id	sid	tid	token	lemma	pos
ejpam-5737	1	1	european	european	PROPN
ejpam-5737	1	2	journal	journal	PROPN
ejpam-5737	1	3	of	of	ADP
ejpam-5737	1	4	pure	pure	ADJ
ejpam-5737	1	5	and	and	CCONJ
ejpam-5737	1	6	applied	applied	ADJ
ejpam-5737	1	7	mathematics	mathematic	NOUN
ejpam-5737	1	8	2025	2025	NUM
ejpam-5737	1	9	,	,	PUNCT
ejpam-5737	1	10	vol	vol	NOUN
ejpam-5737	1	11	.	.	PROPN
ejpam-5737	1	12	18	18	NUM
ejpam-5737	1	13	,	,	PUNCT
ejpam-5737	1	14	issue	issue	NOUN
ejpam-5737	1	15	1	1	NUM
ejpam-5737	1	16	,	,	PUNCT
ejpam-5737	1	17	article	article	NOUN
ejpam-5737	1	18	number	number	NOUN
ejpam-5737	1	19	5737	5737	NUM
ejpam-5737	1	20	issn	issn	PROPN
ejpam-5737	1	21	1307	1307	NUM
ejpam-5737	1	22	-	-	SYM
ejpam-5737	1	23	5543	5543	NUM
ejpam-5737	1	24	–	–	PUNCT
ejpam-5737	1	25	ejpam.com	ejpam.com	X
ejpam-5737	1	26	published	publish	VERB
ejpam-5737	1	27	by	by	ADP
ejpam-5737	1	28	new	new	PROPN
ejpam-5737	1	29	york	york	PROPN
ejpam-5737	1	30	business	business	PROPN
ejpam-5737	1	31	global	global	ADJ
ejpam-5737	1	32	statistical	statistical	ADJ
ejpam-5737	1	33	inference	inference	NOUN
ejpam-5737	1	34	based	base	VERB
ejpam-5737	1	35	on	on	ADP
ejpam-5737	1	36	censored	censored	ADJ
ejpam-5737	1	37	data	datum	NOUN
ejpam-5737	1	38	of	of	ADP
ejpam-5737	1	39	entropy	entropy	NOUN
ejpam-5737	1	40	for	for	ADP
ejpam-5737	1	41	lomax	lomax	PROPN
ejpam-5737	1	42	distribution	distribution	PROPN
ejpam-5737	1	43	samah	samah	PROPN
ejpam-5737	1	44	m.	m.	PROPN
ejpam-5737	1	45	ahmed1	ahmed1	PROPN
ejpam-5737	1	46	,	,	PUNCT
ejpam-5737	1	47	gamal	gamal	PROPN
ejpam-5737	1	48	m.	m.	PROPN
ejpam-5737	1	49	ismail2,∗	ismail2,∗	PROPN
ejpam-5737	1	50	1	1	NUM
ejpam-5737	1	51	department	department	NOUN
ejpam-5737	1	52	of	of	ADP
ejpam-5737	1	53	mathematics	mathematic	NOUN
ejpam-5737	1	54	,	,	PUNCT
ejpam-5737	1	55	faculty	faculty	NOUN
ejpam-5737	1	56	of	of	ADP
ejpam-5737	1	57	science	science	NOUN
ejpam-5737	1	58	,	,	PUNCT
ejpam-5737	1	59	sohag	sohag	NOUN
ejpam-5737	1	60	university	university	NOUN
ejpam-5737	1	61	,	,	PUNCT
ejpam-5737	1	62	sohag	sohag	NOUN
ejpam-5737	1	63	82524	82524	NUM
ejpam-5737	1	64	,	,	PUNCT
ejpam-5737	1	65	egypt	egypt	PROPN
ejpam-5737	1	66	2	2	NUM
ejpam-5737	1	67	department	department	NOUN
ejpam-5737	1	68	of	of	ADP
ejpam-5737	1	69	mathematics	mathematic	NOUN
ejpam-5737	1	70	,	,	PUNCT
ejpam-5737	1	71	faculty	faculty	NOUN
ejpam-5737	1	72	of	of	ADP
ejpam-5737	1	73	science	science	NOUN
ejpam-5737	1	74	,	,	PUNCT
ejpam-5737	1	75	islamic	islamic	PROPN
ejpam-5737	1	76	university	university	PROPN
ejpam-5737	1	77	of	of	ADP
ejpam-5737	1	78	madinah	madinah	PROPN
ejpam-5737	1	79	,	,	PUNCT
ejpam-5737	1	80	madinah	madinah	PROPN
ejpam-5737	1	81	,	,	PUNCT
ejpam-5737	1	82	42351	42351	NUM
ejpam-5737	1	83	,	,	PUNCT
ejpam-5737	1	84	saudi	saudi	PROPN
ejpam-5737	1	85	arabia	arabia	PROPN
ejpam-5737	1	86	abstract	abstract	NOUN
ejpam-5737	1	87	.	.	PUNCT
ejpam-5737	2	1	the	the	DET
ejpam-5737	2	2	current	current	ADJ
ejpam-5737	2	3	research	research	NOUN
ejpam-5737	2	4	centers	center	NOUN
ejpam-5737	2	5	around	around	ADP
ejpam-5737	2	6	entropy	entropy	PROPN
ejpam-5737	2	7	.	.	PUNCT
ejpam-5737	3	1	this	this	DET
ejpam-5737	3	2	paper	paper	NOUN
ejpam-5737	3	3	investigates	investigate	VERB
ejpam-5737	3	4	the	the	DET
ejpam-5737	3	5	estimation	estimation	NOUN
ejpam-5737	3	6	of	of	ADP
ejpam-5737	3	7	entropy	entropy	NOUN
ejpam-5737	3	8	for	for	ADP
ejpam-5737	3	9	the	the	DET
ejpam-5737	3	10	lomax	lomax	PROPN
ejpam-5737	3	11	(	(	PUNCT
ejpam-5737	3	12	lo	lo	NOUN
ejpam-5737	3	13	)	)	PUNCT
ejpam-5737	3	14	distribution	distribution	NOUN
ejpam-5737	3	15	using	use	VERB
ejpam-5737	3	16	an	an	DET
ejpam-5737	3	17	adaptive	adaptive	ADJ
ejpam-5737	3	18	progressive	progressive	ADJ
ejpam-5737	3	19	type	type	NOUN
ejpam-5737	3	20	-	-	PUNCT
ejpam-5737	3	21	ii	ii	NOUN
ejpam-5737	3	22	censored	censored	ADJ
ejpam-5737	3	23	data	datum	NOUN
ejpam-5737	3	24	.	.	PUNCT
ejpam-5737	4	1	the	the	DET
ejpam-5737	4	2	entropy	entropy	PROPN
ejpam-5737	4	3	maximum	maximum	PROPN
ejpam-5737	4	4	likelihood	likelihood	NOUN
ejpam-5737	4	5	estimate	estimate	NOUN
ejpam-5737	4	6	is	be	AUX
ejpam-5737	4	7	computed	compute	VERB
ejpam-5737	4	8	and	and	CCONJ
ejpam-5737	4	9	the	the	DET
ejpam-5737	4	10	bootstrap	bootstrap	NOUN
ejpam-5737	4	11	confidence	confidence	NOUN
ejpam-5737	4	12	intervals	interval	NOUN
ejpam-5737	4	13	of	of	ADP
ejpam-5737	4	14	entropy	entropy	NOUN
ejpam-5737	4	15	are	be	AUX
ejpam-5737	4	16	displayed	display	VERB
ejpam-5737	4	17	,	,	PUNCT
ejpam-5737	4	18	approximate	approximate	ADJ
ejpam-5737	4	19	confidence	confidence	NOUN
ejpam-5737	4	20	intervals	interval	NOUN
ejpam-5737	4	21	are	be	AUX
ejpam-5737	4	22	constructed	construct	VERB
ejpam-5737	4	23	using	use	VERB
ejpam-5737	4	24	the	the	DET
ejpam-5737	4	25	asymptotic	asymptotic	ADJ
ejpam-5737	4	26	normality	normality	NOUN
ejpam-5737	4	27	of	of	ADP
ejpam-5737	4	28	maximum	maximum	ADJ
ejpam-5737	4	29	likelihood	likelihood	NOUN
ejpam-5737	4	30	estimation	estimation	NOUN
ejpam-5737	4	31	and	and	CCONJ
ejpam-5737	4	32	the	the	DET
ejpam-5737	4	33	observed	observed	ADJ
ejpam-5737	4	34	fisher	fisher	PROPN
ejpam-5737	4	35	information	information	NOUN
ejpam-5737	4	36	matrix	matrix	NOUN
ejpam-5737	4	37	.	.	PUNCT
ejpam-5737	5	1	the	the	DET
ejpam-5737	5	2	bayes	bayes	PROPN
ejpam-5737	5	3	entropy	entropy	PROPN
ejpam-5737	5	4	estimator	estimator	NOUN
ejpam-5737	5	5	is	be	AUX
ejpam-5737	5	6	demonstrated	demonstrate	VERB
ejpam-5737	5	7	using	use	VERB
ejpam-5737	5	8	the	the	DET
ejpam-5737	5	9	symmetric	symmetric	ADJ
ejpam-5737	5	10	and	and	CCONJ
ejpam-5737	5	11	asymmetric	asymmetric	ADJ
ejpam-5737	5	12	loss	loss	NOUN
ejpam-5737	5	13	functions	function	NOUN
ejpam-5737	5	14	.	.	PUNCT
ejpam-5737	6	1	to	to	PART
ejpam-5737	6	2	further	far	ADV
ejpam-5737	6	3	assess	assess	VERB
ejpam-5737	6	4	the	the	DET
ejpam-5737	6	5	performance	performance	NOUN
ejpam-5737	6	6	of	of	ADP
ejpam-5737	6	7	the	the	DET
ejpam-5737	6	8	entropy	entropy	NOUN
ejpam-5737	6	9	estimators	estimator	NOUN
ejpam-5737	6	10	,	,	PUNCT
ejpam-5737	6	11	particularly	particularly	ADV
ejpam-5737	6	12	under	under	ADP
ejpam-5737	6	13	various	various	ADJ
ejpam-5737	6	14	loss	loss	NOUN
ejpam-5737	6	15	functions	function	NOUN
ejpam-5737	6	16	,	,	PUNCT
ejpam-5737	6	17	such	such	ADJ
ejpam-5737	6	18	as	as	ADP
ejpam-5737	6	19	linear	linear	PROPN
ejpam-5737	6	20	exponential	exponential	NOUN
ejpam-5737	6	21	and	and	CCONJ
ejpam-5737	6	22	squared	square	VERB
ejpam-5737	6	23	error	error	NOUN
ejpam-5737	6	24	,	,	PUNCT
ejpam-5737	6	25	the	the	DET
ejpam-5737	6	26	posterior	posterior	ADJ
ejpam-5737	6	27	distribution	distribution	NOUN
ejpam-5737	6	28	was	be	AUX
ejpam-5737	6	29	calculated	calculate	VERB
ejpam-5737	6	30	.	.	PUNCT
ejpam-5737	7	1	then	then	ADV
ejpam-5737	7	2	,	,	PUNCT
ejpam-5737	7	3	using	use	VERB
ejpam-5737	7	4	monte	monte	PROPN
ejpam-5737	7	5	carlo	carlo	PROPN
ejpam-5737	7	6	simulations	simulation	NOUN
ejpam-5737	7	7	,	,	PUNCT
ejpam-5737	7	8	various	various	ADJ
ejpam-5737	7	9	approaches	approach	NOUN
ejpam-5737	7	10	are	be	AUX
ejpam-5737	7	11	compared	compare	VERB
ejpam-5737	7	12	to	to	PART
ejpam-5737	7	13	identify	identify	VERB
ejpam-5737	7	14	the	the	DET
ejpam-5737	7	15	believable	believable	ADJ
ejpam-5737	7	16	intervals	interval	NOUN
ejpam-5737	7	17	of	of	ADP
ejpam-5737	7	18	the	the	DET
ejpam-5737	7	19	entropy	entropy	PROPN
ejpam-5737	7	20	’s	’s	PART
ejpam-5737	7	21	highest	high	ADJ
ejpam-5737	7	22	posterior	posterior	ADJ
ejpam-5737	7	23	density	density	NOUN
ejpam-5737	7	24	.	.	PUNCT
ejpam-5737	8	1	lastly	lastly	ADV
ejpam-5737	8	2	,	,	PUNCT
ejpam-5737	8	3	the	the	DET
ejpam-5737	8	4	recommended	recommend	VERB
ejpam-5737	8	5	methods	method	NOUN
ejpam-5737	8	6	are	be	AUX
ejpam-5737	8	7	illustrated	illustrate	VERB
ejpam-5737	8	8	using	use	VERB
ejpam-5737	8	9	a	a	DET
ejpam-5737	8	10	numerical	numerical	ADJ
ejpam-5737	8	11	example	example	NOUN
ejpam-5737	8	12	.	.	PUNCT
ejpam-5737	9	1	2020	2020	NUM
ejpam-5737	9	2	mathematics	mathematic	NOUN
ejpam-5737	9	3	subject	subject	NOUN
ejpam-5737	9	4	classifications	classification	NOUN
ejpam-5737	9	5	:	:	PUNCT
ejpam-5737	9	6	62f10	62f10	NUM
ejpam-5737	9	7	,	,	PUNCT
ejpam-5737	9	8	62f15	62f15	NUM
ejpam-5737	9	9	,	,	PUNCT
ejpam-5737	9	10	62f40	62f40	NUM
ejpam-5737	9	11	key	key	ADJ
ejpam-5737	9	12	words	word	NOUN
ejpam-5737	9	13	and	and	CCONJ
ejpam-5737	9	14	phrases	phrase	NOUN
ejpam-5737	9	15	:	:	PUNCT
ejpam-5737	9	16	lomax	lomax	PROPN
ejpam-5737	9	17	model	model	PROPN
ejpam-5737	9	18	,	,	PUNCT
ejpam-5737	9	19	entropy	entropy	PROPN
ejpam-5737	9	20	;	;	PUNCT
ejpam-5737	9	21	maximum	maximum	ADJ
ejpam-5737	9	22	likelihood	likelihood	NOUN
ejpam-5737	9	23	estimator	estimator	NOUN
ejpam-5737	9	24	,	,	PUNCT
ejpam-5737	9	25	bootstrap	bootstrap	NOUN
ejpam-5737	9	26	resampling	resampling	NOUN
ejpam-5737	9	27	,	,	PUNCT
ejpam-5737	9	28	adaptive	adaptive	ADJ
ejpam-5737	9	29	progressive	progressive	ADJ
ejpam-5737	9	30	type	type	NOUN
ejpam-5737	9	31	-	-	PUNCT
ejpam-5737	9	32	ii	ii	NOUN
ejpam-5737	9	33	censored	censor	VERB
ejpam-5737	9	34	data	datum	NOUN
ejpam-5737	9	35	,	,	PUNCT
ejpam-5737	9	36	bayes	bayes	PROPN
ejpam-5737	9	37	estimator	estimator	NOUN
ejpam-5737	9	38	,	,	PUNCT
ejpam-5737	9	39	symmetric	symmetric	ADJ
ejpam-5737	9	40	and	and	CCONJ
ejpam-5737	9	41	asymmetric	asymmetric	ADJ
ejpam-5737	9	42	loss	loss	NOUN
ejpam-5737	9	43	functions	function	NOUN
ejpam-5737	9	44	1	1	NUM
ejpam-5737	9	45	.	.	PUNCT
ejpam-5737	10	1	introduction	introduction	NOUN
ejpam-5737	10	2	entropy	entropy	NOUN
ejpam-5737	10	3	is	be	AUX
ejpam-5737	10	4	a	a	DET
ejpam-5737	10	5	quantitative	quantitative	ADJ
ejpam-5737	10	6	measure	measure	NOUN
ejpam-5737	10	7	of	of	ADP
ejpam-5737	10	8	uncertainty	uncertainty	NOUN
ejpam-5737	10	9	within	within	ADP
ejpam-5737	10	10	a	a	DET
ejpam-5737	10	11	probability	probability	NOUN
ejpam-5737	10	12	distribution	distribution	NOUN
ejpam-5737	10	13	.	.	PUNCT
ejpam-5737	11	1	entropy	entropy	PROPN
ejpam-5737	11	2	is	be	AUX
ejpam-5737	11	3	a	a	DET
ejpam-5737	11	4	measure	measure	NOUN
ejpam-5737	11	5	that	that	PRON
ejpam-5737	11	6	reflects	reflect	VERB
ejpam-5737	11	7	the	the	DET
ejpam-5737	11	8	expected	expect	VERB
ejpam-5737	11	9	value	value	NOUN
ejpam-5737	11	10	of	of	ADP
ejpam-5737	11	11	information	information	NOUN
ejpam-5737	11	12	contained	contain	VERB
ejpam-5737	11	13	within	within	ADP
ejpam-5737	11	14	a	a	DET
ejpam-5737	11	15	random	random	ADJ
ejpam-5737	11	16	variable	variable	NOUN
ejpam-5737	11	17	.	.	PUNCT
ejpam-5737	12	1	a	a	DET
ejpam-5737	12	2	higher	high	ADJ
ejpam-5737	12	3	entropy	entropy	NOUN
ejpam-5737	12	4	value	value	NOUN
ejpam-5737	12	5	signifies	signify	VERB
ejpam-5737	12	6	a	a	DET
ejpam-5737	12	7	lower	low	ADJ
ejpam-5737	12	8	information	information	NOUN
ejpam-5737	12	9	content	content	NOUN
ejpam-5737	12	10	within	within	ADP
ejpam-5737	12	11	the	the	DET
ejpam-5737	12	12	observed	observed	ADJ
ejpam-5737	12	13	data	datum	NOUN
ejpam-5737	12	14	.	.	PUNCT
ejpam-5737	13	1	the	the	DET
ejpam-5737	13	2	measurement	measurement	NOUN
ejpam-5737	13	3	of	of	ADP
ejpam-5737	13	4	entropy	entropy	PROPN
ejpam-5737	13	5	is	be	AUX
ejpam-5737	13	6	a	a	DET
ejpam-5737	13	7	significant	significant	ADJ
ejpam-5737	13	8	issue	issue	NOUN
ejpam-5737	13	9	in	in	ADP
ejpam-5737	13	10	numerous	numerous	ADJ
ejpam-5737	13	11	areas	area	NOUN
ejpam-5737	13	12	,	,	PUNCT
ejpam-5737	13	13	including	include	VERB
ejpam-5737	13	14	statistics	statistic	NOUN
ejpam-5737	13	15	,	,	PUNCT
ejpam-5737	13	16	economics	economic	NOUN
ejpam-5737	13	17	,	,	PUNCT
ejpam-5737	13	18	information	information	NOUN
ejpam-5737	13	19	technology	technology	NOUN
ejpam-5737	13	20	,	,	PUNCT
ejpam-5737	13	21	physics	physics	NOUN
ejpam-5737	13	22	,	,	PUNCT
ejpam-5737	13	23	and	and	CCONJ
ejpam-5737	13	24	the	the	DET
ejpam-5737	13	25	analysis	analysis	NOUN
ejpam-5737	13	26	of	of	ADP
ejpam-5737	13	27	biological	biological	ADJ
ejpam-5737	13	28	phenomena	phenomenon	NOUN
ejpam-5737	13	29	.	.	PUNCT
ejpam-5737	14	1	for	for	ADP
ejpam-5737	14	2	example	example	NOUN
ejpam-5737	14	3	,	,	PUNCT
ejpam-5737	14	4	entropy	entropy	PROPN
ejpam-5737	14	5	can	can	AUX
ejpam-5737	14	6	be	be	AUX
ejpam-5737	14	7	used	use	VERB
ejpam-5737	14	8	to	to	PART
ejpam-5737	14	9	evaluate	evaluate	VERB
ejpam-5737	14	10	the	the	DET
ejpam-5737	14	11	probability	probability	NOUN
ejpam-5737	14	12	distribution	distribution	NOUN
ejpam-5737	14	13	of	of	ADP
ejpam-5737	14	14	electric	electric	ADJ
ejpam-5737	14	15	charge	charge	NOUN
ejpam-5737	14	16	among	among	ADP
ejpam-5737	14	17	atoms	atom	NOUN
ejpam-5737	14	18	under	under	ADP
ejpam-5737	14	19	specific	specific	ADJ
ejpam-5737	14	20	conditions	condition	NOUN
ejpam-5737	14	21	.	.	PUNCT
ejpam-5737	15	1	this	this	DET
ejpam-5737	15	2	wide	wide	ADJ
ejpam-5737	15	3	applicability	applicability	NOUN
ejpam-5737	15	4	has	have	AUX
ejpam-5737	15	5	led	lead	VERB
ejpam-5737	15	6	to	to	ADP
ejpam-5737	15	7	extensive	extensive	ADJ
ejpam-5737	15	8	research	research	NOUN
ejpam-5737	15	9	on	on	ADP
ejpam-5737	15	10	entropy	entropy	NOUN
ejpam-5737	15	11	.	.	PUNCT
ejpam-5737	16	1	the	the	DET
ejpam-5737	16	2	concept	concept	NOUN
ejpam-5737	16	3	of	of	ADP
ejpam-5737	16	4	entropy	entropy	PROPN
ejpam-5737	16	5	,	,	PUNCT
ejpam-5737	16	6	as	as	ADP
ejpam-5737	16	7	a	a	DET
ejpam-5737	16	8	measure	measure	NOUN
ejpam-5737	16	9	of	of	ADP
ejpam-5737	16	10	information	information	NOUN
ejpam-5737	16	11	that	that	SCONJ
ejpam-5737	16	12	∗corresponding	∗corresponde	VERB
ejpam-5737	16	13	author	author	NOUN
ejpam-5737	16	14	.	.	PUNCT
ejpam-5737	17	1	doi	doi	NOUN
ejpam-5737	17	2	:	:	PUNCT
ejpam-5737	17	3	https://doi.org/10.29020/nybg.ejpam.v18i1.5737	https://doi.org/10.29020/nybg.ejpam.v18i1.5737	PROPN
ejpam-5737	17	4	email	email	NOUN
ejpam-5737	17	5	addresses	address	NOUN
ejpam-5737	17	6	:	:	PUNCT
ejpam-5737	17	7	sam	sam	PROPN
ejpam-5737	17	8	8711@yahoo.com	8711@yahoo.com	NUM
ejpam-5737	17	9	(	(	PUNCT
ejpam-5737	17	10	s.	s.	PROPN
ejpam-5737	17	11	m.	m.	PROPN
ejpam-5737	17	12	ahmed	ahmed	PROPN
ejpam-5737	17	13	)	)	PUNCT
ejpam-5737	17	14	,	,	PUNCT
ejpam-5737	17	15	gismail@iu.edu.sa	gismail@iu.edu.sa	PROPN
ejpam-5737	17	16	(	(	PUNCT
ejpam-5737	17	17	g.	g.	PROPN
ejpam-5737	17	18	m.	m.	PROPN
ejpam-5737	17	19	ismail	ismail	PROPN
ejpam-5737	17	20	)	)	PUNCT
ejpam-5737	17	21	https://www.ejpam.com	https://www.ejpam.com	X
ejpam-5737	18	1	1	1	NUM
ejpam-5737	18	2	copyright	copyright	NOUN
ejpam-5737	18	3	:	:	PUNCT
ejpam-5737	18	4	©	©	PROPN
ejpam-5737	18	5	2025	2025	NUM
ejpam-5737	18	6	the	the	DET
ejpam-5737	18	7	author(s	author(s	NOUN
ejpam-5737	18	8	)	)	PUNCT
ejpam-5737	18	9	.	.	PUNCT
ejpam-5737	19	1	(	(	PUNCT
ejpam-5737	19	2	cc	cc	NOUN
ejpam-5737	19	3	by	by	ADP
ejpam-5737	19	4	-	-	PUNCT
ejpam-5737	19	5	nc	nc	PROPN
ejpam-5737	19	6	4.0	4.0	NUM
ejpam-5737	19	7	)	)	PUNCT
ejpam-5737	19	8	s.	s.	PROPN
ejpam-5737	19	9	m.	m.	PROPN
ejpam-5737	19	10	ahmed	ahmed	PROPN
ejpam-5737	19	11	,	,	PUNCT
ejpam-5737	19	12	g.	g.	PROPN
ejpam-5737	19	13	m.	m.	PROPN
ejpam-5737	19	14	ismail	ismail	PROPN
ejpam-5737	19	15	/	/	SYM
ejpam-5737	19	16	eur	eur	PROPN
ejpam-5737	19	17	.	.	PUNCT
ejpam-5737	20	1	j.	j.	PROPN
ejpam-5737	20	2	pure	pure	PROPN
ejpam-5737	20	3	appl	appl	PROPN
ejpam-5737	20	4	.	.	PROPN
ejpam-5737	20	5	math	math	PROPN
ejpam-5737	20	6	,	,	PUNCT
ejpam-5737	20	7	18	18	NUM
ejpam-5737	20	8	(	(	PUNCT
ejpam-5737	20	9	1	1	NUM
ejpam-5737	20	10	)	)	PUNCT
ejpam-5737	20	11	(	(	PUNCT
ejpam-5737	20	12	2025	2025	NUM
ejpam-5737	20	13	)	)	PUNCT
ejpam-5737	20	14	,	,	PUNCT
ejpam-5737	20	15	5737	5737	NUM
ejpam-5737	20	16	2	2	NUM
ejpam-5737	20	17	of	of	ADP
ejpam-5737	20	18	22	22	NUM
ejpam-5737	20	19	provides	provide	VERB
ejpam-5737	20	20	a	a	DET
ejpam-5737	20	21	quantitative	quantitative	ADJ
ejpam-5737	20	22	measure	measure	NOUN
ejpam-5737	20	23	of	of	ADP
ejpam-5737	20	24	uncertainty	uncertainty	NOUN
ejpam-5737	20	25	,	,	PUNCT
ejpam-5737	20	26	was	be	AUX
ejpam-5737	20	27	introduced	introduce	VERB
ejpam-5737	20	28	by	by	ADP
ejpam-5737	20	29	shannon	shannon	PROPN
ejpam-5737	21	1	[	[	X
ejpam-5737	21	2	1	1	NUM
ejpam-5737	21	3	]	]	PUNCT
ejpam-5737	21	4	.	.	PUNCT
ejpam-5737	22	1	wong	wong	PROPN
ejpam-5737	22	2	and	and	CCONJ
ejpam-5737	22	3	chan	chan	PROPN
ejpam-5737	23	1	[	[	X
ejpam-5737	23	2	2	2	X
ejpam-5737	23	3	]	]	PUNCT
ejpam-5737	23	4	demonstrated	demonstrate	VERB
ejpam-5737	23	5	that	that	SCONJ
ejpam-5737	23	6	entropy	entropy	NOUN
ejpam-5737	23	7	decreases	decrease	NOUN
ejpam-5737	23	8	when	when	SCONJ
ejpam-5737	23	9	data	datum	NOUN
ejpam-5737	23	10	is	be	AUX
ejpam-5737	23	11	ordered	order	VERB
ejpam-5737	23	12	.	.	PUNCT
ejpam-5737	24	1	aboeleneen	aboeleneen	VERB
ejpam-5737	25	1	[	[	X
ejpam-5737	25	2	3	3	X
ejpam-5737	25	3	]	]	PUNCT
ejpam-5737	25	4	simplified	simplify	VERB
ejpam-5737	25	5	the	the	DET
ejpam-5737	25	6	entropy	entropy	NOUN
ejpam-5737	25	7	calculation	calculation	NOUN
ejpam-5737	25	8	and	and	CCONJ
ejpam-5737	25	9	derived	derive	VERB
ejpam-5737	25	10	recurrence	recurrence	NOUN
ejpam-5737	25	11	relations	relation	NOUN
ejpam-5737	25	12	using	use	VERB
ejpam-5737	25	13	progressively	progressively	ADV
ejpam-5737	25	14	type	type	NOUN
ejpam-5737	25	15	-	-	PUNCT
ejpam-5737	25	16	ii	ii	NOUN
ejpam-5737	25	17	censored	censor	VERB
ejpam-5737	25	18	samples	sample	NOUN
ejpam-5737	25	19	.	.	PUNCT
ejpam-5737	26	1	sunoj	sunoj	PROPN
ejpam-5737	26	2	et	et	PROPN
ejpam-5737	26	3	al	al	PROPN
ejpam-5737	26	4	.	.	PUNCT
ejpam-5737	27	1	[	[	X
ejpam-5737	27	2	4	4	X
ejpam-5737	27	3	]	]	PUNCT
ejpam-5737	27	4	introduced	introduce	VERB
ejpam-5737	27	5	a	a	DET
ejpam-5737	27	6	shannon	shannon	PROPN
ejpam-5737	27	7	entropy	entropy	PROPN
ejpam-5737	27	8	function	function	NOUN
ejpam-5737	27	9	based	base	VERB
ejpam-5737	27	10	on	on	ADP
ejpam-5737	27	11	quantiles	quantile	NOUN
ejpam-5737	27	12	and	and	CCONJ
ejpam-5737	27	13	investigated	investigate	VERB
ejpam-5737	27	14	the	the	DET
ejpam-5737	27	15	properties	property	NOUN
ejpam-5737	27	16	of	of	ADP
ejpam-5737	27	17	the	the	DET
ejpam-5737	27	18	residual	residual	ADJ
ejpam-5737	27	19	entropy	entropy	NOUN
ejpam-5737	27	20	function	function	NOUN
ejpam-5737	27	21	.	.	PUNCT
ejpam-5737	28	1	seo	seo	NOUN
ejpam-5737	28	2	et	et	PROPN
ejpam-5737	28	3	al	al	PROPN
ejpam-5737	28	4	.	.	PUNCT
ejpam-5737	29	1	[	[	X
ejpam-5737	29	2	5	5	NUM
ejpam-5737	29	3	]	]	PUNCT
ejpam-5737	29	4	obtained	obtain	VERB
ejpam-5737	29	5	an	an	DET
ejpam-5737	29	6	entropy	entropy	NOUN
ejpam-5737	29	7	estimator	estimator	NOUN
ejpam-5737	29	8	using	use	VERB
ejpam-5737	29	9	upper	upper	ADJ
ejpam-5737	29	10	record	record	NOUN
ejpam-5737	29	11	values	value	NOUN
ejpam-5737	29	12	from	from	ADP
ejpam-5737	29	13	the	the	DET
ejpam-5737	29	14	generalized	generalized	ADJ
ejpam-5737	29	15	half	half	ADJ
ejpam-5737	29	16	-	-	PUNCT
ejpam-5737	29	17	logistic	logistic	ADJ
ejpam-5737	29	18	distribution	distribution	NOUN
ejpam-5737	29	19	.	.	PUNCT
ejpam-5737	30	1	cho	cho	PROPN
ejpam-5737	30	2	et	et	PROPN
ejpam-5737	30	3	al	al	PROPN
ejpam-5737	30	4	.	.	PUNCT
ejpam-5737	31	1	[	[	X
ejpam-5737	31	2	6	6	NUM
ejpam-5737	31	3	]	]	PUNCT
ejpam-5737	31	4	discussed	discuss	VERB
ejpam-5737	31	5	an	an	DET
ejpam-5737	31	6	estimation	estimation	NOUN
ejpam-5737	31	7	of	of	ADP
ejpam-5737	31	8	the	the	DET
ejpam-5737	31	9	entropy	entropy	NOUN
ejpam-5737	31	10	for	for	ADP
ejpam-5737	31	11	a	a	DET
ejpam-5737	31	12	rayleigh	rayleigh	NOUN
ejpam-5737	31	13	distribution	distribution	NOUN
ejpam-5737	31	14	based	base	VERB
ejpam-5737	31	15	on	on	ADP
ejpam-5737	31	16	doubly	doubly	ADV
ejpam-5737	31	17	-	-	PUNCT
ejpam-5737	31	18	generalized	generalize	VERB
ejpam-5737	31	19	type	type	NOUN
ejpam-5737	31	20	-	-	PUNCT
ejpam-5737	31	21	ii	ii	NOUN
ejpam-5737	31	22	hybrid	hybrid	ADJ
ejpam-5737	31	23	censored	censor	VERB
ejpam-5737	31	24	samples	sample	NOUN
ejpam-5737	31	25	.	.	PUNCT
ejpam-5737	32	1	the	the	DET
ejpam-5737	32	2	entropy	entropy	NOUN
ejpam-5737	32	3	under	under	ADP
ejpam-5737	32	4	type	type	NOUN
ejpam-5737	32	5	-	-	PUNCT
ejpam-5737	32	6	ii	ii	NOUN
ejpam-5737	32	7	censored	censor	VERB
ejpam-5737	32	8	data	datum	NOUN
ejpam-5737	32	9	and	and	CCONJ
ejpam-5737	32	10	doubly	doubly	ADV
ejpam-5737	32	11	generalized	generalized	ADJ
ejpam-5737	32	12	type	type	NOUN
ejpam-5737	32	13	-	-	PUNCT
ejpam-5737	32	14	ii	ii	NOUN
ejpam-5737	32	15	hybrid	hybrid	NOUN
ejpam-5737	32	16	censoring	censor	VERB
ejpam-5737	32	17	are	be	AUX
ejpam-5737	32	18	examined	examine	VERB
ejpam-5737	32	19	by	by	ADP
ejpam-5737	32	20	zhao	zhao	PROPN
ejpam-5737	32	21	et	et	PROPN
ejpam-5737	32	22	al	al	PROPN
ejpam-5737	32	23	.	.	PUNCT
ejpam-5737	33	1	[	[	X
ejpam-5737	33	2	7	7	NUM
ejpam-5737	33	3	]	]	PUNCT
ejpam-5737	33	4	.	.	PUNCT
ejpam-5737	34	1	cho	cho	PROPN
ejpam-5737	34	2	et	et	PROPN
ejpam-5737	34	3	al	al	PROPN
ejpam-5737	34	4	.	.	PUNCT
ejpam-5737	35	1	[	[	X
ejpam-5737	35	2	8	8	NUM
ejpam-5737	35	3	]	]	PUNCT
ejpam-5737	35	4	investigated	investigate	VERB
ejpam-5737	35	5	bayesian	bayesian	NOUN
ejpam-5737	35	6	estimators	estimator	NOUN
ejpam-5737	35	7	of	of	ADP
ejpam-5737	35	8	entropy	entropy	NOUN
ejpam-5737	35	9	for	for	ADP
ejpam-5737	35	10	the	the	DET
ejpam-5737	35	11	weibull	weibull	NOUN
ejpam-5737	35	12	distribution	distribution	NOUN
ejpam-5737	35	13	using	use	VERB
ejpam-5737	35	14	a	a	DET
ejpam-5737	35	15	generalized	generalized	ADJ
ejpam-5737	35	16	progressive	progressive	ADJ
ejpam-5737	35	17	hybrid	hybrid	ADJ
ejpam-5737	35	18	censoring	censor	VERB
ejpam-5737	35	19	scheme	scheme	NOUN
ejpam-5737	35	20	.	.	PUNCT
ejpam-5737	36	1	similarly	similarly	ADV
ejpam-5737	36	2	,	,	PUNCT
ejpam-5737	36	3	lee	lee	PROPN
ejpam-5737	37	1	[	[	X
ejpam-5737	37	2	9	9	NUM
ejpam-5737	37	3	]	]	PUNCT
ejpam-5737	37	4	studied	study	VERB
ejpam-5737	37	5	maximum	maximum	ADJ
ejpam-5737	37	6	likelihood	likelihood	NOUN
ejpam-5737	37	7	and	and	CCONJ
ejpam-5737	37	8	bayesian	bayesian	NOUN
ejpam-5737	37	9	estimators	estimator	NOUN
ejpam-5737	37	10	of	of	ADP
ejpam-5737	37	11	entropy	entropy	NOUN
ejpam-5737	37	12	for	for	ADP
ejpam-5737	37	13	the	the	DET
ejpam-5737	37	14	inverse	inverse	ADJ
ejpam-5737	37	15	weibull	weibull	NOUN
ejpam-5737	37	16	distribution	distribution	NOUN
ejpam-5737	37	17	under	under	ADP
ejpam-5737	37	18	a	a	DET
ejpam-5737	37	19	generalized	generalized	ADJ
ejpam-5737	37	20	progressive	progressive	ADJ
ejpam-5737	37	21	hybrid	hybrid	ADJ
ejpam-5737	37	22	censoring	censor	VERB
ejpam-5737	37	23	scheme	scheme	NOUN
ejpam-5737	37	24	.	.	PUNCT
ejpam-5737	38	1	almohaimeed	almohaimeed	VERB
ejpam-5737	38	2	[	[	X
ejpam-5737	38	3	10	10	NUM
ejpam-5737	38	4	]	]	PUNCT
ejpam-5737	38	5	derived	derive	VERB
ejpam-5737	38	6	an	an	DET
ejpam-5737	38	7	exact	exact	ADJ
ejpam-5737	38	8	expression	expression	NOUN
ejpam-5737	38	9	for	for	ADP
ejpam-5737	38	10	entropy	entropy	NOUN
ejpam-5737	38	11	information	information	NOUN
ejpam-5737	38	12	within	within	ADP
ejpam-5737	38	13	both	both	DET
ejpam-5737	38	14	types	type	NOUN
ejpam-5737	38	15	of	of	ADP
ejpam-5737	38	16	progressively	progressively	ADV
ejpam-5737	38	17	hybrid	hybrid	ADJ
ejpam-5737	38	18	censored	censored	ADJ
ejpam-5737	38	19	data	datum	NOUN
ejpam-5737	38	20	,	,	PUNCT
ejpam-5737	38	21	applying	apply	VERB
ejpam-5737	38	22	it	it	PRON
ejpam-5737	38	23	to	to	ADP
ejpam-5737	38	24	the	the	DET
ejpam-5737	38	25	exponential	exponential	ADJ
ejpam-5737	38	26	distribution	distribution	NOUN
ejpam-5737	38	27	.	.	PUNCT
ejpam-5737	39	1	chacko	chacko	NOUN
ejpam-5737	39	2	and	and	CCONJ
ejpam-5737	39	3	asha	asha	PROPN
ejpam-5737	40	1	[	[	X
ejpam-5737	40	2	11	11	NUM
ejpam-5737	40	3	]	]	PUNCT
ejpam-5737	40	4	explored	explore	VERB
ejpam-5737	40	5	entropy	entropy	NOUN
ejpam-5737	40	6	estimation	estimation	NOUN
ejpam-5737	40	7	for	for	ADP
ejpam-5737	40	8	the	the	DET
ejpam-5737	40	9	generalized	generalize	VERB
ejpam-5737	40	10	exponential	exponential	ADJ
ejpam-5737	40	11	distribution	distribution	NOUN
ejpam-5737	40	12	using	use	VERB
ejpam-5737	40	13	record	record	NOUN
ejpam-5737	40	14	values	value	NOUN
ejpam-5737	40	15	.	.	PUNCT
ejpam-5737	41	1	hassan	hassan	PROPN
ejpam-5737	41	2	and	and	CCONJ
ejpam-5737	41	3	zaky	zaky	PROPN
ejpam-5737	41	4	[	[	X
ejpam-5737	41	5	12	12	NUM
ejpam-5737	41	6	]	]	PUNCT
ejpam-5737	41	7	focused	focus	VERB
ejpam-5737	41	8	on	on	ADP
ejpam-5737	41	9	obtaining	obtain	VERB
ejpam-5737	41	10	the	the	DET
ejpam-5737	41	11	maximum	maximum	ADJ
ejpam-5737	41	12	likelihood	likelihood	NOUN
ejpam-5737	41	13	estimator	estimator	NOUN
ejpam-5737	41	14	of	of	ADP
ejpam-5737	41	15	shannon	shannon	PROPN
ejpam-5737	41	16	entropy	entropy	PROPN
ejpam-5737	41	17	for	for	ADP
ejpam-5737	41	18	the	the	DET
ejpam-5737	41	19	inverse	inverse	ADJ
ejpam-5737	41	20	weibull	weibull	NOUN
ejpam-5737	41	21	distribution	distribution	NOUN
ejpam-5737	41	22	using	use	VERB
ejpam-5737	41	23	multiple	multiple	ADJ
ejpam-5737	41	24	censored	censored	ADJ
ejpam-5737	41	25	data	datum	NOUN
ejpam-5737	41	26	.	.	PUNCT
ejpam-5737	42	1	wang	wang	PROPN
ejpam-5737	42	2	and	and	CCONJ
ejpam-5737	42	3	gui	gui	NOUN
ejpam-5737	43	1	[	[	X
ejpam-5737	43	2	13	13	NUM
ejpam-5737	43	3	]	]	PUNCT
ejpam-5737	43	4	examined	examine	VERB
ejpam-5737	43	5	certain	certain	ADJ
ejpam-5737	43	6	entropy	entropy	NOUN
ejpam-5737	43	7	inferences	inference	NOUN
ejpam-5737	43	8	based	base	VERB
ejpam-5737	43	9	on	on	ADP
ejpam-5737	43	10	type	type	NOUN
ejpam-5737	43	11	-	-	PUNCT
ejpam-5737	43	12	ii	ii	NOUN
ejpam-5737	43	13	progressive	progressive	NOUN
ejpam-5737	43	14	for	for	ADP
ejpam-5737	43	15	burr	burr	NOUN
ejpam-5737	43	16	type	type	NOUN
ejpam-5737	43	17	-	-	PUNCT
ejpam-5737	43	18	xi	xi	NOUN
ejpam-5737	43	19	distribution	distribution	NOUN
ejpam-5737	43	20	.	.	PUNCT
ejpam-5737	44	1	the	the	DET
ejpam-5737	44	2	ideal	ideal	ADJ
ejpam-5737	44	3	method	method	NOUN
ejpam-5737	44	4	for	for	ADP
ejpam-5737	44	5	gathering	gather	VERB
ejpam-5737	44	6	data	datum	NOUN
ejpam-5737	44	7	depends	depend	VERB
ejpam-5737	44	8	on	on	ADP
ejpam-5737	44	9	the	the	DET
ejpam-5737	44	10	test	test	NOUN
ejpam-5737	44	11	’s	’s	PART
ejpam-5737	44	12	cost	cost	NOUN
ejpam-5737	44	13	and	and	CCONJ
ejpam-5737	44	14	duration	duration	NOUN
ejpam-5737	44	15	.	.	PUNCT
ejpam-5737	45	1	common	common	ADJ
ejpam-5737	45	2	and	and	CCONJ
ejpam-5737	45	3	basic	basic	ADJ
ejpam-5737	45	4	filtering	filtering	ADJ
ejpam-5737	45	5	methods	method	NOUN
ejpam-5737	45	6	are	be	AUX
ejpam-5737	45	7	referred	refer	VERB
ejpam-5737	45	8	to	to	ADP
ejpam-5737	45	9	in	in	ADP
ejpam-5737	45	10	the	the	DET
ejpam-5737	45	11	literature	literature	NOUN
ejpam-5737	45	12	as	as	ADP
ejpam-5737	45	13	censoring	censor	VERB
ejpam-5737	45	14	schemes	scheme	NOUN
ejpam-5737	45	15	(	(	PUNCT
ejpam-5737	45	16	css	css	NOUN
ejpam-5737	45	17	)	)	PUNCT
ejpam-5737	45	18	of	of	ADP
ejpam-5737	45	19	type	type	NOUN
ejpam-5737	45	20	-	-	PUNCT
ejpam-5737	45	21	i	i	NOUN
ejpam-5737	45	22	and	and	CCONJ
ejpam-5737	45	23	type	type	NOUN
ejpam-5737	45	24	-	-	PUNCT
ejpam-5737	45	25	ii	ii	NOUN
ejpam-5737	45	26	.	.	PUNCT
ejpam-5737	46	1	the	the	DET
ejpam-5737	46	2	test	test	NOUN
ejpam-5737	46	3	duration	duration	NOUN
ejpam-5737	46	4	is	be	AUX
ejpam-5737	46	5	suggested	suggest	VERB
ejpam-5737	46	6	under	under	ADP
ejpam-5737	46	7	type	type	NOUN
ejpam-5737	46	8	-	-	PUNCT
ejpam-5737	46	9	i	i	PRON
ejpam-5737	46	10	cs	cs	NOUN
ejpam-5737	46	11	,	,	PUNCT
ejpam-5737	46	12	however	however	ADV
ejpam-5737	46	13	,	,	PUNCT
ejpam-5737	46	14	there	there	PRON
ejpam-5737	46	15	are	be	VERB
ejpam-5737	46	16	an	an	DET
ejpam-5737	46	17	arbitrary	arbitrary	ADJ
ejpam-5737	46	18	number	number	NOUN
ejpam-5737	46	19	of	of	ADP
ejpam-5737	46	20	failures	failure	NOUN
ejpam-5737	46	21	r	r	NOUN
ejpam-5737	46	22	,	,	PUNCT
ejpam-5737	46	23	0	0	PUNCT
ejpam-5737	46	24	<	<	X
ejpam-5737	46	25	r	r	X
ejpam-5737	46	26	<	<	X
ejpam-5737	46	27	n	n	CCONJ
ejpam-5737	46	28	,	,	PUNCT
ejpam-5737	46	29	but	but	CCONJ
ejpam-5737	46	30	the	the	DET
ejpam-5737	46	31	test	test	NOUN
ejpam-5737	46	32	time	time	NOUN
ejpam-5737	46	33	is	be	AUX
ejpam-5737	46	34	random	random	ADJ
ejpam-5737	46	35	.	.	PUNCT
ejpam-5737	47	1	however	however	ADV
ejpam-5737	47	2	,	,	PUNCT
ejpam-5737	47	3	the	the	DET
ejpam-5737	47	4	test	test	NOUN
ejpam-5737	47	5	time	time	NOUN
ejpam-5737	47	6	t	t	PROPN
ejpam-5737	47	7	in	in	ADP
ejpam-5737	47	8	the	the	DET
ejpam-5737	47	9	type	type	NOUN
ejpam-5737	47	10	-	-	PUNCT
ejpam-5737	47	11	ii	ii	NOUN
ejpam-5737	47	12	cs	cs	PROPN
ejpam-5737	47	13	is	be	AUX
ejpam-5737	47	14	arbitrary	arbitrary	ADJ
ejpam-5737	47	15	and	and	CCONJ
ejpam-5737	47	16	might	might	AUX
ejpam-5737	47	17	be	be	AUX
ejpam-5737	47	18	t	t	PROPN
ejpam-5737	47	19	→	→	SYM
ejpam-5737	47	20	∞.	∞.	PROPN
ejpam-5737	47	21	nevertheless	nevertheless	ADV
ejpam-5737	47	22	,	,	PUNCT
ejpam-5737	47	23	the	the	DET
ejpam-5737	47	24	removal	removal	NOUN
ejpam-5737	47	25	of	of	ADP
ejpam-5737	47	26	units	unit	NOUN
ejpam-5737	47	27	at	at	ADP
ejpam-5737	47	28	locations	location	NOUN
ejpam-5737	47	29	other	other	ADJ
ejpam-5737	47	30	than	than	ADP
ejpam-5737	47	31	the	the	DET
ejpam-5737	47	32	experiment	experiment	NOUN
ejpam-5737	47	33	’s	’s	PART
ejpam-5737	47	34	termination	termination	NOUN
ejpam-5737	47	35	point	point	NOUN
ejpam-5737	47	36	is	be	AUX
ejpam-5737	47	37	not	not	PART
ejpam-5737	47	38	flexible	flexible	ADJ
ejpam-5737	47	39	enough	enough	ADV
ejpam-5737	47	40	to	to	PART
ejpam-5737	47	41	be	be	AUX
ejpam-5737	47	42	permitted	permit	VERB
ejpam-5737	47	43	by	by	ADP
ejpam-5737	47	44	the	the	DET
ejpam-5737	47	45	traditional	traditional	ADJ
ejpam-5737	47	46	type	type	NOUN
ejpam-5737	47	47	-	-	PUNCT
ejpam-5737	47	48	i	i	NOUN
ejpam-5737	47	49	and	and	CCONJ
ejpam-5737	47	50	type	type	NOUN
ejpam-5737	47	51	-	-	PUNCT
ejpam-5737	47	52	ii	ii	NOUN
ejpam-5737	47	53	censoring	censor	VERB
ejpam-5737	47	54	procedures	procedure	NOUN
ejpam-5737	47	55	.	.	PUNCT
ejpam-5737	48	1	one	one	NUM
ejpam-5737	48	2	of	of	ADP
ejpam-5737	48	3	the	the	DET
ejpam-5737	48	4	more	more	ADV
ejpam-5737	48	5	general	general	ADJ
ejpam-5737	48	6	filtering	filtering	NOUN
ejpam-5737	48	7	techniques	technique	NOUN
ejpam-5737	48	8	known	know	VERB
ejpam-5737	48	9	as	as	ADP
ejpam-5737	48	10	progressive	progressive	ADJ
ejpam-5737	48	11	css	css	PROPN
ejpam-5737	48	12	that	that	PRON
ejpam-5737	48	13	were	be	AUX
ejpam-5737	48	14	developed	develop	VERB
ejpam-5737	48	15	as	as	ADP
ejpam-5737	48	16	a	a	DET
ejpam-5737	48	17	result	result	NOUN
ejpam-5737	48	18	of	of	ADP
ejpam-5737	48	19	a	a	DET
ejpam-5737	48	20	consequence	consequence	NOUN
ejpam-5737	48	21	of	of	ADP
ejpam-5737	48	22	this	this	DET
ejpam-5737	48	23	inflexibility	inflexibility	NOUN
ejpam-5737	48	24	is	be	AUX
ejpam-5737	48	25	the	the	DET
ejpam-5737	48	26	development	development	NOUN
ejpam-5737	48	27	of	of	ADP
ejpam-5737	48	28	the	the	DET
ejpam-5737	48	29	progressive	progressive	ADJ
ejpam-5737	48	30	type	type	NOUN
ejpam-5737	48	31	-	-	PUNCT
ejpam-5737	48	32	ii	ii	NOUN
ejpam-5737	48	33	censoring	censor	VERB
ejpam-5737	48	34	scheme	scheme	NOUN
ejpam-5737	48	35	.	.	PUNCT
ejpam-5737	49	1	refer	refer	VERB
ejpam-5737	49	2	to	to	ADP
ejpam-5737	49	3	balakrishnan	balakrishnan	PROPN
ejpam-5737	49	4	and	and	CCONJ
ejpam-5737	49	5	aggarwala	aggarwala	VERB
ejpam-5737	49	6	[	[	X
ejpam-5737	49	7	14	14	NUM
ejpam-5737	49	8	]	]	PUNCT
ejpam-5737	49	9	.	.	PUNCT
ejpam-5737	50	1	the	the	DET
ejpam-5737	50	2	progressive	progressive	ADJ
ejpam-5737	50	3	type	type	NOUN
ejpam-5737	50	4	-	-	PUNCT
ejpam-5737	50	5	ii	ii	NOUN
ejpam-5737	50	6	censoring	censor	VERB
ejpam-5737	50	7	model	model	NOUN
ejpam-5737	50	8	’s	’s	PART
ejpam-5737	50	9	operation	operation	NOUN
ejpam-5737	50	10	is	be	AUX
ejpam-5737	50	11	demonstrated	demonstrate	VERB
ejpam-5737	50	12	in	in	ADP
ejpam-5737	50	13	the	the	DET
ejpam-5737	50	14	following	following	NOUN
ejpam-5737	50	15	.	.	PUNCT
ejpam-5737	51	1	for	for	ADP
ejpam-5737	51	2	each	each	PRON
ejpam-5737	51	3	of	of	ADP
ejpam-5737	51	4	the	the	DET
ejpam-5737	51	5	n	n	NOUN
ejpam-5737	51	6	devices	device	NOUN
ejpam-5737	51	7	that	that	PRON
ejpam-5737	51	8	undergo	undergo	VERB
ejpam-5737	51	9	a	a	DET
ejpam-5737	51	10	life	life	NOUN
ejpam-5737	51	11	test	test	NOUN
ejpam-5737	51	12	,	,	PUNCT
ejpam-5737	51	13	write	write	VERB
ejpam-5737	51	14	x1	x1	PROPN
ejpam-5737	51	15	,	,	PUNCT
ejpam-5737	51	16	x2	x2	PROPN
ejpam-5737	51	17	,	,	PUNCT
ejpam-5737	51	18	...	...	PUNCT
ejpam-5737	51	19	,	,	PUNCT
ejpam-5737	51	20	xn	xn	PROPN
ejpam-5737	51	21	as	as	ADP
ejpam-5737	51	22	its	its	PRON
ejpam-5737	51	23	corresponding	corresponding	ADJ
ejpam-5737	51	24	lifetime	lifetime	NOUN
ejpam-5737	51	25	.	.	PUNCT
ejpam-5737	52	1	the	the	DET
ejpam-5737	52	2	progressive	progressive	ADJ
ejpam-5737	52	3	type	type	NOUN
ejpam-5737	52	4	-	-	PUNCT
ejpam-5737	52	5	ii	ii	NOUN
ejpam-5737	52	6	censoring	censor	VERB
ejpam-5737	52	7	scheme	scheme	NOUN
ejpam-5737	52	8	r	r	NOUN
ejpam-5737	52	9	=	=	SYM
ejpam-5737	52	10	r1	r1	NOUN
ejpam-5737	52	11	,	,	PUNCT
ejpam-5737	52	12	r2	r2	PROPN
ejpam-5737	52	13	,	,	PUNCT
ejpam-5737	52	14	...	...	PUNCT
ejpam-5737	52	15	,	,	PUNCT
ejpam-5737	52	16	rr	rr	NOUN
ejpam-5737	52	17	,	,	PUNCT
ejpam-5737	52	18	and	and	CCONJ
ejpam-5737	52	19	the	the	DET
ejpam-5737	52	20	number	number	NOUN
ejpam-5737	52	21	of	of	ADP
ejpam-5737	52	22	units	unit	NOUN
ejpam-5737	52	23	observed	observe	VERB
ejpam-5737	52	24	r	r	NOUN
ejpam-5737	52	25	(	(	PUNCT
ejpam-5737	52	26	r	r	NOUN
ejpam-5737	52	27	<	<	X
ejpam-5737	52	28	n	n	CCONJ
ejpam-5737	52	29	)	)	PUNCT
ejpam-5737	52	30	are	be	AUX
ejpam-5737	52	31	determined	determine	VERB
ejpam-5737	52	32	before	before	ADP
ejpam-5737	52	33	the	the	DET
ejpam-5737	52	34	experiment	experiment	NOUN
ejpam-5737	52	35	0	0	NUM
ejpam-5737	52	36	<	<	X
ejpam-5737	52	37	ri	ri	PROPN
ejpam-5737	52	38	,	,	PUNCT
ejpam-5737	52	39	i	i	PRON
ejpam-5737	52	40	=	=	NOUN
ejpam-5737	52	41	1	1	NUM
ejpam-5737	52	42	,	,	PUNCT
ejpam-5737	52	43	2	2	NUM
ejpam-5737	52	44	,	,	PUNCT
ejpam-5737	52	45	...	...	PUNCT
ejpam-5737	52	46	,	,	PUNCT
ejpam-5737	52	47	r	r	NOUN
ejpam-5737	52	48	and	and	CCONJ
ejpam-5737	52	49	n	n	NOUN
ejpam-5737	53	1	=	=	SYM
ejpam-5737	53	2	r	r	NOUN
ejpam-5737	53	3	+	+	NUM
ejpam-5737	53	4	∑r−1	∑r−1	ADJ
ejpam-5737	53	5	i=1	i=1	PROPN
ejpam-5737	53	6	ri	ri	PROPN
ejpam-5737	53	7	.	.	PUNCT
ejpam-5737	54	1	the	the	DET
ejpam-5737	54	2	remaining	remain	VERB
ejpam-5737	54	3	ri	ri	PROPN
ejpam-5737	54	4	units	unit	NOUN
ejpam-5737	54	5	are	be	AUX
ejpam-5737	54	6	arbitrarily	arbitrarily	ADV
ejpam-5737	54	7	removed	remove	VERB
ejpam-5737	54	8	from	from	ADP
ejpam-5737	54	9	the	the	DET
ejpam-5737	54	10	experiment	experiment	NOUN
ejpam-5737	54	11	once	once	SCONJ
ejpam-5737	54	12	the	the	DET
ejpam-5737	54	13	ith	ith	NOUN
ejpam-5737	54	14	failure	failure	NOUN
ejpam-5737	54	15	has	have	AUX
ejpam-5737	54	16	been	be	AUX
ejpam-5737	54	17	located	locate	VERB
ejpam-5737	54	18	.	.	PUNCT
ejpam-5737	55	1	the	the	DET
ejpam-5737	55	2	experiment	experiment	NOUN
ejpam-5737	55	3	will	will	AUX
ejpam-5737	55	4	continue	continue	VERB
ejpam-5737	55	5	as	as	ADV
ejpam-5737	55	6	long	long	ADV
ejpam-5737	55	7	as	as	SCONJ
ejpam-5737	55	8	this	this	DET
ejpam-5737	55	9	guideline	guideline	NOUN
ejpam-5737	55	10	is	be	AUX
ejpam-5737	55	11	adhered	adhere	VERB
ejpam-5737	55	12	to	to	ADP
ejpam-5737	55	13	,	,	PUNCT
ejpam-5737	55	14	ending	end	VERB
ejpam-5737	55	15	when	when	SCONJ
ejpam-5737	55	16	failures	failure	NOUN
ejpam-5737	55	17	are	be	AUX
ejpam-5737	55	18	identified	identify	VERB
ejpam-5737	55	19	.	.	PUNCT
ejpam-5737	56	1	consequently	consequently	ADV
ejpam-5737	56	2	,	,	PUNCT
ejpam-5737	56	3	xi	xi	PROPN
ejpam-5737	56	4	:	:	PUNCT
ejpam-5737	56	5	r	r	NOUN
ejpam-5737	56	6	:	:	PUNCT
ejpam-5737	56	7	n	n	CCONJ
ejpam-5737	56	8	,	,	PUNCT
ejpam-5737	56	9	i	i	PRON
ejpam-5737	56	10	=	=	NOUN
ejpam-5737	56	11	1	1	NUM
ejpam-5737	56	12	,	,	PUNCT
ejpam-5737	56	13	2	2	NUM
ejpam-5737	56	14	,	,	PUNCT
ejpam-5737	56	15	....	....	PUNCT
ejpam-5737	56	16	,	,	PUNCT
ejpam-5737	56	17	r	r	NOUN
ejpam-5737	56	18	are	be	AUX
ejpam-5737	56	19	the	the	DET
ejpam-5737	56	20	type	type	NOUN
ejpam-5737	56	21	-	-	PUNCT
ejpam-5737	56	22	ii	ii	NOUN
ejpam-5737	56	23	progressive	progressive	ADJ
ejpam-5737	56	24	right	right	NOUN
ejpam-5737	56	25	censoring	censor	VERB
ejpam-5737	56	26	’s	’s	PART
ejpam-5737	56	27	observed	observe	VERB
ejpam-5737	56	28	statistics	statistic	NOUN
ejpam-5737	56	29	.	.	PUNCT
ejpam-5737	57	1	ng	ng	PROPN
ejpam-5737	57	2	et	et	PROPN
ejpam-5737	57	3	al	al	PROPN
ejpam-5737	57	4	.	.	PUNCT
ejpam-5737	58	1	[	[	X
ejpam-5737	58	2	15	15	NUM
ejpam-5737	58	3	]	]	X
ejpam-5737	58	4	propose	propose	VERB
ejpam-5737	58	5	an	an	DET
ejpam-5737	58	6	adaptive	adaptive	ADJ
ejpam-5737	58	7	typeii	typeii	NOUN
ejpam-5737	58	8	progressive	progressive	NOUN
ejpam-5737	58	9	censoring	censor	VERB
ejpam-5737	58	10	to	to	PART
ejpam-5737	58	11	shorten	shorten	VERB
ejpam-5737	58	12	the	the	DET
ejpam-5737	58	13	test	test	NOUN
ejpam-5737	58	14	duration	duration	NOUN
ejpam-5737	58	15	overall	overall	ADJ
ejpam-5737	58	16	and	and	CCONJ
ejpam-5737	58	17	increase	increase	VERB
ejpam-5737	58	18	the	the	DET
ejpam-5737	58	19	efficacy	efficacy	NOUN
ejpam-5737	58	20	of	of	ADP
ejpam-5737	58	21	statistical	statistical	ADJ
ejpam-5737	58	22	inference	inference	NOUN
ejpam-5737	58	23	.	.	PUNCT
ejpam-5737	59	1	here	here	ADV
ejpam-5737	59	2	’s	’	VERB
ejpam-5737	59	3	how	how	SCONJ
ejpam-5737	59	4	this	this	DET
ejpam-5737	59	5	plan	plan	NOUN
ejpam-5737	59	6	works	work	VERB
ejpam-5737	59	7	:	:	PUNCT
ejpam-5737	59	8	think	think	VERB
ejpam-5737	59	9	about	about	ADP
ejpam-5737	59	10	conducting	conduct	VERB
ejpam-5737	59	11	a	a	DET
ejpam-5737	59	12	life	life	NOUN
ejpam-5737	59	13	test	test	NOUN
ejpam-5737	59	14	on	on	ADP
ejpam-5737	59	15	n	n	PRON
ejpam-5737	59	16	identical	identical	ADJ
ejpam-5737	59	17	units	unit	NOUN
ejpam-5737	59	18	.	.	PUNCT
ejpam-5737	60	1	the	the	DET
ejpam-5737	60	2	observed	observed	ADJ
ejpam-5737	60	3	number	number	NOUN
ejpam-5737	60	4	of	of	ADP
ejpam-5737	60	5	failures	failure	NOUN
ejpam-5737	60	6	r	r	NOUN
ejpam-5737	60	7	(	(	PUNCT
ejpam-5737	60	8	r	r	NOUN
ejpam-5737	60	9	<	<	X
ejpam-5737	60	10	n	n	CCONJ
ejpam-5737	60	11	)	)	PUNCT
ejpam-5737	60	12	is	be	AUX
ejpam-5737	60	13	predetermined	predetermine	VERB
ejpam-5737	60	14	,	,	PUNCT
ejpam-5737	60	15	and	and	CCONJ
ejpam-5737	60	16	the	the	DET
ejpam-5737	60	17	test	test	NOUN
ejpam-5737	60	18	length	length	NOUN
ejpam-5737	60	19	is	be	AUX
ejpam-5737	60	20	permitted	permit	VERB
ejpam-5737	60	21	to	to	PART
ejpam-5737	60	22	exceed	exceed	VERB
ejpam-5737	60	23	the	the	DET
ejpam-5737	60	24	predefined	predefine	VERB
ejpam-5737	60	25	period	period	NOUN
ejpam-5737	60	26	t	t	NOUN
ejpam-5737	60	27	.	.	PUNCT
ejpam-5737	61	1	the	the	DET
ejpam-5737	61	2	description	description	NOUN
ejpam-5737	61	3	of	of	ADP
ejpam-5737	61	4	the	the	DET
ejpam-5737	61	5	progressive	progressive	ADJ
ejpam-5737	61	6	censorship	censorship	NOUN
ejpam-5737	61	7	r	r	NOUN
ejpam-5737	61	8	is	be	AUX
ejpam-5737	61	9	eliminated	eliminate	VERB
ejpam-5737	61	10	from	from	ADP
ejpam-5737	61	11	the	the	DET
ejpam-5737	61	12	test	test	NOUN
ejpam-5737	61	13	once	once	SCONJ
ejpam-5737	61	14	the	the	DET
ejpam-5737	61	15	ith	ith	NOUN
ejpam-5737	61	16	failure	failure	NOUN
ejpam-5737	61	17	is	be	AUX
ejpam-5737	61	18	observed	observe	VERB
ejpam-5737	61	19	during	during	ADP
ejpam-5737	61	20	the	the	DET
ejpam-5737	61	21	life	life	NOUN
ejpam-5737	61	22	s.	s.	PROPN
ejpam-5737	61	23	m.	m.	PROPN
ejpam-5737	61	24	ahmed	ahmed	PROPN
ejpam-5737	61	25	,	,	PUNCT
ejpam-5737	61	26	g.	g.	PROPN
ejpam-5737	61	27	m.	m.	PROPN
ejpam-5737	61	28	ismail	ismail	PROPN
ejpam-5737	61	29	/	/	SYM
ejpam-5737	61	30	eur	eur	PROPN
ejpam-5737	61	31	.	.	PUNCT
ejpam-5737	62	1	j.	j.	PROPN
ejpam-5737	62	2	pure	pure	PROPN
ejpam-5737	62	3	appl	appl	PROPN
ejpam-5737	62	4	.	.	PROPN
ejpam-5737	62	5	math	math	PROPN
ejpam-5737	62	6	,	,	PUNCT
ejpam-5737	62	7	18	18	NUM
ejpam-5737	62	8	(	(	PUNCT
ejpam-5737	62	9	1	1	NUM
ejpam-5737	62	10	)	)	PUNCT
ejpam-5737	62	11	(	(	PUNCT
ejpam-5737	62	12	2025	2025	NUM
ejpam-5737	62	13	)	)	PUNCT
ejpam-5737	62	14	,	,	PUNCT
ejpam-5737	62	15	5737	5737	NUM
ejpam-5737	62	16	3	3	NUM
ejpam-5737	62	17	of	of	ADP
ejpam-5737	62	18	22	22	NUM
ejpam-5737	62	19	test	test	NOUN
ejpam-5737	62	20	.	.	PUNCT
ejpam-5737	63	1	the	the	DET
ejpam-5737	63	2	r	r	NOUN
ejpam-5737	63	3	fully	fully	ADV
ejpam-5737	63	4	observed	observe	VERB
ejpam-5737	63	5	lifetimes	lifetime	NOUN
ejpam-5737	63	6	are	be	AUX
ejpam-5737	63	7	represented	represent	VERB
ejpam-5737	63	8	by	by	ADP
ejpam-5737	63	9	the	the	DET
ejpam-5737	63	10	notation	notation	NOUN
ejpam-5737	63	11	xi	xi	PROPN
ejpam-5737	63	12	:	:	PUNCT
ejpam-5737	63	13	r	r	NOUN
ejpam-5737	63	14	:	:	PUNCT
ejpam-5737	63	15	n	n	CCONJ
ejpam-5737	63	16	,	,	PUNCT
ejpam-5737	63	17	i	i	PRON
ejpam-5737	63	18	=	=	NOUN
ejpam-5737	63	19	1	1	NUM
ejpam-5737	63	20	,	,	PUNCT
ejpam-5737	63	21	2	2	NUM
ejpam-5737	63	22	,	,	PUNCT
ejpam-5737	63	23	....	....	PUNCT
ejpam-5737	63	24	,	,	PUNCT
ejpam-5737	63	25	r.	r.	PROPN
ejpam-5737	63	26	if	if	SCONJ
ejpam-5737	63	27	the	the	DET
ejpam-5737	63	28	rth	rth	NOUN
ejpam-5737	63	29	failure	failure	NOUN
ejpam-5737	63	30	time	time	NOUN
ejpam-5737	63	31	occurs	occur	VERB
ejpam-5737	63	32	before	before	ADP
ejpam-5737	63	33	time	time	NOUN
ejpam-5737	63	34	t	t	PROPN
ejpam-5737	63	35	(	(	PUNCT
ejpam-5737	63	36	i.e.	i.e.	X
ejpam-5737	63	37	xi	xi	ADJ
ejpam-5737	63	38	:	:	PUNCT
ejpam-5737	63	39	r	r	NOUN
ejpam-5737	63	40	:	:	PUNCT
ejpam-5737	63	41	r	r	NOUN
ejpam-5737	63	42	<	<	X
ejpam-5737	63	43	t	t	PROPN
ejpam-5737	63	44	)	)	PUNCT
ejpam-5737	63	45	,	,	PUNCT
ejpam-5737	63	46	the	the	DET
ejpam-5737	63	47	test	test	NOUN
ejpam-5737	63	48	ends	end	VERB
ejpam-5737	63	49	at	at	ADP
ejpam-5737	63	50	time	time	NOUN
ejpam-5737	63	51	xi	xi	NOUN
ejpam-5737	63	52	:	:	PUNCT
ejpam-5737	63	53	r	r	NOUN
ejpam-5737	63	54	:	:	PUNCT
ejpam-5737	63	55	n	n	ADP
ejpam-5737	63	56	using	use	VERB
ejpam-5737	63	57	the	the	DET
ejpam-5737	63	58	same	same	ADJ
ejpam-5737	63	59	progressive	progressive	ADJ
ejpam-5737	63	60	censoring	censor	VERB
ejpam-5737	63	61	technique	technique	NOUN
ejpam-5737	63	62	(	(	PUNCT
ejpam-5737	63	63	r1	r1	NOUN
ejpam-5737	63	64	,	,	PUNCT
ejpam-5737	63	65	r2	r2	PROPN
ejpam-5737	63	66	,	,	PUNCT
ejpam-5737	63	67	...	...	PUNCT
ejpam-5737	63	68	,	,	PUNCT
ejpam-5737	63	69	rr	rr	PROPN
ejpam-5737	63	70	)	)	PUNCT
ejpam-5737	63	71	.	.	PUNCT
ejpam-5737	64	1	in	in	ADP
ejpam-5737	64	2	this	this	DET
ejpam-5737	64	3	case	case	NOUN
ejpam-5737	64	4	,	,	PUNCT
ejpam-5737	64	5	rr	rr	NOUN
ejpam-5737	64	6	=	=	SYM
ejpam-5737	64	7	n	n	PROPN
ejpam-5737	64	8	−r	−r	ADJ
ejpam-5737	65	1	−	−	PROPN
ejpam-5737	65	2	∑r−1	∑r−1	PROPN
ejpam-5737	66	1	i=1	i=1	PROPN
ejpam-5737	66	2	ri	ri	PROPN
ejpam-5737	66	3	.	.	PUNCT
ejpam-5737	67	1	if	if	SCONJ
ejpam-5737	67	2	jth	jth	PROPN
ejpam-5737	67	3	failure	failure	NOUN
ejpam-5737	67	4	time	time	NOUN
ejpam-5737	67	5	happens	happen	VERB
ejpam-5737	67	6	before	before	ADP
ejpam-5737	67	7	time	time	NOUN
ejpam-5737	67	8	t	t	PROPN
ejpam-5737	67	9	,	,	PUNCT
ejpam-5737	67	10	i.e.	i.e.	X
ejpam-5737	67	11	,	,	PUNCT
ejpam-5737	67	12	xj	xj	PROPN
ejpam-5737	67	13	:	:	PUNCT
ejpam-5737	67	14	r	r	X
ejpam-5737	67	15	:	:	PUNCT
ejpam-5737	67	16	r	r	NOUN
ejpam-5737	67	17	<	<	X
ejpam-5737	67	18	t	t	X
ejpam-5737	67	19	<	<	X
ejpam-5737	67	20	xj+1	xj+1	NUM
ejpam-5737	67	21	:	:	PUNCT
ejpam-5737	67	22	r	r	NOUN
ejpam-5737	67	23	:	:	PUNCT
ejpam-5737	67	24	r	r	NOUN
ejpam-5737	67	25	,	,	PUNCT
ejpam-5737	67	26	(	(	PUNCT
ejpam-5737	67	27	1	1	NUM
ejpam-5737	67	28	<	<	X
ejpam-5737	67	29	j	j	X
