id	sid	tid	token	lemma	pos
esrj-119576	1	1	issn	issn	PROPN
esrj-119576	1	2	1794	1794	NUM
esrj-119576	1	3	-	-	SYM
esrj-119576	1	4	6190	6190	NUM
esrj-119576	1	5	e	e	NOUN
esrj-119576	1	6	-	-	NOUN
esrj-119576	1	7	issn	issn	PROPN
esrj-119576	1	8	2339	2339	NUM
esrj-119576	1	9	-	-	SYM
esrj-119576	1	10	3459	3459	NUM
esrj-119576	1	11	https://doi.org/10.15446/esrj.v29n3.119576	https://doi.org/10.15446/esrj.v29n3.119576	NOUN
esrj-119576	1	12	earth	earth	NOUN
esrj-119576	1	13	sciences	sciences	PROPN
esrj-119576	1	14	research	research	PROPN
esrj-119576	1	15	journal	journal	PROPN
esrj-119576	1	16	earth	earth	PROPN
esrj-119576	1	17	sci	sci	PROPN
esrj-119576	1	18	.	.	PUNCT
esrj-119576	2	1	res	res	PROPN
esrj-119576	2	2	.	.	PUNCT
esrj-119576	3	1	j.	j.	PROPN
esrj-119576	3	2	vol	vol	PROPN
esrj-119576	3	3	.	.	PROPN
esrj-119576	4	1	29	29	NUM
esrj-119576	4	2	,	,	PUNCT
esrj-119576	4	3	no	no	INTJ
esrj-119576	4	4	.	.	NOUN
esrj-119576	4	5	3	3	NUM
esrj-119576	4	6	(	(	PUNCT
esrj-119576	4	7	september	september	PROPN
esrj-119576	4	8	,	,	PUNCT
esrj-119576	4	9	2025	2025	NUM
esrj-119576	4	10	):	):	PUNCT
esrj-119576	4	11	363	363	NUM
esrj-119576	4	12	378	378	NUM
esrj-119576	4	13	m	m	NOUN
esrj-119576	4	14	et	et	NOUN
esrj-119576	4	15	eo	eo	NOUN
esrj-119576	4	16	r	r	NOUN
esrj-119576	4	17	o	o	NOUN
esrj-119576	5	1	lo	lo	NOUN
esrj-119576	5	2	g	g	PROPN
esrj-119576	5	3	y	y	PROPN
esrj-119576	5	4	fitting	fit	VERB
esrj-119576	5	5	of	of	ADP
esrj-119576	5	6	statistical	statistical	ADJ
esrj-119576	5	7	distribution	distribution	NOUN
esrj-119576	5	8	in	in	ADP
esrj-119576	5	9	assessing	assess	VERB
esrj-119576	5	10	rainfall	rainfall	NOUN
esrj-119576	5	11	patterns	pattern	NOUN
esrj-119576	5	12	across	across	ADP
esrj-119576	5	13	various	various	ADJ
esrj-119576	5	14	zones	zone	NOUN
esrj-119576	5	15	of	of	ADP
esrj-119576	5	16	assam	assam	PROPN
esrj-119576	5	17	,	,	PUNCT
esrj-119576	5	18	india	india	PROPN
esrj-119576	5	19	tanusree	tanusree	PROPN
esrj-119576	5	20	deb	deb	PROPN
esrj-119576	5	21	roy1	roy1	PROPN
esrj-119576	5	22	,	,	PUNCT
esrj-119576	5	23	dipanjali	dipanjali	PROPN
esrj-119576	5	24	ray1	ray1	PROPN
esrj-119576	5	25	*	*	PROPN
esrj-119576	5	26	,	,	PUNCT
esrj-119576	5	27	subhankar	subhankar	PROPN
esrj-119576	5	28	dutta2	dutta2	PROPN
esrj-119576	5	29	,	,	PUNCT
esrj-119576	5	30	and	and	CCONJ
esrj-119576	5	31	sebul	sebul	VERB
esrj-119576	5	32	islam	islam	PROPN
esrj-119576	5	33	laskar3	laskar3	PROPN
esrj-119576	6	1	1	1	X
esrj-119576	6	2	.	.	X
esrj-119576	7	1	department	department	NOUN
esrj-119576	7	2	of	of	ADP
esrj-119576	7	3	statistics	statistic	NOUN
esrj-119576	7	4	,	,	PUNCT
esrj-119576	7	5	assam	assam	PROPN
esrj-119576	7	6	university	university	PROPN
esrj-119576	7	7	,	,	PUNCT
esrj-119576	7	8	silchar	silchar	PROPN
esrj-119576	7	9	,	,	PUNCT
esrj-119576	7	10	assam	assam	PROPN
esrj-119576	7	11	,	,	PUNCT
esrj-119576	7	12	india	india	PROPN
esrj-119576	7	13	.	.	PROPN
esrj-119576	8	1	2	2	X
esrj-119576	8	2	.	.	X
esrj-119576	8	3	department	department	NOUN
esrj-119576	8	4	of	of	ADP
esrj-119576	8	5	mathematics	mathematic	NOUN
esrj-119576	8	6	,	,	PUNCT
esrj-119576	8	7	bioinformatics	bioinformatics	NOUN
esrj-119576	8	8	and	and	CCONJ
esrj-119576	8	9	computer	computer	NOUN
esrj-119576	8	10	applications	application	NOUN
esrj-119576	8	11	,	,	PUNCT
esrj-119576	8	12	maulana	maulana	PROPN
esrj-119576	8	13	azad	azad	PROPN
esrj-119576	8	14	national	national	PROPN
esrj-119576	8	15	institute	institute	PROPN
esrj-119576	8	16	of	of	ADP
esrj-119576	8	17	technology	technology	PROPN
esrj-119576	8	18	bhopal	bhopal	PROPN
esrj-119576	8	19	,	,	PUNCT
esrj-119576	8	20	madhya	madhya	PROPN
esrj-119576	8	21	pradesh	pradesh	PROPN
esrj-119576	8	22	,	,	PUNCT
esrj-119576	8	23	india	india	PROPN
esrj-119576	8	24	3	3	NUM
esrj-119576	8	25	.	.	PUNCT
esrj-119576	9	1	india	india	PROPN
esrj-119576	9	2	meteorological	meteorological	PROPN
esrj-119576	9	3	department	department	PROPN
esrj-119576	9	4	(	(	PUNCT
esrj-119576	9	5	imd	imd	PROPN
esrj-119576	9	6	)	)	PUNCT
esrj-119576	9	7	,	,	PUNCT
esrj-119576	9	8	new	new	PROPN
esrj-119576	9	9	delhi	delhi	PROPN
esrj-119576	9	10	,	,	PUNCT
esrj-119576	9	11	india	india	PROPN
esrj-119576	9	12	*	*	PUNCT
esrj-119576	9	13	corresponding	correspond	VERB
esrj-119576	9	14	author	author	NOUN
esrj-119576	9	15	:	:	PUNCT
esrj-119576	9	16	dipanjali.ray@aus.ac.in	dipanjali.ray@aus.ac.in	PROPN
esrj-119576	9	17	record	record	NOUN
esrj-119576	9	18	manuscript	manuscript	NOUN
esrj-119576	9	19	received	receive	VERB
esrj-119576	9	20	:	:	PUNCT
esrj-119576	9	21	30/03/2025	30/03/2025	NUM
esrj-119576	9	22	accepted	accept	VERB
esrj-119576	9	23	for	for	ADP
esrj-119576	9	24	publication	publication	NOUN
esrj-119576	9	25	:	:	PUNCT
esrj-119576	9	26	15/09/2025	15/09/2025	NUM
esrj-119576	9	27	how	how	SCONJ
esrj-119576	9	28	to	to	PART
esrj-119576	9	29	cite	cite	VERB
esrj-119576	9	30	this	this	DET
esrj-119576	9	31	item	item	NOUN
esrj-119576	9	32	:	:	PUNCT
esrj-119576	9	33	deb	deb	PROPN
esrj-119576	9	34	roy	roy	PROPN
esrj-119576	9	35	,	,	PUNCT
esrj-119576	9	36	t.	t.	PROPN
esrj-119576	9	37	,	,	PUNCT
esrj-119576	9	38	ray	ray	PROPN
esrj-119576	9	39	,	,	PUNCT
esrj-119576	9	40	d.	d.	PROPN
esrj-119576	9	41	,	,	PUNCT
esrj-119576	9	42	dutta	dutta	PROPN
esrj-119576	9	43	,	,	PUNCT
esrj-119576	9	44	s.	s.	PROPN
esrj-119576	9	45	,	,	PUNCT
esrj-119576	9	46	&	&	CCONJ
esrj-119576	9	47	laskar	laskar	PROPN
esrj-119576	9	48	,	,	PUNCT
esrj-119576	9	49	s.	s.	PROPN
esrj-119576	9	50	i.	i.	PROPN
esrj-119576	9	51	(	(	PUNCT
esrj-119576	9	52	2025	2025	NUM
esrj-119576	9	53	)	)	PUNCT
esrj-119576	9	54	.	.	PUNCT
esrj-119576	10	1	fitting	fit	VERB
esrj-119576	10	2	of	of	ADP
esrj-119576	10	3	statistical	statistical	ADJ
esrj-119576	10	4	distribution	distribution	NOUN
esrj-119576	10	5	in	in	ADP
esrj-119576	10	6	assessing	assess	VERB
esrj-119576	10	7	rainfall	rainfall	NOUN
esrj-119576	10	8	patterns	pattern	NOUN
esrj-119576	10	9	across	across	ADP
esrj-119576	10	10	various	various	ADJ
esrj-119576	10	11	zones	zone	NOUN
esrj-119576	10	12	of	of	ADP
esrj-119576	10	13	assam	assam	PROPN
esrj-119576	10	14	.	.	PUNCT
esrj-119576	11	1	earth	earth	PROPN
esrj-119576	11	2	sciences	sciences	PROPN
esrj-119576	11	3	research	research	PROPN
esrj-119576	11	4	journal	journal	NOUN
esrj-119576	11	5	,	,	PUNCT
esrj-119576	11	6	29(3	29(3	NUM
esrj-119576	11	7	)	)	PUNCT
esrj-119576	11	8	,	,	PUNCT
esrj-119576	11	9	363	363	NUM
esrj-119576	11	10	-	-	SYM
esrj-119576	11	11	378	378	NUM
esrj-119576	11	12	.	.	PUNCT
esrj-119576	12	1	https://	https://	PROPN
esrj-119576	12	2	doi.org/10.15446/esrj.v29n3.119576	doi.org/10.15446/esrj.v29n3.119576	PROPN
esrj-119576	12	3	abstract	abstract	NOUN
esrj-119576	12	4	:	:	PUNCT
esrj-119576	12	5	the	the	DET
esrj-119576	12	6	maximum	maximum	ADJ
esrj-119576	12	7	and	and	CCONJ
esrj-119576	12	8	minimum	minimum	ADJ
esrj-119576	12	9	projected	project	VERB
esrj-119576	12	10	rainfall	rainfall	NOUN
esrj-119576	12	11	for	for	ADP
esrj-119576	12	12	a	a	DET
esrj-119576	12	13	specific	specific	ADJ
esrj-119576	12	14	time	time	NOUN
esrj-119576	12	15	of	of	ADP
esrj-119576	12	16	the	the	DET
esrj-119576	12	17	year	year	NOUN
esrj-119576	12	18	,	,	PUNCT
esrj-119576	12	19	taking	take	VERB
esrj-119576	12	20	into	into	ADP
esrj-119576	12	21	account	account	NOUN
esrj-119576	12	22	a	a	DET
esrj-119576	12	23	particular	particular	ADJ
esrj-119576	12	24	level	level	NOUN
esrj-119576	12	25	of	of	ADP
esrj-119576	12	26	probabilities	probability	NOUN
esrj-119576	12	27	,	,	PUNCT
esrj-119576	12	28	makes	make	VERB
esrj-119576	12	29	up	up	ADP
esrj-119576	12	30	the	the	DET
esrj-119576	12	31	probable	probable	ADJ
esrj-119576	12	32	rainfall	rainfall	NOUN
esrj-119576	12	33	,	,	PUNCT
esrj-119576	12	34	which	which	PRON
esrj-119576	12	35	is	be	AUX
esrj-119576	12	36	a	a	DET
esrj-119576	12	37	great	great	ADJ
esrj-119576	12	38	meteorological	meteorological	ADJ
esrj-119576	12	39	parameter	parameter	NOUN
esrj-119576	12	40	of	of	ADP
esrj-119576	12	41	information	information	NOUN
esrj-119576	12	42	.	.	PUNCT
esrj-119576	13	1	the	the	DET
esrj-119576	13	2	purpose	purpose	NOUN
esrj-119576	13	3	of	of	ADP
esrj-119576	13	4	this	this	DET
esrj-119576	13	5	study	study	NOUN
esrj-119576	13	6	is	be	AUX
esrj-119576	13	7	to	to	PART
esrj-119576	13	8	assess	assess	VERB
esrj-119576	13	9	the	the	DET
esrj-119576	13	10	performance	performance	NOUN
esrj-119576	13	11	of	of	ADP
esrj-119576	13	12	probability	probability	NOUN
esrj-119576	13	13	distributions	distribution	NOUN
esrj-119576	13	14	using	use	VERB
esrj-119576	13	15	various	various	ADJ
esrj-119576	13	16	goodness	goodness	NOUN
esrj-119576	13	17	-	-	PUNCT
esrj-119576	13	18	of	of	ADP
esrj-119576	13	19	-	-	PUNCT
esrj-119576	13	20	fit	fit	ADJ
esrj-119576	13	21	tests	test	NOUN
esrj-119576	13	22	in	in	ADP
esrj-119576	13	23	order	order	NOUN
esrj-119576	13	24	to	to	PART
esrj-119576	13	25	develop	develop	VERB
esrj-119576	13	26	a	a	DET
esrj-119576	13	27	standard	standard	NOUN
esrj-119576	13	28	for	for	ADP
esrj-119576	13	29	selecting	select	VERB
esrj-119576	13	30	them	they	PRON
esrj-119576	13	31	in	in	ADP
esrj-119576	13	32	various	various	ADJ
esrj-119576	13	33	zones	zone	NOUN
esrj-119576	13	34	of	of	ADP
esrj-119576	13	35	assam	assam	PROPN
esrj-119576	13	36	based	base	VERB
esrj-119576	13	37	on	on	ADP
esrj-119576	13	38	monthly	monthly	ADJ
esrj-119576	13	39	rainfall	rainfall	NOUN
esrj-119576	13	40	data	datum	NOUN
esrj-119576	13	41	from	from	ADP
esrj-119576	13	42	1985	1985	NUM
esrj-119576	13	43	-	-	SYM
esrj-119576	13	44	2022	2022	NUM
esrj-119576	13	45	.	.	PUNCT
esrj-119576	14	1	ten	ten	NUM
esrj-119576	14	2	different	different	ADJ
esrj-119576	14	3	distributions	distribution	NOUN
esrj-119576	14	4	such	such	ADJ
esrj-119576	14	5	as	as	ADP
esrj-119576	14	6	gumbel	gumbel	PROPN
esrj-119576	14	7	,	,	PUNCT
esrj-119576	14	8	weibull	weibull	PROPN
esrj-119576	14	9	,	,	PUNCT
esrj-119576	14	10	gamma	gamma	NOUN
esrj-119576	14	11	,	,	PUNCT
esrj-119576	14	12	logistic	logistic	ADJ
esrj-119576	14	13	,	,	PUNCT
esrj-119576	14	14	exponential	exponential	NOUN
esrj-119576	14	15	,	,	PUNCT
esrj-119576	14	16	log	log	NOUN
esrj-119576	14	17	-	-	PUNCT
esrj-119576	14	18	normal	normal	ADJ
esrj-119576	14	19	,	,	PUNCT
esrj-119576	14	20	pearson-0	pearson-0	NUM
esrj-119576	14	21	,	,	PUNCT
esrj-119576	14	22	pearson	pearson	PROPN
esrj-119576	14	23	-	-	PUNCT
esrj-119576	14	24	i	i	PROPN
esrj-119576	14	25	,	,	PUNCT
esrj-119576	14	26	pearson	pearson	PROPN
esrj-119576	14	27	-	-	PUNCT
esrj-119576	14	28	iii	iii	PROPN
esrj-119576	14	29	and	and	CCONJ
esrj-119576	14	30	pearson	pearson	PROPN
esrj-119576	14	31	-	-	PUNCT
esrj-119576	14	32	v	v	NOUN
esrj-119576	14	33	distributions	distribution	NOUN
esrj-119576	14	34	have	have	AUX
esrj-119576	14	35	been	be	AUX
esrj-119576	14	36	considered	consider	VERB
esrj-119576	14	37	in	in	ADP
esrj-119576	14	38	the	the	DET
esrj-119576	14	39	study	study	NOUN
esrj-119576	14	40	.	.	PUNCT
esrj-119576	15	1	the	the	DET
esrj-119576	15	2	maximum	maximum	ADJ
esrj-119576	15	3	likelihood	likelihood	NOUN
esrj-119576	15	4	estimation	estimation	NOUN
esrj-119576	15	5	approach	approach	NOUN
esrj-119576	15	6	was	be	AUX
esrj-119576	15	7	used	use	VERB
esrj-119576	15	8	to	to	PART
esrj-119576	15	9	estimate	estimate	VERB
esrj-119576	15	10	the	the	DET
esrj-119576	15	11	parameters	parameter	NOUN
esrj-119576	15	12	associated	associate	VERB
esrj-119576	15	13	with	with	ADP
esrj-119576	15	14	these	these	DET
esrj-119576	15	15	distributions	distribution	NOUN
esrj-119576	15	16	.	.	PUNCT
esrj-119576	16	1	the	the	DET
esrj-119576	16	2	best	well	ADV
esrj-119576	16	3	fitted	fit	VERB
esrj-119576	16	4	probability	probability	NOUN
esrj-119576	16	5	distribution	distribution	NOUN
esrj-119576	16	6	is	be	AUX
esrj-119576	16	7	determined	determine	VERB
esrj-119576	16	8	using	use	VERB
esrj-119576	16	9	a	a	DET
esrj-119576	16	10	variety	variety	NOUN
esrj-119576	16	11	of	of	ADP
esrj-119576	16	12	goodness	goodness	NOUN
esrj-119576	16	13	of	of	ADP
esrj-119576	16	14	fit	fit	ADJ
esrj-119576	16	15	techniques	technique	NOUN
esrj-119576	16	16	,	,	PUNCT
esrj-119576	16	17	including	include	VERB
esrj-119576	16	18	the	the	DET
esrj-119576	16	19	bayesian	bayesian	ADJ
esrj-119576	16	20	information	information	NOUN
esrj-119576	16	21	criteria	criterion	NOUN
esrj-119576	16	22	(	(	PUNCT
esrj-119576	16	23	bic	bic	PROPN
esrj-119576	16	24	)	)	PUNCT
esrj-119576	16	25	,	,	PUNCT
esrj-119576	16	26	akaike	akaike	ADP
esrj-119576	16	27	information	information	NOUN
esrj-119576	16	28	criterion	criterion	NOUN
esrj-119576	16	29	(	(	PUNCT
esrj-119576	16	30	aic	aic	PROPN
esrj-119576	16	31	)	)	PUNCT
esrj-119576	16	32	,	,	PUNCT
esrj-119576	16	33	and	and	CCONJ
esrj-119576	16	34	kolmogorov	kolmogorov	PROPN
esrj-119576	16	35	-	-	PUNCT
esrj-119576	16	36	smirnov	smirnov	NOUN
esrj-119576	16	37	(	(	PUNCT
esrj-119576	16	38	k	k	NOUN
esrj-119576	16	39	-	-	PUNCT
esrj-119576	16	40	s	s	NOUN
esrj-119576	16	41	)	)	PUNCT
esrj-119576	16	42	test	test	NOUN
esrj-119576	16	43	.	.	PUNCT
esrj-119576	17	1	although	although	SCONJ
esrj-119576	17	2	not	not	PART
esrj-119576	17	3	one	one	NUM
esrj-119576	17	4	distribution	distribution	NOUN
esrj-119576	17	5	fits	fit	VERB
esrj-119576	17	6	the	the	DET
esrj-119576	17	7	rainfall	rainfall	NOUN
esrj-119576	17	8	data	datum	NOUN
esrj-119576	17	9	perfectly	perfectly	ADV
esrj-119576	17	10	for	for	ADP
esrj-119576	17	11	every	every	DET
esrj-119576	17	12	month	month	NOUN
esrj-119576	17	13	,	,	PUNCT
esrj-119576	17	14	the	the	DET
esrj-119576	17	15	pearson	pearson	PROPN
esrj-119576	17	16	-	-	PUNCT
esrj-119576	17	17	i	i	PRON
esrj-119576	17	18	distribution	distribution	NOUN
esrj-119576	17	19	typically	typically	ADV
esrj-119576	17	20	fits	fit	VERB
esrj-119576	17	21	the	the	DET
esrj-119576	17	22	data	datum	NOUN
esrj-119576	17	23	better	well	ADV
esrj-119576	17	24	than	than	ADP
esrj-119576	17	25	the	the	DET
esrj-119576	17	26	other	other	ADJ
esrj-119576	17	27	distributions	distribution	NOUN
esrj-119576	17	28	most	most	ADJ
esrj-119576	17	29	of	of	ADP
esrj-119576	17	30	the	the	DET
esrj-119576	17	31	time	time	NOUN
esrj-119576	17	32	,	,	PUNCT
esrj-119576	17	33	according	accord	VERB
esrj-119576	17	34	to	to	ADP
esrj-119576	17	35	the	the	DET
esrj-119576	17	36	goodness	goodness	NOUN
esrj-119576	17	37	of	of	ADP
esrj-119576	17	38	fit	fit	ADJ
esrj-119576	17	39	tools	tool	NOUN
esrj-119576	17	40	.	.	PUNCT
esrj-119576	18	1	the	the	DET
esrj-119576	18	2	data	datum	NOUN
esrj-119576	18	3	has	have	AUX
esrj-119576	18	4	been	be	AUX
esrj-119576	18	5	collected	collect	VERB
esrj-119576	18	6	from	from	ADP
esrj-119576	18	7	the	the	DET
esrj-119576	18	8	national	national	ADJ
esrj-119576	18	9	data	data	PROPN
esrj-119576	18	10	centre	centre	PROPN
esrj-119576	18	11	(	(	PUNCT
esrj-119576	18	12	ndc	ndc	NOUN
esrj-119576	18	13	)	)	PUNCT
esrj-119576	18	14	,	,	PUNCT
esrj-119576	18	15	india	india	PROPN
esrj-119576	18	16	meteorological	meteorological	PROPN
esrj-119576	18	17	department	department	PROPN
esrj-119576	18	18	(	(	PUNCT
esrj-119576	18	19	imd	imd	PROPN
esrj-119576	18	20	)	)	PUNCT
esrj-119576	18	21	,	,	PUNCT
esrj-119576	18	22	pune	pune	NOUN
esrj-119576	18	23	.	.	PUNCT
esrj-119576	19	1	keywords	keyword	NOUN
esrj-119576	19	2	:	:	PUNCT
esrj-119576	20	1	aic	aic	PROPN
esrj-119576	20	2	;	;	PUNCT
esrj-119576	20	3	bic	bic	PROPN
esrj-119576	20	4	;	;	PUNCT
esrj-119576	20	5	k	k	PROPN
esrj-119576	20	6	-	-	PUNCT
esrj-119576	20	7	s	s	PART
esrj-119576	20	8	test	test	NOUN
esrj-119576	20	9	;	;	PUNCT
esrj-119576	20	10	maximum	maximum	ADJ
esrj-119576	20	11	likelihood	likelihood	NOUN
esrj-119576	20	12	estimation	estimation	NOUN
esrj-119576	20	13	;	;	PUNCT
esrj-119576	20	14	precipitation	precipitation	NOUN
esrj-119576	20	15	.	.	PUNCT
esrj-119576	21	1	ajuste	ajuste	PROPN
esrj-119576	21	2	de	de	PROPN
esrj-119576	21	3	la	la	PROPN
esrj-119576	21	4	distribución	distribución	PROPN
esrj-119576	21	5	estadística	estadística	PROPN
esrj-119576	21	6	para	para	PROPN
esrj-119576	21	7	evaluar	evaluar	PROPN
esrj-119576	21	8	los	los	PROPN
esrj-119576	21	9	patrones	patrones	PROPN
esrj-119576	21	10	de	de	PROPN
esrj-119576	21	11	precipitaciones	precipitaciones	PROPN
esrj-119576	21	12	en	en	PROPN
esrj-119576	21	13	diversas	diversas	PROPN
esrj-119576	21	14	zonas	zonas	PROPN
esrj-119576	21	15	de	de	PROPN
esrj-119576	21	16	assam	assam	PROPN
esrj-119576	21	17	,	,	PUNCT
esrj-119576	21	18	india	india	PROPN
esrj-119576	21	19	resumen	resumen	PROPN
esrj-119576	21	20	la	la	PROPN
esrj-119576	22	1	precipitación	precipitación	PROPN
esrj-119576	22	2	máxima	máxima	PROPN
esrj-119576	22	3	y	y	PROPN
esrj-119576	22	4	mínima	mínima	PROPN
esrj-119576	22	5	proyectada	proyectada	PROPN
esrj-119576	22	6	para	para	PROPN
esrj-119576	22	7	una	una	PROPN
esrj-119576	22	8	época	época	PROPN
esrj-119576	22	9	específica	específica	PROPN
esrj-119576	22	10	del	del	PROPN
esrj-119576	22	11	año	año	PROPN
esrj-119576	22	12	,	,	PUNCT
esrj-119576	22	13	con	con	PROPN
esrj-119576	22	14	un	un	PROPN
esrj-119576	22	15	nivel	nivel	PROPN
esrj-119576	22	16	particular	particular	PROPN
esrj-119576	22	17	de	de	X
esrj-119576	22	18	probabilidades	probabilidades	PROPN
esrj-119576	22	19	,	,	PUNCT
esrj-119576	22	20	constituye	constituye	X
esrj-119576	22	21	la	la	PRON
esrj-119576	22	22	precipitación	precipitación	ADJ
esrj-119576	22	23	probable	probable	NOUN
esrj-119576	22	24	,	,	PUNCT
esrj-119576	22	25	que	que	PROPN
esrj-119576	22	26	es	es	PROPN
esrj-119576	22	27	un	un	PROPN
esrj-119576	22	28	gran	gran	PROPN
esrj-119576	22	29	parámetro	parámetro	PROPN
esrj-119576	22	30	meteorológico	meteorológico	PROPN
esrj-119576	22	31	de	de	PROPN
esrj-119576	22	32	información	información	PROPN
esrj-119576	22	33	.	.	PUNCT
esrj-119576	23	1	el	el	PROPN
esrj-119576	23	2	propósito	propósito	PROPN
esrj-119576	23	3	de	de	X
esrj-119576	23	4	este	este	X
esrj-119576	23	5	estudio	estudio	PROPN
esrj-119576	23	6	es	es	PROPN
esrj-119576	23	7	evaluar	evaluar	PROPN
esrj-119576	23	8	el	el	PROPN
esrj-119576	23	9	rendimiento	rendimiento	PROPN
esrj-119576	23	10	de	de	PROPN
esrj-119576	23	11	las	las	PROPN
esrj-119576	23	12	distribuciones	distribuciones	PROPN
esrj-119576	23	13	de	de	ADP
esrj-119576	23	14	probabilidad	probabilidad	PROPN
esrj-119576	23	15	utilizando	utilizando	PROPN
esrj-119576	23	16	varias	varias	PROPN
esrj-119576	23	17	pruebas	pruebas	PROPN
esrj-119576	23	18	de	de	X
esrj-119576	23	19	bondad	bondad	PROPN
esrj-119576	23	20	de	de	X
esrj-119576	23	21	ajuste	ajuste	PROPN
esrj-119576	23	22	con	con	PROPN
esrj-119576	23	23	el	el	PROPN
esrj-119576	23	24	fin	fin	PROPN
esrj-119576	23	25	de	de	X
esrj-119576	23	26	desarrollar	desarrollar	PROPN
esrj-119576	23	27	un	un	PROPN
esrj-119576	23	28	estándar	estándar	PROPN
esrj-119576	23	29	para	para	PROPN
esrj-119576	23	30	luego	luego	PROPN
esrj-119576	23	31	aplicarlo	aplicarlo	PROPN
esrj-119576	23	32	en	en	PROPN
esrj-119576	23	33	varias	varias	PROPN
esrj-119576	23	34	zonas	zonas	PROPN
esrj-119576	23	35	de	de	PROPN
esrj-119576	23	36	assam	assam	PROPN
esrj-119576	23	37	con	con	PROPN
esrj-119576	23	38	base	base	PROPN
esrj-119576	23	39	en	en	PROPN
esrj-119576	23	40	datos	datos	X
esrj-119576	23	41	mensuales	mensuale	NOUN
esrj-119576	23	42	de	de	X
esrj-119576	23	43	precipitación	precipitación	X
esrj-119576	23	44	de	de	X
esrj-119576	23	45	1985	1985	NUM
esrj-119576	23	46	a	a	DET
esrj-119576	23	47	2022	2022	NUM
esrj-119576	23	48	.	.	PUNCT
esrj-119576	24	1	en	en	PROPN
esrj-119576	24	2	el	el	PROPN
esrj-119576	24	3	estudio	estudio	PROPN
esrj-119576	24	4	se	se	PROPN
esrj-119576	24	5	han	han	PROPN
esrj-119576	24	6	considerado	considerado	PROPN
esrj-119576	24	7	diez	diez	PROPN
esrj-119576	24	8	distribuciones	distribuciones	PROPN
esrj-119576	24	9	diferentes	diferente	VERB
esrj-119576	24	10	como	como	PROPN
esrj-119576	24	11	gumbel	gumbel	PROPN
esrj-119576	24	12	,	,	PUNCT
esrj-119576	24	13	weibull	weibull	PROPN
esrj-119576	24	14	,	,	PUNCT
esrj-119576	24	15	gamma	gamma	NOUN
esrj-119576	24	16	,	,	PUNCT
esrj-119576	24	17	logística	logística	PROPN
esrj-119576	24	18	,	,	PUNCT
esrj-119576	24	19	exponencial	exponencial	ADJ
esrj-119576	24	20	,	,	PUNCT
esrj-119576	24	21	log	log	NOUN
esrj-119576	24	22	-	-	PUNCT
esrj-119576	24	23	normal	normal	ADJ
esrj-119576	24	24	,	,	PUNCT
esrj-119576	24	25	pearson-0	pearson-0	NUM
esrj-119576	24	26	,	,	PUNCT
esrj-119576	24	27	pearson	pearson	PROPN
esrj-119576	24	28	-	-	PUNCT
esrj-119576	24	29	i	i	PROPN
esrj-119576	24	30	,	,	PUNCT
esrj-119576	24	31	pearson	pearson	PROPN
esrj-119576	24	32	-	-	PUNCT
esrj-119576	24	33	iii	iii	PROPN
esrj-119576	24	34	y	y	PROPN
esrj-119576	24	35	pearson	pearson	PROPN
esrj-119576	24	36	-	-	PUNCT
esrj-119576	24	37	v.	v.	PROPN
esrj-119576	24	38	el	el	PROPN
esrj-119576	24	39	enfoque	enfoque	PROPN
esrj-119576	24	40	de	de	X
esrj-119576	24	41	estimación	estimación	X
esrj-119576	24	42	de	de	X
esrj-119576	24	43	máxima	máxima	PROPN
esrj-119576	24	44	verosimilitud	verosimilitud	PROPN
esrj-119576	24	45	se	se	X
esrj-119576	24	46	utilizó	utilizó	PROPN
esrj-119576	24	47	para	para	PROPN
esrj-119576	24	48	estimar	estimar	PROPN
esrj-119576	24	49	los	los	PROPN
esrj-119576	24	50	parámetros	parámetros	PROPN
esrj-119576	24	51	asociados	asociados	PROPN
esrj-119576	24	52	con	con	PROPN
esrj-119576	24	53	estas	estas	PROPN
esrj-119576	24	54	distribuciones	distribucione	NOUN
esrj-119576	24	55	.	.	PUNCT
esrj-119576	25	1	la	la	PROPN
esrj-119576	25	2	distribución	distribución	PROPN
esrj-119576	25	3	de	de	PROPN
esrj-119576	25	4	probabilidad	probabilidad	PROPN
esrj-119576	25	5	mejor	mejor	PROPN
esrj-119576	25	6	ajustada	ajustada	PROPN
esrj-119576	25	7	se	se	PROPN
esrj-119576	25	8	determina	determina	PROPN
esrj-119576	25	9	utilizando	utilizando	PROPN
esrj-119576	25	10	una	una	PROPN
esrj-119576	25	11	variedad	variedad	PROPN
esrj-119576	25	12	de	de	X
esrj-119576	25	13	técnicas	técnicas	PROPN
esrj-119576	25	14	de	de	X
esrj-119576	25	15	bondad	bondad	PROPN
esrj-119576	25	16	de	de	PROPN
esrj-119576	25	17	ajuste	ajuste	PROPN
esrj-119576	25	18	,	,	PUNCT
esrj-119576	25	19	incluyendo	incluyendo	NOUN
esrj-119576	25	20	los	los	PROPN
esrj-119576	25	21	criterios	criterios	PROPN
esrj-119576	25	22	de	de	PROPN
esrj-119576	25	23	información	información	PROPN
esrj-119576	25	24	bayesianos	bayesianos	PROPN
esrj-119576	25	25	(	(	PUNCT
esrj-119576	25	26	bic	bic	PROPN
esrj-119576	25	27	)	)	PUNCT
esrj-119576	25	28	,	,	PUNCT
esrj-119576	25	29	el	el	PROPN
esrj-119576	25	30	criterio	criterio	PROPN
esrj-119576	25	31	de	de	PROPN
esrj-119576	25	32	información	información	PROPN
esrj-119576	25	33	de	de	X
esrj-119576	25	34	akaike	akaike	PROPN
esrj-119576	25	35	(	(	PUNCT
esrj-119576	25	36	aic	aic	PROPN
esrj-119576	25	37	)	)	PUNCT
esrj-119576	25	38	y	y	PROPN
esrj-119576	25	39	la	la	PROPN
esrj-119576	25	40	prueba	prueba	PROPN
esrj-119576	25	41	de	de	X
esrj-119576	25	42	kolmogorov	kolmogorov	PROPN
esrj-119576	25	43	-	-	PUNCT
esrj-119576	25	44	smirnov	smirnov	NOUN
esrj-119576	25	45	(	(	PUNCT
esrj-119576	25	46	k	k	NOUN
esrj-119576	25	47	-	-	PUNCT
esrj-119576	25	48	s	s	NOUN
esrj-119576	25	49	)	)	PUNCT
esrj-119576	25	50	.	.	PUNCT
esrj-119576	26	1	aunque	aunque	PROPN
esrj-119576	26	2	ninguna	ninguna	PROPN
esrj-119576	26	3	distribución	distribución	PROPN
esrj-119576	26	4	se	se	PROPN
esrj-119576	26	5	ajusta	ajusta	PROPN
esrj-119576	26	6	perfectamente	perfectamente	VERB
esrj-119576	26	7	a	a	DET
esrj-119576	26	8	los	los	PROPN
esrj-119576	26	9	datos	datos	X
esrj-119576	26	10	de	de	PROPN
esrj-119576	26	11	precipitación	precipitación	PROPN
esrj-119576	26	12	para	para	PROPN
esrj-119576	26	13	todos	todo	NOUN
esrj-119576	26	14	los	los	PROPN
esrj-119576	26	15	meses	meses	PROPN
esrj-119576	26	16	,	,	PUNCT
esrj-119576	26	17	la	la	PROPN
esrj-119576	26	18	distribución	distribución	PROPN
esrj-119576	26	19	pearson	pearson	PROPN
esrj-119576	26	20	-	-	PUNCT
esrj-119576	26	21	i	i	PROPN
esrj-119576	26	22	suele	suele	PROPN
esrj-119576	26	23	ajustarse	ajustarse	PROPN
esrj-119576	26	24	mejor	mejor	PROPN
esrj-119576	26	25	a	a	DET
esrj-119576	26	26	los	los	PROPN
esrj-119576	26	27	datos	datos	PROPN
esrj-119576	26	28	que	que	PROPN
esrj-119576	26	29	las	las	PROPN
esrj-119576	26	30	demás	demás	PROPN
esrj-119576	26	31	distribuciones	distribuciones	PROPN
esrj-119576	26	32	la	la	PROPN
esrj-119576	26	33	mayor	mayor	PROPN
esrj-119576	26	34	parte	parte	PROPN
esrj-119576	26	35	del	del	PROPN
esrj-119576	26	36	tiempo	tiempo	PROPN
esrj-119576	26	37	,	,	PUNCT
esrj-119576	26	38	según	según	PROPN
esrj-119576	26	39	las	las	PROPN
esrj-119576	26	40	herramientas	herramientas	PROPN
esrj-119576	26	41	de	de	X
esrj-119576	26	42	bondad	bondad	PROPN
esrj-119576	26	43	de	de	PROPN
esrj-119576	26	44	ajuste	ajuste	PROPN
esrj-119576	26	45	.	.	PUNCT
esrj-119576	27	1	los	los	PROPN
esrj-119576	27	2	datos	datos	PROPN
esrj-119576	27	3	se	se	X
esrj-119576	27	4	recopilaron	recopilaron	VERB
esrj-119576	27	5	del	del	PROPN
esrj-119576	27	6	centro	centro	PROPN
esrj-119576	27	7	nacional	nacional	PROPN
esrj-119576	27	8	de	de	X
esrj-119576	27	9	datos	datos	X
esrj-119576	27	10	(	(	PUNCT
esrj-119576	27	11	ndc	ndc	NOUN
esrj-119576	27	12	)	)	PUNCT
esrj-119576	27	13	del	del	PROPN
esrj-119576	27	14	departamento	departamento	NOUN
esrj-119576	27	15	meteorológico	meteorológico	PROPN
esrj-119576	27	16	de	de	PROPN
esrj-119576	27	17	la	la	PROPN
esrj-119576	27	18	india	india	PROPN
esrj-119576	27	19	(	(	PUNCT
esrj-119576	27	20	imd	imd	PROPN
esrj-119576	27	21	)	)	PUNCT
esrj-119576	27	22	en	en	ADP
esrj-119576	27	23	pune	pune	PROPN
esrj-119576	27	24	.	.	PUNCT
esrj-119576	28	1	palabras	palabras	PROPN
esrj-119576	28	2	clave	clave	PROPN
esrj-119576	28	3	:	:	PUNCT
esrj-119576	28	4	aic	aic	PROPN
esrj-119576	28	5	;	;	PUNCT
esrj-119576	28	6	bic	bic	PROPN
esrj-119576	28	7	;	;	PUNCT
esrj-119576	28	8	prueba	prueba	PROPN
esrj-119576	28	9	k	k	PROPN
esrj-119576	28	10	-	-	PUNCT
esrj-119576	28	11	s	s	PROPN
esrj-119576	28	12	;	;	PUNCT
esrj-119576	28	13	precipitación	precipitación	PROPN
esrj-119576	28	14	máxima	máxima	PROPN
esrj-119576	28	15	proyectada	proyectada	PROPN
esrj-119576	28	16	;	;	PUNCT
esrj-119576	28	17	precipitation	precipitation	NOUN
esrj-119576	28	18	.	.	PUNCT
esrj-119576	29	1	https://doi.org/10.15446/esrj.v29n3.119576	https://doi.org/10.15446/esrj.v29n3.119576	X
esrj-119576	29	2	mailto:dipanjali.ray@aus.ac.in	mailto:dipanjali.ray@aus.ac.in	NOUN
esrj-119576	29	3	https://doi.org/10.15446/esrj.v29n3.119576	https://doi.org/10.15446/esrj.v29n3.119576	X
esrj-119576	29	4	https://doi.org/10.15446/esrj.v29n3.119576	https://doi.org/10.15446/esrj.v29n3.119576	NOUN
esrj-119576	29	5	364	364	NUM
esrj-119576	29	6	tanusree	tanusree	PROPN
esrj-119576	29	7	deb	deb	PROPN
esrj-119576	29	8	roy	roy	PROPN
esrj-119576	29	9	,	,	PUNCT
esrj-119576	29	10	dipanjali	dipanjali	PROPN
esrj-119576	29	11	ray	ray	PROPN
esrj-119576	29	12	,	,	PUNCT
esrj-119576	29	13	subhankar	subhankar	PROPN
esrj-119576	29	14	dutta	dutta	PROPN
esrj-119576	29	15	,	,	PUNCT
esrj-119576	29	16	and	and	CCONJ
esrj-119576	29	17	sebul	sebul	VERB
esrj-119576	29	18	islam	islam	PROPN
esrj-119576	29	19	laskar	laskar	PROPN
esrj-119576	29	20	1	1	NUM
esrj-119576	29	21	introduction	introduction	NOUN
esrj-119576	29	22	:	:	PUNCT
esrj-119576	29	23	the	the	DET
esrj-119576	29	24	identification	identification	NOUN
esrj-119576	29	25	of	of	ADP
esrj-119576	29	26	a	a	DET
esrj-119576	29	27	probability	probability	NOUN
esrj-119576	29	28	distribution	distribution	NOUN
esrj-119576	29	29	that	that	PRON
esrj-119576	29	30	precisely	precisely	ADV
esrj-119576	29	31	matches	match	VERB
esrj-119576	29	32	rainfall	rainfall	NOUN
esrj-119576	29	33	data	datum	NOUN
esrj-119576	29	34	has	have	AUX
esrj-119576	29	35	garnered	garner	VERB
esrj-119576	29	36	interest	interest	NOUN
esrj-119576	29	37	in	in	ADP
esrj-119576	29	38	several	several	ADJ
esrj-119576	29	39	disciplines	discipline	NOUN
esrj-119576	29	40	,	,	PUNCT
esrj-119576	29	41	including	include	VERB
esrj-119576	29	42	hydrology	hydrology	NOUN
esrj-119576	29	43	and	and	CCONJ
esrj-119576	29	44	meteorology	meteorology	NOUN
esrj-119576	29	45	.	.	PUNCT
esrj-119576	30	1	in	in	ADP
esrj-119576	30	2	precipitation	precipitation	NOUN
esrj-119576	30	3	research	research	NOUN
esrj-119576	30	4	,	,	PUNCT
esrj-119576	30	5	one	one	NUM
esrj-119576	30	6	of	of	ADP
esrj-119576	30	7	the	the	DET
esrj-119576	30	8	most	most	ADV
esrj-119576	30	9	prominent	prominent	ADJ
esrj-119576	30	10	topics	topic	NOUN
esrj-119576	30	11	is	be	AUX
esrj-119576	30	12	determining	determine	VERB
esrj-119576	30	13	the	the	DET
esrj-119576	30	14	most	most	ADV
esrj-119576	30	15	suitable	suitable	ADJ
esrj-119576	30	16	distribution	distribution	NOUN
esrj-119576	30	17	for	for	ADP
esrj-119576	30	18	rainfall	rainfall	NOUN
esrj-119576	30	19	data	datum	NOUN
esrj-119576	30	20	.	.	PUNCT
esrj-119576	31	1	various	various	ADJ
esrj-119576	31	2	forms	form	NOUN
esrj-119576	31	3	of	of	ADP
esrj-119576	31	4	precipitation	precipitation	NOUN
esrj-119576	31	5	include	include	VERB
esrj-119576	31	6	drizzle	drizzle	NOUN
esrj-119576	31	7	,	,	PUNCT
esrj-119576	31	8	snow	snow	NOUN
esrj-119576	31	9	,	,	PUNCT
esrj-119576	31	10	graupel	graupel	PROPN
esrj-119576	31	11	,	,	PUNCT
esrj-119576	31	12	sleet	sleet	NOUN
esrj-119576	31	13	,	,	PUNCT
esrj-119576	31	14	and	and	CCONJ
esrj-119576	31	15	freezing	freeze	VERB
esrj-119576	31	16	drizzle	drizzle	NOUN
esrj-119576	31	17	,	,	PUNCT
esrj-119576	31	18	with	with	ADP
esrj-119576	31	19	rainfall	rainfall	NOUN
esrj-119576	31	20	being	be	AUX
esrj-119576	31	21	the	the	DET
esrj-119576	31	22	largest	large	ADJ
esrj-119576	31	23	type	type	NOUN
esrj-119576	31	24	.	.	PUNCT
esrj-119576	32	1	by	by	ADP
esrj-119576	32	2	employing	employ	VERB
esrj-119576	32	3	several	several	ADJ
esrj-119576	32	4	probability	probability	NOUN
esrj-119576	32	5	distributions	distribution	NOUN
esrj-119576	32	6	,	,	PUNCT
esrj-119576	32	7	it	it	PRON
esrj-119576	32	8	is	be	AUX
esrj-119576	32	9	feasible	feasible	ADJ
esrj-119576	32	10	to	to	PART
esrj-119576	32	11	predict	predict	VERB
esrj-119576	32	12	the	the	DET
esrj-119576	32	13	amount	amount	NOUN
esrj-119576	32	14	of	of	ADP
esrj-119576	32	15	precipitation	precipitation	NOUN
esrj-119576	32	16	rather	rather	ADV
esrj-119576	32	17	precisely	precisely	ADV
esrj-119576	32	18	.	.	PUNCT
esrj-119576	33	1	when	when	SCONJ
esrj-119576	33	2	managing	manage	VERB
esrj-119576	33	3	water	water	NOUN
esrj-119576	33	4	resources	resource	NOUN
esrj-119576	33	5	and	and	CCONJ
esrj-119576	33	6	identifying	identify	VERB
esrj-119576	33	7	the	the	DET
esrj-119576	33	8	dry	dry	ADJ
esrj-119576	33	9	and	and	CCONJ
esrj-119576	33	10	wet	wet	ADJ
esrj-119576	33	11	seasons	season	NOUN
esrj-119576	33	12	,	,	PUNCT
esrj-119576	33	13	this	this	PRON
esrj-119576	33	14	is	be	AUX
esrj-119576	33	15	crucial	crucial	ADJ
esrj-119576	33	16	information	information	NOUN
esrj-119576	33	17	for	for	ADP
esrj-119576	33	18	agricultural	agricultural	ADJ
esrj-119576	33	19	planners	planner	NOUN
esrj-119576	33	20	.	.	PUNCT
esrj-119576	34	1	hydrological	hydrological	ADJ
esrj-119576	34	2	data	datum	NOUN
esrj-119576	34	3	sets	set	NOUN
esrj-119576	34	4	can	can	AUX
esrj-119576	34	5	be	be	AUX
esrj-119576	34	6	fitted	fit	VERB
esrj-119576	34	7	with	with	ADP
esrj-119576	34	8	a	a	DET
esrj-119576	34	9	variety	variety	NOUN
esrj-119576	34	10	of	of	ADP
esrj-119576	34	11	probability	probability	NOUN
esrj-119576	34	12	distributions	distribution	NOUN
esrj-119576	34	13	(	(	PUNCT
esrj-119576	34	14	ozonur	ozonur	NOUN
esrj-119576	34	15	et	et	NOUN
esrj-119576	34	16	al	al	PROPN
esrj-119576	34	17	.	.	PROPN
esrj-119576	34	18	,	,	PUNCT
esrj-119576	34	19	2021	2021	NUM
esrj-119576	34	20	,	,	PUNCT
esrj-119576	34	21	mandal	mandal	NOUN
esrj-119576	34	22	and	and	CCONJ
esrj-119576	34	23	choudhury	choudhury	PROPN
esrj-119576	34	24	,	,	PUNCT
esrj-119576	34	25	2014	2014	NUM
esrj-119576	34	26	)	)	PUNCT
esrj-119576	34	27	.	.	PUNCT
esrj-119576	35	1	numerous	numerous	ADJ
esrj-119576	35	2	researchers	researcher	NOUN
esrj-119576	35	3	have	have	AUX
esrj-119576	35	4	employed	employ	VERB
esrj-119576	35	5	the	the	DET
esrj-119576	35	6	probability	probability	NOUN
esrj-119576	35	7	distribution	distribution	NOUN
esrj-119576	35	8	function	function	NOUN
esrj-119576	35	9	to	to	PART
esrj-119576	35	10	examine	examine	VERB
esrj-119576	35	11	rainfall	rainfall	NOUN
esrj-119576	35	12	in	in	ADP
esrj-119576	35	13	various	various	ADJ
esrj-119576	35	14	dimensions	dimension	NOUN
esrj-119576	35	15	.	.	PUNCT
esrj-119576	36	1	thom	thom	PROPN
esrj-119576	36	2	(	(	PUNCT
esrj-119576	36	3	1958	1958	NUM
esrj-119576	36	4	)	)	PUNCT
esrj-119576	36	5	has	have	AUX
esrj-119576	36	6	analysed	analyse	VERB
esrj-119576	36	7	the	the	DET
esrj-119576	36	8	meteorological	meteorological	ADJ
esrj-119576	36	9	properties	property	NOUN
esrj-119576	36	10	of	of	ADP
esrj-119576	36	11	the	the	DET
esrj-119576	36	12	gamma	gamma	NOUN
esrj-119576	36	13	distribution	distribution	NOUN
esrj-119576	36	14	,	,	PUNCT
esrj-119576	36	15	bobee	bobee	ADV
esrj-119576	36	16	and	and	CCONJ
esrj-119576	36	17	robitaille	robitaille	PROPN
esrj-119576	36	18	(	(	PUNCT
esrj-119576	36	19	1977	1977	NUM
esrj-119576	36	20	)	)	PUNCT
esrj-119576	36	21	demonstrated	demonstrate	VERB
esrj-119576	36	22	that	that	SCONJ
esrj-119576	36	23	pearson	pearson	PROPN
esrj-119576	36	24	iii	iii	PROPN
esrj-119576	36	25	outperforms	outperform	NOUN
esrj-119576	36	26	log	log	PROPN
esrj-119576	36	27	pearson	pearson	PROPN
esrj-119576	36	28	iii	iii	PROPN
esrj-119576	36	29	for	for	ADP
esrj-119576	36	30	flood	flood	NOUN
esrj-119576	36	31	data	datum	NOUN
esrj-119576	36	32	across	across	ADP
esrj-119576	36	33	global	global	ADJ
esrj-119576	36	34	stations	station	NOUN
esrj-119576	36	35	,	,	PUNCT
esrj-119576	36	36	including	include	VERB
esrj-119576	36	37	11	11	NUM
esrj-119576	36	38	stations	station	NOUN
esrj-119576	36	39	in	in	ADP
esrj-119576	36	40	canada	canada	PROPN
esrj-119576	36	41	,	,	PUNCT
esrj-119576	36	42	while	while	SCONJ
esrj-119576	36	43	swift	swift	ADJ
esrj-119576	36	44	and	and	CCONJ
esrj-119576	36	45	schreuder	schreuder	NOUN
esrj-119576	36	46	(	(	PUNCT
esrj-119576	36	47	1981	1981	NUM
esrj-119576	36	48	)	)	PUNCT
esrj-119576	36	49	evaluated	evaluate	VERB
esrj-119576	36	50	several	several	ADJ
esrj-119576	36	51	distributions	distribution	NOUN
esrj-119576	36	52	such	such	ADJ
esrj-119576	36	53	as	as	ADP
esrj-119576	36	54	log	log	NOUN
esrj-119576	36	55	-	-	PUNCT
esrj-119576	36	56	normal	normal	ADJ
esrj-119576	36	57	,	,	PUNCT
esrj-119576	36	58	gamma	gamma	NOUN
esrj-119576	36	59	,	,	PUNCT
esrj-119576	36	60	weibull	weibull	PROPN
esrj-119576	36	61	,	,	PUNCT
esrj-119576	36	62	sb	sb	PROPN
esrj-119576	36	63	(	(	PUNCT
esrj-119576	36	64	special	special	ADJ
esrj-119576	36	65	bound	bind	VERB
esrj-119576	36	66	)	)	PUNCT
esrj-119576	36	67	,	,	PUNCT
esrj-119576	36	68	and	and	CCONJ
esrj-119576	36	69	beta	beta	NOUN
esrj-119576	36	70	on	on	ADP
esrj-119576	36	71	daily	daily	ADJ
esrj-119576	36	72	precipitation	precipitation	NOUN
esrj-119576	36	73	data	datum	NOUN
esrj-119576	36	74	,	,	PUNCT
esrj-119576	36	75	concluding	conclude	VERB
esrj-119576	36	76	that	that	SCONJ
esrj-119576	36	77	the	the	DET
esrj-119576	36	78	sb	sb	PROPN
esrj-119576	36	79	distribution	distribution	PROPN
esrj-119576	36	80	best	well	ADV
esrj-119576	36	81	fits	fit	VERB
esrj-119576	36	82	high	high	ADJ
esrj-119576	36	83	-	-	PUNCT
esrj-119576	36	84	precipitation	precipitation	NOUN
esrj-119576	36	85	areas	area	NOUN
esrj-119576	36	86	like	like	ADP
esrj-119576	36	87	the	the	DET
esrj-119576	36	88	southern	southern	ADJ
esrj-119576	36	89	appalachian	appalachian	PROPN
esrj-119576	36	90	mountains	mountains	PROPN
esrj-119576	36	91	.	.	PUNCT
esrj-119576	37	1	sarker	sarker	NOUN
esrj-119576	37	2	et	et	PROPN
esrj-119576	37	3	al	al	PROPN
esrj-119576	37	4	.	.	PROPN
esrj-119576	38	1	(	(	PUNCT
esrj-119576	38	2	1982	1982	NUM
esrj-119576	38	3	)	)	PUNCT
esrj-119576	38	4	used	use	VERB
esrj-119576	38	5	the	the	DET
esrj-119576	38	6	gamma	gamma	NOUN
esrj-119576	38	7	distribution	distribution	NOUN
esrj-119576	38	8	for	for	ADP
esrj-119576	38	9	precipitation	precipitation	NOUN
esrj-119576	38	10	in	in	ADP
esrj-119576	38	11	india	india	PROPN
esrj-119576	38	12	,	,	PUNCT
esrj-119576	38	13	phien	phien	PROPN
esrj-119576	38	14	and	and	CCONJ
esrj-119576	38	15	jivajirajah	jivajirajah	PROPN
esrj-119576	38	16	(	(	PUNCT
esrj-119576	38	17	1984	1984	NUM
esrj-119576	38	18	)	)	PUNCT
esrj-119576	38	19	applied	apply	VERB
esrj-119576	38	20	log	log	NOUN
esrj-119576	38	21	-	-	PUNCT
esrj-119576	38	22	pearson	pearson	NOUN
esrj-119576	38	23	iii	iii	PROPN
esrj-119576	38	24	for	for	ADP
esrj-119576	38	25	flood	flood	NOUN
esrj-119576	38	26	analysis	analysis	NOUN
esrj-119576	38	27	in	in	ADP
esrj-119576	38	28	thailand	thailand	PROPN
esrj-119576	38	29	,	,	PUNCT
esrj-119576	38	30	kottegoda	kottegoda	PROPN
esrj-119576	38	31	(	(	PUNCT
esrj-119576	38	32	1987	1987	NUM
esrj-119576	38	33	)	)	PUNCT
esrj-119576	39	1	demonstrated	demonstrate	VERB
esrj-119576	39	2	johnson	johnson	PROPN
esrj-119576	39	3	sb	sb	PROPN
esrj-119576	39	4	(	(	PUNCT
esrj-119576	39	5	special	special	ADJ
esrj-119576	39	6	bound	bind	VERB
esrj-119576	39	7	)	)	PUNCT
esrj-119576	39	8	for	for	ADP
esrj-119576	39	9	rainfall	rainfall	NOUN
esrj-119576	39	10	in	in	ADP
esrj-119576	39	11	various	various	ADJ
esrj-119576	39	12	station	station	NOUN
esrj-119576	39	13	of	of	ADP
esrj-119576	39	14	united	united	PROPN
esrj-119576	39	15	kingdom	kingdom	PROPN
esrj-119576	39	16	and	and	CCONJ
esrj-119576	39	17	south	south	PROPN
esrj-119576	39	18	africa	africa	PROPN
esrj-119576	39	19	,	,	PUNCT
esrj-119576	39	20	and	and	CCONJ
esrj-119576	39	21	koutrouvelis	koutrouvelis	PROPN
esrj-119576	39	22	and	and	CCONJ
esrj-119576	39	23	canavos	canavos	PROPN
esrj-119576	39	24	(	(	PUNCT
esrj-119576	39	25	1999	1999	NUM
esrj-119576	39	26	)	)	PUNCT
esrj-119576	39	27	studied	study	VERB
esrj-119576	39	28	pearson	pearson	PROPN
esrj-119576	39	29	iii	iii	PROPN
esrj-119576	39	30	for	for	ADP
esrj-119576	39	31	100year	100year	PROPN
esrj-119576	39	32	simulated	simulate	VERB
esrj-119576	39	33	floods	flood	NOUN
esrj-119576	39	34	data	datum	NOUN
esrj-119576	39	35	.	.	PUNCT
esrj-119576	40	1	griffis	griffis	PROPN
esrj-119576	40	2	and	and	CCONJ
esrj-119576	40	3	stedinger	stedinger	NOUN
esrj-119576	40	4	(	(	PUNCT
esrj-119576	40	5	2007	2007	NUM
esrj-119576	40	6	)	)	PUNCT
esrj-119576	40	7	studied	study	VERB
esrj-119576	40	8	log	log	NOUN
esrj-119576	40	9	-	-	PUNCT
esrj-119576	40	10	pearson	pearson	PROPN
esrj-119576	40	11	iii	iii	PROPN
esrj-119576	40	12	for	for	ADP
esrj-119576	40	13	u.s	u.s	PROPN
esrj-119576	40	14	.	.	PROPN
esrj-119576	40	15	floods	flood	NOUN
esrj-119576	40	16	,	,	PUNCT
esrj-119576	40	17	feng	feng	PROPN
esrj-119576	40	18	et	et	PROPN
esrj-119576	40	19	al	al	PROPN
esrj-119576	40	20	.	.	PROPN
esrj-119576	41	1	(	(	PUNCT
esrj-119576	41	2	2007	2007	NUM
esrj-119576	41	3	)	)	PUNCT
esrj-119576	41	4	modeled	model	VERB
esrj-119576	41	5	extreme	extreme	ADJ
esrj-119576	41	6	precipitation	precipitation	NOUN
esrj-119576	41	7	in	in	ADP
esrj-119576	41	8	china	china	PROPN
esrj-119576	41	9	using	use	VERB
esrj-119576	41	10	the	the	DET
esrj-119576	41	11	generalized	generalized	ADJ
esrj-119576	41	12	extreme	extreme	ADJ
esrj-119576	41	13	value	value	NOUN
esrj-119576	41	14	distribution	distribution	NOUN
esrj-119576	41	15	,	,	PUNCT
esrj-119576	41	16	and	and	CCONJ
esrj-119576	41	17	olofintoye	olofintoye	VERB
esrj-119576	41	18	et	et	NOUN
esrj-119576	41	19	al	al	PROPN
esrj-119576	41	20	.	.	PROPN
esrj-119576	42	1	(	(	PUNCT
esrj-119576	42	2	2009	2009	NUM
esrj-119576	42	3	)	)	PUNCT
esrj-119576	42	4	compared	compare	VERB
esrj-119576	42	5	several	several	ADJ
esrj-119576	42	6	distributions	distribution	NOUN
esrj-119576	42	7	,	,	PUNCT
esrj-119576	42	8	including	include	VERB
esrj-119576	42	9	gumbel	gumbel	PROPN
esrj-119576	42	10	and	and	CCONJ
esrj-119576	42	11	pearson	pearson	PROPN
esrj-119576	42	12	,	,	PUNCT
esrj-119576	42	13	for	for	ADP
esrj-119576	42	14	rainfall	rainfall	NOUN
esrj-119576	42	15	in	in	ADP
esrj-119576	42	16	20	20	NUM
esrj-119576	42	17	nigerian	nigerian	ADJ
esrj-119576	42	18	cities	city	NOUN
esrj-119576	42	19	.	.	PUNCT
esrj-119576	43	1	deka	deka	PROPN
esrj-119576	43	2	et	et	PROPN
esrj-119576	43	3	al	al	PROPN
esrj-119576	43	4	.	.	PROPN
esrj-119576	44	1	(	(	PUNCT
esrj-119576	44	2	2009	2009	NUM
esrj-119576	44	3	)	)	PUNCT
esrj-119576	44	4	analysed	analyse	VERB
esrj-119576	44	5	the	the	DET
esrj-119576	44	6	fitting	fitting	NOUN
esrj-119576	44	7	of	of	ADP
esrj-119576	44	8	five	five	NUM
esrj-119576	44	9	three	three	NUM
esrj-119576	44	10	-	-	PUNCT
esrj-119576	44	11	parameter	parameter	NOUN
esrj-119576	44	12	extreme	extreme	ADJ
esrj-119576	44	13	value	value	NOUN
esrj-119576	44	14	distributions	distribution	NOUN
esrj-119576	44	15	i.e.	i.e.	X
esrj-119576	44	16	generalized	generalized	ADJ
esrj-119576	44	17	extreme	extreme	ADJ
esrj-119576	44	18	value	value	NOUN
esrj-119576	44	19	,	,	PUNCT
esrj-119576	44	20	generalized	generalized	ADJ
esrj-119576	44	21	logistic	logistic	ADJ
esrj-119576	44	22	,	,	PUNCT
esrj-119576	44	23	generalized	generalized	ADJ
esrj-119576	44	24	pareto	pareto	NOUN
esrj-119576	44	25	,	,	PUNCT
esrj-119576	44	26	log	log	NOUN
esrj-119576	44	27	-	-	PUNCT
esrj-119576	44	28	normal	normal	ADJ
esrj-119576	44	29	,	,	PUNCT
esrj-119576	44	30	and	and	CCONJ
esrj-119576	44	31	pearson	pearson	PROPN
esrj-119576	44	32	iii	iii	PROPN
esrj-119576	44	33	using	use	VERB
esrj-119576	44	34	l	l	NOUN
esrj-119576	44	35	-	-	NOUN
esrj-119576	44	36	moments	moment	NOUN
esrj-119576	44	37	and	and	CCONJ
esrj-119576	44	38	lqmoments	lqmoment	NOUN
esrj-119576	44	39	for	for	ADP
esrj-119576	44	40	stations	station	NOUN
esrj-119576	44	41	in	in	ADP
esrj-119576	44	42	north	north	NOUN
esrj-119576	44	43	-	-	PUNCT
esrj-119576	44	44	east	east	NOUN
esrj-119576	44	45	india	india	PROPN
esrj-119576	44	46	maximum	maximum	PROPN
esrj-119576	44	47	daily	daily	PROPN
esrj-119576	44	48	rainfall	rainfall	NOUN
esrj-119576	44	49	data	datum	NOUN
esrj-119576	44	50	for	for	ADP
esrj-119576	44	51	the	the	DET
esrj-119576	44	52	period	period	NOUN
esrj-119576	44	53	1966	1966	NUM
esrj-119576	44	54	to	to	ADP
esrj-119576	44	55	2007	2007	NUM
esrj-119576	44	56	.	.	PUNCT
esrj-119576	45	1	millington	millington	PROPN
esrj-119576	45	2	et	et	PROPN
esrj-119576	45	3	al	al	PROPN
esrj-119576	45	4	.	.	PROPN
esrj-119576	45	5	(	(	PUNCT
esrj-119576	45	6	2011	2011	NUM
esrj-119576	45	7	)	)	PUNCT
esrj-119576	45	8	compared	compare	VERB
esrj-119576	45	9	gumbel	gumbel	PROPN
esrj-119576	45	10	,	,	PUNCT
esrj-119576	45	11	generalized	generalized	ADJ
esrj-119576	45	12	extreme	extreme	ADJ
esrj-119576	45	13	value	value	NOUN
esrj-119576	45	14	,	,	PUNCT
esrj-119576	45	15	and	and	CCONJ
esrj-119576	45	16	log	log	NOUN
esrj-119576	45	17	-	-	PUNCT
esrj-119576	45	18	pearson	pearson	NOUN
esrj-119576	45	19	iii	iii	PROPN
esrj-119576	45	20	distributions	distribution	NOUN
esrj-119576	45	21	for	for	ADP
esrj-119576	45	22	the	the	DET
esrj-119576	45	23	upper	upper	ADJ
esrj-119576	45	24	thames	thames	PROPN
esrj-119576	45	25	river	river	PROPN
esrj-119576	45	26	,	,	PUNCT
esrj-119576	45	27	mandal	mandal	PROPN
esrj-119576	45	28	and	and	CCONJ
esrj-119576	45	29	choudhury	choudhury	PROPN
esrj-119576	45	30	(	(	PUNCT
esrj-119576	45	31	2015	2015	NUM
esrj-119576	45	32	)	)	PUNCT
esrj-119576	45	33	identified	identify	VERB
esrj-119576	45	34	optimal	optimal	ADJ
esrj-119576	45	35	rainfall	rainfall	NOUN
esrj-119576	45	36	distributions	distribution	NOUN
esrj-119576	45	37	for	for	ADP
esrj-119576	45	38	sagar	sagar	PROPN
esrj-119576	45	39	island	island	PROPN
esrj-119576	45	40	,	,	PUNCT
esrj-119576	45	41	and	and	CCONJ
esrj-119576	45	42	amin	amin	PROPN
esrj-119576	45	43	et	et	PROPN
esrj-119576	45	44	al	al	PROPN
esrj-119576	45	45	.	.	PUNCT
esrj-119576	46	1	(	(	PUNCT
esrj-119576	46	2	2016	2016	NUM
esrj-119576	46	3	)	)	PUNCT
esrj-119576	46	4	assessed	assess	VERB
esrj-119576	46	5	normal	normal	ADJ
esrj-119576	46	6	,	,	PUNCT
esrj-119576	46	7	log	log	NOUN
esrj-119576	46	8	-	-	PUNCT
esrj-119576	46	9	normal	normal	ADJ
esrj-119576	46	10	,	,	PUNCT
esrj-119576	46	11	logpearson	logpearson	PROPN
esrj-119576	46	12	iii	iii	PROPN
esrj-119576	46	13	,	,	PUNCT
esrj-119576	46	14	and	and	CCONJ
esrj-119576	46	15	gumbel	gumbel	PROPN
esrj-119576	46	16	max	max	PROPN
