id	sid	tid	token	lemma	pos
ejpam-4882	1	1	european	european	PROPN
ejpam-4882	1	2	journal	journal	PROPN
ejpam-4882	1	3	of	of	ADP
ejpam-4882	1	4	pure	pure	ADJ
ejpam-4882	1	5	and	and	CCONJ
ejpam-4882	1	6	applied	apply	VERB
ejpam-4882	1	7	mathematics	mathematic	NOUN
ejpam-4882	1	8	vol	vol	NOUN
ejpam-4882	1	9	.	.	PUNCT
ejpam-4882	2	1	16	16	NUM
ejpam-4882	2	2	,	,	PUNCT
ejpam-4882	2	3	no	no	INTJ
ejpam-4882	2	4	.	.	NOUN
ejpam-4882	2	5	4	4	NUM
ejpam-4882	2	6	,	,	PUNCT
ejpam-4882	2	7	2023	2023	NUM
ejpam-4882	2	8	,	,	PUNCT
ejpam-4882	2	9	2461	2461	NUM
ejpam-4882	2	10	-	-	SYM
ejpam-4882	2	11	2475	2475	NUM
ejpam-4882	2	12	issn	issn	PROPN
ejpam-4882	2	13	1307	1307	NUM
ejpam-4882	2	14	-	-	SYM
ejpam-4882	2	15	5543	5543	NUM
ejpam-4882	2	16	–	–	PUNCT
ejpam-4882	2	17	ejpam.com	ejpam.com	X
ejpam-4882	2	18	published	publish	VERB
ejpam-4882	2	19	by	by	ADP
ejpam-4882	2	20	new	new	PROPN
ejpam-4882	2	21	york	york	PROPN
ejpam-4882	2	22	business	business	PROPN
ejpam-4882	3	1	global	global	PROPN
ejpam-4882	3	2	a	a	DET
ejpam-4882	3	3	new	new	ADJ
ejpam-4882	3	4	class	class	NOUN
ejpam-4882	3	5	of	of	ADP
ejpam-4882	3	6	generalized	generalized	ADJ
ejpam-4882	3	7	extreme	extreme	ADJ
ejpam-4882	3	8	value	value	NOUN
ejpam-4882	3	9	distribution	distribution	NOUN
ejpam-4882	3	10	and	and	CCONJ
ejpam-4882	3	11	application	application	NOUN
ejpam-4882	3	12	under	under	ADP
ejpam-4882	3	13	alpha	alpha	NOUN
ejpam-4882	3	14	power	power	NOUN
ejpam-4882	3	15	transformation	transformation	NOUN
ejpam-4882	3	16	method	method	NOUN
ejpam-4882	3	17	pannawit	pannawit	PROPN
ejpam-4882	3	18	khamrot1	khamrot1	PROPN
ejpam-4882	3	19	,	,	PUNCT
ejpam-4882	3	20	natthinee	natthinee	NOUN
ejpam-4882	3	21	deetae2,∗	deetae2,∗	PROPN
ejpam-4882	3	22	1	1	NUM
ejpam-4882	3	23	department	department	NOUN
ejpam-4882	3	24	of	of	ADP
ejpam-4882	3	25	mathematics	mathematic	NOUN
ejpam-4882	3	26	,	,	PUNCT
ejpam-4882	3	27	faculty	faculty	NOUN
ejpam-4882	3	28	of	of	ADP
ejpam-4882	3	29	science	science	NOUN
ejpam-4882	3	30	and	and	CCONJ
ejpam-4882	3	31	agricultural	agricultural	ADJ
ejpam-4882	3	32	technology	technology	NOUN
ejpam-4882	3	33	,	,	PUNCT
ejpam-4882	3	34	rajamangala	rajamangala	PROPN
ejpam-4882	3	35	university	university	PROPN
ejpam-4882	3	36	of	of	ADP
ejpam-4882	3	37	technology	technology	PROPN
ejpam-4882	3	38	lanna	lanna	PROPN
ejpam-4882	3	39	phitsanulok	phitsanulok	PROPN
ejpam-4882	3	40	,	,	PUNCT
ejpam-4882	3	41	phitsanulok	phitsanulok	PROPN
ejpam-4882	3	42	,	,	PUNCT
ejpam-4882	3	43	thailand	thailand	PROPN
ejpam-4882	3	44	.	.	PROPN
ejpam-4882	4	1	2	2	NUM
ejpam-4882	4	2	department	department	NOUN
ejpam-4882	4	3	of	of	ADP
ejpam-4882	4	4	statistics	statistic	NOUN
ejpam-4882	4	5	,	,	PUNCT
ejpam-4882	4	6	faculty	faculty	NOUN
ejpam-4882	4	7	of	of	ADP
ejpam-4882	4	8	science	science	NOUN
ejpam-4882	4	9	and	and	CCONJ
ejpam-4882	4	10	technology	technology	NOUN
ejpam-4882	4	11	,	,	PUNCT
ejpam-4882	4	12	pibulsongkram	pibulsongkram	PROPN
ejpam-4882	4	13	rajabhat	rajabhat	PROPN
ejpam-4882	4	14	university	university	NOUN
ejpam-4882	4	15	,	,	PUNCT
ejpam-4882	4	16	phitsanulok	phitsanulok	PROPN
ejpam-4882	4	17	,	,	PUNCT
ejpam-4882	4	18	thailand	thailand	PROPN
ejpam-4882	4	19	.	.	PUNCT
ejpam-4882	5	1	abstract	abstract	PROPN
ejpam-4882	5	2	.	.	PUNCT
ejpam-4882	6	1	this	this	DET
ejpam-4882	6	2	paper	paper	NOUN
ejpam-4882	6	3	presents	present	VERB
ejpam-4882	6	4	an	an	DET
ejpam-4882	6	5	expansion	expansion	NOUN
ejpam-4882	6	6	of	of	ADP
ejpam-4882	6	7	the	the	DET
ejpam-4882	6	8	generalized	generalized	ADJ
ejpam-4882	6	9	extreme	extreme	ADJ
ejpam-4882	6	10	value	value	NOUN
ejpam-4882	6	11	distribution	distribution	NOUN
ejpam-4882	6	12	to	to	ADP
ejpam-4882	6	13	new	new	ADJ
ejpam-4882	6	14	distribution	distribution	NOUN
ejpam-4882	6	15	classes	class	NOUN
ejpam-4882	6	16	,	,	PUNCT
ejpam-4882	6	17	specifically	specifically	ADV
ejpam-4882	6	18	the	the	DET
ejpam-4882	6	19	alpha	alpha	NOUN
ejpam-4882	6	20	power	power	NOUN
ejpam-4882	6	21	transformation	transformation	NOUN
ejpam-4882	6	22	generalized	generalize	VERB
ejpam-4882	6	23	extreme	extreme	ADJ
ejpam-4882	6	24	value	value	NOUN
ejpam-4882	6	25	(	(	PUNCT
ejpam-4882	6	26	aptgev	aptgev	NOUN
ejpam-4882	6	27	)	)	PUNCT
ejpam-4882	6	28	distribution	distribution	NOUN
ejpam-4882	6	29	.	.	PUNCT
ejpam-4882	7	1	this	this	DET
ejpam-4882	7	2	extension	extension	NOUN
ejpam-4882	7	3	is	be	AUX
ejpam-4882	7	4	achieved	achieve	VERB
ejpam-4882	7	5	by	by	ADP
ejpam-4882	7	6	combining	combine	VERB
ejpam-4882	7	7	the	the	DET
ejpam-4882	7	8	extreme	extreme	ADJ
ejpam-4882	7	9	value	value	NOUN
ejpam-4882	7	10	theory	theory	NOUN
ejpam-4882	7	11	and	and	CCONJ
ejpam-4882	7	12	the	the	DET
ejpam-4882	7	13	alpha	alpha	NOUN
ejpam-4882	7	14	power	power	NOUN
ejpam-4882	7	15	transformation	transformation	NOUN
ejpam-4882	7	16	technique	technique	NOUN
ejpam-4882	7	17	.	.	PUNCT
ejpam-4882	8	1	we	we	PRON
ejpam-4882	8	2	employ	employ	VERB
ejpam-4882	8	3	the	the	DET
ejpam-4882	8	4	maximum	maximum	ADJ
ejpam-4882	8	5	likelihood	likelihood	NOUN
ejpam-4882	8	6	method	method	NOUN
ejpam-4882	8	7	in	in	ADP
ejpam-4882	8	8	conjunction	conjunction	NOUN
ejpam-4882	8	9	with	with	ADP
ejpam-4882	8	10	the	the	DET
ejpam-4882	8	11	newton	newton	PROPN
ejpam-4882	8	12	-	-	PUNCT
ejpam-4882	8	13	raphson	raphson	NOUN
ejpam-4882	8	14	procedure	procedure	NOUN
ejpam-4882	8	15	to	to	PART
ejpam-4882	8	16	estimate	estimate	VERB
ejpam-4882	8	17	the	the	DET
ejpam-4882	8	18	parameters	parameter	NOUN
ejpam-4882	8	19	in	in	ADP
ejpam-4882	8	20	these	these	DET
ejpam-4882	8	21	proposed	propose	VERB
ejpam-4882	8	22	distributions	distribution	NOUN
ejpam-4882	8	23	.	.	PUNCT
ejpam-4882	9	1	in	in	ADP
ejpam-4882	9	2	the	the	DET
ejpam-4882	9	3	final	final	ADJ
ejpam-4882	9	4	stages	stage	NOUN
ejpam-4882	9	5	of	of	ADP
ejpam-4882	9	6	our	our	PRON
ejpam-4882	9	7	research	research	NOUN
ejpam-4882	9	8	,	,	PUNCT
ejpam-4882	9	9	we	we	PRON
ejpam-4882	9	10	simulate	simulate	VERB
ejpam-4882	9	11	these	these	DET
ejpam-4882	9	12	new	new	ADJ
ejpam-4882	9	13	distributions	distribution	NOUN
ejpam-4882	9	14	and	and	CCONJ
ejpam-4882	9	15	apply	apply	VERB
ejpam-4882	9	16	them	they	PRON
ejpam-4882	9	17	to	to	ADP
ejpam-4882	9	18	real	real	ADJ
ejpam-4882	9	19	-	-	PUNCT
ejpam-4882	9	20	world	world	NOUN
ejpam-4882	9	21	data	datum	NOUN
ejpam-4882	9	22	.	.	PUNCT
ejpam-4882	10	1	for	for	ADP
ejpam-4882	10	2	this	this	DET
ejpam-4882	10	3	study	study	NOUN
ejpam-4882	10	4	,	,	PUNCT
ejpam-4882	10	5	we	we	PRON
ejpam-4882	10	6	have	have	AUX
ejpam-4882	10	7	chosen	choose	VERB
ejpam-4882	10	8	extreme	extreme	ADJ
ejpam-4882	10	9	rainfall	rainfall	NOUN
ejpam-4882	10	10	data	datum	NOUN
ejpam-4882	10	11	from	from	ADP
ejpam-4882	10	12	a	a	DET
ejpam-4882	10	13	weather	weather	NOUN
ejpam-4882	10	14	station	station	NOUN
ejpam-4882	10	15	in	in	ADP
ejpam-4882	10	16	the	the	DET
ejpam-4882	10	17	si	si	PROPN
ejpam-4882	10	18	samrong	samrong	PROPN
ejpam-4882	10	19	district	district	PROPN
ejpam-4882	10	20	sukhothai	sukhothai	PROPN
ejpam-4882	10	21	province	province	PROPN
ejpam-4882	10	22	of	of	ADP
ejpam-4882	10	23	thailand	thailand	PROPN
ejpam-4882	10	24	as	as	ADP
ejpam-4882	10	25	our	our	PRON
ejpam-4882	10	26	dataset	dataset	NOUN
ejpam-4882	10	27	.	.	PUNCT
ejpam-4882	11	1	these	these	DET
ejpam-4882	11	2	extended	extend	VERB
ejpam-4882	11	3	distribution	distribution	NOUN
ejpam-4882	11	4	classes	class	NOUN
ejpam-4882	11	5	are	be	AUX
ejpam-4882	11	6	designed	design	VERB
ejpam-4882	11	7	to	to	PART
ejpam-4882	11	8	provide	provide	VERB
ejpam-4882	11	9	greater	great	ADJ
ejpam-4882	11	10	flexibility	flexibility	NOUN
ejpam-4882	11	11	and	and	CCONJ
ejpam-4882	11	12	adaptability	adaptability	NOUN
ejpam-4882	11	13	in	in	ADP
ejpam-4882	11	14	understanding	understand	VERB
ejpam-4882	11	15	complex	complex	ADJ
ejpam-4882	11	16	data	datum	NOUN
ejpam-4882	11	17	patterns	pattern	NOUN
ejpam-4882	11	18	,	,	PUNCT
ejpam-4882	11	19	and	and	CCONJ
ejpam-4882	11	20	their	their	PRON
ejpam-4882	11	21	application	application	NOUN
ejpam-4882	11	22	to	to	ADP
ejpam-4882	11	23	real	real	ADJ
ejpam-4882	11	24	-	-	PUNCT
ejpam-4882	11	25	world	world	NOUN
ejpam-4882	11	26	data	datum	NOUN
ejpam-4882	11	27	offers	offer	VERB
ejpam-4882	11	28	valuable	valuable	ADJ
ejpam-4882	11	29	insights	insight	NOUN
ejpam-4882	11	30	into	into	ADP
ejpam-4882	11	31	their	their	PRON
ejpam-4882	11	32	effectiveness	effectiveness	NOUN
ejpam-4882	11	33	.	.	PUNCT
ejpam-4882	12	1	2020	2020	NUM
ejpam-4882	12	2	mathematics	mathematic	NOUN
ejpam-4882	12	3	subject	subject	NOUN
ejpam-4882	12	4	classifications	classification	NOUN
ejpam-4882	12	5	:	:	PUNCT
ejpam-4882	12	6	62e10	62e10	NUM
ejpam-4882	12	7	,	,	PUNCT
ejpam-4882	12	8	60g70	60g70	NUM
ejpam-4882	12	9	,	,	PUNCT
ejpam-4882	12	10	62g32	62g32	DET
ejpam-4882	12	11	key	key	ADJ
ejpam-4882	12	12	words	word	NOUN
ejpam-4882	12	13	and	and	CCONJ
ejpam-4882	12	14	phrases	phrase	NOUN
ejpam-4882	12	15	:	:	PUNCT
ejpam-4882	12	16	extremes	extreme	NOUN
ejpam-4882	12	17	value	value	NOUN
ejpam-4882	12	18	theory	theory	NOUN
ejpam-4882	12	19	,	,	PUNCT
ejpam-4882	12	20	generalized	generalized	ADJ
ejpam-4882	12	21	extreme	extreme	ADJ
ejpam-4882	12	22	value	value	NOUN
ejpam-4882	12	23	distribution	distribution	NOUN
ejpam-4882	12	24	,	,	PUNCT
ejpam-4882	12	25	alpha	alpha	NOUN
ejpam-4882	12	26	power	power	NOUN
ejpam-4882	12	27	transformation	transformation	NOUN
ejpam-4882	12	28	method	method	NOUN
ejpam-4882	12	29	,	,	PUNCT
ejpam-4882	12	30	return	return	NOUN
ejpam-4882	12	31	level	level	NOUN
ejpam-4882	12	32	,	,	PUNCT
ejpam-4882	12	33	maximum	maximum	ADJ
ejpam-4882	12	34	likelihood	likelihood	NOUN
ejpam-4882	12	35	estimation	estimation	NOUN
ejpam-4882	12	36	1	1	NUM
ejpam-4882	12	37	.	.	PUNCT
ejpam-4882	13	1	introduction	introduction	NOUN
ejpam-4882	13	2	extreme	extreme	ADJ
ejpam-4882	13	3	value	value	NOUN
ejpam-4882	13	4	theory	theory	NOUN
ejpam-4882	13	5	,	,	PUNCT
ejpam-4882	13	6	also	also	ADV
ejpam-4882	13	7	known	know	VERB
ejpam-4882	13	8	as	as	ADP
ejpam-4882	13	9	extreme	extreme	ADJ
ejpam-4882	13	10	value	value	NOUN
ejpam-4882	13	11	analysis	analysis	NOUN
ejpam-4882	13	12	(	(	PUNCT
ejpam-4882	13	13	eva	eva	PROPN
ejpam-4882	13	14	)	)	PUNCT
ejpam-4882	13	15	,	,	PUNCT
ejpam-4882	13	16	is	be	AUX
ejpam-4882	13	17	a	a	DET
ejpam-4882	13	18	specialized	specialized	ADJ
ejpam-4882	13	19	area	area	NOUN
ejpam-4882	13	20	within	within	ADP
ejpam-4882	13	21	statistics	statistic	NOUN
ejpam-4882	13	22	that	that	PRON
ejpam-4882	13	23	focuses	focus	VERB
ejpam-4882	13	24	on	on	ADP
ejpam-4882	13	25	the	the	DET
ejpam-4882	13	26	significant	significant	ADJ
ejpam-4882	13	27	departures	departure	NOUN
ejpam-4882	13	28	from	from	ADP
ejpam-4882	13	29	the	the	DET
ejpam-4882	13	30	median	median	NOUN
ejpam-4882	13	31	in	in	ADP
ejpam-4882	13	32	probability	probability	NOUN
ejpam-4882	13	33	distributions	distribution	NOUN
ejpam-4882	13	34	.	.	PUNCT
ejpam-4882	14	1	its	its	PRON
ejpam-4882	14	2	purpose	purpose	NOUN
ejpam-4882	14	3	is	be	AUX
ejpam-4882	14	4	to	to	PART
ejpam-4882	14	5	evaluate	evaluate	VERB
ejpam-4882	14	6	the	the	DET
ejpam-4882	14	7	likelihood	likelihood	NOUN
ejpam-4882	14	8	of	of	ADP
ejpam-4882	14	9	events	event	NOUN
ejpam-4882	14	10	surpassing	surpass	VERB
ejpam-4882	14	11	any	any	DET
ejpam-4882	14	12	previously	previously	ADV
ejpam-4882	14	13	recorded	record	VERB
ejpam-4882	14	14	extremities	extremity	NOUN
ejpam-4882	14	15	from	from	ADP
ejpam-4882	14	16	a	a	DET
ejpam-4882	14	17	specified	specify	VERB
ejpam-4882	14	18	ordered	order	VERB
ejpam-4882	14	19	sample	sample	NOUN
ejpam-4882	14	20	of	of	ADP
ejpam-4882	14	21	a	a	DET
ejpam-4882	14	22	particular	particular	ADJ
ejpam-4882	14	23	random	random	ADJ
ejpam-4882	14	24	variable	variable	NOUN
ejpam-4882	14	25	.	.	PUNCT
ejpam-4882	15	1	eva	eva	PROPN
ejpam-4882	15	2	finds	find	VERB
ejpam-4882	15	3	broad	broad	ADJ
ejpam-4882	15	4	application	application	NOUN
ejpam-4882	15	5	in	in	ADP
ejpam-4882	15	6	various	various	ADJ
ejpam-4882	15	7	fields	field	NOUN
ejpam-4882	15	8	,	,	PUNCT
ejpam-4882	15	9	including	include	VERB
ejpam-4882	15	10	meteorology	meteorology	NOUN
ejpam-4882	15	11	,	,	PUNCT
ejpam-4882	15	12	structural	structural	ADJ
ejpam-4882	15	13	engineering	engineering	NOUN
ejpam-4882	15	14	,	,	PUNCT
ejpam-4882	15	15	earth	earth	NOUN
ejpam-4882	15	16	sciences	science	NOUN
ejpam-4882	15	17	,	,	PUNCT
ejpam-4882	15	18	traffic	traffic	NOUN
ejpam-4882	15	19	forecasting	forecasting	NOUN
ejpam-4882	15	20	,	,	PUNCT
ejpam-4882	15	21	geological	geological	ADJ
ejpam-4882	15	22	engineering	engineering	NOUN
ejpam-4882	15	23	,	,	PUNCT
ejpam-4882	15	24	telecommunications	telecommunication	NOUN
ejpam-4882	15	25	,	,	PUNCT
ejpam-4882	15	26	∗corresponding	∗corresponde	VERB
ejpam-4882	15	27	author	author	NOUN
ejpam-4882	15	28	.	.	PUNCT
ejpam-4882	16	1	doi	doi	NOUN
ejpam-4882	16	2	:	:	PUNCT
ejpam-4882	16	3	https://doi.org/10.29020/nybg.ejpam.v16i4.4862	https://doi.org/10.29020/nybg.ejpam.v16i4.4862	NOUN
ejpam-4882	16	4	email	email	NOUN
ejpam-4882	16	5	addresses	address	NOUN
ejpam-4882	16	6	:	:	PUNCT
ejpam-4882	16	7	pk	pk	NOUN
ejpam-4882	16	8	g@rmutl.ac.th	g@rmutl.ac.th	PROPN
ejpam-4882	16	9	(	(	PUNCT
ejpam-4882	16	10	p.	p.	NOUN
ejpam-4882	16	11	khamrot	khamrot	PROPN
ejpam-4882	16	12	)	)	PUNCT
ejpam-4882	16	13	,	,	PUNCT
ejpam-4882	16	14	natthinee@psru.ac.th	natthinee@psru.ac.th	PROPN
ejpam-4882	16	15	(	(	PUNCT
ejpam-4882	16	16	n.	n.	PROPN
ejpam-4882	16	17	deetae	deetae	PROPN
ejpam-4882	16	18	)	)	PUNCT
ejpam-4882	16	19	https://www.ejpam.com	https://www.ejpam.com	NOUN
ejpam-4882	16	20	2461	2461	NUM
ejpam-4882	16	21	©	©	PROPN
ejpam-4882	16	22	2023	2023	NUM
ejpam-4882	16	23	ejpam	ejpam	NOUN
ejpam-4882	16	24	all	all	DET
ejpam-4882	16	25	rights	right	NOUN
ejpam-4882	16	26	reserved	reserve	VERB
ejpam-4882	16	27	.	.	PUNCT
ejpam-4882	17	1	p.	p.	NOUN
ejpam-4882	17	2	khamrot	khamrot	PROPN
ejpam-4882	17	3	,	,	PUNCT
ejpam-4882	17	4	n.	n.	PROPN
ejpam-4882	17	5	deetae	deetae	PROPN
ejpam-4882	17	6	/	/	SYM
ejpam-4882	17	7	eur	eur	PROPN
ejpam-4882	17	8	.	.	PUNCT
ejpam-4882	18	1	j.	j.	PROPN
ejpam-4882	18	2	pure	pure	PROPN
ejpam-4882	18	3	appl	appl	PROPN
ejpam-4882	18	4	.	.	PROPN
ejpam-4882	18	5	math	math	PROPN
ejpam-4882	18	6	,	,	PUNCT
ejpam-4882	18	7	16	16	NUM
ejpam-4882	18	8	(	(	PUNCT
ejpam-4882	18	9	4	4	NUM
ejpam-4882	18	10	)	)	PUNCT
ejpam-4882	18	11	(	(	PUNCT
ejpam-4882	18	12	2023	2023	NUM
ejpam-4882	18	13	)	)	PUNCT
ejpam-4882	18	14	,	,	PUNCT
ejpam-4882	18	15	2461	2461	NUM
ejpam-4882	18	16	-	-	SYM
ejpam-4882	18	17	2475	2475	NUM
ejpam-4882	18	18	2462	2462	NUM
ejpam-4882	18	19	risk	risk	NOUN
ejpam-4882	18	20	management	management	NOUN
ejpam-4882	18	21	,	,	PUNCT
ejpam-4882	18	22	finance	finance	NOUN
ejpam-4882	18	23	,	,	PUNCT
ejpam-4882	18	24	insurance	insurance	NOUN
ejpam-4882	18	25	,	,	PUNCT
ejpam-4882	18	26	economics	economic	NOUN
ejpam-4882	18	27	,	,	PUNCT
ejpam-4882	18	28	and	and	CCONJ
ejpam-4882	18	29	hydrology	hydrology	NOUN
ejpam-4882	18	30	.	.	PUNCT
ejpam-4882	19	1	eva	eva	NOUN
ejpam-4882	19	2	involves	involve	VERB
ejpam-4882	19	3	estimating	estimate	VERB
ejpam-4882	19	4	parameters	parameter	NOUN
ejpam-4882	19	5	from	from	ADP
ejpam-4882	19	6	extreme	extreme	ADJ
ejpam-4882	19	7	value	value	NOUN
ejpam-4882	19	8	(	(	PUNCT
ejpam-4882	19	9	ev	ev	INTJ
ejpam-4882	19	10	)	)	PUNCT
ejpam-4882	19	11	distributions	distribution	NOUN
ejpam-4882	19	12	,	,	PUNCT
ejpam-4882	19	13	commonly	commonly	ADV
ejpam-4882	19	14	regarded	regard	VERB
ejpam-4882	19	15	as	as	ADP
ejpam-4882	19	16	boundary	boundary	ADJ
ejpam-4882	19	17	distributions	distribution	NOUN
ejpam-4882	19	18	for	for	ADP
ejpam-4882	19	19	the	the	DET
ejpam-4882	19	20	highest	high	ADJ
ejpam-4882	19	21	or	or	CCONJ
ejpam-4882	19	22	lowest	low	ADJ
ejpam-4882	19	23	values	value	NOUN
ejpam-4882	19	24	of	of	ADP
ejpam-4882	19	25	independent	independent	ADJ
ejpam-4882	19	26	and	and	CCONJ
ejpam-4882	19	27	identically	identically	ADV
ejpam-4882	19	28	distributed	distribute	VERB
ejpam-4882	19	29	random	random	ADJ
ejpam-4882	19	30	variables	variable	NOUN
ejpam-4882	19	31	as	as	SCONJ
ejpam-4882	19	32	the	the	DET
ejpam-4882	19	33	sample	sample	NOUN
ejpam-4882	19	34	size	size	NOUN
ejpam-4882	19	35	grows	grow	VERB
ejpam-4882	19	36	.	.	PUNCT
ejpam-4882	20	1	these	these	DET
ejpam-4882	20	2	estimates	estimate	NOUN
ejpam-4882	20	3	are	be	AUX
ejpam-4882	20	4	derived	derive	VERB
ejpam-4882	20	5	from	from	ADP
ejpam-4882	20	6	available	available	ADJ
ejpam-4882	20	7	historical	historical	ADJ
ejpam-4882	20	8	data	datum	NOUN
ejpam-4882	20	9	.	.	PUNCT
ejpam-4882	21	1	the	the	DET
ejpam-4882	21	2	practical	practical	ADJ
ejpam-4882	21	3	application	application	NOUN
ejpam-4882	21	4	of	of	ADP
ejpam-4882	21	5	eva	eva	NOUN
ejpam-4882	21	6	can	can	AUX
ejpam-4882	21	7	be	be	AUX
ejpam-4882	21	8	seen	see	VERB
ejpam-4882	21	9	in	in	ADP
ejpam-4882	21	10	numerous	numerous	ADJ
ejpam-4882	21	11	studies	study	NOUN
ejpam-4882	21	12	on	on	ADP
ejpam-4882	21	13	real	real	ADJ
ejpam-4882	21	14	-	-	PUNCT
ejpam-4882	21	15	world	world	NOUN
ejpam-4882	21	16	data	datum	NOUN
ejpam-4882	21	17	.	.	PUNCT
ejpam-4882	22	1	[	[	X
ejpam-4882	22	2	1	1	NUM
ejpam-4882	22	3	,	,	PUNCT
ejpam-4882	22	4	2	2	NUM
ejpam-4882	22	5	,	,	PUNCT
ejpam-4882	22	6	4–7	4–7	NOUN
ejpam-4882	22	7	,	,	PUNCT
ejpam-4882	22	8	9	9	NUM
ejpam-4882	22	9	,	,	PUNCT
ejpam-4882	22	10	10	10	NUM
ejpam-4882	22	11	,	,	PUNCT
ejpam-4882	22	12	12	12	NUM
ejpam-4882	22	13	,	,	PUNCT
ejpam-4882	22	14	13	13	NUM
ejpam-4882	22	15	,	,	PUNCT
ejpam-4882	22	16	16	16	NUM
ejpam-4882	22	17	,	,	PUNCT
ejpam-4882	22	18	18	18	NUM
ejpam-4882	22	19	,	,	PUNCT
ejpam-4882	22	20	19	19	NUM
ejpam-4882	22	21	]	]	PUNCT
ejpam-4882	22	22	.	.	PUNCT
ejpam-4882	23	1	a	a	DET
ejpam-4882	23	2	random	random	ADJ
ejpam-4882	23	3	variable	variable	NOUN
ejpam-4882	23	4	x	x	PRON
ejpam-4882	23	5	follows	follow	VERB
ejpam-4882	23	6	the	the	DET
ejpam-4882	23	7	generalized	generalized	ADJ
ejpam-4882	23	8	extreme	extreme	ADJ
ejpam-4882	23	9	value	value	NOUN
ejpam-4882	23	10	(	(	PUNCT
ejpam-4882	23	11	gev	gev	NOUN
ejpam-4882	23	12	)	)	PUNCT
ejpam-4882	23	13	distribution	distribution	NOUN
ejpam-4882	23	14	,	,	PUNCT
ejpam-4882	23	15	gev	gev	NOUN
ejpam-4882	23	16	(	(	PUNCT
ejpam-4882	23	17	x;µ	x;µ	PROPN
ejpam-4882	23	18	,	,	PUNCT
ejpam-4882	23	19	σ	σ	PROPN
ejpam-4882	23	20	,	,	PUNCT
ejpam-4882	23	21	ξ	ξ	PROPN
ejpam-4882	23	22	)	)	PUNCT
ejpam-4882	23	23	,	,	PUNCT
ejpam-4882	23	24	if	if	SCONJ
ejpam-4882	23	25	its	its	PRON
ejpam-4882	23	26	cumulative	cumulative	ADJ
ejpam-4882	23	27	distribution	distribution	NOUN
ejpam-4882	23	28	function	function	NOUN
ejpam-4882	23	29	(	(	PUNCT
ejpam-4882	23	30	cdf	cdf	PROPN
ejpam-4882	23	31	)	)	PUNCT
ejpam-4882	23	32	is	be	AUX
ejpam-4882	23	33	given	give	VERB
ejpam-4882	23	34	by	by	ADP
ejpam-4882	23	35	gev	gev	NOUN
ejpam-4882	23	36	(	(	PUNCT
ejpam-4882	23	37	x;µ	x;µ	PROPN
ejpam-4882	23	38	,	,	PUNCT
ejpam-4882	23	39	σ	σ	PROPN
ejpam-4882	23	40	,	,	PUNCT
ejpam-4882	23	41	ξ	ξ	PROPN
ejpam-4882	23	42	)	)	PUNCT
ejpam-4882	23	43	=	=	SYM
ejpam-4882	23	44	{	{	PUNCT
ejpam-4882	23	45	exp{−[1	exp{−[1	NOUN
ejpam-4882	23	46	+	+	CCONJ
ejpam-4882	23	47	ξ(x−	ξ(x−	PROPN
ejpam-4882	23	48	µ)/σ]−1	µ)/σ]−1	ADP
ejpam-4882	23	49	/	/	SYM
ejpam-4882	23	50	ξ	ξ	NOUN
ejpam-4882	23	51	}	}	PUNCT
ejpam-4882	23	52	,	,	PUNCT
ejpam-4882	23	53	ξ	ξ	PROPN
ejpam-4882	23	54	̸=	̸=	PROPN
ejpam-4882	23	55	0	0	NUM
ejpam-4882	23	56	,	,	PUNCT
ejpam-4882	23	57	exp{−	exp{−	VERB
ejpam-4882	23	58	exp[−(x−	exp[−(x−	ADJ
ejpam-4882	23	59	µ)/σ	µ)/σ	PROPN
ejpam-4882	23	60	]	]	PUNCT
ejpam-4882	23	61	}	}	PUNCT
ejpam-4882	23	62	,	,	PUNCT
ejpam-4882	23	63	ξ	ξ	PROPN
ejpam-4882	23	64	→	→	SYM
ejpam-4882	23	65	0	0	NUM
ejpam-4882	23	66	,	,	PUNCT
ejpam-4882	23	67	(	(	PUNCT
ejpam-4882	23	68	1	1	X
ejpam-4882	23	69	)	)	PUNCT
ejpam-4882	23	70	which	which	PRON
ejpam-4882	23	71	is	be	AUX
ejpam-4882	23	72	defined	define	VERB
ejpam-4882	23	73	in	in	ADP
ejpam-4882	23	74	the	the	DET
ejpam-4882	23	75	set	set	NOUN
ejpam-4882	23	76	{	{	PUNCT
ejpam-4882	23	77	x	x	NOUN
ejpam-4882	23	78	:	:	PUNCT
ejpam-4882	23	79	1	1	NUM
ejpam-4882	23	80	+	+	NUM
ejpam-4882	23	81	ξ(x	ξ(x	NOUN
ejpam-4882	23	82	−	−	NOUN
ejpam-4882	23	83	µ)/σ	µ)/σ	NOUN
ejpam-4882	23	84	>	>	X
ejpam-4882	23	85	0	0	NUM
ejpam-4882	23	86	}	}	PUNCT
ejpam-4882	23	87	,	,	PUNCT
ejpam-4882	23	88	where	where	SCONJ
ejpam-4882	23	89	µ	µ	X
ejpam-4882	23	90	∈	∈	NOUN
ejpam-4882	23	91	r	r	NOUN
ejpam-4882	23	92	is	be	AUX
ejpam-4882	23	93	a	a	DET
ejpam-4882	23	94	location	location	NOUN
ejpam-4882	23	95	parameter	parameter	NOUN
ejpam-4882	23	96	,	,	PUNCT
ejpam-4882	23	97	σ	σ	X
ejpam-4882	23	98	>	>	X
ejpam-4882	23	99	0	0	NUM
ejpam-4882	23	100	is	be	AUX
ejpam-4882	23	101	a	a	DET
ejpam-4882	23	102	scale	scale	NOUN
ejpam-4882	23	103	parameter	parameter	NOUN
ejpam-4882	23	104	and	and	CCONJ
ejpam-4882	23	105	ξ	ξ	PROPN
ejpam-4882	23	106	∈	∈	NOUN
ejpam-4882	23	107	r	r	NOUN
ejpam-4882	23	108	is	be	AUX
ejpam-4882	23	109	a	a	DET
ejpam-4882	23	110	shape	shape	NOUN
ejpam-4882	23	111	parameter	parameter	NOUN
ejpam-4882	23	112	.	.	PUNCT
ejpam-4882	24	1	the	the	DET
ejpam-4882	24	2	condition	condition	NOUN
ejpam-4882	24	3	for	for	ADP
ejpam-4882	24	4	a	a	DET
ejpam-4882	24	5	distribution	distribution	NOUN
ejpam-4882	24	6	possessing	possess	VERB
ejpam-4882	24	7	any	any	PRON
ejpam-4882	24	8	of	of	ADP
ejpam-4882	24	9	the	the	DET
ejpam-4882	24	10	extreme	extreme	ADJ
ejpam-4882	24	11	value	value	NOUN
ejpam-4882	24	12	distributions	distribution	NOUN
ejpam-4882	24	13	is	be	AUX
ejpam-4882	24	14	given	give	VERB
ejpam-4882	24	15	as	as	SCONJ
ejpam-4882	24	16	follows	follow	VERB
ejpam-4882	24	17	:	:	PUNCT
ejpam-4882	24	18	ξ	ξ	X
ejpam-4882	24	19	=	=	SYM
ejpam-4882	24	20	0	0	NUM
ejpam-4882	24	21	for	for	ADP
ejpam-4882	24	22	gumbel	gumbel	PROPN
ejpam-4882	24	23	distribution	distribution	NOUN
ejpam-4882	24	24	,	,	PUNCT
ejpam-4882	24	25	ξ	ξ	X
ejpam-4882	24	26	>	>	X
ejpam-4882	24	27	0	0	PUNCT
ejpam-4882	24	28	for	for	ADP
ejpam-4882	24	29	fréchet	fréchet	VERB
ejpam-4882	24	30	distribution	distribution	NOUN
ejpam-4882	24	31	and	and	CCONJ
ejpam-4882	24	32	ξ	ξ	X
ejpam-4882	24	33	<	<	X
ejpam-4882	24	34	0	0	NUM
ejpam-4882	24	35	for	for	ADP
ejpam-4882	24	36	weibull	weibull	NOUN
ejpam-4882	24	37	distribution	distribution	NOUN
ejpam-4882	24	38	.	.	PUNCT
ejpam-4882	25	1	the	the	DET
ejpam-4882	25	2	corresponding	corresponding	ADJ
ejpam-4882	25	3	probability	probability	NOUN
ejpam-4882	25	4	density	density	NOUN
ejpam-4882	25	5	function	function	NOUN
ejpam-4882	25	6	(	(	PUNCT
ejpam-4882	25	7	pdf	pdf	NOUN
ejpam-4882	25	8	)	)	PUNCT
ejpam-4882	25	9	of	of	ADP
ejpam-4882	25	10	gev	gev	PROPN
ejpam-4882	25	11	,	,	PUNCT
ejpam-4882	25	12	gev(x;µ	gev(x;µ	PROPN
ejpam-4882	25	13	,	,	PUNCT
ejpam-4882	25	14	σ	σ	PROPN
ejpam-4882	25	15	,	,	PUNCT
ejpam-4882	25	16	ξ	ξ	PROPN
ejpam-4882	25	17	)	)	PUNCT
ejpam-4882	25	18	,	,	PUNCT
ejpam-4882	25	19	is	be	AUX
ejpam-4882	25	20	then	then	ADV
ejpam-4882	25	21	obtained	obtain	VERB
ejpam-4882	25	22	as	as	ADP
ejpam-4882	25	23	gev(x;µ	gev(x;µ	PROPN
ejpam-4882	25	24	,	,	PUNCT
ejpam-4882	25	25	σ	σ	PROPN
ejpam-4882	25	26	,	,	PUNCT
ejpam-4882	25	27	ξ	ξ	PROPN
ejpam-4882	25	28	)	)	PUNCT
ejpam-4882	25	29	=	=	PRON
ejpam-4882	25	30	{	{	PUNCT
ejpam-4882	25	31	σ−1[1	σ−1[1	PROPN
ejpam-4882	25	32	+	+	CCONJ
ejpam-4882	25	33	ξ(x−	ξ(x−	PROPN
ejpam-4882	25	34	µ)/σ]−(1	µ)/σ]−(1	NUM
ejpam-4882	25	35	/	/	SYM
ejpam-4882	25	36	ξ)−1	ξ)−1	NOUN
ejpam-4882	25	37	exp{−[1	exp{−[1	NOUN
ejpam-4882	25	38	+	+	CCONJ
ejpam-4882	25	39	ξ(x−	ξ(x−	PROPN
ejpam-4882	25	40	µ)/σ]−1	µ)/σ]−1	ADP
ejpam-4882	25	41	/	/	SYM
ejpam-4882	25	42	ξ	ξ	NOUN
ejpam-4882	25	43	}	}	PUNCT
ejpam-4882	25	44	,	,	PUNCT
ejpam-4882	25	45	ξ	ξ	PROPN
ejpam-4882	25	46	̸=	̸=	PROPN
ejpam-4882	25	47	0	0	NUM
ejpam-4882	25	48	,	,	PUNCT
ejpam-4882	25	49	σ−1	σ−1	PROPN
ejpam-4882	25	50	exp[−(x−	exp[−(x−	ADJ
ejpam-4882	25	51	µ)/σ	µ)/σ	PROPN
ejpam-4882	25	52	]	]	PUNCT
ejpam-4882	25	53	exp{−	exp{−	PUNCT
ejpam-4882	25	54	exp[−(x−	exp[−(x−	ADJ
ejpam-4882	25	55	µ)/σ	µ)/σ	PROPN
ejpam-4882	25	56	]	]	PUNCT
ejpam-4882	25	57	}	}	PUNCT
ejpam-4882	25	58	,	,	PUNCT
ejpam-4882	25	59	ξ	ξ	PROPN
ejpam-4882	25	60	→	→	SYM
ejpam-4882	25	61	0	0	NUM
ejpam-4882	25	62	.	.	PUNCT
ejpam-4882	26	1	(	(	PUNCT
ejpam-4882	26	2	2	2	X
ejpam-4882	26	3	)	)	PUNCT
ejpam-4882	26	4	the	the	DET
ejpam-4882	26	5	estimates	estimate	NOUN
ejpam-4882	26	6	of	of	ADP
ejpam-4882	26	7	extreme	extreme	ADJ
ejpam-4882	26	8	quantiles	quantile	NOUN
ejpam-4882	26	9	zgev	zgev	VERB
ejpam-4882	26	10	u	u	NOUN
ejpam-4882	26	11	of	of	ADP
ejpam-4882	26	12	the	the	DET
ejpam-4882	26	13	maximum	maximum	ADJ
ejpam-4882	26	14	distribution	distribution	NOUN
ejpam-4882	26	15	,	,	PUNCT
ejpam-4882	26	16	known	know	VERB
ejpam-4882	26	17	as	as	ADP
ejpam-4882	26	18	return	return	NOUN
ejpam-4882	26	19	level	level	NOUN
ejpam-4882	26	20	,	,	PUNCT
ejpam-4882	26	21	are	be	AUX
ejpam-4882	26	22	then	then	ADV
ejpam-4882	26	23	obtained	obtain	VERB
ejpam-4882	26	24	by	by	ADP
ejpam-4882	26	25	inverting	invert	VERB
ejpam-4882	26	26	gev	gev	NOUN
ejpam-4882	26	27	(	(	PUNCT
ejpam-4882	26	28	x;µ	x;µ	PROPN
ejpam-4882	26	29	,	,	PUNCT
ejpam-4882	26	30	σ	σ	PROPN
ejpam-4882	26	31	,	,	PUNCT
ejpam-4882	26	32	ξ	ξ	PROPN
ejpam-4882	26	33	)	)	PUNCT
ejpam-4882	26	34	,	,	PUNCT
ejpam-4882	26	35	zgev	zgev	VERB
ejpam-4882	26	36	u	u	NOUN
ejpam-4882	27	1	=	=	PROPN
ejpam-4882	27	2	µ+	µ+	PROPN
ejpam-4882	27	3	σ	σ	X
ejpam-4882	27	4	ξ	ξ	X
ejpam-4882	27	5	{	{	PUNCT
ejpam-4882	27	6	[	[	X
ejpam-4882	27	7	−	−	X
