id	sid	tid	token	lemma	pos
ejpam-7126	1	1	european	european	PROPN
ejpam-7126	1	2	journal	journal	PROPN
ejpam-7126	1	3	of	of	ADP
ejpam-7126	1	4	pure	pure	ADJ
ejpam-7126	1	5	and	and	CCONJ
ejpam-7126	1	6	applied	applied	ADJ
ejpam-7126	1	7	mathematics	mathematic	NOUN
ejpam-7126	1	8	2025	2025	NUM
ejpam-7126	1	9	,	,	PUNCT
ejpam-7126	1	10	vol	vol	NOUN
ejpam-7126	1	11	.	.	PROPN
ejpam-7126	1	12	18	18	NUM
ejpam-7126	1	13	,	,	PUNCT
ejpam-7126	1	14	issue	issue	NOUN
ejpam-7126	1	15	4	4	NUM
ejpam-7126	1	16	,	,	PUNCT
ejpam-7126	1	17	article	article	NOUN
ejpam-7126	1	18	number	number	NOUN
ejpam-7126	1	19	7126	7126	NUM
ejpam-7126	1	20	issn	issn	VERB
ejpam-7126	1	21	1307	1307	NUM
ejpam-7126	1	22	-	-	SYM
ejpam-7126	1	23	5543	5543	NUM
ejpam-7126	1	24	–	–	PUNCT
ejpam-7126	1	25	ejpam.com	ejpam.com	X
ejpam-7126	1	26	published	publish	VERB
ejpam-7126	1	27	by	by	ADP
ejpam-7126	1	28	new	new	PROPN
ejpam-7126	1	29	york	york	PROPN
ejpam-7126	1	30	business	business	PROPN
ejpam-7126	1	31	global	global	ADJ
ejpam-7126	1	32	statistical	statistical	ADJ
ejpam-7126	1	33	inference	inference	NOUN
ejpam-7126	1	34	of	of	ADP
ejpam-7126	1	35	accelerated	accelerate	VERB
ejpam-7126	1	36	ishita	ishita	PROPN
ejpam-7126	1	37	model	model	NOUN
ejpam-7126	1	38	based	base	VERB
ejpam-7126	1	39	on	on	ADP
ejpam-7126	1	40	type	type	NOUN
ejpam-7126	1	41	-	-	PUNCT
ejpam-7126	1	42	i	i	PRON
ejpam-7126	1	43	generalized	generalize	VERB
ejpam-7126	1	44	hybrid	hybrid	NOUN
ejpam-7126	1	45	censoring	censor	VERB
ejpam-7126	1	46	data	datum	NOUN
ejpam-7126	1	47	with	with	ADP
ejpam-7126	1	48	applications	application	NOUN
ejpam-7126	1	49	souha	souha	NOUN
ejpam-7126	1	50	k.	k.	PROPN
ejpam-7126	1	51	badr1,∗	badr1,∗	PROPN
ejpam-7126	1	52	1	1	NUM
ejpam-7126	1	53	department	department	NOUN
ejpam-7126	1	54	of	of	ADP
ejpam-7126	1	55	mathematics	mathematic	NOUN
ejpam-7126	1	56	and	and	CCONJ
ejpam-7126	1	57	statistics	statistic	NOUN
ejpam-7126	1	58	,	,	PUNCT
ejpam-7126	1	59	college	college	NOUN
ejpam-7126	1	60	of	of	ADP
ejpam-7126	1	61	science	science	NOUN
ejpam-7126	1	62	,	,	PUNCT
ejpam-7126	1	63	university	university	NOUN
ejpam-7126	1	64	of	of	ADP
ejpam-7126	1	65	jeddah	jeddah	PROPN
ejpam-7126	1	66	,	,	PUNCT
ejpam-7126	1	67	jeddah	jeddah	PROPN
ejpam-7126	1	68	,	,	PUNCT
ejpam-7126	1	69	saudi	saudi	PROPN
ejpam-7126	1	70	arabia	arabia	PROPN
ejpam-7126	1	71	abstract	abstract	NOUN
ejpam-7126	1	72	.	.	PUNCT
ejpam-7126	2	1	in	in	ADP
ejpam-7126	2	2	this	this	DET
ejpam-7126	2	3	paper	paper	NOUN
ejpam-7126	2	4	,	,	PUNCT
ejpam-7126	2	5	we	we	PRON
ejpam-7126	2	6	adopt	adopt	VERB
ejpam-7126	2	7	the	the	DET
ejpam-7126	2	8	ishita	ishita	ADJ
ejpam-7126	2	9	lifetime	lifetime	NOUN
ejpam-7126	2	10	distribution	distribution	NOUN
ejpam-7126	2	11	to	to	PART
ejpam-7126	2	12	analyze	analyze	VERB
ejpam-7126	2	13	biomedical	biomedical	ADJ
ejpam-7126	2	14	science	science	NOUN
ejpam-7126	2	15	and	and	CCONJ
ejpam-7126	2	16	engineering	engineering	NOUN
ejpam-7126	2	17	lifetime	lifetime	NOUN
ejpam-7126	2	18	data	datum	NOUN
ejpam-7126	2	19	under	under	ADP
ejpam-7126	2	20	an	an	DET
ejpam-7126	2	21	accelerated	accelerate	VERB
ejpam-7126	2	22	life	life	NOUN
ejpam-7126	2	23	test	test	NOUN
ejpam-7126	2	24	(	(	PUNCT
ejpam-7126	2	25	alt	alt	NOUN
ejpam-7126	2	26	)	)	PUNCT
ejpam-7126	2	27	model	model	NOUN
ejpam-7126	2	28	.	.	PUNCT
ejpam-7126	3	1	this	this	DET
ejpam-7126	3	2	data	data	NOUN
ejpam-7126	3	3	is	be	AUX
ejpam-7126	3	4	exposed	expose	VERB
ejpam-7126	3	5	concerning	concern	VERB
ejpam-7126	3	6	the	the	DET
ejpam-7126	3	7	mechanism	mechanism	NOUN
ejpam-7126	3	8	of	of	ADP
ejpam-7126	3	9	a	a	DET
ejpam-7126	3	10	type	type	NOUN
ejpam-7126	3	11	-	-	PUNCT
ejpam-7126	3	12	i	i	PRON
ejpam-7126	3	13	generalized	generalize	VERB
ejpam-7126	3	14	hybrid	hybrid	ADJ
ejpam-7126	3	15	censoring	censor	VERB
ejpam-7126	3	16	scheme	scheme	NOUN
ejpam-7126	3	17	under	under	ADP
ejpam-7126	3	18	a	a	DET
ejpam-7126	3	19	partially	partially	ADV
ejpam-7126	3	20	stepstress	stepstress	ADJ
ejpam-7126	3	21	alt	alt	NOUN
ejpam-7126	3	22	model	model	PROPN
ejpam-7126	3	23	.	.	PUNCT
ejpam-7126	4	1	the	the	DET
ejpam-7126	4	2	model	model	NOUN
ejpam-7126	4	3	parameters	parameter	NOUN
ejpam-7126	4	4	and	and	CCONJ
ejpam-7126	4	5	the	the	DET
ejpam-7126	4	6	parameters	parameter	NOUN
ejpam-7126	4	7	of	of	ADP
ejpam-7126	4	8	life	life	NOUN
ejpam-7126	4	9	(	(	PUNCT
ejpam-7126	4	10	survival	survival	NOUN
ejpam-7126	4	11	and	and	CCONJ
ejpam-7126	4	12	hazard	hazard	NOUN
ejpam-7126	4	13	rate	rate	NOUN
ejpam-7126	4	14	function	function	NOUN
ejpam-7126	4	15	)	)	PUNCT
ejpam-7126	4	16	are	be	AUX
ejpam-7126	4	17	estimated	estimate	VERB
ejpam-7126	4	18	using	use	VERB
ejpam-7126	4	19	maximum	maximum	ADJ
ejpam-7126	4	20	likelihood	likelihood	NOUN
ejpam-7126	4	21	and	and	CCONJ
ejpam-7126	4	22	bayesian	bayesian	NOUN
ejpam-7126	4	23	estimation	estimation	NOUN
ejpam-7126	4	24	.	.	PUNCT
ejpam-7126	5	1	also	also	ADV
ejpam-7126	5	2	,	,	PUNCT
ejpam-7126	5	3	the	the	DET
ejpam-7126	5	4	interval	interval	NOUN
ejpam-7126	5	5	estimators	estimator	NOUN
ejpam-7126	5	6	are	be	AUX
ejpam-7126	5	7	formulated	formulate	VERB
ejpam-7126	5	8	with	with	ADP
ejpam-7126	5	9	respect	respect	NOUN
ejpam-7126	5	10	to	to	ADP
ejpam-7126	5	11	the	the	DET
ejpam-7126	5	12	normal	normal	ADJ
ejpam-7126	5	13	distribution	distribution	NOUN
ejpam-7126	5	14	of	of	ADP
ejpam-7126	5	15	the	the	DET
ejpam-7126	5	16	maximum	maximum	ADJ
ejpam-7126	5	17	likelihood	likelihood	NOUN
ejpam-7126	5	18	estimate	estimate	NOUN
ejpam-7126	5	19	,	,	PUNCT
ejpam-7126	5	20	two	two	NUM
ejpam-7126	5	21	parametric	parametric	ADJ
ejpam-7126	5	22	bootstrap	bootstrap	NOUN
ejpam-7126	5	23	confidence	confidence	NOUN
ejpam-7126	5	24	techniques	technique	NOUN
ejpam-7126	5	25	,	,	PUNCT
ejpam-7126	5	26	and	and	CCONJ
ejpam-7126	5	27	bayesian	bayesian	NOUN
ejpam-7126	5	28	credible	credible	ADJ
ejpam-7126	5	29	intervals	interval	NOUN
ejpam-7126	5	30	.	.	PUNCT
ejpam-7126	6	1	two	two	NUM
ejpam-7126	6	2	real	real	ADJ
ejpam-7126	6	3	data	datum	NOUN
ejpam-7126	6	4	sets	set	NOUN
ejpam-7126	6	5	are	be	AUX
ejpam-7126	6	6	analyzed	analyze	VERB
ejpam-7126	6	7	to	to	PART
ejpam-7126	6	8	illustrate	illustrate	VERB
ejpam-7126	6	9	the	the	DET
ejpam-7126	6	10	proposed	propose	VERB
ejpam-7126	6	11	methods	method	NOUN
ejpam-7126	6	12	.	.	PUNCT
ejpam-7126	7	1	monte	monte	PROPN
ejpam-7126	7	2	carlo	carlo	PROPN
ejpam-7126	7	3	simulation	simulation	PROPN
ejpam-7126	7	4	is	be	AUX
ejpam-7126	7	5	used	use	VERB
ejpam-7126	7	6	to	to	PART
ejpam-7126	7	7	compare	compare	VERB
ejpam-7126	7	8	various	various	ADJ
ejpam-7126	7	9	methods	method	NOUN
ejpam-7126	7	10	.	.	PUNCT
ejpam-7126	8	1	2020	2020	NUM
ejpam-7126	8	2	mathematics	mathematic	NOUN
ejpam-7126	8	3	subject	subject	NOUN
ejpam-7126	8	4	classifications	classification	NOUN
ejpam-7126	8	5	:	:	PUNCT
ejpam-7126	8	6	62f10	62f10	NUM
ejpam-7126	8	7	,	,	PUNCT
ejpam-7126	8	8	62f15	62f15	NUM
ejpam-7126	8	9	,	,	PUNCT
ejpam-7126	8	10	62f40	62f40	NUM
ejpam-7126	8	11	key	key	ADJ
ejpam-7126	8	12	words	word	NOUN
ejpam-7126	8	13	and	and	CCONJ
ejpam-7126	8	14	phrases	phrase	NOUN
ejpam-7126	8	15	:	:	PUNCT
ejpam-7126	8	16	bayesian	bayesian	NOUN
ejpam-7126	8	17	estimation	estimation	NOUN
ejpam-7126	8	18	,	,	PUNCT
ejpam-7126	8	19	bootstrap	bootstrap	NOUN
ejpam-7126	8	20	confidence	confidence	NOUN
ejpam-7126	8	21	interval	interval	NOUN
ejpam-7126	8	22	,	,	PUNCT
ejpam-7126	8	23	classical	classical	ADJ
ejpam-7126	8	24	estimation	estimation	NOUN
ejpam-7126	8	25	,	,	PUNCT
ejpam-7126	8	26	generalized	generalize	VERB
ejpam-7126	8	27	hybrid	hybrid	ADJ
ejpam-7126	8	28	censoring	censor	VERB
ejpam-7126	8	29	scheme	scheme	NOUN
ejpam-7126	8	30	,	,	PUNCT
ejpam-7126	8	31	ishita	ishita	ADJ
ejpam-7126	8	32	distribution	distribution	NOUN
ejpam-7126	8	33	,	,	PUNCT
ejpam-7126	8	34	mcmc	mcmc	PROPN
ejpam-7126	8	35	1	1	NUM
ejpam-7126	8	36	.	.	PUNCT
ejpam-7126	9	1	introduction	introduction	NOUN
ejpam-7126	9	2	in	in	ADP
ejpam-7126	9	3	real	real	ADJ
ejpam-7126	9	4	-	-	PUNCT
ejpam-7126	9	5	life	life	NOUN
ejpam-7126	9	6	applications	application	NOUN
ejpam-7126	9	7	such	such	ADJ
ejpam-7126	9	8	as	as	ADP
ejpam-7126	9	9	engineering	engineering	NOUN
ejpam-7126	9	10	,	,	PUNCT
ejpam-7126	9	11	medicine	medicine	NOUN
ejpam-7126	9	12	,	,	PUNCT
ejpam-7126	9	13	insurance	insurance	NOUN
ejpam-7126	9	14	,	,	PUNCT
ejpam-7126	9	15	and	and	CCONJ
ejpam-7126	9	16	finance	finance	NOUN
ejpam-7126	9	17	,	,	PUNCT
ejpam-7126	9	18	the	the	DET
ejpam-7126	9	19	problem	problem	NOUN
ejpam-7126	9	20	of	of	ADP
ejpam-7126	9	21	modeling	modeling	NOUN
ejpam-7126	9	22	and	and	CCONJ
ejpam-7126	9	23	analyzing	analyze	VERB
ejpam-7126	9	24	real	real	ADJ
ejpam-7126	9	25	-	-	PUNCT
ejpam-7126	9	26	life	life	NOUN
ejpam-7126	9	27	data	datum	NOUN
ejpam-7126	9	28	is	be	AUX
ejpam-7126	9	29	crucial	crucial	ADJ
ejpam-7126	9	30	.	.	PUNCT
ejpam-7126	10	1	exponential	exponential	ADJ
ejpam-7126	10	2	and	and	CCONJ
ejpam-7126	10	3	lindley	lindley	NOUN
ejpam-7126	10	4	distributions	distribution	NOUN
ejpam-7126	10	5	are	be	AUX
ejpam-7126	10	6	the	the	DET
ejpam-7126	10	7	most	most	ADV
ejpam-7126	10	8	important	important	ADJ
ejpam-7126	10	9	one	one	NUM
ejpam-7126	10	10	-	-	PUNCT
ejpam-7126	10	11	parameter	parameter	NOUN
ejpam-7126	10	12	lifetime	lifetime	NOUN
ejpam-7126	10	13	distributions	distribution	NOUN
ejpam-7126	10	14	popular	popular	ADJ
ejpam-7126	10	15	for	for	ADP
ejpam-7126	10	16	modeling	model	VERB
ejpam-7126	10	17	biomedical	biomedical	ADJ
ejpam-7126	10	18	science	science	NOUN
ejpam-7126	10	19	and	and	CCONJ
ejpam-7126	10	20	engineering	engineering	NOUN
ejpam-7126	10	21	lifetime	lifetime	NOUN
ejpam-7126	10	22	data	datum	NOUN
ejpam-7126	10	23	,	,	PUNCT
ejpam-7126	10	24	see	see	VERB
ejpam-7126	10	25	lindley	lindley	NOUN
ejpam-7126	10	26	[	[	X
ejpam-7126	10	27	1	1	NUM
ejpam-7126	10	28	]	]	PUNCT
ejpam-7126	10	29	.	.	PUNCT
ejpam-7126	11	1	shanker	shanker	PROPN
ejpam-7126	11	2	et	et	PROPN
ejpam-7126	11	3	al	al	PROPN
ejpam-7126	11	4	.	.	PUNCT
ejpam-7126	12	1	[	[	X
ejpam-7126	12	2	2	2	X
ejpam-7126	12	3	]	]	PUNCT
ejpam-7126	12	4	observed	observe	VERB
ejpam-7126	12	5	that	that	SCONJ
ejpam-7126	12	6	exponential	exponential	NOUN
ejpam-7126	12	7	and	and	CCONJ
ejpam-7126	12	8	lindley	lindley	NOUN
ejpam-7126	12	9	distributions	distribution	NOUN
ejpam-7126	12	10	are	be	AUX
ejpam-7126	12	11	not	not	PART
ejpam-7126	12	12	suitable	suitable	ADJ
ejpam-7126	12	13	for	for	ADP
ejpam-7126	12	14	many	many	ADJ
ejpam-7126	12	15	lifetime	lifetime	NOUN
ejpam-7126	12	16	data	datum	NOUN
ejpam-7126	12	17	due	due	ADP
ejpam-7126	12	18	to	to	ADP
ejpam-7126	12	19	their	their	PRON
ejpam-7126	12	20	nature	nature	NOUN
ejpam-7126	12	21	of	of	ADP
ejpam-7126	12	22	hazard	hazard	NOUN
ejpam-7126	12	23	rate	rate	NOUN
ejpam-7126	12	24	functions	function	NOUN
ejpam-7126	12	25	,	,	PUNCT
ejpam-7126	12	26	their	their	PRON
ejpam-7126	12	27	shapes	shape	NOUN
ejpam-7126	12	28	,	,	PUNCT
ejpam-7126	12	29	and	and	CCONJ
ejpam-7126	12	30	mean	mean	VERB
ejpam-7126	12	31	residual	residual	ADJ
ejpam-7126	12	32	life	life	NOUN
ejpam-7126	12	33	.	.	PUNCT
ejpam-7126	13	1	for	for	ADP
ejpam-7126	13	2	searching	search	VERB
ejpam-7126	13	3	for	for	ADP
ejpam-7126	13	4	a	a	DET
ejpam-7126	13	5	better	well	ADJ
ejpam-7126	13	6	fit	fit	ADJ
ejpam-7126	13	7	lifetime	lifetime	NOUN
ejpam-7126	13	8	distribution	distribution	NOUN
ejpam-7126	13	9	than	than	ADP
ejpam-7126	13	10	exponential	exponential	ADJ
ejpam-7126	13	11	and	and	CCONJ
ejpam-7126	13	12	lindley	lindley	NOUN
ejpam-7126	13	13	,	,	PUNCT
ejpam-7126	13	14	shanker	shanker	NOUN
ejpam-7126	13	15	[	[	X
ejpam-7126	13	16	2	2	NUM
ejpam-7126	13	17	]	]	PUNCT
ejpam-7126	13	18	presented	present	VERB
ejpam-7126	13	19	the	the	DET
ejpam-7126	13	20	akash	akash	NOUN
ejpam-7126	13	21	lifetime	lifetime	NOUN
ejpam-7126	13	22	distribution	distribution	NOUN
ejpam-7126	13	23	.	.	PUNCT
ejpam-7126	14	1	shankar	shankar	PROPN
ejpam-7126	14	2	and	and	CCONJ
ejpam-7126	14	3	shukla	shukla	NOUN
ejpam-7126	15	1	[	[	X
ejpam-7126	15	2	3	3	NUM
ejpam-7126	15	3	]	]	PUNCT
ejpam-7126	15	4	proposed	propose	VERB
ejpam-7126	15	5	a	a	DET
ejpam-7126	15	6	one	one	NUM
ejpam-7126	15	7	-	-	PUNCT
ejpam-7126	15	8	parameter	parameter	NOUN
ejpam-7126	15	9	model	model	NOUN
ejpam-7126	15	10	as	as	ADP
ejpam-7126	15	11	a	a	DET
ejpam-7126	15	12	mixture	mixture	NOUN
ejpam-7126	15	13	of	of	ADP
ejpam-7126	15	14	exponential(β	exponential(β	PROPN
ejpam-7126	15	15	)	)	PUNCT
ejpam-7126	15	16	and	and	CCONJ
ejpam-7126	15	17	gamma	gamma	NOUN
ejpam-7126	15	18	(	(	PUNCT
ejpam-7126	15	19	3	3	NUM
ejpam-7126	15	20	,	,	PUNCT
ejpam-7126	15	21	β	β	NOUN
ejpam-7126	15	22	)	)	PUNCT
ejpam-7126	15	23	distributions	distribution	NOUN
ejpam-7126	15	24	with	with	ADP
ejpam-7126	15	25	mixing	mix	VERB
ejpam-7126	15	26	proportion	proportion	NOUN
ejpam-7126	15	27	β3	β3	NOUN
ejpam-7126	15	28	β3	β3	VERB
ejpam-7126	15	29	+	+	NOUN
ejpam-7126	15	30	2	2	NUM
ejpam-7126	15	31	.	.	PUNCT
ejpam-7126	16	1	this	this	DET
ejpam-7126	16	2	model	model	NOUN
ejpam-7126	16	3	is	be	AUX
ejpam-7126	16	4	known	know	VERB
ejpam-7126	16	5	as	as	ADP
ejpam-7126	16	6	the	the	DET
ejpam-7126	16	7	ishita	ishita	NOUN
ejpam-7126	16	8	distribution	distribution	NOUN
ejpam-7126	16	9	(	(	PUNCT
ejpam-7126	16	10	i	i	NOUN
ejpam-7126	16	11	d	d	PROPN
ejpam-7126	16	12	)	)	PUNCT
ejpam-7126	16	13	and	and	CCONJ
ejpam-7126	16	14	is	be	AUX
ejpam-7126	16	15	∗corresponding	∗corresponde	VERB
ejpam-7126	16	16	author	author	NOUN
ejpam-7126	16	17	.	.	PUNCT
ejpam-7126	17	1	doi	doi	NOUN
ejpam-7126	17	2	:	:	PUNCT
ejpam-7126	17	3	https://doi.org/10.29020/nybg.ejpam.v18i4.7126	https://doi.org/10.29020/nybg.ejpam.v18i4.7126	PROPN
ejpam-7126	17	4	email	email	NOUN
ejpam-7126	17	5	address	address	NOUN
ejpam-7126	17	6	:	:	PUNCT
ejpam-7126	17	7	skbadr@uj.edu.sa	skbadr@uj.edu.sa	PROPN
ejpam-7126	17	8	(	(	PUNCT
ejpam-7126	17	9	s.	s.	PROPN
ejpam-7126	17	10	k.	k.	PROPN
ejpam-7126	17	11	badr	badr	PROPN
ejpam-7126	17	12	)	)	PUNCT
ejpam-7126	17	13	https://www.ejpam.com	https://www.ejpam.com	X
ejpam-7126	18	1	1	1	NUM
ejpam-7126	18	2	copyright	copyright	NOUN
ejpam-7126	18	3	:	:	PUNCT
ejpam-7126	18	4	©	©	PROPN
ejpam-7126	18	5	2025	2025	NUM
ejpam-7126	18	6	the	the	DET
ejpam-7126	18	7	author(s	author(s	NOUN
ejpam-7126	18	8	)	)	PUNCT
ejpam-7126	18	9	.	.	PUNCT
ejpam-7126	19	1	(	(	PUNCT
ejpam-7126	19	2	cc	cc	NOUN
ejpam-7126	19	3	by	by	ADP
ejpam-7126	19	4	-	-	PUNCT
ejpam-7126	19	5	nc	nc	PROPN
ejpam-7126	19	6	4.0	4.0	NUM
ejpam-7126	19	7	)	)	PUNCT
ejpam-7126	20	1	s.	s.	PROPN
ejpam-7126	20	2	k.	k.	PROPN
ejpam-7126	20	3	badr	badr	PROPN
ejpam-7126	20	4	/	/	SYM
ejpam-7126	20	5	eur	eur	PROPN
ejpam-7126	20	6	.	.	PUNCT
ejpam-7126	21	1	j.	j.	PROPN
ejpam-7126	21	2	pure	pure	PROPN
ejpam-7126	21	3	appl	appl	PROPN
ejpam-7126	21	4	.	.	PROPN
ejpam-7126	21	5	math	math	PROPN
ejpam-7126	21	6	,	,	PUNCT
ejpam-7126	21	7	18	18	NUM
ejpam-7126	21	8	(	(	PUNCT
ejpam-7126	21	9	4	4	NUM
ejpam-7126	21	10	)	)	PUNCT
ejpam-7126	21	11	(	(	PUNCT
ejpam-7126	21	12	2025	2025	NUM
ejpam-7126	21	13	)	)	PUNCT
ejpam-7126	21	14	,	,	PUNCT
ejpam-7126	21	15	7126	7126	NUM
ejpam-7126	21	16	2	2	NUM
ejpam-7126	21	17	of	of	ADP
ejpam-7126	21	18	20	20	NUM
ejpam-7126	21	19	used	use	VERB
ejpam-7126	21	20	for	for	ADP
ejpam-7126	21	21	modeling	model	VERB
ejpam-7126	21	22	the	the	DET
ejpam-7126	21	23	lifetime	lifetime	NOUN
ejpam-7126	21	24	data	datum	NOUN
ejpam-7126	21	25	in	in	ADP
ejpam-7126	21	26	biomedical	biomedical	ADJ
ejpam-7126	21	27	sciences	science	NOUN
ejpam-7126	21	28	and	and	CCONJ
ejpam-7126	21	29	engineering	engineering	NOUN
ejpam-7126	21	30	.	.	PUNCT
ejpam-7126	22	1	for	for	ADP
ejpam-7126	22	2	modeling	model	VERB
ejpam-7126	22	3	lifetime	lifetime	NOUN
ejpam-7126	22	4	data	datum	NOUN
ejpam-7126	22	5	in	in	ADP
ejpam-7126	22	6	reliability	reliability	NOUN
ejpam-7126	22	7	and	and	CCONJ
ejpam-7126	22	8	in	in	ADP
ejpam-7126	22	9	terms	term	NOUN
ejpam-7126	22	10	of	of	ADP
ejpam-7126	22	11	its	its	PRON
ejpam-7126	22	12	hazard	hazard	NOUN
ejpam-7126	22	13	rate	rate	NOUN
ejpam-7126	22	14	shapes	shape	NOUN
ejpam-7126	22	15	,	,	PUNCT
ejpam-7126	22	16	this	this	DET
ejpam-7126	22	17	distribution	distribution	NOUN
ejpam-7126	22	18	is	be	AUX
ejpam-7126	22	19	flexible	flexible	ADJ
ejpam-7126	22	20	than	than	ADP
ejpam-7126	22	21	the	the	DET
ejpam-7126	22	22	exponential	exponential	NOUN
ejpam-7126	22	23	,	,	PUNCT
ejpam-7126	22	24	lindley	lindley	NOUN
ejpam-7126	22	25	,	,	PUNCT
ejpam-7126	22	26	and	and	CCONJ
ejpam-7126	22	27	akash	akash	NOUN
ejpam-7126	22	28	distributions	distribution	NOUN
ejpam-7126	22	29	.	.	PUNCT
ejpam-7126	23	1	the	the	DET
ejpam-7126	23	2	i	i	PROPN
ejpam-7126	23	3	d	d	PROPN
ejpam-7126	23	4	has	have	VERB
ejpam-7126	23	5	the	the	DET
ejpam-7126	23	6	advantage	advantage	NOUN
ejpam-7126	23	7	of	of	ADP
ejpam-7126	23	8	increasing	increase	VERB
ejpam-7126	23	9	and	and	CCONJ
ejpam-7126	23	10	decreasing	decrease	VERB
ejpam-7126	23	11	the	the	DET
ejpam-7126	23	12	hazard	hazard	NOUN
ejpam-7126	23	13	rate	rate	NOUN
ejpam-7126	23	14	function	function	NOUN
ejpam-7126	23	15	,	,	PUNCT
ejpam-7126	23	16	making	make	VERB
ejpam-7126	23	17	it	it	PRON
ejpam-7126	23	18	more	more	ADV
ejpam-7126	23	19	flexible	flexible	ADJ
ejpam-7126	23	20	than	than	ADP
ejpam-7126	23	21	the	the	DET
ejpam-7126	23	22	exponential	exponential	NOUN
ejpam-7126	23	23	,	,	PUNCT
ejpam-7126	23	24	akash	akash	NOUN
ejpam-7126	23	25	,	,	PUNCT
ejpam-7126	23	26	and	and	CCONJ
ejpam-7126	23	27	lindley	lindley	NOUN
ejpam-7126	23	28	distributions	distribution	NOUN
ejpam-7126	23	29	.	.	PUNCT
ejpam-7126	24	1	also	also	ADV
ejpam-7126	24	2	,	,	PUNCT
ejpam-7126	24	3	i	i	PRON
ejpam-7126	24	4	d	d	PROPN
ejpam-7126	24	5	is	be	AUX
ejpam-7126	24	6	considered	consider	VERB
ejpam-7126	24	7	a	a	DET
ejpam-7126	24	8	model	model	NOUN
ejpam-7126	24	9	of	of	ADP
ejpam-7126	24	10	the	the	DET
ejpam-7126	24	11	exponential	exponential	ADJ
ejpam-7126	24	12	family	family	NOUN
ejpam-7126	24	13	.	.	PUNCT
ejpam-7126	25	1	different	different	ADJ
ejpam-7126	25	2	author	author	NOUN
ejpam-7126	25	3	developed	develop	VERB
ejpam-7126	25	4	new	new	ADJ
ejpam-7126	25	5	distributions	distribution	NOUN
ejpam-7126	25	6	related	relate	VERB
ejpam-7126	25	7	to	to	ADP
ejpam-7126	25	8	i	i	PROPN
ejpam-7126	25	9	d	d	PROPN
ejpam-7126	25	10	,	,	PUNCT
ejpam-7126	25	11	such	such	ADJ
ejpam-7126	25	12	as	as	ADP
ejpam-7126	25	13	the	the	DET
ejpam-7126	25	14	power	power	NOUN
ejpam-7126	25	15	ishita	ishita	VERB
ejpam-7126	25	16	distribution	distribution	NOUN
ejpam-7126	25	17	by	by	ADP
ejpam-7126	25	18	shukla	shukla	NOUN
ejpam-7126	25	19	and	and	CCONJ
ejpam-7126	25	20	shankar	shankar	PROPN
ejpam-7126	26	1	[	[	X
ejpam-7126	26	2	4	4	NUM
ejpam-7126	26	3	]	]	PUNCT
ejpam-7126	26	4	,	,	PUNCT
ejpam-7126	26	5	the	the	DET
ejpam-7126	26	6	truncated	truncated	ADJ
ejpam-7126	26	7	lifetime	lifetime	NOUN
ejpam-7126	26	8	test	test	NOUN
ejpam-7126	26	9	for	for	ADP
ejpam-7126	26	10	an	an	DET
ejpam-7126	26	11	ishita	ishita	NOUN
ejpam-7126	26	12	distribution	distribution	NOUN
ejpam-7126	26	13	by	by	ADP
ejpam-7126	26	14	al	al	PROPN
ejpam-7126	26	15	-	-	PUNCT
ejpam-7126	26	16	nasser	nasser	PROPN
ejpam-7126	26	17	et	et	PROPN
ejpam-7126	26	18	al	al	PROPN
ejpam-7126	26	19	.	.	PUNCT
ejpam-7126	27	1	[	[	X
ejpam-7126	27	2	5	5	X
ejpam-7126	27	3	]	]	X
ejpam-7126	27	4	poisson	poisson	NOUN
ejpam-7126	27	5	ishita	ishita	NOUN
ejpam-7126	27	6	distribution	distribution	NOUN
ejpam-7126	27	7	by	by	ADP
ejpam-7126	27	8	anwar	anwar	PROPN
ejpam-7126	27	9	et	et	PROPN
ejpam-7126	27	10	al	al	PROPN
ejpam-7126	27	11	.	.	PUNCT
ejpam-7126	28	1	[	[	X
ejpam-7126	28	2	6	6	NUM
ejpam-7126	28	3	]	]	PUNCT
ejpam-7126	28	4	,	,	PUNCT
ejpam-7126	28	5	and	and	CCONJ
ejpam-7126	28	6	new	new	ADJ
ejpam-7126	28	7	size	size	NOUN
ejpam-7126	28	8	-	-	PUNCT
ejpam-7126	28	9	biased	bias	VERB
ejpam-7126	28	10	ishita	ishita	NOUN
ejpam-7126	28	11	distribution	distribution	NOUN
ejpam-7126	28	12	by	by	ADP
ejpam-7126	28	13	al	al	PROPN
ejpam-7126	28	14	-	-	PUNCT
ejpam-7126	28	15	omari	omari	PROPN
ejpam-7126	28	16	et	et	PROPN
ejpam-7126	28	17	al	al	PROPN
ejpam-7126	28	18	.	.	PUNCT
ejpam-7126	29	1	[	[	X
ejpam-7126	29	2	7	7	NUM
ejpam-7126	29	3	]	]	PUNCT
ejpam-7126	29	4	.	.	PUNCT
ejpam-7126	30	1	the	the	DET
ejpam-7126	30	2	random	random	ADJ
ejpam-7126	30	3	variable	variable	NOUN
ejpam-7126	30	4	x	x	PUNCT
ejpam-7126	30	5	is	be	AUX
ejpam-7126	30	6	called	call	VERB
ejpam-7126	30	7	ishita	ishita	PROPN
ejpam-7126	30	8	’s	’s	PART
ejpam-7126	30	9	random	random	ADJ
ejpam-7126	30	10	variable	variable	NOUN
ejpam-7126	30	11	if	if	SCONJ
ejpam-7126	30	12	its	its	PRON
ejpam-7126	30	13	probability	probability	NOUN
ejpam-7126	30	14	density	density	NOUN
ejpam-7126	30	15	function	function	NOUN
ejpam-7126	30	16	(	(	PUNCT
ejpam-7126	30	17	pdf	pdf	NOUN
ejpam-7126	30	18	)	)	PUNCT
ejpam-7126	30	19	is	be	AUX
ejpam-7126	30	20	given	give	VERB
ejpam-7126	30	21	by	by	ADP
ejpam-7126	30	22	f(x	f(x	PROPN
ejpam-7126	30	23	)	)	PUNCT
ejpam-7126	31	1	=	=	SYM
ejpam-7126	31	2	β3	β3	AUX
ejpam-7126	31	3	β3	β3	VERB
ejpam-7126	31	4	+	+	SYM
ejpam-7126	31	5	2	2	NUM
ejpam-7126	31	6	(	(	PUNCT
ejpam-7126	31	7	β	β	X
ejpam-7126	31	8	+	+	CCONJ
ejpam-7126	31	9	x2	x2	ADJ
ejpam-7126	31	10	)	)	PUNCT
ejpam-7126	31	11	exp(−βx	exp(−βx	PROPN
ejpam-7126	31	12	)	)	PUNCT
ejpam-7126	31	13	,	,	PUNCT
ejpam-7126	31	14	x	x	X
ejpam-7126	31	15	>	>	X
ejpam-7126	31	16	0	0	PROPN
ejpam-7126	31	17	,	,	PUNCT
ejpam-7126	31	18	β	β	X
ejpam-7126	31	19	>	>	X
ejpam-7126	31	20	0	0	NUM
ejpam-7126	31	21	,	,	PUNCT
ejpam-7126	31	22	(	(	PUNCT
ejpam-7126	31	23	1	1	X
ejpam-7126	31	24	)	)	PUNCT
ejpam-7126	31	25	where	where	SCONJ
ejpam-7126	31	26	β	β	NOUN
ejpam-7126	31	27	is	be	AUX
ejpam-7126	31	28	scale	scale	NOUN
ejpam-7126	31	29	parameter	parameter	NOUN
ejpam-7126	31	30	.	.	PUNCT
ejpam-7126	32	1	the	the	DET
ejpam-7126	32	2	corresponding	corresponding	ADJ
ejpam-7126	32	3	cumulative	cumulative	ADJ
ejpam-7126	32	4	distribution	distribution	NOUN
ejpam-7126	32	5	function	function	NOUN
ejpam-7126	32	6	(	(	PUNCT
ejpam-7126	32	7	cdf	cdf	PROPN
ejpam-7126	32	8	)	)	PUNCT
ejpam-7126	32	9	and	and	CCONJ
ejpam-7126	32	10	hazard	hazard	NOUN
ejpam-7126	32	11	failure	failure	NOUN
ejpam-7126	32	12	rate	rate	NOUN
ejpam-7126	32	13	function	function	NOUN
ejpam-7126	32	14	(	(	PUNCT
ejpam-7126	32	15	h	h	NOUN
ejpam-7126	32	16	(	(	PUNCT
ejpam-7126	32	17	.	.	PUNCT
ejpam-7126	32	18	)	)	PUNCT
ejpam-7126	32	19	)	)	PUNCT
ejpam-7126	32	20	are	be	AUX
ejpam-7126	32	21	given	give	VERB
ejpam-7126	32	22	by	by	ADP
ejpam-7126	32	23	f	f	PROPN
ejpam-7126	32	24	(	(	PUNCT
ejpam-7126	32	25	x	x	NOUN
ejpam-7126	32	26	)	)	PUNCT
ejpam-7126	32	27	=	=	SYM
ejpam-7126	32	28	1−	1−	NUM
ejpam-7126	32	29	(	(	PUNCT
ejpam-7126	32	30	1	1	NUM
ejpam-7126	32	31	+	+	CCONJ
ejpam-7126	32	32	βx(βx+	βx(βx+	PROPN
ejpam-7126	32	33	2	2	NUM
ejpam-7126	32	34	)	)	PUNCT
ejpam-7126	32	35	β3	β3	VERB
ejpam-7126	32	36	+	+	CCONJ
ejpam-7126	32	37	2	2	NUM
ejpam-7126	32	38	)	)	PUNCT
ejpam-7126	32	39	exp(−βx	exp(−βx	PROPN
ejpam-7126	32	40	)	)	PUNCT
ejpam-7126	32	41	,	,	PUNCT
ejpam-7126	32	42	(	(	PUNCT
ejpam-7126	32	43	2	2	X
ejpam-7126	32	44	)	)	PUNCT
ejpam-7126	32	45	and	and	CCONJ
ejpam-7126	32	46	h(t	h(t	NUM
ejpam-7126	32	47	)	)	PUNCT
ejpam-7126	32	48	=	=	SYM
ejpam-7126	32	49	β4	β4	PROPN
ejpam-7126	32	50	+	+	CCONJ
ejpam-7126	32	51	β3t2	β3t2	PUNCT
ejpam-7126	32	52	β2t2	β2t2	PROPN
ejpam-7126	33	1	+	+	CCONJ
ejpam-7126	33	2	2βt+	2βt+	NUM
ejpam-7126	33	3	β3	β3	VERB
ejpam-7126	33	4	+	+	CCONJ
ejpam-7126	33	5	2	2	NUM
ejpam-7126	33	6	.	.	PUNCT
ejpam-7126	34	1	(	(	PUNCT
ejpam-7126	34	2	3	3	X
ejpam-7126	34	3	)	)	PUNCT
ejpam-7126	34	4	for	for	ADP
ejpam-7126	34	5	a	a	DET
ejpam-7126	34	6	different	different	ADJ
ejpam-7126	34	7	choice	choice	NOUN
ejpam-7126	34	8	of	of	ADP
ejpam-7126	34	9	the	the	DET
ejpam-7126	34	10	parameter	parameter	NOUN
ejpam-7126	34	11	β	β	X
ejpam-7126	35	1	the	the	DET
ejpam-7126	35	2	graph	graph	NOUN
ejpam-7126	35	3	representation	representation	NOUN
ejpam-7126	35	4	of	of	ADP
ejpam-7126	35	5	the	the	DET
ejpam-7126	35	6	pdf	pdf	NOUN
ejpam-7126	35	7	and	and	CCONJ
ejpam-7126	35	8	cdf	cdf	PROPN
ejpam-7126	35	9	of	of	ADP
ejpam-7126	35	10	the	the	DET
ejpam-7126	35	11	ishita	ishita	NOUN
ejpam-7126	35	12	distribution	distribution	NOUN
ejpam-7126	35	13	are	be	AUX
ejpam-7126	35	14	shown	show	VERB
ejpam-7126	35	15	in	in	ADP
ejpam-7126	35	16	figures	figure	NOUN
ejpam-7126	35	17	1	1	NUM
ejpam-7126	35	18	and	and	CCONJ
ejpam-7126	35	19	2	2	NUM
ejpam-7126	35	20	.	.	X
ejpam-7126	35	21	figure	figure	NOUN
ejpam-7126	35	22	1	1	NUM
ejpam-7126	35	23	:	:	PUNCT
ejpam-7126	35	24	the	the	DET
ejpam-7126	35	25	graph	graph	NOUN
ejpam-7126	35	26	of	of	ADP
ejpam-7126	35	27	pdf	pdf	NOUN
ejpam-7126	35	28	of	of	ADP
ejpam-7126	35	29	ishita	ishita	ADJ
ejpam-7126	35	30	distribution	distribution	NOUN
ejpam-7126	35	31	.	.	PUNCT
ejpam-7126	36	1	commonly	commonly	ADV
ejpam-7126	36	2	,	,	PUNCT
ejpam-7126	36	3	in	in	ADP
ejpam-7126	36	4	reliability	reliability	NOUN
ejpam-7126	36	5	analysis	analysis	NOUN
ejpam-7126	36	6	or	or	CCONJ
ejpam-7126	36	7	medical	medical	ADJ
ejpam-7126	36	8	study	study	NOUN
ejpam-7126	36	9	,	,	PUNCT
ejpam-7126	36	10	the	the	DET
ejpam-7126	36	11	lifetime	lifetime	NOUN
ejpam-7126	36	12	data	datum	NOUN
ejpam-7126	36	13	is	be	AUX
ejpam-7126	36	14	collected	collect	VERB
ejpam-7126	36	15	for	for	ADP
ejpam-7126	36	16	some	some	PRON
ejpam-7126	36	17	,	,	PUNCT
ejpam-7126	36	18	but	but	CCONJ
ejpam-7126	36	19	not	not	PART
ejpam-7126	36	20	all	all	PRON
ejpam-7126	36	21	,	,	PUNCT
ejpam-7126	36	22	population	population	NOUN
ejpam-7126	36	23	units	unit	NOUN
ejpam-7126	36	24	under	under	ADP
ejpam-7126	36	25	test	test	NOUN
ejpam-7126	36	26	,	,	PUNCT
ejpam-7126	36	27	which	which	PRON
ejpam-7126	36	28	is	be	AUX
ejpam-7126	36	29	known	know	VERB
ejpam-7126	36	30	as	as	ADP
ejpam-7126	36	31	a	a	DET
ejpam-7126	36	32	censoring	censor	VERB
ejpam-7126	36	33	scheme	scheme	NOUN
ejpam-7126	36	34	(	(	PUNCT
ejpam-7126	36	35	cs	cs	PROPN
ejpam-7126	36	36	)	)	PUNCT
ejpam-7126	36	37	.	.	PUNCT
ejpam-7126	37	1	type	type	NOUN
ejpam-7126	37	2	-	-	PUNCT
ejpam-7126	37	3	i	i	NOUN
ejpam-7126	37	4	and	and	CCONJ
ejpam-7126	37	5	type	type	NOUN
ejpam-7126	37	6	-	-	PUNCT
ejpam-7126	37	7	ii	ii	NOUN
ejpam-7126	37	8	censoring	censor	VERB
ejpam-7126	37	9	schemes	scheme	NOUN
ejpam-7126	37	10	(	(	PUNCT
ejpam-7126	37	11	css	css	ADJ
ejpam-7126	37	12	)	)	PUNCT
ejpam-7126	37	13	are	be	AUX
ejpam-7126	37	14	commonly	commonly	ADV
ejpam-7126	37	15	simple	simple	ADJ
ejpam-7126	37	16	css	css	PROPN
ejpam-7126	37	17	.	.	PUNCT
ejpam-7126	38	1	the	the	DET
ejpam-7126	38	2	test	test	NOUN
ejpam-7126	38	3	time	time	NOUN
ejpam-7126	38	4	in	in	ADP
ejpam-7126	38	5	type	type	NOUN
ejpam-7126	38	6	-	-	PUNCT
ejpam-7126	38	7	i	i	PRON
ejpam-7126	38	8	cs	cs	PROPN
ejpam-7126	38	9	is	be	AUX
ejpam-7126	38	10	constant	constant	ADJ
ejpam-7126	38	11	prior	prior	ADV
ejpam-7126	38	12	to	to	ADP
ejpam-7126	38	13	,	,	PUNCT
ejpam-7126	38	14	but	but	CCONJ
ejpam-7126	38	15	a	a	DET
ejpam-7126	38	16	random	random	ADJ
ejpam-7126	38	17	number	number	NOUN
ejpam-7126	38	18	of	of	ADP
ejpam-7126	38	19	data	datum	NOUN
ejpam-7126	38	20	points	point	NOUN
ejpam-7126	38	21	.	.	PUNCT
ejpam-7126	39	1	in	in	ADP
ejpam-7126	39	2	typeii	typeii	PROPN
ejpam-7126	39	3	cs	cs	PROPN
ejpam-7126	39	4	,	,	PUNCT
ejpam-7126	39	5	constant	constant	ADJ
ejpam-7126	39	6	prior	prior	ADJ
ejpam-7126	39	7	number	number	NOUN
ejpam-7126	39	8	data	datum	NOUN
ejpam-7126	39	9	and	and	CCONJ
ejpam-7126	39	10	a	a	DET
ejpam-7126	39	11	random	random	ADJ
ejpam-7126	39	12	test	test	NOUN
ejpam-7126	39	13	time	time	NOUN
ejpam-7126	39	14	are	be	AUX
ejpam-7126	39	15	used	use	VERB
ejpam-7126	39	16	.	.	PUNCT
ejpam-7126	40	1	when	when	SCONJ
ejpam-7126	40	2	both	both	DET
ejpam-7126	40	3	the	the	DET
ejpam-7126	40	4	total	total	ADJ
ejpam-7126	40	5	test	test	NOUN
ejpam-7126	40	6	time	time	NOUN
ejpam-7126	40	7	τ	τ	PROPN
ejpam-7126	40	8	and	and	CCONJ
ejpam-7126	40	9	the	the	DET
ejpam-7126	40	10	number	number	NOUN
ejpam-7126	40	11	of	of	ADP
ejpam-7126	40	12	data	datum	NOUN
ejpam-7126	40	13	points	point	NOUN
ejpam-7126	40	14	m	m	VERB
ejpam-7126	40	15	are	be	AUX
ejpam-7126	40	16	considered	consider	VERB
ejpam-7126	40	17	,	,	PUNCT
ejpam-7126	40	18	the	the	DET
ejpam-7126	40	19	hybrid	hybrid	NOUN
ejpam-7126	40	20	censoring	censor	VERB
ejpam-7126	40	21	s.	s.	PROPN
ejpam-7126	40	22	k.	k.	PROPN
ejpam-7126	40	23	badr	badr	PROPN
ejpam-7126	40	24	/	/	SYM
ejpam-7126	40	25	eur	eur	PROPN
ejpam-7126	40	26	.	.	PUNCT
ejpam-7126	41	1	j.	j.	PROPN
ejpam-7126	41	2	pure	pure	PROPN
ejpam-7126	41	3	appl	appl	PROPN
ejpam-7126	41	4	.	.	PROPN
ejpam-7126	41	5	math	math	PROPN
ejpam-7126	41	6	,	,	PUNCT
ejpam-7126	41	7	18	18	NUM
ejpam-7126	41	8	(	(	PUNCT
ejpam-7126	41	9	4	4	NUM
ejpam-7126	41	10	)	)	PUNCT
ejpam-7126	41	11	(	(	PUNCT
ejpam-7126	41	12	2025	2025	NUM
ejpam-7126	41	13	)	)	PUNCT
ejpam-7126	41	14	,	,	PUNCT
ejpam-7126	41	15	7126	7126	NUM
ejpam-7126	41	16	3	3	NUM
ejpam-7126	41	17	of	of	ADP
ejpam-7126	41	18	20	20	NUM
ejpam-7126	41	19	figure	figure	NOUN
ejpam-7126	41	20	2	2	NUM
ejpam-7126	41	21	:	:	PUNCT
ejpam-7126	41	22	the	the	DET
ejpam-7126	41	23	graph	graph	NOUN
ejpam-7126	41	24	of	of	ADP
ejpam-7126	41	25	h	h	NOUN
ejpam-7126	41	26	(	(	PUNCT
ejpam-7126	41	27	.	.	PUNCT
ejpam-7126	41	28	)	)	PUNCT
ejpam-7126	41	29	of	of	ADP
ejpam-7126	41	30	ishita	ishita	ADJ
ejpam-7126	41	31	distribution	distribution	NOUN
ejpam-7126	41	32	.	.	PUNCT
ejpam-7126	42	1	scheme	scheme	NOUN
ejpam-7126	42	2	(	(	PUNCT
ejpam-7126	42	3	hcs	hcs	PROPN
ejpam-7126	42	4	)	)	PUNCT
ejpam-7126	42	5	was	be	AUX
ejpam-7126	42	6	considered	consider	VERB
ejpam-7126	42	7	.	.	PUNCT
ejpam-7126	43	1	the	the	DET
ejpam-7126	43	2	test	test	NOUN
ejpam-7126	43	3	is	be	AUX
ejpam-7126	43	4	terminated	terminate	VERB
ejpam-7126	43	5	at	at	ADP
ejpam-7126	43	6	min(τ	min(τ	PROPN
ejpam-7126	43	7	,	,	PUNCT
ejpam-7126	43	8	tm	tm	NOUN
ejpam-7126	43	9	)	)	PUNCT
ejpam-7126	43	10	at	at	ADP
ejpam-7126	43	11	type	type	NOUN
ejpam-7126	43	12	-	-	PUNCT
ejpam-7126	43	13	i	i	PRON
ejpam-7126	43	14	hcs	hcs	VERB
ejpam-7126	43	15	and	and	CCONJ
ejpam-7126	43	16	terminated	terminate	VERB
ejpam-7126	43	17	at	at	ADP
ejpam-7126	43	18	max(τ	max(τ	PROPN
ejpam-7126	43	19	,	,	PUNCT
ejpam-7126	43	20	tm	tm	NOUN
ejpam-7126	43	21	)	)	PUNCT
ejpam-7126	43	22	at	at	ADP
ejpam-7126	43	23	type	type	NOUN
ejpam-7126	43	24	-	-	PUNCT
ejpam-7126	43	25	ii	ii	NOUN
ejpam-7126	43	26	hcs	hcs	NOUN
ejpam-7126	43	27	,	,	PUNCT
ejpam-7126	43	28	where	where	SCONJ
ejpam-7126	43	29	tm	tm	PROPN
ejpam-7126	43	30	is	be	AUX
ejpam-7126	43	31	m−th	m−th	PROPN
ejpam-7126	43	32	failure	failure	NOUN
ejpam-7126	43	33	time	time	NOUN
ejpam-7126	43	34	and	and	CCONJ
ejpam-7126	43	35	τ	τ	PROPN
ejpam-7126	43	36	is	be	AUX
ejpam-7126	43	37	the	the	DET
ejpam-7126	43	38	edial	edial	ADJ
ejpam-7126	43	39	test	test	NOUN
ejpam-7126	43	40	time	time	NOUN
ejpam-7126	43	41	.	.	PUNCT
ejpam-7126	44	1	for	for	ADP
ejpam-7126	44	2	more	more	ADJ
ejpam-7126	44	3	information	information	NOUN
ejpam-7126	44	4	about	about	ADP
ejpam-7126	44	5	type	type	NOUN
ejpam-7126	44	6	-	-	PUNCT
ejpam-7126	44	7	i	i	PRON
ejpam-7126	44	8	hcs	hcs	AUX
ejpam-7126	44	9	see	see	VERB
ejpam-7126	44	10	,	,	PUNCT
ejpam-7126	44	11	gupta	gupta	NOUN
ejpam-7126	44	12	and	and	CCONJ
ejpam-7126	44	13	kundu	kundu	NOUN
ejpam-7126	44	14	[	[	X
ejpam-7126	44	15	8	8	NUM
ejpam-7126	44	16	]	]	PUNCT
ejpam-7126	44	17	and	and	CCONJ
ejpam-7126	44	18	kundu	kundu	NOUN
ejpam-7126	44	19	and	and	CCONJ
ejpam-7126	44	20	pradhan	pradhan	NOUN
ejpam-7126	44	21	[	[	X
ejpam-7126	44	22	9	9	NUM
ejpam-7126	44	23	]	]	PUNCT
ejpam-7126	44	24	and	and	CCONJ
ejpam-7126	44	25	childs	child	VERB
ejpam-7126	44	26	et	et	PROPN
ejpam-7126	44	27	al	al	PROPN
ejpam-7126	44	28	.	.	PUNCT
ejpam-7126	45	1	[	[	X
ejpam-7126	45	2	10	10	NUM
ejpam-7126	45	3	]	]	PUNCT
ejpam-7126	45	4	and	and	CCONJ
ejpam-7126	45	5	[	[	X
ejpam-7126	45	6	11	11	NUM
ejpam-7126	45	7	]	]	PUNCT
ejpam-7126	45	8	for	for	ADP
ejpam-7126	45	9	type	type	NOUN
ejpam-7126	45	10	-	-	PUNCT
ejpam-7126	45	11	ii	ii	NOUN
ejpam-7126	45	12	hcs	hcs	NOUN
ejpam-7126	45	13	.	.	PUNCT
ejpam-7126	46	1	all	all	PRON
ejpam-7126	46	2	of	of	ADP
ejpam-7126	46	3	these	these	DET
ejpam-7126	46	4	types	type	NOUN
ejpam-7126	46	5	of	of	ADP
ejpam-7126	46	6	censoring	censor	VERB
ejpam-7126	46	7	schemes	scheme	NOUN
ejpam-7126	46	8	have	have	VERB
ejpam-7126	46	9	the	the	DET
ejpam-7126	46	10	lack	lack	NOUN
ejpam-7126	46	11	of	of	ADP
ejpam-7126	46	12	memory	memory	NOUN
ejpam-7126	46	13	that	that	SCONJ
ejpam-7126	46	14	a	a	DET
ejpam-7126	46	15	small	small	ADJ
ejpam-7126	46	16	data	data	NOUN
ejpam-7126	46	17	size	size	NOUN
ejpam-7126	46	18	may	may	AUX
ejpam-7126	46	19	be	be	AUX
ejpam-7126	46	20	zero	zero	NUM
ejpam-7126	46	21	in	in	ADP
ejpam-7126	46	22	type	type	NOUN
ejpam-7126	46	23	-	-	PUNCT
ejpam-7126	46	24	i	i	PRON
ejpam-7126	46	25	cs	cs	NOUN
ejpam-7126	46	26	and	and	CCONJ
ejpam-7126	46	27	type	type	NOUN
ejpam-7126	46	28	-	-	PUNCT
ejpam-7126	46	29	i	i	PRON
ejpam-7126	46	30	hcs	hcs	PROPN
ejpam-7126	46	31	.	.	PUNCT
ejpam-7126	47	1	and	and	CCONJ
ejpam-7126	47	2	,	,	PUNCT
ejpam-7126	47	3	larger	large	ADJ
ejpam-7126	47	4	terminated	terminate	VERB
ejpam-7126	47	5	test	test	NOUN
ejpam-7126	47	6	time	time	NOUN
ejpam-7126	47	7	in	in	ADP
ejpam-7126	47	8	type	type	NOUN
ejpam-7126	47	9	-	-	PUNCT
ejpam-7126	47	10	ii	ii	NOUN
ejpam-7126	47	11	cs	cs	PROPN
ejpam-7126	47	12	and	and	CCONJ
ejpam-7126	47	13	type	type	NOUN
ejpam-7126	47	14	-	-	PUNCT
ejpam-7126	47	15	ii	ii	NOUN
ejpam-7126	47	16	hcs	hcs	NOUN
ejpam-7126	47	17	may	may	AUX
ejpam-7126	47	18	be	be	AUX
ejpam-7126	47	19	infinity	infinity	NOUN
ejpam-7126	47	20	.	.	PUNCT
ejpam-7126	48	1	so	so	ADV
ejpam-7126	48	2	that	that	SCONJ
ejpam-7126	48	3	,	,	PUNCT
ejpam-7126	48	4	authors	author	NOUN
ejpam-7126	48	5	can	can	AUX
ejpam-7126	48	6	be	be	AUX
ejpam-7126	48	7	avoid	avoid	VERB
ejpam-7126	48	8	these	these	DET
ejpam-7126	48	9	schemes	scheme	NOUN
ejpam-7126	48	10	failure	failure	NOUN
ejpam-7126	48	11	by	by	ADP
ejpam-7126	48	12	considering	consider	VERB
ejpam-7126	48	13	the	the	DET
ejpam-7126	48	14	generalized	generalized	ADJ
ejpam-7126	48	15	hybrid	hybrid	NOUN
ejpam-7126	48	16	censoring	censor	VERB
ejpam-7126	48	17	schemes	scheme	NOUN
ejpam-7126	48	18	(	(	PUNCT
ejpam-7126	48	19	ghcss	ghcss	PROPN
ejpam-7126	48	20	)	)	PUNCT
ejpam-7126	48	21	,	,	PUNCT
ejpam-7126	48	22	see	see	VERB
ejpam-7126	48	23	[	[	X
ejpam-7126	48	24	12	12	NUM
ejpam-7126	48	25	]	]	PUNCT
ejpam-7126	48	26	.	.	PUNCT
ejpam-7126	49	1	in	in	ADP
ejpam-7126	49	2	this	this	DET
ejpam-7126	49	3	paper	paper	NOUN
ejpam-7126	49	4	,	,	PUNCT
ejpam-7126	49	5	we	we	PRON
ejpam-7126	49	6	adopted	adopt	VERB
ejpam-7126	49	7	tyep	tyep	NOUN
ejpam-7126	49	8	-	-	PUNCT
ejpam-7126	49	9	i	i	PRON
ejpam-7126	49	10	ghcss	ghcss	VERB
ejpam-7126	49	11	.	.	PUNCT
ejpam-7126	50	1	designing	design	VERB
ejpam-7126	50	2	the	the	DET
ejpam-7126	50	3	experiment	experiment	NOUN
ejpam-7126	50	4	according	accord	VERB
ejpam-7126	50	5	to	to	ADP
ejpam-7126	50	6	type	type	NOUN
ejpam-7126	50	7	-	-	PUNCT
ejpam-7126	50	8	i	i	PRON
ejpam-7126	50	9	ghcs	ghcs	AUX
ejpam-7126	50	10	provides	provide	VERB
ejpam-7126	50	11	us	we	PRON
ejpam-7126	50	12	with	with	ADP
ejpam-7126	50	13	the	the	DET
ejpam-7126	50	14	guarantee	guarantee	NOUN
ejpam-7126	50	15	of	of	ADP
ejpam-7126	50	16	saving	save	VERB
ejpam-7126	50	17	the	the	DET
ejpam-7126	50	18	minimum	minimum	ADJ
ejpam-7126	50	19	number	number	NOUN
ejpam-7126	50	20	of	of	ADP
ejpam-7126	50	21	failures	failure	NOUN
ejpam-7126	50	22	needed	need	VERB
ejpam-7126	50	23	for	for	ADP
ejpam-7126	50	24	statistical	statistical	ADJ
ejpam-7126	50	25	inference	inference	NOUN
ejpam-7126	50	26	.	.	PUNCT
ejpam-7126	51	1	therefore	therefore	ADV
ejpam-7126	51	2	,	,	PUNCT
ejpam-7126	51	3	let	let	VERB
ejpam-7126	51	4	a	a	DET
ejpam-7126	51	5	random	random	ADJ
ejpam-7126	51	6	sample	sample	NOUN
ejpam-7126	51	7	of	of	ADP