esrj-119576	46	17	distributions	distribution	NOUN
esrj-119576	46	18	for	for	ADP
esrj-119576	46	19	northern	northern	ADJ
esrj-119576	46	20	pakistan	pakistan	PROPN
esrj-119576	46	21	.	.	PUNCT
esrj-119576	47	1	kumar	kumar	PROPN
esrj-119576	47	2	et	et	PROPN
esrj-119576	47	3	al	al	PROPN
esrj-119576	47	4	.	.	PROPN
esrj-119576	47	5	(	(	PUNCT
esrj-119576	47	6	2017	2017	NUM
esrj-119576	47	7	)	)	PUNCT
esrj-119576	47	8	tried	try	VERB
esrj-119576	47	9	to	to	PART
esrj-119576	47	10	fit	fit	VERB
esrj-119576	47	11	exponential	exponential	NOUN
esrj-119576	47	12	,	,	PUNCT
esrj-119576	47	13	gamma	gamma	NOUN
esrj-119576	47	14	,	,	PUNCT
esrj-119576	47	15	weibull	weibull	PROPN
esrj-119576	47	16	,	,	PUNCT
esrj-119576	47	17	log	log	NOUN
esrj-119576	47	18	-	-	PUNCT
esrj-119576	47	19	pearson	pearson	PROPN
esrj-119576	47	20	iii	iii	PROPN
esrj-119576	47	21	,	,	PUNCT
esrj-119576	47	22	and	and	CCONJ
esrj-119576	47	23	generalized	generalized	ADJ
esrj-119576	47	24	extreme	extreme	ADJ
esrj-119576	47	25	value	value	NOUN
esrj-119576	47	26	distributions	distribution	NOUN
esrj-119576	47	27	to	to	ADP
esrj-119576	47	28	rainfall	rainfall	NOUN
esrj-119576	47	29	data	datum	NOUN
esrj-119576	47	30	in	in	ADP
esrj-119576	47	31	uttarakhand	uttarakhand	PROPN
esrj-119576	47	32	,	,	PUNCT
esrj-119576	47	33	douka	douka	VERB
esrj-119576	47	34	and	and	CCONJ
esrj-119576	47	35	karacostas	karacosta	NOUN
esrj-119576	47	36	(	(	PUNCT
esrj-119576	47	37	2017	2017	NUM
esrj-119576	47	38	)	)	PUNCT
esrj-119576	47	39	evaluated	evaluate	VERB
esrj-119576	47	40	generalized	generalize	VERB
esrj-119576	47	41	pareto	pareto	NOUN
esrj-119576	47	42	,	,	PUNCT
esrj-119576	47	43	johnson	johnson	PROPN
esrj-119576	47	44	sb	sb	PROPN
esrj-119576	47	45	,	,	PUNCT
esrj-119576	47	46	log	log	NOUN
esrj-119576	47	47	-	-	PUNCT
esrj-119576	47	48	gamma	gamma	NOUN
esrj-119576	47	49	,	,	PUNCT
esrj-119576	47	50	and	and	CCONJ
esrj-119576	47	51	log	log	NOUN
esrj-119576	47	52	-	-	PUNCT
esrj-119576	47	53	normal	normal	ADJ
esrj-119576	47	54	distributions	distribution	NOUN
esrj-119576	47	55	for	for	ADP
esrj-119576	47	56	precipitation	precipitation	NOUN
esrj-119576	47	57	of	of	ADP
esrj-119576	47	58	thessaloniki	thessaloniki	PROPN
esrj-119576	47	59	.	.	PUNCT
esrj-119576	48	1	ghosh	ghosh	PROPN
esrj-119576	48	2	et	et	PROPN
esrj-119576	48	3	al	al	PROPN
esrj-119576	48	4	.	.	PROPN
esrj-119576	49	1	(	(	PUNCT
esrj-119576	49	2	2016	2016	NUM
esrj-119576	49	3	)	)	PUNCT
esrj-119576	49	4	assessed	assess	VERB
esrj-119576	49	5	monthly	monthly	ADJ
esrj-119576	49	6	rainfall	rainfall	NOUN
esrj-119576	49	7	in	in	ADP
esrj-119576	49	8	bangladesh	bangladesh	NOUN
esrj-119576	49	9	using	use	VERB
esrj-119576	49	10	normal	normal	ADJ
esrj-119576	49	11	,	,	PUNCT
esrj-119576	49	12	lognormal	lognormal	ADJ
esrj-119576	49	13	,	,	PUNCT
esrj-119576	49	14	gamma	gamma	NOUN
esrj-119576	49	15	,	,	PUNCT
esrj-119576	49	16	weibull	weibull	PROPN
esrj-119576	49	17	,	,	PUNCT
esrj-119576	49	18	inverse	inverse	NOUN
esrj-119576	49	19	gaussian	gaussian	NOUN
esrj-119576	49	20	,	,	PUNCT
esrj-119576	49	21	and	and	CCONJ
esrj-119576	49	22	generalized	generalized	ADJ
esrj-119576	49	23	extreme	extreme	ADJ
esrj-119576	49	24	value	value	NOUN
esrj-119576	49	25	distributions	distribution	NOUN
esrj-119576	49	26	.	.	PUNCT
esrj-119576	50	1	mamoon	mamoon	NOUN
esrj-119576	50	2	and	and	CCONJ
esrj-119576	50	3	rahman	rahman	PROPN
esrj-119576	50	4	(	(	PUNCT
esrj-119576	50	5	2017	2017	NUM
esrj-119576	50	6	)	)	PUNCT
esrj-119576	50	7	examined	examine	VERB
esrj-119576	50	8	rainfall	rainfall	NOUN
esrj-119576	50	9	frequency	frequency	NOUN
esrj-119576	50	10	in	in	ADP
esrj-119576	50	11	qatar	qatar	PROPN
esrj-119576	50	12	with	with	ADP
esrj-119576	50	13	fourteen	fourteen	NUM
esrj-119576	50	14	distributions	distribution	NOUN
esrj-119576	50	15	.	.	PUNCT
esrj-119576	51	1	bhavyashree	bhavyashree	NOUN
esrj-119576	51	2	and	and	CCONJ
esrj-119576	51	3	bhattacharyya	bhattacharyya	ADJ
esrj-119576	51	4	(	(	PUNCT
esrj-119576	51	5	2018	2018	NUM
esrj-119576	51	6	)	)	PUNCT
esrj-119576	51	7	analyzed	analyze	VERB
esrj-119576	51	8	monsoon	monsoon	NOUN
esrj-119576	51	9	rainfall	rainfall	NOUN
esrj-119576	51	10	across	across	ADP
esrj-119576	51	11	karnataka	karnataka	PROPN
esrj-119576	51	12	,	,	PUNCT
esrj-119576	51	13	while	while	SCONJ
esrj-119576	51	14	kurniawan	kurniawan	X
esrj-119576	51	15	(	(	PUNCT
esrj-119576	51	16	2019	2019	NUM
esrj-119576	51	17	)	)	PUNCT
esrj-119576	51	18	focused	focus	VERB
esrj-119576	51	19	on	on	ADP
esrj-119576	51	20	jakarta	jakarta	PROPN
esrj-119576	51	21	’s	’s	PART
esrj-119576	51	22	rainfall	rainfall	NOUN
esrj-119576	51	23	patterns	pattern	NOUN
esrj-119576	51	24	.	.	PUNCT
esrj-119576	52	1	shaharudin	shaharudin	VERB
esrj-119576	52	2	et	et	PROPN
esrj-119576	52	3	al	al	PROPN
esrj-119576	52	4	.	.	PROPN
esrj-119576	53	1	(	(	PUNCT
esrj-119576	53	2	2020	2020	NUM
esrj-119576	53	3	)	)	PUNCT
esrj-119576	53	4	investigated	investigate	VERB
esrj-119576	53	5	various	various	ADJ
esrj-119576	53	6	distributions	distribution	NOUN
esrj-119576	53	7	for	for	ADP
esrj-119576	53	8	rainfall	rainfall	NOUN
esrj-119576	53	9	simulation	simulation	NOUN
esrj-119576	53	10	,	,	PUNCT
esrj-119576	53	11	and	and	CCONJ
esrj-119576	53	12	moccia	moccia	PROPN
esrj-119576	53	13	et	et	PROPN
esrj-119576	53	14	al	al	PROPN
esrj-119576	53	15	.	.	PROPN
esrj-119576	54	1	(	(	PUNCT
esrj-119576	54	2	2021	2021	NUM
esrj-119576	54	3	)	)	PUNCT
esrj-119576	54	4	evaluated	evaluate	VERB
esrj-119576	54	5	daily	daily	ADJ
esrj-119576	54	6	rainfall	rainfall	NOUN
esrj-119576	54	7	extremes	extreme	NOUN
esrj-119576	54	8	in	in	ADP
esrj-119576	54	9	lazio	lazio	PROPN
esrj-119576	54	10	and	and	CCONJ
esrj-119576	54	11	sicily	sicily	ADV
esrj-119576	54	12	,	,	PUNCT
esrj-119576	54	13	italy	italy	PROPN
esrj-119576	54	14	,	,	PUNCT
esrj-119576	54	15	using	use	VERB
esrj-119576	54	16	weibull	weibull	NOUN
esrj-119576	54	17	,	,	PUNCT
esrj-119576	54	18	gumbel	gumbel	PROPN
esrj-119576	54	19	,	,	PUNCT
esrj-119576	54	20	frechet	frechet	NOUN
esrj-119576	54	21	,	,	PUNCT
esrj-119576	54	22	pareto	pareto	ADJ
esrj-119576	54	23	,	,	PUNCT
esrj-119576	54	24	gamma	gamma	NOUN
esrj-119576	54	25	,	,	PUNCT
esrj-119576	54	26	and	and	CCONJ
esrj-119576	54	27	lognormal	lognormal	ADJ
esrj-119576	54	28	distributions	distribution	NOUN
esrj-119576	54	29	.	.	PUNCT
esrj-119576	55	1	greece	greece	PROPN
esrj-119576	55	2	and	and	CCONJ
esrj-119576	55	3	ozonur	ozonur	NOUN
esrj-119576	55	4	et	et	PROPN
esrj-119576	55	5	al	al	PROPN
esrj-119576	55	6	.	.	PROPN
esrj-119576	56	1	(	(	PUNCT
esrj-119576	56	2	2021	2021	NUM
esrj-119576	56	3	)	)	PUNCT
esrj-119576	56	4	tested	test	VERB
esrj-119576	56	5	eight	eight	NUM
esrj-119576	56	6	distributions	distribution	NOUN
esrj-119576	56	7	,	,	PUNCT
esrj-119576	56	8	including	include	VERB
esrj-119576	56	9	weibull	weibull	PROPN
esrj-119576	56	10	,	,	PUNCT
esrj-119576	56	11	rayleigh	rayleigh	PROPN
esrj-119576	56	12	,	,	PUNCT
esrj-119576	56	13	gamma	gamma	PROPN
esrj-119576	56	14	,	,	PUNCT
esrj-119576	56	15	log	log	NOUN
esrj-119576	56	16	-	-	PUNCT
esrj-119576	56	17	normal	normal	ADJ
esrj-119576	56	18	,	,	PUNCT
esrj-119576	56	19	and	and	CCONJ
esrj-119576	56	20	gumbel	gumbel	PROPN
esrj-119576	56	21	,	,	PUNCT
esrj-119576	56	22	for	for	ADP
esrj-119576	56	23	modelling	model	VERB
esrj-119576	56	24	rainfall	rainfall	NOUN
esrj-119576	56	25	data	datum	NOUN
esrj-119576	56	26	in	in	ADP
esrj-119576	56	27	central	central	ADJ
esrj-119576	56	28	west	west	PROPN
esrj-119576	56	29	brazil	brazil	PROPN
esrj-119576	56	30	.	.	PUNCT
esrj-119576	57	1	mohamed	mohamed	PROPN
esrj-119576	57	2	and	and	CCONJ
esrj-119576	57	3	adam	adam	PROPN
esrj-119576	57	4	(	(	PUNCT
esrj-119576	57	5	2022	2022	NUM
esrj-119576	57	6	)	)	PUNCT
esrj-119576	57	7	identified	identify	VERB
esrj-119576	57	8	the	the	DET
esrj-119576	57	9	best	good	ADJ
esrj-119576	57	10	-	-	PUNCT
esrj-119576	57	11	fit	fit	ADJ
esrj-119576	57	12	distribution	distribution	NOUN
esrj-119576	57	13	for	for	ADP
esrj-119576	57	14	maximum	maximum	ADJ
esrj-119576	57	15	rainfall	rainfall	NOUN
esrj-119576	57	16	in	in	ADP
esrj-119576	57	17	somalia	somalia	PROPN
esrj-119576	57	18	,	,	PUNCT
esrj-119576	57	19	while	while	SCONJ
esrj-119576	57	20	chandran	chandran	PROPN
esrj-119576	57	21	et	et	PROPN
esrj-119576	57	22	al	al	PROPN
esrj-119576	57	23	.	.	PROPN
esrj-119576	58	1	(	(	PUNCT
esrj-119576	58	2	2023	2023	NUM
esrj-119576	58	3	)	)	PUNCT
esrj-119576	58	4	assessed	assess	VERB
esrj-119576	58	5	annual	annual	ADJ
esrj-119576	58	6	,	,	PUNCT
esrj-119576	58	7	monthly	monthly	ADJ
esrj-119576	58	8	,	,	PUNCT
esrj-119576	58	9	and	and	CCONJ
esrj-119576	58	10	seasonal	seasonal	ADJ
esrj-119576	58	11	rainfall	rainfall	NOUN
esrj-119576	58	12	in	in	ADP
esrj-119576	58	13	tamil	tamil	PROPN
esrj-119576	58	14	nadu	nadu	PROPN
esrj-119576	58	15	.	.	PUNCT
esrj-119576	59	1	karami	karami	PROPN
esrj-119576	59	2	et	et	PROPN
esrj-119576	59	3	al	al	PROPN
esrj-119576	59	4	.	.	PROPN
esrj-119576	60	1	(	(	PUNCT
esrj-119576	60	2	2023	2023	NUM
esrj-119576	60	3	)	)	PUNCT
esrj-119576	60	4	examined	examine	VERB
esrj-119576	60	5	distribution	distribution	NOUN
esrj-119576	60	6	models	model	NOUN
esrj-119576	60	7	for	for	ADP
esrj-119576	60	8	annual	annual	ADJ
esrj-119576	60	9	and	and	CCONJ
esrj-119576	60	10	24hour	24hour	NUM
esrj-119576	60	11	maximum	maximum	ADJ
esrj-119576	60	12	rainfall	rainfall	NOUN
esrj-119576	60	13	.	.	PUNCT
esrj-119576	61	1	abreu	abreu	PROPN
esrj-119576	61	2	et	et	PROPN
esrj-119576	61	3	al	al	PROPN
esrj-119576	61	4	.	.	PROPN
esrj-119576	61	5	(	(	PUNCT
esrj-119576	61	6	2023	2023	NUM
esrj-119576	61	7	)	)	PUNCT
esrj-119576	61	8	explored	explore	VERB
esrj-119576	61	9	criteria	criterion	NOUN
esrj-119576	61	10	for	for	ADP
esrj-119576	61	11	selecting	select	VERB
esrj-119576	61	12	suitable	suitable	ADJ
esrj-119576	61	13	distributions	distribution	NOUN
esrj-119576	61	14	in	in	ADP
esrj-119576	61	15	case	case	NOUN
esrj-119576	61	16	of	of	ADP
esrj-119576	61	17	rainfall	rainfall	NOUN
esrj-119576	61	18	data	datum	NOUN
esrj-119576	61	19	,	,	PUNCT
esrj-119576	61	20	and	and	CCONJ
esrj-119576	61	21	haseeb	haseeb	PROPN
esrj-119576	61	22	et	et	PROPN
esrj-119576	61	23	al	al	PROPN
esrj-119576	61	24	.	.	PROPN
esrj-119576	62	1	(	(	PUNCT
esrj-119576	62	2	2025	2025	NUM
esrj-119576	62	3	)	)	PUNCT
esrj-119576	62	4	compared	compare	VERB
esrj-119576	62	5	nine	nine	NUM
esrj-119576	62	6	distributions	distribution	NOUN
esrj-119576	62	7	to	to	PART
esrj-119576	62	8	determine	determine	VERB
esrj-119576	62	9	the	the	DET
esrj-119576	62	10	most	most	ADV
esrj-119576	62	11	appropriate	appropriate	ADJ
esrj-119576	62	12	fit	fit	NOUN
esrj-119576	62	13	for	for	ADP
esrj-119576	62	14	42	42	NUM
esrj-119576	62	15	years	year	NOUN
esrj-119576	62	16	of	of	ADP
esrj-119576	62	17	rainfall	rainfall	NOUN
esrj-119576	62	18	data	datum	NOUN
esrj-119576	62	19	in	in	ADP
esrj-119576	62	20	pakistan	pakistan	PROPN
esrj-119576	62	21	.	.	PUNCT
esrj-119576	63	1	rainfall	rainfall	NOUN
esrj-119576	63	2	varies	vary	VERB
esrj-119576	63	3	significantly	significantly	ADV
esrj-119576	63	4	across	across	ADP
esrj-119576	63	5	different	different	ADJ
esrj-119576	63	6	locations	location	NOUN
esrj-119576	63	7	and	and	CCONJ
esrj-119576	63	8	times	time	NOUN
esrj-119576	63	9	,	,	PUNCT
esrj-119576	63	10	making	make	VERB
esrj-119576	63	11	statistical	statistical	ADJ
esrj-119576	63	12	distributions	distribution	NOUN
esrj-119576	63	13	helpful	helpful	ADJ
esrj-119576	63	14	in	in	ADP
esrj-119576	63	15	understanding	understand	VERB
esrj-119576	63	16	its	its	PRON
esrj-119576	63	17	unpredictability	unpredictability	NOUN
esrj-119576	63	18	.	.	PUNCT
esrj-119576	64	1	examining	examine	VERB
esrj-119576	64	2	rainfall	rainfall	NOUN
esrj-119576	64	3	data	datum	NOUN
esrj-119576	64	4	with	with	ADP
esrj-119576	64	5	various	various	ADJ
esrj-119576	64	6	statistical	statistical	ADJ
esrj-119576	64	7	models	model	NOUN
esrj-119576	64	8	allows	allow	VERB
esrj-119576	64	9	researchers	researcher	NOUN
esrj-119576	64	10	to	to	PART
esrj-119576	64	11	assess	assess	VERB
esrj-119576	64	12	variability	variability	NOUN
esrj-119576	64	13	and	and	CCONJ
esrj-119576	64	14	identify	identify	VERB
esrj-119576	64	15	normal	normal	ADJ
esrj-119576	64	16	and	and	CCONJ
esrj-119576	64	17	extreme	extreme	ADJ
esrj-119576	64	18	patterns	pattern	NOUN
esrj-119576	64	19	.	.	PUNCT
esrj-119576	65	1	heavy	heavy	ADJ
esrj-119576	65	2	rainfall	rainfall	NOUN
esrj-119576	65	3	can	can	AUX
esrj-119576	65	4	lead	lead	VERB
esrj-119576	65	5	to	to	ADP
esrj-119576	65	6	flooding	flooding	NOUN
esrj-119576	65	7	,	,	PUNCT
esrj-119576	65	8	while	while	SCONJ
esrj-119576	65	9	insufficient	insufficient	ADJ
esrj-119576	65	10	rain	rain	NOUN
esrj-119576	65	11	may	may	AUX
esrj-119576	65	12	lead	lead	VERB
esrj-119576	65	13	to	to	ADP
esrj-119576	65	14	droughts	drought	NOUN
esrj-119576	65	15	.	.	PUNCT
esrj-119576	66	1	statistical	statistical	ADJ
esrj-119576	66	2	modelling	modelling	NOUN
esrj-119576	66	3	helps	helps	AUX
esrj-119576	66	4	estimate	estimate	VERB
esrj-119576	66	5	the	the	DET
esrj-119576	66	6	probability	probability	NOUN
esrj-119576	66	7	of	of	ADP
esrj-119576	66	8	these	these	DET
esrj-119576	66	9	extreme	extreme	ADJ
esrj-119576	66	10	events	event	NOUN
esrj-119576	66	11	,	,	PUNCT
esrj-119576	66	12	which	which	PRON
esrj-119576	66	13	is	be	AUX
esrj-119576	66	14	vital	vital	ADJ
esrj-119576	66	15	for	for	ADP
esrj-119576	66	16	designing	design	VERB
esrj-119576	66	17	flood	flood	NOUN
esrj-119576	66	18	barriers	barrier	NOUN
esrj-119576	66	19	,	,	PUNCT
esrj-119576	66	20	building	building	NOUN
esrj-119576	66	21	dams	dam	NOUN
esrj-119576	66	22	,	,	PUNCT
esrj-119576	66	23	and	and	CCONJ
esrj-119576	66	24	preparing	prepare	VERB
esrj-119576	66	25	for	for	ADP
esrj-119576	66	26	drought	drought	NOUN
esrj-119576	66	27	scenarios	scenario	NOUN
esrj-119576	66	28	.	.	PUNCT
esrj-119576	67	1	assam	assam	PROPN
esrj-119576	67	2	remains	remain	VERB
esrj-119576	67	3	highly	highly	ADV
esrj-119576	67	4	vulnerable	vulnerable	ADJ
esrj-119576	67	5	to	to	ADP
esrj-119576	67	6	floods	flood	NOUN
esrj-119576	67	7	and	and	CCONJ
esrj-119576	67	8	river	river	NOUN
esrj-119576	67	9	basin	basin	NOUN
esrj-119576	67	10	–	–	PUNCT
esrj-119576	67	11	related	relate	VERB
esrj-119576	67	12	disasters	disaster	NOUN
esrj-119576	67	13	,	,	PUNCT
esrj-119576	67	14	which	which	PRON
esrj-119576	67	15	exert	exert	VERB
esrj-119576	67	16	profound	profound	ADJ
esrj-119576	67	17	impacts	impact	NOUN
esrj-119576	67	18	on	on	ADP
esrj-119576	67	19	agriculture	agriculture	NOUN
esrj-119576	67	20	and	and	CCONJ
esrj-119576	67	21	livelihoods	livelihood	NOUN
esrj-119576	67	22	.	.	PUNCT
esrj-119576	68	1	understanding	understand	VERB
esrj-119576	68	2	rainfall	rainfall	NOUN
esrj-119576	68	3	patterns	pattern	NOUN
esrj-119576	68	4	is	be	AUX
esrj-119576	68	5	therefore	therefore	ADV
esrj-119576	68	6	critical	critical	ADJ
esrj-119576	68	7	,	,	PUNCT
esrj-119576	68	8	as	as	SCONJ
esrj-119576	68	9	it	it	PRON
esrj-119576	68	10	can	can	AUX
esrj-119576	68	11	generate	generate	VERB
esrj-119576	68	12	valuable	valuable	ADJ
esrj-119576	68	13	insights	insight	NOUN
esrj-119576	68	14	for	for	ADP
esrj-119576	68	15	flood	flood	NOUN
esrj-119576	68	16	preparedness	preparedness	NOUN
esrj-119576	68	17	,	,	PUNCT
esrj-119576	68	18	agricultural	agricultural	ADJ
esrj-119576	68	19	planning	planning	NOUN
esrj-119576	68	20	,	,	PUNCT
esrj-119576	68	21	and	and	CCONJ
esrj-119576	68	22	regional	regional	ADJ
esrj-119576	68	23	resilience	resilience	NOUN
esrj-119576	68	24	.	.	PUNCT
esrj-119576	69	1	however	however	ADV
esrj-119576	69	2	,	,	PUNCT
esrj-119576	69	3	a	a	DET
esrj-119576	69	4	comprehensive	comprehensive	ADJ
esrj-119576	69	5	distributional	distributional	ADJ
esrj-119576	69	6	analysis	analysis	NOUN
esrj-119576	69	7	of	of	ADP
esrj-119576	69	8	rainfall	rainfall	NOUN
esrj-119576	69	9	behaviour	behaviour	NOUN
esrj-119576	69	10	across	across	ADP
esrj-119576	69	11	assam	assam	PROPN
esrj-119576	69	12	for	for	ADP
esrj-119576	69	13	the	the	DET
esrj-119576	69	14	period	period	NOUN
esrj-119576	69	15	1985–2022	1985–2022	NUM
esrj-119576	69	16	has	have	AUX
esrj-119576	69	17	not	not	PART
esrj-119576	69	18	yet	yet	ADV
esrj-119576	69	19	been	be	AUX
esrj-119576	69	20	undertaken	undertake	VERB
esrj-119576	69	21	.	.	PUNCT
esrj-119576	70	1	this	this	DET
esrj-119576	70	2	study	study	NOUN
esrj-119576	70	3	addresses	address	VERB
esrj-119576	70	4	this	this	DET
esrj-119576	70	5	gap	gap	NOUN
esrj-119576	70	6	by	by	ADP
esrj-119576	70	7	examining	examine	VERB
esrj-119576	70	8	rainfall	rainfall	NOUN
esrj-119576	70	9	patterns	pattern	NOUN
esrj-119576	70	10	in	in	ADP
esrj-119576	70	11	the	the	DET
esrj-119576	70	12	region	region	NOUN
esrj-119576	70	13	,	,	PUNCT
esrj-119576	70	14	thereby	thereby	ADV
esrj-119576	70	15	contributing	contribute	VERB
esrj-119576	70	16	to	to	ADP
esrj-119576	70	17	improved	improve	VERB
esrj-119576	70	18	climate	climate	NOUN
esrj-119576	70	19	risk	risk	NOUN
esrj-119576	70	20	assessment	assessment	NOUN
esrj-119576	70	21	and	and	CCONJ
esrj-119576	70	22	resource	resource	NOUN
esrj-119576	70	23	management	management	NOUN
esrj-119576	70	24	.	.	PUNCT
esrj-119576	71	1	this	this	DET
esrj-119576	71	2	study	study	NOUN
esrj-119576	71	3	aims	aim	VERB
esrj-119576	71	4	to	to	PART
esrj-119576	71	5	enhance	enhance	VERB
esrj-119576	71	6	the	the	DET
esrj-119576	71	7	understanding	understanding	NOUN
esrj-119576	71	8	of	of	ADP
esrj-119576	71	9	rainfall	rainfall	NOUN
esrj-119576	71	10	variability	variability	NOUN
esrj-119576	71	11	in	in	ADP
esrj-119576	71	12	specific	specific	ADJ
esrj-119576	71	13	areas	area	NOUN
esrj-119576	71	14	of	of	ADP
esrj-119576	71	15	assam	assam	PROPN
esrj-119576	71	16	,	,	PUNCT
esrj-119576	71	17	india	india	PROPN
esrj-119576	71	18	.	.	PUNCT
esrj-119576	72	1	the	the	DET
esrj-119576	72	2	available	available	ADJ
esrj-119576	72	3	climatological	climatological	ADJ
esrj-119576	72	4	data	datum	NOUN
esrj-119576	72	5	will	will	AUX
esrj-119576	72	6	be	be	AUX
esrj-119576	72	7	analyzed	analyze	VERB
esrj-119576	72	8	to	to	PART
esrj-119576	72	9	identify	identify	VERB
esrj-119576	72	10	the	the	DET
esrj-119576	72	11	most	most	ADV
esrj-119576	72	12	suitable	suitable	ADJ
esrj-119576	72	13	probability	probability	NOUN
esrj-119576	72	14	distribution	distribution	NOUN
esrj-119576	72	15	for	for	ADP
esrj-119576	72	16	rainfall	rainfall	NOUN
esrj-119576	72	17	in	in	ADP
esrj-119576	72	18	this	this	DET
esrj-119576	72	19	region	region	NOUN
esrj-119576	72	20	.	.	PUNCT
esrj-119576	73	1	in	in	ADP
esrj-119576	73	2	this	this	DET
esrj-119576	73	3	study	study	NOUN
esrj-119576	73	4	,	,	PUNCT
esrj-119576	73	5	ten	ten	NUM
esrj-119576	73	6	different	different	ADJ
esrj-119576	73	7	distributions	distribution	NOUN
esrj-119576	73	8	have	have	AUX
esrj-119576	73	9	been	be	AUX
esrj-119576	73	10	taken	take	VERB
esrj-119576	73	11	into	into	ADP
esrj-119576	73	12	account	account	NOUN
esrj-119576	73	13	to	to	PART
esrj-119576	73	14	fit	fit	VERB
esrj-119576	73	15	the	the	DET
esrj-119576	73	16	rainfall	rainfall	NOUN
esrj-119576	73	17	data	datum	NOUN
esrj-119576	73	18	.	.	PUNCT
esrj-119576	74	1	to	to	PART
esrj-119576	74	2	estimate	estimate	VERB
esrj-119576	74	3	the	the	DET
esrj-119576	74	4	parameters	parameter	NOUN
esrj-119576	74	5	of	of	ADP
esrj-119576	74	6	the	the	DET
esrj-119576	74	7	chosen	choose	VERB
esrj-119576	74	8	distributions	distribution	NOUN
esrj-119576	74	9	,	,	PUNCT
esrj-119576	74	10	the	the	DET
esrj-119576	74	11	maximum	maximum	ADJ
esrj-119576	74	12	likelihood	likelihood	NOUN
esrj-119576	74	13	method	method	NOUN
esrj-119576	74	14	has	have	AUX
esrj-119576	74	15	been	be	AUX
esrj-119576	74	16	considered	consider	VERB
esrj-119576	74	17	.	.	PUNCT
esrj-119576	75	1	before	before	ADP
esrj-119576	75	2	statistical	statistical	ADJ
esrj-119576	75	3	analysis	analysis	NOUN
esrj-119576	75	4	,	,	PUNCT
esrj-119576	75	5	the	the	DET
esrj-119576	75	6	kolmogorov	kolmogorov	ADJ
esrj-119576	75	7	-	-	PUNCT
esrj-119576	75	8	smirnov	smirnov	NOUN
esrj-119576	75	9	(	(	PUNCT
esrj-119576	75	10	k	k	NOUN
esrj-119576	75	11	-	-	PUNCT
esrj-119576	75	12	s	s	NOUN
esrj-119576	75	13	)	)	PUNCT
esrj-119576	75	14	test	test	NOUN
esrj-119576	75	15	has	have	AUX
esrj-119576	75	16	been	be	AUX
esrj-119576	75	17	considered	consider	VERB
esrj-119576	75	18	to	to	PART
esrj-119576	75	19	assess	assess	VERB
esrj-119576	75	20	the	the	DET
esrj-119576	75	21	adequacy	adequacy	NOUN
esrj-119576	75	22	of	of	ADP
esrj-119576	75	23	these	these	DET
esrj-119576	75	24	distributions	distribution	NOUN
esrj-119576	75	25	to	to	ADP
esrj-119576	75	26	the	the	DET
esrj-119576	75	27	data	datum	NOUN
esrj-119576	75	28	based	base	VERB
esrj-119576	75	29	on	on	ADP
esrj-119576	75	30	the	the	DET
esrj-119576	75	31	k	k	PROPN
esrj-119576	75	32	-	-	PUNCT
esrj-119576	75	33	s	s	PART
esrj-119576	75	34	distance	distance	NOUN
esrj-119576	75	35	and	and	CCONJ
esrj-119576	75	36	the	the	DET
esrj-119576	75	37	associated	associated	ADJ
esrj-119576	75	38	p	p	NOUN
esrj-119576	75	39	-	-	PUNCT
esrj-119576	75	40	value	value	NOUN
esrj-119576	75	41	.	.	PUNCT
esrj-119576	76	1	2	2	NUM
esrj-119576	76	2	materials	material	NOUN
esrj-119576	76	3	and	and	CCONJ
esrj-119576	76	4	methods	method	NOUN
esrj-119576	76	5	2.1	2.1	NUM
esrj-119576	76	6	characterization	characterization	NOUN
esrj-119576	76	7	and	and	CCONJ
esrj-119576	76	8	location	location	NOUN
esrj-119576	76	9	of	of	ADP
esrj-119576	76	10	the	the	DET
esrj-119576	76	11	study	study	NOUN
esrj-119576	76	12	area	area	NOUN
esrj-119576	76	13	the	the	DET
esrj-119576	76	14	north	north	PROPN
esrj-119576	76	15	east	east	PROPN
esrj-119576	76	16	region	region	NOUN
esrj-119576	76	17	of	of	ADP
esrj-119576	76	18	india	india	PROPN
esrj-119576	76	19	,	,	PUNCT
esrj-119576	76	20	which	which	PRON
esrj-119576	76	21	includes	include	VERB
esrj-119576	76	22	assam	assam	PROPN
esrj-119576	76	23	is	be	AUX
esrj-119576	76	24	expected	expect	VERB
esrj-119576	76	25	to	to	PART
esrj-119576	76	26	be	be	AUX
esrj-119576	76	27	extremely	extremely	ADV
esrj-119576	76	28	vulnerable	vulnerable	ADJ
esrj-119576	76	29	to	to	ADP
esrj-119576	76	30	the	the	DET
esrj-119576	76	31	effects	effect	NOUN
esrj-119576	76	32	of	of	ADP
esrj-119576	76	33	climate	climate	NOUN
esrj-119576	76	34	change	change	NOUN
esrj-119576	76	35	because	because	SCONJ
esrj-119576	76	36	of	of	ADP
esrj-119576	76	37	its	its	PRON
esrj-119576	76	38	delicate	delicate	ADJ
esrj-119576	76	39	geo	geo	PROPN
esrj-119576	76	40	-	-	PUNCT
esrj-119576	76	41	ecological	ecological	ADJ
esrj-119576	76	42	configuration	configuration	NOUN
esrj-119576	76	43	,	,	PUNCT
esrj-119576	76	44	strategic	strategic	ADJ
esrj-119576	76	45	location	location	NOUN
esrj-119576	76	46	near	near	ADP
esrj-119576	76	47	an	an	DET
esrj-119576	76	48	international	international	ADJ
esrj-119576	76	49	border	border	NOUN
esrj-119576	76	50	,	,	PUNCT
esrj-119576	76	51	the	the	DET
esrj-119576	76	52	presence	presence	NOUN
esrj-119576	76	53	of	of	ADP
esrj-119576	76	54	the	the	DET
esrj-119576	76	55	eastern	eastern	ADJ
esrj-119576	76	56	himalayan	himalayan	ADJ
esrj-119576	76	57	ranges	range	NOUN
esrj-119576	76	58	,	,	PUNCT
esrj-119576	76	59	transboundary	transboundary	ADJ
esrj-119576	76	60	river	river	NOUN
esrj-119576	76	61	systems	system	NOUN
esrj-119576	76	62	,	,	PUNCT
esrj-119576	76	63	the	the	DET
esrj-119576	76	64	inhabitation	inhabitation	NOUN
esrj-119576	76	65	of	of	ADP
esrj-119576	76	66	the	the	DET
esrj-119576	76	67	ecosystem	ecosystem	NOUN
esrj-119576	76	68	by	by	ADP
esrj-119576	76	69	people	people	NOUN
esrj-119576	76	70	from	from	ADP
esrj-119576	76	71	various	various	ADJ
esrj-119576	76	72	ethnic	ethnic	ADJ
esrj-119576	76	73	groups	group	NOUN
esrj-119576	76	74	,	,	PUNCT
esrj-119576	76	75	and	and	CCONJ
esrj-119576	76	76	inherent	inherent	ADJ
esrj-119576	76	77	socioeconomic	socioeconomic	ADJ
esrj-119576	76	78	disparities	disparity	NOUN
esrj-119576	76	79	(	(	PUNCT
esrj-119576	76	80	astec	astec	ADJ
esrj-119576	76	81	,	,	PUNCT
esrj-119576	76	82	2011	2011	NUM
esrj-119576	76	83	)	)	PUNCT
esrj-119576	76	84	.	.	PUNCT
esrj-119576	77	1	depending	depend	VERB
esrj-119576	77	2	on	on	ADP
esrj-119576	77	3	its	its	PRON
esrj-119576	77	4	geographical	geographical	ADJ
esrj-119576	77	5	location	location	NOUN
esrj-119576	77	6	,	,	PUNCT
esrj-119576	77	7	the	the	DET
esrj-119576	77	8	whole	whole	ADJ
esrj-119576	77	9	assam	assam	PROPN
esrj-119576	77	10	is	be	AUX
esrj-119576	77	11	divided	divide	VERB
esrj-119576	77	12	into	into	ADP
esrj-119576	77	13	various	various	ADJ
esrj-119576	77	14	zones	zone	NOUN
esrj-119576	77	15	.	.	PUNCT
esrj-119576	78	1	namely	namely	ADV
esrj-119576	78	2	,	,	PUNCT
esrj-119576	78	3	lower	lower	PROPN
esrj-119576	78	4	brahmaputra	brahmaputra	PROPN
esrj-119576	78	5	valley	valley	PROPN
esrj-119576	78	6	zone	zone	NOUN
esrj-119576	78	7	,	,	PUNCT
esrj-119576	78	8	upper	upper	PROPN
esrj-119576	78	9	brahmaputra	brahmaputra	PROPN
esrj-119576	78	10	valley	valley	PROPN
esrj-119576	78	11	zone	zone	NOUN
esrj-119576	78	12	,	,	PUNCT
esrj-119576	78	13	north	north	PROPN
esrj-119576	78	14	bank	bank	PROPN
esrj-119576	78	15	plain	plain	ADJ
esrj-119576	78	16	zone	zone	NOUN
esrj-119576	78	17	,	,	PUNCT
esrj-119576	78	18	hills	hill	NOUN
esrj-119576	78	19	zone	zone	NOUN
esrj-119576	78	20	and	and	CCONJ
esrj-119576	78	21	barak	barak	PROPN
esrj-119576	78	22	valley	valley	PROPN
esrj-119576	78	23	zone	zone	NOUN
esrj-119576	78	24	.	.	PUNCT
esrj-119576	79	1	five	five	NUM
esrj-119576	79	2	stations	station	NOUN
esrj-119576	79	3	have	have	AUX
esrj-119576	79	4	been	be	AUX
esrj-119576	79	5	selected	select	VERB
esrj-119576	79	6	from	from	ADP
esrj-119576	79	7	the	the	DET
esrj-119576	79	8	five	five	NUM
esrj-119576	79	9	zones	zone	NOUN
esrj-119576	79	10	except	except	SCONJ
esrj-119576	79	11	hills	hill	NOUN
esrj-119576	79	12	zone	zone	NOUN
esrj-119576	79	13	on	on	ADP
esrj-119576	79	14	the	the	DET
esrj-119576	79	15	basis	basis	NOUN
esrj-119576	79	16	of	of	ADP
esrj-119576	79	17	available	available	ADJ
esrj-119576	79	18	data	datum	NOUN
esrj-119576	79	19	provided	provide	VERB
esrj-119576	79	20	by	by	ADP
esrj-119576	79	21	meteorological	meteorological	ADJ
esrj-119576	79	22	department	department	NOUN
esrj-119576	79	23	for	for	ADP
esrj-119576	79	24	the	the	DET
esrj-119576	79	25	period	period	NOUN
esrj-119576	79	26	of	of	ADP
esrj-119576	79	27	19852022	19852022	NUM
esrj-119576	79	28	.	.	PUNCT
esrj-119576	80	1	the	the	DET
esrj-119576	80	2	name	name	NOUN
esrj-119576	80	3	of	of	ADP
esrj-119576	80	4	the	the	DET
esrj-119576	80	5	stations	station	NOUN
esrj-119576	80	6	are	be	AUX
esrj-119576	80	7	given	give	VERB
esrj-119576	80	8	below	below	ADP
esrj-119576	80	9	.	.	PUNCT
esrj-119576	81	1	table	table	NOUN
esrj-119576	81	2	1	1	NUM
esrj-119576	81	3	represents	represent	VERB
esrj-119576	81	4	the	the	DET
esrj-119576	81	5	names	name	NOUN
esrj-119576	81	6	of	of	ADP
esrj-119576	81	7	rainfall	rainfall	NOUN
esrj-119576	81	8	monitoring	monitor	VERB
esrj-119576	81	9	stations	station	NOUN
esrj-119576	81	10	across	across	ADP
esrj-119576	81	11	various	various	ADJ
esrj-119576	81	12	zones	zone	NOUN
esrj-119576	81	13	of	of	ADP
esrj-119576	81	14	assam	assam	PROPN
esrj-119576	81	15	,	,	PUNCT
esrj-119576	81	16	where	where	SCONJ
esrj-119576	81	17	the	the	DET
esrj-119576	81	18	best	good	ADJ
esrj-119576	81	19	probability	probability	NOUN
esrj-119576	81	20	distribution	distribution	NOUN
esrj-119576	81	21	function	function	NOUN
esrj-119576	81	22	will	will	AUX
esrj-119576	81	23	be	be	AUX
esrj-119576	81	24	determined	determine	VERB
esrj-119576	81	25	from	from	ADP
esrj-119576	81	26	a	a	DET
esrj-119576	81	27	selection	selection	NOUN
esrj-119576	81	28	of	of	ADP
esrj-119576	81	29	ten	ten	NUM
esrj-119576	81	30	probability	probability	NOUN
esrj-119576	81	31	distributions	distribution	NOUN
esrj-119576	81	32	.	.	PUNCT
esrj-119576	82	1	the	the	DET
esrj-119576	82	2	geological	geological	ADJ
esrj-119576	82	3	location	location	NOUN
esrj-119576	82	4	of	of	ADP
esrj-119576	82	5	the	the	DET
esrj-119576	82	6	above	above	ADJ
esrj-119576	82	7	stations	station	NOUN
esrj-119576	82	8	are	be	AUX
esrj-119576	82	9	represented	represent	VERB
esrj-119576	82	10	below	below	ADP
esrj-119576	82	11	table	table	NOUN
esrj-119576	82	12	1	1	NUM
esrj-119576	82	13	.	.	PUNCT
esrj-119576	83	1	name	name	NOUN
esrj-119576	83	2	of	of	ADP
esrj-119576	83	3	stations	station	NOUN
esrj-119576	83	4	in	in	ADP
esrj-119576	83	5	respective	respective	ADJ
esrj-119576	83	6	zones	zone	NOUN
esrj-119576	83	7	name	name	NOUN
esrj-119576	83	8	of	of	ADP
esrj-119576	83	9	zones	zone	NOUN
esrj-119576	83	10	name	name	NOUN
esrj-119576	83	11	of	of	ADP
esrj-119576	83	12	stations	station	NOUN
esrj-119576	83	13	lower	lower	VERB
esrj-119576	83	14	brahmaputra	brahmaputra	PROPN
esrj-119576	83	15	valley	valley	NOUN
esrj-119576	83	16	zone	zone	PROPN
esrj-119576	83	17	guwahati	guwahati	PROPN
esrj-119576	83	18	,	,	PUNCT
esrj-119576	83	19	dhubri	dhubri	PROPN
esrj-119576	83	20	north	north	PROPN
esrj-119576	83	21	bank	bank	PROPN
esrj-119576	83	22	plain	plain	PROPN
esrj-119576	83	23	zone	zone	NOUN
esrj-119576	83	24	tezpur	tezpur	PROPN
esrj-119576	83	25	upper	upper	PROPN
esrj-119576	83	26	brahmaputra	brahmaputra	PROPN
esrj-119576	83	27	valley	valley	PROPN
esrj-119576	83	28	zone	zone	PROPN
esrj-119576	83	29	dibrugarh	dibrugarh	PROPN
esrj-119576	83	30	barak	barak	PROPN
esrj-119576	83	31	valley	valley	PROPN
esrj-119576	83	32	zone	zone	PROPN
esrj-119576	83	33	silchar	silchar	PROPN
esrj-119576	83	34	365fitting	365fitting	PROPN
esrj-119576	83	35	of	of	ADP
esrj-119576	83	36	statistical	statistical	ADJ
esrj-119576	83	37	distribution	distribution	NOUN
esrj-119576	83	38	in	in	ADP
esrj-119576	83	39	assessing	assess	VERB
esrj-119576	83	40	rainfall	rainfall	NOUN
esrj-119576	83	41	patterns	pattern	NOUN
esrj-119576	83	42	across	across	ADP
esrj-119576	83	43	various	various	ADJ
esrj-119576	83	44	zones	zone	NOUN
esrj-119576	83	45	of	of	ADP
esrj-119576	83	46	assam	assam	PROPN
esrj-119576	83	47	,	,	PUNCT
esrj-119576	83	48	india	india	PROPN
esrj-119576	83	49	figure	figure	NOUN
esrj-119576	83	50	1	1	NUM
esrj-119576	83	51	.	.	PUNCT
esrj-119576	83	52	study	study	NOUN
esrj-119576	83	53	area	area	NOUN
esrj-119576	83	54	in	in	ADP
esrj-119576	83	55	assam	assam	PROPN
esrj-119576	83	56	figure	figure	NOUN
esrj-119576	83	57	1	1	NUM
esrj-119576	83	58	aims	aim	VERB
esrj-119576	83	59	to	to	PART
esrj-119576	83	60	represent	represent	VERB
esrj-119576	83	61	the	the	DET
esrj-119576	83	62	inferred	infer	VERB
esrj-119576	83	63	geological	geological	ADJ
esrj-119576	83	64	direction	direction	NOUN
esrj-119576	83	65	of	of	ADP
esrj-119576	83	66	all	all	DET
esrj-119576	83	67	selected	select	VERB
esrj-119576	83	68	stations	station	NOUN
esrj-119576	83	69	spanning	span	VERB
esrj-119576	83	70	diverse	diverse	ADJ
esrj-119576	83	71	zones	zone	NOUN
esrj-119576	83	72	of	of	ADP
esrj-119576	83	73	assam	assam	PROPN
esrj-119576	83	74	created	create	VERB
esrj-119576	83	75	using	use	VERB
esrj-119576	83	76	qgis	qgis	PROPN
esrj-119576	83	77	3.32.0	3.32.0	NUM
esrj-119576	83	78	software	software	NOUN
esrj-119576	83	79	.	.	PUNCT
esrj-119576	84	1	assam	assam	PROPN
esrj-119576	84	2	’s	’s	PART
esrj-119576	84	3	climate	climate	NOUN
esrj-119576	84	4	is	be	AUX
esrj-119576	84	5	mostly	mostly	ADV
esrj-119576	84	6	humid	humid	ADJ
esrj-119576	84	7	subtropical	subtropical	ADJ
esrj-119576	84	8	,	,	PUNCT
esrj-119576	84	9	with	with	ADP
esrj-119576	84	10	warm	warm	ADJ
esrj-119576	84	11	,	,	PUNCT
esrj-119576	84	12	muggy	muggy	NOUN
esrj-119576	84	13	summers	summer	NOUN
esrj-119576	84	14	,	,	PUNCT
esrj-119576	84	15	intense	intense	ADJ
esrj-119576	84	16	monsoons	monsoon	NOUN
esrj-119576	84	17	,	,	PUNCT
esrj-119576	84	18	and	and	CCONJ
esrj-119576	84	19	moderate	moderate	ADJ
esrj-119576	84	20	winters	winter	NOUN
esrj-119576	84	21	.	.	PUNCT
esrj-119576	85	1	the	the	DET
esrj-119576	85	2	range	range	NOUN
esrj-119576	85	3	of	of	ADP
esrj-119576	85	4	winter	winter	NOUN
esrj-119576	85	5	temperatures	temperature	NOUN
esrj-119576	85	6	is	be	AUX
esrj-119576	85	7	100	100	NUM
esrj-119576	85	8	to	to	PART
esrj-119576	85	9	220	220	NUM
esrj-119576	85	10	degrees	degree	NOUN
esrj-119576	85	11	celsius	celsius	NOUN
esrj-119576	85	12	.	.	PUNCT
esrj-119576	86	1	the	the	DET
esrj-119576	86	2	summertime	summertime	NOUN
esrj-119576	86	3	temperature	temperature	NOUN
esrj-119576	86	4	ranges	range	VERB
esrj-119576	86	5	from	from	ADP
esrj-119576	86	6	300	300	NUM
esrj-119576	86	7	to	to	PART
esrj-119576	86	8	360	360	NUM
esrj-119576	86	9	degrees	degree	NOUN
esrj-119576	86	10	celsius	celsius	NOUN
esrj-119576	86	11	.	.	PUNCT
esrj-119576	87	1	the	the	DET
esrj-119576	87	2	months	month	NOUN
esrj-119576	87	3	of	of	ADP
esrj-119576	87	4	july	july	PROPN
esrj-119576	87	5	and	and	CCONJ
esrj-119576	87	6	august	august	PROPN
esrj-119576	87	7	receive	receive	VERB
esrj-119576	87	8	the	the	DET
esrj-119576	87	9	most	most	ADJ
esrj-119576	87	10	rainfall	rainfall	NOUN
esrj-119576	87	11	in	in	ADP
esrj-119576	87	12	assam	assam	PROPN
esrj-119576	87	13	(	(	PUNCT
esrj-119576	87	14	29	29	NUM
esrj-119576	87	15	percent	percent	NOUN
esrj-119576	87	16	of	of	ADP
esrj-119576	87	17	the	the	DET
esrj-119576	87	18	total	total	ADJ
esrj-119576	87	19	rainfall	rainfall	NOUN
esrj-119576	87	20	during	during	ADP
esrj-119576	87	21	the	the	DET
esrj-119576	87	22	south	south	PROPN
esrj-119576	87	23	west	west	PROPN
esrj-119576	87	24	monsoon	monsoon	PROPN
esrj-119576	87	25	)	)	PUNCT
esrj-119576	87	26	,	,	PUNCT
esrj-119576	87	27	while	while	SCONJ
esrj-119576	87	28	september	september	PROPN
esrj-119576	87	29	receives	receive	VERB
esrj-119576	87	30	24	24	NUM
esrj-119576	87	31	percent	percent	NOUN
esrj-119576	87	32	of	of	ADP
esrj-119576	87	33	the	the	DET
esrj-119576	87	34	total	total	ADJ
esrj-119576	87	35	rainfall	rainfall	NOUN
esrj-119576	87	36	.	.	PUNCT
esrj-119576	88	1	the	the	DET
esrj-119576	88	2	remaining	remain	VERB
esrj-119576	88	3	66	66	NUM
esrj-119576	88	4	%	%	NOUN
esrj-119576	88	5	of	of	ADP
esrj-119576	88	6	the	the	DET
esrj-119576	88	7	yearly	yearly	ADJ
esrj-119576	88	8	rainfall	rainfall	NOUN
esrj-119576	88	9	falls	fall	VERB
esrj-119576	88	10	during	during	ADP
esrj-119576	88	11	the	the	DET
esrj-119576	88	12	southwest	southwest	ADJ
esrj-119576	88	13	monsoon	monsoon	NOUN
esrj-119576	88	14	(	(	PUNCT
esrj-119576	88	15	june	june	PROPN
esrj-119576	88	16	–	–	PUNCT
esrj-119576	88	17	september	september	PROPN
esrj-119576	88	18	)	)	PUNCT
esrj-119576	88	19	.	.	PUNCT
esrj-119576	89	1	the	the	DET
esrj-119576	89	2	state	state	PROPN
esrj-119576	89	3	assam	assam	PROPN
esrj-119576	89	4	lies	lie	VERB
esrj-119576	89	5	between	between	ADP
esrj-119576	89	6	89046/	89046/	NUM
esrj-119576	89	7	96001	96001	NUM
esrj-119576	89	8	/	/	SYM
esrj-119576	89	9	e	e	NOUN
esrj-119576	89	10	longitude	longitude	NOUN
esrj-119576	89	11	and	and	CCONJ
esrj-119576	89	12	24003/27058/	24003/27058/	PROPN
esrj-119576	89	13	n	n	PRON
esrj-119576	89	14	latitude	latitude	NOUN
esrj-119576	89	15	and	and	CCONJ
esrj-119576	89	16	covers	cover	VERB
esrj-119576	89	17	an	an	DET
esrj-119576	89	18	area	area	NOUN
esrj-119576	89	19	of	of	ADP
esrj-119576	89	20	78,438	78,438	NUM
esrj-119576	89	21	km²	km²	NOUN
esrj-119576	89	22	(	(	PUNCT
esrj-119576	89	23	guhathakurta	guhathakurta	PROPN
esrj-119576	89	24	et	et	PROPN
esrj-119576	89	25	al	al	PROPN
esrj-119576	89	26	.	.	PROPN
esrj-119576	89	27	,	,	PUNCT
esrj-119576	89	28	2020)the	2020)the	DET
esrj-119576	89	29	longitude	longitude	NOUN
esrj-119576	89	30	and	and	CCONJ
esrj-119576	89	31	latitude	latitude	NOUN
esrj-119576	89	32	of	of	ADP
esrj-119576	89	33	remain	remain	ADJ
esrj-119576	89	34	stations	station	NOUN
esrj-119576	89	35	are	be	AUX
esrj-119576	89	36	given	give	VERB
esrj-119576	89	37	below	below	ADP
esrj-119576	89	38	table	table	NOUN
esrj-119576	89	39	2	2	NUM
esrj-119576	89	40	represents	represent	VERB
esrj-119576	89	41	all	all	DET
esrj-119576	89	42	the	the	DET
esrj-119576	89	43	longitudes	longitude	NOUN
esrj-119576	89	44	and	and	CCONJ
esrj-119576	89	45	latitudes	latitude	NOUN
esrj-119576	89	46	of	of	ADP
esrj-119576	89	47	selected	select	VERB
esrj-119576	89	48	stations	station	NOUN
esrj-119576	89	49	for	for	ADP
esrj-119576	89	50	this	this	DET
esrj-119576	89	51	study	study	NOUN
esrj-119576	89	52	.	.	PUNCT
esrj-119576	90	1	table	table	NOUN
esrj-119576	90	2	2	2	NUM
esrj-119576	90	3	.	.	NOUN
esrj-119576	90	4	longitude	longitude	NOUN
esrj-119576	90	5	and	and	CCONJ
esrj-119576	90	6	latitude	latitude	NOUN
esrj-119576	90	7	of	of	ADP
esrj-119576	90	8	selected	select	VERB
esrj-119576	90	9	stations	station	NOUN
esrj-119576	90	10	from	from	ADP
esrj-119576	90	11	various	various	ADJ
esrj-119576	90	12	zones	zone	NOUN
esrj-119576	90	13	of	of	ADP
esrj-119576	90	14	assam	assam	PROPN
esrj-119576	90	15	name	name	NOUN
esrj-119576	90	16	of	of	ADP
esrj-119576	90	17	stations	station	NOUN
esrj-119576	90	18	longitude	longitude	VERB
esrj-119576	90	19	latitude	latitude	NOUN
esrj-119576	90	20	guwahati	guwahati	PROPN
esrj-119576	90	21	91	91	NUM
esrj-119576	90	22	°	°	ADP
esrj-119576	91	1	44′	44′	NUM
esrj-119576	91	2	45″	45″	ADJ
esrj-119576	91	3	e	e	NOUN
esrj-119576	91	4	26	26	NUM
esrj-119576	91	5	°	°	NOUN
esrj-119576	91	6	10′	10′	PROPN
esrj-119576	91	7	20″	20″	NUM
esrj-119576	91	8	n	n	CCONJ
esrj-119576	91	9	dhubri	dhubri	NOUN
esrj-119576	91	10	~89	~89	X
esrj-119576	91	11	°	°	X
esrj-119576	91	12	58′	58′	NUM
esrj-119576	91	13	44″	44″	NUM
esrj-119576	92	1	e	e	NOUN
esrj-119576	92	2	~26	~26	ADJ
esrj-119576	92	3	°	°	PRON
esrj-119576	92	4	1′	1′	NUM
esrj-119576	92	5	20″	20″	NUM
esrj-119576	92	6	n	n	DET
esrj-119576	92	7	tezpur	tezpur	NOUN
esrj-119576	92	8	92	92	NUM
esrj-119576	92	9	°	°	NOUN
esrj-119576	92	10	47′	47′	NUM
esrj-119576	93	1	59″	59″	NUM
esrj-119576	93	2	e	e	ADP
esrj-119576	93	3	26	26	NUM
esrj-119576	93	4	°	°	NOUN
esrj-119576	93	5	37′	37′	NUM
esrj-119576	93	6	59″	59″	NUM
esrj-119576	93	7	n	n	PRON
esrj-119576	93	8	dibrugarh	dibrugarh	VERB
esrj-119576	93	9	~94	~94	NOUN
esrj-119576	93	10	°	°	NUM
esrj-119576	93	11	54′	54′	NUM
esrj-119576	93	12	43″	43″	NUM
esrj-119576	93	13	e	e	NOUN
esrj-119576	93	14	~27	~27	NOUN
esrj-119576	93	15	°	°	NOUN
esrj-119576	94	1	28′	28′	NUM
esrj-119576	94	2	22″	22″	NUM
esrj-119576	94	3	n	n	PRON
esrj-119576	94	4	silchar	silchar	NOUN
esrj-119576	94	5	~92	~92	NOUN
esrj-119576	94	6	°	°	NOUN
esrj-119576	94	7	47′	47′	NUM
esrj-119576	95	1	52″	52″	NUM
esrj-119576	95	2	e	e	X
esrj-119576	95	3	~24	~24	NOUN
esrj-119576	95	4	°	°	PRON
esrj-119576	95	5	49′	49′	NUM
esrj-119576	95	6	38″	38″	NUM
esrj-119576	95	7	n	n	PRON
esrj-119576	95	8	2.2	2.2	NUM
esrj-119576	95	9	data	datum	NOUN
esrj-119576	95	10	the	the	DET
esrj-119576	95	11	data	data	NOUN
esrj-119576	95	12	is	be	AUX
esrj-119576	95	13	collected	collect	VERB
esrj-119576	95	14	from	from	ADP
esrj-119576	95	15	national	national	ADJ
esrj-119576	95	16	data	datum	NOUN
esrj-119576	95	17	centre	centre	NOUN
esrj-119576	95	18	(	(	PUNCT
esrj-119576	95	19	ndc	ndc	NOUN
esrj-119576	95	20	)	)	PUNCT
esrj-119576	95	21	,	,	PUNCT
esrj-119576	95	22	india	india	PROPN
esrj-119576	95	23	meteorological	meteorological	PROPN
esrj-119576	95	24	department	department	PROPN
esrj-119576	95	25	(	(	PUNCT
esrj-119576	95	26	imd	imd	PROPN
esrj-119576	95	27	)	)	PUNCT
esrj-119576	95	28	,	,	PUNCT
esrj-119576	95	29	pune	pune	NOUN
esrj-119576	95	30	(	(	PUNCT
esrj-119576	95	31	http://dsp.imdpune.gov.in/	http://dsp.imdpune.gov.in/	NOUN
esrj-119576	95	32	)	)	PUNCT
esrj-119576	95	33	for	for	ADP
esrj-119576	95	34	the	the	DET
esrj-119576	95	35	period	period	NOUN
esrj-119576	95	36	of	of	ADP
esrj-119576	95	37	1985	1985	NUM
esrj-119576	95	38	-	-	SYM
esrj-119576	95	39	2022	2022	NUM
esrj-119576	95	40	.	.	PUNCT
esrj-119576	96	1	for	for	ADP
esrj-119576	96	2	the	the	DET
esrj-119576	96	3	analysis	analysis	NOUN
esrj-119576	96	4	,	,	PUNCT
esrj-119576	96	5	data	datum	NOUN
esrj-119576	96	6	is	be	AUX
esrj-119576	96	7	arranged	arrange	VERB
esrj-119576	96	8	monthly	monthly	ADJ
esrj-119576	96	9	and	and	CCONJ
esrj-119576	96	10	also	also	ADV
esrj-119576	96	11	season	season	NOUN
esrj-119576	96	12	wise	wise	ADJ
esrj-119576	96	13	,	,	PUNCT
esrj-119576	96	14	namely	namely	ADV
esrj-119576	96	15	winter	winter	NOUN
esrj-119576	96	16	(	(	PUNCT
esrj-119576	96	17	january	january	PROPN
esrj-119576	96	18	,	,	PUNCT
esrj-119576	96	19	february	february	PROPN
esrj-119576	96	20	)	)	PUNCT
esrj-119576	96	21	,	,	PUNCT
esrj-119576	96	22	pre	pre	ADJ
esrj-119576	96	23	-	-	NOUN
esrj-119576	96	24	monsoon	monsoon	ADJ
esrj-119576	96	25	(	(	PUNCT
esrj-119576	96	26	march	march	PROPN
esrj-119576	96	27	,	,	PUNCT
esrj-119576	96	28	april	april	PROPN
esrj-119576	96	29	,	,	PUNCT
esrj-119576	96	30	may	may	PROPN
esrj-119576	96	31	)	)	PUNCT
esrj-119576	96	32	,	,	PUNCT
esrj-119576	96	33	monsoon	monsoon	NOUN
esrj-119576	96	34	(	(	PUNCT
esrj-119576	96	35	june	june	PROPN
esrj-119576	96	36	,	,	PUNCT
esrj-119576	96	37	july	july	PROPN
esrj-119576	96	38	,	,	PUNCT
esrj-119576	96	39	august	august	PROPN
esrj-119576	96	40	,	,	PUNCT
esrj-119576	96	41	september	september	PROPN
esrj-119576	96	42	)	)	PUNCT
esrj-119576	96	43	and	and	CCONJ
esrj-119576	96	44	post	post	ADJ
esrj-119576	96	45	-	-	ADJ
esrj-119576	96	46	monsoon	monsoon	ADJ
esrj-119576	96	47	(	(	PUNCT
esrj-119576	96	48	october	october	PROPN
esrj-119576	96	49	,	,	PUNCT
esrj-119576	96	50	november	november	PROPN
esrj-119576	96	51	and	and	CCONJ
esrj-119576	96	52	december	december	PROPN
esrj-119576	96	53	)	)	PUNCT
esrj-119576	96	54	.	.	PUNCT
esrj-119576	97	1	2.3	2.3	NUM
esrj-119576	97	2	probability	probability	NOUN
esrj-119576	97	3	distribution	distribution	NOUN
esrj-119576	97	4	in	in	ADP
esrj-119576	97	5	this	this	DET
esrj-119576	97	6	experiment	experiment	NOUN
esrj-119576	97	7	,	,	PUNCT
esrj-119576	97	8	ten	ten	NUM
esrj-119576	97	9	different	different	ADJ
esrj-119576	97	10	probability	probability	NOUN
esrj-119576	97	11	distributions	distribution	NOUN
esrj-119576	97	12	are	be	AUX
esrj-119576	97	13	considered	consider	VERB
esrj-119576	97	14	to	to	PART
esrj-119576	97	15	study	study	VERB
esrj-119576	97	16	the	the	DET
esrj-119576	97	17	monthly	monthly	ADJ
esrj-119576	97	18	rainfall	rainfall	NOUN
esrj-119576	97	19	data	datum	NOUN
esrj-119576	97	20	in	in	ADP
esrj-119576	97	21	five	five	NUM
esrj-119576	97	22	stations	station	NOUN
esrj-119576	97	23	of	of	ADP
esrj-119576	97	24	various	various	ADJ
esrj-119576	97	25	agro	agro	ADJ
esrj-119576	97	26	-	-	PUNCT
esrj-119576	97	27	climatic	climatic	ADJ
esrj-119576	97	28	zones	zone	NOUN
esrj-119576	97	29	of	of	ADP
esrj-119576	97	30	assam	assam	PROPN
esrj-119576	97	31	.	.	PUNCT
esrj-119576	98	1	gumbel	gumbel	PROPN
esrj-119576	98	2	distribution	distribution	NOUN
esrj-119576	98	3	(	(	PUNCT
esrj-119576	98	4	two	two	NUM
esrj-119576	98	5	-	-	PUNCT
esrj-119576	98	6	parameter	parameter	NOUN
esrj-119576	98	7	)	)	PUNCT
esrj-119576	98	8	(	(	PUNCT
esrj-119576	98	9	gumbel	gumbel	PROPN
esrj-119576	98	10	,	,	PUNCT
esrj-119576	98	11	1941	1941	NUM
esrj-119576	98	12	)	)	PUNCT
esrj-119576	98	13	,	,	PUNCT
esrj-119576	98	14	weibull	weibull	NOUN
esrj-119576	98	15	distribution	distribution	NOUN
esrj-119576	98	16	(	(	PUNCT
esrj-119576	98	17	two	two	NUM
esrj-119576	98	18	-	-	PUNCT
esrj-119576	98	19	parameter	parameter	NOUN
esrj-119576	98	20	)	)	PUNCT
esrj-119576	98	21	(	(	PUNCT
esrj-119576	98	22	weibull	weibull	NOUN
esrj-119576	98	23	,	,	PUNCT
esrj-119576	98	24	1939	1939	NUM
esrj-119576	98	25	)	)	PUNCT
esrj-119576	98	26	,	,	PUNCT
esrj-119576	98	27	gamma	gamma	NOUN
esrj-119576	98	28	distribution	distribution	NOUN
esrj-119576	98	29	(	(	PUNCT
esrj-119576	98	30	twoparameter	twoparameter	NOUN
esrj-119576	98	31	)	)	PUNCT
esrj-119576	98	32	(	(	PUNCT
esrj-119576	98	33	bobee	bobee	PROPN
esrj-119576	98	34	&	&	CCONJ
esrj-119576	98	35	ashkar	ashkar	PROPN
esrj-119576	98	36	,	,	PUNCT
esrj-119576	98	37	1991	1991	NUM
esrj-119576	98	38	)	)	PUNCT
esrj-119576	98	39	,	,	PUNCT
esrj-119576	98	40	logistic	logistic	ADJ
esrj-119576	98	41	distribution	distribution	NOUN
esrj-119576	98	42	(	(	PUNCT
esrj-119576	98	43	two	two	NUM
esrj-119576	98	44	-	-	PUNCT
esrj-119576	98	45	parameter	parameter	NOUN
esrj-119576	98	46	)	)	PUNCT
esrj-119576	98	47	(	(	PUNCT
esrj-119576	98	48	jhonson	jhonson	PROPN
esrj-119576	98	49	et	et	PROPN
esrj-119576	98	50	al	al	PROPN
esrj-119576	98	51	.	.	PROPN