ejpam-5737	67	30	<	<	X
ejpam-5737	67	31	r−1	r−1	PROPN
ejpam-5737	67	32	)	)	PUNCT
ejpam-5737	67	33	.	.	PUNCT
ejpam-5737	68	1	in	in	ADP
ejpam-5737	68	2	the	the	DET
ejpam-5737	68	3	case	case	NOUN
ejpam-5737	68	4	of	of	ADP
ejpam-5737	68	5	failures	failure	NOUN
ejpam-5737	68	6	,	,	PUNCT
ejpam-5737	68	7	the	the	DET
ejpam-5737	68	8	number	number	NOUN
ejpam-5737	68	9	of	of	ADP
ejpam-5737	68	10	units	unit	NOUN
ejpam-5737	68	11	progressively	progressively	ADV
ejpam-5737	68	12	removed	remove	VERB
ejpam-5737	68	13	from	from	ADP
ejpam-5737	68	14	the	the	DET
ejpam-5737	68	15	test	test	NOUN
ejpam-5737	68	16	is	be	AUX
ejpam-5737	68	17	then	then	ADV
ejpam-5737	68	18	modified	modify	VERB
ejpam-5737	68	19	by	by	ADP
ejpam-5737	68	20	setting	set	VERB
ejpam-5737	68	21	rj+1	rj+1	NOUN
ejpam-5737	68	22	=	=	SYM
ejpam-5737	68	23	rj+2	rj+2	PROPN
ejpam-5737	68	24	=	=	PUNCT
ejpam-5737	68	25	...	...	PUNCT
ejpam-5737	69	1	=	=	PUNCT
ejpam-5737	69	2	rr−1	rr−1	PROPN
ejpam-5737	69	3	=	=	SYM
ejpam-5737	69	4	0	0	X
ejpam-5737	69	5	.	.	PUNCT
ejpam-5737	70	1	at	at	ADP
ejpam-5737	70	2	time	time	NOUN
ejpam-5737	70	3	rr	rr	PROPN
ejpam-5737	70	4	,	,	PUNCT
ejpam-5737	70	5	any	any	DET
ejpam-5737	70	6	leftover	leftover	NOUN
ejpam-5737	70	7	units	unit	NOUN
ejpam-5737	70	8	rr	rr	VERB
ejpam-5737	70	9	are	be	AUX
ejpam-5737	70	10	then	then	ADV
ejpam-5737	70	11	eliminated	eliminate	VERB
ejpam-5737	70	12	,	,	PUNCT
ejpam-5737	70	13	where	where	SCONJ
ejpam-5737	70	14	rr	rr	NOUN
ejpam-5737	70	15	=	=	ADJ
ejpam-5737	70	16	n−r	n−r	NOUN
ejpam-5737	70	17	−	−	PROPN
ejpam-5737	70	18	∑j	∑j	NOUN
ejpam-5737	70	19	i=1ri	i=1ri	NUM
ejpam-5737	70	20	.	.	PUNCT
ejpam-5737	71	1	thus	thus	ADV
ejpam-5737	71	2	,	,	PUNCT
ejpam-5737	71	3	the	the	DET
ejpam-5737	71	4	progressive	progressive	ADJ
ejpam-5737	71	5	censored	censored	ADJ
ejpam-5737	71	6	scheme	scheme	NOUN
ejpam-5737	71	7	that	that	PRON
ejpam-5737	71	8	performs	perform	VERB
ejpam-5737	71	9	best	well	ADV
ejpam-5737	71	10	in	in	ADP
ejpam-5737	71	11	this	this	DET
ejpam-5737	71	12	situation	situation	NOUN
ejpam-5737	71	13	is	be	AUX
ejpam-5737	71	14	(	(	PUNCT
ejpam-5737	71	15	r1	r1	PROPN
ejpam-5737	71	16	,	,	PUNCT
ejpam-5737	71	17	r2	r2	PROPN
ejpam-5737	71	18	,	,	PUNCT
ejpam-5737	71	19	...	...	PUNCT
ejpam-5737	71	20	,	,	PUNCT
ejpam-5737	71	21	rj	rj	PROPN
ejpam-5737	71	22	,	,	PUNCT
ejpam-5737	71	23	0	0	NUM
ejpam-5737	71	24	,	,	PUNCT
ejpam-5737	71	25	0	0	NUM
ejpam-5737	71	26	,	,	PUNCT
ejpam-5737	71	27	0	0	NUM
ejpam-5737	71	28	,	,	PUNCT
ejpam-5737	71	29	n	n	PRON
ejpam-5737	71	30	−r−	−r−	NOUN
ejpam-5737	71	31	∑j	∑j	NOUN
ejpam-5737	71	32	i=1ri	i=1ri	NUM
ejpam-5737	71	33	)	)	PUNCT
ejpam-5737	71	34	.	.	PUNCT
ejpam-5737	72	1	we	we	PRON
ejpam-5737	72	2	use	use	VERB
ejpam-5737	72	3	xi	xi	NOUN
ejpam-5737	72	4	in	in	ADP
ejpam-5737	72	5	this	this	DET
ejpam-5737	72	6	study	study	NOUN
ejpam-5737	72	7	rather	rather	ADV
ejpam-5737	72	8	than	than	ADP
ejpam-5737	72	9	xi	xi	ADP
ejpam-5737	72	10	:	:	PUNCT
ejpam-5737	72	11	r	r	NOUN
ejpam-5737	72	12	:	:	PUNCT
ejpam-5737	72	13	n	n	CCONJ
ejpam-5737	72	14	,	,	PUNCT
ejpam-5737	72	15	i	i	PRON
ejpam-5737	72	16	=	=	NOUN
ejpam-5737	72	17	1	1	NUM
ejpam-5737	72	18	,	,	PUNCT
ejpam-5737	72	19	2	2	NUM
ejpam-5737	72	20	,	,	PUNCT
ejpam-5737	72	21	...	...	PUNCT
ejpam-5737	72	22	,	,	PUNCT
ejpam-5737	72	23	r.	r.	PROPN
ejpam-5737	72	24	the	the	DET
ejpam-5737	72	25	observed	observe	VERB
ejpam-5737	72	26	data	datum	NOUN
ejpam-5737	72	27	under	under	ADP
ejpam-5737	72	28	-	-	PUNCT
ejpam-5737	72	29	considered	consider	VERB
ejpam-5737	72	30	censoring	censor	VERB
ejpam-5737	72	31	strategy	strategy	NOUN
ejpam-5737	72	32	may	may	AUX
ejpam-5737	72	33	be	be	AUX
ejpam-5737	72	34	represented	represent	VERB
ejpam-5737	72	35	by	by	ADP
ejpam-5737	72	36	one	one	NUM
ejpam-5737	72	37	of	of	ADP
ejpam-5737	72	38	the	the	DET
ejpam-5737	72	39	two	two	NUM
ejpam-5737	72	40	scenarios	scenario	NOUN
ejpam-5737	72	41	below	below	ADP
ejpam-5737	72	42	:	:	PUNCT
ejpam-5737	72	43	case	case	NOUN
ejpam-5737	72	44	1	1	NUM
ejpam-5737	72	45	:	:	PUNCT
ejpam-5737	72	46	(	(	PUNCT
ejpam-5737	72	47	x1	x1	PROPN
ejpam-5737	72	48	,	,	PUNCT
ejpam-5737	72	49	r1	r1	PROPN
ejpam-5737	72	50	)	)	PUNCT
ejpam-5737	72	51	,	,	PUNCT
ejpam-5737	72	52	(	(	PUNCT
ejpam-5737	72	53	x2	x2	PROPN
ejpam-5737	72	54	,	,	PUNCT
ejpam-5737	72	55	r2	r2	PROPN
ejpam-5737	72	56	)	)	PUNCT
ejpam-5737	72	57	,	,	PUNCT
ejpam-5737	72	58	...	...	PUNCT
ejpam-5737	72	59	,	,	PUNCT
ejpam-5737	72	60	(	(	PUNCT
ejpam-5737	72	61	xr	xr	PROPN
ejpam-5737	72	62	,	,	PUNCT
ejpam-5737	72	63	rr	rr	NOUN
ejpam-5737	72	64	)	)	PUNCT
ejpam-5737	72	65	,	,	PUNCT
ejpam-5737	72	66	if	if	SCONJ
ejpam-5737	72	67	xr	xr	PROPN
ejpam-5737	72	68	<	<	X
ejpam-5737	72	69	t	t	PROPN
ejpam-5737	72	70	,	,	PUNCT
ejpam-5737	72	71	where	where	SCONJ
ejpam-5737	72	72	rr	rr	AUX
ejpam-5737	72	73	=	=	SYM
ejpam-5737	72	74	n	n	PROPN
ejpam-5737	72	75	−r	−r	ADJ
ejpam-5737	72	76	−	−	NOUN
ejpam-5737	72	77	∑j−1	∑j−1	VERB
ejpam-5737	72	78	i=1	i=1	PROPN
ejpam-5737	72	79	ri	ri	PROPN
ejpam-5737	72	80	,	,	PUNCT
ejpam-5737	72	81	case	case	NOUN
ejpam-5737	72	82	2	2	NUM
ejpam-5737	72	83	:	:	PUNCT
ejpam-5737	72	84	(	(	PUNCT
ejpam-5737	72	85	x1	x1	PROPN
ejpam-5737	72	86	,	,	PUNCT
ejpam-5737	72	87	r1	r1	PROPN
ejpam-5737	72	88	)	)	PUNCT
ejpam-5737	72	89	,	,	PUNCT
ejpam-5737	72	90	(	(	PUNCT
ejpam-5737	72	91	x2	x2	PROPN
ejpam-5737	72	92	,	,	PUNCT
ejpam-5737	72	93	r2	r2	PROPN
ejpam-5737	72	94	)	)	PUNCT
ejpam-5737	72	95	,	,	PUNCT
ejpam-5737	72	96	...	...	PUNCT
ejpam-5737	72	97	,	,	PUNCT
ejpam-5737	72	98	(	(	PUNCT
ejpam-5737	72	99	xj	xj	PROPN
ejpam-5737	72	100	,	,	PUNCT
ejpam-5737	72	101	rj	rj	PROPN
ejpam-5737	72	102	)	)	PUNCT
ejpam-5737	72	103	,	,	PUNCT
ejpam-5737	72	104	(	(	PUNCT
ejpam-5737	72	105	xj+1	xj+1	X
ejpam-5737	72	106	,	,	PUNCT
ejpam-5737	72	107	0	0	NUM
ejpam-5737	72	108	)	)	PUNCT
ejpam-5737	72	109	,	,	PUNCT
ejpam-5737	72	110	...	...	PUNCT
ejpam-5737	72	111	(	(	PUNCT
ejpam-5737	72	112	xr−1	xr−1	PROPN
ejpam-5737	72	113	,	,	PUNCT
ejpam-5737	72	114	0	0	NUM
ejpam-5737	72	115	)	)	PUNCT
ejpam-5737	72	116	,	,	PUNCT
ejpam-5737	72	117	(	(	PUNCT
ejpam-5737	72	118	xr	xr	PROPN
ejpam-5737	72	119	,	,	PUNCT
ejpam-5737	72	120	rr	rr	NOUN
ejpam-5737	72	121	)	)	PUNCT
ejpam-5737	72	122	,	,	PUNCT
ejpam-5737	72	123	if	if	SCONJ
ejpam-5737	72	124	xj	xj	PROPN
ejpam-5737	72	125	<	<	X
ejpam-5737	72	126	t	t	X
ejpam-5737	72	127	<	<	X
ejpam-5737	72	128	xj+1	xj+1	NUM
ejpam-5737	72	129	.	.	PUNCT
ejpam-5737	73	1	it	it	PRON
ejpam-5737	73	2	should	should	AUX
ejpam-5737	73	3	be	be	AUX
ejpam-5737	73	4	noted	note	VERB
ejpam-5737	73	5	that	that	SCONJ
ejpam-5737	73	6	type	type	NOUN
ejpam-5737	73	7	-	-	PUNCT
ejpam-5737	73	8	ii	ii	NOUN
ejpam-5737	73	9	and	and	CCONJ
ejpam-5737	73	10	type	type	NOUN
ejpam-5737	73	11	-	-	PUNCT
ejpam-5737	73	12	ii	ii	NOUN
ejpam-5737	73	13	progressive	progressive	ADJ
ejpam-5737	73	14	censoring	censor	VERB
ejpam-5737	73	15	systems	system	NOUN
ejpam-5737	73	16	are	be	AUX
ejpam-5737	73	17	based	base	VERB
ejpam-5737	73	18	on	on	ADP
ejpam-5737	73	19	the	the	DET
ejpam-5737	73	20	adaptive	adaptive	ADJ
ejpam-5737	73	21	type	type	NOUN
ejpam-5737	73	22	-	-	PUNCT
ejpam-5737	73	23	ii	ii	NOUN
ejpam-5737	73	24	censored	censor	VERB
ejpam-5737	73	25	scheme	scheme	NOUN
ejpam-5737	73	26	.	.	PUNCT
ejpam-5737	74	1	although	although	SCONJ
ejpam-5737	74	2	the	the	DET
ejpam-5737	74	3	adaptive	adaptive	NOUN
ejpam-5737	74	4	the	the	DET
ejpam-5737	74	5	type	type	NOUN
ejpam-5737	74	6	-	-	PUNCT
ejpam-5737	74	7	ii	ii	NOUN
ejpam-5737	74	8	censored	censor	VERB
ejpam-5737	74	9	scheme	scheme	NOUN
ejpam-5737	74	10	is	be	AUX
ejpam-5737	74	11	reduced	reduce	VERB
ejpam-5737	74	12	to	to	ADP
ejpam-5737	74	13	a	a	DET
ejpam-5737	74	14	type	type	NOUN
ejpam-5737	74	15	-	-	PUNCT
ejpam-5737	74	16	ii	ii	NOUN
ejpam-5737	74	17	censoring	censor	VERB
ejpam-5737	74	18	scheme	scheme	NOUN
ejpam-5737	74	19	.	.	PUNCT
ejpam-5737	75	1	no	no	DET
ejpam-5737	75	2	units	unit	NOUN
ejpam-5737	75	3	will	will	AUX
ejpam-5737	75	4	be	be	AUX
ejpam-5737	75	5	removed	remove	VERB
ejpam-5737	75	6	if	if	SCONJ
ejpam-5737	75	7	t	t	NOUN
ejpam-5737	75	8	=	=	SYM
ejpam-5737	75	9	0	0	PROPN
ejpam-5737	75	10	,	,	PUNCT
ejpam-5737	75	11	j	j	PROPN
ejpam-5737	75	12	=	=	SYM
ejpam-5737	75	13	0	0	PROPN
ejpam-5737	75	14	,	,	PUNCT
ejpam-5737	75	15	and	and	CCONJ
ejpam-5737	75	16	if	if	SCONJ
ejpam-5737	75	17	t	t	PROPN
ejpam-5737	75	18	=	=	SYM
ejpam-5737	75	19	∞	∞	PROPN
ejpam-5737	75	20	,	,	PUNCT
ejpam-5737	75	21	j	j	PROPN
ejpam-5737	75	22	=	=	SYM
ejpam-5737	75	23	m	m	PROPN
ejpam-5737	75	24	,	,	PUNCT
ejpam-5737	75	25	the	the	DET
ejpam-5737	75	26	adaptive	adaptive	ADJ
ejpam-5737	75	27	type	type	NOUN
ejpam-5737	75	28	-	-	PUNCT
ejpam-5737	75	29	ii	ii	NOUN
ejpam-5737	75	30	censored	censor	VERB
ejpam-5737	75	31	scheme	scheme	NOUN
ejpam-5737	75	32	is	be	AUX
ejpam-5737	75	33	the	the	DET
ejpam-5737	75	34	same	same	ADJ
ejpam-5737	75	35	as	as	ADP
ejpam-5737	75	36	the	the	DET
ejpam-5737	75	37	type	type	NOUN
ejpam-5737	75	38	-	-	PUNCT
ejpam-5737	75	39	ii	ii	NOUN
ejpam-5737	75	40	progressive	progressive	ADJ
ejpam-5737	75	41	censored	censor	VERB
ejpam-5737	75	42	scheme	scheme	NOUN
ejpam-5737	75	43	with	with	ADP
ejpam-5737	75	44	the	the	DET
ejpam-5737	75	45	pre	pre	ADJ
ejpam-5737	75	46	-	-	ADJ
ejpam-5737	75	47	fixed	fixed	ADJ
ejpam-5737	75	48	progressive	progressive	ADJ
ejpam-5737	75	49	censored	censored	ADJ
ejpam-5737	75	50	scheme	scheme	NOUN
ejpam-5737	75	51	ri(i	ri(i	NOUN
ejpam-5737	75	52	=	=	SYM
ejpam-5737	75	53	1	1	NUM
ejpam-5737	75	54	,	,	PUNCT
ejpam-5737	75	55	2	2	NUM
ejpam-5737	75	56	,	,	PUNCT
ejpam-5737	75	57	...	...	PUNCT
ejpam-5737	75	58	,	,	PUNCT
ejpam-5737	75	59	m	m	PROPN
ejpam-5737	75	60	)	)	PUNCT
ejpam-5737	75	61	,	,	PUNCT
ejpam-5737	75	62	survival	survival	NOUN
ejpam-5737	75	63	units	unit	NOUN
ejpam-5737	75	64	will	will	AUX
ejpam-5737	75	65	be	be	AUX
ejpam-5737	75	66	randomly	randomly	ADV
ejpam-5737	75	67	removed	remove	VERB
ejpam-5737	75	68	during	during	ADP
ejpam-5737	75	69	the	the	DET
ejpam-5737	75	70	trial	trial	NOUN
ejpam-5737	75	71	.	.	PUNCT
ejpam-5737	76	1	discussions	discussion	NOUN
ejpam-5737	76	2	about	about	ADP
ejpam-5737	76	3	the	the	DET
ejpam-5737	76	4	adaptive	adaptive	ADJ
ejpam-5737	76	5	type	type	NOUN
ejpam-5737	76	6	-	-	PUNCT
ejpam-5737	76	7	ii	ii	NOUN
ejpam-5737	76	8	censored	censor	VERB
ejpam-5737	76	9	system	system	NOUN
ejpam-5737	76	10	have	have	AUX
ejpam-5737	76	11	been	be	AUX
ejpam-5737	76	12	ongoing	ongoing	ADJ
ejpam-5737	76	13	.	.	PUNCT
ejpam-5737	77	1	as	as	ADP
ejpam-5737	77	2	an	an	DET
ejpam-5737	77	3	example	example	NOUN
ejpam-5737	77	4	,	,	PUNCT
ejpam-5737	77	5	sobhi	sobhi	PROPN
ejpam-5737	77	6	and	and	CCONJ
ejpam-5737	77	7	soliman	soliman	NOUN
ejpam-5737	77	8	[	[	X
ejpam-5737	77	9	16	16	NUM
ejpam-5737	77	10	]	]	PUNCT
ejpam-5737	77	11	examined	examine	VERB
ejpam-5737	77	12	exponentiated	exponentiated	PROPN
ejpam-5737	77	13	weibull	weibull	PROPN
ejpam-5737	77	14	hazard	hazard	NOUN
ejpam-5737	77	15	functions	function	NOUN
ejpam-5737	77	16	,	,	PUNCT
ejpam-5737	77	17	reliability	reliability	NOUN
ejpam-5737	77	18	,	,	PUNCT
ejpam-5737	77	19	and	and	CCONJ
ejpam-5737	77	20	parameter	parameter	NOUN
ejpam-5737	77	21	estimation	estimation	NOUN
ejpam-5737	77	22	.	.	PUNCT
ejpam-5737	78	1	using	use	VERB
ejpam-5737	78	2	the	the	DET
ejpam-5737	78	3	type	type	NOUN
ejpam-5737	78	4	-	-	PUNCT
ejpam-5737	78	5	ii	ii	NOUN
ejpam-5737	78	6	censored	censor	VERB
ejpam-5737	78	7	adaptive	adaptive	ADJ
ejpam-5737	78	8	technique	technique	NOUN
ejpam-5737	78	9	,	,	PUNCT
ejpam-5737	78	10	nassar	nassar	PROPN
ejpam-5737	78	11	and	and	CCONJ
ejpam-5737	78	12	abo	abo	PROPN
ejpam-5737	78	13	-	-	PUNCT
ejpam-5737	78	14	kasem	kasem	NOUN
ejpam-5737	78	15	[	[	X
ejpam-5737	78	16	17	17	NUM
ejpam-5737	78	17	]	]	PUNCT
ejpam-5737	78	18	created	create	VERB
ejpam-5737	78	19	bayes	bayes	NOUN
ejpam-5737	78	20	and	and	CCONJ
ejpam-5737	78	21	machine	machine	NOUN
ejpam-5737	78	22	learning	learning	NOUN
ejpam-5737	78	23	estimations	estimation	NOUN
ejpam-5737	78	24	for	for	ADP
ejpam-5737	78	25	the	the	DET
ejpam-5737	78	26	inverse	inverse	ADJ
ejpam-5737	78	27	weibull	weibull	NOUN
ejpam-5737	78	28	distribution	distribution	NOUN
ejpam-5737	78	29	’s	’s	PART
ejpam-5737	78	30	unknown	unknown	ADJ
ejpam-5737	78	31	parameters	parameter	NOUN
ejpam-5737	78	32	.	.	PUNCT
ejpam-5737	79	1	according	accord	VERB
ejpam-5737	79	2	to	to	ADP
ejpam-5737	79	3	the	the	DET
ejpam-5737	79	4	adaptive	adaptive	ADJ
ejpam-5737	79	5	type	type	NOUN
ejpam-5737	79	6	-	-	PUNCT
ejpam-5737	79	7	ii	ii	NOUN
ejpam-5737	79	8	censored	censor	VERB
ejpam-5737	79	9	scheme	scheme	NOUN
ejpam-5737	79	10	,	,	PUNCT
ejpam-5737	79	11	sewailem	sewailem	NOUN
ejpam-5737	79	12	and	and	CCONJ
ejpam-5737	79	13	baklizi	baklizi	VERB
ejpam-5737	79	14	[	[	X
ejpam-5737	79	15	18	18	NUM
ejpam-5737	79	16	]	]	PUNCT
ejpam-5737	79	17	looked	look	VERB
ejpam-5737	79	18	at	at	ADP
ejpam-5737	79	19	the	the	DET
ejpam-5737	79	20	bayes	bayes	NOUN
ejpam-5737	79	21	and	and	CCONJ
ejpam-5737	79	22	ml	ml	PROPN
ejpam-5737	79	23	estimates	estimate	NOUN
ejpam-5737	79	24	for	for	ADP
ejpam-5737	79	25	the	the	DET
ejpam-5737	79	26	log	log	NOUN
ejpam-5737	79	27	-	-	PUNCT
ejpam-5737	79	28	logistic	logistic	ADJ
ejpam-5737	79	29	distribution	distribution	NOUN
ejpam-5737	79	30	parameters	parameter	NOUN
ejpam-5737	79	31	.	.	PUNCT
ejpam-5737	80	1	xu	xu	PROPN
ejpam-5737	80	2	and	and	CCONJ
ejpam-5737	80	3	gui	gui	NOUN
ejpam-5737	81	1	[	[	X
ejpam-5737	81	2	19	19	NUM
ejpam-5737	81	3	]	]	PUNCT
ejpam-5737	81	4	proposed	propose	VERB
ejpam-5737	81	5	the	the	DET
ejpam-5737	81	6	adaptive	adaptive	ADJ
ejpam-5737	81	7	type	type	NOUN
ejpam-5737	81	8	-	-	PUNCT
ejpam-5737	81	9	ii	ii	NOUN
ejpam-5737	81	10	censored	censor	VERB
ejpam-5737	81	11	technique	technique	NOUN
ejpam-5737	81	12	to	to	PART
ejpam-5737	81	13	calculate	calculate	VERB
ejpam-5737	81	14	entropy	entropy	NOUN
ejpam-5737	81	15	estimations	estimation	NOUN
ejpam-5737	81	16	for	for	ADP
ejpam-5737	81	17	inverse	inverse	ADJ
ejpam-5737	81	18	weibull	weibull	PROPN
ejpam-5737	81	19	distributions	distribution	NOUN
ejpam-5737	81	20	.	.	PUNCT
ejpam-5737	82	1	panahi	panahi	NOUN
ejpam-5737	82	2	and	and	CCONJ
ejpam-5737	82	3	moradi	moradi	NOUN
ejpam-5737	83	1	[	[	X
ejpam-5737	83	2	20	20	NUM
ejpam-5737	83	3	]	]	PUNCT
ejpam-5737	83	4	computed	compute	VERB
ejpam-5737	83	5	the	the	DET
ejpam-5737	83	6	parameters	parameter	NOUN
ejpam-5737	83	7	of	of	ADP
ejpam-5737	83	8	an	an	DET
ejpam-5737	83	9	exponentiated	exponentiate	VERB
ejpam-5737	83	10	inverted	invert	VERB
ejpam-5737	83	11	rayleigh	rayleigh	PROPN
ejpam-5737	83	12	model	model	PROPN
ejpam-5737	83	13	.	.	PUNCT
ejpam-5737	84	1	chen	chen	PROPN
ejpam-5737	84	2	and	and	CCONJ
ejpam-5737	84	3	gui	gui	PROPN
ejpam-5737	84	4	’s	’s	PART
ejpam-5737	84	5	[	[	X
ejpam-5737	84	6	21	21	NUM
ejpam-5737	84	7	]	]	PUNCT
ejpam-5737	84	8	study	study	NOUN
ejpam-5737	84	9	focused	focus	VERB
ejpam-5737	84	10	on	on	ADP
ejpam-5737	84	11	chen	chen	PROPN
ejpam-5737	84	12	’s	’s	PART
ejpam-5737	84	13	adaptive	adaptive	ADJ
ejpam-5737	84	14	progressive	progressive	ADJ
ejpam-5737	84	15	type	type	NOUN
ejpam-5737	84	16	-	-	PUNCT
ejpam-5737	84	17	ii	ii	NOUN
ejpam-5737	84	18	censoring	censor	VERB
ejpam-5737	84	19	model	model	NOUN
ejpam-5737	84	20	.	.	PUNCT
ejpam-5737	85	1	they	they	PRON
ejpam-5737	85	2	considered	consider	VERB
ejpam-5737	85	3	the	the	DET
ejpam-5737	85	4	kumarswamy	kumarswamy	ADJ
ejpam-5737	85	5	-	-	PUNCT
ejpam-5737	85	6	exponential	exponential	NOUN
ejpam-5737	85	7	distribution	distribution	NOUN
ejpam-5737	85	8	in	in	ADP
ejpam-5737	85	9	mohan	mohan	PROPN
ejpam-5737	85	10	and	and	CCONJ
ejpam-5737	85	11	chacko	chacko	NOUN
ejpam-5737	85	12	’s	’s	NOUN
ejpam-5737	86	1	[	[	X
ejpam-5737	86	2	22	22	NUM
ejpam-5737	86	3	]	]	PUNCT
ejpam-5737	86	4	adaptive	adaptive	ADJ
ejpam-5737	86	5	progressive	progressive	ADJ
ejpam-5737	86	6	type	type	NOUN
ejpam-5737	86	7	-	-	PUNCT
ejpam-5737	86	8	ii	ii	NOUN
ejpam-5737	86	9	censoring	censor	VERB
ejpam-5737	86	10	algorithm	algorithm	NOUN
ejpam-5737	86	11	.	.	PUNCT
ejpam-5737	87	1	hora	hora	NOUN
ejpam-5737	87	2	et	et	PROPN
ejpam-5737	87	3	al	al	PROPN
ejpam-5737	87	4	.	.	PUNCT
ejpam-5737	88	1	[	[	X
ejpam-5737	88	2	23	23	NUM
ejpam-5737	88	3	]	]	PUNCT
ejpam-5737	88	4	examined	examine	VERB
ejpam-5737	88	5	the	the	DET
ejpam-5737	88	6	bayesian	bayesian	NOUN
ejpam-5737	88	7	and	and	CCONJ
ejpam-5737	88	8	classical	classical	ADJ
ejpam-5737	88	9	outcomes	outcome	NOUN
ejpam-5737	88	10	for	for	ADP
ejpam-5737	88	11	unknown	unknown	ADJ
ejpam-5737	88	12	parameters	parameter	NOUN
ejpam-5737	88	13	of	of	ADP
ejpam-5737	88	14	the	the	DET
ejpam-5737	88	15	inverse	inverse	NOUN
ejpam-5737	88	16	lomax	lomax	PROPN
ejpam-5737	88	17	distribution	distribution	NOUN
ejpam-5737	88	18	under	under	ADP
ejpam-5737	88	19	the	the	DET
ejpam-5737	88	20	adaptive	adaptive	ADJ
ejpam-5737	88	21	progressive	progressive	ADJ
ejpam-5737	88	22	type	type	NOUN
ejpam-5737	88	23	-	-	PUNCT
ejpam-5737	88	24	ii	ii	NOUN
ejpam-5737	88	25	censoring	censor	VERB
ejpam-5737	88	26	scheme	scheme	NOUN
ejpam-5737	88	27	.	.	PUNCT
ejpam-5737	89	1	amein	amein	PROPN
ejpam-5737	89	2	et	et	PROPN
ejpam-5737	89	3	al	al	PROPN
ejpam-5737	89	4	.	.	PUNCT
ejpam-5737	90	1	[	[	X
ejpam-5737	90	2	24	24	NUM
ejpam-5737	90	3	]	]	PUNCT
ejpam-5737	90	4	investigated	investigate	VERB
ejpam-5737	90	5	several	several	ADJ
ejpam-5737	90	6	estimation	estimation	NOUN
ejpam-5737	90	7	techniques	technique	NOUN
ejpam-5737	90	8	using	use	VERB
ejpam-5737	90	9	the	the	DET
ejpam-5737	90	10	adaptive	adaptive	ADJ
ejpam-5737	90	11	type	type	NOUN
ejpam-5737	90	12	-	-	PUNCT
ejpam-5737	90	13	ii	ii	NOUN
ejpam-5737	90	14	progressive	progressive	ADJ
ejpam-5737	90	15	censored	censor	VERB
ejpam-5737	90	16	sample	sample	NOUN
ejpam-5737	90	17	from	from	ADP
ejpam-5737	90	18	the	the	DET
ejpam-5737	90	19	gompertz	gompertz	NOUN
ejpam-5737	90	20	distribution	distribution	NOUN
ejpam-5737	90	21	.	.	PUNCT
ejpam-5737	91	1	by	by	ADP
ejpam-5737	91	2	setting	set	VERB
ejpam-5737	91	3	xi	xi	X
ejpam-5737	91	4	=	=	PUNCT
ejpam-5737	91	5	xr	xr	PROPN
ejpam-5737	91	6	:	:	PUNCT
ejpam-5737	91	7	r	r	NOUN
ejpam-5737	91	8	:	:	PUNCT
ejpam-5737	91	9	n	n	CCONJ
ejpam-5737	91	10	,	,	PUNCT
ejpam-5737	91	11	i	i	PRON
ejpam-5737	91	12	=	=	NOUN
ejpam-5737	91	13	1	1	NUM
ejpam-5737	91	14	,	,	PUNCT
ejpam-5737	91	15	...	...	PUNCT
ejpam-5737	91	16	,	,	PUNCT
ejpam-5737	91	17	r.	r.	VERB
ejpam-5737	91	18	to	to	PART
ejpam-5737	91	19	keep	keep	VERB
ejpam-5737	91	20	things	thing	NOUN
ejpam-5737	91	21	simple	simple	ADJ
ejpam-5737	91	22	,	,	PUNCT
ejpam-5737	91	23	the	the	DET
ejpam-5737	91	24	following	follow	VERB
ejpam-5737	91	25	can	can	AUX
ejpam-5737	91	26	be	be	AUX
ejpam-5737	91	27	used	use	VERB
ejpam-5737	91	28	to	to	PART
ejpam-5737	91	29	express	express	VERB
ejpam-5737	91	30	the	the	DET
ejpam-5737	91	31	probability	probability	NOUN
ejpam-5737	91	32	function	function	NOUN
ejpam-5737	91	33	adaptive	adaptive	ADJ
ejpam-5737	91	34	type	type	NOUN
ejpam-5737	91	35	-	-	PUNCT
ejpam-5737	91	36	ii	ii	NOUN
ejpam-5737	91	37	progressive	progressive	ADJ
ejpam-5737	91	38	censored	censored	ADJ
ejpam-5737	91	39	data	datum	NOUN
ejpam-5737	91	40	:	:	PUNCT
ejpam-5737	91	41	ℓ(x	ℓ(x	PROPN
ejpam-5737	91	42	|	|	NOUN
ejpam-5737	91	43	ω	ω	NOUN
ejpam-5737	91	44	)	)	PUNCT
ejpam-5737	92	1	=	=	PRON
ejpam-5737	92	2	cj	cj	NOUN
ejpam-5737	93	1	r∏	r∏	NOUN
ejpam-5737	93	2	i=1	i=1	PRON
ejpam-5737	94	1	f(xi	f(xi	PROPN
ejpam-5737	94	2	|	|	ADV
ejpam-5737	94	3	ω	ω	NOUN
ejpam-5737	94	4	)	)	PUNCT
ejpam-5737	95	1	j∏	j∏	PROPN
ejpam-5737	95	2	i=1	i=1	PROPN
ejpam-5737	95	3	(	(	PUNCT
ejpam-5737	95	4	s(xi	s(xi	PROPN
ejpam-5737	95	5	|	|	ADV
ejpam-5737	95	6	ω))ri(s(xr	ω))ri(s(xr	NOUN
ejpam-5737	95	7	|	|	ADV
ejpam-5737	95	8	ω))r	ω))r	PROPN
ejpam-5737	95	9	∗	∗	NOUN
ejpam-5737	95	10	,	,	PUNCT
ejpam-5737	95	11	(	(	PUNCT
ejpam-5737	95	12	1	1	X
ejpam-5737	95	13	)	)	PUNCT
ejpam-5737	96	1	where	where	SCONJ
ejpam-5737	96	2	cj	cj	VERB
ejpam-5737	96	3	=	=	SYM
ejpam-5737	96	4	r∏	r∏	NOUN
ejpam-5737	96	5	i=1	i=1	X
ejpam-5737	97	1	[	[	X
ejpam-5737	97	2	n	n	X
ejpam-5737	97	3	−	−	NOUN
ejpam-5737	98	1	i	i	PRON
ejpam-5737	98	2	+	+	NOUN
ejpam-5737	98	3	1	1	NUM
ejpam-5737	98	4	−	−	NOUN
ejpam-5737	98	5	min{i−1,j}∑	min{i−1,j}∑	NOUN
ejpam-5737	98	6	k=1	k=1	NOUN
ejpam-5737	98	7	rk	rk	VERB
ejpam-5737	98	8	]	]	X
ejpam-5737	98	9	,	,	PUNCT
ejpam-5737	98	10	and	and	CCONJ
ejpam-5737	98	11	the	the	DET
ejpam-5737	98	12	vector	vector	NOUN
ejpam-5737	98	13	of	of	ADP
ejpam-5737	98	14	the	the	DET
ejpam-5737	98	15	unknown	unknown	ADJ
ejpam-5737	98	16	parameters	parameter	NOUN
ejpam-5737	98	17	is	be	AUX
ejpam-5737	98	18	denoted	denote	VERB
ejpam-5737	98	19	by	by	ADP
ejpam-5737	98	20	ω	ω	PROPN
ejpam-5737	98	21	=	=	SYM
ejpam-5737	98	22	(	(	PUNCT
ejpam-5737	98	23	β	β	X
ejpam-5737	98	24	,	,	PUNCT
ejpam-5737	98	25	ξ	ξ	NOUN
ejpam-5737	98	26	)	)	PUNCT
ejpam-5737	98	27	.	.	PUNCT
ejpam-5737	99	1	s.	s.	PROPN
ejpam-5737	99	2	m.	m.	PROPN
ejpam-5737	99	3	ahmed	ahmed	PROPN
ejpam-5737	99	4	,	,	PUNCT
ejpam-5737	99	5	g.	g.	PROPN
ejpam-5737	99	6	m.	m.	PROPN
ejpam-5737	99	7	ismail	ismail	PROPN
ejpam-5737	99	8	/	/	SYM
ejpam-5737	99	9	eur	eur	PROPN
ejpam-5737	99	10	.	.	PUNCT
ejpam-5737	100	1	j.	j.	PROPN
ejpam-5737	100	2	pure	pure	PROPN
ejpam-5737	100	3	appl	appl	PROPN
ejpam-5737	100	4	.	.	PROPN
ejpam-5737	100	5	math	math	PROPN
ejpam-5737	100	6	,	,	PUNCT
ejpam-5737	100	7	18	18	NUM
ejpam-5737	100	8	(	(	PUNCT
ejpam-5737	100	9	1	1	NUM
ejpam-5737	100	10	)	)	PUNCT
ejpam-5737	100	11	(	(	PUNCT
ejpam-5737	100	12	2025	2025	NUM
ejpam-5737	100	13	)	)	PUNCT
ejpam-5737	100	14	,	,	PUNCT
ejpam-5737	100	15	5737	5737	NUM
ejpam-5737	100	16	4	4	NUM
ejpam-5737	100	17	of	of	ADP
ejpam-5737	100	18	22	22	NUM
ejpam-5737	100	19	this	this	DET
ejpam-5737	100	20	study	study	NOUN
ejpam-5737	100	21	’s	’s	PART
ejpam-5737	100	22	main	main	ADJ
ejpam-5737	100	23	goal	goal	NOUN
ejpam-5737	100	24	is	be	AUX
ejpam-5737	100	25	to	to	PART
ejpam-5737	100	26	examine	examine	VERB
ejpam-5737	100	27	the	the	DET
ejpam-5737	100	28	adaptive	adaptive	ADJ
ejpam-5737	100	29	progressively	progressively	ADV
ejpam-5737	100	30	type	type	NOUN
ejpam-5737	100	31	-	-	PUNCT
ejpam-5737	100	32	ii	ii	NOUN
ejpam-5737	100	33	from	from	ADP
ejpam-5737	100	34	the	the	DET
ejpam-5737	100	35	entropy	entropy	NOUN
ejpam-5737	100	36	of	of	ADP
ejpam-5737	100	37	lo	lo	PROPN
ejpam-5737	100	38	distribution	distribution	NOUN
ejpam-5737	100	39	.	.	PUNCT
ejpam-5737	101	1	since	since	SCONJ
ejpam-5737	101	2	there	there	PRON
ejpam-5737	101	3	are	be	VERB
ejpam-5737	101	4	n’t	not	PART
ejpam-5737	101	5	many	many	ADJ
ejpam-5737	101	6	relevant	relevant	ADJ
ejpam-5737	101	7	works	work	NOUN
ejpam-5737	101	8	that	that	PRON
ejpam-5737	101	9	discuss	discuss	VERB
ejpam-5737	101	10	this	this	DET
ejpam-5737	101	11	subject	subject	NOUN
ejpam-5737	101	12	.	.	PUNCT
ejpam-5737	102	1	it	it	PRON
ejpam-5737	102	2	discussed	discuss	VERB
ejpam-5737	102	3	as	as	SCONJ
ejpam-5737	102	4	follows	follow	VERB
ejpam-5737	102	5	:	:	PUNCT
ejpam-5737	102	6	•	•	SCONJ
ejpam-5737	102	7	the	the	DET
ejpam-5737	102	8	entropy	entropy	NOUN
ejpam-5737	102	9	function	function	NOUN
ejpam-5737	102	10	is	be	AUX
ejpam-5737	102	11	estimated	estimate	VERB
ejpam-5737	102	12	using	use	VERB
ejpam-5737	102	13	the	the	DET
ejpam-5737	102	14	maximum	maximum	ADJ
ejpam-5737	102	15	likelihood	likelihood	NOUN
ejpam-5737	102	16	approach	approach	NOUN
ejpam-5737	102	17	.	.	PUNCT
ejpam-5737	103	1	•	•	INTJ
ejpam-5737	103	2	we	we	PRON
ejpam-5737	103	3	calculate	calculate	VERB
ejpam-5737	103	4	the	the	DET
ejpam-5737	103	5	maximum	maximum	ADJ
ejpam-5737	103	6	likelihood	likelihood	NOUN
ejpam-5737	103	7	estimator	estimator	NOUN
ejpam-5737	103	8	for	for	ADP
ejpam-5737	103	9	the	the	DET
ejpam-5737	103	10	parameters	parameter	NOUN
ejpam-5737	103	11	and	and	CCONJ
ejpam-5737	103	12	entropy	entropy	NOUN
ejpam-5737	103	13	numerically	numerically	ADV
ejpam-5737	103	14	,	,	PUNCT
ejpam-5737	103	15	which	which	PRON
ejpam-5737	103	16	considers	consider	VERB
ejpam-5737	103	17	the	the	DET
ejpam-5737	103	18	newton	newton	PROPN
ejpam-5737	103	19	-	-	PUNCT
ejpam-5737	103	20	rapshon	rapshon	PROPN
ejpam-5737	103	21	.	.	PUNCT
ejpam-5737	104	1	•	•	INTJ
ejpam-5737	104	2	we	we	PRON
ejpam-5737	104	3	discuss	discuss	VERB
ejpam-5737	104	4	interval	interval	NOUN
ejpam-5737	104	5	estimation	estimation	NOUN
ejpam-5737	104	6	using	use	VERB
ejpam-5737	104	7	the	the	DET
ejpam-5737	104	8	bootstrap	bootstrap	NOUN
ejpam-5737	104	9	approach	approach	NOUN
ejpam-5737	104	10	and	and	CCONJ
ejpam-5737	104	11	the	the	DET
ejpam-5737	104	12	approximation	approximation	NOUN
ejpam-5737	104	13	information	information	NOUN
ejpam-5737	104	14	matrix	matrix	NOUN
ejpam-5737	104	15	methods	method	NOUN
ejpam-5737	104	16	.	.	PUNCT
ejpam-5737	105	1	•	•	NUM
ejpam-5737	105	2	assuming	assume	VERB
ejpam-5737	105	3	that	that	SCONJ
ejpam-5737	105	4	the	the	DET
ejpam-5737	105	5	scale	scale	NOUN
ejpam-5737	105	6	and	and	CCONJ
ejpam-5737	105	7	shape	shape	NOUN
ejpam-5737	105	8	parameters	parameter	NOUN
ejpam-5737	105	9	in	in	ADP
ejpam-5737	105	10	the	the	DET
ejpam-5737	105	11	model	model	NOUN
ejpam-5737	105	12	each	each	PRON
ejpam-5737	105	13	follow	follow	VERB
ejpam-5737	105	14	different	different	ADJ
ejpam-5737	105	15	gamma	gamma	NOUN
ejpam-5737	105	16	priors	prior	NOUN
ejpam-5737	105	17	,	,	PUNCT
ejpam-5737	105	18	the	the	DET
ejpam-5737	105	19	metropolis	metropolis	PROPN
ejpam-5737	105	20	-	-	PUNCT
ejpam-5737	105	21	hasting	hasting	PROPN
ejpam-5737	105	22	method	method	NOUN
ejpam-5737	105	23	is	be	AUX
ejpam-5737	105	24	then	then	ADV
ejpam-5737	105	25	used	use	VERB
ejpam-5737	105	26	to	to	PART
ejpam-5737	105	27	get	get	VERB
ejpam-5737	105	28	the	the	DET
ejpam-5737	105	29	bayes	bayes	NOUN
ejpam-5737	105	30	estimators	estimator	NOUN
ejpam-5737	105	31	and	and	CCONJ
ejpam-5737	105	32	associated	associate	VERB
ejpam-5737	105	33	credible	credible	ADJ
ejpam-5737	105	34	intervals	interval	NOUN
ejpam-5737	105	35	.	.	PUNCT
ejpam-5737	106	1	•	•	NUM
ejpam-5737	106	2	lastly	lastly	ADV
ejpam-5737	106	3	,	,	PUNCT
ejpam-5737	106	4	the	the	DET
ejpam-5737	106	5	performance	performance	NOUN
ejpam-5737	106	6	of	of	ADP
ejpam-5737	106	7	estimations	estimation	NOUN
ejpam-5737	106	8	utilizing	utilize	VERB
ejpam-5737	106	9	monte	monte	PROPN
ejpam-5737	106	10	carlo	carlo	PROPN
ejpam-5737	106	11	simulation	simulation	PROPN
ejpam-5737	106	12	is	be	AUX
ejpam-5737	106	13	assessed	assess	VERB
ejpam-5737	106	14	using	use	VERB
ejpam-5737	106	15	mean	mean	NOUN
ejpam-5737	106	16	squared	square	VERB
ejpam-5737	106	17	error	error	NOUN
ejpam-5737	106	18	.	.	PUNCT
ejpam-5737	107	1	on	on	ADP
ejpam-5737	107	2	the	the	DET
ejpam-5737	107	3	other	other	ADJ
ejpam-5737	107	4	hand	hand	NOUN
ejpam-5737	107	5	,	,	PUNCT
ejpam-5737	107	6	average	average	ADJ
ejpam-5737	107	7	length	length	NOUN
ejpam-5737	107	8	and	and	CCONJ
ejpam-5737	107	9	probability	probability	NOUN
ejpam-5737	107	10	coverage	coverage	NOUN
ejpam-5737	107	11	are	be	AUX
ejpam-5737	107	12	used	use	VERB
ejpam-5737	107	13	in	in	ADP
ejpam-5737	107	14	interval	interval	NOUN
ejpam-5737	107	15	estimate	estimate	NOUN
ejpam-5737	107	16	.	.	PUNCT
ejpam-5737	108	1	the	the	DET
ejpam-5737	108	2	rest	rest	NOUN
ejpam-5737	108	3	of	of	ADP
ejpam-5737	108	4	the	the	DET
ejpam-5737	108	5	document	document	NOUN
ejpam-5737	108	6	is	be	AUX
ejpam-5737	108	7	structured	structure	VERB
ejpam-5737	108	8	as	as	SCONJ
ejpam-5737	108	9	follows	follow	VERB
ejpam-5737	108	10	:	:	PUNCT
ejpam-5737	108	11	the	the	DET
ejpam-5737	108	12	model	model	NOUN
ejpam-5737	108	13	and	and	CCONJ
ejpam-5737	108	14	its	its	PRON
ejpam-5737	108	15	underlying	underlie	VERB
ejpam-5737	108	16	assumptions	assumption	NOUN
ejpam-5737	108	17	are	be	AUX
ejpam-5737	108	18	presented	present	VERB
ejpam-5737	108	19	in	in	ADP
ejpam-5737	108	20	section	section	NOUN
ejpam-5737	108	21	2	2	NUM
ejpam-5737	108	22	.	.	PUNCT
ejpam-5737	108	23	section	section	NOUN
ejpam-5737	108	24	2	2	NUM
ejpam-5737	108	25	provided	provide	VERB
ejpam-5737	108	26	the	the	DET
ejpam-5737	108	27	maximum	maximum	ADJ
ejpam-5737	108	28	likelihood	likelihood	NOUN
ejpam-5737	108	29	estimate	estimate	NOUN
ejpam-5737	108	30	(	(	PUNCT
ejpam-5737	108	31	mle	mle	NOUN
ejpam-5737	108	32	)	)	PUNCT
ejpam-5737	108	33	and	and	CCONJ
ejpam-5737	108	34	bayesian	bayesian	NOUN
ejpam-5737	108	35	analysis	analysis	NOUN
ejpam-5737	108	36	applying	apply	VERB
ejpam-5737	108	37	the	the	DET
ejpam-5737	108	38	markov	markov	NOUN
ejpam-5737	108	39	chain	chain	NOUN
ejpam-5737	108	40	monte	monte	PROPN
ejpam-5737	108	41	carlo	carlo	PROPN
ejpam-5737	108	42	(	(	PUNCT
ejpam-5737	108	43	mcmc	mcmc	PROPN
ejpam-5737	108	44	)	)	PUNCT
ejpam-5737	108	45	,	,	PUNCT
ejpam-5737	108	46	the	the	DET
ejpam-5737	108	47	squared	square	VERB
ejpam-5737	108	48	error	error	NOUN
ejpam-5737	108	49	(	(	PUNCT
ejpam-5737	108	50	se	se	ADJ
ejpam-5737	108	51	)	)	PUNCT
ejpam-5737	108	52	function	function	NOUN
ejpam-5737	108	53	and	and	CCONJ
ejpam-5737	108	54	the	the	DET
ejpam-5737	108	55	linear	linear	ADJ
ejpam-5737	108	56	-	-	PUNCT
ejpam-5737	108	57	exponential	exponential	NOUN
ejpam-5737	108	58	(	(	PUNCT
ejpam-5737	108	59	linex	linex	ADJ
ejpam-5737	108	60	)	)	PUNCT
ejpam-5737	108	61	loss	loss	NOUN
ejpam-5737	108	62	function	function	NOUN
ejpam-5737	108	63	.	.	PUNCT
ejpam-5737	109	1	section	section	NOUN
ejpam-5737	109	2	2	2	NUM
ejpam-5737	109	3	,	,	PUNCT
ejpam-5737	109	4	the	the	DET
ejpam-5737	109	5	estimated	estimate	VERB
ejpam-5737	109	6	approximate	approximate	ADJ
ejpam-5737	109	7	confidence	confidence	NOUN
ejpam-5737	109	8	intervals	interval	NOUN
ejpam-5737	109	9	derived	derive	VERB
ejpam-5737	109	10	from	from	ADP
ejpam-5737	109	11	the	the	DET
ejpam-5737	109	12	mles	mle	NOUN
ejpam-5737	109	13	,	,	PUNCT
ejpam-5737	109	14	the	the	DET
ejpam-5737	109	15	bootstrap	bootstrap	NOUN
ejpam-5737	109	16	interval	interval	NOUN
ejpam-5737	109	17	and	and	CCONJ
ejpam-5737	109	18	the	the	DET
ejpam-5737	109	19	highest	high	ADJ
ejpam-5737	109	20	posterior	posterior	ADJ
ejpam-5737	109	21	density	density	NOUN
ejpam-5737	109	22	(	(	PUNCT
ejpam-5737	109	23	hpd	hpd	NOUN
ejpam-5737	109	24	)	)	PUNCT
ejpam-5737	109	25	credible	credible	ADJ
ejpam-5737	109	26	interval	interval	NOUN
ejpam-5737	109	27	are	be	AUX
ejpam-5737	109	28	derived	derive	VERB
ejpam-5737	109	29	.	.	PUNCT
ejpam-5737	110	1	we	we	PRON
ejpam-5737	110	2	do	do	VERB
ejpam-5737	110	3	a	a	DET
ejpam-5737	110	4	simulated	simulated	ADJ
ejpam-5737	110	5	analysis	analysis	NOUN
ejpam-5737	110	6	and	and	CCONJ
ejpam-5737	110	7	simulate	simulate	VERB
ejpam-5737	110	8	a	a	DET
ejpam-5737	110	9	data	datum	NOUN
ejpam-5737	110	10	set	set	VERB
ejpam-5737	110	11	to	to	PART
ejpam-5737	110	12	illustrate	illustrate	VERB
ejpam-5737	110	13	the	the	DET
ejpam-5737	110	14	estimate	estimate	NOUN
ejpam-5737	110	15	methods	method	NOUN
ejpam-5737	110	16	covered	cover	VERB
ejpam-5737	110	17	in	in	ADP
ejpam-5737	110	18	this	this	DET
ejpam-5737	110	19	paper	paper	NOUN
ejpam-5737	110	20	and	and	CCONJ
ejpam-5737	110	21	examine	examine	VERB
ejpam-5737	110	22	actual	actual	ADJ
ejpam-5737	110	23	data	datum	NOUN
ejpam-5737	110	24	in	in	ADP
ejpam-5737	110	25	section	section	NOUN
ejpam-5737	110	26	3	3	NUM
ejpam-5737	110	27	.	.	PUNCT
ejpam-5737	110	28	section	section	NOUN
ejpam-5737	110	29	4	4	NUM
ejpam-5737	110	30	contains	contain	VERB
ejpam-5737	110	31	the	the	DET
ejpam-5737	110	32	final	final	ADJ
ejpam-5737	110	33	remarks	remark	NOUN
ejpam-5737	110	34	.	.	PUNCT
ejpam-5737	111	1	2	2	X
ejpam-5737	111	2	.	.	X
ejpam-5737	111	3	methodology	methodology	NOUN
ejpam-5737	111	4	in	in	ADP
ejpam-5737	111	5	this	this	DET
ejpam-5737	111	6	particular	particular	ADJ
ejpam-5737	111	7	instance	instance	NOUN
ejpam-5737	111	8	,	,	PUNCT
ejpam-5737	111	9	unit	unit	NOUN
ejpam-5737	111	10	lifetime	lifetime	NOUN
ejpam-5737	111	11	has	have	VERB
ejpam-5737	111	12	a	a	DET
ejpam-5737	111	13	lo	lo	NOUN
ejpam-5737	111	14	distribution	distribution	NOUN
ejpam-5737	111	15	in	in	ADP
ejpam-5737	111	16	the	the	DET
ejpam-5737	111	17	model	model	NOUN
ejpam-5737	111	18	that	that	PRON
ejpam-5737	111	19	is	be	AUX
ejpam-5737	111	20	being	be	AUX
ejpam-5737	111	21	developed	develop	VERB
ejpam-5737	111	22	.	.	PUNCT
ejpam-5737	112	1	the	the	DET
ejpam-5737	112	2	point	point	NOUN
ejpam-5737	112	3	estimates	estimate	NOUN
ejpam-5737	112	4	of	of	ADP
ejpam-5737	112	5	entropy	entropy	NOUN
ejpam-5737	112	6	are	be	AUX
ejpam-5737	112	7	created	create	VERB
ejpam-5737	112	8	using	use	VERB
ejpam-5737	112	9	the	the	DET
ejpam-5737	112	10	bayesian	bayesian	NOUN
ejpam-5737	112	11	and	and	CCONJ
ejpam-5737	112	12	mle	mle	PROPN
ejpam-5737	112	13	approaches	approach	NOUN
ejpam-5737	112	14	.	.	PUNCT
ejpam-5737	113	1	additionally	additionally	ADV
ejpam-5737	113	2	,	,	PUNCT
ejpam-5737	113	3	interval	interval	NOUN
ejpam-5737	113	4	estimators	estimator	NOUN
ejpam-5737	113	5	are	be	AUX
ejpam-5737	113	6	developed	develop	VERB
ejpam-5737	113	7	using	use	VERB
ejpam-5737	113	8	bootstrap	bootstrap	NOUN
ejpam-5737	113	9	methods	method	NOUN
ejpam-5737	113	10	,	,	PUNCT
ejpam-5737	113	11	hpd	hpd	PROPN
ejpam-5737	113	12	credible	credible	ADJ
ejpam-5737	113	13	intervals	interval	NOUN
ejpam-5737	113	14	,	,	PUNCT
ejpam-5737	113	15	and	and	CCONJ
ejpam-5737	113	16	the	the	DET
ejpam-5737	113	17	asymptotic	asymptotic	ADJ
ejpam-5737	113	18	property	property	NOUN
ejpam-5737	113	19	of	of	ADP
ejpam-5737	113	20	mles	mle	NOUN
ejpam-5737	113	21	.	.	PUNCT
ejpam-5737	114	1	2.1	2.1	NUM
ejpam-5737	114	2	.	.	PUNCT
ejpam-5737	115	1	the	the	DET
ejpam-5737	115	2	lomax	lomax	PROPN
ejpam-5737	115	3	distribution	distribution	NOUN
ejpam-5737	115	4	model	model	NOUN
ejpam-5737	115	5	if	if	SCONJ
ejpam-5737	115	6	x	x	PRON
ejpam-5737	115	7	has	have	VERB
ejpam-5737	115	8	the	the	DET
ejpam-5737	115	9	lo	lo	PROPN
ejpam-5737	115	10	distribution	distribution	NOUN
ejpam-5737	115	11	next	next	ADV
ejpam-5737	115	12	,	,	PUNCT
ejpam-5737	115	13	the	the	DET
ejpam-5737	115	14	probability	probability	NOUN
ejpam-5737	115	15	density	density	NOUN
ejpam-5737	115	16	function	function	NOUN
ejpam-5737	115	17	(	(	PUNCT
ejpam-5737	115	18	pdf	pdf	NOUN
ejpam-5737	115	19	)	)	PUNCT
ejpam-5737	115	20	and	and	CCONJ
ejpam-5737	115	21	cumulative	cumulative	ADJ
ejpam-5737	115	22	distribution	distribution	NOUN
ejpam-5737	115	23	function	function	NOUN
ejpam-5737	115	24	(	(	PUNCT
ejpam-5737	115	25	cdf	cdf	PROPN
ejpam-5737	115	26	)	)	PUNCT
ejpam-5737	115	27	of	of	ADP
ejpam-5737	115	28	x	x	NOUN
ejpam-5737	115	29	are	be	AUX
ejpam-5737	115	30	given	give	VERB
ejpam-5737	115	31	by	by	ADP
ejpam-5737	115	32	:	:	PUNCT
ejpam-5737	115	33	f(x	f(x	PROPN
ejpam-5737	115	34	)	)	PUNCT
ejpam-5737	116	1	=	=	PUNCT
ejpam-5737	116	2	β	β	NOUN
ejpam-5737	116	3	ξβ(ξ	ξβ(ξ	NUM
ejpam-5737	116	4	+	+	CCONJ
ejpam-5737	116	5	x)−β−1	x)−β−1	PROPN
ejpam-5737	116	6	,	,	PUNCT
ejpam-5737	116	7	β	β	X
ejpam-5737	116	8	,	,	PUNCT
ejpam-5737	116	9	ξ	ξ	PROPN
ejpam-5737	116	10	,	,	PUNCT
ejpam-5737	116	11	x	x	X
ejpam-5737	116	12	>	>	X
ejpam-5737	116	13	0	0	NUM
ejpam-5737	116	14	,	,	PUNCT
ejpam-5737	116	15	(	(	PUNCT
ejpam-5737	116	16	2	2	X
ejpam-5737	116	17	)	)	PUNCT
ejpam-5737	116	18	f	f	NOUN
ejpam-5737	116	19	(	(	PUNCT
ejpam-5737	116	20	x	x	X
ejpam-5737	116	21	)	)	PUNCT
ejpam-5737	116	22	=	=	SYM
ejpam-5737	116	23	1−	1−	NUM
ejpam-5737	116	24	ξβ(ξ	ξβ(ξ	NUM
ejpam-5737	116	25	+	+	CCONJ
ejpam-5737	116	26	x)−β	x)−β	PROPN
ejpam-5737	116	27	,	,	PUNCT
ejpam-5737	116	28	β	β	X
ejpam-5737	116	29	,	,	PUNCT
ejpam-5737	116	30	ξ	ξ	PROPN
ejpam-5737	116	31	,	,	PUNCT
ejpam-5737	116	32	x	x	X
ejpam-5737	116	33	>	>	X
ejpam-5737	116	34	0	0	NUM
ejpam-5737	116	35	,	,	PUNCT
ejpam-5737	116	36	(	(	PUNCT
ejpam-5737	116	37	3	3	X
ejpam-5737	116	38	)	)	PUNCT
ejpam-5737	116	39	where	where	SCONJ
ejpam-5737	116	40	the	the	DET
ejpam-5737	116	41	scale	scale	NOUN
ejpam-5737	116	42	parameter	parameter	NOUN
ejpam-5737	116	43	is	be	AUX
ejpam-5737	116	44	represented	represent	VERB
ejpam-5737	116	45	by	by	ADP
ejpam-5737	116	46	ξ	ξ	PROPN
ejpam-5737	116	47	and	and	CCONJ
ejpam-5737	116	48	the	the	DET
ejpam-5737	116	49	shape	shape	NOUN
ejpam-5737	116	50	parameter	parameter	NOUN
ejpam-5737	116	51	by	by	ADP
ejpam-5737	116	52	β	β	X
ejpam-5737	116	53	.	.	PUNCT
ejpam-5737	117	1	this	this	DET
ejpam-5737	117	2	distribution	distribution	NOUN
ejpam-5737	117	3	was	be	AUX
ejpam-5737	117	4	presented	present	VERB
ejpam-5737	117	5	as	as	ADP
ejpam-5737	117	6	a	a	DET
ejpam-5737	117	7	model	model	NOUN
ejpam-5737	117	8	for	for	ADP
ejpam-5737	117	9	corporate	corporate	ADJ
ejpam-5737	117	10	failure	failure	NOUN
ejpam-5737	117	11	data	datum	NOUN
ejpam-5737	117	12	by	by	ADP
ejpam-5737	117	13	lo	lo	PROPN
ejpam-5737	118	1	[	[	X
ejpam-5737	118	2	25	25	NUM
ejpam-5737	118	3	]	]	PUNCT
ejpam-5737	118	4	.	.	PUNCT
ejpam-5737	119	1	chahkandi	chahkandi	PROPN
ejpam-5737	119	2	s.	s.	PROPN
ejpam-5737	119	3	m.	m.	PROPN
ejpam-5737	119	4	ahmed	ahmed	PROPN
ejpam-5737	119	5	,	,	PUNCT
ejpam-5737	119	6	g.	g.	PROPN
ejpam-5737	119	7	m.	m.	PROPN
ejpam-5737	119	8	ismail	ismail	PROPN
ejpam-5737	119	9	/	/	SYM
ejpam-5737	119	10	eur	eur	PROPN
ejpam-5737	119	11	.	.	PUNCT
ejpam-5737	120	1	j.	j.	PROPN
ejpam-5737	120	2	pure	pure	PROPN
ejpam-5737	120	3	appl	appl	PROPN
ejpam-5737	120	4	.	.	PROPN
ejpam-5737	120	5	math	math	PROPN
ejpam-5737	120	6	,	,	PUNCT
ejpam-5737	120	7	18	18	NUM
ejpam-5737	120	8	(	(	PUNCT
ejpam-5737	120	9	1	1	NUM
ejpam-5737	120	10	)	)	PUNCT
ejpam-5737	120	11	(	(	PUNCT
ejpam-5737	120	12	2025	2025	NUM
ejpam-5737	120	13	)	)	PUNCT
ejpam-5737	120	14	,	,	PUNCT
ejpam-5737	120	15	5737	5737	NUM
ejpam-5737	120	16	5	5	NUM
ejpam-5737	120	17	of	of	ADP
ejpam-5737	120	18	22	22	NUM
ejpam-5737	120	19	and	and	CCONJ
ejpam-5737	120	20	ganjali	ganjali	VERB
ejpam-5737	120	21	[	[	X
ejpam-5737	120	22	26	26	NUM
ejpam-5737	120	23	]	]	PUNCT
ejpam-5737	120	24	state	state	NOUN
ejpam-5737	120	25	that	that	SCONJ
ejpam-5737	120	26	it	it	PRON
ejpam-5737	120	27	is	be	AUX
ejpam-5737	120	28	a	a	DET
ejpam-5737	120	29	member	member	NOUN
ejpam-5737	120	30	of	of	ADP
ejpam-5737	120	31	the	the	DET
ejpam-5737	120	32	class	class	NOUN
ejpam-5737	120	33	of	of	ADP
ejpam-5737	120	34	distributions	distribution	NOUN
ejpam-5737	120	35	with	with	ADP
ejpam-5737	120	36	declining	decline	VERB
ejpam-5737	120	37	failure	failure	NOUN
ejpam-5737	120	38	rates	rate	NOUN
ejpam-5737	120	39	.	.	PUNCT
ejpam-5737	121	1	when	when	SCONJ
ejpam-5737	121	2	the	the	DET
ejpam-5737	121	3	researcher	researcher	NOUN
ejpam-5737	121	4	suspects	suspect	VERB
ejpam-5737	121	5	a	a	DET
ejpam-5737	121	6	heavy	heavy	ADV
ejpam-5737	121	7	-	-	PUNCT
ejpam-5737	121	8	tailed	tail	VERB
ejpam-5737	121	9	distribution	distribution	NOUN
ejpam-5737	121	10	in	in	ADP
ejpam-5737	121	11	the	the	DET
ejpam-5737	121	12	population	population	NOUN
ejpam-5737	121	13	,	,	PUNCT
ejpam-5737	121	14	it	it	PRON
ejpam-5737	121	15	offers	offer	VERB
ejpam-5737	121	16	a	a	DET
ejpam-5737	121	17	very	very	ADV
ejpam-5737	121	18	good	good	ADJ
ejpam-5737	121	19	substitute	substitute	NOUN
ejpam-5737	121	20	for	for	ADP
ejpam-5737	121	21	popular	popular	ADJ
ejpam-5737	121	22	lifespan	lifespan	NOUN
ejpam-5737	121	23	distributions	distribution	NOUN
ejpam-5737	121	24	including	include	VERB
ejpam-5737	121	25	in	in	ADP
ejpam-5737	121	26	gamma	gamma	PROPN
ejpam-5737	121	27	weibull	weibull	PROPN
ejpam-5737	121	28	,	,	PUNCT
ejpam-5737	121	29	or	or	CCONJ
ejpam-5737	121	30	exponential	exponential	NOUN
ejpam-5737	121	31	(	(	PUNCT
ejpam-5737	121	32	see	see	VERB
ejpam-5737	121	33	[	[	X
ejpam-5737	121	34	27	27	NUM
ejpam-5737	121	35	]	]	PUNCT
ejpam-5737	121	36	.	.	PUNCT
ejpam-5737	122	1	this	this	DET
ejpam-5737	122	2	distribution	distribution	NOUN
ejpam-5737	122	3	’s	’s	PART
ejpam-5737	122	4	genesis	genesis	NOUN
ejpam-5737	122	5	,	,	PUNCT
ejpam-5737	122	6	various	various	ADJ
ejpam-5737	122	7	features	feature	NOUN
ejpam-5737	122	8	,	,	PUNCT
ejpam-5737	122	9	and	and	CCONJ
ejpam-5737	122	10	application	application	NOUN
ejpam-5737	122	11	areas	area	NOUN
ejpam-5737	122	12	are	be	AUX
ejpam-5737	122	13	described	describe	VERB
ejpam-5737	122	14	in	in	ADP
ejpam-5737	122	15	[	[	X
ejpam-5737	122	16	28	28	NUM
ejpam-5737	122	17	,	,	PUNCT
ejpam-5737	122	18	29	29	NUM
ejpam-5737	122	19	]	]	PUNCT
ejpam-5737	122	20	.	.	PUNCT
ejpam-5737	123	1	the	the	DET
ejpam-5737	123	2	literature	literature	NOUN
ejpam-5737	123	3	contains	contain	VERB
ejpam-5737	123	4	a	a	DET
ejpam-5737	123	5	wide	wide	ADJ
ejpam-5737	123	6	range	range	NOUN
ejpam-5737	123	7	of	of	ADP
ejpam-5737	123	8	applications	application	NOUN
ejpam-5737	123	9	for	for	ADP
ejpam-5737	123	10	the	the	DET
ejpam-5737	123	11	lo	lo	PROPN
ejpam-5737	123	12	distribution	distribution	NOUN
ejpam-5737	123	13	.	.	PUNCT
ejpam-5737	124	1	for	for	ADP
ejpam-5737	124	2	instance	instance	NOUN
ejpam-5737	124	3	,	,	PUNCT
ejpam-5737	124	4	it	it	PRON
ejpam-5737	124	5	has	have	AUX
ejpam-5737	124	6	been	be	AUX
ejpam-5737	124	7	widely	widely	ADV
ejpam-5737	124	8	utilized	utilize	VERB
ejpam-5737	124	9	for	for	ADP
ejpam-5737	124	10	life	life	NOUN
ejpam-5737	124	11	testing	testing	NOUN
ejpam-5737	124	12	and	and	CCONJ
ejpam-5737	124	13	dependability	dependability	NOUN
ejpam-5737	124	14	modeling	modeling	NOUN
ejpam-5737	124	15	;	;	PUNCT
ejpam-5737	124	16	take	take	VERB
ejpam-5737	124	17	balkema	balkema	NOUN
ejpam-5737	124	18	and	and	CCONJ
ejpam-5737	124	19	de	de	X
ejpam-5737	124	20	haan	haan	X
ejpam-5737	125	1	[	[	X
ejpam-5737	125	2	30	30	NUM
ejpam-5737	125	3	]	]	PUNCT
ejpam-5737	125	4	as	as	ADP
ejpam-5737	125	5	an	an	DET
ejpam-5737	125	6	example	example	NOUN
ejpam-5737	125	7	.	.	PUNCT
ejpam-5737	126	1	ahsanullah	ahsanullah	PRON
ejpam-5737	127	1	[	[	X
ejpam-5737	127	2	31	31	NUM
ejpam-5737	127	3	]	]	PUNCT
ejpam-5737	127	4	evaluated	evaluate	VERB
ejpam-5737	127	5	the	the	DET
ejpam-5737	127	6	lo	lo	PROPN
ejpam-5737	127	7	’s	’s	PART
ejpam-5737	127	8	record	record	NOUN
ejpam-5737	127	9	values	value	NOUN
ejpam-5737	127	10	distribution	distribution	NOUN
ejpam-5737	127	11	.	.	PUNCT
ejpam-5737	128	1	balakrishnan	balakrishnan	PROPN
ejpam-5737	128	2	and	and	CCONJ
ejpam-5737	128	3	ahsanullah	ahsanullah	PRON
ejpam-5737	129	1	[	[	X
ejpam-5737	129	2	32	32	NUM
ejpam-5737	129	3	]	]	PUNCT
ejpam-5737	129	4	proposed	propose	VERB
ejpam-5737	129	5	some	some	DET
ejpam-5737	129	6	recurring	recur	VERB
ejpam-5737	129	7	linkages	linkage	NOUN
ejpam-5737	129	8	between	between	ADP
ejpam-5737	129	9	record	record	NOUN
ejpam-5737	129	10	value	value	NOUN
ejpam-5737	129	11	moments	moment	NOUN
ejpam-5737	129	12	from	from	ADP
ejpam-5737	129	13	the	the	DET
ejpam-5737	129	14	lo	lo	PROPN
ejpam-5737	129	15	distribution	distribution	NOUN
ejpam-5737	129	16	.	.	PUNCT
ejpam-5737	130	1	using	use	VERB
ejpam-5737	130	2	both	both	CCONJ
ejpam-5737	130	3	complete	complete	ADJ
ejpam-5737	130	4	and	and	CCONJ
ejpam-5737	130	5	censored	censored	ADJ
ejpam-5737	130	6	samples	sample	NOUN
ejpam-5737	130	7	,	,	PUNCT
ejpam-5737	130	8	a	a	DET
ejpam-5737	130	9	number	number	NOUN
ejpam-5737	130	10	of	of	ADP
ejpam-5737	130	11	authors	author	NOUN
ejpam-5737	130	12	have	have	AUX
ejpam-5737	130	13	tackled	tackle	VERB
ejpam-5737	130	14	inferential	inferential	ADJ
ejpam-5737	130	15	problems	problem	NOUN
ejpam-5737	130	16	for	for	ADP
ejpam-5737	130	17	the	the	DET
ejpam-5737	130	18	lo	lo	PROPN
ejpam-5737	130	19	distribution	distribution	NOUN
ejpam-5737	130	20	.	.	PUNCT
ejpam-5737	131	1	childs	child	VERB
ejpam-5737	131	2	et	et	PROPN