ejpam-7126	51	8	size	size	NOUN
ejpam-7126	51	9	n	n	PRON
ejpam-7126	51	10	is	be	AUX
ejpam-7126	51	11	selected	select	VERB
ejpam-7126	51	12	from	from	ADP
ejpam-7126	51	13	the	the	DET
ejpam-7126	51	14	population	population	NOUN
ejpam-7126	51	15	units	unit	NOUN
ejpam-7126	51	16	to	to	PART
ejpam-7126	51	17	run	run	VERB
ejpam-7126	51	18	under	under	ADP
ejpam-7126	51	19	type	type	NOUN
ejpam-7126	51	20	-	-	PUNCT
ejpam-7126	51	21	i	i	PRON
ejpam-7126	51	22	ghcs	ghcs	VERB
ejpam-7126	51	23	.	.	PUNCT
ejpam-7126	52	1	the	the	DET
ejpam-7126	52	2	minimum	minimum	ADJ
ejpam-7126	52	3	and	and	CCONJ
ejpam-7126	52	4	ideal	ideal	ADJ
ejpam-7126	52	5	numbers	number	NOUN
ejpam-7126	52	6	of	of	ADP
ejpam-7126	52	7	failure	failure	NOUN
ejpam-7126	52	8	are	be	AUX
ejpam-7126	52	9	prior	prior	ADV
ejpam-7126	52	10	propose	propose	ADJ
ejpam-7126	52	11	to	to	PART
ejpam-7126	52	12	be	be	AUX
ejpam-7126	52	13	k	k	PROPN
ejpam-7126	52	14	and	and	CCONJ
ejpam-7126	52	15	m.	m.	NOUN
ejpam-7126	52	16	also	also	ADV
ejpam-7126	52	17	,	,	PUNCT
ejpam-7126	52	18	the	the	DET
ejpam-7126	52	19	ideal	ideal	ADJ
ejpam-7126	52	20	test	test	NOUN
ejpam-7126	52	21	time	time	NOUN
ejpam-7126	52	22	is	be	AUX
ejpam-7126	52	23	denoted	denote	VERB
ejpam-7126	52	24	by	by	ADP
ejpam-7126	52	25	τ	τ	X
ejpam-7126	52	26	.	.	PUNCT
ejpam-7126	53	1	when	when	SCONJ
ejpam-7126	53	2	the	the	DET
ejpam-7126	53	3	experiment	experiment	NOUN
ejpam-7126	53	4	is	be	AUX
ejpam-7126	53	5	running	run	VERB
ejpam-7126	53	6	the	the	DET
ejpam-7126	53	7	failure	failure	NOUN
ejpam-7126	53	8	time	time	NOUN
ejpam-7126	53	9	is	be	AUX
ejpam-7126	53	10	recorded	record	VERB
ejpam-7126	53	11	until	until	SCONJ
ejpam-7126	53	12	the	the	DET
ejpam-7126	53	13	k	k	PROPN
ejpam-7126	53	14	-	-	PUNCT
ejpam-7126	53	15	th	th	VERB
ejpam-7126	53	16	failure	failure	NOUN
ejpam-7126	53	17	time	time	NOUN
ejpam-7126	53	18	tk	tk	PROPN
ejpam-7126	53	19	is	be	AUX
ejpam-7126	53	20	observed	observe	VERB
ejpam-7126	53	21	.	.	PUNCT
ejpam-7126	54	1	if	if	SCONJ
ejpam-7126	54	2	,	,	PUNCT
ejpam-7126	54	3	the	the	DET
ejpam-7126	54	4	failure	failure	NOUN
ejpam-7126	54	5	time	time	NOUN
ejpam-7126	54	6	tk	tk	PROPN
ejpam-7126	54	7	larger	large	ADJ
ejpam-7126	54	8	than	than	ADP
ejpam-7126	54	9	the	the	DET
ejpam-7126	54	10	time	time	NOUN
ejpam-7126	54	11	τ	τ	X
ejpam-7126	54	12	then	then	ADV
ejpam-7126	54	13	,	,	PUNCT
ejpam-7126	54	14	the	the	DET
ejpam-7126	54	15	test	test	NOUN
ejpam-7126	54	16	terimenated	terimenate	VERB
ejpam-7126	54	17	at	at	ADP
ejpam-7126	54	18	tk	tk	PROPN
ejpam-7126	54	19	.	.	PROPN
ejpam-7126	55	1	but	but	CCONJ
ejpam-7126	55	2	,	,	PUNCT
ejpam-7126	55	3	if	if	SCONJ
ejpam-7126	55	4	the	the	DET
ejpam-7126	55	5	failure	failure	NOUN
ejpam-7126	55	6	time	time	NOUN
ejpam-7126	55	7	tk	tk	PROPN
ejpam-7126	55	8	is	be	AUX
ejpam-7126	55	9	smaller	small	ADJ
ejpam-7126	55	10	than	than	ADP
ejpam-7126	55	11	τ	τ	PROPN
ejpam-7126	55	12	the	the	DET
ejpam-7126	55	13	test	test	NOUN
ejpam-7126	55	14	terimenated	terimenate	VERB
ejpam-7126	55	15	at	at	ADP
ejpam-7126	55	16	min	min	PROPN
ejpam-7126	55	17	(	(	PUNCT
ejpam-7126	55	18	τ	τ	PROPN
ejpam-7126	55	19	,	,	PUNCT
ejpam-7126	55	20	tm	tm	NOUN
ejpam-7126	55	21	)	)	PUNCT
ejpam-7126	55	22	,	,	PUNCT
ejpam-7126	55	23	see	see	VERB
ejpam-7126	55	24	[	[	X
ejpam-7126	55	25	13	13	NUM
ejpam-7126	55	26	]	]	PUNCT
ejpam-7126	55	27	and	and	CCONJ
ejpam-7126	55	28	[	[	X
ejpam-7126	55	29	14	14	NUM
ejpam-7126	55	30	]	]	PUNCT
ejpam-7126	55	31	.	.	PUNCT
ejpam-7126	56	1	the	the	DET
ejpam-7126	56	2	schematic	schematic	ADJ
ejpam-7126	56	3	diagram	diagram	NOUN
ejpam-7126	56	4	of	of	ADP
ejpam-7126	56	5	type	type	NOUN
ejpam-7126	56	6	-	-	PUNCT
ejpam-7126	56	7	i	i	PRON
ejpam-7126	56	8	ghcs	ghc	VERB
ejpam-7126	56	9	is	be	AUX
ejpam-7126	56	10	presented	present	VERB
ejpam-7126	56	11	in	in	ADP
ejpam-7126	56	12	figur3	figur3	PROPN
ejpam-7126	56	13	.	.	PUNCT
ejpam-7126	57	1	suppose	suppose	VERB
ejpam-7126	57	2	that	that	SCONJ
ejpam-7126	57	3	,	,	PUNCT
ejpam-7126	57	4	the	the	DET
ejpam-7126	57	5	observed	observe	VERB
ejpam-7126	57	6	data	datum	NOUN
ejpam-7126	57	7	under	under	ADP
ejpam-7126	57	8	type	type	NOUN
ejpam-7126	57	9	-	-	PUNCT
ejpam-7126	57	10	i	i	PRON
ejpam-7126	57	11	ghcs	ghcs	VERB
ejpam-7126	57	12	is	be	AUX
ejpam-7126	57	13	denoted	denote	VERB
ejpam-7126	57	14	by	by	ADP
ejpam-7126	57	15	t	t	PROPN
ejpam-7126	57	16	=	=	SYM
ejpam-7126	57	17	(	(	PUNCT
ejpam-7126	57	18	t1	t1	NOUN
ejpam-7126	57	19	<	<	X
ejpam-7126	57	20	t2	t2	PROPN
ejpam-7126	57	21	<	<	X
ejpam-7126	57	22	...	...	PUNCT
ejpam-7126	58	1	<	<	X
ejpam-7126	58	2	tr).the	tr).the	DET
ejpam-7126	58	3	integer	integer	NOUN
ejpam-7126	58	4	number	number	NOUN
ejpam-7126	58	5	r	r	NOUN
ejpam-7126	58	6	=	=	SYM
ejpam-7126	58	7	k	k	PROPN
ejpam-7126	58	8	for	for	ADP
ejpam-7126	58	9	τ	τ	PROPN
ejpam-7126	58	10	≤	≤	PROPN
ejpam-7126	58	11	tk	tk	PROPN
ejpam-7126	58	12	,	,	PUNCT
ejpam-7126	58	13	r	r	NOUN
ejpam-7126	58	14	=	=	PUNCT
ejpam-7126	58	15	m	m	VERB
ejpam-7126	58	16	for	for	ADP
ejpam-7126	58	17	tm	tm	NOUN
ejpam-7126	58	18	≤	≤	NUM
ejpam-7126	58	19	τ	τ	PROPN
ejpam-7126	58	20	and	and	CCONJ
ejpam-7126	58	21	k	k	X
ejpam-7126	58	22	<	<	X
ejpam-7126	58	23	r	r	X
ejpam-7126	58	24	<	<	X
ejpam-7126	59	1	m	m	NOUN
ejpam-7126	59	2	if	if	SCONJ
ejpam-7126	59	3	tk	tk	PROPN
ejpam-7126	59	4	<	<	X
ejpam-7126	59	5	τ	τ	X
ejpam-7126	59	6	<	<	X
ejpam-7126	59	7	tm	tm	PROPN
ejpam-7126	59	8	.	.	PROPN
ejpam-7126	59	9	figure	figure	NOUN
ejpam-7126	59	10	3	3	NUM
ejpam-7126	59	11	:	:	PUNCT
ejpam-7126	59	12	the	the	DET
ejpam-7126	59	13	schematic	schematic	ADJ
ejpam-7126	59	14	diagram	diagram	NOUN
ejpam-7126	59	15	of	of	ADP
ejpam-7126	59	16	type	type	NOUN
ejpam-7126	59	17	-	-	PUNCT
ejpam-7126	59	18	i	i	PRON
ejpam-7126	59	19	ghcs	ghcs	VERB
ejpam-7126	59	20	.	.	PUNCT
ejpam-7126	60	1	s.	s.	PROPN
ejpam-7126	60	2	k.	k.	PROPN
ejpam-7126	60	3	badr	badr	PROPN
ejpam-7126	60	4	/	/	SYM
ejpam-7126	60	5	eur	eur	PROPN
ejpam-7126	60	6	.	.	PUNCT
ejpam-7126	61	1	j.	j.	PROPN
ejpam-7126	61	2	pure	pure	PROPN
ejpam-7126	61	3	appl	appl	PROPN
ejpam-7126	61	4	.	.	PROPN
ejpam-7126	61	5	math	math	PROPN
ejpam-7126	61	6	,	,	PUNCT
ejpam-7126	61	7	18	18	NUM
ejpam-7126	61	8	(	(	PUNCT
ejpam-7126	61	9	4	4	NUM
ejpam-7126	61	10	)	)	PUNCT
ejpam-7126	61	11	(	(	PUNCT
ejpam-7126	61	12	2025	2025	NUM
ejpam-7126	61	13	)	)	PUNCT
ejpam-7126	61	14	,	,	PUNCT
ejpam-7126	61	15	7126	7126	NUM
ejpam-7126	61	16	4	4	NUM
ejpam-7126	61	17	of	of	ADP
ejpam-7126	61	18	20	20	NUM
ejpam-7126	61	19	the	the	DET
ejpam-7126	61	20	problem	problem	NOUN
ejpam-7126	61	21	of	of	ADP
ejpam-7126	61	22	obtaining	obtain	VERB
ejpam-7126	61	23	of	of	ADP
ejpam-7126	61	24	enough	enough	ADJ
ejpam-7126	61	25	failure	failure	NOUN
ejpam-7126	61	26	time	time	NOUN
ejpam-7126	61	27	data	datum	NOUN
ejpam-7126	61	28	under	under	ADP
ejpam-7126	61	29	normal	normal	ADJ
ejpam-7126	61	30	conditions	condition	NOUN
ejpam-7126	61	31	is	be	AUX
ejpam-7126	61	32	more	more	ADV
ejpam-7126	61	33	difficult	difficult	ADJ
ejpam-7126	61	34	,	,	PUNCT
ejpam-7126	61	35	in	in	ADP
ejpam-7126	61	36	manufacturing	manufacturing	NOUN
ejpam-7126	61	37	industries	industry	NOUN
ejpam-7126	61	38	.	.	PUNCT
ejpam-7126	62	1	therefore	therefore	ADV
ejpam-7126	62	2	,	,	PUNCT
ejpam-7126	62	3	the	the	DET
ejpam-7126	62	4	alts	alt	NOUN
ejpam-7126	62	5	presented	present	VERB
ejpam-7126	62	6	more	more	ADV
ejpam-7126	62	7	suitable	suitable	ADJ
ejpam-7126	62	8	method	method	NOUN
ejpam-7126	62	9	to	to	PART
ejpam-7126	62	10	solve	solve	VERB
ejpam-7126	62	11	this	this	DET
ejpam-7126	62	12	problem	problem	NOUN
ejpam-7126	62	13	in	in	ADP
ejpam-7126	62	14	a	a	DET
ejpam-7126	62	15	short	short	ADJ
ejpam-7126	62	16	period	period	NOUN
ejpam-7126	62	17	of	of	ADP
ejpam-7126	62	18	time	time	NOUN
ejpam-7126	62	19	.	.	PUNCT
ejpam-7126	63	1	according	accord	VERB
ejpam-7126	63	2	to	to	ADP
ejpam-7126	63	3	[	[	X
ejpam-7126	63	4	15	15	NUM
ejpam-7126	63	5	]	]	PUNCT
ejpam-7126	63	6	,	,	PUNCT
ejpam-7126	63	7	different	different	ADJ
ejpam-7126	63	8	type	type	NOUN
ejpam-7126	63	9	of	of	ADP
ejpam-7126	63	10	alts	alt	NOUN
ejpam-7126	63	11	are	be	AUX
ejpam-7126	63	12	defined	define	VERB
ejpam-7126	63	13	in	in	ADP
ejpam-7126	63	14	literature	literature	NOUN
ejpam-7126	63	15	.	.	PUNCT
ejpam-7126	64	1	the	the	DET
ejpam-7126	64	2	first	first	ADJ
ejpam-7126	64	3	type	type	NOUN
ejpam-7126	64	4	of	of	ADP
ejpam-7126	64	5	alts	alt	NOUN
ejpam-7126	64	6	was	be	AUX
ejpam-7126	64	7	called	call	VERB
ejpam-7126	64	8	constant	constant	ADJ
ejpam-7126	64	9	-	-	PUNCT
ejpam-7126	64	10	stress	stress	NOUN
ejpam-7126	64	11	alt	alt	NOUN
ejpam-7126	64	12	.	.	PUNCT
ejpam-7126	65	1	in	in	ADP
ejpam-7126	65	2	this	this	DET
ejpam-7126	65	3	type	type	NOUN
ejpam-7126	65	4	of	of	ADP
ejpam-7126	65	5	alts	alt	NOUN
ejpam-7126	65	6	,	,	PUNCT
ejpam-7126	65	7	we	we	PRON
ejpam-7126	65	8	kept	keep	VERB
ejpam-7126	65	9	the	the	DET
ejpam-7126	65	10	stress	stress	NOUN
ejpam-7126	65	11	throughout	throughout	ADP
ejpam-7126	65	12	the	the	DET
ejpam-7126	65	13	test	test	NOUN
ejpam-7126	65	14	at	at	ADP
ejpam-7126	65	15	a	a	DET
ejpam-7126	65	16	constant	constant	ADJ
ejpam-7126	65	17	level	level	NOUN
ejpam-7126	65	18	.	.	PUNCT
ejpam-7126	66	1	several	several	ADJ
ejpam-7126	66	2	authors	author	NOUN
ejpam-7126	66	3	considered	consider	VERB
ejpam-7126	66	4	constant	constant	ADJ
ejpam-7126	66	5	-	-	PUNCT
ejpam-7126	66	6	stress	stress	NOUN
ejpam-7126	66	7	alt	alt	NOUN
ejpam-7126	66	8	,	,	PUNCT
ejpam-7126	66	9	see	see	VERB
ejpam-7126	66	10	[	[	X
ejpam-7126	66	11	16	16	NUM
ejpam-7126	66	12	]	]	PUNCT
ejpam-7126	66	13	,	,	PUNCT
ejpam-7126	66	14	[	[	X
ejpam-7126	66	15	17	17	NUM
ejpam-7126	66	16	]	]	PUNCT
ejpam-7126	66	17	and	and	CCONJ
ejpam-7126	66	18	[	[	X
ejpam-7126	66	19	18	18	NUM
ejpam-7126	66	20	]	]	PUNCT
ejpam-7126	66	21	.	.	PUNCT
ejpam-7126	67	1	if	if	SCONJ
ejpam-7126	67	2	the	the	DET
ejpam-7126	67	3	stress	stress	NOUN
ejpam-7126	67	4	level	level	NOUN
ejpam-7126	67	5	is	be	AUX
ejpam-7126	67	6	changed	change	VERB
ejpam-7126	67	7	under	under	ADP
ejpam-7126	67	8	fixed	fix	VERB
ejpam-7126	67	9	time	time	NOUN
ejpam-7126	67	10	or	or	CCONJ
ejpam-7126	67	11	number	number	NOUN
ejpam-7126	67	12	of	of	ADP
ejpam-7126	67	13	failure	failure	NOUN
ejpam-7126	67	14	then	then	ADV
ejpam-7126	67	15	,	,	PUNCT
ejpam-7126	67	16	step	step	NOUN
ejpam-7126	67	17	-	-	PUNCT
ejpam-7126	67	18	stress	stress	NOUN
ejpam-7126	67	19	alt	alt	NOUN
ejpam-7126	67	20	is	be	AUX
ejpam-7126	67	21	defined	define	VERB
ejpam-7126	67	22	,	,	PUNCT
ejpam-7126	67	23	see	see	VERB
ejpam-7126	67	24	[	[	X
ejpam-7126	67	25	19	19	NUM
ejpam-7126	67	26	]	]	PUNCT
ejpam-7126	67	27	and	and	CCONJ
ejpam-7126	68	1	[	[	X
ejpam-7126	68	2	20	20	NUM
ejpam-7126	68	3	]	]	PUNCT
ejpam-7126	68	4	.	.	PUNCT
ejpam-7126	69	1	the	the	DET
ejpam-7126	69	2	third	third	ADJ
ejpam-7126	69	3	type	type	NOUN
ejpam-7126	69	4	of	of	ADP
ejpam-7126	69	5	alts	alt	NOUN
ejpam-7126	69	6	is	be	AUX
ejpam-7126	69	7	called	call	VERB
ejpam-7126	69	8	progressive	progressive	ADJ
ejpam-7126	69	9	-	-	PUNCT
ejpam-7126	69	10	stress	stress	NOUN
ejpam-7126	69	11	alt	alt	NOUN
ejpam-7126	69	12	,	,	PUNCT
ejpam-7126	69	13	the	the	DET
ejpam-7126	69	14	stress	stress	NOUN
ejpam-7126	69	15	in	in	ADP
ejpam-7126	69	16	this	this	DET
ejpam-7126	69	17	type	type	NOUN
ejpam-7126	69	18	is	be	AUX
ejpam-7126	69	19	continual	continual	ADJ
ejpam-7126	69	20	increasing	increase	VERB
ejpam-7126	69	21	through	through	ADP
ejpam-7126	69	22	the	the	DET
ejpam-7126	69	23	test	test	NOUN
ejpam-7126	69	24	,	,	PUNCT
ejpam-7126	69	25	see	see	VERB
ejpam-7126	69	26	[	[	X
ejpam-7126	69	27	21	21	NUM
ejpam-7126	69	28	]	]	PUNCT
ejpam-7126	69	29	.	.	PUNCT
ejpam-7126	70	1	in	in	ADP
ejpam-7126	70	2	several	several	ADJ
ejpam-7126	70	3	cases	case	NOUN
ejpam-7126	70	4	of	of	ADP
ejpam-7126	70	5	alts	alt	NOUN
ejpam-7126	70	6	,	,	PUNCT
ejpam-7126	70	7	some	some	DET
ejpam-7126	70	8	units	unit	NOUN
ejpam-7126	70	9	were	be	AUX
ejpam-7126	70	10	tested	test	VERB
ejpam-7126	70	11	under	under	ADP
ejpam-7126	70	12	use	use	NOUN
ejpam-7126	70	13	conditions	condition	NOUN
ejpam-7126	70	14	,	,	PUNCT
ejpam-7126	70	15	and	and	CCONJ
ejpam-7126	70	16	other	other	ADJ
ejpam-7126	70	17	units	unit	NOUN
ejpam-7126	70	18	were	be	AUX
ejpam-7126	70	19	tested	test	VERB
ejpam-7126	70	20	under	under	ADP
ejpam-7126	70	21	stress	stress	NOUN
ejpam-7126	70	22	conditions	condition	NOUN
ejpam-7126	70	23	,	,	PUNCT
ejpam-7126	70	24	which	which	PRON
ejpam-7126	70	25	is	be	AUX
ejpam-7126	70	26	known	know	VERB
ejpam-7126	70	27	by	by	ADP
ejpam-7126	70	28	partially	partially	ADV
ejpam-7126	70	29	alts	alt	NOUN
ejpam-7126	70	30	model	model	PROPN
ejpam-7126	70	31	,	,	PUNCT
ejpam-7126	70	32	see	see	VERB
ejpam-7126	70	33	[	[	X
ejpam-7126	70	34	22	22	NUM
ejpam-7126	70	35	]	]	PUNCT
ejpam-7126	70	36	.	.	PUNCT
ejpam-7126	71	1	partially	partially	ADV
ejpam-7126	71	2	alts	alt	NOUN
ejpam-7126	71	3	model	model	NOUN
ejpam-7126	71	4	defined	define	VERB
ejpam-7126	71	5	as	as	ADP
ejpam-7126	71	6	partially	partially	ADV
ejpam-7126	71	7	constant	constant	ADJ
ejpam-7126	71	8	-	-	PUNCT
ejpam-7126	71	9	stress	stress	NOUN
ejpam-7126	71	10	alt	alt	NOUN
ejpam-7126	71	11	model	model	NOUN
ejpam-7126	71	12	and	and	CCONJ
ejpam-7126	71	13	partially	partially	ADV
ejpam-7126	71	14	step	step	NOUN
ejpam-7126	71	15	-	-	PUNCT
ejpam-7126	71	16	stress	stress	NOUN
ejpam-7126	71	17	alt	alt	NOUN
ejpam-7126	71	18	model	model	NOUN
ejpam-7126	71	19	,	,	PUNCT
ejpam-7126	71	20	see	see	VERB
ejpam-7126	71	21	almalki	almalki	ADP
ejpam-7126	71	22	et	et	PROPN
ejpam-7126	71	23	al	al	PROPN
ejpam-7126	72	1	[	[	X
ejpam-7126	72	2	23	23	NUM
ejpam-7126	72	3	]	]	PUNCT
ejpam-7126	72	4	and	and	CCONJ
ejpam-7126	72	5	almarashi	almarashi	PROPN
ejpam-7126	72	6	and	and	CCONJ
ejpam-7126	72	7	abd	abd	PROPN
ejpam-7126	72	8	-	-	PROPN
ejpam-7126	72	9	elmougod	elmougod	PROPN
ejpam-7126	73	1	[	[	X
ejpam-7126	73	2	24	24	NUM
ejpam-7126	73	3	]	]	PUNCT
ejpam-7126	73	4	.	.	PUNCT
ejpam-7126	74	1	in	in	ADP
ejpam-7126	74	2	the	the	DET
ejpam-7126	74	3	partially	partially	ADV
ejpam-7126	74	4	constant	constant	ADJ
ejpam-7126	74	5	-	-	PUNCT
ejpam-7126	74	6	stress	stress	NOUN
ejpam-7126	74	7	alt	alt	NOUN
ejpam-7126	74	8	model	model	NOUN
ejpam-7126	74	9	,	,	PUNCT
ejpam-7126	74	10	some	some	DET
ejpam-7126	74	11	units	unit	NOUN
ejpam-7126	74	12	are	be	AUX
ejpam-7126	74	13	tested	test	VERB
ejpam-7126	74	14	under	under	ADP
ejpam-7126	74	15	normal	normal	ADJ
ejpam-7126	74	16	condition	condition	NOUN
ejpam-7126	74	17	and	and	CCONJ
ejpam-7126	74	18	other	other	ADJ
ejpam-7126	74	19	units	unit	NOUN
ejpam-7126	74	20	are	be	AUX
ejpam-7126	74	21	tested	test	VERB
ejpam-7126	74	22	under	under	ADP
ejpam-7126	74	23	accelerated	accelerate	VERB
ejpam-7126	74	24	conditions	condition	NOUN
ejpam-7126	74	25	.	.	PUNCT
ejpam-7126	75	1	but	but	CCONJ
ejpam-7126	75	2	,	,	PUNCT
ejpam-7126	75	3	in	in	ADP
ejpam-7126	75	4	partially	partially	ADV
ejpam-7126	75	5	step	step	NOUN
ejpam-7126	75	6	-	-	PUNCT
ejpam-7126	75	7	stress	stress	NOUN
ejpam-7126	75	8	alt	alt	NOUN
ejpam-7126	75	9	model	model	NOUN
ejpam-7126	75	10	,	,	PUNCT
ejpam-7126	75	11	all	all	DET
ejpam-7126	75	12	units	unit	NOUN
ejpam-7126	75	13	are	be	AUX
ejpam-7126	75	14	tested	test	VERB
ejpam-7126	75	15	under	under	ADP
ejpam-7126	75	16	normal	normal	ADJ
ejpam-7126	75	17	conditions	condition	NOUN
ejpam-7126	75	18	until	until	SCONJ
ejpam-7126	75	19	fixed	fix	VERB
ejpam-7126	75	20	prior	prior	ADJ
ejpam-7126	75	21	time	time	NOUN
ejpam-7126	75	22	or	or	CCONJ
ejpam-7126	75	23	number	number	NOUN
ejpam-7126	75	24	is	be	AUX
ejpam-7126	75	25	observed	observe	VERB
ejpam-7126	75	26	,	,	PUNCT
ejpam-7126	75	27	and	and	CCONJ
ejpam-7126	75	28	hence	hence	ADV
ejpam-7126	75	29	are	be	AUX
ejpam-7126	75	30	tested	test	VERB
ejpam-7126	75	31	under	under	ADP
ejpam-7126	75	32	accelerated	accelerate	VERB
ejpam-7126	75	33	conditions	condition	NOUN
ejpam-7126	75	34	.	.	PUNCT
ejpam-7126	76	1	statistical	statistical	ADJ
ejpam-7126	76	2	inference	inference	NOUN
ejpam-7126	76	3	of	of	ADP
ejpam-7126	76	4	i	i	PROPN
ejpam-7126	76	5	d	d	PROPN
ejpam-7126	76	6	under	under	ADP
ejpam-7126	76	7	partially	partially	ADV
ejpam-7126	76	8	step	step	NOUN
ejpam-7126	76	9	-	-	PUNCT
ejpam-7126	76	10	stress	stress	NOUN
ejpam-7126	76	11	alt	alt	NOUN
ejpam-7126	76	12	is	be	AUX
ejpam-7126	76	13	developed	develop	VERB
ejpam-7126	76	14	when	when	SCONJ
ejpam-7126	76	15	data	datum	NOUN
ejpam-7126	76	16	is	be	AUX
ejpam-7126	76	17	obtained	obtain	VERB
ejpam-7126	76	18	with	with	ADP
ejpam-7126	76	19	respect	respect	NOUN
ejpam-7126	76	20	to	to	ADP
ejpam-7126	76	21	type	type	NOUN
ejpam-7126	76	22	-	-	PUNCT
ejpam-7126	76	23	i	i	PRON
ejpam-7126	76	24	generalized	generalized	ADJ
ejpam-7126	76	25	hsc	hsc	PROPN
ejpam-7126	76	26	.	.	PUNCT
ejpam-7126	77	1	the	the	DET
ejpam-7126	77	2	estimation	estimation	NOUN
ejpam-7126	77	3	results	result	NOUN
ejpam-7126	77	4	of	of	ADP
ejpam-7126	77	5	the	the	DET
ejpam-7126	77	6	model	model	NOUN
ejpam-7126	77	7	parameters	parameter	NOUN
ejpam-7126	77	8	formulated	formulate	VERB
ejpam-7126	77	9	with	with	ADP
ejpam-7126	77	10	the	the	DET
ejpam-7126	77	11	resected	resect	VERB
ejpam-7126	77	12	mle	mle	NOUN
ejpam-7126	77	13	,	,	PUNCT
ejpam-7126	77	14	bootstrap	bootstrap	NOUN
ejpam-7126	77	15	confidence	confidence	NOUN
ejpam-7126	77	16	interval	interval	NOUN
ejpam-7126	77	17	,	,	PUNCT
ejpam-7126	77	18	and	and	CCONJ
ejpam-7126	77	19	bayes	bayes	PROPN
ejpam-7126	77	20	method	method	NOUN
ejpam-7126	77	21	are	be	AUX
ejpam-7126	77	22	constructed	construct	VERB
ejpam-7126	77	23	.	.	PUNCT
ejpam-7126	78	1	the	the	DET
ejpam-7126	78	2	paper	paper	NOUN
ejpam-7126	78	3	is	be	AUX
ejpam-7126	78	4	described	describe	VERB
ejpam-7126	78	5	as	as	SCONJ
ejpam-7126	78	6	follows	follow	VERB
ejpam-7126	78	7	:	:	PUNCT
ejpam-7126	78	8	in	in	ADP
ejpam-7126	78	9	section	section	NOUN
ejpam-7126	78	10	2	2	NUM
ejpam-7126	78	11	,	,	PUNCT
ejpam-7126	78	12	the	the	DET
ejpam-7126	78	13	essential	essential	ADJ
ejpam-7126	78	14	assumptions	assumption	NOUN
ejpam-7126	78	15	and	and	CCONJ
ejpam-7126	78	16	model	model	NOUN
ejpam-7126	78	17	formulation	formulation	NOUN
ejpam-7126	78	18	are	be	AUX
ejpam-7126	78	19	presented	present	VERB
ejpam-7126	78	20	.	.	PUNCT
ejpam-7126	79	1	in	in	ADP
ejpam-7126	79	2	section	section	NOUN
ejpam-7126	79	3	3	3	NUM
ejpam-7126	79	4	,	,	PUNCT
ejpam-7126	79	5	formulate	formulate	VERB
ejpam-7126	79	6	the	the	DET
ejpam-7126	79	7	theoretical	theoretical	ADJ
ejpam-7126	79	8	results	result	NOUN
ejpam-7126	79	9	of	of	ADP
ejpam-7126	79	10	point	point	NOUN
ejpam-7126	79	11	estimation	estimation	NOUN
ejpam-7126	79	12	.	.	PUNCT
ejpam-7126	80	1	in	in	ADP
ejpam-7126	80	2	section	section	NOUN
ejpam-7126	80	3	4	4	NUM
ejpam-7126	80	4	,	,	PUNCT
ejpam-7126	80	5	formulate	formulate	VERB
ejpam-7126	80	6	the	the	DET
ejpam-7126	80	7	theoretical	theoretical	ADJ
ejpam-7126	80	8	results	result	NOUN
ejpam-7126	80	9	of	of	ADP
ejpam-7126	80	10	interval	interval	NOUN
ejpam-7126	80	11	estimation	estimation	NOUN
ejpam-7126	80	12	.	.	PUNCT
ejpam-7126	81	1	the	the	DET
ejpam-7126	81	2	numerical	numerical	ADJ
ejpam-7126	81	3	study	study	NOUN
ejpam-7126	81	4	in	in	ADP
ejpam-7126	81	5	the	the	DET
ejpam-7126	81	6	form	form	NOUN
ejpam-7126	81	7	of	of	ADP
ejpam-7126	81	8	an	an	DET
ejpam-7126	81	9	analysis	analysis	NOUN
ejpam-7126	81	10	of	of	ADP
ejpam-7126	81	11	two	two	NUM
ejpam-7126	81	12	real	real	ADJ
ejpam-7126	81	13	data	datum	NOUN
ejpam-7126	81	14	sets	set	NOUN
ejpam-7126	81	15	and	and	CCONJ
ejpam-7126	81	16	a	a	DET
ejpam-7126	81	17	simulation	simulation	NOUN
ejpam-7126	81	18	study	study	NOUN
ejpam-7126	81	19	are	be	AUX
ejpam-7126	81	20	formulated	formulate	VERB
ejpam-7126	81	21	in	in	ADP
ejpam-7126	81	22	section	section	NOUN
ejpam-7126	81	23	5	5	NUM
ejpam-7126	81	24	.	.	PUNCT
ejpam-7126	82	1	finally	finally	ADV
ejpam-7126	82	2	,	,	PUNCT
ejpam-7126	82	3	we	we	PRON
ejpam-7126	82	4	conclude	conclude	VERB
ejpam-7126	82	5	with	with	ADP
ejpam-7126	82	6	some	some	DET
ejpam-7126	82	7	comments	comment	NOUN
ejpam-7126	82	8	in	in	ADP
ejpam-7126	82	9	section	section	NOUN
ejpam-7126	82	10	6	6	NUM
ejpam-7126	82	11	.	.	PUNCT
ejpam-7126	82	12	.	.	PUNCT
ejpam-7126	83	1	2	2	X
ejpam-7126	83	2	.	.	NUM
ejpam-7126	83	3	assumptions	assumption	NOUN
ejpam-7126	83	4	and	and	CCONJ
ejpam-7126	83	5	model	model	NOUN
ejpam-7126	83	6	formulation	formulation	NOUN
ejpam-7126	83	7	table	table	NOUN
ejpam-7126	83	8	1	1	NUM
ejpam-7126	83	9	:	:	PUNCT
ejpam-7126	83	10	list	list	NOUN
ejpam-7126	83	11	of	of	ADP
ejpam-7126	83	12	abbreviations	abbreviation	NOUN
ejpam-7126	83	13	.	.	PUNCT
ejpam-7126	84	1	i	i	PRON
ejpam-7126	84	2	d	d	PROPN
ejpam-7126	84	3	ishita	ishita	VERB
ejpam-7126	84	4	distribution	distribution	NOUN
ejpam-7126	84	5	.	.	PUNCT
ejpam-7126	85	1	cdf	cdf	PROPN
ejpam-7126	85	2	cumulative	cumulative	ADJ
ejpam-7126	85	3	distribution	distribution	NOUN
ejpam-7126	85	4	function	function	NOUN
ejpam-7126	85	5	.	.	PUNCT
ejpam-7126	86	1	pdf	pdf	NOUN
ejpam-7126	86	2	probability	probability	NOUN
ejpam-7126	86	3	density	density	NOUN
ejpam-7126	86	4	function	function	NOUN
ejpam-7126	86	5	aci	aci	PROPN
ejpam-7126	86	6	approximate	approximate	ADJ
ejpam-7126	86	7	confidence	confidence	NOUN
ejpam-7126	86	8	interval	interval	NOUN
ejpam-7126	86	9	cdf	cdf	NOUN
ejpam-7126	86	10	cumulative	cumulative	ADJ
ejpam-7126	86	11	distribution	distribution	NOUN
ejpam-7126	86	12	function	function	NOUN
ejpam-7126	86	13	.	.	PUNCT
ejpam-7126	87	1	ghcs	ghcs	AUX
ejpam-7126	87	2	generalized	generalize	VERB
ejpam-7126	87	3	hybrid	hybrid	NOUN
ejpam-7126	87	4	censoring	censor	VERB
ejpam-7126	87	5	scheme	scheme	NOUN
ejpam-7126	87	6	h	h	NOUN
ejpam-7126	87	7	(	(	PUNCT
ejpam-7126	87	8	.	.	PUNCT
ejpam-7126	87	9	)	)	PUNCT
ejpam-7126	88	1	hazrd	hazrd	NOUN
ejpam-7126	88	2	fialure	fialure	NOUN
ejpam-7126	88	3	rate	rate	NOUN
ejpam-7126	88	4	function	function	NOUN
ejpam-7126	88	5	.	.	PUNCT
ejpam-7126	89	1	btci	btci	PROPN
ejpam-7126	89	2	bootstrap	bootstrap	PROPN
ejpam-7126	89	3	-	-	PUNCT
ejpam-7126	89	4	t	t	NOUN
ejpam-7126	89	5	confidence	confidence	NOUN
ejpam-7126	89	6	interval	interval	NOUN
ejpam-7126	89	7	.	.	PUNCT
ejpam-7126	90	1	mh	mh	PROPN
ejpam-7126	90	2	metropolis	metropolis	PROPN
ejpam-7126	90	3	–	–	PUNCT
ejpam-7126	90	4	hastings	hastings	PROPN
ejpam-7126	90	5	.	.	PUNCT
ejpam-7126	91	1	ci	ci	PROPN
ejpam-7126	91	2	credible	credible	ADJ
ejpam-7126	91	3	intervals	interval	NOUN
ejpam-7126	91	4	alt	alt	AUX
ejpam-7126	91	5	accelerated	accelerate	VERB
ejpam-7126	91	6	life	life	NOUN
ejpam-7126	91	7	tests	test	NOUN
ejpam-7126	91	8	me	i	PRON
ejpam-7126	91	9	mean	mean	VERB
ejpam-7126	91	10	estimate	estimate	VERB
ejpam-7126	91	11	ci	ci	PROPN
ejpam-7126	91	12	credible	credible	ADJ
ejpam-7126	91	13	intervals	interval	NOUN
ejpam-7126	91	14	mse	mse	NOUN
ejpam-7126	91	15	mean	mean	VERB
ejpam-7126	91	16	squared	square	VERB
ejpam-7126	91	17	error	error	NOUN
ejpam-7126	91	18	.	.	PUNCT
ejpam-7126	92	1	mil	mil	NOUN
ejpam-7126	92	2	mean	mean	VERB
ejpam-7126	92	3	interval	interval	NOUN
ejpam-7126	92	4	length	length	NOUN
ejpam-7126	92	5	.	.	PUNCT
ejpam-7126	93	1	sel	sel	PROPN
ejpam-7126	93	2	square	square	ADJ
ejpam-7126	93	3	error	error	NOUN
ejpam-7126	93	4	loss	loss	NOUN
ejpam-7126	93	5	.	.	PUNCT
ejpam-7126	94	1	pc	pc	NOUN
ejpam-7126	94	2	probability	probability	NOUN
ejpam-7126	94	3	coverage	coverage	NOUN
ejpam-7126	94	4	.	.	PUNCT
ejpam-7126	95	1	pbci	pbci	PROPN
ejpam-7126	95	2	percentile	percentile	PROPN
ejpam-7126	95	3	bootstrap	bootstrap	NOUN
ejpam-7126	95	4	confidence	confidence	NOUN
ejpam-7126	95	5	interval	interval	NOUN
ejpam-7126	95	6	.	.	PUNCT
ejpam-7126	96	1	let	let	VERB
ejpam-7126	96	2	a	a	DET
ejpam-7126	96	3	random	random	ADJ
ejpam-7126	96	4	sample	sample	NOUN
ejpam-7126	96	5	of	of	ADP
ejpam-7126	96	6	size	size	NOUN
ejpam-7126	96	7	n	n	AUX
ejpam-7126	96	8	be	be	AUX
ejpam-7126	96	9	selected	select	VERB
ejpam-7126	96	10	from	from	ADP
ejpam-7126	96	11	the	the	DET
ejpam-7126	96	12	population	population	NOUN
ejpam-7126	96	13	units	unit	NOUN
ejpam-7126	96	14	to	to	PART
ejpam-7126	96	15	put	put	VERB
ejpam-7126	96	16	under	under	ADP
ejpam-7126	96	17	a	a	DET
ejpam-7126	96	18	life	life	NOUN
ejpam-7126	96	19	testing	testing	NOUN
ejpam-7126	96	20	experiment	experiment	NOUN
ejpam-7126	96	21	.	.	PUNCT
ejpam-7126	97	1	also	also	ADV
ejpam-7126	97	2	,	,	PUNCT
ejpam-7126	97	3	suppose	suppose	VERB
ejpam-7126	97	4	each	each	PRON
ejpam-7126	97	5	of	of	ADP
ejpam-7126	97	6	the	the	DET
ejpam-7126	97	7	lower	low	ADJ
ejpam-7126	97	8	and	and	CCONJ
ejpam-7126	97	9	upper	upper	ADJ
ejpam-7126	97	10	integer	integer	NOUN
ejpam-7126	97	11	numbers	number	NOUN
ejpam-7126	97	12	of	of	ADP
ejpam-7126	97	13	failures	failure	NOUN
ejpam-7126	97	14	needed	need	VERB
ejpam-7126	97	15	for	for	ADP
ejpam-7126	97	16	statistical	statistical	ADJ
ejpam-7126	97	17	inference	inference	NOUN
ejpam-7126	97	18	are	be	AUX
ejpam-7126	97	19	prior	prior	ADV
ejpam-7126	97	20	proposed	propose	VERB
ejpam-7126	97	21	to	to	PART
ejpam-7126	97	22	be	be	AUX
ejpam-7126	97	23	k	k	PROPN
ejpam-7126	97	24	and	and	CCONJ
ejpam-7126	97	25	m.	m.	NOUN
ejpam-7126	97	26	without	without	ADP
ejpam-7126	97	27	s.	s.	PROPN
ejpam-7126	97	28	k.	k.	PROPN
ejpam-7126	97	29	badr	badr	PROPN
ejpam-7126	97	30	/	/	SYM
ejpam-7126	97	31	eur	eur	PROPN
ejpam-7126	97	32	.	.	PUNCT
ejpam-7126	98	1	j.	j.	PROPN
ejpam-7126	98	2	pure	pure	PROPN
ejpam-7126	98	3	appl	appl	PROPN
ejpam-7126	98	4	.	.	PROPN
ejpam-7126	98	5	math	math	PROPN
ejpam-7126	98	6	,	,	PUNCT
ejpam-7126	98	7	18	18	NUM
ejpam-7126	98	8	(	(	PUNCT
ejpam-7126	98	9	4	4	NUM
ejpam-7126	98	10	)	)	PUNCT
ejpam-7126	98	11	(	(	PUNCT
ejpam-7126	98	12	2025	2025	NUM
ejpam-7126	98	13	)	)	PUNCT
ejpam-7126	98	14	,	,	PUNCT
ejpam-7126	98	15	7126	7126	NUM
ejpam-7126	98	16	5	5	NUM
ejpam-7126	98	17	of	of	ADP
ejpam-7126	98	18	20	20	NUM
ejpam-7126	98	19	loss	loss	NOUN
ejpam-7126	98	20	of	of	ADP
ejpam-7126	98	21	generality	generality	NOUN
ejpam-7126	98	22	,	,	PUNCT
ejpam-7126	98	23	the	the	DET
ejpam-7126	98	24	stress	stress	NOUN
ejpam-7126	98	25	time	time	NOUN
ejpam-7126	98	26	change	change	PROPN
ejpam-7126	98	27	η	η	PROPN
ejpam-7126	98	28	is	be	AUX
ejpam-7126	98	29	selected	select	VERB
ejpam-7126	98	30	to	to	PART
ejpam-7126	98	31	be	be	AUX
ejpam-7126	98	32	smaller	small	ADJ
ejpam-7126	98	33	than	than	ADP
ejpam-7126	98	34	the	the	DET
ejpam-7126	98	35	ideal	ideal	ADJ
ejpam-7126	98	36	test	test	NOUN
ejpam-7126	98	37	time	time	NOUN
ejpam-7126	98	38	τ	τ	PROPN
ejpam-7126	98	39	.	.	PUNCT
ejpam-7126	99	1	with	with	ADP
ejpam-7126	99	2	respect	respect	NOUN
ejpam-7126	99	3	to	to	PART
ejpam-7126	99	4	partially	partially	ADV
ejpam-7126	99	5	step	step	VERB
ejpam-7126	99	6	-	-	PUNCT
ejpam-7126	99	7	stress	stress	NOUN
ejpam-7126	99	8	alts	alt	NOUN
ejpam-7126	99	9	,	,	PUNCT
ejpam-7126	99	10	firstly	firstly	ADV
ejpam-7126	99	11	,	,	PUNCT
ejpam-7126	99	12	run	run	VERB
ejpam-7126	99	13	the	the	DET
ejpam-7126	99	14	experiment	experiment	NOUN
ejpam-7126	99	15	under	under	ADP
ejpam-7126	99	16	normal	normal	ADJ
ejpam-7126	99	17	stress	stress	NOUN
ejpam-7126	99	18	conditions	condition	NOUN
ejpam-7126	99	19	with	with	ADP
ejpam-7126	99	20	all	all	DET
ejpam-7126	99	21	units	unit	NOUN
ejpam-7126	99	22	until	until	ADP
ejpam-7126	99	23	the	the	DET
ejpam-7126	99	24	time	time	NOUN
ejpam-7126	99	25	η	η	PROPN
ejpam-7126	99	26	is	be	AUX
ejpam-7126	99	27	observed	observe	VERB
ejpam-7126	99	28	.	.	PUNCT
ejpam-7126	100	1	then	then	ADV
ejpam-7126	100	2	,	,	PUNCT
ejpam-7126	100	3	it	it	PRON
ejpam-7126	100	4	runs	run	VERB
ejpam-7126	100	5	under	under	ADP
ejpam-7126	100	6	stress	stress	NOUN
ejpam-7126	100	7	conditions	condition	NOUN
ejpam-7126	100	8	.	.	PUNCT
ejpam-7126	101	1	if	if	SCONJ
ejpam-7126	101	2	the	the	DET
ejpam-7126	101	3	k	k	NOUN
ejpam-7126	101	4	-	-	PUNCT
ejpam-7126	101	5	th	th	VERB
ejpam-7126	101	6	failure	failure	NOUN
ejpam-7126	101	7	time	time	NOUN
ejpam-7126	101	8	xk	xk	PROPN
ejpam-7126	101	9	<	<	X
ejpam-7126	101	10	τ	τ	PROPN
ejpam-7126	101	11	,	,	PUNCT
ejpam-7126	101	12	we	we	PRON
ejpam-7126	101	13	terminated	terminate	VERB
ejpam-7126	101	14	the	the	DET
ejpam-7126	101	15	test	test	NOUN
ejpam-7126	101	16	at	at	ADP
ejpam-7126	101	17	min(τ	min(τ	PROPN
ejpam-7126	101	18	,	,	PUNCT
ejpam-7126	101	19	tm	tm	PROPN
ejpam-7126	101	20	)	)	PUNCT
ejpam-7126	101	21	otherwise	otherwise	ADV
ejpam-7126	101	22	the	the	DET
ejpam-7126	101	23	test	test	NOUN
ejpam-7126	101	24	terminated	terminate	VERB
ejpam-7126	101	25	at	at	ADP
ejpam-7126	101	26	tk	tk	PROPN
ejpam-7126	101	27	.	.	PROPN
ejpam-7126	102	1	therefore	therefore	ADV
ejpam-7126	102	2	,	,	PUNCT
ejpam-7126	102	3	the	the	DET
ejpam-7126	102	4	data	datum	NOUN
ejpam-7126	102	5	with	with	ADP
ejpam-7126	102	6	respect	respect	NOUN
ejpam-7126	102	7	to	to	ADP
ejpam-7126	102	8	type	type	NOUN
ejpam-7126	102	9	-	-	PUNCT
ejpam-7126	102	10	i	i	PRON
ejpam-7126	102	11	ghcs	ghcs	VERB
ejpam-7126	102	12	can	can	AUX
ejpam-7126	102	13	be	be	AUX
ejpam-7126	102	14	described	describe	VERB
ejpam-7126	102	15	as	as	ADP
ejpam-7126	102	16	x	x	X
ejpam-7126	102	17	=(	=(	NOUN
ejpam-7126	102	18	x1	x1	NOUN
ejpam-7126	102	19	<	<	X
ejpam-7126	103	1	x2	x2	X
ejpam-7126	103	2	<	<	X
ejpam-7126	103	3	...	...	PUNCT
ejpam-7126	103	4	<	<	X
ejpam-7126	103	5	xj	xj	PROPN
ejpam-7126	103	6	<	<	X
ejpam-7126	103	7	η	η	X
ejpam-7126	103	8	<	<	X
ejpam-7126	103	9	xj+1	xj+1	X
ejpam-7126	103	10	<	<	X
ejpam-7126	103	11	...	...	PUNCT
ejpam-7126	103	12	<	<	X
ejpam-7126	103	13	xr	xr	X
ejpam-7126	103	14	)	)	PUNCT
ejpam-7126	103	15	,	,	PUNCT
ejpam-7126	103	16	where	where	SCONJ
ejpam-7126	103	17	,	,	PUNCT
ejpam-7126	103	18	k	k	PROPN
ejpam-7126	103	19	≤	≤	PROPN
ejpam-7126	103	20	r	r	NOUN
ejpam-7126	103	21	≤	≤	NUM
ejpam-7126	103	22	m.	m.	NOUN
ejpam-7126	103	23	the	the	DET
ejpam-7126	103	24	integer	integer	NOUN
ejpam-7126	103	25	number	number	NOUN
ejpam-7126	103	26	j	j	PROPN
ejpam-7126	103	27	is	be	AUX
ejpam-7126	103	28	observed	observe	VERB
ejpam-7126	103	29	under	under	ADP
ejpam-7126	103	30	normal	normal	ADJ
ejpam-7126	103	31	conditions	condition	NOUN
ejpam-7126	103	32	,	,	PUNCT
ejpam-7126	103	33	but	but	CCONJ
ejpam-7126	103	34	r	r	NOUN
ejpam-7126	103	35	−	−	PROPN
ejpam-7126	103	36	j	j	PROPN
ejpam-7126	103	37	under	under	ADP
ejpam-7126	103	38	accelerated	accelerate	VERB
ejpam-7126	103	39	conditions	condition	NOUN
ejpam-7126	103	40	conditions	condition	NOUN
ejpam-7126	103	41	.	.	PUNCT
ejpam-7126	104	1	the	the	DET
ejpam-7126	104	2	objective	objective	NOUN
ejpam-7126	104	3	of	of	ADP
ejpam-7126	104	4	changing	change	VERB
ejpam-7126	104	5	to	to	ADP
ejpam-7126	104	6	a	a	DET
ejpam-7126	104	7	higher	high	ADJ
ejpam-7126	104	8	stress	stress	NOUN
ejpam-7126	104	9	level	level	NOUN
ejpam-7126	104	10	is	be	AUX
ejpam-7126	104	11	to	to	PART
ejpam-7126	104	12	shorten	shorten	VERB
ejpam-7126	104	13	the	the	DET
ejpam-7126	104	14	test	test	NOUN
ejpam-7126	104	15	time	time	NOUN
ejpam-7126	104	16	.	.	PUNCT
ejpam-7126	105	1	if	if	SCONJ
ejpam-7126	105	2	we	we	PRON
ejpam-7126	105	3	denote	denote	VERB
ejpam-7126	105	4	the	the	DET
ejpam-7126	105	5	total	total	ADJ
ejpam-7126	105	6	test	test	NOUN
ejpam-7126	105	7	time	time	NOUN
ejpam-7126	105	8	by	by	ADP
ejpam-7126	105	9	t	t	PROPN
ejpam-7126	105	10	,	,	PUNCT
ejpam-7126	105	11	which	which	PRON
ejpam-7126	105	12	passes	pass	VERB
ejpam-7126	105	13	through	through	ADP
ejpam-7126	105	14	two	two	NUM
ejpam-7126	105	15	stages	stage	NOUN
ejpam-7126	105	16	,	,	PUNCT
ejpam-7126	105	17	normal	normal	ADJ
ejpam-7126	105	18	and	and	CCONJ
ejpam-7126	105	19	accelerated	accelerate	VERB
ejpam-7126	105	20	conditions	condition	NOUN
ejpam-7126	105	21	.	.	PUNCT
ejpam-7126	106	1	then	then	ADV
ejpam-7126	106	2	,	,	PUNCT
ejpam-7126	106	3	t	t	NOUN
ejpam-7126	106	4	with	with	ADP
ejpam-7126	106	5	respect	respect	NOUN
ejpam-7126	106	6	to	to	PART
ejpam-7126	106	7	partially	partially	ADV
ejpam-7126	106	8	step	step	VERB
ejpam-7126	106	9	-	-	PUNCT
ejpam-7126	106	10	stress	stress	NOUN
ejpam-7126	106	11	the	the	DET
ejpam-7126	106	12	alt	alt	ADJ
ejpam-7126	106	13	model	model	NOUN
ejpam-7126	106	14	is	be	AUX
ejpam-7126	106	15	described	describe	VERB
ejpam-7126	106	16	as	as	ADP
ejpam-7126	106	17	t	t	PROPN
ejpam-7126	106	18	=	=	SYM
ejpam-7126	106	19	{	{	PUNCT
ejpam-7126	106	20	x	x	X
ejpam-7126	106	21	,	,	PUNCT
ejpam-7126	106	22	x	x	X
ejpam-7126	106	23	<	<	X
ejpam-7126	106	24	η	η	PROPN
ejpam-7126	106	25	η	η	PROPN
ejpam-7126	106	26	+	+	PROPN
ejpam-7126	106	27	(	(	PUNCT
ejpam-7126	106	28	x−η	x−η	NOUN
ejpam-7126	106	29	λ	λ	PROPN
ejpam-7126	106	30	)	)	PUNCT
ejpam-7126	106	31	,	,	PUNCT
ejpam-7126	106	32	x	x	X
ejpam-7126	106	33	>	>	X
ejpam-7126	106	34	η	η	PROPN
ejpam-7126	106	35	,	,	PUNCT
ejpam-7126	106	36	,	,	PUNCT
ejpam-7126	106	37	(	(	PUNCT
ejpam-7126	106	38	4	4	X
ejpam-7126	106	39	)	)	PUNCT
ejpam-7126	106	40	where	where	SCONJ
ejpam-7126	106	41	,	,	PUNCT
ejpam-7126	106	42	η	η	PROPN
ejpam-7126	106	43	is	be	AUX
ejpam-7126	106	44	the	the	DET
ejpam-7126	106	45	stress	stress	NOUN
ejpam-7126	106	46	change	change	NOUN
ejpam-7126	106	47	time	time	NOUN
ejpam-7126	106	48	,	,	PUNCT
ejpam-7126	106	49	the	the	DET
ejpam-7126	106	50	acceleration	acceleration	NOUN
ejpam-7126	106	51	factor	factor	NOUN
ejpam-7126	106	52	is	be	AUX
ejpam-7126	106	53	defined	define	VERB
ejpam-7126	106	54	by	by	ADP
ejpam-7126	106	55	λ	λ	NOUN
ejpam-7126	106	56	and	and	CCONJ
ejpam-7126	106	57	x	x	X
ejpam-7126	106	58	is	be	AUX
ejpam-7126	106	59	the	the	DET
ejpam-7126	106	60	lifetime	lifetime	NOUN
ejpam-7126	106	61	at	at	ADP
ejpam-7126	106	62	normal	normal	ADJ
ejpam-7126	106	63	conditions	condition	NOUN
ejpam-7126	106	64	.	.	PUNCT
ejpam-7126	107	1	when	when	SCONJ
ejpam-7126	107	2	,	,	PUNCT
ejpam-7126	107	3	the	the	DET
ejpam-7126	107	4	lifetime	lifetime	NOUN
ejpam-7126	107	5	of	of	ADP
ejpam-7126	107	6	unit	unit	NOUN
ejpam-7126	107	7	has	have	VERB
ejpam-7126	107	8	a	a	DET
ejpam-7126	107	9	pdf	pdf	NOUN
ejpam-7126	107	10	defined	define	VERB
ejpam-7126	107	11	by	by	ADP
ejpam-7126	107	12	(	(	PUNCT
ejpam-7126	107	13	1	1	NUM
ejpam-7126	107	14	)	)	PUNCT
ejpam-7126	107	15	with	with	ADP
ejpam-7126	107	16	parameter	parameter	PROPN
ejpam-7126	107	17	β	β	PROPN
ejpam-7126	107	18	,	,	PUNCT
ejpam-7126	107	19	the	the	DET
ejpam-7126	107	20	pdf	pdf	NOUN
ejpam-7126	107	21	of	of	ADP
ejpam-7126	107	22	total	total	ADJ
ejpam-7126	107	23	lifetime	lifetime	NOUN
ejpam-7126	107	24	t	t	PROPN
ejpam-7126	107	25	can	can	AUX
ejpam-7126	107	26	be	be	AUX
ejpam-7126	107	27	defined	define	VERB
ejpam-7126	107	28	by	by	ADP
ejpam-7126	107	29	f(t	f(t	NOUN
ejpam-7126	107	30	)	)	PUNCT
ejpam-7126	107	31	=	=	PUNCT
ejpam-7126	107	32			PROPN
ejpam-7126	107	33	f1(t	f1(t	PROPN
ejpam-7126	107	34	)	)	PUNCT
ejpam-7126	107	35	,	,	PUNCT
ejpam-7126	107	36	0	0	NUM
ejpam-7126	107	37	<	<	X
ejpam-7126	107	38	t	t	PROPN
ejpam-7126	107	39	≤	≤	PROPN
ejpam-7126	107	40	η	η	PROPN
ejpam-7126	107	41	f2(t	f2(t	PROPN
ejpam-7126	107	42	)	)	PUNCT
ejpam-7126	107	43	,	,	PUNCT
ejpam-7126	107	44	t	t	PROPN
ejpam-7126	107	45	>	>	X
ejpam-7126	107	46	η	η	PROPN
ejpam-7126	107	47	,	,	PUNCT
ejpam-7126	107	48	0	0	NUM
ejpam-7126	107	49	,	,	PUNCT
ejpam-7126	107	50	o.w	o.w	PROPN
ejpam-7126	107	51	.	.	PROPN
ejpam-7126	107	52	,	,	PUNCT
ejpam-7126	107	53	(	(	PUNCT
ejpam-7126	107	54	5	5	X
ejpam-7126	107	55	)	)	PUNCT
ejpam-7126	107	56	where	where	SCONJ
ejpam-7126	107	57	f2(t	f2(t	NOUN
ejpam-7126	107	58	)	)	PUNCT
ejpam-7126	107	59	can	can	AUX
ejpam-7126	107	60	be	be	AUX
ejpam-7126	107	61	obtained	obtain	VERB
ejpam-7126	107	62	from	from	ADP
ejpam-7126	107	63	f1(t	f1(t	PROPN
ejpam-7126	107	64	)	)	PUNCT
ejpam-7126	107	65	in	in	ADP
ejpam-7126	107	66	(	(	PUNCT
ejpam-7126	107	67	1	1	X
ejpam-7126	107	68	)	)	PUNCT
ejpam-7126	107	69	by	by	ADP
ejpam-7126	107	70	using	use	VERB
ejpam-7126	107	71	transformation	transformation	NOUN
ejpam-7126	107	72	technique	technique	NOUN
ejpam-7126	107	73	with	with	ADP
ejpam-7126	107	74	respect	respect	NOUN
ejpam-7126	107	75	to	to	ADP
ejpam-7126	107	76	transformation	transformation	NOUN
