id	sid	tid	token	lemma	pos
ejpam-6656	1	1	european	european	PROPN
ejpam-6656	1	2	journal	journal	PROPN
ejpam-6656	1	3	of	of	ADP
ejpam-6656	1	4	pure	pure	ADJ
ejpam-6656	1	5	and	and	CCONJ
ejpam-6656	1	6	applied	applied	ADJ
ejpam-6656	1	7	mathematics	mathematic	NOUN
ejpam-6656	1	8	2025	2025	NUM
ejpam-6656	1	9	,	,	PUNCT
ejpam-6656	1	10	vol	vol	NOUN
ejpam-6656	1	11	.	.	PROPN
ejpam-6656	1	12	18	18	NUM
ejpam-6656	1	13	,	,	PUNCT
ejpam-6656	1	14	issue	issue	NOUN
ejpam-6656	1	15	4	4	NUM
ejpam-6656	1	16	,	,	PUNCT
ejpam-6656	1	17	article	article	NOUN
ejpam-6656	1	18	number	number	NOUN
ejpam-6656	1	19	6656	6656	NUM
ejpam-6656	1	20	issn	issn	PROPN
ejpam-6656	1	21	1307	1307	NUM
ejpam-6656	1	22	-	-	SYM
ejpam-6656	1	23	5543	5543	NUM
ejpam-6656	1	24	–	–	PUNCT
ejpam-6656	1	25	ejpam.com	ejpam.com	X
ejpam-6656	1	26	published	publish	VERB
ejpam-6656	1	27	by	by	ADP
ejpam-6656	1	28	new	new	PROPN
ejpam-6656	1	29	york	york	PROPN
ejpam-6656	1	30	business	business	PROPN
ejpam-6656	1	31	global	global	ADJ
ejpam-6656	1	32	ranked	rank	VERB
ejpam-6656	1	33	set	set	ADJ
ejpam-6656	1	34	sampling	sampling	NOUN
ejpam-6656	1	35	-	-	PUNCT
ejpam-6656	1	36	based	base	VERB
ejpam-6656	1	37	statistical	statistical	ADJ
ejpam-6656	1	38	inference	inference	NOUN
ejpam-6656	1	39	for	for	ADP
ejpam-6656	1	40	the	the	DET
ejpam-6656	1	41	exponentiated	exponentiate	VERB
ejpam-6656	1	42	inverted	invert	VERB
ejpam-6656	1	43	weibull	weibull	NOUN
ejpam-6656	1	44	distribution	distribution	NOUN
ejpam-6656	1	45	and	and	CCONJ
ejpam-6656	1	46	its	its	PRON
ejpam-6656	1	47	variants	variant	NOUN
ejpam-6656	1	48	:	:	PUNCT
ejpam-6656	2	1	theory	theory	NOUN
ejpam-6656	2	2	,	,	PUNCT
ejpam-6656	2	3	simulation	simulation	NOUN
ejpam-6656	2	4	and	and	CCONJ
ejpam-6656	2	5	data	data	NOUN
ejpam-6656	2	6	-	-	PUNCT
ejpam-6656	2	7	driven	drive	VERB
ejpam-6656	2	8	analysis	analysis	NOUN
ejpam-6656	2	9	upama	upama	PROPN
ejpam-6656	2	10	deka1	deka1	PROPN
ejpam-6656	2	11	,	,	PUNCT
ejpam-6656	2	12	bhanita	bhanita	NOUN
ejpam-6656	2	13	das1	das1	PROPN
ejpam-6656	2	14	,	,	PUNCT
ejpam-6656	2	15	partha	partha	PROPN
ejpam-6656	2	16	jyoti	jyoti	PROPN
ejpam-6656	2	17	hazarika2	hazarika2	PROPN
ejpam-6656	2	18	,	,	PUNCT
ejpam-6656	2	19	jondeep	jondeep	PROPN
ejpam-6656	2	20	das3	das3	PROPN
ejpam-6656	2	21	,	,	PUNCT
ejpam-6656	2	22	mohamed	mohamed	PROPN
ejpam-6656	2	23	s.	s.	PROPN
ejpam-6656	2	24	eliwa4,5,∗	eliwa4,5,∗	PROPN
ejpam-6656	2	25	,	,	PUNCT
ejpam-6656	2	26	mohamed	mohamed	PROPN
ejpam-6656	2	27	f.	f.	PROPN
ejpam-6656	2	28	abouelenein6	abouelenein6	PROPN
ejpam-6656	3	1	1	1	NUM
ejpam-6656	3	2	department	department	NOUN
ejpam-6656	3	3	of	of	ADP
ejpam-6656	3	4	statistics	statistic	NOUN
ejpam-6656	3	5	,	,	PUNCT
ejpam-6656	3	6	north	north	NOUN
ejpam-6656	3	7	-	-	PUNCT
ejpam-6656	3	8	eastern	eastern	PROPN
ejpam-6656	3	9	hill	hill	PROPN
ejpam-6656	3	10	university	university	PROPN
ejpam-6656	3	11	,	,	PUNCT
ejpam-6656	3	12	shillong	shillong	PROPN
ejpam-6656	3	13	793022	793022	NUM
ejpam-6656	3	14	,	,	PUNCT
ejpam-6656	3	15	meghalaya	meghalaya	PROPN
ejpam-6656	3	16	,	,	PUNCT
ejpam-6656	3	17	india	india	PROPN
ejpam-6656	3	18	2	2	NUM
ejpam-6656	3	19	department	department	NOUN
ejpam-6656	3	20	of	of	ADP
ejpam-6656	3	21	statistics	statistic	NOUN
ejpam-6656	3	22	,	,	PUNCT
ejpam-6656	3	23	dibrugarh	dibrugarh	NOUN
ejpam-6656	3	24	university	university	NOUN
ejpam-6656	3	25	,	,	PUNCT
ejpam-6656	3	26	assam	assam	PROPN
ejpam-6656	3	27	786004	786004	NUM
ejpam-6656	3	28	,	,	PUNCT
ejpam-6656	3	29	india	india	PROPN
ejpam-6656	3	30	3	3	PROPN
ejpam-6656	3	31	department	department	PROPN
ejpam-6656	3	32	of	of	ADP
ejpam-6656	3	33	statistics	statistic	NOUN
ejpam-6656	3	34	,	,	PUNCT
ejpam-6656	3	35	bhattadev	bhattadev	PROPN
ejpam-6656	3	36	university	university	PROPN
ejpam-6656	3	37	,	,	PUNCT
ejpam-6656	3	38	assam	assam	PROPN
ejpam-6656	3	39	781325	781325	NUM
ejpam-6656	3	40	,	,	PUNCT
ejpam-6656	3	41	india	india	PROPN
ejpam-6656	3	42	4	4	NUM
ejpam-6656	3	43	department	department	NOUN
ejpam-6656	3	44	of	of	ADP
ejpam-6656	3	45	statistics	statistic	NOUN
ejpam-6656	3	46	and	and	CCONJ
ejpam-6656	3	47	operations	operation	NOUN
ejpam-6656	3	48	research	research	NOUN
ejpam-6656	3	49	,	,	PUNCT
ejpam-6656	3	50	college	college	NOUN
ejpam-6656	3	51	of	of	ADP
ejpam-6656	3	52	science	science	NOUN
ejpam-6656	3	53	,	,	PUNCT
ejpam-6656	3	54	qassim	qassim	PROPN
ejpam-6656	3	55	university	university	PROPN
ejpam-6656	3	56	,	,	PUNCT
ejpam-6656	3	57	saudi	saudi	PROPN
ejpam-6656	3	58	arabia	arabia	PROPN
ejpam-6656	3	59	5	5	NUM
ejpam-6656	3	60	department	department	NOUN
ejpam-6656	3	61	of	of	ADP
ejpam-6656	3	62	mathematics	mathematic	NOUN
ejpam-6656	3	63	,	,	PUNCT
ejpam-6656	3	64	faculty	faculty	NOUN
ejpam-6656	3	65	of	of	ADP
ejpam-6656	3	66	science	science	NOUN
ejpam-6656	3	67	,	,	PUNCT
ejpam-6656	3	68	mansoura	mansoura	PROPN
ejpam-6656	3	69	university	university	NOUN
ejpam-6656	3	70	,	,	PUNCT
ejpam-6656	3	71	mansoura	mansoura	NOUN
ejpam-6656	3	72	35516	35516	NUM
ejpam-6656	3	73	,	,	PUNCT
ejpam-6656	3	74	egypt	egypt	PROPN
ejpam-6656	3	75	6	6	NUM
ejpam-6656	3	76	department	department	NOUN
ejpam-6656	3	77	of	of	ADP
ejpam-6656	3	78	insurance	insurance	NOUN
ejpam-6656	3	79	and	and	CCONJ
ejpam-6656	3	80	risk	risk	NOUN
ejpam-6656	3	81	management	management	NOUN
ejpam-6656	3	82	,	,	PUNCT
ejpam-6656	3	83	college	college	NOUN
ejpam-6656	3	84	of	of	ADP
ejpam-6656	3	85	business	business	NOUN
ejpam-6656	3	86	,	,	PUNCT
ejpam-6656	3	87	imam	imam	PROPN
ejpam-6656	3	88	mohammad	mohammad	PROPN
ejpam-6656	3	89	ibn	ibn	PROPN
ejpam-6656	3	90	saud	saud	PROPN
ejpam-6656	3	91	islamic	islamic	PROPN
ejpam-6656	3	92	university	university	PROPN
ejpam-6656	3	93	(	(	PUNCT
ejpam-6656	3	94	imsiu	imsiu	PROPN
ejpam-6656	3	95	)	)	PUNCT
ejpam-6656	3	96	,	,	PUNCT
ejpam-6656	3	97	riyadh	riyadh	PROPN
ejpam-6656	3	98	11432	11432	NUM
ejpam-6656	3	99	,	,	PUNCT
ejpam-6656	3	100	riyadh	riyadh	PROPN
ejpam-6656	3	101	,	,	PUNCT
ejpam-6656	3	102	saudi	saudi	PROPN
ejpam-6656	3	103	arabia	arabia	PROPN
ejpam-6656	3	104	abstract	abstract	NOUN
ejpam-6656	3	105	.	.	PUNCT
ejpam-6656	4	1	when	when	SCONJ
ejpam-6656	4	2	measuring	measure	VERB
ejpam-6656	4	3	a	a	DET
ejpam-6656	4	4	key	key	ADJ
ejpam-6656	4	5	variable	variable	NOUN
ejpam-6656	4	6	is	be	AUX
ejpam-6656	4	7	difficult	difficult	ADJ
ejpam-6656	4	8	or	or	CCONJ
ejpam-6656	4	9	expensive	expensive	ADJ
ejpam-6656	4	10	,	,	PUNCT
ejpam-6656	4	11	ranked	rank	VERB
ejpam-6656	4	12	set	set	ADJ
ejpam-6656	4	13	sampling	sampling	NOUN
ejpam-6656	4	14	provides	provide	VERB
ejpam-6656	4	15	an	an	DET
ejpam-6656	4	16	effective	effective	ADJ
ejpam-6656	4	17	alternative	alternative	NOUN
ejpam-6656	4	18	for	for	ADP
ejpam-6656	4	19	collecting	collect	VERB
ejpam-6656	4	20	data	datum	NOUN
ejpam-6656	4	21	.	.	PUNCT
ejpam-6656	5	1	this	this	DET
ejpam-6656	5	2	study	study	NOUN
ejpam-6656	5	3	investigates	investigate	VERB
ejpam-6656	5	4	the	the	DET
ejpam-6656	5	5	estimation	estimation	NOUN
ejpam-6656	5	6	of	of	ADP
ejpam-6656	5	7	parameters	parameter	NOUN
ejpam-6656	5	8	for	for	ADP
ejpam-6656	5	9	the	the	DET
ejpam-6656	5	10	exponentiated	exponentiate	VERB
ejpam-6656	5	11	inverted	invert	VERB
ejpam-6656	5	12	weibull	weibull	NOUN
ejpam-6656	5	13	distribution	distribution	NOUN
ejpam-6656	5	14	using	use	VERB
ejpam-6656	5	15	ranked	rank	VERB
ejpam-6656	5	16	set	set	ADJ
ejpam-6656	5	17	sampling	sampling	NOUN
ejpam-6656	5	18	and	and	CCONJ
ejpam-6656	5	19	its	its	PRON
ejpam-6656	5	20	specific	specific	ADJ
ejpam-6656	5	21	forms	form	NOUN
ejpam-6656	5	22	,	,	PUNCT
ejpam-6656	5	23	including	include	VERB
ejpam-6656	5	24	extreme	extreme	ADJ
ejpam-6656	5	25	ranked	rank	VERB
ejpam-6656	5	26	set	set	NOUN
ejpam-6656	5	27	sampling	sampling	NOUN
ejpam-6656	5	28	and	and	CCONJ
ejpam-6656	5	29	median	median	NOUN
ejpam-6656	5	30	ranked	rank	VERB
ejpam-6656	5	31	set	set	ADJ
ejpam-6656	5	32	sampling	sampling	NOUN
ejpam-6656	5	33	.	.	PUNCT
ejpam-6656	6	1	since	since	SCONJ
ejpam-6656	6	2	the	the	DET
ejpam-6656	6	3	exponentiated	exponentiate	VERB
ejpam-6656	6	4	inverted	invert	VERB
ejpam-6656	6	5	weibull	weibull	NOUN
ejpam-6656	6	6	distribution	distribution	NOUN
ejpam-6656	6	7	is	be	AUX
ejpam-6656	6	8	widely	widely	ADV
ejpam-6656	6	9	applied	apply	VERB
ejpam-6656	6	10	in	in	ADP
ejpam-6656	6	11	the	the	DET
ejpam-6656	6	12	analysis	analysis	NOUN
ejpam-6656	6	13	of	of	ADP
ejpam-6656	6	14	lifetime	lifetime	NOUN
ejpam-6656	6	15	and	and	CCONJ
ejpam-6656	6	16	reliability	reliability	NOUN
ejpam-6656	6	17	data	datum	NOUN
ejpam-6656	6	18	,	,	PUNCT
ejpam-6656	6	19	obtaining	obtain	VERB
ejpam-6656	6	20	precise	precise	ADJ
ejpam-6656	6	21	parameter	parameter	NOUN
ejpam-6656	6	22	estimates	estimate	NOUN
ejpam-6656	6	23	is	be	AUX
ejpam-6656	6	24	essential	essential	ADJ
ejpam-6656	6	25	for	for	ADP
ejpam-6656	6	26	sound	sound	ADJ
ejpam-6656	6	27	statistical	statistical	ADJ
ejpam-6656	6	28	inference	inference	NOUN
ejpam-6656	6	29	.	.	PUNCT
ejpam-6656	7	1	the	the	DET
ejpam-6656	7	2	research	research	NOUN
ejpam-6656	7	3	compares	compare	VERB
ejpam-6656	7	4	the	the	DET
ejpam-6656	7	5	maximum	maximum	ADJ
ejpam-6656	7	6	likelihood	likelihood	NOUN
ejpam-6656	7	7	estimates	estimate	NOUN
ejpam-6656	7	8	of	of	ADP
ejpam-6656	7	9	the	the	DET
ejpam-6656	7	10	distribution	distribution	NOUN
ejpam-6656	7	11	’s	’s	PART
ejpam-6656	7	12	parameters	parameter	NOUN
ejpam-6656	7	13	under	under	ADP
ejpam-6656	7	14	different	different	ADJ
ejpam-6656	7	15	sampling	sample	VERB
ejpam-6656	7	16	schemes	scheme	NOUN
ejpam-6656	7	17	,	,	PUNCT
ejpam-6656	7	18	namely	namely	ADV
ejpam-6656	7	19	simple	simple	ADJ
ejpam-6656	7	20	random	random	ADJ
ejpam-6656	7	21	sampling	sampling	NOUN
ejpam-6656	7	22	,	,	PUNCT
ejpam-6656	7	23	ranked	rank	VERB
ejpam-6656	7	24	set	set	ADJ
ejpam-6656	7	25	sampling	sampling	NOUN
ejpam-6656	7	26	,	,	PUNCT
ejpam-6656	7	27	extreme	extreme	ADJ
ejpam-6656	7	28	ranked	rank	VERB
ejpam-6656	7	29	set	set	ADJ
ejpam-6656	7	30	sampling	sampling	NOUN
ejpam-6656	7	31	,	,	PUNCT
ejpam-6656	7	32	and	and	CCONJ
ejpam-6656	7	33	median	median	NOUN
ejpam-6656	7	34	ranked	rank	VERB
ejpam-6656	7	35	set	set	ADJ
ejpam-6656	7	36	sampling	sampling	NOUN
ejpam-6656	7	37	.	.	PUNCT
ejpam-6656	8	1	an	an	DET
ejpam-6656	8	2	extensive	extensive	ADJ
ejpam-6656	8	3	simulation	simulation	NOUN
ejpam-6656	8	4	study	study	NOUN
ejpam-6656	8	5	is	be	AUX
ejpam-6656	8	6	conducted	conduct	VERB
ejpam-6656	8	7	to	to	PART
ejpam-6656	8	8	assess	assess	VERB
ejpam-6656	8	9	the	the	DET
ejpam-6656	8	10	performance	performance	NOUN
ejpam-6656	8	11	of	of	ADP
ejpam-6656	8	12	these	these	DET
ejpam-6656	8	13	estimation	estimation	NOUN
ejpam-6656	8	14	methods	method	NOUN
ejpam-6656	8	15	in	in	ADP
ejpam-6656	8	16	terms	term	NOUN
ejpam-6656	8	17	of	of	ADP
ejpam-6656	8	18	bias	bias	NOUN
ejpam-6656	8	19	,	,	PUNCT
ejpam-6656	8	20	mean	mean	VERB
ejpam-6656	8	21	squared	square	VERB
ejpam-6656	8	22	error	error	NOUN
ejpam-6656	8	23	,	,	PUNCT
ejpam-6656	8	24	and	and	CCONJ
ejpam-6656	8	25	relative	relative	ADJ
ejpam-6656	8	26	efficiency	efficiency	NOUN
ejpam-6656	8	27	under	under	ADP
ejpam-6656	8	28	a	a	DET
ejpam-6656	8	29	range	range	NOUN
ejpam-6656	8	30	of	of	ADP
ejpam-6656	8	31	sampling	sample	VERB
ejpam-6656	8	32	conditions	condition	NOUN
ejpam-6656	8	33	.	.	PUNCT
ejpam-6656	9	1	the	the	DET
ejpam-6656	9	2	study	study	NOUN
ejpam-6656	9	3	shows	show	VERB
ejpam-6656	9	4	that	that	SCONJ
ejpam-6656	9	5	variations	variation	NOUN
ejpam-6656	9	6	in	in	ADP
ejpam-6656	9	7	the	the	DET
ejpam-6656	9	8	size	size	NOUN
ejpam-6656	9	9	of	of	ADP
ejpam-6656	9	10	the	the	DET
ejpam-6656	9	11	set	set	NOUN
ejpam-6656	9	12	and	and	CCONJ
ejpam-6656	9	13	sampling	sample	VERB
ejpam-6656	9	14	cycles	cycle	NOUN
ejpam-6656	9	15	influence	influence	VERB
ejpam-6656	9	16	the	the	DET
ejpam-6656	9	17	accuracy	accuracy	NOUN
ejpam-6656	9	18	of	of	ADP
ejpam-6656	9	19	the	the	DET
ejpam-6656	9	20	estimate	estimate	NOUN
ejpam-6656	9	21	,	,	PUNCT
ejpam-6656	9	22	with	with	ADP
ejpam-6656	9	23	ranked	rank	VERB
ejpam-6656	9	24	set	set	ADJ
ejpam-6656	9	25	sampling	sampling	NOUN
ejpam-6656	9	26	,	,	PUNCT
ejpam-6656	9	27	especially	especially	ADV
ejpam-6656	9	28	its	its	PRON
ejpam-6656	9	29	extreme	extreme	ADJ
ejpam-6656	9	30	and	and	CCONJ
ejpam-6656	9	31	median	median	ADJ
ejpam-6656	9	32	forms	form	NOUN
ejpam-6656	9	33	,	,	PUNCT
ejpam-6656	9	34	generally	generally	ADV
ejpam-6656	9	35	outperforming	outperform	VERB
ejpam-6656	9	36	simple	simple	ADJ
ejpam-6656	9	37	random	random	ADJ
ejpam-6656	9	38	sampling	sampling	NOUN
ejpam-6656	9	39	.	.	PUNCT
ejpam-6656	10	1	2020	2020	NUM
ejpam-6656	10	2	mathematics	mathematic	NOUN
ejpam-6656	10	3	subject	subject	NOUN
ejpam-6656	10	4	classifications	classification	NOUN
ejpam-6656	10	5	:	:	PUNCT
ejpam-6656	10	6	62e99	62e99	NUM
ejpam-6656	10	7	,	,	PUNCT
ejpam-6656	10	8	62e15	62e15	NUM
ejpam-6656	10	9	key	key	ADJ
ejpam-6656	10	10	words	word	NOUN
ejpam-6656	10	11	and	and	CCONJ
ejpam-6656	10	12	phrases	phrase	NOUN
ejpam-6656	10	13	:	:	PUNCT
ejpam-6656	10	14	ranked	rank	VERB
ejpam-6656	10	15	set	set	ADJ
ejpam-6656	10	16	sampling	sample	VERB
ejpam-6656	10	17	techniques	technique	NOUN
ejpam-6656	10	18	,	,	PUNCT
ejpam-6656	10	19	parameter	parameter	NOUN
ejpam-6656	10	20	estimation	estimation	NOUN
ejpam-6656	10	21	,	,	PUNCT
ejpam-6656	10	22	computer	computer	NOUN
ejpam-6656	10	23	simulation	simulation	NOUN
ejpam-6656	10	24	,	,	PUNCT
ejpam-6656	10	25	lifetime	lifetime	NOUN
ejpam-6656	10	26	data	datum	NOUN
ejpam-6656	10	27	analysis	analysis	NOUN
ejpam-6656	10	28	∗corresponding	∗corresponde	VERB
ejpam-6656	10	29	author	author	NOUN
ejpam-6656	10	30	.	.	PUNCT
ejpam-6656	11	1	doi	doi	NOUN
ejpam-6656	11	2	:	:	PUNCT
ejpam-6656	11	3	https://doi.org/10.29020/nybg.ejpam.v18i4.6656	https://doi.org/10.29020/nybg.ejpam.v18i4.6656	NUM
ejpam-6656	11	4	email	email	NOUN
ejpam-6656	11	5	addresses	address	NOUN
ejpam-6656	11	6	:	:	PUNCT
ejpam-6656	11	7	mseliwa@mans.edu.eg	mseliwa@mans.edu.eg	PROPN
ejpam-6656	11	8	(	(	PUNCT
ejpam-6656	11	9	m.	m.	PROPN
ejpam-6656	11	10	s.	s.	PROPN
ejpam-6656	11	11	eliwa	eliwa	PROPN
ejpam-6656	11	12	)	)	PUNCT
ejpam-6656	11	13	https://www.ejpam.com	https://www.ejpam.com	X
ejpam-6656	11	14	1	1	NUM
ejpam-6656	11	15	copyright	copyright	NOUN
ejpam-6656	11	16	:	:	PUNCT
ejpam-6656	12	1	©	©	PROPN
ejpam-6656	12	2	2025	2025	NUM
ejpam-6656	12	3	the	the	DET
ejpam-6656	12	4	author(s	author(s	NOUN
ejpam-6656	12	5	)	)	PUNCT
ejpam-6656	12	6	.	.	PUNCT
ejpam-6656	13	1	(	(	PUNCT
ejpam-6656	13	2	cc	cc	NOUN
ejpam-6656	13	3	by	by	ADP
ejpam-6656	13	4	-	-	PUNCT
ejpam-6656	13	5	nc	nc	PROPN
ejpam-6656	13	6	4.0	4.0	NUM
ejpam-6656	13	7	)	)	PUNCT
ejpam-6656	13	8	u.	u.	NOUN
ejpam-6656	13	9	deka	deka	PROPN
ejpam-6656	13	10	et	et	PROPN
ejpam-6656	13	11	al	al	PROPN
ejpam-6656	13	12	.	.	PUNCT
ejpam-6656	13	13	/	/	SYM
ejpam-6656	13	14	eur	eur	PROPN
ejpam-6656	13	15	.	.	PUNCT
ejpam-6656	14	1	j.	j.	PROPN
ejpam-6656	14	2	pure	pure	PROPN
ejpam-6656	14	3	appl	appl	PROPN
ejpam-6656	14	4	.	.	PROPN
ejpam-6656	14	5	math	math	PROPN
ejpam-6656	14	6	,	,	PUNCT
ejpam-6656	14	7	18	18	NUM
ejpam-6656	14	8	(	(	PUNCT
ejpam-6656	14	9	4	4	NUM
ejpam-6656	14	10	)	)	PUNCT
ejpam-6656	14	11	(	(	PUNCT
ejpam-6656	14	12	2025	2025	NUM
ejpam-6656	14	13	)	)	PUNCT
ejpam-6656	14	14	,	,	PUNCT
ejpam-6656	14	15	6656	6656	NUM
ejpam-6656	14	16	2	2	NUM
ejpam-6656	14	17	of	of	ADP
ejpam-6656	14	18	18	18	NUM
ejpam-6656	14	19	1	1	NUM
ejpam-6656	14	20	.	.	PUNCT
ejpam-6656	15	1	introduction	introduction	NOUN
ejpam-6656	15	2	in	in	ADP
ejpam-6656	15	3	lifetime	lifetime	NOUN
ejpam-6656	15	4	data	datum	NOUN
ejpam-6656	15	5	analysis	analysis	NOUN
ejpam-6656	15	6	and	and	CCONJ
ejpam-6656	15	7	reliability	reliability	NOUN
ejpam-6656	15	8	theory	theory	NOUN
ejpam-6656	15	9	,	,	PUNCT
ejpam-6656	15	10	it	it	PRON
ejpam-6656	15	11	is	be	AUX
ejpam-6656	15	12	often	often	ADV
ejpam-6656	15	13	crucial	crucial	ADJ
ejpam-6656	15	14	to	to	PART
ejpam-6656	15	15	employ	employ	VERB
ejpam-6656	15	16	flexible	flexible	ADJ
ejpam-6656	15	17	probability	probability	NOUN
ejpam-6656	15	18	models	model	NOUN
ejpam-6656	15	19	that	that	PRON
ejpam-6656	15	20	may	may	AUX
ejpam-6656	15	21	represent	represent	VERB
ejpam-6656	15	22	various	various	ADJ
ejpam-6656	15	23	hazard	hazard	NOUN
ejpam-6656	15	24	rate	rate	NOUN
ejpam-6656	15	25	patterns	pattern	NOUN
ejpam-6656	15	26	,	,	PUNCT
ejpam-6656	15	27	including	include	VERB
ejpam-6656	15	28	growing	grow	VERB
ejpam-6656	15	29	,	,	PUNCT
ejpam-6656	15	30	decreasing	decrease	VERB
ejpam-6656	15	31	,	,	PUNCT
ejpam-6656	15	32	constant	constant	ADJ
ejpam-6656	15	33	,	,	PUNCT
ejpam-6656	15	34	and	and	CCONJ
ejpam-6656	15	35	bathtub	bathtub	ADV
ejpam-6656	15	36	-	-	PUNCT
ejpam-6656	15	37	shaped	shape	VERB
ejpam-6656	15	38	failure	failure	NOUN
ejpam-6656	15	39	rates	rate	NOUN
ejpam-6656	15	40	.	.	PUNCT
ejpam-6656	16	1	the	the	DET
ejpam-6656	16	2	weibull	weibull	PROPN
ejpam-6656	16	3	distribution	distribution	NOUN
ejpam-6656	16	4	and	and	CCONJ
ejpam-6656	16	5	extreme	extreme	ADJ
ejpam-6656	16	6	value	value	NOUN
ejpam-6656	16	7	distributions	distribution	NOUN
ejpam-6656	16	8	are	be	AUX
ejpam-6656	16	9	often	often	ADV
ejpam-6656	16	10	employed	employ	VERB
ejpam-6656	16	11	models	model	NOUN
ejpam-6656	16	12	in	in	ADP
ejpam-6656	16	13	this	this	DET
ejpam-6656	16	14	area	area	NOUN
ejpam-6656	16	15	,	,	PUNCT
ejpam-6656	16	16	valued	value	VERB
ejpam-6656	16	17	for	for	ADP
ejpam-6656	16	18	their	their	PRON
ejpam-6656	16	19	analytical	analytical	ADJ
ejpam-6656	16	20	simplicity	simplicity	NOUN
ejpam-6656	16	21	and	and	CCONJ
ejpam-6656	16	22	versatility	versatility	NOUN
ejpam-6656	16	23	.	.	PUNCT
ejpam-6656	17	1	however	however	ADV
ejpam-6656	17	2	,	,	PUNCT
ejpam-6656	17	3	these	these	DET
ejpam-6656	17	4	models	model	NOUN
ejpam-6656	17	5	demonstrate	demonstrate	VERB
ejpam-6656	17	6	a	a	DET
ejpam-6656	17	7	notable	notable	ADJ
ejpam-6656	17	8	limitation	limitation	NOUN
ejpam-6656	17	9	:	:	PUNCT
ejpam-6656	17	10	they	they	PRON
ejpam-6656	17	11	can	can	AUX
ejpam-6656	17	12	not	not	PART
ejpam-6656	17	13	adequately	adequately	ADV
ejpam-6656	17	14	depict	depict	VERB
ejpam-6656	17	15	upside	upside	ADV
ejpam-6656	17	16	-	-	PUNCT
ejpam-6656	17	17	down	down	NOUN
ejpam-6656	17	18	bathtub	bathtub	NOUN
ejpam-6656	17	19	(	(	PUNCT
ejpam-6656	17	20	unimodal	unimodal	ADJ
ejpam-6656	17	21	)	)	PUNCT
ejpam-6656	17	22	hazard	hazard	NOUN
ejpam-6656	17	23	functions	function	NOUN
ejpam-6656	17	24	,	,	PUNCT
ejpam-6656	17	25	which	which	PRON
ejpam-6656	17	26	frequently	frequently	ADV
ejpam-6656	17	27	arise	arise	VERB
ejpam-6656	17	28	in	in	ADP
ejpam-6656	17	29	particular	particular	ADJ
ejpam-6656	17	30	mechanical	mechanical	ADJ
ejpam-6656	17	31	and	and	CCONJ
ejpam-6656	17	32	biological	biological	ADJ
ejpam-6656	17	33	systems	system	NOUN
ejpam-6656	17	34	.	.	PUNCT
ejpam-6656	18	1	to	to	PART
ejpam-6656	18	2	address	address	VERB
ejpam-6656	18	3	this	this	DET
ejpam-6656	18	4	limitation	limitation	NOUN
ejpam-6656	18	5	,	,	PUNCT
ejpam-6656	18	6	numerous	numerous	ADJ
ejpam-6656	18	7	extensions	extension	NOUN
ejpam-6656	18	8	and	and	CCONJ
ejpam-6656	18	9	generalizations	generalization	NOUN
ejpam-6656	18	10	of	of	ADP
ejpam-6656	18	11	these	these	DET
ejpam-6656	18	12	models	model	NOUN
ejpam-6656	18	13	have	have	AUX
ejpam-6656	18	14	been	be	AUX
ejpam-6656	18	15	developed	develop	VERB
ejpam-6656	18	16	;	;	PUNCT
ejpam-6656	18	17	see	see	VERB
ejpam-6656	18	18	[	[	X
ejpam-6656	18	19	1	1	NUM
ejpam-6656	18	20	]	]	PUNCT
ejpam-6656	18	21	,	,	PUNCT
ejpam-6656	18	22	[	[	X
ejpam-6656	18	23	2	2	NUM
ejpam-6656	18	24	]	]	PUNCT
ejpam-6656	18	25	,	,	PUNCT
ejpam-6656	18	26	[	[	X
ejpam-6656	18	27	3	3	NUM
ejpam-6656	18	28	]	]	PUNCT
ejpam-6656	18	29	,	,	PUNCT
ejpam-6656	18	30	[	[	X
ejpam-6656	18	31	4	4	NUM
ejpam-6656	18	32	]	]	PUNCT
ejpam-6656	18	33	,	,	PUNCT
ejpam-6656	18	34	[	[	X
ejpam-6656	18	35	5	5	NUM
ejpam-6656	18	36	]	]	PUNCT
ejpam-6656	18	37	,	,	PUNCT
ejpam-6656	19	1	[	[	X
ejpam-6656	19	2	6	6	NUM
ejpam-6656	19	3	]	]	PUNCT
ejpam-6656	19	4	,	,	PUNCT
ejpam-6656	19	5	[	[	X
ejpam-6656	19	6	7	7	NUM
ejpam-6656	19	7	]	]	PUNCT
ejpam-6656	19	8	,	,	PUNCT
ejpam-6656	19	9	[	[	X
ejpam-6656	19	10	8	8	NUM
ejpam-6656	19	11	]	]	PUNCT
ejpam-6656	19	12	,	,	PUNCT
ejpam-6656	19	13	and	and	CCONJ
ejpam-6656	19	14	[	[	X
ejpam-6656	19	15	9	9	NUM
ejpam-6656	19	16	]	]	PUNCT
ejpam-6656	19	17	.	.	PUNCT
ejpam-6656	20	1	these	these	PRON
ejpam-6656	20	2	upgraded	upgrade	VERB
ejpam-6656	20	3	models	model	NOUN
ejpam-6656	20	4	offer	offer	VERB
ejpam-6656	20	5	more	more	ADJ
ejpam-6656	20	6	flexibility	flexibility	NOUN
ejpam-6656	20	7	in	in	ADP
ejpam-6656	20	8	depicting	depict	VERB
ejpam-6656	20	9	complex	complex	ADJ
ejpam-6656	20	10	hazard	hazard	NOUN
ejpam-6656	20	11	rate	rate	NOUN
ejpam-6656	20	12	patterns	pattern	NOUN
ejpam-6656	20	13	,	,	PUNCT
ejpam-6656	20	14	leading	lead	VERB
ejpam-6656	20	15	to	to	ADP
ejpam-6656	20	16	superior	superior	ADJ
ejpam-6656	20	17	fitting	fitting	ADJ
ejpam-6656	20	18	and	and	CCONJ
ejpam-6656	20	19	more	more	ADV
ejpam-6656	20	20	accurate	accurate	ADJ
ejpam-6656	20	21	dependability	dependability	NOUN
ejpam-6656	20	22	assessments	assessment	NOUN
ejpam-6656	20	23	for	for	ADP
ejpam-6656	20	24	practical	practical	ADJ
ejpam-6656	20	25	applications	application	NOUN
ejpam-6656	20	26	.	.	PUNCT
ejpam-6656	21	1	the	the	DET
ejpam-6656	21	2	exponentiated	exponentiated	ADJ
ejpam-6656	21	3	inverse	inverse	NOUN
ejpam-6656	21	4	weibull	weibull	NOUN
ejpam-6656	21	5	distribution	distribution	NOUN
ejpam-6656	21	6	(	(	PUNCT
ejpam-6656	21	7	eiwd	eiwd	PROPN
ejpam-6656	21	8	)	)	PUNCT
ejpam-6656	21	9	is	be	AUX
ejpam-6656	21	10	an	an	DET
ejpam-6656	21	11	extension	extension	NOUN
ejpam-6656	21	12	model	model	NOUN
ejpam-6656	21	13	that	that	PRON
ejpam-6656	21	14	was	be	AUX
ejpam-6656	21	15	initially	initially	ADV
ejpam-6656	21	16	described	describe	VERB
ejpam-6656	21	17	and	and	CCONJ
ejpam-6656	21	18	later	later	ADV
ejpam-6656	21	19	expanded	expand	VERB
ejpam-6656	21	20	in	in	ADP
ejpam-6656	21	21	[	[	X
ejpam-6656	21	22	10	10	NUM
ejpam-6656	21	23	]	]	PUNCT
ejpam-6656	21	24	.	.	PUNCT
ejpam-6656	22	1	the	the	DET
ejpam-6656	22	2	eiwd	eiwd	PROPN
ejpam-6656	22	3	offers	offer	VERB
ejpam-6656	22	4	more	more	ADJ
ejpam-6656	22	5	versatility	versatility	NOUN
ejpam-6656	22	6	in	in	ADP
ejpam-6656	22	7	modeling	model	VERB
ejpam-6656	22	8	various	various	ADJ
ejpam-6656	22	9	hazard	hazard	NOUN
ejpam-6656	22	10	rate	rate	NOUN
ejpam-6656	22	11	forms	form	NOUN
ejpam-6656	22	12	,	,	PUNCT
ejpam-6656	22	13	rendering	render	VERB
ejpam-6656	22	14	it	it	PRON
ejpam-6656	22	15	an	an	DET
ejpam-6656	22	16	effective	effective	ADJ
ejpam-6656	22	17	instrument	instrument	NOUN
ejpam-6656	22	18	for	for	ADP
ejpam-6656	22	19	examining	examine	VERB
ejpam-6656	22	20	pertinent	pertinent	ADJ
ejpam-6656	22	21	and	and	CCONJ
ejpam-6656	22	22	applicable	applicable	ADJ
ejpam-6656	22	23	data	datum	NOUN
ejpam-6656	22	24	.	.	PUNCT
ejpam-6656	23	1	this	this	DET
ejpam-6656	23	2	model	model	NOUN
ejpam-6656	23	3	generalizes	generalize	VERB
ejpam-6656	23	4	the	the	DET
ejpam-6656	23	5	inverted	invert	VERB
ejpam-6656	23	6	weibull	weibull	NOUN
ejpam-6656	23	7	distribution	distribution	NOUN
ejpam-6656	23	8	by	by	ADP
ejpam-6656	23	9	augmenting	augment	VERB
ejpam-6656	23	10	its	its	PRON
ejpam-6656	23	11	cumulative	cumulative	ADJ
ejpam-6656	23	12	distribution	distribution	NOUN
ejpam-6656	23	13	function	function	NOUN
ejpam-6656	23	14	with	with	ADP
ejpam-6656	23	15	a	a	DET
ejpam-6656	23	16	non	non	ADJ
ejpam-6656	23	17	-	-	ADJ
ejpam-6656	23	18	negative	negative	ADJ
ejpam-6656	23	19	parameter	parameter	NOUN
ejpam-6656	23	20	,	,	PUNCT
ejpam-6656	23	21	commonly	commonly	ADV
ejpam-6656	23	22	represented	represent	VERB
ejpam-6656	23	23	as	as	ADP
ejpam-6656	23	24	θ	θ	PROPN
ejpam-6656	23	25	.	.	PUNCT
ejpam-6656	23	26	since	since	SCONJ
ejpam-6656	23	27	its	its	PRON
ejpam-6656	23	28	inception	inception	NOUN
ejpam-6656	23	29	,	,	PUNCT
ejpam-6656	23	30	the	the	DET
ejpam-6656	23	31	distribution	distribution	NOUN
ejpam-6656	23	32	has	have	AUX
ejpam-6656	23	33	garnered	garner	VERB
ejpam-6656	23	34	significant	significant	ADJ
ejpam-6656	23	35	interest	interest	NOUN
ejpam-6656	23	36	from	from	ADP
ejpam-6656	23	37	scholars	scholar	NOUN
ejpam-6656	23	38	.	.	PUNCT
ejpam-6656	24	1	for	for	ADP
ejpam-6656	24	2	example	example	NOUN
ejpam-6656	24	3	,	,	PUNCT
ejpam-6656	24	4	[	[	X
ejpam-6656	24	5	11	11	NUM
ejpam-6656	24	6	]	]	PUNCT
ejpam-6656	24	7	,	,	PUNCT
ejpam-6656	24	8	[	[	X
ejpam-6656	24	9	12	12	NUM
ejpam-6656	24	10	]	]	PUNCT
ejpam-6656	24	11	,	,	PUNCT
ejpam-6656	24	12	[	[	X
ejpam-6656	24	13	13	13	NUM
ejpam-6656	24	14	]	]	PUNCT
ejpam-6656	24	15	,	,	PUNCT
ejpam-6656	24	16	[	[	X
ejpam-6656	24	17	14	14	NUM
ejpam-6656	24	18	]	]	PUNCT
ejpam-6656	24	19	,	,	PUNCT
ejpam-6656	24	20	and	and	CCONJ
ejpam-6656	24	21	[	[	X
ejpam-6656	24	22	15	15	NUM
ejpam-6656	24	23	]	]	PUNCT
ejpam-6656	24	24	.	.	PUNCT
ejpam-6656	25	1	furthermore	furthermore	ADV
ejpam-6656	25	2	,	,	PUNCT
ejpam-6656	25	3	[	[	X
ejpam-6656	25	4	16	16	NUM
ejpam-6656	25	5	]	]	PUNCT
ejpam-6656	25	6	employed	employ	VERB
ejpam-6656	25	7	the	the	DET
ejpam-6656	25	8	morgenstern	morgenstern	ADJ
ejpam-6656	25	9	approach	approach	NOUN
ejpam-6656	25	10	to	to	PART
ejpam-6656	25	11	develop	develop	VERB
ejpam-6656	25	12	a	a	DET
ejpam-6656	25	13	bivariate	bivariate	ADJ
ejpam-6656	25	14	variant	variant	NOUN
ejpam-6656	25	15	of	of	ADP
ejpam-6656	25	16	the	the	DET
ejpam-6656	25	17	distribution	distribution	NOUN
ejpam-6656	25	18	.	.	PUNCT
ejpam-6656	26	1	when	when	SCONJ
ejpam-6656	26	2	a	a	DET
ejpam-6656	26	3	random	random	ADJ
ejpam-6656	26	4	variable	variable	NOUN
ejpam-6656	26	5	x	x	NOUN
ejpam-6656	26	6	adheres	adhere	VERB
ejpam-6656	26	7	to	to	ADP
ejpam-6656	26	8	the	the	DET
ejpam-6656	26	9	eiwd	eiwd	PROPN
ejpam-6656	26	10	with	with	ADP
ejpam-6656	26	11	shape	shape	NOUN
ejpam-6656	26	12	parameters	parameter	NOUN
ejpam-6656	26	13	β	β	X
ejpam-6656	26	14	>	>	X
ejpam-6656	26	15	0	0	PUNCT
ejpam-6656	26	16	and	and	CCONJ
ejpam-6656	26	17	θ	θ	X
ejpam-6656	26	18	>	>	PUNCT
ejpam-6656	26	19	0	0	NUM
ejpam-6656	26	20	,	,	PUNCT
ejpam-6656	26	21	its	its	PRON
ejpam-6656	26	22	cumulative	cumulative	ADJ
ejpam-6656	26	23	distribution	distribution	NOUN
ejpam-6656	26	24	function	function	NOUN
ejpam-6656	26	25	(	(	PUNCT
ejpam-6656	26	26	cdf	cdf	PROPN
ejpam-6656	26	27	)	)	PUNCT
ejpam-6656	26	28	is	be	AUX
ejpam-6656	26	29	articulated	articulate	VERB
ejpam-6656	26	30	as	as	SCONJ
ejpam-6656	26	31	follows	follow	VERB
ejpam-6656	26	32	:	:	PUNCT
ejpam-6656	27	1	f	f	PROPN
ejpam-6656	27	2	(	(	PUNCT
ejpam-6656	27	3	x;β	x;β	PROPN
ejpam-6656	27	4	,	,	PUNCT
ejpam-6656	27	5	θ	θ	NOUN
ejpam-6656	27	6	)	)	PUNCT
ejpam-6656	27	7	=	=	SYM
ejpam-6656	28	1	e−θx−β	e−θx−β	PROPN
ejpam-6656	28	2	,	,	PUNCT
ejpam-6656	28	3	x	x	X
ejpam-6656	28	4	>	>	X
ejpam-6656	28	5	0	0	NUM
ejpam-6656	28	6	.	.	PUNCT
ejpam-6656	29	1	(	(	PUNCT
ejpam-6656	29	2	1	1	X
ejpam-6656	29	3	)	)	PUNCT
ejpam-6656	29	4	the	the	DET
ejpam-6656	29	5	following	follow	VERB
ejpam-6656	29	6	is	be	AUX
ejpam-6656	29	7	the	the	DET
ejpam-6656	29	8	probability	probability	NOUN
ejpam-6656	29	9	density	density	NOUN
ejpam-6656	29	10	function	function	NOUN
ejpam-6656	29	11	(	(	PUNCT
ejpam-6656	29	12	pdf	pdf	NOUN
ejpam-6656	29	13	)	)	PUNCT
ejpam-6656	29	14	,	,	PUNCT
ejpam-6656	29	15	f(x;β	f(x;β	PROPN
ejpam-6656	29	16	,	,	PUNCT
ejpam-6656	29	17	θ	θ	NOUN
ejpam-6656	29	18	)	)	PUNCT
ejpam-6656	29	19	=	=	SYM
ejpam-6656	29	20	θβx−(β+1)e−θx−β	θβx−(β+1)e−θx−β	PROPN
ejpam-6656	29	21	,	,	PUNCT
ejpam-6656	29	22	x	x	PROPN
ejpam-6656	29	23	>	>	X
ejpam-6656	29	24	0	0	NUM
ejpam-6656	29	25	.	.	PUNCT
ejpam-6656	30	1	(	(	PUNCT
ejpam-6656	30	2	2	2	X
ejpam-6656	30	3	)	)	PUNCT
ejpam-6656	30	4	the	the	DET
ejpam-6656	30	5	inverted	inverted	ADJ
ejpam-6656	30	6	weibull	weibull	NOUN
ejpam-6656	30	7	distribution	distribution	NOUN
ejpam-6656	30	8	,	,	PUNCT
ejpam-6656	30	9	which	which	PRON
ejpam-6656	30	10	is	be	AUX
ejpam-6656	30	11	obtained	obtain	VERB
ejpam-6656	30	12	when	when	SCONJ
ejpam-6656	30	13	θ	θ	PROPN
ejpam-6656	30	14	=	=	SYM
ejpam-6656	30	15	1	1	NUM
ejpam-6656	30	16	,	,	PUNCT
ejpam-6656	30	17	is	be	AUX
ejpam-6656	30	18	generalized	generalize	VERB
ejpam-6656	30	19	by	by	ADP
ejpam-6656	30	20	the	the	DET
ejpam-6656	30	21	eiwd	eiwd	PROPN
ejpam-6656	30	22	,	,	PUNCT
ejpam-6656	30	23	which	which	PRON
ejpam-6656	30	24	is	be	AUX
ejpam-6656	30	25	a	a	DET
ejpam-6656	30	26	flexible	flexible	ADJ
ejpam-6656	30	27	lifespan	lifespan	NOUN
ejpam-6656	30	28	model	model	NOUN
ejpam-6656	30	29	that	that	PRON
ejpam-6656	30	30	may	may	AUX
ejpam-6656	30	31	be	be	AUX
ejpam-6656	30	32	applied	apply	VERB
ejpam-6656	30	33	over	over	ADP
ejpam-6656	30	34	the	the	DET
ejpam-6656	30	35	course	course	NOUN
ejpam-6656	30	36	of	of	ADP
ejpam-6656	30	37	one	one	NUM
ejpam-6656	30	38	’s	’s	PART
ejpam-6656	30	39	entire	entire	ADJ
ejpam-6656	30	40	life	life	NOUN
ejpam-6656	30	41	.	.	PUNCT
ejpam-6656	31	1	the	the	DET
ejpam-6656	31	2	density	density	NOUN
ejpam-6656	31	3	and	and	CCONJ
ejpam-6656	31	4	hazard	hazard	NOUN
ejpam-6656	31	5	functions	function	NOUN
ejpam-6656	31	6	are	be	AUX
ejpam-6656	31	7	able	able	ADJ
ejpam-6656	31	8	to	to	PART
ejpam-6656	31	9	assume	assume	VERB
ejpam-6656	31	10	a	a	DET
ejpam-6656	31	11	greater	great	ADJ
ejpam-6656	31	12	number	number	NOUN
ejpam-6656	31	13	of	of	ADP
ejpam-6656	31	14	different	different	ADJ
ejpam-6656	31	15	forms	form	NOUN
ejpam-6656	31	16	thanks	thank	NOUN
ejpam-6656	31	17	to	to	ADP
ejpam-6656	31	18	the	the	DET
ejpam-6656	31	19	presence	presence	NOUN
ejpam-6656	31	20	of	of	ADP
ejpam-6656	31	21	the	the	DET
ejpam-6656	31	22	additional	additional	ADJ
ejpam-6656	31	23	exponentiation	exponentiation	NOUN
ejpam-6656	31	24	parameter	parameter	NOUN
ejpam-6656	31	25	,	,	PUNCT
ejpam-6656	31	26	θ	θ	PROPN
ejpam-6656	31	27	.	.	PROPN
ejpam-6656	31	28	on	on	ADP
ejpam-6656	31	29	account	account	NOUN
ejpam-6656	31	30	of	of	ADP
ejpam-6656	31	31	this	this	PRON
ejpam-6656	31	32	,	,	PUNCT
ejpam-6656	31	33	the	the	DET
ejpam-6656	31	34	eiwd	eiwd	PROPN
ejpam-6656	31	35	is	be	AUX
ejpam-6656	31	36	especially	especially	ADV
ejpam-6656	31	37	well	well	ADV
ejpam-6656	31	38	-	-	PUNCT
ejpam-6656	31	39	suited	suit	VERB
ejpam-6656	31	40	for	for	ADP
ejpam-6656	31	41	the	the	DET
ejpam-6656	31	42	analysis	analysis	NOUN
ejpam-6656	31	43	of	of	ADP
ejpam-6656	31	44	complicated	complicated	ADJ
ejpam-6656	31	45	dependability	dependability	NOUN
ejpam-6656	31	46	data	datum	NOUN
ejpam-6656	31	47	.	.	PUNCT
ejpam-6656	32	1	figure	figure	NOUN
ejpam-6656	32	2	1	1	NUM
ejpam-6656	32	3	illustrates	illustrate	VERB
ejpam-6656	32	4	the	the	DET
ejpam-6656	32	5	estimated	estimate	VERB
ejpam-6656	32	6	individual	individual	ADJ
ejpam-6656	32	7	working	work	VERB
ejpam-6656	32	8	duration	duration	NOUN
ejpam-6656	32	9	eiwd	eiwd	PROPN
ejpam-6656	32	10	using	use	VERB
ejpam-6656	32	11	a	a	DET
ejpam-6656	32	12	number	number	NOUN
ejpam-6656	32	13	of	of	ADP
ejpam-6656	32	14	different	different	ADJ
ejpam-6656	32	15	shapes	shape	NOUN
ejpam-6656	32	16	for	for	ADP
ejpam-6656	32	17	probability	probability	NOUN
ejpam-6656	32	18	density	density	NOUN
ejpam-6656	32	19	functions	function	NOUN
ejpam-6656	32	20	(	(	PUNCT
ejpam-6656	32	21	pdfs	pdfs	PROPN
ejpam-6656	32	22	)	)	PUNCT
ejpam-6656	32	23	and	and	CCONJ
ejpam-6656	32	24	hazard	hazard	NOUN
ejpam-6656	32	25	rates	rate	NOUN
ejpam-6656	32	26	.	.	PUNCT
ejpam-6656	33	1	the	the	DET
ejpam-6656	33	2	graphs	graph	NOUN
ejpam-6656	33	3	demonstrate	demonstrate	VERB
ejpam-6656	33	4	that	that	SCONJ
ejpam-6656	33	5	the	the	DET
ejpam-6656	33	6	pdf	pdf	NOUN
ejpam-6656	33	7	that	that	PRON
ejpam-6656	33	8	is	be	AUX
ejpam-6656	33	9	available	available	ADJ
ejpam-6656	33	10	from	from	ADP
ejpam-6656	33	11	eiwd	eiwd	PROPN
ejpam-6656	33	12	is	be	AUX
ejpam-6656	33	13	skewed	skew	VERB
ejpam-6656	33	14	to	to	ADP
ejpam-6656	33	15	the	the	DET
ejpam-6656	33	16	right	right	NOUN
ejpam-6656	33	17	,	,	PUNCT
ejpam-6656	33	18	and	and	CCONJ
ejpam-6656	33	19	the	the	DET
ejpam-6656	33	20	hazard	hazard	NOUN
ejpam-6656	33	21	rate	rate	NOUN
ejpam-6656	33	22	function	function	NOUN
ejpam-6656	33	23	curve	curve	NOUN
ejpam-6656	33	24	has	have	VERB
ejpam-6656	33	25	a	a	DET
ejpam-6656	33	26	unimodal	unimodal	ADJ
ejpam-6656	33	27	form	form	NOUN
ejpam-6656	33	28	that	that	PRON
ejpam-6656	33	29	is	be	AUX
ejpam-6656	33	30	similar	similar	ADJ
ejpam-6656	33	31	to	to	ADP
ejpam-6656	33	32	an	an	DET
ejpam-6656	33	33	upside	upside	NOUN
ejpam-6656	33	34	-	-	PUNCT
ejpam-6656	33	35	down	down	ADP
ejpam-6656	33	36	bathtub	bathtub	NOUN
ejpam-6656	33	37	.	.	PUNCT