ejpam-5737	131	3	al	al	PROPN
ejpam-5737	131	4	.	.	PUNCT
ejpam-5737	132	1	[	[	X
ejpam-5737	132	2	33	33	NUM
ejpam-5737	132	3	]	]	PUNCT
ejpam-5737	132	4	have	have	AUX
ejpam-5737	132	5	looked	look	VERB
ejpam-5737	132	6	at	at	ADP
ejpam-5737	132	7	nonidentical	nonidentical	ADJ
ejpam-5737	132	8	right	right	ADV
ejpam-5737	132	9	-	-	PUNCT
ejpam-5737	132	10	truncated	truncate	VERB
ejpam-5737	132	11	lo	lo	PROPN
ejpam-5737	132	12	random	random	ADJ
ejpam-5737	132	13	variables	variable	NOUN
ejpam-5737	132	14	’	'	PUNCT
ejpam-5737	132	15	order	order	NOUN
ejpam-5737	132	16	statistics	statistic	NOUN
ejpam-5737	132	17	.	.	PUNCT
ejpam-5737	133	1	howlader	howlader	PROPN
ejpam-5737	133	2	and	and	CCONJ
ejpam-5737	133	3	hossain	hossain	PROPN
ejpam-5737	134	1	[	[	X
ejpam-5737	134	2	34	34	NUM
ejpam-5737	134	3	]	]	PUNCT
ejpam-5737	134	4	looked	look	VERB
ejpam-5737	134	5	at	at	ADP
ejpam-5737	134	6	bayesian	bayesian	NOUN
ejpam-5737	134	7	estimation	estimation	NOUN
ejpam-5737	134	8	of	of	ADP
ejpam-5737	134	9	the	the	DET
ejpam-5737	134	10	lo	lo	PROPN
ejpam-5737	134	11	distribution	distribution	NOUN
ejpam-5737	134	12	’s	’s	PART
ejpam-5737	134	13	survival	survival	NOUN
ejpam-5737	134	14	function	function	NOUN
ejpam-5737	134	15	.	.	PUNCT
ejpam-5737	135	1	ghitany	ghitany	PROPN
ejpam-5737	135	2	et	et	PROPN
ejpam-5737	135	3	al	al	PROPN
ejpam-5737	135	4	.	.	PUNCT
ejpam-5737	136	1	[	[	X
ejpam-5737	136	2	35	35	NUM
ejpam-5737	136	3	]	]	PUNCT
ejpam-5737	136	4	took	take	VERB
ejpam-5737	136	5	into	into	ADP
ejpam-5737	136	6	account	account	NOUN
ejpam-5737	136	7	the	the	DET
ejpam-5737	136	8	expanded	expand	VERB
ejpam-5737	136	9	lo	lo	NOUN
ejpam-5737	136	10	distribution	distribution	NOUN
ejpam-5737	136	11	and	and	CCONJ
ejpam-5737	136	12	marshall	marshall	NOUN
ejpam-5737	136	13	-	-	PUNCT
ejpam-5737	136	14	olkin	olkin	PROPN
ejpam-5737	136	15	method	method	NOUN
ejpam-5737	136	16	.	.	PUNCT
ejpam-5737	137	1	elfattah	elfattah	INTJ
ejpam-5737	137	2	et	et	PROPN
ejpam-5737	137	3	al	al	PROPN
ejpam-5737	137	4	.	.	PUNCT
ejpam-5737	138	1	[	[	X
ejpam-5737	138	2	36	36	NUM
ejpam-5737	138	3	]	]	PUNCT
ejpam-5737	138	4	used	use	VERB
ejpam-5737	138	5	the	the	DET
ejpam-5737	138	6	progressive	progressive	ADJ
ejpam-5737	138	7	type	type	NOUN
ejpam-5737	138	8	-	-	PUNCT
ejpam-5737	138	9	i	i	PRON
ejpam-5737	138	10	censoring	censor	VERB
ejpam-5737	138	11	using	use	VERB
ejpam-5737	138	12	the	the	DET
ejpam-5737	138	13	lo	lo	PROPN
ejpam-5737	138	14	distribution	distribution	NOUN
ejpam-5737	138	15	to	to	PART
ejpam-5737	138	16	determine	determine	VERB
ejpam-5737	138	17	the	the	DET
ejpam-5737	138	18	bayesian	bayesian	NOUN
ejpam-5737	138	19	and	and	CCONJ
ejpam-5737	138	20	non	non	ADJ
ejpam-5737	138	21	-	-	ADJ
ejpam-5737	138	22	baysian	baysian	ADJ
ejpam-5737	138	23	estimators	estimator	NOUN
ejpam-5737	138	24	for	for	ADP
ejpam-5737	138	25	the	the	DET
ejpam-5737	138	26	same	same	ADJ
ejpam-5737	138	27	sample	sample	NOUN
ejpam-5737	138	28	size	size	NOUN
ejpam-5737	138	29	.	.	PUNCT
ejpam-5737	139	1	ml	ml	NOUN
ejpam-5737	139	2	and	and	CCONJ
ejpam-5737	139	3	approximation	approximation	NOUN
ejpam-5737	139	4	ml	ml	NOUN
ejpam-5737	139	5	predictors	predictor	NOUN
ejpam-5737	139	6	derived	derive	VERB
ejpam-5737	139	7	from	from	ADP
ejpam-5737	139	8	the	the	DET
ejpam-5737	139	9	pareto	pareto	ADJ
ejpam-5737	139	10	distribution	distribution	NOUN
ejpam-5737	139	11	using	use	VERB
ejpam-5737	139	12	multistage	multistage	NOUN
ejpam-5737	139	13	progressive	progressive	ADJ
ejpam-5737	139	14	filtering	filtering	NOUN
ejpam-5737	139	15	,	,	PUNCT
ejpam-5737	139	16	as	as	ADV
ejpam-5737	139	17	well	well	ADV
ejpam-5737	139	18	as	as	ADP
ejpam-5737	139	19	best	good	ADJ
ejpam-5737	139	20	linear	linear	ADJ
ejpam-5737	139	21	unbiased	unbiased	ADJ
ejpam-5737	139	22	predictors	predictor	NOUN
ejpam-5737	139	23	,	,	PUNCT
ejpam-5737	139	24	were	be	AUX
ejpam-5737	139	25	among	among	ADP
ejpam-5737	139	26	the	the	DET
ejpam-5737	139	27	several	several	ADJ
ejpam-5737	139	28	failure	failure	NOUN
ejpam-5737	139	29	time	time	NOUN
ejpam-5737	139	30	predictors	predictor	NOUN
ejpam-5737	139	31	covered	cover	VERB
ejpam-5737	139	32	by	by	ADP
ejpam-5737	139	33	raqab	raqab	NOUN
ejpam-5737	139	34	et	et	PROPN
ejpam-5737	139	35	al	al	PROPN
ejpam-5737	139	36	.	.	PUNCT
ejpam-5737	140	1	[	[	X
ejpam-5737	140	2	37	37	NUM
ejpam-5737	140	3	]	]	PUNCT
ejpam-5737	140	4	.	.	PUNCT
ejpam-5737	141	1	using	use	VERB
ejpam-5737	141	2	progressive	progressive	ADJ
ejpam-5737	141	3	type	type	NOUN
ejpam-5737	141	4	-	-	PUNCT
ejpam-5737	141	5	ii	ii	NOUN
ejpam-5737	141	6	censoring	censoring	NOUN
ejpam-5737	141	7	,	,	PUNCT
ejpam-5737	141	8	the	the	DET
ejpam-5737	141	9	optimal	optimal	ADJ
ejpam-5737	141	10	censoring	censor	VERB
ejpam-5737	141	11	technique	technique	NOUN
ejpam-5737	141	12	for	for	ADP
ejpam-5737	141	13	determining	determine	VERB
ejpam-5737	141	14	the	the	DET
ejpam-5737	141	15	parameters	parameter	NOUN
ejpam-5737	141	16	of	of	ADP
ejpam-5737	141	17	the	the	DET
ejpam-5737	141	18	lo	lo	PROPN
ejpam-5737	141	19	distribution	distribution	NOUN
ejpam-5737	141	20	was	be	AUX
ejpam-5737	141	21	investigated	investigate	VERB
ejpam-5737	141	22	by	by	ADP
ejpam-5737	141	23	cramer	cramer	PROPN
ejpam-5737	141	24	and	and	CCONJ
ejpam-5737	141	25	schmiedt	schmiedt	NOUN
ejpam-5737	142	1	[	[	X
ejpam-5737	142	2	38	38	NUM
ejpam-5737	142	3	]	]	PUNCT
ejpam-5737	142	4	.	.	PUNCT
ejpam-5737	143	1	asgharzadeh	asgharzadeh	NOUN
ejpam-5737	143	2	and	and	CCONJ
ejpam-5737	143	3	valiollahi	valiollahi	NOUN
ejpam-5737	144	1	[	[	X
ejpam-5737	144	2	39	39	NUM
ejpam-5737	144	3	]	]	PUNCT
ejpam-5737	144	4	used	use	VERB
ejpam-5737	144	5	progressive	progressive	ADJ
ejpam-5737	144	6	type	type	NOUN
ejpam-5737	144	7	-	-	PUNCT
ejpam-5737	144	8	ii	ii	NOUN
ejpam-5737	144	9	censoring	censor	VERB
ejpam-5737	144	10	to	to	PART
ejpam-5737	144	11	create	create	VERB
ejpam-5737	144	12	the	the	DET
ejpam-5737	144	13	bayesian	bayesian	NOUN
ejpam-5737	144	14	estimator	estimator	NOUN
ejpam-5737	144	15	of	of	ADP
ejpam-5737	144	16	the	the	DET
ejpam-5737	144	17	scale	scale	NOUN
ejpam-5737	144	18	parameter	parameter	NOUN
ejpam-5737	144	19	of	of	ADP
ejpam-5737	144	20	the	the	DET
ejpam-5737	144	21	lo	lo	PROPN
ejpam-5737	144	22	distribution	distribution	NOUN
ejpam-5737	144	23	.	.	PUNCT
ejpam-5737	145	1	2.2	2.2	NUM
ejpam-5737	145	2	.	.	PUNCT
ejpam-5737	146	1	modeling	model	VERB
ejpam-5737	146	2	the	the	DET
ejpam-5737	146	3	famous	famous	ADJ
ejpam-5737	146	4	shannon	shannon	PROPN
ejpam-5737	146	5	information	information	NOUN
ejpam-5737	146	6	entropy	entropy	NOUN
ejpam-5737	146	7	is	be	AUX
ejpam-5737	146	8	defined	define	VERB
ejpam-5737	146	9	using	use	VERB
ejpam-5737	146	10	the	the	DET
ejpam-5737	146	11	first	first	ADJ
ejpam-5737	146	12	two	two	NUM
ejpam-5737	146	13	moments	moment	NOUN
ejpam-5737	146	14	of	of	ADP
ejpam-5737	146	15	a	a	DET
ejpam-5737	146	16	random	random	ADJ
ejpam-5737	146	17	variable	variable	NOUN
ejpam-5737	146	18	x	x	NOUN
ejpam-5737	146	19	,	,	PUNCT
ejpam-5737	146	20	as	as	SCONJ
ejpam-5737	146	21	follows	follow	VERB
ejpam-5737	146	22	:	:	PUNCT
ejpam-5737	146	23	h(f	h(f	NUM
ejpam-5737	146	24	)	)	PUNCT
ejpam-5737	147	1	=	=	SYM
ejpam-5737	147	2	h(x	h(x	PROPN
ejpam-5737	147	3	)	)	PUNCT
ejpam-5737	147	4	=	=	PUNCT
ejpam-5737	148	1	−	−	PROPN
ejpam-5737	148	2	∞∫	∞∫	PROPN
ejpam-5737	148	3	0	0	NUM
ejpam-5737	148	4	f(x	f(x	PROPN
ejpam-5737	148	5	)	)	PUNCT
ejpam-5737	148	6	log	log	NOUN
ejpam-5737	148	7	f(x)dx	f(x)dx	NUM
ejpam-5737	148	8	,	,	PUNCT
ejpam-5737	148	9	(	(	PUNCT
ejpam-5737	148	10	4	4	X
ejpam-5737	148	11	)	)	PUNCT
ejpam-5737	148	12	where	where	SCONJ
ejpam-5737	148	13	f(x	f(x	PROPN
ejpam-5737	148	14	)	)	PUNCT
ejpam-5737	148	15	is	be	AUX
ejpam-5737	148	16	the	the	DET
ejpam-5737	148	17	pdf	pdf	NOUN
ejpam-5737	148	18	of	of	ADP
ejpam-5737	148	19	a	a	DET
ejpam-5737	148	20	continuous	continuous	ADJ
ejpam-5737	148	21	random	random	ADJ
ejpam-5737	148	22	variable	variable	NOUN
ejpam-5737	148	23	x.	x.	NOUN
ejpam-5737	148	24	theorem	theorem	VERB
ejpam-5737	148	25	cdf	cdf	PROPN
ejpam-5737	148	26	requires	require	VERB
ejpam-5737	148	27	that	that	SCONJ
ejpam-5737	148	28	x	x	PRON
ejpam-5737	148	29	be	be	AUX
ejpam-5737	148	30	a	a	DET
ejpam-5737	148	31	random	random	ADJ
ejpam-5737	148	32	variable	variable	NOUN
ejpam-5737	148	33	,	,	PUNCT
ejpam-5737	148	34	its	its	PRON
ejpam-5737	148	35	entropy	entropy	NOUN
ejpam-5737	148	36	would	would	AUX
ejpam-5737	148	37	be	be	AUX
ejpam-5737	148	38	h(f	h(f	NOUN
ejpam-5737	148	39	)	)	PUNCT
ejpam-5737	149	1	=	=	SYM
ejpam-5737	149	2	(	(	PUNCT
ejpam-5737	149	3	β	β	X
ejpam-5737	149	4	+	+	X
ejpam-5737	149	5	1)[log(ξ	1)[log(ξ	NUM
ejpam-5737	149	6	)	)	PUNCT
ejpam-5737	150	1	+	+	CCONJ
ejpam-5737	150	2	1	1	NUM
ejpam-5737	150	3	β	β	X
ejpam-5737	150	4	]	]	X
ejpam-5737	150	5	−	−	PROPN
ejpam-5737	150	6	log(βξβ	log(βξβ	NOUN
ejpam-5737	150	7	)	)	PUNCT
ejpam-5737	150	8	.	.	PUNCT
ejpam-5737	151	1	(	(	PUNCT
ejpam-5737	151	2	5	5	X
ejpam-5737	151	3	)	)	PUNCT
ejpam-5737	151	4	proof	proof	NOUN
ejpam-5737	151	5	.	.	PUNCT
ejpam-5737	152	1	h(f	h(f	NOUN
ejpam-5737	152	2	)	)	PUNCT
ejpam-5737	153	1	=	=	SYM
ejpam-5737	154	1	−	−	PROPN
ejpam-5737	154	2	∞∫	∞∫	NOUN
ejpam-5737	154	3	0	0	NUM
ejpam-5737	154	4	β	β	X
ejpam-5737	154	5	ξβ(ξ	ξβ(ξ	NUM
ejpam-5737	154	6	+	+	CCONJ
ejpam-5737	154	7	x)−β−1[log(β	x)−β−1[log(β	NOUN
ejpam-5737	154	8	ξβ)−	ξβ)−	NOUN
ejpam-5737	154	9	(	(	PUNCT
ejpam-5737	154	10	β	β	X
ejpam-5737	154	11	+	+	NOUN
ejpam-5737	154	12	1	1	X
ejpam-5737	154	13	)	)	PUNCT
ejpam-5737	154	14	log(ξ	log(ξ	PROPN
ejpam-5737	154	15	+	+	NUM
ejpam-5737	154	16	x)]dx	x)]dx	PROPN
ejpam-5737	154	17	=	=	SYM
ejpam-5737	154	18	∞∫	∞∫	PROPN
ejpam-5737	154	19	0	0	PUNCT
ejpam-5737	155	1	β(β	β(β	PUNCT
ejpam-5737	155	2	+	+	NOUN
ejpam-5737	155	3	1	1	NUM
ejpam-5737	155	4	)	)	PUNCT
ejpam-5737	155	5	ξβ(ξ	ξβ(ξ	NUM
ejpam-5737	156	1	+	+	CCONJ
ejpam-5737	156	2	x)−β−1	x)−β−1	PROPN
ejpam-5737	156	3	log(ξ	log(ξ	PROPN
ejpam-5737	156	4	+	+	PROPN
ejpam-5737	156	5	x)dx−	x)dx−	PROPN
ejpam-5737	156	6	∞∫	∞∫	PROPN
ejpam-5737	156	7	0	0	NUM
ejpam-5737	157	1	β	β	NOUN
ejpam-5737	157	2	ξβ(ξ	ξβ(ξ	NUM
ejpam-5737	158	1	+	+	CCONJ
ejpam-5737	158	2	x)−β−1	x)−β−1	PROPN
ejpam-5737	159	1	log(β	log(β	PROPN
ejpam-5737	159	2	ξβ)dx	ξβ)dx	NUM
ejpam-5737	159	3	s.	s.	PROPN
ejpam-5737	159	4	m.	m.	PROPN
ejpam-5737	159	5	ahmed	ahmed	PROPN
ejpam-5737	159	6	,	,	PUNCT
ejpam-5737	159	7	g.	g.	PROPN
ejpam-5737	159	8	m.	m.	PROPN
ejpam-5737	159	9	ismail	ismail	PROPN
ejpam-5737	159	10	/	/	SYM
ejpam-5737	159	11	eur	eur	PROPN
ejpam-5737	159	12	.	.	PUNCT
ejpam-5737	160	1	j.	j.	PROPN
ejpam-5737	160	2	pure	pure	PROPN
ejpam-5737	160	3	appl	appl	PROPN
ejpam-5737	160	4	.	.	PROPN
ejpam-5737	160	5	math	math	PROPN
ejpam-5737	160	6	,	,	PUNCT
ejpam-5737	160	7	18	18	NUM
ejpam-5737	160	8	(	(	PUNCT
ejpam-5737	160	9	1	1	NUM
ejpam-5737	160	10	)	)	PUNCT
ejpam-5737	160	11	(	(	PUNCT
ejpam-5737	160	12	2025	2025	NUM
ejpam-5737	160	13	)	)	PUNCT
ejpam-5737	160	14	,	,	PUNCT
ejpam-5737	160	15	5737	5737	NUM
ejpam-5737	160	16	6	6	NUM
ejpam-5737	160	17	of	of	ADP
ejpam-5737	160	18	22	22	NUM
ejpam-5737	160	19	=	=	SYM
ejpam-5737	160	20	(	(	PUNCT
ejpam-5737	160	21	β	β	X
ejpam-5737	160	22	+	+	X
ejpam-5737	160	23	1)[log(ξ	1)[log(ξ	NUM
ejpam-5737	160	24	)	)	PUNCT
ejpam-5737	161	1	+	+	CCONJ
ejpam-5737	161	2	1	1	NUM
ejpam-5737	161	3	β	β	NOUN
ejpam-5737	161	4	]	]	X
ejpam-5737	161	5	−	−	PROPN
ejpam-5737	162	1	log(β	log(β	PROPN
ejpam-5737	162	2	ξβ	ξβ	NOUN
ejpam-5737	162	3	)	)	PUNCT
ejpam-5737	162	4	,	,	PUNCT
ejpam-5737	162	5	(	(	PUNCT
ejpam-5737	162	6	6	6	X
ejpam-5737	162	7	)	)	PUNCT
ejpam-5737	163	1	where	where	SCONJ
ejpam-5737	163	2	∞∫	∞∫	NOUN
ejpam-5737	163	3	0	0	NUM
ejpam-5737	163	4	β	β	X
ejpam-5737	163	5	ξβ(ξ	ξβ(ξ	NUM
ejpam-5737	164	1	+	+	CCONJ
ejpam-5737	164	2	x)−β−1	x)−β−1	PROPN
ejpam-5737	164	3	log(β	log(β	PROPN
ejpam-5737	164	4	ξβ)dx	ξβ)dx	NUM
ejpam-5737	164	5	=	=	SYM
ejpam-5737	164	6	∞∫	∞∫	PROPN
ejpam-5737	164	7	0	0	NUM
ejpam-5737	164	8	f(x	f(x	PROPN
ejpam-5737	164	9	)	)	PUNCT
ejpam-5737	165	1	log(β	log(β	PROPN
ejpam-5737	165	2	ξβ)dx	ξβ)dx	NUM
ejpam-5737	166	1	=	=	SYM
ejpam-5737	166	2	log(β	log(β	NUM
ejpam-5737	166	3	ξβ	ξβ	NOUN
ejpam-5737	166	4	)	)	PUNCT
ejpam-5737	166	5	.	.	PUNCT
ejpam-5737	167	1	(	(	PUNCT
ejpam-5737	167	2	7	7	X
ejpam-5737	167	3	)	)	PUNCT
ejpam-5737	167	4	using	use	VERB
ejpam-5737	167	5	integration	integration	NOUN
ejpam-5737	167	6	by	by	ADP
ejpam-5737	167	7	parts	part	NOUN
ejpam-5737	167	8	,	,	PUNCT
ejpam-5737	167	9	we	we	PRON
ejpam-5737	167	10	have	have	VERB
ejpam-5737	167	11	:	:	PUNCT
ejpam-5737	167	12	∞∫	∞∫	NOUN
ejpam-5737	167	13	0	0	PUNCT
ejpam-5737	168	1	β(β	β(β	PUNCT
ejpam-5737	168	2	+	+	NOUN
ejpam-5737	168	3	1	1	NUM
ejpam-5737	168	4	)	)	PUNCT
ejpam-5737	168	5	ξβ(ξ	ξβ(ξ	NUM
ejpam-5737	169	1	+	+	CCONJ
ejpam-5737	169	2	x)−(β+1	x)−(β+1	X
ejpam-5737	169	3	)	)	PUNCT
ejpam-5737	170	1	log(ξ	log(ξ	PROPN
ejpam-5737	170	2	+	+	CCONJ
ejpam-5737	170	3	x)dx	x)dx	PROPN
ejpam-5737	170	4	=	=	SYM
ejpam-5737	170	5	(	(	PUNCT
ejpam-5737	170	6	β	β	X
ejpam-5737	170	7	+	+	NOUN
ejpam-5737	170	8	1	1	X
ejpam-5737	170	9	)	)	PUNCT
ejpam-5737	170	10	log(ξ	log(ξ	PROPN
ejpam-5737	170	11	)	)	PUNCT
ejpam-5737	171	1	+	+	CCONJ
ejpam-5737	171	2	∞∫	∞∫	NOUN
ejpam-5737	171	3	0	0	NUM
ejpam-5737	172	1	(	(	PUNCT
ejpam-5737	172	2	β	β	X
ejpam-5737	172	3	+	+	NOUN
ejpam-5737	172	4	1	1	NUM
ejpam-5737	172	5	)	)	PUNCT
ejpam-5737	172	6	ξβ(ξ	ξβ(ξ	NUM
ejpam-5737	173	1	+	+	CCONJ
ejpam-5737	173	2	x)−(β+1)dx	x)−(β+1)dx	NOUN
ejpam-5737	173	3	=	=	SYM
ejpam-5737	173	4	(	(	PUNCT
ejpam-5737	173	5	β	β	X
ejpam-5737	173	6	+	+	NOUN
ejpam-5737	173	7	1	1	X
ejpam-5737	173	8	)	)	PUNCT
ejpam-5737	173	9	log(ξ	log(ξ	PROPN
ejpam-5737	173	10	)	)	PUNCT
ejpam-5737	174	1	+	+	CCONJ
ejpam-5737	174	2	∞∫	∞∫	NOUN
ejpam-5737	174	3	0	0	NUM
ejpam-5737	175	1	(	(	PUNCT
ejpam-5737	175	2	β	β	X
ejpam-5737	175	3	+	+	NOUN
ejpam-5737	175	4	1	1	X
ejpam-5737	175	5	)	)	PUNCT
ejpam-5737	175	6	β	β	NOUN
ejpam-5737	175	7	f(x)dx	f(x)dx	NOUN
ejpam-5737	175	8	=	=	PUNCT
ejpam-5737	175	9	(	(	PUNCT
ejpam-5737	175	10	β	β	X
ejpam-5737	175	11	+	+	NOUN
ejpam-5737	175	12	1	1	X
ejpam-5737	175	13	)	)	PUNCT
ejpam-5737	175	14	log(ξ	log(ξ	PROPN
ejpam-5737	175	15	)	)	PUNCT
ejpam-5737	176	1	+	+	CCONJ
ejpam-5737	176	2	(	(	PUNCT
ejpam-5737	176	3	β	β	X
ejpam-5737	176	4	+	+	NOUN
ejpam-5737	176	5	1	1	X
ejpam-5737	176	6	)	)	PUNCT
ejpam-5737	176	7	β	β	NOUN
ejpam-5737	176	8	=	=	SYM
ejpam-5737	176	9	(	(	PUNCT
ejpam-5737	176	10	β	β	X
ejpam-5737	176	11	+	+	X
ejpam-5737	176	12	1)[log(ξ	1)[log(ξ	NUM
ejpam-5737	176	13	)	)	PUNCT
ejpam-5737	177	1	+	+	CCONJ
ejpam-5737	177	2	1	1	NUM
ejpam-5737	177	3	β	β	X
ejpam-5737	177	4	]	]	PUNCT
ejpam-5737	177	5	.	.	PUNCT
ejpam-5737	178	1	(	(	PUNCT
ejpam-5737	178	2	8)	8)	NUM
ejpam-5737	178	3	consequently	consequently	ADV
ejpam-5737	178	4	,	,	PUNCT
ejpam-5737	178	5	the	the	DET
ejpam-5737	178	6	following	follow	VERB
ejpam-5737	178	7	expression	expression	NOUN
ejpam-5737	178	8	must	must	AUX
ejpam-5737	178	9	be	be	AUX
ejpam-5737	178	10	used	use	VERB
ejpam-5737	178	11	to	to	PART
ejpam-5737	178	12	represent	represent	VERB
ejpam-5737	178	13	the	the	DET
ejpam-5737	178	14	shannon	shannon	PROPN
ejpam-5737	178	15	entropy	entropy	PROPN
ejpam-5737	178	16	of	of	ADP
ejpam-5737	178	17	the	the	DET
ejpam-5737	178	18	lo	lo	PROPN
ejpam-5737	178	19	distribution	distribution	NOUN
ejpam-5737	178	20	,	,	PUNCT
ejpam-5737	178	21	which	which	PRON
ejpam-5737	178	22	depends	depend	VERB
ejpam-5737	178	23	on	on	ADP
ejpam-5737	178	24	the	the	DET
ejpam-5737	178	25	parameters	parameter	NOUN
ejpam-5737	178	26	β	β	X
ejpam-5737	178	27	and	and	CCONJ
ejpam-5737	178	28	ξ	ξ	PROPN
ejpam-5737	178	29	.	.	PUNCT
ejpam-5737	178	30	h(f	h(f	NOUN
ejpam-5737	178	31	)	)	PUNCT
ejpam-5737	179	1	=	=	PRON
ejpam-5737	179	2	(	(	PUNCT
ejpam-5737	179	3	β	β	X
ejpam-5737	179	4	+	+	X
ejpam-5737	179	5	1)[log(ξ	1)[log(ξ	NUM
ejpam-5737	179	6	)	)	PUNCT
ejpam-5737	180	1	+	+	CCONJ
ejpam-5737	180	2	1	1	NUM
ejpam-5737	180	3	β	β	NOUN
ejpam-5737	180	4	]	]	X
ejpam-5737	180	5	−	−	PROPN
ejpam-5737	181	1	log(β	log(β	PROPN
ejpam-5737	181	2	ξβ	ξβ	NOUN
ejpam-5737	181	3	)	)	PUNCT
ejpam-5737	181	4	.	.	PUNCT
ejpam-5737	182	1	(	(	PUNCT
ejpam-5737	182	2	9	9	X
ejpam-5737	182	3	)	)	PUNCT
ejpam-5737	182	4	2.3	2.3	NUM
ejpam-5737	182	5	.	.	PUNCT
ejpam-5737	183	1	point	point	NOUN
ejpam-5737	183	2	estimation	estimation	NOUN
ejpam-5737	183	3	2.3.1	2.3.1	NUM
ejpam-5737	183	4	.	.	PUNCT
ejpam-5737	183	5	entropy	entropy	PROPN
ejpam-5737	183	6	maximum	maximum	PROPN
ejpam-5737	183	7	likelihood	likelihood	PROPN
ejpam-5737	183	8	estimator	estimator	NOUN
ejpam-5737	183	9	to	to	PART
ejpam-5737	183	10	determine	determine	VERB
ejpam-5737	183	11	the	the	DET
ejpam-5737	183	12	point	point	NOUN
ejpam-5737	183	13	estimation	estimation	NOUN
ejpam-5737	183	14	,	,	PUNCT
ejpam-5737	183	15	for	for	ADP
ejpam-5737	183	16	the	the	DET
ejpam-5737	183	17	lo	lo	PROPN
ejpam-5737	183	18	distribution	distribution	NOUN
ejpam-5737	183	19	,	,	PUNCT
ejpam-5737	183	20	let	let	VERB
ejpam-5737	183	21	x	x	PUNCT
ejpam-5737	183	22	=	=	PRON
ejpam-5737	183	23	(	(	PUNCT
ejpam-5737	183	24	x1	x1	NOUN
ejpam-5737	183	25	:	:	PUNCT
ejpam-5737	183	26	r	r	NOUN
ejpam-5737	183	27	:	:	PUNCT
ejpam-5737	183	28	n	n	ADP
ejpam-5737	183	29	<	<	X
ejpam-5737	183	30	x2	x2	X
ejpam-5737	183	31	:	:	PUNCT
ejpam-5737	183	32	r	r	NOUN
ejpam-5737	183	33	:	:	PUNCT
ejpam-5737	183	34	n	n	X
ejpam-5737	183	35	<	<	X
ejpam-5737	183	36	...	...	PUNCT
ejpam-5737	184	1	<	<	X
ejpam-5737	184	2	xr	xr	PROPN
ejpam-5737	184	3	:	:	PUNCT
ejpam-5737	184	4	r	r	NOUN
ejpam-5737	184	5	:	:	PUNCT
ejpam-5737	184	6	n	n	CCONJ
ejpam-5737	184	7	)	)	PUNCT
ejpam-5737	184	8	be	be	AUX
ejpam-5737	184	9	an	an	DET
ejpam-5737	184	10	adaptive	adaptive	ADJ
ejpam-5737	184	11	type	type	NOUN
ejpam-5737	184	12	-	-	PUNCT
ejpam-5737	184	13	ii	ii	NOUN
ejpam-5737	184	14	progressive	progressive	ADJ
ejpam-5737	184	15	censored	censor	VERB
ejpam-5737	184	16	order	order	NOUN
ejpam-5737	184	17	statistic	statistic	NOUN
ejpam-5737	184	18	.	.	PUNCT
ejpam-5737	185	1	the	the	DET
ejpam-5737	185	2	likelihood	likelihood	NOUN
ejpam-5737	185	3	function	function	NOUN
ejpam-5737	185	4	is	be	AUX
ejpam-5737	185	5	provided	provide	VERB
ejpam-5737	185	6	by	by	ADP
ejpam-5737	185	7	eqs	eqs	PROPN
ejpam-5737	185	8	.	.	PUNCT
ejpam-5737	186	1	(	(	PUNCT
ejpam-5737	186	2	1	1	NUM
ejpam-5737	186	3	)	)	PUNCT
ejpam-5737	186	4	,	,	PUNCT
ejpam-5737	186	5	(	(	PUNCT
ejpam-5737	186	6	2	2	NUM
ejpam-5737	186	7	)	)	PUNCT
ejpam-5737	186	8	,	,	PUNCT
ejpam-5737	186	9	and	and	CCONJ
ejpam-5737	186	10	(	(	PUNCT
ejpam-5737	186	11	3	3	NUM
ejpam-5737	186	12	)	)	PUNCT
ejpam-5737	186	13	,	,	PUNCT
ejpam-5737	186	14	which	which	PRON
ejpam-5737	186	15	is	be	AUX
ejpam-5737	186	16	ℓ	ℓ	PROPN
ejpam-5737	186	17	(	(	PUNCT
ejpam-5737	186	18	β	β	X
ejpam-5737	186	19	,	,	PUNCT
ejpam-5737	186	20	ξ	ξ	PROPN
ejpam-5737	186	21	|	|	NOUN
ejpam-5737	186	22	x	x	NOUN
ejpam-5737	186	23	)	)	PUNCT
ejpam-5737	187	1	=	=	SYM
ejpam-5737	187	2	r∏	r∏	NOUN
ejpam-5737	187	3	i=1	i=1	X
ejpam-5737	188	1	β	β	X
ejpam-5737	188	2	ξβ(ξ	ξβ(ξ	NUM
ejpam-5737	188	3	+	+	SYM
ejpam-5737	188	4	xi	xi	PROPN
ejpam-5737	188	5	)	)	PUNCT
ejpam-5737	188	6	−β−1	−β−1	NUM
ejpam-5737	188	7	×	×	NOUN
ejpam-5737	188	8	j∏	j∏	PROPN
ejpam-5737	188	9	i=1	i=1	PROPN
ejpam-5737	189	1	(	(	PUNCT
ejpam-5737	189	2	ξβ(ξ	ξβ(ξ	NUM
ejpam-5737	189	3	+	+	NUM
ejpam-5737	189	4	xi	xi	X
ejpam-5737	189	5	)	)	PUNCT
ejpam-5737	189	6	−β	−β	NOUN
ejpam-5737	189	7	)	)	PUNCT
ejpam-5737	189	8	ri	ri	PROPN
ejpam-5737	189	9	×	×	NOUN
ejpam-5737	189	10	(	(	PUNCT
ejpam-5737	189	11	ξβ(ξ	ξβ(ξ	NUM
ejpam-5737	189	12	+	+	NUM
ejpam-5737	189	13	xr	xr	PROPN
ejpam-5737	189	14	)	)	PUNCT
ejpam-5737	189	15	−β	−β	NOUN
ejpam-5737	189	16	)	)	PUNCT
ejpam-5737	189	17	r∗	r∗	PROPN
ejpam-5737	189	18	r	r	NOUN
ejpam-5737	189	19	,	,	PUNCT
ejpam-5737	189	20	(	(	PUNCT
ejpam-5737	189	21	10	10	NUM
ejpam-5737	189	22	)	)	PUNCT
ejpam-5737	190	1	where	where	SCONJ
ejpam-5737	190	2	,	,	PUNCT
ejpam-5737	190	3	r∗	r∗	PROPN
ejpam-5737	190	4	r	r	NOUN
ejpam-5737	190	5	=	=	PUNCT
ejpam-5737	190	6	n−	n−	NOUN
ejpam-5737	190	7	r	r	NOUN
ejpam-5737	191	1	−	−	NOUN
ejpam-5737	191	2	j∑	j∑	PROPN
ejpam-5737	191	3	i=1	i=1	PROPN
ejpam-5737	191	4	ri	ri	PROPN
ejpam-5737	191	5	,	,	PUNCT
ejpam-5737	191	6	i	i	PRON
ejpam-5737	191	7	=	=	NOUN
ejpam-5737	191	8	1	1	NUM
ejpam-5737	191	9	,	,	PUNCT
ejpam-5737	191	10	2	2	NUM
ejpam-5737	191	11	,	,	PUNCT
ejpam-5737	191	12	...	...	PUNCT
ejpam-5737	191	13	,	,	PUNCT
ejpam-5737	191	14	r.	r.	PROPN
ejpam-5737	191	15	(	(	PUNCT
ejpam-5737	191	16	11	11	NUM
ejpam-5737	191	17	)	)	PUNCT
ejpam-5737	191	18	this	this	PRON
ejpam-5737	191	19	allows	allow	VERB
ejpam-5737	191	20	us	we	PRON
ejpam-5737	191	21	to	to	PART
ejpam-5737	191	22	express	express	VERB
ejpam-5737	191	23	the	the	DET
ejpam-5737	191	24	likelihood	likelihood	NOUN
ejpam-5737	191	25	function	function	NOUN
ejpam-5737	191	26	’s	’s	PART
ejpam-5737	191	27	logarithm	logarithm	NOUN
ejpam-5737	191	28	as	as	ADP
ejpam-5737	191	29	l	l	PROPN
ejpam-5737	191	30	(	(	PUNCT
ejpam-5737	191	31	β	β	X
ejpam-5737	191	32	,	,	PUNCT
ejpam-5737	191	33	ξ	ξ	PROPN
ejpam-5737	191	34	|	|	NOUN
ejpam-5737	191	35	x	x	NOUN
ejpam-5737	191	36	)	)	PUNCT
ejpam-5737	192	1	=	=	SYM
ejpam-5737	192	2	r	r	NOUN
ejpam-5737	192	3	log	log	NOUN
ejpam-5737	192	4	β	β	X
ejpam-5737	192	5	+	+	X
ejpam-5737	193	1	(	(	PUNCT
ejpam-5737	193	2	r	r	NOUN
ejpam-5737	193	3	+	+	CCONJ
ejpam-5737	194	1	j∑	j∑	PROPN
ejpam-5737	195	1	i=1	i=1	PROPN
ejpam-5737	196	1	ri)β	ri)β	PROPN
ejpam-5737	196	2	log	log	NOUN
ejpam-5737	197	1	ξ	ξ	X
ejpam-5737	197	2	−	−	PROPN
ejpam-5737	198	1	(	(	PUNCT
ejpam-5737	198	2	β	β	X
ejpam-5737	198	3	+	+	NOUN
ejpam-5737	198	4	1	1	X
ejpam-5737	198	5	)	)	PUNCT
ejpam-5737	198	6	r∑	r∑	NOUN
ejpam-5737	198	7	i=1	i=1	X
ejpam-5737	199	1	log(ξ	log(ξ	PROPN
ejpam-5737	199	2	+	+	CCONJ
ejpam-5737	199	3	xi	xi	PROPN
ejpam-5737	199	4	)	)	PUNCT
ejpam-5737	199	5	s.	s.	PROPN
ejpam-5737	199	6	m.	m.	PROPN
ejpam-5737	199	7	ahmed	ahmed	PROPN
ejpam-5737	199	8	,	,	PUNCT
ejpam-5737	199	9	g.	g.	PROPN
ejpam-5737	199	10	m.	m.	PROPN
ejpam-5737	199	11	ismail	ismail	PROPN
ejpam-5737	199	12	/	/	SYM
ejpam-5737	199	13	eur	eur	PROPN
ejpam-5737	199	14	.	.	PUNCT
ejpam-5737	200	1	j.	j.	PROPN
ejpam-5737	200	2	pure	pure	PROPN
ejpam-5737	200	3	appl	appl	PROPN
ejpam-5737	200	4	.	.	PROPN
ejpam-5737	200	5	math	math	PROPN
ejpam-5737	200	6	,	,	PUNCT
ejpam-5737	200	7	18	18	NUM
ejpam-5737	200	8	(	(	PUNCT
ejpam-5737	200	9	1	1	NUM
ejpam-5737	200	10	)	)	PUNCT
ejpam-5737	200	11	(	(	PUNCT
ejpam-5737	200	12	2025	2025	NUM
ejpam-5737	200	13	)	)	PUNCT
ejpam-5737	200	14	,	,	PUNCT
ejpam-5737	200	15	5737	5737	NUM
ejpam-5737	200	16	7	7	NUM
ejpam-5737	200	17	of	of	ADP
ejpam-5737	200	18	22	22	NUM
ejpam-5737	200	19	−	−	NOUN
ejpam-5737	200	20	β	β	NOUN
ejpam-5737	200	21	j∑	j∑	PROPN
ejpam-5737	200	22	i=1	i=1	PROPN
ejpam-5737	201	1	ri	ri	PROPN
ejpam-5737	202	1	log(ξ	log(ξ	PROPN
ejpam-5737	202	2	+	+	PROPN
ejpam-5737	202	3	xi)−	xi)−	ADJ
ejpam-5737	202	4	βr∗	βr∗	X
ejpam-5737	203	1	r	r	NOUN
ejpam-5737	203	2	log(ξ	log(ξ	PROPN
ejpam-5737	203	3	+	+	PROPN
ejpam-5737	203	4	xr	xr	PROPN
ejpam-5737	203	5	)	)	PUNCT
ejpam-5737	203	6	.	.	PUNCT
ejpam-5737	204	1	(	(	PUNCT
ejpam-5737	204	2	12	12	NUM
ejpam-5737	204	3	)	)	PUNCT
ejpam-5737	204	4	the	the	DET
ejpam-5737	204	5	likelihood	likelihood	NOUN
ejpam-5737	204	6	formulas	formula	NOUN
ejpam-5737	204	7	are	be	AUX
ejpam-5737	204	8	computed	compute	VERB
ejpam-5737	204	9	as	as	ADP
ejpam-5737	204	10	∂l	∂l	PROPN
ejpam-5737	204	11	(	(	PUNCT
ejpam-5737	204	12	β	β	X
ejpam-5737	204	13	,	,	PUNCT
ejpam-5737	204	14	ξ	ξ	PROPN
ejpam-5737	204	15	|	|	NOUN
ejpam-5737	204	16	x	x	NOUN
ejpam-5737	204	17	)	)	PUNCT
ejpam-5737	205	1	∂β	∂β	PROPN
ejpam-5737	206	1	=	=	SYM
ejpam-5737	206	2	r	r	NOUN
ejpam-5737	206	3	β	β	X
ejpam-5737	206	4	+	+	ADJ
ejpam-5737	206	5	(	(	PUNCT
ejpam-5737	206	6	r+	r+	NOUN
ejpam-5737	206	7	j∑	j∑	PROPN
ejpam-5737	206	8	i=1	i=1	PROPN
ejpam-5737	206	9	ri	ri	PROPN
ejpam-5737	206	10	)	)	PUNCT
ejpam-5737	206	11	log	log	VERB
ejpam-5737	206	12	ξ	ξ	X
ejpam-5737	207	1	−	−	NOUN
ejpam-5737	207	2	r∑	r∑	NOUN
ejpam-5737	207	3	i=1	i=1	PROPN
ejpam-5737	207	4	log(ξ+xi)−	log(ξ+xi)−	NOUN
ejpam-5737	207	5	j∑	j∑	PROPN
ejpam-5737	207	6	i=1	i=1	PROPN
ejpam-5737	207	7	ri	ri	PROPN
ejpam-5737	207	8	log(ξ+xi)−r∗	log(ξ+xi)−r∗	NOUN
ejpam-5737	207	9	r	r	NOUN
ejpam-5737	207	10	log(ξ+xr	log(ξ+xr	NOUN
ejpam-5737	207	11	)	)	PUNCT
ejpam-5737	208	1	=	=	SYM
ejpam-5737	208	2	0	0	NUM
ejpam-5737	208	3	,	,	PUNCT
ejpam-5737	208	4	(	(	PUNCT
ejpam-5737	208	5	13	13	NUM
ejpam-5737	208	6	)	)	PUNCT
ejpam-5737	208	7	∂l	∂l	NOUN
ejpam-5737	208	8	(	(	PUNCT
ejpam-5737	208	9	β	β	X
ejpam-5737	208	10	,	,	PUNCT
ejpam-5737	208	11	ξ	ξ	PROPN
ejpam-5737	208	12	|	|	NOUN
ejpam-5737	208	13	x	x	NOUN
ejpam-5737	208	14	)	)	PUNCT
ejpam-5737	209	1	∂ξ	∂ξ	NOUN
ejpam-5737	209	2	=	=	PUNCT
ejpam-5737	210	1	(	(	PUNCT
ejpam-5737	210	2	r	r	NOUN
ejpam-5737	210	3	+	+	CCONJ
ejpam-5737	211	1	j∑	j∑	PROPN
ejpam-5737	211	2	i=1	i=1	PROPN
ejpam-5737	211	3	ri)β	ri)β	PROPN
ejpam-5737	211	4	ξ	ξ	PROPN
ejpam-5737	211	5	−(β+1	−(β+1	NOUN
ejpam-5737	211	6	)	)	PUNCT
ejpam-5737	211	7	r∑	r∑	NOUN
ejpam-5737	211	8	i=1	i=1	PROPN
ejpam-5737	211	9	1	1	NUM
ejpam-5737	211	10	(	(	PUNCT
ejpam-5737	211	11	ξ	ξ	PROPN
ejpam-5737	211	12	+	+	NUM
ejpam-5737	211	13	xi	xi	X
ejpam-5737	211	14	)	)	PUNCT
ejpam-5737	212	1	−β	−β	PROPN
ejpam-5737	212	2	j∑	j∑	PROPN
ejpam-5737	212	3	i=1	i=1	PROPN
ejpam-5737	212	4	ri	ri	PROPN
ejpam-5737	212	5	(	(	PUNCT
ejpam-5737	212	6	ξ	ξ	PROPN
ejpam-5737	212	7	+	+	NUM
ejpam-5737	212	8	xi	xi	X
ejpam-5737	212	9	)	)	PUNCT
ejpam-5737	212	10	−β	−β	PROPN
ejpam-5737	212	11	r∗	r∗	PROPN
ejpam-5737	212	12	r	r	NOUN
ejpam-5737	212	13	(	(	PUNCT
ejpam-5737	212	14	ξ	ξ	PROPN
ejpam-5737	212	15	+	+	X
ejpam-5737	212	16	xr	xr	X
ejpam-5737	212	17	)	)	PUNCT
ejpam-5737	212	18	=	=	SYM
ejpam-5737	212	19	0	0	NUM
ejpam-5737	212	20	,	,	PUNCT
ejpam-5737	212	21	(	(	PUNCT
ejpam-5737	212	22	14	14	NUM
ejpam-5737	212	23	)	)	PUNCT
ejpam-5737	212	24	the	the	DET
ejpam-5737	212	25	nonlinear	nonlinear	PROPN
ejpam-5737	212	26	eqs	eqs	PROPN
ejpam-5737	212	27	.	.	PUNCT
ejpam-5737	213	1	(	(	PUNCT
ejpam-5737	213	2	13	13	NUM
ejpam-5737	213	3	)	)	PUNCT
ejpam-5737	213	4	and	and	CCONJ
ejpam-5737	213	5	(	(	PUNCT
ejpam-5737	213	6	14	14	NUM
ejpam-5737	213	7	)	)	PUNCT
ejpam-5737	213	8	newton	newton	PROPN
ejpam-5737	213	9	’s	’s	PART
ejpam-5737	213	10	method	method	NOUN
ejpam-5737	213	11	can	can	AUX
ejpam-5737	213	12	be	be	AUX
ejpam-5737	213	13	used	use	VERB
ejpam-5737	213	14	to	to	PART
ejpam-5737	213	15	numerically	numerically	ADV
ejpam-5737	213	16	solve	solve	VERB
ejpam-5737	213	17	it	it	PRON
ejpam-5737	213	18	and	and	CCONJ
ejpam-5737	213	19	find	find	VERB
ejpam-5737	213	20	the	the	DET
ejpam-5737	213	21	parameters	parameter	NOUN
ejpam-5737	213	22	’	’	PART
ejpam-5737	213	23	mles	mle	NOUN
ejpam-5737	213	24	β	β	X
ejpam-5737	213	25	and	and	CCONJ
ejpam-5737	213	26	ξ	ξ	PROPN
ejpam-5737	213	27	.	.	PUNCT
ejpam-5737	214	1	thus	thus	ADV
ejpam-5737	214	2	,	,	PUNCT
ejpam-5737	214	3	the	the	DET
ejpam-5737	214	4	mle	mle	NOUN
ejpam-5737	214	5	of	of	ADP
ejpam-5737	214	6	h(f	h(f	PROPN
ejpam-5737	214	7	)	)	PUNCT
ejpam-5737	214	8	equals	equal	VERB
ejpam-5737	214	9	ĥ(f	ĥ(f	NOUN
ejpam-5737	214	10	)	)	PUNCT
ejpam-5737	214	11	=	=	PUNCT
ejpam-5737	214	12	−	−	PROPN
ejpam-5737	214	13	log(β̂	log(β̂	NOUN
ejpam-5737	214	14	ξ̂β̂	ξ̂β̂	NOUN
ejpam-5737	214	15	)	)	PUNCT
ejpam-5737	214	16	+	+	CCONJ
ejpam-5737	214	17	(	(	PUNCT
ejpam-5737	214	18	β̂	β̂	ADP
ejpam-5737	215	1	+	+	SYM
ejpam-5737	215	2	1)[log(ξ̂	1)[log(ξ̂	NUM
ejpam-5737	215	3	)	)	PUNCT
ejpam-5737	216	1	+	+	CCONJ
ejpam-5737	216	2	1	1	NUM
ejpam-5737	216	3	β̂	β̂	ADP
ejpam-5737	216	4	]	]	PUNCT
ejpam-5737	216	5	,	,	PUNCT
ejpam-5737	216	6	(	(	PUNCT
ejpam-5737	216	7	15	15	NUM
ejpam-5737	216	8	)	)	PUNCT
ejpam-5737	216	9	where	where	SCONJ
ejpam-5737	216	10	ĥ(f	ĥ(f	NOUN
ejpam-5737	216	11	)	)	PUNCT
ejpam-5737	216	12	as	as	SCONJ
ejpam-5737	216	13	given	give	VERB
ejpam-5737	216	14	in	in	ADP
ejpam-5737	216	15	eq	eq	ADP
ejpam-5737	216	16	.	.	PUNCT
ejpam-5737	216	17	(	(	PUNCT
ejpam-5737	216	18	5	5	NUM
ejpam-5737	216	19	)	)	PUNCT
ejpam-5737	216	20	after	after	ADP
ejpam-5737	216	21	replacing	replace	VERB
ejpam-5737	216	22	β	β	PRON
ejpam-5737	216	23	and	and	CCONJ
ejpam-5737	216	24	ξ	ξ	X
ejpam-5737	216	25	by	by	ADP
ejpam-5737	216	26	β̂	β̂	ADP
ejpam-5737	216	27	and	and	CCONJ
ejpam-5737	216	28	ξ̂	ξ̂	NOUN
ejpam-5737	216	29	,	,	PUNCT
ejpam-5737	216	30	respectively	respectively	ADV
ejpam-5737	216	31	.	.	PUNCT
ejpam-5737	217	1	2.3.2	2.3.2	X
ejpam-5737	217	2	.	.	X
ejpam-5737	217	3	entropy	entropy	PROPN
ejpam-5737	217	4	bayes	bayes	PROPN
ejpam-5737	217	5	estimations	estimation	NOUN
ejpam-5737	217	6	using	use	VERB
ejpam-5737	217	7	markov	markov	NOUN
ejpam-5737	217	8	chain	chain	NOUN
ejpam-5737	217	9	monte	monte	PROPN
ejpam-5737	217	10	carlo	carlo	PROPN
ejpam-5737	217	11	this	this	DET
ejpam-5737	217	12	paper	paper	NOUN
ejpam-5737	217	13	with	with	ADP
ejpam-5737	217	14	using	use	VERB
ejpam-5737	217	15	an	an	DET
ejpam-5737	217	16	adaptive	adaptive	ADJ
ejpam-5737	217	17	progressive	progressive	ADJ
ejpam-5737	217	18	type	type	NOUN
ejpam-5737	217	19	-	-	PUNCT
ejpam-5737	217	20	ii	ii	NOUN
ejpam-5737	217	21	censored	censor	VERB
ejpam-5737	217	22	data	datum	NOUN
ejpam-5737	217	23	computes	compute	VERB
ejpam-5737	217	24	the	the	DET
ejpam-5737	217	25	bayesian	bayesian	NOUN
ejpam-5737	217	26	estimate	estimate	NOUN
ejpam-5737	217	27	of	of	ADP
ejpam-5737	217	28	entropy	entropy	NOUN
ejpam-5737	217	29	where	where	SCONJ
ejpam-5737	217	30	the	the	DET
ejpam-5737	217	31	informative	informative	ADJ
ejpam-5737	217	32	prior	prior	NOUN
ejpam-5737	217	33	is	be	AUX
ejpam-5737	217	34	driven	drive	VERB
ejpam-5737	217	35	by	by	ADP
ejpam-5737	217	36	gamma	gamma	NOUN
ejpam-5737	217	37	priors	prior	NOUN
ejpam-5737	217	38	under	under	ADP
ejpam-5737	217	39	both	both	CCONJ
ejpam-5737	217	40	symmetric	symmetric	ADJ
ejpam-5737	217	41	and	and	CCONJ
ejpam-5737	217	42	asymmetric	asymmetric	ADJ
ejpam-5737	217	43	loss	loss	NOUN
ejpam-5737	217	44	functions	function	NOUN
ejpam-5737	217	45	.	.	PUNCT
ejpam-5737	218	1	when	when	SCONJ
ejpam-5737	218	2	computing	compute	VERB
ejpam-5737	218	3	the	the	DET
ejpam-5737	218	4	bayes	bayes	NOUN
ejpam-5737	218	5	estimators	estimator	NOUN
ejpam-5737	218	6	,	,	PUNCT
ejpam-5737	218	7	although	although	SCONJ
ejpam-5737	218	8	any	any	DET
ejpam-5737	218	9	other	other	ADJ
ejpam-5737	218	10	loss	loss	NOUN
ejpam-5737	218	11	function	function	NOUN
ejpam-5737	218	12	can	can	AUX
ejpam-5737	218	13	be	be	AUX
ejpam-5737	218	14	readily	readily	ADV
ejpam-5737	218	15	included	include	VERB
ejpam-5737	218	16	,	,	PUNCT
ejpam-5737	218	17	we	we	PRON
ejpam-5737	218	18	typically	typically	ADV
ejpam-5737	218	19	assume	assume	VERB
ejpam-5737	218	20	a	a	DET
ejpam-5737	218	21	se	se	X
ejpam-5737	218	22	loss	loss	NOUN
ejpam-5737	218	23	function	function	NOUN
ejpam-5737	218	24	.	.	PUNCT
ejpam-5737	219	1	non	non	ADJ
ejpam-5737	219	2	-	-	ADJ
ejpam-5737	219	3	informative	informative	ADJ
ejpam-5737	219	4	previous	previous	ADJ
ejpam-5737	219	5	distribution	distribution	NOUN
ejpam-5737	219	6	can	can	AUX
ejpam-5737	219	7	be	be	AUX
ejpam-5737	219	8	used	use	VERB
ejpam-5737	219	9	in	in	ADP
ejpam-5737	219	10	some	some	DET
ejpam-5737	219	11	circumstances	circumstance	NOUN
ejpam-5737	219	12	when	when	SCONJ
ejpam-5737	219	13	we	we	PRON
ejpam-5737	219	14	lack	lack	VERB
ejpam-5737	219	15	adequate	adequate	ADJ
ejpam-5737	219	16	prior	prior	ADJ
ejpam-5737	219	17	knowledge	knowledge	NOUN
ejpam-5737	219	18	.	.	PUNCT
ejpam-5737	220	1	(	(	PUNCT
ejpam-5737	220	2	1	1	X
ejpam-5737	220	3	)	)	PUNCT
ejpam-5737	220	4	prior	prior	ADJ
ejpam-5737	220	5	distribution	distribution	NOUN
ejpam-5737	220	6	and	and	CCONJ
ejpam-5737	220	7	corresponding	correspond	VERB
ejpam-5737	220	8	posterior	posterior	ADJ
ejpam-5737	220	9	distribution	distribution	NOUN
ejpam-5737	220	10	this	this	PRON
ejpam-5737	220	11	is	be	AUX
ejpam-5737	220	12	especially	especially	ADV
ejpam-5737	220	13	valid	valid	ADJ
ejpam-5737	220	14	for	for	ADP
ejpam-5737	220	15	our	our	PRON
ejpam-5737	220	16	research	research	NOUN
ejpam-5737	220	17	.	.	PUNCT
ejpam-5737	221	1	the	the	DET
ejpam-5737	221	2	likelihood	likelihood	NOUN
ejpam-5737	221	3	function	function	NOUN
ejpam-5737	221	4	will	will	AUX
ejpam-5737	221	5	then	then	ADV
ejpam-5737	221	6	determine	determine	VERB
ejpam-5737	221	7	the	the	DET
ejpam-5737	221	8	joint	joint	ADJ
ejpam-5737	221	9	posterior	posterior	ADJ
ejpam-5737	221	10	density	density	NOUN
ejpam-5737	221	11	.	.	PUNCT
ejpam-5737	222	1	independent	independent	ADJ
ejpam-5737	222	2	gamma	gamma	PROPN
ejpam-5737	222	3	priors	prior	NOUN
ejpam-5737	222	4	for	for	ADP
ejpam-5737	222	5	the	the	DET
ejpam-5737	222	6	parameters	parameter	NOUN
ejpam-5737	222	7	explain	explain	VERB
ejpam-5737	222	8	the	the	DET
ejpam-5737	222	9	prior	prior	ADJ
ejpam-5737	222	10	data	datum	NOUN
ejpam-5737	222	11	.	.	PUNCT
ejpam-5737	223	1	considering	consider	VERB
ejpam-5737	223	2	the	the	DET
ejpam-5737	223	3	parameters	parameter	NOUN
ejpam-5737	223	4	β	β	X
ejpam-5737	223	5	and	and	CCONJ
ejpam-5737	223	6	ξ	ξ	X
ejpam-5737	223	7	to	to	PART
ejpam-5737	223	8	have	have	VERB
ejpam-5737	223	9	independent	independent	ADJ
ejpam-5737	223	10	gamma	gamma	NOUN
ejpam-5737	223	11	priors	prior	NOUN
ejpam-5737	223	12	,	,	PUNCT
ejpam-5737	223	13	we	we	PRON
ejpam-5737	223	14	obtain	obtain	VERB
ejpam-5737	223	15	the	the	DET
ejpam-5737	223	16	bayes	bayes	PROPN
ejpam-5737	223	17	estimation	estimation	NOUN
ejpam-5737	223	18	of	of	ADP
ejpam-5737	223	19	entropy	entropy	NOUN
ejpam-5737	223	20	in	in	ADP
ejpam-5737	223	21	a	a	DET
ejpam-5737	223	22	manner	manner	NOUN
ejpam-5737	223	23	that	that	PRON
ejpam-5737	223	24	π	π	X
ejpam-5737	223	25	(	(	PUNCT
ejpam-5737	223	26	β	β	NOUN
ejpam-5737	223	27	)	)	PUNCT
ejpam-5737	223	28	∼	∼	NOUN
ejpam-5737	223	29	βa−1e−bβ	βa−1e−bβ	PUNCT
ejpam-5737	223	30	and	and	CCONJ
ejpam-5737	223	31	π	π	PROPN
ejpam-5737	223	32	(	(	PUNCT
ejpam-5737	223	33	ξ	ξ	NOUN
ejpam-5737	223	34	)	)	PUNCT
ejpam-5737	223	35	∼	∼	NOUN
ejpam-5737	223	36	ξc−1e−dξ	ξc−1e−dξ	NOUN
ejpam-5737	223	37	,	,	PUNCT
ejpam-5737	223	38	(	(	PUNCT
ejpam-5737	223	39	16	16	NUM
ejpam-5737	223	40	)	)	PUNCT
ejpam-5737	223	41	when	when	SCONJ
ejpam-5737	223	42	we	we	PRON
ejpam-5737	223	43	know	know	VERB
ejpam-5737	223	44	the	the	DET
ejpam-5737	223	45	hyper	hyper	NOUN
ejpam-5737	223	46	-	-	NOUN
ejpam-5737	223	47	parameters	parameter	NOUN
ejpam-5737	223	48	(	(	PUNCT
ejpam-5737	223	49	a	a	DET
ejpam-5737	223	50	,	,	PUNCT
ejpam-5737	223	51	b	b	NOUN
ejpam-5737	223	52	)	)	PUNCT
ejpam-5737	223	53	and	and	CCONJ
ejpam-5737	223	54	(	(	PUNCT
ejpam-5737	223	55	c	c	X
ejpam-5737	223	56	,	,	PUNCT
ejpam-5737	223	57	d	d	NOUN
ejpam-5737	223	58	)	)	PUNCT
ejpam-5737	223	59	.	.	PUNCT
ejpam-5737	224	1	according	accord	VERB
ejpam-5737	224	2	to	to	ADP
ejpam-5737	224	3	eqs	eqs	PROPN
ejpam-5737	224	4	.	.	PUNCT
ejpam-5737	225	1	(	(	PUNCT
ejpam-5737	225	2	10	10	NUM
ejpam-5737	225	3	)	)	PUNCT
ejpam-5737	225	4	and	and	CCONJ
ejpam-5737	225	5	(	(	PUNCT
ejpam-5737	225	6	16	16	NUM
ejpam-5737	225	7	)	)	PUNCT
ejpam-5737	225	8	,	,	PUNCT
ejpam-5737	225	9	the	the	DET
ejpam-5737	225	10	joint	joint	ADJ
ejpam-5737	225	11	posterior	posterior	ADJ
ejpam-5737	225	12	density	density	NOUN
ejpam-5737	225	13	of	of	ADP
ejpam-5737	225	14	β	β	PROPN
ejpam-5737	225	15	and	and	CCONJ
ejpam-5737	225	16	ξ	ξ	PROPN
ejpam-5737	225	17	given	give	VERB
ejpam-5737	225	18	the	the	DET
ejpam-5737	225	19	data	datum	NOUN
ejpam-5737	225	20	is	be	AUX
ejpam-5737	225	21	π(β	π(β	NOUN
ejpam-5737	225	22	,	,	PUNCT
ejpam-5737	225	23	ξ|x	ξ|x	NOUN
ejpam-5737	225	24	)	)	PUNCT
ejpam-5737	226	1	=	=	SYM
ejpam-5737	226	2	π	π	X
ejpam-5737	226	3	(	(	PUNCT
ejpam-5737	226	4	β)π	β)π	X
ejpam-5737	226	5	(	(	PUNCT
ejpam-5737	226	6	ξ	ξ	NOUN
ejpam-5737	226	7	)	)	PUNCT
ejpam-5737	226	8	ℓ(β	ℓ(β	NOUN
ejpam-5737	226	9	,	,	PUNCT
ejpam-5737	226	10	ξ|x)∫	ξ|x)∫	PROPN
ejpam-5737	226	11	β	β	X
ejpam-5737	226	12	∫	∫	PROPN
ejpam-5737	227	1	ξ	ξ	X
ejpam-5737	227	2	π	π	PROPN
ejpam-5737	227	3	(	(	PUNCT
ejpam-5737	227	4	β)π	β)π	X
ejpam-5737	227	5	(	(	PUNCT
ejpam-5737	227	6	ξ	ξ	NOUN
ejpam-5737	227	7	)	)	PUNCT
ejpam-5737	227	8	ℓ(β	ℓ(β	PROPN
ejpam-5737	227	9	,	,	PUNCT
ejpam-5737	227	10	ξ|x)dβdξ	ξ|x)dβdξ	NOUN
ejpam-5737	227	11	.	.	PUNCT
ejpam-5737	228	1	(	(	PUNCT
ejpam-5737	228	2	17	17	NUM
ejpam-5737	228	3	)	)	PUNCT
ejpam-5737	228	4	π(β	π(β	NOUN
ejpam-5737	228	5	,	,	PUNCT
ejpam-5737	228	6	ξ|x	ξ|x	NOUN
ejpam-5737	228	7	)	)	PUNCT
ejpam-5737	228	8	∝	∝	NOUN
ejpam-5737	228	9	βa+r−1ξ	βa+r−1ξ	PUNCT
ejpam-5737	229	1	c+β(r+	c+β(r+	ADJ
ejpam-5737	229	2	r∑	r∑	NOUN
ejpam-5737	229	3	i=1	i=1	ADP
ejpam-5737	229	4	ri)+r∗	ri)+r∗	ADJ
ejpam-5737	229	5	r)−1	r)−1	NOUN
ejpam-5737	229	6	e−bβe−dξe	e−bβe−dξe	NOUN
ejpam-5737	229	7	−(β+1	−(β+1	NOUN
ejpam-5737	229	8	)	)	PUNCT
ejpam-5737	229	9	r∑	r∑	NOUN
ejpam-5737	229	10	i=1	i=1	PROPN
ejpam-5737	229	11	log(ξ+xi	log(ξ+xi	PROPN
ejpam-5737	229	12	)	)	PUNCT
ejpam-5737	229	13	s.	s.	PROPN
ejpam-5737	229	14	m.	m.	PROPN
ejpam-5737	229	15	ahmed	ahmed	PROPN
ejpam-5737	229	16	,	,	PUNCT
ejpam-5737	229	17	g.	g.	PROPN
ejpam-5737	229	18	m.	m.	PROPN
ejpam-5737	229	19	ismail	ismail	PROPN
ejpam-5737	229	20	/	/	SYM
ejpam-5737	229	21	eur	eur	PROPN
ejpam-5737	229	22	.	.	PUNCT
ejpam-5737	230	1	j.	j.	PROPN
ejpam-5737	230	2	pure	pure	PROPN
ejpam-5737	230	3	appl	appl	PROPN
ejpam-5737	230	4	.	.	PROPN
ejpam-5737	230	5	math	math	PROPN
ejpam-5737	230	6	,	,	PUNCT
ejpam-5737	230	7	18	18	NUM
ejpam-5737	230	8	(	(	PUNCT
ejpam-5737	230	9	1	1	NUM
ejpam-5737	230	10	)	)	PUNCT
ejpam-5737	230	11	(	(	PUNCT
ejpam-5737	230	12	2025	2025	NUM
ejpam-5737	230	13	)	)	PUNCT
ejpam-5737	230	14	,	,	PUNCT
ejpam-5737	230	15	5737	5737	NUM
ejpam-5737	230	16	8	8	NUM
ejpam-5737	230	17	of	of	ADP
ejpam-5737	230	18	22	22	NUM
ejpam-5737	230	19	×	×	NOUN
ejpam-5737	230	20	e	e	NOUN
ejpam-5737	230	21	−β	−β	NOUN
ejpam-5737	230	22	j∑	j∑	PROPN
ejpam-5737	231	1	i=1	i=1	PROPN
ejpam-5737	231	2	ri	ri	PROPN
ejpam-5737	231	3	log(ξ+xi	log(ξ+xi	PROPN
ejpam-5737	231	4	)	)	PUNCT
ejpam-5737	232	1	e−βr∗	e−βr∗	CCONJ
ejpam-5737	232	2	r	r	NOUN
ejpam-5737	232	3	log(ξ+xr	log(ξ+xr	NOUN
ejpam-5737	232	4	)	)	PUNCT
ejpam-5737	232	5	.	.	PUNCT
ejpam-5737	233	1	(	(	PUNCT
ejpam-5737	233	2	18	18	NUM
ejpam-5737	233	3	)	)	PUNCT
ejpam-5737	233	4	in	in	ADP
ejpam-5737	233	5	general	general	ADJ
ejpam-5737	233	6	,	,	PUNCT
ejpam-5737	233	7	the	the	DET
ejpam-5737	233	8	integration	integration	NOUN
ejpam-5737	233	9	shown	show	VERB
ejpam-5737	233	10	by	by	ADP
ejpam-5737	233	11	eq	eq	PROPN
ejpam-5737	233	12	.	.	PUNCT
ejpam-5737	234	1	(	(	PUNCT
ejpam-5737	234	2	18	18	NUM
ejpam-5737	234	3	)	)	PUNCT
ejpam-5737	234	4	is	be	AUX
ejpam-5737	234	5	more	more	ADV
ejpam-5737	234	6	challenging	challenging	ADJ
ejpam-5737	234	7	and	and	CCONJ
ejpam-5737	234	8	does	do	AUX
ejpam-5737	234	9	not	not	PART
ejpam-5737	234	10	allow	allow	VERB
ejpam-5737	234	11	for	for	ADP
ejpam-5737	234	12	closed	closed	ADJ
ejpam-5737	234	13	-	-	PUNCT
ejpam-5737	234	14	form	form	NOUN
ejpam-5737	234	15	formulations	formulation	NOUN
ejpam-5737	234	16	,	,	PUNCT
ejpam-5737	234	17	particularly	particularly	ADV
ejpam-5737	234	18	when	when	SCONJ
ejpam-5737	234	19	dealing	deal	VERB
ejpam-5737	234	20	with	with	ADP
ejpam-5737	234	21	high	high	ADJ
ejpam-5737	234	22	-	-	PUNCT
ejpam-5737	234	23	dimensional	dimensional	ADJ
ejpam-5737	234	24	causes	cause	NOUN
ejpam-5737	234	25	.	.	PUNCT
ejpam-5737	235	1	consequently	consequently	ADV
ejpam-5737	235	2	,	,	PUNCT
ejpam-5737	235	3	approximation	approximation	NOUN
ejpam-5737	235	4	techniques	technique	NOUN
ejpam-5737	235	5	like	like	ADP
ejpam-5737	235	6	numerical	numerical	ADJ
ejpam-5737	235	7	integration	integration	NOUN
ejpam-5737	235	8	and	and	CCONJ
ejpam-5737	235	9	the	the	DET
ejpam-5737	235	10	lindely	lindely	ADJ
ejpam-5737	235	11	approximation	approximation	NOUN
ejpam-5737	235	12	can	can	AUX
ejpam-5737	235	13	be	be	AUX
ejpam-5737	235	14	used	use	VERB
ejpam-5737	235	15	.	.	PUNCT
ejpam-5737	236	1	however	however	ADV
ejpam-5737	236	2	,	,	PUNCT
ejpam-5737	236	3	the	the	DET
ejpam-5737	236	4	key	key	ADJ
ejpam-5737	236	5	techniques	technique	NOUN
ejpam-5737	236	6	like	like	ADP
ejpam-5737	236	7	mcmc	mcmc	PROPN
ejpam-5737	236	8	rely	rely	VERB
ejpam-5737	236	9	on	on	ADP
ejpam-5737	236	10	building	build	VERB
ejpam-5737	236	11	.	.	PUNCT
ejpam-5737	237	1	the	the	DET
ejpam-5737	237	2	posterior	posterior	ADJ
ejpam-5737	237	3	distribution	distribution	NOUN
ejpam-5737	237	4	based	base	VERB
ejpam-5737	237	5	on	on	ADP
ejpam-5737	237	6	empirical	empirical	ADJ
ejpam-5737	237	7	data	datum	NOUN
ejpam-5737	237	8	,	,	PUNCT
ejpam-5737	237	9	it	it	PRON
ejpam-5737	237	10	can	can	AUX
ejpam-5737	237	11	be	be	AUX
ejpam-5737	237	12	accomplished	accomplish	VERB
ejpam-5737	237	13	instead	instead	ADV
ejpam-5737	237	14	by	by	ADP
ejpam-5737	237	15	modeling	model	VERB
ejpam-5737	237	16	a	a	DET
ejpam-5737	237	17	large	large	ADJ
ejpam-5737	237	18	sample	sample	NOUN
ejpam-5737	237	19	of	of	ADP
ejpam-5737	237	20	the	the	DET
ejpam-5737	237	21	posterior	posterior	ADJ
ejpam-5737	237	22	distribution	distribution	NOUN
ejpam-5737	237	23	.	.	PUNCT
ejpam-5737	238	1	with	with	ADP
ejpam-5737	238	2	a	a	DET
ejpam-5737	238	3	variety	variety	NOUN
ejpam-5737	238	4	of	of	ADP
ejpam-5737	238	5	algorithms	algorithm	NOUN
ejpam-5737	238	6	,	,	PUNCT
ejpam-5737	238	7	the	the	DET
ejpam-5737	238	8	more	more	ADV
ejpam-5737	238	9	broad	broad	ADJ
ejpam-5737	238	10	metropolis	metropoli	NOUN
ejpam-5737	238	11	-	-	PUNCT
ejpam-5737	238	12	hastings	hastings	PROPN
ejpam-5737	238	13	(	(	PUNCT
ejpam-5737	238	14	m	m	NOUN
ejpam-5737	238	15	-	-	ADJ
ejpam-5737	238	16	h	h	NOUN
ejpam-5737	238	17	)	)	PUNCT
ejpam-5737	238	18	algorithm	algorithm	NOUN
ejpam-5737	238	19	can	can	AUX
ejpam-5737	238	20	be	be	AUX
ejpam-5737	238	21	used	use	VERB
ejpam-5737	238	22	with	with	ADP
ejpam-5737	238	23	gibbs	gibbs	PROPN
ejpam-5737	238	24	sampling	sampling	NOUN
ejpam-5737	238	25	or	or	CCONJ
ejpam-5737	238	26	gibbs	gibbs	PROPN
ejpam-5737	238	27	sampling	sampling	NOUN
ejpam-5737	238	28	methods	method	NOUN
ejpam-5737	238	29	,	,	PUNCT
ejpam-5737	238	30	(	(	PUNCT
ejpam-5737	238	31	see	see	AUX
ejpam-5737	238	32	ahmed	ahme	VERB
ejpam-5737	238	33	[	[	PUNCT
ejpam-5737	238	34	40	40	NUM
ejpam-5737	238	35	]	]	PUNCT
ejpam-5737	238	36	,	,	PUNCT
ejpam-5737	238	37	ahmed	ahmed	PROPN
ejpam-5737	238	38	and	and	CCONJ
ejpam-5737	238	39	mustafa	mustafa	PROPN
ejpam-5737	239	1	[	[	X
ejpam-5737	239	2	41	41	NUM
ejpam-5737	239	3	]	]	PUNCT
ejpam-5737	239	4	,	,	PUNCT
ejpam-5737	239	5	and	and	CCONJ
ejpam-5737	239	6	ahmed	ahme	VERB
ejpam-5737	239	7	et	et	PROPN
ejpam-5737	239	8	al	al	PROPN
ejpam-5737	239	9	.	.	PUNCT
ejpam-5737	240	1	[	[	X
ejpam-5737	240	2	42	42	NUM
ejpam-5737	240	3	]	]	PUNCT
ejpam-5737	240	4	)	)	PUNCT
ejpam-5737	240	5	.	.	PUNCT
ejpam-5737	241	1	the	the	DET
ejpam-5737	241	2	importance	importance	NOUN
ejpam-5737	241	3	sampling	sample	VERB
ejpam-5737	241	4	technique	technique	NOUN
ejpam-5737	241	5	is	be	AUX
ejpam-5737	241	6	another	another	PRON
ejpam-5737	241	7	.	.	PUNCT
ejpam-5737	242	1	the	the	DET
ejpam-5737	242	2	posterior	posterior	ADJ
ejpam-5737	242	3	distribution	distribution	NOUN
ejpam-5737	242	4	provided	provide	VERB
ejpam-5737	242	5	by	by	ADP
ejpam-5737	242	6	the	the	DET
ejpam-5737	242	7	following	following	NOUN
ejpam-5737	242	8	is	be	AUX
ejpam-5737	242	9	an	an	DET
ejpam-5737	242	10	expression	expression	NOUN