ejpam-7126	107	77	(	(	PUNCT
ejpam-7126	107	78	4	4	NUM
ejpam-7126	107	79	)	)	PUNCT
ejpam-7126	107	80	as	as	ADP
ejpam-7126	107	81	f2(t	f2(t	PROPN
ejpam-7126	107	82	)	)	PUNCT
ejpam-7126	107	83	=	=	PRON
ejpam-7126	107	84	β3λ	β3λ	PUNCT
ejpam-7126	107	85	β3	β3	VERB
ejpam-7126	107	86	+	+	NUM
ejpam-7126	107	87	2	2	NUM
ejpam-7126	107	88	(	(	PUNCT
ejpam-7126	107	89	β	β	X
ejpam-7126	107	90	+	+	X
ejpam-7126	107	91	(	(	PUNCT
ejpam-7126	107	92	η	η	PROPN
ejpam-7126	107	93	+	+	CCONJ
ejpam-7126	107	94	λ(t−	λ(t−	PROPN
ejpam-7126	107	95	η))2	η))2	NOUN
ejpam-7126	107	96	)	)	PUNCT
ejpam-7126	108	1	exp(−β(η	exp(−β(η	PROPN
ejpam-7126	108	2	+	+	CCONJ
ejpam-7126	108	3	λ(t−	λ(t−	PROPN
ejpam-7126	108	4	η	η	NOUN
ejpam-7126	108	5	)	)	PUNCT
ejpam-7126	108	6	)	)	PUNCT
ejpam-7126	108	7	)	)	PUNCT
ejpam-7126	108	8	,	,	PUNCT
ejpam-7126	108	9	t	t	X
ejpam-7126	108	10	>	>	X
ejpam-7126	108	11	0	0	PROPN
ejpam-7126	108	12	,	,	PUNCT
ejpam-7126	108	13	β	β	X
ejpam-7126	108	14	>	>	X
ejpam-7126	108	15	0	0	PROPN
ejpam-7126	108	16	,	,	PUNCT
ejpam-7126	108	17	λ	λ	X
ejpam-7126	108	18	≥	≥	NOUN
ejpam-7126	108	19	1	1	NUM
ejpam-7126	108	20	,	,	PUNCT
ejpam-7126	108	21	(	(	PUNCT
ejpam-7126	108	22	6	6	NUM
ejpam-7126	108	23	)	)	PUNCT
ejpam-7126	108	24	the	the	DET
ejpam-7126	108	25	cdf	cdf	PROPN
ejpam-7126	108	26	,	,	PUNCT
ejpam-7126	108	27	f	f	PROPN
ejpam-7126	108	28	(	(	PUNCT
ejpam-7126	108	29	.	.	PUNCT
ejpam-7126	108	30	)	)	PUNCT
ejpam-7126	109	1	under	under	ADP
ejpam-7126	109	2	accelerated	accelerated	ADJ
ejpam-7126	109	3	conditions	condition	NOUN
ejpam-7126	109	4	are	be	AUX
ejpam-7126	109	5	given	give	VERB
ejpam-7126	109	6	by	by	ADP
ejpam-7126	109	7	f2(t)=	f2(t)=	NOUN
ejpam-7126	109	8	{	{	PUNCT
ejpam-7126	109	9	1−	1−	NUM
ejpam-7126	109	10	(	(	PUNCT
ejpam-7126	109	11	1	1	NUM
ejpam-7126	109	12	+	+	NUM
ejpam-7126	109	13	β(η	β(η	PROPN
ejpam-7126	109	14	+	+	NUM
ejpam-7126	109	15	λ(t−	λ(t−	NUM
ejpam-7126	109	16	η))(β(η	η))(β(η	NOUN
ejpam-7126	109	17	+	+	CCONJ
ejpam-7126	109	18	λ(t−	λ(t−	X
ejpam-7126	109	19	η	η	NOUN
ejpam-7126	109	20	)	)	PUNCT
ejpam-7126	109	21	)	)	PUNCT
ejpam-7126	110	1	+	+	CCONJ
ejpam-7126	110	2	2	2	X
ejpam-7126	110	3	)	)	PUNCT
ejpam-7126	110	4	β3	β3	VERB
ejpam-7126	110	5	+	+	CCONJ
ejpam-7126	110	6	2	2	X
ejpam-7126	110	7	)	)	PUNCT
ejpam-7126	110	8	exp(−β(η	exp(−β(η	PROPN
ejpam-7126	110	9	+	+	CCONJ
ejpam-7126	110	10	λ(t−	λ(t−	PROPN
ejpam-7126	110	11	η	η	NOUN
ejpam-7126	110	12	)	)	PUNCT
ejpam-7126	110	13	)	)	PUNCT
ejpam-7126	110	14	)	)	PUNCT
ejpam-7126	110	15	,	,	PUNCT
ejpam-7126	110	16	(	(	PUNCT
ejpam-7126	110	17	7	7	X
ejpam-7126	110	18	)	)	PUNCT
ejpam-7126	110	19	remarks	remark	VERB
ejpam-7126	110	20	1	1	NUM
ejpam-7126	110	21	:	:	PUNCT
ejpam-7126	110	22	(	(	PUNCT
ejpam-7126	110	23	i	i	NOUN
ejpam-7126	110	24	)	)	PUNCT
ejpam-7126	111	1	when	when	SCONJ
ejpam-7126	111	2	r	r	NOUN
ejpam-7126	111	3	=	=	SYM
ejpam-7126	111	4	k	k	PROPN
ejpam-7126	111	5	=	=	SYM
ejpam-7126	111	6	j	j	PROPN
ejpam-7126	112	1	the	the	DET
ejpam-7126	112	2	accelerated	accelerated	ADJ
ejpam-7126	112	3	type	type	NOUN
ejpam-7126	112	4	-	-	PUNCT
ejpam-7126	112	5	i	i	PRON
ejpam-7126	112	6	ghcs	ghcs	VERB
ejpam-7126	112	7	reduce	reduce	VERB
ejpam-7126	112	8	to	to	ADP
ejpam-7126	112	9	normal	normal	ADJ
ejpam-7126	112	10	stress	stress	NOUN
ejpam-7126	112	11	case	case	NOUN
ejpam-7126	112	12	only	only	ADV
ejpam-7126	112	13	.	.	PUNCT
ejpam-7126	113	1	(	(	PUNCT
ejpam-7126	113	2	ii	ii	NOUN
ejpam-7126	113	3	)	)	PUNCT
ejpam-7126	113	4	when	when	SCONJ
ejpam-7126	113	5	r	r	NOUN
ejpam-7126	113	6	>	>	X
ejpam-7126	113	7	j	j	PROPN
ejpam-7126	113	8	the	the	DET
ejpam-7126	113	9	observed	observe	VERB
ejpam-7126	113	10	accelerated	accelerate	VERB
ejpam-7126	113	11	type	type	NOUN
ejpam-7126	113	12	-	-	PUNCT
ejpam-7126	113	13	i	i	PRON
ejpam-7126	113	14	ghc	ghc	NOUN
ejpam-7126	113	15	data	data	PROPN
ejpam-7126	113	16	t	t	PROPN
ejpam-7126	113	17	=(	=(	NOUN
ejpam-7126	113	18	t1	t1	PROPN
ejpam-7126	113	19	<	<	X
ejpam-7126	113	20	t2	t2	PROPN
ejpam-7126	113	21	<	<	X
ejpam-7126	113	22	...	...	PUNCT
ejpam-7126	113	23	<	<	X
ejpam-7126	113	24	tj	tj	X
ejpam-7126	113	25	<	<	X
ejpam-7126	113	26	τ	τ	X
ejpam-7126	113	27	<	<	X
ejpam-7126	113	28	tj+1	tj+1	X
ejpam-7126	113	29	<	<	X
ejpam-7126	113	30	...	...	PUNCT
ejpam-7126	113	31	<	<	X
ejpam-7126	113	32	tr	tr	VERB
ejpam-7126	113	33	)	)	PUNCT
ejpam-7126	113	34	and	and	CCONJ
ejpam-7126	113	35	the	the	DET
ejpam-7126	113	36	joint	joint	ADJ
ejpam-7126	113	37	likelihood	likelihood	NOUN
ejpam-7126	113	38	function	function	NOUN
ejpam-7126	113	39	is	be	AUX
ejpam-7126	113	40	given	give	VERB
ejpam-7126	113	41	by	by	ADP
ejpam-7126	113	42	l(t|λ	l(t|λ	PROPN
ejpam-7126	113	43	,	,	PUNCT
ejpam-7126	113	44	β	β	X
ejpam-7126	113	45	)	)	PUNCT
ejpam-7126	113	46	=	=	SYM
ejpam-7126	113	47	n	n	X
ejpam-7126	113	48	!	!	PUNCT
ejpam-7126	114	1	(	(	PUNCT
ejpam-7126	114	2	n−	n−	NOUN
ejpam-7126	114	3	r	r	NOUN
ejpam-7126	114	4	)	)	PUNCT
ejpam-7126	114	5	!	!	PUNCT
ejpam-7126	115	1	[	[	X
ejpam-7126	115	2	1−	1−	NUM
ejpam-7126	115	3	f2(tr	f2(tr	NUM
ejpam-7126	115	4	)	)	PUNCT
ejpam-7126	115	5	]	]	PUNCT
ejpam-7126	115	6	n−r	n−r	NOUN
ejpam-7126	115	7	(	(	PUNCT
ejpam-7126	115	8	j∏	j∏	PROPN
ejpam-7126	115	9	i=1	i=1	PROPN
ejpam-7126	115	10	f1(ti	f1(ti	PROPN
ejpam-7126	115	11	)	)	PUNCT
ejpam-7126	115	12	)	)	PUNCT
ejpam-7126	116	1	(	(	PUNCT
ejpam-7126	116	2	r∏	r∏	NOUN
ejpam-7126	116	3	i	i	NOUN
ejpam-7126	116	4	=	=	NOUN
ejpam-7126	116	5	j+1	j+1	PROPN
ejpam-7126	116	6	f2(ti	f2(ti	PROPN
ejpam-7126	116	7	)	)	PUNCT
ejpam-7126	116	8	)	)	PUNCT
ejpam-7126	116	9	,	,	PUNCT
ejpam-7126	116	10	(	(	PUNCT
ejpam-7126	116	11	8)	8)	NUM
ejpam-7126	116	12	3	3	NUM
ejpam-7126	116	13	.	.	PUNCT
ejpam-7126	116	14	point	point	NOUN
ejpam-7126	116	15	estimation	estimation	NOUN
ejpam-7126	116	16	in	in	ADP
ejpam-7126	116	17	this	this	DET
ejpam-7126	116	18	section	section	NOUN
ejpam-7126	116	19	,	,	PUNCT
ejpam-7126	116	20	for	for	SCONJ
ejpam-7126	116	21	the	the	DET
ejpam-7126	116	22	given	give	VERB
ejpam-7126	116	23	accelerated	accelerate	VERB
ejpam-7126	116	24	type	type	NOUN
ejpam-7126	116	25	-	-	PUNCT
ejpam-7126	116	26	i	i	PRON
ejpam-7126	116	27	ghc	ghc	NOUN
ejpam-7126	116	28	data	data	VERB
ejpam-7126	116	29	the	the	DET
ejpam-7126	116	30	point	point	NOUN
ejpam-7126	116	31	ml	ml	ADP
ejpam-7126	116	32	estimation	estimation	NOUN
ejpam-7126	116	33	of	of	ADP
ejpam-7126	116	34	the	the	DET
ejpam-7126	116	35	model	model	NOUN
ejpam-7126	116	36	parameters	parameter	NOUN
ejpam-7126	116	37	is	be	AUX
ejpam-7126	116	38	discussed	discuss	VERB
ejpam-7126	116	39	.	.	PUNCT
ejpam-7126	117	1	additionally	additionally	ADV
ejpam-7126	117	2	,	,	PUNCT
ejpam-7126	117	3	we	we	PRON
ejpam-7126	117	4	discuss	discuss	VERB
ejpam-7126	117	5	bayes	bayes	PROPN
ejpam-7126	117	6	point	point	NOUN
ejpam-7126	117	7	estimation	estimation	NOUN
ejpam-7126	117	8	with	with	ADP
ejpam-7126	117	9	gamma	gamma	PROPN
ejpam-7126	117	10	prior	prior	ADJ
ejpam-7126	117	11	information	information	NOUN
ejpam-7126	117	12	for	for	ADP
ejpam-7126	117	13	the	the	DET
ejpam-7126	117	14	i	i	PROPN
ejpam-7126	117	15	d	d	PROPN
ejpam-7126	117	16	parameter	parameter	NOUN
ejpam-7126	117	17	and	and	CCONJ
ejpam-7126	117	18	non	non	ADJ
ejpam-7126	117	19	-	-	ADJ
ejpam-7126	117	20	informative	informative	ADJ
ejpam-7126	117	21	prior	prior	ADJ
ejpam-7126	117	22	information	information	NOUN
ejpam-7126	117	23	for	for	ADP
ejpam-7126	117	24	the	the	DET
ejpam-7126	117	25	accelerated	accelerated	ADJ
ejpam-7126	117	26	factor	factor	NOUN
ejpam-7126	117	27	.	.	PUNCT
ejpam-7126	118	1	s.	s.	PROPN
ejpam-7126	118	2	k.	k.	PROPN
ejpam-7126	118	3	badr	badr	PROPN
ejpam-7126	118	4	/	/	SYM
ejpam-7126	118	5	eur	eur	PROPN
ejpam-7126	118	6	.	.	PUNCT
ejpam-7126	119	1	j.	j.	PROPN
ejpam-7126	119	2	pure	pure	PROPN
ejpam-7126	119	3	appl	appl	PROPN
ejpam-7126	119	4	.	.	PROPN
ejpam-7126	119	5	math	math	PROPN
ejpam-7126	119	6	,	,	PUNCT
ejpam-7126	119	7	18	18	NUM
ejpam-7126	119	8	(	(	PUNCT
ejpam-7126	119	9	4	4	NUM
ejpam-7126	119	10	)	)	PUNCT
ejpam-7126	119	11	(	(	PUNCT
ejpam-7126	119	12	2025	2025	NUM
ejpam-7126	119	13	)	)	PUNCT
ejpam-7126	119	14	,	,	PUNCT
ejpam-7126	119	15	7126	7126	NUM
ejpam-7126	119	16	6	6	NUM
ejpam-7126	119	17	of	of	ADP
ejpam-7126	119	18	20	20	NUM
ejpam-7126	119	19	3.1	3.1	NUM
ejpam-7126	119	20	.	.	PUNCT
ejpam-7126	120	1	point	point	NOUN
ejpam-7126	120	2	ml	ml	ADP
ejpam-7126	120	3	estimation	estimation	NOUN
ejpam-7126	120	4	from	from	ADP
ejpam-7126	120	5	(	(	PUNCT
ejpam-7126	120	6	1	1	NUM
ejpam-7126	120	7	)	)	PUNCT
ejpam-7126	120	8	and	and	CCONJ
ejpam-7126	120	9	(	(	PUNCT
ejpam-7126	120	10	4	4	NUM
ejpam-7126	120	11	)	)	PUNCT
ejpam-7126	121	1	,	,	PUNCT
ejpam-7126	121	2	the	the	DET
ejpam-7126	121	3	joint	joint	ADJ
ejpam-7126	121	4	likelihood	likelihood	NOUN
ejpam-7126	121	5	function	function	NOUN
ejpam-7126	121	6	(	(	PUNCT
ejpam-7126	121	7	8)	8)	NUM
ejpam-7126	121	8	for	for	ADP
ejpam-7126	121	9	observed	observed	ADJ
ejpam-7126	121	10	accelerated	accelerate	VERB
ejpam-7126	121	11	type	type	NOUN
ejpam-7126	121	12	-	-	PUNCT
ejpam-7126	121	13	i	i	PRON
ejpam-7126	121	14	ghc	ghc	NOUN
ejpam-7126	121	15	data	data	PROPN
ejpam-7126	121	16	t	t	PROPN
ejpam-7126	121	17	=(	=(	PROPN
ejpam-7126	121	18	t1	t1	PROPN
ejpam-7126	121	19	,	,	PUNCT
ejpam-7126	121	20	t2	t2	NOUN
ejpam-7126	121	21	,	,	PUNCT
ejpam-7126	121	22	...	...	PUNCT
ejpam-7126	121	23	,	,	PUNCT
ejpam-7126	121	24	tj	tj	X
ejpam-7126	121	25	,	,	PUNCT
ejpam-7126	121	26	tj+1	tj+1	PROPN
ejpam-7126	121	27	,	,	PUNCT
ejpam-7126	121	28	...	...	PUNCT
ejpam-7126	121	29	,	,	PUNCT
ejpam-7126	121	30	tr	tr	VERB
ejpam-7126	121	31	)	)	PUNCT
ejpam-7126	121	32	is	be	AUX
ejpam-7126	121	33	given	give	VERB
ejpam-7126	121	34	by	by	ADP
ejpam-7126	121	35	l	l	PROPN
ejpam-7126	121	36	(	(	PUNCT
ejpam-7126	121	37	λ	λ	NOUN
ejpam-7126	121	38	,	,	PUNCT
ejpam-7126	121	39	β|t	β|t	PUNCT
ejpam-7126	121	40	)	)	PUNCT
ejpam-7126	121	41	∝	∝	PROPN
ejpam-7126	121	42	(	(	PUNCT
ejpam-7126	121	43	β3	β3	INTJ
ejpam-7126	121	44	β3	β3	VERB
ejpam-7126	121	45	+	+	NOUN
ejpam-7126	121	46	2	2	NUM
ejpam-7126	121	47	)	)	PUNCT
ejpam-7126	121	48	r	r	NOUN
ejpam-7126	121	49	λr−j	λr−j	NOUN
ejpam-7126	121	50	(	(	PUNCT
ejpam-7126	121	51	j∏	j∏	PROPN
ejpam-7126	121	52	i=1	i=1	PROPN
ejpam-7126	121	53	(	(	PUNCT
ejpam-7126	121	54	β	β	X
ejpam-7126	121	55	+	+	PUNCT
ejpam-7126	121	56	t2i	t2i	CCONJ
ejpam-7126	121	57	)	)	PUNCT
ejpam-7126	121	58	)	)	PUNCT
ejpam-7126	122	1	(	(	PUNCT
ejpam-7126	122	2	r∏	r∏	NOUN
ejpam-7126	122	3	i	i	NOUN
ejpam-7126	122	4	=	=	NOUN
ejpam-7126	122	5	j+1	j+1	X
ejpam-7126	122	6	(	(	PUNCT
ejpam-7126	122	7	β	β	X
ejpam-7126	122	8	+	+	X
ejpam-7126	122	9	(	(	PUNCT
ejpam-7126	122	10	η	η	PROPN
ejpam-7126	122	11	+	+	PROPN
ejpam-7126	122	12	λ(ti	λ(ti	PROPN
ejpam-7126	122	13	−	−	PROPN
ejpam-7126	122	14	η))2	η))2	NOUN
ejpam-7126	122	15	)	)	PUNCT
ejpam-7126	122	16	)	)	PUNCT
ejpam-7126	122	17	×	×	NOUN
ejpam-7126	122	18	(	(	PUNCT
ejpam-7126	122	19	1	1	NUM
ejpam-7126	122	20	+	+	NUM
ejpam-7126	122	21	β(η	β(η	PROPN
ejpam-7126	122	22	+	+	NUM
ejpam-7126	122	23	λ(tr	λ(tr	PROPN
ejpam-7126	122	24	−	−	NOUN
ejpam-7126	122	25	η))(β(η	η))(β(η	PROPN
ejpam-7126	123	1	+	+	CCONJ
ejpam-7126	124	1	λ(tr	λ(tr	PROPN
ejpam-7126	124	2	−	−	PROPN
ejpam-7126	124	3	η	η	PROPN
ejpam-7126	124	4	)	)	PUNCT
ejpam-7126	124	5	)	)	PUNCT
ejpam-7126	125	1	+	+	CCONJ
ejpam-7126	125	2	2	2	X
ejpam-7126	125	3	)	)	PUNCT
ejpam-7126	125	4	β3	β3	VERB
ejpam-7126	125	5	+	+	NOUN
ejpam-7126	125	6	2	2	NUM
ejpam-7126	125	7	)	)	PUNCT
ejpam-7126	125	8	(	(	PUNCT
ejpam-7126	125	9	n−r	n−r	NOUN
ejpam-7126	125	10	)	)	PUNCT
ejpam-7126	125	11	×	×	NOUN
ejpam-7126	125	12	exp	exp	NOUN
ejpam-7126	125	13	{	{	PUNCT
ejpam-7126	125	14	−β	−β	PROPN
ejpam-7126	125	15	j∑	j∑	PROPN
ejpam-7126	125	16	i=1	i=1	PROPN
ejpam-7126	126	1	ti	ti	X
ejpam-7126	126	2	−	−	NOUN
ejpam-7126	126	3	β	β	X
ejpam-7126	126	4	r∑	r∑	NOUN
ejpam-7126	126	5	i	i	NOUN
ejpam-7126	126	6	=	=	NOUN
ejpam-7126	126	7	j+1	j+1	X
ejpam-7126	126	8	(	(	PUNCT
ejpam-7126	126	9	η	η	X
ejpam-7126	126	10	+	+	NOUN
ejpam-7126	126	11	λ(ti	λ(ti	NOUN
ejpam-7126	126	12	−	−	PROPN
ejpam-7126	126	13	η)−	η)−	PROPN
ejpam-7126	126	14	β(n−	β(n−	NUM
ejpam-7126	126	15	r)(η	r)(η	X
ejpam-7126	127	1	+	+	CCONJ
ejpam-7126	127	2	λ(tr	λ(tr	PROPN
ejpam-7126	127	3	−	−	PROPN
ejpam-7126	127	4	η	η	PROPN
ejpam-7126	127	5	)	)	PUNCT
ejpam-7126	127	6	)	)	PUNCT
ejpam-7126	127	7	}	}	PUNCT
ejpam-7126	127	8	.	.	PUNCT
ejpam-7126	128	1	(	(	PUNCT
ejpam-7126	128	2	9	9	X
ejpam-7126	128	3	)	)	PUNCT
ejpam-7126	128	4	taken	take	VERB
ejpam-7126	128	5	the	the	DET
ejpam-7126	128	6	natural	natural	ADJ
ejpam-7126	128	7	logarithm	logarithm	NOUN
ejpam-7126	128	8	of	of	ADP
ejpam-7126	128	9	the	the	DET
ejpam-7126	128	10	joint	joint	ADJ
ejpam-7126	128	11	function	function	NOUN
ejpam-7126	128	12	(	(	PUNCT
ejpam-7126	128	13	9	9	NUM
ejpam-7126	128	14	)	)	PUNCT
ejpam-7126	128	15	as	as	ADP
ejpam-7126	128	16	ℓ	ℓ	PROPN
ejpam-7126	128	17	(	(	PUNCT
ejpam-7126	128	18	λ	λ	PROPN
ejpam-7126	128	19	,	,	PUNCT
ejpam-7126	128	20	β|t	β|t	PUNCT
ejpam-7126	128	21	)	)	PUNCT
ejpam-7126	129	1	=	=	SYM
ejpam-7126	129	2	r	r	NOUN
ejpam-7126	129	3	log	log	NOUN
ejpam-7126	129	4	[	[	PUNCT
ejpam-7126	129	5	β3	β3	INTJ
ejpam-7126	129	6	β3	β3	VERB
ejpam-7126	129	7	+	+	NOUN
ejpam-7126	129	8	2	2	NUM
ejpam-7126	129	9	]	]	PUNCT
ejpam-7126	130	1	+	+	CCONJ
ejpam-7126	130	2	(	(	PUNCT
ejpam-7126	130	3	r	r	NOUN
ejpam-7126	130	4	−	−	PROPN
ejpam-7126	130	5	j	j	PROPN
ejpam-7126	130	6	)	)	PUNCT
ejpam-7126	130	7	log	log	NOUN
ejpam-7126	130	8	λ+	λ+	PUNCT
ejpam-7126	130	9	r∑	r∑	X
ejpam-7126	130	10	i	i	NOUN
ejpam-7126	130	11	=	=	NOUN
ejpam-7126	130	12	j+1	j+1	X
ejpam-7126	130	13	log	log	NOUN
ejpam-7126	130	14	[	[	PUNCT
ejpam-7126	130	15	β	β	X
ejpam-7126	130	16	+	+	X
ejpam-7126	130	17	(	(	PUNCT
ejpam-7126	130	18	η	η	PROPN
ejpam-7126	130	19	+	+	PROPN
ejpam-7126	130	20	λ(ti	λ(ti	PROPN
ejpam-7126	130	21	−	−	PROPN
ejpam-7126	130	22	η))2	η))2	NOUN
ejpam-7126	130	23	]	]	PUNCT
ejpam-7126	131	1	+	+	CCONJ
ejpam-7126	131	2	(	(	PUNCT
ejpam-7126	131	3	n−	n−	NOUN
ejpam-7126	131	4	r	r	NOUN
ejpam-7126	131	5	)	)	PUNCT
ejpam-7126	131	6	(	(	PUNCT
ejpam-7126	131	7	log	log	VERB
ejpam-7126	131	8	[	[	PUNCT
ejpam-7126	131	9	β3	β3	VERB
ejpam-7126	131	10	+	+	CCONJ
ejpam-7126	131	11	2	2	NUM
ejpam-7126	131	12	+	+	CCONJ
ejpam-7126	131	13	β(η	β(η	PROPN
ejpam-7126	131	14	+	+	NUM
ejpam-7126	131	15	λ(tr	λ(tr	PROPN
ejpam-7126	131	16	−	−	NOUN
ejpam-7126	131	17	η))(β(η	η))(β(η	PROPN
ejpam-7126	131	18	+	+	CCONJ
ejpam-7126	131	19	λ(tr	λ(tr	PROPN
ejpam-7126	131	20	−	−	PROPN
ejpam-7126	131	21	η	η	PROPN
ejpam-7126	131	22	)	)	PUNCT
ejpam-7126	131	23	)	)	PUNCT
ejpam-7126	132	1	+	+	CCONJ
ejpam-7126	132	2	2	2	X
ejpam-7126	132	3	)	)	PUNCT
ejpam-7126	132	4	]	]	PUNCT
ejpam-7126	132	5	−	−	PROPN
ejpam-7126	132	6	log	log	NOUN
ejpam-7126	132	7	[	[	PUNCT
ejpam-7126	132	8	β3	β3	VERB
ejpam-7126	132	9	+	+	NOUN
ejpam-7126	132	10	2	2	NUM
ejpam-7126	132	11	]	]	PUNCT
ejpam-7126	132	12	)	)	PUNCT
ejpam-7126	133	1	+	+	CCONJ
ejpam-7126	133	2	j∑	j∑	PROPN
ejpam-7126	133	3	i=1	i=1	PROPN
ejpam-7126	133	4	log	log	PROPN
ejpam-7126	133	5	[	[	PUNCT
ejpam-7126	133	6	β	β	X
ejpam-7126	133	7	+	+	PUNCT
ejpam-7126	133	8	t2i	t2i	CCONJ
ejpam-7126	133	9	]	]	PUNCT
ejpam-7126	133	10	−	−	PROPN
ejpam-7126	133	11	β	β	X
ejpam-7126	134	1	j∑	j∑	PROPN
ejpam-7126	134	2	i=1	i=1	PROPN
ejpam-7126	134	3	ti	ti	X
ejpam-7126	134	4	−	−	X
ejpam-7126	134	5	β	β	X
ejpam-7126	134	6	r∑	r∑	NOUN
ejpam-7126	134	7	i	i	NOUN
ejpam-7126	134	8	=	=	NOUN
ejpam-7126	134	9	j+1	j+1	X
ejpam-7126	134	10	(	(	PUNCT
ejpam-7126	134	11	η	η	X
ejpam-7126	134	12	+	+	NOUN
ejpam-7126	134	13	λ(ti	λ(ti	NOUN
ejpam-7126	134	14	−	−	PROPN
ejpam-7126	134	15	η)−	η)−	PROPN
ejpam-7126	134	16	β(n−	β(n−	NUM
ejpam-7126	134	17	r)(η	r)(η	X
ejpam-7126	135	1	+	+	CCONJ
ejpam-7126	135	2	λ(ti	λ(ti	PROPN
ejpam-7126	135	3	−	−	PROPN
ejpam-7126	135	4	η	η	PROPN
ejpam-7126	135	5	)	)	PUNCT
ejpam-7126	135	6	)	)	PUNCT
ejpam-7126	135	7	.	.	PUNCT
ejpam-7126	136	1	(	(	PUNCT
ejpam-7126	136	2	10	10	NUM
ejpam-7126	136	3	)	)	PUNCT
ejpam-7126	136	4	for	for	ADP
ejpam-7126	136	5	simpilicty	simpilicty	VERB
ejpam-7126	136	6	the	the	DET
ejpam-7126	136	7	log	log	NOUN
ejpam-7126	136	8	-	-	PUNCT
ejpam-7126	136	9	likelihood	likelihood	NOUN
ejpam-7126	136	10	function	function	NOUN
ejpam-7126	136	11	experssed	expersse	VERB
ejpam-7126	136	12	as	as	ADP
ejpam-7126	136	13	ℓ	ℓ	PROPN
ejpam-7126	136	14	(	(	PUNCT
ejpam-7126	136	15	λ	λ	PROPN
ejpam-7126	136	16	,	,	PUNCT
ejpam-7126	136	17	β|t	β|t	PUNCT
ejpam-7126	136	18	)	)	PUNCT
ejpam-7126	136	19	=	=	SYM
ejpam-7126	136	20	r	r	NOUN
ejpam-7126	136	21	log	log	NOUN
ejpam-7126	136	22	[	[	PUNCT
ejpam-7126	136	23	β3	β3	INTJ
ejpam-7126	136	24	β3	β3	VERB
ejpam-7126	136	25	+	+	NOUN
ejpam-7126	136	26	2	2	NUM
ejpam-7126	136	27	]	]	PUNCT
ejpam-7126	137	1	+	+	CCONJ
ejpam-7126	137	2	(	(	PUNCT
ejpam-7126	137	3	r	r	NOUN
ejpam-7126	137	4	−	−	PROPN
ejpam-7126	137	5	j	j	PROPN
ejpam-7126	137	6	)	)	PUNCT
ejpam-7126	137	7	log	log	NOUN
ejpam-7126	137	8	λ+	λ+	PUNCT
ejpam-7126	137	9	j∑	j∑	PROPN
ejpam-7126	137	10	i=1	i=1	PROPN
ejpam-7126	137	11	log	log	PROPN
ejpam-7126	137	12	[	[	PUNCT
ejpam-7126	137	13	β	β	X
ejpam-7126	137	14	+	+	PUNCT
ejpam-7126	137	15	t2i	t2i	CCONJ
ejpam-7126	137	16	]	]	PUNCT
ejpam-7126	138	1	+	+	CCONJ
ejpam-7126	138	2	r∑	r∑	NOUN
ejpam-7126	138	3	i	i	NOUN
ejpam-7126	138	4	=	=	NOUN
ejpam-7126	138	5	j+1	j+1	X
ejpam-7126	138	6	log	log	NOUN
ejpam-7126	138	7	[	[	PUNCT
ejpam-7126	138	8	β	β	X
ejpam-7126	138	9	+	+	NUM
ejpam-7126	138	10	z2i	z2i	NOUN
ejpam-7126	138	11	]	]	PUNCT
ejpam-7126	139	1	−	−	PUNCT
ejpam-7126	140	1	β	β	X
ejpam-7126	140	2	j∑	j∑	PROPN
ejpam-7126	140	3	i=1	i=1	X
ejpam-7126	140	4	ti	ti	VERB
ejpam-7126	140	5	−β	−β	ADJ
ejpam-7126	140	6	r∑	r∑	NOUN
ejpam-7126	140	7	i	i	PROPN
ejpam-7126	140	8	=	=	NOUN
ejpam-7126	140	9	j+1	j+1	PART
ejpam-7126	140	10	zi	zi	NOUN
ejpam-7126	140	11	−	−	NOUN
ejpam-7126	140	12	β(n−	β(n−	PROPN
ejpam-7126	140	13	r)zr	r)zr	PROPN
ejpam-7126	140	14	+	+	CCONJ
ejpam-7126	140	15	(	(	PUNCT
ejpam-7126	140	16	n−	n−	NOUN
ejpam-7126	140	17	r	r	NOUN
ejpam-7126	140	18	)	)	PUNCT
ejpam-7126	140	19	(	(	PUNCT
ejpam-7126	140	20	log	log	VERB
ejpam-7126	140	21	[	[	PUNCT
ejpam-7126	140	22	β3	β3	VERB
ejpam-7126	140	23	+	+	NUM
ejpam-7126	140	24	2	2	NUM
ejpam-7126	140	25	+	+	CCONJ
ejpam-7126	140	26	βzr(βzr	βzr(βzr	X
ejpam-7126	141	1	+	+	CCONJ
ejpam-7126	141	2	2	2	NUM
ejpam-7126	141	3	)	)	PUNCT
ejpam-7126	141	4	]	]	PUNCT
ejpam-7126	141	5	−	−	PROPN
ejpam-7126	141	6	log	log	NOUN
ejpam-7126	141	7	[	[	PUNCT
ejpam-7126	141	8	β3	β3	VERB
ejpam-7126	141	9	+	+	NOUN
ejpam-7126	141	10	2	2	NUM
ejpam-7126	141	11	]	]	PUNCT
ejpam-7126	141	12	)	)	PUNCT
ejpam-7126	141	13	,	,	PUNCT
ejpam-7126	141	14	(	(	PUNCT
ejpam-7126	141	15	11	11	NUM
ejpam-7126	141	16	)	)	PUNCT
ejpam-7126	141	17	where	where	SCONJ
ejpam-7126	141	18	,	,	PUNCT
ejpam-7126	141	19	zi	zi	NOUN
ejpam-7126	141	20	=	=	PROPN
ejpam-7126	141	21	η+λ(ti−	η+λ(ti−	PROPN
ejpam-7126	141	22	η	η	PROPN
ejpam-7126	141	23	)	)	PUNCT
ejpam-7126	141	24	.	.	PUNCT
ejpam-7126	142	1	the	the	DET
ejpam-7126	142	2	likelihood	likelihood	NOUN
ejpam-7126	142	3	equations	equation	NOUN
ejpam-7126	142	4	is	be	AUX
ejpam-7126	142	5	obtained	obtain	VERB
ejpam-7126	142	6	from	from	ADP
ejpam-7126	142	7	(	(	PUNCT
ejpam-7126	142	8	11	11	NUM
ejpam-7126	142	9	)	)	PUNCT
ejpam-7126	142	10	by	by	ADP
ejpam-7126	142	11	taken	take	VERB
ejpam-7126	142	12	the	the	DET
ejpam-7126	142	13	first	first	ADJ
ejpam-7126	142	14	partially	partially	ADV
ejpam-7126	142	15	derivatives	derivative	VERB
ejpam-7126	142	16	respect	respect	NOUN
ejpam-7126	142	17	to	to	ADP
ejpam-7126	142	18	β	β	PROPN
ejpam-7126	142	19	and	and	CCONJ
ejpam-7126	142	20	λ	λ	PROPN
ejpam-7126	142	21	as	as	SCONJ
ejpam-7126	142	22	follows	follow	VERB
ejpam-7126	142	23	∂ℓ	∂ℓ	PROPN
ejpam-7126	142	24	(	(	PUNCT
ejpam-7126	142	25	λ	λ	PROPN
ejpam-7126	142	26	,	,	PUNCT
ejpam-7126	142	27	β|t	β|t	PUNCT
ejpam-7126	142	28	)	)	PUNCT
ejpam-7126	143	1	∂β	∂β	PROPN
ejpam-7126	143	2	=	=	PUNCT
ejpam-7126	143	3	6r	6r	NUM
ejpam-7126	143	4	β	β	NOUN
ejpam-7126	143	5	(	(	PUNCT
ejpam-7126	143	6	β3	β3	VERB
ejpam-7126	143	7	+	+	NOUN
ejpam-7126	143	8	2	2	NUM
ejpam-7126	143	9	)	)	PUNCT
ejpam-7126	144	1	+	+	CCONJ
ejpam-7126	144	2	j∑	j∑	X
ejpam-7126	144	3	i=1	i=1	PROPN
ejpam-7126	144	4	1	1	NUM
ejpam-7126	144	5	β	β	X
ejpam-7126	144	6	+	+	CCONJ
ejpam-7126	144	7	t2i	t2i	CCONJ
ejpam-7126	144	8	+	+	CCONJ
ejpam-7126	144	9	log	log	VERB
ejpam-7126	144	10	r∑	r∑	NOUN
ejpam-7126	144	11	i	i	NOUN
ejpam-7126	144	12	=	=	NOUN
ejpam-7126	144	13	j+1	j+1	PROPN
ejpam-7126	144	14	1	1	NUM
ejpam-7126	144	15	β	β	X
ejpam-7126	144	16	+	+	PROPN
ejpam-7126	144	17	z2i	z2i	NOUN
ejpam-7126	144	18	−	−	PROPN
ejpam-7126	145	1	j∑	j∑	PROPN
ejpam-7126	145	2	i=1	i=1	X
ejpam-7126	146	1	ti	ti	NOUN
ejpam-7126	146	2	−	−	NOUN
ejpam-7126	146	3	r∑	r∑	NOUN
ejpam-7126	146	4	i	i	NOUN
ejpam-7126	146	5	=	=	NOUN
ejpam-7126	146	6	j+1	j+1	PART
ejpam-7126	146	7	zi	zi	NOUN
ejpam-7126	146	8	−	−	PROPN
ejpam-7126	146	9	(	(	PUNCT
ejpam-7126	146	10	n−	n−	PROPN
ejpam-7126	146	11	r)zr	r)zr	NOUN
ejpam-7126	146	12	+	+	CCONJ
ejpam-7126	146	13	(	(	PUNCT
ejpam-7126	146	14	n−	n−	NOUN
ejpam-7126	146	15	r	r	NOUN
ejpam-7126	146	16	)	)	PUNCT
ejpam-7126	146	17	(	(	PUNCT
ejpam-7126	147	1	3β2	3β2	NUM
ejpam-7126	147	2	+	+	NUM
ejpam-7126	147	3	zr(βzr	zr(βzr	X
ejpam-7126	147	4	+	+	CCONJ
ejpam-7126	147	5	2	2	X
ejpam-7126	147	6	)	)	PUNCT
ejpam-7126	147	7	+	+	CCONJ
ejpam-7126	147	8	β2z2r	β2z2r	PUNCT
ejpam-7126	147	9	β3	β3	ADJ
ejpam-7126	147	10	+	+	NUM
ejpam-7126	147	11	2	2	NUM
ejpam-7126	147	12	+	+	CCONJ
ejpam-7126	147	13	βzr(βzr	βzr(βzr	X
ejpam-7126	148	1	+	+	CCONJ
ejpam-7126	148	2	2	2	X
ejpam-7126	148	3	)	)	PUNCT
ejpam-7126	148	4	−	−	NOUN
ejpam-7126	149	1	3β2	3β2	NUM
ejpam-7126	149	2	β3	β3	ADJ
ejpam-7126	149	3	+	+	NOUN
ejpam-7126	149	4	2	2	NUM
ejpam-7126	149	5	)	)	PUNCT
ejpam-7126	149	6	=	=	SYM
ejpam-7126	149	7	0	0	NUM
ejpam-7126	149	8	,	,	PUNCT
ejpam-7126	149	9	(	(	PUNCT
ejpam-7126	149	10	12	12	NUM
ejpam-7126	149	11	)	)	PUNCT
ejpam-7126	149	12	and	and	CCONJ
ejpam-7126	149	13	∂ℓ	∂ℓ	PROPN
ejpam-7126	149	14	(	(	PUNCT
ejpam-7126	149	15	λ	λ	PROPN
ejpam-7126	149	16	,	,	PUNCT
ejpam-7126	149	17	β|t	β|t	PUNCT
ejpam-7126	149	18	)	)	PUNCT
ejpam-7126	150	1	∂λ	∂λ	PROPN
ejpam-7126	150	2	=	=	SYM
ejpam-7126	150	3	r	r	NOUN
ejpam-7126	150	4	−	−	PROPN
ejpam-7126	151	1	j	j	PROPN
ejpam-7126	151	2	λ	λ	PROPN
ejpam-7126	151	3	+	+	CCONJ
ejpam-7126	151	4	r∑	r∑	NOUN
ejpam-7126	151	5	i	i	NOUN
ejpam-7126	151	6	=	=	NOUN
ejpam-7126	151	7	j+1	j+1	SYM
ejpam-7126	151	8	2zi(ti	2zi(ti	NUM
ejpam-7126	151	9	−	−	PROPN
ejpam-7126	151	10	η	η	PROPN
ejpam-7126	151	11	)	)	PUNCT
ejpam-7126	151	12	β	β	PROPN
ejpam-7126	152	1	+	+	NUM
ejpam-7126	152	2	zi	zi	NOUN
ejpam-7126	152	3	−	−	NOUN
ejpam-7126	152	4	β	β	NOUN
ejpam-7126	152	5	r∑	r∑	NOUN
ejpam-7126	152	6	i	i	NOUN
ejpam-7126	152	7	=	=	NOUN
ejpam-7126	152	8	j+1	j+1	X
ejpam-7126	152	9	(	(	PUNCT
ejpam-7126	152	10	ti	ti	NOUN
ejpam-7126	152	11	−	−	PROPN
ejpam-7126	152	12	η)−	η)−	PROPN
ejpam-7126	152	13	β(n−	β(n−	PROPN
ejpam-7126	152	14	r)(tr	r)(tr	NOUN
ejpam-7126	152	15	−	−	PROPN
ejpam-7126	152	16	η	η	PROPN
ejpam-7126	152	17	)	)	PUNCT
ejpam-7126	152	18	s.	s.	PROPN
ejpam-7126	152	19	k.	k.	PROPN
ejpam-7126	152	20	badr	badr	PROPN
ejpam-7126	152	21	/	/	SYM
ejpam-7126	152	22	eur	eur	PROPN
ejpam-7126	152	23	.	.	PUNCT
ejpam-7126	153	1	j.	j.	PROPN
ejpam-7126	153	2	pure	pure	PROPN
ejpam-7126	153	3	appl	appl	PROPN
ejpam-7126	153	4	.	.	PROPN
ejpam-7126	153	5	math	math	PROPN
ejpam-7126	153	6	,	,	PUNCT
ejpam-7126	153	7	18	18	NUM
ejpam-7126	153	8	(	(	PUNCT
ejpam-7126	153	9	4	4	NUM
ejpam-7126	153	10	)	)	PUNCT
ejpam-7126	153	11	(	(	PUNCT
ejpam-7126	153	12	2025	2025	NUM
ejpam-7126	153	13	)	)	PUNCT
ejpam-7126	153	14	,	,	PUNCT
ejpam-7126	153	15	7126	7126	NUM
ejpam-7126	153	16	7	7	NUM
ejpam-7126	153	17	of	of	ADP
ejpam-7126	153	18	20	20	NUM
ejpam-7126	153	19	+	+	CCONJ
ejpam-7126	153	20	(	(	PUNCT
ejpam-7126	153	21	n−	n−	NOUN
ejpam-7126	153	22	r	r	NOUN
ejpam-7126	153	23	)	)	PUNCT
ejpam-7126	153	24	(	(	PUNCT
ejpam-7126	153	25	β(tr	β(tr	PROPN
ejpam-7126	153	26	−	−	PROPN
ejpam-7126	153	27	η)(βzr	η)(βzr	NOUN
ejpam-7126	153	28	+	+	CCONJ
ejpam-7126	153	29	2	2	NUM
ejpam-7126	153	30	)	)	PUNCT
ejpam-7126	153	31	+	+	CCONJ
ejpam-7126	153	32	β2(tr	β2(tr	PROPN
ejpam-7126	153	33	−	−	PROPN
ejpam-7126	153	34	η)zr	η)zr	PROPN
ejpam-7126	153	35	β3	β3	PROPN
ejpam-7126	153	36	+	+	NUM
ejpam-7126	153	37	2	2	NUM
ejpam-7126	153	38	+	+	CCONJ
ejpam-7126	153	39	βzr(βzr	βzr(βzr	X
ejpam-7126	154	1	+	+	CCONJ
ejpam-7126	154	2	2	2	NUM
ejpam-7126	154	3	)	)	PUNCT
ejpam-7126	154	4	)	)	PUNCT
ejpam-7126	155	1	=	=	SYM
ejpam-7126	155	2	0	0	NUM
ejpam-7126	155	3	,	,	PUNCT
ejpam-7126	155	4	(	(	PUNCT
ejpam-7126	155	5	13	13	NUM
ejpam-7126	155	6	)	)	PUNCT
ejpam-7126	155	7	equations	equation	NOUN
ejpam-7126	155	8	(	(	PUNCT
ejpam-7126	155	9	12	12	NUM
ejpam-7126	155	10	)	)	PUNCT
ejpam-7126	155	11	and	and	CCONJ
ejpam-7126	155	12	(	(	PUNCT
ejpam-7126	155	13	13	13	NUM
ejpam-7126	155	14	)	)	PUNCT
ejpam-7126	155	15	have	have	AUX
ejpam-7126	155	16	shown	show	VERB
ejpam-7126	155	17	that	that	SCONJ
ejpam-7126	155	18	,	,	PUNCT
ejpam-7126	155	19	the	the	DET
ejpam-7126	155	20	ml	ml	NOUN
ejpam-7126	155	21	estimate	estimate	NOUN
ejpam-7126	155	22	of	of	ADP
ejpam-7126	155	23	the	the	DET
ejpam-7126	155	24	parameters	parameter	NOUN
ejpam-7126	155	25	λ	λ	PROPN
ejpam-7126	155	26	and	and	CCONJ
ejpam-7126	155	27	β	β	X
ejpam-7126	155	28	is	be	AUX
ejpam-7126	155	29	defined	define	VERB
ejpam-7126	155	30	in	in	ADP
ejpam-7126	155	31	the	the	DET
ejpam-7126	155	32	form	form	NOUN
ejpam-7126	155	33	of	of	ADP
ejpam-7126	155	34	two	two	NUM
ejpam-7126	155	35	non	non	ADJ
ejpam-7126	155	36	-	-	ADJ
ejpam-7126	155	37	linear	linear	ADJ
ejpam-7126	155	38	equations	equation	NOUN
ejpam-7126	155	39	.	.	PUNCT
ejpam-7126	156	1	therefore	therefore	ADV
ejpam-7126	156	2	,	,	PUNCT
ejpam-7126	156	3	the	the	DET
ejpam-7126	156	4	estimated	estimate	VERB
ejpam-7126	156	5	λ̂	λ̂	X
ejpam-7126	156	6	and	and	CCONJ
ejpam-7126	156	7	β̂	β̂	AUX
ejpam-7126	156	8	can	can	AUX
ejpam-7126	156	9	be	be	AUX
ejpam-7126	156	10	obtained	obtain	VERB
ejpam-7126	156	11	by	by	ADP
ejpam-7126	156	12	applied	apply	VERB
ejpam-7126	156	13	any	any	DET
ejpam-7126	156	14	iteration	iteration	NOUN
ejpam-7126	156	15	method	method	NOUN
ejpam-7126	156	16	such	such	ADJ
ejpam-7126	156	17	as	as	ADP
ejpam-7126	156	18	newton	newton	PROPN
ejpam-7126	156	19	raphson	raphson	PROPN
ejpam-7126	156	20	iteration	iteration	NOUN
ejpam-7126	156	21	.	.	PUNCT
ejpam-7126	157	1	remarks	remark	NOUN
ejpam-7126	157	2	(	(	PUNCT
ejpam-7126	157	3	2	2	NUM
ejpam-7126	157	4	):	):	PUNCT
ejpam-7126	157	5	(	(	PUNCT
ejpam-7126	157	6	i	i	NOUN
ejpam-7126	157	7	)	)	PUNCT
ejpam-7126	157	8	the	the	DET
ejpam-7126	157	9	ml	ml	PROPN
ejpam-7126	157	10	estimates	estimate	NOUN
ejpam-7126	157	11	of	of	ADP
ejpam-7126	157	12	the	the	DET
ejpam-7126	157	13	parameter	parameter	NOUN
ejpam-7126	157	14	of	of	ADP
ejpam-7126	157	15	life	life	NOUN
ejpam-7126	157	16	(	(	PUNCT
ejpam-7126	157	17	reliability	reliability	NOUN
ejpam-7126	157	18	and	and	CCONJ
ejpam-7126	157	19	hazard	hazard	NOUN
ejpam-7126	157	20	rate	rate	NOUN
ejpam-7126	157	21	function	function	NOUN
ejpam-7126	157	22	given	give	VERB
ejpam-7126	157	23	by	by	ADP
ejpam-7126	157	24	ŝ(t	ŝ(t	NOUN
ejpam-7126	157	25	)	)	PUNCT
ejpam-7126	157	26	=	=	SYM
ejpam-7126	157	27	1−	1−	NUM
ejpam-7126	157	28	f̂	f̂	X
ejpam-7126	157	29	(	(	PUNCT
ejpam-7126	157	30	t)|β	t)|β	PROPN
ejpam-7126	157	31	=	=	AUX
ejpam-7126	157	32	β̂	β̂	X
ejpam-7126	157	33	(	(	PUNCT
ejpam-7126	157	34	14	14	NUM
ejpam-7126	157	35	)	)	PUNCT
ejpam-7126	157	36	ĥ(t	ĥ(t	NOUN
ejpam-7126	157	37	)	)	PUNCT
ejpam-7126	157	38	=	=	SYM
ejpam-7126	158	1	h(t)|β	h(t)|β	PROPN
ejpam-7126	158	2	=	=	PROPN
ejpam-7126	158	3	β̂	β̂	X
ejpam-7126	158	4	(	(	PUNCT
ejpam-7126	158	5	15	15	NUM
ejpam-7126	158	6	)	)	PUNCT
ejpam-7126	158	7	(	(	PUNCT
ejpam-7126	158	8	ii	ii	NOUN
ejpam-7126	158	9	)	)	PUNCT
ejpam-7126	158	10	when	when	SCONJ
ejpam-7126	158	11	j	j	PROPN
ejpam-7126	158	12	=	=	SYM
ejpam-7126	158	13	k	k	PROPN
ejpam-7126	159	1	=	=	PUNCT
ejpam-7126	159	2	r	r	NOUN
ejpam-7126	159	3	the	the	DET
ejpam-7126	159	4	experiment	experiment	NOUN
ejpam-7126	159	5	run	run	VERB
ejpam-7126	159	6	only	only	ADV
ejpam-7126	159	7	at	at	ADP
ejpam-7126	159	8	normal	normal	ADJ
ejpam-7126	159	9	conditions	condition	NOUN
ejpam-7126	159	10	and	and	CCONJ
ejpam-7126	159	11	λ̂	λ̂	X
ejpam-7126	159	12	=	=	SYM
ejpam-7126	159	13	0	0	NUM
ejpam-7126	159	14	(	(	PUNCT
ejpam-7126	159	15	iii	iii	NOUN
ejpam-7126	159	16	)	)	PUNCT
ejpam-7126	159	17	the	the	DET
ejpam-7126	159	18	initial	initial	ADJ
ejpam-7126	159	19	value	value	NOUN
ejpam-7126	159	20	of	of	ADP
ejpam-7126	159	21	iteration	iteration	NOUN
ejpam-7126	159	22	method	method	NOUN
ejpam-7126	159	23	can	can	AUX
ejpam-7126	159	24	be	be	AUX
ejpam-7126	159	25	obtained	obtain	VERB
ejpam-7126	159	26	from	from	ADP
ejpam-7126	159	27	the	the	DET
ejpam-7126	159	28	joint	joint	ADJ
ejpam-7126	159	29	profile	profile	NOUN
ejpam-7126	159	30	loglikelihood	loglikelihood	ADJ
ejpam-7126	159	31	function	function	NOUN
ejpam-7126	159	32	(	(	PUNCT
ejpam-7126	159	33	11	11	NUM
ejpam-7126	159	34	)	)	PUNCT
ejpam-7126	159	35	.	.	PUNCT
ejpam-7126	160	1	3.2	3.2	NUM
ejpam-7126	160	2	.	.	PUNCT
ejpam-7126	161	1	point	point	NOUN
ejpam-7126	161	2	bayesian	bayesian	NOUN
ejpam-7126	161	3	estimation	estimation	NOUN
ejpam-7126	161	4	in	in	ADP
ejpam-7126	161	5	this	this	DET
ejpam-7126	161	6	section	section	NOUN
ejpam-7126	161	7	,	,	PUNCT
ejpam-7126	161	8	a	a	DET
ejpam-7126	161	9	challenging	challenging	ADJ
ejpam-7126	161	10	problem	problem	NOUN
ejpam-7126	161	11	in	in	ADP
ejpam-7126	161	12	statistical	statistical	ADJ
ejpam-7126	161	13	inference	inference	NOUN
ejpam-7126	161	14	is	be	AUX
ejpam-7126	161	15	selecting	select	VERB
ejpam-7126	161	16	a	a	DET
ejpam-7126	161	17	prior	prior	ADJ
ejpam-7126	161	18	distribution	distribution	NOUN
ejpam-7126	161	19	that	that	PRON
ejpam-7126	161	20	is	be	AUX
ejpam-7126	161	21	suitable	suitable	ADJ
ejpam-7126	161	22	for	for	ADP
ejpam-7126	161	23	the	the	DET
ejpam-7126	161	24	information	information	NOUN
ejpam-7126	161	25	about	about	ADP
ejpam-7126	161	26	the	the	DET
ejpam-7126	161	27	parameters	parameter	NOUN
ejpam-7126	161	28	.	.	PUNCT
ejpam-7126	162	1	in	in	ADP
ejpam-7126	162	2	the	the	DET
ejpam-7126	162	3	problem	problem	NOUN
ejpam-7126	162	4	at	at	ADP
ejpam-7126	162	5	hand	hand	NOUN
ejpam-7126	162	6	,	,	PUNCT
ejpam-7126	162	7	the	the	DET
ejpam-7126	162	8	conjugate	conjugate	ADJ
ejpam-7126	162	9	prior	prior	ADJ
ejpam-7126	162	10	distribution	distribution	NOUN
ejpam-7126	162	11	does	do	AUX
ejpam-7126	162	12	not	not	PART
ejpam-7126	162	13	exist	exist	VERB
ejpam-7126	162	14	.	.	PUNCT
ejpam-7126	163	1	due	due	ADP
ejpam-7126	163	2	to	to	ADP
ejpam-7126	163	3	several	several	ADJ
ejpam-7126	163	4	distributions	distribution	NOUN
ejpam-7126	163	5	,	,	PUNCT
ejpam-7126	163	6	such	such	ADJ
ejpam-7126	163	7	as	as	ADP
ejpam-7126	163	8	the	the	DET
ejpam-7126	163	9	chi	chi	ADJ
ejpam-7126	163	10	-	-	PUNCT
ejpam-7126	163	11	square	square	ADJ
ejpam-7126	163	12	distribution	distribution	NOUN
ejpam-7126	163	13	and	and	CCONJ
ejpam-7126	163	14	the	the	DET
ejpam-7126	163	15	exponential	exponential	NOUN
ejpam-7126	163	16	being	be	AUX
ejpam-7126	163	17	a	a	DET
ejpam-7126	163	18	special	special	ADJ
ejpam-7126	163	19	case	case	NOUN
ejpam-7126	163	20	of	of	ADP
ejpam-7126	163	21	the	the	DET
ejpam-7126	163	22	gamma	gamma	NOUN
ejpam-7126	163	23	prior	prior	ADV
ejpam-7126	163	24	.	.	PUNCT
ejpam-7126	164	1	therefore	therefore	ADV
ejpam-7126	164	2	,	,	PUNCT
ejpam-7126	164	3	we	we	PRON
ejpam-7126	164	4	adopt	adopt	VERB
ejpam-7126	164	5	gamma	gamma	NOUN
ejpam-7126	164	6	prior	prior	ADJ
ejpam-7126	164	7	distribution	distribution	NOUN
ejpam-7126	164	8	of	of	ADP
ejpam-7126	164	9	the	the	DET
ejpam-7126	164	10	model	model	NOUN
ejpam-7126	164	11	parameters	parameter	NOUN
ejpam-7126	164	12	and	and	CCONJ
ejpam-7126	164	13	noninformative	noninformative	ADJ
ejpam-7126	164	14	prior	prior	ADJ
ejpam-7126	164	15	information	information	NOUN
ejpam-7126	164	16	for	for	ADP
ejpam-7126	164	17	the	the	DET
ejpam-7126	164	18	accelerated	accelerate	VERB
ejpam-7126	164	19	factor	factor	NOUN
ejpam-7126	164	20	as	as	SCONJ
ejpam-7126	164	21	follows	follow	VERB
ejpam-7126	164	22	.	.	PUNCT
ejpam-7126	165	1	p1(β	p1(β	X
ejpam-7126	165	2	)	)	PUNCT
ejpam-7126	165	3	∝	∝	PROPN
ejpam-7126	165	4	βa−1	βa−1	PROPN
ejpam-7126	165	5	exp	exp	PROPN
ejpam-7126	165	6	{	{	PUNCT
ejpam-7126	165	7	−bβ	−bβ	PROPN
ejpam-7126	165	8	}	}	PUNCT
ejpam-7126	165	9	,	,	PUNCT
ejpam-7126	165	10	a	a	PRON
ejpam-7126	165	11	,	,	PUNCT
ejpam-7126	165	12	b	b	X
ejpam-7126	165	13	>	>	X
ejpam-7126	165	14	0	0	NUM
ejpam-7126	165	15	,	,	PUNCT
ejpam-7126	165	16	(	(	PUNCT
ejpam-7126	165	17	16	16	NUM
ejpam-7126	165	18	)	)	PUNCT
ejpam-7126	165	19	and	and	CCONJ
ejpam-7126	165	20	p2(λ	p2(λ	ADJ
ejpam-7126	165	21	)	)	PUNCT
ejpam-7126	165	22	∝	∝	NOUN
ejpam-7126	165	23	1	1	NUM
ejpam-7126	165	24	λ	λ	NOUN
ejpam-7126	165	25	.	.	PUNCT
ejpam-7126	166	1	(	(	PUNCT
ejpam-7126	166	2	17	17	NUM
ejpam-7126	166	3	)	)	PUNCT
ejpam-7126	166	4	therefore	therefore	ADV
ejpam-7126	166	5	,	,	PUNCT
ejpam-7126	166	6	the	the	DET
ejpam-7126	166	7	joint	joint	ADJ
ejpam-7126	166	8	prior	prior	ADJ
ejpam-7126	166	9	information	information	NOUN
ejpam-7126	166	10	p	p	X
ejpam-7126	166	11	(	(	PUNCT
ejpam-7126	166	12	λ	λ	PROPN
ejpam-7126	166	13	,	,	PUNCT
ejpam-7126	166	14	β	β	NOUN
ejpam-7126	166	15	)	)	PUNCT
ejpam-7126	166	16	∝	∝	PROPN
ejpam-7126	166	17	λ−1βa−1	λ−1βa−1	NOUN
ejpam-7126	166	18	exp	exp	NOUN
ejpam-7126	166	19	{	{	PUNCT
ejpam-7126	166	20	−bβ	−bβ	PROPN
ejpam-7126	166	21	}	}	PUNCT
ejpam-7126	166	22	.	.	PUNCT
ejpam-7126	167	1	(	(	PUNCT
ejpam-7126	167	2	18	18	NUM
ejpam-7126	167	3	)	)	PUNCT
ejpam-7126	167	4	generality	generality	NOUN
ejpam-7126	167	5	,	,	PUNCT
ejpam-7126	167	6	the	the	DET
ejpam-7126	167	7	joint	joint	ADJ
ejpam-7126	167	8	posterior	posterior	ADJ
ejpam-7126	167	9	density	density	NOUN
ejpam-7126	167	10	function	function	NOUN
ejpam-7126	167	11	of	of	ADP
ejpam-7126	167	12	λ	λ	PROPN
ejpam-7126	167	13	and	and	CCONJ
ejpam-7126	167	14	β	β	X
ejpam-7126	167	15	compute	compute	NOUN
ejpam-7126	167	16	from	from	ADP
ejpam-7126	167	17	π(λ	π(λ	PROPN
ejpam-7126	167	18	,	,	PUNCT
ejpam-7126	167	19	β|t	β|t	PUNCT
ejpam-7126	167	20	)	)	PUNCT
ejpam-7126	168	1	=	=	SYM
ejpam-7126	169	1	p1(β)p2(β)l	p1(β)p2(β)l	PROPN
ejpam-7126	169	2	(	(	PUNCT
ejpam-7126	169	3	λ	λ	INTJ
ejpam-7126	169	4	,	,	PUNCT
ejpam-7126	169	5	β|t)∫∫	β|t)∫∫	X
ejpam-7126	169	6	p1(β)p2(β)l	p1(β)p2(β)l	PROPN
ejpam-7126	169	7	(	(	PUNCT
ejpam-7126	169	8	λ	λ	NOUN
ejpam-7126	169	9	,	,	PUNCT
ejpam-7126	169	10	β|t	β|t	PUNCT
ejpam-7126	169	11	)	)	PUNCT
ejpam-7126	169	12	dλdβ	dλdβ	VERB
ejpam-7126	169	13	∝	∝	PROPN
ejpam-7126	169	14	p1(β)p2(β)l	p1(β)p2(β)l	PROPN
ejpam-7126	169	15	(	(	PUNCT
ejpam-7126	169	16	λ	λ	NOUN
ejpam-7126	169	17	,	,	PUNCT
ejpam-7126	169	18	β|t	β|t	PUNCT
ejpam-7126	169	19	)	)	PUNCT
ejpam-7126	169	20	.	.	PUNCT
ejpam-7126	170	1	(	(	PUNCT
ejpam-7126	170	2	19	19	NUM
ejpam-7126	170	3	)	)	PUNCT
ejpam-7126	170	4	also	also	ADV
ejpam-7126	170	5	,	,	PUNCT
ejpam-7126	170	6	under	under	ADP
ejpam-7126	170	7	squared	square	VERB
ejpam-7126	170	8	error	error	NOUN
ejpam-7126	170	9	loss	loss	NOUN
ejpam-7126	170	10	function	function	NOUN
ejpam-7126	170	11	the	the	DET
ejpam-7126	170	12	bayes	bayes	PROPN
ejpam-7126	170	13	estimate	estimate	NOUN
ejpam-7126	170	14	of	of	ADP
ejpam-7126	170	15	any	any	DET
ejpam-7126	170	16	function	function	NOUN
ejpam-7126	170	17	of	of	ADP
ejpam-7126	170	18	λ	λ	PROPN
ejpam-7126	170	19	and	and	CCONJ
ejpam-7126	170	20	β	β	PROPN
ejpam-7126	170	21	say	say	VERB
ejpam-7126	170	22	g(λ	g(λ	PROPN
ejpam-7126	170	23	,	,	PUNCT
ejpam-7126	170	24	β	β	NOUN
ejpam-7126	170	25	)	)	PUNCT
ejpam-7126	170	26	is	be	AUX
