id	sid	tid	token	lemma	pos
ejpam-5922	1	1	european	european	PROPN
ejpam-5922	1	2	journal	journal	PROPN
ejpam-5922	1	3	of	of	ADP
ejpam-5922	1	4	pure	pure	ADJ
ejpam-5922	1	5	and	and	CCONJ
ejpam-5922	1	6	applied	applied	ADJ
ejpam-5922	1	7	mathematics	mathematic	NOUN
ejpam-5922	1	8	2025	2025	NUM
ejpam-5922	1	9	,	,	PUNCT
ejpam-5922	1	10	vol	vol	NOUN
ejpam-5922	1	11	.	.	PROPN
ejpam-5922	1	12	18	18	NUM
ejpam-5922	1	13	,	,	PUNCT
ejpam-5922	1	14	issue	issue	NOUN
ejpam-5922	1	15	2	2	NUM
ejpam-5922	1	16	,	,	PUNCT
ejpam-5922	1	17	article	article	NOUN
ejpam-5922	1	18	number	number	NOUN
ejpam-5922	1	19	5922	5922	NUM
ejpam-5922	1	20	issn	issn	PROPN
ejpam-5922	1	21	1307	1307	NUM
ejpam-5922	1	22	-	-	SYM
ejpam-5922	1	23	5543	5543	NUM
ejpam-5922	1	24	–	–	PUNCT
ejpam-5922	1	25	ejpam.com	ejpam.com	X
ejpam-5922	1	26	published	publish	VERB
ejpam-5922	1	27	by	by	ADP
ejpam-5922	1	28	new	new	PROPN
ejpam-5922	1	29	york	york	PROPN
ejpam-5922	1	30	business	business	PROPN
ejpam-5922	1	31	global	global	ADJ
ejpam-5922	1	32	generalized	generalize	VERB
ejpam-5922	1	33	class	class	NOUN
ejpam-5922	1	34	of	of	ADP
ejpam-5922	1	35	estimators	estimator	NOUN
ejpam-5922	1	36	for	for	ADP
ejpam-5922	1	37	median	median	ADJ
ejpam-5922	1	38	estimation	estimation	NOUN
ejpam-5922	1	39	using	use	VERB
ejpam-5922	1	40	auxiliary	auxiliary	ADJ
ejpam-5922	1	41	information	information	NOUN
ejpam-5922	1	42	sohaib	sohaib	PROPN
ejpam-5922	1	43	ahmad1,∗	ahmad1,∗	PROPN
ejpam-5922	1	44	,	,	PUNCT
ejpam-5922	1	45	saadia	saadia	PROPN
ejpam-5922	1	46	masood2	masood2	PROPN
ejpam-5922	1	47	,	,	PUNCT
ejpam-5922	1	48	manahil	manahil	PROPN
ejpam-5922	1	49	sidahmed	sidahme	VERB
ejpam-5922	1	50	mustafa3	mustafa3	PROPN
ejpam-5922	1	51	,	,	PUNCT
ejpam-5922	1	52	elsiddig	elsiddig	PROPN
ejpam-5922	1	53	idriss	idriss	VERB
ejpam-5922	1	54	mohamed3	mohamed3	PROPN
ejpam-5922	1	55	,	,	PUNCT
ejpam-5922	1	56	elfarazdag	elfarazdag	PROPN
ejpam-5922	1	57	m.	m.	PROPN
ejpam-5922	1	58	m.	m.	PROPN
ejpam-5922	1	59	hussein3	hussein3	PROPN
ejpam-5922	2	1	1	1	NUM
ejpam-5922	2	2	department	department	NOUN
ejpam-5922	2	3	of	of	ADP
ejpam-5922	2	4	statistics	statistic	NOUN
ejpam-5922	2	5	,	,	PUNCT
ejpam-5922	2	6	abdul	abdul	PROPN
ejpam-5922	2	7	wali	wali	PROPN
ejpam-5922	2	8	khan	khan	PROPN
ejpam-5922	2	9	university	university	PROPN
ejpam-5922	2	10	,	,	PUNCT
ejpam-5922	2	11	mardan	mardan	PROPN
ejpam-5922	2	12	,	,	PUNCT
ejpam-5922	2	13	pakistan	pakistan	PROPN
ejpam-5922	2	14	2	2	NUM
ejpam-5922	2	15	department	department	NOUN
ejpam-5922	2	16	of	of	ADP
ejpam-5922	2	17	mathematics	mathematic	NOUN
ejpam-5922	2	18	and	and	CCONJ
ejpam-5922	2	19	statistics	statistic	NOUN
ejpam-5922	2	20	,	,	PUNCT
ejpam-5922	2	21	pmas	pmas	PROPN
ejpam-5922	2	22	university	university	PROPN
ejpam-5922	2	23	of	of	ADP
ejpam-5922	2	24	arid	arid	PROPN
ejpam-5922	2	25	agriculture	agriculture	PROPN
ejpam-5922	2	26	,	,	PUNCT
ejpam-5922	2	27	rawalpindi	rawalpindi	PROPN
ejpam-5922	2	28	,	,	PUNCT
ejpam-5922	2	29	pakistan	pakistan	PROPN
ejpam-5922	2	30	3	3	NUM
ejpam-5922	2	31	department	department	NOUN
ejpam-5922	2	32	of	of	ADP
ejpam-5922	2	33	statistics	statistic	NOUN
ejpam-5922	2	34	,	,	PUNCT
ejpam-5922	2	35	faculty	faculty	NOUN
ejpam-5922	2	36	of	of	ADP
ejpam-5922	2	37	science	science	NOUN
ejpam-5922	2	38	,	,	PUNCT
ejpam-5922	2	39	university	university	NOUN
ejpam-5922	2	40	of	of	ADP
ejpam-5922	2	41	tabuk	tabuk	PROPN
ejpam-5922	2	42	,	,	PUNCT
ejpam-5922	2	43	tabuk	tabuk	NOUN
ejpam-5922	2	44	,	,	PUNCT
ejpam-5922	2	45	kingdom	kingdom	NOUN
ejpam-5922	2	46	of	of	ADP
ejpam-5922	2	47	saudi	saudi	PROPN
ejpam-5922	2	48	arabia	arabia	PROPN
ejpam-5922	2	49	abstract	abstract	NOUN
ejpam-5922	2	50	.	.	PUNCT
ejpam-5922	3	1	in	in	ADP
ejpam-5922	3	2	this	this	DET
ejpam-5922	3	3	article	article	NOUN
ejpam-5922	3	4	,	,	PUNCT
ejpam-5922	3	5	we	we	PRON
ejpam-5922	3	6	propose	propose	VERB
ejpam-5922	3	7	a	a	DET
ejpam-5922	3	8	comprehensive	comprehensive	ADJ
ejpam-5922	3	9	class	class	NOUN
ejpam-5922	3	10	of	of	ADP
ejpam-5922	3	11	estimator	estimator	NOUN
ejpam-5922	3	12	for	for	ADP
ejpam-5922	3	13	estimation	estimation	NOUN
ejpam-5922	3	14	of	of	ADP
ejpam-5922	3	15	population	population	NOUN
ejpam-5922	3	16	median	median	NOUN
ejpam-5922	3	17	under	under	ADP
ejpam-5922	3	18	simple	simple	ADJ
ejpam-5922	3	19	random	random	ADJ
ejpam-5922	3	20	sampling	sampling	NOUN
ejpam-5922	3	21	.	.	PUNCT
ejpam-5922	4	1	to	to	PART
ejpam-5922	4	2	boost	boost	VERB
ejpam-5922	4	3	the	the	DET
ejpam-5922	4	4	efficiency	efficiency	NOUN
ejpam-5922	4	5	of	of	ADP
ejpam-5922	4	6	an	an	DET
ejpam-5922	4	7	estimator	estimator	NOUN
ejpam-5922	4	8	we	we	PRON
ejpam-5922	4	9	utilize	utilize	VERB
ejpam-5922	4	10	the	the	DET
ejpam-5922	4	11	auxiliary	auxiliary	ADJ
ejpam-5922	4	12	information	information	NOUN
ejpam-5922	4	13	.	.	PUNCT
ejpam-5922	5	1	the	the	DET
ejpam-5922	5	2	numerical	numerical	ADJ
ejpam-5922	5	3	expression	expression	NOUN
ejpam-5922	5	4	of	of	ADP
ejpam-5922	5	5	the	the	DET
ejpam-5922	5	6	bias	bias	NOUN
ejpam-5922	5	7	and	and	CCONJ
ejpam-5922	5	8	mean	mean	VERB
ejpam-5922	5	9	squared	square	VERB
ejpam-5922	5	10	error	error	NOUN
ejpam-5922	5	11	are	be	AUX
ejpam-5922	5	12	consequent	consequent	ADJ
ejpam-5922	5	13	up	up	ADP
ejpam-5922	5	14	to	to	ADP
ejpam-5922	5	15	the	the	DET
ejpam-5922	5	16	first	first	ADJ
ejpam-5922	5	17	order	order	NOUN
ejpam-5922	5	18	of	of	ADP
ejpam-5922	5	19	approximation	approximation	NOUN
ejpam-5922	5	20	.	.	PUNCT
ejpam-5922	6	1	the	the	DET
ejpam-5922	6	2	proposed	propose	VERB
ejpam-5922	6	3	and	and	CCONJ
ejpam-5922	6	4	existing	exist	VERB
ejpam-5922	6	5	estimators	estimator	NOUN
ejpam-5922	6	6	have	have	AUX
ejpam-5922	6	7	been	be	AUX
ejpam-5922	6	8	evaluated	evaluate	VERB
ejpam-5922	6	9	via	via	ADP
ejpam-5922	6	10	real	real	ADJ
ejpam-5922	6	11	data	datum	NOUN
ejpam-5922	6	12	sets	set	NOUN
ejpam-5922	6	13	and	and	CCONJ
ejpam-5922	6	14	their	their	PRON
ejpam-5922	6	15	performances	performance	NOUN
ejpam-5922	6	16	were	be	AUX
ejpam-5922	6	17	assessed	assess	VERB
ejpam-5922	6	18	using	use	VERB
ejpam-5922	6	19	measurements	measurement	NOUN
ejpam-5922	6	20	of	of	ADP
ejpam-5922	6	21	minimal	minimal	ADJ
ejpam-5922	6	22	mean	mean	ADJ
ejpam-5922	6	23	square	square	ADJ
ejpam-5922	6	24	error	error	NOUN
ejpam-5922	6	25	and	and	CCONJ
ejpam-5922	6	26	maximum	maximum	ADJ
ejpam-5922	6	27	percentage	percentage	NOUN
ejpam-5922	6	28	relative	relative	ADJ
ejpam-5922	6	29	efficiency	efficiency	NOUN
ejpam-5922	6	30	.	.	PUNCT
ejpam-5922	7	1	the	the	DET
ejpam-5922	7	2	study	study	NOUN
ejpam-5922	7	3	showed	show	VERB
ejpam-5922	7	4	that	that	SCONJ
ejpam-5922	7	5	compared	compare	VERB
ejpam-5922	7	6	to	to	ADP
ejpam-5922	7	7	some	some	DET
ejpam-5922	7	8	adopted	adopt	VERB
ejpam-5922	7	9	existing	exist	VERB
ejpam-5922	7	10	estimators	estimator	NOUN
ejpam-5922	7	11	in	in	ADP
ejpam-5922	7	12	this	this	DET
ejpam-5922	7	13	study	study	NOUN
ejpam-5922	7	14	,	,	PUNCT
ejpam-5922	7	15	the	the	DET
ejpam-5922	7	16	proposed	propose	VERB
ejpam-5922	7	17	class	class	NOUN
ejpam-5922	7	18	of	of	ADP
ejpam-5922	7	19	estimators	estimator	NOUN
ejpam-5922	7	20	performed	perform	VERB
ejpam-5922	7	21	better	well	ADJ
ejpam-5922	7	22	and	and	CCONJ
ejpam-5922	7	23	efficient	efficient	ADJ
ejpam-5922	7	24	.	.	PUNCT
ejpam-5922	8	1	we	we	PRON
ejpam-5922	8	2	also	also	ADV
ejpam-5922	8	3	visualize	visualize	VERB
ejpam-5922	8	4	all	all	DET
ejpam-5922	8	5	the	the	DET
ejpam-5922	8	6	estimators	estimator	NOUN
ejpam-5922	8	7	using	use	VERB
ejpam-5922	8	8	results	result	NOUN
ejpam-5922	8	9	of	of	ADP
ejpam-5922	8	10	mse	mse	NOUN
ejpam-5922	8	11	and	and	CCONJ
ejpam-5922	8	12	pre	pre	NOUN
ejpam-5922	8	13	.	.	PUNCT
ejpam-5922	9	1	according	accord	VERB
ejpam-5922	9	2	to	to	ADP
ejpam-5922	9	3	the	the	DET
ejpam-5922	9	4	results	result	NOUN
ejpam-5922	9	5	,	,	PUNCT
ejpam-5922	9	6	the	the	DET
ejpam-5922	9	7	suggested	suggest	VERB
ejpam-5922	9	8	estimator	estimator	NOUN
ejpam-5922	9	9	is	be	AUX
ejpam-5922	9	10	superior	superior	ADJ
ejpam-5922	9	11	to	to	ADP
ejpam-5922	9	12	the	the	DET
ejpam-5922	9	13	adopted	adopted	ADJ
ejpam-5922	9	14	existing	exist	VERB
ejpam-5922	9	15	estimators	estimator	NOUN
ejpam-5922	9	16	.	.	PUNCT
ejpam-5922	10	1	the	the	DET
ejpam-5922	10	2	significance	significance	NOUN
ejpam-5922	10	3	and	and	CCONJ
ejpam-5922	10	4	potential	potential	ADJ
ejpam-5922	10	5	applications	application	NOUN
ejpam-5922	10	6	of	of	ADP
ejpam-5922	10	7	our	our	PRON
ejpam-5922	10	8	proposed	propose	VERB
ejpam-5922	10	9	class	class	NOUN
ejpam-5922	10	10	of	of	ADP
ejpam-5922	10	11	estimators	estimator	NOUN
ejpam-5922	10	12	are	be	AUX
ejpam-5922	10	13	highlighted	highlight	VERB
ejpam-5922	10	14	by	by	ADP
ejpam-5922	10	15	these	these	DET
ejpam-5922	10	16	results	result	NOUN
ejpam-5922	10	17	.	.	PUNCT
ejpam-5922	11	1	2020	2020	NUM
ejpam-5922	11	2	mathematics	mathematic	NOUN
ejpam-5922	11	3	subject	subject	NOUN
ejpam-5922	11	4	classifications	classification	NOUN
ejpam-5922	11	5	:	:	PUNCT
ejpam-5922	11	6	62d05	62d05	NUM
ejpam-5922	11	7	,	,	PUNCT
ejpam-5922	11	8	62f10	62f10	ADJ
ejpam-5922	11	9	key	key	ADJ
ejpam-5922	11	10	words	word	NOUN
ejpam-5922	11	11	and	and	CCONJ
ejpam-5922	11	12	phrases	phrase	NOUN
ejpam-5922	11	13	:	:	PUNCT
ejpam-5922	11	14	median	median	ADJ
ejpam-5922	11	15	estimation	estimation	NOUN
ejpam-5922	11	16	,	,	PUNCT
ejpam-5922	11	17	visualization	visualization	NOUN
ejpam-5922	11	18	,	,	PUNCT
ejpam-5922	11	19	auxiliary	auxiliary	ADJ
ejpam-5922	11	20	information	information	NOUN
ejpam-5922	11	21	,	,	PUNCT
ejpam-5922	11	22	mse	mse	NOUN
ejpam-5922	11	23	,	,	PUNCT
ejpam-5922	11	24	efficiency	efficiency	NOUN
ejpam-5922	11	25	1	1	NUM
ejpam-5922	11	26	.	.	PUNCT
ejpam-5922	11	27	introduction	introduction	NOUN
ejpam-5922	11	28	the	the	DET
ejpam-5922	11	29	accuracy	accuracy	NOUN
ejpam-5922	11	30	of	of	ADP
ejpam-5922	11	31	parameter	parameter	NOUN
ejpam-5922	11	32	estimates	estimate	NOUN
ejpam-5922	11	33	for	for	ADP
ejpam-5922	11	34	a	a	DET
ejpam-5922	11	35	population	population	NOUN
ejpam-5922	11	36	can	can	AUX
ejpam-5922	11	37	be	be	AUX
ejpam-5922	11	38	greatly	greatly	ADV
ejpam-5922	11	39	enhanced	enhance	VERB
ejpam-5922	11	40	with	with	ADP
ejpam-5922	11	41	the	the	DET
ejpam-5922	11	42	incorporation	incorporation	NOUN
ejpam-5922	11	43	of	of	ADP
ejpam-5922	11	44	auxiliary	auxiliary	ADJ
ejpam-5922	11	45	infromation	infromation	NOUN
ejpam-5922	11	46	during	during	ADP
ejpam-5922	11	47	the	the	DET
ejpam-5922	11	48	selection	selection	NOUN
ejpam-5922	11	49	or	or	CCONJ
ejpam-5922	11	50	estimation	estimation	NOUN
ejpam-5922	11	51	process	process	NOUN
ejpam-5922	11	52	,	,	PUNCT
ejpam-5922	11	53	or	or	CCONJ
ejpam-5922	11	54	both	both	PRON
ejpam-5922	11	55	.	.	PUNCT
ejpam-5922	12	1	although	although	SCONJ
ejpam-5922	12	2	many	many	ADJ
ejpam-5922	12	3	determinations	determination	NOUN
ejpam-5922	12	4	have	have	AUX
ejpam-5922	12	5	been	be	AUX
ejpam-5922	12	6	made	make	VERB
ejpam-5922	12	7	to	to	PART
ejpam-5922	12	8	progress	progress	VERB
ejpam-5922	12	9	estimator	estimator	NOUN
ejpam-5922	12	10	precision	precision	NOUN
ejpam-5922	12	11	,	,	PUNCT
ejpam-5922	12	12	estimating	estimate	VERB
ejpam-5922	12	13	the	the	DET
ejpam-5922	12	14	population	population	NOUN
ejpam-5922	12	15	mean	mean	VERB
ejpam-5922	12	16	remains	remain	VERB
ejpam-5922	12	17	a	a	DET
ejpam-5922	12	18	persistent	persistent	ADJ
ejpam-5922	12	19	challenge	challenge	NOUN
ejpam-5922	12	20	in	in	ADP
ejpam-5922	12	21	sampling	sample	VERB
ejpam-5922	12	22	.	.	PUNCT
ejpam-5922	13	1	when	when	SCONJ
ejpam-5922	13	2	the	the	DET
ejpam-5922	13	3	auxiliary	auxiliary	ADJ
ejpam-5922	13	4	information	information	NOUN
ejpam-5922	13	5	is	be	AUX
ejpam-5922	13	6	taken	take	VERB
ejpam-5922	13	7	into	into	ADP
ejpam-5922	13	8	account	account	NOUN
ejpam-5922	13	9	,	,	PUNCT
ejpam-5922	13	10	a	a	DET
ejpam-5922	13	11	huge	huge	ADJ
ejpam-5922	13	12	number	number	NOUN
ejpam-5922	13	13	of	of	ADP
ejpam-5922	13	14	alternatives	alternative	NOUN
ejpam-5922	13	15	become	become	VERB
ejpam-5922	13	16	accessible	accessible	ADJ
ejpam-5922	13	17	.	.	PUNCT
ejpam-5922	14	1	in	in	ADP
ejpam-5922	14	2	∗corresponding	∗corresponde	VERB
ejpam-5922	14	3	author	author	NOUN
ejpam-5922	14	4	.	.	PUNCT
ejpam-5922	15	1	doi	doi	NOUN
ejpam-5922	15	2	:	:	PUNCT
ejpam-5922	15	3	https://doi.org/10.29020/nybg.ejpam.v18i2.5922	https://doi.org/10.29020/nybg.ejpam.v18i2.5922	PROPN
ejpam-5922	15	4	email	email	NOUN
ejpam-5922	15	5	addresses	address	NOUN
ejpam-5922	15	6	:	:	PUNCT
ejpam-5922	15	7	sohaib	sohaib	PROPN
ejpam-5922	15	8	ahmad@awkum.edu.pk	ahmad@awkum.edu.pk	PROPN
ejpam-5922	15	9	(	(	PUNCT
ejpam-5922	15	10	s.	s.	PROPN
ejpam-5922	15	11	ahmad	ahmad	PROPN
ejpam-5922	15	12	)	)	PUNCT
ejpam-5922	15	13	,	,	PUNCT
ejpam-5922	15	14	saadia.masood@uaar.edu.pk	saadia.masood@uaar.edu.pk	NOUN
ejpam-5922	15	15	(	(	PUNCT
ejpam-5922	15	16	s.	s.	PROPN
ejpam-5922	15	17	masood	masood	PROPN
ejpam-5922	15	18	)	)	PUNCT
ejpam-5922	15	19	,	,	PUNCT
ejpam-5922	15	20	msida@ut.edu.sa	msida@ut.edu.sa	PROPN
ejpam-5922	15	21	(	(	PUNCT
ejpam-5922	15	22	m.	m.	PROPN
ejpam-5922	15	23	s.	s.	PROPN
ejpam-5922	15	24	mustafa	mustafa	PROPN
ejpam-5922	15	25	)	)	PUNCT
ejpam-5922	15	26	,	,	PUNCT
ejpam-5922	15	27	eidriss@ut.edu.sa	eidriss@ut.edu.sa	PROPN
ejpam-5922	15	28	(	(	PUNCT
ejpam-5922	15	29	e.	e.	PROPN
ejpam-5922	15	30	i.	i.	PROPN
ejpam-5922	15	31	mohamed	mohamed	PROPN
ejpam-5922	15	32	)	)	PUNCT
ejpam-5922	15	33	,	,	PUNCT
ejpam-5922	15	34	e.hussein@ut.edu.sa	e.hussein@ut.edu.sa	PROPN
ejpam-5922	15	35	(	(	PUNCT
ejpam-5922	15	36	e.	e.	PROPN
ejpam-5922	15	37	m.	m.	PROPN
ejpam-5922	15	38	m.	m.	PROPN
ejpam-5922	15	39	hussein	hussein	PROPN
ejpam-5922	15	40	)	)	PUNCT
ejpam-5922	15	41	https://www.ejpam.com	https://www.ejpam.com	X
ejpam-5922	16	1	1	1	NUM
ejpam-5922	16	2	copyright	copyright	NOUN
ejpam-5922	16	3	:	:	PUNCT
ejpam-5922	16	4	©	©	PROPN
ejpam-5922	16	5	2025	2025	NUM
ejpam-5922	16	6	the	the	DET
ejpam-5922	16	7	author(s	author(s	NOUN
ejpam-5922	16	8	)	)	PUNCT
ejpam-5922	16	9	.	.	PUNCT
ejpam-5922	17	1	(	(	PUNCT
ejpam-5922	17	2	cc	cc	NOUN
ejpam-5922	17	3	by	by	ADP
ejpam-5922	17	4	-	-	PUNCT
ejpam-5922	17	5	nc	nc	PROPN
ejpam-5922	17	6	4.0	4.0	NUM
ejpam-5922	17	7	)	)	PUNCT
ejpam-5922	17	8	s.	s.	PROPN
ejpam-5922	17	9	ahmad	ahmad	PROPN
ejpam-5922	17	10	et	et	PROPN
ejpam-5922	17	11	al	al	PROPN
ejpam-5922	17	12	.	.	PUNCT
ejpam-5922	17	13	/	/	SYM
ejpam-5922	17	14	eur	eur	PROPN
ejpam-5922	17	15	.	.	PUNCT
ejpam-5922	18	1	j.	j.	PROPN
ejpam-5922	18	2	pure	pure	PROPN
ejpam-5922	18	3	appl	appl	PROPN
ejpam-5922	18	4	.	.	PROPN
ejpam-5922	18	5	math	math	PROPN
ejpam-5922	18	6	,	,	PUNCT
ejpam-5922	18	7	18	18	NUM
ejpam-5922	18	8	(	(	PUNCT
ejpam-5922	18	9	2	2	NUM
ejpam-5922	18	10	)	)	PUNCT
ejpam-5922	18	11	(	(	PUNCT
ejpam-5922	18	12	2025	2025	NUM
ejpam-5922	18	13	)	)	PUNCT
ejpam-5922	18	14	,	,	PUNCT
ejpam-5922	18	15	5922	5922	NUM
ejpam-5922	18	16	2	2	NUM
ejpam-5922	18	17	of	of	ADP
ejpam-5922	18	18	17	17	NUM
ejpam-5922	18	19	order	order	NOUN
ejpam-5922	18	20	to	to	PART
ejpam-5922	18	21	deal	deal	VERB
ejpam-5922	18	22	with	with	ADP
ejpam-5922	18	23	situations	situation	NOUN
ejpam-5922	18	24	involving	involve	VERB
ejpam-5922	18	25	a	a	DET
ejpam-5922	18	26	large	large	ADJ
ejpam-5922	18	27	number	number	NOUN
ejpam-5922	18	28	of	of	ADP
ejpam-5922	18	29	covariates	covariate	NOUN
ejpam-5922	18	30	,	,	PUNCT
ejpam-5922	18	31	numerous	numerous	ADJ
ejpam-5922	18	32	estimators	estimator	NOUN
ejpam-5922	18	33	have	have	AUX
ejpam-5922	18	34	been	be	AUX
ejpam-5922	18	35	developed	develop	VERB
ejpam-5922	18	36	,	,	PUNCT
ejpam-5922	18	37	consisting	consist	VERB
ejpam-5922	18	38	of	of	ADP
ejpam-5922	18	39	incorporating	incorporate	VERB
ejpam-5922	18	40	aspects	aspect	NOUN
ejpam-5922	18	41	from	from	ADP
ejpam-5922	18	42	ratio	ratio	NOUN
ejpam-5922	18	43	,	,	PUNCT
ejpam-5922	18	44	product	product	NOUN
ejpam-5922	18	45	,	,	PUNCT
ejpam-5922	18	46	and	and	CCONJ
ejpam-5922	18	47	regression	regression	NOUN
ejpam-5922	18	48	estimators	estimator	NOUN
ejpam-5922	18	49	.	.	PUNCT
ejpam-5922	19	1	the	the	DET
ejpam-5922	19	2	variance	variance	NOUN
ejpam-5922	19	3	,	,	PUNCT
ejpam-5922	19	4	the	the	DET
ejpam-5922	19	5	coefficient	coefficient	NOUN
ejpam-5922	19	6	of	of	ADP
ejpam-5922	19	7	variation	variation	NOUN
ejpam-5922	19	8	,	,	PUNCT
ejpam-5922	19	9	and	and	CCONJ
ejpam-5922	19	10	the	the	DET
ejpam-5922	19	11	kurtosis	kurtosis	NOUN
ejpam-5922	19	12	have	have	AUX
ejpam-5922	19	13	all	all	PRON
ejpam-5922	19	14	been	be	AUX
ejpam-5922	19	15	used	use	VERB
ejpam-5922	19	16	extensively	extensively	ADV
ejpam-5922	19	17	by	by	ADP
ejpam-5922	19	18	researchers	researcher	NOUN
ejpam-5922	19	19	for	for	ADP
ejpam-5922	19	20	parameter	parameter	NOUN
ejpam-5922	19	21	estimation	estimation	NOUN
ejpam-5922	19	22	in	in	ADP
ejpam-5922	19	23	populations	population	NOUN
ejpam-5922	19	24	.	.	PUNCT
ejpam-5922	20	1	for	for	SCONJ
ejpam-5922	20	2	this	this	PRON
ejpam-5922	20	3	to	to	PART
ejpam-5922	20	4	work	work	VERB
ejpam-5922	20	5	,	,	PUNCT
ejpam-5922	20	6	we	we	PRON
ejpam-5922	20	7	need	need	VERB
ejpam-5922	20	8	to	to	PART
ejpam-5922	20	9	draw	draw	VERB
ejpam-5922	20	10	from	from	ADP
ejpam-5922	20	11	a	a	DET
ejpam-5922	20	12	representative	representative	ADJ
ejpam-5922	20	13	subset	subset	NOUN
ejpam-5922	20	14	of	of	ADP
ejpam-5922	20	15	the	the	DET
ejpam-5922	20	16	population	population	NOUN
ejpam-5922	20	17	.	.	PUNCT
ejpam-5922	21	1	the	the	DET
ejpam-5922	21	2	population	population	NOUN
ejpam-5922	21	3	of	of	ADP
ejpam-5922	21	4	interest	interest	NOUN
ejpam-5922	21	5	is	be	AUX
ejpam-5922	21	6	chosen	choose	VERB
ejpam-5922	21	7	with	with	ADP
ejpam-5922	21	8	the	the	DET
ejpam-5922	21	9	help	help	NOUN
ejpam-5922	21	10	of	of	ADP
ejpam-5922	21	11	simple	simple	ADJ
ejpam-5922	21	12	random	random	ADJ
ejpam-5922	21	13	sampling	sampling	NOUN
ejpam-5922	21	14	.	.	PUNCT
ejpam-5922	22	1	using	use	VERB
ejpam-5922	22	2	the	the	DET
ejpam-5922	22	3	ratio	ratio	NOUN
ejpam-5922	22	4	,	,	PUNCT
ejpam-5922	22	5	product	product	NOUN
ejpam-5922	22	6	,	,	PUNCT
ejpam-5922	22	7	or	or	CCONJ
ejpam-5922	22	8	regression	regression	NOUN
ejpam-5922	22	9	estimation	estimation	NOUN
ejpam-5922	22	10	approaches	approach	NOUN
ejpam-5922	22	11	requires	require	VERB
ejpam-5922	22	12	advanced	advanced	ADJ
ejpam-5922	22	13	knowledge	knowledge	NOUN
ejpam-5922	22	14	of	of	ADP
ejpam-5922	22	15	the	the	DET
ejpam-5922	22	16	population	population	NOUN
ejpam-5922	22	17	constraints	constraint	NOUN
ejpam-5922	22	18	of	of	ADP
ejpam-5922	22	19	the	the	DET
ejpam-5922	22	20	auxiliary	auxiliary	ADJ
ejpam-5922	22	21	information	information	NOUN
ejpam-5922	22	22	.	.	PUNCT
ejpam-5922	23	1	by	by	ADP
ejpam-5922	23	2	adjusting	adjust	VERB
ejpam-5922	23	3	the	the	DET
ejpam-5922	23	4	appropriate	appropriate	ADJ
ejpam-5922	23	5	auxiliary	auxiliary	ADJ
ejpam-5922	23	6	information	information	NOUN
ejpam-5922	23	7	,	,	PUNCT
ejpam-5922	23	8	many	many	ADJ
ejpam-5922	23	9	authors	author	NOUN
ejpam-5922	23	10	have	have	AUX
ejpam-5922	23	11	provided	provide	VERB
ejpam-5922	23	12	alternative	alternative	ADJ
ejpam-5922	23	13	estimators	estimator	NOUN
ejpam-5922	23	14	.	.	PUNCT
ejpam-5922	24	1	it	it	PRON
ejpam-5922	24	2	is	be	AUX
ejpam-5922	24	3	generally	generally	ADV
ejpam-5922	24	4	agreed	agree	VERB
ejpam-5922	24	5	that	that	SCONJ
ejpam-5922	24	6	estimators	estimator	NOUN
ejpam-5922	24	7	who	who	PRON
ejpam-5922	24	8	use	use	VERB
ejpam-5922	24	9	auxiliary	auxiliary	ADJ
ejpam-5922	24	10	information	information	NOUN
ejpam-5922	24	11	in	in	ADP
ejpam-5922	24	12	survey	survey	NOUN
ejpam-5922	24	13	sampling	sample	VERB
ejpam-5922	24	14	can	can	AUX
ejpam-5922	24	15	yield	yield	VERB
ejpam-5922	24	16	implicitly	implicitly	ADV
ejpam-5922	24	17	better	well	ADJ
ejpam-5922	24	18	estimates	estimate	NOUN
ejpam-5922	24	19	than	than	ADP
ejpam-5922	24	20	those	those	PRON
ejpam-5922	24	21	who	who	PRON
ejpam-5922	24	22	do	do	VERB
ejpam-5922	24	23	not	not	PART
ejpam-5922	24	24	.	.	PUNCT
ejpam-5922	25	1	sampling	sample	VERB
ejpam-5922	25	2	is	be	AUX
ejpam-5922	25	3	a	a	DET
ejpam-5922	25	4	technique	technique	NOUN
ejpam-5922	25	5	for	for	ADP
ejpam-5922	25	6	efficiently	efficiently	ADV
ejpam-5922	25	7	and	and	CCONJ
ejpam-5922	25	8	effectively	effectively	ADV
ejpam-5922	25	9	collecting	collect	VERB
ejpam-5922	25	10	information	information	NOUN
ejpam-5922	25	11	about	about	ADP
ejpam-5922	25	12	a	a	DET
ejpam-5922	25	13	population	population	NOUN
ejpam-5922	25	14	in	in	ADP
ejpam-5922	25	15	a	a	DET
ejpam-5922	25	16	way	way	NOUN
ejpam-5922	25	17	that	that	PRON
ejpam-5922	25	18	maximizes	maximize	VERB
ejpam-5922	25	19	the	the	DET
ejpam-5922	25	20	precision	precision	NOUN
ejpam-5922	25	21	of	of	ADP
ejpam-5922	25	22	estimates	estimate	NOUN
ejpam-5922	25	23	with	with	ADP
ejpam-5922	25	24	minimal	minimal	ADJ
ejpam-5922	25	25	outlay	outlay	NOUN
ejpam-5922	25	26	of	of	ADP
ejpam-5922	25	27	resources	resource	NOUN
ejpam-5922	25	28	.	.	PUNCT
ejpam-5922	26	1	in	in	ADP
ejpam-5922	26	2	order	order	NOUN
ejpam-5922	26	3	to	to	PART
ejpam-5922	26	4	make	make	VERB
ejpam-5922	26	5	more	more	ADJ
ejpam-5922	26	6	precise	precise	ADJ
ejpam-5922	26	7	estimates	estimate	NOUN
ejpam-5922	26	8	,	,	PUNCT
ejpam-5922	26	9	sampling	sample	VERB
ejpam-5922	26	10	is	be	AUX
ejpam-5922	26	11	done	do	VERB
ejpam-5922	26	12	to	to	PART
ejpam-5922	26	13	gain	gain	VERB
ejpam-5922	26	14	insight	insight	NOUN
ejpam-5922	26	15	into	into	ADP
ejpam-5922	26	16	a	a	DET
ejpam-5922	26	17	population	population	NOUN
ejpam-5922	26	18	’s	’s	PART
ejpam-5922	26	19	characteristics	characteristic	NOUN
ejpam-5922	26	20	with	with	ADP
ejpam-5922	26	21	minimal	minimal	ADJ
ejpam-5922	26	22	effort	effort	NOUN
ejpam-5922	26	23	.	.	PUNCT
ejpam-5922	27	1	since	since	SCONJ