ejpam-6656	34	1	this	this	DET
ejpam-6656	34	2	shape	shape	NOUN
ejpam-6656	34	3	grows	grow	VERB
ejpam-6656	34	4	to	to	ADP
ejpam-6656	34	5	a	a	DET
ejpam-6656	34	6	single	single	ADJ
ejpam-6656	34	7	peak	peak	NOUN
ejpam-6656	34	8	before	before	SCONJ
ejpam-6656	34	9	it	it	PRON
ejpam-6656	34	10	decreases	decrease	VERB
ejpam-6656	34	11	again	again	ADV
ejpam-6656	34	12	.	.	PUNCT
ejpam-6656	35	1	eiwd	eiwd	PROPN
ejpam-6656	35	2	is	be	AUX
ejpam-6656	35	3	especially	especially	ADV
ejpam-6656	35	4	advantageous	advantageous	ADJ
ejpam-6656	35	5	for	for	ADP
ejpam-6656	35	6	systems	system	NOUN
ejpam-6656	35	7	or	or	CCONJ
ejpam-6656	35	8	components	component	NOUN
ejpam-6656	35	9	in	in	ADP
ejpam-6656	35	10	which	which	PRON
ejpam-6656	35	11	the	the	DET
ejpam-6656	35	12	failure	failure	NOUN
ejpam-6656	35	13	rates	rate	NOUN
ejpam-6656	35	14	initially	initially	ADV
ejpam-6656	35	15	rise	rise	VERB
ejpam-6656	35	16	(	(	PUNCT
ejpam-6656	35	17	early	early	ADJ
ejpam-6656	35	18	wear	wear	NOUN
ejpam-6656	35	19	-	-	PUNCT
ejpam-6656	35	20	out	out	NOUN
ejpam-6656	35	21	)	)	PUNCT
ejpam-6656	35	22	and	and	CCONJ
ejpam-6656	35	23	then	then	ADV
ejpam-6656	35	24	fall	fall	VERB
ejpam-6656	35	25	(	(	PUNCT
ejpam-6656	35	26	age	age	NOUN
ejpam-6656	35	27	survivors	survivor	NOUN
ejpam-6656	35	28	)	)	PUNCT
ejpam-6656	35	29	.	.	PUNCT
ejpam-6656	36	1	for	for	ADP
ejpam-6656	36	2	this	this	DET
ejpam-6656	36	3	reason	reason	NOUN
ejpam-6656	36	4	,	,	PUNCT
ejpam-6656	36	5	when	when	SCONJ
ejpam-6656	36	6	it	it	PRON
ejpam-6656	36	7	comes	come	VERB
ejpam-6656	36	8	to	to	ADP
ejpam-6656	36	9	survival	survival	NOUN
ejpam-6656	36	10	or	or	CCONJ
ejpam-6656	36	11	reliability	reliability	NOUN
ejpam-6656	36	12	studies	study	NOUN
ejpam-6656	36	13	,	,	PUNCT
ejpam-6656	36	14	it	it	PRON
ejpam-6656	36	15	is	be	AUX
ejpam-6656	36	16	considered	consider	VERB
ejpam-6656	36	17	to	to	PART
ejpam-6656	36	18	be	be	AUX
ejpam-6656	36	19	more	more	ADV
ejpam-6656	36	20	flexible	flexible	ADJ
ejpam-6656	36	21	than	than	ADP
ejpam-6656	36	22	either	either	CCONJ
ejpam-6656	36	23	the	the	DET
ejpam-6656	36	24	weibull	weibull	NOUN
ejpam-6656	36	25	distribution	distribution	NOUN
ejpam-6656	36	26	or	or	CCONJ
ejpam-6656	36	27	the	the	DET
ejpam-6656	36	28	inverted	inverted	ADJ
ejpam-6656	36	29	weibull	weibull	NOUN
ejpam-6656	36	30	distribution	distribution	NOUN
ejpam-6656	36	31	.	.	PUNCT
ejpam-6656	37	1	simple	simple	ADJ
ejpam-6656	37	2	random	random	ADJ
ejpam-6656	37	3	sampling	sampling	NOUN
ejpam-6656	37	4	(	(	PUNCT
ejpam-6656	37	5	srs	srs	PROPN
ejpam-6656	37	6	)	)	PUNCT
ejpam-6656	37	7	is	be	AUX
ejpam-6656	37	8	the	the	DET
ejpam-6656	37	9	method	method	NOUN
ejpam-6656	37	10	that	that	PRON
ejpam-6656	37	11	is	be	AUX
ejpam-6656	37	12	most	most	ADV
ejpam-6656	37	13	commonly	commonly	ADV
ejpam-6656	37	14	used	use	VERB
ejpam-6656	37	15	to	to	PART
ejpam-6656	37	16	estimate	estimate	VERB
ejpam-6656	37	17	the	the	DET
ejpam-6656	37	18	parameters	parameter	NOUN
ejpam-6656	37	19	of	of	ADP
ejpam-6656	37	20	a	a	DET
ejpam-6656	37	21	distribution	distribution	NOUN
ejpam-6656	37	22	.	.	PUNCT
ejpam-6656	38	1	u.	u.	PROPN
ejpam-6656	38	2	deka	deka	PROPN
ejpam-6656	38	3	et	et	PROPN
ejpam-6656	38	4	al	al	PROPN
ejpam-6656	38	5	.	.	PUNCT
ejpam-6656	38	6	/	/	SYM
ejpam-6656	38	7	eur	eur	PROPN
ejpam-6656	38	8	.	.	PUNCT
ejpam-6656	39	1	j.	j.	PROPN
ejpam-6656	39	2	pure	pure	PROPN
ejpam-6656	39	3	appl	appl	PROPN
ejpam-6656	39	4	.	.	PROPN
ejpam-6656	39	5	math	math	PROPN
ejpam-6656	39	6	,	,	PUNCT
ejpam-6656	39	7	18	18	NUM
ejpam-6656	39	8	(	(	PUNCT
ejpam-6656	39	9	4	4	NUM
ejpam-6656	39	10	)	)	PUNCT
ejpam-6656	39	11	(	(	PUNCT
ejpam-6656	39	12	2025	2025	NUM
ejpam-6656	39	13	)	)	PUNCT
ejpam-6656	39	14	,	,	PUNCT
ejpam-6656	39	15	6656	6656	NUM
ejpam-6656	39	16	3	3	NUM
ejpam-6656	39	17	of	of	ADP
ejpam-6656	39	18	18	18	NUM
ejpam-6656	39	19	despite	despite	SCONJ
ejpam-6656	39	20	the	the	DET
ejpam-6656	39	21	conceptual	conceptual	ADJ
ejpam-6656	39	22	simplicity	simplicity	NOUN
ejpam-6656	39	23	of	of	ADP
ejpam-6656	39	24	srs	srs	PROPN
ejpam-6656	39	25	,	,	PUNCT
ejpam-6656	39	26	it	it	PRON
ejpam-6656	39	27	frequently	frequently	ADV
ejpam-6656	39	28	results	result	VERB
ejpam-6656	39	29	in	in	ADP
ejpam-6656	39	30	estimators	estimator	NOUN
ejpam-6656	39	31	that	that	PRON
ejpam-6656	39	32	have	have	VERB
ejpam-6656	39	33	a	a	DET
ejpam-6656	39	34	comparatively	comparatively	ADV
ejpam-6656	39	35	high	high	ADJ
ejpam-6656	39	36	variance	variance	NOUN
ejpam-6656	39	37	,	,	PUNCT
ejpam-6656	39	38	particularly	particularly	ADV
ejpam-6656	39	39	when	when	SCONJ
ejpam-6656	39	40	precise	precise	ADJ
ejpam-6656	39	41	data	datum	NOUN
ejpam-6656	39	42	or	or	CCONJ
ejpam-6656	39	43	measurements	measurement	NOUN
ejpam-6656	39	44	that	that	PRON
ejpam-6656	39	45	are	be	AUX
ejpam-6656	39	46	difficult	difficult	ADJ
ejpam-6656	39	47	to	to	PART
ejpam-6656	39	48	collect	collect	VERB
ejpam-6656	39	49	are	be	AUX
ejpam-6656	39	50	required	require	VERB
ejpam-6656	39	51	.	.	PUNCT
ejpam-6656	40	1	as	as	ADP
ejpam-6656	40	2	a	a	DET
ejpam-6656	40	3	more	more	ADV
ejpam-6656	40	4	efficient	efficient	ADJ
ejpam-6656	40	5	alternative	alternative	NOUN
ejpam-6656	40	6	,	,	PUNCT
ejpam-6656	40	7	ranked	rank	VERB
ejpam-6656	40	8	set	set	ADJ
ejpam-6656	40	9	sampling	sampling	NOUN
ejpam-6656	40	10	(	(	PUNCT
ejpam-6656	40	11	rss	rss	NOUN
ejpam-6656	40	12	)	)	PUNCT
ejpam-6656	40	13	was	be	AUX
ejpam-6656	40	14	created	create	VERB
ejpam-6656	40	15	to	to	PART
ejpam-6656	40	16	alleviate	alleviate	VERB
ejpam-6656	40	17	this	this	DET
ejpam-6656	40	18	constraint	constraint	NOUN
ejpam-6656	40	19	.	.	PUNCT
ejpam-6656	41	1	rss	rss	PROPN
ejpam-6656	41	2	,	,	PUNCT
ejpam-6656	41	3	which	which	PRON
ejpam-6656	41	4	was	be	AUX
ejpam-6656	41	5	first	first	ADV
ejpam-6656	41	6	proposed	propose	VERB
ejpam-6656	41	7	by	by	ADP
ejpam-6656	41	8	[	[	X
ejpam-6656	41	9	17	17	NUM
ejpam-6656	41	10	]	]	PUNCT
ejpam-6656	41	11	,	,	PUNCT
ejpam-6656	41	12	in	in	ADP
ejpam-6656	41	13	order	order	NOUN
ejpam-6656	41	14	to	to	PART
ejpam-6656	41	15	improve	improve	VERB
ejpam-6656	41	16	the	the	DET
ejpam-6656	41	17	efficiency	efficiency	NOUN
ejpam-6656	41	18	of	of	ADP
ejpam-6656	41	19	estimate	estimate	NOUN
ejpam-6656	41	20	without	without	ADP
ejpam-6656	41	21	expanding	expand	VERB
ejpam-6656	41	22	the	the	DET
ejpam-6656	41	23	sample	sample	NOUN
ejpam-6656	41	24	size	size	NOUN
ejpam-6656	41	25	,	,	PUNCT
ejpam-6656	41	26	rss	rss	NOUN
ejpam-6656	41	27	employs	employ	VERB
ejpam-6656	41	28	either	either	CCONJ
ejpam-6656	41	29	judgmental	judgmental	ADJ
ejpam-6656	41	30	ranking	ranking	ADJ
ejpam-6656	41	31	or	or	CCONJ
ejpam-6656	41	32	supplementary	supplementary	ADJ
ejpam-6656	41	33	information	information	NOUN
ejpam-6656	41	34	.	.	PUNCT
ejpam-6656	42	1	for	for	ADP
ejpam-6656	42	2	the	the	DET
ejpam-6656	42	3	purpose	purpose	NOUN
ejpam-6656	42	4	of	of	ADP
ejpam-6656	42	5	ranking	rank	VERB
ejpam-6656	42	6	sampling	sample	VERB
ejpam-6656	42	7	units	unit	NOUN
ejpam-6656	42	8	,	,	PUNCT
ejpam-6656	42	9	the	the	DET
ejpam-6656	42	10	introduction	introduction	NOUN
ejpam-6656	42	11	of	of	ADP
ejpam-6656	42	12	auxiliary	auxiliary	ADJ
ejpam-6656	42	13	variables	variable	NOUN
ejpam-6656	42	14	was	be	AUX
ejpam-6656	42	15	first	first	ADV
ejpam-6656	42	16	proposed	propose	VERB
ejpam-6656	42	17	by	by	ADP
ejpam-6656	42	18	[	[	X
ejpam-6656	42	19	18	18	NUM
ejpam-6656	42	20	]	]	PUNCT
ejpam-6656	42	21	.	.	PUNCT
ejpam-6656	43	1	refer	refer	VERB
ejpam-6656	43	2	to	to	ADP
ejpam-6656	43	3	the	the	DET
ejpam-6656	43	4	following	follow	VERB
ejpam-6656	43	5	sources	source	NOUN
ejpam-6656	43	6	for	for	ADP
ejpam-6656	43	7	additional	additional	ADJ
ejpam-6656	43	8	information	information	NOUN
ejpam-6656	43	9	:	:	PUNCT
ejpam-6656	44	1	[	[	X
ejpam-6656	44	2	19	19	NUM
ejpam-6656	44	3	]	]	PUNCT
ejpam-6656	44	4	and	and	CCONJ
ejpam-6656	44	5	[	[	X
ejpam-6656	44	6	20	20	NUM
ejpam-6656	44	7	]	]	PUNCT
ejpam-6656	44	8	.	.	PUNCT
ejpam-6656	45	1	figure	figure	NOUN
ejpam-6656	45	2	1	1	NUM
ejpam-6656	45	3	:	:	PUNCT
ejpam-6656	45	4	the	the	DET
ejpam-6656	45	5	pdf	pdf	NOUN
ejpam-6656	45	6	and	and	CCONJ
ejpam-6656	45	7	hazard	hazard	NOUN
ejpam-6656	45	8	rate	rate	NOUN
ejpam-6656	45	9	plots	plot	NOUN
ejpam-6656	45	10	for	for	ADP
ejpam-6656	45	11	the	the	DET
ejpam-6656	45	12	eiwd	eiwd	PROPN
ejpam-6656	45	13	.	.	PUNCT
ejpam-6656	46	1	since	since	SCONJ
ejpam-6656	46	2	its	its	PRON
ejpam-6656	46	3	inception	inception	NOUN
ejpam-6656	46	4	,	,	PUNCT
ejpam-6656	46	5	other	other	ADJ
ejpam-6656	46	6	adaptations	adaptation	NOUN
ejpam-6656	46	7	of	of	ADP
ejpam-6656	46	8	rss	rss	NOUN
ejpam-6656	46	9	have	have	AUX
ejpam-6656	46	10	been	be	AUX
ejpam-6656	46	11	suggested	suggest	VERB
ejpam-6656	46	12	,	,	PUNCT
ejpam-6656	46	13	including	include	VERB
ejpam-6656	46	14	extreme	extreme	ADJ
ejpam-6656	46	15	ranked	rank	VERB
ejpam-6656	46	16	set	set	NOUN
ejpam-6656	46	17	sampling	sampling	NOUN
ejpam-6656	46	18	(	(	PUNCT
ejpam-6656	46	19	erss	erss	ADV
ejpam-6656	46	20	)	)	PUNCT
ejpam-6656	46	21	by	by	ADP
ejpam-6656	46	22	[	[	X
ejpam-6656	46	23	21	21	NUM
ejpam-6656	46	24	]	]	PUNCT
ejpam-6656	46	25	,	,	PUNCT
ejpam-6656	46	26	which	which	PRON
ejpam-6656	46	27	concentrates	concentrate	VERB
ejpam-6656	46	28	on	on	ADP
ejpam-6656	46	29	extreme	extreme	ADJ
ejpam-6656	46	30	order	order	NOUN
ejpam-6656	46	31	statistics	statistic	NOUN
ejpam-6656	46	32	,	,	PUNCT
ejpam-6656	46	33	and	and	CCONJ
ejpam-6656	46	34	median	median	NOUN
ejpam-6656	46	35	ranked	rank	VERB
ejpam-6656	46	36	set	set	ADJ
ejpam-6656	46	37	sampling	sampling	NOUN
ejpam-6656	46	38	(	(	PUNCT
ejpam-6656	46	39	mrss	mrss	NOUN
ejpam-6656	46	40	)	)	PUNCT
ejpam-6656	46	41	by	by	ADP
ejpam-6656	46	42	[	[	X
ejpam-6656	46	43	22	22	NUM
ejpam-6656	46	44	]	]	PUNCT
ejpam-6656	46	45	,	,	PUNCT
ejpam-6656	46	46	which	which	PRON
ejpam-6656	46	47	highlights	highlight	VERB
ejpam-6656	46	48	central	central	ADJ
ejpam-6656	46	49	observations	observation	NOUN
ejpam-6656	46	50	.	.	PUNCT
ejpam-6656	47	1	depending	depend	VERB
ejpam-6656	47	2	on	on	ADP
ejpam-6656	47	3	how	how	SCONJ
ejpam-6656	47	4	the	the	DET
ejpam-6656	47	5	data	data	NOUN
ejpam-6656	47	6	is	be	AUX
ejpam-6656	47	7	distributed	distribute	VERB
ejpam-6656	47	8	,	,	PUNCT
ejpam-6656	47	9	each	each	PRON
ejpam-6656	47	10	of	of	ADP
ejpam-6656	47	11	these	these	DET
ejpam-6656	47	12	approaches	approach	NOUN
ejpam-6656	47	13	has	have	VERB
ejpam-6656	47	14	its	its	PRON
ejpam-6656	47	15	own	own	ADJ
ejpam-6656	47	16	benefits	benefit	NOUN
ejpam-6656	47	17	.	.	PUNCT
ejpam-6656	48	1	the	the	DET
ejpam-6656	48	2	rss	rss	NOUN
ejpam-6656	48	3	is	be	AUX
ejpam-6656	48	4	a	a	DET
ejpam-6656	48	5	non	non	ADJ
ejpam-6656	48	6	-	-	ADJ
ejpam-6656	48	7	parametric	parametric	ADJ
ejpam-6656	48	8	method	method	NOUN
ejpam-6656	48	9	that	that	PRON
ejpam-6656	48	10	has	have	AUX
ejpam-6656	48	11	been	be	AUX
ejpam-6656	48	12	widely	widely	ADV
ejpam-6656	48	13	researched	research	VERB
ejpam-6656	48	14	for	for	ADP
ejpam-6656	48	15	estimating	estimate	VERB
ejpam-6656	48	16	parameters	parameter	NOUN
ejpam-6656	48	17	of	of	ADP
ejpam-6656	48	18	several	several	ADJ
ejpam-6656	48	19	well	well	ADV
ejpam-6656	48	20	-	-	PUNCT
ejpam-6656	48	21	established	establish	VERB
ejpam-6656	48	22	statistical	statistical	ADJ
ejpam-6656	48	23	distributions	distribution	NOUN
ejpam-6656	48	24	.	.	PUNCT
ejpam-6656	49	1	recent	recent	ADJ
ejpam-6656	49	2	research	research	NOUN
ejpam-6656	49	3	underscores	underscore	VERB
ejpam-6656	49	4	the	the	DET
ejpam-6656	49	5	efficacy	efficacy	NOUN
ejpam-6656	49	6	of	of	ADP
ejpam-6656	49	7	ranked	rank	VERB
ejpam-6656	49	8	set	set	NOUN
ejpam-6656	49	9	sampling	sample	VERB
ejpam-6656	49	10	in	in	ADP
ejpam-6656	49	11	enhancing	enhance	VERB
ejpam-6656	49	12	statistical	statistical	ADJ
ejpam-6656	49	13	inference	inference	NOUN
ejpam-6656	49	14	.	.	PUNCT
ejpam-6656	50	1	for	for	ADP
ejpam-6656	50	2	instance	instance	NOUN
ejpam-6656	50	3	,	,	PUNCT
ejpam-6656	50	4	[	[	X
ejpam-6656	50	5	23	23	NUM
ejpam-6656	50	6	]	]	PUNCT
ejpam-6656	50	7	investigated	investigate	VERB
ejpam-6656	50	8	both	both	DET
ejpam-6656	50	9	maximum	maximum	ADJ
ejpam-6656	50	10	likelihood	likelihood	NOUN
ejpam-6656	50	11	and	and	CCONJ
ejpam-6656	50	12	bayesian	bayesian	NOUN
ejpam-6656	50	13	estimation	estimation	NOUN
ejpam-6656	50	14	techniques	technique	NOUN
ejpam-6656	50	15	for	for	ADP
ejpam-6656	50	16	the	the	DET
ejpam-6656	50	17	rayleigh	rayleigh	PROPN
ejpam-6656	50	18	distribution	distribution	NOUN
ejpam-6656	50	19	.	.	PUNCT
ejpam-6656	51	1	likewise	likewise	ADV
ejpam-6656	51	2	,	,	PUNCT
ejpam-6656	51	3	[	[	X
ejpam-6656	51	4	24	24	NUM
ejpam-6656	51	5	]	]	X
ejpam-6656	51	6	utilized	utilize	VERB
ejpam-6656	51	7	maximum	maximum	ADJ
ejpam-6656	51	8	likelihood	likelihood	NOUN
ejpam-6656	51	9	methods	method	NOUN
ejpam-6656	51	10	to	to	PART
ejpam-6656	51	11	ascertain	ascertain	VERB
ejpam-6656	51	12	the	the	DET
ejpam-6656	51	13	shape	shape	NOUN
ejpam-6656	51	14	and	and	CCONJ
ejpam-6656	51	15	scale	scale	NOUN
ejpam-6656	51	16	parameters	parameter	NOUN
ejpam-6656	51	17	of	of	ADP
ejpam-6656	51	18	the	the	DET
ejpam-6656	51	19	generalized	generalized	ADJ
ejpam-6656	51	20	rayleigh	rayleigh	NOUN
ejpam-6656	51	21	distribution	distribution	NOUN
ejpam-6656	51	22	.	.	PUNCT
ejpam-6656	52	1	[	[	X
ejpam-6656	52	2	25	25	NUM
ejpam-6656	52	3	]	]	PUNCT
ejpam-6656	52	4	examined	examine	VERB
ejpam-6656	52	5	the	the	DET
ejpam-6656	52	6	characteristics	characteristic	NOUN
ejpam-6656	52	7	and	and	CCONJ
ejpam-6656	52	8	estimation	estimation	NOUN
ejpam-6656	52	9	of	of	ADP
ejpam-6656	52	10	two	two	NUM
ejpam-6656	52	11	-	-	PUNCT
ejpam-6656	52	12	parameter	parameter	NOUN
ejpam-6656	52	13	lifetime	lifetime	NOUN
ejpam-6656	52	14	models	model	NOUN
ejpam-6656	52	15	under	under	ADP
ejpam-6656	52	16	rss	rss	NOUN
ejpam-6656	52	17	,	,	PUNCT
ejpam-6656	52	18	whereas	whereas	SCONJ
ejpam-6656	52	19	[	[	X
ejpam-6656	52	20	26	26	NUM
ejpam-6656	52	21	]	]	X
ejpam-6656	52	22	utilized	utilize	VERB
ejpam-6656	52	23	traditional	traditional	ADJ
ejpam-6656	52	24	estimation	estimation	NOUN
ejpam-6656	52	25	techniques	technique	NOUN
ejpam-6656	52	26	with	with	ADP
ejpam-6656	52	27	rss	rss	NOUN
ejpam-6656	52	28	to	to	PART
ejpam-6656	52	29	analyze	analyze	VERB
ejpam-6656	52	30	the	the	DET
ejpam-6656	52	31	inverse	inverse	NOUN
ejpam-6656	52	32	power	power	NOUN
ejpam-6656	52	33	cauchy	cauchy	NOUN
ejpam-6656	52	34	distribution	distribution	NOUN
ejpam-6656	52	35	.	.	PUNCT
ejpam-6656	53	1	this	this	DET
ejpam-6656	53	2	work	work	NOUN
ejpam-6656	53	3	examines	examine	VERB
ejpam-6656	53	4	parameter	parameter	NOUN
ejpam-6656	53	5	estimation	estimation	NOUN
ejpam-6656	53	6	for	for	ADP
ejpam-6656	53	7	the	the	DET
ejpam-6656	53	8	eiwd	eiwd	PROPN
ejpam-6656	53	9	under	under	ADP
ejpam-6656	53	10	srs	srs	PROPN
ejpam-6656	53	11	,	,	PUNCT
ejpam-6656	53	12	rss	rss	NOUN
ejpam-6656	53	13	,	,	PUNCT
ejpam-6656	53	14	erss	erss	ADJ
ejpam-6656	53	15	,	,	PUNCT
ejpam-6656	53	16	and	and	CCONJ
ejpam-6656	53	17	mrss	mrss	NOUN
ejpam-6656	53	18	,	,	PUNCT
ejpam-6656	53	19	motivated	motivate	VERB
ejpam-6656	53	20	by	by	ADP
ejpam-6656	53	21	recent	recent	ADJ
ejpam-6656	53	22	advancements	advancement	NOUN
ejpam-6656	53	23	,	,	PUNCT
ejpam-6656	53	24	with	with	ADP
ejpam-6656	53	25	the	the	DET
ejpam-6656	53	26	objective	objective	NOUN
ejpam-6656	53	27	of	of	ADP
ejpam-6656	53	28	developing	develop	VERB
ejpam-6656	53	29	sample	sample	NOUN
ejpam-6656	53	30	strategies	strategy	NOUN
ejpam-6656	53	31	that	that	PRON
ejpam-6656	53	32	enhance	enhance	VERB
ejpam-6656	53	33	efficiency	efficiency	NOUN
ejpam-6656	53	34	and	and	CCONJ
ejpam-6656	53	35	accuracy	accuracy	NOUN
ejpam-6656	53	36	in	in	ADP
ejpam-6656	53	37	lifetime	lifetime	NOUN
ejpam-6656	53	38	data	datum	NOUN
ejpam-6656	53	39	modeling	modeling	NOUN
ejpam-6656	53	40	.	.	PUNCT
ejpam-6656	54	1	the	the	DET
ejpam-6656	54	2	main	main	ADJ
ejpam-6656	54	3	aim	aim	NOUN
ejpam-6656	54	4	of	of	ADP
ejpam-6656	54	5	this	this	DET
ejpam-6656	54	6	research	research	NOUN
ejpam-6656	54	7	is	be	AUX
ejpam-6656	54	8	to	to	PART
ejpam-6656	54	9	examine	examine	VERB
ejpam-6656	54	10	the	the	DET
ejpam-6656	54	11	estimation	estimation	NOUN
ejpam-6656	54	12	of	of	ADP
ejpam-6656	54	13	shape	shape	NOUN
ejpam-6656	54	14	parameters	parameter	NOUN
ejpam-6656	54	15	for	for	ADP
ejpam-6656	54	16	the	the	DET
ejpam-6656	54	17	eiwd	eiwd	PROPN
ejpam-6656	54	18	utilizing	utilize	VERB
ejpam-6656	54	19	the	the	DET
ejpam-6656	54	20	maximum	maximum	ADJ
ejpam-6656	54	21	likelihood	likelihood	NOUN
ejpam-6656	54	22	method	method	NOUN
ejpam-6656	54	23	in	in	ADP
ejpam-6656	54	24	the	the	DET
ejpam-6656	54	25	context	context	NOUN
ejpam-6656	54	26	of	of	ADP
ejpam-6656	54	27	ranked	rank	VERB
ejpam-6656	54	28	set	set	ADJ
ejpam-6656	54	29	sampling	sampling	NOUN
ejpam-6656	54	30	and	and	CCONJ
ejpam-6656	54	31	its	its	PRON
ejpam-6656	54	32	modified	modified	ADJ
ejpam-6656	54	33	variants	variant	NOUN
ejpam-6656	54	34	.	.	PUNCT
ejpam-6656	55	1	the	the	DET
ejpam-6656	55	2	study	study	NOUN
ejpam-6656	55	3	specifically	specifically	ADV
ejpam-6656	55	4	examines	examine	VERB
ejpam-6656	55	5	two	two	NUM
ejpam-6656	55	6	prominent	prominent	ADJ
ejpam-6656	55	7	variations	variation	NOUN
ejpam-6656	55	8	of	of	ADP
ejpam-6656	55	9	the	the	DET
ejpam-6656	55	10	ranked	rank	VERB
ejpam-6656	55	11	set	set	ADJ
ejpam-6656	55	12	sampling	sampling	NOUN
ejpam-6656	55	13	technique	technique	NOUN
ejpam-6656	55	14	:	:	PUNCT
ejpam-6656	55	15	erss	erss	NOUN
ejpam-6656	55	16	and	and	CCONJ
ejpam-6656	55	17	mrss	mrss	ADJ
ejpam-6656	55	18	.	.	PUNCT
ejpam-6656	56	1	standard	standard	ADJ
ejpam-6656	56	2	rss	rss	NOUN
ejpam-6656	56	3	enhances	enhance	VERB
ejpam-6656	56	4	efficiency	efficiency	NOUN
ejpam-6656	56	5	by	by	ADP
ejpam-6656	56	6	rating	rate	VERB
ejpam-6656	56	7	all	all	DET
ejpam-6656	56	8	units	unit	NOUN
ejpam-6656	56	9	,	,	PUNCT
ejpam-6656	56	10	but	but	CCONJ
ejpam-6656	56	11	erss	erss	ADV
ejpam-6656	56	12	and	and	CCONJ
ejpam-6656	56	13	mrss	mrss	NOUN
ejpam-6656	56	14	are	be	AUX
ejpam-6656	56	15	specific	specific	ADJ
ejpam-6656	56	16	adaptations	adaptation	NOUN
ejpam-6656	56	17	aimed	aim	VERB
ejpam-6656	56	18	at	at	ADP
ejpam-6656	56	19	leveraging	leverage	VERB
ejpam-6656	56	20	either	either	CCONJ
ejpam-6656	56	21	the	the	DET
ejpam-6656	56	22	tails	tail	NOUN
ejpam-6656	56	23	(	(	PUNCT
ejpam-6656	56	24	erss	erss	ADV
ejpam-6656	56	25	)	)	PUNCT
ejpam-6656	56	26	or	or	CCONJ
ejpam-6656	56	27	the	the	DET
ejpam-6656	56	28	center	center	NOUN
ejpam-6656	56	29	(	(	PUNCT
ejpam-6656	56	30	mrss	mrss	NOUN
ejpam-6656	56	31	)	)	PUNCT
ejpam-6656	56	32	of	of	ADP
ejpam-6656	56	33	the	the	DET
ejpam-6656	56	34	distribution	distribution	NOUN
ejpam-6656	56	35	.	.	PUNCT
ejpam-6656	57	1	utilizing	utilize	VERB
ejpam-6656	57	2	them	they	PRON
ejpam-6656	57	3	in	in	ADP
ejpam-6656	57	4	conjunction	conjunction	NOUN
ejpam-6656	57	5	with	with	ADP
ejpam-6656	57	6	rss	rss	NOUN
ejpam-6656	57	7	enables	enable	NOUN
ejpam-6656	57	8	u.	u.	PROPN
ejpam-6656	57	9	deka	deka	PROPN
ejpam-6656	57	10	et	et	PROPN
ejpam-6656	57	11	al	al	PROPN
ejpam-6656	57	12	.	.	PUNCT
ejpam-6656	57	13	/	/	SYM
ejpam-6656	57	14	eur	eur	PROPN
ejpam-6656	57	15	.	.	PUNCT
ejpam-6656	58	1	j.	j.	PROPN
ejpam-6656	58	2	pure	pure	PROPN
ejpam-6656	58	3	appl	appl	PROPN
ejpam-6656	58	4	.	.	PROPN
ejpam-6656	58	5	math	math	PROPN
ejpam-6656	58	6	,	,	PUNCT
ejpam-6656	58	7	18	18	NUM
ejpam-6656	58	8	(	(	PUNCT
ejpam-6656	58	9	4	4	NUM
ejpam-6656	58	10	)	)	PUNCT
ejpam-6656	58	11	(	(	PUNCT
ejpam-6656	58	12	2025	2025	NUM
ejpam-6656	58	13	)	)	PUNCT
ejpam-6656	58	14	,	,	PUNCT
ejpam-6656	58	15	6656	6656	NUM
ejpam-6656	58	16	4	4	NUM
ejpam-6656	58	17	of	of	ADP
ejpam-6656	58	18	18	18	NUM
ejpam-6656	58	19	a	a	DET
ejpam-6656	58	20	comparison	comparison	NOUN
ejpam-6656	58	21	of	of	ADP
ejpam-6656	58	22	which	which	PRON
ejpam-6656	58	23	design	design	NOUN
ejpam-6656	58	24	yields	yield	VERB
ejpam-6656	58	25	the	the	DET
ejpam-6656	58	26	most	most	ADV
ejpam-6656	58	27	efficient	efficient	ADJ
ejpam-6656	58	28	estimates	estimate	NOUN
ejpam-6656	58	29	for	for	ADP
ejpam-6656	58	30	eiwd	eiwd	PROPN
ejpam-6656	58	31	parameters	parameter	NOUN
ejpam-6656	58	32	across	across	ADP
ejpam-6656	58	33	various	various	ADJ
ejpam-6656	58	34	data	datum	NOUN
ejpam-6656	58	35	structures	structure	NOUN
ejpam-6656	58	36	.	.	PUNCT
ejpam-6656	59	1	the	the	DET
ejpam-6656	59	2	paper	paper	NOUN
ejpam-6656	59	3	is	be	AUX
ejpam-6656	59	4	structured	structure	VERB
ejpam-6656	59	5	as	as	SCONJ
ejpam-6656	59	6	follows	follow	VERB
ejpam-6656	59	7	:	:	PUNCT
ejpam-6656	59	8	for	for	ADP
ejpam-6656	59	9	the	the	DET
ejpam-6656	59	10	parameters	parameter	NOUN
ejpam-6656	59	11	β	β	X
ejpam-6656	59	12	and	and	CCONJ
ejpam-6656	59	13	θ	θ	PROPN
ejpam-6656	59	14	of	of	ADP
ejpam-6656	59	15	eiwd	eiwd	PROPN
ejpam-6656	59	16	,	,	PUNCT
ejpam-6656	59	17	the	the	DET
ejpam-6656	59	18	maximum	maximum	ADJ
ejpam-6656	59	19	likelihood	likelihood	NOUN
ejpam-6656	59	20	estimation	estimation	NOUN
ejpam-6656	59	21	equations	equation	NOUN
ejpam-6656	59	22	are	be	AUX
ejpam-6656	59	23	derived	derive	VERB
ejpam-6656	59	24	in	in	ADP
ejpam-6656	59	25	section	section	NOUN
ejpam-6656	59	26	2	2	NUM
ejpam-6656	59	27	using	use	VERB
ejpam-6656	59	28	the	the	DET
ejpam-6656	59	29	sampling	sample	VERB
ejpam-6656	59	30	procedures	procedure	NOUN
ejpam-6656	59	31	.	.	PUNCT
ejpam-6656	60	1	section	section	NOUN
ejpam-6656	60	2	3	3	NUM
ejpam-6656	60	3	presents	present	VERB
ejpam-6656	60	4	the	the	DET
ejpam-6656	60	5	results	result	NOUN
ejpam-6656	60	6	of	of	ADP
ejpam-6656	60	7	a	a	DET
ejpam-6656	60	8	thorough	thorough	ADJ
ejpam-6656	60	9	simulation	simulation	NOUN
ejpam-6656	60	10	analysis	analysis	NOUN
ejpam-6656	60	11	that	that	PRON
ejpam-6656	60	12	compares	compare	VERB
ejpam-6656	60	13	the	the	DET
ejpam-6656	60	14	efficiency	efficiency	NOUN
ejpam-6656	60	15	of	of	ADP
ejpam-6656	60	16	several	several	ADJ
ejpam-6656	60	17	sampling	sampling	NOUN
ejpam-6656	60	18	methods	method	NOUN
ejpam-6656	60	19	.	.	PUNCT
ejpam-6656	61	1	over	over	ADP
ejpam-6656	61	2	a	a	DET
ejpam-6656	61	3	variety	variety	NOUN
ejpam-6656	61	4	of	of	ADP
ejpam-6656	61	5	parameter	parameter	NOUN
ejpam-6656	61	6	settings	setting	NOUN
ejpam-6656	61	7	and	and	CCONJ
ejpam-6656	61	8	sample	sample	NOUN
ejpam-6656	61	9	sizes	size	NOUN
ejpam-6656	61	10	,	,	PUNCT
ejpam-6656	61	11	the	the	DET
ejpam-6656	61	12	assessment	assessment	NOUN
ejpam-6656	61	13	is	be	AUX
ejpam-6656	61	14	based	base	VERB
ejpam-6656	61	15	on	on	ADP
ejpam-6656	61	16	a	a	DET
ejpam-6656	61	17	number	number	NOUN
ejpam-6656	61	18	of	of	ADP
ejpam-6656	61	19	statistical	statistical	ADJ
ejpam-6656	61	20	metrics	metric	NOUN
ejpam-6656	61	21	,	,	PUNCT
ejpam-6656	61	22	such	such	ADJ
ejpam-6656	61	23	as	as	ADP
ejpam-6656	61	24	relative	relative	ADJ
ejpam-6656	61	25	efficiency	efficiency	NOUN
ejpam-6656	61	26	,	,	PUNCT
ejpam-6656	61	27	bias	bias	NOUN
ejpam-6656	61	28	,	,	PUNCT
ejpam-6656	61	29	and	and	CCONJ
ejpam-6656	61	30	mean	mean	VERB
ejpam-6656	61	31	squared	square	VERB
ejpam-6656	61	32	error	error	NOUN
ejpam-6656	61	33	.	.	PUNCT
ejpam-6656	62	1	to	to	PART
ejpam-6656	62	2	further	far	ADV
ejpam-6656	62	3	illustrate	illustrate	VERB
ejpam-6656	62	4	how	how	SCONJ
ejpam-6656	62	5	the	the	DET
ejpam-6656	62	6	relative	relative	ADJ
ejpam-6656	62	7	efficiency	efficiency	NOUN
ejpam-6656	62	8	reacts	react	VERB
ejpam-6656	62	9	to	to	PART
ejpam-6656	62	10	parameter	parameter	NOUN
ejpam-6656	62	11	value	value	NOUN
ejpam-6656	62	12	changes	change	NOUN
ejpam-6656	62	13	in	in	ADP
ejpam-6656	62	14	the	the	DET
ejpam-6656	62	15	ranked	rank	VERB
ejpam-6656	62	16	set	set	NOUN
ejpam-6656	62	17	sampling	sample	VERB
ejpam-6656	62	18	schemes	scheme	NOUN
ejpam-6656	62	19	,	,	PUNCT
ejpam-6656	62	20	this	this	DET
ejpam-6656	62	21	section	section	NOUN
ejpam-6656	62	22	also	also	ADV
ejpam-6656	62	23	contains	contain	VERB
ejpam-6656	62	24	visual	visual	ADJ
ejpam-6656	62	25	representations	representation	NOUN
ejpam-6656	62	26	.	.	PUNCT
ejpam-6656	63	1	the	the	DET
ejpam-6656	63	2	suggested	suggest	VERB
ejpam-6656	63	3	methods	method	NOUN
ejpam-6656	63	4	are	be	AUX
ejpam-6656	63	5	shown	show	VERB
ejpam-6656	63	6	to	to	PART
ejpam-6656	63	7	be	be	AUX
ejpam-6656	63	8	practical	practical	ADJ
ejpam-6656	63	9	in	in	ADP
ejpam-6656	63	10	section	section	NOUN
ejpam-6656	63	11	4	4	NUM
ejpam-6656	63	12	by	by	ADP
ejpam-6656	63	13	applying	apply	VERB
ejpam-6656	63	14	them	they	PRON
ejpam-6656	63	15	to	to	ADP
ejpam-6656	63	16	real	real	ADJ
ejpam-6656	63	17	-	-	PUNCT
ejpam-6656	63	18	world	world	NOUN
ejpam-6656	63	19	data	datum	NOUN
ejpam-6656	63	20	.	.	PUNCT
ejpam-6656	64	1	section	section	NOUN
ejpam-6656	64	2	5	5	NUM
ejpam-6656	64	3	provides	provide	VERB
ejpam-6656	64	4	a	a	DET
ejpam-6656	64	5	brief	brief	ADJ
ejpam-6656	64	6	summary	summary	NOUN
ejpam-6656	64	7	of	of	ADP
ejpam-6656	64	8	the	the	DET
ejpam-6656	64	9	paper	paper	NOUN
ejpam-6656	64	10	’s	’s	PART
ejpam-6656	64	11	findings	finding	NOUN
ejpam-6656	64	12	and	and	CCONJ
ejpam-6656	64	13	discusses	discuss	VERB
ejpam-6656	64	14	their	their	PRON
ejpam-6656	64	15	ramifications	ramification	NOUN
ejpam-6656	64	16	before	before	ADP
ejpam-6656	64	17	calling	call	VERB
ejpam-6656	64	18	it	it	PRON
ejpam-6656	64	19	quits	quit	VERB
ejpam-6656	64	20	.	.	PUNCT
ejpam-6656	65	1	2	2	X
ejpam-6656	65	2	.	.	X
ejpam-6656	65	3	maximum	maximum	ADJ
ejpam-6656	65	4	likelihood	likelihood	NOUN
ejpam-6656	65	5	estimation	estimation	NOUN
ejpam-6656	65	6	for	for	ADP
ejpam-6656	65	7	eiwd	eiwd	PRON
ejpam-6656	65	8	using	use	VERB
ejpam-6656	65	9	various	various	ADJ
ejpam-6656	65	10	sampling	sample	VERB
ejpam-6656	65	11	schemes	scheme	NOUN
ejpam-6656	65	12	2.1	2.1	NUM
ejpam-6656	65	13	.	.	PUNCT
ejpam-6656	66	1	estimation	estimation	NOUN
ejpam-6656	66	2	of	of	ADP
ejpam-6656	66	3	parameters	parameter	NOUN
ejpam-6656	66	4	through	through	ADP
ejpam-6656	66	5	srs	srs	PROPN
ejpam-6656	66	6	if	if	SCONJ
ejpam-6656	66	7	a	a	DET
ejpam-6656	66	8	random	random	ADJ
ejpam-6656	66	9	sample	sample	NOUN
ejpam-6656	66	10	of	of	ADP
ejpam-6656	66	11	size	size	NOUN
ejpam-6656	66	12	n	n	AUX
ejpam-6656	66	13	is	be	AUX
ejpam-6656	66	14	drawn	draw	VERB
ejpam-6656	66	15	from	from	ADP
ejpam-6656	66	16	the	the	DET
ejpam-6656	66	17	eiwd	eiwd	PROPN
ejpam-6656	66	18	with	with	ADP
ejpam-6656	66	19	parameters	parameter	NOUN
ejpam-6656	66	20	β	β	X
ejpam-6656	66	21	and	and	CCONJ
ejpam-6656	66	22	θ	θ	PROPN
ejpam-6656	66	23	,	,	PUNCT
ejpam-6656	66	24	denoted	denote	VERB
ejpam-6656	66	25	by	by	ADP
ejpam-6656	66	26	x1	x1	PROPN
ejpam-6656	66	27	,	,	PUNCT
ejpam-6656	66	28	x2	x2	PROPN
ejpam-6656	66	29	,	,	PUNCT
ejpam-6656	66	30	.	.	PUNCT
ejpam-6656	66	31	.	.	PUNCT
ejpam-6656	66	32	.	.	PUNCT
ejpam-6656	67	1	xn	xn	PROPN
ejpam-6656	67	2	,	,	PUNCT
ejpam-6656	67	3	then	then	ADV
ejpam-6656	67	4	the	the	DET
ejpam-6656	67	5	likelihood	likelihood	NOUN
ejpam-6656	67	6	function	function	VERB
ejpam-6656	67	7	l(β	l(β	PROPN
ejpam-6656	67	8	,	,	PUNCT
ejpam-6656	67	9	θ	θ	NOUN
ejpam-6656	67	10	)	)	PUNCT
ejpam-6656	67	11	and	and	CCONJ
ejpam-6656	67	12	the	the	DET
ejpam-6656	67	13	log	log	NOUN
ejpam-6656	67	14	-	-	PUNCT
ejpam-6656	67	15	likelihood	likelihood	NOUN
ejpam-6656	67	16	function	function	NOUN
ejpam-6656	67	17	l(β	l(β	PROPN
ejpam-6656	67	18	,	,	PUNCT
ejpam-6656	67	19	θ	θ	NOUN
ejpam-6656	67	20	)	)	PUNCT
ejpam-6656	67	21	are	be	AUX
ejpam-6656	67	22	expressed	express	VERB
ejpam-6656	67	23	as	as	SCONJ
ejpam-6656	67	24	follows	follow	VERB
ejpam-6656	67	25	:	:	PUNCT
ejpam-6656	67	26	l(β	l(β	PROPN
ejpam-6656	67	27	,	,	PUNCT
ejpam-6656	67	28	θ;x	θ;x	PRON
ejpam-6656	67	29	)	)	PUNCT
ejpam-6656	67	30	=	=	PUNCT
ejpam-6656	67	31	n∏	n∏	PROPN
ejpam-6656	67	32	i=1	i=1	PROPN
ejpam-6656	67	33	f(xi;β	f(xi;β	PROPN
ejpam-6656	67	34	,	,	PUNCT
ejpam-6656	67	35	θ	θ	NOUN
ejpam-6656	67	36	)	)	PUNCT
ejpam-6656	67	37	=	=	VERB
ejpam-6656	67	38	θnβn	θnβn	PROPN
ejpam-6656	67	39	n∏	n∏	PROPN
ejpam-6656	67	40	i=1	i=1	NOUN
ejpam-6656	67	41	x	x	SYM
ejpam-6656	67	42	−(β+1	−(β+1	NOUN
ejpam-6656	67	43	)	)	PUNCT
ejpam-6656	68	1	i	i	PRON
ejpam-6656	68	2	(	(	PUNCT
ejpam-6656	68	3	e−x−β	e−x−β	INTJ
ejpam-6656	68	4	i	i	NOUN
ejpam-6656	68	5	)	)	PUNCT
ejpam-6656	68	6	θ	θ	PROPN
ejpam-6656	68	7	.	.	PUNCT
ejpam-6656	69	1	(	(	PUNCT
ejpam-6656	69	2	3	3	X
ejpam-6656	69	3	)	)	PUNCT
ejpam-6656	69	4	then	then	ADV
ejpam-6656	69	5	,	,	PUNCT
ejpam-6656	69	6	l(β	l(β	PROPN
ejpam-6656	69	7	,	,	PUNCT
ejpam-6656	69	8	θ	θ	NOUN
ejpam-6656	69	9	)	)	PUNCT
ejpam-6656	69	10	=	=	SYM
ejpam-6656	69	11	n	n	CCONJ
ejpam-6656	69	12	log	log	VERB
ejpam-6656	69	13	θ	θ	PROPN
ejpam-6656	69	14	+	+	CCONJ
ejpam-6656	69	15	n	n	CCONJ
ejpam-6656	69	16	log	log	VERB
ejpam-6656	69	17	β	β	PROPN
ejpam-6656	69	18	−	−	PROPN
ejpam-6656	70	1	(	(	PUNCT
ejpam-6656	70	2	β	β	X
ejpam-6656	70	3	+	+	NOUN
ejpam-6656	70	4	1	1	X
ejpam-6656	70	5	)	)	PUNCT
ejpam-6656	70	6	n∑	n∑	NOUN
ejpam-6656	71	1	i=1	i=1	PROPN
ejpam-6656	71	2	log	log	NOUN
ejpam-6656	71	3	xi	xi	PUNCT
ejpam-6656	71	4	−	−	PROPN
ejpam-6656	72	1	θ	θ	PROPN
ejpam-6656	72	2	n∑	n∑	PROPN
ejpam-6656	73	1	i=1	i=1	PROPN
ejpam-6656	73	2	x−β	x−β	PROPN
ejpam-6656	74	1	i	i	PRON
ejpam-6656	74	2	.	.	PUNCT
ejpam-6656	75	1	(	(	PUNCT
ejpam-6656	75	2	4	4	NUM
ejpam-6656	75	3	)	)	PUNCT
ejpam-6656	75	4	by	by	ADP
ejpam-6656	75	5	taking	take	VERB
ejpam-6656	75	6	the	the	DET
ejpam-6656	75	7	derivatives	derivative	NOUN
ejpam-6656	75	8	with	with	ADP
ejpam-6656	75	9	respect	respect	NOUN
ejpam-6656	75	10	to	to	ADP
ejpam-6656	75	11	β	β	PROPN
ejpam-6656	75	12	and	and	CCONJ
ejpam-6656	75	13	θ	θ	PROPN
ejpam-6656	75	14	,	,	PUNCT
ejpam-6656	75	15	from	from	ADP
ejpam-6656	75	16	(	(	PUNCT
ejpam-6656	75	17	4	4	NUM
ejpam-6656	75	18	):	):	PUNCT
ejpam-6656	75	19	∂l	∂l	PROPN
ejpam-6656	75	20	∂θ	∂θ	NOUN
ejpam-6656	75	21	=	=	PUNCT
ejpam-6656	75	22	n	n	NUM
ejpam-6656	75	23	θ	θ	NOUN
ejpam-6656	75	24	−	−	PROPN
ejpam-6656	76	1	n∑	n∑	INTJ
ejpam-6656	76	2	i=1	i=1	PROPN
ejpam-6656	77	1	x−β	x−β	PROPN
ejpam-6656	78	1	i	i	PRON
ejpam-6656	78	2	,	,	PUNCT
ejpam-6656	78	3	(	(	PUNCT
ejpam-6656	78	4	5	5	X
ejpam-6656	78	5	)	)	PUNCT
ejpam-6656	78	6	∂l	∂l	NOUN
ejpam-6656	79	1	∂β	∂β	PROPN
ejpam-6656	79	2	=	=	PUNCT
ejpam-6656	79	3	n	n	PROPN
ejpam-6656	79	4	β	β	NOUN
ejpam-6656	79	5	−	−	PROPN
ejpam-6656	80	1	n∑	n∑	PROPN
ejpam-6656	81	1	i=1	i=1	PROPN
ejpam-6656	81	2	log	log	VERB
ejpam-6656	81	3	xi	xi	PUNCT
ejpam-6656	82	1	+	+	CCONJ
ejpam-6656	82	2	θ	θ	PROPN
ejpam-6656	82	3	n∑	n∑	PROPN
ejpam-6656	83	1	i=1	i=1	PROPN
ejpam-6656	83	2	x−β	x−β	PROPN
ejpam-6656	84	1	i	i	PRON
ejpam-6656	84	2	·	·	PUNCT
ejpam-6656	84	3	log	log	VERB
ejpam-6656	84	4	xi	xi	PROPN
ejpam-6656	84	5	.	.	PUNCT
ejpam-6656	85	1	(	(	PUNCT
ejpam-6656	85	2	6	6	NUM
ejpam-6656	85	3	)	)	PUNCT
ejpam-6656	85	4	from	from	ADP
ejpam-6656	85	5	(	(	PUNCT
ejpam-6656	85	6	5	5	NUM
ejpam-6656	85	7	)	)	PUNCT
ejpam-6656	85	8	,	,	PUNCT
ejpam-6656	85	9	the	the	DET
ejpam-6656	85	10	mle	mle	NOUN
ejpam-6656	85	11	of	of	ADP
ejpam-6656	85	12	θ	θ	PROPN
ejpam-6656	85	13	as	as	ADP
ejpam-6656	85	14	a	a	DET
ejpam-6656	85	15	function	function	NOUN
ejpam-6656	85	16	of	of	ADP
ejpam-6656	85	17	β	β	PROPN
ejpam-6656	85	18	is	be	AUX
ejpam-6656	85	19	obtained	obtain	VERB
ejpam-6656	85	20	as	as	ADP
ejpam-6656	85	21	follows	follow	VERB
ejpam-6656	85	22	:	:	PUNCT
ejpam-6656	85	23	θ̂(β	θ̂(β	X
ejpam-6656	85	24	)	)	PUNCT
ejpam-6656	85	25	=	=	SYM
ejpam-6656	85	26	n∑n	n∑n	PROPN
ejpam-6656	85	27	i=1	i=1	PROPN
ejpam-6656	85	28	x	x	PUNCT
ejpam-6656	86	1	−β	−β	PROPN
ejpam-6656	86	2	i	i	PRON
ejpam-6656	86	3	.	.	PUNCT
ejpam-6656	87	1	(	(	PUNCT
ejpam-6656	87	2	7	7	X
ejpam-6656	87	3	)	)	PUNCT
ejpam-6656	87	4	using	use	VERB
ejpam-6656	87	5	(	(	PUNCT
ejpam-6656	87	6	7	7	NUM
ejpam-6656	87	7	)	)	PUNCT
ejpam-6656	87	8	in	in	ADP
ejpam-6656	87	9	(	(	PUNCT
ejpam-6656	87	10	4	4	NUM
ejpam-6656	87	11	)	)	PUNCT
ejpam-6656	87	12	,	,	PUNCT
ejpam-6656	87	13	we	we	PRON
ejpam-6656	87	14	have	have	VERB
ejpam-6656	87	15	:	:	PUNCT
ejpam-6656	87	16	l	l	NOUN
ejpam-6656	87	17	(	(	PUNCT
ejpam-6656	87	18	θ̂(β	θ̂(β	NOUN
ejpam-6656	87	19	)	)	PUNCT
ejpam-6656	87	20	,	,	PUNCT
ejpam-6656	87	21	β	β	X
ejpam-6656	87	22	)	)	PUNCT
ejpam-6656	88	1	=	=	SYM
ejpam-6656	88	2	n	n	NUM
ejpam-6656	88	3	log	log	NOUN
ejpam-6656	88	4	(	(	PUNCT
ejpam-6656	88	5	n∑n	n∑n	PROPN
ejpam-6656	88	6	i=1	i=1	PROPN
ejpam-6656	88	7	x	x	PUNCT
ejpam-6656	88	8	−β	−β	PROPN
ejpam-6656	88	9	i	i	NOUN
ejpam-6656	88	10	)	)	PUNCT
ejpam-6656	89	1	+	+	CCONJ
ejpam-6656	89	2	n	n	CCONJ
ejpam-6656	89	3	log	log	VERB
ejpam-6656	89	4	β	β	PROPN
ejpam-6656	89	5	−	−	PROPN
ejpam-6656	90	1	(	(	PUNCT
ejpam-6656	90	2	β	β	X
ejpam-6656	90	3	+	+	NOUN
