id	sid	tid	token	lemma	pos
ejpam-6653	1	1	european	european	PROPN
ejpam-6653	1	2	journal	journal	PROPN
ejpam-6653	1	3	of	of	ADP
ejpam-6653	1	4	pure	pure	ADJ
ejpam-6653	1	5	and	and	CCONJ
ejpam-6653	1	6	applied	applied	ADJ
ejpam-6653	1	7	mathematics	mathematic	NOUN
ejpam-6653	1	8	2025	2025	NUM
ejpam-6653	1	9	,	,	PUNCT
ejpam-6653	1	10	vol	vol	NOUN
ejpam-6653	1	11	.	.	PROPN
ejpam-6653	1	12	18	18	NUM
ejpam-6653	1	13	,	,	PUNCT
ejpam-6653	1	14	issue	issue	NOUN
ejpam-6653	1	15	4	4	NUM
ejpam-6653	1	16	,	,	PUNCT
ejpam-6653	1	17	article	article	NOUN
ejpam-6653	1	18	number	number	NOUN
ejpam-6653	1	19	6653	6653	NUM
ejpam-6653	1	20	issn	issn	PROPN
ejpam-6653	1	21	1307	1307	NUM
ejpam-6653	1	22	-	-	SYM
ejpam-6653	1	23	5543	5543	NUM
ejpam-6653	1	24	–	–	PUNCT
ejpam-6653	1	25	ejpam.com	ejpam.com	X
ejpam-6653	1	26	published	publish	VERB
ejpam-6653	1	27	by	by	ADP
ejpam-6653	1	28	new	new	PROPN
ejpam-6653	1	29	york	york	PROPN
ejpam-6653	1	30	business	business	PROPN
ejpam-6653	1	31	global	global	PROPN
ejpam-6653	1	32	the	the	DET
ejpam-6653	1	33	mgamma	mgamma	PROPN
ejpam-6653	1	34	distribution	distribution	NOUN
ejpam-6653	1	35	:	:	PUNCT
ejpam-6653	1	36	statistical	statistical	ADJ
ejpam-6653	1	37	properties	property	NOUN
ejpam-6653	1	38	and	and	CCONJ
ejpam-6653	1	39	application	application	NOUN
ejpam-6653	1	40	to	to	ADP
ejpam-6653	1	41	real	real	ADJ
ejpam-6653	1	42	-	-	PUNCT
ejpam-6653	1	43	life	life	NOUN
ejpam-6653	1	44	data	datum	NOUN
ejpam-6653	1	45	m.	m.	NOUN
ejpam-6653	1	46	i.	i.	PROPN
ejpam-6653	1	47	khan1	khan1	PROPN
ejpam-6653	1	48	,	,	PUNCT
ejpam-6653	1	49	molay	molay	PROPN
ejpam-6653	1	50	kumar	kumar	PROPN
ejpam-6653	1	51	ruidas2,∗	ruidas2,∗	PROPN
ejpam-6653	1	52	1	1	NUM
ejpam-6653	1	53	department	department	NOUN
ejpam-6653	1	54	of	of	ADP
ejpam-6653	1	55	mathematics	mathematic	NOUN
ejpam-6653	1	56	,	,	PUNCT
ejpam-6653	1	57	islamic	islamic	PROPN
ejpam-6653	1	58	university	university	PROPN
ejpam-6653	1	59	of	of	ADP
ejpam-6653	1	60	madinah	madinah	PROPN
ejpam-6653	1	61	,	,	PUNCT
ejpam-6653	1	62	madinah	madinah	PROPN
ejpam-6653	1	63	,	,	PUNCT
ejpam-6653	1	64	kingdom	kingdom	NOUN
ejpam-6653	1	65	of	of	ADP
ejpam-6653	1	66	saudi	saudi	PROPN
ejpam-6653	1	67	arabia	arabia	PROPN
ejpam-6653	1	68	,	,	PUNCT
ejpam-6653	1	69	42351	42351	NUM
ejpam-6653	1	70	2	2	NUM
ejpam-6653	1	71	department	department	NOUN
ejpam-6653	1	72	of	of	ADP
ejpam-6653	1	73	statistics	statistic	NOUN
ejpam-6653	1	74	,	,	PUNCT
ejpam-6653	1	75	trivenidevi	trivenidevi	PROPN
ejpam-6653	1	76	bhalotia	bhalotia	PROPN
ejpam-6653	1	77	college	college	PROPN
ejpam-6653	1	78	,	,	PUNCT
ejpam-6653	1	79	kazi	kazi	PROPN
ejpam-6653	1	80	nazrul	nazrul	PROPN
ejpam-6653	1	81	university	university	PROPN
ejpam-6653	1	82	,	,	PUNCT
ejpam-6653	1	83	raniganj	raniganj	NOUN
ejpam-6653	1	84	,	,	PUNCT
ejpam-6653	1	85	west	west	PROPN
ejpam-6653	1	86	bengal	bengal	PROPN
ejpam-6653	1	87	,	,	PUNCT
ejpam-6653	1	88	india	india	PROPN
ejpam-6653	1	89	,	,	PUNCT
ejpam-6653	1	90	713347	713347	NUM
ejpam-6653	1	91	abstract	abstract	NOUN
ejpam-6653	1	92	.	.	PUNCT
ejpam-6653	2	1	we	we	PRON
ejpam-6653	2	2	propose	propose	VERB
ejpam-6653	2	3	a	a	DET
ejpam-6653	2	4	new	new	ADJ
ejpam-6653	2	5	one	one	NUM
ejpam-6653	2	6	-	-	PUNCT
ejpam-6653	2	7	parameter	parameter	NOUN
ejpam-6653	2	8	continuous	continuous	ADJ
ejpam-6653	2	9	distribution	distribution	NOUN
ejpam-6653	2	10	,	,	PUNCT
ejpam-6653	2	11	termed	term	VERB
ejpam-6653	2	12	the	the	DET
ejpam-6653	2	13	mgamma	mgamma	PROPN
ejpam-6653	2	14	distribution	distribution	NOUN
ejpam-6653	2	15	,	,	PUNCT
ejpam-6653	2	16	obtained	obtain	VERB
ejpam-6653	2	17	as	as	ADP
ejpam-6653	2	18	a	a	DET
ejpam-6653	2	19	finite	finite	ADJ
ejpam-6653	2	20	mixture	mixture	NOUN
ejpam-6653	2	21	of	of	ADP
ejpam-6653	2	22	two	two	NUM
ejpam-6653	2	23	gamma	gamma	NOUN
ejpam-6653	2	24	components	component	NOUN
ejpam-6653	2	25	having	have	VERB
ejpam-6653	2	26	different	different	ADJ
ejpam-6653	2	27	shapes	shape	NOUN
ejpam-6653	2	28	.	.	PUNCT
ejpam-6653	3	1	key	key	ADJ
ejpam-6653	3	2	statistical	statistical	ADJ
ejpam-6653	3	3	properties	property	NOUN
ejpam-6653	3	4	are	be	AUX
ejpam-6653	3	5	derived	derive	VERB
ejpam-6653	3	6	,	,	PUNCT
ejpam-6653	3	7	including	include	VERB
ejpam-6653	3	8	moments	moment	NOUN
ejpam-6653	3	9	,	,	PUNCT
ejpam-6653	3	10	generating	generating	NOUN
ejpam-6653	3	11	functions	function	NOUN
ejpam-6653	3	12	,	,	PUNCT
ejpam-6653	3	13	stochastic	stochastic	ADJ
ejpam-6653	3	14	ordering	ordering	NOUN
ejpam-6653	3	15	,	,	PUNCT
ejpam-6653	3	16	and	and	CCONJ
ejpam-6653	3	17	reliability	reliability	NOUN
ejpam-6653	3	18	measures	measure	NOUN
ejpam-6653	3	19	such	such	ADJ
ejpam-6653	3	20	as	as	ADP
ejpam-6653	3	21	hazard	hazard	NOUN
ejpam-6653	3	22	rate	rate	NOUN
ejpam-6653	3	23	and	and	CCONJ
ejpam-6653	3	24	mean	mean	VERB
ejpam-6653	3	25	residual	residual	ADJ
ejpam-6653	3	26	life	life	NOUN
ejpam-6653	3	27	.	.	PUNCT
ejpam-6653	4	1	parameter	parameter	PROPN
ejpam-6653	4	2	estimation	estimation	NOUN
ejpam-6653	4	3	is	be	AUX
ejpam-6653	4	4	addressed	address	VERB
ejpam-6653	4	5	using	use	VERB
ejpam-6653	4	6	the	the	DET
ejpam-6653	4	7	method	method	NOUN
ejpam-6653	4	8	of	of	ADP
ejpam-6653	4	9	moments	moment	NOUN
ejpam-6653	4	10	and	and	CCONJ
ejpam-6653	4	11	maximum	maximum	ADJ
ejpam-6653	4	12	likelihood	likelihood	NOUN
ejpam-6653	4	13	,	,	PUNCT
ejpam-6653	4	14	with	with	ADP
ejpam-6653	4	15	simulation	simulation	NOUN
ejpam-6653	4	16	studies	study	NOUN
ejpam-6653	4	17	confirming	confirm	VERB
ejpam-6653	4	18	the	the	DET
ejpam-6653	4	19	consistency	consistency	NOUN
ejpam-6653	4	20	and	and	CCONJ
ejpam-6653	4	21	efficiency	efficiency	NOUN
ejpam-6653	4	22	of	of	ADP
ejpam-6653	4	23	estimators	estimator	NOUN
ejpam-6653	4	24	.	.	PUNCT
ejpam-6653	5	1	the	the	DET
ejpam-6653	5	2	applicability	applicability	NOUN
ejpam-6653	5	3	of	of	ADP
ejpam-6653	5	4	the	the	DET
ejpam-6653	5	5	mgamma	mgamma	PROPN
ejpam-6653	5	6	distribution	distribution	NOUN
ejpam-6653	5	7	is	be	AUX
ejpam-6653	5	8	demonstrated	demonstrate	VERB
ejpam-6653	5	9	on	on	ADP
ejpam-6653	5	10	four	four	NUM
ejpam-6653	5	11	real	real	ADJ
ejpam-6653	5	12	datasets	dataset	NOUN
ejpam-6653	5	13	from	from	ADP
ejpam-6653	5	14	engineering	engineering	NOUN
ejpam-6653	5	15	,	,	PUNCT
ejpam-6653	5	16	hydrology	hydrology	NOUN
ejpam-6653	5	17	,	,	PUNCT
ejpam-6653	5	18	medicine	medicine	NOUN
ejpam-6653	5	19	,	,	PUNCT
ejpam-6653	5	20	and	and	CCONJ
ejpam-6653	5	21	queueing	queue	VERB
ejpam-6653	5	22	systems	system	NOUN
ejpam-6653	5	23	.	.	PUNCT
ejpam-6653	6	1	model	model	NOUN
ejpam-6653	6	2	selection	selection	NOUN
ejpam-6653	6	3	criteria	criterion	NOUN
ejpam-6653	6	4	(	(	PUNCT
ejpam-6653	6	5	aic	aic	PROPN
ejpam-6653	6	6	,	,	PUNCT
ejpam-6653	6	7	bic	bic	PROPN
ejpam-6653	6	8	,	,	PUNCT
ejpam-6653	6	9	caic	caic	PROPN
ejpam-6653	6	10	)	)	PUNCT
ejpam-6653	6	11	and	and	CCONJ
ejpam-6653	6	12	goodness	goodness	NOUN
ejpam-6653	6	13	-	-	PUNCT
ejpam-6653	6	14	of	of	ADP
ejpam-6653	6	15	-	-	PUNCT
ejpam-6653	6	16	fit	fit	ADJ
ejpam-6653	6	17	tests	test	NOUN
ejpam-6653	6	18	(	(	PUNCT
ejpam-6653	6	19	ks	ks	NOUN
ejpam-6653	6	20	,	,	PUNCT
ejpam-6653	6	21	cramér	cramér	PROPN
ejpam-6653	6	22	–	–	PUNCT
ejpam-6653	6	23	von	von	PROPN
ejpam-6653	6	24	mises	mises	PROPN
ejpam-6653	6	25	,	,	PUNCT
ejpam-6653	6	26	anderson	anderson	PROPN
ejpam-6653	6	27	–	–	PUNCT
ejpam-6653	6	28	darling	darling	NOUN
ejpam-6653	6	29	)	)	PUNCT
ejpam-6653	6	30	consistently	consistently	ADV
ejpam-6653	6	31	show	show	VERB
ejpam-6653	6	32	that	that	SCONJ
ejpam-6653	6	33	mgamma	mgamma	PROPN
ejpam-6653	6	34	provides	provide	VERB
ejpam-6653	6	35	a	a	DET
ejpam-6653	6	36	superior	superior	ADJ
ejpam-6653	6	37	fit	fit	NOUN
ejpam-6653	6	38	compared	compare	VERB
ejpam-6653	6	39	to	to	ADP
ejpam-6653	6	40	classical	classical	ADJ
ejpam-6653	6	41	models	model	NOUN
ejpam-6653	6	42	such	such	ADJ
ejpam-6653	6	43	as	as	ADP
ejpam-6653	6	44	exponential	exponential	NOUN
ejpam-6653	6	45	,	,	PUNCT
ejpam-6653	6	46	lindley	lindley	NOUN
ejpam-6653	6	47	,	,	PUNCT
ejpam-6653	6	48	xgamma	xgamma	PROPN
ejpam-6653	6	49	,	,	PUNCT
ejpam-6653	6	50	shanker	shanker	NOUN
ejpam-6653	6	51	,	,	PUNCT
ejpam-6653	6	52	and	and	CCONJ
ejpam-6653	6	53	akash	akash	NOUN
ejpam-6653	6	54	distributions	distribution	NOUN
ejpam-6653	6	55	.	.	PUNCT
ejpam-6653	7	1	these	these	DET
ejpam-6653	7	2	findings	finding	NOUN
ejpam-6653	7	3	establish	establish	VERB
ejpam-6653	7	4	mgamma	mgamma	PROPN
ejpam-6653	7	5	as	as	ADP
ejpam-6653	7	6	a	a	DET
ejpam-6653	7	7	flexible	flexible	ADJ
ejpam-6653	7	8	and	and	CCONJ
ejpam-6653	7	9	robust	robust	ADJ
ejpam-6653	7	10	alternative	alternative	NOUN
ejpam-6653	7	11	for	for	ADP
ejpam-6653	7	12	modeling	model	VERB
ejpam-6653	7	13	skewed	skewed	ADJ
ejpam-6653	7	14	and	and	CCONJ
ejpam-6653	7	15	heavy	heavy	ADV
ejpam-6653	7	16	-	-	PUNCT
ejpam-6653	7	17	tailed	tail	VERB
ejpam-6653	7	18	lifetime	lifetime	NOUN
ejpam-6653	7	19	data	datum	NOUN
ejpam-6653	7	20	.	.	PUNCT
ejpam-6653	8	1	2020	2020	NUM
ejpam-6653	8	2	mathematics	mathematics	PROPN
ejpam-6653	8	3	subject	subject	NOUN
ejpam-6653	8	4	classifications	classification	NOUN
ejpam-6653	8	5	:	:	PUNCT
ejpam-6653	8	6	60e05	60e05	NUM
ejpam-6653	8	7	,	,	PUNCT
ejpam-6653	8	8	62e99	62e99	DET
ejpam-6653	8	9	key	key	ADJ
ejpam-6653	8	10	words	word	NOUN
ejpam-6653	8	11	and	and	CCONJ
ejpam-6653	8	12	phrases	phrase	NOUN
ejpam-6653	8	13	:	:	PUNCT
ejpam-6653	8	14	finite	finite	PROPN
ejpam-6653	8	15	mixture	mixture	NOUN
ejpam-6653	8	16	,	,	PUNCT
ejpam-6653	8	17	gamma	gamma	NOUN
ejpam-6653	8	18	distribution	distribution	NOUN
ejpam-6653	8	19	,	,	PUNCT
ejpam-6653	8	20	maximum	maximum	ADJ
ejpam-6653	8	21	likelihood	likelihood	NOUN
ejpam-6653	8	22	estimation	estimation	NOUN
ejpam-6653	8	23	,	,	PUNCT
ejpam-6653	8	24	survival	survival	NOUN
ejpam-6653	8	25	properties	property	NOUN
ejpam-6653	8	26	,	,	PUNCT
ejpam-6653	8	27	stochastic	stochastic	NOUN
ejpam-6653	8	28	ordering	order	VERB
ejpam-6653	8	29	1	1	NUM
ejpam-6653	8	30	.	.	PUNCT
ejpam-6653	9	1	introduction	introduction	NOUN
ejpam-6653	9	2	in	in	ADP
ejpam-6653	9	3	recent	recent	ADJ
ejpam-6653	9	4	years	year	NOUN
ejpam-6653	10	1	,	,	PUNCT
ejpam-6653	10	2	research	research	NOUN
ejpam-6653	10	3	has	have	AUX
ejpam-6653	10	4	focused	focus	VERB
ejpam-6653	10	5	on	on	ADP
ejpam-6653	10	6	developing	develop	VERB
ejpam-6653	10	7	continuous	continuous	ADJ
ejpam-6653	10	8	distributions	distribution	NOUN
ejpam-6653	10	9	that	that	PRON
ejpam-6653	10	10	are	be	AUX
ejpam-6653	10	11	more	more	ADV
ejpam-6653	10	12	flexible	flexible	ADJ
ejpam-6653	10	13	in	in	ADP
ejpam-6653	10	14	fitting	fitting	ADJ
ejpam-6653	10	15	real	real	ADJ
ejpam-6653	10	16	lifetime	lifetime	NOUN
ejpam-6653	10	17	data	datum	NOUN
ejpam-6653	10	18	sets	set	NOUN
ejpam-6653	10	19	.	.	PUNCT
ejpam-6653	11	1	some	some	DET
ejpam-6653	11	2	distributions	distribution	NOUN
ejpam-6653	11	3	that	that	PRON
ejpam-6653	11	4	are	be	AUX
ejpam-6653	11	5	finite	finite	ADJ
ejpam-6653	11	6	mixtures	mixture	NOUN
ejpam-6653	11	7	of	of	ADP
ejpam-6653	11	8	gamma	gamma	NOUN
ejpam-6653	11	9	distributions	distribution	NOUN
ejpam-6653	11	10	introduced	introduce	VERB
ejpam-6653	11	11	by	by	ADP
ejpam-6653	11	12	geoffrey	geoffrey	PROPN
ejpam-6653	11	13	et	et	PROPN
ejpam-6653	11	14	al	al	PROPN
ejpam-6653	11	15	.	.	PROPN
ejpam-6653	12	1	(	(	PUNCT
ejpam-6653	12	2	1988	1988	NUM
ejpam-6653	12	3	)	)	PUNCT
ejpam-6653	13	1	[	[	X
ejpam-6653	13	2	1	1	NUM
ejpam-6653	13	3	]	]	PUNCT
ejpam-6653	13	4	,	,	PUNCT
ejpam-6653	13	5	mixture	mixture	NOUN
ejpam-6653	13	6	of	of	ADP
ejpam-6653	13	7	exponential	exponential	NOUN
ejpam-6653	13	8	and	and	CCONJ
ejpam-6653	13	9	gamma	gamma	NOUN
ejpam-6653	13	10	distributions	distribution	NOUN
ejpam-6653	13	11	introduced	introduce	VERB
ejpam-6653	13	12	by	by	ADP
ejpam-6653	13	13	ghitany	ghitany	PROPN
ejpam-6653	13	14	et	et	PROPN
ejpam-6653	13	15	al	al	PROPN
ejpam-6653	13	16	.	.	PROPN
ejpam-6653	14	1	(	(	PUNCT
ejpam-6653	14	2	2008	2008	NUM
ejpam-6653	14	3	)	)	PUNCT
ejpam-6653	15	1	[	[	X
ejpam-6653	15	2	2	2	X
ejpam-6653	15	3	]	]	PUNCT
ejpam-6653	15	4	and	and	CCONJ
ejpam-6653	15	5	maiti	maiti	PROPN
ejpam-6653	15	6	et	et	PROPN
ejpam-6653	15	7	al	al	PROPN
ejpam-6653	15	8	.	.	PROPN
ejpam-6653	15	9	(	(	PUNCT
ejpam-6653	15	10	2024	2024	NUM
ejpam-6653	15	11	)	)	PUNCT
ejpam-6653	16	1	[	[	X
ejpam-6653	16	2	3	3	X
ejpam-6653	16	3	]	]	PUNCT
ejpam-6653	16	4	used	use	VERB
ejpam-6653	16	5	to	to	PART
ejpam-6653	16	6	model	model	VERB
ejpam-6653	16	7	lifetime	lifetime	NOUN
ejpam-6653	16	8	data	datum	NOUN
ejpam-6653	16	9	.	.	PUNCT
ejpam-6653	17	1	recently	recently	ADV
ejpam-6653	17	2	,	,	PUNCT
ejpam-6653	17	3	sen	sen	PROPN
ejpam-6653	17	4	et	et	PROPN
ejpam-6653	17	5	al	al	PROPN
ejpam-6653	17	6	.	.	PUNCT
ejpam-6653	18	1	(	(	PUNCT
ejpam-6653	18	2	2016	2016	NUM
ejpam-6653	18	3	)	)	PUNCT
ejpam-6653	19	1	[	[	X
ejpam-6653	19	2	4	4	X
ejpam-6653	19	3	]	]	PUNCT
ejpam-6653	19	4	introduced	introduce	VERB
ejpam-6653	19	5	xgamma	xgamma	PROPN
ejpam-6653	19	6	,	,	PUNCT
ejpam-6653	19	7	the	the	DET
ejpam-6653	19	8	lindley	lindley	NOUN
ejpam-6653	19	9	distribution	distribution	NOUN
ejpam-6653	19	10	by	by	ADP
ejpam-6653	19	11	dv	dv	PROPN
ejpam-6653	19	12	lindley	lindley	PROPN
ejpam-6653	19	13	(	(	PUNCT
ejpam-6653	19	14	1958	1958	NUM
ejpam-6653	19	15	)	)	PUNCT
ejpam-6653	20	1	[	[	X
ejpam-6653	20	2	5	5	NUM
ejpam-6653	20	3	]	]	PUNCT
ejpam-6653	20	4	,	,	PUNCT
ejpam-6653	20	5	shanker	shanker	NOUN
ejpam-6653	20	6	(	(	PUNCT
ejpam-6653	20	7	2015	2015	NUM
ejpam-6653	20	8	)	)	PUNCT
ejpam-6653	21	1	[	[	X
ejpam-6653	21	2	6	6	NUM
ejpam-6653	21	3	]	]	PUNCT
ejpam-6653	21	4	introduced	introduce	VERB
ejpam-6653	21	5	the	the	DET
ejpam-6653	21	6	shanker	shanker	NOUN
ejpam-6653	21	7	distribution	distribution	NOUN
ejpam-6653	21	8	,	,	PUNCT
ejpam-6653	21	9	gamma	gamma	NOUN
ejpam-6653	21	10	-	-	PUNCT
ejpam-6653	21	11	lindley	lindley	NOUN
ejpam-6653	21	12	(	(	PUNCT
ejpam-6653	21	13	zeghdoudi	zeghdoudi	NOUN
ejpam-6653	21	14	and	and	CCONJ
ejpam-6653	21	15	nedjar	nedjar	PROPN
ejpam-6653	21	16	,	,	PUNCT
ejpam-6653	21	17	(	(	PUNCT
ejpam-6653	21	18	2016	2016	NUM
ejpam-6653	21	19	)	)	PUNCT
ejpam-6653	22	1	[	[	X
ejpam-6653	22	2	7	7	NUM
ejpam-6653	22	3	]	]	PUNCT
ejpam-6653	22	4	)	)	PUNCT
ejpam-6653	22	5	and	and	CCONJ
ejpam-6653	22	6	several	several	ADJ
ejpam-6653	22	7	other	other	ADJ
ejpam-6653	22	8	mixture	mixture	NOUN
ejpam-6653	22	9	distributions	distribution	NOUN
ejpam-6653	22	10	are	be	AUX
ejpam-6653	22	11	derived	derive	VERB
ejpam-6653	22	12	using	use	VERB
ejpam-6653	22	13	the	the	DET
ejpam-6653	22	14	literature	literature	NOUN
ejpam-6653	22	15	of	of	ADP
ejpam-6653	22	16	johnson	johnson	PROPN
ejpam-6653	22	17	,	,	PUNCT
ejpam-6653	22	18	kotz	kotz	PROPN
ejpam-6653	22	19	and	and	CCONJ
ejpam-6653	22	20	balakrishnan	balakrishnan	PROPN
ejpam-6653	22	21	∗corresponding	∗corresponde	VERB
ejpam-6653	22	22	author	author	NOUN
ejpam-6653	22	23	.	.	PUNCT
ejpam-6653	23	1	doi	doi	NOUN
ejpam-6653	23	2	:	:	PUNCT
ejpam-6653	23	3	https://doi.org/10.29020/nybg.ejpam.v18i4.6653	https://doi.org/10.29020/nybg.ejpam.v18i4.6653	NUM
ejpam-6653	23	4	email	email	NOUN
ejpam-6653	23	5	addresses	address	VERB
ejpam-6653	23	6	:	:	PUNCT
ejpam-6653	24	1	khanizhar@iu.edu.sa	khanizhar@iu.edu.sa	PROPN
ejpam-6653	24	2	(	(	PUNCT
ejpam-6653	24	3	m.	m.	PROPN
ejpam-6653	24	4	i.	i.	PROPN
ejpam-6653	24	5	khan	khan	PROPN
ejpam-6653	24	6	)	)	PUNCT
ejpam-6653	24	7	,	,	PUNCT
ejpam-6653	24	8	molayruidas@gmail.com	molayruidas@gmail.com	X
ejpam-6653	24	9	(	(	PUNCT
ejpam-6653	24	10	m.	m.	PROPN
ejpam-6653	24	11	k.	k.	PROPN
ejpam-6653	24	12	ruidas	ruidas	PROPN
ejpam-6653	24	13	)	)	PUNCT
ejpam-6653	24	14	https://www.ejpam.com	https://www.ejpam.com	NOUN
ejpam-6653	24	15	1	1	NUM
ejpam-6653	24	16	copyright	copyright	NOUN
ejpam-6653	24	17	:	:	PUNCT
ejpam-6653	24	18	©	©	PROPN
ejpam-6653	24	19	2025	2025	NUM
ejpam-6653	24	20	the	the	DET
ejpam-6653	24	21	author(s	author(s	NOUN
ejpam-6653	24	22	)	)	PUNCT
ejpam-6653	24	23	.	.	PUNCT
ejpam-6653	25	1	(	(	PUNCT
ejpam-6653	25	2	cc	cc	NOUN
ejpam-6653	25	3	by	by	ADP
ejpam-6653	25	4	-	-	PUNCT
ejpam-6653	25	5	nc	nc	PROPN
ejpam-6653	25	6	4.0	4.0	NUM
ejpam-6653	25	7	)	)	PUNCT
ejpam-6653	25	8	m.	m.	NOUN
ejpam-6653	25	9	i.	i.	PROPN
ejpam-6653	25	10	khan	khan	PROPN
ejpam-6653	25	11	,	,	PUNCT
ejpam-6653	25	12	m.	m.	PROPN
ejpam-6653	25	13	k.	k.	PROPN
ejpam-6653	25	14	ruidas	ruidas	PROPN
ejpam-6653	25	15	/	/	SYM
ejpam-6653	25	16	eur	eur	PROPN
ejpam-6653	25	17	.	.	PUNCT
ejpam-6653	26	1	j.	j.	PROPN
ejpam-6653	26	2	pure	pure	PROPN
ejpam-6653	26	3	appl	appl	PROPN
ejpam-6653	26	4	.	.	PROPN
ejpam-6653	26	5	math	math	PROPN
ejpam-6653	26	6	,	,	PUNCT
ejpam-6653	26	7	18	18	NUM
ejpam-6653	26	8	(	(	PUNCT
ejpam-6653	26	9	4	4	NUM
ejpam-6653	26	10	)	)	PUNCT
ejpam-6653	26	11	(	(	PUNCT
ejpam-6653	26	12	2025	2025	NUM
ejpam-6653	26	13	)	)	PUNCT
ejpam-6653	26	14	,	,	PUNCT
ejpam-6653	26	15	6653	6653	NUM
ejpam-6653	26	16	2	2	NUM
ejpam-6653	26	17	of	of	ADP
ejpam-6653	26	18	22	22	NUM
ejpam-6653	26	19	(	(	PUNCT
ejpam-6653	26	20	1994	1994	NUM
ejpam-6653	26	21	)	)	PUNCT
ejpam-6653	27	1	[	[	X
ejpam-6653	27	2	8	8	NUM
ejpam-6653	27	3	]	]	PUNCT
ejpam-6653	27	4	to	to	PART
ejpam-6653	27	5	fit	fit	VERB
ejpam-6653	27	6	real	real	ADJ
ejpam-6653	27	7	-	-	PUNCT
ejpam-6653	27	8	life	life	NOUN
ejpam-6653	27	9	data	datum	NOUN
ejpam-6653	27	10	.	.	PUNCT
ejpam-6653	28	1	however	however	ADV
ejpam-6653	28	2	,	,	PUNCT
ejpam-6653	28	3	these	these	DET
ejpam-6653	28	4	distributions	distribution	NOUN
ejpam-6653	28	5	are	be	AUX
ejpam-6653	28	6	not	not	PART
ejpam-6653	28	7	as	as	ADV
ejpam-6653	28	8	sophisticated	sophisticated	ADJ
ejpam-6653	28	9	in	in	ADP
ejpam-6653	28	10	modeling	model	VERB
ejpam-6653	28	11	datasets	dataset	NOUN
ejpam-6653	28	12	more	more	ADV
ejpam-6653	28	13	accurately	accurately	ADV
ejpam-6653	28	14	.	.	PUNCT
ejpam-6653	29	1	various	various	ADJ
ejpam-6653	29	2	classical	classical	ADJ
ejpam-6653	29	3	distributions	distribution	NOUN
ejpam-6653	29	4	are	be	AUX
ejpam-6653	29	5	modified	modify	VERB
ejpam-6653	29	6	and	and	CCONJ
ejpam-6653	29	7	extended	extend	VERB
ejpam-6653	29	8	to	to	PART
ejpam-6653	29	9	find	find	VERB
ejpam-6653	29	10	new	new	ADJ
ejpam-6653	29	11	distributions	distribution	NOUN
ejpam-6653	29	12	like	like	ADP
ejpam-6653	29	13	extended	extended	ADJ
ejpam-6653	29	14	gamma	gamma	NOUN
ejpam-6653	29	15	introduced	introduce	VERB
ejpam-6653	29	16	by	by	ADP
ejpam-6653	29	17	bakouch	bakouch	ADJ
ejpam-6653	29	18	(	(	PUNCT
ejpam-6653	29	19	2012	2012	NUM
ejpam-6653	29	20	)	)	PUNCT
ejpam-6653	30	1	[	[	X
ejpam-6653	30	2	9	9	NUM
ejpam-6653	30	3	]	]	PUNCT
ejpam-6653	30	4	,	,	PUNCT
ejpam-6653	30	5	two	two	NUM
ejpam-6653	30	6	-	-	PUNCT
ejpam-6653	30	7	parameter	parameter	NOUN
ejpam-6653	30	8	xgamma	xgamma	PROPN
ejpam-6653	30	9	weibull	weibull	PROPN
ejpam-6653	30	10	by	by	ADP
ejpam-6653	30	11	yousof	yousof	NOUN
ejpam-6653	30	12	et	et	PROPN
ejpam-6653	30	13	al	al	PROPN
ejpam-6653	30	14	.	.	PROPN
ejpam-6653	30	15	(	(	PUNCT
ejpam-6653	30	16	2021	2021	NUM
ejpam-6653	30	17	)	)	PUNCT
ejpam-6653	31	1	[	[	X
ejpam-6653	31	2	10	10	NUM
ejpam-6653	31	3	]	]	PUNCT
ejpam-6653	31	4	,	,	PUNCT
ejpam-6653	31	5	exponentiated	exponentiated	ADJ
ejpam-6653	31	6	survival	survival	NOUN
ejpam-6653	31	7	function	function	NOUN
ejpam-6653	31	8	of	of	ADP
ejpam-6653	31	9	beta	beta	NOUN
ejpam-6653	31	10	introduced	introduce	VERB
ejpam-6653	31	11	by	by	ADP
ejpam-6653	31	12	mahmoud	mahmoud	PROPN
ejpam-6653	31	13	et	et	PROPN
ejpam-6653	31	14	al	al	PROPN
ejpam-6653	31	15	.	.	PROPN
ejpam-6653	32	1	(	(	PUNCT
ejpam-6653	32	2	2024)[11	2024)[11	ADP
ejpam-6653	32	3	]	]	PUNCT
ejpam-6653	32	4	,	,	PUNCT
ejpam-6653	32	5	new	new	ADJ
ejpam-6653	32	6	beta	beta	NOUN
ejpam-6653	32	7	power	power	NOUN
ejpam-6653	32	8	flexible	flexible	ADJ
ejpam-6653	32	9	weibull	weibull	NOUN
ejpam-6653	32	10	(	(	PUNCT
ejpam-6653	32	11	nbpf	nbpf	NOUN
ejpam-6653	32	12	-	-	PUNCT
ejpam-6653	32	13	weibull	weibull	PROPN
ejpam-6653	32	14	)	)	PUNCT
ejpam-6653	32	15	by	by	ADP
ejpam-6653	32	16	tang	tang	PROPN
ejpam-6653	32	17	et	et	PROPN
ejpam-6653	32	18	al	al	PROPN
ejpam-6653	32	19	.	.	PROPN
ejpam-6653	32	20	(	(	PUNCT
ejpam-6653	32	21	2024)[12	2024)[12	NUM
ejpam-6653	32	22	]	]	X
ejpam-6653	32	23	,	,	PUNCT
ejpam-6653	32	24	ge	ge	PROPN
ejpam-6653	32	25	weibull	weibull	PROPN
ejpam-6653	32	26	by	by	ADP
ejpam-6653	32	27	kamal	kamal	PROPN
ejpam-6653	32	28	et	et	PROPN
ejpam-6653	32	29	al	al	PROPN
ejpam-6653	32	30	.	.	PROPN
ejpam-6653	33	1	(	(	PUNCT
ejpam-6653	33	2	2023)[13	2023)[13	NUM
ejpam-6653	33	3	]	]	PUNCT
ejpam-6653	33	4	and	and	CCONJ
ejpam-6653	33	5	extended	extend	VERB
ejpam-6653	33	6	xgamma	xgamma	NOUN
ejpam-6653	33	7	by	by	ADP
ejpam-6653	33	8	saha	saha	PROPN
ejpam-6653	33	9	et	et	PROPN
ejpam-6653	33	10	al	al	PROPN
ejpam-6653	33	11	.	.	PUNCT
ejpam-6653	34	1	(	(	PUNCT
ejpam-6653	34	2	2019)[14	2019)[14	NUM
ejpam-6653	34	3	]	]	X
ejpam-6653	34	4	,	,	PUNCT
ejpam-6653	34	5	which	which	PRON
ejpam-6653	34	6	serve	serve	VERB
ejpam-6653	34	7	the	the	DET
ejpam-6653	34	8	purpose	purpose	NOUN
ejpam-6653	34	9	of	of	ADP
ejpam-6653	34	10	flexible	flexible	ADJ
ejpam-6653	34	11	data	datum	NOUN
ejpam-6653	34	12	modelling	modelling	NOUN
ejpam-6653	34	13	.	.	PUNCT
ejpam-6653	35	1	in	in	ADP
ejpam-6653	35	2	this	this	DET
ejpam-6653	35	3	study	study	NOUN
ejpam-6653	35	4	,	,	PUNCT
ejpam-6653	35	5	we	we	PRON
ejpam-6653	35	6	introduce	introduce	VERB
ejpam-6653	35	7	a	a	DET
ejpam-6653	35	8	new	new	ADJ
ejpam-6653	35	9	one	one	NUM
ejpam-6653	35	10	-	-	PUNCT
ejpam-6653	35	11	parameter	parameter	NOUN
ejpam-6653	35	12	continuous	continuous	ADJ
ejpam-6653	35	13	type	type	NOUN
ejpam-6653	35	14	of	of	ADP
ejpam-6653	35	15	distribution	distribution	NOUN
ejpam-6653	35	16	using	use	VERB
ejpam-6653	35	17	a	a	DET
ejpam-6653	35	18	similar	similar	ADJ
ejpam-6653	35	19	approach	approach	NOUN
ejpam-6653	35	20	used	use	VERB
ejpam-6653	35	21	by	by	ADP
ejpam-6653	35	22	messaadia	messaadia	PROPN
ejpam-6653	35	23	and	and	CCONJ
ejpam-6653	35	24	zeghdoudi	zeghdoudi	NOUN
ejpam-6653	35	25	(	(	PUNCT
ejpam-6653	35	26	2018	2018	NUM
ejpam-6653	35	27	)	)	PUNCT
ejpam-6653	36	1	[	[	X
ejpam-6653	36	2	15	15	NUM
ejpam-6653	36	3	]	]	PUNCT
ejpam-6653	36	4	but	but	CCONJ
ejpam-6653	36	5	taking	take	VERB
ejpam-6653	36	6	a	a	DET
ejpam-6653	36	7	different	different	ADJ
ejpam-6653	36	8	mixing	mixing	NOUN
ejpam-6653	36	9	probability	probability	NOUN
ejpam-6653	36	10	.	.	PUNCT
ejpam-6653	37	1	the	the	DET
ejpam-6653	37	2	rest	rest	NOUN
ejpam-6653	37	3	of	of	ADP
ejpam-6653	37	4	the	the	DET
ejpam-6653	37	5	paper	paper	NOUN
ejpam-6653	37	6	is	be	AUX
ejpam-6653	37	7	organized	organize	VERB
ejpam-6653	37	8	as	as	SCONJ
ejpam-6653	37	9	follows	follow	VERB
ejpam-6653	37	10	.	.	PUNCT
ejpam-6653	38	1	in	in	ADP
ejpam-6653	38	2	section	section	NOUN
ejpam-6653	38	3	3	3	NUM
ejpam-6653	38	4	,	,	PUNCT
ejpam-6653	38	5	we	we	PRON
ejpam-6653	38	6	define	define	VERB
ejpam-6653	38	7	the	the	DET
ejpam-6653	38	8	probability	probability	NOUN
ejpam-6653	38	9	density	density	NOUN
ejpam-6653	38	10	(	(	PUNCT
ejpam-6653	38	11	pdf	pdf	NOUN
ejpam-6653	38	12	)	)	PUNCT
ejpam-6653	38	13	and	and	CCONJ
ejpam-6653	38	14	cumulative	cumulative	ADJ
ejpam-6653	38	15	distribution	distribution	NOUN
ejpam-6653	38	16	(	(	PUNCT
ejpam-6653	38	17	cdf	cdf	NOUN
ejpam-6653	38	18	)	)	PUNCT
ejpam-6653	38	19	functions	function	NOUN
ejpam-6653	38	20	of	of	ADP
ejpam-6653	38	21	the	the	DET
ejpam-6653	38	22	proposed	propose	VERB
ejpam-6653	38	23	distribution	distribution	NOUN
ejpam-6653	38	24	.	.	PUNCT
ejpam-6653	39	1	section	section	NOUN
ejpam-6653	39	2	4	4	NUM
ejpam-6653	39	3	derives	derive	VERB
ejpam-6653	39	4	its	its	PRON
ejpam-6653	39	5	statistical	statistical	ADJ
ejpam-6653	39	6	properties	property	NOUN
ejpam-6653	39	7	,	,	PUNCT
ejpam-6653	39	8	including	include	VERB
ejpam-6653	39	9	raw	raw	ADJ
ejpam-6653	39	10	moments	moment	NOUN
ejpam-6653	39	11	,	,	PUNCT
ejpam-6653	39	12	mean	mean	VERB
ejpam-6653	39	13	deviation	deviation	NOUN
ejpam-6653	39	14	,	,	PUNCT
ejpam-6653	39	15	moment	moment	NOUN
ejpam-6653	39	16	and	and	CCONJ
ejpam-6653	39	17	cumulant	cumulant	ADJ
ejpam-6653	39	18	generating	generating	NOUN
ejpam-6653	39	19	functions	function	NOUN
ejpam-6653	39	20	,	,	PUNCT
ejpam-6653	39	21	skewness	skewness	NOUN
ejpam-6653	39	22	,	,	PUNCT
ejpam-6653	39	23	and	and	CCONJ
ejpam-6653	39	24	kurtosis	kurtosis	NOUN
ejpam-6653	39	25	.	.	PUNCT
ejpam-6653	40	1	the	the	DET
ejpam-6653	40	2	stochastic	stochastic	ADJ
ejpam-6653	40	3	ordering	ordering	NOUN
ejpam-6653	40	4	that	that	PRON
ejpam-6653	40	5	characterizes	characterize	VERB
ejpam-6653	40	6	the	the	DET
ejpam-6653	40	7	structural	structural	ADJ
ejpam-6653	40	8	behavior	behavior	NOUN
ejpam-6653	40	9	of	of	ADP
ejpam-6653	40	10	the	the	DET
ejpam-6653	40	11	distribution	distribution	NOUN
ejpam-6653	40	12	is	be	AUX
ejpam-6653	40	13	discussed	discuss	VERB
ejpam-6653	40	14	in	in	ADP
ejpam-6653	40	15	section	section	NOUN
ejpam-6653	40	16	5	5	NUM
ejpam-6653	40	17	.	.	PUNCT
ejpam-6653	41	1	reliability	reliability	NOUN
ejpam-6653	41	2	properties	property	NOUN
ejpam-6653	41	3	,	,	PUNCT
ejpam-6653	41	4	such	such	ADJ
ejpam-6653	41	5	as	as	ADP
ejpam-6653	41	6	the	the	DET
ejpam-6653	41	7	hazard	hazard	NOUN
ejpam-6653	41	8	function	function	NOUN
ejpam-6653	41	9	and	and	CCONJ
ejpam-6653	41	10	mean	mean	VERB
ejpam-6653	41	11	residual	residual	ADJ
ejpam-6653	41	12	life	life	NOUN
ejpam-6653	41	13	,	,	PUNCT
ejpam-6653	41	14	are	be	AUX
ejpam-6653	41	15	presented	present	VERB
ejpam-6653	41	16	in	in	ADP
ejpam-6653	41	17	section	section	NOUN
ejpam-6653	41	18	7	7	NUM
ejpam-6653	41	19	.	.	PUNCT
ejpam-6653	41	20	section	section	NOUN
ejpam-6653	41	21	8	8	NUM
ejpam-6653	41	22	provides	provide	VERB
ejpam-6653	41	23	results	result	NOUN
ejpam-6653	41	24	for	for	ADP
ejpam-6653	41	25	the	the	DET
ejpam-6653	41	26	order	order	NOUN
ejpam-6653	41	27	statistics	statistic	NOUN
ejpam-6653	41	28	.	.	PUNCT
ejpam-6653	42	1	parameter	parameter	NOUN
ejpam-6653	42	2	estimation	estimation	NOUN
ejpam-6653	42	3	methods	method	NOUN
ejpam-6653	42	4	,	,	PUNCT
ejpam-6653	42	5	including	include	VERB
ejpam-6653	42	6	the	the	DET
ejpam-6653	42	7	method	method	NOUN
ejpam-6653	42	8	of	of	ADP
ejpam-6653	42	9	moments	moment	NOUN
ejpam-6653	42	10	and	and	CCONJ
ejpam-6653	42	11	maximum	maximum	ADJ
ejpam-6653	42	12	likelihood	likelihood	NOUN
ejpam-6653	42	13	estimation	estimation	NOUN
ejpam-6653	42	14	,	,	PUNCT
ejpam-6653	42	15	are	be	AUX
ejpam-6653	42	16	described	describe	VERB
ejpam-6653	42	17	in	in	ADP
ejpam-6653	42	18	section	section	NOUN
ejpam-6653	42	19	9	9	NUM
ejpam-6653	42	20	.	.	PUNCT
ejpam-6653	43	1	a	a	DET
ejpam-6653	43	2	monte	monte	PROPN
ejpam-6653	43	3	carlo	carlo	PROPN
ejpam-6653	43	4	simulation	simulation	PROPN
ejpam-6653	43	5	study	study	PROPN
ejpam-6653	43	6	investigating	investigate	VERB
ejpam-6653	43	7	bias	bias	NOUN
ejpam-6653	43	8	and	and	CCONJ
ejpam-6653	43	9	mean	mean	VERB
ejpam-6653	43	10	square	square	ADJ
ejpam-6653	43	11	error	error	NOUN
ejpam-6653	43	12	of	of	ADP
ejpam-6653	43	13	the	the	DET
ejpam-6653	43	14	estimators	estimator	NOUN
ejpam-6653	43	15	is	be	AUX
ejpam-6653	43	16	given	give	VERB
ejpam-6653	43	17	in	in	ADP
ejpam-6653	43	18	section	section	NOUN
ejpam-6653	43	19	10	10	NUM
ejpam-6653	43	20	.	.	PUNCT
ejpam-6653	44	1	applications	application	NOUN
ejpam-6653	44	2	of	of	ADP
ejpam-6653	44	3	the	the	DET
ejpam-6653	44	4	proposed	propose	VERB
ejpam-6653	44	5	distribution	distribution	NOUN
ejpam-6653	44	6	to	to	ADP
ejpam-6653	44	7	four	four	NUM
ejpam-6653	44	8	real	real	ADJ
ejpam-6653	44	9	-	-	PUNCT
ejpam-6653	44	10	life	life	NOUN
ejpam-6653	44	11	datasets	dataset	NOUN
ejpam-6653	44	12	are	be	AUX
ejpam-6653	44	13	discussed	discuss	VERB
ejpam-6653	44	14	in	in	ADP
ejpam-6653	44	15	section	section	NOUN
ejpam-6653	44	16	11	11	NUM
ejpam-6653	44	17	.	.	PUNCT
ejpam-6653	45	1	finally	finally	ADV
ejpam-6653	45	2	,	,	PUNCT
ejpam-6653	45	3	section	section	NOUN
ejpam-6653	45	4	12	12	NUM
ejpam-6653	45	5	concludes	conclude	VERB
ejpam-6653	45	6	the	the	DET
ejpam-6653	45	7	paper	paper	NOUN
ejpam-6653	45	8	with	with	ADP
ejpam-6653	45	9	a	a	DET
ejpam-6653	45	10	summary	summary	NOUN
ejpam-6653	45	11	of	of	ADP
ejpam-6653	45	12	findings	finding	NOUN
ejpam-6653	45	13	and	and	CCONJ
ejpam-6653	45	14	potential	potential	ADJ
ejpam-6653	45	15	directions	direction	NOUN
ejpam-6653	45	16	for	for	ADP
ejpam-6653	45	17	future	future	ADJ
ejpam-6653	45	18	research	research	NOUN
ejpam-6653	45	19	.	.	PUNCT
ejpam-6653	46	1	2	2	X
ejpam-6653	46	2	.	.	X
ejpam-6653	46	3	methodology	methodology	NOUN
ejpam-6653	46	4	the	the	DET
ejpam-6653	46	5	new	new	ADJ
ejpam-6653	46	6	distribution	distribution	NOUN
ejpam-6653	46	7	is	be	AUX
ejpam-6653	46	8	a	a	DET
ejpam-6653	46	9	finite	finite	ADJ
ejpam-6653	46	10	mixture	mixture	NOUN
ejpam-6653	46	11	of	of	ADP
ejpam-6653	46	12	two	two	NUM