ejpam-5922	27	2	these	these	DET
ejpam-5922	27	3	methods	method	NOUN
ejpam-5922	27	4	yield	yield	VERB
ejpam-5922	27	5	reliable	reliable	ADJ
ejpam-5922	27	6	estimates	estimate	NOUN
ejpam-5922	27	7	,	,	PUNCT
ejpam-5922	27	8	we	we	PRON
ejpam-5922	27	9	employ	employ	VERB
ejpam-5922	27	10	the	the	DET
ejpam-5922	27	11	mean	mean	ADJ
ejpam-5922	27	12	and	and	CCONJ
ejpam-5922	27	13	standard	standard	ADJ
ejpam-5922	27	14	least	least	ADJ
ejpam-5922	27	15	-	-	PUNCT
ejpam-5922	27	16	squares	square	NOUN
ejpam-5922	27	17	approaches	approach	NOUN
ejpam-5922	27	18	to	to	PART
ejpam-5922	27	19	estimate	estimate	VERB
ejpam-5922	27	20	population	population	NOUN
ejpam-5922	27	21	parameters	parameter	NOUN
ejpam-5922	27	22	.	.	PUNCT
ejpam-5922	28	1	as	as	ADP
ejpam-5922	28	2	a	a	DET
ejpam-5922	28	3	consequence	consequence	NOUN
ejpam-5922	28	4	,	,	PUNCT
ejpam-5922	28	5	the	the	DET
ejpam-5922	28	6	data	datum	NOUN
ejpam-5922	28	7	may	may	AUX
ejpam-5922	28	8	not	not	PART
ejpam-5922	28	9	follow	follow	VERB
ejpam-5922	28	10	a	a	DET
ejpam-5922	28	11	normal	normal	ADJ
ejpam-5922	28	12	distribution	distribution	NOUN
ejpam-5922	28	13	but	but	CCONJ
ejpam-5922	28	14	exhibit	exhibit	VERB
ejpam-5922	28	15	severely	severely	ADV
ejpam-5922	28	16	skewed	skewed	ADJ
ejpam-5922	28	17	distributions	distribution	NOUN
ejpam-5922	28	18	(	(	PUNCT
ejpam-5922	28	19	for	for	ADP
ejpam-5922	28	20	example	example	NOUN
ejpam-5922	28	21	wages	wage	NOUN
ejpam-5922	28	22	and	and	CCONJ
ejpam-5922	28	23	consumption	consumption	NOUN
ejpam-5922	28	24	)	)	PUNCT
ejpam-5922	28	25	.	.	PUNCT
ejpam-5922	29	1	due	due	ADP
ejpam-5922	29	2	to	to	ADP
ejpam-5922	29	3	the	the	DET
ejpam-5922	29	4	mean	mean	ADJ
ejpam-5922	29	5	sensitivity	sensitivity	NOUN
ejpam-5922	29	6	with	with	ADP
ejpam-5922	29	7	outliers	outlier	NOUN
ejpam-5922	29	8	,	,	PUNCT
ejpam-5922	29	9	it	it	PRON
ejpam-5922	29	10	can	can	AUX
ejpam-5922	29	11	not	not	PART
ejpam-5922	29	12	be	be	AUX
ejpam-5922	29	13	used	use	VERB
ejpam-5922	29	14	to	to	PART
ejpam-5922	29	15	reliably	reliably	ADV
ejpam-5922	29	16	compute	compute	VERB
ejpam-5922	29	17	these	these	DET
ejpam-5922	29	18	quantities	quantity	NOUN
ejpam-5922	29	19	.	.	PUNCT
ejpam-5922	30	1	therefore	therefore	ADV
ejpam-5922	30	2	,	,	PUNCT
ejpam-5922	30	3	the	the	DET
ejpam-5922	30	4	median	median	NOUN
ejpam-5922	30	5	is	be	AUX
ejpam-5922	30	6	unaffected	unaffected	ADJ
ejpam-5922	30	7	by	by	ADP
ejpam-5922	30	8	outliers	outlier	NOUN
ejpam-5922	30	9	and	and	CCONJ
ejpam-5922	30	10	extreme	extreme	ADJ
ejpam-5922	30	11	values	value	NOUN
ejpam-5922	30	12	,	,	PUNCT
ejpam-5922	30	13	it	it	PRON
ejpam-5922	30	14	can	can	AUX
ejpam-5922	30	15	be	be	AUX
ejpam-5922	30	16	used	use	VERB
ejpam-5922	30	17	as	as	ADP
ejpam-5922	30	18	a	a	DET
ejpam-5922	30	19	measure	measure	NOUN
ejpam-5922	30	20	of	of	ADP
ejpam-5922	30	21	center	center	NOUN
ejpam-5922	30	22	tendency	tendency	NOUN
ejpam-5922	30	23	.	.	PUNCT
ejpam-5922	31	1	attempts	attempt	VERB
ejpam-5922	31	2	to	to	PART
ejpam-5922	31	3	provide	provide	VERB
ejpam-5922	31	4	a	a	DET
ejpam-5922	31	5	novel	novel	ADJ
ejpam-5922	31	6	method	method	NOUN
ejpam-5922	31	7	for	for	ADP
ejpam-5922	31	8	obtaining	obtain	VERB
ejpam-5922	31	9	a	a	DET
ejpam-5922	31	10	reliable	reliable	ADJ
ejpam-5922	31	11	conclusion	conclusion	NOUN
ejpam-5922	31	12	in	in	ADP
ejpam-5922	31	13	such	such	ADJ
ejpam-5922	31	14	cases	case	NOUN
ejpam-5922	31	15	are	be	AUX
ejpam-5922	31	16	notoriously	notoriously	ADV
ejpam-5922	31	17	challenging	challenge	VERB
ejpam-5922	31	18	for	for	ADP
ejpam-5922	31	19	academics	academic	NOUN
ejpam-5922	31	20	.	.	PUNCT
ejpam-5922	32	1	the	the	DET
ejpam-5922	32	2	use	use	NOUN
ejpam-5922	32	3	of	of	ADP
ejpam-5922	32	4	auxiliary	auxiliary	ADJ
ejpam-5922	32	5	information	information	NOUN
ejpam-5922	32	6	in	in	ADP
ejpam-5922	32	7	median	median	ADJ
ejpam-5922	32	8	estimation	estimation	NOUN
ejpam-5922	32	9	depends	depend	VERB
ejpam-5922	32	10	on	on	ADP
ejpam-5922	32	11	the	the	DET
ejpam-5922	32	12	idea	idea	NOUN
ejpam-5922	32	13	that	that	SCONJ
ejpam-5922	32	14	related	related	ADJ
ejpam-5922	32	15	variables	variable	NOUN
ejpam-5922	32	16	can	can	AUX
ejpam-5922	32	17	enhance	enhance	VERB
ejpam-5922	32	18	target	target	VERB
ejpam-5922	32	19	variable	variable	ADJ
ejpam-5922	32	20	estimation	estimation	NOUN
ejpam-5922	32	21	accuracy	accuracy	NOUN
ejpam-5922	32	22	.	.	PUNCT
ejpam-5922	33	1	considering	consider	VERB
ejpam-5922	33	2	auxiliary	auxiliary	ADJ
ejpam-5922	33	3	information	information	NOUN
ejpam-5922	33	4	helps	help	VERB
ejpam-5922	33	5	to	to	PART
ejpam-5922	33	6	both	both	CCONJ
ejpam-5922	33	7	strengthen	strengthen	VERB
ejpam-5922	33	8	and	and	CCONJ
ejpam-5922	33	9	stabilize	stabilize	VERB
ejpam-5922	33	10	the	the	DET
ejpam-5922	33	11	estimation	estimation	NOUN
ejpam-5922	33	12	results	result	NOUN
ejpam-5922	33	13	particularly	particularly	ADV
ejpam-5922	33	14	when	when	SCONJ
ejpam-5922	33	15	the	the	DET
ejpam-5922	33	16	original	original	ADJ
ejpam-5922	33	17	data	datum	NOUN
ejpam-5922	33	18	has	have	AUX
ejpam-5922	33	19	limited	limit	VERB
ejpam-5922	33	20	quantity	quantity	NOUN
ejpam-5922	33	21	or	or	CCONJ
ejpam-5922	33	22	missing	miss	VERB
ejpam-5922	33	23	values	value	NOUN
ejpam-5922	33	24	.	.	PUNCT
ejpam-5922	34	1	through	through	ADP
ejpam-5922	34	2	these	these	DET
ejpam-5922	34	3	methods	method	NOUN
ejpam-5922	34	4	the	the	DET
ejpam-5922	34	5	estimator	estimator	NOUN
ejpam-5922	34	6	accounts	account	VERB
ejpam-5922	34	7	for	for	ADP
ejpam-5922	34	8	new	new	ADJ
ejpam-5922	34	9	information	information	NOUN
ejpam-5922	34	10	facilitating	facilitate	VERB
ejpam-5922	34	11	both	both	CCONJ
ejpam-5922	34	12	variance	variance	NOUN
ejpam-5922	34	13	reduction	reduction	NOUN
ejpam-5922	34	14	and	and	CCONJ
ejpam-5922	34	15	improve	improve	VERB
ejpam-5922	34	16	efficiency	efficiency	NOUN
ejpam-5922	34	17	.	.	PUNCT
ejpam-5922	35	1	a	a	DET
ejpam-5922	35	2	regression	regression	NOUN
ejpam-5922	35	3	estimator	estimator	NOUN
ejpam-5922	35	4	can	can	AUX
ejpam-5922	35	5	use	use	VERB
ejpam-5922	35	6	auxiliary	auxiliary	ADJ
ejpam-5922	35	7	variables	variable	NOUN
ejpam-5922	35	8	to	to	PART
ejpam-5922	35	9	recognize	recognize	VERB
ejpam-5922	35	10	how	how	SCONJ
ejpam-5922	35	11	the	the	DET
ejpam-5922	35	12	target	target	NOUN
ejpam-5922	35	13	variable	variable	ADJ
ejpam-5922	35	14	associates	associate	NOUN
ejpam-5922	35	15	with	with	ADP
ejpam-5922	35	16	covariates	covariate	NOUN
ejpam-5922	35	17	thus	thus	ADV
ejpam-5922	35	18	enabling	enable	VERB
ejpam-5922	35	19	better	well	ADJ
ejpam-5922	35	20	median	median	ADJ
ejpam-5922	35	21	predictions	prediction	NOUN
ejpam-5922	35	22	.	.	PUNCT
ejpam-5922	36	1	from	from	ADP
ejpam-5922	36	2	a	a	DET
ejpam-5922	36	3	theoretical	theoretical	ADJ
ejpam-5922	36	4	point	point	NOUN
ejpam-5922	36	5	of	of	ADP
ejpam-5922	36	6	view	view	NOUN
ejpam-5922	36	7	the	the	DET
ejpam-5922	36	8	addition	addition	NOUN
ejpam-5922	36	9	of	of	ADP
ejpam-5922	36	10	auxiliary	auxiliary	ADJ
ejpam-5922	36	11	information	information	NOUN
ejpam-5922	36	12	enhances	enhance	VERB
ejpam-5922	36	13	two	two	NUM
ejpam-5922	36	14	important	important	ADJ
ejpam-5922	36	15	statistical	statistical	ADJ
ejpam-5922	36	16	criteria	criterion	NOUN
ejpam-5922	36	17	consisting	consist	VERB
ejpam-5922	36	18	of	of	ADP
ejpam-5922	36	19	efficiency	efficiency	NOUN
ejpam-5922	36	20	and	and	CCONJ
ejpam-5922	36	21	consistency	consistency	NOUN
ejpam-5922	36	22	.	.	PUNCT
ejpam-5922	37	1	the	the	DET
ejpam-5922	37	2	estimation	estimation	NOUN
ejpam-5922	37	3	method	method	NOUN
ejpam-5922	37	4	which	which	PRON
ejpam-5922	37	5	takes	take	VERB
ejpam-5922	37	6	auxiliary	auxiliary	ADJ
ejpam-5922	37	7	information	information	NOUN
ejpam-5922	37	8	into	into	ADP
ejpam-5922	37	9	consideration	consideration	NOUN
ejpam-5922	37	10	delivers	deliver	VERB
ejpam-5922	37	11	lower	low	ADJ
ejpam-5922	37	12	mse	mse	NOUN
ejpam-5922	37	13	results	result	NOUN
ejpam-5922	37	14	than	than	ADP
ejpam-5922	37	15	methods	method	NOUN
ejpam-5922	37	16	working	work	VERB
ejpam-5922	37	17	with	with	ADP
ejpam-5922	37	18	observed	observed	ADJ
ejpam-5922	37	19	data	datum	NOUN
ejpam-5922	37	20	only	only	ADV
ejpam-5922	37	21	.	.	PUNCT
ejpam-5922	38	1	some	some	DET
ejpam-5922	38	2	conditions	condition	NOUN
ejpam-5922	38	3	allow	allow	VERB
ejpam-5922	38	4	auxiliary	auxiliary	ADJ
ejpam-5922	38	5	information	information	NOUN
ejpam-5922	38	6	to	to	PART
ejpam-5922	38	7	create	create	VERB
ejpam-5922	38	8	estimators	estimator	NOUN
ejpam-5922	38	9	that	that	PRON
ejpam-5922	38	10	deliver	deliver	VERB
ejpam-5922	38	11	robust	robust	ADJ
ejpam-5922	38	12	results	result	NOUN
ejpam-5922	38	13	particularly	particularly	ADV
ejpam-5922	38	14	when	when	SCONJ
ejpam-5922	38	15	outliers	outlier	NOUN
ejpam-5922	38	16	occur	occur	VERB
ejpam-5922	38	17	.	.	PUNCT
ejpam-5922	39	1	several	several	ADJ
ejpam-5922	39	2	researchers	researcher	NOUN
ejpam-5922	39	3	have	have	AUX
ejpam-5922	39	4	recommended	recommend	VERB
ejpam-5922	39	5	estimators	estimator	NOUN
ejpam-5922	39	6	,	,	PUNCT
ejpam-5922	39	7	either	either	CCONJ
ejpam-5922	39	8	by	by	ADP
ejpam-5922	39	9	making	make	VERB
ejpam-5922	39	10	changes	change	NOUN
ejpam-5922	39	11	to	to	ADP
ejpam-5922	39	12	the	the	DET
ejpam-5922	39	13	already	already	ADV
ejpam-5922	39	14	existing	exist	VERB
ejpam-5922	39	15	estimators	estimator	NOUN
ejpam-5922	39	16	or	or	CCONJ
ejpam-5922	39	17	by	by	ADP
ejpam-5922	39	18	building	build	VERB
ejpam-5922	39	19	completely	completely	ADV
ejpam-5922	39	20	novel	novel	ADJ
ejpam-5922	39	21	estimators	estimator	NOUN
ejpam-5922	39	22	.	.	PUNCT
ejpam-5922	40	1	some	some	DET
ejpam-5922	40	2	notable	notable	ADJ
ejpam-5922	40	3	work	work	NOUN
ejpam-5922	40	4	by	by	ADP
ejpam-5922	40	5	these	these	DET
ejpam-5922	40	6	authors	author	NOUN
ejpam-5922	40	7	includes	include	VERB
ejpam-5922	40	8	[	[	X
ejpam-5922	40	9	3	3	NUM
ejpam-5922	40	10	,	,	PUNCT
ejpam-5922	40	11	4	4	NUM
ejpam-5922	40	12	,	,	PUNCT
ejpam-5922	40	13	5	5	NUM
ejpam-5922	40	14	]	]	PUNCT
ejpam-5922	40	15	,	,	PUNCT
ejpam-5922	41	1	[	[	X
ejpam-5922	41	2	7–15	7–15	NOUN
ejpam-5922	41	3	]	]	PUNCT
ejpam-5922	41	4	,	,	PUNCT
ejpam-5922	41	5	[	[	X
ejpam-5922	41	6	16	16	NUM
ejpam-5922	41	7	,	,	PUNCT
ejpam-5922	41	8	17	17	NUM
ejpam-5922	41	9	,	,	PUNCT
ejpam-5922	41	10	18	18	NUM
ejpam-5922	41	11	,	,	PUNCT
ejpam-5922	41	12	19	19	NUM
ejpam-5922	41	13	,	,	PUNCT
ejpam-5922	41	14	20	20	NUM
ejpam-5922	41	15	,	,	PUNCT
ejpam-5922	41	16	21	21	NUM
ejpam-5922	41	17	,	,	PUNCT
ejpam-5922	41	18	22	22	NUM
ejpam-5922	41	19	,	,	PUNCT
ejpam-5922	41	20	23	23	NUM
ejpam-5922	41	21	]	]	PUNCT
ejpam-5922	41	22	and	and	CCONJ
ejpam-5922	41	23	[	[	X
ejpam-5922	41	24	24	24	NUM
ejpam-5922	41	25	]	]	PUNCT
ejpam-5922	41	26	.	.	PUNCT
ejpam-5922	42	1	the	the	DET
ejpam-5922	42	2	main	main	ADJ
ejpam-5922	42	3	purpose	purpose	NOUN
ejpam-5922	42	4	of	of	ADP
ejpam-5922	42	5	this	this	DET
ejpam-5922	42	6	work	work	NOUN
ejpam-5922	42	7	is	be	AUX
ejpam-5922	42	8	developed	develop	VERB
ejpam-5922	42	9	a	a	DET
ejpam-5922	42	10	new	new	ADJ
ejpam-5922	42	11	generalized	generalized	ADJ
ejpam-5922	42	12	class	class	NOUN
ejpam-5922	42	13	of	of	ADP
ejpam-5922	42	14	estimators	estimator	NOUN
ejpam-5922	42	15	using	use	VERB
ejpam-5922	42	16	auxiliary	auxiliary	ADJ
ejpam-5922	42	17	information	information	NOUN
ejpam-5922	42	18	for	for	ADP
ejpam-5922	42	19	achieving	achieve	VERB
ejpam-5922	42	20	precise	precise	ADJ
ejpam-5922	42	21	median	median	ADJ
ejpam-5922	42	22	estimation	estimation	NOUN
ejpam-5922	42	23	.	.	PUNCT
ejpam-5922	43	1	this	this	DET
ejpam-5922	43	2	work	work	NOUN
ejpam-5922	43	3	increases	increase	VERB
ejpam-5922	43	4	the	the	DET
ejpam-5922	43	5	efficiency	efficiency	NOUN
ejpam-5922	43	6	of	of	ADP
ejpam-5922	43	7	median	median	ADJ
ejpam-5922	43	8	estimation	estimation	NOUN
ejpam-5922	43	9	performance	performance	NOUN
ejpam-5922	43	10	in	in	ADP
ejpam-5922	43	11	multiple	multiple	ADJ
ejpam-5922	43	12	statistical	statistical	ADJ
ejpam-5922	43	13	models	model	NOUN
ejpam-5922	43	14	through	through	ADP
ejpam-5922	43	15	deliberate	deliberate	ADJ
ejpam-5922	43	16	use	use	NOUN
ejpam-5922	43	17	of	of	ADP
ejpam-5922	43	18	auxiliary	auxiliary	ADJ
ejpam-5922	43	19	information	information	NOUN
ejpam-5922	43	20	.	.	PUNCT
ejpam-5922	44	1	the	the	DET
ejpam-5922	44	2	study	study	NOUN
ejpam-5922	44	3	investigates	investigate	VERB
ejpam-5922	44	4	both	both	DET
ejpam-5922	44	5	consistency	consistency	NOUN
ejpam-5922	44	6	and	and	CCONJ
ejpam-5922	44	7	unbiasedness	unbiasedness	NOUN
ejpam-5922	44	8	as	as	ADP
ejpam-5922	44	9	statistical	statistical	ADJ
ejpam-5922	44	10	properties	property	NOUN
ejpam-5922	44	11	of	of	ADP
ejpam-5922	44	12	the	the	DET
ejpam-5922	44	13	proposed	propose	VERB
ejpam-5922	44	14	estimators	estimator	NOUN
ejpam-5922	44	15	.	.	PUNCT
ejpam-5922	45	1	the	the	DET
ejpam-5922	45	2	paper	paper	NOUN
ejpam-5922	45	3	performs	perform	VERB
ejpam-5922	45	4	an	an	DET
ejpam-5922	45	5	analysis	analysis	NOUN
ejpam-5922	45	6	of	of	ADP
ejpam-5922	45	7	new	new	ADJ
ejpam-5922	45	8	estimators	estimator	NOUN
ejpam-5922	45	9	versus	versus	ADP
ejpam-5922	45	10	standard	standard	ADJ
ejpam-5922	45	11	methods	method	NOUN
ejpam-5922	45	12	while	while	SCONJ
ejpam-5922	45	13	demonstrating	demonstrate	VERB
ejpam-5922	45	14	their	their	PRON
ejpam-5922	45	15	use	use	NOUN
ejpam-5922	45	16	in	in	ADP
ejpam-5922	45	17	practical	practical	ADJ
ejpam-5922	45	18	situations	situation	NOUN
ejpam-5922	45	19	s.	s.	PROPN
ejpam-5922	45	20	ahmad	ahmad	PROPN
ejpam-5922	45	21	et	et	PROPN
ejpam-5922	45	22	al	al	PROPN
ejpam-5922	45	23	.	.	PUNCT
ejpam-5922	45	24	/	/	SYM
ejpam-5922	45	25	eur	eur	PROPN
ejpam-5922	45	26	.	.	PUNCT
ejpam-5922	46	1	j.	j.	PROPN
ejpam-5922	46	2	pure	pure	PROPN
ejpam-5922	46	3	appl	appl	PROPN
ejpam-5922	46	4	.	.	PROPN
ejpam-5922	46	5	math	math	PROPN
ejpam-5922	46	6	,	,	PUNCT
ejpam-5922	46	7	18	18	NUM
ejpam-5922	46	8	(	(	PUNCT
ejpam-5922	46	9	2	2	NUM
ejpam-5922	46	10	)	)	PUNCT
ejpam-5922	46	11	(	(	PUNCT
ejpam-5922	46	12	2025	2025	NUM
ejpam-5922	46	13	)	)	PUNCT
ejpam-5922	46	14	,	,	PUNCT
ejpam-5922	46	15	5922	5922	NUM
ejpam-5922	46	16	3	3	NUM
ejpam-5922	46	17	of	of	ADP
ejpam-5922	46	18	17	17	NUM
ejpam-5922	46	19	to	to	PART
ejpam-5922	46	20	explain	explain	VERB
ejpam-5922	46	21	enhanced	enhanced	ADJ
ejpam-5922	46	22	accuracy	accuracy	NOUN
ejpam-5922	46	23	potential	potential	NOUN
ejpam-5922	46	24	in	in	ADP
ejpam-5922	46	25	estimation	estimation	NOUN
ejpam-5922	46	26	.	.	PUNCT
ejpam-5922	47	1	this	this	DET
ejpam-5922	47	2	paper	paper	NOUN
ejpam-5922	47	3	makes	make	VERB
ejpam-5922	47	4	a	a	DET
ejpam-5922	47	5	significant	significant	ADJ
ejpam-5922	47	6	contribution	contribution	NOUN
ejpam-5922	47	7	toward	toward	ADP
ejpam-5922	47	8	enhancing	enhance	VERB
ejpam-5922	47	9	median	median	ADJ
ejpam-5922	47	10	estimation	estimation	NOUN
ejpam-5922	47	11	accuracy	accuracy	NOUN
ejpam-5922	47	12	through	through	ADP
ejpam-5922	47	13	the	the	DET
ejpam-5922	47	14	use	use	NOUN
ejpam-5922	47	15	of	of	ADP
ejpam-5922	47	16	auxiliary	auxiliary	ADJ
ejpam-5922	47	17	information	information	NOUN
ejpam-5922	47	18	.	.	PUNCT
ejpam-5922	48	1	the	the	DET
ejpam-5922	48	2	proposed	propose	VERB
ejpam-5922	48	3	estimators	estimator	NOUN
ejpam-5922	48	4	provide	provide	VERB
ejpam-5922	48	5	flexibility	flexibility	NOUN
ejpam-5922	48	6	which	which	PRON
ejpam-5922	48	7	enables	enable	VERB
ejpam-5922	48	8	them	they	PRON
ejpam-5922	48	9	to	to	PART
ejpam-5922	48	10	process	process	VERB
ejpam-5922	48	11	diverse	diverse	ADJ
ejpam-5922	48	12	data	datum	NOUN
ejpam-5922	48	13	types	type	NOUN
ejpam-5922	48	14	so	so	SCONJ
ejpam-5922	48	15	they	they	PRON
ejpam-5922	48	16	can	can	AUX
ejpam-5922	48	17	be	be	AUX
ejpam-5922	48	18	utilized	utilize	VERB
ejpam-5922	48	19	throughout	throughout	ADP
ejpam-5922	48	20	economic	economic	ADJ
ejpam-5922	48	21	sectors	sector	NOUN
ejpam-5922	48	22	and	and	CCONJ
ejpam-5922	48	23	medical	medical	ADJ
ejpam-5922	48	24	practices	practice	NOUN
ejpam-5922	48	25	and	and	CCONJ
ejpam-5922	48	26	social	social	ADJ
ejpam-5922	48	27	science	science	NOUN
ejpam-5922	48	28	applications	application	NOUN
ejpam-5922	48	29	.	.	PUNCT
ejpam-5922	49	1	median	median	ADJ
ejpam-5922	49	2	estimation	estimation	NOUN
ejpam-5922	49	3	improvements	improvement	NOUN
ejpam-5922	49	4	through	through	ADP
ejpam-5922	49	5	auxiliary	auxiliary	ADJ
ejpam-5922	49	6	data	datum	NOUN
ejpam-5922	49	7	lead	lead	VERB
ejpam-5922	49	8	to	to	ADP
ejpam-5922	49	9	enhanced	enhanced	ADJ
ejpam-5922	49	10	decision	decision	NOUN
ejpam-5922	49	11	-	-	PUNCT
ejpam-5922	49	12	making	making	NOUN
ejpam-5922	49	13	in	in	ADP
ejpam-5922	49	14	both	both	PRON
ejpam-5922	49	15	policy	policy	NOUN
ejpam-5922	49	16	analysis	analysis	NOUN
ejpam-5922	49	17	and	and	CCONJ
ejpam-5922	49	18	medical	medical	ADJ
ejpam-5922	49	19	diagnostics	diagnostic	NOUN
ejpam-5922	49	20	along	along	ADP
ejpam-5922	49	21	with	with	ADP
ejpam-5922	49	22	precise	precise	ADJ
ejpam-5922	49	23	statistical	statistical	ADJ
ejpam-5922	49	24	analysis	analysis	NOUN
ejpam-5922	49	25	of	of	ADP
ejpam-5922	49	26	other	other	ADJ
ejpam-5922	49	27	fields	field	NOUN
ejpam-5922	49	28	.	.	PUNCT
ejpam-5922	50	1	the	the	DET
ejpam-5922	50	2	paper	paper	NOUN
ejpam-5922	50	3	includes	include	VERB
ejpam-5922	50	4	a	a	DET
ejpam-5922	50	5	theoretical	theoretical	ADJ
ejpam-5922	50	6	evaluation	evaluation	NOUN
ejpam-5922	50	7	of	of	ADP
ejpam-5922	50	8	these	these	DET
ejpam-5922	50	9	generalized	generalize	VERB
ejpam-5922	50	10	estimators	estimator	NOUN
ejpam-5922	50	11	’	'	PUNCT
ejpam-5922	50	12	statistical	statistical	ADJ
ejpam-5922	50	13	characteristics	characteristic	NOUN
ejpam-5922	50	14	which	which	PRON
ejpam-5922	50	15	includes	include	VERB
ejpam-5922	50	16	unbiasedness	unbiasedness	NOUN
ejpam-5922	50	17	and	and	CCONJ
ejpam-5922	50	18	consistency	consistency	NOUN
ejpam-5922	50	19	and	and	CCONJ
ejpam-5922	50	20	efficiency	efficiency	NOUN
ejpam-5922	50	21	to	to	PART
ejpam-5922	50	22	prove	prove	VERB
ejpam-5922	50	23	their	their	PRON
ejpam-5922	50	24	validity	validity	NOUN
ejpam-5922	50	25	.	.	PUNCT
ejpam-5922	51	1	the	the	DET
ejpam-5922	51	2	research	research	NOUN
ejpam-5922	51	3	has	have	VERB
ejpam-5922	51	4	major	major	ADJ
ejpam-5922	51	5	implications	implication	NOUN
ejpam-5922	51	6	because	because	SCONJ
ejpam-5922	51	7	it	it	PRON
ejpam-5922	51	8	enhances	enhance	VERB
ejpam-5922	51	9	both	both	PRON
ejpam-5922	51	10	statistical	statistical	ADJ
ejpam-5922	51	11	methods	method	NOUN
ejpam-5922	51	12	and	and	CCONJ
ejpam-5922	51	13	field	field	NOUN
ejpam-5922	51	14	applications	application	NOUN
ejpam-5922	51	15	of	of	ADP
ejpam-5922	51	16	median	median	ADJ
ejpam-5922	51	17	estimation	estimation	NOUN
ejpam-5922	51	18	techniques	technique	NOUN
ejpam-5922	51	19	in	in	ADP
ejpam-5922	51	20	empirical	empirical	ADJ
ejpam-5922	51	21	situations	situation	NOUN
ejpam-5922	51	22	.	.	PUNCT
ejpam-5922	52	1	to	to	PART
ejpam-5922	52	2	account	account	VERB
ejpam-5922	52	3	for	for	ADP
ejpam-5922	52	4	situations	situation	NOUN
ejpam-5922	52	5	in	in	ADP
ejpam-5922	52	6	which	which	PRON
ejpam-5922	52	7	the	the	DET
ejpam-5922	52	8	population	population	NOUN
ejpam-5922	52	9	distribution	distribution	NOUN
ejpam-5922	52	10	is	be	AUX
ejpam-5922	52	11	not	not	PART
ejpam-5922	52	12	normally	normally	ADV
ejpam-5922	52	13	distributed	distribute	VERB
ejpam-5922	52	14	,	,	PUNCT
ejpam-5922	52	15	we	we	PRON
ejpam-5922	52	16	generate	generate	VERB
ejpam-5922	52	17	estimators	estimator	NOUN
ejpam-5922	52	18	for	for	ADP
ejpam-5922	52	19	estimation	estimation	NOUN
ejpam-5922	52	20	of	of	ADP
ejpam-5922	52	21	population	population	NOUN
ejpam-5922	52	22	median	median	NOUN
ejpam-5922	52	23	in	in	ADP
ejpam-5922	52	24	the	the	DET
ejpam-5922	52	25	current	current	ADJ
ejpam-5922	52	26	study	study	NOUN
ejpam-5922	52	27	.	.	PUNCT
ejpam-5922	53	1	the	the	DET
ejpam-5922	53	2	remaining	remain	VERB
ejpam-5922	53	3	of	of	ADP
ejpam-5922	53	4	the	the	DET
ejpam-5922	53	5	article	article	NOUN
ejpam-5922	53	6	is	be	AUX
ejpam-5922	53	7	arranged	arrange	VERB
ejpam-5922	53	8	as	as	SCONJ
ejpam-5922	53	9	follows	follow	VERB
ejpam-5922	53	10	:	:	PUNCT
ejpam-5922	53	11	section	section	NOUN
ejpam-5922	53	12	2	2	NUM
ejpam-5922	53	13	,	,	PUNCT
ejpam-5922	53	14	include	include	VERB
ejpam-5922	53	15	the	the	DET
ejpam-5922	53	16	procedures	procedure	NOUN
ejpam-5922	53	17	and	and	CCONJ
ejpam-5922	53	18	materials	material	NOUN
ejpam-5922	53	19	.	.	PUNCT
ejpam-5922	54	1	the	the	DET
ejpam-5922	54	2	literature	literature	PROPN
ejpam-5922	54	3	review	review	NOUN
ejpam-5922	54	4	of	of	ADP
ejpam-5922	54	5	the	the	DET
ejpam-5922	54	6	available	available	ADJ
ejpam-5922	54	7	estimator	estimator	NOUN
ejpam-5922	54	8	for	for	ADP
ejpam-5922	54	9	estimate	estimate	NOUN
ejpam-5922	54	10	of	of	ADP
ejpam-5922	54	11	median	median	NOUN
ejpam-5922	54	12	under	under	ADP
ejpam-5922	54	13	simple	simple	ADJ
ejpam-5922	54	14	random	random	ADJ
ejpam-5922	54	15	sample	sample	NOUN
ejpam-5922	54	16	is	be	AUX
ejpam-5922	54	17	given	give	VERB
ejpam-5922	54	18	in	in	ADP
ejpam-5922	54	19	section	section	NOUN
ejpam-5922	54	20	3	3	NUM
ejpam-5922	54	21	.	.	PUNCT
ejpam-5922	55	1	in	in	ADP
ejpam-5922	55	2	section	section	NOUN
ejpam-5922	55	3	4	4	NUM
ejpam-5922	55	4	,	,	PUNCT
ejpam-5922	55	5	we	we	PRON
ejpam-5922	55	6	provide	provide	VERB
ejpam-5922	55	7	the	the	DET
ejpam-5922	55	8	suggested	suggest	VERB
ejpam-5922	55	9	estimator	estimator	NOUN
ejpam-5922	55	10	.	.	PUNCT
ejpam-5922	56	1	the	the	DET
ejpam-5922	56	2	numerical	numerical	ADJ
ejpam-5922	56	3	study	study	NOUN
ejpam-5922	56	4	is	be	AUX
ejpam-5922	56	5	given	give	VERB
ejpam-5922	56	6	in	in	ADP
ejpam-5922	56	7	section	section	NOUN