ejpam-6656	90	4	1	1	X
ejpam-6656	90	5	)	)	PUNCT
ejpam-6656	90	6	n∑	n∑	NOUN
ejpam-6656	91	1	i=1	i=1	PROPN
ejpam-6656	91	2	log	log	NOUN
ejpam-6656	91	3	xi	xi	PUNCT
ejpam-6656	92	1	−	−	PROPN
ejpam-6656	92	2	n.	n.	NOUN
ejpam-6656	92	3	(	(	PUNCT
ejpam-6656	92	4	8)	8)	NUM
ejpam-6656	92	5	u.	u.	NOUN
ejpam-6656	92	6	deka	deka	PROPN
ejpam-6656	92	7	et	et	PROPN
ejpam-6656	92	8	al	al	PROPN
ejpam-6656	92	9	.	.	PUNCT
ejpam-6656	92	10	/	/	SYM
ejpam-6656	92	11	eur	eur	PROPN
ejpam-6656	92	12	.	.	PUNCT
ejpam-6656	93	1	j.	j.	PROPN
ejpam-6656	93	2	pure	pure	PROPN
ejpam-6656	93	3	appl	appl	PROPN
ejpam-6656	93	4	.	.	PROPN
ejpam-6656	93	5	math	math	PROPN
ejpam-6656	93	6	,	,	PUNCT
ejpam-6656	93	7	18	18	NUM
ejpam-6656	93	8	(	(	PUNCT
ejpam-6656	93	9	4	4	NUM
ejpam-6656	93	10	)	)	PUNCT
ejpam-6656	93	11	(	(	PUNCT
ejpam-6656	93	12	2025	2025	NUM
ejpam-6656	93	13	)	)	PUNCT
ejpam-6656	93	14	,	,	PUNCT
ejpam-6656	93	15	6656	6656	NUM
ejpam-6656	93	16	5	5	NUM
ejpam-6656	93	17	of	of	ADP
ejpam-6656	93	18	18	18	NUM
ejpam-6656	93	19	by	by	ADP
ejpam-6656	93	20	maximizing	maximize	VERB
ejpam-6656	93	21	(	(	PUNCT
ejpam-6656	93	22	8)	8)	NUM
ejpam-6656	93	23	with	with	ADP
ejpam-6656	93	24	respect	respect	NOUN
ejpam-6656	93	25	to	to	ADP
ejpam-6656	93	26	β	β	X
ejpam-6656	93	27	,	,	PUNCT
ejpam-6656	93	28	one	one	PRON
ejpam-6656	93	29	can	can	AUX
ejpam-6656	93	30	estimate	estimate	VERB
ejpam-6656	93	31	the	the	DET
ejpam-6656	93	32	ml	ml	X
ejpam-6656	93	33	estimator	estimator	NOUN
ejpam-6656	93	34	of	of	ADP
ejpam-6656	93	35	β	β	PROPN
ejpam-6656	93	36	.	.	PUNCT
ejpam-6656	94	1	a	a	DET
ejpam-6656	94	2	numerical	numerical	ADJ
ejpam-6656	94	3	method	method	NOUN
ejpam-6656	94	4	is	be	AUX
ejpam-6656	94	5	required	require	VERB
ejpam-6656	94	6	to	to	PART
ejpam-6656	94	7	obtain	obtain	VERB
ejpam-6656	94	8	θ̂	θ̂	NUM
ejpam-6656	94	9	and	and	CCONJ
ejpam-6656	94	10	β̂.	β̂.	NOUN
ejpam-6656	95	1	once	once	ADV
ejpam-6656	95	2	β̂	β̂	PROPN
ejpam-6656	95	3	is	be	AUX
ejpam-6656	95	4	obtained	obtain	VERB
ejpam-6656	95	5	,	,	PUNCT
ejpam-6656	95	6	θ̂	θ̂	NUM
ejpam-6656	95	7	can	can	AUX
ejpam-6656	95	8	be	be	AUX
ejpam-6656	95	9	obtained	obtain	VERB
ejpam-6656	95	10	from	from	ADP
ejpam-6656	95	11	(	(	PUNCT
ejpam-6656	95	12	7	7	NUM
ejpam-6656	95	13	)	)	PUNCT
ejpam-6656	95	14	as	as	ADP
ejpam-6656	95	15	θ̂(β	θ̂(β	NOUN
ejpam-6656	95	16	)	)	PUNCT
ejpam-6656	95	17	.	.	PUNCT
ejpam-6656	96	1	2.2	2.2	NUM
ejpam-6656	96	2	.	.	PUNCT
ejpam-6656	96	3	estimation	estimation	NOUN
ejpam-6656	96	4	of	of	ADP
ejpam-6656	96	5	parameters	parameter	NOUN
ejpam-6656	96	6	through	through	ADP
ejpam-6656	96	7	rss	rss	NOUN
ejpam-6656	96	8	in	in	ADP
ejpam-6656	96	9	practice	practice	NOUN
ejpam-6656	96	10	,	,	PUNCT
ejpam-6656	96	11	precise	precise	ADJ
ejpam-6656	96	12	measurements	measurement	NOUN
ejpam-6656	96	13	of	of	ADP
ejpam-6656	96	14	all	all	DET
ejpam-6656	96	15	sample	sample	NOUN
ejpam-6656	96	16	units	unit	NOUN
ejpam-6656	96	17	may	may	AUX
ejpam-6656	96	18	be	be	AUX
ejpam-6656	96	19	costly	costly	ADJ
ejpam-6656	96	20	or	or	CCONJ
ejpam-6656	96	21	time	time	NOUN
ejpam-6656	96	22	-	-	PUNCT
ejpam-6656	96	23	consuming	consume	VERB
ejpam-6656	96	24	,	,	PUNCT
ejpam-6656	96	25	but	but	CCONJ
ejpam-6656	96	26	ranking	rank	VERB
ejpam-6656	96	27	them	they	PRON
ejpam-6656	96	28	based	base	VERB
ejpam-6656	96	29	on	on	ADP
ejpam-6656	96	30	judgment	judgment	NOUN
ejpam-6656	96	31	or	or	CCONJ
ejpam-6656	96	32	auxiliary	auxiliary	ADJ
ejpam-6656	96	33	information	information	NOUN
ejpam-6656	96	34	is	be	AUX
ejpam-6656	96	35	often	often	ADV
ejpam-6656	96	36	feasible	feasible	ADJ
ejpam-6656	96	37	.	.	PUNCT
ejpam-6656	97	1	in	in	ADP
ejpam-6656	97	2	rss	rss	PROPN
ejpam-6656	97	3	,	,	PUNCT
ejpam-6656	97	4	m	m	NOUN
ejpam-6656	97	5	sets	set	VERB
ejpam-6656	97	6	each	each	PRON
ejpam-6656	97	7	containing	contain	VERB
ejpam-6656	97	8	m	m	PROPN
ejpam-6656	97	9	units	unit	NOUN
ejpam-6656	97	10	are	be	AUX
ejpam-6656	97	11	drawn	draw	VERB
ejpam-6656	97	12	from	from	ADP
ejpam-6656	97	13	the	the	DET
ejpam-6656	97	14	population	population	NOUN
ejpam-6656	97	15	.	.	PUNCT
ejpam-6656	98	1	units	unit	NOUN
ejpam-6656	98	2	in	in	ADP
ejpam-6656	98	3	each	each	DET
ejpam-6656	98	4	set	set	NOUN
ejpam-6656	98	5	are	be	AUX
ejpam-6656	98	6	ranked	rank	VERB
ejpam-6656	98	7	without	without	ADP
ejpam-6656	98	8	actual	actual	ADJ
ejpam-6656	98	9	measurement	measurement	NOUN
ejpam-6656	98	10	.	.	PUNCT
ejpam-6656	99	1	the	the	DET
ejpam-6656	99	2	ith	ith	PROPN
ejpam-6656	99	3	ranked	rank	VERB
ejpam-6656	99	4	unit	unit	NOUN
ejpam-6656	99	5	from	from	ADP
ejpam-6656	99	6	the	the	DET
ejpam-6656	99	7	ith	ith	PROPN
ejpam-6656	99	8	set	set	NOUN
ejpam-6656	99	9	is	be	AUX
ejpam-6656	99	10	then	then	ADV
ejpam-6656	99	11	measured	measure	VERB
ejpam-6656	99	12	,	,	PUNCT
ejpam-6656	99	13	producing	produce	VERB
ejpam-6656	99	14	a	a	DET
ejpam-6656	99	15	ranked	rank	VERB
ejpam-6656	99	16	set	set	VERB
ejpam-6656	99	17	sample	sample	NOUN
ejpam-6656	99	18	of	of	ADP
ejpam-6656	99	19	size	size	NOUN
ejpam-6656	99	20	m.	m.	NOUN
ejpam-6656	99	21	after	after	ADP
ejpam-6656	99	22	r	r	NOUN
ejpam-6656	99	23	cycles	cycle	NOUN
ejpam-6656	99	24	,	,	PUNCT
ejpam-6656	99	25	a	a	DET
ejpam-6656	99	26	total	total	NOUN
ejpam-6656	99	27	of	of	ADP
ejpam-6656	99	28	n	n	NOUN
ejpam-6656	99	29	=	=	PRON
ejpam-6656	99	30	mr	mr	PROPN
ejpam-6656	99	31	observations	observation	NOUN
ejpam-6656	99	32	are	be	AUX
ejpam-6656	99	33	obtained	obtain	VERB
ejpam-6656	99	34	.	.	PUNCT
ejpam-6656	100	1	let	let	VERB
ejpam-6656	100	2	yij	yij	NOUN
ejpam-6656	100	3	;	;	PUNCT
ejpam-6656	100	4	i	i	NOUN
ejpam-6656	100	5	=	=	NOUN
ejpam-6656	100	6	1	1	NUM
ejpam-6656	100	7	,	,	PUNCT
ejpam-6656	100	8	2	2	NUM
ejpam-6656	100	9	,	,	PUNCT
ejpam-6656	100	10	.	.	PUNCT
ejpam-6656	100	11	.	.	PUNCT
ejpam-6656	101	1	.	.	PUNCT
ejpam-6656	102	1	,	,	PUNCT
ejpam-6656	102	2	m	m	PROPN
ejpam-6656	102	3	;	;	PUNCT
ejpam-6656	102	4	j	j	PROPN
ejpam-6656	102	5	=	=	SYM
ejpam-6656	102	6	1	1	NUM
ejpam-6656	102	7	,	,	PUNCT
ejpam-6656	102	8	2	2	NUM
ejpam-6656	102	9	,	,	PUNCT
ejpam-6656	102	10	.	.	PUNCT
ejpam-6656	102	11	.	.	PUNCT
ejpam-6656	103	1	.	.	PUNCT
ejpam-6656	104	1	,	,	PUNCT
ejpam-6656	104	2	r	r	PRON
ejpam-6656	104	3	represent	represent	VERB
ejpam-6656	104	4	a	a	DET
ejpam-6656	104	5	rss	rss	NOUN
ejpam-6656	104	6	obtained	obtain	VERB
ejpam-6656	104	7	from	from	ADP
ejpam-6656	104	8	eiwd	eiwd	PROPN
ejpam-6656	104	9	,	,	PUNCT
ejpam-6656	104	10	then	then	ADV
ejpam-6656	104	11	,	,	PUNCT
ejpam-6656	104	12	yij	yij	NOUN
ejpam-6656	104	13	are	be	AUX
ejpam-6656	104	14	independent	independent	ADJ
ejpam-6656	104	15	with	with	ADP
ejpam-6656	104	16	a	a	DET
ejpam-6656	104	17	density	density	NOUN
ejpam-6656	104	18	matching	match	VERB
ejpam-6656	104	19	that	that	PRON
ejpam-6656	104	20	of	of	ADP
ejpam-6656	104	21	the	the	DET
ejpam-6656	104	22	ith	ith	PROPN
ejpam-6656	104	23	order	order	NOUN
ejpam-6656	104	24	statistic	statistic	NOUN
ejpam-6656	104	25	from	from	ADP
ejpam-6656	104	26	a	a	DET
ejpam-6656	104	27	sample	sample	NOUN
ejpam-6656	104	28	of	of	ADP
ejpam-6656	104	29	size	size	NOUN
ejpam-6656	104	30	m	m	ADP
ejpam-6656	104	31	as	as	ADP
ejpam-6656	104	32	described	describe	VERB
ejpam-6656	104	33	gi(yij	gi(yij	NOUN
ejpam-6656	104	34	,	,	PUNCT
ejpam-6656	104	35	β	β	X
ejpam-6656	104	36	,	,	PUNCT
ejpam-6656	104	37	θ	θ	NOUN
ejpam-6656	104	38	)	)	PUNCT
ejpam-6656	104	39	=	=	SYM
ejpam-6656	104	40	m	m	NOUN
ejpam-6656	104	41	!	!	PUNCT
ejpam-6656	105	1	(	(	PUNCT
ejpam-6656	105	2	i−	i−	PROPN
ejpam-6656	105	3	1)!(m−	1)!(m−	PROPN
ejpam-6656	105	4	i	i	NOUN
ejpam-6656	105	5	)	)	PUNCT
ejpam-6656	105	6	!	!	PUNCT
ejpam-6656	106	1	f(yij	f(yij	NOUN
ejpam-6656	106	2	,	,	PUNCT
ejpam-6656	106	3	β	β	X
ejpam-6656	106	4	,	,	PUNCT
ejpam-6656	106	5	θ	θ	PROPN
ejpam-6656	106	6	)	)	PUNCT
ejpam-6656	106	7	·	·	PUNCT
ejpam-6656	107	1	[	[	X
ejpam-6656	107	2	f	f	X
ejpam-6656	107	3	(	(	PUNCT
ejpam-6656	107	4	yij	yij	NOUN
ejpam-6656	107	5	,	,	PUNCT
ejpam-6656	107	6	β	β	X
ejpam-6656	107	7	,	,	PUNCT
ejpam-6656	107	8	θ	θ	PROPN
ejpam-6656	107	9	)	)	PUNCT
ejpam-6656	107	10	]	]	PUNCT
ejpam-6656	108	1	i−1	i−1	PROPN
ejpam-6656	108	2	·	·	PUNCT
ejpam-6656	109	1	[	[	X
ejpam-6656	109	2	1−	1−	NUM
ejpam-6656	109	3	f	f	X
ejpam-6656	109	4	(	(	PUNCT
ejpam-6656	109	5	yij	yij	NOUN
ejpam-6656	109	6	,	,	PUNCT
ejpam-6656	109	7	β	β	X
ejpam-6656	109	8	,	,	PUNCT
ejpam-6656	109	9	θ	θ	NOUN
ejpam-6656	109	10	)	)	PUNCT
ejpam-6656	109	11	]	]	PUNCT
ejpam-6656	109	12	m−i	m−i	NOUN
ejpam-6656	109	13	,	,	PUNCT
ejpam-6656	109	14	(	(	PUNCT
ejpam-6656	109	15	9	9	NUM
ejpam-6656	109	16	)	)	PUNCT
ejpam-6656	109	17	where	where	SCONJ
ejpam-6656	109	18	f(yij	f(yij	NOUN
ejpam-6656	109	19	,	,	PUNCT
ejpam-6656	109	20	β	β	X
ejpam-6656	109	21	,	,	PUNCT
ejpam-6656	109	22	θ	θ	NOUN
ejpam-6656	109	23	)	)	PUNCT
ejpam-6656	109	24	and	and	CCONJ
ejpam-6656	109	25	f	f	PROPN
ejpam-6656	109	26	(	(	PUNCT
ejpam-6656	109	27	yij	yij	NOUN
ejpam-6656	109	28	,	,	PUNCT
ejpam-6656	109	29	β	β	X
ejpam-6656	109	30	,	,	PUNCT
ejpam-6656	109	31	θ	θ	NOUN
ejpam-6656	109	32	)	)	PUNCT
ejpam-6656	109	33	are	be	AUX
ejpam-6656	109	34	the	the	DET
ejpam-6656	109	35	pdf	pdf	NOUN
ejpam-6656	109	36	and	and	CCONJ
ejpam-6656	109	37	cdf	cdf	NOUN
ejpam-6656	109	38	,	,	PUNCT
ejpam-6656	109	39	respectively	respectively	ADV
ejpam-6656	109	40	.	.	PUNCT
ejpam-6656	110	1	the	the	DET
ejpam-6656	110	2	likelihood	likelihood	NOUN
ejpam-6656	110	3	function	function	NOUN
ejpam-6656	110	4	for	for	ADP
ejpam-6656	110	5	rss	rss	NOUN
ejpam-6656	110	6	is	be	AUX
ejpam-6656	110	7	constructed	construct	VERB
ejpam-6656	110	8	by	by	ADP
ejpam-6656	110	9	replacing	replace	VERB
ejpam-6656	110	10	the	the	DET
ejpam-6656	110	11	sample	sample	NOUN
ejpam-6656	110	12	distribution	distribution	NOUN
ejpam-6656	110	13	with	with	ADP
ejpam-6656	110	14	the	the	DET
ejpam-6656	110	15	distribution	distribution	NOUN
ejpam-6656	110	16	of	of	ADP
ejpam-6656	110	17	the	the	DET
ejpam-6656	110	18	corresponding	correspond	VERB
ejpam-6656	110	19	order	order	NOUN
ejpam-6656	110	20	statistics	statistic	NOUN
ejpam-6656	110	21	from	from	ADP
ejpam-6656	110	22	equation	equation	NOUN
ejpam-6656	110	23	(	(	PUNCT
ejpam-6656	110	24	9	9	NUM
ejpam-6656	110	25	)	)	PUNCT
ejpam-6656	110	26	as	as	SCONJ
ejpam-6656	110	27	follows	follow	VERB
ejpam-6656	110	28	:	:	PUNCT
ejpam-6656	110	29	l(β	l(β	PROPN
ejpam-6656	110	30	,	,	PUNCT
ejpam-6656	110	31	θ	θ	PROPN
ejpam-6656	110	32	,	,	PUNCT
ejpam-6656	110	33	yij	yij	NOUN
ejpam-6656	110	34	)	)	PUNCT
ejpam-6656	111	1	=	=	SYM
ejpam-6656	111	2	r∏	r∏	NOUN
ejpam-6656	111	3	j=1	j=1	PUNCT
ejpam-6656	112	1	m∏	m∏	PROPN
ejpam-6656	112	2	i=1	i=1	PROPN
ejpam-6656	113	1	gi(yij	gi(yij	PROPN
ejpam-6656	113	2	,	,	PUNCT
ejpam-6656	113	3	β	β	X
ejpam-6656	113	4	,	,	PUNCT
ejpam-6656	113	5	θ	θ	NOUN
ejpam-6656	113	6	)	)	PUNCT
ejpam-6656	114	1	=	=	SYM
ejpam-6656	114	2	r∏	r∏	NOUN
ejpam-6656	114	3	j=1	j=1	PUNCT
ejpam-6656	115	1	m∏	m∏	PROPN
ejpam-6656	115	2	i=1	i=1	VERB
ejpam-6656	116	1	m!βθy	m!βθy	PROPN
ejpam-6656	116	2	−(β+1	−(β+1	NOUN
ejpam-6656	116	3	)	)	PUNCT
ejpam-6656	116	4	ij	ij	NOUN
ejpam-6656	116	5	(	(	PUNCT
ejpam-6656	116	6	i−	i−	PROPN
ejpam-6656	116	7	1)!(m−	1)!(m−	PROPN
ejpam-6656	116	8	i	i	NOUN
ejpam-6656	116	9	)	)	PUNCT
ejpam-6656	116	10	!	!	PUNCT
ejpam-6656	117	1	(	(	PUNCT
ejpam-6656	117	2	e−y−β	e−y−β	NOUN
ejpam-6656	117	3	ij	ij	NOUN
ejpam-6656	117	4	)	)	PUNCT
ejpam-6656	117	5	θ	θ	PROPN
ejpam-6656	118	1	[	[	X
ejpam-6656	118	2	(	(	PUNCT
ejpam-6656	118	3	e−y−β	e−y−β	NOUN
ejpam-6656	118	4	ij	ij	NOUN
ejpam-6656	118	5	)	)	PUNCT
ejpam-6656	118	6	θ]i−1	θ]i−1	PROPN
ejpam-6656	118	7	[	[	PUNCT
ejpam-6656	118	8	1−	1−	NUM
ejpam-6656	118	9	(	(	PUNCT
ejpam-6656	118	10	e−y−β	e−y−β	NOUN
ejpam-6656	118	11	ij	ij	NOUN
ejpam-6656	118	12	)	)	PUNCT
ejpam-6656	118	13	θ]m−i	θ]m−i	NOUN
ejpam-6656	118	14	=	=	SYM
ejpam-6656	118	15	kmrβmrθmr	kmrβmrθmr	X
ejpam-6656	118	16	r∏	r∏	NOUN
ejpam-6656	118	17	j=1	j=1	PUNCT
ejpam-6656	119	1	m∏	m∏	PROPN
ejpam-6656	119	2	i=1	i=1	X
ejpam-6656	120	1	[	[	PUNCT
ejpam-6656	120	2	y	y	NOUN
ejpam-6656	120	3	−(β+1	−(β+1	NOUN
ejpam-6656	120	4	)	)	PUNCT
ejpam-6656	120	5	ij	ij	NOUN
ejpam-6656	120	6	(	(	PUNCT
ejpam-6656	120	7	e−y−β	e−y−β	NOUN
ejpam-6656	120	8	ij	ij	NOUN
ejpam-6656	120	9	)	)	PUNCT
ejpam-6656	120	10	θ	θ	PROPN
ejpam-6656	121	1	[	[	X
ejpam-6656	121	2	(	(	PUNCT
ejpam-6656	121	3	e−y−β	e−y−β	NOUN
ejpam-6656	121	4	ij	ij	NOUN
ejpam-6656	121	5	)	)	PUNCT
ejpam-6656	121	6	θ]i−1	θ]i−1	PROPN
ejpam-6656	121	7	[	[	PUNCT
ejpam-6656	121	8	1−	1−	NUM
ejpam-6656	121	9	(	(	PUNCT
ejpam-6656	121	10	e−y−β	e−y−β	NOUN
ejpam-6656	121	11	ij	ij	NOUN
ejpam-6656	121	12	)	)	PUNCT
ejpam-6656	121	13	θ]m−i	θ]m−i	NOUN
ejpam-6656	121	14	]	]	PUNCT
ejpam-6656	121	15	,	,	PUNCT
ejpam-6656	121	16	(	(	PUNCT
ejpam-6656	121	17	10	10	NUM
ejpam-6656	121	18	)	)	PUNCT
ejpam-6656	121	19	where	where	SCONJ
ejpam-6656	121	20	,	,	PUNCT
ejpam-6656	121	21	k	k	PROPN
ejpam-6656	121	22	=	=	PUNCT
ejpam-6656	121	23	m	m	PROPN
ejpam-6656	121	24	!	!	PUNCT
ejpam-6656	122	1	(	(	PUNCT
ejpam-6656	122	2	i−	i−	PROPN
ejpam-6656	122	3	1)!(m−	1)!(m−	PROPN
ejpam-6656	122	4	i	i	NOUN
ejpam-6656	122	5	)	)	PUNCT
ejpam-6656	122	6	!	!	PUNCT
ejpam-6656	122	7	.	.	PUNCT
ejpam-6656	123	1	the	the	DET
ejpam-6656	123	2	natural	natural	ADJ
ejpam-6656	123	3	logarithm	logarithm	NOUN
ejpam-6656	123	4	of	of	ADP
ejpam-6656	123	5	(	(	PUNCT
ejpam-6656	123	6	10	10	NUM
ejpam-6656	123	7	)	)	PUNCT
ejpam-6656	123	8	can	can	AUX
ejpam-6656	123	9	be	be	AUX
ejpam-6656	123	10	listed	list	VERB
ejpam-6656	123	11	as	as	ADP
ejpam-6656	123	12	l(β	l(β	PROPN
ejpam-6656	123	13	,	,	PUNCT
ejpam-6656	123	14	θ	θ	PROPN
ejpam-6656	123	15	,	,	PUNCT
ejpam-6656	123	16	y	y	NOUN
ejpam-6656	123	17	)	)	PUNCT
ejpam-6656	124	1	=	=	NOUN
ejpam-6656	124	2	mr	mr	PROPN
ejpam-6656	124	3	log	log	VERB
ejpam-6656	124	4	k	k	PROPN
ejpam-6656	125	1	+	+	ADV
ejpam-6656	125	2	mr	mr	PROPN
ejpam-6656	125	3	log	log	PROPN
ejpam-6656	125	4	β	β	PROPN
ejpam-6656	126	1	+	+	NOUN
ejpam-6656	126	2	mr	mr	PROPN
ejpam-6656	126	3	log	log	VERB
ejpam-6656	126	4	θ	θ	PROPN
ejpam-6656	127	1	+	+	PUNCT
ejpam-6656	127	2	r∑	r∑	NOUN
ejpam-6656	127	3	j=1	j=1	NOUN
ejpam-6656	127	4	m∑	m∑	CCONJ
ejpam-6656	127	5	i=1	i=1	PROPN
ejpam-6656	127	6	log	log	PROPN
ejpam-6656	127	7	(	(	PUNCT
ejpam-6656	127	8	y	y	NOUN
ejpam-6656	127	9	−(β+1	−(β+1	NOUN
ejpam-6656	127	10	)	)	PUNCT
ejpam-6656	127	11	ij	ij	NOUN
ejpam-6656	127	12	)	)	PUNCT
ejpam-6656	127	13	−	−	PROPN
ejpam-6656	128	1	r∑	r∑	NOUN
ejpam-6656	128	2	j=1	j=1	NOUN
ejpam-6656	128	3	m∑	m∑	VERB
ejpam-6656	129	1	i=1	i=1	PROPN
ejpam-6656	129	2	θy−β	θy−β	NOUN
ejpam-6656	129	3	ij	ij	NOUN
ejpam-6656	129	4	−	−	NOUN
ejpam-6656	130	1	r∑	r∑	NOUN
ejpam-6656	130	2	j=1	j=1	NOUN
ejpam-6656	130	3	m∑	m∑	VERB
ejpam-6656	130	4	i=1	i=1	PROPN
ejpam-6656	130	5	θ(i−	θ(i−	NUM
ejpam-6656	130	6	1)y−β	1)y−β	NUM
ejpam-6656	130	7	ij	ij	NOUN
ejpam-6656	130	8	+	+	CCONJ
ejpam-6656	130	9	r∑	r∑	NOUN
ejpam-6656	130	10	j=1	j=1	NOUN
ejpam-6656	130	11	m∑	m∑	VERB
ejpam-6656	130	12	i=1	i=1	PROPN
ejpam-6656	131	1	(	(	PUNCT
ejpam-6656	131	2	m−	m−	PROPN
ejpam-6656	131	3	i	i	PRON
ejpam-6656	131	4	)	)	PUNCT
ejpam-6656	131	5	log	log	PROPN
ejpam-6656	131	6	[	[	PUNCT
ejpam-6656	131	7	1−	1−	NUM
ejpam-6656	131	8	(	(	PUNCT
ejpam-6656	131	9	e−y−β	e−y−β	NOUN
ejpam-6656	131	10	ij	ij	NOUN
ejpam-6656	131	11	)	)	PUNCT
ejpam-6656	131	12	θ	θ	NOUN
ejpam-6656	131	13	]	]	PUNCT
ejpam-6656	131	14	.	.	PUNCT
ejpam-6656	132	1	(	(	PUNCT
ejpam-6656	132	2	11	11	X
ejpam-6656	132	3	)	)	PUNCT
ejpam-6656	132	4	u.	u.	NOUN
ejpam-6656	132	5	deka	deka	PROPN
ejpam-6656	132	6	et	et	PROPN
ejpam-6656	132	7	al	al	PROPN
ejpam-6656	132	8	.	.	PUNCT
ejpam-6656	132	9	/	/	SYM
ejpam-6656	132	10	eur	eur	PROPN
ejpam-6656	132	11	.	.	PUNCT
ejpam-6656	133	1	j.	j.	PROPN
ejpam-6656	133	2	pure	pure	PROPN
ejpam-6656	133	3	appl	appl	PROPN
ejpam-6656	133	4	.	.	PROPN
ejpam-6656	133	5	math	math	PROPN
ejpam-6656	133	6	,	,	PUNCT
ejpam-6656	133	7	18	18	NUM
ejpam-6656	133	8	(	(	PUNCT
ejpam-6656	133	9	4	4	NUM
ejpam-6656	133	10	)	)	PUNCT
ejpam-6656	133	11	(	(	PUNCT
ejpam-6656	133	12	2025	2025	NUM
ejpam-6656	133	13	)	)	PUNCT
ejpam-6656	133	14	,	,	PUNCT
ejpam-6656	133	15	6656	6656	NUM
ejpam-6656	133	16	6	6	NUM
ejpam-6656	133	17	of	of	ADP
ejpam-6656	133	18	18	18	NUM
ejpam-6656	133	19	differentiating	differentiate	VERB
ejpam-6656	133	20	(	(	PUNCT
ejpam-6656	133	21	11	11	NUM
ejpam-6656	133	22	)	)	PUNCT
ejpam-6656	133	23	with	with	ADP
ejpam-6656	133	24	respect	respect	NOUN
ejpam-6656	133	25	to	to	ADP
ejpam-6656	133	26	the	the	DET
ejpam-6656	133	27	parameters	parameter	NOUN
ejpam-6656	133	28	θ	θ	PROPN
ejpam-6656	133	29	and	and	CCONJ
ejpam-6656	133	30	β	β	X
ejpam-6656	133	31	and	and	CCONJ
ejpam-6656	133	32	setting	set	VERB
ejpam-6656	133	33	it	it	PRON
ejpam-6656	133	34	to	to	ADP
ejpam-6656	133	35	zero	zero	NUM
ejpam-6656	133	36	yields	yield	NOUN
ejpam-6656	133	37	the	the	DET
ejpam-6656	133	38	respective	respective	ADJ
ejpam-6656	133	39	equations	equation	NOUN
ejpam-6656	133	40	,	,	PUNCT
ejpam-6656	133	41	∂l	∂l	PROPN
ejpam-6656	133	42	∂θ	∂θ	NOUN
ejpam-6656	134	1	=	=	PUNCT
ejpam-6656	134	2	mr	mr	PROPN
ejpam-6656	134	3	θ	θ	PROPN
ejpam-6656	134	4	−	−	PROPN
ejpam-6656	134	5	m∑	m∑	ADV
ejpam-6656	134	6	j=1	j=1	NOUN
ejpam-6656	134	7	r∑	r∑	NOUN
ejpam-6656	134	8	i=1	i=1	X
ejpam-6656	134	9	y−β	y−β	PROPN
ejpam-6656	134	10	ij	ij	NOUN
ejpam-6656	134	11	−	−	NOUN
ejpam-6656	135	1	m∑	m∑	ADV
ejpam-6656	135	2	j=1	j=1	NOUN
ejpam-6656	135	3	r∑	r∑	NOUN
ejpam-6656	135	4	i=1	i=1	PROPN
ejpam-6656	135	5	(	(	PUNCT
ejpam-6656	135	6	i−	i−	PROPN
ejpam-6656	135	7	1)y−β	1)y−β	NUM
ejpam-6656	135	8	ij	ij	NOUN
ejpam-6656	136	1	+	+	CCONJ
ejpam-6656	136	2	m∑	m∑	PROPN
ejpam-6656	136	3	j=1	j=1	ADJ
ejpam-6656	136	4	r∑	r∑	NOUN
ejpam-6656	136	5	i=1	i=1	PROPN
ejpam-6656	137	1	(	(	PUNCT
ejpam-6656	137	2	m−	m−	PROPN
ejpam-6656	137	3	i	i	PRON
ejpam-6656	137	4	)	)	PUNCT
ejpam-6656	137	5	(	(	PUNCT
ejpam-6656	137	6	e−y−β	e−y−β	NOUN
ejpam-6656	137	7	ij	ij	NOUN
ejpam-6656	137	8	)	)	PUNCT
ejpam-6656	137	9	θ	θ	NOUN
ejpam-6656	137	10	y−β	y−β	PROPN
ejpam-6656	138	1	ij	ij	X
ejpam-6656	138	2	1−	1−	NUM
ejpam-6656	138	3	(	(	PUNCT
ejpam-6656	138	4	e−y−β	e−y−β	NOUN
ejpam-6656	138	5	ij	ij	NOUN
ejpam-6656	138	6	)	)	PUNCT
ejpam-6656	138	7	θ	θ	NOUN
ejpam-6656	138	8	,	,	PUNCT
ejpam-6656	138	9	(	(	PUNCT
ejpam-6656	138	10	12	12	NUM
ejpam-6656	138	11	)	)	PUNCT
ejpam-6656	138	12	∂l	∂l	NOUN
ejpam-6656	139	1	∂β	∂β	PROPN
ejpam-6656	139	2	=	=	PUNCT
ejpam-6656	140	1	mr	mr	PROPN
ejpam-6656	140	2	β	β	NOUN
ejpam-6656	140	3	−	−	NOUN
ejpam-6656	140	4	r∑	r∑	NOUN
ejpam-6656	140	5	j=1	j=1	NOUN
ejpam-6656	140	6	m∑	m∑	VERB
ejpam-6656	141	1	i=1	i=1	PROPN
ejpam-6656	141	2	log	log	VERB
ejpam-6656	141	3	yij	yij	NOUN
ejpam-6656	141	4	+	+	CCONJ
ejpam-6656	141	5	r∑	r∑	NOUN
ejpam-6656	141	6	j=1	j=1	NOUN
ejpam-6656	141	7	m∑	m∑	VERB
ejpam-6656	141	8	i=1	i=1	PROPN
ejpam-6656	141	9	θy−β	θy−β	PROPN
ejpam-6656	141	10	ij	ij	NOUN
ejpam-6656	141	11	log	log	NOUN
ejpam-6656	141	12	yij	yij	NOUN
ejpam-6656	141	13	−	−	NOUN
ejpam-6656	141	14	r∑	r∑	NOUN
ejpam-6656	141	15	j=1	j=1	NOUN
ejpam-6656	141	16	m∑	m∑	VERB
ejpam-6656	142	1	i=1	i=1	PROPN
ejpam-6656	142	2	θ(i−	θ(i−	NUM
ejpam-6656	142	3	1)y−β	1)y−β	NUM
ejpam-6656	142	4	ij	ij	NOUN
ejpam-6656	142	5	log	log	NOUN
ejpam-6656	142	6	yij	yij	NOUN
ejpam-6656	142	7	−	−	NOUN
ejpam-6656	143	1	r∑	r∑	NOUN
ejpam-6656	143	2	j=1	j=1	NOUN
ejpam-6656	143	3	m∑	m∑	VERB
ejpam-6656	143	4	i=1	i=1	PROPN
ejpam-6656	143	5	(	(	PUNCT
ejpam-6656	143	6	m−	m−	PROPN
ejpam-6656	143	7	i	i	PRON
ejpam-6656	143	8	)	)	PUNCT
ejpam-6656	143	9	1	1	NUM
ejpam-6656	143	10	1−	1−	NUM
ejpam-6656	143	11	(	(	PUNCT
ejpam-6656	143	12	e−y−β	e−y−β	NOUN
ejpam-6656	143	13	ij	ij	NOUN
ejpam-6656	143	14	)	)	PUNCT
ejpam-6656	143	15	θ	θ	NOUN
ejpam-6656	143	16	θ	θ	PROPN
ejpam-6656	143	17	(	(	PUNCT
ejpam-6656	143	18	e−y−β	e−y−β	NOUN
ejpam-6656	143	19	ij	ij	NOUN
ejpam-6656	143	20	)	)	PUNCT
ejpam-6656	143	21	θ−1	θ−1	ADV
ejpam-6656	143	22	e−y−β	e−y−β	X
ejpam-6656	143	23	ij	ij	NUM
ejpam-6656	143	24	y−β	y−β	PROPN
ejpam-6656	143	25	ij	ij	NOUN
ejpam-6656	143	26	log	log	NOUN
ejpam-6656	143	27	yij	yij	NOUN
ejpam-6656	143	28	.	.	PUNCT
ejpam-6656	144	1	(	(	PUNCT
ejpam-6656	144	2	13	13	NUM
ejpam-6656	144	3	)	)	PUNCT
ejpam-6656	144	4	because	because	SCONJ
ejpam-6656	144	5	these	these	DET
ejpam-6656	144	6	equations	equation	NOUN
ejpam-6656	144	7	are	be	AUX
ejpam-6656	144	8	nonlinear	nonlinear	ADJ
ejpam-6656	144	9	,	,	PUNCT
ejpam-6656	144	10	the	the	DET
ejpam-6656	144	11	maximum	maximum	ADJ
ejpam-6656	144	12	likelihood	likelihood	NOUN
ejpam-6656	144	13	estimators	estimator	NOUN
ejpam-6656	144	14	of	of	ADP
ejpam-6656	144	15	θ	θ	PROPN
ejpam-6656	144	16	and	and	CCONJ
ejpam-6656	144	17	β	β	X
ejpam-6656	144	18	must	must	AUX
ejpam-6656	144	19	be	be	AUX
ejpam-6656	144	20	obtained	obtain	VERB
ejpam-6656	144	21	through	through	ADP
ejpam-6656	144	22	numerical	numerical	ADJ
ejpam-6656	144	23	methods	method	NOUN
ejpam-6656	144	24	.	.	PUNCT
ejpam-6656	145	1	2.3	2.3	NUM
ejpam-6656	145	2	.	.	PUNCT
ejpam-6656	145	3	estimation	estimation	NOUN
ejpam-6656	145	4	of	of	ADP
ejpam-6656	145	5	parameters	parameter	NOUN
ejpam-6656	145	6	through	through	ADP
ejpam-6656	145	7	erss	erss	ADV
ejpam-6656	145	8	this	this	DET
ejpam-6656	145	9	subsection	subsection	NOUN
ejpam-6656	145	10	focuses	focus	VERB
ejpam-6656	145	11	on	on	ADP
ejpam-6656	145	12	deriving	derive	VERB
ejpam-6656	145	13	the	the	DET
ejpam-6656	145	14	maximum	maximum	ADJ
ejpam-6656	145	15	likelihood	likelihood	NOUN
ejpam-6656	145	16	equations	equation	NOUN
ejpam-6656	145	17	for	for	ADP
ejpam-6656	145	18	the	the	DET
ejpam-6656	145	19	parameters	parameter	NOUN
ejpam-6656	145	20	of	of	ADP
ejpam-6656	145	21	the	the	DET
ejpam-6656	145	22	eiwd	eiwd	PROPN
ejpam-6656	145	23	using	use	VERB
ejpam-6656	145	24	the	the	DET
ejpam-6656	145	25	erss	erss	ADJ
ejpam-6656	145	26	method	method	NOUN
ejpam-6656	145	27	.	.	PUNCT
ejpam-6656	146	1	the	the	DET
ejpam-6656	146	2	erss	erss	ADJ
ejpam-6656	146	3	procedure	procedure	NOUN
ejpam-6656	146	4	can	can	AUX
ejpam-6656	146	5	be	be	AUX
ejpam-6656	146	6	summarized	summarize	VERB
ejpam-6656	146	7	as	as	SCONJ
ejpam-6656	146	8	follows	follow	VERB
ejpam-6656	146	9	:	:	PUNCT
ejpam-6656	146	10	first	first	ADV
ejpam-6656	146	11	,	,	PUNCT
ejpam-6656	146	12	m	m	VERB
ejpam-6656	146	13	random	random	ADJ
ejpam-6656	146	14	sets	set	NOUN
ejpam-6656	146	15	,	,	PUNCT
ejpam-6656	146	16	each	each	PRON
ejpam-6656	146	17	containing	contain	VERB
ejpam-6656	146	18	m	m	PROPN
ejpam-6656	146	19	units	unit	NOUN
ejpam-6656	146	20	,	,	PUNCT
ejpam-6656	146	21	are	be	AUX
ejpam-6656	146	22	drawn	draw	VERB
ejpam-6656	146	23	from	from	ADP
ejpam-6656	146	24	the	the	DET
ejpam-6656	146	25	population	population	NOUN
ejpam-6656	146	26	.	.	PUNCT
ejpam-6656	147	1	ranking	ranking	NOUN
ejpam-6656	147	2	is	be	AUX
ejpam-6656	147	3	performed	perform	VERB
ejpam-6656	147	4	using	use	VERB
ejpam-6656	147	5	visual	visual	ADJ
ejpam-6656	147	6	inspection	inspection	NOUN
ejpam-6656	147	7	or	or	CCONJ
ejpam-6656	147	8	any	any	DET
ejpam-6656	147	9	other	other	ADJ
ejpam-6656	147	10	cost	cost	NOUN
ejpam-6656	147	11	-	-	PUNCT
ejpam-6656	147	12	free	free	ADJ
ejpam-6656	147	13	method	method	NOUN
ejpam-6656	147	14	.	.	PUNCT
ejpam-6656	148	1	this	this	DET
ejpam-6656	148	2	cycle	cycle	NOUN
ejpam-6656	148	3	may	may	AUX
ejpam-6656	148	4	be	be	AUX
ejpam-6656	148	5	repeated	repeat	VERB
ejpam-6656	148	6	r	r	NOUN
ejpam-6656	148	7	times	time	NOUN
ejpam-6656	148	8	to	to	PART
ejpam-6656	148	9	obtain	obtain	VERB
ejpam-6656	148	10	a	a	DET
ejpam-6656	148	11	total	total	NOUN
ejpam-6656	148	12	of	of	ADP
ejpam-6656	148	13	mr	mr	PROPN
ejpam-6656	148	14	observations	observation	NOUN
ejpam-6656	148	15	,	,	PUNCT
ejpam-6656	148	16	which	which	PRON
ejpam-6656	148	17	constitute	constitute	VERB
ejpam-6656	148	18	the	the	DET
ejpam-6656	148	19	erss	erss	ADJ
ejpam-6656	148	20	sample	sample	NOUN
ejpam-6656	148	21	.	.	PUNCT
ejpam-6656	149	1	two	two	NUM
ejpam-6656	149	2	scenarios	scenario	NOUN
ejpam-6656	149	3	arise	arise	VERB
ejpam-6656	149	4	depending	depend	VERB
ejpam-6656	149	5	on	on	ADP
ejpam-6656	149	6	whether	whether	SCONJ
ejpam-6656	149	7	the	the	DET
ejpam-6656	149	8	set	set	NOUN
ejpam-6656	149	9	size	size	NOUN
ejpam-6656	149	10	m	m	VERB
ejpam-6656	149	11	is	be	AUX
ejpam-6656	149	12	odd	odd	ADJ
ejpam-6656	149	13	or	or	CCONJ
ejpam-6656	149	14	even	even	ADV
ejpam-6656	149	15	.	.	PUNCT
ejpam-6656	150	1	in	in	ADP
ejpam-6656	150	2	the	the	DET
ejpam-6656	150	3	case	case	NOUN
ejpam-6656	150	4	of	of	ADP
ejpam-6656	150	5	an	an	DET
ejpam-6656	150	6	even	even	ADV
ejpam-6656	150	7	set	set	ADJ
ejpam-6656	150	8	size	size	NOUN
ejpam-6656	150	9	,	,	PUNCT
ejpam-6656	150	10	from	from	ADP
ejpam-6656	150	11	each	each	PRON
ejpam-6656	150	12	of	of	ADP
ejpam-6656	150	13	the	the	DET
ejpam-6656	150	14	first	first	ADJ
ejpam-6656	150	15	m	m	ADJ
ejpam-6656	150	16	2	2	NUM
ejpam-6656	150	17	sets	set	NOUN
ejpam-6656	150	18	,	,	PUNCT
ejpam-6656	150	19	the	the	DET
ejpam-6656	150	20	lowest	lowest	ADV
ejpam-6656	150	21	-	-	PUNCT
ejpam-6656	150	22	ranked	rank	VERB
ejpam-6656	150	23	unit	unit	NOUN
ejpam-6656	150	24	is	be	AUX
ejpam-6656	150	25	selected	select	VERB
ejpam-6656	150	26	,	,	PUNCT
ejpam-6656	150	27	while	while	SCONJ
ejpam-6656	150	28	from	from	ADP
ejpam-6656	150	29	each	each	PRON
ejpam-6656	150	30	of	of	ADP
ejpam-6656	150	31	the	the	DET
ejpam-6656	150	32	last	last	ADJ
ejpam-6656	150	33	m	m	PROPN
ejpam-6656	150	34	2	2	NUM
ejpam-6656	150	35	sets	set	NOUN
ejpam-6656	150	36	,	,	PUNCT
ejpam-6656	150	37	the	the	DET
ejpam-6656	150	38	highest	highest	ADV
ejpam-6656	150	39	-	-	PUNCT
ejpam-6656	150	40	ranked	rank	VERB
ejpam-6656	150	41	unit	unit	NOUN
ejpam-6656	150	42	is	be	AUX
ejpam-6656	150	43	chosen	choose	VERB
ejpam-6656	150	44	.	.	PUNCT
ejpam-6656	151	1	in	in	ADP
ejpam-6656	151	2	a	a	DET
ejpam-6656	151	3	random	random	ADJ
ejpam-6656	151	4	sample	sample	NOUN
ejpam-6656	151	5	of	of	ADP
ejpam-6656	151	6	size	size	NOUN
ejpam-6656	151	7	m	m	PROPN
ejpam-6656	151	8	,	,	PUNCT
ejpam-6656	151	9	let	let	VERB
ejpam-6656	151	10	xi(1	xi(1	NOUN
ejpam-6656	151	11	:	:	PUNCT
ejpam-6656	151	12	m)j	m)j	X
ejpam-6656	151	13	be	be	AUX
ejpam-6656	151	14	the	the	DET
ejpam-6656	151	15	first	first	ADJ
ejpam-6656	151	16	order	order	NOUN
ejpam-6656	151	17	statistic	statistic	NOUN
ejpam-6656	151	18	and	and	CCONJ
ejpam-6656	151	19	xi(m	xi(m	NUM
ejpam-6656	151	20	:	:	PUNCT
ejpam-6656	151	21	m)j	m)j	X
ejpam-6656	151	22	be	be	AUX
ejpam-6656	151	23	the	the	DET
ejpam-6656	151	24	maximum	maximum	ADJ
ejpam-6656	151	25	order	order	NOUN
ejpam-6656	151	26	statistic	statistic	NOUN
ejpam-6656	151	27	.	.	PUNCT
ejpam-6656	152	1	for	for	ADP
ejpam-6656	152	2	convenience	convenience	NOUN
ejpam-6656	152	3	,	,	PUNCT
ejpam-6656	152	4	we	we	PRON
ejpam-6656	152	5	denote	denote	VERB
ejpam-6656	152	6	xi(h	xi(h	NOUN
ejpam-6656	152	7	:	:	PUNCT
ejpam-6656	152	8	m)j	m)j	X
ejpam-6656	152	9	by	by	ADP
ejpam-6656	152	10	pij	pij	PROPN
ejpam-6656	152	11	.	.	PUNCT
ejpam-6656	153	1	let	let	VERB
ejpam-6656	153	2	us	we	PRON
ejpam-6656	153	3	assume	assume	VERB
ejpam-6656	153	4	,	,	PUNCT
ejpam-6656	153	5	p	p	X
ejpam-6656	153	6	=	=	X
ejpam-6656	153	7	{	{	PUNCT
ejpam-6656	153	8	xi(1	xi(1	NOUN
ejpam-6656	153	9	:	:	PUNCT
ejpam-6656	153	10	m)j	m)j	X
ejpam-6656	153	11	,	,	PUNCT
ejpam-6656	153	12	i	i	PRON
ejpam-6656	153	13	=	=	NOUN
ejpam-6656	153	14	1	1	NUM
ejpam-6656	153	15	,	,	PUNCT
ejpam-6656	153	16	2	2	NUM
ejpam-6656	153	17	,	,	PUNCT
ejpam-6656	153	18	.	.	PUNCT
ejpam-6656	153	19	.	.	PUNCT
ejpam-6656	154	1	.	.	PUNCT
ejpam-6656	155	1	,	,	PUNCT
ejpam-6656	155	2	m2	m2	PROPN
ejpam-6656	155	3	;	;	PUNCT
ejpam-6656	155	4	j	j	PROPN
ejpam-6656	155	5	=	=	SYM
ejpam-6656	155	6	1	1	NUM
ejpam-6656	155	7	,	,	PUNCT
ejpam-6656	155	8	2	2	NUM
ejpam-6656	155	9	,	,	PUNCT
ejpam-6656	155	10	.	.	PUNCT
ejpam-6656	155	11	.	.	PUNCT
ejpam-6656	156	1	.	.	PUNCT
ejpam-6656	157	1	,	,	PUNCT
ejpam-6656	157	2	r	r	X
ejpam-6656	157	3	}	}	PUNCT
ejpam-6656	157	4	∪	∪	X
ejpam-6656	157	5	{	{	PUNCT
ejpam-6656	157	6	xi(m	xi(m	NUM
ejpam-6656	157	7	:	:	PUNCT
ejpam-6656	157	8	m)j	m)j	X
ejpam-6656	157	9	,	,	PUNCT
ejpam-6656	157	10	i	i	PRON
ejpam-6656	157	11	=	=	NOUN
ejpam-6656	157	12	m	m	VERB
ejpam-6656	157	13	2	2	NUM
ejpam-6656	158	1	+	+	NUM
ejpam-6656	158	2	1	1	NUM
ejpam-6656	158	3	,	,	PUNCT
ejpam-6656	158	4	m2	m2	PROPN
ejpam-6656	158	5	+	+	PROPN
ejpam-6656	158	6	2	2	NUM
ejpam-6656	158	7	,	,	PUNCT
ejpam-6656	158	8	.	.	PUNCT
ejpam-6656	158	9	.	.	PUNCT
ejpam-6656	159	1	.	.	PUNCT
ejpam-6656	160	1	,	,	PUNCT
ejpam-6656	160	2	m	m	PROPN
ejpam-6656	160	3	;	;	PUNCT
ejpam-6656	160	4	j	j	PROPN
ejpam-6656	160	5	=	=	SYM
ejpam-6656	160	6	1	1	NUM
ejpam-6656	160	7	,	,	PUNCT
ejpam-6656	160	8	2	2	NUM
ejpam-6656	160	9	,	,	PUNCT
ejpam-6656	160	10	.	.	PUNCT
ejpam-6656	160	11	.	.	PUNCT
ejpam-6656	161	1	.	.	PUNCT
ejpam-6656	162	1	,	,	PUNCT
ejpam-6656	162	2	r	r	NOUN
ejpam-6656	162	3	}	}	PUNCT
ejpam-6656	162	4	.	.	PUNCT
ejpam-6656	163	1	then	then	ADV
ejpam-6656	163	2	,	,	PUNCT
ejpam-6656	163	3	the	the	DET
ejpam-6656	163	4	densities	density	NOUN
ejpam-6656	163	5	of	of	ADP
ejpam-6656	163	6	pij	pij	NOUN
ejpam-6656	163	7	are	be	AUX
ejpam-6656	163	8	given	give	VERB
ejpam-6656	163	9	by	by	ADP
ejpam-6656	163	10	g1(pij	g1(pij	PROPN
ejpam-6656	163	11	;	;	PUNCT
ejpam-6656	163	12	θ	θ	PROPN
ejpam-6656	163	13	,	,	PUNCT
ejpam-6656	163	14	β	β	NOUN
ejpam-6656	163	15	)	)	PUNCT
ejpam-6656	163	16	=	=	PUNCT
ejpam-6656	163	17	m	m	PROPN
ejpam-6656	163	18	!	!	PUNCT
ejpam-6656	164	1	(	(	PUNCT
ejpam-6656	164	2	m−	m−	PROPN
ejpam-6656	164	3	1	1	NUM
ejpam-6656	164	4	)	)	PUNCT
ejpam-6656	164	5	!	!	PUNCT
ejpam-6656	165	1	f(pij	f(pij	VERB
ejpam-6656	165	2	;	;	PUNCT
ejpam-6656	165	3	θ	θ	X
ejpam-6656	165	4	,	,	PUNCT
ejpam-6656	165	5	β	β	NOUN
ejpam-6656	165	6	)	)	PUNCT
ejpam-6656	166	1	[	[	X
ejpam-6656	166	2	1−	1−	NUM
ejpam-6656	166	3	f	f	NOUN
ejpam-6656	166	4	(	(	PUNCT
ejpam-6656	166	5	pij	pij	NOUN
ejpam-6656	166	6	;	;	PUNCT
ejpam-6656	166	7	θ	θ	PROPN
ejpam-6656	166	8	,	,	PUNCT
ejpam-6656	166	9	β	β	NOUN
ejpam-6656	166	10	)	)	PUNCT
ejpam-6656	166	11	]	]	PUNCT
ejpam-6656	167	1	m−1	m−1	PROPN
ejpam-6656	167	2	.	.	PUNCT
ejpam-6656	168	1	(	(	PUNCT
ejpam-6656	168	2	14	14	NUM
ejpam-6656	168	3	)	)	PUNCT
ejpam-6656	168	4	gm(pij	gm(pij	ADJ
ejpam-6656	168	5	;	;	PUNCT
ejpam-6656	168	6	θ	θ	X
ejpam-6656	168	7	,	,	PUNCT
ejpam-6656	168	8	β	β	NOUN
ejpam-6656	168	9	)	)	PUNCT
ejpam-6656	168	10	=	=	PUNCT
ejpam-6656	169	1	m	m	PROPN
ejpam-6656	169	2	!	!	PUNCT
ejpam-6656	170	1	(	(	PUNCT
ejpam-6656	170	2	m−	m−	PROPN
ejpam-6656	170	3	1	1	NUM
ejpam-6656	170	4	)	)	PUNCT
ejpam-6656	170	5	!	!	PUNCT
ejpam-6656	171	1	f(pij	f(pij	VERB
ejpam-6656	171	2	;	;	PUNCT
ejpam-6656	171	3	θ	θ	X
ejpam-6656	171	4	,	,	PUNCT
ejpam-6656	171	5	β	β	NOUN
ejpam-6656	171	6	)	)	PUNCT
ejpam-6656	172	1	[	[	PUNCT
ejpam-6656	172	2	f	f	X
ejpam-6656	172	3	(	(	PUNCT
ejpam-6656	172	4	pij	pij	NOUN
ejpam-6656	172	5	;	;	PUNCT
ejpam-6656	172	6	θ	θ	PROPN
ejpam-6656	172	7	,	,	PUNCT
ejpam-6656	172	8	β	β	NOUN
ejpam-6656	172	9	)	)	PUNCT
ejpam-6656	172	10	]	]	X
ejpam-6656	172	11	m−1	m−1	PROPN
ejpam-6656	172	12	.	.	PUNCT
ejpam-6656	173	1	(	(	PUNCT
ejpam-6656	173	2	15	15	X
ejpam-6656	173	3	)	)	PUNCT
ejpam-6656	173	4	combining	combine	VERB
ejpam-6656	173	5	the	the	DET
ejpam-6656	173	6	two	two	NUM
ejpam-6656	173	7	densities	density	NOUN
ejpam-6656	173	8	,	,	PUNCT
ejpam-6656	173	9	we	we	PRON
ejpam-6656	173	10	have	have	VERB
ejpam-6656	173	11	the	the	DET
ejpam-6656	173	12	likelihood	likelihood	NOUN
ejpam-6656	173	13	function	function	NOUN
ejpam-6656	173	14	as	as	ADP
ejpam-6656	173	15	lerss(θ	lerss(θ	ADV
ejpam-6656	173	16	,	,	PUNCT
ejpam-6656	173	17	β	β	X
ejpam-6656	173	18	,	,	PUNCT
ejpam-6656	173	19	p	p	NOUN
ejpam-6656	173	20	)	)	PUNCT
ejpam-6656	173	21	=	=	PUNCT
ejpam-6656	174	1	m	m	VERB
ejpam-6656	174	2	2∏	2∏	NUM
ejpam-6656	174	3	i=1	i=1	X
ejpam-6656	175	1	r∏	r∏	NOUN
ejpam-6656	175	2	j=1	j=1	PROPN
ejpam-6656	175	3	mf(pij	mf(pij	VERB
ejpam-6656	175	4	;	;	PUNCT
ejpam-6656	175	5	θ	θ	PROPN
ejpam-6656	175	6	,	,	PUNCT
ejpam-6656	175	7	β	β	NOUN
ejpam-6656	175	8	)	)	PUNCT
ejpam-6656	176	1	[	[	PUNCT
ejpam-6656	176	2	1−	1−	NUM
ejpam-6656	176	3	f	f	NOUN
ejpam-6656	176	4	(	(	PUNCT
ejpam-6656	176	5	pij	pij	NOUN
ejpam-6656	176	6	;	;	PUNCT
ejpam-6656	176	7	θ	θ	PROPN
ejpam-6656	176	8	,	,	PUNCT
ejpam-6656	176	9	β	β	NOUN
ejpam-6656	176	10	)	)	PUNCT
ejpam-6656	176	11	]	]	PUNCT
ejpam-6656	176	12	m−1	m−1	PROPN
ejpam-6656	176	13	u.	u.	PROPN
ejpam-6656	176	14	deka	deka	PROPN
ejpam-6656	176	15	et	et	PROPN
ejpam-6656	176	16	al	al	PROPN
ejpam-6656	176	17	.	.	PUNCT
ejpam-6656	176	18	/	/	SYM
ejpam-6656	176	19	eur	eur	PROPN
ejpam-6656	176	20	.	.	PUNCT