ejpam-4882	27	8	log(u)−ξ	log(u)−ξ	NOUN
ejpam-4882	27	9	−	−	PROPN
ejpam-4882	27	10	1	1	NUM
ejpam-4882	27	11	]	]	PUNCT
ejpam-4882	27	12	}	}	PUNCT
ejpam-4882	27	13	,	,	PUNCT
ejpam-4882	27	14	ξ	ξ	PROPN
ejpam-4882	27	15	̸=	̸=	PROPN
ejpam-4882	27	16	0	0	NUM
ejpam-4882	27	17	,	,	PUNCT
ejpam-4882	27	18	µ−	µ−	PROPN
ejpam-4882	27	19	σ	σ	PROPN
ejpam-4882	27	20	log[−	log[−	X
ejpam-4882	27	21	log(u	log(u	PROPN
ejpam-4882	27	22	)	)	PUNCT
ejpam-4882	27	23	]	]	PUNCT
ejpam-4882	27	24	,	,	PUNCT
ejpam-4882	27	25	ξ	ξ	PROPN
ejpam-4882	27	26	→	→	SYM
ejpam-4882	27	27	0	0	NUM
ejpam-4882	27	28	,	,	PUNCT
ejpam-4882	27	29	(	(	PUNCT
ejpam-4882	27	30	3	3	X
ejpam-4882	27	31	)	)	PUNCT
ejpam-4882	27	32	where	where	SCONJ
ejpam-4882	27	33	u	u	PROPN
ejpam-4882	27	34	∈	∈	PROPN
ejpam-4882	28	1	[	[	X
ejpam-4882	28	2	0	0	NUM
ejpam-4882	28	3	,	,	PUNCT
ejpam-4882	28	4	1	1	NUM
ejpam-4882	28	5	]	]	PUNCT
ejpam-4882	28	6	,	,	PUNCT
ejpam-4882	28	7	u	u	NOUN
ejpam-4882	28	8	=	=	PROPN
ejpam-4882	28	9	1−	1−	NUM
ejpam-4882	28	10	t−1	t−1	PROPN
ejpam-4882	28	11	,	,	PUNCT
ejpam-4882	28	12	and	and	CCONJ
ejpam-4882	28	13	t	t	PROPN
ejpam-4882	28	14	is	be	AUX
ejpam-4882	28	15	the	the	DET
ejpam-4882	28	16	number	number	NOUN
ejpam-4882	28	17	of	of	ADP
ejpam-4882	28	18	recurrent	recurrent	ADJ
ejpam-4882	28	19	times	time	NOUN
ejpam-4882	28	20	.	.	PUNCT
ejpam-4882	29	1	in	in	ADP
ejpam-4882	29	2	contemporary	contemporary	ADJ
ejpam-4882	29	3	research	research	NOUN
ejpam-4882	29	4	,	,	PUNCT
ejpam-4882	29	5	there	there	PRON
ejpam-4882	29	6	is	be	VERB
ejpam-4882	29	7	a	a	DET
ejpam-4882	29	8	growing	grow	VERB
ejpam-4882	29	9	interest	interest	NOUN
ejpam-4882	29	10	in	in	ADP
ejpam-4882	29	11	generalized	generalized	ADJ
ejpam-4882	29	12	distributions	distribution	NOUN
ejpam-4882	29	13	.	.	PUNCT
ejpam-4882	30	1	these	these	DET
ejpam-4882	30	2	distributions	distribution	NOUN
ejpam-4882	30	3	are	be	AUX
ejpam-4882	30	4	considered	consider	VERB
ejpam-4882	30	5	to	to	PART
ejpam-4882	30	6	be	be	AUX
ejpam-4882	30	7	more	more	ADV
ejpam-4882	30	8	adaptable	adaptable	ADJ
ejpam-4882	30	9	as	as	SCONJ
ejpam-4882	30	10	they	they	PRON
ejpam-4882	30	11	incorporate	incorporate	VERB
ejpam-4882	30	12	one	one	NUM
ejpam-4882	30	13	or	or	CCONJ
ejpam-4882	30	14	more	more	ADV
ejpam-4882	30	15	additional	additional	ADJ
ejpam-4882	30	16	parameters	parameter	NOUN
ejpam-4882	30	17	,	,	PUNCT
ejpam-4882	30	18	typically	typically	ADV
ejpam-4882	30	19	bearing	bear	VERB
ejpam-4882	30	20	a	a	DET
ejpam-4882	30	21	specific	specific	ADJ
ejpam-4882	30	22	relationship	relationship	NOUN
ejpam-4882	30	23	with	with	ADP
ejpam-4882	30	24	other	other	ADJ
ejpam-4882	30	25	distributions	distribution	NOUN
ejpam-4882	30	26	.	.	PUNCT
ejpam-4882	31	1	the	the	DET
ejpam-4882	31	2	method	method	NOUN
ejpam-4882	31	3	of	of	ADP
ejpam-4882	31	4	theoretical	theoretical	ADJ
ejpam-4882	31	5	advancement	advancement	NOUN
ejpam-4882	31	6	often	often	ADV
ejpam-4882	31	7	involves	involve	VERB
ejpam-4882	31	8	generating	generate	VERB
ejpam-4882	31	9	a	a	DET
ejpam-4882	31	10	new	new	ADJ
ejpam-4882	31	11	distribution	distribution	NOUN
ejpam-4882	31	12	derived	derive	VERB
ejpam-4882	31	13	from	from	ADP
ejpam-4882	31	14	a	a	DET
ejpam-4882	31	15	baseline	baseline	NOUN
ejpam-4882	31	16	or	or	CCONJ
ejpam-4882	31	17	existing	exist	VERB
ejpam-4882	31	18	distribution	distribution	NOUN
ejpam-4882	31	19	.	.	PUNCT
ejpam-4882	32	1	this	this	DET
ejpam-4882	32	2	process	process	NOUN
ejpam-4882	32	3	allows	allow	VERB
ejpam-4882	32	4	for	for	ADP
ejpam-4882	32	5	enhanced	enhanced	ADJ
ejpam-4882	32	6	flexibility	flexibility	NOUN
ejpam-4882	32	7	and	and	CCONJ
ejpam-4882	32	8	versatility	versatility	NOUN
ejpam-4882	32	9	in	in	ADP
ejpam-4882	32	10	statistical	statistical	ADJ
ejpam-4882	32	11	modeling	modeling	NOUN
ejpam-4882	32	12	,	,	PUNCT
ejpam-4882	32	13	providing	provide	VERB
ejpam-4882	32	14	a	a	DET
ejpam-4882	32	15	broader	broad	ADJ
ejpam-4882	32	16	scope	scope	NOUN
ejpam-4882	32	17	for	for	SCONJ
ejpam-4882	32	18	researchers	researcher	NOUN
ejpam-4882	32	19	to	to	PART
ejpam-4882	32	20	understand	understand	VERB
ejpam-4882	32	21	and	and	CCONJ
ejpam-4882	32	22	interpret	interpret	VERB
ejpam-4882	32	23	complex	complex	ADJ
ejpam-4882	32	24	data	datum	NOUN
ejpam-4882	32	25	patterns	pattern	NOUN
ejpam-4882	32	26	.	.	PUNCT
ejpam-4882	33	1	in	in	ADP
ejpam-4882	33	2	this	this	DET
ejpam-4882	33	3	study	study	NOUN
ejpam-4882	33	4	,	,	PUNCT
ejpam-4882	33	5	the	the	DET
ejpam-4882	33	6	gev	gev	NOUN
ejpam-4882	33	7	distribution	distribution	NOUN
ejpam-4882	33	8	is	be	AUX
ejpam-4882	33	9	used	use	VERB
ejpam-4882	33	10	as	as	ADP
ejpam-4882	33	11	a	a	DET
ejpam-4882	33	12	baseline	baseline	NOUN
ejpam-4882	33	13	to	to	PART
ejpam-4882	33	14	seek	seek	VERB
ejpam-4882	33	15	for	for	ADP
ejpam-4882	33	16	new	new	ADJ
ejpam-4882	33	17	classes	class	NOUN
ejpam-4882	33	18	of	of	ADP
ejpam-4882	33	19	distribution	distribution	NOUN
ejpam-4882	33	20	to	to	PART
ejpam-4882	33	21	provide	provide	VERB
ejpam-4882	33	22	a	a	DET
ejpam-4882	33	23	better	well	ADJ
ejpam-4882	33	24	fit	fit	NOUN
ejpam-4882	33	25	for	for	ADP
ejpam-4882	33	26	extreme	extreme	ADJ
ejpam-4882	33	27	data	datum	NOUN
ejpam-4882	33	28	.	.	PUNCT
ejpam-4882	34	1	mahdavi	mahdavi	NOUN
ejpam-4882	34	2	and	and	CCONJ
ejpam-4882	34	3	kundu	kundu	NOUN
ejpam-4882	35	1	[	[	X
ejpam-4882	35	2	11	11	NUM
ejpam-4882	35	3	]	]	PUNCT
ejpam-4882	35	4	introduced	introduce	VERB
ejpam-4882	35	5	the	the	DET
ejpam-4882	35	6	alpha	alpha	NOUN
ejpam-4882	35	7	power	power	NOUN
ejpam-4882	35	8	transformation	transformation	NOUN
ejpam-4882	35	9	(	(	PUNCT
ejpam-4882	35	10	apt	apt	ADJ
ejpam-4882	35	11	)	)	PUNCT
ejpam-4882	35	12	method	method	NOUN
ejpam-4882	35	13	,	,	PUNCT
ejpam-4882	35	14	which	which	PRON
ejpam-4882	35	15	is	be	AUX
ejpam-4882	35	16	based	base	VERB
ejpam-4882	35	17	on	on	ADP
ejpam-4882	35	18	adding	add	VERB
ejpam-4882	35	19	a	a	DET
ejpam-4882	35	20	parameter	parameter	NOUN
ejpam-4882	35	21	to	to	ADP
ejpam-4882	35	22	a	a	DET
ejpam-4882	35	23	family	family	NOUN
ejpam-4882	35	24	of	of	ADP
ejpam-4882	35	25	distributions	distribution	NOUN
ejpam-4882	35	26	to	to	PART
ejpam-4882	35	27	improve	improve	VERB
ejpam-4882	35	28	their	their	PRON
ejpam-4882	35	29	flexibility	flexibility	NOUN
ejpam-4882	35	30	.	.	PUNCT
ejpam-4882	36	1	the	the	DET
ejpam-4882	36	2	apt	apt	ADJ
ejpam-4882	36	3	-	-	PUNCT
ejpam-4882	36	4	g	g	NOUN
ejpam-4882	36	5	family	family	NOUN
ejpam-4882	36	6	’s	’s	PART
ejpam-4882	36	7	cumulative	cumulative	ADJ
ejpam-4882	36	8	distribution	distribution	NOUN
ejpam-4882	36	9	function	function	NOUN
ejpam-4882	36	10	(	(	PUNCT
ejpam-4882	36	11	cdf	cdf	PROPN
ejpam-4882	36	12	)	)	PUNCT
ejpam-4882	36	13	is	be	AUX
ejpam-4882	36	14	defined	define	VERB
ejpam-4882	36	15	as	as	SCONJ
ejpam-4882	36	16	follows	follow	VERB
ejpam-4882	36	17	:	:	PUNCT
ejpam-4882	36	18	f	f	X
ejpam-4882	36	19	(	(	PUNCT
ejpam-4882	36	20	x;α	x;α	PROPN
ejpam-4882	36	21	)	)	PUNCT
ejpam-4882	36	22	=	=	PUNCT
ejpam-4882	36	23			PUNCT
ejpam-4882	36	24	αg(x	αg(x	NUM
ejpam-4882	36	25	)	)	PUNCT
ejpam-4882	36	26	−	−	ADP
ejpam-4882	36	27	1	1	NUM
ejpam-4882	36	28	α−	α−	ADP
ejpam-4882	36	29	1	1	NUM
ejpam-4882	36	30	,	,	PUNCT
ejpam-4882	36	31	α	α	PROPN
ejpam-4882	36	32	>	>	X
ejpam-4882	36	33	0	0	PROPN
ejpam-4882	36	34	,	,	PUNCT
ejpam-4882	36	35	α	α	PROPN
ejpam-4882	36	36	̸=	̸=	PROPN
ejpam-4882	36	37	1	1	NUM
ejpam-4882	36	38	g(x	g(x	NOUN
ejpam-4882	36	39	)	)	PUNCT
ejpam-4882	36	40	,	,	PUNCT
ejpam-4882	36	41	α	α	X
ejpam-4882	36	42	>	>	X
ejpam-4882	36	43	0	0	PROPN
ejpam-4882	36	44	,	,	PUNCT
ejpam-4882	36	45	α	α	NOUN
ejpam-4882	36	46	=	=	SYM
ejpam-4882	36	47	1	1	X
ejpam-4882	36	48	.	.	PUNCT
ejpam-4882	37	1	(	(	PUNCT
ejpam-4882	37	2	4	4	X
ejpam-4882	37	3	)	)	PUNCT
ejpam-4882	37	4	p.	p.	NOUN
ejpam-4882	37	5	khamrot	khamrot	PROPN
ejpam-4882	37	6	,	,	PUNCT
ejpam-4882	37	7	n.	n.	PROPN
ejpam-4882	37	8	deetae	deetae	PROPN
ejpam-4882	37	9	/	/	SYM
ejpam-4882	37	10	eur	eur	PROPN
ejpam-4882	37	11	.	.	PUNCT
ejpam-4882	38	1	j.	j.	PROPN
ejpam-4882	38	2	pure	pure	PROPN
ejpam-4882	38	3	appl	appl	PROPN
ejpam-4882	38	4	.	.	PROPN
ejpam-4882	38	5	math	math	PROPN
ejpam-4882	38	6	,	,	PUNCT
ejpam-4882	38	7	16	16	NUM
ejpam-4882	38	8	(	(	PUNCT
ejpam-4882	38	9	4	4	NUM
ejpam-4882	38	10	)	)	PUNCT
ejpam-4882	38	11	(	(	PUNCT
ejpam-4882	38	12	2023	2023	NUM
ejpam-4882	38	13	)	)	PUNCT
ejpam-4882	38	14	,	,	PUNCT
ejpam-4882	38	15	2461	2461	NUM
ejpam-4882	38	16	-	-	SYM
ejpam-4882	38	17	2475	2475	NUM
ejpam-4882	38	18	2463	2463	NUM
ejpam-4882	38	19	the	the	DET
ejpam-4882	38	20	probability	probability	NOUN
ejpam-4882	38	21	density	density	NOUN
ejpam-4882	38	22	function	function	NOUN
ejpam-4882	38	23	related	relate	VERB
ejpam-4882	38	24	to	to	ADP
ejpam-4882	38	25	(	(	PUNCT
ejpam-4882	38	26	4	4	NUM
ejpam-4882	38	27	)	)	PUNCT
ejpam-4882	38	28	is	be	AUX
ejpam-4882	38	29	f(x;α	f(x;α	NOUN
ejpam-4882	38	30	)	)	PUNCT
ejpam-4882	38	31	=	=	PUNCT
ejpam-4882	39	1			PUNCT
ejpam-4882	39	2	logα	logα	NOUN
ejpam-4882	39	3	α−	α−	ADP
ejpam-4882	39	4	1	1	NUM
ejpam-4882	39	5	g(x)αg(x	g(x)αg(x	NOUN
ejpam-4882	39	6	)	)	PUNCT
ejpam-4882	39	7	,	,	PUNCT
ejpam-4882	39	8	α	α	PROPN
ejpam-4882	39	9	>	>	X
ejpam-4882	39	10	0	0	PROPN
ejpam-4882	39	11	,	,	PUNCT
ejpam-4882	39	12	α	α	PROPN
ejpam-4882	39	13	̸=	̸=	PROPN
ejpam-4882	39	14	1	1	NUM
ejpam-4882	39	15	g(x	g(x	NOUN
ejpam-4882	39	16	)	)	PUNCT
ejpam-4882	39	17	,	,	PUNCT
ejpam-4882	39	18	α	α	X
ejpam-4882	39	19	>	>	X
ejpam-4882	39	20	0	0	PROPN
ejpam-4882	39	21	,	,	PUNCT
ejpam-4882	39	22	α	α	NOUN
ejpam-4882	39	23	=	=	SYM
ejpam-4882	39	24	1	1	X
ejpam-4882	39	25	.	.	PUNCT
ejpam-4882	40	1	(	(	PUNCT
ejpam-4882	40	2	5	5	X
ejpam-4882	40	3	)	)	PUNCT
ejpam-4882	40	4	alpha	alpha	NOUN
ejpam-4882	40	5	power	power	NOUN
ejpam-4882	40	6	has	have	AUX
ejpam-4882	40	7	been	be	AUX
ejpam-4882	40	8	applied	apply	VERB
ejpam-4882	40	9	to	to	ADP
ejpam-4882	40	10	various	various	ADJ
ejpam-4882	40	11	distribution	distribution	NOUN
ejpam-4882	40	12	theories	theory	NOUN
ejpam-4882	40	13	.	.	PUNCT
ejpam-4882	41	1	in	in	ADP
ejpam-4882	41	2	2017	2017	NUM
ejpam-4882	41	3	,	,	PUNCT
ejpam-4882	41	4	nassar	nassar	PROPN
ejpam-4882	41	5	et	et	PROPN
ejpam-4882	41	6	al.[15	al.[15	PROPN
ejpam-4882	41	7	]	]	PUNCT
ejpam-4882	41	8	present	present	ADJ
ejpam-4882	41	9	alpha	alpha	NOUN
ejpam-4882	41	10	power	power	NOUN
ejpam-4882	41	11	weibull	weibull	NOUN
ejpam-4882	41	12	distribution	distribution	NOUN
ejpam-4882	41	13	:	:	PUNCT
ejpam-4882	41	14	properties	property	NOUN
ejpam-4882	41	15	and	and	CCONJ
ejpam-4882	41	16	applications	application	NOUN
ejpam-4882	41	17	.	.	PUNCT
ejpam-4882	42	1	which	which	PRON
ejpam-4882	42	2	is	be	AUX
ejpam-4882	42	3	a	a	DET
ejpam-4882	42	4	new	new	ADJ
ejpam-4882	42	5	distribution	distribution	NOUN
ejpam-4882	42	6	,	,	PUNCT
ejpam-4882	42	7	and	and	CCONJ
ejpam-4882	42	8	two	two	NUM
ejpam-4882	42	9	real	real	ADJ
ejpam-4882	42	10	data	datum	NOUN
ejpam-4882	42	11	sets	set	NOUN
ejpam-4882	42	12	are	be	AUX
ejpam-4882	42	13	used	use	VERB
ejpam-4882	42	14	to	to	PART
ejpam-4882	42	15	illustrate	illustrate	VERB
ejpam-4882	42	16	the	the	DET
ejpam-4882	42	17	importance	importance	NOUN
ejpam-4882	42	18	of	of	ADP
ejpam-4882	42	19	the	the	DET
ejpam-4882	42	20	proposed	propose	VERB
ejpam-4882	42	21	distribution	distribution	NOUN
ejpam-4882	42	22	.	.	PUNCT
ejpam-4882	43	1	nadarajah	nadarajah	PROPN
ejpam-4882	43	2	et	et	PROPN
ejpam-4882	43	3	al.[14	al.[14	PROPN
ejpam-4882	43	4	]	]	PUNCT
ejpam-4882	43	5	introduced	introduce	VERB
ejpam-4882	43	6	a	a	DET
ejpam-4882	43	7	novel	novel	ADJ
ejpam-4882	43	8	three	three	NUM
ejpam-4882	43	9	-	-	PUNCT
ejpam-4882	43	10	parameter	parameter	NOUN
ejpam-4882	43	11	distribution	distribution	NOUN
ejpam-4882	43	12	and	and	CCONJ
ejpam-4882	43	13	illustrated	illustrate	VERB
ejpam-4882	43	14	an	an	DET
ejpam-4882	43	15	application	application	NOUN
ejpam-4882	43	16	to	to	ADP
ejpam-4882	43	17	an	an	DET
ejpam-4882	43	18	ozone	ozone	NOUN
ejpam-4882	43	19	data	datum	NOUN
ejpam-4882	43	20	set	set	VERB
ejpam-4882	43	21	.	.	PUNCT
ejpam-4882	44	1	in	in	ADP
ejpam-4882	44	2	2019	2019	NUM
ejpam-4882	44	3	,	,	PUNCT
ejpam-4882	44	4	ihtisham	ihtisham	PROPN
ejpam-4882	44	5	et	et	PROPN
ejpam-4882	44	6	al.[8	al.[8	PROPN
ejpam-4882	44	7	]	]	PUNCT
ejpam-4882	44	8	studied	study	VERB
ejpam-4882	44	9	a	a	DET
ejpam-4882	44	10	new	new	ADJ
ejpam-4882	44	11	distribution	distribution	NOUN
ejpam-4882	44	12	referred	refer	VERB
ejpam-4882	44	13	to	to	ADP
ejpam-4882	44	14	as	as	ADP
ejpam-4882	44	15	the	the	DET
ejpam-4882	44	16	alpha	alpha	NOUN
ejpam-4882	44	17	-	-	PUNCT
ejpam-4882	44	18	power	power	NOUN
ejpam-4882	44	19	pareto	pareto	ADJ
ejpam-4882	44	20	distribution	distribution	NOUN
ejpam-4882	44	21	,	,	PUNCT
ejpam-4882	44	22	which	which	PRON
ejpam-4882	44	23	is	be	AUX
ejpam-4882	44	24	an	an	DET
ejpam-4882	44	25	extra	extra	ADJ
ejpam-4882	44	26	parameter	parameter	NOUN
ejpam-4882	44	27	,	,	PUNCT
ejpam-4882	44	28	and	and	CCONJ
ejpam-4882	44	29	two	two	NUM
ejpam-4882	44	30	real	real	ADJ
ejpam-4882	44	31	datasets	dataset	NOUN
ejpam-4882	44	32	have	have	AUX
ejpam-4882	44	33	been	be	AUX
ejpam-4882	44	34	considered	consider	VERB
ejpam-4882	44	35	to	to	PART
ejpam-4882	44	36	examine	examine	VERB
ejpam-4882	44	37	the	the	DET
ejpam-4882	44	38	usefulness	usefulness	NOUN
ejpam-4882	44	39	of	of	ADP
ejpam-4882	44	40	the	the	DET
ejpam-4882	44	41	proposed	propose	VERB
ejpam-4882	44	42	distribution	distribution	NOUN
ejpam-4882	44	43	.	.	PUNCT
ejpam-4882	45	1	in	in	ADP
ejpam-4882	45	2	2022	2022	NUM
ejpam-4882	45	3	,	,	PUNCT
ejpam-4882	45	4	shrahili	shrahili	NOUN
ejpam-4882	45	5	et	et	PROPN
ejpam-4882	45	6	al.[17	al.[17	PROPN
ejpam-4882	45	7	]	]	PUNCT
ejpam-4882	45	8	introduced	introduce	VERB
ejpam-4882	45	9	two	two	NUM
ejpam-4882	45	10	-	-	PUNCT
ejpam-4882	45	11	parameter	parameter	NOUN
ejpam-4882	45	12	alpha	alpha	NOUN
ejpam-4882	45	13	power	power	NOUN
ejpam-4882	45	14	transformed	transform	VERB
ejpam-4882	45	15	moment	moment	NOUN
ejpam-4882	45	16	exponential	exponential	NOUN
ejpam-4882	45	17	(	(	PUNCT
ejpam-4882	45	18	aptme	aptme	ADJ
ejpam-4882	45	19	)	)	PUNCT
ejpam-4882	45	20	distribution	distribution	NOUN
ejpam-4882	45	21	.	.	PUNCT
ejpam-4882	46	1	to	to	PART
ejpam-4882	46	2	examine	examine	VERB
ejpam-4882	46	3	the	the	DET
ejpam-4882	46	4	practical	practical	ADJ
ejpam-4882	46	5	significance	significance	NOUN
ejpam-4882	46	6	of	of	ADP
ejpam-4882	46	7	the	the	DET
ejpam-4882	46	8	aptme	aptme	ADJ
ejpam-4882	46	9	distribution	distribution	NOUN
ejpam-4882	46	10	and	and	CCONJ
ejpam-4882	46	11	real	real	ADJ
ejpam-4882	46	12	-	-	PUNCT
ejpam-4882	46	13	world	world	NOUN
ejpam-4882	46	14	datasets	dataset	NOUN
ejpam-4882	46	15	.	.	PUNCT
ejpam-4882	47	1	the	the	DET
ejpam-4882	47	2	above	above	ADJ
ejpam-4882	47	3	research	research	NOUN
ejpam-4882	47	4	found	find	VERB
ejpam-4882	47	5	that	that	SCONJ
ejpam-4882	47	6	the	the	DET
ejpam-4882	47	7	alpha	alpha	PROPN
ejpam-4882	47	8	power	power	NOUN
ejpam-4882	47	9	method	method	NOUN
ejpam-4882	47	10	was	be	AUX
ejpam-4882	47	11	extended	extend	VERB
ejpam-4882	47	12	in	in	ADP
ejpam-4882	47	13	the	the	DET
ejpam-4882	47	14	distribution	distribution	NOUN
ejpam-4882	47	15	theory	theory	NOUN
ejpam-4882	47	16	to	to	PART
ejpam-4882	47	17	obtain	obtain	VERB
ejpam-4882	47	18	a	a	DET
ejpam-4882	47	19	more	more	ADV
ejpam-4882	47	20	efficient	efficient	ADJ
ejpam-4882	47	21	distribution	distribution	NOUN
ejpam-4882	47	22	.	.	PUNCT
ejpam-4882	48	1	this	this	DET
ejpam-4882	48	2	study	study	NOUN
ejpam-4882	48	3	proposes	propose	VERB
ejpam-4882	48	4	new	new	ADJ
ejpam-4882	48	5	variations	variation	NOUN
ejpam-4882	48	6	of	of	ADP
ejpam-4882	48	7	the	the	DET
ejpam-4882	48	8	gev	gev	NOUN
ejpam-4882	48	9	distribution	distribution	NOUN
ejpam-4882	48	10	,	,	PUNCT
ejpam-4882	48	11	referred	refer	VERB
ejpam-4882	48	12	to	to	ADP
ejpam-4882	48	13	as	as	ADP
ejpam-4882	48	14	the	the	DET
ejpam-4882	48	15	alpha	alpha	NOUN
ejpam-4882	48	16	power	power	NOUN
ejpam-4882	48	17	transformation	transformation	NOUN
ejpam-4882	48	18	generalized	generalize	VERB
ejpam-4882	48	19	extreme	extreme	ADJ
ejpam-4882	48	20	value	value	NOUN
ejpam-4882	48	21	(	(	PUNCT
ejpam-4882	48	22	aptgev	aptgev	NOUN
ejpam-4882	48	23	)	)	PUNCT
ejpam-4882	48	24	distribution	distribution	NOUN
ejpam-4882	48	25	.	.	PUNCT
ejpam-4882	49	1	the	the	DET
ejpam-4882	49	2	application	application	NOUN
ejpam-4882	49	3	of	of	ADP
ejpam-4882	49	4	these	these	DET
ejpam-4882	49	5	proposed	propose	VERB
ejpam-4882	49	6	gev	gev	NOUN
ejpam-4882	49	7	distributions	distribution	NOUN
ejpam-4882	49	8	to	to	ADP
ejpam-4882	49	9	accurate	accurate	ADJ
ejpam-4882	49	10	data	datum	NOUN
ejpam-4882	49	11	appears	appear	VERB
ejpam-4882	49	12	encouraging	encouraging	ADJ
ejpam-4882	49	13	,	,	PUNCT
ejpam-4882	49	14	specifically	specifically	ADV
ejpam-4882	49	15	with	with	ADP
ejpam-4882	49	16	the	the	DET
ejpam-4882	49	17	inclusion	inclusion	NOUN
ejpam-4882	49	18	of	of	ADP
ejpam-4882	49	19	additional	additional	ADJ
ejpam-4882	49	20	shape	shape	NOUN
ejpam-4882	49	21	parameters	parameter	NOUN
ejpam-4882	49	22	.	.	PUNCT
ejpam-4882	50	1	the	the	DET
ejpam-4882	50	2	structure	structure	NOUN
ejpam-4882	50	3	of	of	ADP
ejpam-4882	50	4	this	this	DET
ejpam-4882	50	5	paper	paper	NOUN
ejpam-4882	50	6	is	be	AUX
ejpam-4882	50	7	organized	organize	VERB
ejpam-4882	50	8	as	as	SCONJ
ejpam-4882	50	9	follows	follow	VERB
ejpam-4882	50	10	.	.	PUNCT
ejpam-4882	51	1	initially	initially	ADV
ejpam-4882	51	2	,	,	PUNCT
ejpam-4882	51	3	we	we	PRON
ejpam-4882	51	4	introduce	introduce	VERB
ejpam-4882	51	5	the	the	DET
ejpam-4882	51	6	concept	concept	NOUN
ejpam-4882	51	7	of	of	ADP
ejpam-4882	51	8	an	an	DET
ejpam-4882	51	9	extended	extended	ADJ
ejpam-4882	51	10	distribution	distribution	NOUN
ejpam-4882	51	11	.	.	PUNCT
ejpam-4882	52	1	subsequently	subsequently	ADV
ejpam-4882	52	2	,	,	PUNCT
ejpam-4882	52	3	for	for	ADP
ejpam-4882	52	4	the	the	DET
ejpam-4882	52	5	proposed	propose	VERB
ejpam-4882	52	6	distributions	distribution	NOUN
ejpam-4882	52	7	,	,	PUNCT
ejpam-4882	52	8	we	we	PRON
ejpam-4882	52	9	elaborate	elaborate	VERB
ejpam-4882	52	10	on	on	ADP
ejpam-4882	52	11	the	the	DET
ejpam-4882	52	12	cumulative	cumulative	ADJ
ejpam-4882	52	13	distribution	distribution	NOUN
ejpam-4882	52	14	function	function	NOUN
ejpam-4882	52	15	,	,	PUNCT
ejpam-4882	52	16	probability	probability	NOUN
ejpam-4882	52	17	density	density	NOUN
ejpam-4882	52	18	function	function	NOUN
ejpam-4882	52	19	,	,	PUNCT
ejpam-4882	52	20	and	and	CCONJ
ejpam-4882	52	21	return	return	NOUN
ejpam-4882	52	22	level	level	NOUN
ejpam-4882	52	23	and	and	CCONJ
ejpam-4882	52	24	provide	provide	VERB
ejpam-4882	52	25	a	a	DET
ejpam-4882	52	26	detailed	detailed	ADJ
ejpam-4882	52	27	depiction	depiction	NOUN
ejpam-4882	52	28	of	of	ADP
ejpam-4882	52	29	the	the	DET
ejpam-4882	52	30	maximum	maximum	ADJ
ejpam-4882	52	31	likelihood	likelihood	NOUN
ejpam-4882	52	32	estimates	estimate	NOUN
ejpam-4882	52	33	(	(	PUNCT
ejpam-4882	52	34	mles	mle	NOUN
ejpam-4882	52	35	)	)	PUNCT
ejpam-4882	52	36	of	of	ADP
ejpam-4882	52	37	all	all	DET
ejpam-4882	52	38	parameters	parameter	NOUN
ejpam-4882	52	39	.	.	PUNCT
ejpam-4882	53	1	in	in	ADP
ejpam-4882	53	2	the	the	DET
ejpam-4882	53	3	third	third	ADJ
ejpam-4882	53	4	part	part	NOUN
ejpam-4882	53	5	,	,	PUNCT
ejpam-4882	53	6	we	we	PRON
ejpam-4882	53	7	present	present	VERB
ejpam-4882	53	8	a	a	DET
ejpam-4882	53	9	concise	concise	ADJ
ejpam-4882	53	10	study	study	NOUN
ejpam-4882	53	11	that	that	PRON
ejpam-4882	53	12	uses	use	VERB
ejpam-4882	53	13	monte	monte	PROPN
ejpam-4882	53	14	carlo	carlo	PROPN
ejpam-4882	53	15	simulation	simulation	PROPN
ejpam-4882	53	16	to	to	PART
ejpam-4882	53	17	evaluate	evaluate	VERB
ejpam-4882	53	18	the	the	DET
ejpam-4882	53	19	efficiency	efficiency	NOUN
ejpam-4882	53	20	and	and	CCONJ
ejpam-4882	53	21	consistency	consistency	NOUN
ejpam-4882	53	22	characteristics	characteristic	NOUN
ejpam-4882	53	23	of	of	ADP
ejpam-4882	53	24	the	the	DET
ejpam-4882	53	25	mles	mle	NOUN
ejpam-4882	53	26	for	for	ADP
ejpam-4882	53	27	the	the	DET
ejpam-4882	53	28	parameters	parameter	NOUN
ejpam-4882	53	29	of	of	ADP
ejpam-4882	53	30	the	the	DET
ejpam-4882	53	31	aptgev	aptgev	NOUN
ejpam-4882	53	32	distribution	distribution	NOUN
ejpam-4882	53	33	.	.	PUNCT
ejpam-4882	54	1	in	in	ADP
ejpam-4882	54	2	the	the	DET
ejpam-4882	54	3	fourth	fourth	ADJ
ejpam-4882	54	4	section	section	NOUN
ejpam-4882	54	5	,	,	PUNCT
ejpam-4882	54	6	we	we	PRON
ejpam-4882	54	7	apply	apply	VERB
ejpam-4882	54	8	the	the	DET
ejpam-4882	54	9	proposed	propose	VERB
ejpam-4882	54	10	distributions	distribution	NOUN
ejpam-4882	54	11	to	to	PART
ejpam-4882	54	12	analyze	analyze	VERB
ejpam-4882	54	13	rainfall	rainfall	NOUN
ejpam-4882	54	14	data	datum	NOUN
ejpam-4882	54	15	collected	collect	VERB
ejpam-4882	54	16	from	from	ADP
ejpam-4882	54	17	weather	weather	NOUN
ejpam-4882	54	18	station	station	NOUN
ejpam-4882	54	19	373301	373301	NUM
ejpam-4882	54	20	in	in	ADP
ejpam-4882	54	21	si	si	PROPN
ejpam-4882	54	22	samrong	samrong	PROPN
ejpam-4882	54	23	district	district	PROPN
ejpam-4882	54	24	sukhothai	sukhothai	PROPN
ejpam-4882	54	25	province	province	PROPN
ejpam-4882	54	26	,	,	PUNCT
ejpam-4882	54	27	thailand	thailand	PROPN
ejpam-4882	54	28	,	,	PUNCT
ejpam-4882	54	29	from	from	ADP
ejpam-4882	54	30	1987	1987	NUM
ejpam-4882	54	31	to	to	ADP
ejpam-4882	54	32	2021	2021	NUM
ejpam-4882	54	33	.	.	PUNCT
ejpam-4882	55	1	this	this	DET
ejpam-4882	55	2	analysis	analysis	NOUN
ejpam-4882	55	3	is	be	AUX
ejpam-4882	55	4	followed	follow	VERB
ejpam-4882	55	5	by	by	ADP
ejpam-4882	55	6	a	a	DET
ejpam-4882	55	7	goodness	goodness	NOUN
ejpam-4882	55	8	-	-	PUNCT
ejpam-4882	55	9	of	of	ADP
ejpam-4882	55	10	-	-	PUNCT
ejpam-4882	55	11	fit	fit	NOUN
ejpam-4882	55	12	test	test	NOUN
ejpam-4882	55	13	to	to	PART
ejpam-4882	55	14	verify	verify	VERB
ejpam-4882	55	15	the	the	DET
ejpam-4882	55	16	model	model	NOUN
ejpam-4882	55	17	’s	’s	PART
ejpam-4882	55	18	accuracy	accuracy	NOUN
ejpam-4882	55	19	.	.	PUNCT
ejpam-4882	56	1	the	the	DET
ejpam-4882	56	2	paper	paper	NOUN
ejpam-4882	56	3	concludes	conclude	VERB
ejpam-4882	56	4	with	with	ADP
ejpam-4882	56	5	a	a	DET
ejpam-4882	56	6	summary	summary	NOUN
ejpam-4882	56	7	and	and	CCONJ
ejpam-4882	56	8	interpretation	interpretation	NOUN
ejpam-4882	56	9	of	of	ADP
ejpam-4882	56	10	the	the	DET
ejpam-4882	56	11	results	result	NOUN
ejpam-4882	56	12	obtained	obtain	VERB
ejpam-4882	56	13	from	from	ADP
ejpam-4882	56	14	the	the	DET
ejpam-4882	56	15	study	study	NOUN
ejpam-4882	56	16	2	2	NUM
ejpam-4882	56	17	.	.	PUNCT
ejpam-4882	56	18	methodology	methodology	NOUN
ejpam-4882	56	19	in	in	ADP
ejpam-4882	56	20	this	this	DET
ejpam-4882	56	21	section	section	NOUN
ejpam-4882	56	22	,	,	PUNCT
ejpam-4882	56	23	we	we	PRON
ejpam-4882	56	24	derived	derive	VERB
ejpam-4882	56	25	the	the	DET
ejpam-4882	56	26	forms	form	NOUN
ejpam-4882	56	27	of	of	ADP
ejpam-4882	56	28	the	the	DET
ejpam-4882	56	29	cumulative	cumulative	ADJ
ejpam-4882	56	30	distribution	distribution	NOUN
ejpam-4882	56	31	function	function	NOUN
ejpam-4882	56	32	,	,	PUNCT
ejpam-4882	56	33	probability	probability	NOUN
ejpam-4882	56	34	density	density	NOUN
ejpam-4882	56	35	function	function	NOUN
ejpam-4882	56	36	,	,	PUNCT
ejpam-4882	56	37	and	and	CCONJ
ejpam-4882	56	38	the	the	DET
ejpam-4882	56	39	return	return	NOUN
ejpam-4882	56	40	level	level	NOUN
ejpam-4882	56	41	for	for	ADP
ejpam-4882	56	42	the	the	DET
ejpam-4882	56	43	proposed	propose	VERB
ejpam-4882	56	44	distributions	distribution	NOUN
ejpam-4882	56	45	:	:	PUNCT
ejpam-4882	56	46	alpha	alpha	NOUN
ejpam-4882	56	47	power	power	NOUN
ejpam-4882	56	48	transformation	transformation	NOUN
ejpam-4882	56	49	generalized	generalize	VERB
ejpam-4882	56	50	extreme	extreme	ADJ
ejpam-4882	56	51	value	value	NOUN
ejpam-4882	56	52	distribution	distribution	NOUN
ejpam-4882	56	53	,	,	PUNCT
ejpam-4882	56	54	including	include	VERB
ejpam-4882	56	55	the	the	DET
ejpam-4882	56	56	maximum	maximum	ADJ
ejpam-4882	56	57	likelihood	likelihood	NOUN
ejpam-4882	56	58	estimates	estimate	NOUN
ejpam-4882	56	59	(	(	PUNCT
ejpam-4882	56	60	mles	mle	NOUN
ejpam-4882	56	61	)	)	PUNCT
ejpam-4882	56	62	of	of	ADP
ejpam-4882	56	63	all	all	DET
ejpam-4882	56	64	parameters	parameter	NOUN
ejpam-4882	56	65	and	and	CCONJ
ejpam-4882	56	66	confidence	confidence	NOUN
ejpam-4882	56	67	interval	interval	NOUN
ejpam-4882	56	68	of	of	ADP
ejpam-4882	56	69	return	return	NOUN
ejpam-4882	56	70	level	level	NOUN
ejpam-4882	56	71	.	.	PUNCT
ejpam-4882	57	1	p.	p.	NOUN
ejpam-4882	57	2	khamrot	khamrot	PROPN
ejpam-4882	57	3	,	,	PUNCT
ejpam-4882	57	4	n.	n.	PROPN
ejpam-4882	57	5	deetae	deetae	PROPN
ejpam-4882	57	6	/	/	SYM
ejpam-4882	57	7	eur	eur	PROPN
ejpam-4882	57	8	.	.	PUNCT
ejpam-4882	58	1	j.	j.	PROPN
ejpam-4882	58	2	pure	pure	PROPN
ejpam-4882	58	3	appl	appl	PROPN
ejpam-4882	58	4	.	.	PROPN
ejpam-4882	58	5	math	math	PROPN
ejpam-4882	58	6	,	,	PUNCT
ejpam-4882	58	7	16	16	NUM
ejpam-4882	58	8	(	(	PUNCT
ejpam-4882	58	9	4	4	NUM
ejpam-4882	58	10	)	)	PUNCT
ejpam-4882	58	11	(	(	PUNCT
ejpam-4882	58	12	2023	2023	NUM
ejpam-4882	58	13	)	)	PUNCT
ejpam-4882	58	14	,	,	PUNCT
ejpam-4882	58	15	2461	2461	NUM
ejpam-4882	58	16	-	-	SYM
ejpam-4882	58	17	2475	2475	NUM
ejpam-4882	58	18	2464	2464	NUM
ejpam-4882	58	19	2.1	2.1	NUM
ejpam-4882	58	20	.	.	PUNCT
ejpam-4882	59	1	alpha	alpha	PROPN
ejpam-4882	59	2	power	power	NOUN
ejpam-4882	59	3	transformation	transformation	NOUN
ejpam-4882	59	4	generalized	generalize	VERB