ejpam-7126	170	27	given	give	VERB
ejpam-7126	170	28	by	by	ADP
ejpam-7126	170	29	ĝ(λ	ĝ(λ	NOUN
ejpam-7126	170	30	,	,	PUNCT
ejpam-7126	170	31	β	β	X
ejpam-7126	170	32	)	)	PUNCT
ejpam-7126	170	33	=	=	PUNCT
ejpam-7126	171	1	∫∫	∫∫	ADV
ejpam-7126	171	2	g(λ	g(λ	PROPN
ejpam-7126	171	3	,	,	PUNCT
ejpam-7126	171	4	β)π(λ	β)π(λ	NOUN
ejpam-7126	171	5	,	,	PUNCT
ejpam-7126	171	6	β|t)dλdβ	β|t)dλdβ	PROPN
ejpam-7126	171	7	.	.	PUNCT
ejpam-7126	172	1	(	(	PUNCT
ejpam-7126	172	2	20	20	NUM
ejpam-7126	172	3	)	)	PUNCT
ejpam-7126	172	4	s.	s.	PROPN
ejpam-7126	172	5	k.	k.	PROPN
ejpam-7126	172	6	badr	badr	PROPN
ejpam-7126	172	7	/	/	SYM
ejpam-7126	172	8	eur	eur	PROPN
ejpam-7126	172	9	.	.	PUNCT
ejpam-7126	173	1	j.	j.	PROPN
ejpam-7126	173	2	pure	pure	PROPN
ejpam-7126	173	3	appl	appl	PROPN
ejpam-7126	173	4	.	.	PROPN
ejpam-7126	173	5	math	math	PROPN
ejpam-7126	173	6	,	,	PUNCT
ejpam-7126	173	7	18	18	NUM
ejpam-7126	173	8	(	(	PUNCT
ejpam-7126	173	9	4	4	NUM
ejpam-7126	173	10	)	)	PUNCT
ejpam-7126	173	11	(	(	PUNCT
ejpam-7126	173	12	2025	2025	NUM
ejpam-7126	173	13	)	)	PUNCT
ejpam-7126	173	14	,	,	PUNCT
ejpam-7126	173	15	7126	7126	NUM
ejpam-7126	173	16	8	8	NUM
ejpam-7126	173	17	of	of	ADP
ejpam-7126	173	18	20	20	NUM
ejpam-7126	173	19	the	the	DET
ejpam-7126	173	20	closed	closed	ADJ
ejpam-7126	173	21	form	form	NOUN
ejpam-7126	173	22	of	of	ADP
ejpam-7126	173	23	posterior	posterior	ADJ
ejpam-7126	173	24	distribution	distribution	NOUN
ejpam-7126	173	25	(	(	PUNCT
ejpam-7126	173	26	19	19	NUM
ejpam-7126	173	27	)	)	PUNCT
ejpam-7126	173	28	and	and	CCONJ
ejpam-7126	173	29	the	the	DET
ejpam-7126	173	30	estimated	estimate	VERB
ejpam-7126	173	31	value	value	NOUN
ejpam-7126	173	32	in	in	ADP
ejpam-7126	173	33	(	(	PUNCT
ejpam-7126	173	34	20	20	NUM
ejpam-7126	173	35	)	)	PUNCT
ejpam-7126	173	36	are	be	AUX
ejpam-7126	173	37	generally	generally	ADV
ejpam-7126	173	38	more	more	ADV
ejpam-7126	173	39	complicated	complicated	ADJ
ejpam-7126	173	40	especially	especially	ADV
ejpam-7126	173	41	in	in	ADP
ejpam-7126	173	42	a	a	DET
ejpam-7126	173	43	parameter	parameter	NOUN
ejpam-7126	173	44	vector	vector	NOUN
ejpam-7126	173	45	with	with	ADP
ejpam-7126	173	46	a	a	DET
ejpam-7126	173	47	large	large	ADJ
ejpam-7126	173	48	dimension	dimension	NOUN
ejpam-7126	173	49	.	.	PUNCT
ejpam-7126	174	1	therefore	therefore	ADV
ejpam-7126	174	2	,	,	PUNCT
ejpam-7126	174	3	the	the	DET
ejpam-7126	174	4	approximation	approximation	NOUN
ejpam-7126	174	5	method	method	NOUN
ejpam-7126	174	6	is	be	AUX
ejpam-7126	174	7	the	the	DET
ejpam-7126	174	8	natural	natural	ADJ
ejpam-7126	174	9	alternative	alternative	ADJ
ejpam-7126	174	10	method	method	NOUN
ejpam-7126	174	11	.	.	PUNCT
ejpam-7126	175	1	numerical	numerical	ADJ
ejpam-7126	175	2	integration	integration	PROPN
ejpam-7126	175	3	,	,	PUNCT
ejpam-7126	175	4	lindley	lindley	NOUN
ejpam-7126	175	5	’s	’s	PART
ejpam-7126	175	6	approximation	approximation	NOUN
ejpam-7126	175	7	,	,	PUNCT
ejpam-7126	175	8	and	and	CCONJ
ejpam-7126	175	9	mcmc	mcmc	PROPN
ejpam-7126	175	10	methods	method	NOUN
ejpam-7126	175	11	can	can	AUX
ejpam-7126	175	12	be	be	AUX
ejpam-7126	175	13	applied	apply	VERB
ejpam-7126	175	14	.	.	PUNCT
ejpam-7126	176	1	in	in	ADP
ejpam-7126	176	2	this	this	DET
ejpam-7126	176	3	paper	paper	NOUN
ejpam-7126	176	4	,	,	PUNCT
ejpam-7126	176	5	we	we	PRON
ejpam-7126	176	6	adopt	adopt	VERB
ejpam-7126	176	7	the	the	DET
ejpam-7126	176	8	important	important	ADJ
ejpam-7126	176	9	one	one	NOUN
ejpam-7126	176	10	called	call	VERB
ejpam-7126	176	11	the	the	DET
ejpam-7126	176	12	mcmc	mcmc	PROPN
ejpam-7126	176	13	method	method	NOUN
ejpam-7126	176	14	as	as	SCONJ
ejpam-7126	176	15	follows	follow	VERB
ejpam-7126	176	16	.	.	PUNCT
ejpam-7126	177	1	bayesian	bayesian	NOUN
ejpam-7126	177	2	estimation	estimation	NOUN
ejpam-7126	177	3	using	use	VERB
ejpam-7126	177	4	mcmc	mcmc	PROPN
ejpam-7126	177	5	:	:	PUNCT
ejpam-7126	177	6	from	from	ADP
ejpam-7126	177	7	(	(	PUNCT
ejpam-7126	177	8	19	19	NUM
ejpam-7126	177	9	)	)	PUNCT
ejpam-7126	177	10	the	the	DET
ejpam-7126	177	11	joint	joint	ADJ
ejpam-7126	177	12	posterior	posterior	ADJ
ejpam-7126	177	13	distribution	distribution	NOUN
ejpam-7126	177	14	by	by	ADP
ejpam-7126	177	15	using	use	VERB
ejpam-7126	177	16	(	(	PUNCT
ejpam-7126	177	17	18	18	NUM
ejpam-7126	177	18	)	)	PUNCT
ejpam-7126	177	19	and	and	CCONJ
ejpam-7126	177	20	(	(	PUNCT
ejpam-7126	177	21	9	9	X
ejpam-7126	177	22	)	)	PUNCT
ejpam-7126	177	23	reduce	reduce	VERB
ejpam-7126	177	24	to	to	ADP
ejpam-7126	177	25	π(λ	π(λ	PROPN
ejpam-7126	177	26	,	,	PUNCT
ejpam-7126	177	27	β|t	β|t	PUNCT
ejpam-7126	177	28	)	)	PUNCT
ejpam-7126	177	29	∝	∝	PROPN
ejpam-7126	177	30	(	(	PUNCT
ejpam-7126	177	31	β3	β3	INTJ
ejpam-7126	177	32	β3	β3	VERB
ejpam-7126	177	33	+	+	NOUN
ejpam-7126	177	34	2	2	NUM
ejpam-7126	177	35	)	)	PUNCT
ejpam-7126	177	36	r	r	NOUN
ejpam-7126	177	37	βa−1λr−j−1	βa−1λr−j−1	NOUN
ejpam-7126	177	38	(	(	PUNCT
ejpam-7126	177	39	j∏	j∏	PROPN
ejpam-7126	177	40	i=1	i=1	PROPN
ejpam-7126	177	41	(	(	PUNCT
ejpam-7126	177	42	β	β	X
ejpam-7126	177	43	+	+	PUNCT
ejpam-7126	177	44	t2i	t2i	CCONJ
ejpam-7126	177	45	)	)	PUNCT
ejpam-7126	177	46	)	)	PUNCT
ejpam-7126	178	1	(	(	PUNCT
ejpam-7126	178	2	r∏	r∏	NOUN
ejpam-7126	178	3	i	i	NOUN
ejpam-7126	178	4	=	=	NOUN
ejpam-7126	178	5	j+1	j+1	X
ejpam-7126	178	6	(	(	PUNCT
ejpam-7126	178	7	β	β	X
ejpam-7126	178	8	+	+	NUM
ejpam-7126	178	9	z2i	z2i	NOUN
ejpam-7126	178	10	)	)	PUNCT
ejpam-7126	178	11	)	)	PUNCT
ejpam-7126	179	1	(	(	PUNCT
ejpam-7126	179	2	1	1	NUM
ejpam-7126	179	3	+	+	CCONJ
ejpam-7126	179	4	βzr(βzr	βzr(βzr	X
ejpam-7126	180	1	+	+	CCONJ
ejpam-7126	180	2	2	2	X
ejpam-7126	180	3	)	)	PUNCT
ejpam-7126	180	4	β3	β3	VERB
ejpam-7126	180	5	+	+	NOUN
ejpam-7126	180	6	2	2	NUM
ejpam-7126	180	7	)	)	PUNCT
ejpam-7126	180	8	(	(	PUNCT
ejpam-7126	180	9	n−r	n−r	NOUN
ejpam-7126	180	10	)	)	PUNCT
ejpam-7126	180	11	×	×	NOUN
ejpam-7126	180	12	exp	exp	NOUN
ejpam-7126	180	13	{	{	PUNCT
ejpam-7126	180	14	−bβ	−bβ	PROPN
ejpam-7126	180	15	−	−	PROPN
ejpam-7126	180	16	β	β	NOUN
ejpam-7126	180	17	j∑	j∑	PROPN
ejpam-7126	180	18	i=1	i=1	PROPN
ejpam-7126	181	1	ti	ti	X
ejpam-7126	181	2	−	−	X
ejpam-7126	181	3	β	β	X
ejpam-7126	181	4	r∑	r∑	NOUN
ejpam-7126	181	5	i	i	NOUN
ejpam-7126	181	6	=	=	NOUN
ejpam-7126	181	7	j+1	j+1	PART
ejpam-7126	181	8	zi	zi	NOUN
ejpam-7126	182	1	−	−	NOUN
ejpam-7126	182	2	β(n−	β(n−	PROPN
ejpam-7126	182	3	r)zr	r)zr	PROPN
ejpam-7126	182	4	)	)	PUNCT
ejpam-7126	182	5	}	}	PUNCT
ejpam-7126	182	6	.	.	PUNCT
ejpam-7126	183	1	(	(	PUNCT
ejpam-7126	183	2	21	21	NUM
ejpam-7126	183	3	)	)	PUNCT
ejpam-7126	183	4	the	the	DET
ejpam-7126	183	5	joint	joint	ADJ
ejpam-7126	183	6	posterior	posterior	ADJ
ejpam-7126	183	7	distribution	distribution	NOUN
ejpam-7126	183	8	(	(	PUNCT
ejpam-7126	183	9	22	22	NUM
ejpam-7126	183	10	)	)	PUNCT
ejpam-7126	183	11	is	be	AUX
ejpam-7126	183	12	reduce	reduce	VERB
ejpam-7126	183	13	to	to	ADP
ejpam-7126	183	14	two	two	NUM
ejpam-7126	183	15	full	full	ADJ
ejpam-7126	183	16	conditional	conditional	ADJ
ejpam-7126	183	17	distributions	distribution	NOUN
ejpam-7126	183	18	given	give	VERB
ejpam-7126	183	19	by	by	ADP
ejpam-7126	183	20	π1(λ	π1(λ	PROPN
ejpam-7126	183	21	,	,	PUNCT
ejpam-7126	183	22	|β	|β	NUM
ejpam-7126	183	23	,	,	PUNCT
ejpam-7126	183	24	t	t	PROPN
ejpam-7126	183	25	)	)	PUNCT
ejpam-7126	183	26	∝	∝	PROPN
ejpam-7126	183	27	λr−j−1	λr−j−1	NOUN
ejpam-7126	183	28	(	(	PUNCT
ejpam-7126	183	29	r∏	r∏	NOUN
ejpam-7126	183	30	i	i	NOUN
ejpam-7126	183	31	=	=	NOUN
ejpam-7126	183	32	j+1	j+1	X
ejpam-7126	183	33	(	(	PUNCT
ejpam-7126	183	34	β	β	X
ejpam-7126	183	35	+	+	NUM
ejpam-7126	183	36	z2i	z2i	NOUN
ejpam-7126	183	37	)	)	PUNCT
ejpam-7126	183	38	)	)	PUNCT
ejpam-7126	184	1	(	(	PUNCT
ejpam-7126	184	2	1	1	NUM
ejpam-7126	184	3	+	+	CCONJ
ejpam-7126	184	4	βzr(βzr	βzr(βzr	X
ejpam-7126	185	1	+	+	CCONJ
ejpam-7126	185	2	2	2	X
ejpam-7126	185	3	)	)	PUNCT
ejpam-7126	185	4	β3	β3	VERB
ejpam-7126	185	5	+	+	NOUN
ejpam-7126	185	6	2	2	NUM
ejpam-7126	185	7	)	)	PUNCT
ejpam-7126	185	8	(	(	PUNCT
ejpam-7126	185	9	n−r	n−r	NOUN
ejpam-7126	185	10	)	)	PUNCT
ejpam-7126	185	11	×	×	NOUN
ejpam-7126	185	12	exp	exp	NOUN
ejpam-7126	185	13	{	{	PUNCT
ejpam-7126	185	14	−β	−β	NOUN
ejpam-7126	185	15	r∑	r∑	NOUN
ejpam-7126	185	16	i	i	NOUN
ejpam-7126	185	17	=	=	NOUN
ejpam-7126	185	18	j+1	j+1	X
ejpam-7126	185	19	(	(	PUNCT
ejpam-7126	185	20	η	η	PROPN
ejpam-7126	185	21	+	+	PROPN
ejpam-7126	185	22	λ(t−	λ(t−	PROPN
ejpam-7126	186	1	η)−	η)−	NOUN
ejpam-7126	186	2	β(n−	β(n−	NUM
ejpam-7126	186	3	r)(η	r)(η	X
ejpam-7126	186	4	+	+	CCONJ
ejpam-7126	186	5	λ(t−	λ(t−	PROPN
ejpam-7126	186	6	η	η	NOUN
ejpam-7126	186	7	)	)	PUNCT
ejpam-7126	186	8	)	)	PUNCT
ejpam-7126	186	9	}	}	PUNCT
ejpam-7126	186	10	,	,	PUNCT
ejpam-7126	186	11	(	(	PUNCT
ejpam-7126	186	12	22	22	NUM
ejpam-7126	186	13	)	)	PUNCT
ejpam-7126	186	14	and	and	CCONJ
ejpam-7126	186	15	π2(β|λ	π2(β|λ	PROPN
ejpam-7126	186	16	,	,	PUNCT
ejpam-7126	186	17	t	t	PROPN
ejpam-7126	186	18	)	)	PUNCT
ejpam-7126	186	19	∝	∝	PROPN
ejpam-7126	186	20	(	(	PUNCT
ejpam-7126	186	21	β3	β3	INTJ
ejpam-7126	186	22	β3	β3	VERB
ejpam-7126	186	23	+	+	NOUN
ejpam-7126	186	24	2	2	NUM
ejpam-7126	186	25	)	)	PUNCT
ejpam-7126	186	26	r	r	NOUN
ejpam-7126	186	27	βa−1	βa−1	NOUN
ejpam-7126	186	28	(	(	PUNCT
ejpam-7126	186	29	j∏	j∏	PROPN
ejpam-7126	186	30	i=1	i=1	PROPN
ejpam-7126	186	31	(	(	PUNCT
ejpam-7126	186	32	β	β	X
ejpam-7126	186	33	+	+	PUNCT
ejpam-7126	186	34	t2i	t2i	CCONJ
ejpam-7126	186	35	)	)	PUNCT
ejpam-7126	186	36	)	)	PUNCT
ejpam-7126	187	1	(	(	PUNCT
ejpam-7126	187	2	r∏	r∏	NOUN
ejpam-7126	187	3	i	i	NOUN
ejpam-7126	187	4	=	=	NOUN
ejpam-7126	187	5	j+1	j+1	X
ejpam-7126	187	6	(	(	PUNCT
ejpam-7126	187	7	β	β	X
ejpam-7126	187	8	+	+	NUM
ejpam-7126	187	9	z2i	z2i	NOUN
ejpam-7126	187	10	)	)	PUNCT
ejpam-7126	187	11	)	)	PUNCT
ejpam-7126	188	1	(	(	PUNCT
ejpam-7126	188	2	1	1	NUM
ejpam-7126	188	3	+	+	CCONJ
ejpam-7126	188	4	βzr(βzr	βzr(βzr	X
ejpam-7126	189	1	+	+	CCONJ
ejpam-7126	189	2	2	2	X
ejpam-7126	189	3	)	)	PUNCT
ejpam-7126	189	4	β3	β3	VERB
ejpam-7126	189	5	+	+	NOUN
ejpam-7126	189	6	2	2	NUM
ejpam-7126	189	7	)	)	PUNCT
ejpam-7126	189	8	(	(	PUNCT
ejpam-7126	189	9	n−r	n−r	NOUN
ejpam-7126	189	10	)	)	PUNCT
ejpam-7126	189	11	×	×	NOUN
ejpam-7126	189	12	exp	exp	NOUN
ejpam-7126	189	13	{	{	PUNCT
ejpam-7126	189	14	−bβ	−bβ	PROPN
ejpam-7126	189	15	−	−	PROPN
ejpam-7126	189	16	β	β	NOUN
ejpam-7126	189	17	j∑	j∑	PROPN
ejpam-7126	189	18	i=1	i=1	PROPN
ejpam-7126	190	1	ti	ti	X
ejpam-7126	190	2	−	−	X
ejpam-7126	190	3	β	β	X
ejpam-7126	190	4	r∑	r∑	NOUN
ejpam-7126	190	5	i	i	NOUN
ejpam-7126	190	6	=	=	NOUN
ejpam-7126	190	7	j+1	j+1	PART
ejpam-7126	190	8	zi	zi	NOUN
ejpam-7126	191	1	−	−	NOUN
ejpam-7126	191	2	β(n−	β(n−	PROPN
ejpam-7126	191	3	r)zr	r)zr	PROPN
ejpam-7126	191	4	)	)	PUNCT
ejpam-7126	191	5	}	}	PUNCT
ejpam-7126	191	6	.	.	PUNCT
ejpam-7126	192	1	(	(	PUNCT
ejpam-7126	192	2	23	23	NUM
ejpam-7126	192	3	)	)	PUNCT
ejpam-7126	192	4	the	the	DET
ejpam-7126	192	5	full	full	ADJ
ejpam-7126	192	6	conditional	conditional	ADJ
ejpam-7126	192	7	distributions	distribution	NOUN
ejpam-7126	192	8	(	(	PUNCT
ejpam-7126	192	9	22	22	NUM
ejpam-7126	192	10	)	)	PUNCT
ejpam-7126	192	11	and	and	CCONJ
ejpam-7126	192	12	(	(	PUNCT
ejpam-7126	192	13	23	23	NUM
ejpam-7126	192	14	)	)	PUNCT
ejpam-7126	192	15	have	have	AUX
ejpam-7126	192	16	shown	show	VERB
ejpam-7126	192	17	that	that	SCONJ
ejpam-7126	192	18	metropolis	metropolis	NOUN
ejpam-7126	192	19	-	-	PUNCT
ejpam-7126	192	20	withingibbs	withingibb	VERB
ejpam-7126	192	21	samplers	sampler	NOUN
ejpam-7126	192	22	are	be	AUX
ejpam-7126	192	23	more	more	ADV
ejpam-7126	192	24	suitable	suitable	ADJ
ejpam-7126	192	25	algorithms	algorithm	NOUN
ejpam-7126	192	26	.	.	PUNCT
ejpam-7126	193	1	the	the	DET
ejpam-7126	193	2	flowering	flower	VERB
ejpam-7126	193	3	algorithm	algorithm	NOUN
ejpam-7126	193	4	is	be	AUX
ejpam-7126	193	5	used	use	VERB
ejpam-7126	193	6	to	to	PART
ejpam-7126	193	7	generate	generate	VERB
ejpam-7126	193	8	from	from	ADP
ejpam-7126	193	9	the	the	DET
ejpam-7126	193	10	posterior	posterior	ADJ
ejpam-7126	193	11	distribution	distribution	NOUN
ejpam-7126	193	12	(	(	PUNCT
ejpam-7126	193	13	21	21	NUM
ejpam-7126	193	14	)	)	PUNCT
ejpam-7126	193	15	and	and	CCONJ
ejpam-7126	193	16	hence	hence	ADV
ejpam-7126	193	17	obtain	obtain	VERB
ejpam-7126	193	18	the	the	DET
ejpam-7126	193	19	empirical	empirical	ADJ
ejpam-7126	193	20	posterior	posterior	ADJ
ejpam-7126	193	21	distribution	distribution	NOUN
ejpam-7126	193	22	.	.	PUNCT
ejpam-7126	194	1	algorithm	algorithm	NOUN
ejpam-7126	194	2	1	1	NUM
ejpam-7126	194	3	(	(	PUNCT
ejpam-7126	194	4	mcmc	mcmc	PROPN
ejpam-7126	194	5	algorithm	algorithm	PROPN
ejpam-7126	194	6	)	)	PUNCT
ejpam-7126	194	7	.	.	PUNCT
ejpam-7126	195	1	(	(	PUNCT
ejpam-7126	195	2	i	i	NOUN
ejpam-7126	195	3	)	)	PUNCT
ejpam-7126	195	4	begin	begin	VERB
ejpam-7126	195	5	with	with	ADP
ejpam-7126	195	6	initial	initial	ADJ
ejpam-7126	195	7	guess	guess	NOUN
ejpam-7126	195	8	value	value	NOUN
ejpam-7126	195	9	λ(0	λ(0	PROPN
ejpam-7126	195	10	)	)	PUNCT
ejpam-7126	195	11	=	=	SYM
ejpam-7126	195	12	λ̂	λ̂	X
ejpam-7126	195	13	and	and	CCONJ
ejpam-7126	195	14	β(0	β(0	PROPN
ejpam-7126	195	15	)	)	PUNCT
ejpam-7126	196	1	=	=	SYM
ejpam-7126	196	2	β̂.	β̂.	NOUN
ejpam-7126	196	3	(	(	PUNCT
ejpam-7126	196	4	ii	ii	NOUN
ejpam-7126	196	5	)	)	PUNCT
ejpam-7126	196	6	put	put	VERB
ejpam-7126	196	7	s	s	NOUN
ejpam-7126	196	8	=	=	NOUN
ejpam-7126	196	9	1	1	NUM
ejpam-7126	196	10	.	.	PUNCT
ejpam-7126	196	11	(	(	PUNCT
ejpam-7126	196	12	iii	iii	NOUN
ejpam-7126	196	13	)	)	PUNCT
ejpam-7126	196	14	generate	generate	VERB
ejpam-7126	196	15	λ	λ	PROPN
ejpam-7126	196	16	(	(	PUNCT
ejpam-7126	196	17	s	s	NOUN
ejpam-7126	196	18	)	)	PUNCT
ejpam-7126	196	19	1	1	NUM
ejpam-7126	196	20	from	from	ADP
ejpam-7126	196	21	(	(	PUNCT
ejpam-7126	196	22	22	22	NUM
ejpam-7126	196	23	)	)	PUNCT
ejpam-7126	196	24	using	use	VERB
ejpam-7126	196	25	(	(	PUNCT
ejpam-7126	196	26	mh	mh	NOUN
ejpam-7126	196	27	)	)	PUNCT
ejpam-7126	196	28	algorithm	algorithm	NOUN
ejpam-7126	196	29	.	.	PUNCT
ejpam-7126	197	1	(	(	PUNCT
ejpam-7126	197	2	iv	iv	X
ejpam-7126	197	3	)	)	PUNCT
ejpam-7126	197	4	generate	generate	VERB
ejpam-7126	197	5	β	β	X
ejpam-7126	197	6	(	(	PUNCT
ejpam-7126	197	7	s	s	X
ejpam-7126	197	8	)	)	PUNCT
ejpam-7126	197	9	1	1	NUM
ejpam-7126	197	10	from	from	ADP
ejpam-7126	197	11	(	(	PUNCT
ejpam-7126	197	12	23	23	NUM
ejpam-7126	197	13	)	)	PUNCT
ejpam-7126	197	14	using	use	VERB
ejpam-7126	197	15	(	(	PUNCT
ejpam-7126	197	16	mh	mh	NOUN
ejpam-7126	197	17	)	)	PUNCT
ejpam-7126	197	18	algorithm	algorithm	NOUN
ejpam-7126	197	19	.	.	PUNCT
ejpam-7126	198	1	•	•	NUM
ejpam-7126	198	2	generate	generate	VERB
ejpam-7126	198	3	candidate	candidate	NOUN
ejpam-7126	198	4	sample	sample	NOUN
ejpam-7126	198	5	points	point	NOUN
ejpam-7126	198	6	from	from	ADP
ejpam-7126	198	7	normal	normal	ADJ
ejpam-7126	198	8	distribution	distribution	NOUN
ejpam-7126	198	9	.	.	PUNCT
ejpam-7126	199	1	s.	s.	PROPN
ejpam-7126	199	2	k.	k.	PROPN
ejpam-7126	199	3	badr	badr	PROPN
ejpam-7126	199	4	/	/	SYM
ejpam-7126	199	5	eur	eur	PROPN
ejpam-7126	199	6	.	.	PUNCT
ejpam-7126	200	1	j.	j.	PROPN
ejpam-7126	200	2	pure	pure	PROPN
ejpam-7126	200	3	appl	appl	PROPN
ejpam-7126	200	4	.	.	PROPN
ejpam-7126	200	5	math	math	PROPN
ejpam-7126	200	6	,	,	PUNCT
ejpam-7126	200	7	18	18	NUM
ejpam-7126	200	8	(	(	PUNCT
ejpam-7126	200	9	4	4	NUM
ejpam-7126	200	10	)	)	PUNCT
ejpam-7126	200	11	(	(	PUNCT
ejpam-7126	200	12	2025	2025	NUM
ejpam-7126	200	13	)	)	PUNCT
ejpam-7126	200	14	,	,	PUNCT
ejpam-7126	200	15	7126	7126	NUM
ejpam-7126	200	16	9	9	NUM
ejpam-7126	200	17	of	of	ADP
ejpam-7126	200	18	20	20	NUM
ejpam-7126	200	19	•	•	NOUN
ejpam-7126	200	20	compute	compute	VERB
ejpam-7126	200	21	the	the	DET
ejpam-7126	200	22	acceptance	acceptance	NOUN
ejpam-7126	200	23	probability	probability	NOUN
ejpam-7126	200	24	from	from	ADP
ejpam-7126	200	25	pl	pl	PROPN
ejpam-7126	200	26	=	=	SYM
ejpam-7126	200	27	min	min	PROPN
ejpam-7126	200	28	(	(	PUNCT
ejpam-7126	200	29	1	1	NUM
ejpam-7126	200	30	,	,	PUNCT
ejpam-7126	200	31	πl(.|λ	πl(.|λ	PROPN
ejpam-7126	200	32	,	,	PUNCT
ejpam-7126	200	33	t	t	PROPN
ejpam-7126	200	34	)	)	PUNCT
ejpam-7126	200	35	πl(.|λ	πl(.|λ	PROPN
ejpam-7126	200	36	,	,	PUNCT
ejpam-7126	200	37	t	t	PROPN
ejpam-7126	200	38	)	)	PUNCT
ejpam-7126	200	39	)	)	PUNCT
ejpam-7126	200	40	,	,	PUNCT
ejpam-7126	200	41	l	l	X
ejpam-7126	201	1	=	=	SYM
ejpam-7126	201	2	1,2	1,2	NUM
ejpam-7126	201	3	.	.	PUNCT
ejpam-7126	201	4	•	•	NOUN
ejpam-7126	201	5	generate	generate	VERB
ejpam-7126	201	6	from	from	ADP
ejpam-7126	201	7	uniform	uniform	NOUN
ejpam-7126	201	8	0	0	NUM
ejpam-7126	201	9	and	and	CCONJ
ejpam-7126	201	10	1	1	NUM
ejpam-7126	201	11	,	,	PUNCT
ejpam-7126	201	12	ul	ul	INTJ
ejpam-7126	201	13	.	.	PUNCT
ejpam-7126	201	14	•	•	NUM
ejpam-7126	201	15	accept	accept	VERB
ejpam-7126	201	16	the	the	DET
ejpam-7126	201	17	candidate	candidate	NOUN
ejpam-7126	201	18	sample	sample	NOUN
ejpam-7126	201	19	points	point	VERB
ejpam-7126	201	20	if	if	SCONJ
ejpam-7126	201	21	ul	ul	INTJ
ejpam-7126	201	22	<	<	X
ejpam-7126	201	23	pl	pl	AUX
ejpam-7126	201	24	.	.	PROPN
ejpam-7126	201	25	otherwise	otherwise	ADV
ejpam-7126	201	26	,	,	PUNCT
ejpam-7126	201	27	reject	reject	VERB
ejpam-7126	201	28	the	the	DET
ejpam-7126	201	29	candidate	candidate	NOUN
ejpam-7126	201	30	point	point	NOUN
ejpam-7126	201	31	and	and	CCONJ
ejpam-7126	201	32	repeat	repeat	VERB
ejpam-7126	201	33	the	the	DET
ejpam-7126	201	34	last	last	ADJ
ejpam-7126	201	35	one	one	NUM
ejpam-7126	201	36	.	.	PUNCT
ejpam-7126	202	1	(	(	PUNCT
ejpam-7126	202	2	v	v	NOUN
ejpam-7126	202	3	)	)	PUNCT
ejpam-7126	202	4	for	for	ADP
ejpam-7126	202	5	given	give	VERB
ejpam-7126	202	6	t	t	PROPN
ejpam-7126	202	7	compute	compute	PROPN
ejpam-7126	202	8	s(t	s(t	PROPN
ejpam-7126	202	9	,	,	PUNCT
ejpam-7126	202	10	β	β	X
ejpam-7126	202	11	(	(	PUNCT
ejpam-7126	202	12	s	s	NOUN
ejpam-7126	202	13	)	)	PUNCT
ejpam-7126	202	14	1	1	NUM
ejpam-7126	202	15	)	)	PUNCT
ejpam-7126	202	16	and	and	CCONJ
ejpam-7126	202	17	h(t	h(t	PROPN
ejpam-7126	202	18	,	,	PUNCT
ejpam-7126	202	19	β	β	X
ejpam-7126	202	20	(	(	PUNCT
ejpam-7126	202	21	s	s	NOUN
ejpam-7126	202	22	)	)	PUNCT
ejpam-7126	202	23	1	1	NUM
ejpam-7126	202	24	)	)	PUNCT
ejpam-7126	202	25	(	(	PUNCT
ejpam-7126	202	26	vi	vi	X
ejpam-7126	202	27	)	)	PUNCT
ejpam-7126	202	28	put	put	VERB
ejpam-7126	202	29	s	s	PART
ejpam-7126	202	30	=	=	PUNCT
ejpam-7126	202	31	s+	s+	PUNCT
ejpam-7126	202	32	1	1	NUM
ejpam-7126	202	33	.	.	PUNCT
ejpam-7126	202	34	(	(	PUNCT
ejpam-7126	202	35	vii	vii	PROPN
ejpam-7126	202	36	)	)	PUNCT
ejpam-7126	202	37	repeat	repeat	NOUN
ejpam-7126	202	38	steps	step	NOUN
ejpam-7126	202	39	3	3	NUM
ejpam-7126	202	40	to	to	PART
ejpam-7126	202	41	4	4	NUM
ejpam-7126	202	42	n	n	NOUN
ejpam-7126	202	43	times	time	NOUN
ejpam-7126	202	44	to	to	PART
ejpam-7126	202	45	get	get	VERB
ejpam-7126	202	46	(	(	PUNCT
ejpam-7126	202	47	λ(1),β(1	λ(1),β(1	PROPN
ejpam-7126	202	48	)	)	PUNCT
ejpam-7126	202	49	)	)	PUNCT
ejpam-7126	202	50	,	,	PUNCT
ejpam-7126	202	51	.	.	PUNCT
ejpam-7126	202	52	.	.	PUNCT
ejpam-7126	203	1	.	.	PUNCT
ejpam-7126	204	1	,	,	PUNCT
ejpam-7126	204	2	(	(	PUNCT
ejpam-7126	204	3	λ(n),β(n	λ(n),β(n	NOUN
ejpam-7126	204	4	)	)	PUNCT
ejpam-7126	204	5	)	)	PUNCT
ejpam-7126	204	6	.	.	PUNCT
ejpam-7126	205	1	(	(	PUNCT
ejpam-7126	205	2	viii	viii	PROPN
ejpam-7126	205	3	)	)	PUNCT
ejpam-7126	205	4	the	the	DET
ejpam-7126	205	5	bayes	bayes	PROPN
ejpam-7126	205	6	estimates	estimate	NOUN
ejpam-7126	205	7	of	of	ADP
ejpam-7126	205	8	λ	λ	PROPN
ejpam-7126	205	9	and	and	CCONJ
ejpam-7126	205	10	β	β	X
ejpam-7126	205	11	with	with	ADP
ejpam-7126	205	12	respect	respect	NOUN
ejpam-7126	205	13	to	to	ADP
ejpam-7126	205	14	the	the	DET
ejpam-7126	205	15	sel	sel	NOUN
ejpam-7126	205	16	function	function	NOUN
ejpam-7126	205	17	as	as	SCONJ
ejpam-7126	205	18	are	be	AUX
ejpam-7126	205	19	given	give	VERB
ejpam-7126	205	20	by	by	ADP
ejpam-7126	205	21	λ̂b	λ̂b	PROPN
ejpam-7126	205	22	=	=	SYM
ejpam-7126	205	23	1	1	NUM
ejpam-7126	205	24	n	n	NUM
ejpam-7126	205	25	−n∗	−n∗	X
ejpam-7126	205	26	n	n	NOUN
ejpam-7126	205	27	i	i	PROPN
ejpam-7126	205	28	=	=	PROPN
ejpam-7126	205	29	n∗+1	n∗+1	NUM
ejpam-7126	205	30	λ(i	λ(i	PROPN
ejpam-7126	205	31	)	)	PUNCT
ejpam-7126	205	32	,	,	PUNCT
ejpam-7126	205	33	(	(	PUNCT
ejpam-7126	205	34	24	24	NUM
ejpam-7126	205	35	)	)	PUNCT
ejpam-7126	205	36	and	and	CCONJ
ejpam-7126	205	37	β̂b	β̂b	NUM
ejpam-7126	205	38	=	=	SYM
ejpam-7126	205	39	1	1	NUM
ejpam-7126	205	40	n	n	NUM
ejpam-7126	205	41	−n∗	−n∗	X
ejpam-7126	205	42	n	n	NOUN
ejpam-7126	205	43	i	i	PROPN
ejpam-7126	205	44	=	=	PROPN
ejpam-7126	205	45	n∗+1	n∗+1	NUM
ejpam-7126	205	46	λ(i	λ(i	PROPN
ejpam-7126	205	47	)	)	PUNCT
ejpam-7126	205	48	,	,	PUNCT
ejpam-7126	205	49	(	(	PUNCT
ejpam-7126	205	50	24	24	NUM
ejpam-7126	205	51	)	)	PUNCT
ejpam-7126	205	52	where	where	SCONJ
ejpam-7126	205	53	n∗	n∗	PROPN
ejpam-7126	205	54	s	s	VERB
ejpam-7126	205	55	the	the	DET
ejpam-7126	205	56	number	number	NOUN
ejpam-7126	205	57	of	of	ADP
ejpam-7126	205	58	iterations	iteration	NOUN
ejpam-7126	205	59	to	to	PART
ejpam-7126	205	60	reach	reach	VERB
ejpam-7126	205	61	the	the	DET
ejpam-7126	205	62	stationary	stationary	ADJ
ejpam-7126	205	63	distribution	distribution	NOUN
ejpam-7126	205	64	.	.	PUNCT
ejpam-7126	206	1	(	(	PUNCT
ejpam-7126	206	2	ix	ix	X
ejpam-7126	206	3	)	)	PUNCT
ejpam-7126	206	4	bayes	bayes	PROPN
ejpam-7126	206	5	estimates	estimate	NOUN
ejpam-7126	206	6	of	of	ADP
ejpam-7126	206	7	the	the	DET
ejpam-7126	206	8	parameter	parameter	NOUN
ejpam-7126	206	9	of	of	ADP
ejpam-7126	206	10	life	life	NOUN
ejpam-7126	206	11	(	(	PUNCT
ejpam-7126	206	12	reliability	reliability	NOUN
ejpam-7126	206	13	and	and	CCONJ
ejpam-7126	206	14	hazard	hazard	NOUN
ejpam-7126	206	15	rate	rate	NOUN
ejpam-7126	206	16	function	function	NOUN
ejpam-7126	206	17	)	)	PUNCT
ejpam-7126	206	18	are	be	AUX
ejpam-7126	206	19	given	give	VERB
ejpam-7126	206	20	by	by	ADP
ejpam-7126	206	21	ŝb(t	ŝb(t	PROPN
ejpam-7126	206	22	)	)	PUNCT
ejpam-7126	206	23	=	=	SYM
ejpam-7126	207	1	1	1	NUM
ejpam-7126	207	2	n	n	NUM
ejpam-7126	207	3	−n∗	−n∗	X
ejpam-7126	207	4	n	n	NOUN
ejpam-7126	207	5	i	i	PROPN
ejpam-7126	207	6	=	=	PROPN
ejpam-7126	207	7	n∗+1	n∗+1	NUM
ejpam-7126	207	8	s(t	s(t	PROPN
ejpam-7126	207	9	,	,	PUNCT
ejpam-7126	207	10	β	β	X
ejpam-7126	207	11	(	(	PUNCT
ejpam-7126	207	12	i	i	NOUN
ejpam-7126	207	13	)	)	PUNCT
ejpam-7126	207	14	1	1	NUM
ejpam-7126	207	15	)	)	PUNCT
ejpam-7126	207	16	(	(	PUNCT
ejpam-7126	207	17	25	25	NUM
ejpam-7126	207	18	)	)	PUNCT
ejpam-7126	207	19	ĥb(t	ĥb(t	PROPN
ejpam-7126	207	20	)	)	PUNCT
ejpam-7126	207	21	=	=	SYM
ejpam-7126	208	1	1	1	NUM
ejpam-7126	208	2	n	n	NUM
ejpam-7126	208	3	−n∗	−n∗	X
ejpam-7126	208	4	n	n	NOUN
ejpam-7126	208	5	i	i	NOUN
ejpam-7126	208	6	=	=	PROPN
ejpam-7126	208	7	n∗+1	n∗+1	X
ejpam-7126	208	8	h(t	h(t	PROPN
ejpam-7126	208	9	,	,	PUNCT
ejpam-7126	208	10	β	β	X
ejpam-7126	208	11	(	(	PUNCT
ejpam-7126	208	12	i	i	NOUN
ejpam-7126	208	13	)	)	PUNCT
ejpam-7126	208	14	1	1	NUM
ejpam-7126	208	15	)	)	PUNCT
ejpam-7126	208	16	(	(	PUNCT
ejpam-7126	208	17	26	26	NUM
ejpam-7126	208	18	)	)	PUNCT
ejpam-7126	208	19	4	4	NUM
ejpam-7126	208	20	.	.	PUNCT
ejpam-7126	208	21	interval	interval	NOUN
ejpam-7126	208	22	estimation	estimation	NOUN
ejpam-7126	208	23	in	in	ADP
ejpam-7126	208	24	this	this	DET
ejpam-7126	208	25	section	section	NOUN
ejpam-7126	208	26	,	,	PUNCT
ejpam-7126	208	27	we	we	PRON
ejpam-7126	208	28	discuss	discuss	VERB
ejpam-7126	208	29	the	the	DET
ejpam-7126	208	30	interval	interval	NOUN
ejpam-7126	208	31	estimation	estimation	NOUN
ejpam-7126	208	32	of	of	ADP
ejpam-7126	208	33	the	the	DET
ejpam-7126	208	34	i	i	PROPN
ejpam-7126	208	35	d	d	PROPN
ejpam-7126	208	36	parameter	parameter	NOUN
ejpam-7126	208	37	and	and	CCONJ
ejpam-7126	208	38	the	the	DET
ejpam-7126	208	39	accelerated	accelerate	VERB
ejpam-7126	208	40	factor	factor	NOUN
ejpam-7126	208	41	with	with	ADP
ejpam-7126	208	42	three	three	NUM
ejpam-7126	208	43	different	different	ADJ
ejpam-7126	208	44	methods	method	NOUN
ejpam-7126	208	45	.	.	PUNCT
ejpam-7126	209	1	the	the	DET
ejpam-7126	209	2	first	first	ADJ
ejpam-7126	209	3	one	one	NUM
ejpam-7126	209	4	,	,	PUNCT
ejpam-7126	209	5	confidence	confidence	NOUN
ejpam-7126	209	6	intervals	interval	NOUN
ejpam-7126	209	7	depend	depend	VERB
ejpam-7126	209	8	on	on	ADP
ejpam-7126	209	9	the	the	DET
ejpam-7126	209	10	asymptotic	asymptotic	ADJ
ejpam-7126	209	11	property	property	NOUN
ejpam-7126	209	12	of	of	ADP
ejpam-7126	209	13	the	the	DET
ejpam-7126	209	14	ml	ml	NOUN
ejpam-7126	209	15	estimate	estimate	NOUN
ejpam-7126	209	16	(	(	PUNCT
ejpam-7126	209	17	approximate	approximate	ADJ
ejpam-7126	209	18	ml	ml	NOUN
ejpam-7126	209	19	confidence	confidence	NOUN
ejpam-7126	209	20	intervals	interval	NOUN
ejpam-7126	209	21	)	)	PUNCT
ejpam-7126	209	22	,	,	PUNCT
ejpam-7126	209	23	the	the	DET
ejpam-7126	209	24	second	second	NOUN
ejpam-7126	209	25	is	be	AUX
ejpam-7126	209	26	the	the	DET
ejpam-7126	209	27	bootstrap	bootstrap	NOUN
ejpam-7126	209	28	confidence	confidence	NOUN
ejpam-7126	209	29	interval	interval	NOUN
ejpam-7126	209	30	.	.	PUNCT
ejpam-7126	210	1	finally	finally	ADV
ejpam-7126	210	2	,	,	PUNCT
ejpam-7126	210	3	we	we	PRON
ejpam-7126	210	4	consider	consider	VERB
ejpam-7126	210	5	the	the	DET
ejpam-7126	210	6	probability	probability	NOUN
ejpam-7126	210	7	credible	credible	ADJ
ejpam-7126	210	8	intervals	interval	NOUN
ejpam-7126	210	9	.	.	PUNCT
ejpam-7126	211	1	4.1	4.1	NUM
ejpam-7126	211	2	.	.	NOUN
ejpam-7126	211	3	approximate	approximate	ADJ
ejpam-7126	211	4	ml	ml	NOUN
ejpam-7126	211	5	confidence	confidence	NOUN
ejpam-7126	211	6	intervals	interval	NOUN
ejpam-7126	211	7	interval	interval	NOUN
ejpam-7126	211	8	estimation	estimation	NOUN
ejpam-7126	211	9	of	of	ADP
ejpam-7126	211	10	the	the	DET
ejpam-7126	211	11	parameters	parameter	NOUN
ejpam-7126	211	12	depends	depend	VERB
ejpam-7126	211	13	on	on	ADP
ejpam-7126	211	14	fisher	fisher	PROPN
ejpam-7126	211	15	information	information	NOUN
ejpam-7126	211	16	matrix	matrix	NOUN
ejpam-7126	211	17	,	,	PUNCT
ejpam-7126	211	18	which	which	PRON
ejpam-7126	211	19	was	be	AUX
ejpam-7126	211	20	defined	define	VERB
ejpam-7126	211	21	as	as	ADP
ejpam-7126	211	22	the	the	DET
ejpam-7126	211	23	minus	minus	ADJ
ejpam-7126	211	24	expectation	expectation	NOUN
ejpam-7126	211	25	of	of	ADP
ejpam-7126	211	26	the	the	DET
ejpam-7126	211	27	second	second	ADJ
ejpam-7126	211	28	partial	partial	ADJ
ejpam-7126	211	29	derivative	derivative	NOUN
ejpam-7126	211	30	of	of	ADP
ejpam-7126	211	31	the	the	DET
ejpam-7126	211	32	log	log	NOUN
ejpam-7126	211	33	-	-	PUNCT
ejpam-7126	211	34	likelihood	likelihood	NOUN
ejpam-7126	211	35	function	function	NOUN
ejpam-7126	211	36	as	as	ADP
ejpam-7126	211	37	𝟋(λ	𝟋(λ	PROPN
ejpam-7126	211	38	,	,	PUNCT
ejpam-7126	211	39	β	β	X
ejpam-7126	211	40	)	)	PUNCT
ejpam-7126	211	41	=	=	SYM
ejpam-7126	211	42	e	e	X
ejpam-7126	211	43	(	(	PUNCT
ejpam-7126	211	44	−∂2ℓ	−∂2ℓ	X
ejpam-7126	211	45	(	(	PUNCT
ejpam-7126	211	46	λ	λ	NOUN
ejpam-7126	211	47	,	,	PUNCT
ejpam-7126	211	48	β|t	β|t	ADJ
ejpam-7126	211	49	)	)	PUNCT
ejpam-7126	211	50	∂θi∂θj	∂θi∂θj	PROPN
ejpam-7126	211	51	)	)	PUNCT
ejpam-7126	211	52	,	,	PUNCT
ejpam-7126	211	53	i	i	PRON
ejpam-7126	211	54	,	,	PUNCT
ejpam-7126	211	55	j	j	PROPN
ejpam-7126	211	56	=	=	SYM
ejpam-7126	211	57	1	1	NUM
ejpam-7126	211	58	,	,	PUNCT
ejpam-7126	211	59	2	2	NUM
ejpam-7126	211	60	,	,	PUNCT
ejpam-7126	211	61	θ1	θ1	NOUN
ejpam-7126	211	62	=	=	SYM
ejpam-7126	211	63	λ	λ	PROPN
ejpam-7126	211	64	and	and	CCONJ
ejpam-7126	211	65	θ2	θ2	PROPN
ejpam-7126	211	66	=	=	SYM
ejpam-7126	211	67	β	β	PROPN
ejpam-7126	211	68	,	,	PUNCT
ejpam-7126	211	69	s.	s.	PROPN
ejpam-7126	211	70	k.	k.	PROPN
ejpam-7126	211	71	badr	badr	PROPN
ejpam-7126	211	72	/	/	SYM
ejpam-7126	211	73	eur	eur	PROPN
ejpam-7126	211	74	.	.	PUNCT
ejpam-7126	212	1	j.	j.	PROPN
ejpam-7126	212	2	pure	pure	PROPN
ejpam-7126	212	3	appl	appl	PROPN
ejpam-7126	212	4	.	.	PROPN
ejpam-7126	212	5	math	math	PROPN
ejpam-7126	212	6	,	,	PUNCT
ejpam-7126	212	7	18	18	NUM
ejpam-7126	212	8	(	(	PUNCT
ejpam-7126	212	9	4	4	NUM
ejpam-7126	212	10	)	)	PUNCT
ejpam-7126	212	11	(	(	PUNCT
ejpam-7126	212	12	2025	2025	NUM
ejpam-7126	212	13	)	)	PUNCT
ejpam-7126	212	14	,	,	PUNCT
ejpam-7126	212	15	7126	7126	NUM
ejpam-7126	212	16	10	10	NUM
ejpam-7126	212	17	of	of	ADP
ejpam-7126	212	18	20	20	NUM
ejpam-7126	212	19	generally	generally	ADV
ejpam-7126	212	20	,	,	PUNCT
ejpam-7126	212	21	for	for	ADP
ejpam-7126	212	22	models	model	NOUN
ejpam-7126	212	23	that	that	PRON
ejpam-7126	212	24	have	have	VERB
ejpam-7126	212	25	several	several	ADJ
ejpam-7126	212	26	parameters	parameter	NOUN
ejpam-7126	212	27	,	,	PUNCT
ejpam-7126	212	28	the	the	DET
ejpam-7126	212	29	problem	problem	NOUN
ejpam-7126	212	30	of	of	ADP
ejpam-7126	212	31	computing	compute	VERB
ejpam-7126	212	32	expectation	expectation	NOUN
ejpam-7126	212	33	is	be	AUX
ejpam-7126	212	34	more	more	ADV
ejpam-7126	212	35	complicated	complicated	ADJ
ejpam-7126	212	36	.	.	PUNCT
ejpam-7126	213	1	therefore	therefore	ADV
ejpam-7126	213	2	,	,	PUNCT
ejpam-7126	213	3	replace	replace	VERB
ejpam-7126	213	4	the	the	DET
ejpam-7126	213	5	fisher	fisher	PROPN
ejpam-7126	213	6	information	information	NOUN
ejpam-7126	213	7	matrix	matrix	NOUN
ejpam-7126	213	8	with	with	ADP
ejpam-7126	213	9	the	the	DET
ejpam-7126	213	10	approximate	approximate	ADJ
ejpam-7126	213	11	information	information	NOUN
ejpam-7126	213	12	matrix	matrix	NOUN
ejpam-7126	213	13	is	be	AUX
ejpam-7126	213	14	given	give	VERB
ejpam-7126	213	15	by	by	ADP
ejpam-7126	213	16	ψ(λ	ψ(λ	PROPN
ejpam-7126	213	17	,	,	PUNCT
ejpam-7126	213	18	β	β	NOUN
ejpam-7126	213	19	)	)	PUNCT
ejpam-7126	214	1	=	=	SYM
ejpam-7126	214	2	(	(	PUNCT
ejpam-7126	214	3	−∂2ℓ	−∂2ℓ	X
ejpam-7126	214	4	(	(	PUNCT
ejpam-7126	214	5	λ	λ	NOUN
ejpam-7126	214	6	,	,	PUNCT
ejpam-7126	214	7	β|t	β|t	ADJ
ejpam-7126	214	8	)	)	PUNCT
ejpam-7126	214	9	∂θi∂θj	∂θi∂θj	NOUN
ejpam-7126	214	10	)	)	PUNCT
ejpam-7126	214	11	|λ	|λ	NOUN
ejpam-7126	214	12	,	,	PUNCT
ejpam-7126	214	13	β	β	NOUN
ejpam-7126	214	14	=	=	SYM
ejpam-7126	214	15	λ̂,β̂	λ̂,β̂	NOUN
ejpam-7126	214	16	,	,	PUNCT
ejpam-7126	214	17	i	i	PRON
ejpam-7126	214	18	,	,	PUNCT
ejpam-7126	214	19	j	j	PROPN
ejpam-7126	214	20	=	=	SYM
ejpam-7126	214	21	1	1	NUM
ejpam-7126	214	22	,	,	PUNCT
ejpam-7126	214	23	2	2	NUM
ejpam-7126	214	24	,	,	PUNCT
ejpam-7126	214	25	θ1	θ1	NOUN
ejpam-7126	214	26	=	=	SYM
ejpam-7126	214	27	λ	λ	PROPN
ejpam-7126	214	28	and	and	CCONJ
ejpam-7126	214	29	θ2	θ2	PROPN
ejpam-7126	214	30	=	=	SYM
ejpam-7126	214	31	β	β	X
ejpam-7126	214	32	.	.	PUNCT
ejpam-7126	215	1	(	(	PUNCT
ejpam-7126	215	2	23	23	NUM
ejpam-7126	215	3	)	)	PUNCT
ejpam-7126	215	4	from	from	ADP
ejpam-7126	215	5	the	the	DET
ejpam-7126	215	6	log	log	NOUN
ejpam-7126	215	7	-	-	PUNCT
ejpam-7126	215	8	likelihood	likelihood	NOUN
ejpam-7126	215	9	function	function	NOUN
ejpam-7126	215	10	(	(	PUNCT
ejpam-7126	215	11	10	10	NUM
ejpam-7126	215	12	)	)	PUNCT
ejpam-7126	215	13	the	the	DET
ejpam-7126	215	14	second	second	ADJ
ejpam-7126	215	15	partial	partial	ADJ
ejpam-7126	215	16	derivative	derivative	NOUN
ejpam-7126	215	17	is	be	AUX
ejpam-7126	215	18	obtained	obtain	VERB
ejpam-7126	215	19	.	.	PUNCT
ejpam-7126	216	1	also	also	ADV
ejpam-7126	216	2	,	,	PUNCT
ejpam-7126	216	3	under	under	ADP
ejpam-7126	216	4	bivariate	bivariate	ADJ
ejpam-7126	216	5	normal	normal	ADJ
ejpam-7126	216	6	distribution	distribution	NOUN
ejpam-7126	216	7	for	for	ADP
ejpam-7126	216	8	the	the	DET
ejpam-7126	216	9	values	value	NOUN
ejpam-7126	216	10	of	of	ADP
ejpam-7126	216	11	ml	ml	NOUN
ejpam-7126	216	12	estimate	estimate	NOUN
ejpam-7126	216	13	of	of	ADP
ejpam-7126	216	14	parameters	parameter	NOUN
ejpam-7126	216	15	λ̂	λ̂	X
ejpam-7126	216	16	and	and	CCONJ
ejpam-7126	216	17	β̂	β̂	ADP
ejpam-7126	216	18	with	with	ADP
ejpam-7126	216	19	mean	mean	PROPN
ejpam-7126	216	20	(	(	PUNCT
ejpam-7126	216	21	λ	λ	NOUN
ejpam-7126	216	22	,	,	PUNCT
ejpam-7126	216	23	β	β	NOUN
ejpam-7126	216	24	)	)	PUNCT
ejpam-7126	216	25	and	and	CCONJ
ejpam-7126	216	26	variance	variance	NOUN
ejpam-7126	216	27	as	as	ADP
ejpam-7126	216	28	the	the	DET
ejpam-7126	216	29	diagonal	diagonal	NOUN
ejpam-7126	216	30	of	of	ADP
ejpam-7126	216	31	ψ−1(λ̂	ψ−1(λ̂	NOUN
ejpam-7126	216	32	,	,	PUNCT
ejpam-7126	216	33	β̂	β̂	NUM
ejpam-7126	216	34	)	)	PUNCT
ejpam-7126	216	35	.	.	PUNCT
ejpam-7126	217	1	therefore	therefore	ADV
ejpam-7126	217	2	,	,	PUNCT
ejpam-7126	217	3	we	we	PRON
ejpam-7126	217	4	say	say	VERB
ejpam-7126	217	5	(	(	PUNCT
ejpam-7126	217	6	λ̂	λ̂	X
ejpam-7126	217	7	,	,	PUNCT
ejpam-7126	217	8	β̂	β̂	NUM
ejpam-7126	217	9	)	)	PUNCT
ejpam-7126	217	10	−→	−→	NOUN
ejpam-7126	217	11	n	n	PROPN
ejpam-7126	217	12	(	(	PUNCT
ejpam-7126	217	13	(	(	PUNCT
ejpam-7126	217	14	λ	λ	NOUN
ejpam-7126	217	15	,	,	PUNCT
ejpam-7126	217	16	β	β	NOUN
ejpam-7126	217	17	)	)	PUNCT
ejpam-7126	217	18	,	,	PUNCT
ejpam-7126	217	19	ψ−1(λ̂	ψ−1(λ̂	NOUN
ejpam-7126	217	20	,	,	PUNCT
ejpam-7126	217	21	β̂	β̂	NUM
ejpam-7126	217	22	)	)	PUNCT
ejpam-7126	217	23	)	)	PUNCT
ejpam-7126	217	24	.	.	PUNCT
ejpam-7126	218	1	(	(	PUNCT
ejpam-7126	218	2	24	24	NUM
ejpam-7126	218	3	)	)	PUNCT
ejpam-7126	218	4	hence	hence	ADV
ejpam-7126	218	5	,	,	PUNCT
ejpam-7126	218	6	the	the	DET
ejpam-7126	218	7	corresponding	correspond	VERB
ejpam-7126	218	8	(	(	PUNCT
ejpam-7126	218	9	1	1	NUM
ejpam-7126	218	10	-	-	PUNCT
ejpam-7126	218	11	2α)100	2α)100	NUM
ejpam-7126	218	12	%	%	NOUN
ejpam-7126	218	13	approximate	approximate	ADJ
ejpam-7126	218	14	confidence	confidence	NOUN
ejpam-7126	218	15	intervals	interval	NOUN
ejpam-7126	218	16	of	of	ADP
ejpam-7126	218	17	parameters	parameter	NOUN
ejpam-7126	218	18	are	be	AUX
ejpam-7126	218	19	given	give	VERB
ejpam-7126	218	20	by	by	ADP
ejpam-7126	218	21	λ̂∓	λ̂∓	NOUN
ejpam-7126	218	22	ξα	ξα	VERB
ejpam-7126	218	23	√	√	NUM
ejpam-7126	218	24	ψ−1	ψ−1	PROPN
ejpam-7126	218	25	1,1	1,1	NUM
ejpam-7126	218	26	,	,	PUNCT
ejpam-7126	218	27	and	and	CCONJ
ejpam-7126	218	28	β̂	β̂	X
ejpam-7126	218	29	∓	∓	NOUN
ejpam-7126	218	30	ξα	ξα	VERB
ejpam-7126	218	31	√	√	INTJ
ejpam-7126	218	32	ψ−1	ψ−1	PROPN
ejpam-7126	218	33	2,2	2,2	NUM
ejpam-7126	218	34	,	,	PUNCT
ejpam-7126	218	35	(	(	PUNCT
ejpam-7126	218	36	25	25	NUM
ejpam-7126	218	37	)	)	PUNCT
ejpam-7126	218	38	where	where	SCONJ
ejpam-7126	218	39	,	,	PUNCT
ejpam-7126	218	40	ψ−1	ψ−1	PROPN
ejpam-7126	218	41	i	i	PROPN
ejpam-7126	218	42	,	,	PUNCT
ejpam-7126	218	43	j	j	PROPN
ejpam-7126	218	44	,	,	PUNCT
ejpam-7126	218	45	i	i	PROPN
ejpam-7126	218	46	,	,	PUNCT
ejpam-7126	218	47	j	j	PROPN
ejpam-7126	218	48	=	=	SYM
ejpam-7126	218	49	1	1	NUM
ejpam-7126	218	50	,	,	PUNCT
ejpam-7126	218	51	2	2	NUM
ejpam-7126	218	52	are	be	AUX
ejpam-7126	218	53	the	the	DET
ejpam-7126	218	54	element	element	NOUN
ejpam-7126	218	55	of	of	ADP
ejpam-7126	218	56	diagonal	diagonal	ADJ
ejpam-7126	218	57	for	for	ADP
ejpam-7126	218	58	ψ−1	ψ−1	PROPN
ejpam-7126	218	59	i	i	PROPN
ejpam-7126	218	60	,	,	PUNCT
ejpam-7126	218	61	j	j	PROPN
ejpam-7126	218	62	(	(	PUNCT
ejpam-7126	218	63	λ̂	λ̂	X
ejpam-7126	218	64	,	,	PUNCT
ejpam-7126	218	65	β̂	β̂	NUM
ejpam-7126	218	66	)	)	PUNCT
ejpam-7126	218	67	and	and	CCONJ
ejpam-7126	218	68	the	the	DET
ejpam-7126	218	69	value	value	NOUN
ejpam-7126	218	70	ξα	ξα	NOUN
ejpam-7126	218	71	is	be	AUX
ejpam-7126	218	72	a	a	DET
ejpam-7126	218	73	tabulated	tabulate	VERB
ejpam-7126	218	74	standard	standard	ADJ
ejpam-7126	218	75	normal	normal	ADJ
ejpam-7126	218	76	value	value	NOUN
ejpam-7126	218	77	with	with	ADP
ejpam-7126	218	78	confidence	confidence	NOUN
ejpam-7126	218	79	level	level	NOUN
ejpam-7126	218	80	2α	2α	NOUN
ejpam-7126	218	81	.	.	PUNCT
ejpam-7126	219	1	4.2	4.2	NUM
ejpam-7126	219	2	.	.	PUNCT
ejpam-7126	219	3	bootstrap	bootstrap	NOUN
ejpam-7126	219	4	confidence	confidence	NOUN
ejpam-7126	219	5	intervals	interval	NOUN
ejpam-7126	219	6	bootstrap	bootstrap	NOUN
ejpam-7126	219	7	techniques	technique	NOUN
ejpam-7126	219	8	are	be	AUX
ejpam-7126	219	9	commonly	commonly	ADV
ejpam-7126	219	10	used	use	VERB
ejpam-7126	219	11	methods	method	NOUN
ejpam-7126	219	12	in	in	ADP
ejpam-7126	219	13	literature	literature	NOUN