ejpam-6656	177	1	j.	j.	PROPN
ejpam-6656	177	2	pure	pure	PROPN
ejpam-6656	177	3	appl	appl	PROPN
ejpam-6656	177	4	.	.	PROPN
ejpam-6656	177	5	math	math	PROPN
ejpam-6656	177	6	,	,	PUNCT
ejpam-6656	177	7	18	18	NUM
ejpam-6656	177	8	(	(	PUNCT
ejpam-6656	177	9	4	4	NUM
ejpam-6656	177	10	)	)	PUNCT
ejpam-6656	177	11	(	(	PUNCT
ejpam-6656	177	12	2025	2025	NUM
ejpam-6656	177	13	)	)	PUNCT
ejpam-6656	177	14	,	,	PUNCT
ejpam-6656	177	15	6656	6656	NUM
ejpam-6656	177	16	7	7	NUM
ejpam-6656	177	17	of	of	ADP
ejpam-6656	177	18	18	18	NUM
ejpam-6656	177	19	×	×	NOUN
ejpam-6656	177	20	m∏	m∏	PROPN
ejpam-6656	177	21	i=1+m	i=1+m	NOUN
ejpam-6656	177	22	2	2	NUM
ejpam-6656	177	23	r∏	r∏	NOUN
ejpam-6656	177	24	j=1	j=1	PROPN
ejpam-6656	177	25	mf(pij	mf(pij	VERB
ejpam-6656	177	26	;	;	PUNCT
ejpam-6656	177	27	θ	θ	PROPN
ejpam-6656	177	28	,	,	PUNCT
ejpam-6656	177	29	β	β	NOUN
ejpam-6656	177	30	)	)	PUNCT
ejpam-6656	178	1	[	[	PUNCT
ejpam-6656	178	2	f	f	X
ejpam-6656	178	3	(	(	PUNCT
ejpam-6656	178	4	pij	pij	NOUN
ejpam-6656	178	5	;	;	PUNCT
ejpam-6656	178	6	θ	θ	PROPN
ejpam-6656	178	7	,	,	PUNCT
ejpam-6656	178	8	β	β	NOUN
ejpam-6656	178	9	)	)	PUNCT
ejpam-6656	178	10	]	]	PUNCT
ejpam-6656	178	11	m−1	m−1	PROPN
ejpam-6656	178	12	.	.	PUNCT
ejpam-6656	179	1	then	then	ADV
ejpam-6656	179	2	,	,	PUNCT
ejpam-6656	179	3	substituting	substitute	VERB
ejpam-6656	179	4	the	the	DET
ejpam-6656	179	5	eiwd	eiwd	PROPN
ejpam-6656	179	6	density	density	NOUN
ejpam-6656	179	7	,	,	PUNCT
ejpam-6656	179	8	lerss(θ	lerss(θ	ADV
ejpam-6656	179	9	,	,	PUNCT
ejpam-6656	179	10	β	β	X
ejpam-6656	179	11	,	,	PUNCT
ejpam-6656	179	12	p	p	NOUN
ejpam-6656	179	13	)	)	PUNCT
ejpam-6656	180	1	=	=	SYM
ejpam-6656	180	2	r∏	r∏	NOUN
ejpam-6656	181	1	j=1	j=1	NOUN
ejpam-6656	181	2	m	m	VERB
ejpam-6656	182	1	2∏	2∏	NUM
ejpam-6656	182	2	i=1	i=1	PROPN
ejpam-6656	183	1	mβθ	mβθ	PROPN
ejpam-6656	183	2	p	p	NOUN
ejpam-6656	183	3	−(β+1	−(β+1	NOUN
ejpam-6656	183	4	)	)	PUNCT
ejpam-6656	183	5	ij	ij	NOUN
ejpam-6656	183	6	(	(	PUNCT
ejpam-6656	183	7	e−p−β	e−p−β	NOUN
ejpam-6656	183	8	ij	ij	NOUN
ejpam-6656	183	9	)	)	PUNCT
ejpam-6656	183	10	θ	θ	PROPN
ejpam-6656	183	11	[	[	PUNCT
ejpam-6656	183	12	1−	1−	NUM
ejpam-6656	183	13	(	(	PUNCT
ejpam-6656	183	14	e−p−β	e−p−β	NOUN
ejpam-6656	183	15	ij	ij	NOUN
ejpam-6656	183	16	)	)	PUNCT
ejpam-6656	183	17	θ]m−1	θ]m−1	NOUN
ejpam-6656	183	18	×	×	PROPN
ejpam-6656	183	19	r∏	r∏	NOUN
ejpam-6656	183	20	j=1	j=1	PUNCT
ejpam-6656	184	1	m∏	m∏	PROPN
ejpam-6656	184	2	i	i	PRON
ejpam-6656	184	3	=	=	NOUN
ejpam-6656	184	4	m	m	VERB
ejpam-6656	184	5	2	2	NUM
ejpam-6656	184	6	+1	+1	ADJ
ejpam-6656	184	7	mβθ	mβθ	NOUN
ejpam-6656	184	8	p	p	NOUN
ejpam-6656	184	9	−(β+1	−(β+1	NOUN
ejpam-6656	184	10	)	)	PUNCT
ejpam-6656	184	11	ij	ij	NOUN
ejpam-6656	184	12	(	(	PUNCT
ejpam-6656	184	13	e−p−β	e−p−β	NOUN
ejpam-6656	184	14	ij	ij	NOUN
ejpam-6656	184	15	)	)	PUNCT
ejpam-6656	184	16	θ	θ	PUNCT
ejpam-6656	185	1	[	[	X
ejpam-6656	185	2	(	(	PUNCT
ejpam-6656	185	3	e−p−β	e−p−β	NOUN
ejpam-6656	185	4	ij	ij	NOUN
ejpam-6656	185	5	)	)	PUNCT
ejpam-6656	185	6	θ]m−1	θ]m−1	PROPN
ejpam-6656	185	7	=	=	SYM
ejpam-6656	185	8	mmr	mmr	PROPN
ejpam-6656	185	9	βmr	βmr	PROPN
ejpam-6656	185	10	θmr	θmr	NOUN
ejpam-6656	186	1	r∏	r∏	NOUN
ejpam-6656	187	1	j=1	j=1	PUNCT
ejpam-6656	187	2	m∏	m∏	PROPN
ejpam-6656	187	3	i=1	i=1	X
ejpam-6656	188	1	p	p	NOUN
ejpam-6656	188	2	−(β+1	−(β+1	NOUN
ejpam-6656	188	3	)	)	PUNCT
ejpam-6656	188	4	ij	ij	NOUN
ejpam-6656	188	5	(	(	PUNCT
ejpam-6656	188	6	e−p−β	e−p−β	NOUN
ejpam-6656	188	7	ij	ij	NOUN
ejpam-6656	188	8	)	)	PUNCT
ejpam-6656	188	9	θ	θ	NOUN
ejpam-6656	188	10	×	×	NOUN
ejpam-6656	189	1	r∏	r∏	NOUN
ejpam-6656	190	1	j=1	j=1	NOUN
ejpam-6656	190	2	m	m	VERB
ejpam-6656	191	1	2∏	2∏	NUM
ejpam-6656	191	2	i=1	i=1	X
ejpam-6656	192	1	[	[	PUNCT
ejpam-6656	192	2	1−	1−	NUM
ejpam-6656	192	3	(	(	PUNCT
ejpam-6656	192	4	e−p−β	e−p−β	NOUN
ejpam-6656	192	5	ij	ij	NOUN
ejpam-6656	192	6	)	)	PUNCT
ejpam-6656	192	7	θ]m−1	θ]m−1	PROPN
ejpam-6656	192	8	r∏	r∏	NOUN
ejpam-6656	192	9	j=1	j=1	PUNCT
ejpam-6656	193	1	m∏	m∏	PROPN
ejpam-6656	193	2	i	i	PRON
ejpam-6656	193	3	=	=	NOUN
ejpam-6656	193	4	m	m	VERB
ejpam-6656	193	5	2	2	NUM
ejpam-6656	193	6	+1	+1	NOUN
ejpam-6656	193	7	[	[	X
ejpam-6656	193	8	(	(	PUNCT
ejpam-6656	193	9	e−p−β	e−p−β	NOUN
ejpam-6656	193	10	ij	ij	NOUN
ejpam-6656	193	11	)	)	PUNCT
ejpam-6656	193	12	θ]m−1	θ]m−1	NOUN
ejpam-6656	193	13	.	.	PUNCT
ejpam-6656	194	1	(	(	PUNCT
ejpam-6656	194	2	16	16	NUM
ejpam-6656	194	3	)	)	PUNCT
ejpam-6656	194	4	if	if	SCONJ
ejpam-6656	194	5	the	the	DET
ejpam-6656	194	6	set	set	NOUN
ejpam-6656	194	7	size	size	NOUN
ejpam-6656	194	8	m	m	VERB
ejpam-6656	194	9	is	be	AUX
ejpam-6656	194	10	odd	odd	ADJ
ejpam-6656	194	11	,	,	PUNCT
ejpam-6656	194	12	we	we	PRON
ejpam-6656	194	13	select	select	VERB
ejpam-6656	194	14	the	the	DET
ejpam-6656	194	15	smallest	small	ADJ
ejpam-6656	194	16	unit	unit	NOUN
ejpam-6656	194	17	from	from	ADP
ejpam-6656	194	18	the	the	DET
ejpam-6656	194	19	(	(	PUNCT
ejpam-6656	194	20	m−1)/2	m−1)/2	NOUN
ejpam-6656	194	21	sets	set	NOUN
ejpam-6656	194	22	and	and	CCONJ
ejpam-6656	194	23	the	the	DET
ejpam-6656	194	24	largest	large	ADJ
ejpam-6656	194	25	unit	unit	NOUN
ejpam-6656	194	26	from	from	ADP
ejpam-6656	194	27	the	the	DET
ejpam-6656	194	28	other	other	ADJ
ejpam-6656	194	29	(	(	PUNCT
ejpam-6656	194	30	m	m	VERB
ejpam-6656	194	31	−	−	PROPN
ejpam-6656	195	1	1)/2	1)/2	NUM
ejpam-6656	195	2	sets	set	VERB
ejpam-6656	195	3	,	,	PUNCT
ejpam-6656	195	4	and	and	CCONJ
ejpam-6656	195	5	from	from	ADP
ejpam-6656	195	6	the	the	DET
ejpam-6656	195	7	remaining	remain	VERB
ejpam-6656	195	8	set	set	NOUN
ejpam-6656	195	9	,	,	PUNCT
ejpam-6656	195	10	either	either	CCONJ
ejpam-6656	195	11	the	the	DET
ejpam-6656	195	12	mean	mean	NOUN
ejpam-6656	195	13	of	of	ADP
ejpam-6656	195	14	the	the	DET
ejpam-6656	195	15	largest	large	ADJ
ejpam-6656	195	16	and	and	CCONJ
ejpam-6656	195	17	smallest	small	ADJ
ejpam-6656	195	18	unit	unit	NOUN
ejpam-6656	195	19	is	be	AUX
ejpam-6656	195	20	chosen	choose	VERB
ejpam-6656	195	21	or	or	CCONJ
ejpam-6656	195	22	the	the	DET
ejpam-6656	195	23	median	median	NOUN
ejpam-6656	195	24	of	of	ADP
ejpam-6656	195	25	the	the	DET
ejpam-6656	195	26	whole	whole	ADJ
ejpam-6656	195	27	set	set	NOUN
ejpam-6656	195	28	is	be	AUX
ejpam-6656	195	29	chosen	choose	VERB
ejpam-6656	195	30	for	for	ADP
ejpam-6656	195	31	actual	actual	ADJ
ejpam-6656	195	32	measurement	measurement	NOUN
ejpam-6656	195	33	.	.	PUNCT
ejpam-6656	196	1	we	we	PRON
ejpam-6656	196	2	denote	denote	VERB
ejpam-6656	196	3	xi(h	xi(h	NOUN
ejpam-6656	196	4	:	:	PUNCT
ejpam-6656	196	5	m)j	m)j	X
ejpam-6656	196	6	by	by	ADP
ejpam-6656	196	7	qij	qij	NOUN
ejpam-6656	196	8	;	;	PUNCT
ejpam-6656	196	9	then	then	ADV
ejpam-6656	196	10	we	we	PRON
ejpam-6656	196	11	can	can	AUX
ejpam-6656	196	12	assume	assume	VERB
ejpam-6656	196	13	q	q	X
ejpam-6656	196	14	=	=	PUNCT
ejpam-6656	196	15	{	{	PUNCT
ejpam-6656	196	16	xi(1	xi(1	NOUN
ejpam-6656	196	17	:	:	PUNCT
ejpam-6656	196	18	m)j	m)j	X
ejpam-6656	196	19	;	;	PUNCT
ejpam-6656	196	20	i	i	PRON
ejpam-6656	196	21	=	=	NOUN
ejpam-6656	196	22	1	1	NUM
ejpam-6656	196	23	,	,	PUNCT
ejpam-6656	196	24	2	2	NUM
ejpam-6656	196	25	,	,	PUNCT
ejpam-6656	196	26	.	.	PUNCT
ejpam-6656	196	27	.	.	PUNCT
ejpam-6656	196	28	.	.	PUNCT
ejpam-6656	197	1	,	,	PUNCT
ejpam-6656	197	2	(	(	PUNCT
ejpam-6656	197	3	m−	m−	PROPN
ejpam-6656	197	4	1)/2	1)/2	PROPN
ejpam-6656	197	5	,	,	PUNCT
ejpam-6656	197	6	j	j	PROPN
ejpam-6656	197	7	=	=	SYM
ejpam-6656	197	8	1	1	NUM
ejpam-6656	197	9	,	,	PUNCT
ejpam-6656	197	10	2	2	NUM
ejpam-6656	197	11	,	,	PUNCT
ejpam-6656	197	12	.	.	PUNCT
ejpam-6656	197	13	.	.	PUNCT
ejpam-6656	197	14	.	.	PUNCT
ejpam-6656	198	1	,	,	PUNCT
ejpam-6656	198	2	r	r	X
ejpam-6656	198	3	}	}	PUNCT
ejpam-6656	198	4	∪	∪	X
ejpam-6656	198	5	{	{	PUNCT
ejpam-6656	198	6	xi(m	xi(m	NUM
ejpam-6656	198	7	:	:	PUNCT
ejpam-6656	198	8	m)j	m)j	X
ejpam-6656	198	9	;	;	PUNCT
ejpam-6656	198	10	i	i	PRON
ejpam-6656	198	11	=	=	PUNCT
ejpam-6656	198	12	(	(	PUNCT
ejpam-6656	198	13	m+	m+	NUM
ejpam-6656	198	14	1)/2	1)/2	NUM
ejpam-6656	198	15	,	,	PUNCT
ejpam-6656	198	16	(	(	PUNCT
ejpam-6656	198	17	m+	m+	NOUN
ejpam-6656	198	18	3)/2	3)/2	NUM
ejpam-6656	198	19	,	,	PUNCT
ejpam-6656	198	20	.	.	PUNCT
ejpam-6656	198	21	.	.	PUNCT
ejpam-6656	198	22	.	.	PUNCT
ejpam-6656	199	1	,	,	PUNCT
ejpam-6656	199	2	(	(	PUNCT
ejpam-6656	199	3	m−	m−	PROPN
ejpam-6656	199	4	1	1	NUM
ejpam-6656	199	5	)	)	PUNCT
ejpam-6656	199	6	,	,	PUNCT
ejpam-6656	199	7	j	j	PROPN
ejpam-6656	199	8	=	=	SYM
ejpam-6656	199	9	1	1	NUM
ejpam-6656	199	10	,	,	PUNCT
ejpam-6656	199	11	2	2	NUM
ejpam-6656	199	12	,	,	PUNCT
ejpam-6656	199	13	.	.	PUNCT
ejpam-6656	199	14	.	.	PUNCT
ejpam-6656	200	1	.	.	PUNCT
ejpam-6656	201	1	,	,	PUNCT
ejpam-6656	201	2	r	r	X
ejpam-6656	201	3	}	}	PUNCT
ejpam-6656	201	4	∪	∪	ADJ
ejpam-6656	201	5	{	{	PUNCT
ejpam-6656	201	6	xi((m+1)/2	xi((m+1)/2	NOUN
ejpam-6656	201	7	:	:	PUNCT
ejpam-6656	201	8	m)j	m)j	X
ejpam-6656	201	9	;	;	PUNCT
ejpam-6656	202	1	i	i	PRON
ejpam-6656	202	2	=	=	SYM
ejpam-6656	202	3	m	m	PROPN
ejpam-6656	202	4	,	,	PUNCT
ejpam-6656	202	5	j	j	PROPN
ejpam-6656	202	6	=	=	SYM
ejpam-6656	202	7	1	1	NUM
ejpam-6656	202	8	,	,	PUNCT
ejpam-6656	202	9	2	2	NUM
ejpam-6656	202	10	,	,	PUNCT
ejpam-6656	202	11	.	.	PUNCT
ejpam-6656	202	12	.	.	PUNCT
ejpam-6656	202	13	.	.	PUNCT
ejpam-6656	203	1	,	,	PUNCT
ejpam-6656	203	2	r	r	NOUN
ejpam-6656	203	3	}	}	PUNCT
ejpam-6656	203	4	.	.	PUNCT
ejpam-6656	204	1	then	then	ADV
ejpam-6656	204	2	the	the	DET
ejpam-6656	204	3	densities	density	NOUN
ejpam-6656	204	4	are	be	AUX
ejpam-6656	204	5	given	give	VERB
ejpam-6656	204	6	by	by	ADP
ejpam-6656	204	7	g1(qij	g1(qij	PROPN
ejpam-6656	204	8	;	;	PUNCT
ejpam-6656	204	9	θ	θ	PROPN
ejpam-6656	204	10	,	,	PUNCT
ejpam-6656	204	11	β	β	NOUN
ejpam-6656	204	12	)	)	PUNCT
ejpam-6656	204	13	=	=	PUNCT
ejpam-6656	204	14	m	m	NOUN
ejpam-6656	204	15	!	!	PUNCT
ejpam-6656	205	1	(	(	PUNCT
ejpam-6656	205	2	1−	1−	NUM
ejpam-6656	205	3	1)!(m−	1)!(m−	NUM
ejpam-6656	205	4	1	1	NUM
ejpam-6656	205	5	)	)	PUNCT
ejpam-6656	205	6	!	!	PUNCT
ejpam-6656	206	1	f(qij	f(qij	ADJ
ejpam-6656	206	2	;	;	PUNCT
ejpam-6656	206	3	θ	θ	PROPN
ejpam-6656	206	4	,	,	PUNCT
ejpam-6656	206	5	β	β	NOUN
ejpam-6656	206	6	)	)	PUNCT
ejpam-6656	207	1	[	[	PUNCT
ejpam-6656	207	2	f	f	X
ejpam-6656	207	3	(	(	PUNCT
ejpam-6656	207	4	qij	qij	NOUN
ejpam-6656	207	5	;	;	PUNCT
ejpam-6656	207	6	θ	θ	PROPN
ejpam-6656	207	7	,	,	PUNCT
ejpam-6656	207	8	β	β	NOUN
ejpam-6656	207	9	)	)	PUNCT
ejpam-6656	207	10	]	]	PUNCT
ejpam-6656	208	1	1−1	1−1	NUM
ejpam-6656	208	2	[	[	PUNCT
ejpam-6656	208	3	1−	1−	NUM
ejpam-6656	208	4	f	f	NOUN
ejpam-6656	208	5	(	(	PUNCT
ejpam-6656	208	6	qij	qij	NOUN
ejpam-6656	208	7	;	;	PUNCT
ejpam-6656	208	8	θ	θ	PROPN
ejpam-6656	208	9	,	,	PUNCT
ejpam-6656	208	10	β	β	NOUN
ejpam-6656	208	11	)	)	PUNCT
ejpam-6656	208	12	]	]	X
ejpam-6656	208	13	m−1	m−1	PROPN
ejpam-6656	208	14	,	,	PUNCT
ejpam-6656	208	15	(	(	PUNCT
ejpam-6656	208	16	17	17	NUM
ejpam-6656	208	17	)	)	PUNCT
ejpam-6656	208	18	gm(qij	gm(qij	NOUN
ejpam-6656	208	19	;	;	PUNCT
ejpam-6656	208	20	θ	θ	PROPN
ejpam-6656	208	21	,	,	PUNCT
ejpam-6656	208	22	β	β	NOUN
ejpam-6656	208	23	)	)	PUNCT
ejpam-6656	208	24	=	=	PUNCT
ejpam-6656	208	25	m	m	PROPN
ejpam-6656	208	26	!	!	PUNCT
ejpam-6656	208	27	(	(	PUNCT
ejpam-6656	208	28	m−	m−	PROPN
ejpam-6656	208	29	1)!(m−m	1)!(m−m	NUM
ejpam-6656	208	30	)	)	PUNCT
ejpam-6656	208	31	!	!	PUNCT
ejpam-6656	209	1	f(qij	f(qij	ADJ
ejpam-6656	209	2	;	;	PUNCT
ejpam-6656	209	3	θ	θ	PROPN
ejpam-6656	209	4	,	,	PUNCT
ejpam-6656	209	5	β	β	NOUN
ejpam-6656	209	6	)	)	PUNCT
ejpam-6656	210	1	[	[	PUNCT
ejpam-6656	210	2	f	f	X
ejpam-6656	210	3	(	(	PUNCT
ejpam-6656	210	4	qij	qij	NOUN
ejpam-6656	210	5	;	;	PUNCT
ejpam-6656	210	6	θ	θ	PROPN
ejpam-6656	210	7	,	,	PUNCT
ejpam-6656	210	8	β	β	NOUN
ejpam-6656	210	9	)	)	PUNCT
ejpam-6656	210	10	]	]	PUNCT
ejpam-6656	211	1	m−1	m−1	PROPN
ejpam-6656	211	2	[	[	PUNCT
ejpam-6656	211	3	1−	1−	NUM
ejpam-6656	211	4	f	f	X
ejpam-6656	211	5	(	(	PUNCT
ejpam-6656	211	6	qij	qij	NOUN
ejpam-6656	211	7	;	;	PUNCT
ejpam-6656	211	8	θ	θ	PROPN
ejpam-6656	211	9	,	,	PUNCT
ejpam-6656	211	10	β	β	NOUN
ejpam-6656	211	11	)	)	PUNCT
ejpam-6656	211	12	]	]	PUNCT
ejpam-6656	211	13	m−m	m−m	PROPN
ejpam-6656	211	14	,	,	PUNCT
ejpam-6656	211	15	(	(	PUNCT
ejpam-6656	211	16	18	18	NUM
ejpam-6656	211	17	)	)	PUNCT
ejpam-6656	211	18	g(m+1)/2(qij	g(m+1)/2(qij	NOUN
ejpam-6656	211	19	;	;	PUNCT
ejpam-6656	211	20	θ	θ	NOUN
ejpam-6656	211	21	,	,	PUNCT
ejpam-6656	211	22	β	β	NOUN
ejpam-6656	211	23	)	)	PUNCT
ejpam-6656	211	24	=	=	PUNCT
ejpam-6656	211	25	m	m	VERB
ejpam-6656	211	26	!	!	PUNCT
ejpam-6656	212	1	(	(	PUNCT
ejpam-6656	212	2	m−1	m−1	PROPN
ejpam-6656	212	3	2	2	NUM
ejpam-6656	212	4	)	)	PUNCT
ejpam-6656	212	5	!	!	PUNCT
ejpam-6656	213	1	(	(	PUNCT
ejpam-6656	213	2	m−1	m−1	PROPN
ejpam-6656	213	3	2	2	NUM
ejpam-6656	213	4	)	)	PUNCT
ejpam-6656	213	5	!	!	PUNCT
ejpam-6656	214	1	f(qij	f(qij	ADJ
ejpam-6656	214	2	;	;	PUNCT
ejpam-6656	214	3	θ	θ	PROPN
ejpam-6656	214	4	,	,	PUNCT
ejpam-6656	214	5	β	β	NOUN
ejpam-6656	214	6	)	)	PUNCT
ejpam-6656	215	1	[	[	PUNCT
ejpam-6656	215	2	f	f	X
ejpam-6656	215	3	(	(	PUNCT
ejpam-6656	215	4	qij	qij	NOUN
ejpam-6656	215	5	;	;	PUNCT
ejpam-6656	215	6	θ	θ	PROPN
ejpam-6656	215	7	,	,	PUNCT
ejpam-6656	215	8	β	β	NOUN
ejpam-6656	215	9	)	)	PUNCT
ejpam-6656	215	10	]	]	PUNCT
ejpam-6656	215	11	(	(	PUNCT
ejpam-6656	215	12	m+1)/2−1	m+1)/2−1	PROPN
ejpam-6656	215	13	×	×	NOUN
ejpam-6656	215	14	[	[	PUNCT
ejpam-6656	215	15	1−	1−	NUM
ejpam-6656	215	16	f	f	NOUN
ejpam-6656	215	17	(	(	PUNCT
ejpam-6656	215	18	qij	qij	NOUN
ejpam-6656	215	19	;	;	PUNCT
ejpam-6656	215	20	θ	θ	PROPN
ejpam-6656	215	21	,	,	PUNCT
ejpam-6656	215	22	β	β	NOUN
ejpam-6656	215	23	)	)	PUNCT
ejpam-6656	215	24	]	]	PUNCT
ejpam-6656	215	25	m−(m+1)/2	m−(m+1)/2	X
ejpam-6656	215	26	.	.	PUNCT
ejpam-6656	216	1	(	(	PUNCT
ejpam-6656	216	2	19	19	NUM
ejpam-6656	216	3	)	)	PUNCT
ejpam-6656	216	4	the	the	DET
ejpam-6656	216	5	likelihood	likelihood	NOUN
ejpam-6656	216	6	function	function	NOUN
ejpam-6656	216	7	can	can	AUX
ejpam-6656	216	8	be	be	AUX
ejpam-6656	216	9	formulated	formulate	VERB
ejpam-6656	216	10	as	as	ADP
ejpam-6656	216	11	lerss(θ	lerss(θ	ADV
ejpam-6656	216	12	,	,	PUNCT
ejpam-6656	216	13	β	β	X
ejpam-6656	216	14	,	,	PUNCT
ejpam-6656	216	15	q	q	NOUN
ejpam-6656	216	16	)	)	PUNCT
ejpam-6656	217	1	=	=	SYM
ejpam-6656	217	2	r∏	r∏	NOUN
ejpam-6656	217	3	j=1	j=1	NOUN
ejpam-6656	217	4	(	(	PUNCT
ejpam-6656	217	5	m−1)/2∏	m−1)/2∏	NOUN
ejpam-6656	217	6	i=1	i=1	PROPN
ejpam-6656	217	7	g1(qij	g1(qij	PROPN
ejpam-6656	217	8	;	;	PUNCT
ejpam-6656	217	9	θ	θ	NOUN
ejpam-6656	217	10	,	,	PUNCT
ejpam-6656	217	11	β	β	NOUN
ejpam-6656	217	12	)	)	PUNCT
ejpam-6656	217	13	r∏	r∏	NOUN
ejpam-6656	218	1	j=1	j=1	PROPN
ejpam-6656	218	2	m−1∏	m−1∏	PROPN
ejpam-6656	218	3	i=(m+1)/2	i=(m+1)/2	PROPN
ejpam-6656	218	4	gm(qij	gm(qij	PROPN
ejpam-6656	218	5	;	;	PUNCT
ejpam-6656	218	6	θ	θ	PROPN
ejpam-6656	218	7	,	,	PUNCT
ejpam-6656	218	8	β	β	NOUN
ejpam-6656	218	9	)	)	PUNCT
ejpam-6656	218	10	r∏	r∏	NOUN
ejpam-6656	219	1	j=1	j=1	PUNCT
ejpam-6656	219	2	m∏	m∏	PROPN
ejpam-6656	219	3	i	i	PRON
ejpam-6656	219	4	=	=	NOUN
ejpam-6656	219	5	m	m	VERB
ejpam-6656	219	6	g(m+1)/2(qij	g(m+1)/2(qij	NOUN
ejpam-6656	219	7	;	;	PUNCT
ejpam-6656	219	8	θ	θ	NOUN
ejpam-6656	219	9	,	,	PUNCT
ejpam-6656	219	10	β	β	X
ejpam-6656	219	11	)	)	PUNCT
ejpam-6656	219	12	u.	u.	NOUN
ejpam-6656	219	13	deka	deka	PROPN
ejpam-6656	219	14	et	et	PROPN
ejpam-6656	219	15	al	al	PROPN
ejpam-6656	219	16	.	.	PUNCT
ejpam-6656	219	17	/	/	SYM
ejpam-6656	219	18	eur	eur	PROPN
ejpam-6656	219	19	.	.	PUNCT
ejpam-6656	220	1	j.	j.	PROPN
ejpam-6656	220	2	pure	pure	PROPN
ejpam-6656	220	3	appl	appl	PROPN
ejpam-6656	220	4	.	.	PROPN
ejpam-6656	220	5	math	math	PROPN
ejpam-6656	220	6	,	,	PUNCT
ejpam-6656	220	7	18	18	NUM
ejpam-6656	220	8	(	(	PUNCT
ejpam-6656	220	9	4	4	NUM
ejpam-6656	220	10	)	)	PUNCT
ejpam-6656	220	11	(	(	PUNCT
ejpam-6656	220	12	2025	2025	NUM
ejpam-6656	220	13	)	)	PUNCT
ejpam-6656	220	14	,	,	PUNCT
ejpam-6656	220	15	6656	6656	NUM
ejpam-6656	220	16	8	8	NUM
ejpam-6656	220	17	of	of	ADP
ejpam-6656	220	18	18	18	NUM
ejpam-6656	220	19	=	=	SYM
ejpam-6656	220	20	[	[	PUNCT
ejpam-6656	220	21	m	m	NOUN
ejpam-6656	220	22	!	!	PUNCT
ejpam-6656	220	23	(	(	PUNCT
ejpam-6656	220	24	(	(	PUNCT
ejpam-6656	220	25	m−	m−	PROPN
ejpam-6656	220	26	1)/2	1)/2	NUM
ejpam-6656	220	27	)	)	PUNCT
ejpam-6656	220	28	!	!	PUNCT
ejpam-6656	221	1	2	2	NUM
ejpam-6656	221	2	]	]	SYM
ejpam-6656	221	3	r	r	NOUN
ejpam-6656	221	4	m	m	NOUN
ejpam-6656	221	5	r(m−1	r(m−1	NOUN
ejpam-6656	221	6	)	)	PUNCT
ejpam-6656	221	7	βmr	βmr	NOUN
ejpam-6656	221	8	θmr	θmr	NOUN
ejpam-6656	222	1	r∏	r∏	NOUN
ejpam-6656	223	1	j=1	j=1	PUNCT
ejpam-6656	223	2	m∏	m∏	PROPN
ejpam-6656	223	3	i=1	i=1	X
ejpam-6656	223	4	q	q	NOUN
ejpam-6656	223	5	−(β+1	−(β+1	NOUN
ejpam-6656	223	6	)	)	PUNCT
ejpam-6656	224	1	ij	ij	NOUN
ejpam-6656	224	2	(	(	PUNCT
ejpam-6656	224	3	e−q−β	e−q−β	INTJ
ejpam-6656	224	4	ij	ij	INTJ
ejpam-6656	224	5	)	)	PUNCT
ejpam-6656	225	1	θ	θ	NOUN
ejpam-6656	225	2	×	×	NOUN
ejpam-6656	225	3	r∏	r∏	NOUN
ejpam-6656	225	4	j=1	j=1	NOUN
ejpam-6656	225	5	(	(	PUNCT
ejpam-6656	225	6	m−1)/2∏	m−1)/2∏	NOUN
ejpam-6656	225	7	i=1	i=1	X
ejpam-6656	225	8	[	[	PUNCT
ejpam-6656	225	9	1−	1−	NUM
ejpam-6656	225	10	(	(	PUNCT
ejpam-6656	225	11	e−q−β	e−q−β	ADJ
ejpam-6656	225	12	ij	ij	NOUN
ejpam-6656	225	13	)	)	PUNCT
ejpam-6656	225	14	θ]m−1	θ]m−1	NOUN
ejpam-6656	225	15	×	×	PROPN
ejpam-6656	225	16	r∏	r∏	NOUN
ejpam-6656	226	1	j=1	j=1	NOUN
ejpam-6656	226	2	m−1∏	m−1∏	PROPN
ejpam-6656	226	3	i=(m+1)/2	i=(m+1)/2	PROPN
ejpam-6656	226	4	[	[	X
ejpam-6656	226	5	(	(	PUNCT
ejpam-6656	226	6	e−q−β	e−q−β	ADJ
ejpam-6656	226	7	ij	ij	NOUN
ejpam-6656	226	8	)	)	PUNCT
ejpam-6656	226	9	θ]m−1	θ]m−1	NOUN
ejpam-6656	226	10	×	×	PROPN
ejpam-6656	226	11	r∏	r∏	NOUN
ejpam-6656	226	12	j=1	j=1	PUNCT
ejpam-6656	227	1	m∏	m∏	PROPN
ejpam-6656	227	2	i	i	PRON
ejpam-6656	227	3	=	=	VERB
ejpam-6656	227	4	m	m	VERB
ejpam-6656	227	5	{	{	PUNCT
ejpam-6656	227	6	(	(	PUNCT
ejpam-6656	227	7	e−q−β	e−q−β	ADJ
ejpam-6656	227	8	ij	ij	NOUN
ejpam-6656	227	9	)	)	PUNCT
ejpam-6656	227	10	θ	θ	X
ejpam-6656	227	11	·	·	PUNCT
ejpam-6656	228	1	[	[	X
ejpam-6656	228	2	1−	1−	NUM
ejpam-6656	228	3	(	(	PUNCT
ejpam-6656	228	4	e−q−β	e−q−β	ADJ
ejpam-6656	228	5	ij	ij	NOUN
ejpam-6656	228	6	)	)	PUNCT
ejpam-6656	228	7	θ]}(m−1)/2	θ]}(m−1)/2	NOUN
ejpam-6656	228	8	.	.	PUNCT
ejpam-6656	229	1	(	(	PUNCT
ejpam-6656	229	2	20	20	NUM
ejpam-6656	229	3	)	)	PUNCT
ejpam-6656	229	4	since	since	SCONJ
ejpam-6656	229	5	closed	close	VERB
ejpam-6656	229	6	-	-	PUNCT
ejpam-6656	229	7	form	form	NOUN
ejpam-6656	229	8	solutions	solution	NOUN
ejpam-6656	229	9	for	for	ADP
ejpam-6656	229	10	equations	equation	NOUN
ejpam-6656	229	11	(	(	PUNCT
ejpam-6656	229	12	16	16	NUM
ejpam-6656	229	13	)	)	PUNCT
ejpam-6656	229	14	and	and	CCONJ
ejpam-6656	229	15	(	(	PUNCT
ejpam-6656	229	16	20	20	NUM
ejpam-6656	229	17	)	)	PUNCT
ejpam-6656	229	18	are	be	AUX
ejpam-6656	229	19	not	not	PART
ejpam-6656	229	20	available	available	ADJ
ejpam-6656	229	21	,	,	PUNCT
ejpam-6656	229	22	numerical	numerical	ADJ
ejpam-6656	229	23	methods	method	NOUN
ejpam-6656	229	24	are	be	AUX
ejpam-6656	229	25	used	use	VERB
ejpam-6656	229	26	to	to	PART
ejpam-6656	229	27	estimate	estimate	VERB
ejpam-6656	229	28	θ̂	θ̂	NUM
ejpam-6656	229	29	and	and	CCONJ
ejpam-6656	229	30	β̂.	β̂.	NOUN
ejpam-6656	229	31	2.4	2.4	NUM
ejpam-6656	229	32	.	.	PUNCT
ejpam-6656	230	1	estimation	estimation	NOUN
ejpam-6656	230	2	of	of	ADP
ejpam-6656	230	3	parameters	parameter	NOUN
ejpam-6656	230	4	through	through	ADP
ejpam-6656	230	5	mrss	mrss	NOUN
ejpam-6656	230	6	this	this	DET
ejpam-6656	230	7	section	section	NOUN
ejpam-6656	230	8	focuses	focus	VERB
ejpam-6656	230	9	on	on	ADP
ejpam-6656	230	10	generating	generate	VERB
ejpam-6656	230	11	the	the	DET
ejpam-6656	230	12	maximum	maximum	ADJ
ejpam-6656	230	13	likelihood	likelihood	NOUN
ejpam-6656	230	14	equations	equation	NOUN
ejpam-6656	230	15	for	for	ADP
ejpam-6656	230	16	estimating	estimate	VERB
ejpam-6656	230	17	the	the	DET
ejpam-6656	230	18	parameters	parameter	NOUN
ejpam-6656	230	19	of	of	ADP
ejpam-6656	230	20	the	the	DET
ejpam-6656	230	21	eiwd	eiwd	PROPN
ejpam-6656	230	22	using	use	VERB
ejpam-6656	230	23	the	the	DET
ejpam-6656	230	24	mrss	mrss	ADJ
ejpam-6656	230	25	scheme	scheme	NOUN
ejpam-6656	230	26	.	.	PUNCT
ejpam-6656	231	1	we	we	PRON
ejpam-6656	231	2	take	take	VERB
ejpam-6656	231	3	m	m	PRON
ejpam-6656	231	4	random	random	ADJ
ejpam-6656	231	5	sets	set	NOUN
ejpam-6656	231	6	of	of	ADP
ejpam-6656	231	7	size	size	NOUN
ejpam-6656	231	8	m	m	PROPN
ejpam-6656	231	9	units	unit	NOUN
ejpam-6656	231	10	from	from	ADP
ejpam-6656	231	11	the	the	DET
ejpam-6656	231	12	population	population	NOUN
ejpam-6656	231	13	and	and	CCONJ
ejpam-6656	231	14	rank	rank	VERB
ejpam-6656	231	15	them	they	PRON
ejpam-6656	231	16	inside	inside	ADP
ejpam-6656	231	17	each	each	DET
ejpam-6656	231	18	set	set	NOUN
ejpam-6656	231	19	.	.	PUNCT
ejpam-6656	232	1	this	this	DET
ejpam-6656	232	2	selection	selection	NOUN
ejpam-6656	232	3	technique	technique	NOUN
ejpam-6656	232	4	can	can	AUX
ejpam-6656	232	5	be	be	AUX
ejpam-6656	232	6	repeated	repeat	VERB
ejpam-6656	232	7	r	r	NOUN
ejpam-6656	232	8	times	time	NOUN
ejpam-6656	232	9	to	to	PART
ejpam-6656	232	10	obtain	obtain	VERB
ejpam-6656	232	11	an	an	DET
ejpam-6656	232	12	mrss	mrss	NOUN
ejpam-6656	232	13	with	with	ADP
ejpam-6656	232	14	size	size	NOUN
ejpam-6656	232	15	n	n	PROPN
ejpam-6656	232	16	=	=	SYM
ejpam-6656	232	17	mr	mr	PROPN
ejpam-6656	232	18	.	.	PROPN
ejpam-6656	232	19	when	when	SCONJ
ejpam-6656	232	20	the	the	DET
ejpam-6656	232	21	set	set	NOUN
ejpam-6656	232	22	size	size	NOUN
ejpam-6656	232	23	m	m	VERB
ejpam-6656	232	24	is	be	AUX
ejpam-6656	232	25	odd	odd	ADJ
ejpam-6656	232	26	,	,	PUNCT
ejpam-6656	232	27	the	the	DET
ejpam-6656	232	28	unit	unit	NOUN
ejpam-6656	232	29	with	with	ADP
ejpam-6656	232	30	the	the	DET
ejpam-6656	232	31	median	median	ADJ
ejpam-6656	232	32	rank	rank	NOUN
ejpam-6656	232	33	is	be	AUX
ejpam-6656	232	34	chosen	choose	VERB
ejpam-6656	232	35	from	from	ADP
ejpam-6656	232	36	each	each	DET
ejpam-6656	232	37	group	group	NOUN
ejpam-6656	232	38	.	.	PUNCT
ejpam-6656	233	1	suppose	suppose	VERB
ejpam-6656	233	2	u	u	PRON
ejpam-6656	233	3	=	=	X
ejpam-6656	233	4	{	{	PUNCT
ejpam-6656	233	5	xi((m+1)/2	xi((m+1)/2	NOUN
ejpam-6656	233	6	:	:	PUNCT
ejpam-6656	233	7	m)j	m)j	X
ejpam-6656	233	8	;	;	PUNCT
ejpam-6656	234	1	i	i	PRON
ejpam-6656	234	2	=	=	NOUN
ejpam-6656	234	3	1	1	NUM
ejpam-6656	234	4	,	,	PUNCT
ejpam-6656	234	5	2	2	NUM
ejpam-6656	234	6	,	,	PUNCT
ejpam-6656	234	7	.	.	PUNCT
ejpam-6656	234	8	.	.	PUNCT
ejpam-6656	234	9	.	.	PUNCT
ejpam-6656	235	1	,	,	PUNCT
ejpam-6656	235	2	m	m	PROPN
ejpam-6656	235	3	;	;	PUNCT
ejpam-6656	235	4	j	j	PROPN
ejpam-6656	235	5	=	=	SYM
ejpam-6656	235	6	1	1	NUM
ejpam-6656	235	7	,	,	PUNCT
ejpam-6656	235	8	2	2	NUM
ejpam-6656	235	9	,	,	PUNCT
ejpam-6656	235	10	.	.	PUNCT
ejpam-6656	235	11	.	.	PUNCT
ejpam-6656	236	1	.	.	PUNCT
ejpam-6656	237	1	,	,	PUNCT
ejpam-6656	237	2	r	r	NOUN
ejpam-6656	237	3	}	}	PUNCT
ejpam-6656	237	4	,	,	PUNCT
ejpam-6656	237	5	and	and	CCONJ
ejpam-6656	237	6	g(m+1)/2(uij	g(m+1)/2(uij	NOUN
ejpam-6656	237	7	;	;	PUNCT
ejpam-6656	237	8	θ	θ	X
ejpam-6656	237	9	,	,	PUNCT
ejpam-6656	237	10	β	β	NOUN
ejpam-6656	237	11	)	)	PUNCT
ejpam-6656	237	12	=	=	PUNCT
ejpam-6656	238	1	m	m	VERB
ejpam-6656	238	2	!	!	PUNCT
ejpam-6656	238	3	(	(	PUNCT
ejpam-6656	238	4	m+1	m+1	NUM
ejpam-6656	238	5	2	2	NUM
ejpam-6656	238	6	−	−	NOUN
ejpam-6656	238	7	1	1	NUM
ejpam-6656	238	8	)	)	PUNCT
ejpam-6656	238	9	!	!	PUNCT
ejpam-6656	239	1	(	(	PUNCT
ejpam-6656	239	2	m+1	m+1	NUM
ejpam-6656	239	3	2	2	NUM
ejpam-6656	239	4	−	−	NOUN
ejpam-6656	239	5	1	1	NUM
ejpam-6656	239	6	)	)	PUNCT
ejpam-6656	239	7	!	!	PUNCT
ejpam-6656	240	1	f(uij	f(uij	NOUN
ejpam-6656	240	2	;	;	PUNCT
ejpam-6656	240	3	θ	θ	X
ejpam-6656	240	4	,	,	PUNCT
ejpam-6656	240	5	β)f	β)f	PUNCT
ejpam-6656	240	6	(	(	PUNCT
ejpam-6656	240	7	uij	uij	X
ejpam-6656	240	8	;	;	PUNCT
ejpam-6656	240	9	θ	θ	PROPN
ejpam-6656	240	10	,	,	PUNCT
ejpam-6656	240	11	β	β	NOUN
ejpam-6656	240	12	)	)	PUNCT
ejpam-6656	241	1	[	[	PUNCT
ejpam-6656	241	2	1−	1−	NUM
ejpam-6656	241	3	f	f	X
ejpam-6656	241	4	(	(	PUNCT
ejpam-6656	241	5	uij	uij	PROPN
ejpam-6656	241	6	;	;	PUNCT
ejpam-6656	241	7	θ	θ	PROPN
ejpam-6656	241	8	,	,	PUNCT
ejpam-6656	241	9	β	β	NOUN
ejpam-6656	241	10	)	)	PUNCT
ejpam-6656	241	11	]	]	PUNCT
ejpam-6656	241	12	m+1	m+1	NUM
ejpam-6656	241	13	2	2	NUM
ejpam-6656	241	14	.	.	PUNCT
ejpam-6656	242	1	(	(	PUNCT
ejpam-6656	242	2	21	21	NUM
ejpam-6656	242	3	)	)	PUNCT
ejpam-6656	242	4	then	then	ADV
ejpam-6656	242	5	,	,	PUNCT
ejpam-6656	242	6	lmrss(θ	lmrss(θ	PROPN
ejpam-6656	242	7	,	,	PUNCT
ejpam-6656	242	8	β	β	X
ejpam-6656	242	9	,	,	PUNCT
ejpam-6656	242	10	u	u	NOUN
ejpam-6656	242	11	)	)	PUNCT
ejpam-6656	243	1	=	=	SYM
ejpam-6656	243	2	r∏	r∏	NOUN
ejpam-6656	243	3	j=1	j=1	PUNCT
ejpam-6656	244	1	m∏	m∏	PROPN
ejpam-6656	244	2	i=1	i=1	PROPN
ejpam-6656	245	1	gm+1	gm+1	PUNCT
ejpam-6656	245	2	2	2	NUM
ejpam-6656	245	3	(	(	PUNCT
ejpam-6656	245	4	uij	uij	PROPN
ejpam-6656	245	5	;	;	PUNCT
ejpam-6656	245	6	θ	θ	PROPN
ejpam-6656	245	7	,	,	PUNCT
ejpam-6656	245	8	β	β	X
ejpam-6656	245	9	)	)	PUNCT
ejpam-6656	245	10	=	=	SYM
ejpam-6656	245	11	βmr	βmr	PROPN
ejpam-6656	245	12	θmr	θmr	NOUN
ejpam-6656	245	13	[	[	PUNCT
ejpam-6656	245	14	m	m	NOUN
ejpam-6656	245	15	!	!	PUNCT
ejpam-6656	245	16	{	{	PUNCT
ejpam-6656	246	1	(	(	PUNCT
ejpam-6656	246	2	m+1	m+1	NUM
ejpam-6656	246	3	2	2	NUM
ejpam-6656	246	4	)	)	PUNCT
ejpam-6656	246	5	!	!	PUNCT
ejpam-6656	247	1	}	}	PUNCT
ejpam-6656	247	2	2	2	X
ejpam-6656	247	3	]	]	PUNCT
ejpam-6656	247	4	mr	mr	PROPN
ejpam-6656	247	5	r∏	r∏	PROPN
ejpam-6656	247	6	j=1	j=1	PUNCT
ejpam-6656	248	1	m∏	m∏	PROPN
ejpam-6656	248	2	i=1	i=1	PART
ejpam-6656	248	3	u	u	NOUN
ejpam-6656	248	4	−(β+1	−(β+1	NOUN
ejpam-6656	248	5	)	)	PUNCT
ejpam-6656	248	6	ij	ij	NOUN
ejpam-6656	248	7	(	(	PUNCT
ejpam-6656	248	8	e−u−β	e−u−β	PROPN
ejpam-6656	248	9	ij	ij	NOUN
ejpam-6656	248	10	)	)	PUNCT
ejpam-6656	248	11	θ	θ	PROPN
ejpam-6656	248	12	×	×	NOUN
ejpam-6656	248	13	{	{	PUNCT
ejpam-6656	248	14	(	(	PUNCT
ejpam-6656	248	15	e−u−β	e−u−β	PROPN
ejpam-6656	248	16	ij	ij	NOUN
ejpam-6656	248	17	)	)	PUNCT
ejpam-6656	248	18	θ	θ	PROPN
ejpam-6656	248	19	[	[	PUNCT
ejpam-6656	248	20	1−	1−	NUM
ejpam-6656	248	21	(	(	PUNCT
ejpam-6656	248	22	e−u−β	e−u−β	NOUN
ejpam-6656	248	23	ij	ij	NOUN
ejpam-6656	248	24	)	)	PUNCT
ejpam-6656	248	25	θ	θ	NOUN
ejpam-6656	248	26	]	]	PUNCT
ejpam-6656	248	27	}	}	PUNCT
ejpam-6656	248	28	m−1	m−1	PROPN
ejpam-6656	248	29	2	2	NUM
ejpam-6656	248	30	.	.	PUNCT
ejpam-6656	249	1	(	(	PUNCT
ejpam-6656	249	2	22	22	NUM
ejpam-6656	249	3	)	)	PUNCT
ejpam-6656	249	4	when	when	SCONJ
ejpam-6656	249	5	set	set	VERB
ejpam-6656	249	6	size	size	NOUN
ejpam-6656	249	7	m	m	VERB
ejpam-6656	249	8	is	be	AUX
ejpam-6656	249	9	even	even	ADV
ejpam-6656	249	10	,	,	PUNCT
ejpam-6656	249	11	we	we	PRON
ejpam-6656	249	12	select	select	VERB
ejpam-6656	249	13	the	the	DET
ejpam-6656	249	14	(	(	PUNCT
ejpam-6656	249	15	m2	m2	PROPN
ejpam-6656	249	16	)	)	PUNCT
ejpam-6656	249	17	th	th	NOUN
ejpam-6656	249	18	term	term	NOUN
ejpam-6656	249	19	from	from	ADP
ejpam-6656	249	20	each	each	PRON
ejpam-6656	249	21	of	of	ADP
ejpam-6656	249	22	the	the	DET
ejpam-6656	249	23	first	first	ADJ
ejpam-6656	249	24	m	m	ADJ
ejpam-6656	249	25	2	2	NUM
ejpam-6656	249	26	sets	set	NOUN
ejpam-6656	249	27	and	and	CCONJ
ejpam-6656	249	28	the	the	DET
ejpam-6656	249	29	(	(	PUNCT
ejpam-6656	249	30	m+1	m+1	NUM
ejpam-6656	249	31	2	2	NUM
ejpam-6656	249	32	)	)	PUNCT
ejpam-6656	249	33	th	th	NOUN
ejpam-6656	249	34	from	from	ADP
ejpam-6656	249	35	each	each	PRON
ejpam-6656	249	36	of	of	ADP
ejpam-6656	249	37	the	the	DET
ejpam-6656	249	38	last	last	ADJ
ejpam-6656	249	39	m	m	PROPN
ejpam-6656	249	40	2	2	NUM
ejpam-6656	249	41	sets	set	NOUN
ejpam-6656	249	42	.	.	PUNCT
ejpam-6656	250	1	let	let	VERB
ejpam-6656	250	2	v	v	NOUN
ejpam-6656	250	3	=	=	SYM
ejpam-6656	250	4	{	{	PUNCT
ejpam-6656	250	5	xi(m	xi(m	PROPN
ejpam-6656	250	6	2	2	NUM
ejpam-6656	250	7	:	:	PUNCT
ejpam-6656	250	8	m)j	m)j	X
ejpam-6656	250	9	;	;	PUNCT
ejpam-6656	250	10	i	i	PRON
ejpam-6656	250	11	=	=	NOUN
ejpam-6656	250	12	1	1	NUM
ejpam-6656	250	13	,	,	PUNCT
ejpam-6656	250	14	2	2	NUM
ejpam-6656	250	15	,	,	PUNCT
ejpam-6656	250	16	.	.	PUNCT
ejpam-6656	250	17	.	.	PUNCT
ejpam-6656	251	1	.	.	PUNCT
ejpam-6656	252	1	,	,	PUNCT
ejpam-6656	252	2	m	m	VERB
ejpam-6656	252	3	2	2	NUM
ejpam-6656	252	4	,	,	PUNCT
ejpam-6656	252	5	j	j	PROPN
ejpam-6656	252	6	=	=	SYM
ejpam-6656	252	7	1	1	NUM
ejpam-6656	252	8	,	,	PUNCT
ejpam-6656	252	9	2	2	NUM
ejpam-6656	252	10	,	,	PUNCT
ejpam-6656	252	11	.	.	PUNCT
ejpam-6656	252	12	.	.	PUNCT
ejpam-6656	253	1	.	.	PUNCT
ejpam-6656	254	1	,	,	PUNCT
ejpam-6656	254	2	r	r	X
ejpam-6656	254	3	}	}	PUNCT
ejpam-6656	254	4	∪	∪	X
ejpam-6656	254	5	{	{	PUNCT
ejpam-6656	254	6	xi(m	xi(m	PROPN
ejpam-6656	254	7	2	2	NUM
ejpam-6656	254	8	+1	+1	NOUN
ejpam-6656	254	9	:	:	PUNCT
ejpam-6656	254	10	m)j	m)j	X
ejpam-6656	254	11	;	;	PUNCT
ejpam-6656	254	12	i	i	PRON
ejpam-6656	254	13	=	=	NOUN
ejpam-6656	254	14	m	m	VERB
ejpam-6656	254	15	2	2	NUM
ejpam-6656	254	16	+	+	NUM
ejpam-6656	254	17	1	1	NUM
ejpam-6656	254	18	,	,	PUNCT
ejpam-6656	254	19	.	.	PUNCT
ejpam-6656	254	20	.	.	PUNCT
ejpam-6656	254	21	.	.	PUNCT
ejpam-6656	255	1	,	,	PUNCT
ejpam-6656	255	2	m	m	PROPN
ejpam-6656	255	3	,	,	PUNCT
ejpam-6656	255	4	j	j	PROPN
ejpam-6656	255	5	=	=	SYM
ejpam-6656	255	6	1	1	NUM
ejpam-6656	255	7	,	,	PUNCT
ejpam-6656	255	8	2	2	NUM
ejpam-6656	255	9	,	,	PUNCT
ejpam-6656	255	10	.	.	PUNCT
ejpam-6656	255	11	.	.	PUNCT
ejpam-6656	256	1	.	.	PUNCT
ejpam-6656	257	1	,	,	PUNCT
ejpam-6656	257	2	r	r	NOUN
ejpam-6656	257	3	}	}	PUNCT
ejpam-6656	257	4	,	,	PUNCT
ejpam-6656	257	5	u.	u.	PROPN
ejpam-6656	257	6	deka	deka	PROPN
ejpam-6656	257	7	et	et	PROPN
ejpam-6656	257	8	al	al	PROPN
ejpam-6656	257	9	.	.	PUNCT
ejpam-6656	257	10	/	/	SYM
ejpam-6656	257	11	eur	eur	PROPN
ejpam-6656	257	12	.	.	PUNCT
ejpam-6656	258	1	j.	j.	PROPN
ejpam-6656	258	2	pure	pure	PROPN
ejpam-6656	258	3	appl	appl	PROPN
ejpam-6656	258	4	.	.	PROPN
ejpam-6656	258	5	math	math	PROPN
ejpam-6656	258	6	,	,	PUNCT
ejpam-6656	258	7	18	18	NUM
ejpam-6656	258	8	(	(	PUNCT
ejpam-6656	258	9	4	4	NUM
ejpam-6656	258	10	)	)	PUNCT
ejpam-6656	258	11	(	(	PUNCT
ejpam-6656	258	12	2025	2025	NUM
ejpam-6656	258	13	)	)	PUNCT
ejpam-6656	258	14	,	,	PUNCT
ejpam-6656	258	15	6656	6656	NUM
ejpam-6656	258	16	9	9	NUM
ejpam-6656	258	17	of	of	ADP
ejpam-6656	258	18	18	18	NUM
ejpam-6656	258	19	and	and	CCONJ
ejpam-6656	258	20	gm	gm	PROPN
ejpam-6656	258	21	2	2	NUM
ejpam-6656	258	22	(	(	PUNCT
ejpam-6656	258	23	vij	vij	NOUN
ejpam-6656	258	24	;	;	PUNCT
ejpam-6656	258	25	θ	θ	PROPN
ejpam-6656	258	26	,	,	PUNCT
ejpam-6656	258	27	β	β	NOUN
ejpam-6656	258	28	)	)	PUNCT
ejpam-6656	258	29	=	=	PUNCT
ejpam-6656	258	30	m	m	PROPN
ejpam-6656	258	31	!	!	PUNCT
ejpam-6656	259	1	(	(	PUNCT
ejpam-6656	259	2	m2	m2	PROPN
ejpam-6656	259	3	−	−	PROPN
ejpam-6656	259	4	1	1	NUM
ejpam-6656	259	5	)	)	PUNCT
ejpam-6656	259	6	!	!	PUNCT
ejpam-6656	260	1	(	(	PUNCT
ejpam-6656	260	2	m2	m2	PROPN
ejpam-6656	260	3	+	+	PROPN
ejpam-6656	260	4	1−	1−	NUM
ejpam-6656	260	5	1	1	NUM
ejpam-6656	260	6	)	)	PUNCT
ejpam-6656	260	7	!	!	PUNCT
ejpam-6656	261	1	f(vij	f(vij	ADJ
ejpam-6656	261	2	;	;	PUNCT
ejpam-6656	261	3	θ	θ	NOUN
ejpam-6656	261	4	,	,	PUNCT
ejpam-6656	261	5	β	β	NOUN
ejpam-6656	261	6	)	)	PUNCT
ejpam-6656	262	1	[	[	PUNCT
ejpam-6656	262	2	f	f	X
ejpam-6656	262	3	(	(	PUNCT
ejpam-6656	262	4	vij	vij	PROPN
ejpam-6656	262	5	;	;	PUNCT
ejpam-6656	262	6	θ	θ	PROPN
ejpam-6656	262	7	,	,	PUNCT
ejpam-6656	262	8	β	β	NOUN
ejpam-6656	262	9	)	)	PUNCT
ejpam-6656	262	10	]	]	PUNCT
ejpam-6656	262	11	m	m	VERB
ejpam-6656	262	12	2	2	NUM
ejpam-6656	262	13	−1	−1	NOUN
ejpam-6656	262	14	[	[	PUNCT
ejpam-6656	262	15	1−	1−	NUM
ejpam-6656	262	16	f	f	X
ejpam-6656	262	17	(	(	PUNCT
ejpam-6656	262	18	vij	vij	PROPN
ejpam-6656	262	19	;	;	PUNCT
ejpam-6656	262	20	θ	θ	PROPN
ejpam-6656	262	21	,	,	PUNCT
ejpam-6656	262	22	β	β	NOUN
ejpam-6656	262	23	)	)	PUNCT
ejpam-6656	262	24	]	]	X
ejpam-6656	262	25	m	m	VERB
ejpam-6656	262	26	2	2	NUM
ejpam-6656	262	27	,	,	PUNCT
ejpam-6656	262	28	(	(	PUNCT
ejpam-6656	262	29	23	23	NUM
ejpam-6656	262	30	)	)	PUNCT
ejpam-6656	262	31	gm	gm	PROPN
ejpam-6656	262	32	2	2	NUM
ejpam-6656	262	33	+1(vij	+1(vij	X
ejpam-6656	262	34	;	;	PUNCT
ejpam-6656	262	35	θ	θ	X
ejpam-6656	262	36	,	,	PUNCT
ejpam-6656	262	37	β	β	NOUN
ejpam-6656	262	38	)	)	PUNCT
ejpam-6656	262	39	=	=	PUNCT
ejpam-6656	262	40	m	m	PROPN
ejpam-6656	262	41	!	!	PUNCT
ejpam-6656	262	42	(	(	PUNCT
ejpam-6656	262	43	m2	m2	PROPN
ejpam-6656	262	44	+	+	PROPN
ejpam-6656	262	45	1−	1−	NUM
ejpam-6656	262	46	1	1	NUM
ejpam-6656	262	47	)	)	PUNCT