ejpam-4882	59	5	extreme	extreme	ADJ
ejpam-4882	59	6	value	value	NOUN
ejpam-4882	59	7	distribution	distribution	NOUN
ejpam-4882	59	8	a	a	DET
ejpam-4882	59	9	random	random	ADJ
ejpam-4882	59	10	variable	variable	NOUN
ejpam-4882	59	11	x	x	PUNCT
ejpam-4882	59	12	is	be	AUX
ejpam-4882	59	13	said	say	VERB
ejpam-4882	59	14	to	to	PART
ejpam-4882	59	15	have	have	VERB
ejpam-4882	59	16	aptgev	aptgev	NOUN
ejpam-4882	59	17	distribution	distribution	NOUN
ejpam-4882	59	18	,	,	PUNCT
ejpam-4882	59	19	denoted	denote	VERB
ejpam-4882	59	20	by	by	ADP
ejpam-4882	59	21	g(µ	g(µ	PROPN
ejpam-4882	59	22	,	,	PUNCT
ejpam-4882	59	23	σ	σ	PROPN
ejpam-4882	59	24	,	,	PUNCT
ejpam-4882	59	25	ξ	ξ	PROPN
ejpam-4882	59	26	,	,	PUNCT
ejpam-4882	59	27	α	α	NOUN
ejpam-4882	59	28	)	)	PUNCT
ejpam-4882	59	29	,	,	PUNCT
ejpam-4882	59	30	with	with	ADP
ejpam-4882	59	31	location	location	NOUN
ejpam-4882	59	32	parameter	parameter	NOUN
ejpam-4882	59	33	µ	µ	NOUN
ejpam-4882	59	34	,	,	PUNCT
ejpam-4882	59	35	shape	shape	NOUN
ejpam-4882	59	36	parameter	parameter	NOUN
ejpam-4882	59	37	σ	σ	PROPN
ejpam-4882	59	38	,	,	PUNCT
ejpam-4882	59	39	and	and	CCONJ
ejpam-4882	59	40	scale	scale	NOUN
ejpam-4882	59	41	parameter	parameter	NOUN
ejpam-4882	59	42	ξ	ξ	PROPN
ejpam-4882	59	43	,	,	PUNCT
ejpam-4882	59	44	α	α	X
ejpam-4882	59	45	,	,	PUNCT
ejpam-4882	59	46	if	if	SCONJ
ejpam-4882	59	47	the	the	DET
ejpam-4882	59	48	pdf	pdf	NOUN
ejpam-4882	59	49	and	and	CCONJ
ejpam-4882	59	50	cdf	cdf	PROPN
ejpam-4882	59	51	of	of	ADP
ejpam-4882	59	52	x	x	PUNCT
ejpam-4882	59	53	for	for	ADP
ejpam-4882	59	54	x	x	X
ejpam-4882	59	55	≥	≥	NOUN
ejpam-4882	59	56	0	0	NUM
ejpam-4882	59	57	and	and	CCONJ
ejpam-4882	59	58	ξ	ξ	PRON
ejpam-4882	59	59	̸=	̸=	PROPN
ejpam-4882	59	60	0	0	NUM
ejpam-4882	59	61	are	be	AUX
ejpam-4882	59	62	given	give	VERB
ejpam-4882	59	63	by	by	ADP
ejpam-4882	59	64	g(x;µ	g(x;µ	PROPN
ejpam-4882	59	65	,	,	PUNCT
ejpam-4882	59	66	σ	σ	PROPN
ejpam-4882	59	67	,	,	PUNCT
ejpam-4882	59	68	ξ	ξ	PROPN
ejpam-4882	59	69	,	,	PUNCT
ejpam-4882	59	70	α	α	NOUN
ejpam-4882	59	71	)	)	PUNCT
ejpam-4882	59	72	=	=	SYM
ejpam-4882	59	73	αexp{−[1+ξ(x−µ)/σ]−1	αexp{−[1+ξ(x−µ)/σ]−1	X
ejpam-4882	59	74	/	/	SYM
ejpam-4882	59	75	ξ	ξ	PROPN
ejpam-4882	59	76	}	}	PUNCT
ejpam-4882	59	77	−	−	PROPN
ejpam-4882	59	78	1	1	NUM
ejpam-4882	59	79	α−	α−	ADP
ejpam-4882	59	80	1	1	NUM
ejpam-4882	59	81	,	,	PUNCT
ejpam-4882	59	82	α	α	PROPN
ejpam-4882	59	83	>	>	X
ejpam-4882	59	84	0	0	PROPN
ejpam-4882	59	85	,	,	PUNCT
ejpam-4882	59	86	α	α	PRON
ejpam-4882	59	87	̸=	̸=	PROPN
ejpam-4882	59	88	1	1	NUM
ejpam-4882	59	89	exp{−[1	exp{−[1	NOUN
ejpam-4882	59	90	+	+	CCONJ
ejpam-4882	59	91	ξ(x−	ξ(x−	PROPN
ejpam-4882	59	92	µ)/σ]−1	µ)/σ]−1	ADP
ejpam-4882	59	93	/	/	SYM
ejpam-4882	59	94	ξ	ξ	NOUN
ejpam-4882	59	95	}	}	PUNCT
ejpam-4882	59	96	,	,	PUNCT
ejpam-4882	59	97	α	α	PROPN
ejpam-4882	59	98	>	>	X
ejpam-4882	59	99	0	0	PROPN
ejpam-4882	59	100	,	,	PUNCT
ejpam-4882	59	101	α	α	NOUN
ejpam-4882	59	102	=	=	SYM
ejpam-4882	59	103	1	1	X
ejpam-4882	59	104	.	.	PUNCT
ejpam-4882	60	1	(	(	PUNCT
ejpam-4882	60	2	6	6	NUM
ejpam-4882	60	3	)	)	PUNCT
ejpam-4882	60	4	the	the	DET
ejpam-4882	60	5	probability	probability	NOUN
ejpam-4882	60	6	density	density	NOUN
ejpam-4882	60	7	function	function	NOUN
ejpam-4882	60	8	related	relate	VERB
ejpam-4882	60	9	to	to	ADP
ejpam-4882	60	10	(	(	PUNCT
ejpam-4882	60	11	6	6	NUM
ejpam-4882	60	12	)	)	PUNCT
ejpam-4882	60	13	is	be	AUX
ejpam-4882	60	14	g(x;µ	g(x;µ	NOUN
ejpam-4882	60	15	,	,	PUNCT
ejpam-4882	60	16	σ	σ	PROPN
ejpam-4882	60	17	,	,	PUNCT
ejpam-4882	60	18	ξ	ξ	PROPN
ejpam-4882	60	19	,	,	PUNCT
ejpam-4882	60	20	α	α	NOUN
ejpam-4882	60	21	)	)	PUNCT
ejpam-4882	60	22	=	=	SYM
ejpam-4882	61	1			PUNCT
ejpam-4882	61	2	logα	logα	VERB
ejpam-4882	61	3	α−	α−	ADP
ejpam-4882	61	4	1	1	NUM
ejpam-4882	61	5	σ−1[1	σ−1[1	NOUN
ejpam-4882	61	6	+	+	CCONJ
ejpam-4882	61	7	ξ(x−	ξ(x−	PROPN
ejpam-4882	61	8	µ)/σ]−(1	µ)/σ]−(1	NUM
ejpam-4882	61	9	/	/	SYM
ejpam-4882	61	10	ξ)−1	ξ)−1	NOUN
ejpam-4882	61	11	exp{−[1	exp{−[1	NOUN
ejpam-4882	61	12	+	+	CCONJ
ejpam-4882	61	13	ξ(x−	ξ(x−	PROPN
ejpam-4882	61	14	µ)/σ]−1	µ)/σ]−1	ADP
ejpam-4882	61	15	/	/	SYM
ejpam-4882	61	16	ξ}αexp{−[1+ξ(x−µ)/σ]−1	ξ}αexp{−[1+ξ(x−µ)/σ]−1	PROPN
ejpam-4882	61	17	/	/	SYM
ejpam-4882	61	18	ξ	ξ	NOUN
ejpam-4882	61	19	}	}	PUNCT
ejpam-4882	61	20	,	,	PUNCT
ejpam-4882	61	21	α	α	PROPN
ejpam-4882	61	22	>	>	X
ejpam-4882	61	23	0	0	PROPN
ejpam-4882	61	24	,	,	PUNCT
ejpam-4882	61	25	α	α	PROPN
ejpam-4882	61	26	̸=	̸=	PROPN
ejpam-4882	61	27	1	1	NUM
ejpam-4882	61	28	σ−1[1	σ−1[1	NOUN
ejpam-4882	61	29	+	+	CCONJ
ejpam-4882	61	30	ξ(x−	ξ(x−	PROPN
ejpam-4882	61	31	µ)/σ]−(1	µ)/σ]−(1	NUM
ejpam-4882	61	32	/	/	SYM
ejpam-4882	61	33	ξ)−1	ξ)−1	NOUN
ejpam-4882	61	34	exp{−[1	exp{−[1	NOUN
ejpam-4882	61	35	+	+	CCONJ
ejpam-4882	61	36	ξ(x−	ξ(x−	PROPN
ejpam-4882	61	37	µ)/σ]−1	µ)/σ]−1	ADP
ejpam-4882	61	38	/	/	SYM
ejpam-4882	61	39	ξ	ξ	NOUN
ejpam-4882	61	40	}	}	PUNCT
ejpam-4882	61	41	,	,	PUNCT
ejpam-4882	61	42	α	α	PROPN
ejpam-4882	61	43	>	>	X
ejpam-4882	61	44	0	0	PROPN
ejpam-4882	61	45	,	,	PUNCT
ejpam-4882	61	46	α	α	NOUN
ejpam-4882	61	47	=	=	SYM
ejpam-4882	61	48	1	1	NUM
ejpam-4882	61	49	,	,	PUNCT
ejpam-4882	61	50	(	(	PUNCT
ejpam-4882	61	51	7	7	NUM
ejpam-4882	61	52	)	)	PUNCT
ejpam-4882	61	53	and	and	CCONJ
ejpam-4882	61	54	in	in	ADP
ejpam-4882	61	55	this	this	DET
ejpam-4882	61	56	case	case	NOUN
ejpam-4882	61	57	ξ	ξ	X
ejpam-4882	61	58	→	→	SYM
ejpam-4882	61	59	0	0	NUM
ejpam-4882	61	60	,	,	PUNCT
ejpam-4882	61	61	we	we	PRON
ejpam-4882	61	62	have	have	VERB
ejpam-4882	61	63	g(x;µ	g(x;µ	NOUN
ejpam-4882	61	64	,	,	PUNCT
ejpam-4882	61	65	σ	σ	PROPN
ejpam-4882	61	66	,	,	PUNCT
ejpam-4882	61	67	α	α	NOUN
ejpam-4882	61	68	)	)	PUNCT
ejpam-4882	61	69	=	=	PUNCT
ejpam-4882	61	70			PUNCT
ejpam-4882	61	71	αexp{−	αexp{−	NUM
ejpam-4882	61	72	exp[−(x−µ)/σ	exp[−(x−µ)/σ	X
ejpam-4882	61	73	]	]	PUNCT
ejpam-4882	61	74	}	}	PUNCT
ejpam-4882	61	75	−	−	ADP
ejpam-4882	61	76	1	1	NUM
ejpam-4882	61	77	α−	α−	ADP
ejpam-4882	61	78	1	1	NUM
ejpam-4882	61	79	,	,	PUNCT
ejpam-4882	61	80	α	α	PROPN
ejpam-4882	61	81	>	>	X
ejpam-4882	61	82	0	0	PROPN
ejpam-4882	61	83	,	,	PUNCT
ejpam-4882	61	84	α	α	PROPN
ejpam-4882	61	85	̸=	̸=	PROPN
ejpam-4882	61	86	1	1	NUM
ejpam-4882	61	87	exp{−	exp{−	VERB
ejpam-4882	61	88	exp[−(x−	exp[−(x−	ADJ
ejpam-4882	61	89	µ)/σ	µ)/σ	PROPN
ejpam-4882	61	90	]	]	PUNCT
ejpam-4882	61	91	}	}	PUNCT
ejpam-4882	61	92	,	,	PUNCT
ejpam-4882	61	93	α	α	PROPN
ejpam-4882	61	94	>	>	X
ejpam-4882	61	95	0	0	PROPN
ejpam-4882	61	96	,	,	PUNCT
ejpam-4882	61	97	α	α	NOUN
ejpam-4882	61	98	=	=	SYM
ejpam-4882	61	99	1	1	NUM
ejpam-4882	61	100	.	.	PUNCT
ejpam-4882	62	1	(	(	PUNCT
ejpam-4882	62	2	8)	8)	NUM
ejpam-4882	62	3	the	the	DET
ejpam-4882	62	4	probability	probability	NOUN
ejpam-4882	62	5	density	density	NOUN
ejpam-4882	62	6	function	function	NOUN
ejpam-4882	62	7	(	(	PUNCT
ejpam-4882	62	8	pdf	pdf	NOUN
ejpam-4882	62	9	)	)	PUNCT
ejpam-4882	62	10	corresponding	correspond	VERB
ejpam-4882	62	11	to	to	ADP
ejpam-4882	62	12	(	(	PUNCT
ejpam-4882	62	13	8)	8)	NUM
ejpam-4882	62	14	is	be	AUX
ejpam-4882	62	15	given	give	VERB
ejpam-4882	62	16	by	by	ADP
ejpam-4882	62	17	g(x;µ	g(x;µ	PROPN
ejpam-4882	62	18	,	,	PUNCT
ejpam-4882	62	19	σ	σ	PROPN
ejpam-4882	62	20	,	,	PUNCT
ejpam-4882	62	21	α	α	NOUN
ejpam-4882	62	22	)	)	PUNCT
ejpam-4882	62	23	=	=	SYM
ejpam-4882	62	24			PUNCT
ejpam-4882	62	25	logα	logα	VERB
ejpam-4882	62	26	α−	α−	ADP
ejpam-4882	62	27	1	1	NUM
ejpam-4882	62	28	σ−1	σ−1	PROPN
ejpam-4882	62	29	exp[−(x−	exp[−(x−	ADJ
ejpam-4882	62	30	µ)/σ	µ)/σ	NOUN
ejpam-4882	62	31	]	]	PUNCT
ejpam-4882	62	32	exp{−	exp{−	PUNCT
ejpam-4882	62	33	exp[−(x−	exp[−(x−	ADJ
ejpam-4882	62	34	µ)/σ	µ)/σ	PROPN
ejpam-4882	62	35	]	]	SYM
ejpam-4882	62	36	}	}	PUNCT
ejpam-4882	62	37	αexp{−	αexp{−	NUM
ejpam-4882	62	38	exp[−(x−µ)/σ	exp[−(x−µ)/σ	X
ejpam-4882	62	39	]	]	PUNCT
ejpam-4882	62	40	}	}	PUNCT
ejpam-4882	62	41	,	,	PUNCT
ejpam-4882	62	42	α	α	PROPN
ejpam-4882	62	43	>	>	X
ejpam-4882	62	44	0	0	PROPN
ejpam-4882	62	45	,	,	PUNCT
ejpam-4882	62	46	α	α	PROPN
ejpam-4882	62	47	̸=	̸=	PROPN
ejpam-4882	62	48	1	1	NUM
ejpam-4882	62	49	σ−1	σ−1	PROPN
ejpam-4882	62	50	exp[−(x−	exp[−(x−	ADJ
ejpam-4882	62	51	µ)/σ	µ)/σ	NOUN
ejpam-4882	62	52	]	]	PUNCT
ejpam-4882	62	53	exp{−	exp{−	PUNCT
ejpam-4882	62	54	exp[−(x−	exp[−(x−	ADJ
ejpam-4882	62	55	µ)/σ	µ)/σ	PROPN
ejpam-4882	62	56	]	]	PUNCT
ejpam-4882	62	57	}	}	PUNCT
ejpam-4882	62	58	,	,	PUNCT
ejpam-4882	62	59	α	α	PROPN
ejpam-4882	62	60	>	>	X
ejpam-4882	62	61	0	0	PROPN
ejpam-4882	62	62	,	,	PUNCT
ejpam-4882	62	63	α	α	NOUN
ejpam-4882	62	64	=	=	SYM
ejpam-4882	62	65	1	1	X
ejpam-4882	62	66	.	.	PUNCT
ejpam-4882	63	1	(	(	PUNCT
ejpam-4882	63	2	9	9	X
ejpam-4882	63	3	)	)	PUNCT
ejpam-4882	63	4	the	the	DET
ejpam-4882	63	5	aptgev	aptgev	NOUN
ejpam-4882	63	6	distribution	distribution	NOUN
ejpam-4882	63	7	includes	include	VERB
ejpam-4882	63	8	three	three	NUM
ejpam-4882	63	9	types	type	NOUN
ejpam-4882	63	10	of	of	ADP
ejpam-4882	63	11	distribution	distribution	NOUN
ejpam-4882	63	12	as	as	ADP
ejpam-4882	63	13	ξ	ξ	X
ejpam-4882	63	14	=	=	SYM
ejpam-4882	63	15	0	0	NUM
ejpam-4882	63	16	is	be	AUX
ejpam-4882	63	17	alpha	alpha	NOUN
ejpam-4882	63	18	power	power	NOUN
ejpam-4882	63	19	transformation	transformation	NOUN
ejpam-4882	63	20	gumbel	gumbel	NOUN
ejpam-4882	63	21	distribution	distribution	NOUN
ejpam-4882	63	22	(	(	PUNCT
ejpam-4882	63	23	aptgd	aptgd	ADJ
ejpam-4882	63	24	)	)	PUNCT
ejpam-4882	63	25	,	,	PUNCT
ejpam-4882	63	26	ξ	ξ	PROPN
ejpam-4882	63	27	>	>	X
ejpam-4882	63	28	0	0	NUM
ejpam-4882	63	29	is	be	AUX
ejpam-4882	63	30	alpha	alpha	NOUN
ejpam-4882	63	31	power	power	NOUN
ejpam-4882	63	32	transformation	transformation	NOUN
ejpam-4882	63	33	fréchet	fréchet	NOUN
ejpam-4882	63	34	distribution	distribution	NOUN
ejpam-4882	63	35	(	(	PUNCT
ejpam-4882	63	36	aptfd	aptfd	ADJ
ejpam-4882	63	37	)	)	PUNCT
ejpam-4882	63	38	and	and	CCONJ
ejpam-4882	63	39	ξ	ξ	X
ejpam-4882	63	40	<	<	X
ejpam-4882	63	41	0	0	X
ejpam-4882	63	42	is	be	AUX
ejpam-4882	63	43	alpha	alpha	NOUN
ejpam-4882	63	44	power	power	NOUN
ejpam-4882	63	45	transformation	transformation	NOUN
ejpam-4882	63	46	weibull	weibull	NOUN
ejpam-4882	63	47	distribution	distribution	NOUN
ejpam-4882	63	48	(	(	PUNCT
ejpam-4882	63	49	aptwd	aptwd	ADJ
ejpam-4882	63	50	)	)	PUNCT
ejpam-4882	63	51	.	.	PUNCT
ejpam-4882	64	1	plots	plot	NOUN
ejpam-4882	64	2	of	of	ADP
ejpam-4882	64	3	the	the	DET
ejpam-4882	64	4	aptgev	aptgev	NOUN
ejpam-4882	64	5	probability	probability	NOUN
ejpam-4882	64	6	density	density	NOUN
ejpam-4882	64	7	function	function	NOUN
ejpam-4882	64	8	for	for	ADP
ejpam-4882	64	9	specific	specific	ADJ
ejpam-4882	64	10	values	value	NOUN
ejpam-4882	64	11	of	of	ADP
ejpam-4882	64	12	parameters	parameter	NOUN
ejpam-4882	64	13	are	be	AUX
ejpam-4882	64	14	displayed	display	VERB
ejpam-4882	64	15	in	in	ADP
ejpam-4882	64	16	figure	figure	NOUN
ejpam-4882	64	17	1	1	NUM
ejpam-4882	64	18	.	.	PUNCT
ejpam-4882	65	1	the	the	DET
ejpam-4882	65	2	quantile	quantile	ADJ
ejpam-4882	65	3	function	function	NOUN
ejpam-4882	65	4	of	of	ADP
ejpam-4882	65	5	the	the	DET
ejpam-4882	65	6	aptgev	aptgev	NOUN
ejpam-4882	65	7	distribution	distribution	NOUN
ejpam-4882	65	8	for	for	ADP
ejpam-4882	65	9	α	α	PROPN
ejpam-4882	65	10	>	>	X
ejpam-4882	65	11	0	0	PROPN
ejpam-4882	65	12	,	,	PUNCT
ejpam-4882	65	13	α	α	PRON
ejpam-4882	65	14	̸=	̸=	PROPN
ejpam-4882	65	15	1	1	NUM
ejpam-4882	65	16	is	be	AUX
ejpam-4882	65	17	xp	xp	INTJ
ejpam-4882	65	18	=	=	SYM
ejpam-4882	65	19	µ+	µ+	PROPN
ejpam-4882	65	20	σ	σ	X
ejpam-4882	65	21	ξ	ξ	PROPN
ejpam-4882	65	22	(	(	PUNCT
ejpam-4882	65	23	(	(	PUNCT
ejpam-4882	65	24	log(log(α))−	log(log(α))−	ADJ
ejpam-4882	65	25	log(log(p(α−	log(log(p(α−	NOUN
ejpam-4882	65	26	1	1	X
ejpam-4882	65	27	)	)	PUNCT
ejpam-4882	65	28	+	+	CCONJ
ejpam-4882	65	29	1)))−ξ	1)))−ξ	NUM
ejpam-4882	65	30	−	−	NUM
ejpam-4882	65	31	1	1	NUM
ejpam-4882	65	32	)	)	PUNCT
ejpam-4882	65	33	,	,	PUNCT
ejpam-4882	65	34	ξ	ξ	PROPN
ejpam-4882	65	35	̸=	̸=	PROPN
ejpam-4882	65	36	0	0	NUM
ejpam-4882	65	37	µ−	µ−	PROPN
ejpam-4882	65	38	σ	σ	NUM
ejpam-4882	65	39	log(log(log(α))−	log(log(log(α))−	PROPN
ejpam-4882	65	40	log(log(p(α−	log(log(p(α−	NOUN
ejpam-4882	65	41	1	1	NUM
ejpam-4882	65	42	)	)	PUNCT
ejpam-4882	65	43	+	+	CCONJ
ejpam-4882	65	44	1	1	NUM
ejpam-4882	65	45	)	)	PUNCT
ejpam-4882	65	46	)	)	PUNCT
ejpam-4882	65	47	)	)	PUNCT
ejpam-4882	65	48	,	,	PUNCT
ejpam-4882	65	49	ξ	ξ	PROPN
ejpam-4882	65	50	→	→	SYM
ejpam-4882	65	51	0	0	NUM
ejpam-4882	65	52	.	.	PUNCT
ejpam-4882	66	1	(	(	PUNCT
ejpam-4882	66	2	10	10	NUM
ejpam-4882	66	3	)	)	PUNCT
ejpam-4882	66	4	the	the	DET
ejpam-4882	66	5	estimates	estimate	NOUN
ejpam-4882	66	6	of	of	ADP
ejpam-4882	66	7	extreme	extreme	ADJ
ejpam-4882	66	8	quantiles	quantile	NOUN
ejpam-4882	66	9	of	of	ADP
ejpam-4882	66	10	the	the	DET
ejpam-4882	66	11	maximum	maximum	ADJ
ejpam-4882	66	12	distribution	distribution	NOUN
ejpam-4882	66	13	,	,	PUNCT
ejpam-4882	66	14	known	know	VERB
ejpam-4882	66	15	as	as	ADP
ejpam-4882	66	16	return	return	NOUN
ejpam-4882	66	17	level	level	NOUN
ejpam-4882	66	18	rt	rt	PROPN
ejpam-4882	66	19	(	(	PUNCT
ejpam-4882	66	20	u	u	NOUN
ejpam-4882	66	21	)	)	PUNCT
ejpam-4882	66	22	,	,	PUNCT
ejpam-4882	66	23	are	be	AUX
ejpam-4882	66	24	then	then	ADV
ejpam-4882	66	25	obtained	obtain	VERB
ejpam-4882	66	26	by	by	ADP
ejpam-4882	66	27	inverting	inverting	NOUN
ejpam-4882	66	28	of	of	ADP
ejpam-4882	66	29	g(x;µ	g(x;µ	NOUN
ejpam-4882	66	30	,	,	PUNCT
ejpam-4882	66	31	σ	σ	PROPN
ejpam-4882	66	32	,	,	PUNCT
ejpam-4882	66	33	α	α	NOUN
ejpam-4882	66	34	)	)	PUNCT
ejpam-4882	66	35	for	for	ADP
ejpam-4882	66	36	α	α	PROPN
ejpam-4882	66	37	>	>	X
ejpam-4882	66	38	0	0	PROPN
ejpam-4882	66	39	,	,	PUNCT
ejpam-4882	66	40	α	α	PRON
ejpam-4882	66	41	̸=	̸=	PROPN
ejpam-4882	66	42	1	1	NUM
ejpam-4882	66	43	is	be	AUX
ejpam-4882	66	44	then	then	ADV
ejpam-4882	66	45	obtained	obtain	VERB
ejpam-4882	66	46	as	as	ADP
ejpam-4882	66	47	p.	p.	PROPN
ejpam-4882	66	48	khamrot	khamrot	PROPN
ejpam-4882	66	49	,	,	PUNCT
ejpam-4882	66	50	n.	n.	PROPN
ejpam-4882	66	51	deetae	deetae	PROPN
ejpam-4882	66	52	/	/	SYM
ejpam-4882	66	53	eur	eur	PROPN
ejpam-4882	66	54	.	.	PUNCT
ejpam-4882	67	1	j.	j.	PROPN
ejpam-4882	67	2	pure	pure	PROPN
ejpam-4882	67	3	appl	appl	PROPN
ejpam-4882	67	4	.	.	PROPN
ejpam-4882	67	5	math	math	PROPN
ejpam-4882	67	6	,	,	PUNCT
ejpam-4882	67	7	16	16	NUM
ejpam-4882	67	8	(	(	PUNCT
ejpam-4882	67	9	4	4	NUM
ejpam-4882	67	10	)	)	PUNCT
ejpam-4882	67	11	(	(	PUNCT
ejpam-4882	67	12	2023	2023	NUM
ejpam-4882	67	13	)	)	PUNCT
ejpam-4882	67	14	,	,	PUNCT
ejpam-4882	67	15	2461	2461	NUM
ejpam-4882	67	16	-	-	SYM
ejpam-4882	67	17	2475	2475	NUM
ejpam-4882	67	18	2465	2465	NUM
ejpam-4882	67	19	0.0	0.0	NUM
ejpam-4882	67	20	0.2	0.2	NUM
ejpam-4882	67	21	0.4	0.4	NUM
ejpam-4882	67	22	0.6	0.6	NUM
ejpam-4882	67	23	0.8	0.8	NUM
ejpam-4882	67	24	1.0	1.0	NUM
ejpam-4882	67	25	0	0	NUM
ejpam-4882	67	26	.0	.0	NUM
ejpam-4882	67	27	0	0	NUM
ejpam-4882	68	1	.5	.5	NUM
ejpam-4882	68	2	1	1	NUM
ejpam-4882	68	3	.0	.0	NUM
ejpam-4882	68	4	1	1	NUM
ejpam-4882	68	5	.5	.5	NUM
ejpam-4882	68	6	2	2	NUM
ejpam-4882	68	7	.0	.0	NUM
ejpam-4882	68	8	2	2	NUM
ejpam-4882	68	9	.5	.5	NUM
ejpam-4882	68	10	x	x	SYM
ejpam-4882	68	11	f	f	X
ejpam-4882	68	12	(	(	PUNCT
ejpam-4882	68	13	x	x	SYM
ejpam-4882	68	14	)	)	PUNCT
ejpam-4882	68	15	alpha=0.1	alpha=0.1	ADV
ejpam-4882	68	16	alpha=0.25	alpha=0.25	VERB
ejpam-4882	68	17	alpha=0.5	alpha=0.5	NUM
ejpam-4882	68	18	0.0	0.0	NUM
ejpam-4882	68	19	0.2	0.2	NUM
ejpam-4882	68	20	0.4	0.4	NUM
ejpam-4882	68	21	0.6	0.6	NUM
ejpam-4882	68	22	0.8	0.8	NUM
ejpam-4882	68	23	1.0	1.0	NUM
ejpam-4882	68	24	0	0	NUM
ejpam-4882	68	25	.0	.0	NUM
ejpam-4882	68	26	0	0	NUM
ejpam-4882	69	1	.5	.5	NUM
ejpam-4882	69	2	1	1	NUM
ejpam-4882	69	3	.0	.0	NUM
ejpam-4882	69	4	1	1	NUM
ejpam-4882	69	5	.5	.5	NUM
ejpam-4882	69	6	2	2	NUM
ejpam-4882	69	7	.0	.0	NUM
ejpam-4882	69	8	x	x	SYM
ejpam-4882	69	9	f	f	X
ejpam-4882	69	10	(	(	PUNCT
ejpam-4882	69	11	x	x	SYM
ejpam-4882	69	12	)	)	PUNCT
ejpam-4882	69	13	alpha=0.75	alpha=0.75	ADJ
ejpam-4882	69	14	alpha=0.99	alpha=0.99	NOUN
ejpam-4882	69	15	alpha=1.5	alpha=1.5	NOUN
ejpam-4882	69	16	figure	figure	VERB
ejpam-4882	69	17	1	1	NUM
ejpam-4882	69	18	:	:	PUNCT
ejpam-4882	69	19	plots	plot	NOUN
ejpam-4882	69	20	of	of	ADP
ejpam-4882	69	21	the	the	DET
ejpam-4882	69	22	aptgev	aptgev	NOUN
ejpam-4882	69	23	probability	probability	NOUN
ejpam-4882	69	24	density	density	NOUN
ejpam-4882	69	25	function	function	NOUN
ejpam-4882	69	26	as	as	ADP
ejpam-4882	69	27	µ	µ	NOUN
ejpam-4882	69	28	=	=	SYM
ejpam-4882	69	29	0.5	0.5	NUM
ejpam-4882	69	30	,	,	PUNCT
ejpam-4882	69	31	σ	σ	NOUN
ejpam-4882	69	32	=	=	SYM
ejpam-4882	69	33	0.3	0.3	NUM
ejpam-4882	69	34	,	,	PUNCT
ejpam-4882	69	35	and	and	CCONJ
ejpam-4882	69	36	ξ	ξ	X
ejpam-4882	69	37	=	=	SYM
ejpam-4882	69	38	0.5	0.5	NUM
ejpam-4882	69	39	rt	rt	PROPN
ejpam-4882	69	40	(	(	PUNCT
ejpam-4882	69	41	u	u	NOUN
ejpam-4882	69	42	)	)	PUNCT
ejpam-4882	69	43	=	=	SYM
ejpam-4882	69	44	µ+	µ+	PROPN
ejpam-4882	69	45	σ	σ	X
ejpam-4882	69	46	ξ	ξ	PROPN
ejpam-4882	69	47	(	(	PUNCT
ejpam-4882	69	48	(	(	PUNCT
ejpam-4882	69	49	log(log(α))−	log(log(α))−	PROPN
ejpam-4882	69	50	log(log(u(α−	log(log(u(α−	NOUN
ejpam-4882	69	51	1	1	NUM
ejpam-4882	69	52	)	)	PUNCT
ejpam-4882	69	53	+	+	CCONJ
ejpam-4882	69	54	1)))−ξ	1)))−ξ	NUM
ejpam-4882	69	55	−	−	NUM
ejpam-4882	69	56	1	1	NUM
ejpam-4882	69	57	)	)	PUNCT
ejpam-4882	69	58	,	,	PUNCT
ejpam-4882	70	1	ξ	ξ	PROPN
ejpam-4882	70	2	̸=	̸=	PROPN
ejpam-4882	70	3	0	0	NUM
ejpam-4882	70	4	µ−	µ−	PROPN
ejpam-4882	70	5	σ	σ	PROPN
ejpam-4882	70	6	log(log(log(α))−	log(log(log(α))−	PROPN
ejpam-4882	70	7	log(log(u(α−	log(log(u(α−	NOUN
ejpam-4882	70	8	1	1	NUM
ejpam-4882	70	9	)	)	PUNCT
ejpam-4882	70	10	+	+	CCONJ
ejpam-4882	70	11	1	1	NUM
ejpam-4882	70	12	)	)	PUNCT
ejpam-4882	70	13	)	)	PUNCT
ejpam-4882	70	14	)	)	PUNCT
ejpam-4882	70	15	,	,	PUNCT
ejpam-4882	70	16	ξ	ξ	PROPN
ejpam-4882	70	17	→	→	SYM
ejpam-4882	70	18	0	0	NUM
ejpam-4882	70	19	.	.	PUNCT
ejpam-4882	71	1	(	(	PUNCT
ejpam-4882	71	2	11	11	NUM
ejpam-4882	71	3	)	)	PUNCT
ejpam-4882	71	4	where	where	SCONJ
ejpam-4882	71	5	u	u	PROPN
ejpam-4882	71	6	∈	∈	PROPN
ejpam-4882	72	1	[	[	X
ejpam-4882	72	2	0	0	NUM
ejpam-4882	72	3	,	,	PUNCT
ejpam-4882	72	4	1	1	NUM
ejpam-4882	72	5	]	]	PUNCT
ejpam-4882	72	6	,	,	PUNCT
ejpam-4882	72	7	u	u	NOUN
ejpam-4882	72	8	=	=	PROPN
ejpam-4882	72	9	1−	1−	NUM
ejpam-4882	72	10	t−1	t−1	PROPN
ejpam-4882	72	11	,	,	PUNCT
ejpam-4882	72	12	and	and	CCONJ
ejpam-4882	72	13	t	t	PROPN
ejpam-4882	72	14	is	be	AUX
ejpam-4882	72	15	the	the	DET
ejpam-4882	72	16	number	number	NOUN
ejpam-4882	72	17	of	of	ADP
ejpam-4882	72	18	recurrent	recurrent	ADJ
ejpam-4882	72	19	times	time	NOUN
ejpam-4882	72	20	.	.	PUNCT
ejpam-4882	73	1	2.2	2.2	NUM
ejpam-4882	73	2	.	.	PUNCT
ejpam-4882	74	1	distribution	distribution	NOUN
ejpam-4882	74	2	properties	property	NOUN
ejpam-4882	74	3	in	in	ADP
ejpam-4882	74	4	this	this	DET
ejpam-4882	74	5	section	section	NOUN
ejpam-4882	74	6	,	,	PUNCT
ejpam-4882	74	7	we	we	PRON
ejpam-4882	74	8	derive	derive	VERB
ejpam-4882	74	9	the	the	DET
ejpam-4882	74	10	expressions	expression	NOUN
ejpam-4882	74	11	for	for	ADP
ejpam-4882	74	12	some	some	DET
ejpam-4882	74	13	essential	essential	ADJ
ejpam-4882	74	14	properties	property	NOUN
ejpam-4882	74	15	of	of	ADP
ejpam-4882	74	16	the	the	DET
ejpam-4882	74	17	aptgev	aptgev	NOUN
ejpam-4882	74	18	distribution	distribution	NOUN
ejpam-4882	74	19	.	.	PUNCT
ejpam-4882	75	1	the	the	DET
ejpam-4882	75	2	power	power	NOUN
ejpam-4882	75	3	series	series	NOUN
ejpam-4882	75	4	can	can	AUX
ejpam-4882	75	5	be	be	AUX
ejpam-4882	75	6	represented	represent	VERB
ejpam-4882	75	7	by	by	ADP
ejpam-4882	75	8	αw	αw	NOUN
ejpam-4882	75	9	=	=	PROPN
ejpam-4882	75	10	∞∑	∞∑	NUM
ejpam-4882	75	11	i=0	i=0	PROPN
ejpam-4882	75	12	(	(	PUNCT
ejpam-4882	75	13	logα)i	logα)i	PROPN
ejpam-4882	75	14	i	i	PRON
ejpam-4882	75	15	!	!	PUNCT
ejpam-4882	76	1	wi	wi	PROPN
ejpam-4882	76	2	.	.	PUNCT
ejpam-4882	77	1	(	(	PUNCT
ejpam-4882	77	2	12	12	NUM
ejpam-4882	77	3	)	)	PUNCT
ejpam-4882	77	4	hence	hence	ADV
ejpam-4882	77	5	,	,	PUNCT
ejpam-4882	77	6	inserting	insert	VERB
ejpam-4882	77	7	(	(	PUNCT
ejpam-4882	77	8	12	12	NUM
ejpam-4882	77	9	)	)	PUNCT
ejpam-4882	77	10	in	in	ADP
ejpam-4882	77	11	pdf	pdf	NOUN
ejpam-4882	77	12	(	(	PUNCT
ejpam-4882	77	13	7	7	NUM
ejpam-4882	77	14	)	)	PUNCT
ejpam-4882	77	15	,	,	PUNCT
ejpam-4882	77	16	then	then	ADV
ejpam-4882	77	17	g(x;µ	g(x;µ	PROPN
ejpam-4882	77	18	,	,	PUNCT
ejpam-4882	77	19	σ	σ	PROPN
ejpam-4882	77	20	,	,	PUNCT
ejpam-4882	77	21	ξ	ξ	PROPN
ejpam-4882	77	22	,	,	PUNCT
ejpam-4882	77	23	α	α	NOUN
ejpam-4882	77	24	)	)	PUNCT
ejpam-4882	77	25	=	=	VERB
ejpam-4882	77	26	logα	logα	VERB
ejpam-4882	77	27	α−	α−	ADP
ejpam-4882	77	28	1	1	NUM
ejpam-4882	77	29	σ−1[1	σ−1[1	NOUN
ejpam-4882	77	30	+	+	CCONJ
ejpam-4882	77	31	ξ(x−	ξ(x−	PROPN
ejpam-4882	77	32	µ)/σ]−(1	µ)/σ]−(1	NUM
ejpam-4882	77	33	/	/	SYM
ejpam-4882	77	34	ξ)−1	ξ)−1	NOUN
ejpam-4882	77	35	exp{−[1	exp{−[1	NOUN
ejpam-4882	77	36	+	+	CCONJ
ejpam-4882	77	37	ξ(x−	ξ(x−	PROPN
ejpam-4882	77	38	µ)/σ]−1	µ)/σ]−1	ADP
ejpam-4882	77	39	/	/	SYM
ejpam-4882	77	40	ξ	ξ	NOUN
ejpam-4882	77	41	}	}	PUNCT
ejpam-4882	77	42	∞∑	∞∑	PROPN
ejpam-4882	77	43	i=0	i=0	PROPN
ejpam-4882	77	44	(	(	PUNCT
ejpam-4882	77	45	logα)i	logα)i	PROPN
ejpam-4882	78	1	i	i	INTJ
ejpam-4882	78	2	!	!	PUNCT
ejpam-4882	79	1	exp{−i[1	exp{−i[1	PROPN
ejpam-4882	80	1	+	+	CCONJ
ejpam-4882	80	2	ξ(x−	ξ(x−	PROPN
ejpam-4882	80	3	µ)/σ]−1	µ)/σ]−1	ADP
ejpam-4882	80	4	/	/	SYM
ejpam-4882	80	5	ξ	ξ	NOUN
ejpam-4882	80	6	}	}	PUNCT
ejpam-4882	80	7	=	=	SYM
ejpam-4882	80	8	∞∑	∞∑	NUM
ejpam-4882	80	9	i=0	i=0	PROPN
ejpam-4882	80	10	(	(	PUNCT
ejpam-4882	80	11	logα)i+1	logα)i+1	X
ejpam-4882	80	12	(	(	PUNCT
ejpam-4882	80	13	α−	α−	ADP
ejpam-4882	80	14	1)i	1)i	NUM
ejpam-4882	80	15	!	!	PUNCT
ejpam-4882	80	16	σ−1[1	σ−1[1	PROPN
ejpam-4882	81	1	+	+	CCONJ
ejpam-4882	81	2	ξ(x−	ξ(x−	PROPN
ejpam-4882	81	3	µ)/σ]−(1	µ)/σ]−(1	NUM
ejpam-4882	81	4	/	/	SYM
ejpam-4882	81	5	ξ)−1	ξ)−1	NOUN
ejpam-4882	81	6	exp{−(i+	exp{−(i+	NOUN
ejpam-4882	81	7	1)[1	1)[1	NOUN
ejpam-4882	81	8	+	+	CCONJ
ejpam-4882	81	9	ξ(x−	ξ(x−	PROPN
ejpam-4882	81	10	µ)/σ]−1	µ)/σ]−1	ADP
ejpam-4882	81	11	/	/	SYM
ejpam-4882	81	12	ξ	ξ	NOUN
ejpam-4882	81	13	}	}	PUNCT
ejpam-4882	81	14	=	=	SYM
ejpam-4882	82	1	∞∑	∞∑	NUM
ejpam-4882	82	2	i=0	i=0	PROPN
ejpam-4882	82	3	wiσ	wiσ	NOUN
ejpam-4882	82	4	−1uξ+1e−(i+1)u	−1uξ+1e−(i+1)u	NUM
ejpam-4882	82	5	where	where	SCONJ
ejpam-4882	82	6	wi	wi	PROPN
ejpam-4882	82	7	=	=	SYM
ejpam-4882	82	8	(	(	PUNCT
ejpam-4882	82	9	logα)i+1	logα)i+1	X
ejpam-4882	82	10	(	(	PUNCT
ejpam-4882	82	11	α−	α−	ADP
ejpam-4882	82	12	1)i	1)i	NUM
ejpam-4882	82	13	!	!	PUNCT
ejpam-4882	82	14	and	and	CCONJ
ejpam-4882	82	15	u	u	X
ejpam-4882	82	16	=	=	PUNCT
ejpam-4882	83	1	[	[	X
ejpam-4882	83	2	1	1	NUM
ejpam-4882	83	3	+	+	NUM
ejpam-4882	83	4	ξ(x−	ξ(x−	PROPN
ejpam-4882	83	5	µ)/σ]−(1	µ)/σ]−(1	NUM
ejpam-4882	83	6	/	/	SYM
ejpam-4882	83	7	ξ	ξ	NOUN
ejpam-4882	83	8	)	)	PUNCT
ejpam-4882	83	9	.	.	PUNCT
ejpam-4882	84	1	p.	p.	NOUN
ejpam-4882	84	2	khamrot	khamrot	PROPN
ejpam-4882	84	3	,	,	PUNCT
ejpam-4882	84	4	n.	n.	PROPN
ejpam-4882	84	5	deetae	deetae	PROPN
ejpam-4882	84	6	/	/	SYM
ejpam-4882	84	7	eur	eur	PROPN
ejpam-4882	84	8	.	.	PUNCT
ejpam-4882	85	1	j.	j.	PROPN
ejpam-4882	85	2	pure	pure	PROPN
ejpam-4882	85	3	appl	appl	PROPN
ejpam-4882	85	4	.	.	PROPN
ejpam-4882	85	5	math	math	PROPN
ejpam-4882	85	6	,	,	PUNCT
ejpam-4882	85	7	16	16	NUM
ejpam-4882	85	8	(	(	PUNCT
ejpam-4882	85	9	4	4	NUM
ejpam-4882	85	10	)	)	PUNCT
ejpam-4882	85	11	(	(	PUNCT
ejpam-4882	85	12	2023	2023	NUM
ejpam-4882	85	13	)	)	PUNCT
ejpam-4882	85	14	,	,	PUNCT
ejpam-4882	85	15	2461	2461	NUM
ejpam-4882	85	16	-	-	SYM
ejpam-4882	85	17	2475	2475	NUM
ejpam-4882	85	18	2466	2466	NUM
ejpam-4882	85	19	if	if	SCONJ
ejpam-4882	85	20	x	x	PRON
ejpam-4882	85	21	has	have	VERB
ejpam-4882	85	22	the	the	DET
ejpam-4882	85	23	pdf	pdf	NOUN
ejpam-4882	85	24	,	,	PUNCT
ejpam-4882	85	25	then	then	ADV
ejpam-4882	85	26	its	its	PRON
ejpam-4882	85	27	kth	kth	PROPN
ejpam-4882	85	28	moment	moment	NOUN
ejpam-4882	85	29	,	,	PUNCT
ejpam-4882	85	30	we	we	PRON
ejpam-4882	85	31	used	use	VERB
ejpam-4882	85	32	binomial	binomial	ADJ
ejpam-4882	85	33	expression	expression	NOUN
ejpam-4882	85	34	can	can	AUX
ejpam-4882	85	35	be	be	AUX
ejpam-4882	85	36	obtained	obtain	VERB
ejpam-4882	85	37	as	as	ADP
ejpam-4882	85	38	follows	follow	NOUN
ejpam-4882	85	39	.	.	PUNCT
ejpam-4882	86	1	µ′	µ′	PUNCT
ejpam-4882	87	1	k	k	NOUN
ejpam-4882	87	2	=	=	PUNCT
ejpam-4882	87	3	∞∑	∞∑	NUM
ejpam-4882	87	4	i=0	i=0	PROPN
ejpam-4882	87	5	wiσ	wiσ	NOUN
ejpam-4882	87	6	−1	−1	NOUN
ejpam-4882	87	7	∫	∫	PROPN
ejpam-4882	87	8	∞	∞	NUM
ejpam-4882	87	9	0	0	NUM
ejpam-4882	87	10	xkuξ+1e−(i+1)udx	xkuξ+1e−(i+1)udx	NUM
ejpam-4882	88	1	=	=	PUNCT
ejpam-4882	89	1	∞∑	∞∑	NUM
ejpam-4882	89	2	i=0	i=0	PROPN
ejpam-4882	89	3	k∑	k∑	PROPN
ejpam-4882	89	4	j	j	PROPN
ejpam-4882	89	5	,	,	PUNCT
ejpam-4882	89	6	m=0	m=0	PROPN
ejpam-4882	89	7	µk−j(−1)k−m−1σkk!k	µk−j(−1)k−m−1σkk!k	PUNCT
ejpam-4882	89	8	!	!	PUNCT
ejpam-4882	89	9	(	(	PUNCT
ejpam-4882	90	1	k	k	X
ejpam-4882	90	2	−	−	PROPN
ejpam-4882	90	3	j)!(k	j)!(k	PROPN
ejpam-4882	90	4	−m)!j!m!ξk	−m)!j!m!ξk	PROPN
ejpam-4882	90	5	wi	wi	PROPN
ejpam-4882	90	6	∫	∫	PROPN
ejpam-4882	90	7	∞	∞	PROPN
ejpam-4882	90	8	0	0	NUM
ejpam-4882	90	9	u−ξme−(i+1)udu	u−ξme−(i+1)udu	ADJ
ejpam-4882	90	10	=	=	NOUN
ejpam-4882	91	1	∞∑	∞∑	PROPN
ejpam-4882	91	2	i=0	i=0	PROPN
ejpam-4882	91	3	k∑	k∑	PROPN
ejpam-4882	91	4	j	j	PROPN
ejpam-4882	91	5	,	,	PUNCT
ejpam-4882	91	6	m=0	m=0	PROPN
ejpam-4882	91	7	τi	τi	PROPN
ejpam-4882	91	8	,	,	PUNCT