ejpam-7126	219	14	to	to	PART
ejpam-7126	219	15	formulate	formulate	VERB
ejpam-7126	219	16	confidenca	confidenca	NOUN
ejpam-7126	219	17	e	e	NOUN
ejpam-7126	219	18	interval	interval	NOUN
ejpam-7126	219	19	of	of	ADP
ejpam-7126	219	20	the	the	DET
ejpam-7126	219	21	parameters	parameter	NOUN
ejpam-7126	219	22	.	.	PUNCT
ejpam-7126	220	1	in	in	ADP
ejpam-7126	220	2	the	the	DET
ejpam-7126	220	3	problem	problem	NOUN
ejpam-7126	220	4	at	at	ADP
ejpam-7126	220	5	hand	hand	NOUN
ejpam-7126	220	6	,	,	PUNCT
ejpam-7126	220	7	paramteric	paramteric	NOUN
ejpam-7126	220	8	bootstrap	bootstrap	NOUN
ejpam-7126	220	9	techniques	technique	NOUN
ejpam-7126	220	10	is	be	AUX
ejpam-7126	220	11	used	use	VERB
ejpam-7126	220	12	to	to	PART
ejpam-7126	220	13	formulate	formulate	VERB
ejpam-7126	220	14	boot	boot	NOUN
ejpam-7126	220	15	-	-	PUNCT
ejpam-7126	220	16	p	p	NOUN
ejpam-7126	220	17	and	and	CCONJ
ejpam-7126	220	18	boot	boot	NOUN
ejpam-7126	220	19	-	-	PUNCT
ejpam-7126	220	20	t	t	NOUN
ejpam-7126	220	21	confidence	confidence	NOUN
ejpam-7126	220	22	interval	interval	NOUN
ejpam-7126	220	23	,	,	PUNCT
ejpam-7126	220	24	see	see	VERB
ejpam-7126	220	25	[	[	X
ejpam-7126	220	26	25	25	NUM
ejpam-7126	220	27	]	]	PUNCT
ejpam-7126	220	28	,	,	PUNCT
ejpam-7126	221	1	[	[	X
ejpam-7126	221	2	26	26	NUM
ejpam-7126	221	3	]	]	PUNCT
ejpam-7126	221	4	and	and	CCONJ
ejpam-7126	221	5	[	[	X
ejpam-7126	221	6	27	27	NUM
ejpam-7126	221	7	]	]	PUNCT
ejpam-7126	221	8	as	as	SCONJ
ejpam-7126	221	9	follows	follow	VERB
ejpam-7126	221	10	algorithm	algorithm	NOUN
ejpam-7126	221	11	2	2	NUM
ejpam-7126	221	12	(	(	PUNCT
ejpam-7126	221	13	bootstrap	bootstrap	NOUN
ejpam-7126	221	14	confidence	confidence	NOUN
ejpam-7126	221	15	intervals	interval	NOUN
ejpam-7126	221	16	):	):	PUNCT
ejpam-7126	221	17	step	step	NOUN
ejpam-7126	221	18	1	1	NUM
ejpam-7126	221	19	:	:	PUNCT
ejpam-7126	221	20	from	from	ADP
ejpam-7126	221	21	a	a	DET
ejpam-7126	221	22	real	real	ADJ
ejpam-7126	221	23	life	life	NOUN
ejpam-7126	221	24	population	population	NOUN
ejpam-7126	221	25	and	and	CCONJ
ejpam-7126	221	26	the	the	DET
ejpam-7126	221	27	prior	prior	ADJ
ejpam-7126	221	28	integer	integer	PROPN
ejpam-7126	221	29	k	k	PROPN
ejpam-7126	221	30	,	,	PUNCT
ejpam-7126	221	31	m	m	VERB
ejpam-7126	221	32	and	and	CCONJ
ejpam-7126	221	33	n	n	ADV
ejpam-7126	221	34	as	as	ADV
ejpam-7126	221	35	well	well	ADV
ejpam-7126	221	36	as	as	ADP
ejpam-7126	221	37	τ	τ	PROPN
ejpam-7126	221	38	<	<	X
ejpam-7126	221	39	η	η	PROPN
ejpam-7126	221	40	determine	determine	VERB
ejpam-7126	221	41	the	the	DET
ejpam-7126	221	42	original	original	ADJ
ejpam-7126	221	43	data	datum	NOUN
ejpam-7126	221	44	set	set	VERB
ejpam-7126	221	45	t	t	PROPN
ejpam-7126	221	46	=(	=(	NOUN
ejpam-7126	221	47	t1	t1	PROPN
ejpam-7126	221	48	,	,	PUNCT
ejpam-7126	221	49	t2	t2	NOUN
ejpam-7126	221	50	,	,	PUNCT
ejpam-7126	221	51	...	...	PUNCT
ejpam-7126	221	52	,	,	PUNCT
ejpam-7126	221	53	tj	tj	X
ejpam-7126	221	54	,	,	PUNCT
ejpam-7126	221	55	tj+1	tj+1	PROPN
ejpam-7126	221	56	,	,	PUNCT
ejpam-7126	221	57	...	...	PUNCT
ejpam-7126	221	58	,	,	PUNCT
ejpam-7126	221	59	tr	tr	VERB
ejpam-7126	221	60	)	)	PUNCT
ejpam-7126	221	61	.	.	PUNCT
ejpam-7126	222	1	step	step	NOUN
ejpam-7126	222	2	2	2	NUM
ejpam-7126	222	3	:	:	PUNCT
ejpam-7126	222	4	the	the	DET
ejpam-7126	222	5	ml	ml	NOUN
ejpam-7126	222	6	estimates	estimate	NOUN
ejpam-7126	222	7	λ̂	λ̂	X
ejpam-7126	222	8	and	and	CCONJ
ejpam-7126	222	9	β̂	β̂	ADP
ejpam-7126	222	10	are	be	AUX
ejpam-7126	222	11	computed	compute	VERB
ejpam-7126	222	12	from	from	ADP
ejpam-7126	222	13	the	the	DET
ejpam-7126	222	14	original	original	ADJ
ejpam-7126	222	15	data	datum	NOUN
ejpam-7126	222	16	set	set	VERB
ejpam-7126	222	17	t	t	PROPN
ejpam-7126	222	18	=(	=(	NOUN
ejpam-7126	222	19	t1	t1	PROPN
ejpam-7126	222	20	,	,	PUNCT
ejpam-7126	222	21	t2	t2	NOUN
ejpam-7126	222	22	,	,	PUNCT
ejpam-7126	222	23	...	...	PUNCT
ejpam-7126	222	24	,	,	PUNCT
ejpam-7126	222	25	tj	tj	X
ejpam-7126	222	26	,	,	PUNCT
ejpam-7126	222	27	tj+1	tj+1	PROPN
ejpam-7126	222	28	,	,	PUNCT
ejpam-7126	222	29	...	...	PUNCT
ejpam-7126	222	30	,	,	PUNCT
ejpam-7126	222	31	tr	tr	VERB
ejpam-7126	222	32	)	)	PUNCT
ejpam-7126	222	33	.	.	PUNCT
ejpam-7126	223	1	step	step	NOUN
ejpam-7126	223	2	3	3	NUM
ejpam-7126	223	3	:	:	PUNCT
ejpam-7126	223	4	put	put	VERB
ejpam-7126	223	5	s	s	NOUN
ejpam-7126	223	6	=	=	NOUN
ejpam-7126	223	7	1	1	X
ejpam-7126	223	8	.	.	PUNCT
ejpam-7126	223	9	step	step	NOUN
ejpam-7126	223	10	4	4	NUM
ejpam-7126	223	11	:	:	PUNCT
ejpam-7126	223	12	with	with	ADP
ejpam-7126	223	13	the	the	DET
ejpam-7126	223	14	same	same	ADJ
ejpam-7126	223	15	prior	prior	ADJ
ejpam-7126	223	16	integer	integer	PROPN
ejpam-7126	223	17	k	k	PROPN
ejpam-7126	223	18	,	,	PUNCT
ejpam-7126	223	19	m	m	VERB
ejpam-7126	223	20	and	and	CCONJ
ejpam-7126	223	21	n	n	ADV
ejpam-7126	223	22	as	as	ADV
ejpam-7126	223	23	well	well	ADV
ejpam-7126	223	24	as	as	ADP
ejpam-7126	223	25	τ	τ	PROPN
ejpam-7126	223	26	<	<	X
ejpam-7126	223	27	η	η	PROPN
ejpam-7126	223	28	generate	generate	VERB
ejpam-7126	223	29	a	a	DET
ejpam-7126	223	30	type	type	NOUN
ejpam-7126	223	31	-	-	PUNCT
ejpam-7126	223	32	i	i	PRON
ejpam-7126	223	33	ghc	ghc	NOUN
ejpam-7126	223	34	random	random	ADJ
ejpam-7126	223	35	from	from	ADP
ejpam-7126	223	36	i	i	PROPN
ejpam-7126	223	37	d	d	PROPN
ejpam-7126	223	38	with	with	ADP
ejpam-7126	223	39	parameters	parameter	NOUN
ejpam-7126	223	40	β̂.	β̂.	PROPN
ejpam-7126	223	41	step	step	NOUN
ejpam-7126	223	42	5	5	NUM
ejpam-7126	223	43	:	:	PUNCT
ejpam-7126	223	44	applied	apply	VERB
ejpam-7126	223	45	the	the	DET
ejpam-7126	223	46	transformation	transformation	NOUN
ejpam-7126	223	47	(	(	PUNCT
ejpam-7126	223	48	4	4	NUM
ejpam-7126	223	49	)	)	PUNCT
ejpam-7126	223	50	for	for	ADP
ejpam-7126	223	51	all	all	DET
ejpam-7126	223	52	data	datum	NOUN
ejpam-7126	223	53	larger	large	ADJ
ejpam-7126	223	54	than	than	SCONJ
ejpam-7126	223	55	η	η	PROPN
ejpam-7126	223	56	to	to	PART
ejpam-7126	223	57	get	get	VERB
ejpam-7126	223	58	the	the	DET
ejpam-7126	223	59	accelerated	accelerated	ADJ
ejpam-7126	223	60	type	type	NOUN
ejpam-7126	223	61	-	-	PUNCT
ejpam-7126	223	62	i	i	PRON
ejpam-7126	223	63	ghc	ghc	NOUN
ejpam-7126	223	64	bootstrap	bootstrap	NOUN
ejpam-7126	223	65	sample	sample	NOUN
ejpam-7126	223	66	data	data	PROPN
ejpam-7126	223	67	t∗	t∗	PROPN
ejpam-7126	223	68	=(	=(	PROPN
ejpam-7126	223	69	t∗1	t∗1	PROPN
ejpam-7126	223	70	,	,	PUNCT
ejpam-7126	223	71	t∗2	t∗2	NOUN
ejpam-7126	223	72	,	,	PUNCT
ejpam-7126	223	73	...	...	PUNCT
ejpam-7126	223	74	,	,	PUNCT
ejpam-7126	223	75	t∗j	t∗j	NUM
ejpam-7126	223	76	,	,	PUNCT
ejpam-7126	223	77	t∗j+1	t∗j+1	NOUN
ejpam-7126	223	78	,	,	PUNCT
ejpam-7126	223	79	...	...	PUNCT
ejpam-7126	223	80	,	,	PUNCT
ejpam-7126	223	81	t	t	PROPN
ejpam-7126	223	82	∗	∗	NOUN
ejpam-7126	223	83	r	r	NOUN
ejpam-7126	223	84	)	)	PUNCT
ejpam-7126	223	85	.	.	PUNCT
ejpam-7126	224	1	step	step	NOUN
ejpam-7126	224	2	6	6	NUM
ejpam-7126	224	3	:	:	PUNCT
ejpam-7126	224	4	compute	compute	VERB
ejpam-7126	224	5	the	the	DET
ejpam-7126	224	6	ml	ml	NOUN
ejpam-7126	224	7	estimates	estimate	NOUN
ejpam-7126	224	8	λ̂∗	λ̂∗	PROPN
ejpam-7126	224	9	and	and	CCONJ
ejpam-7126	224	10	β̂∗	β̂∗	NOUN
ejpam-7126	224	11	from	from	ADP
ejpam-7126	224	12	bootstrap	bootstrap	NOUN
ejpam-7126	224	13	sample	sample	NOUN
ejpam-7126	224	14	data	datum	NOUN
ejpam-7126	224	15	t∗	t∗	PROPN
ejpam-7126	224	16	=(	=(	PROPN
ejpam-7126	224	17	t∗1	t∗1	PROPN
ejpam-7126	224	18	,	,	PUNCT
ejpam-7126	224	19	t∗2	t∗2	NOUN
ejpam-7126	224	20	,	,	PUNCT
ejpam-7126	224	21	...	...	PUNCT
ejpam-7126	224	22	,	,	PUNCT
ejpam-7126	224	23	t∗j	t∗j	NUM
ejpam-7126	224	24	,	,	PUNCT
ejpam-7126	224	25	t	t	PROPN
ejpam-7126	224	26	∗	∗	NOUN
ejpam-7126	224	27	j+1	j+1	PROPN
ejpam-7126	224	28	,	,	PUNCT
ejpam-7126	224	29	...	...	PUNCT
ejpam-7126	224	30	,	,	PUNCT
ejpam-7126	224	31	t	t	PROPN
ejpam-7126	224	32	∗	∗	NOUN
ejpam-7126	224	33	r	r	NOUN
ejpam-7126	224	34	)	)	PUNCT
ejpam-7126	224	35	.	.	PUNCT
ejpam-7126	225	1	step	step	NOUN
ejpam-7126	225	2	7	7	NUM
ejpam-7126	225	3	:	:	PUNCT
ejpam-7126	225	4	put	put	VERB
ejpam-7126	225	5	s	s	NOUN
ejpam-7126	225	6	=	=	PUNCT
ejpam-7126	225	7	s+	s+	PUNCT
ejpam-7126	225	8	1	1	NUM
ejpam-7126	225	9	.	.	PUNCT
ejpam-7126	226	1	s.	s.	PROPN
ejpam-7126	226	2	k.	k.	PROPN
ejpam-7126	226	3	badr	badr	PROPN
ejpam-7126	226	4	/	/	SYM
ejpam-7126	226	5	eur	eur	PROPN
ejpam-7126	226	6	.	.	PUNCT
ejpam-7126	227	1	j.	j.	PROPN
ejpam-7126	227	2	pure	pure	PROPN
ejpam-7126	227	3	appl	appl	PROPN
ejpam-7126	227	4	.	.	PROPN
ejpam-7126	227	5	math	math	PROPN
ejpam-7126	227	6	,	,	PUNCT
ejpam-7126	227	7	18	18	NUM
ejpam-7126	227	8	(	(	PUNCT
ejpam-7126	227	9	4	4	NUM
ejpam-7126	227	10	)	)	PUNCT
ejpam-7126	227	11	(	(	PUNCT
ejpam-7126	227	12	2025	2025	NUM
ejpam-7126	227	13	)	)	PUNCT
ejpam-7126	227	14	,	,	PUNCT
ejpam-7126	227	15	7126	7126	NUM
ejpam-7126	227	16	11	11	NUM
ejpam-7126	227	17	of	of	ADP
ejpam-7126	227	18	20	20	NUM
ejpam-7126	227	19	step	step	NOUN
ejpam-7126	227	20	8	8	NUM
ejpam-7126	227	21	:	:	PUNCT
ejpam-7126	227	22	repeat	repeat	VERB
ejpam-7126	227	23	the	the	DET
ejpam-7126	227	24	steps	step	NOUN
ejpam-7126	227	25	from	from	ADP
ejpam-7126	227	26	3	3	NUM
ejpam-7126	227	27	to	to	PART
ejpam-7126	227	28	7	7	NUM
ejpam-7126	227	29	nb	nb	NOUN
ejpam-7126	227	30	-	-	PUNCT
ejpam-7126	227	31	times	time	NOUN
ejpam-7126	227	32	,	,	PUNCT
ejpam-7126	227	33	we	we	PRON
ejpam-7126	227	34	obtain	obtain	VERB
ejpam-7126	227	35	the	the	DET
ejpam-7126	227	36	bootstrap	bootstrap	NOUN
ejpam-7126	227	37	sample	sample	NOUN
ejpam-7126	227	38	estimate	estimate	VERB
ejpam-7126	227	39	θ	θ	NOUN
ejpam-7126	227	40	∗(1	∗(1	X
ejpam-7126	227	41	)	)	PUNCT
ejpam-7126	227	42	l	l	NOUN
ejpam-7126	227	43	,	,	PUNCT
ejpam-7126	227	44	θ	θ	PROPN
ejpam-7126	227	45	∗(2	∗(2	NOUN
ejpam-7126	227	46	)	)	PUNCT
ejpam-7126	227	47	l	l	NOUN
ejpam-7126	227	48	,	,	PUNCT
ejpam-7126	227	49	...	...	PUNCT
ejpam-7126	227	50	,	,	PUNCT
ejpam-7126	227	51	θ	θ	PROPN
ejpam-7126	227	52	∗(nb	∗(nb	NOUN
ejpam-7126	227	53	)	)	PUNCT
ejpam-7126	227	54	l	l	NOUN
ejpam-7126	227	55	,	,	PUNCT
ejpam-7126	227	56	l	l	NOUN
ejpam-7126	227	57	=	=	SYM
ejpam-7126	227	58	1,2	1,2	NUM
ejpam-7126	227	59	,	,	PUNCT
ejpam-7126	227	60	θ∗1	θ∗1	NOUN
ejpam-7126	227	61	=	=	SYM
ejpam-7126	227	62	λ∗	λ∗	NOUN
ejpam-7126	227	63	and	and	CCONJ
ejpam-7126	227	64	θ∗2	θ∗2	NOUN
ejpam-7126	227	65	=	=	SYM
ejpam-7126	227	66	β∗	β∗	NOUN
ejpam-7126	227	67	(	(	PUNCT
ejpam-7126	227	68	26	26	NUM
ejpam-7126	227	69	)	)	PUNCT
ejpam-7126	227	70	boot	boot	NOUN
ejpam-7126	227	71	-	-	PUNCT
ejpam-7126	227	72	p	p	NOUN
ejpam-7126	227	73	confidence	confidence	NOUN
ejpam-7126	227	74	intervals	interval	NOUN
ejpam-7126	227	75	(	(	PUNCT
ejpam-7126	227	76	pbci	pbci	PROPN
ejpam-7126	227	77	)	)	PUNCT
ejpam-7126	227	78	the	the	DET
ejpam-7126	227	79	ordered	order	VERB
ejpam-7126	227	80	value	value	NOUN
ejpam-7126	227	81	of	of	ADP
ejpam-7126	227	82	(	(	PUNCT
ejpam-7126	227	83	26	26	NUM
ejpam-7126	227	84	)	)	PUNCT
ejpam-7126	227	85	is	be	AUX
ejpam-7126	227	86	given	give	VERB
ejpam-7126	227	87	by	by	ADP
ejpam-7126	227	88	θ∗l(1	θ∗l(1	NOUN
ejpam-7126	227	89	)	)	PUNCT
ejpam-7126	227	90	,	,	PUNCT
ejpam-7126	227	91	θ	θ	PROPN
ejpam-7126	227	92	∗	∗	PROPN
ejpam-7126	227	93	l(2	l(2	PROPN
ejpam-7126	227	94	)	)	PUNCT
ejpam-7126	227	95	,	,	PUNCT
ejpam-7126	227	96	...	...	PUNCT
ejpam-7126	227	97	,	,	PUNCT
ejpam-7126	227	98	θ	θ	NOUN
ejpam-7126	227	99	∗	∗	NOUN
ejpam-7126	227	100	l(nb	l(nb	NOUN
ejpam-7126	227	101	)	)	PUNCT
ejpam-7126	227	102	,	,	PUNCT
ejpam-7126	227	103	suppose	suppose	VERB
ejpam-7126	227	104	γ(x	γ(x	NOUN
ejpam-7126	227	105	)	)	PUNCT
ejpam-7126	227	106	the	the	DET
ejpam-7126	227	107	emperical	emperical	ADJ
ejpam-7126	227	108	distribution	distribution	NOUN
ejpam-7126	227	109	of	of	ADP
ejpam-7126	227	110	the	the	DET
ejpam-7126	227	111	ordered	order	VERB
ejpam-7126	227	112	bootstrap	bootstrap	NOUN
ejpam-7126	227	113	sample	sample	NOUN
ejpam-7126	227	114	estimated	estimate	VERB
ejpam-7126	227	115	(	(	PUNCT
ejpam-7126	227	116	27	27	NUM
ejpam-7126	227	117	)	)	PUNCT
ejpam-7126	227	118	then	then	ADV
ejpam-7126	227	119	,	,	PUNCT
ejpam-7126	227	120	f	f	PROPN
ejpam-7126	227	121	(	(	PUNCT
ejpam-7126	227	122	x	x	X
ejpam-7126	227	123	)	)	PUNCT
ejpam-7126	227	124	=	=	SYM
ejpam-7126	227	125	p	p	X
ejpam-7126	227	126	(	(	PUNCT
ejpam-7126	227	127	θl	θl	PROPN
ejpam-7126	227	128	⩽	⩽	NOUN
ejpam-7126	227	129	x	x	X
ejpam-7126	227	130	)	)	PUNCT
ejpam-7126	227	131	,	,	PUNCT
ejpam-7126	227	132	i	i	PRON
ejpam-7126	227	133	=	=	NOUN
ejpam-7126	227	134	1	1	NUM
ejpam-7126	227	135	,	,	PUNCT
ejpam-7126	227	136	2	2	NUM
ejpam-7126	227	137	be	be	AUX
ejpam-7126	227	138	a	a	DET
ejpam-7126	227	139	cdf	cdf	NOUN
ejpam-7126	227	140	of	of	ADP
ejpam-7126	227	141	θl	θl	PROPN
ejpam-7126	227	142	and	and	CCONJ
ejpam-7126	227	143	the	the	DET
ejpam-7126	227	144	corresponding	correspond	VERB
ejpam-7126	227	145	(	(	PUNCT
ejpam-7126	227	146	1	1	NUM
ejpam-7126	227	147	−	−	PROPN
ejpam-7126	227	148	2α)100	2α)100	NUM
ejpam-7126	227	149	%	%	NOUN
ejpam-7126	227	150	pbcis	pbcis	NOUN
ejpam-7126	227	151	are	be	AUX
ejpam-7126	227	152	given	give	VERB
ejpam-7126	227	153	by	by	ADP
ejpam-7126	227	154	(	(	PUNCT
ejpam-7126	227	155	θ∗l(αnb	θ∗l(αnb	PROPN
ejpam-7126	227	156	)	)	PUNCT
ejpam-7126	227	157	,	,	PUNCT
ejpam-7126	227	158	θ∗l((1	θ∗l((1	PROPN
ejpam-7126	227	159	-	-	PUNCT
ejpam-7126	227	160	α)nb	α)nb	PROPN
ejpam-7126	227	161	)	)	PUNCT
ejpam-7126	227	162	)	)	PUNCT
ejpam-7126	227	163	,	,	PUNCT
ejpam-7126	227	164	(	(	PUNCT
ejpam-7126	227	165	28	28	NUM
ejpam-7126	227	166	)	)	PUNCT
ejpam-7126	227	167	where	where	SCONJ
ejpam-7126	227	168	of	of	ADP
ejpam-7126	227	169	θ∗l	θ∗l	NUM
ejpam-7126	227	170	(	(	PUNCT
ejpam-7126	227	171	.	.	PUNCT
ejpam-7126	227	172	)	)	PUNCT
ejpam-7126	228	1	=	=	SYM
ejpam-7126	228	2	γ−1(x	γ−1(x	NOUN
ejpam-7126	228	3	)	)	PUNCT
ejpam-7126	228	4	.	.	PUNCT
ejpam-7126	229	1	boot	boot	NOUN
ejpam-7126	229	2	-	-	PUNCT
ejpam-7126	229	3	t	t	NOUN
ejpam-7126	229	4	confidence	confidence	NOUN
ejpam-7126	229	5	interval	interval	NOUN
ejpam-7126	229	6	(	(	PUNCT
ejpam-7126	229	7	btci	btci	NOUN
ejpam-7126	229	8	)	)	PUNCT
ejpam-7126	229	9	from	from	ADP
ejpam-7126	229	10	the	the	DET
ejpam-7126	229	11	ordered	order	VERB
ejpam-7126	229	12	sample	sample	NOUN
ejpam-7126	229	13	θ∗l(1	θ∗l(1	NOUN
ejpam-7126	229	14	)	)	PUNCT
ejpam-7126	229	15	,	,	PUNCT
ejpam-7126	229	16	θ	θ	PROPN
ejpam-7126	229	17	∗	∗	PROPN
ejpam-7126	229	18	l(2	l(2	PROPN
ejpam-7126	229	19	)	)	PUNCT
ejpam-7126	229	20	,	,	PUNCT
ejpam-7126	229	21	...	...	PUNCT
ejpam-7126	229	22	,	,	PUNCT
ejpam-7126	229	23	θ∗l(nb	θ∗l(nb	PROPN
ejpam-7126	229	24	)	)	PUNCT
ejpam-7126	229	25	,	,	PUNCT
ejpam-7126	229	26	we	we	PRON
ejpam-7126	229	27	difene	difene	VERB
ejpam-7126	229	28	the	the	DET
ejpam-7126	229	29	statistics	statistic	NOUN
ejpam-7126	229	30	φ∗	φ∗	NOUN
ejpam-7126	229	31	l(1	l(1	PROPN
ejpam-7126	229	32	)	)	PUNCT
ejpam-7126	229	33	<	<	X
ejpam-7126	229	34	φ∗	φ∗	PROPN
ejpam-7126	229	35	l(2	l(2	PROPN
ejpam-7126	229	36	)	)	PUNCT
ejpam-7126	229	37	<	<	X
ejpam-7126	229	38	...	...	PUNCT
ejpam-7126	230	1	<	<	X
ejpam-7126	230	2	φ∗	φ∗	NOUN
ejpam-7126	230	3	l(mb	l(mb	PROPN
ejpam-7126	230	4	)	)	PUNCT
ejpam-7126	230	5	by	by	ADP
ejpam-7126	230	6	φ∗	φ∗	NOUN
ejpam-7126	230	7	l(j	l(j	NOUN
ejpam-7126	230	8	)	)	PUNCT
ejpam-7126	230	9	=	=	SYM
ejpam-7126	230	10	√	√	ADP
ejpam-7126	230	11	r	r	NOUN
ejpam-7126	230	12	θ∗l(j	θ∗l(j	NOUN
ejpam-7126	230	13	)	)	PUNCT
ejpam-7126	230	14	−	−	PROPN
ejpam-7126	230	15	θ̂l√	θ̂l√	NOUN
ejpam-7126	230	16	var	var	NOUN
ejpam-7126	230	17	(	(	PUNCT
ejpam-7126	230	18	θ∗l(j	θ∗l(j	NOUN
ejpam-7126	230	19	)	)	PUNCT
ejpam-7126	230	20	)	)	PUNCT
ejpam-7126	230	21	,	,	PUNCT
ejpam-7126	231	1	l	l	NOUN
ejpam-7126	231	2	=	=	SYM
ejpam-7126	231	3	1	1	NUM
ejpam-7126	231	4	,	,	PUNCT
ejpam-7126	231	5	2	2	NUM
ejpam-7126	231	6	.	.	PUNCT
ejpam-7126	232	1	(	(	PUNCT
ejpam-7126	232	2	29	29	NUM
ejpam-7126	232	3	)	)	PUNCT
ejpam-7126	232	4	let	let	VERB
ejpam-7126	232	5	γ(x	γ(x	NOUN
ejpam-7126	232	6	)	)	PUNCT
ejpam-7126	233	1	=	=	SYM
ejpam-7126	233	2	p	p	X
ejpam-7126	233	3	(	(	PUNCT
ejpam-7126	233	4	φ∗	φ∗	NOUN
ejpam-7126	233	5	i	i	PRON
ejpam-7126	233	6	⩽	⩽	NOUN
ejpam-7126	233	7	x	x	X
ejpam-7126	233	8	)	)	PUNCT
ejpam-7126	233	9	be	be	VERB
ejpam-7126	233	10	the	the	DET
ejpam-7126	233	11	cdf	cdf	PROPN
ejpam-7126	233	12	of	of	ADP
ejpam-7126	233	13	φ∗	φ∗	NOUN
ejpam-7126	233	14	i	i	PRON
ejpam-7126	233	15	.	.	PUNCT
ejpam-7126	234	1	therefore	therefore	ADV
ejpam-7126	234	2	for	for	SCONJ
ejpam-7126	234	3	given	give	VERB
ejpam-7126	234	4	x	x	PRON
ejpam-7126	234	5	,	,	PUNCT
ejpam-7126	234	6	we	we	PRON
ejpam-7126	234	7	define	define	VERB
ejpam-7126	234	8	θ∗lboot	θ∗lboot	NOUN
ejpam-7126	234	9	-	-	PUNCT
ejpam-7126	234	10	t	t	NOUN
ejpam-7126	234	11	=	=	SYM
ejpam-7126	234	12	θ̂l	θ̂l	PROPN
ejpam-7126	235	1	+	+	CCONJ
ejpam-7126	235	2	√	√	NUM
ejpam-7126	236	1	rvar(θ̂l)γ−1(x	rvar(θ̂l)γ−1(x	NOUN
ejpam-7126	236	2	)	)	PUNCT
ejpam-7126	236	3	,	,	PUNCT
ejpam-7126	236	4	(	(	PUNCT
ejpam-7126	236	5	30	30	X
ejpam-7126	236	6	)	)	PUNCT
ejpam-7126	236	7	the	the	DET
ejpam-7126	236	8	corresponding	correspond	VERB
ejpam-7126	236	9	(	(	PUNCT
ejpam-7126	236	10	1−	1−	NUM
ejpam-7126	236	11	2α)100	2α)100	NUM
ejpam-7126	236	12	%	%	NOUN
ejpam-7126	236	13	ptcis	ptcis	NOUN
ejpam-7126	236	14	are	be	AUX
ejpam-7126	236	15	given	give	VERB
ejpam-7126	236	16	by	by	ADP
ejpam-7126	236	17	(	(	PUNCT
ejpam-7126	236	18	θ∗lboot	θ∗lboot	NOUN
ejpam-7126	236	19	-	-	PUNCT
ejpam-7126	236	20	t(α	t(α	NUM
ejpam-7126	236	21	)	)	PUNCT
ejpam-7126	236	22	,	,	PUNCT
ejpam-7126	236	23	θ	θ	PROPN
ejpam-7126	236	24	∗	∗	NOUN
ejpam-7126	236	25	lboot	lboot	PROPN
ejpam-7126	236	26	-	-	PUNCT
ejpam-7126	236	27	t(1	t(1	NOUN
ejpam-7126	236	28	-	-	PUNCT
ejpam-7126	236	29	α	α	NOUN
ejpam-7126	236	30	)	)	PUNCT
ejpam-7126	236	31	)	)	PUNCT
ejpam-7126	237	1	(	(	PUNCT
ejpam-7126	237	2	31	31	NUM
ejpam-7126	237	3	)	)	PUNCT
ejpam-7126	237	4	4.3	4.3	NUM
ejpam-7126	237	5	.	.	PUNCT
ejpam-7126	238	1	bayesian	bayesian	NOUN
ejpam-7126	238	2	credible	credible	ADJ
ejpam-7126	238	3	interval	interval	NOUN
ejpam-7126	238	4	from	from	ADP
ejpam-7126	238	5	the	the	DET
ejpam-7126	238	6	bayes	bayes	PROPN
ejpam-7126	238	7	estimate	estimate	NOUN
ejpam-7126	238	8	sample	sample	NOUN
ejpam-7126	238	9	generated	generate	VERB
ejpam-7126	238	10	from	from	ADP
ejpam-7126	238	11	mcmc	mcmc	PROPN
ejpam-7126	238	12	method	method	NOUN
ejpam-7126	238	13	θ̂	θ̂	NUM
ejpam-7126	238	14	(	(	PUNCT
ejpam-7126	238	15	1	1	X
ejpam-7126	238	16	)	)	PUNCT
ejpam-7126	238	17	bl	bl	PROPN
ejpam-7126	238	18	,	,	PUNCT
ejpam-7126	238	19	θ̂	θ̂	X
ejpam-7126	238	20	(	(	PUNCT
ejpam-7126	238	21	2	2	NUM
ejpam-7126	238	22	)	)	PUNCT
ejpam-7126	238	23	bl	bl	PROPN
ejpam-7126	238	24	,	,	PUNCT
ejpam-7126	238	25	...	...	PUNCT
ejpam-7126	238	26	,	,	PUNCT
ejpam-7126	238	27	θ̂	θ̂	X
ejpam-7126	238	28	(	(	PUNCT
ejpam-7126	238	29	n	n	CCONJ
ejpam-7126	238	30	)	)	PUNCT
ejpam-7126	238	31	bl	bl	INTJ
ejpam-7126	238	32	.	.	PUNCT
ejpam-7126	239	1	(	(	PUNCT
ejpam-7126	239	2	32	32	NUM
ejpam-7126	239	3	)	)	PUNCT
ejpam-7126	239	4	the	the	DET
ejpam-7126	239	5	ordred	ordre	VERB
ejpam-7126	239	6	value	value	NOUN
ejpam-7126	239	7	θ̂bl(1	θ̂bl(1	NOUN
ejpam-7126	239	8	)	)	PUNCT
ejpam-7126	239	9	,	,	PUNCT
ejpam-7126	239	10	θ̂bl(2	θ̂bl(2	PROPN
ejpam-7126	239	11	)	)	PUNCT
ejpam-7126	239	12	,	,	PUNCT
ejpam-7126	239	13	...	...	PUNCT
ejpam-7126	239	14	,	,	PUNCT
ejpam-7126	239	15	θ̂bl(n	θ̂bl(n	NOUN
ejpam-7126	239	16	)	)	PUNCT
ejpam-7126	239	17	,	,	PUNCT
ejpam-7126	239	18	i	i	PRON
ejpam-7126	239	19	=	=	NOUN
ejpam-7126	239	20	1	1	NUM
ejpam-7126	239	21	,	,	PUNCT
ejpam-7126	239	22	2	2	NUM
ejpam-7126	239	23	.	.	PUNCT
ejpam-7126	240	1	(	(	PUNCT
ejpam-7126	240	2	33	33	NUM
ejpam-7126	240	3	)	)	PUNCT
ejpam-7126	240	4	the	the	PRON
ejpam-7126	240	5	(	(	PUNCT
ejpam-7126	240	6	1−	1−	NUM
ejpam-7126	240	7	2α)100	2α)100	NUM
ejpam-7126	240	8	%	%	NOUN
ejpam-7126	240	9	equal	equal	ADJ
ejpam-7126	240	10	two	two	NUM
ejpam-7126	240	11	side	side	ADJ
ejpam-7126	240	12	credible	credible	ADJ
ejpam-7126	240	13	intervals	interval	NOUN
ejpam-7126	240	14	of	of	ADP
ejpam-7126	240	15	the	the	DET
ejpam-7126	240	16	model	model	NOUN
ejpam-7126	240	17	parameters	parameter	NOUN
ejpam-7126	240	18	is	be	AUX
ejpam-7126	240	19	defined	define	VERB
ejpam-7126	240	20	by	by	ADP
ejpam-7126	240	21	(	(	PUNCT
ejpam-7126	240	22	θ̂bl(α	θ̂bl(α	PROPN
ejpam-7126	240	23	2	2	NUM
ejpam-7126	240	24	(	(	PUNCT
ejpam-7126	240	25	n−n∗	n−n∗	NOUN
ejpam-7126	240	26	)	)	PUNCT
ejpam-7126	240	27	)	)	PUNCT
ejpam-7126	240	28	,	,	PUNCT
ejpam-7126	240	29	θ̂bl((1−α	θ̂bl((1−α	NOUN
ejpam-7126	240	30	2	2	X
ejpam-7126	240	31	)	)	PUNCT
ejpam-7126	240	32	(	(	PUNCT
ejpam-7126	240	33	n−n∗	n−n∗	NOUN
ejpam-7126	240	34	)	)	PUNCT
ejpam-7126	240	35	)	)	PUNCT
ejpam-7126	240	36	)	)	PUNCT
ejpam-7126	241	1	(	(	PUNCT
ejpam-7126	241	2	34	34	NUM
ejpam-7126	241	3	)	)	PUNCT
ejpam-7126	241	4	s.	s.	PROPN
ejpam-7126	241	5	k.	k.	PROPN
ejpam-7126	241	6	badr	badr	PROPN
ejpam-7126	241	7	/	/	SYM
ejpam-7126	241	8	eur	eur	PROPN
ejpam-7126	241	9	.	.	PUNCT
ejpam-7126	242	1	j.	j.	PROPN
ejpam-7126	242	2	pure	pure	PROPN
ejpam-7126	242	3	appl	appl	PROPN
ejpam-7126	242	4	.	.	PROPN
ejpam-7126	242	5	math	math	PROPN
ejpam-7126	242	6	,	,	PUNCT
ejpam-7126	242	7	18	18	NUM
ejpam-7126	242	8	(	(	PUNCT
ejpam-7126	242	9	4	4	NUM
ejpam-7126	242	10	)	)	PUNCT
ejpam-7126	242	11	(	(	PUNCT
ejpam-7126	242	12	2025	2025	NUM
ejpam-7126	242	13	)	)	PUNCT
ejpam-7126	242	14	,	,	PUNCT
ejpam-7126	242	15	7126	7126	NUM
ejpam-7126	242	16	12	12	NUM
ejpam-7126	242	17	of	of	ADP
ejpam-7126	242	18	20	20	NUM
ejpam-7126	242	19	5	5	NUM
ejpam-7126	242	20	.	.	PUNCT
ejpam-7126	242	21	numerical	numerical	ADJ
ejpam-7126	242	22	results	result	NOUN
ejpam-7126	242	23	in	in	ADP
ejpam-7126	242	24	this	this	DET
ejpam-7126	242	25	section	section	NOUN
ejpam-7126	242	26	,	,	PUNCT
ejpam-7126	242	27	we	we	PRON
ejpam-7126	242	28	adopt	adopt	VERB
ejpam-7126	242	29	numerical	numerical	ADJ
ejpam-7126	242	30	computation	computation	NOUN
ejpam-7126	242	31	in	in	ADP
ejpam-7126	242	32	the	the	DET
ejpam-7126	242	33	form	form	NOUN
ejpam-7126	242	34	real	real	ADJ
ejpam-7126	242	35	data	datum	NOUN
ejpam-7126	242	36	analysis	analysis	NOUN
ejpam-7126	242	37	and	and	CCONJ
ejpam-7126	242	38	simulation	simulation	NOUN
ejpam-7126	242	39	study	study	NOUN
ejpam-7126	242	40	.	.	PUNCT
ejpam-7126	243	1	for	for	ADP
ejpam-7126	243	2	data	datum	NOUN
ejpam-7126	243	3	analysis	analysis	NOUN
ejpam-7126	243	4	consider	consider	VERB
ejpam-7126	243	5	the	the	DET
ejpam-7126	243	6	data	datum	NOUN
ejpam-7126	243	7	reported	report	VERB
ejpam-7126	243	8	by	by	ADP
ejpam-7126	243	9	fuller	full	ADJ
ejpam-7126	243	10	et	et	PROPN
ejpam-7126	243	11	al	al	PROPN
ejpam-7126	243	12	.	.	PUNCT
ejpam-7126	244	1	[	[	X
ejpam-7126	244	2	28	28	NUM
ejpam-7126	244	3	]	]	PUNCT
ejpam-7126	244	4	of	of	ADP
ejpam-7126	244	5	glass	glass	NOUN
ejpam-7126	244	6	of	of	ADP
ejpam-7126	244	7	the	the	DET
ejpam-7126	244	8	aircraft	aircraft	NOUN
ejpam-7126	244	9	window	window	NOUN
ejpam-7126	244	10	and	and	CCONJ
ejpam-7126	244	11	bader	bader	PROPN
ejpam-7126	244	12	and	and	CCONJ
ejpam-7126	244	13	priest	priest	NOUN
ejpam-7126	244	14	[	[	X
ejpam-7126	244	15	29	29	NUM
ejpam-7126	244	16	]	]	PUNCT
ejpam-7126	244	17	about	about	ADP
ejpam-7126	244	18	the	the	DET
ejpam-7126	244	19	strength	strength	NOUN
ejpam-7126	244	20	of	of	ADP
ejpam-7126	244	21	single	single	ADJ
ejpam-7126	244	22	-	-	PUNCT
ejpam-7126	244	23	carbon	carbon	NOUN
ejpam-7126	244	24	fibres	fibre	NOUN
ejpam-7126	244	25	in	in	ADP
ejpam-7126	244	26	gpa	gpa	PROPN
ejpam-7126	244	27	.	.	PROPN
ejpam-7126	245	1	5.1	5.1	NUM
ejpam-7126	245	2	.	.	PUNCT
ejpam-7126	246	1	data	datum	NOUN
ejpam-7126	246	2	analysis	analysis	NOUN
ejpam-7126	246	3	in	in	ADP
ejpam-7126	246	4	this	this	DET
ejpam-7126	246	5	subsection	subsection	NOUN
ejpam-7126	246	6	,	,	PUNCT
ejpam-7126	246	7	we	we	PRON
ejpam-7126	246	8	consider	consider	VERB
ejpam-7126	246	9	two	two	NUM
ejpam-7126	246	10	real	real	ADJ
ejpam-7126	246	11	data	datum	NOUN
ejpam-7126	246	12	sets	set	NOUN
ejpam-7126	246	13	and	and	CCONJ
ejpam-7126	246	14	the	the	DET
ejpam-7126	246	15	goodness	goodness	NOUN
ejpam-7126	246	16	of	of	ADP
ejpam-7126	246	17	fit	fit	NOUN
ejpam-7126	246	18	of	of	ADP
ejpam-7126	246	19	these	these	DET
ejpam-7126	246	20	data	datum	NOUN
ejpam-7126	246	21	to	to	ADP
ejpam-7126	246	22	i	i	PROPN
ejpam-7126	246	23	d	d	PROPN
ejpam-7126	246	24	has	have	AUX
ejpam-7126	246	25	been	be	AUX
ejpam-7126	246	26	done	do	VERB
ejpam-7126	246	27	by	by	ADP
ejpam-7126	246	28	shanker	shanker	NOUN
ejpam-7126	246	29	and	and	CCONJ
ejpam-7126	246	30	shukla	shukla	NOUN
ejpam-7126	247	1	[	[	X
ejpam-7126	247	2	3	3	NUM
ejpam-7126	247	3	]	]	PUNCT
ejpam-7126	247	4	.	.	PUNCT
ejpam-7126	248	1	example	example	NOUN
ejpam-7126	249	1	1	1	NUM
ejpam-7126	249	2	:	:	PUNCT
ejpam-7126	249	3	the	the	DET
ejpam-7126	249	4	following	follow	VERB
ejpam-7126	249	5	data	datum	NOUN
ejpam-7126	249	6	describe	describe	VERB
ejpam-7126	249	7	strength	strength	NOUN
ejpam-7126	249	8	data	datum	NOUN
ejpam-7126	249	9	reported	report	VERB
ejpam-7126	249	10	by	by	ADP
ejpam-7126	249	11	fuller	full	ADJ
ejpam-7126	249	12	et	et	PROPN
ejpam-7126	249	13	al	al	PROPN
ejpam-7126	249	14	.	.	PUNCT
ejpam-7126	250	1	[	[	X
ejpam-7126	250	2	28	28	NUM
ejpam-7126	250	3	]	]	PUNCT
ejpam-7126	250	4	of	of	ADP
ejpam-7126	250	5	glass	glass	NOUN
ejpam-7126	250	6	of	of	ADP
ejpam-7126	250	7	the	the	DET
ejpam-7126	250	8	aircraft	aircraft	NOUN
ejpam-7126	250	9	window	window	NOUN
ejpam-7126	250	10	table	table	NOUN
ejpam-7126	250	11	2	2	NUM
ejpam-7126	250	12	:	:	PUNCT
ejpam-7126	250	13	the	the	DET
ejpam-7126	250	14	orginal	orginal	ADJ
ejpam-7126	250	15	and	and	CCONJ
ejpam-7126	250	16	the	the	DET
ejpam-7126	250	17	corresponding	corresponding	ADJ
ejpam-7126	250	18	accelerated	accelerate	VERB
ejpam-7126	250	19	type	type	NOUN
ejpam-7126	250	20	-	-	PUNCT
ejpam-7126	250	21	i	i	PRON
ejpam-7126	250	22	ghc	ghc	NOUN
ejpam-7126	250	23	data	datum	NOUN
ejpam-7126	250	24	sets	set	VERB
ejpam-7126	250	25	fuller	full	ADJ
ejpam-7126	250	26	et	et	PROPN
ejpam-7126	250	27	al	al	PROPN
ejpam-7126	250	28	.	.	PUNCT
ejpam-7126	251	1	[	[	X
ejpam-7126	251	2	28	28	NUM
ejpam-7126	251	3	]	]	PUNCT
ejpam-7126	251	4	.	.	PUNCT
ejpam-7126	252	1	orginal	orginal	ADJ
ejpam-7126	252	2	18.83	18.83	NUM
ejpam-7126	252	3	20.800	20.800	NUM
ejpam-7126	252	4	21.657	21.657	NUM
ejpam-7126	252	5	23.030	23.030	NUM
ejpam-7126	252	6	23.230	23.230	NUM
ejpam-7126	252	7	24.050	24.050	NUM
ejpam-7126	252	8	24.321	24.321	NUM
ejpam-7126	252	9	25.500	25.500	NUM
ejpam-7126	252	10	25.520	25.520	NUM
ejpam-7126	252	11	data	datum	NOUN
ejpam-7126	252	12	25.800	25.800	NUM
ejpam-7126	252	13	26.69	26.69	NUM
ejpam-7126	252	14	26.770	26.770	NUM
ejpam-7126	252	15	26.780	26.780	NUM
ejpam-7126	252	16	27.050	27.050	NUM
ejpam-7126	252	17	27.670	27.670	NUM
ejpam-7126	252	18	29.900	29.900	NUM
ejpam-7126	252	19	31.110	31.110	NUM
ejpam-7126	252	20	33.200	33.200	NUM
ejpam-7126	252	21	33.730	33.730	NUM
ejpam-7126	252	22	33.760	33.760	NUM
ejpam-7126	252	23	33.890	33.890	NUM
ejpam-7126	252	24	34.760	34.760	NUM
ejpam-7126	252	25	35.750	35.750	NUM
ejpam-7126	252	26	35.910	35.910	NUM
ejpam-7126	252	27	36.980	36.980	NUM
ejpam-7126	252	28	37.080	37.080	NUM
ejpam-7126	252	29	37.090	37.090	NUM
ejpam-7126	252	30	39.580	39.580	NUM
ejpam-7126	252	31	44.045	44.045	NUM
ejpam-7126	252	32	45.290	45.290	NUM
ejpam-7126	252	33	45.381	45.381	NUM
ejpam-7126	252	34	accelerated	accelerate	VERB
ejpam-7126	252	35	18.830	18.830	NUM
ejpam-7126	252	36	20.800	20.800	NUM
ejpam-7126	252	37	21.657	21.657	NUM
ejpam-7126	252	38	23.030	23.030	NUM
ejpam-7126	252	39	23.230	23.230	NUM
ejpam-7126	252	40	24.050	24.050	NUM
ejpam-7126	252	41	24.321	24.321	NUM
ejpam-7126	252	42	25.500	25.500	NUM
ejpam-7126	252	43	25.520	25.520	NUM
ejpam-7126	252	44	type	type	NOUN
ejpam-7126	252	45	-	-	PUNCT
ejpam-7126	252	46	i	i	NOUN
ejpam-7126	252	47	ghc	ghc	NOUN
ejpam-7126	252	48	25.800	25.800	NUM
ejpam-7126	252	49	26.690	26.690	NUM
ejpam-7126	252	50	26.770	26.770	NUM
ejpam-7126	252	51	26.780	26.780	NUM
ejpam-7126	252	52	27.017	27.017	NUM
ejpam-7126	252	53	27.223	27.223	NUM
ejpam-7126	252	54	27.967	27.967	NUM
ejpam-7126	252	55	28.370	28.370	NUM
ejpam-7126	252	56	29.067	29.067	NUM
ejpam-7126	252	57	data	datum	NOUN
ejpam-7126	252	58	29.243	29.243	NUM
ejpam-7126	252	59	29.253	29.253	NUM
ejpam-7126	252	60	29.297	29.297	NUM
ejpam-7126	252	61	29.587	29.587	NUM
ejpam-7126	252	62	under	under	ADP
ejpam-7126	252	63	consideration	consideration	NOUN
ejpam-7126	252	64	,	,	PUNCT
ejpam-7126	252	65	the	the	DET
ejpam-7126	252	66	original	original	ADJ
ejpam-7126	252	67	data	datum	NOUN
ejpam-7126	252	68	of	of	ADP
ejpam-7126	252	69	size	size	NOUN
ejpam-7126	252	70	n	n	PROPN
ejpam-7126	252	71	=	=	NOUN
ejpam-7126	252	72	31	31	NUM
ejpam-7126	252	73	fuller	full	ADJ
ejpam-7126	252	74	et	et	PROPN
ejpam-7126	252	75	al	al	PROPN
ejpam-7126	252	76	.	.	PUNCT
ejpam-7126	253	1	[	[	X
ejpam-7126	253	2	28	28	NUM
ejpam-7126	253	3	]	]	PUNCT
ejpam-7126	253	4	,	,	PUNCT
ejpam-7126	253	5	suppose	suppose	VERB
ejpam-7126	253	6	m	m	VERB
ejpam-7126	253	7	=	=	NOUN
ejpam-7126	253	8	25	25	NUM
ejpam-7126	253	9	k	k	NOUN
ejpam-7126	253	10	=	=	NOUN
ejpam-7126	253	11	15	15	NUM
ejpam-7126	253	12	,	,	PUNCT
ejpam-7126	253	13	τ	τ	PROPN
ejpam-7126	253	14	=	=	NUM
ejpam-7126	253	15	35.0	35.0	NUM
ejpam-7126	253	16	and	and	CCONJ
ejpam-7126	253	17	the	the	DET
ejpam-7126	253	18	stress	stress	NOUN
ejpam-7126	253	19	change	change	NOUN
ejpam-7126	253	20	time	time	NOUN
ejpam-7126	253	21	η	η	PROPN
ejpam-7126	253	22	=	=	PROPN
ejpam-7126	253	23	27	27	NUM
ejpam-7126	253	24	,	,	PUNCT
ejpam-7126	253	25	the	the	DET
ejpam-7126	253	26	accelerated	accelerated	ADJ
ejpam-7126	253	27	type	type	NOUN
ejpam-7126	253	28	-	-	PUNCT
ejpam-7126	253	29	i	i	PRON
ejpam-7126	253	30	ghc	ghc	NOUN
ejpam-7126	253	31	data	datum	NOUN
ejpam-7126	253	32	can	can	AUX
ejpam-7126	253	33	be	be	AUX
ejpam-7126	253	34	obtained	obtain	VERB
ejpam-7126	253	35	from	from	ADP
ejpam-7126	253	36	the	the	DET
ejpam-7126	253	37	original	original	ADJ
ejpam-7126	253	38	data	datum	NOUN
ejpam-7126	253	39	in	in	ADP
ejpam-7126	253	40	table	table	NOUN
ejpam-7126	253	41	1	1	NUM
ejpam-7126	253	42	by	by	SCONJ
ejpam-7126	253	43	considered	consider	VERB
ejpam-7126	253	44	λ	λ	X
ejpam-7126	253	45	=	=	NOUN
ejpam-7126	253	46	3.0	3.0	NUM
ejpam-7126	253	47	.	.	PUNCT
ejpam-7126	254	1	from	from	ADP
ejpam-7126	254	2	accelerated	accelerate	VERB
ejpam-7126	254	3	type	type	NOUN
ejpam-7126	254	4	-	-	PUNCT
ejpam-7126	254	5	i	i	PRON
ejpam-7126	254	6	ghc	ghc	NOUN
ejpam-7126	254	7	data	data	VERB
ejpam-7126	254	8	the	the	DET
ejpam-7126	254	9	integer	integer	NOUN
ejpam-7126	254	10	numbers	number	NOUN
ejpam-7126	254	11	r	r	NOUN
ejpam-7126	254	12	=	=	NOUN
ejpam-7126	254	13	22	22	NUM
ejpam-7126	254	14	and	and	CCONJ
ejpam-7126	254	15	j	j	NOUN
ejpam-7126	255	1	=	=	NOUN
ejpam-7126	255	2	13	13	NUM
ejpam-7126	255	3	.	.	PUNCT
ejpam-7126	256	1	the	the	DET
ejpam-7126	256	2	prior	prior	ADJ
ejpam-7126	256	3	information	information	NOUN
ejpam-7126	256	4	about	about	ADP
ejpam-7126	256	5	i	i	PROPN
ejpam-7126	256	6	d	d	PROPN
ejpam-7126	256	7	parameter	parameter	NOUN
ejpam-7126	256	8	is	be	AUX
ejpam-7126	256	9	taken	take	VERB
ejpam-7126	256	10	to	to	PART
ejpam-7126	256	11	be	be	AUX
ejpam-7126	256	12	non	non	ADJ
ejpam-7126	256	13	-	-	ADJ
ejpam-7126	256	14	informative	informative	ADJ
ejpam-7126	256	15	prior	prior	ADV
ejpam-7126	256	16	.	.	PUNCT
ejpam-7126	257	1	with	with	ADP
ejpam-7126	257	2	respect	respect	NOUN
ejpam-7126	257	3	to	to	ADP
ejpam-7126	257	4	mcmc	mcmc	PROPN
ejpam-7126	257	5	method	method	PROPN
ejpam-7126	257	6	,	,	PUNCT
ejpam-7126	257	7	chen	chen	PROPN
ejpam-7126	257	8	iteration	iteration	PROPN
ejpam-7126	257	9	is	be	AUX
ejpam-7126	257	10	running	run	VERB
ejpam-7126	257	11	11000	11000	NUM
ejpam-7126	257	12	iterations	iteration	NOUN
ejpam-7126	257	13	and	and	CCONJ
ejpam-7126	257	14	delete	delete	VERB
ejpam-7126	257	15	the	the	DET
ejpam-7126	257	16	first	first	ADJ
ejpam-7126	257	17	1000	1000	NUM
ejpam-7126	257	18	iterations	iteration	NOUN
ejpam-7126	257	19	as	as	ADP
ejpam-7126	257	20	burn	burn	NOUN
ejpam-7126	257	21	-	-	PUNCT
ejpam-7126	257	22	in	in	ADP
ejpam-7126	257	23	.	.	PUNCT
ejpam-7126	258	1	figures	figure	NOUN
ejpam-7126	258	2	4	4	NUM
ejpam-7126	258	3	and	and	CCONJ
ejpam-7126	258	4	5	5	NUM
ejpam-7126	258	5	show	show	VERB
ejpam-7126	258	6	the	the	DET
ejpam-7126	258	7	empirical	empirical	ADJ
ejpam-7126	258	8	posterior	posterior	ADJ
ejpam-7126	258	9	distribution	distribution	NOUN
ejpam-7126	258	10	and	and	CCONJ
ejpam-7126	258	11	its	its	PRON
ejpam-7126	258	12	convergence	convergence	NOUN
ejpam-7126	258	13	under	under	ADP
ejpam-7126	258	14	the	the	DET
ejpam-7126	258	15	bayesian	bayesian	NOUN
ejpam-7126	258	16	approach	approach	NOUN
ejpam-7126	258	17	.	.	PUNCT
ejpam-7126	259	1	the	the	DET
ejpam-7126	259	2	point	point	NOUN
ejpam-7126	259	3	estimate	estimate	NOUN
ejpam-7126	259	4	of	of	ADP
ejpam-7126	259	5	the	the	DET
ejpam-7126	259	6	model	model	NOUN
ejpam-7126	259	7	parameters	parameter	NOUN
ejpam-7126	259	8	and	and	CCONJ
ejpam-7126	259	9	the	the	DET
ejpam-7126	259	10	parameters	parameter	NOUN
ejpam-7126	259	11	of	of	ADP
ejpam-7126	259	12	life	life	NOUN
ejpam-7126	259	13	when	when	SCONJ
ejpam-7126	259	14	t	t	PROPN
ejpam-7126	259	15	=	=	NOUN
ejpam-7126	259	16	1.5	1.5	NUM
ejpam-7126	259	17	are	be	AUX
ejpam-7126	259	18	reported	report	VERB
ejpam-7126	259	19	in	in	ADP
ejpam-7126	259	20	table	table	NOUN
ejpam-7126	259	21	3	3	NUM
ejpam-7126	259	22	.	.	PUNCT
ejpam-7126	260	1	the	the	DET
ejpam-7126	260	2	95	95	NUM
ejpam-7126	260	3	%	%	NOUN
ejpam-7126	260	4	interval	interval	NOUN
ejpam-7126	260	5	estimation	estimation	NOUN
ejpam-7126	260	6	of	of	ADP
ejpam-7126	260	7	the	the	DET
ejpam-7126	260	8	model	model	NOUN
ejpam-7126	260	9	parameters	parameter	NOUN
ejpam-7126	260	10	is	be	AUX
ejpam-7126	260	11	reported	report	VERB
ejpam-7126	260	12	in	in	ADP
ejpam-7126	260	13	table	table	NOUN
ejpam-7126	260	14	3	3	NUM
ejpam-7126	260	15	table	table	NOUN
ejpam-7126	260	16	3	3	NUM
ejpam-7126	260	17	:	:	PUNCT
ejpam-7126	260	18	the	the	DET
ejpam-7126	260	19	results	result	NOUN
ejpam-7126	260	20	of	of	ADP
ejpam-7126	260	21	point	point	NOUN
ejpam-7126	260	22	and	and	CCONJ
ejpam-7126	260	23	interval	interval	NOUN
ejpam-7126	260	24	estimate	estimate	NOUN
ejpam-7126	260	25	under	under	ADP
ejpam-7126	260	26	5	5	NUM
ejpam-7126	260	27	%	%	NOUN
ejpam-7126	260	28	confidence	confidence	NOUN
ejpam-7126	260	29	level	level	NOUN
ejpam-7126	260	30	.	.	PUNCT
ejpam-7126	261	1	pa	pa	PROPN
ejpam-7126	261	2	.	.	PUNCT
ejpam-7126	262	1	(	(	PUNCT
ejpam-7126	262	2	.)ml	.)ml	PUNCT
ejpam-7126	262	3	(	(	PUNCT
ejpam-7126	262	4	.)b	.)b	PROPN
ejpam-7126	262	5	-	-	PUNCT
ejpam-7126	262	6	mcmc	mcmc	NOUN
ejpam-7126	262	7	95	95	NUM
ejpam-7126	262	8	%	%	NOUN
ejpam-7126	262	9	aci	aci	NOUN
ejpam-7126	262	10	95	95	NUM
ejpam-7126	262	11	%	%	NOUN
ejpam-7126	262	12	pbci	pbci	NOUN
ejpam-7126	262	13	95	95	NUM
ejpam-7126	262	14	%	%	NOUN
ejpam-7126	262	15	btci	btci	NOUN
ejpam-7126	262	16	95	95	NUM
ejpam-7126	262	17	%	%	NOUN
ejpam-7126	262	18	ci	ci	NOUN
ejpam-7126	262	19	β	β	VERB
ejpam-7126	262	20	0.078268	0.078268	NUM
ejpam-7126	262	21	0.078090	0.078090	NUM
ejpam-7126	262	22	(	(	PUNCT
ejpam-7126	262	23	0.0575	0.0575	NUM
ejpam-7126	262	24	,	,	PUNCT
ejpam-7126	262	25	0.0990	0.0990	NUM
ejpam-7126	262	26	)	)	PUNCT
ejpam-7126	262	27	(	(	PUNCT
ejpam-7126	262	28	0.0488	0.0488	NUM
ejpam-7126	262	29	,	,	PUNCT
ejpam-7126	262	30	0.0997	0.0997	NUM
ejpam-7126	262	31	)	)	PUNCT
ejpam-7126	262	32	(	(	PUNCT
ejpam-7126	262	33	0.0542	0.0542	NUM
ejpam-7126	262	34	,	,	PUNCT
ejpam-7126	262	35	0.0991	0.0991	NUM
ejpam-7126	262	36	)	)	PUNCT
ejpam-7126	262	37	(	(	PUNCT
ejpam-7126	262	38	1.1596	1.1596	NUM
ejpam-7126	262	39	,	,	PUNCT
ejpam-7126	262	40	4.6482	4.6482	NUM
ejpam-7126	262	41	)	)	PUNCT
ejpam-7126	263	1	λ	λ	PROPN