ejpam-6656	262	48	!	!	PUNCT
ejpam-6656	263	1	(	(	PUNCT
ejpam-6656	263	2	m2	m2	PROPN
ejpam-6656	263	3	−	−	PROPN
ejpam-6656	263	4	1	1	NUM
ejpam-6656	263	5	)	)	PUNCT
ejpam-6656	263	6	!	!	PUNCT
ejpam-6656	264	1	f(vij	f(vij	ADJ
ejpam-6656	264	2	;	;	PUNCT
ejpam-6656	264	3	θ	θ	NOUN
ejpam-6656	264	4	,	,	PUNCT
ejpam-6656	264	5	β	β	NOUN
ejpam-6656	264	6	)	)	PUNCT
ejpam-6656	265	1	[	[	PUNCT
ejpam-6656	265	2	f	f	X
ejpam-6656	265	3	(	(	PUNCT
ejpam-6656	265	4	vij	vij	PROPN
ejpam-6656	265	5	;	;	PUNCT
ejpam-6656	265	6	θ	θ	PROPN
ejpam-6656	265	7	,	,	PUNCT
ejpam-6656	265	8	β	β	NOUN
ejpam-6656	265	9	)	)	PUNCT
ejpam-6656	265	10	]	]	X
ejpam-6656	265	11	m	m	VERB
ejpam-6656	265	12	2	2	NUM
ejpam-6656	265	13	[	[	PUNCT
ejpam-6656	265	14	1−	1−	NUM
ejpam-6656	265	15	f	f	NOUN
ejpam-6656	265	16	(	(	PUNCT
ejpam-6656	265	17	vij	vij	PROPN
ejpam-6656	265	18	;	;	PUNCT
ejpam-6656	265	19	θ	θ	PROPN
ejpam-6656	265	20	,	,	PUNCT
ejpam-6656	265	21	β	β	NOUN
ejpam-6656	265	22	)	)	PUNCT
ejpam-6656	265	23	]	]	PUNCT
ejpam-6656	265	24	m	m	VERB
ejpam-6656	265	25	2	2	NUM
ejpam-6656	265	26	−1	−1	NOUN
ejpam-6656	265	27	.	.	PUNCT
ejpam-6656	266	1	(	(	PUNCT
ejpam-6656	266	2	24	24	NUM
ejpam-6656	266	3	)	)	PUNCT
ejpam-6656	266	4	then	then	ADV
ejpam-6656	266	5	,	,	PUNCT
ejpam-6656	266	6	lmrss(θ	lmrss(θ	PROPN
ejpam-6656	266	7	,	,	PUNCT
ejpam-6656	266	8	β	β	X
ejpam-6656	266	9	,	,	PUNCT
ejpam-6656	266	10	v	v	NOUN
ejpam-6656	266	11	)	)	PUNCT
ejpam-6656	266	12	=	=	SYM
ejpam-6656	267	1	r∏	r∏	NOUN
ejpam-6656	268	1	j=1	j=1	NOUN
ejpam-6656	268	2	m	m	VERB
ejpam-6656	269	1	2∏	2∏	NUM
ejpam-6656	269	2	i=1	i=1	NUM
ejpam-6656	270	1	gm	gm	PROPN
ejpam-6656	270	2	2	2	NUM
ejpam-6656	270	3	(	(	PUNCT
ejpam-6656	270	4	vij	vij	NOUN
ejpam-6656	270	5	;	;	PUNCT
ejpam-6656	270	6	θ	θ	PROPN
ejpam-6656	270	7	,	,	PUNCT
ejpam-6656	270	8	β	β	NOUN
ejpam-6656	270	9	)	)	PUNCT
ejpam-6656	270	10	r∏	r∏	NOUN
ejpam-6656	270	11	j=1	j=1	PUNCT
ejpam-6656	270	12	m∏	m∏	PROPN
ejpam-6656	270	13	i=1+m	i=1+m	VERB
ejpam-6656	270	14	2	2	NUM
ejpam-6656	270	15	gm	gm	NOUN
ejpam-6656	270	16	2	2	NUM
ejpam-6656	270	17	+1(vij	+1(vij	ADJ
ejpam-6656	270	18	;	;	PUNCT
ejpam-6656	270	19	θ	θ	X
ejpam-6656	270	20	,	,	PUNCT
ejpam-6656	270	21	β	β	NOUN
ejpam-6656	270	22	)	)	PUNCT
ejpam-6656	270	23	=	=	PUNCT
ejpam-6656	271	1	[	[	PUNCT
ejpam-6656	271	2	m	m	NOUN
ejpam-6656	271	3	!	!	PUNCT
ejpam-6656	271	4	(	(	PUNCT
ejpam-6656	271	5	m2	m2	PROPN
ejpam-6656	271	6	)	)	PUNCT
ejpam-6656	271	7	!	!	PUNCT
ejpam-6656	272	1	(	(	PUNCT
ejpam-6656	272	2	m	m	NOUN
ejpam-6656	272	3	2	2	NUM
ejpam-6656	272	4	−	−	NOUN
ejpam-6656	272	5	1	1	NUM
ejpam-6656	272	6	)	)	PUNCT
ejpam-6656	272	7	!	!	PUNCT
ejpam-6656	273	1	]	]	X
ejpam-6656	273	2	2mr	2mr	ADJ
ejpam-6656	273	3	βmr	βmr	ADJ
ejpam-6656	273	4	θmr	θmr	NOUN
ejpam-6656	274	1	r∏	r∏	NOUN
ejpam-6656	275	1	j=1	j=1	PUNCT
ejpam-6656	275	2	m∏	m∏	PROPN
ejpam-6656	275	3	i=1	i=1	VERB
ejpam-6656	275	4	v	v	NOUN
ejpam-6656	275	5	−(β+1	−(β+1	NOUN
ejpam-6656	275	6	)	)	PUNCT
ejpam-6656	275	7	ij	ij	NOUN
ejpam-6656	275	8	(	(	PUNCT
ejpam-6656	275	9	e−v−β	e−v−β	NOUN
ejpam-6656	275	10	ij	ij	INTJ
ejpam-6656	275	11	)	)	PUNCT
ejpam-6656	276	1	θ	θ	NOUN
ejpam-6656	276	2	×	×	NOUN
ejpam-6656	277	1	r∏	r∏	NOUN
ejpam-6656	278	1	j=1	j=1	NOUN
ejpam-6656	278	2	m	m	VERB
ejpam-6656	278	3	2∏	2∏	NUM
ejpam-6656	278	4	i=1	i=1	X
ejpam-6656	279	1	[	[	X
ejpam-6656	279	2	(	(	PUNCT
ejpam-6656	279	3	e−v−β	e−v−β	INTJ
ejpam-6656	279	4	ij	ij	NOUN
ejpam-6656	279	5	)	)	PUNCT
ejpam-6656	279	6	θ]m	θ]m	ADV
ejpam-6656	279	7	2	2	NUM
ejpam-6656	279	8	−1	−1	NOUN
ejpam-6656	279	9	[	[	PUNCT
ejpam-6656	279	10	1−	1−	NUM
ejpam-6656	279	11	(	(	PUNCT
ejpam-6656	279	12	e−v−β	e−v−β	NOUN
ejpam-6656	279	13	ij	ij	NOUN
ejpam-6656	279	14	)	)	PUNCT
ejpam-6656	279	15	θ]m	θ]m	ADV
ejpam-6656	279	16	2	2	NUM
ejpam-6656	279	17	×	×	NOUN
ejpam-6656	279	18	r∏	r∏	NOUN
ejpam-6656	279	19	j=1	j=1	PUNCT
ejpam-6656	280	1	m∏	m∏	PROPN
ejpam-6656	280	2	i	i	PRON
ejpam-6656	280	3	=	=	NOUN
ejpam-6656	280	4	m	m	VERB
ejpam-6656	280	5	2	2	NUM
ejpam-6656	280	6	+1	+1	NOUN
ejpam-6656	281	1	[	[	X
ejpam-6656	281	2	(	(	PUNCT
ejpam-6656	281	3	e−v−β	e−v−β	INTJ
ejpam-6656	281	4	ij	ij	NOUN
ejpam-6656	281	5	)	)	PUNCT
ejpam-6656	281	6	θ]m	θ]m	ADV
ejpam-6656	281	7	2	2	NUM
ejpam-6656	281	8	[	[	PUNCT
ejpam-6656	281	9	1−	1−	NUM
ejpam-6656	281	10	(	(	PUNCT
ejpam-6656	281	11	e−v−β	e−v−β	NOUN
ejpam-6656	281	12	ij	ij	NOUN
ejpam-6656	281	13	)	)	PUNCT
ejpam-6656	281	14	θ]m	θ]m	ADV
ejpam-6656	281	15	2	2	NUM
ejpam-6656	281	16	−1	−1	NOUN
ejpam-6656	281	17	.	.	PUNCT
ejpam-6656	282	1	(	(	PUNCT
ejpam-6656	282	2	25	25	NUM
ejpam-6656	282	3	)	)	PUNCT
ejpam-6656	282	4	the	the	DET
ejpam-6656	282	5	likelihood	likelihood	NOUN
ejpam-6656	282	6	functions	function	NOUN
ejpam-6656	282	7	(	(	PUNCT
ejpam-6656	282	8	22	22	NUM
ejpam-6656	282	9	)	)	PUNCT
ejpam-6656	282	10	and	and	CCONJ
ejpam-6656	282	11	(	(	PUNCT
ejpam-6656	282	12	25	25	NUM
ejpam-6656	282	13	)	)	PUNCT
ejpam-6656	282	14	are	be	AUX
ejpam-6656	282	15	used	use	VERB
ejpam-6656	282	16	to	to	PART
ejpam-6656	282	17	numerically	numerically	ADV
ejpam-6656	282	18	generate	generate	VERB
ejpam-6656	282	19	the	the	DET
ejpam-6656	282	20	ml	ml	NOUN
ejpam-6656	282	21	estimates	estimate	NOUN
ejpam-6656	282	22	θ̂	θ̂	NUM
ejpam-6656	282	23	and	and	CCONJ
ejpam-6656	282	24	β̂.	β̂.	NOUN
ejpam-6656	282	25	3	3	X
ejpam-6656	282	26	.	.	PUNCT
ejpam-6656	282	27	simulation	simulation	NOUN
ejpam-6656	282	28	results	result	VERB
ejpam-6656	282	29	this	this	DET
ejpam-6656	282	30	study	study	NOUN
ejpam-6656	282	31	carries	carry	VERB
ejpam-6656	282	32	out	out	ADP
ejpam-6656	282	33	a	a	DET
ejpam-6656	282	34	simulation	simulation	NOUN
ejpam-6656	282	35	analysis	analysis	NOUN
ejpam-6656	282	36	to	to	PART
ejpam-6656	282	37	evaluate	evaluate	VERB
ejpam-6656	282	38	the	the	DET
ejpam-6656	282	39	performance	performance	NOUN
ejpam-6656	282	40	of	of	ADP
ejpam-6656	282	41	the	the	DET
ejpam-6656	282	42	maximum	maximum	ADJ
ejpam-6656	282	43	likelihood	likelihood	NOUN
ejpam-6656	282	44	estimators	estimator	NOUN
ejpam-6656	282	45	for	for	ADP
ejpam-6656	282	46	the	the	DET
ejpam-6656	282	47	parameters	parameter	NOUN
ejpam-6656	282	48	β	β	X
ejpam-6656	282	49	and	and	CCONJ
ejpam-6656	282	50	θ	θ	PROPN
ejpam-6656	282	51	of	of	ADP
ejpam-6656	282	52	the	the	DET
ejpam-6656	282	53	eiwd	eiwd	PROPN
ejpam-6656	282	54	using	use	VERB
ejpam-6656	282	55	data	datum	NOUN
ejpam-6656	282	56	collected	collect	VERB
ejpam-6656	282	57	through	through	ADP
ejpam-6656	282	58	simple	simple	ADJ
ejpam-6656	282	59	random	random	ADJ
ejpam-6656	282	60	sampling	sampling	NOUN
ejpam-6656	282	61	,	,	PUNCT
ejpam-6656	282	62	ranked	rank	VERB
ejpam-6656	282	63	set	set	ADJ
ejpam-6656	282	64	sampling	sampling	NOUN
ejpam-6656	282	65	,	,	PUNCT
ejpam-6656	282	66	extreme	extreme	ADJ
ejpam-6656	282	67	ranked	rank	VERB
ejpam-6656	282	68	set	set	ADJ
ejpam-6656	282	69	sampling	sampling	NOUN
ejpam-6656	282	70	,	,	PUNCT
ejpam-6656	282	71	and	and	CCONJ
ejpam-6656	282	72	median	median	NOUN
ejpam-6656	282	73	ranked	rank	VERB
ejpam-6656	282	74	set	set	ADJ
ejpam-6656	282	75	sampling	sampling	NOUN
ejpam-6656	282	76	methods	method	NOUN
ejpam-6656	282	77	.	.	PUNCT
ejpam-6656	283	1	the	the	DET
ejpam-6656	283	2	simulation	simulation	NOUN
ejpam-6656	283	3	study	study	NOUN
ejpam-6656	283	4	is	be	AUX
ejpam-6656	283	5	conducted	conduct	VERB
ejpam-6656	283	6	by	by	ADP
ejpam-6656	283	7	following	follow	VERB
ejpam-6656	283	8	these	these	DET
ejpam-6656	283	9	steps	step	NOUN
ejpam-6656	283	10	:	:	PUNCT
ejpam-6656	283	11	i.	i.	PROPN
ejpam-6656	283	12	assume	assume	PROPN
ejpam-6656	283	13	,	,	PUNCT
ejpam-6656	283	14	the	the	DET
ejpam-6656	283	15	marginal	marginal	ADJ
ejpam-6656	283	16	distribution	distribution	NOUN
ejpam-6656	283	17	is	be	AUX
ejpam-6656	283	18	given	give	VERB
ejpam-6656	283	19	by	by	ADP
ejpam-6656	283	20	fx(x	fx(x	ADJ
ejpam-6656	283	21	)	)	PUNCT
ejpam-6656	283	22	=	=	SYM
ejpam-6656	284	1	u0	u0	ADJ
ejpam-6656	284	2	,	,	PUNCT
ejpam-6656	284	3	then	then	ADV
ejpam-6656	284	4	simulate	simulate	VERB
ejpam-6656	284	5	from	from	ADP
ejpam-6656	284	6	u(0	u(0	PROPN
ejpam-6656	284	7	,	,	PUNCT
ejpam-6656	284	8	1	1	NUM
ejpam-6656	284	9	)	)	PUNCT
ejpam-6656	284	10	,	,	PUNCT
ejpam-6656	284	11	and	and	CCONJ
ejpam-6656	284	12	by	by	ADP
ejpam-6656	284	13	the	the	DET
ejpam-6656	284	14	inversion	inversion	NOUN
ejpam-6656	284	15	formula	formula	NOUN
ejpam-6656	284	16	we	we	PRON
ejpam-6656	284	17	obtain	obtain	VERB
ejpam-6656	284	18	a	a	DET
ejpam-6656	284	19	realization	realization	NOUN
ejpam-6656	284	20	of	of	ADP
ejpam-6656	284	21	x	x	PRON
ejpam-6656	284	22	as	as	ADP
ejpam-6656	284	23	x0	x0	PROPN
ejpam-6656	284	24	=	=	PRON
ejpam-6656	284	25	[	[	PUNCT
ejpam-6656	284	26	−1	−1	NOUN
ejpam-6656	284	27	θ1	θ1	PROPN
ejpam-6656	284	28	log(1−	log(1−	VERB
ejpam-6656	284	29	u0	u0	PROPN
ejpam-6656	284	30	)	)	PUNCT
ejpam-6656	284	31	]	]	PUNCT
ejpam-6656	284	32	−1	−1	NOUN
ejpam-6656	284	33	/	/	SYM
ejpam-6656	284	34	β1	β1	PROPN
ejpam-6656	284	35	.	.	PUNCT
ejpam-6656	285	1	ii	ii	PROPN
ejpam-6656	285	2	.	.	PUNCT
ejpam-6656	286	1	we	we	PRON
ejpam-6656	286	2	use	use	VERB
ejpam-6656	286	3	the	the	DET
ejpam-6656	286	4	r	r	NOUN
ejpam-6656	286	5	software	software	NOUN
ejpam-6656	286	6	to	to	PART
ejpam-6656	286	7	draw	draw	VERB
ejpam-6656	286	8	srs	srs	PROPN
ejpam-6656	286	9	samples	sample	NOUN
ejpam-6656	286	10	.	.	PUNCT
ejpam-6656	287	1	then	then	ADV
ejpam-6656	287	2	,	,	PUNCT
ejpam-6656	287	3	use	use	VERB
ejpam-6656	287	4	the	the	DET
ejpam-6656	287	5	rss	rss	NOUN
ejpam-6656	287	6	sampling	sample	VERB
ejpam-6656	287	7	package	package	NOUN
ejpam-6656	287	8	in	in	ADP
ejpam-6656	287	9	r	r	NOUN
ejpam-6656	287	10	to	to	PART
ejpam-6656	287	11	draw	draw	VERB
ejpam-6656	287	12	rss	rss	NOUN
ejpam-6656	287	13	,	,	PUNCT
ejpam-6656	287	14	erss	erss	ADJ
ejpam-6656	287	15	,	,	PUNCT
ejpam-6656	287	16	and	and	CCONJ
ejpam-6656	287	17	mrss	mrss	NOUN
ejpam-6656	287	18	samples	sample	NOUN
ejpam-6656	287	19	of	of	ADP
ejpam-6656	287	20	the	the	DET
ejpam-6656	287	21	same	same	ADJ
ejpam-6656	287	22	size	size	NOUN
ejpam-6656	287	23	.	.	PUNCT
ejpam-6656	288	1	u.	u.	PROPN
ejpam-6656	288	2	deka	deka	PROPN
ejpam-6656	288	3	et	et	PROPN
ejpam-6656	288	4	al	al	PROPN
ejpam-6656	288	5	.	.	PUNCT
ejpam-6656	288	6	/	/	SYM
ejpam-6656	288	7	eur	eur	PROPN
ejpam-6656	288	8	.	.	PUNCT
ejpam-6656	289	1	j.	j.	PROPN
ejpam-6656	289	2	pure	pure	PROPN
ejpam-6656	289	3	appl	appl	PROPN
ejpam-6656	289	4	.	.	PROPN
ejpam-6656	289	5	math	math	PROPN
ejpam-6656	289	6	,	,	PUNCT
ejpam-6656	289	7	18	18	NUM
ejpam-6656	289	8	(	(	PUNCT
ejpam-6656	289	9	4	4	NUM
ejpam-6656	289	10	)	)	PUNCT
ejpam-6656	289	11	(	(	PUNCT
ejpam-6656	289	12	2025	2025	NUM
ejpam-6656	289	13	)	)	PUNCT
ejpam-6656	289	14	,	,	PUNCT
ejpam-6656	289	15	6656	6656	NUM
ejpam-6656	289	16	10	10	NUM
ejpam-6656	289	17	of	of	ADP
ejpam-6656	289	18	18	18	NUM
ejpam-6656	289	19	iii	iii	NOUN
ejpam-6656	289	20	.	.	PUNCT
ejpam-6656	290	1	the	the	DET
ejpam-6656	290	2	analysis	analysis	NOUN
ejpam-6656	290	3	is	be	AUX
ejpam-6656	290	4	carried	carry	VERB
ejpam-6656	290	5	out	out	ADP
ejpam-6656	290	6	using	use	VERB
ejpam-6656	290	7	a	a	DET
ejpam-6656	290	8	monte	monte	PROPN
ejpam-6656	290	9	carlo	carlo	NOUN
ejpam-6656	290	10	approach	approach	NOUN
ejpam-6656	290	11	with	with	ADP
ejpam-6656	290	12	10,000	10,000	NUM
ejpam-6656	290	13	iterations	iteration	NOUN
ejpam-6656	290	14	,	,	PUNCT
ejpam-6656	290	15	conducted	conduct	VERB
ejpam-6656	290	16	for	for	ADP
ejpam-6656	290	17	n	n	NOUN
ejpam-6656	290	18	=	=	SYM
ejpam-6656	290	19	12	12	NUM
ejpam-6656	290	20	,	,	PUNCT
ejpam-6656	290	21	15	15	NUM
ejpam-6656	290	22	,	,	PUNCT
ejpam-6656	290	23	20	20	NUM
ejpam-6656	290	24	,	,	PUNCT
ejpam-6656	290	25	40	40	NUM
ejpam-6656	290	26	,	,	PUNCT
ejpam-6656	290	27	60	60	NUM
ejpam-6656	290	28	,	,	PUNCT
ejpam-6656	290	29	100	100	NUM
ejpam-6656	290	30	which	which	PRON
ejpam-6656	290	31	represent	represent	VERB
ejpam-6656	290	32	small	small	ADJ
ejpam-6656	290	33	,	,	PUNCT
ejpam-6656	290	34	moderate	moderate	ADJ
ejpam-6656	290	35	or	or	CCONJ
ejpam-6656	290	36	large	large	ADJ
ejpam-6656	290	37	samples	sample	NOUN
ejpam-6656	290	38	typically	typically	ADV
ejpam-6656	290	39	encountered	encounter	VERB
ejpam-6656	290	40	in	in	ADP
ejpam-6656	290	41	lifetime	lifetime	NOUN
ejpam-6656	290	42	or	or	CCONJ
ejpam-6656	290	43	reliability	reliability	NOUN
ejpam-6656	290	44	data	datum	NOUN
ejpam-6656	290	45	considering	consider	VERB
ejpam-6656	290	46	various	various	ADJ
ejpam-6656	290	47	set	set	ADJ
ejpam-6656	290	48	sizes	size	NOUN
ejpam-6656	290	49	,	,	PUNCT
ejpam-6656	290	50	cycle	cycle	NOUN
ejpam-6656	290	51	numbers	number	NOUN
ejpam-6656	290	52	and	and	CCONJ
ejpam-6656	290	53	parameter	parameter	NOUN
ejpam-6656	290	54	values	value	NOUN
ejpam-6656	290	55	θ	θ	X
ejpam-6656	290	56	=	=	PUNCT
ejpam-6656	290	57	0.3	0.3	NUM
ejpam-6656	290	58	,	,	PUNCT
ejpam-6656	290	59	0.64	0.64	NUM
ejpam-6656	290	60	and	and	CCONJ
ejpam-6656	290	61	β	β	X
ejpam-6656	290	62	=	=	SYM
ejpam-6656	290	63	1.4	1.4	NUM
ejpam-6656	290	64	,	,	PUNCT
ejpam-6656	290	65	2.57.these	2.57.these	ADJ
ejpam-6656	290	66	parameter	parameter	NOUN
ejpam-6656	290	67	values	value	NOUN
ejpam-6656	290	68	are	be	AUX
ejpam-6656	290	69	chosen	choose	VERB
ejpam-6656	290	70	to	to	PART
ejpam-6656	290	71	ensure	ensure	VERB
ejpam-6656	290	72	broad	broad	ADJ
ejpam-6656	290	73	applicability	applicability	NOUN
ejpam-6656	290	74	of	of	ADP
ejpam-6656	290	75	the	the	DET
ejpam-6656	290	76	findings	finding	NOUN
ejpam-6656	290	77	.	.	PUNCT
ejpam-6656	291	1	iv	iv	X
ejpam-6656	291	2	.	.	PUNCT
ejpam-6656	292	1	the	the	DET
ejpam-6656	292	2	resulting	result	VERB
ejpam-6656	292	3	estimators	estimator	NOUN
ejpam-6656	292	4	are	be	AUX
ejpam-6656	292	5	compared	compare	VERB
ejpam-6656	292	6	based	base	VERB
ejpam-6656	292	7	on	on	ADP
ejpam-6656	292	8	bias	bias	NOUN
ejpam-6656	292	9	,	,	PUNCT
ejpam-6656	292	10	mean	mean	VERB
ejpam-6656	293	1	squared	square	VERB
ejpam-6656	293	2	error	error	NOUN
ejpam-6656	293	3	(	(	PUNCT
ejpam-6656	293	4	mse	mse	NOUN
ejpam-6656	293	5	)	)	PUNCT
ejpam-6656	293	6	,	,	PUNCT
ejpam-6656	293	7	and	and	CCONJ
ejpam-6656	293	8	relative	relative	ADJ
ejpam-6656	293	9	efficiency	efficiency	NOUN
ejpam-6656	293	10	(	(	PUNCT
ejpam-6656	293	11	re	re	NOUN
ejpam-6656	293	12	)	)	PUNCT
ejpam-6656	293	13	,	,	PUNCT
ejpam-6656	293	14	as	as	SCONJ
ejpam-6656	293	15	defined	define	VERB
ejpam-6656	293	16	below	below	ADV
ejpam-6656	293	17	:	:	PUNCT
ejpam-6656	293	18	bias(θ̂i	bias(θ̂i	PROPN
ejpam-6656	293	19	,	,	PUNCT
ejpam-6656	293	20	θ	θ	NOUN
ejpam-6656	293	21	)	)	PUNCT
ejpam-6656	293	22	=	=	SYM
ejpam-6656	293	23	1	1	NUM
ejpam-6656	293	24	n	n	NUM
ejpam-6656	293	25	n∑	n∑	NOUN
ejpam-6656	293	26	i=1	i=1	PROPN
ejpam-6656	293	27	(	(	PUNCT
ejpam-6656	293	28	θ̂i	θ̂i	PROPN
ejpam-6656	293	29	−	−	NUM
ejpam-6656	293	30	θ	θ	PROPN
ejpam-6656	293	31	)	)	PUNCT
ejpam-6656	293	32	,	,	PUNCT
ejpam-6656	293	33	mse(θ̂i	mse(θ̂i	PROPN
ejpam-6656	293	34	,	,	PUNCT
ejpam-6656	293	35	θ	θ	NOUN
ejpam-6656	293	36	)	)	PUNCT
ejpam-6656	293	37	=	=	SYM
ejpam-6656	293	38	1	1	NUM
ejpam-6656	293	39	n	n	NUM
ejpam-6656	293	40	n∑	n∑	NOUN
ejpam-6656	293	41	i=1	i=1	PROPN
ejpam-6656	293	42	(	(	PUNCT
ejpam-6656	293	43	θ̂i	θ̂i	PROPN
ejpam-6656	293	44	−	−	NUM
ejpam-6656	293	45	θ	θ	PROPN
ejpam-6656	293	46	)	)	PUNCT
ejpam-6656	293	47	2	2	NUM
ejpam-6656	293	48	,	,	PUNCT
ejpam-6656	293	49	re(θ̂(1	re(θ̂(1	NOUN
ejpam-6656	293	50	)	)	PUNCT
ejpam-6656	293	51	)	)	PUNCT
ejpam-6656	294	1	=	=	PUNCT
ejpam-6656	294	2	mse(θ̂	mse(θ̂	PROPN
ejpam-6656	294	3	)	)	PUNCT
ejpam-6656	294	4	mse(θ̂(1	mse(θ̂(1	NOUN
ejpam-6656	294	5	)	)	PUNCT
ejpam-6656	294	6	)	)	PUNCT
ejpam-6656	294	7	.	.	PUNCT
ejpam-6656	295	1	where	where	SCONJ
ejpam-6656	295	2	,	,	PUNCT
ejpam-6656	295	3	θ̂i	θ̂i	PART
ejpam-6656	295	4	denotes	denote	NOUN
ejpam-6656	295	5	the	the	DET
ejpam-6656	295	6	estimated	estimate	VERB
ejpam-6656	295	7	parameter	parameter	NOUN
ejpam-6656	295	8	for	for	ADP
ejpam-6656	295	9	the	the	DET
ejpam-6656	295	10	ith	ith	PROPN
ejpam-6656	295	11	repetition	repetition	NOUN
ejpam-6656	295	12	,	,	PUNCT
ejpam-6656	295	13	θ	θ	PROPN
ejpam-6656	295	14	represents	represent	VERB
ejpam-6656	295	15	the	the	DET
ejpam-6656	295	16	true	true	ADJ
ejpam-6656	295	17	population	population	NOUN
ejpam-6656	295	18	parameter	parameter	NOUN
ejpam-6656	295	19	,	,	PUNCT
ejpam-6656	295	20	n	n	PROPN
ejpam-6656	295	21	=	=	SYM
ejpam-6656	295	22	10000	10000	NUM
ejpam-6656	295	23	;	;	PUNCT
ejpam-6656	295	24	θ̂	θ̂	PROPN
ejpam-6656	295	25	=	=	SYM
ejpam-6656	295	26	θ̂srs	θ̂sr	NOUN
ejpam-6656	295	27	and	and	CCONJ
ejpam-6656	295	28	θ̂(1	θ̂(1	NUM
ejpam-6656	295	29	)	)	PUNCT
ejpam-6656	295	30	is	be	AUX
ejpam-6656	295	31	the	the	DET
ejpam-6656	295	32	estimate	estimate	NOUN
ejpam-6656	295	33	obtained	obtain	VERB
ejpam-6656	295	34	with	with	ADP
ejpam-6656	295	35	a	a	DET
ejpam-6656	295	36	varied	varied	ADJ
ejpam-6656	295	37	sampling	sampling	NOUN
ejpam-6656	295	38	method	method	NOUN
ejpam-6656	295	39	.	.	PUNCT
ejpam-6656	296	1	the	the	DET
ejpam-6656	296	2	accompanying	accompany	VERB
ejpam-6656	296	3	tables	table	NOUN
ejpam-6656	296	4	1	1	NUM
ejpam-6656	296	5	and	and	CCONJ
ejpam-6656	296	6	2	2	NUM
ejpam-6656	296	7	present	present	VERB
ejpam-6656	296	8	the	the	DET
ejpam-6656	296	9	findings	finding	NOUN
ejpam-6656	296	10	.	.	PUNCT
ejpam-6656	297	1	the	the	DET
ejpam-6656	297	2	findings	finding	NOUN
ejpam-6656	297	3	show	show	VERB
ejpam-6656	297	4	that	that	SCONJ
ejpam-6656	297	5	erss	erss	ADV
ejpam-6656	297	6	-	-	PUNCT
ejpam-6656	297	7	based	base	VERB
ejpam-6656	297	8	estimations	estimation	NOUN
ejpam-6656	297	9	of	of	ADP
ejpam-6656	297	10	θ	θ	PROPN
ejpam-6656	297	11	and	and	CCONJ
ejpam-6656	297	12	β	β	X
ejpam-6656	297	13	are	be	AUX
ejpam-6656	297	14	more	more	ADV
ejpam-6656	297	15	efficient	efficient	ADJ
ejpam-6656	297	16	and	and	CCONJ
ejpam-6656	297	17	show	show	VERB
ejpam-6656	297	18	fewer	few	ADJ
ejpam-6656	297	19	biases	bias	NOUN
ejpam-6656	297	20	than	than	ADP
ejpam-6656	297	21	those	those	PRON
ejpam-6656	297	22	derived	derive	VERB
ejpam-6656	297	23	from	from	ADP
ejpam-6656	297	24	different	different	ADJ
ejpam-6656	297	25	sampling	sampling	NOUN
ejpam-6656	297	26	methods	method	NOUN
ejpam-6656	297	27	.	.	PUNCT
ejpam-6656	298	1	the	the	DET
ejpam-6656	298	2	biases	bias	NOUN
ejpam-6656	298	3	and	and	CCONJ
ejpam-6656	298	4	mses	ms	NOUN
ejpam-6656	298	5	in	in	ADP
ejpam-6656	298	6	these	these	PRON
ejpam-6656	298	7	sampling	sample	VERB
ejpam-6656	298	8	techniques	technique	NOUN
ejpam-6656	298	9	diminish	diminish	VERB
ejpam-6656	298	10	as	as	SCONJ
ejpam-6656	298	11	set	set	VERB
ejpam-6656	298	12	sizes	size	NOUN
ejpam-6656	298	13	increase	increase	VERB
ejpam-6656	298	14	,	,	PUNCT
ejpam-6656	298	15	while	while	SCONJ
ejpam-6656	298	16	res	re	NOUN
ejpam-6656	298	17	based	base	VERB
ejpam-6656	298	18	on	on	ADP
ejpam-6656	298	19	these	these	DET
ejpam-6656	298	20	methods	method	NOUN
ejpam-6656	298	21	improve	improve	VERB
ejpam-6656	298	22	with	with	ADP
ejpam-6656	298	23	larger	large	ADJ
ejpam-6656	298	24	sizes	size	NOUN
ejpam-6656	298	25	of	of	ADP
ejpam-6656	298	26	set	set	NOUN
ejpam-6656	298	27	.	.	PUNCT
ejpam-6656	299	1	figures	figure	NOUN
ejpam-6656	299	2	2	2	NUM
ejpam-6656	299	3	5	5	NUM
ejpam-6656	299	4	show	show	VERB
ejpam-6656	299	5	the	the	DET
ejpam-6656	299	6	mses	ms	NOUN
ejpam-6656	299	7	and	and	CCONJ
ejpam-6656	299	8	efficiency	efficiency	NOUN
ejpam-6656	299	9	of	of	ADP
ejpam-6656	299	10	several	several	ADJ
ejpam-6656	299	11	sampling	sampling	NOUN
ejpam-6656	299	12	techniques	technique	NOUN
ejpam-6656	299	13	graphically	graphically	ADV
ejpam-6656	299	14	for	for	ADP
ejpam-6656	299	15	θ	θ	PROPN
ejpam-6656	299	16	=	=	SYM
ejpam-6656	299	17	0.3	0.3	NUM
ejpam-6656	299	18	and	and	CCONJ
ejpam-6656	299	19	β	β	X
ejpam-6656	299	20	=	=	SYM
ejpam-6656	299	21	1.4	1.4	NUM
ejpam-6656	299	22	.	.	PUNCT
ejpam-6656	300	1	figures	figure	NOUN
ejpam-6656	300	2	2	2	NUM
ejpam-6656	300	3	and	and	CCONJ
ejpam-6656	300	4	3	3	NUM
ejpam-6656	300	5	indicate	indicate	VERB
ejpam-6656	300	6	that	that	SCONJ
ejpam-6656	300	7	mse	mse	NOUN
ejpam-6656	300	8	values	value	NOUN
ejpam-6656	300	9	decrease	decrease	VERB
ejpam-6656	300	10	as	as	ADP
ejpam-6656	300	11	sample	sample	NOUN
ejpam-6656	300	12	size	size	NOUN
ejpam-6656	300	13	n	n	NOUN
ejpam-6656	300	14	increases	increase	NOUN
ejpam-6656	300	15	.	.	PUNCT
ejpam-6656	301	1	the	the	DET
ejpam-6656	301	2	srs	srs	PROPN
ejpam-6656	301	3	consistently	consistently	ADV
ejpam-6656	301	4	shows	show	VERB
ejpam-6656	301	5	the	the	DET
ejpam-6656	301	6	highest	high	ADJ
ejpam-6656	301	7	mse	mse	NOUN
ejpam-6656	301	8	for	for	ADP
ejpam-6656	301	9	both	both	DET
ejpam-6656	301	10	parameters	parameter	NOUN
ejpam-6656	301	11	β	β	X
ejpam-6656	301	12	and	and	CCONJ
ejpam-6656	301	13	θ	θ	PROPN
ejpam-6656	301	14	,	,	PUNCT
ejpam-6656	301	15	meaning	mean	VERB
ejpam-6656	301	16	it	it	PRON
ejpam-6656	301	17	is	be	AUX
ejpam-6656	301	18	the	the	DET
ejpam-6656	301	19	least	least	ADV
ejpam-6656	301	20	efficient	efficient	ADJ
ejpam-6656	301	21	.	.	PUNCT
ejpam-6656	302	1	rss	rss	NOUN
ejpam-6656	302	2	reduces	reduce	VERB
ejpam-6656	302	3	mse	mse	NOUN
ejpam-6656	302	4	significantly	significantly	ADV
ejpam-6656	302	5	compared	compare	VERB
ejpam-6656	302	6	to	to	ADP
ejpam-6656	302	7	srs	srs	PROPN
ejpam-6656	302	8	.	.	PROPN
ejpam-6656	302	9	erss	erss	PROPN
ejpam-6656	302	10	almost	almost	ADV
ejpam-6656	302	11	has	have	VERB
ejpam-6656	302	12	the	the	DET
ejpam-6656	302	13	lowest	low	ADJ
ejpam-6656	302	14	mse	mse	NOUN
ejpam-6656	302	15	indicating	indicate	VERB
ejpam-6656	302	16	that	that	SCONJ
ejpam-6656	302	17	it	it	PRON
ejpam-6656	302	18	gives	give	VERB
ejpam-6656	302	19	the	the	DET
ejpam-6656	302	20	most	most	ADV
ejpam-6656	302	21	precise	precise	ADJ
ejpam-6656	302	22	estimates	estimate	NOUN
ejpam-6656	302	23	of	of	ADP
ejpam-6656	302	24	β	β	PROPN
ejpam-6656	302	25	and	and	CCONJ
ejpam-6656	302	26	θ	θ	PROPN
ejpam-6656	302	27	.	.	PROPN
ejpam-6656	302	28	mrss	mrss	NOUN
ejpam-6656	302	29	performs	perform	VERB
ejpam-6656	302	30	better	well	ADV
ejpam-6656	302	31	than	than	ADP
ejpam-6656	302	32	srs	srs	PROPN
ejpam-6656	302	33	but	but	CCONJ
ejpam-6656	302	34	not	not	PART
ejpam-6656	302	35	usually	usually	ADV
ejpam-6656	302	36	as	as	ADV
ejpam-6656	302	37	well	well	ADV
ejpam-6656	302	38	as	as	ADP
ejpam-6656	302	39	erss	erss	ADJ
ejpam-6656	302	40	,	,	PUNCT
ejpam-6656	302	41	sometimes	sometimes	ADV
ejpam-6656	302	42	between	between	ADP
ejpam-6656	302	43	rss	rss	NOUN
ejpam-6656	302	44	and	and	CCONJ
ejpam-6656	302	45	erss	erss	ADV
ejpam-6656	302	46	.	.	PUNCT
ejpam-6656	303	1	figures	figure	NOUN
ejpam-6656	303	2	4	4	NUM
ejpam-6656	303	3	and	and	CCONJ
ejpam-6656	303	4	5	5	NUM
ejpam-6656	303	5	indicate	indicate	VERB
ejpam-6656	303	6	the	the	DET
ejpam-6656	303	7	relative	relative	ADJ
ejpam-6656	303	8	efficiency	efficiency	NOUN
ejpam-6656	303	9	compared	compare	VERB
ejpam-6656	303	10	each	each	DET
ejpam-6656	303	11	method	method	NOUN
ejpam-6656	303	12	to	to	ADP
ejpam-6656	303	13	srs	srs	PROPN
ejpam-6656	303	14	.	.	PUNCT
ejpam-6656	304	1	it	it	PRON
ejpam-6656	304	2	is	be	AUX
ejpam-6656	304	3	seen	see	VERB
ejpam-6656	304	4	that	that	SCONJ
ejpam-6656	304	5	erss	erss	ADV
ejpam-6656	304	6	has	have	VERB
ejpam-6656	304	7	the	the	DET
ejpam-6656	304	8	highest	high	ADJ
ejpam-6656	304	9	relative	relative	ADJ
ejpam-6656	304	10	efficiency	efficiency	NOUN
ejpam-6656	304	11	especially	especially	ADV
ejpam-6656	304	12	at	at	ADP
ejpam-6656	304	13	moderate	moderate	ADJ
ejpam-6656	304	14	sample	sample	NOUN
ejpam-6656	304	15	sizes	size	NOUN
ejpam-6656	304	16	.	.	PUNCT
ejpam-6656	305	1	rss	rss	PROPN
ejpam-6656	305	2	has	have	VERB
ejpam-6656	305	3	moderate	moderate	ADJ
ejpam-6656	305	4	efficiency	efficiency	NOUN
ejpam-6656	305	5	gains	gain	NOUN
ejpam-6656	305	6	while	while	SCONJ
ejpam-6656	305	7	mrss	mrss	PROPN
ejpam-6656	305	8	shows	show	VERB
ejpam-6656	305	9	improvements	improvement	NOUN
ejpam-6656	305	10	but	but	CCONJ
ejpam-6656	305	11	not	not	PART
ejpam-6656	305	12	as	as	ADV
ejpam-6656	305	13	consistently	consistently	ADV
ejpam-6656	305	14	strong	strong	ADJ
ejpam-6656	305	15	as	as	ADP
ejpam-6656	305	16	erss	erss	ADV
ejpam-6656	305	17	and	and	CCONJ
ejpam-6656	305	18	sometimes	sometimes	ADV
ejpam-6656	305	19	close	close	ADJ
ejpam-6656	305	20	to	to	AUX
ejpam-6656	305	21	rss	rss	VERB
ejpam-6656	305	22	.	.	PUNCT
ejpam-6656	306	1	u.	u.	PROPN
ejpam-6656	306	2	deka	deka	PROPN
ejpam-6656	306	3	et	et	PROPN
ejpam-6656	306	4	al	al	PROPN
ejpam-6656	306	5	.	.	PUNCT
ejpam-6656	306	6	/	/	SYM
ejpam-6656	306	7	eur	eur	PROPN
ejpam-6656	306	8	.	.	PUNCT
ejpam-6656	307	1	j.	j.	PROPN
ejpam-6656	307	2	pure	pure	PROPN
ejpam-6656	307	3	appl	appl	PROPN
ejpam-6656	307	4	.	.	PROPN
ejpam-6656	307	5	math	math	PROPN
ejpam-6656	307	6	,	,	PUNCT
ejpam-6656	307	7	18	18	NUM
ejpam-6656	307	8	(	(	PUNCT
ejpam-6656	307	9	4	4	NUM
ejpam-6656	307	10	)	)	PUNCT
ejpam-6656	307	11	(	(	PUNCT
ejpam-6656	307	12	2025	2025	NUM
ejpam-6656	307	13	)	)	PUNCT
ejpam-6656	307	14	,	,	PUNCT
ejpam-6656	307	15	6656	6656	NUM
ejpam-6656	307	16	11	11	NUM
ejpam-6656	307	17	of	of	ADP
ejpam-6656	307	18	18	18	NUM
ejpam-6656	307	19	table	table	NOUN
ejpam-6656	307	20	1	1	NUM
ejpam-6656	307	21	:	:	PUNCT
ejpam-6656	307	22	table	table	NOUN
ejpam-6656	307	23	of	of	ADP
ejpam-6656	307	24	estimator	estimator	NOUN
ejpam-6656	307	25	characteristics	characteristics	PROPN
ejpam-6656	307	26	(	(	PUNCT
ejpam-6656	307	27	bias	bias	NOUN
ejpam-6656	307	28	,	,	PUNCT
ejpam-6656	307	29	mse	mse	NOUN
ejpam-6656	307	30	,	,	PUNCT
ejpam-6656	307	31	efficiency	efficiency	NOUN
ejpam-6656	307	32	)	)	PUNCT
ejpam-6656	307	33	for	for	ADP
ejpam-6656	307	34	θ	θ	PROPN
ejpam-6656	307	35	=	=	SYM
ejpam-6656	307	36	0.3	0.3	NUM
ejpam-6656	307	37	,	,	PUNCT
ejpam-6656	307	38	β	β	X
ejpam-6656	307	39	=	=	SYM
ejpam-6656	307	40	1.4	1.4	NUM
ejpam-6656	307	41	.	.	PUNCT
ejpam-6656	308	1	n	n	PROPN
ejpam-6656	308	2	m	m	PROPN
ejpam-6656	308	3	;	;	PUNCT
ejpam-6656	309	1	r	r	NOUN
ejpam-6656	309	2	sampling	sample	VERB
ejpam-6656	309	3	θ	θ	PROPN
ejpam-6656	309	4	=	=	PUNCT
ejpam-6656	309	5	0.3	0.3	NUM
ejpam-6656	309	6	β	β	X
ejpam-6656	309	7	=	=	PUNCT
ejpam-6656	309	8	1.4	1.4	NUM
ejpam-6656	309	9	bias(θ̂	bias(θ̂	NUM
ejpam-6656	309	10	)	)	PUNCT
ejpam-6656	309	11	mse(θ̂	mse(θ̂	PROPN
ejpam-6656	309	12	)	)	PUNCT
ejpam-6656	309	13	eff	eff	PROPN
ejpam-6656	309	14	bias(β̂	bias(β̂	NOUN
ejpam-6656	309	15	)	)	PUNCT
ejpam-6656	309	16	mse(β̂	mse(β̂	PROPN
ejpam-6656	309	17	)	)	PUNCT
ejpam-6656	309	18	eff	eff	PROPN
ejpam-6656	309	19	12	12	NUM
ejpam-6656	309	20	4;3	4;3	PROPN
ejpam-6656	309	21	srs	srs	PROPN
ejpam-6656	309	22	0.16850	0.16850	NUM
ejpam-6656	309	23	0.02839	0.02839	NUM
ejpam-6656	309	24	–	–	PUNCT
ejpam-6656	309	25	0.22126	0.22126	NUM
ejpam-6656	309	26	0.04896	0.04896	NUM
ejpam-6656	309	27	–	–	PUNCT
ejpam-6656	309	28	rss	rss	VERB
ejpam-6656	309	29	0.11542	0.11542	NUM
ejpam-6656	309	30	0.01700	0.01700	NUM
ejpam-6656	309	31	1.66990	1.66990	NUM
ejpam-6656	309	32	0.18687	0.18687	NUM
ejpam-6656	309	33	0.03492	0.03492	NUM
ejpam-6656	309	34	1.40209	1.40209	NUM
ejpam-6656	309	35	erss	erss	ADV
ejpam-6656	309	36	0.01213	0.01213	NUM
ejpam-6656	309	37	0.01263	0.01263	NUM
ejpam-6656	309	38	2.24836	2.24836	NUM
ejpam-6656	309	39	0.11542	0.11542	NUM
ejpam-6656	309	40	0.01332	0.01332	NUM
ejpam-6656	309	41	3.67497	3.67497	NUM
ejpam-6656	309	42	mrss	mrss	ADP
ejpam-6656	309	43	0.08474	0.08474	NUM
ejpam-6656	309	44	0.00718	0.00718	NUM
ejpam-6656	310	1	3.95376	3.95376	NUM
ejpam-6656	310	2	0.17745	0.17745	NUM
ejpam-6656	310	3	0.03149	0.03149	NUM
ejpam-6656	310	4	1.55477	1.55477	NUM
ejpam-6656	310	5	15	15	NUM
ejpam-6656	310	6	5;3	5;3	NOUN
ejpam-6656	310	7	srs	srs	PROPN
ejpam-6656	310	8	0.05798	0.05798	NUM
ejpam-6656	310	9	0.00336	0.00336	NUM
ejpam-6656	310	10	–	–	PUNCT
ejpam-6656	310	11	0.19297	0.19297	NUM
ejpam-6656	310	12	0.03724	0.03724	NUM
ejpam-6656	310	13	–	–	PUNCT
ejpam-6656	310	14	rss	rss	VERB
ejpam-6656	310	15	0.04002	0.04002	NUM
ejpam-6656	310	16	0.00160	0.00160	NUM
ejpam-6656	310	17	2.09994	2.09994	NUM
ejpam-6656	310	18	0.14933	0.14933	NUM
ejpam-6656	310	19	0.02230	0.02230	NUM
ejpam-6656	310	20	1.66990	1.66990	NUM
ejpam-6656	310	21	erss	erss	NOUN
ejpam-6656	310	22	0.00984	0.00984	NUM
ejpam-6656	311	1	0.00096	0.00096	NUM
ejpam-6656	311	2	3.49480	3.49480	NUM
ejpam-6656	311	3	0.02239	0.02239	NUM
ejpam-6656	311	4	0.00841	0.00841	NUM
ejpam-6656	311	5	4.42937	4.42937	NUM
ejpam-6656	311	6	mrss	mrss	NOUN
ejpam-6656	311	7	0.04626	0.04626	NUM
ejpam-6656	311	8	0.00214	0.00214	NUM
ejpam-6656	312	1	1.57068	1.57068	NUM
ejpam-6656	312	2	0.14788	0.14788	NUM
ejpam-6656	312	3	0.02187	0.02187	NUM
ejpam-6656	312	4	1.70263	1.70263	NUM
ejpam-6656	312	5	20	20	NUM
ejpam-6656	312	6	5;4	5;4	NUM
ejpam-6656	312	7	srs	srs	PROPN
ejpam-6656	312	8	0.02473	0.02473	NUM
ejpam-6656	312	9	0.00061	0.00061	NUM
ejpam-6656	312	10	–	–	PUNCT
ejpam-6656	312	11	0.09940	0.09940	NUM
ejpam-6656	312	12	0.00988	0.00988	NUM
ejpam-6656	312	13	–	–	PUNCT
ejpam-6656	312	14	rss	rss	VERB
ejpam-6656	312	15	0.01569	0.01569	NUM
ejpam-6656	312	16	0.00025	0.00025	NUM
ejpam-6656	313	1	2.48374	2.48374	NUM
ejpam-6656	313	2	0.06591	0.06591	NUM
ejpam-6656	313	3	0.00434	0.00434	NUM
ejpam-6656	313	4	2.27405	2.27405	NUM
ejpam-6656	313	5	erss	erss	ADV
ejpam-6656	313	6	0.00322	0.00322	NUM
ejpam-6656	313	7	0.00011	0.00011	NUM
ejpam-6656	313	8	5.55455	5.55455	NUM
ejpam-6656	313	9	0.04707	0.04707	NUM
ejpam-6656	313	10	0.00222	0.00222	NUM
ejpam-6656	313	11	4.45689	4.45689	NUM
ejpam-6656	313	12	mrss	mrss	NOUN
ejpam-6656	313	13	0.01738	0.01738	NUM
ejpam-6656	313	14	0.00030	0.00030	NUM
ejpam-6656	313	15	2.01654	2.01654	NUM
ejpam-6656	313	16	0.07505	0.07505	NUM
ejpam-6656	313	17	0.00563	0.00563	NUM
ejpam-6656	313	18	1.75388	1.75388	NUM
ejpam-6656	313	19	40	40	NUM
ejpam-6656	313	20	10;4	10;4	NUM
ejpam-6656	313	21	srs	srs	PROPN
ejpam-6656	313	22	0.01173	0.01173	NUM
ejpam-6656	313	23	0.00138	0.00138	NUM
ejpam-6656	313	24	–	–	PUNCT
ejpam-6656	313	25	0.01471	0.01471	NUM
ejpam-6656	313	26	0.00687	0.00687	NUM
ejpam-6656	313	27	–	–	PUNCT
ejpam-6656	313	28	rss	rss	NOUN
ejpam-6656	313	29	0.02496	0.02496	NUM
ejpam-6656	313	30	0.00062	0.00062	NUM
ejpam-6656	313	31	2.20690	2.20690	NUM
ejpam-6656	313	32	0.04872	0.04872	NUM
ejpam-6656	313	33	0.00237	0.00237	NUM
ejpam-6656	313	34	2.89341	2.89341	NUM
ejpam-6656	313	35	erss	erss	ADJ
ejpam-6656	313	36	0.02468	0.02468	NUM
ejpam-6656	313	37	0.00061	0.00061	NUM
ejpam-6656	313	38	4.24832	4.24832	NUM
ejpam-6656	313	39	0.03329	0.03329	NUM
ejpam-6656	313	40	0.00111	0.00111	PROPN
ejpam-6656	313	41	6.19820	6.19820	NUM
ejpam-6656	313	42	mrss	mrss	CCONJ
ejpam-6656	313	43	0.02685	0.02685	NUM
ejpam-6656	313	44	0.00072	0.00072	NUM
ejpam-6656	313	45	1.90674	1.90674	NUM
ejpam-6656	313	46	0.06046	0.06046	NUM
ejpam-6656	313	47	0.00366	0.00366	NUM
ejpam-6656	313	48	1.87923	1.87923	NUM
ejpam-6656	313	49	60	60	NUM
ejpam-6656	313	50	10;6	10;6	NUM
ejpam-6656	313	51	srs	srs	PROPN
ejpam-6656	313	52	0.02450	0.02450	NUM
ejpam-6656	313	53	0.00060	0.00060	NUM
ejpam-6656	313	54	–	–	PUNCT
ejpam-6656	313	55	0.11368	0.11368	NUM
ejpam-6656	313	56	0.00492	0.00492	NUM
ejpam-6656	313	57	–	–	PUNCT
ejpam-6656	313	58	rss	rss	VERB
ejpam-6656	313	59	0.02114	0.02114	NUM
ejpam-6656	313	60	0.00024	0.00024	NUM
ejpam-6656	313	61	2.54529	2.54529	NUM
ejpam-6656	313	62	0.03987	0.03987	NUM
ejpam-6656	313	63	0.00159	0.00159	NUM
ejpam-6656	313	64	3.09533	3.09533	NUM
ejpam-6656	313	65	erss	erss	ADV
ejpam-6656	313	66	0.00996	0.00996	NUM
ejpam-6656	313	67	0.00023	0.00023	NUM
ejpam-6656	313	68	5.06061	5.06061	NUM
ejpam-6656	313	69	0.03454	0.03454	NUM
ejpam-6656	313	70	0.00119	0.00119	NUM
ejpam-6656	313	71	7.12612	7.12612	NUM
ejpam-6656	313	72	mrss	mrss	NOUN
ejpam-6656	313	73	0.01955	0.01955	NUM
ejpam-6656	313	74	0.00030	0.00030	NUM
ejpam-6656	313	75	2.00107	2.00107	NUM
ejpam-6656	313	76	0.03626	0.03626	NUM
ejpam-6656	313	77	0.00132	0.00132	NUM
ejpam-6656	313	78	3.74363	3.74363	NUM
ejpam-6656	313	79	100	100	NUM
ejpam-6656	313	80	10;10	10;10	NUM
ejpam-6656	313	81	srs	srs	PROPN
ejpam-6656	313	82	0.00802	0.00802	NUM
ejpam-6656	313	83	0.00006	0.00006	NUM
ejpam-6656	313	84	–	–	PUNCT
ejpam-6656	313	85	0.08289	0.08289	NUM
ejpam-6656	313	86	0.00687	0.00687	NUM
ejpam-6656	313	87	–	–	PUNCT
ejpam-6656	313	88	rss	rss	VERB
ejpam-6656	313	89	0.00546	0.00546	NUM
ejpam-6656	313	90	0.00002	0.00002	NUM
ejpam-6656	313	91	4.01652	4.01652	NUM
ejpam-6656	313	92	0.00927	0.00927	NUM
ejpam-6656	313	93	0.00146	0.00146	NUM
ejpam-6656	313	94	4.70652	4.70652	NUM
ejpam-6656	313	95	erss	erss	NOUN
ejpam-6656	314	1	0.00239	0.00239	NUM