ejpam-5737	242	11	for	for	ADP
ejpam-5737	242	12	eq	eq	PROPN
ejpam-5737	242	13	.	.	PUNCT
ejpam-5737	243	1	(	(	PUNCT
ejpam-5737	243	2	18	18	NUM
ejpam-5737	243	3	):	):	PUNCT
ejpam-5737	243	4	π(β	π(β	NOUN
ejpam-5737	243	5	,	,	PUNCT
ejpam-5737	243	6	ξ|x	ξ|x	NOUN
ejpam-5737	243	7	)	)	PUNCT
ejpam-5737	243	8	∝	∝	PROPN
ejpam-5737	243	9	πβ(β|ξ	πβ(β|ξ	PROPN
ejpam-5737	243	10	,	,	PUNCT
ejpam-5737	243	11	x)πξ(ξ|β	x)πξ(ξ|β	X
ejpam-5737	243	12	,	,	PUNCT
ejpam-5737	243	13	x	x	NOUN
ejpam-5737	243	14	)	)	PUNCT
ejpam-5737	243	15	,	,	PUNCT
ejpam-5737	243	16	(	(	PUNCT
ejpam-5737	243	17	19	19	NUM
ejpam-5737	243	18	)	)	PUNCT
ejpam-5737	243	19	where	where	SCONJ
ejpam-5737	243	20	π(β	π(β	NOUN
ejpam-5737	243	21	,	,	PUNCT
ejpam-5737	243	22	ξ|x	ξ|x	NOUN
ejpam-5737	243	23	)	)	PUNCT
ejpam-5737	243	24	∝	∝	PROPN
ejpam-5737	243	25	βa+r−1ξ	βa+r−1ξ	PUNCT
ejpam-5737	243	26	c+β(r+	c+β(r+	PROPN
ejpam-5737	243	27	(	(	PUNCT
ejpam-5737	243	28	r∑	r∑	NOUN
ejpam-5737	243	29	i=1	i=1	PROPN
ejpam-5737	243	30	ri)+r∗	ri)+r∗	ADJ
ejpam-5737	243	31	r)−1	r)−1	NOUN
ejpam-5737	243	32	e−bβe−dξ	e−bβe−dξ	PROPN
ejpam-5737	243	33	×	×	NOUN
ejpam-5737	243	34	e	e	NOUN
ejpam-5737	243	35	−(β+1	−(β+1	NOUN
ejpam-5737	243	36	)	)	PUNCT
ejpam-5737	243	37	r∑	r∑	NOUN
ejpam-5737	243	38	i=1	i=1	X
ejpam-5737	243	39	log(ξ+xi	log(ξ+xi	X
ejpam-5737	243	40	)	)	PUNCT
ejpam-5737	244	1	e	e	NOUN
ejpam-5737	244	2	−β	−β	NOUN
ejpam-5737	244	3	j∑	j∑	PROPN
ejpam-5737	244	4	i=1	i=1	PROPN
ejpam-5737	244	5	ri	ri	PROPN
ejpam-5737	244	6	log(ξ+xi	log(ξ+xi	PROPN
ejpam-5737	244	7	)	)	PUNCT
ejpam-5737	244	8	e−βr∗	e−βr∗	CCONJ
ejpam-5737	244	9	r	r	NOUN
ejpam-5737	244	10	log(ξ+xr	log(ξ+xr	NOUN
ejpam-5737	244	11	)	)	PUNCT
ejpam-5737	244	12	,	,	PUNCT
ejpam-5737	244	13	(	(	PUNCT
ejpam-5737	244	14	20	20	NUM
ejpam-5737	244	15	)	)	PUNCT
ejpam-5737	244	16	πβ(β|ξ	πβ(β|ξ	NUM
ejpam-5737	244	17	,	,	PUNCT
ejpam-5737	244	18	x	x	X
ejpam-5737	244	19	)	)	PUNCT
ejpam-5737	244	20	∝	∝	PROPN
ejpam-5737	244	21	βa+n−1e	βa+n−1e	PUNCT
ejpam-5737	244	22	−β(b−(r+	−β(b−(r+	PROPN
ejpam-5737	244	23	(	(	PUNCT
ejpam-5737	244	24	r∑	r∑	NOUN
ejpam-5737	244	25	i=1	i=1	X
ejpam-5737	244	26	ri)+r∗	ri)+r∗	ADJ
ejpam-5737	244	27	r	r	NOUN
ejpam-5737	244	28	)	)	PUNCT
ejpam-5737	244	29	log(ξ)+	log(ξ)+	NOUN
ejpam-5737	244	30	r∑	r∑	NOUN
ejpam-5737	244	31	i=1	i=1	PROPN
ejpam-5737	244	32	log(ξ+xi)+	log(ξ+xi)+	NOUN
ejpam-5737	244	33	j∑	j∑	PROPN
ejpam-5737	244	34	i=1	i=1	PROPN
ejpam-5737	244	35	ri	ri	PROPN
ejpam-5737	244	36	log(ξ+xi)+r∗	log(ξ+xi)+r∗	NOUN
ejpam-5737	244	37	r	r	NOUN
ejpam-5737	244	38	log(ξ+xr	log(ξ+xr	NOUN
ejpam-5737	244	39	)	)	PUNCT
ejpam-5737	244	40	)	)	PUNCT
ejpam-5737	244	41	,	,	PUNCT
ejpam-5737	244	42	(	(	PUNCT
ejpam-5737	244	43	21	21	NUM
ejpam-5737	244	44	)	)	PUNCT
ejpam-5737	244	45	πξ(ξ|β	πξ(ξ|β	NOUN
ejpam-5737	244	46	,	,	PUNCT
ejpam-5737	244	47	x	x	NOUN
ejpam-5737	244	48	)	)	PUNCT
ejpam-5737	244	49	∝	∝	PROPN
ejpam-5737	245	1	ξ	ξ	X
ejpam-5737	245	2	c+β(r+	c+β(r+	X
ejpam-5737	245	3	(	(	PUNCT
ejpam-5737	245	4	r∑	r∑	NOUN
ejpam-5737	245	5	i=1	i=1	PROPN
ejpam-5737	245	6	ri)+r∗	ri)+r∗	ADJ
ejpam-5737	245	7	r)−1	r)−1	NOUN
ejpam-5737	245	8	e	e	NOUN
ejpam-5737	245	9	−	−	NOUN
ejpam-5737	245	10	r∑	r∑	NOUN
ejpam-5737	245	11	i=1	i=1	PROPN
ejpam-5737	245	12	log(ξ+xi)−dξ	log(ξ+xi)−dξ	X
ejpam-5737	245	13	e	e	X
ejpam-5737	245	14	−β	−β	PROPN
ejpam-5737	245	15	(	(	PUNCT
ejpam-5737	245	16	j∑	j∑	PROPN
ejpam-5737	245	17	i=1	i=1	PROPN
ejpam-5737	245	18	ri	ri	PROPN
ejpam-5737	245	19	log(ξ+xi)+r∗	log(ξ+xi)+r∗	NOUN
ejpam-5737	245	20	r	r	NOUN
ejpam-5737	245	21	log(ξ+xr)+	log(ξ+xr)+	NOUN
ejpam-5737	245	22	r∑	r∑	NOUN
ejpam-5737	245	23	i=1	i=1	PROPN
ejpam-5737	245	24	log(ξ+xi	log(ξ+xi	NUM
ejpam-5737	245	25	)	)	PUNCT
ejpam-5737	245	26	)	)	PUNCT
ejpam-5737	245	27	.	.	PUNCT
ejpam-5737	246	1	(	(	PUNCT
ejpam-5737	246	2	22	22	NUM
ejpam-5737	246	3	)	)	PUNCT
ejpam-5737	246	4	(	(	PUNCT
ejpam-5737	246	5	2	2	X
ejpam-5737	246	6	)	)	PUNCT
ejpam-5737	246	7	loss	loss	NOUN
ejpam-5737	246	8	function	function	NOUN
ejpam-5737	246	9	bayesian	bayesian	NOUN
ejpam-5737	246	10	methods	method	NOUN
ejpam-5737	246	11	are	be	AUX
ejpam-5737	246	12	increasingly	increasingly	ADV
ejpam-5737	246	13	popular	popular	ADJ
ejpam-5737	246	14	in	in	ADP
ejpam-5737	246	15	reliability	reliability	NOUN
ejpam-5737	246	16	research	research	NOUN
ejpam-5737	246	17	and	and	CCONJ
ejpam-5737	246	18	estimation	estimation	NOUN
ejpam-5737	246	19	.	.	PUNCT
ejpam-5737	247	1	selecting	select	VERB
ejpam-5737	247	2	a	a	DET
ejpam-5737	247	3	single	single	ADJ
ejpam-5737	247	4	value	value	NOUN
ejpam-5737	247	5	to	to	PART
ejpam-5737	247	6	represent	represent	VERB
ejpam-5737	247	7	the	the	DET
ejpam-5737	247	8	estimate	estimate	NOUN
ejpam-5737	247	9	of	of	ADP
ejpam-5737	247	10	an	an	DET
ejpam-5737	247	11	unknown	unknown	ADJ
ejpam-5737	247	12	parameter	parameter	NOUN
ejpam-5737	247	13	requires	require	VERB
ejpam-5737	247	14	defining	define	VERB
ejpam-5737	247	15	a	a	DET
ejpam-5737	247	16	loss	loss	NOUN
ejpam-5737	247	17	function	function	NOUN
ejpam-5737	247	18	.	.	PUNCT
ejpam-5737	248	1	bayesian	bayesian	NOUN
ejpam-5737	248	2	estimation	estimation	NOUN
ejpam-5737	248	3	typically	typically	ADV
ejpam-5737	248	4	employs	employ	VERB
ejpam-5737	248	5	two	two	NUM
ejpam-5737	248	6	types	type	NOUN
ejpam-5737	248	7	of	of	ADP
ejpam-5737	248	8	loss	loss	NOUN
ejpam-5737	248	9	functions	function	NOUN
ejpam-5737	248	10	:	:	PUNCT
ejpam-5737	248	11	the	the	DET
ejpam-5737	248	12	symmetric	symmetric	PROPN
ejpam-5737	248	13	se	se	PROPN
ejpam-5737	248	14	loss	loss	NOUN
ejpam-5737	248	15	function	function	NOUN
ejpam-5737	248	16	and	and	CCONJ
ejpam-5737	248	17	the	the	DET
ejpam-5737	248	18	asymmetric	asymmetric	ADJ
ejpam-5737	248	19	linex	linex	PROPN
ejpam-5737	248	20	loss	loss	NOUN
ejpam-5737	248	21	function	function	NOUN
ejpam-5737	248	22	,	,	PUNCT
ejpam-5737	248	23	introduced	introduce	VERB
ejpam-5737	248	24	by	by	ADP
ejpam-5737	248	25	varian	varian	PROPN
ejpam-5737	249	1	[	[	X
ejpam-5737	249	2	43	43	NUM
ejpam-5737	249	3	]	]	PUNCT
ejpam-5737	249	4	)	)	PUNCT
ejpam-5737	249	5	.	.	PUNCT
ejpam-5737	250	1	the	the	DET
ejpam-5737	250	2	se	se	PROPN
ejpam-5737	250	3	loss	loss	NOUN
ejpam-5737	250	4	function	function	NOUN
ejpam-5737	250	5	provides	provide	VERB
ejpam-5737	250	6	the	the	DET
ejpam-5737	250	7	foundation	foundation	NOUN
ejpam-5737	250	8	for	for	ADP
ejpam-5737	250	9	evaluating	evaluate	VERB
ejpam-5737	250	10	estimators	estimator	NOUN
ejpam-5737	250	11	’	'	PUNCT
ejpam-5737	250	12	performance	performance	NOUN
ejpam-5737	250	13	in	in	ADP
ejpam-5737	250	14	a	a	DET
ejpam-5737	250	15	lot	lot	NOUN
ejpam-5737	250	16	of	of	ADP
ejpam-5737	250	17	studies	study	NOUN
ejpam-5737	250	18	.	.	PUNCT
ejpam-5737	251	1	ω̂se	ω̂se	PUNCT
ejpam-5737	251	2	=	=	SYM
ejpam-5737	252	1	∫	∫	PROPN
ejpam-5737	252	2	ω	ω	PROPN
ejpam-5737	252	3	ωπ(β	ωπ(β	PROPN
ejpam-5737	252	4	,	,	PUNCT
ejpam-5737	252	5	ξ|x)dβdξ	ξ|x)dβdξ	NOUN
ejpam-5737	252	6	.	.	PUNCT
ejpam-5737	253	1	(	(	PUNCT
ejpam-5737	253	2	23	23	NUM
ejpam-5737	253	3	)	)	PUNCT
ejpam-5737	253	4	because	because	SCONJ
ejpam-5737	253	5	this	this	DET
ejpam-5737	253	6	function	function	NOUN
ejpam-5737	253	7	is	be	AUX
ejpam-5737	253	8	symmetric	symmetric	ADJ
ejpam-5737	253	9	,	,	PUNCT
ejpam-5737	253	10	overestimation	overestimation	NOUN
ejpam-5737	253	11	and	and	CCONJ
ejpam-5737	253	12	underestimation	underestimation	NOUN
ejpam-5737	253	13	are	be	AUX
ejpam-5737	253	14	given	give	VERB
ejpam-5737	253	15	equal	equal	ADJ
ejpam-5737	253	16	weight	weight	NOUN
ejpam-5737	253	17	.	.	PUNCT
ejpam-5737	254	1	an	an	DET
ejpam-5737	254	2	overestimate	overestimate	NOUN
ejpam-5737	254	3	is	be	AUX
ejpam-5737	254	4	far	far	ADV
ejpam-5737	254	5	more	more	ADV
ejpam-5737	254	6	dangerous	dangerous	ADJ
ejpam-5737	254	7	than	than	ADP
ejpam-5737	254	8	an	an	DET
ejpam-5737	254	9	underestimate	underestimate	ADJ
ejpam-5737	254	10	,	,	PUNCT
ejpam-5737	254	11	similar	similar	ADJ
ejpam-5737	254	12	to	to	ADP
ejpam-5737	254	13	how	how	SCONJ
ejpam-5737	254	14	s.	s.	PROPN
ejpam-5737	254	15	m.	m.	PROPN
ejpam-5737	254	16	ahmed	ahmed	PROPN
ejpam-5737	254	17	,	,	PUNCT
ejpam-5737	254	18	g.	g.	PROPN
ejpam-5737	254	19	m.	m.	PROPN
ejpam-5737	254	20	ismail	ismail	PROPN
ejpam-5737	254	21	/	/	SYM
ejpam-5737	254	22	eur	eur	PROPN
ejpam-5737	254	23	.	.	PUNCT
ejpam-5737	255	1	j.	j.	PROPN
ejpam-5737	255	2	pure	pure	PROPN
ejpam-5737	255	3	appl	appl	PROPN
ejpam-5737	255	4	.	.	PROPN
ejpam-5737	255	5	math	math	PROPN
ejpam-5737	255	6	,	,	PUNCT
ejpam-5737	255	7	18	18	NUM
ejpam-5737	255	8	(	(	PUNCT
ejpam-5737	255	9	1	1	NUM
ejpam-5737	255	10	)	)	PUNCT
ejpam-5737	255	11	(	(	PUNCT
ejpam-5737	255	12	2025	2025	NUM
ejpam-5737	255	13	)	)	PUNCT
ejpam-5737	255	14	,	,	PUNCT
ejpam-5737	255	15	5737	5737	NUM
ejpam-5737	255	16	9	9	NUM
ejpam-5737	255	17	of	of	ADP
ejpam-5737	255	18	22	22	NUM
ejpam-5737	255	19	functions	function	NOUN
ejpam-5737	255	20	for	for	ADP
ejpam-5737	255	21	failure	failure	NOUN
ejpam-5737	255	22	rate	rate	NOUN
ejpam-5737	255	23	and	and	CCONJ
ejpam-5737	255	24	reliability	reliability	NOUN
ejpam-5737	255	25	are	be	AUX
ejpam-5737	255	26	estimated	estimate	VERB
ejpam-5737	255	27	.	.	PUNCT
ejpam-5737	256	1	varian	varian	PROPN
ejpam-5737	256	2	invented	invent	VERB
ejpam-5737	256	3	linex	linex	ADV
ejpam-5737	256	4	loss	loss	NOUN
ejpam-5737	256	5	function	function	NOUN
ejpam-5737	256	6	,	,	PUNCT
ejpam-5737	256	7	this	this	PRON
ejpam-5737	256	8	is	be	AUX
ejpam-5737	256	9	one	one	NUM
ejpam-5737	256	10	of	of	ADP
ejpam-5737	256	11	the	the	DET
ejpam-5737	256	12	most	most	ADV
ejpam-5737	256	13	widely	widely	ADV
ejpam-5737	256	14	used	use	VERB
ejpam-5737	256	15	asymmetric	asymmetric	ADJ
ejpam-5737	256	16	loss	loss	NOUN
ejpam-5737	256	17	functions	function	NOUN
ejpam-5737	256	18	[	[	X
ejpam-5737	256	19	43	43	NUM
ejpam-5737	256	20	]	]	PUNCT
ejpam-5737	256	21	.	.	PUNCT
ejpam-5737	257	1	this	this	DET
ejpam-5737	257	2	function	function	NOUN
ejpam-5737	257	3	rises	rise	VERB
ejpam-5737	257	4	roughly	roughly	ADV
ejpam-5737	257	5	to	to	ADP
ejpam-5737	257	6	zero	zero	NUM
ejpam-5737	257	7	on	on	ADP
ejpam-5737	257	8	one	one	NUM
ejpam-5737	257	9	side	side	NOUN
ejpam-5737	257	10	and	and	CCONJ
ejpam-5737	257	11	is	be	AUX
ejpam-5737	257	12	roughly	roughly	ADV
ejpam-5737	257	13	linear	linear	ADJ
ejpam-5737	257	14	on	on	ADP
ejpam-5737	257	15	the	the	DET
ejpam-5737	257	16	other	other	ADJ
ejpam-5737	257	17	.	.	PUNCT
ejpam-5737	258	1	varian	varian	PROPN
ejpam-5737	259	1	[	[	X
ejpam-5737	259	2	43	43	NUM
ejpam-5737	259	3	]	]	PUNCT
ejpam-5737	259	4	introduced	introduce	VERB
ejpam-5737	259	5	a	a	DET
ejpam-5737	259	6	representation	representation	NOUN
ejpam-5737	259	7	of	of	ADP
ejpam-5737	259	8	the	the	DET
ejpam-5737	259	9	linex	linex	ADJ
ejpam-5737	259	10	loss	loss	NOUN
ejpam-5737	259	11	function	function	NOUN
ejpam-5737	259	12	can	can	AUX
ejpam-5737	259	13	be	be	AUX
ejpam-5737	259	14	expressed	express	VERB
ejpam-5737	259	15	in	in	ADP
ejpam-5737	259	16	the	the	DET
ejpam-5737	259	17	manner	manner	NOUN
ejpam-5737	259	18	shown	show	VERB
ejpam-5737	259	19	below	below	ADV
ejpam-5737	259	20	,	,	PUNCT
ejpam-5737	259	21	assuming	assume	VERB
ejpam-5737	259	22	that	that	SCONJ
ejpam-5737	259	23	the	the	DET
ejpam-5737	259	24	minimal	minimal	ADJ
ejpam-5737	259	25	loss	loss	NOUN
ejpam-5737	259	26	happens	happen	VERB
ejpam-5737	259	27	at	at	ADP
ejpam-5737	259	28	ω̂	ω̂	PROPN
ejpam-5737	259	29	=	=	PROPN
ejpam-5737	259	30	ω	ω	NUM
ejpam-5737	259	31	l1(∆	l1(∆	PROPN
ejpam-5737	259	32	)	)	PUNCT
ejpam-5737	259	33	∝	∝	PROPN
ejpam-5737	259	34	ec∆	ec∆	NOUN
ejpam-5737	259	35	−	−	NOUN
ejpam-5737	259	36	c∆−	c∆−	NOUN
ejpam-5737	259	37	1	1	NUM
ejpam-5737	259	38	,	,	PUNCT
ejpam-5737	259	39	c	c	PROPN
ejpam-5737	259	40	̸=	̸=	PROPN
ejpam-5737	259	41	0	0	NUM
ejpam-5737	259	42	,	,	PUNCT
ejpam-5737	259	43	(	(	PUNCT
ejpam-5737	259	44	24	24	NUM
ejpam-5737	259	45	)	)	PUNCT
ejpam-5737	259	46	where	where	SCONJ
ejpam-5737	259	47	ω̂	ω̂	PROPN
ejpam-5737	259	48	is	be	AUX
ejpam-5737	259	49	the	the	DET
ejpam-5737	259	50	estimate	estimate	NOUN
ejpam-5737	259	51	of	of	ADP
ejpam-5737	259	52	ω	ω	NUM
ejpam-5737	259	53	and	and	CCONJ
ejpam-5737	259	54	∆	∆	PROPN
ejpam-5737	259	55	=	=	SYM
ejpam-5737	259	56	(	(	PUNCT
ejpam-5737	259	57	ω̂	ω̂	NUM
ejpam-5737	259	58	−	−	PROPN
ejpam-5737	259	59	ω	ω	NUM
ejpam-5737	259	60	)	)	PUNCT
ejpam-5737	259	61	.	.	PUNCT
ejpam-5737	260	1	the	the	DET
ejpam-5737	260	2	degree	degree	NOUN
ejpam-5737	260	3	and	and	CCONJ
ejpam-5737	260	4	direction	direction	NOUN
ejpam-5737	260	5	of	of	ADP
ejpam-5737	260	6	symmetry	symmetry	NOUN
ejpam-5737	260	7	are	be	AUX
ejpam-5737	260	8	expressed	express	VERB
ejpam-5737	260	9	by	by	ADP
ejpam-5737	260	10	the	the	DET
ejpam-5737	260	11	magnitude	magnitude	NOUN
ejpam-5737	260	12	of	of	ADP
ejpam-5737	260	13	c.	c.	PROPN
ejpam-5737	260	14	when	when	SCONJ
ejpam-5737	260	15	c	c	PROPN
ejpam-5737	260	16	>	>	X
ejpam-5737	260	17	0	0	PROPN
ejpam-5737	260	18	,	,	PUNCT
ejpam-5737	260	19	overestimation	overestimation	NOUN
ejpam-5737	260	20	is	be	AUX
ejpam-5737	260	21	more	more	ADV
ejpam-5737	260	22	dangerous	dangerous	ADJ
ejpam-5737	260	23	than	than	ADP
ejpam-5737	260	24	underestimation	underestimation	NOUN
ejpam-5737	260	25	,	,	PUNCT
ejpam-5737	260	26	while	while	SCONJ
ejpam-5737	260	27	the	the	DET
ejpam-5737	260	28	opposite	opposite	NOUN
ejpam-5737	260	29	is	be	AUX
ejpam-5737	260	30	true	true	ADJ
ejpam-5737	260	31	if	if	SCONJ
ejpam-5737	260	32	c	c	PROPN
ejpam-5737	260	33	<	<	X
ejpam-5737	260	34	0	0	NUM
ejpam-5737	260	35	.	.	PUNCT
ejpam-5737	261	1	the	the	DET
ejpam-5737	261	2	linex	linex	ADJ
ejpam-5737	261	3	loss	loss	NOUN
ejpam-5737	261	4	reduces	reduce	VERB
ejpam-5737	261	5	to	to	ADP
ejpam-5737	261	6	the	the	DET
ejpam-5737	261	7	se	se	PROPN
ejpam-5737	261	8	loss	loss	NOUN
ejpam-5737	261	9	when	when	SCONJ
ejpam-5737	261	10	c	c	NOUN
ejpam-5737	261	11	is	be	AUX
ejpam-5737	261	12	close	close	ADJ
ejpam-5737	261	13	to	to	ADP
ejpam-5737	261	14	zero	zero	NUM
ejpam-5737	261	15	.	.	PUNCT
ejpam-5737	262	1	the	the	DET
ejpam-5737	262	2	linex	linex	ADJ
ejpam-5737	262	3	loss	loss	NOUN
ejpam-5737	262	4	function	function	NOUN
ejpam-5737	262	5	of	of	ADP
ejpam-5737	262	6	eq	eq	PROPN
ejpam-5737	262	7	.	.	PUNCT
ejpam-5737	263	1	(	(	PUNCT
ejpam-5737	263	2	24	24	NUM
ejpam-5737	263	3	)	)	PUNCT
ejpam-5737	263	4	has	have	VERB
ejpam-5737	263	5	a	a	DET
ejpam-5737	263	6	posteriors	posterior	NOUN
ejpam-5737	263	7	-	-	PUNCT
ejpam-5737	263	8	expectation	expectation	NOUN
ejpam-5737	263	9	of	of	ADP
ejpam-5737	263	10	eω(l1(ω̂−	eω(l1(ω̂−	ADJ
ejpam-5737	263	11	ω	ω	NUM
ejpam-5737	263	12	)	)	PUNCT
ejpam-5737	263	13	)	)	PUNCT
ejpam-5737	264	1	∝	∝	PROPN
ejpam-5737	264	2	ecω̂eω(e	ecω̂eω(e	NOUN
ejpam-5737	264	3	(	(	PUNCT
ejpam-5737	264	4	−cω))−	−cω))−	X
ejpam-5737	264	5	c(ω̂−	c(ω̂−	PROPN
ejpam-5737	264	6	eω(ω)−	eω(ω)−	NOUN
ejpam-5737	264	7	1	1	NUM
ejpam-5737	264	8	.	.	PUNCT
ejpam-5737	265	1	(	(	PUNCT
ejpam-5737	265	2	25	25	NUM
ejpam-5737	265	3	)	)	PUNCT
ejpam-5737	265	4	the	the	DET
ejpam-5737	265	5	value	value	NOUN
ejpam-5737	265	6	of	of	ADP
ejpam-5737	265	7	ω̂	ω̂	PUNCT
ejpam-5737	265	8	under	under	ADP
ejpam-5737	265	9	the	the	DET
ejpam-5737	265	10	linex	linex	ADJ
ejpam-5737	265	11	loss	loss	NOUN
ejpam-5737	265	12	function	function	NOUN
ejpam-5737	265	13	,	,	PUNCT
ejpam-5737	265	14	the	the	DET
ejpam-5737	265	15	bayes	bayes	PROPN
ejpam-5737	265	16	estimator	estimator	NOUN
ejpam-5737	265	17	is	be	AUX
ejpam-5737	265	18	ω̂linex	ω̂linex	NOUN
ejpam-5737	265	19	=	=	SYM
ejpam-5737	265	20	−1	−1	NOUN
ejpam-5737	265	21	c	c	NOUN
ejpam-5737	265	22	log(eω[e	log(eω[e	NOUN
ejpam-5737	265	23	(	(	PUNCT
ejpam-5737	265	24	−cω	−cω	PROPN
ejpam-5737	265	25	)	)	PUNCT
ejpam-5737	265	26	]	]	PUNCT
ejpam-5737	265	27	)	)	PUNCT
ejpam-5737	265	28	.	.	PUNCT
ejpam-5737	266	1	(	(	PUNCT
ejpam-5737	266	2	26	26	NUM
ejpam-5737	266	3	)	)	PUNCT
ejpam-5737	266	4	in	in	ADP
ejpam-5737	266	5	this	this	DET
ejpam-5737	266	6	way	way	NOUN
ejpam-5737	266	7	eω(e	eω(e	PUNCT
ejpam-5737	266	8	(	(	PUNCT
ejpam-5737	266	9	−cω	−cω	NOUN
ejpam-5737	266	10	)	)	PUNCT
ejpam-5737	266	11	)	)	PUNCT
ejpam-5737	266	12	exists	exist	VERB
ejpam-5737	266	13	,	,	PUNCT
ejpam-5737	266	14	after	after	ADP
ejpam-5737	266	15	creating	create	VERB
ejpam-5737	266	16	β	β	PROPN
ejpam-5737	266	17	and	and	CCONJ
ejpam-5737	266	18	ξ	ξ	PROPN
ejpam-5737	266	19	,	,	PUNCT
ejpam-5737	266	20	the	the	DET
ejpam-5737	266	21	bayes	bayes	PROPN
ejpam-5737	266	22	estimates	estimate	NOUN
ejpam-5737	266	23	of	of	ADP
ejpam-5737	266	24	entropy	entropy	NOUN
ejpam-5737	266	25	is	be	AUX
ejpam-5737	266	26	calculated	calculate	VERB
ejpam-5737	266	27	from	from	ADP
ejpam-5737	266	28	the	the	DET
ejpam-5737	266	29	posterior	posterior	ADJ
ejpam-5737	266	30	density	density	NOUN
ejpam-5737	266	31	functions	function	NOUN
ejpam-5737	266	32	.	.	PUNCT
ejpam-5737	267	1	given	give	VERB
ejpam-5737	267	2	adaptive	adaptive	ADJ
ejpam-5737	267	3	progressive	progressive	ADJ
ejpam-5737	267	4	type	type	NOUN
ejpam-5737	267	5	-	-	PUNCT
ejpam-5737	267	6	ii	ii	NOUN
ejpam-5737	267	7	censored	censor	VERB
ejpam-5737	267	8	data	datum	NOUN
ejpam-5737	267	9	,	,	PUNCT
ejpam-5737	267	10	the	the	DET
ejpam-5737	267	11	mcmc	mcmc	PROPN
ejpam-5737	267	12	algorithm	algorithm	PROPN
ejpam-5737	267	13	will	will	AUX
ejpam-5737	267	14	execute	execute	VERB
ejpam-5737	267	15	the	the	DET
ejpam-5737	267	16	subsequent	subsequent	ADJ
ejpam-5737	267	17	procedures	procedure	NOUN
ejpam-5737	267	18	:	:	PUNCT
ejpam-5737	267	19	step	step	NOUN
ejpam-5737	267	20	1	1	NUM
ejpam-5737	267	21	:	:	PUNCT
ejpam-5737	267	22	choose	choose	VERB
ejpam-5737	267	23	an	an	DET
ejpam-5737	267	24	initial	initial	ADJ
ejpam-5737	267	25	guess	guess	NOUN
ejpam-5737	267	26	for	for	ADP
ejpam-5737	267	27	(	(	PUNCT
ejpam-5737	267	28	β	β	X
ejpam-5737	267	29	,	,	PUNCT
ejpam-5737	267	30	ξ	ξ	NOUN
ejpam-5737	267	31	)	)	PUNCT
ejpam-5737	267	32	,	,	PUNCT
ejpam-5737	267	33	denoted	denote	VERB
ejpam-5737	267	34	by	by	ADP
ejpam-5737	267	35	(	(	PUNCT
ejpam-5737	267	36	β(0	β(0	PROPN
ejpam-5737	267	37	)	)	PUNCT
ejpam-5737	267	38	,	,	PUNCT
ejpam-5737	267	39	ξ(0	ξ(0	NOUN
ejpam-5737	267	40	)	)	PUNCT
ejpam-5737	267	41	)	)	PUNCT
ejpam-5737	267	42	.	.	PUNCT
ejpam-5737	268	1	step	step	NOUN
ejpam-5737	268	2	2	2	NUM
ejpam-5737	268	3	:	:	PUNCT
ejpam-5737	268	4	assign	assign	VERB
ejpam-5737	268	5	w	w	PROPN
ejpam-5737	268	6	=	=	NOUN
ejpam-5737	268	7	1	1	X
ejpam-5737	268	8	.	.	X
ejpam-5737	268	9	step	step	NOUN
ejpam-5737	268	10	3	3	NUM
ejpam-5737	268	11	:	:	PUNCT
ejpam-5737	268	12	using	use	VERB
ejpam-5737	268	13	gamma	gamma	NOUN
ejpam-5737	268	14	(	(	PUNCT
ejpam-5737	268	15	r+a	r+a	PROPN
ejpam-5737	268	16	,	,	PUNCT
ejpam-5737	268	17	(	(	PUNCT
ejpam-5737	268	18	b−	b−	PROPN
ejpam-5737	268	19	(	(	PUNCT
ejpam-5737	268	20	r+	r+	X
ejpam-5737	268	21	(	(	PUNCT
ejpam-5737	268	22	r∑	r∑	X
ejpam-5737	268	23	i=1	i=1	X
ejpam-5737	268	24	ri)+r∗	ri)+r∗	ADJ
ejpam-5737	268	25	r	r	NOUN
ejpam-5737	268	26	)	)	PUNCT
ejpam-5737	268	27	log(ξ)+	log(ξ)+	NOUN
ejpam-5737	268	28	r∑	r∑	NOUN
ejpam-5737	268	29	i=1	i=1	PROPN
ejpam-5737	268	30	log(ξ+xi)+	log(ξ+xi)+	NOUN
ejpam-5737	268	31	j∑	j∑	PROPN
ejpam-5737	268	32	i=1	i=1	PROPN
ejpam-5737	268	33	ri	ri	PROPN
ejpam-5737	268	34	log(ξ+	log(ξ+	PROPN
ejpam-5737	268	35	xi	xi	ADP
ejpam-5737	268	36	)	)	PUNCT
ejpam-5737	269	1	+	+	CCONJ
ejpam-5737	269	2	r∗	r∗	VERB
ejpam-5737	269	3	n	n	CCONJ
ejpam-5737	269	4	log(ξ	log(ξ	PROPN
ejpam-5737	269	5	+	+	PROPN
ejpam-5737	269	6	xr	xr	PROPN
ejpam-5737	269	7	)	)	PUNCT
ejpam-5737	269	8	)	)	PUNCT
ejpam-5737	269	9	)	)	PUNCT
ejpam-5737	269	10	to	to	PART
ejpam-5737	269	11	generate	generate	VERB
ejpam-5737	269	12	β(w	β(w	NOUN
ejpam-5737	269	13	)	)	PUNCT
ejpam-5737	269	14	.	.	PUNCT
ejpam-5737	270	1	step	step	NOUN
ejpam-5737	270	2	4	4	NUM
ejpam-5737	270	3	:	:	PUNCT
ejpam-5737	270	4	applying	apply	VERB
ejpam-5737	270	5	m	m	PROPN
ejpam-5737	270	6	-	-	NOUN
ejpam-5737	270	7	h	h	NOUN
ejpam-5737	270	8	to	to	ADP
ejpam-5737	270	9	πξ(ξ|β	πξ(ξ|β	NOUN
ejpam-5737	270	10	,	,	PUNCT
ejpam-5737	270	11	x	x	NOUN
ejpam-5737	270	12	)	)	PUNCT
ejpam-5737	270	13	to	to	PART
ejpam-5737	270	14	produce	produce	VERB
ejpam-5737	270	15	ξ(w	ξ(w	PROPN
ejpam-5737	270	16	)	)	PUNCT
ejpam-5737	270	17	,	,	PUNCT
ejpam-5737	270	18	with	with	ADP
ejpam-5737	270	19	the	the	DET
ejpam-5737	270	20	n(ξ(w−1	n(ξ(w−1	NOUN
ejpam-5737	270	21	)	)	PUNCT
ejpam-5737	270	22	,	,	PUNCT
ejpam-5737	270	23	var(ξ̂	var(ξ̂	ADJ
ejpam-5737	270	24	)	)	PUNCT
ejpam-5737	270	25	)	)	PUNCT
ejpam-5737	270	26	proposal	proposal	NOUN
ejpam-5737	270	27	distribution	distribution	NOUN
ejpam-5737	270	28	.	.	PUNCT
ejpam-5737	271	1	m	m	PROPN
ejpam-5737	271	2	-	-	ADJ
ejpam-5737	271	3	h	h	PROPN
ejpam-5737	271	4	algorithm	algorithm	NOUN
ejpam-5737	271	5	1	1	NUM
ejpam-5737	271	6	.	.	PUNCT
ejpam-5737	271	7	create	create	VERB
ejpam-5737	271	8	ξ(∗	ξ(∗	NUM
ejpam-5737	271	9	)	)	PUNCT
ejpam-5737	271	10	as	as	ADP
ejpam-5737	271	11	a	a	DET
ejpam-5737	271	12	starting	starting	NOUN
ejpam-5737	271	13	point	point	NOUN
ejpam-5737	271	14	,	,	PUNCT
ejpam-5737	271	15	for	for	ADP
ejpam-5737	271	16	which	which	PRON
ejpam-5737	271	17	πξ	πξ	PROPN
ejpam-5737	271	18	(	(	PUNCT
ejpam-5737	271	19	ξ(w−1	ξ(w−1	PROPN
ejpam-5737	271	20	)	)	PUNCT
ejpam-5737	271	21	,	,	PUNCT
ejpam-5737	271	22	var(ξ̂	var(ξ̂	NOUN
ejpam-5737	271	23	)	)	PUNCT
ejpam-5737	271	24	)	)	PUNCT
ejpam-5737	271	25	.	.	PUNCT
ejpam-5737	272	1	2	2	X
ejpam-5737	272	2	.	.	X
ejpam-5737	272	3	determine	determine	VERB
ejpam-5737	272	4	the	the	DET
ejpam-5737	272	5	likelihood	likelihood	NOUN
ejpam-5737	272	6	of	of	ADP
ejpam-5737	272	7	acceptance	acceptance	NOUN
ejpam-5737	272	8	ρξ	ρξ	VERB
ejpam-5737	272	9	=	=	SYM
ejpam-5737	272	10	min	min	NOUN
ejpam-5737	272	11	1	1	PROPN
ejpam-5737	272	12	,	,	PUNCT
ejpam-5737	272	13	πξ	πξ	PROPN
ejpam-5737	272	14	(	(	PUNCT
ejpam-5737	272	15	ξ∗	ξ∗	ADJ
ejpam-5737	272	16	,	,	PUNCT
ejpam-5737	272	17	var(ξ̂	var(ξ̂	ADJ
ejpam-5737	272	18	)	)	PUNCT
ejpam-5737	272	19	)	)	PUNCT
ejpam-5737	272	20	πξ	πξ	PROPN
ejpam-5737	272	21	(	(	PUNCT
ejpam-5737	272	22	ξ(w−1	ξ(w−1	PROPN
ejpam-5737	272	23	)	)	PUNCT
ejpam-5737	272	24	,	,	PUNCT
ejpam-5737	272	25	var(ξ̂	var(ξ̂	ADJ
ejpam-5737	272	26	)	)	PUNCT
ejpam-5737	272	27	)	)	PUNCT
ejpam-5737	272	28			NOUN
ejpam-5737	272	29	.	.	PUNCT
ejpam-5737	273	1	(	(	PUNCT
ejpam-5737	273	2	27	27	NUM
ejpam-5737	273	3	)	)	PUNCT
ejpam-5737	273	4	and	and	CCONJ
ejpam-5737	273	5	generate	generate	VERB
ejpam-5737	273	6	u	u	NOUN
ejpam-5737	273	7	∼	∼	NOUN
ejpam-5737	273	8	u	u	NOUN
ejpam-5737	273	9	(	(	PUNCT
ejpam-5737	273	10	0	0	NUM
ejpam-5737	273	11	,	,	PUNCT
ejpam-5737	273	12	1	1	NUM
ejpam-5737	273	13	)	)	PUNCT
ejpam-5737	273	14	.	.	PUNCT
ejpam-5737	274	1	3	3	X
ejpam-5737	274	2	.	.	X
ejpam-5737	274	3	if	if	SCONJ
ejpam-5737	274	4	the	the	DET
ejpam-5737	274	5	suggestion	suggestion	NOUN
ejpam-5737	274	6	is	be	AUX
ejpam-5737	274	7	accepted	accept	VERB
ejpam-5737	274	8	by	by	ADP
ejpam-5737	274	9	u	u	PROPN
ejpam-5737	274	10	≤	≤	X
ejpam-5737	274	11	ρξ	ρξ	VERB
ejpam-5737	274	12	,	,	PUNCT
ejpam-5737	274	13	then	then	ADV
ejpam-5737	274	14	set	set	VERB
ejpam-5737	274	15	ξ(∗	ξ(∗	PRON
ejpam-5737	274	16	)	)	PUNCT
ejpam-5737	274	17	=	=	SYM
ejpam-5737	274	18	ξ(w	ξ(w	PROPN
ejpam-5737	274	19	)	)	PUNCT
ejpam-5737	274	20	.	.	PUNCT
ejpam-5737	275	1	if	if	SCONJ
ejpam-5737	275	2	not	not	PART
ejpam-5737	275	3	,	,	PUNCT
ejpam-5737	275	4	turn	turn	VERB
ejpam-5737	275	5	down	down	ADP
ejpam-5737	275	6	the	the	DET
ejpam-5737	275	7	proposal	proposal	NOUN
ejpam-5737	275	8	s.	s.	PROPN
ejpam-5737	275	9	m.	m.	PROPN
ejpam-5737	275	10	ahmed	ahmed	PROPN
ejpam-5737	275	11	,	,	PUNCT
ejpam-5737	275	12	g.	g.	PROPN
ejpam-5737	275	13	m.	m.	PROPN
ejpam-5737	275	14	ismail	ismail	PROPN
ejpam-5737	275	15	/	/	SYM
ejpam-5737	275	16	eur	eur	PROPN
ejpam-5737	275	17	.	.	PUNCT
ejpam-5737	276	1	j.	j.	PROPN
ejpam-5737	276	2	pure	pure	PROPN
ejpam-5737	276	3	appl	appl	PROPN
ejpam-5737	276	4	.	.	PROPN
ejpam-5737	276	5	math	math	PROPN
ejpam-5737	276	6	,	,	PUNCT
ejpam-5737	276	7	18	18	NUM
ejpam-5737	276	8	(	(	PUNCT
ejpam-5737	276	9	1	1	NUM
ejpam-5737	276	10	)	)	PUNCT
ejpam-5737	276	11	(	(	PUNCT
ejpam-5737	276	12	2025	2025	NUM
ejpam-5737	276	13	)	)	PUNCT
ejpam-5737	276	14	,	,	PUNCT
ejpam-5737	276	15	5737	5737	NUM
ejpam-5737	276	16	10	10	NUM
ejpam-5737	276	17	of	of	ADP
ejpam-5737	276	18	22	22	NUM
ejpam-5737	276	19	step	step	NOUN
ejpam-5737	276	20	5	5	NUM
ejpam-5737	276	21	:	:	PUNCT
ejpam-5737	276	22	determine	determine	VERB
ejpam-5737	276	23	h1(f	h1(f	NOUN
ejpam-5737	276	24	)	)	PUNCT
ejpam-5737	276	25	using	use	VERB
ejpam-5737	276	26	eq	eq	X
ejpam-5737	276	27	.	.	PUNCT
ejpam-5737	276	28	(	(	PUNCT
ejpam-5737	276	29	5	5	NUM
ejpam-5737	276	30	)	)	PUNCT
ejpam-5737	276	31	.	.	PUNCT
ejpam-5737	277	1	step	step	NOUN
ejpam-5737	277	2	6	6	NUM
ejpam-5737	277	3	:	:	PUNCT
ejpam-5737	277	4	assign	assign	VERB
ejpam-5737	277	5	w	w	PROPN
ejpam-5737	277	6	=	=	SYM
ejpam-5737	277	7	w	w	PROPN
ejpam-5737	278	1	+	+	NOUN
ejpam-5737	278	2	1	1	X
ejpam-5737	278	3	.	.	X
ejpam-5737	278	4	step	step	NOUN
ejpam-5737	278	5	7	7	NUM
ejpam-5737	278	6	:	:	PUNCT
ejpam-5737	278	7	steps	step	NOUN
ejpam-5737	278	8	3−	3−	NUM
ejpam-5737	278	9	5	5	NUM
ejpam-5737	278	10	n	n	NOUN
ejpam-5737	278	11	should	should	AUX
ejpam-5737	278	12	be	be	AUX
ejpam-5737	278	13	repeated	repeat	VERB
ejpam-5737	278	14	step	step	NOUN
ejpam-5737	278	15	8	8	NUM
ejpam-5737	278	16	:	:	PUNCT
ejpam-5737	278	17	determine	determine	VERB
ejpam-5737	278	18	r	r	NOUN
ejpam-5737	278	19	’s	’s	PART
ejpam-5737	278	20	bayes	bayes	PROPN
ejpam-5737	278	21	estimator	estimator	NOUN
ejpam-5737	278	22	regarding	regard	VERB
ejpam-5737	278	23	the	the	DET
ejpam-5737	278	24	se	se	PROPN
ejpam-5737	278	25	loss	loss	NOUN
ejpam-5737	278	26	function	function	NOUN
ejpam-5737	278	27	as	as	ADP
ejpam-5737	278	28	ĥse(f	ĥse(f	NOUN
ejpam-5737	278	29	)	)	PUNCT
ejpam-5737	278	30	=	=	SYM
ejpam-5737	279	1	n∑	n∑	NOUN
ejpam-5737	279	2	i	i	PRON
ejpam-5737	279	3	=	=	NOUN
ejpam-5737	279	4	m+1	m+1	PROPN
ejpam-5737	279	5	h(i)(f	h(i)(f	NUM
ejpam-5737	279	6	)	)	PUNCT
ejpam-5737	279	7	n	n	PRON
ejpam-5737	279	8	−m	−m	NOUN
ejpam-5737	279	9	,	,	PUNCT
ejpam-5737	279	10	(	(	PUNCT
ejpam-5737	279	11	28	28	NUM
ejpam-5737	279	12	)	)	PUNCT
ejpam-5737	279	13	with	with	ADP
ejpam-5737	279	14	respect	respect	NOUN
ejpam-5737	279	15	to	to	ADP
ejpam-5737	279	16	the	the	DET
ejpam-5737	279	17	linex	linex	ADJ
ejpam-5737	279	18	loss	loss	NOUN
ejpam-5737	279	19	function	function	NOUN
ejpam-5737	279	20	,	,	PUNCT
ejpam-5737	279	21	h(f	h(f	PROPN
ejpam-5737	279	22	)	)	PUNCT
ejpam-5737	279	23	’s	’s	PART
ejpam-5737	279	24	bayes	bayes	PROPN
ejpam-5737	279	25	estimator	estimator	NOUN
ejpam-5737	279	26	as	as	ADP
ejpam-5737	279	27	ĥlinex(f	ĥlinex(f	PROPN
ejpam-5737	279	28	)	)	PUNCT
ejpam-5737	279	29	=	=	PUNCT
ejpam-5737	280	1	−1	−1	NOUN
ejpam-5737	280	2	c	c	NOUN
ejpam-5737	280	3	log	log	NOUN
ejpam-5737	280	4			PROPN
ejpam-5737	280	5	n∑	n∑	PROPN
ejpam-5737	280	6	i	i	PROPN
ejpam-5737	280	7	=	=	NOUN
ejpam-5737	280	8	m+1	m+1	NUM
ejpam-5737	280	9	e−ch(i)(f	e−ch(i)(f	PROPN
ejpam-5737	280	10	)	)	PUNCT
ejpam-5737	280	11	n	n	CCONJ
ejpam-5737	280	12	−m	−m	NOUN
ejpam-5737	280	13			ADJ
ejpam-5737	280	14	,	,	PUNCT
ejpam-5737	280	15	(	(	PUNCT
ejpam-5737	280	16	29	29	NUM
ejpam-5737	280	17	)	)	PUNCT
ejpam-5737	280	18	where	where	SCONJ
ejpam-5737	280	19	m	m	NOUN
ejpam-5737	280	20	is	be	AUX
ejpam-5737	280	21	burned	burn	VERB
ejpam-5737	280	22	in	in	ADP
ejpam-5737	280	23	.	.	PUNCT
ejpam-5737	281	1	2.3.3	2.3.3	NUM
ejpam-5737	281	2	.	.	PUNCT
ejpam-5737	281	3	interval	interval	NOUN
ejpam-5737	281	4	estimation	estimation	NOUN
ejpam-5737	281	5	(	(	PUNCT
ejpam-5737	281	6	1	1	X
ejpam-5737	281	7	)	)	PUNCT
ejpam-5737	281	8	asymptotic	asymptotic	ADJ
ejpam-5737	281	9	confidence	confidence	NOUN
ejpam-5737	281	10	intervals	interval	NOUN
ejpam-5737	281	11	for	for	ADP
ejpam-5737	281	12	mle	mle	NOUN
ejpam-5737	281	13	,	,	PUNCT
ejpam-5737	281	14	the	the	DET
ejpam-5737	281	15	asymptotic	asymptotic	ADJ
ejpam-5737	281	16	normality	normality	NOUN
ejpam-5737	281	17	is	be	AUX
ejpam-5737	281	18	used	use	VERB
ejpam-5737	281	19	to	to	PART
ejpam-5737	281	20	construct	construct	VERB
ejpam-5737	281	21	the	the	DET
ejpam-5737	281	22	parameters	parameter	NOUN
ejpam-5737	281	23	asymptotic	asymptotic	ADJ
ejpam-5737	281	24	confidence	confidence	NOUN
ejpam-5737	281	25	intervals	interval	NOUN
ejpam-5737	281	26	(	(	PUNCT
ejpam-5737	281	27	acis	acis	PROPN
ejpam-5737	281	28	)	)	PUNCT
ejpam-5737	281	29	.	.	PUNCT
ejpam-5737	282	1	the	the	DET
ejpam-5737	282	2	fisher	fisher	PROPN
ejpam-5737	282	3	information	information	NOUN
ejpam-5737	282	4	matrix	matrix	NOUN
ejpam-5737	282	5	defines	define	VERB
ejpam-5737	282	6	the	the	DET
ejpam-5737	282	7	negative	negative	ADJ
ejpam-5737	282	8	expectation	expectation	NOUN
ejpam-5737	282	9	of	of	ADP
ejpam-5737	282	10	the	the	DET
ejpam-5737	282	11	second	second	ADJ
ejpam-5737	282	12	derivatives	derivative	NOUN
ejpam-5737	282	13	of	of	ADP
ejpam-5737	282	14	the	the	DET
ejpam-5737	282	15	log	log	NOUN
ejpam-5737	282	16	-	-	PUNCT
ejpam-5737	282	17	likelihood	likelihood	NOUN
ejpam-5737	282	18	function	function	NOUN
ejpam-5737	282	19	aboutthe	aboutthe	VERB
ejpam-5737	282	20	the	the	DET
ejpam-5737	282	21	model	model	NOUN
ejpam-5737	282	22	parameters	parameter	NOUN
ejpam-5737	282	23	.	.	PUNCT
ejpam-5737	283	1	the	the	DET
ejpam-5737	283	2	anticipation	anticipation	NOUN
ejpam-5737	283	3	of	of	ADP
ejpam-5737	283	4	the	the	DET
ejpam-5737	283	5	second	second	ADJ
ejpam-5737	283	6	derivative	derivative	NOUN
ejpam-5737	283	7	is	be	AUX
ejpam-5737	283	8	typically	typically	ADV
ejpam-5737	283	9	more	more	ADV
ejpam-5737	283	10	significant	significant	ADJ
ejpam-5737	283	11	in	in	ADP
ejpam-5737	283	12	more	more	ADJ
ejpam-5737	283	13	circumstances	circumstance	NOUN
ejpam-5737	283	14	.	.	PUNCT
ejpam-5737	284	1	the	the	DET
ejpam-5737	284	2	observed	observe	VERB
ejpam-5737	284	3	fisher	fisher	PROPN
ejpam-5737	284	4	information	information	NOUN
ejpam-5737	284	5	matrix	matrix	NOUN
ejpam-5737	284	6	therefore	therefore	ADV
ejpam-5737	284	7	provides	provide	VERB
ejpam-5737	284	8	an	an	DET
ejpam-5737	284	9	appropriate	appropriate	ADJ
ejpam-5737	284	10	approximation	approximation	NOUN
ejpam-5737	284	11	that	that	PRON
ejpam-5737	284	12	may	may	AUX
ejpam-5737	284	13	be	be	AUX
ejpam-5737	284	14	utilized	utilize	VERB
ejpam-5737	284	15	to	to	PART
ejpam-5737	284	16	build	build	VERB
ejpam-5737	284	17	interval	interval	NOUN
ejpam-5737	284	18	estimation	estimation	NOUN
ejpam-5737	284	19	in	in	ADP
ejpam-5737	284	20	the	the	DET
ejpam-5737	284	21	manner	manner	NOUN
ejpam-5737	284	22	described	describe	VERB
ejpam-5737	284	23	below	below	ADV
ejpam-5737	284	24	.	.	PUNCT
ejpam-5737	285	1	the	the	DET
ejpam-5737	285	2	model	model	PROPN
ejpam-5737	285	3	parameter	parameter	PROPN
ejpam-5737	285	4	vector	vector	PROPN
ejpam-5737	285	5	’s	’s	PART
ejpam-5737	285	6	second	second	ADJ
ejpam-5737	285	7	derivative	derivative	ADJ
ejpam-5737	285	8	ω	ω	NOUN
ejpam-5737	285	9	=	=	SYM
ejpam-5737	285	10	(	(	PUNCT
ejpam-5737	285	11	β	β	X
ejpam-5737	285	12	,	,	PUNCT
ejpam-5737	285	13	ξ	ξ	NOUN
ejpam-5737	285	14	)	)	PUNCT
ejpam-5737	285	15	log	log	NOUN
ejpam-5737	285	16	-	-	PUNCT
ejpam-5737	285	17	likelihood	likelihood	NOUN
ejpam-5737	285	18	function	function	NOUN
ejpam-5737	285	19	is	be	AUX
ejpam-5737	285	20	i0	i0	PROPN
ejpam-5737	285	21	with	with	ADP
ejpam-5737	285	22	using	use	VERB
ejpam-5737	285	23	an	an	DET
ejpam-5737	285	24	adaptive	adaptive	ADJ
ejpam-5737	285	25	progressive	progressive	ADJ
ejpam-5737	285	26	type	type	NOUN
ejpam-5737	285	27	-	-	PUNCT
ejpam-5737	285	28	ii	ii	NOUN
ejpam-5737	285	29	censored	censor	VERB
ejpam-5737	285	30	.	.	PUNCT
ejpam-5737	286	1	data	datum	NOUN
ejpam-5737	286	2	:	:	PUNCT
ejpam-5737	286	3	i0(ω	i0(ω	NUM
ejpam-5737	286	4	)	)	PUNCT
ejpam-5737	286	5	=	=	SYM
ejpam-5737	287	1	[	[	PUNCT
ejpam-5737	287	2	−∂2ℓ	−∂2ℓ	X
ejpam-5737	287	3	(	(	PUNCT
ejpam-5737	287	4	β	β	X
ejpam-5737	287	5	,	,	PUNCT
ejpam-5737	287	6	ξ	ξ	PROPN
ejpam-5737	287	7	|	|	NOUN
ejpam-5737	287	8	x	x	NOUN
ejpam-5737	287	9	)	)	PUNCT
ejpam-5737	287	10	∂β∂	∂β∂	PROPN
ejpam-5737	287	11	ξ	ξ	X
ejpam-5737	287	12	]	]	PUNCT
ejpam-5737	287	13	,	,	PUNCT
ejpam-5737	287	14	(	(	PUNCT
ejpam-5737	287	15	30	30	NUM
ejpam-5737	287	16	)	)	PUNCT
ejpam-5737	287	17	∂2l	∂2l	NOUN
ejpam-5737	287	18	(	(	PUNCT
ejpam-5737	287	19	β	β	X
ejpam-5737	287	20	,	,	PUNCT
ejpam-5737	287	21	ξ	ξ	PROPN
ejpam-5737	287	22	|	|	NOUN
ejpam-5737	287	23	x	x	NOUN
ejpam-5737	287	24	)	)	PUNCT
ejpam-5737	287	25	∂β2	∂β2	VERB
ejpam-5737	287	26	=	=	PUNCT
ejpam-5737	287	27	−	−	NOUN
ejpam-5737	287	28	r	r	NOUN
ejpam-5737	287	29	β2	β2	NOUN
ejpam-5737	287	30	,	,	PUNCT
ejpam-5737	287	31	(	(	PUNCT
ejpam-5737	287	32	31	31	NUM
ejpam-5737	287	33	)	)	PUNCT
ejpam-5737	287	34	∂2l	∂2l	NOUN
ejpam-5737	287	35	(	(	PUNCT
ejpam-5737	287	36	β	β	X
ejpam-5737	287	37	,	,	PUNCT
ejpam-5737	287	38	ξ	ξ	PROPN
ejpam-5737	287	39	|	|	NOUN
ejpam-5737	287	40	x	x	NOUN
ejpam-5737	287	41	)	)	PUNCT
ejpam-5737	287	42	∂β∂ξ	∂β∂ξ	NOUN
ejpam-5737	287	43	=	=	SYM
ejpam-5737	287	44	∂2l	∂2l	NOUN
ejpam-5737	287	45	(	(	PUNCT
ejpam-5737	287	46	β	β	X
ejpam-5737	287	47	,	,	PUNCT
ejpam-5737	287	48	ξ	ξ	PROPN
ejpam-5737	287	49	|	|	NOUN
ejpam-5737	287	50	x	x	NOUN
ejpam-5737	287	51	)	)	PUNCT
ejpam-5737	287	52	∂ξ∂β	∂ξ∂β	NOUN
ejpam-5737	287	53	=	=	SYM
ejpam-5737	287	54	(	(	PUNCT
ejpam-5737	287	55	r	r	NOUN
ejpam-5737	287	56	+	+	CCONJ
ejpam-5737	287	57	j∑	j∑	PROPN
ejpam-5737	287	58	i=1	i=1	PROPN
ejpam-5737	287	59	ri	ri	PROPN
ejpam-5737	287	60	)	)	PUNCT
ejpam-5737	288	1	ξ	ξ	X
ejpam-5737	288	2	−	−	NOUN
ejpam-5737	288	3	r∑	r∑	NOUN
ejpam-5737	288	4	i=1	i=1	PROPN
ejpam-5737	288	5	1	1	NUM
ejpam-5737	288	6	(	(	PUNCT
ejpam-5737	288	7	ξ	ξ	PROPN
ejpam-5737	288	8	+	+	NUM
ejpam-5737	288	9	xi	xi	NOUN
ejpam-5737	288	10	)	)	PUNCT
ejpam-5737	288	11	−	−	PROPN
ejpam-5737	289	1	j∑	j∑	PROPN
ejpam-5737	289	2	i=1	i=1	PROPN
ejpam-5737	290	1	ri	ri	PROPN
ejpam-5737	290	2	(	(	PUNCT
ejpam-5737	290	3	ξ	ξ	PROPN
ejpam-5737	290	4	+	+	NUM
ejpam-5737	290	5	xi	xi	NUM
ejpam-5737	290	6	)	)	PUNCT
ejpam-5737	290	7	−	−	NOUN
ejpam-5737	291	1	r∗	r∗	PROPN
ejpam-5737	291	2	r	r	NOUN
ejpam-5737	291	3	(	(	PUNCT
ejpam-5737	291	4	ξ	ξ	PROPN
ejpam-5737	291	5	+	+	NUM
ejpam-5737	291	6	xi	xi	NUM
ejpam-5737	291	7	)	)	PUNCT
ejpam-5737	291	8	,	,	PUNCT
ejpam-5737	291	9	(	(	PUNCT
ejpam-5737	291	10	32	32	NUM
ejpam-5737	291	11	)	)	PUNCT
ejpam-5737	291	12	∂2l	∂2l	NOUN
ejpam-5737	291	13	(	(	PUNCT
ejpam-5737	291	14	β	β	X
ejpam-5737	291	15	,	,	PUNCT
ejpam-5737	291	16	ξ	ξ	PROPN
ejpam-5737	291	17	|	|	NOUN
ejpam-5737	291	18	x	x	NOUN
ejpam-5737	291	19	)	)	PUNCT
ejpam-5737	291	20	∂ξ2	∂ξ2	NOUN
ejpam-5737	291	21	=	=	PUNCT
ejpam-5737	291	22	(	(	PUNCT
ejpam-5737	291	23	r	r	NOUN
ejpam-5737	291	24	+	+	CCONJ
ejpam-5737	291	25	j∑	j∑	PROPN
ejpam-5737	291	26	i=1	i=1	PROPN
ejpam-5737	291	27	ri)β	ri)β	PROPN
ejpam-5737	291	28	ξ2	ξ2	NOUN
ejpam-5737	291	29	+	+	NOUN
ejpam-5737	291	30	(	(	PUNCT
ejpam-5737	291	31	β+1	β+1	NUM
ejpam-5737	291	32	)	)	PUNCT
ejpam-5737	291	33	n∑	n∑	NOUN
ejpam-5737	291	34	i=1	i=1	PROPN
ejpam-5737	291	35	1	1	NUM
ejpam-5737	291	36	(	(	PUNCT
ejpam-5737	291	37	ξ	ξ	PROPN
ejpam-5737	291	38	+	+	CCONJ
ejpam-5737	291	39	xi)2	xi)2	PROPN
ejpam-5737	291	40	+	+	PUNCT
ejpam-5737	291	41	β	β	PROPN
ejpam-5737	291	42	j∑	j∑	PROPN
ejpam-5737	291	43	i=1	i=1	PROPN
ejpam-5737	291	44	ri	ri	PROPN
ejpam-5737	291	45	(	(	PUNCT
ejpam-5737	291	46	ξ	ξ	PROPN
ejpam-5737	291	47	+	+	CCONJ
ejpam-5737	291	48	xi)2	xi)2	PROPN
ejpam-5737	291	49	+	+	NUM
ejpam-5737	291	50	βr∗	βr∗	X
ejpam-5737	291	51	r	r	NOUN
ejpam-5737	291	52	(	(	PUNCT
ejpam-5737	291	53	ξ	ξ	PROPN
ejpam-5737	291	54	+	+	CCONJ
ejpam-5737	291	55	xi)2	xi)2	PROPN
ejpam-5737	291	56	.	.	PUNCT
ejpam-5737	292	1	(	(	PUNCT
ejpam-5737	292	2	33	33	NUM
ejpam-5737	292	3	)	)	PUNCT
ejpam-5737	292	4	s.	s.	PROPN
ejpam-5737	292	5	m.	m.	PROPN
ejpam-5737	292	6	ahmed	ahmed	PROPN
ejpam-5737	292	7	,	,	PUNCT
ejpam-5737	292	8	g.	g.	PROPN
ejpam-5737	292	9	m.	m.	PROPN
ejpam-5737	292	10	ismail	ismail	PROPN
ejpam-5737	292	11	/	/	SYM
ejpam-5737	292	12	eur	eur	PROPN
ejpam-5737	292	13	.	.	PUNCT
ejpam-5737	293	1	j.	j.	PROPN
ejpam-5737	293	2	pure	pure	PROPN
ejpam-5737	293	3	appl	appl	PROPN
ejpam-5737	293	4	.	.	PROPN
ejpam-5737	293	5	math	math	PROPN
ejpam-5737	293	6	,	,	PUNCT
ejpam-5737	293	7	18	18	NUM
ejpam-5737	293	8	(	(	PUNCT
ejpam-5737	293	9	1	1	NUM
ejpam-5737	293	10	)	)	PUNCT
ejpam-5737	293	11	(	(	PUNCT
ejpam-5737	293	12	2025	2025	NUM
ejpam-5737	293	13	)	)	PUNCT
ejpam-5737	293	14	,	,	PUNCT
ejpam-5737	293	15	5737	5737	NUM
ejpam-5737	293	16	11	11	NUM
ejpam-5737	293	17	of	of	ADP
ejpam-5737	293	18	22	22	NUM
ejpam-5737	293	19	next	next	ADJ
ejpam-5737	293	20	,	,	PUNCT
ejpam-5737	293	21	i0(ω	i0(ω	PROPN
ejpam-5737	293	22	)	)	PUNCT
ejpam-5737	293	23	,	,	PUNCT
ejpam-5737	293	24	the	the	DET
ejpam-5737	293	25	observed	observed	ADJ
ejpam-5737	293	26	information	information	NOUN
ejpam-5737	293	27	matrix	matrix	NOUN
ejpam-5737	293	28	,	,	PUNCT
ejpam-5737	293	29	identifies	identify	VERB
ejpam-5737	293	30	the	the	DET
ejpam-5737	293	31	vector	vector	PROPN
ejpam-5737	293	32	parameter	parameter	PROPN
ejpam-5737	293	33	ω	ω	PROPN
ejpam-5737	293	34	’s	’s	PART
ejpam-5737	293	35	ml	ml	NOUN
ejpam-5737	293	36	estimate	estimate	NOUN
ejpam-5737	293	37	.	.	PUNCT
ejpam-5737	294	1	it	it	PRON
ejpam-5737	294	2	is	be	AUX
ejpam-5737	294	3	now	now	ADV
ejpam-5737	294	4	possible	possible	ADJ
ejpam-5737	294	5	to	to	PART
ejpam-5737	294	6	distribute	distribute	VERB
ejpam-5737	294	7	the	the	DET
ejpam-5737	294	8	mle	mle	PROPN
ejpam-5737	294	9	asymptotic	asymptotic	ADJ
ejpam-5737	294	10	distribution	distribution	NOUN
ejpam-5737	294	11	theory	theory	NOUN
ejpam-5737	294	12	as	as	ADP
ejpam-5737	294	13	i−1	i−1	PROPN
ejpam-5737	294	14	0	0	NUM
ejpam-5737	294	15	(	(	PUNCT
ejpam-5737	294	16	ω̂	ω̂	NUM
ejpam-5737	294	17	)	)	PUNCT
ejpam-5737	294	18	is	be	AUX
ejpam-5737	294	19	the	the	DET
ejpam-5737	294	20	variance	variance	NOUN
ejpam-5737	294	21	covariance	covariance	NOUN
ejpam-5737	294	22	matrix	matrix	NOUN
ejpam-5737	294	23	for	for	ADP
ejpam-5737	294	24	the	the	DET
ejpam-5737	294	25	mean	mean	ADJ
ejpam-5737	294	26	ω	ω	NOUN
ejpam-5737	294	27	of	of	ADP
ejpam-5737	294	28	a	a	DET
ejpam-5737	294	29	bivariate	bivariate	ADJ
ejpam-5737	294	30	normal	normal	ADJ
ejpam-5737	294	31	distribution	distribution	NOUN
ejpam-5737	294	32	satisfies	satisfie	NOUN
ejpam-5737	294	33	standard	standard	ADJ
ejpam-5737	294	34	regularity	regularity	NOUN
ejpam-5737	294	35	requirements	requirement	NOUN
ejpam-5737	294	36	let	let	VERB
ejpam-5737	294	37	ω̂	ω̂	PROPN
ejpam-5737	294	38	−→	−→	NOUN
ejpam-5737	294	39	n(ω	n(ω	NOUN
ejpam-5737	294	40	,	,	PUNCT
ejpam-5737	294	41	i−1	i−1	PROPN
ejpam-5737	294	42	0	0	NUM
ejpam-5737	294	43	(	(	PUNCT
ejpam-5737	294	44	ω̂	ω̂	NUM
ejpam-5737	294	45	)	)	PUNCT
ejpam-5737	294	46	)	)	PUNCT
ejpam-5737	294	47	.	.	PUNCT
ejpam-5737	295	1	using	use	VERB
ejpam-5737	295	2	the	the	DET
ejpam-5737	295	3	delta	delta	NOUN
ejpam-5737	295	4	approach	approach	NOUN
ejpam-5737	295	5	,	,	PUNCT
ejpam-5737	295	6	to	to	PART
ejpam-5737	295	7	obtain	obtain	VERB
ejpam-5737	295	8	an	an	DET
ejpam-5737	295	9	approximate	approximate	ADJ
ejpam-5737	295	10	estimation	estimation	NOUN
ejpam-5737	295	11	of	of	ADP
ejpam-5737	295	12	the	the	DET
ejpam-5737	295	13	entropy	entropy	PROPN
ejpam-5737	295	14	variance	variance	PROPN
ejpam-5737	295	15	,	,	PUNCT
ejpam-5737	295	16	allow	allow	VERB
ejpam-5737	295	17	a	a	PRON
ejpam-5737	295	18	=	=	X
ejpam-5737	295	19	(	(	PUNCT
ejpam-5737	295	20	∂h(f	∂h(f	NOUN
ejpam-5737	295	21	)	)	PUNCT
ejpam-5737	295	22	∂β	∂β	PROPN
ejpam-5737	295	23	,	,	PUNCT
ejpam-5737	295	24	∂h(f	∂h(f	NOUN
ejpam-5737	295	25	)	)	PUNCT
ejpam-5737	295	26	∂ξ	∂ξ	PROPN
ejpam-5737	295	27	)	)	PUNCT
ejpam-5737	295	28	,	,	PUNCT
ejpam-5737	295	29	(	(	PUNCT
ejpam-5737	295	30	34	34	NUM
ejpam-5737	295	31	)	)	PUNCT
ejpam-5737	295	32	where	where	SCONJ
ejpam-5737	295	33	the	the	DET
ejpam-5737	295	34	first	first	ADJ
ejpam-5737	295	35	derivatives	derivative	NOUN
ejpam-5737	295	36	of	of	ADP
ejpam-5737	295	37	the	the	DET
ejpam-5737	295	38	h(f	h(f	NOUN
ejpam-5737	295	39	)	)	PUNCT
ejpam-5737	295	40	in	in	ADP
ejpam-5737	295	41	relation	relation	NOUN
ejpam-5737	295	42	to	to	ADP
ejpam-5737	295	43	the	the	DET
ejpam-5737	295	44	parameters	parameter	NOUN
ejpam-5737	295	45	β	β	X
ejpam-5737	295	46	and	and	CCONJ
ejpam-5737	295	47	ξ	ξ	PROPN
ejpam-5737	295	48	are	be	AUX
ejpam-5737	295	49	∂h(f	∂h(f	NOUN
ejpam-5737	295	50	)	)	PUNCT
ejpam-5737	295	51	∂β	∂β	PROPN
ejpam-5737	295	52	and	and	CCONJ
ejpam-5737	295	53	∂h(f	∂h(f	NOUN
ejpam-5737	295	54	)	)	PUNCT
ejpam-5737	295	55	∂ξ	∂ξ	NOUN
ejpam-5737	295	56	:	:	PUNCT
ejpam-5737	295	57	h(f	h(f	X
ejpam-5737	295	58	)	)	PUNCT
ejpam-5737	296	1	=	=	SYM
ejpam-5737	296	2	−	−	PROPN
ejpam-5737	297	1	log(β	log(β	PROPN
ejpam-5737	297	2	ξβ	ξβ	NOUN
ejpam-5737	297	3	)	)	PUNCT
ejpam-5737	297	4	+	+	CCONJ
ejpam-5737	297	5	(	(	PUNCT
ejpam-5737	297	6	β	β	X
ejpam-5737	297	7	+	+	X
ejpam-5737	297	8	1)[log(ξ	1)[log(ξ	NUM
ejpam-5737	297	9	)	)	PUNCT
ejpam-5737	298	1	+	+	CCONJ
ejpam-5737	298	2	1	1	NUM
ejpam-5737	298	3	β	β	X
ejpam-5737	298	4	]	]	X
ejpam-5737	298	5	,	,	PUNCT
ejpam-5737	298	6	(	(	PUNCT
ejpam-5737	298	7	35	35	NUM
ejpam-5737	298	8	)	)	PUNCT
ejpam-5737	298	9	∂h(f	∂h(f	NOUN
ejpam-5737	298	10	)	)	PUNCT
ejpam-5737	299	1	∂β	∂β	PROPN
ejpam-5737	299	2	=	=	PUNCT
ejpam-5737	300	1	−	−	NOUN
ejpam-5737	300	2	ξβ	ξβ	PROPN
ejpam-5737	300	3	+	+	CCONJ
ejpam-5737	300	4	βξβ	βξβ	PROPN
ejpam-5737	300	5	log(ξ	log(ξ	PROPN
ejpam-5737	300	6	)	)	PUNCT
ejpam-5737	301	1	β	β	NOUN
ejpam-5737	301	2	ξβ	ξβ	NOUN
ejpam-5737	301	3	+	+	PROPN
ejpam-5737	301	4	log(ξ	log(ξ	PROPN
ejpam-5737	301	5	)	)	PUNCT
ejpam-5737	302	1	+	+	CCONJ
ejpam-5737	302	2	1	1	NUM
ejpam-5737	302	3	β	β	X
ejpam-5737	302	4	−	−	PROPN
ejpam-5737	302	5	(	(	PUNCT
ejpam-5737	302	6	β	β	X
ejpam-5737	302	7	+	+	NOUN
ejpam-5737	302	8	1	1	X
ejpam-5737	302	9	)	)	PUNCT
ejpam-5737	302	10	β2	β2	NOUN
ejpam-5737	302	11	=	=	PUNCT
ejpam-5737	302	12	−	−	PROPN
ejpam-5737	303	1	1	1	NUM
ejpam-5737	303	2	β	β	X
ejpam-5737	303	3	−	−	PROPN
ejpam-5737	303	4	log(ξ	log(ξ	PROPN
ejpam-5737	303	5	)	)	PUNCT
ejpam-5737	304	1	+	+	SYM
ejpam-5737	305	1	log(ξ	log(ξ	PROPN
ejpam-5737	305	2	)	)	PUNCT
ejpam-5737	306	1	+	+	CCONJ
ejpam-5737	306	2	1	1	NUM
ejpam-5737	306	3	β	β	NOUN
ejpam-5737	306	4	−	−	PROPN
ejpam-5737	306	5	1	1	NUM
ejpam-5737	306	6	β	β	NOUN
ejpam-5737	306	7	−	−	PROPN
ejpam-5737	306	8	1	1	NUM
ejpam-5737	306	9	β2	β2	NOUN
ejpam-5737	306	10	=	=	PROPN
ejpam-5737	306	11	−β	−β	NOUN
ejpam-5737	306	12	+	+	CCONJ
ejpam-5737	306	13	1	1	NUM
ejpam-5737	306	14	β2	β2	NOUN
ejpam-5737	306	15	,	,	PUNCT
ejpam-5737	306	16	(	(	PUNCT
ejpam-5737	306	17	36	36	NUM
ejpam-5737	306	18	)	)	PUNCT
ejpam-5737	306	19	∂h(f	∂h(f	NOUN
ejpam-5737	306	20	)	)	PUNCT
ejpam-5737	306	21	∂ξ	∂ξ	NOUN
ejpam-5737	307	1	=	=	PUNCT
ejpam-5737	307	2	−β2ξβ−1	−β2ξβ−1	NOUN
ejpam-5737	307	3	β	β	SYM
ejpam-5737	307	4	ξβ	ξβ	NOUN
ejpam-5737	307	5	+	+	CCONJ
ejpam-5737	307	6	(	(	PUNCT
ejpam-5737	307	7	β	β	X
ejpam-5737	307	8	+	+	NOUN
ejpam-5737	307	9	1	1	X
ejpam-5737	307	10	)	)	PUNCT
ejpam-5737	307	11	ξ	ξ	NOUN
ejpam-5737	307	12	=	=	SYM
ejpam-5737	307	13	−	−	PROPN
ejpam-5737	307	14	β	β	X
ejpam-5737	307	15	ξ	ξ	X
ejpam-5737	308	1	+	+	PUNCT
ejpam-5737	308	2	(	(	PUNCT
ejpam-5737	308	3	β	β	X
ejpam-5737	308	4	+	+	NOUN
ejpam-5737	308	5	1	1	X
ejpam-5737	308	6	)	)	PUNCT
ejpam-5737	308	7	ξ	ξ	NOUN
ejpam-5737	308	8	=	=	SYM
ejpam-5737	308	9	1	1	NUM