ejpam-6653	46	13	gamma	gamma	NOUN
ejpam-6653	46	14	distributions	distribution	NOUN
ejpam-6653	46	15	having	have	VERB
ejpam-6653	46	16	different	different	ADJ
ejpam-6653	46	17	shape	shape	NOUN
ejpam-6653	46	18	parameters	parameter	NOUN
ejpam-6653	46	19	with	with	ADP
ejpam-6653	46	20	certain	certain	ADJ
ejpam-6653	46	21	mixing	mix	VERB
ejpam-6653	46	22	probabilities	probability	NOUN
ejpam-6653	46	23	.	.	PUNCT
ejpam-6653	47	1	the	the	DET
ejpam-6653	47	2	form	form	NOUN
ejpam-6653	47	3	of	of	ADP
ejpam-6653	47	4	the	the	DET
ejpam-6653	47	5	finite	finite	ADJ
ejpam-6653	47	6	mixture	mixture	NOUN
ejpam-6653	47	7	distribution	distribution	NOUN
ejpam-6653	47	8	is	be	AUX
ejpam-6653	47	9	given	give	VERB
ejpam-6653	47	10	by	by	ADP
ejpam-6653	47	11	g(x	g(x	NOUN
ejpam-6653	47	12	)	)	PUNCT
ejpam-6653	48	1	=	=	PRON
ejpam-6653	48	2	k∑	k∑	VERB
ejpam-6653	48	3	i=1	i=1	PROPN
ejpam-6653	48	4	πig(xi	πig(xi	PROPN
ejpam-6653	48	5	)	)	PUNCT
ejpam-6653	48	6	.	.	PUNCT
ejpam-6653	49	1	let	let	VERB
ejpam-6653	49	2	g1(x	g1(x	NOUN
ejpam-6653	49	3	)	)	PUNCT
ejpam-6653	49	4	∼	∼	NOUN
ejpam-6653	49	5	gamma(2	gamma(2	NOUN
ejpam-6653	49	6	,	,	PUNCT
ejpam-6653	49	7	θ	θ	NOUN
ejpam-6653	49	8	)	)	PUNCT
ejpam-6653	49	9	and	and	CCONJ
ejpam-6653	49	10	g2(x	g2(x	NOUN
ejpam-6653	49	11	)	)	PUNCT
ejpam-6653	49	12	∼	∼	NOUN
ejpam-6653	49	13	gamma(3	gamma(3	NOUN
ejpam-6653	49	14	,	,	PUNCT
ejpam-6653	49	15	θ	θ	NOUN
ejpam-6653	49	16	)	)	PUNCT
ejpam-6653	49	17	and	and	CCONJ
ejpam-6653	49	18	π1	π1	ADJ
ejpam-6653	49	19	=	=	SYM
ejpam-6653	49	20	θ	θ	NOUN
ejpam-6653	49	21	1	1	NUM
ejpam-6653	49	22	+	+	NUM
ejpam-6653	49	23	θ	θ	NOUN
ejpam-6653	49	24	be	be	VERB
ejpam-6653	49	25	the	the	DET
ejpam-6653	49	26	mixing	mixing	NOUN
ejpam-6653	49	27	probability	probability	NOUN
ejpam-6653	49	28	,	,	PUNCT
ejpam-6653	49	29	then	then	ADV
ejpam-6653	49	30	g(x	g(x	NOUN
ejpam-6653	49	31	)	)	PUNCT
ejpam-6653	49	32	is	be	AUX
ejpam-6653	49	33	our	our	PRON
ejpam-6653	49	34	desired	desire	VERB
ejpam-6653	49	35	probability	probability	NOUN
ejpam-6653	49	36	distribution	distribution	NOUN
ejpam-6653	49	37	.	.	PUNCT
ejpam-6653	50	1	although	although	SCONJ
ejpam-6653	50	2	the	the	DET
ejpam-6653	50	3	mgamma	mgamma	PROPN
ejpam-6653	50	4	distribution	distribution	NOUN
ejpam-6653	50	5	may	may	AUX
ejpam-6653	50	6	be	be	AUX
ejpam-6653	50	7	a	a	DET
ejpam-6653	50	8	particular	particular	ADJ
ejpam-6653	50	9	form	form	NOUN
ejpam-6653	50	10	of	of	ADP
ejpam-6653	50	11	one	one	NUM
ejpam-6653	50	12	-	-	PUNCT
ejpam-6653	50	13	parameter	parameter	NOUN
ejpam-6653	50	14	polynomial	polynomial	ADJ
ejpam-6653	50	15	exponential	exponential	NOUN
ejpam-6653	50	16	(	(	PUNCT
ejpam-6653	50	17	oppe	oppe	NOUN
ejpam-6653	50	18	)	)	PUNCT
ejpam-6653	50	19	distribution	distribution	NOUN
ejpam-6653	50	20	introduced	introduce	VERB
ejpam-6653	50	21	by	by	ADP
ejpam-6653	50	22	bouchahed	bouchahe	VERB
ejpam-6653	50	23	and	and	CCONJ
ejpam-6653	50	24	zeghdoudi	zeghdoudi	NOUN
ejpam-6653	50	25	(	(	PUNCT
ejpam-6653	50	26	2018	2018	NUM
ejpam-6653	50	27	)	)	PUNCT
ejpam-6653	51	1	[	[	X
ejpam-6653	51	2	16	16	NUM
ejpam-6653	51	3	]	]	X
ejpam-6653	51	4	taking	take	VERB
ejpam-6653	51	5	r	r	NOUN
ejpam-6653	51	6	=	=	SYM
ejpam-6653	51	7	2	2	NUM
ejpam-6653	51	8	and	and	CCONJ
ejpam-6653	51	9	a0	a0	NOUN
ejpam-6653	51	10	=	=	SYM
ejpam-6653	51	11	0	0	PROPN
ejpam-6653	51	12	,	,	PUNCT
ejpam-6653	51	13	a1	a1	NOUN
ejpam-6653	51	14	=	=	SYM
ejpam-6653	51	15	1	1	NUM
ejpam-6653	51	16	,	,	PUNCT
ejpam-6653	51	17	a2	a2	PROPN
ejpam-6653	51	18	=	=	SYM
ejpam-6653	51	19	1/2	1/2	NUM
ejpam-6653	51	20	,	,	PUNCT
ejpam-6653	51	21	it	it	PRON
ejpam-6653	51	22	is	be	AUX
ejpam-6653	51	23	easy	easy	ADJ
ejpam-6653	51	24	to	to	PART
ejpam-6653	51	25	use	use	VERB
ejpam-6653	51	26	by	by	ADP
ejpam-6653	51	27	non	non	NOUN
ejpam-6653	51	28	-	-	NOUN
ejpam-6653	51	29	statisticians	statistician	NOUN
ejpam-6653	51	30	due	due	ADP
ejpam-6653	51	31	to	to	ADP
ejpam-6653	51	32	its	its	PRON
ejpam-6653	51	33	flexible	flexible	ADJ
ejpam-6653	51	34	model	model	NOUN
ejpam-6653	51	35	.	.	PUNCT
ejpam-6653	52	1	whereas	whereas	SCONJ
ejpam-6653	52	2	for	for	ADP
ejpam-6653	52	3	oppe	oppe	NOUN
ejpam-6653	52	4	,	,	PUNCT
ejpam-6653	52	5	it	it	PRON
ejpam-6653	52	6	is	be	AUX
ejpam-6653	52	7	difficult	difficult	ADJ
ejpam-6653	52	8	to	to	PART
ejpam-6653	52	9	determine	determine	VERB
ejpam-6653	52	10	which	which	DET
ejpam-6653	52	11	values	value	NOUN
ejpam-6653	52	12	of	of	ADP
ejpam-6653	53	1	ai	ai	ADJ
ejpam-6653	53	2	yield	yield	NOUN
ejpam-6653	53	3	a	a	DET
ejpam-6653	53	4	good	good	ADJ
ejpam-6653	53	5	model	model	NOUN
ejpam-6653	53	6	,	,	PUNCT
ejpam-6653	53	7	i.e.	i.e.	X
ejpam-6653	53	8	,	,	PUNCT
ejpam-6653	53	9	choice	choice	NOUN
ejpam-6653	53	10	of	of	ADP
ejpam-6653	53	11	ai	ai	VERB
ejpam-6653	53	12	’s	’s	PART
ejpam-6653	53	13	are	be	AUX
ejpam-6653	53	14	very	very	ADV
ejpam-6653	53	15	difficult	difficult	ADJ
ejpam-6653	53	16	to	to	PART
ejpam-6653	53	17	estimate	estimate	VERB
ejpam-6653	53	18	.	.	PUNCT
ejpam-6653	54	1	moreover	moreover	ADV
ejpam-6653	54	2	,	,	PUNCT
ejpam-6653	54	3	it	it	PRON
ejpam-6653	54	4	is	be	AUX
ejpam-6653	54	5	a	a	DET
ejpam-6653	54	6	general	general	ADJ
ejpam-6653	54	7	form	form	NOUN
ejpam-6653	54	8	,	,	PUNCT
ejpam-6653	54	9	difficult	difficult	ADJ
ejpam-6653	54	10	for	for	SCONJ
ejpam-6653	54	11	nonstatisticians	nonstatistician	NOUN
ejpam-6653	54	12	to	to	PART
ejpam-6653	54	13	use	use	VERB
ejpam-6653	54	14	for	for	ADP
ejpam-6653	54	15	modeling	modeling	NOUN
ejpam-6653	54	16	.	.	PUNCT
ejpam-6653	55	1	also	also	ADV
ejpam-6653	55	2	,	,	PUNCT
ejpam-6653	55	3	bouchahed	bouchahed	ADJ
ejpam-6653	55	4	and	and	CCONJ
ejpam-6653	55	5	zeghdoudi	zeghdoudi	NOUN
ejpam-6653	55	6	(	(	PUNCT
ejpam-6653	55	7	2018	2018	NUM
ejpam-6653	55	8	)	)	PUNCT
ejpam-6653	55	9	did	do	AUX
ejpam-6653	55	10	not	not	PART
ejpam-6653	55	11	test	test	VERB
ejpam-6653	55	12	the	the	DET
ejpam-6653	55	13	bias	bias	NOUN
ejpam-6653	55	14	and	and	CCONJ
ejpam-6653	55	15	mse	mse	NOUN
ejpam-6653	55	16	,	,	PUNCT
ejpam-6653	55	17	they	they	PRON
ejpam-6653	55	18	only	only	ADV
ejpam-6653	55	19	provided	provide	VERB
ejpam-6653	55	20	the	the	DET
ejpam-6653	55	21	formula	formula	NOUN
ejpam-6653	55	22	.	.	PUNCT
ejpam-6653	56	1	m.	m.	NOUN
ejpam-6653	56	2	i.	i.	PROPN
ejpam-6653	56	3	khan	khan	PROPN
ejpam-6653	56	4	,	,	PUNCT
ejpam-6653	56	5	m.	m.	PROPN
ejpam-6653	56	6	k.	k.	PROPN
ejpam-6653	56	7	ruidas	ruidas	PROPN
ejpam-6653	56	8	/	/	SYM
ejpam-6653	56	9	eur	eur	PROPN
ejpam-6653	56	10	.	.	PUNCT
ejpam-6653	57	1	j.	j.	PROPN
ejpam-6653	57	2	pure	pure	PROPN
ejpam-6653	57	3	appl	appl	PROPN
ejpam-6653	57	4	.	.	PROPN
ejpam-6653	57	5	math	math	PROPN
ejpam-6653	57	6	,	,	PUNCT
ejpam-6653	57	7	18	18	NUM
ejpam-6653	57	8	(	(	PUNCT
ejpam-6653	57	9	4	4	NUM
ejpam-6653	57	10	)	)	PUNCT
ejpam-6653	57	11	(	(	PUNCT
ejpam-6653	57	12	2025	2025	NUM
ejpam-6653	57	13	)	)	PUNCT
ejpam-6653	57	14	,	,	PUNCT
ejpam-6653	57	15	6653	6653	NUM
ejpam-6653	57	16	3	3	NUM
ejpam-6653	57	17	of	of	ADP
ejpam-6653	57	18	22	22	NUM
ejpam-6653	57	19	3	3	NUM
ejpam-6653	57	20	.	.	PUNCT
ejpam-6653	58	1	the	the	DET
ejpam-6653	58	2	mgamma	mgamma	PROPN
ejpam-6653	58	3	distribution	distribution	NOUN
ejpam-6653	58	4	most	most	ADJ
ejpam-6653	58	5	of	of	ADP
ejpam-6653	58	6	the	the	DET
ejpam-6653	58	7	one	one	NUM
ejpam-6653	58	8	-	-	PUNCT
ejpam-6653	58	9	parameter	parameter	NOUN
ejpam-6653	58	10	continuous	continuous	ADJ
ejpam-6653	58	11	distributions	distribution	NOUN
ejpam-6653	58	12	,	,	PUNCT
ejpam-6653	58	13	such	such	ADJ
ejpam-6653	58	14	as	as	ADP
ejpam-6653	58	15	lindley	lindley	NOUN
ejpam-6653	58	16	,	,	PUNCT
ejpam-6653	58	17	shanker	shanker	NOUN
ejpam-6653	58	18	and	and	CCONJ
ejpam-6653	58	19	xgamma	xgamma	PROPN
ejpam-6653	58	20	etc	etc	X
ejpam-6653	58	21	.	.	X
ejpam-6653	58	22	,	,	PUNCT
ejpam-6653	58	23	are	be	AUX
ejpam-6653	58	24	derived	derive	VERB
ejpam-6653	58	25	directly	directly	ADV
ejpam-6653	58	26	from	from	ADP
ejpam-6653	58	27	simple	simple	ADJ
ejpam-6653	58	28	transformations	transformation	NOUN
ejpam-6653	58	29	or	or	CCONJ
ejpam-6653	58	30	mixtures	mixture	NOUN
ejpam-6653	58	31	of	of	ADP
ejpam-6653	58	32	exponential	exponential	NOUN
ejpam-6653	58	33	and	and	CCONJ
ejpam-6653	58	34	gamma	gamma	NOUN
ejpam-6653	58	35	with	with	ADP
ejpam-6653	58	36	a	a	DET
ejpam-6653	58	37	single	single	ADJ
ejpam-6653	58	38	mixing	mix	VERB
ejpam-6653	58	39	scheme	scheme	NOUN
ejpam-6653	58	40	,	,	PUNCT
ejpam-6653	58	41	whereas	whereas	SCONJ
ejpam-6653	58	42	mgamma	mgamma	PROPN
ejpam-6653	58	43	is	be	AUX
ejpam-6653	58	44	a	a	DET
ejpam-6653	58	45	finite	finite	ADJ
ejpam-6653	58	46	mixture	mixture	NOUN
ejpam-6653	58	47	of	of	ADP
ejpam-6653	58	48	two	two	NUM
ejpam-6653	58	49	gamma	gamma	NOUN
ejpam-6653	58	50	distributions	distribution	NOUN
ejpam-6653	58	51	with	with	ADP
ejpam-6653	58	52	different	different	ADJ
ejpam-6653	58	53	shape	shape	NOUN
ejpam-6653	58	54	parameters	parameter	NOUN
ejpam-6653	58	55	but	but	CCONJ
ejpam-6653	58	56	a	a	DET
ejpam-6653	58	57	single	single	ADJ
ejpam-6653	58	58	scale	scale	NOUN
ejpam-6653	58	59	parameter	parameter	NOUN
ejpam-6653	58	60	,	,	PUNCT
ejpam-6653	58	61	which	which	PRON
ejpam-6653	58	62	makes	make	VERB
ejpam-6653	58	63	it	it	PRON
ejpam-6653	58	64	different	different	ADJ
ejpam-6653	58	65	and	and	CCONJ
ejpam-6653	58	66	richer	rich	ADJ
ejpam-6653	58	67	than	than	ADP
ejpam-6653	58	68	other	other	ADJ
ejpam-6653	58	69	classical	classical	ADJ
ejpam-6653	58	70	distributions	distribution	NOUN
ejpam-6653	58	71	.	.	PUNCT
ejpam-6653	59	1	a	a	DET
ejpam-6653	59	2	random	random	ADJ
ejpam-6653	59	3	variable	variable	NOUN
ejpam-6653	59	4	x	x	PUNCT
ejpam-6653	59	5	is	be	AUX
ejpam-6653	59	6	said	say	VERB
ejpam-6653	59	7	to	to	PART
ejpam-6653	59	8	have	have	VERB
ejpam-6653	59	9	the	the	DET
ejpam-6653	59	10	mgamma	mgamma	ADJ
ejpam-6653	59	11	distribution	distribution	NOUN
ejpam-6653	59	12	with	with	ADP
ejpam-6653	59	13	parameter	parameter	NOUN
ejpam-6653	59	14	θ	θ	PROPN
ejpam-6653	59	15	if	if	SCONJ
ejpam-6653	59	16	its	its	PRON
ejpam-6653	59	17	pdf	pdf	NOUN
ejpam-6653	59	18	is	be	AUX
ejpam-6653	59	19	defined	define	VERB
ejpam-6653	59	20	as	as	ADP
ejpam-6653	59	21	f(x	f(x	PROPN
ejpam-6653	59	22	)	)	PUNCT
ejpam-6653	60	1	=	=	SYM
ejpam-6653	60	2	θ3x	θ3x	NOUN
ejpam-6653	60	3	(	(	PUNCT
ejpam-6653	60	4	1	1	NUM
ejpam-6653	60	5	+	+	CCONJ
ejpam-6653	60	6	x	x	SYM
ejpam-6653	60	7	2	2	X
ejpam-6653	60	8	)	)	PUNCT
ejpam-6653	60	9	e−θx	e−θx	PROPN
ejpam-6653	60	10	1	1	NUM
ejpam-6653	60	11	+	+	NUM
ejpam-6653	60	12	θ	θ	NOUN
ejpam-6653	60	13	;	;	PUNCT
ejpam-6653	60	14	x	x	SYM
ejpam-6653	60	15	>	>	X
ejpam-6653	60	16	0	0	PROPN
ejpam-6653	60	17	,	,	PUNCT
ejpam-6653	60	18	θ	θ	PROPN
ejpam-6653	60	19	>	>	X
ejpam-6653	60	20	0	0	PUNCT
ejpam-6653	61	1	(	(	PUNCT
ejpam-6653	61	2	1	1	NUM
ejpam-6653	61	3	)	)	PUNCT
ejpam-6653	61	4	0	0	NUM
ejpam-6653	61	5	2	2	NUM
ejpam-6653	61	6	4	4	NUM
ejpam-6653	61	7	6	6	NUM
ejpam-6653	61	8	8	8	NUM
ejpam-6653	61	9	10	10	NUM
ejpam-6653	61	10	0.0	0.0	NUM
ejpam-6653	61	11	0.2	0.2	NUM
ejpam-6653	61	12	0.4	0.4	NUM
ejpam-6653	61	13	0.6	0.6	NUM
ejpam-6653	61	14	0.8	0.8	NUM
ejpam-6653	61	15	1.0	1.0	NUM
ejpam-6653	61	16	plot	plot	NOUN
ejpam-6653	61	17	of	of	ADP
ejpam-6653	61	18	pdf	pdf	NOUN
ejpam-6653	61	19	of	of	ADP
ejpam-6653	61	20	mgamma	mgamma	PROPN
ejpam-6653	61	21	distribution	distribution	NOUN
ejpam-6653	61	22	x	x	SYM
ejpam-6653	61	23	f(x	f(x	PROPN
ejpam-6653	61	24	)	)	PUNCT
ejpam-6653	62	1	θ	θ	NOUN
ejpam-6653	62	2	=	=	SYM
ejpam-6653	62	3	0.5	0.5	NUM
ejpam-6653	62	4	θ	θ	NOUN
ejpam-6653	62	5	=	=	PUNCT
ejpam-6653	62	6	0.8	0.8	NUM
ejpam-6653	62	7	θ	θ	NOUN
ejpam-6653	62	8	=	=	SYM
ejpam-6653	62	9	1	1	NUM
ejpam-6653	62	10	θ	θ	NOUN
ejpam-6653	62	11	=	=	SYM
ejpam-6653	62	12	3	3	NUM
ejpam-6653	62	13	θ	θ	NOUN
ejpam-6653	62	14	=	=	SYM
ejpam-6653	62	15	5	5	NUM
ejpam-6653	62	16	figure	figure	NOUN
ejpam-6653	62	17	1	1	NUM
ejpam-6653	62	18	:	:	PUNCT
ejpam-6653	62	19	p.d.f	p.d.f	ADJ
ejpam-6653	62	20	.	.	PUNCT
ejpam-6653	63	1	plot	plot	NOUN
ejpam-6653	63	2	of	of	ADP
ejpam-6653	63	3	mgamma	mgamma	ADJ
ejpam-6653	63	4	distribution	distribution	NOUN
ejpam-6653	63	5	for	for	ADP
ejpam-6653	63	6	different	different	ADJ
ejpam-6653	63	7	θ	θ	NOUN
ejpam-6653	63	8	denoted	denote	VERB
ejpam-6653	63	9	by	by	ADP
ejpam-6653	63	10	x	x	PUNCT
ejpam-6653	63	11	∼	∼	NOUN
ejpam-6653	63	12	m(θ	m(θ	NOUN
ejpam-6653	63	13	)	)	PUNCT
ejpam-6653	63	14	,	,	PUNCT
ejpam-6653	63	15	its	its	PRON
ejpam-6653	63	16	cdf	cdf	PROPN
ejpam-6653	63	17	is	be	AUX
ejpam-6653	63	18	given	give	VERB
ejpam-6653	63	19	by	by	ADP
ejpam-6653	63	20	f	f	PROPN
ejpam-6653	63	21	(	(	PUNCT
ejpam-6653	63	22	x	x	NOUN
ejpam-6653	63	23	)	)	PUNCT
ejpam-6653	63	24	=	=	SYM
ejpam-6653	64	1	1−	1−	NUM
ejpam-6653	64	2	[	[	PUNCT
ejpam-6653	64	3	1	1	NUM
ejpam-6653	65	1	+	+	CCONJ
ejpam-6653	65	2	θx	θx	PART
ejpam-6653	65	3	1	1	NUM
ejpam-6653	65	4	+	+	NUM
ejpam-6653	65	5	θ	θ	NOUN
ejpam-6653	65	6	(	(	PUNCT
ejpam-6653	65	7	1	1	NUM
ejpam-6653	65	8	+	+	NUM
ejpam-6653	65	9	θ	θ	X
ejpam-6653	66	1	+	+	CCONJ
ejpam-6653	66	2	θx	θx	X
ejpam-6653	66	3	2	2	NUM
ejpam-6653	66	4	)	)	PUNCT
ejpam-6653	66	5	]	]	PUNCT
ejpam-6653	67	1	e−θx	e−θx	PROPN
ejpam-6653	67	2	;	;	PUNCT
ejpam-6653	67	3	x	x	X
ejpam-6653	67	4	>	>	X
ejpam-6653	67	5	0	0	PROPN
ejpam-6653	67	6	,	,	PUNCT
ejpam-6653	67	7	θ	θ	PROPN
ejpam-6653	67	8	>	>	X
ejpam-6653	67	9	0	0	PUNCT
ejpam-6653	68	1	(	(	PUNCT
ejpam-6653	68	2	2	2	NUM
ejpam-6653	68	3	)	)	PUNCT
ejpam-6653	68	4	to	to	PART
ejpam-6653	68	5	find	find	VERB
ejpam-6653	68	6	the	the	DET
ejpam-6653	68	7	mode	mode	NOUN
ejpam-6653	68	8	of	of	ADP
ejpam-6653	68	9	the	the	DET
ejpam-6653	68	10	distribution	distribution	NOUN
ejpam-6653	68	11	,	,	PUNCT
ejpam-6653	68	12	we	we	PRON
ejpam-6653	68	13	first	first	ADV
ejpam-6653	68	14	differentiate	differentiate	VERB
ejpam-6653	68	15	equation	equation	NOUN
ejpam-6653	68	16	(	(	PUNCT
ejpam-6653	68	17	1	1	NUM
ejpam-6653	68	18	)	)	PUNCT
ejpam-6653	68	19	,	,	PUNCT
ejpam-6653	68	20	w.	w.	PROPN
ejpam-6653	68	21	r.	r.	PROPN
ejpam-6653	68	22	t	t	PROPN
ejpam-6653	69	1	θ	θ	PROPN
ejpam-6653	69	2	d	d	X
ejpam-6653	69	3	dx	dx	PROPN
ejpam-6653	69	4	f(x	f(x	PROPN
ejpam-6653	69	5	;	;	PUNCT
ejpam-6653	69	6	θ	θ	X
ejpam-6653	69	7	)	)	PUNCT
ejpam-6653	69	8	=	=	SYM
ejpam-6653	69	9	θ3	θ3	NOUN
ejpam-6653	69	10	1	1	NUM
ejpam-6653	69	11	+	+	NUM
ejpam-6653	69	12	θ	θ	X
ejpam-6653	70	1	[	[	X
ejpam-6653	70	2	1	1	NUM
ejpam-6653	70	3	+	+	NUM
ejpam-6653	70	4	x−	x−	PROPN
ejpam-6653	70	5	θx(1	θx(1	PROPN
ejpam-6653	70	6	+	+	NOUN
ejpam-6653	70	7	x/2	x/2	NUM
ejpam-6653	70	8	)	)	PUNCT
ejpam-6653	70	9	]	]	PUNCT
ejpam-6653	71	1	e−θx	e−θx	PROPN
ejpam-6653	71	2	(	(	PUNCT
ejpam-6653	71	3	3	3	X
ejpam-6653	71	4	)	)	PUNCT
ejpam-6653	71	5	we	we	PRON
ejpam-6653	71	6	observe	observe	VERB
ejpam-6653	71	7	that	that	SCONJ
ejpam-6653	71	8	for	for	ADP
ejpam-6653	71	9	θ	θ	PROPN
ejpam-6653	71	10	<	<	X
ejpam-6653	71	11	1	1	NUM
ejpam-6653	71	12	,	,	PUNCT
ejpam-6653	71	13	(	(	PUNCT
ejpam-6653	71	14	1−	1−	NUM
ejpam-6653	71	15	θ	θ	NOUN
ejpam-6653	71	16	)	)	PUNCT
ejpam-6653	72	1	+	+	CCONJ
ejpam-6653	72	2	√	√	ADJ
ejpam-6653	72	3	θ2	θ2	ADV
ejpam-6653	72	4	+	+	CCONJ
ejpam-6653	72	5	1	1	NUM
ejpam-6653	72	6	θ	θ	NOUN
ejpam-6653	72	7	is	be	AUX
ejpam-6653	72	8	the	the	DET
ejpam-6653	72	9	unique	unique	ADJ
ejpam-6653	72	10	critical	critical	ADJ
ejpam-6653	72	11	point	point	NOUN
ejpam-6653	72	12	for	for	ADP
ejpam-6653	72	13	which	which	PRON
ejpam-6653	72	14	f(x	f(x	PROPN
ejpam-6653	72	15	)	)	PUNCT
ejpam-6653	72	16	is	be	AUX
ejpam-6653	72	17	maximized	maximize	VERB
ejpam-6653	72	18	.	.	PUNCT
ejpam-6653	73	1	and	and	CCONJ
ejpam-6653	73	2	for	for	ADP
ejpam-6653	73	3	θ	θ	PROPN
ejpam-6653	73	4	>	>	X
ejpam-6653	73	5	1	1	NUM
ejpam-6653	73	6	,	,	PUNCT
ejpam-6653	73	7	f(x	f(x	PROPN
ejpam-6653	73	8	)	)	PUNCT
ejpam-6653	73	9	is	be	AUX
ejpam-6653	73	10	decreasing	decrease	VERB
ejpam-6653	73	11	.	.	PUNCT
ejpam-6653	74	1	m.	m.	PROPN
ejpam-6653	74	2	i.	i.	PROPN
ejpam-6653	74	3	khan	khan	PROPN
ejpam-6653	74	4	,	,	PUNCT
ejpam-6653	74	5	m.	m.	PROPN
ejpam-6653	74	6	k.	k.	PROPN
ejpam-6653	74	7	ruidas	ruidas	PROPN
ejpam-6653	74	8	/	/	SYM
ejpam-6653	74	9	eur	eur	PROPN
ejpam-6653	74	10	.	.	PUNCT
ejpam-6653	75	1	j.	j.	PROPN
ejpam-6653	75	2	pure	pure	PROPN
ejpam-6653	75	3	appl	appl	PROPN
ejpam-6653	75	4	.	.	PROPN
ejpam-6653	75	5	math	math	PROPN
ejpam-6653	75	6	,	,	PUNCT
ejpam-6653	75	7	18	18	NUM
ejpam-6653	75	8	(	(	PUNCT
ejpam-6653	75	9	4	4	NUM
ejpam-6653	75	10	)	)	PUNCT
ejpam-6653	75	11	(	(	PUNCT
ejpam-6653	75	12	2025	2025	NUM
ejpam-6653	75	13	)	)	PUNCT
ejpam-6653	75	14	,	,	PUNCT
ejpam-6653	75	15	6653	6653	NUM
ejpam-6653	75	16	4	4	NUM
ejpam-6653	75	17	of	of	ADP
ejpam-6653	75	18	22	22	NUM
ejpam-6653	75	19	0	0	NUM
ejpam-6653	75	20	2	2	NUM
ejpam-6653	75	21	4	4	NUM
ejpam-6653	75	22	6	6	NUM
ejpam-6653	75	23	8	8	NUM
ejpam-6653	75	24	10	10	NUM
ejpam-6653	75	25	0.0	0.0	NUM
ejpam-6653	75	26	0.2	0.2	NUM
ejpam-6653	75	27	0.4	0.4	NUM
ejpam-6653	75	28	0.6	0.6	NUM
ejpam-6653	75	29	0.8	0.8	NUM
ejpam-6653	75	30	1.0	1.0	NUM
ejpam-6653	75	31	plot	plot	NOUN
ejpam-6653	75	32	of	of	ADP
ejpam-6653	75	33	cdf	cdf	PROPN
ejpam-6653	75	34	of	of	ADP
ejpam-6653	75	35	mgamma	mgamma	PROPN
ejpam-6653	75	36	distribution	distribution	NOUN
ejpam-6653	75	37	x	x	X
ejpam-6653	75	38	f(x	f(x	PROPN
ejpam-6653	75	39	)	)	PUNCT
ejpam-6653	76	1	θ	θ	X
ejpam-6653	77	1	=	=	PUNCT
ejpam-6653	77	2	0.5	0.5	NUM
ejpam-6653	77	3	θ	θ	NOUN
ejpam-6653	77	4	=	=	PUNCT
ejpam-6653	77	5	0.8	0.8	NUM
ejpam-6653	77	6	θ	θ	NOUN
ejpam-6653	77	7	=	=	SYM
ejpam-6653	77	8	1	1	NUM
ejpam-6653	77	9	θ	θ	NOUN
ejpam-6653	77	10	=	=	SYM
ejpam-6653	77	11	3	3	NUM
ejpam-6653	77	12	θ	θ	NOUN
ejpam-6653	77	13	=	=	SYM
ejpam-6653	77	14	5	5	NUM
ejpam-6653	77	15	figure	figure	NOUN
ejpam-6653	77	16	2	2	NUM
ejpam-6653	77	17	:	:	PUNCT
ejpam-6653	77	18	c.d.f	c.d.f	ADJ
ejpam-6653	77	19	.	.	PUNCT
ejpam-6653	77	20	plot	plot	NOUN
ejpam-6653	77	21	of	of	ADP
ejpam-6653	77	22	mgamma	mgamma	ADJ
ejpam-6653	77	23	distribution	distribution	NOUN
ejpam-6653	77	24	for	for	ADP
ejpam-6653	77	25	different	different	ADJ
ejpam-6653	77	26	θ	θ	NOUN
ejpam-6653	78	1	so	so	ADV
ejpam-6653	78	2	,	,	PUNCT
ejpam-6653	78	3	the	the	DET
ejpam-6653	78	4	mode(x	mode(x	NOUN
ejpam-6653	78	5	)	)	PUNCT
ejpam-6653	78	6	of	of	ADP
ejpam-6653	78	7	the	the	DET
ejpam-6653	78	8	new	new	ADJ
ejpam-6653	78	9	distribution	distribution	NOUN
ejpam-6653	78	10	is	be	AUX
ejpam-6653	78	11	given	give	VERB
ejpam-6653	78	12	by	by	ADP
ejpam-6653	78	13	mode(x	mode(x	PROPN
ejpam-6653	78	14	)	)	PUNCT
ejpam-6653	78	15	=	=	PUNCT
ejpam-6653	78	16	(	(	PUNCT
ejpam-6653	78	17	1−	1−	NUM
ejpam-6653	78	18	θ	θ	NOUN
ejpam-6653	78	19	)	)	PUNCT
ejpam-6653	79	1	+	+	CCONJ
ejpam-6653	79	2	√	√	ADJ
ejpam-6653	79	3	θ2	θ2	ADV
ejpam-6653	79	4	+	+	CCONJ
ejpam-6653	79	5	1	1	NUM
ejpam-6653	79	6	θ	θ	NOUN
ejpam-6653	79	7	;	;	PUNCT
ejpam-6653	79	8	θ	θ	X
ejpam-6653	79	9	<	<	X
ejpam-6653	79	10	1	1	NUM
ejpam-6653	79	11	(	(	PUNCT
ejpam-6653	79	12	4	4	NUM
ejpam-6653	79	13	)	)	PUNCT
ejpam-6653	79	14	remark	remark	NOUN
ejpam-6653	79	15	1	1	NUM
ejpam-6653	79	16	.	.	PUNCT
ejpam-6653	80	1	from	from	ADP
ejpam-6653	80	2	the	the	DET
ejpam-6653	80	3	above	above	NOUN
ejpam-6653	80	4	it	it	PRON
ejpam-6653	80	5	is	be	AUX
ejpam-6653	80	6	seen	see	VERB
ejpam-6653	80	7	that	that	SCONJ
ejpam-6653	80	8	mode(x	mode(x	NOUN
ejpam-6653	80	9	)	)	PUNCT
ejpam-6653	80	10	<	<	X
ejpam-6653	80	11	median(x	median(x	PROPN
ejpam-6653	80	12	)	)	PUNCT
ejpam-6653	80	13	<	<	X
ejpam-6653	80	14	mean(x	mean(x	X
ejpam-6653	80	15	)	)	PUNCT
ejpam-6653	80	16	which	which	PRON
ejpam-6653	80	17	is	be	AUX
ejpam-6653	80	18	same	same	ADJ
ejpam-6653	80	19	as	as	ADP
ejpam-6653	80	20	in	in	ADP
ejpam-6653	80	21	the	the	DET
ejpam-6653	80	22	xgamma	xgamma	NOUN
ejpam-6653	80	23	and	and	CCONJ
ejpam-6653	80	24	exponential	exponential	ADJ
ejpam-6653	80	25	distribution	distribution	NOUN
ejpam-6653	80	26	.	.	PUNCT
ejpam-6653	81	1	we	we	PRON
ejpam-6653	81	2	get	get	VERB
ejpam-6653	81	3	value	value	NOUN
ejpam-6653	81	4	of	of	ADP
ejpam-6653	81	5	mode	mode	NOUN
ejpam-6653	81	6	for	for	ADP
ejpam-6653	81	7	different	different	ADJ
ejpam-6653	81	8	values	value	NOUN
ejpam-6653	81	9	of	of	ADP
ejpam-6653	81	10	θ	θ	PROPN
ejpam-6653	81	11	4	4	NUM
ejpam-6653	81	12	.	.	PUNCT
ejpam-6653	81	13	moments	moment	NOUN
ejpam-6653	81	14	and	and	CCONJ
ejpam-6653	81	15	related	related	ADJ
ejpam-6653	81	16	measures	measure	NOUN
ejpam-6653	81	17	let	let	VERB
ejpam-6653	81	18	x	x	PUNCT
ejpam-6653	81	19	∼	∼	VERB
ejpam-6653	81	20	mgamma(θ	mgamma(θ	PROPN
ejpam-6653	81	21	)	)	PUNCT
ejpam-6653	81	22	,	,	PUNCT
ejpam-6653	81	23	then	then	ADV
ejpam-6653	81	24	the	the	DET
ejpam-6653	81	25	kth	kth	PROPN
ejpam-6653	81	26	raw	raw	ADJ
ejpam-6653	81	27	moment	moment	NOUN
ejpam-6653	81	28	is	be	AUX
ejpam-6653	81	29	given	give	VERB
ejpam-6653	81	30	by	by	ADP
ejpam-6653	81	31	e(xk	e(xk	NOUN
ejpam-6653	81	32	)	)	PUNCT
ejpam-6653	81	33	=	=	SYM
ejpam-6653	82	1	∫	∫	PROPN
ejpam-6653	82	2	∞	∞	PROPN
ejpam-6653	82	3	0	0	NUM
ejpam-6653	83	1	xk	xk	PROPN
ejpam-6653	83	2	θ3x	θ3x	PROPN
ejpam-6653	83	3	(	(	PUNCT
ejpam-6653	83	4	1	1	NUM
ejpam-6653	83	5	+	+	CCONJ
ejpam-6653	83	6	x	x	SYM
ejpam-6653	83	7	2	2	X
ejpam-6653	83	8	)	)	PUNCT
ejpam-6653	83	9	e−θx	e−θx	PROPN
ejpam-6653	83	10	θ	θ	PROPN
ejpam-6653	84	1	+	+	PUNCT
ejpam-6653	84	2	1	1	NUM
ejpam-6653	84	3	dx	dx	NOUN
ejpam-6653	84	4	.	.	PUNCT
ejpam-6653	85	1	=	=	PUNCT
ejpam-6653	85	2	θ3	θ3	PROPN
ejpam-6653	85	3	θ	θ	PROPN
ejpam-6653	85	4	+	+	CCONJ
ejpam-6653	85	5	1	1	NUM
ejpam-6653	85	6	∫	∫	NOUN
ejpam-6653	85	7	∞	∞	NUM
ejpam-6653	85	8	0	0	NUM
ejpam-6653	85	9	xk+1	xk+1	PROPN
ejpam-6653	86	1	(	(	PUNCT
ejpam-6653	86	2	1	1	NUM
ejpam-6653	86	3	+	+	CCONJ
ejpam-6653	86	4	x	x	SYM
ejpam-6653	86	5	2	2	X
ejpam-6653	86	6	)	)	PUNCT
ejpam-6653	86	7	e−θx	e−θx	PROPN
ejpam-6653	86	8	dx	dx	PROPN
ejpam-6653	86	9	=	=	SYM
ejpam-6653	86	10	θ3	θ3	PROPN
ejpam-6653	86	11	θ	θ	PROPN
ejpam-6653	87	1	+	+	CCONJ
ejpam-6653	87	2	1	1	NUM
ejpam-6653	88	1	[	[	X
ejpam-6653	88	2	∫	∫	X
ejpam-6653	88	3	∞	∞	NOUN
ejpam-6653	88	4	0	0	NUM
ejpam-6653	88	5	xk+1e−θx	xk+1e−θx	PROPN
ejpam-6653	88	6	dx+	dx+	NOUN
ejpam-6653	88	7	1	1	NUM
ejpam-6653	88	8	2	2	NUM
ejpam-6653	88	9	∫	∫	NOUN
ejpam-6653	88	10	∞	∞	PROPN
ejpam-6653	88	11	0	0	NUM
ejpam-6653	88	12	xk+2e−θx	xk+2e−θx	PROPN
ejpam-6653	88	13	dx	dx	X
ejpam-6653	88	14	]	]	PUNCT
ejpam-6653	89	1	=	=	PUNCT
ejpam-6653	89	2	θ3	θ3	PROPN
ejpam-6653	89	3	θ	θ	PROPN
ejpam-6653	90	1	+	+	CCONJ
ejpam-6653	90	2	1	1	NUM
ejpam-6653	90	3	[	[	PUNCT
ejpam-6653	90	4	γ(k	γ(k	NOUN
ejpam-6653	90	5	+	+	CCONJ
ejpam-6653	90	6	2	2	X
ejpam-6653	90	7	)	)	PUNCT
ejpam-6653	90	8	θk+2	θk+2	PROPN
ejpam-6653	90	9	+	+	CCONJ
ejpam-6653	90	10	1	1	NUM
ejpam-6653	90	11	2	2	NUM
ejpam-6653	90	12	γ(k	γ(k	NOUN
ejpam-6653	90	13	+	+	CCONJ
ejpam-6653	90	14	3	3	X
ejpam-6653	90	15	)	)	PUNCT
ejpam-6653	90	16	θk+3	θk+3	NUM
ejpam-6653	90	17	]	]	PUNCT
ejpam-6653	91	1	=	=	PUNCT
ejpam-6653	91	2	θ3	θ3	PROPN
ejpam-6653	91	3	θ	θ	PROPN
ejpam-6653	91	4	+	+	CCONJ
ejpam-6653	91	5	1	1	NUM
ejpam-6653	91	6	[	[	PUNCT
ejpam-6653	91	7	(	(	PUNCT
ejpam-6653	91	8	k	k	X
ejpam-6653	91	9	+	+	PROPN
ejpam-6653	91	10	1	1	NUM
ejpam-6653	91	11	)	)	PUNCT
ejpam-6653	91	12	!	!	PUNCT
ejpam-6653	92	1	θk+2	θk+2	PROPN
ejpam-6653	93	1	+	+	CCONJ
ejpam-6653	93	2	1	1	NUM
ejpam-6653	93	3	2	2	NUM
ejpam-6653	93	4	(	(	PUNCT
ejpam-6653	93	5	k	k	PROPN
ejpam-6653	93	6	+	+	PROPN
ejpam-6653	93	7	2)(k	2)(k	NUM
ejpam-6653	93	8	+	+	CCONJ
ejpam-6653	93	9	1	1	NUM
ejpam-6653	93	10	)	)	PUNCT
ejpam-6653	93	11	!	!	PUNCT
ejpam-6653	94	1	θk+3	θk+3	X
ejpam-6653	94	2	]	]	PUNCT
ejpam-6653	95	1	=	=	PUNCT
ejpam-6653	95	2	θ3(k	θ3(k	PUNCT
ejpam-6653	95	3	+	+	NOUN
ejpam-6653	95	4	1	1	NUM
ejpam-6653	95	5	)	)	PUNCT
ejpam-6653	95	6	!	!	PUNCT
ejpam-6653	96	1	θk+3(θ	θk+3(θ	NOUN
ejpam-6653	96	2	+	+	CCONJ
ejpam-6653	96	3	1	1	X
ejpam-6653	96	4	)	)	PUNCT
ejpam-6653	96	5	[	[	PUNCT
ejpam-6653	96	6	θ	θ	X
ejpam-6653	96	7	+	+	PUNCT
ejpam-6653	96	8	k+2	k+2	PROPN
ejpam-6653	96	9	2	2	NUM
ejpam-6653	96	10	]	]	PUNCT
ejpam-6653	96	11	m.	m.	PROPN
ejpam-6653	96	12	i.	i.	PROPN
ejpam-6653	96	13	khan	khan	PROPN
ejpam-6653	96	14	,	,	PUNCT
ejpam-6653	96	15	m.	m.	PROPN
ejpam-6653	96	16	k.	k.	PROPN
ejpam-6653	96	17	ruidas	ruidas	PROPN
ejpam-6653	96	18	/	/	SYM
ejpam-6653	96	19	eur	eur	PROPN
ejpam-6653	96	20	.	.	PUNCT
ejpam-6653	97	1	j.	j.	PROPN
ejpam-6653	97	2	pure	pure	PROPN
ejpam-6653	97	3	appl	appl	PROPN
ejpam-6653	97	4	.	.	PROPN
ejpam-6653	97	5	math	math	PROPN
ejpam-6653	97	6	,	,	PUNCT
ejpam-6653	97	7	18	18	NUM
ejpam-6653	97	8	(	(	PUNCT
ejpam-6653	97	9	4	4	NUM
ejpam-6653	97	10	)	)	PUNCT
ejpam-6653	97	11	(	(	PUNCT
ejpam-6653	97	12	2025	2025	NUM
ejpam-6653	97	13	)	)	PUNCT
ejpam-6653	97	14	,	,	PUNCT
ejpam-6653	97	15	6653	6653	NUM
ejpam-6653	97	16	5	5	NUM
ejpam-6653	97	17	of	of	ADP
ejpam-6653	97	18	22	22	NUM
ejpam-6653	97	19	=	=	SYM
ejpam-6653	97	20	(	(	PUNCT
ejpam-6653	97	21	k	k	X
ejpam-6653	97	22	+	+	PROPN
ejpam-6653	97	23	1	1	NUM
ejpam-6653	97	24	)	)	PUNCT
ejpam-6653	97	25	!	!	PUNCT
ejpam-6653	97	26	θk(θ	θk(θ	NOUN
ejpam-6653	98	1	+	+	CCONJ
ejpam-6653	98	2	1	1	X
ejpam-6653	98	3	)	)	PUNCT
ejpam-6653	98	4	(	(	PUNCT
ejpam-6653	98	5	θ	θ	PROPN
ejpam-6653	99	1	+	+	CCONJ
ejpam-6653	99	2	k	k	X
ejpam-6653	99	3	+	+	CCONJ
ejpam-6653	99	4	2	2	NUM
ejpam-6653	99	5	2	2	NUM
ejpam-6653	99	6	)	)	PUNCT
ejpam-6653	99	7	.	.	PUNCT
ejpam-6653	100	1	(	(	PUNCT
ejpam-6653	100	2	5	5	NUM
ejpam-6653	100	3	)	)	PUNCT
ejpam-6653	100	4	thus	thus	ADV
ejpam-6653	100	5	,	,	PUNCT
ejpam-6653	100	6	the	the	DET
ejpam-6653	100	7	kth	kth	PROPN
ejpam-6653	100	8	order	order	NOUN
ejpam-6653	100	9	raw	raw	ADJ
ejpam-6653	100	10	moment	moment	NOUN
ejpam-6653	100	11	is	be	AUX
ejpam-6653	100	12	given	give	VERB
ejpam-6653	100	13	by	by	ADP
ejpam-6653	100	14	e(xk	e(xk	NOUN
ejpam-6653	100	15	)	)	PUNCT
ejpam-6653	100	16	=	=	SYM
ejpam-6653	101	1	(	(	PUNCT
ejpam-6653	101	2	k	k	X
ejpam-6653	101	3	+	+	PROPN
ejpam-6653	101	4	1	1	NUM
ejpam-6653	101	5	)	)	PUNCT
ejpam-6653	101	6	!	!	PUNCT
ejpam-6653	101	7	θk(θ	θk(θ	NOUN
ejpam-6653	102	1	+	+	CCONJ
ejpam-6653	102	2	1	1	X
ejpam-6653	102	3	)	)	PUNCT
ejpam-6653	102	4	(	(	PUNCT
ejpam-6653	102	5	θ	θ	PROPN
ejpam-6653	102	6	+	+	CCONJ
ejpam-6653	102	7	k	k	PROPN
ejpam-6653	102	8	2	2	NUM
ejpam-6653	102	9	+	+	NUM
ejpam-6653	102	10	1	1	NUM
ejpam-6653	102	11	)	)	PUNCT
ejpam-6653	102	12	,	,	PUNCT
ejpam-6653	103	1	θ	θ	PROPN
ejpam-6653	103	2	>	>	X
ejpam-6653	103	3	0	0	PROPN
ejpam-6653	103	4	,	,	PUNCT
ejpam-6653	103	5	k	k	PROPN
ejpam-6653	103	6	>	>	X
ejpam-6653	103	7	−2	−2	PROPN
ejpam-6653	103	8	.	.	PUNCT
ejpam-6653	104	1	therefore	therefore	ADV
ejpam-6653	104	2	putting	put	VERB
ejpam-6653	104	3	k	k	X
ejpam-6653	104	4	=	=	SYM
ejpam-6653	104	5	1	1	NUM
ejpam-6653	104	6	,	,	PUNCT
ejpam-6653	104	7	2	2	NUM
ejpam-6653	104	8	,	,	PUNCT
ejpam-6653	104	9	3	3	NUM
ejpam-6653	104	10	and	and	CCONJ
ejpam-6653	104	11	4	4	NUM
ejpam-6653	104	12	,	,	PUNCT
ejpam-6653	104	13	we	we	PRON
ejpam-6653	104	14	get	get	VERB
ejpam-6653	104	15	the	the	DET
ejpam-6653	104	16	first	first	ADJ
ejpam-6653	104	17	,	,	PUNCT
ejpam-6653	104	18	second	second	ADJ
ejpam-6653	104	19	,	,	PUNCT
ejpam-6653	104	20	third	third	ADJ
ejpam-6653	104	21	and	and	CCONJ
ejpam-6653	104	22	fourth	fourth	ADJ
ejpam-6653	104	23	order	order	NOUN
ejpam-6653	104	24	moments	moment	NOUN
ejpam-6653	104	25	about	about	ADP
ejpam-6653	104	26	the	the	DET
ejpam-6653	104	27	origin	origin	NOUN
ejpam-6653	104	28	as	as	ADP
ejpam-6653	104	29	:	:	PUNCT
ejpam-6653	104	30	µ1	µ1	NOUN
ejpam-6653	104	31	′	′	NOUN
ejpam-6653	104	32	=	=	SYM
ejpam-6653	104	33	3	3	NUM
ejpam-6653	104	34	+	+	NUM
ejpam-6653	104	35	2θ	2θ	NUM
ejpam-6653	104	36	θ(1	θ(1	PROPN
ejpam-6653	104	37	+	+	NUM
ejpam-6653	104	38	θ	θ	NOUN
ejpam-6653	104	39	)	)	PUNCT
ejpam-6653	104	40	=	=	SYM
ejpam-6653	104	41	mean(x	mean(x	PROPN
ejpam-6653	104	42	)	)	PUNCT
ejpam-6653	104	43	,	,	PUNCT
ejpam-6653	104	44	µ2	µ2	PROPN
ejpam-6653	104	45	′	′	NUM
ejpam-6653	104	46	=	=	PUNCT
ejpam-6653	104	47	6(2	6(2	NUM
ejpam-6653	104	48	+	+	NUM
ejpam-6653	104	49	θ	θ	NOUN
ejpam-6653	104	50	)	)	PUNCT
ejpam-6653	104	51	θ2(1	θ2(1	NOUN
ejpam-6653	104	52	+	+	CCONJ
ejpam-6653	104	53	θ	θ	NOUN
ejpam-6653	104	54	)	)	PUNCT
ejpam-6653	104	55	,	,	PUNCT
ejpam-6653	104	56	µ3	µ3	NOUN
ejpam-6653	105	1	′	′	NUM
ejpam-6653	105	2	=	=	PUNCT
ejpam-6653	105	3	12(5	12(5	NUM
ejpam-6653	105	4	+	+	NUM
ejpam-6653	105	5	2θ	2θ	NUM
ejpam-6653	105	6	)	)	PUNCT
ejpam-6653	105	7	θ3(1	θ3(1	NOUN
ejpam-6653	105	8	+	+	CCONJ
ejpam-6653	105	9	θ	θ	NOUN
ejpam-6653	105	10	)	)	PUNCT
ejpam-6653	105	11	and	and	CCONJ
ejpam-6653	105	12	µ4	µ4	PROPN
ejpam-6653	105	13	′	′	NUM
ejpam-6653	105	14	=	=	SYM
ejpam-6653	105	15	120(3	120(3	NUM
ejpam-6653	105	16	+	+	CCONJ
ejpam-6653	105	17	θ	θ	NOUN
ejpam-6653	105	18	)	)	PUNCT
ejpam-6653	105	19	θ4(1	θ4(1	NOUN
ejpam-6653	105	20	+	+	CCONJ
ejpam-6653	105	21	θ	θ	NOUN
ejpam-6653	105	22	)	)	PUNCT
ejpam-6653	105	23	.	.	PUNCT