esrj-119576	98	52	,	,	PUNCT
esrj-119576	98	53	1995	1995	NUM
esrj-119576	98	54	)	)	PUNCT
esrj-119576	98	55	,	,	PUNCT
esrj-119576	98	56	exponential	exponential	ADJ
esrj-119576	98	57	distribution	distribution	NOUN
esrj-119576	98	58	(	(	PUNCT
esrj-119576	98	59	one	one	NUM
esrj-119576	98	60	-	-	PUNCT
esrj-119576	98	61	parameter	parameter	NOUN
esrj-119576	98	62	)	)	PUNCT
esrj-119576	98	63	(	(	PUNCT
esrj-119576	98	64	ferguson	ferguson	PROPN
esrj-119576	98	65	,	,	PUNCT
esrj-119576	98	66	1964	1964	NUM
esrj-119576	98	67	)	)	PUNCT
esrj-119576	98	68	,	,	PUNCT
esrj-119576	98	69	log	log	NOUN
esrj-119576	98	70	-	-	PUNCT
esrj-119576	98	71	normal	normal	ADJ
esrj-119576	98	72	distribution	distribution	NOUN
esrj-119576	98	73	(	(	PUNCT
esrj-119576	98	74	two	two	NUM
esrj-119576	98	75	-	-	PUNCT
esrj-119576	98	76	parameter	parameter	NOUN
esrj-119576	98	77	)	)	PUNCT
esrj-119576	98	78	(	(	PUNCT
esrj-119576	98	79	gaddum,1945	gaddum,1945	ADJ
esrj-119576	98	80	)	)	PUNCT
esrj-119576	98	81	,	,	PUNCT
esrj-119576	98	82	pearson-0	pearson-0	NUM
esrj-119576	98	83	distribution	distribution	NOUN
esrj-119576	98	84	(	(	PUNCT
esrj-119576	98	85	two	two	NUM
esrj-119576	98	86	-	-	PUNCT
esrj-119576	98	87	parameter	parameter	NOUN
esrj-119576	98	88	)	)	PUNCT
esrj-119576	98	89	,	,	PUNCT
esrj-119576	98	90	pearson	pearson	PROPN
esrj-119576	98	91	-	-	PUNCT
esrj-119576	98	92	i	i	PRON
esrj-119576	98	93	distribution	distribution	NOUN
esrj-119576	98	94	(	(	PUNCT
esrj-119576	98	95	four	four	NUM
esrj-119576	98	96	-	-	PUNCT
esrj-119576	98	97	parameter	parameter	NOUN
esrj-119576	98	98	)	)	PUNCT
esrj-119576	98	99	,	,	PUNCT
esrj-119576	98	100	pearsoniii	pearsoniii	NOUN
esrj-119576	98	101	distribution	distribution	NOUN
esrj-119576	98	102	(	(	PUNCT
esrj-119576	98	103	three	three	NUM
esrj-119576	98	104	-	-	PUNCT
esrj-119576	98	105	parameter	parameter	NOUN
esrj-119576	98	106	)	)	PUNCT
esrj-119576	98	107	and	and	CCONJ
esrj-119576	98	108	pearson	pearson	PROPN
esrj-119576	98	109	-	-	PUNCT
esrj-119576	98	110	v	v	NOUN
esrj-119576	98	111	distribution	distribution	NOUN
esrj-119576	98	112	(	(	PUNCT
esrj-119576	98	113	three	three	NUM
esrj-119576	98	114	-	-	PUNCT
esrj-119576	98	115	parameter	parameter	NOUN
esrj-119576	98	116	)	)	PUNCT
esrj-119576	98	117	(	(	PUNCT
esrj-119576	98	118	pearson	pearson	PROPN
esrj-119576	98	119	,	,	PUNCT
esrj-119576	98	120	1895	1895	NUM
esrj-119576	98	121	)	)	PUNCT
esrj-119576	98	122	have	have	AUX
esrj-119576	98	123	been	be	AUX
esrj-119576	98	124	considered	consider	VERB
esrj-119576	98	125	in	in	ADP
esrj-119576	98	126	the	the	DET
esrj-119576	98	127	study	study	NOUN
esrj-119576	98	128	.	.	PUNCT
esrj-119576	99	1	suppose	suppose	VERB
esrj-119576	99	2	x	x	PRON
esrj-119576	99	3	is	be	AUX
esrj-119576	99	4	a	a	DET
esrj-119576	99	5	random	random	ADJ
esrj-119576	99	6	variable	variable	NOUN
esrj-119576	99	7	with	with	ADP
esrj-119576	99	8	shape	shape	NOUN
esrj-119576	99	9	parameter	parameter	NOUN
esrj-119576	99	10	α	α	PROPN
esrj-119576	99	11	,	,	PUNCT
esrj-119576	99	12	a	a	DET
esrj-119576	99	13	,	,	PUNCT
esrj-119576	99	14	b	b	NOUN
esrj-119576	99	15	,	,	PUNCT
esrj-119576	99	16	scale	scale	NOUN
esrj-119576	99	17	parameter	parameter	NOUN
esrj-119576	99	18	β	β	NOUN
esrj-119576	99	19	and	and	CCONJ
esrj-119576	100	1	location	location	NOUN
esrj-119576	100	2	parameter	parameter	PROPN
esrj-119576	100	3	μ	μ	PROPN
esrj-119576	100	4	then	then	ADV
esrj-119576	100	5	the	the	DET
esrj-119576	100	6	probability	probability	NOUN
esrj-119576	100	7	density	density	NOUN
esrj-119576	100	8	function	function	NOUN
esrj-119576	100	9	(	(	PUNCT
esrj-119576	100	10	pdf	pdf	NOUN
esrj-119576	100	11	)	)	PUNCT
esrj-119576	100	12	and	and	CCONJ
esrj-119576	100	13	their	their	PRON
esrj-119576	100	14	corresponding	corresponding	ADJ
esrj-119576	100	15	cumulative	cumulative	ADJ
esrj-119576	100	16	distribution	distribution	NOUN
esrj-119576	100	17	function	function	NOUN
esrj-119576	100	18	(	(	PUNCT
esrj-119576	100	19	cdf	cdf	PROPN
esrj-119576	100	20	)	)	PUNCT
esrj-119576	100	21	are	be	AUX
esrj-119576	100	22	depicted	depict	VERB
esrj-119576	100	23	in	in	ADP
esrj-119576	100	24	table	table	NOUN
esrj-119576	100	25	3	3	NUM
esrj-119576	100	26	.	.	PUNCT
esrj-119576	101	1	http://dsp.imdpune.gov.in/	http://dsp.imdpune.gov.in/	PROPN
esrj-119576	101	2	366	366	NUM
esrj-119576	101	3	tanusree	tanusree	PROPN
esrj-119576	101	4	deb	deb	PROPN
esrj-119576	101	5	roy	roy	PROPN
esrj-119576	101	6	,	,	PUNCT
esrj-119576	101	7	dipanjali	dipanjali	PROPN
esrj-119576	101	8	ray	ray	PROPN
esrj-119576	101	9	,	,	PUNCT
esrj-119576	101	10	subhankar	subhankar	PROPN
esrj-119576	101	11	dutta	dutta	PROPN
esrj-119576	101	12	,	,	PUNCT
esrj-119576	101	13	and	and	CCONJ
esrj-119576	101	14	sebul	sebul	PROPN
esrj-119576	101	15	islam	islam	PROPN
esrj-119576	101	16	laskar	laskar	PROPN
esrj-119576	101	17	table	table	VERB
esrj-119576	101	18	3	3	NUM
esrj-119576	101	19	.	.	X
esrj-119576	101	20	name	name	NOUN
esrj-119576	101	21	of	of	ADP
esrj-119576	101	22	distributions	distribution	NOUN
esrj-119576	101	23	with	with	ADP
esrj-119576	101	24	its	its	PRON
esrj-119576	101	25	pdf	pdf	NOUN
esrj-119576	101	26	,	,	PUNCT
esrj-119576	101	27	cdf	cdf	NOUN
esrj-119576	101	28	,	,	PUNCT
esrj-119576	101	29	domain	domain	NOUN
esrj-119576	101	30	and	and	CCONJ
esrj-119576	101	31	parameters	parameter	NOUN
esrj-119576	101	32	distributions	distribution	NOUN
esrj-119576	101	33	pdf	pdf	NOUN
esrj-119576	101	34	cdf	cdf	NOUN
esrj-119576	101	35	domain	domain	NOUN
esrj-119576	101	36	parameter	parameter	NOUN
esrj-119576	101	37	exponential	exponential	PROPN
esrj-119576	101	38	αe	αe	PROPN
esrj-119576	101	39	-	-	PUNCT
esrj-119576	101	40	αx	αx	NOUN
esrj-119576	101	41	1	1	NUM
esrj-119576	101	42	αe	αe	NOUN
esrj-119576	101	43	-	-	PUNCT
esrj-119576	101	44	αx	αx	NOUN
esrj-119576	101	45	x	x	NOUN
esrj-119576	101	46	∈(0,∞	∈(0,∞	NOUN
esrj-119576	101	47	)	)	PUNCT
esrj-119576	101	48	α	α	NOUN
esrj-119576	101	49	>	>	X
esrj-119576	101	50	0	0	PUNCT
esrj-119576	102	1	gumbel	gumbel	NOUN
esrj-119576	102	2	1	1	NUM
esrj-119576	102	3	x	x	SYM
esrj-119576	102	4	∈	∈	PROPN
esrj-119576	102	5	ℝ	ℝ	PROPN
esrj-119576	102	6	μ	μ	PROPN
esrj-119576	102	7	>	>	X
esrj-119576	102	8	0	0	PROPN
esrj-119576	102	9	,	,	PUNCT
esrj-119576	102	10	β	β	X
esrj-119576	102	11	>	>	X
esrj-119576	102	12	0	0	NUM
esrj-119576	103	1	weibull	weibull	PROPN
esrj-119576	103	2	1	1	NUM
esrj-119576	103	3	x∈(0,∞	x∈(0,∞	PROPN
esrj-119576	103	4	)	)	PUNCT
esrj-119576	104	1	α	α	X
esrj-119576	104	2	>	>	X
esrj-119576	104	3	0	0	PROPN
esrj-119576	104	4	,	,	PUNCT
esrj-119576	104	5	β	β	X
esrj-119576	104	6	>	>	X
esrj-119576	104	7	0	0	NUM
esrj-119576	104	8	gamma	gamma	PROPN
esrj-119576	104	9	1	1	NUM
esrj-119576	104	10	,	,	PUNCT
esrj-119576	104	11	x	x	SYM
esrj-119576	104	12	∈	∈	NOUN
esrj-119576	104	13	(	(	PUNCT
esrj-119576	104	14	0,∞	0,∞	NOUN
esrj-119576	104	15	)	)	PUNCT
esrj-119576	105	1	α	α	PROPN
esrj-119576	105	2	>	>	X
esrj-119576	105	3	0	0	PROPN
esrj-119576	105	4	,	,	PUNCT
esrj-119576	105	5	β	β	X
esrj-119576	105	6	>	>	X
esrj-119576	105	7	0	0	PUNCT
esrj-119576	106	1	logistic	logistic	ADJ
esrj-119576	106	2	1	1	NUM
esrj-119576	106	3	+	+	CCONJ
esrj-119576	106	4	1	1	NUM
esrj-119576	106	5	1	1	NUM
esrj-119576	106	6	+	+	NUM
esrj-119576	106	7	x∈(-∞,∞	x∈(-∞,∞	NOUN
esrj-119576	106	8	)	)	PUNCT
esrj-119576	106	9	μ	μ	PROPN
esrj-119576	106	10	>	>	X
esrj-119576	106	11	0	0	PROPN
esrj-119576	106	12	,	,	PUNCT
esrj-119576	106	13	β	β	X
esrj-119576	106	14	>	>	X
esrj-119576	106	15	0	0	NUM
esrj-119576	106	16	log	log	NOUN
esrj-119576	106	17	-	-	PUNCT
esrj-119576	106	18	normal	normal	ADJ
esrj-119576	106	19	1	1	NUM
esrj-119576	106	20	2	2	NUM
esrj-119576	106	21	(	(	PUNCT
esrj-119576	106	22	)	)	PUNCT
esrj-119576	106	23	1	1	NUM
esrj-119576	106	24	2	2	NUM
esrj-119576	106	25	+	+	CCONJ
esrj-119576	106	26	1	1	NUM
esrj-119576	106	27	2	2	NUM
esrj-119576	106	28	2	2	NUM
esrj-119576	106	29	where	where	SCONJ
esrj-119576	106	30	erf	erf	NOUN
esrj-119576	106	31	is	be	AUX
esrj-119576	106	32	the	the	DET
esrj-119576	106	33	error	error	NOUN
esrj-119576	106	34	function	function	NOUN
esrj-119576	106	35	x∈(0,∞	x∈(0,∞	PROPN
esrj-119576	106	36	)	)	PUNCT
esrj-119576	106	37	μ∈	μ∈	NOUN
esrj-119576	106	38	(	(	PUNCT
esrj-119576	106	39	-∞,∞	-∞,∞	PROPN
esrj-119576	106	40	)	)	PUNCT
esrj-119576	106	41	,	,	PUNCT
esrj-119576	106	42	σ	σ	PROPN
esrj-119576	106	43	>	>	SYM
esrj-119576	106	44	0	0	NUM
esrj-119576	106	45	pearson	pearson	NOUN
esrj-119576	106	46	0	0	NUM
esrj-119576	106	47	1	1	NUM
esrj-119576	106	48	2	2	NUM
esrj-119576	106	49	(	(	PUNCT
esrj-119576	106	50	)	)	PUNCT
esrj-119576	106	51	1	1	NUM
esrj-119576	106	52	2	2	NUM
esrj-119576	106	53	(	(	PUNCT
esrj-119576	106	54	)	)	PUNCT
esrj-119576	106	55	x∈(-∞,∞	x∈(-∞,∞	NOUN
esrj-119576	106	56	)	)	PUNCT
esrj-119576	107	1	μ	μ	PROPN
esrj-119576	107	2	>	>	X
esrj-119576	107	3	0	0	PROPN
esrj-119576	107	4	,	,	PUNCT
esrj-119576	107	5	σ	σ	X
esrj-119576	107	6	>	>	X
esrj-119576	107	7	0	0	NUM
esrj-119576	107	8	pearson	pearson	NOUN
esrj-119576	108	1	i	i	PRON
esrj-119576	108	2	1	1	NUM
esrj-119576	109	1	|	|	ADV
esrj-119576	109	2	|	|	INTJ
esrj-119576	109	3	(	(	PUNCT
esrj-119576	109	4	+	+	CCONJ
esrj-119576	109	5	)	)	PUNCT
esrj-119576	109	6	1	1	NUM
esrj-119576	110	1	|	|	ADV
esrj-119576	110	2	|	|	ADV
esrj-119576	110	3	(	(	PUNCT
esrj-119576	110	4	+	+	CCONJ
esrj-119576	110	5	)	)	PUNCT
esrj-119576	110	6	1	1	NUM
esrj-119576	110	7	x	x	SYM
esrj-119576	110	8	∈	∈	PROPN
esrj-119576	110	9	[	[	X
esrj-119576	110	10	a	a	X
esrj-119576	110	11	,	,	PUNCT
esrj-119576	110	12	b	b	NOUN
esrj-119576	110	13	]	]	X
esrj-119576	110	14	where	where	SCONJ
esrj-119576	110	15	a	a	PRON
esrj-119576	110	16	&	&	CCONJ
esrj-119576	110	17	b	b	NOUN
esrj-119576	110	18	are	be	AUX
esrj-119576	110	19	any	any	DET
esrj-119576	110	20	real	real	ADJ
esrj-119576	110	21	number	number	NOUN
esrj-119576	110	22	a	a	PRON
esrj-119576	110	23	>	>	X
esrj-119576	110	24	0	0	NUM
esrj-119576	110	25	,	,	PUNCT
esrj-119576	110	26	b	b	X
esrj-119576	110	27	>	>	X
esrj-119576	110	28	0	0	PUNCT
esrj-119576	110	29	β≠0	β≠0	NOUN
esrj-119576	110	30	,	,	PUNCT
esrj-119576	110	31	0	0	PUNCT
esrj-119576	110	32	<	<	X
esrj-119576	110	33	<	<	X
esrj-119576	110	34	1	1	NUM
esrj-119576	110	35	pearson	pearson	PROPN
esrj-119576	110	36	iii	iii	PROPN
esrj-119576	110	37	(	(	PUNCT
esrj-119576	110	38	)	)	PUNCT
esrj-119576	110	39	1	1	NUM
esrj-119576	110	40	(	(	PUNCT
esrj-119576	110	41	)	)	PUNCT
esrj-119576	111	1	𝑥	𝑥	PRON
esrj-119576	111	2	∈	∈	PROPN
esrj-119576	112	1	[	[	X
esrj-119576	112	2	𝜇,∞	𝜇,∞	X
esrj-119576	112	3	]	]	X
esrj-119576	112	4	𝑎	𝑎	X
esrj-119576	112	5	>	>	X
esrj-119576	112	6	0	0	NUM
esrj-119576	112	7	,	,	PUNCT
esrj-119576	112	8	𝛽	𝛽	NOUN
esrj-119576	112	9	>	>	X
esrj-119576	112	10	0	0	PUNCT
esrj-119576	112	11	>	>	SYM
esrj-119576	112	12	0	0	NUM
esrj-119576	113	1	pearson	pearson	PROPN
esrj-119576	113	2	v	v	ADP
esrj-119576	113	3	|	|	ADV
esrj-119576	114	1	|	|	INTJ
esrj-119576	115	1	|	|	INTJ
esrj-119576	116	1	|	|	INTJ
esrj-119576	117	1	|	|	INTJ
esrj-119576	118	1	|	|	INTJ
esrj-119576	119	1	|	|	ADV
esrj-119576	119	2	|	|	ADV
esrj-119576	119	3	𝑥	𝑥	X
esrj-119576	119	4	∈	∈	NOUN
esrj-119576	119	5	(	(	PUNCT
esrj-119576	119	6	0,∞	0,∞	NOUN
esrj-119576	119	7	)	)	PUNCT
esrj-119576	120	1	𝑎	𝑎	X
esrj-119576	120	2	>	>	X
esrj-119576	120	3	0	0	NUM
esrj-119576	120	4	,	,	PUNCT
esrj-119576	120	5	𝛼,𝛽	𝛼,𝛽	X
esrj-119576	120	6	>	>	X
esrj-119576	120	7	0	0	PUNCT
esrj-119576	120	8	>	>	SYM
esrj-119576	120	9	0	0	NUM
esrj-119576	120	10	2.4	2.4	NUM
esrj-119576	120	11	maximum	maximum	ADJ
esrj-119576	120	12	likelihood	likelihood	NOUN
esrj-119576	120	13	method	method	NOUN
esrj-119576	120	14	the	the	DET
esrj-119576	120	15	parameter	parameter	NOUN
esrj-119576	120	16	estimates	estimate	NOUN
esrj-119576	120	17	of	of	ADP
esrj-119576	120	18	the	the	DET
esrj-119576	120	19	distributions	distribution	NOUN
esrj-119576	120	20	may	may	AUX
esrj-119576	120	21	be	be	AUX
esrj-119576	120	22	estimated	estimate	VERB
esrj-119576	120	23	using	use	VERB
esrj-119576	120	24	a	a	DET
esrj-119576	120	25	variety	variety	NOUN
esrj-119576	120	26	of	of	ADP
esrj-119576	120	27	techniques	technique	NOUN
esrj-119576	120	28	.	.	PUNCT
esrj-119576	121	1	the	the	DET
esrj-119576	121	2	maximum	maximum	ADJ
esrj-119576	121	3	likelihood	likelihood	NOUN
esrj-119576	121	4	approach	approach	NOUN
esrj-119576	121	5	is	be	AUX
esrj-119576	121	6	the	the	DET
esrj-119576	121	7	most	most	ADV
esrj-119576	121	8	used	used	ADJ
esrj-119576	121	9	estimating	estimating	NOUN
esrj-119576	121	10	technique	technique	NOUN
esrj-119576	121	11	.	.	PUNCT
esrj-119576	122	1	this	this	DET
esrj-119576	122	2	approach	approach	NOUN
esrj-119576	122	3	is	be	AUX
esrj-119576	122	4	used	use	VERB
esrj-119576	122	5	in	in	ADP
esrj-119576	122	6	this	this	DET
esrj-119576	122	7	work	work	NOUN
esrj-119576	122	8	to	to	PART
esrj-119576	122	9	estimate	estimate	VERB
esrj-119576	122	10	the	the	DET
esrj-119576	122	11	parameters	parameter	NOUN
esrj-119576	122	12	of	of	ADP
esrj-119576	122	13	any	any	DET
esrj-119576	122	14	probability	probability	NOUN
esrj-119576	122	15	distribution	distribution	NOUN
esrj-119576	122	16	that	that	PRON
esrj-119576	122	17	is	be	AUX
esrj-119576	122	18	taken	take	VERB
esrj-119576	122	19	into	into	ADP
esrj-119576	122	20	consideration	consideration	NOUN
esrj-119576	122	21	.	.	PUNCT
esrj-119576	123	1	due	due	ADP
esrj-119576	123	2	to	to	ADP
esrj-119576	123	3	its	its	PRON
esrj-119576	123	4	good	good	ADJ
esrj-119576	123	5	asymptotic	asymptotic	ADJ
esrj-119576	123	6	features	feature	NOUN
esrj-119576	123	7	,	,	PUNCT
esrj-119576	123	8	this	this	DET
esrj-119576	123	9	approach	approach	NOUN
esrj-119576	123	10	is	be	AUX
esrj-119576	123	11	a	a	DET
esrj-119576	123	12	widely	widely	ADV
esrj-119576	123	13	used	use	VERB
esrj-119576	123	14	and	and	CCONJ
esrj-119576	123	15	recommended	recommend	VERB
esrj-119576	123	16	statistical	statistical	ADJ
esrj-119576	123	17	estimating	estimating	NOUN
esrj-119576	123	18	technique	technique	NOUN
esrj-119576	123	19	.	.	PUNCT
esrj-119576	124	1	it	it	PRON
esrj-119576	124	2	is	be	AUX
esrj-119576	124	3	widely	widely	ADV
esrj-119576	124	4	acknowledged	acknowledge	VERB
esrj-119576	124	5	that	that	SCONJ
esrj-119576	124	6	it	it	PRON
esrj-119576	124	7	generates	generate	VERB
esrj-119576	124	8	parameter	parameter	NOUN
esrj-119576	124	9	estimates	estimate	NOUN
esrj-119576	124	10	that	that	PRON
esrj-119576	124	11	are	be	AUX
esrj-119576	124	12	both	both	ADV
esrj-119576	124	13	statistically	statistically	ADV
esrj-119576	124	14	consistent	consistent	ADJ
esrj-119576	124	15	and	and	CCONJ
esrj-119576	124	16	effective	effective	ADJ
esrj-119576	124	17	.	.	PUNCT
esrj-119576	125	1	if	if	SCONJ
esrj-119576	125	2	we	we	PRON
esrj-119576	125	3	consider	consider	VERB
esrj-119576	125	4	a	a	DET
esrj-119576	125	5	sample	sample	NOUN
esrj-119576	125	6	{	{	PUNCT
esrj-119576	125	7	x1,x2,	x1,x2,	PROPN
esrj-119576	125	8	…	…	PUNCT
esrj-119576	125	9	,xn	,xn	PUNCT
esrj-119576	125	10	}	}	PUNCT
esrj-119576	125	11	following	follow	VERB
esrj-119576	125	12	distributions	distribution	NOUN
esrj-119576	125	13	with	with	ADP
esrj-119576	125	14	pdf	pdf	NOUN
esrj-119576	125	15	f(x;θ	f(x;θ	PROPN
esrj-119576	125	16	)	)	PUNCT
esrj-119576	125	17	,	,	PUNCT
esrj-119576	125	18	where	where	SCONJ
esrj-119576	125	19	θ	θ	PROPN
esrj-119576	125	20	represents	represent	VERB
esrj-119576	125	21	the	the	DET
esrj-119576	125	22	set	set	NOUN
esrj-119576	125	23	of	of	ADP
esrj-119576	125	24	parameters	parameter	NOUN
esrj-119576	125	25	,	,	PUNCT
esrj-119576	125	26	then	then	ADV
esrj-119576	125	27	the	the	DET
esrj-119576	125	28	log	log	NOUN
esrj-119576	125	29	-	-	PUNCT
esrj-119576	125	30	likelihood	likelihood	NOUN
esrj-119576	125	31	function	function	NOUN
esrj-119576	125	32	can	can	AUX
esrj-119576	125	33	be	be	AUX
esrj-119576	125	34	expressed	express	VERB
esrj-119576	125	35	as	as	ADP
esrj-119576	125	36	(	(	PUNCT
esrj-119576	125	37	,	,	PUNCT
esrj-119576	125	38	,	,	PUNCT
esrj-119576	125	39	…	…	PUNCT
esrj-119576	125	40	,	,	PUNCT
esrj-119576	125	41	;	;	PUNCT
esrj-119576	125	42	)	)	PUNCT
esrj-119576	125	43	=	=	SYM
esrj-119576	125	44	log	log	NOUN
esrj-119576	125	45	(	(	PUNCT
esrj-119576	125	46	;	;	PUNCT
esrj-119576	125	47	)	)	PUNCT
esrj-119576	125	48	.	.	PUNCT
esrj-119576	126	1	by	by	ADP
esrj-119576	126	2	maximizing	maximize	VERB
esrj-119576	126	3	the	the	DET
esrj-119576	126	4	log	log	NOUN
esrj-119576	126	5	l	l	NOUN
esrj-119576	126	6	,	,	PUNCT
esrj-119576	126	7	,	,	PUNCT
esrj-119576	126	8	the	the	DET
esrj-119576	126	9	maximum	maximum	ADJ
esrj-119576	126	10	likelihood	likelihood	NOUN
esrj-119576	126	11	estimates	estimate	NOUN
esrj-119576	126	12	(	(	PUNCT
esrj-119576	126	13	mles	mle	NOUN
esrj-119576	126	14	)	)	PUNCT
esrj-119576	126	15	can	can	AUX
esrj-119576	126	16	be	be	AUX
esrj-119576	126	17	obtained	obtain	VERB
esrj-119576	126	18	.	.	PUNCT
esrj-119576	127	1	to	to	PART
esrj-119576	127	2	obtain	obtain	VERB
esrj-119576	127	3	the	the	DET
esrj-119576	127	4	mles	mle	NOUN
esrj-119576	127	5	,	,	PUNCT
esrj-119576	127	6	we	we	PRON
esrj-119576	127	7	have	have	VERB
esrj-119576	127	8	to	to	PART
esrj-119576	127	9	solve	solve	VERB
esrj-119576	127	10	=	=	SYM
esrj-119576	127	11	0	0	NUM
esrj-119576	127	12	,	,	PUNCT
esrj-119576	127	13	with	with	ADP
esrj-119576	127	14	respect	respect	NOUN
esrj-119576	127	15	to	to	ADP
esrj-119576	127	16	set	set	NOUN
esrj-119576	127	17	of	of	ADP
esrj-119576	127	18	parameters	parameter	NOUN
esrj-119576	127	19	.	.	PUNCT
esrj-119576	128	1	sometimes	sometimes	ADV
esrj-119576	128	2	these	these	DET
esrj-119576	128	3	equations	equation	NOUN
esrj-119576	128	4	can	can	AUX
esrj-119576	128	5	not	not	PART
esrj-119576	128	6	be	be	AUX
esrj-119576	128	7	solved	solve	VERB
esrj-119576	128	8	explicitly	explicitly	ADV
esrj-119576	128	9	,	,	PUNCT
esrj-119576	128	10	then	then	ADV
esrj-119576	128	11	newton	newton	PROPN
esrj-119576	128	12	-	-	PUNCT
esrj-119576	128	13	raphson	raphson	PROPN
esrj-119576	128	14	method	method	NOUN
esrj-119576	128	15	is	be	AUX
esrj-119576	128	16	used	use	VERB
esrj-119576	128	17	(	(	PUNCT
esrj-119576	128	18	gupta	gupta	PROPN
esrj-119576	128	19	&	&	CCONJ
esrj-119576	128	20	kapoor	kapoor	PROPN
esrj-119576	128	21	,	,	PUNCT
esrj-119576	128	22	1997	1997	NUM
esrj-119576	128	23	;	;	PUNCT
esrj-119576	128	24	feng	feng	PROPN
esrj-119576	128	25	et	et	PROPN
esrj-119576	128	26	al	al	PROPN
esrj-119576	128	27	.	.	PROPN
esrj-119576	128	28	,	,	PUNCT
esrj-119576	128	29	2007	2007	NUM
esrj-119576	128	30	;	;	PUNCT
esrj-119576	128	31	ozonur	ozonur	NOUN
esrj-119576	128	32	et	et	NOUN
esrj-119576	128	33	al	al	PROPN
esrj-119576	128	34	.	.	PROPN
esrj-119576	128	35	,	,	PUNCT
esrj-119576	128	36	2021	2021	NUM
esrj-119576	128	37	)	)	PUNCT
esrj-119576	128	38	.	.	PUNCT
esrj-119576	129	1	2.5	2.5	NUM
esrj-119576	129	2	goodness	goodness	NOUN
esrj-119576	129	3	of	of	ADP
esrj-119576	129	4	fit	fit	ADJ
esrj-119576	129	5	tests	test	NOUN
esrj-119576	129	6	and	and	CCONJ
esrj-119576	129	7	model	model	NOUN
esrj-119576	129	8	selection	selection	NOUN
esrj-119576	129	9	criteria	criterion	NOUN
esrj-119576	129	10	to	to	PART
esrj-119576	129	11	assess	assess	VERB
esrj-119576	129	12	the	the	DET
esrj-119576	129	13	appropriateness	appropriateness	NOUN
esrj-119576	129	14	of	of	ADP
esrj-119576	129	15	the	the	DET
esrj-119576	129	16	chosen	choose	VERB
esrj-119576	129	17	probability	probability	NOUN
esrj-119576	129	18	distributions	distribution	NOUN
esrj-119576	129	19	to	to	ADP
esrj-119576	129	20	the	the	DET
esrj-119576	129	21	rainfall	rainfall	NOUN
esrj-119576	129	22	data	data	PROPN
esrj-119576	129	23	,	,	PUNCT
esrj-119576	129	24	kolmogorov	kolmogorov	PROPN
esrj-119576	129	25	-	-	PUNCT
esrj-119576	129	26	smirnov	smirnov	NOUN
esrj-119576	129	27	(	(	PUNCT
esrj-119576	129	28	k	k	NOUN
esrj-119576	129	29	-	-	PUNCT
esrj-119576	129	30	s	s	NOUN
esrj-119576	129	31	)	)	PUNCT
esrj-119576	129	32	test	test	NOUN
esrj-119576	129	33	has	have	AUX
esrj-119576	129	34	been	be	AUX
esrj-119576	129	35	considered	consider	VERB
esrj-119576	129	36	initially	initially	ADV
esrj-119576	129	37	.	.	PUNCT
esrj-119576	130	1	additionally	additionally	ADV
esrj-119576	130	2	,	,	PUNCT
esrj-119576	130	3	akaike	akaike	ADP
esrj-119576	130	4	’s	’s	PART
esrj-119576	130	5	information	information	NOUN
esrj-119576	130	6	criterion	criterion	NOUN
esrj-119576	130	7	(	(	PUNCT
esrj-119576	130	8	aic	aic	PROPN
esrj-119576	130	9	)	)	PUNCT
esrj-119576	130	10	and	and	CCONJ
esrj-119576	130	11	bayesian	bayesian	NOUN
esrj-119576	130	12	information	information	NOUN
esrj-119576	130	13	criterion	criterion	NOUN
esrj-119576	130	14	(	(	PUNCT
esrj-119576	130	15	bic	bic	PROPN
esrj-119576	130	16	)	)	PUNCT
esrj-119576	130	17	have	have	AUX
esrj-119576	130	18	been	be	AUX
esrj-119576	130	19	considered	consider	VERB
esrj-119576	130	20	as	as	ADP
esrj-119576	130	21	the	the	DET
esrj-119576	130	22	model	model	NOUN
esrj-119576	130	23	selection	selection	NOUN
esrj-119576	130	24	criteria	criterion	NOUN
esrj-119576	130	25	.	.	PUNCT
esrj-119576	131	1	using	use	VERB
esrj-119576	131	2	k	k	PROPN
esrj-119576	131	3	-	-	PUNCT
esrj-119576	131	4	s	s	PART
esrj-119576	131	5	test	test	NOUN
esrj-119576	131	6	,	,	PUNCT
esrj-119576	131	7	one	one	PRON
esrj-119576	131	8	can	can	AUX
esrj-119576	131	9	determine	determine	VERB
esrj-119576	131	10	whether	whether	SCONJ
esrj-119576	131	11	the	the	DET
esrj-119576	131	12	data	datum	NOUN
esrj-119576	131	13	follows	follow	VERB
esrj-119576	131	14	the	the	DET
esrj-119576	131	15	considered	consider	VERB
esrj-119576	131	16	distribution	distribution	NOUN
esrj-119576	131	17	or	or	CCONJ
esrj-119576	131	18	not	not	PART
esrj-119576	131	19	.	.	PUNCT
esrj-119576	132	1	in	in	ADP
esrj-119576	132	2	k	k	PROPN
esrj-119576	132	3	-	-	PUNCT
esrj-119576	132	4	s	s	PART
esrj-119576	132	5	test	test	NOUN
esrj-119576	132	6	,	,	PUNCT
esrj-119576	132	7	the	the	DET
esrj-119576	132	8	null	null	ADJ
esrj-119576	132	9	hypothesis	hypothesis	NOUN
esrj-119576	132	10	has	have	AUX
esrj-119576	132	11	been	be	AUX
esrj-119576	132	12	considered	consider	VERB
esrj-119576	132	13	as	as	SCONJ
esrj-119576	132	14	the	the	DET
esrj-119576	132	15	data	data	NOUN
esrj-119576	132	16	follows	follow	VERB
esrj-119576	132	17	the	the	DET
esrj-119576	132	18	selected	select	VERB
esrj-119576	132	19	distribution	distribution	NOUN
esrj-119576	132	20	whereas	whereas	SCONJ
esrj-119576	132	21	the	the	DET
esrj-119576	132	22	alternative	alternative	ADJ
esrj-119576	132	23	hypothesis	hypothesis	NOUN
esrj-119576	132	24	yields	yield	NOUN
esrj-119576	132	25	that	that	SCONJ
esrj-119576	132	26	the	the	DET
esrj-119576	132	27	data	datum	NOUN
esrj-119576	132	28	does	do	AUX
esrj-119576	132	29	not	not	PART
esrj-119576	132	30	follow	follow	VERB
esrj-119576	132	31	the	the	DET
esrj-119576	132	32	selected	select	VERB
esrj-119576	132	33	distribution	distribution	NOUN
esrj-119576	132	34	.	.	PUNCT
esrj-119576	133	1	k	k	X
esrj-119576	133	2	-	-	PUNCT
esrj-119576	133	3	s	s	PART
esrj-119576	133	4	test	test	NOUN
esrj-119576	133	5	statistic	statistic	NOUN
esrj-119576	133	6	defines	define	VERB
esrj-119576	133	7	the	the	DET
esrj-119576	133	8	maximum	maximum	ADJ
esrj-119576	133	9	difference	difference	NOUN
esrj-119576	133	10	between	between	ADP
esrj-119576	133	11	sample	sample	NOUN
esrj-119576	133	12	and	and	CCONJ
esrj-119576	133	13	theoretical	theoretical	ADJ
esrj-119576	133	14	cdf	cdf	NOUN
esrj-119576	133	15	,	,	PUNCT
esrj-119576	133	16	and	and	CCONJ
esrj-119576	133	17	it	it	PRON
esrj-119576	133	18	can	can	AUX
esrj-119576	133	19	be	be	AUX
esrj-119576	133	20	expressed	express	VERB
esrj-119576	133	21	as	as	ADP
esrj-119576	133	22	=	=	SYM
esrj-119576	133	23	max	max	PROPN
esrj-119576	133	24	(	(	PUNCT
esrj-119576	133	25	)	)	PUNCT
esrj-119576	133	26	,	,	PUNCT
esrj-119576	134	1	(	(	PUNCT
esrj-119576	134	2	)	)	PUNCT
esrj-119576	134	3	1	1	NUM
esrj-119576	134	4	,	,	PUNCT
esrj-119576	134	5	367fitting	367fitting	PROPN
esrj-119576	134	6	of	of	ADP
esrj-119576	134	7	statistical	statistical	ADJ
esrj-119576	134	8	distribution	distribution	NOUN
esrj-119576	134	9	in	in	ADP
esrj-119576	134	10	assessing	assess	VERB
esrj-119576	134	11	rainfall	rainfall	NOUN
esrj-119576	134	12	patterns	pattern	NOUN
esrj-119576	134	13	across	across	ADP
esrj-119576	134	14	various	various	ADJ
esrj-119576	134	15	zones	zone	NOUN
esrj-119576	134	16	of	of	ADP
esrj-119576	134	17	assam	assam	PROPN
esrj-119576	134	18	,	,	PUNCT
esrj-119576	134	19	india	india	PROPN
esrj-119576	134	20	where	where	SCONJ
esrj-119576	134	21	x((k	x((k	PROPN
esrj-119576	134	22	)	)	PUNCT
esrj-119576	134	23	)	)	PUNCT
esrj-119576	134	24	is	be	AUX
esrj-119576	134	25	the	the	DET
esrj-119576	134	26	estimated	estimate	VERB
esrj-119576	134	27	value	value	NOUN
esrj-119576	134	28	of	of	ADP
esrj-119576	134	29	the	the	DET
esrj-119576	134	30	cdf	cdf	NOUN
esrj-119576	134	31	,	,	PUNCT
esrj-119576	134	32	and	and	CCONJ
esrj-119576	134	33	{	{	PUNCT
esrj-119576	134	34	x(1	x(1	PROPN
esrj-119576	134	35	)	)	PUNCT
esrj-119576	134	36	,	,	PUNCT
esrj-119576	134	37	…	…	PUNCT
esrj-119576	134	38	,	,	PUNCT
esrj-119576	134	39	x(n	x(n	NOUN
esrj-119576	134	40	)	)	PUNCT
esrj-119576	134	41	}	}	PUNCT
esrj-119576	134	42	are	be	AUX
esrj-119576	134	43	ascending	ascend	VERB
esrj-119576	134	44	ordered	order	VERB
esrj-119576	134	45	observations	observation	NOUN
esrj-119576	134	46	.	.	PUNCT
esrj-119576	135	1	if	if	SCONJ
esrj-119576	135	2	the	the	DET
esrj-119576	135	3	test	test	NOUN
esrj-119576	135	4	statistics	statistic	NOUN
esrj-119576	135	5	dn	dn	ADP
esrj-119576	135	6	>	>	X
esrj-119576	135	7	dn	dn	PROPN
esrj-119576	135	8	(	(	PUNCT
esrj-119576	135	9	α	α	NOUN
esrj-119576	135	10	)	)	PUNCT
esrj-119576	136	1	then	then	ADV
esrj-119576	136	2	the	the	DET
esrj-119576	136	3	null	null	ADJ
esrj-119576	136	4	hypothesis	hypothesis	NOUN
esrj-119576	136	5	will	will	AUX
esrj-119576	136	6	be	be	AUX
esrj-119576	136	7	rejected	reject	VERB
esrj-119576	136	8	at	at	ADP
esrj-119576	136	9	α	α	PRON
esrj-119576	136	10	significance	significance	NOUN
esrj-119576	136	11	level	level	NOUN
esrj-119576	136	12	,	,	PUNCT
esrj-119576	136	13	where	where	SCONJ
esrj-119576	136	14	dn(α	dn(α	PUNCT
esrj-119576	136	15	)	)	PUNCT
esrj-119576	136	16	represents	represent	VERB
esrj-119576	136	17	the	the	DET
esrj-119576	136	18	critical	critical	ADJ
esrj-119576	136	19	value	value	NOUN
esrj-119576	136	20	of	of	ADP
esrj-119576	136	21	the	the	DET
esrj-119576	136	22	k	k	PROPN
esrj-119576	136	23	-	-	PUNCT
esrj-119576	136	24	s	s	NOUN
esrj-119576	136	25	statistic	statistic	NOUN
esrj-119576	136	26	(	(	PUNCT
esrj-119576	136	27	an	an	PRON
esrj-119576	136	28	&	&	CCONJ
esrj-119576	136	29	cheng	cheng	PROPN
esrj-119576	136	30	,	,	PUNCT
esrj-119576	136	31	1996	1996	NUM
esrj-119576	136	32	;	;	PUNCT
esrj-119576	136	33	sharma	sharma	PROPN
esrj-119576	136	34	and	and	CCONJ
esrj-119576	136	35	singh	singh	PROPN
esrj-119576	136	36	,	,	PUNCT
esrj-119576	136	37	2010	2010	NUM
esrj-119576	136	38	;	;	PUNCT
esrj-119576	136	39	mandal	mandal	PROPN
esrj-119576	136	40	and	and	CCONJ
esrj-119576	136	41	choudhury	choudhury	PROPN
esrj-119576	136	42	,	,	PUNCT
esrj-119576	136	43	2014	2014	NUM
esrj-119576	136	44	;	;	PUNCT
esrj-119576	137	1	ozonur	ozonur	NOUN
esrj-119576	137	2	et	et	NOUN
esrj-119576	137	3	al	al	PROPN
esrj-119576	137	4	.	.	PROPN
esrj-119576	137	5	,	,	PUNCT
esrj-119576	137	6	2021	2021	NUM
esrj-119576	137	7	;	;	PUNCT
esrj-119576	137	8	mamoon	mamoon	NOUN
esrj-119576	137	9	&	&	CCONJ
esrj-119576	137	10	rahman	rahman	PROPN
esrj-119576	137	11	,	,	PUNCT
esrj-119576	137	12	2017	2017	NUM
esrj-119576	137	13	;	;	PUNCT
esrj-119576	137	14	moccia	moccia	PROPN
esrj-119576	137	15	et	et	PROPN
esrj-119576	137	16	al	al	PROPN
esrj-119576	137	17	.	.	PROPN
esrj-119576	137	18	2021	2021	NUM
esrj-119576	137	19	)	)	PUNCT
esrj-119576	137	20	.	.	PUNCT
esrj-119576	138	1	further	far	ADV
esrj-119576	138	2	,	,	PUNCT
esrj-119576	138	3	the	the	DET
esrj-119576	138	4	p	p	NOUN
esrj-119576	138	5	-	-	PUNCT
esrj-119576	138	6	values	value	NOUN
esrj-119576	138	7	of	of	ADP
esrj-119576	138	8	the	the	DET
esrj-119576	138	9	goodness	goodness	NOUN
esrj-119576	138	10	of	of	ADP
esrj-119576	138	11	tests	test	NOUN
esrj-119576	138	12	are	be	AUX
esrj-119576	138	13	often	often	ADV
esrj-119576	138	14	used	use	VERB
esrj-119576	138	15	to	to	PART
esrj-119576	138	16	assess	assess	VERB
esrj-119576	138	17	the	the	DET
esrj-119576	138	18	appropriateness	appropriateness	NOUN
esrj-119576	138	19	of	of	ADP
esrj-119576	138	20	the	the	DET
esrj-119576	138	21	above	above	ADV
esrj-119576	138	22	-	-	PUNCT
esrj-119576	138	23	mentioned	mention	VERB
esrj-119576	138	24	distributions	distribution	NOUN
esrj-119576	138	25	.	.	PUNCT
esrj-119576	139	1	by	by	ADP
esrj-119576	139	2	using	use	VERB
esrj-119576	139	3	the	the	DET
esrj-119576	139	4	p	p	ADJ
esrj-119576	139	5	-	-	PUNCT
esrj-119576	139	6	value	value	NOUN
esrj-119576	139	7	technique	technique	NOUN
esrj-119576	139	8	,	,	PUNCT
esrj-119576	139	9	the	the	DET
esrj-119576	139	10	null	null	ADJ
esrj-119576	139	11	hypothesis	hypothesis	NOUN
esrj-119576	139	12	is	be	AUX
esrj-119576	139	13	rejected	reject	VERB
esrj-119576	139	14	if	if	SCONJ
esrj-119576	139	15	the	the	DET
esrj-119576	139	16	p	p	NOUN
esrj-119576	139	17	-	-	PUNCT
esrj-119576	139	18	value	value	NOUN
esrj-119576	139	19	is	be	AUX
esrj-119576	139	20	less	less	ADJ
esrj-119576	139	21	than	than	ADP
esrj-119576	139	22	the	the	DET
esrj-119576	139	23	selected	select	VERB
esrj-119576	139	24	significance	significance	NOUN
esrj-119576	139	25	threshold	threshold	NOUN
esrj-119576	139	26	.	.	PUNCT
esrj-119576	140	1	the	the	DET
esrj-119576	140	2	null	null	ADJ
esrj-119576	140	3	hypothesis	hypothesis	NOUN
esrj-119576	140	4	is	be	AUX
esrj-119576	140	5	not	not	PART
esrj-119576	140	6	rejected	reject	VERB
esrj-119576	140	7	if	if	SCONJ
esrj-119576	140	8	the	the	DET
esrj-119576	140	9	p	p	NOUN
esrj-119576	140	10	-	-	PUNCT
esrj-119576	140	11	value	value	NOUN
esrj-119576	140	12	is	be	AUX
esrj-119576	140	13	bigger	big	ADJ
esrj-119576	140	14	than	than	ADP
esrj-119576	140	15	the	the	DET
esrj-119576	140	16	significance	significance	NOUN
esrj-119576	140	17	threshold	threshold	NOUN
esrj-119576	140	18	,	,	PUNCT
esrj-119576	140	19	and	and	CCONJ
esrj-119576	140	20	there	there	PRON
esrj-119576	140	21	is	be	VERB
esrj-119576	140	22	insufficient	insufficient	ADJ
esrj-119576	140	23	evidence	evidence	NOUN
esrj-119576	140	24	to	to	PART
esrj-119576	140	25	draw	draw	VERB
esrj-119576	140	26	the	the	DET
esrj-119576	140	27	conclusion	conclusion	NOUN
esrj-119576	140	28	that	that	SCONJ
esrj-119576	140	29	the	the	DET
esrj-119576	140	30	data	datum	NOUN
esrj-119576	140	31	do	do	AUX
esrj-119576	140	32	not	not	PART
esrj-119576	140	33	follow	follow	VERB
esrj-119576	140	34	the	the	DET
esrj-119576	140	35	given	give	VERB
esrj-119576	140	36	distribution	distribution	NOUN
esrj-119576	140	37	.	.	PUNCT
esrj-119576	141	1	if	if	SCONJ
esrj-119576	141	2	it	it	PRON
esrj-119576	141	3	is	be	AUX
esrj-119576	141	4	determined	determined	ADJ
esrj-119576	141	5	that	that	SCONJ
esrj-119576	141	6	both	both	PRON
esrj-119576	141	7	of	of	ADP
esrj-119576	141	8	the	the	DET
esrj-119576	141	9	distributions	distribution	NOUN
esrj-119576	141	10	under	under	ADP
esrj-119576	141	11	comparison	comparison	NOUN
esrj-119576	141	12	may	may	AUX
esrj-119576	141	13	be	be	AUX
esrj-119576	141	14	appropriate	appropriate	ADJ
esrj-119576	141	15	,	,	PUNCT
esrj-119576	141	16	then	then	ADV
esrj-119576	141	17	the	the	DET
esrj-119576	141	18	distribution	distribution	NOUN
esrj-119576	141	19	with	with	ADP
esrj-119576	141	20	the	the	DET
esrj-119576	141	21	greater	great	ADJ
esrj-119576	141	22	p	p	NOUN
esrj-119576	141	23	-	-	PUNCT
esrj-119576	141	24	value	value	NOUN
esrj-119576	141	25	fits	fit	VERB
esrj-119576	141	26	the	the	DET
esrj-119576	141	27	data	datum	NOUN
esrj-119576	141	28	more	more	ADV
esrj-119576	141	29	closely	closely	ADV
esrj-119576	141	30	.	.	PUNCT
esrj-119576	142	1	the	the	DET
esrj-119576	142	2	effectiveness	effectiveness	NOUN
esrj-119576	142	3	of	of	ADP
esrj-119576	142	4	the	the	DET
esrj-119576	142	5	investigated	investigate	VERB
esrj-119576	142	6	pdfs	pdfs	NOUN
esrj-119576	142	7	for	for	ADP
esrj-119576	142	8	modelling	model	VERB
esrj-119576	142	9	the	the	DET
esrj-119576	142	10	rainfall	rainfall	NOUN
esrj-119576	142	11	data	datum	NOUN
esrj-119576	142	12	is	be	AUX
esrj-119576	142	13	determined	determine	VERB
esrj-119576	142	14	using	use	VERB
esrj-119576	142	15	the	the	DET
esrj-119576	142	16	model	model	NOUN
esrj-119576	142	17	selection	selection	NOUN
esrj-119576	142	18	criteria	criterion	NOUN
esrj-119576	142	19	aic	aic	PROPN
esrj-119576	142	20	and	and	CCONJ
esrj-119576	142	21	bic	bic	PROPN
esrj-119576	142	22	after	after	SCONJ
esrj-119576	142	23	the	the	DET
esrj-119576	142	24	appropriateness	appropriateness	NOUN
esrj-119576	142	25	of	of	ADP
esrj-119576	142	26	the	the	DET
esrj-119576	142	27	pdfs	pdfs	PROPN
esrj-119576	142	28	is	be	AUX
esrj-119576	142	29	determined	determine	VERB
esrj-119576	142	30	based	base	VERB
esrj-119576	142	31	on	on	ADP
esrj-119576	142	32	the	the	DET
esrj-119576	142	33	findings	finding	NOUN
esrj-119576	142	34	of	of	ADP
esrj-119576	142	35	the	the	DET
esrj-119576	142	36	goodness	goodness	NOUN
esrj-119576	142	37	of	of	ADP
esrj-119576	142	38	fit	fit	ADJ
esrj-119576	142	39	tests	test	NOUN
esrj-119576	142	40	.	.	PUNCT
esrj-119576	143	1	the	the	DET
esrj-119576	143	2	aic	aic	PROPN
esrj-119576	143	3	and	and	CCONJ
esrj-119576	143	4	bic	bic	PROPN
esrj-119576	143	5	can	can	AUX
esrj-119576	143	6	be	be	AUX
esrj-119576	143	7	obtained	obtain	VERB
esrj-119576	143	8	by	by	ADP
esrj-119576	143	9	using	use	VERB
esrj-119576	143	10	the	the	DET
esrj-119576	143	11	following	follow	VERB
esrj-119576	143	12	formulas	formula	NOUN
esrj-119576	143	13	:	:	PUNCT
esrj-119576	144	1	aic	aic	PROPN
esrj-119576	144	2	=	=	PROPN
esrj-119576	145	1	-2	-2	INTJ
esrj-119576	146	1	log	log	NOUN
esrj-119576	146	2	l	l	PROPN
esrj-119576	147	1	+	+	CCONJ
esrj-119576	147	2	2	2	NUM
esrj-119576	147	3	m	m	NOUN
esrj-119576	147	4	,	,	PUNCT
esrj-119576	147	5	bic	bic	PROPN
esrj-119576	147	6	=	=	SYM
esrj-119576	147	7	-2	-2	NOUN
esrj-119576	148	1	log	log	NOUN
esrj-119576	148	2	l	l	PROPN
esrj-119576	149	1	+	+	CCONJ
esrj-119576	149	2	m	m	VERB
esrj-119576	149	3	log	log	NOUN
esrj-119576	149	4	n	n	INTJ
esrj-119576	149	5	,	,	PUNCT
esrj-119576	149	6	where	where	SCONJ
esrj-119576	149	7	log	log	NOUN
esrj-119576	149	8	l	l	NOUN
esrj-119576	149	9	yields	yield	VERB
esrj-119576	149	10	the	the	DET
esrj-119576	149	11	value	value	NOUN
esrj-119576	149	12	of	of	ADP
esrj-119576	149	13	the	the	DET
esrj-119576	149	14	estimated	estimate	VERB
esrj-119576	149	15	log	log	NOUN
esrj-119576	149	16	-	-	PUNCT
esrj-119576	149	17	likelihood	likelihood	NOUN
esrj-119576	149	18	function	function	NOUN
esrj-119576	149	19	at	at	ADP
esrj-119576	149	20	the	the	DET
esrj-119576	149	21	mles	mle	NOUN
esrj-119576	149	22	of	of	ADP
esrj-119576	149	23	the	the	DET
esrj-119576	149	24	selected	select	VERB
esrj-119576	149	25	model	model	NOUN
esrj-119576	149	26	,	,	PUNCT
esrj-119576	149	27	m	m	VERB
esrj-119576	149	28	is	be	AUX
esrj-119576	149	29	the	the	DET
esrj-119576	149	30	number	number	NOUN
esrj-119576	149	31	of	of	ADP
esrj-119576	149	32	parameters	parameter	NOUN
esrj-119576	149	33	of	of	ADP
esrj-119576	149	34	the	the	DET
esrj-119576	149	35	selected	select	VERB
esrj-119576	149	36	distribution	distribution	NOUN
esrj-119576	149	37	,	,	PUNCT
esrj-119576	149	38	and	and	CCONJ
esrj-119576	149	39	n	n	PRON
esrj-119576	149	40	is	be	AUX
esrj-119576	149	41	the	the	DET
esrj-119576	149	42	number	number	NOUN
esrj-119576	149	43	of	of	ADP
esrj-119576	149	44	observed	observed	ADJ
esrj-119576	149	45	data	datum	NOUN
esrj-119576	149	46	(	(	PUNCT
esrj-119576	149	47	akaike	akaike	ADJ
esrj-119576	149	48	,	,	PUNCT
esrj-119576	149	49	1969	1969	NUM
esrj-119576	149	50	;	;	PUNCT
esrj-119576	149	51	schwarz	schwarz	NOUN
esrj-119576	149	52	,	,	PUNCT
esrj-119576	149	53	1978	1978	NUM
esrj-119576	149	54	;	;	PUNCT
esrj-119576	149	55	ozonur	ozonur	NOUN
esrj-119576	149	56	et	et	NOUN
esrj-119576	149	57	al	al	PROPN
esrj-119576	149	58	.	.	PROPN
esrj-119576	149	59	,	,	PUNCT
esrj-119576	149	60	2021	2021	NUM
esrj-119576	149	61	;	;	PUNCT
esrj-119576	149	62	mohamad	mohamad	PROPN
esrj-119576	149	63	&	&	CCONJ
esrj-119576	149	64	adam	adam	PROPN
esrj-119576	149	65	,	,	PUNCT
esrj-119576	149	66	2021	2021	NUM
esrj-119576	149	67	)	)	PUNCT
esrj-119576	149	68	.	.	PUNCT
esrj-119576	150	1	these	these	PRON
esrj-119576	150	2	are	be	AUX
esrj-119576	150	3	analysed	analyse	VERB
esrj-119576	150	4	in	in	ADP
esrj-119576	150	5	software	software	NOUN
esrj-119576	150	6	r	r	NOUN
esrj-119576	150	7	version	version	NOUN
esrj-119576	150	8	4.1.1	4.1.1	NUM
esrj-119576	150	9	.	.	PROPN
esrj-119576	151	1	3	3	X
esrj-119576	151	2	.	.	NOUN
esrj-119576	151	3	result	result	NOUN
esrj-119576	151	4	and	and	CCONJ
esrj-119576	151	5	discussion	discussion	NOUN
esrj-119576	151	6	in	in	ADP
esrj-119576	151	7	this	this	DET
esrj-119576	151	8	section	section	NOUN
esrj-119576	151	9	,	,	PUNCT
esrj-119576	151	10	the	the	DET
esrj-119576	151	11	best	good	ADJ
esrj-119576	151	12	fit	fit	ADJ
esrj-119576	151	13	distribution	distribution	NOUN
esrj-119576	151	14	is	be	AUX
esrj-119576	151	15	elaborately	elaborately	ADV
esrj-119576	151	16	discussed	discuss	VERB
esrj-119576	151	17	on	on	ADP
esrj-119576	151	18	total	total	ADJ
esrj-119576	151	19	rainfall	rainfall	NOUN
esrj-119576	151	20	(	(	PUNCT
esrj-119576	151	21	mm	mm	NOUN
esrj-119576	151	22	)	)	PUNCT
esrj-119576	151	23	monthly	monthly	ADJ
esrj-119576	151	24	and	and	CCONJ
esrj-119576	151	25	season	season	NOUN
esrj-119576	151	26	wise	wise	ADJ
esrj-119576	151	27	for	for	ADP
esrj-119576	151	28	guwahati	guwahati	NOUN
esrj-119576	151	29	,	,	PUNCT
esrj-119576	151	30	silchar	silchar	PROPN
esrj-119576	151	31	,	,	PUNCT
esrj-119576	151	32	tezpur	tezpur	NOUN
esrj-119576	151	33	,	,	PUNCT
esrj-119576	151	34	dibrugarh	dibrugarh	NOUN
esrj-119576	151	35	,	,	PUNCT
esrj-119576	151	36	dhubri	dhubri	NOUN
esrj-119576	151	37	station	station	NOUN
esrj-119576	151	38	and	and	CCONJ
esrj-119576	151	39	are	be	AUX
esrj-119576	151	40	given	give	VERB
esrj-119576	151	41	below	below	ADP
esrj-119576	151	42	the	the	DET
esrj-119576	151	43	above	above	ADJ
esrj-119576	151	44	table	table	NOUN
esrj-119576	151	45	4	4	NUM
esrj-119576	151	46	describes	describe	VERB
esrj-119576	151	47	the	the	DET
esrj-119576	151	48	frame	frame	NOUN
esrj-119576	151	49	of	of	ADP
esrj-119576	151	50	the	the	DET
esrj-119576	151	51	data	datum	NOUN
esrj-119576	151	52	in	in	ADP
esrj-119576	151	53	both	both	CCONJ
esrj-119576	151	54	monthly	monthly	ADJ
esrj-119576	151	55	and	and	CCONJ
esrj-119576	151	56	season	season	NOUN
esrj-119576	151	57	wise	wise	ADJ
esrj-119576	151	58	by	by	ADP
esrj-119576	151	59	introducing	introduce	VERB
esrj-119576	151	60	length	length	NOUN
esrj-119576	151	61	of	of	ADP
esrj-119576	151	62	the	the	DET
esrj-119576	151	63	data	datum	NOUN
esrj-119576	151	64	,	,	PUNCT
esrj-119576	151	65	mean	mean	VERB
esrj-119576	151	66	,	,	PUNCT
esrj-119576	151	67	maximum	maximum	ADJ
esrj-119576	151	68	(	(	PUNCT
esrj-119576	151	69	max	max	PROPN
esrj-119576	151	70	)	)	PUNCT
esrj-119576	151	71	,	,	PUNCT
esrj-119576	151	72	minimum	minimum	NOUN
esrj-119576	151	73	(	(	PUNCT
esrj-119576	151	74	min	min	NOUN
esrj-119576	151	75	)	)	PUNCT
esrj-119576	151	76	,	,	PUNCT
esrj-119576	151	77	median	median	NOUN
esrj-119576	151	78	,	,	PUNCT
esrj-119576	151	79	standard	standard	ADJ
esrj-119576	151	80	deviation	deviation	NOUN
esrj-119576	151	81	(	(	PUNCT
esrj-119576	151	82	sd	sd	NOUN
esrj-119576	151	83	)	)	PUNCT
esrj-119576	151	84	,	,	PUNCT
esrj-119576	151	85	coefficient	coefficient	NOUN
esrj-119576	151	86	of	of	ADP
esrj-119576	151	87	variation	variation	NOUN
esrj-119576	151	88	(	(	PUNCT
esrj-119576	151	89	cv	cv	PROPN
esrj-119576	151	90	)	)	PUNCT
esrj-119576	151	91	,	,	PUNCT
esrj-119576	151	92	coefficient	coefficient	NOUN
esrj-119576	151	93	of	of	ADP
esrj-119576	151	94	skewness	skewness	NOUN
esrj-119576	151	95	(	(	PUNCT
esrj-119576	151	96	cs	cs	PROPN
esrj-119576	151	97	)	)	PUNCT
esrj-119576	151	98	and	and	CCONJ
esrj-119576	151	99	coefficient	coefficient	NOUN
esrj-119576	151	100	of	of	ADP
esrj-119576	151	101	kurtosis	kurtosis	NOUN
esrj-119576	151	102	(	(	PUNCT
esrj-119576	151	103	ck	ck	NOUN
esrj-119576	151	104	)	)	PUNCT
esrj-119576	151	105	.	.	PUNCT
esrj-119576	152	1	out	out	ADP
esrj-119576	152	2	of	of	ADP
esrj-119576	152	3	the	the	DET
esrj-119576	152	4	twelve	twelve	NUM
esrj-119576	152	5	months	month	NOUN
esrj-119576	152	6	,	,	PUNCT
esrj-119576	152	7	on	on	ADP
esrj-119576	152	8	april	april	PROPN
esrj-119576	152	9	month	month	NOUN
esrj-119576	152	10	variation	variation	NOUN
esrj-119576	152	11	is	be	AUX
esrj-119576	152	12	highest	high	ADJ
esrj-119576	152	13	as	as	ADP
esrj-119576	152	14	sd	sd	NUM
esrj-119576	152	15	is	be	AUX
esrj-119576	152	16	122.444	122.444	NUM
esrj-119576	152	17	and	and	CCONJ
esrj-119576	152	18	in	in	ADP
esrj-119576	152	19	season	season	NOUN
esrj-119576	152	20	wise	wise	ADJ
esrj-119576	152	21	on	on	ADP
esrj-119576	152	22	pre	pre	ADJ
esrj-119576	152	23	-	-	ADJ
esrj-119576	152	24	monsoon	monsoon	ADJ
esrj-119576	152	25	season	season	NOUN
esrj-119576	152	26	shows	show	VERB
esrj-119576	152	27	highest	high	ADJ
esrj-119576	152	28	variation	variation	NOUN
esrj-119576	152	29	(	(	PUNCT
esrj-119576	152	30	sd=124.134	sd=124.134	PROPN
esrj-119576	152	31	)	)	PUNCT
esrj-119576	152	32	.	.	PUNCT
esrj-119576	153	1	similarly	similarly	ADV
esrj-119576	153	2	,	,	PUNCT
esrj-119576	153	3	the	the	DET
esrj-119576	153	4	descriptive	descriptive	ADJ
esrj-119576	153	5	statistics	statistic	NOUN
esrj-119576	153	6	have	have	AUX
esrj-119576	153	7	been	be	AUX
esrj-119576	153	8	calculated	calculate	VERB
esrj-119576	153	9	for	for	ADP
esrj-119576	153	10	the	the	DET
esrj-119576	153	11	remaining	remain	VERB
esrj-119576	153	12	station	station	NOUN
esrj-119576	153	13	from	from	ADP
esrj-119576	153	14	which	which	PRON
esrj-119576	153	15	it	it	PRON
esrj-119576	153	16	has	have	AUX
esrj-119576	153	17	been	be	AUX
esrj-119576	153	18	observed	observe	VERB
esrj-119576	153	19	that	that	SCONJ
esrj-119576	153	20	april	april	PROPN
esrj-119576	153	21	(	(	PUNCT
esrj-119576	153	22	194.319	194.319	NUM
esrj-119576	153	23	)	)	PUNCT
esrj-119576	153	24	month	month	NOUN
esrj-119576	153	25	and	and	CCONJ
esrj-119576	153	26	premonsoon	premonsoon	NOUN
esrj-119576	153	27	(	(	PUNCT
esrj-119576	153	28	201.759	201.759	NUM
esrj-119576	153	29	)	)	PUNCT
esrj-119576	153	30	show	show	VERB
esrj-119576	153	31	highest	high	ADJ
esrj-119576	153	32	sd	sd	NOUN
esrj-119576	153	33	in	in	ADP
esrj-119576	153	34	silchar	silchar	PROPN
esrj-119576	153	35	station	station	NOUN
esrj-119576	153	36	.	.	PUNCT
esrj-119576	154	1	the	the	DET
esrj-119576	154	2	month	month	NOUN
esrj-119576	154	3	of	of	ADP
esrj-119576	154	4	june	june	PROPN
esrj-119576	154	5	is	be	AUX
esrj-119576	154	6	showing	show	VERB
esrj-119576	154	7	highest	high	ADJ
esrj-119576	154	8	sd	sd	NOUN
esrj-119576	154	9	for	for	ADP
esrj-119576	154	10	the	the	DET
esrj-119576	154	11	remaining	remain	VERB
esrj-119576	154	12	stations	station	NOUN
esrj-119576	154	13	i.e.	i.e.	X
esrj-119576	154	14	tezpur	tezpur	NOUN
esrj-119576	154	15	(	(	PUNCT
esrj-119576	154	16	144.872	144.872	NUM
esrj-119576	154	17	)	)	PUNCT
esrj-119576	154	18	,	,	PUNCT
esrj-119576	154	19	dibrugarh	dibrugarh	NOUN
esrj-119576	154	20	(	(	PUNCT
esrj-119576	154	21	165.55	165.55	NUM
esrj-119576	154	22	)	)	PUNCT
esrj-119576	154	23	and	and	CCONJ
esrj-119576	154	24	dhubri	dhubri	NOUN
esrj-119576	154	25	(	(	PUNCT
esrj-119576	154	26	281.681	281.681	NUM
esrj-119576	154	27	)	)	PUNCT
esrj-119576	154	28	.	.	PUNCT
esrj-119576	155	1	season	season	NOUN
esrj-119576	155	2	wise	wise	ADJ
esrj-119576	155	3	,	,	PUNCT
esrj-119576	155	4	monsoon	monsoon	NOUN
esrj-119576	155	5	shows	show	VERB
esrj-119576	155	6	highest	high	ADJ
esrj-119576	155	7	sd	sd	NOUN
esrj-119576	155	8	for	for	ADP
esrj-119576	155	9	the	the	DET
esrj-119576	155	10	remaining	remain	VERB
esrj-119576	155	11	station	station	NOUN
esrj-119576	155	12	tezpur	tezpur	NOUN
esrj-119576	155	13	(	(	PUNCT
esrj-119576	155	14	118.590	118.590	NUM
esrj-119576	155	15	)	)	PUNCT
esrj-119576	155	16	,	,	PUNCT
esrj-119576	155	17	dibrugarh	dibrugarh	NOUN