ejpam-5737	308	10	ξ	ξ	PROPN
ejpam-5737	308	11	,	,	PUNCT
ejpam-5737	308	12	(	(	PUNCT
ejpam-5737	308	13	37	37	NUM
ejpam-5737	308	14	)	)	PUNCT
ejpam-5737	308	15	ˆh(f	ˆh(f	NUM
ejpam-5737	308	16	)	)	PUNCT
ejpam-5737	308	17	’s	’	VERB
ejpam-5737	308	18	estimated	estimate	VERB
ejpam-5737	308	19	asymptotic	asymptotic	ADJ
ejpam-5737	308	20	variance	variance	NOUN
ejpam-5737	308	21	is	be	AUX
ejpam-5737	308	22	provided	provide	VERB
ejpam-5737	308	23	by	by	ADP
ejpam-5737	308	24	var	var	NOUN
ejpam-5737	308	25	(	(	PUNCT
ejpam-5737	308	26	ˆh(f	ˆh(f	NUM
ejpam-5737	308	27	)	)	PUNCT
ejpam-5737	308	28	)	)	PUNCT
ejpam-5737	309	1	−→	−→	NOUN
ejpam-5737	309	2	[	[	PUNCT
ejpam-5737	309	3	ai−1	ai−1	PROPN
ejpam-5737	309	4	0	0	NUM
ejpam-5737	309	5	at	at	ADP
ejpam-5737	309	6	]	]	PUNCT
ejpam-5737	309	7	|(β̂	|(β̂	PROPN
ejpam-5737	309	8	,	,	PUNCT
ejpam-5737	309	9	ξ̂	ξ̂	NOUN
ejpam-5737	309	10	)	)	PUNCT
ejpam-5737	309	11	.	.	PUNCT
ejpam-5737	310	1	where	where	SCONJ
ejpam-5737	310	2	at	at	ADP
ejpam-5737	310	3	is	be	AUX
ejpam-5737	310	4	the	the	DET
ejpam-5737	310	5	transpose	transpose	NOUN
ejpam-5737	310	6	of	of	ADP
ejpam-5737	310	7	a	a	PRON
ejpam-5737	310	8	,	,	PUNCT
ejpam-5737	310	9	the	the	DET
ejpam-5737	310	10	mle	mle	NOUN
ejpam-5737	310	11	ˆh(f	ˆh(f	NOUN
ejpam-5737	310	12	)	)	PUNCT
ejpam-5737	310	13	of	of	ADP
ejpam-5737	310	14	h(f	h(f	PROPN
ejpam-5737	310	15	)	)	PUNCT
ejpam-5737	310	16	has	have	VERB
ejpam-5737	310	17	an	an	DET
ejpam-5737	310	18	asymptotic	asymptotic	ADJ
ejpam-5737	310	19	distribution	distribution	NOUN
ejpam-5737	310	20	.	.	PUNCT
ejpam-5737	311	1	as	as	ADP
ejpam-5737	311	2	a	a	DET
ejpam-5737	311	3	result	result	NOUN
ejpam-5737	311	4	,	,	PUNCT
ejpam-5737	311	5	the	the	DET
ejpam-5737	311	6	asymptotic	asymptotic	ADJ
ejpam-5737	311	7	100(1−	100(1−	NUM
ejpam-5737	311	8	α)%	α)%	NOUN
ejpam-5737	311	9	confidence	confidence	NOUN
ejpam-5737	311	10	interval	interval	NOUN
ejpam-5737	311	11	for	for	ADP
ejpam-5737	311	12	h(f	h(f	NOUN
ejpam-5737	311	13	)	)	PUNCT
ejpam-5737	311	14	is	be	AUX
ejpam-5737	311	15	as	as	SCONJ
ejpam-5737	311	16	follows	follow	VERB
ejpam-5737	311	17	:	:	PUNCT
ejpam-5737	311	18	ˆh(f)±	ˆh(f)±	PROPN
ejpam-5737	311	19	zα/2	zα/2	NOUN
ejpam-5737	312	1	√	√	ADP
ejpam-5737	312	2	var	var	PROPN
ejpam-5737	312	3	(	(	PUNCT
ejpam-5737	312	4	ˆh(f	ˆh(f	NOUN
ejpam-5737	312	5	)	)	PUNCT
ejpam-5737	312	6	)	)	PUNCT
ejpam-5737	312	7	.	.	PUNCT
ejpam-5737	313	1	(	(	PUNCT
ejpam-5737	313	2	38	38	NUM
ejpam-5737	313	3	)	)	PUNCT
ejpam-5737	313	4	(	(	PUNCT
ejpam-5737	313	5	2	2	X
ejpam-5737	313	6	)	)	PUNCT
ejpam-5737	313	7	bootstrap	bootstrap	NOUN
ejpam-5737	313	8	confidence	confidence	NOUN
ejpam-5737	313	9	intervals	interval	NOUN
ejpam-5737	313	10	this	this	DET
ejpam-5737	313	11	part	part	NOUN
ejpam-5737	313	12	uses	use	VERB
ejpam-5737	313	13	the	the	DET
ejpam-5737	313	14	percentile	percentile	ADJ
ejpam-5737	313	15	interval	interval	NOUN
ejpam-5737	313	16	to	to	PART
ejpam-5737	313	17	create	create	VERB
ejpam-5737	313	18	intervals	interval	NOUN
ejpam-5737	313	19	of	of	ADP
ejpam-5737	313	20	confidence	confidence	NOUN
ejpam-5737	313	21	derived	derive	VERB
ejpam-5737	313	22	by	by	ADP
ejpam-5737	313	23	applying	apply	VERB
ejpam-5737	313	24	the	the	DET
ejpam-5737	313	25	parametric	parametric	ADJ
ejpam-5737	313	26	bootstrap	bootstrap	NOUN
ejpam-5737	313	27	method	method	NOUN
ejpam-5737	313	28	to	to	ADP
ejpam-5737	313	29	the	the	DET
ejpam-5737	313	30	unknown	unknown	ADJ
ejpam-5737	313	31	parameters	parameter	NOUN
ejpam-5737	313	32	using	use	VERB
ejpam-5737	313	33	an	an	DET
ejpam-5737	313	34	adaptive	adaptive	ADJ
ejpam-5737	313	35	progressive	progressive	ADJ
ejpam-5737	313	36	type	type	NOUN
ejpam-5737	313	37	-	-	PUNCT
ejpam-5737	313	38	ii	ii	NOUN
ejpam-5737	313	39	censored	censor	VERB
ejpam-5737	313	40	data	datum	NOUN
ejpam-5737	313	41	,	,	PUNCT
ejpam-5737	313	42	see	see	VERB
ejpam-5737	313	43	efron	efron	PROPN
ejpam-5737	314	1	[	[	X
ejpam-5737	314	2	44	44	NUM
ejpam-5737	314	3	]	]	PUNCT
ejpam-5737	314	4	for	for	ADP
ejpam-5737	314	5	more	more	ADJ
ejpam-5737	314	6	information	information	NOUN
ejpam-5737	314	7	about	about	ADP
ejpam-5737	314	8	bootstrap	bootstrap	NOUN
ejpam-5737	314	9	confidence	confidence	NOUN
ejpam-5737	314	10	intervals	interval	NOUN
ejpam-5737	314	11	.	.	PUNCT
ejpam-5737	315	1	to	to	PART
ejpam-5737	315	2	get	get	VERB
ejpam-5737	315	3	a	a	DET
ejpam-5737	315	4	bootstrap	bootstrap	NOUN
ejpam-5737	315	5	sample	sample	NOUN
ejpam-5737	315	6	,	,	PUNCT
ejpam-5737	315	7	the	the	DET
ejpam-5737	315	8	following	follow	VERB
ejpam-5737	315	9	algorithm	algorithm	NOUN
ejpam-5737	315	10	is	be	AUX
ejpam-5737	315	11	developed	develop	VERB
ejpam-5737	315	12	:	:	PUNCT
ejpam-5737	315	13	s.	s.	PROPN
ejpam-5737	315	14	m.	m.	PROPN
ejpam-5737	315	15	ahmed	ahmed	PROPN
ejpam-5737	315	16	,	,	PUNCT
ejpam-5737	315	17	g.	g.	PROPN
ejpam-5737	315	18	m.	m.	PROPN
ejpam-5737	315	19	ismail	ismail	PROPN
ejpam-5737	315	20	/	/	SYM
ejpam-5737	315	21	eur	eur	PROPN
ejpam-5737	315	22	.	.	PUNCT
ejpam-5737	316	1	j.	j.	PROPN
ejpam-5737	316	2	pure	pure	PROPN
ejpam-5737	316	3	appl	appl	PROPN
ejpam-5737	316	4	.	.	PROPN
ejpam-5737	316	5	math	math	PROPN
ejpam-5737	316	6	,	,	PUNCT
ejpam-5737	316	7	18	18	NUM
ejpam-5737	316	8	(	(	PUNCT
ejpam-5737	316	9	1	1	NUM
ejpam-5737	316	10	)	)	PUNCT
ejpam-5737	316	11	(	(	PUNCT
ejpam-5737	316	12	2025	2025	NUM
ejpam-5737	316	13	)	)	PUNCT
ejpam-5737	316	14	,	,	PUNCT
ejpam-5737	316	15	5737	5737	NUM
ejpam-5737	316	16	12	12	NUM
ejpam-5737	316	17	of	of	ADP
ejpam-5737	316	18	22	22	NUM
ejpam-5737	316	19	1	1	NUM
ejpam-5737	316	20	.	.	PUNCT
ejpam-5737	317	1	get	get	VERB
ejpam-5737	317	2	mles	mle	NOUN
ejpam-5737	317	3	β̂	β̂	ADP
ejpam-5737	317	4	,	,	PUNCT
ejpam-5737	317	5	ξ̂	ξ̂	NOUN
ejpam-5737	317	6	and	and	CCONJ
ejpam-5737	317	7	ĥ(f	ĥ(f	NOUN
ejpam-5737	317	8	)	)	PUNCT
ejpam-5737	317	9	from	from	ADP
ejpam-5737	317	10	the	the	DET
ejpam-5737	317	11	initial	initial	ADJ
ejpam-5737	317	12	two	two	NUM
ejpam-5737	317	13	samples	sample	NOUN
ejpam-5737	317	14	{	{	PUNCT
ejpam-5737	317	15	x1	x1	PROPN
ejpam-5737	317	16	,	,	PUNCT
ejpam-5737	317	17	x2	x2	PROPN
ejpam-5737	317	18	,	,	PUNCT
ejpam-5737	317	19	...	...	PUNCT
ejpam-5737	317	20	,	,	PUNCT
ejpam-5737	317	21	xn	xn	PROPN
ejpam-5737	317	22	}	}	PUNCT
ejpam-5737	317	23	.	.	PUNCT
ejpam-5737	318	1	2	2	X
ejpam-5737	318	2	.	.	X
ejpam-5737	318	3	the	the	DET
ejpam-5737	318	4	bootstrap	bootstrap	NOUN
ejpam-5737	318	5	estimate	estimate	NOUN
ejpam-5737	318	6	of	of	ADP
ejpam-5737	318	7	β	β	X
ejpam-5737	318	8	,	,	PUNCT
ejpam-5737	318	9	ξ	ξ	PROPN
ejpam-5737	318	10	and	and	CCONJ
ejpam-5737	318	11	h(f	h(f	NUM
ejpam-5737	318	12	)	)	PUNCT
ejpam-5737	318	13	is	be	AUX
ejpam-5737	318	14	calculated	calculate	VERB
ejpam-5737	318	15	by	by	ADP
ejpam-5737	318	16	generating	generate	VERB
ejpam-5737	318	17	a	a	DET
ejpam-5737	318	18	bootstrap	bootstrap	NOUN
ejpam-5737	318	19	sample	sample	NOUN
ejpam-5737	318	20	{	{	PUNCT
ejpam-5737	318	21	x∗1	x∗1	ADV
ejpam-5737	318	22	,	,	PUNCT
ejpam-5737	318	23	x∗2	x∗2	PROPN
ejpam-5737	318	24	,	,	PUNCT
ejpam-5737	318	25	...	...	PUNCT
ejpam-5737	318	26	,	,	PUNCT
ejpam-5737	318	27	x∗n	x∗n	X
ejpam-5737	318	28	}	}	PUNCT
ejpam-5737	318	29	using	use	VERB
ejpam-5737	318	30	β̂	β̂	ADP
ejpam-5737	318	31	,	,	PUNCT
ejpam-5737	318	32	ξ̂	ξ̂	NOUN
ejpam-5737	318	33	and	and	CCONJ
ejpam-5737	318	34	ĥ(f	ĥ(f	NOUN
ejpam-5737	318	35	)	)	PUNCT
ejpam-5737	318	36	.	.	PUNCT
ejpam-5737	319	1	3	3	X
ejpam-5737	319	2	.	.	PUNCT
ejpam-5737	319	3	to	to	PART
ejpam-5737	319	4	acquire	acquire	VERB
ejpam-5737	319	5	the	the	DET
ejpam-5737	319	6	bootstrap	bootstrap	NOUN
ejpam-5737	319	7	samples	sample	NOUN
ejpam-5737	319	8	,	,	PUNCT
ejpam-5737	319	9	repeat	repeat	NOUN
ejpam-5737	319	10	steps	step	NOUN
ejpam-5737	319	11	(	(	PUNCT
ejpam-5737	319	12	1	1	NUM
ejpam-5737	319	13	)	)	PUNCT
ejpam-5737	319	14	through	through	ADP
ejpam-5737	319	15	(	(	PUNCT
ejpam-5737	319	16	2	2	NUM
ejpam-5737	319	17	)	)	PUNCT
ejpam-5737	319	18	n	n	PRON
ejpam-5737	319	19	times	time	NOUN
ejpam-5737	319	20	,	,	PUNCT
ejpam-5737	319	21	making	make	VERB
ejpam-5737	319	22	sure	sure	ADJ
ejpam-5737	319	23	that	that	SCONJ
ejpam-5737	319	24	each	each	DET
ejpam-5737	319	25	estimate	estimate	NOUN
ejpam-5737	319	26	is	be	AUX
ejpam-5737	319	27	arranged	arrange	VERB
ejpam-5737	319	28	in	in	ADP
ejpam-5737	319	29	ascending	ascend	VERB
ejpam-5737	319	30	order	order	NOUN
ejpam-5737	319	31	:	:	PUNCT
ejpam-5737	319	32	{	{	PUNCT
ejpam-5737	319	33	ĥm+1(f	ĥm+1(f	NOUN
ejpam-5737	319	34	)	)	PUNCT
ejpam-5737	319	35	,	,	PUNCT
ejpam-5737	319	36	ĥm+2(f	ĥm+2(f	PROPN
ejpam-5737	319	37	)	)	PUNCT
ejpam-5737	319	38	,	,	PUNCT
ejpam-5737	319	39	...	...	PUNCT
ejpam-5737	319	40	,	,	PUNCT
ejpam-5737	319	41	ĥn−m	ĥn−m	X
ejpam-5737	319	42	(	(	PUNCT
ejpam-5737	319	43	f	f	X
ejpam-5737	319	44	)	)	PUNCT
ejpam-5737	319	45	}	}	PUNCT
ejpam-5737	319	46	the	the	DET
ejpam-5737	319	47	approximate	approximate	ADJ
ejpam-5737	319	48	confidence	confidence	NOUN
ejpam-5737	319	49	interval	interval	NOUN
ejpam-5737	319	50	for	for	ADP
ejpam-5737	319	51	ˆh(f	ˆh(f	NOUN
ejpam-5737	319	52	)	)	PUNCT
ejpam-5737	319	53	at	at	ADP
ejpam-5737	319	54	100(1−	100(1−	NUM
ejpam-5737	319	55	α)%	α)%	NOUN
ejpam-5737	319	56	is	be	AUX
ejpam-5737	319	57	provided	provide	VERB
ejpam-5737	319	58	by	by	ADP
ejpam-5737	319	59	(	(	PUNCT
ejpam-5737	319	60	ĥi((n−m)α	ĥi((n−m)α	PROPN
ejpam-5737	319	61	2	2	NUM
ejpam-5737	319	62	)	)	PUNCT
ejpam-5737	319	63	(	(	PUNCT
ejpam-5737	319	64	f	f	X
ejpam-5737	319	65	)	)	PUNCT
ejpam-5737	319	66	,	,	PUNCT
ejpam-5737	319	67	ĥi((n−m)(1−α	ĥi((n−m)(1−α	ADJ
ejpam-5737	319	68	2	2	NUM
ejpam-5737	319	69	)	)	PUNCT
ejpam-5737	319	70	)	)	PUNCT
ejpam-5737	320	1	(	(	PUNCT
ejpam-5737	320	2	f	f	X
ejpam-5737	320	3	)	)	PUNCT
ejpam-5737	320	4	)	)	PUNCT
ejpam-5737	320	5	,	,	PUNCT
ejpam-5737	320	6	i	i	PRON
ejpam-5737	320	7	=	=	VERB
ejpam-5737	320	8	m	m	VERB
ejpam-5737	320	9	+	+	ADJ
ejpam-5737	320	10	1	1	NUM
ejpam-5737	320	11	,	,	PUNCT
ejpam-5737	320	12	.....	.....	PUNCT
ejpam-5737	321	1	n.	n.	NOUN
ejpam-5737	321	2	(	(	PUNCT
ejpam-5737	321	3	3	3	NUM
ejpam-5737	321	4	)	)	PUNCT
ejpam-5737	321	5	credible	credible	ADJ
ejpam-5737	321	6	confidence	confidence	NOUN
ejpam-5737	321	7	intervals	interval	NOUN
ejpam-5737	321	8	for	for	ADP
ejpam-5737	321	9	a	a	DET
ejpam-5737	321	10	random	random	ADJ
ejpam-5737	321	11	quantity	quantity	NOUN
ejpam-5737	321	12	,	,	PUNCT
ejpam-5737	321	13	a	a	DET
ejpam-5737	321	14	posterior	posterior	NOUN
ejpam-5737	321	15	or	or	CCONJ
ejpam-5737	321	16	100	100	NUM
ejpam-5737	321	17	(	(	PUNCT
ejpam-5737	321	18	1	1	NUM
ejpam-5737	321	19	−	−	NOUN
ejpam-5737	321	20	α)%	α)%	NOUN
ejpam-5737	321	21	bayesian	bayesian	NOUN
ejpam-5737	321	22	credible	credible	ADJ
ejpam-5737	321	23	interval	interval	NOUN
ejpam-5737	321	24	the	the	DET
ejpam-5737	321	25	interval	interval	NOUN
ejpam-5737	321	26	denoted	denote	VERB
ejpam-5737	321	27	by	by	ADP
ejpam-5737	321	28	ω	ω	PROPN
ejpam-5737	321	29	is	be	AUX
ejpam-5737	321	30	where	where	SCONJ
ejpam-5737	321	31	the	the	DET
ejpam-5737	321	32	posterior	posterior	ADJ
ejpam-5737	321	33	probability	probability	NOUN
ejpam-5737	321	34	(	(	PUNCT
ejpam-5737	321	35	1−	1−	NUM
ejpam-5737	321	36	α	α	NOUN
ejpam-5737	321	37	)	)	PUNCT
ejpam-5737	321	38	that	that	PRON
ejpam-5737	321	39	ω	ω	PROPN
ejpam-5737	321	40	is	be	AUX
ejpam-5737	321	41	situated	situate	VERB
ejpam-5737	321	42	.	.	PUNCT
ejpam-5737	322	1	the	the	DET
ejpam-5737	322	2	procedure	procedure	NOUN
ejpam-5737	322	3	below	below	ADV
ejpam-5737	322	4	is	be	AUX
ejpam-5737	322	5	used	use	VERB
ejpam-5737	322	6	to	to	PART
ejpam-5737	322	7	get	get	VERB
ejpam-5737	322	8	reliable	reliable	ADJ
ejpam-5737	322	9	h(f	h(f	NOUN
ejpam-5737	322	10	)	)	PUNCT
ejpam-5737	322	11	confidence	confidence	NOUN
ejpam-5737	322	12	intervals	interval	NOUN
ejpam-5737	322	13	.	.	PUNCT
ejpam-5737	323	1	algorithm	algorithm	NOUN
ejpam-5737	323	2	(	(	PUNCT
ejpam-5737	323	3	2	2	NUM
ejpam-5737	323	4	)	)	PUNCT
ejpam-5737	323	5	1	1	NUM
ejpam-5737	323	6	.	.	PUNCT
ejpam-5737	324	1	in	in	ADP
ejpam-5737	324	2	algorithm	algorithm	NOUN
ejpam-5737	324	3	(	(	PUNCT
ejpam-5737	324	4	1	1	NUM
ejpam-5737	324	5	)	)	PUNCT
ejpam-5737	324	6	,	,	PUNCT
ejpam-5737	324	7	repeat	repeat	NOUN
ejpam-5737	324	8	steps	step	NOUN
ejpam-5737	324	9	(	(	PUNCT
ejpam-5737	324	10	1	1	NUM
ejpam-5737	324	11	)	)	PUNCT
ejpam-5737	324	12	through	through	ADP
ejpam-5737	324	13	(	(	PUNCT
ejpam-5737	324	14	5	5	NUM
ejpam-5737	324	15	)	)	PUNCT
ejpam-5737	324	16	.	.	PUNCT
ejpam-5737	325	1	2	2	X
ejpam-5737	325	2	.	.	X
ejpam-5737	325	3	the	the	DET
ejpam-5737	325	4	bayesian	bayesian	NOUN
ejpam-5737	325	5	credible	credible	ADJ
ejpam-5737	325	6	interval	interval	NOUN
ejpam-5737	325	7	for	for	ADP
ejpam-5737	325	8	the	the	DET
ejpam-5737	325	9	h(f	h(f	NOUN
ejpam-5737	325	10	)	)	PUNCT
ejpam-5737	325	11	is	be	AUX
ejpam-5737	325	12	then	then	ADV
ejpam-5737	325	13	established	establish	VERB
ejpam-5737	325	14	using	use	VERB
ejpam-5737	325	15	the	the	DET
ejpam-5737	325	16	generated	generate	VERB
ejpam-5737	325	17	mcmc	mcmc	PROPN
ejpam-5737	325	18	samples	sample	NOUN
ejpam-5737	325	19	using	use	VERB
ejpam-5737	325	20	the	the	DET
ejpam-5737	325	21	algorithm	algorithm	NOUN
ejpam-5737	325	22	chen	chen	PROPN
ejpam-5737	325	23	and	and	CCONJ
ejpam-5737	325	24	shao	shao	PROPN
ejpam-5737	326	1	[	[	X
ejpam-5737	326	2	45	45	NUM
ejpam-5737	326	3	]	]	PUNCT
ejpam-5737	326	4	developed	develop	VERB
ejpam-5737	326	5	.	.	PUNCT
ejpam-5737	327	1	the	the	DET
ejpam-5737	327	2	posterior	posterior	ADJ
ejpam-5737	327	3	sample	sample	NOUN
ejpam-5737	327	4	is	be	AUX
ejpam-5737	327	5	arranged	arrange	VERB
ejpam-5737	327	6	as	as	SCONJ
ejpam-5737	327	7	follows	follow	VERB
ejpam-5737	327	8	:	:	PUNCT
ejpam-5737	327	9	ĥm+1(f	ĥm+1(f	NUM
ejpam-5737	327	10	)	)	PUNCT
ejpam-5737	327	11	,	,	PUNCT
ejpam-5737	327	12	ĥm+2(f	ĥm+2(f	PROPN
ejpam-5737	327	13	)	)	PUNCT
ejpam-5737	327	14	,	,	PUNCT
ejpam-5737	327	15	...	...	PUNCT
ejpam-5737	327	16	,	,	PUNCT
ejpam-5737	327	17	ĥn−m	ĥn−m	X
ejpam-5737	327	18	(	(	PUNCT
ejpam-5737	327	19	f	f	NOUN
ejpam-5737	327	20	)	)	PUNCT
ejpam-5737	327	21	.	.	PUNCT
ejpam-5737	328	1	the	the	DET
ejpam-5737	328	2	100(1	100(1	NUM
ejpam-5737	328	3	−	−	PROPN
ejpam-5737	328	4	α)%	α)%	NOUN
ejpam-5737	328	5	hpd	hpd	PROPN
ejpam-5737	328	6	credible	credible	ADJ
ejpam-5737	328	7	intervals	interval	NOUN
ejpam-5737	328	8	for	for	ADP
ejpam-5737	328	9	h(f	h(f	NOUN
ejpam-5737	328	10	)	)	PUNCT
ejpam-5737	328	11	are	be	AUX
ejpam-5737	328	12	obtained	obtain	VERB
ejpam-5737	328	13	by	by	ADP
ejpam-5737	328	14	(	(	PUNCT
ejpam-5737	328	15	ĥi((n−m)α	ĥi((n−m)α	PROPN
ejpam-5737	328	16	2	2	NUM
ejpam-5737	328	17	)	)	PUNCT
ejpam-5737	328	18	(	(	PUNCT
ejpam-5737	328	19	f	f	X
ejpam-5737	328	20	)	)	PUNCT
ejpam-5737	328	21	,	,	PUNCT
ejpam-5737	328	22	ĥi((n−m)(1−α	ĥi((n−m)(1−α	ADJ
ejpam-5737	328	23	2	2	NUM
ejpam-5737	328	24	)	)	PUNCT
ejpam-5737	328	25	)	)	PUNCT
ejpam-5737	329	1	(	(	PUNCT
ejpam-5737	329	2	f	f	X
ejpam-5737	329	3	)	)	PUNCT
ejpam-5737	329	4	)	)	PUNCT
ejpam-5737	329	5	,	,	PUNCT
ejpam-5737	329	6	i	i	PRON
ejpam-5737	329	7	=	=	VERB
ejpam-5737	329	8	m	m	VERB
ejpam-5737	329	9	+	+	ADJ
ejpam-5737	329	10	1	1	NUM
ejpam-5737	329	11	,	,	PUNCT
ejpam-5737	329	12	.....	.....	PUNCT
ejpam-5737	329	13	n.	n.	NOUN
ejpam-5737	329	14	(	(	PUNCT
ejpam-5737	329	15	39	39	NUM
ejpam-5737	329	16	)	)	PUNCT
ejpam-5737	329	17	where	where	SCONJ
ejpam-5737	329	18	α/2	α/2	NUM
ejpam-5737	329	19	displays	display	VERB
ejpam-5737	329	20	the	the	DET
ejpam-5737	329	21	standard	standard	ADJ
ejpam-5737	329	22	normal	normal	ADJ
ejpam-5737	329	23	values	value	NOUN
ejpam-5737	329	24	with	with	ADP
ejpam-5737	329	25	probability	probability	NOUN
ejpam-5737	329	26	tailed	tail	VERB
ejpam-5737	329	27	α	α	NOUN
ejpam-5737	329	28	.	.	PROPN
ejpam-5737	330	1	3	3	NUM
ejpam-5737	330	2	.	.	X
ejpam-5737	330	3	numerical	numerical	PROPN
ejpam-5737	330	4	application	application	PROPN
ejpam-5737	330	5	3.1	3.1	NUM
ejpam-5737	330	6	.	.	PUNCT
ejpam-5737	331	1	simulation	simulation	NOUN
ejpam-5737	331	2	study	study	NOUN
ejpam-5737	331	3	this	this	DET
ejpam-5737	331	4	subsection	subsection	NOUN
ejpam-5737	331	5	compares	compare	VERB
ejpam-5737	331	6	and	and	CCONJ
ejpam-5737	331	7	evaluates	evaluate	VERB
ejpam-5737	331	8	the	the	DET
ejpam-5737	331	9	various	various	ADJ
ejpam-5737	331	10	estimating	estimate	VERB
ejpam-5737	331	11	techniques	technique	NOUN
ejpam-5737	331	12	using	use	VERB
ejpam-5737	331	13	a	a	DET
ejpam-5737	331	14	monte	monte	PROPN
ejpam-5737	331	15	carlo	carlo	PROPN
ejpam-5737	331	16	simulation	simulation	PROPN
ejpam-5737	331	17	study	study	PROPN
ejpam-5737	331	18	.	.	PUNCT
ejpam-5737	332	1	the	the	DET
ejpam-5737	332	2	features	feature	NOUN
ejpam-5737	332	3	and	and	CCONJ
ejpam-5737	332	4	effectiveness	effectiveness	NOUN
ejpam-5737	332	5	of	of	ADP
ejpam-5737	332	6	each	each	DET
ejpam-5737	332	7	estimate	estimate	NOUN
ejpam-5737	332	8	were	be	AUX
ejpam-5737	332	9	also	also	ADV
ejpam-5737	332	10	evaluated	evaluate	VERB
ejpam-5737	332	11	.	.	PUNCT
ejpam-5737	333	1	in	in	ADP
ejpam-5737	333	2	this	this	DET
ejpam-5737	333	3	part	part	NOUN
ejpam-5737	333	4	,	,	PUNCT
ejpam-5737	333	5	we	we	PRON
ejpam-5737	333	6	compare	compare	VERB
ejpam-5737	333	7	the	the	DET
ejpam-5737	333	8	effectiveness	effectiveness	NOUN
ejpam-5737	333	9	of	of	ADP
ejpam-5737	333	10	the	the	DET
ejpam-5737	333	11	different	different	ADJ
ejpam-5737	333	12	methods	method	NOUN
ejpam-5737	333	13	considering	consider	VERB
ejpam-5737	333	14	different	different	ADJ
ejpam-5737	333	15	sample	sample	NOUN
ejpam-5737	333	16	sizes	size	NOUN
ejpam-5737	333	17	and	and	CCONJ
ejpam-5737	333	18	values	value	NOUN
ejpam-5737	333	19	of	of	ADP
ejpam-5737	333	20	parameters	parameter	NOUN
ejpam-5737	333	21	using	use	VERB
ejpam-5737	333	22	example	example	NOUN
ejpam-5737	333	23	findings	finding	NOUN
ejpam-5737	333	24	derived	derive	VERB
ejpam-5737	333	25	from	from	ADP
ejpam-5737	333	26	monte	monte	PROPN
ejpam-5737	333	27	carlo	carlo	PROPN
ejpam-5737	333	28	simulations	simulation	NOUN
ejpam-5737	333	29	.	.	PUNCT
ejpam-5737	334	1	we	we	PRON
ejpam-5737	334	2	evaluate	evaluate	VERB
ejpam-5737	334	3	how	how	SCONJ
ejpam-5737	334	4	well	well	ADV
ejpam-5737	334	5	the	the	DET
ejpam-5737	334	6	bayes	bayes	PROPN
ejpam-5737	334	7	and	and	CCONJ
ejpam-5737	334	8	mle	mle	PROPN
ejpam-5737	334	9	estimates	estimate	NOUN
ejpam-5737	334	10	perform	perform	VERB
ejpam-5737	334	11	about	about	ADP
ejpam-5737	334	12	the	the	DET
ejpam-5737	334	13	mean	mean	ADJ
ejpam-5737	334	14	se	se	X
ejpam-5737	334	15	(	(	PUNCT
ejpam-5737	334	16	mse	mse	PROPN
ejpam-5737	334	17	)	)	PUNCT
ejpam-5737	334	18	.	.	PUNCT
ejpam-5737	335	1	regarding	regard	VERB
ejpam-5737	335	2	coverage	coverage	NOUN
ejpam-5737	335	3	percentages	percentage	NOUN
ejpam-5737	335	4	(	(	PUNCT
ejpam-5737	335	5	cp	cp	NOUN
ejpam-5737	335	6	)	)	PUNCT
ejpam-5737	335	7	and	and	CCONJ
ejpam-5737	335	8	average	average	ADJ
ejpam-5737	335	9	confidence	confidence	NOUN
ejpam-5737	335	10	lengths	length	NOUN
ejpam-5737	335	11	,	,	PUNCT
ejpam-5737	335	12	we	we	PRON
ejpam-5737	335	13	contrast	contrast	VERB
ejpam-5737	335	14	the	the	DET
ejpam-5737	335	15	confidence	confidence	NOUN
ejpam-5737	335	16	intervals	interval	NOUN
ejpam-5737	335	17	derived	derive	VERB
ejpam-5737	335	18	using	use	VERB
ejpam-5737	335	19	the	the	DET
ejpam-5737	335	20	hpd	hpd	PROPN
ejpam-5737	335	21	credible	credible	ADJ
ejpam-5737	335	22	intervals	interval	NOUN
ejpam-5737	335	23	,	,	PUNCT
ejpam-5737	335	24	bootstrap	bootstrap	NOUN
ejpam-5737	335	25	,	,	PUNCT
ejpam-5737	335	26	and	and	CCONJ
ejpam-5737	335	27	mle	mle	NOUN
ejpam-5737	335	28	using	use	VERB
ejpam-5737	335	29	asymptotic	asymptotic	ADJ
ejpam-5737	335	30	distributions	distribution	NOUN
ejpam-5737	335	31	.	.	PUNCT
ejpam-5737	336	1	the	the	DET
ejpam-5737	336	2	parameter	parameter	NOUN
ejpam-5737	336	3	values	value	NOUN
ejpam-5737	336	4	that	that	PRON
ejpam-5737	336	5	we	we	PRON
ejpam-5737	336	6	used	use	VERB
ejpam-5737	336	7	were	be	AUX
ejpam-5737	336	8	β	β	X
ejpam-5737	336	9	=	=	NUM
ejpam-5737	336	10	0.8	0.8	NUM
ejpam-5737	336	11	,	,	PUNCT
ejpam-5737	336	12	ξ	ξ	X
ejpam-5737	336	13	=	=	SYM
ejpam-5737	336	14	0.3	0.3	NUM
ejpam-5737	336	15	and	and	CCONJ
ejpam-5737	336	16	β	β	X
ejpam-5737	336	17	=	=	SYM
ejpam-5737	336	18	1.5	1.5	NUM
ejpam-5737	336	19	,	,	PUNCT
ejpam-5737	336	20	ξ	ξ	X
ejpam-5737	336	21	=	=	SYM
ejpam-5737	336	22	0.5	0.5	NUM
ejpam-5737	336	23	.	.	PUNCT
ejpam-5737	337	1	the	the	DET
ejpam-5737	337	2	sample	sample	NOUN
ejpam-5737	337	3	sizes	size	VERB
ejpam-5737	337	4	that	that	PRON
ejpam-5737	337	5	we	we	PRON
ejpam-5737	337	6	utilized	utilize	VERB
ejpam-5737	337	7	were	be	AUX
ejpam-5737	337	8	as	as	SCONJ
ejpam-5737	337	9	follows	follow	VERB
ejpam-5737	337	10	:	:	PUNCT
ejpam-5737	337	11	(	(	PUNCT
ejpam-5737	337	12	n	n	X
ejpam-5737	337	13	,	,	PUNCT
ejpam-5737	337	14	r	r	NOUN
ejpam-5737	337	15	)	)	PUNCT
ejpam-5737	337	16	=	=	SYM
ejpam-5737	337	17	(	(	PUNCT
ejpam-5737	337	18	80	80	NUM
ejpam-5737	337	19	,	,	PUNCT
ejpam-5737	337	20	50	50	NUM
ejpam-5737	337	21	)	)	PUNCT
ejpam-5737	337	22	,	,	PUNCT
ejpam-5737	337	23	(	(	PUNCT
ejpam-5737	337	24	80	80	NUM
ejpam-5737	337	25	,	,	PUNCT
ejpam-5737	337	26	60	60	NUM
ejpam-5737	337	27	)	)	PUNCT
ejpam-5737	337	28	,	,	PUNCT
ejpam-5737	337	29	(	(	PUNCT
ejpam-5737	337	30	100	100	NUM
ejpam-5737	337	31	,	,	PUNCT
ejpam-5737	337	32	60	60	NUM
ejpam-5737	337	33	)	)	PUNCT
ejpam-5737	337	34	,	,	PUNCT
ejpam-5737	337	35	(	(	PUNCT
ejpam-5737	337	36	100	100	NUM
ejpam-5737	337	37	,	,	PUNCT
ejpam-5737	337	38	80	80	NUM
ejpam-5737	337	39	)	)	PUNCT
ejpam-5737	337	40	.	.	PUNCT
ejpam-5737	338	1	for	for	ADP
ejpam-5737	338	2	the	the	DET
ejpam-5737	338	3	informative	informative	ADJ
ejpam-5737	338	4	hyper	hyper	NOUN
ejpam-5737	338	5	-	-	NOUN
ejpam-5737	338	6	parameters	parameter	NOUN
ejpam-5737	338	7	a	a	DET
ejpam-5737	338	8	=	=	SYM
ejpam-5737	338	9	b	b	NOUN
ejpam-5737	338	10	=	=	SYM
ejpam-5737	338	11	c	c	NOUN
ejpam-5737	338	12	=	=	SYM
ejpam-5737	338	13	d	d	NOUN
ejpam-5737	338	14	=	=	SYM
ejpam-5737	338	15	1	1	X
ejpam-5737	338	16	.	.	PUNCT
ejpam-5737	338	17	the	the	DET
ejpam-5737	338	18	linex	linex	ADJ
ejpam-5737	338	19	loss	loss	NOUN
ejpam-5737	338	20	function	function	NOUN
ejpam-5737	338	21	is	be	AUX
ejpam-5737	338	22	asymmetric	asymmetric	ADJ
ejpam-5737	338	23	,	,	PUNCT
ejpam-5737	338	24	with	with	ADP
ejpam-5737	338	25	the	the	DET
ejpam-5737	338	26	parameter	parameter	NOUN
ejpam-5737	338	27	c	c	NOUN
ejpam-5737	338	28	determining	determine	VERB
ejpam-5737	338	29	the	the	DET
ejpam-5737	338	30	direction	direction	NOUN
ejpam-5737	338	31	of	of	ADP
ejpam-5737	338	32	this	this	DET
ejpam-5737	338	33	asymmetry	asymmetry	NOUN
ejpam-5737	338	34	.	.	PUNCT
ejpam-5737	339	1	for	for	ADP
ejpam-5737	339	2	c	c	PROPN
ejpam-5737	339	3	>	>	X
ejpam-5737	339	4	0	0	PROPN
ejpam-5737	339	5	,	,	PUNCT
ejpam-5737	339	6	overestimation	overestimation	NOUN
ejpam-5737	339	7	incurs	incur	VERB
ejpam-5737	339	8	a	a	DET
ejpam-5737	339	9	higher	high	ADJ
ejpam-5737	339	10	cost	cost	NOUN
ejpam-5737	339	11	than	than	ADP
ejpam-5737	339	12	underestimation	underestimation	NOUN
ejpam-5737	339	13	,	,	PUNCT
ejpam-5737	339	14	the	the	DET
ejpam-5737	339	15	opposite	opposite	NOUN
ejpam-5737	339	16	is	be	AUX
ejpam-5737	339	17	true	true	ADJ
ejpam-5737	339	18	for	for	ADP
ejpam-5737	339	19	c	c	X
ejpam-5737	339	20	<	<	X
ejpam-5737	339	21	0	0	NUM
ejpam-5737	339	22	.	.	PUNCT
ejpam-5737	340	1	as	as	ADP
ejpam-5737	340	2	c	c	PROPN
ejpam-5737	340	3	approaches	approach	NOUN
ejpam-5737	340	4	zero	zero	NUM
ejpam-5737	340	5	,	,	PUNCT
ejpam-5737	340	6	the	the	DET
ejpam-5737	340	7	linex	linex	ADJ
ejpam-5737	340	8	loss	loss	NOUN
ejpam-5737	340	9	s.	s.	PROPN
ejpam-5737	340	10	m.	m.	PROPN
ejpam-5737	340	11	ahmed	ahmed	PROPN
ejpam-5737	340	12	,	,	PUNCT
ejpam-5737	340	13	g.	g.	PROPN
ejpam-5737	340	14	m.	m.	PROPN
ejpam-5737	340	15	ismail	ismail	PROPN
ejpam-5737	340	16	/	/	SYM
ejpam-5737	340	17	eur	eur	PROPN
ejpam-5737	340	18	.	.	PUNCT
ejpam-5737	341	1	j.	j.	PROPN
ejpam-5737	341	2	pure	pure	PROPN
ejpam-5737	341	3	appl	appl	PROPN
ejpam-5737	341	4	.	.	PROPN
ejpam-5737	341	5	math	math	PROPN
ejpam-5737	341	6	,	,	PUNCT
ejpam-5737	341	7	18	18	NUM
ejpam-5737	341	8	(	(	PUNCT
ejpam-5737	341	9	1	1	NUM
ejpam-5737	341	10	)	)	PUNCT
ejpam-5737	341	11	(	(	PUNCT
ejpam-5737	341	12	2025	2025	NUM
ejpam-5737	341	13	)	)	PUNCT
ejpam-5737	341	14	,	,	PUNCT
ejpam-5737	341	15	5737	5737	NUM
ejpam-5737	341	16	13	13	NUM
ejpam-5737	341	17	of	of	ADP
ejpam-5737	341	18	22	22	NUM
ejpam-5737	341	19	function	function	NOUN
ejpam-5737	341	20	exhibits	exhibit	NOUN
ejpam-5737	341	21	symmetry	symmetry	NOUN
ejpam-5737	341	22	and	and	CCONJ
ejpam-5737	341	23	approximates	approximate	VERB
ejpam-5737	341	24	the	the	DET
ejpam-5737	341	25	se	se	PROPN
ejpam-5737	341	26	loss	loss	PROPN
ejpam-5737	341	27	.	.	PUNCT
ejpam-5737	342	1	we	we	PRON
ejpam-5737	342	2	applied	apply	VERB
ejpam-5737	342	3	the	the	DET
ejpam-5737	342	4	linex	linex	ADJ
ejpam-5737	342	5	loss	loss	NOUN
ejpam-5737	342	6	function	function	NOUN
ejpam-5737	342	7	with	with	ADP
ejpam-5737	342	8	c=±0.05to	c=±0.05to	NOUN
ejpam-5737	342	9	obtain	obtain	VERB
ejpam-5737	342	10	bayesian	bayesian	NOUN
ejpam-5737	342	11	estimates	estimate	NOUN
ejpam-5737	342	12	.	.	PUNCT
ejpam-5737	343	1	as	as	SCONJ
ejpam-5737	343	2	outlined	outline	VERB
ejpam-5737	343	3	in	in	ADP
ejpam-5737	343	4	section	section	NOUN
ejpam-5737	343	5	2	2	NUM
ejpam-5737	343	6	,	,	PUNCT
ejpam-5737	343	7	posterior	posterior	ADJ
ejpam-5737	343	8	analysis	analysis	NOUN
ejpam-5737	343	9	was	be	AUX
ejpam-5737	343	10	performed	perform	VERB
ejpam-5737	343	11	using	use	VERB
ejpam-5737	343	12	a	a	DET
ejpam-5737	343	13	hybrid	hybrid	ADJ
ejpam-5737	343	14	mcmc	mcmc	PROPN
ejpam-5737	343	15	algorithm	algorithm	NOUN
ejpam-5737	343	16	employing	employ	VERB
ejpam-5737	343	17	gibbs	gibbs	PROPN
ejpam-5737	343	18	sampling	sampling	NOUN
ejpam-5737	343	19	and	and	CCONJ
ejpam-5737	343	20	m	m	PROPN
ejpam-5737	343	21	-	-	PROPN
ejpam-5737	343	22	h.	h.	PROPN
ejpam-5737	343	23	the	the	DET
ejpam-5737	343	24	mcmc	mcmc	PROPN
ejpam-5737	343	25	algorithm	algorithm	PROPN
ejpam-5737	343	26	was	be	AUX
ejpam-5737	343	27	initialized	initialize	VERB
ejpam-5737	343	28	using	use	VERB
ejpam-5737	343	29	the	the	DET
ejpam-5737	343	30	mles	mle	NOUN
ejpam-5737	343	31	of	of	ADP
ejpam-5737	343	32	the	the	DET
ejpam-5737	343	33	parameters	parameter	NOUN
ejpam-5737	343	34	β	β	X
ejpam-5737	343	35	and	and	CCONJ
ejpam-5737	343	36	ξ	ξ	X
ejpam-5737	343	37	.	.	PUNCT
ejpam-5737	344	1	we	we	PRON
ejpam-5737	344	2	provide	provide	VERB
ejpam-5737	344	3	the	the	DET
ejpam-5737	344	4	average	average	ADJ
ejpam-5737	344	5	mean	mean	NOUN
ejpam-5737	344	6	,	,	PUNCT
ejpam-5737	344	7	the	the	DET
ejpam-5737	344	8	mse	mse	NOUN
ejpam-5737	344	9	of	of	ADP
ejpam-5737	344	10	the	the	DET
ejpam-5737	344	11	mle	mle	NOUN
ejpam-5737	344	12	,	,	PUNCT
ejpam-5737	344	13	and	and	CCONJ
ejpam-5737	344	14	bayes	bayes	PROPN
ejpam-5737	344	15	estimates	estimate	NOUN
ejpam-5737	344	16	of	of	ADP
ejpam-5737	344	17	entropy	entropy	NOUN
ejpam-5737	344	18	that	that	PRON
ejpam-5737	344	19	were	be	AUX
ejpam-5737	344	20	related	relate	VERB
ejpam-5737	344	21	to	to	ADP
ejpam-5737	344	22	,	,	PUNCT
ejpam-5737	344	23	and	and	CCONJ
ejpam-5737	344	24	τ	τ	PROPN
ejpam-5737	344	25	=	=	SYM
ejpam-5737	344	26	0.3	0.3	NUM
ejpam-5737	344	27	and	and	CCONJ
ejpam-5737	344	28	τ	τ	PROPN
ejpam-5737	344	29	=	=	SYM
ejpam-5737	344	30	1	1	NUM
ejpam-5737	344	31	and	and	CCONJ
ejpam-5737	344	32	different	different	ADJ
ejpam-5737	344	33	cs	cs	ADJ
ejpam-5737	344	34	r	r	NOUN
ejpam-5737	344	35	were	be	AUX
ejpam-5737	344	36	taken	take	VERB
ejpam-5737	344	37	into	into	ADP
ejpam-5737	344	38	consideration	consideration	NOUN
ejpam-5737	344	39	,	,	PUNCT
ejpam-5737	344	40	three	three	NUM
ejpam-5737	344	41	different	different	ADJ
ejpam-5737	344	42	cs	c	NOUN
ejpam-5737	344	43	were	be	AUX
ejpam-5737	344	44	utilized	utilize	VERB
ejpam-5737	344	45	in	in	ADP
ejpam-5737	344	46	this	this	DET
ejpam-5737	344	47	study	study	NOUN
ejpam-5737	344	48	,	,	PUNCT
ejpam-5737	344	49	namely	namely	ADV
ejpam-5737	344	50	:	:	PUNCT
ejpam-5737	344	51	scheme	scheme	NOUN
ejpam-5737	344	52	i	i	PRON
ejpam-5737	344	53	:	:	PUNCT
ejpam-5737	344	54	r1	r1	PROPN
ejpam-5737	344	55	=	=	PUNCT
ejpam-5737	344	56	n−	n−	NOUN
ejpam-5737	344	57	r	r	NOUN
ejpam-5737	344	58	,	,	PUNCT
ejpam-5737	344	59	ri	ri	NOUN
ejpam-5737	344	60	=	=	SYM
ejpam-5737	344	61	0	0	NUM
ejpam-5737	344	62	%	%	NOUN
ejpam-5737	344	63	for	for	ADP
ejpam-5737	344	64	i	i	PRON
ejpam-5737	344	65	̸=	̸=	PROPN
ejpam-5737	344	66	1	1	NUM
ejpam-5737	344	67	.	.	PUNCT
ejpam-5737	344	68	scheme	scheme	PROPN
ejpam-5737	344	69	ii	ii	PROPN
ejpam-5737	344	70	:	:	PUNCT
ejpam-5737	344	71	r	r	NOUN
ejpam-5737	344	72	r+1	r+1	PROPN
ejpam-5737	344	73	2	2	NUM
ejpam-5737	344	74	=	=	SYM
ejpam-5737	344	75	n−	n−	NOUN
ejpam-5737	344	76	r	r	NOUN
ejpam-5737	344	77	,	,	PUNCT
ejpam-5737	344	78	ri	ri	NOUN
ejpam-5737	345	1	=	=	NOUN
ejpam-5737	345	2	0	0	PROPN
ejpam-5737	346	1	for	for	ADP
ejpam-5737	346	2	i	i	PRON
ejpam-5737	346	3	̸=	̸=	PROPN
ejpam-5737	346	4	r+1	r+1	PROPN
ejpam-5737	346	5	2	2	NUM
ejpam-5737	346	6	;	;	PUNCT
ejpam-5737	346	7	if	if	SCONJ
ejpam-5737	346	8	r	r	NOUN
ejpam-5737	346	9	odd	odd	ADJ
ejpam-5737	346	10	,	,	PUNCT
ejpam-5737	346	11	and	and	CCONJ
ejpam-5737	346	12	r	r	NOUN
ejpam-5737	346	13	r	r	NOUN
ejpam-5737	346	14	2	2	NUM
ejpam-5737	346	15	=	=	SYM
ejpam-5737	346	16	n−	n−	NOUN
ejpam-5737	346	17	r	r	NOUN
ejpam-5737	346	18	,	,	PUNCT
ejpam-5737	346	19	ri	ri	NOUN
ejpam-5737	347	1	=	=	NOUN
ejpam-5737	347	2	0	0	PROPN
ejpam-5737	348	1	for	for	ADP
ejpam-5737	348	2	i	i	PRON
ejpam-5737	348	3	̸=	̸=	PROPN
ejpam-5737	348	4	r	r	NOUN
ejpam-5737	348	5	2	2	NUM
ejpam-5737	348	6	;	;	PUNCT
ejpam-5737	348	7	if	if	SCONJ
ejpam-5737	348	8	r	r	NOUN
ejpam-5737	348	9	even	even	ADV
ejpam-5737	348	10	.	.	PUNCT
ejpam-5737	349	1	scheme	scheme	NOUN
ejpam-5737	349	2	iii	iii	PROPN
ejpam-5737	349	3	:	:	PUNCT
ejpam-5737	349	4	rr	rr	NOUN
ejpam-5737	349	5	=	=	PUNCT
ejpam-5737	349	6	n−	n−	NOUN
ejpam-5737	349	7	r	r	NOUN
ejpam-5737	349	8	,	,	PUNCT
ejpam-5737	349	9	ri	ri	NOUN
ejpam-5737	349	10	=	=	NOUN
ejpam-5737	349	11	0	0	NUM
ejpam-5737	349	12	for	for	ADP
ejpam-5737	349	13	i̸=	i̸=	PROPN
ejpam-5737	349	14	r.	r.	PROPN
ejpam-5737	349	15	mathematica	mathematica	PROPN
ejpam-5737	349	16	10	10	NUM
ejpam-5737	349	17	is	be	AUX
ejpam-5737	349	18	used	use	VERB
ejpam-5737	349	19	for	for	ADP
ejpam-5737	349	20	all	all	DET
ejpam-5737	349	21	computations	computation	NOUN
ejpam-5737	349	22	.	.	PUNCT
ejpam-5737	350	1	tables	table	NOUN
ejpam-5737	350	2	3	3	NUM
ejpam-5737	350	3	and	and	CCONJ
ejpam-5737	350	4	4	4	NUM
ejpam-5737	350	5	(	(	PUNCT
ejpam-5737	350	6	which	which	PRON
ejpam-5737	350	7	provide	provide	VERB
ejpam-5737	350	8	the	the	DET
ejpam-5737	350	9	cp	cp	NOUN
ejpam-5737	350	10	and	and	CCONJ
ejpam-5737	350	11	average	average	ADJ
ejpam-5737	350	12	length	length	NOUN
ejpam-5737	350	13	of	of	ADP
ejpam-5737	350	14	the	the	DET
ejpam-5737	350	15	95	95	NUM
ejpam-5737	350	16	%	%	NOUN
ejpam-5737	350	17	asymptotic	asymptotic	ADJ
ejpam-5737	350	18	,	,	PUNCT
ejpam-5737	350	19	bootstrap	bootstrap	NOUN
ejpam-5737	350	20	,	,	PUNCT
ejpam-5737	350	21	and	and	CCONJ
ejpam-5737	350	22	hpd	hpd	PROPN
ejpam-5737	350	23	credible	credible	ADJ
ejpam-5737	350	24	intervals	interval	NOUN
ejpam-5737	350	25	of	of	ADP
ejpam-5737	350	26	entropy	entropy	PROPN
ejpam-5737	350	27	)	)	PUNCT
ejpam-5737	350	28	are	be	AUX
ejpam-5737	350	29	determined	determine	VERB
ejpam-5737	350	30	.	.	PUNCT
ejpam-5737	350	31	,	,	PUNCT
ejpam-5737	350	32	whereas	whereas	SCONJ
ejpam-5737	350	33	tables	table	NOUN
ejpam-5737	350	34	1and	1and	NUM
ejpam-5737	350	35	2	2	NUM
ejpam-5737	350	36	display	display	NOUN
ejpam-5737	350	37	the	the	DET
ejpam-5737	350	38	averaged	average	VERB
ejpam-5737	350	39	mean	mean	NOUN
ejpam-5737	350	40	and	and	CCONJ
ejpam-5737	350	41	mses	ms	NOUN
ejpam-5737	350	42	of	of	ADP
ejpam-5737	350	43	the	the	DET
ejpam-5737	350	44	estimates	estimate	NOUN
ejpam-5737	350	45	in	in	ADP
ejpam-5737	350	46	parenthesis	parenthesis	NOUN
ejpam-5737	350	47	.	.	PUNCT
ejpam-5737	351	1	for	for	ADP
ejpam-5737	351	2	the	the	DET
ejpam-5737	351	3	mcmc	mcmc	PROPN
ejpam-5737	351	4	approach	approach	NOUN
ejpam-5737	351	5	,	,	PUNCT
ejpam-5737	351	6	we	we	PRON
ejpam-5737	351	7	choose	choose	VERB
ejpam-5737	351	8	n	n	NOUN
ejpam-5737	351	9	=	=	SYM
ejpam-5737	351	10	11000	11000	NUM
ejpam-5737	351	11	with	with	ADP
ejpam-5737	351	12	m	m	PROPN
ejpam-5737	351	13	=	=	SYM
ejpam-5737	351	14	1000	1000	NUM
ejpam-5737	351	15	as	as	ADP
ejpam-5737	351	16	the	the	DET
ejpam-5737	351	17	burn	burn	NOUN
ejpam-5737	351	18	-	-	PUNCT
ejpam-5737	351	19	in	in	ADP
ejpam-5737	351	20	time	time	NOUN
ejpam-5737	351	21	period	period	NOUN
ejpam-5737	351	22	.	.	PUNCT
ejpam-5737	352	1	the	the	DET
ejpam-5737	352	2	results	result	NOUN
ejpam-5737	352	3	of	of	ADP
ejpam-5737	352	4	the	the	DET
ejpam-5737	352	5	simulation	simulation	NOUN
ejpam-5737	352	6	investigation	investigation	NOUN
ejpam-5737	352	7	are	be	AUX
ejpam-5737	352	8	shown	show	VERB
ejpam-5737	352	9	in	in	ADP
ejpam-5737	352	10	tables	table	NOUN
ejpam-5737	352	11	1	1	NUM
ejpam-5737	352	12	4	4	NUM
ejpam-5737	352	13	.	.	PUNCT
ejpam-5737	353	1	as	as	SCONJ
ejpam-5737	353	2	effect	effect	NOUN
ejpam-5737	353	3	sample	sample	NOUN
ejpam-5737	353	4	size	size	NOUN
ejpam-5737	353	5	grows	grow	VERB
ejpam-5737	353	6	,	,	PUNCT
ejpam-5737	353	7	mses	ms	NOUN
ejpam-5737	353	8	fall	fall	VERB
ejpam-5737	353	9	and	and	CCONJ
ejpam-5737	353	10	cp	cp	PROPN
ejpam-5737	353	11	approaches	approach	VERB
ejpam-5737	353	12	the	the	DET
ejpam-5737	353	13	suggested	suggest	VERB
ejpam-5737	353	14	value	value	NOUN
ejpam-5737	353	15	.	.	PUNCT
ejpam-5737	354	1	the	the	DET
ejpam-5737	354	2	bayes	bayes	PROPN
ejpam-5737	354	3	estimation	estimation	NOUN
ejpam-5737	354	4	shows	show	VERB
ejpam-5737	354	5	lower	low	ADJ
ejpam-5737	354	6	mses	ms	NOUN
ejpam-5737	354	7	with	with	ADP
ejpam-5737	354	8	respect	respect	NOUN
ejpam-5737	354	9	to	to	ADP
ejpam-5737	354	10	the	the	DET
ejpam-5737	354	11	linex	linex	ADJ
ejpam-5737	354	12	loss	loss	NOUN
ejpam-5737	354	13	function	function	NOUN
ejpam-5737	354	14	than	than	ADP
ejpam-5737	354	15	with	with	ADP
ejpam-5737	354	16	respect	respect	NOUN
ejpam-5737	354	17	to	to	ADP
ejpam-5737	354	18	the	the	DET
ejpam-5737	354	19	se	se	PROPN
ejpam-5737	354	20	loss	loss	NOUN
ejpam-5737	354	21	function	function	NOUN
ejpam-5737	354	22	.	.	PUNCT
ejpam-5737	355	1	the	the	DET
ejpam-5737	355	2	mean	mean	ADJ
ejpam-5737	355	3	length	length	NOUN
ejpam-5737	355	4	and	and	CCONJ
ejpam-5737	355	5	mses	ms	NOUN
ejpam-5737	355	6	of	of	ADP
ejpam-5737	355	7	the	the	DET
ejpam-5737	355	8	linex	linex	ADJ
ejpam-5737	355	9	loss	loss	NOUN
ejpam-5737	355	10	function	function	NOUN
ejpam-5737	355	11	drop	drop	NOUN
ejpam-5737	355	12	as	as	ADP
ejpam-5737	355	13	c	c	NOUN
ejpam-5737	355	14	increases	increase	NOUN
ejpam-5737	355	15	.	.	PUNCT
ejpam-5737	356	1	based	base	VERB
ejpam-5737	356	2	on	on	ADP
ejpam-5737	356	3	the	the	DET
ejpam-5737	356	4	results	result	NOUN
ejpam-5737	356	5	presented	present	VERB
ejpam-5737	356	6	in	in	ADP
ejpam-5737	356	7	tables	table	NOUN
ejpam-5737	356	8	1−	1−	NUM
ejpam-5737	356	9	4	4	NUM
ejpam-5737	356	10	,	,	PUNCT
ejpam-5737	356	11	we	we	PRON
ejpam-5737	356	12	draw	draw	VERB
ejpam-5737	356	13	the	the	DET
ejpam-5737	356	14	following	following	ADJ
ejpam-5737	356	15	conclusions	conclusion	NOUN
ejpam-5737	356	16	:	:	PUNCT
ejpam-5737	356	17	•	•	NOUN
ejpam-5737	356	18	superiority	superiority	NOUN
ejpam-5737	356	19	of	of	ADP
ejpam-5737	356	20	bayesian	bayesian	NOUN
ejpam-5737	356	21	estimation	estimation	NOUN
ejpam-5737	356	22	:	:	PUNCT
ejpam-5737	356	23	bayesian	bayesian	NOUN
ejpam-5737	356	24	estimation	estimation	NOUN
ejpam-5737	356	25	,	,	PUNCT
ejpam-5737	356	26	implemented	implement	VERB
ejpam-5737	356	27	through	through	ADP
ejpam-5737	356	28	the	the	DET
ejpam-5737	356	29	mcmc	mcmc	PROPN
ejpam-5737	356	30	technique	technique	NOUN
ejpam-5737	356	31	,	,	PUNCT
ejpam-5737	356	32	consistently	consistently	ADV
ejpam-5737	356	33	outperforms	outperform	VERB
ejpam-5737	356	34	mles	mle	NOUN
ejpam-5737	356	35	and	and	CCONJ
ejpam-5737	356	36	bootstrap	bootstrap	NOUN
ejpam-5737	356	37	estimates	estimate	NOUN
ejpam-5737	356	38	in	in	ADP
ejpam-5737	356	39	terms	term	NOUN
ejpam-5737	356	40	of	of	ADP
ejpam-5737	356	41	mse	mse	NOUN
ejpam-5737	356	42	for	for	ADP
ejpam-5737	356	43	the	the	DET
ejpam-5737	356	44	parameter	parameter	NOUN
ejpam-5737	356	45	h(f	h(f	PROPN
ejpam-5737	356	46	)	)	PUNCT
ejpam-5737	356	47	.	.	PUNCT
ejpam-5737	357	1	•	•	ADJ
ejpam-5737	357	2	effect	effect	NOUN
ejpam-5737	357	3	of	of	ADP
ejpam-5737	357	4	sample	sample	NOUN
ejpam-5737	357	5	size	size	NOUN
ejpam-5737	357	6	:	:	PUNCT
ejpam-5737	357	7	with	with	ADP
ejpam-5737	357	8	fixed	fix	VERB
ejpam-5737	357	9	values	value	NOUN
ejpam-5737	357	10	of	of	ADP
ejpam-5737	357	11	τ	τ	PROPN
ejpam-5737	357	12	and	and	CCONJ
ejpam-5737	357	13	n	n	CCONJ
ejpam-5737	357	14	,	,	PUNCT
ejpam-5737	357	15	increased	increase	VERB
ejpam-5737	357	16	effective	effective	ADJ
ejpam-5737	357	17	sample	sample	NOUN
ejpam-5737	357	18	size	size	NOUN
ejpam-5737	357	19	leads	lead	VERB
ejpam-5737	357	20	to	to	ADP
ejpam-5737	357	21	a	a	DET
ejpam-5737	357	22	reduction	reduction	NOUN
ejpam-5737	357	23	in	in	ADP
ejpam-5737	357	24	mses	ms	NOUN
ejpam-5737	357	25	and	and	CCONJ
ejpam-5737	357	26	convergence	convergence	NOUN
ejpam-5737	357	27	of	of	ADP
ejpam-5737	357	28	cp	cp	NUM
ejpam-5737	357	29	towards	towards	ADP
ejpam-5737	357	30	the	the	DET
ejpam-5737	357	31	nominal	nominal	ADJ
ejpam-5737	357	32	value	value	NOUN
ejpam-5737	357	33	.	.	PUNCT
ejpam-5737	358	1	•	•	NUM
ejpam-5737	358	2	impact	impact	NOUN
ejpam-5737	358	3	of	of	ADP
ejpam-5737	358	4	censoring	censor	VERB
ejpam-5737	358	5	parameters	parameter	NOUN
ejpam-5737	358	6	:	:	PUNCT
ejpam-5737	358	7	when	when	SCONJ
ejpam-5737	358	8	τ	τ	PROPN
ejpam-5737	358	9	is	be	AUX
ejpam-5737	358	10	fixed	fix	VERB
ejpam-5737	358	11	,	,	PUNCT
ejpam-5737	358	12	increasing	increase	VERB
ejpam-5737	358	13	the	the	DET
ejpam-5737	358	14	values	value	NOUN
ejpam-5737	358	15	of	of	ADP
ejpam-5737	358	16	n	n	PRON
ejpam-5737	358	17	and	and	CCONJ
ejpam-5737	358	18	r	r	NOUN
ejpam-5737	358	19	generally	generally	ADV
ejpam-5737	358	20	results	result	VERB
ejpam-5737	358	21	in	in	ADP
ejpam-5737	358	22	a	a	DET
ejpam-5737	358	23	decrease	decrease	NOUN
ejpam-5737	358	24	in	in	ADP
ejpam-5737	358	25	the	the	DET
ejpam-5737	358	26	mses	ms	NOUN
ejpam-5737	358	27	of	of	ADP
ejpam-5737	358	28	all	all	DET
ejpam-5737	358	29	estimators	estimator	NOUN
ejpam-5737	358	30	.	.	PUNCT
ejpam-5737	359	1	conversely	conversely	ADV
ejpam-5737	359	2	,	,	PUNCT
ejpam-5737	359	3	increasing	increase	VERB
ejpam-5737	359	4	τ	τ	PROPN
ejpam-5737	359	5	while	while	SCONJ
ejpam-5737	359	6	keeping	keep	VERB
ejpam-5737	359	7	n	n	PROPN
ejpam-5737	359	8	and	and	CCONJ
ejpam-5737	359	9	r	r	NOUN
ejpam-5737	359	10	fixed	fix	VERB
ejpam-5737	359	11	tends	tend	VERB
ejpam-5737	359	12	to	to	PART
ejpam-5737	359	13	increase	increase	VERB
ejpam-5737	359	14	the	the	DET
ejpam-5737	359	15	mses	ms	NOUN
ejpam-5737	359	16	in	in	ADP
ejpam-5737	359	17	most	most	ADJ
ejpam-5737	359	18	cases	case	NOUN
ejpam-5737	359	19	.	.	PUNCT
ejpam-5737	360	1	•	•	NUM
ejpam-5737	360	2	linex	linex	ADV
ejpam-5737	360	3	vs.	vs.	X
ejpam-5737	360	4	se	se	X
ejpam-5737	360	5	loss	loss	NOUN
ejpam-5737	360	6	:	:	PUNCT
ejpam-5737	360	7	bayesian	bayesian	NOUN
ejpam-5737	360	8	estimation	estimation	NOUN
ejpam-5737	360	9	exhibits	exhibit	VERB
ejpam-5737	360	10	lower	low	ADJ
ejpam-5737	360	11	mses	ms	NOUN
ejpam-5737	360	12	when	when	SCONJ
ejpam-5737	360	13	using	use	VERB
ejpam-5737	360	14	the	the	DET
ejpam-5737	360	15	linex	linex	ADJ
ejpam-5737	360	16	loss	loss	NOUN
ejpam-5737	360	17	function	function	NOUN
ejpam-5737	360	18	compared	compare	VERB
ejpam-5737	360	19	to	to	ADP
ejpam-5737	360	20	the	the	DET
ejpam-5737	360	21	se	se	PROPN
ejpam-5737	360	22	loss	loss	NOUN
ejpam-5737	360	23	function	function	NOUN
ejpam-5737	360	24	.	.	PUNCT
ejpam-5737	361	1	•	•	NUM
ejpam-5737	361	2	efficiency	efficiency	NOUN
ejpam-5737	361	3	of	of	ADP
ejpam-5737	361	4	estimators	estimator	NOUN
ejpam-5737	361	5	:	:	PUNCT
ejpam-5737	361	6	all	all	DET
ejpam-5737	361	7	point	point	NOUN
ejpam-5737	361	8	estimators	estimator	NOUN
ejpam-5737	361	9	are	be	AUX
ejpam-5737	361	10	highly	highly	ADV
ejpam-5737	361	11	efficient	efficient	ADJ
ejpam-5737	361	12	,	,	PUNCT
ejpam-5737	361	13	as	as	SCONJ
ejpam-5737	361	14	indicated	indicate	VERB
ejpam-5737	361	15	by	by	ADP
ejpam-5737	361	16	their	their	PRON
ejpam-5737	361	17	very	very	ADV
ejpam-5737	361	18	small	small	ADJ
ejpam-5737	361	19	average	average	ADJ
ejpam-5737	361	20	mses	ms	NOUN
ejpam-5737	361	21	,	,	PUNCT
ejpam-5737	361	22	which	which	PRON
ejpam-5737	361	23	approach	approach	VERB
ejpam-5737	361	24	zero	zero	NUM
ejpam-5737	361	25	as	as	ADP
ejpam-5737	361	26	n	n	NUM
ejpam-5737	361	27	and	and	CCONJ
ejpam-5737	361	28	r	r	NOUN
ejpam-5737	361	29	increase	increase	NOUN
ejpam-5737	361	30	.	.	PUNCT
ejpam-5737	362	1	•	•	NUM
ejpam-5737	362	2	linex	linex	ADV
ejpam-5737	362	3	loss	loss	NOUN
ejpam-5737	362	4	parameter	parameter	NOUN
ejpam-5737	362	5	and	and	CCONJ
ejpam-5737	362	6	mse	mse	PROPN
ejpam-5737	362	7	:	:	PUNCT
ejpam-5737	362	8	the	the	DET
ejpam-5737	362	9	mean	mean	ADJ
ejpam-5737	362	10	length	length	NOUN
ejpam-5737	362	11	and	and	CCONJ
ejpam-5737	362	12	mses	ms	NOUN
ejpam-5737	362	13	of	of	ADP
ejpam-5737	362	14	the	the	DET
ejpam-5737	362	15	linex	linex	ADJ
ejpam-5737	362	16	loss	loss	NOUN
ejpam-5737	362	17	function	function	NOUN
ejpam-5737	362	18	decrease	decrease	NOUN
ejpam-5737	362	19	with	with	ADP
ejpam-5737	362	20	increasing	increase	VERB
ejpam-5737	362	21	values	value	NOUN
ejpam-5737	362	22	of	of	ADP
ejpam-5737	362	23	c.	c.	NOUN
ejpam-5737	362	24	•	•	ADP
ejpam-5737	362	25	overall	overall	ADJ
ejpam-5737	362	26	performance	performance	NOUN
ejpam-5737	362	27	:	:	PUNCT
ejpam-5737	362	28	the	the	DET
ejpam-5737	362	29	simulation	simulation	NOUN
ejpam-5737	362	30	results	result	NOUN
ejpam-5737	362	31	demonstrate	demonstrate	VERB
ejpam-5737	362	32	that	that	SCONJ
ejpam-5737	362	33	bayesian	bayesian	NOUN
ejpam-5737	362	34	estimations	estimation	NOUN
ejpam-5737	362	35	,	,	PUNCT
ejpam-5737	362	36	particularly	particularly	ADV
ejpam-5737	362	37	those	those	PRON
ejpam-5737	362	38	under	under	ADP
ejpam-5737	362	39	the	the	DET
ejpam-5737	362	40	linex	linex	ADJ
ejpam-5737	362	41	loss	loss	NOUN
ejpam-5737	362	42	function	function	NOUN
ejpam-5737	362	43	with	with	ADP
ejpam-5737	362	44	c	c	NOUN
ejpam-5737	362	45	=	=	NOUN
ejpam-5737	362	46	0.05	0.05	NUM
ejpam-5737	362	47	,	,	PUNCT
ejpam-5737	362	48	achieve	achieve	VERB
ejpam-5737	362	49	the	the	DET
ejpam-5737	362	50	best	good	ADJ
ejpam-5737	362	51	s.	s.	PROPN
ejpam-5737	362	52	m.	m.	PROPN
ejpam-5737	362	53	ahmed	ahmed	PROPN
ejpam-5737	362	54	,	,	PUNCT
ejpam-5737	362	55	g.	g.	PROPN
ejpam-5737	362	56	m.	m.	PROPN
ejpam-5737	362	57	ismail	ismail	PROPN
ejpam-5737	362	58	/	/	SYM
ejpam-5737	362	59	eur	eur	PROPN
ejpam-5737	362	60	.	.	PUNCT
ejpam-5737	363	1	j.	j.	PROPN
ejpam-5737	363	2	pure	pure	PROPN
ejpam-5737	363	3	appl	appl	PROPN
ejpam-5737	363	4	.	.	PROPN
ejpam-5737	363	5	math	math	PROPN
ejpam-5737	363	6	,	,	PUNCT
ejpam-5737	363	7	18	18	NUM
ejpam-5737	363	8	(	(	PUNCT