ejpam-6653	106	1	the	the	DET
ejpam-6653	106	2	variance	variance	NOUN
ejpam-6653	106	3	is	be	AUX
ejpam-6653	106	4	given	give	VERB
ejpam-6653	106	5	by	by	ADP
ejpam-6653	106	6	µ2	µ2	PROPN
ejpam-6653	106	7	=	=	PROPN
ejpam-6653	106	8	var(x	var(x	PROPN
ejpam-6653	106	9	)	)	PUNCT
ejpam-6653	106	10	=	=	PUNCT
ejpam-6653	107	1	e(x2)−	e(x2)−	NOUN
ejpam-6653	107	2	(	(	PUNCT
ejpam-6653	107	3	e(x	e(x	NUM
ejpam-6653	107	4	)	)	PUNCT
ejpam-6653	107	5	)	)	PUNCT
ejpam-6653	107	6	2	2	NUM
ejpam-6653	107	7	=	=	SYM
ejpam-6653	107	8	6(θ	6(θ	NUM
ejpam-6653	107	9	+	+	CCONJ
ejpam-6653	107	10	2	2	X
ejpam-6653	107	11	)	)	PUNCT
ejpam-6653	107	12	θ2(θ	θ2(θ	PUNCT
ejpam-6653	108	1	+	+	NOUN
ejpam-6653	108	2	1	1	NUM
ejpam-6653	108	3	)	)	PUNCT
ejpam-6653	108	4	−	−	PROPN
ejpam-6653	108	5	(	(	PUNCT
ejpam-6653	108	6	2θ	2θ	NUM
ejpam-6653	108	7	+	+	SYM
ejpam-6653	108	8	3	3	NUM
ejpam-6653	108	9	θ(θ	θ(θ	VERB
ejpam-6653	108	10	+	+	CCONJ
ejpam-6653	108	11	1	1	NUM
ejpam-6653	108	12	)	)	PUNCT
ejpam-6653	108	13	)	)	PUNCT
ejpam-6653	108	14	2	2	NUM
ejpam-6653	109	1	=	=	SYM
ejpam-6653	109	2	6(θ	6(θ	NUM
ejpam-6653	109	3	+	+	CCONJ
ejpam-6653	109	4	2	2	X
ejpam-6653	109	5	)	)	PUNCT
ejpam-6653	109	6	θ2(θ	θ2(θ	PUNCT
ejpam-6653	110	1	+	+	NOUN
ejpam-6653	110	2	1	1	NUM
ejpam-6653	110	3	)	)	PUNCT
ejpam-6653	110	4	−	−	PROPN
ejpam-6653	110	5	(	(	PUNCT
ejpam-6653	110	6	2θ	2θ	NUM
ejpam-6653	111	1	+	+	CCONJ
ejpam-6653	111	2	3)2	3)2	NUM
ejpam-6653	111	3	θ2(θ	θ2(θ	SYM
ejpam-6653	111	4	+	+	NUM
ejpam-6653	111	5	1)2	1)2	NUM
ejpam-6653	111	6	=	=	SYM
ejpam-6653	111	7	6(θ	6(θ	NUM
ejpam-6653	112	1	+	+	CCONJ
ejpam-6653	112	2	2)(θ	2)(θ	NUM
ejpam-6653	112	3	+	+	CCONJ
ejpam-6653	112	4	1	1	NUM
ejpam-6653	112	5	)	)	PUNCT
ejpam-6653	113	1	θ2(θ	θ2(θ	PROPN
ejpam-6653	114	1	+	+	NUM
ejpam-6653	114	2	1)2	1)2	NUM
ejpam-6653	114	3	−	−	NOUN
ejpam-6653	114	4	(	(	PUNCT
ejpam-6653	114	5	2θ	2θ	NUM
ejpam-6653	115	1	+	+	CCONJ
ejpam-6653	115	2	3)2	3)2	NUM
ejpam-6653	115	3	θ2(θ	θ2(θ	SYM
ejpam-6653	115	4	+	+	NUM
ejpam-6653	115	5	1)2	1)2	NUM
ejpam-6653	115	6	=	=	SYM
ejpam-6653	115	7	6(θ	6(θ	NUM
ejpam-6653	116	1	+	+	CCONJ
ejpam-6653	116	2	2)(θ	2)(θ	PROPN
ejpam-6653	116	3	+	+	SYM
ejpam-6653	116	4	1)−	1)−	PROPN
ejpam-6653	116	5	(	(	PUNCT
ejpam-6653	116	6	2θ	2θ	NUM
ejpam-6653	117	1	+	+	CCONJ
ejpam-6653	117	2	3)2	3)2	NUM
ejpam-6653	117	3	θ2(θ	θ2(θ	SYM
ejpam-6653	117	4	+	+	CCONJ
ejpam-6653	117	5	1)2	1)2	NUM
ejpam-6653	117	6	=	=	SYM
ejpam-6653	117	7	6(θ2	6(θ2	NUM
ejpam-6653	117	8	+	+	NUM
ejpam-6653	117	9	3θ	3θ	NUM
ejpam-6653	117	10	+	+	SYM
ejpam-6653	117	11	2)−	2)−	NUM
ejpam-6653	117	12	(	(	PUNCT
ejpam-6653	117	13	4θ2	4θ2	NUM
ejpam-6653	117	14	+	+	SYM
ejpam-6653	117	15	12θ	12θ	NUM
ejpam-6653	117	16	+	+	CCONJ
ejpam-6653	117	17	9	9	NUM
ejpam-6653	117	18	)	)	PUNCT
ejpam-6653	117	19	θ2(θ	θ2(θ	PROPN
ejpam-6653	118	1	+	+	NUM
ejpam-6653	118	2	1)2	1)2	NUM
ejpam-6653	118	3	=	=	SYM
ejpam-6653	118	4	6θ2	6θ2	NUM
ejpam-6653	118	5	+	+	NUM
ejpam-6653	118	6	18θ	18θ	NOUN
ejpam-6653	118	7	+	+	CCONJ
ejpam-6653	118	8	12−	12−	NUM
ejpam-6653	118	9	4θ2	4θ2	NUM
ejpam-6653	118	10	−	−	PROPN
ejpam-6653	118	11	12θ	12θ	PROPN
ejpam-6653	118	12	−	−	PROPN
ejpam-6653	118	13	9	9	NUM
ejpam-6653	118	14	θ2(θ	θ2(θ	NOUN
ejpam-6653	118	15	+	+	CCONJ
ejpam-6653	118	16	1)2	1)2	NUM
ejpam-6653	118	17	=	=	SYM
ejpam-6653	118	18	2θ2	2θ2	NUM
ejpam-6653	118	19	+	+	NUM
ejpam-6653	118	20	6θ	6θ	NOUN
ejpam-6653	119	1	+	+	CCONJ
ejpam-6653	119	2	3	3	NUM
ejpam-6653	119	3	θ2(θ	θ2(θ	NOUN
ejpam-6653	119	4	+	+	NOUN
ejpam-6653	119	5	1)2	1)2	NUM
ejpam-6653	119	6	.	.	PUNCT
ejpam-6653	120	1	m.	m.	PROPN
ejpam-6653	120	2	i.	i.	PROPN
ejpam-6653	120	3	khan	khan	PROPN
ejpam-6653	120	4	,	,	PUNCT
ejpam-6653	120	5	m.	m.	PROPN
ejpam-6653	120	6	k.	k.	PROPN
ejpam-6653	120	7	ruidas	ruidas	PROPN
ejpam-6653	120	8	/	/	SYM
ejpam-6653	120	9	eur	eur	PROPN
ejpam-6653	120	10	.	.	PUNCT
ejpam-6653	121	1	j.	j.	PROPN
ejpam-6653	121	2	pure	pure	PROPN
ejpam-6653	121	3	appl	appl	PROPN
ejpam-6653	121	4	.	.	PROPN
ejpam-6653	121	5	math	math	PROPN
ejpam-6653	121	6	,	,	PUNCT
ejpam-6653	121	7	18	18	NUM
ejpam-6653	121	8	(	(	PUNCT
ejpam-6653	121	9	4	4	NUM
ejpam-6653	121	10	)	)	PUNCT
ejpam-6653	121	11	(	(	PUNCT
ejpam-6653	121	12	2025	2025	NUM
ejpam-6653	121	13	)	)	PUNCT
ejpam-6653	121	14	,	,	PUNCT
ejpam-6653	121	15	6653	6653	NUM
ejpam-6653	121	16	6	6	NUM
ejpam-6653	121	17	of	of	ADP
ejpam-6653	121	18	22	22	NUM
ejpam-6653	121	19	µ3	µ3	NOUN
ejpam-6653	121	20	=	=	PUNCT
ejpam-6653	121	21	e(x3)−	e(x3)−	PROPN
ejpam-6653	121	22	3e(x)e(x2	3e(x)e(x2	NOUN
ejpam-6653	121	23	)	)	PUNCT
ejpam-6653	122	1	+	+	CCONJ
ejpam-6653	123	1	2(e(x))3	2(e(x))3	NUM
ejpam-6653	123	2	=	=	SYM
ejpam-6653	123	3	12(2θ	12(2θ	NUM
ejpam-6653	123	4	+	+	CCONJ
ejpam-6653	123	5	5	5	X
ejpam-6653	123	6	)	)	PUNCT
ejpam-6653	123	7	θ3(θ	θ3(θ	NOUN
ejpam-6653	123	8	+	+	NOUN
ejpam-6653	123	9	1	1	NUM
ejpam-6653	123	10	)	)	PUNCT
ejpam-6653	123	11	−	−	PROPN
ejpam-6653	123	12	3	3	NUM
ejpam-6653	123	13	·	·	SYM
ejpam-6653	123	14	2θ	2θ	NUM
ejpam-6653	123	15	+	+	CCONJ
ejpam-6653	123	16	3	3	NUM
ejpam-6653	123	17	θ(θ	θ(θ	VERB
ejpam-6653	123	18	+	+	NOUN
ejpam-6653	123	19	1	1	NUM
ejpam-6653	123	20	)	)	PUNCT
ejpam-6653	123	21	·	·	PUNCT
ejpam-6653	124	1	6(θ	6(θ	NUM
ejpam-6653	125	1	+	+	CCONJ
ejpam-6653	125	2	2	2	X
ejpam-6653	125	3	)	)	PUNCT
ejpam-6653	125	4	θ2(θ	θ2(θ	NOUN
ejpam-6653	126	1	+	+	NOUN
ejpam-6653	126	2	1	1	NUM
ejpam-6653	126	3	)	)	PUNCT
ejpam-6653	126	4	+	+	CCONJ
ejpam-6653	126	5	2	2	NUM
ejpam-6653	126	6	·	·	PUNCT
ejpam-6653	126	7	(	(	PUNCT
ejpam-6653	126	8	2θ	2θ	NUM
ejpam-6653	126	9	+	+	PUNCT
ejpam-6653	126	10	3)3	3)3	NUM
ejpam-6653	126	11	θ3(θ	θ3(θ	NOUN
ejpam-6653	126	12	+	+	NUM
ejpam-6653	127	1	1)3	1)3	PROPN
ejpam-6653	127	2	=	=	SYM
ejpam-6653	127	3	12(2θ	12(2θ	PROPN
ejpam-6653	128	1	+	+	NUM
ejpam-6653	128	2	5)(θ	5)(θ	NUM
ejpam-6653	129	1	+	+	CCONJ
ejpam-6653	129	2	1)2	1)2	NUM
ejpam-6653	129	3	−	−	PROPN
ejpam-6653	129	4	18(2θ	18(2θ	NUM
ejpam-6653	130	1	+	+	CCONJ
ejpam-6653	130	2	3)(θ	3)(θ	PROPN
ejpam-6653	130	3	+	+	NUM
ejpam-6653	130	4	2)(θ	2)(θ	NUM
ejpam-6653	130	5	+	+	CCONJ
ejpam-6653	130	6	1	1	NUM
ejpam-6653	130	7	)	)	PUNCT
ejpam-6653	130	8	+	+	NUM
ejpam-6653	130	9	2(2θ	2(2θ	NUM
ejpam-6653	130	10	+	+	CCONJ
ejpam-6653	130	11	3)3	3)3	NUM
ejpam-6653	130	12	θ3(θ	θ3(θ	NOUN
ejpam-6653	130	13	+	+	CCONJ
ejpam-6653	130	14	1)3	1)3	PROPN
ejpam-6653	130	15	=	=	SYM
ejpam-6653	130	16	2	2	NUM
ejpam-6653	130	17	(	(	PUNCT
ejpam-6653	130	18	2θ3	2θ3	NUM
ejpam-6653	130	19	+	+	NUM
ejpam-6653	130	20	9θ2	9θ2	NUM
ejpam-6653	130	21	+	+	NUM
ejpam-6653	130	22	9θ	9θ	NUM
ejpam-6653	130	23	+	+	CCONJ
ejpam-6653	130	24	3	3	X
ejpam-6653	130	25	)	)	PUNCT
ejpam-6653	130	26	θ3(θ	θ3(θ	NOUN
ejpam-6653	130	27	+	+	NUM
ejpam-6653	130	28	1)3	1)3	PROPN
ejpam-6653	130	29	µ4	µ4	PROPN
ejpam-6653	130	30	=	=	PUNCT
ejpam-6653	130	31	e(x4)−	e(x4)−	NOUN
ejpam-6653	130	32	4e(x3)e(x	4e(x3)e(x	NOUN
ejpam-6653	130	33	)	)	PUNCT
ejpam-6653	131	1	+	+	CCONJ
ejpam-6653	131	2	6(e(x2)e(x))−	6(e(x2)e(x))−	NUM
ejpam-6653	131	3	3e(x)4	3e(x)4	NUM
ejpam-6653	131	4	=	=	SYM
ejpam-6653	131	5	24θ4	24θ4	NUM
ejpam-6653	131	6	+	+	NUM
ejpam-6653	131	7	144θ3	144θ3	NUM
ejpam-6653	131	8	+	+	CCONJ
ejpam-6653	131	9	252θ2	252θ2	NUM
ejpam-6653	131	10	+	+	SYM
ejpam-6653	131	11	180θ	180θ	NOUN
ejpam-6653	131	12	+	+	CCONJ
ejpam-6653	131	13	45	45	NUM
ejpam-6653	131	14	θ4(1	θ4(1	NOUN
ejpam-6653	131	15	+	+	CCONJ
ejpam-6653	131	16	θ)4	θ)4	NOUN
ejpam-6653	131	17	again	again	ADV
ejpam-6653	131	18	,	,	PUNCT
ejpam-6653	131	19	putting	put	VERB
ejpam-6653	131	20	the	the	DET
ejpam-6653	131	21	value	value	NOUN
ejpam-6653	131	22	of	of	ADP
ejpam-6653	131	23	(	(	PUNCT
ejpam-6653	131	24	µ2	µ2	PROPN
ejpam-6653	131	25	)	)	PUNCT
ejpam-6653	131	26	and	and	CCONJ
ejpam-6653	131	27	(	(	PUNCT
ejpam-6653	131	28	µ4	µ4	PROPN
ejpam-6653	131	29	)	)	PUNCT
ejpam-6653	131	30	we	we	PRON
ejpam-6653	131	31	get	get	VERB
ejpam-6653	131	32	kurtosis	kurtosis	NOUN
ejpam-6653	131	33	(	(	PUNCT
ejpam-6653	131	34	γ2	γ2	ADJ
ejpam-6653	131	35	)	)	PUNCT
ejpam-6653	131	36	as	as	ADP
ejpam-6653	131	37	,	,	PUNCT
ejpam-6653	131	38	γ2	γ2	PROPN
ejpam-6653	131	39	=	=	PROPN
ejpam-6653	131	40	µ4	µ4	PROPN
ejpam-6653	131	41	µ2	µ2	PROPN
ejpam-6653	131	42	2	2	NUM
ejpam-6653	131	43	=	=	SYM
ejpam-6653	131	44	24θ4	24θ4	NUM
ejpam-6653	131	45	+	+	NUM
ejpam-6653	131	46	144θ3	144θ3	NUM
ejpam-6653	131	47	+	+	CCONJ
ejpam-6653	131	48	252θ2	252θ2	NUM
ejpam-6653	131	49	+	+	SYM
ejpam-6653	131	50	180θ	180θ	NOUN
ejpam-6653	131	51	+	+	CCONJ
ejpam-6653	131	52	45	45	NUM
ejpam-6653	131	53	θ4(θ	θ4(θ	PROPN
ejpam-6653	131	54	+	+	NUM
ejpam-6653	131	55	1)4	1)4	NUM
ejpam-6653	131	56	(	(	PUNCT
ejpam-6653	131	57	2θ2	2θ2	NUM
ejpam-6653	131	58	+	+	NUM
ejpam-6653	131	59	6θ	6θ	NOUN
ejpam-6653	132	1	+	+	CCONJ
ejpam-6653	132	2	3)2	3)2	NUM
ejpam-6653	132	3	θ4(θ	θ4(θ	X
ejpam-6653	132	4	+	+	CCONJ
ejpam-6653	132	5	1)4	1)4	NUM
ejpam-6653	132	6	=	=	NOUN
ejpam-6653	132	7	3(8θ4	3(8θ4	NOUN
ejpam-6653	133	1	+	+	CCONJ
ejpam-6653	133	2	48θ3	48θ3	NUM
ejpam-6653	133	3	+	+	NUM
ejpam-6653	133	4	84θ2	84θ2	NUM
ejpam-6653	133	5	+	+	NUM
ejpam-6653	133	6	60θ	60θ	NUM
ejpam-6653	133	7	+	+	CCONJ
ejpam-6653	133	8	15	15	NUM
ejpam-6653	133	9	)	)	PUNCT
ejpam-6653	133	10	4θ4	4θ4	NUM
ejpam-6653	134	1	+	+	CCONJ
ejpam-6653	134	2	24θ3	24θ3	NUM
ejpam-6653	134	3	+	+	CCONJ
ejpam-6653	134	4	48θ2	48θ2	NUM
ejpam-6653	134	5	+	+	NUM
ejpam-6653	134	6	36θ	36θ	NOUN
ejpam-6653	134	7	+	+	CCONJ
ejpam-6653	134	8	9	9	NUM
ejpam-6653	134	9	=	=	SYM
ejpam-6653	134	10	24θ4	24θ4	NUM
ejpam-6653	134	11	+	+	NUM
ejpam-6653	134	12	144θ3	144θ3	NUM
ejpam-6653	134	13	+	+	CCONJ
ejpam-6653	134	14	252θ2	252θ2	NUM
ejpam-6653	134	15	+	+	SYM
ejpam-6653	134	16	180θ	180θ	NOUN
ejpam-6653	134	17	+	+	CCONJ
ejpam-6653	134	18	45	45	NUM
ejpam-6653	134	19	(	(	PUNCT
ejpam-6653	134	20	2θ2	2θ2	NUM
ejpam-6653	134	21	+	+	NUM
ejpam-6653	134	22	6θ	6θ	NOUN
ejpam-6653	135	1	+	+	CCONJ
ejpam-6653	135	2	3)2	3)2	NUM
ejpam-6653	135	3	figure	figure	NOUN
ejpam-6653	135	4	3	3	NUM
ejpam-6653	135	5	:	:	PUNCT
ejpam-6653	135	6	the	the	DET
ejpam-6653	135	7	graph	graph	NOUN
ejpam-6653	135	8	of	of	ADP
ejpam-6653	135	9	kurtosis	kurtosis	NOUN
ejpam-6653	135	10	for	for	ADP
ejpam-6653	135	11	different	different	ADJ
ejpam-6653	135	12	θ	θ	PROPN
ejpam-6653	135	13	m.	m.	PROPN
ejpam-6653	135	14	i.	i.	PROPN
ejpam-6653	135	15	khan	khan	PROPN
ejpam-6653	135	16	,	,	PUNCT
ejpam-6653	135	17	m.	m.	PROPN
ejpam-6653	135	18	k.	k.	PROPN
ejpam-6653	135	19	ruidas	ruidas	PROPN
ejpam-6653	135	20	/	/	SYM
ejpam-6653	135	21	eur	eur	PROPN
ejpam-6653	135	22	.	.	PUNCT
ejpam-6653	136	1	j.	j.	PROPN
ejpam-6653	136	2	pure	pure	PROPN
ejpam-6653	136	3	appl	appl	PROPN
ejpam-6653	136	4	.	.	PROPN
ejpam-6653	136	5	math	math	PROPN
ejpam-6653	136	6	,	,	PUNCT
ejpam-6653	136	7	18	18	NUM
ejpam-6653	136	8	(	(	PUNCT
ejpam-6653	136	9	4	4	NUM
ejpam-6653	136	10	)	)	PUNCT
ejpam-6653	136	11	(	(	PUNCT
ejpam-6653	136	12	2025	2025	NUM
ejpam-6653	136	13	)	)	PUNCT
ejpam-6653	136	14	,	,	PUNCT
ejpam-6653	136	15	6653	6653	NUM
ejpam-6653	136	16	7	7	NUM
ejpam-6653	136	17	of	of	ADP
ejpam-6653	136	18	22	22	NUM
ejpam-6653	136	19	now	now	ADV
ejpam-6653	136	20	,	,	PUNCT
ejpam-6653	136	21	putting	put	VERB
ejpam-6653	136	22	the	the	DET
ejpam-6653	136	23	value	value	NOUN
ejpam-6653	136	24	of	of	ADP
ejpam-6653	136	25	(	(	PUNCT
ejpam-6653	136	26	µ2	µ2	PROPN
ejpam-6653	136	27	)	)	PUNCT
ejpam-6653	136	28	and	and	CCONJ
ejpam-6653	136	29	(	(	PUNCT
ejpam-6653	136	30	µ3	µ3	NUM
ejpam-6653	136	31	)	)	PUNCT
ejpam-6653	136	32	we	we	PRON
ejpam-6653	136	33	get	get	VERB
ejpam-6653	136	34	the	the	DET
ejpam-6653	136	35	value	value	NOUN
ejpam-6653	136	36	of	of	ADP
ejpam-6653	136	37	skewness	skewness	NOUN
ejpam-6653	136	38	(	(	PUNCT
ejpam-6653	136	39	γ1	γ1	PROPN
ejpam-6653	136	40	)	)	PUNCT
ejpam-6653	136	41	as	as	ADP
ejpam-6653	136	42	,	,	PUNCT
ejpam-6653	136	43	γ1	γ1	PROPN
ejpam-6653	136	44	=	=	SYM
ejpam-6653	136	45	µ3	µ3	PROPN
ejpam-6653	136	46	µ	µ	PROPN
ejpam-6653	136	47	3/2	3/2	NUM
ejpam-6653	136	48	2	2	NUM
ejpam-6653	136	49	=	=	SYM
ejpam-6653	136	50	2	2	NUM
ejpam-6653	136	51	(	(	PUNCT
ejpam-6653	136	52	2θ3	2θ3	NUM
ejpam-6653	136	53	+	+	NOUN
ejpam-6653	136	54	9θ2	9θ2	NUM
ejpam-6653	136	55	+	+	ADJ
ejpam-6653	136	56	9θ+3	9θ+3	NUM
ejpam-6653	136	57	)	)	PUNCT
ejpam-6653	137	1	θ3(θ+1)3	θ3(θ+1)3	PROPN
ejpam-6653	137	2	(	(	PUNCT
ejpam-6653	137	3	2θ2	2θ2	NOUN
ejpam-6653	137	4	+	+	ADJ
ejpam-6653	137	5	6θ+3)3/2	6θ+3)3/2	NUM
ejpam-6653	137	6	θ3(θ+1)3	θ3(θ+1)3	NOUN
ejpam-6653	137	7	=	=	SYM
ejpam-6653	137	8	2	2	NUM
ejpam-6653	137	9	(	(	PUNCT
ejpam-6653	137	10	2θ3	2θ3	NUM
ejpam-6653	137	11	+	+	NUM
ejpam-6653	137	12	9θ2	9θ2	NUM
ejpam-6653	137	13	+	+	NUM
ejpam-6653	137	14	9θ	9θ	NUM
ejpam-6653	137	15	+	+	CCONJ
ejpam-6653	137	16	3	3	NUM
ejpam-6653	137	17	)	)	PUNCT
ejpam-6653	137	18	(	(	PUNCT
ejpam-6653	137	19	2θ2	2θ2	NUM
ejpam-6653	137	20	+	+	NUM
ejpam-6653	137	21	6θ	6θ	NUM
ejpam-6653	138	1	+	+	X
ejpam-6653	138	2	3)3/2	3)3/2	ADJ
ejpam-6653	138	3	.	.	PUNCT
ejpam-6653	139	1	figure	figure	VERB
ejpam-6653	139	2	4	4	NUM
ejpam-6653	139	3	:	:	PUNCT
ejpam-6653	139	4	the	the	DET
ejpam-6653	139	5	graph	graph	NOUN
ejpam-6653	139	6	of	of	ADP
ejpam-6653	139	7	skewness	skewness	NOUN
ejpam-6653	139	8	for	for	ADP
ejpam-6653	139	9	different	different	ADJ
ejpam-6653	139	10	θ	θ	PROPN
ejpam-6653	139	11	m.	m.	PROPN
ejpam-6653	139	12	i.	i.	PROPN
ejpam-6653	139	13	khan	khan	PROPN
ejpam-6653	139	14	,	,	PUNCT
ejpam-6653	139	15	m.	m.	PROPN
ejpam-6653	139	16	k.	k.	PROPN
ejpam-6653	139	17	ruidas	ruidas	PROPN
ejpam-6653	139	18	/	/	SYM
ejpam-6653	139	19	eur	eur	PROPN
ejpam-6653	139	20	.	.	PUNCT
ejpam-6653	140	1	j.	j.	PROPN
ejpam-6653	140	2	pure	pure	PROPN
ejpam-6653	140	3	appl	appl	PROPN
ejpam-6653	140	4	.	.	PROPN
ejpam-6653	140	5	math	math	PROPN
ejpam-6653	140	6	,	,	PUNCT
ejpam-6653	140	7	18	18	NUM
ejpam-6653	140	8	(	(	PUNCT
ejpam-6653	140	9	4	4	NUM
ejpam-6653	140	10	)	)	PUNCT
ejpam-6653	140	11	(	(	PUNCT
ejpam-6653	140	12	2025	2025	NUM
ejpam-6653	140	13	)	)	PUNCT
ejpam-6653	140	14	,	,	PUNCT
ejpam-6653	140	15	6653	6653	NUM
ejpam-6653	140	16	8	8	NUM
ejpam-6653	140	17	of	of	ADP
ejpam-6653	140	18	22	22	NUM
ejpam-6653	140	19	from	from	ADP
ejpam-6653	140	20	the	the	DET
ejpam-6653	140	21	fig	fig	NOUN
ejpam-6653	140	22	.	.	PUNCT
ejpam-6653	141	1	3	3	NUM
ejpam-6653	141	2	and	and	CCONJ
ejpam-6653	141	3	fig	fig	NOUN
ejpam-6653	141	4	.	.	PUNCT
ejpam-6653	142	1	4	4	NUM
ejpam-6653	142	2	we	we	PRON
ejpam-6653	142	3	can	can	AUX
ejpam-6653	142	4	conclude	conclude	VERB
ejpam-6653	142	5	the	the	DET
ejpam-6653	142	6	following	follow	VERB
ejpam-6653	142	7	observations	observation	NOUN
ejpam-6653	142	8	,	,	PUNCT
ejpam-6653	142	9	•	•	ADP
ejpam-6653	142	10	as	as	SCONJ
ejpam-6653	142	11	the	the	DET
ejpam-6653	142	12	numerator	numerator	NOUN
ejpam-6653	142	13	and	and	CCONJ
ejpam-6653	142	14	denominator	denominator	NOUN
ejpam-6653	142	15	are	be	AUX
ejpam-6653	142	16	positive	positive	ADJ
ejpam-6653	142	17	for	for	ADP
ejpam-6653	142	18	all	all	DET
ejpam-6653	142	19	θ	θ	NOUN
ejpam-6653	142	20	>	>	X
ejpam-6653	142	21	0	0	PUNCT
ejpam-6653	143	1	in	in	ADP
ejpam-6653	143	2	(	(	PUNCT
ejpam-6653	143	3	γ1	γ1	PROPN
ejpam-6653	143	4	)	)	PUNCT
ejpam-6653	143	5	,	,	PUNCT
ejpam-6653	143	6	so	so	SCONJ
ejpam-6653	143	7	γ1	γ1	PROPN
ejpam-6653	143	8	>	>	X
ejpam-6653	143	9	0	0	NUM
ejpam-6653	143	10	i.e.	i.e.	X
ejpam-6653	143	11	the	the	DET
ejpam-6653	143	12	distribution	distribution	NOUN
ejpam-6653	143	13	is	be	AUX
ejpam-6653	143	14	right	right	ADV
ejpam-6653	143	15	-	-	PUNCT
ejpam-6653	143	16	skewed	skewed	ADJ
ejpam-6653	143	17	.	.	PUNCT
ejpam-6653	144	1	•	•	NUM
ejpam-6653	144	2	again	again	ADV
ejpam-6653	144	3	,	,	PUNCT
ejpam-6653	144	4	for	for	ADP
ejpam-6653	144	5	kurtosis	kurtosis	NOUN
ejpam-6653	144	6	,	,	PUNCT
ejpam-6653	144	7	we	we	PRON
ejpam-6653	144	8	found	find	VERB
ejpam-6653	144	9	that	that	SCONJ
ejpam-6653	144	10	(	(	PUNCT
ejpam-6653	144	11	γ2	γ2	NOUN
ejpam-6653	144	12	>	>	X
ejpam-6653	144	13	3	3	NUM
ejpam-6653	144	14	)	)	PUNCT
ejpam-6653	144	15	,	,	PUNCT
ejpam-6653	144	16	∀θ	∀θ	PROPN
ejpam-6653	144	17	>	>	X
ejpam-6653	144	18	0	0	NUM
ejpam-6653	144	19	,	,	PUNCT
ejpam-6653	144	20	so	so	ADV
ejpam-6653	144	21	the	the	DET
ejpam-6653	144	22	distribution	distribution	NOUN
ejpam-6653	144	23	is	be	AUX
ejpam-6653	144	24	leptokurtic	leptokurtic	ADJ
ejpam-6653	144	25	(	(	PUNCT
ejpam-6653	144	26	heavy	heavy	ADV
ejpam-6653	144	27	-	-	PUNCT
ejpam-6653	144	28	tailed	tailed	ADJ
ejpam-6653	144	29	,	,	PUNCT
ejpam-6653	144	30	more	more	ADV
ejpam-6653	144	31	peaked	peaked	ADJ
ejpam-6653	144	32	than	than	ADP
ejpam-6653	144	33	normal	normal	ADJ
ejpam-6653	144	34	)	)	PUNCT
ejpam-6653	144	35	.	.	PUNCT
ejpam-6653	145	1	4.1	4.1	NUM
ejpam-6653	145	2	.	.	PUNCT
ejpam-6653	146	1	mean	mean	VERB
ejpam-6653	146	2	deviation	deviation	NOUN
ejpam-6653	146	3	the	the	DET
ejpam-6653	146	4	mean	mean	ADJ
ejpam-6653	146	5	deviation	deviation	NOUN
ejpam-6653	146	6	about	about	ADP
ejpam-6653	146	7	mean	mean	NOUN
ejpam-6653	146	8	of	of	ADP
ejpam-6653	146	9	random	random	ADJ
ejpam-6653	146	10	variable	variable	NOUN
ejpam-6653	146	11	x	x	NOUN
ejpam-6653	146	12	,	,	PUNCT
ejpam-6653	146	13	having	have	VERB
ejpam-6653	146	14	pdf	pdf	NOUN
ejpam-6653	146	15	in	in	ADP
ejpam-6653	146	16	equation	equation	NOUN
ejpam-6653	146	17	(	(	PUNCT
ejpam-6653	146	18	1	1	X
ejpam-6653	146	19	)	)	PUNCT
ejpam-6653	146	20	is	be	AUX
ejpam-6653	146	21	obtained	obtain	VERB
ejpam-6653	146	22	as	as	ADP
ejpam-6653	146	23	mdx̄	mdx̄	NOUN
ejpam-6653	146	24	=	=	PUNCT
ejpam-6653	146	25	e(|x−	e(|x−	NOUN
ejpam-6653	146	26	µ|	µ|	PROPN
ejpam-6653	146	27	)	)	PUNCT
ejpam-6653	147	1	=	=	SYM
ejpam-6653	147	2	∫	∫	PROPN
ejpam-6653	148	1	∞	∞	PROPN
ejpam-6653	148	2	0	0	NUM
ejpam-6653	148	3	|x−	|x−	PROPN
ejpam-6653	148	4	µ|f(x)dx	µ|f(x)dx	VERB
ejpam-6653	148	5	=	=	PUNCT
ejpam-6653	148	6	∫	∫	X
ejpam-6653	148	7	µ	µ	X
ejpam-6653	148	8	0	0	NUM
ejpam-6653	148	9	|µ−	|µ−	ADJ
ejpam-6653	148	10	x|f(x)dx+	x|f(x)dx+	NUM
ejpam-6653	148	11	∫	∫	PROPN
ejpam-6653	148	12	∞	∞	PROPN
ejpam-6653	148	13	µ	µ	PROPN
ejpam-6653	148	14	|x−	|x−	PROPN
ejpam-6653	148	15	µ|f(x)dx	µ|f(x)dx	VERB
ejpam-6653	148	16	=	=	SYM
ejpam-6653	148	17	2µf	2µf	NOUN
ejpam-6653	148	18	(	(	PUNCT
ejpam-6653	148	19	µ)−	µ)−	NOUN
ejpam-6653	148	20	µ+	µ+	PUNCT
ejpam-6653	148	21	2	2	NUM
ejpam-6653	148	22	∫	∫	NOUN
ejpam-6653	148	23	∞	∞	PROPN
ejpam-6653	148	24	µ	µ	PROPN
ejpam-6653	148	25	xf(x)dx	xf(x)dx	NOUN
ejpam-6653	148	26	=	=	SYM
ejpam-6653	148	27	2µf	2µf	NOUN
ejpam-6653	148	28	(	(	PUNCT
ejpam-6653	148	29	µ)−	µ)−	NOUN
ejpam-6653	148	30	µ+	µ+	PUNCT
ejpam-6653	148	31	1	1	NUM
ejpam-6653	148	32	θ(1	θ(1	PROPN
ejpam-6653	148	33	+	+	NUM
ejpam-6653	148	34	θ	θ	NOUN
ejpam-6653	148	35	)	)	PUNCT
ejpam-6653	148	36	(	(	PUNCT
ejpam-6653	148	37	2θ(θ2µ2	2θ(θ2µ2	NUM
ejpam-6653	148	38	+	+	CCONJ
ejpam-6653	148	39	2θµ+	2θµ+	PROPN
ejpam-6653	148	40	2	2	NUM
ejpam-6653	148	41	)	)	PUNCT
ejpam-6653	148	42	+	+	CCONJ
ejpam-6653	149	1	(	(	PUNCT
ejpam-6653	149	2	θ3µ3	θ3µ3	PROPN
ejpam-6653	149	3	+	+	SYM
ejpam-6653	149	4	3θ2µ2	3θ2µ2	NUM
ejpam-6653	149	5	+	+	CCONJ
ejpam-6653	149	6	6θµ+	6θµ+	NOUN
ejpam-6653	149	7	6	6	NUM
ejpam-6653	149	8	)	)	PUNCT
ejpam-6653	149	9	)	)	PUNCT
ejpam-6653	149	10	e−θµ	e−θµ	NOUN
ejpam-6653	149	11	4.2	4.2	NUM
ejpam-6653	149	12	.	.	PUNCT
ejpam-6653	150	1	moment	moment	NOUN
ejpam-6653	150	2	and	and	CCONJ
ejpam-6653	150	3	cumulant	cumulant	ADJ
ejpam-6653	150	4	generating	generating	NOUN
ejpam-6653	150	5	function	function	NOUN
ejpam-6653	150	6	it	it	PRON
ejpam-6653	150	7	is	be	AUX
ejpam-6653	150	8	also	also	ADV
ejpam-6653	150	9	possible	possible	ADJ
ejpam-6653	150	10	to	to	PART
ejpam-6653	150	11	express	express	VERB
ejpam-6653	150	12	the	the	DET
ejpam-6653	150	13	moment	moment	NOUN
ejpam-6653	150	14	generating	generate	VERB
ejpam-6653	150	15	function	function	NOUN
ejpam-6653	150	16	in	in	ADP
ejpam-6653	150	17	terms	term	NOUN
ejpam-6653	150	18	of	of	ADP
ejpam-6653	150	19	the	the	DET
ejpam-6653	150	20	moment	moment	NOUN
ejpam-6653	150	21	mx(t	mx(t	NOUN
ejpam-6653	150	22	)	)	PUNCT
ejpam-6653	150	23	=	=	PUNCT
ejpam-6653	151	1	e(etx	e(etx	CCONJ
ejpam-6653	151	2	)	)	PUNCT
ejpam-6653	152	1	=	=	SYM
ejpam-6653	152	2	∫	∫	PROPN
ejpam-6653	153	1	∞	∞	NUM
ejpam-6653	153	2	0	0	NUM
ejpam-6653	153	3	etx	etx	NOUN
ejpam-6653	153	4	θ3x(1	θ3x(1	NOUN
ejpam-6653	154	1	+	+	CCONJ
ejpam-6653	154	2	x	x	SYM
ejpam-6653	154	3	2	2	X
ejpam-6653	154	4	)	)	PUNCT
ejpam-6653	154	5	e−θx	e−θx	PROPN
ejpam-6653	154	6	1	1	NUM
ejpam-6653	155	1	+	+	NUM
ejpam-6653	155	2	θ	θ	PROPN
ejpam-6653	155	3			PROPN
ejpam-6653	155	4	dx	dx	PROPN
ejpam-6653	155	5	=	=	SYM
ejpam-6653	155	6	θ3	θ3	PROPN
ejpam-6653	155	7	1	1	NUM
ejpam-6653	155	8	+	+	NUM
ejpam-6653	155	9	θ	θ	PROPN
ejpam-6653	155	10	∫	∫	PROPN
ejpam-6653	156	1	∞	∞	NUM
ejpam-6653	156	2	0	0	NUM
ejpam-6653	156	3	x	x	SYM
ejpam-6653	156	4	(	(	PUNCT
ejpam-6653	156	5	1	1	NUM
ejpam-6653	156	6	+	+	CCONJ
ejpam-6653	156	7	x	x	SYM
ejpam-6653	156	8	2	2	NUM
ejpam-6653	156	9	)	)	PUNCT
ejpam-6653	156	10	e−(θ−t)xdx	e−(θ−t)xdx	NUM
ejpam-6653	157	1	=	=	SYM
ejpam-6653	157	2	θ3	θ3	NOUN
ejpam-6653	157	3	1	1	NUM
ejpam-6653	157	4	+	+	NUM
ejpam-6653	157	5	θ	θ	PROPN
ejpam-6653	157	6	(	(	PUNCT
ejpam-6653	157	7	∫	∫	PROPN
ejpam-6653	157	8	∞	∞	NOUN
ejpam-6653	157	9	0	0	NUM
ejpam-6653	158	1	xe−(θ−t)xdx+	xe−(θ−t)xdx+	PROPN
ejpam-6653	158	2	∫	∫	PROPN
ejpam-6653	159	1	∞	∞	NUM
ejpam-6653	159	2	0	0	NUM
ejpam-6653	159	3	x	x	SYM
ejpam-6653	159	4	2	2	NUM
ejpam-6653	159	5	e−(θ−t)x	e−(θ−t)x	NOUN
ejpam-6653	159	6	)	)	PUNCT
ejpam-6653	159	7	dx	dx	PROPN
ejpam-6653	160	1	=	=	SYM
ejpam-6653	160	2	θ3	θ3	PROPN
ejpam-6653	160	3	1	1	NUM
ejpam-6653	160	4	+	+	NUM
ejpam-6653	160	5	θ	θ	PROPN
ejpam-6653	160	6	(	(	PUNCT
ejpam-6653	160	7	γ2	γ2	PROPN
ejpam-6653	160	8	(	(	PUNCT
ejpam-6653	160	9	θ	θ	NOUN
ejpam-6653	160	10	−	−	PROPN
ejpam-6653	160	11	t)2	t)2	PROPN
ejpam-6653	161	1	+	+	CCONJ
ejpam-6653	161	2	γ2	γ2	PROPN
ejpam-6653	161	3	2(θ	2(θ	NUM
ejpam-6653	161	4	−	−	PROPN
ejpam-6653	161	5	t)2	t)2	NOUN
ejpam-6653	161	6	)	)	PUNCT
ejpam-6653	162	1	=	=	SYM
ejpam-6653	162	2	θ3(1	θ3(1	NOUN
ejpam-6653	162	3	+	+	NUM
ejpam-6653	162	4	θ	θ	PROPN
ejpam-6653	162	5	−	−	PROPN
ejpam-6653	162	6	t	t	PROPN
ejpam-6653	162	7	)	)	PUNCT
ejpam-6653	162	8	(	(	PUNCT
ejpam-6653	162	9	1	1	NUM
ejpam-6653	162	10	+	+	NUM
ejpam-6653	162	11	θ)(θ	θ)(θ	PUNCT
ejpam-6653	162	12	−	−	NOUN
ejpam-6653	162	13	t)2	t)2	X
ejpam-6653	162	14	the	the	DET
ejpam-6653	162	15	cumulant	cumulant	ADJ
ejpam-6653	162	16	generating	generating	NOUN
ejpam-6653	162	17	function	function	NOUN
ejpam-6653	162	18	of	of	ADP
ejpam-6653	162	19	the	the	DET
ejpam-6653	162	20	random	random	ADJ
ejpam-6653	162	21	variable	variable	NOUN
ejpam-6653	162	22	x	x	PUNCT
ejpam-6653	162	23	is	be	AUX
ejpam-6653	162	24	given	give	VERB
ejpam-6653	162	25	by	by	ADP
ejpam-6653	162	26	kx(t	kx(t	NOUN
ejpam-6653	162	27	)	)	PUNCT
ejpam-6653	162	28	=	=	SYM
ejpam-6653	162	29	logmx(t	logmx(t	PROPN
ejpam-6653	162	30	)	)	PUNCT
ejpam-6653	162	31	m.	m.	NOUN
ejpam-6653	162	32	i.	i.	PROPN
ejpam-6653	162	33	khan	khan	PROPN
ejpam-6653	162	34	,	,	PUNCT
ejpam-6653	162	35	m.	m.	PROPN
ejpam-6653	162	36	k.	k.	PROPN
ejpam-6653	162	37	ruidas	ruidas	PROPN
ejpam-6653	162	38	/	/	SYM
ejpam-6653	162	39	eur	eur	PROPN
ejpam-6653	162	40	.	.	PUNCT
ejpam-6653	163	1	j.	j.	PROPN
ejpam-6653	163	2	pure	pure	PROPN
ejpam-6653	163	3	appl	appl	PROPN
ejpam-6653	163	4	.	.	PROPN
ejpam-6653	163	5	math	math	PROPN
ejpam-6653	163	6	,	,	PUNCT
ejpam-6653	163	7	18	18	NUM
ejpam-6653	163	8	(	(	PUNCT
ejpam-6653	163	9	4	4	NUM
ejpam-6653	163	10	)	)	PUNCT
ejpam-6653	163	11	(	(	PUNCT
ejpam-6653	163	12	2025	2025	NUM
ejpam-6653	163	13	)	)	PUNCT
ejpam-6653	163	14	,	,	PUNCT
ejpam-6653	163	15	6653	6653	NUM
ejpam-6653	163	16	9	9	NUM
ejpam-6653	163	17	of	of	ADP
ejpam-6653	163	18	22	22	NUM
ejpam-6653	163	19	kx(t	kx(t	NOUN
ejpam-6653	163	20	)	)	PUNCT
ejpam-6653	163	21	=	=	SYM
ejpam-6653	164	1	log	log	NOUN
ejpam-6653	164	2	(	(	PUNCT
ejpam-6653	164	3	θ3(1	θ3(1	PROPN
ejpam-6653	164	4	+	+	NUM
ejpam-6653	164	5	θ	θ	PROPN
ejpam-6653	164	6	−	−	PROPN
ejpam-6653	164	7	t	t	PROPN
ejpam-6653	164	8	)	)	PUNCT
ejpam-6653	164	9	(	(	PUNCT
ejpam-6653	164	10	1	1	NUM
ejpam-6653	164	11	+	+	NUM
ejpam-6653	164	12	θ)(θ	θ)(θ	PUNCT
ejpam-6653	164	13	−	−	NOUN
ejpam-6653	164	14	t)2	t)2	NOUN
ejpam-6653	164	15	)	)	PUNCT
ejpam-6653	164	16	=	=	SYM
ejpam-6653	164	17	3	3	NUM
ejpam-6653	164	18	log	log	VERB
ejpam-6653	164	19	θ	θ	PROPN
ejpam-6653	164	20	+	+	PUNCT
ejpam-6653	164	21	log(1	log(1	NOUN
ejpam-6653	165	1	+	+	NUM
ejpam-6653	165	2	θ	θ	PROPN
ejpam-6653	165	3	−	−	NOUN
ejpam-6653	165	4	t)−	t)−	PROPN
ejpam-6653	165	5	log(1	log(1	NOUN
ejpam-6653	166	1	+	+	CCONJ
ejpam-6653	167	1	θ)−	θ)−	PROPN
ejpam-6653	167	2	2	2	NUM
ejpam-6653	167	3	log(θ	log(θ	PROPN
ejpam-6653	167	4	−	−	PROPN
ejpam-6653	167	5	t	t	PROPN
ejpam-6653	167	6	)	)	PUNCT
ejpam-6653	167	7	5	5	NUM
ejpam-6653	167	8	.	.	PUNCT
ejpam-6653	167	9	stochastic	stochastic	ADJ
ejpam-6653	167	10	interpretation	interpretation	NOUN
ejpam-6653	167	11	of	of	ADP
ejpam-6653	167	12	the	the	DET
ejpam-6653	167	13	parameter	parameter	NOUN
ejpam-6653	167	14	θ	θ	PROPN
ejpam-6653	168	1	stochastic	stochastic	ADJ
ejpam-6653	168	2	orders	order	NOUN
ejpam-6653	168	3	are	be	AUX
ejpam-6653	168	4	important	important	ADJ
ejpam-6653	168	5	measures	measure	NOUN
ejpam-6653	168	6	for	for	ADP
ejpam-6653	168	7	comparing	compare	VERB
ejpam-6653	168	8	the	the	DET
ejpam-6653	168	9	behavior	behavior	NOUN
ejpam-6653	168	10	of	of	ADP
ejpam-6653	168	11	random	random	ADJ
ejpam-6653	168	12	variables	variable	NOUN
ejpam-6653	168	13	shown	show	VERB
ejpam-6653	168	14	by	by	ADP
ejpam-6653	168	15	shaked	shaked	ADJ
ejpam-6653	168	16	and	and	CCONJ
ejpam-6653	168	17	santikumar	santikumar	PROPN
ejpam-6653	168	18	(	(	PUNCT
ejpam-6653	168	19	1995	1995	NUM
ejpam-6653	168	20	)	)	PUNCT
ejpam-6653	169	1	[	[	X
ejpam-6653	169	2	17	17	NUM
ejpam-6653	169	3	]	]	PUNCT
ejpam-6653	169	4	)	)	PUNCT
ejpam-6653	169	5	let	let	VERB
ejpam-6653	169	6	x	x	PRON
ejpam-6653	169	7	and	and	CCONJ
ejpam-6653	169	8	y	y	PROPN
ejpam-6653	169	9	are	be	AUX
ejpam-6653	169	10	the	the	DET
ejpam-6653	169	11	two	two	NUM
ejpam-6653	169	12	random	random	ADJ
ejpam-6653	169	13	variables	variable	NOUN
ejpam-6653	169	14	with	with	ADP
ejpam-6653	169	15	cumulative	cumulative	ADJ
ejpam-6653	169	16	distribution	distribution	NOUN
ejpam-6653	169	17	functions	function	NOUN
ejpam-6653	169	18	fx	fx	PROPN
ejpam-6653	169	19	(	(	PUNCT
ejpam-6653	169	20	.	.	PUNCT
ejpam-6653	169	21	)	)	PUNCT
ejpam-6653	170	1	and	and	CCONJ
ejpam-6653	170	2	fy	fy	PROPN
ejpam-6653	170	3	(	(	PUNCT
ejpam-6653	170	4	.	.	PUNCT
ejpam-6653	170	5	)	)	PUNCT
ejpam-6653	170	6	respectively	respectively	ADV
ejpam-6653	170	7	.	.	PUNCT
ejpam-6653	171	1	then	then	ADV
ejpam-6653	171	2	x	x	X
ejpam-6653	171	3	is	be	AUX
ejpam-6653	171	4	said	say	VERB
ejpam-6653	171	5	to	to	PART
ejpam-6653	171	6	be	be	AUX
ejpam-6653	171	7	smaller	small	ADJ
ejpam-6653	171	8	than	than	ADP
ejpam-6653	171	9	y	y	PROPN
ejpam-6653	171	10	in	in	ADP
ejpam-6653	171	11	the	the	DET
ejpam-6653	171	12	•	•	NUM
ejpam-6653	171	13	stochastic	stochastic	ADJ
ejpam-6653	171	14	order	order	NOUN
ejpam-6653	171	15	(	(	PUNCT
ejpam-6653	171	16	x	x	X
ejpam-6653	171	17	≺s	≺s	ADP
ejpam-6653	171	18	y	y	PROPN
ejpam-6653	171	19	)	)	PUNCT
ejpam-6653	171	20	,	,	PUNCT
ejpam-6653	171	21	iffx(t	iffx(t	PROPN
ejpam-6653	171	22	)	)	PUNCT
ejpam-6653	171	23	≥	≥	PROPN
ejpam-6653	171	24	fy	fy	PROPN
ejpam-6653	171	25	(	(	PUNCT
ejpam-6653	171	26	t	t	PROPN
ejpam-6653	171	27	)	)	PUNCT
ejpam-6653	171	28	,	,	PUNCT
ejpam-6653	171	29	∀t	∀t	PROPN
ejpam-6653	171	30	•	•	NUM
ejpam-6653	171	31	convex	convex	NOUN
ejpam-6653	171	32	order	order	NOUN
ejpam-6653	171	33	(	(	PUNCT
ejpam-6653	171	34	x	x	X
ejpam-6653	171	35	≺cx	≺cx	PROPN
ejpam-6653	171	36	y	y	PROPN
ejpam-6653	171	37	)	)	PUNCT
ejpam-6653	171	38	if	if	SCONJ
ejpam-6653	171	39	for	for	ADP
ejpam-6653	171	40	all	all	DET
ejpam-6653	171	41	convex	convex	NOUN
ejpam-6653	171	42	functions	function	NOUN
ejpam-6653	171	43	ϕ	ϕ	NOUN
ejpam-6653	171	44	and	and	CCONJ
ejpam-6653	171	45	provided	provide	VERB
ejpam-6653	171	46	expectation	expectation	NOUN
ejpam-6653	171	47	exist	exist	VERB
ejpam-6653	171	48	,	,	PUNCT
ejpam-6653	171	49	e[ϕ(x	e[ϕ(x	NOUN
ejpam-6653	171	50	)	)	PUNCT
ejpam-6653	171	51	≤	≤	NOUN
ejpam-6653	171	52	e[ϕ(y	e[ϕ(y	NUM
ejpam-6653	171	53	)	)	PUNCT
ejpam-6653	171	54	]	]	PUNCT
ejpam-6653	171	55	.	.	PUNCT
ejpam-6653	172	1	•	•	NUM
ejpam-6653	172	2	hazard	hazard	NOUN
ejpam-6653	172	3	rate	rate	NOUN
ejpam-6653	172	4	order	order	NOUN
ejpam-6653	172	5	(	(	PUNCT
ejpam-6653	172	6	x	x	SYM
ejpam-6653	172	7	≺hr	≺hr	PROPN
ejpam-6653	172	8	y	y	PROPN
ejpam-6653	172	9	)	)	PUNCT
ejpam-6653	172	10	,	,	PUNCT
ejpam-6653	172	11	ifhx(t	ifhx(t	PROPN
ejpam-6653	172	12	)	)	PUNCT
ejpam-6653	172	13	≥	≥	NOUN
ejpam-6653	172	14	hy	hy	PROPN
ejpam-6653	172	15	(	(	PUNCT
ejpam-6653	172	16	t	t	PROPN
ejpam-6653	172	17	)	)	PUNCT