esrj-119576	155	18	(	(	PUNCT
esrj-119576	155	19	149.852	149.852	NUM
esrj-119576	155	20	)	)	PUNCT
esrj-119576	155	21	and	and	CCONJ
esrj-119576	155	22	dhubri	dhubri	NOUN
esrj-119576	155	23	(	(	PUNCT
esrj-119576	155	24	233.280	233.280	NUM
esrj-119576	155	25	)	)	PUNCT
esrj-119576	155	26	.	.	PUNCT
esrj-119576	156	1	table	table	NOUN
esrj-119576	156	2	4	4	NUM
esrj-119576	156	3	.	.	PUNCT
esrj-119576	156	4	descriptive	descriptive	ADJ
esrj-119576	156	5	statistics	statistic	NOUN
esrj-119576	156	6	of	of	ADP
esrj-119576	156	7	rainfall	rainfall	NOUN
esrj-119576	156	8	in	in	ADP
esrj-119576	156	9	monthly	monthly	ADJ
esrj-119576	156	10	and	and	CCONJ
esrj-119576	156	11	season	season	NOUN
esrj-119576	156	12	wise	wise	ADJ
esrj-119576	156	13	data	datum	NOUN
esrj-119576	156	14	of	of	ADP
esrj-119576	156	15	guwahati	guwahati	NOUN
esrj-119576	156	16	station	station	NOUN
esrj-119576	156	17	for	for	ADP
esrj-119576	156	18	the	the	DET
esrj-119576	156	19	period	period	NOUN
esrj-119576	156	20	of	of	ADP
esrj-119576	156	21	1985	1985	NUM
esrj-119576	156	22	-	-	SYM
esrj-119576	156	23	2022	2022	NUM
esrj-119576	156	24	month	month	NOUN
esrj-119576	156	25	length	length	NOUN
esrj-119576	156	26	mean	mean	PROPN
esrj-119576	156	27	min	min	PROPN
esrj-119576	156	28	max	max	PROPN
esrj-119576	156	29	median	median	PROPN
esrj-119576	156	30	sd	sd	PROPN
esrj-119576	156	31	cv	cv	PROPN
esrj-119576	156	32	cs	cs	PROPN
esrj-119576	156	33	ck	ck	PROPN
esrj-119576	156	34	january	january	PROPN
esrj-119576	156	35	38	38	NUM
esrj-119576	157	1	11.387	11.387	NUM
esrj-119576	157	2	0	0	NUM
esrj-119576	157	3	78.100	78.100	NUM
esrj-119576	157	4	7.900	7.900	NUM
esrj-119576	157	5	15.104	15.104	NUM
esrj-119576	157	6	132.648	132.648	NUM
esrj-119576	157	7	2.416	2.416	NUM
esrj-119576	157	8	7.599	7.599	NUM
esrj-119576	157	9	february	february	NOUN
esrj-119576	157	10	38	38	NUM
esrj-119576	157	11	19.840	19.840	NUM
esrj-119576	157	12	0	0	NUM
esrj-119576	157	13	96.100	96.100	NUM
esrj-119576	157	14	14.700	14.700	NUM
esrj-119576	157	15	19.812	19.812	NUM
esrj-119576	157	16	99.850	99.850	NUM
esrj-119576	157	17	1.707	1.707	NUM
esrj-119576	157	18	3.744	3.744	NUM
esrj-119576	157	19	march	march	NOUN
esrj-119576	157	20	38	38	NUM
esrj-119576	157	21	52.180	52.180	NUM
esrj-119576	157	22	3.800	3.800	NUM
esrj-119576	157	23	152.100	152.100	NUM
esrj-119576	157	24	42.450	42.450	NUM
esrj-119576	157	25	40.544	40.544	NUM
esrj-119576	157	26	77.703	77.703	NUM
esrj-119576	157	27	0.891	0.891	NUM
esrj-119576	157	28	-0.168	-0.168	NUM
esrj-119576	157	29	april	april	PROPN
esrj-119576	157	30	38	38	NUM
esrj-119576	157	31	179.200	179.200	NUM
esrj-119576	157	32	24.000	24.000	NUM
esrj-119576	157	33	520.900	520.900	NUM
esrj-119576	157	34	160.700	160.700	NUM
esrj-119576	157	35	102.342	102.342	NUM
esrj-119576	157	36	57.121	57.121	NUM
esrj-119576	157	37	0.889	0.889	NUM
esrj-119576	157	38	1.431	1.431	NUM
esrj-119576	157	39	may	may	AUX
esrj-119576	157	40	38	38	NUM
esrj-119576	157	41	246.200	246.200	NUM
esrj-119576	157	42	88.500	88.500	NUM
esrj-119576	157	43	569.700	569.700	NUM
esrj-119576	157	44	222.000	222.000	NUM
esrj-119576	157	45	122.444	122.444	NUM
esrj-119576	157	46	49.729	49.729	NUM
esrj-119576	157	47	0.777	0.777	NUM
esrj-119576	157	48	-0.120	-0.120	X
esrj-119576	157	49	june	june	PROPN
esrj-119576	157	50	38	38	NUM
esrj-119576	157	51	301.600	301.600	NUM
esrj-119576	157	52	104.100	104.100	NUM
esrj-119576	157	53	573.000	573.000	NUM
esrj-119576	157	54	307.200	307.200	NUM
esrj-119576	157	55	117.190	117.190	NUM
esrj-119576	157	56	38.853	38.853	NUM
esrj-119576	157	57	0.262	0.262	NUM
esrj-119576	157	58	-0.825	-0.825	PROPN
esrj-119576	157	59	july	july	PROPN
esrj-119576	157	60	38	38	NUM
esrj-119576	157	61	301.900	301.900	NUM
esrj-119576	157	62	131.600	131.600	NUM
esrj-119576	157	63	638.800	638.800	NUM
esrj-119576	157	64	285.900	285.900	NUM
esrj-119576	157	65	118.365	118.365	NUM
esrj-119576	157	66	39.207	39.207	NUM
esrj-119576	157	67	0.880	0.880	NUM
esrj-119576	157	68	0.397	0.397	NUM
esrj-119576	157	69	august	august	PROPN
esrj-119576	157	70	38	38	NUM
esrj-119576	157	71	239.100	239.100	NUM
esrj-119576	157	72	67.100	67.100	NUM
esrj-119576	157	73	569.200	569.200	NUM
esrj-119576	157	74	221.100	221.100	NUM
esrj-119576	157	75	111.544	111.544	NUM
esrj-119576	157	76	46.660	46.660	NUM
esrj-119576	157	77	0.550	0.550	NUM
esrj-119576	157	78	0.080	0.080	NUM
esrj-119576	157	79	september	september	PROPN
esrj-119576	157	80	38	38	NUM
esrj-119576	157	81	190.300	190.300	NUM
esrj-119576	157	82	28.200	28.200	NUM
esrj-119576	157	83	372.000	372.000	NUM
esrj-119576	157	84	183.100	183.100	NUM
esrj-119576	157	85	86.267	86.267	NUM
esrj-119576	157	86	45.342	45.342	NUM
esrj-119576	157	87	0.353	0.353	NUM
esrj-119576	157	88	-0.786	-0.786	NOUN
esrj-119576	157	89	october	october	PROPN
esrj-119576	157	90	38	38	NUM
esrj-119576	157	91	115.540	115.540	NUM
esrj-119576	157	92	7.200	7.200	NUM
esrj-119576	157	93	354.400	354.400	NUM
esrj-119576	157	94	117.750	117.750	NUM
esrj-119576	157	95	81.680	81.680	NUM
esrj-119576	157	96	70.691	70.691	NUM
esrj-119576	157	97	0.868	0.868	NUM
esrj-119576	157	98	0.618	0.618	NUM
esrj-119576	157	99	november	november	PROPN
esrj-119576	157	100	38	38	NUM
esrj-119576	157	101	11.900	11.900	NUM
esrj-119576	157	102	0	0	NUM
esrj-119576	157	103	88.100	88.100	NUM
esrj-119576	157	104	4.450	4.450	NUM
esrj-119576	157	105	18.381	18.381	NUM
esrj-119576	157	106	154.463	154.463	NUM
esrj-119576	157	107	2.367	2.367	NUM
esrj-119576	157	108	6.005	6.005	NUM
esrj-119576	157	109	december	december	PROPN
esrj-119576	157	110	38	38	NUM
esrj-119576	157	111	4.989	4.989	NUM
esrj-119576	157	112	0	0	NUM
esrj-119576	157	113	29.000	29.000	NUM
esrj-119576	157	114	0.600	0.600	NUM
esrj-119576	157	115	8.014	8.014	NUM
esrj-119576	157	116	160.626	160.626	NUM
esrj-119576	157	117	1.554	1.554	NUM
esrj-119576	157	118	1.155	1.155	NUM
esrj-119576	157	119	winter	winter	NOUN
esrj-119576	157	120	76	76	NUM
esrj-119576	157	121	15.610	15.610	NUM
esrj-119576	157	122	0	0	NUM
esrj-119576	157	123	96.100	96.100	NUM
esrj-119576	157	124	11.000	11.000	NUM
esrj-119576	157	125	18.006	18.006	NUM
esrj-119576	157	126	115.332	115.332	NUM
esrj-119576	157	127	2.023	2.023	NUM
esrj-119576	157	128	5.272	5.272	NUM
esrj-119576	157	129	pre	pre	NOUN
esrj-119576	157	130	-	-	NOUN
esrj-119576	157	131	mon	mon	ADJ
esrj-119576	157	132	114	114	NUM
esrj-119576	157	133	159.189	159.189	NUM
esrj-119576	157	134	3.800	3.800	NUM
esrj-119576	157	135	569.700	569.700	NUM
esrj-119576	157	136	135.100	135.100	NUM
esrj-119576	157	137	124.134	124.134	NUM
esrj-119576	157	138	77.978	77.978	NUM
esrj-119576	157	139	1.008	1.008	NUM
esrj-119576	157	140	0.755	0.755	NUM
esrj-119576	157	141	monsoon	monsoon	NOUN
esrj-119576	157	142	152	152	NUM
esrj-119576	157	143	258.200	258.200	NUM
esrj-119576	157	144	28.200	28.200	NUM
esrj-119576	157	145	638.800	638.800	NUM
esrj-119576	157	146	242.100	242.100	NUM
esrj-119576	157	147	117.810	117.810	NUM
esrj-119576	157	148	45.626	45.626	NUM
esrj-119576	157	149	0.623	0.623	NUM
esrj-119576	157	150	0.177	0.177	NUM
esrj-119576	157	151	post	post	ADJ
esrj-119576	157	152	-	-	ADJ
esrj-119576	157	153	mon	mon	ADJ
esrj-119576	157	154	114	114	NUM
esrj-119576	157	155	44.140	44.140	NUM
esrj-119576	157	156	0	0	NUM
esrj-119576	157	157	354.400	354.400	NUM
esrj-119576	157	158	8.650	8.650	NUM
esrj-119576	157	159	69.969	69.969	NUM
esrj-119576	157	160	158.501	158.501	NUM
esrj-119576	157	161	2.054	2.054	NUM
esrj-119576	157	162	4.315	4.315	NUM
esrj-119576	157	163	368	368	NUM
esrj-119576	157	164	tanusree	tanusree	PROPN
esrj-119576	157	165	deb	deb	PROPN
esrj-119576	157	166	roy	roy	PROPN
esrj-119576	157	167	,	,	PUNCT
esrj-119576	157	168	dipanjali	dipanjali	PROPN
esrj-119576	157	169	ray	ray	PROPN
esrj-119576	157	170	,	,	PUNCT
esrj-119576	157	171	subhankar	subhankar	PROPN
esrj-119576	157	172	dutta	dutta	PROPN
esrj-119576	157	173	,	,	PUNCT
esrj-119576	157	174	and	and	CCONJ
esrj-119576	157	175	sebul	sebul	PROPN
esrj-119576	157	176	islam	islam	PROPN
esrj-119576	157	177	laskar	laskar	PROPN
esrj-119576	157	178	table	table	PROPN
esrj-119576	157	179	5	5	NUM
esrj-119576	157	180	.	.	PUNCT
esrj-119576	158	1	estimates	estimate	NOUN
esrj-119576	158	2	of	of	ADP
esrj-119576	158	3	probability	probability	NOUN
esrj-119576	158	4	distribution	distribution	NOUN
esrj-119576	158	5	fitting	fitting	ADJ
esrj-119576	158	6	of	of	ADP
esrj-119576	158	7	total	total	ADJ
esrj-119576	158	8	monthly	monthly	ADJ
esrj-119576	158	9	rainfall	rainfall	NOUN
esrj-119576	158	10	in	in	ADP
esrj-119576	158	11	guwahati	guwahati	NOUN
esrj-119576	158	12	station	station	NOUN
esrj-119576	158	13	for	for	ADP
esrj-119576	158	14	january	january	PROPN
esrj-119576	158	15	,	,	PUNCT
esrj-119576	158	16	february	february	PROPN
esrj-119576	158	17	and	and	CCONJ
esrj-119576	158	18	march	march	PROPN
esrj-119576	158	19	month	month	NOUN
esrj-119576	158	20	estimates	estimate	NOUN
esrj-119576	158	21	months	month	NOUN
esrj-119576	158	22	distribution	distribution	NOUN
esrj-119576	158	23	shape1	shape1	NOUN
esrj-119576	158	24	shape2	shape2	PROPN
esrj-119576	158	25	location	location	NOUN
esrj-119576	158	26	scale	scale	NOUN
esrj-119576	158	27	january	january	PROPN
esrj-119576	158	28	gamma	gamma	PROPN
esrj-119576	158	29	0.2525	0.2525	NUM
esrj-119576	158	30	0.0221	0.0221	NUM
esrj-119576	158	31	logistics	logistic	NOUN
esrj-119576	158	32	9.1336	9.1336	NUM
esrj-119576	158	33	6.9780	6.9780	NUM
esrj-119576	158	34	exponential	exponential	NOUN
esrj-119576	158	35	0.0878	0.0878	NUM
esrj-119576	158	36	gumbel	gumbel	NOUN
esrj-119576	158	37	5.7015	5.7015	NUM
esrj-119576	158	38	8.4914	8.4914	NUM
esrj-119576	158	39	weibull	weibull	NOUN
esrj-119576	158	40	0.3485	0.3485	NUM
esrj-119576	158	41	5.0727	5.0727	NUM
esrj-119576	158	42	log	log	NOUN
esrj-119576	158	43	-	-	PUNCT
esrj-119576	158	44	normal	normal	ADJ
esrj-119576	158	45	0.3758	0.3758	NUM
esrj-119576	158	46	4.7371	4.7371	NUM
esrj-119576	158	47	pearson	pearson	NOUN
esrj-119576	158	48	0	0	NUM
esrj-119576	158	49	11.3868	11.3868	NUM
esrj-119576	158	50	14.9043	14.9043	NUM
esrj-119576	158	51	pearson	pearson	NOUN
esrj-119576	158	52	i	i	PRON
esrj-119576	158	53	0.4280	0.4280	NUM
esrj-119576	158	54	8.4427	8.4427	NUM
esrj-119576	158	55	0.0001	0.0001	NUM
esrj-119576	158	56	223.9029	223.9029	NUM
esrj-119576	158	57	pearson	pearson	PROPN
esrj-119576	158	58	iii	iii	PROPN
esrj-119576	158	59	0.6068	0.6068	NUM
esrj-119576	158	60	0.0001	0.0001	NUM
esrj-119576	158	61	17.3831	17.3831	NUM
esrj-119576	158	62	pearson	pearson	PROPN
esrj-119576	158	63	v	v	ADP
esrj-119576	158	64	2.09e-01	2.09e-01	NUM
esrj-119576	158	65	1.00e-04	1.00e-04	NUM
esrj-119576	158	66	1.95e-14	1.95e-14	NUM
esrj-119576	158	67	february	february	PROPN
esrj-119576	158	68	gamma	gamma	PROPN
esrj-119576	158	69	0.4177	0.4177	NUM
esrj-119576	158	70	0.0210	0.0210	NUM
esrj-119576	158	71	logistic	logistic	ADJ
esrj-119576	158	72	17.2762	17.2762	NUM
esrj-119576	158	73	9.9634	9.9634	NUM
esrj-119576	158	74	exponential	exponential	NOUN
esrj-119576	158	75	0.0504	0.0504	NUM
esrj-119576	158	76	gumbel	gumbel	PROPN
esrj-119576	158	77	11.7239	11.7239	NUM
esrj-119576	158	78	12.7800	12.7800	NUM
esrj-119576	158	79	weibull	weibull	PROPN
esrj-119576	158	80	0.5721	0.5721	NUM
esrj-119576	158	81	15.6152	15.6152	NUM
esrj-119576	158	82	log	log	NOUN
esrj-119576	158	83	-	-	PUNCT
esrj-119576	158	84	normal	normal	ADJ
esrj-119576	158	85	1.4234	1.4234	NUM
esrj-119576	158	86	3.7790	3.7790	NUM
esrj-119576	158	87	pearson	pearson	NOUN
esrj-119576	158	88	0	0	NUM
esrj-119576	158	89	19.8421	19.8421	NUM
esrj-119576	158	90	19.5499	19.5499	NUM
esrj-119576	158	91	pearson	pearson	NOUN
esrj-119576	158	92	i	i	PRON
esrj-119576	158	93	0.7961	0.7961	NUM
esrj-119576	158	94	13.3457	13.3457	NUM
esrj-119576	158	95	0.0001	0.0001	NUM
esrj-119576	158	96	320.231	320.231	NUM
esrj-119576	158	97	pearson	pearson	PROPN
esrj-119576	158	98	iii	iii	PROPN
esrj-119576	158	99	0.9681	0.9681	NUM
esrj-119576	158	100	0.0001	0.0001	NUM
esrj-119576	158	101	16.1597	16.1597	NUM
esrj-119576	158	102	pearson	pearson	NOUN
esrj-119576	158	103	v	v	ADP
esrj-119576	158	104	3.1893	3.1893	NUM
esrj-119576	158	105	-10.2752	-10.2752	NUM
esrj-119576	158	106	68.1229	68.1229	NUM
esrj-119576	158	107	march	march	NOUN
esrj-119576	158	108	gamma	gamma	NOUN
esrj-119576	158	109	1.5351	1.5351	NUM
esrj-119576	158	110	0.0294	0.0294	NUM
esrj-119576	158	111	logistic	logistic	ADJ
esrj-119576	158	112	47.3156	47.3156	NUM
esrj-119576	158	113	22.5857	22.5857	NUM
esrj-119576	158	114	exponential	exponential	NOUN
esrj-119576	158	115	0.0191	0.0191	NUM
esrj-119576	158	116	gumbel	gumbel	PROPN
esrj-119576	158	117	34.2173	34.2173	NUM
esrj-119576	158	118	28.9744	28.9744	NUM
esrj-119576	158	119	weibull	weibull	PROPN
esrj-119576	158	120	1.3049	1.3049	NUM
esrj-119576	158	121	56.5877	56.5877	NUM
esrj-119576	158	122	log	log	NOUN
esrj-119576	158	123	-	-	PUNCT
esrj-119576	158	124	normal	normal	ADJ
esrj-119576	158	125	3.5949	3.5949	NUM
esrj-119576	158	126	0.9391	0.9391	NUM
esrj-119576	158	127	pearson	pearson	NOUN
esrj-119576	158	128	0	0	NUM
esrj-119576	158	129	52.1789	52.1789	NUM
esrj-119576	158	130	40.0078	40.0078	NUM
esrj-119576	158	131	pearson	pearson	NOUN
esrj-119576	158	132	i	i	PRON
esrj-119576	158	133	0.7492	0.7492	NUM
esrj-119576	159	1	1.918	1.918	NUM
esrj-119576	159	2	3.8	3.8	NUM
esrj-119576	159	3	173.9859	173.9859	NUM
esrj-119576	159	4	pearson	pearson	PROPN
esrj-119576	159	5	iii	iii	PROPN
esrj-119576	159	6	0.9922	0.9922	NUM
esrj-119576	159	7	3.8	3.8	NUM
esrj-119576	159	8	47.0663	47.0663	NUM
esrj-119576	159	9	pearson	pearson	NOUN
esrj-119576	159	10	v	v	ADP
esrj-119576	159	11	36.4221	36.4221	NUM
esrj-119576	159	12	-166.352	-166.352	PUNCT
esrj-119576	159	13	7729.309	7729.309	NUM
esrj-119576	159	14	table	table	NOUN
esrj-119576	159	15	5	5	NUM
esrj-119576	159	16	represents	represent	VERB
esrj-119576	159	17	all	all	DET
esrj-119576	159	18	the	the	DET
esrj-119576	159	19	estimates	estimate	NOUN
esrj-119576	159	20	of	of	ADP
esrj-119576	159	21	parameters	parameter	NOUN
esrj-119576	159	22	i.e.	i.e.	X
esrj-119576	159	23	shape	shape	NOUN
esrj-119576	159	24	parameter	parameter	NOUN
esrj-119576	159	25	α	α	PROPN
esrj-119576	159	26	,	,	PUNCT
esrj-119576	159	27	a	a	DET
esrj-119576	159	28	,	,	PUNCT
esrj-119576	159	29	b	b	NOUN
esrj-119576	159	30	,	,	PUNCT
esrj-119576	159	31	,	,	PUNCT
esrj-119576	159	32	scale	scale	NOUN
esrj-119576	159	33	parameter	parameter	NOUN
esrj-119576	159	34	β	β	X
esrj-119576	159	35	and	and	CCONJ
esrj-119576	159	36	location	location	NOUN
esrj-119576	159	37	parameter	parameter	PROPN
esrj-119576	159	38	μ	μ	PROPN
esrj-119576	159	39	for	for	ADP
esrj-119576	159	40	january	january	PROPN
esrj-119576	159	41	,	,	PUNCT
esrj-119576	159	42	february	february	PROPN
esrj-119576	159	43	and	and	CCONJ
esrj-119576	159	44	march	march	PROPN
esrj-119576	159	45	month	month	NOUN
esrj-119576	159	46	considering	consider	VERB
esrj-119576	159	47	rainfall	rainfall	NOUN
esrj-119576	159	48	data	datum	NOUN
esrj-119576	159	49	for	for	ADP
esrj-119576	159	50	the	the	DET
esrj-119576	159	51	period	period	NOUN
esrj-119576	159	52	of	of	ADP
esrj-119576	159	53	1985	1985	NUM
esrj-119576	159	54	-	-	SYM
esrj-119576	159	55	2022	2022	NUM
esrj-119576	159	56	in	in	ADP
esrj-119576	159	57	guwahati	guwahati	PROPN
esrj-119576	159	58	station	station	NOUN
esrj-119576	159	59	.	.	PUNCT
esrj-119576	160	1	table	table	NOUN
esrj-119576	160	2	6	6	NUM
esrj-119576	160	3	represents	represent	VERB
esrj-119576	160	4	probability	probability	NOUN
esrj-119576	160	5	distribution	distribution	NOUN
esrj-119576	160	6	fitting	fitting	ADJ
esrj-119576	160	7	of	of	ADP
esrj-119576	160	8	monthly	monthly	ADJ
esrj-119576	160	9	total	total	ADJ
esrj-119576	160	10	rainfall	rainfall	NOUN
esrj-119576	160	11	in	in	ADP
esrj-119576	160	12	guwahati	guwahati	NOUN
esrj-119576	160	13	station	station	NOUN
esrj-119576	160	14	monthly	monthly	ADV
esrj-119576	160	15	for	for	ADP
esrj-119576	160	16	january	january	PROPN
esrj-119576	160	17	,	,	PUNCT
esrj-119576	160	18	february	february	PROPN
esrj-119576	160	19	and	and	CCONJ
esrj-119576	160	20	march	march	PROPN
esrj-119576	160	21	month	month	NOUN
esrj-119576	160	22	.	.	PUNCT
esrj-119576	161	1	it	it	PRON
esrj-119576	161	2	elaborates	elaborate	VERB
esrj-119576	161	3	parameters	parameter	NOUN
esrj-119576	161	4	for	for	ADP
esrj-119576	161	5	each	each	DET
esrj-119576	161	6	distribution	distribution	NOUN
esrj-119576	161	7	and	and	CCONJ
esrj-119576	161	8	comparison	comparison	NOUN
esrj-119576	161	9	criteria	criterion	NOUN
esrj-119576	161	10	’s	’s	PART
esrj-119576	161	11	i.e.	i.e.	X
esrj-119576	161	12	-2logl	-2logl	X
esrj-119576	161	13	(	(	PUNCT
esrj-119576	161	14	log	log	NOUN
esrj-119576	161	15	likelihood	likelihood	NOUN
esrj-119576	161	16	)	)	PUNCT
esrj-119576	161	17	,	,	PUNCT
esrj-119576	161	18	aic	aic	PROPN
esrj-119576	161	19	(	(	PUNCT
esrj-119576	161	20	akaike	akaike	ADJ
esrj-119576	161	21	information	information	NOUN
esrj-119576	161	22	criterion	criterion	NOUN
esrj-119576	161	23	)	)	PUNCT
esrj-119576	161	24	,	,	PUNCT
esrj-119576	161	25	bic	bic	PROPN
esrj-119576	161	26	(	(	PUNCT
esrj-119576	161	27	bayesian	bayesian	NOUN
esrj-119576	161	28	information	information	NOUN
esrj-119576	161	29	criterion	criterion	NOUN
esrj-119576	161	30	)	)	PUNCT
esrj-119576	161	31	,	,	PUNCT
esrj-119576	161	32	k	k	PROPN
esrj-119576	161	33	-	-	PUNCT
esrj-119576	161	34	s	s	NOUN
esrj-119576	161	35	value	value	NOUN
esrj-119576	161	36	and	and	CCONJ
esrj-119576	161	37	p	p	NOUN
esrj-119576	161	38	-	-	PUNCT
esrj-119576	161	39	value	value	NOUN
esrj-119576	161	40	.	.	PUNCT
esrj-119576	162	1	fitting	fit	VERB
esrj-119576	162	2	of	of	ADP
esrj-119576	162	3	best	good	ADJ
esrj-119576	162	4	probability	probability	NOUN
esrj-119576	162	5	distribution	distribution	NOUN
esrj-119576	162	6	on	on	ADP
esrj-119576	162	7	a	a	DET
esrj-119576	162	8	data	data	NOUN
esrj-119576	162	9	set	set	NOUN
esrj-119576	162	10	may	may	AUX
esrj-119576	162	11	be	be	AUX
esrj-119576	162	12	characterised	characterise	VERB
esrj-119576	162	13	as	as	ADP
esrj-119576	162	14	finding	find	VERB
esrj-119576	162	15	the	the	DET
esrj-119576	162	16	distribution	distribution	NOUN
esrj-119576	162	17	with	with	ADP
esrj-119576	162	18	the	the	DET
esrj-119576	162	19	lowest	low	ADJ
esrj-119576	162	20	values	value	NOUN
esrj-119576	162	21	of	of	ADP
esrj-119576	162	22	-2logl	-2logl	NOUN
esrj-119576	162	23	,	,	PUNCT
esrj-119576	162	24	aic	aic	PROPN
esrj-119576	162	25	,	,	PUNCT
esrj-119576	162	26	bic	bic	PROPN
esrj-119576	162	27	,	,	PUNCT
esrj-119576	162	28	and	and	CCONJ
esrj-119576	162	29	k	k	PROPN
esrj-119576	162	30	-	-	PUNCT
esrj-119576	162	31	s	s	PART
esrj-119576	162	32	values	value	NOUN
esrj-119576	162	33	.	.	PUNCT
esrj-119576	163	1	here	here	ADV
esrj-119576	163	2	p	p	X
esrj-119576	163	3	-	-	PUNCT
esrj-119576	163	4	value	value	NOUN
esrj-119576	163	5	plays	play	VERB
esrj-119576	163	6	very	very	ADV
esrj-119576	163	7	significant	significant	ADJ
esrj-119576	163	8	role	role	NOUN
esrj-119576	163	9	,	,	PUNCT
esrj-119576	163	10	since	since	SCONJ
esrj-119576	163	11	by	by	ADP
esrj-119576	163	12	having	have	VERB
esrj-119576	163	13	greater	great	ADJ
esrj-119576	163	14	value	value	NOUN
esrj-119576	163	15	than	than	ADP
esrj-119576	163	16	0.05	0.05	NUM
esrj-119576	163	17	represents	represent	VERB
esrj-119576	163	18	the	the	DET
esrj-119576	163	19	data	data	NOUN
esrj-119576	163	20	follows	follow	VERB
esrj-119576	163	21	the	the	DET
esrj-119576	163	22	required	require	VERB
esrj-119576	163	23	distribution	distribution	NOUN
esrj-119576	163	24	.	.	PUNCT
esrj-119576	164	1	the	the	DET
esrj-119576	164	2	findings	finding	NOUN
esrj-119576	164	3	of	of	ADP
esrj-119576	164	4	the	the	DET
esrj-119576	164	5	k	k	PROPN
esrj-119576	164	6	-	-	PUNCT
esrj-119576	164	7	s	s	PART
esrj-119576	164	8	test	test	NOUN
esrj-119576	164	9	indicate	indicate	VERB
esrj-119576	164	10	that	that	SCONJ
esrj-119576	164	11	the	the	DET
esrj-119576	164	12	rainfall	rainfall	NOUN
esrj-119576	164	13	data	datum	NOUN
esrj-119576	164	14	for	for	ADP
esrj-119576	164	15	january	january	PROPN
esrj-119576	164	16	at	at	ADP
esrj-119576	164	17	the	the	DET
esrj-119576	164	18	guwahati	guwahati	NOUN
esrj-119576	164	19	station	station	NOUN
esrj-119576	164	20	does	do	AUX
esrj-119576	164	21	not	not	PART
esrj-119576	164	22	follow	follow	VERB
esrj-119576	164	23	the	the	DET
esrj-119576	164	24	gamma	gamma	NOUN
esrj-119576	164	25	,	,	PUNCT
esrj-119576	164	26	exponential	exponential	NOUN
esrj-119576	164	27	,	,	PUNCT
esrj-119576	164	28	log	log	NOUN
esrj-119576	164	29	-	-	PUNCT
esrj-119576	164	30	normal	normal	ADJ
esrj-119576	164	31	,	,	PUNCT
esrj-119576	164	32	or	or	CCONJ
esrj-119576	164	33	pearson	pearson	PROPN
esrj-119576	164	34	0	0	PROPN
esrj-119576	164	35	and	and	CCONJ
esrj-119576	164	36	v	v	NOUN
esrj-119576	164	37	distributions	distribution	NOUN
esrj-119576	164	38	,	,	PUNCT
esrj-119576	164	39	as	as	SCONJ
esrj-119576	164	40	their	their	PRON
esrj-119576	164	41	p	p	NOUN
esrj-119576	164	42	-	-	PUNCT
esrj-119576	164	43	values	value	NOUN
esrj-119576	164	44	are	be	AUX
esrj-119576	164	45	less	less	ADJ
esrj-119576	164	46	than	than	ADP
esrj-119576	164	47	0.05	0.05	NUM
esrj-119576	164	48	.	.	PUNCT
esrj-119576	165	1	in	in	ADP
esrj-119576	165	2	contrast	contrast	NOUN
esrj-119576	165	3	,	,	PUNCT
esrj-119576	165	4	the	the	DET
esrj-119576	165	5	data	datum	NOUN
esrj-119576	165	6	does	do	AUX
esrj-119576	165	7	conform	conform	VERB
esrj-119576	165	8	to	to	ADP
esrj-119576	165	9	the	the	DET
esrj-119576	165	10	logistic	logistic	NOUN
esrj-119576	165	11	,	,	PUNCT
esrj-119576	165	12	weibull	weibull	PROPN
esrj-119576	165	13	,	,	PUNCT
esrj-119576	165	14	pearson	pearson	PROPN
esrj-119576	165	15	type	type	PROPN
esrj-119576	165	16	i	i	PROPN
esrj-119576	165	17	,	,	PUNCT
esrj-119576	165	18	and	and	CCONJ
esrj-119576	165	19	pearson	pearson	PROPN
esrj-119576	165	20	type	type	PROPN
esrj-119576	165	21	iii	iii	NUM
esrj-119576	165	22	distributions	distribution	NOUN
esrj-119576	165	23	since	since	SCONJ
esrj-119576	165	24	their	their	PRON
esrj-119576	165	25	p	p	NOUN
esrj-119576	165	26	-	-	PUNCT
esrj-119576	165	27	values	value	NOUN
esrj-119576	165	28	are	be	AUX
esrj-119576	165	29	greater	great	ADJ
esrj-119576	165	30	than	than	ADP
esrj-119576	165	31	0.05	0.05	NUM
esrj-119576	165	32	.	.	PUNCT
esrj-119576	166	1	among	among	ADP
esrj-119576	166	2	the	the	DET
esrj-119576	166	3	followed	follow	VERB
esrj-119576	166	4	distribution	distribution	NOUN
esrj-119576	166	5	by	by	ADP
esrj-119576	166	6	january	january	PROPN
esrj-119576	166	7	month	month	NOUN
esrj-119576	166	8	,	,	PUNCT
esrj-119576	166	9	pearson	pearson	PROPN
esrj-119576	166	10	i	i	PRON
esrj-119576	166	11	distribution	distribution	NOUN
esrj-119576	166	12	has	have	AUX
esrj-119576	166	13	least	least	ADJ
esrj-119576	166	14	-2logl	-2logl	X
esrj-119576	166	15	(	(	PUNCT
esrj-119576	166	16	14.5150	14.5150	NUM
esrj-119576	166	17	)	)	PUNCT
esrj-119576	166	18	,	,	PUNCT
esrj-119576	166	19	aic	aic	PROPN
esrj-119576	166	20	(	(	PUNCT
esrj-119576	166	21	22.1151	22.1151	NUM
esrj-119576	166	22	)	)	PUNCT
esrj-119576	166	23	,	,	PUNCT
esrj-119576	166	24	bic	bic	PROPN
esrj-119576	166	25	(	(	PUNCT
esrj-119576	166	26	29.0654	29.0654	NUM
esrj-119576	166	27	)	)	PUNCT
esrj-119576	166	28	,	,	PUNCT
esrj-119576	166	29	k	k	PROPN
esrj-119576	166	30	-	-	PUNCT
esrj-119576	166	31	s	s	PRON
esrj-119576	166	32	value	value	NOUN
esrj-119576	166	33	(	(	PUNCT
esrj-119576	166	34	0.2105	0.2105	NUM
esrj-119576	166	35	)	)	PUNCT
esrj-119576	166	36	and	and	CCONJ
esrj-119576	166	37	p	p	NOUN
esrj-119576	166	38	-	-	PUNCT
esrj-119576	166	39	value	value	NOUN
esrj-119576	166	40	is	be	AUX
esrj-119576	166	41	0.0589	0.0589	NUM
esrj-119576	166	42	,	,	PUNCT
esrj-119576	166	43	which	which	PRON
esrj-119576	166	44	is	be	AUX
esrj-119576	166	45	greater	great	ADJ
esrj-119576	166	46	than	than	ADP
esrj-119576	166	47	0.05	0.05	NUM
esrj-119576	166	48	which	which	PRON
esrj-119576	166	49	indicates	indicate	VERB
esrj-119576	166	50	that	that	SCONJ
esrj-119576	166	51	the	the	DET
esrj-119576	166	52	data	data	NOUN
esrj-119576	166	53	points	point	NOUN
esrj-119576	166	54	satisfy	satisfy	VERB
esrj-119576	166	55	the	the	DET
esrj-119576	166	56	null	null	ADJ
esrj-119576	166	57	hypothesis	hypothesis	NOUN
esrj-119576	166	58	i.e.	i.e.	X
esrj-119576	166	59	the	the	DET
esrj-119576	166	60	data	data	NOUN
esrj-119576	166	61	points	point	NOUN
esrj-119576	166	62	of	of	ADP
esrj-119576	166	63	january	january	PROPN
esrj-119576	166	64	month	month	PROPN
esrj-119576	166	65	follow	follow	NOUN
esrj-119576	166	66	pearson	pearson	NOUN
esrj-119576	166	67	i	i	PRON
esrj-119576	166	68	distribution	distribution	NOUN
esrj-119576	166	69	.	.	PUNCT
esrj-119576	167	1	likewise	likewise	ADV
esrj-119576	167	2	,	,	PUNCT
esrj-119576	167	3	interpretation	interpretation	NOUN
esrj-119576	167	4	can	can	AUX
esrj-119576	167	5	be	be	AUX
esrj-119576	167	6	elaborated	elaborate	VERB
esrj-119576	167	7	for	for	ADP
esrj-119576	167	8	remaining	remain	VERB
esrj-119576	167	9	months	month	NOUN
esrj-119576	167	10	also	also	ADV
esrj-119576	167	11	.	.	PUNCT
esrj-119576	168	1	369fitting	369fitting	NOUN
esrj-119576	168	2	of	of	ADP
esrj-119576	168	3	statistical	statistical	ADJ
esrj-119576	168	4	distribution	distribution	NOUN
esrj-119576	168	5	in	in	ADP
esrj-119576	168	6	assessing	assess	VERB
esrj-119576	168	7	rainfall	rainfall	NOUN
esrj-119576	168	8	patterns	pattern	NOUN
esrj-119576	168	9	across	across	ADP
esrj-119576	168	10	various	various	ADJ
esrj-119576	168	11	zones	zone	NOUN
esrj-119576	168	12	of	of	ADP
esrj-119576	168	13	assam	assam	PROPN
esrj-119576	168	14	,	,	PUNCT
esrj-119576	168	15	india	india	PROPN
esrj-119576	168	16	table	table	NOUN
esrj-119576	168	17	6	6	NUM
esrj-119576	168	18	.	.	PUNCT
esrj-119576	168	19	criteria	criterion	NOUN
esrj-119576	168	20	for	for	ADP
esrj-119576	168	21	comparison	comparison	NOUN
esrj-119576	168	22	of	of	ADP
esrj-119576	168	23	probability	probability	NOUN
esrj-119576	168	24	distribution	distribution	NOUN
esrj-119576	168	25	fitting	fitting	ADJ
esrj-119576	168	26	of	of	ADP
esrj-119576	168	27	total	total	ADJ
esrj-119576	168	28	monthly	monthly	ADJ
esrj-119576	168	29	rainfall	rainfall	NOUN
esrj-119576	168	30	in	in	ADP
esrj-119576	168	31	guwahati	guwahati	NOUN
esrj-119576	168	32	station	station	NOUN
esrj-119576	168	33	for	for	ADP
esrj-119576	168	34	january	january	PROPN
esrj-119576	168	35	,	,	PUNCT
esrj-119576	168	36	february	february	PROPN
esrj-119576	168	37	and	and	CCONJ
esrj-119576	168	38	march	march	PROPN
esrj-119576	168	39	criteria	criterion	NOUN
esrj-119576	168	40	for	for	ADP
esrj-119576	168	41	comparison	comparison	NOUN
esrj-119576	168	42	months	month	NOUN
esrj-119576	168	43	distribution	distribution	NOUN
esrj-119576	168	44	-2logl	-2logl	PRON
esrj-119576	168	45	aic	aic	PROPN
esrj-119576	168	46	bic	bic	PROPN
esrj-119576	168	47	ks	ks	PROPN
esrj-119576	168	48	-	-	PUNCT
esrj-119576	168	49	value	value	NOUN
esrj-119576	168	50	p	p	NOUN
esrj-119576	168	51	-	-	PUNCT
esrj-119576	168	52	value	value	NOUN
esrj-119576	168	53	january	january	PROPN
esrj-119576	168	54	gamma	gamma	NOUN
esrj-119576	168	55	168.0214	168.0214	NUM
esrj-119576	168	56	172.0214	172.0214	NUM
esrj-119576	168	57	175.2966	175.2966	NUM
esrj-119576	168	58	0.2213	0.2213	NUM
esrj-119576	168	59	0.0482	0.0482	NUM
esrj-119576	168	60	logistic	logistic	ADJ
esrj-119576	168	61	302.6070	302.6070	NUM
esrj-119576	168	62	306.607	306.607	NUM
esrj-119576	168	63	309.8821	309.8821	NUM
esrj-119576	168	64	0.2126	0.2126	NUM
esrj-119576	168	65	0.0643	0.0643	NUM
esrj-119576	168	66	exponential	exponential	ADJ
esrj-119576	168	67	260.8668	260.8668	NUM
esrj-119576	168	68	262.8668	262.8668	NUM
esrj-119576	168	69	264.5044	264.5044	NUM
esrj-119576	168	70	0.2479	0.2479	NUM
esrj-119576	168	71	0.0187	0.0187	NUM
esrj-119576	168	72	gumbel	gumbel	PROPN
esrj-119576	168	73	289.4652	289.4652	NUM
esrj-119576	168	74	293.4652	293.4652	NUM
esrj-119576	168	75	296.7404	296.7404	NUM
esrj-119576	168	76	0.1681	0.1681	NUM
esrj-119576	168	77	0.2331	0.2331	NUM
esrj-119576	168	78	weibull	weibull	NOUN
esrj-119576	168	79	180.5210	180.5210	NUM
esrj-119576	168	80	184.521	184.521	NUM
esrj-119576	168	81	187.7962	187.7962	NUM
esrj-119576	168	82	0.217	0.217	NUM
esrj-119576	168	83	0.0557	0.0557	NUM
esrj-119576	168	84	log	log	NOUN
esrj-119576	168	85	-	-	PUNCT
esrj-119576	168	86	normal	normal	ADJ
esrj-119576	168	87	197.4897	197.4897	NUM
esrj-119576	168	88	201.4897	201.4897	NUM
esrj-119576	168	89	204.7649	204.7649	NUM
esrj-119576	168	90	0.2482	0.2482	NUM
esrj-119576	168	91	0.0185	0.0185	NUM
esrj-119576	168	92	pearson	pearson	NOUN
esrj-119576	168	93	0	0	NUM
esrj-119576	169	1	313.1651	313.1651	NUM
esrj-119576	169	2	317.1651	317.1651	NUM
esrj-119576	169	3	320.4403	320.4403	NUM
esrj-119576	169	4	0.2224	0.2224	NUM
esrj-119576	169	5	0.0392	0.0392	NUM
esrj-119576	169	6	pearson	pearson	NOUN
esrj-119576	169	7	i	i	PRON
esrj-119576	169	8	14.5150	14.5150	NUM
esrj-119576	169	9	22.1151	22.1151	NUM
esrj-119576	169	10	29.0654	29.0654	NUM
esrj-119576	169	11	0.2105	0.2105	NUM
esrj-119576	169	12	0.0589	0.0589	NUM
esrj-119576	169	13	pearson	pearson	PROPN
esrj-119576	169	14	iii	iii	PROPN
esrj-119576	169	15	70.9679	70.9679	NUM
esrj-119576	169	16	76.9679	76.9679	NUM
esrj-119576	169	17	81.8807	81.8807	NUM
esrj-119576	169	18	0.2105	0.2105	NUM
esrj-119576	169	19	0.0589	0.0589	NUM
esrj-119576	169	20	pearson	pearson	NOUN
esrj-119576	169	21	v	v	ADP
esrj-119576	169	22	164.1624	164.1624	NUM
esrj-119576	169	23	170.1624	170.1624	NUM
esrj-119576	169	24	175.0751	175.0751	NUM
esrj-119576	169	25	0.7874	0.7874	NUM
esrj-119576	169	26	2.22e-16	2.22e-16	NUM
esrj-119576	169	27	february	february	PROPN
esrj-119576	169	28	gamma	gamma	NOUN
esrj-119576	169	29	274.4866	274.4866	NUM
esrj-119576	170	1	278.4867	278.4867	NUM
esrj-119576	170	2	281.7618	281.7618	NUM
esrj-119576	170	3	0.2197	0.2197	NUM
esrj-119576	170	4	0.051	0.051	NUM
esrj-119576	170	5	logistic	logistic	ADJ
esrj-119576	170	6	328.2530	328.2530	NUM
esrj-119576	170	7	332.2529	332.2529	NUM
esrj-119576	170	8	335.5281	335.5281	NUM
esrj-119576	170	9	0.1500	0.1500	NUM
esrj-119576	170	10	0.3589	0.3589	NUM
esrj-119576	170	11	exponential	exponential	NOUN
esrj-119576	170	12	303.0732	303.0732	NUM
esrj-119576	170	13	305.0733	305.0733	NUM
esrj-119576	170	14	306.7109	306.7109	NUM
esrj-119576	170	15	0.1052	0.1052	NUM
esrj-119576	170	16	0.7937	0.7937	NUM
esrj-119576	170	17	gumbel	gumbel	NOUN
esrj-119576	170	18	317.9188	317.9188	NUM
esrj-119576	170	19	321.9187	321.9187	NUM
esrj-119576	170	20	325.1939	325.1939	NUM
esrj-119576	170	21	0.1173	0.1173	NUM
esrj-119576	170	22	0.6723	0.6723	NUM
esrj-119576	170	23	weibull	weibull	PROPN
esrj-119576	170	24	284.239	284.239	NUM
esrj-119576	170	25	288.2391	288.2391	NUM
esrj-119576	170	26	291.5143	291.5143	NUM
esrj-119576	170	27	0.2051	0.2051	NUM
esrj-119576	170	28	0.0815	0.0815	NUM
esrj-119576	170	29	log	log	NOUN
esrj-119576	170	30	-	-	PUNCT
esrj-119576	170	31	normal	normal	ADJ
esrj-119576	170	32	317.0596	317.0596	NUM
esrj-119576	170	33	321.0596	321.0596	NUM
esrj-119576	170	34	324.3348	324.3348	NUM
esrj-119576	170	35	0.3241	0.3241	NUM
esrj-119576	170	36	0.0006	0.0006	NUM
esrj-119576	170	37	pearson	pearson	NOUN
esrj-119576	170	38	0	0	PUNCT
esrj-119576	170	39	333.7851	333.7851	NUM
esrj-119576	170	40	337.7851	337.7851	NUM
esrj-119576	170	41	341.0603	341.0603	NUM
esrj-119576	170	42	0.1557	0.1557	NUM
esrj-119576	170	43	0.2894	0.2894	NUM
esrj-119576	170	44	pearson	pearson	NOUN
esrj-119576	170	45	i	i	PRON
esrj-119576	170	46	255.954	255.954	NUM
esrj-119576	170	47	263.954	263.954	NUM
esrj-119576	170	48	270.5044	270.5044	NUM
esrj-119576	170	49	0.1200	0.1200	NUM
esrj-119576	170	50	0.6014	0.6014	NUM
esrj-119576	170	51	pearson	pearson	NOUN
esrj-119576	170	52	iii	iii	NOUN
esrj-119576	170	53	297.6733	297.6733	NUM
esrj-119576	170	54	303.6733	303.6733	NUM
esrj-119576	170	55	308.586	308.586	NUM
esrj-119576	170	56	0.1567	0.1567	NUM
esrj-119576	170	57	0.2775	0.2775	NUM
esrj-119576	170	58	pearson	pearson	NOUN
esrj-119576	170	59	v	v	ADP
esrj-119576	170	60	312.9186	312.9186	NUM
esrj-119576	170	61	318.9186	318.9186	NUM
esrj-119576	170	62	323.8314	323.8314	NUM
esrj-119576	170	63	0.1008	0.1008	NUM
esrj-119576	170	64	0.7974	0.7974	NUM
esrj-119576	170	65	march	march	PROPN
esrj-119576	170	66	gamma	gamma	NOUN
esrj-119576	170	67	372.8106	372.8106	NUM
esrj-119576	170	68	376.8107	376.8107	NUM
esrj-119576	170	69	380.0859	380.0859	NUM
esrj-119576	170	70	0.0763	0.0763	NUM
esrj-119576	170	71	0.9676	0.9676	NUM
esrj-119576	170	72	logistic	logistic	ADJ
esrj-119576	170	73	388.5022	388.5022	NUM
esrj-119576	170	74	392.5022	392.5022	NUM
esrj-119576	170	75	395.7774	395.7774	NUM
esrj-119576	170	76	0.1271	0.1271	NUM
esrj-119576	170	77	0.5295	0.5295	NUM
esrj-119576	170	78	exponential	exponential	NOUN
esrj-119576	170	79	376.5556	376.5556	NUM
esrj-119576	170	80	378.5556	378.5556	NUM
esrj-119576	170	81	380.1932	380.1932	NUM
esrj-119576	170	82	0.1196	0.1196	NUM
esrj-119576	170	83	0.6061	0.6061	NUM
esrj-119576	170	84	gumbel	gumbel	NOUN
esrj-119576	170	85	378.9424	378.9424	NUM
esrj-119576	170	86	382.9424	382.9424	NUM
esrj-119576	170	87	386.2176	386.2176	NUM
esrj-119576	170	88	0.0952	0.0952	NUM
esrj-119576	170	89	0.8484	0.8484	NUM
esrj-119576	170	90	weibull	weibull	PROPN
esrj-119576	170	91	372.7302	372.7302	NUM
esrj-119576	170	92	376.7303	376.7303	NUM
esrj-119576	170	93	380.0055	380.0055	NUM
esrj-119576	170	94	0.0723	0.0723	NUM
esrj-119576	170	95	0.9803	0.9803	NUM
esrj-119576	170	96	log	log	NOUN
esrj-119576	170	97	-	-	PUNCT
esrj-119576	170	98	normal	normal	ADJ
esrj-119576	170	99	376.2848	376.2848	NUM
esrj-119576	170	100	380.2848	380.2848	NUM
esrj-119576	170	101	383.5600	383.5600	NUM
esrj-119576	170	102	0.0997	0.0997	NUM
esrj-119576	170	103	0.8085	0.8085	NUM
esrj-119576	170	104	pearson	pearson	NOUN
esrj-119576	170	105	0	0	NUM
esrj-119576	171	1	388.2091	388.2091	NUM
esrj-119576	171	2	392.2091	392.2091	NUM
esrj-119576	171	3	395.4843	395.4843	NUM
esrj-119576	171	4	0.1630	0.1630	NUM
esrj-119576	171	5	0.2372	0.2372	NUM
esrj-119576	171	6	pearson	pearson	NOUN
esrj-119576	171	7	i	i	PROPN
esrj-119576	171	8	354.6303	354.6303	NUM
esrj-119576	171	9	362.6303	362.6303	NUM
esrj-119576	171	10	369.1807	369.1807	NUM
esrj-119576	171	11	0.0914	0.0914	NUM
esrj-119576	171	12	0.8794	0.8794	NUM
esrj-119576	171	13	pearson	pearson	NOUN
esrj-119576	171	14	iii	iii	PROPN
esrj-119576	172	1	370.4733	370.4733	NUM
esrj-119576	172	2	376.4733	376.4733	NUM
esrj-119576	172	3	381.3861	381.3861	NUM
esrj-119576	172	4	0.1124	0.1124	NUM
esrj-119576	172	5	0.6805	0.6805	NUM
esrj-119576	172	6	pearson	pearson	NOUN
esrj-119576	172	7	v	v	ADP
esrj-119576	172	8	381.5386	381.5386	NUM
esrj-119576	172	9	387.5386	387.5386	NUM
esrj-119576	172	10	392.4513	392.4513	NUM
esrj-119576	172	11	0.11345	0.11345	NUM
esrj-119576	172	12	0.6704	0.6704	NUM
esrj-119576	172	13	the	the	DET
esrj-119576	172	14	criteria	criterion	NOUN
esrj-119576	172	15	for	for	ADP
esrj-119576	172	16	fitting	fitting	ADJ
esrj-119576	172	17	probability	probability	NOUN
esrj-119576	172	18	distribution	distribution	NOUN
esrj-119576	172	19	functions	function	NOUN
esrj-119576	172	20	,	,	PUNCT
esrj-119576	172	21	along	along	ADP
esrj-119576	172	22	with	with	ADP
esrj-119576	172	23	their	their	PRON
esrj-119576	172	24	best	good	ADJ
esrj-119576	172	25	parameter	parameter	NOUN
esrj-119576	172	26	estimates	estimate	NOUN
esrj-119576	172	27	,	,	PUNCT
esrj-119576	172	28	have	have	AUX
esrj-119576	172	29	been	be	AUX
esrj-119576	172	30	thoroughly	thoroughly	ADV
esrj-119576	172	31	discussed	discuss	VERB
esrj-119576	172	32	above	above	ADV
esrj-119576	172	33	for	for	ADP
esrj-119576	172	34	each	each	DET
esrj-119576	172	35	month	month	NOUN
esrj-119576	172	36	,	,	PUNCT
esrj-119576	172	37	supported	support	VERB
esrj-119576	172	38	by	by	ADP
esrj-119576	172	39	statistical	statistical	ADJ
esrj-119576	172	40	values	value	NOUN
esrj-119576	172	41	to	to	PART
esrj-119576	172	42	demonstrate	demonstrate	VERB
esrj-119576	172	43	their	their	PRON
esrj-119576	172	44	significance	significance	NOUN
esrj-119576	172	45	.	.	PUNCT
esrj-119576	173	1	the	the	DET
esrj-119576	173	2	graphical	graphical	ADJ
esrj-119576	173	3	representation	representation	NOUN
esrj-119576	173	4	of	of	ADP
esrj-119576	173	5	these	these	DET
esrj-119576	173	6	distributions	distribution	NOUN
esrj-119576	173	7	for	for	ADP
esrj-119576	173	8	any	any	DET
esrj-119576	173	9	given	give	VERB
esrj-119576	173	10	month	month	NOUN
esrj-119576	173	11	or	or	CCONJ
esrj-119576	173	12	season	season	NOUN
esrj-119576	173	13	can	can	AUX
esrj-119576	173	14	be	be	AUX
esrj-119576	173	15	effectively	effectively	ADV
esrj-119576	173	16	illustrated	illustrate	VERB
esrj-119576	173	17	using	use	VERB
esrj-119576	173	18	a	a	DET
esrj-119576	173	19	histogram	histogram	NOUN
esrj-119576	173	20	of	of	ADP
esrj-119576	173	21	the	the	DET
esrj-119576	173	22	raw	raw	ADJ
esrj-119576	173	23	data	datum	NOUN
esrj-119576	173	24	from	from	ADP
esrj-119576	173	25	the	the	DET
esrj-119576	173	26	corresponding	corresponding	ADJ
esrj-119576	173	27	period	period	NOUN
esrj-119576	173	28	,	,	PUNCT
esrj-119576	173	29	overlaid	overlay	VERB
esrj-119576	173	30	with	with	ADP
esrj-119576	173	31	line	line	NOUN
esrj-119576	173	32	plots	plot	NOUN
esrj-119576	173	33	for	for	ADP
esrj-119576	173	34	each	each	DET
esrj-119576	173	35	fitted	fit	VERB
esrj-119576	173	36	distribution	distribution	NOUN
esrj-119576	173	37	.	.	PUNCT
esrj-119576	174	1	in	in	ADP
esrj-119576	174	2	line	line	NOUN
esrj-119576	174	3	with	with	ADP
esrj-119576	174	4	this	this	DET
esrj-119576	174	5	approach	approach	NOUN
esrj-119576	174	6	,	,	PUNCT
esrj-119576	174	7	the	the	DET
esrj-119576	174	8	rainfall	rainfall	NOUN
esrj-119576	174	9	data	datum	NOUN
esrj-119576	174	10	for	for	ADP
esrj-119576	174	11	january	january	PROPN
esrj-119576	174	12	of	of	ADP
esrj-119576	174	13	guwahati	guwahati	PROPN
esrj-119576	174	14	station	station	NOUN
esrj-119576	174	15	can	can	AUX
esrj-119576	174	16	be	be	AUX
esrj-119576	174	17	depicted	depict	VERB
esrj-119576	174	18	graphically	graphically	ADV
esrj-119576	174	19	below	below	ADV
esrj-119576	174	20	,	,	PUNCT
esrj-119576	174	21	and	and	CCONJ
esrj-119576	174	22	this	this	DET
esrj-119576	174	23	procedure	procedure	NOUN
esrj-119576	174	24	can	can	AUX
esrj-119576	174	25	similarly	similarly	ADV
esrj-119576	174	26	be	be	AUX
esrj-119576	174	27	applied	apply	VERB
esrj-119576	174	28	to	to	ADP
esrj-119576	174	29	the	the	DET
esrj-119576	174	30	remaining	remain	VERB
esrj-119576	174	31	months	month	NOUN
esrj-119576	174	32	and	and	CCONJ
esrj-119576	174	33	seasons	season	NOUN
esrj-119576	174	34	for	for	SCONJ
esrj-119576	174	35	the	the	DET
esrj-119576	174	36	station	station	NOUN
esrj-119576	174	37	to	to	PART
esrj-119576	174	38	provide	provide	VERB
esrj-119576	174	39	a	a	DET
esrj-119576	174	40	comprehensive	comprehensive	ADJ
esrj-119576	174	41	visual	visual	ADJ
esrj-119576	174	42	analysis	analysis	NOUN
esrj-119576	174	43	.	.	PUNCT
esrj-119576	175	1	figure	figure	NOUN
esrj-119576	175	2	2	2	NUM
esrj-119576	175	3	represents	represent	VERB
esrj-119576	175	4	the	the	DET
esrj-119576	175	5	histogram	histogram	NOUN
esrj-119576	175	6	with	with	ADP
esrj-119576	175	7	multiple	multiple	ADJ
esrj-119576	175	8	line	line	NOUN
esrj-119576	175	9	diagrams	diagram	NOUN
esrj-119576	175	10	of	of	ADP
esrj-119576	175	11	ten	ten	NUM
esrj-119576	175	12	selected	select	VERB
esrj-119576	175	13	probability	probability	NOUN
esrj-119576	175	14	distribution	distribution	NOUN
esrj-119576	175	15	functions	function	NOUN
esrj-119576	175	16	on	on	ADP
esrj-119576	175	17	raw	raw	ADJ
esrj-119576	175	18	rainfall	rainfall	NOUN
esrj-119576	175	19	data	datum	NOUN
esrj-119576	175	20	of	of	ADP
esrj-119576	175	21	january	january	PROPN
esrj-119576	175	22	month	month	NOUN
esrj-119576	175	23	in	in	ADP
esrj-119576	175	24	guwahati	guwahati	NOUN
esrj-119576	175	25	station	station	NOUN
esrj-119576	175	26	just	just	ADV
esrj-119576	175	27	to	to	PART
esrj-119576	175	28	check	check	VERB
esrj-119576	175	29	the	the	DET
esrj-119576	175	30	suitability	suitability	NOUN
esrj-119576	175	31	of	of	ADP
esrj-119576	175	32	these	these	DET
esrj-119576	175	33	selected	select	VERB
esrj-119576	175	34	distributions	distribution	NOUN
esrj-119576	175	35	on	on	ADP
esrj-119576	175	36	rainfall	rainfall	NOUN
esrj-119576	175	37	data	datum	NOUN
esrj-119576	175	38	.	.	PUNCT
esrj-119576	176	1	it	it	PRON
esrj-119576	176	2	is	be	AUX
esrj-119576	176	3	distinctly	distinctly	ADV
esrj-119576	176	4	observed	observe	VERB
esrj-119576	176	5	that	that	SCONJ
esrj-119576	176	6	these	these	DET
esrj-119576	176	7	distributions	distribution	NOUN
esrj-119576	176	8	effectively	effectively	ADV
esrj-119576	176	9	characterize	characterize	VERB
esrj-119576	176	10	the	the	DET
esrj-119576	176	11	rainfall	rainfall	NOUN
esrj-119576	176	12	data	datum	NOUN
esrj-119576	176	13	for	for	ADP
esrj-119576	176	14	january	january	PROPN
esrj-119576	176	15	month	month	NOUN
esrj-119576	176	16	of	of	ADP
esrj-119576	176	17	guwahati	guwahati	PROPN
esrj-119576	176	18	station	station	NOUN
esrj-119576	176	19	,	,	PUNCT
esrj-119576	176	20	and	and	CCONJ
esrj-119576	176	21	this	this	DET
esrj-119576	176	22	approach	approach	NOUN
esrj-119576	176	23	can	can	AUX
esrj-119576	176	24	be	be	AUX
esrj-119576	176	25	systematically	systematically	ADV
esrj-119576	176	26	extended	extend	VERB
esrj-119576	176	27	to	to	PART
esrj-119576	176	28	encompass	encompass	VERB
esrj-119576	176	29	the	the	DET
esrj-119576	176	30	remaining	remain	VERB
esrj-119576	176	31	months	month	NOUN
esrj-119576	176	32	and	and	CCONJ
esrj-119576	176	33	the	the	DET
esrj-119576	176	34	rainfall	rainfall	NOUN
esrj-119576	176	35	records	record	NOUN
esrj-119576	176	36	of	of	ADP
esrj-119576	176	37	other	other	ADJ
esrj-119576	176	38	stations	station	NOUN
esrj-119576	176	39	also	also	ADV
esrj-119576	176	40	.	.	PUNCT
esrj-119576	177	1	figure	figure	NOUN
esrj-119576	177	2	3	3	NUM
esrj-119576	177	3	represents	represent	VERB
esrj-119576	177	4	a	a	DET
esrj-119576	177	5	q	q	ADJ
esrj-119576	177	6	-	-	PUNCT
esrj-119576	177	7	q	q	NOUN
esrj-119576	177	8	plot	plot	NOUN
esrj-119576	177	9	,	,	PUNCT
esrj-119576	177	10	which	which	PRON
esrj-119576	177	11	shows	show	VERB
esrj-119576	177	12	how	how	SCONJ
esrj-119576	177	13	the	the	DET
esrj-119576	177	14	quantiles	quantile	NOUN
esrj-119576	177	15	of	of	ADP
esrj-119576	177	16	two	two	NUM
esrj-119576	177	17	distributions	distribution	NOUN
esrj-119576	177	18	relate	relate	VERB
esrj-119576	177	19	,	,	PUNCT
esrj-119576	177	20	indicating	indicate	VERB
esrj-119576	177	21	if	if	SCONJ
esrj-119576	177	22	the	the	DET
esrj-119576	177	23	data	datum	NOUN
esrj-119576	177	24	follow	follow	VERB
esrj-119576	177	25	a	a	DET
esrj-119576	177	26	specific	specific	ADJ
esrj-119576	177	27	theoretical	theoretical	ADJ
esrj-119576	177	28	distribution	distribution	NOUN
esrj-119576	177	29	or	or	CCONJ
esrj-119576	177	30	share	share	VERB
esrj-119576	177	31	the	the	DET
esrj-119576	177	32	same	same	ADJ
esrj-119576	177	33	distribution	distribution	NOUN
esrj-119576	177	34	.	.	PUNCT
esrj-119576	178	1	gumbel	gumbel	PROPN
esrj-119576	178	2	(	(	PUNCT
esrj-119576	178	3	orange	orange	PROPN
esrj-119576	178	4	)	)	PUNCT
esrj-119576	178	5	fits	fit	VERB
esrj-119576	178	6	reasonably	reasonably	ADV
esrj-119576	178	7	well	well	ADV
esrj-119576	178	8	in	in	ADP
esrj-119576	178	9	the	the	DET
esrj-119576	178	10	middle	middle	NOUN
esrj-119576	178	11	but	but	CCONJ
esrj-119576	178	12	overestimates	overestimate	VERB
esrj-119576	178	13	at	at	ADP
esrj-119576	178	14	higher	high	ADJ
esrj-119576	178	15	quantiles	quantile	NOUN
esrj-119576	178	16	,	,	PUNCT
esrj-119576	178	17	with	with	ADP
esrj-119576	178	18	points	point	NOUN
esrj-119576	178	19	above	above	ADP
esrj-119576	178	20	the	the	DET
esrj-119576	178	21	line	line	NOUN
esrj-119576	178	22	.	.	PUNCT
esrj-119576	179	1	logistic	logistic	ADJ
esrj-119576	179	2	(	(	PUNCT
esrj-119576	179	3	blue	blue	ADJ
esrj-119576	179	4	)	)	PUNCT
esrj-119576	179	5	outperforms	outperform	VERB
esrj-119576	179	6	exponential	exponential	ADJ
esrj-119576	179	7	and	and	CCONJ
esrj-119576	179	8	gamma	gamma	NOUN
esrj-119576	179	9	,	,	PUNCT