ejpam-5922	56	8	5	5	NUM
ejpam-5922	56	9	.	.	PUNCT
ejpam-5922	57	1	in	in	ADP
ejpam-5922	57	2	section	section	NOUN
ejpam-5922	57	3	6	6	NUM
ejpam-5922	57	4	,	,	PUNCT
ejpam-5922	57	5	the	the	DET
ejpam-5922	57	6	article	article	NOUN
ejpam-5922	57	7	findings	finding	VERB
ejpam-5922	57	8	and	and	CCONJ
ejpam-5922	57	9	conclusions	conclusion	NOUN
ejpam-5922	57	10	are	be	AUX
ejpam-5922	57	11	outlined	outline	VERB
ejpam-5922	57	12	.	.	PUNCT
ejpam-5922	58	1	2	2	X
ejpam-5922	58	2	.	.	X
ejpam-5922	58	3	methods	method	NOUN
ejpam-5922	58	4	and	and	CCONJ
ejpam-5922	58	5	materials	material	NOUN
ejpam-5922	58	6	consider	consider	VERB
ejpam-5922	58	7	a	a	DET
ejpam-5922	58	8	population	population	NOUN
ejpam-5922	58	9	ω	ω	NOUN
ejpam-5922	58	10	=	=	SYM
ejpam-5922	58	11	(	(	PUNCT
ejpam-5922	58	12	ω1,ω2	ω1,ω2	PROPN
ejpam-5922	58	13	,	,	PUNCT
ejpam-5922	58	14	.	.	PUNCT
ejpam-5922	58	15	.	.	PUNCT
ejpam-5922	59	1	.	.	PUNCT
ejpam-5922	60	1	,	,	PUNCT
ejpam-5922	60	2	ωn	ωn	X
ejpam-5922	60	3	)	)	PUNCT
ejpam-5922	60	4	consisting	consist	VERB
ejpam-5922	60	5	of	of	ADP
ejpam-5922	60	6	n	n	CCONJ
ejpam-5922	60	7	divergent	divergent	ADJ
ejpam-5922	60	8	units	unit	NOUN
ejpam-5922	60	9	.	.	PUNCT
ejpam-5922	61	1	let	let	VERB
ejpam-5922	61	2	yi	yi	PROPN
ejpam-5922	61	3	and	and	CCONJ
ejpam-5922	61	4	xi	xi	X
ejpam-5922	61	5	be	be	AUX
ejpam-5922	61	6	the	the	DET
ejpam-5922	61	7	ith	ith	PROPN
ejpam-5922	61	8	standards	standard	NOUN
ejpam-5922	61	9	of	of	ADP
ejpam-5922	61	10	the	the	DET
ejpam-5922	61	11	study	study	NOUN
ejpam-5922	61	12	and	and	CCONJ
ejpam-5922	61	13	auxiliary	auxiliary	ADJ
ejpam-5922	61	14	variables	variable	NOUN
ejpam-5922	61	15	.	.	PUNCT
ejpam-5922	62	1	consider	consider	VERB
ejpam-5922	62	2	a	a	DET
ejpam-5922	62	3	sample	sample	NOUN
ejpam-5922	62	4	of	of	ADP
ejpam-5922	62	5	n	n	PROPN
ejpam-5922	62	6	is	be	AUX
ejpam-5922	62	7	chosen	choose	VERB
ejpam-5922	62	8	from	from	ADP
ejpam-5922	62	9	ω	ω	PROPN
ejpam-5922	62	10	.	.	PUNCT
ejpam-5922	63	1	the	the	DET
ejpam-5922	63	2	sample	sample	NOUN
ejpam-5922	63	3	and	and	CCONJ
ejpam-5922	63	4	population	population	NOUN
ejpam-5922	63	5	medians	median	NOUN
ejpam-5922	63	6	of	of	ADP
ejpam-5922	63	7	the	the	DET
ejpam-5922	63	8	study	study	NOUN
ejpam-5922	63	9	and	and	CCONJ
ejpam-5922	63	10	the	the	DET
ejpam-5922	63	11	auxiliary	auxiliary	ADJ
ejpam-5922	63	12	variable	variable	NOUN
ejpam-5922	63	13	are	be	AUX
ejpam-5922	63	14	denoted	denote	VERB
ejpam-5922	63	15	by	by	ADP
ejpam-5922	63	16	my	my	PRON
ejpam-5922	63	17	,	,	PUNCT
ejpam-5922	63	18	mx	mx	PROPN
ejpam-5922	63	19	,	,	PUNCT
ejpam-5922	63	20	and	and	CCONJ
ejpam-5922	63	21	m̃y	m̃y	PROPN
ejpam-5922	63	22	and	and	CCONJ
ejpam-5922	63	23	m̃x	m̃x	PROPN
ejpam-5922	63	24	with	with	ADP
ejpam-5922	63	25	probability	probability	NOUN
ejpam-5922	63	26	density	density	NOUN
ejpam-5922	63	27	functions	function	NOUN
ejpam-5922	63	28	of	of	ADP
ejpam-5922	63	29	fy(my	fy(my	PROPN
ejpam-5922	63	30	)	)	PUNCT
ejpam-5922	63	31	and	and	CCONJ
ejpam-5922	63	32	fx(mx	fx(mx	NOUN
ejpam-5922	63	33	)	)	PUNCT
ejpam-5922	63	34	.	.	PUNCT
ejpam-5922	64	1	the	the	DET
ejpam-5922	64	2	correlation	correlation	NOUN
ejpam-5922	64	3	coefficient	coefficient	NOUN
ejpam-5922	64	4	between	between	ADP
ejpam-5922	64	5	m̃y	m̃y	PROPN
ejpam-5922	64	6	and	and	CCONJ
ejpam-5922	64	7	m̃x	m̃x	NOUN
ejpam-5922	64	8	are	be	AUX
ejpam-5922	64	9	represented	represent	VERB
ejpam-5922	64	10	by	by	ADP
ejpam-5922	64	11	ρyx	ρyx	NOUN
ejpam-5922	64	12	and	and	CCONJ
ejpam-5922	64	13	is	be	AUX
ejpam-5922	64	14	defined	define	VERB
ejpam-5922	64	15	as	as	ADP
ejpam-5922	64	16	ρyx(m̃y	ρyx(m̃y	PROPN
ejpam-5922	64	17	,	,	PUNCT
ejpam-5922	64	18	m̃x	m̃x	PROPN
ejpam-5922	64	19	)	)	PUNCT
ejpam-5922	65	1	=	=	SYM
ejpam-5922	65	2	4p11(y	4p11(y	PROPN
ejpam-5922	65	3	,	,	PUNCT
ejpam-5922	65	4	x	x	NOUN
ejpam-5922	65	5	)	)	PUNCT
ejpam-5922	65	6	−	−	PROPN
ejpam-5922	65	7	1	1	NUM
ejpam-5922	65	8	,	,	PUNCT
ejpam-5922	65	9	where	where	SCONJ
ejpam-5922	65	10	p11	p11	NOUN
ejpam-5922	65	11	=	=	SYM
ejpam-5922	65	12	(	(	PUNCT
ejpam-5922	65	13	y	y	PROPN
ejpam-5922	65	14	≤my	≤my	PROPN
ejpam-5922	65	15	∩	∩	NOUN
ejpam-5922	65	16	x	x	SYM
ejpam-5922	65	17	≤mx	≤mx	ADJ
ejpam-5922	65	18	)	)	PUNCT
ejpam-5922	65	19	.	.	PUNCT
ejpam-5922	66	1	to	to	PART
ejpam-5922	66	2	obtain	obtain	VERB
ejpam-5922	66	3	the	the	DET
ejpam-5922	66	4	bias	bias	NOUN
ejpam-5922	66	5	and	and	CCONJ
ejpam-5922	66	6	mse	mse	NOUN
ejpam-5922	66	7	we	we	PRON
ejpam-5922	66	8	used	use	VERB
ejpam-5922	66	9	the	the	DET
ejpam-5922	66	10	following	follow	VERB
ejpam-5922	66	11	error	error	NOUN
ejpam-5922	66	12	terms	term	NOUN
ejpam-5922	66	13	:	:	PUNCT
ejpam-5922	66	14	ξ0	ξ0	NOUN
ejpam-5922	66	15	=	=	SYM
ejpam-5922	66	16	(	(	PUNCT
ejpam-5922	66	17	m̃y−my	m̃y−my	X
ejpam-5922	66	18	my	my	PRON
ejpam-5922	66	19	)	)	PUNCT
ejpam-5922	66	20	and	and	CCONJ
ejpam-5922	66	21	ξ1	ξ1	NOUN
ejpam-5922	66	22	=	=	SYM
ejpam-5922	66	23	(	(	PUNCT
ejpam-5922	66	24	m̃x−mx	m̃x−mx	PROPN
ejpam-5922	66	25	mx	mx	PROPN
ejpam-5922	66	26	)	)	PUNCT
ejpam-5922	66	27	,	,	PUNCT
ejpam-5922	66	28	e(ξ20	e(ξ20	ADV
ejpam-5922	66	29	)	)	PUNCT
ejpam-5922	66	30	=	=	PUNCT
ejpam-5922	66	31	λc2	λc2	VERB
ejpam-5922	66	32	my	my	PRON
ejpam-5922	66	33	,	,	PUNCT
ejpam-5922	66	34	e(ξ21	e(ξ21	NOUN
ejpam-5922	66	35	)	)	PUNCT
ejpam-5922	66	36	=	=	PUNCT
ejpam-5922	66	37	λc2	λc2	X
ejpam-5922	66	38	mx	mx	PROPN
ejpam-5922	66	39	,	,	PUNCT
ejpam-5922	66	40	e(ξ0ξ1	e(ξ0ξ1	NOUN
ejpam-5922	66	41	)	)	PUNCT
ejpam-5922	67	1	=	=	SYM
ejpam-5922	67	2	λcmyx	λcmyx	PROPN
ejpam-5922	67	3	,	,	PUNCT
ejpam-5922	67	4	where	where	SCONJ
ejpam-5922	67	5	cmy	cmy	PROPN
ejpam-5922	67	6	=	=	PUNCT
ejpam-5922	68	1	[	[	X
ejpam-5922	68	2	myfy(my)]−1	myfy(my)]−1	X
ejpam-5922	68	3	,	,	PUNCT
ejpam-5922	68	4	cmx	cmx	NOUN
ejpam-5922	68	5	=	=	PUNCT
ejpam-5922	69	1	[	[	X
ejpam-5922	69	2	mxfx(mx)]−1	mxfx(mx)]−1	INTJ
ejpam-5922	69	3	,	,	PUNCT
ejpam-5922	69	4	cmyx	cmyx	VERB
ejpam-5922	69	5	=	=	PUNCT
ejpam-5922	70	1	[	[	X
ejpam-5922	70	2	ρyxcmycmx	ρyxcmycmx	X
ejpam-5922	70	3	]	]	PUNCT
ejpam-5922	70	4	,	,	PUNCT
ejpam-5922	70	5	λ	λ	X
ejpam-5922	70	6	(	(	PUNCT
ejpam-5922	70	7	1	1	NUM
ejpam-5922	70	8	4	4	NUM
ejpam-5922	70	9	(	(	PUNCT
ejpam-5922	70	10	1	1	NUM
ejpam-5922	70	11	n	n	CCONJ
ejpam-5922	70	12	−	−	NUM
ejpam-5922	70	13	1	1	NUM
ejpam-5922	70	14	n	n	NOUN
ejpam-5922	70	15	)	)	PUNCT
ejpam-5922	70	16	)	)	PUNCT
ejpam-5922	71	1	3	3	X
ejpam-5922	71	2	.	.	X
ejpam-5922	71	3	literature	literature	NOUN
ejpam-5922	71	4	review	review	NOUN
ejpam-5922	71	5	in	in	ADP
ejpam-5922	71	6	this	this	DET
ejpam-5922	71	7	section	section	NOUN
ejpam-5922	71	8	,	,	PUNCT
ejpam-5922	71	9	we	we	PRON
ejpam-5922	71	10	have	have	AUX
ejpam-5922	71	11	discussed	discuss	VERB
ejpam-5922	71	12	existing	exist	VERB
ejpam-5922	71	13	estimators	estimator	NOUN
ejpam-5922	71	14	for	for	ADP
ejpam-5922	71	15	population	population	NOUN
ejpam-5922	71	16	median	median	NOUN
ejpam-5922	71	17	which	which	PRON
ejpam-5922	71	18	are	be	AUX
ejpam-5922	71	19	given	give	VERB
ejpam-5922	71	20	by	by	ADP
ejpam-5922	71	21	:	:	PUNCT
ejpam-5922	71	22	(	(	PUNCT
ejpam-5922	71	23	i	i	NOUN
ejpam-5922	71	24	)	)	PUNCT
ejpam-5922	71	25	the	the	PRON
ejpam-5922	72	1	[	[	X
ejpam-5922	72	2	9	9	NUM
ejpam-5922	72	3	]	]	PUNCT
ejpam-5922	72	4	recommended	recommend	VERB
ejpam-5922	72	5	a	a	DET
ejpam-5922	72	6	usual	usual	ADJ
ejpam-5922	72	7	median	median	ADJ
ejpam-5922	72	8	estimator	estimator	NOUN
ejpam-5922	72	9	,	,	PUNCT
ejpam-5922	72	10	which	which	PRON
ejpam-5922	72	11	is	be	AUX
ejpam-5922	72	12	given	give	VERB
ejpam-5922	72	13	by	by	ADP
ejpam-5922	72	14	:	:	PUNCT
ejpam-5922	72	15	m̃u	m̃u	PROPN
ejpam-5922	72	16	=	=	PROPN
ejpam-5922	72	17	m̃y	m̃y	PROPN
ejpam-5922	72	18	(	(	PUNCT
ejpam-5922	72	19	1	1	X
ejpam-5922	72	20	)	)	PUNCT
ejpam-5922	72	21	s.	s.	PROPN
ejpam-5922	72	22	ahmad	ahmad	PROPN
ejpam-5922	72	23	et	et	PROPN
ejpam-5922	72	24	al	al	PROPN
ejpam-5922	72	25	.	.	PUNCT
ejpam-5922	72	26	/	/	SYM
ejpam-5922	72	27	eur	eur	PROPN
ejpam-5922	72	28	.	.	PUNCT
ejpam-5922	73	1	j.	j.	PROPN
ejpam-5922	73	2	pure	pure	PROPN
ejpam-5922	73	3	appl	appl	PROPN
ejpam-5922	73	4	.	.	PROPN
ejpam-5922	73	5	math	math	PROPN
ejpam-5922	73	6	,	,	PUNCT
ejpam-5922	73	7	18	18	NUM
ejpam-5922	73	8	(	(	PUNCT
ejpam-5922	73	9	2	2	NUM
ejpam-5922	73	10	)	)	PUNCT
ejpam-5922	73	11	(	(	PUNCT
ejpam-5922	73	12	2025	2025	NUM
ejpam-5922	73	13	)	)	PUNCT
ejpam-5922	73	14	,	,	PUNCT
ejpam-5922	73	15	5922	5922	NUM
ejpam-5922	73	16	4	4	NUM
ejpam-5922	73	17	of	of	ADP
ejpam-5922	73	18	17	17	NUM
ejpam-5922	73	19	the	the	DET
ejpam-5922	73	20	variance	variance	NOUN
ejpam-5922	73	21	of	of	ADP
ejpam-5922	73	22	m̃u	m̃u	PROPN
ejpam-5922	73	23	is	be	AUX
ejpam-5922	73	24	given	give	VERB
ejpam-5922	73	25	by	by	ADP
ejpam-5922	73	26	:	:	PUNCT
ejpam-5922	73	27	v	v	NOUN
ejpam-5922	73	28	ar(mu	ar(mu	NOUN
ejpam-5922	73	29	)	)	PUNCT
ejpam-5922	74	1	=	=	PUNCT
ejpam-5922	75	1	λm2	λm2	NOUN
ejpam-5922	75	2	yc	yc	X
ejpam-5922	75	3	2	2	NUM
ejpam-5922	75	4	my	my	PRON
ejpam-5922	75	5	(	(	PUNCT
ejpam-5922	75	6	2	2	NUM
ejpam-5922	75	7	)	)	PUNCT
ejpam-5922	75	8	(	(	PUNCT
ejpam-5922	75	9	ii	ii	NOUN
ejpam-5922	75	10	)	)	PUNCT
ejpam-5922	75	11	the	the	PRON
ejpam-5922	76	1	[	[	X
ejpam-5922	76	2	12	12	NUM
ejpam-5922	76	3	]	]	PUNCT
ejpam-5922	76	4	recommended	recommend	VERB
ejpam-5922	76	5	ratio	ratio	NOUN
ejpam-5922	76	6	estimator	estimator	NOUN
ejpam-5922	76	7	for	for	ADP
ejpam-5922	76	8	median	median	NOUN
ejpam-5922	76	9	,	,	PUNCT
ejpam-5922	76	10	is	be	AUX
ejpam-5922	76	11	given	give	VERB
ejpam-5922	76	12	by	by	ADP
ejpam-5922	76	13	:	:	PUNCT
ejpam-5922	76	14	m̃r	m̃r	NOUN
ejpam-5922	76	15	=	=	SYM
ejpam-5922	76	16	m̃y	m̃y	PROPN
ejpam-5922	76	17	(	(	PUNCT
ejpam-5922	76	18	mx	mx	PROPN
ejpam-5922	76	19	m̃x	m̃x	PROPN
ejpam-5922	76	20	)	)	PUNCT
ejpam-5922	76	21	(	(	PUNCT
ejpam-5922	76	22	3	3	X
ejpam-5922	76	23	)	)	PUNCT
ejpam-5922	76	24	the	the	DET
ejpam-5922	76	25	bias	bias	NOUN
ejpam-5922	76	26	and	and	CCONJ
ejpam-5922	76	27	mse	mse	PROPN
ejpam-5922	76	28	of	of	ADP
ejpam-5922	76	29	mr	mr	PROPN
ejpam-5922	76	30	are	be	AUX
ejpam-5922	76	31	given	give	VERB
ejpam-5922	76	32	by	by	ADP
ejpam-5922	76	33	:	:	PUNCT
ejpam-5922	76	34	bias(mr	bias(mr	NOUN
ejpam-5922	76	35	)	)	PUNCT
ejpam-5922	76	36	=	=	PUNCT
ejpam-5922	77	1	λmy[c2	λmy[c2	X
ejpam-5922	77	2	my	my	PRON
ejpam-5922	77	3	−	−	PROPN
ejpam-5922	77	4	cmyx	cmyx	PROPN
ejpam-5922	77	5	]	]	X
ejpam-5922	77	6	,	,	PUNCT
ejpam-5922	77	7	and	and	CCONJ
ejpam-5922	77	8	mse(m̃r	mse(m̃r	NOUN
ejpam-5922	77	9	)	)	PUNCT
ejpam-5922	78	1	≈	≈	PROPN
ejpam-5922	79	1	λm2	λm2	NOUN
ejpam-5922	79	2	y	y	PROPN
ejpam-5922	80	1	[	[	X
ejpam-5922	80	2	c2	c2	VERB
ejpam-5922	80	3	my	my	PRON
ejpam-5922	80	4	+	+	NOUN
ejpam-5922	80	5	c2	c2	PROPN
ejpam-5922	80	6	mx	mx	PROPN
ejpam-5922	81	1	−	−	PROPN
ejpam-5922	82	1	2cmyx	2cmyx	PROPN
ejpam-5922	82	2	]	]	PUNCT
ejpam-5922	82	3	.	.	PUNCT
ejpam-5922	83	1	(	(	PUNCT
ejpam-5922	83	2	4	4	NUM
ejpam-5922	83	3	)	)	PUNCT
ejpam-5922	83	4	(	(	PUNCT
ejpam-5922	83	5	iii	iii	X
ejpam-5922	83	6	)	)	PUNCT
ejpam-5922	83	7	the	the	DET
ejpam-5922	83	8	[	[	X
ejpam-5922	83	9	14	14	NUM
ejpam-5922	83	10	]	]	PUNCT
ejpam-5922	83	11	suggested	suggest	VERB
ejpam-5922	83	12	the	the	DET
ejpam-5922	83	13	usual	usual	ADJ
ejpam-5922	83	14	difference	difference	NOUN
ejpam-5922	83	15	estimator	estimator	NOUN
ejpam-5922	83	16	m̃d	m̃d	PROPN
ejpam-5922	83	17	,	,	PUNCT
ejpam-5922	83	18	which	which	PRON
ejpam-5922	83	19	is	be	AUX
ejpam-5922	83	20	given	give	VERB
ejpam-5922	83	21	by	by	ADP
ejpam-5922	83	22	:	:	PUNCT
ejpam-5922	83	23	m̃d	m̃d	PROPN
ejpam-5922	83	24	=	=	PUNCT
ejpam-5922	84	1	m̃y	m̃y	PROPN
ejpam-5922	84	2	+	+	ADJ
ejpam-5922	84	3	d1(mx	d1(mx	PROPN
ejpam-5922	84	4	−	−	PROPN
ejpam-5922	84	5	m̃x	m̃x	NOUN
ejpam-5922	84	6	)	)	PUNCT
ejpam-5922	84	7	(	(	PUNCT
ejpam-5922	84	8	5	5	X
ejpam-5922	84	9	)	)	PUNCT
ejpam-5922	84	10	the	the	DET
ejpam-5922	84	11	variance	variance	NOUN
ejpam-5922	84	12	of	of	ADP
ejpam-5922	84	13	(	(	PUNCT
ejpam-5922	84	14	m̃d	m̃d	PROPN
ejpam-5922	84	15	):	):	PUNCT
ejpam-5922	84	16	v	v	PROPN
ejpam-5922	84	17	(	(	PUNCT
ejpam-5922	84	18	m̃d	m̃d	PROPN
ejpam-5922	84	19	)	)	PUNCT
ejpam-5922	85	1	=	=	PUNCT
ejpam-5922	86	1	λm2	λm2	NOUN
ejpam-5922	86	2	yc	yc	X
ejpam-5922	86	3	2	2	NUM
ejpam-5922	86	4	my(1	my(1	NOUN
ejpam-5922	86	5	−	−	PROPN
ejpam-5922	86	6	ρ2yx	ρ2yx	NUM
ejpam-5922	86	7	)	)	PUNCT
ejpam-5922	86	8	(	(	PUNCT
ejpam-5922	86	9	6	6	NUM
ejpam-5922	86	10	)	)	PUNCT
ejpam-5922	86	11	(	(	PUNCT
ejpam-5922	86	12	iv	iv	X
ejpam-5922	86	13	)	)	PUNCT
ejpam-5922	86	14	the	the	DET
ejpam-5922	86	15	exponential	exponential	ADJ
ejpam-5922	86	16	ratio	ratio	NOUN
ejpam-5922	86	17	estimator	estimator	NOUN
ejpam-5922	86	18	developed	develop	VERB
ejpam-5922	86	19	by	by	ADP
ejpam-5922	86	20	[	[	X
ejpam-5922	86	21	24	24	NUM
ejpam-5922	86	22	]	]	PUNCT
ejpam-5922	86	23	is	be	AUX
ejpam-5922	86	24	given	give	VERB
ejpam-5922	86	25	by	by	ADP
ejpam-5922	86	26	:	:	PUNCT
ejpam-5922	86	27	m̃e	m̃e	NOUN
ejpam-5922	86	28	=	=	X
ejpam-5922	86	29	m̃yexp	m̃yexp	PROPN
ejpam-5922	86	30	(	(	PUNCT
ejpam-5922	86	31	mx	mx	PROPN
ejpam-5922	86	32	−	−	PROPN
ejpam-5922	86	33	m̃x	m̃x	PROPN
ejpam-5922	86	34	mx	mx	PROPN
ejpam-5922	86	35	+	+	PROPN
ejpam-5922	86	36	m̃x	m̃x	PROPN
ejpam-5922	86	37	)	)	PUNCT
ejpam-5922	86	38	,	,	PUNCT
ejpam-5922	86	39	(	(	PUNCT
ejpam-5922	86	40	7	7	X
ejpam-5922	86	41	)	)	PUNCT
ejpam-5922	86	42	the	the	DET
ejpam-5922	86	43	bias	bias	NOUN
ejpam-5922	86	44	and	and	CCONJ
ejpam-5922	86	45	mse	mse	PROPN
ejpam-5922	86	46	of	of	ADP
ejpam-5922	86	47	(	(	PUNCT
ejpam-5922	86	48	m̃e	m̃e	INTJ
ejpam-5922	86	49	)	)	PUNCT
ejpam-5922	86	50	,	,	PUNCT
ejpam-5922	86	51	are	be	AUX
ejpam-5922	86	52	given	give	VERB
ejpam-5922	86	53	by	by	ADP
ejpam-5922	86	54	:	:	PUNCT
ejpam-5922	86	55	bias(m̃e	bias(m̃e	X
ejpam-5922	86	56	)	)	PUNCT
ejpam-5922	86	57	∼=	∼=	PROPN
ejpam-5922	86	58	λmy	λmy	NOUN
ejpam-5922	86	59	[	[	PUNCT
ejpam-5922	86	60	3	3	NUM
ejpam-5922	86	61	4	4	NUM
ejpam-5922	86	62	c2	c2	PROPN
ejpam-5922	86	63	mx	mx	PROPN
ejpam-5922	86	64	−	−	NOUN
ejpam-5922	86	65	1	1	NUM
ejpam-5922	86	66	2	2	NUM
ejpam-5922	86	67	cmyx	cmyx	NOUN
ejpam-5922	86	68	]	]	PUNCT
ejpam-5922	86	69	,	,	PUNCT
ejpam-5922	86	70	mse(m̃e	mse(m̃e	PROPN
ejpam-5922	86	71	)	)	PUNCT
ejpam-5922	86	72	∼=	∼=	PART
ejpam-5922	87	1	λm2	λm2	NOUN
ejpam-5922	87	2	y	y	PROPN
ejpam-5922	87	3	[	[	PUNCT
ejpam-5922	87	4	c2	c2	VERB
ejpam-5922	87	5	my	my	PRON
ejpam-5922	87	6	+	+	NOUN
ejpam-5922	87	7	1	1	NUM
ejpam-5922	87	8	4	4	NUM
ejpam-5922	87	9	c2	c2	PROPN
ejpam-5922	87	10	mx	mx	PROPN
ejpam-5922	88	1	−	−	PROPN
ejpam-5922	88	2	cmyx	cmyx	PROPN
ejpam-5922	88	3	]	]	PUNCT
ejpam-5922	88	4	.	.	PUNCT
ejpam-5922	89	1	(	(	PUNCT
ejpam-5922	89	2	8)	8)	NUM
ejpam-5922	89	3	(	(	PUNCT
ejpam-5922	89	4	v	v	NOUN
ejpam-5922	89	5	)	)	PUNCT
ejpam-5922	89	6	the	the	PRON
ejpam-5922	90	1	[	[	X
ejpam-5922	90	2	13	13	NUM
ejpam-5922	90	3	]	]	PUNCT
ejpam-5922	90	4	proposed	propose	VERB
ejpam-5922	90	5	the	the	DET
ejpam-5922	90	6	difference	difference	NOUN
ejpam-5922	90	7	-	-	PUNCT
ejpam-5922	90	8	in	in	ADP
ejpam-5922	90	9	-	-	PUNCT
ejpam-5922	90	10	difference	difference	NOUN
ejpam-5922	90	11	estimator	estimator	NOUN
ejpam-5922	90	12	,	,	PUNCT
ejpam-5922	90	13	which	which	PRON
ejpam-5922	90	14	is	be	AUX
ejpam-5922	90	15	given	give	VERB
ejpam-5922	90	16	by	by	ADP
ejpam-5922	90	17	:	:	PUNCT
ejpam-5922	90	18	m̃rd1	m̃rd1	NOUN
ejpam-5922	90	19	=	=	PUNCT
ejpam-5922	90	20	d2m̃y	d2m̃y	PROPN
ejpam-5922	90	21	+	+	CCONJ
ejpam-5922	90	22	d3(mx	d3(mx	PROPN
ejpam-5922	90	23	−	−	PROPN
ejpam-5922	90	24	m̃x	m̃x	PROPN
ejpam-5922	90	25	)	)	PUNCT
ejpam-5922	90	26	,	,	PUNCT
ejpam-5922	90	27	(	(	PUNCT
ejpam-5922	90	28	9	9	X
ejpam-5922	90	29	)	)	PUNCT
ejpam-5922	90	30	the	the	DET
ejpam-5922	90	31	values	value	NOUN
ejpam-5922	90	32	of	of	ADP
ejpam-5922	90	33	(	(	PUNCT
ejpam-5922	90	34	d2	d2	PROPN
ejpam-5922	90	35	)	)	PUNCT
ejpam-5922	90	36	and	and	CCONJ
ejpam-5922	90	37	(	(	PUNCT
ejpam-5922	90	38	d3	d3	PROPN
ejpam-5922	90	39	)	)	PUNCT
ejpam-5922	90	40	are	be	AUX
ejpam-5922	90	41	given	give	VERB
ejpam-5922	90	42	by	by	ADP
ejpam-5922	90	43	:	:	PUNCT
ejpam-5922	90	44	d2	d2	PROPN
ejpam-5922	90	45	=	=	SYM
ejpam-5922	90	46	1	1	NUM
ejpam-5922	90	47	1	1	NUM
ejpam-5922	90	48	+	+	CCONJ
ejpam-5922	90	49	λc2	λc2	VERB
ejpam-5922	90	50	my(1	my(1	NOUN
ejpam-5922	90	51	−	−	NOUN
ejpam-5922	90	52	ρ2yx	ρ2yx	PUNCT
ejpam-5922	90	53	)	)	PUNCT
ejpam-5922	91	1	s.	s.	PROPN
ejpam-5922	91	2	ahmad	ahmad	PROPN
ejpam-5922	91	3	et	et	PROPN
ejpam-5922	91	4	al	al	PROPN
ejpam-5922	91	5	.	.	PUNCT
ejpam-5922	91	6	/	/	SYM
ejpam-5922	91	7	eur	eur	PROPN
ejpam-5922	91	8	.	.	PUNCT
ejpam-5922	92	1	j.	j.	PROPN
ejpam-5922	92	2	pure	pure	PROPN
ejpam-5922	92	3	appl	appl	PROPN
ejpam-5922	92	4	.	.	PROPN
ejpam-5922	92	5	math	math	PROPN
ejpam-5922	92	6	,	,	PUNCT
ejpam-5922	92	7	18	18	NUM
ejpam-5922	92	8	(	(	PUNCT
ejpam-5922	92	9	2	2	NUM
ejpam-5922	92	10	)	)	PUNCT
ejpam-5922	92	11	(	(	PUNCT
ejpam-5922	92	12	2025	2025	NUM
ejpam-5922	92	13	)	)	PUNCT
ejpam-5922	92	14	,	,	PUNCT
ejpam-5922	92	15	5922	5922	NUM
ejpam-5922	92	16	5	5	NUM
ejpam-5922	92	17	of	of	ADP
ejpam-5922	92	18	17	17	NUM
ejpam-5922	92	19	d3	d3	PROPN
ejpam-5922	92	20	=	=	PRON
ejpam-5922	92	21	mycmyρyx	mycmyρyx	VERB
ejpam-5922	92	22	mxcmx{1	mxcmx{1	NOUN
ejpam-5922	92	23	+	+	CCONJ
ejpam-5922	92	24	λc2	λc2	X
ejpam-5922	92	25	my(1	my(1	NOUN
ejpam-5922	92	26	−	−	NOUN
ejpam-5922	92	27	ρ2yx	ρ2yx	PUNCT
ejpam-5922	92	28	)	)	PUNCT
ejpam-5922	92	29	}	}	PUNCT
ejpam-5922	92	30	.	.	PUNCT
ejpam-5922	93	1	the	the	DET
ejpam-5922	93	2	minimum	minimum	PROPN
ejpam-5922	93	3	mse	mse	PROPN
ejpam-5922	93	4	of	of	ADP
ejpam-5922	93	5	(	(	PUNCT
ejpam-5922	93	6	m̃rd1	m̃rd1	PROPN
ejpam-5922	93	7	)	)	PUNCT
ejpam-5922	93	8	is	be	AUX
ejpam-5922	93	9	given	give	VERB
ejpam-5922	93	10	by	by	ADP
ejpam-5922	93	11	:	:	PUNCT
ejpam-5922	93	12	mse(m̃rd1)min	mse(m̃rd1)min	NOUN
ejpam-5922	93	13	=	=	NOUN
ejpam-5922	93	14	λm2	λm2	NOUN
ejpam-5922	93	15	yc	yc	X
ejpam-5922	93	16	2	2	NUM
ejpam-5922	93	17	my(1	my(1	NOUN
ejpam-5922	93	18	−	−	PROPN
ejpam-5922	93	19	ρ2yx	ρ2yx	PUNCT
ejpam-5922	93	20	)	)	PUNCT
ejpam-5922	94	1	[	[	X
ejpam-5922	94	2	1	1	NUM
ejpam-5922	94	3	+	+	NUM
ejpam-5922	94	4	λc2	λc2	VERB
ejpam-5922	94	5	my(1	my(1	NOUN
ejpam-5922	94	6	−	−	NOUN
ejpam-5922	94	7	ρ2yx	ρ2yx	PUNCT
ejpam-5922	94	8	)	)	PUNCT
ejpam-5922	94	9	]	]	PUNCT
ejpam-5922	95	1	(	(	PUNCT
ejpam-5922	95	2	10	10	NUM
ejpam-5922	95	3	)	)	PUNCT
ejpam-5922	95	4	(	(	PUNCT
ejpam-5922	95	5	vi	vi	X
ejpam-5922	95	6	)	)	PUNCT
ejpam-5922	95	7	the	the	PRON
ejpam-5922	95	8	[	[	X
ejpam-5922	95	9	8	8	NUM
ejpam-5922	95	10	]	]	PUNCT
ejpam-5922	95	11	recommended	recommend	VERB
ejpam-5922	95	12	the	the	DET
ejpam-5922	95	13	following	follow	VERB
ejpam-5922	95	14	difference	difference	NOUN
ejpam-5922	95	15	-	-	PUNCT
ejpam-5922	95	16	in	in	ADP
ejpam-5922	95	17	-	-	PUNCT
ejpam-5922	95	18	ratio	ratio	NOUN
ejpam-5922	95	19	type	type	NOUN
ejpam-5922	95	20	estimator	estimator	NOUN
ejpam-5922	95	21	,	,	PUNCT
ejpam-5922	95	22	which	which	PRON
ejpam-5922	95	23	is	be	AUX
ejpam-5922	95	24	given	give	VERB
ejpam-5922	95	25	as	as	ADP
ejpam-5922	95	26	:	:	PUNCT
ejpam-5922	95	27	m̃rd2	m̃rd2	NOUN
ejpam-5922	95	28	=	=	SYM
ejpam-5922	95	29	(	(	PUNCT
ejpam-5922	95	30	d4m̃y	d4m̃y	PROPN
ejpam-5922	95	31	+	+	PROPN
ejpam-5922	95	32	d5(mx	d5(mx	PROPN
ejpam-5922	95	33	−	−	PROPN
ejpam-5922	95	34	m̃x	m̃x	PROPN
ejpam-5922	95	35	)	)	PUNCT
ejpam-5922	95	36	)	)	PUNCT
ejpam-5922	96	1	(	(	PUNCT
ejpam-5922	96	2	mx	mx	PROPN
ejpam-5922	96	3	m̃x	m̃x	PROPN
ejpam-5922	96	4	)	)	PUNCT
ejpam-5922	96	5	(	(	PUNCT
ejpam-5922	96	6	11	11	NUM
ejpam-5922	96	7	)	)	PUNCT
ejpam-5922	96	8	the	the	DET
ejpam-5922	96	9	(	(	PUNCT
ejpam-5922	96	10	d4	d4	PROPN
ejpam-5922	96	11	)	)	PUNCT
ejpam-5922	96	12	and	and	CCONJ
ejpam-5922	96	13	(	(	PUNCT
ejpam-5922	96	14	d5	d5	NOUN
ejpam-5922	96	15	)	)	PUNCT
ejpam-5922	96	16	are	be	AUX
ejpam-5922	96	17	constants	constant	NOUN
ejpam-5922	96	18	,	,	PUNCT
ejpam-5922	96	19	which	which	PRON
ejpam-5922	96	20	are	be	AUX
ejpam-5922	96	21	given	give	VERB
ejpam-5922	96	22	by	by	ADP
ejpam-5922	96	23	:	:	PUNCT
ejpam-5922	96	24	d4	d4	PROPN
ejpam-5922	96	25	=	=	PUNCT
ejpam-5922	97	1	[	[	PUNCT
ejpam-5922	97	2	1	1	NUM
ejpam-5922	97	3	−	−	NOUN
ejpam-5922	97	4	λc2	λc2	NOUN
ejpam-5922	97	5	mx	mx	PROPN
ejpam-5922	97	6	1	1	NUM
ejpam-5922	97	7	−	−	NOUN
ejpam-5922	97	8	λc2	λc2	NOUN
ejpam-5922	97	9	mx	mx	NOUN
ejpam-5922	97	10	+	+	CCONJ
ejpam-5922	97	11	λc2	λc2	VERB
ejpam-5922	97	12	my(1	my(1	PROPN
ejpam-5922	97	13	−	−	NOUN
ejpam-5922	97	14	ρ2yx	ρ2yx	PUNCT
ejpam-5922	97	15	)	)	PUNCT
ejpam-5922	97	16	]	]	PUNCT
ejpam-5922	97	17	,	,	PUNCT
ejpam-5922	97	18	d5	d5	NOUN
ejpam-5922	97	19	=	=	NOUN
ejpam-5922	98	1	my	my	PRON
ejpam-5922	98	2	mx	mx	PROPN
ejpam-5922	98	3	[	[	PUNCT
ejpam-5922	98	4	mycmyρyx	mycmyρyx	VERB
ejpam-5922	98	5	mxcmx{1	mxcmx{1	NOUN
ejpam-5922	98	6	+	+	CCONJ
ejpam-5922	98	7	λc2	λc2	X
ejpam-5922	98	8	my(1	my(1	NOUN
ejpam-5922	98	9	−	−	NOUN
ejpam-5922	98	10	ρ2yx	ρ2yx	PUNCT
ejpam-5922	98	11	)	)	PUNCT
ejpam-5922	98	12	}	}	PUNCT
ejpam-5922	98	13	]	]	PUNCT
ejpam-5922	98	14	.	.	PUNCT
ejpam-5922	99	1	substituting	substitute	VERB
ejpam-5922	99	2	the	the	DET
ejpam-5922	99	3	values	value	NOUN
ejpam-5922	99	4	of	of	ADP
ejpam-5922	99	5	(	(	PUNCT
ejpam-5922	99	6	d4	d4	PROPN
ejpam-5922	99	7	)	)	PUNCT
ejpam-5922	99	8	and	and	CCONJ
ejpam-5922	99	9	(	(	PUNCT
ejpam-5922	99	10	d5	d5	NOUN
ejpam-5922	99	11	)	)	PUNCT
ejpam-5922	99	12	,	,	PUNCT
ejpam-5922	99	13	are	be	AUX
ejpam-5922	99	14	given	give	VERB
ejpam-5922	99	15	by	by	ADP
ejpam-5922	99	16	:	:	PUNCT
ejpam-5922	99	17	mse(m̃rd2	mse(m̃rd2	NOUN
ejpam-5922	99	18	)	)	PUNCT
ejpam-5922	100	1	=	=	SYM
ejpam-5922	101	1	λm2	λm2	NOUN
ejpam-5922	101	2	yc	yc	X
ejpam-5922	101	3	2	2	NUM
ejpam-5922	101	4	my(1	my(1	NOUN