ejpam-6653	172	18	,	,	PUNCT
ejpam-6653	172	19	∀t	∀t	PROPN
ejpam-6653	172	20	.	.	NOUN
ejpam-6653	172	21	•	•	NUM
ejpam-6653	172	22	likelihood	likelihood	NOUN
ejpam-6653	172	23	ratio	ratio	NOUN
ejpam-6653	172	24	order	order	NOUN
ejpam-6653	172	25	(	(	PUNCT
ejpam-6653	172	26	x	x	PUNCT
ejpam-6653	172	27	≺lr	≺lr	PROPN
ejpam-6653	172	28	y	y	PROPN
ejpam-6653	172	29	)	)	PUNCT
ejpam-6653	172	30	,	,	PUNCT
ejpam-6653	172	31	if	if	SCONJ
ejpam-6653	172	32	fx(t	fx(t	NOUN
ejpam-6653	172	33	)	)	PUNCT
ejpam-6653	172	34	fy	fy	PROPN
ejpam-6653	172	35	(	(	PUNCT
ejpam-6653	172	36	t	t	PROPN
ejpam-6653	172	37	)	)	PUNCT
ejpam-6653	172	38	is	be	AUX
ejpam-6653	172	39	decreasing	decrease	VERB
ejpam-6653	172	40	in	in	ADP
ejpam-6653	172	41	t.	t.	ADJ
ejpam-6653	172	42	remark	remark	NOUN
ejpam-6653	172	43	2	2	NUM
ejpam-6653	172	44	.	.	PUNCT
ejpam-6653	173	1	likelihood	likelihood	NOUN
ejpam-6653	173	2	ratio	ratio	NOUN
ejpam-6653	173	3	order	order	NOUN
ejpam-6653	173	4	⇒	⇒	VERB
ejpam-6653	173	5	hazard	hazard	NOUN
ejpam-6653	173	6	rate	rate	NOUN
ejpam-6653	173	7	order	order	NOUN
ejpam-6653	173	8	⇒	⇒	VERB
ejpam-6653	173	9	stochastic	stochastic	ADJ
ejpam-6653	173	10	order	order	NOUN
ejpam-6653	173	11	if	if	SCONJ
ejpam-6653	173	12	e[x	e[x	NOUN
ejpam-6653	173	13	]	]	X
ejpam-6653	173	14	=	=	SYM
ejpam-6653	173	15	e[y	e[y	PROPN
ejpam-6653	173	16	]	]	PUNCT
ejpam-6653	173	17	,	,	PUNCT
ejpam-6653	173	18	then	then	ADV
ejpam-6653	173	19	convex	convex	VERB
ejpam-6653	173	20	order	order	NOUN
ejpam-6653	173	21	⇐	⇐	ADJ
ejpam-6653	173	22	⇒	⇒	NOUN
ejpam-6653	173	23	stochastic	stochastic	ADJ
ejpam-6653	173	24	order	order	NOUN
ejpam-6653	173	25	.	.	PUNCT
ejpam-6653	174	1	theorem	theorem	NOUN
ejpam-6653	174	2	1	1	NUM
ejpam-6653	174	3	.	.	PUNCT
ejpam-6653	175	1	let	let	VERB
ejpam-6653	175	2	xi	xi	NOUN
ejpam-6653	175	3	∼	∼	VERB
ejpam-6653	175	4	m(θi	m(θi	PROPN
ejpam-6653	175	5	)	)	PUNCT
ejpam-6653	175	6	,	,	PUNCT
ejpam-6653	176	1	i	i	PRON
ejpam-6653	176	2	=	=	NOUN
ejpam-6653	176	3	1	1	NUM
ejpam-6653	176	4	,	,	PUNCT
ejpam-6653	176	5	2	2	NUM
ejpam-6653	176	6	be	be	VERB
ejpam-6653	176	7	two	two	NUM
ejpam-6653	176	8	random	random	ADJ
ejpam-6653	176	9	variables	variable	NOUN
ejpam-6653	176	10	.	.	PUNCT
ejpam-6653	177	1	if	if	SCONJ
ejpam-6653	177	2	θ1	θ1	NOUN
ejpam-6653	177	3	≤	≤	PROPN
ejpam-6653	177	4	θ2	θ2	PROPN
ejpam-6653	177	5	,	,	PUNCT
ejpam-6653	177	6	thenx1	thenx1	PROPN
ejpam-6653	178	1	≺lr	≺lr	PROPN
ejpam-6653	179	1	x2	x2	PROPN
ejpam-6653	179	2	,	,	PUNCT
ejpam-6653	179	3	x1	x1	PROPN
ejpam-6653	179	4	≺hr	≺hr	PROPN
ejpam-6653	179	5	x2	x2	PROPN
ejpam-6653	179	6	,	,	PUNCT
ejpam-6653	179	7	x1	x1	PROPN
ejpam-6653	179	8	≺s	≺s	PROPN
ejpam-6653	179	9	x2andx1	x2andx1	PROPN
ejpam-6653	179	10	≺cx	≺cx	X
ejpam-6653	179	11	x2	x2	ADJ
ejpam-6653	179	12	proof	proof	NOUN
ejpam-6653	179	13	.	.	PUNCT
ejpam-6653	180	1	we	we	PRON
ejpam-6653	180	2	have	have	VERB
ejpam-6653	180	3	fx1(t	fx1(t	PROPN
ejpam-6653	180	4	)	)	PUNCT
ejpam-6653	180	5	fx2(t	fx2(t	PROPN
ejpam-6653	180	6	)	)	PUNCT
ejpam-6653	181	1	=	=	SYM
ejpam-6653	181	2	θ31(1	θ31(1	PROPN
ejpam-6653	181	3	+	+	CCONJ
ejpam-6653	181	4	θ2	θ2	PROPN
ejpam-6653	181	5	)	)	PUNCT
ejpam-6653	181	6	θ32(1	θ32(1	NOUN
ejpam-6653	181	7	+	+	CCONJ
ejpam-6653	181	8	θ1	θ1	NOUN
ejpam-6653	181	9	)	)	PUNCT
ejpam-6653	181	10	e−(θ1−θ2)t	e−(θ1−θ2)t	PROPN
ejpam-6653	181	11	differentiating	differentiate	VERB
ejpam-6653	181	12	w.r.t	w.r.t	NOUN
ejpam-6653	181	13	t	t	PROPN
ejpam-6653	181	14	,	,	PUNCT
ejpam-6653	181	15	we	we	PRON
ejpam-6653	181	16	get	get	VERB
ejpam-6653	181	17	d	d	PRON
ejpam-6653	181	18	dt	dt	PROPN
ejpam-6653	181	19	fx1(t	fx1(t	PROPN
ejpam-6653	181	20	)	)	PUNCT
ejpam-6653	181	21	fx2(t	fx2(t	PROPN
ejpam-6653	181	22	)	)	PUNCT
ejpam-6653	181	23	=	=	PUNCT
ejpam-6653	182	1	−(θ1	−(θ1	PRON
ejpam-6653	182	2	−	−	NOUN
ejpam-6653	182	3	θ2)e	θ2)e	VERB
ejpam-6653	182	4	−(θ1−θ2)t	−(θ1−θ2)t	PROPN
ejpam-6653	182	5	<	<	X
ejpam-6653	182	6	0	0	NUM
ejpam-6653	182	7	,	,	PUNCT
ejpam-6653	182	8	∀θ1	∀θ1	X
ejpam-6653	182	9	≥	≥	NOUN
ejpam-6653	182	10	θ2	θ2	ADV
ejpam-6653	182	11	hence	hence	ADV
ejpam-6653	182	12	,	,	PUNCT
ejpam-6653	182	13	we	we	PRON
ejpam-6653	182	14	see	see	VERB
ejpam-6653	182	15	that	that	DET
ejpam-6653	182	16	fx1	fx1	PROPN
ejpam-6653	182	17	(	(	PUNCT
ejpam-6653	182	18	t	t	PROPN
ejpam-6653	182	19	)	)	PUNCT
ejpam-6653	182	20	fx2	fx2	PROPN
ejpam-6653	182	21	(	(	PUNCT
ejpam-6653	182	22	t	t	NOUN
ejpam-6653	182	23	)	)	PUNCT
ejpam-6653	182	24	decreases	decrease	NOUN
ejpam-6653	182	25	in	in	ADP
ejpam-6653	182	26	t	t	PROPN
ejpam-6653	182	27	,	,	PUNCT
ejpam-6653	182	28	which	which	PRON
ejpam-6653	182	29	holds	hold	VERB
ejpam-6653	182	30	the	the	DET
ejpam-6653	182	31	above	above	ADJ
ejpam-6653	182	32	theorem	theorem	NOUN
ejpam-6653	182	33	.	.	PUNCT
ejpam-6653	183	1	(	(	PUNCT
ejpam-6653	183	2	proved	prove	VERB
ejpam-6653	183	3	)	)	PUNCT
ejpam-6653	183	4	6	6	NUM
ejpam-6653	183	5	.	.	PUNCT
ejpam-6653	184	1	incomplete	incomplete	ADJ
ejpam-6653	184	2	moments	moment	NOUN
ejpam-6653	184	3	and	and	CCONJ
ejpam-6653	184	4	inequality	inequality	NOUN
ejpam-6653	184	5	curves	curve	VERB
ejpam-6653	184	6	the	the	DET
ejpam-6653	184	7	rth	rth	NOUN
ejpam-6653	184	8	incomplete	incomplete	ADJ
ejpam-6653	184	9	moment	moment	NOUN
ejpam-6653	184	10	µr(t	µr(t	NUM
ejpam-6653	184	11	)	)	PUNCT
ejpam-6653	184	12	for	for	ADP
ejpam-6653	184	13	a	a	DET
ejpam-6653	184	14	random	random	ADJ
ejpam-6653	184	15	variable	variable	NOUN
ejpam-6653	184	16	x	x	PUNCT
ejpam-6653	184	17	with	with	ADP
ejpam-6653	184	18	pdf	pdf	NOUN
ejpam-6653	184	19	f(x	f(x	PROPN
ejpam-6653	184	20	)	)	PUNCT
ejpam-6653	184	21	and	and	CCONJ
ejpam-6653	184	22	cdf	cdf	PROPN
ejpam-6653	184	23	f(x	f(x	PROPN
ejpam-6653	184	24	)	)	PUNCT
ejpam-6653	184	25	is	be	AUX
ejpam-6653	184	26	given	give	VERB
ejpam-6653	184	27	by	by	ADP
ejpam-6653	184	28	sen	sen	PROPN
ejpam-6653	184	29	et	et	PROPN
ejpam-6653	184	30	al	al	PROPN
ejpam-6653	184	31	.	.	PROPN
ejpam-6653	185	1	(	(	PUNCT
ejpam-6653	185	2	2018	2018	NUM
ejpam-6653	185	3	)	)	PUNCT
ejpam-6653	186	1	[	[	X
ejpam-6653	186	2	18	18	NUM
ejpam-6653	186	3	]	]	SYM
ejpam-6653	186	4	)	)	PUNCT
ejpam-6653	186	5	µr(t	µr(t	NUM
ejpam-6653	186	6	)	)	PUNCT
ejpam-6653	187	1	=	=	SYM
ejpam-6653	188	1	∫	∫	PROPN
ejpam-6653	188	2	t	t	PROPN
ejpam-6653	188	3	0	0	NUM
ejpam-6653	188	4	xrf(x)dx	xrf(x)dx	X
ejpam-6653	188	5	m.	m.	PROPN
ejpam-6653	188	6	i.	i.	PROPN
ejpam-6653	188	7	khan	khan	PROPN
ejpam-6653	188	8	,	,	PUNCT
ejpam-6653	188	9	m.	m.	PROPN
ejpam-6653	188	10	k.	k.	PROPN
ejpam-6653	188	11	ruidas	ruidas	PROPN
ejpam-6653	188	12	/	/	SYM
ejpam-6653	188	13	eur	eur	PROPN
ejpam-6653	188	14	.	.	PUNCT
ejpam-6653	189	1	j.	j.	PROPN
ejpam-6653	189	2	pure	pure	PROPN
ejpam-6653	189	3	appl	appl	PROPN
ejpam-6653	189	4	.	.	PROPN
ejpam-6653	189	5	math	math	PROPN
ejpam-6653	189	6	,	,	PUNCT
ejpam-6653	189	7	18	18	NUM
ejpam-6653	189	8	(	(	PUNCT
ejpam-6653	189	9	4	4	NUM
ejpam-6653	189	10	)	)	PUNCT
ejpam-6653	189	11	(	(	PUNCT
ejpam-6653	189	12	2025	2025	NUM
ejpam-6653	189	13	)	)	PUNCT
ejpam-6653	189	14	,	,	PUNCT
ejpam-6653	189	15	6653	6653	NUM
ejpam-6653	189	16	10	10	NUM
ejpam-6653	189	17	of	of	ADP
ejpam-6653	189	18	22	22	NUM
ejpam-6653	190	1	so	so	ADV
ejpam-6653	190	2	,	,	PUNCT
ejpam-6653	190	3	when	when	SCONJ
ejpam-6653	190	4	x	x	X
ejpam-6653	190	5	∼	∼	NOUN
ejpam-6653	190	6	mgamma(θ	mgamma(θ	PROPN
ejpam-6653	190	7	)	)	PUNCT
ejpam-6653	190	8	,	,	PUNCT
ejpam-6653	190	9	the	the	DET
ejpam-6653	190	10	rth	rth	PROPN
ejpam-6653	190	11	incomplete	incomplete	ADJ
ejpam-6653	190	12	moment	moment	NOUN
ejpam-6653	190	13	is	be	AUX
ejpam-6653	190	14	obtained	obtain	VERB
ejpam-6653	190	15	as	as	ADP
ejpam-6653	190	16	µr(t	µr(t	NOUN
ejpam-6653	190	17	)	)	PUNCT
ejpam-6653	191	1	=	=	SYM
ejpam-6653	191	2	∫	∫	PROPN
ejpam-6653	192	1	t	t	PROPN
ejpam-6653	192	2	0	0	NUM
ejpam-6653	193	1	xr	xr	PROPN
ejpam-6653	193	2	θ3x(1	θ3x(1	PROPN
ejpam-6653	194	1	+	+	CCONJ
ejpam-6653	194	2	x	x	SYM
ejpam-6653	194	3	2	2	X
ejpam-6653	194	4	)	)	PUNCT
ejpam-6653	194	5	e−θx	e−θx	PROPN
ejpam-6653	194	6	1	1	NUM
ejpam-6653	195	1	+	+	NUM
ejpam-6653	195	2	θ	θ	PROPN
ejpam-6653	195	3			PROPN
ejpam-6653	195	4	dx	dx	PROPN
ejpam-6653	195	5	=	=	SYM
ejpam-6653	195	6	θ3	θ3	PROPN
ejpam-6653	195	7	1	1	NUM
ejpam-6653	195	8	+	+	NUM
ejpam-6653	195	9	θ	θ	PROPN
ejpam-6653	195	10	(	(	PUNCT
ejpam-6653	195	11	∫	∫	PROPN
ejpam-6653	195	12	∞	∞	NOUN
ejpam-6653	195	13	0	0	NUM
ejpam-6653	196	1	xr+1e−θxdx+	xr+1e−θxdx+	PROPN
ejpam-6653	196	2	∫	∫	PROPN
ejpam-6653	196	3	∞	∞	NOUN
ejpam-6653	196	4	0	0	NUM
ejpam-6653	196	5	1	1	NUM
ejpam-6653	196	6	2	2	NUM
ejpam-6653	196	7	xr+2e−θxdx	xr+2e−θxdx	PROPN
ejpam-6653	196	8	)	)	PUNCT
ejpam-6653	197	1	=	=	SYM
ejpam-6653	197	2	θ3	θ3	NOUN
ejpam-6653	197	3	1	1	NUM
ejpam-6653	197	4	+	+	NUM
ejpam-6653	197	5	θ	θ	PROPN
ejpam-6653	197	6	[	[	PUNCT
ejpam-6653	197	7	γ(r	γ(r	PROPN
ejpam-6653	197	8	+	+	CCONJ
ejpam-6653	197	9	2	2	NUM
ejpam-6653	197	10	,	,	PUNCT
ejpam-6653	197	11	θt	θt	ADJ
ejpam-6653	197	12	)	)	PUNCT
ejpam-6653	197	13	+	+	CCONJ
ejpam-6653	197	14	1	1	NUM
ejpam-6653	197	15	2	2	NUM
ejpam-6653	197	16	γ(r	γ(r	NOUN
ejpam-6653	197	17	+	+	CCONJ
ejpam-6653	197	18	3	3	NUM
ejpam-6653	197	19	,	,	PUNCT
ejpam-6653	197	20	θt	θt	ADJ
ejpam-6653	197	21	)	)	PUNCT
ejpam-6653	197	22	]	]	PUNCT
ejpam-6653	198	1	where	where	SCONJ
ejpam-6653	198	2	γ(α	γ(α	PROPN
ejpam-6653	198	3	,	,	PUNCT
ejpam-6653	198	4	x	x	NOUN
ejpam-6653	198	5	)	)	PUNCT
ejpam-6653	198	6	=	=	SYM
ejpam-6653	198	7	∫	∫	PROPN
ejpam-6653	198	8	x	x	SYM
ejpam-6653	198	9	0	0	NUM
ejpam-6653	198	10	uα−1e−u	uα−1e−u	X
ejpam-6653	198	11	du	du	NOUN
ejpam-6653	198	12	is	be	AUX
ejpam-6653	198	13	lower	low	ADJ
ejpam-6653	198	14	incomplete	incomplete	ADJ
ejpam-6653	198	15	gamma	gamma	NOUN
ejpam-6653	198	16	function	function	NOUN
ejpam-6653	198	17	.	.	PUNCT
ejpam-6653	199	1	when	when	SCONJ
ejpam-6653	199	2	a	a	DET
ejpam-6653	199	3	non	non	ADJ
ejpam-6653	199	4	-	-	ADJ
ejpam-6653	199	5	negative	negative	ADJ
ejpam-6653	199	6	continuous	continuous	ADJ
ejpam-6653	199	7	random	random	ADJ
ejpam-6653	199	8	variable	variable	NOUN
ejpam-6653	199	9	x	x	PUNCT
ejpam-6653	199	10	has	have	VERB
ejpam-6653	199	11	pdf	pdf	NOUN
ejpam-6653	199	12	f	f	X
ejpam-6653	199	13	(	(	PUNCT
ejpam-6653	199	14	x	x	NOUN
ejpam-6653	199	15	)	)	PUNCT
ejpam-6653	199	16	and	and	CCONJ
ejpam-6653	199	17	cdf	cdf	PROPN
ejpam-6653	199	18	f	f	PROPN
ejpam-6653	199	19	(	(	PUNCT
ejpam-6653	199	20	x	x	X
ejpam-6653	199	21	)	)	PUNCT
ejpam-6653	199	22	,	,	PUNCT
ejpam-6653	199	23	the	the	DET
ejpam-6653	199	24	lorenz	lorenz	PROPN
ejpam-6653	199	25	and	and	CCONJ
ejpam-6653	199	26	bonferroni	bonferroni	PROPN
ejpam-6653	199	27	curves	curve	NOUN
ejpam-6653	199	28	are	be	AUX
ejpam-6653	199	29	defined	define	VERB
ejpam-6653	199	30	by	by	ADP
ejpam-6653	199	31	l(p	l(p	PROPN
ejpam-6653	199	32	)	)	PUNCT
ejpam-6653	199	33	=	=	SYM
ejpam-6653	200	1	1	1	NUM
ejpam-6653	200	2	µ	µ	DET
ejpam-6653	200	3	∫	∫	PROPN
ejpam-6653	200	4	q	q	NOUN
ejpam-6653	200	5	0	0	NUM
ejpam-6653	200	6	xf(x)dx	xf(x)dx	ADJ
ejpam-6653	200	7	b(p	b(p	PROPN
ejpam-6653	200	8	)	)	PUNCT
ejpam-6653	201	1	=	=	SYM
ejpam-6653	201	2	1	1	NUM
ejpam-6653	201	3	pµ	pµ	NOUN
ejpam-6653	201	4	∫	∫	PROPN
ejpam-6653	201	5	q	q	PROPN
ejpam-6653	201	6	0	0	NUM
ejpam-6653	202	1	xf(x)dx	xf(x)dx	PROPN
ejpam-6653	202	2	respectively	respectively	ADV
ejpam-6653	202	3	,	,	PUNCT
ejpam-6653	202	4	where	where	SCONJ
ejpam-6653	202	5	µ	µ	X
ejpam-6653	202	6	=	=	SYM
ejpam-6653	202	7	e(x	e(x	NUM
ejpam-6653	202	8	)	)	PUNCT
ejpam-6653	202	9	and	and	CCONJ
ejpam-6653	202	10	q	q	NOUN
ejpam-6653	202	11	=	=	SYM
ejpam-6653	202	12	f	f	NOUN
ejpam-6653	202	13	1(p	1(p	NUM
ejpam-6653	202	14	)	)	PUNCT
ejpam-6653	202	15	for	for	ADP
ejpam-6653	202	16	0	0	NUM
ejpam-6653	202	17	<	<	X
ejpam-6653	202	18	p	p	X
ejpam-6653	202	19	<	<	X
ejpam-6653	202	20	1	1	NUM
ejpam-6653	202	21	.	.	PUNCT
ejpam-6653	203	1	so	so	ADV
ejpam-6653	203	2	,	,	PUNCT
ejpam-6653	203	3	when	when	SCONJ
ejpam-6653	203	4	x	x	X
ejpam-6653	203	5	∼	∼	NOUN
ejpam-6653	203	6	mgamma(θ	mgamma(θ	PROPN
ejpam-6653	203	7	)	)	PUNCT
ejpam-6653	203	8	the	the	DET
ejpam-6653	203	9	lorenz	lorenz	PROPN
ejpam-6653	203	10	and	and	CCONJ
ejpam-6653	203	11	bonferroni	bonferroni	PROPN
ejpam-6653	203	12	curves	curve	NOUN
ejpam-6653	203	13	are	be	AUX
ejpam-6653	203	14	given	give	VERB
ejpam-6653	203	15	by	by	ADP
ejpam-6653	203	16	l(p	l(p	PROPN
ejpam-6653	203	17	)	)	PUNCT
ejpam-6653	204	1	=	=	NOUN
ejpam-6653	204	2	θ4	θ4	NOUN
ejpam-6653	204	3	3	3	NUM
ejpam-6653	204	4	+	+	NUM
ejpam-6653	204	5	θ	θ	PROPN
ejpam-6653	204	6	[	[	PUNCT
ejpam-6653	204	7	γ(3	γ(3	PROPN
ejpam-6653	204	8	,	,	PUNCT
ejpam-6653	204	9	θq	θq	ADP
ejpam-6653	204	10	)	)	PUNCT
ejpam-6653	204	11	+	+	CCONJ
ejpam-6653	204	12	1	1	NUM
ejpam-6653	204	13	2	2	NUM
ejpam-6653	204	14	γ(4	γ(4	PROPN
ejpam-6653	204	15	,	,	PUNCT
ejpam-6653	204	16	θq	θq	ADP
ejpam-6653	204	17	)	)	PUNCT
ejpam-6653	204	18	]	]	PUNCT
ejpam-6653	205	1	b(p	b(p	X
ejpam-6653	205	2	)	)	PUNCT
ejpam-6653	205	3	=	=	SYM
ejpam-6653	206	1	θ4	θ4	NOUN
ejpam-6653	206	2	p(3	p(3	PROPN
ejpam-6653	206	3	+	+	CCONJ
ejpam-6653	206	4	θ	θ	NOUN
ejpam-6653	206	5	)	)	PUNCT
ejpam-6653	206	6	[	[	PUNCT
ejpam-6653	206	7	γ(3	γ(3	PROPN
ejpam-6653	206	8	,	,	PUNCT
ejpam-6653	206	9	θq	θq	ADP
ejpam-6653	206	10	)	)	PUNCT
ejpam-6653	206	11	+	+	CCONJ
ejpam-6653	206	12	1	1	NUM
ejpam-6653	206	13	2	2	NUM
ejpam-6653	206	14	γ(4	γ(4	PROPN
ejpam-6653	206	15	,	,	PUNCT
ejpam-6653	206	16	θq	θq	ADP
ejpam-6653	206	17	)	)	PUNCT
ejpam-6653	206	18	]	]	PUNCT
ejpam-6653	207	1	the	the	DET
ejpam-6653	207	2	lorenz	lorenz	PROPN
ejpam-6653	207	3	and	and	CCONJ
ejpam-6653	207	4	bonferroni	bonferroni	PROPN
ejpam-6653	207	5	curves	curve	NOUN
ejpam-6653	207	6	confirm	confirm	VERB
ejpam-6653	207	7	that	that	SCONJ
ejpam-6653	207	8	mgamma	mgamma	PROPN
ejpam-6653	207	9	can	can	AUX
ejpam-6653	207	10	capture	capture	VERB
ejpam-6653	207	11	income	income	NOUN
ejpam-6653	207	12	/	/	SYM
ejpam-6653	207	13	wealth	wealth	NOUN
ejpam-6653	207	14	inequality	inequality	NOUN
ejpam-6653	207	15	patterns	pattern	NOUN
ejpam-6653	207	16	due	due	ADP
ejpam-6653	207	17	to	to	ADP
ejpam-6653	207	18	its	its	PRON
ejpam-6653	207	19	flexible	flexible	ADJ
ejpam-6653	207	20	tail	tail	NOUN
ejpam-6653	207	21	behavior	behavior	NOUN
ejpam-6653	207	22	,	,	PUNCT
ejpam-6653	207	23	offering	offer	VERB
ejpam-6653	207	24	better	well	ADJ
ejpam-6653	207	25	interpretability	interpretability	NOUN
ejpam-6653	207	26	compared	compare	VERB
ejpam-6653	207	27	to	to	ADP
ejpam-6653	207	28	simpler	simple	ADJ
ejpam-6653	207	29	one	one	NUM
ejpam-6653	207	30	-	-	PUNCT
ejpam-6653	207	31	parameter	parameter	NOUN
ejpam-6653	207	32	models	model	NOUN
ejpam-6653	207	33	7	7	NUM
ejpam-6653	207	34	.	.	PUNCT
ejpam-6653	207	35	reliability	reliability	NOUN
ejpam-6653	207	36	properties	property	NOUN
ejpam-6653	207	37	in	in	ADP
ejpam-6653	207	38	reliability	reliability	NOUN
ejpam-6653	207	39	engineering	engineering	NOUN
ejpam-6653	207	40	,	,	PUNCT
ejpam-6653	207	41	a	a	DET
ejpam-6653	207	42	batch	batch	NOUN
ejpam-6653	207	43	of	of	ADP
ejpam-6653	207	44	products	product	NOUN
ejpam-6653	207	45	may	may	AUX
ejpam-6653	207	46	contain	contain	VERB
ejpam-6653	207	47	both	both	DET
ejpam-6653	207	48	weaker	weak	ADJ
ejpam-6653	207	49	items	item	NOUN
ejpam-6653	207	50	(	(	PUNCT
ejpam-6653	207	51	e.g.	e.g.	ADV
ejpam-6653	207	52	,	,	PUNCT
ejpam-6653	207	53	gamma(2	gamma(2	NOUN
ejpam-6653	207	54	,	,	PUNCT
ejpam-6653	207	55	θ	θ	NOUN
ejpam-6653	207	56	)	)	PUNCT
ejpam-6653	207	57	)	)	PUNCT
ejpam-6653	207	58	and	and	CCONJ
ejpam-6653	207	59	stronger	strong	ADJ
ejpam-6653	207	60	items	item	NOUN
ejpam-6653	207	61	(	(	PUNCT
ejpam-6653	207	62	long	long	ADV
ejpam-6653	207	63	-	-	PUNCT
ejpam-6653	207	64	lasting	last	VERB
ejpam-6653	207	65	gamma(3	gamma(3	NOUN
ejpam-6653	207	66	,	,	PUNCT
ejpam-6653	207	67	θ	θ	NOUN
ejpam-6653	207	68	)	)	PUNCT
ejpam-6653	207	69	)	)	PUNCT
ejpam-6653	207	70	.	.	PUNCT
ejpam-6653	208	1	similarly	similarly	ADV
ejpam-6653	208	2	,	,	PUNCT
ejpam-6653	208	3	in	in	ADP
ejpam-6653	208	4	the	the	DET
ejpam-6653	208	5	medical	medical	ADJ
ejpam-6653	208	6	field	field	NOUN
ejpam-6653	208	7	,	,	PUNCT
ejpam-6653	208	8	the	the	DET
ejpam-6653	208	9	patients	patient	NOUN
ejpam-6653	208	10	’	'	PUNCT
ejpam-6653	208	11	survival	survival	NOUN
ejpam-6653	208	12	times	time	NOUN
ejpam-6653	208	13	may	may	AUX
ejpam-6653	208	14	be	be	AUX
ejpam-6653	208	15	a	a	DET
ejpam-6653	208	16	mixture	mixture	NOUN
ejpam-6653	208	17	of	of	ADP
ejpam-6653	208	18	fast	fast	ADJ
ejpam-6653	208	19	progressors	progressor	NOUN
ejpam-6653	208	20	and	and	CCONJ
ejpam-6653	208	21	slow	slow	ADJ
ejpam-6653	208	22	progressors	progressor	NOUN
ejpam-6653	208	23	,	,	PUNCT
ejpam-6653	208	24	etc	etc	X
ejpam-6653	208	25	.	.	X
ejpam-6653	209	1	a	a	DET
ejpam-6653	209	2	mixture	mixture	NOUN
ejpam-6653	209	3	allows	allow	VERB
ejpam-6653	209	4	non	non	ADJ
ejpam-6653	209	5	-	-	ADJ
ejpam-6653	209	6	monotone	monotone	ADJ
ejpam-6653	209	7	hazard	hazard	NOUN
ejpam-6653	209	8	rates	rate	NOUN
ejpam-6653	209	9	,	,	PUNCT
ejpam-6653	209	10	which	which	PRON
ejpam-6653	209	11	are	be	AUX
ejpam-6653	209	12	often	often	ADV
ejpam-6653	209	13	observed	observe	VERB
ejpam-6653	209	14	in	in	ADP
ejpam-6653	209	15	practice	practice	NOUN
ejpam-6653	209	16	but	but	CCONJ
ejpam-6653	209	17	impossible	impossible	ADJ
ejpam-6653	209	18	with	with	ADP
ejpam-6653	209	19	simple	simple	ADJ
ejpam-6653	209	20	one	one	NUM
ejpam-6653	209	21	-	-	PUNCT
ejpam-6653	209	22	parameter	parameter	NOUN
ejpam-6653	209	23	models	model	NOUN
ejpam-6653	209	24	.	.	PUNCT
ejpam-6653	210	1	so	so	ADV
ejpam-6653	210	2	mgamma	mgamma	ADJ
ejpam-6653	210	3	distribution	distribution	NOUN
ejpam-6653	210	4	is	be	AUX
ejpam-6653	210	5	very	very	ADV
ejpam-6653	210	6	much	much	ADV
ejpam-6653	210	7	suitable	suitable	ADJ
ejpam-6653	210	8	in	in	ADP
ejpam-6653	210	9	this	this	DET
ejpam-6653	210	10	field	field	NOUN
ejpam-6653	210	11	with	with	ADP
ejpam-6653	210	12	singleparameter	singleparameter	NOUN
ejpam-6653	210	13	and	and	CCONJ
ejpam-6653	210	14	mixture	mixture	NOUN
ejpam-6653	210	15	distributions	distribution	NOUN
ejpam-6653	210	16	.	.	PUNCT
ejpam-6653	211	1	the	the	DET
ejpam-6653	211	2	hazard	hazard	NOUN
ejpam-6653	211	3	rate	rate	NOUN
ejpam-6653	211	4	of	of	ADP
ejpam-6653	211	5	mgamma	mgamma	PROPN
ejpam-6653	211	6	distribution	distribution	NOUN
ejpam-6653	211	7	is	be	AUX
ejpam-6653	211	8	h(x	h(x	PROPN
ejpam-6653	211	9	)	)	PUNCT
ejpam-6653	212	1	=	=	SYM
ejpam-6653	212	2	f(x	f(x	PROPN
ejpam-6653	212	3	)	)	PUNCT
ejpam-6653	212	4	1−	1−	NUM
ejpam-6653	212	5	f	f	X
ejpam-6653	212	6	(	(	PUNCT
ejpam-6653	212	7	x	x	NOUN
ejpam-6653	212	8	)	)	PUNCT
ejpam-6653	212	9	m.	m.	NOUN
ejpam-6653	212	10	i.	i.	PROPN
ejpam-6653	212	11	khan	khan	PROPN
ejpam-6653	212	12	,	,	PUNCT
ejpam-6653	212	13	m.	m.	PROPN
ejpam-6653	212	14	k.	k.	PROPN
ejpam-6653	212	15	ruidas	ruidas	PROPN
ejpam-6653	212	16	/	/	SYM
ejpam-6653	212	17	eur	eur	PROPN
ejpam-6653	212	18	.	.	PUNCT
ejpam-6653	213	1	j.	j.	PROPN
ejpam-6653	213	2	pure	pure	PROPN
ejpam-6653	213	3	appl	appl	PROPN
ejpam-6653	213	4	.	.	PROPN
ejpam-6653	213	5	math	math	PROPN
ejpam-6653	213	6	,	,	PUNCT
ejpam-6653	213	7	18	18	NUM
ejpam-6653	213	8	(	(	PUNCT
ejpam-6653	213	9	4	4	NUM
ejpam-6653	213	10	)	)	PUNCT
ejpam-6653	213	11	(	(	PUNCT
ejpam-6653	213	12	2025	2025	NUM
ejpam-6653	213	13	)	)	PUNCT
ejpam-6653	213	14	,	,	PUNCT
ejpam-6653	213	15	6653	6653	NUM
ejpam-6653	213	16	11	11	NUM
ejpam-6653	213	17	of	of	ADP
ejpam-6653	213	18	22	22	NUM
ejpam-6653	214	1	=	=	SYM
ejpam-6653	214	2	θ3x(1	θ3x(1	PROPN
ejpam-6653	214	3	+	+	PUNCT
ejpam-6653	214	4	x	x	SYM
ejpam-6653	214	5	2	2	X
ejpam-6653	214	6	)	)	PUNCT
ejpam-6653	214	7	e−θx	e−θx	PROPN
ejpam-6653	214	8	[	[	PUNCT
ejpam-6653	214	9	1	1	NUM
ejpam-6653	214	10	+	+	CCONJ
ejpam-6653	214	11	θx	θx	SYM
ejpam-6653	214	12	1	1	NUM
ejpam-6653	214	13	+	+	NUM
ejpam-6653	214	14	θ	θ	NOUN
ejpam-6653	214	15	(	(	PUNCT
ejpam-6653	214	16	1	1	NUM
ejpam-6653	214	17	+	+	NUM
ejpam-6653	214	18	θ	θ	X
ejpam-6653	215	1	+	+	CCONJ
ejpam-6653	215	2	θx	θx	X
ejpam-6653	215	3	2	2	NUM
ejpam-6653	215	4	)	)	PUNCT
ejpam-6653	215	5	]	]	PUNCT
ejpam-6653	216	1	e−θx	e−θx	PROPN
ejpam-6653	216	2	=	=	PUNCT
ejpam-6653	216	3	θ3x	θ3x	NOUN
ejpam-6653	216	4	(	(	PUNCT
ejpam-6653	216	5	1	1	NUM
ejpam-6653	216	6	+	+	CCONJ
ejpam-6653	216	7	x	x	SYM
ejpam-6653	216	8	2	2	X
ejpam-6653	216	9	)	)	PUNCT
ejpam-6653	216	10	[	[	PUNCT
ejpam-6653	216	11	1	1	NUM
ejpam-6653	216	12	+	+	NUM
ejpam-6653	216	13	θ	θ	X
ejpam-6653	216	14	+	+	CCONJ
ejpam-6653	216	15	θx	θx	X
ejpam-6653	216	16	(	(	PUNCT
ejpam-6653	216	17	1	1	NUM
ejpam-6653	216	18	+	+	NUM
ejpam-6653	216	19	θ	θ	X
ejpam-6653	216	20	+	+	CCONJ
ejpam-6653	216	21	θx	θx	X
ejpam-6653	216	22	2	2	NUM
ejpam-6653	216	23	)	)	PUNCT
ejpam-6653	216	24	]	]	PUNCT
ejpam-6653	216	25	from	from	ADP
ejpam-6653	216	26	fig	fig	NOUN
ejpam-6653	216	27	.	.	PUNCT
ejpam-6653	217	1	5	5	NUM
ejpam-6653	217	2	,	,	PUNCT
ejpam-6653	217	3	it	it	PRON
ejpam-6653	217	4	is	be	AUX
ejpam-6653	217	5	evident	evident	ADJ
ejpam-6653	217	6	that	that	SCONJ
ejpam-6653	217	7	unlike	unlike	ADP
ejpam-6653	217	8	the	the	DET
ejpam-6653	217	9	exponential	exponential	ADJ
ejpam-6653	217	10	and	and	CCONJ
ejpam-6653	217	11	lindley	lindley	NOUN
ejpam-6653	217	12	distributions	distribution	NOUN
ejpam-6653	217	13	,	,	PUNCT
ejpam-6653	217	14	the	the	DET
ejpam-6653	217	15	hazard	hazard	NOUN
ejpam-6653	217	16	rate	rate	NOUN
ejpam-6653	217	17	of	of	ADP
ejpam-6653	217	18	the	the	DET
ejpam-6653	217	19	mgamma	mgamma	PROPN
ejpam-6653	217	20	distribution	distribution	NOUN
ejpam-6653	217	21	is	be	AUX
ejpam-6653	217	22	non	non	ADJ
ejpam-6653	217	23	-	-	ADJ
ejpam-6653	217	24	monotone	monotone	ADJ
ejpam-6653	217	25	.	.	PUNCT
ejpam-6653	218	1	(	(	PUNCT
ejpam-6653	218	2	i	i	NOUN
ejpam-6653	218	3	)	)	PUNCT
ejpam-6653	218	4	for	for	ADP
ejpam-6653	218	5	small	small	ADJ
ejpam-6653	218	6	θ	θ	PROPN
ejpam-6653	218	7	,	,	PUNCT
ejpam-6653	218	8	h(x	h(x	PROPN
ejpam-6653	218	9	)	)	PUNCT
ejpam-6653	218	10	is	be	AUX
ejpam-6653	218	11	increasing	increase	VERB
ejpam-6653	218	12	.	.	PUNCT
ejpam-6653	219	1	(	(	PUNCT
ejpam-6653	219	2	ii	ii	NOUN
ejpam-6653	219	3	)	)	PUNCT
ejpam-6653	219	4	for	for	ADP
ejpam-6653	219	5	moderate	moderate	ADJ
ejpam-6653	219	6	θ	θ	PROPN
ejpam-6653	219	7	,	,	PUNCT
ejpam-6653	219	8	h(x	h(x	PROPN
ejpam-6653	219	9	)	)	PUNCT
ejpam-6653	219	10	shows	show	VERB
ejpam-6653	219	11	a	a	DET
ejpam-6653	219	12	bathtub	bathtub	ADJ
ejpam-6653	219	13	shape	shape	NOUN
ejpam-6653	219	14	.	.	PUNCT
ejpam-6653	220	1	(	(	PUNCT
ejpam-6653	220	2	iii	iii	NOUN
ejpam-6653	220	3	)	)	PUNCT
ejpam-6653	220	4	for	for	ADP
ejpam-6653	220	5	large	large	ADJ
ejpam-6653	220	6	θ	θ	PROPN
ejpam-6653	220	7	,	,	PUNCT
ejpam-6653	220	8	h(x	h(x	PROPN
ejpam-6653	220	9	)	)	PUNCT
ejpam-6653	220	10	is	be	AUX
ejpam-6653	220	11	monotone	monotone	ADJ
ejpam-6653	220	12	increasing	increase	VERB
ejpam-6653	220	13	like	like	ADP
ejpam-6653	220	14	lindley	lindley	NOUN
ejpam-6653	220	15	.	.	PUNCT
ejpam-6653	221	1	0	0	NUM
ejpam-6653	221	2	5	5	NUM
ejpam-6653	221	3	10	10	NUM
ejpam-6653	221	4	15	15	NUM
ejpam-6653	221	5	20	20	NUM
ejpam-6653	221	6	0	0	NUM
ejpam-6653	221	7	1	1	NUM
ejpam-6653	221	8	2	2	NUM
ejpam-6653	221	9	3	3	NUM
ejpam-6653	221	10	4	4	NUM
ejpam-6653	221	11	5	5	NUM
ejpam-6653	221	12	hazard	hazard	NOUN
ejpam-6653	221	13	plot	plot	NOUN
ejpam-6653	221	14	of	of	ADP
ejpam-6653	221	15	mgamma	mgamma	ADJ
ejpam-6653	221	16	distribution	distribution	NOUN
ejpam-6653	221	17	x	x	X
ejpam-6653	221	18	h(x	h(x	PROPN
ejpam-6653	221	19	)	)	PUNCT
ejpam-6653	222	1	θ	θ	PROPN
ejpam-6653	223	1	=	=	PUNCT
ejpam-6653	223	2	0.8	0.8	NUM
ejpam-6653	223	3	θ	θ	NOUN
ejpam-6653	223	4	=	=	SYM
ejpam-6653	223	5	1	1	NUM
ejpam-6653	223	6	θ	θ	NOUN
ejpam-6653	223	7	=	=	SYM
ejpam-6653	223	8	3	3	NUM
ejpam-6653	223	9	θ	θ	NOUN
ejpam-6653	223	10	=	=	SYM
ejpam-6653	223	11	0.5	0.5	NUM
ejpam-6653	223	12	figure	figure	NOUN
ejpam-6653	223	13	5	5	NUM
ejpam-6653	223	14	:	:	PUNCT
ejpam-6653	223	15	hazard	hazard	NOUN
ejpam-6653	223	16	plot	plot	NOUN
ejpam-6653	223	17	of	of	ADP
ejpam-6653	223	18	mgamma	mgamma	ADJ
ejpam-6653	223	19	distribution	distribution	NOUN
ejpam-6653	223	20	for	for	ADP
ejpam-6653	223	21	different	different	ADJ
ejpam-6653	223	22	values	value	NOUN
ejpam-6653	223	23	of	of	ADP
ejpam-6653	223	24	θ	θ	PROPN
ejpam-6653	223	25	mean	mean	VERB
ejpam-6653	223	26	remaining	remain	VERB
ejpam-6653	223	27	life	life	NOUN
ejpam-6653	223	28	for	for	ADP
ejpam-6653	223	29	a	a	DET
ejpam-6653	223	30	continuous	continuous	ADJ
ejpam-6653	223	31	random	random	ADJ
ejpam-6653	223	32	variable	variable	NOUN
ejpam-6653	223	33	x	x	PUNCT
ejpam-6653	223	34	with	with	ADP
ejpam-6653	223	35	pdf	pdf	NOUN
ejpam-6653	223	36	f(x	f(x	PROPN
ejpam-6653	223	37	)	)	PUNCT
ejpam-6653	223	38	and	and	CCONJ
ejpam-6653	223	39	cdf	cdf	PROPN
ejpam-6653	223	40	f	f	PROPN
ejpam-6653	223	41	(	(	PUNCT
ejpam-6653	223	42	x	x	X
ejpam-6653	223	43	)	)	PUNCT
ejpam-6653	223	44	,	,	PUNCT
ejpam-6653	223	45	the	the	DET
ejpam-6653	223	46	mean	mean	ADJ
ejpam-6653	223	47	residual	residual	ADJ
ejpam-6653	223	48	life	life	NOUN
ejpam-6653	223	49	(	(	PUNCT
ejpam-6653	223	50	mrl	mrl	PROPN
ejpam-6653	223	51	)	)	PUNCT
ejpam-6653	223	52	function	function	NOUN
ejpam-6653	223	53	is	be	AUX
ejpam-6653	223	54	defined	define	VERB
ejpam-6653	223	55	as	as	ADP
ejpam-6653	223	56	m(x	m(x	PROPN
ejpam-6653	223	57	)	)	PUNCT
ejpam-6653	224	1	=	=	SYM
ejpam-6653	224	2	e[(x	e[(x	NOUN
ejpam-6653	224	3	−	−	PROPN
ejpam-6653	224	4	x)|x	x)|x	VERB
ejpam-6653	224	5	>	>	X
ejpam-6653	225	1	x	x	X
ejpam-6653	225	2	]	]	X
ejpam-6653	225	3	m.	m.	PROPN
ejpam-6653	225	4	i.	i.	PROPN
ejpam-6653	225	5	khan	khan	PROPN
ejpam-6653	225	6	,	,	PUNCT
ejpam-6653	225	7	m.	m.	PROPN
ejpam-6653	225	8	k.	k.	PROPN
ejpam-6653	225	9	ruidas	ruidas	PROPN
ejpam-6653	225	10	/	/	SYM
ejpam-6653	225	11	eur	eur	PROPN
ejpam-6653	225	12	.	.	PUNCT
ejpam-6653	226	1	j.	j.	PROPN
ejpam-6653	226	2	pure	pure	PROPN
ejpam-6653	226	3	appl	appl	PROPN
ejpam-6653	226	4	.	.	PROPN
ejpam-6653	226	5	math	math	PROPN
ejpam-6653	226	6	,	,	PUNCT
ejpam-6653	226	7	18	18	NUM
ejpam-6653	226	8	(	(	PUNCT
ejpam-6653	226	9	4	4	NUM
ejpam-6653	226	10	)	)	PUNCT
ejpam-6653	226	11	(	(	PUNCT
ejpam-6653	226	12	2025	2025	NUM
ejpam-6653	226	13	)	)	PUNCT
ejpam-6653	226	14	,	,	PUNCT
ejpam-6653	226	15	6653	6653	NUM
ejpam-6653	226	16	12	12	NUM
ejpam-6653	226	17	of	of	ADP
ejpam-6653	226	18	22	22	NUM
ejpam-6653	226	19	=	=	SYM
ejpam-6653	226	20	1	1	NUM
ejpam-6653	226	21	1−	1−	NUM
ejpam-6653	226	22	f	f	X
ejpam-6653	226	23	(	(	PUNCT
ejpam-6653	226	24	x	x	X
ejpam-6653	226	25	)	)	PUNCT
ejpam-6653	226	26	∫	∫	PROPN
ejpam-6653	226	27	∞	∞	NUM
ejpam-6653	226	28	x	x	PUNCT
ejpam-6653	227	1	[	[	X
ejpam-6653	227	2	1−	1−	NUM
ejpam-6653	227	3	f	f	NOUN
ejpam-6653	227	4	(	(	PUNCT
ejpam-6653	227	5	t)]dt	t)]dt	NUM
ejpam-6653	227	6	=	=	SYM
ejpam-6653	227	7	∫∞	∫∞	NOUN
ejpam-6653	227	8	x	x	INTJ
ejpam-6653	227	9	f̄	f̄	PROPN
ejpam-6653	227	10	(	(	PUNCT
ejpam-6653	227	11	t)dt	t)dt	PROPN
ejpam-6653	227	12	f̄	f̄	PROPN
ejpam-6653	227	13	(	(	PUNCT
ejpam-6653	227	14	x	x	NOUN
ejpam-6653	227	15	)	)	PUNCT
ejpam-6653	227	16	where	where	SCONJ
ejpam-6653	227	17	,	,	PUNCT
ejpam-6653	227	18	f̄	f̄	PROPN
ejpam-6653	227	19	(	(	PUNCT
ejpam-6653	227	20	t	t	PROPN
ejpam-6653	227	21	)	)	PUNCT
ejpam-6653	227	22	=	=	PUNCT
ejpam-6653	227	23	(	(	PUNCT
ejpam-6653	227	24	1	1	X
ejpam-6653	227	25	+	+	CCONJ
ejpam-6653	227	26	θt	θt	PROPN
ejpam-6653	227	27	1	1	NUM
ejpam-6653	227	28	+	+	NUM
ejpam-6653	227	29	θ	θ	PROPN
ejpam-6653	227	30	(	(	PUNCT
ejpam-6653	227	31	1	1	NUM
ejpam-6653	227	32	+	+	NUM
ejpam-6653	227	33	θ	θ	X
ejpam-6653	227	34	+	+	CCONJ
ejpam-6653	227	35	θt	θt	PROPN
ejpam-6653	227	36	2	2	NUM
ejpam-6653	227	37	)	)	PUNCT
ejpam-6653	227	38	e−θt	e−θt	NOUN
ejpam-6653	227	39	and	and	CCONJ
ejpam-6653	227	40	,	,	PUNCT
ejpam-6653	227	41	∫	∫	PROPN
ejpam-6653	228	1	∞	∞	PROPN
ejpam-6653	228	2	x	x	X
ejpam-6653	228	3	f̄	f̄	NOUN
ejpam-6653	228	4	(	(	PUNCT
ejpam-6653	229	1	t)dt	t)dt	PROPN
ejpam-6653	229	2	=	=	SYM
ejpam-6653	229	3	1	1	NUM
ejpam-6653	229	4	1	1	NUM
ejpam-6653	229	5	+	+	NUM
ejpam-6653	229	6	θ	θ	NOUN
ejpam-6653	229	7	(	(	PUNCT
ejpam-6653	229	8	(	(	PUNCT
ejpam-6653	229	9	1	1	NUM
ejpam-6653	229	10	+	+	SYM
ejpam-6653	229	11	θ)x+	θ)x+	NUM
ejpam-6653	229	12	2(1	2(1	NUM
ejpam-6653	229	13	+	+	CCONJ
ejpam-6653	229	14	θ	θ	NOUN
ejpam-6653	229	15	)	)	PUNCT
ejpam-6653	229	16	θ	θ	PROPN
ejpam-6653	230	1	+	+	PUNCT
ejpam-6653	230	2	x+	x+	SYM
ejpam-6653	230	3	1	1	NUM
ejpam-6653	230	4	θ	θ	NOUN
ejpam-6653	230	5	+	+	CCONJ
ejpam-6653	230	6	θx2	θx2	NOUN
ejpam-6653	230	7	2	2	NUM
ejpam-6653	230	8	)	)	PUNCT
ejpam-6653	230	9	(	(	PUNCT
ejpam-6653	230	10	6	6	NUM
ejpam-6653	230	11	)	)	PUNCT
ejpam-6653	230	12	for	for	ADP
ejpam-6653	230	13	the	the	DET
ejpam-6653	230	14	mgamma	mgamma	PROPN
ejpam-6653	230	15	distribution	distribution	NOUN
ejpam-6653	230	16	the	the	DET