ejpam-5737	363	9	1	1	NUM
ejpam-5737	363	10	)	)	PUNCT
ejpam-5737	363	11	(	(	PUNCT
ejpam-5737	363	12	2025	2025	NUM
ejpam-5737	363	13	)	)	PUNCT
ejpam-5737	363	14	,	,	PUNCT
ejpam-5737	363	15	5737	5737	NUM
ejpam-5737	363	16	14	14	NUM
ejpam-5737	363	17	of	of	ADP
ejpam-5737	363	18	22	22	NUM
ejpam-5737	363	19	mses	ms	NOUN
ejpam-5737	363	20	for	for	ADP
ejpam-5737	363	21	estimating	estimate	VERB
ejpam-5737	363	22	h(f	h(f	PROPN
ejpam-5737	363	23	)	)	PUNCT
ejpam-5737	363	24	,	,	PUNCT
ejpam-5737	363	25	surpassing	surpass	VERB
ejpam-5737	363	26	other	other	ADJ
ejpam-5737	363	27	methods	method	NOUN
ejpam-5737	363	28	.	.	PUNCT
ejpam-5737	364	1	furthermore	furthermore	ADV
ejpam-5737	364	2	,	,	PUNCT
ejpam-5737	364	3	the	the	DET
ejpam-5737	364	4	bayes	bayes	NOUN
ejpam-5737	364	5	credible	credible	ADJ
ejpam-5737	364	6	intervals	interval	NOUN
ejpam-5737	364	7	exhibit	exhibit	VERB
ejpam-5737	364	8	lower	low	ADJ
ejpam-5737	364	9	widths	width	NOUN
ejpam-5737	364	10	and	and	CCONJ
ejpam-5737	364	11	higher	high	ADJ
ejpam-5737	364	12	cp	cp	NOUN
ejpam-5737	364	13	compared	compare	VERB
ejpam-5737	364	14	to	to	ADP
ejpam-5737	364	15	other	other	ADJ
ejpam-5737	364	16	methods	method	NOUN
ejpam-5737	364	17	,	,	PUNCT
ejpam-5737	364	18	as	as	SCONJ
ejpam-5737	364	19	reflected	reflect	VERB
ejpam-5737	364	20	in	in	ADP
ejpam-5737	364	21	the	the	DET
ejpam-5737	364	22	mean	mean	ADJ
ejpam-5737	364	23	lengths	length	NOUN
ejpam-5737	364	24	and	and	CCONJ
ejpam-5737	364	25	cps	cps	PROPN
ejpam-5737	364	26	presented	present	VERB
ejpam-5737	364	27	in	in	ADP
ejpam-5737	364	28	tables	table	NOUN
ejpam-5737	364	29	1−	1−	NUM
ejpam-5737	364	30	4	4	NUM
ejpam-5737	364	31	.	.	PUNCT
ejpam-5737	365	1	while	while	SCONJ
ejpam-5737	365	2	the	the	DET
ejpam-5737	365	3	bayesian	bayesian	NOUN
ejpam-5737	365	4	estimators	estimator	NOUN
ejpam-5737	365	5	demonstrate	demonstrate	VERB
ejpam-5737	365	6	superior	superior	ADJ
ejpam-5737	365	7	performance	performance	NOUN
ejpam-5737	365	8	,	,	PUNCT
ejpam-5737	365	9	the	the	DET
ejpam-5737	365	10	simulations	simulation	NOUN
ejpam-5737	365	11	indicate	indicate	VERB
ejpam-5737	365	12	that	that	SCONJ
ejpam-5737	365	13	all	all	DET
ejpam-5737	365	14	point	point	NOUN
ejpam-5737	365	15	and	and	CCONJ
ejpam-5737	365	16	interval	interval	NOUN
ejpam-5737	365	17	estimation	estimation	NOUN
ejpam-5737	365	18	methods	method	NOUN
ejpam-5737	365	19	considered	consider	VERB
ejpam-5737	365	20	are	be	AUX
ejpam-5737	365	21	efficient	efficient	ADJ
ejpam-5737	365	22	.	.	PUNCT
ejpam-5737	366	1	the	the	DET
ejpam-5737	366	2	bayesian	bayesian	NOUN
ejpam-5737	366	3	technique	technique	NOUN
ejpam-5737	366	4	is	be	AUX
ejpam-5737	366	5	a	a	DET
ejpam-5737	366	6	particularly	particularly	ADV
ejpam-5737	366	7	advantageous	advantageous	ADJ
ejpam-5737	366	8	choice	choice	NOUN
ejpam-5737	366	9	when	when	SCONJ
ejpam-5737	366	10	prior	prior	ADJ
ejpam-5737	366	11	knowledge	knowledge	NOUN
ejpam-5737	366	12	is	be	AUX
ejpam-5737	366	13	available	available	ADJ
ejpam-5737	366	14	.	.	PUNCT
ejpam-5737	367	1	table	table	NOUN
ejpam-5737	367	2	1	1	NUM
ejpam-5737	367	3	:	:	PUNCT
ejpam-5737	367	4	mean	mean	VERB
ejpam-5737	367	5	and	and	CCONJ
ejpam-5737	367	6	mse	mse	NOUN
ejpam-5737	367	7	of	of	ADP
ejpam-5737	367	8	the	the	DET
ejpam-5737	367	9	ml	ml	NOUN
ejpam-5737	367	10	,	,	PUNCT
ejpam-5737	367	11	bootstrap	bootstrap	NOUN
ejpam-5737	367	12	and	and	CCONJ
ejpam-5737	367	13	bayes	baye	NOUN
ejpam-5737	367	14	of	of	ADP
ejpam-5737	367	15	the	the	DET
ejpam-5737	367	16	entropy	entropy	PROPN
ejpam-5737	367	17	h(f	h(f	PROPN
ejpam-5737	367	18	)	)	PUNCT
ejpam-5737	367	19	at	at	ADP
ejpam-5737	367	20	τ	τ	X
ejpam-5737	367	21	=	=	PUNCT
ejpam-5737	367	22	0.3	0.3	NUM
ejpam-5737	367	23	.	.	PUNCT
ejpam-5737	368	1	β	β	X
ejpam-5737	368	2	=	=	NUM
ejpam-5737	368	3	0.8	0.8	NUM
ejpam-5737	368	4	,	,	PUNCT
ejpam-5737	368	5	ξ	ξ	X
ejpam-5737	368	6	=	=	SYM
ejpam-5737	368	7	0.3	0.3	NUM
ejpam-5737	368	8	ml	ml	NOUN
ejpam-5737	368	9	boot	boot	PROPN
ejpam-5737	368	10	bayes	bayes	PROPN
ejpam-5737	368	11	se	se	PROPN
ejpam-5737	369	1	linex	linex	PROPN
ejpam-5737	369	2	c	c	AUX
ejpam-5737	370	1	=	=	PUNCT
ejpam-5737	371	1	−0.05	−0.05	NOUN
ejpam-5737	371	2	c	c	NOUN
ejpam-5737	371	3	=	=	SYM
ejpam-5737	371	4	0.05	0.05	NUM
ejpam-5737	371	5	n	n	NOUN
ejpam-5737	371	6	r	r	NOUN
ejpam-5737	371	7	cs	cs	PROPN
ejpam-5737	371	8	mean	mean	PROPN
ejpam-5737	371	9	mse	mse	PROPN
ejpam-5737	371	10	mean	mean	PROPN
ejpam-5737	371	11	mse	mse	PROPN
ejpam-5737	371	12	mean	mean	PROPN
ejpam-5737	371	13	mse	mse	PROPN
ejpam-5737	371	14	mean	mean	PROPN
ejpam-5737	371	15	mse	mse	PROPN
ejpam-5737	371	16	mean	mean	PROPN
ejpam-5737	371	17	mse	mse	PROPN
ejpam-5737	371	18	i	i	PRON
ejpam-5737	372	1	1.8927	1.8927	NUM
ejpam-5737	372	2	0.3037	0.3037	NUM
ejpam-5737	372	3	1.9067	1.9067	NUM
ejpam-5737	372	4	0.2401	0.2401	NUM
ejpam-5737	372	5	1.9249	1.9249	NUM
ejpam-5737	372	6	0.2043	0.2043	NUM
ejpam-5737	372	7	1.9210	1.9210	NUM
ejpam-5737	372	8	0.2010	0.2010	NUM
ejpam-5737	372	9	1.9097	1.9097	NUM
ejpam-5737	372	10	0.1867	0.1867	NUM
ejpam-5737	372	11	80	80	NUM
ejpam-5737	372	12	50	50	NUM
ejpam-5737	372	13	ii	ii	NUM
ejpam-5737	372	14	1.7892	1.7892	NUM
ejpam-5737	372	15	0.3104	0.3104	PROPN
ejpam-5737	372	16	1.9210	1.9210	NUM
ejpam-5737	372	17	0.2548	0.2548	NUM
ejpam-5737	372	18	1.9357	1.9357	NUM
ejpam-5737	372	19	0.2107	0.2107	NUM
ejpam-5737	372	20	1.9657	1.9657	NUM
ejpam-5737	372	21	0.2149	0.2149	NUM
ejpam-5737	372	22	1.9687	1.9687	NUM
ejpam-5737	372	23	0.1987	0.1987	NUM
ejpam-5737	372	24	iii	iii	PROPN
ejpam-5737	372	25	1.9075	1.9075	NUM
ejpam-5737	372	26	0.3110	0.3110	NUM
ejpam-5737	372	27	1.8689	1.8689	NUM
ejpam-5737	372	28	0.2550	0.2550	NUM
ejpam-5737	372	29	1.8590	1.8590	NUM
ejpam-5737	372	30	0.2110	0.2110	NUM
ejpam-5737	372	31	1.9230	1.9230	NUM
ejpam-5737	372	32	0.2207	0.2207	NUM
ejpam-5737	372	33	1.8802	1.8802	NUM
ejpam-5737	372	34	0.2070	0.2070	NUM
ejpam-5737	372	35	i	i	PRON
ejpam-5737	372	36	1.9204	1.9204	NUM
ejpam-5737	372	37	0.3007	0.3007	NUM
ejpam-5737	372	38	1.8832	1.8832	NUM
ejpam-5737	372	39	0.2204	0.2204	NUM
ejpam-5737	372	40	1.9016	1.9016	NUM
ejpam-5737	372	41	0.2108	0.2108	NUM
ejpam-5737	372	42	1.9197	1.9197	NUM
ejpam-5737	372	43	0.1893	0.1893	NUM
ejpam-5737	372	44	1.8940	1.8940	NUM
ejpam-5737	372	45	0.1804	0.1804	NUM
ejpam-5737	372	46	80	80	NUM
ejpam-5737	372	47	60	60	NUM
ejpam-5737	372	48	ii	ii	NUM
ejpam-5737	372	49	1.8247	1.8247	NUM
ejpam-5737	372	50	0.2970	0.2970	NUM
ejpam-5737	372	51	1.9670	1.9670	NUM
ejpam-5737	372	52	0.2420	0.2420	NUM
ejpam-5737	372	53	1.8999	1.8999	NUM
ejpam-5737	372	54	0.2220	0.2220	NUM
ejpam-5737	372	55	1.8967	1.8967	NUM
ejpam-5737	372	56	0.1801	0.1801	NUM
ejpam-5737	372	57	1.8034	1.8034	NUM
ejpam-5737	372	58	0.1896	0.1896	NUM
ejpam-5737	372	59	iii	iii	NUM
ejpam-5737	372	60	1.9378	1.9378	NUM
ejpam-5737	372	61	0.3049	0.3049	NUM
ejpam-5737	372	62	1.8349	1.8349	NUM
ejpam-5737	372	63	0.2507	0.2507	NUM
ejpam-5737	372	64	1.9773	1.9773	NUM
ejpam-5737	372	65	0.2247	0.2247	NUM
ejpam-5737	372	66	1.9270	1.9270	NUM
ejpam-5737	372	67	0.1896	0.1896	NUM
ejpam-5737	372	68	1.8034	1.8034	NUM
ejpam-5737	372	69	0.1901	0.1901	NUM
ejpam-5737	372	70	i	i	PRON
ejpam-5737	372	71	1.9107	1.9107	NUM
ejpam-5737	372	72	0.2980	0.2980	NUM
ejpam-5737	372	73	1.9110	1.9110	NUM
ejpam-5737	372	74	0.2701	0.2701	NUM
ejpam-5737	372	75	1.9054	1.9054	NUM
ejpam-5737	372	76	0.2152	0.2152	NUM
ejpam-5737	372	77	1.9130	1.9130	NUM
ejpam-5737	372	78	0.1991	0.1991	NUM
ejpam-5737	372	79	1.9046	1.9046	NUM
ejpam-5737	372	80	0.1846	0.1846	NUM
ejpam-5737	372	81	100	100	NUM
ejpam-5737	372	82	60	60	NUM
ejpam-5737	372	83	ii	ii	NUM
ejpam-5737	372	84	1.9637	1.9637	NUM
ejpam-5737	372	85	0.2976	0.2976	NUM
ejpam-5737	372	86	1.8369	1.8369	NUM
ejpam-5737	372	87	0.2657	0.2657	NUM
ejpam-5737	372	88	1.9370	1.9370	NUM
ejpam-5737	372	89	0.2210	0.2210	NUM
ejpam-5737	372	90	1.9678	1.9678	NUM
ejpam-5737	372	91	0.1901	0.1901	NUM
ejpam-5737	372	92	1.9078	1.9078	NUM
ejpam-5737	372	93	0.1891	0.1891	NUM
ejpam-5737	372	94	iii	iii	NUM
ejpam-5737	372	95	1.8934	1.8934	NUM
ejpam-5737	372	96	0.3000	0.3000	NUM
ejpam-5737	372	97	1.9331	1.9331	NUM
ejpam-5737	372	98	0.2789	0.2789	NUM
ejpam-5737	372	99	1.9207	1.9207	NUM
ejpam-5737	372	100	0.2225	0.2225	NUM
ejpam-5737	372	101	1.9875	1.9875	NUM
ejpam-5737	372	102	0.1638	0.1638	NUM
ejpam-5737	372	103	1.9011	1.9011	NUM
ejpam-5737	372	104	0.1920	0.1920	NUM
ejpam-5737	372	105	i	i	PRON
ejpam-5737	372	106	1.9042	1.9042	NUM
ejpam-5737	372	107	0.2807	0.2807	NUM
ejpam-5737	372	108	1.9110	1.9110	NUM
ejpam-5737	372	109	0.2562	0.2562	NUM
ejpam-5737	372	110	1.9049	1.9049	NUM
ejpam-5737	372	111	0.2124	0.2124	NUM
ejpam-5737	372	112	1.8903	1.8903	NUM
ejpam-5737	372	113	0.1937	0.1937	NUM
ejpam-5737	372	114	1.8904	1.8904	NUM
ejpam-5737	372	115	0.1864	0.1864	NUM
ejpam-5737	372	116	100	100	NUM
ejpam-5737	372	117	80	80	NUM
ejpam-5737	372	118	ii	ii	NUM
ejpam-5737	372	119	1.9678	1.9678	NUM
ejpam-5737	372	120	0.2834	0.2834	NUM
ejpam-5737	372	121	1.9678	1.9678	NUM
ejpam-5737	372	122	0.2489	0.2489	NUM
ejpam-5737	372	123	1.9815	1.9815	NUM
ejpam-5737	372	124	0.2210	0.2210	NUM
ejpam-5737	372	125	1.9680	1.9680	NUM
ejpam-5737	372	126	0.1987	0.1987	NUM
ejpam-5737	372	127	1.8863	1.8863	NUM
ejpam-5737	372	128	0.1899	0.1899	NUM
ejpam-5737	372	129	iii	iii	NUM
ejpam-5737	372	130	1.8963	1.8963	NUM
ejpam-5737	372	131	0.2975	0.2975	NUM
ejpam-5737	372	132	1.8675	1.8675	NUM
ejpam-5737	372	133	0.2553	0.2553	NUM
ejpam-5737	372	134	1.9822	1.9822	NUM
ejpam-5737	372	135	0.2217	0.2217	NUM
ejpam-5737	372	136	1.8650	1.8650	NUM
ejpam-5737	372	137	0.2018	0.2018	NUM
ejpam-5737	372	138	1.8960	1.8960	NUM
ejpam-5737	372	139	0.2014	0.2014	NUM
ejpam-5737	372	140	β	β	X
ejpam-5737	372	141	=	=	SYM
ejpam-5737	372	142	1.5	1.5	NUM
ejpam-5737	372	143	,	,	PUNCT
ejpam-5737	372	144	ξ	ξ	X
ejpam-5737	372	145	=	=	SYM
ejpam-5737	372	146	0.5	0.5	NUM
ejpam-5737	372	147	i	i	PRON
ejpam-5737	372	148	1.1007	1.1007	NUM
ejpam-5737	372	149	0.2934	0.2934	NUM
ejpam-5737	372	150	1.0160	1.0160	NUM
ejpam-5737	372	151	0.2347	0.2347	NUM
ejpam-5737	372	152	1.1006	1.1006	NUM
ejpam-5737	372	153	0.2318	0.2318	NUM
ejpam-5737	372	154	0.9987	0.9987	NUM
ejpam-5737	372	155	0.2057	0.2057	NUM
ejpam-5737	372	156	0.9896	0.9896	NUM
ejpam-5737	372	157	0.2012	0.2012	NUM
ejpam-5737	372	158	80	80	NUM
ejpam-5737	372	159	50	50	NUM
ejpam-5737	372	160	ii	ii	NUM
ejpam-5737	372	161	1.0890	1.0890	NUM
ejpam-5737	372	162	0.3048	0.3048	NUM
ejpam-5737	372	163	1.0789	1.0789	NUM
ejpam-5737	372	164	0.2344	0.2344	NUM
ejpam-5737	372	165	1.0463	1.0463	NUM
ejpam-5737	372	166	0.2486	0.2486	NUM
ejpam-5737	372	167	1.0132	1.0132	NUM
ejpam-5737	372	168	0.2132	0.2132	NUM
ejpam-5737	372	169	0.9681	0.9681	NUM
ejpam-5737	372	170	0.2014	0.2014	NUM
ejpam-5737	372	171	iii	iii	NUM
ejpam-5737	372	172	0.9982	0.9982	NUM
ejpam-5737	372	173	0.3155	0.3155	NUM
ejpam-5737	372	174	1.0100	1.0100	NUM
ejpam-5737	372	175	0.2355	0.2355	NUM
ejpam-5737	372	176	1.0040	1.0040	NUM
ejpam-5737	372	177	0.24440	0.24440	NUM
ejpam-5737	372	178	0.9861	0.9861	NUM
ejpam-5737	372	179	0.2204	0.2204	NUM
ejpam-5737	372	180	0.9600	0.9600	NUM
ejpam-5737	372	181	0.2093	0.2093	NUM
ejpam-5737	372	182	i	i	PRON
ejpam-5737	372	183	0.9870	0.9870	NUM
ejpam-5737	372	184	0.2807	0.2807	NUM
ejpam-5737	373	1	0.9908	0.9908	NUM
ejpam-5737	373	2	0.2429	0.2429	NUM
ejpam-5737	373	3	1.1003	1.1003	NUM
ejpam-5737	373	4	0.2310	0.2310	NUM
ejpam-5737	373	5	1.0108	1.0108	NUM
ejpam-5737	373	6	0.2027	0.2027	NUM
ejpam-5737	373	7	1.1091	1.1091	NUM
ejpam-5737	373	8	0.2009	0.2009	NUM
ejpam-5737	373	9	80	80	NUM
ejpam-5737	373	10	60	60	NUM
ejpam-5737	373	11	ii	ii	NOUN
ejpam-5737	373	12	0.8670	0.8670	NUM
ejpam-5737	373	13	0.2991	0.2991	NUM
ejpam-5737	373	14	0.9837	0.9837	NUM
ejpam-5737	373	15	0.2341	0.2341	NUM
ejpam-5737	373	16	1.1240	1.1240	NUM
ejpam-5737	373	17	0.2341	0.2341	NUM
ejpam-5737	373	18	1.0855	1.0855	NUM
ejpam-5737	373	19	0.2045	0.2045	NUM
ejpam-5737	373	20	1.0041	1.0041	NUM
ejpam-5737	373	21	0.2014	0.2014	NUM
ejpam-5737	373	22	iii	iii	NUM
ejpam-5737	373	23	0.9970	0.9970	NUM
ejpam-5737	373	24	0.2998	0.2998	NUM
ejpam-5737	373	25	0.9981	0.9981	NUM
ejpam-5737	373	26	0.2458	0.2458	NUM
ejpam-5737	373	27	1.1104	1.1104	NUM
ejpam-5737	373	28	0.2333	0.2333	NUM
ejpam-5737	373	29	1.0052	1.0052	NUM
ejpam-5737	373	30	0.2109	0.2109	NUM
ejpam-5737	373	31	1.0348	1.0348	NUM
ejpam-5737	373	32	0.2045	0.2045	NUM
ejpam-5737	373	33	i	i	PRON
ejpam-5737	373	34	1.0107	1.0107	NUM
ejpam-5737	373	35	0.2908	0.2908	NUM
ejpam-5737	373	36	1.1084	1.1084	NUM
ejpam-5737	373	37	0.2307	0.2307	NUM
ejpam-5737	373	38	1.0091	1.0091	NUM
ejpam-5737	373	39	0.2019	0.2019	NUM
ejpam-5737	373	40	1.0940	1.0940	NUM
ejpam-5737	373	41	0.2007	0.2007	NUM
ejpam-5737	373	42	1.0207	1.0207	NUM
ejpam-5737	373	43	0.1893	0.1893	NUM
ejpam-5737	373	44	100	100	NUM
ejpam-5737	373	45	60	60	NUM
ejpam-5737	373	46	ii	ii	NUM
ejpam-5737	373	47	0.9678	0.9678	NUM
ejpam-5737	373	48	0.3045	0.3045	NUM
ejpam-5737	373	49	1.0733	1.0733	NUM
ejpam-5737	373	50	0.2540	0.2540	NUM
ejpam-5737	374	1	0.9840	0.9840	NUM
ejpam-5737	374	2	0.2000	0.2000	NUM
ejpam-5737	374	3	1.0054	1.0054	NUM
ejpam-5737	374	4	0.2041	0.2041	NUM
ejpam-5737	374	5	1.0547	1.0547	NUM
ejpam-5737	374	6	0.1937	0.1937	NUM
ejpam-5737	374	7	iii	iii	NUM
ejpam-5737	374	8	0.9705	0.9705	NUM
ejpam-5737	374	9	0.3004	0.3004	NUM
ejpam-5737	374	10	1.0145	1.0145	NUM
ejpam-5737	374	11	0.2556	0.2556	NUM
ejpam-5737	374	12	0.9912	0.9912	NUM
ejpam-5737	374	13	0.2104	0.2104	NOUN
ejpam-5737	374	14	0.9931	0.9931	NUM
ejpam-5737	374	15	0.2210	0.2210	NUM
ejpam-5737	374	16	1.0024	1.0024	NUM
ejpam-5737	374	17	0.1995	0.1995	NUM
ejpam-5737	374	18	i	i	PRON
ejpam-5737	374	19	0.9987	0.9987	NUM
ejpam-5737	374	20	0.2827	0.2827	NUM
ejpam-5737	374	21	0.9890	0.9890	NUM
ejpam-5737	374	22	0.2320	0.2320	NUM
ejpam-5737	374	23	0.9807	0.9807	NUM
ejpam-5737	374	24	0.2087	0.2087	NUM
ejpam-5737	374	25	0.9937	0.9937	NUM
ejpam-5737	374	26	0.2011	0.2011	NUM
ejpam-5737	374	27	0.9819	0.9819	NUM
ejpam-5737	374	28	0.1708	0.1708	NUM
ejpam-5737	374	29	100	100	NUM
ejpam-5737	374	30	80	80	NUM
ejpam-5737	374	31	ii	ii	NOUN
ejpam-5737	374	32	0.9830	0.9830	NUM
ejpam-5737	374	33	0.2984	0.2984	NUM
ejpam-5737	374	34	0.9930	0.9930	NUM
ejpam-5737	374	35	0.2447	0.2447	NUM
ejpam-5737	374	36	0.9800	0.9800	NUM
ejpam-5737	375	1	0.2104	0.2104	NUM
ejpam-5737	375	2	0.9824	0.9824	NUM
ejpam-5737	375	3	0.2080	0.2080	NUM
ejpam-5737	375	4	0.9870	0.9870	NUM
ejpam-5737	375	5	0.1801	0.1801	NUM
ejpam-5737	375	6	iii	iii	X
ejpam-5737	375	7	0.9378	0.9378	NUM
ejpam-5737	375	8	0.2963	0.2963	NUM
ejpam-5737	375	9	0.9670	0.9670	NUM
ejpam-5737	375	10	0.2555	0.2555	NUM
ejpam-5737	375	11	0.9933	0.9933	NUM
ejpam-5737	375	12	0.2122	0.2122	NUM
ejpam-5737	375	13	0.9687	0.9687	NUM
ejpam-5737	375	14	0.2100	0.2100	NUM
ejpam-5737	375	15	0.9967	0.9967	NUM
ejpam-5737	375	16	0.1833	0.1833	NUM
ejpam-5737	375	17	:	:	PUNCT
ejpam-5737	375	18	s.	s.	PROPN
ejpam-5737	375	19	m.	m.	PROPN
ejpam-5737	375	20	ahmed	ahmed	PROPN
ejpam-5737	375	21	,	,	PUNCT
ejpam-5737	375	22	g.	g.	PROPN
ejpam-5737	375	23	m.	m.	PROPN
ejpam-5737	375	24	ismail	ismail	PROPN
ejpam-5737	375	25	/	/	SYM
ejpam-5737	375	26	eur	eur	PROPN
ejpam-5737	375	27	.	.	PUNCT
ejpam-5737	376	1	j.	j.	PROPN
ejpam-5737	376	2	pure	pure	PROPN
ejpam-5737	376	3	appl	appl	PROPN
ejpam-5737	376	4	.	.	PROPN
ejpam-5737	376	5	math	math	PROPN
ejpam-5737	376	6	,	,	PUNCT
ejpam-5737	376	7	18	18	NUM
ejpam-5737	376	8	(	(	PUNCT
ejpam-5737	376	9	1	1	NUM
ejpam-5737	376	10	)	)	PUNCT
ejpam-5737	376	11	(	(	PUNCT
ejpam-5737	376	12	2025	2025	NUM
ejpam-5737	376	13	)	)	PUNCT
ejpam-5737	376	14	,	,	PUNCT
ejpam-5737	376	15	5737	5737	NUM
ejpam-5737	376	16	15	15	NUM
ejpam-5737	376	17	of	of	ADP
ejpam-5737	376	18	22	22	NUM
ejpam-5737	376	19	table	table	NOUN
ejpam-5737	376	20	2	2	NUM
ejpam-5737	376	21	:	:	PUNCT
ejpam-5737	376	22	mean	mean	VERB
ejpam-5737	376	23	and	and	CCONJ
ejpam-5737	376	24	mse	mse	NOUN
ejpam-5737	376	25	of	of	ADP
ejpam-5737	376	26	the	the	DET
ejpam-5737	376	27	ml	ml	NOUN
ejpam-5737	376	28	,	,	PUNCT
ejpam-5737	376	29	bootstrap	bootstrap	NOUN
ejpam-5737	376	30	and	and	CCONJ
ejpam-5737	376	31	bayes	baye	NOUN
ejpam-5737	376	32	of	of	ADP
ejpam-5737	376	33	the	the	DET
ejpam-5737	376	34	entropy	entropy	PROPN
ejpam-5737	376	35	h(f	h(f	PROPN
ejpam-5737	376	36	)	)	PUNCT
ejpam-5737	376	37	at	at	ADP
ejpam-5737	376	38	τ	τ	X
ejpam-5737	376	39	=	=	SYM
ejpam-5737	376	40	1	1	X
ejpam-5737	376	41	.	.	PUNCT
ejpam-5737	377	1	β	β	NOUN
ejpam-5737	377	2	=	=	PUNCT
ejpam-5737	377	3	0.8	0.8	NUM
ejpam-5737	377	4	,	,	PUNCT
ejpam-5737	377	5	ξ	ξ	X
ejpam-5737	377	6	=	=	SYM
ejpam-5737	377	7	0.3	0.3	NUM
ejpam-5737	377	8	ml	ml	NOUN
ejpam-5737	377	9	boot	boot	PROPN
ejpam-5737	377	10	bayes	bayes	PROPN
ejpam-5737	377	11	se	se	PROPN
ejpam-5737	377	12	linex	linex	PROPN
ejpam-5737	377	13	c	c	AUX
ejpam-5737	378	1	=	=	PUNCT
ejpam-5737	379	1	−0.05	−0.05	NOUN
ejpam-5737	379	2	c	c	NOUN
ejpam-5737	379	3	=	=	SYM
ejpam-5737	379	4	0.05	0.05	NUM
ejpam-5737	379	5	n	n	NOUN
ejpam-5737	379	6	r	r	NOUN
ejpam-5737	379	7	cs	cs	PROPN
ejpam-5737	379	8	mean	mean	PROPN
ejpam-5737	379	9	mse	mse	PROPN
ejpam-5737	379	10	mean	mean	PROPN
ejpam-5737	379	11	mse	mse	PROPN
ejpam-5737	379	12	mean	mean	PROPN
ejpam-5737	379	13	mse	mse	PROPN
ejpam-5737	379	14	mean	mean	PROPN
ejpam-5737	379	15	mse	mse	PROPN
ejpam-5737	379	16	mean	mean	PROPN
ejpam-5737	379	17	mse	mse	PROPN
ejpam-5737	379	18	i	i	PRON
ejpam-5737	379	19	1.9245	1.9245	NUM
ejpam-5737	379	20	0.3248	0.3248	NUM
ejpam-5737	379	21	1.9307	1.9307	NUM
ejpam-5737	379	22	0.2528	0.2528	NUM
ejpam-5737	379	23	1.9370	1.9370	NUM
ejpam-5737	379	24	0.2148	0.2148	NUM
ejpam-5737	380	1	1.9325	1.9325	NUM
ejpam-5737	380	2	0.2021	0.2021	NUM
ejpam-5737	380	3	1.9207	1.9207	NUM
ejpam-5737	380	4	0.1933	0.1933	NUM
ejpam-5737	380	5	80	80	NUM
ejpam-5737	380	6	50	50	NUM
ejpam-5737	380	7	ii	ii	NUM
ejpam-5737	380	8	1.8934	1.8934	NUM
ejpam-5737	380	9	0.3269	0.3269	NUM
ejpam-5737	380	10	1.9427	1.9427	NUM
ejpam-5737	380	11	0.2657	0.2657	NUM
ejpam-5737	380	12	1.9904	1.9904	NUM
ejpam-5737	380	13	0.2117	0.2117	NUM
ejpam-5737	380	14	1.9638	1.9638	NUM
ejpam-5737	380	15	0.2234	0.2234	NUM
ejpam-5737	380	16	1.8965	1.8965	NUM
ejpam-5737	380	17	0.2140	0.2140	NUM
ejpam-5737	380	18	iii	iii	NUM
ejpam-5737	380	19	1.9250	1.9250	NUM
ejpam-5737	380	20	0.3350	0.3350	NUM
ejpam-5737	380	21	1.9670	1.9670	NUM
ejpam-5737	380	22	0.2751	0.2751	NUM
ejpam-5737	380	23	1.9680	1.9680	NUM
ejpam-5737	380	24	0.2280	0.2280	NUM
ejpam-5737	380	25	1.9740	1.9740	NUM
ejpam-5737	380	26	0.2518	0.2518	NUM
ejpam-5737	380	27	1.9968	1.9968	NUM
ejpam-5737	380	28	0.2284	0.2284	NUM
ejpam-5737	380	29	i	i	PRON
ejpam-5737	380	30	1.9441	1.9441	NUM
ejpam-5737	380	31	0.3087	0.3087	NUM
ejpam-5737	380	32	1.9583	1.9583	NUM
ejpam-5737	380	33	0.2145	0.2145	NUM
ejpam-5737	380	34	1.9529	1.9529	NUM
ejpam-5737	380	35	0.2083	0.2083	NUM
ejpam-5737	380	36	1.9516	1.9516	NUM
ejpam-5737	380	37	0.1932	0.1932	NUM
ejpam-5737	380	38	1.9900	1.9900	NUM
ejpam-5737	380	39	0.1812	0.1812	NUM
ejpam-5737	380	40	80	80	NUM
ejpam-5737	380	41	60	60	NUM
ejpam-5737	380	42	ii	ii	NUM
ejpam-5737	380	43	1.9801	1.9801	NUM
ejpam-5737	380	44	0.3088	0.3088	NUM
ejpam-5737	380	45	1.9811	1.9811	NUM
ejpam-5737	380	46	0.2734	0.2734	NUM
ejpam-5737	380	47	1.9932	1.9932	NUM
ejpam-5737	380	48	0.2183	0.2183	NUM
ejpam-5737	380	49	1.9924	1.9924	NUM
ejpam-5737	380	50	0.2067	0.2067	NUM
ejpam-5737	380	51	1.9960	1.9960	NUM
ejpam-5737	380	52	0.2154	0.2154	NUM
ejpam-5737	380	53	iii	iii	NUM
ejpam-5737	380	54	1.9217	1.9217	NUM
ejpam-5737	380	55	0.3157	0.3157	NUM
ejpam-5737	380	56	1.9330	1.9330	NUM
ejpam-5737	380	57	0.2964	0.2964	NUM
ejpam-5737	380	58	1.9821	1.9821	NUM
ejpam-5737	380	59	0.2518	0.2518	NUM
ejpam-5737	380	60	1.9872	1.9872	NUM
ejpam-5737	380	61	0.2146	0.2146	NUM
ejpam-5737	380	62	1.9854	1.9854	NUM
ejpam-5737	380	63	0.2214	0.2214	NUM
ejpam-5737	380	64	i	i	PRON
ejpam-5737	380	65	1.9960	1.9960	NUM
ejpam-5737	380	66	0.3007	0.3007	NUM
ejpam-5737	380	67	1.9423	1.9423	NUM
ejpam-5737	380	68	0.2845	0.2845	NUM
ejpam-5737	380	69	1.9668	1.9668	NUM
ejpam-5737	380	70	0.2008	0.2008	NUM
ejpam-5737	380	71	1.9450	1.9450	NUM
ejpam-5737	380	72	0.1918	0.1918	NUM
ejpam-5737	380	73	1.9484	1.9484	NUM
ejpam-5737	380	74	0.1700	0.1700	NUM
ejpam-5737	380	75	100	100	NUM
ejpam-5737	380	76	60	60	NUM
ejpam-5737	380	77	ii	ii	PROPN
ejpam-5737	380	78	1.9470	1.9470	NUM
ejpam-5737	380	79	0.3096	0.3096	NUM
ejpam-5737	380	80	1.8854	1.8854	NUM
ejpam-5737	380	81	0.2995	0.2995	NUM
ejpam-5737	380	82	1.9993	1.9993	NUM
ejpam-5737	380	83	0.2537	0.2537	NUM
ejpam-5737	380	84	1.9934	1.9934	NUM
ejpam-5737	380	85	0.2056	0.2056	NUM
ejpam-5737	380	86	1.8934	1.8934	NUM
ejpam-5737	380	87	0.1991	0.1991	NUM
ejpam-5737	380	88	iii	iii	NUM
ejpam-5737	380	89	1.8990	1.8990	NUM
ejpam-5737	380	90	0.3099	0.3099	NUM
ejpam-5737	380	91	1.9127	1.9127	NUM
ejpam-5737	380	92	0.2998	0.2998	NUM
ejpam-5737	380	93	1.9478	1.9478	NUM
ejpam-5737	380	94	0.2850	0.2850	NUM
ejpam-5737	380	95	1.9870	1.9870	NUM
ejpam-5737	380	96	0.2349	0.2349	NUM
ejpam-5737	380	97	1.9956	1.9956	NUM
ejpam-5737	380	98	0.2175	0.2175	NUM
ejpam-5737	380	99	i	i	PRON
ejpam-5737	380	100	1.9807	1.9807	NUM
ejpam-5737	380	101	0.2756	0.2756	NUM
ejpam-5737	381	1	1.9657	1.9657	NUM
ejpam-5737	381	2	0.2450	0.2450	NUM
ejpam-5737	381	3	1.9880	1.9880	NUM
ejpam-5737	381	4	0.2014	0.2014	NUM
ejpam-5737	381	5	1.9704	1.9704	NUM
ejpam-5737	381	6	0.1824	0.1824	NUM
ejpam-5737	381	7	1.9815	1.9815	NUM
ejpam-5737	381	8	0.1634	0.1634	NUM
ejpam-5737	381	9	100	100	NUM
ejpam-5737	381	10	80	80	NUM
ejpam-5737	381	11	ii	ii	NUM
ejpam-5737	381	12	1.9967	1.9967	NUM
ejpam-5737	381	13	0.2967	0.2967	NUM
ejpam-5737	381	14	1.9218	1.9218	NUM
ejpam-5737	381	15	0.2750	0.2750	NUM
ejpam-5737	381	16	1.9825	1.9825	NUM
ejpam-5737	381	17	0.2527	0.2527	NUM
ejpam-5737	381	18	1.9962	1.9962	NUM
ejpam-5737	381	19	0.2014	0.2014	NUM
ejpam-5737	381	20	1.8863	1.8863	NUM
ejpam-5737	381	21	0.1993	0.1993	NUM
ejpam-5737	381	22	iii	iii	NUM
ejpam-5737	381	23	1.9670	1.9670	NUM
ejpam-5737	381	24	0.2998	0.2998	NUM
ejpam-5737	381	25	1.8968	1.8968	NUM
ejpam-5737	381	26	0.2934	0.2934	NUM
ejpam-5737	381	27	1.9934	1.9934	NUM
ejpam-5737	381	28	0.2631	0.2631	NUM
ejpam-5737	381	29	1.9278	1.9278	NUM
ejpam-5737	381	30	0.2527	0.2527	NUM
ejpam-5737	381	31	1.8960	1.8960	NUM
ejpam-5737	381	32	0.2427	0.2427	NUM
ejpam-5737	381	33	β	β	X
ejpam-5737	381	34	=	=	SYM
ejpam-5737	381	35	1.5	1.5	NUM
ejpam-5737	381	36	,	,	PUNCT
ejpam-5737	381	37	ξ	ξ	X
ejpam-5737	381	38	=	=	SYM
ejpam-5737	381	39	0.5	0.5	NUM
ejpam-5737	381	40	i	i	NUM
ejpam-5737	381	41	1.0128	1.0128	NUM
ejpam-5737	381	42	0.3049	0.3049	NUM
ejpam-5737	381	43	0.9907	0.9907	NUM
ejpam-5737	381	44	0.2608	0.2608	NUM
ejpam-5737	381	45	0.9838	0.9838	NUM
ejpam-5737	381	46	0.2546	0.2546	NUM
ejpam-5737	381	47	0.9751	0.9751	NUM
ejpam-5737	381	48	0.2145	0.2145	NUM
ejpam-5737	381	49	0.9910	0.9910	NUM
ejpam-5737	381	50	0.2001	0.2001	NUM
ejpam-5737	381	51	80	80	NUM
ejpam-5737	381	52	50	50	NUM
ejpam-5737	381	53	ii	ii	NUM
ejpam-5737	381	54	1.0213	1.0213	NUM
ejpam-5737	381	55	0.3157	0.3157	NUM
ejpam-5737	381	56	1.0053	1.0053	NUM
ejpam-5737	381	57	0.2772	0.2772	NUM
ejpam-5737	381	58	1.0041	1.0041	NUM
ejpam-5737	382	1	0.2751	0.2751	NUM
ejpam-5737	383	1	0.9845	0.9845	NUM
ejpam-5737	383	2	0.2548	0.2548	NUM
ejpam-5737	383	3	0.9958	0.9958	NUM
ejpam-5737	383	4	0.2172	0.2172	NUM
ejpam-5737	383	5	iii	iii	NUM
ejpam-5737	383	6	1.0184	1.0184	NUM
ejpam-5737	383	7	0.3199	0.3199	NUM
ejpam-5737	383	8	1.0048	1.0048	NUM
ejpam-5737	383	9	0.2934	0.2934	NUM
ejpam-5737	383	10	0.9934	0.9934	NUM
ejpam-5737	383	11	0.2281	0.2281	NUM
ejpam-5737	383	12	0.9995	0.9995	NUM
ejpam-5737	383	13	0.2648	0.2648	NUM
ejpam-5737	383	14	0.9938	0.9938	NUM
ejpam-5737	383	15	0.2510	0.2510	NUM
ejpam-5737	384	1	i	i	PRON
ejpam-5737	384	2	0.9967	0.9967	NUM
ejpam-5737	384	3	0.2907	0.2907	NUM
ejpam-5737	384	4	0.9972	0.9972	NUM
ejpam-5737	384	5	0.2560	0.2560	NUM
ejpam-5737	384	6	1.0033	1.0033	NUM
ejpam-5737	384	7	0.2470	0.2470	NUM
ejpam-5737	384	8	1.0087	1.0087	NUM
ejpam-5737	384	9	0.2137	0.2137	NUM
ejpam-5737	384	10	1.0159	1.0159	NUM
ejpam-5737	384	11	0.2001	0.2001	NUM
ejpam-5737	384	12	80	80	NUM
ejpam-5737	384	13	60	60	NUM
ejpam-5737	384	14	ii	ii	NUM
ejpam-5737	384	15	0.9937	0.9937	NUM
ejpam-5737	384	16	0.3048	0.3048	NUM
ejpam-5737	384	17	0.9990	0.9990	NUM
ejpam-5737	384	18	0.2647	0.2647	NUM
ejpam-5737	384	19	1.0082	1.0082	NUM
ejpam-5737	384	20	0.2510	0.2510	NUM
ejpam-5737	384	21	1.0047	1.0047	NUM
ejpam-5737	384	22	0.2227	0.2227	NUM
ejpam-5737	384	23	1.0051	1.0051	NUM
ejpam-5737	384	24	0.2247	0.2247	NUM
ejpam-5737	384	25	iii	iii	NUM
ejpam-5737	384	26	0.9853	0.9853	NUM
ejpam-5737	384	27	0.3089	0.3089	NUM
ejpam-5737	384	28	0.9580	0.9580	NUM
ejpam-5737	384	29	0.2780	0.2780	NUM
ejpam-5737	384	30	1.0544	1.0544	NUM
ejpam-5737	384	31	0.2630	0.2630	NUM
ejpam-5737	384	32	1.0208	1.0208	NUM
ejpam-5737	384	33	0.2638	0.2638	NUM
ejpam-5737	384	34	1.0028	1.0028	NUM
ejpam-5737	384	35	0.2599	0.2599	NUM
ejpam-5737	384	36	i	i	PRON
ejpam-5737	384	37	1.0073	1.0073	NUM
ejpam-5737	384	38	0.3007	0.3007	NUM
ejpam-5737	384	39	0.9677	0.9677	NUM
ejpam-5737	384	40	0.2478	0.2478	NUM
ejpam-5737	384	41	1.0408	1.0408	NUM
ejpam-5737	384	42	0.2128	0.2128	NUM
ejpam-5737	384	43	1.0210	1.0210	NUM
ejpam-5737	384	44	0.2084	0.2084	NUM
ejpam-5737	384	45	1.0138	1.0138	NUM
ejpam-5737	384	46	0.1901	0.1901	NUM
ejpam-5737	384	47	100	100	NUM
ejpam-5737	384	48	60	60	NUM
ejpam-5737	384	49	ii	ii	NUM
ejpam-5737	384	50	1.0128	1.0128	NUM
ejpam-5737	384	51	0.3108	0.3108	NUM
ejpam-5737	384	52	1.0247	1.0247	NUM
ejpam-5737	384	53	0.2529	0.2529	NUM
ejpam-5737	384	54	1.0084	1.0084	NUM
ejpam-5737	384	55	0.2257	0.2257	NUM
ejpam-5737	384	56	1.0249	1.0249	NUM
ejpam-5737	384	57	0.2452	0.2452	NUM
ejpam-5737	384	58	1.0521	1.0521	NUM
ejpam-5737	384	59	0.2400	0.2400	NUM
ejpam-5737	384	60	iii	iii	NUM
ejpam-5737	384	61	1.0174	1.0174	NUM
ejpam-5737	384	62	0.3127	0.3127	NUM
ejpam-5737	384	63	1.0004	1.0004	NUM
ejpam-5737	384	64	0.2660	0.2660	NUM
ejpam-5737	384	65	1.0899	1.0899	NUM
ejpam-5737	384	66	0.2712	0.2712	NUM
ejpam-5737	384	67	0.9886	0.9886	NUM
ejpam-5737	384	68	0.2234	0.2234	NUM
ejpam-5737	384	69	1.0066	1.0066	NUM
ejpam-5737	384	70	0.2310	0.2310	NUM
ejpam-5737	384	71	i	i	PRON
ejpam-5737	384	72	0.9821	0.9821	NUM
ejpam-5737	384	73	0.2927	0.2927	NUM
ejpam-5737	384	74	0.9933	0.9933	NUM
ejpam-5737	384	75	0.2438	0.2438	NUM
ejpam-5737	384	76	0.9914	0.9914	NUM
ejpam-5737	384	77	0.2123	0.2123	NUM
ejpam-5737	384	78	0.9969	0.9969	NUM
ejpam-5737	384	79	0.2058	0.2058	NUM
ejpam-5737	384	80	0.9916	0.9916	NUM
ejpam-5737	384	81	0.1884	0.1884	NUM
ejpam-5737	384	82	100	100	NUM
ejpam-5737	384	83	80	80	NUM
ejpam-5737	384	84	ii	ii	NUM
ejpam-5737	384	85	0.9968	0.9968	NUM
ejpam-5737	384	86	0.3046	0.3046	NUM
ejpam-5737	384	87	0.9657	0.9657	NUM
ejpam-5737	384	88	0.2570	0.2570	NUM
ejpam-5737	384	89	0.9937	0.9937	NUM
ejpam-5737	384	90	0.2524	0.2524	NUM
ejpam-5737	384	91	0.9954	0.9954	NUM
ejpam-5737	384	92	0.2634	0.2634	NUM
ejpam-5737	384	93	0.9760	0.9760	NUM
ejpam-5737	384	94	0.2430	0.2430	NUM
ejpam-5737	384	95	iii	iii	NUM
ejpam-5737	384	96	0.9931	0.9931	NUM
ejpam-5737	384	97	0.3086	0.3086	NUM
ejpam-5737	384	98	0.9980	0.9980	NUM
ejpam-5737	384	99	0.2668	0.2668	NUM
ejpam-5737	384	100	0.9920	0.9920	NUM
ejpam-5737	384	101	0.2554	0.2554	NUM
ejpam-5737	384	102	0.9964	0.9964	NUM
ejpam-5737	384	103	0.2754	0.2754	NUM
ejpam-5737	384	104	0.9931	0.9931	NUM
ejpam-5737	384	105	0.2465	0.2465	NUM
ejpam-5737	384	106	s.	s.	PROPN
ejpam-5737	384	107	m.	m.	PROPN
ejpam-5737	384	108	ahmed	ahmed	PROPN
ejpam-5737	384	109	,	,	PUNCT
ejpam-5737	384	110	g.	g.	PROPN
ejpam-5737	384	111	m.	m.	PROPN
ejpam-5737	384	112	ismail	ismail	PROPN
ejpam-5737	384	113	/	/	SYM
ejpam-5737	384	114	eur	eur	PROPN
ejpam-5737	384	115	.	.	PUNCT
ejpam-5737	385	1	j.	j.	PROPN
ejpam-5737	385	2	pure	pure	PROPN
ejpam-5737	385	3	appl	appl	PROPN
ejpam-5737	385	4	.	.	PROPN
ejpam-5737	385	5	math	math	PROPN
ejpam-5737	385	6	,	,	PUNCT
ejpam-5737	385	7	18	18	NUM
ejpam-5737	385	8	(	(	PUNCT
ejpam-5737	385	9	1	1	NUM
ejpam-5737	385	10	)	)	PUNCT
ejpam-5737	385	11	(	(	PUNCT
ejpam-5737	385	12	2025	2025	NUM
ejpam-5737	385	13	)	)	PUNCT
ejpam-5737	385	14	,	,	PUNCT
ejpam-5737	385	15	5737	5737	NUM
ejpam-5737	385	16	16	16	NUM
ejpam-5737	385	17	of	of	ADP
ejpam-5737	385	18	22	22	NUM
ejpam-5737	385	19	table	table	NOUN
ejpam-5737	385	20	3	3	NUM
ejpam-5737	385	21	:	:	PUNCT
ejpam-5737	385	22	mean	mean	VERB
ejpam-5737	385	23	length	length	NOUN
ejpam-5737	385	24	and	and	CCONJ
ejpam-5737	385	25	cp	cp	INTJ
ejpam-5737	385	26	of	of	ADP
ejpam-5737	385	27	ml	ml	PROPN
ejpam-5737	385	28	,	,	PUNCT
ejpam-5737	385	29	bootstrap	bootstrap	NOUN
ejpam-5737	385	30	and	and	CCONJ
ejpam-5737	385	31	bayes	baye	NOUN
ejpam-5737	385	32	of	of	ADP
ejpam-5737	385	33	the	the	DET
ejpam-5737	385	34	entropy	entropy	NOUN
ejpam-5737	385	35	at	at	ADP
ejpam-5737	385	36	τ	τ	PROPN
ejpam-5737	385	37	=	=	PUNCT
ejpam-5737	385	38	0.3	0.3	NUM
ejpam-5737	385	39	.	.	PUNCT
ejpam-5737	386	1	β	β	X
ejpam-5737	386	2	=	=	NUM
ejpam-5737	386	3	0.8	0.8	NUM
ejpam-5737	386	4	,	,	PUNCT
ejpam-5737	386	5	ξ	ξ	X
ejpam-5737	386	6	=	=	SYM
ejpam-5737	386	7	0.3	0.3	NUM
ejpam-5737	386	8	mle	mle	PROPN
ejpam-5737	386	9	bootstrap	bootstrap	NOUN
ejpam-5737	386	10	bayes	bayes	PROPN
ejpam-5737	386	11	n	n	ADP
ejpam-5737	387	1	r	r	NOUN
ejpam-5737	387	2	cs	cs	NOUN
ejpam-5737	387	3	mean	mean	NOUN
ejpam-5737	387	4	length	length	NOUN
ejpam-5737	388	1	cp	cp	INTJ
ejpam-5737	388	2	mean	mean	VERB
ejpam-5737	388	3	length	length	NOUN
ejpam-5737	389	1	cp	cp	INTJ
ejpam-5737	389	2	mean	mean	VERB
ejpam-5737	389	3	length	length	NOUN
ejpam-5737	390	1	cp	cp	INTJ
ejpam-5737	391	1	i	i	PRON
ejpam-5737	391	2	1.5720	1.5720	NUM
ejpam-5737	391	3	0.9460	0.9460	NUM
ejpam-5737	391	4	1.4906	1.4906	NUM
ejpam-5737	391	5	0.9280	0.9280	NUM
ejpam-5737	391	6	1.1185	1.1185	NUM
ejpam-5737	391	7	0.9500	0.9500	NUM
ejpam-5737	391	8	80	80	NUM
ejpam-5737	391	9	50	50	NUM
ejpam-5737	391	10	ii	ii	NUM
ejpam-5737	391	11	1.5107	1.5107	NUM
ejpam-5737	391	12	0.9320	0.9320	NUM
ejpam-5737	391	13	1.5208	1.5208	NUM
ejpam-5737	391	14	0.9160	0.9160	NUM
ejpam-5737	391	15	1.0982	1.0982	NUM
ejpam-5737	391	16	0.9340	0.9340	NUM
ejpam-5737	391	17	iii	iii	NUM
ejpam-5737	391	18	1.5073	1.5073	NUM
ejpam-5737	391	19	0.9160	0.9160	NUM
ejpam-5737	391	20	1.5107	1.5107	NUM
ejpam-5737	391	21	0.9080	0.9080	NUM
ejpam-5737	391	22	1.1130	1.1130	NUM
ejpam-5737	391	23	0.9320	0.9320	NUM
ejpam-5737	391	24	i	i	PRON
ejpam-5737	391	25	1.4870	1.4870	NUM
ejpam-5737	391	26	0.9500	0.9500	NUM
ejpam-5737	391	27	1.4458	1.4458	NUM
ejpam-5737	391	28	0.9500	0.9500	NUM
ejpam-5737	391	29	1.0253	1.0253	NUM
ejpam-5737	391	30	0.9640	0.9640	NUM
ejpam-5737	391	31	80	80	NUM
ejpam-5737	391	32	60	60	NUM
ejpam-5737	391	33	ii	ii	NUM
ejpam-5737	391	34	1.5420	1.5420	NUM
ejpam-5737	391	35	0.9340	0.9340	NUM
ejpam-5737	391	36	1.4283	1.4283	NUM
ejpam-5737	391	37	0.9340	0.9340	NUM
ejpam-5737	391	38	1.2104	1.2104	NUM
ejpam-5737	391	39	0.9560	0.9560	NUM
ejpam-5737	391	40	iii	iii	NUM
ejpam-5737	391	41	1.4630	1.4630	NUM
ejpam-5737	391	42	0.9280	0.9280	NUM
ejpam-5737	391	43	1.5012	1.5012	NUM
ejpam-5737	391	44	0.9320	0.9320	NUM
ejpam-5737	391	45	1.2113	1.2113	NUM
ejpam-5737	391	46	0.9460	0.9460	NUM
ejpam-5737	391	47	i	i	PRON
ejpam-5737	391	48	1.5004	1.5004	NUM
ejpam-5737	391	49	0.9500	0.9500	NUM
ejpam-5737	391	50	1.5296	1.5296	NUM
ejpam-5737	391	51	0.9520	0.9520	NUM
ejpam-5737	391	52	1.2104	1.2104	NUM
ejpam-5737	391	53	0.9760	0.9760	NUM
ejpam-5737	391	54	100	100	NUM
ejpam-5737	391	55	60	60	NUM
ejpam-5737	391	56	ii	ii	NUM
ejpam-5737	391	57	1.5133	1.5133	NUM
ejpam-5737	391	58	0.9320	0.9320	NUM
ejpam-5737	391	59	1.5183	1.5183	NUM
ejpam-5737	391	60	0.9460	0.9460	NUM
ejpam-5737	391	61	1.0214	1.0214	NUM
ejpam-5737	391	62	0.9500	0.9500	NUM
ejpam-5737	391	63	iii	iii	NUM
ejpam-5737	391	64	1.4820	1.4820	NUM
ejpam-5737	391	65	0.9560	0.9560	NUM
ejpam-5737	391	66	1.4170	1.4170	NUM
ejpam-5737	391	67	0.9320	0.9320	NUM
ejpam-5737	391	68	1.3240	1.3240	NUM
ejpam-5737	391	69	0.9320	0.9320	NUM
ejpam-5737	391	70	i	i	PROPN
ejpam-5737	391	71	1.3879	1.3879	NUM
ejpam-5737	391	72	0.9520	0.9520	NUM
ejpam-5737	391	73	1.3084	1.3084	NUM
ejpam-5737	392	1	0.9560	0.9560	NUM
ejpam-5737	392	2	1.0245	1.0245	NUM
ejpam-5737	392	3	0.9460	0.9460	NUM
ejpam-5737	392	4	100	100	NUM
ejpam-5737	392	5	80	80	NUM
ejpam-5737	392	6	ii	ii	NUM
ejpam-5737	392	7	1.4452	1.4452	NUM
ejpam-5737	392	8	0.9340	0.9340	NUM
ejpam-5737	393	1	1.4406	1.4406	NUM
ejpam-5737	393	2	0.9520	0.9520	NUM
ejpam-5737	393	3	1.3201	1.3201	NUM
ejpam-5737	393	4	0.9500	0.9500	NUM
ejpam-5737	393	5	iii	iii	NUM
ejpam-5737	393	6	1.5480	1.5480	NUM
ejpam-5737	393	7	0.9200	0.9200	NUM
ejpam-5737	393	8	1.4120	1.4120	NUM
ejpam-5737	393	9	0.9500	0.9500	NUM
ejpam-5737	393	10	1.3004	1.3004	NUM
ejpam-5737	393	11	0.9720	0.9720	NUM
ejpam-5737	393	12	β	β	X
ejpam-5737	393	13	=	=	SYM
ejpam-5737	393	14	1.5	1.5	NUM
ejpam-5737	393	15	,	,	PUNCT
ejpam-5737	393	16	ξ	ξ	X
ejpam-5737	393	17	=	=	SYM
ejpam-5737	393	18	0.5	0.5	NUM
ejpam-5737	393	19	i	i	NOUN
ejpam-5737	393	20	0.9140	0.9140	NUM
ejpam-5737	393	21	0.9360	0.9360	NUM
ejpam-5737	393	22	0.9210	0.9210	NUM
ejpam-5737	393	23	0.9360	0.9360	NUM
ejpam-5737	393	24	0.9245	0.9245	NUM
ejpam-5737	393	25	0.9460	0.9460	NUM
ejpam-5737	393	26	80	80	NUM
ejpam-5737	393	27	50	50	NUM
ejpam-5737	393	28	ii	ii	NOUN
ejpam-5737	393	29	0.9128	0.9128	NUM
ejpam-5737	393	30	0.9140	0.9140	NUM
ejpam-5737	393	31	1.0053	1.0053	NUM
ejpam-5737	393	32	0.9040	0.9040	NUM
ejpam-5737	393	33	09543	09543	NUM
ejpam-5737	393	34	0.9240	0.9240	NUM
ejpam-5737	393	35	iii	iii	NUM
ejpam-5737	393	36	0.9348	0.9348	NUM
ejpam-5737	393	37	0.9280	0.9280	NUM
ejpam-5737	393	38	0.9210	0.9210	NUM
ejpam-5737	393	39	0.9160	0.9160	NUM
ejpam-5737	393	40	0.9180	0.9180	NUM
ejpam-5737	393	41	0.9320	0.9320	NUM
ejpam-5737	393	42	i	i	PRON
ejpam-5737	393	43	1.1250	1.1250	NUM
ejpam-5737	393	44	0.9480	0.9480	NUM
ejpam-5737	393	45	0.9207	0.9207	NUM
ejpam-5737	393	46	0.9240	0.9240	NUM
ejpam-5737	393	47	0.9324	0.9324	NUM
ejpam-5737	393	48	0.9500	0.9500	NUM
ejpam-5737	393	49	80	80	NUM
ejpam-5737	393	50	60	60	NUM
ejpam-5737	393	51	ii	ii	NUM
ejpam-5737	393	52	1.0899	1.0899	NUM
ejpam-5737	393	53	0.9360	0.9360	NUM
ejpam-5737	393	54	0.9990	0.9990	NUM
ejpam-5737	393	55	0.9300	0.9300	NUM
ejpam-5737	393	56	0.9638	0.9638	NUM
ejpam-5737	393	57	0.9340	0.9340	NUM
ejpam-5737	393	58	iii	iii	NUM
ejpam-5737	393	59	1.0233	1.0233	NUM
ejpam-5737	393	60	0.9280	0.9280	NUM
ejpam-5737	393	61	0.9207	0.9207	NUM
ejpam-5737	393	62	0.9320	0.9320	NUM
ejpam-5737	393	63	0.9109	0.9109	NUM
ejpam-5737	393	64	0.9460	0.9460	NUM
ejpam-5737	393	65	i	i	PRON
ejpam-5737	393	66	0.9967	0.9967	NUM
ejpam-5737	394	1	0.9540	0.9540	NUM
ejpam-5737	394	2	0.9087	0.9087	NUM
ejpam-5737	394	3	0.9460	0.9460	NUM
ejpam-5737	394	4	0.9137	0.9137	NUM
ejpam-5737	394	5	0.9420	0.9420	NUM
ejpam-5737	394	6	100	100	NUM
ejpam-5737	394	7	60	60	NUM
ejpam-5737	394	8	ii	ii	NUM
ejpam-5737	394	9	1.0018	1.0018	NUM
ejpam-5737	394	10	0.9480	0.9480	NUM
ejpam-5737	394	11	1.0247	1.0247	NUM
ejpam-5737	394	12	0.9300	0.9300	NUM
ejpam-5737	394	13	0.9126	0.9126	NUM
ejpam-5737	394	14	0.9460	0.9460	NUM
ejpam-5737	394	15	iii	iii	NUM
ejpam-5737	394	16	0.9421	0.9421	NUM
ejpam-5737	394	17	0.9320	0.9320	NUM
ejpam-5737	394	18	0.9087	0.9087	NUM
ejpam-5737	394	19	0.9320	0.9320	NUM
ejpam-5737	394	20	0.9137	0.9137	NUM
ejpam-5737	394	21	0.9500	0.9500	NUM
ejpam-5737	394	22	i	i	NOUN
ejpam-5737	394	23	0.9453	0.9453	NUM
ejpam-5737	394	24	0.9280	0.9280	NUM
ejpam-5737	394	25	0.9248	0.9248	NUM
ejpam-5737	394	26	0.9560	0.9560	NUM
ejpam-5737	394	27	0.9218	0.9218	NUM
ejpam-5737	394	28	0.9740	0.9740	NUM
ejpam-5737	394	29	100	100	NUM
ejpam-5737	394	30	80	80	NUM
ejpam-5737	394	31	ii	ii	NUM
ejpam-5737	394	32	0.9638	0.9638	NUM
ejpam-5737	394	33	0.9160	0.9160	NUM
ejpam-5737	394	34	0.9657	0.9657	NUM
ejpam-5737	394	35	0.9460	0.9460	NUM
ejpam-5737	394	36	0.9875	0.9875	NUM
ejpam-5737	394	37	0.9700	0.9700	NUM
ejpam-5737	394	38	iii	iii	NOUN
ejpam-5737	394	39	0.9453	0.9453	NUM
ejpam-5737	394	40	0.9280	0.9280	NUM
ejpam-5737	394	41	0.9248	0.9248	NUM
ejpam-5737	394	42	0.9340	0.9340	NUM
ejpam-5737	394	43	0.9974	0.9974	NUM
ejpam-5737	394	44	0.9640	0.9640	NUM
ejpam-5737	394	45	s.	s.	PROPN
ejpam-5737	394	46	m.	m.	PROPN
ejpam-5737	394	47	ahmed	ahmed	PROPN
ejpam-5737	394	48	,	,	PUNCT
ejpam-5737	394	49	g.	g.	PROPN
ejpam-5737	394	50	m.	m.	PROPN
ejpam-5737	394	51	ismail	ismail	PROPN
ejpam-5737	394	52	/	/	SYM
ejpam-5737	394	53	eur	eur	PROPN
ejpam-5737	394	54	.	.	PUNCT
ejpam-5737	395	1	j.	j.	PROPN
ejpam-5737	395	2	pure	pure	PROPN
ejpam-5737	395	3	appl	appl	PROPN
ejpam-5737	395	4	.	.	PROPN
ejpam-5737	395	5	math	math	PROPN
ejpam-5737	395	6	,	,	PUNCT
ejpam-5737	395	7	18	18	NUM
ejpam-5737	395	8	(	(	PUNCT
ejpam-5737	395	9	1	1	NUM
ejpam-5737	395	10	)	)	PUNCT
ejpam-5737	395	11	(	(	PUNCT
ejpam-5737	395	12	2025	2025	NUM
ejpam-5737	395	13	)	)	PUNCT
ejpam-5737	395	14	,	,	PUNCT
ejpam-5737	395	15	5737	5737	NUM
ejpam-5737	395	16	17	17	NUM
ejpam-5737	395	17	of	of	ADP
ejpam-5737	395	18	22	22	NUM
ejpam-5737	395	19	table	table	NOUN
ejpam-5737	395	20	4	4	NUM
ejpam-5737	395	21	:	:	PUNCT
ejpam-5737	395	22	mean	mean	VERB
ejpam-5737	395	23	length	length	NOUN
ejpam-5737	395	24	and	and	CCONJ
ejpam-5737	395	25	cp	cp	INTJ
ejpam-5737	395	26	of	of	ADP
ejpam-5737	395	27	ml	ml	PROPN
ejpam-5737	395	28	,	,	PUNCT
ejpam-5737	395	29	bootstrap	bootstrap	NOUN
ejpam-5737	395	30	and	and	CCONJ
ejpam-5737	395	31	bayes	baye	NOUN
ejpam-5737	395	32	of	of	ADP
ejpam-5737	395	33	the	the	DET
ejpam-5737	395	34	entropy	entropy	NOUN
ejpam-5737	395	35	at	at	ADP
ejpam-5737	395	36	τ	τ	PROPN
ejpam-5737	395	37	=	=	SYM
ejpam-5737	395	38	1	1	X
ejpam-5737	395	39	.	.	PUNCT
ejpam-5737	396	1	β	β	NOUN
ejpam-5737	396	2	=	=	PUNCT
ejpam-5737	396	3	0.8	0.8	NUM
ejpam-5737	396	4	,	,	PUNCT
ejpam-5737	396	5	ξ	ξ	X
ejpam-5737	396	6	=	=	SYM
ejpam-5737	396	7	0.3	0.3	NUM
ejpam-5737	396	8	mle	mle	PROPN
ejpam-5737	396	9	bootstrap	bootstrap	NOUN
ejpam-5737	396	10	bayes	bayes	PROPN
ejpam-5737	396	11	n	n	ADP
ejpam-5737	396	12	r	r	NOUN
ejpam-5737	396	13	cs	cs	NOUN
ejpam-5737	396	14	mean	mean	NOUN
ejpam-5737	396	15	length	length	NOUN
ejpam-5737	397	1	cp	cp	INTJ
ejpam-5737	397	2	mean	mean	VERB
ejpam-5737	398	1	length	length	NOUN
ejpam-5737	399	1	cp	cp	INTJ
ejpam-5737	399	2	mean	mean	VERB
ejpam-5737	399	3	length	length	NOUN
ejpam-5737	400	1	cp	cp	INTJ
ejpam-5737	400	2	i	i	PRON
ejpam-5737	400	3	1.4210	1.4210	NUM
ejpam-5737	400	4	0.9520	0.9520	NUM
ejpam-5737	400	5	1.5124	1.5124	NUM
ejpam-5737	401	1	0.9340	0.9340	NUM
ejpam-5737	401	2	1.4563	1.4563	NUM
ejpam-5737	401	3	0.9460	0.9460	NUM
ejpam-5737	401	4	80	80	NUM
ejpam-5737	401	5	50	50	NUM
ejpam-5737	401	6	ii	ii	NUM
ejpam-5737	401	7	1.4860	1.4860	NUM
ejpam-5737	401	8	0.9460	0.9460	NUM
ejpam-5737	401	9	1.4865	1.4865	NUM
ejpam-5737	401	10	0.9240	0.9240	NUM
ejpam-5737	401	11	1.5429	1.5429	NUM
ejpam-5737	401	12	0.9342	0.9342	NUM
ejpam-5737	401	13	iii	iii	NUM
ejpam-5737	401	14	1.5240	1.5240	NUM
ejpam-5737	401	15	0.9640	0.9640	NUM
ejpam-5737	401	16	1.5600	1.5600	NUM
ejpam-5737	401	17	0.9160	0.9160	NUM
ejpam-5737	401	18	1.2014	1.2014	NUM
ejpam-5737	401	19	0.9320	0.9320	NUM
ejpam-5737	401	20	i	i	PRON
ejpam-5737	401	21	1.4148	1.4148	NUM
ejpam-5737	401	22	0.9540	0.9540	NUM
ejpam-5737	401	23	1.4458	1.4458	NUM
ejpam-5737	401	24	0.9500	0.9500	NUM
ejpam-5737	401	25	1.4562	1.4562	NUM
ejpam-5737	401	26	0.9640	0.9640	NUM
ejpam-5737	401	27	80	80	NUM
ejpam-5737	401	28	60	60	NUM
ejpam-5737	401	29	ii	ii	NUM
ejpam-5737	401	30	1.4538	1.4538	NUM
ejpam-5737	401	31	0.9240	0.9240	NUM
ejpam-5737	401	32	1.4283	1.4283	NUM
ejpam-5737	401	33	0.9340	0.9340	NUM
ejpam-5737	401	34	1.2433	1.2433	NUM
ejpam-5737	401	35	0.9600	0.9600	NUM
ejpam-5737	401	36	iii	iii	NUM
ejpam-5737	401	37	1.5264	1.5264	NUM
ejpam-5737	401	38	0.9320	0.9320	NUM
ejpam-5737	401	39	1.4094	1.4094	NUM
ejpam-5737	401	40	0.9480	0.9480	NUM
ejpam-5737	401	41	1.2363	1.2363	NUM
ejpam-5737	401	42	0.9540	0.9540	NUM
ejpam-5737	401	43	i	i	PRON
ejpam-5737	401	44	1.4984	1.4984	NUM
ejpam-5737	401	45	0.9640	0.9640	NUM
ejpam-5737	401	46	1.5296	1.5296	NUM
ejpam-5737	401	47	0.9520	0.9520	NUM
ejpam-5737	401	48	1.2213	1.2213	NUM
ejpam-5737	401	49	0.9600	0.9600	NUM
ejpam-5737	401	50	100	100	NUM
ejpam-5737	401	51	60	60	NUM
ejpam-5737	401	52	ii	ii	NUM
ejpam-5737	401	53	1.6433	1.6433	NUM
ejpam-5737	401	54	0.9540	0.9540	NUM
ejpam-5737	401	55	1.5183	1.5183	NUM
ejpam-5737	401	56	0.9460	0.9460	NUM
ejpam-5737	401	57	1.2130	1.2130	NUM
ejpam-5737	401	58	0.9640	0.9640	NUM
ejpam-5737	401	59	iii	iii	NUM
ejpam-5737	401	60	1.5047	1.5047	NUM
ejpam-5737	401	61	0.9320	0.9320	NUM
ejpam-5737	401	62	1.4190	1.4190	NUM
ejpam-5737	401	63	0.9480	0.9480	NUM
ejpam-5737	401	64	1.2207	1.2207	NUM
ejpam-5737	401	65	0.9500	0.9500	NUM
ejpam-5737	401	66	i	i	PRON
ejpam-5737	401	67	1.4529	1.4529	NUM
ejpam-5737	401	68	0.9140	0.9140	NUM
ejpam-5737	401	69	1.3084	1.3084	NUM
ejpam-5737	401	70	0.9560	0.9560	NUM
ejpam-5737	401	71	1.2001	1.2001	NUM
ejpam-5737	401	72	0.9720	0.9720	NUM
ejpam-5737	401	73	100	100	NUM
ejpam-5737	401	74	80	80	NUM
ejpam-5737	401	75	ii	ii	NUM
ejpam-5737	401	76	1.4637	1.4637	NUM
ejpam-5737	401	77	0.9240	0.9240	NUM
ejpam-5737	401	78	1.4406	1.4406	NUM
ejpam-5737	401	79	0.9520	0.9520	NUM
ejpam-5737	401	80	1.2540	1.2540	NUM
ejpam-5737	401	81	0.9620	0.9620	NUM
ejpam-5737	401	82	iii	iii	NUM
ejpam-5737	401	83	1.4258	1.4258	NUM
ejpam-5737	401	84	0.9460	0.9460	NUM
ejpam-5737	401	85	1.2148	1.2148	NUM
ejpam-5737	401	86	0.9500	0.9500	NUM
ejpam-5737	401	87	1.2019	1.2019	NUM
ejpam-5737	401	88	0.9680	0.9680	NUM
ejpam-5737	401	89	β	β	X
ejpam-5737	401	90	=	=	SYM
ejpam-5737	401	91	1.5	1.5	NUM
ejpam-5737	401	92	,	,	PUNCT
ejpam-5737	401	93	ξ	ξ	X
ejpam-5737	401	94	=	=	SYM
ejpam-5737	401	95	0.5	0.5	NUM
ejpam-5737	401	96	i	i	NOUN
ejpam-5737	401	97	0.9120	0.9120	NUM
ejpam-5737	401	98	0.9460	0.9460	NUM
ejpam-5737	401	99	0.9360	0.9360	NUM
ejpam-5737	401	100	0.9460	0.9460	NUM
ejpam-5737	401	101	0.9113	0.9113	NUM
ejpam-5737	401	102	0.9340	0.9340	NUM
ejpam-5737	401	103	80	80	NUM
ejpam-5737	401	104	50	50	NUM
ejpam-5737	401	105	ii	ii	NOUN
ejpam-5737	401	106	0.9248	0.9248	NUM
ejpam-5737	401	107	0.9360	0.9360	NUM
ejpam-5737	401	108	1.1031	1.1031	NUM
ejpam-5737	401	109	0.9340	0.9340	NUM
ejpam-5737	401	110	0.9124	0.9124	NUM
ejpam-5737	401	111	0.9420	0.9420	NUM
ejpam-5737	401	112	iii	iii	NUM
ejpam-5737	401	113	0.9224	0.9224	NUM
ejpam-5737	401	114	0.9140	0.9140	NUM
ejpam-5737	401	115	0.9138	0.9138	NUM
ejpam-5737	401	116	0.9160	0.9160	NUM
ejpam-5737	401	117	0.9011	0.9011	NUM
ejpam-5737	401	118	0.9420	0.9420	NUM
ejpam-5737	401	119	i	i	PRON
ejpam-5737	401	120	1.1010	1.1010	NUM
ejpam-5737	401	121	0.9480	0.9480	NUM
ejpam-5737	401	122	0.9634	0.9634	NUM
ejpam-5737	401	123	0.9540	0.9540	NUM
ejpam-5737	401	124	0.9541	0.9541	NUM
ejpam-5737	401	125	0.9420	0.9420	NUM
ejpam-5737	401	126	80	80	NUM
ejpam-5737	401	127	60	60	NUM
ejpam-5737	401	128	ii	ii	NUM
ejpam-5737	401	129	1.1210	1.1210	NUM
ejpam-5737	401	130	0.9460	0.9460	NUM
ejpam-5737	401	131	1.0199	1.0199	NUM
ejpam-5737	401	132	0.9340	0.9340	NUM
ejpam-5737	401	133	0.9124	0.9124	NUM
ejpam-5737	401	134	0.9520	0.9520	NUM
ejpam-5737	401	135	iii	iii	NUM
ejpam-5737	401	136	1.1022	1.1022	NUM
ejpam-5737	401	137	0.9320	0.9320	NUM
ejpam-5737	401	138	0.9110	0.9110	NUM
ejpam-5737	401	139	0.9460	0.9460	NUM