esrj-119576	179	10	especially	especially	ADV
esrj-119576	179	11	in	in	ADP
esrj-119576	179	12	the	the	DET
esrj-119576	179	13	mid	mid	ADJ
esrj-119576	179	14	to	to	ADP
esrj-119576	179	15	upper	upper	ADJ
esrj-119576	179	16	range	range	NOUN
esrj-119576	179	17	,	,	PUNCT
esrj-119576	179	18	though	though	SCONJ
esrj-119576	179	19	some	some	DET
esrj-119576	179	20	deviations	deviation	NOUN
esrj-119576	179	21	remain	remain	VERB
esrj-119576	179	22	at	at	ADP
esrj-119576	179	23	the	the	DET
esrj-119576	179	24	extremes	extreme	NOUN
esrj-119576	179	25	.	.	PUNCT
esrj-119576	180	1	weibull	weibull	PROPN
esrj-119576	180	2	(	(	PUNCT
esrj-119576	180	3	brown	brown	PROPN
esrj-119576	180	4	)	)	PUNCT
esrj-119576	180	5	stays	stay	VERB
esrj-119576	180	6	close	close	ADV
esrj-119576	180	7	to	to	ADP
esrj-119576	180	8	the	the	DET
esrj-119576	180	9	line	line	NOUN
esrj-119576	180	10	in	in	ADP
esrj-119576	180	11	lower	low	ADJ
esrj-119576	180	12	to	to	ADP
esrj-119576	180	13	mid	mid	ADJ
esrj-119576	180	14	quantiles	quantile	NOUN
esrj-119576	180	15	but	but	CCONJ
esrj-119576	180	16	diverges	diverge	VERB
esrj-119576	180	17	upward	upward	ADV
esrj-119576	180	18	at	at	ADP
esrj-119576	180	19	higher	high	ADJ
esrj-119576	180	20	values	value	NOUN
esrj-119576	180	21	.	.	PUNCT
esrj-119576	181	1	p1	p1	PROPN
esrj-119576	181	2	/	/	SYM
esrj-119576	181	3	pearson	pearson	PROPN
esrj-119576	181	4	i	i	PRON
esrj-119576	181	5	(	(	PUNCT
esrj-119576	181	6	orange	orange	PROPN
esrj-119576	181	7	)	)	PUNCT
esrj-119576	181	8	aligns	align	VERB
esrj-119576	181	9	better	well	ADV
esrj-119576	181	10	than	than	ADP
esrj-119576	181	11	log	log	NOUN
esrj-119576	181	12	-	-	PUNCT
esrj-119576	181	13	normal	normal	ADJ
esrj-119576	181	14	(	(	PUNCT
esrj-119576	181	15	lgn	lgn	PROPN
esrj-119576	181	16	)	)	PUNCT
esrj-119576	181	17	and	and	CCONJ
esrj-119576	181	18	pearson	pearson	PROPN
esrj-119576	181	19	0	0	PROPN
esrj-119576	181	20	(	(	PUNCT
esrj-119576	181	21	p0	p0	NOUN
esrj-119576	181	22	)	)	PUNCT
esrj-119576	181	23	,	,	PUNCT
esrj-119576	181	24	but	but	CCONJ
esrj-119576	181	25	still	still	ADV
esrj-119576	181	26	deviates	deviate	VERB
esrj-119576	181	27	in	in	ADP
esrj-119576	181	28	mid	mid	NOUN
esrj-119576	181	29	-	-	NOUN
esrj-119576	181	30	probabilities	probability	NOUN
esrj-119576	181	31	.	.	PUNCT
esrj-119576	182	1	p3	p3	PROPN
esrj-119576	182	2	/	/	SYM
esrj-119576	182	3	pearson	pearson	PROPN
esrj-119576	182	4	iii	iii	PROPN
esrj-119576	182	5	(	(	PUNCT
esrj-119576	182	6	blue	blue	ADJ
esrj-119576	182	7	)	)	PUNCT
esrj-119576	182	8	remains	remain	VERB
esrj-119576	182	9	closer	close	ADJ
esrj-119576	182	10	to	to	ADP
esrj-119576	182	11	the	the	DET
esrj-119576	182	12	line	line	NOUN
esrj-119576	182	13	across	across	ADP
esrj-119576	182	14	most	most	ADJ
esrj-119576	182	15	of	of	ADP
esrj-119576	182	16	the	the	DET
esrj-119576	182	17	range	range	NOUN
esrj-119576	182	18	,	,	PUNCT
esrj-119576	182	19	especially	especially	ADV
esrj-119576	182	20	mid	mid	ADJ
esrj-119576	182	21	to	to	ADP
esrj-119576	182	22	upper	upper	ADJ
esrj-119576	182	23	probabilities	probability	NOUN
esrj-119576	182	24	,	,	PUNCT
esrj-119576	182	25	indicating	indicate	VERB
esrj-119576	182	26	a	a	DET
esrj-119576	182	27	better	well	ADJ
esrj-119576	182	28	fit	fit	NOUN
esrj-119576	182	29	.	.	PUNCT
esrj-119576	183	1	these	these	DET
esrj-119576	183	2	visual	visual	ADJ
esrj-119576	183	3	representations	representation	NOUN
esrj-119576	183	4	can	can	AUX
esrj-119576	183	5	also	also	ADV
esrj-119576	183	6	be	be	AUX
esrj-119576	183	7	summarised	summarise	VERB
esrj-119576	183	8	by	by	ADP
esrj-119576	183	9	test	test	NOUN
esrj-119576	183	10	statistics	statistic	NOUN
esrj-119576	183	11	.	.	PUNCT
esrj-119576	184	1	this	this	DET
esrj-119576	184	2	visual	visual	ADJ
esrj-119576	184	3	interpretation	interpretation	NOUN
esrj-119576	184	4	is	be	AUX
esrj-119576	184	5	nearly	nearly	ADV
esrj-119576	184	6	the	the	DET
esrj-119576	184	7	same	same	ADJ
esrj-119576	184	8	as	as	ADP
esrj-119576	184	9	the	the	DET
esrj-119576	184	10	interpretation	interpretation	NOUN
esrj-119576	184	11	of	of	ADP
esrj-119576	184	12	table	table	NOUN
esrj-119576	184	13	6	6	NUM
esrj-119576	184	14	,	,	PUNCT
esrj-119576	184	15	which	which	PRON
esrj-119576	184	16	shows	show	VERB
esrj-119576	184	17	various	various	ADJ
esrj-119576	184	18	criteria	criterion	NOUN
esrj-119576	184	19	for	for	ADP
esrj-119576	184	20	the	the	DET
esrj-119576	184	21	comparisons	comparison	NOUN
esrj-119576	184	22	of	of	ADP
esrj-119576	184	23	the	the	DET
esrj-119576	184	24	selected	select	VERB
esrj-119576	184	25	distribution	distribution	NOUN
esrj-119576	184	26	.	.	PUNCT
esrj-119576	185	1	370	370	NUM
esrj-119576	185	2	tanusree	tanusree	PROPN
esrj-119576	185	3	deb	deb	PROPN
esrj-119576	185	4	roy	roy	PROPN
esrj-119576	185	5	,	,	PUNCT
esrj-119576	185	6	dipanjali	dipanjali	PROPN
esrj-119576	185	7	ray	ray	PROPN
esrj-119576	185	8	,	,	PUNCT
esrj-119576	185	9	subhankar	subhankar	PROPN
esrj-119576	185	10	dutta	dutta	PROPN
esrj-119576	185	11	,	,	PUNCT
esrj-119576	185	12	and	and	CCONJ
esrj-119576	185	13	sebul	sebul	PROPN
esrj-119576	185	14	islam	islam	PROPN
esrj-119576	185	15	laskar	laskar	PROPN
esrj-119576	185	16	figure	figure	VERB
esrj-119576	185	17	4	4	NUM
esrj-119576	185	18	represents	represent	VERB
esrj-119576	185	19	a	a	DET
esrj-119576	185	20	p	p	NOUN
esrj-119576	185	21	-	-	PUNCT
esrj-119576	185	22	p	p	NOUN
esrj-119576	185	23	plot	plot	NOUN
esrj-119576	185	24	which	which	PRON
esrj-119576	185	25	compares	compare	VERB
esrj-119576	185	26	the	the	DET
esrj-119576	185	27	empirical	empirical	ADJ
esrj-119576	185	28	cumulative	cumulative	ADJ
esrj-119576	185	29	distribution	distribution	NOUN
esrj-119576	185	30	function	function	NOUN
esrj-119576	185	31	of	of	ADP
esrj-119576	185	32	january	january	PROPN
esrj-119576	185	33	data	data	PROPN
esrj-119576	185	34	to	to	ADP
esrj-119576	185	35	a	a	DET
esrj-119576	185	36	theoretical	theoretical	ADJ
esrj-119576	185	37	distribution	distribution	NOUN
esrj-119576	185	38	’s	’s	PART
esrj-119576	185	39	cumulative	cumulative	ADJ
esrj-119576	185	40	function	function	NOUN
esrj-119576	185	41	.	.	PUNCT
esrj-119576	186	1	its	its	PRON
esrj-119576	186	2	interpretation	interpretation	NOUN
esrj-119576	186	3	is	be	AUX
esrj-119576	186	4	similar	similar	ADJ
esrj-119576	186	5	to	to	ADP
esrj-119576	186	6	that	that	PRON
esrj-119576	186	7	of	of	ADP
esrj-119576	186	8	a	a	DET
esrj-119576	186	9	q	q	ADJ
esrj-119576	186	10	-	-	PUNCT
esrj-119576	186	11	q	q	NOUN
esrj-119576	186	12	plot	plot	NOUN
esrj-119576	186	13	.	.	PUNCT
esrj-119576	187	1	the	the	DET
esrj-119576	187	2	logistic	logistic	ADJ
esrj-119576	187	3	distribution	distribution	NOUN
esrj-119576	187	4	(	(	PUNCT
esrj-119576	187	5	blue	blue	ADJ
esrj-119576	187	6	)	)	PUNCT
esrj-119576	187	7	follows	follow	VERB
esrj-119576	187	8	the	the	DET
esrj-119576	187	9	reference	reference	NOUN
esrj-119576	187	10	line	line	NOUN
esrj-119576	187	11	more	more	ADV
esrj-119576	187	12	closely	closely	ADV
esrj-119576	187	13	,	,	PUNCT
esrj-119576	187	14	especially	especially	ADV
esrj-119576	187	15	in	in	ADP
esrj-119576	187	16	the	the	DET
esrj-119576	187	17	central	central	ADJ
esrj-119576	187	18	part	part	NOUN
esrj-119576	187	19	,	,	PUNCT
esrj-119576	187	20	but	but	CCONJ
esrj-119576	187	21	shows	show	VERB
esrj-119576	187	22	divergence	divergence	NOUN
esrj-119576	187	23	in	in	ADP
esrj-119576	187	24	the	the	DET
esrj-119576	187	25	tails	tail	NOUN
esrj-119576	187	26	.	.	PUNCT
esrj-119576	188	1	the	the	DET
esrj-119576	188	2	weibull	weibull	PROPN
esrj-119576	188	3	distribution	distribution	NOUN
esrj-119576	188	4	(	(	PUNCT
esrj-119576	188	5	brown	brown	NOUN
esrj-119576	188	6	)	)	PUNCT
esrj-119576	188	7	stays	stay	VERB
esrj-119576	188	8	near	near	ADP
esrj-119576	188	9	the	the	DET
esrj-119576	188	10	diagonal	diagonal	ADJ
esrj-119576	188	11	over	over	ADP
esrj-119576	188	12	a	a	DET
esrj-119576	188	13	wide	wide	ADJ
esrj-119576	188	14	range	range	NOUN
esrj-119576	188	15	,	,	PUNCT
esrj-119576	188	16	although	although	SCONJ
esrj-119576	188	17	it	it	PRON
esrj-119576	188	18	does	do	AUX
esrj-119576	188	19	n’t	not	PART
esrj-119576	188	20	fit	fit	VERB
esrj-119576	188	21	perfectly	perfectly	ADV
esrj-119576	188	22	in	in	ADP
esrj-119576	188	23	the	the	DET
esrj-119576	188	24	lower	low	ADJ
esrj-119576	188	25	tail	tail	NOUN
esrj-119576	188	26	.	.	PUNCT
esrj-119576	189	1	p3	p3	PROPN
esrj-119576	189	2	/	/	SYM
esrj-119576	189	3	pearson	pearson	PROPN
esrj-119576	189	4	iii	iii	PROPN
esrj-119576	189	5	(	(	PUNCT
esrj-119576	189	6	blue	blue	ADJ
esrj-119576	189	7	)	)	PUNCT
esrj-119576	189	8	remains	remain	VERB
esrj-119576	189	9	closest	close	ADJ
esrj-119576	189	10	to	to	ADP
esrj-119576	189	11	the	the	DET
esrj-119576	189	12	diagonal	diagonal	ADJ
esrj-119576	189	13	throughout	throughout	ADP
esrj-119576	189	14	most	most	ADJ
esrj-119576	189	15	of	of	ADP
esrj-119576	189	16	the	the	DET
esrj-119576	189	17	range	range	NOUN
esrj-119576	189	18	and	and	CCONJ
esrj-119576	189	19	provides	provide	VERB
esrj-119576	189	20	the	the	DET
esrj-119576	189	21	best	good	ADJ
esrj-119576	189	22	fit	fit	ADJ
esrj-119576	189	23	overall	overall	ADJ
esrj-119576	189	24	among	among	ADP
esrj-119576	189	25	the	the	DET
esrj-119576	189	26	second	second	ADJ
esrj-119576	189	27	set	set	NOUN
esrj-119576	189	28	of	of	ADP
esrj-119576	189	29	options	option	NOUN
esrj-119576	189	30	.	.	PUNCT
esrj-119576	190	1	figure	figure	NOUN
esrj-119576	190	2	2	2	NUM
esrj-119576	190	3	.	.	NOUN
esrj-119576	190	4	histogram	histogram	NOUN
esrj-119576	190	5	with	with	ADP
esrj-119576	190	6	multiple	multiple	ADJ
esrj-119576	190	7	line	line	NOUN
esrj-119576	190	8	diagrams	diagram	NOUN
esrj-119576	190	9	of	of	ADP
esrj-119576	190	10	10	10	NUM
esrj-119576	190	11	selected	select	VERB
esrj-119576	190	12	distributions	distribution	NOUN
esrj-119576	190	13	of	of	ADP
esrj-119576	190	14	january	january	PROPN
esrj-119576	190	15	month	month	NOUN
esrj-119576	190	16	of	of	ADP
esrj-119576	190	17	guwahati	guwahati	NOUN
esrj-119576	190	18	station	station	NOUN
esrj-119576	190	19	for	for	ADP
esrj-119576	190	20	the	the	DET
esrj-119576	190	21	period	period	NOUN
esrj-119576	190	22	of	of	ADP
esrj-119576	190	23	1985	1985	NUM
esrj-119576	190	24	-	-	SYM
esrj-119576	190	25	2022	2022	NUM
esrj-119576	190	26	on	on	ADP
esrj-119576	190	27	rainfall	rainfall	NOUN
esrj-119576	190	28	figure	figure	NOUN
esrj-119576	191	1	3	3	NUM
esrj-119576	191	2	.	.	PUNCT
esrj-119576	191	3	q	q	X
esrj-119576	191	4	-	-	PUNCT
esrj-119576	191	5	q	q	NOUN
esrj-119576	191	6	plot	plot	NOUN
esrj-119576	191	7	of	of	ADP
esrj-119576	191	8	january	january	PROPN
esrj-119576	191	9	month	month	NOUN
esrj-119576	191	10	at	at	ADP
esrj-119576	191	11	guwahati	guwahati	NOUN
esrj-119576	191	12	station	station	NOUN
esrj-119576	191	13	figure	figure	NOUN
esrj-119576	191	14	4	4	NUM
esrj-119576	191	15	.	.	PUNCT
esrj-119576	192	1	p	p	X
esrj-119576	192	2	-	-	PUNCT
esrj-119576	192	3	p	p	NOUN
esrj-119576	192	4	plot	plot	NOUN
esrj-119576	192	5	of	of	ADP
esrj-119576	192	6	january	january	PROPN
esrj-119576	192	7	month	month	NOUN
esrj-119576	192	8	at	at	ADP
esrj-119576	192	9	guwahati	guwahati	NOUN
esrj-119576	192	10	station	station	NOUN
esrj-119576	192	11	371fitting	371fitting	PROPN
esrj-119576	192	12	of	of	ADP
esrj-119576	192	13	statistical	statistical	ADJ
esrj-119576	192	14	distribution	distribution	NOUN
esrj-119576	192	15	in	in	ADP
esrj-119576	192	16	assessing	assess	VERB
esrj-119576	192	17	rainfall	rainfall	NOUN
esrj-119576	192	18	patterns	pattern	NOUN
esrj-119576	192	19	across	across	ADP
esrj-119576	192	20	various	various	ADJ
esrj-119576	192	21	zones	zone	NOUN
esrj-119576	192	22	of	of	ADP
esrj-119576	192	23	assam	assam	PROPN
esrj-119576	192	24	,	,	PUNCT
esrj-119576	192	25	india	india	PROPN
esrj-119576	192	26	table	table	PROPN
esrj-119576	192	27	7	7	NUM
esrj-119576	192	28	.	.	PUNCT
esrj-119576	192	29	criteria	criterion	NOUN
esrj-119576	192	30	for	for	ADP
esrj-119576	192	31	comparison	comparison	NOUN
esrj-119576	192	32	of	of	ADP
esrj-119576	192	33	best	good	ADJ
esrj-119576	192	34	probability	probability	NOUN
esrj-119576	192	35	distribution	distribution	NOUN
esrj-119576	192	36	fitting	fitting	ADJ
esrj-119576	192	37	of	of	ADP
esrj-119576	192	38	total	total	ADJ
esrj-119576	192	39	monthly	monthly	ADJ
esrj-119576	192	40	rainfall	rainfall	NOUN
esrj-119576	192	41	in	in	ADP
esrj-119576	192	42	guwahati	guwahati	NOUN
esrj-119576	192	43	station	station	NOUN
esrj-119576	192	44	for	for	ADP
esrj-119576	192	45	april	april	PROPN
esrj-119576	192	46	,	,	PUNCT
esrj-119576	192	47	may	may	AUX
esrj-119576	192	48	,	,	PUNCT
esrj-119576	192	49	june	june	PROPN
esrj-119576	192	50	,	,	PUNCT
esrj-119576	192	51	july	july	PROPN
esrj-119576	192	52	,	,	PUNCT
esrj-119576	192	53	august	august	PROPN
esrj-119576	192	54	,	,	PUNCT
esrj-119576	192	55	september	september	PROPN
esrj-119576	192	56	,	,	PUNCT
esrj-119576	192	57	november	november	PROPN
esrj-119576	192	58	and	and	CCONJ
esrj-119576	192	59	december	december	PROPN
esrj-119576	192	60	station	station	NOUN
esrj-119576	192	61	:	:	PUNCT
esrj-119576	193	1	guwahati	guwahati	NOUN
esrj-119576	193	2	months	month	NOUN
esrj-119576	193	3	distribution	distribution	NOUN
esrj-119576	193	4	-2logl	-2logl	PRON
esrj-119576	193	5	aic	aic	PROPN
esrj-119576	193	6	bic	bic	PROPN
esrj-119576	193	7	ks	ks	PROPN
esrj-119576	193	8	-	-	PUNCT
esrj-119576	193	9	value	value	NOUN
esrj-119576	193	10	p	p	NOUN
esrj-119576	193	11	-	-	PUNCT
esrj-119576	193	12	value	value	NOUN
esrj-119576	193	13	april	april	PROPN
esrj-119576	193	14	pearson	pearson	NOUN
esrj-119576	194	1	i	i	PRON
esrj-119576	194	2	442.3452	442.3452	NUM
esrj-119576	194	3	450.3452	450.3452	NUM
esrj-119576	194	4	456.8956	456.8956	NUM
esrj-119576	194	5	0.2426	0.2426	NUM
esrj-119576	194	6	0.1870	0.1870	NUM
esrj-119576	194	7	may	may	AUX
esrj-119576	194	8	pearson	pearson	VERB
esrj-119576	194	9	i	i	PRON
esrj-119576	194	10	454.6502	454.6502	NUM
esrj-119576	194	11	462.6502	462.6502	NUM
esrj-119576	195	1	469.2005	469.2005	NUM
esrj-119576	195	2	0.1205	0.1205	NUM
esrj-119576	195	3	0.5967	0.5967	NUM
esrj-119576	195	4	june	june	PROPN
esrj-119576	195	5	pearson	pearson	PROPN
esrj-119576	196	1	i	i	PROPN
esrj-119576	196	2	463.8386	463.8386	NUM
esrj-119576	196	3	471.8386	471.8386	NUM
esrj-119576	196	4	478.389	478.389	NUM
esrj-119576	196	5	0.0786	0.0786	NUM
esrj-119576	196	6	0.9580	0.9580	NUM
esrj-119576	196	7	july	july	PROPN
esrj-119576	196	8	log	log	NOUN
esrj-119576	196	9	-	-	PUNCT
esrj-119576	196	10	normal	normal	ADJ
esrj-119576	196	11	462.3650	462.3650	NUM
esrj-119576	196	12	466.3650	466.3650	NUM
esrj-119576	196	13	469.6402	469.6402	NUM
esrj-119576	196	14	0.0596	0.0596	NUM
esrj-119576	196	15	0.9993	0.9993	NUM
esrj-119576	196	16	august	august	PROPN
esrj-119576	196	17	weibull	weibull	NOUN
esrj-119576	196	18	461.8864	461.8864	NUM
esrj-119576	196	19	465.8865	465.8865	NUM
esrj-119576	196	20	469.1616	469.1616	NUM
esrj-119576	196	21	0.0726	0.0726	NUM
esrj-119576	196	22	0.9881	0.9881	NUM
esrj-119576	196	23	september	september	PROPN
esrj-119576	196	24	weibull	weibull	PROPN
esrj-119576	196	25	443.2952	443.2952	PROPN
esrj-119576	196	26	447.2953	447.2953	NUM
esrj-119576	196	27	450.5704	450.5704	NUM
esrj-119576	196	28	0.0639	0.0639	NUM
esrj-119576	196	29	0.9977	0.9977	NUM
esrj-119576	196	30	october	october	NOUN
esrj-119576	196	31	weibull	weibull	NOUN
esrj-119576	196	32	431.2786	431.2786	NUM
esrj-119576	196	33	435.2786	435.2786	NUM
esrj-119576	196	34	438.5538	438.5538	NUM
esrj-119576	196	35	0.1565	0.1565	NUM
esrj-119576	196	36	0.3098	0.3098	NUM
esrj-119576	196	37	november	november	PROPN
esrj-119576	196	38	gamma	gamma	NOUN
esrj-119576	196	39	178.507	178.507	NUM
esrj-119576	196	40	182.507	182.507	NUM
esrj-119576	196	41	185.7822	185.7822	NUM
esrj-119576	196	42	0.1778	0.1778	NUM
esrj-119576	196	43	0.1808	0.1808	NUM
esrj-119576	196	44	december	december	PROPN
esrj-119576	196	45	table	table	NOUN
esrj-119576	196	46	8	8	NUM
esrj-119576	196	47	.	.	PUNCT
esrj-119576	197	1	criteria	criterion	NOUN
esrj-119576	197	2	for	for	ADP
esrj-119576	197	3	comparison	comparison	NOUN
esrj-119576	197	4	of	of	ADP
esrj-119576	197	5	probability	probability	NOUN
esrj-119576	197	6	distribution	distribution	NOUN
esrj-119576	197	7	fitting	fitting	ADJ
esrj-119576	197	8	of	of	ADP
esrj-119576	197	9	total	total	ADJ
esrj-119576	197	10	monthly	monthly	ADJ
esrj-119576	197	11	rainfall	rainfall	NOUN
esrj-119576	197	12	in	in	ADP
esrj-119576	197	13	guwahati	guwahati	NOUN
esrj-119576	197	14	station	station	NOUN
esrj-119576	197	15	for	for	ADP
esrj-119576	197	16	winter	winter	NOUN
esrj-119576	197	17	,	,	PUNCT
esrj-119576	197	18	pre	pre	NOUN
esrj-119576	197	19	-	-	NOUN
esrj-119576	197	20	monsoon	monsoon	ADJ
esrj-119576	197	21	,	,	PUNCT
esrj-119576	197	22	monsoon	monsoon	NOUN
esrj-119576	197	23	and	and	CCONJ
esrj-119576	197	24	post	post	ADJ
esrj-119576	197	25	-	-	ADJ
esrj-119576	197	26	monsoon	monsoon	ADJ
esrj-119576	197	27	season	season	NOUN
esrj-119576	197	28	season	season	NOUN
esrj-119576	197	29	wise	wise	ADJ
esrj-119576	197	30	(	(	PUNCT
esrj-119576	197	31	guwahati	guwahati	NOUN
esrj-119576	197	32	station	station	NOUN
esrj-119576	197	33	)	)	PUNCT
esrj-119576	197	34	months	month	NOUN
esrj-119576	197	35	distribution	distribution	NOUN
esrj-119576	197	36	-2logl	-2logl	PRON
esrj-119576	197	37	aic	aic	PROPN
esrj-119576	197	38	bic	bic	PROPN
esrj-119576	197	39	ks	ks	PROPN
esrj-119576	197	40	-	-	PUNCT
esrj-119576	197	41	value	value	NOUN
esrj-119576	197	42	p	p	NOUN
esrj-119576	197	43	-	-	PUNCT
esrj-119576	197	44	value	value	NOUN
esrj-119576	197	45	winter	winter	NOUN
esrj-119576	197	46	gamma	gamma	NOUN
esrj-119576	197	47	448.0652	448.0652	NUM
esrj-119576	197	48	452.0652	452.0652	NUM
esrj-119576	197	49	456.7266	456.7266	NUM
esrj-119576	197	50	0.2239	0.2239	NUM
esrj-119576	197	51	0.0009	0.0009	NUM
esrj-119576	197	52	logistic	logistic	NOUN
esrj-119576	197	53	639.2842	639.2842	NUM
esrj-119576	197	54	643.2842	643.2842	NUM
esrj-119576	197	55	647.9457	647.9457	NUM
esrj-119576	197	56	0.1863	0.1863	NUM
esrj-119576	197	57	0.0102	0.0102	NUM
esrj-119576	197	58	exponential	exponential	NOUN
esrj-119576	197	59	569.7262	569.7262	NUM
esrj-119576	197	60	571.7261	571.7261	NUM
esrj-119576	197	61	574.0569	574.0569	NUM
esrj-119576	197	62	0.1737	0.1737	NUM
esrj-119576	197	63	0.0203	0.0203	NUM
esrj-119576	197	64	gumbel	gumbel	PROPN
esrj-119576	197	65	615.1228	615.1228	NUM
esrj-119576	197	66	619.1229	619.1229	NUM
esrj-119576	197	67	623.7843	623.7843	NUM
esrj-119576	197	68	0.1373	0.1373	NUM
esrj-119576	197	69	0.1135	0.1135	NUM
esrj-119576	197	70	weibull	weibull	PROPN
esrj-119576	197	71	472.7544	472.7544	NUM
esrj-119576	197	72	476.7545	476.7545	NUM
esrj-119576	197	73	481.416	481.416	NUM
esrj-119576	197	74	0.2188	0.2188	NUM
esrj-119576	197	75	0.0013	0.0013	NUM
esrj-119576	197	76	log	log	NOUN
esrj-119576	197	77	-	-	PUNCT
esrj-119576	197	78	normal	normal	ADJ
esrj-119576	197	79	519.7514	519.7514	NUM
esrj-119576	197	80	523.7513	523.7513	NUM
esrj-119576	197	81	528.4128	528.4128	NUM
esrj-119576	197	82	0.2828	0.2828	NUM
esrj-119576	197	83	1.05e-05	1.05e-05	NUM
esrj-119576	197	84	pearson	pearson	NOUN
esrj-119576	197	85	0	0	PUNCT
esrj-119576	198	1	654.0812	654.0812	NUM
esrj-119576	198	2	658.0812	658.0812	NUM
esrj-119576	198	3	662.7426	662.7426	NUM
esrj-119576	198	4	0.1913	0.1913	NUM
esrj-119576	198	5	0.0065	0.0065	NUM
esrj-119576	198	6	pearson	pearson	NOUN
esrj-119576	198	7	i	i	PRON
esrj-119576	198	8	267.4619	267.4619	NUM
esrj-119576	198	9	275.4619	275.4619	NUM
esrj-119576	198	10	284.7848	284.7848	NUM
esrj-119576	198	11	0.1578	0.1578	NUM
esrj-119576	198	12	0.0402	0.0402	NUM
esrj-119576	198	13	pearson	pearson	NOUN
esrj-119576	198	14	iii	iii	NUM
esrj-119576	199	1	374.2139	374.2139	NUM
esrj-119576	199	2	380.2139	380.2139	NUM
esrj-119576	199	3	387.2061	387.2061	NUM
esrj-119576	199	4	0.1627	0.1627	NUM
esrj-119576	199	5	0.0315	0.0315	NUM
esrj-119576	199	6	pearson	pearson	NOUN
esrj-119576	199	7	v	v	ADP
esrj-119576	199	8	593.8993	593.8993	NUM
esrj-119576	199	9	599.8993	599.8993	NUM
esrj-119576	199	10	606.8915	606.8915	NUM
esrj-119576	199	11	0.14447	0.14447	NUM
esrj-119576	199	12	0.0747	0.0747	NUM
esrj-119576	199	13	pre	pre	ADJ
esrj-119576	199	14	-	-	ADJ
esrj-119576	199	15	mon	mon	ADJ
esrj-119576	199	16	pearson	pearson	NOUN
esrj-119576	199	17	i	i	PRON
esrj-119576	199	18	1371.428	1371.428	PROPN
esrj-119576	199	19	1379.428	1379.428	NUM
esrj-119576	199	20	1390.372	1390.372	NUM
esrj-119576	199	21	0.0751	0.0751	NUM
esrj-119576	199	22	0.5159	0.5159	NUM
esrj-119576	199	23	monsoon	monsoon	NOUN
esrj-119576	199	24	pearson	pearson	NOUN
esrj-119576	199	25	i	i	PRON
esrj-119576	199	26	1865.889	1865.889	NUM
esrj-119576	199	27	1873.889	1873.889	NUM
esrj-119576	199	28	1885.984	1885.984	NUM
esrj-119576	199	29	0.0469	0.0469	NUM
esrj-119576	199	30	0.8755	0.8755	NUM
esrj-119576	199	31	post	post	NOUN
esrj-119576	199	32	-	-	NOUN
esrj-119576	199	33	mon	mon	NOUN
esrj-119576	199	34	from	from	ADP
esrj-119576	199	35	table	table	NOUN
esrj-119576	199	36	6	6	NUM
esrj-119576	199	37	and	and	CCONJ
esrj-119576	199	38	7	7	NUM
esrj-119576	199	39	,	,	PUNCT
esrj-119576	199	40	the	the	DET
esrj-119576	199	41	data	data	NOUN
esrj-119576	199	42	points	point	NOUN
esrj-119576	199	43	of	of	ADP
esrj-119576	199	44	february	february	PROPN
esrj-119576	199	45	,	,	PUNCT
esrj-119576	199	46	march	march	PROPN
esrj-119576	199	47	,	,	PUNCT
esrj-119576	199	48	april	april	PROPN
esrj-119576	199	49	,	,	PUNCT
esrj-119576	199	50	may	may	AUX
esrj-119576	199	51	,	,	PUNCT
esrj-119576	199	52	june	june	PROPN
esrj-119576	199	53	month	month	NOUN
esrj-119576	199	54	fit	fit	ADJ
esrj-119576	199	55	best	good	ADJ
esrj-119576	199	56	the	the	DET
esrj-119576	199	57	pearson	pearson	NOUN
esrj-119576	199	58	i	i	PRON
esrj-119576	199	59	distribution	distribution	VERB
esrj-119576	199	60	with	with	ADP
esrj-119576	199	61	least	least	ADJ
esrj-119576	199	62	-2logl	-2logl	NOUN
esrj-119576	199	63	,	,	PUNCT
esrj-119576	199	64	aic	aic	PROPN
esrj-119576	199	65	,	,	PUNCT
esrj-119576	199	66	bic	bic	PROPN
esrj-119576	199	67	and	and	CCONJ
esrj-119576	199	68	k	k	PROPN
esrj-119576	199	69	-	-	PUNCT
esrj-119576	199	70	s	s	PRON
esrj-119576	199	71	value	value	NOUN
esrj-119576	199	72	with	with	ADP
esrj-119576	199	73	greater	great	ADJ
esrj-119576	199	74	0.05	0.05	NUM
esrj-119576	199	75	p	p	NOUN
esrj-119576	199	76	-	-	PUNCT
esrj-119576	199	77	value	value	NOUN
esrj-119576	199	78	,	,	PUNCT
esrj-119576	199	79	but	but	CCONJ
esrj-119576	199	80	in	in	ADP
esrj-119576	199	81	july	july	PROPN
esrj-119576	199	82	month	month	NOUN
esrj-119576	199	83	,	,	PUNCT
esrj-119576	199	84	both	both	PRON
esrj-119576	199	85	pearson	pearson	PROPN
esrj-119576	199	86	i	i	PROPN
esrj-119576	199	87	and	and	CCONJ
esrj-119576	199	88	log	log	NOUN
esrj-119576	199	89	-	-	PUNCT
esrj-119576	199	90	normal	normal	ADJ
esrj-119576	199	91	distribution	distribution	NOUN
esrj-119576	199	92	fits	fit	VERB
esrj-119576	199	93	well	well	ADV
esrj-119576	199	94	,	,	PUNCT
esrj-119576	199	95	but	but	CCONJ
esrj-119576	199	96	it	it	PRON
esrj-119576	199	97	is	be	AUX
esrj-119576	199	98	more	more	ADV
esrj-119576	199	99	favored	favor	VERB
esrj-119576	199	100	to	to	PART
esrj-119576	199	101	choose	choose	VERB
esrj-119576	199	102	lognormal	lognormal	ADJ
esrj-119576	199	103	distribution	distribution	NOUN
esrj-119576	199	104	since	since	SCONJ
esrj-119576	199	105	k	k	PROPN
esrj-119576	199	106	-	-	PUNCT
esrj-119576	199	107	s	s	PART
esrj-119576	199	108	value	value	NOUN
esrj-119576	199	109	is	be	AUX
esrj-119576	199	110	lowest	low	ADJ
esrj-119576	199	111	in	in	ADP
esrj-119576	199	112	case	case	NOUN
esrj-119576	199	113	of	of	ADP
esrj-119576	199	114	log	log	NOUN
esrj-119576	199	115	-	-	PUNCT
esrj-119576	199	116	normal	normal	ADJ
esrj-119576	199	117	distribution	distribution	NOUN
esrj-119576	199	118	than	than	ADP
esrj-119576	199	119	pearson	pearson	NOUN
esrj-119576	199	120	i	i	PRON
esrj-119576	199	121	distribution	distribution	NOUN
esrj-119576	199	122	.	.	PUNCT
esrj-119576	200	1	similarly	similarly	ADV
esrj-119576	200	2	,	,	PUNCT
esrj-119576	200	3	august	august	PROPN
esrj-119576	200	4	,	,	PUNCT
esrj-119576	200	5	september	september	PROPN
esrj-119576	200	6	and	and	CCONJ
esrj-119576	200	7	october	october	PROPN
esrj-119576	200	8	month	month	NOUN
esrj-119576	200	9	follow	follow	VERB
esrj-119576	200	10	weibull	weibull	NOUN
esrj-119576	200	11	distribution	distribution	NOUN
esrj-119576	200	12	.	.	PUNCT
esrj-119576	201	1	november	november	PROPN
esrj-119576	201	2	month	month	NOUN
esrj-119576	201	3	follows	follow	VERB
esrj-119576	201	4	gamma	gamma	NOUN
esrj-119576	201	5	distribution	distribution	NOUN
esrj-119576	201	6	and	and	CCONJ
esrj-119576	201	7	december	december	PROPN
esrj-119576	201	8	month	month	NOUN
esrj-119576	201	9	does	do	AUX
esrj-119576	201	10	n’t	not	PART
esrj-119576	201	11	follow	follow	VERB
esrj-119576	201	12	any	any	DET
esrj-119576	201	13	distribution	distribution	NOUN
esrj-119576	201	14	i.e.	i.e.	X
esrj-119576	201	15	the	the	DET
esrj-119576	201	16	p	p	NOUN
esrj-119576	201	17	-	-	PUNCT
esrj-119576	201	18	value	value	NOUN
esrj-119576	201	19	for	for	ADP
esrj-119576	201	20	each	each	DET
esrj-119576	201	21	distribution	distribution	NOUN
esrj-119576	201	22	satisfies	satisfy	VERB
esrj-119576	201	23	the	the	DET
esrj-119576	201	24	alternative	alternative	ADJ
esrj-119576	201	25	hypothesis	hypothesis	NOUN
esrj-119576	201	26	of	of	ADP
esrj-119576	201	27	k	k	PROPN
esrj-119576	201	28	-	-	PUNCT
esrj-119576	201	29	s	s	PART
esrj-119576	201	30	test	test	NOUN
esrj-119576	201	31	.	.	PUNCT
esrj-119576	202	1	it	it	PRON
esrj-119576	202	2	means	mean	VERB
esrj-119576	202	3	none	none	NOUN
esrj-119576	202	4	of	of	ADP
esrj-119576	202	5	10	10	NUM
esrj-119576	202	6	distributions	distribution	NOUN
esrj-119576	202	7	follow	follow	VERB
esrj-119576	202	8	the	the	DET
esrj-119576	202	9	required	require	VERB
esrj-119576	202	10	distribution	distribution	NOUN
esrj-119576	202	11	i.e.	i.e.	ADV
esrj-119576	202	12	all	all	PRON
esrj-119576	202	13	are	be	AUX
esrj-119576	202	14	having	have	VERB
esrj-119576	202	15	p	p	NOUN
esrj-119576	202	16	-	-	PUNCT
esrj-119576	202	17	values	value	NOUN
esrj-119576	202	18	less	less	ADJ
esrj-119576	202	19	than	than	ADP
esrj-119576	202	20	0.05	0.05	NUM
esrj-119576	202	21	.	.	PUNCT
esrj-119576	203	1	the	the	DET
esrj-119576	203	2	criteria	criterion	NOUN
esrj-119576	203	3	for	for	ADP
esrj-119576	203	4	determining	determine	VERB
esrj-119576	203	5	the	the	DET
esrj-119576	203	6	best	well	ADV
esrj-119576	203	7	-	-	PUNCT
esrj-119576	203	8	fitting	fit	VERB
esrj-119576	203	9	probability	probability	NOUN
esrj-119576	203	10	distribution	distribution	NOUN
esrj-119576	203	11	season	season	NOUN
esrj-119576	203	12	wise	wise	ADJ
esrj-119576	203	13	are	be	AUX
esrj-119576	203	14	presented	present	VERB
esrj-119576	203	15	in	in	ADP
esrj-119576	203	16	table	table	NOUN
esrj-119576	203	17	8	8	NUM
esrj-119576	203	18	.	.	PUNCT
esrj-119576	203	19	table	table	NOUN
esrj-119576	203	20	8	8	NUM
esrj-119576	203	21	also	also	ADV
esrj-119576	203	22	briefly	briefly	ADV
esrj-119576	203	23	explains	explain	VERB
esrj-119576	203	24	the	the	DET
esrj-119576	203	25	quantitative	quantitative	ADJ
esrj-119576	203	26	values	value	NOUN
esrj-119576	203	27	of	of	ADP
esrj-119576	203	28	criteria	criterion	NOUN
esrj-119576	203	29	’s	’s	ADV
esrj-119576	203	30	of	of	ADP
esrj-119576	203	31	fitting	fitting	ADJ
esrj-119576	203	32	best	good	ADJ
esrj-119576	203	33	distribution	distribution	NOUN
esrj-119576	203	34	in	in	ADP
esrj-119576	203	35	season	season	NOUN
esrj-119576	203	36	wise	wise	ADJ
esrj-119576	203	37	i.e.	i.e.	X
esrj-119576	203	38	winter	winter	NOUN
esrj-119576	203	39	(	(	PUNCT
esrj-119576	203	40	january	january	PROPN
esrj-119576	203	41	,	,	PUNCT
esrj-119576	203	42	february	february	PROPN
esrj-119576	203	43	)	)	PUNCT
esrj-119576	203	44	,	,	PUNCT
esrj-119576	203	45	premonsoon	premonsoon	NOUN
esrj-119576	203	46	(	(	PUNCT
esrj-119576	203	47	march	march	PROPN
esrj-119576	203	48	,	,	PUNCT
esrj-119576	203	49	april	april	PROPN
esrj-119576	203	50	,	,	PUNCT
esrj-119576	203	51	may	may	PROPN
esrj-119576	203	52	)	)	PUNCT
esrj-119576	203	53	,	,	PUNCT
esrj-119576	203	54	monsoon	monsoon	NOUN
esrj-119576	203	55	(	(	PUNCT
esrj-119576	203	56	june	june	PROPN
esrj-119576	203	57	,	,	PUNCT
esrj-119576	203	58	july	july	PROPN
esrj-119576	203	59	,	,	PUNCT
esrj-119576	203	60	august	august	PROPN
esrj-119576	203	61	,	,	PUNCT
esrj-119576	203	62	september	september	PROPN
esrj-119576	203	63	)	)	PUNCT
esrj-119576	203	64	and	and	CCONJ
esrj-119576	203	65	post	post	ADJ
esrj-119576	203	66	-	-	ADJ
esrj-119576	203	67	monsoon	monsoon	ADJ
esrj-119576	203	68	season	season	NOUN
esrj-119576	203	69	(	(	PUNCT
esrj-119576	203	70	october	october	PROPN
esrj-119576	203	71	,	,	PUNCT
esrj-119576	203	72	november	november	PROPN
esrj-119576	203	73	,	,	PUNCT
esrj-119576	203	74	december	december	PROPN
esrj-119576	203	75	)	)	PUNCT
esrj-119576	203	76	respectively	respectively	ADV
esrj-119576	203	77	.	.	PUNCT
esrj-119576	204	1	it	it	PRON
esrj-119576	204	2	is	be	AUX
esrj-119576	204	3	observed	observe	VERB
esrj-119576	204	4	that	that	SCONJ
esrj-119576	204	5	the	the	DET
esrj-119576	204	6	rainfall	rainfall	NOUN
esrj-119576	204	7	data	datum	NOUN
esrj-119576	204	8	of	of	ADP
esrj-119576	204	9	january	january	PROPN
esrj-119576	204	10	and	and	CCONJ
esrj-119576	204	11	february	february	PROPN
esrj-119576	204	12	month	month	NOUN
esrj-119576	204	13	i.e.	i.e.	X
esrj-119576	204	14	winter	winter	NOUN
esrj-119576	204	15	season	season	NOUN
esrj-119576	204	16	follows	follow	VERB
esrj-119576	204	17	gumbel	gumbel	PROPN
esrj-119576	204	18	and	and	CCONJ
esrj-119576	204	19	pearson	pearson	PROPN
esrj-119576	204	20	v	v	ADJ
esrj-119576	204	21	distribution	distribution	NOUN
esrj-119576	204	22	with	with	ADP
esrj-119576	204	23	greater	great	ADJ
esrj-119576	204	24	than	than	ADP
esrj-119576	204	25	0.05	0.05	NUM
esrj-119576	204	26	p	p	NOUN
esrj-119576	204	27	-	-	PUNCT
esrj-119576	204	28	value	value	NOUN
esrj-119576	204	29	,	,	PUNCT
esrj-119576	204	30	but	but	CCONJ
esrj-119576	204	31	depending	depend	VERB
esrj-119576	204	32	on	on	ADP
esrj-119576	204	33	k	k	PROPN
esrj-119576	204	34	-	-	PUNCT
esrj-119576	204	35	s	s	PART
esrj-119576	204	36	distance	distance	NOUN
esrj-119576	204	37	or	or	CCONJ
esrj-119576	204	38	value	value	NOUN
esrj-119576	204	39	,	,	PUNCT
esrj-119576	204	40	gumbel	gumbel	PROPN
esrj-119576	204	41	fits	fit	VERB
esrj-119576	204	42	better	well	ADJ
esrj-119576	204	43	with	with	ADP
esrj-119576	204	44	least	least	ADJ
esrj-119576	204	45	k	k	NOUN
esrj-119576	204	46	-	-	PUNCT
esrj-119576	204	47	s	s	NOUN
esrj-119576	204	48	value	value	NOUN
esrj-119576	204	49	.	.	PUNCT
esrj-119576	205	1	similarly	similarly	ADV
esrj-119576	205	2	,	,	PUNCT
esrj-119576	205	3	pre	pre	ADJ
esrj-119576	205	4	-	-	ADJ
esrj-119576	205	5	monsoon	monsoon	NOUN
esrj-119576	205	6	follows	follow	VERB
esrj-119576	205	7	pearson	pearson	PROPN
esrj-119576	205	8	i	i	PRON
esrj-119576	205	9	,	,	PUNCT
esrj-119576	205	10	monsoon	monsoon	PROPN
esrj-119576	205	11	follows	follow	VERB
esrj-119576	205	12	pearson	pearson	NOUN
esrj-119576	205	13	i	i	PRON
esrj-119576	205	14	distribution	distribution	NOUN
esrj-119576	205	15	and	and	CCONJ
esrj-119576	205	16	post	post	ADJ
esrj-119576	205	17	-	-	ADJ
esrj-119576	205	18	monsoon	monsoon	NOUN
esrj-119576	205	19	does	do	AUX
esrj-119576	205	20	not	not	PART
esrj-119576	205	21	satisfy	satisfy	VERB
esrj-119576	205	22	the	the	DET
esrj-119576	205	23	null	null	ADJ
esrj-119576	205	24	hypothesis	hypothesis	NOUN
esrj-119576	205	25	of	of	ADP
esrj-119576	205	26	k	k	PROPN
esrj-119576	205	27	-	-	PUNCT
esrj-119576	205	28	s	s	PART
esrj-119576	205	29	test	test	NOUN
esrj-119576	205	30	.	.	PUNCT
esrj-119576	206	1	table	table	NOUN
esrj-119576	206	2	9	9	NUM
esrj-119576	206	3	,	,	PUNCT
esrj-119576	206	4	10	10	NUM
esrj-119576	206	5	,	,	PUNCT
esrj-119576	206	6	11	11	NUM
esrj-119576	206	7	and	and	CCONJ
esrj-119576	206	8	12	12	NUM
esrj-119576	206	9	represents	represent	VERB
esrj-119576	206	10	selected	select	VERB
esrj-119576	206	11	criteria	criterion	NOUN
esrj-119576	206	12	’s	’s	ADV
esrj-119576	206	13	of	of	ADP
esrj-119576	206	14	fitting	fitting	NOUN
esrj-119576	206	15	of	of	ADP
esrj-119576	206	16	distribution	distribution	NOUN
esrj-119576	206	17	with	with	ADP
esrj-119576	206	18	least	least	ADJ
esrj-119576	206	19	quantitative	quantitative	ADJ
esrj-119576	206	20	value	value	NOUN
esrj-119576	206	21	for	for	ADP
esrj-119576	206	22	each	each	DET
esrj-119576	206	23	month	month	NOUN
esrj-119576	206	24	and	and	CCONJ
esrj-119576	206	25	seasons	season	NOUN
esrj-119576	206	26	for	for	ADP
esrj-119576	206	27	silchar	silchar	NOUN
esrj-119576	206	28	,	,	PUNCT
esrj-119576	206	29	tezpur	tezpur	NOUN
esrj-119576	206	30	,	,	PUNCT
esrj-119576	206	31	dibrugarh	dibrugarh	NOUN
esrj-119576	206	32	and	and	CCONJ
esrj-119576	206	33	dhubri	dhubri	NOUN
esrj-119576	206	34	respectively	respectively	ADV
esrj-119576	206	35	.	.	PUNCT
esrj-119576	207	1	from	from	ADP
esrj-119576	207	2	table	table	NOUN
esrj-119576	207	3	5	5	NUM
esrj-119576	207	4	to	to	PART
esrj-119576	207	5	12	12	NUM
esrj-119576	207	6	,	,	PUNCT
esrj-119576	207	7	it	it	PRON
esrj-119576	207	8	is	be	AUX
esrj-119576	207	9	observed	observe	VERB
esrj-119576	207	10	that	that	SCONJ
esrj-119576	207	11	among	among	ADP
esrj-119576	207	12	10	10	NUM
esrj-119576	207	13	distributions	distribution	NOUN
esrj-119576	207	14	,	,	PUNCT
esrj-119576	207	15	34.48	34.48	NUM
esrj-119576	207	16	%	%	NOUN
esrj-119576	207	17	,	,	PUNCT
esrj-119576	207	18	22.48	22.48	NUM
esrj-119576	207	19	%	%	NOUN
esrj-119576	207	20	and	and	CCONJ
esrj-119576	207	21	12.06	12.06	NUM
esrj-119576	207	22	%	%	NOUN
esrj-119576	207	23	of	of	ADP
esrj-119576	207	24	rainfall	rainfall	NOUN
esrj-119576	207	25	data	datum	NOUN
esrj-119576	207	26	from	from	ADP
esrj-119576	207	27	1985	1985	NUM
esrj-119576	207	28	-	-	SYM
esrj-119576	207	29	2022	2022	NUM
esrj-119576	207	30	,	,	PUNCT
esrj-119576	207	31	follows	follow	VERB
esrj-119576	207	32	pearson	pearson	PROPN
esrj-119576	207	33	type	type	PROPN
esrj-119576	207	34	1	1	NUM
esrj-119576	207	35	,	,	PUNCT
esrj-119576	207	36	weibull	weibull	NOUN
esrj-119576	207	37	and	and	CCONJ
esrj-119576	207	38	gumbel	gumbel	PROPN
esrj-119576	207	39	distribution	distribution	NOUN
esrj-119576	207	40	respectively	respectively	ADV
esrj-119576	207	41	considering	consider	VERB
esrj-119576	207	42	net	net	ADJ
esrj-119576	207	43	stations	station	NOUN
esrj-119576	207	44	in	in	ADP
esrj-119576	207	45	monthly	monthly	ADJ
esrj-119576	207	46	wise	wise	NOUN
esrj-119576	207	47	.	.	PUNCT
esrj-119576	208	1	similarly	similarly	ADV
esrj-119576	208	2	,	,	PUNCT
esrj-119576	208	3	50	50	NUM
esrj-119576	208	4	%	%	NOUN
esrj-119576	208	5	,	,	PUNCT
esrj-119576	208	6	18.75	18.75	NUM
esrj-119576	208	7	%	%	NOUN
esrj-119576	208	8	and	and	CCONJ
esrj-119576	208	9	12.5	12.5	NUM
esrj-119576	208	10	%	%	NOUN
esrj-119576	208	11	follows	follow	VERB
esrj-119576	208	12	pearson	pearson	PROPN
esrj-119576	208	13	type	type	PROPN
esrj-119576	208	14	1	1	NUM
esrj-119576	208	15	,	,	PUNCT
esrj-119576	208	16	weibull	weibull	NOUN
esrj-119576	208	17	and	and	CCONJ
esrj-119576	208	18	gumbel	gumbel	PROPN
esrj-119576	208	19	distribution	distribution	NOUN
esrj-119576	208	20	in	in	ADP
esrj-119576	208	21	season	season	NOUN
esrj-119576	208	22	wise	wise	ADJ
esrj-119576	208	23	also	also	ADV
esrj-119576	208	24	.	.	PUNCT
esrj-119576	209	1	this	this	DET
esrj-119576	209	2	analysis	analysis	NOUN
esrj-119576	209	3	provides	provide	VERB
esrj-119576	209	4	a	a	DET
esrj-119576	209	5	refined	refined	ADJ
esrj-119576	209	6	understanding	understanding	NOUN
esrj-119576	209	7	of	of	ADP
esrj-119576	209	8	probability	probability	NOUN
esrj-119576	209	9	distribution	distribution	NOUN
esrj-119576	209	10	functions	function	NOUN
esrj-119576	209	11	for	for	ADP
esrj-119576	209	12	monthly	monthly	ADJ
esrj-119576	209	13	and	and	CCONJ
esrj-119576	209	14	seasonal	seasonal	ADJ
esrj-119576	209	15	rainfall	rainfall	NOUN
esrj-119576	209	16	,	,	PUNCT
esrj-119576	209	17	essential	essential	ADJ
esrj-119576	209	18	for	for	ADP
esrj-119576	209	19	shaping	shape	VERB
esrj-119576	209	20	advanced	advanced	ADJ
esrj-119576	209	21	agricultural	agricultural	ADJ
esrj-119576	209	22	strategies	strategy	NOUN
esrj-119576	209	23	.	.	PUNCT
esrj-119576	210	1	by	by	ADP
esrj-119576	210	2	employing	employ	VERB
esrj-119576	210	3	these	these	DET
esrj-119576	210	4	models	model	NOUN
esrj-119576	210	5	,	,	PUNCT
esrj-119576	210	6	farmers	farmer	NOUN
esrj-119576	210	7	can	can	AUX
esrj-119576	210	8	accurately	accurately	ADV
esrj-119576	210	9	predict	predict	VERB
esrj-119576	210	10	rainfall	rainfall	NOUN
esrj-119576	210	11	patterns	pattern	NOUN
esrj-119576	210	12	,	,	PUNCT
esrj-119576	210	13	allowing	allow	VERB
esrj-119576	210	14	precise	precise	ADJ
esrj-119576	210	15	adjustments	adjustment	NOUN
esrj-119576	210	16	in	in	ADP
esrj-119576	210	17	crop	crop	NOUN
esrj-119576	210	18	selection	selection	NOUN
esrj-119576	210	19	,	,	PUNCT
esrj-119576	210	20	planting	planting	NOUN
esrj-119576	210	21	schedules	schedule	NOUN
esrj-119576	210	22	,	,	PUNCT
esrj-119576	210	23	and	and	CCONJ
esrj-119576	210	24	resource	resource	NOUN
esrj-119576	210	25	management	management	NOUN
esrj-119576	210	26	.	.	PUNCT
esrj-119576	211	1	this	this	DET
esrj-119576	211	2	precision	precision	NOUN
esrj-119576	211	3	enhances	enhance	VERB
esrj-119576	211	4	operational	operational	ADJ
esrj-119576	211	5	efficiency	efficiency	NOUN
esrj-119576	211	6	while	while	SCONJ
esrj-119576	211	7	promoting	promote	VERB
esrj-119576	211	8	sustainable	sustainable	ADJ
esrj-119576	211	9	practices	practice	NOUN
esrj-119576	211	10	,	,	PUNCT
esrj-119576	211	11	ensuring	ensure	VERB
esrj-119576	211	12	resilience	resilience	NOUN
esrj-119576	211	13	and	and	CCONJ
esrj-119576	211	14	longterm	longterm	VERB
esrj-119576	211	15	productivity	productivity	NOUN
esrj-119576	211	16	in	in	ADP
esrj-119576	211	17	an	an	DET
esrj-119576	211	18	increasingly	increasingly	ADV
esrj-119576	211	19	unpredictable	unpredictable	ADJ
esrj-119576	211	20	climate	climate	NOUN
esrj-119576	211	21	.	.	PUNCT
esrj-119576	212	1	372	372	NUM
esrj-119576	212	2	tanusree	tanusree	PROPN
esrj-119576	212	3	deb	deb	PROPN
esrj-119576	212	4	roy	roy	PROPN
esrj-119576	212	5	,	,	PUNCT
esrj-119576	212	6	dipanjali	dipanjali	PROPN
esrj-119576	212	7	ray	ray	PROPN
esrj-119576	212	8	,	,	PUNCT
esrj-119576	212	9	subhankar	subhankar	PROPN
esrj-119576	212	10	dutta	dutta	PROPN
esrj-119576	212	11	,	,	PUNCT
esrj-119576	212	12	and	and	CCONJ
esrj-119576	212	13	sebul	sebul	PROPN
esrj-119576	212	14	islam	islam	PROPN
esrj-119576	212	15	laskar	laskar	PROPN
esrj-119576	212	16	table	table	NOUN
esrj-119576	212	17	9	9	NUM
esrj-119576	212	18	.	.	PUNCT
esrj-119576	212	19	criteria	criterion	NOUN
esrj-119576	212	20	for	for	ADP
esrj-119576	212	21	comparison	comparison	NOUN
esrj-119576	212	22	of	of	ADP
esrj-119576	212	23	best	good	ADJ
esrj-119576	212	24	probability	probability	NOUN
esrj-119576	212	25	distribution	distribution	NOUN
esrj-119576	212	26	fitting	fitting	ADJ
esrj-119576	212	27	of	of	ADP
esrj-119576	212	28	total	total	ADJ
esrj-119576	212	29	monthly	monthly	ADJ
esrj-119576	212	30	rainfall	rainfall	NOUN
esrj-119576	212	31	in	in	ADP
esrj-119576	212	32	silchar	silchar	PROPN
esrj-119576	212	33	station	station	NOUN
esrj-119576	212	34	station	station	NOUN
esrj-119576	212	35	:	:	PUNCT
esrj-119576	212	36	silchar	silchar	PROPN
esrj-119576	212	37	criteria	criterion	NOUN
esrj-119576	212	38	for	for	ADP
esrj-119576	212	39	comparison	comparison	NOUN
esrj-119576	212	40	months	month	NOUN
esrj-119576	212	41	distribution	distribution	NOUN
esrj-119576	212	42	-2logl	-2logl	PRON
esrj-119576	212	43	aic	aic	PROPN
esrj-119576	212	44	bic	bic	PROPN
esrj-119576	212	45	ks	ks	PROPN
esrj-119576	212	46	-	-	PUNCT
esrj-119576	212	47	value	value	NOUN
esrj-119576	212	48	p	p	NOUN
esrj-119576	212	49	-	-	PUNCT
esrj-119576	212	50	value	value	NOUN
esrj-119576	212	51	january	january	PROPN
esrj-119576	212	52	gumbel	gumbel	NOUN
esrj-119576	212	53	272.3906	272.3906	NUM
esrj-119576	212	54	276.3906	276.3906	NUM
esrj-119576	212	55	279.6658	279.6658	NUM
esrj-119576	212	56	0.2059	0.2059	NUM
esrj-119576	212	57	0.0795	0.0795	NUM
esrj-119576	212	58	february	february	PROPN
esrj-119576	212	59	pearson	pearson	PROPN
esrj-119576	212	60	i	i	PRON
esrj-119576	212	61	279.4234	279.4234	NUM
esrj-119576	212	62	287.4234	287.4234	NUM
esrj-119576	212	63	293.9738	293.9738	NUM
esrj-119576	212	64	0.1315	0.1315	NUM
esrj-119576	212	65	0.4859	0.4859	NUM
esrj-119576	212	66	march	march	NOUN
esrj-119576	212	67	weibull	weibull	PROPN
esrj-119576	212	68	451.964	451.964	NUM
esrj-119576	212	69	455.964	455.964	NUM
esrj-119576	212	70	459.2392	459.2392	NUM
esrj-119576	212	71	0.0805	0.0805	NUM
esrj-119576	212	72	0.9495	0.9495	NUM
esrj-119576	212	73	april	april	PROPN
esrj-119576	212	74	pearson	pearson	PROPN
esrj-119576	213	1	i	i	PRON
esrj-119576	213	2	487.2584	487.2584	NUM
esrj-119576	214	1	495.2584	495.2584	NUM
esrj-119576	214	2	501.8087	501.8087	NUM
esrj-119576	214	3	0.1787	0.1787	NUM
esrj-119576	214	4	0.1558	0.1558	NUM
esrj-119576	214	5	may	may	AUX
esrj-119576	214	6	weibull	weibull	PROPN
esrj-119576	214	7	506.2132	506.2132	NUM
esrj-119576	214	8	510.2132	510.2132	NUM
esrj-119576	214	9	513.4883	513.4883	NUM
esrj-119576	214	10	0.0797	0.0797	NUM
esrj-119576	214	11	0.9534	0.9534	NUM
esrj-119576	214	12	june	june	PROPN
esrj-119576	214	13	pearson	pearson	PROPN
esrj-119576	214	14	ii	ii	PROPN
esrj-119576	215	1	501.6652	501.6652	NUM
esrj-119576	215	2	509.5792	509.5792	NUM
esrj-119576	215	3	516.1295	516.1295	NUM
esrj-119576	215	4	0.0798	0.0798	NUM
esrj-119576	215	5	0.9530	0.9530	NUM
esrj-119576	215	6	july	july	PROPN
esrj-119576	215	7	pearson	pearson	PROPN
esrj-119576	215	8	v	v	ADP
esrj-119576	215	9	486.2718	486.2718	NUM
esrj-119576	215	10	492.2718	492.2718	NUM
esrj-119576	216	1	497.1846	497.1846	NUM
esrj-119576	216	2	0.1070	0.1070	NUM
esrj-119576	216	3	0.7369	0.7369	NUM
esrj-119576	216	4	august	august	NOUN
esrj-119576	216	5	logistic	logistic	ADJ
esrj-119576	216	6	491.0006	491.0006	NUM
esrj-119576	216	7	495.0006	495.0006	NUM
esrj-119576	216	8	498.2758	498.2758	NUM
esrj-119576	216	9	0.0917	0.0917	NUM
esrj-119576	216	10	0.9061	0.9061	NUM
esrj-119576	216	11	september	september	PROPN
esrj-119576	216	12	pearson	pearson	PROPN
esrj-119576	216	13	iii	iii	PROPN
esrj-119576	216	14	485.5180	485.5180	NUM
esrj-119576	217	1	491.5180	491.5180	NUM
esrj-119576	217	2	496.4307	496.4307	NUM
esrj-119576	217	3	0.1172	0.1172	NUM
esrj-119576	217	4	0.6308	0.6308	NUM
esrj-119576	217	5	october	october	NOUN
esrj-119576	217	6	gumbel	gumbel	NOUN
esrj-119576	218	1	453.9594	453.9594	NUM
esrj-119576	218	2	457.9594	457.9594	PROPN
esrj-119576	218	3	461.2346	461.2346	NUM
esrj-119576	218	4	0.1388	0.1388	NUM
esrj-119576	218	5	0.4564	0.4564	NUM
esrj-119576	218	6	november	november	NOUN
esrj-119576	218	7	gumbel	gumbel	PROPN
esrj-119576	218	8	349.366	349.366	NUM
esrj-119576	218	9	353.3666	353.3666	NUM
esrj-119576	218	10	356.6412	356.6412	NUM
esrj-119576	218	11	0.2133	0.2133	NUM
esrj-119576	218	12	0.0628	0.0628	NUM
esrj-119576	218	13	december	december	PROPN
esrj-119576	218	14	weibull	weibull	PROPN
esrj-119576	219	1	408.8964	408.8964	NUM
esrj-119576	219	2	412.8965	412.8965	NUM
esrj-119576	219	3	416.1716	416.1716	NUM
esrj-119576	219	4	0.1858	0.1858	NUM
esrj-119576	219	5	0.1447	0.1447	NUM
esrj-119576	219	6	season	season	NOUN
esrj-119576	219	7	wise	wise	ADJ
esrj-119576	219	8	winter	winter	NOUN
esrj-119576	219	9	pearson	pearson	NOUN
esrj-119576	219	10	i	i	PRON
esrj-119576	220	1	280.6986	280.6986	NUM
esrj-119576	220	2	288.6986	288.6986	NUM
esrj-119576	220	3	295.3529	295.3529	NUM
esrj-119576	220	4	0.1282	0.1282	NUM
esrj-119576	220	5	0.5027	0.5027	NUM
esrj-119576	220	6	pre	pre	ADJ
esrj-119576	220	7	-	-	ADJ
esrj-119576	220	8	mon	mon	ADJ
esrj-119576	220	9	pearson	pearson	PROPN
esrj-119576	220	10	i	i	PROPN
esrj-119576	220	11	294.8297	294.8297	NUM
esrj-119576	220	12	302.8297	302.8297	NUM
esrj-119576	220	13	309.5852	309.5852	NUM
esrj-119576	220	14	0.1200	0.1200	NUM
esrj-119576	220	15	0.5192	0.5192	NUM
esrj-119576	220	16	monsoon	monsoon	NOUN
esrj-119576	220	17	logistic	logistic	ADJ