ejpam-7126	263	2	2.524430	2.524430	NUM
ejpam-7126	263	3	2.599440	2.599440	NUM
ejpam-7126	263	4	(	(	PUNCT
ejpam-7126	263	5	0.7772	0.7772	NUM
ejpam-7126	263	6	,	,	PUNCT
ejpam-7126	263	7	4.2716	4.2716	NUM
ejpam-7126	263	8	)	)	PUNCT
ejpam-7126	263	9	(	(	PUNCT
ejpam-7126	263	10	0.6542	0.6542	NUM
ejpam-7126	263	11	,	,	PUNCT
ejpam-7126	263	12	4.2744	4.2744	NUM
ejpam-7126	263	13	)	)	PUNCT
ejpam-7126	263	14	(	(	PUNCT
ejpam-7126	263	15	0.7723	0.7723	NUM
ejpam-7126	263	16	,	,	PUNCT
ejpam-7126	263	17	4.2722	4.2722	NUM
ejpam-7126	263	18	)	)	PUNCT
ejpam-7126	263	19	(	(	PUNCT
ejpam-7126	263	20	1.1596	1.1596	NUM
ejpam-7126	263	21	,	,	PUNCT
ejpam-7126	263	22	4.6482	4.6482	NUM
ejpam-7126	263	23	)	)	PUNCT
ejpam-7126	263	24	s	s	PROPN
ejpam-7126	263	25	(	(	PUNCT
ejpam-7126	263	26	.	.	PUNCT
ejpam-7126	263	27	)	)	PUNCT
ejpam-7126	264	1	0.999726	0.999726	NUM
ejpam-7126	264	2	0.999712	0.999712	NUM
ejpam-7126	264	3	h	h	NOUN
ejpam-7126	264	4	(	(	PUNCT
ejpam-7126	264	5	.	.	PUNCT
ejpam-7126	264	6	)	)	PUNCT
ejpam-7126	265	1	0.000496	0.000496	NUM
ejpam-7126	265	2	0.000520	0.000520	NUM
ejpam-7126	265	3	s.	s.	PROPN
ejpam-7126	265	4	k.	k.	PROPN
ejpam-7126	265	5	badr	badr	PROPN
ejpam-7126	265	6	/	/	SYM
ejpam-7126	265	7	eur	eur	PROPN
ejpam-7126	265	8	.	.	PUNCT
ejpam-7126	266	1	j.	j.	PROPN
ejpam-7126	266	2	pure	pure	PROPN
ejpam-7126	266	3	appl	appl	PROPN
ejpam-7126	266	4	.	.	PROPN
ejpam-7126	266	5	math	math	PROPN
ejpam-7126	266	6	,	,	PUNCT
ejpam-7126	266	7	18	18	NUM
ejpam-7126	266	8	(	(	PUNCT
ejpam-7126	266	9	4	4	NUM
ejpam-7126	266	10	)	)	PUNCT
ejpam-7126	266	11	(	(	PUNCT
ejpam-7126	266	12	2025	2025	NUM
ejpam-7126	266	13	)	)	PUNCT
ejpam-7126	266	14	,	,	PUNCT
ejpam-7126	266	15	7126	7126	NUM
ejpam-7126	266	16	13	13	NUM
ejpam-7126	266	17	of	of	ADP
ejpam-7126	266	18	20	20	NUM
ejpam-7126	266	19	figure	figure	NOUN
ejpam-7126	266	20	4	4	NUM
ejpam-7126	266	21	:	:	PUNCT
ejpam-7126	266	22	simulation	simulation	NOUN
ejpam-7126	266	23	number	number	NOUN
ejpam-7126	266	24	and	and	CCONJ
ejpam-7126	266	25	histogram	histogram	NOUN
ejpam-7126	266	26	of	of	ADP
ejpam-7126	266	27	β	β	PROPN
ejpam-7126	266	28	and	and	CCONJ
ejpam-7126	266	29	λ	λ	PROPN
ejpam-7126	266	30	generated	generate	VERB
ejpam-7126	266	31	by	by	ADP
ejpam-7126	266	32	mcmc	mcmc	PROPN
ejpam-7126	266	33	method	method	PROPN
ejpam-7126	266	34	,	,	PUNCT
ejpam-7126	266	35	respectively	respectively	ADV
ejpam-7126	266	36	.	.	PUNCT
ejpam-7126	267	1	figure	figure	NOUN
ejpam-7126	267	2	5	5	NUM
ejpam-7126	267	3	:	:	PUNCT
ejpam-7126	267	4	simulation	simulation	NOUN
ejpam-7126	267	5	number	number	NOUN
ejpam-7126	267	6	and	and	CCONJ
ejpam-7126	267	7	histogram	histogram	NOUN
ejpam-7126	267	8	of	of	ADP
ejpam-7126	267	9	s	s	PRON
ejpam-7126	267	10	and	and	CCONJ
ejpam-7126	267	11	h	h	PROPN
ejpam-7126	267	12	generated	generate	VERB
ejpam-7126	267	13	by	by	ADP
ejpam-7126	267	14	mcmc	mcmc	PROPN
ejpam-7126	267	15	method	method	PROPN
ejpam-7126	267	16	,	,	PUNCT
ejpam-7126	267	17	respectively	respectively	ADV
ejpam-7126	267	18	.	.	PUNCT
ejpam-7126	267	19	example	example	NOUN
ejpam-7126	268	1	2	2	NUM
ejpam-7126	268	2	:	:	PUNCT
ejpam-7126	268	3	the	the	DET
ejpam-7126	268	4	second	second	ADJ
ejpam-7126	268	5	data	data	NOUN
ejpam-7126	268	6	is	be	AUX
ejpam-7126	268	7	the	the	DET
ejpam-7126	268	8	tensile	tensile	NOUN
ejpam-7126	268	9	strength	strength	NOUN
ejpam-7126	268	10	,	,	PUNCT
ejpam-7126	268	11	measured	measure	VERB
ejpam-7126	268	12	in	in	ADP
ejpam-7126	268	13	gpa	gpa	PROPN
ejpam-7126	268	14	,	,	PUNCT
ejpam-7126	268	15	of	of	ADP
ejpam-7126	268	16	69	69	NUM
ejpam-7126	268	17	carbon	carbon	NOUN
ejpam-7126	268	18	fibers	fiber	NOUN
ejpam-7126	268	19	represent	represent	AUX
ejpam-7126	268	20	tested	test	VERB
ejpam-7126	268	21	under	under	ADP
ejpam-7126	268	22	tension	tension	NOUN
ejpam-7126	268	23	at	at	ADP
ejpam-7126	268	24	gauge	gauge	ADJ
ejpam-7126	268	25	lengths	length	NOUN
ejpam-7126	268	26	of	of	ADP
ejpam-7126	268	27	20	20	NUM
ejpam-7126	268	28	mm	mm	NOUN
ejpam-7126	268	29	,	,	PUNCT
ejpam-7126	268	30	bader	bader	NOUN
ejpam-7126	268	31	and	and	CCONJ
ejpam-7126	268	32	priest	priest	NOUN
ejpam-7126	268	33	[	[	X
ejpam-7126	268	34	29	29	NUM
ejpam-7126	268	35	]	]	PUNCT
ejpam-7126	268	36	the	the	DET
ejpam-7126	268	37	original	original	ADJ
ejpam-7126	268	38	bader	bader	NOUN
ejpam-7126	268	39	and	and	CCONJ
ejpam-7126	268	40	priest	priest	NOUN
ejpam-7126	268	41	[	[	X
ejpam-7126	268	42	29	29	NUM
ejpam-7126	268	43	]	]	X
ejpam-7126	268	44	data	datum	NOUN
ejpam-7126	268	45	of	of	ADP
ejpam-7126	268	46	size	size	NOUN
ejpam-7126	268	47	n	n	PROPN
ejpam-7126	268	48	=	=	NOUN
ejpam-7126	268	49	69	69	NUM
ejpam-7126	268	50	,	,	PUNCT
ejpam-7126	268	51	suppose	suppose	VERB
ejpam-7126	268	52	m	m	VERB
ejpam-7126	268	53	=	=	NOUN
ejpam-7126	268	54	50	50	NUM
ejpam-7126	268	55	k	k	NOUN
ejpam-7126	268	56	=	=	NOUN
ejpam-7126	268	57	25	25	NUM
ejpam-7126	268	58	,	,	PUNCT
ejpam-7126	268	59	τ	τ	PROPN
ejpam-7126	268	60	=	=	SYM
ejpam-7126	268	61	2.0	2.0	NUM
ejpam-7126	268	62	and	and	CCONJ
ejpam-7126	268	63	the	the	DET
ejpam-7126	268	64	stress	stress	NOUN
ejpam-7126	268	65	change	change	NOUN
ejpam-7126	268	66	time	time	NOUN
ejpam-7126	268	67	η	η	PROPN
ejpam-7126	268	68	=	=	PROPN
ejpam-7126	268	69	1.0	1.0	NUM
ejpam-7126	268	70	,	,	PUNCT
ejpam-7126	268	71	the	the	DET
ejpam-7126	268	72	accelerated	accelerated	ADJ
ejpam-7126	268	73	type	type	NOUN
ejpam-7126	268	74	-	-	PUNCT
ejpam-7126	268	75	i	i	PRON
ejpam-7126	268	76	ghc	ghc	NOUN
ejpam-7126	268	77	data	datum	NOUN
ejpam-7126	268	78	can	can	AUX
ejpam-7126	268	79	be	be	AUX
ejpam-7126	268	80	obtained	obtain	VERB
ejpam-7126	268	81	from	from	ADP
ejpam-7126	268	82	the	the	DET
ejpam-7126	268	83	original	original	ADJ
ejpam-7126	268	84	data	datum	NOUN
ejpam-7126	268	85	in	in	ADP
ejpam-7126	268	86	table	table	NOUN
ejpam-7126	268	87	2	2	NUM
ejpam-7126	268	88	by	by	ADP
ejpam-7126	268	89	considered	consider	VERB
ejpam-7126	268	90	λ	λ	X
ejpam-7126	268	91	=	=	NOUN
ejpam-7126	268	92	3.0	3.0	NUM
ejpam-7126	268	93	.	.	PUNCT
ejpam-7126	269	1	the	the	DET
ejpam-7126	269	2	integer	integer	NOUN
ejpam-7126	269	3	numbers	number	NOUN
ejpam-7126	269	4	r	r	NOUN
ejpam-7126	269	5	=	=	NOUN
ejpam-7126	269	6	25	25	NUM
ejpam-7126	269	7	and	and	CCONJ
ejpam-7126	269	8	j	j	X
ejpam-7126	269	9	=	=	NOUN
ejpam-7126	269	10	0	0	PROPN
ejpam-7126	269	11	from	from	ADP
ejpam-7126	269	12	accelerated	accelerate	VERB
ejpam-7126	269	13	type	type	NOUN
ejpam-7126	269	14	-	-	PUNCT
ejpam-7126	269	15	i	i	PRON
ejpam-7126	269	16	ghc	ghc	NOUN
ejpam-7126	269	17	data	datum	NOUN
ejpam-7126	269	18	.	.	PUNCT
ejpam-7126	270	1	with	with	ADP
ejpam-7126	270	2	11000	11000	NUM
ejpam-7126	270	3	iterations	iteration	NOUN
ejpam-7126	270	4	and	and	CCONJ
ejpam-7126	270	5	delete	delete	VERB
ejpam-7126	270	6	the	the	DET
ejpam-7126	270	7	first	first	ADJ
ejpam-7126	270	8	1000	1000	NUM
ejpam-7126	270	9	iterations	iteration	NOUN
ejpam-7126	270	10	as	as	SCONJ
ejpam-7126	270	11	burn	burn	NOUN
ejpam-7126	270	12	-	-	PUNCT
ejpam-7126	270	13	in	in	ADP
ejpam-7126	270	14	mcmc	mcmc	PROPN
ejpam-7126	270	15	method	method	NOUN
ejpam-7126	270	16	is	be	AUX
ejpam-7126	270	17	running	run	VERB
ejpam-7126	270	18	.	.	PUNCT
ejpam-7126	271	1	figure	figure	NOUN
ejpam-7126	271	2	6	6	NUM
ejpam-7126	271	3	and	and	CCONJ
ejpam-7126	271	4	7	7	NUM
ejpam-7126	271	5	show	show	VERB
ejpam-7126	271	6	the	the	DET
ejpam-7126	271	7	empirical	empirical	ADJ
ejpam-7126	271	8	posterior	posterior	ADJ
ejpam-7126	271	9	distribution	distribution	NOUN
ejpam-7126	271	10	and	and	CCONJ
ejpam-7126	271	11	its	its	PRON
ejpam-7126	271	12	convergence	convergence	NOUN
ejpam-7126	271	13	under	under	ADP
ejpam-7126	271	14	bayesian	bayesian	NOUN
ejpam-7126	271	15	approach	approach	NOUN
ejpam-7126	271	16	.	.	PUNCT
ejpam-7126	272	1	the	the	DET
ejpam-7126	272	2	point	point	NOUN
ejpam-7126	272	3	estimate	estimate	NOUN
ejpam-7126	272	4	of	of	ADP
ejpam-7126	272	5	the	the	DET
ejpam-7126	272	6	model	model	NOUN
ejpam-7126	272	7	parameters	parameter	NOUN
ejpam-7126	272	8	and	and	CCONJ
ejpam-7126	272	9	the	the	DET
ejpam-7126	272	10	parameters	parameter	NOUN
ejpam-7126	272	11	of	of	ADP
ejpam-7126	272	12	life	life	NOUN
ejpam-7126	272	13	when	when	SCONJ
ejpam-7126	272	14	t	t	PROPN
ejpam-7126	272	15	=	=	NOUN
ejpam-7126	272	16	1.5	1.5	NUM
ejpam-7126	272	17	are	be	AUX
ejpam-7126	272	18	reported	report	VERB
ejpam-7126	272	19	in	in	ADP
ejpam-7126	272	20	table	table	NOUN
ejpam-7126	272	21	5	5	NUM
ejpam-7126	272	22	.	.	PUNCT
ejpam-7126	273	1	the	the	DET
ejpam-7126	273	2	95	95	NUM
ejpam-7126	273	3	%	%	NOUN
ejpam-7126	273	4	interval	interval	NOUN
ejpam-7126	273	5	estimation	estimation	NOUN
ejpam-7126	273	6	of	of	ADP
ejpam-7126	273	7	the	the	DET
ejpam-7126	273	8	model	model	NOUN
ejpam-7126	273	9	parameters	parameter	NOUN
ejpam-7126	273	10	is	be	AUX
ejpam-7126	273	11	reported	report	VERB
ejpam-7126	273	12	in	in	ADP
ejpam-7126	273	13	table	table	NOUN
ejpam-7126	273	14	5	5	NUM
ejpam-7126	273	15	.	.	X
ejpam-7126	274	1	5.2	5.2	NUM
ejpam-7126	274	2	.	.	PUNCT
ejpam-7126	275	1	simulation	simulation	NOUN
ejpam-7126	275	2	study	study	NOUN
ejpam-7126	275	3	in	in	ADP
ejpam-7126	275	4	this	this	DET
ejpam-7126	275	5	section	section	NOUN
ejpam-7126	275	6	,	,	PUNCT
ejpam-7126	275	7	the	the	DET
ejpam-7126	275	8	developed	develop	VERB
ejpam-7126	275	9	estimation	estimation	NOUN
ejpam-7126	275	10	results	result	NOUN
ejpam-7126	275	11	are	be	AUX
ejpam-7126	275	12	discussed	discuss	VERB
ejpam-7126	275	13	through	through	ADP
ejpam-7126	275	14	a	a	DET
ejpam-7126	275	15	monte	monte	PROPN
ejpam-7126	275	16	carlo	carlo	PROPN
ejpam-7126	275	17	simulation	simulation	PROPN
ejpam-7126	275	18	study	study	NOUN
ejpam-7126	275	19	to	to	PART
ejpam-7126	275	20	assess	assess	VERB
ejpam-7126	275	21	and	and	CCONJ
ejpam-7126	275	22	compare	compare	VERB
ejpam-7126	275	23	the	the	DET
ejpam-7126	275	24	results	result	NOUN
ejpam-7126	275	25	.	.	PUNCT
ejpam-7126	276	1	through	through	ADP
ejpam-7126	276	2	this	this	DET
ejpam-7126	276	3	study	study	NOUN
ejpam-7126	276	4	,	,	PUNCT
ejpam-7126	276	5	we	we	PRON
ejpam-7126	276	6	discuss	discuss	VERB
ejpam-7126	276	7	the	the	DET
ejpam-7126	276	8	effect	effect	NOUN
ejpam-7126	276	9	of	of	ADP
ejpam-7126	276	10	changing	change	VERB
ejpam-7126	276	11	the	the	DET
ejpam-7126	276	12	ideal	ideal	ADJ
ejpam-7126	276	13	test	test	NOUN
ejpam-7126	276	14	time	time	NOUN
ejpam-7126	276	15	and	and	CCONJ
ejpam-7126	276	16	the	the	DET
ejpam-7126	276	17	stress	stress	NOUN
ejpam-7126	276	18	change	change	NOUN
ejpam-7126	276	19	time	time	NOUN
ejpam-7126	276	20	.	.	PUNCT
ejpam-7126	277	1	also	also	ADV
ejpam-7126	277	2	,	,	PUNCT
ejpam-7126	277	3	we	we	PRON
ejpam-7126	277	4	test	test	VERB
ejpam-7126	277	5	the	the	DET
ejpam-7126	277	6	results	result	NOUN
ejpam-7126	277	7	for	for	ADP
ejpam-7126	277	8	the	the	DET
ejpam-7126	277	9	change	change	NOUN
ejpam-7126	277	10	in	in	ADP
ejpam-7126	277	11	the	the	DET
ejpam-7126	277	12	values	value	NOUN
ejpam-7126	277	13	of	of	ADP
ejpam-7126	277	14	the	the	DET
ejpam-7126	277	15	parameters	parameter	NOUN
ejpam-7126	277	16	and	and	CCONJ
ejpam-7126	277	17	sample	sample	NOUN
ejpam-7126	277	18	sizes	size	NOUN
ejpam-7126	277	19	.	.	PUNCT
ejpam-7126	278	1	for	for	ADP
ejpam-7126	278	2	the	the	DET
ejpam-7126	278	3	point	point	NOUN
ejpam-7126	278	4	estimate	estimate	NOUN
ejpam-7126	278	5	,	,	PUNCT
ejpam-7126	278	6	check	check	VERB
ejpam-7126	278	7	the	the	DET
ejpam-7126	278	8	ml	ml	ADJ
ejpam-7126	278	9	estimate	estimate	NOUN
ejpam-7126	278	10	with	with	ADP
ejpam-7126	278	11	the	the	DET
ejpam-7126	278	12	bayes	bayes	PROPN
ejpam-7126	278	13	estimate	estimate	NOUN
ejpam-7126	278	14	for	for	ADP
ejpam-7126	278	15	different	different	ADJ
ejpam-7126	278	16	prior	prior	ADJ
ejpam-7126	278	17	information	information	NOUN
ejpam-7126	278	18	.	.	PUNCT
ejpam-7126	279	1	in	in	ADP
ejpam-7126	279	2	cases	case	NOUN
ejpam-7126	279	3	of	of	ADP
ejpam-7126	279	4	interval	interval	NOUN
ejpam-7126	279	5	estimation	estimation	NOUN
ejpam-7126	279	6	,	,	PUNCT
ejpam-7126	279	7	compare	compare	VERB
ejpam-7126	279	8	the	the	DET
ejpam-7126	279	9	approximate	approximate	ADJ
ejpam-7126	279	10	confidence	confidence	NOUN
ejpam-7126	279	11	intervals	interval	NOUN
ejpam-7126	279	12	,	,	PUNCT
ejpam-7126	279	13	the	the	DET
ejpam-7126	279	14	bootstrap	bootstrap	NOUN
ejpam-7126	279	15	confidence	confidence	NOUN
ejpam-7126	280	1	s.	s.	PROPN
ejpam-7126	280	2	k.	k.	PROPN
ejpam-7126	281	1	badr	badr	PROPN
ejpam-7126	281	2	/	/	SYM
ejpam-7126	281	3	eur	eur	PROPN
ejpam-7126	281	4	.	.	PUNCT
ejpam-7126	282	1	j.	j.	PROPN
ejpam-7126	282	2	pure	pure	PROPN
ejpam-7126	282	3	appl	appl	PROPN
ejpam-7126	282	4	.	.	PROPN
ejpam-7126	282	5	math	math	PROPN
ejpam-7126	282	6	,	,	PUNCT
ejpam-7126	282	7	18	18	NUM
ejpam-7126	282	8	(	(	PUNCT
ejpam-7126	282	9	4	4	NUM
ejpam-7126	282	10	)	)	PUNCT
ejpam-7126	282	11	(	(	PUNCT
ejpam-7126	282	12	2025	2025	NUM
ejpam-7126	282	13	)	)	PUNCT
ejpam-7126	282	14	,	,	PUNCT
ejpam-7126	282	15	7126	7126	NUM
ejpam-7126	282	16	14	14	NUM
ejpam-7126	282	17	of	of	ADP
ejpam-7126	282	18	20	20	NUM
ejpam-7126	282	19	table	table	NOUN
ejpam-7126	282	20	4	4	NUM
ejpam-7126	282	21	:	:	PUNCT
ejpam-7126	282	22	the	the	DET
ejpam-7126	282	23	orginal	orginal	ADJ
ejpam-7126	282	24	and	and	CCONJ
ejpam-7126	282	25	the	the	DET
ejpam-7126	282	26	corresponding	corresponding	ADJ
ejpam-7126	282	27	accelerated	accelerate	VERB
ejpam-7126	282	28	type	type	NOUN
ejpam-7126	282	29	-	-	PUNCT
ejpam-7126	282	30	i	i	PRON
ejpam-7126	282	31	ghc	ghc	NOUN
ejpam-7126	282	32	data	datum	NOUN
ejpam-7126	282	33	sets	set	VERB
ejpam-7126	282	34	bader	bader	NOUN
ejpam-7126	282	35	and	and	CCONJ
ejpam-7126	282	36	priest	priest	NOUN
ejpam-7126	282	37	[	[	X
ejpam-7126	282	38	28	28	NUM
ejpam-7126	282	39	]	]	PUNCT
ejpam-7126	282	40	.	.	PUNCT
ejpam-7126	283	1	orginal	orginal	ADJ
ejpam-7126	283	2	1.312	1.312	NUM
ejpam-7126	283	3	1.314	1.314	NUM
ejpam-7126	283	4	1.479	1.479	NUM
ejpam-7126	283	5	1.552	1.552	NUM
ejpam-7126	283	6	1.700	1.700	NUM
ejpam-7126	283	7	1.803	1.803	NUM
ejpam-7126	283	8	1.861	1.861	NUM
ejpam-7126	283	9	1.865	1.865	NUM
ejpam-7126	283	10	1.944	1.944	NUM
ejpam-7126	283	11	1.958	1.958	NUM
ejpam-7126	283	12	data	datum	NOUN
ejpam-7126	283	13	1.966	1.966	NUM
ejpam-7126	283	14	1.997	1.997	NUM
ejpam-7126	283	15	2.006	2.006	NUM
ejpam-7126	283	16	2.021	2.021	NUM
ejpam-7126	283	17	2.027	2.027	NUM
ejpam-7126	283	18	2.055	2.055	NUM
ejpam-7126	283	19	2.063	2.063	NUM
ejpam-7126	283	20	2.098	2.098	NUM
ejpam-7126	283	21	2.140	2.140	NUM
ejpam-7126	283	22	2.179	2.179	NUM
ejpam-7126	283	23	2.224	2.224	NUM
ejpam-7126	283	24	2.240	2.240	NUM
ejpam-7126	283	25	2.253	2.253	NUM
ejpam-7126	283	26	2.270	2.270	NUM
ejpam-7126	283	27	2.272	2.272	NUM
ejpam-7126	283	28	2.274	2.274	NUM
ejpam-7126	283	29	2.301	2.301	NUM
ejpam-7126	283	30	2.301	2.301	NUM
ejpam-7126	283	31	2.359	2.359	NUM
ejpam-7126	283	32	2.382	2.382	NUM
ejpam-7126	283	33	2.382	2.382	NUM
ejpam-7126	283	34	2.426	2.426	NUM
ejpam-7126	283	35	2.434	2.434	NUM
ejpam-7126	283	36	2.435	2.435	NUM
ejpam-7126	283	37	2.478	2.478	NUM
ejpam-7126	283	38	2.490	2.490	NUM
ejpam-7126	283	39	2.511	2.511	NUM
ejpam-7126	283	40	2.514	2.514	NUM
ejpam-7126	283	41	2.535	2.535	NUM
ejpam-7126	283	42	2.554	2.554	NUM
ejpam-7126	283	43	2.566	2.566	NUM
ejpam-7126	283	44	2.570	2.570	NUM
ejpam-7126	283	45	2.586	2.586	NUM
ejpam-7126	283	46	2.629	2.629	NUM
ejpam-7126	283	47	2.633	2.633	NUM
ejpam-7126	283	48	2.642	2.642	NUM
ejpam-7126	283	49	2.648	2.648	NUM
ejpam-7126	283	50	2.684	2.684	NUM
ejpam-7126	283	51	2.697	2.697	NUM
ejpam-7126	283	52	2.726	2.726	NUM
ejpam-7126	283	53	2.770	2.770	NUM
ejpam-7126	283	54	2.773	2.773	NUM
ejpam-7126	283	55	2.800	2.800	NUM
ejpam-7126	283	56	2.809	2.809	NUM
ejpam-7126	283	57	2.818	2.818	NUM
ejpam-7126	283	58	2.821	2.821	NUM
ejpam-7126	283	59	2.848	2.848	NUM
ejpam-7126	283	60	2.880	2.880	NUM
ejpam-7126	283	61	2.954	2.954	NUM
ejpam-7126	283	62	3.012	3.012	NUM
ejpam-7126	283	63	3.067	3.067	NUM
ejpam-7126	283	64	3.084	3.084	NUM
ejpam-7126	283	65	3.090	3.090	NUM
ejpam-7126	283	66	3.096	3.096	NUM
ejpam-7126	283	67	3.128	3.128	NUM
ejpam-7126	283	68	3.233	3.233	NUM
ejpam-7126	283	69	3.433	3.433	NUM
ejpam-7126	283	70	3.585	3.585	NUM
ejpam-7126	283	71	3.585	3.585	NUM
ejpam-7126	283	72	accelerated	accelerate	VERB
ejpam-7126	283	73	1.104	1.104	NUM
ejpam-7126	283	74	1.105	1.105	NUM
ejpam-7126	283	75	1.160	1.160	NUM
ejpam-7126	283	76	1.184	1.184	NUM
ejpam-7126	283	77	1.233	1.233	NUM
ejpam-7126	283	78	1.268	1.268	NUM
ejpam-7126	283	79	1.287	1.287	NUM
ejpam-7126	283	80	1.288	1.288	NUM
ejpam-7126	283	81	1.315	1.315	NUM
ejpam-7126	283	82	1.319	1.319	NUM
ejpam-7126	283	83	type	type	NOUN
ejpam-7126	283	84	-	-	PUNCT
ejpam-7126	283	85	i	i	NOUN
ejpam-7126	283	86	ghc	ghc	VERB
ejpam-7126	283	87	1.322	1.322	NUM
ejpam-7126	283	88	1.332	1.332	NUM
ejpam-7126	283	89	1.335	1.335	NUM
ejpam-7126	283	90	1.340	1.340	NUM
ejpam-7126	283	91	1.342	1.342	NUM
ejpam-7126	283	92	1.352	1.352	NUM
ejpam-7126	283	93	1.354	1.354	NUM
ejpam-7126	283	94	1.366	1.366	NUM
ejpam-7126	283	95	1.380	1.380	NUM
ejpam-7126	283	96	1.393	1.393	NUM
ejpam-7126	283	97	data	datum	NOUN
ejpam-7126	283	98	1.408	1.408	NUM
ejpam-7126	283	99	1.413	1.413	NUM
ejpam-7126	283	100	1.418	1.418	NUM
ejpam-7126	283	101	1.423	1.423	NUM
ejpam-7126	283	102	1.424	1.424	NUM
ejpam-7126	283	103	figure	figure	NOUN
ejpam-7126	283	104	6	6	NUM
ejpam-7126	283	105	:	:	PUNCT
ejpam-7126	283	106	simulation	simulation	NOUN
ejpam-7126	283	107	number	number	NOUN
ejpam-7126	283	108	and	and	CCONJ
ejpam-7126	283	109	histogram	histogram	NOUN
ejpam-7126	283	110	of	of	ADP
ejpam-7126	283	111	β	β	PROPN
ejpam-7126	283	112	and	and	CCONJ
ejpam-7126	283	113	λ	λ	PROPN
ejpam-7126	283	114	generated	generate	VERB
ejpam-7126	283	115	by	by	ADP
ejpam-7126	283	116	mcmc	mcmc	PROPN
ejpam-7126	283	117	method	method	PROPN
ejpam-7126	283	118	,	,	PUNCT
ejpam-7126	283	119	respectively	respectively	ADV
ejpam-7126	283	120	.	.	PUNCT
ejpam-7126	284	1	interval	interval	NOUN
ejpam-7126	284	2	,	,	PUNCT
ejpam-7126	284	3	and	and	CCONJ
ejpam-7126	284	4	the	the	DET
ejpam-7126	284	5	bayesian	bayesian	NOUN
ejpam-7126	284	6	credible	credible	ADJ
ejpam-7126	284	7	intervals	interval	NOUN
ejpam-7126	284	8	.	.	PUNCT
ejpam-7126	285	1	the	the	DET
ejpam-7126	285	2	simulation	simulation	NOUN
ejpam-7126	285	3	results	result	NOUN
ejpam-7126	285	4	were	be	AUX
ejpam-7126	285	5	formulated	formulate	VERB
ejpam-7126	285	6	for	for	ADP
ejpam-7126	285	7	1000	1000	NUM
ejpam-7126	285	8	different	different	ADJ
ejpam-7126	285	9	samples	sample	NOUN
ejpam-7126	285	10	generated	generate	VERB
ejpam-7126	285	11	from	from	ADP
ejpam-7126	285	12	the	the	DET
ejpam-7126	285	13	proposed	propose	VERB
ejpam-7126	285	14	model	model	NOUN
ejpam-7126	285	15	.	.	PUNCT
ejpam-7126	286	1	the	the	DET
ejpam-7126	286	2	point	point	NOUN
ejpam-7126	286	3	estimate	estimate	NOUN
ejpam-7126	286	4	is	be	AUX
ejpam-7126	286	5	tested	test	VERB
ejpam-7126	286	6	under	under	ADP
ejpam-7126	286	7	the	the	DET
ejpam-7126	286	8	mean	mean	ADJ
ejpam-7126	286	9	estimate	estimate	NOUN
ejpam-7126	286	10	(	(	PUNCT
ejpam-7126	286	11	me	i	PRON
ejpam-7126	286	12	)	)	PUNCT
ejpam-7126	286	13	and	and	CCONJ
ejpam-7126	286	14	mean	mean	VERB
ejpam-7126	286	15	squared	square	VERB
ejpam-7126	286	16	error	error	NOUN
ejpam-7126	286	17	(	(	PUNCT
ejpam-7126	286	18	mse	mse	NOUN
ejpam-7126	286	19	)	)	PUNCT
ejpam-7126	286	20	.	.	PUNCT
ejpam-7126	287	1	in	in	ADP
ejpam-7126	287	2	an	an	DET
ejpam-7126	287	3	interval	interval	NOUN
ejpam-7126	287	4	estimate	estimate	NOUN
ejpam-7126	287	5	,	,	PUNCT
ejpam-7126	287	6	we	we	PRON
ejpam-7126	287	7	compute	compute	VERB
ejpam-7126	287	8	the	the	DET
ejpam-7126	287	9	mean	mean	ADJ
ejpam-7126	287	10	interval	interval	NOUN
ejpam-7126	287	11	length	length	NOUN
ejpam-7126	287	12	(	(	PUNCT
ejpam-7126	287	13	mil	mil	NOUN
ejpam-7126	287	14	)	)	PUNCT
ejpam-7126	287	15	and	and	CCONJ
ejpam-7126	287	16	coverage	coverage	NOUN
ejpam-7126	287	17	percentage	percentage	NOUN
ejpam-7126	287	18	(	(	PUNCT
ejpam-7126	287	19	cp	cp	NOUN
ejpam-7126	287	20	)	)	PUNCT
ejpam-7126	287	21	.	.	PUNCT
ejpam-7126	288	1	the	the	DET
ejpam-7126	288	2	following	follow	VERB
ejpam-7126	288	3	algorithms	algorithm	NOUN
ejpam-7126	288	4	describe	describe	VERB
ejpam-7126	288	5	what	what	PRON
ejpam-7126	288	6	happens	happen	VERB
ejpam-7126	288	7	in	in	ADP
ejpam-7126	288	8	the	the	DET
ejpam-7126	288	9	simulation	simulation	NOUN
ejpam-7126	288	10	results	result	VERB
ejpam-7126	288	11	algorithm	algorithm	NOUN
ejpam-7126	288	12	3	3	NUM
ejpam-7126	288	13	:	:	PUNCT
ejpam-7126	288	14	(	(	PUNCT
ejpam-7126	288	15	monte	monte	PROPN
ejpam-7126	288	16	carlo	carlo	PROPN
ejpam-7126	288	17	simulation	simulation	PROPN
ejpam-7126	288	18	studying	study	VERB
ejpam-7126	288	19	)	)	PUNCT
ejpam-7126	288	20	step	step	NOUN
ejpam-7126	288	21	1	1	NUM
ejpam-7126	288	22	:	:	PUNCT
ejpam-7126	288	23	from	from	ADP
ejpam-7126	288	24	i	i	PROPN
ejpam-7126	288	25	d	d	PROPN
ejpam-7126	288	26	with	with	ADP
ejpam-7126	288	27	parameter	parameter	PROPN
ejpam-7126	288	28	β	β	AUX
ejpam-7126	288	29	generate	generate	VERB
ejpam-7126	288	30	a	a	DET
ejpam-7126	288	31	random	random	ADJ
ejpam-7126	288	32	sample	sample	NOUN
ejpam-7126	288	33	of	of	ADP
ejpam-7126	288	34	size	size	NOUN
ejpam-7126	288	35	n	n	X
ejpam-7126	288	36	.	.	PUNCT
ejpam-7126	289	1	step	step	NOUN
ejpam-7126	289	2	2	2	NUM
ejpam-7126	289	3	:	:	PUNCT
ejpam-7126	289	4	the	the	DET
ejpam-7126	289	5	generate	generate	NOUN
ejpam-7126	289	6	type	type	NOUN
ejpam-7126	289	7	-	-	PUNCT
ejpam-7126	289	8	i	i	PRON
ejpam-7126	289	9	ghc	ghc	NOUN
ejpam-7126	289	10	data	datum	NOUN
ejpam-7126	289	11	is	be	AUX
ejpam-7126	289	12	reported	report	VERB
ejpam-7126	289	13	respected	respect	VERB
ejpam-7126	289	14	to	to	ADP
ejpam-7126	289	15	k	k	PROPN
ejpam-7126	289	16	,	,	PUNCT
ejpam-7126	289	17	m	m	PROPN
ejpam-7126	289	18	and	and	CCONJ
ejpam-7126	289	19	τ	τ	PROPN
ejpam-7126	289	20	.	.	PUNCT
ejpam-7126	290	1	step	step	NOUN
ejpam-7126	290	2	3	3	NUM
ejpam-7126	290	3	:	:	PUNCT
ejpam-7126	290	4	transform	transform	VERB
ejpam-7126	290	5	the	the	DET
ejpam-7126	290	6	type	type	NOUN
ejpam-7126	290	7	-	-	PUNCT
ejpam-7126	290	8	i	i	PRON
ejpam-7126	290	9	ghc	ghc	NOUN
ejpam-7126	290	10	data	datum	NOUN
ejpam-7126	290	11	to	to	PART
ejpam-7126	290	12	accelerated	accelerate	VERB
ejpam-7126	290	13	type	type	NOUN
ejpam-7126	290	14	-	-	PUNCT
ejpam-7126	290	15	i	i	PRON
ejpam-7126	290	16	ghc	ghc	NOUN
ejpam-7126	290	17	data	datum	NOUN
ejpam-7126	290	18	based	base	VERB
ejpam-7126	290	19	on	on	ADP
ejpam-7126	290	20	transfortable	transfortable	ADJ
ejpam-7126	290	21	5	5	NUM
ejpam-7126	290	22	:	:	PUNCT
ejpam-7126	290	23	the	the	DET
ejpam-7126	290	24	results	result	NOUN
ejpam-7126	290	25	of	of	ADP
ejpam-7126	290	26	point	point	NOUN
ejpam-7126	290	27	and	and	CCONJ
ejpam-7126	290	28	interval	interval	NOUN
ejpam-7126	290	29	estimate	estimate	NOUN
ejpam-7126	290	30	under	under	ADP
ejpam-7126	290	31	5	5	NUM
ejpam-7126	290	32	%	%	NOUN
ejpam-7126	290	33	confidence	confidence	NOUN
ejpam-7126	290	34	level	level	NOUN
ejpam-7126	290	35	.	.	PUNCT
ejpam-7126	291	1	pa	pa	PROPN
ejpam-7126	291	2	.	.	PUNCT
ejpam-7126	292	1	(	(	PUNCT
ejpam-7126	292	2	.)ml	.)ml	PUNCT
ejpam-7126	292	3	(	(	PUNCT
ejpam-7126	292	4	.)b	.)b	PROPN
ejpam-7126	292	5	-	-	PUNCT
ejpam-7126	292	6	mcmc	mcmc	NOUN
ejpam-7126	292	7	95	95	NUM
ejpam-7126	292	8	%	%	NOUN
ejpam-7126	292	9	aci	aci	NOUN
ejpam-7126	292	10	95	95	NUM
ejpam-7126	292	11	%	%	NOUN
ejpam-7126	292	12	pbci	pbci	NOUN
ejpam-7126	292	13	95	95	NUM
ejpam-7126	292	14	%	%	NOUN
ejpam-7126	292	15	btci	btci	NOUN
ejpam-7126	292	16	95	95	NUM
ejpam-7126	292	17	%	%	NOUN
ejpam-7126	292	18	ci	ci	NOUN
ejpam-7126	292	19	β	β	VERB
ejpam-7126	292	20	0.51064	0.51064	NUM
ejpam-7126	292	21	0.49666	0.49666	NUM
ejpam-7126	292	22	(	(	PUNCT
ejpam-7126	292	23	0.3178	0.3178	NUM
ejpam-7126	292	24	,	,	PUNCT
ejpam-7126	292	25	0.7035	0.7035	NUM
ejpam-7126	292	26	)	)	PUNCT
ejpam-7126	292	27	(	(	PUNCT
ejpam-7126	292	28	0.3001	0.3001	NUM
ejpam-7126	292	29	,	,	PUNCT
ejpam-7126	292	30	0.7457	0.7457	NUM
ejpam-7126	292	31	)	)	PUNCT
ejpam-7126	292	32	(	(	PUNCT
ejpam-7126	292	33	0.3124	0.3124	NUM
ejpam-7126	292	34	,	,	PUNCT
ejpam-7126	292	35	0.7011	0.7011	NUM
ejpam-7126	292	36	)	)	PUNCT
ejpam-7126	292	37	(	(	PUNCT
ejpam-7126	292	38	1.5527	1.5527	NUM
ejpam-7126	292	39	,	,	PUNCT
ejpam-7126	292	40	5.2164	5.2164	NUM
ejpam-7126	292	41	)	)	PUNCT
ejpam-7126	292	42	λ	λ	PROPN
ejpam-7126	292	43	2.65934	2.65934	NUM
ejpam-7126	292	44	2.91626	2.91626	NUM
ejpam-7126	292	45	(	(	PUNCT
ejpam-7126	292	46	1.0371	1.0371	NUM
ejpam-7126	292	47	,	,	PUNCT
ejpam-7126	292	48	4.2816	4.2816	NUM
ejpam-7126	292	49	)	)	PUNCT
ejpam-7126	292	50	(	(	PUNCT
ejpam-7126	292	51	1.0422	1.0422	NUM
ejpam-7126	292	52	,	,	PUNCT
ejpam-7126	292	53	4.2987	4.2987	NUM
ejpam-7126	292	54	)	)	PUNCT
ejpam-7126	292	55	(	(	PUNCT
ejpam-7126	292	56	1.0341	1.0341	NUM
ejpam-7126	292	57	,	,	PUNCT
ejpam-7126	292	58	4.2807	4.2807	NUM
ejpam-7126	292	59	)	)	PUNCT
ejpam-7126	292	60	(	(	PUNCT
ejpam-7126	292	61	1.5527	1.5527	NUM
ejpam-7126	292	62	,	,	PUNCT
ejpam-7126	292	63	5.2164	5.2164	NUM
ejpam-7126	292	64	)	)	PUNCT
ejpam-7126	292	65	s	s	PROPN
ejpam-7126	292	66	(	(	PUNCT
ejpam-7126	292	67	.	.	PUNCT
ejpam-7126	292	68	)	)	PUNCT
ejpam-7126	293	1	0.92661	0.92661	NUM
ejpam-7126	293	2	0.92657	0.92657	NUM
ejpam-7126	293	3	h	h	NOUN
ejpam-7126	293	4	(	(	PUNCT
ejpam-7126	293	5	.	.	PUNCT
ejpam-7126	293	6	)	)	PUNCT
ejpam-7126	294	1	0.08645	0.08645	NUM
ejpam-7126	294	2	0.08529	0.08529	NUM
ejpam-7126	294	3	s.	s.	PROPN
ejpam-7126	294	4	k.	k.	PROPN
ejpam-7126	294	5	badr	badr	PROPN
ejpam-7126	294	6	/	/	SYM
ejpam-7126	294	7	eur	eur	PROPN
ejpam-7126	294	8	.	.	PUNCT
ejpam-7126	295	1	j.	j.	PROPN
ejpam-7126	295	2	pure	pure	PROPN
ejpam-7126	295	3	appl	appl	PROPN
ejpam-7126	295	4	.	.	PROPN
ejpam-7126	295	5	math	math	PROPN
ejpam-7126	295	6	,	,	PUNCT
ejpam-7126	295	7	18	18	NUM
ejpam-7126	295	8	(	(	PUNCT
ejpam-7126	295	9	4	4	NUM
ejpam-7126	295	10	)	)	PUNCT
ejpam-7126	295	11	(	(	PUNCT
ejpam-7126	295	12	2025	2025	NUM
ejpam-7126	295	13	)	)	PUNCT
ejpam-7126	295	14	,	,	PUNCT
ejpam-7126	295	15	7126	7126	NUM
ejpam-7126	295	16	15	15	NUM
ejpam-7126	295	17	of	of	ADP
ejpam-7126	295	18	20	20	NUM
ejpam-7126	295	19	figure	figure	NOUN
ejpam-7126	295	20	7	7	NUM
ejpam-7126	295	21	:	:	PUNCT
ejpam-7126	295	22	simulation	simulation	NOUN
ejpam-7126	295	23	number	number	NOUN
ejpam-7126	295	24	and	and	CCONJ
ejpam-7126	295	25	histogram	histogram	NOUN
ejpam-7126	295	26	of	of	ADP
ejpam-7126	295	27	s	s	PRON
ejpam-7126	295	28	and	and	CCONJ
ejpam-7126	295	29	h	h	PROPN
ejpam-7126	295	30	generated	generate	VERB
ejpam-7126	295	31	by	by	ADP
ejpam-7126	295	32	mcmc	mcmc	PROPN
ejpam-7126	295	33	method	method	PROPN
ejpam-7126	295	34	,	,	PUNCT
ejpam-7126	295	35	respectively	respectively	ADV
ejpam-7126	295	36	.	.	PUNCT
ejpam-7126	296	1	mation	mation	PROPN
ejpam-7126	296	2	(	(	PUNCT
ejpam-7126	296	3	4	4	NUM
ejpam-7126	296	4	)	)	PUNCT
ejpam-7126	296	5	and	and	CCONJ
ejpam-7126	296	6	accelerated	accelerate	VERB
ejpam-7126	296	7	factor	factor	NOUN
ejpam-7126	296	8	λ	λ	PROPN
ejpam-7126	296	9	.	.	PROPN
ejpam-7126	296	10	step	step	NOUN
ejpam-7126	296	11	4	4	NUM
ejpam-7126	296	12	:	:	PUNCT
ejpam-7126	296	13	compute	compute	VERB
ejpam-7126	296	14	the	the	DET
ejpam-7126	296	15	point	point	NOUN
ejpam-7126	296	16	ml	ml	ADV
ejpam-7126	296	17	and	and	CCONJ
ejpam-7126	296	18	bayes	bayes	NOUN
ejpam-7126	296	19	estimate	estimate	NOUN
ejpam-7126	296	20	of	of	ADP
ejpam-7126	296	21	λ	λ	PROPN
ejpam-7126	296	22	and	and	CCONJ
ejpam-7126	296	23	β	β	NOUN
ejpam-7126	296	24	.	.	PUNCT
ejpam-7126	296	25	step	step	NOUN
ejpam-7126	296	26	5	5	NUM
ejpam-7126	296	27	:	:	PUNCT
ejpam-7126	296	28	compute	compute	VERB
ejpam-7126	296	29	the	the	DET
ejpam-7126	296	30	interval	interval	NOUN
ejpam-7126	296	31	ml	ml	ADP
ejpam-7126	296	32	confidence	confidence	NOUN
ejpam-7126	296	33	interval	interval	NOUN
ejpam-7126	296	34	,	,	PUNCT
ejpam-7126	296	35	bootstrap	bootstrap	NOUN
ejpam-7126	296	36	confidence	confidence	NOUN
ejpam-7126	296	37	intervals	interval	NOUN
ejpam-7126	296	38	and	and	CCONJ
ejpam-7126	296	39	bayesian	bayesian	NOUN
ejpam-7126	296	40	credible	credible	ADJ
ejpam-7126	296	41	interval	interval	NOUN
ejpam-7126	296	42	.	.	PUNCT
ejpam-7126	297	1	step	step	NOUN
ejpam-7126	297	2	5	5	NUM
ejpam-7126	297	3	:	:	PUNCT
ejpam-7126	297	4	repeated	repeat	VERB
ejpam-7126	297	5	steps	step	NOUN
ejpam-7126	297	6	from	from	ADP
ejpam-7126	297	7	1	1	NUM
ejpam-7126	297	8	to	to	ADP
ejpam-7126	297	9	5	5	NUM
ejpam-7126	297	10	1000	1000	NUM
ejpam-7126	297	11	times	time	NOUN
ejpam-7126	297	12	.	.	PUNCT
ejpam-7126	298	1	step	step	VERB
ejpam-7126	298	2	6	6	NUM
ejpam-7126	298	3	:	:	PUNCT
ejpam-7126	298	4	the	the	DET
ejpam-7126	298	5	values	value	NOUN
ejpam-7126	298	6	of	of	ADP
ejpam-7126	298	7	mes	me	NOUN
ejpam-7126	298	8	,	,	PUNCT
ejpam-7126	298	9	mses	ms	NOUN
ejpam-7126	298	10	,	,	PUNCT
ejpam-7126	298	11	mils	mil	NOUN
ejpam-7126	298	12	and	and	CCONJ
ejpam-7126	298	13	pcs	pc	NOUN
ejpam-7126	298	14	are	be	AUX
ejpam-7126	298	15	computed	compute	VERB
ejpam-7126	298	16	and	and	CCONJ
ejpam-7126	298	17	results	result	VERB
ejpam-7126	298	18	record	record	NOUN
ejpam-7126	298	19	in	in	ADP
ejpam-7126	298	20	tables	table	NOUN
ejpam-7126	298	21	(	(	PUNCT
ejpam-7126	298	22	6	6	NUM
ejpam-7126	298	23	)	)	PUNCT
ejpam-7126	298	24	to	to	ADP
ejpam-7126	298	25	(	(	PUNCT
ejpam-7126	298	26	9	9	NUM
ejpam-7126	298	27	)	)	PUNCT
ejpam-7126	298	28	.	.	PUNCT
ejpam-7126	299	1	table	table	NOUN
ejpam-7126	299	2	6	6	NUM
ejpam-7126	299	3	.	.	PUNCT
ejpam-7126	300	1	average	average	VERB
ejpam-7126	300	2	me	i	PRON
ejpam-7126	300	3	and	and	CCONJ
ejpam-7126	300	4	the	the	DET
ejpam-7126	300	5	corresponding	corresponding	ADJ
ejpam-7126	300	6	mses	ms	NOUN
ejpam-7126	300	7	when	when	SCONJ
ejpam-7126	300	8	β	β	X
ejpam-7126	300	9	=	=	NOUN
ejpam-7126	300	10	0.5	0.5	NUM
ejpam-7126	300	11	and	and	CCONJ
ejpam-7126	300	12	λ	λ	X
ejpam-7126	300	13	=	=	NOUN
ejpam-7126	300	14	2.5	2.5	NUM
ejpam-7126	300	15	.	.	PUNCT
ejpam-7126	301	1	(	(	PUNCT
ejpam-7126	301	2	k	k	X
ejpam-7126	301	3	,	,	PUNCT
ejpam-7126	301	4	m	m	PROPN
ejpam-7126	301	5	,	,	PUNCT
ejpam-7126	301	6	n	n	CCONJ
ejpam-7126	301	7	)	)	PUNCT
ejpam-7126	301	8	(	(	PUNCT
ejpam-7126	301	9	η	η	PROPN
ejpam-7126	301	10	,	,	PUNCT
ejpam-7126	301	11	τ	τ	X
ejpam-7126	301	12	)	)	PUNCT
ejpam-7126	301	13	mle	mle	PROPN
ejpam-7126	301	14	bayes	bayes	PROPN
ejpam-7126	301	15	p0	p0	PROPN
ejpam-7126	301	16	bayes	bayes	PROPN
ejpam-7126	301	17	p1	p1	PROPN
ejpam-7126	301	18	β	β	X
ejpam-7126	301	19	λ	λ	X
ejpam-7126	301	20	β	β	X
ejpam-7126	301	21	λ	λ	X
ejpam-7126	301	22	β	β	X
ejpam-7126	301	23	λ	λ	X
ejpam-7126	301	24	(	(	PUNCT
ejpam-7126	301	25	15,20,40	15,20,40	NUM
ejpam-7126	301	26	)	)	PUNCT
ejpam-7126	301	27	(	(	PUNCT
ejpam-7126	301	28	2.5,6.5	2.5,6.5	NUM
ejpam-7126	301	29	)	)	PUNCT
ejpam-7126	301	30	me	i	PRON
ejpam-7126	301	31	0.742	0.742	NUM
ejpam-7126	301	32	2.853	2.853	NUM
ejpam-7126	301	33	0.727	0.727	NUM
ejpam-7126	301	34	2.847	2.847	NUM
ejpam-7126	301	35	0.687	0.687	NUM
ejpam-7126	301	36	2.744	2.744	NUM
ejpam-7126	301	37	mse	mse	NOUN
ejpam-7126	301	38	0.147	0.147	NUM
ejpam-7126	301	39	0.336	0.336	NUM
ejpam-7126	301	40	0.139	0.139	NUM
ejpam-7126	301	41	0.342	0.342	NUM
ejpam-7126	301	42	0.103	0.103	NUM
ejpam-7126	301	43	0.267	0.267	NUM
ejpam-7126	301	44	(	(	PUNCT
ejpam-7126	301	45	15,20,40	15,20,40	NUM
ejpam-7126	301	46	)	)	PUNCT
ejpam-7126	301	47	(	(	PUNCT
ejpam-7126	301	48	5,6.5	5,6.5	NUM
ejpam-7126	301	49	)	)	PUNCT
ejpam-7126	301	50	me	i	PRON
ejpam-7126	301	51	0.719	0.719	NUM
ejpam-7126	301	52	2.871	2.871	NUM
ejpam-7126	301	53	0.705	0.705	NUM
ejpam-7126	301	54	2.869	2.869	NUM
ejpam-7126	301	55	0.661	0.661	NUM
ejpam-7126	301	56	2.761	2.761	NUM
ejpam-7126	301	57	mse	mse	NOUN
ejpam-7126	301	58	0.136	0.136	NUM
ejpam-7126	301	59	0.341	0.341	NUM
ejpam-7126	301	60	0.125	0.125	NUM
ejpam-7126	301	61	0.359	0.359	NUM
ejpam-7126	301	62	0.099	0.099	NUM
ejpam-7126	301	63	0.271	0.271	NUM
ejpam-7126	301	64	(	(	PUNCT
ejpam-7126	301	65	15,30,40	15,30,40	NUM
ejpam-7126	301	66	)	)	PUNCT
ejpam-7126	301	67	(	(	PUNCT
ejpam-7126	301	68	2.5,6.5	2.5,6.5	NUM
ejpam-7126	301	69	)	)	PUNCT
ejpam-7126	301	70	me	i	PRON
ejpam-7126	301	71	0.641	0.641	NUM
ejpam-7126	301	72	2.761	2.761	NUM
ejpam-7126	301	73	0.615	0.615	NUM
ejpam-7126	301	74	2.739	2.739	NUM
ejpam-7126	301	75	0.601	0.601	NUM
ejpam-7126	301	76	2.630	2.630	NUM
ejpam-7126	301	77	mse	mse	NOUN
ejpam-7126	301	78	0.118	0.118	NUM
ejpam-7126	301	79	0.305	0.305	NUM
ejpam-7126	301	80	0.114	0.114	NUM
ejpam-7126	301	81	0.318	0.318	NUM
ejpam-7126	301	82	0.082	0.082	NUM
ejpam-7126	301	83	0.231	0.231	NUM
ejpam-7126	301	84	(	(	PUNCT
ejpam-7126	301	85	15,30,30	15,30,30	NUM
ejpam-7126	301	86	)	)	PUNCT
ejpam-7126	301	87	(	(	PUNCT
ejpam-7126	301	88	5,6.5	5,6.5	X
ejpam-7126	301	89	)	)	PUNCT
ejpam-7126	301	90	me	i	PRON
ejpam-7126	302	1	0.630	0.630	NUM
ejpam-7126	302	2	2.782	2.782	NUM
ejpam-7126	302	3	0.672	0.672	NUM
ejpam-7126	302	4	2.800	2.800	NUM
ejpam-7126	302	5	0.598	0.598	NUM
ejpam-7126	302	6	2.670	2.670	NUM
ejpam-7126	302	7	mse	mse	NOUN
ejpam-7126	302	8	0.112	0.112	NUM
ejpam-7126	302	9	0.315	0.315	NUM
ejpam-7126	302	10	0.101	0.101	NUM
ejpam-7126	302	11	0.331	0.331	NUM
ejpam-7126	302	12	0.075	0.075	NUM
ejpam-7126	302	13	0.242	0.242	NUM
ejpam-7126	302	14	(	(	PUNCT
ejpam-7126	302	15	25,35,70	25,35,70	NUM
ejpam-7126	302	16	)	)	PUNCT
ejpam-7126	302	17	(	(	PUNCT
ejpam-7126	302	18	2.5,6.5	2.5,6.5	NUM
ejpam-7126	302	19	)	)	PUNCT
ejpam-7126	302	20	me	i	PRON
ejpam-7126	302	21	0.611	0.611	NUM
ejpam-7126	302	22	2.759	2.759	NUM
ejpam-7126	302	23	0.647	0.647	NUM
ejpam-7126	302	24	2.771	2.771	NUM
ejpam-7126	302	25	0.569	0.569	NUM
ejpam-7126	302	26	2.645	2.645	NUM
ejpam-7126	302	27	mse	mse	NOUN
ejpam-7126	302	28	0.099	0.099	NUM
ejpam-7126	302	29	0.302	0.302	NUM
ejpam-7126	302	30	0.088	0.088	NUM
ejpam-7126	302	31	0.311	0.311	NUM
ejpam-7126	302	32	0.063	0.063	NUM
ejpam-7126	302	33	0.229	0.229	NUM
ejpam-7126	302	34	(	(	PUNCT
ejpam-7126	302	35	25,35,70	25,35,70	NUM
ejpam-7126	302	36	)	)	PUNCT
ejpam-7126	302	37	(	(	PUNCT
ejpam-7126	302	38	5,6.5	5,6.5	X
ejpam-7126	302	39	)	)	PUNCT
ejpam-7126	302	40	me	i	PRON
ejpam-7126	302	41	0.601	0.601	NUM
ejpam-7126	302	42	2.769	2.769	NUM
ejpam-7126	302	43	0.631	0.631	NUM
ejpam-7126	302	44	2.789	2.789	NUM
ejpam-7126	302	45	0.551	0.551	NUM
ejpam-7126	302	46	2.653	2.653	NUM
ejpam-7126	302	47	mse	mse	NOUN
ejpam-7126	302	48	0.092	0.092	NUM
ejpam-7126	302	49	0.308	0.308	NUM
ejpam-7126	302	50	0.081	0.081	NUM
ejpam-7126	302	51	0.313	0.313	NUM
ejpam-7126	302	52	0.060	0.060	NUM
ejpam-7126	302	53	0.234	0.234	NUM
ejpam-7126	302	54	(	(	PUNCT
ejpam-7126	302	55	25,50,70	25,50,70	NOUN
ejpam-7126	302	56	)	)	PUNCT
ejpam-7126	302	57	(	(	PUNCT
ejpam-7126	302	58	2.5,6.5	2.5,6.5	NUM
ejpam-7126	302	59	)	)	PUNCT
ejpam-7126	302	60	me	i	PRON
ejpam-7126	302	61	0.589	0.589	NUM
ejpam-7126	302	62	2.601	2.601	NUM
ejpam-7126	302	63	0.577	0.577	NUM
ejpam-7126	302	64	2.593	2.593	NUM
ejpam-7126	302	65	0.544	0.544	NUM
ejpam-7126	302	66	2.587	2.587	NUM
ejpam-7126	302	67	mse	mse	NOUN
ejpam-7126	302	68	0.076	0.076	NUM
ejpam-7126	302	69	0.234	0.234	NUM
ejpam-7126	302	70	0.069	0.069	NUM
ejpam-7126	302	71	0.227	0.227	NUM
ejpam-7126	302	72	0.041	0.041	NUM
ejpam-7126	302	73	0.175	0.175	NUM
ejpam-7126	302	74	(	(	PUNCT
ejpam-7126	302	75	25,50,70	25,50,70	NOUN
ejpam-7126	302	76	)	)	PUNCT
ejpam-7126	302	77	(	(	PUNCT
ejpam-7126	302	78	5,6.5	5,6.5	X
ejpam-7126	302	79	)	)	PUNCT
ejpam-7126	302	80	me	i	PRON
ejpam-7126	302	81	0.565	0.565	NUM
ejpam-7126	302	82	2.612	2.612	NUM
ejpam-7126	302	83	0.564	0.564	NUM
ejpam-7126	302	84	2.597	2.597	NUM
ejpam-7126	302	85	0.528	0.528	NUM
ejpam-7126	302	86	2.591	2.591	NUM
ejpam-7126	302	87	mse	mse	NOUN
ejpam-7126	302	88	0.071	0.071	NUM
ejpam-7126	302	89	0.239	0.239	NUM