ejpam-4882	91	9	j	j	NOUN
ejpam-4882	91	10	,	,	PUNCT
ejpam-4882	91	11	m(i+	m(i+	X
ejpam-4882	91	12	1)(ξm−1)γ(1−	1)(ξm−1)γ(1−	NUM
ejpam-4882	91	13	ξm	ξm	NOUN
ejpam-4882	91	14	)	)	PUNCT
ejpam-4882	91	15	,	,	PUNCT
ejpam-4882	91	16	where	where	SCONJ
ejpam-4882	91	17	τi	τi	ADP
ejpam-4882	91	18	,	,	PUNCT
ejpam-4882	91	19	j	j	NOUN
ejpam-4882	91	20	,	,	PUNCT
ejpam-4882	91	21	m	m	VERB
ejpam-4882	91	22	=	=	PUNCT
ejpam-4882	91	23	µk−j(−1)k−m−1σkk!k	µk−j(−1)k−m−1σkk!k	PUNCT
ejpam-4882	91	24	!	!	PUNCT
ejpam-4882	91	25	(	(	PUNCT
ejpam-4882	92	1	k	k	X
ejpam-4882	92	2	−	−	PROPN
ejpam-4882	92	3	j)!(k	j)!(k	PROPN
ejpam-4882	92	4	−m)!j!m!ξk	−m)!j!m!ξk	PROPN
ejpam-4882	92	5	wi	wi	PROPN
ejpam-4882	92	6	and	and	CCONJ
ejpam-4882	92	7	γ	γ	X
ejpam-4882	92	8	(	(	PUNCT
ejpam-4882	92	9	.	.	PUNCT
ejpam-4882	92	10	)	)	PUNCT
ejpam-4882	92	11	stands	stand	VERB
ejpam-4882	92	12	for	for	ADP
ejpam-4882	92	13	the	the	DET
ejpam-4882	92	14	gamma	gamma	PROPN
ejpam-4882	92	15	function	function	NOUN
ejpam-4882	92	16	.	.	PUNCT
ejpam-4882	93	1	the	the	DET
ejpam-4882	93	2	first	first	ADJ
ejpam-4882	93	3	four	four	NUM
ejpam-4882	93	4	moments	moment	NOUN
ejpam-4882	93	5	about	about	ADP
ejpam-4882	93	6	zero	zero	NUM
ejpam-4882	93	7	can	can	AUX
ejpam-4882	93	8	be	be	AUX
ejpam-4882	93	9	found	find	VERB
ejpam-4882	93	10	by	by	ADP
ejpam-4882	93	11	setting	set	VERB
ejpam-4882	93	12	k	k	PROPN
ejpam-4882	93	13	=	=	SYM
ejpam-4882	93	14	1	1	NUM
ejpam-4882	93	15	,	,	PUNCT
ejpam-4882	93	16	2	2	NUM
ejpam-4882	93	17	,	,	PUNCT
ejpam-4882	93	18	3	3	NUM
ejpam-4882	93	19	and	and	CCONJ
ejpam-4882	93	20	4	4	NUM
ejpam-4882	93	21	in	in	ADP
ejpam-4882	93	22	µ′	µ′	NOUN
ejpam-4882	93	23	k.	k.	NOUN
ejpam-4882	93	24	also	also	ADV
ejpam-4882	93	25	,	,	PUNCT
ejpam-4882	93	26	the	the	DET
ejpam-4882	93	27	aptgev	aptgev	NOUN
ejpam-4882	93	28	distribution	distribution	NOUN
ejpam-4882	93	29	’s	’s	PART
ejpam-4882	93	30	moment	moment	NOUN
ejpam-4882	93	31	generating	generate	VERB
ejpam-4882	93	32	function	function	NOUN
ejpam-4882	93	33	can	can	AUX
ejpam-4882	93	34	be	be	AUX
ejpam-4882	93	35	found	find	VERB
ejpam-4882	93	36	as	as	SCONJ
ejpam-4882	93	37	follows	follow	VERB
ejpam-4882	93	38	:	:	PUNCT
ejpam-4882	93	39	mx(t	mx(t	X
ejpam-4882	93	40	)	)	PUNCT
ejpam-4882	93	41	=	=	SYM
ejpam-4882	94	1	e(etx	e(etx	X
ejpam-4882	94	2	)	)	PUNCT
ejpam-4882	95	1	=	=	PUNCT
ejpam-4882	96	1	∞∑	∞∑	NUM
ejpam-4882	96	2	k=0	k=0	PROPN
ejpam-4882	96	3	tk	tk	PROPN
ejpam-4882	96	4	k	k	NOUN
ejpam-4882	96	5	!	!	PUNCT
ejpam-4882	97	1	∞∑	∞∑	PRON
ejpam-4882	97	2	i=0	i=0	PROPN
ejpam-4882	97	3	k∑	k∑	PROPN
ejpam-4882	97	4	j	j	PROPN
ejpam-4882	97	5	,	,	PUNCT
ejpam-4882	97	6	m=0	m=0	PROPN
ejpam-4882	97	7	τi	τi	PROPN
ejpam-4882	97	8	,	,	PUNCT
ejpam-4882	97	9	j	j	NOUN
ejpam-4882	97	10	,	,	PUNCT
ejpam-4882	97	11	m(i+	m(i+	X
ejpam-4882	97	12	1)(ξm−1)γ(1−	1)(ξm−1)γ(1−	NUM
ejpam-4882	97	13	ξm	ξm	NOUN
ejpam-4882	97	14	)	)	PUNCT
ejpam-4882	97	15	.	.	PUNCT
ejpam-4882	98	1	the	the	DET
ejpam-4882	98	2	central	central	ADJ
ejpam-4882	98	3	moments	moment	NOUN
ejpam-4882	98	4	(	(	PUNCT
ejpam-4882	98	5	µk	µk	NOUN
ejpam-4882	98	6	)	)	PUNCT
ejpam-4882	98	7	of	of	ADP
ejpam-4882	98	8	aptgev	aptgev	NOUN
ejpam-4882	98	9	distribution	distribution	NOUN
ejpam-4882	98	10	can	can	AUX
ejpam-4882	98	11	be	be	AUX
ejpam-4882	98	12	obtained	obtain	VERB
ejpam-4882	98	13	from	from	ADP
ejpam-4882	98	14	µk	µk	PRON
ejpam-4882	98	15	=	=	SYM
ejpam-4882	98	16	e(x	e(x	NUM
ejpam-4882	98	17	−	−	ADP
ejpam-4882	98	18	µ′	µ′	NOUN
ejpam-4882	98	19	1	1	NUM
ejpam-4882	98	20	)	)	PUNCT
ejpam-4882	98	21	k	k	NOUN
ejpam-4882	98	22	=	=	PUNCT
ejpam-4882	98	23	k∑	k∑	PROPN
ejpam-4882	98	24	n=0	n=0	PUNCT
ejpam-4882	98	25	(	(	PUNCT
ejpam-4882	98	26	−1)n	−1)n	X
ejpam-4882	98	27	(	(	PUNCT
ejpam-4882	98	28	k	k	NOUN
ejpam-4882	98	29	n	n	PROPN
ejpam-4882	98	30	)	)	PUNCT
ejpam-4882	98	31	(	(	PUNCT
ejpam-4882	98	32	µ′	µ′	NOUN
ejpam-4882	98	33	1	1	NUM
ejpam-4882	98	34	)	)	PUNCT
ejpam-4882	98	35	nµ′	nµ′	ADJ
ejpam-4882	98	36	k−n	k−n	PROPN
ejpam-4882	98	37	.	.	PUNCT
ejpam-4882	99	1	some	some	DET
ejpam-4882	99	2	simulations	simulation	NOUN
ejpam-4882	99	3	presented	present	VERB
ejpam-4882	99	4	how	how	SCONJ
ejpam-4882	99	5	the	the	DET
ejpam-4882	99	6	simple	simple	ADJ
ejpam-4882	99	7	mean	mean	NOUN
ejpam-4882	99	8	(	(	PUNCT
ejpam-4882	99	9	x̄	x̄	NOUN
ejpam-4882	99	10	)	)	PUNCT
ejpam-4882	99	11	,	,	PUNCT
ejpam-4882	99	12	standard	standard	ADJ
ejpam-4882	99	13	deviation	deviation	NOUN
ejpam-4882	99	14	(	(	PUNCT
ejpam-4882	99	15	sd	sd	NOUN
ejpam-4882	99	16	)	)	PUNCT
ejpam-4882	99	17	,	,	PUNCT
ejpam-4882	99	18	skewness	skewness	NOUN
ejpam-4882	99	19	values	value	NOUN
ejpam-4882	99	20	(	(	PUNCT
ejpam-4882	99	21	s.v	s.v	PROPN
ejpam-4882	99	22	.	.	PROPN
ejpam-4882	99	23	)	)	PUNCT
ejpam-4882	99	24	,	,	PUNCT
ejpam-4882	99	25	and	and	CCONJ
ejpam-4882	99	26	kurtosis	kurtosis	VERB
ejpam-4882	99	27	values	value	NOUN
ejpam-4882	99	28	(	(	PUNCT
ejpam-4882	99	29	k.s	k.s	PROPN
ejpam-4882	99	30	.	.	PROPN
ejpam-4882	99	31	)	)	PUNCT
ejpam-4882	99	32	of	of	ADP
ejpam-4882	99	33	the	the	DET
ejpam-4882	99	34	aptgev	aptgev	NOUN
ejpam-4882	99	35	distribution	distribution	NOUN
ejpam-4882	99	36	.	.	PUNCT
ejpam-4882	100	1	the	the	DET
ejpam-4882	100	2	result	result	NOUN
ejpam-4882	100	3	is	be	AUX
ejpam-4882	100	4	changed	change	VERB
ejpam-4882	100	5	for	for	ADP
ejpam-4882	100	6	different	different	ADJ
ejpam-4882	100	7	α	α	NOUN
ejpam-4882	100	8	values	value	NOUN
ejpam-4882	100	9	,	,	PUNCT
ejpam-4882	100	10	and	and	CCONJ
ejpam-4882	100	11	random	random	ADJ
ejpam-4882	100	12	samples	sample	NOUN
ejpam-4882	100	13	with	with	ADP
ejpam-4882	100	14	1,000	1,000	NUM
ejpam-4882	100	15	are	be	AUX
ejpam-4882	100	16	generated	generate	VERB
ejpam-4882	100	17	1,000	1,000	NUM
ejpam-4882	100	18	times	time	NOUN
ejpam-4882	100	19	by	by	ADP
ejpam-4882	100	20	the	the	DET
ejpam-4882	100	21	quantile	quantile	ADJ
ejpam-4882	100	22	function	function	NOUN
ejpam-4882	100	23	of	of	ADP
ejpam-4882	100	24	the	the	DET
ejpam-4882	100	25	aptgev	aptgev	NOUN
ejpam-4882	100	26	distribution	distribution	NOUN
ejpam-4882	100	27	,	,	PUNCT
ejpam-4882	100	28	shown	show	VERB
ejpam-4882	100	29	in	in	ADP
ejpam-4882	100	30	table	table	NOUN
ejpam-4882	100	31	1	1	NUM
ejpam-4882	100	32	2.3	2.3	NUM
ejpam-4882	100	33	.	.	PUNCT
ejpam-4882	101	1	the	the	DET
ejpam-4882	101	2	maximum	maximum	ADJ
ejpam-4882	101	3	likelihood	likelihood	NOUN
ejpam-4882	101	4	estimates	estimate	NOUN
ejpam-4882	101	5	(	(	PUNCT
ejpam-4882	101	6	mles	mle	NOUN
ejpam-4882	101	7	)	)	PUNCT
ejpam-4882	101	8	all	all	DET
ejpam-4882	101	9	parameters	parameter	NOUN
ejpam-4882	101	10	of	of	ADP
ejpam-4882	101	11	the	the	DET
ejpam-4882	101	12	aptgev	aptgev	NOUN
ejpam-4882	101	13	distributions	distribution	NOUN
ejpam-4882	101	14	are	be	AUX
ejpam-4882	101	15	estimated	estimate	VERB
ejpam-4882	101	16	from	from	ADP
ejpam-4882	101	17	a	a	DET
ejpam-4882	101	18	complete	complete	ADJ
ejpam-4882	101	19	set	set	NOUN
ejpam-4882	101	20	of	of	ADP
ejpam-4882	101	21	samples	sample	NOUN
ejpam-4882	101	22	using	use	VERB
ejpam-4882	101	23	the	the	DET
ejpam-4882	101	24	maximum	maximum	ADJ
ejpam-4882	101	25	likelihood	likelihood	NOUN
ejpam-4882	101	26	method	method	NOUN
ejpam-4882	101	27	,	,	PUNCT
ejpam-4882	101	28	accompanied	accompany	VERB
ejpam-4882	101	29	by	by	ADP
ejpam-4882	101	30	the	the	DET
ejpam-4882	101	31	newton	newton	PROPN
ejpam-4882	101	32	-	-	PUNCT
ejpam-4882	101	33	raphson	raphson	NOUN
ejpam-4882	101	34	procedure	procedure	NOUN
ejpam-4882	101	35	.	.	PUNCT
ejpam-4882	102	1	when	when	SCONJ
ejpam-4882	102	2	the	the	DET
ejpam-4882	102	3	random	random	ADJ
ejpam-4882	102	4	sample	sample	NOUN
ejpam-4882	103	1	x	x	NOUN
ejpam-4882	103	2	’s	’s	ADV
ejpam-4882	103	3	follows	follow	VERB
ejpam-4882	103	4	aptgev	aptgev	NOUN
ejpam-4882	103	5	distribution	distribution	NOUN
ejpam-4882	103	6	,	,	PUNCT
ejpam-4882	103	7	the	the	DET
ejpam-4882	103	8	likelihood	likelihood	NOUN
ejpam-4882	103	9	and	and	CCONJ
ejpam-4882	103	10	log	log	NOUN
ejpam-4882	103	11	-	-	PUNCT
ejpam-4882	103	12	likelihood	likelihood	NOUN
ejpam-4882	103	13	functions	function	NOUN
ejpam-4882	103	14	for	for	ADP
ejpam-4882	103	15	ξ	ξ	PROPN
ejpam-4882	103	16	̸=	̸=	PROPN
ejpam-4882	103	17	0	0	NUM
ejpam-4882	103	18	can	can	AUX
ejpam-4882	103	19	be	be	AUX
ejpam-4882	103	20	respectively	respectively	ADV
ejpam-4882	103	21	written	write	VERB
ejpam-4882	103	22	as	as	ADP
ejpam-4882	103	23	l(µ	l(µ	PROPN
ejpam-4882	103	24	,	,	PUNCT
ejpam-4882	103	25	σ	σ	PROPN
ejpam-4882	103	26	,	,	PUNCT
ejpam-4882	103	27	ξ	ξ	PROPN
ejpam-4882	103	28	,	,	PUNCT
ejpam-4882	103	29	α;x	α;x	NUM
ejpam-4882	103	30	)	)	PUNCT
ejpam-4882	104	1	=	=	PUNCT
ejpam-4882	104	2	n∏	n∏	PROPN
ejpam-4882	104	3	i=1	i=1	PROPN
ejpam-4882	104	4	logα	logα	VERB
ejpam-4882	104	5	α−	α−	ADP
ejpam-4882	104	6	1	1	NUM
ejpam-4882	104	7	σ−1[1	σ−1[1	NOUN
ejpam-4882	104	8	+	+	X
ejpam-4882	104	9	ξ(xi	ξ(xi	NUM
ejpam-4882	104	10	−	−	ADP
ejpam-4882	104	11	µ)/σ]−(1	µ)/σ]−(1	NUM
ejpam-4882	104	12	/	/	SYM
ejpam-4882	104	13	ξ)−1	ξ)−1	NOUN
ejpam-4882	104	14	exp{−[1	exp{−[1	NOUN
ejpam-4882	104	15	+	+	CCONJ
ejpam-4882	104	16	ξ(xi	ξ(xi	PROPN
ejpam-4882	104	17	−	−	NOUN
ejpam-4882	104	18	µ)/σ]−1	µ)/σ]−1	NOUN
ejpam-4882	104	19	/	/	SYM
ejpam-4882	104	20	ξ}αexp{−[1+ξ(xi−µ)/σ]−1	ξ}αexp{−[1+ξ(xi−µ)/σ]−1	ADJ
ejpam-4882	104	21	/	/	SYM
ejpam-4882	104	22	ξ	ξ	PROPN
ejpam-4882	104	23	}	}	PUNCT
ejpam-4882	104	24	p.	p.	NOUN
ejpam-4882	104	25	khamrot	khamrot	NOUN
ejpam-4882	104	26	,	,	PUNCT
ejpam-4882	104	27	n.	n.	PROPN
ejpam-4882	104	28	deetae	deetae	PROPN
ejpam-4882	104	29	/	/	SYM
ejpam-4882	104	30	eur	eur	PROPN
ejpam-4882	104	31	.	.	PUNCT
ejpam-4882	105	1	j.	j.	PROPN
ejpam-4882	105	2	pure	pure	PROPN
ejpam-4882	105	3	appl	appl	PROPN
ejpam-4882	105	4	.	.	PROPN
ejpam-4882	105	5	math	math	PROPN
ejpam-4882	105	6	,	,	PUNCT
ejpam-4882	105	7	16	16	NUM
ejpam-4882	105	8	(	(	PUNCT
ejpam-4882	105	9	4	4	NUM
ejpam-4882	105	10	)	)	PUNCT
ejpam-4882	105	11	(	(	PUNCT
ejpam-4882	105	12	2023	2023	NUM
ejpam-4882	105	13	)	)	PUNCT
ejpam-4882	105	14	,	,	PUNCT
ejpam-4882	105	15	2461	2461	NUM
ejpam-4882	105	16	-	-	SYM
ejpam-4882	105	17	2475	2475	NUM
ejpam-4882	105	18	2467	2467	NUM
ejpam-4882	105	19	table	table	NOUN
ejpam-4882	105	20	1	1	NUM
ejpam-4882	105	21	:	:	PUNCT
ejpam-4882	105	22	the	the	DET
ejpam-4882	105	23	simulation	simulation	NOUN
ejpam-4882	105	24	results	result	VERB
ejpam-4882	105	25	for	for	ADP
ejpam-4882	105	26	the	the	DET
ejpam-4882	105	27	aptgev	aptgev	NOUN
ejpam-4882	105	28	distribution	distribution	NOUN
ejpam-4882	105	29	with	with	ADP
ejpam-4882	105	30	µ	µ	NOUN
ejpam-4882	105	31	=	=	SYM
ejpam-4882	105	32	0.5	0.5	NUM
ejpam-4882	105	33	,	,	PUNCT
ejpam-4882	105	34	σ	σ	NOUN
ejpam-4882	105	35	=	=	SYM
ejpam-4882	105	36	0.3	0.3	NUM
ejpam-4882	105	37	and	and	CCONJ
ejpam-4882	105	38	ξ	ξ	X
ejpam-4882	105	39	=	=	SYM
ejpam-4882	105	40	0.5	0.5	NUM
ejpam-4882	105	41	α	α	NOUN
ejpam-4882	105	42	mean	mean	NOUN
ejpam-4882	105	43	sd	sd	ADP
ejpam-4882	105	44	s.v	s.v	PROPN
ejpam-4882	105	45	.	.	PROPN
ejpam-4882	105	46	k.v	k.v	PROPN
ejpam-4882	105	47	.	.	PROPN
ejpam-4882	106	1	0.01	0.01	NUM
ejpam-4882	106	2	0.5594	0.5594	NUM
ejpam-4882	106	3	0.1273	0.1273	NUM
ejpam-4882	106	4	-2.2132	-2.2132	NOUN
ejpam-4882	106	5	4.6335	4.6335	NUM
ejpam-4882	106	6	0.05	0.05	NUM
ejpam-4882	106	7	0.4441	0.4441	NUM
ejpam-4882	106	8	0.1116	0.1116	NUM
ejpam-4882	106	9	-1.9081	-1.9081	NOUN
ejpam-4882	107	1	3.3215	3.3215	NUM
ejpam-4882	107	2	0.10	0.10	NUM
ejpam-4882	107	3	0.3678	0.3678	NUM
ejpam-4882	107	4	0.1020	0.1020	NUM
ejpam-4882	107	5	-1.6687	-1.6687	NOUN
ejpam-4882	107	6	2.3618	2.3618	NUM
ejpam-4882	107	7	0.30	0.30	NUM
ejpam-4882	107	8	0.1556	0.1556	NUM
ejpam-4882	107	9	0.0685	0.0685	NUM
ejpam-4882	107	10	-1.0045	-1.0045	NUM
ejpam-4882	107	11	0.2559	0.2559	NUM
ejpam-4882	107	12	1.50	1.50	NUM
ejpam-4882	107	13	0.5030	0.5030	NUM
ejpam-4882	107	14	0.2951	0.2951	NUM
ejpam-4882	107	15	-0.0348	-0.0348	NOUN
ejpam-4882	107	16	-1.1410	-1.1410	VERB
ejpam-4882	107	17	3.00	3.00	NUM
ejpam-4882	107	18	0.5031	0.5031	NUM
ejpam-4882	107	19	0.2949	0.2949	NUM
ejpam-4882	107	20	-0.0336	-0.0336	NOUN
ejpam-4882	107	21	-1.1448	-1.1448	X
ejpam-4882	108	1	5.00	5.00	NUM
ejpam-4882	108	2	0.5031	0.5031	NUM
ejpam-4882	108	3	0.2949	0.2949	NUM
ejpam-4882	108	4	-0.0364	-0.0364	NOUN
ejpam-4882	108	5	-1.1432	-1.1432	NOUN
ejpam-4882	108	6	10.00	10.00	NUM
ejpam-4882	108	7	0.5032	0.5032	NUM
ejpam-4882	108	8	0.2947	0.2947	NUM
ejpam-4882	108	9	-0.0299	-0.0299	NOUN
ejpam-4882	108	10	-1.1497	-1.1497	NOUN
ejpam-4882	108	11	20.00	20.00	NUM
ejpam-4882	108	12	0.5032	0.5032	NUM
ejpam-4882	108	13	0.2947	0.2947	NUM
ejpam-4882	108	14	-0.0321	-0.0321	ADJ
ejpam-4882	108	15	-1.1472	-1.1472	NOUN
ejpam-4882	109	1	40.00	40.00	NUM
ejpam-4882	109	2	0.5032	0.5032	NUM
ejpam-4882	109	3	0.2946	0.2946	NUM
ejpam-4882	109	4	-0.0305	-0.0305	NOUN
ejpam-4882	109	5	-1.1506	-1.1506	NOUN
ejpam-4882	109	6	and	and	CCONJ
ejpam-4882	109	7	l(µ	l(µ	PROPN
ejpam-4882	109	8	,	,	PUNCT
ejpam-4882	109	9	σ	σ	PROPN
ejpam-4882	109	10	,	,	PUNCT
ejpam-4882	109	11	ξ	ξ	PROPN
ejpam-4882	109	12	,	,	PUNCT
ejpam-4882	109	13	α;x	α;x	NUM
ejpam-4882	109	14	)	)	PUNCT
ejpam-4882	110	1	=	=	NOUN
ejpam-4882	110	2	n	n	PRON
ejpam-4882	110	3	log	log	NOUN
ejpam-4882	110	4	(	(	PUNCT
ejpam-4882	110	5	logα	logα	NOUN
ejpam-4882	110	6	σ(α−	σ(α−	PROPN
ejpam-4882	110	7	1	1	NUM
ejpam-4882	110	8	)	)	PUNCT
ejpam-4882	110	9	)	)	PUNCT
ejpam-4882	110	10	−	−	PROPN
ejpam-4882	111	1	(	(	PUNCT
ejpam-4882	111	2	1	1	NUM
ejpam-4882	111	3	/	/	SYM
ejpam-4882	111	4	ξ	ξ	PROPN
ejpam-4882	111	5	+	+	PROPN
ejpam-4882	111	6	1	1	X
ejpam-4882	111	7	)	)	PUNCT
ejpam-4882	111	8	n∑	n∑	NOUN
ejpam-4882	111	9	i=1	i=1	X
ejpam-4882	112	1	[	[	X
ejpam-4882	112	2	1	1	NUM
ejpam-4882	112	3	+	+	NUM
ejpam-4882	112	4	ξ(x−	ξ(x−	PROPN
ejpam-4882	112	5	µ)/σ]−	µ)/σ]−	PROPN
ejpam-4882	112	6	n∑	n∑	NOUN
ejpam-4882	112	7	i=1	i=1	PROPN
ejpam-4882	112	8	(	(	PUNCT
ejpam-4882	112	9	[	[	X
ejpam-4882	112	10	1	1	NUM
ejpam-4882	112	11	+	+	NUM
ejpam-4882	112	12	ξ(x−	ξ(x−	PROPN
ejpam-4882	112	13	µ)/σ]−1	µ)/σ]−1	ADP
ejpam-4882	112	14	/	/	SYM
ejpam-4882	112	15	ξ	ξ	NOUN
ejpam-4882	112	16	)	)	PUNCT
ejpam-4882	112	17	+	+	NUM
ejpam-4882	112	18	logα	logα	NOUN
ejpam-4882	112	19	n∑	n∑	NOUN
ejpam-4882	112	20	i=1	i=1	PROPN
ejpam-4882	112	21	exp	exp	NOUN
ejpam-4882	113	1	[	[	X
ejpam-4882	113	2	−1	−1	NOUN
ejpam-4882	113	3	+	+	CCONJ
ejpam-4882	113	4	ξ(x−	ξ(x−	NOUN
ejpam-4882	113	5	µ)/σ]−1	µ)/σ]−1	ADP
ejpam-4882	113	6	/	/	SYM
ejpam-4882	113	7	ξ	ξ	NOUN
ejpam-4882	113	8	.	.	PUNCT
ejpam-4882	114	1	when	when	SCONJ
ejpam-4882	114	2	the	the	DET
ejpam-4882	114	3	random	random	ADJ
ejpam-4882	114	4	sample	sample	NOUN
ejpam-4882	115	1	x	x	NOUN
ejpam-4882	115	2	’s	’	NOUN
ejpam-4882	115	3	are	be	AUX
ejpam-4882	115	4	distributed	distribute	VERB
ejpam-4882	115	5	as	as	ADP
ejpam-4882	115	6	aptgev	aptgev	NOUN
ejpam-4882	115	7	,	,	PUNCT
ejpam-4882	115	8	the	the	DET
ejpam-4882	115	9	respective	respective	ADJ
ejpam-4882	115	10	likelihood	likelihood	NOUN
ejpam-4882	115	11	and	and	CCONJ
ejpam-4882	115	12	log	log	NOUN
ejpam-4882	115	13	-	-	PUNCT
ejpam-4882	115	14	likelihood	likelihood	NOUN
ejpam-4882	115	15	functions	function	NOUN
ejpam-4882	115	16	for	for	ADP
ejpam-4882	115	17	ξ	ξ	PROPN
ejpam-4882	115	18	→	→	SYM
ejpam-4882	115	19	0	0	NUM
ejpam-4882	115	20	can	can	AUX
ejpam-4882	115	21	be	be	AUX
ejpam-4882	115	22	described	describe	VERB
ejpam-4882	115	23	as	as	ADP
ejpam-4882	115	24	l(µ	l(µ	PROPN
ejpam-4882	115	25	,	,	PUNCT
ejpam-4882	115	26	σ	σ	PROPN
ejpam-4882	115	27	,	,	PUNCT
ejpam-4882	115	28	α;x	α;x	NUM
ejpam-4882	115	29	)	)	PUNCT
ejpam-4882	116	1	=	=	PUNCT
ejpam-4882	116	2	n∏	n∏	PROPN
ejpam-4882	116	3	i=1	i=1	PRON
ejpam-4882	116	4	logα	logα	VERB
ejpam-4882	116	5	α−	α−	ADP
ejpam-4882	116	6	1	1	NUM
ejpam-4882	116	7	σ−1	σ−1	PRON
ejpam-4882	116	8	exp[−(xi	exp[−(xi	NOUN
ejpam-4882	116	9	−	−	ADP
ejpam-4882	116	10	µ)/σ	µ)/σ	NOUN
ejpam-4882	116	11	]	]	PUNCT
ejpam-4882	116	12	exp{−	exp{−	PUNCT
ejpam-4882	116	13	exp[−(xi	exp[−(xi	NOUN
ejpam-4882	116	14	−	−	ADP
ejpam-4882	116	15	µ)/σ	µ)/σ	NOUN
ejpam-4882	116	16	]	]	PUNCT
ejpam-4882	116	17	}	}	PUNCT
ejpam-4882	116	18	αexp{−	αexp{−	NUM
ejpam-4882	116	19	exp[−(xi−µ)/σ	exp[−(xi−µ)/σ	NOUN
ejpam-4882	116	20	]	]	PUNCT
ejpam-4882	116	21	}	}	PUNCT
ejpam-4882	116	22	,	,	PUNCT
ejpam-4882	116	23	and	and	CCONJ
ejpam-4882	116	24	l(µ	l(µ	PROPN
ejpam-4882	116	25	,	,	PUNCT
ejpam-4882	116	26	σ	σ	PROPN
ejpam-4882	116	27	,	,	PUNCT
ejpam-4882	116	28	α;x	α;x	NUM
ejpam-4882	116	29	)	)	PUNCT
ejpam-4882	117	1	=	=	NOUN
ejpam-4882	117	2	n	n	PRON
ejpam-4882	117	3	log	log	NOUN
ejpam-4882	117	4	(	(	PUNCT
ejpam-4882	117	5	logα	logα	NOUN
ejpam-4882	117	6	σ(α−	σ(α−	PROPN
ejpam-4882	117	7	1	1	NUM
ejpam-4882	117	8	)	)	PUNCT
ejpam-4882	117	9	)	)	PUNCT
ejpam-4882	118	1	+	+	CCONJ
ejpam-4882	118	2	n∑	n∑	X
ejpam-4882	118	3	i=1	i=1	PROPN
ejpam-4882	118	4	(	(	PUNCT
ejpam-4882	118	5	−(xi	−(xi	PROPN
ejpam-4882	118	6	−	−	PROPN
ejpam-4882	118	7	µ)/σ)−	µ)/σ)−	PROPN
ejpam-4882	119	1	n∑	n∑	NOUN
ejpam-4882	119	2	i=1	i=1	X
ejpam-4882	120	1	exp(−(xi	exp(−(xi	PROPN
ejpam-4882	120	2	−	−	PROPN
ejpam-4882	120	3	µ)/σ	µ)/σ	PROPN
ejpam-4882	120	4	)	)	PUNCT
ejpam-4882	121	1	+	+	CCONJ
ejpam-4882	121	2	n∑	n∑	X
ejpam-4882	121	3	i=1	i=1	PROPN
ejpam-4882	122	1	exp(−	exp(−	PROPN
ejpam-4882	122	2	exp(−(xi	exp(−(xi	PROPN
ejpam-4882	122	3	−	−	PROPN
ejpam-4882	122	4	µ)/σ	µ)/σ	NOUN
ejpam-4882	122	5	)	)	PUNCT
ejpam-4882	122	6	)	)	PUNCT
ejpam-4882	123	1	log(α	log(α	PROPN
ejpam-4882	123	2	)	)	PUNCT
ejpam-4882	123	3	.	.	PUNCT
ejpam-4882	124	1	2.4	2.4	NUM
ejpam-4882	124	2	.	.	PUNCT
ejpam-4882	125	1	confidence	confidence	NOUN
ejpam-4882	125	2	interval	interval	NOUN
ejpam-4882	125	3	of	of	ADP
ejpam-4882	125	4	return	return	NOUN
ejpam-4882	125	5	level	level	NOUN
ejpam-4882	125	6	the	the	DET
ejpam-4882	125	7	confidence	confidence	NOUN
ejpam-4882	125	8	interval	interval	NOUN
ejpam-4882	125	9	of	of	ADP
ejpam-4882	125	10	the	the	DET
ejpam-4882	125	11	return	return	NOUN
ejpam-4882	125	12	level	level	NOUN
ejpam-4882	125	13	for	for	ADP
ejpam-4882	125	14	aptgev	aptgev	NOUN
ejpam-4882	125	15	distribution	distribution	NOUN
ejpam-4882	125	16	is	be	AUX
ejpam-4882	125	17	performed	perform	VERB
ejpam-4882	125	18	using	use	VERB
ejpam-4882	125	19	the	the	DET
ejpam-4882	125	20	delta	delta	NOUN
ejpam-4882	125	21	method	method	NOUN
ejpam-4882	125	22	as	as	ADP
ejpam-4882	125	23	v	v	PRON
ejpam-4882	125	24	ar(rt	ar(rt	PROPN
ejpam-4882	125	25	)	)	PUNCT
ejpam-4882	126	1	≈	≈	PROPN
ejpam-4882	126	2	▽	▽	PROPN
ejpam-4882	126	3	rt	rt	PROPN
ejpam-4882	126	4	tv	tv	PROPN
ejpam-4882	126	5	▽	▽	PROPN
ejpam-4882	126	6	rt	rt	PROPN
ejpam-4882	126	7	,	,	PUNCT
ejpam-4882	126	8	where	where	SCONJ
ejpam-4882	126	9	v	v	NOUN
ejpam-4882	126	10	is	be	AUX
ejpam-4882	126	11	a	a	DET
ejpam-4882	126	12	covariance	covariance	NOUN
ejpam-4882	126	13	matrix	matrix	NOUN
ejpam-4882	126	14	of	of	ADP
ejpam-4882	126	15	(	(	PUNCT
ejpam-4882	126	16	µ	µ	X
ejpam-4882	126	17	,	,	PUNCT
ejpam-4882	126	18	σ	σ	PROPN
ejpam-4882	126	19	,	,	PUNCT
ejpam-4882	126	20	ξ	ξ	PROPN
ejpam-4882	126	21	,	,	PUNCT
ejpam-4882	126	22	α)t	α)t	NOUN
ejpam-4882	126	23	and	and	CCONJ
ejpam-4882	126	24	▽	▽	ADJ
ejpam-4882	126	25	rt	rt	PROPN
ejpam-4882	126	26	t	t	NOUN
ejpam-4882	126	27	=	=	PUNCT
ejpam-4882	126	28	[	[	PUNCT
ejpam-4882	126	29	∂rt	∂rt	PROPN
ejpam-4882	126	30	∂µ	∂µ	PROPN
ejpam-4882	126	31	,	,	PUNCT
ejpam-4882	126	32	∂rt	∂rt	PROPN
ejpam-4882	126	33	∂σ	∂σ	PROPN
ejpam-4882	126	34	,	,	PUNCT
ejpam-4882	126	35	∂rt	∂rt	PROPN
ejpam-4882	126	36	∂ξ	∂ξ	PROPN
ejpam-4882	126	37	,	,	PUNCT
ejpam-4882	126	38	∂rt	∂rt	PROPN
ejpam-4882	126	39	∂α	∂α	PROPN
ejpam-4882	126	40	]	]	PUNCT
ejpam-4882	126	41	.	.	PUNCT
ejpam-4882	127	1	p.	p.	NOUN
ejpam-4882	127	2	khamrot	khamrot	PROPN
ejpam-4882	127	3	,	,	PUNCT
ejpam-4882	127	4	n.	n.	PROPN
ejpam-4882	127	5	deetae	deetae	PROPN
ejpam-4882	127	6	/	/	SYM
ejpam-4882	127	7	eur	eur	PROPN
ejpam-4882	127	8	.	.	PUNCT
ejpam-4882	128	1	j.	j.	PROPN
ejpam-4882	128	2	pure	pure	PROPN
ejpam-4882	128	3	appl	appl	PROPN
ejpam-4882	128	4	.	.	PROPN
ejpam-4882	128	5	math	math	PROPN
ejpam-4882	128	6	,	,	PUNCT
ejpam-4882	128	7	16	16	NUM
ejpam-4882	128	8	(	(	PUNCT
ejpam-4882	128	9	4	4	NUM
ejpam-4882	128	10	)	)	PUNCT
ejpam-4882	128	11	(	(	PUNCT
ejpam-4882	128	12	2023	2023	NUM
ejpam-4882	128	13	)	)	PUNCT
ejpam-4882	128	14	,	,	PUNCT
ejpam-4882	128	15	2461	2461	NUM
ejpam-4882	128	16	-	-	SYM
ejpam-4882	128	17	2475	2475	NUM
ejpam-4882	128	18	2468	2468	NUM
ejpam-4882	128	19	where	where	SCONJ
ejpam-4882	128	20	∂rt	∂rt	PROPN
ejpam-4882	128	21	∂µ	∂µ	PROPN
ejpam-4882	128	22	=	=	NOUN
ejpam-4882	128	23	1	1	NUM
ejpam-4882	128	24	,	,	PUNCT
ejpam-4882	128	25	∂rt	∂rt	PROPN
ejpam-4882	128	26	∂σ	∂σ	X
ejpam-4882	128	27	=	=	AUX
ejpam-4882	128	28	ξ−1((log(logα)−	ξ−1((log(logα)−	NOUN
ejpam-4882	128	29	log(log(u(α−	log(log(u(α−	NOUN
ejpam-4882	128	30	1	1	NUM
ejpam-4882	128	31	)	)	PUNCT
ejpam-4882	128	32	)	)	PUNCT
ejpam-4882	129	1	+	+	CCONJ
ejpam-4882	129	2	1))−ξ	1))−ξ	NUM
ejpam-4882	129	3	−	−	NUM
ejpam-4882	129	4	1	1	NUM
ejpam-4882	129	5	)	)	PUNCT
ejpam-4882	129	6	,	,	PUNCT
ejpam-4882	129	7	∂rt	∂rt	PROPN
ejpam-4882	129	8	∂ξ	∂ξ	PROPN
ejpam-4882	130	1	=	=	PRON
ejpam-4882	130	2	−	−	PROPN
ejpam-4882	130	3	σξ−1(log(logα)−	σξ−1(log(logα)−	NOUN
ejpam-4882	130	4	log(log(u(α−	log(log(u(α−	VERB
ejpam-4882	130	5	1	1	NUM
ejpam-4882	130	6	)	)	PUNCT
ejpam-4882	130	7	)	)	PUNCT
ejpam-4882	131	1	+	+	CCONJ
ejpam-4882	131	2	1))−ξ	1))−ξ	NUM
ejpam-4882	131	3	log(log(logα	log(log(logα	NOUN
ejpam-4882	131	4	)	)	PUNCT
ejpam-4882	131	5	−	−	ADP
ejpam-4882	131	6	log(log(u(α−	log(log(u(α−	NOUN
ejpam-4882	131	7	1	1	NUM
ejpam-4882	131	8	)	)	PUNCT
ejpam-4882	131	9	)	)	PUNCT
ejpam-4882	132	1	+	+	CCONJ
ejpam-4882	132	2	1))−	1))−	NUM
ejpam-4882	132	3	σξ−2(log(logα)−	σξ−2(log(logα)−	NOUN
ejpam-4882	132	4	log(log(u(α−	log(log(u(α−	VERB
ejpam-4882	132	5	1	1	NUM
ejpam-4882	132	6	)	)	PUNCT
ejpam-4882	132	7	)	)	PUNCT
ejpam-4882	133	1	+	+	CCONJ
ejpam-4882	133	2	1))−ξ	1))−ξ	NUM
ejpam-4882	133	3	+	+	CCONJ
ejpam-4882	133	4	σξ−2	σξ−2	NOUN
ejpam-4882	133	5	,	,	PUNCT
ejpam-4882	133	6	∂rt	∂rt	PROPN
ejpam-4882	133	7	∂α	∂α	PROPN
ejpam-4882	133	8	=	=	AUX
ejpam-4882	133	9	−	−	PROPN
ejpam-4882	133	10	σ(log(log(α))−	σ(log(log(α))−	NOUN
ejpam-4882	133	11	log(log(u(α−	log(log(u(α−	VERB
ejpam-4882	133	12	1	1	NUM
ejpam-4882	133	13	)	)	PUNCT
ejpam-4882	133	14	+	+	CCONJ
ejpam-4882	134	1	1)))−ξ−1	1)))−ξ−1	NUM
ejpam-4882	134	2	(	(	PUNCT
ejpam-4882	134	3	1	1	NUM
ejpam-4882	134	4	α	α	NOUN
ejpam-4882	134	5	log(α	log(α	PROPN
ejpam-4882	134	6	)	)	PUNCT
ejpam-4882	134	7	−	−	PROPN
ejpam-4882	134	8	u	u	NOUN
ejpam-4882	134	9	(	(	PUNCT
ejpam-4882	134	10	u(α−	u(α−	NOUN
ejpam-4882	134	11	1	1	NUM
ejpam-4882	134	12	)	)	PUNCT
ejpam-4882	134	13	+	+	NOUN
ejpam-4882	134	14	1	1	X
ejpam-4882	134	15	)	)	PUNCT
ejpam-4882	134	16	log(u(α−	log(u(α−	VERB
ejpam-4882	134	17	1	1	NUM
ejpam-4882	134	18	)	)	PUNCT
ejpam-4882	134	19	+	+	CCONJ
ejpam-4882	134	20	1	1	NUM
ejpam-4882	134	21	)	)	PUNCT
ejpam-4882	134	22	)	)	PUNCT
ejpam-4882	134	23	.	.	PUNCT
ejpam-4882	135	1	the	the	DET
ejpam-4882	135	2	wald	wald	PROPN
ejpam-4882	135	3	approach	approach	NOUN
ejpam-4882	135	4	is	be	AUX
ejpam-4882	135	5	a	a	DET
ejpam-4882	135	6	well	well	ADV
ejpam-4882	135	7	-	-	PUNCT
ejpam-4882	135	8	known	know	VERB
ejpam-4882	135	9	technique	technique	NOUN
ejpam-4882	135	10	regularly	regularly	ADV
ejpam-4882	135	11	employed	employ	VERB
ejpam-4882	135	12	in	in	ADP
ejpam-4882	135	13	constructing	construct	VERB
ejpam-4882	135	14	confidence	confidence	NOUN
ejpam-4882	135	15	intervals	interval	NOUN
ejpam-4882	135	16	for	for	ADP
ejpam-4882	135	17	a	a	DET
ejpam-4882	135	18	particular	particular	ADJ
ejpam-4882	135	19	parameter	parameter	NOUN
ejpam-4882	135	20	of	of	ADP
ejpam-4882	135	21	interest	interest	NOUN
ejpam-4882	135	22	.	.	PUNCT
ejpam-4882	136	1	when	when	SCONJ
ejpam-4882	136	2	performing	perform	VERB
ejpam-4882	136	3	extreme	extreme	ADJ
ejpam-4882	136	4	value	value	NOUN
ejpam-4882	136	5	analysis	analysis	NOUN
ejpam-4882	136	6	,	,	PUNCT
ejpam-4882	136	7	especially	especially	ADV
ejpam-4882	136	8	when	when	SCONJ
ejpam-4882	136	9	dealing	deal	VERB
ejpam-4882	136	10	with	with	ADP
ejpam-4882	136	11	aptgev	aptgev	NOUN
ejpam-4882	136	12	distributions	distribution	NOUN
ejpam-4882	136	13	,	,	PUNCT
ejpam-4882	136	14	the	the	DET
ejpam-4882	136	15	wald	wald	NOUN
ejpam-4882	136	16	method	method	NOUN
ejpam-4882	136	17	remains	remain	VERB
ejpam-4882	136	18	relevant	relevant	ADJ
ejpam-4882	136	19	.	.	PUNCT
ejpam-4882	137	1	it	it	PRON
ejpam-4882	137	2	facilitates	facilitate	VERB
ejpam-4882	137	3	the	the	DET
ejpam-4882	137	4	computation	computation	NOUN
ejpam-4882	137	5	of	of	ADP
ejpam-4882	137	6	the	the	DET
ejpam-4882	137	7	confidence	confidence	NOUN
ejpam-4882	137	8	interval	interval	NOUN
ejpam-4882	137	9	for	for	ADP
ejpam-4882	137	10	a	a	DET
ejpam-4882	137	11	desired	desire	VERB
ejpam-4882	137	12	parameter	parameter	NOUN
ejpam-4882	137	13	,	,	PUNCT
ejpam-4882	137	14	denoted	denote	VERB
ejpam-4882	137	15	by	by	ADP
ejpam-4882	137	16	θ	θ	PROPN
ejpam-4882	137	17	.	.	PUNCT
ejpam-4882	138	1	the	the	DET
ejpam-4882	138	2	confidence	confidence	NOUN
ejpam-4882	138	3	interval	interval	NOUN
ejpam-4882	138	4	is	be	AUX
ejpam-4882	138	5	determined	determine	VERB
ejpam-4882	138	6	using	use	VERB
ejpam-4882	138	7	the	the	DET
ejpam-4882	138	8	equation	equation	NOUN
ejpam-4882	138	9	θ±zα/2	θ±zα/2	NOUN
ejpam-4882	138	10	×	×	NOUN
ejpam-4882	138	11	√	√	NUM