ejpam-5922	101	5	−	−	NOUN
ejpam-5922	101	6	ρ2yx)(1	ρ2yx)(1	NOUN
ejpam-5922	101	7	−	−	NOUN
ejpam-5922	101	8	ρ2yx	ρ2yx	PUNCT
ejpam-5922	101	9	)	)	PUNCT
ejpam-5922	102	1	[	[	X
ejpam-5922	102	2	(	(	PUNCT
ejpam-5922	102	3	1	1	NUM
ejpam-5922	102	4	−	−	NOUN
ejpam-5922	102	5	λc2	λc2	NOUN
ejpam-5922	102	6	my	my	PRON
ejpam-5922	102	7	)	)	PUNCT
ejpam-5922	102	8	+	+	CCONJ
ejpam-5922	102	9	λc2	λc2	VERB
ejpam-5922	102	10	my(1	my(1	NOUN
ejpam-5922	102	11	−	−	NOUN
ejpam-5922	102	12	ρ2yx	ρ2yx	PUNCT
ejpam-5922	102	13	)	)	PUNCT
ejpam-5922	102	14	]	]	PUNCT
ejpam-5922	103	1	(	(	PUNCT
ejpam-5922	103	2	12	12	NUM
ejpam-5922	103	3	)	)	PUNCT
ejpam-5922	103	4	(	(	PUNCT
ejpam-5922	103	5	vii	vii	PROPN
ejpam-5922	103	6	)	)	PUNCT
ejpam-5922	103	7	the	the	PRON
ejpam-5922	104	1	[	[	X
ejpam-5922	104	2	15	15	NUM
ejpam-5922	104	3	]	]	PUNCT
ejpam-5922	104	4	given	give	VERB
ejpam-5922	104	5	the	the	DET
ejpam-5922	104	6	generalized	generalized	ADJ
ejpam-5922	104	7	class	class	NOUN
ejpam-5922	104	8	of	of	ADP
ejpam-5922	104	9	estimator	estimator	NOUN
ejpam-5922	104	10	:	:	PUNCT
ejpam-5922	104	11	m̃s	m̃s	PROPN
ejpam-5922	104	12	=	=	PUNCT
ejpam-5922	104	13	m̃y	m̃y	PROPN
ejpam-5922	104	14	exp	exp	NOUN
ejpam-5922	104	15	(	(	PUNCT
ejpam-5922	104	16	a(mx	a(mx	PROPN
ejpam-5922	104	17	−	−	PROPN
ejpam-5922	104	18	m̃x	m̃x	NOUN
ejpam-5922	104	19	)	)	PUNCT
ejpam-5922	104	20	a(mx	a(mx	PROPN
ejpam-5922	104	21	+	+	SYM
ejpam-5922	104	22	m̃x	m̃x	NOUN
ejpam-5922	104	23	)	)	PUNCT
ejpam-5922	104	24	+	+	SYM
ejpam-5922	104	25	2b	2b	NUM
ejpam-5922	104	26	)	)	PUNCT
ejpam-5922	104	27	(	(	PUNCT
ejpam-5922	104	28	13	13	NUM
ejpam-5922	104	29	)	)	PUNCT
ejpam-5922	104	30	the	the	DET
ejpam-5922	104	31	properties	property	NOUN
ejpam-5922	104	32	of	of	ADP
ejpam-5922	104	33	(	(	PUNCT
ejpam-5922	104	34	m̃s	m̃	NOUN
ejpam-5922	104	35	)	)	PUNCT
ejpam-5922	104	36	is	be	AUX
ejpam-5922	104	37	given	give	VERB
ejpam-5922	104	38	by	by	ADP
ejpam-5922	104	39	:	:	PUNCT
ejpam-5922	104	40	bias(m̃s	bias(m̃	NOUN
ejpam-5922	104	41	)	)	PUNCT
ejpam-5922	105	1	=	=	SYM
ejpam-5922	105	2	my	my	PRON
ejpam-5922	105	3	[	[	PUNCT
ejpam-5922	105	4	3	3	NUM
ejpam-5922	105	5	8	8	NUM
ejpam-5922	105	6	θ2cmy2	θ2cmy2	NOUN
ejpam-5922	105	7	−	−	PROPN
ejpam-5922	105	8	1	1	NUM
ejpam-5922	105	9	2	2	NUM
ejpam-5922	105	10	θcmyx	θcmyx	NOUN
ejpam-5922	105	11	]	]	PUNCT
ejpam-5922	105	12	,	,	PUNCT
ejpam-5922	105	13	mse(m̃s	mse(m̃s	X
ejpam-5922	105	14	)	)	PUNCT
ejpam-5922	106	1	=	=	SYM
ejpam-5922	107	1	m2	m2	PROPN
ejpam-5922	107	2	y	y	PROPN
ejpam-5922	107	3	4	4	NUM
ejpam-5922	107	4	[	[	PUNCT
ejpam-5922	107	5	4cmy2	4cmy2	NOUN
ejpam-5922	107	6	+	+	CCONJ
ejpam-5922	107	7	θ2c2	θ2c2	X
ejpam-5922	107	8	mx	mx	NOUN
ejpam-5922	107	9	−	−	PROPN
ejpam-5922	107	10	4θcmyx	4θcmyx	NUM
ejpam-5922	107	11	]	]	PUNCT
ejpam-5922	107	12	(	(	PUNCT
ejpam-5922	107	13	14	14	NUM
ejpam-5922	107	14	)	)	PUNCT
ejpam-5922	107	15	where	where	SCONJ
ejpam-5922	107	16	θ	θ	NOUN
ejpam-5922	107	17	=	=	PUNCT
ejpam-5922	107	18	(	(	PUNCT
ejpam-5922	107	19	amx	amx	NOUN
ejpam-5922	107	20	amx+b	amx+b	PROPN
ejpam-5922	107	21	)	)	PUNCT
ejpam-5922	107	22	s.	s.	PROPN
ejpam-5922	107	23	ahmad	ahmad	PROPN
ejpam-5922	107	24	et	et	PROPN
ejpam-5922	107	25	al	al	PROPN
ejpam-5922	107	26	.	.	PUNCT
ejpam-5922	107	27	/	/	SYM
ejpam-5922	107	28	eur	eur	PROPN
ejpam-5922	107	29	.	.	PUNCT
ejpam-5922	108	1	j.	j.	PROPN
ejpam-5922	108	2	pure	pure	PROPN
ejpam-5922	108	3	appl	appl	PROPN
ejpam-5922	108	4	.	.	PROPN
ejpam-5922	108	5	math	math	PROPN
ejpam-5922	108	6	,	,	PUNCT
ejpam-5922	108	7	18	18	NUM
ejpam-5922	108	8	(	(	PUNCT
ejpam-5922	108	9	2	2	NUM
ejpam-5922	108	10	)	)	PUNCT
ejpam-5922	108	11	(	(	PUNCT
ejpam-5922	108	12	2025	2025	NUM
ejpam-5922	108	13	)	)	PUNCT
ejpam-5922	108	14	,	,	PUNCT
ejpam-5922	108	15	5922	5922	NUM
ejpam-5922	108	16	6	6	NUM
ejpam-5922	108	17	of	of	ADP
ejpam-5922	108	18	17	17	NUM
ejpam-5922	108	19	4	4	NUM
ejpam-5922	108	20	.	.	PUNCT
ejpam-5922	108	21	suggested	suggest	VERB
ejpam-5922	108	22	generalized	generalized	ADJ
ejpam-5922	108	23	class	class	NOUN
ejpam-5922	108	24	of	of	ADP
ejpam-5922	108	25	estimator	estimator	NOUN
ejpam-5922	108	26	when	when	SCONJ
ejpam-5922	108	27	the	the	DET
ejpam-5922	108	28	data	datum	NOUN
ejpam-5922	108	29	is	be	AUX
ejpam-5922	108	30	collected	collect	VERB
ejpam-5922	108	31	with	with	ADP
ejpam-5922	108	32	the	the	DET
ejpam-5922	108	33	help	help	NOUN
ejpam-5922	108	34	of	of	ADP
ejpam-5922	108	35	survey	survey	NOUN
ejpam-5922	108	36	sampling	sample	VERB
ejpam-5922	108	37	,	,	PUNCT
ejpam-5922	108	38	it	it	PRON
ejpam-5922	108	39	is	be	AUX
ejpam-5922	108	40	possible	possible	ADJ
ejpam-5922	108	41	that	that	SCONJ
ejpam-5922	108	42	the	the	DET
ejpam-5922	108	43	data	datum	NOUN
ejpam-5922	108	44	follow	follow	VERB
ejpam-5922	108	45	a	a	DET
ejpam-5922	108	46	normal	normal	ADJ
ejpam-5922	108	47	distribution	distribution	NOUN
ejpam-5922	108	48	.	.	PUNCT
ejpam-5922	109	1	in	in	ADP
ejpam-5922	109	2	order	order	NOUN
ejpam-5922	109	3	to	to	PART
ejpam-5922	109	4	get	get	VERB
ejpam-5922	109	5	reliable	reliable	ADJ
ejpam-5922	109	6	estimates	estimate	NOUN
ejpam-5922	109	7	of	of	ADP
ejpam-5922	109	8	population	population	NOUN
ejpam-5922	109	9	parameters	parameter	NOUN
ejpam-5922	109	10	,	,	PUNCT
ejpam-5922	109	11	we	we	PRON
ejpam-5922	109	12	employ	employ	VERB
ejpam-5922	109	13	the	the	DET
ejpam-5922	109	14	mean	mean	ADJ
ejpam-5922	109	15	and	and	CCONJ
ejpam-5922	109	16	standard	standard	ADJ
ejpam-5922	109	17	least	least	ADJ
ejpam-5922	109	18	-	-	PUNCT
ejpam-5922	109	19	squares	square	NOUN
ejpam-5922	109	20	methods	method	NOUN
ejpam-5922	109	21	.	.	PUNCT
ejpam-5922	110	1	sometimes	sometimes	ADV
ejpam-5922	110	2	the	the	DET
ejpam-5922	110	3	acquired	acquire	VERB
ejpam-5922	110	4	data	datum	NOUN
ejpam-5922	110	5	may	may	AUX
ejpam-5922	110	6	not	not	PART
ejpam-5922	110	7	normally	normally	ADV
ejpam-5922	110	8	distributed	distribute	VERB
ejpam-5922	110	9	(	(	PUNCT
ejpam-5922	110	10	in	in	ADP
ejpam-5922	110	11	terms	term	NOUN
ejpam-5922	110	12	of	of	ADP
ejpam-5922	110	13	wage	wage	NOUN
ejpam-5922	110	14	,	,	PUNCT
ejpam-5922	110	15	consumption	consumption	NOUN
ejpam-5922	110	16	,	,	PUNCT
ejpam-5922	110	17	etc	etc	X
ejpam-5922	110	18	.	.	X
ejpam-5922	110	19	)	)	PUNCT
ejpam-5922	110	20	,	,	PUNCT
ejpam-5922	110	21	but	but	CCONJ
ejpam-5922	110	22	follow	follow	VERB
ejpam-5922	110	23	extremely	extremely	ADV
ejpam-5922	110	24	skewed	skewed	ADJ
ejpam-5922	110	25	distributions	distribution	NOUN
ejpam-5922	110	26	.	.	PUNCT
ejpam-5922	111	1	in	in	ADP
ejpam-5922	111	2	such	such	ADJ
ejpam-5922	111	3	scenario	scenario	NOUN
ejpam-5922	111	4	,	,	PUNCT
ejpam-5922	111	5	it	it	PRON
ejpam-5922	111	6	is	be	AUX
ejpam-5922	111	7	not	not	PART
ejpam-5922	111	8	reliable	reliable	ADJ
ejpam-5922	111	9	to	to	PART
ejpam-5922	111	10	calculate	calculate	VERB
ejpam-5922	111	11	quantities	quantity	NOUN
ejpam-5922	111	12	like	like	ADP
ejpam-5922	111	13	mean	mean	VERB
ejpam-5922	111	14	etc	etc	X
ejpam-5922	111	15	.	.	X
ejpam-5922	112	1	in	in	ADP
ejpam-5922	112	2	such	such	ADJ
ejpam-5922	112	3	circumstances	circumstance	NOUN
ejpam-5922	112	4	,	,	PUNCT
ejpam-5922	112	5	the	the	DET
ejpam-5922	112	6	median	median	NOUN
ejpam-5922	112	7	is	be	AUX
ejpam-5922	112	8	used	use	VERB
ejpam-5922	112	9	,	,	PUNCT
ejpam-5922	112	10	because	because	SCONJ
ejpam-5922	112	11	it	it	PRON
ejpam-5922	112	12	is	be	AUX
ejpam-5922	112	13	unaffected	unaffected	ADJ
ejpam-5922	112	14	by	by	ADP
ejpam-5922	112	15	outliers	outlier	NOUN
ejpam-5922	112	16	and	and	CCONJ
ejpam-5922	112	17	extreme	extreme	ADJ
ejpam-5922	112	18	values	value	NOUN
ejpam-5922	112	19	.	.	PUNCT
ejpam-5922	113	1	median	median	NOUN
ejpam-5922	113	2	can	can	AUX
ejpam-5922	113	3	be	be	AUX
ejpam-5922	113	4	used	use	VERB
ejpam-5922	113	5	as	as	ADP
ejpam-5922	113	6	a	a	DET
ejpam-5922	113	7	measure	measure	NOUN
ejpam-5922	113	8	of	of	ADP
ejpam-5922	113	9	center	center	NOUN
ejpam-5922	113	10	tendency	tendency	NOUN
ejpam-5922	113	11	.	.	PUNCT
ejpam-5922	114	1	by	by	ADP
ejpam-5922	114	2	taking	take	VERB
ejpam-5922	114	3	motivation	motivation	NOUN
ejpam-5922	114	4	from	from	ADP
ejpam-5922	114	5	[	[	X
ejpam-5922	114	6	5	5	NUM
ejpam-5922	114	7	]	]	PUNCT
ejpam-5922	114	8	,	,	PUNCT
ejpam-5922	114	9	we	we	PRON
ejpam-5922	114	10	suggested	suggest	VERB
ejpam-5922	114	11	the	the	DET
ejpam-5922	114	12	resulting	result	VERB
ejpam-5922	114	13	improved	improved	ADJ
ejpam-5922	114	14	class	class	NOUN
ejpam-5922	114	15	of	of	ADP
ejpam-5922	114	16	estimators	estimator	NOUN
ejpam-5922	114	17	for	for	ADP
ejpam-5922	114	18	population	population	NOUN
ejpam-5922	114	19	median	median	NOUN
ejpam-5922	114	20	.	.	PUNCT
ejpam-5922	115	1	this	this	DET
ejpam-5922	115	2	work	work	NOUN
ejpam-5922	115	3	makes	make	VERB
ejpam-5922	115	4	an	an	DET
ejpam-5922	115	5	essential	essential	ADJ
ejpam-5922	115	6	contribution	contribution	NOUN
ejpam-5922	115	7	to	to	ADP
ejpam-5922	115	8	statistical	statistical	ADJ
ejpam-5922	115	9	estimation	estimation	NOUN
ejpam-5922	115	10	because	because	SCONJ
ejpam-5922	115	11	it	it	PRON
ejpam-5922	115	12	introduces	introduce	VERB
ejpam-5922	115	13	a	a	DET
ejpam-5922	115	14	new	new	ADJ
ejpam-5922	115	15	approach	approach	NOUN
ejpam-5922	115	16	to	to	ADP
ejpam-5922	115	17	median	median	ADJ
ejpam-5922	115	18	estimation	estimation	NOUN
ejpam-5922	115	19	through	through	ADP
ejpam-5922	115	20	generalized	generalized	ADJ
ejpam-5922	115	21	class	class	NOUN
ejpam-5922	115	22	of	of	ADP
ejpam-5922	115	23	estimators	estimator	NOUN
ejpam-5922	115	24	using	use	VERB
ejpam-5922	115	25	auxiliary	auxiliary	ADJ
ejpam-5922	115	26	information	information	NOUN
ejpam-5922	115	27	.	.	PUNCT
ejpam-5922	116	1	the	the	DET
ejpam-5922	116	2	framework	framework	NOUN
ejpam-5922	116	3	developed	develop	VERB
ejpam-5922	116	4	by	by	ADP
ejpam-5922	116	5	this	this	DET
ejpam-5922	116	6	research	research	NOUN
ejpam-5922	116	7	enables	enable	VERB
ejpam-5922	116	8	the	the	DET
ejpam-5922	116	9	integration	integration	NOUN
ejpam-5922	116	10	of	of	ADP
ejpam-5922	116	11	auxiliary	auxiliary	ADJ
ejpam-5922	116	12	data	datum	NOUN
ejpam-5922	116	13	with	with	ADP
ejpam-5922	116	14	the	the	DET
ejpam-5922	116	15	retention	retention	NOUN
ejpam-5922	116	16	of	of	ADP
ejpam-5922	116	17	essential	essential	ADJ
ejpam-5922	116	18	median	median	ADJ
ejpam-5922	116	19	estimator	estimator	NOUN
ejpam-5922	116	20	features	feature	NOUN
ejpam-5922	116	21	including	include	VERB
ejpam-5922	116	22	robustness	robustness	NOUN
ejpam-5922	116	23	and	and	CCONJ
ejpam-5922	116	24	consistency	consistency	NOUN
ejpam-5922	116	25	.	.	PUNCT
ejpam-5922	117	1	a	a	DET
ejpam-5922	117	2	new	new	ADJ
ejpam-5922	117	3	approach	approach	NOUN
ejpam-5922	117	4	enhances	enhance	VERB
ejpam-5922	117	5	precision	precision	NOUN
ejpam-5922	117	6	in	in	ADP
ejpam-5922	117	7	estimation	estimation	NOUN
ejpam-5922	117	8	because	because	SCONJ
ejpam-5922	117	9	researchers	researcher	NOUN
ejpam-5922	117	10	need	need	VERB
ejpam-5922	117	11	exact	exact	ADJ
ejpam-5922	117	12	median	median	ADJ
ejpam-5922	117	13	results	result	NOUN
ejpam-5922	117	14	in	in	ADP
ejpam-5922	117	15	economics	economic	NOUN
ejpam-5922	117	16	and	and	CCONJ
ejpam-5922	117	17	medical	medical	ADJ
ejpam-5922	117	18	research	research	NOUN
ejpam-5922	117	19	and	and	CCONJ
ejpam-5922	117	20	social	social	ADJ
ejpam-5922	117	21	science	science	NOUN
ejpam-5922	117	22	studies	study	NOUN
ejpam-5922	117	23	especially	especially	ADV
ejpam-5922	117	24	when	when	SCONJ
ejpam-5922	117	25	data	datum	NOUN
ejpam-5922	117	26	is	be	AUX
ejpam-5922	117	27	restricted	restrict	VERB
ejpam-5922	117	28	.	.	PUNCT
ejpam-5922	118	1	the	the	DET
ejpam-5922	118	2	paper	paper	NOUN
ejpam-5922	118	3	verifies	verify	VERB
ejpam-5922	118	4	the	the	DET
ejpam-5922	118	5	statistical	statistical	ADJ
ejpam-5922	118	6	aspects	aspect	NOUN
ejpam-5922	118	7	of	of	ADP
ejpam-5922	118	8	the	the	DET
ejpam-5922	118	9	proposed	propose	VERB
ejpam-5922	118	10	estimators	estimator	NOUN
ejpam-5922	118	11	while	while	SCONJ
ejpam-5922	118	12	confirming	confirm	VERB
ejpam-5922	118	13	both	both	CCONJ
ejpam-5922	118	14	theoretical	theoretical	ADJ
ejpam-5922	118	15	and	and	CCONJ
ejpam-5922	118	16	practical	practical	ADJ
ejpam-5922	118	17	proof	proof	NOUN
ejpam-5922	118	18	for	for	ADP
ejpam-5922	118	19	their	their	PRON
ejpam-5922	118	20	application	application	NOUN
ejpam-5922	118	21	.	.	PUNCT
ejpam-5922	119	1	this	this	DET
ejpam-5922	119	2	research	research	NOUN
ejpam-5922	119	3	develops	develop	VERB
ejpam-5922	119	4	an	an	DET
ejpam-5922	119	5	innovative	innovative	ADJ
ejpam-5922	119	6	statistical	statistical	ADJ
ejpam-5922	119	7	tool	tool	NOUN
ejpam-5922	119	8	that	that	PRON
ejpam-5922	119	9	gives	give	VERB
ejpam-5922	119	10	practitioners	practitioner	NOUN
ejpam-5922	119	11	and	and	CCONJ
ejpam-5922	119	12	researchers	researcher	NOUN
ejpam-5922	119	13	improved	improve	VERB
ejpam-5922	119	14	ways	way	NOUN
ejpam-5922	119	15	to	to	PART
ejpam-5922	119	16	increase	increase	VERB
ejpam-5922	119	17	the	the	DET
ejpam-5922	119	18	accuracy	accuracy	NOUN
ejpam-5922	119	19	of	of	ADP
ejpam-5922	119	20	their	their	PRON
ejpam-5922	119	21	analytical	analytical	ADJ
ejpam-5922	119	22	work	work	NOUN
ejpam-5922	119	23	through	through	ADP
ejpam-5922	119	24	performance	performance	NOUN
ejpam-5922	119	25	comparison	comparison	NOUN
ejpam-5922	119	26	with	with	ADP
ejpam-5922	119	27	traditional	traditional	ADJ
ejpam-5922	119	28	methods	method	NOUN
ejpam-5922	119	29	.	.	PUNCT
ejpam-5922	120	1	m̃gp	m̃gp	NOUN
ejpam-5922	120	2	=	=	SYM
ejpam-5922	120	3	ψ1my	ψ1my	PUNCT
ejpam-5922	120	4	(	(	PUNCT
ejpam-5922	120	5	1	1	NUM
ejpam-5922	120	6	4	4	NUM
ejpam-5922	120	7	(	(	PUNCT
ejpam-5922	120	8	mx	mx	NOUN
ejpam-5922	120	9	m̄x	m̄x	PROPN
ejpam-5922	120	10	+	+	CCONJ
ejpam-5922	120	11	m̄x	m̄x	PROPN
ejpam-5922	120	12	mx	mx	PROPN
ejpam-5922	120	13	)	)	PUNCT
ejpam-5922	120	14	×	×	NOUN
ejpam-5922	120	15	(	(	PUNCT
ejpam-5922	120	16	exp	exp	NOUN
ejpam-5922	120	17	(	(	PUNCT
ejpam-5922	120	18	mx	mx	NOUN
ejpam-5922	120	19	−	−	PROPN
ejpam-5922	120	20	m̄x	m̄x	PROPN
ejpam-5922	120	21	mx	mx	PROPN
ejpam-5922	120	22	+	+	CCONJ
ejpam-5922	120	23	m̄x	m̄x	NOUN
ejpam-5922	120	24	)	)	PUNCT
ejpam-5922	121	1	+	+	NUM
ejpam-5922	121	2	exp	exp	NOUN
ejpam-5922	121	3	(	(	PUNCT
ejpam-5922	121	4	m̄x	m̄x	NOUN
ejpam-5922	121	5	−mx	−mx	NOUN
ejpam-5922	121	6	mx	mx	NOUN
ejpam-5922	121	7	+	+	CCONJ
ejpam-5922	121	8	m̄x	m̄x	NOUN
ejpam-5922	121	9	)	)	PUNCT
ejpam-5922	121	10	)	)	PUNCT
ejpam-5922	121	11	)	)	PUNCT
ejpam-5922	122	1	+	+	CCONJ
ejpam-5922	122	2	ψ2	ψ2	NOUN
ejpam-5922	122	3	(	(	PUNCT
ejpam-5922	122	4	mx	mx	NOUN
ejpam-5922	122	5	−	−	PROPN
ejpam-5922	122	6	m̄x	m̄x	PROPN
ejpam-5922	122	7	)	)	PUNCT
ejpam-5922	122	8	exp	exp	NOUN
ejpam-5922	122	9	(	(	PUNCT
ejpam-5922	122	10	α(mx	α(mx	NUM
ejpam-5922	122	11	−	−	NOUN
ejpam-5922	122	12	m̄x	m̄x	NOUN
ejpam-5922	122	13	)	)	PUNCT
ejpam-5922	122	14	α(mx	α(mx	ADP
ejpam-5922	122	15	+	+	X
ejpam-5922	122	16	m̄x	m̄x	NOUN
ejpam-5922	122	17	)	)	PUNCT
ejpam-5922	122	18	+	+	NUM
ejpam-5922	122	19	2β	2β	NOUN
ejpam-5922	122	20	)	)	PUNCT
ejpam-5922	122	21	(	(	PUNCT
ejpam-5922	122	22	15	15	NUM
ejpam-5922	122	23	)	)	PUNCT
ejpam-5922	122	24	ψ1	ψ1	NOUN
ejpam-5922	122	25	and	and	CCONJ
ejpam-5922	122	26	ψ2	ψ2	NOUN
ejpam-5922	122	27	are	be	AUX
ejpam-5922	122	28	the	the	DET
ejpam-5922	122	29	constants	constant	NOUN
ejpam-5922	122	30	.	.	PUNCT
ejpam-5922	123	1	after	after	ADP
ejpam-5922	123	2	simplification	simplification	NOUN
ejpam-5922	123	3	of	of	ADP
ejpam-5922	123	4	m̃gp	m̃gp	PROPN
ejpam-5922	123	5	,	,	PUNCT
ejpam-5922	123	6	we	we	PRON
ejpam-5922	123	7	have	have	VERB
ejpam-5922	123	8	m̃gp	m̃gp	PROPN
ejpam-5922	123	9	=	=	PUNCT
ejpam-5922	123	10	[	[	PUNCT
ejpam-5922	123	11	ψ1my(1	ψ1my(1	PROPN
ejpam-5922	123	12	+	+	SYM
ejpam-5922	123	13	ξ0	ξ0	NOUN
ejpam-5922	123	14	)	)	PUNCT
ejpam-5922	123	15	(	(	PUNCT
ejpam-5922	123	16	1	1	NUM
ejpam-5922	123	17	+	+	SYM
ejpam-5922	123	18	5	5	NUM
ejpam-5922	123	19	8	8	NUM
ejpam-5922	123	20	ξ21	ξ21	NOUN
ejpam-5922	123	21	)	)	PUNCT
ejpam-5922	123	22	−	−	PROPN
ejpam-5922	123	23	ψ2mxξ1	ψ2mxξ1	NOUN
ejpam-5922	123	24	]	]	PUNCT
ejpam-5922	124	1	[	[	PUNCT
ejpam-5922	124	2	1	1	NUM
ejpam-5922	124	3	−	−	NUM
ejpam-5922	124	4	1	1	NUM
ejpam-5922	124	5	2	2	NUM
ejpam-5922	124	6	θξ1	θξ1	NOUN
ejpam-5922	124	7	+	+	CCONJ
ejpam-5922	124	8	3θ2	3θ2	NUM
ejpam-5922	124	9	8	8	NUM
ejpam-5922	124	10	ξ21	ξ21	NOUN
ejpam-5922	124	11	]	]	PUNCT
ejpam-5922	124	12	(	(	PUNCT
ejpam-5922	124	13	16	16	NUM
ejpam-5922	124	14	)	)	PUNCT
ejpam-5922	124	15	expanding	expand	VERB
ejpam-5922	124	16	(	(	PUNCT
ejpam-5922	124	17	16	16	NUM
ejpam-5922	124	18	)	)	PUNCT
ejpam-5922	124	19	,	,	PUNCT
ejpam-5922	124	20	we	we	PRON
ejpam-5922	124	21	get	get	VERB
ejpam-5922	124	22	m̃gp−my	m̃gp−my	NOUN
ejpam-5922	124	23	=	=	NOUN
ejpam-5922	124	24	my+my	my+my	ADJ
ejpam-5922	124	25	[	[	PUNCT
ejpam-5922	124	26	(	(	PUNCT
ejpam-5922	124	27	ψ1	ψ1	ADJ
ejpam-5922	124	28	−	−	NOUN
ejpam-5922	124	29	1	1	NUM
ejpam-5922	124	30	)	)	PUNCT
ejpam-5922	125	1	+	+	CCONJ
ejpam-5922	125	2	ψ1	ψ1	ADJ
ejpam-5922	125	3	{	{	PUNCT
ejpam-5922	125	4	ξ0	ξ0	NOUN
ejpam-5922	125	5	−	−	PROPN
ejpam-5922	125	6	1	1	NUM
ejpam-5922	125	7	2	2	NUM
ejpam-5922	125	8	θξ1	θξ1	NOUN
ejpam-5922	125	9	−	−	NOUN
ejpam-5922	125	10	1	1	NUM
ejpam-5922	125	11	2	2	NUM
ejpam-5922	125	12	θξ0ξ1	θξ0ξ1	NOUN
ejpam-5922	125	13	+	+	CCONJ
ejpam-5922	125	14	1	1	NUM
ejpam-5922	125	15	8	8	NUM
ejpam-5922	125	16	(	(	PUNCT
ejpam-5922	125	17	5	5	NUM
ejpam-5922	125	18	+	+	CCONJ
ejpam-5922	125	19	3θ2)ξ21	3θ2)ξ21	NUM
ejpam-5922	125	20	}	}	PUNCT
ejpam-5922	125	21	−	−	PROPN
ejpam-5922	125	22	ψ2r{ξ1	ψ2r{ξ1	NOUN
ejpam-5922	125	23	−	−	PROPN
ejpam-5922	125	24	1	1	NUM
ejpam-5922	125	25	2	2	NUM
ejpam-5922	125	26	θξ21	θξ21	PROPN
ejpam-5922	125	27	}	}	PUNCT
ejpam-5922	125	28	]	]	PUNCT
ejpam-5922	125	29	(	(	PUNCT
ejpam-5922	125	30	17	17	NUM
ejpam-5922	125	31	)	)	PUNCT
ejpam-5922	125	32	from	from	ADP
ejpam-5922	125	33	(	(	PUNCT
ejpam-5922	125	34	17	17	NUM
ejpam-5922	125	35	)	)	PUNCT
ejpam-5922	125	36	,	,	PUNCT
ejpam-5922	125	37	the	the	DET
ejpam-5922	125	38	bias	bias	NOUN
ejpam-5922	125	39	of	of	ADP
ejpam-5922	125	40	m̃gp	m̃gp	PROPN
ejpam-5922	125	41	is	be	AUX
ejpam-5922	125	42	given	give	VERB
ejpam-5922	125	43	by	by	ADP
ejpam-5922	125	44	:	:	PUNCT
ejpam-5922	125	45	bias(m̃gp	bias(m̃gp	NOUN
ejpam-5922	125	46	)	)	PUNCT
ejpam-5922	126	1	=	=	PUNCT
ejpam-5922	126	2	my	my	PRON
ejpam-5922	126	3	[	[	PUNCT
ejpam-5922	126	4	(	(	PUNCT
ejpam-5922	126	5	ψ1	ψ1	ADJ
ejpam-5922	126	6	−	−	NOUN
ejpam-5922	126	7	1	1	NUM
ejpam-5922	126	8	)	)	PUNCT
ejpam-5922	126	9	+	+	CCONJ
ejpam-5922	126	10	ψ1	ψ1	ADJ
ejpam-5922	126	11	{	{	PUNCT
ejpam-5922	126	12	1	1	NUM
ejpam-5922	126	13	8	8	NUM
ejpam-5922	126	14	(	(	PUNCT
ejpam-5922	126	15	5	5	NUM
ejpam-5922	126	16	+	+	SYM
ejpam-5922	126	17	3θ2)cmx−	3θ2)cmx−	NUM
ejpam-5922	126	18	1	1	NUM
ejpam-5922	126	19	2	2	NUM
ejpam-5922	126	20	θcmyx	θcmyx	NOUN
ejpam-5922	126	21	}	}	PUNCT
ejpam-5922	126	22	+	+	CCONJ
ejpam-5922	126	23	ψ19rλ	ψ19rλ	NUM
ejpam-5922	126	24	1	1	NUM
ejpam-5922	126	25	2	2	NUM
ejpam-5922	126	26	θc2	θc2	NOUN
ejpam-5922	126	27	mx	mx	NOUN
ejpam-5922	126	28	]	]	X
ejpam-5922	126	29	(	(	PUNCT
ejpam-5922	126	30	18	18	NUM
ejpam-5922	126	31	)	)	PUNCT
ejpam-5922	126	32	squaring	squaring	NOUN
ejpam-5922	126	33	(	(	PUNCT
ejpam-5922	126	34	17	17	NUM
ejpam-5922	126	35	)	)	PUNCT
ejpam-5922	126	36	and	and	CCONJ
ejpam-5922	126	37	taking	take	VERB
ejpam-5922	126	38	expectations	expectation	NOUN
ejpam-5922	126	39	:	:	PUNCT
ejpam-5922	126	40	mse(m̃gp	mse(m̃gp	NOUN
ejpam-5922	126	41	)	)	PUNCT
ejpam-5922	127	1	=	=	SYM
ejpam-5922	127	2	m2	m2	PROPN
ejpam-5922	127	3	y	y	PROPN
ejpam-5922	128	1	[	[	X
ejpam-5922	128	2	1	1	NUM
ejpam-5922	128	3	+	+	NUM
ejpam-5922	128	4	ψ2	ψ2	NOUN
ejpam-5922	128	5	1a11	1a11	NOUN
ejpam-5922	128	6	+	+	NUM
ejpam-5922	128	7	ψ2	ψ2	NOUN
ejpam-5922	128	8	2b11	2b11	NOUN
ejpam-5922	128	9	−	−	PROPN
ejpam-5922	128	10	2ψ1c11	2ψ1c11	NUM
ejpam-5922	129	1	−	−	ADP
ejpam-5922	129	2	2ψ2d11	2ψ2d11	NUM
ejpam-5922	129	3	+	+	CCONJ
ejpam-5922	129	4	2ψ1ψ2e11	2ψ1ψ2e11	PROPN
ejpam-5922	129	5	]	]	PUNCT
ejpam-5922	129	6	,	,	PUNCT
ejpam-5922	129	7	(	(	PUNCT
ejpam-5922	129	8	19	19	NUM
ejpam-5922	129	9	)	)	PUNCT
ejpam-5922	129	10	s.	s.	PROPN
ejpam-5922	129	11	ahmad	ahmad	PROPN
ejpam-5922	129	12	et	et	PROPN
ejpam-5922	129	13	al	al	PROPN
ejpam-5922	129	14	.	.	PUNCT
ejpam-5922	129	15	/	/	SYM
ejpam-5922	129	16	eur	eur	PROPN
ejpam-5922	129	17	.	.	PUNCT
ejpam-5922	130	1	j.	j.	PROPN
ejpam-5922	130	2	pure	pure	PROPN
ejpam-5922	130	3	appl	appl	PROPN
ejpam-5922	130	4	.	.	PROPN
ejpam-5922	130	5	math	math	PROPN
ejpam-5922	130	6	,	,	PUNCT
ejpam-5922	130	7	18	18	NUM
ejpam-5922	130	8	(	(	PUNCT
ejpam-5922	130	9	2	2	NUM
ejpam-5922	130	10	)	)	PUNCT
ejpam-5922	130	11	(	(	PUNCT
ejpam-5922	130	12	2025	2025	NUM
ejpam-5922	130	13	)	)	PUNCT
ejpam-5922	130	14	,	,	PUNCT
ejpam-5922	130	15	5922	5922	NUM
ejpam-5922	130	16	7	7	NUM
ejpam-5922	130	17	of	of	ADP
ejpam-5922	130	18	17	17	NUM
ejpam-5922	130	19	where	where	SCONJ
ejpam-5922	130	20	a11	a11	PROPN
ejpam-5922	130	21	=	=	SYM
ejpam-5922	131	1	1+λ	1+λ	PROPN
ejpam-5922	131	2	[	[	PUNCT
ejpam-5922	131	3	cmy	cmy	NOUN
ejpam-5922	131	4	+	+	CCONJ
ejpam-5922	131	5	(	(	PUNCT
ejpam-5922	131	6	5	5	NUM
ejpam-5922	131	7	4	4	NUM
ejpam-5922	131	8	+	+	NUM
ejpam-5922	131	9	θ2	θ2	PROPN
ejpam-5922	131	10	)	)	PUNCT
ejpam-5922	131	11	c2	c2	PROPN
ejpam-5922	131	12	mx	mx	PROPN
ejpam-5922	132	1	−	−	PROPN
ejpam-5922	132	2	2θcmyx	2θcmyx	PROPN
ejpam-5922	132	3	]	]	PUNCT
ejpam-5922	132	4	,	,	PUNCT
ejpam-5922	132	5	b11	b11	PROPN
ejpam-5922	132	6	=	=	SYM
ejpam-5922	132	7	r2λ[c2	r2λ[c2	PROPN
ejpam-5922	132	8	mx	mx	PROPN
ejpam-5922	132	9	]	]	X
ejpam-5922	132	10	,	,	PUNCT
ejpam-5922	132	11	c11	c11	NOUN