esrj-119576	220	18	1995.745	1995.745	NUM
esrj-119576	220	19	1999.745	1999.745	NUM
esrj-119576	220	20	2005.793	2005.793	NUM
esrj-119576	220	21	0.0424	0.0424	NUM
esrj-119576	220	22	0.9467	0.9467	NUM
esrj-119576	220	23	post	post	ADJ
esrj-119576	220	24	-	-	ADJ
esrj-119576	220	25	mon	mon	ADJ
esrj-119576	220	26	table	table	NOUN
esrj-119576	220	27	10	10	NUM
esrj-119576	220	28	.	.	PUNCT
esrj-119576	220	29	criteria	criterion	NOUN
esrj-119576	220	30	for	for	ADP
esrj-119576	220	31	comparison	comparison	NOUN
esrj-119576	220	32	of	of	ADP
esrj-119576	220	33	best	good	ADJ
esrj-119576	220	34	probability	probability	NOUN
esrj-119576	220	35	distribution	distribution	NOUN
esrj-119576	220	36	fitting	fitting	ADJ
esrj-119576	220	37	of	of	ADP
esrj-119576	220	38	total	total	ADJ
esrj-119576	220	39	monthly	monthly	ADJ
esrj-119576	220	40	rainfall	rainfall	NOUN
esrj-119576	220	41	in	in	ADP
esrj-119576	220	42	tezpur	tezpur	PROPN
esrj-119576	220	43	station	station	NOUN
esrj-119576	220	44	station	station	NOUN
esrj-119576	220	45	:	:	PUNCT
esrj-119576	220	46	tezpur	tezpur	NOUN
esrj-119576	220	47	months	month	NOUN
esrj-119576	220	48	distribution	distribution	NOUN
esrj-119576	220	49	-2logl	-2logl	PRON
esrj-119576	220	50	aic	aic	PROPN
esrj-119576	220	51	bic	bic	PROPN
esrj-119576	220	52	ks	ks	PROPN
esrj-119576	220	53	-	-	PUNCT
esrj-119576	220	54	value	value	NOUN
esrj-119576	220	55	p	p	NOUN
esrj-119576	220	56	-	-	PUNCT
esrj-119576	220	57	value	value	NOUN
esrj-119576	220	58	january	january	PROPN
esrj-119576	220	59	pearson	pearson	PROPN
esrj-119576	220	60	i	i	PROPN
esrj-119576	220	61	74.2633	74.2633	NUM
esrj-119576	221	1	82.2633	82.2633	NUM
esrj-119576	222	1	88.8137	88.8137	NUM
esrj-119576	222	2	0.1861	0.1861	NUM
esrj-119576	222	3	0.1263	0.1263	NUM
esrj-119576	222	4	february	february	NOUN
esrj-119576	222	5	pearson	pearson	NOUN
esrj-119576	222	6	i	i	PROPN
esrj-119576	222	7	293.1259	293.1259	NUM
esrj-119576	222	8	301.1259	301.1259	NUM
esrj-119576	222	9	307.6762	307.6762	NUM
esrj-119576	222	10	0.0677	0.0677	NUM
esrj-119576	222	11	0.9901	0.9901	NUM
esrj-119576	222	12	march	march	NOUN
esrj-119576	222	13	pearson	pearson	PROPN
esrj-119576	222	14	i	i	PRON
esrj-119576	222	15	332.5493	332.5493	NUM
esrj-119576	222	16	340.5493	340.5493	NUM
esrj-119576	222	17	347.0996	347.0996	NUM
esrj-119576	222	18	0.0943	0.0943	NUM
esrj-119576	222	19	0.8563	0.8563	NUM
esrj-119576	222	20	april	april	PROPN
esrj-119576	222	21	gamma	gamma	NOUN
esrj-119576	222	22	411.9816	411.9816	NUM
esrj-119576	222	23	445.9816	445.9816	NUM
esrj-119576	222	24	449.2568	449.2568	NUM
esrj-119576	222	25	0.0917	0.0917	NUM
esrj-119576	222	26	0.8775	0.8775	NUM
esrj-119576	222	27	may	may	AUX
esrj-119576	222	28	weibull	weibull	PROPN
esrj-119576	222	29	446.7120	446.7120	NUM
esrj-119576	222	30	450.7119	450.7119	NUM
esrj-119576	223	1	453.9871	453.9871	NUM
esrj-119576	223	2	0.0962	0.0962	NUM
esrj-119576	223	3	0.873	0.873	NUM
esrj-119576	223	4	june	june	PROPN
esrj-119576	223	5	pearson	pearson	PROPN
esrj-119576	223	6	0	0	NUM
esrj-119576	224	1	484.9906	484.9906	NUM
esrj-119576	224	2	488.9906	488.9906	NUM
esrj-119576	224	3	492.2658	492.2658	NUM
esrj-119576	224	4	0.0835	0.0835	NUM
esrj-119576	224	5	0.9334	0.9334	NUM
esrj-119576	224	6	july	july	PROPN
esrj-119576	224	7	gamma	gamma	NOUN
esrj-119576	224	8	454.6172	454.6172	NUM
esrj-119576	224	9	458.6172	458.6172	NUM
esrj-119576	224	10	461.8924	461.8924	NOUN
esrj-119576	224	11	0.0989	0.0989	NUM
esrj-119576	224	12	0.8511	0.8511	NUM
esrj-119576	224	13	august	august	PROPN
esrj-119576	224	14	pearson	pearson	PROPN
esrj-119576	225	1	i	i	PRON
esrj-119576	225	2	452.3756	452.3756	NUM
esrj-119576	225	3	460.3756	460.3756	NUM
esrj-119576	225	4	466.9259	466.9259	NUM
esrj-119576	225	5	0.1027	0.1027	NUM
esrj-119576	225	6	0.7793	0.7793	NUM
esrj-119576	225	7	september	september	PROPN
esrj-119576	225	8	pearson	pearson	NOUN
esrj-119576	225	9	i	i	NOUN
esrj-119576	225	10	444.3329	444.3329	PROPN
esrj-119576	225	11	452.3329	452.3329	NUM
esrj-119576	225	12	458.1402	458.1402	NUM
esrj-119576	225	13	0.1215	0.1215	NUM
esrj-119576	225	14	0.6280	0.6280	NUM
esrj-119576	225	15	october	october	PROPN
esrj-119576	225	16	pearson	pearson	NOUN
esrj-119576	225	17	i	i	PROPN
esrj-119576	225	18	396.8594	396.8594	NUM
esrj-119576	225	19	404.8594	404.8594	NUM
esrj-119576	225	20	411.4098	411.4098	NUM
esrj-119576	225	21	0.0813	0.0813	NUM
esrj-119576	225	22	0.9453	0.9453	NUM
esrj-119576	225	23	november	november	PROPN
esrj-119576	225	24	pearson	pearson	NOUN
esrj-119576	225	25	i	i	PRON
esrj-119576	225	26	94.5341	94.5341	NUM
esrj-119576	225	27	102.5341	102.5341	NUM
esrj-119576	225	28	108.8682	108.8682	NUM
esrj-119576	225	29	0.218	0.218	NUM
esrj-119576	225	30	0.0555	0.0555	NUM
esrj-119576	225	31	december	december	PROPN
esrj-119576	225	32	pearson	pearson	NOUN
esrj-119576	226	1	i	i	PRON
esrj-119576	226	2	46.8992	46.8992	NUM
esrj-119576	226	3	54.8992	54.8992	NUM
esrj-119576	226	4	61.3428	61.3428	NUM
esrj-119576	226	5	0.1351	0.1351	NUM
esrj-119576	226	6	0.4684	0.4684	NUM
esrj-119576	226	7	season	season	NOUN
esrj-119576	226	8	wise	wise	ADJ
esrj-119576	226	9	winter	winter	NOUN
esrj-119576	226	10	pearson	pearson	NOUN
esrj-119576	226	11	i	i	PRON
esrj-119576	226	12	399.0063	399.0063	NUM
esrj-119576	226	13	407.0063	407.0063	NUM
esrj-119576	226	14	416.3293	416.3293	NUM
esrj-119576	226	15	0.1032	0.1032	NUM
esrj-119576	226	16	0.3674	0.3674	NUM
esrj-119576	226	17	pre	pre	ADJ
esrj-119576	226	18	-	-	ADJ
esrj-119576	226	19	mon	mon	ADJ
esrj-119576	226	20	pearson	pearson	NOUN
esrj-119576	226	21	i	i	PRON
esrj-119576	226	22	1352.836	1352.836	NUM
esrj-119576	226	23	1360.836	1360.836	NUM
esrj-119576	226	24	1371.78	1371.78	NUM
esrj-119576	226	25	0.0678	0.0678	NUM
esrj-119576	226	26	0.6446	0.6446	NUM
esrj-119576	226	27	monsoon	monsoon	NOUN
esrj-119576	226	28	gumbel	gumbel	PROPN
esrj-119576	226	29	1879.527	1879.527	NUM
esrj-119576	226	30	1833.527	1833.527	NUM
esrj-119576	226	31	1889.575	1889.575	NUM
esrj-119576	226	32	0.0531	0.0531	NUM
esrj-119576	226	33	0.7835	0.7835	NUM
esrj-119576	226	34	post	post	ADJ
esrj-119576	226	35	-	-	ADJ
esrj-119576	226	36	mon	mon	ADJ
esrj-119576	226	37	pearson	pearson	NOUN
esrj-119576	227	1	i	i	PRON
esrj-119576	227	2	588.7287	588.7287	NUM
esrj-119576	227	3	596.7287	596.7287	NUM
esrj-119576	227	4	607.5668	607.5668	NUM
esrj-119576	227	5	0.1084	0.1084	NUM
esrj-119576	227	6	0.1387	0.1387	NUM
esrj-119576	227	7	373fitting	373fitting	PROPN
esrj-119576	227	8	of	of	ADP
esrj-119576	227	9	statistical	statistical	ADJ
esrj-119576	227	10	distribution	distribution	NOUN
esrj-119576	227	11	in	in	ADP
esrj-119576	227	12	assessing	assess	VERB
esrj-119576	227	13	rainfall	rainfall	NOUN
esrj-119576	227	14	patterns	pattern	NOUN
esrj-119576	227	15	across	across	ADP
esrj-119576	227	16	various	various	ADJ
esrj-119576	227	17	zones	zone	NOUN
esrj-119576	227	18	of	of	ADP
esrj-119576	227	19	assam	assam	PROPN
esrj-119576	227	20	,	,	PUNCT
esrj-119576	227	21	india	india	PROPN
esrj-119576	227	22	table	table	PROPN
esrj-119576	227	23	11	11	NUM
esrj-119576	227	24	.	.	PUNCT
esrj-119576	228	1	criteria	criterion	NOUN
esrj-119576	228	2	for	for	ADP
esrj-119576	228	3	comparison	comparison	NOUN
esrj-119576	228	4	of	of	ADP
esrj-119576	228	5	best	good	ADJ
esrj-119576	228	6	probability	probability	NOUN
esrj-119576	228	7	distribution	distribution	NOUN
esrj-119576	228	8	fitting	fitting	ADJ
esrj-119576	228	9	of	of	ADP
esrj-119576	228	10	total	total	ADJ
esrj-119576	228	11	monthly	monthly	ADJ
esrj-119576	228	12	rainfall	rainfall	NOUN
esrj-119576	228	13	in	in	ADP
esrj-119576	228	14	dibrugarh	dibrugarh	NOUN
esrj-119576	228	15	station	station	NOUN
esrj-119576	228	16	station	station	NOUN
esrj-119576	228	17	:	:	PUNCT
esrj-119576	228	18	dibrugarh	dibrugarh	NOUN
esrj-119576	228	19	months	month	NOUN
esrj-119576	228	20	distribution	distribution	NOUN
esrj-119576	228	21	-2logl	-2logl	PRON
esrj-119576	228	22	aic	aic	PROPN
esrj-119576	228	23	bic	bic	PROPN
esrj-119576	228	24	ks	ks	PROPN
esrj-119576	228	25	-	-	PUNCT
esrj-119576	228	26	value	value	NOUN
esrj-119576	228	27	p	p	NOUN
esrj-119576	228	28	-	-	PUNCT
esrj-119576	228	29	value	value	NOUN
esrj-119576	228	30	january	january	PROPN
esrj-119576	228	31	weibull	weibull	NOUN
esrj-119576	229	1	314.4238	314.4238	NUM
esrj-119576	229	2	318.4238	318.4238	NUM
esrj-119576	229	3	321.6989	321.6989	NUM
esrj-119576	229	4	0.1380	0.1380	NUM
esrj-119576	229	5	0.4637	0.4637	NUM
esrj-119576	229	6	february	february	NOUN
esrj-119576	229	7	weibull	weibull	NOUN
esrj-119576	229	8	385.9224	385.9224	NUM
esrj-119576	229	9	389.9224	389.9224	NUM
esrj-119576	229	10	393.1976	393.1976	NUM
esrj-119576	229	11	0.0857	0.0857	NUM
esrj-119576	229	12	0.9427	0.9427	NUM
esrj-119576	229	13	march	march	NOUN
esrj-119576	229	14	pearson	pearson	NOUN
esrj-119576	229	15	i	i	PRON
esrj-119576	229	16	381.6493	381.6493	NUM
esrj-119576	229	17	389.6493	389.6493	NUM
esrj-119576	229	18	396.1997	396.1997	NUM
esrj-119576	229	19	0.1235	0.1235	NUM
esrj-119576	229	20	0.5656	0.5656	NUM
esrj-119576	229	21	april	april	PROPN
esrj-119576	229	22	weibull	weibull	NOUN
esrj-119576	230	1	314.4238	314.4238	NUM
esrj-119576	230	2	318.4238	318.4238	NUM
esrj-119576	230	3	321.6989	321.6989	NUM
esrj-119576	230	4	0.138	0.138	NUM
esrj-119576	230	5	0.4637	0.4637	NUM
esrj-119576	230	6	may	may	AUX
esrj-119576	230	7	pearson	pearson	VERB
esrj-119576	230	8	iii	iii	PROPN
esrj-119576	231	1	481.0075	481.0075	PROPN
esrj-119576	232	1	487.0075	487.0075	NUM
esrj-119576	233	1	491.9202	491.9202	NUM
esrj-119576	233	2	0.1004	0.1004	NUM
esrj-119576	233	3	0.8015	0.8015	NUM
esrj-119576	233	4	june	june	NOUN
esrj-119576	233	5	logistic	logistic	VERB
esrj-119576	233	6	493.8898	493.8898	NUM
esrj-119576	234	1	497.8899	497.8899	NUM
esrj-119576	234	2	501.1651	501.1651	NUM
esrj-119576	234	3	0.0856	0.0856	NUM
esrj-119576	234	4	0.9205	0.9205	NUM
esrj-119576	234	5	july	july	PROPN
esrj-119576	234	6	pearson	pearson	PROPN
esrj-119576	234	7	i	i	PRON
esrj-119576	234	8	466.1879	466.1879	NUM
esrj-119576	234	9	474.1879	474.1879	NUM
esrj-119576	234	10	480.7382	480.7382	NUM
esrj-119576	234	11	0.0748	0.0748	NUM
esrj-119576	234	12	0.9726	0.9726	NUM
esrj-119576	234	13	august	august	PROPN
esrj-119576	234	14	logistic	logistic	NOUN
esrj-119576	234	15	487.8244	487.8244	NUM
esrj-119576	234	16	491.8243	491.8243	NUM
esrj-119576	234	17	495.0995	495.0995	NUM
esrj-119576	234	18	0.1525	0.1525	NUM
esrj-119576	234	19	0.3394	0.3394	NUM
esrj-119576	234	20	september	september	PROPN
esrj-119576	234	21	pearson	pearson	NOUN
esrj-119576	235	1	i	i	PRON
esrj-119576	235	2	463.8983	463.8983	NUM
esrj-119576	236	1	471.8983	471.8983	NUM
esrj-119576	237	1	478.4487	478.4487	NUM
esrj-119576	237	2	0.1112	0.1112	NUM
esrj-119576	237	3	0.6937	0.6937	NUM
esrj-119576	237	4	october	october	PROPN
esrj-119576	237	5	pearson	pearson	NOUN
esrj-119576	237	6	i	i	PRON
esrj-119576	237	7	411.8757	411.8757	NUM
esrj-119576	237	8	419.8757	419.8757	NUM
esrj-119576	237	9	426.426	426.426	NUM
esrj-119576	237	10	0.1434	0.1434	NUM
esrj-119576	237	11	0.3784	0.3784	NUM
esrj-119576	237	12	november	november	PROPN
esrj-119576	237	13	gumbel	gumbel	PROPN
esrj-119576	238	1	372.4454	372.4454	NUM
esrj-119576	238	2	376.4454	376.4454	NUM
esrj-119576	238	3	379.7205	379.7205	NUM
esrj-119576	238	4	0.1657	0.1657	NUM
esrj-119576	238	5	0.2477	0.2477	NUM
esrj-119576	238	6	december	december	PROPN
esrj-119576	238	7	weibull	weibull	NOUN
esrj-119576	238	8	190.1	190.1	NUM
esrj-119576	238	9	194.1	194.1	NUM
esrj-119576	238	10	197.3219	197.3219	NUM
esrj-119576	238	11	0.1949	0.1949	NUM
esrj-119576	238	12	0.1200	0.1200	NUM
esrj-119576	238	13	season	season	NOUN
esrj-119576	238	14	wise	wise	ADJ
esrj-119576	238	15	winter	winter	NOUN
esrj-119576	238	16	weibull	weibull	PROPN
esrj-119576	238	17	722.0576	722.0576	NUM
esrj-119576	239	1	726.0576	726.0576	NUM
esrj-119576	239	2	730.719	730.719	NUM
esrj-119576	239	3	0.0617	0.0617	NUM
esrj-119576	239	4	0.9341	0.9341	NUM
esrj-119576	239	5	pre	pre	ADJ
esrj-119576	239	6	-	-	ADJ
esrj-119576	239	7	mon	mon	ADJ
esrj-119576	239	8	gamma	gamma	NOUN
esrj-119576	239	9	1412.07	1412.07	NUM
esrj-119576	239	10	1416.0700	1416.0700	NUM
esrj-119576	239	11	1421.542	1421.542	NUM
esrj-119576	239	12	0.0532	0.0532	NUM
esrj-119576	239	13	0.9341	0.9341	NUM
esrj-119576	239	14	monsoon	monsoon	PROPN
esrj-119576	239	15	pearson	pearson	PROPN
esrj-119576	239	16	iii	iii	PROPN
esrj-119576	240	1	1953.289	1953.289	NUM
esrj-119576	240	2	1957.337	1957.337	NUM
esrj-119576	240	3	1963.337	1963.337	NUM
esrj-119576	240	4	0.0373	0.0373	NUM
esrj-119576	240	5	0.9786	0.9786	NUM
esrj-119576	240	6	post	post	ADJ
esrj-119576	240	7	-	-	ADJ
esrj-119576	240	8	mon	mon	ADJ
esrj-119576	240	9	weibull	weibull	PROPN
esrj-119576	240	10	992.6616	992.6616	NUM
esrj-119576	240	11	996.6616	996.6616	NUM
esrj-119576	240	12	1002.081	1002.081	NUM
esrj-119576	240	13	0.1123	0.1123	NUM
esrj-119576	240	14	0.1214	0.1214	NUM
esrj-119576	240	15	table	table	NOUN
esrj-119576	240	16	12	12	NUM
esrj-119576	240	17	.	.	PUNCT
esrj-119576	241	1	criteria	criterion	NOUN
esrj-119576	241	2	for	for	ADP
esrj-119576	241	3	comparison	comparison	NOUN
esrj-119576	241	4	of	of	ADP
esrj-119576	241	5	best	good	ADJ
esrj-119576	241	6	probability	probability	NOUN
esrj-119576	241	7	distribution	distribution	NOUN
esrj-119576	241	8	fitting	fitting	ADJ
esrj-119576	241	9	of	of	ADP
esrj-119576	241	10	total	total	ADJ
esrj-119576	241	11	monthly	monthly	ADJ
esrj-119576	241	12	rainfall	rainfall	NOUN
esrj-119576	241	13	in	in	ADP
esrj-119576	241	14	dhubri	dhubri	NOUN
esrj-119576	241	15	station	station	NOUN
esrj-119576	241	16	station	station	NOUN
esrj-119576	241	17	:	:	PUNCT
esrj-119576	241	18	dhubri	dhubri	NOUN
esrj-119576	241	19	months	month	NOUN
esrj-119576	241	20	distribution	distribution	NOUN
esrj-119576	241	21	-2logl	-2logl	PRON
esrj-119576	241	22	aic	aic	PROPN
esrj-119576	241	23	bic	bic	PROPN
esrj-119576	241	24	ks	ks	PROPN
esrj-119576	241	25	-	-	PUNCT
esrj-119576	241	26	value	value	NOUN
esrj-119576	241	27	p	p	NOUN
esrj-119576	241	28	-	-	PUNCT
esrj-119576	241	29	value	value	NOUN
esrj-119576	241	30	january	january	PROPN
esrj-119576	241	31	february	february	PROPN
esrj-119576	241	32	gamma	gamma	PROPN
esrj-119576	242	1	112.5378	112.5378	NUM
esrj-119576	242	2	316.5378	316.5378	NUM
esrj-119576	242	3	319.813	319.813	NUM
esrj-119576	242	4	0.2032	0.2032	NUM
esrj-119576	242	5	0.0864	0.0864	NUM
esrj-119576	242	6	march	march	NOUN
esrj-119576	242	7	gumbel	gumbel	PROPN
esrj-119576	243	1	401.4268	401.4268	NUM
esrj-119576	243	2	405.4268	405.4268	NUM
esrj-119576	243	3	408.7019	408.7019	NUM
esrj-119576	243	4	0.1792	0.1792	NUM
esrj-119576	243	5	0.1740	0.1740	NUM
esrj-119576	243	6	april	april	PROPN
esrj-119576	243	7	gumbel	gumbel	PROPN
esrj-119576	244	1	460.5102	460.5102	NUM
esrj-119576	244	2	464.5102	464.5102	NUM
esrj-119576	244	3	467.7853	467.7853	NUM
esrj-119576	244	4	0.1120	0.1120	NUM
esrj-119576	244	5	0.7264	0.7264	NUM
esrj-119576	244	6	may	may	AUX
esrj-119576	244	7	logistic	logistic	VERB
esrj-119576	244	8	477.3674	477.3674	NUM
esrj-119576	244	9	481.3674	481.3674	NUM
esrj-119576	244	10	484.6426	484.6426	NUM
esrj-119576	244	11	0.1262	0.1262	NUM
esrj-119576	244	12	0.5802	0.5802	NUM
esrj-119576	244	13	june	june	PROPN
esrj-119576	244	14	weibull	weibull	NOUN
esrj-119576	244	15	503.5918	503.5918	NUM
esrj-119576	244	16	507.5918	507.5918	NUM
esrj-119576	244	17	510.867	510.867	NUM
esrj-119576	244	18	0.0749	0.0749	NUM
esrj-119576	244	19	0.9225	0.9225	NUM
esrj-119576	244	20	july	july	PROPN
esrj-119576	244	21	pearson	pearson	PROPN
esrj-119576	244	22	v	v	ADP
esrj-119576	244	23	486.2718	486.2718	NUM
esrj-119576	244	24	492.2718	492.2718	NUM
esrj-119576	245	1	497.1846	497.1846	NUM
esrj-119576	245	2	0.10702	0.10702	NUM
esrj-119576	245	3	0.7369	0.7369	NUM
esrj-119576	245	4	august	august	NOUN
esrj-119576	245	5	gumbel	gumbel	PROPN
esrj-119576	246	1	494.8362	494.8362	PROPN
esrj-119576	246	2	498.8362	498.8362	NUM
esrj-119576	246	3	502.143	502.143	NUM
esrj-119576	246	4	0.0944	0.0944	NUM
esrj-119576	246	5	0.8872	0.8872	NUM
esrj-119576	246	6	september	september	PROPN
esrj-119576	246	7	gamma	gamma	NOUN
esrj-119576	247	1	482.6098	482.6098	NUM
esrj-119576	247	2	486.6098	486.6098	NUM
esrj-119576	247	3	489.8849	489.8849	NUM
esrj-119576	247	4	0.1099	0.1099	NUM
esrj-119576	247	5	0.7477	0.7477	NUM
esrj-119576	247	6	october	october	PROPN
esrj-119576	247	7	weibull	weibull	NOUN
esrj-119576	247	8	454.9794	454.9794	NUM
esrj-119576	247	9	458.9793	458.9793	NUM
esrj-119576	247	10	462.9793	462.9793	NUM
esrj-119576	247	11	0.1485	0.1485	NUM
esrj-119576	247	12	0.3715	0.3715	NUM
esrj-119576	247	13	november	november	PROPN
esrj-119576	247	14	pearson	pearson	PROPN
esrj-119576	247	15	i	i	PRON
esrj-119576	247	16	124.111	124.111	NUM
esrj-119576	247	17	132.111	132.111	NUM
esrj-119576	247	18	138.6614	138.6614	NUM
esrj-119576	247	19	0.1323	0.1323	NUM
esrj-119576	247	20	0.4784	0.4784	NUM
esrj-119576	247	21	december	december	PROPN
esrj-119576	247	22	season	season	NOUN
esrj-119576	247	23	wise	wise	ADJ
esrj-119576	247	24	winter	winter	NOUN
esrj-119576	247	25	pre	pre	NOUN
esrj-119576	247	26	-	-	NOUN
esrj-119576	247	27	mon	mon	ADJ
esrj-119576	247	28	gumbel	gumbel	PROPN
esrj-119576	248	1	1452.097	1452.097	NUM
esrj-119576	248	2	1461.569	1461.569	NUM
esrj-119576	248	3	1461.569	1461.569	NUM
esrj-119576	248	4	0.0779	0.0779	NUM
esrj-119576	248	5	0.4926	0.4926	NUM
esrj-119576	248	6	monsoon	monsoon	NOUN
esrj-119576	248	7	weibull	weibull	NOUN
esrj-119576	248	8	1501.223	1501.223	NUM
esrj-119576	248	9	1505.223	1505.223	NUM
esrj-119576	248	10	1510.696	1510.696	NUM
esrj-119576	248	11	0.0536	0.0536	NUM
esrj-119576	248	12	0.8979	0.8979	NUM
esrj-119576	248	13	pearson	pearson	PROPN
esrj-119576	248	14	iii	iii	PROPN
esrj-119576	248	15	1499.329	1499.329	PROPN
esrj-119576	248	16	1505.329	1505.329	NUM
esrj-119576	248	17	1513.537	1513.537	NUM
esrj-119576	248	18	0.0556	0.0556	NUM
esrj-119576	248	19	0.8519	0.8519	NUM
esrj-119576	248	20	post	post	ADJ
esrj-119576	248	21	-	-	ADJ
esrj-119576	248	22	mon	mon	ADJ
esrj-119576	248	23	374	374	NUM
esrj-119576	248	24	tanusree	tanusree	NOUN
esrj-119576	248	25	deb	deb	PROPN
esrj-119576	248	26	roy	roy	PROPN
esrj-119576	248	27	,	,	PUNCT
esrj-119576	248	28	dipanjali	dipanjali	PROPN
esrj-119576	248	29	ray	ray	PROPN
esrj-119576	248	30	,	,	PUNCT
esrj-119576	248	31	subhankar	subhankar	PROPN
esrj-119576	248	32	dutta	dutta	PROPN
esrj-119576	248	33	,	,	PUNCT
esrj-119576	248	34	and	and	CCONJ
esrj-119576	248	35	sebul	sebul	PROPN
esrj-119576	248	36	islam	islam	PROPN
esrj-119576	248	37	laskar	laskar	PROPN
esrj-119576	248	38	4	4	NUM
esrj-119576	248	39	.	.	PUNCT
esrj-119576	248	40	conclusion	conclusion	NOUN
esrj-119576	248	41	in	in	ADP
esrj-119576	248	42	this	this	DET
esrj-119576	248	43	study	study	NOUN
esrj-119576	248	44	ten	ten	NUM
esrj-119576	248	45	probability	probability	NOUN
esrj-119576	248	46	distribution	distribution	NOUN
esrj-119576	248	47	functions	function	NOUN
esrj-119576	248	48	were	be	AUX
esrj-119576	248	49	considered	consider	VERB
esrj-119576	248	50	to	to	PART
esrj-119576	248	51	fit	fit	VERB
esrj-119576	248	52	the	the	DET
esrj-119576	248	53	monthly	monthly	ADJ
esrj-119576	248	54	and	and	CCONJ
esrj-119576	248	55	season	season	NOUN
esrj-119576	248	56	wise	wise	ADJ
esrj-119576	248	57	rainfall	rainfall	NOUN
esrj-119576	248	58	data	datum	NOUN
esrj-119576	248	59	of	of	ADP
esrj-119576	248	60	five	five	NUM
esrj-119576	248	61	zones	zone	NOUN
esrj-119576	248	62	of	of	ADP
esrj-119576	248	63	assam	assam	PROPN
esrj-119576	248	64	.	.	PUNCT
esrj-119576	249	1	from	from	ADP
esrj-119576	249	2	the	the	DET
esrj-119576	249	3	analysis	analysis	NOUN
esrj-119576	249	4	,	,	PUNCT
esrj-119576	249	5	the	the	DET
esrj-119576	249	6	results	result	NOUN
esrj-119576	249	7	reveal	reveal	VERB
esrj-119576	249	8	the	the	DET
esrj-119576	249	9	statistical	statistical	ADJ
esrj-119576	249	10	frame	frame	NOUN
esrj-119576	249	11	of	of	ADP
esrj-119576	249	12	data	datum	NOUN
esrj-119576	249	13	set	set	VERB
esrj-119576	249	14	for	for	ADP
esrj-119576	249	15	each	each	DET
esrj-119576	249	16	station	station	NOUN
esrj-119576	249	17	.	.	PUNCT
esrj-119576	250	1	considering	consider	VERB
esrj-119576	250	2	all	all	DET
esrj-119576	250	3	the	the	DET
esrj-119576	250	4	months	month	NOUN
esrj-119576	250	5	and	and	CCONJ
esrj-119576	250	6	seasons	season	NOUN
esrj-119576	250	7	of	of	ADP
esrj-119576	250	8	five	five	NUM
esrj-119576	250	9	stations	station	NOUN
esrj-119576	250	10	,	,	PUNCT
esrj-119576	250	11	the	the	DET
esrj-119576	250	12	month	month	NOUN
esrj-119576	250	13	of	of	ADP
esrj-119576	250	14	june	june	PROPN
esrj-119576	250	15	for	for	ADP
esrj-119576	250	16	dhubri	dhubri	NOUN
esrj-119576	250	17	station	station	NOUN
esrj-119576	250	18	shows	show	VERB
esrj-119576	250	19	the	the	DET
esrj-119576	250	20	highest	high	ADJ
esrj-119576	250	21	sd	sd	ADP
esrj-119576	250	22	(	(	PUNCT
esrj-119576	250	23	281.681	281.681	NUM
esrj-119576	250	24	)	)	PUNCT
esrj-119576	250	25	and	and	CCONJ
esrj-119576	250	26	monsoon	monsoon	NOUN
esrj-119576	250	27	(	(	PUNCT
esrj-119576	250	28	233.280	233.280	NUM
esrj-119576	250	29	)	)	PUNCT
esrj-119576	250	30	season	season	NOUN
esrj-119576	250	31	of	of	ADP
esrj-119576	250	32	dhubri	dhubri	NOUN
esrj-119576	250	33	gives	give	VERB
esrj-119576	250	34	peak	peak	NOUN
esrj-119576	250	35	of	of	ADP
esrj-119576	250	36	sd	sd	ADP
esrj-119576	250	37	which	which	PRON
esrj-119576	250	38	indicates	indicate	VERB
esrj-119576	250	39	there	there	PRON
esrj-119576	250	40	is	be	VERB
esrj-119576	250	41	a	a	DET
esrj-119576	250	42	higher	high	ADJ
esrj-119576	250	43	deviation	deviation	NOUN
esrj-119576	250	44	in	in	ADP
esrj-119576	250	45	rainfall	rainfall	NOUN
esrj-119576	250	46	data	datum	NOUN
esrj-119576	250	47	in	in	ADP
esrj-119576	250	48	the	the	DET
esrj-119576	250	49	month	month	NOUN
esrj-119576	250	50	of	of	ADP
esrj-119576	250	51	june	june	PROPN
esrj-119576	250	52	and	and	CCONJ
esrj-119576	250	53	in	in	ADP
esrj-119576	250	54	monsoon	monsoon	NOUN
esrj-119576	250	55	(	(	PUNCT
esrj-119576	250	56	june	june	PROPN
esrj-119576	250	57	,	,	PUNCT
esrj-119576	250	58	july	july	PROPN
esrj-119576	250	59	,	,	PUNCT
esrj-119576	250	60	august	august	PROPN
esrj-119576	250	61	,	,	PUNCT
esrj-119576	250	62	september	september	PROPN
esrj-119576	250	63	)	)	PUNCT
esrj-119576	250	64	season	season	NOUN
esrj-119576	250	65	amongst	amongst	ADP
esrj-119576	250	66	the	the	DET
esrj-119576	250	67	five	five	NUM
esrj-119576	250	68	stations	station	NOUN
esrj-119576	250	69	.	.	PUNCT
esrj-119576	251	1	the	the	DET
esrj-119576	251	2	criteria	criterion	NOUN
esrj-119576	251	3	of	of	ADP
esrj-119576	251	4	best	good	ADJ
esrj-119576	251	5	fitting	fitting	ADJ
esrj-119576	251	6	of	of	ADP
esrj-119576	251	7	selected	select	VERB
esrj-119576	251	8	distributions	distribution	NOUN
esrj-119576	251	9	are	be	AUX
esrj-119576	251	10	elaborately	elaborately	ADV
esrj-119576	251	11	explained	explain	VERB
esrj-119576	251	12	along	along	ADP
esrj-119576	251	13	with	with	ADP
esrj-119576	251	14	the	the	DET
esrj-119576	251	15	estimation	estimation	NOUN
esrj-119576	251	16	of	of	ADP
esrj-119576	251	17	parameter	parameter	NOUN
esrj-119576	251	18	.	.	PUNCT
esrj-119576	252	1	the	the	DET
esrj-119576	252	2	weibull	weibull	PROPN
esrj-119576	252	3	distribution	distribution	NOUN
esrj-119576	252	4	fits	fit	VERB
esrj-119576	252	5	best	good	ADJ
esrj-119576	252	6	in	in	ADP
esrj-119576	252	7	the	the	DET
esrj-119576	252	8	month	month	NOUN
esrj-119576	252	9	of	of	ADP
esrj-119576	252	10	january	january	PROPN
esrj-119576	252	11	and	and	CCONJ
esrj-119576	252	12	pearson	pearson	PROPN
esrj-119576	252	13	v	v	PROPN
esrj-119576	252	14	fits	fit	VERB
esrj-119576	252	15	best	good	ADJ
esrj-119576	252	16	in	in	ADP
esrj-119576	252	17	winter	winter	NOUN
esrj-119576	252	18	season	season	NOUN
esrj-119576	252	19	considering	consider	VERB
esrj-119576	252	20	ten	ten	NUM
esrj-119576	252	21	distributions	distribution	NOUN
esrj-119576	252	22	with	with	ADP
esrj-119576	252	23	least	least	ADJ
esrj-119576	252	24	-2logl	-2logl	NOUN
esrj-119576	252	25	,	,	PUNCT
esrj-119576	252	26	aic	aic	PROPN
esrj-119576	252	27	,	,	PUNCT
esrj-119576	252	28	bic	bic	PROPN
esrj-119576	252	29	,	,	PUNCT
esrj-119576	252	30	k	k	PROPN
esrj-119576	252	31	-	-	PUNCT
esrj-119576	252	32	s	s	NOUN
esrj-119576	252	33	value	value	NOUN
esrj-119576	252	34	with	with	ADP
esrj-119576	252	35	a	a	DET
esrj-119576	252	36	p	p	NOUN
esrj-119576	252	37	-	-	PUNCT
esrj-119576	252	38	value	value	NOUN
esrj-119576	252	39	greater	great	ADJ
esrj-119576	252	40	than	than	ADP
esrj-119576	252	41	0.05	0.05	NUM
esrj-119576	252	42	in	in	ADP
esrj-119576	252	43	guwahati	guwahati	NOUN
esrj-119576	252	44	station	station	NOUN
esrj-119576	252	45	.	.	PUNCT
esrj-119576	253	1	likewise	likewise	ADV
esrj-119576	253	2	,	,	PUNCT
esrj-119576	253	3	the	the	DET
esrj-119576	253	4	best	well	ADV
esrj-119576	253	5	fitting	fitting	ADJ
esrj-119576	253	6	distribution	distribution	NOUN
esrj-119576	253	7	along	along	ADP
esrj-119576	253	8	with	with	ADP
esrj-119576	253	9	its	its	PRON
esrj-119576	253	10	criteria	criterion	NOUN
esrj-119576	253	11	of	of	ADP
esrj-119576	253	12	fitting	fitting	ADJ
esrj-119576	253	13	and	and	CCONJ
esrj-119576	253	14	parameter	parameter	NOUN
esrj-119576	253	15	estimation	estimation	NOUN
esrj-119576	253	16	are	be	AUX
esrj-119576	253	17	explained	explain	VERB
esrj-119576	253	18	monthly	monthly	ADV
esrj-119576	253	19	and	and	CCONJ
esrj-119576	253	20	season	season	NOUN
esrj-119576	253	21	wise	wise	ADJ
esrj-119576	253	22	for	for	ADP
esrj-119576	253	23	each	each	DET
esrj-119576	253	24	station	station	NOUN
esrj-119576	253	25	.	.	PUNCT
esrj-119576	254	1	by	by	ADP
esrj-119576	254	2	taking	take	VERB
esrj-119576	254	3	into	into	ADP
esrj-119576	254	4	consideration	consideration	NOUN
esrj-119576	254	5	all	all	DET
esrj-119576	254	6	the	the	DET
esrj-119576	254	7	stations	station	NOUN
esrj-119576	254	8	in	in	ADP
esrj-119576	254	9	case	case	NOUN
esrj-119576	254	10	of	of	ADP
esrj-119576	254	11	best	good	ADJ
esrj-119576	254	12	fitting	fitting	ADJ
esrj-119576	254	13	distribution	distribution	NOUN
esrj-119576	254	14	,	,	PUNCT
esrj-119576	254	15	pearson	pearson	PROPN
esrj-119576	254	16	type	type	NOUN
esrj-119576	254	17	1	1	NUM
esrj-119576	254	18	,	,	PUNCT
esrj-119576	254	19	weibull	weibull	NOUN
esrj-119576	254	20	and	and	CCONJ
esrj-119576	254	21	gumbel	gumbel	PROPN
esrj-119576	254	22	distribution	distribution	NOUN
esrj-119576	254	23	covers	cover	VERB
esrj-119576	254	24	34.48	34.48	NUM
esrj-119576	254	25	percent	percent	NOUN
esrj-119576	254	26	,	,	PUNCT
esrj-119576	254	27	22.48	22.48	NUM
esrj-119576	254	28	percent	percent	NOUN
esrj-119576	254	29	and	and	CCONJ
esrj-119576	254	30	12.06	12.06	NUM
esrj-119576	254	31	percent	percent	NOUN
esrj-119576	254	32	respectively	respectively	ADV
esrj-119576	254	33	for	for	ADP
esrj-119576	254	34	the	the	DET
esrj-119576	254	35	twelve	twelve	NUM
esrj-119576	254	36	months	month	NOUN
esrj-119576	254	37	.	.	PUNCT
esrj-119576	255	1	for	for	ADP
esrj-119576	255	2	season	season	NOUN
esrj-119576	255	3	wise	wise	ADJ
esrj-119576	255	4	,	,	PUNCT
esrj-119576	255	5	the	the	DET
esrj-119576	255	6	percentage	percentage	NOUN
esrj-119576	255	7	area	area	NOUN
esrj-119576	255	8	of	of	ADP
esrj-119576	255	9	pearson	pearson	PROPN
esrj-119576	255	10	type	type	PROPN
esrj-119576	255	11	1	1	NUM
esrj-119576	255	12	is	be	AUX
esrj-119576	255	13	50	50	NUM
esrj-119576	255	14	percent	percent	NOUN
esrj-119576	255	15	,	,	PUNCT
esrj-119576	255	16	18.75	18.75	NUM
esrj-119576	255	17	percent	percent	NOUN
esrj-119576	255	18	for	for	ADP
esrj-119576	255	19	weibull	weibull	NOUN
esrj-119576	255	20	and	and	CCONJ
esrj-119576	255	21	gumbel	gumbel	PROPN
esrj-119576	255	22	distribution	distribution	NOUN
esrj-119576	255	23	covers	cover	VERB
esrj-119576	255	24	12.5	12.5	NUM
esrj-119576	255	25	percent	percent	NOUN
esrj-119576	255	26	.	.	PUNCT
esrj-119576	256	1	this	this	DET
esrj-119576	256	2	paper	paper	NOUN
esrj-119576	256	3	elaborates	elaborate	VERB
esrj-119576	256	4	the	the	DET
esrj-119576	256	5	fitting	fitting	NOUN
esrj-119576	256	6	of	of	ADP
esrj-119576	256	7	distribution	distribution	NOUN
esrj-119576	256	8	on	on	ADP
esrj-119576	256	9	rainfall	rainfall	NOUN
esrj-119576	256	10	data	datum	NOUN
esrj-119576	256	11	in	in	ADP
esrj-119576	256	12	various	various	ADJ
esrj-119576	256	13	zones	zone	NOUN
esrj-119576	256	14	of	of	ADP
esrj-119576	256	15	assam	assam	PROPN
esrj-119576	256	16	which	which	PRON
esrj-119576	256	17	indicates	indicate	VERB
esrj-119576	256	18	there	there	PRON
esrj-119576	256	19	is	be	VERB
esrj-119576	256	20	also	also	ADV
esrj-119576	256	21	a	a	DET
esrj-119576	256	22	possibility	possibility	NOUN
esrj-119576	256	23	to	to	PART
esrj-119576	256	24	get	get	VERB
esrj-119576	256	25	more	more	ADV
esrj-119576	256	26	precise	precise	ADJ
esrj-119576	256	27	form	form	NOUN
esrj-119576	256	28	of	of	ADP
esrj-119576	256	29	distribution	distribution	NOUN
esrj-119576	256	30	by	by	ADP
esrj-119576	256	31	proposing	propose	VERB
esrj-119576	256	32	new	new	ADJ
esrj-119576	256	33	generalized	generalized	ADJ
esrj-119576	256	34	form	form	NOUN
esrj-119576	256	35	of	of	ADP
esrj-119576	256	36	distribution	distribution	NOUN
esrj-119576	256	37	to	to	PART
esrj-119576	256	38	fit	fit	VERB
esrj-119576	256	39	rainfall	rainfall	NOUN
esrj-119576	256	40	data	datum	NOUN
esrj-119576	256	41	in	in	ADP
esrj-119576	256	42	future	future	NOUN
esrj-119576	256	43	.	.	PUNCT
esrj-119576	257	1	accurate	accurate	ADJ
esrj-119576	257	2	rainfall	rainfall	NOUN
esrj-119576	257	3	predictions	prediction	NOUN
esrj-119576	257	4	are	be	AUX
esrj-119576	257	5	vital	vital	ADJ
esrj-119576	257	6	for	for	ADP
esrj-119576	257	7	estimating	estimate	VERB
esrj-119576	257	8	river	river	NOUN
esrj-119576	257	9	discharge	discharge	NOUN
esrj-119576	257	10	and	and	CCONJ
esrj-119576	257	11	reservoir	reservoir	NOUN
esrj-119576	257	12	inflows	inflow	NOUN
esrj-119576	257	13	,	,	PUNCT
esrj-119576	257	14	enabling	enable	VERB
esrj-119576	257	15	early	early	ADJ
esrj-119576	257	16	flood	flood	NOUN
esrj-119576	257	17	warnings	warning	NOUN
esrj-119576	257	18	.	.	PUNCT
esrj-119576	258	1	short	short	ADJ
esrj-119576	258	2	-	-	PUNCT
esrj-119576	258	3	term	term	NOUN
esrj-119576	258	4	forecasts	forecast	NOUN
esrj-119576	258	5	are	be	AUX
esrj-119576	258	6	especially	especially	ADV
esrj-119576	258	7	important	important	ADJ
esrj-119576	258	8	for	for	ADP
esrj-119576	258	9	managing	manage	VERB
esrj-119576	258	10	stormwater	stormwater	NOUN
esrj-119576	258	11	drainage	drainage	NOUN
esrj-119576	258	12	.	.	PUNCT
esrj-119576	259	1	for	for	ADP
esrj-119576	259	2	example	example	NOUN
esrj-119576	259	3	,	,	PUNCT
esrj-119576	259	4	in	in	ADP
esrj-119576	259	5	areas	area	NOUN
esrj-119576	259	6	like	like	ADP
esrj-119576	259	7	guwahati	guwahati	NOUN
esrj-119576	259	8	and	and	CCONJ
esrj-119576	259	9	silchar	silchar	PROPN
esrj-119576	259	10	,	,	PUNCT
esrj-119576	259	11	assam	assam	PROPN
esrj-119576	259	12	farmers	farmer	NOUN
esrj-119576	259	13	rely	rely	VERB
esrj-119576	259	14	heavily	heavily	ADV
esrj-119576	259	15	on	on	ADP
esrj-119576	259	16	monsoon	monsoon	NOUN
esrj-119576	259	17	rainfall	rainfall	NOUN
esrj-119576	259	18	.	.	PUNCT
esrj-119576	260	1	seasonal	seasonal	ADJ
esrj-119576	260	2	weather	weather	NOUN
esrj-119576	260	3	forecasts	forecast	NOUN
esrj-119576	260	4	guide	guide	VERB
esrj-119576	260	5	their	their	PRON
esrj-119576	260	6	decisions	decision	NOUN
esrj-119576	260	7	on	on	ADP
esrj-119576	260	8	sowing	sowing	NOUN
esrj-119576	260	9	,	,	PUNCT
esrj-119576	260	10	transplanting	transplant	VERB
esrj-119576	260	11	paddy	paddy	NOUN
esrj-119576	260	12	,	,	PUNCT
esrj-119576	260	13	and	and	CCONJ
esrj-119576	260	14	selecting	select	VERB
esrj-119576	260	15	short	short	ADJ
esrj-119576	260	16	-	-	PUNCT
esrj-119576	260	17	duration	duration	NOUN
esrj-119576	260	18	crops	crop	NOUN
esrj-119576	260	19	.	.	PUNCT
esrj-119576	261	1	understanding	understand	VERB
esrj-119576	261	2	the	the	DET
esrj-119576	261	3	probability	probability	NOUN
esrj-119576	261	4	of	of	ADP
esrj-119576	261	5	heavy	heavy	ADJ
esrj-119576	261	6	rain	rain	NOUN
esrj-119576	261	7	allows	allow	VERB
esrj-119576	261	8	farmers	farmer	NOUN
esrj-119576	261	9	to	to	PART
esrj-119576	261	10	adopt	adopt	VERB
esrj-119576	261	11	preventive	preventive	ADJ
esrj-119576	261	12	measures	measure	NOUN
esrj-119576	261	13	against	against	ADP
esrj-119576	261	14	waterlogging	waterlogging	NOUN
esrj-119576	261	15	,	,	PUNCT
esrj-119576	261	16	crop	crop	NOUN
esrj-119576	261	17	damage	damage	NOUN
esrj-119576	261	18	,	,	PUNCT
esrj-119576	261	19	pests	pest	NOUN
esrj-119576	261	20	,	,	PUNCT
esrj-119576	261	21	and	and	CCONJ
esrj-119576	261	22	outbreaks	outbreak	NOUN
esrj-119576	261	23	diseases	disease	NOUN
esrj-119576	261	24	etc	etc	X
esrj-119576	261	25	.	.	X
esrj-119576	262	1	acknowledgements	acknowledgement	VERB
esrj-119576	262	2	the	the	DET
esrj-119576	262	3	authors	author	NOUN
esrj-119576	262	4	would	would	AUX
esrj-119576	262	5	like	like	VERB
esrj-119576	262	6	to	to	PART
esrj-119576	262	7	thank	thank	VERB
esrj-119576	262	8	the	the	DET
esrj-119576	262	9	india	india	PROPN
esrj-119576	262	10	meteorological	meteorological	PROPN
esrj-119576	262	11	department	department	PROPN
esrj-119576	262	12	(	(	PUNCT
esrj-119576	262	13	imd	imd	PROPN
esrj-119576	262	14	)	)	PUNCT
esrj-119576	262	15	,	,	PUNCT
esrj-119576	262	16	pune	pune	NOUN
esrj-119576	262	17	for	for	ADP
esrj-119576	262	18	supplying	supply	VERB
esrj-119576	262	19	the	the	DET
esrj-119576	262	20	required	require	VERB
esrj-119576	262	21	study	study	NOUN
esrj-119576	262	22	’s	’s	PART
esrj-119576	262	23	data	datum	NOUN
esrj-119576	262	24	.	.	PUNCT
esrj-119576	263	1	authors	author	NOUN
esrj-119576	263	2	would	would	AUX
esrj-119576	263	3	like	like	VERB
esrj-119576	263	4	to	to	PART
esrj-119576	263	5	thank	thank	VERB
esrj-119576	263	6	the	the	DET
esrj-119576	263	7	editor	editor	NOUN
esrj-119576	263	8	and	and	CCONJ
esrj-119576	263	9	the	the	DET
esrj-119576	263	10	referees	referee	NOUN
esrj-119576	263	11	for	for	ADP
esrj-119576	263	12	their	their	PRON
esrj-119576	263	13	support	support	NOUN
esrj-119576	263	14	and	and	CCONJ
esrj-119576	263	15	assistance	assistance	NOUN
esrj-119576	263	16	to	to	PART
esrj-119576	263	17	improve	improve	VERB
esrj-119576	263	18	the	the	DET
esrj-119576	263	19	manuscript	manuscript	NOUN
esrj-119576	263	20	.	.	PUNCT
esrj-119576	264	1	author	author	NOUN
esrj-119576	264	2	contributions	contribution	NOUN
esrj-119576	264	3	all	all	DET
esrj-119576	264	4	authors	author	NOUN
esrj-119576	264	5	contributed	contribute	VERB
esrj-119576	264	6	to	to	ADP
esrj-119576	264	7	the	the	DET
esrj-119576	264	8	study	study	NOUN
esrj-119576	264	9	conception	conception	NOUN
esrj-119576	264	10	and	and	CCONJ
esrj-119576	264	11	design	design	NOUN
esrj-119576	264	12	.	.	PUNCT
esrj-119576	265	1	material	material	NOUN
esrj-119576	265	2	preparation	preparation	NOUN
esrj-119576	265	3	was	be	AUX
esrj-119576	265	4	performed	perform	VERB
esrj-119576	265	5	by	by	ADP
esrj-119576	265	6	tanusree	tanusree	PROPN
esrj-119576	265	7	deb	deb	PROPN
esrj-119576	265	8	roy	roy	PROPN
esrj-119576	265	9	and	and	CCONJ
esrj-119576	265	10	subhankar	subhankar	PROPN
esrj-119576	265	11	dutta	dutta	PROPN
esrj-119576	265	12	,	,	PUNCT
esrj-119576	265	13	data	datum	NOUN
esrj-119576	265	14	collection	collection	NOUN
esrj-119576	265	15	was	be	AUX
esrj-119576	265	16	done	do	VERB
esrj-119576	265	17	by	by	ADP
esrj-119576	265	18	sebul	sebul	PROPN
esrj-119576	265	19	islam	islam	PROPN
esrj-119576	265	20	laskar	laskar	PROPN
esrj-119576	265	21	and	and	CCONJ
esrj-119576	265	22	analysis	analysis	NOUN
esrj-119576	265	23	was	be	AUX
esrj-119576	265	24	performed	perform	VERB
esrj-119576	265	25	by	by	ADP
esrj-119576	265	26	dipanjali	dipanjali	PROPN
esrj-119576	265	27	ray	ray	PROPN
esrj-119576	265	28	.	.	PUNCT
esrj-119576	266	1	the	the	DET
esrj-119576	266	2	first	first	ADJ
esrj-119576	266	3	draft	draft	NOUN
esrj-119576	266	4	of	of	ADP
esrj-119576	266	5	the	the	DET
esrj-119576	266	6	manuscript	manuscript	NOUN
esrj-119576	266	7	was	be	AUX
esrj-119576	266	8	written	write	VERB
esrj-119576	266	9	by	by	ADP
esrj-119576	266	10	dipanjali	dipanjali	PROPN
esrj-119576	266	11	ray	ray	PROPN
esrj-119576	266	12	and	and	CCONJ
esrj-119576	266	13	all	all	DET
esrj-119576	266	14	authors	author	NOUN
esrj-119576	266	15	commented	comment	VERB
esrj-119576	266	16	on	on	ADP
esrj-119576	266	17	previous	previous	ADJ
esrj-119576	266	18	versions	version	NOUN
esrj-119576	266	19	of	of	ADP
esrj-119576	266	20	the	the	DET
esrj-119576	266	21	manuscript	manuscript	NOUN
esrj-119576	266	22	.	.	PUNCT
esrj-119576	267	1	all	all	DET
esrj-119576	267	2	authors	author	NOUN
esrj-119576	267	3	read	read	VERB
esrj-119576	267	4	and	and	CCONJ
esrj-119576	267	5	approved	approve	VERB
esrj-119576	267	6	the	the	DET
esrj-119576	267	7	final	final	ADJ
esrj-119576	267	8	manuscript	manuscript	NOUN
esrj-119576	267	9	.	.	PUNCT
esrj-119576	268	1	funding	fund	VERB
esrj-119576	268	2	the	the	DET
esrj-119576	268	3	authors	author	NOUN
esrj-119576	268	4	declare	declare	VERB
esrj-119576	268	5	that	that	SCONJ
esrj-119576	268	6	no	no	DET
esrj-119576	268	7	funds	fund	NOUN
esrj-119576	268	8	were	be	AUX
esrj-119576	268	9	received	receive	VERB
esrj-119576	268	10	during	during	ADP
esrj-119576	268	11	the	the	DET
esrj-119576	268	12	preparation	preparation	NOUN
esrj-119576	268	13	of	of	ADP
esrj-119576	268	14	this	this	DET
esrj-119576	268	15	manuscript	manuscript	NOUN
esrj-119576	268	16	.	.	PUNCT
esrj-119576	269	1	data	datum	NOUN
esrj-119576	269	2	availability	availability	NOUN
esrj-119576	269	3	the	the	DET
esrj-119576	269	4	data	datum	NOUN
esrj-119576	269	5	has	have	AUX
esrj-119576	269	6	been	be	AUX
esrj-119576	269	7	collected	collect	VERB
esrj-119576	269	8	from	from	ADP
esrj-119576	269	9	national	national	ADJ
esrj-119576	269	10	data	datum	NOUN
esrj-119576	269	11	centre	centre	NOUN
esrj-119576	269	12	(	(	PUNCT
esrj-119576	269	13	ndc	ndc	NOUN
esrj-119576	269	14	)	)	PUNCT
esrj-119576	269	15	,	,	PUNCT
esrj-119576	269	16	india	india	PROPN
esrj-119576	269	17	meteorological	meteorological	PROPN
esrj-119576	269	18	department	department	PROPN
esrj-119576	269	19	(	(	PUNCT
esrj-119576	269	20	imd	imd	PROPN
esrj-119576	269	21	)	)	PUNCT
esrj-119576	269	22	,	,	PUNCT
esrj-119576	269	23	pune	pune	NOUN
esrj-119576	269	24	(	(	PUNCT
esrj-119576	269	25	http://dsp.imdpune.gov.in/	http://dsp.imdpune.gov.in/	PROPN
esrj-119576	269	26	)	)	PUNCT
esrj-119576	269	27	.	.	PUNCT
esrj-119576	270	1	references	reference	NOUN
esrj-119576	270	2	:	:	PUNCT
esrj-119576	270	3	akaike	akaike	ADJ
esrj-119576	270	4	,	,	PUNCT
esrj-119576	270	5	h.	h.	PROPN
esrj-119576	270	6	(	(	PUNCT
esrj-119576	270	7	1969	1969	NUM
esrj-119576	270	8	)	)	PUNCT
esrj-119576	270	9	,	,	PUNCT
esrj-119576	270	10	fitting	fitting	ADJ
esrj-119576	270	11	autoregressive	autoregressive	ADJ
esrj-119576	270	12	models	model	NOUN
esrj-119576	270	13	for	for	ADP
esrj-119576	270	14	prediction	prediction	NOUN
esrj-119576	270	15	.	.	PUNCT
esrj-119576	271	1	annals	annal	NOUN
esrj-119576	271	2	of	of	ADP
esrj-119576	271	3	the	the	DET
esrj-119576	271	4	institute	institute	NOUN
esrj-119576	271	5	of	of	ADP
esrj-119576	271	6	statistical	statistical	ADJ
esrj-119576	271	7	mathematics	mathematic	NOUN
esrj-119576	271	8	,	,	PUNCT
esrj-119576	271	9	21	21	NUM
esrj-119576	271	10	,	,	PUNCT
esrj-119576	271	11	243	243	NUM
esrj-119576	271	12	-	-	SYM
esrj-119576	271	13	247	247	NUM
esrj-119576	271	14	.	.	PUNCT
esrj-119576	272	1	abreu	abreu	PROPN
esrj-119576	272	2	,	,	PUNCT
esrj-119576	272	3	c.	c.	PROPN
esrj-119576	272	4	m.	m.	NOUN
esrj-119576	272	5	,	,	PUNCT
esrj-119576	272	6	de	de	PROPN
esrj-119576	272	7	souza	souza	PROPN
esrj-119576	272	8	,	,	PUNCT
esrj-119576	272	9	a	a	PRON
esrj-119576	272	10	,	,	PUNCT
esrj-119576	272	11	lyra	lyra	PROPN
esrj-119576	272	12	,	,	PUNCT
esrj-119576	272	13	b.	b.	PROPN
esrj-119576	272	14	g.	g.	PROPN
esrj-119576	272	15	,	,	PUNCT
esrj-119576	272	16	de	de	PROPN
esrj-119576	272	17	oliveira	oliveira	PROPN
esrj-119576	272	18	-	-	PUNCT
esrj-119576	272	19	junior	junior	PROPN
esrj-119576	272	20	,	,	PUNCT
esrj-119576	272	21	j.	j.	PROPN
esrj-119576	272	22	f.	f.	PROPN
esrj-119576	272	23	,	,	PUNCT
esrj-119576	272	24	pobocikova	pobocikova	PROPN
esrj-119576	272	25	,	,	PUNCT
esrj-119576	272	26	i.	i.	PROPN
esrj-119576	272	27	,	,	PUNCT
esrj-119576	272	28	de	de	PROPN
esrj-119576	272	29	almeida	almeida	PROPN
esrj-119576	272	30	,	,	PUNCT
esrj-119576	272	31	t.	t.	PROPN
esrj-119576	272	32	l.	l.	PROPN
esrj-119576	272	33	,	,	PUNCT
esrj-119576	272	34	de	de	PROPN
esrj-119576	272	35	souza	souza	PROPN
esrj-119576	272	36	fraga	fraga	PROPN
esrj-119576	272	37	,	,	PUNCT
esrj-119576	272	38	m.	m.	NOUN
esrj-119576	272	39	,	,	PUNCT
esrj-119576	272	40	aristone	aristone	PROPN
esrj-119576	272	41	,	,	PUNCT
esrj-119576	272	42	f.	f.	PROPN
esrj-119576	272	43	,	,	PUNCT
esrj-119576	272	44	&	&	CCONJ
esrj-119576	272	45	cecilio	cecilio	PROPN
esrj-119576	272	46	,	,	PUNCT
esrj-119576	272	47	r.	r.	PROPN
esrj-119576	272	48	a.	a.	PROPN
esrj-119576	272	49	(	(	PUNCT
esrj-119576	272	50	2023	2023	NUM
esrj-119576	272	51	)	)	PUNCT
esrj-119576	272	52	.	.	PUNCT
esrj-119576	273	1	assessment	assessment	NOUN
esrj-119576	273	2	and	and	CCONJ
esrj-119576	273	3	characterization	characterization	NOUN
esrj-119576	273	4	of	of	ADP
esrj-119576	273	5	the	the	DET
esrj-119576	273	6	monthly	monthly	ADJ
esrj-119576	273	7	probabilities	probability	NOUN
esrj-119576	273	8	of	of	ADP
esrj-119576	273	9	rainfall	rainfall	NOUN
esrj-119576	273	10	in	in	ADP
esrj-119576	273	11	midwest	midwest	PROPN
esrj-119576	273	12	brazil	brazil	PROPN
esrj-119576	273	13	using	use	VERB
esrj-119576	273	14	different	different	ADJ
esrj-119576	273	15	goodness	goodness	NOUN
esrj-119576	273	16	-	-	PUNCT
esrj-119576	273	17	of	of	ADP
esrj-119576	273	18	-	-	PUNCT
esrj-119576	273	19	fit	fit	ADJ
esrj-119576	273	20	tests	test	NOUN
esrj-119576	273	21	as	as	ADP
esrj-119576	273	22	probability	probability	NOUN
esrj-119576	273	23	density	density	NOUN
esrj-119576	273	24	functions	function	NOUN
esrj-119576	273	25	selection	selection	NOUN
esrj-119576	273	26	criteria	criterion	NOUN
esrj-119576	273	27	.	.	PUNCT
esrj-119576	274	1	theoretical	theoretical	ADJ
esrj-119576	274	2	and	and	CCONJ
esrj-119576	274	3	applied	applied	ADJ
esrj-119576	274	4	climatology	climatology	NOUN
esrj-119576	274	5	,	,	PUNCT
esrj-119576	274	6	151	151	NUM
esrj-119576	274	7	,	,	PUNCT
esrj-119576	274	8	491	491	NUM
esrj-119576	274	9	-	-	SYM
esrj-119576	274	10	513	513	NUM
esrj-119576	274	11	.	.	PUNCT
esrj-119576	275	1	https://doi.org/10.1007/s00704-022-04286-z	https://doi.org/10.1007/s00704-022-04286-z	NOUN
esrj-119576	275	2	astec	astec	ADJ
esrj-119576	275	3	(	(	PUNCT
esrj-119576	275	4	2011	2011	NUM
esrj-119576	275	5	)	)	PUNCT
esrj-119576	275	6	.	.	PUNCT
esrj-119576	276	1	assam	assam	PROPN
esrj-119576	276	2	’s	’s	PART
esrj-119576	276	3	strategy	strategy	NOUN
esrj-119576	276	4	and	and	CCONJ
esrj-119576	276	5	action	action	NOUN
esrj-119576	276	6	plan	plan	NOUN
esrj-119576	276	7	on	on	ADP
esrj-119576	276	8	climate	climate	NOUN
esrj-119576	276	9	change	change	NOUN
esrj-119576	276	10	—	—	PUNCT
esrj-119576	276	11	recommendations	recommendation	NOUN
esrj-119576	276	12	—	—	PUNCT
esrj-119576	276	13	first	first	ADJ
esrj-119576	276	14	draft	draft	NOUN
esrj-119576	276	15	—	—	PUNCT
esrj-119576	276	16	astec	astec	ADJ
esrj-119576	276	17	(	(	PUNCT
esrj-119576	276	18	2011	2011	NUM
esrj-119576	276	19	)	)	PUNCT
esrj-119576	276	20	.	.	PUNCT
esrj-119576	277	1	india	india	PROPN
esrj-119576	277	2	water	water	PROPN
esrj-119576	277	3	portal	portal	PROPN
esrj-119576	277	4	hindi	hindi	PROPN
esrj-119576	277	5	.	.	PUNCT
esrj-119576	278	1	https://	https://	PROPN
esrj-119576	278	2	https://www.indiawaterportal.org/articles/assams-strategy-and-action-plan-climate-change-recommendations-first-draft-astec-2011	https://www.indiawaterportal.org/articles/assams-strategy-and-action-plan-climate-change-recommendations-first-draft-astec-2011	PROPN
esrj-119576	278	3	amin	amin	PROPN
esrj-119576	278	4	,	,	PUNCT
esrj-119576	278	5	m.	m.	NOUN
esrj-119576	278	6	,	,	PUNCT