ejpam-6653	230	17	mrl	mrl	PROPN
ejpam-6653	230	18	function	function	NOUN
ejpam-6653	230	19	is	be	AUX
ejpam-6653	230	20	given	give	VERB
ejpam-6653	230	21	by	by	ADP
ejpam-6653	230	22	m(x	m(x	NOUN
ejpam-6653	230	23	)	)	PUNCT
ejpam-6653	230	24	=	=	PUNCT
ejpam-6653	231	1	(	(	PUNCT
ejpam-6653	231	2	1	1	NUM
ejpam-6653	231	3	+	+	SYM
ejpam-6653	231	4	θ)x+	θ)x+	NUM
ejpam-6653	231	5	2(1	2(1	NUM
ejpam-6653	231	6	+	+	CCONJ
ejpam-6653	231	7	θ	θ	NOUN
ejpam-6653	231	8	)	)	PUNCT
ejpam-6653	231	9	θ	θ	PROPN
ejpam-6653	232	1	+	+	PUNCT
ejpam-6653	232	2	x+	x+	SYM
ejpam-6653	232	3	1	1	NUM
ejpam-6653	232	4	θ	θ	NOUN
ejpam-6653	232	5	+	+	CCONJ
ejpam-6653	232	6	θx2	θx2	NOUN
ejpam-6653	232	7	2	2	NUM
ejpam-6653	232	8	1	1	NUM
ejpam-6653	232	9	+	+	NUM
ejpam-6653	232	10	θ	θ	PROPN
ejpam-6653	233	1	+	+	CCONJ
ejpam-6653	233	2	θx(1	θx(1	PROPN
ejpam-6653	233	3	+	+	ADJ
ejpam-6653	233	4	θ	θ	PROPN
ejpam-6653	233	5	+	+	NUM
ejpam-6653	233	6	θx/2	θx/2	NOUN
ejpam-6653	233	7	)	)	PUNCT
ejpam-6653	233	8	figure	figure	NOUN
ejpam-6653	233	9	6	6	NUM
ejpam-6653	233	10	shows	show	VERB
ejpam-6653	233	11	mrl	mrl	PROPN
ejpam-6653	233	12	functions	function	NOUN
ejpam-6653	233	13	for	for	ADP
ejpam-6653	233	14	different	different	ADJ
ejpam-6653	233	15	choices	choice	NOUN
ejpam-6653	233	16	of	of	ADP
ejpam-6653	233	17	θ	θ	PROPN
ejpam-6653	233	18	.	.	NOUN
ejpam-6653	233	19	0	0	NUM
ejpam-6653	233	20	2	2	NUM
ejpam-6653	233	21	4	4	NUM
ejpam-6653	233	22	6	6	NUM
ejpam-6653	233	23	8	8	NUM
ejpam-6653	233	24	10	10	NUM
ejpam-6653	233	25	0	0	NUM
ejpam-6653	233	26	1	1	NUM
ejpam-6653	233	27	2	2	NUM
ejpam-6653	233	28	3	3	NUM
ejpam-6653	233	29	4	4	NUM
ejpam-6653	233	30	5	5	NUM
ejpam-6653	233	31	mean	mean	ADJ
ejpam-6653	233	32	remaining	remain	VERB
ejpam-6653	233	33	life	life	NOUN
ejpam-6653	233	34	of	of	ADP
ejpam-6653	233	35	mgamma	mgamma	ADJ
ejpam-6653	233	36	distribution	distribution	NOUN
ejpam-6653	233	37	x	x	PUNCT
ejpam-6653	233	38	mr	mr	PROPN
ejpam-6653	233	39	l(x	l(x	PROPN
ejpam-6653	233	40	)	)	PUNCT
ejpam-6653	233	41	θ	θ	PROPN
ejpam-6653	233	42	=	=	PUNCT
ejpam-6653	234	1	0.8	0.8	NUM
ejpam-6653	234	2	θ	θ	NOUN
ejpam-6653	234	3	=	=	SYM
ejpam-6653	234	4	1	1	NUM
ejpam-6653	234	5	θ	θ	NOUN
ejpam-6653	234	6	=	=	SYM
ejpam-6653	234	7	3	3	NUM
ejpam-6653	234	8	θ	θ	NOUN
ejpam-6653	234	9	=	=	SYM
ejpam-6653	234	10	5	5	NUM
ejpam-6653	234	11	figure	figure	NOUN
ejpam-6653	234	12	6	6	NUM
ejpam-6653	234	13	:	:	PUNCT
ejpam-6653	234	14	mrl	mrl	PROPN
ejpam-6653	234	15	plot	plot	NOUN
ejpam-6653	234	16	of	of	ADP
ejpam-6653	234	17	mgamma	mgamma	ADJ
ejpam-6653	234	18	distribution	distribution	NOUN
ejpam-6653	234	19	for	for	ADP
ejpam-6653	234	20	different	different	ADJ
ejpam-6653	234	21	values	value	NOUN
ejpam-6653	234	22	of	of	ADP
ejpam-6653	234	23	θ	θ	PROPN
ejpam-6653	234	24	from	from	ADP
ejpam-6653	234	25	the	the	DET
ejpam-6653	234	26	plot	plot	NOUN
ejpam-6653	234	27	we	we	PRON
ejpam-6653	234	28	found	find	VERB
ejpam-6653	234	29	that	that	SCONJ
ejpam-6653	234	30	(	(	PUNCT
ejpam-6653	234	31	i	i	NOUN
ejpam-6653	234	32	)	)	PUNCT
ejpam-6653	234	33	for	for	ADP
ejpam-6653	234	34	x	x	SYM
ejpam-6653	234	35	=	=	SYM
ejpam-6653	234	36	0	0	NUM
ejpam-6653	234	37	,	,	PUNCT
ejpam-6653	234	38	m(0	m(0	NOUN
ejpam-6653	234	39	)	)	PUNCT
ejpam-6653	234	40	=	=	SYM
ejpam-6653	234	41	µ	µ	NOUN
ejpam-6653	234	42	=	=	SYM
ejpam-6653	234	43	2θ	2θ	NUM
ejpam-6653	234	44	+	+	CCONJ
ejpam-6653	234	45	3	3	NUM
ejpam-6653	234	46	θ(1	θ(1	PROPN
ejpam-6653	234	47	+	+	NUM
ejpam-6653	234	48	θ	θ	NOUN
ejpam-6653	234	49	)	)	PUNCT
ejpam-6653	234	50	which	which	PRON
ejpam-6653	234	51	is	be	AUX
ejpam-6653	234	52	the	the	DET
ejpam-6653	234	53	mean	mean	NOUN
ejpam-6653	234	54	of	of	ADP
ejpam-6653	234	55	mgamma	mgamma	PROPN
ejpam-6653	234	56	.	.	PUNCT
ejpam-6653	235	1	(	(	PUNCT
ejpam-6653	235	2	ii	ii	NOUN
ejpam-6653	235	3	)	)	PUNCT
ejpam-6653	235	4	the	the	DET
ejpam-6653	235	5	mrl(x	mrl(x	PROPN
ejpam-6653	235	6	)	)	PUNCT
ejpam-6653	235	7	decreases	decrease	VERB
ejpam-6653	235	8	with	with	ADP
ejpam-6653	235	9	both	both	CCONJ
ejpam-6653	235	10	x	x	SYM
ejpam-6653	235	11	and	and	CCONJ
ejpam-6653	235	12	θ	θ	PROPN
ejpam-6653	235	13	,	,	PUNCT
ejpam-6653	235	14	indicating	indicate	VERB
ejpam-6653	235	15	that	that	SCONJ
ejpam-6653	235	16	the	the	DET
ejpam-6653	235	17	expected	expect	VERB
ejpam-6653	235	18	remaining	remain	VERB
ejpam-6653	235	19	life	life	NOUN
ejpam-6653	235	20	becomes	become	VERB
ejpam-6653	235	21	shorter	short	ADJ
ejpam-6653	235	22	.	.	PUNCT
ejpam-6653	236	1	m.	m.	NOUN
ejpam-6653	236	2	i.	i.	PROPN
ejpam-6653	236	3	khan	khan	PROPN
ejpam-6653	236	4	,	,	PUNCT
ejpam-6653	236	5	m.	m.	PROPN
ejpam-6653	236	6	k.	k.	PROPN
ejpam-6653	236	7	ruidas	ruidas	PROPN
ejpam-6653	236	8	/	/	SYM
ejpam-6653	236	9	eur	eur	PROPN
ejpam-6653	236	10	.	.	PUNCT
ejpam-6653	237	1	j.	j.	PROPN
ejpam-6653	237	2	pure	pure	PROPN
ejpam-6653	237	3	appl	appl	PROPN
ejpam-6653	237	4	.	.	PROPN
ejpam-6653	237	5	math	math	PROPN
ejpam-6653	237	6	,	,	PUNCT
ejpam-6653	237	7	18	18	NUM
ejpam-6653	237	8	(	(	PUNCT
ejpam-6653	237	9	4	4	NUM
ejpam-6653	237	10	)	)	PUNCT
ejpam-6653	237	11	(	(	PUNCT
ejpam-6653	237	12	2025	2025	NUM
ejpam-6653	237	13	)	)	PUNCT
ejpam-6653	237	14	,	,	PUNCT
ejpam-6653	237	15	6653	6653	NUM
ejpam-6653	237	16	13	13	NUM
ejpam-6653	237	17	of	of	ADP
ejpam-6653	237	18	22	22	NUM
ejpam-6653	237	19	8	8	NUM
ejpam-6653	237	20	.	.	PUNCT
ejpam-6653	238	1	order	order	NOUN
ejpam-6653	238	2	statistics	statistic	NOUN
ejpam-6653	238	3	let	let	VERB
ejpam-6653	238	4	y(1	y(1	PROPN
ejpam-6653	238	5	)	)	PUNCT
ejpam-6653	238	6	,	,	PUNCT
ejpam-6653	238	7	y(2	y(2	PROPN
ejpam-6653	238	8	)	)	PUNCT
ejpam-6653	238	9	,	,	PUNCT
ejpam-6653	238	10	..	..	PUNCT
ejpam-6653	238	11	,	,	PUNCT
ejpam-6653	238	12	y(n	y(n	PROPN
ejpam-6653	238	13	)	)	PUNCT
ejpam-6653	238	14	be	be	VERB
ejpam-6653	238	15	the	the	DET
ejpam-6653	238	16	ordered	order	VERB
ejpam-6653	238	17	random	random	ADJ
ejpam-6653	238	18	sample	sample	NOUN
ejpam-6653	238	19	drawn	draw	VERB
ejpam-6653	238	20	from	from	ADP
ejpam-6653	238	21	the	the	DET
ejpam-6653	238	22	mgamma	mgamma	PROPN
ejpam-6653	238	23	distribution	distribution	NOUN
ejpam-6653	238	24	,	,	PUNCT
ejpam-6653	238	25	then	then	ADV
ejpam-6653	238	26	the	the	DET
ejpam-6653	238	27	c.d.f	c.d.f	NOUN
ejpam-6653	238	28	.	.	PUNCT
ejpam-6653	238	29	and	and	CCONJ
ejpam-6653	238	30	p.d.f	p.d.f	ADJ
ejpam-6653	238	31	.	.	PROPN
ejpam-6653	239	1	of	of	ADP
ejpam-6653	239	2	the	the	DET
ejpam-6653	239	3	rth	rth	PROPN
ejpam-6653	239	4	order	order	NOUN
ejpam-6653	239	5	statistics	statistic	NOUN
ejpam-6653	239	6	is	be	AUX
ejpam-6653	239	7	given	give	VERB
ejpam-6653	239	8	by	by	ADP
ejpam-6653	239	9	gr(y	gr(y	ADJ
ejpam-6653	239	10	)	)	PUNCT
ejpam-6653	240	1	=	=	SYM
ejpam-6653	240	2	n∑	n∑	NOUN
ejpam-6653	240	3	i	i	PRON
ejpam-6653	241	1	=	=	NOUN
ejpam-6653	241	2	r	r	X
ejpam-6653	241	3	(	(	PUNCT
ejpam-6653	241	4	n	n	NOUN
ejpam-6653	241	5	i	i	PRON
ejpam-6653	241	6	)	)	PUNCT
ejpam-6653	242	1	[	[	X
ejpam-6653	242	2	g(y	g(y	X
ejpam-6653	242	3	;	;	PUNCT
ejpam-6653	242	4	θ;λ)]i	θ;λ)]i	X
ejpam-6653	243	1	[	[	X
ejpam-6653	243	2	1−g(y	1−g(y	NUM
ejpam-6653	243	3	;	;	PUNCT
ejpam-6653	243	4	θ;λ)]n−i	θ;λ)]n−i	NOUN
ejpam-6653	243	5	gr(y	gr(y	VERB
ejpam-6653	243	6	)	)	PUNCT
ejpam-6653	243	7	=	=	SYM
ejpam-6653	243	8	n	n	X
ejpam-6653	243	9	!	!	PUNCT
ejpam-6653	244	1	(	(	PUNCT
ejpam-6653	244	2	r	r	NOUN
ejpam-6653	244	3	−	−	PROPN
ejpam-6653	244	4	1)!(n−	1)!(n−	NUM
ejpam-6653	244	5	r	r	NOUN
ejpam-6653	244	6	)	)	PUNCT
ejpam-6653	244	7	!	!	PUNCT
ejpam-6653	245	1	[	[	X
ejpam-6653	245	2	g(y	g(y	NOUN
ejpam-6653	245	3	;	;	PUNCT
ejpam-6653	245	4	θ;λ)]r−1	θ;λ)]r−1	X
ejpam-6653	245	5	[	[	X
ejpam-6653	245	6	1−g(y	1−g(y	NUM
ejpam-6653	245	7	;	;	PUNCT
ejpam-6653	245	8	θ;λ)]n−r	θ;λ)]n−r	VERB
ejpam-6653	245	9	g(y	g(y	NOUN
ejpam-6653	245	10	;	;	PUNCT
ejpam-6653	245	11	θ;λ	θ;λ	NUM
ejpam-6653	245	12	)	)	PUNCT
ejpam-6653	245	13	so	so	ADV
ejpam-6653	245	14	,	,	PUNCT
ejpam-6653	245	15	the	the	DET
ejpam-6653	245	16	p.d.f	p.d.f	NOUN
ejpam-6653	245	17	.	.	PUNCT
ejpam-6653	245	18	and	and	CCONJ
ejpam-6653	245	19	c.d.f	c.d.f	ADJ
ejpam-6653	245	20	.	.	PROPN
ejpam-6653	245	21	of	of	ADP
ejpam-6653	245	22	y(1	y(1	PROPN
ejpam-6653	245	23	)	)	PUNCT
ejpam-6653	245	24	and	and	CCONJ
ejpam-6653	245	25	y(n	y(n	PROPN
ejpam-6653	245	26	)	)	PUNCT
ejpam-6653	245	27	is	be	AUX
ejpam-6653	245	28	given	give	VERB
ejpam-6653	245	29	by	by	ADP
ejpam-6653	245	30	gy1(y	gy1(y	PROPN
ejpam-6653	245	31	)	)	PUNCT
ejpam-6653	246	1	=	=	SYM
ejpam-6653	247	1	nθ3x(1	nθ3x(1	PROPN
ejpam-6653	247	2	+	+	CCONJ
ejpam-6653	247	3	x/2)e−θx	x/2)e−θx	NUM
ejpam-6653	247	4	1	1	NUM
ejpam-6653	247	5	+	+	NUM
ejpam-6653	247	6	θ	θ	X
ejpam-6653	248	1	[	[	X
ejpam-6653	248	2	(	(	PUNCT
ejpam-6653	248	3	1	1	NUM
ejpam-6653	248	4	+	+	CCONJ
ejpam-6653	248	5	θx	θx	PART
ejpam-6653	248	6	1	1	NUM
ejpam-6653	248	7	+	+	NUM
ejpam-6653	248	8	θ	θ	NOUN
ejpam-6653	248	9	(	(	PUNCT
ejpam-6653	248	10	1	1	NUM
ejpam-6653	248	11	+	+	NUM
ejpam-6653	248	12	θ	θ	X
ejpam-6653	249	1	+	+	CCONJ
ejpam-6653	249	2	θx	θx	X
ejpam-6653	249	3	2	2	NUM
ejpam-6653	249	4	)	)	PUNCT
ejpam-6653	249	5	)	)	PUNCT
ejpam-6653	250	1	e−θx	e−θx	PROPN
ejpam-6653	250	2	]	]	X
ejpam-6653	250	3	n−1	n−1	PROPN
ejpam-6653	250	4	gyn(y	gyn(y	PROPN
ejpam-6653	250	5	)	)	PUNCT
ejpam-6653	250	6	=	=	SYM
ejpam-6653	251	1	nθ3x(1	nθ3x(1	PROPN
ejpam-6653	251	2	+	+	CCONJ
ejpam-6653	251	3	x/2)e−θx	x/2)e−θx	NUM
ejpam-6653	251	4	1	1	NUM
ejpam-6653	251	5	+	+	NUM
ejpam-6653	251	6	θ	θ	X
ejpam-6653	251	7	[	[	PUNCT
ejpam-6653	251	8	1−	1−	NUM
ejpam-6653	251	9	(	(	PUNCT
ejpam-6653	251	10	1	1	NUM
ejpam-6653	251	11	+	+	CCONJ
ejpam-6653	251	12	θx	θx	PART
ejpam-6653	251	13	1	1	NUM
ejpam-6653	251	14	+	+	NUM
ejpam-6653	251	15	θ	θ	NOUN
ejpam-6653	251	16	(	(	PUNCT
ejpam-6653	251	17	1	1	NUM
ejpam-6653	251	18	+	+	NUM
ejpam-6653	251	19	θ	θ	X
ejpam-6653	251	20	+	+	CCONJ
ejpam-6653	251	21	θx	θx	X
ejpam-6653	251	22	2	2	NUM
ejpam-6653	251	23	)	)	PUNCT
ejpam-6653	251	24	)	)	PUNCT
ejpam-6653	252	1	e−θx	e−θx	PROPN
ejpam-6653	252	2	]	]	X
ejpam-6653	252	3	n−1	n−1	PROPN
ejpam-6653	252	4	gy1(y	gy1(y	PROPN
ejpam-6653	252	5	)	)	PUNCT
ejpam-6653	252	6	=	=	SYM
ejpam-6653	253	1	1−	1−	NUM
ejpam-6653	254	1	[	[	X
ejpam-6653	254	2	(	(	PUNCT
ejpam-6653	254	3	1	1	NUM
ejpam-6653	254	4	+	+	CCONJ
ejpam-6653	254	5	θx	θx	PART
ejpam-6653	254	6	1	1	NUM
ejpam-6653	254	7	+	+	NUM
ejpam-6653	254	8	θ	θ	NOUN
ejpam-6653	254	9	(	(	PUNCT
ejpam-6653	254	10	1	1	NUM
ejpam-6653	254	11	+	+	NUM
ejpam-6653	254	12	θ	θ	X
ejpam-6653	254	13	+	+	CCONJ
ejpam-6653	254	14	θx	θx	X
ejpam-6653	254	15	2	2	NUM
ejpam-6653	254	16	)	)	PUNCT
ejpam-6653	254	17	)	)	PUNCT
ejpam-6653	255	1	e−θx	e−θx	PROPN
ejpam-6653	255	2	]	]	PUNCT
ejpam-6653	255	3	n	n	X
ejpam-6653	255	4	gyn(y	gyn(y	NOUN
ejpam-6653	255	5	)	)	PUNCT
ejpam-6653	256	1	=	=	PUNCT
ejpam-6653	257	1	[	[	PUNCT
ejpam-6653	257	2	1−	1−	NUM
ejpam-6653	257	3	(	(	PUNCT
ejpam-6653	257	4	1	1	NUM
ejpam-6653	257	5	+	+	CCONJ
ejpam-6653	257	6	θx	θx	PART
ejpam-6653	257	7	1	1	NUM
ejpam-6653	257	8	+	+	NUM
ejpam-6653	257	9	θ	θ	NOUN
ejpam-6653	257	10	(	(	PUNCT
ejpam-6653	257	11	1	1	NUM
ejpam-6653	257	12	+	+	NUM
ejpam-6653	257	13	θ	θ	X
ejpam-6653	258	1	+	+	CCONJ
ejpam-6653	258	2	θx	θx	X
ejpam-6653	258	3	2	2	NUM
ejpam-6653	258	4	)	)	PUNCT
ejpam-6653	258	5	)	)	PUNCT
ejpam-6653	259	1	e−θx	e−θx	PROPN
ejpam-6653	259	2	]	]	X
ejpam-6653	259	3	n	n	CCONJ
ejpam-6653	259	4	9	9	NUM
ejpam-6653	259	5	.	.	PUNCT
ejpam-6653	260	1	estimation	estimation	NOUN
ejpam-6653	260	2	of	of	ADP
ejpam-6653	260	3	the	the	DET
ejpam-6653	260	4	parameters	parameter	NOUN
ejpam-6653	260	5	here	here	ADV
ejpam-6653	260	6	we	we	PRON
ejpam-6653	260	7	discuss	discuss	VERB
ejpam-6653	260	8	two	two	NUM
ejpam-6653	260	9	estimation	estimation	NOUN
ejpam-6653	260	10	methods	method	NOUN
ejpam-6653	260	11	viz	viz	PROPN
ejpam-6653	260	12	.	.	PUNCT
ejpam-6653	261	1	(	(	PUNCT
ejpam-6653	261	2	i	i	NOUN
ejpam-6653	261	3	)	)	PUNCT
ejpam-6653	261	4	method	method	NOUN
ejpam-6653	261	5	of	of	ADP
ejpam-6653	261	6	moments	moment	NOUN
ejpam-6653	261	7	and	and	CCONJ
ejpam-6653	261	8	(	(	PUNCT
ejpam-6653	261	9	ii	ii	NOUN
ejpam-6653	261	10	)	)	PUNCT
ejpam-6653	261	11	methods	method	NOUN
ejpam-6653	261	12	of	of	ADP
ejpam-6653	261	13	maximum	maximum	ADJ
ejpam-6653	261	14	likelihood	likelihood	NOUN
ejpam-6653	261	15	estimation	estimation	NOUN
ejpam-6653	261	16	.	.	PUNCT
ejpam-6653	262	1	9.1	9.1	NUM
ejpam-6653	262	2	.	.	PUNCT
ejpam-6653	262	3	method	method	NOUN
ejpam-6653	262	4	of	of	ADP
ejpam-6653	262	5	moment	moment	NOUN
ejpam-6653	262	6	let	let	VERB
ejpam-6653	262	7	x1	x1	NUM
ejpam-6653	262	8	,	,	PUNCT
ejpam-6653	262	9	x2	x2	PROPN
ejpam-6653	262	10	,	,	PUNCT
ejpam-6653	262	11	x3	x3	ADJ
ejpam-6653	262	12	,	,	PUNCT
ejpam-6653	262	13	..	..	PUNCT
ejpam-6653	262	14	,	,	PUNCT
ejpam-6653	262	15	xn	xn	PROPN
ejpam-6653	262	16	be	be	AUX
ejpam-6653	262	17	a	a	DET
ejpam-6653	262	18	random	random	ADJ
ejpam-6653	262	19	sample	sample	NOUN
ejpam-6653	262	20	of	of	ADP
ejpam-6653	262	21	size	size	NOUN
ejpam-6653	262	22	n	n	CCONJ
ejpam-6653	262	23	drawn	draw	VERB
ejpam-6653	262	24	from	from	ADP
ejpam-6653	262	25	the	the	DET
ejpam-6653	262	26	equation	equation	NOUN
ejpam-6653	262	27	(	(	PUNCT
ejpam-6653	262	28	1	1	NUM
ejpam-6653	262	29	)	)	PUNCT
ejpam-6653	262	30	.	.	PUNCT
ejpam-6653	263	1	we	we	PRON
ejpam-6653	263	2	compare	compare	VERB
ejpam-6653	263	3	the	the	DET
ejpam-6653	263	4	sample	sample	NOUN
ejpam-6653	263	5	mean	mean	VERB
ejpam-6653	263	6	x̄	x̄	PUNCT
ejpam-6653	264	1	=	=	SYM
ejpam-6653	264	2	1	1	NUM
ejpam-6653	264	3	n	n	NUM
ejpam-6653	264	4	∑n	∑n	PROPN
ejpam-6653	264	5	i=1	i=1	X
ejpam-6653	264	6	xi	xi	PROPN
ejpam-6653	264	7	with	with	ADP
ejpam-6653	264	8	the	the	DET
ejpam-6653	264	9	first	first	ADJ
ejpam-6653	264	10	order	order	NOUN
ejpam-6653	264	11	raw	raw	ADJ
ejpam-6653	264	12	moment	moment	NOUN
ejpam-6653	264	13	µ1	µ1	PROPN
ejpam-6653	264	14	′	′	NOUN
ejpam-6653	264	15	to	to	PART
ejpam-6653	264	16	get	get	VERB
ejpam-6653	264	17	the	the	DET
ejpam-6653	264	18	mom	mom	NOUN
ejpam-6653	264	19	estimator	estimator	NOUN
ejpam-6653	264	20	of	of	ADP
ejpam-6653	264	21	θ	θ	PROPN
ejpam-6653	264	22	as	as	ADP
ejpam-6653	264	23	θmom	θmom	NOUN
ejpam-6653	264	24	=	=	SYM
ejpam-6653	264	25	1	1	NUM
ejpam-6653	264	26	2x̄	2x̄	NUM
ejpam-6653	264	27	(	(	PUNCT
ejpam-6653	264	28	−x̄+	−x̄+	ADV
ejpam-6653	264	29	√	√	ADP
ejpam-6653	264	30	x̄2	x̄2	X
ejpam-6653	265	1	+	+	CCONJ
ejpam-6653	265	2	8x̄+	8x̄+	NUM
ejpam-6653	265	3	4	4	NUM
ejpam-6653	265	4	+	+	NUM
ejpam-6653	265	5	2	2	NUM
ejpam-6653	265	6	)	)	PUNCT
ejpam-6653	265	7	,	,	PUNCT
ejpam-6653	265	8	x	x	X
ejpam-6653	265	9	>	>	X
ejpam-6653	265	10	0	0	PUNCT
ejpam-6653	266	1	the	the	DET
ejpam-6653	266	2	method	method	NOUN
ejpam-6653	266	3	of	of	ADP
ejpam-6653	266	4	moment	moment	NOUN
ejpam-6653	266	5	estimator	estimator	NOUN
ejpam-6653	266	6	θmom	θmom	PROPN
ejpam-6653	266	7	is	be	AUX
ejpam-6653	266	8	positively	positively	ADV
ejpam-6653	266	9	biased	bias	VERB
ejpam-6653	266	10	,	,	PUNCT
ejpam-6653	266	11	consistent	consistent	ADJ
ejpam-6653	266	12	and	and	CCONJ
ejpam-6653	266	13	asymptotically	asymptotically	ADV
ejpam-6653	266	14	normal	normal	ADJ
ejpam-6653	266	15	.	.	PUNCT
ejpam-6653	267	1	for	for	ADP
ejpam-6653	267	2	large	large	ADJ
ejpam-6653	267	3	sample	sample	NOUN
ejpam-6653	267	4	the	the	DET
ejpam-6653	267	5	100(1	100(1	NUM
ejpam-6653	267	6	-	-	PUNCT
ejpam-6653	267	7	α)%	α)%	NOUN
ejpam-6653	267	8	confidence	confidence	NOUN
ejpam-6653	267	9	interval	interval	NOUN
ejpam-6653	267	10	of	of	ADP
ejpam-6653	267	11	θ	θ	PROPN
ejpam-6653	267	12	is	be	AUX
ejpam-6653	267	13	given	give	VERB
ejpam-6653	267	14	by	by	ADP
ejpam-6653	267	15	θ	θ	PROPN
ejpam-6653	267	16	±	±	NUM
ejpam-6653	267	17	zα	zα	NUM
ejpam-6653	267	18	2	2	NUM
ejpam-6653	267	19	√	√	NUM
ejpam-6653	267	20	1	1	NUM
ejpam-6653	267	21	nσ2	nσ2	NOUN
ejpam-6653	267	22	m.	m.	PROPN
ejpam-6653	267	23	i.	i.	PROPN
ejpam-6653	267	24	khan	khan	PROPN
ejpam-6653	267	25	,	,	PUNCT
ejpam-6653	267	26	m.	m.	PROPN
ejpam-6653	267	27	k.	k.	PROPN
ejpam-6653	267	28	ruidas	ruidas	PROPN
ejpam-6653	267	29	/	/	SYM
ejpam-6653	267	30	eur	eur	PROPN
ejpam-6653	267	31	.	.	PUNCT
ejpam-6653	268	1	j.	j.	PROPN
ejpam-6653	268	2	pure	pure	PROPN
ejpam-6653	268	3	appl	appl	PROPN
ejpam-6653	268	4	.	.	PROPN
ejpam-6653	268	5	math	math	PROPN
ejpam-6653	268	6	,	,	PUNCT
ejpam-6653	268	7	18	18	NUM
ejpam-6653	268	8	(	(	PUNCT
ejpam-6653	268	9	4	4	NUM
ejpam-6653	268	10	)	)	PUNCT
ejpam-6653	268	11	(	(	PUNCT
ejpam-6653	268	12	2025	2025	NUM
ejpam-6653	268	13	)	)	PUNCT
ejpam-6653	268	14	,	,	PUNCT
ejpam-6653	268	15	6653	6653	NUM
ejpam-6653	268	16	14	14	NUM
ejpam-6653	268	17	of	of	ADP
ejpam-6653	268	18	22	22	NUM
ejpam-6653	268	19	9.2	9.2	NUM
ejpam-6653	268	20	.	.	PUNCT
ejpam-6653	269	1	maximum	maximum	ADJ
ejpam-6653	269	2	likelihood	likelihood	NOUN
ejpam-6653	269	3	estimation	estimation	NOUN
ejpam-6653	269	4	let	let	VERB
ejpam-6653	269	5	x1	x1	NUM
ejpam-6653	269	6	,	,	PUNCT
ejpam-6653	269	7	x2	x2	PROPN
ejpam-6653	269	8	,	,	PUNCT
ejpam-6653	269	9	...	...	PUNCT
ejpam-6653	269	10	,	,	PUNCT
ejpam-6653	269	11	xn	xn	PROPN
ejpam-6653	269	12	be	be	AUX
ejpam-6653	269	13	a	a	DET
ejpam-6653	269	14	random	random	ADJ
ejpam-6653	269	15	sample	sample	NOUN
ejpam-6653	269	16	of	of	ADP
ejpam-6653	269	17	size	size	NOUN
ejpam-6653	269	18	n	n	CCONJ
ejpam-6653	269	19	drawn	draw	VERB
ejpam-6653	269	20	independently	independently	ADV
ejpam-6653	269	21	from	from	ADP
ejpam-6653	269	22	the	the	DET
ejpam-6653	269	23	pdf	pdf	NOUN
ejpam-6653	269	24	1	1	NUM
ejpam-6653	269	25	.	.	PUNCT
ejpam-6653	270	1	the	the	DET
ejpam-6653	270	2	maximum	maximum	ADJ
ejpam-6653	270	3	likelihood	likelihood	NOUN
ejpam-6653	270	4	estimator	estimator	NOUN
ejpam-6653	270	5	(	(	PUNCT
ejpam-6653	270	6	mle	mle	PROPN
ejpam-6653	270	7	)	)	PUNCT
ejpam-6653	270	8	of	of	ADP
ejpam-6653	270	9	θ	θ	PROPN
ejpam-6653	270	10	is	be	AUX
ejpam-6653	270	11	given	give	VERB
ejpam-6653	270	12	by	by	ADP
ejpam-6653	270	13	l(θ|x1	l(θ|x1	PROPN
ejpam-6653	270	14	,	,	PUNCT
ejpam-6653	270	15	x2	x2	PROPN
ejpam-6653	270	16	,	,	PUNCT
ejpam-6653	270	17	..	..	PUNCT
ejpam-6653	270	18	,	,	PUNCT
ejpam-6653	270	19	xn	xn	X
ejpam-6653	270	20	)	)	PUNCT
ejpam-6653	271	1	=	=	PUNCT
ejpam-6653	271	2	n∏	n∏	PROPN
ejpam-6653	271	3	i=1	i=1	PROPN
ejpam-6653	271	4	θ3xi(1	θ3xi(1	NOUN
ejpam-6653	272	1	+	+	CCONJ
ejpam-6653	272	2	xi/2)e	xi/2)e	PUNCT
ejpam-6653	272	3	−θxi	−θxi	NOUN
ejpam-6653	273	1	1	1	NUM
ejpam-6653	273	2	+	+	NUM
ejpam-6653	273	3	θ	θ	NOUN
ejpam-6653	273	4	the	the	DET
ejpam-6653	273	5	log	log	NOUN
ejpam-6653	273	6	likelihood	likelihood	NOUN
ejpam-6653	273	7	equation	equation	NOUN
ejpam-6653	273	8	is	be	AUX
ejpam-6653	273	9	as	as	SCONJ
ejpam-6653	273	10	follows	follow	VERB
ejpam-6653	273	11	l(θ|x	l(θ|x	NUM
ejpam-6653	273	12	)	)	PUNCT
ejpam-6653	273	13	=	=	SYM
ejpam-6653	274	1	3nlog(θ)−	3nlog(θ)−	NUM
ejpam-6653	274	2	nlog(1	nlog(1	NOUN
ejpam-6653	274	3	+	+	CCONJ
ejpam-6653	274	4	θ	θ	X
ejpam-6653	274	5	)	)	PUNCT
ejpam-6653	275	1	+	+	CCONJ
ejpam-6653	275	2	n∑	n∑	NOUN
ejpam-6653	275	3	i	i	PRON
ejpam-6653	275	4	log	log	VERB
ejpam-6653	276	1	[	[	X
ejpam-6653	276	2	xi(1	xi(1	X
ejpam-6653	276	3	+	+	CCONJ
ejpam-6653	277	1	xi/2)]−	xi/2)]−	PROPN
ejpam-6653	277	2	θ	θ	PROPN
ejpam-6653	277	3	n∑	n∑	PROPN
ejpam-6653	278	1	i	i	PRON
ejpam-6653	278	2	xi	xi	INTJ
ejpam-6653	278	3	(	(	PUNCT
ejpam-6653	278	4	7	7	NUM
ejpam-6653	278	5	)	)	PUNCT
ejpam-6653	278	6	to	to	PART
ejpam-6653	278	7	have	have	VERB
ejpam-6653	278	8	the	the	DET
ejpam-6653	278	9	maximum	maximum	ADJ
ejpam-6653	278	10	likelihood	likelihood	NOUN
ejpam-6653	278	11	estimator	estimator	NOUN
ejpam-6653	278	12	of	of	ADP
ejpam-6653	278	13	θ	θ	PROPN
ejpam-6653	278	14	,	,	PUNCT
ejpam-6653	278	15	we	we	PRON
ejpam-6653	278	16	have	have	VERB
ejpam-6653	278	17	to	to	PART
ejpam-6653	278	18	solve	solve	VERB
ejpam-6653	278	19	i(θ|x	i(θ|x	NUM
ejpam-6653	278	20	)	)	PUNCT
ejpam-6653	278	21	=	=	SYM
ejpam-6653	279	1	∂l(θ|x	∂l(θ|x	X
ejpam-6653	279	2	)	)	PUNCT
ejpam-6653	279	3	∂θ	∂θ	PROPN
ejpam-6653	280	1	=	=	SYM
ejpam-6653	280	2	0	0	NUM
ejpam-6653	280	3	,	,	PUNCT
ejpam-6653	280	4	hence	hence	ADV
ejpam-6653	280	5	,	,	PUNCT
ejpam-6653	280	6	we	we	PRON
ejpam-6653	280	7	have	have	VERB
ejpam-6653	280	8	3n	3n	NUM
ejpam-6653	280	9	θ	θ	PROPN
ejpam-6653	280	10	−	−	NOUN
ejpam-6653	281	1	n	n	CCONJ
ejpam-6653	282	1	1	1	NUM
ejpam-6653	283	1	+	+	NUM
ejpam-6653	283	2	θ	θ	PROPN
ejpam-6653	283	3	−	−	PROPN
ejpam-6653	284	1	n∑	n∑	INTJ
ejpam-6653	284	2	i=1	i=1	INTJ
ejpam-6653	284	3	xi	xi	X
ejpam-6653	285	1	=	=	NOUN
ejpam-6653	285	2	0	0	NUM
ejpam-6653	285	3	using	use	VERB
ejpam-6653	285	4	newton	newton	PROPN
ejpam-6653	285	5	-	-	PUNCT
ejpam-6653	285	6	raphson	raphson	PROPN
ejpam-6653	285	7	iteration	iteration	NOUN
ejpam-6653	285	8	method	method	NOUN
ejpam-6653	285	9	,	,	PUNCT
ejpam-6653	285	10	we	we	PRON
ejpam-6653	285	11	find	find	VERB
ejpam-6653	285	12	the	the	DET
ejpam-6653	285	13	θ̂mle	θ̂mle	NOUN
ejpam-6653	285	14	for	for	ADP
ejpam-6653	285	15	which	which	PRON
ejpam-6653	285	16	the	the	DET
ejpam-6653	285	17	log	log	NOUN
ejpam-6653	285	18	-	-	PUNCT
ejpam-6653	285	19	likelihood	likelihood	NOUN
ejpam-6653	285	20	equation	equation	NOUN
ejpam-6653	285	21	is	be	AUX
ejpam-6653	285	22	maximized	maximize	VERB
ejpam-6653	285	23	.	.	PUNCT
ejpam-6653	286	1	the	the	DET
ejpam-6653	286	2	initial	initial	ADJ
ejpam-6653	286	3	solution	solution	NOUN
ejpam-6653	286	4	for	for	ADP
ejpam-6653	286	5	the	the	DET
ejpam-6653	286	6	iteration	iteration	NOUN
ejpam-6653	286	7	method	method	NOUN
ejpam-6653	286	8	is	be	AUX
ejpam-6653	286	9	θ0	θ0	NOUN
ejpam-6653	286	10	=	=	SYM
ejpam-6653	286	11	2	2	NUM
ejpam-6653	286	12	x̄	x̄	NOUN
ejpam-6653	286	13	.	.	PUNCT
ejpam-6653	287	1	we	we	PRON
ejpam-6653	287	2	continue	continue	VERB
ejpam-6653	287	3	the	the	DET
ejpam-6653	287	4	iteration	iteration	NOUN
ejpam-6653	287	5	process	process	NOUN
ejpam-6653	287	6	θ(i	θ(i	PROPN
ejpam-6653	287	7	)	)	PUNCT
ejpam-6653	287	8	=	=	SYM
ejpam-6653	287	9	θ(i−1	θ(i−1	PROPN
ejpam-6653	287	10	)	)	PUNCT
ejpam-6653	287	11	−	−	NOUN
ejpam-6653	287	12	i(θ(i−1)|x	i(θ(i−1)|x	NOUN
ejpam-6653	287	13	)	)	PUNCT
ejpam-6653	287	14	i	i	PRON
ejpam-6653	287	15	′(θ(i−1)|x	′(θ(i−1)|x	NOUN
ejpam-6653	287	16	)	)	PUNCT
ejpam-6653	288	1	we	we	PRON
ejpam-6653	288	2	stop	stop	VERB
ejpam-6653	288	3	when	when	SCONJ
ejpam-6653	288	4	θ(i	θ(i	NOUN
ejpam-6653	288	5	)	)	PUNCT
ejpam-6653	288	6	≡	≡	PROPN
ejpam-6653	288	7	θ(i−1	θ(i−1	PROPN
ejpam-6653	288	8	)	)	PUNCT
ejpam-6653	288	9	.	.	PUNCT
ejpam-6653	289	1	all	all	DET
ejpam-6653	289	2	computations	computation	NOUN
ejpam-6653	289	3	were	be	AUX
ejpam-6653	289	4	performed	perform	VERB
ejpam-6653	289	5	in	in	ADP
ejpam-6653	289	6	the	the	DET
ejpam-6653	289	7	updated	update	VERB
ejpam-6653	289	8	version	version	NOUN
ejpam-6653	289	9	of	of	ADP
ejpam-6653	289	10	r	r	NOUN
ejpam-6653	289	11	software	software	NOUN
ejpam-6653	289	12	[	[	X
ejpam-6653	289	13	19	19	NUM
ejpam-6653	289	14	]	]	PUNCT
ejpam-6653	289	15	,	,	PUNCT
ejpam-6653	289	16	following	follow	VERB
ejpam-6653	289	17	the	the	DET
ejpam-6653	289	18	procedures	procedure	NOUN
ejpam-6653	289	19	book	book	NOUN
ejpam-6653	289	20	[	[	X
ejpam-6653	289	21	20	20	NUM
ejpam-6653	289	22	]	]	PUNCT
ejpam-6653	289	23	.	.	PUNCT
ejpam-6653	290	1	the	the	DET
ejpam-6653	290	2	mle	mle	PROPN
ejpam-6653	290	3	is	be	AUX
ejpam-6653	290	4	consistent	consistent	ADJ
ejpam-6653	290	5	and	and	CCONJ
ejpam-6653	290	6	asymptotically	asymptotically	ADV
ejpam-6653	290	7	normal	normal	ADJ
ejpam-6653	290	8	under	under	ADP
ejpam-6653	290	9	standard	standard	ADJ
ejpam-6653	290	10	regularity	regularity	NOUN
ejpam-6653	290	11	conditions	condition	NOUN
ejpam-6653	290	12	(	(	PUNCT
ejpam-6653	290	13	iid	iid	VERB
ejpam-6653	290	14	samples	sample	NOUN
ejpam-6653	290	15	,	,	PUNCT
ejpam-6653	290	16	differentiability	differentiability	NOUN
ejpam-6653	290	17	of	of	ADP
ejpam-6653	290	18	likelihood	likelihood	NOUN
ejpam-6653	290	19	)	)	PUNCT
ejpam-6653	290	20	.	.	PUNCT
ejpam-6653	291	1	convergence	convergence	NOUN
ejpam-6653	291	2	of	of	ADP
ejpam-6653	291	3	newton	newton	PROPN
ejpam-6653	291	4	–	–	PUNCT
ejpam-6653	291	5	raphson	raphson	NOUN
ejpam-6653	291	6	is	be	AUX
ejpam-6653	291	7	generally	generally	ADV
ejpam-6653	291	8	fast	fast	ADJ
ejpam-6653	291	9	;	;	PUNCT
ejpam-6653	291	10	in	in	ADP
ejpam-6653	291	11	our	our	PRON
ejpam-6653	291	12	simulation	simulation	NOUN
ejpam-6653	291	13	,	,	PUNCT
ejpam-6653	291	14	it	it	PRON
ejpam-6653	291	15	stabilized	stabilize	VERB
ejpam-6653	291	16	within	within	ADP
ejpam-6653	291	17	4–6	4–6	PROPN
ejpam-6653	291	18	iterations	iteration	NOUN
ejpam-6653	291	19	.	.	PUNCT
ejpam-6653	292	1	10	10	NUM
ejpam-6653	292	2	.	.	X
ejpam-6653	292	3	simulation	simulation	NOUN
ejpam-6653	292	4	study	study	NOUN
ejpam-6653	292	5	to	to	PART
ejpam-6653	292	6	generate	generate	VERB
ejpam-6653	292	7	the	the	DET
ejpam-6653	292	8	random	random	ADJ
ejpam-6653	292	9	sample	sample	NOUN
ejpam-6653	292	10	from	from	ADP
ejpam-6653	292	11	mgamma	mgamma	PROPN
ejpam-6653	292	12	distribution	distribution	NOUN
ejpam-6653	292	13	,	,	PUNCT
ejpam-6653	292	14	we	we	PRON
ejpam-6653	292	15	proceed	proceed	VERB
ejpam-6653	292	16	as	as	SCONJ
ejpam-6653	292	17	follows	follow	VERB
ejpam-6653	292	18	:	:	PUNCT
ejpam-6653	292	19	let	let	VERB
ejpam-6653	292	20	f	f	PROPN
ejpam-6653	292	21	(	(	PUNCT
ejpam-6653	292	22	x	x	X
ejpam-6653	292	23	)	)	PUNCT
ejpam-6653	293	1	=	=	SYM
ejpam-6653	293	2	p	p	NOUN
ejpam-6653	293	3	,	,	PUNCT
ejpam-6653	293	4	where	where	SCONJ
ejpam-6653	293	5	p	p	NOUN
ejpam-6653	293	6	follows	follow	VERB
ejpam-6653	293	7	uniform(0	uniform(0	NOUN
ejpam-6653	293	8	,	,	PUNCT
ejpam-6653	293	9	1	1	NUM
ejpam-6653	293	10	)	)	PUNCT
ejpam-6653	293	11	.	.	PUNCT
ejpam-6653	294	1	we	we	PRON
ejpam-6653	294	2	choose	choose	VERB
ejpam-6653	294	3	the	the	DET
ejpam-6653	294	4	solution	solution	NOUN
ejpam-6653	294	5	that	that	PRON
ejpam-6653	294	6	lies	lie	VERB
ejpam-6653	294	7	in	in	ADP
ejpam-6653	294	8	(	(	PUNCT
ejpam-6653	294	9	0	0	NUM
ejpam-6653	294	10	,	,	PUNCT
ejpam-6653	294	11	1	1	NUM
ejpam-6653	294	12	)	)	PUNCT
ejpam-6653	294	13	.	.	PUNCT
ejpam-6653	295	1	here	here	ADV
ejpam-6653	295	2	g(x	g(x	NOUN
ejpam-6653	295	3	)	)	PUNCT
ejpam-6653	295	4	is	be	AUX
ejpam-6653	295	5	the	the	DET
ejpam-6653	295	6	cdf	cdf	PROPN
ejpam-6653	295	7	of	of	ADP
ejpam-6653	295	8	mgamma	mgamma	PROPN
ejpam-6653	295	9	random	random	ADJ
ejpam-6653	295	10	variable	variable	NOUN
ejpam-6653	295	11	.	.	PUNCT
ejpam-6653	296	1	then	then	ADV
ejpam-6653	296	2	,	,	PUNCT
ejpam-6653	296	3	we	we	PRON
ejpam-6653	296	4	follow	follow	VERB
ejpam-6653	296	5	the	the	DET
ejpam-6653	296	6	approach	approach	NOUN
ejpam-6653	296	7	of	of	ADP
ejpam-6653	296	8	generating	generate	VERB
ejpam-6653	296	9	sample	sample	NOUN
ejpam-6653	296	10	from	from	ADP
ejpam-6653	296	11	mgamma	mgamma	PROPN
ejpam-6653	296	12	distribution	distribution	NOUN
ejpam-6653	296	13	.	.	PUNCT
ejpam-6653	297	1	hence	hence	ADV
ejpam-6653	297	2	the	the	DET
ejpam-6653	297	3	algorithm	algorithm	NOUN
ejpam-6653	297	4	is	be	AUX
ejpam-6653	297	5	1	1	NUM
ejpam-6653	297	6	.	.	PUNCT
ejpam-6653	297	7	generate	generate	VERB
ejpam-6653	297	8	pi	pi	NOUN
ejpam-6653	297	9	∼	∼	NOUN
ejpam-6653	297	10	uniform(0	uniform(0	NOUN
ejpam-6653	297	11	,	,	PUNCT
ejpam-6653	297	12	1	1	NUM
ejpam-6653	297	13	)	)	PUNCT
ejpam-6653	297	14	,	,	PUNCT
ejpam-6653	297	15	i	i	PRON
ejpam-6653	297	16	=	=	NOUN
ejpam-6653	297	17	1	1	NUM
ejpam-6653	297	18	,	,	PUNCT
ejpam-6653	297	19	2	2	NUM
ejpam-6653	297	20	,	,	PUNCT
ejpam-6653	297	21	.	.	PUNCT
ejpam-6653	297	22	.	.	PUNCT
ejpam-6653	298	1	.	.	PUNCT
ejpam-6653	299	1	,	,	PUNCT
ejpam-6653	299	2	n.	n.	NOUN
ejpam-6653	299	3	2	2	NUM
ejpam-6653	299	4	.	.	PUNCT
ejpam-6653	299	5	generate	generate	VERB
ejpam-6653	299	6	vi	vi	NOUN
ejpam-6653	299	7	∼	∼	NOUN
ejpam-6653	299	8	gamma(2	gamma(2	NOUN
ejpam-6653	299	9	,	,	PUNCT
ejpam-6653	299	10	θ	θ	PROPN
ejpam-6653	299	11	)	)	PUNCT
ejpam-6653	299	12	,	,	PUNCT
ejpam-6653	299	13	i	i	PRON
ejpam-6653	299	14	=	=	NOUN
ejpam-6653	299	15	1	1	NUM
ejpam-6653	299	16	,	,	PUNCT
ejpam-6653	299	17	2	2	NUM
ejpam-6653	299	18	,	,	PUNCT
ejpam-6653	299	19	.	.	PUNCT
ejpam-6653	299	20	.	.	PUNCT
ejpam-6653	300	1	.	.	PUNCT
ejpam-6653	301	1	,	,	PUNCT
ejpam-6653	301	2	n.	n.	NOUN
ejpam-6653	301	3	3	3	NUM
ejpam-6653	301	4	.	.	PUNCT
ejpam-6653	301	5	generate	generate	VERB
ejpam-6653	301	6	wi	wi	PROPN
ejpam-6653	301	7	∼	∼	NOUN
ejpam-6653	301	8	gamma(3	gamma(3	NOUN
ejpam-6653	301	9	,	,	PUNCT
ejpam-6653	301	10	θ	θ	NOUN
ejpam-6653	301	11	)	)	PUNCT
ejpam-6653	301	12	,	,	PUNCT
ejpam-6653	301	13	i	i	PRON
ejpam-6653	301	14	=	=	NOUN
ejpam-6653	301	15	1	1	NUM
ejpam-6653	301	16	,	,	PUNCT
ejpam-6653	301	17	2	2	NUM
ejpam-6653	301	18	,	,	PUNCT
ejpam-6653	301	19	.	.	PUNCT
ejpam-6653	301	20	.	.	PUNCT
ejpam-6653	302	1	.	.	PUNCT
ejpam-6653	303	1	,	,	PUNCT
ejpam-6653	303	2	n.	n.	NOUN