ejpam-4882	138	12	v	v	ADP
ejpam-4882	138	13	ar(rt	ar(rt	PROPN
ejpam-4882	138	14	)	)	PUNCT
ejpam-4882	138	15	.	.	PUNCT
ejpam-4882	139	1	here	here	ADV
ejpam-4882	139	2	,	,	PUNCT
ejpam-4882	139	3	zα/2	zα/2	NOUN
ejpam-4882	139	4	represents	represent	VERB
ejpam-4882	139	5	the	the	DET
ejpam-4882	139	6	critical	critical	ADJ
ejpam-4882	139	7	value	value	NOUN
ejpam-4882	139	8	from	from	ADP
ejpam-4882	139	9	the	the	DET
ejpam-4882	139	10	standard	standard	ADJ
ejpam-4882	139	11	normal	normal	ADJ
ejpam-4882	139	12	distribution	distribution	NOUN
ejpam-4882	139	13	that	that	PRON
ejpam-4882	139	14	cuts	cut	VERB
ejpam-4882	139	15	off	off	ADP
ejpam-4882	139	16	the	the	DET
ejpam-4882	139	17	upper	upper	ADJ
ejpam-4882	139	18	α/2	α/2	NUM
ejpam-4882	139	19	area	area	NOUN
ejpam-4882	139	20	in	in	ADP
ejpam-4882	139	21	the	the	DET
ejpam-4882	139	22	tails	tail	NOUN
ejpam-4882	139	23	,	,	PUNCT
ejpam-4882	139	24	and	and	CCONJ
ejpam-4882	139	25	√	√	NUM
ejpam-4882	139	26	v	v	ADP
ejpam-4882	139	27	ar(rt	ar(rt	PROPN
ejpam-4882	139	28	)	)	PUNCT
ejpam-4882	139	29	is	be	AUX
ejpam-4882	139	30	the	the	DET
ejpam-4882	139	31	square	square	ADJ
ejpam-4882	139	32	root	root	NOUN
ejpam-4882	139	33	of	of	ADP
ejpam-4882	139	34	the	the	DET
ejpam-4882	139	35	estimated	estimate	VERB
ejpam-4882	139	36	variance	variance	NOUN
ejpam-4882	139	37	.	.	PUNCT
ejpam-4882	140	1	it	it	PRON
ejpam-4882	140	2	’s	’	VERB
ejpam-4882	140	3	worth	worth	ADJ
ejpam-4882	140	4	noting	note	VERB
ejpam-4882	140	5	that	that	SCONJ
ejpam-4882	140	6	this	this	DET
ejpam-4882	140	7	estimated	estimate	VERB
ejpam-4882	140	8	variance	variance	NOUN
ejpam-4882	140	9	,	,	PUNCT
ejpam-4882	140	10	denoted	denote	VERB
ejpam-4882	140	11	by	by	ADP
ejpam-4882	140	12	v	v	PROPN
ejpam-4882	140	13	ar(rt	ar(rt	PROPN
ejpam-4882	140	14	)	)	PUNCT
ejpam-4882	140	15	,	,	PUNCT
ejpam-4882	140	16	is	be	AUX
ejpam-4882	140	17	derived	derive	VERB
ejpam-4882	140	18	using	use	VERB
ejpam-4882	140	19	the	the	DET
ejpam-4882	140	20	delta	delta	NOUN
ejpam-4882	140	21	method	method	NOUN
ejpam-4882	140	22	,	,	PUNCT
ejpam-4882	140	23	a	a	DET
ejpam-4882	140	24	common	common	ADJ
ejpam-4882	140	25	statistical	statistical	ADJ
ejpam-4882	140	26	technique	technique	NOUN
ejpam-4882	140	27	used	use	VERB
ejpam-4882	140	28	for	for	ADP
ejpam-4882	140	29	approximating	approximate	VERB
ejpam-4882	140	30	the	the	DET
ejpam-4882	140	31	variance	variance	NOUN
ejpam-4882	140	32	of	of	ADP
ejpam-4882	140	33	a	a	DET
ejpam-4882	140	34	function	function	NOUN
ejpam-4882	140	35	of	of	ADP
ejpam-4882	140	36	a	a	DET
ejpam-4882	140	37	random	random	ADJ
ejpam-4882	140	38	variable	variable	NOUN
ejpam-4882	140	39	.	.	PUNCT
ejpam-4882	141	1	3	3	X
ejpam-4882	141	2	.	.	X
ejpam-4882	141	3	simulation	simulation	NOUN
ejpam-4882	141	4	study	study	NOUN
ejpam-4882	141	5	this	this	DET
ejpam-4882	141	6	section	section	NOUN
ejpam-4882	141	7	discusses	discuss	VERB
ejpam-4882	141	8	implementing	implement	VERB
ejpam-4882	141	9	a	a	DET
ejpam-4882	141	10	monte	monte	PROPN
ejpam-4882	141	11	carlo	carlo	PROPN
ejpam-4882	141	12	simulation	simulation	PROPN
ejpam-4882	141	13	study	study	NOUN
ejpam-4882	141	14	to	to	PART
ejpam-4882	141	15	ascertain	ascertain	VERB
ejpam-4882	141	16	the	the	DET
ejpam-4882	141	17	efficacy	efficacy	NOUN
ejpam-4882	141	18	of	of	ADP
ejpam-4882	141	19	maximum	maximum	ADJ
ejpam-4882	141	20	likelihood	likelihood	NOUN
ejpam-4882	141	21	estimates	estimate	NOUN
ejpam-4882	141	22	(	(	PUNCT
ejpam-4882	141	23	mles	mle	NOUN
ejpam-4882	141	24	)	)	PUNCT
ejpam-4882	141	25	applied	apply	VERB
ejpam-4882	141	26	to	to	ADP
ejpam-4882	141	27	the	the	DET
ejpam-4882	141	28	asymmetric	asymmetric	ADJ
ejpam-4882	141	29	aptgev	aptgev	NOUN
ejpam-4882	141	30	distribution	distribution	NOUN
ejpam-4882	141	31	.	.	PUNCT
ejpam-4882	142	1	the	the	DET
ejpam-4882	142	2	inverse	inverse	ADJ
ejpam-4882	142	3	cumulative	cumulative	ADJ
ejpam-4882	142	4	distribution	distribution	NOUN
ejpam-4882	142	5	function	function	NOUN
ejpam-4882	142	6	technique	technique	NOUN
ejpam-4882	142	7	produces	produce	VERB
ejpam-4882	142	8	random	random	ADJ
ejpam-4882	142	9	samples	sample	NOUN
ejpam-4882	142	10	corresponding	correspond	VERB
ejpam-4882	142	11	to	to	ADP
ejpam-4882	142	12	the	the	DET
ejpam-4882	142	13	aptgev	aptgev	NOUN
ejpam-4882	142	14	distribution	distribution	NOUN
ejpam-4882	142	15	.	.	PUNCT
ejpam-4882	143	1	this	this	DET
ejpam-4882	143	2	study	study	NOUN
ejpam-4882	143	3	uses	use	VERB
ejpam-4882	143	4	the	the	DET
ejpam-4882	143	5	r	r	NOUN
ejpam-4882	143	6	programming	programming	NOUN
ejpam-4882	143	7	language	language	NOUN
ejpam-4882	143	8	to	to	PART
ejpam-4882	143	9	conduct	conduct	VERB
ejpam-4882	143	10	simulations	simulation	NOUN
ejpam-4882	143	11	and	and	CCONJ
ejpam-4882	143	12	generate	generate	VERB
ejpam-4882	143	13	the	the	DET
ejpam-4882	143	14	resulting	result	VERB
ejpam-4882	143	15	data	datum	NOUN
ejpam-4882	143	16	.	.	PUNCT
ejpam-4882	144	1	the	the	DET
ejpam-4882	144	2	simulation	simulation	NOUN
ejpam-4882	144	3	is	be	AUX
ejpam-4882	144	4	performed	perform	VERB
ejpam-4882	144	5	n	n	PROPN
ejpam-4882	144	6	=	=	NUM
ejpam-4882	144	7	1,000	1,000	NUM
ejpam-4882	144	8	times	time	NOUN
ejpam-4882	144	9	on	on	ADP
ejpam-4882	144	10	the	the	DET
ejpam-4882	144	11	artificial	artificial	ADJ
ejpam-4882	144	12	data	datum	NOUN
ejpam-4882	144	13	.	.	PUNCT
ejpam-4882	145	1	multiple	multiple	ADJ
ejpam-4882	145	2	sample	sample	NOUN
ejpam-4882	145	3	sizes	size	NOUN
ejpam-4882	145	4	n	n	NOUN
ejpam-4882	145	5	=	=	SYM
ejpam-4882	145	6	25	25	NUM
ejpam-4882	145	7	,	,	PUNCT
ejpam-4882	145	8	50	50	NUM
ejpam-4882	145	9	,	,	PUNCT
ejpam-4882	145	10	100	100	NUM
ejpam-4882	145	11	,	,	PUNCT
ejpam-4882	145	12	500	500	NUM
ejpam-4882	145	13	,	,	PUNCT
ejpam-4882	145	14	and	and	CCONJ
ejpam-4882	145	15	1,000	1,000	NUM
ejpam-4882	145	16	are	be	AUX
ejpam-4882	145	17	derived	derive	VERB
ejpam-4882	145	18	from	from	ADP
ejpam-4882	145	19	the	the	DET
ejpam-4882	145	20	aptgev	aptgev	NOUN
ejpam-4882	145	21	distribution	distribution	NOUN
ejpam-4882	145	22	via	via	ADP
ejpam-4882	145	23	the	the	DET
ejpam-4882	145	24	inverse	inverse	NOUN
ejpam-4882	145	25	cdf	cdf	NOUN
ejpam-4882	145	26	technique	technique	NOUN
ejpam-4882	145	27	.	.	PUNCT
ejpam-4882	146	1	subsequently	subsequently	ADV
ejpam-4882	146	2	,	,	PUNCT
ejpam-4882	146	3	the	the	DET
ejpam-4882	146	4	newton	newton	PROPN
ejpam-4882	146	5	-	-	PUNCT
ejpam-4882	146	6	raphson	raphson	PROPN
ejpam-4882	146	7	method	method	NOUN
ejpam-4882	146	8	is	be	AUX
ejpam-4882	146	9	employed	employ	VERB
ejpam-4882	146	10	with	with	ADP
ejpam-4882	146	11	the	the	DET
ejpam-4882	146	12	maximum	maximum	ADJ
ejpam-4882	146	13	likelihood	likelihood	NOUN
ejpam-4882	146	14	estimation	estimation	NOUN
ejpam-4882	146	15	technique	technique	NOUN
ejpam-4882	146	16	to	to	PART
ejpam-4882	146	17	compute	compute	VERB
ejpam-4882	146	18	the	the	DET
ejpam-4882	146	19	estimated	estimate	VERB
ejpam-4882	146	20	parameter	parameter	NOUN
ejpam-4882	146	21	values	value	NOUN
ejpam-4882	146	22	.	.	PUNCT
ejpam-4882	147	1	the	the	DET
ejpam-4882	147	2	entire	entire	ADJ
ejpam-4882	147	3	process	process	NOUN
ejpam-4882	147	4	is	be	AUX
ejpam-4882	147	5	repeated	repeat	VERB
ejpam-4882	147	6	for	for	ADP
ejpam-4882	147	7	all	all	DET
ejpam-4882	147	8	parameters	parameter	NOUN
ejpam-4882	147	9	,	,	PUNCT
ejpam-4882	147	10	facilitating	facilitate	VERB
ejpam-4882	147	11	the	the	DET
ejpam-4882	147	12	calculation	calculation	NOUN
ejpam-4882	147	13	of	of	ADP
ejpam-4882	147	14	the	the	DET
ejpam-4882	147	15	biases	bias	NOUN
ejpam-4882	147	16	and	and	CCONJ
ejpam-4882	147	17	mean	mean	VERB
ejpam-4882	147	18	squared	square	VERB
ejpam-4882	147	19	errors	error	NOUN
ejpam-4882	147	20	(	(	PUNCT
ejpam-4882	147	21	mses	ms	NOUN
ejpam-4882	147	22	)	)	PUNCT
ejpam-4882	147	23	for	for	ADP
ejpam-4882	147	24	the	the	DET
ejpam-4882	147	25	aptgev	aptgev	NOUN
ejpam-4882	147	26	distribution	distribution	NOUN
ejpam-4882	147	27	in	in	ADP
ejpam-4882	147	28	table	table	NOUN
ejpam-4882	147	29	2	2	NUM
ejpam-4882	147	30	.	.	PUNCT
ejpam-4882	147	31	upon	upon	SCONJ
ejpam-4882	147	32	scrutinizing	scrutinize	VERB
ejpam-4882	147	33	the	the	DET
ejpam-4882	147	34	simulation	simulation	NOUN
ejpam-4882	147	35	results	result	NOUN
ejpam-4882	147	36	,	,	PUNCT
ejpam-4882	147	37	it	it	PRON
ejpam-4882	147	38	becomes	become	VERB
ejpam-4882	147	39	evident	evident	ADJ
ejpam-4882	147	40	that	that	SCONJ
ejpam-4882	147	41	the	the	DET
ejpam-4882	147	42	estimated	estimate	VERB
ejpam-4882	147	43	values	value	NOUN
ejpam-4882	147	44	for	for	ADP
ejpam-4882	147	45	all	all	DET
ejpam-4882	147	46	parameters	parameter	NOUN
ejpam-4882	147	47	closely	closely	ADV
ejpam-4882	147	48	match	match	VERB
ejpam-4882	147	49	the	the	DET
ejpam-4882	147	50	pre	pre	ADJ
ejpam-4882	147	51	-	-	ADJ
ejpam-4882	147	52	defined	define	VERB
ejpam-4882	147	53	ones	one	NOUN
ejpam-4882	147	54	,	,	PUNCT
ejpam-4882	147	55	signifying	signify	VERB
ejpam-4882	147	56	a	a	DET
ejpam-4882	147	57	remarkable	remarkable	ADJ
ejpam-4882	147	58	level	level	NOUN
ejpam-4882	147	59	of	of	ADP
ejpam-4882	147	60	accuracy	accuracy	NOUN
ejpam-4882	147	61	.	.	PUNCT
ejpam-4882	148	1	moreover	moreover	ADV
ejpam-4882	148	2	,	,	PUNCT
ejpam-4882	148	3	an	an	DET
ejpam-4882	148	4	intriguing	intriguing	ADJ
ejpam-4882	148	5	pattern	pattern	NOUN
ejpam-4882	148	6	is	be	AUX
ejpam-4882	148	7	discernible	discernible	ADJ
ejpam-4882	148	8	when	when	SCONJ
ejpam-4882	148	9	analyzing	analyze	VERB
ejpam-4882	148	10	the	the	DET
ejpam-4882	148	11	mean	mean	ADJ
ejpam-4882	148	12	squared	square	VERB
ejpam-4882	148	13	errors	error	NOUN
ejpam-4882	148	14	(	(	PUNCT
ejpam-4882	148	15	mses	ms	NOUN
ejpam-4882	148	16	)	)	PUNCT
ejpam-4882	148	17	for	for	ADP
ejpam-4882	148	18	all	all	DET
ejpam-4882	148	19	parameters	parameter	NOUN
ejpam-4882	148	20	:	:	PUNCT
ejpam-4882	148	21	they	they	PRON
ejpam-4882	148	22	consistently	consistently	ADV
ejpam-4882	148	23	converge	converge	VERB
ejpam-4882	148	24	toward	toward	ADP
ejpam-4882	148	25	zero	zero	NUM
ejpam-4882	148	26	.	.	PUNCT
ejpam-4882	149	1	this	this	DET
ejpam-4882	149	2	consistent	consistent	ADJ
ejpam-4882	149	3	tendency	tendency	NOUN
ejpam-4882	149	4	suggests	suggest	VERB
ejpam-4882	149	5	an	an	DET
ejpam-4882	149	6	increasing	increase	VERB
ejpam-4882	149	7	precision	precision	NOUN
ejpam-4882	149	8	in	in	ADP
ejpam-4882	149	9	the	the	DET
ejpam-4882	149	10	estimates	estimate	NOUN
ejpam-4882	149	11	,	,	PUNCT
ejpam-4882	149	12	a	a	DET
ejpam-4882	149	13	trend	trend	NOUN
ejpam-4882	149	14	vividly	vividly	ADV
ejpam-4882	149	15	illustrated	illustrate	VERB
ejpam-4882	149	16	in	in	ADP
ejpam-4882	149	17	p.	p.	PROPN
ejpam-4882	149	18	khamrot	khamrot	PROPN
ejpam-4882	149	19	,	,	PUNCT
ejpam-4882	149	20	n.	n.	PROPN
ejpam-4882	149	21	deetae	deetae	PROPN
ejpam-4882	149	22	/	/	SYM
ejpam-4882	149	23	eur	eur	PROPN
ejpam-4882	149	24	.	.	PUNCT
ejpam-4882	150	1	j.	j.	PROPN
ejpam-4882	150	2	pure	pure	PROPN
ejpam-4882	150	3	appl	appl	PROPN
ejpam-4882	150	4	.	.	PROPN
ejpam-4882	150	5	math	math	PROPN
ejpam-4882	150	6	,	,	PUNCT
ejpam-4882	150	7	16	16	NUM
ejpam-4882	150	8	(	(	PUNCT
ejpam-4882	150	9	4	4	NUM
ejpam-4882	150	10	)	)	PUNCT
ejpam-4882	150	11	(	(	PUNCT
ejpam-4882	150	12	2023	2023	NUM
ejpam-4882	150	13	)	)	PUNCT
ejpam-4882	150	14	,	,	PUNCT
ejpam-4882	150	15	2461	2461	NUM
ejpam-4882	150	16	-	-	SYM
ejpam-4882	150	17	2475	2475	NUM
ejpam-4882	150	18	2469	2469	NUM
ejpam-4882	150	19	table	table	NOUN
ejpam-4882	150	20	2	2	NUM
ejpam-4882	150	21	.	.	PUNCT
ejpam-4882	151	1	the	the	DET
ejpam-4882	151	2	biases	bias	NOUN
ejpam-4882	151	3	of	of	ADP
ejpam-4882	151	4	µ	µ	NUM
ejpam-4882	151	5	,	,	PUNCT
ejpam-4882	151	6	σ	σ	PROPN
ejpam-4882	151	7	,	,	PUNCT
ejpam-4882	151	8	and	and	CCONJ
ejpam-4882	151	9	ξ	ξ	X
ejpam-4882	151	10	tend	tend	VERB
ejpam-4882	151	11	to	to	PART
ejpam-4882	151	12	decrease	decrease	VERB
ejpam-4882	151	13	as	as	ADP
ejpam-4882	151	14	the	the	DET
ejpam-4882	151	15	sample	sample	NOUN
ejpam-4882	151	16	size	size	NOUN
ejpam-4882	151	17	increases	increase	VERB
ejpam-4882	151	18	while	while	SCONJ
ejpam-4882	151	19	the	the	DET
ejpam-4882	151	20	bias	bias	NOUN
ejpam-4882	151	21	of	of	ADP
ejpam-4882	151	22	α	α	PRON
ejpam-4882	151	23	increases	increase	NOUN
ejpam-4882	151	24	.	.	PUNCT
ejpam-4882	152	1	the	the	DET
ejpam-4882	152	2	estimated	estimate	VERB
ejpam-4882	152	3	values	value	NOUN
ejpam-4882	152	4	of	of	ADP
ejpam-4882	152	5	all	all	DET
ejpam-4882	152	6	four	four	NUM
ejpam-4882	152	7	parameters	parameter	NOUN
ejpam-4882	152	8	in	in	ADP
ejpam-4882	152	9	table	table	NOUN
ejpam-4882	152	10	2	2	NUM
ejpam-4882	152	11	are	be	AUX
ejpam-4882	152	12	rather	rather	ADV
ejpam-4882	152	13	consistent	consistent	ADJ
ejpam-4882	152	14	across	across	ADP
ejpam-4882	152	15	sample	sample	NOUN
ejpam-4882	152	16	sizes	size	NOUN
ejpam-4882	152	17	,	,	PUNCT
ejpam-4882	152	18	and	and	CCONJ
ejpam-4882	152	19	figure	figure	VERB
ejpam-4882	152	20	2	2	NUM
ejpam-4882	152	21	shows	show	VERB
ejpam-4882	152	22	a	a	DET
ejpam-4882	152	23	histogram	histogram	NOUN
ejpam-4882	152	24	of	of	ADP
ejpam-4882	152	25	one	one	NUM
ejpam-4882	152	26	simulated	simulated	ADJ
ejpam-4882	152	27	sample	sample	NOUN
ejpam-4882	152	28	(	(	PUNCT
ejpam-4882	152	29	for	for	ADP
ejpam-4882	152	30	example	example	NOUN
ejpam-4882	152	31	,	,	PUNCT
ejpam-4882	152	32	n=500	n=500	NUM
ejpam-4882	152	33	)	)	PUNCT
ejpam-4882	152	34	and	and	CCONJ
ejpam-4882	152	35	its	its	PRON
ejpam-4882	152	36	estimated	estimate	VERB
ejpam-4882	152	37	density	density	NOUN
ejpam-4882	152	38	.	.	PUNCT
ejpam-4882	153	1	table	table	NOUN
ejpam-4882	153	2	2	2	NUM
ejpam-4882	153	3	:	:	PUNCT
ejpam-4882	153	4	simulation	simulation	NOUN
ejpam-4882	153	5	for	for	ADP
ejpam-4882	153	6	aptgev	aptgev	NOUN
ejpam-4882	153	7	distribution	distribution	NOUN
ejpam-4882	153	8	for	for	ADP
ejpam-4882	153	9	some	some	DET
ejpam-4882	153	10	parameter	parameter	NOUN
ejpam-4882	153	11	values	value	NOUN
ejpam-4882	153	12	with	with	ADP
ejpam-4882	153	13	µ	µ	NOUN
ejpam-4882	153	14	=	=	SYM
ejpam-4882	153	15	0.3	0.3	NUM
ejpam-4882	153	16	,	,	PUNCT
ejpam-4882	153	17	σ	σ	NOUN
ejpam-4882	153	18	=	=	SYM
ejpam-4882	153	19	0.1	0.1	NUM
ejpam-4882	153	20	,	,	PUNCT
ejpam-4882	153	21	ξ	ξ	X
ejpam-4882	153	22	=	=	SYM
ejpam-4882	153	23	0.5	0.5	NUM
ejpam-4882	153	24	,	,	PUNCT
ejpam-4882	153	25	α	α	NOUN
ejpam-4882	153	26	=	=	SYM
ejpam-4882	153	27	3	3	NUM
ejpam-4882	153	28	parameter	parameter	NOUN
ejpam-4882	153	29	n	n	PROPN
ejpam-4882	153	30	µ	µ	PROPN
ejpam-4882	153	31	σ	σ	X
ejpam-4882	153	32	ξ	ξ	PROPN
ejpam-4882	153	33	α	α	NUM
ejpam-4882	153	34	25	25	NUM
ejpam-4882	153	35	mle	mle	PROPN
ejpam-4882	153	36	0.31030	0.31030	NUM
ejpam-4882	153	37	0.13808	0.13808	NUM
ejpam-4882	153	38	0.37270	0.37270	NUM
ejpam-4882	153	39	2.56052	2.56052	NUM
ejpam-4882	153	40	mses	ms	NOUN
ejpam-4882	153	41	0.00092	0.00092	NUM
ejpam-4882	153	42	0.00331	0.00331	NUM
ejpam-4882	153	43	0.05837	0.05837	NUM
ejpam-4882	153	44	0.88913	0.88913	NUM
ejpam-4882	153	45	biase	biase	ADJ
ejpam-4882	153	46	0.01030	0.01030	NUM
ejpam-4882	153	47	0.03808	0.03808	NUM
ejpam-4882	153	48	-0.12730	-0.12730	NOUN
ejpam-4882	153	49	-0.43948	-0.43948	VERB
ejpam-4882	153	50	50	50	NUM
ejpam-4882	153	51	mle	mle	NOUN
ejpam-4882	153	52	0.30244	0.30244	NUM
ejpam-4882	153	53	0.11523	0.11523	NUM
ejpam-4882	153	54	0.45811	0.45811	NUM
ejpam-4882	153	55	2.96645	2.96645	NUM
ejpam-4882	153	56	mses	ms	NOUN
ejpam-4882	153	57	0.00023	0.00023	NUM
ejpam-4882	153	58	0.00107	0.00107	NUM
ejpam-4882	153	59	0.02139	0.02139	NUM
ejpam-4882	153	60	0.38388	0.38388	NUM
ejpam-4882	153	61	biase	biase	ADJ
ejpam-4882	153	62	0.00244	0.00244	NUM
ejpam-4882	153	63	0.01523	0.01523	NUM
ejpam-4882	153	64	-0.04189	-0.04189	NOUN
ejpam-4882	153	65	-0.03355	-0.03355	NOUN
ejpam-4882	153	66	100	100	NUM
ejpam-4882	153	67	mle	mle	NOUN
ejpam-4882	153	68	0.30231	0.30231	NUM
ejpam-4882	153	69	0.10770	0.10770	NUM
ejpam-4882	153	70	0.47998	0.47998	NUM
ejpam-4882	153	71	3.10213	3.10213	NUM
ejpam-4882	153	72	mses	mse	VERB
ejpam-4882	153	73	0.00011	0.00011	NUM
ejpam-4882	153	74	0.00052	0.00052	NUM
ejpam-4882	153	75	0.01131	0.01131	NUM
ejpam-4882	154	1	0.23723	0.23723	NUM
ejpam-4882	154	2	biase	biase	ADJ
ejpam-4882	154	3	0.00231	0.00231	NUM
ejpam-4882	154	4	0.00770	0.00770	NUM
ejpam-4882	154	5	-0.02002	-0.02002	NOUN
ejpam-4882	154	6	0.10213	0.10213	NUM
ejpam-4882	154	7	500	500	NUM
ejpam-4882	154	8	mle	mle	NOUN
ejpam-4882	154	9	0.30183	0.30183	NUM
ejpam-4882	154	10	0.10122	0.10122	NUM
ejpam-4882	154	11	0.50090	0.50090	NUM
ejpam-4882	154	12	3.21792	3.21792	NUM
ejpam-4882	154	13	mses	ms	NOUN
ejpam-4882	154	14	0.00003	0.00003	NUM
ejpam-4882	154	15	0.00008	0.00008	NUM
ejpam-4882	154	16	0.00196	0.00196	NUM
ejpam-4882	154	17	0.08718	0.08718	NUM
ejpam-4882	154	18	biase	biase	VERB
ejpam-4882	154	19	0.00211	0.00211	NUM
ejpam-4882	154	20	0.00144	0.00144	NUM
ejpam-4882	154	21	-0.00082	-0.00082	NOUN
ejpam-4882	154	22	0.20959	0.20959	NUM
ejpam-4882	154	23	1000	1000	NUM
ejpam-4882	154	24	mle	mle	NOUN
ejpam-4882	154	25	0.30215	0.30215	NUM
ejpam-4882	154	26	0.10047	0.10047	NUM
ejpam-4882	154	27	0.50376	0.50376	NUM
ejpam-4882	154	28	3.21847	3.21847	NUM
ejpam-4882	154	29	mses	ms	NOUN
ejpam-4882	154	30	0.00002	0.00002	NUM
ejpam-4882	154	31	0.00004	0.00004	NUM
ejpam-4882	154	32	0.00104	0.00104	NUM
ejpam-4882	155	1	0.06933	0.06933	NUM
ejpam-4882	155	2	biase	biase	ADJ
ejpam-4882	155	3	0.00204	0.00204	NUM
ejpam-4882	155	4	0.00064	0.00064	NUM
ejpam-4882	155	5	0.00323	0.00323	NUM
ejpam-4882	155	6	0.21631	0.21631	NUM
ejpam-4882	155	7	4	4	NUM
ejpam-4882	155	8	.	.	PUNCT
ejpam-4882	155	9	application	application	NOUN
ejpam-4882	155	10	of	of	ADP
ejpam-4882	155	11	rainfall	rainfall	NOUN
ejpam-4882	155	12	this	this	DET
ejpam-4882	155	13	study	study	NOUN
ejpam-4882	155	14	applies	apply	VERB
ejpam-4882	155	15	the	the	DET
ejpam-4882	155	16	proposed	propose	VERB
ejpam-4882	155	17	aptgev	aptgev	NOUN
ejpam-4882	155	18	distributions	distribution	NOUN
ejpam-4882	155	19	to	to	ADP
ejpam-4882	155	20	the	the	DET
ejpam-4882	155	21	highest	high	ADJ
ejpam-4882	155	22	monthly	monthly	ADJ
ejpam-4882	155	23	rainfall	rainfall	NOUN
ejpam-4882	155	24	data	datum	NOUN
ejpam-4882	155	25	in	in	ADP
ejpam-4882	155	26	sukhothai	sukhothai	PROPN
ejpam-4882	155	27	province	province	PROPN
ejpam-4882	155	28	,	,	PUNCT
ejpam-4882	155	29	thailand	thailand	PROPN
ejpam-4882	155	30	,	,	PUNCT
ejpam-4882	155	31	during	during	ADP
ejpam-4882	155	32	1987	1987	NUM
ejpam-4882	155	33	–	–	PUNCT
ejpam-4882	155	34	2021	2021	NUM
ejpam-4882	155	35	.	.	PUNCT
ejpam-4882	156	1	weather	weather	NOUN
ejpam-4882	156	2	station	station	NOUN
ejpam-4882	156	3	373301si	373301si	PROPN
ejpam-4882	156	4	samrong	samrong	PROPN
ejpam-4882	156	5	district	district	PROPN
ejpam-4882	156	6	sukhothai	sukhothai	PROPN
ejpam-4882	156	7	province	province	PROPN
ejpam-4882	156	8	collects	collect	VERB
ejpam-4882	156	9	data	datum	NOUN
ejpam-4882	156	10	from	from	ADP
ejpam-4882	156	11	the	the	DET
ejpam-4882	156	12	thailand	thailand	PROPN
ejpam-4882	156	13	meteorological	meteorological	PROPN
ejpam-4882	156	14	department	department	PROPN
ejpam-4882	156	15	,	,	PUNCT
ejpam-4882	156	16	covering	cover	VERB
ejpam-4882	156	17	an	an	DET
ejpam-4882	156	18	area	area	NOUN
ejpam-4882	156	19	of	of	ADP
ejpam-4882	156	20	6,596	6,596	NUM
ejpam-4882	156	21	square	square	ADJ
ejpam-4882	156	22	kilometers	kilometer	NOUN
ejpam-4882	156	23	(	(	PUNCT
ejpam-4882	156	24	4,122,557.5	4,122,557.5	NUM
ejpam-4882	156	25	rai	rai	NOUN
ejpam-4882	156	26	)	)	PUNCT
ejpam-4882	156	27	.	.	PUNCT
ejpam-4882	157	1	the	the	DET
ejpam-4882	157	2	rainy	rainy	ADJ
ejpam-4882	157	3	season	season	NOUN
ejpam-4882	157	4	starts	start	VERB
ejpam-4882	157	5	around	around	ADV
ejpam-4882	157	6	may	may	PROPN
ejpam-4882	157	7	october	october	PROPN
ejpam-4882	157	8	,	,	PUNCT
ejpam-4882	157	9	which	which	PRON
ejpam-4882	157	10	is	be	AUX
ejpam-4882	157	11	the	the	DET
ejpam-4882	157	12	period	period	NOUN
ejpam-4882	157	13	when	when	SCONJ
ejpam-4882	157	14	the	the	DET
ejpam-4882	157	15	southwest	southwest	ADJ
ejpam-4882	157	16	monsoon	monsoon	NOUN
ejpam-4882	157	17	winds	wind	NOUN
ejpam-4882	157	18	.	.	PUNCT
ejpam-4882	158	1	which	which	PRON
ejpam-4882	158	2	is	be	AUX
ejpam-4882	158	3	hot	hot	ADJ
ejpam-4882	158	4	and	and	CCONJ
ejpam-4882	158	5	humid	humid	NOUN
ejpam-4882	158	6	,	,	PUNCT
ejpam-4882	158	7	blowing	blow	VERB
ejpam-4882	158	8	from	from	ADP
ejpam-4882	158	9	the	the	DET
ejpam-4882	158	10	indian	indian	ADJ
ejpam-4882	158	11	ocean	ocean	PROPN
ejpam-4882	158	12	into	into	ADP
ejpam-4882	158	13	thailand	thailand	PROPN
ejpam-4882	158	14	.	.	PUNCT
ejpam-4882	159	1	the	the	DET
ejpam-4882	159	2	rain	rain	NOUN
ejpam-4882	159	3	began	begin	VERB
ejpam-4882	159	4	to	to	PART
ejpam-4882	159	5	fall	fall	VERB
ejpam-4882	159	6	a	a	DET
ejpam-4882	159	7	lot	lot	NOUN
ejpam-4882	159	8	around	around	ADP
ejpam-4882	159	9	the	the	DET
ejpam-4882	159	10	middle	middle	NOUN
ejpam-4882	159	11	of	of	ADP
ejpam-4882	159	12	may	may	PROPN
ejpam-4882	159	13	onwards	onwards	ADV
ejpam-4882	159	14	.	.	PUNCT
ejpam-4882	160	1	the	the	DET
ejpam-4882	160	2	rainiest	rainy	ADJ
ejpam-4882	160	3	month	month	NOUN
ejpam-4882	160	4	is	be	AUX
ejpam-4882	160	5	september	september	PROPN
ejpam-4882	160	6	,	,	PUNCT
ejpam-4882	160	7	with	with	ADP
ejpam-4882	160	8	an	an	DET
ejpam-4882	160	9	average	average	ADJ
ejpam-4882	160	10	rainfall	rainfall	NOUN
ejpam-4882	160	11	of	of	ADP
ejpam-4882	160	12	1,259.2	1,259.2	NUM
ejpam-4882	160	13	millimeters	millimeter	NOUN
ejpam-4882	160	14	per	per	ADP
ejpam-4882	160	15	year	year	NOUN
ejpam-4882	160	16	.	.	PUNCT
ejpam-4882	161	1	the	the	DET
ejpam-4882	161	2	temperature	temperature	NOUN
ejpam-4882	161	3	varies	vary	VERB
ejpam-4882	161	4	in	in	ADP
ejpam-4882	161	5	the	the	DET
ejpam-4882	161	6	range	range	NOUN
ejpam-4882	161	7	of	of	ADP
ejpam-4882	161	8	19	19	NUM
ejpam-4882	161	9	°	°	NOUN
ejpam-4882	161	10	c	c	NOUN
ejpam-4882	161	11	to	to	ADP
ejpam-4882	161	12	37	37	NUM
ejpam-4882	161	13	°	°	NOUN
ejpam-4882	161	14	c	c	NOUN
ejpam-4882	161	15	and	and	CCONJ
ejpam-4882	161	16	very	very	ADV
ejpam-4882	161	17	rarely	rarely	ADV
ejpam-4882	161	18	below	below	ADP
ejpam-4882	161	19	16	16	NUM
ejpam-4882	161	20	°	°	NOUN
ejpam-4882	161	21	c	c	NOUN
ejpam-4882	161	22	or	or	CCONJ
ejpam-4882	161	23	above	above	ADP
ejpam-4882	161	24	39	39	NUM
ejpam-4882	161	25	°	°	NOUN
ejpam-4882	161	26	c	c	NOUN
ejpam-4882	161	27	.	.	PUNCT
ejpam-4882	162	1	with	with	ADP
ejpam-4882	162	2	176	176	NUM
ejpam-4882	162	3	observations	observation	NOUN
ejpam-4882	162	4	,	,	PUNCT
ejpam-4882	162	5	the	the	DET
ejpam-4882	162	6	maximum	maximum	ADJ
ejpam-4882	162	7	rainfall	rainfall	NOUN
ejpam-4882	162	8	is	be	AUX
ejpam-4882	162	9	176.70	176.70	NUM
ejpam-4882	162	10	mm	mm	NOUN
ejpam-4882	162	11	,	,	PUNCT
ejpam-4882	162	12	with	with	ADP
ejpam-4882	162	13	a	a	DET
ejpam-4882	162	14	means	means	NOUN
ejpam-4882	162	15	of	of	ADP
ejpam-4882	162	16	57.41	57.41	NUM
ejpam-4882	162	17	mm	mm	NOUN
ejpam-4882	162	18	and	and	CCONJ
ejpam-4882	162	19	a	a	DET
ejpam-4882	162	20	standard	standard	ADJ
ejpam-4882	162	21	deviation	deviation	NOUN
ejpam-4882	162	22	of	of	ADP
ejpam-4882	162	23	25.42	25.42	NUM
ejpam-4882	162	24	mm	mm	NOUN
ejpam-4882	162	25	.	.	PUNCT
ejpam-4882	163	1	for	for	ADP
ejpam-4882	163	2	parameter	parameter	NOUN
ejpam-4882	163	3	estimation	estimation	NOUN
ejpam-4882	163	4	in	in	ADP
ejpam-4882	163	5	gev	gev	NOUN
ejpam-4882	163	6	and	and	CCONJ
ejpam-4882	163	7	aptgev	aptgev	NOUN
ejpam-4882	163	8	distributions	distribution	NOUN
ejpam-4882	163	9	,	,	PUNCT
ejpam-4882	163	10	we	we	PRON
ejpam-4882	163	11	utilize	utilize	VERB
ejpam-4882	163	12	the	the	DET
ejpam-4882	163	13	maximum	maximum	ADJ
ejpam-4882	163	14	likelihood	likelihood	NOUN
ejpam-4882	163	15	method	method	NOUN
ejpam-4882	163	16	accompanied	accompany	VERB
ejpam-4882	163	17	by	by	ADP
ejpam-4882	163	18	newton	newton	PROPN
ejpam-4882	163	19	–	–	PUNCT
ejpam-4882	163	20	raphson	raphson	NOUN
ejpam-4882	163	21	procedure	procedure	NOUN
ejpam-4882	163	22	.	.	PUNCT
ejpam-4882	164	1	next	next	ADV
ejpam-4882	164	2	,	,	PUNCT
ejpam-4882	164	3	we	we	PRON
ejpam-4882	164	4	illustrate	illustrate	VERB
ejpam-4882	164	5	the	the	DET
ejpam-4882	164	6	results	result	NOUN
ejpam-4882	164	7	of	of	ADP
ejpam-4882	164	8	parameter	parameter	NOUN
ejpam-4882	164	9	estimates	estimate	NOUN
ejpam-4882	164	10	in	in	ADP
ejpam-4882	164	11	the	the	DET
ejpam-4882	164	12	gev	gev	NOUN
ejpam-4882	164	13	and	and	CCONJ
ejpam-4882	164	14	aptgev	aptgev	NOUN
ejpam-4882	164	15	distributions	distribution	NOUN
ejpam-4882	164	16	in	in	ADP
ejpam-4882	164	17	table	table	NOUN
ejpam-4882	164	18	3	3	NUM
ejpam-4882	164	19	.	.	PUNCT
ejpam-4882	165	1	p.	p.	NOUN
ejpam-4882	165	2	khamrot	khamrot	PROPN
ejpam-4882	165	3	,	,	PUNCT
ejpam-4882	165	4	n.	n.	PROPN
ejpam-4882	165	5	deetae	deetae	PROPN
ejpam-4882	165	6	/	/	SYM
ejpam-4882	165	7	eur	eur	PROPN
ejpam-4882	165	8	.	.	PUNCT
ejpam-4882	166	1	j.	j.	PROPN
ejpam-4882	166	2	pure	pure	PROPN
ejpam-4882	166	3	appl	appl	PROPN
ejpam-4882	166	4	.	.	PROPN
ejpam-4882	166	5	math	math	PROPN
ejpam-4882	166	6	,	,	PUNCT
ejpam-4882	166	7	16	16	NUM
ejpam-4882	166	8	(	(	PUNCT
ejpam-4882	166	9	4	4	NUM
ejpam-4882	166	10	)	)	PUNCT
ejpam-4882	166	11	(	(	PUNCT
ejpam-4882	166	12	2023	2023	NUM
ejpam-4882	166	13	)	)	PUNCT
ejpam-4882	166	14	,	,	PUNCT
ejpam-4882	166	15	2461	2461	NUM
ejpam-4882	166	16	-	-	SYM
ejpam-4882	166	17	2475	2475	NUM
ejpam-4882	166	18	2470	2470	NUM