ejpam-5922	132	12	=	=	SYM
ejpam-5922	133	1	1+λ	1+λ	NUM
ejpam-5922	134	1	[	[	X
ejpam-5922	134	2	(	(	PUNCT
ejpam-5922	134	3	5	5	NUM
ejpam-5922	134	4	+	+	NUM
ejpam-5922	134	5	3θ2	3θ2	NUM
ejpam-5922	134	6	8	8	NUM
ejpam-5922	134	7	)	)	PUNCT
ejpam-5922	134	8	c2	c2	PROPN
ejpam-5922	134	9	mx	mx	PROPN
ejpam-5922	135	1	−	−	NOUN
ejpam-5922	135	2	1	1	NUM
ejpam-5922	135	3	2	2	NUM
ejpam-5922	135	4	θcmyx	θcmyx	NOUN
ejpam-5922	135	5	]	]	PUNCT
ejpam-5922	135	6	,	,	PUNCT
ejpam-5922	135	7	d11	d11	PROPN
ejpam-5922	135	8	=	=	SYM
ejpam-5922	135	9	rλ	rλ	PROPN
ejpam-5922	135	10	[	[	PUNCT
ejpam-5922	135	11	θc2	θc2	NOUN
ejpam-5922	135	12	mx	mx	PROPN
ejpam-5922	135	13	2	2	PROPN
ejpam-5922	135	14	]	]	PUNCT
ejpam-5922	135	15	,	,	PUNCT
ejpam-5922	135	16	e11	e11	X
ejpam-5922	135	17	=	=	SYM
ejpam-5922	135	18	rλ[θc2	rλ[θc2	PROPN
ejpam-5922	135	19	mx	mx	PROPN
ejpam-5922	135	20	−	−	PROPN
ejpam-5922	135	21	cmyx	cmyx	PROPN
ejpam-5922	135	22	]	]	PUNCT
ejpam-5922	135	23	.	.	PUNCT
ejpam-5922	136	1	differentiate	differentiate	VERB
ejpam-5922	136	2	(	(	PUNCT
ejpam-5922	136	3	19	19	NUM
ejpam-5922	136	4	)	)	PUNCT
ejpam-5922	136	5	w.r.t	w.r.t	ADJ
ejpam-5922	136	6	ψ1	ψ1	NOUN
ejpam-5922	136	7	and	and	CCONJ
ejpam-5922	136	8	ψ2	ψ2	NOUN
ejpam-5922	136	9	,	,	PUNCT
ejpam-5922	136	10	the	the	DET
ejpam-5922	136	11	values	value	NOUN
ejpam-5922	136	12	of	of	ADP
ejpam-5922	136	13	ψ1	ψ1	NOUN
ejpam-5922	136	14	and	and	CCONJ
ejpam-5922	136	15	ψ2	ψ2	NOUN
ejpam-5922	136	16	as	as	SCONJ
ejpam-5922	136	17	given	give	VERB
ejpam-5922	136	18	by	by	ADP
ejpam-5922	136	19	:	:	PUNCT
ejpam-5922	136	20	ψ1(opt	ψ1(opt	NUM
ejpam-5922	136	21	)	)	PUNCT
ejpam-5922	136	22	=	=	SYM
ejpam-5922	137	1	b11c11	b11c11	ADJ
ejpam-5922	137	2	−d11e11	−d11e11	X
ejpam-5922	137	3	a11b11	a11b11	PROPN
ejpam-5922	137	4	−	−	PROPN
ejpam-5922	137	5	e2	e2	PROPN
ejpam-5922	137	6	11	11	NUM
ejpam-5922	137	7	,	,	PUNCT
ejpam-5922	137	8	and	and	CCONJ
ejpam-5922	137	9	ψ2(opt	ψ2(opt	VERB
ejpam-5922	137	10	)	)	PUNCT
ejpam-5922	137	11	=	=	SYM
ejpam-5922	137	12	a11d11	a11d11	NOUN
ejpam-5922	137	13	−	−	PROPN
ejpam-5922	137	14	c11e11	c11e11	NOUN
ejpam-5922	137	15	a11b11	a11b11	PROPN
ejpam-5922	137	16	−	−	PROPN
ejpam-5922	137	17	e2	e2	PROPN
ejpam-5922	137	18	11	11	NUM
ejpam-5922	137	19	.	.	PUNCT
ejpam-5922	138	1	putting	put	VERB
ejpam-5922	138	2	the	the	DET
ejpam-5922	138	3	optimum	optimum	ADJ
ejpam-5922	138	4	values	value	NOUN
ejpam-5922	138	5	of	of	ADP
ejpam-5922	138	6	ψ1(opt	ψ1(opt	NOUN
ejpam-5922	138	7	)	)	PUNCT
ejpam-5922	138	8	and	and	CCONJ
ejpam-5922	138	9	ψ2(opt	ψ2(opt	VERB
ejpam-5922	138	10	)	)	PUNCT
ejpam-5922	138	11	in	in	ADP
ejpam-5922	138	12	(	(	PUNCT
ejpam-5922	138	13	19	19	NUM
ejpam-5922	138	14	)	)	PUNCT
ejpam-5922	138	15	,	,	PUNCT
ejpam-5922	138	16	we	we	PRON
ejpam-5922	138	17	get	get	VERB
ejpam-5922	138	18	the	the	DET
ejpam-5922	138	19	minimum	minimum	ADJ
ejpam-5922	138	20	mse	mse	NOUN
ejpam-5922	138	21	of	of	ADP
ejpam-5922	138	22	m̃gp	m̃gp	PROPN
ejpam-5922	138	23	as	as	SCONJ
ejpam-5922	138	24	given	give	VERB
ejpam-5922	138	25	by	by	ADP
ejpam-5922	138	26	:	:	PUNCT
ejpam-5922	138	27	mse(m̃gp	mse(m̃gp	ADJ
ejpam-5922	138	28	)	)	PUNCT
ejpam-5922	138	29	min	min	NOUN
ejpam-5922	138	30	≈m2	≈m2	NOUN
ejpam-5922	138	31	y	y	PROPN
ejpam-5922	138	32	[	[	PUNCT
ejpam-5922	138	33	1	1	NUM
ejpam-5922	138	34	−	−	NOUN
ejpam-5922	138	35	a11d	a11d	ADV
ejpam-5922	138	36	2	2	NUM
ejpam-5922	138	37	11	11	NUM
ejpam-5922	138	38	+	+	NOUN
ejpam-5922	138	39	b11c	b11c	NUM
ejpam-5922	138	40	2	2	NUM
ejpam-5922	138	41	11	11	NUM
ejpam-5922	138	42	−	−	PROPN
ejpam-5922	138	43	2c11d11e11	2c11d11e11	NUM
ejpam-5922	138	44	a11b11	a11b11	PROPN
ejpam-5922	138	45	−	−	PROPN
ejpam-5922	138	46	e2	e2	PROPN
ejpam-5922	138	47	11	11	NUM
ejpam-5922	138	48	]	]	PUNCT
ejpam-5922	138	49	.	.	PUNCT
ejpam-5922	139	1	(	(	PUNCT
ejpam-5922	139	2	20	20	NUM
ejpam-5922	139	3	)	)	SYM
ejpam-5922	139	4	5	5	NUM
ejpam-5922	139	5	.	.	PUNCT
ejpam-5922	139	6	numerical	numerical	PROPN
ejpam-5922	139	7	study	study	PROPN
ejpam-5922	139	8	to	to	PART
ejpam-5922	139	9	determine	determine	VERB
ejpam-5922	139	10	how	how	SCONJ
ejpam-5922	139	11	effective	effective	ADJ
ejpam-5922	139	12	our	our	PRON
ejpam-5922	139	13	suggested	suggest	VERB
ejpam-5922	139	14	class	class	NOUN
ejpam-5922	139	15	of	of	ADP
ejpam-5922	139	16	estimators	estimator	NOUN
ejpam-5922	139	17	is	be	AUX
ejpam-5922	139	18	,	,	PUNCT
ejpam-5922	139	19	we	we	PRON
ejpam-5922	139	20	perform	perform	VERB
ejpam-5922	139	21	a	a	DET
ejpam-5922	139	22	mathematical	mathematical	ADJ
ejpam-5922	139	23	analysis	analysis	NOUN
ejpam-5922	139	24	with	with	ADP
ejpam-5922	139	25	some	some	DET
ejpam-5922	139	26	actual	actual	ADJ
ejpam-5922	139	27	data	datum	NOUN
ejpam-5922	139	28	.	.	PUNCT
ejpam-5922	140	1	we	we	PRON
ejpam-5922	140	2	compare	compare	VERB
ejpam-5922	140	3	the	the	DET
ejpam-5922	140	4	effectiveness	effectiveness	NOUN
ejpam-5922	140	5	of	of	ADP
ejpam-5922	140	6	our	our	PRON
ejpam-5922	140	7	suggested	suggest	VERB
ejpam-5922	140	8	class	class	NOUN
ejpam-5922	140	9	to	to	ADP
ejpam-5922	140	10	that	that	PRON
ejpam-5922	140	11	of	of	ADP
ejpam-5922	140	12	existing	exist	VERB
ejpam-5922	140	13	estimators	estimator	NOUN
ejpam-5922	140	14	by	by	ADP
ejpam-5922	140	15	using	use	VERB
ejpam-5922	140	16	a	a	DET
ejpam-5922	140	17	percentage	percentage	NOUN
ejpam-5922	140	18	relative	relative	ADJ
ejpam-5922	140	19	efficiency	efficiency	NOUN
ejpam-5922	140	20	(	(	PUNCT
ejpam-5922	140	21	pre	pre	NOUN
ejpam-5922	140	22	)	)	PUNCT
ejpam-5922	140	23	.	.	PUNCT
ejpam-5922	141	1	the	the	DET
ejpam-5922	141	2	theoretical	theoretical	ADJ
ejpam-5922	141	3	expression	expression	NOUN
ejpam-5922	141	4	for	for	ADP
ejpam-5922	141	5	pre	pre	X
ejpam-5922	141	6	is	be	AUX
ejpam-5922	141	7	given	give	VERB
ejpam-5922	141	8	by	by	ADP
ejpam-5922	141	9	:	:	PUNCT
ejpam-5922	141	10	pre	pre	ADJ
ejpam-5922	141	11	=	=	NOUN
ejpam-5922	141	12	v	v	NOUN
ejpam-5922	141	13	ar(m̃u	ar(m̃u	NOUN
ejpam-5922	141	14	)	)	PUNCT
ejpam-5922	141	15	mse(m̃i	mse(m̃i	PROPN
ejpam-5922	141	16	)	)	PUNCT
ejpam-5922	141	17	×	×	NOUN
ejpam-5922	141	18	100	100	NUM
ejpam-5922	141	19	where	where	SCONJ
ejpam-5922	141	20	(	(	PUNCT
ejpam-5922	141	21	i	i	NOUN
ejpam-5922	141	22	=	=	NOUN
ejpam-5922	141	23	r	r	NOUN
ejpam-5922	141	24	,	,	PUNCT
ejpam-5922	141	25	d	d	NOUN
ejpam-5922	141	26	,	,	PUNCT
ejpam-5922	141	27	e	e	NOUN
ejpam-5922	141	28	,	,	PUNCT
ejpam-5922	141	29	rd1	rd1	PROPN
ejpam-5922	141	30	,	,	PUNCT
ejpam-5922	141	31	rd2	rd2	PROPN
ejpam-5922	141	32	,	,	PUNCT
ejpam-5922	141	33	s	s	PROPN
ejpam-5922	141	34	,	,	PUNCT
ejpam-5922	141	35	gp	gp	NOUN
ejpam-5922	141	36	)	)	PUNCT
ejpam-5922	141	37	population	population	NOUN
ejpam-5922	141	38	1	1	NUM
ejpam-5922	141	39	:	:	PUNCT
ejpam-5922	141	40	[	[	X
ejpam-5922	141	41	source	source	NOUN
ejpam-5922	141	42	:	:	PUNCT
ejpam-5922	141	43	[	[	X
ejpam-5922	141	44	14	14	NUM
ejpam-5922	141	45	]	]	PUNCT
ejpam-5922	141	46	]	]	PUNCT
ejpam-5922	141	47	y	y	NOUN
ejpam-5922	141	48	=	=	PUNCT
ejpam-5922	141	49	fish	fish	NOUN
ejpam-5922	141	50	caught	catch	VERB
ejpam-5922	141	51	in	in	ADP
ejpam-5922	141	52	1995	1995	NUM
ejpam-5922	141	53	,	,	PUNCT
ejpam-5922	141	54	x	x	SYM
ejpam-5922	141	55	=	=	PUNCT
ejpam-5922	141	56	fish	fish	NOUN
ejpam-5922	141	57	caught	catch	VERB
ejpam-5922	141	58	in	in	ADP
ejpam-5922	141	59	1994	1994	NUM
ejpam-5922	141	60	.	.	PUNCT
ejpam-5922	142	1	n	n	PRON
ejpam-5922	142	2	=	=	SYM
ejpam-5922	142	3	69	69	NUM
ejpam-5922	142	4	,	,	PUNCT
ejpam-5922	142	5	n	n	NOUN
ejpam-5922	142	6	=	=	SYM
ejpam-5922	142	7	17	17	NUM
ejpam-5922	142	8	,	,	PUNCT
ejpam-5922	142	9	my	my	PRON
ejpam-5922	142	10	=	=	SYM
ejpam-5922	142	11	2068	2068	NUM
ejpam-5922	142	12	,	,	PUNCT
ejpam-5922	142	13	mx	mx	PROPN
ejpam-5922	142	14	=	=	SYM
ejpam-5922	142	15	2011	2011	NUM
ejpam-5922	142	16	,	,	PUNCT
ejpam-5922	142	17	fmy	fmy	PROPN
ejpam-5922	142	18	=	=	SYM
ejpam-5922	142	19	0.00014	0.00014	NUM
ejpam-5922	142	20	,	,	PUNCT
ejpam-5922	142	21	fmx	fmx	NOUN
ejpam-5922	142	22	=	=	SYM
ejpam-5922	142	23	0.00014	0.00014	NUM
ejpam-5922	142	24	,	,	PUNCT
ejpam-5922	142	25	ρyx	ρyx	X
ejpam-5922	142	26	=	=	SYM
ejpam-5922	142	27	0.1505	0.1505	PROPN
ejpam-5922	142	28	.	.	PUNCT
ejpam-5922	143	1	population	population	NOUN
ejpam-5922	143	2	2	2	NUM
ejpam-5922	143	3	:	:	PUNCT
ejpam-5922	143	4	[	[	X
ejpam-5922	143	5	source	source	NOUN
ejpam-5922	143	6	:	:	PUNCT
ejpam-5922	143	7	[	[	X
ejpam-5922	143	8	2	2	X
ejpam-5922	143	9	]	]	PUNCT
ejpam-5922	143	10	]	]	PUNCT
ejpam-5922	143	11	y	y	PROPN
ejpam-5922	143	12	=	=	SYM
ejpam-5922	143	13	u.s	u.s	PROPN
ejpam-5922	143	14	export	export	NOUN
ejpam-5922	143	15	in	in	ADP
ejpam-5922	143	16	singapore	singapore	PROPN
ejpam-5922	143	17	x	x	PUNCT
ejpam-5922	144	1	=	=	PUNCT
ejpam-5922	144	2	money	money	NOUN
ejpam-5922	144	3	supply	supply	NOUN
ejpam-5922	144	4	in	in	ADP
ejpam-5922	144	5	singapore	singapore	PROPN
ejpam-5922	144	6	.	.	PUNCT
ejpam-5922	145	1	n	n	PROPN
ejpam-5922	145	2	=	=	SYM
ejpam-5922	145	3	67	67	NUM
ejpam-5922	145	4	,	,	PUNCT
ejpam-5922	145	5	n	n	NOUN
ejpam-5922	145	6	=	=	SYM
ejpam-5922	145	7	23	23	NUM
ejpam-5922	145	8	,	,	PUNCT
ejpam-5922	145	9	my	my	PRON
ejpam-5922	145	10	=	=	NOUN
ejpam-5922	145	11	4.8	4.8	NUM
ejpam-5922	145	12	,	,	PUNCT
ejpam-5922	145	13	mx	mx	PROPN
ejpam-5922	145	14	=	=	SYM
ejpam-5922	145	15	7	7	NUM
ejpam-5922	145	16	,	,	PUNCT
ejpam-5922	145	17	fmy	fmy	PROPN
ejpam-5922	145	18	=	=	PUNCT
ejpam-5922	145	19	0.48294	0.48294	NUM
ejpam-5922	145	20	,	,	PUNCT
ejpam-5922	145	21	fmx	fmx	NOUN
ejpam-5922	145	22	=	=	PROPN
ejpam-5922	145	23	0.343079	0.343079	NUM
ejpam-5922	145	24	,	,	PUNCT
ejpam-5922	145	25	ρyx	ρyx	X
ejpam-5922	145	26	=	=	SYM
ejpam-5922	145	27	0.61194	0.61194	NUM
ejpam-5922	145	28	.	.	PUNCT
ejpam-5922	146	1	population	population	NOUN
ejpam-5922	146	2	3	3	NUM
ejpam-5922	146	3	:	:	PUNCT
ejpam-5922	146	4	[	[	X
ejpam-5922	146	5	source	source	NOUN
ejpam-5922	146	6	:	:	PUNCT
ejpam-5922	146	7	[	[	X
ejpam-5922	146	8	1	1	X
ejpam-5922	146	9	]	]	PUNCT
ejpam-5922	146	10	]	]	PUNCT
ejpam-5922	146	11	y	y	PROPN
ejpam-5922	146	12	=	=	PUNCT
ejpam-5922	146	13	oil	oil	NOUN
ejpam-5922	146	14	price	price	NOUN
ejpam-5922	146	15	from	from	ADP
ejpam-5922	146	16	1996	1996	NUM
ejpam-5922	146	17	to	to	ADP
ejpam-5922	146	18	2017	2017	NUM
ejpam-5922	146	19	x	x	SYM
ejpam-5922	146	20	=	=	PUNCT
ejpam-5922	146	21	oil	oil	NOUN
ejpam-5922	146	22	price	price	NOUN
ejpam-5922	146	23	in	in	ADP
ejpam-5922	146	24	preceding	precede	VERB
ejpam-5922	146	25	from	from	ADP
ejpam-5922	146	26	1996	1996	NUM
ejpam-5922	146	27	to	to	ADP
ejpam-5922	146	28	2017	2017	NUM
ejpam-5922	146	29	.	.	PUNCT
ejpam-5922	147	1	n	n	NOUN
ejpam-5922	147	2	=	=	SYM
ejpam-5922	147	3	1134	1134	NUM
ejpam-5922	147	4	,	,	PUNCT
ejpam-5922	147	5	n	n	NOUN
ejpam-5922	147	6	=	=	SYM
ejpam-5922	147	7	210	210	NUM
ejpam-5922	147	8	,	,	PUNCT
ejpam-5922	147	9	my	my	PRON
ejpam-5922	147	10	=	=	ADJ
ejpam-5922	147	11	48.5500	48.5500	NUM
ejpam-5922	147	12	,	,	PUNCT
ejpam-5922	147	13	mx	mx	NOUN
ejpam-5922	147	14	=	=	SYM
ejpam-5922	147	15	48.4900	48.4900	NUM
ejpam-5922	147	16	,	,	PUNCT
ejpam-5922	147	17	fmy	fmy	PROPN
ejpam-5922	147	18	=	=	SYM
ejpam-5922	147	19	0.00754	0.00754	NUM
ejpam-5922	147	20	,	,	PUNCT
ejpam-5922	147	21	fmx	fmx	NOUN
ejpam-5922	147	22	=	=	PUNCT
ejpam-5922	147	23	0.00754	0.00754	NUM
ejpam-5922	147	24	,	,	PUNCT
ejpam-5922	147	25	ρyx	ρyx	X
ejpam-5922	147	26	=	=	SYM
ejpam-5922	147	27	0.99530	0.99530	NUM
ejpam-5922	147	28	.	.	PUNCT
ejpam-5922	148	1	population	population	NOUN
ejpam-5922	148	2	4	4	NUM
ejpam-5922	148	3	:	:	PUNCT
ejpam-5922	148	4	[	[	X
ejpam-5922	148	5	source	source	NOUN
ejpam-5922	148	6	:	:	PUNCT
ejpam-5922	148	7	[	[	X
ejpam-5922	148	8	6	6	NUM
ejpam-5922	148	9	]	]	PUNCT
ejpam-5922	148	10	]	]	PUNCT
ejpam-5922	148	11	y	y	PROPN
ejpam-5922	148	12	=	=	PUNCT
ejpam-5922	148	13	master	master	NOUN
ejpam-5922	148	14	degree	degree	NOUN
ejpam-5922	148	15	in	in	ADP
ejpam-5922	148	16	2007	2007	NUM
ejpam-5922	148	17	x	x	X
ejpam-5922	148	18	=	=	PUNCT
ejpam-5922	148	19	master	master	NOUN
ejpam-5922	148	20	degree	degree	NOUN
ejpam-5922	148	21	in	in	ADP
ejpam-5922	148	22	2006	2006	NUM
ejpam-5922	148	23	.	.	PUNCT
ejpam-5922	149	1	s.	s.	PROPN
ejpam-5922	149	2	ahmad	ahmad	PROPN
ejpam-5922	149	3	et	et	PROPN
ejpam-5922	149	4	al	al	PROPN
ejpam-5922	149	5	.	.	PUNCT
ejpam-5922	149	6	/	/	SYM
ejpam-5922	149	7	eur	eur	PROPN
ejpam-5922	149	8	.	.	PUNCT
ejpam-5922	150	1	j.	j.	PROPN
ejpam-5922	150	2	pure	pure	PROPN
ejpam-5922	150	3	appl	appl	PROPN
ejpam-5922	150	4	.	.	PROPN
ejpam-5922	150	5	math	math	PROPN
ejpam-5922	150	6	,	,	PUNCT
ejpam-5922	150	7	18	18	NUM
ejpam-5922	150	8	(	(	PUNCT
ejpam-5922	150	9	2	2	NUM
ejpam-5922	150	10	)	)	PUNCT
ejpam-5922	150	11	(	(	PUNCT
ejpam-5922	150	12	2025	2025	NUM
ejpam-5922	150	13	)	)	PUNCT
ejpam-5922	150	14	,	,	PUNCT
ejpam-5922	150	15	5922	5922	NUM
ejpam-5922	150	16	8	8	NUM
ejpam-5922	150	17	of	of	ADP
ejpam-5922	150	18	17	17	NUM
ejpam-5922	150	19	n	n	NOUN
ejpam-5922	150	20	=	=	SYM
ejpam-5922	150	21	51	51	NUM
ejpam-5922	150	22	,	,	PUNCT
ejpam-5922	150	23	n	n	NOUN
ejpam-5922	150	24	=	=	NUM
ejpam-5922	150	25	11	11	NUM
ejpam-5922	150	26	,	,	PUNCT
ejpam-5922	150	27	my	my	PRON
ejpam-5922	150	28	=	=	SYM
ejpam-5922	150	29	25.8000	25.8000	NUM
ejpam-5922	150	30	,	,	PUNCT
ejpam-5922	150	31	mx	mx	PROPN
ejpam-5922	150	32	=	=	SYM
ejpam-5922	150	33	25.6000	25.6000	NUM
ejpam-5922	150	34	,	,	PUNCT
ejpam-5922	150	35	fmy	fmy	PROPN
ejpam-5922	150	36	=	=	SYM
ejpam-5922	150	37	0.07280	0.07280	NUM
ejpam-5922	150	38	,	,	PUNCT
ejpam-5922	150	39	fmx	fmx	PROPN
ejpam-5922	150	40	=	=	PUNCT
ejpam-5922	150	41	0.00754	0.00754	NUM
ejpam-5922	150	42	,	,	PUNCT
ejpam-5922	150	43	ρyx	ρyx	X
ejpam-5922	150	44	=	=	SYM
ejpam-5922	150	45	0.99530	0.99530	NUM
ejpam-5922	150	46	.	.	PUNCT
ejpam-5922	150	47	table	table	NOUN
ejpam-5922	150	48	1	1	NUM
ejpam-5922	150	49	:	:	PUNCT
ejpam-5922	150	50	members	member	NOUN
ejpam-5922	150	51	of	of	ADP
ejpam-5922	150	52	the	the	DET
ejpam-5922	150	53	recommended	recommend	VERB
ejpam-5922	150	54	class	class	NOUN
ejpam-5922	150	55	of	of	ADP
ejpam-5922	150	56	estimators	estimator	NOUN
ejpam-5922	150	57	α	α	X
ejpam-5922	150	58	β	β	X
ejpam-5922	150	59	m̃s	m̃	VERB
ejpam-5922	150	60	m̃gp	m̃gp	PROPN
ejpam-5922	150	61	1	1	NUM
ejpam-5922	150	62	cx	cx	NOUN
ejpam-5922	150	63	m̃s1	m̃s1	NOUN
ejpam-5922	150	64	m̃gp1	m̃gp1	ADJ
ejpam-5922	150	65	1	1	NUM
ejpam-5922	150	66	β2(x	β2(x	SYM
ejpam-5922	150	67	)	)	PUNCT
ejpam-5922	150	68	m̃s2	m̃s2	NOUN
ejpam-5922	150	69	m̃gp2	m̃gp2	PROPN
ejpam-5922	150	70	β2(x	β2(x	NUM
ejpam-5922	150	71	)	)	PUNCT
ejpam-5922	150	72	cx	cx	NOUN
ejpam-5922	150	73	m̃s3	m̃s3	PROPN
ejpam-5922	150	74	m̃gp3	m̃gp3	VERB
ejpam-5922	150	75	cx	cx	PROPN
ejpam-5922	150	76	β2(x	β2(x	NOUN
ejpam-5922	150	77	)	)	PUNCT
ejpam-5922	151	1	m̃s4	m̃s4	PROPN
ejpam-5922	151	2	m̃gp4	m̃gp4	VERB
ejpam-5922	151	3	1	1	NUM
ejpam-5922	151	4	ρyx	ρyx	PROPN
ejpam-5922	151	5	m̃s5	m̃s5	NOUN
ejpam-5922	151	6	m̃gp5	m̃gp5	PROPN
ejpam-5922	151	7	cx	cx	PROPN
ejpam-5922	151	8	ρyx	ρyx	PROPN
ejpam-5922	151	9	m̃s6	m̃s6	PROPN
ejpam-5922	151	10	m̃gp6	m̃gp6	PROPN
ejpam-5922	151	11	ρyx	ρyx	PROPN
ejpam-5922	151	12	cx	cx	PROPN
ejpam-5922	151	13	m̃s7	m̃s7	VERB
ejpam-5922	151	14	m̃gp7	m̃gp7	PROPN
ejpam-5922	151	15	β2(x	β2(x	NUM
ejpam-5922	151	16	)	)	PUNCT
ejpam-5922	151	17	ρyx	ρyx	PROPN
ejpam-5922	151	18	m̃s8	m̃s8	PROPN
ejpam-5922	151	19	m̃gp8	m̃gp8	PROPN
ejpam-5922	151	20	ρyx	ρyx	PROPN
ejpam-5922	151	21	β2(x	β2(x	NUM
ejpam-5922	151	22	)	)	PUNCT
ejpam-5922	151	23	m̃s9	m̃s9	PROPN
ejpam-5922	151	24	m̃gp9	m̃gp9	NOUN
ejpam-5922	151	25	1	1	NUM
ejpam-5922	151	26	nmx	nmx	ADJ
ejpam-5922	151	27	m̃s10	m̃s10	PROPN
ejpam-5922	151	28	m̃gp10	m̃gp10	PROPN
ejpam-5922	151	29	table	table	NOUN
ejpam-5922	151	30	2	2	NUM
ejpam-5922	151	31	:	:	PUNCT
ejpam-5922	151	32	mse	mse	NOUN
ejpam-5922	151	33	using	use	VERB
ejpam-5922	151	34	population	population	NOUN
ejpam-5922	151	35	1	1	NUM
ejpam-5922	151	36	estimators	estimator	NOUN
ejpam-5922	151	37	v	v	ADP
ejpam-5922	151	38	alues	alues	PROPN
ejpam-5922	151	39	m̃s	m̃s	VERB
ejpam-5922	151	40	m̃gp	m̃gp	PROPN
ejpam-5922	151	41	m̃u	m̃u	PROPN
ejpam-5922	151	42	565443.600	565443.600	PROPN
ejpam-5922	151	43	627047.800	627047.800	NUM
ejpam-5922	151	44	373018.400	373018.400	NUM
ejpam-5922	151	45	m̃r	m̃r	NOUN
ejpam-5922	151	46	988372.800	988372.800	NUM
ejpam-5922	151	47	626625.000	626625.000	NUM
ejpam-5922	151	48	373125.800	373125.800	NUM
ejpam-5922	151	49	m̃d	m̃d	NOUN
ejpam-5922	152	1	552636.100	552636.100	NUM
ejpam-5922	152	2	627371.200	627371.200	PROPN
ejpam-5922	152	3	372936.300	372936.300	NUM
ejpam-5922	152	4	m̃e	m̃e	NOUN
ejpam-5922	152	5	627420.200	627420.200	NUM
ejpam-5922	152	6	626097.100	626097.100	NUM
ejpam-5922	152	7	372981.000	372981.000	NUM
ejpam-5922	152	8	m̃rd1	m̃rd1	NOUN
ejpam-5922	152	9	489395.200	489395.200	NUM
ejpam-5922	152	10	627404.400	627404.400	NUM
ejpam-5922	152	11	372927.900	372927.900	NUM
ejpam-5922	152	12	m̃rd2	m̃rd2	NOUN
ejpam-5922	152	13	480458.300	480458.300	NUM
ejpam-5922	152	14	627415.800	627415.800	NUM
ejpam-5922	152	15	372925.000	372925.000	NUM
ejpam-5922	152	16	624987.400	624987.400	NUM
ejpam-5922	153	1	373542.300	373542.300	NUM
ejpam-5922	153	2	627418.100	627418.100	NUM
ejpam-5922	153	3	372924.400	372924.400	NUM
ejpam-5922	153	4	622322.700	622322.700	NUM
ejpam-5922	153	5	374222.000	374222.000	NUM
ejpam-5922	153	6	564223.900	564223.900	NUM
ejpam-5922	153	7	398752.300	398752.300	NUM
ejpam-5922	153	8	s.	s.	PROPN
ejpam-5922	153	9	ahmad	ahmad	PROPN
ejpam-5922	153	10	et	et	PROPN
ejpam-5922	153	11	al	al	PROPN
ejpam-5922	153	12	.	.	PUNCT
ejpam-5922	153	13	/	/	SYM
ejpam-5922	153	14	eur	eur	PROPN
ejpam-5922	153	15	.	.	PUNCT
ejpam-5922	154	1	j.	j.	PROPN
ejpam-5922	154	2	pure	pure	PROPN
ejpam-5922	154	3	appl	appl	PROPN
ejpam-5922	154	4	.	.	PROPN
ejpam-5922	154	5	math	math	PROPN
ejpam-5922	154	6	,	,	PUNCT
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ejpam-5922	154	8	(	(	PUNCT
ejpam-5922	154	9	2	2	NUM
ejpam-5922	154	10	)	)	PUNCT
ejpam-5922	154	11	(	(	PUNCT
ejpam-5922	154	12	2025	2025	NUM
ejpam-5922	154	13	)	)	PUNCT
ejpam-5922	154	14	,	,	PUNCT
ejpam-5922	154	15	5922	5922	NUM
ejpam-5922	154	16	9	9	NUM
ejpam-5922	154	17	of	of	ADP
ejpam-5922	154	18	17	17	NUM
ejpam-5922	154	19	table	table	NOUN
ejpam-5922	154	20	3	3	NUM
ejpam-5922	154	21	:	:	PUNCT
ejpam-5922	154	22	pre	pre	VERB
ejpam-5922	154	23	using	use	VERB
ejpam-5922	154	24	population	population	NOUN
ejpam-5922	154	25	1	1	NUM
ejpam-5922	154	26	estimators	estimator	NOUN
ejpam-5922	154	27	values	value	NOUN
ejpam-5922	154	28	m̃s	m̃s	VERB
ejpam-5922	154	29	m̃gp	m̃gp	PROPN
ejpam-5922	154	30	m̃u	m̃u	PROPN
ejpam-5922	154	31	100	100	NUM
ejpam-5922	154	32	90.175	90.175	NUM
ejpam-5922	154	33	151.586	151.586	NUM
ejpam-5922	154	34	m̃r	m̃r	NOUN
ejpam-5922	154	35	57.209	57.209	NUM
ejpam-5922	154	36	90.236	90.236	NUM
ejpam-5922	154	37	151.542	151.542	NUM
ejpam-5922	154	38	m̃d	m̃d	PROPN
ejpam-5922	154	39	102.317	102.317	NUM
ejpam-5922	154	40	90.129	90.129	NUM
ejpam-5922	154	41	151.619	151.619	NUM
ejpam-5922	154	42	m̃e	m̃e	NOUN
ejpam-5922	154	43	90.121	90.121	NUM
ejpam-5922	154	44	90.312	90.312	NUM
ejpam-5922	154	45	151.601	151.601	NUM
ejpam-5922	154	46	m̃rd1	m̃rd1	NOUN
ejpam-5922	154	47	115.539	115.539	NUM
ejpam-5922	154	48	90.124	90.124	NUM
ejpam-5922	154	49	151.622	151.622	NUM
ejpam-5922	154	50	m̃rd2	m̃rd2	NOUN
ejpam-5922	154	51	117.688	117.688	NUM
ejpam-5922	154	52	90.122	90.122	NUM
ejpam-5922	154	53	151.623	151.623	NUM
ejpam-5922	154	54	90.472	90.472	NUM
ejpam-5922	154	55	151.373	151.373	NUM
ejpam-5922	154	56	90.122	90.122	NUM
ejpam-5922	154	57	151.624	151.624	NUM
ejpam-5922	154	58	90.860	90.860	NUM
ejpam-5922	154	59	151.098	151.098	NUM
ejpam-5922	154	60	100.216	100.216	NUM
ejpam-5922	154	61	141.803	141.803	NUM
ejpam-5922	154	62	table	table	NOUN
ejpam-5922	154	63	4	4	NUM
ejpam-5922	154	64	:	:	PUNCT
ejpam-5922	154	65	mse	mse	NOUN
ejpam-5922	154	66	using	use	VERB
ejpam-5922	154	67	population	population	NOUN
ejpam-5922	154	68	2	2	NUM
ejpam-5922	154	69	estimators	estimator	NOUN
ejpam-5922	154	70	values	value	NOUN
ejpam-5922	154	71	m̃s	m̃s	VERB
ejpam-5922	154	72	m̃gp	m̃gp	PROPN
ejpam-5922	154	73	m̃u	m̃u	PROPN
ejpam-5922	154	74	0.0306078	0.0306078	NUM
ejpam-5922	154	75	0.0198950	0.0198950	NUM
ejpam-5922	154	76	0.019076	0.019076	NUM
ejpam-5922	154	77	m̃r	m̃r	NOUN
ejpam-5922	154	78	0.0229662	0.0229662	NUM
ejpam-5922	154	79	0.019150	0.019150	NUM
ejpam-5922	154	80	0.019068	0.019068	NUM
ejpam-5922	154	81	m̃d	m̃d	PROPN
ejpam-5922	154	82	0.019146	0.019146	NUM
ejpam-5922	154	83	0.019498	0.019498	NUM
ejpam-5922	154	84	0.019073	0.019073	NUM
ejpam-5922	154	85	m̃e	m̃e	NOUN
ejpam-5922	154	86	0.019658	0.019658	NUM
ejpam-5922	154	87	0.019477	0.019477	NUM
ejpam-5922	154	88	0.019039	0.019039	NUM
ejpam-5922	154	89	m̃rd1	m̃rd1	VERB
ejpam-5922	154	90	0.019130	0.019130	NUM
ejpam-5922	154	91	0.020011	0.020011	NUM
ejpam-5922	154	92	0.019076	0.019076	NUM
ejpam-5922	154	93	m̃rd2	m̃rd2	NOUN
ejpam-5922	154	94	0.019130	0.019130	NUM
ejpam-5922	154	95	0.020535	0.020535	NUM
ejpam-5922	154	96	0.019078	0.019078	NUM
ejpam-5922	154	97	0.020052	0.020052	NUM
ejpam-5922	154	98	0.019077	0.019077	NUM
ejpam-5922	154	99	0.019430	0.019430	NUM
ejpam-5922	155	1	0.019073	0.019073	NUM
ejpam-5922	155	2	0.019431	0.019431	NUM
ejpam-5922	155	3	0.019059	0.019059	NUM
ejpam-5922	155	4	0.030343	0.030343	NUM
ejpam-5922	155	5	0.0190869	0.0190869	NUM
ejpam-5922	155	6	table	table	NOUN
ejpam-5922	155	7	5	5	NUM
ejpam-5922	155	8	:	:	PUNCT
ejpam-5922	155	9	pre	pre	VERB
ejpam-5922	155	10	using	use	VERB
ejpam-5922	155	11	population	population	NOUN
ejpam-5922	155	12	2	2	NUM
ejpam-5922	155	13	estimators	estimator	NOUN
ejpam-5922	155	14	values	value	NOUN
ejpam-5922	155	15	m̃s	m̃s	VERB
ejpam-5922	155	16	m̃gp	m̃gp	PROPN