ejpam-6653	303	3	4	4	NUM
ejpam-6653	303	4	.	.	PUNCT
ejpam-6653	304	1	if	if	SCONJ
ejpam-6653	304	2	ui	ui	PROPN
ejpam-6653	304	3	≤	≤	NUM
ejpam-6653	304	4	θ	θ	PROPN
ejpam-6653	304	5	1+θ	1+θ	NUM
ejpam-6653	304	6	,	,	PUNCT
ejpam-6653	304	7	then	then	ADV
ejpam-6653	304	8	set	set	VERB
ejpam-6653	304	9	xi	xi	X
ejpam-6653	304	10	=	=	SYM
ejpam-6653	304	11	vi	vi	PROPN
ejpam-6653	304	12	.	.	PROPN
ejpam-6653	304	13	otherwise	otherwise	ADV
ejpam-6653	304	14	,	,	PUNCT
ejpam-6653	304	15	set	set	VERB
ejpam-6653	304	16	xi	xi	PROPN
ejpam-6653	304	17	=	=	PROPN
ejpam-6653	304	18	wi	wi	PROPN
ejpam-6653	304	19	.	.	PUNCT
ejpam-6653	304	20	m.	m.	PROPN
ejpam-6653	304	21	i.	i.	PROPN
ejpam-6653	304	22	khan	khan	PROPN
ejpam-6653	304	23	,	,	PUNCT
ejpam-6653	304	24	m.	m.	PROPN
ejpam-6653	304	25	k.	k.	PROPN
ejpam-6653	304	26	ruidas	ruidas	PROPN
ejpam-6653	304	27	/	/	SYM
ejpam-6653	304	28	eur	eur	PROPN
ejpam-6653	304	29	.	.	PUNCT
ejpam-6653	305	1	j.	j.	PROPN
ejpam-6653	305	2	pure	pure	PROPN
ejpam-6653	305	3	appl	appl	PROPN
ejpam-6653	305	4	.	.	PROPN
ejpam-6653	305	5	math	math	PROPN
ejpam-6653	305	6	,	,	PUNCT
ejpam-6653	305	7	18	18	NUM
ejpam-6653	305	8	(	(	PUNCT
ejpam-6653	305	9	4	4	NUM
ejpam-6653	305	10	)	)	PUNCT
ejpam-6653	305	11	(	(	PUNCT
ejpam-6653	305	12	2025	2025	NUM
ejpam-6653	305	13	)	)	PUNCT
ejpam-6653	305	14	,	,	PUNCT
ejpam-6653	305	15	6653	6653	NUM
ejpam-6653	305	16	15	15	NUM
ejpam-6653	305	17	of	of	ADP
ejpam-6653	305	18	22	22	NUM
ejpam-6653	305	19	we	we	PRON
ejpam-6653	305	20	perform	perform	VERB
ejpam-6653	305	21	monte	monte	PROPN
ejpam-6653	305	22	carlo	carlo	PROPN
ejpam-6653	305	23	simulation	simulation	NOUN
ejpam-6653	305	24	in	in	ADP
ejpam-6653	305	25	r	r	NOUN
ejpam-6653	305	26	programming	programming	NOUN
ejpam-6653	305	27	considering	consider	VERB
ejpam-6653	305	28	n=10000	n=10000	PROPN
ejpam-6653	305	29	times	time	NOUN
ejpam-6653	305	30	for	for	ADP
ejpam-6653	305	31	different	different	ADJ
ejpam-6653	305	32	values	value	NOUN
ejpam-6653	305	33	of	of	ADP
ejpam-6653	305	34	n=5	n=5	PROPN
ejpam-6653	305	35	,	,	PUNCT
ejpam-6653	305	36	10	10	NUM
ejpam-6653	305	37	,	,	PUNCT
ejpam-6653	305	38	15	15	NUM
ejpam-6653	305	39	and	and	CCONJ
ejpam-6653	305	40	20	20	NUM
ejpam-6653	305	41	and	and	CCONJ
ejpam-6653	305	42	θ=0.8	θ=0.8	ADJ
ejpam-6653	305	43	,	,	PUNCT
ejpam-6653	305	44	1	1	NUM
ejpam-6653	305	45	,	,	PUNCT
ejpam-6653	305	46	2	2	NUM
ejpam-6653	305	47	and	and	CCONJ
ejpam-6653	305	48	3	3	NUM
ejpam-6653	305	49	.	.	PUNCT
ejpam-6653	306	1	the	the	DET
ejpam-6653	306	2	following	follow	VERB
ejpam-6653	306	3	two	two	NUM
ejpam-6653	306	4	measures	measure	NOUN
ejpam-6653	306	5	were	be	AUX
ejpam-6653	306	6	computed	compute	VERB
ejpam-6653	306	7	1	1	NUM
ejpam-6653	306	8	.	.	PUNCT
ejpam-6653	306	9	average	average	ADJ
ejpam-6653	306	10	bias	bias	NOUN
ejpam-6653	306	11	of	of	ADP
ejpam-6653	306	12	the	the	DET
ejpam-6653	306	13	simulated	simulate	VERB
ejpam-6653	306	14	estimates	estimate	NOUN
ejpam-6653	306	15	θ̂i	θ̂i	ADV
ejpam-6653	306	16	,	,	PUNCT
ejpam-6653	306	17	i	i	PRON
ejpam-6653	306	18	=	=	NOUN
ejpam-6653	306	19	1	1	NUM
ejpam-6653	306	20	,	,	PUNCT
ejpam-6653	306	21	2	2	NUM
ejpam-6653	306	22	,	,	PUNCT
ejpam-6653	306	23	.	.	PUNCT
ejpam-6653	306	24	.	.	PUNCT
ejpam-6653	307	1	.	.	PUNCT
ejpam-6653	308	1	,	,	PUNCT
ejpam-6653	308	2	n	n	CCONJ
ejpam-6653	308	3	:	:	PUNCT
ejpam-6653	308	4	1	1	NUM
ejpam-6653	308	5	n	n	DET
ejpam-6653	308	6	∑n	∑n	PROPN
ejpam-6653	308	7	i=1(θ̂i	i=1(θ̂i	PROPN
ejpam-6653	308	8	−	−	PROPN
ejpam-6653	308	9	θ	θ	NOUN
ejpam-6653	308	10	)	)	PUNCT
ejpam-6653	308	11	2	2	NUM
ejpam-6653	308	12	.	.	X
ejpam-6653	308	13	average	average	ADJ
ejpam-6653	308	14	mean	mean	NOUN
ejpam-6653	308	15	square	square	ADJ
ejpam-6653	308	16	error	error	NOUN
ejpam-6653	308	17	(	(	PUNCT
ejpam-6653	308	18	mse	mse	NOUN
ejpam-6653	308	19	)	)	PUNCT
ejpam-6653	308	20	of	of	ADP
ejpam-6653	308	21	the	the	DET
ejpam-6653	308	22	simulated	simulate	VERB
ejpam-6653	308	23	estimates	estimate	NOUN
ejpam-6653	308	24	θ̂i	θ̂i	ADV
ejpam-6653	308	25	,	,	PUNCT
ejpam-6653	308	26	i	i	PRON
ejpam-6653	308	27	=	=	NOUN
ejpam-6653	308	28	1	1	NUM
ejpam-6653	308	29	,	,	PUNCT
ejpam-6653	308	30	2	2	NUM
ejpam-6653	308	31	,	,	PUNCT
ejpam-6653	308	32	.	.	PUNCT
ejpam-6653	308	33	.	.	PUNCT
ejpam-6653	309	1	.	.	PUNCT
ejpam-6653	310	1	,	,	PUNCT
ejpam-6653	310	2	n	n	CCONJ
ejpam-6653	310	3	:	:	PUNCT
ejpam-6653	310	4	1	1	NUM
ejpam-6653	310	5	n	n	PRON
ejpam-6653	310	6	∑n	∑n	PROPN
ejpam-6653	310	7	i=1(θ̂i	i=1(θ̂i	PROPN
ejpam-6653	310	8	−	−	PROPN
ejpam-6653	310	9	θ)2	θ)2	NOUN
ejpam-6653	310	10	figure	figure	NOUN
ejpam-6653	310	11	7	7	NUM
ejpam-6653	310	12	:	:	PUNCT
ejpam-6653	310	13	mse	mse	NOUN
ejpam-6653	310	14	plot	plot	NOUN
ejpam-6653	310	15	of	of	ADP
ejpam-6653	310	16	mgamma	mgamma	ADJ
ejpam-6653	310	17	distribution	distribution	NOUN
ejpam-6653	310	18	for	for	ADP
ejpam-6653	310	19	different	different	ADJ
ejpam-6653	310	20	value	value	NOUN
ejpam-6653	310	21	of	of	ADP
ejpam-6653	310	22	θ	θ	PROPN
ejpam-6653	310	23	it	it	PRON
ejpam-6653	310	24	is	be	AUX
ejpam-6653	310	25	observed	observe	VERB
ejpam-6653	310	26	that	that	SCONJ
ejpam-6653	310	27	both	both	CCONJ
ejpam-6653	310	28	the	the	DET
ejpam-6653	310	29	mse	mse	NOUN
ejpam-6653	310	30	and	and	CCONJ
ejpam-6653	310	31	bias	bias	NOUN
ejpam-6653	310	32	decrease	decrease	NOUN
ejpam-6653	310	33	as	as	SCONJ
ejpam-6653	310	34	the	the	DET
ejpam-6653	310	35	sample	sample	NOUN
ejpam-6653	310	36	size	size	NOUN
ejpam-6653	310	37	increases	increase	NOUN
ejpam-6653	310	38	and	and	CCONJ
ejpam-6653	310	39	θ	θ	NOUN
ejpam-6653	310	40	decreases	decrease	VERB
ejpam-6653	310	41	.	.	PUNCT
ejpam-6653	311	1	11	11	NUM
ejpam-6653	311	2	.	.	PUNCT
ejpam-6653	312	1	data	datum	NOUN
ejpam-6653	312	2	analysis	analysis	NOUN
ejpam-6653	312	3	in	in	ADP
ejpam-6653	312	4	this	this	DET
ejpam-6653	312	5	section	section	NOUN
ejpam-6653	312	6	,	,	PUNCT
ejpam-6653	312	7	we	we	PRON
ejpam-6653	312	8	have	have	AUX
ejpam-6653	312	9	compared	compare	VERB
ejpam-6653	312	10	our	our	PRON
ejpam-6653	312	11	proposed	propose	VERB
ejpam-6653	312	12	model	model	NOUN
ejpam-6653	312	13	with	with	ADP
ejpam-6653	312	14	the	the	DET
ejpam-6653	312	15	existing	exist	VERB
ejpam-6653	312	16	one	one	NUM
ejpam-6653	312	17	-	-	PUNCT
ejpam-6653	312	18	parameter	parameter	NOUN
ejpam-6653	312	19	distributions	distribution	NOUN
ejpam-6653	312	20	by	by	ADP
ejpam-6653	312	21	fitting	fit	VERB
ejpam-6653	312	22	some	some	DET
ejpam-6653	312	23	real	real	ADJ
ejpam-6653	312	24	-	-	PUNCT
ejpam-6653	312	25	life	life	NOUN
ejpam-6653	312	26	datasets	dataset	NOUN
ejpam-6653	312	27	.	.	PUNCT
ejpam-6653	313	1	the	the	DET
ejpam-6653	313	2	first	first	ADJ
ejpam-6653	313	3	dataset	dataset	NOUN
ejpam-6653	313	4	is	be	AUX
ejpam-6653	313	5	obtained	obtain	VERB
ejpam-6653	313	6	from	from	ADP
ejpam-6653	313	7	smith	smith	PROPN
ejpam-6653	313	8	and	and	CCONJ
ejpam-6653	313	9	naylor	naylor	PROPN
ejpam-6653	313	10	(	(	PUNCT
ejpam-6653	313	11	1987	1987	NUM
ejpam-6653	313	12	)	)	PUNCT
ejpam-6653	314	1	[	[	X
ejpam-6653	314	2	21	21	NUM
ejpam-6653	314	3	]	]	X
ejpam-6653	314	4	,	,	PUNCT
ejpam-6653	314	5	which	which	PRON
ejpam-6653	314	6	represents	represent	VERB
ejpam-6653	314	7	the	the	DET
ejpam-6653	314	8	strength	strength	NOUN
ejpam-6653	314	9	of	of	ADP
ejpam-6653	314	10	1.5	1.5	NUM
ejpam-6653	314	11	cm	cm	NOUN
ejpam-6653	314	12	glass	glass	NOUN
ejpam-6653	314	13	fibres	fibre	NOUN
ejpam-6653	314	14	,	,	PUNCT
ejpam-6653	314	15	measured	measure	VERB
ejpam-6653	314	16	at	at	ADP
ejpam-6653	314	17	the	the	DET
ejpam-6653	314	18	national	national	PROPN
ejpam-6653	314	19	physical	physical	PROPN
ejpam-6653	314	20	laboratory	laboratory	PROPN
ejpam-6653	314	21	,	,	PUNCT
ejpam-6653	314	22	england	england	PROPN
ejpam-6653	314	23	.	.	PUNCT
ejpam-6653	315	1	the	the	DET
ejpam-6653	315	2	second	second	ADJ
ejpam-6653	315	3	dataset	dataset	NOUN
ejpam-6653	315	4	is	be	AUX
ejpam-6653	315	5	taken	take	VERB
ejpam-6653	315	6	from	from	ADP
ejpam-6653	315	7	bakouch	bakouch	ADJ
ejpam-6653	315	8	et	et	NOUN
ejpam-6653	315	9	.	.	PUNCT
ejpam-6653	316	1	al	al	PROPN
ejpam-6653	316	2	(	(	PUNCT
ejpam-6653	316	3	2021)[22	2021)[22	PROPN
ejpam-6653	316	4	]	]	PUNCT
ejpam-6653	316	5	which	which	PRON
ejpam-6653	316	6	concerns	concern	VERB
ejpam-6653	316	7	the	the	DET
ejpam-6653	316	8	exceedances	exceedance	NOUN
ejpam-6653	316	9	of	of	ADP
ejpam-6653	316	10	flood	flood	NOUN
ejpam-6653	316	11	peaks	peak	NOUN
ejpam-6653	316	12	(	(	PUNCT
ejpam-6653	316	13	in	in	ADP
ejpam-6653	316	14	m3	m3	PROPN
ejpam-6653	316	15	/	/	SYM
ejpam-6653	316	16	s	s	PROPN
ejpam-6653	316	17	)	)	PUNCT
ejpam-6653	316	18	of	of	ADP
ejpam-6653	316	19	the	the	DET
ejpam-6653	316	20	wheaton	wheaton	PROPN
ejpam-6653	316	21	river	river	PROPN
ejpam-6653	316	22	near	near	ADP
ejpam-6653	316	23	carcross	carcross	PROPN
ejpam-6653	316	24	in	in	ADP
ejpam-6653	316	25	yukon	yukon	PROPN
ejpam-6653	316	26	territory	territory	PROPN
ejpam-6653	316	27	,	,	PUNCT
ejpam-6653	316	28	canada	canada	PROPN
ejpam-6653	316	29	that	that	PRON
ejpam-6653	316	30	consist	consist	VERB
ejpam-6653	316	31	of	of	ADP
ejpam-6653	316	32	72	72	NUM
ejpam-6653	316	33	exceedances	exceedance	NOUN
ejpam-6653	316	34	for	for	ADP
ejpam-6653	316	35	the	the	DET
ejpam-6653	316	36	years	year	NOUN
ejpam-6653	316	37	1958–1984	1958–1984	NUM
ejpam-6653	316	38	and	and	CCONJ
ejpam-6653	316	39	rounded	round	VERB
ejpam-6653	316	40	to	to	ADP
ejpam-6653	316	41	one	one	NUM
ejpam-6653	316	42	decimal	decimal	ADJ
ejpam-6653	316	43	place	place	NOUN
ejpam-6653	316	44	.	.	PUNCT
ejpam-6653	317	1	the	the	DET
ejpam-6653	317	2	third	third	ADJ
ejpam-6653	317	3	dataset	dataset	NOUN
ejpam-6653	317	4	is	be	AUX
ejpam-6653	317	5	about	about	ADP
ejpam-6653	317	6	the	the	DET
ejpam-6653	317	7	remission	remission	NOUN
ejpam-6653	317	8	times	time	NOUN
ejpam-6653	317	9	(	(	PUNCT
ejpam-6653	317	10	in	in	ADP
ejpam-6653	317	11	weeks	week	NOUN
ejpam-6653	317	12	)	)	PUNCT
ejpam-6653	317	13	for	for	SCONJ
ejpam-6653	317	14	20	20	NUM
ejpam-6653	317	15	leukaemia	leukaemia	NOUN
ejpam-6653	317	16	patients	patient	NOUN
ejpam-6653	317	17	randomly	randomly	ADV
ejpam-6653	317	18	assigned	assign	VERB
ejpam-6653	317	19	to	to	ADP
ejpam-6653	317	20	a	a	DET
ejpam-6653	317	21	certain	certain	ADJ
ejpam-6653	317	22	treatment	treatment	NOUN
ejpam-6653	317	23	taken	take	VERB
ejpam-6653	317	24	from	from	ADP
ejpam-6653	317	25	al	al	PROPN
ejpam-6653	317	26	-	-	PUNCT
ejpam-6653	317	27	babtain	babtain	PROPN
ejpam-6653	317	28	et	et	PROPN
ejpam-6653	317	29	al	al	PROPN
ejpam-6653	317	30	.	.	PROPN
ejpam-6653	318	1	(	(	PUNCT
ejpam-6653	318	2	2020	2020	NUM
ejpam-6653	318	3	)	)	PUNCT
ejpam-6653	319	1	[	[	X
ejpam-6653	319	2	23	23	NUM
ejpam-6653	319	3	]	]	PUNCT
ejpam-6653	319	4	.	.	PUNCT
ejpam-6653	319	5	m.	m.	PROPN
ejpam-6653	319	6	i.	i.	PROPN
ejpam-6653	319	7	khan	khan	PROPN
ejpam-6653	319	8	,	,	PUNCT
ejpam-6653	319	9	m.	m.	PROPN
ejpam-6653	319	10	k.	k.	PROPN
ejpam-6653	319	11	ruidas	ruidas	PROPN
ejpam-6653	319	12	/	/	SYM
ejpam-6653	319	13	eur	eur	PROPN
ejpam-6653	319	14	.	.	PUNCT
ejpam-6653	320	1	j.	j.	PROPN
ejpam-6653	320	2	pure	pure	PROPN
ejpam-6653	320	3	appl	appl	PROPN
ejpam-6653	320	4	.	.	PROPN
ejpam-6653	320	5	math	math	PROPN
ejpam-6653	320	6	,	,	PUNCT
ejpam-6653	320	7	18	18	NUM
ejpam-6653	320	8	(	(	PUNCT
ejpam-6653	320	9	4	4	NUM
ejpam-6653	320	10	)	)	PUNCT
ejpam-6653	320	11	(	(	PUNCT
ejpam-6653	320	12	2025	2025	NUM
ejpam-6653	320	13	)	)	PUNCT
ejpam-6653	320	14	,	,	PUNCT
ejpam-6653	320	15	6653	6653	NUM
ejpam-6653	320	16	16	16	NUM
ejpam-6653	320	17	of	of	ADP
ejpam-6653	320	18	22	22	NUM
ejpam-6653	320	19	figure	figure	NOUN
ejpam-6653	320	20	8	8	NUM
ejpam-6653	320	21	:	:	PUNCT
ejpam-6653	320	22	bias	bias	NOUN
ejpam-6653	320	23	plot	plot	NOUN
ejpam-6653	320	24	of	of	ADP
ejpam-6653	320	25	mgamma	mgamma	ADJ
ejpam-6653	320	26	distribution	distribution	NOUN
ejpam-6653	320	27	for	for	ADP
ejpam-6653	320	28	different	different	ADJ
ejpam-6653	320	29	value	value	NOUN
ejpam-6653	320	30	of	of	ADP
ejpam-6653	320	31	θ	θ	PROPN
ejpam-6653	320	32	the	the	DET
ejpam-6653	320	33	last	last	ADJ
ejpam-6653	320	34	dataset	dataset	NOUN
ejpam-6653	320	35	is	be	AUX
ejpam-6653	320	36	obtained	obtain	VERB
ejpam-6653	320	37	from	from	ADP
ejpam-6653	320	38	sharma	sharma	PROPN
ejpam-6653	320	39	et	et	PROPN
ejpam-6653	320	40	al	al	PROPN
ejpam-6653	320	41	.	.	PROPN
ejpam-6653	320	42	(	(	PUNCT
ejpam-6653	320	43	2017	2017	NUM
ejpam-6653	320	44	)	)	PUNCT
ejpam-6653	321	1	[	[	X
ejpam-6653	321	2	24	24	NUM
ejpam-6653	321	3	]	]	PUNCT
ejpam-6653	321	4	,	,	PUNCT
ejpam-6653	321	5	which	which	PRON
ejpam-6653	321	6	consists	consist	VERB
ejpam-6653	321	7	of	of	ADP
ejpam-6653	321	8	the	the	DET
ejpam-6653	321	9	waiting	waiting	NOUN
ejpam-6653	321	10	time	time	NOUN
ejpam-6653	321	11	(	(	PUNCT
ejpam-6653	321	12	in	in	ADP
ejpam-6653	321	13	mins	min	NOUN
ejpam-6653	321	14	)	)	PUNCT
ejpam-6653	321	15	before	before	ADP
ejpam-6653	321	16	service	service	NOUN
ejpam-6653	321	17	for	for	ADP
ejpam-6653	321	18	100	100	NUM
ejpam-6653	321	19	bank	bank	NOUN
ejpam-6653	321	20	customers	customer	NOUN
ejpam-6653	321	21	.	.	PUNCT
ejpam-6653	322	1	m.	m.	PROPN
ejpam-6653	322	2	i.	i.	PROPN
ejpam-6653	322	3	khan	khan	PROPN
ejpam-6653	322	4	,	,	PUNCT
ejpam-6653	322	5	m.	m.	PROPN
ejpam-6653	322	6	k.	k.	PROPN
ejpam-6653	322	7	ruidas	ruidas	PROPN
ejpam-6653	322	8	/	/	SYM
ejpam-6653	322	9	eur	eur	PROPN
ejpam-6653	322	10	.	.	PUNCT
ejpam-6653	323	1	j.	j.	PROPN
ejpam-6653	323	2	pure	pure	PROPN
ejpam-6653	323	3	appl	appl	PROPN
ejpam-6653	323	4	.	.	PROPN
ejpam-6653	323	5	math	math	PROPN
ejpam-6653	323	6	,	,	PUNCT
ejpam-6653	323	7	18	18	NUM
ejpam-6653	323	8	(	(	PUNCT
ejpam-6653	323	9	4	4	NUM
ejpam-6653	323	10	)	)	PUNCT
ejpam-6653	323	11	(	(	PUNCT
ejpam-6653	323	12	2025	2025	NUM
ejpam-6653	323	13	)	)	PUNCT
ejpam-6653	323	14	,	,	PUNCT
ejpam-6653	323	15	6653	6653	NUM
ejpam-6653	323	16	17	17	NUM
ejpam-6653	323	17	of	of	ADP
ejpam-6653	323	18	22	22	NUM
ejpam-6653	323	19	fitting	fit	VERB
ejpam-6653	323	20	to	to	ADP
ejpam-6653	323	21	strength	strength	NOUN
ejpam-6653	323	22	of	of	ADP
ejpam-6653	323	23	1.5	1.5	NUM
ejpam-6653	323	24	cm	cm	NOUN
ejpam-6653	323	25	glass	glass	NOUN
ejpam-6653	323	26	fibres	fibre	NOUN
ejpam-6653	323	27	strength	strength	NOUN
ejpam-6653	323	28	(	(	PUNCT
ejpam-6653	323	29	in	in	ADP
ejpam-6653	323	30	cms	cms	NOUN
ejpam-6653	323	31	)	)	PUNCT
ejpam-6653	323	32	fr	fr	NOUN
ejpam-6653	324	1	e	e	NOUN
ejpam-6653	324	2	q	q	PUNCT
ejpam-6653	324	3	u	u	X
ejpam-6653	324	4	e	e	X
ejpam-6653	324	5	n	n	NOUN
ejpam-6653	324	6	c	c	PROPN
ejpam-6653	324	7	y	y	PROPN
ejpam-6653	324	8	d	d	PROPN
ejpam-6653	324	9	e	e	PROPN
ejpam-6653	324	10	n	n	PROPN
ejpam-6653	324	11	s	s	VERB
ejpam-6653	324	12	it	it	PRON
ejpam-6653	324	13	y	y	NOUN
ejpam-6653	324	14	0	0	NUM
ejpam-6653	324	15	10	10	NUM
ejpam-6653	324	16	20	20	NUM
ejpam-6653	324	17	30	30	NUM
ejpam-6653	324	18	40	40	NUM
ejpam-6653	324	19	50	50	NUM
ejpam-6653	324	20	60	60	NUM
ejpam-6653	324	21	70	70	NUM
ejpam-6653	324	22	0	0	NUM
ejpam-6653	324	23	.0	.0	NUM
ejpam-6653	324	24	0	0	NUM
ejpam-6653	324	25	0	0	NUM
ejpam-6653	324	26	.0	.0	NUM
ejpam-6653	324	27	2	2	NUM
ejpam-6653	324	28	0	0	NUM
ejpam-6653	324	29	.0	.0	NUM
ejpam-6653	324	30	4	4	NUM
ejpam-6653	324	31	exponential	exponential	NOUN
ejpam-6653	324	32	xgamma	xgamma	PROPN
ejpam-6653	324	33	lindley	lindley	PROPN
ejpam-6653	324	34	mgamma	mgamma	PROPN
ejpam-6653	324	35	shanker	shanker	PROPN
ejpam-6653	324	36	akash	akash	PROPN
ejpam-6653	324	37	fitting	fitting	ADJ
ejpam-6653	324	38	exceedence	exceedence	NOUN
ejpam-6653	324	39	of	of	ADP
ejpam-6653	324	40	flood	flood	NOUN
ejpam-6653	324	41	peaks	peak	NOUN
ejpam-6653	324	42	of	of	ADP
ejpam-6653	324	43	the	the	DET
ejpam-6653	324	44	wheaton	wheaton	PROPN
ejpam-6653	324	45	river	river	PROPN
ejpam-6653	324	46	flood	flood	NOUN
ejpam-6653	324	47	peaks	peak	NOUN
ejpam-6653	324	48	(	(	PUNCT
ejpam-6653	324	49	in	in	ADP
ejpam-6653	324	50	m^3	m^3	PROPN
ejpam-6653	324	51	/	/	SYM
ejpam-6653	324	52	s	s	PROPN
ejpam-6653	324	53	)	)	PUNCT
ejpam-6653	324	54	fr	fr	NOUN
ejpam-6653	325	1	e	e	NOUN
ejpam-6653	325	2	q	q	PUNCT
ejpam-6653	325	3	u	u	X
ejpam-6653	325	4	e	e	X
ejpam-6653	325	5	n	n	NOUN
ejpam-6653	325	6	c	c	PROPN
ejpam-6653	325	7	y	y	PROPN
ejpam-6653	325	8	d	d	PROPN
ejpam-6653	325	9	e	e	PROPN
ejpam-6653	325	10	n	n	PROPN
ejpam-6653	325	11	s	s	VERB
ejpam-6653	325	12	it	it	PRON
ejpam-6653	325	13	y	y	NOUN
ejpam-6653	325	14	0	0	NUM
ejpam-6653	325	15	10	10	NUM
ejpam-6653	325	16	20	20	NUM
ejpam-6653	325	17	30	30	NUM
ejpam-6653	325	18	40	40	NUM
ejpam-6653	325	19	50	50	NUM
ejpam-6653	325	20	60	60	NUM
ejpam-6653	325	21	70	70	NUM
ejpam-6653	325	22	0	0	NUM
ejpam-6653	325	23	.0	.0	NUM
ejpam-6653	325	24	0	0	NUM
ejpam-6653	325	25	0	0	NUM
ejpam-6653	325	26	.0	.0	NUM
ejpam-6653	325	27	4	4	NUM
ejpam-6653	325	28	0	0	NUM
ejpam-6653	325	29	.0	.0	NUM
ejpam-6653	325	30	8	8	NUM
ejpam-6653	325	31	exponential	exponential	NOUN
ejpam-6653	325	32	xgamma	xgamma	PROPN
ejpam-6653	325	33	lindley	lindley	PROPN
ejpam-6653	325	34	mgamma	mgamma	PROPN
ejpam-6653	325	35	shanker	shanker	PROPN
ejpam-6653	325	36	akash	akash	PROPN
ejpam-6653	325	37	fitting	fitting	ADJ
ejpam-6653	325	38	of	of	ADP
ejpam-6653	325	39	remission	remission	NOUN
ejpam-6653	325	40	times	time	NOUN
ejpam-6653	325	41	for	for	ADP
ejpam-6653	325	42	20	20	NUM
ejpam-6653	325	43	leukaemia	leukaemia	NOUN
ejpam-6653	325	44	patients	patient	NOUN
ejpam-6653	325	45	times	time	NOUN
ejpam-6653	325	46	(	(	PUNCT
ejpam-6653	325	47	in	in	ADP
ejpam-6653	325	48	weeks	week	NOUN
ejpam-6653	325	49	)	)	PUNCT
ejpam-6653	326	1	fr	fr	NOUN
ejpam-6653	327	1	e	e	NOUN
ejpam-6653	327	2	q	q	PUNCT
ejpam-6653	327	3	u	u	X
ejpam-6653	327	4	e	e	X
ejpam-6653	327	5	n	n	NOUN
ejpam-6653	327	6	c	c	PROPN
ejpam-6653	327	7	y	y	PROPN
ejpam-6653	327	8	d	d	PROPN
ejpam-6653	327	9	e	e	PROPN
ejpam-6653	327	10	n	n	PROPN
ejpam-6653	327	11	s	s	VERB
ejpam-6653	327	12	it	it	PRON
ejpam-6653	327	13	y	y	NOUN
ejpam-6653	327	14	0	0	NUM
ejpam-6653	327	15	10	10	NUM
ejpam-6653	327	16	20	20	NUM
ejpam-6653	327	17	30	30	NUM
ejpam-6653	327	18	40	40	NUM
ejpam-6653	327	19	50	50	NUM
ejpam-6653	327	20	0	0	NUM
ejpam-6653	327	21	.0	.0	NUM
ejpam-6653	327	22	0	0	NUM
ejpam-6653	327	23	0	0	NUM
ejpam-6653	327	24	.0	.0	NUM
ejpam-6653	327	25	4	4	NUM
ejpam-6653	327	26	0	0	NUM
ejpam-6653	327	27	.0	.0	NUM
ejpam-6653	327	28	8	8	NUM
ejpam-6653	327	29	exponential	exponential	NOUN
ejpam-6653	327	30	xgamma	xgamma	PROPN
ejpam-6653	327	31	lindley	lindley	PROPN
ejpam-6653	327	32	mgamma	mgamma	PROPN
ejpam-6653	327	33	shanker	shanker	PROPN
ejpam-6653	327	34	akash	akash	PROPN
ejpam-6653	327	35	fitting	fitting	ADJ
ejpam-6653	327	36	waiting	waiting	NOUN
ejpam-6653	327	37	time	time	NOUN
ejpam-6653	327	38	before	before	ADP
ejpam-6653	327	39	service	service	NOUN
ejpam-6653	327	40	of	of	ADP
ejpam-6653	327	41	100	100	NUM
ejpam-6653	327	42	bank	bank	NOUN
ejpam-6653	327	43	customers	customer	NOUN
ejpam-6653	327	44	time(in	time(in	NOUN
ejpam-6653	327	45	mins	min	NOUN
ejpam-6653	327	46	)	)	PUNCT
ejpam-6653	328	1	fr	fr	NOUN
ejpam-6653	329	1	e	e	NOUN
ejpam-6653	329	2	q	q	PUNCT
ejpam-6653	329	3	u	u	X
ejpam-6653	329	4	e	e	X
ejpam-6653	329	5	n	n	NOUN
ejpam-6653	329	6	c	c	PROPN
ejpam-6653	329	7	y	y	PROPN
ejpam-6653	329	8	d	d	PROPN
ejpam-6653	329	9	e	e	PROPN
ejpam-6653	329	10	n	n	PROPN
ejpam-6653	329	11	s	s	VERB
ejpam-6653	329	12	it	it	PRON
ejpam-6653	329	13	y	y	NOUN
ejpam-6653	329	14	0	0	NUM
ejpam-6653	329	15	10	10	NUM
ejpam-6653	329	16	20	20	NUM
ejpam-6653	329	17	30	30	NUM
ejpam-6653	329	18	40	40	NUM
ejpam-6653	329	19	0	0	NUM
ejpam-6653	329	20	.0	.0	NUM
ejpam-6653	329	21	0	0	NUM
ejpam-6653	329	22	0	0	NUM
ejpam-6653	329	23	.0	.0	NUM
ejpam-6653	329	24	4	4	NUM
ejpam-6653	329	25	0	0	NUM
ejpam-6653	329	26	.0	.0	NUM
ejpam-6653	329	27	8	8	NUM
ejpam-6653	329	28	exponential	exponential	NOUN
ejpam-6653	329	29	xgamma	xgamma	PROPN
ejpam-6653	329	30	lindley	lindley	PROPN
ejpam-6653	329	31	mgamma	mgamma	PROPN
ejpam-6653	329	32	shanker	shanker	PROPN
ejpam-6653	329	33	akash	akash	PROPN
ejpam-6653	329	34	figure	figure	NOUN
ejpam-6653	329	35	9	9	NUM
ejpam-6653	329	36	:	:	PUNCT
ejpam-6653	329	37	histogram	histogram	NOUN
ejpam-6653	329	38	and	and	CCONJ
ejpam-6653	329	39	fitted	fit	VERB
ejpam-6653	329	40	densities	density	NOUN
ejpam-6653	329	41	for	for	ADP
ejpam-6653	329	42	all	all	DET
ejpam-6653	329	43	the	the	DET
ejpam-6653	329	44	four	four	NUM
ejpam-6653	329	45	datasets	dataset	NOUN
ejpam-6653	329	46	.	.	PUNCT
ejpam-6653	330	1	m.	m.	PROPN
ejpam-6653	330	2	i.	i.	PROPN
ejpam-6653	330	3	khan	khan	PROPN
ejpam-6653	330	4	,	,	PUNCT
ejpam-6653	330	5	m.	m.	PROPN
ejpam-6653	330	6	k.	k.	PROPN
ejpam-6653	330	7	ruidas	ruidas	PROPN
ejpam-6653	330	8	/	/	SYM
ejpam-6653	330	9	eur	eur	PROPN
ejpam-6653	330	10	.	.	PUNCT
ejpam-6653	331	1	j.	j.	PROPN
ejpam-6653	331	2	pure	pure	PROPN
ejpam-6653	331	3	appl	appl	PROPN
ejpam-6653	331	4	.	.	PROPN
ejpam-6653	331	5	math	math	PROPN
ejpam-6653	331	6	,	,	PUNCT
ejpam-6653	331	7	18	18	NUM
ejpam-6653	331	8	(	(	PUNCT
ejpam-6653	331	9	4	4	NUM
ejpam-6653	331	10	)	)	PUNCT
ejpam-6653	331	11	(	(	PUNCT
ejpam-6653	331	12	2025	2025	NUM
ejpam-6653	331	13	)	)	PUNCT
ejpam-6653	331	14	,	,	PUNCT
ejpam-6653	331	15	6653	6653	NUM
ejpam-6653	331	16	18	18	NUM
ejpam-6653	331	17	of	of	ADP
ejpam-6653	331	18	22	22	NUM
ejpam-6653	331	19	0	0	NUM
ejpam-6653	331	20	200	200	NUM
ejpam-6653	331	21	400	400	NUM
ejpam-6653	331	22	600	600	NUM
ejpam-6653	331	23	100	100	NUM
ejpam-6653	331	24	200	200	NUM
ejpam-6653	331	25	300	300	NUM
ejpam-6653	331	26	400	400	NUM
ejpam-6653	331	27	theoretical	theoretical	ADJ
ejpam-6653	331	28	quantiles	quantile	NOUN
ejpam-6653	331	29	(	(	PUNCT
ejpam-6653	331	30	mgamma	mgamma	PROPN
ejpam-6653	331	31	)	)	PUNCT
ejpam-6653	332	1	e	e	NOUN
ejpam-6653	332	2	m	m	PROPN
ejpam-6653	332	3	p	p	NOUN
ejpam-6653	332	4	ir	ir	PROPN
ejpam-6653	332	5	ic	ic	PROPN
ejpam-6653	332	6	a	a	DET
ejpam-6653	332	7	l	l	NOUN
ejpam-6653	332	8	q	q	X
ejpam-6653	332	9	u	u	NOUN
ejpam-6653	332	10	a	a	DET
ejpam-6653	332	11	n	n	NOUN
ejpam-6653	332	12	ti	ti	X
ejpam-6653	332	13	le	le	X
ejpam-6653	332	14	s	s	X
ejpam-6653	332	15	(	(	PUNCT
ejpam-6653	332	16	d	d	X
ejpam-6653	332	17	a	a	DET
ejpam-6653	332	18	ta	ta	PROPN
ejpam-6653	332	19	)	)	PUNCT
ejpam-6653	332	20	qq	qq	PROPN
ejpam-6653	332	21	plot	plot	NOUN
ejpam-6653	332	22	for	for	ADP
ejpam-6653	332	23	mgamma	mgamma	PROPN
ejpam-6653	332	24	distribution	distribution	NOUN
ejpam-6653	332	25	0	0	NUM
ejpam-6653	332	26	20	20	NUM
ejpam-6653	332	27	40	40	NUM
ejpam-6653	332	28	60	60	NUM
ejpam-6653	332	29	0	0	NUM
ejpam-6653	332	30	10	10	NUM
ejpam-6653	332	31	20	20	NUM
ejpam-6653	332	32	30	30	NUM
ejpam-6653	332	33	theoretical	theoretical	ADJ
ejpam-6653	332	34	quantiles	quantile	NOUN
ejpam-6653	332	35	(	(	PUNCT
ejpam-6653	332	36	mgamma	mgamma	PROPN
ejpam-6653	332	37	)	)	PUNCT
ejpam-6653	332	38	e	e	NOUN
ejpam-6653	332	39	m	m	PROPN
ejpam-6653	332	40	p	p	NOUN
ejpam-6653	332	41	ir	ir	PROPN
ejpam-6653	332	42	ic	ic	PROPN
ejpam-6653	332	43	a	a	DET
ejpam-6653	332	44	l	l	NOUN
ejpam-6653	332	45	q	q	X
ejpam-6653	332	46	u	u	NOUN
ejpam-6653	332	47	a	a	DET
ejpam-6653	332	48	n	n	NOUN
ejpam-6653	332	49	ti	ti	X
ejpam-6653	332	50	le	le	X
ejpam-6653	332	51	s	s	X
ejpam-6653	332	52	(	(	PUNCT
ejpam-6653	332	53	d	d	X
ejpam-6653	332	54	a	a	DET
ejpam-6653	332	55	ta	ta	PROPN
ejpam-6653	332	56	)	)	PUNCT
ejpam-6653	332	57	qq	qq	PROPN
ejpam-6653	332	58	plot	plot	NOUN
ejpam-6653	332	59	for	for	ADP
ejpam-6653	332	60	mgamma	mgamma	PROPN
ejpam-6653	332	61	distribution	distribution	NOUN
ejpam-6653	332	62	0	0	NUM
ejpam-6653	332	63	10	10	NUM
ejpam-6653	332	64	20	20	NUM
ejpam-6653	332	65	30	30	NUM
ejpam-6653	332	66	40	40	NUM
ejpam-6653	332	67	50	50	NUM
ejpam-6653	332	68	10	10	NUM
ejpam-6653	332	69	20	20	NUM
ejpam-6653	332	70	30	30	NUM
ejpam-6653	332	71	40	40	NUM
ejpam-6653	332	72	50	50	NUM
ejpam-6653	332	73	theoretical	theoretical	ADJ
ejpam-6653	332	74	quantiles	quantile	NOUN
ejpam-6653	332	75	(	(	PUNCT
ejpam-6653	332	76	mgamma	mgamma	PROPN
ejpam-6653	332	77	)	)	PUNCT
ejpam-6653	332	78	e	e	NOUN
ejpam-6653	332	79	m	m	PROPN
ejpam-6653	332	80	p	p	NOUN
ejpam-6653	332	81	ir	ir	PROPN
ejpam-6653	332	82	ic	ic	PROPN
ejpam-6653	332	83	a	a	DET
ejpam-6653	332	84	l	l	NOUN
ejpam-6653	332	85	q	q	X
ejpam-6653	332	86	u	u	NOUN
ejpam-6653	332	87	a	a	DET
ejpam-6653	332	88	n	n	NOUN
ejpam-6653	332	89	ti	ti	X
ejpam-6653	332	90	le	le	X
ejpam-6653	332	91	s	s	X
ejpam-6653	332	92	(	(	PUNCT
ejpam-6653	332	93	d	d	X
ejpam-6653	332	94	a	a	DET
ejpam-6653	332	95	ta	ta	PROPN
ejpam-6653	332	96	)	)	PUNCT
ejpam-6653	332	97	qq	qq	PROPN
ejpam-6653	332	98	plot	plot	NOUN
ejpam-6653	332	99	for	for	ADP
ejpam-6653	332	100	mgamma	mgamma	PROPN
ejpam-6653	332	101	distribution	distribution	NOUN
ejpam-6653	332	102	0	0	NUM
ejpam-6653	332	103	10	10	NUM
ejpam-6653	332	104	20	20	NUM
ejpam-6653	332	105	30	30	NUM
ejpam-6653	332	106	40	40	NUM
ejpam-6653	332	107	0	0	NUM
ejpam-6653	332	108	10	10	NUM
ejpam-6653	332	109	20	20	NUM
ejpam-6653	332	110	30	30	NUM
ejpam-6653	332	111	theoretical	theoretical	ADJ
ejpam-6653	332	112	quantiles	quantile	NOUN
ejpam-6653	332	113	(	(	PUNCT
ejpam-6653	332	114	mgamma	mgamma	PROPN
ejpam-6653	332	115	)	)	PUNCT
ejpam-6653	332	116	e	e	NOUN
ejpam-6653	332	117	m	m	PROPN
ejpam-6653	332	118	p	p	NOUN
ejpam-6653	332	119	ir	ir	PROPN
ejpam-6653	332	120	ic	ic	PROPN
ejpam-6653	332	121	a	a	DET
ejpam-6653	332	122	l	l	NOUN
ejpam-6653	332	123	q	q	X
ejpam-6653	332	124	u	u	NOUN
ejpam-6653	332	125	a	a	DET
ejpam-6653	332	126	n	n	NOUN
ejpam-6653	332	127	ti	ti	X
ejpam-6653	332	128	le	le	X
ejpam-6653	332	129	s	s	X
ejpam-6653	332	130	(	(	PUNCT
ejpam-6653	332	131	d	d	X
ejpam-6653	332	132	a	a	DET
ejpam-6653	332	133	ta	ta	PROPN
ejpam-6653	332	134	)	)	PUNCT
ejpam-6653	332	135	qq	qq	PROPN
ejpam-6653	332	136	plot	plot	NOUN
ejpam-6653	332	137	for	for	ADP
ejpam-6653	332	138	mgamma	mgamma	NOUN
ejpam-6653	332	139	distribution	distribution	NOUN
ejpam-6653	332	140	figure	figure	NOUN
ejpam-6653	332	141	10	10	NUM
ejpam-6653	332	142	:	:	PUNCT
ejpam-6653	332	143	q	q	ADJ
ejpam-6653	332	144	-	-	PUNCT
ejpam-6653	332	145	q	q	NOUN
ejpam-6653	332	146	plot	plot	NOUN
ejpam-6653	332	147	for	for	ADP
ejpam-6653	332	148	all	all	DET
ejpam-6653	332	149	the	the	DET
ejpam-6653	332	150	four	four	NUM
ejpam-6653	332	151	datasets	dataset	NOUN
ejpam-6653	332	152	using	use	VERB
ejpam-6653	332	153	mgamma	mgamma	PROPN
ejpam-6653	332	154	distribution	distribution	NOUN
ejpam-6653	332	155	accordingly	accordingly	ADV
ejpam-6653	332	156	.	.	PUNCT
ejpam-6653	333	1	m.	m.	PROPN
ejpam-6653	333	2	i.	i.	PROPN
ejpam-6653	333	3	khan	khan	PROPN
ejpam-6653	333	4	,	,	PUNCT
ejpam-6653	333	5	m.	m.	PROPN
ejpam-6653	333	6	k.	k.	PROPN
ejpam-6653	333	7	ruidas	ruidas	PROPN
ejpam-6653	333	8	/	/	SYM
ejpam-6653	333	9	eur	eur	PROPN
ejpam-6653	333	10	.	.	PUNCT
ejpam-6653	334	1	j.	j.	PROPN
ejpam-6653	334	2	pure	pure	PROPN
ejpam-6653	334	3	appl	appl	PROPN
ejpam-6653	334	4	.	.	PROPN
ejpam-6653	334	5	math	math	PROPN
ejpam-6653	334	6	,	,	PUNCT
ejpam-6653	334	7	18	18	NUM
ejpam-6653	334	8	(	(	PUNCT
ejpam-6653	334	9	4	4	NUM
ejpam-6653	334	10	)	)	PUNCT
ejpam-6653	334	11	(	(	PUNCT
ejpam-6653	334	12	2025	2025	NUM
ejpam-6653	334	13	)	)	PUNCT
ejpam-6653	334	14	,	,	PUNCT
ejpam-6653	334	15	6653	6653	NUM
ejpam-6653	334	16	19	19	NUM
ejpam-6653	334	17	of	of	ADP
ejpam-6653	334	18	22	22	NUM
ejpam-6653	334	19	table	table	NOUN
ejpam-6653	334	20	1	1	NUM
ejpam-6653	334	21	:	:	PUNCT
ejpam-6653	334	22	model	model	NOUN
ejpam-6653	334	23	comparison	comparison	NOUN
ejpam-6653	334	24	for	for	ADP
ejpam-6653	334	25	dataset	dataset	ADJ
ejpam-6653	334	26	i	i	NOUN
ejpam-6653	334	27	:	:	PUNCT
ejpam-6653	334	28	strength	strength	NOUN
ejpam-6653	334	29	of	of	ADP
ejpam-6653	334	30	1.5	1.5	NUM
ejpam-6653	334	31	cm	cm	NOUN
ejpam-6653	334	32	glass	glass	NOUN
ejpam-6653	334	33	fibres	fibre	NOUN
ejpam-6653	334	34	criteria	criterion	NOUN
ejpam-6653	334	35	exponential	exponential	ADJ
ejpam-6653	334	36	lindley	lindley	NOUN
ejpam-6653	334	37	xgamma	xgamma	PROPN
ejpam-6653	334	38	shanker	shanker	PROPN
ejpam-6653	334	39	akash	akash	PROPN
ejpam-6653	334	40	mgamma	mgamma	PROPN
ejpam-6653	334	41	mle	mle	PROPN
ejpam-6653	334	42	0.6636	0.6636	NUM
ejpam-6653	334	43	0.9961	0.9961	NUM
ejpam-6653	334	44	1.3376	1.3376	NUM
ejpam-6653	334	45	0.9562	0.9562	NUM
ejpam-6653	334	46	1.3554	1.3554	NUM
ejpam-6653	334	47	1.8354	1.8354	NUM
ejpam-6653	334	48	aic	aic	PROPN
ejpam-6653	334	49	88.83	88.83	NUM
ejpam-6653	334	50	81.27	81.27	NUM
ejpam-6653	334	51	85.80	85.80	NUM
ejpam-6653	334	52	81.14	81.14	NUM
ejpam-6653	334	53	81.86	81.86	NUM
ejpam-6653	334	54	58.66	58.66	NUM
ejpam-6653	334	55	ks	ks	NOUN
ejpam-6653	334	56	statistic	statistic	NOUN
ejpam-6653	334	57	0.4186	0.4186	NUM
ejpam-6653	334	58	0.3862	0.3862	NUM
ejpam-6653	334	59	0.4196	0.4196	NUM
ejpam-6653	334	60	0.3661	0.3661	NUM