ejpam-4882	166	19	density	density	NOUN
ejpam-4882	166	20	plot	plot	NOUN
ejpam-4882	166	21	z	z	PROPN
ejpam-4882	166	22	f	f	X
ejpam-4882	166	23	(	(	PUNCT
ejpam-4882	166	24	z	z	NOUN
ejpam-4882	166	25	)	)	PUNCT
ejpam-4882	166	26	0.1	0.1	NUM
ejpam-4882	166	27	0.2	0.2	NUM
ejpam-4882	166	28	0.3	0.3	NUM
ejpam-4882	166	29	0.4	0.4	NUM
ejpam-4882	166	30	0.5	0.5	NUM
ejpam-4882	166	31	0	0	NUM
ejpam-4882	166	32	1	1	NUM
ejpam-4882	166	33	2	2	NUM
ejpam-4882	166	34	3	3	NUM
ejpam-4882	166	35	4	4	NUM
ejpam-4882	166	36	figure	figure	NOUN
ejpam-4882	166	37	2	2	NUM
ejpam-4882	166	38	:	:	PUNCT
ejpam-4882	166	39	plots	plot	NOUN
ejpam-4882	166	40	of	of	ADP
ejpam-4882	166	41	the	the	DET
ejpam-4882	166	42	aptgev	aptgev	NOUN
ejpam-4882	166	43	probability	probability	NOUN
ejpam-4882	166	44	density	density	NOUN
ejpam-4882	166	45	function	function	NOUN
ejpam-4882	166	46	as	as	SCONJ
ejpam-4882	166	47	simulated	simulate	VERB
ejpam-4882	166	48	with	with	ADP
ejpam-4882	166	49	sample	sample	NOUN
ejpam-4882	166	50	size	size	NOUN
ejpam-4882	166	51	500	500	NUM
ejpam-4882	166	52	table	table	NOUN
ejpam-4882	166	53	3	3	NUM
ejpam-4882	166	54	:	:	PUNCT
ejpam-4882	166	55	maximum	maximum	ADJ
ejpam-4882	166	56	likelihood	likelihood	NOUN
ejpam-4882	166	57	estimates	estimate	NOUN
ejpam-4882	166	58	,	,	PUNCT
ejpam-4882	166	59	standard	standard	ADJ
ejpam-4882	166	60	errors	error	NOUN
ejpam-4882	166	61	and	and	CCONJ
ejpam-4882	166	62	95	95	NUM
ejpam-4882	166	63	%	%	NOUN
ejpam-4882	166	64	ci	ci	NOUN
ejpam-4882	166	65	of	of	ADP
ejpam-4882	166	66	all	all	DET
ejpam-4882	166	67	parameters	parameter	NOUN
ejpam-4882	166	68	in	in	ADP
ejpam-4882	166	69	gev	gev	NOUN
ejpam-4882	166	70	and	and	CCONJ
ejpam-4882	166	71	aptgev	aptgev	VERB
ejpam-4882	166	72	distribution	distribution	NOUN
ejpam-4882	166	73	distribution	distribution	NOUN
ejpam-4882	166	74	parameter	parameter	NOUN
ejpam-4882	166	75	estimate	estimate	NOUN
ejpam-4882	166	76	standard	standard	ADJ
ejpam-4882	166	77	error	error	NOUN
ejpam-4882	166	78	95	95	NUM
ejpam-4882	166	79	%	%	NOUN
ejpam-4882	166	80	ci	ci	PROPN
ejpam-4882	166	81	gev	gev	PROPN
ejpam-4882	166	82	µ	µ	X
ejpam-4882	166	83	44.34251	44.34251	NUM
ejpam-4882	166	84	1.1199	1.1199	NUM
ejpam-4882	166	85	(	(	PUNCT
ejpam-4882	166	86	42.1476,46.5374	42.1476,46.5374	NOUN
ejpam-4882	166	87	)	)	PUNCT
ejpam-4882	167	1	σ	σ	NOUN
ejpam-4882	167	2	12.5069	12.5069	NUM
ejpam-4882	167	3	0.9905	0.9905	NUM
ejpam-4882	167	4	(	(	PUNCT
ejpam-4882	167	5	10.5654,14.4483	10.5654,14.4483	NOUN
ejpam-4882	167	6	)	)	PUNCT
ejpam-4882	167	7	ξ	ξ	PROPN
ejpam-4882	167	8	0.3744	0.3744	NUM
ejpam-4882	167	9	0.0831	0.0831	NUM
ejpam-4882	167	10	(	(	PUNCT
ejpam-4882	167	11	0.2114,0.5373	0.2114,0.5373	X
ejpam-4882	167	12	)	)	PUNCT
ejpam-4882	167	13	aptgev	aptgev	NOUN
ejpam-4882	167	14	µ	µ	X
ejpam-4882	167	15	40.5331	40.5331	NUM
ejpam-4882	167	16	4.2223	4.2223	NUM
ejpam-4882	167	17	(	(	PUNCT
ejpam-4882	167	18	32.2574,48.8089	32.2574,48.8089	NOUN
ejpam-4882	167	19	)	)	PUNCT
ejpam-4882	167	20	σ	σ	PROPN
ejpam-4882	167	21	9.79247	9.79247	NUM
ejpam-4882	167	22	2.9535	2.9535	NUM
ejpam-4882	167	23	(	(	PUNCT
ejpam-4882	167	24	4.0036,15.5813	4.0036,15.5813	NUM
ejpam-4882	167	25	)	)	PUNCT
ejpam-4882	167	26	ξ	ξ	SYM
ejpam-4882	167	27	0.3992	0.3992	NUM
ejpam-4882	167	28	0.0863	0.0863	NUM
ejpam-4882	167	29	(	(	PUNCT
ejpam-4882	167	30	0.2301,0.5683	0.2301,0.5683	NUM
ejpam-4882	167	31	)	)	PUNCT
ejpam-4882	167	32	α	α	PROPN
ejpam-4882	167	33	2.9367	2.9367	NUM
ejpam-4882	167	34	3.8754	3.8754	NUM
ejpam-4882	167	35	(	(	PUNCT
ejpam-4882	167	36	−4.6590,10.5324	−4.6590,10.5324	NOUN
ejpam-4882	167	37	)	)	PUNCT
ejpam-4882	167	38	in	in	ADP
ejpam-4882	167	39	table	table	NOUN
ejpam-4882	167	40	3	3	NUM
ejpam-4882	167	41	,	,	PUNCT
ejpam-4882	167	42	the	the	DET
ejpam-4882	167	43	parameters	parameter	NOUN
ejpam-4882	167	44	in	in	ADP
ejpam-4882	167	45	gev	gev	NOUN
ejpam-4882	167	46	distribution	distribution	NOUN
ejpam-4882	167	47	are	be	AUX
ejpam-4882	167	48	estimated	estimate	VERB
ejpam-4882	167	49	using	use	VERB
ejpam-4882	167	50	the	the	DET
ejpam-4882	167	51	maximum	maximum	ADJ
ejpam-4882	167	52	likelihood	likelihood	NOUN
ejpam-4882	167	53	method	method	NOUN
ejpam-4882	167	54	.	.	PUNCT
ejpam-4882	168	1	the	the	DET
ejpam-4882	168	2	estimated	estimate	VERB
ejpam-4882	168	3	values	value	NOUN
ejpam-4882	168	4	are	be	AUX
ejpam-4882	168	5	(	(	PUNCT
ejpam-4882	168	6	µ	µ	X
ejpam-4882	168	7	,	,	PUNCT
ejpam-4882	168	8	σ	σ	PROPN
ejpam-4882	168	9	,	,	PUNCT
ejpam-4882	168	10	ξ	ξ	PROPN
ejpam-4882	168	11	)	)	PUNCT
ejpam-4882	168	12	=	=	SYM
ejpam-4882	168	13	(	(	PUNCT
ejpam-4882	168	14	44.34251	44.34251	NUM
ejpam-4882	168	15	,	,	PUNCT
ejpam-4882	168	16	12.5069	12.5069	NUM
ejpam-4882	168	17	,	,	PUNCT
ejpam-4882	168	18	0.3744	0.3744	NUM
ejpam-4882	168	19	)	)	PUNCT
ejpam-4882	168	20	,	,	PUNCT
ejpam-4882	168	21	with	with	ADP
ejpam-4882	168	22	standard	standard	ADJ
ejpam-4882	168	23	errors	error	NOUN
ejpam-4882	168	24	(	(	PUNCT
ejpam-4882	168	25	1.1199	1.1199	NUM
ejpam-4882	168	26	,	,	PUNCT
ejpam-4882	168	27	0.9905	0.9905	NUM
ejpam-4882	168	28	,	,	PUNCT
ejpam-4882	168	29	0.0831	0.0831	NUM
ejpam-4882	168	30	)	)	PUNCT
ejpam-4882	168	31	.	.	PUNCT
ejpam-4882	169	1	the	the	DET
ejpam-4882	169	2	approximate	approximate	ADJ
ejpam-4882	169	3	95	95	NUM
ejpam-4882	169	4	%	%	NOUN
ejpam-4882	169	5	ci	ci	NOUN
ejpam-4882	169	6	for	for	ADP
ejpam-4882	169	7	the	the	DET
ejpam-4882	169	8	parameters	parameter	NOUN
ejpam-4882	169	9	are	be	AUX
ejpam-4882	169	10	(	(	PUNCT
ejpam-4882	169	11	42.1476,46.5374	42.1476,46.5374	NOUN
ejpam-4882	169	12	)	)	PUNCT
ejpam-4882	169	13	for	for	ADP
ejpam-4882	169	14	µ	µ	NUM
ejpam-4882	169	15	,	,	PUNCT
ejpam-4882	169	16	(	(	PUNCT
ejpam-4882	169	17	10.5654	10.5654	NUM
ejpam-4882	169	18	,	,	PUNCT
ejpam-4882	169	19	14.4483	14.4483	NUM
ejpam-4882	169	20	)	)	PUNCT
ejpam-4882	169	21	for	for	ADP
ejpam-4882	169	22	σ	σ	PROPN
ejpam-4882	169	23	,	,	PUNCT
ejpam-4882	169	24	and	and	CCONJ
ejpam-4882	169	25	(	(	PUNCT
ejpam-4882	169	26	0.2114,0.5373	0.2114,0.5373	NOUN
ejpam-4882	169	27	)	)	PUNCT
ejpam-4882	169	28	for	for	ADP
ejpam-4882	169	29	ξ	ξ	PROPN
ejpam-4882	169	30	.	.	PUNCT
ejpam-4882	170	1	since	since	SCONJ
ejpam-4882	170	2	the	the	DET
ejpam-4882	170	3	confidence	confidence	NOUN
ejpam-4882	170	4	interval	interval	NOUN
ejpam-4882	170	5	of	of	ADP
ejpam-4882	170	6	ξ	ξ	PROPN
ejpam-4882	170	7	>	>	SYM
ejpam-4882	170	8	0	0	PROPN
ejpam-4882	170	9	,	,	PUNCT
ejpam-4882	170	10	fréchet	fréchet	VERB
ejpam-4882	170	11	distribution	distribution	NOUN
ejpam-4882	170	12	is	be	AUX
ejpam-4882	170	13	the	the	DET
ejpam-4882	170	14	optimal	optimal	ADJ
ejpam-4882	170	15	distribution	distribution	NOUN
ejpam-4882	170	16	for	for	ADP
ejpam-4882	170	17	the	the	DET
ejpam-4882	170	18	gev	gev	NOUN
ejpam-4882	170	19	class	class	NOUN
ejpam-4882	170	20	.	.	PUNCT
ejpam-4882	171	1	similarly	similarly	ADV
ejpam-4882	171	2	,	,	PUNCT
ejpam-4882	171	3	the	the	DET
ejpam-4882	171	4	aptgev	aptgev	NOUN
ejpam-4882	171	5	parameters	parameter	NOUN
ejpam-4882	171	6	are	be	AUX
ejpam-4882	171	7	estimated	estimate	VERB
ejpam-4882	171	8	using	use	VERB
ejpam-4882	171	9	the	the	DET
ejpam-4882	171	10	maximum	maximum	ADJ
ejpam-4882	171	11	likelihood	likelihood	NOUN
ejpam-4882	171	12	method	method	NOUN
ejpam-4882	171	13	.	.	PUNCT
ejpam-4882	172	1	the	the	DET
ejpam-4882	172	2	estimated	estimate	VERB
ejpam-4882	172	3	results	result	NOUN
ejpam-4882	172	4	,	,	PUNCT
ejpam-4882	172	5	as	as	SCONJ
ejpam-4882	172	6	shown	show	VERB
ejpam-4882	172	7	in	in	ADP
ejpam-4882	172	8	table	table	NOUN
ejpam-4882	172	9	3	3	NUM
ejpam-4882	172	10	,	,	PUNCT
ejpam-4882	172	11	are	be	AUX
ejpam-4882	172	12	(	(	PUNCT
ejpam-4882	172	13	µ	µ	X
ejpam-4882	172	14	,	,	PUNCT
ejpam-4882	172	15	σ	σ	PROPN
ejpam-4882	172	16	,	,	PUNCT
ejpam-4882	172	17	ξ	ξ	PROPN
ejpam-4882	172	18	,	,	PUNCT
ejpam-4882	172	19	α	α	NOUN
ejpam-4882	172	20	)	)	PUNCT
ejpam-4882	172	21	=	=	SYM
ejpam-4882	172	22	(	(	PUNCT
ejpam-4882	172	23	40.5331	40.5331	NUM
ejpam-4882	172	24	,	,	PUNCT
ejpam-4882	172	25	9.79247	9.79247	NUM
ejpam-4882	172	26	,	,	PUNCT
ejpam-4882	172	27	0.3992	0.3992	NUM
ejpam-4882	172	28	,	,	PUNCT
ejpam-4882	172	29	2.9367	2.9367	NUM
ejpam-4882	172	30	)	)	PUNCT
ejpam-4882	172	31	,	,	PUNCT
ejpam-4882	172	32	with	with	ADP
ejpam-4882	172	33	standard	standard	ADJ
ejpam-4882	172	34	errors	error	NOUN
ejpam-4882	172	35	(	(	PUNCT
ejpam-4882	172	36	4.2223	4.2223	NUM
ejpam-4882	172	37	,	,	PUNCT
ejpam-4882	172	38	2.9535	2.9535	NUM
ejpam-4882	172	39	,	,	PUNCT
ejpam-4882	172	40	0.0863	0.0863	NUM
ejpam-4882	172	41	,	,	PUNCT
ejpam-4882	172	42	3.8754	3.8754	NUM
ejpam-4882	172	43	)	)	PUNCT
ejpam-4882	172	44	.	.	PUNCT
ejpam-4882	173	1	the	the	DET
ejpam-4882	173	2	approximate	approximate	ADJ
ejpam-4882	173	3	95	95	NUM
ejpam-4882	173	4	%	%	NOUN
ejpam-4882	173	5	ci	ci	NOUN
ejpam-4882	173	6	for	for	ADP
ejpam-4882	173	7	the	the	DET
ejpam-4882	173	8	parameters	parameter	NOUN
ejpam-4882	173	9	are	be	AUX
ejpam-4882	173	10	thus	thus	ADV
ejpam-4882	173	11	(	(	PUNCT
ejpam-4882	173	12	32.2574,48.8089	32.2574,48.8089	NOUN
ejpam-4882	173	13	)	)	PUNCT
ejpam-4882	173	14	for	for	ADP
ejpam-4882	173	15	µ	µ	NUM
ejpam-4882	173	16	,	,	PUNCT
ejpam-4882	173	17	(	(	PUNCT
ejpam-4882	173	18	4.0036,15.5813	4.0036,15.5813	NUM
ejpam-4882	173	19	)	)	PUNCT
ejpam-4882	173	20	for	for	ADP
ejpam-4882	173	21	σ	σ	PROPN
ejpam-4882	173	22	,	,	PUNCT
ejpam-4882	173	23	(	(	PUNCT
ejpam-4882	173	24	0.2301,0.5683	0.2301,0.5683	NUM
ejpam-4882	173	25	)	)	PUNCT
ejpam-4882	173	26	for	for	ADP
ejpam-4882	173	27	ξ	ξ	PROPN
ejpam-4882	173	28	,	,	PUNCT
ejpam-4882	173	29	and	and	CCONJ
ejpam-4882	173	30	(	(	PUNCT
ejpam-4882	173	31	−4.6590,10.5324	−4.6590,10.5324	NOUN
ejpam-4882	173	32	)	)	PUNCT
ejpam-4882	173	33	for	for	ADP
ejpam-4882	173	34	α	α	X
ejpam-4882	173	35	.	.	PUNCT
ejpam-4882	174	1	since	since	SCONJ
ejpam-4882	174	2	zero	zero	NUM
ejpam-4882	174	3	lies	lie	VERB
ejpam-4882	174	4	within	within	ADP
ejpam-4882	174	5	the	the	DET
ejpam-4882	174	6	confidence	confidence	NOUN
ejpam-4882	174	7	interval	interval	NOUN
ejpam-4882	174	8	of	of	ADP
ejpam-4882	174	9	ξ	ξ	PROPN
ejpam-4882	174	10	is	be	AUX
ejpam-4882	174	11	contains	contain	VERB
ejpam-4882	174	12	0	0	NUM
ejpam-4882	174	13	,	,	PUNCT
ejpam-4882	174	14	aptgd	aptgd	NOUN
ejpam-4882	174	15	is	be	AUX
ejpam-4882	174	16	the	the	DET
ejpam-4882	174	17	optimal	optimal	ADJ
ejpam-4882	174	18	distribution	distribution	NOUN
ejpam-4882	174	19	for	for	ADP
ejpam-4882	174	20	the	the	DET
ejpam-4882	174	21	aptgev	aptgev	NOUN
ejpam-4882	174	22	class	class	NOUN
ejpam-4882	174	23	.	.	PUNCT
ejpam-4882	175	1	table	table	NOUN
ejpam-4882	175	2	4	4	NUM
ejpam-4882	175	3	shows	show	VERB
ejpam-4882	175	4	the	the	DET
ejpam-4882	175	5	return	return	NOUN
ejpam-4882	175	6	level	level	NOUN
ejpam-4882	175	7	estimates	estimate	NOUN
ejpam-4882	175	8	at	at	ADP
ejpam-4882	175	9	different	different	ADJ
ejpam-4882	175	10	return	return	NOUN
ejpam-4882	175	11	periods	period	NOUN
ejpam-4882	175	12	(	(	PUNCT
ejpam-4882	175	13	t	t	NOUN
ejpam-4882	175	14	)	)	PUNCT
ejpam-4882	175	15	of	of	ADP
ejpam-4882	175	16	10	10	NUM
ejpam-4882	175	17	,	,	PUNCT
ejpam-4882	175	18	20	20	NUM
ejpam-4882	175	19	,	,	PUNCT
ejpam-4882	175	20	50	50	NUM
ejpam-4882	175	21	and	and	CCONJ
ejpam-4882	175	22	100	100	NUM
ejpam-4882	175	23	years	year	NOUN
ejpam-4882	175	24	,	,	PUNCT
ejpam-4882	175	25	based	base	VERB
ejpam-4882	175	26	on	on	ADP
ejpam-4882	175	27	two	two	NUM
ejpam-4882	175	28	different	different	ADJ
ejpam-4882	175	29	distributions	distribution	NOUN
ejpam-4882	175	30	:	:	PUNCT
ejpam-4882	175	31	gev	gev	NOUN
ejpam-4882	175	32	and	and	CCONJ
ejpam-4882	175	33	aptgev	aptgev	VERB
ejpam-4882	175	34	.	.	PUNCT
ejpam-4882	176	1	for	for	ADP
ejpam-4882	176	2	the	the	DET
ejpam-4882	176	3	gev	gev	NOUN
ejpam-4882	176	4	distribution	distribution	NOUN
ejpam-4882	176	5	,	,	PUNCT
ejpam-4882	176	6	the	the	DET
ejpam-4882	176	7	estimated	estimate	VERB
ejpam-4882	176	8	return	return	NOUN
ejpam-4882	176	9	levels	level	NOUN
ejpam-4882	176	10	are	be	AUX
ejpam-4882	176	11	higher	high	ADJ
ejpam-4882	176	12	as	as	ADP
ejpam-4882	176	13	the	the	DET
ejpam-4882	176	14	return	return	NOUN
ejpam-4882	176	15	period	period	NOUN
ejpam-4882	176	16	p.	p.	NOUN
ejpam-4882	176	17	khamrot	khamrot	PROPN
ejpam-4882	176	18	,	,	PUNCT
ejpam-4882	176	19	n.	n.	PROPN
ejpam-4882	176	20	deetae	deetae	PROPN
ejpam-4882	176	21	/	/	SYM
ejpam-4882	176	22	eur	eur	PROPN
ejpam-4882	176	23	.	.	PUNCT
ejpam-4882	177	1	j.	j.	PROPN
ejpam-4882	177	2	pure	pure	PROPN
ejpam-4882	177	3	appl	appl	PROPN
ejpam-4882	177	4	.	.	PROPN
ejpam-4882	177	5	math	math	PROPN
ejpam-4882	177	6	,	,	PUNCT
ejpam-4882	177	7	16	16	NUM
ejpam-4882	177	8	(	(	PUNCT
ejpam-4882	177	9	4	4	NUM
ejpam-4882	177	10	)	)	PUNCT
ejpam-4882	177	11	(	(	PUNCT
ejpam-4882	177	12	2023	2023	NUM
ejpam-4882	177	13	)	)	PUNCT
ejpam-4882	177	14	,	,	PUNCT
ejpam-4882	177	15	2461	2461	NUM
ejpam-4882	177	16	-	-	SYM
ejpam-4882	177	17	2475	2475	NUM
ejpam-4882	177	18	2471	2471	NUM
ejpam-4882	177	19	table	table	NOUN
ejpam-4882	177	20	4	4	NUM
ejpam-4882	177	21	:	:	PUNCT
ejpam-4882	177	22	return	return	NOUN
ejpam-4882	177	23	level	level	NOUN
ejpam-4882	177	24	estimates	estimate	NOUN
ejpam-4882	177	25	(	(	PUNCT
ejpam-4882	177	26	mm	mm	INTJ
ejpam-4882	177	27	)	)	PUNCT
ejpam-4882	177	28	at	at	ADP
ejpam-4882	177	29	selected	select	VERB
ejpam-4882	177	30	return	return	NOUN
ejpam-4882	177	31	periods	period	NOUN
ejpam-4882	177	32	(	(	PUNCT
ejpam-4882	177	33	t	t	NOUN
ejpam-4882	177	34	)	)	PUNCT
ejpam-4882	177	35	for	for	ADP
ejpam-4882	177	36	the	the	DET
ejpam-4882	177	37	gev	gev	NOUN
ejpam-4882	177	38	and	and	CCONJ
ejpam-4882	177	39	aptgev	aptgev	NOUN
ejpam-4882	177	40	distributions	distribution	NOUN
ejpam-4882	177	41	distribution	distribution	NOUN
ejpam-4882	177	42	t	t	NOUN
ejpam-4882	177	43	return	return	NOUN
ejpam-4882	177	44	level	level	NOUN
ejpam-4882	177	45	95	95	NUM
ejpam-4882	177	46	%	%	NOUN
ejpam-4882	177	47	ci	ci	PROPN
ejpam-4882	177	48	gev	gev	PROPN
ejpam-4882	177	49	10	10	NUM
ejpam-4882	177	50	88.4916	88.4916	NUM
ejpam-4882	177	51	(	(	PUNCT
ejpam-4882	177	52	77.0835	77.0835	NUM
ejpam-4882	177	53	,	,	PUNCT
ejpam-4882	177	54	99.8997	99.8997	NUM
ejpam-4882	177	55	)	)	PUNCT
ejpam-4882	177	56	20	20	NUM
ejpam-4882	177	57	112.4703	112.4703	NUM
ejpam-4882	177	58	(	(	PUNCT
ejpam-4882	177	59	91.1340	91.1340	NUM
ejpam-4882	177	60	,	,	PUNCT
ejpam-4882	177	61	133.8066	133.8066	NUM
ejpam-4882	177	62	)	)	PUNCT
ejpam-4882	177	63	50	50	NUM
ejpam-4882	177	64	154.8332	154.8332	NUM
ejpam-4882	177	65	(	(	PUNCT
ejpam-4882	177	66	109.9808	109.9808	NUM
ejpam-4882	177	67	,	,	PUNCT
ejpam-4882	177	68	199.6857	199.6857	NUM
ejpam-4882	177	69	)	)	PUNCT
ejpam-4882	177	70	100	100	NUM
ejpam-4882	177	71	197.8030	197.8030	NUM
ejpam-4882	177	72	(	(	PUNCT
ejpam-4882	177	73	123.4002	123.4002	NUM
ejpam-4882	177	74	,	,	PUNCT
ejpam-4882	177	75	272.2057	272.2057	NUM
ejpam-4882	177	76	)	)	PUNCT
ejpam-4882	177	77	aptgev	aptgev	NOUN
ejpam-4882	177	78	10	10	NUM
ejpam-4882	177	79	88.8589	88.8589	NUM
ejpam-4882	177	80	(	(	PUNCT
ejpam-4882	177	81	77.1743	77.1743	NUM
ejpam-4882	177	82	,	,	PUNCT
ejpam-4882	177	83	100.5435	100.5435	NUM
ejpam-4882	177	84	)	)	PUNCT
ejpam-4882	177	85	20	20	NUM
ejpam-4882	177	86	113.3955	113.3955	NUM
ejpam-4882	177	87	(	(	PUNCT
ejpam-4882	177	88	91.4084	91.4084	NUM
ejpam-4882	177	89	,	,	PUNCT
ejpam-4882	177	90	135.3826	135.3826	NUM
ejpam-4882	177	91	)	)	PUNCT
ejpam-4882	177	92	50	50	NUM
ejpam-4882	177	93	157.5150	157.5150	NUM
ejpam-4882	177	94	(	(	PUNCT
ejpam-4882	177	95	110.6834	110.6834	NUM
ejpam-4882	177	96	,	,	PUNCT
ejpam-4882	177	97	204.3466	204.3466	NUM
ejpam-4882	177	98	)	)	PUNCT
ejpam-4882	177	99	100	100	NUM
ejpam-4882	177	100	203.1066	203.1066	NUM
ejpam-4882	177	101	(	(	PUNCT
ejpam-4882	177	102	124.4146	124.4146	NUM
ejpam-4882	177	103	,	,	PUNCT
ejpam-4882	177	104	281.7987	281.7987	NUM
ejpam-4882	177	105	)	)	PUNCT
ejpam-4882	177	106	increases	increase	NOUN
ejpam-4882	177	107	.	.	PUNCT
ejpam-4882	178	1	for	for	ADP
ejpam-4882	178	2	example	example	NOUN
ejpam-4882	178	3	,	,	PUNCT
ejpam-4882	178	4	the	the	DET
ejpam-4882	178	5	estimated	estimate	VERB
ejpam-4882	178	6	return	return	NOUN
ejpam-4882	178	7	level	level	NOUN
ejpam-4882	178	8	for	for	ADP
ejpam-4882	178	9	a	a	DET
ejpam-4882	178	10	return	return	NOUN
ejpam-4882	178	11	period	period	NOUN
ejpam-4882	178	12	of	of	ADP
ejpam-4882	178	13	10	10	NUM
ejpam-4882	178	14	years	year	NOUN
ejpam-4882	178	15	is	be	AUX
ejpam-4882	178	16	88.4916	88.4916	NUM
ejpam-4882	178	17	mm	mm	NOUN
ejpam-4882	178	18	,	,	PUNCT
ejpam-4882	178	19	while	while	SCONJ
ejpam-4882	178	20	it	it	PRON
ejpam-4882	178	21	is	be	AUX
ejpam-4882	178	22	197.8030	197.8030	NUM
ejpam-4882	178	23	mm	mm	NOUN
ejpam-4882	178	24	for	for	ADP
ejpam-4882	178	25	a	a	DET
ejpam-4882	178	26	return	return	NOUN
ejpam-4882	178	27	period	period	NOUN
ejpam-4882	178	28	of	of	ADP
ejpam-4882	178	29	100	100	NUM
ejpam-4882	178	30	years	year	NOUN
ejpam-4882	178	31	.	.	PUNCT
ejpam-4882	179	1	as	as	ADP
ejpam-4882	179	2	a	a	DET
ejpam-4882	179	3	result	result	NOUN
ejpam-4882	179	4	,	,	PUNCT
ejpam-4882	179	5	the	the	DET
ejpam-4882	179	6	lower	low	ADJ
ejpam-4882	179	7	and	and	CCONJ
ejpam-4882	179	8	upper	upper	ADJ
ejpam-4882	179	9	limits	limit	NOUN
ejpam-4882	179	10	for	for	ADP
ejpam-4882	179	11	confidence	confidence	NOUN
ejpam-4882	179	12	intervals	interval	NOUN
ejpam-4882	179	13	also	also	ADV
ejpam-4882	179	14	increase	increase	VERB
ejpam-4882	179	15	as	as	SCONJ
ejpam-4882	179	16	the	the	DET
ejpam-4882	179	17	return	return	NOUN
ejpam-4882	179	18	period	period	NOUN
ejpam-4882	179	19	rises	rise	VERB
ejpam-4882	179	20	.	.	PUNCT
ejpam-4882	180	1	similarly	similarly	ADV
ejpam-4882	180	2	,	,	PUNCT
ejpam-4882	180	3	the	the	DET
ejpam-4882	180	4	aptgev	aptgev	NOUN
ejpam-4882	180	5	distribution	distribution	NOUN
ejpam-4882	180	6	shows	show	VERB
ejpam-4882	180	7	an	an	DET
ejpam-4882	180	8	increasing	increase	VERB
ejpam-4882	180	9	trend	trend	NOUN
ejpam-4882	180	10	in	in	ADP
ejpam-4882	180	11	the	the	DET
ejpam-4882	180	12	estimated	estimate	VERB
ejpam-4882	180	13	return	return	NOUN
ejpam-4882	180	14	levels	level	NOUN
ejpam-4882	180	15	with	with	ADP
ejpam-4882	180	16	increasing	increase	VERB
ejpam-4882	180	17	return	return	NOUN
ejpam-4882	180	18	periods	period	NOUN
ejpam-4882	180	19	.	.	PUNCT
ejpam-4882	181	1	for	for	ADP
ejpam-4882	181	2	example	example	NOUN
ejpam-4882	181	3	,	,	PUNCT
ejpam-4882	181	4	the	the	DET
ejpam-4882	181	5	estimated	estimate	VERB
ejpam-4882	181	6	return	return	NOUN
ejpam-4882	181	7	levels	level	NOUN
ejpam-4882	181	8	for	for	ADP
ejpam-4882	181	9	return	return	NOUN
ejpam-4882	181	10	period	period	NOUN
ejpam-4882	181	11	of	of	ADP
ejpam-4882	181	12	10	10	NUM
ejpam-4882	181	13	years	year	NOUN
ejpam-4882	181	14	and	and	CCONJ
ejpam-4882	181	15	100	100	NUM
ejpam-4882	181	16	years	year	NOUN
ejpam-4882	181	17	are	be	AUX
ejpam-4882	181	18	88.8589	88.8589	NUM
ejpam-4882	181	19	mm	mm	NOUN
ejpam-4882	181	20	,	,	PUNCT
ejpam-4882	181	21	and	and	CCONJ
ejpam-4882	181	22	203.1066	203.1066	NUM
ejpam-4882	181	23	mm	mm	NOUN
ejpam-4882	181	24	,	,	PUNCT
ejpam-4882	181	25	respectively	respectively	ADV
ejpam-4882	181	26	.	.	PUNCT
ejpam-4882	182	1	as	as	ADP
ejpam-4882	182	2	a	a	DET
ejpam-4882	182	3	consequence	consequence	NOUN
ejpam-4882	182	4	,	,	PUNCT
ejpam-4882	182	5	the	the	DET
ejpam-4882	182	6	lower	low	ADJ
ejpam-4882	182	7	and	and	CCONJ
ejpam-4882	182	8	upper	upper	ADJ
ejpam-4882	182	9	limits	limit	NOUN
ejpam-4882	182	10	for	for	ADP
ejpam-4882	182	11	cis	cis	NOUN
ejpam-4882	182	12	also	also	ADV
ejpam-4882	182	13	increase	increase	VERB
ejpam-4882	182	14	with	with	ADP
ejpam-4882	182	15	the	the	DET
ejpam-4882	182	16	return	return	NOUN
ejpam-4882	182	17	period	period	NOUN
ejpam-4882	182	18	.	.	PUNCT
ejpam-4882	183	1	4.1	4.1	NUM
ejpam-4882	183	2	.	.	X
ejpam-4882	184	1	goodness	goodness	NOUN
ejpam-4882	184	2	-	-	PUNCT
ejpam-4882	184	3	of	of	ADP
ejpam-4882	184	4	-	-	PUNCT
ejpam-4882	184	5	fit	fit	ADJ
ejpam-4882	184	6	tests	test	NOUN
ejpam-4882	184	7	we	we	PRON
ejpam-4882	184	8	will	will	AUX
ejpam-4882	184	9	apply	apply	VERB
ejpam-4882	184	10	structured	structured	ADJ
ejpam-4882	184	11	goodness	goodness	NOUN
ejpam-4882	184	12	-	-	PUNCT
ejpam-4882	184	13	of	of	ADP
ejpam-4882	184	14	-	-	PUNCT
ejpam-4882	184	15	fit	fit	NOUN
ejpam-4882	184	16	examinations	examination	NOUN
ejpam-4882	184	17	to	to	PART
ejpam-4882	184	18	ascertain	ascertain	VERB
ejpam-4882	184	19	the	the	DET
ejpam-4882	184	20	distribution	distribution	NOUN
ejpam-4882	184	21	that	that	PRON
ejpam-4882	184	22	best	good	ADJ
ejpam-4882	184	23	aligns	align	VERB
ejpam-4882	184	24	with	with	ADP
ejpam-4882	184	25	the	the	DET
ejpam-4882	184	26	data	datum	NOUN
ejpam-4882	184	27	.	.	PUNCT
ejpam-4882	185	1	the	the	DET
ejpam-4882	185	2	statistical	statistical	ADJ
ejpam-4882	185	3	tools	tool	NOUN
ejpam-4882	185	4	we	we	PRON
ejpam-4882	185	5	’ll	’ll	AUX
ejpam-4882	185	6	utilize	utilize	VERB
ejpam-4882	185	7	include	include	VERB
ejpam-4882	185	8	the	the	DET
ejpam-4882	185	9	cramér	cramér	PROPN
ejpam-4882	185	10	-	-	PUNCT
ejpam-4882	185	11	von	von	PROPN
ejpam-4882	185	12	mises	mises	PROPN
ejpam-4882	185	13	(	(	PUNCT
ejpam-4882	185	14	w	w	NOUN
ejpam-4882	185	15	∗	∗	NOUN
ejpam-4882	185	16	)	)	PUNCT
ejpam-4882	185	17	and	and	CCONJ
ejpam-4882	185	18	anderson	anderson	PROPN
ejpam-4882	185	19	-	-	PUNCT
ejpam-4882	185	20	darling	darling	PROPN
ejpam-4882	185	21	(	(	PUNCT
ejpam-4882	185	22	a∗	a∗	ADJ
ejpam-4882	185	23	)	)	PUNCT
ejpam-4882	185	24	methods	method	NOUN
ejpam-4882	185	25	delineated	delineate	VERB
ejpam-4882	185	26	by	by	ADP
ejpam-4882	185	27	chen	chen	PROPN
ejpam-4882	185	28	and	and	CCONJ
ejpam-4882	185	29	balakrishnan	balakrishnan	PROPN
ejpam-4882	186	1	[	[	X
ejpam-4882	186	2	3	3	NUM
ejpam-4882	186	3	]	]	PUNCT
ejpam-4882	186	4	.	.	PUNCT
ejpam-4882	187	1	in	in	ADP
ejpam-4882	187	2	general	general	ADJ
ejpam-4882	187	3	,	,	PUNCT
ejpam-4882	187	4	smaller	small	ADJ
ejpam-4882	187	5	values	value	NOUN
ejpam-4882	187	6	of	of	ADP
ejpam-4882	187	7	these	these	DET
ejpam-4882	187	8	statistics	statistic	NOUN
ejpam-4882	187	9	indicate	indicate	VERB
ejpam-4882	187	10	a	a	DET
ejpam-4882	187	11	better	well	ADJ
ejpam-4882	187	12	fit	fit	NOUN
ejpam-4882	187	13	of	of	ADP
ejpam-4882	187	14	the	the	DET
ejpam-4882	187	15	distribution	distribution	NOUN
ejpam-4882	187	16	to	to	ADP
ejpam-4882	187	17	the	the	DET
ejpam-4882	187	18	data	datum	NOUN
ejpam-4882	187	19	.	.	PUNCT
ejpam-4882	188	1	let	let	VERB
ejpam-4882	188	2	f	f	PROPN
ejpam-4882	188	3	(	(	PUNCT
ejpam-4882	188	4	x	x	NOUN
ejpam-4882	188	5	;	;	PUNCT
ejpam-4882	188	6	θ	θ	X
ejpam-4882	188	7	)	)	PUNCT
ejpam-4882	188	8	be	be	AUX
ejpam-4882	188	9	a	a	DET
ejpam-4882	188	10	cdf	cdf	NOUN
ejpam-4882	188	11	,	,	PUNCT
ejpam-4882	188	12	where	where	SCONJ
ejpam-4882	188	13	the	the	DET
ejpam-4882	188	14	form	form	NOUN
ejpam-4882	188	15	of	of	ADP
ejpam-4882	188	16	f	f	PROPN
ejpam-4882	188	17	is	be	AUX
ejpam-4882	188	18	known	know	VERB
ejpam-4882	188	19	,	,	PUNCT
ejpam-4882	188	20	but	but	CCONJ
ejpam-4882	188	21	θ	θ	PROPN
ejpam-4882	188	22	is	be	AUX
ejpam-4882	188	23	unknown	unknown	ADJ
ejpam-4882	188	24	.	.	PUNCT
ejpam-4882	189	1	to	to	PART
ejpam-4882	189	2	obtain	obtain	VERB
ejpam-4882	189	3	the	the	DET
ejpam-4882	189	4	statistics	statistic	NOUN
ejpam-4882	189	5	w	w	ADP
ejpam-4882	189	6	∗	∗	NOUN
ejpam-4882	189	7	and	and	CCONJ
ejpam-4882	189	8	a∗	a∗	NOUN
ejpam-4882	189	9	as	as	SCONJ
ejpam-4882	189	10	follows	follow	VERB
ejpam-4882	189	11	:	:	PUNCT
ejpam-4882	189	12	w	w	NOUN
ejpam-4882	189	13	2	2	NUM
ejpam-4882	189	14	=	=	SYM
ejpam-4882	189	15	n∑	n∑	NOUN
ejpam-4882	189	16	i=1	i=1	PROPN
ejpam-4882	189	17	{	{	PUNCT
ejpam-4882	189	18	ui	ui	INTJ
ejpam-4882	189	19	−	−	PROPN
ejpam-4882	190	1	2i−	2i−	NUM
ejpam-4882	190	2	1	1	NUM
ejpam-4882	190	3	2n	2n	NUM
ejpam-4882	190	4	}	}	PUNCT
ejpam-4882	190	5	2	2	NUM
ejpam-4882	190	6	+	+	SYM
ejpam-4882	190	7	1	1	NUM
ejpam-4882	190	8	12n	12n	NOUN
ejpam-4882	190	9	and	and	CCONJ
ejpam-4882	190	10	a2	a2	PROPN
ejpam-4882	190	11	=	=	PROPN
ejpam-4882	190	12	−	−	PROPN
ejpam-4882	190	13	n−	n−	NOUN
ejpam-4882	190	14	1	1	NUM
ejpam-4882	190	15	n	n	NOUN
ejpam-4882	190	16	n∑	n∑	NOUN
ejpam-4882	190	17	i=1	i=1	PROPN
ejpam-4882	190	18	{	{	PUNCT
ejpam-4882	190	19	(	(	PUNCT
ejpam-4882	190	20	2i−	2i−	NUM
ejpam-4882	190	21	1	1	NUM
ejpam-4882	190	22	)	)	PUNCT
ejpam-4882	190	23	log(ui	log(ui	NUM
ejpam-4882	190	24	)	)	PUNCT
ejpam-4882	191	1	+	+	CCONJ
ejpam-4882	191	2	(	(	PUNCT
ejpam-4882	191	3	2n+	2n+	NUM
ejpam-4882	191	4	1−	1−	NUM
ejpam-4882	191	5	2i	2i	NUM
ejpam-4882	191	6	)	)	PUNCT
ejpam-4882	191	7	log(1−	log(1−	PROPN
ejpam-4882	191	8	ui	ui	PROPN
ejpam-4882	191	9	)	)	PUNCT
ejpam-4882	191	10	}	}	PUNCT
ejpam-4882	191	11	,	,	PUNCT
ejpam-4882	191	12	modify	modify	VERB
ejpam-4882	191	13	w	w	ADP
ejpam-4882	191	14	2	2	NUM
ejpam-4882	191	15	into	into	ADP
ejpam-4882	191	16	w	w	NOUN
ejpam-4882	191	17	∗	∗	NOUN
ejpam-4882	191	18	=	=	PUNCT
ejpam-4882	191	19	w	w	PROPN
ejpam-4882	191	20	2(1	2(1	NUM
ejpam-4882	191	21	+	+	CCONJ
ejpam-4882	191	22	0.5	0.5	NUM
ejpam-4882	191	23	/	/	SYM
ejpam-4882	191	24	n	n	CCONJ
ejpam-4882	191	25	)	)	PUNCT
ejpam-4882	191	26	and	and	CCONJ
ejpam-4882	191	27	a2	a2	PROPN
ejpam-4882	191	28	into	into	ADP
ejpam-4882	191	29	a∗	a∗	PROPN
ejpam-4882	191	30	=	=	SYM
ejpam-4882	191	31	a2(1	a2(1	PROPN
ejpam-4882	191	32	+	+	NOUN
ejpam-4882	191	33	0.75	0.75	NUM