esrj-119576	278	7	rizwan	rizwan	PROPN
esrj-119576	278	8	,	,	PUNCT
esrj-119576	278	9	m.	m.	NOUN
esrj-119576	278	10	,	,	PUNCT
esrj-119576	278	11	&	&	CCONJ
esrj-119576	278	12	alazba	alazba	PROPN
esrj-119576	278	13	,	,	PUNCT
esrj-119576	278	14	p.	p.	NOUN
esrj-119576	278	15	(	(	PUNCT
esrj-119576	278	16	2016	2016	NUM
esrj-119576	278	17	)	)	PUNCT
esrj-119576	278	18	.	.	PUNCT
esrj-119576	279	1	a	a	DET
esrj-119576	279	2	best	well	ADV
esrj-119576	279	3	-	-	PUNCT
esrj-119576	279	4	fit	fit	ADJ
esrj-119576	279	5	probability	probability	NOUN
esrj-119576	279	6	distribution	distribution	NOUN
esrj-119576	279	7	for	for	ADP
esrj-119576	279	8	the	the	DET
esrj-119576	279	9	estimation	estimation	NOUN
esrj-119576	279	10	of	of	ADP
esrj-119576	279	11	rainfall	rainfall	NOUN
esrj-119576	279	12	in	in	ADP
esrj-119576	279	13	northern	northern	ADJ
esrj-119576	279	14	regions	region	NOUN
esrj-119576	279	15	of	of	ADP
esrj-119576	279	16	pakistan	pakistan	PROPN
esrj-119576	279	17	.	.	PUNCT
esrj-119576	280	1	open	open	ADJ
esrj-119576	280	2	life	life	NOUN
esrj-119576	280	3	sciences	science	NOUN
esrj-119576	280	4	,	,	PUNCT
esrj-119576	280	5	11	11	NUM
esrj-119576	280	6	,	,	PUNCT
esrj-119576	280	7	432	432	NUM
esrj-119576	280	8	-	-	SYM
esrj-119576	280	9	440	440	NUM
esrj-119576	280	10	.	.	PUNCT
esrj-119576	281	1	https://doi.org/10.1515/biol-2016-0057	https://doi.org/10.1515/biol-2016-0057	NOUN
esrj-119576	281	2	bobee	bobee	ADV
esrj-119576	281	3	,	,	PUNCT
esrj-119576	281	4	b.	b.	PROPN
esrj-119576	281	5	,	,	PUNCT
esrj-119576	281	6	&	&	CCONJ
esrj-119576	281	7	ashkar	ashkar	PROPN
esrj-119576	281	8	,	,	PUNCT
esrj-119576	281	9	f.	f.	PROPN
esrj-119576	281	10	(	(	PUNCT
esrj-119576	281	11	1991	1991	NUM
esrj-119576	281	12	)	)	PUNCT
esrj-119576	281	13	.	.	PUNCT
esrj-119576	282	1	the	the	DET
esrj-119576	282	2	gamma	gamma	PROPN
esrj-119576	282	3	family	family	NOUN
esrj-119576	282	4	and	and	CCONJ
esrj-119576	282	5	derived	derive	VERB
esrj-119576	282	6	distributions	distribution	NOUN
esrj-119576	282	7	applied	apply	VERB
esrj-119576	282	8	in	in	ADP
esrj-119576	282	9	hydrology	hydrology	NOUN
esrj-119576	282	10	.	.	PUNCT
esrj-119576	283	1	water	water	NOUN
esrj-119576	283	2	resources	resource	NOUN
esrj-119576	283	3	publication	publication	NOUN
esrj-119576	283	4	,	,	PUNCT
esrj-119576	283	5	littleton	littleton	PROPN
esrj-119576	283	6	,	,	PUNCT
esrj-119576	283	7	colorado	colorado	PROPN
esrj-119576	283	8	.	.	PUNCT
esrj-119576	284	1	bobee	bobee	PROPN
esrj-119576	284	2	,	,	PUNCT
esrj-119576	284	3	b.	b.	PROPN
esrj-119576	284	4	b.	b.	PROPN
esrj-119576	284	5	,	,	PUNCT
esrj-119576	284	6	&	&	CCONJ
esrj-119576	284	7	robitaille	robitaille	PROPN
esrj-119576	284	8	,	,	PUNCT
esrj-119576	284	9	r.	r.	PROPN
esrj-119576	284	10	(	(	PUNCT
esrj-119576	284	11	1977	1977	NUM
esrj-119576	284	12	)	)	PUNCT
esrj-119576	284	13	.	.	PUNCT
esrj-119576	285	1	the	the	DET
esrj-119576	285	2	use	use	NOUN
esrj-119576	285	3	of	of	ADP
esrj-119576	285	4	the	the	DET
esrj-119576	285	5	pearson	pearson	PROPN
esrj-119576	285	6	type	type	NOUN
esrj-119576	285	7	3	3	NUM
esrj-119576	285	8	and	and	CCONJ
esrj-119576	285	9	log	log	PROPN
esrj-119576	285	10	pearson	pearson	PROPN
esrj-119576	285	11	type	type	NOUN
esrj-119576	285	12	3	3	NUM
esrj-119576	285	13	distributions	distribution	NOUN
esrj-119576	285	14	revisited	revisit	VERB
esrj-119576	285	15	.	.	PUNCT
esrj-119576	286	1	water	water	NOUN
esrj-119576	286	2	resources	resource	NOUN
esrj-119576	286	3	research	research	NOUN
esrj-119576	286	4	,	,	PUNCT
esrj-119576	286	5	13(2	13(2	PROPN
esrj-119576	286	6	)	)	PUNCT
esrj-119576	286	7	,	,	PUNCT
esrj-119576	286	8	427	427	NUM
esrj-119576	286	9	-	-	SYM
esrj-119576	286	10	443	443	NUM
esrj-119576	286	11	.	.	PUNCT
esrj-119576	286	12	https://doi.org/10.1029/wr013i002p00427	https://doi.org/10.1029/wr013i002p00427	NOUN
esrj-119576	286	13	bhavyashree	bhavyashree	NOUN
esrj-119576	286	14	,	,	PUNCT
esrj-119576	286	15	s.	s.	PROPN
esrj-119576	286	16	,	,	PUNCT
esrj-119576	286	17	&	&	CCONJ
esrj-119576	286	18	bhattacharyya	bhattacharyya	PROPN
esrj-119576	286	19	,	,	PUNCT
esrj-119576	286	20	b.	b.	PROPN
esrj-119576	286	21	(	(	PUNCT
esrj-119576	286	22	2018	2018	NUM
esrj-119576	286	23	)	)	PUNCT
esrj-119576	286	24	.	.	PUNCT
esrj-119576	287	1	fitting	fitting	ADJ
esrj-119576	287	2	probability	probability	NOUN
esrj-119576	287	3	distributions	distribution	NOUN
esrj-119576	287	4	for	for	ADP
esrj-119576	287	5	rainfall	rainfall	NOUN
esrj-119576	287	6	analysis	analysis	NOUN
esrj-119576	287	7	of	of	ADP
esrj-119576	287	8	karnataka	karnataka	PROPN
esrj-119576	287	9	,	,	PUNCT
esrj-119576	287	10	india	india	PROPN
esrj-119576	287	11	.	.	PUNCT
esrj-119576	288	1	international	international	PROPN
esrj-119576	288	2	journal	journal	PROPN
esrj-119576	288	3	of	of	ADP
esrj-119576	288	4	current	current	ADJ
esrj-119576	288	5	microbiology	microbiology	NOUN
esrj-119576	288	6	and	and	CCONJ
esrj-119576	288	7	applied	apply	VERB
esrj-119576	288	8	sciences	science	NOUN
esrj-119576	288	9	,	,	PUNCT
esrj-119576	288	10	7(03	7(03	NUM
esrj-119576	288	11	)	)	PUNCT
esrj-119576	288	12	,	,	PUNCT
esrj-119576	288	13	1498	1498	NUM
esrj-119576	288	14	-	-	SYM
esrj-119576	288	15	1506	1506	NUM
esrj-119576	288	16	.	.	PUNCT
esrj-119576	289	1	https://doi.org/10.20546/ijcmas.2018.703.178	https://doi.org/10.20546/ijcmas.2018.703.178	PROPN
esrj-119576	289	2	chandran	chandran	PROPN
esrj-119576	289	3	,	,	PUNCT
esrj-119576	289	4	s.	s.	PROPN
esrj-119576	289	5	,	,	PUNCT
esrj-119576	289	6	selvan	selvan	NOUN
esrj-119576	289	7	,	,	PUNCT
esrj-119576	289	8	p.	p.	PROPN
esrj-119576	289	9	,	,	PUNCT
esrj-119576	289	10	namitha	namitha	PROPN
esrj-119576	289	11	,	,	PUNCT
esrj-119576	289	12	m.	m.	PROPN
esrj-119576	289	13	r.	r.	PROPN
esrj-119576	289	14	,	,	PUNCT
esrj-119576	289	15	mishra	mishra	PROPN
esrj-119576	289	16	,	,	PUNCT
esrj-119576	289	17	p.	p.	PROPN
esrj-119576	289	18	,	,	PUNCT
esrj-119576	289	19	&	&	CCONJ
esrj-119576	289	20	kumar	kumar	PROPN
esrj-119576	289	21	,	,	PUNCT
esrj-119576	289	22	v.	v.	PROPN
esrj-119576	289	23	(	(	PUNCT
esrj-119576	289	24	2023	2023	NUM
esrj-119576	289	25	)	)	PUNCT
esrj-119576	289	26	.	.	PUNCT
esrj-119576	290	1	probability	probability	NOUN
esrj-119576	290	2	analysis	analysis	NOUN
esrj-119576	290	3	and	and	CCONJ
esrj-119576	290	4	rainfall	rainfall	NOUN
esrj-119576	290	5	forecasting	forecasting	NOUN
esrj-119576	290	6	using	use	VERB
esrj-119576	290	7	arima	arima	PROPN
esrj-119576	290	8	model	model	NOUN
esrj-119576	290	9	.	.	PUNCT
esrj-119576	291	1	mausam	mausam	PROPN
esrj-119576	291	2	journal	journal	PROPN
esrj-119576	291	3	,	,	PUNCT
esrj-119576	291	4	74(4	74(4	NUM
esrj-119576	291	5	)	)	PUNCT
esrj-119576	291	6	,	,	PUNCT
esrj-119576	291	7	1081	1081	NUM
esrj-119576	291	8	-	-	SYM
esrj-119576	291	9	1092	1092	NUM
esrj-119576	291	10	.	.	PUNCT
esrj-119576	292	1	https://doi.org/10.54302/mausam.v74i4.805	https://doi.org/10.54302/mausam.v74i4.805	PROPN
esrj-119576	292	2	deka	deka	NOUN
esrj-119576	292	3	,	,	PUNCT
esrj-119576	292	4	s.	s.	PROPN
esrj-119576	292	5	,	,	PUNCT
esrj-119576	292	6	borah	borah	PROPN
esrj-119576	292	7	,	,	PUNCT
esrj-119576	292	8	m.	m.	NOUN
esrj-119576	292	9	,	,	PUNCT
esrj-119576	292	10	&	&	CCONJ
esrj-119576	292	11	kakaty	kakaty	PROPN
esrj-119576	292	12	,	,	PUNCT
esrj-119576	292	13	s.	s.	PROPN
esrj-119576	292	14	c.	c.	PROPN
esrj-119576	292	15	(	(	PUNCT
esrj-119576	292	16	2009	2009	NUM
esrj-119576	292	17	)	)	PUNCT
esrj-119576	292	18	.	.	PUNCT
esrj-119576	293	1	distributions	distribution	NOUN
esrj-119576	293	2	of	of	ADP
esrj-119576	293	3	annual	annual	ADJ
esrj-119576	293	4	maximum	maximum	ADJ
esrj-119576	293	5	rainfall	rainfall	NOUN
esrj-119576	293	6	series	series	NOUN
esrj-119576	293	7	of	of	ADP
esrj-119576	293	8	north	north	NOUN
esrj-119576	293	9	-	-	PUNCT
esrj-119576	293	10	east	east	NOUN
esrj-119576	293	11	india	india	PROPN
esrj-119576	293	12	.	.	PUNCT
esrj-119576	294	1	european	european	ADJ
esrj-119576	294	2	water	water	PROPN
esrj-119576	294	3	,	,	PUNCT
esrj-119576	294	4	3–14	3–14	PROPN
esrj-119576	294	5	.	.	PUNCT
esrj-119576	295	1	douka	douka	PROPN
esrj-119576	295	2	,	,	PUNCT
esrj-119576	295	3	m.	m.	NOUN
esrj-119576	295	4	,	,	PUNCT
esrj-119576	295	5	&	&	CCONJ
esrj-119576	295	6	karacostas	karacostas	PROPN
esrj-119576	295	7	,	,	PUNCT
esrj-119576	295	8	t.	t.	PROPN
esrj-119576	295	9	(	(	PUNCT
esrj-119576	295	10	2018	2018	NUM
esrj-119576	295	11	)	)	PUNCT
esrj-119576	295	12	.	.	PUNCT
esrj-119576	296	1	statistical	statistical	ADJ
esrj-119576	296	2	analyses	analysis	NOUN
esrj-119576	296	3	of	of	ADP
esrj-119576	296	4	extreme	extreme	ADJ
esrj-119576	296	5	rainfall	rainfall	NOUN
esrj-119576	296	6	events	event	NOUN
esrj-119576	296	7	in	in	ADP
esrj-119576	296	8	thessaloniki	thessaloniki	PROPN
esrj-119576	296	9	,	,	PUNCT
esrj-119576	296	10	greece	greece	PROPN
esrj-119576	296	11	.	.	PUNCT
esrj-119576	297	1	atmospheric	atmospheric	ADJ
esrj-119576	297	2	research	research	NOUN
esrj-119576	297	3	,	,	PUNCT
esrj-119576	297	4	208	208	NUM
esrj-119576	297	5	,	,	PUNCT
esrj-119576	297	6	60	60	NUM
esrj-119576	297	7	-	-	SYM
esrj-119576	297	8	77	77	NUM
esrj-119576	297	9	.	.	PUNCT
esrj-119576	298	1	https://doi	https://doi	PROPN
esrj-119576	298	2	.	.	PUNCT
esrj-119576	298	3	org/10.1016	org/10.1016	PROPN
esrj-119576	298	4	/	/	SYM
esrj-119576	298	5	j.atmosres.2017.08.025	j.atmosres.2017.08.025	NOUN
esrj-119576	298	6	feng	feng	X
esrj-119576	298	7	,	,	PUNCT
esrj-119576	298	8	s.	s.	PROPN
esrj-119576	298	9	,	,	PUNCT
esrj-119576	298	10	&	&	CCONJ
esrj-119576	298	11	nadarajah	nadarajah	PROPN
esrj-119576	298	12	,	,	PUNCT
esrj-119576	298	13	s.	s.	PROPN
esrj-119576	298	14	,	,	PUNCT
esrj-119576	298	15	&	&	CCONJ
esrj-119576	298	16	hu	hu	PROPN
esrj-119576	298	17	,	,	PUNCT
esrj-119576	298	18	q.	q.	PROPN
esrj-119576	298	19	(	(	PUNCT
esrj-119576	298	20	2007	2007	NUM
esrj-119576	298	21	)	)	PUNCT
esrj-119576	298	22	.	.	PUNCT
esrj-119576	299	1	modeling	model	VERB
esrj-119576	299	2	annual	annual	ADJ
esrj-119576	299	3	extreme	extreme	ADJ
esrj-119576	299	4	precipitation	precipitation	NOUN
esrj-119576	299	5	in	in	ADP
esrj-119576	299	6	china	china	PROPN
esrj-119576	299	7	using	use	VERB
esrj-119576	299	8	the	the	DET
esrj-119576	299	9	generalized	generalized	ADJ
esrj-119576	299	10	extreme	extreme	ADJ
esrj-119576	299	11	value	value	NOUN
esrj-119576	299	12	distribution	distribution	NOUN
esrj-119576	299	13	.	.	PUNCT
esrj-119576	300	1	journal	journal	NOUN
esrj-119576	300	2	of	of	ADP
esrj-119576	300	3	the	the	DET
esrj-119576	300	4	meteorological	meteorological	ADJ
esrj-119576	300	5	society	society	NOUN
esrj-119576	300	6	of	of	ADP
esrj-119576	300	7	japan	japan	PROPN
esrj-119576	300	8	,	,	PUNCT
esrj-119576	300	9	85	85	NUM
esrj-119576	300	10	,	,	PUNCT
esrj-119576	300	11	599–613	599–613	NUM
esrj-119576	300	12	.	.	PUNCT
esrj-119576	300	13	ferguson	ferguson	PROPN
esrj-119576	300	14	,	,	PUNCT
esrj-119576	300	15	t.	t.	PROPN
esrj-119576	300	16	s.	s.	PROPN
esrj-119576	300	17	(	(	PUNCT
esrj-119576	300	18	1964	1964	NUM
esrj-119576	300	19	)	)	PUNCT
esrj-119576	300	20	.	.	PUNCT
esrj-119576	301	1	a	a	DET
esrj-119576	301	2	characterization	characterization	NOUN
esrj-119576	301	3	of	of	ADP
esrj-119576	301	4	the	the	DET
esrj-119576	301	5	exponential	exponential	ADJ
esrj-119576	301	6	distribution	distribution	NOUN
esrj-119576	301	7	.	.	PUNCT
esrj-119576	302	1	the	the	DET
esrj-119576	302	2	annals	annal	NOUN
esrj-119576	302	3	of	of	ADP
esrj-119576	302	4	mathematical	mathematical	ADJ
esrj-119576	302	5	statistics	statistic	NOUN
esrj-119576	302	6	,	,	PUNCT
esrj-119576	302	7	35(3	35(3	NUM
esrj-119576	302	8	)	)	PUNCT
esrj-119576	302	9	,	,	PUNCT
esrj-119576	302	10	199–1207	199–1207	NUM
esrj-119576	302	11	gaddum	gaddum	PROPN
esrj-119576	302	12	,	,	PUNCT
esrj-119576	302	13	j.	j.	PROPN
esrj-119576	302	14	h.	h.	PROPN
esrj-119576	302	15	(	(	PUNCT
esrj-119576	302	16	1945	1945	NUM
esrj-119576	302	17	)	)	PUNCT
esrj-119576	302	18	.	.	PUNCT
esrj-119576	303	1	lognormal	lognormal	ADJ
esrj-119576	303	2	distributions	distribution	NOUN
esrj-119576	303	3	.	.	PUNCT
esrj-119576	304	1	nature	nature	NOUN
esrj-119576	304	2	,	,	PUNCT
esrj-119576	304	3	156(3964	156(3964	NUM
esrj-119576	304	4	)	)	PUNCT
esrj-119576	304	5	,	,	PUNCT
esrj-119576	304	6	463	463	NUM
esrj-119576	304	7	-	-	SYM
esrj-119576	304	8	466	466	NUM
esrj-119576	304	9	.	.	PUNCT
esrj-119576	305	1	https://doi.org/10.1038/156463a0	https://doi.org/10.1038/156463a0	PROPN
esrj-119576	305	2	griffis	griffis	PROPN
esrj-119576	305	3	,	,	PUNCT
esrj-119576	305	4	v.	v.	PROPN
esrj-119576	305	5	w.	w.	PROPN
esrj-119576	305	6	,	,	PUNCT
esrj-119576	305	7	&	&	CCONJ
esrj-119576	305	8	stedinger	stedinger	PROPN
esrj-119576	305	9	,	,	PUNCT
esrj-119576	305	10	j.	j.	PROPN
esrj-119576	305	11	r.	r.	PROPN
esrj-119576	305	12	(	(	PUNCT
esrj-119576	305	13	2007	2007	NUM
esrj-119576	305	14	)	)	PUNCT
esrj-119576	305	15	.	.	PUNCT
esrj-119576	306	1	log	log	NOUN
esrj-119576	306	2	-	-	PUNCT
esrj-119576	306	3	pearson	pearson	NOUN
esrj-119576	306	4	type	type	NOUN
esrj-119576	306	5	3	3	NUM
esrj-119576	306	6	distribution	distribution	NOUN
esrj-119576	306	7	and	and	CCONJ
esrj-119576	306	8	its	its	PRON
esrj-119576	306	9	application	application	NOUN
esrj-119576	306	10	in	in	ADP
esrj-119576	306	11	flood	flood	NOUN
esrj-119576	306	12	frequency	frequency	NOUN
esrj-119576	306	13	analysis	analysis	NOUN
esrj-119576	306	14	.	.	PUNCT
esrj-119576	307	1	i	i	PRON
esrj-119576	307	2	:	:	PUNCT
esrj-119576	307	3	distribution	distribution	NOUN
esrj-119576	307	4	characteristics	characteristic	NOUN
esrj-119576	307	5	.	.	PUNCT
esrj-119576	308	1	journal	journal	NOUN
esrj-119576	308	2	of	of	ADP
esrj-119576	308	3	hydrologic	hydrologic	ADJ
esrj-119576	308	4	engineering	engineering	NOUN
esrj-119576	308	5	,	,	PUNCT
esrj-119576	308	6	12(5	12(5	NUM
esrj-119576	308	7	)	)	PUNCT
esrj-119576	308	8	,	,	PUNCT
esrj-119576	308	9	482–491	482–491	NUM
esrj-119576	308	10	.	.	PUNCT
esrj-119576	309	1	https://doi	https://doi	PROPN
esrj-119576	309	2	.	.	PUNCT
esrj-119576	309	3	org/10.1061/(asce)1084	org/10.1061/(asce)1084	NUM
esrj-119576	309	4	-	-	PUNCT
esrj-119576	309	5	0699(2007)12:5(482	0699(2007)12:5(482	NUM
esrj-119576	309	6	)	)	PUNCT
esrj-119576	309	7	ghosh	ghosh	PROPN
esrj-119576	309	8	,	,	PUNCT
esrj-119576	309	9	s.	s.	PROPN
esrj-119576	309	10	,	,	PUNCT
esrj-119576	309	11	roy	roy	PROPN
esrj-119576	309	12	,	,	PUNCT
esrj-119576	309	13	k.	k.	PROPN
esrj-119576	309	14	m.	m.	PROPN
esrj-119576	309	15	,	,	PUNCT
esrj-119576	309	16	&	&	CCONJ
esrj-119576	309	17	biswas	biswas	PROPN
esrj-119576	309	18	,	,	PUNCT
esrj-119576	309	19	c.	c.	PROPN
esrj-119576	309	20	s.	s.	PROPN
esrj-119576	309	21	(	(	PUNCT
esrj-119576	309	22	2016	2016	NUM
esrj-119576	309	23	)	)	PUNCT
esrj-119576	309	24	.	.	PUNCT
esrj-119576	310	1	determination	determination	NOUN
esrj-119576	310	2	of	of	ADP
esrj-119576	310	3	the	the	DET
esrj-119576	310	4	best	good	ADJ
esrj-119576	310	5	fit	fit	ADJ
esrj-119576	310	6	probability	probability	NOUN
esrj-119576	310	7	distribution	distribution	NOUN
esrj-119576	310	8	for	for	ADP
esrj-119576	310	9	monthly	monthly	ADJ
esrj-119576	310	10	rainfall	rainfall	NOUN
esrj-119576	310	11	data	datum	NOUN
esrj-119576	310	12	in	in	ADP
esrj-119576	310	13	bangladesh	bangladesh	PROPN
esrj-119576	310	14	.	.	PUNCT
esrj-119576	311	1	american	american	PROPN
esrj-119576	311	2	journal	journal	PROPN
esrj-119576	311	3	of	of	ADP
esrj-119576	311	4	mathematics	mathematics	PROPN
esrj-119576	311	5	and	and	CCONJ
esrj-119576	311	6	statistics	statistic	NOUN
esrj-119576	311	7	,	,	PUNCT
esrj-119576	311	8	6(4	6(4	NOUN
esrj-119576	311	9	)	)	PUNCT
esrj-119576	311	10	,	,	PUNCT
esrj-119576	311	11	170	170	NUM
esrj-119576	311	12	-	-	SYM
esrj-119576	311	13	174	174	NUM
esrj-119576	311	14	.	.	PUNCT
esrj-119576	312	1	doi	doi	NOUN
esrj-119576	312	2	:	:	PUNCT
esrj-119576	312	3	10.5923	10.5923	NUM
esrj-119576	312	4	/	/	SYM
esrj-119576	312	5	j.	j.	PROPN
esrj-119576	312	6	ajms.20160604.05	ajms.20160604.05	PROPN
esrj-119576	312	7	gupta	gupta	PROPN
esrj-119576	312	8	,	,	PUNCT
esrj-119576	312	9	s.	s.	PROPN
esrj-119576	312	10	c.	c.	PROPN
esrj-119576	312	11	,	,	PUNCT
esrj-119576	312	12	&	&	CCONJ
esrj-119576	312	13	kapoor	kapoor	PROPN
esrj-119576	312	14	,	,	PUNCT
esrj-119576	312	15	v.	v.	PROPN
esrj-119576	312	16	k.	k.	PROPN
esrj-119576	312	17	(	(	PUNCT
esrj-119576	312	18	1997	1997	NUM
esrj-119576	312	19	)	)	PUNCT
esrj-119576	312	20	.	.	PUNCT
esrj-119576	313	1	fundamentals	fundamental	NOUN
esrj-119576	313	2	of	of	ADP
esrj-119576	313	3	mathematical	mathematical	ADJ
esrj-119576	313	4	statistics	statistic	NOUN
esrj-119576	313	5	.	.	PUNCT
esrj-119576	314	1	sultan	sultan	PROPN
esrj-119576	314	2	chand	chand	PROPN
esrj-119576	314	3	and	and	CCONJ
esrj-119576	314	4	sons	son	NOUN
esrj-119576	314	5	,	,	PUNCT
esrj-119576	314	6	new	new	ADJ
esrj-119576	314	7	delhi	delhi	ADJ
esrj-119576	314	8	:	:	PUNCT
esrj-119576	314	9	11.23	11.23	NUM
esrj-119576	314	10	-	-	SYM
esrj-119576	314	11	12.2	12.2	NUM
esrj-119576	314	12	gumbel	gumbel	NOUN
esrj-119576	314	13	,	,	PUNCT
esrj-119576	314	14	e.	e.	PROPN
esrj-119576	314	15	j.	j.	PROPN
esrj-119576	314	16	(	(	PUNCT
esrj-119576	314	17	1941	1941	NUM
esrj-119576	314	18	)	)	PUNCT
esrj-119576	314	19	.	.	PUNCT
esrj-119576	315	1	the	the	DET
esrj-119576	315	2	return	return	NOUN
esrj-119576	315	3	period	period	NOUN
esrj-119576	315	4	of	of	ADP
esrj-119576	315	5	flood	flood	NOUN
esrj-119576	315	6	flows	flow	NOUN
esrj-119576	315	7	.	.	PUNCT
esrj-119576	316	1	the	the	DET
esrj-119576	316	2	annals	annal	NOUN
esrj-119576	316	3	of	of	ADP
esrj-119576	316	4	mathematical	mathematical	ADJ
esrj-119576	316	5	statistics	statistic	NOUN
esrj-119576	316	6	,	,	PUNCT
esrj-119576	316	7	12	12	NUM
esrj-119576	316	8	,	,	PUNCT
esrj-119576	316	9	163	163	NUM
esrj-119576	316	10	-	-	SYM
esrj-119576	316	11	190	190	NUM
esrj-119576	316	12	.	.	PUNCT
esrj-119576	317	1	haseeb	haseeb	PROPN
esrj-119576	317	2	,	,	PUNCT
esrj-119576	317	3	f.	f.	PROPN
esrj-119576	317	4	,	,	PUNCT
esrj-119576	317	5	ali	ali	PROPN
esrj-119576	317	6	,	,	PUNCT
esrj-119576	317	7	s.	s.	PROPN
esrj-119576	317	8	,	,	PUNCT
esrj-119576	317	9	ahmed	ahmed	PROPN
esrj-119576	317	10	,	,	PUNCT
esrj-119576	317	11	n.	n.	NOUN
esrj-119576	317	12	,	,	PUNCT
esrj-119576	317	13	alarifi	alarifi	NOUN
esrj-119576	317	14	,	,	PUNCT
esrj-119576	317	15	n.	n.	NOUN
esrj-119576	317	16	,	,	PUNCT
esrj-119576	317	17	&	&	CCONJ
esrj-119576	317	18	youssef	youssef	PROPN
esrj-119576	317	19	,	,	PUNCT
esrj-119576	317	20	y.	y.	PROPN
esrj-119576	317	21	m.	m.	PROPN
esrj-119576	317	22	(	(	PUNCT
esrj-119576	317	23	2025	2025	NUM
esrj-119576	317	24	)	)	PUNCT
esrj-119576	317	25	.	.	PUNCT
esrj-119576	318	1	comprehensive	comprehensive	ADJ
esrj-119576	318	2	probabilistic	probabilistic	ADJ
esrj-119576	318	3	analysis	analysis	NOUN
esrj-119576	318	4	and	and	CCONJ
esrj-119576	318	5	practical	practical	ADJ
esrj-119576	318	6	implications	implication	NOUN
esrj-119576	318	7	of	of	ADP
esrj-119576	318	8	rainfall	rainfall	NOUN
esrj-119576	318	9	distribution	distribution	NOUN
esrj-119576	318	10	in	in	ADP
esrj-119576	318	11	pakistan	pakistan	PROPN
esrj-119576	318	12	.	.	PUNCT
esrj-119576	319	1	atmosphere	atmosphere	NOUN
esrj-119576	319	2	,	,	PUNCT
esrj-119576	319	3	16(2	16(2	NUM
esrj-119576	319	4	)	)	PUNCT
esrj-119576	319	5	,	,	PUNCT
esrj-119576	319	6	122	122	NUM
esrj-119576	319	7	.	.	PUNCT
esrj-119576	320	1	https://doi.org/10.3390/	https://doi.org/10.3390/	PROPN
esrj-119576	320	2	atmos16020122	atmos16020122	PROPN
esrj-119576	320	3	johnson	johnson	PROPN
esrj-119576	320	4	,	,	PUNCT
esrj-119576	320	5	n.	n.	PROPN
esrj-119576	320	6	l.	l.	PROPN
esrj-119576	320	7	,	,	PUNCT
esrj-119576	320	8	kotz	kotz	PROPN
esrj-119576	320	9	.	.	PUNCT
esrj-119576	321	1	s.	s.	PROPN
esrj-119576	321	2	,	,	PUNCT
esrj-119576	321	3	&	&	CCONJ
esrj-119576	321	4	balakrishnan	balakrishnan	PROPN
esrj-119576	321	5	,	,	PUNCT
esrj-119576	321	6	n.	n.	PROPN
esrj-119576	321	7	(	(	PUNCT
esrj-119576	321	8	1995	1995	NUM
esrj-119576	321	9	)	)	PUNCT
esrj-119576	321	10	.	.	PUNCT
esrj-119576	322	1	continuous	continuous	ADJ
esrj-119576	322	2	univariate	univariate	ADJ
esrj-119576	322	3	distributions	distribution	NOUN
esrj-119576	322	4	.	.	PUNCT
esrj-119576	323	1	wiley	wiley	PROPN
esrj-119576	323	2	,	,	PUNCT
esrj-119576	323	3	new	new	PROPN
esrj-119576	323	4	york	york	PROPN
esrj-119576	323	5	,	,	PUNCT
esrj-119576	323	6	2nd	2nd	PROPN
esrj-119576	323	7	.	.	PUNCT
esrj-119576	324	1	edition	edition	PROPN
esrj-119576	324	2	.	.	PUNCT
esrj-119576	325	1	karami	karami	PROPN
esrj-119576	325	2	,	,	PUNCT
esrj-119576	325	3	h.	h.	PROPN
esrj-119576	325	4	,	,	PUNCT
esrj-119576	325	5	ghazvinian	ghazvinian	PROPN
esrj-119576	325	6	,	,	PUNCT
esrj-119576	325	7	h.	h.	PROPN
esrj-119576	325	8	,	,	PUNCT
esrj-119576	325	9	&	&	CCONJ
esrj-119576	325	10	dadrasajirlou	dadrasajirlou	NOUN
esrj-119576	325	11	,	,	PUNCT
esrj-119576	325	12	y.	y.	PROPN
esrj-119576	325	13	(	(	PUNCT
esrj-119576	325	14	2023	2023	NUM
esrj-119576	325	15	)	)	PUNCT
esrj-119576	325	16	.	.	PUNCT
esrj-119576	326	1	application	application	NOUN
esrj-119576	326	2	of	of	ADP
esrj-119576	326	3	statistical	statistical	ADJ
esrj-119576	326	4	and	and	CCONJ
esrj-119576	326	5	geostatistical	geostatistical	ADJ
esrj-119576	326	6	approaches	approach	NOUN
esrj-119576	326	7	in	in	ADP
esrj-119576	326	8	temporal	temporal	ADJ
esrj-119576	326	9	and	and	CCONJ
esrj-119576	326	10	spatial	spatial	ADJ
esrj-119576	326	11	estimations	estimation	NOUN
esrj-119576	326	12	of	of	ADP
esrj-119576	326	13	rainfall	rainfall	NOUN
esrj-119576	326	14	.	.	PUNCT
esrj-119576	327	1	journal	journal	NOUN
esrj-119576	327	2	of	of	ADP
esrj-119576	327	3	water	water	NOUN
esrj-119576	327	4	and	and	CCONJ
esrj-119576	327	5	climate	climate	NOUN
esrj-119576	327	6	change	change	NOUN
esrj-119576	327	7	,	,	PUNCT
esrj-119576	327	8	14(5	14(5	NUM
esrj-119576	327	9	)	)	PUNCT
esrj-119576	327	10	,	,	PUNCT
esrj-119576	327	11	1696	1696	NUM
esrj-119576	327	12	-	-	SYM
esrj-119576	327	13	1722	1722	NUM
esrj-119576	327	14	.	.	PUNCT
esrj-119576	328	1	https://	https://	PROPN
esrj-119576	328	2	doi.org/10.2166/wcc.2023	doi.org/10.2166/wcc.2023	PROPN
esrj-119576	328	3	.	.	PUNCT
esrj-119576	329	1	kottegoda	kottegoda	PROPN
esrj-119576	329	2	,	,	PUNCT
esrj-119576	329	3	n.	n.	PROPN
esrj-119576	329	4	t.	t.	PROPN
esrj-119576	329	5	(	(	PUNCT
esrj-119576	329	6	1987	1987	NUM
esrj-119576	329	7	)	)	PUNCT
esrj-119576	329	8	.	.	PUNCT
esrj-119576	330	1	fitting	fitting	PROPN
esrj-119576	330	2	johnson	johnson	PROPN
esrj-119576	330	3	sb	sb	PROPN
esrj-119576	330	4	curve	curve	PROPN
esrj-119576	330	5	by	by	ADP
esrj-119576	330	6	the	the	DET
esrj-119576	330	7	method	method	NOUN
esrj-119576	330	8	of	of	ADP
esrj-119576	330	9	maximum	maximum	ADJ
esrj-119576	330	10	likelihood	likelihood	NOUN
esrj-119576	330	11	to	to	ADP
esrj-119576	330	12	annual	annual	ADJ
esrj-119576	330	13	maximum	maximum	ADJ
esrj-119576	330	14	daily	daily	ADJ
esrj-119576	330	15	rainfalls	rainfall	NOUN
esrj-119576	330	16	.	.	PUNCT
esrj-119576	331	1	water	water	NOUN
esrj-119576	331	2	resources	resource	NOUN
esrj-119576	331	3	research	research	NOUN
esrj-119576	331	4	,	,	PUNCT
esrj-119576	331	5	23(4	23(4	NOUN
esrj-119576	331	6	)	)	PUNCT
esrj-119576	331	7	,	,	PUNCT
esrj-119576	331	8	728–732	728–732	NUM
esrj-119576	331	9	koutrouvelis	koutrouveli	NOUN
esrj-119576	331	10	,	,	PUNCT
esrj-119576	331	11	i.	i.	PROPN
esrj-119576	331	12	a.	a.	PROPN
esrj-119576	331	13	,	,	PUNCT
esrj-119576	331	14	&	&	CCONJ
esrj-119576	331	15	canavos	canavos	PROPN
esrj-119576	331	16	,	,	PUNCT
esrj-119576	331	17	g.	g.	PROPN
esrj-119576	331	18	c.	c.	PROPN
esrj-119576	331	19	(	(	PUNCT
esrj-119576	331	20	1999	1999	NUM
esrj-119576	331	21	)	)	PUNCT
esrj-119576	331	22	.	.	PUNCT
esrj-119576	332	1	estimation	estimation	NOUN
esrj-119576	332	2	in	in	ADP
esrj-119576	332	3	the	the	DET
esrj-119576	332	4	pearson	pearson	NOUN
esrj-119576	332	5	type	type	NOUN
esrj-119576	332	6	3	3	NUM
esrj-119576	332	7	distribution	distribution	NOUN
esrj-119576	332	8	.	.	PUNCT
esrj-119576	333	1	water	water	NOUN
esrj-119576	333	2	resources	resource	NOUN
esrj-119576	333	3	research	research	NOUN
esrj-119576	333	4	,	,	PUNCT
esrj-119576	333	5	35(9	35(9	NUM
esrj-119576	333	6	)	)	PUNCT
esrj-119576	333	7	,	,	PUNCT
esrj-119576	333	8	2693–2704	2693–2704	NUM
esrj-119576	333	9	.	.	PUNCT
esrj-119576	334	1	http://dsp.imdpune.gov.in/	http://dsp.imdpune.gov.in/	PROPN
esrj-119576	334	2	https://doi.org/10.1007/s00704-022-04286-z	https://doi.org/10.1007/s00704-022-04286-z	PROPN
esrj-119576	334	3	https://https://www.indiawaterportal.org	https://https://www.indiawaterportal.org	PROPN
esrj-119576	334	4	/	/	SYM
esrj-119576	334	5	articles	article	NOUN
esrj-119576	334	6	/	/	SYM
esrj-119576	334	7	assams	assam	NOUN
esrj-119576	334	8	-	-	PUNCT
esrj-119576	334	9	strategy	strategy	NOUN
esrj-119576	334	10	-	-	PUNCT
esrj-119576	334	11	and	and	CCONJ
esrj-119576	334	12	-	-	PUNCT
esrj-119576	334	13	action	action	NOUN
esrj-119576	334	14	-	-	PUNCT
esrj-119576	334	15	plan	plan	NOUN
esrj-119576	334	16	-	-	PUNCT
esrj-119576	334	17	climate	climate	NOUN
esrj-119576	334	18	-	-	PUNCT
esrj-119576	334	19	change	change	NOUN
esrj-119576	334	20	-	-	PUNCT
esrj-119576	334	21	recommendations	recommendation	NOUN
esrj-119576	334	22	-	-	PUNCT
esrj-119576	334	23	first	first	ADJ
esrj-119576	334	24	-	-	PUNCT
esrj-119576	334	25	draft	draft	NOUN
esrj-119576	334	26	-	-	PUNCT
esrj-119576	334	27	astec-2011	astec-2011	ADJ
esrj-119576	334	28	https://https://www.indiawaterportal.org	https://https://www.indiawaterportal.org	NOUN
esrj-119576	334	29	/	/	SYM
esrj-119576	334	30	articles	article	NOUN
esrj-119576	334	31	/	/	SYM
esrj-119576	334	32	assams	assam	NOUN
esrj-119576	334	33	-	-	PUNCT
esrj-119576	334	34	strategy	strategy	NOUN
esrj-119576	334	35	-	-	PUNCT
esrj-119576	334	36	and	and	CCONJ
esrj-119576	334	37	-	-	PUNCT
esrj-119576	334	38	action	action	NOUN
esrj-119576	334	39	-	-	PUNCT
esrj-119576	334	40	plan	plan	NOUN
esrj-119576	334	41	-	-	PUNCT
esrj-119576	334	42	climate	climate	NOUN
esrj-119576	334	43	-	-	PUNCT
esrj-119576	334	44	change	change	NOUN
esrj-119576	334	45	-	-	PUNCT
esrj-119576	334	46	recommendations	recommendation	NOUN
esrj-119576	334	47	-	-	PUNCT
esrj-119576	334	48	first	first	ADJ
esrj-119576	334	49	-	-	PUNCT
esrj-119576	334	50	draft	draft	NOUN
esrj-119576	334	51	-	-	PUNCT
esrj-119576	334	52	astec-2011	astec-2011	ADJ
esrj-119576	334	53	https://https://www.indiawaterportal.org	https://https://www.indiawaterportal.org	NOUN
esrj-119576	334	54	/	/	SYM
esrj-119576	334	55	articles	article	NOUN
esrj-119576	334	56	/	/	SYM
esrj-119576	334	57	assams	assam	NOUN
esrj-119576	334	58	-	-	PUNCT
esrj-119576	334	59	strategy	strategy	NOUN
esrj-119576	334	60	-	-	PUNCT
esrj-119576	334	61	and	and	CCONJ
esrj-119576	334	62	-	-	PUNCT
esrj-119576	334	63	action	action	NOUN
esrj-119576	334	64	-	-	PUNCT
esrj-119576	334	65	plan	plan	NOUN
esrj-119576	334	66	-	-	PUNCT
esrj-119576	334	67	climate	climate	NOUN
esrj-119576	334	68	-	-	PUNCT
esrj-119576	334	69	change	change	NOUN
esrj-119576	334	70	-	-	PUNCT
esrj-119576	334	71	recommendations	recommendation	NOUN
esrj-119576	334	72	-	-	PUNCT
esrj-119576	334	73	first	first	ADJ
esrj-119576	334	74	-	-	PUNCT
esrj-119576	334	75	draft	draft	NOUN
esrj-119576	334	76	-	-	PUNCT
esrj-119576	334	77	astec-2011	astec-2011	NOUN
esrj-119576	334	78	https://doi.org/10.1515/biol-2016-0057	https://doi.org/10.1515/biol-2016-0057	NOUN
esrj-119576	334	79	https://doi.org/10.1029/wr013i002p00427	https://doi.org/10.1029/wr013i002p00427	NOUN
esrj-119576	334	80	https://doi.org/10.20546/ijcmas.2018.703.178	https://doi.org/10.20546/ijcmas.2018.703.178	PROPN
esrj-119576	334	81	https://doi.org/10.20546/ijcmas.2018.703.178	https://doi.org/10.20546/ijcmas.2018.703.178	PROPN
esrj-119576	334	82	https://doi.org/10.54302/mausam.v74i4.805	https://doi.org/10.54302/mausam.v74i4.805	VERB
esrj-119576	334	83	https://doi.org/10.1016/j.atmosres.2017.08.025	https://doi.org/10.1016/j.atmosres.2017.08.025	PROPN
esrj-119576	334	84	https://doi.org/10.1016/j.atmosres.2017.08.025	https://doi.org/10.1016/j.atmosres.2017.08.025	PROPN
esrj-119576	334	85	https://doi.org/10.1038/156463a0	https://doi.org/10.1038/156463a0	PROPN
esrj-119576	334	86	https://doi.org/10.1061/(asce)1084-0699(2007)12	https://doi.org/10.1061/(asce)1084-0699(2007)12	PROPN
esrj-119576	334	87	https://doi.org/10.1061/(asce)1084-0699(2007)12	https://doi.org/10.1061/(asce)1084-0699(2007)12	PROPN
esrj-119576	334	88	https://doi.org/10.3390/atmos16020122	https://doi.org/10.3390/atmos16020122	PROPN
esrj-119576	334	89	https://doi.org/10.3390/atmos16020122	https://doi.org/10.3390/atmos16020122	NOUN
esrj-119576	334	90	https://doi.org/10.2166/wcc.2023	https://doi.org/10.2166/wcc.2023	PROPN
esrj-119576	334	91	https://doi.org/10.2166/wcc.2023	https://doi.org/10.2166/wcc.2023	PROPN
esrj-119576	334	92	375fitting	375fitting	PROPN
esrj-119576	334	93	of	of	ADP
esrj-119576	334	94	statistical	statistical	ADJ
esrj-119576	334	95	distribution	distribution	NOUN
esrj-119576	334	96	in	in	ADP
esrj-119576	334	97	assessing	assess	VERB
esrj-119576	334	98	rainfall	rainfall	NOUN
esrj-119576	334	99	patterns	pattern	NOUN
esrj-119576	334	100	across	across	ADP
esrj-119576	334	101	various	various	ADJ
esrj-119576	334	102	zones	zone	NOUN
esrj-119576	334	103	of	of	ADP
esrj-119576	334	104	assam	assam	PROPN
esrj-119576	334	105	,	,	PUNCT
esrj-119576	334	106	india	india	PROPN
esrj-119576	334	107	kumar	kumar	PROPN
esrj-119576	334	108	,	,	PUNCT
esrj-119576	334	109	v.	v.	PROPN
esrj-119576	334	110	,	,	PUNCT
esrj-119576	334	111	khan	khan	PROPN
esrj-119576	334	112	,	,	PUNCT
esrj-119576	334	113	s.	s.	PROPN
esrj-119576	334	114	,	,	PUNCT
esrj-119576	334	115	&	&	CCONJ
esrj-119576	334	116	jahangeer	jahangeer	PROPN
esrj-119576	334	117	,	,	PUNCT
esrj-119576	334	118	j.	j.	PROPN
esrj-119576	334	119	(	(	PUNCT
esrj-119576	334	120	2017	2017	NUM
esrj-119576	334	121	)	)	PUNCT
esrj-119576	334	122	.	.	PUNCT
esrj-119576	335	1	statistical	statistical	ADJ
esrj-119576	335	2	distribution	distribution	NOUN
esrj-119576	335	3	of	of	ADP
esrj-119576	335	4	rainfall	rainfall	NOUN
esrj-119576	335	5	in	in	ADP
esrj-119576	335	6	uttarakhand	uttarakhand	PROPN
esrj-119576	335	7	,	,	PUNCT
esrj-119576	335	8	india	india	PROPN
esrj-119576	335	9	.	.	PROPN
esrj-119576	335	10	applied	apply	VERB
esrj-119576	335	11	water	water	NOUN
esrj-119576	335	12	science	science	NOUN
esrj-119576	335	13	,	,	PUNCT
esrj-119576	335	14	7	7	NUM
esrj-119576	335	15	,	,	PUNCT
esrj-119576	335	16	4765	4765	NUM
esrj-119576	335	17	-	-	SYM
esrj-119576	335	18	4777	4777	NUM
esrj-119576	335	19	.	.	PUNCT
esrj-119576	336	1	https://doi	https://doi	X
esrj-119576	336	2	.	.	PUNCT
esrj-119576	336	3	org/10.1007	org/10.1007	PROPN
esrj-119576	336	4	/	/	SYM
esrj-119576	336	5	s13201	s13201	NOUN
esrj-119576	336	6	-	-	PUNCT
esrj-119576	336	7	017	017	NUM
esrj-119576	336	8	-	-	PUNCT
esrj-119576	336	9	0586	0586	NUM
esrj-119576	336	10	-	-	SYM
esrj-119576	336	11	5	5	NUM
esrj-119576	336	12	kurniawan	kurniawan	NOUN
esrj-119576	336	13	,	,	PUNCT
esrj-119576	336	14	v.	v.	PROPN
esrj-119576	336	15	(	(	PUNCT
esrj-119576	336	16	2019	2019	NUM
esrj-119576	336	17	)	)	PUNCT
esrj-119576	336	18	.	.	PUNCT
esrj-119576	337	1	distribution	distribution	NOUN
esrj-119576	337	2	fitting	fit	VERB
esrj-119576	337	3	on	on	ADP
esrj-119576	337	4	rainfall	rainfall	NOUN
esrj-119576	337	5	data	datum	NOUN
esrj-119576	337	6	in	in	ADP
esrj-119576	337	7	jakarta	jakarta	PROPN
esrj-119576	337	8	.	.	PUNCT
esrj-119576	338	1	first	first	ADJ
esrj-119576	338	2	international	international	ADJ
esrj-119576	338	3	conference	conference	NOUN
esrj-119576	338	4	of	of	ADP
esrj-119576	338	5	construction	construction	NOUN
esrj-119576	338	6	,	,	PUNCT
esrj-119576	338	7	infrastructure	infrastructure	NOUN
esrj-119576	338	8	,	,	PUNCT
esrj-119576	338	9	and	and	CCONJ
esrj-119576	338	10	materials	material	NOUN
esrj-119576	338	11	,	,	PUNCT
esrj-119576	338	12	650	650	NUM
esrj-119576	338	13	.	.	PUNCT
esrj-119576	339	1	doi	doi	NOUN
esrj-119576	339	2	:	:	PUNCT
esrj-119576	339	3	10.1088/1757	10.1088/1757	NUM
esrj-119576	339	4	-	-	PUNCT
esrj-119576	339	5	899x/650/1/012060	899x/650/1/012060	NOUN
esrj-119576	339	6	mamoon	mamoon	NOUN
esrj-119576	339	7	,	,	PUNCT
esrj-119576	339	8	a.	a.	NOUN
esrj-119576	339	9	a.	a.	PROPN
esrj-119576	339	10	&	&	CCONJ
esrj-119576	339	11	rahman	rahman	PROPN
esrj-119576	339	12	,	,	PUNCT
esrj-119576	339	13	a.	a.	NOUN
esrj-119576	339	14	(	(	PUNCT
esrj-119576	339	15	2017	2017	NUM
esrj-119576	339	16	)	)	PUNCT
esrj-119576	339	17	.	.	PUNCT
esrj-119576	340	1	selection	selection	NOUN
esrj-119576	340	2	of	of	ADP
esrj-119576	340	3	the	the	DET
esrj-119576	340	4	best	good	ADJ
esrj-119576	340	5	fit	fit	ADJ
esrj-119576	340	6	probability	probability	NOUN
esrj-119576	340	7	distribution	distribution	NOUN
esrj-119576	340	8	in	in	ADP
esrj-119576	340	9	rainfall	rainfall	NOUN
esrj-119576	340	10	frequency	frequency	NOUN
esrj-119576	340	11	analysis	analysis	NOUN
esrj-119576	340	12	for	for	ADP
esrj-119576	340	13	qatar	qatar	NOUN
esrj-119576	340	14	.	.	PUNCT
esrj-119576	341	1	natural	natural	ADJ
esrj-119576	341	2	hazards	hazard	NOUN
esrj-119576	341	3	,	,	PUNCT
esrj-119576	341	4	86	86	NUM
esrj-119576	341	5	,	,	PUNCT
esrj-119576	341	6	281	281	NUM
esrj-119576	341	7	-	-	SYM
esrj-119576	341	8	296	296	NUM
esrj-119576	341	9	.	.	PUNCT
esrj-119576	342	1	https://doi.org/10.1007/s11069-016-2687-0	https://doi.org/10.1007/s11069-016-2687-0	PROPN
esrj-119576	342	2	mandal	mandal	PROPN
esrj-119576	342	3	,	,	PUNCT
esrj-119576	342	4	s.	s.	PROPN
esrj-119576	342	5	,	,	PUNCT
esrj-119576	342	6	&	&	CCONJ
esrj-119576	342	7	choudhury	choudhury	PROPN
esrj-119576	342	8	,	,	PUNCT
esrj-119576	342	9	b.	b.	PROPN
esrj-119576	342	10	(	(	PUNCT
esrj-119576	342	11	2015	2015	NUM
esrj-119576	342	12	)	)	PUNCT
esrj-119576	342	13	.	.	PUNCT
esrj-119576	343	1	estimation	estimation	NOUN
esrj-119576	343	2	and	and	CCONJ
esrj-119576	343	3	prediction	prediction	NOUN
esrj-119576	343	4	of	of	ADP
esrj-119576	343	5	maximum	maximum	ADJ
esrj-119576	343	6	daily	daily	ADJ
esrj-119576	343	7	rainfall	rainfall	NOUN
esrj-119576	343	8	at	at	ADP
esrj-119576	343	9	sagar	sagar	PROPN
esrj-119576	343	10	island	island	PROPN
esrj-119576	343	11	using	use	VERB
esrj-119576	343	12	best	good	ADJ
esrj-119576	343	13	fit	fit	ADJ
esrj-119576	343	14	probability	probability	NOUN
esrj-119576	343	15	models	model	NOUN
esrj-119576	343	16	.	.	PUNCT
esrj-119576	344	1	theoretical	theoretical	ADJ
esrj-119576	344	2	and	and	CCONJ
esrj-119576	344	3	applied	applied	ADJ
esrj-119576	344	4	climatology	climatology	NOUN
esrj-119576	344	5	,	,	PUNCT
esrj-119576	344	6	121	121	NUM
esrj-119576	344	7	,	,	PUNCT
esrj-119576	344	8	87	87	NUM
esrj-119576	344	9	-	-	SYM
esrj-119576	344	10	97	97	NUM
esrj-119576	344	11	.	.	PUNCT
esrj-119576	345	1	https://doi.org/10.1007/	https://doi.org/10.1007/	PROPN
esrj-119576	345	2	s00704	s00704	PROPN
esrj-119576	345	3	-	-	ADJ
esrj-119576	345	4	014	014	NUM
esrj-119576	345	5	-	-	PUNCT
esrj-119576	345	6	1212	1212	NUM
esrj-119576	345	7	-	-	SYM
esrj-119576	345	8	1	1	NUM
esrj-119576	345	9	millington	millington	NOUN
esrj-119576	345	10	,	,	PUNCT
esrj-119576	345	11	n.	n.	PROPN
esrj-119576	345	12	,	,	PUNCT
esrj-119576	345	13	das	das	PROPN
esrj-119576	345	14	,	,	PUNCT
esrj-119576	345	15	s.	s.	PROPN
esrj-119576	345	16	,	,	PUNCT
esrj-119576	345	17	&	&	CCONJ
esrj-119576	345	18	simonovic	simonovic	PROPN
esrj-119576	345	19	,	,	PUNCT
esrj-119576	345	20	s.	s.	PROPN
esrj-119576	345	21	(	(	PUNCT
esrj-119576	345	22	2011	2011	NUM
esrj-119576	345	23	)	)	PUNCT
esrj-119576	345	24	.	.	PUNCT
esrj-119576	346	1	the	the	DET
esrj-119576	346	2	comparison	comparison	NOUN
esrj-119576	346	3	of	of	ADP
esrj-119576	346	4	gev	gev	PROPN
esrj-119576	346	5	,	,	PUNCT
esrj-119576	346	6	log	log	NOUN
esrj-119576	346	7	-	-	PUNCT
esrj-119576	346	8	pearson	pearson	NOUN
esrj-119576	346	9	type	type	NOUN
esrj-119576	346	10	3	3	NUM
esrj-119576	346	11	and	and	CCONJ
esrj-119576	346	12	gumbel	gumbel	PROPN
esrj-119576	346	13	distributions	distribution	NOUN
esrj-119576	346	14	in	in	ADP
esrj-119576	346	15	the	the	DET
esrj-119576	346	16	upper	upper	ADJ
esrj-119576	346	17	thames	thames	PROPN
esrj-119576	346	18	river	river	PROPN
esrj-119576	346	19	watershed	watershe	VERB
esrj-119576	346	20	under	under	ADP
esrj-119576	346	21	global	global	ADJ
esrj-119576	346	22	climate	climate	NOUN
esrj-119576	346	23	models	model	NOUN
esrj-119576	346	24	(	(	PUNCT
esrj-119576	346	25	water	water	NOUN
esrj-119576	346	26	resource	resource	NOUN
esrj-119576	346	27	report	report	NOUN
esrj-119576	346	28	no	no	INTJ
esrj-119576	346	29	.	.	PROPN
esrj-119576	346	30	077	077	NUM
esrj-119576	346	31	)	)	PUNCT
esrj-119576	346	32	.	.	PUNCT
esrj-119576	347	1	department	department	NOUN
esrj-119576	347	2	of	of	ADP
esrj-119576	347	3	civil	civil	ADJ
esrj-119576	347	4	and	and	CCONJ
esrj-119576	347	5	environmental	environmental	ADJ
esrj-119576	347	6	engineering	engineering	NOUN
esrj-119576	347	7	,	,	PUNCT
esrj-119576	347	8	the	the	DET
esrj-119576	347	9	university	university	NOUN
esrj-119576	347	10	of	of	ADP
esrj-119576	347	11	western	western	PROPN
esrj-119576	347	12	ontario	ontario	PROPN
esrj-119576	347	13	.	.	PUNCT
esrj-119576	348	1	moccia	moccia	PROPN
esrj-119576	348	2	,	,	PUNCT
esrj-119576	348	3	b.	b.	PROPN
esrj-119576	348	4	,	,	PUNCT
esrj-119576	348	5	mineo	mineo	PROPN
esrj-119576	348	6	,	,	PUNCT
esrj-119576	348	7	c.	c.	NOUN
esrj-119576	348	8	,	,	PUNCT
esrj-119576	348	9	ridolfi	ridolfi	NOUN
esrj-119576	348	10	,	,	PUNCT
esrj-119576	348	11	e.	e.	PROPN
esrj-119576	348	12	,	,	PUNCT
esrj-119576	348	13	russo	russo	PROPN
esrj-119576	348	14	,	,	PUNCT
esrj-119576	348	15	f.	f.	PROPN
esrj-119576	348	16	,	,	PUNCT
esrj-119576	348	17	&	&	CCONJ
esrj-119576	348	18	napolitano	napolitano	PROPN
esrj-119576	348	19	,	,	PUNCT
esrj-119576	348	20	f.	f.	PROPN
esrj-119576	348	21	(	(	PUNCT
esrj-119576	348	22	2021	2021	NUM
esrj-119576	348	23	)	)	PUNCT
esrj-119576	348	24	.	.	PUNCT
esrj-119576	349	1	probability	probability	NOUN
esrj-119576	349	2	distributions	distribution	NOUN
esrj-119576	349	3	of	of	ADP
esrj-119576	349	4	daily	daily	ADJ
esrj-119576	349	5	rainfall	rainfall	NOUN
esrj-119576	349	6	extremes	extreme	NOUN
esrj-119576	349	7	in	in	ADP
esrj-119576	349	8	lazio	lazio	PROPN
esrj-119576	349	9	and	and	CCONJ
esrj-119576	349	10	sicily	sicily	ADV
esrj-119576	349	11	,	,	PUNCT
esrj-119576	349	12	italy	italy	PROPN
esrj-119576	349	13	,	,	PUNCT
esrj-119576	349	14	and	and	CCONJ
esrj-119576	349	15	design	design	NOUN
esrj-119576	349	16	rainfall	rainfall	NOUN
esrj-119576	349	17	inferences	inference	NOUN
esrj-119576	349	18	.	.	PUNCT
esrj-119576	350	1	journal	journal	NOUN
esrj-119576	350	2	of	of	ADP
esrj-119576	350	3	hydrology	hydrology	NOUN
esrj-119576	350	4	:	:	PUNCT
esrj-119576	350	5	regional	regional	ADJ
esrj-119576	350	6	studies	study	NOUN
esrj-119576	350	7	,	,	PUNCT
esrj-119576	350	8	33	33	NUM
esrj-119576	350	9	,	,	PUNCT
esrj-119576	350	10	100771	100771	NUM
esrj-119576	350	11	.	.	PUNCT
esrj-119576	351	1	https://doi.org/10.1016/j.ejrh.2020.100771	https://doi.org/10.1016/j.ejrh.2020.100771	PROPN
esrj-119576	351	2	mohamed	mohamed	PROPN
esrj-119576	351	3	,	,	PUNCT
esrj-119576	351	4	j.	j.	PROPN
esrj-119576	351	5	,	,	PUNCT
esrj-119576	351	6	&	&	CCONJ
esrj-119576	351	7	adam	adam	PROPN
esrj-119576	351	8	,	,	PUNCT
esrj-119576	351	9	b.	b.	PROPN
esrj-119576	351	10	m.	m.	NOUN
esrj-119576	351	11	(	(	PUNCT
esrj-119576	351	12	2022	2022	NUM
esrj-119576	351	13	)	)	PUNCT
esrj-119576	351	14	.	.	PUNCT
esrj-119576	352	1	modeling	modeling	NOUN
esrj-119576	352	2	of	of	ADP
esrj-119576	352	3	magnitude	magnitude	NOUN
esrj-119576	352	4	and	and	CCONJ
esrj-119576	352	5	frequency	frequency	NOUN
esrj-119576	352	6	of	of	ADP
esrj-119576	352	7	extreme	extreme	ADJ
esrj-119576	352	8	rainfall	rainfall	NOUN
esrj-119576	352	9	in	in	ADP
esrj-119576	352	10	somalia	somalia	PROPN
esrj-119576	352	11	.	.	PUNCT
esrj-119576	353	1	modelling	model	VERB
esrj-119576	353	2	earth	earth	NOUN
esrj-119576	353	3	systems	system	NOUN
esrj-119576	353	4	and	and	CCONJ
esrj-119576	353	5	environment	environment	NOUN
esrj-119576	353	6	,	,	PUNCT
esrj-119576	353	7	8	8	NUM
esrj-119576	353	8	,	,	PUNCT
esrj-119576	353	9	4277	4277	NUM
esrj-119576	353	10	-	-	SYM
esrj-119576	353	11	4294	4294	NUM
esrj-119576	353	12	.	.	PUNCT
esrj-119576	354	1	https://doi.org/10.1007/s40808-022-01363-0	https://doi.org/10.1007/s40808-022-01363-0	PROPN
esrj-119576	354	2	olofintoye	olofintoye	NOUN
esrj-119576	354	3	,	,	PUNCT
esrj-119576	354	4	o.	o.	PROPN
esrj-119576	354	5	,	,	PUNCT
esrj-119576	354	6	sule	sule	PROPN
esrj-119576	354	7	,	,	PUNCT
esrj-119576	354	8	b.	b.	PROPN
esrj-119576	354	9	,	,	PUNCT
esrj-119576	354	10	&	&	CCONJ
esrj-119576	354	11	salami	salami	NOUN
esrj-119576	354	12	,	,	PUNCT
esrj-119576	354	13	a.	a.	NOUN
esrj-119576	354	14	(	(	PUNCT
esrj-119576	354	15	2009	2009	NUM
esrj-119576	354	16	)	)	PUNCT
esrj-119576	354	17	.	.	PUNCT
esrj-119576	355	1	best	good	ADJ
esrj-119576	355	2	-	-	PUNCT
esrj-119576	355	3	fit	fit	ADJ
esrj-119576	355	4	probability	probability	NOUN
esrj-119576	355	5	distribution	distribution	NOUN
esrj-119576	355	6	model	model	NOUN
esrj-119576	355	7	for	for	ADP
esrj-119576	355	8	peak	peak	NOUN
esrj-119576	355	9	daily	daily	ADJ
esrj-119576	355	10	rainfall	rainfall	NOUN
esrj-119576	355	11	of	of	ADP
esrj-119576	355	12	selected	select	VERB
esrj-119576	355	13	cities	city	NOUN
esrj-119576	355	14	in	in	ADP
esrj-119576	355	15	nigeria	nigeria	PROPN
esrj-119576	355	16	.	.	PUNCT
esrj-119576	356	1	new	new	PROPN
esrj-119576	356	2	york	york	PROPN
esrj-119576	356	3	science	science	PROPN
esrj-119576	356	4	journal	journal	PROPN
esrj-119576	356	5	,	,	PUNCT
esrj-119576	356	6	2	2	NUM
esrj-119576	356	7	,	,	PUNCT
esrj-119576	356	8	1–12	1–12	NOUN
esrj-119576	356	9	.	.	PUNCT
esrj-119576	357	1	ozonur	ozonur	PROPN
esrj-119576	357	2	,	,	PUNCT
esrj-119576	357	3	d.	d.	PROPN
esrj-119576	357	4	,	,	PUNCT
esrj-119576	357	5	pobocikova	pobocikova	PROPN
esrj-119576	357	6	,	,	PUNCT
esrj-119576	357	7	i.	i.	PROPN
esrj-119576	357	8	,	,	PUNCT
esrj-119576	357	9	&	&	CCONJ
esrj-119576	357	10	souza	souza	PROPN
esrj-119576	357	11	,	,	PUNCT
esrj-119576	357	12	a.	a.	NOUN
esrj-119576	357	13	(	(	PUNCT
esrj-119576	357	14	2021	2021	NUM
esrj-119576	357	15	)	)	PUNCT
esrj-119576	357	16	.	.	PUNCT
esrj-119576	358	1	statistical	statistical	ADJ
esrj-119576	358	2	analysis	analysis	NOUN
esrj-119576	358	3	of	of	ADP
esrj-119576	358	4	monthly	monthly	ADJ
esrj-119576	358	5	rainfall	rainfall	NOUN
esrj-119576	358	6	in	in	ADP
esrj-119576	358	7	central	central	ADJ
esrj-119576	358	8	west	west	PROPN
esrj-119576	358	9	brazil	brazil	PROPN
esrj-119576	358	10	using	use	VERB
esrj-119576	358	11	probability	probability	NOUN
esrj-119576	358	12	distributions	distribution	NOUN
esrj-119576	358	13	.	.	PUNCT
esrj-119576	359	1	modeling	model	VERB
esrj-119576	359	2	earth	earth	NOUN
esrj-119576	359	3	systems	system	NOUN
esrj-119576	359	4	and	and	CCONJ
esrj-119576	359	5	environment	environment	NOUN
esrj-119576	359	6	,	,	PUNCT
esrj-119576	359	7	7	7	NUM
esrj-119576	359	8	,	,	PUNCT
esrj-119576	359	9	1979	1979	NUM
esrj-119576	359	10	-	-	SYM
esrj-119576	359	11	1989	1989	NUM
esrj-119576	359	12	.	.	PUNCT
esrj-119576	360	1	https://doi.org/10.1007/	https://doi.org/10.1007/	PROPN
esrj-119576	360	2	s40808	s40808	PROPN
esrj-119576	360	3	-	-	PUNCT
esrj-119576	360	4	020	020	NUM
esrj-119576	360	5	-	-	PUNCT
esrj-119576	360	6	00954	00954	NUM
esrj-119576	360	7	-	-	PUNCT
esrj-119576	360	8	z	z	NOUN
esrj-119576	360	9	pearson	pearson	PROPN
esrj-119576	360	10	,	,	PUNCT
esrj-119576	360	11	k.	k.	PROPN
esrj-119576	360	12	(	(	PUNCT
esrj-119576	360	13	1895	1895	NUM
esrj-119576	360	14	)	)	PUNCT
esrj-119576	360	15	.	.	PUNCT
esrj-119576	361	1	continuous	continuous	ADJ
esrj-119576	361	2	to	to	ADP
esrj-119576	361	3	the	the	DET
esrj-119576	361	4	mathematical	mathematical	ADJ
esrj-119576	361	5	theory	theory	NOUN
esrj-119576	361	6	of	of	ADP
esrj-119576	361	7	evolution	evolution	NOUN
esrj-119576	361	8	,	,	PUNCT
esrj-119576	361	9	ii	ii	PROPN
esrj-119576	361	10	:	:	PUNCT
esrj-119576	361	11	skew	skew	ADJ
esrj-119576	361	12	variation	variation	NOUN
esrj-119576	361	13	in	in	ADP
esrj-119576	361	14	homogeneous	homogeneous	ADJ