ejpam-5737	401	140	0.9007	0.9007	NUM
ejpam-5737	401	141	0.9500	0.9500	NUM
ejpam-5737	401	142	i	i	PRON
ejpam-5737	401	143	0.9245	0.9245	NUM
ejpam-5737	402	1	0.9560	0.9560	NUM
ejpam-5737	402	2	0.9324	0.9324	NUM
ejpam-5737	402	3	0.9640	0.9640	NUM
ejpam-5737	402	4	0.9421	0.9421	NUM
ejpam-5737	402	5	0.9620	0.9620	NUM
ejpam-5737	402	6	100	100	NUM
ejpam-5737	402	7	60	60	NUM
ejpam-5737	402	8	ii	ii	NUM
ejpam-5737	402	9	1.0143	1.0143	NUM
ejpam-5737	402	10	0.9460	0.9460	NUM
ejpam-5737	402	11	1.0245	1.0245	NUM
ejpam-5737	402	12	0.9420	0.9420	NUM
ejpam-5737	402	13	0.9360	0.9360	NUM
ejpam-5737	402	14	0.9540	0.9540	NUM
ejpam-5737	402	15	iii	iii	NUM
ejpam-5737	402	16	0.9510	0.9510	NUM
ejpam-5737	402	17	0.9460	0.9460	NUM
ejpam-5737	402	18	0.9108	0.9108	NUM
ejpam-5737	402	19	0.9460	0.9460	NUM
ejpam-5737	402	20	0.9016	0.9016	NUM
ejpam-5737	402	21	0.9520	0.9520	NUM
ejpam-5737	402	22	i	i	PRON
ejpam-5737	402	23	0.9123	0.9123	NUM
ejpam-5737	402	24	0.9340	0.9340	NUM
ejpam-5737	402	25	0.9110	0.9110	NUM
ejpam-5737	402	26	0.9640	0.9640	NUM
ejpam-5737	402	27	0.9124	0.9124	NUM
ejpam-5737	402	28	0.9520	0.9520	NUM
ejpam-5737	402	29	100	100	NUM
ejpam-5737	402	30	80	80	NUM
ejpam-5737	402	31	ii	ii	NUM
ejpam-5737	402	32	0.9112	0.9112	NUM
ejpam-5737	402	33	0.9260	0.9260	NUM
ejpam-5737	402	34	0.9124	0.9124	NUM
ejpam-5737	402	35	0.9340	0.9340	NUM
ejpam-5737	402	36	0.9630	0.9630	NUM
ejpam-5737	402	37	0.9120	0.9120	NUM
ejpam-5737	402	38	iii	iii	NUM
ejpam-5737	402	39	0.9210	0.9210	NOUN
ejpam-5737	402	40	0.9117	0.9117	NUM
ejpam-5737	403	1	0.9560	0.9560	NUM
ejpam-5737	403	2	0.9340	0.9340	NUM
ejpam-5737	403	3	0.8991	0.8991	NUM
ejpam-5737	403	4	0.9640	0.9640	NUM
ejpam-5737	403	5	3.2	3.2	NUM
ejpam-5737	403	6	.	.	PUNCT
ejpam-5737	404	1	real	real	ADJ
ejpam-5737	404	2	-	-	PUNCT
ejpam-5737	404	3	life	life	NOUN
ejpam-5737	404	4	data	datum	NOUN
ejpam-5737	404	5	analysis	analysis	NOUN
ejpam-5737	404	6	the	the	DET
ejpam-5737	404	7	preceding	precede	VERB
ejpam-5737	404	8	theoretical	theoretical	ADJ
ejpam-5737	404	9	results	result	NOUN
ejpam-5737	404	10	are	be	AUX
ejpam-5737	404	11	shown	show	VERB
ejpam-5737	404	12	in	in	ADP
ejpam-5737	404	13	this	this	DET
ejpam-5737	404	14	subsection	subsection	NOUN
ejpam-5737	404	15	using	use	VERB
ejpam-5737	404	16	real	real	ADJ
ejpam-5737	404	17	-	-	PUNCT
ejpam-5737	404	18	life	life	NOUN
ejpam-5737	404	19	data	datum	NOUN
ejpam-5737	404	20	.	.	PUNCT
ejpam-5737	405	1	according	accord	VERB
ejpam-5737	405	2	to	to	ADP
ejpam-5737	405	3	nelson	nelson	PROPN
ejpam-5737	405	4	[	[	X
ejpam-5737	405	5	46	46	NUM
ejpam-5737	405	6	]	]	PUNCT
ejpam-5737	405	7	,	,	PUNCT
ejpam-5737	405	8	the	the	DET
ejpam-5737	405	9	data	datum	NOUN
ejpam-5737	405	10	show	show	VERB
ejpam-5737	405	11	how	how	SCONJ
ejpam-5737	405	12	long	long	ADV
ejpam-5737	405	13	it	it	PRON
ejpam-5737	405	14	requires	require	VERB
ejpam-5737	405	15	a	a	DET
ejpam-5737	405	16	fluid	fluid	NOUN
ejpam-5737	405	17	to	to	PART
ejpam-5737	405	18	act	act	VERB
ejpam-5737	405	19	as	as	ADP
ejpam-5737	405	20	an	an	DET
ejpam-5737	405	21	insulator	insulator	NOUN
ejpam-5737	405	22	between	between	ADP
ejpam-5737	405	23	electrodes	electrode	NOUN
ejpam-5737	405	24	to	to	PART
ejpam-5737	405	25	degrade	degrade	VERB
ejpam-5737	405	26	at	at	ADP
ejpam-5737	405	27	a	a	DET
ejpam-5737	405	28	voltage	voltage	NOUN
ejpam-5737	405	29	of	of	ADP
ejpam-5737	405	30	34	34	NUM
ejpam-5737	405	31	k.	k.	NOUN
ejpam-5737	405	32	this	this	DET
ejpam-5737	405	33	data	data	NOUN
ejpam-5737	405	34	is	be	AUX
ejpam-5737	405	35	19	19	NUM
ejpam-5737	405	36	is	be	AUX
ejpam-5737	405	37	shown	show	VERB
ejpam-5737	405	38	as	as	ADP
ejpam-5737	405	39	:	:	PUNCT
ejpam-5737	405	40	{	{	PUNCT
ejpam-5737	405	41	0.19	0.19	NUM
ejpam-5737	405	42	,	,	PUNCT
ejpam-5737	405	43	0.78	0.78	NUM
ejpam-5737	405	44	,	,	PUNCT
ejpam-5737	405	45	0.96	0.96	NUM
ejpam-5737	405	46	,	,	PUNCT
ejpam-5737	405	47	1.31	1.31	NUM
ejpam-5737	405	48	,	,	PUNCT
ejpam-5737	405	49	2.78	2.78	NUM
ejpam-5737	405	50	,	,	PUNCT
ejpam-5737	405	51	3.16	3.16	NUM
ejpam-5737	405	52	,	,	PUNCT
ejpam-5737	405	53	4.15	4.15	NUM
ejpam-5737	405	54	,	,	PUNCT
ejpam-5737	405	55	4.67	4.67	NUM
ejpam-5737	405	56	,	,	PUNCT
ejpam-5737	405	57	4.85	4.85	NUM
ejpam-5737	405	58	,	,	PUNCT
ejpam-5737	405	59	6.5	6.5	NUM
ejpam-5737	405	60	,	,	PUNCT
ejpam-5737	405	61	7.35	7.35	NUM
ejpam-5737	405	62	,	,	PUNCT
ejpam-5737	405	63	8.01	8.01	NUM
ejpam-5737	405	64	,	,	PUNCT
ejpam-5737	405	65	8.27	8.27	NUM
ejpam-5737	405	66	,	,	PUNCT
ejpam-5737	405	67	12.06	12.06	NUM
ejpam-5737	405	68	,	,	PUNCT
ejpam-5737	405	69	31.75	31.75	NUM
ejpam-5737	405	70	,	,	PUNCT
ejpam-5737	405	71	32.52	32.52	NUM
ejpam-5737	405	72	,	,	PUNCT
ejpam-5737	405	73	33.91	33.91	NUM
ejpam-5737	405	74	,	,	PUNCT
ejpam-5737	405	75	36.71	36.71	NUM
ejpam-5737	405	76	,	,	PUNCT
ejpam-5737	405	77	72.89	72.89	NUM
ejpam-5737	405	78	}	}	PUNCT
ejpam-5737	405	79	,	,	PUNCT
ejpam-5737	405	80	we	we	PRON
ejpam-5737	405	81	confirmed	confirm	VERB
ejpam-5737	405	82	that	that	SCONJ
ejpam-5737	405	83	modeling	model	VERB
ejpam-5737	405	84	these	these	DET
ejpam-5737	405	85	data	datum	NOUN
ejpam-5737	405	86	with	with	ADP
ejpam-5737	405	87	the	the	DET
ejpam-5737	405	88	lo	lo	PROPN
ejpam-5737	405	89	distribution	distribution	NOUN
ejpam-5737	405	90	is	be	AUX
ejpam-5737	405	91	feasible	feasible	ADJ
ejpam-5737	405	92	,	,	PUNCT
ejpam-5737	405	93	p	p	NOUN
ejpam-5737	405	94	-	-	PUNCT
ejpam-5737	405	95	values	value	NOUN
ejpam-5737	405	96	and	and	CCONJ
ejpam-5737	405	97	the	the	DET
ejpam-5737	405	98	kolmogorov	kolmogorov	ADJ
ejpam-5737	405	99	-	-	PUNCT
ejpam-5737	405	100	smirnov	smirnov	NOUN
ejpam-5737	405	101	(	(	PUNCT
ejpam-5737	405	102	k	k	NOUN
ejpam-5737	405	103	-	-	PUNCT
ejpam-5737	405	104	s	s	NOUN
ejpam-5737	405	105	)	)	PUNCT
ejpam-5737	405	106	test	test	NOUN
ejpam-5737	405	107	are	be	AUX
ejpam-5737	405	108	employed	employ	VERB
ejpam-5737	405	109	to	to	PART
ejpam-5737	405	110	provide	provide	VERB
ejpam-5737	405	111	the	the	DET
ejpam-5737	405	112	empirical	empirical	ADJ
ejpam-5737	405	113	survival	survival	NOUN
ejpam-5737	405	114	functions	function	NOUN
ejpam-5737	405	115	as	as	ADV
ejpam-5737	405	116	well	well	ADV
ejpam-5737	405	117	as	as	ADP
ejpam-5737	405	118	the	the	DET
ejpam-5737	405	119	fitted	fit	VERB
ejpam-5737	405	120	ones	one	NOUN
ejpam-5737	405	121	,	,	PUNCT
ejpam-5737	405	122	as	as	SCONJ
ejpam-5737	405	123	shown	show	VERB
ejpam-5737	405	124	in	in	ADP
ejpam-5737	405	125	figure	figure	NOUN
ejpam-5737	405	126	1	1	NUM
ejpam-5737	405	127	.	.	PUNCT
ejpam-5737	406	1	for	for	ADP
ejpam-5737	406	2	the	the	DET
ejpam-5737	406	3	data	datum	NOUN
ejpam-5737	406	4	,	,	PUNCT
ejpam-5737	406	5	the	the	DET
ejpam-5737	406	6	k	k	NOUN
ejpam-5737	406	7	-	-	PUNCT
ejpam-5737	406	8	s	s	X
ejpam-5737	406	9	is	be	AUX
ejpam-5737	406	10	0.1479	0.1479	NUM
ejpam-5737	406	11	and	and	CCONJ
ejpam-5737	406	12	p	p	NOUN
ejpam-5737	406	13	-	-	PUNCT
ejpam-5737	406	14	value	value	NOUN
ejpam-5737	406	15	is	be	AUX
ejpam-5737	406	16	0.8002	0.8002	NUM
ejpam-5737	406	17	.	.	PUNCT
ejpam-5737	407	1	we	we	PRON
ejpam-5737	407	2	took	take	VERB
ejpam-5737	407	3	r	r	NOUN
ejpam-5737	407	4	=	=	SYM
ejpam-5737	407	5	12	12	NUM
ejpam-5737	407	6	,	,	PUNCT
ejpam-5737	407	7	τ	τ	PROPN
ejpam-5737	407	8	=	=	SYM
ejpam-5737	407	9	33.91	33.91	NUM
ejpam-5737	407	10	,	,	PUNCT
ejpam-5737	407	11	r	r	NOUN
ejpam-5737	407	12	=	=	PUNCT
ejpam-5737	407	13	{	{	PUNCT
ejpam-5737	407	14	17	17	NUM
ejpam-5737	407	15	,	,	PUNCT
ejpam-5737	407	16	05	05	NUM
ejpam-5737	407	17	}	}	PUNCT
ejpam-5737	407	18	,	,	PUNCT
ejpam-5737	407	19	based	base	VERB
ejpam-5737	407	20	on	on	ADP
ejpam-5737	407	21	r	r	NOUN
ejpam-5737	407	22	,	,	PUNCT
ejpam-5737	407	23	the	the	DET
ejpam-5737	407	24	adaptive	adaptive	ADJ
ejpam-5737	407	25	type	type	NOUN
ejpam-5737	407	26	-	-	PUNCT
ejpam-5737	407	27	ii	ii	NOUN
ejpam-5737	407	28	progressive	progressive	ADJ
ejpam-5737	407	29	censored	censored	ADJ
ejpam-5737	407	30	sample	sample	NOUN
ejpam-5737	407	31	is	be	AUX
ejpam-5737	407	32	{	{	PUNCT
ejpam-5737	407	33	0.19	0.19	NUM
ejpam-5737	407	34	,	,	PUNCT
ejpam-5737	407	35	0.78	0.78	NUM
ejpam-5737	407	36	,	,	PUNCT
ejpam-5737	407	37	1.31	1.31	NUM
ejpam-5737	407	38	,	,	PUNCT
ejpam-5737	407	39	3.16	3.16	NUM
ejpam-5737	407	40	,	,	PUNCT
ejpam-5737	407	41	4.15	4.15	NUM
ejpam-5737	407	42	,	,	PUNCT
ejpam-5737	407	43	4.67	4.67	NUM
ejpam-5737	407	44	,	,	PUNCT
ejpam-5737	407	45	4.85	4.85	NUM
ejpam-5737	407	46	,	,	PUNCT
ejpam-5737	407	47	6.5	6.5	NUM
ejpam-5737	407	48	,	,	PUNCT
ejpam-5737	407	49	8.01	8.01	NUM
ejpam-5737	407	50	,	,	PUNCT
ejpam-5737	407	51	8.27	8.27	NUM
ejpam-5737	407	52	,	,	PUNCT
ejpam-5737	407	53	33.91	33.91	NUM
ejpam-5737	407	54	,	,	PUNCT
ejpam-5737	407	55	36.71	36.71	NUM
ejpam-5737	407	56	}	}	PUNCT
ejpam-5737	407	57	,	,	PUNCT
ejpam-5737	407	58	based	base	VERB
ejpam-5737	407	59	on	on	ADP
ejpam-5737	407	60	this	this	DET
ejpam-5737	407	61	data	datum	NOUN
ejpam-5737	407	62	,	,	PUNCT
ejpam-5737	407	63	the	the	DET
ejpam-5737	407	64	mles	mle	NOUN
ejpam-5737	407	65	,	,	PUNCT
ejpam-5737	407	66	the	the	DET
ejpam-5737	407	67	bayes	bayes	PROPN
ejpam-5737	407	68	estimates	estimate	VERB
ejpam-5737	407	69	and	and	CCONJ
ejpam-5737	407	70	s.	s.	PROPN
ejpam-5737	407	71	m.	m.	PROPN
ejpam-5737	407	72	ahmed	ahmed	PROPN
ejpam-5737	407	73	,	,	PUNCT
ejpam-5737	407	74	g.	g.	PROPN
ejpam-5737	407	75	m.	m.	PROPN
ejpam-5737	407	76	ismail	ismail	PROPN
ejpam-5737	407	77	/	/	SYM
ejpam-5737	407	78	eur	eur	PROPN
ejpam-5737	407	79	.	.	PUNCT
ejpam-5737	408	1	j.	j.	PROPN
ejpam-5737	408	2	pure	pure	PROPN
ejpam-5737	408	3	appl	appl	PROPN
ejpam-5737	408	4	.	.	PROPN
ejpam-5737	408	5	math	math	PROPN
ejpam-5737	408	6	,	,	PUNCT
ejpam-5737	408	7	18	18	NUM
ejpam-5737	408	8	(	(	PUNCT
ejpam-5737	408	9	1	1	NUM
ejpam-5737	408	10	)	)	PUNCT
ejpam-5737	408	11	(	(	PUNCT
ejpam-5737	408	12	2025	2025	NUM
ejpam-5737	408	13	)	)	PUNCT
ejpam-5737	408	14	,	,	PUNCT
ejpam-5737	408	15	5737	5737	NUM
ejpam-5737	408	16	18	18	NUM
ejpam-5737	408	17	of	of	ADP
ejpam-5737	408	18	22	22	NUM
ejpam-5737	408	19	the	the	DET
ejpam-5737	408	20	95	95	NUM
ejpam-5737	408	21	%	%	NOUN
ejpam-5737	408	22	confidence	confidence	NOUN
ejpam-5737	408	23	intervals	interval	NOUN
ejpam-5737	408	24	of	of	ADP
ejpam-5737	408	25	model	model	NOUN
ejpam-5737	408	26	parameters	parameter	NOUN
ejpam-5737	408	27	and	and	CCONJ
ejpam-5737	408	28	h(f	h(f	NOUN
ejpam-5737	408	29	)	)	PUNCT
ejpam-5737	408	30	obtained	obtain	VERB
ejpam-5737	408	31	in	in	ADP
ejpam-5737	408	32	table	table	NOUN
ejpam-5737	408	33	(	(	PUNCT
ejpam-5737	408	34	4	4	NUM
ejpam-5737	408	35	)	)	PUNCT
ejpam-5737	408	36	.	.	PUNCT
ejpam-5737	409	1	using	use	VERB
ejpam-5737	409	2	the	the	DET
ejpam-5737	409	3	first	first	ADJ
ejpam-5737	409	4	2000	2000	NUM
ejpam-5737	409	5	values	value	NOUN
ejpam-5737	409	6	as	as	ADP
ejpam-5737	409	7	the	the	DET
ejpam-5737	409	8	burn	burn	NOUN
ejpam-5737	409	9	-	-	PUNCT
ejpam-5737	409	10	in	in	ADP
ejpam-5737	409	11	,	,	PUNCT
ejpam-5737	409	12	in	in	ADP
ejpam-5737	409	13	the	the	DET
ejpam-5737	409	14	bayes	bayes	NOUN
ejpam-5737	409	15	approach	approach	NOUN
ejpam-5737	409	16	for	for	ADP
ejpam-5737	409	17	the	the	DET
ejpam-5737	409	18	mcmc	mcmc	PROPN
ejpam-5737	409	19	technique	technique	NOUN
ejpam-5737	409	20	,	,	PUNCT
ejpam-5737	409	21	we	we	PRON
ejpam-5737	409	22	execute	execute	VERB
ejpam-5737	409	23	the	the	DET
ejpam-5737	409	24	chan	chan	PROPN
ejpam-5737	409	25	22000	22000	NUM
ejpam-5737	409	26	.	.	PUNCT
ejpam-5737	410	1	by	by	ADP
ejpam-5737	410	2	depicting	depict	VERB
ejpam-5737	410	3	the	the	DET
ejpam-5737	410	4	generation	generation	NOUN
ejpam-5737	410	5	outcomes	outcome	NOUN
ejpam-5737	410	6	of	of	ADP
ejpam-5737	410	7	the	the	DET
ejpam-5737	410	8	entire	entire	ADJ
ejpam-5737	410	9	conditional	conditional	ADJ
ejpam-5737	410	10	distribution	distribution	NOUN
ejpam-5737	410	11	as	as	ADP
ejpam-5737	410	12	the	the	DET
ejpam-5737	410	13	generation	generation	NOUN
ejpam-5737	410	14	from	from	ADP
ejpam-5737	410	15	the	the	DET
ejpam-5737	410	16	posterior	posterior	ADJ
ejpam-5737	410	17	distribution	distribution	NOUN
ejpam-5737	410	18	and	and	CCONJ
ejpam-5737	410	19	the	the	DET
ejpam-5737	410	20	bayesian	bayesian	NOUN
ejpam-5737	410	21	approach	approach	NOUN
ejpam-5737	410	22	’s	’s	PART
ejpam-5737	410	23	convergence	convergence	NOUN
ejpam-5737	410	24	under	under	ADP
ejpam-5737	410	25	mcmc	mcmc	PROPN
ejpam-5737	410	26	techniques	technique	NOUN
ejpam-5737	410	27	,	,	PUNCT
ejpam-5737	410	28	figure	figure	NOUN
ejpam-5737	410	29	2	2	NUM
ejpam-5737	410	30	and	and	CCONJ
ejpam-5737	410	31	figure	figure	VERB
ejpam-5737	410	32	3	3	NUM
ejpam-5737	410	33	demonstrates	demonstrate	VERB
ejpam-5737	410	34	the	the	DET
ejpam-5737	410	35	quality	quality	NOUN
ejpam-5737	410	36	of	of	ADP
ejpam-5737	410	37	posterior	posterior	ADJ
ejpam-5737	410	38	generation	generation	NOUN
ejpam-5737	410	39	.	.	PUNCT
ejpam-5737	411	1	table	table	NOUN
ejpam-5737	411	2	5	5	NUM
ejpam-5737	411	3	:	:	PUNCT
ejpam-5737	411	4	mles	mle	NOUN
ejpam-5737	411	5	,	,	PUNCT
ejpam-5737	411	6	bootstrap	bootstrap	NOUN
ejpam-5737	411	7	,	,	PUNCT
ejpam-5737	411	8	bayes	bayes	PROPN
ejpam-5737	411	9	estimates	estimate	VERB
ejpam-5737	411	10	under	under	ADP
ejpam-5737	411	11	se	se	ADV
ejpam-5737	411	12	and	and	CCONJ
ejpam-5737	411	13	linex	linex	ADV
ejpam-5737	411	14	loss	loss	NOUN
ejpam-5737	411	15	function	function	NOUN
ejpam-5737	411	16	and	and	CCONJ
ejpam-5737	411	17	95	95	NUM
ejpam-5737	411	18	%	%	NOUN
ejpam-5737	411	19	interval	interval	NOUN
ejpam-5737	411	20	estimate	estimate	NOUN
ejpam-5737	411	21	of	of	ADP
ejpam-5737	411	22	the	the	DET
ejpam-5737	411	23	parameters	parameter	NOUN
ejpam-5737	411	24	β	β	X
ejpam-5737	411	25	ξ	ξ	X
ejpam-5737	411	26	h(f	h(f	PROPN
ejpam-5737	411	27	)	)	PUNCT
ejpam-5737	411	28	(	(	PUNCT
ejpam-5737	411	29	.)mle	.)mle	PUNCT
ejpam-5737	411	30	1.03095	1.03095	NUM
ejpam-5737	411	31	4.44344	4.44344	NUM
ejpam-5737	411	32	1.86196	1.86196	NUM
ejpam-5737	411	33	aci	aci	NOUN
ejpam-5737	411	34	(	(	PUNCT
ejpam-5737	411	35	0.2453	0.2453	NUM
ejpam-5737	411	36	,	,	PUNCT
ejpam-5737	411	37	2.1024	2.1024	NUM
ejpam-5737	411	38	)	)	PUNCT
ejpam-5737	411	39	(	(	PUNCT
ejpam-5737	411	40	2.3014	2.3014	NUM
ejpam-5737	411	41	,	,	PUNCT
ejpam-5737	411	42	6.1032	6.1032	NUM
ejpam-5737	411	43	)	)	PUNCT
ejpam-5737	411	44	(	(	PUNCT
ejpam-5737	411	45	0.78336	0.78336	NUM
ejpam-5737	411	46	,	,	PUNCT
ejpam-5737	411	47	3.5073	3.5073	NUM
ejpam-5737	411	48	)	)	PUNCT
ejpam-5737	411	49	(	(	PUNCT
ejpam-5737	411	50	.)boot	.)boot	PROPN
ejpam-5737	411	51	1.02051	1.02051	NUM
ejpam-5737	411	52	4.52180	4.52180	NUM
ejpam-5737	411	53	1.9124	1.9124	NUM
ejpam-5737	411	54	boot	boot	NOUN
ejpam-5737	411	55	ci	ci	NOUN
ejpam-5737	411	56	(	(	PUNCT
ejpam-5737	411	57	3.2563,19.090	3.2563,19.090	NUM
ejpam-5737	411	58	)	)	PUNCT
ejpam-5737	411	59	(	(	PUNCT
ejpam-5737	411	60	2.3171	2.3171	NUM
ejpam-5737	411	61	,	,	PUNCT
ejpam-5737	411	62	14.8848	14.8848	NUM
ejpam-5737	411	63	)	)	PUNCT
ejpam-5737	411	64	(	(	PUNCT
ejpam-5737	411	65	0.82458	0.82458	NUM
ejpam-5737	411	66	,	,	PUNCT
ejpam-5737	411	67	3.4087	3.4087	NUM
ejpam-5737	411	68	)	)	PUNCT
ejpam-5737	411	69	(	(	PUNCT
ejpam-5737	411	70	.	.	PUNCT
ejpam-5737	411	71	)	)	PUNCT
ejpam-5737	412	1	bayes	bayes	PROPN
ejpam-5737	412	2	se	se	X
ejpam-5737	412	3	0.999143	0.999143	VERB
ejpam-5737	412	4	4.60977	4.60977	NUM
ejpam-5737	412	5	2.06395	2.06395	NUM
ejpam-5737	412	6	bayes	baye	NOUN
ejpam-5737	412	7	credible	credible	ADJ
ejpam-5737	412	8	interval	interval	NOUN
ejpam-5737	412	9	(	(	PUNCT
ejpam-5737	412	10	0.0124	0.0124	NUM
ejpam-5737	412	11	,	,	PUNCT
ejpam-5737	412	12	2.0159	2.0159	NUM
ejpam-5737	412	13	)	)	PUNCT
ejpam-5737	412	14	(	(	PUNCT
ejpam-5737	412	15	2.1042	2.1042	NUM
ejpam-5737	412	16	,	,	PUNCT
ejpam-5737	412	17	7.0989	7.0989	NUM
ejpam-5737	412	18	)	)	PUNCT
ejpam-5737	412	19	(	(	PUNCT
ejpam-5737	412	20	1.36226	1.36226	NUM
ejpam-5737	412	21	,	,	PUNCT
ejpam-5737	412	22	3.07794	3.07794	NUM
ejpam-5737	412	23	)	)	PUNCT
ejpam-5737	412	24	(	(	PUNCT
ejpam-5737	412	25	.	.	PUNCT
ejpam-5737	412	26	)	)	PUNCT
ejpam-5737	413	1	bayes	bayes	PROPN
ejpam-5737	413	2	linex	linex	ADV
ejpam-5737	413	3	at	at	ADP
ejpam-5737	413	4	c	c	PROPN
ejpam-5737	413	5	=	=	NOUN
ejpam-5737	413	6	0.05	0.05	NUM
ejpam-5737	413	7	0.9926	0.9926	NUM
ejpam-5737	413	8	4.3179	4.3179	NUM
ejpam-5737	413	9	2.0594	2.0594	NUM
ejpam-5737	413	10	(	(	PUNCT
ejpam-5737	413	11	.	.	PUNCT
ejpam-5737	413	12	)	)	PUNCT
ejpam-5737	414	1	bayes	bayes	PROPN
ejpam-5737	414	2	linex	linex	ADV
ejpam-5737	414	3	at	at	ADP
ejpam-5737	414	4	c	c	NOUN
ejpam-5737	414	5	=	=	PUNCT
ejpam-5737	414	6	−0.05	−0.05	ADP
ejpam-5737	414	7	1.0059	1.0059	NUM
ejpam-5737	414	8	4.9495	4.9495	NUM
ejpam-5737	414	9	2.0686	2.0686	NUM
ejpam-5737	414	10	figure	figure	NOUN
ejpam-5737	414	11	1	1	NUM
ejpam-5737	414	12	:	:	PUNCT
ejpam-5737	414	13	plots	plot	NOUN
ejpam-5737	414	14	of	of	ADP
ejpam-5737	414	15	the	the	DET
ejpam-5737	414	16	fitted	fit	VERB
ejpam-5737	414	17	cdf	cdf	PROPN
ejpam-5737	414	18	function	function	NOUN
ejpam-5737	414	19	of	of	ADP
ejpam-5737	414	20	data	datum	NOUN
ejpam-5737	414	21	and	and	CCONJ
ejpam-5737	414	22	empirical	empirical	ADJ
ejpam-5737	414	23	data	datum	NOUN
ejpam-5737	414	24	.	.	PUNCT
ejpam-5737	415	1	figure	figure	NOUN
ejpam-5737	415	2	2	2	NUM
ejpam-5737	415	3	:	:	PUNCT
ejpam-5737	415	4	mcmc	mcmc	NOUN
ejpam-5737	415	5	trace	trace	NOUN
ejpam-5737	415	6	plots	plot	NOUN
ejpam-5737	415	7	of	of	ADP
ejpam-5737	415	8	h(f	h(f	NOUN
ejpam-5737	415	9	)	)	PUNCT
ejpam-5737	415	10	from	from	ADP
ejpam-5737	415	11	data	data	PROPN
ejpam-5737	415	12	.	.	PUNCT
ejpam-5737	416	1	s.	s.	PROPN
ejpam-5737	416	2	m.	m.	PROPN
ejpam-5737	416	3	ahmed	ahmed	PROPN
ejpam-5737	416	4	,	,	PUNCT
ejpam-5737	416	5	g.	g.	PROPN
ejpam-5737	416	6	m.	m.	PROPN
ejpam-5737	416	7	ismail	ismail	PROPN
ejpam-5737	416	8	/	/	SYM
ejpam-5737	416	9	eur	eur	PROPN
ejpam-5737	416	10	.	.	PUNCT
ejpam-5737	417	1	j.	j.	PROPN
ejpam-5737	417	2	pure	pure	PROPN
ejpam-5737	417	3	appl	appl	PROPN
ejpam-5737	417	4	.	.	PROPN
ejpam-5737	417	5	math	math	PROPN
ejpam-5737	417	6	,	,	PUNCT
ejpam-5737	417	7	18	18	NUM
ejpam-5737	417	8	(	(	PUNCT
ejpam-5737	417	9	1	1	NUM
ejpam-5737	417	10	)	)	PUNCT
ejpam-5737	417	11	(	(	PUNCT
ejpam-5737	417	12	2025	2025	NUM
ejpam-5737	417	13	)	)	PUNCT
ejpam-5737	417	14	,	,	PUNCT
ejpam-5737	417	15	5737	5737	NUM
ejpam-5737	417	16	19	19	NUM
ejpam-5737	417	17	of	of	ADP
ejpam-5737	417	18	22	22	NUM
ejpam-5737	417	19	figure	figure	NOUN
ejpam-5737	417	20	3	3	NUM
ejpam-5737	417	21	:	:	PUNCT
ejpam-5737	417	22	mcmc	mcmc	PROPN
ejpam-5737	417	23	histogram	histogram	NOUN
ejpam-5737	417	24	of	of	ADP
ejpam-5737	417	25	h(f	h(f	NOUN
ejpam-5737	417	26	)	)	PUNCT
ejpam-5737	417	27	from	from	ADP
ejpam-5737	417	28	data	datum	NOUN
ejpam-5737	417	29	.	.	PUNCT
ejpam-5737	418	1	4	4	X
ejpam-5737	418	2	.	.	X
ejpam-5737	418	3	conclusions	conclusion	NOUN
ejpam-5737	418	4	this	this	DET
ejpam-5737	418	5	paper	paper	NOUN
ejpam-5737	418	6	analyzes	analyze	VERB
ejpam-5737	418	7	the	the	DET
ejpam-5737	418	8	entropy	entropy	NOUN
ejpam-5737	418	9	of	of	ADP
ejpam-5737	418	10	the	the	DET
ejpam-5737	418	11	lo	lo	PROPN
ejpam-5737	418	12	distribution	distribution	NOUN
ejpam-5737	418	13	offers	offer	VERB
ejpam-5737	418	14	some	some	DET
ejpam-5737	418	15	statistical	statistical	ADJ
ejpam-5737	418	16	conclusions	conclusion	NOUN
ejpam-5737	418	17	and	and	CCONJ
ejpam-5737	418	18	uses	use	VERB
ejpam-5737	418	19	adaptive	adaptive	ADJ
ejpam-5737	418	20	progressively	progressively	ADV
ejpam-5737	418	21	type	type	NOUN
ejpam-5737	418	22	-	-	PUNCT
ejpam-5737	418	23	ii	ii	NOUN
ejpam-5737	418	24	censoring	censoring	NOUN
ejpam-5737	418	25	.	.	PUNCT
ejpam-5737	419	1	the	the	DET
ejpam-5737	419	2	bayesian	bayesian	NOUN
ejpam-5737	419	3	approach	approach	NOUN
ejpam-5737	419	4	and	and	CCONJ
ejpam-5737	419	5	classical	classical	ADJ
ejpam-5737	419	6	frequency	frequency	NOUN
ejpam-5737	419	7	theory	theory	NOUN
ejpam-5737	419	8	served	serve	VERB
ejpam-5737	419	9	as	as	ADP
ejpam-5737	419	10	the	the	DET
ejpam-5737	419	11	foundation	foundation	NOUN
ejpam-5737	419	12	for	for	ADP
ejpam-5737	419	13	the	the	DET
ejpam-5737	419	14	development	development	NOUN
ejpam-5737	419	15	of	of	ADP
ejpam-5737	419	16	point	point	NOUN
ejpam-5737	419	17	and	and	CCONJ
ejpam-5737	419	18	interval	interval	NOUN
ejpam-5737	419	19	estimators	estimator	NOUN
ejpam-5737	419	20	.	.	PUNCT
ejpam-5737	420	1	we	we	PRON
ejpam-5737	420	2	have	have	AUX
ejpam-5737	420	3	looked	look	VERB
ejpam-5737	420	4	at	at	ADP
ejpam-5737	420	5	the	the	DET
ejpam-5737	420	6	approximate	approximate	ADJ
ejpam-5737	420	7	entropy	entropy	NOUN
ejpam-5737	420	8	mle	mle	PROPN
ejpam-5737	420	9	confidence	confidence	NOUN
ejpam-5737	420	10	intervals	interval	NOUN
ejpam-5737	420	11	and	and	CCONJ
ejpam-5737	420	12	the	the	DET
ejpam-5737	420	13	bootstrap	bootstrap	NOUN
ejpam-5737	420	14	entropy	entropy	NOUN
ejpam-5737	420	15	confidence	confidence	NOUN
ejpam-5737	420	16	intervals	interval	NOUN
ejpam-5737	420	17	using	use	VERB
ejpam-5737	420	18	the	the	DET
ejpam-5737	420	19	observed	observed	ADJ
ejpam-5737	420	20	fisher	fisher	PROPN
ejpam-5737	420	21	matrix	matrix	NOUN
ejpam-5737	420	22	.	.	PUNCT
ejpam-5737	421	1	next	next	ADV
ejpam-5737	421	2	,	,	PUNCT
ejpam-5737	421	3	we	we	PRON
ejpam-5737	421	4	proceed	proceed	VERB
ejpam-5737	421	5	on	on	ADP
ejpam-5737	421	6	to	to	ADP
ejpam-5737	421	7	the	the	DET
ejpam-5737	421	8	bayesian	bayesian	NOUN
ejpam-5737	421	9	approach	approach	NOUN
ejpam-5737	421	10	,	,	PUNCT
ejpam-5737	421	11	which	which	PRON
ejpam-5737	421	12	assumes	assume	VERB
ejpam-5737	421	13	independent	independent	ADJ
ejpam-5737	421	14	gamma	gamma	NOUN
ejpam-5737	421	15	priors	prior	NOUN
ejpam-5737	421	16	and	and	CCONJ
ejpam-5737	421	17	produces	produce	VERB
ejpam-5737	421	18	the	the	DET
ejpam-5737	421	19	se	se	PROPN
ejpam-5737	421	20	and	and	CCONJ
ejpam-5737	421	21	linex	linex	ADV
ejpam-5737	421	22	loss	loss	VERB
ejpam-5737	421	23	function	function	NOUN
ejpam-5737	421	24	-	-	PUNCT
ejpam-5737	421	25	based	base	VERB
ejpam-5737	421	26	bayes	bayes	PROPN
ejpam-5737	421	27	estimates	estimate	NOUN
ejpam-5737	421	28	of	of	ADP
ejpam-5737	421	29	entropy	entropy	PROPN
ejpam-5737	421	30	.	.	PUNCT
ejpam-5737	422	1	the	the	DET
ejpam-5737	422	2	posterior	posterior	ADJ
ejpam-5737	422	3	distributions	distribution	NOUN
ejpam-5737	422	4	of	of	ADP
ejpam-5737	422	5	some	some	DET
ejpam-5737	422	6	unknown	unknown	ADJ
ejpam-5737	422	7	parameters	parameter	NOUN
ejpam-5737	422	8	reveal	reveal	VERB
ejpam-5737	422	9	that	that	SCONJ
ejpam-5737	422	10	they	they	PRON
ejpam-5737	422	11	deviate	deviate	VERB
ejpam-5737	422	12	from	from	ADP
ejpam-5737	422	13	known	know	VERB
ejpam-5737	422	14	distributions	distribution	NOUN
ejpam-5737	422	15	.	.	PUNCT
ejpam-5737	423	1	to	to	PART
ejpam-5737	423	2	calculate	calculate	VERB
ejpam-5737	423	3	bayes	bayes	PROPN
ejpam-5737	423	4	estimates	estimate	NOUN
ejpam-5737	423	5	of	of	ADP
ejpam-5737	423	6	entropy	entropy	NOUN
ejpam-5737	423	7	with	with	ADP
ejpam-5737	423	8	related	related	ADJ
ejpam-5737	423	9	credible	credible	ADJ
ejpam-5737	423	10	intervals	interval	NOUN
ejpam-5737	423	11	,	,	PUNCT
ejpam-5737	423	12	we	we	PRON
ejpam-5737	423	13	use	use	VERB
ejpam-5737	423	14	m	m	ADJ
ejpam-5737	423	15	-	-	ADJ
ejpam-5737	423	16	h	h	NOUN
ejpam-5737	423	17	sampling	sampling	NOUN
ejpam-5737	423	18	as	as	ADP
ejpam-5737	423	19	a	a	DET
ejpam-5737	423	20	component	component	NOUN
ejpam-5737	423	21	of	of	ADP
ejpam-5737	423	22	the	the	DET
ejpam-5737	423	23	gibbs	gibbs	PROPN
ejpam-5737	423	24	sampling	sample	VERB
ejpam-5737	423	25	steps	step	NOUN
ejpam-5737	423	26	technique	technique	NOUN
ejpam-5737	423	27	.	.	PUNCT
ejpam-5737	424	1	in	in	ADP
ejpam-5737	424	2	a	a	DET
ejpam-5737	424	3	simulated	simulated	ADJ
ejpam-5737	424	4	study	study	NOUN
ejpam-5737	424	5	,	,	PUNCT
ejpam-5737	424	6	the	the	DET
ejpam-5737	424	7	effectiveness	effectiveness	NOUN
ejpam-5737	424	8	of	of	ADP
ejpam-5737	424	9	each	each	PRON
ejpam-5737	424	10	of	of	ADP
ejpam-5737	424	11	the	the	DET
ejpam-5737	424	12	previously	previously	ADV
ejpam-5737	424	13	listed	list	VERB
ejpam-5737	424	14	methodologies	methodology	NOUN
ejpam-5737	424	15	was	be	AUX
ejpam-5737	424	16	then	then	ADV
ejpam-5737	424	17	directly	directly	ADV
ejpam-5737	424	18	compared	compare	VERB
ejpam-5737	424	19	.	.	PUNCT
ejpam-5737	425	1	the	the	DET
ejpam-5737	425	2	simulation	simulation	NOUN
ejpam-5737	425	3	results	result	NOUN
ejpam-5737	425	4	lead	lead	VERB
ejpam-5737	425	5	us	we	PRON
ejpam-5737	425	6	to	to	ADP
ejpam-5737	425	7	the	the	DET
ejpam-5737	425	8	conclusion	conclusion	NOUN
ejpam-5737	425	9	that	that	SCONJ
ejpam-5737	425	10	when	when	SCONJ
ejpam-5737	425	11	adaptive	adaptive	ADJ
ejpam-5737	425	12	progressive	progressive	ADJ
ejpam-5737	425	13	type	type	NOUN
ejpam-5737	425	14	-	-	PUNCT
ejpam-5737	425	15	ii	ii	NOUN
ejpam-5737	425	16	is	be	AUX
ejpam-5737	425	17	excluded	exclude	VERB
ejpam-5737	425	18	from	from	ADP
ejpam-5737	425	19	independent	independent	ADJ
ejpam-5737	425	20	distributions	distribution	NOUN
ejpam-5737	425	21	of	of	ADP
ejpam-5737	425	22	lo	lo	PROPN
ejpam-5737	425	23	,	,	PUNCT
ejpam-5737	425	24	the	the	DET
ejpam-5737	425	25	bayes	bayes	NOUN
ejpam-5737	425	26	technique	technique	NOUN
ejpam-5737	425	27	can	can	AUX
ejpam-5737	425	28	be	be	AUX
ejpam-5737	425	29	used	use	VERB
ejpam-5737	425	30	to	to	PART
ejpam-5737	425	31	estimate	estimate	VERB
ejpam-5737	425	32	and	and	CCONJ
ejpam-5737	425	33	generate	generate	VERB
ejpam-5737	425	34	approximate	approximate	ADJ
ejpam-5737	425	35	confidence	confidence	NOUN
ejpam-5737	425	36	intervals	interval	NOUN
ejpam-5737	425	37	for	for	ADP
ejpam-5737	425	38	unknown	unknown	ADJ
ejpam-5737	425	39	parameters	parameter	NOUN
ejpam-5737	425	40	.	.	PUNCT
ejpam-5737	426	1	when	when	SCONJ
ejpam-5737	426	2	the	the	DET
ejpam-5737	426	3	lo	lo	PROPN
ejpam-5737	426	4	distribution	distribution	NOUN
ejpam-5737	426	5	was	be	AUX
ejpam-5737	426	6	used	use	VERB
ejpam-5737	426	7	on	on	ADP
ejpam-5737	426	8	real	real	ADJ
ejpam-5737	426	9	industrial	industrial	ADJ
ejpam-5737	426	10	data	datum	NOUN
ejpam-5737	426	11	,	,	PUNCT
ejpam-5737	426	12	it	it	PRON
ejpam-5737	426	13	was	be	AUX
ejpam-5737	426	14	discovered	discover	VERB
ejpam-5737	426	15	to	to	PART
ejpam-5737	426	16	be	be	AUX
ejpam-5737	426	17	able	able	ADJ
ejpam-5737	426	18	to	to	PART
ejpam-5737	426	19	properly	properly	ADV
ejpam-5737	426	20	depict	depict	VERB
ejpam-5737	426	21	current	current	ADJ
ejpam-5737	426	22	data	datum	NOUN
ejpam-5737	426	23	to	to	ADP
ejpam-5737	426	24	the	the	DET
ejpam-5737	426	25	point	point	NOUN
ejpam-5737	426	26	where	where	SCONJ
ejpam-5737	426	27	it	it	PRON
ejpam-5737	426	28	could	could	AUX
ejpam-5737	426	29	be	be	AUX
ejpam-5737	426	30	relied	rely	VERB
ejpam-5737	426	31	upon	upon	SCONJ
ejpam-5737	426	32	to	to	PART
ejpam-5737	426	33	analyze	analyze	VERB
ejpam-5737	426	34	comparable	comparable	ADJ
ejpam-5737	426	35	genuine	genuine	ADJ
ejpam-5737	426	36	data	datum	NOUN
ejpam-5737	426	37	in	in	ADP
ejpam-5737	426	38	those	those	DET
ejpam-5737	426	39	domains	domain	NOUN
ejpam-5737	426	40	.	.	PUNCT
ejpam-5737	427	1	this	this	DET
ejpam-5737	427	2	study	study	NOUN
ejpam-5737	427	3	opens	open	VERB
ejpam-5737	427	4	several	several	ADJ
ejpam-5737	427	5	significant	significant	ADJ
ejpam-5737	427	6	avenues	avenue	NOUN
ejpam-5737	427	7	for	for	ADP
ejpam-5737	427	8	future	future	ADJ
ejpam-5737	427	9	investigation	investigation	NOUN
ejpam-5737	427	10	.	.	PUNCT
ejpam-5737	428	1	areas	area	NOUN
ejpam-5737	428	2	of	of	ADP
ejpam-5737	428	3	particular	particular	ADJ
ejpam-5737	428	4	interest	interest	NOUN
ejpam-5737	428	5	include	include	VERB
ejpam-5737	428	6	the	the	DET
ejpam-5737	428	7	design	design	NOUN
ejpam-5737	428	8	of	of	ADP
ejpam-5737	428	9	optimal	optimal	ADJ
ejpam-5737	428	10	censoring	censor	VERB
ejpam-5737	428	11	schemes	scheme	NOUN
ejpam-5737	428	12	,	,	PUNCT
ejpam-5737	428	13	the	the	DET
ejpam-5737	428	14	statistical	statistical	ADJ
ejpam-5737	428	15	prediction	prediction	NOUN
ejpam-5737	428	16	of	of	ADP
ejpam-5737	428	17	outcomes	outcome	NOUN
ejpam-5737	428	18	under	under	ADP
ejpam-5737	428	19	adaptive	adaptive	ADJ
ejpam-5737	428	20	progressively	progressively	ADV
ejpam-5737	428	21	type	type	NOUN
ejpam-5737	428	22	-	-	PUNCT
ejpam-5737	428	23	ii	ii	NOUN
ejpam-5737	428	24	censoring	censoring	NOUN
ejpam-5737	428	25	,	,	PUNCT
ejpam-5737	428	26	and	and	CCONJ
ejpam-5737	428	27	the	the	DET
ejpam-5737	428	28	extension	extension	NOUN
ejpam-5737	428	29	of	of	ADP
ejpam-5737	428	30	inference	inference	NOUN
ejpam-5737	428	31	methods	method	NOUN
ejpam-5737	428	32	to	to	PART
ejpam-5737	428	33	handle	handle	VERB
ejpam-5737	428	34	more	more	ADJ
ejpam-5737	428	35	complex	complex	ADJ
ejpam-5737	428	36	failure	failure	NOUN
ejpam-5737	428	37	models	model	NOUN
ejpam-5737	428	38	.	.	PUNCT
ejpam-5737	429	1	applying	apply	VERB
ejpam-5737	429	2	data	datum	NOUN
ejpam-5737	429	3	mining	mining	NOUN
ejpam-5737	429	4	methodologies	methodology	NOUN
ejpam-5737	429	5	to	to	ADP
ejpam-5737	429	6	these	these	DET
ejpam-5737	429	7	data	datum	NOUN
ejpam-5737	429	8	may	may	AUX
ejpam-5737	429	9	also	also	ADV
ejpam-5737	429	10	prove	prove	VERB
ejpam-5737	429	11	insightful	insightful	ADJ
ejpam-5737	429	12	,	,	PUNCT
ejpam-5737	429	13	allowing	allow	VERB
ejpam-5737	429	14	experts	expert	NOUN
ejpam-5737	429	15	to	to	PART
ejpam-5737	429	16	identify	identify	VERB
ejpam-5737	429	17	differential	differential	ADJ
ejpam-5737	429	18	patient	patient	ADJ
ejpam-5737	429	19	survival	survival	NOUN
ejpam-5737	429	20	patterns	pattern	NOUN
ejpam-5737	429	21	and	and	CCONJ
ejpam-5737	429	22	calculate	calculate	NOUN
ejpam-5737	429	23	confidence	confidence	NOUN
ejpam-5737	429	24	intervals	interval	NOUN
ejpam-5737	429	25	for	for	ADP
ejpam-5737	429	26	survival	survival	NOUN
ejpam-5737	429	27	.	.	PUNCT
ejpam-5737	430	1	these	these	DET
ejpam-5737	430	2	areas	area	NOUN
ejpam-5737	430	3	warrant	warrant	VERB
ejpam-5737	430	4	further	further	ADJ
ejpam-5737	430	5	exploration	exploration	NOUN
ejpam-5737	430	6	.	.	PUNCT
ejpam-5737	431	1	acknowledgements	acknowledgement	NOUN
ejpam-5737	431	2	the	the	DET
ejpam-5737	431	3	researchers	researcher	NOUN
ejpam-5737	431	4	wish	wish	VERB
ejpam-5737	431	5	to	to	PART
ejpam-5737	431	6	extend	extend	VERB
ejpam-5737	431	7	their	their	PRON
ejpam-5737	431	8	sincere	sincere	ADJ
ejpam-5737	431	9	gratitude	gratitude	NOUN
ejpam-5737	431	10	to	to	ADP
ejpam-5737	431	11	the	the	DET
ejpam-5737	431	12	deanship	deanship	NOUN
ejpam-5737	431	13	of	of	ADP
ejpam-5737	431	14	scientific	scientific	ADJ
ejpam-5737	431	15	research	research	NOUN
ejpam-5737	431	16	at	at	ADP
ejpam-5737	431	17	the	the	DET
ejpam-5737	431	18	islamic	islamic	PROPN
ejpam-5737	431	19	university	university	PROPN
ejpam-5737	431	20	of	of	ADP
ejpam-5737	431	21	madinah	madinah	PROPN
ejpam-5737	431	22	for	for	ADP
ejpam-5737	431	23	the	the	DET
ejpam-5737	431	24	support	support	NOUN
ejpam-5737	431	25	provided	provide	VERB
ejpam-5737	431	26	to	to	ADP
ejpam-5737	431	27	the	the	DET
ejpam-5737	431	28	post	post	NOUN
ejpam-5737	431	29	publishing	publishing	NOUN
ejpam-5737	431	30	program	program	NOUN
ejpam-5737	431	31	.	.	PUNCT
ejpam-5737	432	1	s.	s.	PROPN
ejpam-5737	432	2	m.	m.	PROPN
ejpam-5737	432	3	ahmed	ahmed	PROPN
ejpam-5737	432	4	,	,	PUNCT
ejpam-5737	432	5	g.	g.	PROPN
ejpam-5737	432	6	m.	m.	PROPN
ejpam-5737	432	7	ismail	ismail	PROPN
ejpam-5737	432	8	/	/	SYM
ejpam-5737	432	9	eur	eur	PROPN
ejpam-5737	432	10	.	.	PUNCT
ejpam-5737	433	1	j.	j.	PROPN
ejpam-5737	433	2	pure	pure	PROPN
ejpam-5737	433	3	appl	appl	PROPN
ejpam-5737	433	4	.	.	PROPN
ejpam-5737	433	5	math	math	PROPN
ejpam-5737	433	6	,	,	PUNCT
ejpam-5737	433	7	18	18	NUM
ejpam-5737	433	8	(	(	PUNCT
ejpam-5737	433	9	1	1	NUM
ejpam-5737	433	10	)	)	PUNCT
ejpam-5737	433	11	(	(	PUNCT
ejpam-5737	433	12	2025	2025	NUM
ejpam-5737	433	13	)	)	PUNCT
ejpam-5737	433	14	,	,	PUNCT
ejpam-5737	433	15	5737	5737	NUM
ejpam-5737	433	16	20	20	NUM
ejpam-5737	433	17	of	of	ADP
ejpam-5737	433	18	22	22	NUM
ejpam-5737	433	19	references	reference	NOUN
ejpam-5737	433	20	[	[	X
ejpam-5737	433	21	1	1	NUM
ejpam-5737	433	22	]	]	SYM
ejpam-5737	433	23	c	c	PROPN
ejpam-5737	433	24	e	e	X
ejpam-5737	433	25	shannon	shannon	PROPN
ejpam-5737	433	26	,	,	PUNCT
ejpam-5737	433	27	a	a	DET
ejpam-5737	433	28	mathematical	mathematical	ADJ
ejpam-5737	433	29	theory	theory	NOUN
ejpam-5737	433	30	of	of	ADP
ejpam-5737	433	31	communication	communication	NOUN
ejpam-5737	433	32	.	.	PUNCT
ejpam-5737	434	1	bell	bell	NOUN
ejpam-5737	434	2	system	system	PROPN
ejpam-5737	434	3	technical	technical	PROPN
ejpam-5737	434	4	journal	journal	PROPN
ejpam-5737	434	5	,	,	PUNCT
ejpam-5737	434	6	27(3	27(3	NUM
ejpam-5737	434	7	):	):	PUNCT
ejpam-5737	434	8	379	379	NUM
ejpam-5737	434	9	-	-	SYM
ejpam-5737	434	10	432	432	NUM
ejpam-5737	434	11	,	,	PUNCT
ejpam-5737	434	12	1948	1948	NUM
ejpam-5737	434	13	.	.	PUNCT
ejpam-5737	435	1	[	[	X
ejpam-5737	435	2	2	2	NUM
ejpam-5737	435	3	]	]	X
ejpam-5737	435	4	k	k	PROPN
ejpam-5737	435	5	m	m	PROPN
ejpam-5737	435	6	wong	wong	PROPN
ejpam-5737	435	7	and	and	CCONJ
ejpam-5737	435	8	s	s	PROPN
ejpam-5737	435	9	chan	chan	PROPN
ejpam-5737	435	10	,	,	PUNCT
ejpam-5737	435	11	the	the	DET
ejpam-5737	435	12	entropy	entropy	NOUN
ejpam-5737	435	13	of	of	ADP
ejpam-5737	435	14	ordered	order	VERB
ejpam-5737	435	15	sequences	sequence	NOUN
ejpam-5737	435	16	and	and	CCONJ
ejpam-5737	435	17	order	order	NOUN
ejpam-5737	435	18	statistics	statistic	NOUN
ejpam-5737	435	19	.	.	PUNCT
ejpam-5737	436	1	ieee	ieee	NOUN
ejpam-5737	436	2	transactions	transaction	NOUN
ejpam-5737	436	3	on	on	ADP
ejpam-5737	436	4	information	information	NOUN
ejpam-5737	436	5	theory	theory	NOUN
ejpam-5737	436	6	,	,	PUNCT
ejpam-5737	436	7	36(2	36(2	NUM
ejpam-5737	436	8	):	):	PUNCT
ejpam-5737	436	9	276	276	NUM
ejpam-5737	436	10	-	-	SYM
ejpam-5737	436	11	284	284	NUM
ejpam-5737	436	12	,	,	PUNCT
ejpam-5737	436	13	1990	1990	NUM
ejpam-5737	436	14	.	.	PUNCT
ejpam-5737	437	1	[	[	X
ejpam-5737	437	2	3	3	X
ejpam-5737	437	3	]	]	X
ejpam-5737	437	4	z	z	NOUN
ejpam-5737	437	5	a	a	DET
ejpam-5737	437	6	aboeleneen	aboeleneen	ADJ
ejpam-5737	437	7	,	,	PUNCT
ejpam-5737	437	8	the	the	DET
ejpam-5737	437	9	entropy	entropy	NOUN
ejpam-5737	437	10	of	of	ADP
ejpam-5737	437	11	progressively	progressively	ADV
ejpam-5737	437	12	censored	censor	VERB
ejpam-5737	437	13	samples	sample	NOUN
ejpam-5737	437	14	.	.	PUNCT
ejpam-5737	438	1	entropy	entropy	PROPN
ejpam-5737	438	2	,	,	PUNCT
ejpam-5737	438	3	13	13	NUM
ejpam-5737	438	4	:	:	SYM
ejpam-5737	438	5	437449	437449	NUM
ejpam-5737	438	6	,	,	PUNCT
ejpam-5737	438	7	2011	2011	NUM
ejpam-5737	438	8	.	.	PUNCT
ejpam-5737	439	1	[	[	X
ejpam-5737	439	2	4	4	NUM
ejpam-5737	439	3	]	]	X
ejpam-5737	439	4	s	s	PART
ejpam-5737	439	5	m	m	NOUN
ejpam-5737	439	6	sunoj	sunoj	NOUN
ejpam-5737	439	7	and	and	CCONJ
ejpam-5737	439	8	p	p	PRON
ejpam-5737	439	9	g	g	PROPN
ejpam-5737	439	10	sankaran	sankaran	NOUN
ejpam-5737	439	11	,	,	PUNCT
ejpam-5737	439	12	quantile	quantile	ADJ
ejpam-5737	439	13	based	base	VERB
ejpam-5737	439	14	entropy	entropy	PROPN
ejpam-5737	439	15	function	function	NOUN
ejpam-5737	439	16	.	.	PUNCT
ejpam-5737	440	1	statistics	statistic	NOUN
ejpam-5737	440	2	&	&	CCONJ
ejpam-5737	440	3	probability	probability	NOUN
ejpam-5737	440	4	letters	letter	NOUN
ejpam-5737	440	5	,	,	PUNCT
ejpam-5737	440	6	82:1049	82:1049	NOUN
ejpam-5737	440	7	-	-	SYM
ejpam-5737	440	8	1053	1053	NUM
ejpam-5737	440	9	,	,	PUNCT
ejpam-5737	440	10	2012	2012	NUM
ejpam-5737	440	11	.	.	PUNCT
ejpam-5737	441	1	[	[	X
ejpam-5737	441	2	5	5	X
ejpam-5737	441	3	]	]	PUNCT
ejpam-5737	441	4	j	j	PROPN
ejpam-5737	441	5	i	i	PROPN
ejpam-5737	441	6	seo	seo	PROPN
ejpam-5737	441	7	,	,	PUNCT
ejpam-5737	441	8	h	h	PROPN
ejpam-5737	441	9	j	j	PROPN
ejpam-5737	441	10	lee	lee	PROPN
ejpam-5737	441	11	and	and	CCONJ
ejpam-5737	441	12	s	s	PROPN
ejpam-5737	441	13	b	b	PROPN
ejpam-5737	441	14	kan	kan	PROPN
ejpam-5737	441	15	,	,	PUNCT
ejpam-5737	441	16	estimation	estimation	NOUN
ejpam-5737	441	17	for	for	ADP
ejpam-5737	441	18	generalized	generalized	ADJ
ejpam-5737	441	19	half	half	ADJ
ejpam-5737	441	20	logistic	logistic	ADJ
ejpam-5737	441	21	distribution	distribution	NOUN
ejpam-5737	441	22	based	base	VERB
ejpam-5737	441	23	on	on	ADP
ejpam-5737	441	24	records	record	NOUN
ejpam-5737	441	25	.	.	PUNCT
ejpam-5737	442	1	journal	journal	NOUN
ejpam-5737	442	2	of	of	ADP
ejpam-5737	442	3	the	the	DET
ejpam-5737	442	4	korean	korean	ADJ
ejpam-5737	442	5	data	data	PROPN
ejpam-5737	442	6	&	&	CCONJ
ejpam-5737	442	7	information	information	PROPN
ejpam-5737	442	8	science	science	NOUN
ejpam-5737	442	9	society	society	NOUN
ejpam-5737	442	10	,	,	PUNCT
ejpam-5737	442	11	23(6	23(6	NUM
ejpam-5737	442	12	):	):	PUNCT
ejpam-5737	442	13	1249	1249	NUM
ejpam-5737	442	14	-	-	SYM
ejpam-5737	442	15	1257	1257	NUM
ejpam-5737	442	16	,	,	PUNCT
ejpam-5737	442	17	2012	2012	NUM
ejpam-5737	442	18	.	.	PUNCT
ejpam-5737	443	1	[	[	X
ejpam-5737	443	2	6	6	NUM
ejpam-5737	443	3	]	]	X
ejpam-5737	443	4	y	y	PROPN
ejpam-5737	443	5	cho	cho	PROPN
ejpam-5737	443	6	,	,	PUNCT
ejpam-5737	443	7	h	h	PROPN
ejpam-5737	443	8	sun	sun	PROPN
ejpam-5737	443	9	and	and	CCONJ
ejpam-5737	443	10	k	k	PROPN
ejpam-5737	443	11	lee	lee	PROPN
ejpam-5737	443	12	,	,	PUNCT
ejpam-5737	443	13	an	an	DET
ejpam-5737	443	14	estimation	estimation	NOUN
ejpam-5737	443	15	of	of	ADP
ejpam-5737	443	16	the	the	DET
ejpam-5737	443	17	entropy	entropy	NOUN
ejpam-5737	443	18	for	for	ADP
ejpam-5737	443	19	a	a	DET
ejpam-5737	443	20	rayleigh	rayleigh	NOUN
ejpam-5737	443	21	distribution	distribution	NOUN
ejpam-5737	443	22	based	base	VERB
ejpam-5737	443	23	on	on	ADP
ejpam-5737	443	24	doubly	doubly	ADV
ejpam-5737	443	25	-	-	PUNCT
ejpam-5737	443	26	generalized	generalize	VERB
ejpam-5737	443	27	type	type	NOUN
ejpam-5737	443	28	-	-	PUNCT
ejpam-5737	443	29	ii	ii	NOUN
ejpam-5737	443	30	hybrid	hybrid	ADJ
ejpam-5737	443	31	censored	censor	VERB
ejpam-5737	443	32	samples	sample	NOUN
ejpam-5737	443	33	.	.	PUNCT
ejpam-5737	444	1	entropy	entropy	PROPN
ejpam-5737	444	2	,	,	PUNCT
ejpam-5737	444	3	16(7	16(7	NUM
ejpam-5737	444	4	):	):	PUNCT
ejpam-5737	444	5	365569	365569	NUM
ejpam-5737	444	6	,	,	PUNCT
ejpam-5737	444	7	2014	2014	NUM
ejpam-5737	444	8	.	.	PUNCT
ejpam-5737	445	1	[	[	X
ejpam-5737	445	2	7	7	X
ejpam-5737	445	3	]	]	X
ejpam-5737	445	4	g	g	PROPN
ejpam-5737	445	5	q	q	PROPN
ejpam-5737	445	6	zhao	zhao	PROPN
ejpam-5737	445	7	,	,	PUNCT
ejpam-5737	445	8	w	w	PROPN
ejpam-5737	445	9	liang	liang	PROPN
ejpam-5737	445	10	and	and	CCONJ
ejpam-5737	445	11	s	s	PROPN
ejpam-5737	445	12	y	y	VERB
ejpam-5737	445	13	he	he	PRON
ejpam-5737	445	14	,	,	PUNCT
ejpam-5737	445	15	empirical	empirical	ADJ
ejpam-5737	445	16	entropy	entropy	NOUN
ejpam-5737	445	17	for	for	ADP
ejpam-5737	445	18	right	right	ADJ
ejpam-5737	445	19	censored	censored	ADJ
ejpam-5737	445	20	data	datum	NOUN
ejpam-5737	445	21	.	.	PUNCT
ejpam-5737	446	1	acta	acta	PROPN
ejpam-5737	446	2	mathematicae	mathematicae	PROPN
ejpam-5737	446	3	applicatae	applicatae	PROPN
ejpam-5737	446	4	sinica	sinica	PROPN
ejpam-5737	446	5	,	,	PUNCT
ejpam-5737	446	6	english	english	ADJ
ejpam-5737	446	7	series	series	NOUN
ejpam-5737	446	8	,	,	PUNCT
ejpam-5737	446	9	31(2	31(2	NUM
ejpam-5737	446	10	):	):	PUNCT
ejpam-5737	446	11	395	395	NUM
ejpam-5737	446	12	-	-	SYM
ejpam-5737	446	13	404	404	NUM
ejpam-5737	446	14	,	,	PUNCT
ejpam-5737	446	15	2015	2015	NUM
ejpam-5737	446	16	.	.	PUNCT
ejpam-5737	447	1	[	[	X
ejpam-5737	447	2	8	8	NUM
ejpam-5737	447	3	]	]	X
ejpam-5737	447	4	y	y	PROPN
ejpam-5737	447	5	cho	cho	PROPN
ejpam-5737	447	6	,	,	PUNCT
ejpam-5737	447	7	h	h	PROPN
ejpam-5737	447	8	sun	sun	PROPN
ejpam-5737	447	9	and	and	CCONJ
ejpam-5737	447	10	k	k	PROPN
ejpam-5737	447	11	lee	lee	PROPN
ejpam-5737	447	12	,	,	PUNCT
ejpam-5737	447	13	estimating	estimate	VERB
ejpam-5737	447	14	the	the	DET
ejpam-5737	447	15	entropy	entropy	NOUN
ejpam-5737	447	16	of	of	ADP
ejpam-5737	447	17	a	a	DET
ejpam-5737	447	18	weibull	weibull	NOUN
ejpam-5737	447	19	distribution	distribution	NOUN
ejpam-5737	447	20	under	under	ADP
ejpam-5737	447	21	generalized	generalized	ADJ
ejpam-5737	447	22	progressive	progressive	ADJ
ejpam-5737	447	23	hybrid	hybrid	ADJ
ejpam-5737	447	24	censoring	censoring	NOUN
ejpam-5737	447	25	.	.	PUNCT
ejpam-5737	448	1	entropy	entropy	PROPN
ejpam-5737	448	2	,	,	PUNCT
ejpam-5737	448	3	17(1	17(1	NUM
ejpam-5737	448	4	):	):	PUNCT
ejpam-5737	448	5	102	102	NUM
ejpam-5737	448	6	-	-	SYM
ejpam-5737	448	7	122	122	NUM
ejpam-5737	448	8	,	,	PUNCT
ejpam-5737	448	9	2015	2015	NUM
ejpam-5737	448	10	.	.	PUNCT
ejpam-5737	449	1	[	[	X
ejpam-5737	449	2	9	9	NUM
ejpam-5737	449	3	]	]	X
ejpam-5737	449	4	k	k	PROPN
ejpam-5737	449	5	lee	lee	PROPN
ejpam-5737	449	6	,	,	PUNCT
ejpam-5737	449	7	estimation	estimation	NOUN
ejpam-5737	449	8	of	of	ADP
ejpam-5737	449	9	entropy	entropy	NOUN
ejpam-5737	449	10	of	of	ADP
ejpam-5737	449	11	the	the	DET
ejpam-5737	449	12	inverse	inverse	NOUN
ejpam-5737	449	13	weibul	weibul	NOUN
ejpam-5737	449	14	ldistribution	ldistribution	NOUN
ejpam-5737	449	15	under	under	ADP
ejpam-5737	449	16	generalized	generalized	ADJ
ejpam-5737	449	17	progressive	progressive	ADJ
ejpam-5737	449	18	hybrid	hybrid	ADJ
ejpam-5737	449	19	censored	censored	ADJ
ejpam-5737	449	20	data	datum	NOUN
ejpam-5737	449	21	.	.	PUNCT
ejpam-5737	450	1	journal	journal	NOUN
ejpam-5737	450	2	of	of	ADP
ejpam-5737	450	3	the	the	DET
ejpam-5737	450	4	korean	korean	ADJ
ejpam-5737	450	5	data	data	PROPN
ejpam-5737	450	6	&	&	CCONJ
ejpam-5737	450	7	information	information	PROPN
ejpam-5737	450	8	science	science	NOUN
ejpam-5737	450	9	society	society	PROPN
ejpam-5737	450	10	,	,	PUNCT
ejpam-5737	450	11	28(3	28(3	NUM
ejpam-5737	450	12	):	):	PUNCT
ejpam-5737	450	13	659668	659668	NUM
ejpam-5737	450	14	,	,	PUNCT
ejpam-5737	450	15	2017	2017	NUM
ejpam-5737	450	16	.	.	PUNCT
ejpam-5737	451	1	[	[	X
ejpam-5737	451	2	10	10	NUM
ejpam-5737	451	3	]	]	X
ejpam-5737	451	4	b	b	X
ejpam-5737	451	5	almohaimeed	almohaimeed	NOUN
ejpam-5737	451	6	,	,	PUNCT
ejpam-5737	451	7	on	on	ADP
ejpam-5737	451	8	the	the	DET
ejpam-5737	451	9	entropy	entropy	NOUN
ejpam-5737	451	10	of	of	ADP
ejpam-5737	451	11	progressive	progressive	ADJ
ejpam-5737	451	12	hybrid	hybrid	ADJ
ejpam-5737	451	13	censoring	censor	VERB
ejpam-5737	451	14	schemes	scheme	NOUN
ejpam-5737	451	15	.	.	PUNCT
ejpam-5737	452	1	applied	apply	VERB
ejpam-5737	452	2	mathematics	mathematics	PROPN
ejpam-5737	452	3	&	&	CCONJ
ejpam-5737	452	4	information	information	NOUN
ejpam-5737	452	5	sciences	sciences	PROPN
ejpam-5737	452	6	,	,	PUNCT
ejpam-5737	452	7	11(6	11(6	NUM
ejpam-5737	452	8	):	):	PUNCT
ejpam-5737	452	9	1811	1811	NUM
ejpam-5737	452	10	-	-	SYM
ejpam-5737	452	11	1814	1814	NUM
ejpam-5737	452	12	,	,	PUNCT
ejpam-5737	452	13	2017	2017	NUM
ejpam-5737	452	14	.	.	PUNCT
ejpam-5737	453	1	[	[	X
ejpam-5737	453	2	11	11	NUM
ejpam-5737	453	3	]	]	PUNCT
ejpam-5737	453	4	m	m	NOUN
ejpam-5737	453	5	chacko	chacko	NOUN
ejpam-5737	453	6	and	and	CCONJ
ejpam-5737	453	7	p	p	X
ejpam-5737	453	8	s	s	PROPN
ejpam-5737	453	9	asha	asha	PROPN
ejpam-5737	453	10	,	,	PUNCT
ejpam-5737	453	11	estimation	estimation	NOUN
ejpam-5737	453	12	of	of	ADP
ejpam-5737	453	13	entropy	entropy	NOUN
ejpam-5737	453	14	for	for	ADP
ejpam-5737	453	15	generalized	generalized	ADJ
ejpam-5737	453	16	exponential	exponential	ADJ
ejpam-5737	453	17	distribution	distribution	NOUN
ejpam-5737	453	18	based	base	VERB
ejpam-5737	453	19	on	on	ADP
ejpam-5737	453	20	record	record	NOUN