ejpam-4882	191	34	/	/	SYM
ejpam-4882	191	35	n+	n+	NUM
ejpam-4882	191	36	2.25	2.25	NUM
ejpam-4882	191	37	/	/	SYM
ejpam-4882	191	38	n2	n2	NOUN
ejpam-4882	191	39	)	)	PUNCT
ejpam-4882	191	40	,	,	PUNCT
ejpam-4882	191	41	where	where	SCONJ
ejpam-4882	191	42	ui	ui	NOUN
ejpam-4882	191	43	=	=	PUNCT
ejpam-4882	191	44	φ{(yi	φ{(yi	PROPN
ejpam-4882	191	45	−	−	PROPN
ejpam-4882	191	46	ȳ)/sy	ȳ)/sy	NOUN
ejpam-4882	191	47	}	}	PUNCT
ejpam-4882	191	48	,	,	PUNCT
ejpam-4882	191	49	ȳ	ȳ	PROPN
ejpam-4882	191	50	=	=	SYM
ejpam-4882	191	51	(	(	PUNCT
ejpam-4882	191	52	1	1	NUM
ejpam-4882	191	53	/	/	SYM
ejpam-4882	191	54	n	n	CCONJ
ejpam-4882	191	55	)	)	PUNCT
ejpam-4882	191	56	∑n	∑n	PROPN
ejpam-4882	191	57	i=1	i=1	PROPN
ejpam-4882	191	58	yi	yi	PROPN
ejpam-4882	191	59	,	,	PUNCT
ejpam-4882	191	60	s	s	PART
ejpam-4882	191	61	2	2	NUM
ejpam-4882	191	62	y	y	NOUN
ejpam-4882	191	63	=	=	SYM
ejpam-4882	191	64	(	(	PUNCT
ejpam-4882	191	65	n	n	CCONJ
ejpam-4882	191	66	−	−	PROPN
ejpam-4882	191	67	1)−1	1)−1	NUM
ejpam-4882	192	1	∑n	∑n	PROPN
ejpam-4882	192	2	i=1(yi	i=1(yi	NOUN
ejpam-4882	192	3	−	−	PROPN
ejpam-4882	192	4	ȳ)2	ȳ)2	PROPN
ejpam-4882	192	5	,	,	PUNCT
ejpam-4882	192	6	yi	yi	PROPN
ejpam-4882	192	7	=	=	SYM
ejpam-4882	192	8	φ−1(vi	φ−1(vi	PROPN
ejpam-4882	192	9	)	)	PUNCT
ejpam-4882	192	10	,	,	PUNCT
ejpam-4882	192	11	vi	vi	NOUN
ejpam-4882	193	1	=	=	SYM
ejpam-4882	193	2	f	f	PROPN
ejpam-4882	193	3	(	(	PUNCT
ejpam-4882	193	4	xi	xi	PROPN
ejpam-4882	193	5	;	;	PUNCT
ejpam-4882	193	6	θ̂	θ̂	NUM
ejpam-4882	193	7	)	)	PUNCT
ejpam-4882	193	8	,	,	PUNCT
ejpam-4882	193	9	the	the	DET
ejpam-4882	193	10	xi	xi	PROPN
ejpam-4882	193	11	’s	’s	PART
ejpam-4882	193	12	are	be	AUX
ejpam-4882	193	13	in	in	ADP
ejpam-4882	193	14	ascending	ascend	VERB
ejpam-4882	193	15	order	order	NOUN
ejpam-4882	193	16	,	,	PUNCT
ejpam-4882	193	17	φ	φ	PROPN
ejpam-4882	193	18	(	(	PUNCT
ejpam-4882	193	19	·	·	PUNCT
ejpam-4882	193	20	)	)	PUNCT
ejpam-4882	193	21	is	be	AUX
ejpam-4882	193	22	the	the	DET
ejpam-4882	193	23	standard	standard	ADJ
ejpam-4882	193	24	normal	normal	ADJ
ejpam-4882	193	25	cdf	cdf	PROPN
ejpam-4882	193	26	and	and	CCONJ
ejpam-4882	193	27	φ−1	φ−1	PROPN
ejpam-4882	193	28	(	(	PUNCT
ejpam-4882	193	29	·	·	PUNCT
ejpam-4882	193	30	)	)	PUNCT
ejpam-4882	193	31	denotes	denote	VERB
ejpam-4882	193	32	its	its	PRON
ejpam-4882	193	33	inverse	inverse	NOUN
ejpam-4882	193	34	.	.	PUNCT
ejpam-4882	194	1	the	the	DET
ejpam-4882	194	2	values	value	NOUN
ejpam-4882	194	3	of	of	ADP
ejpam-4882	194	4	w	w	NOUN
ejpam-4882	194	5	∗	∗	NOUN
ejpam-4882	194	6	and	and	CCONJ
ejpam-4882	194	7	a∗	a∗	NOUN
ejpam-4882	194	8	for	for	ADP
ejpam-4882	194	9	gev	gev	NOUN
ejpam-4882	194	10	and	and	CCONJ
ejpam-4882	194	11	aptgev	aptgev	VERB
ejpam-4882	194	12	distribution	distribution	NOUN
ejpam-4882	194	13	are	be	AUX
ejpam-4882	194	14	given	give	VERB
ejpam-4882	194	15	in	in	ADP
ejpam-4882	194	16	table	table	NOUN
ejpam-4882	194	17	5	5	NUM
ejpam-4882	194	18	for	for	ADP
ejpam-4882	194	19	goodness	goodness	NOUN
ejpam-4882	194	20	-	-	PUNCT
ejpam-4882	194	21	of	of	ADP
ejpam-4882	194	22	-	-	PUNCT
ejpam-4882	194	23	fit	fit	ADJ
ejpam-4882	194	24	tests	test	NOUN
ejpam-4882	194	25	on	on	ADP
ejpam-4882	194	26	rainfall	rainfall	NOUN
ejpam-4882	194	27	data	datum	NOUN
ejpam-4882	194	28	.	.	PUNCT
ejpam-4882	195	1	based	base	VERB
ejpam-4882	195	2	on	on	ADP
ejpam-4882	195	3	the	the	DET
ejpam-4882	195	4	values	value	NOUN
ejpam-4882	195	5	of	of	ADP
ejpam-4882	195	6	w	w	NOUN
ejpam-4882	195	7	∗	∗	NOUN
ejpam-4882	195	8	and	and	CCONJ
ejpam-4882	195	9	a∗	a∗	NOUN
ejpam-4882	195	10	,	,	PUNCT
ejpam-4882	195	11	the	the	DET
ejpam-4882	195	12	proposed	proposed	ADJ
ejpam-4882	195	13	p.	p.	NOUN
ejpam-4882	195	14	khamrot	khamrot	PROPN
ejpam-4882	195	15	,	,	PUNCT
ejpam-4882	195	16	n.	n.	PROPN
ejpam-4882	195	17	deetae	deetae	PROPN
ejpam-4882	195	18	/	/	SYM
ejpam-4882	195	19	eur	eur	PROPN
ejpam-4882	195	20	.	.	PUNCT
ejpam-4882	196	1	j.	j.	PROPN
ejpam-4882	196	2	pure	pure	PROPN
ejpam-4882	196	3	appl	appl	PROPN
ejpam-4882	196	4	.	.	PROPN
ejpam-4882	196	5	math	math	PROPN
ejpam-4882	196	6	,	,	PUNCT
ejpam-4882	196	7	16	16	NUM
ejpam-4882	196	8	(	(	PUNCT
ejpam-4882	196	9	4	4	NUM
ejpam-4882	196	10	)	)	PUNCT
ejpam-4882	196	11	(	(	PUNCT
ejpam-4882	196	12	2023	2023	NUM
ejpam-4882	196	13	)	)	PUNCT
ejpam-4882	196	14	,	,	PUNCT
ejpam-4882	196	15	2461	2461	NUM
ejpam-4882	196	16	-	-	SYM
ejpam-4882	196	17	2475	2475	NUM
ejpam-4882	196	18	2472	2472	NUM
ejpam-4882	196	19	table	table	NOUN
ejpam-4882	196	20	5	5	NUM
ejpam-4882	196	21	:	:	PUNCT
ejpam-4882	196	22	goodness	goodness	NOUN
ejpam-4882	196	23	-	-	PUNCT
ejpam-4882	196	24	of	of	ADP
ejpam-4882	196	25	-	-	PUNCT
ejpam-4882	196	26	fit	fit	ADJ
ejpam-4882	196	27	tests	test	NOUN
ejpam-4882	196	28	for	for	ADP
ejpam-4882	196	29	the	the	DET
ejpam-4882	196	30	gev	gev	NOUN
ejpam-4882	196	31	and	and	CCONJ
ejpam-4882	196	32	aptgev	aptgev	NOUN
ejpam-4882	196	33	distributions	distribution	NOUN
ejpam-4882	196	34	distribution	distribution	NOUN
ejpam-4882	196	35	w	w	ADP
ejpam-4882	196	36	∗	∗	NOUN
ejpam-4882	196	37	p	p	NOUN
ejpam-4882	196	38	-	-	PUNCT
ejpam-4882	196	39	value	value	NOUN
ejpam-4882	196	40	a∗	a∗	NOUN
ejpam-4882	196	41	p	p	NOUN
ejpam-4882	196	42	-	-	PUNCT
ejpam-4882	196	43	value	value	NOUN
ejpam-4882	196	44	gev	gev	NOUN
ejpam-4882	196	45	0.0454	0.0454	NUM
ejpam-4882	196	46	0.9040	0.9040	NUM
ejpam-4882	196	47	0.3436	0.3436	NUM
ejpam-4882	196	48	0.9020	0.9020	NUM
ejpam-4882	196	49	aptgev	aptgev	NOUN
ejpam-4882	196	50	0.0414	0.0414	NUM
ejpam-4882	196	51	0.9262	0.9262	NUM
ejpam-4882	196	52	0.3247	0.3247	NUM
ejpam-4882	196	53	0.9184	0.9184	NUM
ejpam-4882	196	54	aptgev	aptgev	NOUN
ejpam-4882	196	55	distribution	distribution	NOUN
ejpam-4882	196	56	fits	fit	VERB
ejpam-4882	196	57	the	the	DET
ejpam-4882	196	58	data	datum	NOUN
ejpam-4882	196	59	better	well	ADV
ejpam-4882	196	60	than	than	ADP
ejpam-4882	196	61	gev	gev	NOUN
ejpam-4882	196	62	distribution	distribution	NOUN
ejpam-4882	196	63	.	.	PUNCT
ejpam-4882	197	1	therefore	therefore	ADV
ejpam-4882	197	2	,	,	PUNCT
ejpam-4882	197	3	it	it	PRON
ejpam-4882	197	4	could	could	AUX
ejpam-4882	197	5	be	be	AUX
ejpam-4882	197	6	considered	consider	VERB
ejpam-4882	197	7	as	as	ADP
ejpam-4882	197	8	an	an	DET
ejpam-4882	197	9	alternative	alternative	NOUN
ejpam-4882	197	10	to	to	ADP
ejpam-4882	197	11	other	other	ADJ
ejpam-4882	197	12	distributions	distribution	NOUN
ejpam-4882	197	13	in	in	ADP
ejpam-4882	197	14	the	the	DET
ejpam-4882	197	15	literature	literature	NOUN
ejpam-4882	197	16	for	for	ADP
ejpam-4882	197	17	positive	positive	ADJ
ejpam-4882	197	18	real	real	ADJ
ejpam-4882	197	19	data	datum	NOUN
ejpam-4882	197	20	.	.	PUNCT
ejpam-4882	198	1	figure	figure	VERB
ejpam-4882	198	2	3	3	NUM
ejpam-4882	198	3	presents	present	VERB
ejpam-4882	198	4	the	the	DET
ejpam-4882	198	5	diagnostic	diagnostic	ADJ
ejpam-4882	198	6	plots	plot	NOUN
ejpam-4882	198	7	for	for	ADP
ejpam-4882	198	8	the	the	DET
ejpam-4882	198	9	aptgev	aptgev	NOUN
ejpam-4882	198	10	distributions	distribution	NOUN
ejpam-4882	198	11	.	.	PUNCT
ejpam-4882	199	1	most	most	ADJ
ejpam-4882	199	2	points	point	NOUN
ejpam-4882	199	3	in	in	ADP
ejpam-4882	199	4	the	the	DET
ejpam-4882	199	5	probability	probability	NOUN
ejpam-4882	199	6	and	and	CCONJ
ejpam-4882	199	7	quantile	quantile	ADJ
ejpam-4882	199	8	plots	plot	NOUN
ejpam-4882	199	9	closely	closely	ADV
ejpam-4882	199	10	align	align	VERB
ejpam-4882	199	11	with	with	ADP
ejpam-4882	199	12	the	the	DET
ejpam-4882	199	13	unit	unit	NOUN
ejpam-4882	199	14	diagonal	diagonal	NOUN
ejpam-4882	199	15	,	,	PUNCT
ejpam-4882	199	16	indicating	indicate	VERB
ejpam-4882	199	17	that	that	SCONJ
ejpam-4882	199	18	the	the	DET
ejpam-4882	199	19	aptgev	aptgev	NOUN
ejpam-4882	199	20	distribution	distribution	NOUN
ejpam-4882	199	21	functions	function	NOUN
ejpam-4882	199	22	offer	offer	VERB
ejpam-4882	199	23	reliable	reliable	ADJ
ejpam-4882	199	24	fits	fit	NOUN
ejpam-4882	199	25	.	.	PUNCT
ejpam-4882	200	1	this	this	PRON
ejpam-4882	200	2	aligns	align	VERB
ejpam-4882	200	3	with	with	ADP
ejpam-4882	200	4	the	the	DET
ejpam-4882	200	5	results	result	NOUN
ejpam-4882	200	6	from	from	ADP
ejpam-4882	200	7	the	the	DET
ejpam-4882	200	8	cramér	cramér	PROPN
ejpam-4882	200	9	-	-	PUNCT
ejpam-4882	200	10	von	von	PROPN
ejpam-4882	200	11	mises	mises	PROPN
ejpam-4882	200	12	(	(	PUNCT
ejpam-4882	200	13	w	w	NOUN
ejpam-4882	200	14	∗	∗	NOUN
ejpam-4882	200	15	)	)	PUNCT
ejpam-4882	200	16	and	and	CCONJ
ejpam-4882	200	17	anderson	anderson	PROPN
ejpam-4882	200	18	-	-	PUNCT
ejpam-4882	200	19	darling	darling	NOUN
ejpam-4882	200	20	(	(	PUNCT
ejpam-4882	200	21	a∗	a∗	ADJ
ejpam-4882	200	22	)	)	PUNCT
ejpam-4882	200	23	statistical	statistical	ADJ
ejpam-4882	200	24	tests	test	NOUN
ejpam-4882	200	25	.	.	PUNCT
ejpam-4882	201	1	furthermore	furthermore	ADV
ejpam-4882	201	2	,	,	PUNCT
ejpam-4882	201	3	the	the	DET
ejpam-4882	201	4	density	density	NOUN
ejpam-4882	201	5	plot	plot	NOUN
ejpam-4882	201	6	shows	show	VERB
ejpam-4882	201	7	a	a	DET
ejpam-4882	201	8	strong	strong	ADJ
ejpam-4882	201	9	concurrence	concurrence	NOUN
ejpam-4882	201	10	between	between	ADP
ejpam-4882	201	11	the	the	DET
ejpam-4882	201	12	established	establish	VERB
ejpam-4882	201	13	aptgev	aptgev	NOUN
ejpam-4882	201	14	distribution	distribution	NOUN
ejpam-4882	201	15	function	function	NOUN
ejpam-4882	201	16	and	and	CCONJ
ejpam-4882	201	17	the	the	DET
ejpam-4882	201	18	empirical	empirical	ADJ
ejpam-4882	201	19	density	density	NOUN
ejpam-4882	201	20	.	.	PUNCT
ejpam-4882	202	1	5	5	NUM
ejpam-4882	202	2	.	.	X
ejpam-4882	202	3	conclusions	conclusion	NOUN
ejpam-4882	202	4	this	this	DET
ejpam-4882	202	5	paper	paper	NOUN
ejpam-4882	202	6	introduces	introduce	VERB
ejpam-4882	202	7	a	a	DET
ejpam-4882	202	8	novel	novel	ADJ
ejpam-4882	202	9	extreme	extreme	ADJ
ejpam-4882	202	10	value	value	NOUN
ejpam-4882	202	11	distribution	distribution	NOUN
ejpam-4882	202	12	,	,	PUNCT
ejpam-4882	202	13	the	the	DET
ejpam-4882	202	14	alpha	alpha	NOUN
ejpam-4882	202	15	power	power	NOUN
ejpam-4882	202	16	transformation	transformation	NOUN
ejpam-4882	202	17	generalized	generalize	VERB
ejpam-4882	202	18	extreme	extreme	ADJ
ejpam-4882	202	19	value	value	NOUN
ejpam-4882	202	20	(	(	PUNCT
ejpam-4882	202	21	aptgev	aptgev	NOUN
ejpam-4882	202	22	)	)	PUNCT
ejpam-4882	202	23	distribution	distribution	NOUN
ejpam-4882	202	24	.	.	PUNCT
ejpam-4882	203	1	our	our	PRON
ejpam-4882	203	2	research	research	NOUN
ejpam-4882	203	3	methodology	methodology	NOUN
ejpam-4882	203	4	elaborates	elaborate	VERB
ejpam-4882	203	5	on	on	ADP
ejpam-4882	203	6	the	the	DET
ejpam-4882	203	7	maximum	maximum	ADJ
ejpam-4882	203	8	likelihood	likelihood	NOUN
ejpam-4882	203	9	estimation	estimation	NOUN
ejpam-4882	203	10	for	for	ADP
ejpam-4882	203	11	all	all	DET
ejpam-4882	203	12	parameters	parameter	NOUN
ejpam-4882	203	13	,	,	PUNCT
ejpam-4882	203	14	quantile	quantile	ADJ
ejpam-4882	203	15	function	function	NOUN
ejpam-4882	203	16	,	,	PUNCT
ejpam-4882	203	17	moment	moment	NOUN
ejpam-4882	203	18	generating	generate	VERB
ejpam-4882	203	19	function	function	NOUN
ejpam-4882	203	20	,	,	PUNCT
ejpam-4882	203	21	and	and	CCONJ
ejpam-4882	203	22	returns	return	VERB
ejpam-4882	203	23	levels	level	NOUN
ejpam-4882	203	24	of	of	ADP
ejpam-4882	203	25	gev	gev	PROPN
ejpam-4882	203	26	and	and	CCONJ
ejpam-4882	203	27	aptgve	aptgve	NOUN
ejpam-4882	203	28	distribution	distribution	NOUN
ejpam-4882	203	29	,	,	PUNCT
ejpam-4882	203	30	including	include	VERB
ejpam-4882	203	31	their	their	PRON
ejpam-4882	203	32	confidence	confidence	NOUN
ejpam-4882	203	33	intervals	interval	NOUN
ejpam-4882	203	34	.	.	PUNCT
ejpam-4882	204	1	owing	owe	VERB
ejpam-4882	204	2	to	to	ADP
ejpam-4882	204	3	the	the	DET
ejpam-4882	204	4	complexity	complexity	NOUN
ejpam-4882	204	5	of	of	ADP
ejpam-4882	204	6	likelihood	likelihood	NOUN
ejpam-4882	204	7	functions	function	NOUN
ejpam-4882	204	8	,	,	PUNCT
ejpam-4882	204	9	we	we	PRON
ejpam-4882	204	10	employ	employ	VERB
ejpam-4882	204	11	the	the	DET
ejpam-4882	204	12	newton	newton	PROPN
ejpam-4882	204	13	–	–	PUNCT
ejpam-4882	204	14	raphson	raphson	NOUN
ejpam-4882	204	15	method	method	NOUN
ejpam-4882	204	16	to	to	PART
ejpam-4882	204	17	derive	derive	VERB
ejpam-4882	204	18	the	the	DET
ejpam-4882	204	19	estimated	estimate	VERB
ejpam-4882	204	20	values	value	NOUN
ejpam-4882	204	21	for	for	ADP
ejpam-4882	204	22	all	all	DET
ejpam-4882	204	23	parameters	parameter	NOUN
ejpam-4882	204	24	.	.	PUNCT
ejpam-4882	205	1	through	through	ADP
ejpam-4882	205	2	monte	monte	PROPN
ejpam-4882	205	3	carlo	carlo	PROPN
ejpam-4882	205	4	experiments	experiment	NOUN
ejpam-4882	205	5	in	in	ADP
ejpam-4882	205	6	a	a	DET
ejpam-4882	205	7	simulation	simulation	NOUN
ejpam-4882	205	8	study	study	NOUN
ejpam-4882	205	9	,	,	PUNCT
ejpam-4882	205	10	we	we	PRON
ejpam-4882	205	11	examine	examine	VERB
ejpam-4882	205	12	the	the	DET
ejpam-4882	205	13	behavior	behavior	NOUN
ejpam-4882	205	14	of	of	ADP
ejpam-4882	205	15	these	these	DET
ejpam-4882	205	16	maximum	maximum	ADJ
ejpam-4882	205	17	likelihood	likelihood	NOUN
ejpam-4882	205	18	estimates	estimate	NOUN
ejpam-4882	205	19	,	,	PUNCT
ejpam-4882	205	20	which	which	PRON
ejpam-4882	205	21	closely	closely	ADV
ejpam-4882	205	22	align	align	VERB
ejpam-4882	205	23	with	with	ADP
ejpam-4882	205	24	their	their	PRON
ejpam-4882	205	25	initial	initial	ADJ
ejpam-4882	205	26	assigned	assign	VERB
ejpam-4882	205	27	values	value	NOUN
ejpam-4882	205	28	.	.	PUNCT
ejpam-4882	206	1	all	all	DET
ejpam-4882	206	2	parameters	parameter	NOUN
ejpam-4882	206	3	’	'	PUNCT
ejpam-4882	206	4	mean	mean	VERB
ejpam-4882	206	5	squared	square	VERB
ejpam-4882	206	6	errors	error	NOUN
ejpam-4882	206	7	(	(	PUNCT
ejpam-4882	206	8	mses	ms	NOUN
ejpam-4882	206	9	)	)	PUNCT
ejpam-4882	206	10	converge	converge	VERB
ejpam-4882	206	11	toward	toward	ADP
ejpam-4882	206	12	zero	zero	NUM
ejpam-4882	206	13	.	.	PUNCT
ejpam-4882	207	1	notably	notably	ADV
ejpam-4882	207	2	,	,	PUNCT
ejpam-4882	207	3	the	the	DET
ejpam-4882	207	4	biases	bias	NOUN
ejpam-4882	207	5	for	for	ADP
ejpam-4882	207	6	parameters	parameter	NOUN
ejpam-4882	207	7	µ	µ	X
ejpam-4882	207	8	,	,	PUNCT
ejpam-4882	207	9	σ	σ	PROPN
ejpam-4882	207	10	,	,	PUNCT
ejpam-4882	207	11	and	and	CCONJ
ejpam-4882	207	12	ξ	ξ	X
ejpam-4882	207	13	diminish	diminish	NOUN
ejpam-4882	207	14	with	with	ADP
ejpam-4882	207	15	an	an	DET
ejpam-4882	207	16	increase	increase	NOUN
ejpam-4882	207	17	in	in	ADP
ejpam-4882	207	18	sample	sample	NOUN
ejpam-4882	207	19	size	size	NOUN
ejpam-4882	207	20	,	,	PUNCT
ejpam-4882	207	21	while	while	SCONJ
ejpam-4882	207	22	the	the	DET
ejpam-4882	207	23	bias	bias	NOUN
ejpam-4882	207	24	for	for	ADP
ejpam-4882	207	25	α	α	NOUN
ejpam-4882	207	26	rises	rise	NOUN
ejpam-4882	207	27	.	.	PUNCT
ejpam-4882	208	1	yet	yet	ADV
ejpam-4882	208	2	,	,	PUNCT
ejpam-4882	208	3	across	across	ADP
ejpam-4882	208	4	different	different	ADJ
ejpam-4882	208	5	sample	sample	NOUN
ejpam-4882	208	6	sizes	size	NOUN
ejpam-4882	208	7	,	,	PUNCT
ejpam-4882	208	8	the	the	DET
ejpam-4882	208	9	estimated	estimate	VERB
ejpam-4882	208	10	values	value	NOUN
ejpam-4882	208	11	for	for	ADP
ejpam-4882	208	12	all	all	DET
ejpam-4882	208	13	four	four	NUM
ejpam-4882	208	14	parameters	parameter	NOUN
ejpam-4882	208	15	remain	remain	VERB
ejpam-4882	208	16	relatively	relatively	ADV
ejpam-4882	208	17	consistent	consistent	ADJ
ejpam-4882	208	18	.	.	PUNCT
ejpam-4882	209	1	regarding	regard	VERB
ejpam-4882	209	2	practical	practical	ADJ
ejpam-4882	209	3	applications	application	NOUN
ejpam-4882	209	4	,	,	PUNCT
ejpam-4882	209	5	we	we	PRON
ejpam-4882	209	6	apply	apply	VERB
ejpam-4882	209	7	the	the	DET
ejpam-4882	209	8	proposed	propose	VERB
ejpam-4882	209	9	distributions	distribution	NOUN
ejpam-4882	209	10	to	to	ADP
ejpam-4882	209	11	rainfall	rainfall	NOUN
ejpam-4882	209	12	data	data	PROPN
ejpam-4882	209	13	.	.	PUNCT
ejpam-4882	210	1	the	the	DET
ejpam-4882	210	2	results	result	NOUN
ejpam-4882	210	3	reveal	reveal	VERB
ejpam-4882	210	4	a	a	DET
ejpam-4882	210	5	commendable	commendable	ADJ
ejpam-4882	210	6	fit	fit	NOUN
ejpam-4882	210	7	per	per	ADP
ejpam-4882	210	8	the	the	DET
ejpam-4882	210	9	cramér	cramér	PROPN
ejpam-4882	210	10	-	-	PUNCT
ejpam-4882	210	11	von	von	PROPN
ejpam-4882	210	12	mises	mises	PROPN
ejpam-4882	210	13	and	and	CCONJ
ejpam-4882	210	14	anderson	anderson	PROPN
ejpam-4882	210	15	-	-	PUNCT
ejpam-4882	210	16	darling	darling	NOUN
ejpam-4882	210	17	goodness	goodness	NOUN
ejpam-4882	210	18	-	-	PUNCT
ejpam-4882	210	19	of	of	ADP
ejpam-4882	210	20	-	-	PUNCT
ejpam-4882	210	21	fit	fit	NOUN
ejpam-4882	210	22	tests	test	NOUN
ejpam-4882	210	23	.	.	PUNCT
ejpam-4882	211	1	thus	thus	ADV
ejpam-4882	211	2	,	,	PUNCT
ejpam-4882	211	3	these	these	DET
ejpam-4882	211	4	proposed	propose	VERB
ejpam-4882	211	5	distributions	distribution	NOUN
ejpam-4882	211	6	demonstrate	demonstrate	VERB
ejpam-4882	211	7	their	their	PRON
ejpam-4882	211	8	effectiveness	effectiveness	NOUN
ejpam-4882	211	9	in	in	ADP
ejpam-4882	211	10	fitting	fitting	ADJ
ejpam-4882	211	11	extreme	extreme	ADJ
ejpam-4882	211	12	data	data	NOUN
ejpam-4882	211	13	sets	set	NOUN
ejpam-4882	211	14	.	.	PUNCT
ejpam-4882	212	1	we	we	PRON
ejpam-4882	212	2	anticipate	anticipate	VERB
ejpam-4882	212	3	this	this	DET
ejpam-4882	212	4	generalization	generalization	NOUN
ejpam-4882	212	5	will	will	AUX
ejpam-4882	212	6	have	have	VERB
ejpam-4882	212	7	extensive	extensive	ADJ
ejpam-4882	212	8	applicability	applicability	NOUN
ejpam-4882	212	9	across	across	ADP
ejpam-4882	212	10	disciplines	discipline	NOUN
ejpam-4882	212	11	,	,	PUNCT
ejpam-4882	212	12	including	include	VERB
ejpam-4882	212	13	statistics	statistic	NOUN
ejpam-4882	212	14	,	,	PUNCT
ejpam-4882	212	15	mathematics	mathematic	NOUN
ejpam-4882	212	16	,	,	PUNCT
ejpam-4882	212	17	biology	biology	NOUN
ejpam-4882	212	18	,	,	PUNCT
ejpam-4882	212	19	environmental	environmental	ADJ
ejpam-4882	212	20	science	science	NOUN
ejpam-4882	212	21	,	,	PUNCT
ejpam-4882	212	22	engineering	engineering	NOUN
ejpam-4882	212	23	,	,	PUNCT
ejpam-4882	212	24	and	and	CCONJ
ejpam-4882	212	25	more	more	ADJ
ejpam-4882	212	26	.	.	PUNCT
ejpam-4882	213	1	moreover	moreover	ADV
ejpam-4882	213	2	,	,	PUNCT
ejpam-4882	213	3	our	our	PRON
ejpam-4882	213	4	study	study	NOUN
ejpam-4882	213	5	provides	provide	VERB
ejpam-4882	213	6	valuable	valuable	ADJ
ejpam-4882	213	7	insights	insight	NOUN
ejpam-4882	213	8	for	for	ADP
ejpam-4882	213	9	meteorologists	meteorologist	NOUN
ejpam-4882	213	10	regarding	regard	VERB
ejpam-4882	213	11	the	the	DET
ejpam-4882	213	12	behavior	behavior	NOUN
ejpam-4882	213	13	of	of	ADP
ejpam-4882	213	14	high	high	ADJ
ejpam-4882	213	15	rainfall	rainfall	NOUN
ejpam-4882	213	16	events	event	NOUN
ejpam-4882	213	17	within	within	ADP
ejpam-4882	213	18	the	the	DET
ejpam-4882	213	19	context	context	NOUN
ejpam-4882	213	20	of	of	ADP
ejpam-4882	213	21	extreme	extreme	ADJ
ejpam-4882	213	22	value	value	NOUN
ejpam-4882	213	23	theory	theory	NOUN
ejpam-4882	213	24	.	.	PUNCT
ejpam-4882	214	1	both	both	CCONJ
ejpam-4882	214	2	governmental	governmental	ADJ
ejpam-4882	214	3	and	and	CCONJ
ejpam-4882	214	4	non	non	ADJ
ejpam-4882	214	5	-	-	ADJ
ejpam-4882	214	6	governmental	governmental	ADJ
ejpam-4882	214	7	entities	entity	NOUN
ejpam-4882	214	8	can	can	AUX
ejpam-4882	214	9	leverage	leverage	VERB
ejpam-4882	214	10	these	these	DET
ejpam-4882	214	11	insights	insight	NOUN
ejpam-4882	214	12	to	to	PART
ejpam-4882	214	13	make	make	VERB
ejpam-4882	214	14	informed	informed	ADJ
ejpam-4882	214	15	decisions	decision	NOUN
ejpam-4882	214	16	and	and	CCONJ
ejpam-4882	214	17	devise	devise	VERB
ejpam-4882	214	18	contingency	contingency	NOUN
ejpam-4882	214	19	plans	plan	NOUN
ejpam-4882	214	20	in	in	ADP
ejpam-4882	214	21	preparation	preparation	NOUN
ejpam-4882	214	22	for	for	ADP
ejpam-4882	214	23	the	the	DET
ejpam-4882	214	24	effects	effect	NOUN
ejpam-4882	214	25	of	of	ADP
ejpam-4882	214	26	extreme	extreme	ADJ
ejpam-4882	214	27	rainfall	rainfall	NOUN
ejpam-4882	214	28	events	event	NOUN
ejpam-4882	214	29	.	.	PUNCT
ejpam-4882	215	1	such	such	ADJ
ejpam-4882	215	2	measures	measure	NOUN
ejpam-4882	215	3	can	can	AUX
ejpam-4882	215	4	aid	aid	VERB
ejpam-4882	215	5	in	in	ADP
ejpam-4882	215	6	early	early	ADJ
ejpam-4882	215	7	warning	warning	NOUN
ejpam-4882	215	8	systems	system	NOUN
ejpam-4882	215	9	,	,	PUNCT
ejpam-4882	215	10	food	food	NOUN
ejpam-4882	215	11	security	security	NOUN
ejpam-4882	215	12	,	,	PUNCT
ejpam-4882	215	13	poverty	poverty	NOUN
ejpam-4882	215	14	reduction	reduction	NOUN
ejpam-4882	215	15	,	,	PUNCT
ejpam-4882	215	16	and	and	CCONJ
ejpam-4882	215	17	disaster	disaster	NOUN
ejpam-4882	215	18	or	or	CCONJ
ejpam-4882	215	19	risk	risk	NOUN
ejpam-4882	215	20	management	management	NOUN
ejpam-4882	215	21	,	,	PUNCT
ejpam-4882	215	22	among	among	ADP
ejpam-4882	215	23	other	other	ADJ
ejpam-4882	215	24	areas	area	NOUN
ejpam-4882	215	25	.	.	PUNCT
ejpam-4882	216	1	beyond	beyond	ADP
ejpam-4882	216	2	its	its	PRON
ejpam-4882	216	3	practical	practical	ADJ
ejpam-4882	216	4	applications	application	NOUN
ejpam-4882	216	5	,	,	PUNCT
ejpam-4882	216	6	our	our	PRON
ejpam-4882	216	7	study	study	NOUN
ejpam-4882	216	8	also	also	ADV
ejpam-4882	216	9	enriches	enrich	VERB
ejpam-4882	216	10	theoretical	theoretical	ADJ
ejpam-4882	216	11	knowledge	knowledge	NOUN
ejpam-4882	216	12	,	,	PUNCT
ejpam-4882	216	13	expands	expand	VERB
ejpam-4882	216	14	the	the	DET
ejpam-4882	216	15	scope	scope	NOUN
ejpam-4882	216	16	of	of	ADP
ejpam-4882	216	17	extreme	extreme	ADJ
ejpam-4882	216	18	value	value	NOUN
ejpam-4882	216	19	theory	theory	NOUN
ejpam-4882	216	20	,	,	PUNCT
ejpam-4882	216	21	and	and	CCONJ
ejpam-4882	216	22	makes	make	VERB
ejpam-4882	216	23	other	other	ADJ
ejpam-4882	216	24	theories	theory	NOUN
ejpam-4882	216	25	more	more	ADV
ejpam-4882	216	26	efficient	efficient	ADJ
ejpam-4882	216	27	.	.	PUNCT
ejpam-4882	217	1	references	reference	NOUN
ejpam-4882	217	2	2473	2473	NUM
ejpam-4882	217	3	acknowledgements	acknowledgement	NOUN
ejpam-4882	217	4	this	this	DET
ejpam-4882	217	5	work	work	NOUN
ejpam-4882	217	6	is	be	AUX
ejpam-4882	217	7	a	a	DET
ejpam-4882	217	8	partially	partially	ADV
ejpam-4882	217	9	supported	support	VERB
ejpam-4882	217	10	dataset	dataset	NOUN
ejpam-4882	217	11	from	from	ADP
ejpam-4882	217	12	the	the	DET
ejpam-4882	217	13	thailand	thailand	PROPN
ejpam-4882	217	14	meteorological	meteorological	PROPN
ejpam-4882	217	15	department	department	PROPN
ejpam-4882	217	16	.	.	PUNCT
ejpam-4882	218	1	the	the	DET
ejpam-4882	218	2	authors	author	NOUN
ejpam-4882	218	3	also	also	ADV
ejpam-4882	218	4	gratefully	gratefully	ADV
ejpam-4882	218	5	acknowledge	acknowledge	VERB
ejpam-4882	218	6	the	the	DET
ejpam-4882	218	7	helpful	helpful	ADJ
ejpam-4882	218	8	comments	comment	NOUN
ejpam-4882	218	9	and	and	CCONJ
ejpam-4882	218	10	suggestions	suggestion	NOUN
ejpam-4882	218	11	of	of	ADP
ejpam-4882	218	12	the	the	DET
ejpam-4882	218	13	reviewers	reviewer	NOUN
ejpam-4882	218	14	,	,	PUNCT
ejpam-4882	218	15	which	which	PRON
ejpam-4882	218	16	have	have	AUX
ejpam-4882	218	17	improved	improve	VERB
ejpam-4882	218	18	the	the	DET
ejpam-4882	218	19	presentation	presentation	NOUN
ejpam-4882	218	20	.	.	PUNCT
ejpam-4882	219	1	0.0	0.0	NUM
ejpam-4882	219	2	0.2	0.2	NUM
ejpam-4882	219	3	0.4	0.4	NUM
ejpam-4882	219	4	0.6	0.6	NUM
ejpam-4882	219	5	0.8	0.8	NUM
ejpam-4882	219	6	1.0	1.0	NUM
ejpam-4882	219	7	0	0	NUM
ejpam-4882	219	8	.0	.0	NUM
ejpam-4882	219	9	0	0	NUM
ejpam-4882	220	1	.2	.2	NUM
ejpam-4882	220	2	0	0	NUM
ejpam-4882	221	1	.4	.4	NUM
ejpam-4882	221	2	0	0	NUM
ejpam-4882	222	1	.6	.6	NUM
ejpam-4882	222	2	0	0	NUM
ejpam-4882	222	3	.8	.8	NUM
ejpam-4882	222	4	1	1	NUM
ejpam-4882	222	5	.0	.0	NUM
ejpam-4882	222	6	probability	probability	NOUN
ejpam-4882	222	7	plot	plot	NOUN
ejpam-4882	222	8	empirical	empirical	ADJ
ejpam-4882	222	9	m	m	NOUN
ejpam-4882	222	10	o	o	NOUN
ejpam-4882	222	11	d	d	X
ejpam-4882	222	12	e	e	NOUN
ejpam-4882	222	13	l	l	NOUN
ejpam-4882	222	14	50	50	NUM
ejpam-4882	222	15	100	100	NUM
ejpam-4882	222	16	150	150	NUM
ejpam-4882	222	17	5	5	NUM
ejpam-4882	222	18	0	0	NUM
ejpam-4882	222	19	1	1	NUM
ejpam-4882	222	20	0	0	NUM
ejpam-4882	222	21	0	0	NUM
ejpam-4882	222	22	1	1	NUM
ejpam-4882	222	23	5	5	NUM
ejpam-4882	222	24	0	0	NUM
ejpam-4882	222	25	2	2	NUM
ejpam-4882	222	26	0	0	NUM
ejpam-4882	222	27	0	0	NUM
ejpam-4882	222	28	2	2	NUM
ejpam-4882	222	29	5	5	NUM
ejpam-4882	222	30	0	0	NUM
ejpam-4882	222	31	quantile	quantile	ADJ
ejpam-4882	222	32	plot	plot	NOUN
ejpam-4882	222	33	ordered	order	VERB
ejpam-4882	222	34	m	m	NOUN
ejpam-4882	222	35	o	o	NOUN
ejpam-4882	222	36	d	d	X
ejpam-4882	222	37	e	e	X
ejpam-4882	222	38	l.	l.	PROPN
ejpam-4882	222	39	q	q	PROPN
ejpam-4882	222	40	u	u	PROPN
ejpam-4882	222	41	a	a	PRON
ejpam-4882	222	42	n	n	ADV
ejpam-4882	222	43	ti	ti	NOUN
ejpam-4882	222	44	le	le	X
ejpam-4882	222	45	density	density	PROPN
ejpam-4882	222	46	plot	plot	NOUN
ejpam-4882	222	47	z	z	PROPN
ejpam-4882	223	1	f	f	X
ejpam-4882	223	2	(	(	PUNCT
ejpam-4882	223	3	z	z	NOUN
ejpam-4882	223	4	)	)	PUNCT
ejpam-4882	223	5	50	50	NUM
ejpam-4882	223	6	100	100	NUM
ejpam-4882	223	7	150	150	NUM
ejpam-4882	223	8	0	0	NUM
ejpam-4882	224	1	.0	.0	NUM
ejpam-4882	224	2	0	0	NUM
ejpam-4882	224	3	0	0	NUM
ejpam-4882	224	4	0	0	NUM
ejpam-4882	225	1	.0	.0	NUM
ejpam-4882	225	2	1	1	NUM
ejpam-4882	225	3	0	0	NUM
ejpam-4882	225	4	0	0	NUM
ejpam-4882	225	5	.0	.0	NUM
ejpam-4882	225	6	2	2	NUM
ejpam-4882	225	7	0	0	NUM
ejpam-4882	225	8	0	0	NUM
ejpam-4882	225	9	.0	.0	NUM
ejpam-4882	225	10	3	3	NUM
ejpam-4882	225	11	0	0	NUM
ejpam-4882	225	12	0	0	NUM