ejpam-6653	334	61	0.3705	0.3705	NUM
ejpam-6653	334	62	0.3361	0.3361	NUM
ejpam-6653	334	63	cramér	cramér	NOUN
ejpam-6653	334	64	–	–	PUNCT
ejpam-6653	334	65	von	von	PROPN
ejpam-6653	334	66	mises	mises	PROPN
ejpam-6653	334	67	3.862	3.862	NUM
ejpam-6653	334	68	3.332	3.332	NUM
ejpam-6653	334	69	3.881	3.881	NUM
ejpam-6653	334	70	3.113	3.113	NUM
ejpam-6653	334	71	3.192	3.192	NUM
ejpam-6653	334	72	2.496	2.496	NUM
ejpam-6653	334	73	anderson	anderson	PROPN
ejpam-6653	334	74	–	–	PUNCT
ejpam-6653	334	75	darling	darle	VERB
ejpam-6653	334	76	18.426	18.426	NUM
ejpam-6653	334	77	16.425	16.425	NUM
ejpam-6653	334	78	18.468	18.468	NUM
ejpam-6653	334	79	15.406	15.406	NUM
ejpam-6653	334	80	15.736	15.736	NUM
ejpam-6653	334	81	12.590	12.590	NUM
ejpam-6653	334	82	table	table	NOUN
ejpam-6653	334	83	2	2	NUM
ejpam-6653	334	84	:	:	PUNCT
ejpam-6653	334	85	model	model	NOUN
ejpam-6653	334	86	comparison	comparison	NOUN
ejpam-6653	334	87	for	for	ADP
ejpam-6653	334	88	dataset	dataset	ADJ
ejpam-6653	334	89	ii	ii	PROPN
ejpam-6653	334	90	:	:	PUNCT
ejpam-6653	334	91	exceedances	exceedance	NOUN
ejpam-6653	334	92	of	of	ADP
ejpam-6653	334	93	flood	flood	NOUN
ejpam-6653	334	94	peaks	peak	NOUN
ejpam-6653	334	95	(	(	PUNCT
ejpam-6653	334	96	wheaton	wheaton	PROPN
ejpam-6653	334	97	river	river	PROPN
ejpam-6653	334	98	)	)	PUNCT
ejpam-6653	334	99	criteria	criterion	NOUN
ejpam-6653	334	100	exponential	exponential	ADJ
ejpam-6653	334	101	lindley	lindley	PROPN
ejpam-6653	334	102	xgamma	xgamma	PROPN
ejpam-6653	334	103	shanker	shanker	PROPN
ejpam-6653	334	104	akash	akash	PROPN
ejpam-6653	334	105	mgamma	mgamma	PROPN
ejpam-6653	334	106	mle	mle	PROPN
ejpam-6653	334	107	0.8194	0.8194	NUM
ejpam-6653	334	108	0.1530	0.1530	NUM
ejpam-6653	334	109	0.2044	0.2044	NUM
ejpam-6653	334	110	0.1646	0.1646	NUM
ejpam-6653	334	111	0.2412	0.2412	NUM
ejpam-6653	334	112	0.2422	0.2422	NUM
ejpam-6653	334	113	aic	aic	PROPN
ejpam-6653	334	114	252.120	252.120	NUM
ejpam-6653	334	115	264.228	264.228	NUM
ejpam-6653	334	116	266.470	266.470	NUM
ejpam-6653	334	117	279.790	279.790	NUM
ejpam-6653	334	118	291.070	291.070	NUM
ejpam-6653	334	119	251.648	251.648	NUM
ejpam-6653	334	120	ks	ks	NOUN
ejpam-6653	334	121	statistic	statistic	VERB
ejpam-6653	334	122	0.1421	0.1421	NUM
ejpam-6653	334	123	0.2408	0.2408	NUM
ejpam-6653	334	124	0.2562	0.2562	NUM
ejpam-6653	334	125	0.2272	0.2272	NUM
ejpam-6653	334	126	0.3030	0.3030	NUM
ejpam-6653	334	127	0.1325	0.1325	NUM
ejpam-6653	334	128	cramér	cramér	NOUN
ejpam-6653	334	129	–	–	PUNCT
ejpam-6653	334	130	von	von	PROPN
ejpam-6653	334	131	mises	mises	PROPN
ejpam-6653	334	132	0.2319	0.2319	NUM
ejpam-6653	334	133	0.8198	0.8198	NUM
ejpam-6653	334	134	1.0660	1.0660	NUM
ejpam-6653	334	135	0.7775	0.7775	NUM
ejpam-6653	334	136	1.5190	1.5190	NUM
ejpam-6653	334	137	0.1489	0.1489	NUM
ejpam-6653	334	138	anderson	anderson	PROPN
ejpam-6653	334	139	–	–	PUNCT
ejpam-6653	334	140	darling	darle	VERB
ejpam-6653	334	141	1.4680	1.4680	NUM
ejpam-6653	334	142	7.4400	7.4400	NUM
ejpam-6653	334	143	8.8136	8.8136	NUM
ejpam-6653	334	144	6.9887	6.9887	NUM
ejpam-6653	334	145	19.100	19.100	NUM
ejpam-6653	334	146	1.4231	1.4231	NUM
ejpam-6653	334	147	table	table	NOUN
ejpam-6653	334	148	3	3	NUM
ejpam-6653	334	149	:	:	PUNCT
ejpam-6653	334	150	model	model	NOUN
ejpam-6653	334	151	comparison	comparison	NOUN
ejpam-6653	334	152	for	for	ADP
ejpam-6653	334	153	dataset	dataset	ADJ
ejpam-6653	334	154	iii	iii	PROPN
ejpam-6653	334	155	:	:	PUNCT
ejpam-6653	334	156	remission	remission	NOUN
ejpam-6653	334	157	times	time	NOUN
ejpam-6653	334	158	of	of	ADP
ejpam-6653	334	159	20	20	NUM
ejpam-6653	334	160	leukaemia	leukaemia	NOUN
ejpam-6653	334	161	patients	patient	NOUN
ejpam-6653	334	162	criteria	criteria	VERB
ejpam-6653	334	163	exponential	exponential	ADJ
ejpam-6653	334	164	lindley	lindley	NOUN
ejpam-6653	334	165	xgamma	xgamma	PROPN
ejpam-6653	334	166	shanker	shanker	PROPN
ejpam-6653	334	167	akash	akash	PROPN
ejpam-6653	334	168	mgamma	mgamma	PROPN
ejpam-6653	334	169	mle	mle	PROPN
ejpam-6653	334	170	0.0511	0.0511	NUM
ejpam-6653	334	171	0.0977	0.0977	NUM
ejpam-6653	334	172	0.1383	0.1383	NUM
ejpam-6653	334	173	0.1019	0.1019	NUM
ejpam-6653	334	174	0.1522	0.1522	NUM
ejpam-6653	334	175	0.1521	0.1521	NUM
ejpam-6653	334	176	aic	aic	PROPN
ejpam-6653	334	177	79.459	79.459	NUM
ejpam-6653	334	178	78.872	78.872	NUM
ejpam-6653	334	179	79.398	79.398	NUM
ejpam-6653	334	180	79.244	79.244	NUM
ejpam-6653	334	181	81.790	81.790	NUM
ejpam-6653	334	182	78.746	78.746	NUM
ejpam-6653	334	183	ks	ks	NOUN
ejpam-6653	334	184	statistic	statistic	NOUN
ejpam-6653	334	185	0.1143	0.1143	VERB
ejpam-6653	334	186	0.1189	0.1189	NUM
ejpam-6653	334	187	0.1589	0.1589	NUM
ejpam-6653	334	188	0.1095	0.1095	NUM
ejpam-6653	334	189	0.2007	0.2007	NUM
ejpam-6653	334	190	0.0104	0.0104	NUM
ejpam-6653	334	191	cramér	cramér	NOUN
ejpam-6653	334	192	–	–	PUNCT
ejpam-6653	334	193	von	von	PROPN
ejpam-6653	334	194	mises	mises	PROPN
ejpam-6653	334	195	0.0660	0.0660	NUM
ejpam-6653	334	196	0.0344	0.0344	NUM
ejpam-6653	334	197	0.0725	0.0725	NUM
ejpam-6653	334	198	0.0424	0.0424	NUM
ejpam-6653	334	199	0.1366	0.1366	NUM
ejpam-6653	334	200	0.0181	0.0181	NUM
ejpam-6653	334	201	anderson	anderson	PROPN
ejpam-6653	334	202	–	–	PUNCT
ejpam-6653	334	203	darling	darle	VERB
ejpam-6653	334	204	0.410	0.410	NUM
ejpam-6653	334	205	0.2960	0.2960	NUM
ejpam-6653	334	206	0.5644	0.5644	NUM
ejpam-6653	334	207	0.3351	0.3351	NUM
ejpam-6653	334	208	1.4800	1.4800	NUM
ejpam-6653	334	209	0.2704	0.2704	NUM
ejpam-6653	334	210	table	table	NOUN
ejpam-6653	334	211	4	4	NUM
ejpam-6653	334	212	:	:	PUNCT
ejpam-6653	334	213	model	model	NOUN
ejpam-6653	334	214	comparison	comparison	NOUN
ejpam-6653	334	215	for	for	ADP
ejpam-6653	334	216	dataset	dataset	ADJ
ejpam-6653	334	217	iv	iv	NOUN
ejpam-6653	334	218	:	:	PUNCT
ejpam-6653	334	219	waiting	wait	VERB
ejpam-6653	334	220	times	time	NOUN
ejpam-6653	334	221	of	of	ADP
ejpam-6653	334	222	100	100	NUM
ejpam-6653	334	223	bank	bank	NOUN
ejpam-6653	334	224	customers	customer	NOUN
ejpam-6653	334	225	criteria	criteria	VERB
ejpam-6653	334	226	exponential	exponential	ADJ
ejpam-6653	334	227	lindley	lindley	NOUN
ejpam-6653	334	228	xgamma	xgamma	PROPN
ejpam-6653	334	229	shanker	shanker	PROPN
ejpam-6653	334	230	akash	akash	PROPN
ejpam-6653	334	231	mgamma	mgamma	PROPN
ejpam-6653	334	232	mle	mle	PROPN
ejpam-6653	334	233	0.1012	0.1012	NUM
ejpam-6653	334	234	0.1865	0.1865	NUM
ejpam-6653	334	235	0.2634	0.2634	NUM
ejpam-6653	334	236	0.1983	0.1983	NUM
ejpam-6653	334	237	0.2952	0.2952	NUM
ejpam-6653	334	238	0.2989	0.2989	NUM
ejpam-6653	334	239	aic	aic	PROPN
ejpam-6653	334	240	329.020	329.020	NUM
ejpam-6653	334	241	319.037	319.037	NUM
ejpam-6653	334	242	321.020	321.020	NUM
ejpam-6653	334	243	317.629	317.629	NUM
ejpam-6653	334	244	320.629	320.629	NUM
ejpam-6653	334	245	317.062	317.062	NUM
ejpam-6653	334	246	ks	ks	NOUN
ejpam-6653	334	247	statistic	statistic	VERB
ejpam-6653	334	248	0.1730	0.1730	NUM
ejpam-6653	334	249	0.0676	0.0676	NUM
ejpam-6653	334	250	0.0624	0.0624	NUM
ejpam-6653	334	251	0.0881	0.0881	NUM
ejpam-6653	334	252	0.1002	0.1002	NUM
ejpam-6653	334	253	0.0601	0.0601	NUM
ejpam-6653	334	254	cramér	cramér	NOUN
ejpam-6653	334	255	–	–	PUNCT
ejpam-6653	334	256	von	von	PROPN
ejpam-6653	334	257	mises	mises	PROPN
ejpam-6653	334	258	0.7153	0.7153	PRON
ejpam-6653	334	259	0.0581	0.0581	NUM
ejpam-6653	335	1	0.0839	0.0839	NUM
ejpam-6653	335	2	0.1280	0.1280	NUM
ejpam-6653	335	3	0.2170	0.2170	NUM
ejpam-6653	335	4	0.0535	0.0535	NUM
ejpam-6653	335	5	anderson	anderson	PROPN
ejpam-6653	335	6	–	–	PUNCT
ejpam-6653	335	7	darling	darle	VERB
ejpam-6653	335	8	4.2280	4.2280	NUM
ejpam-6653	335	9	0.4863	0.4863	NUM
ejpam-6653	335	10	0.6447	0.6447	NUM
ejpam-6653	335	11	0.9044	0.9044	NUM
ejpam-6653	335	12	1.3797	1.3797	NUM
ejpam-6653	335	13	0.0326	0.0326	NUM
ejpam-6653	335	14	m.	m.	NOUN
ejpam-6653	335	15	i.	i.	PROPN
ejpam-6653	335	16	khan	khan	PROPN
ejpam-6653	335	17	,	,	PUNCT
ejpam-6653	335	18	m.	m.	PROPN
ejpam-6653	335	19	k.	k.	PROPN
ejpam-6653	335	20	ruidas	ruidas	PROPN
ejpam-6653	335	21	/	/	SYM
ejpam-6653	335	22	eur	eur	PROPN
ejpam-6653	335	23	.	.	PUNCT
ejpam-6653	336	1	j.	j.	PROPN
ejpam-6653	336	2	pure	pure	PROPN
ejpam-6653	336	3	appl	appl	PROPN
ejpam-6653	336	4	.	.	PROPN
ejpam-6653	336	5	math	math	PROPN
ejpam-6653	336	6	,	,	PUNCT
ejpam-6653	336	7	18	18	NUM
ejpam-6653	336	8	(	(	PUNCT
ejpam-6653	336	9	4	4	NUM
ejpam-6653	336	10	)	)	PUNCT
ejpam-6653	336	11	(	(	PUNCT
ejpam-6653	336	12	2025	2025	NUM
ejpam-6653	336	13	)	)	PUNCT
ejpam-6653	336	14	,	,	PUNCT
ejpam-6653	336	15	6653	6653	NUM
ejpam-6653	336	16	20	20	NUM
ejpam-6653	336	17	of	of	ADP
ejpam-6653	336	18	22	22	NUM
ejpam-6653	336	19	from	from	ADP
ejpam-6653	336	20	the	the	DET
ejpam-6653	336	21	table	table	NOUN
ejpam-6653	336	22	1	1	NUM
ejpam-6653	336	23	4	4	NUM
ejpam-6653	336	24	,	,	PUNCT
ejpam-6653	336	25	we	we	PRON
ejpam-6653	336	26	find	find	VERB
ejpam-6653	336	27	that	that	SCONJ
ejpam-6653	336	28	mgamma	mgamma	PROPN
ejpam-6653	336	29	provides	provide	VERB
ejpam-6653	336	30	the	the	DET
ejpam-6653	336	31	best	good	ADJ
ejpam-6653	336	32	fit	fit	NOUN
ejpam-6653	336	33	,	,	PUNCT
ejpam-6653	336	34	capturing	capture	VERB
ejpam-6653	336	35	the	the	DET
ejpam-6653	336	36	skewness	skewness	NOUN
ejpam-6653	336	37	and	and	CCONJ
ejpam-6653	336	38	heavy	heavy	ADJ
ejpam-6653	336	39	tails	tail	NOUN
ejpam-6653	336	40	of	of	ADP
ejpam-6653	336	41	the	the	DET
ejpam-6653	336	42	data	datum	NOUN
ejpam-6653	336	43	.	.	PUNCT
ejpam-6653	337	1	across	across	ADP
ejpam-6653	337	2	all	all	DET
ejpam-6653	337	3	four	four	NUM
ejpam-6653	337	4	datasets	dataset	NOUN
ejpam-6653	337	5	i.e.	i.e.	X
ejpam-6653	337	6	spanning	span	VERB
ejpam-6653	337	7	engineering	engineering	NOUN
ejpam-6653	337	8	,	,	PUNCT
ejpam-6653	337	9	hydrology	hydrology	NOUN
ejpam-6653	337	10	,	,	PUNCT
ejpam-6653	337	11	medical	medical	ADJ
ejpam-6653	337	12	survival	survival	NOUN
ejpam-6653	337	13	,	,	PUNCT
ejpam-6653	337	14	and	and	CCONJ
ejpam-6653	337	15	queueing	queue	VERB
ejpam-6653	337	16	contexts	context	NOUN
ejpam-6653	337	17	the	the	DET
ejpam-6653	337	18	mgamma	mgamma	PROPN
ejpam-6653	337	19	distribution	distribution	NOUN
ejpam-6653	337	20	consistently	consistently	ADV
ejpam-6653	337	21	outperformed	outperform	VERB
ejpam-6653	337	22	the	the	DET
ejpam-6653	337	23	classical	classical	ADJ
ejpam-6653	337	24	one	one	NUM
ejpam-6653	337	25	-	-	PUNCT
ejpam-6653	337	26	parameter	parameter	NOUN
ejpam-6653	337	27	models	model	NOUN
ejpam-6653	337	28	.	.	PUNCT
ejpam-6653	338	1	the	the	DET
ejpam-6653	338	2	mixture	mixture	NOUN
ejpam-6653	338	3	structure	structure	NOUN
ejpam-6653	338	4	of	of	ADP
ejpam-6653	338	5	mgamma	mgamma	PROPN
ejpam-6653	338	6	allows	allow	VERB
ejpam-6653	338	7	it	it	PRON
ejpam-6653	338	8	to	to	PART
ejpam-6653	338	9	model	model	VERB
ejpam-6653	338	10	skewness	skewness	NOUN
ejpam-6653	338	11	and	and	CCONJ
ejpam-6653	338	12	heavy	heavy	ADJ
ejpam-6653	338	13	-	-	PUNCT
ejpam-6653	338	14	tailed	tail	VERB
ejpam-6653	338	15	behaviour	behaviour	NOUN
ejpam-6653	338	16	more	more	ADV
ejpam-6653	338	17	effectively	effectively	ADV
ejpam-6653	338	18	.	.	PUNCT
ejpam-6653	339	1	also	also	ADV
ejpam-6653	339	2	the	the	DET
ejpam-6653	339	3	model	model	NOUN
ejpam-6653	339	4	accommodates	accommodate	VERB
ejpam-6653	339	5	non	non	ADJ
ejpam-6653	339	6	-	-	ADJ
ejpam-6653	339	7	monotone	monotone	ADJ
ejpam-6653	339	8	hazard	hazard	NOUN
ejpam-6653	339	9	rates	rate	NOUN
ejpam-6653	339	10	(	(	PUNCT
ejpam-6653	339	11	e.g.	e.g.	ADV
ejpam-6653	339	12	,	,	PUNCT
ejpam-6653	339	13	bathtub	bathtub	NOUN
ejpam-6653	339	14	-	-	PUNCT
ejpam-6653	339	15	shaped	shape	VERB
ejpam-6653	339	16	or	or	CCONJ
ejpam-6653	339	17	increasing	increase	VERB
ejpam-6653	339	18	-	-	PUNCT
ejpam-6653	339	19	decreasing	decrease	VERB
ejpam-6653	339	20	)	)	PUNCT
ejpam-6653	339	21	,	,	PUNCT
ejpam-6653	339	22	which	which	PRON
ejpam-6653	339	23	are	be	AUX
ejpam-6653	339	24	common	common	ADJ
ejpam-6653	339	25	in	in	ADP
ejpam-6653	339	26	practice	practice	NOUN
ejpam-6653	339	27	but	but	CCONJ
ejpam-6653	339	28	not	not	PART
ejpam-6653	339	29	captured	capture	VERB
ejpam-6653	339	30	by	by	ADP
ejpam-6653	339	31	simpler	simple	ADJ
ejpam-6653	339	32	distributions	distribution	NOUN
ejpam-6653	339	33	.	.	PUNCT
ejpam-6653	340	1	even	even	ADV
ejpam-6653	340	2	with	with	ADP
ejpam-6653	340	3	small	small	ADJ
ejpam-6653	340	4	samples	sample	NOUN
ejpam-6653	340	5	(	(	PUNCT
ejpam-6653	340	6	as	as	ADP
ejpam-6653	340	7	in	in	ADP
ejpam-6653	340	8	the	the	DET
ejpam-6653	340	9	remission	remission	NOUN
ejpam-6653	340	10	time	time	NOUN
ejpam-6653	340	11	data	data	PROPN
ejpam-6653	340	12	)	)	PUNCT
ejpam-6653	340	13	,	,	PUNCT
ejpam-6653	340	14	mgamma	mgamma	PROPN
ejpam-6653	340	15	provides	provide	VERB
ejpam-6653	340	16	superior	superior	ADJ
ejpam-6653	340	17	fit	fit	NOUN
ejpam-6653	340	18	.	.	PUNCT
ejpam-6653	341	1	in	in	ADP
ejpam-6653	341	2	every	every	DET
ejpam-6653	341	3	dataset	dataset	NOUN
ejpam-6653	341	4	,	,	PUNCT
ejpam-6653	341	5	mgamma	mgamma	PROPN
ejpam-6653	341	6	yielded	yield	VERB
ejpam-6653	341	7	the	the	DET
ejpam-6653	341	8	lowest	low	ADJ
ejpam-6653	341	9	aic	aic	PROPN
ejpam-6653	341	10	and	and	CCONJ
ejpam-6653	341	11	other	other	ADJ
ejpam-6653	341	12	criteria	criterion	NOUN
ejpam-6653	341	13	,	,	PUNCT
ejpam-6653	341	14	reinforcing	reinforce	VERB
ejpam-6653	341	15	its	its	PRON
ejpam-6653	341	16	statistical	statistical	ADJ
ejpam-6653	341	17	adequacy	adequacy	NOUN
ejpam-6653	341	18	.	.	PUNCT
ejpam-6653	342	1	thus	thus	ADV
ejpam-6653	342	2	,	,	PUNCT
ejpam-6653	342	3	the	the	DET
ejpam-6653	342	4	mgamma	mgamma	PROPN
ejpam-6653	342	5	distribution	distribution	NOUN
ejpam-6653	342	6	can	can	AUX
ejpam-6653	342	7	be	be	AUX
ejpam-6653	342	8	considered	consider	VERB
ejpam-6653	342	9	a	a	DET
ejpam-6653	342	10	highly	highly	ADV
ejpam-6653	342	11	competitive	competitive	ADJ
ejpam-6653	342	12	and	and	CCONJ
ejpam-6653	342	13	flexible	flexible	ADJ
ejpam-6653	342	14	alternative	alternative	NOUN
ejpam-6653	342	15	for	for	ADP
ejpam-6653	342	16	real	real	ADJ
ejpam-6653	342	17	-	-	PUNCT
ejpam-6653	342	18	life	life	NOUN
ejpam-6653	342	19	data	datum	NOUN
ejpam-6653	342	20	modelling	modelling	NOUN
ejpam-6653	342	21	,	,	PUNCT
ejpam-6653	342	22	outperforming	outperform	VERB
ejpam-6653	342	23	several	several	ADJ
ejpam-6653	342	24	classical	classical	ADJ
ejpam-6653	342	25	and	and	CCONJ
ejpam-6653	342	26	recently	recently	ADV
ejpam-6653	342	27	proposed	propose	VERB
ejpam-6653	342	28	lifetime	lifetime	NOUN
ejpam-6653	342	29	distributions	distribution	NOUN
ejpam-6653	342	30	.	.	PUNCT
ejpam-6653	343	1	it	it	PRON
ejpam-6653	343	2	is	be	AUX
ejpam-6653	343	3	well	well	ADV
ejpam-6653	343	4	known	know	VERB
ejpam-6653	343	5	that	that	SCONJ
ejpam-6653	343	6	distributions	distribution	NOUN
ejpam-6653	343	7	with	with	ADP
ejpam-6653	343	8	more	more	ADJ
ejpam-6653	343	9	parameters	parameter	NOUN
ejpam-6653	343	10	usually	usually	ADV
ejpam-6653	343	11	provide	provide	VERB
ejpam-6653	343	12	greater	great	ADJ
ejpam-6653	343	13	flexibility	flexibility	NOUN
ejpam-6653	343	14	for	for	ADP
ejpam-6653	343	15	data	datum	NOUN
ejpam-6653	343	16	modeling	modeling	NOUN
ejpam-6653	343	17	.	.	PUNCT
ejpam-6653	344	1	however	however	ADV
ejpam-6653	344	2	,	,	PUNCT
ejpam-6653	344	3	the	the	DET
ejpam-6653	344	4	presence	presence	NOUN
ejpam-6653	344	5	of	of	ADP
ejpam-6653	344	6	multiple	multiple	ADJ
ejpam-6653	344	7	parameters	parameter	NOUN
ejpam-6653	344	8	often	often	ADV
ejpam-6653	344	9	makes	make	VERB
ejpam-6653	344	10	estimation	estimation	NOUN
ejpam-6653	344	11	more	more	ADV
ejpam-6653	344	12	complex	complex	ADJ
ejpam-6653	344	13	and	and	CCONJ
ejpam-6653	344	14	computationally	computationally	ADV
ejpam-6653	344	15	demanding	demanding	ADJ
ejpam-6653	344	16	.	.	PUNCT
ejpam-6653	345	1	in	in	ADP
ejpam-6653	345	2	contrast	contrast	NOUN
ejpam-6653	345	3	,	,	PUNCT
ejpam-6653	345	4	the	the	DET
ejpam-6653	345	5	proposed	propose	VERB
ejpam-6653	345	6	mgamma	mgamma	PROPN
ejpam-6653	345	7	distribution	distribution	NOUN
ejpam-6653	345	8	has	have	VERB
ejpam-6653	345	9	the	the	DET
ejpam-6653	345	10	advantage	advantage	NOUN
ejpam-6653	345	11	of	of	ADP
ejpam-6653	345	12	involving	involve	VERB
ejpam-6653	345	13	only	only	ADV
ejpam-6653	345	14	a	a	DET
ejpam-6653	345	15	single	single	ADJ
ejpam-6653	345	16	parameter	parameter	NOUN
ejpam-6653	345	17	,	,	PUNCT
ejpam-6653	345	18	which	which	PRON
ejpam-6653	345	19	is	be	AUX
ejpam-6653	345	20	straightforward	straightforward	ADJ
ejpam-6653	345	21	to	to	PART
ejpam-6653	345	22	estimate	estimate	VERB
ejpam-6653	345	23	,	,	PUNCT
ejpam-6653	345	24	while	while	SCONJ
ejpam-6653	345	25	still	still	ADV
ejpam-6653	345	26	offering	offer	VERB
ejpam-6653	345	27	substantial	substantial	ADJ
ejpam-6653	345	28	flexibility	flexibility	NOUN
ejpam-6653	345	29	.	.	PUNCT
ejpam-6653	346	1	notably	notably	ADV
ejpam-6653	346	2	,	,	PUNCT
ejpam-6653	346	3	it	it	PRON
ejpam-6653	346	4	provides	provide	VERB
ejpam-6653	346	5	a	a	DET
ejpam-6653	346	6	superior	superior	ADJ
ejpam-6653	346	7	fit	fit	NOUN
ejpam-6653	346	8	compared	compare	VERB
ejpam-6653	346	9	to	to	ADP
ejpam-6653	346	10	several	several	ADJ
ejpam-6653	346	11	existing	exist	VERB
ejpam-6653	346	12	multi	multi	ADJ
ejpam-6653	346	13	-	-	ADJ
ejpam-6653	346	14	parameter	parameter	ADJ
ejpam-6653	346	15	models	model	NOUN
ejpam-6653	346	16	.	.	PUNCT
ejpam-6653	347	1	12	12	NUM
ejpam-6653	347	2	.	.	PUNCT
ejpam-6653	348	1	conclusion	conclusion	NOUN
ejpam-6653	348	2	in	in	ADP
ejpam-6653	348	3	this	this	DET
ejpam-6653	348	4	article	article	NOUN
ejpam-6653	348	5	,	,	PUNCT
ejpam-6653	348	6	we	we	PRON
ejpam-6653	348	7	introduced	introduce	VERB
ejpam-6653	348	8	a	a	DET
ejpam-6653	348	9	new	new	ADJ
ejpam-6653	348	10	one	one	NUM
ejpam-6653	348	11	-	-	PUNCT
ejpam-6653	348	12	parameter	parameter	NOUN
ejpam-6653	348	13	continuous	continuous	ADJ
ejpam-6653	348	14	distribution	distribution	NOUN
ejpam-6653	348	15	,	,	PUNCT
ejpam-6653	348	16	the	the	DET
ejpam-6653	348	17	so	so	ADV
ejpam-6653	348	18	called	call	VERB
ejpam-6653	348	19	mgamma	mgamma	PROPN
ejpam-6653	348	20	distribution	distribution	NOUN
ejpam-6653	348	21	,	,	PUNCT
ejpam-6653	348	22	by	by	ADP
ejpam-6653	348	23	a	a	DET
ejpam-6653	348	24	finite	finite	ADJ
ejpam-6653	348	25	mixture	mixture	NOUN
ejpam-6653	348	26	approach	approach	NOUN
ejpam-6653	348	27	of	of	ADP
ejpam-6653	348	28	two	two	NUM
ejpam-6653	348	29	gamma	gamma	NOUN
ejpam-6653	348	30	distributions	distribution	NOUN
ejpam-6653	348	31	with	with	ADP
ejpam-6653	348	32	different	different	ADJ
ejpam-6653	348	33	shape	shape	NOUN
ejpam-6653	348	34	parameters	parameter	NOUN
ejpam-6653	348	35	.	.	PUNCT
ejpam-6653	349	1	we	we	PRON
ejpam-6653	349	2	studied	study	VERB
ejpam-6653	349	3	several	several	ADJ
ejpam-6653	349	4	of	of	ADP
ejpam-6653	349	5	its	its	PRON
ejpam-6653	349	6	statistical	statistical	ADJ
ejpam-6653	349	7	properties	property	NOUN
ejpam-6653	349	8	including	include	VERB
ejpam-6653	349	9	moments	moment	NOUN
ejpam-6653	349	10	,	,	PUNCT
ejpam-6653	349	11	moment	moment	NOUN
ejpam-6653	349	12	and	and	CCONJ
ejpam-6653	349	13	cumulant	cumulant	ADJ
ejpam-6653	349	14	generating	generating	NOUN
ejpam-6653	349	15	function	function	NOUN
ejpam-6653	349	16	,	,	PUNCT
ejpam-6653	349	17	order	order	NOUN
ejpam-6653	349	18	statistics	statistic	NOUN
ejpam-6653	349	19	,	,	PUNCT
ejpam-6653	349	20	mean	mean	VERB
ejpam-6653	349	21	deviation	deviation	NOUN
ejpam-6653	349	22	,	,	PUNCT
ejpam-6653	349	23	incomplete	incomplete	ADJ
ejpam-6653	349	24	moments	moment	NOUN
ejpam-6653	349	25	and	and	CCONJ
ejpam-6653	349	26	inequality	inequality	NOUN
ejpam-6653	349	27	curves	curve	NOUN
ejpam-6653	349	28	.	.	PUNCT
ejpam-6653	350	1	we	we	PRON
ejpam-6653	350	2	generated	generate	VERB
ejpam-6653	350	3	random	random	ADJ
ejpam-6653	350	4	variables	variable	NOUN
ejpam-6653	350	5	and	and	CCONJ
ejpam-6653	350	6	studied	study	VERB
ejpam-6653	350	7	their	their	PRON
ejpam-6653	350	8	mean	mean	ADJ
ejpam-6653	350	9	square	square	ADJ
ejpam-6653	350	10	error	error	NOUN
ejpam-6653	350	11	and	and	CCONJ
ejpam-6653	350	12	bias	bias	NOUN
ejpam-6653	350	13	and	and	CCONJ
ejpam-6653	350	14	found	find	VERB
ejpam-6653	350	15	that	that	SCONJ
ejpam-6653	350	16	both	both	DET
ejpam-6653	350	17	decrease	decrease	NOUN
ejpam-6653	350	18	as	as	ADP
ejpam-6653	350	19	the	the	DET
ejpam-6653	350	20	sample	sample	NOUN
ejpam-6653	350	21	size	size	NOUN
ejpam-6653	350	22	increases	increase	VERB
ejpam-6653	350	23	.	.	PUNCT
ejpam-6653	351	1	the	the	DET
ejpam-6653	351	2	estimation	estimation	NOUN
ejpam-6653	351	3	of	of	ADP
ejpam-6653	351	4	model	model	NOUN
ejpam-6653	351	5	parameters	parameter	NOUN
ejpam-6653	351	6	is	be	AUX
ejpam-6653	351	7	approached	approach	VERB
ejpam-6653	351	8	by	by	ADP
ejpam-6653	351	9	the	the	DET
ejpam-6653	351	10	method	method	NOUN
ejpam-6653	351	11	of	of	ADP
ejpam-6653	351	12	maximum	maximum	ADJ
ejpam-6653	351	13	likelihood	likelihood	NOUN
ejpam-6653	351	14	and	and	CCONJ
ejpam-6653	351	15	method	method	NOUN
ejpam-6653	351	16	of	of	ADP
ejpam-6653	351	17	moments	moment	NOUN
ejpam-6653	351	18	estimation	estimation	NOUN
ejpam-6653	351	19	.	.	PUNCT
ejpam-6653	352	1	two	two	NUM
ejpam-6653	352	2	real	real	ADJ
ejpam-6653	352	3	-	-	PUNCT
ejpam-6653	352	4	life	life	NOUN
ejpam-6653	352	5	data	datum	NOUN
ejpam-6653	352	6	sets	set	NOUN
ejpam-6653	352	7	are	be	AUX
ejpam-6653	352	8	analyzed	analyze	VERB
ejpam-6653	352	9	using	use	VERB
ejpam-6653	352	10	various	various	ADJ
ejpam-6653	352	11	model	model	NOUN
ejpam-6653	352	12	selection	selection	NOUN
ejpam-6653	352	13	criteria	criterion	NOUN
ejpam-6653	352	14	.	.	PUNCT
ejpam-6653	353	1	it	it	PRON
ejpam-6653	353	2	is	be	AUX
ejpam-6653	353	3	found	find	VERB
ejpam-6653	353	4	that	that	SCONJ
ejpam-6653	353	5	the	the	DET
ejpam-6653	353	6	new	new	ADJ
ejpam-6653	353	7	distribution	distribution	NOUN
ejpam-6653	353	8	provides	provide	VERB
ejpam-6653	353	9	a	a	DET
ejpam-6653	353	10	consistently	consistently	ADV
ejpam-6653	353	11	better	well	ADJ
ejpam-6653	353	12	fit	fit	ADJ
ejpam-6653	353	13	than	than	ADP
ejpam-6653	353	14	the	the	DET
ejpam-6653	353	15	other	other	ADJ
ejpam-6653	353	16	probability	probability	NOUN
ejpam-6653	353	17	models	model	NOUN
ejpam-6653	353	18	available	available	ADJ
ejpam-6653	353	19	in	in	ADP
ejpam-6653	353	20	the	the	DET
ejpam-6653	353	21	literature	literature	NOUN
ejpam-6653	353	22	.	.	PUNCT
ejpam-6653	354	1	for	for	ADP
ejpam-6653	354	2	future	future	ADJ
ejpam-6653	354	3	studies	study	NOUN
ejpam-6653	354	4	,	,	PUNCT
ejpam-6653	354	5	this	this	DET
ejpam-6653	354	6	new	new	ADJ
ejpam-6653	354	7	distribution	distribution	NOUN
ejpam-6653	354	8	can	can	AUX
ejpam-6653	354	9	be	be	AUX
ejpam-6653	354	10	modified	modify	VERB
ejpam-6653	354	11	using	use	VERB
ejpam-6653	354	12	a	a	DET
ejpam-6653	354	13	different	different	ADJ
ejpam-6653	354	14	technique	technique	NOUN
ejpam-6653	354	15	to	to	PART
ejpam-6653	354	16	make	make	VERB
ejpam-6653	354	17	it	it	PRON
ejpam-6653	354	18	more	more	ADV
ejpam-6653	354	19	flexible	flexible	ADJ
ejpam-6653	354	20	in	in	ADP
ejpam-6653	354	21	data	datum	NOUN
ejpam-6653	354	22	modelling	modelling	NOUN
ejpam-6653	354	23	,	,	PUNCT
ejpam-6653	354	24	such	such	ADJ
ejpam-6653	354	25	as	as	ADP
ejpam-6653	354	26	developing	develop	VERB
ejpam-6653	354	27	its	its	PRON
ejpam-6653	354	28	pseudo	pseudo	NOUN
ejpam-6653	354	29	form	form	NOUN
ejpam-6653	354	30	,	,	PUNCT
ejpam-6653	354	31	considering	consider	VERB
ejpam-6653	354	32	the	the	DET
ejpam-6653	354	33	ratio	ratio	NOUN
ejpam-6653	354	34	of	of	ADP
ejpam-6653	354	35	two	two	NUM
ejpam-6653	354	36	random	random	ADJ
ejpam-6653	354	37	variables	variable	NOUN
ejpam-6653	354	38	,	,	PUNCT
ejpam-6653	354	39	introducing	introduce	VERB
ejpam-6653	354	40	transmuted	transmute	VERB
ejpam-6653	354	41	versions	version	NOUN
ejpam-6653	354	42	with	with	ADP
ejpam-6653	354	43	an	an	DET
ejpam-6653	354	44	additional	additional	ADJ
ejpam-6653	354	45	parameter	parameter	NOUN
ejpam-6653	354	46	,	,	PUNCT
ejpam-6653	354	47	or	or	CCONJ
ejpam-6653	354	48	exploring	explore	VERB
ejpam-6653	354	49	bayesian	bayesian	NOUN
ejpam-6653	354	50	estimation	estimation	NOUN
ejpam-6653	354	51	approaches	approach	NOUN
ejpam-6653	354	52	.	.	PUNCT
ejpam-6653	355	1	data	datum	NOUN
ejpam-6653	355	2	availability	availability	NOUN
ejpam-6653	355	3	the	the	DET
ejpam-6653	355	4	data	datum	NOUN
ejpam-6653	355	5	that	that	PRON
ejpam-6653	355	6	support	support	VERB
ejpam-6653	355	7	the	the	DET
ejpam-6653	355	8	findings	finding	NOUN
ejpam-6653	355	9	of	of	ADP
ejpam-6653	355	10	this	this	DET
ejpam-6653	355	11	study	study	NOUN
ejpam-6653	355	12	are	be	AUX
ejpam-6653	355	13	available	available	ADJ
ejpam-6653	355	14	from	from	ADP
ejpam-6653	355	15	the	the	DET
ejpam-6653	355	16	corresponding	corresponding	ADJ
ejpam-6653	355	17	author	author	NOUN
ejpam-6653	355	18	upon	upon	SCONJ
ejpam-6653	355	19	reasonable	reasonable	ADJ
ejpam-6653	355	20	request	request	NOUN
ejpam-6653	355	21	.	.	PUNCT
ejpam-6653	356	1	conflict	conflict	NOUN
ejpam-6653	356	2	of	of	ADP
ejpam-6653	356	3	interest	interest	NOUN
ejpam-6653	356	4	there	there	PRON
ejpam-6653	356	5	is	be	VERB
ejpam-6653	356	6	no	no	DET
ejpam-6653	356	7	conflict	conflict	NOUN
ejpam-6653	356	8	of	of	ADP
ejpam-6653	356	9	interest	interest	NOUN
ejpam-6653	356	10	.	.	PUNCT
ejpam-6653	357	1	m.	m.	NOUN
ejpam-6653	357	2	i.	i.	PROPN
ejpam-6653	357	3	khan	khan	PROPN
ejpam-6653	357	4	,	,	PUNCT
ejpam-6653	357	5	m.	m.	PROPN
ejpam-6653	357	6	k.	k.	PROPN
ejpam-6653	357	7	ruidas	ruidas	PROPN
ejpam-6653	357	8	/	/	SYM
ejpam-6653	357	9	eur	eur	PROPN
ejpam-6653	357	10	.	.	PUNCT
ejpam-6653	358	1	j.	j.	PROPN
ejpam-6653	358	2	pure	pure	PROPN
ejpam-6653	358	3	appl	appl	PROPN
ejpam-6653	358	4	.	.	PROPN
ejpam-6653	358	5	math	math	PROPN
ejpam-6653	358	6	,	,	PUNCT
ejpam-6653	358	7	18	18	NUM
ejpam-6653	358	8	(	(	PUNCT
ejpam-6653	358	9	4	4	NUM
ejpam-6653	358	10	)	)	PUNCT
ejpam-6653	358	11	(	(	PUNCT
ejpam-6653	358	12	2025	2025	NUM
ejpam-6653	358	13	)	)	PUNCT
ejpam-6653	358	14	,	,	PUNCT
ejpam-6653	358	15	6653	6653	NUM
ejpam-6653	358	16	21	21	NUM
ejpam-6653	358	17	of	of	ADP
ejpam-6653	358	18	22	22	NUM
ejpam-6653	358	19	acknowledgements	acknowledgement	NOUN
ejpam-6653	358	20	the	the	DET
ejpam-6653	358	21	authors	author	NOUN
ejpam-6653	358	22	are	be	AUX
ejpam-6653	358	23	grateful	grateful	ADJ
ejpam-6653	358	24	to	to	ADP
ejpam-6653	358	25	the	the	DET
ejpam-6653	358	26	deanship	deanship	NOUN
ejpam-6653	358	27	of	of	ADP
ejpam-6653	358	28	graduate	graduate	NOUN
ejpam-6653	358	29	studies	study	NOUN
ejpam-6653	358	30	and	and	CCONJ
ejpam-6653	358	31	scientific	scientific	ADJ
ejpam-6653	358	32	research	research	NOUN
ejpam-6653	358	33	,	,	PUNCT
ejpam-6653	358	34	islamic	islamic	PROPN
ejpam-6653	358	35	university	university	PROPN
ejpam-6653	358	36	of	of	ADP
ejpam-6653	358	37	madinah	madinah	PROPN
ejpam-6653	358	38	,	,	PUNCT
ejpam-6653	358	39	saudi	saudi	PROPN
ejpam-6653	358	40	arabia	arabia	PROPN
ejpam-6653	358	41	,	,	PUNCT
ejpam-6653	358	42	for	for	ADP
ejpam-6653	358	43	the	the	DET
ejpam-6653	358	44	support	support	NOUN
ejpam-6653	358	45	provided	provide	VERB
ejpam-6653	358	46	to	to	ADP
ejpam-6653	358	47	the	the	DET
ejpam-6653	358	48	post	post	ADJ
ejpam-6653	358	49	-	-	ADJ
ejpam-6653	358	50	publication	publication	ADJ
ejpam-6653	358	51	program	program	NOUN
ejpam-6653	358	52	(	(	PUNCT
ejpam-6653	358	53	4	4	NUM
ejpam-6653	358	54	)	)	PUNCT
ejpam-6653	358	55	.	.	PUNCT
ejpam-6653	359	1	the	the	DET
ejpam-6653	359	2	authors	author	NOUN
ejpam-6653	359	3	also	also	ADV
ejpam-6653	359	4	thank	thank	VERB
ejpam-6653	359	5	the	the	DET
ejpam-6653	359	6	unknown	unknown	ADJ
ejpam-6653	359	7	referees	referee	NOUN
ejpam-6653	359	8	and	and	CCONJ
ejpam-6653	359	9	editors	editor	NOUN
ejpam-6653	359	10	eyup	eyup	VERB
ejpam-6653	359	11	cetin	cetin	NOUN
ejpam-6653	359	12	and	and	CCONJ
ejpam-6653	359	13	baris	baris	PROPN
ejpam-6653	359	14	kiremitci	kiremitci	NOUN
ejpam-6653	359	15	for	for	ADP
ejpam-6653	359	16	their	their	PRON
ejpam-6653	359	17	valuable	valuable	ADJ
ejpam-6653	359	18	comments	comment	NOUN
ejpam-6653	359	19	and	and	CCONJ
ejpam-6653	359	20	suggestions	suggestion	NOUN
ejpam-6653	359	21	to	to	PART
ejpam-6653	359	22	improve	improve	VERB
ejpam-6653	359	23	the	the	DET
ejpam-6653	359	24	quality	quality	NOUN
ejpam-6653	359	25	of	of	ADP
ejpam-6653	359	26	the	the	DET
ejpam-6653	359	27	article	article	NOUN
ejpam-6653	359	28	.	.	PUNCT
ejpam-6653	360	1	references	reference	NOUN
ejpam-6653	360	2	[	[	X
ejpam-6653	360	3	1	1	X
ejpam-6653	360	4	]	]	PUNCT
ejpam-6653	360	5	geoffrey	geoffrey	PROPN
ejpam-6653	360	6	j	j	PROPN
ejpam-6653	360	7	mclachlan	mclachlan	PROPN
ejpam-6653	360	8	and	and	CCONJ
ejpam-6653	360	9	kaye	kaye	PROPN
ejpam-6653	360	10	e	e	PROPN
ejpam-6653	360	11	basford	basford	NOUN
ejpam-6653	360	12	.	.	PUNCT