ejpam-6656	315	1	0.00007	0.00007	NUM
ejpam-6656	315	2	9.31428	9.31428	NUM
ejpam-6656	315	3	0.02742	0.02742	NUM
ejpam-6656	315	4	0.00075	0.00075	NUM
ejpam-6656	315	5	9.12791	9.12791	NUM
ejpam-6656	315	6	mrss	mrss	NOUN
ejpam-6656	315	7	0.00292	0.00292	NUM
ejpam-6656	315	8	0.00001	0.00001	NUM
ejpam-6656	315	9	4.93186	4.93186	NUM
ejpam-6656	315	10	0.03978	0.03978	NUM
ejpam-6656	315	11	0.00158	0.00158	NUM
ejpam-6656	315	12	4.33702	4.33702	NUM
ejpam-6656	315	13	figure	figure	NOUN
ejpam-6656	315	14	2	2	NUM
ejpam-6656	315	15	:	:	PUNCT
ejpam-6656	315	16	the	the	DET
ejpam-6656	315	17	mse	mse	NOUN
ejpam-6656	315	18	of	of	ADP
ejpam-6656	315	19	θ	θ	PROPN
ejpam-6656	315	20	under	under	ADP
ejpam-6656	315	21	different	different	ADJ
ejpam-6656	315	22	sampling	sampling	NOUN
ejpam-6656	315	23	methods	method	NOUN
ejpam-6656	315	24	.	.	PUNCT
ejpam-6656	316	1	u.	u.	PROPN
ejpam-6656	316	2	deka	deka	PROPN
ejpam-6656	316	3	et	et	PROPN
ejpam-6656	316	4	al	al	PROPN
ejpam-6656	316	5	.	.	PUNCT
ejpam-6656	316	6	/	/	SYM
ejpam-6656	316	7	eur	eur	PROPN
ejpam-6656	316	8	.	.	PUNCT
ejpam-6656	317	1	j.	j.	PROPN
ejpam-6656	317	2	pure	pure	PROPN
ejpam-6656	317	3	appl	appl	PROPN
ejpam-6656	317	4	.	.	PROPN
ejpam-6656	317	5	math	math	PROPN
ejpam-6656	317	6	,	,	PUNCT
ejpam-6656	317	7	18	18	NUM
ejpam-6656	317	8	(	(	PUNCT
ejpam-6656	317	9	4	4	NUM
ejpam-6656	317	10	)	)	PUNCT
ejpam-6656	317	11	(	(	PUNCT
ejpam-6656	317	12	2025	2025	NUM
ejpam-6656	317	13	)	)	PUNCT
ejpam-6656	317	14	,	,	PUNCT
ejpam-6656	317	15	6656	6656	NUM
ejpam-6656	317	16	12	12	NUM
ejpam-6656	317	17	of	of	ADP
ejpam-6656	317	18	18	18	NUM
ejpam-6656	317	19	table	table	NOUN
ejpam-6656	317	20	2	2	NUM
ejpam-6656	317	21	:	:	PUNCT
ejpam-6656	317	22	table	table	NOUN
ejpam-6656	317	23	of	of	ADP
ejpam-6656	317	24	estimator	estimator	NOUN
ejpam-6656	317	25	characteristics	characteristics	PROPN
ejpam-6656	317	26	(	(	PUNCT
ejpam-6656	317	27	bias	bias	NOUN
ejpam-6656	317	28	,	,	PUNCT
ejpam-6656	317	29	mse	mse	NOUN
ejpam-6656	317	30	,	,	PUNCT
ejpam-6656	317	31	efficiency	efficiency	NOUN
ejpam-6656	317	32	)	)	PUNCT
ejpam-6656	317	33	for	for	ADP
ejpam-6656	317	34	θ	θ	PROPN
ejpam-6656	317	35	=	=	SYM
ejpam-6656	317	36	0.64	0.64	NUM
ejpam-6656	317	37	and	and	CCONJ
ejpam-6656	317	38	β	β	X
ejpam-6656	317	39	=	=	SYM
ejpam-6656	317	40	2.57	2.57	NUM
ejpam-6656	317	41	.	.	PUNCT
ejpam-6656	318	1	n	n	PRON
ejpam-6656	318	2	m	m	PROPN
ejpam-6656	318	3	;	;	PUNCT
ejpam-6656	319	1	r	r	NOUN
ejpam-6656	319	2	sampling	sample	VERB
ejpam-6656	319	3	θ	θ	PROPN
ejpam-6656	319	4	=	=	PUNCT
ejpam-6656	319	5	0.64	0.64	NUM
ejpam-6656	319	6	β	β	X
ejpam-6656	319	7	=	=	NOUN
ejpam-6656	319	8	2.57	2.57	NUM
ejpam-6656	319	9	bias(θ̂	bias(θ̂	NUM
ejpam-6656	319	10	)	)	PUNCT
ejpam-6656	319	11	mse(θ̂	mse(θ̂	PROPN
ejpam-6656	319	12	)	)	PUNCT
ejpam-6656	319	13	eff	eff	PROPN
ejpam-6656	319	14	bias(β̂	bias(β̂	NOUN
ejpam-6656	319	15	)	)	PUNCT
ejpam-6656	319	16	mse(β̂	mse(β̂	PROPN
ejpam-6656	319	17	)	)	PUNCT
ejpam-6656	319	18	eff	eff	PROPN
ejpam-6656	319	19	12	12	NUM
ejpam-6656	319	20	4;3	4;3	PROPN
ejpam-6656	319	21	srs	srs	PROPN
ejpam-6656	319	22	0.09905	0.09905	NUM
ejpam-6656	319	23	0.00981	0.00981	NUM
ejpam-6656	319	24	–	–	PUNCT
ejpam-6656	319	25	0.16899	0.16899	NUM
ejpam-6656	319	26	0.02856	0.02856	NUM
ejpam-6656	319	27	–	–	PUNCT
ejpam-6656	319	28	rss	rss	VERB
ejpam-6656	319	29	0.09894	0.09894	NUM
ejpam-6656	319	30	0.00979	0.00979	NUM
ejpam-6656	319	31	1.00215	1.00215	NUM
ejpam-6656	319	32	0.14235	0.14235	NUM
ejpam-6656	319	33	0.02026	0.02026	NUM
ejpam-6656	319	34	1.40937	1.40937	NUM
ejpam-6656	319	35	erss	erss	NOUN
ejpam-6656	319	36	0.04162	0.04162	NUM
ejpam-6656	319	37	0.00181	0.00181	NUM
ejpam-6656	320	1	5.66339	5.66339	NUM
ejpam-6656	320	2	0.09339	0.09339	NUM
ejpam-6656	320	3	0.00872	0.00872	NUM
ejpam-6656	320	4	3.27122	3.27122	NUM
ejpam-6656	320	5	mrss	mrss	NOUN
ejpam-6656	320	6	0.05404	0.05404	NUM
ejpam-6656	320	7	0.00292	0.00292	NUM
ejpam-6656	320	8	3.35924	3.35924	NUM
ejpam-6656	320	9	0.12026	0.12026	NUM
ejpam-6656	320	10	0.01446	0.01446	NUM
ejpam-6656	320	11	1.97483	1.97483	NUM
ejpam-6656	320	12	15	15	NUM
ejpam-6656	320	13	5;3	5;3	NOUN
ejpam-6656	320	14	srs	srs	PROPN
ejpam-6656	320	15	0.02099	0.02099	NUM
ejpam-6656	320	16	0.00044	0.00044	NUM
ejpam-6656	320	17	–	–	PUNCT
ejpam-6656	320	18	0.15772	0.15772	NUM
ejpam-6656	320	19	0.02487	0.02487	NUM
ejpam-6656	320	20	–	–	PUNCT
ejpam-6656	320	21	rss	rss	VERB
ejpam-6656	320	22	0.01977	0.01977	NUM
ejpam-6656	320	23	0.00039	0.00039	NUM
ejpam-6656	320	24	1.12532	1.12532	NUM
ejpam-6656	320	25	0.10438	0.10438	NUM
ejpam-6656	320	26	0.01187	0.01187	NUM
ejpam-6656	320	27	1.58346	1.58346	NUM
ejpam-6656	320	28	erss	erss	NOUN
ejpam-6656	320	29	0.00845	0.00845	NUM
ejpam-6656	321	1	0.00007	0.00007	NUM
ejpam-6656	321	2	6.19718	6.19718	NUM
ejpam-6656	321	3	0.08148	0.08148	NUM
ejpam-6656	321	4	0.00664	0.00664	NUM
ejpam-6656	321	5	3.74695	3.74695	NUM
ejpam-6656	321	6	mrss	mrss	NOUN
ejpam-6656	321	7	0.01065	0.01065	NUM
ejpam-6656	321	8	0.00011	0.00011	NUM
ejpam-6656	322	1	3.89381	3.89381	NUM
ejpam-6656	322	2	0.13345	0.13345	NUM
ejpam-6656	322	3	0.03332	0.03332	NUM
ejpam-6656	322	4	2.14348	2.14348	NUM
ejpam-6656	322	5	20	20	NUM
ejpam-6656	322	6	5;4	5;4	NUM
ejpam-6656	322	7	srs	srs	PROPN
ejpam-6656	322	8	0.02671	0.02671	NUM
ejpam-6656	322	9	0.00071	0.00071	NUM
ejpam-6656	322	10	–	–	PUNCT
ejpam-6656	322	11	0.12548	0.12548	NUM
ejpam-6656	322	12	0.01575	0.01575	NUM
ejpam-6656	322	13	–	–	PUNCT
ejpam-6656	322	14	rss	rss	NOUN
ejpam-6656	322	15	0.02487	0.02487	NUM
ejpam-6656	322	16	0.00062	0.00062	NUM
ejpam-6656	322	17	1.15372	1.15372	NUM
ejpam-6656	322	18	0.09588	0.09588	NUM
ejpam-6656	322	19	0.03123	0.03123	NUM
ejpam-6656	322	20	1.98364	1.98364	NUM
ejpam-6656	322	21	erss	erss	ADV
ejpam-6656	322	22	0.01067	0.01067	NUM
ejpam-6656	322	23	0.00011	0.00011	NUM
ejpam-6656	322	24	6.25438	6.25438	NUM
ejpam-6656	322	25	0.00666	0.00666	NUM
ejpam-6656	322	26	0.00653	0.00653	NUM
ejpam-6656	322	27	4.14572	4.14572	NUM
ejpam-6656	322	28	mrss	mrss	NOUN
ejpam-6656	322	29	0.01513	0.01513	NUM
ejpam-6656	322	30	0.00286	0.00286	NUM
ejpam-6656	322	31	4.01560	4.01560	NUM
ejpam-6656	322	32	0.01672	0.01672	NUM
ejpam-6656	322	33	0.04124	0.04124	NUM
ejpam-6656	322	34	2.61899	2.61899	NUM
ejpam-6656	322	35	40	40	NUM
ejpam-6656	322	36	10;4	10;4	NUM
ejpam-6656	322	37	srs	srs	PROPN
ejpam-6656	322	38	0.01916	0.01916	NUM
ejpam-6656	322	39	0.00010	0.00010	NUM
ejpam-6656	322	40	–	–	PUNCT
ejpam-6656	322	41	0.08253	0.08253	NUM
ejpam-6656	322	42	0.00106	0.00106	NUM
ejpam-6656	322	43	–	–	PUNCT
ejpam-6656	322	44	rss	rss	VERB
ejpam-6656	322	45	0.00888	0.00888	NUM
ejpam-6656	322	46	0.00008	0.00008	NUM
ejpam-6656	322	47	1.32051	1.32051	NUM
ejpam-6656	322	48	0.01867	0.01867	NUM
ejpam-6656	322	49	0.00216	0.00216	NUM
ejpam-6656	322	50	2.04023	2.04023	NUM
ejpam-6656	322	51	erss	erss	NOUN
ejpam-6656	322	52	0.00191	0.00191	NUM
ejpam-6656	323	1	0.00001	0.00001	NUM
ejpam-6656	323	2	7.02564	7.02564	NUM
ejpam-6656	323	3	0.00042	0.00042	NUM
ejpam-6656	323	4	0.00002	0.00002	NUM
ejpam-6656	323	5	5.38432	5.38432	NUM
ejpam-6656	323	6	mrss	mrss	NOUN
ejpam-6656	323	7	0.00254	0.00254	NUM
ejpam-6656	323	8	0.00056	0.00056	NUM
ejpam-6656	323	9	5.45874	5.45874	NUM
ejpam-6656	323	10	0.00398	0.00398	NUM
ejpam-6656	323	11	0.00018	0.00018	NUM
ejpam-6656	323	12	2.78061	2.78061	NUM
ejpam-6656	323	13	60	60	NUM
ejpam-6656	323	14	10;6	10;6	NUM
ejpam-6656	323	15	srs	srs	PROPN
ejpam-6656	323	16	0.01658	0.01658	NUM
ejpam-6656	323	17	0.00027	0.00027	NUM
ejpam-6656	323	18	–	–	PUNCT
ejpam-6656	323	19	0.03523	0.03523	NUM
ejpam-6656	323	20	0.00049	0.00049	NUM
ejpam-6656	323	21	–	–	PUNCT
ejpam-6656	323	22	rss	rss	VERB
ejpam-6656	323	23	0.01304	0.01304	NUM
ejpam-6656	323	24	0.00010	0.00010	NUM
ejpam-6656	323	25	2.61176	2.61176	NUM
ejpam-6656	323	26	0.01782	0.01782	NUM
ejpam-6656	323	27	0.00126	0.00126	NUM
ejpam-6656	323	28	2.55836	2.55836	NUM
ejpam-6656	323	29	erss	erss	ADV
ejpam-6656	323	30	0.00626	0.00626	NUM
ejpam-6656	323	31	0.00004	0.00004	NUM
ejpam-6656	323	32	7.92308	7.92308	NUM
ejpam-6656	323	33	0.02223	0.02223	NUM
ejpam-6656	323	34	0.00003	0.00003	NUM
ejpam-6656	323	35	8.12963	8.12963	NUM
ejpam-6656	323	36	mrss	mrss	NOUN
ejpam-6656	323	37	0.01237	0.01237	NUM
ejpam-6656	323	38	0.00159	0.00159	NUM
ejpam-6656	323	39	5.80263	5.80263	NUM
ejpam-6656	323	40	0.01343	0.01343	NUM
ejpam-6656	323	41	0.00018	0.00018	NUM
ejpam-6656	323	42	4.74444	4.74444	NUM
ejpam-6656	323	43	100	100	NUM
ejpam-6656	323	44	10;10	10;10	NUM
ejpam-6656	323	45	srs	srs	PROPN
ejpam-6656	323	46	0.00947	0.00947	NUM
ejpam-6656	323	47	0.00009	0.00009	NUM
ejpam-6656	323	48	–	–	PUNCT
ejpam-6656	323	49	0.01375	0.01375	NUM
ejpam-6656	323	50	0.00019	0.00019	NUM
ejpam-6656	323	51	–	–	PUNCT
ejpam-6656	323	52	rss	rss	VERB
ejpam-6656	323	53	0.00414	0.00414	NUM
ejpam-6656	323	54	0.00002	0.00002	NUM
ejpam-6656	323	55	5.23529	5.23529	NUM
ejpam-6656	323	56	0.00512	0.00512	NUM
ejpam-6656	323	57	0.00090	0.00090	NUM
ejpam-6656	323	58	4.78302	4.78302	NUM
ejpam-6656	323	59	erss	erss	ADV
ejpam-6656	323	60	0.00275	0.00275	NUM
ejpam-6656	324	1	0.00007	0.00007	NUM
ejpam-6656	324	2	12.71428	12.71428	NUM
ejpam-6656	324	3	0.00407	0.00407	NUM
ejpam-6656	324	4	0.00018	0.00018	NUM
ejpam-6656	324	5	9.81250	9.81250	NUM
ejpam-6656	324	6	mrss	mrss	NOUN
ejpam-6656	324	7	0.00628	0.00628	NUM
ejpam-6656	324	8	0.00074	0.00074	NUM
ejpam-6656	324	9	8.28205	8.28205	NUM
ejpam-6656	324	10	0.00412	0.00412	NUM
ejpam-6656	324	11	0.00003	0.00003	NUM
ejpam-6656	324	12	7.26923	7.26923	NUM
ejpam-6656	324	13	figure	figure	NOUN
ejpam-6656	324	14	3	3	NUM
ejpam-6656	324	15	:	:	PUNCT
ejpam-6656	324	16	the	the	DET
ejpam-6656	324	17	mse	mse	NOUN
ejpam-6656	324	18	of	of	ADP
ejpam-6656	324	19	β	β	X
ejpam-6656	324	20	under	under	ADP
ejpam-6656	324	21	different	different	ADJ
ejpam-6656	324	22	sampling	sampling	NOUN
ejpam-6656	324	23	methods	method	NOUN
ejpam-6656	324	24	.	.	PUNCT
ejpam-6656	325	1	u.	u.	PROPN
ejpam-6656	325	2	deka	deka	PROPN
ejpam-6656	325	3	et	et	PROPN
ejpam-6656	325	4	al	al	PROPN
ejpam-6656	325	5	.	.	PUNCT
ejpam-6656	325	6	/	/	SYM
ejpam-6656	325	7	eur	eur	PROPN
ejpam-6656	325	8	.	.	PUNCT
ejpam-6656	326	1	j.	j.	PROPN
ejpam-6656	326	2	pure	pure	PROPN
ejpam-6656	326	3	appl	appl	PROPN
ejpam-6656	326	4	.	.	PROPN
ejpam-6656	326	5	math	math	PROPN
ejpam-6656	326	6	,	,	PUNCT
ejpam-6656	326	7	18	18	NUM
ejpam-6656	326	8	(	(	PUNCT
ejpam-6656	326	9	4	4	NUM
ejpam-6656	326	10	)	)	PUNCT
ejpam-6656	326	11	(	(	PUNCT
ejpam-6656	326	12	2025	2025	NUM
ejpam-6656	326	13	)	)	PUNCT
ejpam-6656	326	14	,	,	PUNCT
ejpam-6656	326	15	6656	6656	NUM
ejpam-6656	326	16	13	13	NUM
ejpam-6656	326	17	of	of	ADP
ejpam-6656	326	18	18	18	NUM
ejpam-6656	326	19	figure	figure	NOUN
ejpam-6656	326	20	4	4	NUM
ejpam-6656	326	21	:	:	PUNCT
ejpam-6656	326	22	the	the	DET
ejpam-6656	326	23	efficiency	efficiency	NOUN
ejpam-6656	326	24	of	of	ADP
ejpam-6656	326	25	θ	θ	PROPN
ejpam-6656	326	26	under	under	ADP
ejpam-6656	326	27	different	different	ADJ
ejpam-6656	326	28	sampling	sampling	NOUN
ejpam-6656	326	29	methods	method	NOUN
ejpam-6656	326	30	.	.	PUNCT
ejpam-6656	327	1	figure	figure	VERB
ejpam-6656	327	2	5	5	NUM
ejpam-6656	327	3	:	:	PUNCT
ejpam-6656	327	4	the	the	DET
ejpam-6656	327	5	efficiency	efficiency	NOUN
ejpam-6656	327	6	of	of	ADP
ejpam-6656	327	7	β	β	X
ejpam-6656	327	8	under	under	ADP
ejpam-6656	327	9	different	different	ADJ
ejpam-6656	327	10	sampling	sampling	NOUN
ejpam-6656	327	11	methods	method	NOUN
ejpam-6656	327	12	.	.	PUNCT
ejpam-6656	328	1	4	4	X
ejpam-6656	328	2	.	.	X
ejpam-6656	328	3	empirical	empirical	ADJ
ejpam-6656	328	4	data	datum	NOUN
ejpam-6656	328	5	evaluation	evaluation	NOUN
ejpam-6656	328	6	:	:	PUNCT
ejpam-6656	328	7	carbon	carbon	NOUN
ejpam-6656	328	8	fiber	fiber	NOUN
ejpam-6656	328	9	dataset	dataset	VERB
ejpam-6656	328	10	a	a	DET
ejpam-6656	328	11	real	real	ADJ
ejpam-6656	328	12	-	-	PUNCT
ejpam-6656	328	13	world	world	NOUN
ejpam-6656	328	14	data	datum	NOUN
ejpam-6656	328	15	set	set	VERB
ejpam-6656	328	16	is	be	AUX
ejpam-6656	328	17	employed	employ	VERB
ejpam-6656	328	18	to	to	PART
ejpam-6656	328	19	demonstrate	demonstrate	VERB
ejpam-6656	328	20	the	the	DET
ejpam-6656	328	21	effectiveness	effectiveness	NOUN
ejpam-6656	328	22	of	of	ADP
ejpam-6656	328	23	the	the	DET
ejpam-6656	328	24	ranked	rank	VERB
ejpam-6656	328	25	set	set	NOUN
ejpam-6656	328	26	sampling	sampling	NOUN
ejpam-6656	328	27	,	,	PUNCT
ejpam-6656	328	28	median	median	NOUN
ejpam-6656	328	29	ranked	rank	VERB
ejpam-6656	328	30	set	set	ADJ
ejpam-6656	328	31	sampling	sampling	NOUN
ejpam-6656	328	32	,	,	PUNCT
ejpam-6656	328	33	and	and	CCONJ
ejpam-6656	328	34	extreme	extreme	ADJ
ejpam-6656	328	35	ranked	rank	VERB
ejpam-6656	328	36	set	set	NOUN
ejpam-6656	328	37	sampling	sample	VERB
ejpam-6656	328	38	schemes	scheme	NOUN
ejpam-6656	328	39	in	in	ADP
ejpam-6656	328	40	reducing	reduce	VERB
ejpam-6656	328	41	the	the	DET
ejpam-6656	328	42	mean	mean	ADJ
ejpam-6656	328	43	squared	square	VERB
ejpam-6656	328	44	errors	error	NOUN
ejpam-6656	328	45	of	of	ADP
ejpam-6656	328	46	the	the	DET
ejpam-6656	328	47	estimators	estimator	NOUN
ejpam-6656	328	48	compared	compare	VERB
ejpam-6656	328	49	to	to	ADP
ejpam-6656	328	50	the	the	DET
ejpam-6656	328	51	traditional	traditional	ADJ
ejpam-6656	328	52	simple	simple	ADJ
ejpam-6656	328	53	random	random	ADJ
ejpam-6656	328	54	sampling	sampling	NOUN
ejpam-6656	328	55	method	method	NOUN
ejpam-6656	328	56	.	.	PUNCT
ejpam-6656	329	1	the	the	DET
ejpam-6656	329	2	data	datum	NOUN
ejpam-6656	329	3	set	set	VERB
ejpam-6656	329	4	,	,	PUNCT
ejpam-6656	329	5	originally	originally	ADV
ejpam-6656	329	6	reported	report	VERB
ejpam-6656	329	7	by	by	ADP
ejpam-6656	329	8	[	[	X
ejpam-6656	329	9	10	10	NUM
ejpam-6656	329	10	]	]	PUNCT
ejpam-6656	329	11	,	,	PUNCT
ejpam-6656	329	12	consists	consist	VERB
ejpam-6656	329	13	of	of	ADP
ejpam-6656	329	14	tensile	tensile	NOUN
ejpam-6656	329	15	strength	strength	NOUN
ejpam-6656	329	16	measurements	measurement	NOUN
ejpam-6656	329	17	from	from	ADP
ejpam-6656	329	18	100	100	NUM
ejpam-6656	329	19	carbon	carbon	NOUN
ejpam-6656	329	20	fiber	fiber	NOUN
ejpam-6656	329	21	samples	sample	NOUN
ejpam-6656	329	22	.	.	PUNCT
ejpam-6656	330	1	dataset	dataset	NOUN
ejpam-6656	330	2	is	be	AUX
ejpam-6656	330	3	given	give	VERB
ejpam-6656	330	4	as	as	ADP
ejpam-6656	330	5	:	:	PUNCT
ejpam-6656	330	6	3.7	3.7	NUM
ejpam-6656	330	7	,	,	PUNCT
ejpam-6656	330	8	3.11	3.11	NUM
ejpam-6656	330	9	,	,	PUNCT
ejpam-6656	330	10	4.42	4.42	NUM
ejpam-6656	330	11	,	,	PUNCT
ejpam-6656	330	12	3.28	3.28	NUM
ejpam-6656	330	13	,	,	PUNCT
ejpam-6656	330	14	3.75	3.75	NUM
ejpam-6656	330	15	,	,	PUNCT
ejpam-6656	330	16	2.96	2.96	NUM
ejpam-6656	330	17	,	,	PUNCT
ejpam-6656	330	18	3.39	3.39	NUM
ejpam-6656	330	19	,	,	PUNCT
ejpam-6656	330	20	3.31	3.31	NUM
ejpam-6656	330	21	,	,	PUNCT
ejpam-6656	330	22	3.15	3.15	NUM
ejpam-6656	330	23	,	,	PUNCT
ejpam-6656	330	24	2.81	2.81	NUM
ejpam-6656	330	25	,	,	PUNCT
ejpam-6656	330	26	1.41	1.41	NUM
ejpam-6656	330	27	,	,	PUNCT
ejpam-6656	330	28	2.76	2.76	NUM
ejpam-6656	330	29	,	,	PUNCT
ejpam-6656	330	30	3.19	3.19	NUM
ejpam-6656	330	31	,	,	PUNCT
ejpam-6656	330	32	1.59	1.59	NUM
ejpam-6656	330	33	,	,	PUNCT
ejpam-6656	330	34	2.17	2.17	NUM
ejpam-6656	330	35	,	,	PUNCT
ejpam-6656	330	36	3.51	3.51	NUM
ejpam-6656	330	37	,	,	PUNCT
ejpam-6656	330	38	1.84	1.84	NUM
ejpam-6656	330	39	,	,	PUNCT
ejpam-6656	330	40	1.61	1.61	NUM
ejpam-6656	330	41	,	,	PUNCT
ejpam-6656	330	42	1.57	1.57	NUM
ejpam-6656	330	43	,	,	PUNCT
ejpam-6656	330	44	1.89	1.89	NUM
ejpam-6656	330	45	,	,	PUNCT
ejpam-6656	330	46	2.74	2.74	NUM
ejpam-6656	330	47	,	,	PUNCT
ejpam-6656	330	48	3.27	3.27	NUM
ejpam-6656	330	49	,	,	PUNCT
ejpam-6656	330	50	2.41	2.41	NUM
ejpam-6656	330	51	,	,	PUNCT
ejpam-6656	330	52	3.09	3.09	NUM
ejpam-6656	330	53	,	,	PUNCT
ejpam-6656	330	54	2.43	2.43	NUM
ejpam-6656	330	55	,	,	PUNCT
ejpam-6656	330	56	2.53	2.53	NUM
ejpam-6656	330	57	,	,	PUNCT
ejpam-6656	330	58	2.81	2.81	NUM
ejpam-6656	330	59	,	,	PUNCT
ejpam-6656	330	60	3.31	3.31	NUM
ejpam-6656	330	61	,	,	PUNCT
ejpam-6656	330	62	2.35	2.35	NUM
ejpam-6656	330	63	,	,	PUNCT
ejpam-6656	330	64	2.77	2.77	NUM
ejpam-6656	330	65	,	,	PUNCT
ejpam-6656	330	66	2.68	2.68	NUM
ejpam-6656	330	67	,	,	PUNCT
ejpam-6656	330	68	4.91	4.91	NUM
ejpam-6656	330	69	,	,	PUNCT
ejpam-6656	330	70	1.57	1.57	NUM
ejpam-6656	330	71	,	,	PUNCT
ejpam-6656	330	72	2.00	2.00	NUM
ejpam-6656	330	73	,	,	PUNCT
ejpam-6656	330	74	1.17	1.17	NUM
ejpam-6656	330	75	,	,	PUNCT
ejpam-6656	330	76	2.17	2.17	NUM
ejpam-6656	330	77	,	,	PUNCT
ejpam-6656	330	78	0.39	0.39	NUM
ejpam-6656	330	79	,	,	PUNCT
ejpam-6656	330	80	2.79	2.79	NUM
ejpam-6656	330	81	,	,	PUNCT
ejpam-6656	330	82	1.08	1.08	NUM
ejpam-6656	330	83	,	,	PUNCT
ejpam-6656	330	84	2.88	2.88	NUM
ejpam-6656	330	85	,	,	PUNCT
ejpam-6656	330	86	2.73	2.73	NUM
ejpam-6656	330	87	,	,	PUNCT
ejpam-6656	330	88	2.87	2.87	NUM
ejpam-6656	330	89	,	,	PUNCT
ejpam-6656	330	90	3.19	3.19	NUM
ejpam-6656	330	91	,	,	PUNCT
ejpam-6656	330	92	1.87	1.87	NUM
ejpam-6656	330	93	,	,	PUNCT
ejpam-6656	330	94	2.95	2.95	NUM
ejpam-6656	330	95	,	,	PUNCT
ejpam-6656	330	96	2.67	2.67	NUM
ejpam-6656	330	97	,	,	PUNCT
ejpam-6656	330	98	4.20	4.20	NUM
ejpam-6656	330	99	,	,	PUNCT
ejpam-6656	330	100	2.85	2.85	NUM
ejpam-6656	330	101	,	,	PUNCT
ejpam-6656	330	102	2.55	2.55	NUM
ejpam-6656	330	103	,	,	PUNCT
ejpam-6656	330	104	2.17	2.17	NUM
ejpam-6656	330	105	,	,	PUNCT
ejpam-6656	330	106	2.97	2.97	NUM
ejpam-6656	330	107	,	,	PUNCT
ejpam-6656	330	108	3.68	3.68	NUM
ejpam-6656	330	109	,	,	PUNCT
ejpam-6656	330	110	0.81	0.81	NUM
ejpam-6656	330	111	,	,	PUNCT
ejpam-6656	330	112	1.22	1.22	NUM
ejpam-6656	330	113	,	,	PUNCT
ejpam-6656	330	114	5.08	5.08	NUM
ejpam-6656	330	115	,	,	PUNCT
ejpam-6656	330	116	1.69	1.69	NUM
ejpam-6656	330	117	,	,	PUNCT
ejpam-6656	330	118	3.68	3.68	NUM
ejpam-6656	330	119	,	,	PUNCT
ejpam-6656	330	120	4.70	4.70	NUM
ejpam-6656	330	121	,	,	PUNCT
ejpam-6656	330	122	2.03	2.03	NUM
ejpam-6656	330	123	,	,	PUNCT
ejpam-6656	330	124	2.82	2.82	NUM
ejpam-6656	330	125	,	,	PUNCT
ejpam-6656	330	126	2.50	2.50	NUM
ejpam-6656	330	127	,	,	PUNCT
ejpam-6656	330	128	1.47	1.47	NUM
ejpam-6656	330	129	,	,	PUNCT
ejpam-6656	330	130	3.22	3.22	NUM
ejpam-6656	330	131	,	,	PUNCT
ejpam-6656	330	132	3.15	3.15	NUM
ejpam-6656	330	133	,	,	PUNCT
ejpam-6656	330	134	2.97	2.97	NUM
ejpam-6656	330	135	,	,	PUNCT
ejpam-6656	330	136	2.93	2.93	NUM
ejpam-6656	330	137	,	,	PUNCT
ejpam-6656	330	138	3.33	3.33	NUM
ejpam-6656	330	139	,	,	PUNCT
ejpam-6656	330	140	2.56	2.56	NUM
ejpam-6656	330	141	,	,	PUNCT
ejpam-6656	330	142	u.	u.	NOUN
ejpam-6656	330	143	deka	deka	PROPN
ejpam-6656	330	144	et	et	PROPN
ejpam-6656	330	145	al	al	PROPN
ejpam-6656	330	146	.	.	PUNCT
ejpam-6656	330	147	/	/	SYM
ejpam-6656	330	148	eur	eur	PROPN
ejpam-6656	330	149	.	.	PUNCT
ejpam-6656	331	1	j.	j.	PROPN
ejpam-6656	331	2	pure	pure	PROPN
ejpam-6656	331	3	appl	appl	PROPN
ejpam-6656	331	4	.	.	PROPN
ejpam-6656	331	5	math	math	PROPN
ejpam-6656	331	6	,	,	PUNCT
ejpam-6656	331	7	18	18	NUM
ejpam-6656	331	8	(	(	PUNCT
ejpam-6656	331	9	4	4	NUM
ejpam-6656	331	10	)	)	PUNCT
ejpam-6656	331	11	(	(	PUNCT
ejpam-6656	331	12	2025	2025	NUM
ejpam-6656	331	13	)	)	PUNCT
ejpam-6656	331	14	,	,	PUNCT
ejpam-6656	331	15	6656	6656	NUM
ejpam-6656	331	16	14	14	NUM
ejpam-6656	331	17	of	of	ADP
ejpam-6656	331	18	18	18	NUM
ejpam-6656	331	19	2.59	2.59	NUM
ejpam-6656	331	20	,	,	PUNCT
ejpam-6656	331	21	2.83	2.83	NUM
ejpam-6656	331	22	,	,	PUNCT
ejpam-6656	331	23	1.36	1.36	NUM
ejpam-6656	331	24	,	,	PUNCT
ejpam-6656	331	25	1.84	1.84	NUM
ejpam-6656	331	26	,	,	PUNCT
ejpam-6656	331	27	5.56	5.56	NUM
ejpam-6656	331	28	,	,	PUNCT
ejpam-6656	331	29	1.12	1.12	NUM
ejpam-6656	331	30	,	,	PUNCT
ejpam-6656	331	31	2.48	2.48	NUM
ejpam-6656	331	32	,	,	PUNCT
ejpam-6656	331	33	1.25	1.25	NUM
ejpam-6656	331	34	,	,	PUNCT
ejpam-6656	331	35	2.48	2.48	NUM
ejpam-6656	331	36	,	,	PUNCT
ejpam-6656	331	37	2.03	2.03	NUM
ejpam-6656	331	38	,	,	PUNCT
ejpam-6656	331	39	1.61	1.61	NUM
ejpam-6656	331	40	,	,	PUNCT
ejpam-6656	331	41	2.05	2.05	NUM
ejpam-6656	331	42	,	,	PUNCT
ejpam-6656	331	43	3.60	3.60	NUM
ejpam-6656	331	44	,	,	PUNCT
ejpam-6656	331	45	3.11	3.11	NUM
ejpam-6656	331	46	,	,	PUNCT
ejpam-6656	331	47	1.69	1.69	NUM
ejpam-6656	331	48	,	,	PUNCT
ejpam-6656	331	49	4.90	4.90	NUM
ejpam-6656	331	50	,	,	PUNCT
ejpam-6656	331	51	3.39	3.39	NUM
ejpam-6656	331	52	,	,	PUNCT
ejpam-6656	331	53	3.22	3.22	NUM
ejpam-6656	331	54	,	,	PUNCT
ejpam-6656	331	55	2.55	2.55	NUM
ejpam-6656	331	56	,	,	PUNCT
ejpam-6656	331	57	3.56	3.56	NUM
ejpam-6656	331	58	,	,	PUNCT
ejpam-6656	331	59	2.38	2.38	NUM
ejpam-6656	331	60	,	,	PUNCT
ejpam-6656	331	61	1.92	1.92	NUM
ejpam-6656	331	62	,	,	PUNCT
ejpam-6656	331	63	0.98	0.98	NUM
ejpam-6656	331	64	,	,	PUNCT
ejpam-6656	331	65	1.59	1.59	NUM
ejpam-6656	331	66	,	,	PUNCT
ejpam-6656	331	67	1.73	1.73	NUM
ejpam-6656	331	68	,	,	PUNCT
ejpam-6656	331	69	1.71	1.71	NUM
ejpam-6656	331	70	,	,	PUNCT
ejpam-6656	331	71	1.18	1.18	NUM
ejpam-6656	331	72	,	,	PUNCT
ejpam-6656	331	73	4.38	4.38	NUM
ejpam-6656	331	74	,	,	PUNCT
ejpam-6656	331	75	0.85	0.85	NUM
ejpam-6656	331	76	,	,	PUNCT
ejpam-6656	331	77	1.80	1.80	NUM
ejpam-6656	331	78	,	,	PUNCT
ejpam-6656	331	79	2.12	2.12	NUM
ejpam-6656	331	80	,	,	PUNCT
ejpam-6656	331	81	3.65	3.65	NUM
ejpam-6656	331	82	.	.	PUNCT
ejpam-6656	331	83	to	to	PART
ejpam-6656	331	84	explore	explore	VERB
ejpam-6656	331	85	the	the	DET
ejpam-6656	331	86	underlying	underlie	VERB
ejpam-6656	331	87	structure	structure	NOUN
ejpam-6656	331	88	and	and	CCONJ
ejpam-6656	331	89	distributional	distributional	ADJ
ejpam-6656	331	90	characteristics	characteristic	NOUN
ejpam-6656	331	91	of	of	ADP
ejpam-6656	331	92	the	the	DET
ejpam-6656	331	93	dataset	dataset	NOUN
ejpam-6656	331	94	,	,	PUNCT
ejpam-6656	331	95	a	a	DET
ejpam-6656	331	96	set	set	NOUN
ejpam-6656	331	97	of	of	ADP
ejpam-6656	331	98	nonparametric	nonparametric	NOUN
ejpam-6656	331	99	info	info	NOUN
ejpam-6656	331	100	graphics	graphic	NOUN
ejpam-6656	331	101	was	be	AUX
ejpam-6656	331	102	generated	generate	VERB
ejpam-6656	331	103	(	(	PUNCT
ejpam-6656	331	104	see	see	VERB
ejpam-6656	331	105	figure	figure	NOUN
ejpam-6656	331	106	6	6	NUM
ejpam-6656	331	107	)	)	PUNCT
ejpam-6656	331	108	.	.	PUNCT
ejpam-6656	332	1	figure	figure	VERB
ejpam-6656	332	2	6	6	NUM
ejpam-6656	332	3	:	:	PUNCT
ejpam-6656	332	4	non	non	ADJ
ejpam-6656	332	5	-	-	ADJ
ejpam-6656	332	6	parametric	parametric	ADJ
ejpam-6656	332	7	plots	plot	NOUN
ejpam-6656	332	8	for	for	ADP
ejpam-6656	332	9	carbon	carbon	NOUN
ejpam-6656	332	10	fiber	fiber	NOUN
ejpam-6656	332	11	dataset	dataset	NOUN
ejpam-6656	332	12	.	.	PUNCT
ejpam-6656	333	1	these	these	DET
ejpam-6656	333	2	plots	plot	NOUN
ejpam-6656	333	3	visually	visually	ADV
ejpam-6656	333	4	depict	depict	VERB
ejpam-6656	333	5	the	the	DET
ejpam-6656	333	6	behavior	behavior	NOUN
ejpam-6656	333	7	of	of	ADP
ejpam-6656	333	8	the	the	DET
ejpam-6656	333	9	data	datum	NOUN
ejpam-6656	333	10	without	without	ADP
ejpam-6656	333	11	making	make	VERB
ejpam-6656	333	12	assumptions	assumption	NOUN
ejpam-6656	333	13	about	about	ADP
ejpam-6656	333	14	its	its	PRON
ejpam-6656	333	15	distribution	distribution	NOUN
ejpam-6656	333	16	.	.	PUNCT
ejpam-6656	334	1	the	the	DET
ejpam-6656	334	2	mean	mean	NOUN
ejpam-6656	334	3	of	of	ADP
ejpam-6656	334	4	the	the	DET
ejpam-6656	334	5	dataset	dataset	NOUN
ejpam-6656	334	6	is	be	AUX
ejpam-6656	334	7	2.6114	2.6114	NUM
ejpam-6656	334	8	,	,	PUNCT
ejpam-6656	334	9	while	while	SCONJ
ejpam-6656	334	10	the	the	DET
ejpam-6656	334	11	median	median	NOUN
ejpam-6656	334	12	is	be	AUX
ejpam-6656	334	13	slightly	slightly	ADV
ejpam-6656	334	14	higher	high	ADJ
ejpam-6656	334	15	at	at	ADP
ejpam-6656	334	16	2.675	2.675	NUM
ejpam-6656	334	17	,	,	PUNCT
ejpam-6656	334	18	and	and	CCONJ
ejpam-6656	334	19	the	the	DET
ejpam-6656	334	20	mode	mode	NOUN
ejpam-6656	334	21	is	be	AUX
ejpam-6656	334	22	2.17	2.17	NUM
ejpam-6656	334	23	,	,	PUNCT
ejpam-6656	334	24	indicating	indicate	VERB
ejpam-6656	334	25	a	a	DET
ejpam-6656	334	26	nearly	nearly	ADV
ejpam-6656	334	27	symmetric	symmetric	ADJ
ejpam-6656	334	28	distribution	distribution	NOUN
ejpam-6656	334	29	.	.	PUNCT
ejpam-6656	335	1	the	the	DET
ejpam-6656	335	2	standard	standard	ADJ
ejpam-6656	335	3	deviation	deviation	NOUN
ejpam-6656	335	4	is	be	AUX
ejpam-6656	335	5	1.0082	1.0082	NUM
ejpam-6656	335	6	,	,	PUNCT
ejpam-6656	335	7	denoting	denote	VERB
ejpam-6656	335	8	a	a	DET
ejpam-6656	335	9	moderate	moderate	ADJ
ejpam-6656	335	10	level	level	NOUN
ejpam-6656	335	11	of	of	ADP
ejpam-6656	335	12	dispersion	dispersion	NOUN
ejpam-6656	335	13	from	from	ADP
ejpam-6656	335	14	the	the	DET
ejpam-6656	335	15	mean	mean	NOUN
ejpam-6656	335	16	.	.	PUNCT
ejpam-6656	336	1	similarly	similarly	ADV
ejpam-6656	336	2	,	,	PUNCT
ejpam-6656	336	3	the	the	DET
ejpam-6656	336	4	variance	variance	NOUN
ejpam-6656	336	5	of	of	ADP
ejpam-6656	336	6	1.0165	1.0165	NUM
ejpam-6656	336	7	corroborates	corroborate	VERB
ejpam-6656	336	8	the	the	DET
ejpam-6656	336	9	observed	observe	VERB
ejpam-6656	336	10	variability	variability	NOUN
ejpam-6656	336	11	in	in	ADP
ejpam-6656	336	12	the	the	DET
ejpam-6656	336	13	data	datum	NOUN
ejpam-6656	336	14	.	.	PUNCT
ejpam-6656	337	1	the	the	DET
ejpam-6656	337	2	dataset	dataset	NOUN
ejpam-6656	337	3	spans	span	NOUN
ejpam-6656	337	4	from	from	ADP
ejpam-6656	337	5	a	a	DET
ejpam-6656	337	6	minimum	minimum	ADJ
ejpam-6656	337	7	value	value	NOUN
ejpam-6656	337	8	of	of	ADP
ejpam-6656	337	9	0.39	0.39	NUM
ejpam-6656	337	10	to	to	ADP
ejpam-6656	337	11	a	a	DET
ejpam-6656	337	12	maximum	maximum	NOUN
ejpam-6656	337	13	of	of	ADP
ejpam-6656	337	14	5.56	5.56	NUM
ejpam-6656	337	15	,	,	PUNCT
ejpam-6656	337	16	yielding	yield	VERB
ejpam-6656	337	17	a	a	DET
ejpam-6656	337	18	range	range	NOUN
ejpam-6656	337	19	of	of	ADP
ejpam-6656	337	20	5.17	5.17	NUM
ejpam-6656	337	21	units	unit	NOUN
ejpam-6656	337	22	.	.	PUNCT
ejpam-6656	338	1	an	an	DET
ejpam-6656	338	2	analysis	analysis	NOUN
ejpam-6656	338	3	of	of	ADP
ejpam-6656	338	4	the	the	DET
ejpam-6656	338	5	quartiles	quartile	NOUN
ejpam-6656	338	6	reveals	reveal	VERB
ejpam-6656	338	7	that	that	SCONJ
ejpam-6656	338	8	the	the	DET
ejpam-6656	338	9	first	first	ADJ
ejpam-6656	338	10	quartile	quartile	NOUN
ejpam-6656	338	11	(	(	PUNCT
ejpam-6656	338	12	q1	q1	PROPN
ejpam-6656	338	13	)	)	PUNCT
ejpam-6656	338	14	is	be	AUX
ejpam-6656	338	15	1.84	1.84	NUM
ejpam-6656	338	16	,	,	PUNCT
ejpam-6656	338	17	and	and	CCONJ
ejpam-6656	338	18	the	the	DET
ejpam-6656	338	19	third	third	ADJ
ejpam-6656	338	20	quartile	quartile	NOUN
ejpam-6656	338	21	(	(	PUNCT
ejpam-6656	338	22	q3	q3	PROPN
ejpam-6656	338	23	)	)	PUNCT
ejpam-6656	338	24	is	be	AUX
ejpam-6656	338	25	3.2125	3.2125	NUM
ejpam-6656	338	26	,	,	PUNCT
ejpam-6656	338	27	resulting	result	VERB
ejpam-6656	338	28	in	in	ADP
ejpam-6656	338	29	an	an	DET
ejpam-6656	338	30	interquartile	interquartile	ADJ
ejpam-6656	338	31	range	range	NOUN
ejpam-6656	338	32	(	(	PUNCT
ejpam-6656	338	33	iqr	iqr	NOUN
ejpam-6656	338	34	)	)	PUNCT
ejpam-6656	338	35	of	of	ADP
ejpam-6656	338	36	0.68625	0.68625	NUM
ejpam-6656	338	37	.	.	PUNCT
ejpam-6656	339	1	this	this	DET
ejpam-6656	339	2	measure	measure	NOUN
ejpam-6656	339	3	indicates	indicate	VERB
ejpam-6656	339	4	that	that	SCONJ
ejpam-6656	339	5	the	the	DET
ejpam-6656	339	6	central	central	ADJ
ejpam-6656	339	7	50	50	NUM
ejpam-6656	339	8	%	%	NOUN
ejpam-6656	339	9	of	of	ADP
ejpam-6656	339	10	the	the	DET
ejpam-6656	339	11	data	data	NOUN
ejpam-6656	339	12	values	value	NOUN
ejpam-6656	339	13	are	be	AUX
ejpam-6656	339	14	fairly	fairly	ADV
ejpam-6656	339	15	concentrated	concentrate	VERB
ejpam-6656	339	16	.	.	PUNCT
ejpam-6656	340	1	the	the	DET
ejpam-6656	340	2	skewness	skewness	NOUN
ejpam-6656	340	3	of	of	ADP
ejpam-6656	340	4	the	the	DET
ejpam-6656	340	5	dataset	dataset	NOUN
ejpam-6656	340	6	is	be	AUX
ejpam-6656	340	7	0.3985	0.3985	NUM
ejpam-6656	340	8	,	,	PUNCT
ejpam-6656	340	9	suggesting	suggest	VERB
ejpam-6656	340	10	a	a	DET
ejpam-6656	340	11	positively	positively	ADV
ejpam-6656	340	12	skewed	skewed	ADJ
ejpam-6656	340	13	distribution	distribution	NOUN
ejpam-6656	340	14	with	with	ADP
ejpam-6656	340	15	a	a	DET
ejpam-6656	340	16	modest	modest	ADJ
ejpam-6656	340	17	elongation	elongation	NOUN
ejpam-6656	340	18	in	in	ADP
ejpam-6656	340	19	the	the	DET
ejpam-6656	340	20	lower	low	ADJ
ejpam-6656	340	21	tail	tail	NOUN
ejpam-6656	340	22	.	.	PUNCT
ejpam-6656	341	1	the	the	DET
ejpam-6656	341	2	kurtosis	kurtosis	NOUN
ejpam-6656	341	3	value	value	NOUN
ejpam-6656	341	4	of	of	ADP
ejpam-6656	341	5	0.2492	0.2492	NUM
ejpam-6656	341	6	implies	imply	VERB
ejpam-6656	341	7	that	that	SCONJ
ejpam-6656	341	8	the	the	DET
ejpam-6656	341	9	distribution	distribution	NOUN
ejpam-6656	341	10	has	have	VERB
ejpam-6656	341	11	a	a	DET
ejpam-6656	341	12	shape	shape	NOUN
ejpam-6656	341	13	close	close	ADV
ejpam-6656	341	14	to	to	ADP
ejpam-6656	341	15	normal	normal	ADJ
ejpam-6656	341	16	,	,	PUNCT
ejpam-6656	341	17	characterized	characterize	VERB
ejpam-6656	341	18	by	by	ADP
ejpam-6656	341	19	a	a	DET
ejpam-6656	341	20	somewhat	somewhat	ADV
ejpam-6656	341	21	flat	flat	ADJ
ejpam-6656	341	22	peak	peak	NOUN
ejpam-6656	341	23	and	and	CCONJ
ejpam-6656	341	24	lighter	light	ADJ
ejpam-6656	341	25	tails	tail	NOUN
ejpam-6656	341	26	compared	compare	VERB
ejpam-6656	341	27	to	to	ADP
ejpam-6656	341	28	the	the	DET
ejpam-6656	341	29	standard	standard	ADJ
ejpam-6656	341	30	normal	normal	ADJ
ejpam-6656	341	31	distribution	distribution	NOUN
ejpam-6656	341	32	.	.	PUNCT
ejpam-6656	342	1	overall	overall	ADV
ejpam-6656	342	2	,	,	PUNCT
ejpam-6656	342	3	the	the	DET
ejpam-6656	342	4	data	datum	NOUN
ejpam-6656	342	5	exhibits	exhibit	VERB
ejpam-6656	342	6	approximate	approximate	ADJ
ejpam-6656	342	7	symmetry	symmetry	NOUN
ejpam-6656	342	8	,	,	PUNCT
ejpam-6656	342	9	moderate	moderate	ADJ
ejpam-6656	342	10	variability	variability	NOUN
ejpam-6656	342	11	,	,	PUNCT
ejpam-6656	342	12	with	with	ADP
ejpam-6656	342	13	no	no	DET
ejpam-6656	342	14	strong	strong	ADJ
ejpam-6656	342	15	evidence	evidence	NOUN
ejpam-6656	342	16	of	of	ADP
ejpam-6656	342	17	extreme	extreme	ADJ
ejpam-6656	342	18	outliers	outlier	NOUN
ejpam-6656	342	19	or	or	CCONJ
ejpam-6656	342	20	heavy	heavy	ADJ
ejpam-6656	342	21	skewness	skewness	NOUN
ejpam-6656	342	22	.	.	PUNCT
ejpam-6656	343	1	these	these	DET
ejpam-6656	343	2	features	feature	NOUN
ejpam-6656	343	3	provide	provide	VERB
ejpam-6656	343	4	a	a	DET
ejpam-6656	343	5	stable	stable	ADJ
ejpam-6656	343	6	basis	basis	NOUN
ejpam-6656	343	7	for	for	ADP
ejpam-6656	343	8	further	further	ADJ
ejpam-6656	343	9	statistical	statistical	ADJ
ejpam-6656	343	10	modeling	modeling	NOUN
ejpam-6656	343	11	and	and	CCONJ
ejpam-6656	343	12	inference	inference	NOUN
ejpam-6656	343	13	.	.	PUNCT
ejpam-6656	344	1	additionally	additionally	ADV
ejpam-6656	344	2	,	,	PUNCT
ejpam-6656	344	3	an	an	DET
ejpam-6656	344	4	inspection	inspection	NOUN
ejpam-6656	344	5	of	of	ADP
ejpam-6656	344	6	the	the	DET
ejpam-6656	344	7	total	total	ADJ
ejpam-6656	344	8	time	time	NOUN
ejpam-6656	344	9	on	on	ADP
ejpam-6656	344	10	test	test	NOUN
ejpam-6656	344	11	(	(	PUNCT
ejpam-6656	344	12	ttt	ttt	NOUN
ejpam-6656	344	13	)	)	PUNCT
ejpam-6656	344	14	plot	plot	NOUN
ejpam-6656	344	15	indicates	indicate	VERB
ejpam-6656	344	16	an	an	DET
ejpam-6656	344	17	increasing	increase	VERB
ejpam-6656	344	18	failure	failure	NOUN
ejpam-6656	344	19	rate	rate	NOUN
ejpam-6656	344	20	over	over	ADP
ejpam-6656	344	21	time	time	NOUN
ejpam-6656	344	22	.	.	PUNCT
ejpam-6656	345	1	this	this	DET
ejpam-6656	345	2	trend	trend	NOUN
ejpam-6656	345	3	suggests	suggest	VERB
ejpam-6656	345	4	that	that	SCONJ
ejpam-6656	345	5	the	the	DET
ejpam-6656	345	6	system	system	NOUN
ejpam-6656	345	7	or	or	CCONJ
ejpam-6656	345	8	process	process	NOUN
ejpam-6656	345	9	under	under	ADP
ejpam-6656	345	10	observation	observation	NOUN
ejpam-6656	345	11	becomes	become	VERB
ejpam-6656	345	12	less	less	ADV
ejpam-6656	345	13	reliable	reliable	ADJ
ejpam-6656	345	14	as	as	ADP
ejpam-6656	345	15	time	time	NOUN
ejpam-6656	345	16	progresses	progress	NOUN
ejpam-6656	345	17	,	,	PUNCT
ejpam-6656	345	18	which	which	PRON
ejpam-6656	345	19	is	be	AUX
ejpam-6656	345	20	a	a	DET
ejpam-6656	345	21	critical	critical	ADJ
ejpam-6656	345	22	insight	insight	NOUN
ejpam-6656	345	23	for	for	ADP
ejpam-6656	345	24	reliability	reliability	NOUN
ejpam-6656	345	25	analysis	analysis	NOUN
ejpam-6656	345	26	and	and	CCONJ
ejpam-6656	345	27	lifetime	lifetime	NOUN
ejpam-6656	345	28	modelling	modelling	NOUN
ejpam-6656	345	29	.	.	PUNCT
ejpam-6656	346	1	u.	u.	PROPN
ejpam-6656	346	2	deka	deka	PROPN
ejpam-6656	346	3	et	et	PROPN
ejpam-6656	346	4	al	al	PROPN