ejpam-4882	225	13	200	200	NUM
ejpam-4882	225	14	400	400	NUM
ejpam-4882	225	15	600	600	NUM
ejpam-4882	225	16	800	800	NUM
ejpam-4882	225	17	1000	1000	NUM
ejpam-4882	225	18	0	0	NUM
ejpam-4882	225	19	2	2	NUM
ejpam-4882	225	20	0	0	NUM
ejpam-4882	225	21	0	0	NUM
ejpam-4882	225	22	4	4	NUM
ejpam-4882	225	23	0	0	NUM
ejpam-4882	225	24	0	0	NUM
ejpam-4882	225	25	6	6	NUM
ejpam-4882	225	26	0	0	NUM
ejpam-4882	225	27	0	0	NUM
ejpam-4882	225	28	8	8	NUM
ejpam-4882	225	29	0	0	NUM
ejpam-4882	225	30	0	0	NUM
ejpam-4882	225	31	95	95	NUM
ejpam-4882	225	32	%	%	NOUN
ejpam-4882	225	33	ci	ci	NOUN
ejpam-4882	225	34	of	of	ADP
ejpam-4882	225	35	return	return	NOUN
ejpam-4882	225	36	level	level	NOUN
ejpam-4882	225	37	plot	plot	NOUN
ejpam-4882	225	38	return	return	NOUN
ejpam-4882	225	39	period	period	NOUN
ejpam-4882	225	40	r	r	NOUN
ejpam-4882	225	41	e	e	X
ejpam-4882	225	42	tu	tu	PROPN
ejpam-4882	225	43	rn	rn	PROPN
ejpam-4882	225	44	l	l	PROPN
ejpam-4882	225	45	e	e	PROPN
ejpam-4882	225	46	ve	ve	PROPN
ejpam-4882	225	47	l	l	NOUN
ejpam-4882	225	48	figure	figure	NOUN
ejpam-4882	225	49	3	3	NUM
ejpam-4882	225	50	:	:	PUNCT
ejpam-4882	225	51	diagnostic	diagnostic	ADJ
ejpam-4882	225	52	plots	plot	NOUN
ejpam-4882	225	53	for	for	ADP
ejpam-4882	225	54	aptgev	aptgev	NOUN
ejpam-4882	225	55	distribution	distribution	NOUN
ejpam-4882	225	56	,	,	PUNCT
ejpam-4882	225	57	applying	apply	VERB
ejpam-4882	225	58	to	to	ADP
ejpam-4882	225	59	rainfall	rainfall	NOUN
ejpam-4882	225	60	data	datum	NOUN
ejpam-4882	225	61	in	in	ADP
ejpam-4882	225	62	phitsanulok	phitsanulok	PROPN
ejpam-4882	225	63	province	province	PROPN
ejpam-4882	225	64	,	,	PUNCT
ejpam-4882	225	65	thailand	thailand	PROPN
ejpam-4882	225	66	references	reference	NOUN
ejpam-4882	225	67	[	[	X
ejpam-4882	225	68	1	1	X
ejpam-4882	225	69	]	]	PUNCT
ejpam-4882	225	70	s.	s.	PROPN
ejpam-4882	225	71	el	el	PROPN
ejpam-4882	225	72	adlouni	adlouni	PROPN
ejpam-4882	225	73	,	,	PUNCT
ejpam-4882	225	74	t.	t.	PROPN
ejpam-4882	225	75	b.	b.	PROPN
ejpam-4882	225	76	m.	m.	PROPN
ejpam-4882	225	77	j.	j.	PROPN
ejpam-4882	225	78	ouarda	ouarda	PROPN
ejpam-4882	225	79	,	,	PUNCT
ejpam-4882	225	80	x.	x.	PROPN
ejpam-4882	225	81	zhang	zhang	PROPN
ejpam-4882	225	82	,	,	PUNCT
ejpam-4882	225	83	r.	r.	PROPN
ejpam-4882	225	84	roy	roy	PROPN
ejpam-4882	225	85	,	,	PUNCT
ejpam-4882	225	86	and	and	CCONJ
ejpam-4882	225	87	b.	b.	PROPN
ejpam-4882	225	88	bobee	bobee	PROPN
ejpam-4882	225	89	.	.	PUNCT
ejpam-4882	226	1	generalized	generalize	VERB
ejpam-4882	226	2	maximum	maximum	ADJ
ejpam-4882	226	3	likelihood	likelihood	NOUN
ejpam-4882	226	4	estimators	estimator	NOUN
ejpam-4882	226	5	for	for	ADP
ejpam-4882	226	6	the	the	DET
ejpam-4882	226	7	nonstationary	nonstationary	ADJ
ejpam-4882	226	8	generalized	generalized	ADJ
ejpam-4882	226	9	extreme	extreme	ADJ
ejpam-4882	226	10	value	value	NOUN
ejpam-4882	226	11	model	model	NOUN
ejpam-4882	226	12	.	.	PUNCT
ejpam-4882	227	1	water	water	NOUN
ejpam-4882	227	2	resources	resource	NOUN
ejpam-4882	227	3	research	research	NOUN
ejpam-4882	227	4	,	,	PUNCT
ejpam-4882	227	5	43:1–13	43:1–13	NUM
ejpam-4882	227	6	,	,	PUNCT
ejpam-4882	227	7	2007	2007	NUM
ejpam-4882	227	8	.	.	PUNCT
ejpam-4882	228	1	[	[	X
ejpam-4882	228	2	2	2	X
ejpam-4882	228	3	]	]	PUNCT
ejpam-4882	228	4	p.	p.	NOUN
ejpam-4882	228	5	busababodhin	busababodhin	PROPN
ejpam-4882	228	6	and	and	CCONJ
ejpam-4882	228	7	a.	a.	NOUN
ejpam-4882	228	8	kaewmun	kaewmun	PROPN
ejpam-4882	228	9	.	.	PUNCT
ejpam-4882	229	1	extreme	extreme	ADJ
ejpam-4882	229	2	values	value	NOUN
ejpam-4882	229	3	statistics	statistic	NOUN
ejpam-4882	229	4	.	.	PUNCT
ejpam-4882	230	1	the	the	DET
ejpam-4882	230	2	journal	journal	NOUN
ejpam-4882	230	3	of	of	ADP
ejpam-4882	230	4	king	king	PROPN
ejpam-4882	230	5	mongkut	mongkut	PROPN
ejpam-4882	230	6	’s	’s	PROPN
ejpam-4882	230	7	university	university	PROPN
ejpam-4882	230	8	of	of	ADP
ejpam-4882	230	9	technology	technology	PROPN
ejpam-4882	230	10	north	north	PROPN
ejpam-4882	230	11	bangkok	bangkok	PROPN
ejpam-4882	230	12	,	,	PUNCT
ejpam-4882	230	13	25(2):55–65	25(2):55–65	NUM
ejpam-4882	230	14	,	,	PUNCT
ejpam-4882	230	15	2015	2015	NUM
ejpam-4882	230	16	.	.	PUNCT
ejpam-4882	231	1	references	reference	NOUN
ejpam-4882	231	2	2474	2474	NUM
ejpam-4882	231	3	[	[	X
ejpam-4882	231	4	3	3	X
ejpam-4882	231	5	]	]	X
ejpam-4882	231	6	g.	g.	PROPN
ejpam-4882	231	7	chen	chen	PROPN
ejpam-4882	231	8	and	and	CCONJ
ejpam-4882	231	9	n.	n.	PROPN
ejpam-4882	231	10	balakrishnan	balakrishnan	PROPN
ejpam-4882	231	11	.	.	PUNCT
ejpam-4882	232	1	a	a	DET
ejpam-4882	232	2	general	general	ADJ
ejpam-4882	232	3	purpose	purpose	NOUN
ejpam-4882	232	4	approximate	approximate	ADJ
ejpam-4882	232	5	goodness	goodness	NOUN
ejpam-4882	232	6	-	-	PUNCT
ejpam-4882	232	7	of	of	ADP
ejpam-4882	232	8	-	-	PUNCT
ejpam-4882	232	9	fit	fit	NOUN
ejpam-4882	232	10	test	test	NOUN
ejpam-4882	232	11	.	.	PUNCT
ejpam-4882	233	1	journal	journal	NOUN
ejpam-4882	233	2	of	of	ADP
ejpam-4882	233	3	quality	quality	NOUN
ejpam-4882	233	4	technology	technology	NOUN
ejpam-4882	233	5	,	,	PUNCT
ejpam-4882	233	6	27(2):154–161	27(2):154–161	PROPN
ejpam-4882	233	7	,	,	PUNCT
ejpam-4882	233	8	1995	1995	NUM
ejpam-4882	233	9	.	.	PUNCT
ejpam-4882	234	1	[	[	X
ejpam-4882	234	2	4	4	X
ejpam-4882	234	3	]	]	X
ejpam-4882	234	4	d.	d.	PROPN
ejpam-4882	234	5	chikobvu	chikobvu	PROPN
ejpam-4882	234	6	and	and	CCONJ
ejpam-4882	234	7	r.	r.	PROPN
ejpam-4882	234	8	chifurira	chifurira	PROPN
ejpam-4882	234	9	.	.	PUNCT
ejpam-4882	235	1	modelling	modelling	NOUN
ejpam-4882	235	2	of	of	ADP
ejpam-4882	235	3	extreme	extreme	ADJ
ejpam-4882	235	4	minimum	minimum	ADJ
ejpam-4882	235	5	rainfall	rainfall	NOUN
ejpam-4882	235	6	using	use	VERB
ejpam-4882	235	7	generalised	generalise	VERB
ejpam-4882	235	8	extreme	extreme	ADJ
ejpam-4882	235	9	value	value	NOUN
ejpam-4882	235	10	distribution	distribution	NOUN
ejpam-4882	235	11	for	for	ADP
ejpam-4882	235	12	zimbabwe	zimbabwe	PROPN
ejpam-4882	235	13	.	.	PUNCT
ejpam-4882	236	1	south	south	ADJ
ejpam-4882	236	2	african	african	ADJ
ejpam-4882	236	3	journal	journal	PROPN
ejpam-4882	236	4	of	of	ADP
ejpam-4882	236	5	science	science	NOUN
ejpam-4882	236	6	,	,	PUNCT
ejpam-4882	236	7	111:1–8	111:1–8	NUM
ejpam-4882	236	8	,	,	PUNCT
ejpam-4882	236	9	2015	2015	NUM
ejpam-4882	236	10	.	.	PUNCT
ejpam-4882	237	1	[	[	X
ejpam-4882	237	2	5	5	NUM
ejpam-4882	237	3	]	]	X
ejpam-4882	237	4	n.	n.	NOUN
ejpam-4882	237	5	deetae	deetae	PROPN
ejpam-4882	237	6	.	.	PUNCT
ejpam-4882	238	1	analysis	analysis	NOUN
ejpam-4882	238	2	and	and	CCONJ
ejpam-4882	238	3	mathematical	mathematical	ADJ
ejpam-4882	238	4	modeling	modeling	NOUN
ejpam-4882	238	5	for	for	ADP
ejpam-4882	238	6	flood	flood	NOUN
ejpam-4882	238	7	surveillance	surveillance	NOUN
ejpam-4882	238	8	from	from	ADP
ejpam-4882	238	9	rainfall	rainfall	NOUN
ejpam-4882	238	10	by	by	ADP
ejpam-4882	238	11	extreme	extreme	ADJ
ejpam-4882	238	12	value	value	NOUN
ejpam-4882	238	13	theory	theory	NOUN
ejpam-4882	238	14	for	for	ADP
ejpam-4882	238	15	agriculture	agriculture	NOUN
ejpam-4882	238	16	in	in	ADP
ejpam-4882	238	17	phitsanulok	phitsanulok	PROPN
ejpam-4882	238	18	province	province	PROPN
ejpam-4882	238	19	,	,	PUNCT
ejpam-4882	238	20	thailand	thailand	PROPN
ejpam-4882	238	21	.	.	PUNCT
ejpam-4882	239	1	european	european	PROPN
ejpam-4882	239	2	journal	journal	PROPN
ejpam-4882	239	3	of	of	ADP
ejpam-4882	239	4	pure	pure	ADJ
ejpam-4882	239	5	and	and	CCONJ
ejpam-4882	239	6	applied	applied	ADJ
ejpam-4882	239	7	mathematics	mathematic	NOUN
ejpam-4882	239	8	,	,	PUNCT
ejpam-4882	239	9	15(4):1797–1807	15(4):1797–1807	NUM
ejpam-4882	239	10	,	,	PUNCT
ejpam-4882	239	11	2022	2022	NUM
ejpam-4882	239	12	.	.	PUNCT
ejpam-4882	240	1	[	[	X
ejpam-4882	240	2	6	6	NUM
ejpam-4882	240	3	]	]	PUNCT
ejpam-4882	240	4	l.	l.	PROPN
ejpam-4882	240	5	gao	gao	PROPN
ejpam-4882	240	6	,	,	PUNCT
ejpam-4882	240	7	l.	l.	PROPN
ejpam-4882	240	8	zhang	zhang	PROPN
ejpam-4882	240	9	,	,	PUNCT
ejpam-4882	240	10	and	and	CCONJ
ejpam-4882	240	11	x.	x.	PROPN
ejpam-4882	240	12	xu	xu	PROPN
ejpam-4882	240	13	.	.	PUNCT
ejpam-4882	241	1	a	a	DET
ejpam-4882	241	2	global	global	ADJ
ejpam-4882	241	3	data	datum	NOUN
ejpam-4882	241	4	set	set	VERB
ejpam-4882	241	5	for	for	ADP
ejpam-4882	241	6	economic	economic	ADJ
ejpam-4882	241	7	losses	loss	NOUN
ejpam-4882	241	8	of	of	ADP
ejpam-4882	241	9	extreme	extreme	ADJ
ejpam-4882	241	10	hydrological	hydrological	ADJ
ejpam-4882	241	11	events	event	NOUN
ejpam-4882	241	12	during	during	ADP
ejpam-4882	241	13	1960–2014	1960–2014	NUM
ejpam-4882	241	14	.	.	PUNCT
ejpam-4882	242	1	water	water	NOUN
ejpam-4882	242	2	resources	resource	NOUN
ejpam-4882	242	3	research	research	NOUN
ejpam-4882	242	4	,	,	PUNCT
ejpam-4882	242	5	5:5165–5175	5:5165–5175	NUM
ejpam-4882	242	6	,	,	PUNCT
ejpam-4882	242	7	2019	2019	NUM
ejpam-4882	242	8	.	.	PUNCT
ejpam-4882	243	1	[	[	X
ejpam-4882	243	2	7	7	X
ejpam-4882	243	3	]	]	X
ejpam-4882	243	4	e.	e.	PROPN
ejpam-4882	243	5	gilleland	gilleland	PROPN
ejpam-4882	243	6	,	,	PUNCT
ejpam-4882	243	7	m.	m.	NOUN
ejpam-4882	243	8	ribatet	ribatet	NOUN
ejpam-4882	243	9	,	,	PUNCT
ejpam-4882	243	10	and	and	CCONJ
ejpam-4882	243	11	a.	a.	PROPN
ejpam-4882	243	12	g.	g.	PROPN
ejpam-4882	243	13	stephenson	stephenson	PROPN
ejpam-4882	243	14	.	.	PUNCT
ejpam-4882	244	1	a	a	DET
ejpam-4882	244	2	software	software	NOUN
ejpam-4882	244	3	review	review	NOUN
ejpam-4882	244	4	for	for	ADP
ejpam-4882	244	5	extreme	extreme	ADJ
ejpam-4882	244	6	value	value	NOUN
ejpam-4882	244	7	analysis	analysis	NOUN
ejpam-4882	244	8	.	.	PUNCT
ejpam-4882	245	1	extremes	extreme	NOUN
ejpam-4882	245	2	,	,	PUNCT
ejpam-4882	245	3	16(1):103–119	16(1):103–119	NUM
ejpam-4882	245	4	,	,	PUNCT
ejpam-4882	245	5	2013	2013	NUM
ejpam-4882	245	6	.	.	PUNCT
ejpam-4882	246	1	[	[	X
ejpam-4882	246	2	8	8	NUM
ejpam-4882	246	3	]	]	X
ejpam-4882	246	4	s.	s.	PROPN
ejpam-4882	246	5	ihtisham	ihtisham	PROPN
ejpam-4882	246	6	,	,	PUNCT
ejpam-4882	246	7	a.	a.	PROPN
ejpam-4882	246	8	khalil	khalil	PROPN
ejpam-4882	246	9	,	,	PUNCT
ejpam-4882	246	10	s.	s.	PROPN
ejpam-4882	246	11	manzoor	manzoor	PROPN
ejpam-4882	246	12	,	,	PUNCT
ejpam-4882	246	13	s.	s.	PROPN
ejpam-4882	246	14	a.	a.	PROPN
ejpam-4882	246	15	khanid	khanid	PROPN
ejpam-4882	246	16	,	,	PUNCT
ejpam-4882	246	17	and	and	CCONJ
ejpam-4882	246	18	a.	a.	PROPN
ejpam-4882	246	19	ali	ali	PROPN
ejpam-4882	246	20	.	.	PUNCT
ejpam-4882	247	1	alpha	alpha	PROPN
ejpam-4882	247	2	-	-	PUNCT
ejpam-4882	247	3	power	power	NOUN
ejpam-4882	247	4	pareto	pareto	ADJ
ejpam-4882	247	5	distribution	distribution	NOUN
ejpam-4882	247	6	:	:	PUNCT
ejpam-4882	247	7	its	its	PRON
ejpam-4882	247	8	properties	property	NOUN
ejpam-4882	247	9	and	and	CCONJ
ejpam-4882	247	10	applications	application	NOUN
ejpam-4882	247	11	.	.	PUNCT
ejpam-4882	248	1	plos	plos	PROPN
ejpam-4882	248	2	one	one	NUM
ejpam-4882	248	3	,	,	PUNCT
ejpam-4882	248	4	14(6):e0218027	14(6):e0218027	NOUN
ejpam-4882	248	5	,	,	PUNCT
ejpam-4882	248	6	2022	2022	NUM
ejpam-4882	248	7	.	.	PUNCT
ejpam-4882	249	1	[	[	X
ejpam-4882	249	2	9	9	NUM
ejpam-4882	249	3	]	]	PUNCT
ejpam-4882	249	4	e.	e.	PROPN
ejpam-4882	249	5	a.	a.	PROPN
ejpam-4882	249	6	ijigah	ijigah	PROPN
ejpam-4882	249	7	and	and	CCONJ
ejpam-4882	249	8	t.	t.	PROPN
ejpam-4882	249	9	a.	a.	NOUN
ejpam-4882	249	10	akinyemi	akinyemi	PROPN
ejpam-4882	249	11	.	.	PUNCT
ejpam-4882	250	1	flood	flood	NOUN
ejpam-4882	250	2	disaster	disaster	NOUN
ejpam-4882	250	3	:	:	PUNCT
ejpam-4882	250	4	an	an	DET
ejpam-4882	250	5	empirical	empirical	ADJ
ejpam-4882	250	6	survey	survey	NOUN
ejpam-4882	250	7	of	of	ADP
ejpam-4882	250	8	causative	causative	ADJ
ejpam-4882	250	9	factors	factor	NOUN
ejpam-4882	250	10	and	and	CCONJ
ejpam-4882	250	11	preventive	preventive	ADJ
ejpam-4882	250	12	measures	measure	NOUN
ejpam-4882	250	13	in	in	ADP
ejpam-4882	250	14	kaduna	kaduna	PROPN
ejpam-4882	250	15	,	,	PUNCT
ejpam-4882	250	16	nigeria	nigeria	PROPN
ejpam-4882	250	17	.	.	PUNCT
ejpam-4882	251	1	international	international	ADJ
ejpam-4882	251	2	journal	journal	PROPN
ejpam-4882	251	3	of	of	ADP
ejpam-4882	251	4	environment	environment	NOUN
ejpam-4882	251	5	and	and	CCONJ
ejpam-4882	251	6	pollution	pollution	NOUN
ejpam-4882	251	7	,	,	PUNCT
ejpam-4882	251	8	3:53–56	3:53–56	NUM
ejpam-4882	251	9	,	,	PUNCT
ejpam-4882	251	10	2015	2015	NUM
ejpam-4882	251	11	.	.	PUNCT
ejpam-4882	252	1	[	[	X
ejpam-4882	252	2	10	10	NUM
ejpam-4882	252	3	]	]	X
ejpam-4882	252	4	c.	c.	PROPN
ejpam-4882	252	5	jones	jones	PROPN
ejpam-4882	252	6	,	,	PUNCT
ejpam-4882	252	7	d.	d.	PROPN
ejpam-4882	252	8	e.	e.	PROPN
ejpam-4882	252	9	waliser	waliser	PROPN
ejpam-4882	252	10	,	,	PUNCT
ejpam-4882	252	11	k.	k.	PROPN
ejpam-4882	252	12	m.	m.	PROPN
ejpam-4882	252	13	lau	lau	PROPN
ejpam-4882	252	14	,	,	PUNCT
ejpam-4882	252	15	and	and	CCONJ
ejpam-4882	252	16	w.	w.	PROPN
ejpam-4882	252	17	stern	stern	PROPN
ejpam-4882	252	18	.	.	PUNCT
ejpam-4882	253	1	global	global	ADJ
ejpam-4882	253	2	occurrences	occurrence	NOUN
ejpam-4882	253	3	of	of	ADP
ejpam-4882	253	4	extreme	extreme	ADJ
ejpam-4882	253	5	precipitation	precipitation	NOUN
ejpam-4882	253	6	and	and	CCONJ
ejpam-4882	253	7	the	the	DET
ejpam-4882	253	8	madden	madden	PROPN
ejpam-4882	253	9	–	–	PUNCT
ejpam-4882	253	10	julian	julian	PROPN
ejpam-4882	253	11	oscillation	oscillation	PROPN
ejpam-4882	253	12	:	:	PUNCT
ejpam-4882	253	13	observations	observation	NOUN
ejpam-4882	253	14	and	and	CCONJ
ejpam-4882	253	15	predictability	predictability	NOUN
ejpam-4882	253	16	.	.	PUNCT
ejpam-4882	254	1	journal	journal	NOUN
ejpam-4882	254	2	of	of	ADP
ejpam-4882	254	3	climate	climate	NOUN
ejpam-4882	254	4	,	,	PUNCT
ejpam-4882	254	5	17:4575–4589	17:4575–4589	NUM
ejpam-4882	254	6	,	,	PUNCT
ejpam-4882	254	7	2004	2004	NUM
ejpam-4882	254	8	.	.	PUNCT
ejpam-4882	255	1	[	[	X
ejpam-4882	255	2	11	11	NUM
ejpam-4882	255	3	]	]	PUNCT
ejpam-4882	255	4	a.	a.	NOUN
ejpam-4882	255	5	mahdavi	mahdavi	NOUN
ejpam-4882	255	6	and	and	CCONJ
ejpam-4882	255	7	d.	d.	PROPN
ejpam-4882	255	8	kundu	kundu	PROPN
ejpam-4882	255	9	.	.	PUNCT
ejpam-4882	256	1	a	a	DET
ejpam-4882	256	2	new	new	ADJ
ejpam-4882	256	3	method	method	NOUN
ejpam-4882	256	4	for	for	ADP
ejpam-4882	256	5	generating	generate	VERB
ejpam-4882	256	6	distributions	distribution	NOUN
ejpam-4882	256	7	with	with	ADP
ejpam-4882	256	8	an	an	DET
ejpam-4882	256	9	application	application	NOUN
ejpam-4882	256	10	to	to	ADP
ejpam-4882	256	11	exponential	exponential	ADJ
ejpam-4882	256	12	distribution	distribution	NOUN
ejpam-4882	256	13	.	.	PUNCT
ejpam-4882	257	1	communications	communication	NOUN
ejpam-4882	257	2	in	in	ADP
ejpam-4882	257	3	statistics	statistic	NOUN
ejpam-4882	257	4	-	-	PUNCT
ejpam-4882	257	5	theory	theory	NOUN
ejpam-4882	257	6	and	and	CCONJ
ejpam-4882	257	7	methods	method	NOUN
ejpam-4882	257	8	,	,	PUNCT
ejpam-4882	257	9	46(13):6543–6557	46(13):6543–6557	NUM
ejpam-4882	257	10	,	,	PUNCT
ejpam-4882	257	11	2017	2017	NUM
ejpam-4882	257	12	.	.	PUNCT
ejpam-4882	258	1	[	[	X
ejpam-4882	258	2	12	12	NUM
ejpam-4882	258	3	]	]	X
ejpam-4882	258	4	j.-l	j.-l	ADJ
ejpam-4882	258	5	martel	martel	NOUN
ejpam-4882	258	6	,	,	PUNCT
ejpam-4882	258	7	m.	m.	NOUN
ejpam-4882	258	8	alain	alain	PROPN
ejpam-4882	258	9	,	,	PUNCT
ejpam-4882	258	10	and	and	CCONJ
ejpam-4882	258	11	b.	b.	PROPN
ejpam-4882	258	12	francois	francois	PROPN
ejpam-4882	258	13	.	.	PUNCT
ejpam-4882	259	1	global	global	ADJ
ejpam-4882	259	2	and	and	CCONJ
ejpam-4882	259	3	regional	regional	ADJ
ejpam-4882	259	4	projected	project	VERB
ejpam-4882	259	5	changes	change	NOUN
ejpam-4882	259	6	in	in	ADP
ejpam-4882	259	7	100yr	100yr	PROPN
ejpam-4882	259	8	subdaily	subdaily	ADV
ejpam-4882	259	9	,	,	PUNCT
ejpam-4882	259	10	daily	daily	ADV
ejpam-4882	259	11	,	,	PUNCT
ejpam-4882	259	12	and	and	CCONJ
ejpam-4882	259	13	multiday	multiday	NOUN
ejpam-4882	259	14	precipitation	precipitation	NOUN
ejpam-4882	259	15	extremes	extreme	NOUN
ejpam-4882	259	16	estimated	estimate	VERB
ejpam-4882	259	17	from	from	ADP
ejpam-4882	259	18	three	three	NUM
ejpam-4882	259	19	large	large	ADJ
ejpam-4882	259	20	ensembles	ensemble	NOUN
ejpam-4882	259	21	of	of	ADP
ejpam-4882	259	22	climate	climate	NOUN
ejpam-4882	259	23	simulations	simulation	NOUN
ejpam-4882	259	24	.	.	PUNCT
ejpam-4882	260	1	journal	journal	NOUN
ejpam-4882	260	2	of	of	ADP
ejpam-4882	260	3	climate	climate	NOUN
ejpam-4882	260	4	,	,	PUNCT
ejpam-4882	260	5	33(3):1089–1103	33(3):1089–1103	NUM
ejpam-4882	260	6	,	,	PUNCT
ejpam-4882	260	7	2020	2020	NUM
ejpam-4882	260	8	.	.	PUNCT
ejpam-4882	261	1	[	[	X
ejpam-4882	261	2	13	13	NUM
ejpam-4882	261	3	]	]	PUNCT
ejpam-4882	261	4	m.	m.	NOUN
ejpam-4882	261	5	m.	m.	PROPN
ejpam-4882	261	6	q.	q.	PROPN
ejpam-4882	261	7	mirza	mirza	PROPN
ejpam-4882	261	8	.	.	PUNCT
ejpam-4882	262	1	global	global	ADJ
ejpam-4882	262	2	warming	warming	NOUN
ejpam-4882	262	3	and	and	CCONJ
ejpam-4882	262	4	changes	change	NOUN
ejpam-4882	262	5	in	in	ADP
ejpam-4882	262	6	the	the	DET
ejpam-4882	262	7	probability	probability	NOUN
ejpam-4882	262	8	of	of	ADP
ejpam-4882	262	9	occurrence	occurrence	NOUN
ejpam-4882	262	10	of	of	ADP
ejpam-4882	262	11	floods	flood	NOUN
ejpam-4882	262	12	in	in	ADP
ejpam-4882	262	13	bangladesh	bangladesh	NOUN
ejpam-4882	262	14	and	and	CCONJ
ejpam-4882	262	15	implications	implication	NOUN
ejpam-4882	262	16	.	.	PUNCT
ejpam-4882	263	1	global	global	ADJ
ejpam-4882	263	2	environmental	environmental	ADJ
ejpam-4882	263	3	change	change	NOUN
ejpam-4882	263	4	,	,	PUNCT
ejpam-4882	263	5	12:127–138	12:127–138	PROPN
ejpam-4882	263	6	,	,	PUNCT
ejpam-4882	263	7	2002	2002	NUM
ejpam-4882	263	8	.	.	PUNCT
ejpam-4882	264	1	[	[	X
ejpam-4882	264	2	14	14	NUM
ejpam-4882	264	3	]	]	X
ejpam-4882	264	4	s.	s.	PROPN
ejpam-4882	264	5	nadarajah	nadarajah	PROPN
ejpam-4882	264	6	and	and	CCONJ
ejpam-4882	264	7	i.	i.	PROPN
ejpam-4882	264	8	e.	e.	PROPN
ejpam-4882	264	9	okorie	okorie	PROPN
ejpam-4882	264	10	.	.	PUNCT
ejpam-4882	265	1	on	on	ADP
ejpam-4882	265	2	the	the	DET
ejpam-4882	265	3	moments	moment	NOUN
ejpam-4882	265	4	of	of	ADP
ejpam-4882	265	5	the	the	DET
ejpam-4882	265	6	alpha	alpha	NOUN
ejpam-4882	265	7	power	power	NOUN
ejpam-4882	265	8	transformed	transform	VERB
ejpam-4882	265	9	generalized	generalized	ADJ
ejpam-4882	265	10	exponential	exponential	ADJ
ejpam-4882	265	11	distribution	distribution	NOUN
ejpam-4882	265	12	.	.	PUNCT
ejpam-4882	266	1	ozone	ozone	NOUN
ejpam-4882	266	2	:	:	PUNCT
ejpam-4882	266	3	science	science	NOUN
ejpam-4882	266	4	and	and	CCONJ
ejpam-4882	266	5	engineering	engineering	NOUN
ejpam-4882	266	6	,	,	PUNCT
ejpam-4882	266	7	46:273–285	46:273–285	PROPN
ejpam-4882	266	8	,	,	PUNCT
ejpam-4882	266	9	2017	2017	NUM
ejpam-4882	266	10	.	.	PUNCT
ejpam-4882	267	1	[	[	X
ejpam-4882	267	2	15	15	NUM
ejpam-4882	267	3	]	]	X
ejpam-4882	267	4	m.	m.	NOUN
ejpam-4882	267	5	nassar	nassar	PROPN
ejpam-4882	267	6	,	,	PUNCT
ejpam-4882	267	7	a.	a.	NOUN
ejpam-4882	267	8	alzaatreh	alzaatreh	PROPN
ejpam-4882	267	9	,	,	PUNCT
ejpam-4882	267	10	m.	m.	NOUN
ejpam-4882	267	11	mead	mead	NOUN
ejpam-4882	267	12	,	,	PUNCT
ejpam-4882	267	13	and	and	CCONJ
ejpam-4882	267	14	o.	o.	PROPN
ejpam-4882	267	15	abo	abo	PROPN
ejpam-4882	267	16	-	-	PUNCT
ejpam-4882	267	17	kasem	kasem	NOUN
ejpam-4882	267	18	.	.	PUNCT
ejpam-4882	268	1	alpha	alpha	PROPN
ejpam-4882	268	2	power	power	PROPN
ejpam-4882	268	3	weibull	weibull	PROPN
ejpam-4882	268	4	distribution	distribution	NOUN
ejpam-4882	268	5	:	:	PUNCT
ejpam-4882	268	6	properties	property	NOUN
ejpam-4882	268	7	and	and	CCONJ
ejpam-4882	268	8	applications	application	NOUN
ejpam-4882	268	9	.	.	PUNCT
ejpam-4882	269	1	communications	communication	NOUN
ejpam-4882	269	2	in	in	ADP
ejpam-4882	269	3	statistics	statistic	NOUN
ejpam-4882	269	4	theory	theory	NOUN
ejpam-4882	269	5	and	and	CCONJ
ejpam-4882	269	6	methods	method	NOUN
ejpam-4882	269	7	,	,	PUNCT
ejpam-4882	269	8	46(20):10236–10252	46(20):10236–10252	NUM
ejpam-4882	269	9	,	,	PUNCT
ejpam-4882	269	10	2017	2017	NUM
ejpam-4882	269	11	.	.	PUNCT
ejpam-4882	270	1	references	reference	NOUN
ejpam-4882	270	2	2475	2475	NUM
ejpam-4882	271	1	[	[	X
ejpam-4882	271	2	16	16	NUM
ejpam-4882	271	3	]	]	X
ejpam-4882	271	4	f.	f.	PROPN
ejpam-4882	271	5	c.	c.	PROPN
ejpam-4882	271	6	onwuegbuche	onwuegbuche	PROPN
ejpam-4882	271	7	,	,	PUNCT
ejpam-4882	271	8	a.	a.	PROPN
ejpam-4882	271	9	b.	b.	PROPN
ejpam-4882	271	10	kenyatta	kenyatta	PROPN
ejpam-4882	271	11	,	,	PUNCT
ejpam-4882	271	12	s.	s.	PROPN
ejpam-4882	271	13	b.	b.	PROPN
ejpam-4882	271	14	affognon	affognon	PROPN
ejpam-4882	271	15	,	,	PUNCT
ejpam-4882	271	16	e.	e.	PROPN
ejpam-4882	271	17	p.	p.	PROPN
ejpam-4882	271	18	enock	enock	NOUN
ejpam-4882	271	19	,	,	PUNCT
ejpam-4882	271	20	and	and	CCONJ
ejpam-4882	271	21	m.	m.	NOUN
ejpam-4882	271	22	o.	o.	PROPN
ejpam-4882	271	23	akinade	akinade	PROPN
ejpam-4882	271	24	.	.	PUNCT
ejpam-4882	272	1	application	application	NOUN
ejpam-4882	272	2	of	of	ADP
ejpam-4882	272	3	extreme	extreme	ADJ
ejpam-4882	272	4	value	value	NOUN
ejpam-4882	272	5	theory	theory	NOUN
ejpam-4882	272	6	in	in	ADP
ejpam-4882	272	7	predicting	predict	VERB
ejpam-4882	272	8	climate	climate	NOUN
ejpam-4882	272	9	change	change	NOUN
ejpam-4882	272	10	induced	induce	VERB
ejpam-4882	272	11	extreme	extreme	ADJ
ejpam-4882	272	12	rainfall	rainfall	NOUN
ejpam-4882	272	13	in	in	ADP
ejpam-4882	272	14	kenya	kenya	PROPN
ejpam-4882	272	15	.	.	PUNCT
ejpam-4882	273	1	international	international	ADJ
ejpam-4882	273	2	journal	journal	PROPN
ejpam-4882	273	3	of	of	ADP
ejpam-4882	273	4	probability	probability	NOUN
ejpam-4882	273	5	and	and	CCONJ
ejpam-4882	273	6	statistics	statistic	NOUN
ejpam-4882	273	7	,	,	PUNCT
ejpam-4882	273	8	8(4):85–94	8(4):85–94	NUM
ejpam-4882	273	9	,	,	PUNCT
ejpam-4882	273	10	2019	2019	NUM
ejpam-4882	273	11	.	.	PUNCT
ejpam-4882	274	1	[	[	X
ejpam-4882	274	2	17	17	NUM
ejpam-4882	274	3	]	]	PUNCT
ejpam-4882	274	4	m.	m.	NOUN
ejpam-4882	274	5	shrahili	shrahili	PROPN
ejpam-4882	274	6	,	,	PUNCT
ejpam-4882	274	7	a.	a.	PROPN
ejpam-4882	274	8	s.	s.	PROPN
ejpam-4882	274	9	hassan	hassan	PROPN
ejpam-4882	274	10	,	,	PUNCT
ejpam-4882	274	11	e.	e.	PROPN
ejpam-4882	274	12	m.	m.	PROPN
ejpam-4882	274	13	almetwally	almetwally	ADV
ejpam-4882	274	14	,	,	PUNCT
ejpam-4882	274	15	a.	a.	PROPN
ejpam-4882	274	16	b.	b.	PROPN
ejpam-4882	274	17	ghorbal	ghorbal	PROPN
ejpam-4882	274	18	,	,	PUNCT
ejpam-4882	274	19	and	and	CCONJ
ejpam-4882	274	20	i.	i.	PROPN
ejpam-4882	274	21	elbatal	elbatal	PROPN
ejpam-4882	274	22	.	.	PUNCT
ejpam-4882	275	1	alpha	alpha	PROPN
ejpam-4882	275	2	power	power	PROPN
ejpam-4882	275	3	moment	moment	NOUN
ejpam-4882	275	4	exponential	exponential	NOUN
ejpam-4882	275	5	model	model	NOUN
ejpam-4882	275	6	with	with	ADP
ejpam-4882	275	7	applications	application	NOUN
ejpam-4882	275	8	to	to	ADP
ejpam-4882	275	9	biomedical	biomedical	ADJ
ejpam-4882	275	10	science	science	NOUN
ejpam-4882	275	11	.	.	PUNCT
ejpam-4882	276	1	scientific	scientific	ADJ
ejpam-4882	276	2	programming	programming	NOUN
ejpam-4882	276	3	,	,	PUNCT
ejpam-4882	276	4	2022	2022	NUM
ejpam-4882	276	5	.	.	PUNCT
ejpam-4882	277	1	[	[	X
ejpam-4882	277	2	18	18	NUM
ejpam-4882	277	3	]	]	X
ejpam-4882	277	4	s.	s.	PROPN
ejpam-4882	277	5	b.	b.	PROPN
ejpam-4882	277	6	sunday	sunday	PROPN
ejpam-4882	277	7	,	,	PUNCT
ejpam-4882	277	8	n.	n.	PROPN
ejpam-4882	277	9	s.	s.	PROPN
ejpam-4882	277	10	agog	agog	PROPN
ejpam-4882	277	11	,	,	PUNCT
ejpam-4882	277	12	p.	p.	PROPN
ejpam-4882	277	13	magdalene	magdalene	PROPN
ejpam-4882	277	14	,	,	PUNCT
ejpam-4882	277	15	m.	m.	NOUN
ejpam-4882	277	16	abdullateef	abdullateef	PROPN
ejpam-4882	277	17	,	,	PUNCT
ejpam-4882	277	18	and	and	CCONJ
ejpam-4882	277	19	k.	k.	PROPN
ejpam-4882	277	20	a.	a.	PROPN
ejpam-4882	277	21	gladys	gladys	PROPN
ejpam-4882	277	22	.	.	PUNCT
ejpam-4882	278	1	modeling	model	VERB
ejpam-4882	278	2	extreme	extreme	ADJ
ejpam-4882	278	3	rainfall	rainfall	NOUN
ejpam-4882	278	4	in	in	ADP
ejpam-4882	278	5	kaduna	kaduna	PROPN
ejpam-4882	278	6	using	use	VERB
ejpam-4882	278	7	the	the	DET
ejpam-4882	278	8	generalised	generalise	VERB
ejpam-4882	278	9	extreme	extreme	ADJ
ejpam-4882	278	10	value	value	NOUN
ejpam-4882	278	11	distribution	distribution	NOUN
ejpam-4882	278	12	.	.	PUNCT
ejpam-4882	279	1	scientific	scientific	ADJ
ejpam-4882	279	2	world	world	NOUN
ejpam-4882	279	3	journal	journal	NOUN
ejpam-4882	279	4	,	,	PUNCT
ejpam-4882	279	5	15(3):73–77	15(3):73–77	NUM
ejpam-4882	279	6	,	,	PUNCT
ejpam-4882	279	7	2020	2020	NUM
ejpam-4882	279	8	.	.	PUNCT
ejpam-4882	280	1	[	[	X
ejpam-4882	280	2	19	19	NUM
ejpam-4882	280	3	]	]	X
ejpam-4882	280	4	c.	c.	PROPN
ejpam-4882	280	5	s.	s.	PROPN
ejpam-4882	280	6	withers	withers	PROPN
ejpam-4882	280	7	and	and	CCONJ
ejpam-4882	280	8	s.	s.	PROPN
ejpam-4882	280	9	nadarajah	nadarajah	PROPN
ejpam-4882	280	10	.	.	PUNCT
ejpam-4882	281	1	evidence	evidence	NOUN
ejpam-4882	281	2	of	of	ADP
ejpam-4882	281	3	trend	trend	NOUN
ejpam-4882	281	4	in	in	ADP
ejpam-4882	281	5	return	return	NOUN
ejpam-4882	281	6	levels	level	NOUN
ejpam-4882	281	7	for	for	ADP
ejpam-4882	281	8	daily	daily	ADJ
ejpam-4882	281	9	rainfall	rainfall	NOUN
ejpam-4882	281	10	in	in	ADP
ejpam-4882	281	11	new	new	PROPN
ejpam-4882	281	12	zealand	zealand	PROPN
ejpam-4882	281	13	.	.	PUNCT
ejpam-4882	282	1	journal	journal	PROPN
ejpam-4882	282	2	of	of	ADP
ejpam-4882	282	3	hydrology	hydrology	NOUN
ejpam-4882	282	4	(	(	PUNCT
ejpam-4882	282	5	new	new	PROPN
ejpam-4882	282	6	zealand	zealand	PROPN
ejpam-4882	282	7	)	)	PUNCT
ejpam-4882	282	8	,	,	PUNCT
ejpam-4882	282	9	39:155–166	39:155–166	PROPN
ejpam-4882	282	10	,	,	PUNCT
ejpam-4882	282	11	2000	2000	NUM
ejpam-4882	282	12	.	.	PUNCT