ejpam-5922	155	17	m̃u	m̃u	PROPN
ejpam-5922	155	18	100	100	NUM
ejpam-5922	155	19	153.846600	153.846600	NUM
ejpam-5922	155	20	160.449400	160.449400	NUM
ejpam-5922	155	21	m̃r	m̃r	NOUN
ejpam-5922	155	22	133.273200	133.273200	NUM
ejpam-5922	155	23	159.825500	159.825500	NUM
ejpam-5922	155	24	160.519400	160.519400	NUM
ejpam-5922	155	25	m̃d	m̃d	NOUN
ejpam-5922	155	26	159.864600	159.864600	NUM
ejpam-5922	155	27	156.972900	156.972900	NUM
ejpam-5922	155	28	160.470600	160.470600	NUM
ejpam-5922	155	29	m̃e	m̃e	NOUN
ejpam-5922	155	30	155.701300	155.701300	NUM
ejpam-5922	155	31	157.144600	157.144600	NUM
ejpam-5922	155	32	160.758400	160.758400	NUM
ejpam-5922	155	33	m̃rd1	m̃rd1	NOUN
ejpam-5922	155	34	159.997400	159.997400	NUM
ejpam-5922	155	35	152.952900	152.952900	NUM
ejpam-5922	155	36	160.444700	160.444700	NUM
ejpam-5922	155	37	m̃rd2	m̃rd2	NOUN
ejpam-5922	155	38	159.997600	159.997600	NUM
ejpam-5922	155	39	149.047300	149.047300	NUM
ejpam-5922	155	40	160.427900	160.427900	NUM
ejpam-5922	155	41	152.638500	152.638500	NUM
ejpam-5922	155	42	160.443100	160.443100	NUM
ejpam-5922	155	43	157.528400	157.528400	NUM
ejpam-5922	155	44	160.475800	160.475800	NUM
ejpam-5922	155	45	157.519800	157.519800	NUM
ejpam-5922	155	46	160.588600	160.588600	NUM
ejpam-5922	155	47	100.871100	100.871100	NUM
ejpam-5922	155	48	160.360200	160.360200	NUM
ejpam-5922	155	49	s.	s.	PROPN
ejpam-5922	155	50	ahmad	ahmad	PROPN
ejpam-5922	155	51	et	et	PROPN
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ejpam-5922	155	53	.	.	PUNCT
ejpam-5922	155	54	/	/	SYM
ejpam-5922	155	55	eur	eur	PROPN
ejpam-5922	155	56	.	.	PUNCT
ejpam-5922	156	1	j.	j.	PROPN
ejpam-5922	156	2	pure	pure	PROPN
ejpam-5922	156	3	appl	appl	PROPN
ejpam-5922	156	4	.	.	PROPN
ejpam-5922	156	5	math	math	PROPN
ejpam-5922	156	6	,	,	PUNCT
ejpam-5922	156	7	18	18	NUM
ejpam-5922	156	8	(	(	PUNCT
ejpam-5922	156	9	2	2	NUM
ejpam-5922	156	10	)	)	PUNCT
ejpam-5922	156	11	(	(	PUNCT
ejpam-5922	156	12	2025	2025	NUM
ejpam-5922	156	13	)	)	PUNCT
ejpam-5922	156	14	,	,	PUNCT
ejpam-5922	156	15	5922	5922	NUM
ejpam-5922	156	16	10	10	NUM
ejpam-5922	156	17	of	of	ADP
ejpam-5922	156	18	17	17	NUM
ejpam-5922	156	19	table	table	NOUN
ejpam-5922	156	20	6	6	NUM
ejpam-5922	156	21	:	:	PUNCT
ejpam-5922	156	22	mse	mse	NOUN
ejpam-5922	156	23	using	use	VERB
ejpam-5922	156	24	population	population	NOUN
ejpam-5922	156	25	3	3	NUM
ejpam-5922	156	26	estimators	estimator	NOUN
ejpam-5922	156	27	values	value	NOUN
ejpam-5922	156	28	m̃s	m̃s	VERB
ejpam-5922	156	29	m̃gp	m̃gp	PROPN
ejpam-5922	156	30	m̃u	m̃u	PROPN
ejpam-5922	156	31	17.06228000	17.06228000	NUM
ejpam-5922	156	32	4.79872700	4.79872700	NUM
ejpam-5922	156	33	0.09149240	0.09149240	NUM
ejpam-5922	156	34	m̃r	m̃r	NOUN
ejpam-5922	156	35	0.16061000	0.16061000	NUM
ejpam-5922	156	36	5.56053900	5.56053900	NUM
ejpam-5922	156	37	0.09486919	0.09486919	NUM
ejpam-5922	156	38	m̃d	m̃d	PROPN
ejpam-5922	156	39	0.16000850	0.16000850	NUM
ejpam-5922	156	40	4.39771000	4.39771000	NUM
ejpam-5922	156	41	0.08942814	0.08942814	NUM
ejpam-5922	156	42	m̃e	m̃e	NOUN
ejpam-5922	156	43	4.33531100	4.33531100	NUM
ejpam-5922	156	44	5.23074000	5.23074000	NUM
ejpam-5922	156	45	0.09153061	0.09153061	NUM
ejpam-5922	156	46	m̃rd1	m̃rd1	NOUN
ejpam-5922	156	47	0.15999760	0.15999760	NUM
ejpam-5922	156	48	4.50701300	4.50701300	NUM
ejpam-5922	156	49	0.09001304	0.09001304	NUM
ejpam-5922	156	50	m̃rd2	m̃rd2	NOUN
ejpam-5922	156	51	0.15999750	0.15999750	NUM
ejpam-5922	157	1	4.39849600	4.39849600	NUM
ejpam-5922	157	2	0.08943241	0.08943241	NUM
ejpam-5922	157	3	4.80085300	4.80085300	NUM
ejpam-5922	157	4	0.09150277	0.09150277	NUM
ejpam-5922	157	5	4.35807100	4.35807100	NUM
ejpam-5922	157	6	0.09150277	0.09150277	NUM
ejpam-5922	157	7	5.56585900	5.56585900	NUM
ejpam-5922	157	8	0.09150277	0.09150277	NUM
ejpam-5922	157	9	17.047300	17.047300	NUM
ejpam-5922	157	10	0.09150277	0.09150277	NUM
ejpam-5922	157	11	table	table	NOUN
ejpam-5922	157	12	7	7	NUM
ejpam-5922	157	13	:	:	PUNCT
ejpam-5922	157	14	pre	pre	VERB
ejpam-5922	157	15	using	use	VERB
ejpam-5922	157	16	population	population	NOUN
ejpam-5922	157	17	3	3	NUM
ejpam-5922	157	18	estimators	estimator	NOUN
ejpam-5922	157	19	values	value	NOUN
ejpam-5922	157	20	m̃s	m̃s	VERB
ejpam-5922	157	21	m̃gp	m̃gp	PROPN
ejpam-5922	157	22	m̃u	m̃u	PROPN
ejpam-5922	157	23	100	100	NUM
ejpam-5922	157	24	355.5584	355.5584	NUM
ejpam-5922	157	25	18648.8400	18648.8400	NUM
ejpam-5922	157	26	m̃r	m̃r	NOUN
ejpam-5922	157	27	10623.4200	10623.4200	NUM
ejpam-5922	157	28	306.8457	306.8457	NUM
ejpam-5922	157	29	17985.0500	17985.0500	NUM
ejpam-5922	157	30	m̃d	m̃d	NOUN
ejpam-5922	157	31	10663.3600	10663.3600	NUM
ejpam-5922	157	32	387.9809	387.9809	NUM
ejpam-5922	157	33	19079.3100	19079.3100	NUM
ejpam-5922	157	34	m̃e	m̃e	NOUN
ejpam-5922	157	35	393.5652	393.5652	NUM
ejpam-5922	157	36	326.1924	326.1924	NUM
ejpam-5922	157	37	18641.0600	18641.0600	NUM
ejpam-5922	157	38	m̃rd1	m̃rd1	NOUN
ejpam-5922	157	39	10664.0800	10664.0800	NUM
ejpam-5922	157	40	378.5717	378.5717	NUM
ejpam-5922	157	41	18955.3400	18955.3400	NOUN
ejpam-5922	157	42	m̃rd2	m̃rd2	NOUN
ejpam-5922	157	43	10664.0900	10664.0900	PROPN
ejpam-5922	157	44	387.9116	387.9116	NUM
ejpam-5922	157	45	19078.4000	19078.4000	NUM
ejpam-5922	157	46	355.4009	355.4009	NUM
ejpam-5922	157	47	18646.7300	18646.7300	NUM
ejpam-5922	157	48	391.5098	391.5098	NUM
ejpam-5922	157	49	19125.6100	19125.6100	NUM
ejpam-5922	157	50	306.5524	306.5524	NUM
ejpam-5922	157	51	17981.0000	17981.0000	NUM
ejpam-5922	157	52	100.0879	100.0879	NUM
ejpam-5922	157	53	15439.0300	15439.0300	NUM
ejpam-5922	157	54	table	table	NOUN
ejpam-5922	157	55	8	8	NUM
ejpam-5922	157	56	:	:	PUNCT
ejpam-5922	157	57	mse	mse	NOUN
ejpam-5922	157	58	using	use	VERB
ejpam-5922	157	59	population	population	NOUN
ejpam-5922	157	60	4	4	NUM
ejpam-5922	157	61	estimators	estimator	NOUN
ejpam-5922	157	62	values	value	NOUN
ejpam-5922	157	63	m̃s	m̃s	VERB
ejpam-5922	157	64	m̃gp	m̃gp	PROPN
ejpam-5922	157	65	m̃u	m̃u	PROPN
ejpam-5922	157	66	3.363368	3.363368	NUM
ejpam-5922	157	67	1.497556	1.497556	NUM
ejpam-5922	157	68	0.02741737	0.02741737	NUM
ejpam-5922	157	69	m̃r	m̃r	NOUN
ejpam-5922	157	70	0.3659373	0.3659373	NUM
ejpam-5922	157	71	1.840453	1.840453	NUM
ejpam-5922	157	72	0.0276705	0.0276705	NUM
ejpam-5922	157	73	m̃d	m̃d	PROPN
ejpam-5922	157	74	0.02953252	0.02953252	NUM
ejpam-5922	157	75	1.47938	1.47938	NUM
ejpam-5922	157	76	0.02740078	0.02740078	NUM
ejpam-5922	157	77	m̃e	m̃e	NOUN
ejpam-5922	157	78	1.476601	1.476601	NUM
ejpam-5922	157	79	1.751034	1.751034	NUM
ejpam-5922	157	80	0.02785551	0.02785551	NUM
ejpam-5922	157	81	m̃rd1	m̃rd1	NOUN
ejpam-5922	157	82	0.02953121	0.02953121	NUM
ejpam-5922	157	83	1.533249	1.533249	NUM
ejpam-5922	157	84	0.02744888	0.02744888	NUM
ejpam-5922	157	85	m̃rd2	m̃rd2	NOUN
ejpam-5922	157	86	0.02953121	0.02953121	NUM
ejpam-5922	157	87	1.625763	1.625763	NUM
ejpam-5922	157	88	0.02752447	0.02752447	NUM
ejpam-5922	157	89	1.497648	1.497648	NUM
ejpam-5922	157	90	0.02741745	0.02741745	NUM
ejpam-5922	157	91	1.48423	1.48423	NUM
ejpam-5922	157	92	0.02740524	0.02740524	NUM
ejpam-5922	157	93	1.841761	1.841761	NUM
ejpam-5922	157	94	0.02767128	0.02767128	NUM
ejpam-5922	157	95	3.319765	3.319765	NUM
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ejpam-5922	157	97	s.	s.	PROPN
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ejpam-5922	157	102	/	/	SYM
ejpam-5922	157	103	eur	eur	PROPN
ejpam-5922	157	104	.	.	PUNCT
ejpam-5922	158	1	j.	j.	PROPN
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ejpam-5922	158	3	appl	appl	PROPN
ejpam-5922	158	4	.	.	PROPN
ejpam-5922	158	5	math	math	PROPN
ejpam-5922	158	6	,	,	PUNCT
ejpam-5922	158	7	18	18	NUM
ejpam-5922	158	8	(	(	PUNCT
ejpam-5922	158	9	2	2	NUM
ejpam-5922	158	10	)	)	PUNCT
ejpam-5922	158	11	(	(	PUNCT
ejpam-5922	158	12	2025	2025	NUM
ejpam-5922	158	13	)	)	PUNCT
ejpam-5922	158	14	,	,	PUNCT
ejpam-5922	158	15	5922	5922	NUM
ejpam-5922	158	16	11	11	NUM
ejpam-5922	158	17	of	of	ADP
ejpam-5922	158	18	17	17	NUM
ejpam-5922	158	19	table	table	NOUN
ejpam-5922	158	20	9	9	NUM
ejpam-5922	158	21	:	:	PUNCT
ejpam-5922	158	22	pre	pre	VERB
ejpam-5922	158	23	using	use	VERB
ejpam-5922	158	24	population	population	NOUN
ejpam-5922	158	25	4	4	NUM
ejpam-5922	158	26	estimators	estimator	NOUN
ejpam-5922	158	27	values	value	NOUN
ejpam-5922	158	28	m̃s	m̃s	VERB
ejpam-5922	158	29	m̃gp	m̃gp	PROPN
ejpam-5922	158	30	m̃u	m̃u	PROPN
ejpam-5922	158	31	100	100	NUM
ejpam-5922	158	32	224.5904	224.5904	NUM
ejpam-5922	158	33	12267.29	12267.29	NUM
ejpam-5922	158	34	m̃r	m̃r	NOUN
ejpam-5922	158	35	919.1105	919.1105	NUM
ejpam-5922	158	36	182.7468	182.7468	NUM
ejpam-5922	158	37	12155.07	12155.07	NUM
ejpam-5922	158	38	m̃d	m̃d	PROPN
ejpam-5922	158	39	11388.6900	11388.6900	PROPN
ejpam-5922	158	40	227.3499	227.3499	NUM
ejpam-5922	158	41	12274.72	12274.72	NUM
ejpam-5922	158	42	m̃e	m̃e	NOUN
ejpam-5922	158	43	227.7777	227.7777	NUM
ejpam-5922	158	44	192.079	192.079	NUM
ejpam-5922	158	45	12074.34	12074.34	NUM
ejpam-5922	158	46	m̃rd1	m̃rd1	NOUN
ejpam-5922	158	47	11389.2000	11389.2000	NUM
ejpam-5922	159	1	219.3621	219.3621	NUM
ejpam-5922	159	2	12253.21	12253.21	NUM
ejpam-5922	159	3	m̃rd2	m̃rd2	NOUN
ejpam-5922	159	4	11389.3000	11389.3000	NUM
ejpam-5922	159	5	206.8794	206.8794	NUM
ejpam-5922	159	6	12219.56	12219.56	NUM
ejpam-5922	159	7	224.5767	224.5767	NUM
ejpam-5922	159	8	12267.25	12267.25	NUM
ejpam-5922	159	9	226.6069	226.6069	NUM
ejpam-5922	159	10	12272.72	12272.72	NUM
ejpam-5922	159	11	182.617	182.617	NUM
ejpam-5922	159	12	12154.72	12154.72	NUM
ejpam-5922	159	13	101.3134	101.3134	NUM
ejpam-5922	159	14	11996.84	11996.84	NUM
ejpam-5922	159	15	figure	figure	NOUN
ejpam-5922	159	16	1	1	NUM
ejpam-5922	159	17	:	:	PUNCT
ejpam-5922	159	18	mse	mse	NOUN
ejpam-5922	159	19	of	of	ADP
ejpam-5922	159	20	median	median	ADJ
ejpam-5922	159	21	estimators	estimator	NOUN
ejpam-5922	159	22	using	use	VERB
ejpam-5922	159	23	population	population	NOUN
ejpam-5922	159	24	1	1	NUM
ejpam-5922	159	25	s.	s.	PROPN
ejpam-5922	159	26	ahmad	ahmad	PROPN
ejpam-5922	159	27	et	et	PROPN
ejpam-5922	159	28	al	al	PROPN
ejpam-5922	159	29	.	.	PUNCT
ejpam-5922	159	30	/	/	SYM
ejpam-5922	159	31	eur	eur	PROPN
ejpam-5922	159	32	.	.	PUNCT
ejpam-5922	160	1	j.	j.	PROPN
ejpam-5922	160	2	pure	pure	PROPN
ejpam-5922	160	3	appl	appl	PROPN
ejpam-5922	160	4	.	.	PROPN
ejpam-5922	160	5	math	math	PROPN
ejpam-5922	160	6	,	,	PUNCT
ejpam-5922	160	7	18	18	NUM
ejpam-5922	160	8	(	(	PUNCT
ejpam-5922	160	9	2	2	NUM
ejpam-5922	160	10	)	)	PUNCT
ejpam-5922	160	11	(	(	PUNCT
ejpam-5922	160	12	2025	2025	NUM
ejpam-5922	160	13	)	)	PUNCT
ejpam-5922	160	14	,	,	PUNCT
ejpam-5922	160	15	5922	5922	NUM
ejpam-5922	160	16	12	12	NUM
ejpam-5922	160	17	of	of	ADP
ejpam-5922	160	18	17	17	NUM
ejpam-5922	160	19	figure	figure	NOUN
ejpam-5922	160	20	2	2	NUM
ejpam-5922	160	21	:	:	PUNCT
ejpam-5922	160	22	pre	pre	X
ejpam-5922	160	23	of	of	ADP
ejpam-5922	160	24	median	median	ADJ
ejpam-5922	160	25	estimators	estimator	NOUN
ejpam-5922	160	26	using	use	VERB
ejpam-5922	160	27	population	population	NOUN
ejpam-5922	160	28	1	1	NUM
ejpam-5922	160	29	figure	figure	NOUN
ejpam-5922	160	30	3	3	NUM
ejpam-5922	160	31	:	:	PUNCT
ejpam-5922	160	32	mse	mse	NOUN
ejpam-5922	160	33	of	of	ADP
ejpam-5922	160	34	median	median	ADJ
ejpam-5922	160	35	estimators	estimator	NOUN
ejpam-5922	160	36	using	use	VERB
ejpam-5922	160	37	population	population	NOUN
ejpam-5922	160	38	2	2	NUM
ejpam-5922	160	39	s.	s.	PROPN
ejpam-5922	160	40	ahmad	ahmad	PROPN
ejpam-5922	160	41	et	et	PROPN
ejpam-5922	160	42	al	al	PROPN
ejpam-5922	160	43	.	.	PUNCT
ejpam-5922	160	44	/	/	SYM
ejpam-5922	160	45	eur	eur	PROPN
ejpam-5922	160	46	.	.	PUNCT
ejpam-5922	161	1	j.	j.	PROPN
ejpam-5922	161	2	pure	pure	PROPN
ejpam-5922	161	3	appl	appl	PROPN
ejpam-5922	161	4	.	.	PROPN
ejpam-5922	161	5	math	math	PROPN
ejpam-5922	161	6	,	,	PUNCT
ejpam-5922	161	7	18	18	NUM
ejpam-5922	161	8	(	(	PUNCT
ejpam-5922	161	9	2	2	NUM
ejpam-5922	161	10	)	)	PUNCT
ejpam-5922	161	11	(	(	PUNCT
ejpam-5922	161	12	2025	2025	NUM
ejpam-5922	161	13	)	)	PUNCT
ejpam-5922	161	14	,	,	PUNCT
ejpam-5922	161	15	5922	5922	NUM
ejpam-5922	161	16	13	13	NUM
ejpam-5922	161	17	of	of	ADP
ejpam-5922	161	18	17	17	NUM
ejpam-5922	161	19	figure	figure	NOUN
ejpam-5922	161	20	4	4	NUM
ejpam-5922	161	21	:	:	PUNCT
ejpam-5922	161	22	pre	pre	X
ejpam-5922	161	23	of	of	ADP
ejpam-5922	161	24	median	median	ADJ
ejpam-5922	161	25	estimators	estimator	NOUN
ejpam-5922	161	26	using	use	VERB
ejpam-5922	161	27	population	population	NOUN
ejpam-5922	161	28	2	2	NUM
ejpam-5922	161	29	figure	figure	NOUN
ejpam-5922	161	30	5	5	NUM
ejpam-5922	161	31	:	:	PUNCT
ejpam-5922	161	32	mse	mse	NOUN
ejpam-5922	161	33	of	of	ADP
ejpam-5922	161	34	median	median	ADJ
ejpam-5922	161	35	estimators	estimator	NOUN
ejpam-5922	161	36	using	use	VERB
ejpam-5922	161	37	population	population	NOUN
ejpam-5922	161	38	3	3	NUM
ejpam-5922	161	39	s.	s.	PROPN
ejpam-5922	161	40	ahmad	ahmad	PROPN
ejpam-5922	161	41	et	et	PROPN
ejpam-5922	161	42	al	al	PROPN
ejpam-5922	161	43	.	.	PUNCT
ejpam-5922	161	44	/	/	SYM
ejpam-5922	161	45	eur	eur	PROPN
ejpam-5922	161	46	.	.	PUNCT
ejpam-5922	162	1	j.	j.	PROPN
ejpam-5922	162	2	pure	pure	PROPN
ejpam-5922	162	3	appl	appl	PROPN
ejpam-5922	162	4	.	.	PROPN
ejpam-5922	162	5	math	math	PROPN
ejpam-5922	162	6	,	,	PUNCT
ejpam-5922	162	7	18	18	NUM
ejpam-5922	162	8	(	(	PUNCT
ejpam-5922	162	9	2	2	NUM
ejpam-5922	162	10	)	)	PUNCT
ejpam-5922	162	11	(	(	PUNCT
ejpam-5922	162	12	2025	2025	NUM
ejpam-5922	162	13	)	)	PUNCT
ejpam-5922	162	14	,	,	PUNCT
ejpam-5922	162	15	5922	5922	NUM
ejpam-5922	162	16	14	14	NUM
ejpam-5922	162	17	of	of	ADP
ejpam-5922	162	18	17	17	NUM
ejpam-5922	162	19	figure	figure	NOUN
ejpam-5922	162	20	6	6	NUM
ejpam-5922	162	21	:	:	PUNCT
ejpam-5922	162	22	pre	pre	X
ejpam-5922	162	23	of	of	ADP
ejpam-5922	162	24	median	median	ADJ
ejpam-5922	162	25	estimators	estimator	NOUN
ejpam-5922	162	26	using	use	VERB
ejpam-5922	162	27	population	population	NOUN
ejpam-5922	162	28	3	3	NUM
ejpam-5922	162	29	figure	figure	NOUN
ejpam-5922	162	30	7	7	NUM
ejpam-5922	162	31	:	:	PUNCT
ejpam-5922	162	32	mse	mse	NOUN
ejpam-5922	162	33	of	of	ADP
ejpam-5922	162	34	median	median	ADJ
ejpam-5922	162	35	estimators	estimator	NOUN
ejpam-5922	162	36	using	use	VERB
ejpam-5922	162	37	population	population	NOUN
ejpam-5922	162	38	4	4	NUM
ejpam-5922	162	39	s.	s.	PROPN
ejpam-5922	162	40	ahmad	ahmad	PROPN
ejpam-5922	162	41	et	et	PROPN
ejpam-5922	162	42	al	al	PROPN
ejpam-5922	162	43	.	.	PUNCT
ejpam-5922	162	44	/	/	SYM
ejpam-5922	162	45	eur	eur	PROPN
ejpam-5922	162	46	.	.	PUNCT
ejpam-5922	163	1	j.	j.	PROPN
ejpam-5922	163	2	pure	pure	PROPN
ejpam-5922	163	3	appl	appl	PROPN
ejpam-5922	163	4	.	.	PROPN
ejpam-5922	163	5	math	math	PROPN
ejpam-5922	163	6	,	,	PUNCT
ejpam-5922	163	7	18	18	NUM
ejpam-5922	163	8	(	(	PUNCT
ejpam-5922	163	9	2	2	NUM
ejpam-5922	163	10	)	)	PUNCT
ejpam-5922	163	11	(	(	PUNCT
ejpam-5922	163	12	2025	2025	NUM
ejpam-5922	163	13	)	)	PUNCT
ejpam-5922	163	14	,	,	PUNCT
ejpam-5922	163	15	5922	5922	NUM
ejpam-5922	163	16	15	15	NUM
ejpam-5922	163	17	of	of	ADP
ejpam-5922	163	18	17	17	NUM
ejpam-5922	163	19	figure	figure	NOUN
ejpam-5922	163	20	8	8	NUM
ejpam-5922	163	21	:	:	PUNCT
ejpam-5922	163	22	pre	pre	X
ejpam-5922	163	23	of	of	ADP
ejpam-5922	163	24	median	median	ADJ
ejpam-5922	163	25	estimators	estimator	NOUN
ejpam-5922	163	26	using	use	VERB
ejpam-5922	163	27	population	population	NOUN
ejpam-5922	163	28	4	4	NUM
ejpam-5922	163	29	s.	s.	PROPN
ejpam-5922	163	30	ahmad	ahmad	PROPN
ejpam-5922	163	31	et	et	PROPN
ejpam-5922	163	32	al	al	PROPN
ejpam-5922	163	33	.	.	PUNCT
ejpam-5922	163	34	/	/	SYM
ejpam-5922	163	35	eur	eur	PROPN
ejpam-5922	163	36	.	.	PUNCT
ejpam-5922	164	1	j.	j.	PROPN
ejpam-5922	164	2	pure	pure	PROPN
ejpam-5922	164	3	appl	appl	PROPN
ejpam-5922	164	4	.	.	PROPN
ejpam-5922	164	5	math	math	PROPN
ejpam-5922	164	6	,	,	PUNCT
ejpam-5922	164	7	18	18	NUM
ejpam-5922	164	8	(	(	PUNCT
ejpam-5922	164	9	2	2	NUM
ejpam-5922	164	10	)	)	PUNCT
ejpam-5922	164	11	(	(	PUNCT
ejpam-5922	164	12	2025	2025	NUM
ejpam-5922	164	13	)	)	PUNCT
ejpam-5922	164	14	,	,	PUNCT
ejpam-5922	164	15	5922	5922	NUM
ejpam-5922	164	16	16	16	NUM
ejpam-5922	164	17	of	of	ADP
ejpam-5922	164	18	17	17	NUM
ejpam-5922	164	19	6	6	NUM
ejpam-5922	164	20	.	.	PUNCT
ejpam-5922	165	1	conclusion	conclusion	NOUN
ejpam-5922	165	2	in	in	ADP
ejpam-5922	165	3	this	this	DET
ejpam-5922	165	4	article	article	NOUN
ejpam-5922	165	5	,	,	PUNCT
ejpam-5922	165	6	we	we	PRON
ejpam-5922	165	7	have	have	AUX
ejpam-5922	165	8	suggested	suggest	VERB
ejpam-5922	165	9	an	an	DET
ejpam-5922	165	10	improved	improved	ADJ
ejpam-5922	165	11	generalized	generalized	ADJ
ejpam-5922	165	12	class	class	NOUN
ejpam-5922	165	13	of	of	ADP
ejpam-5922	165	14	estimator	estimator	NOUN
ejpam-5922	165	15	for	for	ADP
ejpam-5922	165	16	estimation	estimation	NOUN
ejpam-5922	165	17	of	of	ADP
ejpam-5922	165	18	population	population	NOUN
ejpam-5922	165	19	median	median	NOUN
ejpam-5922	165	20	under	under	ADP
ejpam-5922	165	21	simple	simple	ADJ
ejpam-5922	165	22	random	random	ADJ
ejpam-5922	165	23	sampling	sampling	NOUN
ejpam-5922	165	24	.	.	PUNCT
ejpam-5922	166	1	we	we	PRON
ejpam-5922	166	2	examined	examine	VERB
ejpam-5922	166	3	the	the	DET
ejpam-5922	166	4	suggested	suggest	VERB
ejpam-5922	166	5	estimator	estimator	NOUN
ejpam-5922	166	6	’s	’s	PART
ejpam-5922	166	7	bias	bias	NOUN
ejpam-5922	166	8	and	and	CCONJ
ejpam-5922	166	9	mse	mse	NOUN
ejpam-5922	166	10	up	up	ADP
ejpam-5922	166	11	to	to	ADP
ejpam-5922	166	12	the	the	DET
ejpam-5922	166	13	first	first	ADJ
ejpam-5922	166	14	approximation	approximation	NOUN
ejpam-5922	166	15	order	order	NOUN
ejpam-5922	166	16	.	.	PUNCT
ejpam-5922	167	1	on	on	ADP
ejpam-5922	167	2	four	four	NUM
ejpam-5922	167	3	distinct	distinct	ADJ
ejpam-5922	167	4	datasets	dataset	NOUN
ejpam-5922	167	5	,	,	PUNCT
ejpam-5922	167	6	the	the	DET
ejpam-5922	167	7	suggested	suggest	VERB
ejpam-5922	167	8	generalized	generalized	ADJ
ejpam-5922	167	9	class	class	NOUN
ejpam-5922	167	10	of	of	ADP
ejpam-5922	167	11	estimators	estimator	NOUN
ejpam-5922	167	12	is	be	AUX
ejpam-5922	167	13	contrasted	contrast	VERB
ejpam-5922	167	14	with	with	ADP
ejpam-5922	167	15	existing	exist	VERB
ejpam-5922	167	16	estimators	estimator	NOUN
ejpam-5922	167	17	.	.	PUNCT
ejpam-5922	168	1	table	table	NOUN
ejpam-5922	168	2	1	1	NUM
ejpam-5922	168	3	contains	contain	VERB
ejpam-5922	168	4	the	the	DET
ejpam-5922	168	5	members	member	NOUN
ejpam-5922	168	6	of	of	ADP
ejpam-5922	168	7	the	the	DET
ejpam-5922	168	8	suggested	suggest	VERB
ejpam-5922	168	9	class	class	NOUN
ejpam-5922	168	10	of	of	ADP
ejpam-5922	168	11	estimators	estimator	NOUN
ejpam-5922	168	12	using	use	VERB
ejpam-5922	168	13	different	different	ADJ
ejpam-5922	168	14	choices	choice	NOUN
ejpam-5922	168	15	of	of	ADP
ejpam-5922	168	16	α	α	NOUN
ejpam-5922	168	17	and	and	CCONJ
ejpam-5922	168	18	β	β	NOUN
ejpam-5922	168	19	.	.	PUNCT
ejpam-5922	168	20	tables	table	NOUN
ejpam-5922	168	21	2–9	2–9	NUM
ejpam-5922	168	22	show	show	VERB
ejpam-5922	168	23	the	the	DET
ejpam-5922	168	24	mean	mean	ADJ
ejpam-5922	168	25	squared	square	VERB
ejpam-5922	168	26	error	error	NOUN
ejpam-5922	168	27	(	(	PUNCT
ejpam-5922	168	28	mse	mse	NOUN
ejpam-5922	168	29	)	)	PUNCT
ejpam-5922	168	30	and	and	CCONJ
ejpam-5922	168	31	the	the	DET
ejpam-5922	168	32	pre	pre	NOUN
ejpam-5922	168	33	for	for	ADP
ejpam-5922	168	34	the	the	DET
ejpam-5922	168	35	existing	exist	VERB
ejpam-5922	168	36	and	and	CCONJ
ejpam-5922	168	37	the	the	DET
ejpam-5922	168	38	suggested	suggest	VERB
ejpam-5922	168	39	class	class	NOUN
ejpam-5922	168	40	of	of	ADP
ejpam-5922	168	41	estimators	estimator	NOUN
ejpam-5922	168	42	for	for	ADP
ejpam-5922	168	43	four	four	NUM
ejpam-5922	168	44	real	real	ADJ
ejpam-5922	168	45	data	datum	NOUN
ejpam-5922	168	46	sets	set	NOUN
ejpam-5922	168	47	,	,	PUNCT
ejpam-5922	168	48	respectively	respectively	ADV
ejpam-5922	168	49	.	.	PUNCT
ejpam-5922	169	1	the	the	DET
ejpam-5922	169	2	mses	ms	NOUN
ejpam-5922	169	3	of	of	ADP
ejpam-5922	169	4	various	various	ADJ
ejpam-5922	169	5	suggested	suggest	VERB
ejpam-5922	169	6	and	and	CCONJ
ejpam-5922	169	7	competing	compete	VERB
ejpam-5922	169	8	estimators	estimator	NOUN
ejpam-5922	169	9	for	for	ADP
ejpam-5922	169	10	real	real	ADJ
ejpam-5922	169	11	data	datum	NOUN
ejpam-5922	169	12	sets	set	VERB
ejpam-5922	169	13	i	i	PRON
ejpam-5922	169	14	and	and	CCONJ
ejpam-5922	169	15	iv	iv	NUM
ejpam-5922	169	16	are	be	AUX
ejpam-5922	169	17	depicted	depict	VERB
ejpam-5922	169	18	graphically	graphically	ADV
ejpam-5922	169	19	in	in	ADP
ejpam-5922	169	20	figures	figure	NOUN
ejpam-5922	169	21	1	1	NUM
ejpam-5922	169	22	,	,	PUNCT
ejpam-5922	169	23	3	3	NUM
ejpam-5922	169	24	,	,	PUNCT
ejpam-5922	169	25	5	5	NUM
ejpam-5922	169	26	,	,	PUNCT
ejpam-5922	169	27	and	and	CCONJ
ejpam-5922	169	28	7	7	X
ejpam-5922	169	29	.	.	X
ejpam-5922	170	1	the	the	DET
ejpam-5922	170	2	data	data	NOUN
ejpam-5922	170	3	sets	set	VERB
ejpam-5922	170	4	i	i	PRON
ejpam-5922	170	5	to	to	ADP
ejpam-5922	170	6	iv	iv	NUM
ejpam-5922	170	7	are	be	AUX
ejpam-5922	170	8	shown	show	VERB
ejpam-5922	170	9	graphically	graphically	ADV
ejpam-5922	170	10	in	in	ADP
ejpam-5922	170	11	figures	figure	NOUN
ejpam-5922	170	12	2	2	NUM
ejpam-5922	170	13	,	,	PUNCT
ejpam-5922	170	14	4	4	NUM
ejpam-5922	170	15	,	,	PUNCT
ejpam-5922	170	16	6	6	NUM
ejpam-5922	170	17	,	,	PUNCT
ejpam-5922	170	18	and	and	CCONJ
ejpam-5922	170	19	8	8	NUM
ejpam-5922	170	20	,	,	PUNCT
ejpam-5922	170	21	which	which	PRON
ejpam-5922	170	22	show	show	VERB
ejpam-5922	170	23	the	the	DET
ejpam-5922	170	24	pres	pre	NOUN
ejpam-5922	170	25	of	of	ADP
ejpam-5922	170	26	several	several	ADJ
ejpam-5922	170	27	suggested	suggest	VERB
ejpam-5922	170	28	and	and	CCONJ
ejpam-5922	170	29	competing	compete	VERB