ejpam-7126	302	90	0.063	0.063	NUM
ejpam-7126	302	91	0.232	0.232	NUM
ejpam-7126	302	92	0.035	0.035	NUM
ejpam-7126	302	93	0.181	0.181	NUM
ejpam-7126	303	1	s.	s.	PROPN
ejpam-7126	303	2	k.	k.	PROPN
ejpam-7126	303	3	badr	badr	PROPN
ejpam-7126	303	4	/	/	SYM
ejpam-7126	303	5	eur	eur	PROPN
ejpam-7126	303	6	.	.	PUNCT
ejpam-7126	304	1	j.	j.	PROPN
ejpam-7126	304	2	pure	pure	PROPN
ejpam-7126	304	3	appl	appl	PROPN
ejpam-7126	304	4	.	.	PROPN
ejpam-7126	304	5	math	math	PROPN
ejpam-7126	304	6	,	,	PUNCT
ejpam-7126	304	7	18	18	NUM
ejpam-7126	304	8	(	(	PUNCT
ejpam-7126	304	9	4	4	NUM
ejpam-7126	304	10	)	)	PUNCT
ejpam-7126	304	11	(	(	PUNCT
ejpam-7126	304	12	2025	2025	NUM
ejpam-7126	304	13	)	)	PUNCT
ejpam-7126	304	14	,	,	PUNCT
ejpam-7126	304	15	7126	7126	NUM
ejpam-7126	304	16	16	16	NUM
ejpam-7126	304	17	of	of	ADP
ejpam-7126	304	18	20	20	NUM
ejpam-7126	304	19	table	table	NOUN
ejpam-7126	304	20	7	7	NUM
ejpam-7126	304	21	.	.	PUNCT
ejpam-7126	304	22	average	average	ADJ
ejpam-7126	304	23	mil	mil	NOUN
ejpam-7126	304	24	and	and	CCONJ
ejpam-7126	304	25	the	the	DET
ejpam-7126	304	26	corresponding	correspond	VERB
ejpam-7126	304	27	pc	pc	NOUN
ejpam-7126	304	28	when	when	SCONJ
ejpam-7126	304	29	β	β	X
ejpam-7126	304	30	=	=	NOUN
ejpam-7126	304	31	0.5	0.5	NUM
ejpam-7126	304	32	and	and	CCONJ
ejpam-7126	304	33	λ	λ	X
ejpam-7126	304	34	=	=	NOUN
ejpam-7126	304	35	2.5	2.5	NUM
ejpam-7126	304	36	.	.	PUNCT
ejpam-7126	305	1	(	(	PUNCT
ejpam-7126	305	2	k	k	X
ejpam-7126	305	3	,	,	PUNCT
ejpam-7126	305	4	m	m	PROPN
ejpam-7126	305	5	,	,	PUNCT
ejpam-7126	305	6	n	n	CCONJ
ejpam-7126	305	7	)	)	PUNCT
ejpam-7126	305	8	(	(	PUNCT
ejpam-7126	305	9	η	η	PROPN
ejpam-7126	305	10	,	,	PUNCT
ejpam-7126	305	11	τ	τ	X
ejpam-7126	305	12	)	)	PUNCT
ejpam-7126	305	13	mle	mle	PROPN
ejpam-7126	305	14	boot	boot	PROPN
ejpam-7126	305	15	-	-	PUNCT
ejpam-7126	305	16	p	p	NOUN
ejpam-7126	305	17	boot	boot	NOUN
ejpam-7126	305	18	-	-	PUNCT
ejpam-7126	305	19	t	t	NOUN
ejpam-7126	305	20	bayes	bayes	PROPN
ejpam-7126	305	21	p1	p1	PROPN
ejpam-7126	305	22	β	β	X
ejpam-7126	305	23	λ	λ	X
ejpam-7126	305	24	β	β	X
ejpam-7126	305	25	λ	λ	X
ejpam-7126	305	26	β	β	X
ejpam-7126	305	27	λ	λ	X
ejpam-7126	305	28	β	β	X
ejpam-7126	305	29	λ	λ	X
ejpam-7126	305	30	(	(	PUNCT
ejpam-7126	305	31	15,20,40	15,20,40	NUM
ejpam-7126	305	32	)	)	PUNCT
ejpam-7126	305	33	(	(	PUNCT
ejpam-7126	305	34	2.5,6.5	2.5,6.5	NUM
ejpam-7126	305	35	)	)	PUNCT
ejpam-7126	305	36	mil	mil	NOUN
ejpam-7126	305	37	0.642	0.642	NUM
ejpam-7126	305	38	4.245	4.245	NUM
ejpam-7126	305	39	0.666	0.666	NUM
ejpam-7126	305	40	4.542	4.542	NUM
ejpam-7126	305	41	0.626	0.626	NUM
ejpam-7126	305	42	4.011	4.011	NUM
ejpam-7126	305	43	0.603	0.603	NUM
ejpam-7126	305	44	3.897	3.897	NUM
ejpam-7126	305	45	pc	pc	NOUN
ejpam-7126	305	46	0.89	0.89	NUM
ejpam-7126	305	47	0.90	0.90	NUM
ejpam-7126	305	48	0.91	0.91	NUM
ejpam-7126	305	49	0.89	0.89	NUM
ejpam-7126	305	50	0.91	0.91	NUM
ejpam-7126	305	51	0.92	0.92	NUM
ejpam-7126	305	52	0.92	0.92	NUM
ejpam-7126	305	53	0.92	0.92	NUM
ejpam-7126	305	54	(	(	PUNCT
ejpam-7126	305	55	15,20,40	15,20,40	NUM
ejpam-7126	305	56	)	)	PUNCT
ejpam-7126	305	57	(	(	PUNCT
ejpam-7126	305	58	5.0,6.5	5.0,6.5	NUM
ejpam-7126	305	59	)	)	PUNCT
ejpam-7126	305	60	mil	mil	NOUN
ejpam-7126	305	61	0.631	0.631	NUM
ejpam-7126	305	62	4.253	4.253	NUM
ejpam-7126	305	63	0.649	0.649	NUM
ejpam-7126	305	64	4.551	4.551	NUM
ejpam-7126	305	65	0.615	0.615	NUM
ejpam-7126	305	66	4.017	4.017	NUM
ejpam-7126	305	67	0.598	0.598	NUM
ejpam-7126	305	68	3.901	3.901	NUM
ejpam-7126	305	69	pc	pc	NOUN
ejpam-7126	305	70	0.91	0.91	NUM
ejpam-7126	305	71	0.90	0.90	NUM
ejpam-7126	305	72	0.92	0.92	NUM
ejpam-7126	305	73	0.90	0.90	NUM
ejpam-7126	305	74	0.91	0.91	NUM
ejpam-7126	305	75	0.93	0.93	NUM
ejpam-7126	305	76	0.94	0.94	NUM
ejpam-7126	305	77	0.91	0.91	NUM
ejpam-7126	305	78	(	(	PUNCT
ejpam-7126	305	79	15,30,40	15,30,40	NUM
ejpam-7126	305	80	)	)	PUNCT
ejpam-7126	305	81	(	(	PUNCT
ejpam-7126	305	82	2.5,6.5	2.5,6.5	NUM
ejpam-7126	305	83	)	)	PUNCT
ejpam-7126	305	84	mil	mil	NOUN
ejpam-7126	305	85	0.601	0.601	NUM
ejpam-7126	305	86	4.225	4.225	NUM
ejpam-7126	305	87	0.618	0.618	NUM
ejpam-7126	305	88	4.527	4.527	NUM
ejpam-7126	305	89	0.589	0.589	NUM
ejpam-7126	305	90	4.001	4.001	NUM
ejpam-7126	305	91	0.579	0.579	NUM
ejpam-7126	305	92	3.891	3.891	NUM
ejpam-7126	305	93	pc	pc	NOUN
ejpam-7126	305	94	0.90	0.90	NUM
ejpam-7126	305	95	0.93	0.93	NUM
ejpam-7126	305	96	0.91	0.91	NUM
ejpam-7126	305	97	0.93	0.93	NUM
ejpam-7126	305	98	0.94	0.94	NUM
ejpam-7126	305	99	0.96	0.96	NUM
ejpam-7126	305	100	0.93	0.93	NUM
ejpam-7126	305	101	0.95	0.95	NUM
ejpam-7126	305	102	(	(	PUNCT
ejpam-7126	305	103	15,30,30	15,30,30	NUM
ejpam-7126	305	104	)	)	PUNCT
ejpam-7126	305	105	(	(	PUNCT
ejpam-7126	305	106	5.0,6.5	5.0,6.5	NUM
ejpam-7126	305	107	)	)	PUNCT
ejpam-7126	305	108	mil	mil	VERB
ejpam-7126	305	109	0.589	0.589	NUM
ejpam-7126	305	110	4.233	4.233	NUM
ejpam-7126	305	111	0.609	0.609	NUM
ejpam-7126	305	112	4.534	4.534	NUM
ejpam-7126	305	113	0.580	0.580	NUM
ejpam-7126	305	114	4.014	4.014	NUM
ejpam-7126	305	115	0.561	0.561	NUM
ejpam-7126	305	116	3.898	3.898	NUM
ejpam-7126	305	117	pc	pc	NOUN
ejpam-7126	305	118	0.91	0.91	NUM
ejpam-7126	305	119	0.93	0.93	NUM
ejpam-7126	305	120	0.93	0.93	NUM
ejpam-7126	305	121	0.94	0.94	NUM
ejpam-7126	305	122	0.95	0.95	NUM
ejpam-7126	305	123	0.92	0.92	NUM
ejpam-7126	305	124	0.96	0.96	NUM
ejpam-7126	305	125	0.94	0.94	NUM
ejpam-7126	305	126	(	(	PUNCT
ejpam-7126	305	127	25,35,70	25,35,70	NUM
ejpam-7126	305	128	)	)	PUNCT
ejpam-7126	305	129	(	(	PUNCT
ejpam-7126	305	130	2.5,6.5	2.5,6.5	NUM
ejpam-7126	305	131	)	)	PUNCT
ejpam-7126	305	132	mil	mil	NOUN
ejpam-7126	305	133	0.566	0.566	NUM
ejpam-7126	305	134	4.211	4.211	NUM
ejpam-7126	305	135	0.575	0.575	NUM
ejpam-7126	305	136	4.508	4.508	NUM
ejpam-7126	305	137	0.550	0.550	NUM
ejpam-7126	305	138	3.980	3.980	NUM
ejpam-7126	305	139	0.542	0.542	NUM
ejpam-7126	305	140	3.859	3.859	NUM
ejpam-7126	305	141	pc	pc	NOUN
ejpam-7126	305	142	0.94	0.94	NUM
ejpam-7126	305	143	0.92	0.92	NUM
ejpam-7126	305	144	0.93	0.93	NUM
ejpam-7126	305	145	0.90	0.90	NUM
ejpam-7126	305	146	0.94	0.94	NUM
ejpam-7126	305	147	0.94	0.94	NUM
ejpam-7126	305	148	0.96	0.96	NUM
ejpam-7126	305	149	0.92	0.92	NUM
ejpam-7126	305	150	(	(	PUNCT
ejpam-7126	305	151	25,35,70	25,35,70	NUM
ejpam-7126	305	152	)	)	PUNCT
ejpam-7126	305	153	(	(	PUNCT
ejpam-7126	305	154	5.0,6.5	5.0,6.5	NUM
ejpam-7126	305	155	)	)	PUNCT
ejpam-7126	305	156	mil	mil	NOUN
ejpam-7126	305	157	0.551	0.551	NUM
ejpam-7126	305	158	4.219	4.219	NUM
ejpam-7126	305	159	0.562	0.562	NUM
ejpam-7126	305	160	4.517	4.517	NUM
ejpam-7126	305	161	0.535	0.535	NUM
ejpam-7126	305	162	3.991	3.991	NUM
ejpam-7126	305	163	0.527	0.527	NUM
ejpam-7126	305	164	3.861	3.861	NUM
ejpam-7126	305	165	pc	pc	NOUN
ejpam-7126	305	166	0.93	0.93	NUM
ejpam-7126	305	167	0.93	0.93	NUM
ejpam-7126	305	168	0.93	0.93	NUM
ejpam-7126	305	169	0.96	0.96	NUM
ejpam-7126	305	170	0.92	0.92	NUM
ejpam-7126	305	171	0.94	0.94	NUM
ejpam-7126	305	172	0.95	0.95	NUM
ejpam-7126	305	173	0.95	0.95	NUM
ejpam-7126	306	1	(	(	PUNCT
ejpam-7126	306	2	25,50,70	25,50,70	NOUN
ejpam-7126	306	3	)	)	PUNCT
ejpam-7126	306	4	(	(	PUNCT
ejpam-7126	306	5	2.5,6.5	2.5,6.5	NUM
ejpam-7126	306	6	)	)	PUNCT
ejpam-7126	306	7	mil	mil	NOUN
ejpam-7126	306	8	0.515	0.515	NUM
ejpam-7126	306	9	4.170	4.170	NUM
ejpam-7126	306	10	0.531	0.531	NUM
ejpam-7126	306	11	4.466	4.466	NUM
ejpam-7126	306	12	0.505	0.505	NUM
ejpam-7126	306	13	3.938	3.938	NUM
ejpam-7126	306	14	0.511	0.511	NUM
ejpam-7126	306	15	3.815	3.815	NUM
ejpam-7126	306	16	pc	pc	NOUN
ejpam-7126	306	17	0.93	0.93	NUM
ejpam-7126	306	18	0.95	0.95	NUM
ejpam-7126	306	19	0.93	0.93	NUM
ejpam-7126	306	20	0.92	0.92	NUM
ejpam-7126	306	21	0.93	0.93	NUM
ejpam-7126	306	22	0.94	0.94	NUM
ejpam-7126	306	23	0.93	0.93	NUM
ejpam-7126	306	24	0.94	0.94	NUM
ejpam-7126	306	25	(	(	PUNCT
ejpam-7126	306	26	25,50,70	25,50,70	NOUN
ejpam-7126	306	27	)	)	PUNCT
ejpam-7126	306	28	(	(	PUNCT
ejpam-7126	306	29	5.0,6.5	5.0,6.5	NUM
ejpam-7126	306	30	)	)	PUNCT
ejpam-7126	306	31	mil	mil	NOUN
ejpam-7126	306	32	0.502	0.502	NUM
ejpam-7126	306	33	4.176	4.176	NUM
ejpam-7126	306	34	0.519	0.519	NUM
ejpam-7126	306	35	4.471	4.471	NUM
ejpam-7126	306	36	0.501	0.501	NUM
ejpam-7126	306	37	3.943	3.943	NUM
ejpam-7126	306	38	0.495	0.495	NUM
ejpam-7126	306	39	3.822	3.822	NUM
ejpam-7126	306	40	pc	pc	NOUN
ejpam-7126	306	41	0.92	0.92	NUM
ejpam-7126	306	42	0.92	0.92	NUM
ejpam-7126	306	43	0.96	0.96	NUM
ejpam-7126	306	44	0.94	0.94	NUM
ejpam-7126	306	45	0.93	0.93	NUM
ejpam-7126	306	46	0.95	0.95	NUM
ejpam-7126	306	47	0.95	0.95	NUM
ejpam-7126	306	48	0.91	0.91	NUM
ejpam-7126	306	49	table	table	NOUN
ejpam-7126	306	50	8	8	NUM
ejpam-7126	306	51	.	.	PUNCT
ejpam-7126	307	1	average	average	VERB
ejpam-7126	307	2	me	i	PRON
ejpam-7126	307	3	and	and	CCONJ
ejpam-7126	307	4	the	the	DET
ejpam-7126	307	5	corresponding	corresponding	ADJ
ejpam-7126	307	6	mses	ms	NOUN
ejpam-7126	307	7	when	when	SCONJ
ejpam-7126	307	8	β	β	X
ejpam-7126	307	9	=	=	NOUN
ejpam-7126	307	10	1.2	1.2	NUM
ejpam-7126	307	11	and	and	CCONJ
ejpam-7126	307	12	λ	λ	X
ejpam-7126	307	13	=	=	NOUN
ejpam-7126	307	14	1.5	1.5	NUM
ejpam-7126	307	15	.	.	PUNCT
ejpam-7126	308	1	(	(	PUNCT
ejpam-7126	308	2	k	k	X
ejpam-7126	308	3	,	,	PUNCT
ejpam-7126	308	4	m	m	PROPN
ejpam-7126	308	5	,	,	PUNCT
ejpam-7126	308	6	n	n	CCONJ
ejpam-7126	308	7	)	)	PUNCT
ejpam-7126	308	8	(	(	PUNCT
ejpam-7126	308	9	η	η	PROPN
ejpam-7126	308	10	,	,	PUNCT
ejpam-7126	308	11	τ	τ	X
ejpam-7126	308	12	)	)	PUNCT
ejpam-7126	308	13	mle	mle	PROPN
ejpam-7126	308	14	bayes	bayes	PROPN
ejpam-7126	308	15	p0	p0	PROPN
ejpam-7126	308	16	bayes	bayes	PROPN
ejpam-7126	308	17	p1	p1	PROPN
ejpam-7126	308	18	β	β	X
ejpam-7126	308	19	λ	λ	X
ejpam-7126	308	20	β	β	X
ejpam-7126	308	21	λ	λ	X
ejpam-7126	308	22	β	β	X
ejpam-7126	308	23	λ	λ	X
ejpam-7126	308	24	(	(	PUNCT
ejpam-7126	308	25	15,20,40	15,20,40	NUM
ejpam-7126	308	26	)	)	PUNCT
ejpam-7126	308	27	(	(	PUNCT
ejpam-7126	308	28	0.8,2.0	0.8,2.0	PROPN
ejpam-7126	308	29	)	)	PUNCT
ejpam-7126	308	30	me	i	PRON
ejpam-7126	308	31	1.454	1.454	NUM
ejpam-7126	308	32	2.147	2.147	NUM
ejpam-7126	308	33	1.404	1.404	NUM
ejpam-7126	308	34	2.103	2.103	NUM
ejpam-7126	308	35	1.389	1.389	NUM
ejpam-7126	308	36	2.001	2.001	NUM
ejpam-7126	308	37	mse	mse	NOUN
ejpam-7126	308	38	0.284	0.284	NUM
ejpam-7126	308	39	0.314	0.314	NUM
ejpam-7126	308	40	0.275	0.275	NUM
ejpam-7126	308	41	0.303	0.303	NUM
ejpam-7126	308	42	0.197	0.197	NUM
ejpam-7126	308	43	0.287	0.287	NUM
ejpam-7126	308	44	(	(	PUNCT
ejpam-7126	308	45	15,20,40	15,20,40	NUM
ejpam-7126	308	46	)	)	PUNCT
ejpam-7126	308	47	(	(	PUNCT
ejpam-7126	308	48	1.2,2.0	1.2,2.0	NUM
ejpam-7126	308	49	)	)	PUNCT
ejpam-7126	308	50	me	i	PRON
ejpam-7126	308	51	1.445	1.445	NUM
ejpam-7126	308	52	2.151	2.151	NUM
ejpam-7126	308	53	1.389	1.389	NUM
ejpam-7126	308	54	2.111	2.111	NUM
ejpam-7126	308	55	1.365	1.365	NUM
ejpam-7126	308	56	2.008	2.008	NUM
ejpam-7126	308	57	mse	mse	NOUN
ejpam-7126	308	58	0.255	0.255	NUM
ejpam-7126	309	1	0.322	0.322	NUM
ejpam-7126	309	2	0.242	0.242	NUM
ejpam-7126	309	3	0.312	0.312	NUM
ejpam-7126	309	4	0.162	0.162	NUM
ejpam-7126	309	5	0.291	0.291	NUM
ejpam-7126	309	6	(	(	PUNCT
ejpam-7126	309	7	15,30,40	15,30,40	NUM
ejpam-7126	309	8	)	)	PUNCT
ejpam-7126	309	9	(	(	PUNCT
ejpam-7126	309	10	0.8,2.0	0.8,2.0	PROPN
ejpam-7126	309	11	)	)	PUNCT
ejpam-7126	309	12	me	i	PRON
ejpam-7126	309	13	1.392	1.392	NUM
ejpam-7126	309	14	2.118	2.118	NUM
ejpam-7126	309	15	1.379	1.379	NUM
ejpam-7126	309	16	1.893	1.893	NUM
ejpam-7126	309	17	1.314	1.314	NUM
ejpam-7126	309	18	1.872	1.872	NUM
ejpam-7126	309	19	mse	mse	NOUN
ejpam-7126	309	20	0.225	0.225	NUM
ejpam-7126	309	21	0.289	0.289	NUM
ejpam-7126	309	22	0.222	0.222	NUM
ejpam-7126	309	23	0.275	0.275	NUM
ejpam-7126	309	24	0.135	0.135	NUM
ejpam-7126	309	25	0.214	0.214	NUM
ejpam-7126	309	26	(	(	PUNCT
ejpam-7126	309	27	15,30,30	15,30,30	NUM
ejpam-7126	309	28	)	)	PUNCT
ejpam-7126	309	29	(	(	PUNCT
ejpam-7126	309	30	1.2,2.0	1.2,2.0	NUM
ejpam-7126	309	31	)	)	PUNCT
ejpam-7126	309	32	me	i	PRON
ejpam-7126	309	33	1.362	1.362	NUM
ejpam-7126	309	34	2.123	2.123	NUM
ejpam-7126	309	35	1.355	1.355	NUM
ejpam-7126	309	36	1.914	1.914	NUM
ejpam-7126	309	37	1.289	1.289	NUM
ejpam-7126	309	38	1.885	1.885	NUM
ejpam-7126	309	39	mse	mse	NOUN
ejpam-7126	309	40	0.195	0.195	NUM
ejpam-7126	309	41	0.294	0.294	NUM
ejpam-7126	309	42	0.187	0.187	NUM
ejpam-7126	309	43	0.282	0.282	NUM
ejpam-7126	309	44	0.114	0.114	NUM
ejpam-7126	309	45	0.219	0.219	NUM
ejpam-7126	309	46	(	(	PUNCT
ejpam-7126	309	47	25,35,70	25,35,70	NUM
ejpam-7126	309	48	)	)	PUNCT
ejpam-7126	309	49	(	(	PUNCT
ejpam-7126	309	50	0.8,2.0	0.8,2.0	PROPN
ejpam-7126	309	51	)	)	PUNCT
ejpam-7126	309	52	me	i	PRON
ejpam-7126	309	53	1.278	1.278	NUM
ejpam-7126	309	54	1.874	1.874	NUM
ejpam-7126	309	55	1.282	1.282	NUM
ejpam-7126	309	56	1.971	1.971	NUM
ejpam-7126	309	57	1.244	1.244	NUM
ejpam-7126	309	58	1.754	1.754	NUM
ejpam-7126	309	59	mse	mse	NOUN
ejpam-7126	309	60	0.135	0.135	NUM
ejpam-7126	309	61	0.166	0.166	NUM
ejpam-7126	309	62	0.127	0.127	NUM
ejpam-7126	309	63	0.159	0.159	NUM
ejpam-7126	309	64	0.094	0.094	NUM
ejpam-7126	309	65	0.114	0.114	NUM
ejpam-7126	309	66	(	(	PUNCT
ejpam-7126	309	67	25,35,70	25,35,70	NUM
ejpam-7126	309	68	)	)	PUNCT
ejpam-7126	309	69	(	(	PUNCT
ejpam-7126	309	70	1.2,2.0	1.2,2.0	NUM
ejpam-7126	309	71	)	)	PUNCT
ejpam-7126	309	72	me	i	PRON
ejpam-7126	309	73	1.254	1.254	NUM
ejpam-7126	309	74	1.881	1.881	NUM
ejpam-7126	309	75	1.259	1.259	NUM
ejpam-7126	309	76	1.977	1.977	NUM
ejpam-7126	309	77	1.232	1.232	NUM
ejpam-7126	309	78	1.757	1.757	NUM
ejpam-7126	309	79	mse	mse	NOUN
ejpam-7126	309	80	0.122	0.122	NUM
ejpam-7126	309	81	0.169	0.169	NUM
ejpam-7126	309	82	0.124	0.124	NUM
ejpam-7126	309	83	0.161	0.161	NUM
ejpam-7126	309	84	0.085	0.085	NUM
ejpam-7126	309	85	0.099	0.099	NUM
ejpam-7126	309	86	(	(	PUNCT
ejpam-7126	309	87	25,50,70	25,50,70	NOUN
ejpam-7126	309	88	)	)	PUNCT
ejpam-7126	309	89	(	(	PUNCT
ejpam-7126	309	90	0.8,2.0	0.8,2.0	PROPN
ejpam-7126	309	91	)	)	PUNCT
ejpam-7126	309	92	me	i	PRON
ejpam-7126	309	93	1.247	1.247	NUM
ejpam-7126	309	94	1.866	1.866	NUM
ejpam-7126	309	95	1.244	1.244	NUM
ejpam-7126	309	96	1.974	1.974	NUM
ejpam-7126	309	97	1.225	1.225	NUM
ejpam-7126	309	98	1.761	1.761	NUM
ejpam-7126	309	99	mse	mse	NOUN
ejpam-7126	309	100	0.115	0.115	NUM
ejpam-7126	309	101	0.151	0.151	NUM
ejpam-7126	309	102	0.127	0.127	NUM
ejpam-7126	309	103	0.153	0.153	NUM
ejpam-7126	309	104	0.079	0.079	NUM
ejpam-7126	309	105	0.084	0.084	NUM
ejpam-7126	309	106	(	(	PUNCT
ejpam-7126	309	107	25,50,70	25,50,70	NOUN
ejpam-7126	309	108	)	)	PUNCT
ejpam-7126	309	109	(	(	PUNCT
ejpam-7126	309	110	1.2,2.0	1.2,2.0	NUM
ejpam-7126	309	111	)	)	PUNCT
ejpam-7126	309	112	me	i	PRON
ejpam-7126	309	113	1.232	1.232	NUM
ejpam-7126	309	114	1.869	1.869	NUM
ejpam-7126	309	115	1.225	1.225	NUM
ejpam-7126	309	116	1.975	1.975	NUM
ejpam-7126	309	117	1.212	1.212	NUM
ejpam-7126	309	118	1.763	1.763	NUM
ejpam-7126	309	119	mse	mse	NOUN
ejpam-7126	309	120	0.098	0.098	NUM
ejpam-7126	309	121	0.153	0.153	NUM
ejpam-7126	309	122	0.115	0.115	NUM
ejpam-7126	309	123	0.157	0.157	NUM
ejpam-7126	309	124	0.070	0.070	NUM
ejpam-7126	309	125	0.079	0.079	NUM
ejpam-7126	309	126	s.	s.	PROPN
ejpam-7126	309	127	k.	k.	PROPN
ejpam-7126	309	128	badr	badr	PROPN
ejpam-7126	309	129	/	/	SYM
ejpam-7126	309	130	eur	eur	PROPN
ejpam-7126	309	131	.	.	PUNCT
ejpam-7126	310	1	j.	j.	PROPN
ejpam-7126	310	2	pure	pure	PROPN
ejpam-7126	310	3	appl	appl	PROPN
ejpam-7126	310	4	.	.	PROPN
ejpam-7126	310	5	math	math	PROPN
ejpam-7126	310	6	,	,	PUNCT
ejpam-7126	310	7	18	18	NUM
ejpam-7126	310	8	(	(	PUNCT
ejpam-7126	310	9	4	4	NUM
ejpam-7126	310	10	)	)	PUNCT
ejpam-7126	310	11	(	(	PUNCT
ejpam-7126	310	12	2025	2025	NUM
ejpam-7126	310	13	)	)	PUNCT
ejpam-7126	310	14	,	,	PUNCT
ejpam-7126	310	15	7126	7126	NUM
ejpam-7126	310	16	17	17	NUM
ejpam-7126	310	17	of	of	ADP
ejpam-7126	310	18	20	20	NUM
ejpam-7126	310	19	table	table	NOUN
ejpam-7126	310	20	9	9	NUM
ejpam-7126	310	21	.	.	PUNCT
ejpam-7126	310	22	average	average	ADJ
ejpam-7126	310	23	mil	mil	NOUN
ejpam-7126	310	24	and	and	CCONJ
ejpam-7126	310	25	the	the	DET
ejpam-7126	310	26	corresponding	correspond	VERB
ejpam-7126	310	27	pc	pc	NOUN
ejpam-7126	310	28	when	when	SCONJ
ejpam-7126	310	29	β	β	X
ejpam-7126	310	30	=	=	NOUN
ejpam-7126	310	31	1.2	1.2	NUM
ejpam-7126	310	32	and	and	CCONJ
ejpam-7126	310	33	λ	λ	X
ejpam-7126	310	34	=	=	NOUN
ejpam-7126	310	35	1.5	1.5	NUM
ejpam-7126	310	36	.	.	PUNCT
ejpam-7126	311	1	(	(	PUNCT
ejpam-7126	311	2	k	k	X
ejpam-7126	311	3	,	,	PUNCT
ejpam-7126	311	4	m	m	PROPN
ejpam-7126	311	5	,	,	PUNCT
ejpam-7126	311	6	n	n	CCONJ
ejpam-7126	311	7	)	)	PUNCT
ejpam-7126	311	8	(	(	PUNCT
ejpam-7126	311	9	η	η	PROPN
ejpam-7126	311	10	,	,	PUNCT
ejpam-7126	311	11	τ	τ	X
ejpam-7126	311	12	)	)	PUNCT
ejpam-7126	311	13	mle	mle	PROPN
ejpam-7126	311	14	boot	boot	PROPN
ejpam-7126	311	15	-	-	PUNCT
ejpam-7126	311	16	p	p	NOUN
ejpam-7126	311	17	boot	boot	NOUN
ejpam-7126	311	18	-	-	PUNCT
ejpam-7126	311	19	t	t	NOUN
ejpam-7126	311	20	bayes	bayes	PROPN
ejpam-7126	311	21	p1	p1	PROPN
ejpam-7126	311	22	β	β	X
ejpam-7126	311	23	λ	λ	X
ejpam-7126	311	24	β	β	X
ejpam-7126	311	25	λ	λ	X
ejpam-7126	311	26	β	β	X
ejpam-7126	311	27	λ	λ	X
ejpam-7126	311	28	β	β	X
ejpam-7126	311	29	λ	λ	X
ejpam-7126	311	30	(	(	PUNCT
ejpam-7126	311	31	15,20,40	15,20,40	NUM
ejpam-7126	311	32	)	)	PUNCT
ejpam-7126	311	33	(	(	PUNCT
ejpam-7126	311	34	0.8,2.0	0.8,2.0	PROPN
ejpam-7126	311	35	)	)	PUNCT
ejpam-7126	311	36	mil	mil	NOUN
ejpam-7126	311	37	2.147	2.147	NUM
ejpam-7126	311	38	2.894	2.894	NUM
ejpam-7126	311	39	2.165	2.165	NUM
ejpam-7126	311	40	2.899	2.899	NUM
ejpam-7126	311	41	2.132	2.132	NUM
ejpam-7126	311	42	2.855	2.855	NUM
ejpam-7126	311	43	2.102	2.102	NUM
ejpam-7126	311	44	2.812	2.812	NUM
ejpam-7126	311	45	pc	pc	NOUN
ejpam-7126	311	46	0.90	0.90	NUM
ejpam-7126	311	47	0.90	0.90	NUM
ejpam-7126	311	48	0.91	0.91	NUM
ejpam-7126	311	49	0.90	0.90	NUM
ejpam-7126	311	50	0.91	0.91	NUM
ejpam-7126	311	51	0.92	0.92	NUM
ejpam-7126	311	52	0.92	0.92	NUM
ejpam-7126	311	53	0.90	0.90	NUM
ejpam-7126	311	54	(	(	PUNCT
ejpam-7126	311	55	15,20,40	15,20,40	NUM
ejpam-7126	311	56	)	)	PUNCT
ejpam-7126	311	57	(	(	PUNCT
ejpam-7126	311	58	1.2,2.0	1.2,2.0	NUM
ejpam-7126	311	59	)	)	PUNCT
ejpam-7126	311	60	mil	mil	NOUN
ejpam-7126	311	61	2.122	2.122	NUM
ejpam-7126	311	62	2.899	2.899	NUM
ejpam-7126	311	63	2.142	2.142	NUM
ejpam-7126	311	64	2.915	2.915	NUM
ejpam-7126	311	65	2.112	2.112	NUM
ejpam-7126	311	66	2.866	2.866	NUM
ejpam-7126	311	67	2.055	2.055	NUM
ejpam-7126	311	68	2.817	2.817	NUM
ejpam-7126	311	69	pc	pc	NOUN
ejpam-7126	311	70	0.91	0.91	NUM
ejpam-7126	311	71	0.91	0.91	NUM
ejpam-7126	311	72	0.92	0.92	NUM
ejpam-7126	311	73	0.91	0.91	NUM
ejpam-7126	311	74	0.91	0.91	NUM
ejpam-7126	311	75	0.91	0.91	NUM
ejpam-7126	311	76	0.93	0.93	NUM
ejpam-7126	311	77	0.92	0.92	NUM
ejpam-7126	311	78	(	(	PUNCT
ejpam-7126	311	79	15,30,40	15,30,40	NUM
ejpam-7126	311	80	)	)	PUNCT
ejpam-7126	311	81	(	(	PUNCT
ejpam-7126	311	82	0.8,2.0	0.8,2.0	PROPN
ejpam-7126	311	83	)	)	PUNCT
ejpam-7126	311	84	mil	mil	NOUN
ejpam-7126	311	85	2.102	2.102	NUM
ejpam-7126	311	86	2.842	2.842	NUM
ejpam-7126	311	87	2.122	2.122	NUM
ejpam-7126	311	88	2.877	2.877	NUM
ejpam-7126	311	89	2.055	2.055	NUM
ejpam-7126	311	90	2.814	2.814	NUM
ejpam-7126	311	91	2.001	2.001	NUM
ejpam-7126	311	92	2.750	2.750	NUM
ejpam-7126	311	93	pc	pc	NOUN
ejpam-7126	311	94	0.93	0.93	NUM
ejpam-7126	311	95	0.93	0.93	NUM
ejpam-7126	311	96	0.90	0.90	NUM
ejpam-7126	311	97	0.93	0.93	NUM
ejpam-7126	311	98	0.96	0.96	NUM
ejpam-7126	311	99	0.93	0.93	NUM
ejpam-7126	311	100	0.94	0.94	NUM
ejpam-7126	311	101	0.94	0.94	NUM
ejpam-7126	311	102	(	(	PUNCT
ejpam-7126	311	103	15,30,30	15,30,30	NUM
ejpam-7126	311	104	)	)	PUNCT
ejpam-7126	311	105	(	(	PUNCT
ejpam-7126	311	106	1.2,2.0	1.2,2.0	NUM
ejpam-7126	311	107	)	)	PUNCT
ejpam-7126	311	108	mil	mil	NOUN
ejpam-7126	311	109	2.072	2.072	NUM
ejpam-7126	311	110	2.851	2.851	NUM
ejpam-7126	311	111	2.100	2.100	NUM
ejpam-7126	311	112	2.884	2.884	NUM
ejpam-7126	311	113	2.033	2.033	NUM
ejpam-7126	311	114	2.821	2.821	NUM
ejpam-7126	311	115	1.982	1.982	NUM
ejpam-7126	311	116	2.754	2.754	NUM
ejpam-7126	311	117	pc	pc	NOUN
ejpam-7126	311	118	0.92	0.92	NUM
ejpam-7126	311	119	0.92	0.92	NUM
ejpam-7126	311	120	0.93	0.93	NUM
ejpam-7126	311	121	0.91	0.91	NUM
ejpam-7126	311	122	0.92	0.92	NUM
ejpam-7126	311	123	0.91	0.91	NUM
ejpam-7126	311	124	0.93	0.93	NUM
ejpam-7126	311	125	0.95	0.95	NUM
ejpam-7126	311	126	(	(	PUNCT
ejpam-7126	311	127	25,35,70	25,35,70	NUM
ejpam-7126	311	128	)	)	PUNCT
ejpam-7126	311	129	(	(	PUNCT
ejpam-7126	311	130	0.8,2.0	0.8,2.0	PROPN
ejpam-7126	311	131	)	)	PUNCT
ejpam-7126	311	132	mil	mil	NOUN
ejpam-7126	311	133	2.025	2.025	NUM
ejpam-7126	311	134	2.795	2.795	NUM
ejpam-7126	311	135	2.027	2.027	NUM
ejpam-7126	311	136	2.825	2.825	NUM
ejpam-7126	311	137	2.001	2.001	NUM
ejpam-7126	311	138	2.785	2.785	NUM
ejpam-7126	311	139	1.954	1.954	NUM
ejpam-7126	311	140	2.689	2.689	NUM
ejpam-7126	311	141	pc	pc	NOUN
ejpam-7126	311	142	0.93	0.93	NUM
ejpam-7126	311	143	0.90	0.90	NUM
ejpam-7126	311	144	0.94	0.94	NUM
ejpam-7126	311	145	0.94	0.94	NUM
ejpam-7126	311	146	0.96	0.96	NUM
ejpam-7126	311	147	0.93	0.93	NUM
ejpam-7126	311	148	0.94	0.94	NUM
ejpam-7126	311	149	0.93	0.93	NUM
ejpam-7126	311	150	(	(	PUNCT
ejpam-7126	311	151	25,35,70	25,35,70	NUM
ejpam-7126	311	152	)	)	PUNCT
ejpam-7126	311	153	(	(	PUNCT
ejpam-7126	311	154	1.2,2.0	1.2,2.0	NUM
ejpam-7126	311	155	)	)	PUNCT
ejpam-7126	311	156	mil	mil	NOUN
ejpam-7126	311	157	2.002	2.002	NUM
ejpam-7126	311	158	2.797	2.797	NUM
ejpam-7126	311	159	2.001	2.001	NUM
ejpam-7126	311	160	2.831	2.831	NUM
ejpam-7126	311	161	1.975	1.975	NUM
ejpam-7126	311	162	2.789	2.789	NUM
ejpam-7126	311	163	1.932	1.932	NUM
ejpam-7126	311	164	2.691	2.691	NUM
ejpam-7126	311	165	pc	pc	NOUN
ejpam-7126	311	166	0.91	0.91	NUM
ejpam-7126	311	167	0.93	0.93	NUM
ejpam-7126	311	168	0.93	0.93	NUM
ejpam-7126	311	169	0.92	0.92	NUM
ejpam-7126	311	170	0.92	0.92	NUM
ejpam-7126	311	171	0.92	0.92	NUM
ejpam-7126	311	172	0.97	0.97	NUM
ejpam-7126	311	173	0.91	0.91	NUM
ejpam-7126	311	174	(	(	PUNCT
ejpam-7126	311	175	25,50,70	25,50,70	NOUN
ejpam-7126	311	176	)	)	PUNCT
ejpam-7126	311	177	(	(	PUNCT
ejpam-7126	311	178	0.8,2.0	0.8,2.0	PROPN
ejpam-7126	311	179	)	)	PUNCT
ejpam-7126	311	180	mil	mil	NOUN
ejpam-7126	311	181	1.952	1.952	NUM
ejpam-7126	311	182	2.735	2.735	NUM
ejpam-7126	311	183	1.945	1.945	NUM
ejpam-7126	311	184	2.715	2.715	NUM
ejpam-7126	311	185	1.912	1.912	NUM
ejpam-7126	311	186	2.704	2.704	NUM
ejpam-7126	311	187	1.854	1.854	NUM
ejpam-7126	311	188	2.625	2.625	NUM
ejpam-7126	311	189	pc	pc	NOUN
ejpam-7126	311	190	0.94	0.94	NUM
ejpam-7126	311	191	0.92	0.92	NUM
ejpam-7126	311	192	0.92	0.92	NUM
ejpam-7126	311	193	0.94	0.94	NUM
ejpam-7126	311	194	0.94	0.94	NUM
ejpam-7126	311	195	0.95	0.95	NUM
ejpam-7126	311	196	0.93	0.93	NUM
ejpam-7126	311	197	0.94	0.94	NUM
ejpam-7126	311	198	(	(	PUNCT
ejpam-7126	311	199	25,50,70	25,50,70	NOUN
ejpam-7126	311	200	)	)	PUNCT
ejpam-7126	311	201	(	(	PUNCT
ejpam-7126	311	202	1.2,2.0	1.2,2.0	NUM
ejpam-7126	311	203	)	)	PUNCT
ejpam-7126	311	204	mil	mil	NOUN
ejpam-7126	311	205	1.924	1.924	NUM
ejpam-7126	311	206	2.741	2.741	NUM
ejpam-7126	311	207	1.931	1.931	NUM
ejpam-7126	311	208	2.722	2.722	NUM
ejpam-7126	311	209	1.900	1.900	NUM
ejpam-7126	311	210	2.713	2.713	NUM
ejpam-7126	311	211	1.832	1.832	NUM
ejpam-7126	311	212	2.631	2.631	NUM
ejpam-7126	311	213	pc	pc	NOUN
ejpam-7126	311	214	0.92	0.92	NUM
ejpam-7126	311	215	0.93	0.93	NUM
ejpam-7126	311	216	0.96	0.96	NUM
ejpam-7126	311	217	0.93	0.93	NUM
ejpam-7126	311	218	0.94	0.94	NUM
ejpam-7126	311	219	0.92	0.92	NUM
ejpam-7126	311	220	0.95	0.95	NUM
ejpam-7126	311	221	0.96	0.96	NUM
ejpam-7126	311	222	5.3	5.3	NUM
ejpam-7126	311	223	.	.	PUNCT
ejpam-7126	312	1	numerical	numerical	ADJ
ejpam-7126	312	2	discussion	discussion	NOUN
ejpam-7126	312	3	from	from	ADP
ejpam-7126	312	4	the	the	DET
ejpam-7126	312	5	numerical	numerical	ADJ
ejpam-7126	312	6	results	result	NOUN
ejpam-7126	312	7	presented	present	VERB
ejpam-7126	312	8	in	in	ADP
ejpam-7126	312	9	the	the	DET
ejpam-7126	312	10	data	datum	NOUN
ejpam-7126	312	11	analysis	analysis	NOUN
ejpam-7126	312	12	and	and	CCONJ
ejpam-7126	312	13	the	the	DET
ejpam-7126	312	14	monte	monte	PROPN
ejpam-7126	312	15	carlo	carlo	PROPN
ejpam-7126	312	16	simulation	simulation	PROPN
ejpam-7126	312	17	study	study	PROPN
ejpam-7126	312	18	observe	observe	VERB
ejpam-7126	312	19	some	some	DET
ejpam-7126	312	20	points	point	NOUN
ejpam-7126	312	21	are	be	AUX
ejpam-7126	312	22	reported	report	VERB
ejpam-7126	312	23	as	as	SCONJ
ejpam-7126	312	24	follows	follow	VERB
ejpam-7126	312	25	1	1	NUM
ejpam-7126	312	26	in	in	ADP
ejpam-7126	312	27	two	two	NUM
ejpam-7126	312	28	real	real	ADJ
ejpam-7126	312	29	example	example	NOUN
ejpam-7126	312	30	,	,	PUNCT
ejpam-7126	312	31	the	the	DET
ejpam-7126	312	32	results	result	NOUN
ejpam-7126	312	33	are	be	AUX
ejpam-7126	312	34	formulated	formulate	VERB
ejpam-7126	312	35	under	under	ADP
ejpam-7126	312	36	a	a	DET
ejpam-7126	312	37	non	non	ADJ
ejpam-7126	312	38	-	-	ADJ
ejpam-7126	312	39	informative	informative	ADJ
ejpam-7126	312	40	prior	prior	ADJ
ejpam-7126	312	41	distribution	distribution	NOUN
ejpam-7126	312	42	.	.	PUNCT
ejpam-7126	313	1	therefore	therefore	ADV
ejpam-7126	313	2	,	,	PUNCT
ejpam-7126	313	3	the	the	DET
ejpam-7126	313	4	results	result	NOUN
ejpam-7126	313	5	of	of	ADP
ejpam-7126	313	6	ml	ml	NOUN
ejpam-7126	313	7	and	and	CCONJ
ejpam-7126	313	8	bayes	bayes	PROPN
ejpam-7126	313	9	estimates	estimate	NOUN
ejpam-7126	313	10	are	be	AUX
ejpam-7126	313	11	closed	closed	ADJ
ejpam-7126	313	12	.	.	PUNCT
ejpam-7126	314	1	2figures	2figure	NOUN
ejpam-7126	314	2	from	from	ADP
ejpam-7126	314	3	(	(	PUNCT
ejpam-7126	314	4	4	4	NUM
ejpam-7126	314	5	)	)	PUNCT
ejpam-7126	314	6	to	to	ADP
ejpam-7126	314	7	(	(	PUNCT
ejpam-7126	314	8	7	7	X
ejpam-7126	314	9	)	)	PUNCT
ejpam-7126	314	10	show	show	VERB
ejpam-7126	314	11	the	the	DET
ejpam-7126	314	12	convergence	convergence	NOUN
ejpam-7126	314	13	happening	happen	VERB
ejpam-7126	314	14	in	in	ADP
ejpam-7126	314	15	mcmc	mcmc	PROPN
ejpam-7126	314	16	.	.	PUNCT
ejpam-7126	315	1	3all	3all	NUM
ejpam-7126	315	2	results	result	NOUN
ejpam-7126	315	3	of	of	ADP
ejpam-7126	315	4	point	point	NOUN
ejpam-7126	315	5	and	and	CCONJ
ejpam-7126	315	6	interval	interval	NOUN
ejpam-7126	315	7	estimation	estimation	NOUN
ejpam-7126	315	8	serve	serve	VERB
ejpam-7126	315	9	well	well	ADV
ejpam-7126	315	10	for	for	ADP
ejpam-7126	315	11	the	the	DET
ejpam-7126	315	12	larger	large	ADJ
ejpam-7126	315	13	ideal	ideal	ADJ
ejpam-7126	315	14	test	test	NOUN
ejpam-7126	315	15	time	time	NOUN
ejpam-7126	315	16	and	and	CCONJ
ejpam-7126	315	17	larger	large	ADJ
ejpam-7126	315	18	sample	sample	NOUN
ejpam-7126	315	19	size	size	NOUN
ejpam-7126	315	20	.	.	PUNCT
ejpam-7126	316	1	4the	4the	NUM
ejpam-7126	316	2	results	result	NOUN
ejpam-7126	316	3	for	for	ADP
ejpam-7126	316	4	the	the	DET
ejpam-7126	316	5	boot	boot	NOUN
ejpam-7126	316	6	-	-	PUNCT
ejpam-7126	316	7	t	t	NOUN
ejpam-7126	316	8	confidence	confidence	NOUN
ejpam-7126	316	9	interval	interval	NOUN
ejpam-7126	316	10	estimate	estimate	NOUN
ejpam-7126	316	11	is	be	AUX
ejpam-7126	316	12	best	good	ADJ
ejpam-7126	316	13	than	than	ADP
ejpam-7126	316	14	ml	ml	NOUN
ejpam-7126	316	15	and	and	CCONJ
ejpam-7126	316	16	boot	boot	NOUN
ejpam-7126	316	17	-	-	PUNCT
ejpam-7126	316	18	p	p	NOUN
ejpam-7126	316	19	confidence	confidence	NOUN
ejpam-7126	316	20	interval	interval	NOUN
ejpam-7126	316	21	.	.	PUNCT
ejpam-7126	317	1	5the	5the	PRON
ejpam-7126	317	2	values	value	NOUN
ejpam-7126	317	3	of	of	ADP
ejpam-7126	317	4	mses	ms	NOUN
ejpam-7126	317	5	are	be	AUX
ejpam-7126	317	6	reducing	reduce	VERB
ejpam-7126	317	7	for	for	ADP
ejpam-7126	317	8	increasing	increase	VERB
ejpam-7126	317	9	value	value	NOUN
ejpam-7126	317	10	of	of	ADP
ejpam-7126	317	11	sample	sample	NOUN
ejpam-7126	317	12	size	size	NOUN
ejpam-7126	317	13	and	and	CCONJ
ejpam-7126	317	14	effective	effective	ADJ
ejpam-7126	317	15	sample	sample	NOUN
ejpam-7126	317	16	size	size	NOUN
ejpam-7126	317	17	.	.	PUNCT
ejpam-7126	318	1	6for	6for	ADP
ejpam-7126	318	2	point	point	NOUN
ejpam-7126	318	3	estimate	estimate	NOUN
ejpam-7126	318	4	informative	informative	ADJ
ejpam-7126	318	5	bayes	bayes	NOUN
ejpam-7126	318	6	estimate	estimate	VERB
ejpam-7126	318	7	is	be	AUX
ejpam-7126	318	8	better	well	ADJ
ejpam-7126	318	9	than	than	ADP
ejpam-7126	318	10	ml	ml	NOUN
ejpam-7126	318	11	and	and	CCONJ
ejpam-7126	318	12	the	the	DET
ejpam-7126	318	13	non	non	ADJ
ejpam-7126	318	14	-	-	ADJ
ejpam-7126	318	15	informative	informative	ADJ
ejpam-7126	318	16	bayes	bayes	NOUN
ejpam-7126	318	17	estimate	estimate	NOUN
ejpam-7126	318	18	.	.	PUNCT
ejpam-7126	319	1	7for	7for	NUM
ejpam-7126	319	2	interval	interval	NOUN
ejpam-7126	319	3	estimate	estimate	NOUN
ejpam-7126	319	4	,	,	PUNCT
ejpam-7126	319	5	informative	informative	ADJ
ejpam-7126	319	6	bayes	bayes	NOUN
ejpam-7126	319	7	and	and	CCONJ
ejpam-7126	319	8	bootstrap	bootstrap	NOUN
ejpam-7126	319	9	-	-	PUNCT
ejpam-7126	319	10	t	t	NOUN
ejpam-7126	319	11	serve	serve	VERB
ejpam-7126	319	12	well	well	ADV
ejpam-7126	319	13	than	than	ADP
ejpam-7126	319	14	ml	ml	NOUN
ejpam-7126	319	15	and	and	CCONJ
ejpam-7126	319	16	bootp	bootp	ADJ
ejpam-7126	319	17	.	.	PUNCT
ejpam-7126	320	1	the	the	DET
ejpam-7126	320	2	results	result	NOUN
ejpam-7126	320	3	more	more	ADV
ejpam-7126	320	4	suitable	suitable	ADJ
ejpam-7126	320	5	for	for	ADP
ejpam-7126	320	6	large	large	ADJ
ejpam-7126	320	7	value	value	NOUN
ejpam-7126	320	8	of	of	ADP
ejpam-7126	320	9	τ	τ	PROPN
ejpam-7126	320	10	.	.	PUNCT
ejpam-7126	321	1	s.	s.	PROPN
ejpam-7126	321	2	k.	k.	PROPN
ejpam-7126	321	3	badr	badr	PROPN
ejpam-7126	321	4	/	/	SYM
ejpam-7126	321	5	eur	eur	PROPN
ejpam-7126	321	6	.	.	PUNCT
ejpam-7126	322	1	j.	j.	PROPN
ejpam-7126	322	2	pure	pure	PROPN
ejpam-7126	322	3	appl	appl	PROPN
ejpam-7126	322	4	.	.	PROPN
ejpam-7126	322	5	math	math	PROPN
ejpam-7126	322	6	,	,	PUNCT
ejpam-7126	322	7	18	18	NUM
ejpam-7126	322	8	(	(	PUNCT
ejpam-7126	322	9	4	4	NUM
ejpam-7126	322	10	)	)	PUNCT
ejpam-7126	322	11	(	(	PUNCT
ejpam-7126	322	12	2025	2025	NUM
ejpam-7126	322	13	)	)	PUNCT
ejpam-7126	322	14	,	,	PUNCT
ejpam-7126	322	15	7126	7126	NUM
ejpam-7126	322	16	18	18	NUM
ejpam-7126	322	17	of	of	ADP
ejpam-7126	322	18	20	20	NUM
ejpam-7126	322	19	6	6	NUM
ejpam-7126	322	20	.	.	PUNCT
ejpam-7126	323	1	conclusions	conclusion	NOUN
ejpam-7126	323	2	in	in	ADP
ejpam-7126	323	3	life	life	NOUN
ejpam-7126	323	4	-	-	PUNCT
ejpam-7126	323	5	testing	testing	NOUN
ejpam-7126	323	6	experiment	experiment	NOUN
ejpam-7126	323	7	and	and	CCONJ
ejpam-7126	323	8	reliability	reliability	NOUN
ejpam-7126	323	9	studying	study	VERB
ejpam-7126	323	10	under	under	ADP
ejpam-7126	323	11	cost	cost	NOUN
ejpam-7126	323	12	and	and	CCONJ
ejpam-7126	323	13	time	time	NOUN
ejpam-7126	323	14	consideration	consideration	NOUN
ejpam-7126	323	15	may	may	AUX
ejpam-7126	323	16	be	be	AUX
ejpam-7126	323	17	need	need	VERB
ejpam-7126	323	18	form	form	NOUN
ejpam-7126	323	19	some	some	DET
ejpam-7126	323	20	not	not	PART
ejpam-7126	323	21	complete	complete	ADJ
ejpam-7126	323	22	information	information	NOUN
ejpam-7126	323	23	on	on	ADP
ejpam-7126	323	24	failure	failure	NOUN
ejpam-7126	323	25	times	time	NOUN
ejpam-7126	323	26	.	.	PUNCT
ejpam-7126	324	1	in	in	ADP
ejpam-7126	324	2	this	this	DET
ejpam-7126	324	3	paper	paper	NOUN
ejpam-7126	324	4	,	,	PUNCT
ejpam-7126	324	5	we	we	PRON
ejpam-7126	324	6	consider	consider	VERB
ejpam-7126	324	7	i	i	PRON
ejpam-7126	324	8	d	d	PROPN
ejpam-7126	324	9	which	which	PRON
ejpam-7126	324	10	has	have	VERB
ejpam-7126	324	11	several	several	ADJ
ejpam-7126	324	12	application	application	NOUN
ejpam-7126	324	13	in	in	ADP
ejpam-7126	324	14	biomedical	biomedical	ADJ
ejpam-7126	324	15	science	science	NOUN
ejpam-7126	324	16	and	and	CCONJ
ejpam-7126	324	17	engineering	engineering	NOUN
ejpam-7126	324	18	lifetime	lifetime	NOUN
ejpam-7126	324	19	data	datum	NOUN
ejpam-7126	324	20	.	.	PUNCT
ejpam-7126	325	1	type	type	NOUN
ejpam-7126	325	2	-	-	PUNCT
ejpam-7126	325	3	i	i	PRON
ejpam-7126	325	4	ghcs	ghcs	VERB
ejpam-7126	325	5	with	with	ADP
ejpam-7126	325	6	partially	partially	ADV
ejpam-7126	325	7	step	step	NOUN
ejpam-7126	325	8	-	-	PUNCT
ejpam-7126	325	9	stress	stress	NOUN
ejpam-7126	325	10	accelerated	accelerate	VERB
ejpam-7126	325	11	life	life	NOUN
ejpam-7126	325	12	tests	test	NOUN
ejpam-7126	325	13	model	model	NOUN
ejpam-7126	325	14	was	be	AUX
ejpam-7126	325	15	considered	consider	VERB
ejpam-7126	325	16	.	.	PUNCT
ejpam-7126	326	1	also	also	ADV
ejpam-7126	326	2	,	,	PUNCT
ejpam-7126	326	3	the	the	DET
ejpam-7126	326	4	conventional	conventional	ADJ
ejpam-7126	326	5	of	of	ADP
ejpam-7126	326	6	type	type	NOUN
ejpam-7126	326	7	-	-	PUNCT
ejpam-7126	326	8	i	i	PRON
ejpam-7126	326	9	generalized	generalize	VERB
ejpam-7126	326	10	hybrid	hybrid	ADJ
ejpam-7126	326	11	censoring	censor	VERB
ejpam-7126	326	12	scheme	scheme	NOUN
ejpam-7126	326	13	for	for	ADP
ejpam-7126	326	14	saving	save	VERB
ejpam-7126	326	15	times	time	NOUN
ejpam-7126	326	16	and	and	CCONJ
ejpam-7126	326	17	cost	cost	VERB
ejpam-7126	326	18	inducing	induce	VERB
ejpam-7126	326	19	by	by	ADP
ejpam-7126	326	20	units	unit	NOUN
ejpam-7126	326	21	.	.	PUNCT
ejpam-7126	327	1	we	we	PRON
ejpam-7126	327	2	examined	examine	VERB
ejpam-7126	327	3	the	the	DET
ejpam-7126	327	4	results	result	NOUN
ejpam-7126	327	5	under	under	ADP
ejpam-7126	327	6	real	real	ADJ
ejpam-7126	327	7	data	datum	NOUN
ejpam-7126	327	8	analysis	analysis	NOUN
ejpam-7126	327	9	and	and	CCONJ
ejpam-7126	327	10	simulation	simulation	NOUN
ejpam-7126	327	11	study	study	NOUN
ejpam-7126	327	12	.	.	PUNCT
ejpam-7126	328	1	the	the	DET
ejpam-7126	328	2	results	result	NOUN
ejpam-7126	328	3	obtained	obtain	VERB
ejpam-7126	328	4	in	in	ADP
ejpam-7126	328	5	this	this	DET
ejpam-7126	328	6	paper	paper	NOUN
ejpam-7126	328	7	can	can	AUX
ejpam-7126	328	8	be	be	AUX
ejpam-7126	328	9	developed	develop	VERB
ejpam-7126	328	10	for	for	ADP
ejpam-7126	328	11	any	any	DET
ejpam-7126	328	12	model	model	NOUN
ejpam-7126	328	13	extension	extension	NOUN
ejpam-7126	328	14	of	of	ADP
ejpam-7126	328	15	competing	compete	VERB
ejpam-7126	328	16	risks	risk	NOUN
ejpam-7126	328	17	model	model	NOUN
ejpam-7126	328	18	from	from	ADP
ejpam-7126	328	19	this	this	DET
ejpam-7126	328	20	model	model	NOUN
ejpam-7126	328	21	references	reference	NOUN
ejpam-7126	328	22	[	[	X
ejpam-7126	328	23	1	1	NUM
ejpam-7126	328	24	]	]	X
ejpam-7126	328	25	d.	d.	PROPN
ejpam-7126	328	26	v.	v.	PROPN
ejpam-7126	328	27	lindley	lindley	PROPN
ejpam-7126	328	28	.	.	PUNCT
ejpam-7126	329	1	fiducial	fiducial	ADJ
ejpam-7126	329	2	distributions	distribution	NOUN
ejpam-7126	329	3	and	and	CCONJ
ejpam-7126	329	4	bayes	bayes	PROPN
ejpam-7126	329	5	’	'	PUNCT
ejpam-7126	329	6	theorem	theorem	PROPN
ejpam-7126	329	7	.	.	PROPN
ejpam-7126	329	8	journal	journal	PROPN
ejpam-7126	329	9	of	of	ADP
ejpam-7126	329	10	the	the	DET
ejpam-7126	329	11	royal	royal	ADJ
ejpam-7126	329	12	statistical	statistical	ADJ
ejpam-7126	329	13	society	society	NOUN
ejpam-7126	329	14	,	,	PUNCT
ejpam-7126	329	15	20:102–107	20:102–107	PROPN
ejpam-7126	329	16	,	,	PUNCT
ejpam-7126	329	17	1958	1958	NUM
ejpam-7126	329	18	.	.	PUNCT
ejpam-7126	330	1	[	[	X
ejpam-7126	330	2	2	2	NUM
ejpam-7126	330	3	]	]	X
ejpam-7126	330	4	r.	r.	PROPN
ejpam-7126	330	5	shanker	shanker	PROPN
ejpam-7126	330	6	,	,	PUNCT
ejpam-7126	330	7	f.	f.	PROPN
ejpam-7126	330	8	hagos	hagos	PROPN
ejpam-7126	330	9	,	,	PUNCT
ejpam-7126	330	10	and	and	CCONJ
ejpam-7126	330	11	s.	s.	PROPN
ejpam-7126	330	12	sujatha	sujatha	PROPN
ejpam-7126	330	13	.	.	PUNCT
ejpam-7126	331	1	on	on	ADP
ejpam-7126	331	2	modeling	modeling	NOUN
ejpam-7126	331	3	of	of	ADP
ejpam-7126	331	4	lifetimes	lifetime	NOUN
ejpam-7126	331	5	data	datum	NOUN
ejpam-7126	331	6	using	use	VERB
ejpam-7126	331	7	exponential	exponential	ADJ