ejpam-5737	453	21	values	value	NOUN
ejpam-5737	453	22	.	.	PUNCT
ejpam-5737	454	1	journal	journal	NOUN
ejpam-5737	454	2	of	of	ADP
ejpam-5737	454	3	the	the	DET
ejpam-5737	454	4	indian	indian	ADJ
ejpam-5737	454	5	society	society	NOUN
ejpam-5737	454	6	for	for	ADP
ejpam-5737	454	7	probability	probability	NOUN
ejpam-5737	454	8	and	and	CCONJ
ejpam-5737	454	9	statistics	statistic	NOUN
ejpam-5737	454	10	,	,	PUNCT
ejpam-5737	454	11	19(1	19(1	NUM
ejpam-5737	454	12	):	):	PUNCT
ejpam-5737	454	13	79	79	NUM
ejpam-5737	454	14	-	-	SYM
ejpam-5737	454	15	96	96	NUM
ejpam-5737	454	16	,	,	PUNCT
ejpam-5737	454	17	2018	2018	NUM
ejpam-5737	454	18	.	.	PUNCT
ejpam-5737	455	1	[	[	X
ejpam-5737	455	2	12	12	NUM
ejpam-5737	455	3	]	]	PUNCT
ejpam-5737	455	4	a	a	PRON
ejpam-5737	455	5	s	s	X
ejpam-5737	455	6	hassan	hassan	PROPN
ejpam-5737	455	7	and	and	CCONJ
ejpam-5737	455	8	a	a	DET
ejpam-5737	455	9	n	n	PRON
ejpam-5737	455	10	zaky	zaky	NOUN
ejpam-5737	455	11	,	,	PUNCT
ejpam-5737	455	12	estimation	estimation	NOUN
ejpam-5737	455	13	of	of	ADP
ejpam-5737	455	14	entropy	entropy	NOUN
ejpam-5737	455	15	for	for	ADP
ejpam-5737	455	16	inverse	inverse	ADJ
ejpam-5737	455	17	weibull	weibull	NOUN
ejpam-5737	455	18	distribution	distribution	NOUN
ejpam-5737	455	19	under	under	ADP
ejpam-5737	455	20	multiple	multiple	ADJ
ejpam-5737	455	21	censored	censored	ADJ
ejpam-5737	455	22	data	datum	NOUN
ejpam-5737	455	23	.	.	PUNCT
ejpam-5737	456	1	journal	journal	PROPN
ejpam-5737	456	2	of	of	ADP
ejpam-5737	456	3	taibah	taibah	PROPN
ejpam-5737	456	4	university	university	PROPN
ejpam-5737	456	5	for	for	ADP
ejpam-5737	456	6	science	science	NOUN
ejpam-5737	456	7	,	,	PUNCT
ejpam-5737	456	8	13(1	13(1	NUM
ejpam-5737	456	9	):	):	PUNCT
ejpam-5737	456	10	331337	331337	NUM
ejpam-5737	456	11	,	,	PUNCT
ejpam-5737	456	12	2019	2019	NUM
ejpam-5737	456	13	.	.	PUNCT
ejpam-5737	457	1	[	[	X
ejpam-5737	457	2	13	13	NUM
ejpam-5737	457	3	]	]	PUNCT
ejpam-5737	457	4	x	x	PROPN
ejpam-5737	457	5	wang	wang	PROPN
ejpam-5737	457	6	and	and	CCONJ
ejpam-5737	457	7	w	w	PROPN
ejpam-5737	457	8	gui	gui	PROPN
ejpam-5737	457	9	,	,	PUNCT
ejpam-5737	457	10	bayesian	bayesian	NOUN
ejpam-5737	457	11	estimation	estimation	NOUN
ejpam-5737	457	12	of	of	ADP
ejpam-5737	457	13	entropy	entropy	NOUN
ejpam-5737	457	14	for	for	ADP
ejpam-5737	457	15	burr	burr	NOUN
ejpam-5737	457	16	type	type	NOUN
ejpam-5737	457	17	xii	xii	NOUN
ejpam-5737	457	18	distribution	distribution	NOUN
ejpam-5737	457	19	under	under	ADP
ejpam-5737	457	20	progressive	progressive	ADJ
ejpam-5737	457	21	type	type	NOUN
ejpam-5737	457	22	-	-	PUNCT
ejpam-5737	457	23	ii	ii	NOUN
ejpam-5737	457	24	censored	censor	VERB
ejpam-5737	457	25	data	datum	NOUN
ejpam-5737	457	26	.	.	PUNCT
ejpam-5737	458	1	mathematics	mathematic	NOUN
ejpam-5737	458	2	,	,	PUNCT
ejpam-5737	458	3	9(4):313	9(4):313	NUM
ejpam-5737	458	4	,	,	PUNCT
ejpam-5737	458	5	2021	2021	NUM
ejpam-5737	458	6	.	.	PUNCT
ejpam-5737	459	1	[	[	X
ejpam-5737	459	2	14	14	NUM
ejpam-5737	459	3	]	]	PUNCT
ejpam-5737	459	4	n	n	CCONJ
ejpam-5737	459	5	balakrishnan	balakrishnan	NOUN
ejpam-5737	459	6	and	and	CCONJ
ejpam-5737	459	7	r	r	NOUN
ejpam-5737	459	8	aggarwala	aggarwala	NOUN
ejpam-5737	459	9	,	,	PUNCT
ejpam-5737	459	10	progressive	progressive	ADJ
ejpam-5737	459	11	censoring	censor	VERB
ejpam-5737	459	12	:	:	PUNCT
ejpam-5737	459	13	theory	theory	NOUN
ejpam-5737	459	14	,	,	PUNCT
ejpam-5737	459	15	methods	method	NOUN
ejpam-5737	459	16	and	and	CCONJ
ejpam-5737	459	17	applications	application	NOUN
ejpam-5737	459	18	,	,	PUNCT
ejpam-5737	459	19	birkhauser	birkhauser	NOUN
ejpam-5737	459	20	:	:	PUNCT
ejpam-5737	459	21	boston	boston	PROPN
ejpam-5737	459	22	,	,	PUNCT
ejpam-5737	459	23	m	m	VERB
ejpam-5737	459	24	a.	a.	NOUN
ejpam-5737	459	25	(	(	PUNCT
ejpam-5737	459	26	2000	2000	NUM
ejpam-5737	459	27	)	)	PUNCT
ejpam-5737	459	28	.	.	PUNCT
ejpam-5737	460	1	[	[	X
ejpam-5737	460	2	15	15	NUM
ejpam-5737	460	3	]	]	X
ejpam-5737	460	4	h	h	NOUN
ejpam-5737	460	5	k	k	PROPN
ejpam-5737	460	6	t	t	PROPN
ejpam-5737	460	7	ng	ng	PROPN
ejpam-5737	460	8	,	,	PUNCT
ejpam-5737	460	9	d	d	NOUN
ejpam-5737	460	10	kundu	kundu	NOUN
ejpam-5737	460	11	and	and	CCONJ
ejpam-5737	460	12	p	p	NOUN
ejpam-5737	460	13	s	s	PROPN
ejpam-5737	460	14	chan	chan	NOUN
ejpam-5737	460	15	,	,	PUNCT
ejpam-5737	460	16	statistical	statistical	ADJ
ejpam-5737	460	17	analysis	analysis	NOUN
ejpam-5737	460	18	of	of	ADP
ejpam-5737	460	19	exponential	exponential	ADJ
ejpam-5737	460	20	lifetimes	lifetime	NOUN
ejpam-5737	460	21	under	under	ADP
ejpam-5737	460	22	an	an	DET
ejpam-5737	460	23	adaptive	adaptive	ADJ
ejpam-5737	460	24	type	type	NOUN
ejpam-5737	460	25	-	-	PUNCT
ejpam-5737	460	26	ii	ii	NOUN
ejpam-5737	460	27	progressive	progressive	ADJ
ejpam-5737	460	28	censoring	censor	VERB
ejpam-5737	460	29	scheme	scheme	NOUN
ejpam-5737	460	30	.	.	PUNCT
ejpam-5737	461	1	naval	naval	ADJ
ejpam-5737	461	2	research	research	PROPN
ejpam-5737	461	3	logistics	logistic	NOUN
ejpam-5737	461	4	,	,	PUNCT
ejpam-5737	461	5	56	56	NUM
ejpam-5737	461	6	:	:	PUNCT
ejpam-5737	461	7	687	687	NUM
ejpam-5737	461	8	-	-	SYM
ejpam-5737	461	9	698	698	NUM
ejpam-5737	461	10	,	,	PUNCT
ejpam-5737	461	11	2009	2009	NUM
ejpam-5737	461	12	.	.	PUNCT
ejpam-5737	462	1	[	[	X
ejpam-5737	462	2	16	16	NUM
ejpam-5737	462	3	]	]	X
ejpam-5737	462	4	m	m	VERB
ejpam-5737	462	5	m	m	VERB
ejpam-5737	462	6	a	a	DET
ejpam-5737	462	7	sobhi	sobhi	ADJ
ejpam-5737	462	8	and	and	CCONJ
ejpam-5737	462	9	a	a	DET
ejpam-5737	462	10	a	a	DET
ejpam-5737	462	11	soliman	soliman	NOUN
ejpam-5737	462	12	,	,	PUNCT
ejpam-5737	462	13	estimation	estimation	NOUN
ejpam-5737	462	14	for	for	ADP
ejpam-5737	462	15	the	the	DET
ejpam-5737	462	16	exponentiated	exponentiated	ADJ
ejpam-5737	462	17	weibull	weibull	PROPN
ejpam-5737	462	18	model	model	NOUN
ejpam-5737	462	19	with	with	ADP
ejpam-5737	462	20	adaptive	adaptive	ADJ
ejpam-5737	462	21	type	type	NOUN
ejpam-5737	462	22	-	-	PUNCT
ejpam-5737	462	23	ii	ii	NOUN
ejpam-5737	462	24	progressive	progressive	ADJ
ejpam-5737	462	25	censored	censored	ADJ
ejpam-5737	462	26	schemes	scheme	NOUN
ejpam-5737	462	27	.	.	PUNCT
ejpam-5737	463	1	applied	apply	VERB
ejpam-5737	463	2	mathematical	mathematical	ADJ
ejpam-5737	463	3	modelling	modelling	NOUN
ejpam-5737	463	4	,	,	PUNCT
ejpam-5737	463	5	40	40	NUM
ejpam-5737	463	6	:	:	SYM
ejpam-5737	463	7	1180	1180	NUM
ejpam-5737	463	8	-	-	SYM
ejpam-5737	463	9	1192	1192	NUM
ejpam-5737	463	10	,	,	PUNCT
ejpam-5737	463	11	2016	2016	NUM
ejpam-5737	463	12	.	.	PUNCT
ejpam-5737	464	1	[	[	X
ejpam-5737	464	2	17	17	NUM
ejpam-5737	464	3	]	]	X
ejpam-5737	464	4	m	m	VERB
ejpam-5737	464	5	nassar	nassar	ADJ
ejpam-5737	464	6	and	and	CCONJ
ejpam-5737	464	7	o	o	NOUN
ejpam-5737	464	8	e	e	NOUN
ejpam-5737	464	9	abo	abo	PROPN
ejpam-5737	464	10	-	-	PUNCT
ejpam-5737	464	11	kasem	kasem	NOUN
ejpam-5737	464	12	,	,	PUNCT
ejpam-5737	464	13	estimation	estimation	NOUN
ejpam-5737	464	14	of	of	ADP
ejpam-5737	464	15	the	the	DET
ejpam-5737	464	16	inverse	inverse	ADJ
ejpam-5737	464	17	weibull	weibull	NOUN
ejpam-5737	464	18	parameters	parameter	NOUN
ejpam-5737	464	19	under	under	ADP
ejpam-5737	464	20	adaptive	adaptive	ADJ
ejpam-5737	464	21	type	type	NOUN
ejpam-5737	464	22	-	-	PUNCT
ejpam-5737	464	23	ii	ii	NOUN
ejpam-5737	464	24	progressive	progressive	ADJ
ejpam-5737	464	25	hybrid	hybrid	ADJ
ejpam-5737	464	26	censoring	censor	VERB
ejpam-5737	464	27	scheme	scheme	NOUN
ejpam-5737	464	28	.	.	PUNCT
ejpam-5737	465	1	journal	journal	NOUN
ejpam-5737	465	2	of	of	ADP
ejpam-5737	465	3	computational	computational	PROPN
ejpam-5737	465	4	and	and	CCONJ
ejpam-5737	465	5	s.	s.	PROPN
ejpam-5737	465	6	m.	m.	PROPN
ejpam-5737	465	7	ahmed	ahmed	PROPN
ejpam-5737	465	8	,	,	PUNCT
ejpam-5737	465	9	g.	g.	PROPN
ejpam-5737	465	10	m.	m.	PROPN
ejpam-5737	465	11	ismail	ismail	PROPN
ejpam-5737	465	12	/	/	SYM
ejpam-5737	465	13	eur	eur	PROPN
ejpam-5737	465	14	.	.	PUNCT
ejpam-5737	466	1	j.	j.	PROPN
ejpam-5737	466	2	pure	pure	PROPN
ejpam-5737	466	3	appl	appl	PROPN
ejpam-5737	466	4	.	.	PROPN
ejpam-5737	466	5	math	math	PROPN
ejpam-5737	466	6	,	,	PUNCT
ejpam-5737	466	7	18	18	NUM
ejpam-5737	466	8	(	(	PUNCT
ejpam-5737	466	9	1	1	NUM
ejpam-5737	466	10	)	)	PUNCT
ejpam-5737	466	11	(	(	PUNCT
ejpam-5737	466	12	2025	2025	NUM
ejpam-5737	466	13	)	)	PUNCT
ejpam-5737	466	14	,	,	PUNCT
ejpam-5737	466	15	5737	5737	NUM
ejpam-5737	466	16	21	21	NUM
ejpam-5737	466	17	of	of	ADP
ejpam-5737	466	18	22	22	NUM
ejpam-5737	466	19	applied	applied	ADJ
ejpam-5737	466	20	mathematics	mathematic	NOUN
ejpam-5737	466	21	,	,	PUNCT
ejpam-5737	466	22	315	315	NUM
ejpam-5737	466	23	:	:	PUNCT
ejpam-5737	466	24	228	228	NUM
ejpam-5737	466	25	-	-	SYM
ejpam-5737	466	26	239	239	NUM
ejpam-5737	466	27	,	,	PUNCT
ejpam-5737	466	28	2017	2017	NUM
ejpam-5737	466	29	.	.	PUNCT
ejpam-5737	467	1	[	[	X
ejpam-5737	467	2	18	18	NUM
ejpam-5737	467	3	]	]	X
ejpam-5737	467	4	m	m	PROPN
ejpam-5737	467	5	f	f	NOUN
ejpam-5737	467	6	sewailem	sewailem	NOUN
ejpam-5737	467	7	and	and	CCONJ
ejpam-5737	467	8	a	a	DET
ejpam-5737	467	9	baklizi	baklizi	NOUN
ejpam-5737	467	10	,	,	PUNCT
ejpam-5737	467	11	inference	inference	NOUN
ejpam-5737	467	12	for	for	ADP
ejpam-5737	467	13	the	the	DET
ejpam-5737	467	14	log	log	NOUN
ejpam-5737	467	15	-	-	PUNCT
ejpam-5737	467	16	logistic	logistic	NOUN
ejpam-5737	467	17	distribution	distribution	NOUN
ejpam-5737	467	18	based	base	VERB
ejpam-5737	467	19	on	on	ADP
ejpam-5737	467	20	an	an	DET
ejpam-5737	467	21	adaptive	adaptive	ADJ
ejpam-5737	467	22	progressive	progressive	ADJ
ejpam-5737	467	23	type	type	NOUN
ejpam-5737	467	24	-	-	PUNCT
ejpam-5737	467	25	ii	ii	NOUN
ejpam-5737	467	26	censoring	censor	VERB
ejpam-5737	467	27	scheme	scheme	NOUN
ejpam-5737	467	28	.	.	PUNCT
ejpam-5737	468	1	cogent	cogent	NOUN
ejpam-5737	468	2	mathematics	mathematics	PROPN
ejpam-5737	468	3	&	&	CCONJ
ejpam-5737	468	4	statistics	statistic	NOUN
ejpam-5737	468	5	,	,	PUNCT
ejpam-5737	468	6	6	6	NUM
ejpam-5737	468	7	:	:	SYM
ejpam-5737	468	8	1684228	1684228	NUM
ejpam-5737	468	9	,	,	PUNCT
ejpam-5737	468	10	2019	2019	NUM
ejpam-5737	468	11	.	.	PUNCT
ejpam-5737	469	1	[	[	X
ejpam-5737	469	2	19	19	NUM
ejpam-5737	469	3	]	]	X
ejpam-5737	469	4	r	r	NOUN
ejpam-5737	469	5	xu	xu	PROPN
ejpam-5737	469	6	and	and	CCONJ
ejpam-5737	469	7	w	w	PROPN
ejpam-5737	469	8	gui	gui	PROPN
ejpam-5737	469	9	,	,	PUNCT
ejpam-5737	469	10	entropy	entropy	PROPN
ejpam-5737	469	11	estimation	estimation	NOUN
ejpam-5737	469	12	of	of	ADP
ejpam-5737	469	13	inverse	inverse	ADJ
ejpam-5737	469	14	weibull	weibull	NOUN
ejpam-5737	469	15	distribution	distribution	NOUN
ejpam-5737	469	16	under	under	ADP
ejpam-5737	469	17	adaptive	adaptive	ADJ
ejpam-5737	469	18	type	type	NOUN
ejpam-5737	469	19	-	-	PUNCT
ejpam-5737	469	20	ii	ii	NOUN
ejpam-5737	469	21	progressive	progressive	ADJ
ejpam-5737	469	22	hybrid	hybrid	ADJ
ejpam-5737	469	23	censoring	censor	VERB
ejpam-5737	469	24	schemes	scheme	NOUN
ejpam-5737	469	25	.	.	PUNCT
ejpam-5737	470	1	symmetry	symmetry	NOUN
ejpam-5737	470	2	,	,	PUNCT
ejpam-5737	470	3	11	11	NUM
ejpam-5737	470	4	:	:	SYM
ejpam-5737	470	5	1463	1463	NUM
ejpam-5737	470	6	,	,	PUNCT
ejpam-5737	470	7	2016	2016	NUM
ejpam-5737	470	8	.	.	PUNCT
ejpam-5737	471	1	[	[	X
ejpam-5737	471	2	20	20	NUM
ejpam-5737	471	3	]	]	SYM
ejpam-5737	471	4	h	h	NOUN
ejpam-5737	471	5	panahi	panahi	NOUN
ejpam-5737	471	6	and	and	CCONJ
ejpam-5737	471	7	n	n	PRON
ejpam-5737	471	8	moradi	moradi	NOUN
ejpam-5737	471	9	,	,	PUNCT
ejpam-5737	471	10	estimation	estimation	NOUN
ejpam-5737	471	11	of	of	ADP
ejpam-5737	471	12	the	the	DET
ejpam-5737	471	13	inverted	invert	VERB
ejpam-5737	471	14	exponentiated	exponentiate	VERB
ejpam-5737	471	15	rayleigh	rayleigh	NOUN
ejpam-5737	471	16	distribution	distribution	NOUN
ejpam-5737	471	17	based	base	VERB
ejpam-5737	471	18	on	on	ADP
ejpam-5737	471	19	adaptive	adaptive	ADJ
ejpam-5737	471	20	type	type	NOUN
ejpam-5737	471	21	-	-	PUNCT
ejpam-5737	471	22	ii	ii	NOUN
ejpam-5737	471	23	progressive	progressive	ADJ
ejpam-5737	471	24	hybrid	hybrid	ADJ
ejpam-5737	471	25	censored	censored	ADJ
ejpam-5737	471	26	sample	sample	NOUN
ejpam-5737	471	27	.	.	PUNCT
ejpam-5737	472	1	journal	journal	PROPN
ejpam-5737	472	2	of	of	ADP
ejpam-5737	472	3	computational	computational	ADJ
ejpam-5737	472	4	and	and	CCONJ
ejpam-5737	472	5	applied	applied	ADJ
ejpam-5737	472	6	mathematics	mathematic	NOUN
ejpam-5737	472	7	,	,	PUNCT
ejpam-5737	472	8	364	364	NUM
ejpam-5737	472	9	:	:	SYM
ejpam-5737	472	10	112345	112345	NUM
ejpam-5737	472	11	,	,	PUNCT
ejpam-5737	472	12	2020	2020	NUM
ejpam-5737	472	13	.	.	PUNCT
ejpam-5737	473	1	[	[	X
ejpam-5737	473	2	21	21	NUM
ejpam-5737	473	3	]	]	X
ejpam-5737	473	4	s	s	PART
ejpam-5737	473	5	chen	chen	PROPN
ejpam-5737	473	6	and	and	CCONJ
ejpam-5737	473	7	w	w	PROPN
ejpam-5737	473	8	gui	gui	PROPN
ejpam-5737	473	9	,	,	PUNCT
ejpam-5737	473	10	statistical	statistical	ADJ
ejpam-5737	473	11	analysis	analysis	NOUN
ejpam-5737	473	12	of	of	ADP
ejpam-5737	473	13	a	a	DET
ejpam-5737	473	14	lifetime	lifetime	NOUN
ejpam-5737	473	15	distribution	distribution	NOUN
ejpam-5737	473	16	with	with	ADP
ejpam-5737	473	17	a	a	DET
ejpam-5737	473	18	bathtubshaped	bathtubshape	VERB
ejpam-5737	473	19	failure	failure	NOUN
ejpam-5737	473	20	rate	rate	NOUN
ejpam-5737	473	21	function	function	NOUN
ejpam-5737	473	22	under	under	ADP
ejpam-5737	473	23	adaptive	adaptive	ADJ
ejpam-5737	473	24	progressive	progressive	ADJ
ejpam-5737	473	25	type	type	NOUN
ejpam-5737	473	26	-	-	PUNCT
ejpam-5737	473	27	ii	ii	NOUN
ejpam-5737	473	28	censoring	censoring	NOUN
ejpam-5737	473	29	.	.	PUNCT
ejpam-5737	474	1	mathematics	mathematic	NOUN
ejpam-5737	474	2	,	,	PUNCT
ejpam-5737	474	3	8	8	NUM
ejpam-5737	474	4	:	:	SYM
ejpam-5737	474	5	670	670	NUM
ejpam-5737	474	6	,	,	PUNCT
ejpam-5737	474	7	2020	2020	NUM
ejpam-5737	474	8	.	.	PUNCT
ejpam-5737	475	1	[	[	X
ejpam-5737	475	2	22	22	NUM
ejpam-5737	475	3	]	]	X
ejpam-5737	475	4	r	r	NOUN
ejpam-5737	475	5	mohan	mohan	PROPN
ejpam-5737	475	6	and	and	CCONJ
ejpam-5737	475	7	m	m	PROPN
ejpam-5737	475	8	chacko	chacko	NOUN
ejpam-5737	475	9	,	,	PUNCT
ejpam-5737	475	10	estimation	estimation	NOUN
ejpam-5737	475	11	of	of	ADP
ejpam-5737	475	12	parameters	parameter	NOUN
ejpam-5737	475	13	of	of	ADP
ejpam-5737	475	14	kumaraswamy	kumaraswamy	ADJ
ejpam-5737	475	15	-	-	PUNCT
ejpam-5737	475	16	exponential	exponential	NOUN
ejpam-5737	475	17	distribution	distribution	NOUN
ejpam-5737	475	18	based	base	VERB
ejpam-5737	475	19	on	on	ADP
ejpam-5737	475	20	adaptive	adaptive	ADJ
ejpam-5737	475	21	type	type	NOUN
ejpam-5737	475	22	-	-	PUNCT
ejpam-5737	475	23	ii	ii	NOUN
ejpam-5737	475	24	progressive	progressive	ADJ
ejpam-5737	475	25	censored	censored	ADJ
ejpam-5737	475	26	schemes	scheme	NOUN
ejpam-5737	475	27	.	.	PUNCT
ejpam-5737	476	1	journal	journal	NOUN
ejpam-5737	476	2	of	of	ADP
ejpam-5737	476	3	statistical	statistical	ADJ
ejpam-5737	476	4	computation	computation	NOUN
ejpam-5737	476	5	and	and	CCONJ
ejpam-5737	476	6	simulation	simulation	NOUN
ejpam-5737	476	7	,	,	PUNCT
ejpam-5737	476	8	91	91	NUM
ejpam-5737	476	9	:	:	SYM
ejpam-5737	476	10	81	81	NUM
ejpam-5737	476	11	-	-	PUNCT
ejpam-5737	476	12	107	107	NUM
ejpam-5737	476	13	,	,	PUNCT
ejpam-5737	476	14	2021	2021	NUM
ejpam-5737	476	15	.	.	PUNCT
ejpam-5737	477	1	[	[	X
ejpam-5737	477	2	23	23	NUM
ejpam-5737	477	3	]	]	X
ejpam-5737	477	4	r	r	NOUN
ejpam-5737	477	5	hora	hora	PROPN
ejpam-5737	477	6	,	,	PUNCT
ejpam-5737	477	7	n	n	PROPN
ejpam-5737	477	8	c	c	NOUN
ejpam-5737	477	9	kabdwal	kabdwal	NOUN
ejpam-5737	477	10	and	and	CCONJ
ejpam-5737	477	11	p	p	PROPN
ejpam-5737	477	12	srivastava	srivastava	PROPN
ejpam-5737	477	13	,	,	PUNCT
ejpam-5737	477	14	classical	classical	ADJ
ejpam-5737	477	15	and	and	CCONJ
ejpam-5737	477	16	bayesian	bayesian	NOUN
ejpam-5737	477	17	inference	inference	NOUN
ejpam-5737	477	18	for	for	ADP
ejpam-5737	477	19	the	the	DET
ejpam-5737	477	20	inverse	inverse	NOUN
ejpam-5737	477	21	lomax	lomax	PROPN
ejpam-5737	477	22	distribution	distribution	NOUN
ejpam-5737	477	23	under	under	ADP
ejpam-5737	477	24	adaptive	adaptive	ADJ
ejpam-5737	477	25	progressive	progressive	ADJ
ejpam-5737	477	26	type	type	NOUN
ejpam-5737	477	27	-	-	PUNCT
ejpam-5737	477	28	ii	ii	NOUN
ejpam-5737	477	29	censored	censor	VERB
ejpam-5737	477	30	data	datum	NOUN
ejpam-5737	477	31	with	with	ADP
ejpam-5737	477	32	covid-19	covid-19	PROPN
ejpam-5737	477	33	.	.	PROPN
ejpam-5737	477	34	journal	journal	PROPN
ejpam-5737	477	35	of	of	ADP
ejpam-5737	477	36	reliability	reliability	NOUN
ejpam-5737	477	37	and	and	CCONJ
ejpam-5737	477	38	statistical	statistical	ADJ
ejpam-5737	477	39	studies	study	NOUN
ejpam-5737	477	40	,	,	PUNCT
ejpam-5737	477	41	505	505	NUM
ejpam-5737	477	42	-	-	SYM
ejpam-5737	477	43	534	534	NUM
ejpam-5737	477	44	,	,	PUNCT
ejpam-5737	477	45	2022	2022	NUM
ejpam-5737	477	46	.	.	PUNCT
ejpam-5737	478	1	[	[	X
ejpam-5737	478	2	24	24	NUM
ejpam-5737	478	3	]	]	X
ejpam-5737	478	4	m	m	VERB
ejpam-5737	478	5	m	m	VERB
ejpam-5737	478	6	amein	amein	ADJ
ejpam-5737	478	7	,	,	PUNCT
ejpam-5737	478	8	m	m	PROPN
ejpam-5737	478	9	el	el	NOUN
ejpam-5737	478	10	-	-	PUNCT
ejpam-5737	478	11	saady	saady	PROPN
ejpam-5737	478	12	,	,	PUNCT
ejpam-5737	478	13	m	m	VERB
ejpam-5737	478	14	m	m	VERB
ejpam-5737	478	15	shrahili	shrahili	NOUN
ejpam-5737	478	16	and	and	CCONJ
ejpam-5737	478	17	a	a	DET
ejpam-5737	478	18	r	r	NOUN
ejpam-5737	478	19	shafay	shafay	NOUN
ejpam-5737	478	20	,	,	PUNCT
ejpam-5737	478	21	statistical	statistical	ADJ
ejpam-5737	478	22	inference	inference	NOUN
ejpam-5737	478	23	for	for	ADP
ejpam-5737	478	24	the	the	DET
ejpam-5737	478	25	gompertz	gompertz	NOUN
ejpam-5737	478	26	distribution	distribution	NOUN
ejpam-5737	478	27	based	base	VERB
ejpam-5737	478	28	on	on	ADP
ejpam-5737	478	29	adaptive	adaptive	ADJ
ejpam-5737	478	30	type	type	NOUN
ejpam-5737	478	31	-	-	PUNCT
ejpam-5737	478	32	ii	ii	NOUN
ejpam-5737	478	33	progressive	progressive	ADJ
ejpam-5737	478	34	censoring	censor	VERB
ejpam-5737	478	35	scheme	scheme	NOUN
ejpam-5737	478	36	.	.	PUNCT
ejpam-5737	479	1	mathematical	mathematical	ADJ
ejpam-5737	479	2	problems	problem	NOUN
ejpam-5737	479	3	in	in	ADP
ejpam-5737	479	4	engineering	engineering	NOUN
ejpam-5737	479	5	,	,	PUNCT
ejpam-5737	479	6	2022	2022	NUM
ejpam-5737	479	7	,	,	PUNCT
ejpam-5737	479	8	article	article	NOUN
ejpam-5737	479	9	i	i	PROPN
ejpam-5737	479	10	d	d	PROPN
ejpam-5737	479	11	1266384	1266384	NUM
ejpam-5737	479	12	,	,	PUNCT
ejpam-5737	479	13	11	11	NUM
ejpam-5737	479	14	,	,	PUNCT
ejpam-5737	479	15	2022	2022	NUM
ejpam-5737	479	16	.	.	PUNCT
ejpam-5737	480	1	[	[	X
ejpam-5737	480	2	25	25	NUM
ejpam-5737	480	3	]	]	X
ejpam-5737	480	4	k	k	PROPN
ejpam-5737	480	5	s	s	PROPN
ejpam-5737	480	6	lomax	lomax	PROPN
ejpam-5737	480	7	,	,	PUNCT
ejpam-5737	480	8	business	business	NOUN
ejpam-5737	480	9	failures	failure	NOUN
ejpam-5737	480	10	:	:	PUNCT
ejpam-5737	480	11	another	another	DET
ejpam-5737	480	12	example	example	NOUN
ejpam-5737	480	13	of	of	ADP
ejpam-5737	480	14	the	the	DET
ejpam-5737	480	15	analysis	analysis	NOUN
ejpam-5737	480	16	of	of	ADP
ejpam-5737	480	17	failure	failure	NOUN
ejpam-5737	480	18	data	datum	NOUN
ejpam-5737	480	19	.	.	PUNCT
ejpam-5737	481	1	journal	journal	NOUN
ejpam-5737	481	2	of	of	ADP
ejpam-5737	481	3	the	the	DET
ejpam-5737	481	4	american	american	PROPN
ejpam-5737	481	5	statistical	statistical	PROPN
ejpam-5737	481	6	association	association	PROPN
ejpam-5737	481	7	,	,	PUNCT
ejpam-5737	481	8	49(268	49(268	PROPN
ejpam-5737	481	9	):	):	PUNCT
ejpam-5737	481	10	847	847	NUM
ejpam-5737	481	11	-	-	SYM
ejpam-5737	481	12	852	852	NUM
ejpam-5737	481	13	,	,	PUNCT
ejpam-5737	481	14	1954	1954	NUM
ejpam-5737	481	15	.	.	PUNCT
ejpam-5737	482	1	[	[	X
ejpam-5737	482	2	26	26	NUM
ejpam-5737	482	3	]	]	PUNCT
ejpam-5737	482	4	m	m	AUX
ejpam-5737	482	5	chahkandi	chahkandi	ADJ
ejpam-5737	482	6	and	and	CCONJ
ejpam-5737	482	7	m	m	AUX
ejpam-5737	482	8	ganjali	ganjali	ADJ
ejpam-5737	482	9	,	,	PUNCT
ejpam-5737	482	10	on	on	ADP
ejpam-5737	482	11	some	some	DET
ejpam-5737	482	12	lifetime	lifetime	NOUN
ejpam-5737	482	13	distributions	distribution	NOUN
ejpam-5737	482	14	with	with	ADP
ejpam-5737	482	15	decreasing	decrease	VERB
ejpam-5737	482	16	failure	failure	NOUN
ejpam-5737	482	17	rate	rate	NOUN
ejpam-5737	482	18	.	.	PUNCT
ejpam-5737	483	1	computational	computational	ADJ
ejpam-5737	483	2	statistics	statistic	NOUN
ejpam-5737	483	3	&	&	CCONJ
ejpam-5737	483	4	data	datum	NOUN
ejpam-5737	483	5	analysis	analysis	NOUN
ejpam-5737	483	6	,	,	PUNCT
ejpam-5737	483	7	53	53	NUM
ejpam-5737	483	8	:	:	SYM
ejpam-5737	483	9	4433	4433	NUM
ejpam-5737	483	10	-	-	SYM
ejpam-5737	483	11	4440	4440	NUM
ejpam-5737	483	12	,	,	PUNCT
ejpam-5737	483	13	2009	2009	NUM
ejpam-5737	483	14	.	.	PUNCT
ejpam-5737	484	1	[	[	X
ejpam-5737	484	2	27	27	NUM
ejpam-5737	484	3	]	]	X
ejpam-5737	484	4	m	m	PROPN
ejpam-5737	484	5	c	c	PROPN
ejpam-5737	484	6	bryson	bryson	PROPN
ejpam-5737	484	7	,	,	PUNCT
ejpam-5737	484	8	heavy	heavy	ADJ
ejpam-5737	484	9	-	-	PUNCT
ejpam-5737	484	10	tailed	tail	VERB
ejpam-5737	484	11	distributions	distribution	NOUN
ejpam-5737	484	12	:	:	PUNCT
ejpam-5737	484	13	properties	property	NOUN
ejpam-5737	484	14	and	and	CCONJ
ejpam-5737	484	15	tests	test	NOUN
ejpam-5737	484	16	.	.	PUNCT
ejpam-5737	485	1	technometrics	technometric	NOUN
ejpam-5737	485	2	,	,	PUNCT
ejpam-5737	485	3	16	16	NUM
ejpam-5737	485	4	:	:	SYM
ejpam-5737	485	5	61	61	NUM
ejpam-5737	485	6	-	-	SYM
ejpam-5737	485	7	68	68	NUM
ejpam-5737	485	8	,	,	PUNCT
ejpam-5737	485	9	1974	1974	NUM
ejpam-5737	485	10	.	.	PUNCT
ejpam-5737	486	1	[	[	X
ejpam-5737	486	2	28	28	NUM
ejpam-5737	486	3	]	]	X
ejpam-5737	486	4	b	b	PROPN
ejpam-5737	486	5	c	c	PROPN
ejpam-5737	486	6	arnold	arnold	PROPN
ejpam-5737	486	7	,	,	PUNCT
ejpam-5737	486	8	the	the	DET
ejpam-5737	486	9	pareto	pareto	ADJ
ejpam-5737	486	10	distributions	distribution	NOUN
ejpam-5737	486	11	.	.	PUNCT
ejpam-5737	487	1	fairland	fairland	PROPN
ejpam-5737	487	2	,	,	PUNCT
ejpam-5737	487	3	md	md	PROPN
ejpam-5737	487	4	:	:	PUNCT
ejpam-5737	487	5	international	international	ADJ
ejpam-5737	487	6	co	co	ADJ
ejpam-5737	487	7	-	-	ADJ
ejpam-5737	487	8	operative	operative	ADJ
ejpam-5737	487	9	publishing	publishing	NOUN
ejpam-5737	487	10	house	house	NOUN
ejpam-5737	487	11	;	;	PUNCT
ejpam-5737	487	12	1983	1983	NUM
ejpam-5737	487	13	.	.	PUNCT
ejpam-5737	488	1	[	[	X
ejpam-5737	488	2	29	29	NUM
ejpam-5737	488	3	]	]	PUNCT
ejpam-5737	488	4	n	n	PRON
ejpam-5737	488	5	johnson	johnson	PROPN
ejpam-5737	488	6	and	and	CCONJ
ejpam-5737	488	7	s.	s.	PROPN
ejpam-5737	488	8	kotz	kotz	PROPN
ejpam-5737	488	9	,	,	PUNCT
ejpam-5737	488	10	balakrishnan	balakrishnan	PROPN
ejpam-5737	488	11	n.	n.	PROPN
ejpam-5737	488	12	continuous	continuous	ADJ
ejpam-5737	488	13	univariate	univariate	ADJ
ejpam-5737	488	14	distribution	distribution	NOUN
ejpam-5737	488	15	.	.	PUNCT
ejpam-5737	489	1	new	new	PROPN
ejpam-5737	489	2	york	york	PROPN
ejpam-5737	489	3	:	:	PUNCT
ejpam-5737	489	4	john	john	PROPN
ejpam-5737	489	5	wiley	wiley	PROPN
ejpam-5737	489	6	and	and	CCONJ
ejpam-5737	489	7	sons	son	NOUN
ejpam-5737	489	8	;	;	PUNCT
ejpam-5737	489	9	1994	1994	NUM
ejpam-5737	489	10	.	.	PUNCT
ejpam-5737	490	1	[	[	X
ejpam-5737	490	2	30	30	NUM
ejpam-5737	490	3	]	]	X
ejpam-5737	490	4	a	a	DET
ejpam-5737	490	5	balkema	balkema	NOUN
ejpam-5737	490	6	and	and	CCONJ
ejpam-5737	490	7	l	l	PROPN
ejpam-5737	490	8	de	de	X
ejpam-5737	490	9	haan	haan	PROPN
ejpam-5737	490	10	,	,	PUNCT
ejpam-5737	490	11	residual	residual	ADJ
ejpam-5737	490	12	life	life	NOUN
ejpam-5737	490	13	time	time	NOUN
ejpam-5737	490	14	at	at	ADP
ejpam-5737	490	15	great	great	ADJ
ejpam-5737	490	16	age	age	NOUN
ejpam-5737	490	17	.	.	PUNCT
ejpam-5737	491	1	annals	annal	NOUN
ejpam-5737	491	2	of	of	ADP
ejpam-5737	491	3	probability	probability	NOUN
ejpam-5737	491	4	,	,	PUNCT
ejpam-5737	491	5	2(1.5	2(1.5	NUM
ejpam-5737	491	6	):	):	PUNCT
ejpam-5737	491	7	792	792	NUM
ejpam-5737	491	8	-	-	SYM
ejpam-5737	491	9	804	804	NUM
ejpam-5737	491	10	,	,	PUNCT
ejpam-5737	491	11	1974	1974	NUM
ejpam-5737	491	12	.	.	PUNCT
ejpam-5737	492	1	[	[	X
ejpam-5737	492	2	31	31	NUM
ejpam-5737	492	3	]	]	X
ejpam-5737	492	4	m	m	VERB
ejpam-5737	492	5	ahsanullah	ahsanullah	ADJ
ejpam-5737	492	6	,	,	PUNCT
ejpam-5737	492	7	record	record	NOUN
ejpam-5737	492	8	values	value	NOUN
ejpam-5737	492	9	of	of	ADP
ejpam-5737	492	10	lomax	lomax	PROPN
ejpam-5737	492	11	distribution	distribution	NOUN
ejpam-5737	492	12	.	.	PUNCT
ejpam-5737	493	1	statistica	statistica	PROPN
ejpam-5737	493	2	nederlandica	nederlandica	PROPN
ejpam-5737	493	3	,	,	PUNCT
ejpam-5737	493	4	41(1.1	41(1.1	NUM
ejpam-5737	493	5	)	)	PUNCT
ejpam-5737	493	6	,	,	PUNCT
ejpam-5737	493	7	21	21	NUM
ejpam-5737	493	8	-	-	SYM
ejpam-5737	493	9	2	2	NUM
ejpam-5737	493	10	,	,	PUNCT
ejpam-5737	493	11	1991	1991	NUM
ejpam-5737	493	12	)	)	PUNCT
ejpam-5737	493	13	.	.	PUNCT
ejpam-5737	494	1	[	[	X
ejpam-5737	494	2	32	32	NUM
ejpam-5737	494	3	]	]	PUNCT
ejpam-5737	494	4	n	n	X
ejpam-5737	494	5	balakrishnan	balakrishnan	PROPN
ejpam-5737	494	6	,	,	PUNCT
ejpam-5737	494	7	m	m	VERB
ejpam-5737	494	8	ahsanullah	ahsanullah	VERB
ejpam-5737	494	9	and	and	CCONJ
ejpam-5737	494	10	p	p	NOUN
ejpam-5737	494	11	s	s	PROPN
ejpam-5737	494	12	chan	chan	PROPN
ejpam-5737	494	13	,	,	PUNCT
ejpam-5737	494	14	relations	relation	NOUN
ejpam-5737	494	15	for	for	ADP
ejpam-5737	494	16	single	single	ADJ
ejpam-5737	494	17	and	and	CCONJ
ejpam-5737	494	18	product	product	NOUN
ejpam-5737	494	19	moments	moment	NOUN
ejpam-5737	494	20	of	of	ADP
ejpam-5737	494	21	record	record	NOUN
ejpam-5737	494	22	values	value	NOUN
ejpam-5737	494	23	from	from	ADP
ejpam-5737	494	24	gumbel	gumbel	PROPN
ejpam-5737	494	25	distribution	distribution	NOUN
ejpam-5737	494	26	.	.	PUNCT
ejpam-5737	495	1	statistics	statistic	NOUN
ejpam-5737	495	2	&	&	CCONJ
ejpam-5737	495	3	probability	probability	NOUN
ejpam-5737	495	4	letters	letter	NOUN
ejpam-5737	495	5	,	,	PUNCT
ejpam-5737	495	6	15(3	15(3	NUM
ejpam-5737	495	7	):	):	PUNCT
ejpam-5737	495	8	223	223	NUM
ejpam-5737	495	9	-	-	SYM
ejpam-5737	495	10	227	227	NUM
ejpam-5737	495	11	,	,	PUNCT
ejpam-5737	495	12	1992	1992	NUM
ejpam-5737	495	13	.	.	PUNCT
ejpam-5737	496	1	[	[	X
ejpam-5737	496	2	33	33	NUM
ejpam-5737	496	3	]	]	PUNCT
ejpam-5737	496	4	a	a	DET
ejpam-5737	496	5	childs	child	NOUN
ejpam-5737	496	6	,	,	PUNCT
ejpam-5737	496	7	n	n	CCONJ
ejpam-5737	496	8	balakrishnan	balakrishnan	NOUN
ejpam-5737	496	9	and	and	CCONJ
ejpam-5737	496	10	m	m	PROPN
ejpam-5737	496	11	moshref	moshref	ADJ
ejpam-5737	496	12	,	,	PUNCT
ejpam-5737	496	13	order	order	NOUN
ejpam-5737	496	14	statistics	statistic	NOUN
ejpam-5737	496	15	from	from	ADP
ejpam-5737	496	16	non	non	ADJ
ejpam-5737	496	17	-	-	ADJ
ejpam-5737	496	18	identical	identical	ADJ
ejpam-5737	496	19	righttruncated	righttruncate	VERB
ejpam-5737	496	20	lomax	lomax	PROPN
ejpam-5737	496	21	random	random	ADJ
ejpam-5737	496	22	variables	variable	NOUN
ejpam-5737	496	23	with	with	ADP
ejpam-5737	496	24	applications	application	NOUN
ejpam-5737	496	25	.	.	PUNCT
ejpam-5737	497	1	statistical	statistical	ADJ
ejpam-5737	497	2	papers	paper	NOUN
ejpam-5737	497	3	,	,	PUNCT
ejpam-5737	497	4	42(1.2	42(1.2	NUM
ejpam-5737	497	5	):	):	PUNCT
ejpam-5737	497	6	187206	187206	NUM
ejpam-5737	497	7	,	,	PUNCT
ejpam-5737	497	8	2001	2001	NUM
ejpam-5737	497	9	.	.	PUNCT
ejpam-5737	498	1	[	[	X
ejpam-5737	498	2	34	34	NUM
ejpam-5737	498	3	]	]	X
ejpam-5737	498	4	h	h	NOUN
ejpam-5737	498	5	a	a	DET
ejpam-5737	498	6	howlader	howlader	NOUN
ejpam-5737	498	7	and	and	CCONJ
ejpam-5737	498	8	a	a	DET
ejpam-5737	498	9	m	m	NOUN
ejpam-5737	498	10	hossain	hossain	NOUN
ejpam-5737	498	11	,	,	PUNCT
ejpam-5737	498	12	bayesian	bayesian	NOUN
ejpam-5737	498	13	survival	survival	NOUN
ejpam-5737	498	14	estimation	estimation	NOUN
ejpam-5737	498	15	of	of	ADP
ejpam-5737	498	16	pareto	pareto	ADJ
ejpam-5737	498	17	distribution	distribution	NOUN
ejpam-5737	498	18	of	of	ADP
ejpam-5737	498	19	the	the	DET
ejpam-5737	498	20	second	second	ADJ
ejpam-5737	498	21	kind	kind	NOUN
ejpam-5737	498	22	based	base	VERB
ejpam-5737	498	23	on	on	ADP
ejpam-5737	498	24	failure	failure	NOUN
ejpam-5737	498	25	censored	censor	VERB
ejpam-5737	498	26	data	datum	NOUN
ejpam-5737	498	27	.	.	PUNCT
ejpam-5737	499	1	computational	computational	ADJ
ejpam-5737	499	2	statistics	statistic	NOUN
ejpam-5737	499	3	and	and	CCONJ
ejpam-5737	499	4	data	datum	NOUN
ejpam-5737	499	5	s.	s.	PROPN
ejpam-5737	499	6	m.	m.	PROPN
ejpam-5737	499	7	ahmed	ahmed	PROPN
ejpam-5737	499	8	,	,	PUNCT
ejpam-5737	499	9	g.	g.	PROPN
ejpam-5737	499	10	m.	m.	PROPN
ejpam-5737	499	11	ismail	ismail	PROPN
ejpam-5737	499	12	/	/	SYM
ejpam-5737	499	13	eur	eur	PROPN
ejpam-5737	499	14	.	.	PUNCT
ejpam-5737	500	1	j.	j.	PROPN
ejpam-5737	500	2	pure	pure	PROPN
ejpam-5737	500	3	appl	appl	PROPN
ejpam-5737	500	4	.	.	PROPN
ejpam-5737	500	5	math	math	PROPN
ejpam-5737	500	6	,	,	PUNCT
ejpam-5737	500	7	18	18	NUM
ejpam-5737	500	8	(	(	PUNCT
ejpam-5737	500	9	1	1	NUM
ejpam-5737	500	10	)	)	PUNCT
ejpam-5737	500	11	(	(	PUNCT
ejpam-5737	500	12	2025	2025	NUM
ejpam-5737	500	13	)	)	PUNCT
ejpam-5737	500	14	,	,	PUNCT
ejpam-5737	500	15	5737	5737	NUM
ejpam-5737	500	16	22	22	NUM
ejpam-5737	500	17	of	of	ADP
ejpam-5737	500	18	22	22	NUM
ejpam-5737	500	19	analysis	analysis	NOUN
ejpam-5737	500	20	,	,	PUNCT
ejpam-5737	500	21	8(1.3	8(1.3	NUM
ejpam-5737	500	22	):	):	PUNCT
ejpam-5737	500	23	301	301	NUM
ejpam-5737	500	24	-	-	SYM
ejpam-5737	500	25	314	314	NUM
ejpam-5737	500	26	,	,	PUNCT
ejpam-5737	500	27	2002	2002	NUM
ejpam-5737	500	28	.	.	PUNCT
ejpam-5737	501	1	[	[	X
ejpam-5737	501	2	35	35	NUM
ejpam-5737	501	3	]	]	SYM
ejpam-5737	501	4	m	m	PROPN
ejpam-5737	501	5	e	e	NOUN
ejpam-5737	501	6	ghitany	ghitany	NOUN
ejpam-5737	501	7	,	,	PUNCT
ejpam-5737	501	8	f	f	PROPN
ejpam-5737	501	9	a	a	DET
ejpam-5737	501	10	al	al	PROPN
ejpam-5737	501	11	-	-	PROPN
ejpam-5737	501	12	awadhi	awadhi	PROPN
ejpam-5737	501	13	and	and	CCONJ
ejpam-5737	501	14	l	l	NOUN
ejpam-5737	501	15	a	a	DET
ejpam-5737	501	16	alkhalfan	alkhalfan	NOUN
ejpam-5737	501	17	,	,	PUNCT
ejpam-5737	501	18	marshall	marshall	NOUN
ejpam-5737	501	19	-	-	PUNCT
ejpam-5737	501	20	olkin	olkin	NOUN
ejpam-5737	501	21	extended	extend	VERB
ejpam-5737	501	22	lomax	lomax	NOUN
ejpam-5737	501	23	distribution	distribution	NOUN
ejpam-5737	501	24	and	and	CCONJ
ejpam-5737	501	25	its	its	PRON
ejpam-5737	501	26	application	application	NOUN
ejpam-5737	501	27	to	to	ADP
ejpam-5737	501	28	censored	censor	VERB
ejpam-5737	501	29	data	datum	NOUN
ejpam-5737	501	30	.	.	PUNCT
ejpam-5737	502	1	communications	communication	NOUN
ejpam-5737	502	2	in	in	ADP
ejpam-5737	502	3	statistics	statistic	NOUN
ejpam-5737	502	4	,	,	PUNCT
ejpam-5737	502	5	36(2.5	36(2.5	NUM
ejpam-5737	502	6	):	):	PUNCT
ejpam-5737	502	7	1855	1855	NUM
ejpam-5737	502	8	-	-	SYM
ejpam-5737	502	9	1866	1866	NUM
ejpam-5737	502	10	,	,	PUNCT
ejpam-5737	502	11	2007	2007	NUM
ejpam-5737	502	12	.	.	PUNCT
ejpam-5737	503	1	[	[	X
ejpam-5737	503	2	36	36	NUM
ejpam-5737	503	3	]	]	PUNCT
ejpam-5737	503	4	a	a	DET
ejpam-5737	503	5	elfattah	elfattah	NOUN
ejpam-5737	503	6	,	,	PUNCT
ejpam-5737	503	7	f	f	PROPN
ejpam-5737	503	8	alaboud	alaboud	PROPN
ejpam-5737	503	9	and	and	CCONJ
ejpam-5737	503	10	a	a	DET
ejpam-5737	503	11	alharby	alharby	NOUN
ejpam-5737	503	12	,	,	PUNCT
ejpam-5737	503	13	on	on	ADP
ejpam-5737	503	14	sample	sample	NOUN
ejpam-5737	503	15	size	size	NOUN
ejpam-5737	503	16	estimation	estimation	NOUN
ejpam-5737	503	17	for	for	ADP
ejpam-5737	503	18	lomax	lomax	PROPN
ejpam-5737	503	19	distribution	distribution	NOUN
ejpam-5737	503	20	.	.	PUNCT
ejpam-5737	504	1	australian	australian	ADJ
ejpam-5737	504	2	journal	journal	NOUN
ejpam-5737	504	3	of	of	ADP
ejpam-5737	504	4	basic	basic	ADJ
ejpam-5737	504	5	and	and	CCONJ
ejpam-5737	504	6	applied	applied	ADJ
ejpam-5737	504	7	sciences	science	NOUN
ejpam-5737	504	8	,	,	PUNCT
ejpam-5737	504	9	4	4	NUM
ejpam-5737	504	10	:	:	SYM
ejpam-5737	504	11	373	373	NUM
ejpam-5737	504	12	-	-	SYM
ejpam-5737	504	13	378	378	NUM
ejpam-5737	504	14	,	,	PUNCT
ejpam-5737	504	15	2007	2007	NUM
ejpam-5737	504	16	.	.	PUNCT
ejpam-5737	505	1	[	[	X
ejpam-5737	505	2	37	37	NUM
ejpam-5737	505	3	]	]	X
ejpam-5737	505	4	m	m	PROPN
ejpam-5737	505	5	z	z	NOUN
ejpam-5737	505	6	raqab	raqab	NOUN
ejpam-5737	505	7	,	,	PUNCT
ejpam-5737	505	8	a	a	DET
ejpam-5737	505	9	asgharzadeh	asgharzadeh	NOUN
ejpam-5737	505	10	and	and	CCONJ
ejpam-5737	505	11	r	r	NOUN
ejpam-5737	505	12	valiollahi	valiollahi	NOUN
ejpam-5737	505	13	,	,	PUNCT
ejpam-5737	505	14	prediction	prediction	NOUN
ejpam-5737	505	15	for	for	ADP
ejpam-5737	505	16	pareto	pareto	ADJ
ejpam-5737	505	17	distribution	distribution	NOUN
ejpam-5737	505	18	based	base	VERB
ejpam-5737	505	19	on	on	ADP
ejpam-5737	505	20	progressively	progressively	ADV
ejpam-5737	505	21	type	type	NOUN
ejpam-5737	505	22	-	-	PUNCT
ejpam-5737	505	23	ii	ii	NOUN
ejpam-5737	505	24	censored	censor	VERB
ejpam-5737	505	25	samples	sample	NOUN
ejpam-5737	505	26	.	.	PUNCT
ejpam-5737	506	1	computational	computational	ADJ
ejpam-5737	506	2	statistics	statistic	NOUN
ejpam-5737	506	3	and	and	CCONJ
ejpam-5737	506	4	data	datum	NOUN
ejpam-5737	506	5	analysis	analysis	NOUN
ejpam-5737	506	6	,	,	PUNCT
ejpam-5737	506	7	54	54	NUM
ejpam-5737	506	8	:	:	SYM
ejpam-5737	506	9	1732	1732	NUM
ejpam-5737	506	10	-	-	SYM
ejpam-5737	506	11	1743	1743	NUM
ejpam-5737	506	12	,	,	PUNCT
ejpam-5737	506	13	2010	2010	NUM
ejpam-5737	506	14	.	.	PUNCT
ejpam-5737	507	1	[	[	X
ejpam-5737	507	2	38	38	NUM
ejpam-5737	507	3	]	]	X
ejpam-5737	507	4	e	e	X
ejpam-5737	507	5	cramer	cramer	NOUN
ejpam-5737	507	6	and	and	CCONJ
ejpam-5737	507	7	a	a	DET
ejpam-5737	507	8	b	b	NOUN
ejpam-5737	507	9	schmiedt	schmiedt	NOUN
ejpam-5737	507	10	,	,	PUNCT
ejpam-5737	507	11	progressively	progressively	ADV
ejpam-5737	507	12	type	type	NOUN
ejpam-5737	507	13	-	-	PUNCT
ejpam-5737	507	14	ii	ii	NOUN
ejpam-5737	507	15	censored	censor	VERB
ejpam-5737	507	16	competing	compete	VERB
ejpam-5737	507	17	risks	risk	NOUN
ejpam-5737	507	18	data	datum	NOUN
ejpam-5737	507	19	from	from	ADP
ejpam-5737	507	20	lomax	lomax	PROPN
ejpam-5737	507	21	distributions	distribution	NOUN
ejpam-5737	507	22	.	.	PUNCT
ejpam-5737	508	1	computational	computational	ADJ
ejpam-5737	508	2	statistics	statistic	NOUN
ejpam-5737	508	3	and	and	CCONJ
ejpam-5737	508	4	data	datum	NOUN
ejpam-5737	508	5	analysis	analysis	NOUN
ejpam-5737	508	6	,	,	PUNCT
ejpam-5737	508	7	55(1.3	55(1.3	NUM
ejpam-5737	508	8	):	):	PUNCT
ejpam-5737	508	9	12851303	12851303	NUM
ejpam-5737	508	10	,	,	PUNCT
ejpam-5737	508	11	2011	2011	NUM
ejpam-5737	508	12	.	.	PUNCT
ejpam-5737	509	1	[	[	X
ejpam-5737	509	2	39	39	NUM
ejpam-5737	509	3	]	]	PUNCT
ejpam-5737	509	4	a	a	DET
ejpam-5737	509	5	asgharzadeh	asgharzadeh	NOUN
ejpam-5737	509	6	and	and	CCONJ
ejpam-5737	509	7	r	r	NOUN
ejpam-5737	509	8	valiollahi	valiollahi	NOUN
ejpam-5737	509	9	,	,	PUNCT
ejpam-5737	509	10	estimation	estimation	NOUN
ejpam-5737	509	11	of	of	ADP
ejpam-5737	509	12	the	the	DET
ejpam-5737	509	13	scale	scale	NOUN
ejpam-5737	509	14	parameter	parameter	NOUN
ejpam-5737	509	15	of	of	ADP
ejpam-5737	509	16	the	the	DET
ejpam-5737	509	17	lomax	lomax	PROPN
ejpam-5737	509	18	distribution	distribution	NOUN
ejpam-5737	509	19	under	under	ADP
ejpam-5737	509	20	progressive	progressive	ADJ
ejpam-5737	509	21	censoring	censor	VERB
ejpam-5737	509	22	.	.	PUNCT
ejpam-5737	510	1	international	international	ADJ
ejpam-5737	510	2	journal	journal	PROPN
ejpam-5737	510	3	of	of	ADP
ejpam-5737	510	4	economics	economic	NOUN
ejpam-5737	510	5	and	and	CCONJ
ejpam-5737	510	6	statistics	statistic	NOUN
ejpam-5737	510	7	,	,	PUNCT
ejpam-5737	510	8	6	6	NUM
ejpam-5737	510	9	:	:	SYM
ejpam-5737	510	10	37	37	NUM
ejpam-5737	510	11	-	-	SYM
ejpam-5737	510	12	48	48	NUM
ejpam-5737	510	13	,	,	PUNCT
ejpam-5737	510	14	2011	2011	NUM
ejpam-5737	510	15	.	.	PUNCT
ejpam-5737	511	1	[	[	X
ejpam-5737	511	2	40	40	NUM
ejpam-5737	511	3	]	]	X
ejpam-5737	511	4	s	s	AUX
ejpam-5737	511	5	m	m	AUX
ejpam-5737	511	6	ahmed	ahme	VERB
ejpam-5737	511	7	,	,	PUNCT
ejpam-5737	511	8	constant	constant	ADJ
ejpam-5737	511	9	-	-	PUNCT
ejpam-5737	511	10	stress	stress	NOUN
ejpam-5737	511	11	partially	partially	ADV
ejpam-5737	511	12	accelerated	accelerate	VERB
ejpam-5737	511	13	life	life	NOUN
ejpam-5737	511	14	testing	testing	NOUN
ejpam-5737	511	15	for	for	ADP
ejpam-5737	511	16	weibull	weibull	PROPN
ejpam-5737	511	17	inverted	invert	VERB
ejpam-5737	511	18	exponential	exponential	ADJ
ejpam-5737	511	19	distribution	distribution	NOUN
ejpam-5737	511	20	with	with	ADP
ejpam-5737	511	21	censored	censored	ADJ
ejpam-5737	511	22	data	datum	NOUN
ejpam-5737	511	23	.	.	PUNCT
ejpam-5737	512	1	iraqi	iraqi	ADJ
ejpam-5737	512	2	journal	journal	PROPN
ejpam-5737	512	3	for	for	ADP
ejpam-5737	512	4	computer	computer	NOUN
ejpam-5737	512	5	science	science	NOUN
ejpam-5737	512	6	and	and	CCONJ
ejpam-5737	512	7	mathematics	mathematic	NOUN
ejpam-5737	512	8	,	,	PUNCT
ejpam-5737	512	9	5(2	5(2	NUM
ejpam-5737	512	10	):	):	PUNCT
ejpam-5737	512	11	94	94	NUM
ejpam-5737	512	12	-	-	SYM
ejpam-5737	512	13	111	111	NUM
ejpam-5737	512	14	,	,	PUNCT
ejpam-5737	512	15	2023	2023	NUM
ejpam-5737	512	16	.	.	PUNCT
ejpam-5737	513	1	[	[	X
ejpam-5737	513	2	41	41	NUM
ejpam-5737	513	3	]	]	X
ejpam-5737	513	4	s	s	PART
ejpam-5737	513	5	m	m	AUX
ejpam-5737	513	6	ahmed	ahme	VERB
ejpam-5737	513	7	and	and	CCONJ
ejpam-5737	513	8	a	a	DET
ejpam-5737	513	9	mustafa	mustafa	PROPN
ejpam-5737	513	10	,	,	PUNCT
ejpam-5737	513	11	estimation	estimation	NOUN
ejpam-5737	513	12	of	of	ADP
ejpam-5737	513	13	the	the	DET
ejpam-5737	513	14	coefficients	coefficient	NOUN
ejpam-5737	513	15	of	of	ADP
ejpam-5737	513	16	variation	variation	NOUN
ejpam-5737	513	17	for	for	ADP
ejpam-5737	513	18	in	in	ADP
ejpam-5737	513	19	verse	verse	NOUN
ejpam-5737	513	20	power	power	NOUN
ejpam-5737	513	21	lomax	lomax	PROPN
ejpam-5737	513	22	distribution	distribution	NOUN
ejpam-5737	513	23	,	,	PUNCT
ejpam-5737	513	24	aims	aim	VERB
ejpam-5737	513	25	mathematics	mathematic	NOUN
ejpam-5737	513	26	.	.	PUNCT
ejpam-5737	514	1	9(12	9(12	NUM
ejpam-5737	514	2	):	):	PUNCT
ejpam-5737	514	3	33423	33423	NUM
ejpam-5737	514	4	-	-	SYM
ejpam-5737	514	5	33441	33441	NUM
ejpam-5737	514	6	,	,	PUNCT
ejpam-5737	514	7	2024	2024	NUM
ejpam-5737	514	8	.	.	PUNCT
ejpam-5737	515	1	[	[	X
ejpam-5737	515	2	42	42	NUM
ejpam-5737	515	3	]	]	X
ejpam-5737	515	4	s	s	AUX
ejpam-5737	515	5	m	m	AUX
ejpam-5737	515	6	ahmed	ahme	VERB
ejpam-5737	515	7	,	,	PUNCT
ejpam-5737	515	8	m	m	VERB
ejpam-5737	515	9	abdalla	abdalla	NOUN
ejpam-5737	515	10	and	and	CCONJ
ejpam-5737	515	11	a	a	DET
ejpam-5737	515	12	a	a	PRON
ejpam-5737	515	13	farghal	farghal	ADJ
ejpam-5737	515	14	,	,	PUNCT
ejpam-5737	515	15	statistical	statistical	ADJ
ejpam-5737	515	16	inference	inference	NOUN
ejpam-5737	515	17	for	for	ADP
ejpam-5737	515	18	competing	compete	VERB
ejpam-5737	515	19	risks	risk	NOUN
ejpam-5737	515	20	model	model	NOUN
ejpam-5737	515	21	with	with	ADP
ejpam-5737	515	22	type	type	NOUN
ejpam-5737	515	23	-	-	PUNCT
ejpam-5737	515	24	ii	ii	NOUN
ejpam-5737	515	25	generalized	generalize	VERB
ejpam-5737	515	26	hybrid	hybrid	NOUN
ejpam-5737	515	27	censored	censor	VERB
ejpam-5737	515	28	of	of	ADP
ejpam-5737	515	29	inverse	inverse	NOUN
ejpam-5737	515	30	lomax	lomax	PROPN
ejpam-5737	515	31	distribution	distribution	NOUN
ejpam-5737	515	32	with	with	ADP
ejpam-5737	515	33	applications	application	NOUN
ejpam-5737	515	34	.	.	PUNCT
ejpam-5737	516	1	alexandria	alexandria	PROPN
ejpam-5737	516	2	engineering	engineering	PROPN
ejpam-5737	516	3	journal	journal	PROPN
ejpam-5737	516	4	,	,	PUNCT
ejpam-5737	516	5	118:132	118:132	PROPN
ejpam-5737	516	6	-	-	SYM
ejpam-5737	516	7	146	146	NUM
ejpam-5737	516	8	,	,	PUNCT
ejpam-5737	516	9	2025	2025	NUM
ejpam-5737	516	10	.	.	PUNCT
ejpam-5737	517	1	[	[	X
ejpam-5737	517	2	43	43	NUM
ejpam-5737	517	3	]	]	SYM
ejpam-5737	517	4	h	h	NOUN
ejpam-5737	517	5	r	r	PROPN
ejpam-5737	517	6	varian	varian	PROPN
ejpam-5737	517	7	,	,	PUNCT
ejpam-5737	517	8	a	a	DET
ejpam-5737	517	9	bayesian	bayesian	NOUN
ejpam-5737	517	10	approach	approach	NOUN
ejpam-5737	517	11	to	to	ADP
ejpam-5737	517	12	real	real	ADJ
ejpam-5737	517	13	estate	estate	NOUN
ejpam-5737	517	14	assessment	assessment	NOUN
ejpam-5737	517	15	,	,	PUNCT
ejpam-5737	517	16	north	north	NOUN
ejpam-5737	517	17	holland	holland	PROPN
ejpam-5737	517	18	,	,	PUNCT
ejpam-5737	517	19	amsterdam	amsterdam	PROPN
ejpam-5737	517	20	,	,	PUNCT
ejpam-5737	517	21	195	195	NUM
ejpam-5737	517	22	-	-	SYM
ejpam-5737	517	23	208	208	NUM
ejpam-5737	517	24	,	,	PUNCT
ejpam-5737	517	25	1975	1975	NUM
ejpam-5737	517	26	.	.	PUNCT
ejpam-5737	518	1	[	[	X
ejpam-5737	518	2	44	44	NUM
ejpam-5737	518	3	]	]	SYM
ejpam-5737	518	4	b	b	X
ejpam-5737	518	5	efron	efron	PROPN
ejpam-5737	518	6	,	,	PUNCT
ejpam-5737	518	7	the	the	DET
ejpam-5737	518	8	jackknife	jackknife	NOUN
ejpam-5737	518	9	,	,	PUNCT
ejpam-5737	518	10	the	the	DET
ejpam-5737	518	11	bootstrap	bootstrap	NOUN
ejpam-5737	518	12	and	and	CCONJ
ejpam-5737	518	13	other	other	ADJ
ejpam-5737	518	14	resampling	resample	VERB
ejpam-5737	518	15	plans	plan	NOUN
ejpam-5737	518	16	.	.	PUNCT
ejpam-5737	518	17	cbms	cbms	PROPN
ejpam-5737	518	18	-	-	PUNCT
ejpam-5737	518	19	nsf	nsf	ADJ
ejpam-5737	518	20	regional	regional	ADJ
ejpam-5737	518	21	conference	conference	NOUN
ejpam-5737	518	22	series	series	NOUN
ejpam-5737	518	23	in	in	ADP
ejpam-5737	518	24	applied	applied	ADJ
ejpam-5737	518	25	mathematics	mathematic	NOUN
ejpam-5737	518	26	,	,	PUNCT
ejpam-5737	518	27	monograph	monograph	NOUN
ejpam-5737	518	28	38	38	NUM
ejpam-5737	518	29	,	,	PUNCT
ejpam-5737	518	30	siam	siam	PROPN
ejpam-5737	518	31	,	,	PUNCT
ejpam-5737	518	32	philadelphia	philadelphia	PROPN
ejpam-5737	518	33	,	,	PUNCT
ejpam-5737	518	34	1982	1982	NUM
ejpam-5737	518	35	.	.	PUNCT
ejpam-5737	519	1	[	[	X
ejpam-5737	519	2	45	45	NUM
ejpam-5737	519	3	]	]	X
ejpam-5737	519	4	m	m	VERB
ejpam-5737	519	5	h	h	PROPN
ejpam-5737	519	6	chen	chen	PROPN
ejpam-5737	519	7	and	and	CCONJ
ejpam-5737	519	8	q	q	PROPN
ejpam-5737	519	9	m	m	PROPN
ejpam-5737	519	10	shao	shao	PROPN
ejpam-5737	519	11	,	,	PUNCT
ejpam-5737	519	12	monte	monte	PROPN
ejpam-5737	519	13	carlo	carlo	PROPN
ejpam-5737	519	14	estimation	estimation	NOUN
ejpam-5737	519	15	of	of	ADP
ejpam-5737	519	16	bayesian	bayesian	NOUN
ejpam-5737	519	17	credible	credible	ADJ
ejpam-5737	519	18	and	and	CCONJ
ejpam-5737	519	19	hpd	hpd	PROPN
ejpam-5737	519	20	intervals	interval	NOUN
ejpam-5737	519	21	,	,	PUNCT
ejpam-5737	519	22	journal	journal	NOUN
ejpam-5737	519	23	of	of	ADP
ejpam-5737	519	24	computational	computational	ADJ
ejpam-5737	519	25	and	and	CCONJ
ejpam-5737	519	26	graphical	graphical	ADJ
ejpam-5737	519	27	statistics	statistic	NOUN
ejpam-5737	519	28	,	,	PUNCT
ejpam-5737	519	29	8	8	NUM
ejpam-5737	519	30	:	:	SYM
ejpam-5737	519	31	69	69	NUM
ejpam-5737	519	32	-	-	SYM
ejpam-5737	519	33	92	92	NUM
ejpam-5737	519	34	,	,	PUNCT
ejpam-5737	519	35	1999	1999	NUM
ejpam-5737	519	36	.	.	PUNCT
ejpam-5737	520	1	[	[	X
ejpam-5737	520	2	46	46	NUM
ejpam-5737	520	3	]	]	X
ejpam-5737	520	4	w	w	PROPN
ejpam-5737	520	5	b	b	PROPN
ejpam-5737	520	6	nelson	nelson	PROPN
ejpam-5737	520	7	,	,	PUNCT
ejpam-5737	520	8	applied	apply	VERB
ejpam-5737	520	9	life	life	NOUN
ejpam-5737	520	10	data	datum	NOUN
ejpam-5737	520	11	analysis	analysis	NOUN
ejpam-5737	520	12	.	.	PUNCT
ejpam-5737	521	1	new	new	PROPN
ejpam-5737	521	2	york	york	PROPN
ejpam-5737	521	3	:	:	PUNCT
ejpam-5737	521	4	john	john	PROPN
ejpam-5737	521	5	wiley	wiley	PROPN
ejpam-5737	521	6	&	&	CCONJ
ejpam-5737	521	7	sons	son	NOUN
ejpam-5737	521	8	;	;	PUNCT
ejpam-5737	521	9	1982	1982	NUM
ejpam-5737	521	10	.	.	PUNCT