ejpam-5922	170	30	estimators	estimator	NOUN
ejpam-5922	170	31	.	.	PUNCT
ejpam-5922	171	1	when	when	SCONJ
ejpam-5922	171	2	compared	compare	VERB
ejpam-5922	171	3	to	to	ADP
ejpam-5922	171	4	other	other	ADJ
ejpam-5922	171	5	estimators	estimator	NOUN
ejpam-5922	171	6	,	,	PUNCT
ejpam-5922	171	7	the	the	DET
ejpam-5922	171	8	proposed	propose	VERB
ejpam-5922	171	9	one	one	NOUN
ejpam-5922	171	10	has	have	VERB
ejpam-5922	171	11	the	the	DET
ejpam-5922	171	12	best	good	ADJ
ejpam-5922	171	13	practical	practical	ADJ
ejpam-5922	171	14	efficiency	efficiency	NOUN
ejpam-5922	171	15	based	base	VERB
ejpam-5922	171	16	on	on	ADP
ejpam-5922	171	17	the	the	DET
ejpam-5922	171	18	results	result	NOUN
ejpam-5922	171	19	of	of	ADP
ejpam-5922	171	20	real	real	ADJ
ejpam-5922	171	21	data	datum	NOUN
ejpam-5922	171	22	sets	set	NOUN
ejpam-5922	171	23	,	,	PUNCT
ejpam-5922	171	24	with	with	ADP
ejpam-5922	171	25	the	the	DET
ejpam-5922	171	26	lowest	low	ADJ
ejpam-5922	171	27	mse	mse	NOUN
ejpam-5922	171	28	and	and	CCONJ
ejpam-5922	171	29	maximum	maximum	ADJ
ejpam-5922	171	30	pre	pre	NOUN
ejpam-5922	171	31	.	.	PUNCT
ejpam-5922	171	32	using	use	VERB
ejpam-5922	171	33	auxiliary	auxiliary	ADJ
ejpam-5922	171	34	information	information	NOUN
ejpam-5922	171	35	for	for	ADP
ejpam-5922	171	36	population	population	NOUN
ejpam-5922	171	37	mean	mean	VERB
ejpam-5922	171	38	,	,	PUNCT
ejpam-5922	171	39	distribution	distribution	NOUN
ejpam-5922	171	40	function	function	NOUN
ejpam-5922	171	41	and	and	CCONJ
ejpam-5922	171	42	population	population	NOUN
ejpam-5922	171	43	proportion	proportion	NOUN
ejpam-5922	171	44	are	be	AUX
ejpam-5922	171	45	discussed	discuss	VERB
ejpam-5922	171	46	in	in	ADP
ejpam-5922	171	47	detail	detail	NOUN
ejpam-5922	171	48	by	by	ADP
ejpam-5922	171	49	[	[	PUNCT
ejpam-5922	171	50	21	21	NUM
ejpam-5922	171	51	-	-	SYM
ejpam-5922	171	52	24	24	NUM
ejpam-5922	171	53	]	]	PUNCT
ejpam-5922	171	54	.	.	PUNCT
ejpam-5922	172	1	this	this	DET
ejpam-5922	172	2	work	work	NOUN
ejpam-5922	172	3	can	can	AUX
ejpam-5922	172	4	be	be	AUX
ejpam-5922	172	5	easily	easily	ADV
ejpam-5922	172	6	extended	extend	VERB
ejpam-5922	172	7	to	to	PART
ejpam-5922	172	8	estimate	estimate	VERB
ejpam-5922	172	9	population	population	NOUN
ejpam-5922	172	10	median	median	NOUN
ejpam-5922	172	11	under	under	ADP
ejpam-5922	172	12	systematic	systematic	ADJ
ejpam-5922	172	13	random	random	ADJ
ejpam-5922	172	14	sampling	sampling	NOUN
ejpam-5922	172	15	.	.	PUNCT
ejpam-5922	173	1	further	further	ADJ
ejpam-5922	173	2	extension	extension	NOUN
ejpam-5922	173	3	of	of	ADP
ejpam-5922	173	4	the	the	DET
ejpam-5922	173	5	current	current	ADJ
ejpam-5922	173	6	work	work	NOUN
ejpam-5922	173	7	is	be	AUX
ejpam-5922	173	8	to	to	PART
ejpam-5922	173	9	develop	develop	VERB
ejpam-5922	173	10	improved	improved	ADJ
ejpam-5922	173	11	estimators	estimator	NOUN
ejpam-5922	173	12	for	for	ADP
ejpam-5922	173	13	estimation	estimation	NOUN
ejpam-5922	173	14	of	of	ADP
ejpam-5922	173	15	median	median	NOUN
ejpam-5922	173	16	using	use	VERB
ejpam-5922	173	17	neutrosophic	neutrosophic	ADJ
ejpam-5922	173	18	data	datum	NOUN
ejpam-5922	173	19	.	.	PUNCT
ejpam-5922	174	1	this	this	DET
ejpam-5922	174	2	work	work	NOUN
ejpam-5922	174	3	contributes	contribute	VERB
ejpam-5922	174	4	its	its	PRON
ejpam-5922	174	5	main	main	ADJ
ejpam-5922	174	6	innovation	innovation	NOUN
ejpam-5922	174	7	through	through	ADP
ejpam-5922	174	8	the	the	DET
ejpam-5922	174	9	creation	creation	NOUN
ejpam-5922	174	10	of	of	ADP
ejpam-5922	174	11	a	a	DET
ejpam-5922	174	12	generalized	generalized	ADJ
ejpam-5922	174	13	class	class	NOUN
ejpam-5922	174	14	of	of	ADP
ejpam-5922	174	15	estimators	estimator	NOUN
ejpam-5922	174	16	for	for	ADP
ejpam-5922	174	17	median	median	ADJ
ejpam-5922	174	18	estimation	estimation	NOUN
ejpam-5922	174	19	which	which	PRON
ejpam-5922	174	20	used	use	VERB
ejpam-5922	174	21	auxiliary	auxiliary	ADJ
ejpam-5922	174	22	information	information	NOUN
ejpam-5922	174	23	effectively	effectively	ADV
ejpam-5922	174	24	.	.	PUNCT
ejpam-5922	175	1	this	this	DET
ejpam-5922	175	2	estimation	estimation	NOUN
ejpam-5922	175	3	method	method	NOUN
ejpam-5922	175	4	differs	differ	VERB
ejpam-5922	175	5	from	from	ADP
ejpam-5922	175	6	standard	standard	ADJ
ejpam-5922	175	7	median	median	ADJ
ejpam-5922	175	8	methods	method	NOUN
ejpam-5922	175	9	because	because	SCONJ
ejpam-5922	175	10	it	it	PRON
ejpam-5922	175	11	uses	use	VERB
ejpam-5922	175	12	observed	observed	ADJ
ejpam-5922	175	13	data	datum	NOUN
ejpam-5922	175	14	and	and	CCONJ
ejpam-5922	175	15	external	external	ADJ
ejpam-5922	175	16	information	information	NOUN
ejpam-5922	175	17	sources	source	NOUN
ejpam-5922	175	18	while	while	SCONJ
ejpam-5922	175	19	related	related	ADJ
ejpam-5922	175	20	variables	variable	NOUN
ejpam-5922	175	21	contribute	contribute	VERB
ejpam-5922	175	22	to	to	ADP
ejpam-5922	175	23	enhanced	enhance	VERB
ejpam-5922	175	24	estimation	estimation	NOUN
ejpam-5922	175	25	precision	precision	NOUN
ejpam-5922	175	26	.	.	PUNCT
ejpam-5922	176	1	this	this	DET
ejpam-5922	176	2	work	work	NOUN
ejpam-5922	176	3	presents	present	VERB
ejpam-5922	176	4	an	an	DET
ejpam-5922	176	5	adaptable	adaptable	ADJ
ejpam-5922	176	6	framework	framework	NOUN
ejpam-5922	176	7	that	that	PRON
ejpam-5922	176	8	uses	use	VERB
ejpam-5922	176	9	auxiliary	auxiliary	ADJ
ejpam-5922	176	10	data	datum	NOUN
ejpam-5922	176	11	to	to	PART
ejpam-5922	176	12	deliver	deliver	VERB
ejpam-5922	176	13	improved	improved	ADJ
ejpam-5922	176	14	median	median	ADJ
ejpam-5922	176	15	estimations	estimation	NOUN
ejpam-5922	176	16	throughout	throughout	ADP
ejpam-5922	176	17	diverse	diverse	ADJ
ejpam-5922	176	18	complex	complex	ADJ
ejpam-5922	176	19	situations	situation	NOUN
ejpam-5922	176	20	when	when	SCONJ
ejpam-5922	176	21	observed	observed	ADJ
ejpam-5922	176	22	data	data	NOUN
ejpam-5922	176	23	exists	exist	VERB
ejpam-5922	176	24	with	with	ADP
ejpam-5922	176	25	defects	defect	NOUN
ejpam-5922	176	26	or	or	CCONJ
ejpam-5922	176	27	incompleteness	incompleteness	NOUN
ejpam-5922	176	28	.	.	PUNCT
ejpam-5922	177	1	the	the	DET
ejpam-5922	177	2	paper	paper	NOUN
ejpam-5922	177	3	thoroughly	thoroughly	ADV
ejpam-5922	177	4	examines	examine	VERB
ejpam-5922	177	5	the	the	DET
ejpam-5922	177	6	statistical	statistical	ADJ
ejpam-5922	177	7	properties	property	NOUN
ejpam-5922	177	8	of	of	ADP
ejpam-5922	177	9	these	these	DET
ejpam-5922	177	10	new	new	ADJ
ejpam-5922	177	11	estimators	estimator	NOUN
ejpam-5922	177	12	including	include	VERB
ejpam-5922	177	13	unbiasedness	unbiasedness	NOUN
ejpam-5922	177	14	,	,	PUNCT
ejpam-5922	177	15	consistency	consistency	NOUN
ejpam-5922	177	16	along	along	ADP
ejpam-5922	177	17	with	with	ADP
ejpam-5922	177	18	efficiency	efficiency	NOUN
ejpam-5922	177	19	in	in	ADP
ejpam-5922	177	20	order	order	NOUN
ejpam-5922	177	21	to	to	PART
ejpam-5922	177	22	prove	prove	VERB
ejpam-5922	177	23	their	their	PRON
ejpam-5922	177	24	theoretical	theoretical	ADJ
ejpam-5922	177	25	validity	validity	NOUN
ejpam-5922	177	26	.	.	PUNCT
ejpam-5922	178	1	these	these	DET
ejpam-5922	178	2	estimators	estimator	NOUN
ejpam-5922	178	3	find	find	VERB
ejpam-5922	178	4	practical	practical	ADJ
ejpam-5922	178	5	applications	application	NOUN
ejpam-5922	178	6	across	across	ADP
ejpam-5922	178	7	economics	economic	NOUN
ejpam-5922	178	8	together	together	ADV
ejpam-5922	178	9	with	with	ADP
ejpam-5922	178	10	healthcare	healthcare	NOUN
ejpam-5922	178	11	and	and	CCONJ
ejpam-5922	178	12	social	social	ADJ
ejpam-5922	178	13	sciences	science	NOUN
ejpam-5922	178	14	to	to	PART
ejpam-5922	178	15	support	support	VERB
ejpam-5922	178	16	crucial	crucial	ADJ
ejpam-5922	178	17	decision	decision	NOUN
ejpam-5922	178	18	-	-	PUNCT
ejpam-5922	178	19	making	make	VERB
ejpam-5922	178	20	processes	process	NOUN
ejpam-5922	178	21	whenever	whenever	SCONJ
ejpam-5922	178	22	accurate	accurate	ADJ
ejpam-5922	178	23	median	median	ADJ
ejpam-5922	178	24	estimation	estimation	NOUN
ejpam-5922	178	25	becomes	become	VERB
ejpam-5922	178	26	essential	essential	ADJ
ejpam-5922	178	27	.	.	PUNCT
ejpam-5922	179	1	these	these	DET
ejpam-5922	179	2	findings	finding	NOUN
ejpam-5922	179	3	establish	establish	VERB
ejpam-5922	179	4	better	well	ADJ
ejpam-5922	179	5	statistical	statistical	ADJ
ejpam-5922	179	6	inference	inference	NOUN
ejpam-5922	179	7	approaches	approach	NOUN
ejpam-5922	179	8	that	that	PRON
ejpam-5922	179	9	demonstrate	demonstrate	VERB
ejpam-5922	179	10	substantial	substantial	ADJ
ejpam-5922	179	11	progress	progress	NOUN
ejpam-5922	179	12	in	in	ADP
ejpam-5922	179	13	robust	robust	ADJ
ejpam-5922	179	14	estimation	estimation	NOUN
ejpam-5922	179	15	research	research	NOUN
ejpam-5922	179	16	.	.	PUNCT
ejpam-5922	180	1	competing	compete	VERB
ejpam-5922	180	2	interests	interest	NOUN
ejpam-5922	180	3	the	the	DET
ejpam-5922	180	4	authors	author	NOUN
ejpam-5922	180	5	declare	declare	VERB
ejpam-5922	180	6	no	no	DET
ejpam-5922	180	7	competing	compete	VERB
ejpam-5922	180	8	interests	interest	NOUN
ejpam-5922	180	9	.	.	PUNCT
ejpam-5922	181	1	references	reference	NOUN
ejpam-5922	181	2	[	[	X
ejpam-5922	181	3	1	1	NUM
ejpam-5922	181	4	]	]	X
ejpam-5922	181	5	aamir	aamir	PROPN
ejpam-5922	181	6	,	,	PUNCT
ejpam-5922	181	7	m.	m.	NOUN
ejpam-5922	181	8	,	,	PUNCT
ejpam-5922	181	9	shabri	shabri	NOUN
ejpam-5922	181	10	,	,	PUNCT
ejpam-5922	181	11	a.	a.	NOUN
ejpam-5922	181	12	,	,	PUNCT
ejpam-5922	181	13	&	&	CCONJ
ejpam-5922	181	14	ishaq	ishaq	PROPN
ejpam-5922	181	15	,	,	PUNCT
ejpam-5922	181	16	m.	m.	NOUN
ejpam-5922	181	17	(	(	PUNCT
ejpam-5922	181	18	2018	2018	NUM
ejpam-5922	181	19	)	)	PUNCT
ejpam-5922	181	20	.	.	PUNCT
ejpam-5922	182	1	improving	improve	VERB
ejpam-5922	182	2	forecasting	forecasting	NOUN
ejpam-5922	182	3	accuracy	accuracy	NOUN
ejpam-5922	182	4	of	of	ADP
ejpam-5922	182	5	crude	crude	ADJ
ejpam-5922	182	6	oil	oil	NOUN
ejpam-5922	182	7	prices	price	NOUN
ejpam-5922	182	8	using	use	VERB
ejpam-5922	182	9	decomposition	decomposition	NOUN
ejpam-5922	182	10	ensemble	ensemble	ADJ
ejpam-5922	182	11	model	model	NOUN
ejpam-5922	182	12	with	with	ADP
ejpam-5922	182	13	reconstruction	reconstruction	NOUN
ejpam-5922	182	14	of	of	ADP
ejpam-5922	182	15	imfs	imfs	NOUN
ejpam-5922	182	16	based	base	VERB
ejpam-5922	182	17	on	on	ADP
ejpam-5922	182	18	arima	arima	PROPN
ejpam-5922	182	19	model	model	NOUN
ejpam-5922	182	20	.	.	PUNCT
ejpam-5922	183	1	malaysian	malaysian	ADJ
ejpam-5922	183	2	journal	journal	PROPN
ejpam-5922	183	3	of	of	ADP
ejpam-5922	183	4	fundamental	fundamental	ADJ
ejpam-5922	183	5	and	and	CCONJ
ejpam-5922	183	6	applied	applied	ADJ
ejpam-5922	183	7	sciences	science	NOUN
ejpam-5922	183	8	,	,	PUNCT
ejpam-5922	183	9	14	14	NUM
ejpam-5922	183	10	,	,	PUNCT
ejpam-5922	183	11	471	471	NUM
ejpam-5922	183	12	-	-	SYM
ejpam-5922	183	13	483	483	NUM
ejpam-5922	183	14	.	.	PUNCT
ejpam-5922	184	1	[	[	X
ejpam-5922	184	2	2	2	NUM
ejpam-5922	184	3	]	]	PUNCT
ejpam-5922	184	4	aczel	aczel	NOUN
ejpam-5922	184	5	,	,	PUNCT
ejpam-5922	184	6	a.	a.	PROPN
ejpam-5922	184	7	d.	d.	PROPN
ejpam-5922	184	8	(	(	PUNCT
ejpam-5922	184	9	1996	1996	NUM
ejpam-5922	184	10	)	)	PUNCT
ejpam-5922	184	11	.	.	PUNCT
ejpam-5922	185	1	complete	complete	ADJ
ejpam-5922	185	2	business	business	NOUN
ejpam-5922	185	3	statistics	statistic	NOUN
ejpam-5922	185	4	.	.	PUNCT
ejpam-5922	186	1	irwin	irwin	PROPN
ejpam-5922	186	2	professional	professional	ADJ
ejpam-5922	186	3	publishing	publishing	NOUN
ejpam-5922	186	4	.	.	PUNCT
ejpam-5922	187	1	[	[	X
ejpam-5922	187	2	3	3	X
ejpam-5922	187	3	]	]	X
ejpam-5922	187	4	aladag	aladag	PROPN
ejpam-5922	187	5	,	,	PUNCT
ejpam-5922	187	6	s.	s.	PROPN
ejpam-5922	187	7	,	,	PUNCT
ejpam-5922	187	8	&	&	CCONJ
ejpam-5922	187	9	cingi	cingi	PROPN
ejpam-5922	187	10	,	,	PUNCT
ejpam-5922	187	11	h.	h.	PROPN
ejpam-5922	187	12	(	(	PUNCT
ejpam-5922	187	13	2015	2015	NUM
ejpam-5922	187	14	)	)	PUNCT
ejpam-5922	187	15	.	.	PUNCT
ejpam-5922	188	1	improvement	improvement	NOUN
ejpam-5922	188	2	in	in	ADP
ejpam-5922	188	3	estimating	estimate	VERB
ejpam-5922	188	4	the	the	DET
ejpam-5922	188	5	population	population	NOUN
ejpam-5922	188	6	median	median	NOUN
ejpam-5922	188	7	in	in	ADP
ejpam-5922	188	8	simple	simple	ADJ
ejpam-5922	188	9	random	random	ADJ
ejpam-5922	188	10	sampling	sampling	NOUN
ejpam-5922	188	11	and	and	CCONJ
ejpam-5922	188	12	stratified	stratify	VERB
ejpam-5922	188	13	random	random	ADJ
ejpam-5922	188	14	sampling	sampling	NOUN
ejpam-5922	188	15	using	use	VERB
ejpam-5922	188	16	auxiliary	auxiliary	ADJ
ejpam-5922	188	17	information	information	NOUN
ejpam-5922	188	18	.	.	PUNCT
ejpam-5922	189	1	communications	communication	NOUN
ejpam-5922	189	2	in	in	ADP
ejpam-5922	189	3	statistics	statistic	NOUN
ejpam-5922	189	4	-	-	PUNCT
ejpam-5922	189	5	theory	theory	NOUN
ejpam-5922	189	6	and	and	CCONJ
ejpam-5922	189	7	methods	method	NOUN
ejpam-5922	189	8	,	,	PUNCT
ejpam-5922	189	9	44	44	NUM
ejpam-5922	189	10	,	,	PUNCT
ejpam-5922	189	11	1013	1013	NUM
ejpam-5922	189	12	-	-	SYM
ejpam-5922	189	13	1032	1032	NUM
ejpam-5922	189	14	.	.	PUNCT
ejpam-5922	190	1	[	[	X
ejpam-5922	190	2	4	4	NUM
ejpam-5922	190	3	]	]	SYM
ejpam-5922	190	4	bedi	bedi	PROPN
ejpam-5922	190	5	,	,	PUNCT
ejpam-5922	190	6	p.	p.	PROPN
ejpam-5922	190	7	k.	k.	PROPN
ejpam-5922	190	8	(	(	PUNCT
ejpam-5922	190	9	1996	1996	NUM
ejpam-5922	190	10	)	)	PUNCT
ejpam-5922	190	11	.	.	PUNCT
ejpam-5922	191	1	efficient	efficient	ADJ
ejpam-5922	191	2	utilization	utilization	NOUN
ejpam-5922	191	3	of	of	ADP
ejpam-5922	191	4	auxiliary	auxiliary	ADJ
ejpam-5922	191	5	information	information	NOUN
ejpam-5922	191	6	at	at	ADP
ejpam-5922	191	7	estimation	estimation	NOUN
ejpam-5922	191	8	stage	stage	NOUN
ejpam-5922	191	9	.	.	PUNCT
ejpam-5922	192	1	biometrical	biometrical	ADJ
ejpam-5922	192	2	journal	journal	NOUN
ejpam-5922	192	3	,	,	PUNCT
ejpam-5922	192	4	38	38	NUM
ejpam-5922	192	5	,	,	PUNCT
ejpam-5922	192	6	973	973	NUM
ejpam-5922	192	7	-	-	SYM
ejpam-5922	192	8	976	976	NUM
ejpam-5922	192	9	.	.	PUNCT
ejpam-5922	193	1	[	[	X
ejpam-5922	193	2	5	5	NUM
ejpam-5922	193	3	]	]	X
ejpam-5922	193	4	baig	baig	PROPN
ejpam-5922	193	5	,	,	PUNCT
ejpam-5922	193	6	a.	a.	PROPN
ejpam-5922	193	7	,	,	PUNCT
ejpam-5922	193	8	masood	masood	PROPN
ejpam-5922	193	9	,	,	PUNCT
ejpam-5922	193	10	s.	s.	PROPN
ejpam-5922	193	11	,	,	PUNCT
ejpam-5922	193	12	&	&	CCONJ
ejpam-5922	193	13	ahmed	ahmed	PROPN
ejpam-5922	193	14	tarray	tarray	PROPN
ejpam-5922	193	15	,	,	PUNCT
ejpam-5922	193	16	t.	t.	PROPN
ejpam-5922	193	17	(	(	PUNCT
ejpam-5922	193	18	2020	2020	NUM
ejpam-5922	193	19	)	)	PUNCT
ejpam-5922	193	20	.	.	PUNCT
ejpam-5922	194	1	improved	improved	ADJ
ejpam-5922	194	2	class	class	NOUN
ejpam-5922	194	3	of	of	ADP
ejpam-5922	194	4	difference	difference	NOUN
ejpam-5922	194	5	-	-	PUNCT
ejpam-5922	194	6	type	type	NOUN
ejpam-5922	194	7	estimators	estimator	NOUN
ejpam-5922	194	8	for	for	ADP
ejpam-5922	194	9	population	population	NOUN
ejpam-5922	194	10	median	median	NOUN
ejpam-5922	194	11	in	in	ADP
ejpam-5922	194	12	survey	survey	NOUN
ejpam-5922	194	13	sampling	sample	VERB
ejpam-5922	194	14	.	.	PUNCT
ejpam-5922	195	1	communications	communication	NOUN
ejpam-5922	195	2	in	in	ADP
ejpam-5922	195	3	statistics	statistic	NOUN
ejpam-5922	195	4	-	-	PUNCT
ejpam-5922	195	5	theory	theory	NOUN
ejpam-5922	195	6	and	and	CCONJ
ejpam-5922	195	7	methods	method	NOUN
ejpam-5922	195	8	,	,	PUNCT
ejpam-5922	195	9	49	49	NUM
ejpam-5922	195	10	,	,	PUNCT
ejpam-5922	195	11	5778	5778	NUM
ejpam-5922	195	12	-	-	SYM
ejpam-5922	195	13	5793	5793	NUM
ejpam-5922	195	14	.	.	PUNCT
ejpam-5922	196	1	s.	s.	PROPN
ejpam-5922	196	2	ahmad	ahmad	PROPN
ejpam-5922	196	3	et	et	PROPN
ejpam-5922	196	4	al	al	PROPN
ejpam-5922	196	5	.	.	PUNCT
ejpam-5922	196	6	/	/	SYM
ejpam-5922	196	7	eur	eur	PROPN
ejpam-5922	196	8	.	.	PUNCT
ejpam-5922	197	1	j.	j.	PROPN
ejpam-5922	197	2	pure	pure	PROPN
ejpam-5922	197	3	appl	appl	PROPN
ejpam-5922	197	4	.	.	PROPN
ejpam-5922	197	5	math	math	PROPN
ejpam-5922	197	6	,	,	PUNCT
ejpam-5922	197	7	18	18	NUM
ejpam-5922	197	8	(	(	PUNCT
ejpam-5922	197	9	2	2	NUM
ejpam-5922	197	10	)	)	PUNCT
ejpam-5922	197	11	(	(	PUNCT
ejpam-5922	197	12	2025	2025	NUM
ejpam-5922	197	13	)	)	PUNCT
ejpam-5922	197	14	,	,	PUNCT
ejpam-5922	197	15	5922	5922	NUM
ejpam-5922	197	16	17	17	NUM
ejpam-5922	197	17	of	of	ADP
ejpam-5922	197	18	17	17	NUM
ejpam-5922	197	19	[	[	SYM
ejpam-5922	197	20	6	6	NUM
ejpam-5922	197	21	]	]	PUNCT
ejpam-5922	197	22	bandyopadhyay	bandyopadhyay	NOUN
ejpam-5922	197	23	,	,	PUNCT
ejpam-5922	197	24	a.	a.	NOUN
ejpam-5922	197	25	,	,	PUNCT
ejpam-5922	197	26	singh	singh	PROPN
ejpam-5922	197	27	,	,	PUNCT
ejpam-5922	197	28	g.	g.	PROPN
ejpam-5922	197	29	n.	n.	PROPN
ejpam-5922	197	30	,	,	PUNCT
ejpam-5922	197	31	&	&	CCONJ
ejpam-5922	197	32	das	das	PROPN
ejpam-5922	197	33	,	,	PUNCT
ejpam-5922	197	34	p.	p.	NOUN
ejpam-5922	197	35	(	(	PUNCT
ejpam-5922	197	36	2016	2016	NUM
ejpam-5922	197	37	)	)	PUNCT
ejpam-5922	197	38	.	.	PUNCT
ejpam-5922	198	1	estimation	estimation	NOUN
ejpam-5922	198	2	of	of	ADP
ejpam-5922	198	3	population	population	NOUN
ejpam-5922	198	4	median	median	NOUN
ejpam-5922	198	5	in	in	ADP
ejpam-5922	198	6	presence	presence	NOUN
ejpam-5922	198	7	of	of	ADP
ejpam-5922	198	8	non	non	NOUN
ejpam-5922	198	9	-	-	NOUN
ejpam-5922	198	10	response	response	NOUN
ejpam-5922	198	11	under	under	ADP
ejpam-5922	198	12	two	two	NUM
ejpam-5922	198	13	-	-	PUNCT
ejpam-5922	198	14	phase	phase	NOUN
ejpam-5922	198	15	sampling	sampling	NOUN
ejpam-5922	198	16	.	.	PUNCT
ejpam-5922	199	1	sri	sri	PROPN
ejpam-5922	199	2	lankan	lankan	PROPN
ejpam-5922	199	3	journal	journal	PROPN
ejpam-5922	199	4	of	of	ADP
ejpam-5922	199	5	applied	apply	VERB
ejpam-5922	199	6	statistics	statistic	NOUN
ejpam-5922	199	7	,	,	PUNCT
ejpam-5922	199	8	17	17	NUM
ejpam-5922	199	9	.	.	PUNCT
ejpam-5922	200	1	[	[	X
ejpam-5922	200	2	7	7	NUM
ejpam-5922	200	3	]	]	X
ejpam-5922	200	4	enang	enang	PROPN
ejpam-5922	200	5	,	,	PUNCT
ejpam-5922	200	6	e.	e.	PROPN
ejpam-5922	200	7	i.	i.	PROPN
ejpam-5922	200	8	,	,	PUNCT
ejpam-5922	200	9	etuk	etuk	PROPN
ejpam-5922	200	10	,	,	PUNCT
ejpam-5922	200	11	s.	s.	PROPN
ejpam-5922	200	12	i.	i.	PROPN
ejpam-5922	200	13	,	,	PUNCT
ejpam-5922	200	14	ekpenyong	ekpenyong	PROPN
ejpam-5922	200	15	,	,	PUNCT
ejpam-5922	200	16	e.	e.	PROPN
ejpam-5922	200	17	j.	j.	PROPN
ejpam-5922	200	18	,	,	PUNCT
ejpam-5922	200	19	&	&	CCONJ
ejpam-5922	200	20	akpan	akpan	PROPN
ejpam-5922	200	21	,	,	PUNCT
ejpam-5922	200	22	v.	v.	ADP
ejpam-5922	200	23	m.	m.	NOUN
ejpam-5922	200	24	(	(	PUNCT
ejpam-5922	200	25	2016	2016	NUM
ejpam-5922	200	26	)	)	PUNCT
ejpam-5922	200	27	.	.	PUNCT
ejpam-5922	201	1	an	an	DET
ejpam-5922	201	2	alternative	alternative	ADJ
ejpam-5922	201	3	exponential	exponential	ADJ
ejpam-5922	201	4	estimator	estimator	NOUN
ejpam-5922	201	5	of	of	ADP
ejpam-5922	201	6	population	population	NOUN
ejpam-5922	201	7	median	median	PROPN
ejpam-5922	201	8	.	.	PUNCT
ejpam-5922	202	1	international	international	ADJ
ejpam-5922	202	2	journal	journal	PROPN
ejpam-5922	202	3	of	of	ADP
ejpam-5922	202	4	statistics	statistic	NOUN
ejpam-5922	202	5	and	and	CCONJ
ejpam-5922	202	6	economics	economic	NOUN
ejpam-5922	202	7	,	,	PUNCT
ejpam-5922	202	8	17	17	NUM
ejpam-5922	202	9	,	,	PUNCT
ejpam-5922	202	10	85	85	NUM
ejpam-5922	202	11	-	-	SYM
ejpam-5922	202	12	97	97	NUM
ejpam-5922	202	13	.	.	PUNCT
ejpam-5922	203	1	[	[	X
ejpam-5922	203	2	8	8	NUM
ejpam-5922	203	3	]	]	X
ejpam-5922	203	4	gupta	gupta	PROPN
ejpam-5922	203	5	,	,	PUNCT
ejpam-5922	203	6	s.	s.	PROPN
ejpam-5922	203	7	,	,	PUNCT
ejpam-5922	203	8	shabbir	shabbir	PROPN
ejpam-5922	203	9	,	,	PUNCT
ejpam-5922	203	10	j.	j.	PROPN
ejpam-5922	203	11	,	,	PUNCT
ejpam-5922	203	12	&	&	CCONJ
ejpam-5922	203	13	ahmad	ahmad	PROPN
ejpam-5922	203	14	,	,	PUNCT
ejpam-5922	203	15	s.	s.	PROPN
ejpam-5922	203	16	(	(	PUNCT
ejpam-5922	203	17	2008	2008	NUM
ejpam-5922	203	18	)	)	PUNCT
ejpam-5922	203	19	.	.	PUNCT
ejpam-5922	204	1	estimation	estimation	NOUN
ejpam-5922	204	2	of	of	ADP
ejpam-5922	204	3	median	median	NOUN
ejpam-5922	204	4	in	in	ADP
ejpam-5922	204	5	two	two	NUM
ejpam-5922	204	6	-	-	PUNCT
ejpam-5922	204	7	phase	phase	NOUN
ejpam-5922	204	8	sampling	sampling	NOUN
ejpam-5922	204	9	using	use	VERB
ejpam-5922	204	10	two	two	NUM
ejpam-5922	204	11	auxiliary	auxiliary	ADJ
ejpam-5922	204	12	variables	variable	NOUN
ejpam-5922	204	13	.	.	PUNCT
ejpam-5922	205	1	communications	communication	NOUN
ejpam-5922	205	2	in	in	ADP
ejpam-5922	205	3	statistics	statistic	NOUN
ejpam-5922	205	4	-	-	PUNCT
ejpam-5922	205	5	theory	theory	NOUN
ejpam-5922	205	6	and	and	CCONJ
ejpam-5922	205	7	methods	method	NOUN
ejpam-5922	205	8	,	,	PUNCT
ejpam-5922	205	9	37	37	NUM
ejpam-5922	205	10	,	,	PUNCT
ejpam-5922	205	11	18151822	18151822	NUM
ejpam-5922	205	12	.	.	PUNCT
ejpam-5922	206	1	[	[	X
ejpam-5922	206	2	9	9	NUM
ejpam-5922	206	3	]	]	X
ejpam-5922	206	4	gross	gross	ADJ
ejpam-5922	206	5	,	,	PUNCT
ejpam-5922	206	6	s.	s.	PROPN
ejpam-5922	206	7	(	(	PUNCT
ejpam-5922	206	8	1980	1980	NUM
ejpam-5922	206	9	)	)	PUNCT
ejpam-5922	206	10	.	.	PUNCT
ejpam-5922	207	1	median	median	ADJ
ejpam-5922	207	2	estimation	estimation	NOUN
ejpam-5922	207	3	in	in	ADP
ejpam-5922	207	4	sample	sample	NOUN
ejpam-5922	207	5	surveys	survey	NOUN
ejpam-5922	207	6	.	.	PUNCT
ejpam-5922	208	1	in	in	ADP
ejpam-5922	208	2	proceedings	proceeding	NOUN
ejpam-5922	208	3	of	of	ADP
ejpam-5922	208	4	the	the	DET
ejpam-5922	208	5	section	section	NOUN
ejpam-5922	208	6	on	on	ADP
ejpam-5922	208	7	survey	survey	NOUN
ejpam-5922	208	8	research	research	NOUN
ejpam-5922	208	9	methods	method	NOUN
ejpam-5922	208	10	(	(	PUNCT
ejpam-5922	208	11	vol	vol	NOUN
ejpam-5922	208	12	.	.	PROPN
ejpam-5922	208	13	1814184	1814184	NUM
ejpam-5922	208	14	)	)	PUNCT
ejpam-5922	208	15	.	.	PUNCT
ejpam-5922	209	1	alexandria	alexandria	PROPN
ejpam-5922	209	2	,	,	PUNCT
ejpam-5922	209	3	va	va	PROPN
ejpam-5922	209	4	:	:	PUNCT