ejpam-7126	331	8	and	and	CCONJ
ejpam-7126	331	9	lindley	lindley	NOUN
ejpam-7126	331	10	distributions	distribution	NOUN
ejpam-7126	331	11	.	.	PUNCT
ejpam-7126	332	1	biostatistics	biostatistics	PROPN
ejpam-7126	332	2	international	international	PROPN
ejpam-7126	332	3	journal	journal	PROPN
ejpam-7126	332	4	,	,	PUNCT
ejpam-7126	332	5	5:1–9	5:1–9	NUM
ejpam-7126	332	6	,	,	PUNCT
ejpam-7126	332	7	2015	2015	NUM
ejpam-7126	332	8	.	.	PUNCT
ejpam-7126	333	1	[	[	X
ejpam-7126	333	2	3	3	X
ejpam-7126	333	3	]	]	X
ejpam-7126	333	4	r.	r.	PROPN
ejpam-7126	333	5	shanker	shanker	PROPN
ejpam-7126	333	6	and	and	CCONJ
ejpam-7126	333	7	k.	k.	PROPN
ejpam-7126	333	8	k.	k.	PROPN
ejpam-7126	333	9	shukla	shukla	PROPN
ejpam-7126	333	10	.	.	PUNCT
ejpam-7126	334	1	ishita	ishita	VERB
ejpam-7126	334	2	distribution	distribution	NOUN
ejpam-7126	334	3	and	and	CCONJ
ejpam-7126	334	4	its	its	PRON
ejpam-7126	334	5	applications	application	NOUN
ejpam-7126	334	6	.	.	PUNCT
ejpam-7126	335	1	biometrics	biometrics	PROPN
ejpam-7126	335	2	&	&	CCONJ
ejpam-7126	335	3	biostatistics	biostatistics	PROPN
ejpam-7126	335	4	international	international	PROPN
ejpam-7126	335	5	journal	journal	PROPN
ejpam-7126	335	6	,	,	PUNCT
ejpam-7126	335	7	5:39–46	5:39–46	NUM
ejpam-7126	335	8	,	,	PUNCT
ejpam-7126	335	9	2017	2017	NUM
ejpam-7126	335	10	.	.	PUNCT
ejpam-7126	336	1	[	[	X
ejpam-7126	336	2	4	4	X
ejpam-7126	336	3	]	]	PUNCT
ejpam-7126	336	4	k.	k.	PROPN
ejpam-7126	336	5	k.	k.	PROPN
ejpam-7126	336	6	shukla	shukla	PROPN
ejpam-7126	336	7	and	and	CCONJ
ejpam-7126	336	8	r.	r.	PROPN
ejpam-7126	336	9	shanker	shanker	PROPN
ejpam-7126	336	10	.	.	PUNCT
ejpam-7126	337	1	a	a	DET
ejpam-7126	337	2	simulation	simulation	NOUN
ejpam-7126	337	3	study	study	NOUN
ejpam-7126	337	4	on	on	ADP
ejpam-7126	337	5	ishita	ishita	ADJ
ejpam-7126	337	6	distribution	distribution	NOUN
ejpam-7126	337	7	.	.	PUNCT
ejpam-7126	338	1	biometrics	biometrics	PROPN
ejpam-7126	338	2	&	&	CCONJ
ejpam-7126	338	3	biostatistics	biostatistics	PROPN
ejpam-7126	338	4	international	international	PROPN
ejpam-7126	338	5	journal	journal	PROPN
ejpam-7126	338	6	,	,	PUNCT
ejpam-7126	338	7	6:381–386	6:381–386	NUM
ejpam-7126	338	8	,	,	PUNCT
ejpam-7126	338	9	2017	2017	NUM
ejpam-7126	338	10	.	.	PUNCT
ejpam-7126	339	1	[	[	X
ejpam-7126	339	2	5	5	NUM
ejpam-7126	339	3	]	]	PUNCT
ejpam-7126	339	4	a.	a.	PROPN
ejpam-7126	339	5	d.	d.	PROPN
ejpam-7126	339	6	al	al	PROPN
ejpam-7126	339	7	-	-	PUNCT
ejpam-7126	339	8	nasser	nasser	PROPN
ejpam-7126	339	9	,	,	PUNCT
ejpam-7126	339	10	a.	a.	PROPN
ejpam-7126	339	11	i.	i.	PROPN
ejpam-7126	339	12	al	al	PROPN
ejpam-7126	339	13	-	-	PUNCT
ejpam-7126	339	14	omari	omari	PROPN
ejpam-7126	339	15	,	,	PUNCT
ejpam-7126	339	16	a.	a.	PROPN
ejpam-7126	339	17	bani	bani	PROPN
ejpam-7126	339	18	-	-	PUNCT
ejpam-7126	339	19	mustafa	mustafa	PROPN
ejpam-7126	339	20	,	,	PUNCT
ejpam-7126	339	21	and	and	CCONJ
ejpam-7126	339	22	k.	k.	PROPN
ejpam-7126	339	23	jaber	jaber	PROPN
ejpam-7126	339	24	.	.	PUNCT
ejpam-7126	340	1	developing	develop	VERB
ejpam-7126	340	2	singleacceptance	singleacceptance	ADP
ejpam-7126	340	3	sampling	sample	VERB
ejpam-7126	340	4	plans	plan	NOUN
ejpam-7126	340	5	based	base	VERB
ejpam-7126	340	6	on	on	ADP
ejpam-7126	340	7	a	a	DET
ejpam-7126	340	8	truncated	truncate	VERB
ejpam-7126	340	9	lifetime	lifetime	NOUN
ejpam-7126	340	10	test	test	NOUN
ejpam-7126	340	11	for	for	ADP
ejpam-7126	340	12	an	an	DET
ejpam-7126	340	13	ishita	ishita	ADJ
ejpam-7126	340	14	distribution	distribution	NOUN
ejpam-7126	340	15	.	.	PUNCT
ejpam-7126	341	1	statistics	statistic	NOUN
ejpam-7126	341	2	in	in	ADP
ejpam-7126	341	3	transition	transition	NOUN
ejpam-7126	341	4	new	new	ADJ
ejpam-7126	341	5	series	series	NOUN
ejpam-7126	341	6	,	,	PUNCT
ejpam-7126	341	7	19:393–406	19:393–406	NUM
ejpam-7126	341	8	,	,	PUNCT
ejpam-7126	341	9	2018	2018	NUM
ejpam-7126	341	10	.	.	PUNCT
ejpam-7126	342	1	[	[	X
ejpam-7126	342	2	6	6	NUM
ejpam-7126	342	3	]	]	PUNCT
ejpam-7126	342	4	h.	h.	PROPN
ejpam-7126	342	5	anwar	anwar	PROPN
ejpam-7126	342	6	,	,	PUNCT
ejpam-7126	342	7	s.	s.	PROPN
ejpam-7126	342	8	a.	a.	PROPN
ejpam-7126	342	9	dar	dar	PROPN
ejpam-7126	342	10	,	,	PUNCT
ejpam-7126	342	11	and	and	CCONJ
ejpam-7126	343	1	p.	p.	PROPN
ejpam-7126	343	2	b.	b.	PROPN
ejpam-7126	344	1	ahmad	ahmad	PROPN
ejpam-7126	344	2	.	.	PUNCT
ejpam-7126	345	1	poisson	poisson	PROPN
ejpam-7126	345	2	ishita	ishita	VERB
ejpam-7126	345	3	distribution	distribution	NOUN
ejpam-7126	345	4	:	:	PUNCT
ejpam-7126	345	5	a	a	DET
ejpam-7126	345	6	new	new	ADJ
ejpam-7126	345	7	compounding	compounding	NOUN
ejpam-7126	345	8	probability	probability	NOUN
ejpam-7126	345	9	model	model	NOUN
ejpam-7126	345	10	.	.	PUNCT
ejpam-7126	346	1	iosr	iosr	ADJ
ejpam-7126	346	2	journal	journal	PROPN
ejpam-7126	346	3	of	of	ADP
ejpam-7126	346	4	engineering	engineering	NOUN
ejpam-7126	346	5	,	,	PUNCT
ejpam-7126	346	6	9:38–46	9:38–46	NUM
ejpam-7126	346	7	,	,	PUNCT
ejpam-7126	346	8	2019	2019	NUM
ejpam-7126	346	9	.	.	PUNCT
ejpam-7126	347	1	[	[	X
ejpam-7126	347	2	7	7	X
ejpam-7126	347	3	]	]	PUNCT
ejpam-7126	347	4	a.	a.	NOUN
ejpam-7126	347	5	i.	i.	PROPN
ejpam-7126	347	6	al	al	PROPN
ejpam-7126	347	7	-	-	PUNCT
ejpam-7126	347	8	omari	omari	PROPN
ejpam-7126	347	9	,	,	PUNCT
ejpam-7126	347	10	a.	a.	PROPN
ejpam-7126	347	11	d.	d.	PROPN
ejpam-7126	347	12	al	al	PROPN
ejpam-7126	347	13	-	-	PUNCT
ejpam-7126	347	14	nasser	nasser	PROPN
ejpam-7126	347	15	,	,	PUNCT
ejpam-7126	347	16	and	and	CCONJ
ejpam-7126	347	17	e.	e.	PROPN
ejpam-7126	347	18	iavolino	iavolino	PROPN
ejpam-7126	347	19	.	.	PUNCT
ejpam-7126	348	1	a	a	DET
ejpam-7126	348	2	size	size	NOUN
ejpam-7126	348	3	-	-	PUNCT
ejpam-7126	348	4	biased	bias	VERB
ejpam-7126	348	5	ishita	ishita	NOUN
ejpam-7126	348	6	distribution	distribution	NOUN
ejpam-7126	348	7	and	and	CCONJ
ejpam-7126	348	8	application	application	NOUN
ejpam-7126	348	9	to	to	ADP
ejpam-7126	348	10	real	real	ADJ
ejpam-7126	348	11	data	datum	NOUN
ejpam-7126	348	12	.	.	PUNCT
ejpam-7126	349	1	quality	quality	NOUN
ejpam-7126	349	2	and	and	CCONJ
ejpam-7126	349	3	quantity	quantity	NOUN
ejpam-7126	349	4	,	,	PUNCT
ejpam-7126	349	5	53:493–512	53:493–512	PROPN
ejpam-7126	349	6	,	,	PUNCT
ejpam-7126	349	7	2019	2019	NUM
ejpam-7126	349	8	.	.	PUNCT
ejpam-7126	350	1	[	[	X
ejpam-7126	350	2	8	8	NUM
ejpam-7126	350	3	]	]	X
ejpam-7126	350	4	r.	r.	PROPN
ejpam-7126	350	5	d.	d.	PROPN
ejpam-7126	350	6	gupta	gupta	PROPN
ejpam-7126	350	7	and	and	CCONJ
ejpam-7126	350	8	d.	d.	PROPN
ejpam-7126	350	9	kundu	kundu	PROPN
ejpam-7126	350	10	.	.	PUNCT
ejpam-7126	351	1	hybrid	hybrid	ADJ
ejpam-7126	351	2	censoring	censor	VERB
ejpam-7126	351	3	schemes	scheme	NOUN
ejpam-7126	351	4	with	with	ADP
ejpam-7126	351	5	exponential	exponential	ADJ
ejpam-7126	351	6	failure	failure	NOUN
ejpam-7126	351	7	distribution	distribution	NOUN
ejpam-7126	351	8	.	.	PUNCT
ejpam-7126	352	1	communications	communication	NOUN
ejpam-7126	352	2	in	in	ADP
ejpam-7126	352	3	statistics	statistic	NOUN
ejpam-7126	352	4	-	-	PUNCT
ejpam-7126	352	5	theory	theory	NOUN
ejpam-7126	352	6	and	and	CCONJ
ejpam-7126	352	7	methods	method	NOUN
ejpam-7126	352	8	,	,	PUNCT
ejpam-7126	352	9	27:3065–3083	27:3065–3083	NUM
ejpam-7126	352	10	,	,	PUNCT
ejpam-7126	352	11	1998	1998	NUM
ejpam-7126	352	12	.	.	PUNCT
ejpam-7126	353	1	[	[	X
ejpam-7126	353	2	9	9	NUM
ejpam-7126	353	3	]	]	X
ejpam-7126	353	4	d.	d.	PROPN
ejpam-7126	353	5	kundu	kundu	PROPN
ejpam-7126	353	6	and	and	CCONJ
ejpam-7126	353	7	b.	b.	PROPN
ejpam-7126	353	8	pradhan	pradhan	PROPN
ejpam-7126	353	9	.	.	PUNCT
ejpam-7126	354	1	estimating	estimate	VERB
ejpam-7126	354	2	the	the	DET
ejpam-7126	354	3	parameters	parameter	NOUN
ejpam-7126	354	4	of	of	ADP
ejpam-7126	354	5	the	the	DET
ejpam-7126	354	6	generalized	generalize	VERB
ejpam-7126	354	7	exponential	exponential	ADJ
ejpam-7126	354	8	distribution	distribution	NOUN
ejpam-7126	354	9	in	in	ADP
ejpam-7126	354	10	presence	presence	NOUN
ejpam-7126	354	11	of	of	ADP
ejpam-7126	354	12	hybrid	hybrid	ADJ
ejpam-7126	354	13	censoring	censoring	NOUN
ejpam-7126	354	14	.	.	PUNCT
ejpam-7126	355	1	communications	communication	NOUN
ejpam-7126	355	2	in	in	ADP
ejpam-7126	355	3	statistics	statistic	NOUN
ejpam-7126	355	4	-	-	PUNCT
ejpam-7126	355	5	theory	theory	NOUN
ejpam-7126	355	6	and	and	CCONJ
ejpam-7126	355	7	methods	method	NOUN
ejpam-7126	355	8	,	,	PUNCT
ejpam-7126	355	9	38:2030–2041	38:2030–2041	NUM
ejpam-7126	355	10	,	,	PUNCT
ejpam-7126	355	11	2009	2009	NUM
ejpam-7126	355	12	.	.	PUNCT
ejpam-7126	356	1	[	[	X
ejpam-7126	356	2	10	10	NUM
ejpam-7126	356	3	]	]	X
ejpam-7126	356	4	a.	a.	NOUN
ejpam-7126	356	5	childs	childs	PROPN
ejpam-7126	356	6	,	,	PUNCT
ejpam-7126	356	7	b.	b.	PROPN
ejpam-7126	356	8	chandrasekar	chandrasekar	PROPN
ejpam-7126	356	9	,	,	PUNCT
ejpam-7126	356	10	n.	n.	PROPN
ejpam-7126	356	11	balakrishnan	balakrishnan	PROPN
ejpam-7126	356	12	,	,	PUNCT
ejpam-7126	356	13	and	and	CCONJ
ejpam-7126	356	14	d.	d.	PROPN
ejpam-7126	356	15	kundu	kundu	PROPN
ejpam-7126	356	16	.	.	PUNCT
ejpam-7126	357	1	exact	exact	ADJ
ejpam-7126	357	2	likelihood	likelihood	NOUN
ejpam-7126	357	3	inference	inference	NOUN
ejpam-7126	357	4	based	base	VERB
ejpam-7126	357	5	on	on	ADP
ejpam-7126	357	6	type	type	NOUN
ejpam-7126	357	7	-	-	PUNCT
ejpam-7126	357	8	i	i	PRON
ejpam-7126	357	9	and	and	CCONJ
ejpam-7126	357	10	type	type	NOUN
ejpam-7126	357	11	-	-	PUNCT
ejpam-7126	357	12	ii	ii	NOUN
ejpam-7126	357	13	hybrid	hybrid	ADJ
ejpam-7126	357	14	censored	censor	VERB
ejpam-7126	357	15	samples	sample	NOUN
ejpam-7126	357	16	from	from	ADP
ejpam-7126	357	17	the	the	DET
ejpam-7126	357	18	exponential	exponential	ADJ
ejpam-7126	357	19	distribution	distribution	NOUN
ejpam-7126	357	20	.	.	PUNCT
ejpam-7126	358	1	annals	annal	NOUN
ejpam-7126	358	2	of	of	ADP
ejpam-7126	358	3	the	the	DET
ejpam-7126	358	4	institute	institute	NOUN
ejpam-7126	358	5	of	of	ADP
ejpam-7126	358	6	statistical	statistical	ADJ
ejpam-7126	358	7	mathematics	mathematic	NOUN
ejpam-7126	358	8	,	,	PUNCT
ejpam-7126	358	9	55:319–330	55:319–330	NUM
ejpam-7126	358	10	,	,	PUNCT
ejpam-7126	358	11	2003	2003	NUM
ejpam-7126	358	12	.	.	PUNCT
ejpam-7126	359	1	[	[	X
ejpam-7126	359	2	11	11	NUM
ejpam-7126	359	3	]	]	PUNCT
ejpam-7126	359	4	m.	m.	NOUN
ejpam-7126	359	5	g.	g.	PROPN
ejpam-7126	359	6	m.	m.	PROPN
ejpam-7126	359	7	ghazal	ghazal	PROPN
ejpam-7126	359	8	.	.	PUNCT
ejpam-7126	360	1	prediction	prediction	NOUN
ejpam-7126	360	2	of	of	ADP
ejpam-7126	360	3	exponentiated	exponentiated	ADJ
ejpam-7126	360	4	family	family	NOUN
ejpam-7126	360	5	distributions	distribution	NOUN
ejpam-7126	360	6	observables	observable	NOUN
ejpam-7126	360	7	under	under	ADP
ejpam-7126	360	8	type	type	NOUN
ejpam-7126	360	9	-	-	PUNCT
ejpam-7126	360	10	ii	ii	NOUN
ejpam-7126	360	11	hybrid	hybrid	ADJ
ejpam-7126	360	12	censored	censored	ADJ
ejpam-7126	360	13	data	datum	NOUN
ejpam-7126	360	14	.	.	PUNCT
ejpam-7126	361	1	journal	journal	PROPN
ejpam-7126	361	2	of	of	ADP
ejpam-7126	361	3	statistics	statistic	NOUN
ejpam-7126	361	4	applications	application	NOUN
ejpam-7126	361	5	and	and	CCONJ
ejpam-7126	361	6	probability	probability	NOUN
ejpam-7126	361	7	,	,	PUNCT
ejpam-7126	361	8	7:307	7:307	NUM
ejpam-7126	361	9	–	–	PUNCT
ejpam-7126	361	10	319	319	NUM
ejpam-7126	361	11	,	,	PUNCT
ejpam-7126	361	12	2018	2018	NUM
ejpam-7126	361	13	.	.	PUNCT
ejpam-7126	362	1	[	[	X
ejpam-7126	362	2	12	12	NUM
ejpam-7126	362	3	]	]	PUNCT
ejpam-7126	362	4	b.	b.	PROPN
ejpam-7126	362	5	chandrasekar	chandrasekar	PROPN
ejpam-7126	362	6	,	,	PUNCT
ejpam-7126	362	7	a.	a.	NOUN
ejpam-7126	362	8	childs	childs	PROPN
ejpam-7126	362	9	,	,	PUNCT
ejpam-7126	362	10	and	and	CCONJ
ejpam-7126	362	11	n.	n.	PROPN
ejpam-7126	362	12	balakrishnan	balakrishnan	PROPN
ejpam-7126	362	13	.	.	PUNCT
ejpam-7126	363	1	exact	exact	ADJ
ejpam-7126	363	2	likelihood	likelihood	NOUN
ejpam-7126	363	3	inference	inference	NOUN
ejpam-7126	363	4	for	for	ADP
ejpam-7126	363	5	the	the	DET
ejpam-7126	363	6	exponential	exponential	ADJ
ejpam-7126	363	7	distribution	distribution	NOUN
ejpam-7126	363	8	under	under	ADP
ejpam-7126	363	9	generalized	generalized	ADJ
ejpam-7126	363	10	type	type	NOUN
ejpam-7126	363	11	-	-	PUNCT
ejpam-7126	363	12	i	i	NOUN
ejpam-7126	363	13	and	and	CCONJ
ejpam-7126	363	14	type	type	NOUN
ejpam-7126	363	15	-	-	PUNCT
ejpam-7126	363	16	ii	ii	NOUN
ejpam-7126	363	17	hybrid	hybrid	NOUN
ejpam-7126	363	18	censoring	censoring	NOUN
ejpam-7126	363	19	.	.	PUNCT
ejpam-7126	364	1	naval	naval	ADJ
ejpam-7126	364	2	research	research	PROPN
ejpam-7126	364	3	logistics	logistic	NOUN
ejpam-7126	364	4	,	,	PUNCT
ejpam-7126	364	5	51:994–1004	51:994–1004	PROPN
ejpam-7126	364	6	,	,	PUNCT
ejpam-7126	364	7	2004	2004	NUM
ejpam-7126	364	8	.	.	PUNCT
ejpam-7126	365	1	[	[	X
ejpam-7126	365	2	13	13	NUM
ejpam-7126	365	3	]	]	PUNCT
ejpam-7126	365	4	a.	a.	NOUN
ejpam-7126	365	5	algarni	algarni	PROPN
ejpam-7126	365	6	,	,	PUNCT
ejpam-7126	365	7	a.	a.	NOUN
ejpam-7126	365	8	m.	m.	NOUN
ejpam-7126	365	9	almarashi	almarashi	PROPN
ejpam-7126	365	10	,	,	PUNCT
ejpam-7126	365	11	and	and	CCONJ
ejpam-7126	365	12	g.	g.	PROPN
ejpam-7126	365	13	a.	a.	PROPN
ejpam-7126	365	14	abd	abd	PROPN
ejpam-7126	365	15	-	-	PUNCT
ejpam-7126	365	16	elmougod	elmougod	PROPN
ejpam-7126	365	17	.	.	PUNCT
ejpam-7126	366	1	joint	joint	ADJ
ejpam-7126	366	2	type	type	NOUN
ejpam-7126	366	3	-	-	PUNCT
ejpam-7126	366	4	i	i	PRON
ejpam-7126	366	5	generalized	generalize	VERB
ejpam-7126	366	6	s.	s.	PROPN
ejpam-7126	367	1	k.	k.	PROPN
ejpam-7126	368	1	badr	badr	PROPN
ejpam-7126	368	2	/	/	SYM
ejpam-7126	368	3	eur	eur	PROPN
ejpam-7126	368	4	.	.	PUNCT
ejpam-7126	369	1	j.	j.	PROPN
ejpam-7126	369	2	pure	pure	PROPN
ejpam-7126	369	3	appl	appl	PROPN
ejpam-7126	369	4	.	.	PROPN
ejpam-7126	369	5	math	math	PROPN
ejpam-7126	369	6	,	,	PUNCT
ejpam-7126	369	7	18	18	NUM
ejpam-7126	369	8	(	(	PUNCT
ejpam-7126	369	9	4	4	NUM
ejpam-7126	369	10	)	)	PUNCT
ejpam-7126	369	11	(	(	PUNCT
ejpam-7126	369	12	2025	2025	NUM
ejpam-7126	369	13	)	)	PUNCT
ejpam-7126	369	14	,	,	PUNCT
ejpam-7126	369	15	7126	7126	NUM
ejpam-7126	369	16	19	19	NUM
ejpam-7126	369	17	of	of	ADP
ejpam-7126	369	18	20	20	NUM
ejpam-7126	369	19	hybrid	hybrid	NOUN
ejpam-7126	369	20	censoring	censor	VERB
ejpam-7126	369	21	for	for	ADP
ejpam-7126	369	22	estimation	estimation	NOUN
ejpam-7126	369	23	the	the	DET
ejpam-7126	369	24	two	two	NUM
ejpam-7126	369	25	weibull	weibull	NOUN
ejpam-7126	369	26	distributions	distribution	NOUN
ejpam-7126	369	27	.	.	PUNCT
ejpam-7126	370	1	journal	journal	NOUN
ejpam-7126	370	2	of	of	ADP
ejpam-7126	370	3	information	information	NOUN
ejpam-7126	370	4	science	science	NOUN
ejpam-7126	370	5	and	and	CCONJ
ejpam-7126	370	6	engineering	engineering	NOUN
ejpam-7126	370	7	,	,	PUNCT
ejpam-7126	370	8	36:1243–1260	36:1243–1260	NUM
ejpam-7126	370	9	,	,	PUNCT
ejpam-7126	370	10	2020	2020	NUM
ejpam-7126	370	11	.	.	PUNCT
ejpam-7126	371	1	[	[	X
ejpam-7126	371	2	14	14	NUM
ejpam-7126	371	3	]	]	X
ejpam-7126	371	4	m.	m.	NOUN
ejpam-7126	371	5	ragab	ragab	PROPN
ejpam-7126	371	6	,	,	PUNCT
ejpam-7126	371	7	a.	a.	NOUN
ejpam-7126	371	8	fayomi	fayomi	NOUN
ejpam-7126	371	9	,	,	PUNCT
ejpam-7126	371	10	a.	a.	NOUN
ejpam-7126	371	11	algarni	algarni	NOUN
ejpam-7126	371	12	,	,	PUNCT
ejpam-7126	371	13	g.	g.	PROPN
ejpam-7126	371	14	a.	a.	PROPN
ejpam-7126	371	15	abd	abd	PROPN
ejpam-7126	371	16	-	-	PUNCT
ejpam-7126	371	17	elmougod	elmougod	PROPN
ejpam-7126	371	18	,	,	PUNCT
ejpam-7126	371	19	n.	n.	PROPN
ejpam-7126	371	20	s.	s.	PROPN
ejpam-7126	371	21	ahmed	ahmed	PROPN
ejpam-7126	371	22	,	,	PUNCT
ejpam-7126	371	23	s.	s.	PROPN
ejpam-7126	371	24	m.	m.	PROPN
ejpam-7126	371	25	abodahab	abodahab	PROPN
ejpam-7126	371	26	,	,	PUNCT
ejpam-7126	371	27	and	and	CCONJ
ejpam-7126	371	28	s.	s.	PROPN
ejpam-7126	371	29	m.	m.	PROPN
ejpam-7126	371	30	abdel	abdel	PROPN
ejpam-7126	371	31	-	-	PUNCT
ejpam-7126	371	32	khalek	khalek	PROPN
ejpam-7126	371	33	.	.	PUNCT
ejpam-7126	372	1	statistical	statistical	ADJ
ejpam-7126	372	2	analysis	analysis	NOUN
ejpam-7126	372	3	of	of	ADP
ejpam-7126	372	4	joint	joint	ADJ
ejpam-7126	372	5	type	type	NOUN
ejpam-7126	372	6	-	-	PUNCT
ejpam-7126	372	7	i	i	PRON
ejpam-7126	372	8	generalized	generalize	VERB
ejpam-7126	372	9	hybrid	hybrid	NOUN
ejpam-7126	372	10	censoring	censor	VERB
ejpam-7126	372	11	data	datum	NOUN
ejpam-7126	372	12	from	from	ADP
ejpam-7126	372	13	burr	burr	PROPN
ejpam-7126	372	14	xii	xii	PROPN
ejpam-7126	372	15	lifetime	lifetime	NOUN
ejpam-7126	372	16	distributions	distribution	NOUN
ejpam-7126	372	17	.	.	PUNCT
ejpam-7126	373	1	complexity	complexity	NOUN
ejpam-7126	373	2	,	,	PUNCT
ejpam-7126	373	3	2021:1–15	2021:1–15	NUM
ejpam-7126	373	4	,	,	PUNCT
ejpam-7126	373	5	2021	2021	NUM
ejpam-7126	373	6	.	.	PUNCT
ejpam-7126	374	1	[	[	X
ejpam-7126	374	2	15	15	NUM
ejpam-7126	374	3	]	]	X
ejpam-7126	374	4	n.	n.	PROPN
ejpam-7126	374	5	nelson	nelson	PROPN
ejpam-7126	374	6	.	.	PUNCT
ejpam-7126	375	1	accelerated	accelerate	VERB
ejpam-7126	375	2	testing	testing	NOUN
ejpam-7126	375	3	:	:	PUNCT
ejpam-7126	375	4	statistical	statistical	ADJ
ejpam-7126	375	5	models	model	NOUN
ejpam-7126	375	6	,	,	PUNCT
ejpam-7126	375	7	test	test	NOUN
ejpam-7126	375	8	plans	plan	NOUN
ejpam-7126	375	9	and	and	CCONJ
ejpam-7126	375	10	data	datum	NOUN
ejpam-7126	375	11	analysis	analysis	NOUN
ejpam-7126	375	12	.	.	PUNCT
ejpam-7126	376	1	wiley	wiley	PROPN
ejpam-7126	376	2	,	,	PUNCT
ejpam-7126	376	3	new	new	PROPN
ejpam-7126	376	4	york	york	PROPN
ejpam-7126	376	5	,	,	PUNCT
ejpam-7126	376	6	1990	1990	NUM
ejpam-7126	376	7	.	.	PUNCT
ejpam-7126	377	1	[	[	X
ejpam-7126	377	2	16	16	NUM
ejpam-7126	377	3	]	]	X
ejpam-7126	377	4	g.	g.	PROPN
ejpam-7126	377	5	a.	a.	PROPN
ejpam-7126	377	6	abd	abd	PROPN
ejpam-7126	377	7	-	-	PROPN
ejpam-7126	377	8	elmougod	elmougod	PROPN
ejpam-7126	377	9	and	and	CCONJ
ejpam-7126	377	10	e.	e.	PROPN
ejpam-7126	377	11	e.	e.	PROPN
ejpam-7126	377	12	mahmoud	mahmoud	PROPN
ejpam-7126	377	13	.	.	PUNCT
ejpam-7126	378	1	parameters	parameter	NOUN
ejpam-7126	378	2	estimation	estimation	NOUN
ejpam-7126	378	3	of	of	ADP
ejpam-7126	378	4	compound	compound	NOUN
ejpam-7126	378	5	rayleigh	rayleigh	PROPN
ejpam-7126	378	6	distribution	distribution	NOUN
ejpam-7126	378	7	under	under	ADP
ejpam-7126	378	8	an	an	DET
ejpam-7126	378	9	adaptive	adaptive	ADJ
ejpam-7126	378	10	type	type	NOUN
ejpam-7126	378	11	-	-	PUNCT
ejpam-7126	378	12	ii	ii	NOUN
ejpam-7126	378	13	progressively	progressively	ADV
ejpam-7126	378	14	hybrid	hybrid	ADJ
ejpam-7126	378	15	censored	censored	ADJ
ejpam-7126	378	16	data	datum	NOUN
ejpam-7126	378	17	for	for	ADP
ejpam-7126	378	18	constant	constant	ADJ
ejpam-7126	378	19	partially	partially	ADV
ejpam-7126	378	20	accelerated	accelerate	VERB
ejpam-7126	378	21	life	life	NOUN
ejpam-7126	378	22	tests	test	NOUN
ejpam-7126	378	23	.	.	PUNCT
ejpam-7126	379	1	global	global	ADJ
ejpam-7126	379	2	journal	journal	PROPN
ejpam-7126	379	3	of	of	ADP
ejpam-7126	379	4	pure	pure	ADJ
ejpam-7126	379	5	and	and	CCONJ
ejpam-7126	379	6	applied	applied	ADJ
ejpam-7126	379	7	mathematics	mathematic	NOUN
ejpam-7126	379	8	,	,	PUNCT
ejpam-7126	379	9	13:8361–8372	13:8361–8372	NUM
ejpam-7126	379	10	,	,	PUNCT
ejpam-7126	379	11	2016	2016	NUM
ejpam-7126	379	12	.	.	PUNCT
ejpam-7126	380	1	[	[	X
ejpam-7126	380	2	17	17	NUM
ejpam-7126	380	3	]	]	PUNCT
ejpam-7126	380	4	a.	a.	NOUN
ejpam-7126	380	5	a.	a.	PROPN
ejpam-7126	380	6	ismail	ismail	PROPN
ejpam-7126	380	7	.	.	PUNCT
ejpam-7126	381	1	reliability	reliability	NOUN
ejpam-7126	381	2	analysis	analysis	NOUN
ejpam-7126	381	3	under	under	ADP
ejpam-7126	381	4	constant	constant	ADJ
ejpam-7126	381	5	-	-	PUNCT
ejpam-7126	381	6	stress	stress	NOUN
ejpam-7126	381	7	partially	partially	ADV
ejpam-7126	381	8	accelerated	accelerate	VERB
ejpam-7126	381	9	life	life	NOUN
ejpam-7126	381	10	tests	test	NOUN
ejpam-7126	381	11	using	use	VERB
ejpam-7126	381	12	hybrid	hybrid	ADJ
ejpam-7126	381	13	censored	censor	VERB
ejpam-7126	381	14	data	datum	NOUN
ejpam-7126	381	15	from	from	ADP
ejpam-7126	381	16	weibull	weibull	NOUN
ejpam-7126	381	17	distribution	distribution	NOUN
ejpam-7126	381	18	.	.	PUNCT
ejpam-7126	382	1	hacettepe	hacettepe	PROPN
ejpam-7126	382	2	journal	journal	PROPN
ejpam-7126	382	3	of	of	ADP
ejpam-7126	382	4	mathematics	mathematic	NOUN
ejpam-7126	382	5	and	and	CCONJ
ejpam-7126	382	6	statistics	statistic	NOUN
ejpam-7126	382	7	,	,	PUNCT
ejpam-7126	382	8	45:181–193	45:181–193	PROPN
ejpam-7126	382	9	,	,	PUNCT
ejpam-7126	382	10	2016	2016	NUM
ejpam-7126	382	11	.	.	PUNCT
ejpam-7126	383	1	[	[	X
ejpam-7126	383	2	18	18	NUM
ejpam-7126	383	3	]	]	PUNCT
ejpam-7126	383	4	a.	a.	NOUN
ejpam-7126	383	5	s.	s.	PROPN
ejpam-7126	383	6	hassan	hassan	PROPN
ejpam-7126	383	7	,	,	PUNCT
ejpam-7126	383	8	s.	s.	PROPN
ejpam-7126	383	9	m.	m.	PROPN
ejpam-7126	383	10	assar	assar	PROPN
ejpam-7126	383	11	,	,	PUNCT
ejpam-7126	383	12	and	and	CCONJ
ejpam-7126	383	13	a.	a.	NOUN
ejpam-7126	383	14	n.	n.	PROPN
ejpam-7126	383	15	zaky	zaky	PROPN
ejpam-7126	383	16	.	.	PUNCT
ejpam-7126	384	1	constant	constant	ADJ
ejpam-7126	384	2	-	-	PUNCT
ejpam-7126	384	3	stress	stress	NOUN
ejpam-7126	384	4	partially	partially	ADV
ejpam-7126	384	5	accelerated	accelerate	VERB
ejpam-7126	384	6	life	life	NOUN
ejpam-7126	384	7	tests	test	NOUN
ejpam-7126	384	8	for	for	ADP
ejpam-7126	384	9	inverted	inverted	ADJ
ejpam-7126	384	10	weibull	weibull	NOUN
ejpam-7126	384	11	distribution	distribution	NOUN
ejpam-7126	384	12	with	with	ADP
ejpam-7126	384	13	multiple	multiple	ADJ
ejpam-7126	384	14	censored	censored	ADJ
ejpam-7126	384	15	data	datum	NOUN
ejpam-7126	384	16	.	.	PUNCT
ejpam-7126	385	1	international	international	ADJ
ejpam-7126	385	2	journal	journal	PROPN
ejpam-7126	385	3	of	of	ADP
ejpam-7126	385	4	advanced	advanced	ADJ
ejpam-7126	385	5	statistics	statistic	NOUN
ejpam-7126	385	6	and	and	CCONJ
ejpam-7126	385	7	probability	probability	NOUN
ejpam-7126	385	8	,	,	PUNCT
ejpam-7126	385	9	1:72–82	1:72–82	NUM
ejpam-7126	385	10	,	,	PUNCT
ejpam-7126	385	11	2015	2015	NUM
ejpam-7126	385	12	.	.	PUNCT
ejpam-7126	386	1	[	[	X
ejpam-7126	386	2	19	19	NUM
ejpam-7126	386	3	]	]	X
ejpam-7126	386	4	c.	c.	PROPN
ejpam-7126	386	5	m.	m.	PROPN
ejpam-7126	386	6	kim	kim	PROPN
ejpam-7126	386	7	and	and	CCONJ
ejpam-7126	386	8	d.	d.	PROPN
ejpam-7126	386	9	s.	s.	PROPN
ejpam-7126	386	10	bai	bai	PROPN
ejpam-7126	386	11	.	.	PUNCT
ejpam-7126	387	1	analysis	analysis	NOUN
ejpam-7126	387	2	of	of	ADP
ejpam-7126	387	3	accelerated	accelerate	VERB
ejpam-7126	387	4	life	life	NOUN
ejpam-7126	387	5	test	test	NOUN
ejpam-7126	387	6	data	datum	NOUN
ejpam-7126	387	7	under	under	ADP
ejpam-7126	387	8	two	two	NUM
ejpam-7126	387	9	failure	failure	NOUN
ejpam-7126	387	10	modes	mode	NOUN
ejpam-7126	387	11	.	.	PUNCT
ejpam-7126	388	1	international	international	ADJ
ejpam-7126	388	2	journal	journal	NOUN
ejpam-7126	388	3	of	of	ADP
ejpam-7126	388	4	reliability	reliability	NOUN
ejpam-7126	388	5	,	,	PUNCT
ejpam-7126	388	6	quality	quality	NOUN
ejpam-7126	388	7	and	and	CCONJ
ejpam-7126	388	8	safety	safety	NOUN
ejpam-7126	388	9	engineering	engineering	NOUN
ejpam-7126	388	10	,	,	PUNCT
ejpam-7126	388	11	9:111	9:111	NUM
ejpam-7126	388	12	–	–	PUNCT
ejpam-7126	388	13	125	125	NUM
ejpam-7126	388	14	,	,	PUNCT
ejpam-7126	388	15	2002	2002	NUM
ejpam-7126	388	16	.	.	PUNCT
ejpam-7126	389	1	[	[	X
ejpam-7126	389	2	20	20	NUM
ejpam-7126	389	3	]	]	PUNCT
ejpam-7126	390	1	e.	e.	PROPN
ejpam-7126	390	2	k.	k.	PROPN
ejpam-7126	390	3	al	al	PROPN
ejpam-7126	390	4	-	-	PUNCT
ejpam-7126	390	5	hussaini	hussaini	PROPN
ejpam-7126	390	6	and	and	CCONJ
ejpam-7126	390	7	a.	a.	PROPN
ejpam-7126	390	8	h.	h.	PROPN
ejpam-7126	390	9	abdel	abdel	PROPN
ejpam-7126	390	10	-	-	PUNCT
ejpam-7126	390	11	hamid	hamid	PROPN
ejpam-7126	390	12	.	.	PROPN
ejpam-7126	390	13	accelerated	accelerate	VERB
ejpam-7126	390	14	life	life	NOUN
ejpam-7126	390	15	tests	test	NOUN
ejpam-7126	390	16	under	under	ADP
ejpam-7126	390	17	finite	finite	ADJ
ejpam-7126	390	18	mixture	mixture	NOUN
ejpam-7126	390	19	models	model	NOUN
ejpam-7126	390	20	.	.	PUNCT
ejpam-7126	391	1	journal	journal	NOUN
ejpam-7126	391	2	of	of	ADP
ejpam-7126	391	3	statistical	statistical	ADJ
ejpam-7126	391	4	computation	computation	NOUN
ejpam-7126	391	5	and	and	CCONJ
ejpam-7126	391	6	simulation	simulation	NOUN
ejpam-7126	391	7	,	,	PUNCT
ejpam-7126	391	8	76:673–690	76:673–690	PROPN
ejpam-7126	391	9	,	,	PUNCT
ejpam-7126	391	10	2010	2010	NUM
ejpam-7126	391	11	.	.	PUNCT
ejpam-7126	392	1	[	[	X
ejpam-7126	392	2	21	21	NUM
ejpam-7126	392	3	]	]	X
ejpam-7126	392	4	r.	r.	PROPN
ejpam-7126	392	5	wang	wang	PROPN
ejpam-7126	392	6	and	and	CCONJ
ejpam-7126	392	7	h.	h.	PROPN
ejpam-7126	392	8	fei	fei	PROPN
ejpam-7126	392	9	.	.	PUNCT
ejpam-7126	393	1	statistical	statistical	ADJ
ejpam-7126	393	2	inference	inference	NOUN
ejpam-7126	393	3	of	of	ADP
ejpam-7126	393	4	weibull	weibull	NOUN
ejpam-7126	393	5	distribution	distribution	NOUN
ejpam-7126	393	6	for	for	ADP
ejpam-7126	393	7	tampered	tamper	VERB
ejpam-7126	393	8	failure	failure	NOUN
ejpam-7126	393	9	rate	rate	NOUN
ejpam-7126	393	10	model	model	NOUN
ejpam-7126	393	11	in	in	ADP
ejpam-7126	393	12	progressive	progressive	ADJ
ejpam-7126	393	13	stress	stress	NOUN
ejpam-7126	393	14	accelerated	accelerate	VERB
ejpam-7126	393	15	life	life	NOUN
ejpam-7126	393	16	testing	testing	NOUN
ejpam-7126	393	17	.	.	PUNCT
ejpam-7126	394	1	journal	journal	PROPN
ejpam-7126	394	2	of	of	ADP
ejpam-7126	394	3	systems	system	NOUN
ejpam-7126	394	4	science	science	NOUN
ejpam-7126	394	5	and	and	CCONJ
ejpam-7126	394	6	complexity	complexity	NOUN
ejpam-7126	394	7	,	,	PUNCT
ejpam-7126	394	8	17:237–243	17:237–243	NUM
ejpam-7126	394	9	,	,	PUNCT
ejpam-7126	394	10	2004	2004	NUM
ejpam-7126	394	11	.	.	PUNCT
ejpam-7126	395	1	[	[	X
ejpam-7126	395	2	22	22	NUM
ejpam-7126	395	3	]	]	PUNCT
ejpam-7126	395	4	a.	a.	NOUN
ejpam-7126	395	5	a.	a.	PROPN
ejpam-7126	395	6	soliman	soliman	PROPN
ejpam-7126	395	7	,	,	PUNCT
ejpam-7126	395	8	g.	g.	PROPN
ejpam-7126	395	9	a.	a.	PROPN
ejpam-7126	395	10	abd	abd	PROPN
ejpam-7126	395	11	-	-	PUNCT
ejpam-7126	395	12	elmougod	elmougod	PROPN
ejpam-7126	395	13	,	,	PUNCT
ejpam-7126	395	14	and	and	CCONJ
ejpam-7126	395	15	m.	m.	NOUN
ejpam-7126	395	16	m.	m.	PROPN
ejpam-7126	395	17	al	al	PROPN
ejpam-7126	395	18	-	-	PUNCT
ejpam-7126	395	19	sobhi	sobhi	NOUN
ejpam-7126	395	20	.	.	PUNCT
ejpam-7126	396	1	estimation	estimation	NOUN
ejpam-7126	396	2	in	in	ADP
ejpam-7126	396	3	stepstress	stepstress	NOUN
ejpam-7126	396	4	partially	partially	ADV
ejpam-7126	396	5	accelerated	accelerate	VERB
ejpam-7126	396	6	life	life	NOUN
ejpam-7126	396	7	tests	test	NOUN
ejpam-7126	396	8	for	for	ADP
ejpam-7126	396	9	the	the	DET
ejpam-7126	396	10	chen	chen	PROPN
ejpam-7126	396	11	distribution	distribution	NOUN
ejpam-7126	396	12	using	use	VERB
ejpam-7126	396	13	progressive	progressive	ADJ
ejpam-7126	396	14	type	type	NOUN
ejpam-7126	396	15	-	-	PUNCT
ejpam-7126	396	16	ii	ii	NOUN
ejpam-7126	396	17	censoring	censoring	NOUN
ejpam-7126	396	18	.	.	PUNCT
ejpam-7126	397	1	applied	apply	VERB
ejpam-7126	397	2	mathematics	mathematics	PROPN
ejpam-7126	397	3	&	&	CCONJ
ejpam-7126	397	4	information	information	NOUN
ejpam-7126	397	5	sciences	sciences	PROPN
ejpam-7126	397	6	,	,	PUNCT
ejpam-7126	397	7	11:325–332	11:325–332	NUM
ejpam-7126	397	8	,	,	PUNCT
ejpam-7126	397	9	2017	2017	NUM
ejpam-7126	397	10	.	.	PUNCT
ejpam-7126	398	1	[	[	X
ejpam-7126	398	2	23	23	NUM
ejpam-7126	398	3	]	]	PUNCT
ejpam-7126	398	4	j.	j.	PROPN
ejpam-7126	398	5	saad	saad	PROPN
ejpam-7126	398	6	,	,	PUNCT
ejpam-7126	398	7	j.	j.	PROPN
ejpam-7126	398	8	almalki	almalki	PROPN
ejpam-7126	398	9	,	,	PUNCT
ejpam-7126	398	10	a.	a.	PROPN
ejpam-7126	398	11	f.	f.	PROPN
ejpam-7126	398	12	al	al	PROPN
ejpam-7126	398	13	-	-	PUNCT
ejpam-7126	398	14	wageh	wageh	PROPN
ejpam-7126	398	15	,	,	PUNCT
ejpam-7126	398	16	k.	k.	PROPN
ejpam-7126	398	17	r.	r.	PROPN
ejpam-7126	398	18	manoj	manoj	PROPN
ejpam-7126	398	19	,	,	PUNCT
ejpam-7126	398	20	and	and	CCONJ
ejpam-7126	398	21	g.	g.	PROPN
ejpam-7126	398	22	a.	a.	PROPN
ejpam-7126	398	23	abd	abd	PROPN
ejpam-7126	398	24	-	-	PUNCT
ejpam-7126	398	25	elmougod	elmougod	PROPN
ejpam-7126	398	26	.	.	PUNCT
ejpam-7126	399	1	constant	constant	ADJ
ejpam-7126	399	2	partially	partially	ADV
ejpam-7126	399	3	accelerated	accelerate	VERB
ejpam-7126	399	4	life	life	NOUN
ejpam-7126	399	5	tests	test	NOUN
ejpam-7126	399	6	model	model	NOUN
ejpam-7126	399	7	for	for	ADP
ejpam-7126	399	8	parameters	parameter	NOUN
ejpam-7126	399	9	estimation	estimation	NOUN
ejpam-7126	399	10	of	of	ADP
ejpam-7126	399	11	kumaraswamy	kumaraswamy	ADJ
ejpam-7126	399	12	distribution	distribution	NOUN
ejpam-7126	399	13	based	base	VERB
ejpam-7126	399	14	on	on	ADP
ejpam-7126	399	15	adaptive	adaptive	ADJ
ejpam-7126	399	16	type	type	NOUN
ejpam-7126	399	17	-	-	PUNCT
ejpam-7126	399	18	ii	ii	NOUN
ejpam-7126	399	19	progressive	progressive	NOUN
ejpam-7126	399	20	censoring	censor	VERB
ejpam-7126	399	21	.	.	PUNCT
ejpam-7126	400	1	alexandria	alexandria	PROPN
ejpam-7126	400	2	engineering	engineering	PROPN
ejpam-7126	400	3	journal	journal	PROPN
ejpam-7126	400	4	,	,	PUNCT
ejpam-7126	400	5	61:5133–5143	61:5133–5143	NUM
ejpam-7126	400	6	,	,	PUNCT
ejpam-7126	400	7	2022	2022	NUM
ejpam-7126	400	8	.	.	PUNCT
ejpam-7126	401	1	[	[	X
ejpam-7126	401	2	24	24	NUM
ejpam-7126	401	3	]	]	PUNCT
ejpam-7126	401	4	m.	m.	NOUN
ejpam-7126	401	5	a.	a.	NOUN
ejpam-7126	401	6	almarashi	almarashi	PROPN
ejpam-7126	401	7	and	and	CCONJ
ejpam-7126	401	8	g.	g.	PROPN
ejpam-7126	401	9	a.	a.	PROPN
ejpam-7126	401	10	abd	abd	PROPN
ejpam-7126	401	11	-	-	PUNCT
ejpam-7126	401	12	elmougod	elmougod	PROPN
ejpam-7126	401	13	.	.	PUNCT
ejpam-7126	402	1	accelerated	accelerate	VERB
ejpam-7126	402	2	competing	compete	VERB
ejpam-7126	402	3	risks	risk	NOUN
ejpam-7126	402	4	model	model	NOUN
ejpam-7126	402	5	from	from	ADP
ejpam-7126	402	6	gompertz	gompertz	NOUN
ejpam-7126	402	7	lifetime	lifetime	NOUN
ejpam-7126	402	8	distributions	distribution	NOUN
ejpam-7126	402	9	with	with	ADP
ejpam-7126	402	10	type	type	NOUN
ejpam-7126	402	11	-	-	PUNCT
ejpam-7126	402	12	ii	ii	NOUN
ejpam-7126	402	13	censoring	censor	VERB
ejpam-7126	402	14	scheme	scheme	NOUN
ejpam-7126	402	15	.	.	PUNCT
ejpam-7126	403	1	thermal	thermal	ADJ
ejpam-7126	403	2	science	science	NOUN
ejpam-7126	403	3	,	,	PUNCT
ejpam-7126	403	4	24:165–175	24:165–175	PROPN
ejpam-7126	403	5	,	,	PUNCT
ejpam-7126	403	6	2021	2021	NUM
ejpam-7126	403	7	.	.	PUNCT
ejpam-7126	404	1	[	[	X
ejpam-7126	404	2	25	25	NUM
ejpam-7126	404	3	]	]	PUNCT
ejpam-7126	404	4	a.	a.	NOUN
ejpam-7126	404	5	c.	c.	PROPN
ejpam-7126	404	6	davison	davison	PROPN
ejpam-7126	404	7	and	and	CCONJ
ejpam-7126	404	8	d.	d.	PROPN
ejpam-7126	404	9	v.	v.	PROPN
ejpam-7126	404	10	hinkley	hinkley	PROPN
ejpam-7126	404	11	.	.	PUNCT
ejpam-7126	405	1	bootstrap	bootstrap	NOUN
ejpam-7126	405	2	methods	method	NOUN
ejpam-7126	405	3	and	and	CCONJ
ejpam-7126	405	4	their	their	PRON
ejpam-7126	405	5	applications	application	NOUN
ejpam-7126	405	6	.	.	PUNCT
ejpam-7126	406	1	cambridge	cambridge	PROPN
ejpam-7126	406	2	university	university	PROPN
ejpam-7126	406	3	press	press	PROPN
ejpam-7126	406	4	,	,	PUNCT
ejpam-7126	406	5	cambridge	cambridge	PROPN
ejpam-7126	406	6	,	,	PUNCT
ejpam-7126	406	7	united	united	ADJ
ejpam-7126	406	8	kingdom	kingdom	PROPN
ejpam-7126	406	9	,	,	PUNCT
ejpam-7126	406	10	1975	1975	NUM
ejpam-7126	406	11	.	.	PUNCT
ejpam-7126	407	1	[	[	X
ejpam-7126	407	2	26	26	NUM
ejpam-7126	407	3	]	]	X
ejpam-7126	407	4	b.	b.	PROPN
ejpam-7126	407	5	efron	efron	PROPN
ejpam-7126	407	6	and	and	CCONJ
ejpam-7126	407	7	r.	r.	PROPN
ejpam-7126	407	8	j.	j.	PROPN
ejpam-7126	407	9	tibshirani	tibshirani	PROPN
ejpam-7126	407	10	.	.	PUNCT
ejpam-7126	408	1	an	an	DET
ejpam-7126	408	2	introduction	introduction	NOUN
ejpam-7126	408	3	to	to	ADP
ejpam-7126	408	4	the	the	DET
ejpam-7126	408	5	bootstrap	bootstrap	NOUN
ejpam-7126	408	6	.	.	PUNCT
ejpam-7126	409	1	chapman	chapman	PROPN
ejpam-7126	409	2	and	and	CCONJ
ejpam-7126	409	3	hall	hall	PROPN
ejpam-7126	409	4	,	,	PUNCT
ejpam-7126	409	5	new	new	PROPN
ejpam-7126	409	6	york	york	PROPN
ejpam-7126	409	7	,	,	PUNCT
ejpam-7126	409	8	1982	1982	NUM
ejpam-7126	409	9	.	.	PUNCT
ejpam-7126	410	1	[	[	X
ejpam-7126	410	2	27	27	NUM
ejpam-7126	410	3	]	]	X
ejpam-7126	410	4	p.	p.	NOUN
ejpam-7126	410	5	hall	hall	PROPN
ejpam-7126	410	6	.	.	PUNCT
ejpam-7126	411	1	theoretical	theoretical	ADJ
ejpam-7126	411	2	comparison	comparison	NOUN
ejpam-7126	411	3	of	of	ADP
ejpam-7126	411	4	bootstrap	bootstrap	NOUN
ejpam-7126	411	5	confidence	confidence	NOUN
ejpam-7126	411	6	intervals	interval	NOUN
ejpam-7126	411	7	.	.	PUNCT
ejpam-7126	412	1	annals	annal	NOUN
ejpam-7126	412	2	of	of	ADP
ejpam-7126	412	3	statistics	statistic	NOUN
ejpam-7126	412	4	,	,	PUNCT
ejpam-7126	412	5	16:927–953	16:927–953	NUM
ejpam-7126	412	6	,	,	PUNCT
ejpam-7126	412	7	1988	1988	NUM
ejpam-7126	412	8	.	.	PUNCT
ejpam-7126	413	1	[	[	X
ejpam-7126	413	2	28	28	NUM
ejpam-7126	413	3	]	]	X
ejpam-7126	413	4	e.	e.	PROPN
ejpam-7126	413	5	j.	j.	PROPN
ejpam-7126	413	6	fuller	fuller	PROPN
ejpam-7126	413	7	,	,	PUNCT
ejpam-7126	413	8	s.	s.	PROPN
ejpam-7126	413	9	frieman	frieman	PROPN
ejpam-7126	413	10	,	,	PUNCT
ejpam-7126	413	11	j.	j.	PROPN
ejpam-7126	413	12	quinn	quinn	PROPN
ejpam-7126	413	13	,	,	PUNCT
ejpam-7126	413	14	g.	g.	PROPN
ejpam-7126	413	15	quinn	quinn	PROPN
ejpam-7126	413	16	,	,	PUNCT
ejpam-7126	413	17	and	and	CCONJ
ejpam-7126	413	18	w.	w.	PROPN
ejpam-7126	413	19	carter	carter	PROPN
ejpam-7126	413	20	.	.	PUNCT
ejpam-7126	414	1	fracture	fracture	PROPN
ejpam-7126	414	2	mechanics	mechanic	NOUN
ejpam-7126	414	3	approach	approach	VERB
ejpam-7126	414	4	to	to	ADP
ejpam-7126	414	5	the	the	DET
ejpam-7126	414	6	design	design	NOUN
ejpam-7126	414	7	of	of	ADP
ejpam-7126	414	8	glass	glass	NOUN
ejpam-7126	414	9	aircraft	aircraft	NOUN
ejpam-7126	414	10	windows	window	NOUN
ejpam-7126	414	11	:	:	PUNCT
ejpam-7126	414	12	a	a	DET
ejpam-7126	414	13	case	case	NOUN
ejpam-7126	414	14	study	study	NOUN
ejpam-7126	414	15	.	.	PUNCT
ejpam-7126	415	1	spie	spie	ADJ
ejpam-7126	415	2	proceedings	proceeding	NOUN
ejpam-7126	415	3	,	,	PUNCT
ejpam-7126	415	4	s.	s.	PROPN
ejpam-7126	415	5	k.	k.	PROPN
ejpam-7126	415	6	badr	badr	PROPN
ejpam-7126	415	7	/	/	SYM
ejpam-7126	415	8	eur	eur	PROPN
ejpam-7126	415	9	.	.	PUNCT
ejpam-7126	416	1	j.	j.	PROPN
ejpam-7126	416	2	pure	pure	PROPN
ejpam-7126	416	3	appl	appl	PROPN
ejpam-7126	416	4	.	.	PROPN
ejpam-7126	416	5	math	math	PROPN
ejpam-7126	416	6	,	,	PUNCT
ejpam-7126	416	7	18	18	NUM
ejpam-7126	416	8	(	(	PUNCT
ejpam-7126	416	9	4	4	NUM
ejpam-7126	416	10	)	)	PUNCT
ejpam-7126	416	11	(	(	PUNCT
ejpam-7126	416	12	2025	2025	NUM
ejpam-7126	416	13	)	)	PUNCT
ejpam-7126	416	14	,	,	PUNCT
ejpam-7126	416	15	7126	7126	NUM
ejpam-7126	416	16	20	20	NUM
ejpam-7126	416	17	of	of	ADP
ejpam-7126	416	18	20	20	NUM
ejpam-7126	416	19	86:419–430	86:419–430	NUM
ejpam-7126	416	20	,	,	PUNCT
ejpam-7126	416	21	1994	1994	NUM
ejpam-7126	416	22	.	.	PUNCT
ejpam-7126	417	1	[	[	X
ejpam-7126	417	2	29	29	NUM
ejpam-7126	417	3	]	]	X
ejpam-7126	417	4	m.	m.	NOUN
ejpam-7126	417	5	g.	g.	PROPN
ejpam-7126	417	6	badar	badar	PROPN
ejpam-7126	417	7	and	and	CCONJ
ejpam-7126	417	8	a.	a.	NOUN
ejpam-7126	417	9	m.	m.	PROPN
ejpam-7126	417	10	priest	priest	PROPN
ejpam-7126	417	11	.	.	PUNCT
ejpam-7126	418	1	statistical	statistical	ADJ
ejpam-7126	418	2	aspects	aspect	NOUN
ejpam-7126	418	3	of	of	ADP
ejpam-7126	418	4	fiber	fiber	NOUN
ejpam-7126	418	5	and	and	CCONJ
ejpam-7126	418	6	bundle	bundle	NOUN
ejpam-7126	418	7	strength	strength	NOUN
ejpam-7126	418	8	in	in	ADP
ejpam-7126	418	9	hybrid	hybrid	ADJ
ejpam-7126	418	10	composites	composite	NOUN
ejpam-7126	418	11	.	.	PUNCT
ejpam-7126	419	1	progress	progress	NOUN
ejpam-7126	419	2	in	in	ADP
ejpam-7126	419	3	science	science	NOUN
ejpam-7126	419	4	and	and	CCONJ
ejpam-7126	419	5	engineering	engineering	NOUN
ejpam-7126	419	6	composites	composite	NOUN
ejpam-7126	419	7	,	,	PUNCT
ejpam-7126	419	8	86:1129–1136	86:1129–1136	NUM
ejpam-7126	419	9	,	,	PUNCT
ejpam-7126	419	10	1982	1982	NUM
ejpam-7126	419	11	.	.	PUNCT