ejpam-6653	361	1	mixture	mixture	NOUN
ejpam-6653	361	2	models	model	NOUN
ejpam-6653	361	3	:	:	PUNCT
ejpam-6653	361	4	inference	inference	NOUN
ejpam-6653	361	5	and	and	CCONJ
ejpam-6653	361	6	applications	application	NOUN
ejpam-6653	361	7	to	to	ADP
ejpam-6653	361	8	clustering	clustering	NOUN
ejpam-6653	361	9	,	,	PUNCT
ejpam-6653	361	10	volume	volume	NOUN
ejpam-6653	361	11	38	38	NUM
ejpam-6653	361	12	.	.	PUNCT
ejpam-6653	362	1	m.	m.	NOUN
ejpam-6653	362	2	dekker	dekker	PROPN
ejpam-6653	362	3	new	new	PROPN
ejpam-6653	362	4	york	york	PROPN
ejpam-6653	362	5	,	,	PUNCT
ejpam-6653	362	6	1988	1988	NUM
ejpam-6653	362	7	.	.	PUNCT
ejpam-6653	363	1	[	[	X
ejpam-6653	363	2	2	2	NUM
ejpam-6653	363	3	]	]	PUNCT
ejpam-6653	363	4	mohamed	mohamed	PROPN
ejpam-6653	363	5	e	e	PROPN
ejpam-6653	363	6	ghitany	ghitany	PROPN
ejpam-6653	363	7	,	,	PUNCT
ejpam-6653	363	8	barbra	barbra	PROPN
ejpam-6653	363	9	atieh	atieh	PROPN
ejpam-6653	363	10	,	,	PUNCT
ejpam-6653	363	11	and	and	CCONJ
ejpam-6653	363	12	saralees	saralee	VERB
ejpam-6653	363	13	nadarajah	nadarajah	NOUN
ejpam-6653	363	14	.	.	PUNCT
ejpam-6653	364	1	lindley	lindley	NOUN
ejpam-6653	364	2	distribution	distribution	NOUN
ejpam-6653	364	3	and	and	CCONJ
ejpam-6653	364	4	its	its	PRON
ejpam-6653	364	5	application	application	NOUN
ejpam-6653	364	6	.	.	PUNCT
ejpam-6653	365	1	mathematics	mathematic	NOUN
ejpam-6653	365	2	and	and	CCONJ
ejpam-6653	365	3	computers	computer	NOUN
ejpam-6653	365	4	in	in	ADP
ejpam-6653	365	5	simulation	simulation	NOUN
ejpam-6653	365	6	,	,	PUNCT
ejpam-6653	365	7	78(4):493–506	78(4):493–506	NUM
ejpam-6653	365	8	,	,	PUNCT
ejpam-6653	365	9	2008	2008	NUM
ejpam-6653	365	10	.	.	PUNCT
ejpam-6653	366	1	[	[	X
ejpam-6653	366	2	3	3	X
ejpam-6653	366	3	]	]	X
ejpam-6653	366	4	sudhansu	sudhansu	PROPN
ejpam-6653	366	5	s	s	PROPN
ejpam-6653	366	6	maiti	maiti	PROPN
ejpam-6653	366	7	,	,	PUNCT
ejpam-6653	366	8	molay	molay	NOUN
ejpam-6653	366	9	kumar	kumar	PROPN
ejpam-6653	366	10	ruidas	ruidas	PROPN
ejpam-6653	366	11	,	,	PUNCT
ejpam-6653	366	12	and	and	CCONJ
ejpam-6653	366	13	sumanta	sumanta	ADJ
ejpam-6653	366	14	adhya	adhya	PROPN
ejpam-6653	366	15	.	.	PUNCT
ejpam-6653	367	1	natural	natural	ADJ
ejpam-6653	367	2	discrete	discrete	ADJ
ejpam-6653	367	3	one	one	NUM
ejpam-6653	367	4	parameter	parameter	NOUN
ejpam-6653	367	5	polynomial	polynomial	ADJ
ejpam-6653	367	6	exponential	exponential	ADJ
ejpam-6653	367	7	family	family	NOUN
ejpam-6653	367	8	of	of	ADP
ejpam-6653	367	9	distributions	distribution	NOUN
ejpam-6653	367	10	and	and	CCONJ
ejpam-6653	367	11	the	the	DET
ejpam-6653	367	12	application	application	NOUN
ejpam-6653	367	13	.	.	PUNCT
ejpam-6653	368	1	annals	annal	NOUN
ejpam-6653	368	2	of	of	ADP
ejpam-6653	368	3	data	data	NOUN
ejpam-6653	368	4	science	science	NOUN
ejpam-6653	368	5	,	,	PUNCT
ejpam-6653	368	6	11(3):1051–1076	11(3):1051–1076	NUM
ejpam-6653	368	7	,	,	PUNCT
ejpam-6653	368	8	2024	2024	NUM
ejpam-6653	368	9	.	.	PUNCT
ejpam-6653	369	1	[	[	X
ejpam-6653	369	2	4	4	NUM
ejpam-6653	369	3	]	]	X
ejpam-6653	369	4	subhradev	subhradev	PROPN
ejpam-6653	369	5	sen	sen	PROPN
ejpam-6653	369	6	,	,	PUNCT
ejpam-6653	369	7	sudhansu	sudhansu	PROPN
ejpam-6653	369	8	s	s	PART
ejpam-6653	369	9	maiti	maiti	NOUN
ejpam-6653	369	10	,	,	PUNCT
ejpam-6653	369	11	and	and	CCONJ
ejpam-6653	369	12	n	n	DET
ejpam-6653	369	13	chandra	chandra	PROPN
ejpam-6653	369	14	.	.	PUNCT
ejpam-6653	370	1	the	the	DET
ejpam-6653	370	2	xgamma	xgamma	PROPN
ejpam-6653	370	3	distribution	distribution	NOUN
ejpam-6653	370	4	:	:	PUNCT
ejpam-6653	370	5	statistical	statistical	ADJ
ejpam-6653	370	6	properties	property	NOUN
ejpam-6653	370	7	and	and	CCONJ
ejpam-6653	370	8	application	application	NOUN
ejpam-6653	370	9	.	.	PUNCT
ejpam-6653	371	1	journal	journal	NOUN
ejpam-6653	371	2	of	of	ADP
ejpam-6653	371	3	modern	modern	ADJ
ejpam-6653	371	4	applied	apply	VERB
ejpam-6653	371	5	statistical	statistical	ADJ
ejpam-6653	371	6	methods	method	NOUN
ejpam-6653	371	7	,	,	PUNCT
ejpam-6653	371	8	15(1):38	15(1):38	NUM
ejpam-6653	371	9	,	,	PUNCT
ejpam-6653	371	10	2016	2016	NUM
ejpam-6653	371	11	.	.	PUNCT
ejpam-6653	372	1	[	[	X
ejpam-6653	372	2	5	5	X
ejpam-6653	372	3	]	]	X
ejpam-6653	372	4	dennis	dennis	PROPN
ejpam-6653	372	5	v	v	PROPN
ejpam-6653	372	6	lindley	lindley	NOUN
ejpam-6653	372	7	.	.	PUNCT
ejpam-6653	373	1	fiducial	fiducial	ADJ
ejpam-6653	373	2	distributions	distribution	NOUN
ejpam-6653	373	3	and	and	CCONJ
ejpam-6653	373	4	bayes	bayes	PROPN
ejpam-6653	373	5	’	'	PUNCT
ejpam-6653	373	6	theorem	theorem	PROPN
ejpam-6653	373	7	.	.	PROPN
ejpam-6653	373	8	journal	journal	PROPN
ejpam-6653	373	9	of	of	ADP
ejpam-6653	373	10	the	the	DET
ejpam-6653	373	11	royal	royal	ADJ
ejpam-6653	373	12	statistical	statistical	ADJ
ejpam-6653	373	13	society	society	NOUN
ejpam-6653	373	14	.	.	PUNCT
ejpam-6653	374	1	series	series	PROPN
ejpam-6653	374	2	b	b	PROPN
ejpam-6653	374	3	(	(	PUNCT
ejpam-6653	374	4	methodological	methodological	ADJ
ejpam-6653	374	5	)	)	PUNCT
ejpam-6653	374	6	,	,	PUNCT
ejpam-6653	374	7	pages	page	NOUN
ejpam-6653	374	8	102–107	102–107	NUM
ejpam-6653	374	9	,	,	PUNCT
ejpam-6653	374	10	1958	1958	NUM
ejpam-6653	374	11	.	.	PUNCT
ejpam-6653	375	1	[	[	X
ejpam-6653	375	2	6	6	NUM
ejpam-6653	375	3	]	]	SYM
ejpam-6653	375	4	r	r	NOUN
ejpam-6653	375	5	shanker	shanker	NOUN
ejpam-6653	375	6	.	.	PUNCT
ejpam-6653	376	1	shanker	shank	ADJ
ejpam-6653	376	2	distribution	distribution	NOUN
ejpam-6653	376	3	and	and	CCONJ
ejpam-6653	376	4	its	its	PRON
ejpam-6653	376	5	applications	application	NOUN
ejpam-6653	376	6	.	.	PUNCT
ejpam-6653	377	1	international	international	ADJ
ejpam-6653	377	2	journal	journal	PROPN
ejpam-6653	377	3	of	of	ADP
ejpam-6653	377	4	statistics	statistic	NOUN
ejpam-6653	377	5	and	and	CCONJ
ejpam-6653	377	6	applications	application	NOUN
ejpam-6653	377	7	,	,	PUNCT
ejpam-6653	377	8	5(6):338–348	5(6):338–348	NUM
ejpam-6653	377	9	,	,	PUNCT
ejpam-6653	377	10	2015	2015	NUM
ejpam-6653	377	11	.	.	PUNCT
ejpam-6653	378	1	[	[	X
ejpam-6653	378	2	7	7	X
ejpam-6653	378	3	]	]	X
ejpam-6653	378	4	halim	halim	PROPN
ejpam-6653	378	5	zeghdoudi	zeghdoudi	PROPN
ejpam-6653	378	6	and	and	CCONJ
ejpam-6653	378	7	sihem	sihem	PROPN
ejpam-6653	378	8	nedjar	nedjar	PROPN
ejpam-6653	378	9	.	.	PUNCT
ejpam-6653	379	1	gamma	gamma	PROPN
ejpam-6653	379	2	lindley	lindley	PROPN
ejpam-6653	379	3	distribution	distribution	NOUN
ejpam-6653	379	4	and	and	CCONJ
ejpam-6653	379	5	its	its	PRON
ejpam-6653	379	6	application	application	NOUN
ejpam-6653	379	7	.	.	PUNCT
ejpam-6653	380	1	journal	journal	PROPN
ejpam-6653	380	2	of	of	ADP
ejpam-6653	380	3	applied	apply	VERB
ejpam-6653	380	4	probability	probability	NOUN
ejpam-6653	380	5	and	and	CCONJ
ejpam-6653	380	6	statistics	statistic	NOUN
ejpam-6653	380	7	,	,	PUNCT
ejpam-6653	380	8	11(1):129–138	11(1):129–138	PROPN
ejpam-6653	380	9	,	,	PUNCT
ejpam-6653	380	10	2016	2016	NUM
ejpam-6653	380	11	.	.	PUNCT
ejpam-6653	381	1	[	[	X
ejpam-6653	381	2	8	8	NUM
ejpam-6653	381	3	]	]	X
ejpam-6653	381	4	norman	norman	PROPN
ejpam-6653	381	5	lloyd	lloyd	PROPN
ejpam-6653	381	6	johnson	johnson	PROPN
ejpam-6653	381	7	,	,	PUNCT
ejpam-6653	381	8	samuel	samuel	PROPN
ejpam-6653	381	9	kotz	kotz	PROPN
ejpam-6653	381	10	,	,	PUNCT
ejpam-6653	381	11	and	and	CCONJ
ejpam-6653	381	12	narayanaswamy	narayanaswamy	PROPN
ejpam-6653	381	13	balakrishnan	balakrishnan	PROPN
ejpam-6653	381	14	.	.	PUNCT
ejpam-6653	382	1	continuous	continuous	ADJ
ejpam-6653	382	2	univariate	univariate	ADJ
ejpam-6653	382	3	distributions	distribution	NOUN
ejpam-6653	382	4	.	.	PUNCT
ejpam-6653	383	1	1994	1994	NUM
ejpam-6653	383	2	.	.	PUNCT
ejpam-6653	384	1	[	[	X
ejpam-6653	384	2	9	9	NUM
ejpam-6653	384	3	]	]	X
ejpam-6653	384	4	hassan	hassan	PROPN
ejpam-6653	384	5	s	s	PART
ejpam-6653	384	6	bakouch	bakouch	ADJ
ejpam-6653	384	7	,	,	PUNCT
ejpam-6653	384	8	bander	bander	PROPN
ejpam-6653	384	9	m	m	PROPN
ejpam-6653	384	10	al	al	PROPN
ejpam-6653	384	11	-	-	PUNCT
ejpam-6653	384	12	zahrani	zahrani	PROPN
ejpam-6653	384	13	,	,	PUNCT
ejpam-6653	384	14	ali	ali	PROPN
ejpam-6653	384	15	a	a	PROPN
ejpam-6653	384	16	al	al	PROPN
ejpam-6653	384	17	-	-	PUNCT
ejpam-6653	384	18	shomrani	shomrani	PROPN
ejpam-6653	384	19	,	,	PUNCT
ejpam-6653	384	20	vitor	vitor	PROPN
ejpam-6653	384	21	aa	aa	PROPN
ejpam-6653	384	22	marchi	marchi	PROPN
ejpam-6653	384	23	,	,	PUNCT
ejpam-6653	384	24	and	and	CCONJ
ejpam-6653	384	25	francisco	francisco	PROPN
ejpam-6653	384	26	louzada	louzada	PROPN
ejpam-6653	384	27	.	.	PUNCT
ejpam-6653	385	1	an	an	DET
ejpam-6653	385	2	extended	extended	ADJ
ejpam-6653	385	3	lindley	lindley	NOUN
ejpam-6653	385	4	distribution	distribution	NOUN
ejpam-6653	385	5	.	.	PUNCT
ejpam-6653	386	1	journal	journal	NOUN
ejpam-6653	386	2	of	of	ADP
ejpam-6653	386	3	the	the	DET
ejpam-6653	386	4	korean	korean	ADJ
ejpam-6653	386	5	statistical	statistical	ADJ
ejpam-6653	386	6	society	society	NOUN
ejpam-6653	386	7	,	,	PUNCT
ejpam-6653	386	8	41(1):75–85	41(1):75–85	NUM
ejpam-6653	386	9	,	,	PUNCT
ejpam-6653	386	10	2012	2012	NUM
ejpam-6653	386	11	.	.	PUNCT
ejpam-6653	387	1	[	[	X
ejpam-6653	387	2	10	10	NUM
ejpam-6653	387	3	]	]	X
ejpam-6653	387	4	haitham	haitham	PROPN
ejpam-6653	387	5	m	m	PROPN
ejpam-6653	387	6	yousof	yousof	NOUN
ejpam-6653	387	7	,	,	PUNCT
ejpam-6653	387	8	mustafa	mustafa	PROPN
ejpam-6653	387	9	ç	ç	PROPN
ejpam-6653	387	10	korkmaz	korkmaz	PROPN
ejpam-6653	387	11	,	,	PUNCT
ejpam-6653	387	12	and	and	CCONJ
ejpam-6653	387	13	subhradev	subhradev	PROPN
ejpam-6653	387	14	sen	sen	PROPN
ejpam-6653	387	15	.	.	PROPN
ejpam-6653	387	16	a	a	DET
ejpam-6653	387	17	new	new	ADJ
ejpam-6653	387	18	two	two	NUM
ejpam-6653	387	19	-	-	PUNCT
ejpam-6653	387	20	parameter	parameter	NOUN
ejpam-6653	387	21	lifetime	lifetime	NOUN
ejpam-6653	387	22	model	model	NOUN
ejpam-6653	387	23	.	.	PUNCT
ejpam-6653	388	1	annals	annal	NOUN
ejpam-6653	388	2	of	of	ADP
ejpam-6653	388	3	data	data	NOUN
ejpam-6653	388	4	science	science	NOUN
ejpam-6653	388	5	,	,	PUNCT
ejpam-6653	388	6	8:91–106	8:91–106	NUM
ejpam-6653	388	7	,	,	PUNCT
ejpam-6653	388	8	2021	2021	NUM
ejpam-6653	388	9	.	.	PUNCT
ejpam-6653	389	1	[	[	X
ejpam-6653	389	2	11	11	NUM
ejpam-6653	389	3	]	]	X
ejpam-6653	389	4	aam	aam	PROPN
ejpam-6653	389	5	mahmoud	mahmoud	PROPN
ejpam-6653	389	6	,	,	PUNCT
ejpam-6653	389	7	rana	rana	PROPN
ejpam-6653	389	8	h	h	PROPN
ejpam-6653	389	9	khashab	khashab	PROPN
ejpam-6653	389	10	,	,	PUNCT
ejpam-6653	389	11	zakiah	zakiah	PROPN
ejpam-6653	389	12	i	i	PRON
ejpam-6653	389	13	kalantan	kalantan	VERB
ejpam-6653	389	14	,	,	PUNCT
ejpam-6653	389	15	sulafah	sulafah	PROPN
ejpam-6653	389	16	m	m	PROPN
ejpam-6653	389	17	saleh	saleh	PROPN
ejpam-6653	389	18	binhimd	binhimd	PROPN
ejpam-6653	389	19	,	,	PUNCT
ejpam-6653	389	20	amani	amani	PROPN
ejpam-6653	389	21	s	s	PART
ejpam-6653	389	22	alghamdi	alghamdi	NOUN
ejpam-6653	389	23	,	,	PUNCT
ejpam-6653	389	24	and	and	CCONJ
ejpam-6653	389	25	said	say	VERB
ejpam-6653	389	26	g	g	PROPN
ejpam-6653	389	27	nassr	nassr	PROPN
ejpam-6653	389	28	.	.	PUNCT
ejpam-6653	390	1	on	on	ADP
ejpam-6653	390	2	bivariate	bivariate	ADJ
ejpam-6653	390	3	compound	compound	NOUN
ejpam-6653	390	4	exponentiated	exponentiate	VERB
ejpam-6653	390	5	survival	survival	NOUN
ejpam-6653	390	6	function	function	NOUN
ejpam-6653	390	7	of	of	ADP
ejpam-6653	390	8	the	the	DET
ejpam-6653	390	9	beta	beta	ADJ
ejpam-6653	390	10	distribution	distribution	NOUN
ejpam-6653	390	11	:	:	PUNCT
ejpam-6653	390	12	estimation	estimation	NOUN
ejpam-6653	390	13	and	and	CCONJ
ejpam-6653	390	14	prediction	prediction	NOUN
ejpam-6653	390	15	.	.	PUNCT
ejpam-6653	391	1	journal	journal	NOUN
ejpam-6653	391	2	of	of	ADP
ejpam-6653	391	3	radiation	radiation	NOUN
ejpam-6653	391	4	research	research	NOUN
ejpam-6653	391	5	and	and	CCONJ
ejpam-6653	391	6	applied	apply	VERB
ejpam-6653	391	7	sciences	science	NOUN
ejpam-6653	391	8	,	,	PUNCT
ejpam-6653	391	9	17(2):100886	17(2):100886	NUM
ejpam-6653	391	10	,	,	PUNCT
ejpam-6653	391	11	2024	2024	NUM
ejpam-6653	391	12	.	.	PUNCT
ejpam-6653	392	1	[	[	X
ejpam-6653	392	2	12	12	NUM
ejpam-6653	392	3	]	]	PUNCT
ejpam-6653	392	4	xiangming	xiangming	PROPN
ejpam-6653	392	5	tang	tang	PROPN
ejpam-6653	392	6	,	,	PUNCT
ejpam-6653	392	7	jin	jin	NOUN
ejpam-6653	392	8	-	-	PUNCT
ejpam-6653	392	9	taek	taek	PROPN
ejpam-6653	392	10	seong	seong	PROPN
ejpam-6653	392	11	,	,	PUNCT
ejpam-6653	392	12	randa	randa	PROPN
ejpam-6653	392	13	alharbi	alharbi	PROPN
ejpam-6653	392	14	,	,	PUNCT
ejpam-6653	392	15	aned	ane	VERB
ejpam-6653	392	16	al	al	PROPN
ejpam-6653	392	17	mutairi	mutairi	PROPN
ejpam-6653	392	18	,	,	PUNCT
ejpam-6653	392	19	and	and	CCONJ
ejpam-6653	392	20	said	say	VERB
ejpam-6653	392	21	g	g	PROPN
ejpam-6653	392	22	nasr	nasr	PROPN
ejpam-6653	392	23	.	.	PUNCT
ejpam-6653	393	1	a	a	DET
ejpam-6653	393	2	new	new	ADJ
ejpam-6653	393	3	probabilistic	probabilistic	ADJ
ejpam-6653	393	4	model	model	NOUN
ejpam-6653	393	5	:	:	PUNCT
ejpam-6653	393	6	theory	theory	NOUN
ejpam-6653	393	7	,	,	PUNCT
ejpam-6653	393	8	simulation	simulation	NOUN
ejpam-6653	393	9	and	and	CCONJ
ejpam-6653	393	10	applications	application	NOUN
ejpam-6653	393	11	to	to	ADP
ejpam-6653	393	12	sports	sport	NOUN
ejpam-6653	393	13	and	and	CCONJ
ejpam-6653	393	14	failure	failure	NOUN
ejpam-6653	393	15	times	times	PROPN
ejpam-6653	393	16	data	data	PROPN
ejpam-6653	393	17	.	.	PUNCT
ejpam-6653	394	1	heliyon	heliyon	PROPN
ejpam-6653	394	2	,	,	PUNCT
ejpam-6653	394	3	10(4	10(4	NUM
ejpam-6653	394	4	)	)	PUNCT
ejpam-6653	394	5	,	,	PUNCT
ejpam-6653	394	6	2024	2024	NUM
ejpam-6653	394	7	.	.	PUNCT
ejpam-6653	395	1	[	[	X
ejpam-6653	395	2	13	13	NUM
ejpam-6653	395	3	]	]	X
ejpam-6653	395	4	mustafa	mustafa	PROPN
ejpam-6653	395	5	kamal	kamal	PROPN
ejpam-6653	395	6	,	,	PUNCT
ejpam-6653	395	7	meshayil	meshayil	PROPN
ejpam-6653	395	8	m	m	PROPN
ejpam-6653	395	9	alsolmi	alsolmi	ADJ
ejpam-6653	395	10	,	,	PUNCT
ejpam-6653	395	11	aned	ane	VERB
ejpam-6653	395	12	al	al	PROPN
ejpam-6653	395	13	mutairi	mutairi	PROPN
ejpam-6653	395	14	,	,	PUNCT
ejpam-6653	395	15	eslam	eslam	PROPN
ejpam-6653	395	16	hussam	hussam	PROPN
ejpam-6653	395	17	,	,	PUNCT
ejpam-6653	395	18	manahil	manahil	PROPN
ejpam-6653	395	19	sidahmed	sidahme	VERB
ejpam-6653	395	20	mustafa	mustafa	PROPN
ejpam-6653	395	21	,	,	PUNCT
ejpam-6653	395	22	said	say	VERB
ejpam-6653	395	23	g	g	PROPN
ejpam-6653	395	24	nassr	nassr	PROPN
ejpam-6653	395	25	,	,	PUNCT
ejpam-6653	395	26	et	et	PROPN
ejpam-6653	395	27	al	al	PROPN
ejpam-6653	395	28	.	.	PUNCT
ejpam-6653	396	1	a	a	DET
ejpam-6653	396	2	new	new	ADJ
ejpam-6653	396	3	distributional	distributional	ADJ
ejpam-6653	396	4	approach	approach	NOUN
ejpam-6653	396	5	:	:	PUNCT
ejpam-6653	396	6	estimam	estimam	PROPN
ejpam-6653	396	7	.	.	PUNCT
ejpam-6653	397	1	i.	i.	PROPN
ejpam-6653	397	2	khan	khan	PROPN
ejpam-6653	397	3	,	,	PUNCT
ejpam-6653	397	4	m.	m.	PROPN
ejpam-6653	397	5	k.	k.	PROPN
ejpam-6653	397	6	ruidas	ruidas	PROPN
ejpam-6653	397	7	/	/	SYM
ejpam-6653	397	8	eur	eur	PROPN
ejpam-6653	397	9	.	.	PUNCT
ejpam-6653	398	1	j.	j.	PROPN
ejpam-6653	398	2	pure	pure	PROPN
ejpam-6653	398	3	appl	appl	PROPN
ejpam-6653	398	4	.	.	PROPN
ejpam-6653	398	5	math	math	PROPN
ejpam-6653	398	6	,	,	PUNCT
ejpam-6653	398	7	18	18	NUM
ejpam-6653	398	8	(	(	PUNCT
ejpam-6653	398	9	4	4	NUM
ejpam-6653	398	10	)	)	PUNCT
ejpam-6653	398	11	(	(	PUNCT
ejpam-6653	398	12	2025	2025	NUM
ejpam-6653	398	13	)	)	PUNCT
ejpam-6653	398	14	,	,	PUNCT
ejpam-6653	398	15	6653	6653	NUM
ejpam-6653	398	16	22	22	NUM
ejpam-6653	398	17	of	of	ADP
ejpam-6653	398	18	22	22	NUM
ejpam-6653	398	19	tion	tion	NOUN
ejpam-6653	398	20	,	,	PUNCT
ejpam-6653	398	21	monte	monte	PROPN
ejpam-6653	398	22	carlo	carlo	PROPN
ejpam-6653	398	23	simulation	simulation	PROPN
ejpam-6653	398	24	and	and	CCONJ
ejpam-6653	398	25	applications	application	NOUN
ejpam-6653	398	26	to	to	ADP
ejpam-6653	398	27	the	the	DET
ejpam-6653	398	28	biomedical	biomedical	ADJ
ejpam-6653	398	29	data	data	NOUN
ejpam-6653	398	30	sets	set	NOUN
ejpam-6653	398	31	.	.	PUNCT
ejpam-6653	399	1	networks	network	NOUN
ejpam-6653	399	2	&	&	CCONJ
ejpam-6653	399	3	heterogeneous	heterogeneous	ADJ
ejpam-6653	399	4	media	medium	NOUN
ejpam-6653	399	5	,	,	PUNCT
ejpam-6653	399	6	18(4	18(4	NUM
ejpam-6653	399	7	)	)	PUNCT
ejpam-6653	399	8	,	,	PUNCT
ejpam-6653	399	9	2023	2023	NUM
ejpam-6653	399	10	.	.	PUNCT
ejpam-6653	400	1	[	[	X
ejpam-6653	400	2	14	14	NUM
ejpam-6653	400	3	]	]	X
ejpam-6653	400	4	mahendra	mahendra	PROPN
ejpam-6653	400	5	saha	saha	PROPN
ejpam-6653	400	6	,	,	PUNCT
ejpam-6653	400	7	abhimanyu	abhimanyu	PROPN
ejpam-6653	400	8	singh	singh	PROPN
ejpam-6653	400	9	yadav	yadav	PROPN
ejpam-6653	400	10	,	,	PUNCT
ejpam-6653	400	11	arvind	arvind	PROPN
ejpam-6653	400	12	pandey	pandey	PROPN
ejpam-6653	400	13	,	,	PUNCT
ejpam-6653	400	14	shivanshi	shivanshi	PROPN
ejpam-6653	400	15	shukla	shukla	PROPN
ejpam-6653	400	16	,	,	PUNCT
ejpam-6653	400	17	and	and	CCONJ
ejpam-6653	400	18	sudhansu	sudhansu	PROPN
ejpam-6653	400	19	s	s	PART
ejpam-6653	400	20	maiti	maiti	NOUN
ejpam-6653	400	21	.	.	PUNCT
ejpam-6653	401	1	the	the	DET
ejpam-6653	401	2	extended	extend	VERB
ejpam-6653	401	3	xgamma	xgamma	NOUN
ejpam-6653	401	4	distribution	distribution	NOUN
ejpam-6653	401	5	.	.	PUNCT
ejpam-6653	402	1	arxiv	arxiv	PROPN
ejpam-6653	402	2	preprint	preprint	PROPN
ejpam-6653	402	3	arxiv:1909.01103	arxiv:1909.01103	PROPN
ejpam-6653	402	4	,	,	PUNCT
ejpam-6653	402	5	2019	2019	NUM
ejpam-6653	402	6	.	.	PUNCT
ejpam-6653	403	1	[	[	X
ejpam-6653	403	2	15	15	NUM
ejpam-6653	403	3	]	]	X
ejpam-6653	403	4	hamouda	hamouda	NOUN
ejpam-6653	403	5	messaadia	messaadia	PROPN
ejpam-6653	403	6	and	and	CCONJ
ejpam-6653	403	7	halim	halim	PROPN
ejpam-6653	403	8	zeghdoudi	zeghdoudi	PROPN
ejpam-6653	403	9	.	.	PUNCT
ejpam-6653	404	1	zeghdoudi	zeghdoudi	ADJ
ejpam-6653	404	2	distribution	distribution	NOUN
ejpam-6653	404	3	and	and	CCONJ
ejpam-6653	404	4	its	its	PRON
ejpam-6653	404	5	applications	application	NOUN
ejpam-6653	404	6	.	.	PUNCT
ejpam-6653	405	1	international	international	ADJ
ejpam-6653	405	2	journal	journal	PROPN
ejpam-6653	405	3	of	of	ADP
ejpam-6653	405	4	computing	compute	VERB
ejpam-6653	405	5	science	science	NOUN
ejpam-6653	405	6	and	and	CCONJ
ejpam-6653	405	7	mathematics	mathematic	NOUN
ejpam-6653	405	8	,	,	PUNCT
ejpam-6653	405	9	9(1):58–65	9(1):58–65	NUM
ejpam-6653	405	10	,	,	PUNCT
ejpam-6653	405	11	2018	2018	NUM
ejpam-6653	405	12	.	.	PUNCT
ejpam-6653	406	1	[	[	X
ejpam-6653	406	2	16	16	NUM
ejpam-6653	406	3	]	]	X
ejpam-6653	406	4	lahsen	lahsen	PROPN
ejpam-6653	406	5	bouchahed	bouchahe	VERB
ejpam-6653	406	6	and	and	CCONJ
ejpam-6653	406	7	halim	halim	PROPN
ejpam-6653	406	8	zeghdoudi	zeghdoudi	PROPN
ejpam-6653	406	9	.	.	PUNCT
ejpam-6653	407	1	a	a	DET
ejpam-6653	407	2	new	new	ADJ
ejpam-6653	407	3	and	and	CCONJ
ejpam-6653	407	4	unified	unified	ADJ
ejpam-6653	407	5	approach	approach	NOUN
ejpam-6653	407	6	in	in	ADP
ejpam-6653	407	7	generalizing	generalize	VERB
ejpam-6653	407	8	the	the	DET
ejpam-6653	407	9	lindley	lindley	NOUN
ejpam-6653	407	10	’s	’s	PART
ejpam-6653	407	11	distribution	distribution	NOUN
ejpam-6653	407	12	with	with	ADP
ejpam-6653	407	13	applications	application	NOUN
ejpam-6653	407	14	.	.	PUNCT
ejpam-6653	408	1	statistics	statistic	NOUN
ejpam-6653	408	2	,	,	PUNCT
ejpam-6653	408	3	61	61	NUM
ejpam-6653	408	4	,	,	PUNCT
ejpam-6653	408	5	2018	2018	NUM
ejpam-6653	408	6	.	.	PUNCT
ejpam-6653	409	1	[	[	X
ejpam-6653	409	2	17	17	NUM
ejpam-6653	409	3	]	]	X
ejpam-6653	409	4	moshe	moshe	PROPN
ejpam-6653	409	5	shaked	shake	VERB
ejpam-6653	409	6	,	,	PUNCT
ejpam-6653	409	7	j	j	PROPN
ejpam-6653	409	8	george	george	PROPN
ejpam-6653	409	9	shanthikumar	shanthikumar	PROPN
ejpam-6653	409	10	,	,	PUNCT
ejpam-6653	409	11	and	and	CCONJ
ejpam-6653	409	12	yl	yl	NOUN
ejpam-6653	409	13	tong	tong	PROPN
ejpam-6653	409	14	.	.	PUNCT
ejpam-6653	410	1	stochastic	stochastic	ADJ
ejpam-6653	410	2	orders	order	NOUN
ejpam-6653	410	3	and	and	CCONJ
ejpam-6653	410	4	their	their	PRON
ejpam-6653	410	5	applications	application	NOUN
ejpam-6653	410	6	.	.	PUNCT
ejpam-6653	411	1	siam	siam	PROPN
ejpam-6653	411	2	review	review	PROPN
ejpam-6653	411	3	,	,	PUNCT
ejpam-6653	411	4	37(3):477–478	37(3):477–478	PROPN
ejpam-6653	411	5	,	,	PUNCT
ejpam-6653	411	6	1995	1995	NUM
ejpam-6653	411	7	.	.	PUNCT
ejpam-6653	412	1	[	[	X
ejpam-6653	412	2	18	18	NUM
ejpam-6653	412	3	]	]	PUNCT
ejpam-6653	412	4	subhradev	subhradev	PROPN
ejpam-6653	412	5	sen	sen	PROPN
ejpam-6653	412	6	,	,	PUNCT
ejpam-6653	412	7	n	n	PRON
ejpam-6653	412	8	chandra	chandra	PROPN
ejpam-6653	412	9	,	,	PUNCT
ejpam-6653	412	10	and	and	CCONJ
ejpam-6653	412	11	sudhansu	sudhansu	PROPN
ejpam-6653	412	12	s	s	PART
ejpam-6653	412	13	maiti	maiti	NOUN
ejpam-6653	412	14	.	.	PUNCT
ejpam-6653	413	1	on	on	ADP
ejpam-6653	413	2	properties	property	NOUN
ejpam-6653	413	3	and	and	CCONJ
ejpam-6653	413	4	applications	application	NOUN
ejpam-6653	413	5	of	of	ADP
ejpam-6653	413	6	a	a	DET
ejpam-6653	413	7	two	two	NUM
ejpam-6653	413	8	-	-	PUNCT
ejpam-6653	413	9	parameter	parameter	NOUN
ejpam-6653	413	10	xgamma	xgamma	NOUN
ejpam-6653	413	11	distribution	distribution	NOUN
ejpam-6653	413	12	.	.	PUNCT
ejpam-6653	414	1	journal	journal	NOUN
ejpam-6653	414	2	of	of	ADP
ejpam-6653	414	3	statistical	statistical	ADJ
ejpam-6653	414	4	theory	theory	NOUN
ejpam-6653	414	5	and	and	CCONJ
ejpam-6653	414	6	applications	application	NOUN
ejpam-6653	414	7	,	,	PUNCT
ejpam-6653	414	8	17(4):674–685	17(4):674–685	NUM
ejpam-6653	414	9	,	,	PUNCT
ejpam-6653	414	10	2018	2018	NUM
ejpam-6653	414	11	.	.	PUNCT
ejpam-6653	415	1	[	[	X
ejpam-6653	415	2	19	19	NUM
ejpam-6653	415	3	]	]	X
ejpam-6653	415	4	r	r	NOUN
ejpam-6653	415	5	core	core	NOUN
ejpam-6653	415	6	team	team	NOUN
ejpam-6653	415	7	.	.	PUNCT
ejpam-6653	416	1	r	r	X
ejpam-6653	416	2	:	:	PUNCT
ejpam-6653	416	3	a	a	DET
ejpam-6653	416	4	language	language	NOUN
ejpam-6653	416	5	and	and	CCONJ
ejpam-6653	416	6	environment	environment	NOUN
ejpam-6653	416	7	for	for	ADP
ejpam-6653	416	8	statistical	statistical	ADJ
ejpam-6653	416	9	computing	computing	NOUN
ejpam-6653	416	10	.	.	PUNCT
ejpam-6653	417	1	r	r	NOUN
ejpam-6653	417	2	foundation	foundation	NOUN
ejpam-6653	417	3	for	for	ADP
ejpam-6653	417	4	statistical	statistical	ADJ
ejpam-6653	417	5	computing	computing	NOUN
ejpam-6653	417	6	.	.	PUNCT
ejpam-6653	418	1	vienna	vienna	PROPN
ejpam-6653	418	2	,	,	PUNCT
ejpam-6653	418	3	austria	austria	PROPN
ejpam-6653	418	4	,	,	PUNCT
ejpam-6653	418	5	2025	2025	NUM
ejpam-6653	418	6	.	.	PUNCT
ejpam-6653	419	1	[	[	X
ejpam-6653	419	2	20	20	NUM
ejpam-6653	419	3	]	]	PUNCT
ejpam-6653	419	4	ross	ross	PROPN
ejpam-6653	419	5	ihaka	ihaka	NOUN
ejpam-6653	419	6	and	and	CCONJ
ejpam-6653	419	7	robert	robert	PROPN
ejpam-6653	419	8	gentleman	gentleman	PROPN
ejpam-6653	419	9	.	.	PUNCT
ejpam-6653	420	1	r	r	X
ejpam-6653	420	2	:	:	PUNCT
ejpam-6653	420	3	a	a	DET
ejpam-6653	420	4	language	language	NOUN
ejpam-6653	420	5	for	for	ADP
ejpam-6653	420	6	data	data	NOUN
ejpam-6653	420	7	analysis	analysis	NOUN
ejpam-6653	420	8	and	and	CCONJ
ejpam-6653	420	9	graphics	graphic	NOUN
ejpam-6653	420	10	.	.	PUNCT
ejpam-6653	421	1	journal	journal	PROPN
ejpam-6653	421	2	of	of	ADP
ejpam-6653	421	3	computational	computational	ADJ
ejpam-6653	421	4	and	and	CCONJ
ejpam-6653	421	5	graphical	graphical	ADJ
ejpam-6653	421	6	statistics	statistic	NOUN
ejpam-6653	421	7	,	,	PUNCT
ejpam-6653	421	8	5(3):299–314	5(3):299–314	NOUN
ejpam-6653	421	9	,	,	PUNCT
ejpam-6653	421	10	1996	1996	NUM
ejpam-6653	421	11	.	.	PUNCT
ejpam-6653	422	1	[	[	X
ejpam-6653	422	2	21	21	NUM
ejpam-6653	422	3	]	]	X
ejpam-6653	422	4	richard	richard	PROPN
ejpam-6653	422	5	l	l	PROPN
ejpam-6653	422	6	smith	smith	PROPN
ejpam-6653	422	7	and	and	CCONJ
ejpam-6653	422	8	j.	j.	PROPN
ejpam-6653	422	9	c.	c.	PROPN
ejpam-6653	422	10	naylor	naylor	PROPN
ejpam-6653	422	11	.	.	PUNCT
ejpam-6653	423	1	a	a	DET
ejpam-6653	423	2	comparison	comparison	NOUN
ejpam-6653	423	3	of	of	ADP
ejpam-6653	423	4	maximum	maximum	ADJ
ejpam-6653	423	5	likelihood	likelihood	NOUN
ejpam-6653	423	6	and	and	CCONJ
ejpam-6653	423	7	bayesian	bayesian	NOUN
ejpam-6653	423	8	estimators	estimator	NOUN
ejpam-6653	423	9	for	for	ADP
ejpam-6653	423	10	the	the	DET
ejpam-6653	423	11	three	three	NUM
ejpam-6653	423	12	-	-	PUNCT
ejpam-6653	423	13	parameter	parameter	NOUN
ejpam-6653	423	14	weibull	weibull	NOUN
ejpam-6653	423	15	distribution	distribution	NOUN
ejpam-6653	423	16	.	.	PUNCT
ejpam-6653	424	1	journal	journal	NOUN
ejpam-6653	424	2	of	of	ADP
ejpam-6653	424	3	the	the	DET
ejpam-6653	424	4	royal	royal	ADJ
ejpam-6653	424	5	statistical	statistical	ADJ
ejpam-6653	424	6	society	society	NOUN
ejpam-6653	424	7	:	:	PUNCT
ejpam-6653	424	8	series	series	PROPN
ejpam-6653	424	9	c	c	PROPN
ejpam-6653	424	10	(	(	PUNCT
ejpam-6653	424	11	applied	apply	VERB
ejpam-6653	424	12	statistics	statistic	NOUN
ejpam-6653	424	13	)	)	PUNCT
ejpam-6653	424	14	,	,	PUNCT
ejpam-6653	424	15	36(3):358–369	36(3):358–369	PROPN
ejpam-6653	424	16	,	,	PUNCT
ejpam-6653	424	17	1987	1987	NUM
ejpam-6653	424	18	.	.	PUNCT
ejpam-6653	425	1	[	[	X
ejpam-6653	425	2	22	22	NUM
ejpam-6653	425	3	]	]	X
ejpam-6653	425	4	hassan	hassan	PROPN
ejpam-6653	425	5	s	s	VERB
ejpam-6653	425	6	bakouch	bakouch	ADJ
ejpam-6653	425	7	,	,	PUNCT
ejpam-6653	425	8	abdus	abdus	PRON
ejpam-6653	425	9	saboor	saboor	VERB
ejpam-6653	425	10	,	,	PUNCT
ejpam-6653	425	11	and	and	CCONJ
ejpam-6653	425	12	muhammad	muhammad	PROPN
ejpam-6653	425	13	nauman	nauman	PROPN
ejpam-6653	425	14	khan	khan	PROPN
ejpam-6653	425	15	.	.	PUNCT
ejpam-6653	426	1	modified	modify	VERB
ejpam-6653	426	2	beta	beta	ADJ
ejpam-6653	426	3	linear	linear	ADJ
ejpam-6653	426	4	exponential	exponential	ADJ
ejpam-6653	426	5	distribution	distribution	NOUN
ejpam-6653	426	6	with	with	ADP
ejpam-6653	426	7	hydrologic	hydrologic	ADJ
ejpam-6653	426	8	applications	application	NOUN
ejpam-6653	426	9	.	.	PUNCT
ejpam-6653	427	1	annals	annal	NOUN
ejpam-6653	427	2	of	of	ADP
ejpam-6653	427	3	data	data	NOUN
ejpam-6653	427	4	science	science	NOUN
ejpam-6653	427	5	,	,	PUNCT
ejpam-6653	427	6	8(1):131–157	8(1):131–157	NUM
ejpam-6653	427	7	,	,	PUNCT
ejpam-6653	427	8	2021	2021	NUM
ejpam-6653	427	9	.	.	PUNCT
ejpam-6653	428	1	[	[	X
ejpam-6653	428	2	23	23	NUM
ejpam-6653	428	3	]	]	PUNCT
ejpam-6653	428	4	abdulhakim	abdulhakim	NOUN
ejpam-6653	428	5	a	a	DET
ejpam-6653	428	6	al	al	PROPN
ejpam-6653	428	7	-	-	PUNCT
ejpam-6653	428	8	babtain	babtain	NOUN
ejpam-6653	428	9	,	,	PUNCT
ejpam-6653	428	10	abdul	abdul	PROPN
ejpam-6653	428	11	hadi	hadi	PROPN
ejpam-6653	428	12	n	n	PROPN
ejpam-6653	428	13	ahmed	ahme	VERB
ejpam-6653	428	14	,	,	PUNCT
ejpam-6653	428	15	and	and	CCONJ
ejpam-6653	428	16	ahmed	ahmed	PROPN
ejpam-6653	428	17	z	z	PROPN
ejpam-6653	428	18	afify	afify	NOUN
ejpam-6653	428	19	.	.	PUNCT
ejpam-6653	429	1	a	a	DET
ejpam-6653	429	2	new	new	ADJ
ejpam-6653	429	3	discrete	discrete	ADJ
ejpam-6653	429	4	analog	analog	NOUN
ejpam-6653	429	5	of	of	ADP
ejpam-6653	429	6	the	the	DET
ejpam-6653	429	7	continuous	continuous	ADJ
ejpam-6653	429	8	lindley	lindley	NOUN
ejpam-6653	429	9	distribution	distribution	NOUN
ejpam-6653	429	10	,	,	PUNCT
ejpam-6653	429	11	with	with	ADP
ejpam-6653	429	12	reliability	reliability	NOUN
ejpam-6653	429	13	applications	application	NOUN
ejpam-6653	429	14	.	.	PUNCT
ejpam-6653	430	1	entropy	entropy	PROPN
ejpam-6653	430	2	,	,	PUNCT
ejpam-6653	430	3	22(6):603	22(6):603	NOUN
ejpam-6653	430	4	,	,	PUNCT
ejpam-6653	430	5	2020	2020	NUM
ejpam-6653	430	6	.	.	PUNCT
ejpam-6653	431	1	[	[	X
ejpam-6653	431	2	24	24	NUM
ejpam-6653	431	3	]	]	PUNCT
ejpam-6653	431	4	vikas	vikas	PROPN
ejpam-6653	431	5	kumar	kumar	PROPN
ejpam-6653	431	6	sharm	sharm	PROPN
ejpam-6653	431	7	,	,	PUNCT
ejpam-6653	431	8	sanjay	sanjay	PROPN
ejpam-6653	431	9	kumar	kumar	PROPN
ejpam-6653	431	10	singh	singh	PROPN
ejpam-6653	431	11	,	,	PUNCT
ejpam-6653	431	12	and	and	CCONJ
ejpam-6653	431	13	umesh	umesh	PROPN
ejpam-6653	431	14	singh	singh	PROPN
ejpam-6653	431	15	.	.	PUNCT
ejpam-6653	432	1	classical	classical	ADJ
ejpam-6653	432	2	and	and	CCONJ
ejpam-6653	432	3	bayesian	bayesian	ADJ
ejpam-6653	432	4	methods	method	NOUN
ejpam-6653	432	5	of	of	ADP
ejpam-6653	432	6	estimation	estimation	NOUN
ejpam-6653	432	7	for	for	ADP
ejpam-6653	432	8	power	power	NOUN
ejpam-6653	432	9	lindley	lindley	NOUN
ejpam-6653	432	10	distribution	distribution	NOUN
ejpam-6653	432	11	with	with	ADP
ejpam-6653	432	12	application	application	NOUN
ejpam-6653	432	13	to	to	ADP
ejpam-6653	432	14	waiting	wait	VERB
ejpam-6653	432	15	time	time	NOUN
ejpam-6653	432	16	data	datum	NOUN
ejpam-6653	432	17	.	.	PUNCT
ejpam-6653	433	1	communications	communication	NOUN
ejpam-6653	433	2	for	for	ADP
ejpam-6653	433	3	statistical	statistical	ADJ
ejpam-6653	433	4	applications	application	NOUN
ejpam-6653	433	5	and	and	CCONJ
ejpam-6653	433	6	methods	method	NOUN
ejpam-6653	433	7	,	,	PUNCT
ejpam-6653	433	8	24(3):193–209	24(3):193–209	NOUN
ejpam-6653	433	9	,	,	PUNCT
ejpam-6653	433	10	2017	2017	NUM
ejpam-6653	433	11	.	.	PUNCT