ejpam-5922	209	5	american	american	ADJ
ejpam-5922	209	6	statistical	statistical	ADJ
ejpam-5922	209	7	association	association	NOUN
ejpam-5922	209	8	.	.	PUNCT
ejpam-5922	210	1	[	[	X
ejpam-5922	210	2	10	10	NUM
ejpam-5922	210	3	]	]	X
ejpam-5922	210	4	jhajj	jhajj	PROPN
ejpam-5922	210	5	,	,	PUNCT
ejpam-5922	210	6	h.	h.	PROPN
ejpam-5922	210	7	s.	s.	PROPN
ejpam-5922	210	8	,	,	PUNCT
ejpam-5922	210	9	kaur	kaur	PROPN
ejpam-5922	210	10	,	,	PUNCT
ejpam-5922	210	11	h.	h.	PROPN
ejpam-5922	210	12	,	,	PUNCT
ejpam-5922	210	13	&	&	CCONJ
ejpam-5922	210	14	walia	walia	PROPN
ejpam-5922	210	15	,	,	PUNCT
ejpam-5922	210	16	g.	g.	PROPN
ejpam-5922	210	17	(	(	PUNCT
ejpam-5922	210	18	2014	2014	NUM
ejpam-5922	210	19	)	)	PUNCT
ejpam-5922	210	20	.	.	PUNCT
ejpam-5922	211	1	efficient	efficient	ADJ
ejpam-5922	211	2	family	family	NOUN
ejpam-5922	211	3	of	of	ADP
ejpam-5922	211	4	ratio	ratio	NOUN
ejpam-5922	211	5	-	-	PUNCT
ejpam-5922	211	6	product	product	NOUN
ejpam-5922	211	7	type	type	NOUN
ejpam-5922	211	8	estimators	estimator	NOUN
ejpam-5922	211	9	of	of	ADP
ejpam-5922	211	10	median	median	PROPN
ejpam-5922	211	11	.	.	PUNCT
ejpam-5922	212	1	model	model	PROPN
ejpam-5922	212	2	assisted	assist	VERB
ejpam-5922	212	3	statistics	statistic	NOUN
ejpam-5922	212	4	and	and	CCONJ
ejpam-5922	212	5	applications	application	NOUN
ejpam-5922	212	6	,	,	PUNCT
ejpam-5922	212	7	9	9	NUM
ejpam-5922	212	8	,	,	PUNCT
ejpam-5922	212	9	277	277	NUM
ejpam-5922	212	10	-	-	SYM
ejpam-5922	212	11	282	282	NUM
ejpam-5922	212	12	.	.	PUNCT
ejpam-5922	213	1	[	[	X
ejpam-5922	213	2	11	11	NUM
ejpam-5922	213	3	]	]	X
ejpam-5922	213	4	irfan	irfan	PROPN
ejpam-5922	213	5	,	,	PUNCT
ejpam-5922	213	6	m.	m.	NOUN
ejpam-5922	213	7	,	,	PUNCT
ejpam-5922	213	8	javed	javed	ADJ
ejpam-5922	213	9	,	,	PUNCT
ejpam-5922	213	10	m.	m.	NOUN
ejpam-5922	213	11	,	,	PUNCT
ejpam-5922	213	12	shongwe	shongwe	PROPN
ejpam-5922	213	13	,	,	PUNCT
ejpam-5922	213	14	s.	s.	PROPN
ejpam-5922	213	15	c.	c.	PROPN
ejpam-5922	213	16	,	,	PUNCT
ejpam-5922	213	17	zohaib	zohaib	PROPN
ejpam-5922	213	18	,	,	PUNCT
ejpam-5922	213	19	m.	m.	NOUN
ejpam-5922	213	20	,	,	PUNCT
ejpam-5922	213	21	&	&	CCONJ
ejpam-5922	213	22	haider	haider	PROPN
ejpam-5922	213	23	bhatti	bhatti	PROPN
ejpam-5922	213	24	,	,	PUNCT
ejpam-5922	213	25	s.	s.	PROPN
ejpam-5922	213	26	(	(	PUNCT
ejpam-5922	213	27	2021	2021	NUM
ejpam-5922	213	28	)	)	PUNCT
ejpam-5922	213	29	.	.	PUNCT
ejpam-5922	214	1	estimation	estimation	NOUN
ejpam-5922	214	2	of	of	ADP
ejpam-5922	214	3	population	population	NOUN
ejpam-5922	214	4	median	median	NOUN
ejpam-5922	214	5	under	under	ADP
ejpam-5922	214	6	robust	robust	ADJ
ejpam-5922	214	7	measures	measure	NOUN
ejpam-5922	214	8	of	of	ADP
ejpam-5922	214	9	an	an	DET
ejpam-5922	214	10	auxiliary	auxiliary	ADJ
ejpam-5922	214	11	variable	variable	NOUN
ejpam-5922	214	12	.	.	PUNCT
ejpam-5922	215	1	mathematical	mathematical	ADJ
ejpam-5922	215	2	problems	problem	NOUN
ejpam-5922	215	3	in	in	ADP
ejpam-5922	215	4	engineering	engineering	NOUN
ejpam-5922	215	5	,	,	PUNCT
ejpam-5922	215	6	2021	2021	NUM
ejpam-5922	215	7	,	,	PUNCT
ejpam-5922	215	8	1	1	NUM
ejpam-5922	215	9	-	-	SYM
ejpam-5922	215	10	14	14	NUM
ejpam-5922	215	11	.	.	PUNCT
ejpam-5922	216	1	[	[	X
ejpam-5922	216	2	12	12	NUM
ejpam-5922	216	3	]	]	X
ejpam-5922	216	4	kuk	kuk	PROPN
ejpam-5922	216	5	,	,	PUNCT
ejpam-5922	216	6	a.	a.	NOUN
ejpam-5922	216	7	y.	y.	PROPN
ejpam-5922	216	8	,	,	PUNCT
ejpam-5922	216	9	&	&	CCONJ
ejpam-5922	216	10	mak	mak	PROPN
ejpam-5922	216	11	,	,	PUNCT
ejpam-5922	216	12	t.	t.	PROPN
ejpam-5922	216	13	k.	k.	PROPN
ejpam-5922	216	14	(	(	PUNCT
ejpam-5922	216	15	1989	1989	NUM
ejpam-5922	216	16	)	)	PUNCT
ejpam-5922	216	17	.	.	PUNCT
ejpam-5922	217	1	median	median	ADJ
ejpam-5922	217	2	estimation	estimation	NOUN
ejpam-5922	217	3	in	in	ADP
ejpam-5922	217	4	the	the	DET
ejpam-5922	217	5	presence	presence	NOUN
ejpam-5922	217	6	of	of	ADP
ejpam-5922	217	7	auxiliary	auxiliary	ADJ
ejpam-5922	217	8	information	information	NOUN
ejpam-5922	217	9	.	.	PUNCT
ejpam-5922	218	1	journal	journal	NOUN
ejpam-5922	218	2	of	of	ADP
ejpam-5922	218	3	the	the	DET
ejpam-5922	218	4	royal	royal	ADJ
ejpam-5922	218	5	statistical	statistical	ADJ
ejpam-5922	218	6	society	society	NOUN
ejpam-5922	218	7	:	:	PUNCT
ejpam-5922	218	8	series	series	PROPN
ejpam-5922	218	9	b	b	PROPN
ejpam-5922	218	10	(	(	PUNCT
ejpam-5922	218	11	methodological	methodological	ADJ
ejpam-5922	218	12	)	)	PUNCT
ejpam-5922	218	13	,	,	PUNCT
ejpam-5922	218	14	51	51	NUM
ejpam-5922	218	15	,	,	PUNCT
ejpam-5922	218	16	261	261	NUM
ejpam-5922	218	17	-	-	SYM
ejpam-5922	218	18	269	269	NUM
ejpam-5922	218	19	.	.	PUNCT
ejpam-5922	219	1	[	[	X
ejpam-5922	219	2	13	13	NUM
ejpam-5922	219	3	]	]	SYM
ejpam-5922	219	4	rao	rao	NOUN
ejpam-5922	219	5	,	,	PUNCT
ejpam-5922	219	6	t.	t.	PROPN
ejpam-5922	219	7	j.	j.	PROPN
ejpam-5922	219	8	(	(	PUNCT
ejpam-5922	219	9	1991	1991	NUM
ejpam-5922	219	10	)	)	PUNCT
ejpam-5922	219	11	.	.	PUNCT
ejpam-5922	220	1	on	on	ADP
ejpam-5922	220	2	certail	certail	NOUN
ejpam-5922	220	3	methods	method	NOUN
ejpam-5922	220	4	of	of	ADP
ejpam-5922	220	5	improving	improve	VERB
ejpam-5922	220	6	ration	ration	NOUN
ejpam-5922	220	7	and	and	CCONJ
ejpam-5922	220	8	regression	regression	NOUN
ejpam-5922	220	9	estimators	estimator	NOUN
ejpam-5922	220	10	.	.	PUNCT
ejpam-5922	221	1	communications	communication	NOUN
ejpam-5922	221	2	in	in	ADP
ejpam-5922	221	3	statistics	statistic	NOUN
ejpam-5922	221	4	-	-	PUNCT
ejpam-5922	221	5	theory	theory	NOUN
ejpam-5922	221	6	and	and	CCONJ
ejpam-5922	221	7	methods	method	NOUN
ejpam-5922	221	8	,	,	PUNCT
ejpam-5922	221	9	20	20	NUM
ejpam-5922	221	10	,	,	PUNCT
ejpam-5922	221	11	3325	3325	NUM
ejpam-5922	221	12	-	-	SYM
ejpam-5922	221	13	3340	3340	NUM
ejpam-5922	221	14	.	.	PUNCT
ejpam-5922	222	1	[	[	X
ejpam-5922	222	2	14	14	NUM
ejpam-5922	222	3	]	]	X
ejpam-5922	222	4	singh	singh	PROPN
ejpam-5922	222	5	,	,	PUNCT
ejpam-5922	222	6	s.	s.	PROPN
ejpam-5922	222	7	(	(	PUNCT
ejpam-5922	222	8	2003	2003	NUM
ejpam-5922	222	9	)	)	PUNCT
ejpam-5922	222	10	.	.	PUNCT
ejpam-5922	223	1	advanced	advanced	ADJ
ejpam-5922	223	2	sampling	sampling	NOUN
ejpam-5922	223	3	theory	theory	NOUN
ejpam-5922	223	4	with	with	ADP
ejpam-5922	223	5	applications	application	NOUN
ejpam-5922	223	6	:	:	PUNCT
ejpam-5922	223	7	how	how	SCONJ
ejpam-5922	223	8	michael	michael	PROPN
ejpam-5922	223	9	”	"	PUNCT
ejpam-5922	223	10	”	"	PUNCT
ejpam-5922	223	11	selected	select	VERB
ejpam-5922	223	12	”	"	PUNCT
ejpam-5922	223	13	”	"	PUNCT
ejpam-5922	223	14	amy	amy	NOUN
ejpam-5922	223	15	(	(	PUNCT
ejpam-5922	223	16	vol	vol	NOUN
ejpam-5922	223	17	.	.	NOUN
ejpam-5922	223	18	2	2	NUM
ejpam-5922	223	19	)	)	PUNCT
ejpam-5922	223	20	.	.	PUNCT
ejpam-5922	224	1	springer	springer	PROPN
ejpam-5922	224	2	science	science	PROPN
ejpam-5922	224	3	&	&	CCONJ
ejpam-5922	224	4	business	business	NOUN
ejpam-5922	224	5	media	medium	NOUN
ejpam-5922	224	6	.	.	PUNCT
ejpam-5922	225	1	[	[	X
ejpam-5922	225	2	15	15	NUM
ejpam-5922	225	3	]	]	X
ejpam-5922	225	4	singh	singh	PROPN
ejpam-5922	225	5	,	,	PUNCT
ejpam-5922	225	6	r.	r.	PROPN
ejpam-5922	225	7	,	,	PUNCT
ejpam-5922	225	8	chauhan	chauhan	PROPN
ejpam-5922	225	9	,	,	PUNCT
ejpam-5922	225	10	p.	p.	PROPN
ejpam-5922	225	11	,	,	PUNCT
ejpam-5922	225	12	sawan	sawan	PROPN
ejpam-5922	225	13	,	,	PUNCT
ejpam-5922	225	14	n.	n.	NOUN
ejpam-5922	225	15	,	,	PUNCT
ejpam-5922	225	16	&	&	CCONJ
ejpam-5922	225	17	smarandache	smarandache	PROPN
ejpam-5922	225	18	,	,	PUNCT
ejpam-5922	225	19	f.	f.	PROPN
ejpam-5922	225	20	(	(	PUNCT
ejpam-5922	225	21	2007	2007	NUM
ejpam-5922	225	22	)	)	PUNCT
ejpam-5922	225	23	.	.	PUNCT
ejpam-5922	226	1	improvement	improvement	NOUN
ejpam-5922	226	2	in	in	ADP
ejpam-5922	226	3	estimating	estimate	VERB
ejpam-5922	226	4	the	the	DET
ejpam-5922	226	5	population	population	NOUN
ejpam-5922	226	6	mean	mean	VERB
ejpam-5922	226	7	using	use	VERB
ejpam-5922	226	8	exponential	exponential	ADJ
ejpam-5922	226	9	estimator	estimator	NOUN
ejpam-5922	226	10	in	in	ADP
ejpam-5922	226	11	simple	simple	ADJ
ejpam-5922	226	12	random	random	ADJ
ejpam-5922	226	13	sampling	sampling	NOUN
ejpam-5922	226	14	.	.	PUNCT
ejpam-5922	227	1	auxiliary	auxiliary	ADJ
ejpam-5922	227	2	information	information	NOUN
ejpam-5922	227	3	and	and	CCONJ
ejpam-5922	227	4	a	a	DET
ejpam-5922	227	5	priori	priori	ADJ
ejpam-5922	227	6	values	value	NOUN
ejpam-5922	227	7	in	in	ADP
ejpam-5922	227	8	construction	construction	NOUN
ejpam-5922	227	9	of	of	ADP
ejpam-5922	227	10	improved	improved	ADJ
ejpam-5922	227	11	estimators	estimator	NOUN
ejpam-5922	227	12	,	,	PUNCT
ejpam-5922	227	13	33	33	NUM
ejpam-5922	227	14	.	.	PUNCT
ejpam-5922	228	1	[	[	X
ejpam-5922	228	2	16	16	NUM
ejpam-5922	228	3	]	]	X
ejpam-5922	228	4	shabbir	shabbir	PROPN
ejpam-5922	228	5	,	,	PUNCT
ejpam-5922	228	6	j.	j.	PROPN
ejpam-5922	228	7	,	,	PUNCT
ejpam-5922	228	8	gupta	gupta	PROPN
ejpam-5922	228	9	,	,	PUNCT
ejpam-5922	228	10	s.	s.	PROPN
ejpam-5922	228	11	,	,	PUNCT
ejpam-5922	228	12	&	&	CCONJ
ejpam-5922	228	13	hussain	hussain	PROPN
ejpam-5922	228	14	,	,	PUNCT
ejpam-5922	228	15	z.	z.	PROPN
ejpam-5922	228	16	(	(	PUNCT
ejpam-5922	228	17	2015	2015	NUM
ejpam-5922	228	18	)	)	PUNCT
ejpam-5922	228	19	.	.	PUNCT
ejpam-5922	229	1	improved	improved	ADJ
ejpam-5922	229	2	estimation	estimation	NOUN
ejpam-5922	229	3	of	of	ADP
ejpam-5922	229	4	finite	finite	ADJ
ejpam-5922	229	5	population	population	NOUN
ejpam-5922	229	6	median	median	NOUN
ejpam-5922	229	7	under	under	ADP
ejpam-5922	229	8	two	two	NUM
ejpam-5922	229	9	-	-	PUNCT
ejpam-5922	229	10	phase	phase	NOUN
ejpam-5922	229	11	sampling	sampling	NOUN
ejpam-5922	229	12	when	when	SCONJ
ejpam-5922	229	13	using	use	VERB
ejpam-5922	229	14	two	two	NUM
ejpam-5922	229	15	auxiliary	auxiliary	ADJ
ejpam-5922	229	16	variables	variable	NOUN
ejpam-5922	229	17	.	.	PUNCT
ejpam-5922	230	1	scientia	scientia	PROPN
ejpam-5922	230	2	iranica	iranica	PROPN
ejpam-5922	230	3	,	,	PUNCT
ejpam-5922	230	4	22	22	NUM
ejpam-5922	230	5	,	,	PUNCT
ejpam-5922	230	6	1271	1271	NUM
ejpam-5922	230	7	-	-	SYM
ejpam-5922	230	8	1277	1277	NUM
ejpam-5922	230	9	.	.	PUNCT
ejpam-5922	231	1	[	[	X
ejpam-5922	231	2	17	17	NUM
ejpam-5922	231	3	]	]	X
ejpam-5922	231	4	ahmad	ahmad	PROPN
ejpam-5922	231	5	,	,	PUNCT
ejpam-5922	231	6	s.	s.	PROPN
ejpam-5922	231	7	,	,	PUNCT
ejpam-5922	231	8	hussain	hussain	PROPN
ejpam-5922	231	9	,	,	PUNCT
ejpam-5922	231	10	s.	s.	PROPN
ejpam-5922	231	11	,	,	PUNCT
ejpam-5922	231	12	&	&	CCONJ
ejpam-5922	231	13	ahmad	ahmad	PROPN
ejpam-5922	231	14	,	,	PUNCT
ejpam-5922	231	15	s.	s.	PROPN
ejpam-5922	231	16	(	(	PUNCT
ejpam-5922	231	17	2021	2021	NUM
ejpam-5922	231	18	)	)	PUNCT
ejpam-5922	231	19	.	.	PUNCT
ejpam-5922	232	1	finite	finite	ADJ
ejpam-5922	232	2	population	population	NOUN
ejpam-5922	232	3	distribution	distribution	NOUN
ejpam-5922	232	4	function	function	NOUN
ejpam-5922	232	5	estimation	estimation	NOUN
ejpam-5922	232	6	using	use	VERB
ejpam-5922	232	7	auxiliary	auxiliary	ADJ
ejpam-5922	232	8	information	information	NOUN
ejpam-5922	232	9	under	under	ADP
ejpam-5922	232	10	simple	simple	ADJ
ejpam-5922	232	11	random	random	ADJ
ejpam-5922	232	12	sampling	sampling	NOUN
ejpam-5922	232	13	.	.	PUNCT
ejpam-5922	233	1	statistics	statistic	NOUN
ejpam-5922	233	2	,	,	PUNCT
ejpam-5922	233	3	computing	computing	NOUN
ejpam-5922	233	4	and	and	CCONJ
ejpam-5922	233	5	interdisciplinary	interdisciplinary	ADJ
ejpam-5922	233	6	research	research	NOUN
ejpam-5922	233	7	,	,	PUNCT
ejpam-5922	233	8	3	3	NUM
ejpam-5922	233	9	,	,	PUNCT
ejpam-5922	233	10	29	29	NUM
ejpam-5922	233	11	-	-	SYM
ejpam-5922	233	12	38	38	NUM
ejpam-5922	233	13	.	.	PUNCT
ejpam-5922	234	1	[	[	X
ejpam-5922	234	2	18	18	NUM
ejpam-5922	234	3	]	]	X
ejpam-5922	234	4	subzar	subzar	PROPN
ejpam-5922	234	5	,	,	PUNCT
ejpam-5922	234	6	m.	m.	NOUN
ejpam-5922	234	7	,	,	PUNCT
ejpam-5922	234	8	lone	lone	PROPN
ejpam-5922	234	9	,	,	PUNCT
ejpam-5922	234	10	s.	s.	PROPN
ejpam-5922	234	11	a.	a.	PROPN
ejpam-5922	234	12	,	,	PUNCT
ejpam-5922	234	13	ekpenyong	ekpenyong	PROPN
ejpam-5922	234	14	,	,	PUNCT
ejpam-5922	234	15	e.	e.	PROPN
ejpam-5922	234	16	j.	j.	PROPN
ejpam-5922	234	17	,	,	PUNCT
ejpam-5922	234	18	salam	salam	PROPN
ejpam-5922	234	19	,	,	PUNCT
ejpam-5922	234	20	a.	a.	PROPN
ejpam-5922	234	21	,	,	PUNCT
ejpam-5922	234	22	aslam	aslam	PROPN
ejpam-5922	234	23	,	,	PUNCT
ejpam-5922	234	24	m.	m.	NOUN
ejpam-5922	234	25	,	,	PUNCT
ejpam-5922	234	26	raja	raja	PROPN
ejpam-5922	234	27	,	,	PUNCT
ejpam-5922	234	28	t.	t.	PROPN
ejpam-5922	234	29	a.	a.	PROPN
ejpam-5922	234	30	,	,	PUNCT
ejpam-5922	234	31	&	&	CCONJ
ejpam-5922	234	32	almutlak	almutlak	PROPN
ejpam-5922	234	33	,	,	PUNCT
ejpam-5922	234	34	s.	s.	PROPN
ejpam-5922	234	35	a.	a.	PROPN
ejpam-5922	234	36	(	(	PUNCT
ejpam-5922	234	37	2023	2023	NUM
ejpam-5922	234	38	)	)	PUNCT
ejpam-5922	234	39	.	.	PUNCT
ejpam-5922	235	1	efficient	efficient	ADJ
ejpam-5922	235	2	class	class	NOUN
ejpam-5922	235	3	of	of	ADP
ejpam-5922	235	4	ratio	ratio	NOUN
ejpam-5922	235	5	cum	cum	NOUN
ejpam-5922	235	6	median	median	ADJ
ejpam-5922	235	7	estimators	estimator	NOUN
ejpam-5922	235	8	for	for	ADP
ejpam-5922	235	9	estimating	estimate	VERB
ejpam-5922	235	10	the	the	DET
ejpam-5922	235	11	population	population	NOUN
ejpam-5922	235	12	median	median	NOUN
ejpam-5922	235	13	.	.	PUNCT
ejpam-5922	236	1	plos	plos	PROPN
ejpam-5922	236	2	one	one	NUM
ejpam-5922	236	3	,	,	PUNCT
ejpam-5922	236	4	18	18	NUM
ejpam-5922	236	5	,	,	PUNCT
ejpam-5922	236	6	e0274690	e0274690	NOUN
ejpam-5922	236	7	.	.	PUNCT
ejpam-5922	237	1	[	[	X
ejpam-5922	237	2	19	19	NUM
ejpam-5922	237	3	]	]	X
ejpam-5922	237	4	shabbir	shabbir	PROPN
ejpam-5922	237	5	,	,	PUNCT
ejpam-5922	237	6	j.	j.	PROPN
ejpam-5922	237	7	,	,	PUNCT
ejpam-5922	237	8	&	&	CCONJ
ejpam-5922	237	9	gupta	gupta	PROPN
ejpam-5922	237	10	,	,	PUNCT
ejpam-5922	237	11	s.	s.	PROPN
ejpam-5922	237	12	(	(	PUNCT
ejpam-5922	237	13	2017	2017	NUM
ejpam-5922	237	14	)	)	PUNCT
ejpam-5922	237	15	.	.	PUNCT
ejpam-5922	238	1	a	a	DET
ejpam-5922	238	2	generalized	generalized	ADJ
ejpam-5922	238	3	class	class	NOUN
ejpam-5922	238	4	of	of	ADP
ejpam-5922	238	5	di	di	NOUN
ejpam-5922	238	6	fference	fference	NOUN
ejpam-5922	238	7	type	type	NOUN
ejpam-5922	238	8	estimators	estimator	NOUN
ejpam-5922	238	9	for	for	ADP
ejpam-5922	238	10	population	population	NOUN
ejpam-5922	238	11	median	median	NOUN
ejpam-5922	238	12	in	in	ADP
ejpam-5922	238	13	survey	survey	NOUN
ejpam-5922	238	14	sampling	sample	VERB
ejpam-5922	238	15	.	.	PUNCT
ejpam-5922	239	1	hacettepe	hacettepe	PROPN
ejpam-5922	239	2	journal	journal	PROPN
ejpam-5922	239	3	of	of	ADP
ejpam-5922	239	4	mathematics	mathematic	NOUN
ejpam-5922	239	5	and	and	CCONJ
ejpam-5922	239	6	statistics	statistic	NOUN
ejpam-5922	239	7	,	,	PUNCT
ejpam-5922	239	8	46	46	NUM
ejpam-5922	239	9	,	,	PUNCT
ejpam-5922	239	10	10151028	10151028	NUM
ejpam-5922	239	11	.	.	PUNCT
ejpam-5922	240	1	[	[	X
ejpam-5922	240	2	20	20	NUM
ejpam-5922	240	3	]	]	SYM
ejpam-5922	240	4	hussain	hussain	PROPN
ejpam-5922	240	5	,	,	PUNCT
ejpam-5922	240	6	i.	i.	PROPN
ejpam-5922	240	7	,	,	PUNCT
ejpam-5922	240	8	qureshi	qureshi	PROPN
ejpam-5922	240	9	,	,	PUNCT
ejpam-5922	240	10	m.	m.	NOUN
ejpam-5922	240	11	,	,	PUNCT
ejpam-5922	240	12	ismail	ismail	PROPN
ejpam-5922	240	13	,	,	PUNCT
ejpam-5922	240	14	m.	m.	NOUN
ejpam-5922	240	15	,	,	PUNCT
ejpam-5922	240	16	iftikhar	iftikhar	PROPN
ejpam-5922	240	17	,	,	PUNCT
ejpam-5922	240	18	h.	h.	PROPN
ejpam-5922	240	19	,	,	PUNCT
ejpam-5922	240	20	zywio	zywio	PROPN
ejpam-5922	240	21	lek	lek	PROPN
ejpam-5922	240	22	,	,	PUNCT
ejpam-5922	240	23	j.	j.	PROPN
ejpam-5922	240	24	,	,	PUNCT
ejpam-5922	240	25	&	&	CCONJ
ejpam-5922	240	26	lópez	lópez	PROPN
ejpam-5922	240	27	-	-	PUNCT
ejpam-5922	240	28	gonzales	gonzale	NOUN
ejpam-5922	240	29	,	,	PUNCT
ejpam-5922	240	30	j.	j.	PROPN
ejpam-5922	240	31	l.	l.	PROPN
ejpam-5922	240	32	(	(	PUNCT
ejpam-5922	240	33	2024	2024	NUM
ejpam-5922	240	34	)	)	PUNCT
ejpam-5922	240	35	.	.	PUNCT
ejpam-5922	241	1	optimal	optimal	ADJ
ejpam-5922	241	2	features	feature	VERB
ejpam-5922	241	3	selection	selection	NOUN
ejpam-5922	241	4	in	in	ADP
ejpam-5922	241	5	the	the	DET
ejpam-5922	241	6	high	high	ADJ
ejpam-5922	241	7	dimensional	dimensional	ADJ
ejpam-5922	241	8	data	datum	NOUN
ejpam-5922	241	9	based	base	VERB
ejpam-5922	241	10	on	on	ADP
ejpam-5922	241	11	robust	robust	ADJ
ejpam-5922	241	12	technique	technique	NOUN
ejpam-5922	241	13	:	:	PUNCT
ejpam-5922	241	14	application	application	NOUN
ejpam-5922	241	15	to	to	ADP
ejpam-5922	241	16	different	different	ADJ
ejpam-5922	241	17	health	health	NOUN
ejpam-5922	241	18	database	database	NOUN
ejpam-5922	241	19	.	.	PUNCT
ejpam-5922	242	1	heliyon	heliyon	NOUN
ejpam-5922	242	2	,	,	PUNCT
ejpam-5922	242	3	10	10	NUM
ejpam-5922	242	4	.	.	PUNCT
ejpam-5922	243	1	[	[	X
ejpam-5922	243	2	21	21	NUM
ejpam-5922	243	3	]	]	X
ejpam-5922	243	4	ahmad	ahmad	PROPN
ejpam-5922	243	5	,	,	PUNCT
ejpam-5922	243	6	s.	s.	PROPN
ejpam-5922	243	7	,	,	PUNCT
ejpam-5922	243	8	qureshi	qureshi	PROPN
ejpam-5922	243	9	,	,	PUNCT
ejpam-5922	243	10	m.	m.	NOUN
ejpam-5922	243	11	,	,	PUNCT
ejpam-5922	243	12	iftikhar	iftikhar	PROPN
ejpam-5922	243	13	,	,	PUNCT
ejpam-5922	243	14	h.	h.	PROPN
ejpam-5922	243	15	,	,	PUNCT
ejpam-5922	243	16	rodrigues	rodrigues	PROPN
ejpam-5922	243	17	,	,	PUNCT
ejpam-5922	243	18	p.	p.	PROPN
ejpam-5922	243	19	c.	c.	PROPN
ejpam-5922	243	20	,	,	PUNCT
ejpam-5922	243	21	&	&	CCONJ
ejpam-5922	243	22	rehman	rehman	PROPN
ejpam-5922	243	23	,	,	PUNCT
ejpam-5922	243	24	m.	m.	NOUN
ejpam-5922	243	25	z.	z.	PROPN
ejpam-5922	243	26	(	(	PUNCT
ejpam-5922	243	27	2025	2025	NUM
ejpam-5922	243	28	)	)	PUNCT
ejpam-5922	243	29	.	.	PUNCT
ejpam-5922	244	1	an	an	DET
ejpam-5922	244	2	improved	improved	ADJ
ejpam-5922	244	3	family	family	NOUN
ejpam-5922	244	4	of	of	ADP
ejpam-5922	244	5	unbiased	unbiased	ADJ
ejpam-5922	244	6	ratio	ratio	NOUN
ejpam-5922	244	7	estimators	estimator	NOUN
ejpam-5922	244	8	for	for	ADP
ejpam-5922	244	9	a	a	DET
ejpam-5922	244	10	population	population	NOUN
ejpam-5922	244	11	distribution	distribution	NOUN
ejpam-5922	244	12	function	function	NOUN
ejpam-5922	244	13	.	.	PUNCT
ejpam-5922	245	1	aims	aim	VERB
ejpam-5922	245	2	mathematics	mathematic	NOUN
ejpam-5922	245	3	,	,	PUNCT
ejpam-5922	245	4	10	10	NUM
ejpam-5922	245	5	,	,	PUNCT
ejpam-5922	245	6	1061	1061	NUM
ejpam-5922	245	7	-	-	SYM
ejpam-5922	245	8	1084	1084	NUM
ejpam-5922	245	9	.	.	PUNCT
ejpam-5922	246	1	[	[	X
ejpam-5922	246	2	22	22	NUM
ejpam-5922	246	3	]	]	X
ejpam-5922	246	4	kumar	kumar	PROPN
ejpam-5922	246	5	,	,	PUNCT
ejpam-5922	246	6	a.	a.	PROPN
ejpam-5922	246	7	,	,	PUNCT
ejpam-5922	246	8	&	&	CCONJ
ejpam-5922	246	9	siddiqui	siddiqui	PROPN
ejpam-5922	246	10	,	,	PUNCT
ejpam-5922	246	11	a.	a.	PROPN
ejpam-5922	246	12	s.	s.	PROPN
ejpam-5922	246	13	(	(	PUNCT
ejpam-5922	246	14	2024	2024	NUM
ejpam-5922	246	15	)	)	PUNCT
ejpam-5922	246	16	.	.	PUNCT
ejpam-5922	247	1	enhanced	enhance	VERB
ejpam-5922	247	2	estimation	estimation	NOUN
ejpam-5922	247	3	of	of	ADP
ejpam-5922	247	4	population	population	NOUN
ejpam-5922	247	5	mean	mean	VERB
ejpam-5922	247	6	using	use	VERB
ejpam-5922	247	7	simple	simple	ADJ
ejpam-5922	247	8	random	random	ADJ
ejpam-5922	247	9	sampling	sampling	NOUN
ejpam-5922	247	10	.	.	PUNCT
ejpam-5922	248	1	research	research	NOUN
ejpam-5922	248	2	in	in	ADP
ejpam-5922	248	3	statistics	statistic	NOUN
ejpam-5922	248	4	,	,	PUNCT
ejpam-5922	248	5	2	2	NUM
ejpam-5922	248	6	,	,	PUNCT
ejpam-5922	248	7	2335949	2335949	NUM
ejpam-5922	248	8	.	.	PUNCT
ejpam-5922	249	1	[	[	X
ejpam-5922	249	2	23	23	NUM
ejpam-5922	249	3	]	]	X
ejpam-5922	249	4	bhushan	bhushan	PROPN
ejpam-5922	249	5	,	,	PUNCT
ejpam-5922	249	6	s.	s.	PROPN
ejpam-5922	249	7	,	,	PUNCT
ejpam-5922	249	8	&	&	CCONJ
ejpam-5922	249	9	kumar	kumar	PROPN
ejpam-5922	249	10	,	,	PUNCT
ejpam-5922	249	11	a.	a.	NOUN
ejpam-5922	249	12	(	(	PUNCT
ejpam-5922	249	13	2023	2023	NUM
ejpam-5922	249	14	)	)	PUNCT
ejpam-5922	249	15	.	.	PUNCT
ejpam-5922	250	1	evaluating	evaluate	VERB
ejpam-5922	250	2	the	the	DET
ejpam-5922	250	3	performance	performance	NOUN
ejpam-5922	250	4	of	of	ADP
ejpam-5922	250	5	logarithmic	logarithmic	ADJ
ejpam-5922	250	6	type	type	NOUN
ejpam-5922	250	7	estimators	estimator	NOUN
ejpam-5922	250	8	using	use	VERB
ejpam-5922	250	9	auxiliary	auxiliary	ADJ
ejpam-5922	250	10	attribute	attribute	NOUN
ejpam-5922	250	11	.	.	PUNCT
ejpam-5922	251	1	life	life	NOUN
ejpam-5922	251	2	cycle	cycle	NOUN
ejpam-5922	251	3	reliability	reliability	NOUN
ejpam-5922	251	4	and	and	CCONJ
ejpam-5922	251	5	safety	safety	NOUN
ejpam-5922	251	6	engineering	engineering	NOUN
ejpam-5922	251	7	,	,	PUNCT
ejpam-5922	251	8	12	12	NUM
ejpam-5922	251	9	,	,	PUNCT
ejpam-5922	251	10	285	285	NUM
ejpam-5922	251	11	-	-	SYM
ejpam-5922	251	12	292	292	NUM
ejpam-5922	251	13	.	.	PUNCT
ejpam-5922	252	1	[	[	X
ejpam-5922	252	2	24	24	NUM
ejpam-5922	252	3	]	]	PUNCT
ejpam-5922	252	4	bahl	bahl	PROPN
ejpam-5922	252	5	,	,	PUNCT
ejpam-5922	252	6	s	s	PART
ejpam-5922	252	7	and	and	CCONJ
ejpam-5922	252	8	tuteja	tuteja	NOUN
ejpam-5922	252	9	,	,	PUNCT
ejpam-5922	252	10	r.	r.	PROPN
ejpam-5922	252	11	(	(	PUNCT
ejpam-5922	252	12	1991	1991	NUM
ejpam-5922	252	13	)	)	PUNCT
ejpam-5922	252	14	.	.	PUNCT
ejpam-5922	253	1	ratio	ratio	NOUN
ejpam-5922	253	2	and	and	CCONJ
ejpam-5922	253	3	product	product	NOUN
ejpam-5922	253	4	type	type	NOUN
ejpam-5922	253	5	exponential	exponential	ADJ
ejpam-5922	253	6	estimators	estimator	NOUN
ejpam-5922	253	7	.	.	PUNCT
ejpam-5922	254	1	journal	journal	NOUN
ejpam-5922	254	2	of	of	ADP
ejpam-5922	254	3	information	information	NOUN
ejpam-5922	254	4	of	of	ADP
ejpam-5922	254	5	optimization	optimization	NOUN
ejpam-5922	254	6	sciences	science	NOUN
ejpam-5922	254	7	,	,	PUNCT
ejpam-5922	254	8	12	12	NUM
ejpam-5922	254	9	:	:	SYM
ejpam-5922	254	10	159	159	NUM
ejpam-5922	254	11	-	-	SYM
ejpam-5922	254	12	164	164	NUM
ejpam-5922	254	13	.	.	PUNCT