esrj-119576	361	15	materials	material	NOUN
esrj-119576	361	16	.	.	PUNCT
esrj-119576	362	1	philosophical	philosophical	ADJ
esrj-119576	362	2	transactions	transaction	NOUN
esrj-119576	362	3	of	of	ADP
esrj-119576	362	4	the	the	DET
esrj-119576	362	5	royal	royal	ADJ
esrj-119576	362	6	society	society	NOUN
esrj-119576	362	7	,	,	PUNCT
esrj-119576	362	8	london	london	PROPN
esrj-119576	362	9	,	,	PUNCT
esrj-119576	362	10	186	186	NUM
esrj-119576	362	11	,	,	PUNCT
esrj-119576	362	12	343	343	NUM
esrj-119576	362	13	-	-	SYM
esrj-119576	362	14	414	414	NUM
esrj-119576	362	15	.	.	PUNCT
esrj-119576	363	1	phien	phien	PROPN
esrj-119576	363	2	,	,	PUNCT
esrj-119576	363	3	h.	h.	PROPN
esrj-119576	363	4	n.	n.	PROPN
esrj-119576	363	5	,	,	PUNCT
esrj-119576	363	6	&	&	CCONJ
esrj-119576	363	7	jivajirajah	jivajirajah	PROPN
esrj-119576	363	8	,	,	PUNCT
esrj-119576	363	9	t.	t.	PROPN
esrj-119576	363	10	(	(	PUNCT
esrj-119576	363	11	1984	1984	NUM
esrj-119576	363	12	)	)	PUNCT
esrj-119576	363	13	.	.	PUNCT
esrj-119576	364	1	applications	application	NOUN
esrj-119576	364	2	of	of	ADP
esrj-119576	364	3	the	the	DET
esrj-119576	364	4	log	log	NOUN
esrj-119576	364	5	pearson	pearson	NOUN
esrj-119576	364	6	type-3	type-3	NUM
esrj-119576	364	7	distribution	distribution	NOUN
esrj-119576	364	8	in	in	ADP
esrj-119576	364	9	hydrology	hydrology	NOUN
esrj-119576	364	10	.	.	PUNCT
esrj-119576	365	1	journal	journal	NOUN
esrj-119576	365	2	of	of	ADP
esrj-119576	365	3	hydrology	hydrology	NOUN
esrj-119576	365	4	,	,	PUNCT
esrj-119576	365	5	73(3	73(3	NUM
esrj-119576	365	6	)	)	PUNCT
esrj-119576	365	7	,	,	PUNCT
esrj-119576	365	8	359–372	359–372	NUM
esrj-119576	365	9	.	.	PUNCT
esrj-119576	365	10	sarker	sarker	PROPN
esrj-119576	365	11	,	,	PUNCT
esrj-119576	365	12	r.	r.	PROPN
esrj-119576	365	13	p.	p.	PROPN
esrj-119576	365	14	,	,	PUNCT
esrj-119576	365	15	biswas	biswas	PROPN
esrj-119576	365	16	,	,	PUNCT
esrj-119576	365	17	b.	b.	PROPN
esrj-119576	365	18	c.	c.	PROPN
esrj-119576	365	19	,	,	PUNCT
esrj-119576	365	20	&	&	CCONJ
esrj-119576	365	21	khambete	khambete	PROPN
esrj-119576	365	22	,	,	PUNCT
esrj-119576	365	23	n.	n.	PROPN
esrj-119576	365	24	n.	n.	PROPN
esrj-119576	365	25	(	(	PUNCT
esrj-119576	365	26	1982	1982	NUM
esrj-119576	365	27	)	)	PUNCT
esrj-119576	365	28	.	.	PUNCT
esrj-119576	366	1	probability	probability	NOUN
esrj-119576	366	2	analysis	analysis	NOUN
esrj-119576	366	3	of	of	ADP
esrj-119576	366	4	short	short	ADJ
esrj-119576	366	5	period	period	NOUN
esrj-119576	366	6	rainfall	rainfall	NOUN
esrj-119576	366	7	in	in	ADP
esrj-119576	366	8	dry	dry	ADJ
esrj-119576	366	9	farming	farming	NOUN
esrj-119576	366	10	tract	tract	NOUN
esrj-119576	366	11	in	in	ADP
esrj-119576	366	12	india	india	PROPN
esrj-119576	366	13	.	.	PUNCT
esrj-119576	367	1	mausam	mausam	PROPN
esrj-119576	367	2	journal	journal	PROPN
esrj-119576	367	3	,	,	PUNCT
esrj-119576	367	4	33(3	33(3	NOUN
esrj-119576	367	5	)	)	PUNCT
esrj-119576	367	6	,	,	PUNCT
esrj-119576	367	7	269	269	NUM
esrj-119576	367	8	-	-	SYM
esrj-119576	367	9	284	284	NUM
esrj-119576	367	10	.	.	PUNCT
esrj-119576	368	1	schellander	schellander	NOUN
esrj-119576	368	2	,	,	PUNCT
esrj-119576	368	3	h.	h.	PROPN
esrj-119576	368	4	,	,	PUNCT
esrj-119576	368	5	lieb	lieb	PROPN
esrj-119576	368	6	,	,	PUNCT
esrj-119576	368	7	a.	a.	NOUN
esrj-119576	368	8	,	,	PUNCT
esrj-119576	368	9	&	&	CCONJ
esrj-119576	368	10	hell	hell	PROPN
esrj-119576	368	11	,	,	PUNCT
esrj-119576	368	12	t.	t.	PROPN
esrj-119576	368	13	(	(	PUNCT
esrj-119576	368	14	2019	2019	NUM
esrj-119576	368	15	)	)	PUNCT
esrj-119576	368	16	.	.	PUNCT
esrj-119576	369	1	error	error	NOUN
esrj-119576	369	2	structure	structure	NOUN
esrj-119576	369	3	of	of	ADP
esrj-119576	369	4	metastatistical	metastatistical	ADJ
esrj-119576	369	5	and	and	CCONJ
esrj-119576	369	6	generalized	generalized	ADJ
esrj-119576	369	7	extreme	extreme	ADJ
esrj-119576	369	8	value	value	NOUN
esrj-119576	369	9	distributions	distribution	NOUN
esrj-119576	369	10	for	for	ADP
esrj-119576	369	11	modeling	model	VERB
esrj-119576	369	12	extreme	extreme	ADJ
esrj-119576	369	13	rainfall	rainfall	NOUN
esrj-119576	369	14	in	in	ADP
esrj-119576	369	15	austria	austria	PROPN
esrj-119576	369	16	.	.	PUNCT
esrj-119576	370	1	earth	earth	NOUN
esrj-119576	370	2	and	and	CCONJ
esrj-119576	370	3	space	space	NOUN
esrj-119576	370	4	science	science	NOUN
esrj-119576	370	5	,	,	PUNCT
esrj-119576	370	6	6(9	6(9	NUM
esrj-119576	370	7	)	)	PUNCT
esrj-119576	370	8	,	,	PUNCT
esrj-119576	370	9	1616	1616	NUM
esrj-119576	370	10	-	-	SYM
esrj-119576	370	11	1632	1632	NUM
esrj-119576	370	12	.	.	PUNCT
esrj-119576	371	1	https://doi	https://doi	PROPN
esrj-119576	371	2	.	.	PUNCT
esrj-119576	371	3	org/10.1029/2019ea000557	org/10.1029/2019ea000557	PROPN
esrj-119576	371	4	schwarz	schwarz	PROPN
esrj-119576	371	5	,	,	PUNCT
esrj-119576	371	6	g.	g.	PROPN
esrj-119576	371	7	(	(	PUNCT
esrj-119576	371	8	1978	1978	NUM
esrj-119576	371	9	)	)	PUNCT
esrj-119576	371	10	.	.	PUNCT
esrj-119576	372	1	estimating	estimate	VERB
esrj-119576	372	2	the	the	DET
esrj-119576	372	3	dimension	dimension	NOUN
esrj-119576	372	4	of	of	ADP
esrj-119576	372	5	a	a	DET
esrj-119576	372	6	model	model	NOUN
esrj-119576	372	7	.	.	PUNCT
esrj-119576	373	1	annals	annal	NOUN
esrj-119576	373	2	of	of	ADP
esrj-119576	373	3	statistics	statistic	NOUN
esrj-119576	373	4	,	,	PUNCT
esrj-119576	373	5	6	6	NUM
esrj-119576	373	6	,	,	PUNCT
esrj-119576	373	7	461	461	NUM
esrj-119576	373	8	-	-	SYM
esrj-119576	373	9	464	464	NUM
esrj-119576	373	10	  	  	SPACE
esrj-119576	373	11	sharma	sharma	PROPN
esrj-119576	373	12	ma	ma	PROPN
esrj-119576	373	13	,	,	PUNCT
esrj-119576	373	14	&	&	CCONJ
esrj-119576	373	15	singh	singh	PROPN
esrj-119576	373	16	jb	jb	PROPN
esrj-119576	373	17	(	(	PUNCT
esrj-119576	373	18	2010	2010	NUM
esrj-119576	373	19	)	)	PUNCT
esrj-119576	373	20	.	.	PUNCT
esrj-119576	374	1	use	use	NOUN
esrj-119576	374	2	of	of	ADP
esrj-119576	374	3	probability	probability	NOUN
esrj-119576	374	4	distribution	distribution	NOUN
esrj-119576	374	5	in	in	ADP
esrj-119576	374	6	rainfall	rainfall	NOUN
esrj-119576	374	7	analysis	analysis	NOUN
esrj-119576	374	8	.	.	PUNCT
esrj-119576	375	1	new	new	PROPN
esrj-119576	375	2	york	york	PROPN
esrj-119576	375	3	science	science	PROPN
esrj-119576	375	4	journal	journal	PROPN
esrj-119576	375	5	,	,	PUNCT
esrj-119576	375	6	3(9	3(9	NUM
esrj-119576	375	7	)	)	PUNCT
esrj-119576	375	8	shaharudin	shaharudin	NOUN
esrj-119576	375	9	,	,	PUNCT
esrj-119576	375	10	s.	s.	PROPN
esrj-119576	375	11	m.	m.	PROPN
esrj-119576	375	12	,	,	PUNCT
esrj-119576	375	13	ahmad	ahmad	PROPN
esrj-119576	375	14	,	,	PUNCT
esrj-119576	375	15	n.	n.	PROPN
esrj-119576	375	16	,	,	PUNCT
esrj-119576	375	17	mohamed	mohamed	PROPN
esrj-119576	375	18	,	,	PUNCT
esrj-119576	375	19	n.	n.	PROPN
esrj-119576	375	20	s.	s.	PROPN
esrj-119576	375	21	,	,	PUNCT
esrj-119576	375	22	&	&	CCONJ
esrj-119576	375	23	mahdin	mahdin	PROPN
esrj-119576	375	24	,	,	PUNCT
esrj-119576	375	25	h.	h.	PROPN
esrj-119576	375	26	(	(	PUNCT
esrj-119576	375	27	2020	2020	NUM
esrj-119576	375	28	)	)	PUNCT
esrj-119576	375	29	.	.	PUNCT
esrj-119576	376	1	fitting	fitting	ADJ
esrj-119576	376	2	statistical	statistical	ADJ
esrj-119576	376	3	distribution	distribution	NOUN
esrj-119576	376	4	of	of	ADP
esrj-119576	376	5	extreme	extreme	ADJ
esrj-119576	376	6	rainfall	rainfall	NOUN
esrj-119576	376	7	data	datum	NOUN
esrj-119576	376	8	for	for	ADP
esrj-119576	376	9	the	the	DET
esrj-119576	376	10	purpose	purpose	NOUN
esrj-119576	376	11	of	of	ADP
esrj-119576	376	12	simulation	simulation	NOUN
esrj-119576	376	13	.	.	PUNCT
esrj-119576	377	1	indonesian	indonesian	ADJ
esrj-119576	377	2	journal	journal	PROPN
esrj-119576	377	3	of	of	ADP
esrj-119576	377	4	electrical	electrical	ADJ
esrj-119576	377	5	engineering	engineering	NOUN
esrj-119576	377	6	and	and	CCONJ
esrj-119576	377	7	computer	computer	NOUN
esrj-119576	377	8	science	science	NOUN
esrj-119576	377	9	,	,	PUNCT
esrj-119576	377	10	18(3	18(3	NUM
esrj-119576	377	11	)	)	PUNCT
esrj-119576	377	12	,	,	PUNCT
esrj-119576	377	13	13671374	13671374	NUM
esrj-119576	377	14	.	.	PUNCT
esrj-119576	378	1	http://doi.org/10.11591/ijeecs.v18.i3.pp1367-1374	http://doi.org/10.11591/ijeecs.v18.i3.pp1367-1374	PROPN
esrj-119576	378	2	swift	swift	PROPN
esrj-119576	378	3	,	,	PUNCT
esrj-119576	378	4	l.	l.	PROPN
esrj-119576	378	5	w.	w.	PROPN
esrj-119576	378	6	,	,	PUNCT
esrj-119576	378	7	&	&	CCONJ
esrj-119576	378	8	schreuder	schreuder	PROPN
esrj-119576	378	9	,	,	PUNCT
esrj-119576	378	10	h.	h.	PROPN
esrj-119576	378	11	t.	t.	PROPN
esrj-119576	378	12	(	(	PUNCT
esrj-119576	378	13	1981	1981	NUM
esrj-119576	378	14	)	)	PUNCT
esrj-119576	378	15	.	.	PUNCT
esrj-119576	379	1	fitting	fit	VERB
esrj-119576	379	2	daily	daily	ADJ
esrj-119576	379	3	precipitation	precipitation	NOUN
esrj-119576	379	4	amounts	amount	NOUN
esrj-119576	379	5	using	use	VERB
esrj-119576	379	6	the	the	DET
esrj-119576	379	7	sb	sb	NOUN
esrj-119576	379	8	distribution	distribution	NOUN
esrj-119576	379	9	.	.	PUNCT
esrj-119576	380	1	monthly	monthly	ADJ
esrj-119576	380	2	weather	weather	NOUN
esrj-119576	380	3	review	review	NOUN
esrj-119576	380	4	,	,	PUNCT
esrj-119576	380	5	109(12	109(12	NUM
esrj-119576	380	6	)	)	PUNCT
esrj-119576	380	7	,	,	PUNCT
esrj-119576	380	8	2535–2540	2535–2540	NUM
esrj-119576	380	9	.	.	PUNCT
esrj-119576	381	1	thom	thom	PROPN
esrj-119576	381	2	,	,	PUNCT
esrj-119576	381	3	h.	h.	PROPN
esrj-119576	381	4	c.	c.	PROPN
esrj-119576	381	5	s.	s.	PROPN
esrj-119576	381	6	(	(	PUNCT
esrj-119576	381	7	1958	1958	NUM
esrj-119576	381	8	)	)	PUNCT
esrj-119576	381	9	.	.	PUNCT
esrj-119576	382	1	a	a	DET
esrj-119576	382	2	note	note	NOUN
esrj-119576	382	3	on	on	ADP
esrj-119576	382	4	the	the	DET
esrj-119576	382	5	gamma	gamma	NOUN
esrj-119576	382	6	distribution	distribution	NOUN
esrj-119576	382	7	.	.	PUNCT
esrj-119576	383	1	monthly	monthly	ADJ
esrj-119576	383	2	weather	weather	NOUN
esrj-119576	383	3	review	review	NOUN
esrj-119576	383	4	,	,	PUNCT
esrj-119576	383	5	86(4	86(4	NUM
esrj-119576	383	6	)	)	PUNCT
esrj-119576	383	7	,	,	PUNCT
esrj-119576	383	8	117–122	117–122	NUM
esrj-119576	383	9	.	.	PUNCT
esrj-119576	384	1	weibull	weibull	PROPN
esrj-119576	384	2	,	,	PUNCT
esrj-119576	384	3	w.	w.	PROPN
esrj-119576	384	4	(	(	PUNCT
esrj-119576	384	5	1939	1939	NUM
esrj-119576	384	6	)	)	PUNCT
esrj-119576	384	7	.	.	PUNCT
esrj-119576	385	1	a	a	DET
esrj-119576	385	2	statistical	statistical	ADJ
esrj-119576	385	3	theory	theory	NOUN
esrj-119576	385	4	of	of	ADP
esrj-119576	385	5	the	the	DET
esrj-119576	385	6	strength	strength	NOUN
esrj-119576	385	7	of	of	ADP
esrj-119576	385	8	materials	material	NOUN
esrj-119576	385	9	.	.	PUNCT
esrj-119576	386	1	ingeniors	ingenior	NOUN
esrj-119576	386	2	ventenskaps	ventenskap	VERB
esrj-119576	386	3	akademiens	akademien	NOUN
esrj-119576	386	4	handlingar	handlingar	NOUN
esrj-119576	386	5	,	,	PUNCT
esrj-119576	386	6	royal	royal	PROPN
esrj-119576	386	7	swedish	swedish	PROPN
esrj-119576	386	8	institute	institute	PROPN
esrj-119576	386	9	for	for	ADP
esrj-119576	386	10	engineering	engineering	NOUN
esrj-119576	386	11	research	research	NOUN
esrj-119576	386	12	,	,	PUNCT
esrj-119576	386	13	stockholm	stockholm	PROPN
esrj-119576	386	14	sweden	sweden	PROPN
esrj-119576	386	15	,	,	PUNCT
esrj-119576	386	16	151	151	NUM
esrj-119576	386	17	https://doi.org/10.1007/s13201-017-0586-5	https://doi.org/10.1007/s13201-017-0586-5	NUM
esrj-119576	386	18	https://doi.org/10.1007/s13201-017-0586-5	https://doi.org/10.1007/s13201-017-0586-5	NUM
esrj-119576	386	19	https://doi.org/10.1007/s11069-016-2687-0	https://doi.org/10.1007/s11069-016-2687-0	NUM
esrj-119576	387	1	https://doi.org/10.1007/s00704-014-1212-1	https://doi.org/10.1007/s00704-014-1212-1	PROPN
esrj-119576	388	1	https://doi.org/10.1007/s00704-014-1212-1	https://doi.org/10.1007/s00704-014-1212-1	NUM
esrj-119576	389	1	https://doi.org/10.1016/j.ejrh.2020.100771	https://doi.org/10.1016/j.ejrh.2020.100771	ADJ
esrj-119576	389	2	https://doi.org/10.1007/s40808-022-01363-0	https://doi.org/10.1007/s40808-022-01363-0	ADJ
esrj-119576	389	3	https://doi.org/10.1007/s40808-020-00954-z	https://doi.org/10.1007/s40808-020-00954-z	PROPN
esrj-119576	389	4	https://doi.org/10.1007/s40808-020-00954-z	https://doi.org/10.1007/s40808-020-00954-z	PROPN
esrj-119576	389	5	https://doi.org/10.1029/2019ea000557	https://doi.org/10.1029/2019ea000557	PROPN
esrj-119576	389	6	https://doi.org/10.1029/2019ea000557	https://doi.org/10.1029/2019ea000557	ADP
esrj-119576	389	7	http://doi.org/10.11591/ijeecs.v18.i3.pp1367-1374	http://doi.org/10.11591/ijeecs.v18.i3.pp1367-1374	PROPN
esrj-119576	389	8	376	376	NUM
esrj-119576	389	9	tanusree	tanusree	PROPN
esrj-119576	389	10	deb	deb	PROPN
esrj-119576	389	11	roy	roy	PROPN
esrj-119576	389	12	,	,	PUNCT
esrj-119576	389	13	dipanjali	dipanjali	PROPN
esrj-119576	389	14	ray	ray	PROPN
esrj-119576	389	15	,	,	PUNCT
esrj-119576	389	16	subhankar	subhankar	PROPN
esrj-119576	389	17	dutta	dutta	PROPN
esrj-119576	389	18	,	,	PUNCT
esrj-119576	389	19	and	and	CCONJ
esrj-119576	389	20	sebul	sebul	PROPN
esrj-119576	389	21	islam	islam	PROPN
esrj-119576	389	22	laskar	laskar	PROPN
esrj-119576	389	23	appendix	appendix	VERB
esrj-119576	389	24	a	a	DET
esrj-119576	389	25	:	:	PUNCT
esrj-119576	389	26	parameter	parameter	NOUN
esrj-119576	389	27	estimates	estimate	NOUN
esrj-119576	389	28	of	of	ADP
esrj-119576	389	29	guwahati	guwahati	NOUN
esrj-119576	389	30	station	station	NOUN
esrj-119576	389	31	table	table	NOUN
esrj-119576	389	32	a.	a.	NOUN
esrj-119576	389	33	estimates	estimate	NOUN
esrj-119576	389	34	of	of	ADP
esrj-119576	389	35	probability	probability	NOUN
esrj-119576	389	36	distribution	distribution	NOUN
esrj-119576	389	37	fitting	fitting	ADJ
esrj-119576	389	38	of	of	ADP
esrj-119576	389	39	total	total	ADJ
esrj-119576	389	40	monthly	monthly	ADJ
esrj-119576	389	41	rainfall	rainfall	NOUN
esrj-119576	389	42	in	in	ADP
esrj-119576	389	43	guwahati	guwahati	NOUN
esrj-119576	389	44	station	station	NOUN
esrj-119576	389	45	for	for	ADP
esrj-119576	389	46	remaining	remain	VERB
esrj-119576	389	47	months	month	NOUN
esrj-119576	389	48	months	month	NOUN
esrj-119576	389	49	distribution	distribution	NOUN
esrj-119576	389	50	shape1	shape1	NOUN
esrj-119576	389	51	shape2	shape2	PROPN
esrj-119576	389	52	location	location	NOUN
esrj-119576	389	53	scale	scale	NOUN
esrj-119576	389	54	april	april	PROPN
esrj-119576	389	55	pearson	pearson	PROPN
esrj-119576	389	56	i	i	PRON
esrj-119576	389	57	0.7542	0.7542	NUM
esrj-119576	389	58	2.1747	2.1747	NUM
esrj-119576	389	59	24.0000	24.0000	NUM
esrj-119576	389	60	522.8001	522.8001	NUM
esrj-119576	389	61	may	may	AUX
esrj-119576	389	62	pearson	pearson	VERB
esrj-119576	389	63	i	i	PRON
esrj-119576	389	64	0.9553	0.9553	NUM
esrj-119576	389	65	3.1823	3.1823	NUM
esrj-119576	389	66	88.5000	88.5000	NUM
esrj-119576	389	67	642.4579	642.4579	NUM
esrj-119576	389	68	june	june	PROPN
esrj-119576	389	69	pearson	pearson	PROPN
esrj-119576	389	70	i	i	PRON
esrj-119576	389	71	1.2658	1.2658	NUM
esrj-119576	390	1	1.8853	1.8853	NUM
esrj-119576	390	2	100.8439	100.8439	NUM
esrj-119576	390	3	496.6607	496.6607	NUM
esrj-119576	390	4	july	july	PROPN
esrj-119576	390	5	log	log	NOUN
esrj-119576	390	6	-	-	PUNCT
esrj-119576	390	7	normal	normal	ADJ
esrj-119576	390	8	5.6387	5.6387	NUM
esrj-119576	390	9	0.3776	0.3776	NUM
esrj-119576	390	10	august	august	PROPN
esrj-119576	390	11	weibull	weibull	PROPN
esrj-119576	390	12	2.3195	2.3195	NUM
esrj-119576	390	13	270.3478	270.3478	NUM
esrj-119576	390	14	september	september	PROPN
esrj-119576	390	15	weibull	weibull	NOUN
esrj-119576	390	16	2.3941	2.3941	NUM
esrj-119576	390	17	214.9069	214.9069	NUM
esrj-119576	390	18	october	october	PROPN
esrj-119576	390	19	weibull	weibull	NOUN
esrj-119576	390	20	1.3993	1.3993	NUM
esrj-119576	390	21	126.3508	126.3508	NUM
esrj-119576	390	22	november	november	PROPN
esrj-119576	390	23	gamma	gamma	NOUN
esrj-119576	390	24	0.2627	0.2627	NUM
esrj-119576	390	25	0.022	0.022	NUM
esrj-119576	390	26	december	december	PROPN
esrj-119576	390	27	table	table	NOUN
esrj-119576	390	28	b.	b.	PROPN
esrj-119576	390	29	estimates	estimate	NOUN
esrj-119576	390	30	of	of	ADP
esrj-119576	390	31	probability	probability	NOUN
esrj-119576	390	32	distribution	distribution	NOUN
esrj-119576	390	33	fitting	fitting	ADJ
esrj-119576	390	34	of	of	ADP
esrj-119576	390	35	total	total	ADJ
esrj-119576	390	36	monthly	monthly	ADJ
esrj-119576	390	37	rainfall	rainfall	NOUN
esrj-119576	390	38	in	in	ADP
esrj-119576	390	39	guwahati	guwahati	NOUN
esrj-119576	390	40	station	station	NOUN
esrj-119576	390	41	for	for	ADP
esrj-119576	390	42	winter	winter	NOUN
esrj-119576	390	43	,	,	PUNCT
esrj-119576	390	44	pre	pre	NOUN
esrj-119576	390	45	-	-	NOUN
esrj-119576	390	46	monsoon	monsoon	ADJ
esrj-119576	390	47	,	,	PUNCT
esrj-119576	390	48	monsoon	monsoon	NOUN
esrj-119576	390	49	and	and	CCONJ
esrj-119576	390	50	post	post	ADJ
esrj-119576	390	51	-	-	ADJ
esrj-119576	390	52	monsoon	monsoon	ADJ
esrj-119576	390	53	season	season	NOUN
esrj-119576	390	54	months	month	NOUN
esrj-119576	390	55	distribution	distribution	NOUN
esrj-119576	390	56	shape1	shape1	NOUN
esrj-119576	390	57	shape2	shape2	PROPN
esrj-119576	390	58	location	location	NOUN
esrj-119576	390	59	scale	scale	NOUN
esrj-119576	390	60	winter	winter	NOUN
esrj-119576	390	61	gamma	gamma	NOUN
esrj-119576	390	62	0.3085	0.3085	NUM
esrj-119576	390	63	0.0197	0.0197	NUM
esrj-119576	390	64	logistic	logistic	ADJ
esrj-119576	390	65	12.9754	12.9754	NUM
esrj-119576	390	66	8.8017	8.8017	NUM
esrj-119576	390	67	exponential	exponential	NOUN
esrj-119576	390	68	0.0640	0.0640	NUM
esrj-119576	390	69	gumbel	gumbel	PROPN
esrj-119576	390	70	8.4552	8.4552	NUM
esrj-119576	390	71	10.9346	10.9346	NUM
esrj-119576	390	72	weibull	weibull	PROPN
esrj-119576	390	73	0.4250	0.4250	NUM
esrj-119576	390	74	9.4203	9.4203	NUM
esrj-119576	390	75	log	log	NOUN
esrj-119576	390	76	-	-	PUNCT
esrj-119576	390	77	normal	normal	ADJ
esrj-119576	390	78	0.5238	0.5238	NUM
esrj-119576	390	79	4.3783	4.3783	NUM
esrj-119576	390	80	pearson	pearson	NOUN
esrj-119576	390	81	0	0	NUM
esrj-119576	390	82	15.6144	15.6144	NUM
esrj-119576	390	83	17.8897	17.8897	NUM
esrj-119576	390	84	pearson	pearson	NOUN
esrj-119576	390	85	i	i	PRON
esrj-119576	390	86	0.5949	0.5949	NUM
esrj-119576	390	87	10.2068	10.2068	NUM
esrj-119576	390	88	0.0001	0.0001	NUM
esrj-119576	390	89	266.7931	266.7931	NUM
esrj-119576	390	90	pearson	pearson	PROPN
esrj-119576	390	91	iii	iii	NUM
esrj-119576	390	92	0.7298	0.7298	NUM
esrj-119576	390	93	0.0001	0.0001	NUM
esrj-119576	390	94	17.0653	17.0653	NUM
esrj-119576	390	95	pearson	pearson	NOUN
esrj-119576	390	96	v	v	ADP
esrj-119576	390	97	1.5629	1.5629	NUM
esrj-119576	390	98	-3.9785	-3.9785	NOUN
esrj-119576	390	99	14.8985	14.8985	NUM
esrj-119576	390	100	pre	pre	ADJ
esrj-119576	390	101	-	-	ADJ
esrj-119576	390	102	mon	mon	ADJ
esrj-119576	390	103	pearson	pearson	NOUN
esrj-119576	390	104	i	i	PRON
esrj-119576	390	105	0.9917	0.9917	NUM
esrj-119576	390	106	4.8964	4.8964	NUM
esrj-119576	390	107	3.8000	3.8000	NUM
esrj-119576	390	108	911.8026	911.8026	NUM
esrj-119576	390	109	mon	mon	PROPN
esrj-119576	390	110	pearson	pearson	NOUN
esrj-119576	390	111	i	i	PRON
esrj-119576	390	112	3.4559	3.4559	NUM
esrj-119576	390	113	11.5491	11.5491	NUM
esrj-119576	390	114	1.8968	1.8968	NUM
esrj-119576	390	115	1113.133	1113.133	NUM
esrj-119576	390	116	post	post	NOUN
esrj-119576	390	117	-	-	NOUN
esrj-119576	390	118	mon	mon	NOUN
esrj-119576	390	119	in	in	ADP
esrj-119576	390	120	table	table	NOUN
esrj-119576	390	121	a	a	PRON
esrj-119576	390	122	,	,	PUNCT
esrj-119576	390	123	the	the	DET
esrj-119576	390	124	parameters	parameter	NOUN
esrj-119576	390	125	for	for	ADP
esrj-119576	390	126	april	april	PROPN
esrj-119576	390	127	to	to	ADP
esrj-119576	390	128	december	december	PROPN
esrj-119576	390	129	at	at	ADP
esrj-119576	390	130	the	the	DET
esrj-119576	390	131	guwahati	guwahati	NOUN
esrj-119576	390	132	station	station	NOUN
esrj-119576	390	133	are	be	AUX
esrj-119576	390	134	listed	list	VERB
esrj-119576	390	135	.	.	PUNCT
esrj-119576	391	1	similarly	similarly	ADV
esrj-119576	391	2	,	,	PUNCT
esrj-119576	391	3	in	in	ADP
esrj-119576	391	4	table	table	NOUN
esrj-119576	391	5	b	b	NOUN
esrj-119576	391	6	,	,	PUNCT
esrj-119576	391	7	each	each	DET
esrj-119576	391	8	parameter	parameter	NOUN
esrj-119576	391	9	for	for	ADP
esrj-119576	391	10	each	each	DET
esrj-119576	391	11	season	season	NOUN
esrj-119576	391	12	i.e.	i.e.	X
esrj-119576	391	13	winter	winter	NOUN
esrj-119576	391	14	(	(	PUNCT
esrj-119576	391	15	january	january	PROPN
esrj-119576	391	16	,	,	PUNCT
esrj-119576	391	17	february	february	PROPN
esrj-119576	391	18	)	)	PUNCT
esrj-119576	391	19	,	,	PUNCT
esrj-119576	391	20	pre	pre	ADJ
esrj-119576	391	21	-	-	NOUN
esrj-119576	391	22	monsoon	monsoon	ADJ
esrj-119576	391	23	(	(	PUNCT
esrj-119576	391	24	march	march	PROPN
esrj-119576	391	25	,	,	PUNCT
esrj-119576	391	26	april	april	PROPN
esrj-119576	391	27	,	,	PUNCT
esrj-119576	391	28	may	may	AUX
esrj-119576	391	29	)	)	PUNCT
esrj-119576	391	30	and	and	CCONJ
esrj-119576	391	31	monsoon	monsoon	NOUN
esrj-119576	391	32	(	(	PUNCT
esrj-119576	391	33	june	june	PROPN
esrj-119576	391	34	,	,	PUNCT
esrj-119576	391	35	july	july	PROPN
esrj-119576	391	36	,	,	PUNCT
esrj-119576	391	37	august	august	PROPN
esrj-119576	391	38	,	,	PUNCT
esrj-119576	391	39	september	september	PROPN
esrj-119576	391	40	)	)	PUNCT
esrj-119576	391	41	are	be	AUX
esrj-119576	391	42	mentioned	mention	VERB
esrj-119576	391	43	except	except	SCONJ
esrj-119576	391	44	post	post	ADJ
esrj-119576	391	45	-	-	ADJ
esrj-119576	391	46	monsoon	monsoon	ADJ
esrj-119576	391	47	season	season	NOUN
esrj-119576	391	48	(	(	PUNCT
esrj-119576	391	49	october	october	PROPN
esrj-119576	391	50	,	,	PUNCT
esrj-119576	391	51	november	november	PROPN
esrj-119576	391	52	and	and	CCONJ
esrj-119576	391	53	december	december	PROPN
esrj-119576	391	54	)	)	PUNCT
esrj-119576	391	55	,	,	PUNCT
esrj-119576	391	56	since	since	SCONJ
esrj-119576	391	57	post	post	ADJ
esrj-119576	391	58	-	-	ADJ
esrj-119576	391	59	monsoon	monsoon	ADJ
esrj-119576	391	60	season	season	NOUN
esrj-119576	391	61	does	do	AUX
esrj-119576	391	62	not	not	PART
esrj-119576	391	63	follow	follow	VERB
esrj-119576	391	64	any	any	DET
esrj-119576	391	65	one	one	NUM
esrj-119576	391	66	of	of	ADP
esrj-119576	391	67	the	the	DET
esrj-119576	391	68	10	10	NUM
esrj-119576	391	69	selected	select	VERB
esrj-119576	391	70	distributions	distribution	NOUN
esrj-119576	391	71	with	with	ADP
esrj-119576	391	72	the	the	DET
esrj-119576	391	73	rainfall	rainfall	NOUN
esrj-119576	391	74	data	datum	NOUN
esrj-119576	391	75	in	in	ADP
esrj-119576	391	76	guwahati	guwahati	PROPN
esrj-119576	391	77	station	station	NOUN
esrj-119576	391	78	.	.	PUNCT
esrj-119576	392	1	for	for	ADP
esrj-119576	392	2	the	the	DET
esrj-119576	392	3	winter	winter	NOUN
esrj-119576	392	4	season	season	NOUN
esrj-119576	392	5	,	,	PUNCT
esrj-119576	392	6	parameter	parameter	NOUN
esrj-119576	392	7	estimates	estimate	NOUN
esrj-119576	392	8	are	be	AUX
esrj-119576	392	9	presented	present	VERB
esrj-119576	392	10	for	for	ADP
esrj-119576	392	11	all	all	DET
esrj-119576	392	12	ten	ten	NUM
esrj-119576	392	13	selected	select	VERB
esrj-119576	392	14	distributions	distribution	NOUN
esrj-119576	392	15	,	,	PUNCT
esrj-119576	392	16	whereas	whereas	SCONJ
esrj-119576	392	17	for	for	ADP
esrj-119576	392	18	the	the	DET
esrj-119576	392	19	other	other	ADJ
esrj-119576	392	20	seasons	season	NOUN
esrj-119576	392	21	,	,	PUNCT
esrj-119576	392	22	only	only	ADV
esrj-119576	392	23	the	the	DET
esrj-119576	392	24	parameters	parameter	NOUN
esrj-119576	392	25	of	of	ADP
esrj-119576	392	26	the	the	DET
esrj-119576	392	27	bestfitted	bestfitte	VERB
esrj-119576	392	28	distribution	distribution	NOUN
esrj-119576	392	29	are	be	AUX
esrj-119576	392	30	reported	report	VERB
esrj-119576	392	31	.	.	PUNCT
esrj-119576	393	1	377fitting	377fitte	VERB
esrj-119576	393	2	of	of	ADP
esrj-119576	393	3	statistical	statistical	ADJ
esrj-119576	393	4	distribution	distribution	NOUN
esrj-119576	393	5	in	in	ADP
esrj-119576	393	6	assessing	assess	VERB
esrj-119576	393	7	rainfall	rainfall	NOUN
esrj-119576	393	8	patterns	pattern	NOUN
esrj-119576	393	9	across	across	ADP
esrj-119576	393	10	various	various	ADJ
esrj-119576	393	11	zones	zone	NOUN
esrj-119576	393	12	of	of	ADP
esrj-119576	393	13	assam	assam	PROPN
esrj-119576	393	14	,	,	PUNCT
esrj-119576	393	15	india	india	PROPN
esrj-119576	393	16	appendix	appendix	PROPN
esrj-119576	393	17	b	b	PROPN
esrj-119576	393	18	:	:	PUNCT
esrj-119576	393	19	parameter	parameter	NOUN
esrj-119576	393	20	estimates	estimate	NOUN
esrj-119576	393	21	of	of	ADP
esrj-119576	393	22	silchar	silchar	PROPN
esrj-119576	393	23	station	station	PROPN
esrj-119576	393	24	,	,	PUNCT
esrj-119576	393	25	tezpur	tezpur	PROPN
esrj-119576	393	26	station	station	NOUN
esrj-119576	393	27	,	,	PUNCT
esrj-119576	393	28	dibrugarh	dibrugarh	NOUN
esrj-119576	393	29	station	station	NOUN
esrj-119576	393	30	and	and	CCONJ
esrj-119576	393	31	dhubri	dhubri	NOUN
esrj-119576	393	32	station	station	NOUN
esrj-119576	393	33	in	in	ADP
esrj-119576	393	34	monthly	monthly	ADJ
esrj-119576	393	35	and	and	CCONJ
esrj-119576	393	36	season	season	NOUN
esrj-119576	393	37	wise	wise	ADJ
esrj-119576	393	38	data	datum	NOUN
esrj-119576	393	39	.	.	PUNCT
esrj-119576	394	1	table	table	NOUN
esrj-119576	394	2	c	c	NOUN
esrj-119576	394	3	:	:	PUNCT
esrj-119576	394	4	estimates	estimate	NOUN
esrj-119576	394	5	of	of	ADP
esrj-119576	394	6	best	good	ADJ
esrj-119576	394	7	probability	probability	NOUN
esrj-119576	394	8	distribution	distribution	NOUN
esrj-119576	394	9	fitting	fitting	ADJ
esrj-119576	394	10	of	of	ADP
esrj-119576	394	11	total	total	ADJ
esrj-119576	394	12	monthly	monthly	ADJ
esrj-119576	394	13	rainfall	rainfall	NOUN
esrj-119576	394	14	in	in	ADP
esrj-119576	394	15	silchar	silchar	PROPN
esrj-119576	394	16	station	station	NOUN
esrj-119576	394	17	station	station	NOUN
esrj-119576	394	18	:	:	PUNCT
esrj-119576	394	19	silchar	silchar	PROPN
esrj-119576	394	20	estimates	estimate	VERB
esrj-119576	394	21	months	month	NOUN
esrj-119576	394	22	distribution	distribution	NOUN
esrj-119576	394	23	shape1	shape1	NOUN
esrj-119576	394	24	shape2	shape2	PROPN
esrj-119576	394	25	location	location	NOUN
esrj-119576	394	26	scale	scale	NOUN
esrj-119576	394	27	january	january	PROPN
esrj-119576	394	28	gumbel	gumbel	PROPN
esrj-119576	394	29	3.9666	3.9666	NUM
esrj-119576	394	30	6.6712	6.6712	NUM
esrj-119576	394	31	february	february	NOUN
esrj-119576	394	32	pearson	pearson	PROPN
esrj-119576	395	1	i	i	PRON
esrj-119576	395	2	0.3509	0.3509	NUM
esrj-119576	395	3	0.9882	0.9882	NUM
esrj-119576	395	4	0.0001	0.0001	NUM
esrj-119576	395	5	0.0652	0.0652	NUM
esrj-119576	395	6	march	march	NOUN
esrj-119576	395	7	weibull	weibull	NOUN
esrj-119576	395	8	1.3377	1.3377	NUM
esrj-119576	395	9	162.4325	162.4325	NUM
esrj-119576	395	10	april	april	PROPN
esrj-119576	395	11	pearson	pearson	PROPN
esrj-119576	396	1	i	i	PRON
esrj-119576	396	2	0.8518	0.8518	NUM
esrj-119576	396	3	1.8127	1.8127	NUM
esrj-119576	396	4	23.2000	23.2000	NUM
esrj-119576	396	5	802.9113	802.9113	NUM
esrj-119576	396	6	may	may	AUX
esrj-119576	396	7	weibull	weibull	PROPN
esrj-119576	396	8	2.2891	2.2891	NUM
esrj-119576	396	9	468.592	468.592	NUM
esrj-119576	396	10	june	june	PROPN
esrj-119576	396	11	pearson	pearson	PROPN
esrj-119576	396	12	ii	ii	PROPN
esrj-119576	396	13	1.7622	1.7622	NUM
esrj-119576	396	14	109.7549	109.7549	NUM
esrj-119576	396	15	803.5272	803.5272	NUM
esrj-119576	396	16	july	july	PROPN
esrj-119576	396	17	pearson	pearson	NOUN
esrj-119576	396	18	v	v	ADP
esrj-119576	396	19	5.6109	5.6109	NUM
esrj-119576	396	20	492.3355	492.3355	NUM
esrj-119576	396	21	120.8108	120.8108	NUM
esrj-119576	396	22	august	august	PROPN
esrj-119576	396	23	logistic	logistic	ADJ
esrj-119576	396	24	406.7817	406.7817	NUM
esrj-119576	396	25	85.6269	85.6269	NUM
esrj-119576	396	26	september	september	PROPN
esrj-119576	396	27	gamma	gamma	NOUN
esrj-119576	396	28	6.4457	6.4457	NUM
esrj-119576	396	29	0.0173	0.0173	NUM
esrj-119576	396	30	october	october	PROPN
esrj-119576	396	31	gumbel	gumbel	PROPN
esrj-119576	396	32	136.06	136.06	NUM
esrj-119576	396	33	82.2392	82.2392	NUM
esrj-119576	396	34	november	november	PROPN
esrj-119576	396	35	gumbel	gumbel	PROPN
esrj-119576	396	36	14.0195	14.0195	NUM
esrj-119576	396	37	19.143	19.143	NUM
esrj-119576	396	38	december	december	PROPN
esrj-119576	396	39	weibull	weibull	PROPN
esrj-119576	396	40	0.4074	0.4074	NUM
esrj-119576	396	41	95.1627	95.1627	NUM
esrj-119576	396	42	season	season	NOUN
esrj-119576	396	43	wise	wise	ADJ
esrj-119576	396	44	winter	winter	NOUN
esrj-119576	396	45	pearson	pearson	NOUN
esrj-119576	396	46	i	i	PRON
esrj-119576	396	47	0.3621	0.3621	NUM
esrj-119576	396	48	1.0518	1.0518	NUM
esrj-119576	396	49	0.0001	0.0001	NUM
esrj-119576	396	50	659.5552	659.5552	NUM
esrj-119576	396	51	pre	pre	ADJ
esrj-119576	396	52	-	-	ADJ
esrj-119576	396	53	mon	mon	ADJ
esrj-119576	396	54	pearson	pearson	NOUN
esrj-119576	396	55	i	i	PRON
esrj-119576	396	56	0.3588	0.3588	NUM
esrj-119576	396	57	1.0380	1.0380	NUM
esrj-119576	396	58	0.0001	0.0001	NUM
esrj-119576	396	59	657.548	657.548	NUM
esrj-119576	396	60	monsoon	monsoon	NOUN
esrj-119576	396	61	logistic	logistic	NOUN
esrj-119576	396	62	443.0995	443.0995	NUM
esrj-119576	396	63	96.6872	96.6872	NUM
esrj-119576	397	1	post	post	ADJ
esrj-119576	397	2	-	-	ADJ
esrj-119576	397	3	mon	mon	ADJ
esrj-119576	397	4	table	table	NOUN
esrj-119576	397	5	d.	d.	PROPN
esrj-119576	397	6	estimates	estimate	NOUN
esrj-119576	397	7	of	of	ADP
esrj-119576	397	8	best	good	ADJ
esrj-119576	397	9	probability	probability	NOUN
esrj-119576	397	10	distribution	distribution	NOUN
esrj-119576	397	11	fitting	fitting	ADJ
esrj-119576	397	12	of	of	ADP
esrj-119576	397	13	total	total	ADJ
esrj-119576	397	14	monthly	monthly	ADJ
esrj-119576	397	15	rainfall	rainfall	NOUN
esrj-119576	397	16	in	in	ADP
esrj-119576	397	17	tezpur	tezpur	PROPN
esrj-119576	397	18	station	station	NOUN
esrj-119576	397	19	station	station	NOUN
esrj-119576	397	20	:	:	PUNCT
esrj-119576	397	21	tezpur	tezpur	NOUN
esrj-119576	397	22	months	month	NOUN
esrj-119576	397	23	distribution	distribution	NOUN
esrj-119576	397	24	shape1	shape1	NOUN
esrj-119576	397	25	shape2	shape2	PROPN
esrj-119576	397	26	location	location	NOUN
esrj-119576	397	27	scale	scale	NOUN
esrj-119576	397	28	january	january	PROPN
esrj-119576	397	29	pearson	pearson	PROPN
esrj-119576	398	1	i	i	PRON
esrj-119576	398	2	0.2866	0.2866	NUM
esrj-119576	399	1	1.2953	1.2953	NUM
esrj-119576	399	2	0.0001	0.0001	NUM
esrj-119576	399	3	101.5330	101.5330	NUM
esrj-119576	399	4	february	february	NOUN
esrj-119576	399	5	pearson	pearson	NOUN
esrj-119576	399	6	i	i	PRON
esrj-119576	399	7	0.6298	0.6298	NUM
esrj-119576	399	8	2.1496	2.1496	NUM
esrj-119576	399	9	0.0001	0.0001	NUM
esrj-119576	399	10	110.4932	110.4932	NUM
esrj-119576	399	11	march	march	NOUN
esrj-119576	399	12	pearson	pearson	NOUN
esrj-119576	400	1	i	i	PRON
esrj-119576	400	2	0.6321	0.6321	NUM
esrj-119576	400	3	0.8496	0.8496	NUM
esrj-119576	400	4	0.9000	0.9000	NUM
esrj-119576	400	5	109.7770	109.7770	NUM
esrj-119576	400	6	april	april	PROPN
esrj-119576	400	7	gamma	gamma	NOUN
esrj-119576	400	8	3.4355	3.4355	NUM
esrj-119576	400	9	0.0205	0.0205	NUM
esrj-119576	400	10	may	may	AUX
esrj-119576	400	11	weibull	weibull	PROPN
esrj-119576	400	12	3.1960	3.1960	NUM
esrj-119576	400	13	283.2683	283.2683	NUM
esrj-119576	400	14	june	june	PROPN
esrj-119576	400	15	pearson	pearson	PROPN
esrj-119576	400	16	0	0	PROPN
esrj-119576	401	1	303.8474	303.8474	NUM
esrj-119576	401	2	142.9531	142.9531	NUM
esrj-119576	401	3	july	july	PROPN
esrj-119576	401	4	gamma	gamma	NOUN
esrj-119576	401	5	9.4320	9.4320	NUM
esrj-119576	401	6	0.0308	0.0308	NUM
esrj-119576	401	7	august	august	PROPN
esrj-119576	401	8	pearson	pearson	PROPN
esrj-119576	402	1	i	i	PRON
esrj-119576	402	2	0.9232	0.9232	NUM
esrj-119576	402	3	1.3029	1.3029	NUM
esrj-119576	402	4	97.5000	97.5000	NUM
esrj-119576	402	5	425.9379	425.9379	NUM
esrj-119576	402	6	september	september	PROPN
esrj-119576	402	7	pearson	pearson	NOUN
esrj-119576	403	1	i	i	PRON
esrj-119576	403	2	0.9534	0.9534	NUM
esrj-119576	403	3	2.3509	2.3509	NUM
esrj-119576	403	4	85.5000	85.5000	NUM
esrj-119576	403	5	475.2478	475.2478	NUM
esrj-119576	403	6	october	october	PROPN
esrj-119576	403	7	pearson	pearson	NOUN
esrj-119576	404	1	i	i	PRON
esrj-119576	404	2	0.8165	0.8165	NUM
esrj-119576	404	3	1.6495	1.6495	NUM
esrj-119576	404	4	12.0000	12.0000	NUM
esrj-119576	404	5	254.0389	254.0389	NUM
esrj-119576	404	6	november	november	PROPN
esrj-119576	404	7	pearson	pearson	PROPN
esrj-119576	405	1	i	i	PRON
esrj-119576	405	2	0.5354	0.5354	NUM
esrj-119576	405	3	3.7419	3.7419	NUM
esrj-119576	405	4	0.0001	0.0001	NUM
esrj-119576	405	5	147.7994	147.7994	NUM
esrj-119576	405	6	december	december	PROPN
esrj-119576	405	7	pearson	pearson	NOUN
esrj-119576	405	8	i	i	PRON
esrj-119576	405	9	0.3106	0.3106	NUM
esrj-119576	405	10	3.5235	3.5235	NUM
esrj-119576	405	11	0.0001	0.0001	NUM
esrj-119576	405	12	133.2491	133.2491	NUM
esrj-119576	405	13	season	season	NOUN
esrj-119576	405	14	wise	wise	ADJ
esrj-119576	405	15	winter	winter	NOUN
esrj-119576	405	16	pearson	pearson	NOUN
esrj-119576	405	17	i	i	PRON
esrj-119576	405	18	0.3837	0.3837	NUM
esrj-119576	406	1	1.6437	1.6437	NUM
esrj-119576	406	2	0.0001	0.0001	NUM
esrj-119576	406	3	103.9733	103.9733	NUM
esrj-119576	406	4	pre	pre	ADJ
esrj-119576	406	5	-	-	ADJ
esrj-119576	406	6	mon	mon	ADJ
esrj-119576	406	7	pearson	pearson	PROPN
esrj-119576	406	8	i	i	PRON
esrj-119576	406	9	0.9077	0.9077	NUM
esrj-119576	407	1	2.0101	2.0101	NUM
esrj-119576	407	2	0.9000	0.9000	NUM
esrj-119576	407	3	482.7833	482.7833	NUM
esrj-119576	407	4	monsoon	monsoon	NOUN
esrj-119576	407	5	gumbel	gumbel	PROPN
esrj-119576	407	6	220.4292	220.4292	NUM
esrj-119576	407	7	103.0446	103.0446	NUM
esrj-119576	407	8	post	post	ADJ
esrj-119576	407	9	-	-	ADJ
esrj-119576	407	10	mon	mon	ADJ
esrj-119576	407	11	pearson	pearson	NOUN
esrj-119576	407	12	i	i	PRON
esrj-119576	407	13	0.3455	0.3455	NUM
esrj-119576	407	14	1.7339	1.7339	NUM
esrj-119576	407	15	0.0001	0.0001	NUM
esrj-119576	407	16	278.8994	278.8994	NUM
esrj-119576	407	17	378	378	NUM
esrj-119576	407	18	tanusree	tanusree	ADJ
esrj-119576	407	19	deb	deb	PROPN
esrj-119576	407	20	roy	roy	PROPN
esrj-119576	407	21	,	,	PUNCT
esrj-119576	407	22	dipanjali	dipanjali	PROPN
esrj-119576	407	23	ray	ray	PROPN
esrj-119576	407	24	,	,	PUNCT
esrj-119576	407	25	subhankar	subhankar	PROPN
esrj-119576	407	26	dutta	dutta	PROPN
esrj-119576	407	27	,	,	PUNCT
esrj-119576	407	28	and	and	CCONJ
esrj-119576	407	29	sebul	sebul	PROPN
esrj-119576	407	30	islam	islam	PROPN
esrj-119576	407	31	laskar	laskar	PROPN
esrj-119576	407	32	table	table	PROPN
esrj-119576	407	33	e.	e.	PROPN
esrj-119576	407	34	estimates	estimate	NOUN
esrj-119576	407	35	of	of	ADP
esrj-119576	407	36	best	good	ADJ
esrj-119576	407	37	probability	probability	NOUN
esrj-119576	407	38	distribution	distribution	NOUN
esrj-119576	407	39	fitting	fitting	ADJ
esrj-119576	407	40	of	of	ADP
esrj-119576	407	41	total	total	ADJ
esrj-119576	407	42	monthly	monthly	ADJ
esrj-119576	407	43	rainfall	rainfall	NOUN
esrj-119576	407	44	in	in	ADP
esrj-119576	407	45	dibrugarh	dibrugarh	NOUN
esrj-119576	407	46	station	station	NOUN
esrj-119576	407	47	station	station	NOUN
esrj-119576	407	48	:	:	PUNCT
esrj-119576	407	49	dibrugarh	dibrugarh	NOUN
esrj-119576	407	50	months	month	NOUN
esrj-119576	407	51	distribution	distribution	NOUN
esrj-119576	407	52	shape1	shape1	NOUN
esrj-119576	407	53	shape2	shape2	PROPN
esrj-119576	407	54	location	location	NOUN
esrj-119576	407	55	scale	scale	NOUN
esrj-119576	407	56	january	january	PROPN
esrj-119576	407	57	weibull	weibull	PROPN
esrj-119576	407	58	1.2982	1.2982	NUM
esrj-119576	407	59	26.0708	26.0708	NUM
esrj-119576	407	60	february	february	PROPN
esrj-119576	407	61	weibull	weibull	PROPN
esrj-119576	407	62	1.2670	1.2670	NUM
esrj-119576	407	63	65.7468	65.7468	NUM
esrj-119576	407	64	march	march	NOUN
esrj-119576	407	65	pearson	pearson	NOUN
esrj-119576	408	1	i	i	PRON
esrj-119576	408	2	0.6223	0.6223	VERB
esrj-119576	408	3	0.8717	0.8717	NUM
esrj-119576	408	4	28.8000	28.8000	NUM
esrj-119576	409	1	211.9777	211.9777	NUM
esrj-119576	409	2	april	april	PROPN
esrj-119576	409	3	weibull	weibull	PROPN
esrj-119576	409	4	1.2982	1.2982	NUM
esrj-119576	409	5	26.0708	26.0708	NUM
esrj-119576	409	6	may	may	AUX
esrj-119576	409	7	pearson	pearson	VERB
esrj-119576	409	8	iii	iii	PROPN
esrj-119576	409	9	3.3481	3.3481	NUM
esrj-119576	409	10	29.1147	29.1147	NUM
esrj-119576	409	11	82.5268	82.5268	NUM
esrj-119576	409	12	june	june	PROPN
esrj-119576	409	13	logistic	logistic	NOUN
esrj-119576	409	14	396.9677	396.9677	NUM
esrj-119576	409	15	90.1618	90.1618	NUM
esrj-119576	409	16	july	july	PROPN
esrj-119576	409	17	pearson	pearson	PROPN
esrj-119576	409	18	i	i	PROPN
esrj-119576	409	19	4.572	4.572	NUM
esrj-119576	409	20	4.7715	4.7715	NUM
esrj-119576	409	21	639.4236	639.4236	NUM
esrj-119576	409	22	245.1121	245.1121	NUM
esrj-119576	409	23	august	august	NOUN
esrj-119576	409	24	logistic	logistic	ADJ
esrj-119576	409	25	373.2674	373.2674	NUM
esrj-119576	409	26	82.0850	82.0850	NUM
esrj-119576	409	27	september	september	PROPN
esrj-119576	409	28	pearson	pearson	NOUN
esrj-119576	410	1	i	i	PRON
esrj-119576	410	2	0.9131	0.9131	NUM
esrj-119576	411	1	1.3561	1.3561	NUM
esrj-119576	411	2	128.1000	128.1000	NUM
esrj-119576	411	3	500.7443	500.7443	NUM
esrj-119576	411	4	october	october	PROPN
esrj-119576	411	5	pearson	pearson	NOUN
esrj-119576	411	6	i	i	PRON
esrj-119576	411	7	0.8149	0.8149	NUM
esrj-119576	411	8	1.5532	1.5532	NUM
esrj-119576	411	9	30.6000	30.6000	NUM
esrj-119576	411	10	289.403	289.403	NUM
esrj-119576	411	11	november	november	NOUN
esrj-119576	411	12	gumbel	gumbel	PROPN
esrj-119576	411	13	13.5589	13.5589	NUM
esrj-119576	411	14	22.0851	22.0851	NUM
esrj-119576	411	15	december	december	PROPN
esrj-119576	411	16	weibull	weibull	PROPN
esrj-119576	411	17	1.9822	1.9822	NUM
esrj-119576	411	18	5.7701	5.7701	NUM
esrj-119576	411	19	season	season	NOUN
esrj-119576	411	20	wise	wise	ADJ
esrj-119576	411	21	winter	winter	NOUN
esrj-119576	411	22	weibull	weibull	PROPN
esrj-119576	411	23	1.0804	1.0804	NUM
esrj-119576	411	24	44.029	44.029	NUM
esrj-119576	411	25	pre	pre	ADJ
esrj-119576	411	26	-	-	ADJ
esrj-119576	411	27	mon	mon	ADJ
esrj-119576	411	28	gamma	gamma	PROPN
esrj-119576	411	29	2.3473	2.3473	NUM
esrj-119576	411	30	0.0110	0.0110	NUM
esrj-119576	411	31	monsoon	monsoon	PROPN
esrj-119576	411	32	pearson	pearson	PROPN
esrj-119576	411	33	iii	iii	PROPN
esrj-119576	411	34	397.9645	397.9645	NUM
esrj-119576	411	35	149.3592	149.3592	NUM
esrj-119576	411	36	post	post	ADJ
esrj-119576	411	37	-	-	ADJ
esrj-119576	411	38	mon	mon	ADJ
esrj-119576	411	39	weibull	weibull	PROPN
esrj-119576	411	40	0.4773	0.4773	NUM
esrj-119576	411	41	32.7641	32.7641	NUM
esrj-119576	411	42	table	table	NOUN
esrj-119576	411	43	f.	f.	PROPN
esrj-119576	411	44	estimates	estimate	NOUN
esrj-119576	411	45	of	of	ADP
esrj-119576	411	46	best	good	ADJ
esrj-119576	411	47	probability	probability	NOUN
esrj-119576	411	48	distribution	distribution	NOUN
esrj-119576	411	49	fitting	fitting	ADJ
esrj-119576	411	50	of	of	ADP
esrj-119576	411	51	total	total	ADJ
esrj-119576	411	52	monthly	monthly	ADJ
esrj-119576	411	53	rainfall	rainfall	NOUN
esrj-119576	411	54	in	in	ADP
esrj-119576	411	55	dhubri	dhubri	NOUN
esrj-119576	411	56	station	station	NOUN
esrj-119576	411	57	station	station	NOUN
esrj-119576	411	58	:	:	PUNCT
esrj-119576	411	59	dhubri	dhubri	NOUN
esrj-119576	411	60	months	month	NOUN
esrj-119576	411	61	distribution	distribution	NOUN
esrj-119576	411	62	shape1	shape1	NOUN
esrj-119576	411	63	shape2	shape2	PROPN
esrj-119576	411	64	location	location	NOUN
esrj-119576	411	65	scale	scale	NOUN
esrj-119576	411	66	january	january	PROPN
esrj-119576	411	67	february	february	PROPN
esrj-119576	411	68	gamma	gamma	PROPN
esrj-119576	411	69	0.2849	0.2849	NUM
esrj-119576	411	70	0.0048	0.0048	NUM
esrj-119576	411	71	march	march	NOUN
esrj-119576	411	72	gumbel	gumbel	PROPN
esrj-119576	411	73	31.0939	31.0939	NUM
esrj-119576	411	74	37.3340	37.3340	NUM
esrj-119576	411	75	april	april	PROPN
esrj-119576	411	76	gumbel	gumbel	PROPN
esrj-119576	411	77	141.1324	141.1324	NUM
esrj-119576	411	78	88.0224	88.0224	NUM
esrj-119576	411	79	may	may	AUX
esrj-119576	411	80	logistic	logistic	VERB
esrj-119576	411	81	324.4702	324.4702	NUM
esrj-119576	411	82	73.7592	73.7592	NUM
esrj-119576	411	83	june	june	PROPN
esrj-119576	411	84	weibull	weibull	PROPN
esrj-119576	411	85	3.1264	3.1264	NUM
esrj-119576	411	86	579.8261	579.8261	NUM
esrj-119576	411	87	july	july	PROPN
esrj-119576	411	88	pearson	pearson	PROPN
esrj-119576	411	89	vii	vii	PROPN
esrj-119576	411	90	5.6109	5.6109	NUM
esrj-119576	411	91	492.3355	492.3355	NUM
esrj-119576	411	92	120.8100	120.8100	NUM
esrj-119576	411	93	august	august	NOUN
esrj-119576	411	94	gumbel	gumbel	PROPN
esrj-119576	411	95	248.8648	248.8648	PROPN
esrj-119576	411	96	137.3011	137.3011	NUM
esrj-119576	411	97	september	september	PROPN
esrj-119576	411	98	gamma	gamma	NOUN
esrj-119576	411	99	6.4457	6.4457	NUM
esrj-119576	411	100	0.0173	0.0173	NUM
esrj-119576	411	101	october	october	PROPN
esrj-119576	411	102	weibull	weibull	PROPN
esrj-119576	411	103	1.8043	1.8043	NUM
esrj-119576	411	104	204.1932	204.1932	NUM
esrj-119576	411	105	november	november	PROPN
esrj-119576	411	106	pearson	pearson	NOUN
esrj-119576	411	107	i	i	PRON
esrj-119576	411	108	0.3539	0.3539	NUM
esrj-119576	411	109	0.7547	0.7547	NUM
esrj-119576	411	110	0.0001	0.0001	NUM
esrj-119576	411	111	94.8928	94.8928	NUM
esrj-119576	411	112	december	december	PROPN
esrj-119576	411	113	season	season	NOUN
esrj-119576	411	114	wise	wise	ADJ
esrj-119576	411	115	winter	winter	NOUN
esrj-119576	411	116	pre	pre	NOUN
esrj-119576	411	117	-	-	NOUN
esrj-119576	412	1	mon	mon	ADJ
esrj-119576	412	2	gumbel	gumbel	PROPN
esrj-119576	413	1	120.9820	120.9820	NUM
esrj-119576	413	2	117.9553	117.9553	NUM
esrj-119576	413	3	monsoon	monsoon	NOUN
esrj-119576	413	4	weibull	weibull	NOUN
esrj-119576	413	5	2.649	2.649	NUM
esrj-119576	413	6	494.7737	494.7737	NUM
esrj-119576	413	7	pearson	pearson	PROPN
esrj-119576	413	8	iii	iii	PROPN
esrj-119576	413	9	25.8363	25.8363	NUM
esrj-119576	413	10	458.5850	458.5850	NUM
esrj-119576	413	11	34.6120	34.6120	NUM
esrj-119576	413	12	post	post	ADJ
esrj-119576	413	13	-	-	ADJ
esrj-119576	413	14	mon	mon	ADJ
esrj-119576	413	15	table	table	NOUN
esrj-119576	413	16	c	c	NOUN
esrj-119576	413	17	,	,	PUNCT
esrj-119576	413	18	d	d	NOUN
esrj-119576	413	19	,	,	PUNCT
esrj-119576	413	20	e	e	PROPN
esrj-119576	413	21	and	and	CCONJ
esrj-119576	413	22	f	f	PROPN
esrj-119576	413	23	represents	represent	VERB
esrj-119576	413	24	the	the	DET
esrj-119576	413	25	estimates	estimate	NOUN
esrj-119576	413	26	of	of	ADP
esrj-119576	413	27	parameters	parameter	NOUN
esrj-119576	413	28	of	of	ADP
esrj-119576	413	29	best	good	ADJ
esrj-119576	413	30	distribution	distribution	NOUN
esrj-119576	413	31	among	among	ADP
esrj-119576	413	32	ten	ten	NUM
esrj-119576	413	33	selected	select	VERB
esrj-119576	413	34	distribution	distribution	NOUN
esrj-119576	413	35	considering	consider	VERB
esrj-119576	413	36	rainfall	rainfall	NOUN
esrj-119576	413	37	data	datum	NOUN
esrj-119576	413	38	for	for	ADP
esrj-119576	413	39	each	each	DET
esrj-119576	413	40	month	month	NOUN
esrj-119576	413	41	and	and	CCONJ
esrj-119576	413	42	season	season	NOUN
esrj-119576	413	43	wise	wise	ADJ
esrj-119576	413	44	for	for	ADP
esrj-119576	413	45	silchar	silchar	PROPN
esrj-119576	413	46	,	,	PUNCT
esrj-119576	413	47	tezpur	tezpur	NOUN
esrj-119576	413	48	,	,	PUNCT
esrj-119576	413	49	dibrugarh	dibrugarh	NOUN
esrj-119576	413	50	and	and	CCONJ
esrj-119576	413	51	dhubri	dhubri	NOUN
esrj-119576	413	52	station	station	NOUN
esrj-119576	413	53	respectively	respectively	ADV
esrj-119576	413	54	.	.	PUNCT
esrj-119576	414	1	_	_	DET
esrj-119576	414	2	hlk165186881	hlk165186881	NOUN
esrj-119576	414	3	_	_	PRON
esrj-119576	414	4	hlk165187188	hlk165187188	VERB
esrj-119576	414	5	_	_	DET
esrj-119576	414	6	hlk174727923	hlk174727923	NOUN
esrj-119576	414	7	_	_	X
esrj-119576	414	8	goback	goback	X
esrj-119576	414	9	_	_	PRON
esrj-119576	414	10	hlk174389375	hlk174389375	NOUN