ejpam-6656	346	5	.	.	PUNCT
ejpam-6656	346	6	/	/	SYM
ejpam-6656	346	7	eur	eur	PROPN
ejpam-6656	346	8	.	.	PUNCT
ejpam-6656	347	1	j.	j.	PROPN
ejpam-6656	347	2	pure	pure	PROPN
ejpam-6656	347	3	appl	appl	PROPN
ejpam-6656	347	4	.	.	PROPN
ejpam-6656	347	5	math	math	PROPN
ejpam-6656	347	6	,	,	PUNCT
ejpam-6656	347	7	18	18	NUM
ejpam-6656	347	8	(	(	PUNCT
ejpam-6656	347	9	4	4	NUM
ejpam-6656	347	10	)	)	PUNCT
ejpam-6656	347	11	(	(	PUNCT
ejpam-6656	347	12	2025	2025	NUM
ejpam-6656	347	13	)	)	PUNCT
ejpam-6656	347	14	,	,	PUNCT
ejpam-6656	347	15	6656	6656	NUM
ejpam-6656	347	16	15	15	NUM
ejpam-6656	347	17	of	of	ADP
ejpam-6656	347	18	18	18	NUM
ejpam-6656	347	19	to	to	PART
ejpam-6656	347	20	assess	assess	VERB
ejpam-6656	347	21	the	the	DET
ejpam-6656	347	22	suitability	suitability	NOUN
ejpam-6656	347	23	of	of	ADP
ejpam-6656	347	24	the	the	DET
ejpam-6656	347	25	eiwd	eiwd	PROPN
ejpam-6656	347	26	for	for	ADP
ejpam-6656	347	27	modelling	model	VERB
ejpam-6656	347	28	the	the	DET
ejpam-6656	347	29	given	give	VERB
ejpam-6656	347	30	dataset	dataset	NOUN
ejpam-6656	347	31	,	,	PUNCT
ejpam-6656	347	32	the	the	DET
ejpam-6656	347	33	kolmogorov	kolmogorov	PROPN
ejpam-6656	347	34	–	–	PUNCT
ejpam-6656	347	35	smirnov	smirnov	PROPN
ejpam-6656	347	36	(	(	PUNCT
ejpam-6656	347	37	ks	ks	NOUN
ejpam-6656	347	38	)	)	PUNCT
ejpam-6656	347	39	goodness	goodness	NOUN
ejpam-6656	347	40	-	-	PUNCT
ejpam-6656	347	41	of	of	ADP
ejpam-6656	347	42	-	-	PUNCT
ejpam-6656	347	43	fit	fit	ADJ
ejpam-6656	347	44	test	test	NOUN
ejpam-6656	347	45	is	be	AUX
ejpam-6656	347	46	employed	employ	VERB
ejpam-6656	347	47	.	.	PUNCT
ejpam-6656	348	1	based	base	VERB
ejpam-6656	348	2	on	on	ADP
ejpam-6656	348	3	the	the	DET
ejpam-6656	348	4	maximum	maximum	ADJ
ejpam-6656	348	5	likelihood	likelihood	NOUN
ejpam-6656	348	6	estimation	estimation	NOUN
ejpam-6656	348	7	,	,	PUNCT
ejpam-6656	348	8	the	the	DET
ejpam-6656	348	9	estimated	estimate	VERB
ejpam-6656	348	10	values	value	NOUN
ejpam-6656	348	11	of	of	ADP
ejpam-6656	348	12	the	the	DET
ejpam-6656	348	13	parameters	parameter	NOUN
ejpam-6656	348	14	θ	θ	PROPN
ejpam-6656	348	15	and	and	CCONJ
ejpam-6656	348	16	β	β	X
ejpam-6656	348	17	are	be	AUX
ejpam-6656	348	18	found	find	VERB
ejpam-6656	348	19	to	to	PART
ejpam-6656	348	20	be	be	AUX
ejpam-6656	348	21	3.0855	3.0855	NUM
ejpam-6656	348	22	and	and	CCONJ
ejpam-6656	348	23	1.7737	1.7737	NUM
ejpam-6656	348	24	,	,	PUNCT
ejpam-6656	348	25	respectively	respectively	ADV
ejpam-6656	348	26	,	,	PUNCT
ejpam-6656	348	27	with	with	ADP
ejpam-6656	348	28	corresponding	correspond	VERB
ejpam-6656	348	29	standard	standard	ADJ
ejpam-6656	348	30	errors	error	NOUN
ejpam-6656	348	31	of	of	ADP
ejpam-6656	348	32	0.3274	0.3274	NUM
ejpam-6656	348	33	and	and	CCONJ
ejpam-6656	348	34	0.1120	0.1120	NUM
ejpam-6656	348	35	.	.	PUNCT
ejpam-6656	349	1	the	the	DET
ejpam-6656	349	2	calculated	calculate	VERB
ejpam-6656	349	3	ks	ks	PROPN
ejpam-6656	349	4	test	test	NOUN
ejpam-6656	349	5	statistic	statistic	NOUN
ejpam-6656	349	6	is	be	AUX
ejpam-6656	349	7	0.97917	0.97917	NUM
ejpam-6656	349	8	,	,	PUNCT
ejpam-6656	349	9	with	with	ADP
ejpam-6656	349	10	an	an	DET
ejpam-6656	349	11	associated	associated	ADJ
ejpam-6656	349	12	p	p	NOUN
ejpam-6656	349	13	-	-	PUNCT
ejpam-6656	349	14	value	value	NOUN
ejpam-6656	349	15	of	of	ADP
ejpam-6656	349	16	0.2215	0.2215	NUM
ejpam-6656	349	17	.	.	PUNCT
ejpam-6656	350	1	since	since	SCONJ
ejpam-6656	350	2	the	the	DET
ejpam-6656	350	3	p	p	NOUN
ejpam-6656	350	4	-	-	PUNCT
ejpam-6656	350	5	value	value	NOUN
ejpam-6656	350	6	exceeds	exceed	VERB
ejpam-6656	350	7	the	the	DET
ejpam-6656	350	8	conventional	conventional	ADJ
ejpam-6656	350	9	significance	significance	NOUN
ejpam-6656	350	10	level	level	NOUN
ejpam-6656	350	11	(	(	PUNCT
ejpam-6656	350	12	e.g.	e.g.	ADV
ejpam-6656	350	13	,	,	PUNCT
ejpam-6656	350	14	0.05	0.05	NUM
ejpam-6656	350	15	)	)	PUNCT
ejpam-6656	350	16	,	,	PUNCT
ejpam-6656	350	17	there	there	PRON
ejpam-6656	350	18	is	be	VERB
ejpam-6656	350	19	no	no	DET
ejpam-6656	350	20	statistical	statistical	ADJ
ejpam-6656	350	21	evidence	evidence	NOUN
ejpam-6656	350	22	to	to	PART
ejpam-6656	350	23	reject	reject	VERB
ejpam-6656	350	24	the	the	DET
ejpam-6656	350	25	null	null	ADJ
ejpam-6656	350	26	hypothesis	hypothesis	NOUN
ejpam-6656	350	27	,	,	PUNCT
ejpam-6656	350	28	indicating	indicate	VERB
ejpam-6656	350	29	that	that	SCONJ
ejpam-6656	350	30	the	the	DET
ejpam-6656	350	31	eiwd	eiwd	PROPN
ejpam-6656	350	32	provides	provide	VERB
ejpam-6656	350	33	a	a	DET
ejpam-6656	350	34	satisfactory	satisfactory	ADJ
ejpam-6656	350	35	fit	fit	NOUN
ejpam-6656	350	36	to	to	ADP
ejpam-6656	350	37	the	the	DET
ejpam-6656	350	38	observed	observed	ADJ
ejpam-6656	350	39	data	datum	NOUN
ejpam-6656	350	40	.	.	PUNCT
ejpam-6656	351	1	for	for	ADP
ejpam-6656	351	2	the	the	DET
ejpam-6656	351	3	purpose	purpose	NOUN
ejpam-6656	351	4	of	of	ADP
ejpam-6656	351	5	comparing	compare	VERB
ejpam-6656	351	6	different	different	ADJ
ejpam-6656	351	7	sampling	sampling	NOUN
ejpam-6656	351	8	strategies	strategy	NOUN
ejpam-6656	351	9	,	,	PUNCT
ejpam-6656	351	10	a	a	DET
ejpam-6656	351	11	simple	simple	ADJ
ejpam-6656	351	12	random	random	ADJ
ejpam-6656	351	13	sample	sample	NOUN
ejpam-6656	351	14	of	of	ADP
ejpam-6656	351	15	20	20	NUM
ejpam-6656	351	16	observations	observation	NOUN
ejpam-6656	351	17	is	be	AUX
ejpam-6656	351	18	drawn	draw	VERB
ejpam-6656	351	19	from	from	ADP
ejpam-6656	351	20	the	the	DET
ejpam-6656	351	21	original	original	ADJ
ejpam-6656	351	22	dataset	dataset	NOUN
ejpam-6656	351	23	.	.	PUNCT
ejpam-6656	352	1	in	in	ADP
ejpam-6656	352	2	the	the	DET
ejpam-6656	352	3	context	context	NOUN
ejpam-6656	352	4	of	of	ADP
ejpam-6656	352	5	ranked	rank	VERB
ejpam-6656	352	6	set	set	ADJ
ejpam-6656	352	7	sampling	sampling	NOUN
ejpam-6656	352	8	and	and	CCONJ
ejpam-6656	352	9	its	its	PRON
ejpam-6656	352	10	modified	modified	ADJ
ejpam-6656	352	11	versions	version	NOUN
ejpam-6656	352	12	,	,	PUNCT
ejpam-6656	352	13	a	a	DET
ejpam-6656	352	14	set	set	ADJ
ejpam-6656	352	15	size	size	NOUN
ejpam-6656	352	16	of	of	ADP
ejpam-6656	352	17	m	m	PROPN
ejpam-6656	352	18	=	=	NOUN
ejpam-6656	352	19	10	10	NUM
ejpam-6656	352	20	and	and	CCONJ
ejpam-6656	352	21	a	a	DET
ejpam-6656	352	22	cycle	cycle	NOUN
ejpam-6656	352	23	count	count	NOUN
ejpam-6656	352	24	of	of	ADP
ejpam-6656	352	25	r	r	NOUN
ejpam-6656	352	26	=	=	SYM
ejpam-6656	352	27	2	2	NUM
ejpam-6656	352	28	are	be	AUX
ejpam-6656	352	29	selected	select	VERB
ejpam-6656	352	30	,	,	PUNCT
ejpam-6656	352	31	resulting	result	VERB
ejpam-6656	352	32	in	in	ADP
ejpam-6656	352	33	a	a	DET
ejpam-6656	352	34	total	total	ADJ
ejpam-6656	352	35	sample	sample	NOUN
ejpam-6656	352	36	size	size	NOUN
ejpam-6656	352	37	of	of	ADP
ejpam-6656	352	38	n	n	NOUN
ejpam-6656	352	39	=	=	SYM
ejpam-6656	352	40	mr	mr	PROPN
ejpam-6656	352	41	=	=	PROPN
ejpam-6656	352	42	20	20	NUM
ejpam-6656	352	43	.	.	PUNCT
ejpam-6656	353	1	these	these	DET
ejpam-6656	353	2	samples	sample	NOUN
ejpam-6656	353	3	are	be	AUX
ejpam-6656	353	4	generated	generate	VERB
ejpam-6656	353	5	using	use	VERB
ejpam-6656	353	6	r	r	NOUN
ejpam-6656	353	7	software	software	NOUN
ejpam-6656	353	8	,	,	PUNCT
ejpam-6656	353	9	as	as	SCONJ
ejpam-6656	353	10	described	describe	VERB
ejpam-6656	353	11	below	below	ADP
ejpam-6656	353	12	:	:	PUNCT
ejpam-6656	353	13	table	table	NOUN
ejpam-6656	353	14	3	3	NUM
ejpam-6656	353	15	:	:	PUNCT
ejpam-6656	353	16	samples	sample	NOUN
ejpam-6656	353	17	have	have	AUX
ejpam-6656	353	18	been	be	AUX
ejpam-6656	353	19	drawn	draw	VERB
ejpam-6656	353	20	using	use	VERB
ejpam-6656	353	21	different	different	ADJ
ejpam-6656	353	22	sampling	sampling	NOUN
ejpam-6656	353	23	techniques	technique	NOUN
ejpam-6656	353	24	.	.	PUNCT
ejpam-6656	354	1	srs	srs	PROPN
ejpam-6656	354	2	(	(	PUNCT
ejpam-6656	354	3	size	size	NOUN
ejpam-6656	354	4	20	20	NUM
ejpam-6656	354	5	)	)	PUNCT
ejpam-6656	354	6	2.74	2.74	NUM
ejpam-6656	354	7	2.88	2.88	NUM
ejpam-6656	354	8	2.76	2.76	NUM
ejpam-6656	354	9	2.41	2.41	NUM
ejpam-6656	354	10	2.55	2.55	NUM
ejpam-6656	354	11	4.38	4.38	NUM
ejpam-6656	354	12	2.55	2.55	NUM
ejpam-6656	354	13	2.38	2.38	NUM
ejpam-6656	354	14	3.28	3.28	NUM
ejpam-6656	354	15	2.12	2.12	NUM
ejpam-6656	354	16	1.61	1.61	NUM
ejpam-6656	354	17	1.87	1.87	NUM
ejpam-6656	354	18	0.85	0.85	NUM
ejpam-6656	354	19	1.22	1.22	NUM
ejpam-6656	354	20	2.03	2.03	NUM
ejpam-6656	354	21	0.81	0.81	NUM
ejpam-6656	354	22	3.19	3.19	NUM
ejpam-6656	354	23	3.15	3.15	NUM
ejpam-6656	354	24	3.15	3.15	NUM
ejpam-6656	354	25	3.15	3.15	NUM
ejpam-6656	354	26	3.51	3.51	NUM
ejpam-6656	354	27	rss	rss	NOUN
ejpam-6656	354	28	(	(	PUNCT
ejpam-6656	354	29	m	m	NOUN
ejpam-6656	354	30	=	=	NOUN
ejpam-6656	354	31	10	10	NUM
ejpam-6656	354	32	;	;	PUNCT
ejpam-6656	354	33	r	r	NOUN
ejpam-6656	354	34	=	=	SYM
ejpam-6656	354	35	2	2	NUM
ejpam-6656	354	36	)	)	PUNCT
ejpam-6656	354	37	cycle	cycle	NOUN
ejpam-6656	354	38	1	1	NUM
ejpam-6656	354	39	0.81	0.81	NUM
ejpam-6656	354	40	1.57	1.57	NUM
ejpam-6656	354	41	2.55	2.55	NUM
ejpam-6656	354	42	2.67	2.67	NUM
ejpam-6656	354	43	2.53	2.53	NUM
ejpam-6656	354	44	3.33	3.33	NUM
ejpam-6656	354	45	2.05	2.05	NUM
ejpam-6656	354	46	2.97	2.97	NUM
ejpam-6656	354	47	3.19	3.19	NUM
ejpam-6656	354	48	4.42	4.42	NUM
ejpam-6656	354	49	cycle	cycle	NOUN
ejpam-6656	354	50	2	2	NUM
ejpam-6656	354	51	0.81	0.81	NUM
ejpam-6656	354	52	1.57	1.57	NUM
ejpam-6656	354	53	1.08	1.08	NUM
ejpam-6656	354	54	2.67	2.67	NUM
ejpam-6656	354	55	2.50	2.50	NUM
ejpam-6656	354	56	2.38	2.38	NUM
ejpam-6656	354	57	2.82	2.82	NUM
ejpam-6656	354	58	2.79	2.79	NUM
ejpam-6656	354	59	3.75	3.75	NUM
ejpam-6656	354	60	5.08	5.08	NUM
ejpam-6656	354	61	erss	erss	NOUN
ejpam-6656	354	62	(	(	PUNCT
ejpam-6656	354	63	m	m	NOUN
ejpam-6656	354	64	=	=	NOUN
ejpam-6656	354	65	10	10	NUM
ejpam-6656	354	66	;	;	PUNCT
ejpam-6656	354	67	r	r	NOUN
ejpam-6656	354	68	=	=	SYM
ejpam-6656	354	69	2	2	NUM
ejpam-6656	354	70	)	)	PUNCT
ejpam-6656	354	71	cycle	cycle	NOUN
ejpam-6656	354	72	1	1	NUM
ejpam-6656	354	73	1.08	1.08	NUM
ejpam-6656	354	74	0.85	0.85	NUM
ejpam-6656	354	75	1.18	1.18	NUM
ejpam-6656	354	76	0.39	0.39	NUM
ejpam-6656	354	77	0.81	0.81	NUM
ejpam-6656	354	78	4.91	4.91	NUM
ejpam-6656	354	79	4.20	4.20	NUM
ejpam-6656	354	80	4.70	4.70	NUM
ejpam-6656	354	81	4.90	4.90	NUM
ejpam-6656	354	82	5.56	5.56	NUM
ejpam-6656	354	83	cycle	cycle	NOUN
ejpam-6656	354	84	2	2	NUM
ejpam-6656	354	85	0.39	0.39	NUM
ejpam-6656	354	86	1.61	1.61	NUM
ejpam-6656	354	87	1.18	1.18	NUM
ejpam-6656	354	88	0.81	0.81	NUM
ejpam-6656	354	89	1.17	1.17	NUM
ejpam-6656	354	90	4.91	4.91	NUM
ejpam-6656	354	91	3.68	3.68	NUM
ejpam-6656	354	92	3.51	3.51	NUM
ejpam-6656	354	93	5.56	5.56	NUM
ejpam-6656	354	94	4.90	4.90	NUM
ejpam-6656	354	95	mrss	mrss	NOUN
ejpam-6656	354	96	(	(	PUNCT
ejpam-6656	354	97	m	m	NOUN
ejpam-6656	354	98	=	=	NOUN
ejpam-6656	354	99	10	10	NUM
ejpam-6656	354	100	;	;	PUNCT
ejpam-6656	354	101	r	r	NOUN
ejpam-6656	354	102	=	=	SYM
ejpam-6656	354	103	2	2	NUM
ejpam-6656	354	104	)	)	PUNCT
ejpam-6656	354	105	cycle	cycle	NOUN
ejpam-6656	354	106	1	1	NUM
ejpam-6656	354	107	3.15	3.15	NUM
ejpam-6656	354	108	2.03	2.03	NUM
ejpam-6656	354	109	2.17	2.17	NUM
ejpam-6656	354	110	2.59	2.59	NUM
ejpam-6656	354	111	2.55	2.55	NUM
ejpam-6656	354	112	2.74	2.74	NUM
ejpam-6656	354	113	1.92	1.92	NUM
ejpam-6656	354	114	2.81	2.81	NUM
ejpam-6656	354	115	2.55	2.55	NUM
ejpam-6656	354	116	2.53	2.53	NUM
ejpam-6656	354	117	cycle	cycle	NOUN
ejpam-6656	354	118	2	2	NUM
ejpam-6656	354	119	2.17	2.17	NUM
ejpam-6656	354	120	2.59	2.59	NUM
ejpam-6656	354	121	2.03	2.03	NUM
ejpam-6656	354	122	2.76	2.76	NUM
ejpam-6656	354	123	2.17	2.17	NUM
ejpam-6656	354	124	2.67	2.67	NUM
ejpam-6656	354	125	1.80	1.80	NUM
ejpam-6656	354	126	3.15	3.15	NUM
ejpam-6656	354	127	3.31	3.31	NUM
ejpam-6656	354	128	2.95	2.95	NUM
ejpam-6656	354	129	the	the	DET
ejpam-6656	354	130	srs	srs	PROPN
ejpam-6656	354	131	,	,	PUNCT
ejpam-6656	354	132	rss	rss	NOUN
ejpam-6656	354	133	,	,	PUNCT
ejpam-6656	354	134	mrss	mrss	ADJ
ejpam-6656	354	135	,	,	PUNCT
ejpam-6656	354	136	and	and	CCONJ
ejpam-6656	354	137	erss	erss	ADJ
ejpam-6656	354	138	samples	sample	NOUN
ejpam-6656	354	139	are	be	AUX
ejpam-6656	354	140	all	all	ADV
ejpam-6656	354	141	well	well	ADV
ejpam-6656	354	142	suited	suited	ADJ
ejpam-6656	354	143	to	to	ADP
ejpam-6656	354	144	the	the	DET
ejpam-6656	354	145	eiwd	eiwd	PROPN
ejpam-6656	354	146	.	.	PUNCT
ejpam-6656	355	1	table	table	NOUN
ejpam-6656	355	2	4	4	NUM
ejpam-6656	355	3	and	and	CCONJ
ejpam-6656	355	4	figure	figure	VERB
ejpam-6656	355	5	7	7	NUM
ejpam-6656	355	6	show	show	VERB
ejpam-6656	355	7	the	the	DET
ejpam-6656	355	8	mles	mle	NOUN
ejpam-6656	355	9	of	of	ADP
ejpam-6656	355	10	the	the	DET
ejpam-6656	355	11	parameters	parameter	NOUN
ejpam-6656	355	12	for	for	ADP
ejpam-6656	355	13	each	each	DET
ejpam-6656	355	14	sampling	sample	VERB
ejpam-6656	355	15	technique	technique	NOUN
ejpam-6656	355	16	,	,	PUNCT
ejpam-6656	355	17	as	as	ADV
ejpam-6656	355	18	well	well	ADV
ejpam-6656	355	19	as	as	ADP
ejpam-6656	355	20	the	the	DET
ejpam-6656	355	21	accompanying	accompanying	ADJ
ejpam-6656	355	22	standard	standard	ADJ
ejpam-6656	355	23	error	error	NOUN
ejpam-6656	355	24	,	,	PUNCT
ejpam-6656	355	25	aic	aic	PROPN
ejpam-6656	355	26	,	,	PUNCT
ejpam-6656	355	27	and	and	CCONJ
ejpam-6656	355	28	bic	bic	PROPN
ejpam-6656	355	29	values	value	NOUN
ejpam-6656	355	30	.	.	PUNCT
ejpam-6656	356	1	because	because	SCONJ
ejpam-6656	356	2	all	all	DET
ejpam-6656	356	3	four	four	NUM
ejpam-6656	356	4	sampling	sampling	NOUN
ejpam-6656	356	5	strategies	strategy	NOUN
ejpam-6656	356	6	produce	produce	VERB
ejpam-6656	356	7	the	the	DET
ejpam-6656	356	8	same	same	ADJ
ejpam-6656	356	9	parametric	parametric	ADJ
ejpam-6656	356	10	distribution	distribution	NOUN
ejpam-6656	356	11	eiwd	eiwd	PROPN
ejpam-6656	356	12	,	,	PUNCT
ejpam-6656	356	13	comparing	compare	VERB
ejpam-6656	356	14	their	their	PRON
ejpam-6656	356	15	aic	aic	PROPN
ejpam-6656	356	16	and	and	CCONJ
ejpam-6656	356	17	bic	bic	PROPN
ejpam-6656	356	18	values	value	NOUN
ejpam-6656	356	19	is	be	AUX
ejpam-6656	356	20	useful	useful	ADJ
ejpam-6656	356	21	.	.	PUNCT
ejpam-6656	357	1	based	base	VERB
ejpam-6656	357	2	on	on	ADP
ejpam-6656	357	3	the	the	DET
ejpam-6656	357	4	aic	aic	PROPN
ejpam-6656	357	5	and	and	CCONJ
ejpam-6656	357	6	bic	bic	PROPN
ejpam-6656	357	7	criterion	criterion	NOUN
ejpam-6656	357	8	,	,	PUNCT
ejpam-6656	357	9	the	the	DET
ejpam-6656	357	10	erss	erss	ADJ
ejpam-6656	357	11	sample	sample	NOUN
ejpam-6656	357	12	is	be	AUX
ejpam-6656	357	13	the	the	DET
ejpam-6656	357	14	best	good	ADJ
ejpam-6656	357	15	fit	fit	NOUN
ejpam-6656	357	16	for	for	ADP
ejpam-6656	357	17	the	the	DET
ejpam-6656	357	18	eiwd	eiwd	PROPN
ejpam-6656	357	19	.	.	PUNCT
ejpam-6656	358	1	table	table	NOUN
ejpam-6656	358	2	4	4	NUM
ejpam-6656	358	3	:	:	PUNCT
ejpam-6656	358	4	summary	summary	NOUN
ejpam-6656	358	5	of	of	ADP
ejpam-6656	358	6	parameter	parameter	NOUN
ejpam-6656	358	7	estimates	estimate	NOUN
ejpam-6656	358	8	under	under	ADP
ejpam-6656	358	9	different	different	ADJ
ejpam-6656	358	10	sampling	sampling	NOUN
ejpam-6656	358	11	techniques	technique	NOUN
ejpam-6656	358	12	.	.	PUNCT
ejpam-6656	359	1	sampling	sample	VERB
ejpam-6656	359	2	(	(	PUNCT
ejpam-6656	359	3	θ̂	θ̂	NUM
ejpam-6656	359	4	,	,	PUNCT
ejpam-6656	359	5	β̂	β̂	NUM
ejpam-6656	359	6	)	)	PUNCT
ejpam-6656	359	7	standard	standard	ADJ
ejpam-6656	359	8	errors	error	NOUN
ejpam-6656	359	9	aic	aic	PROPN
ejpam-6656	359	10	bic	bic	PROPN
ejpam-6656	359	11	erss	erss	ADV
ejpam-6656	359	12	(	(	PUNCT
ejpam-6656	359	13	1.30299	1.30299	NUM
ejpam-6656	359	14	,	,	PUNCT
ejpam-6656	359	15	1.13840	1.13840	NUM
ejpam-6656	359	16	)	)	PUNCT
ejpam-6656	359	17	(	(	PUNCT
ejpam-6656	359	18	0.29484	0.29484	NUM
ejpam-6656	359	19	,	,	PUNCT
ejpam-6656	359	20	0.19149	0.19149	NUM
ejpam-6656	359	21	)	)	PUNCT
ejpam-6656	359	22	157.7079	157.7079	NUM
ejpam-6656	359	23	160.2161	160.2161	NUM
ejpam-6656	359	24	rss	rss	NOUN
ejpam-6656	359	25	(	(	PUNCT
ejpam-6656	359	26	2.90086	2.90086	NUM
ejpam-6656	359	27	,	,	PUNCT
ejpam-6656	359	28	1.83696	1.83696	NUM
ejpam-6656	359	29	)	)	PUNCT
ejpam-6656	359	30	(	(	PUNCT
ejpam-6656	359	31	0.69678	0.69678	NUM
ejpam-6656	359	32	,	,	PUNCT
ejpam-6656	359	33	0.29168	0.29168	NUM
ejpam-6656	359	34	)	)	PUNCT
ejpam-6656	359	35	162.7282	162.7282	NUM
ejpam-6656	359	36	165.2470	165.2470	NUM
ejpam-6656	359	37	mrss	mrss	NOUN
ejpam-6656	359	38	(	(	PUNCT
ejpam-6656	359	39	3.16454	3.16454	NUM
ejpam-6656	359	40	,	,	PUNCT
ejpam-6656	359	41	6.07463	6.07463	NUM
ejpam-6656	359	42	)	)	PUNCT
ejpam-6656	359	43	(	(	PUNCT
ejpam-6656	359	44	0.76085	0.76085	NUM
ejpam-6656	359	45	,	,	PUNCT
ejpam-6656	359	46	0.29881	0.29881	NUM
ejpam-6656	359	47	)	)	PUNCT
ejpam-6656	359	48	165.5638	165.5638	NUM
ejpam-6656	359	49	166.4515	166.4515	NUM
ejpam-6656	359	50	srs	srs	X
ejpam-6656	359	51	(	(	PUNCT
ejpam-6656	359	52	3.14725	3.14725	NUM
ejpam-6656	359	53	,	,	PUNCT
ejpam-6656	359	54	1.96397	1.96397	NUM
ejpam-6656	359	55	)	)	PUNCT
ejpam-6656	359	56	(	(	PUNCT
ejpam-6656	359	57	0.76592	0.76592	NUM
ejpam-6656	359	58	,	,	PUNCT
ejpam-6656	359	59	0.30611	0.30611	NUM
ejpam-6656	359	60	)	)	PUNCT
ejpam-6656	359	61	168.7288	168.7288	NUM
ejpam-6656	359	62	171.6841	171.6841	NUM
ejpam-6656	359	63	u.	u.	NOUN
ejpam-6656	359	64	deka	deka	NOUN
ejpam-6656	359	65	et	et	PROPN
ejpam-6656	359	66	al	al	PROPN
ejpam-6656	359	67	.	.	PUNCT
ejpam-6656	359	68	/	/	SYM
ejpam-6656	359	69	eur	eur	PROPN
ejpam-6656	359	70	.	.	PUNCT
ejpam-6656	360	1	j.	j.	PROPN
ejpam-6656	360	2	pure	pure	PROPN
ejpam-6656	360	3	appl	appl	PROPN
ejpam-6656	360	4	.	.	PROPN
ejpam-6656	360	5	math	math	PROPN
ejpam-6656	360	6	,	,	PUNCT
ejpam-6656	360	7	18	18	NUM
ejpam-6656	360	8	(	(	PUNCT
ejpam-6656	360	9	4	4	NUM
ejpam-6656	360	10	)	)	PUNCT
ejpam-6656	360	11	(	(	PUNCT
ejpam-6656	360	12	2025	2025	NUM
ejpam-6656	360	13	)	)	PUNCT
ejpam-6656	360	14	,	,	PUNCT
ejpam-6656	360	15	6656	6656	NUM
ejpam-6656	360	16	16	16	NUM
ejpam-6656	360	17	of	of	ADP
ejpam-6656	360	18	18	18	NUM
ejpam-6656	360	19	figure	figure	NOUN
ejpam-6656	360	20	7	7	NUM
ejpam-6656	360	21	:	:	PUNCT
ejpam-6656	360	22	the	the	DET
ejpam-6656	360	23	goodness	goodness	NOUN
ejpam-6656	360	24	-	-	PUNCT
ejpam-6656	360	25	of	of	ADP
ejpam-6656	360	26	-	-	PUNCT
ejpam-6656	360	27	fit	fit	NOUN
ejpam-6656	360	28	analysis	analysis	NOUN
ejpam-6656	360	29	for	for	ADP
ejpam-6656	360	30	carbon	carbon	NOUN
ejpam-6656	360	31	fiber	fiber	NOUN
ejpam-6656	360	32	dataset	dataset	NOUN
ejpam-6656	360	33	.	.	PUNCT
ejpam-6656	361	1	5	5	X
ejpam-6656	361	2	.	.	X
ejpam-6656	361	3	conclusions	conclusion	NOUN
ejpam-6656	361	4	finding	find	VERB
ejpam-6656	361	5	the	the	DET
ejpam-6656	361	6	unknown	unknown	ADJ
ejpam-6656	361	7	eiwd	eiwd	ADJ
ejpam-6656	361	8	parameters	parameter	NOUN
ejpam-6656	361	9	inside	inside	ADP
ejpam-6656	361	10	the	the	DET
ejpam-6656	361	11	rss	rss	NOUN
ejpam-6656	361	12	framework	framework	NOUN
ejpam-6656	361	13	,	,	PUNCT
ejpam-6656	361	14	especially	especially	ADV
ejpam-6656	361	15	using	use	VERB
ejpam-6656	361	16	its	its	PRON
ejpam-6656	361	17	two	two	NUM
ejpam-6656	361	18	modified	modified	ADJ
ejpam-6656	361	19	variants	variant	NOUN
ejpam-6656	361	20	(	(	PUNCT
ejpam-6656	361	21	erss	erss	ADJ
ejpam-6656	361	22	and	and	CCONJ
ejpam-6656	361	23	mrss	mrss	ADJ
ejpam-6656	361	24	)	)	PUNCT
ejpam-6656	361	25	,	,	PUNCT
ejpam-6656	361	26	was	be	AUX
ejpam-6656	361	27	the	the	DET
ejpam-6656	361	28	goal	goal	NOUN
ejpam-6656	361	29	of	of	ADP
ejpam-6656	361	30	this	this	DET
ejpam-6656	361	31	study	study	NOUN
ejpam-6656	361	32	,	,	PUNCT
ejpam-6656	361	33	which	which	PRON
ejpam-6656	361	34	aimed	aim	VERB
ejpam-6656	361	35	to	to	PART
ejpam-6656	361	36	apply	apply	VERB
ejpam-6656	361	37	maximum	maximum	ADJ
ejpam-6656	361	38	likelihood	likelihood	NOUN
ejpam-6656	361	39	estimation	estimation	NOUN
ejpam-6656	361	40	.	.	PUNCT
ejpam-6656	362	1	the	the	DET
ejpam-6656	362	2	non	non	NOUN
ejpam-6656	362	3	-	-	NOUN
ejpam-6656	362	4	linearity	linearity	NOUN
ejpam-6656	362	5	of	of	ADP
ejpam-6656	362	6	the	the	DET
ejpam-6656	362	7	likelihood	likelihood	NOUN
ejpam-6656	362	8	equations	equation	NOUN
ejpam-6656	362	9	hindered	hinder	VERB
ejpam-6656	362	10	closed	closed	ADJ
ejpam-6656	362	11	-	-	PUNCT
ejpam-6656	362	12	form	form	NOUN
ejpam-6656	362	13	solutions	solution	NOUN
ejpam-6656	362	14	,	,	PUNCT
ejpam-6656	362	15	so	so	ADV
ejpam-6656	362	16	extensive	extensive	ADJ
ejpam-6656	362	17	monte	monte	PROPN
ejpam-6656	362	18	carlo	carlo	PROPN
ejpam-6656	362	19	simulations	simulation	NOUN
ejpam-6656	362	20	were	be	AUX
ejpam-6656	362	21	used	use	VERB
ejpam-6656	362	22	to	to	PART
ejpam-6656	362	23	test	test	VERB
ejpam-6656	362	24	the	the	DET
ejpam-6656	362	25	ml	ml	NOUN
ejpam-6656	362	26	estimators	estimator	NOUN
ejpam-6656	362	27	of	of	ADP
ejpam-6656	362	28	the	the	DET
ejpam-6656	362	29	eiwd	eiwd	PROPN
ejpam-6656	362	30	’s	’s	PART
ejpam-6656	362	31	shape	shape	NOUN
ejpam-6656	362	32	and	and	CCONJ
ejpam-6656	362	33	scale	scale	NOUN
ejpam-6656	362	34	parameters	parameter	NOUN
ejpam-6656	362	35	.	.	PUNCT
ejpam-6656	363	1	the	the	DET
ejpam-6656	363	2	investigation	investigation	NOUN
ejpam-6656	363	3	focused	focus	VERB
ejpam-6656	363	4	on	on	ADP
ejpam-6656	363	5	important	important	ADJ
ejpam-6656	363	6	performance	performance	NOUN
ejpam-6656	363	7	indicators	indicator	NOUN
ejpam-6656	363	8	such	such	ADJ
ejpam-6656	363	9	as	as	ADP
ejpam-6656	363	10	relative	relative	ADJ
ejpam-6656	363	11	efficiency	efficiency	NOUN
ejpam-6656	363	12	,	,	PUNCT
ejpam-6656	363	13	bias	bias	NOUN
ejpam-6656	363	14	,	,	PUNCT
ejpam-6656	363	15	and	and	CCONJ
ejpam-6656	363	16	mean	mean	VERB
ejpam-6656	363	17	squared	square	VERB
ejpam-6656	363	18	error	error	NOUN
ejpam-6656	363	19	.	.	PUNCT
ejpam-6656	364	1	estimators	estimator	NOUN
ejpam-6656	364	2	derived	derive	VERB
ejpam-6656	364	3	from	from	ADP
ejpam-6656	364	4	rss	rss	NOUN
ejpam-6656	364	5	,	,	PUNCT
ejpam-6656	364	6	erss	erss	ADJ
ejpam-6656	364	7	,	,	PUNCT
ejpam-6656	364	8	and	and	CCONJ
ejpam-6656	364	9	mrss	mrss	NOUN
ejpam-6656	364	10	routinely	routinely	ADV
ejpam-6656	364	11	produced	produce	VERB
ejpam-6656	364	12	less	less	ADJ
ejpam-6656	364	13	bias	bias	NOUN
ejpam-6656	364	14	and	and	CCONJ
ejpam-6656	364	15	mse	mse	NOUN
ejpam-6656	364	16	than	than	ADP
ejpam-6656	364	17	those	those	PRON
ejpam-6656	364	18	derived	derive	VERB
ejpam-6656	364	19	from	from	ADP
ejpam-6656	364	20	srs	srs	PROPN
ejpam-6656	364	21	,	,	PUNCT
ejpam-6656	364	22	according	accord	VERB
ejpam-6656	364	23	to	to	ADP
ejpam-6656	364	24	the	the	DET
ejpam-6656	364	25	results	result	NOUN
ejpam-6656	364	26	.	.	PUNCT
ejpam-6656	365	1	out	out	ADP
ejpam-6656	365	2	of	of	ADP
ejpam-6656	365	3	all	all	DET
ejpam-6656	365	4	the	the	DET
ejpam-6656	365	5	methods	method	NOUN
ejpam-6656	365	6	,	,	PUNCT
ejpam-6656	365	7	erss	erss	ADV
ejpam-6656	365	8	provided	provide	VERB
ejpam-6656	365	9	the	the	DET
ejpam-6656	365	10	best	good	ADJ
ejpam-6656	365	11	accurate	accurate	ADJ
ejpam-6656	365	12	estimates	estimate	NOUN
ejpam-6656	365	13	with	with	ADP
ejpam-6656	365	14	the	the	DET
ejpam-6656	365	15	least	least	ADJ
ejpam-6656	365	16	amount	amount	NOUN
ejpam-6656	365	17	of	of	ADP
ejpam-6656	365	18	bias	bias	NOUN
ejpam-6656	365	19	and	and	CCONJ
ejpam-6656	365	20	mse	mse	NOUN
ejpam-6656	365	21	,	,	PUNCT
ejpam-6656	365	22	making	make	VERB
ejpam-6656	365	23	it	it	PRON
ejpam-6656	365	24	the	the	DET
ejpam-6656	365	25	most	most	ADV
ejpam-6656	365	26	efficient	efficient	ADJ
ejpam-6656	365	27	.	.	PUNCT
ejpam-6656	366	1	these	these	DET
ejpam-6656	366	2	findings	finding	NOUN
ejpam-6656	366	3	demonstrated	demonstrate	VERB
ejpam-6656	366	4	that	that	SCONJ
ejpam-6656	366	5	erss	erss	ADJ
ejpam-6656	366	6	and	and	CCONJ
ejpam-6656	366	7	similar	similar	ADJ
ejpam-6656	366	8	structured	structured	ADJ
ejpam-6656	366	9	sampling	sampling	NOUN
ejpam-6656	366	10	strategies	strategy	NOUN
ejpam-6656	366	11	are	be	AUX
ejpam-6656	366	12	capable	capable	ADJ
ejpam-6656	366	13	of	of	ADP
ejpam-6656	366	14	effectively	effectively	ADV
ejpam-6656	366	15	managing	manage	VERB
ejpam-6656	366	16	eiwd	eiwd	PROPN
ejpam-6656	366	17	distributions	distribution	NOUN
ejpam-6656	366	18	.	.	PUNCT
ejpam-6656	367	1	a	a	DET
ejpam-6656	367	2	genuine	genuine	ADJ
ejpam-6656	367	3	dataset	dataset	NOUN
ejpam-6656	367	4	of	of	ADP
ejpam-6656	367	5	carbon	carbon	NOUN
ejpam-6656	367	6	fiber	fiber	NOUN
ejpam-6656	367	7	materials	material	NOUN
ejpam-6656	367	8	’	'	PUNCT
ejpam-6656	367	9	tensile	tensile	NOUN
ejpam-6656	367	10	strength	strength	NOUN
ejpam-6656	367	11	was	be	AUX
ejpam-6656	367	12	used	use	VERB
ejpam-6656	367	13	to	to	PART
ejpam-6656	367	14	further	far	ADV
ejpam-6656	367	15	validate	validate	VERB
ejpam-6656	367	16	the	the	DET
ejpam-6656	367	17	proposed	propose	VERB
ejpam-6656	367	18	estimation	estimation	NOUN
ejpam-6656	367	19	methods	method	NOUN
ejpam-6656	367	20	.	.	PUNCT
ejpam-6656	368	1	compared	compare	VERB
ejpam-6656	368	2	to	to	ADP
ejpam-6656	368	3	previous	previous	ADJ
ejpam-6656	368	4	sampling	sampling	NOUN
ejpam-6656	368	5	strategies	strategy	NOUN
ejpam-6656	368	6	,	,	PUNCT
ejpam-6656	368	7	the	the	DET
ejpam-6656	368	8	erss	erss	ADJ
ejpam-6656	368	9	method	method	NOUN
ejpam-6656	368	10	produced	produce	VERB
ejpam-6656	368	11	lower	low	ADJ
ejpam-6656	368	12	aic	aic	PROPN
ejpam-6656	368	13	and	and	CCONJ
ejpam-6656	368	14	bic	bic	PROPN
ejpam-6656	368	15	values	value	NOUN
ejpam-6656	368	16	,	,	PUNCT
ejpam-6656	368	17	which	which	PRON
ejpam-6656	368	18	revealed	reveal	VERB
ejpam-6656	368	19	that	that	SCONJ
ejpam-6656	368	20	it	it	PRON
ejpam-6656	368	21	increased	increase	VERB
ejpam-6656	368	22	performance	performance	NOUN
ejpam-6656	368	23	and	and	CCONJ
ejpam-6656	368	24	indicated	indicate	VERB
ejpam-6656	368	25	that	that	SCONJ
ejpam-6656	368	26	the	the	DET
ejpam-6656	368	27	model	model	NOUN
ejpam-6656	368	28	fit	fit	NOUN
ejpam-6656	368	29	was	be	AUX
ejpam-6656	368	30	superior	superior	ADJ
ejpam-6656	368	31	.	.	PUNCT
ejpam-6656	369	1	potential	potential	ADJ
ejpam-6656	369	2	new	new	ADJ
ejpam-6656	369	3	lines	line	NOUN
ejpam-6656	369	4	of	of	ADP
ejpam-6656	369	5	inquiry	inquiry	NOUN
ejpam-6656	369	6	have	have	AUX
ejpam-6656	369	7	been	be	AUX
ejpam-6656	369	8	uncovered	uncover	VERB
ejpam-6656	369	9	by	by	ADP
ejpam-6656	369	10	this	this	DET
ejpam-6656	369	11	investigation	investigation	NOUN
ejpam-6656	369	12	.	.	PUNCT
ejpam-6656	370	1	first	first	ADV
ejpam-6656	370	2	,	,	PUNCT
ejpam-6656	370	3	other	other	ADJ
ejpam-6656	370	4	estimating	estimate	VERB
ejpam-6656	370	5	techniques	technique	NOUN
ejpam-6656	370	6	,	,	PUNCT
ejpam-6656	370	7	such	such	DET
ejpam-6656	370	8	the	the	DET
ejpam-6656	370	9	method	method	NOUN
ejpam-6656	370	10	of	of	ADP
ejpam-6656	370	11	moments	moment	NOUN
ejpam-6656	370	12	or	or	CCONJ
ejpam-6656	370	13	bayesian	bayesian	NOUN
ejpam-6656	370	14	methods	method	NOUN
ejpam-6656	370	15	,	,	PUNCT
ejpam-6656	370	16	could	could	AUX
ejpam-6656	370	17	be	be	AUX
ejpam-6656	370	18	investigated	investigate	VERB
ejpam-6656	370	19	using	use	VERB
ejpam-6656	370	20	the	the	DET
ejpam-6656	370	21	same	same	ADJ
ejpam-6656	370	22	sampling	sampling	NOUN
ejpam-6656	370	23	strategies	strategy	NOUN
ejpam-6656	370	24	.	.	PUNCT
ejpam-6656	371	1	secondly	secondly	ADV
ejpam-6656	371	2	,	,	PUNCT
ejpam-6656	371	3	different	different	ADJ
ejpam-6656	371	4	distributions	distribution	NOUN
ejpam-6656	371	5	of	of	ADP
ejpam-6656	371	6	lifetime	lifetime	NOUN
ejpam-6656	371	7	or	or	CCONJ
ejpam-6656	371	8	dependability	dependability	NOUN
ejpam-6656	371	9	that	that	PRON
ejpam-6656	371	10	have	have	VERB
ejpam-6656	371	11	comparable	comparable	ADJ
ejpam-6656	371	12	structural	structural	ADJ
ejpam-6656	371	13	properties	property	NOUN
ejpam-6656	371	14	might	might	AUX
ejpam-6656	371	15	be	be	AUX
ejpam-6656	371	16	incorporated	incorporate	VERB
ejpam-6656	371	17	into	into	ADP
ejpam-6656	371	18	the	the	DET
ejpam-6656	371	19	framework	framework	NOUN
ejpam-6656	371	20	.	.	PUNCT
ejpam-6656	372	1	lastly	lastly	ADV
ejpam-6656	372	2	,	,	PUNCT
ejpam-6656	372	3	future	future	ADJ
ejpam-6656	372	4	research	research	NOUN
ejpam-6656	372	5	might	might	AUX
ejpam-6656	372	6	investigate	investigate	VERB
ejpam-6656	372	7	how	how	SCONJ
ejpam-6656	372	8	well	well	ADV
ejpam-6656	372	9	these	these	DET
ejpam-6656	372	10	estimators	estimator	NOUN
ejpam-6656	372	11	function	function	VERB
ejpam-6656	372	12	under	under	ADP
ejpam-6656	372	13	more	more	ADV
ejpam-6656	372	14	complicated	complicated	ADJ
ejpam-6656	372	15	circumstances	circumstance	NOUN
ejpam-6656	372	16	in	in	ADP
ejpam-6656	372	17	high	high	ADV
ejpam-6656	372	18	-	-	PUNCT
ejpam-6656	372	19	dimensional	dimensional	ADJ
ejpam-6656	372	20	or	or	CCONJ
ejpam-6656	372	21	multivariate	multivariate	NOUN
ejpam-6656	372	22	environments	environment	NOUN
ejpam-6656	372	23	,	,	PUNCT
ejpam-6656	372	24	especially	especially	ADV
ejpam-6656	372	25	when	when	SCONJ
ejpam-6656	372	26	handling	handle	VERB
ejpam-6656	372	27	censored	censored	ADJ
ejpam-6656	372	28	data	datum	NOUN
ejpam-6656	372	29	.	.	PUNCT
ejpam-6656	373	1	•	•	NUM
ejpam-6656	373	2	data	datum	NOUN
ejpam-6656	373	3	availability	availability	NOUN
ejpam-6656	373	4	statement	statement	NOUN
ejpam-6656	373	5	:	:	PUNCT
ejpam-6656	373	6	the	the	DET
ejpam-6656	373	7	data	data	NOUN
ejpam-6656	373	8	sets	set	NOUN
ejpam-6656	373	9	are	be	AUX
ejpam-6656	373	10	available	available	ADJ
ejpam-6656	373	11	on	on	ADP
ejpam-6656	373	12	paper	paper	NOUN
ejpam-6656	373	13	.	.	PUNCT
ejpam-6656	374	1	•	•	NUM
ejpam-6656	374	2	conflicts	conflict	NOUN
ejpam-6656	374	3	of	of	ADP
ejpam-6656	374	4	interest	interest	NOUN
ejpam-6656	374	5	:	:	PUNCT
ejpam-6656	374	6	the	the	DET
ejpam-6656	374	7	authors	author	NOUN
ejpam-6656	374	8	declare	declare	VERB
ejpam-6656	374	9	no	no	DET
ejpam-6656	374	10	conflict	conflict	NOUN
ejpam-6656	374	11	of	of	ADP
ejpam-6656	374	12	interest	interest	NOUN
ejpam-6656	374	13	.	.	PUNCT
ejpam-6656	375	1	u.	u.	PROPN
ejpam-6656	375	2	deka	deka	PROPN
ejpam-6656	375	3	et	et	PROPN
ejpam-6656	375	4	al	al	PROPN
ejpam-6656	375	5	.	.	PUNCT
ejpam-6656	375	6	/	/	SYM
ejpam-6656	375	7	eur	eur	PROPN
ejpam-6656	375	8	.	.	PUNCT
ejpam-6656	376	1	j.	j.	PROPN
ejpam-6656	376	2	pure	pure	PROPN
ejpam-6656	376	3	appl	appl	PROPN
ejpam-6656	376	4	.	.	PROPN
ejpam-6656	376	5	math	math	PROPN
ejpam-6656	376	6	,	,	PUNCT
ejpam-6656	376	7	18	18	NUM
ejpam-6656	376	8	(	(	PUNCT
ejpam-6656	376	9	4	4	NUM
ejpam-6656	376	10	)	)	PUNCT
ejpam-6656	376	11	(	(	PUNCT
ejpam-6656	376	12	2025	2025	NUM
ejpam-6656	376	13	)	)	PUNCT
ejpam-6656	376	14	,	,	PUNCT
ejpam-6656	376	15	6656	6656	NUM
ejpam-6656	376	16	17	17	NUM
ejpam-6656	376	17	of	of	ADP
ejpam-6656	376	18	18	18	NUM
ejpam-6656	376	19	references	reference	NOUN
ejpam-6656	376	20	[	[	X
ejpam-6656	376	21	1	1	NUM
ejpam-6656	376	22	]	]	X
ejpam-6656	376	23	y.	y.	PROPN
ejpam-6656	376	24	y.	y.	PROPN
ejpam-6656	376	25	abdelall	abdelall	PROPN
ejpam-6656	376	26	,	,	PUNCT
ejpam-6656	376	27	a.	a.	PROPN
ejpam-6656	376	28	hassan	hassan	PROPN
ejpam-6656	376	29	,	,	PUNCT
ejpam-6656	376	30	and	and	CCONJ
ejpam-6656	376	31	e.	e.	PROPN
ejpam-6656	376	32	almetwally	almetwally	ADV
ejpam-6656	376	33	.	.	PUNCT
ejpam-6656	377	1	a	a	DET
ejpam-6656	377	2	new	new	ADJ
ejpam-6656	377	3	extension	extension	NOUN
ejpam-6656	377	4	of	of	ADP
ejpam-6656	377	5	the	the	DET
ejpam-6656	377	6	odd	odd	ADJ
ejpam-6656	377	7	inverse	inverse	NOUN
ejpam-6656	377	8	weibull	weibull	PROPN
ejpam-6656	377	9	-	-	PUNCT
ejpam-6656	377	10	g	g	PROPN
ejpam-6656	377	11	family	family	NOUN
ejpam-6656	377	12	of	of	ADP
ejpam-6656	377	13	distributions	distribution	NOUN
ejpam-6656	377	14	:	:	PUNCT
ejpam-6656	377	15	bayesian	bayesian	NOUN
ejpam-6656	377	16	and	and	CCONJ
ejpam-6656	377	17	non	non	ADJ
ejpam-6656	377	18	-	-	ADJ
ejpam-6656	377	19	bayesian	bayesian	ADJ
ejpam-6656	377	20	estimation	estimation	NOUN
ejpam-6656	377	21	with	with	ADP
ejpam-6656	377	22	engineering	engineering	NOUN
ejpam-6656	377	23	applications	application	NOUN
ejpam-6656	377	24	.	.	PUNCT
ejpam-6656	378	1	computational	computational	ADJ
ejpam-6656	378	2	journal	journal	NOUN
ejpam-6656	378	3	of	of	ADP
ejpam-6656	378	4	mathematical	mathematical	ADJ
ejpam-6656	378	5	and	and	CCONJ
ejpam-6656	378	6	statistical	statistical	ADJ
ejpam-6656	378	7	sciences	science	NOUN
ejpam-6656	378	8	,	,	PUNCT
ejpam-6656	378	9	3(2):359–388	3(2):359–388	NUM
ejpam-6656	378	10	,	,	PUNCT
ejpam-6656	378	11	2024	2024	NUM
ejpam-6656	378	12	.	.	PUNCT
ejpam-6656	379	1	[	[	X
ejpam-6656	379	2	2	2	X
ejpam-6656	379	3	]	]	PUNCT
ejpam-6656	379	4	s.	s.	PROPN
ejpam-6656	379	5	alkarni	alkarni	PROPN
ejpam-6656	379	6	,	,	PUNCT
ejpam-6656	379	7	a.	a.	PROPN
ejpam-6656	379	8	z.	z.	PROPN
ejpam-6656	379	9	afify	afify	PROPN
ejpam-6656	379	10	,	,	PUNCT
ejpam-6656	379	11	i.	i.	PROPN
ejpam-6656	379	12	elbatal	elbatal	PROPN
ejpam-6656	379	13	,	,	PUNCT
ejpam-6656	379	14	and	and	CCONJ
ejpam-6656	379	15	m.	m.	NOUN
ejpam-6656	379	16	elgarhy	elgarhy	PROPN
ejpam-6656	379	17	.	.	PUNCT
ejpam-6656	380	1	the	the	DET
ejpam-6656	380	2	extended	extended	ADJ
ejpam-6656	380	3	inverse	inverse	NOUN
ejpam-6656	380	4	weibull	weibull	NOUN
ejpam-6656	380	5	distribution	distribution	NOUN
ejpam-6656	380	6	:	:	PUNCT
ejpam-6656	380	7	properties	property	NOUN
ejpam-6656	380	8	and	and	CCONJ
ejpam-6656	380	9	applications	application	NOUN
ejpam-6656	380	10	.	.	PUNCT
ejpam-6656	381	1	complexity	complexity	NOUN
ejpam-6656	381	2	,	,	PUNCT
ejpam-6656	381	3	2020	2020	NUM
ejpam-6656	381	4	:	:	PUNCT
ejpam-6656	381	5	article	article	NOUN
ejpam-6656	381	6	i	i	PROPN
ejpam-6656	381	7	d	d	PROPN
ejpam-6656	381	8	3297693	3297693	NUM
ejpam-6656	381	9	,	,	PUNCT
ejpam-6656	381	10	2020	2020	NUM
ejpam-6656	381	11	.	.	PUNCT
ejpam-6656	382	1	[	[	X
ejpam-6656	382	2	3	3	X
ejpam-6656	382	3	]	]	X
ejpam-6656	382	4	n.	n.	NOUN
ejpam-6656	382	5	alsadat	alsadat	PROPN
ejpam-6656	382	6	,	,	PUNCT
ejpam-6656	382	7	a.	a.	PROPN
ejpam-6656	382	8	s.	s.	PROPN
ejpam-6656	382	9	hassan	hassan	PROPN
ejpam-6656	382	10	,	,	PUNCT
ejpam-6656	382	11	m.	m.	NOUN
ejpam-6656	382	12	elgarhy	elgarhy	PROPN
ejpam-6656	382	13	,	,	PUNCT
ejpam-6656	382	14	c.	c.	PROPN
ejpam-6656	382	15	chesneau	chesneau	PROPN
ejpam-6656	382	16	,	,	PUNCT
ejpam-6656	382	17	and	and	CCONJ
ejpam-6656	382	18	r.	r.	PROPN
ejpam-6656	382	19	e.	e.	PROPN
ejpam-6656	382	20	mohamed	mohamed	PROPN
ejpam-6656	382	21	.	.	PUNCT
ejpam-6656	383	1	an	an	DET
ejpam-6656	383	2	efficient	efficient	ADJ
ejpam-6656	383	3	stress	stress	NOUN
ejpam-6656	383	4	–	–	PUNCT
ejpam-6656	383	5	strength	strength	NOUN
ejpam-6656	383	6	reliability	reliability	NOUN
ejpam-6656	383	7	estimate	estimate	NOUN
ejpam-6656	383	8	of	of	ADP
ejpam-6656	383	9	the	the	DET
ejpam-6656	383	10	unit	unit	NOUN
ejpam-6656	383	11	gompertz	gompertz	NOUN
ejpam-6656	383	12	distribution	distribution	NOUN
ejpam-6656	383	13	using	use	VERB
ejpam-6656	383	14	ranked	rank	VERB
ejpam-6656	383	15	set	set	ADJ
ejpam-6656	383	16	sampling	sampling	NOUN
ejpam-6656	383	17	.	.	PUNCT
ejpam-6656	384	1	symmetry	symmetry	NOUN
ejpam-6656	384	2	,	,	PUNCT
ejpam-6656	384	3	15(5):1121	15(5):1121	NUM
ejpam-6656	384	4	,	,	PUNCT
ejpam-6656	384	5	2023	2023	NUM
ejpam-6656	384	6	.	.	PUNCT
ejpam-6656	385	1	[	[	X
ejpam-6656	385	2	4	4	X
ejpam-6656	385	3	]	]	PUNCT
ejpam-6656	385	4	m.	m.	NOUN
ejpam-6656	385	5	el	el	PROPN
ejpam-6656	385	6	-	-	PUNCT
ejpam-6656	385	7	morshedy	morshedy	PROPN
ejpam-6656	385	8	,	,	PUNCT
ejpam-6656	385	9	m.	m.	NOUN
ejpam-6656	385	10	s.	s.	PROPN
ejpam-6656	385	11	eliwa	eliwa	PROPN
ejpam-6656	385	12	,	,	PUNCT
ejpam-6656	385	13	a.	a.	PROPN
ejpam-6656	385	14	el	el	PROPN
ejpam-6656	385	15	-	-	NOUN
ejpam-6656	385	16	gohary	gohary	NOUN
ejpam-6656	385	17	,	,	PUNCT
ejpam-6656	385	18	and	and	CCONJ
ejpam-6656	385	19	a.	a.	NOUN
ejpam-6656	385	20	a.	a.	PROPN
ejpam-6656	385	21	khalil	khalil	PROPN
ejpam-6656	385	22	.	.	PUNCT
ejpam-6656	386	1	bivariate	bivariate	ADJ
ejpam-6656	386	2	exponentiated	exponentiated	ADJ
ejpam-6656	386	3	discrete	discrete	ADJ
ejpam-6656	386	4	weibull	weibull	NOUN
ejpam-6656	386	5	distribution	distribution	NOUN
ejpam-6656	386	6	:	:	PUNCT
ejpam-6656	386	7	statistical	statistical	ADJ
ejpam-6656	386	8	properties	property	NOUN
ejpam-6656	386	9	,	,	PUNCT
ejpam-6656	386	10	estimation	estimation	NOUN
ejpam-6656	386	11	,	,	PUNCT
ejpam-6656	386	12	simulation	simulation	NOUN
ejpam-6656	386	13	,	,	PUNCT
ejpam-6656	386	14	and	and	CCONJ
ejpam-6656	386	15	applications	application	NOUN
ejpam-6656	386	16	.	.	PUNCT
ejpam-6656	387	1	mathematical	mathematical	ADJ
ejpam-6656	387	2	sciences	sciences	PROPN
ejpam-6656	387	3	,	,	PUNCT
ejpam-6656	387	4	14(1):29–42	14(1):29–42	NUM
ejpam-6656	387	5	,	,	PUNCT
ejpam-6656	387	6	2020	2020	NUM
ejpam-6656	387	7	.	.	PUNCT
ejpam-6656	388	1	[	[	X
ejpam-6656	388	2	5	5	NUM
ejpam-6656	388	3	]	]	PUNCT
ejpam-6656	388	4	m.	m.	NOUN
ejpam-6656	388	5	el	el	PROPN
ejpam-6656	388	6	-	-	PUNCT
ejpam-6656	388	7	morshedy	morshedy	PROPN
ejpam-6656	388	8	,	,	PUNCT
ejpam-6656	388	9	m.	m.	NOUN
ejpam-6656	388	10	s.	s.	PROPN
ejpam-6656	388	11	eliwa	eliwa	PROPN
ejpam-6656	388	12	,	,	PUNCT
ejpam-6656	388	13	and	and	CCONJ
ejpam-6656	388	14	a.	a.	NOUN
ejpam-6656	388	15	tyagi	tyagi	PROPN
ejpam-6656	388	16	.	.	PUNCT
ejpam-6656	389	1	a	a	DET
ejpam-6656	389	2	discrete	discrete	ADJ
ejpam-6656	389	3	analogue	analogue	NOUN
ejpam-6656	389	4	of	of	ADP
ejpam-6656	389	5	odd	odd	ADJ
ejpam-6656	389	6	weibull	weibull	PROPN
ejpam-6656	389	7	-	-	PUNCT
ejpam-6656	389	8	g	g	PROPN
ejpam-6656	389	9	family	family	NOUN
ejpam-6656	389	10	of	of	ADP
ejpam-6656	389	11	distributions	distribution	NOUN
ejpam-6656	389	12	:	:	PUNCT
ejpam-6656	389	13	properties	property	NOUN
ejpam-6656	389	14	,	,	PUNCT
ejpam-6656	389	15	classical	classical	ADJ
ejpam-6656	389	16	and	and	CCONJ
ejpam-6656	389	17	bayesian	bayesian	NOUN
ejpam-6656	389	18	estimation	estimation	NOUN
ejpam-6656	389	19	with	with	ADP
ejpam-6656	389	20	applications	application	NOUN
ejpam-6656	389	21	to	to	PART
ejpam-6656	389	22	count	count	VERB
ejpam-6656	389	23	data	datum	NOUN
ejpam-6656	389	24	.	.	PUNCT
ejpam-6656	390	1	journal	journal	PROPN
ejpam-6656	390	2	of	of	ADP
ejpam-6656	390	3	applied	applied	ADJ
ejpam-6656	390	4	statistics	statistic	NOUN
ejpam-6656	390	5	,	,	PUNCT
ejpam-6656	390	6	49(11):2928–2952	49(11):2928–2952	NOUN
ejpam-6656	390	7	,	,	PUNCT
ejpam-6656	390	8	2021	2021	NUM
ejpam-6656	390	9	.	.	PUNCT
ejpam-6656	391	1	[	[	X
ejpam-6656	391	2	6	6	NUM
ejpam-6656	391	3	]	]	PUNCT
ejpam-6656	391	4	m.	m.	NOUN
ejpam-6656	391	5	s.	s.	PROPN
ejpam-6656	391	6	eliwa	eliwa	PROPN
ejpam-6656	391	7	and	and	CCONJ
ejpam-6656	391	8	m.	m.	PROPN
ejpam-6656	391	9	el	el	PROPN
ejpam-6656	391	10	-	-	PUNCT
ejpam-6656	391	11	morshedy	morshedy	PROPN
ejpam-6656	391	12	.	.	PUNCT
ejpam-6656	392	1	bivariate	bivariate	ADJ
ejpam-6656	392	2	odd	odd	ADJ
ejpam-6656	392	3	weibull	weibull	PROPN
ejpam-6656	392	4	-	-	PUNCT
ejpam-6656	392	5	g	g	PROPN
ejpam-6656	392	6	family	family	NOUN
ejpam-6656	392	7	of	of	ADP
ejpam-6656	392	8	distributions	distribution	NOUN
ejpam-6656	392	9	:	:	PUNCT
ejpam-6656	392	10	properties	property	NOUN
ejpam-6656	392	11	,	,	PUNCT
ejpam-6656	392	12	bayesian	bayesian	NOUN
ejpam-6656	392	13	and	and	CCONJ
ejpam-6656	392	14	non	non	ADJ
ejpam-6656	392	15	-	-	ADJ
ejpam-6656	392	16	bayesian	bayesian	ADJ
ejpam-6656	392	17	estimation	estimation	NOUN
ejpam-6656	392	18	with	with	ADP
ejpam-6656	392	19	bootstrap	bootstrap	NOUN
ejpam-6656	392	20	confidence	confidence	NOUN
ejpam-6656	392	21	intervals	interval	NOUN
ejpam-6656	392	22	and	and	CCONJ
ejpam-6656	392	23	application	application	NOUN
ejpam-6656	392	24	.	.	PUNCT
ejpam-6656	393	1	journal	journal	PROPN
ejpam-6656	393	2	of	of	ADP
ejpam-6656	393	3	taibah	taibah	PROPN
ejpam-6656	393	4	university	university	PROPN
ejpam-6656	393	5	science	science	NOUN
ejpam-6656	393	6	,	,	PUNCT
ejpam-6656	393	7	14(3):331–345	14(3):331–345	PROPN
ejpam-6656	393	8	,	,	PUNCT
ejpam-6656	393	9	2020	2020	NUM
ejpam-6656	393	10	.	.	PUNCT
ejpam-6656	394	1	[	[	X
ejpam-6656	394	2	7	7	X
ejpam-6656	394	3	]	]	X
ejpam-6656	394	4	m.	m.	NOUN
ejpam-6656	394	5	ç.	ç.	ADP
ejpam-6656	394	6	korkmaz	korkmaz	PROPN
ejpam-6656	394	7	,	,	PUNCT
ejpam-6656	394	8	e.	e.	PROPN
ejpam-6656	394	9	altun	altun	PROPN
ejpam-6656	394	10	,	,	PUNCT
ejpam-6656	394	11	m.	m.	NOUN
ejpam-6656	394	12	alizadeh	alizadeh	NOUN
ejpam-6656	394	13	,	,	PUNCT
ejpam-6656	394	14	and	and	CCONJ
ejpam-6656	394	15	m.	m.	PROPN
ejpam-6656	394	16	el	el	PROPN
ejpam-6656	394	17	-	-	PUNCT
ejpam-6656	394	18	morshedy	morshedy	PROPN
ejpam-6656	394	19	.	.	PUNCT
ejpam-6656	395	1	the	the	DET
ejpam-6656	395	2	log	log	NOUN
ejpam-6656	395	3	exponentialpower	exponentialpower	NOUN
ejpam-6656	395	4	distribution	distribution	NOUN
ejpam-6656	395	5	:	:	PUNCT
ejpam-6656	395	6	properties	property	NOUN
ejpam-6656	395	7	,	,	PUNCT
ejpam-6656	395	8	estimations	estimation	NOUN
ejpam-6656	395	9	and	and	CCONJ
ejpam-6656	395	10	quantile	quantile	ADJ
ejpam-6656	395	11	regression	regression	NOUN
ejpam-6656	395	12	model	model	NOUN
ejpam-6656	395	13	.	.	PUNCT
ejpam-6656	396	1	mathematics	mathematic	NOUN
ejpam-6656	396	2	,	,	PUNCT
ejpam-6656	396	3	9(21):2634	9(21):2634	NUM
ejpam-6656	396	4	,	,	PUNCT
ejpam-6656	396	5	2021	2021	NUM
ejpam-6656	396	6	.	.	PUNCT
ejpam-6656	397	1	[	[	X
ejpam-6656	397	2	8	8	NUM
ejpam-6656	397	3	]	]	X
ejpam-6656	397	4	f.	f.	PROPN
ejpam-6656	397	5	willayat	willayat	PROPN
ejpam-6656	397	6	,	,	PUNCT
ejpam-6656	397	7	n.	n.	PROPN
ejpam-6656	397	8	saud	saud	PROPN
ejpam-6656	397	9	,	,	PUNCT
ejpam-6656	397	10	m.	m.	PROPN
ejpam-6656	397	11	ijaz	ijaz	PROPN
ejpam-6656	397	12	,	,	PUNCT
ejpam-6656	397	13	a.	a.	NOUN
ejpam-6656	397	14	silvianita	silvianita	PROPN
ejpam-6656	397	15	,	,	PUNCT
ejpam-6656	397	16	and	and	CCONJ
ejpam-6656	397	17	m.	m.	PROPN
ejpam-6656	397	18	el	el	PROPN
ejpam-6656	397	19	-	-	PUNCT
ejpam-6656	397	20	morshedy	morshedy	PROPN
ejpam-6656	397	21	.	.	PUNCT
ejpam-6656	398	1	marshall	marshall	PROPN
ejpam-6656	398	2	–	–	PUNCT
ejpam-6656	398	3	olkin	olkin	NOUN
ejpam-6656	398	4	extended	extend	VERB
ejpam-6656	398	5	gumbel	gumbel	NOUN
ejpam-6656	398	6	type	type	NOUN
ejpam-6656	398	7	-	-	PUNCT
ejpam-6656	398	8	ii	ii	NOUN
ejpam-6656	398	9	distribution	distribution	NOUN
ejpam-6656	398	10	:	:	PUNCT
ejpam-6656	398	11	properties	property	NOUN
ejpam-6656	398	12	and	and	CCONJ
ejpam-6656	398	13	applications	application	NOUN
ejpam-6656	398	14	.	.	PUNCT
ejpam-6656	399	1	complexity	complexity	NOUN
ejpam-6656	399	2	,	,	PUNCT
ejpam-6656	399	3	2022	2022	NUM
ejpam-6656	399	4	:	:	PUNCT
ejpam-6656	399	5	article	article	NOUN
ejpam-6656	399	6	i	i	PROPN
ejpam-6656	399	7	d	d	PROPN
ejpam-6656	399	8	2219570	2219570	NUM
ejpam-6656	399	9	,	,	PUNCT
ejpam-6656	399	10	2022	2022	NUM
ejpam-6656	399	11	.	.	PUNCT
ejpam-6656	400	1	[	[	X
ejpam-6656	400	2	9	9	NUM
ejpam-6656	400	3	]	]	PUNCT
ejpam-6656	400	4	s.	s.	PROPN
ejpam-6656	400	5	m.	m.	PROPN
ejpam-6656	400	6	zaidi	zaidi	PROPN
ejpam-6656	400	7	,	,	PUNCT
ejpam-6656	400	8	m.	m.	NOUN
ejpam-6656	400	9	m.	m.	NOUN
ejpam-6656	400	10	al	al	PROPN
ejpam-6656	400	11	sobhi	sobhi	PROPN
ejpam-6656	400	12	,	,	PUNCT
ejpam-6656	400	13	m.	m.	PROPN
ejpam-6656	400	14	el	el	PROPN
ejpam-6656	400	15	-	-	PUNCT
ejpam-6656	400	16	morshedy	morshedy	PROPN
ejpam-6656	400	17	,	,	PUNCT
ejpam-6656	400	18	and	and	CCONJ
ejpam-6656	400	19	a.	a.	NOUN
ejpam-6656	400	20	z.	z.	PROPN
ejpam-6656	400	21	afify	afify	VERB
ejpam-6656	400	22	.	.	PUNCT
ejpam-6656	401	1	a	a	DET
ejpam-6656	401	2	new	new	ADJ
ejpam-6656	401	3	generalized	generalized	ADJ
ejpam-6656	401	4	family	family	NOUN
ejpam-6656	401	5	of	of	ADP
ejpam-6656	401	6	distributions	distribution	NOUN
ejpam-6656	401	7	:	:	PUNCT
ejpam-6656	401	8	properties	property	NOUN
ejpam-6656	401	9	and	and	CCONJ
ejpam-6656	401	10	applications	application	NOUN
ejpam-6656	401	11	.	.	PUNCT
ejpam-6656	402	1	aims	aim	VERB
ejpam-6656	402	2	mathematics	mathematic	NOUN
ejpam-6656	402	3	,	,	PUNCT
ejpam-6656	402	4	6(1):456	6(1):456	NUM
ejpam-6656	402	5	–	–	PUNCT
ejpam-6656	402	6	476	476	NUM
ejpam-6656	402	7	,	,	PUNCT
ejpam-6656	402	8	2021	2021	NUM
ejpam-6656	402	9	.	.	PUNCT
ejpam-6656	403	1	[	[	X
ejpam-6656	403	2	10	10	NUM
ejpam-6656	403	3	]	]	X
ejpam-6656	403	4	a.	a.	NOUN
ejpam-6656	403	5	flaih	flaih	PROPN
ejpam-6656	403	6	,	,	PUNCT
ejpam-6656	403	7	h.	h.	PROPN
ejpam-6656	403	8	elsalloukh	elsalloukh	PROPN
ejpam-6656	403	9	,	,	PUNCT
ejpam-6656	403	10	e.	e.	PROPN
ejpam-6656	403	11	mendi	mendi	PROPN
ejpam-6656	403	12	,	,	PUNCT
ejpam-6656	403	13	and	and	CCONJ
ejpam-6656	403	14	m.	m.	NOUN
ejpam-6656	403	15	milanova	milanova	PROPN
ejpam-6656	403	16	.	.	PUNCT
ejpam-6656	404	1	the	the	DET
ejpam-6656	404	2	exponentiated	exponentiated	PROPN
ejpam-6656	404	3	inverted	invert	VERB
ejpam-6656	404	4	weibull	weibull	NOUN
ejpam-6656	404	5	distribution	distribution	NOUN
ejpam-6656	404	6	.	.	PUNCT
ejpam-6656	405	1	applied	apply	VERB
ejpam-6656	405	2	mathematics	mathematic	NOUN
ejpam-6656	405	3	and	and	CCONJ
ejpam-6656	405	4	information	information	NOUN
ejpam-6656	405	5	sciences	science	NOUN
ejpam-6656	405	6	,	,	PUNCT
ejpam-6656	405	7	6(2):167–171	6(2):167–171	NUM
ejpam-6656	405	8	,	,	PUNCT
ejpam-6656	405	9	2012	2012	NUM
ejpam-6656	405	10	.	.	PUNCT
ejpam-6656	406	1	[	[	X
ejpam-6656	406	2	11	11	NUM
ejpam-6656	406	3	]	]	PUNCT
ejpam-6656	406	4	a.	a.	NOUN
ejpam-6656	406	5	aljuaid	aljuaid	PROPN
ejpam-6656	406	6	.	.	PUNCT
ejpam-6656	407	1	estimating	estimate	VERB
ejpam-6656	407	2	the	the	DET
ejpam-6656	407	3	parameters	parameter	NOUN
ejpam-6656	407	4	of	of	ADP
ejpam-6656	407	5	an	an	DET
ejpam-6656	407	6	exponentiated	exponentiated	ADJ
ejpam-6656	407	7	inverted	invert	VERB
ejpam-6656	407	8	weibull	weibull	NOUN
ejpam-6656	407	9	distribution	distribution	NOUN
ejpam-6656	407	10	under	under	ADP
ejpam-6656	407	11	type	type	NOUN
ejpam-6656	407	12	-	-	PUNCT
ejpam-6656	407	13	ii	ii	NOUN
ejpam-6656	407	14	censoring	censoring	NOUN
ejpam-6656	407	15	.	.	PUNCT
ejpam-6656	408	1	applied	apply	VERB
ejpam-6656	408	2	mathematical	mathematical	ADJ
ejpam-6656	408	3	sciences	science	NOUN
ejpam-6656	408	4	,	,	PUNCT
ejpam-6656	408	5	7(35):1721–1736	7(35):1721–1736	NUM
ejpam-6656	408	6	,	,	PUNCT
ejpam-6656	408	7	2013	2013	NUM
ejpam-6656	408	8	.	.	PUNCT
ejpam-6656	409	1	[	[	X
ejpam-6656	409	2	12	12	NUM
ejpam-6656	409	3	]	]	PUNCT
ejpam-6656	409	4	i.	i.	NOUN
ejpam-6656	409	5	elbatal	elbatal	PROPN
ejpam-6656	409	6	and	and	CCONJ
ejpam-6656	409	7	h.	h.	PROPN
ejpam-6656	409	8	z.	z.	PROPN
ejpam-6656	409	9	muhammad	muhammad	PROPN
ejpam-6656	409	10	.	.	PROPN
ejpam-6656	409	11	exponentiated	exponentiate	VERB
ejpam-6656	409	12	generalized	generalized	ADJ
ejpam-6656	409	13	inverse	inverse	ADJ
ejpam-6656	409	14	weibull	weibull	NOUN
ejpam-6656	409	15	distribution	distribution	NOUN
ejpam-6656	409	16	.	.	PUNCT
ejpam-6656	410	1	applied	apply	VERB
ejpam-6656	410	2	mathematical	mathematical	ADJ
ejpam-6656	410	3	sciences	science	NOUN
ejpam-6656	410	4	,	,	PUNCT
ejpam-6656	410	5	8(81):3997–4012	8(81):3997–4012	NUM
ejpam-6656	410	6	,	,	PUNCT
ejpam-6656	410	7	2014	2014	NUM
ejpam-6656	410	8	.	.	PUNCT
ejpam-6656	411	1	[	[	X
ejpam-6656	411	2	13	13	NUM
ejpam-6656	411	3	]	]	PUNCT
ejpam-6656	411	4	a.	a.	NOUN
ejpam-6656	411	5	s.	s.	PROPN
ejpam-6656	411	6	hassan	hassan	PROPN
ejpam-6656	411	7	,	,	PUNCT
ejpam-6656	411	8	a.	a.	PROPN
ejpam-6656	411	9	a.	a.	PROPN
ejpam-6656	411	10	marwa	marwa	PROPN
ejpam-6656	411	11	,	,	PUNCT
ejpam-6656	411	12	h.	h.	PROPN
ejpam-6656	411	13	zaher	zaher	PROPN
ejpam-6656	411	14	,	,	PUNCT
ejpam-6656	411	15	and	and	CCONJ
ejpam-6656	411	16	e.	e.	PROPN
ejpam-6656	411	17	a.	a.	PROPN
ejpam-6656	411	18	elsherpieny	elsherpieny	PROPN
ejpam-6656	411	19	.	.	PUNCT
ejpam-6656	412	1	comparison	comparison	NOUN
ejpam-6656	412	2	of	of	ADP
ejpam-6656	412	3	estimators	estimator	NOUN
ejpam-6656	412	4	for	for	ADP
ejpam-6656	412	5	exponentiated	exponentiated	ADJ
ejpam-6656	412	6	inverted	invert	VERB
ejpam-6656	412	7	weibull	weibull	NOUN
ejpam-6656	412	8	distribution	distribution	NOUN
ejpam-6656	412	9	based	base	VERB
ejpam-6656	412	10	on	on	ADP
ejpam-6656	412	11	grouped	group	VERB
ejpam-6656	412	12	data	data	PROPN
ejpam-6656	412	13	.	.	PUNCT
ejpam-6656	413	1	international	international	ADJ
ejpam-6656	413	2	journal	journal	PROPN
ejpam-6656	413	3	of	of	ADP
ejpam-6656	413	4	engineering	engineering	NOUN
ejpam-6656	413	5	research	research	NOUN
ejpam-6656	413	6	and	and	CCONJ
ejpam-6656	413	7	applications	application	NOUN
ejpam-6656	413	8	,	,	PUNCT
ejpam-6656	413	9	4(1):77–90	4(1):77–90	NUM
ejpam-6656	413	10	,	,	PUNCT
ejpam-6656	413	11	2014	2014	NUM
ejpam-6656	413	12	.	.	PUNCT
ejpam-6656	414	1	[	[	X
ejpam-6656	414	2	14	14	NUM
ejpam-6656	414	3	]	]	PUNCT
ejpam-6656	414	4	a.	a.	NOUN
ejpam-6656	414	5	saghir	saghir	PROPN
ejpam-6656	414	6	,	,	PUNCT
ejpam-6656	414	7	s.	s.	PROPN
ejpam-6656	414	8	tazeem	tazeem	PROPN
ejpam-6656	414	9	,	,	PUNCT
ejpam-6656	414	10	and	and	CCONJ
ejpam-6656	414	11	i.	i.	PROPN
ejpam-6656	414	12	ahmad	ahmad	PROPN
ejpam-6656	414	13	.	.	PUNCT
ejpam-6656	415	1	the	the	DET
ejpam-6656	415	2	weighted	weight	VERB
ejpam-6656	415	3	exponentiated	exponentiate	VERB
ejpam-6656	415	4	inverted	invert	VERB
ejpam-6656	415	5	weibull	weibull	NOUN
ejpam-6656	415	6	distribution	distribution	NOUN
ejpam-6656	415	7	:	:	PUNCT
ejpam-6656	415	8	properties	property	NOUN
ejpam-6656	415	9	and	and	CCONJ
ejpam-6656	415	10	application	application	NOUN
ejpam-6656	415	11	.	.	PUNCT
ejpam-6656	416	1	journal	journal	PROPN
ejpam-6656	416	2	of	of	ADP
ejpam-6656	416	3	informatics	informatics	PROPN
ejpam-6656	416	4	and	and	CCONJ
ejpam-6656	416	5	mathematical	mathematical	ADJ
ejpam-6656	416	6	sciences	science	NOUN
ejpam-6656	416	7	,	,	PUNCT
ejpam-6656	416	8	9(1):137–151	9(1):137–151	NUM
ejpam-6656	416	9	,	,	PUNCT
ejpam-6656	416	10	2017	2017	NUM
ejpam-6656	416	11	.	.	PUNCT
ejpam-6656	417	1	[	[	X
ejpam-6656	417	2	15	15	NUM
ejpam-6656	417	3	]	]	X
ejpam-6656	417	4	j.	j.	PROPN
ejpam-6656	417	5	saran	saran	PROPN
ejpam-6656	417	6	,	,	PUNCT
ejpam-6656	417	7	n.	n.	NOUN
ejpam-6656	417	8	pushkarna	pushkarna	NOUN
ejpam-6656	417	9	,	,	PUNCT
ejpam-6656	417	10	and	and	CCONJ
ejpam-6656	417	11	k.	k.	PROPN
ejpam-6656	417	12	verma	verma	PROPN
ejpam-6656	417	13	.	.	PUNCT
ejpam-6656	418	1	on	on	ADP
ejpam-6656	418	2	the	the	DET
ejpam-6656	418	3	record	record	NOUN
ejpam-6656	418	4	values	value	NOUN
ejpam-6656	418	5	and	and	CCONJ
ejpam-6656	418	6	its	its	PRON
ejpam-6656	418	7	predictions	prediction	NOUN
ejpam-6656	418	8	u.	u.	VERB
ejpam-6656	418	9	deka	deka	PROPN
ejpam-6656	418	10	et	et	PROPN
ejpam-6656	418	11	al	al	PROPN
ejpam-6656	418	12	.	.	PUNCT
ejpam-6656	418	13	/	/	SYM
ejpam-6656	418	14	eur	eur	PROPN
ejpam-6656	418	15	.	.	PUNCT
ejpam-6656	419	1	j.	j.	PROPN
ejpam-6656	419	2	pure	pure	PROPN
ejpam-6656	419	3	appl	appl	PROPN
ejpam-6656	419	4	.	.	PROPN
ejpam-6656	419	5	math	math	PROPN
ejpam-6656	419	6	,	,	PUNCT
ejpam-6656	419	7	18	18	NUM
ejpam-6656	419	8	(	(	PUNCT
ejpam-6656	419	9	4	4	NUM
ejpam-6656	419	10	)	)	PUNCT
ejpam-6656	419	11	(	(	PUNCT
ejpam-6656	419	12	2025	2025	NUM
ejpam-6656	419	13	)	)	PUNCT
ejpam-6656	419	14	,	,	PUNCT
ejpam-6656	419	15	6656	6656	NUM
ejpam-6656	419	16	18	18	NUM
ejpam-6656	419	17	of	of	ADP
ejpam-6656	419	18	18	18	NUM
ejpam-6656	419	19	from	from	ADP
ejpam-6656	419	20	exponentiated	exponentiated	ADJ
ejpam-6656	419	21	inverted	invert	VERB
ejpam-6656	419	22	weibull	weibull	NOUN
ejpam-6656	419	23	distribution	distribution	NOUN
ejpam-6656	419	24	and	and	CCONJ
ejpam-6656	419	25	associated	associated	ADJ
ejpam-6656	419	26	inference	inference	NOUN
ejpam-6656	419	27	.	.	PUNCT
ejpam-6656	420	1	journal	journal	PROPN
ejpam-6656	420	2	of	of	ADP
ejpam-6656	420	3	statistics	statistic	NOUN
ejpam-6656	420	4	and	and	CCONJ
ejpam-6656	420	5	management	management	NOUN
ejpam-6656	420	6	systems	system	NOUN
ejpam-6656	420	7	,	,	PUNCT
ejpam-6656	420	8	25(2):347–368	25(2):347–368	PROPN
ejpam-6656	420	9	,	,	PUNCT
ejpam-6656	420	10	2021	2021	NUM
ejpam-6656	420	11	.	.	PUNCT
ejpam-6656	421	1	[	[	X
ejpam-6656	421	2	16	16	NUM
ejpam-6656	421	3	]	]	X
ejpam-6656	421	4	u.	u.	PROPN
ejpam-6656	421	5	deka	deka	PROPN
ejpam-6656	421	6	,	,	PUNCT
ejpam-6656	421	7	b.	b.	PROPN
ejpam-6656	421	8	das	das	PROPN
ejpam-6656	421	9	,	,	PUNCT
ejpam-6656	421	10	and	and	CCONJ
ejpam-6656	421	11	d.	d.	PROPN
ejpam-6656	421	12	deka	deka	PROPN
ejpam-6656	421	13	.	.	PUNCT
ejpam-6656	422	1	concomitants	concomitant	NOUN
ejpam-6656	422	2	of	of	ADP
ejpam-6656	422	3	order	order	NOUN
ejpam-6656	422	4	statistics	statistic	NOUN
ejpam-6656	422	5	for	for	ADP
ejpam-6656	422	6	bivariate	bivariate	ADJ
ejpam-6656	422	7	exponentiated	exponentiate	VERB
ejpam-6656	422	8	inverted	invert	VERB
ejpam-6656	422	9	weibull	weibull	NOUN
ejpam-6656	422	10	distribution	distribution	NOUN
ejpam-6656	422	11	.	.	PUNCT
ejpam-6656	423	1	journal	journal	PROPN
ejpam-6656	423	2	of	of	ADP
ejpam-6656	423	3	mathematical	mathematical	ADJ
ejpam-6656	423	4	and	and	CCONJ
ejpam-6656	423	5	computational	computational	ADJ
ejpam-6656	423	6	science	science	NOUN
ejpam-6656	423	7	,	,	PUNCT
ejpam-6656	423	8	11(5):6444–6467	11(5):6444–6467	NUM
ejpam-6656	423	9	,	,	PUNCT
ejpam-6656	423	10	2021	2021	NUM
ejpam-6656	423	11	.	.	PUNCT
ejpam-6656	424	1	[	[	X
ejpam-6656	424	2	17	17	NUM
ejpam-6656	424	3	]	]	X
ejpam-6656	424	4	g.	g.	PROPN
ejpam-6656	424	5	mcintyre	mcintyre	PROPN
ejpam-6656	424	6	.	.	PUNCT
ejpam-6656	425	1	a	a	DET
ejpam-6656	425	2	method	method	NOUN
ejpam-6656	425	3	for	for	ADP
ejpam-6656	425	4	unbiased	unbiased	ADJ
ejpam-6656	425	5	selective	selective	ADJ
ejpam-6656	425	6	sampling	sampling	NOUN
ejpam-6656	425	7	,	,	PUNCT
ejpam-6656	425	8	using	use	VERB
ejpam-6656	425	9	ranked	rank	VERB
ejpam-6656	425	10	sets	set	NOUN
ejpam-6656	425	11	.	.	PUNCT
ejpam-6656	426	1	australian	australian	ADJ
ejpam-6656	426	2	journal	journal	NOUN
ejpam-6656	426	3	of	of	ADP
ejpam-6656	426	4	agricultural	agricultural	ADJ
ejpam-6656	426	5	research	research	NOUN
ejpam-6656	426	6	,	,	PUNCT
ejpam-6656	426	7	3(4):385–390	3(4):385–390	NUM
ejpam-6656	426	8	,	,	PUNCT
ejpam-6656	426	9	1952	1952	NUM
ejpam-6656	426	10	.	.	PUNCT
ejpam-6656	427	1	[	[	X
ejpam-6656	427	2	18	18	NUM
ejpam-6656	427	3	]	]	PUNCT
ejpam-6656	427	4	s.	s.	PROPN
ejpam-6656	427	5	l.	l.	PROPN
ejpam-6656	427	6	stokes	stokes	PROPN
ejpam-6656	427	7	.	.	PUNCT
ejpam-6656	428	1	ranked	rank	VERB
ejpam-6656	428	2	set	set	ADJ
ejpam-6656	428	3	sampling	sample	VERB
ejpam-6656	428	4	with	with	ADP
ejpam-6656	428	5	concomitant	concomitant	ADJ
ejpam-6656	428	6	variables	variable	NOUN
ejpam-6656	428	7	.	.	PUNCT
ejpam-6656	429	1	communications	communication	NOUN
ejpam-6656	429	2	in	in	ADP
ejpam-6656	429	3	statistics	statistic	NOUN
ejpam-6656	429	4	–	–	PUNCT
ejpam-6656	429	5	theory	theory	NOUN
ejpam-6656	429	6	and	and	CCONJ
ejpam-6656	429	7	methods	method	NOUN
ejpam-6656	429	8	,	,	PUNCT
ejpam-6656	429	9	6(12):1207–1211	6(12):1207–1211	NUM
ejpam-6656	429	10	,	,	PUNCT
ejpam-6656	429	11	1977	1977	NUM
ejpam-6656	429	12	.	.	PUNCT
ejpam-6656	430	1	[	[	X
ejpam-6656	430	2	19	19	NUM
ejpam-6656	430	3	]	]	X
ejpam-6656	430	4	h.	h.	PROPN
ejpam-6656	430	5	m.	m.	PROPN
ejpam-6656	430	6	aljohani	aljohani	PROPN
ejpam-6656	430	7	,	,	PUNCT
ejpam-6656	430	8	e.	e.	PROPN
ejpam-6656	430	9	m.	m.	PROPN
ejpam-6656	430	10	almetwally	almetwally	ADV
ejpam-6656	430	11	,	,	PUNCT
ejpam-6656	430	12	a.	a.	PROPN
ejpam-6656	430	13	s.	s.	PROPN
ejpam-6656	430	14	alghamdi	alghamdi	PROPN
ejpam-6656	430	15	,	,	PUNCT
ejpam-6656	430	16	and	and	CCONJ
ejpam-6656	430	17	e.	e.	PROPN
ejpam-6656	430	18	h.	h.	PROPN
ejpam-6656	430	19	hafez	hafez	PROPN
ejpam-6656	430	20	.	.	PUNCT
ejpam-6656	431	1	ranked	rank	VERB
ejpam-6656	431	2	set	set	ADJ
ejpam-6656	431	3	sampling	sample	VERB
ejpam-6656	431	4	with	with	ADP
ejpam-6656	431	5	application	application	NOUN
ejpam-6656	431	6	of	of	ADP
ejpam-6656	431	7	modified	modify	VERB
ejpam-6656	431	8	kies	ky	NOUN
ejpam-6656	431	9	exponential	exponential	ADJ
ejpam-6656	431	10	distribution	distribution	NOUN
ejpam-6656	431	11	.	.	PUNCT
ejpam-6656	432	1	alexandria	alexandria	PROPN
ejpam-6656	432	2	engineering	engineering	PROPN
ejpam-6656	432	3	journal	journal	PROPN
ejpam-6656	432	4	,	,	PUNCT
ejpam-6656	432	5	60(4):4041–4046	60(4):4041–4046	NUM
ejpam-6656	432	6	,	,	PUNCT
ejpam-6656	432	7	2021	2021	NUM
ejpam-6656	432	8	.	.	PUNCT
ejpam-6656	433	1	[	[	X
ejpam-6656	433	2	20	20	NUM
ejpam-6656	433	3	]	]	X
ejpam-6656	433	4	hassan	hassan	PROPN
ejpam-6656	433	5	,	,	PUNCT
ejpam-6656	433	6	d.	d.	PROPN
ejpam-6656	433	7	s.	s.	PROPN
ejpam-6656	433	8	metwally	metwally	ADV
ejpam-6656	433	9	,	,	PUNCT
ejpam-6656	433	10	h.	h.	PROPN
ejpam-6656	433	11	e.	e.	PROPN
ejpam-6656	433	12	semary	semary	PROPN
ejpam-6656	433	13	,	,	PUNCT
ejpam-6656	433	14	s.	s.	PROPN
ejpam-6656	433	15	a.	a.	PROPN
ejpam-6656	433	16	benchiha	benchiha	PROPN
ejpam-6656	433	17	,	,	PUNCT
ejpam-6656	433	18	a.	a.	NOUN
ejpam-6656	433	19	m.	m.	NOUN
ejpam-6656	433	20	gemeay	gemeay	NOUN
ejpam-6656	433	21	,	,	PUNCT
ejpam-6656	433	22	and	and	CCONJ
ejpam-6656	433	23	m.	m.	NOUN
ejpam-6656	433	24	elgarhy	elgarhy	PROPN
ejpam-6656	433	25	.	.	PUNCT
ejpam-6656	434	1	improved	improved	ADJ
ejpam-6656	434	2	estimation	estimation	NOUN
ejpam-6656	434	3	based	base	VERB
ejpam-6656	434	4	on	on	ADP
ejpam-6656	434	5	ranked	rank	VERB
ejpam-6656	434	6	set	set	ADJ
ejpam-6656	434	7	sampling	sampling	NOUN
ejpam-6656	434	8	for	for	ADP
ejpam-6656	434	9	the	the	DET
ejpam-6656	434	10	chris	chris	PROPN
ejpam-6656	434	11	-	-	PUNCT
ejpam-6656	434	12	jerry	jerry	PROPN
ejpam-6656	434	13	distribution	distribution	NOUN
ejpam-6656	434	14	with	with	ADP
ejpam-6656	434	15	application	application	NOUN
ejpam-6656	434	16	to	to	ADP
ejpam-6656	434	17	engineering	engineering	NOUN
ejpam-6656	434	18	data	datum	NOUN
ejpam-6656	434	19	.	.	PUNCT
ejpam-6656	435	1	computational	computational	ADJ
ejpam-6656	435	2	journal	journal	NOUN
ejpam-6656	435	3	of	of	ADP
ejpam-6656	435	4	mathematical	mathematical	ADJ
ejpam-6656	435	5	and	and	CCONJ
ejpam-6656	435	6	statistical	statistical	ADJ
ejpam-6656	435	7	sciences	science	NOUN
ejpam-6656	435	8	,	,	PUNCT
ejpam-6656	435	9	2025	2025	NUM
ejpam-6656	435	10	.	.	PUNCT
ejpam-6656	436	1	in	in	ADP
ejpam-6656	436	2	press	press	NOUN
ejpam-6656	436	3	.	.	PUNCT
ejpam-6656	437	1	[	[	X
ejpam-6656	437	2	21	21	NUM
ejpam-6656	437	3	]	]	X
ejpam-6656	437	4	h.	h.	PROPN
ejpam-6656	437	5	m.	m.	PROPN
ejpam-6656	437	6	samawi	samawi	PROPN
ejpam-6656	437	7	,	,	PUNCT
ejpam-6656	437	8	m.	m.	PROPN
ejpam-6656	437	9	s.	s.	PROPN
ejpam-6656	437	10	ahmed	ahmed	PROPN
ejpam-6656	437	11	,	,	PUNCT
ejpam-6656	437	12	and	and	CCONJ
ejpam-6656	437	13	w.	w.	PROPN
ejpam-6656	437	14	a.	a.	PROPN
ejpam-6656	437	15	abu	abu	PROPN
ejpam-6656	437	16	-	-	PUNCT
ejpam-6656	437	17	dayyeh	dayyeh	NOUN
ejpam-6656	437	18	.	.	PUNCT
ejpam-6656	438	1	estimating	estimate	VERB
ejpam-6656	438	2	the	the	DET
ejpam-6656	438	3	population	population	NOUN
ejpam-6656	438	4	mean	mean	VERB
ejpam-6656	438	5	using	use	VERB
ejpam-6656	438	6	extreme	extreme	ADJ
ejpam-6656	438	7	ranked	rank	VERB
ejpam-6656	438	8	set	set	ADJ
ejpam-6656	438	9	sampling	sampling	NOUN
ejpam-6656	438	10	.	.	PUNCT
ejpam-6656	439	1	biometrical	biometrical	ADJ
ejpam-6656	439	2	journal	journal	PROPN
ejpam-6656	439	3	,	,	PUNCT
ejpam-6656	439	4	38(5):577–586	38(5):577–586	PROPN
ejpam-6656	439	5	,	,	PUNCT
ejpam-6656	439	6	1996	1996	NUM
ejpam-6656	439	7	.	.	PUNCT
ejpam-6656	440	1	[	[	X
ejpam-6656	440	2	22	22	NUM
ejpam-6656	440	3	]	]	PUNCT
ejpam-6656	440	4	h.	h.	PROPN
ejpam-6656	440	5	a.	a.	PROPN
ejpam-6656	440	6	muttlak	muttlak	PROPN
ejpam-6656	440	7	.	.	PUNCT
ejpam-6656	441	1	median	median	PROPN
ejpam-6656	441	2	ranked	rank	VERB
ejpam-6656	441	3	set	set	ADJ
ejpam-6656	441	4	sampling	sampling	NOUN
ejpam-6656	441	5	.	.	PUNCT
ejpam-6656	442	1	journal	journal	NOUN
ejpam-6656	442	2	of	of	ADP
ejpam-6656	442	3	applied	apply	VERB
ejpam-6656	442	4	statistical	statistical	ADJ
ejpam-6656	442	5	science	science	NOUN
ejpam-6656	442	6	,	,	PUNCT
ejpam-6656	442	7	6:245–255	6:245–255	NOUN
ejpam-6656	442	8	,	,	PUNCT
ejpam-6656	442	9	1997	1997	NUM
ejpam-6656	442	10	.	.	PUNCT
ejpam-6656	443	1	[	[	X
ejpam-6656	443	2	23	23	NUM
ejpam-6656	443	3	]	]	PUNCT
ejpam-6656	443	4	s.	s.	PROPN
ejpam-6656	443	5	dey	dey	PROPN
ejpam-6656	443	6	,	,	PUNCT
ejpam-6656	443	7	m.	m.	NOUN
ejpam-6656	443	8	salehi	salehi	NOUN
ejpam-6656	443	9	,	,	PUNCT
ejpam-6656	443	10	and	and	CCONJ
ejpam-6656	443	11	j.	j.	PROPN
ejpam-6656	443	12	ahmadi	ahmadi	PROPN
ejpam-6656	443	13	.	.	PUNCT
ejpam-6656	444	1	rayleigh	rayleigh	PROPN
ejpam-6656	444	2	distribution	distribution	NOUN
ejpam-6656	444	3	revisited	revisit	VERB
ejpam-6656	444	4	via	via	ADP
ejpam-6656	444	5	ranked	rank	VERB
ejpam-6656	444	6	set	set	ADJ
ejpam-6656	444	7	sampling	sampling	NOUN
ejpam-6656	444	8	.	.	PUNCT
ejpam-6656	445	1	metron	metron	PROPN
ejpam-6656	445	2	,	,	PUNCT
ejpam-6656	445	3	75(1):69–85	75(1):69–85	NUM
ejpam-6656	445	4	,	,	PUNCT
ejpam-6656	445	5	2017	2017	NUM
ejpam-6656	445	6	.	.	PUNCT
ejpam-6656	446	1	[	[	X
ejpam-6656	446	2	24	24	NUM
ejpam-6656	446	3	]	]	PUNCT
ejpam-6656	446	4	m.	m.	NOUN
ejpam-6656	446	5	esemen	eseman	NOUN
ejpam-6656	446	6	and	and	CCONJ
ejpam-6656	446	7	s.	s.	PROPN
ejpam-6656	446	8	gurler	gurler	PROPN
ejpam-6656	446	9	.	.	PUNCT
ejpam-6656	447	1	parameter	parameter	PROPN
ejpam-6656	447	2	estimation	estimation	NOUN
ejpam-6656	447	3	of	of	ADP
ejpam-6656	447	4	generalized	generalized	ADJ
ejpam-6656	447	5	rayleigh	rayleigh	NOUN
ejpam-6656	447	6	distribution	distribution	NOUN
ejpam-6656	447	7	based	base	VERB
ejpam-6656	447	8	on	on	ADP
ejpam-6656	447	9	ranked	rank	VERB
ejpam-6656	447	10	set	set	ADJ
ejpam-6656	447	11	sample	sample	NOUN
ejpam-6656	447	12	.	.	PUNCT
ejpam-6656	448	1	journal	journal	NOUN
ejpam-6656	448	2	of	of	ADP
ejpam-6656	448	3	statistical	statistical	ADJ
ejpam-6656	448	4	computation	computation	NOUN
ejpam-6656	448	5	and	and	CCONJ
ejpam-6656	448	6	simulation	simulation	NOUN
ejpam-6656	448	7	,	,	PUNCT
ejpam-6656	448	8	88(4):615–628	88(4):615–628	PROPN
ejpam-6656	448	9	,	,	PUNCT
ejpam-6656	448	10	2017	2017	NUM
ejpam-6656	448	11	.	.	PUNCT
ejpam-6656	449	1	[	[	X
ejpam-6656	449	2	25	25	NUM
ejpam-6656	449	3	]	]	X
ejpam-6656	449	4	r.	r.	PROPN
ejpam-6656	449	5	a.	a.	PROPN
ejpam-6656	449	6	bantan	bantan	PROPN
ejpam-6656	449	7	,	,	PUNCT
ejpam-6656	449	8	m.	m.	NOUN
ejpam-6656	449	9	elsehetry	elsehetry	PROPN
ejpam-6656	449	10	,	,	PUNCT
ejpam-6656	449	11	a.	a.	PROPN
ejpam-6656	449	12	s.	s.	PROPN
ejpam-6656	449	13	hassan	hassan	PROPN
ejpam-6656	449	14	,	,	PUNCT
ejpam-6656	449	15	m.	m.	NOUN
ejpam-6656	449	16	elgarhy	elgarhy	PROPN
ejpam-6656	449	17	,	,	PUNCT
ejpam-6656	449	18	d.	d.	PROPN
ejpam-6656	449	19	sharma	sharma	PROPN
ejpam-6656	449	20	,	,	PUNCT
ejpam-6656	449	21	f.	f.	PROPN
ejpam-6656	449	22	jamal	jamal	PROPN
ejpam-6656	449	23	,	,	PUNCT
ejpam-6656	449	24	and	and	CCONJ
ejpam-6656	449	25	ch	ch	PROPN
ejpam-6656	449	26	.	.	PROPN
ejpam-6656	449	27	chesneau	chesneau	PROPN
ejpam-6656	449	28	.	.	PUNCT
ejpam-6656	450	1	a	a	DET
ejpam-6656	450	2	two	two	NUM
ejpam-6656	450	3	-	-	PUNCT
ejpam-6656	450	4	parameter	parameter	NOUN
ejpam-6656	450	5	model	model	NOUN
ejpam-6656	450	6	:	:	PUNCT
ejpam-6656	450	7	properties	property	NOUN
ejpam-6656	450	8	and	and	CCONJ
ejpam-6656	450	9	estimation	estimation	NOUN
ejpam-6656	450	10	under	under	ADP
ejpam-6656	450	11	ranked	rank	VERB
ejpam-6656	450	12	sampling	sampling	NOUN
ejpam-6656	450	13	.	.	PUNCT
ejpam-6656	451	1	mathematics	mathematic	NOUN
ejpam-6656	451	2	,	,	PUNCT
ejpam-6656	451	3	9:1–16	9:1–16	NUM
ejpam-6656	451	4	,	,	PUNCT
ejpam-6656	451	5	2021	2021	NUM
ejpam-6656	451	6	.	.	PUNCT
ejpam-6656	452	1	[	[	X
ejpam-6656	452	2	26	26	NUM
ejpam-6656	452	3	]	]	PUNCT
ejpam-6656	452	4	a.	a.	NOUN
ejpam-6656	452	5	s.	s.	PROPN
ejpam-6656	452	6	hassan	hassan	PROPN
ejpam-6656	452	7	,	,	PUNCT
ejpam-6656	452	8	n.	n.	PROPN
ejpam-6656	452	9	alsadat	alsadat	NOUN
ejpam-6656	452	10	,	,	PUNCT
ejpam-6656	452	11	m.	m.	NOUN
ejpam-6656	452	12	elgarhy	elgarhy	PROPN
ejpam-6656	452	13	,	,	PUNCT
ejpam-6656	452	14	c.	c.	PROPN
ejpam-6656	452	15	chesneau	chesneau	PROPN
ejpam-6656	452	16	,	,	PUNCT
ejpam-6656	452	17	and	and	CCONJ
ejpam-6656	452	18	r.	r.	PROPN
ejpam-6656	452	19	e.	e.	PROPN
ejpam-6656	452	20	mohamed	mohamed	PROPN
ejpam-6656	452	21	.	.	PUNCT
ejpam-6656	453	1	different	different	ADJ
ejpam-6656	453	2	classical	classical	ADJ
ejpam-6656	453	3	estimation	estimation	NOUN
ejpam-6656	453	4	methods	method	NOUN
ejpam-6656	453	5	using	use	VERB
ejpam-6656	453	6	ranked	rank	VERB
ejpam-6656	453	7	set	set	ADJ
ejpam-6656	453	8	sampling	sampling	NOUN
ejpam-6656	453	9	and	and	CCONJ
ejpam-6656	453	10	data	datum	NOUN
ejpam-6656	453	11	analysis	analysis	NOUN
ejpam-6656	453	12	for	for	ADP
ejpam-6656	453	13	the	the	DET
ejpam-6656	453	14	inverse	inverse	NOUN
ejpam-6656	453	15	power	power	NOUN
ejpam-6656	453	16	cauchy	cauchy	NOUN
ejpam-6656	453	17	distribution	distribution	NOUN
ejpam-6656	453	18	.	.	PUNCT
ejpam-6656	454	1	journal	journal	NOUN
ejpam-6656	454	2	of	of	ADP
ejpam-6656	454	3	radiation	radiation	NOUN
ejpam-6656	454	4	research	research	NOUN
ejpam-6656	454	5	and	and	CCONJ
ejpam-6656	454	6	applied	apply	VERB
ejpam-6656	454	7	sciences	science	NOUN
ejpam-6656	454	8	,	,	PUNCT
ejpam-6656	454	9	16(4):100685	16(4):100685	NUM
ejpam-6656	454	10	,	,	PUNCT
ejpam-6656	454	11	2023	2023	NUM
ejpam-6656	454	12	.	.	PUNCT