id	sid	tid	token	lemma	pos
iajs-3805	1	1	408	408	NUM
iajs-3805	1	2	©	©	ADP
iajs-3805	1	3	2024	2024	NUM
iajs-3805	1	4	the	the	DET
iajs-3805	1	5	author(s	author(s	NOUN
iajs-3805	1	6	)	)	PUNCT
iajs-3805	1	7	.	.	PUNCT
iajs-3805	2	1	published	publish	VERB
iajs-3805	2	2	by	by	ADP
iajs-3805	2	3	college	college	NOUN
iajs-3805	2	4	of	of	ADP
iajs-3805	2	5	education	education	NOUN
iajs-3805	2	6	for	for	ADP
iajs-3805	2	7	pure	pure	ADJ
iajs-3805	2	8	science	science	NOUN
iajs-3805	2	9	(	(	PUNCT
iajs-3805	2	10	ibn	ibn	PROPN
iajs-3805	2	11	al	al	PROPN
iajs-3805	2	12	-	-	PUNCT
iajs-3805	2	13	haitham	haitham	PROPN
iajs-3805	2	14	)	)	PUNCT
iajs-3805	2	15	,	,	PUNCT
iajs-3805	2	16	university	university	NOUN
iajs-3805	2	17	of	of	ADP
iajs-3805	2	18	baghdad	baghdad	PROPN
iajs-3805	2	19	.	.	PUNCT
iajs-3805	3	1	this	this	PRON
iajs-3805	3	2	is	be	AUX
iajs-3805	3	3	an	an	DET
iajs-3805	3	4	open	open	ADJ
iajs-3805	3	5	-	-	PUNCT
iajs-3805	3	6	access	access	NOUN
iajs-3805	3	7	article	article	NOUN
iajs-3805	3	8	distributed	distribute	VERB
iajs-3805	3	9	under	under	ADP
iajs-3805	3	10	the	the	DET
iajs-3805	3	11	terms	term	NOUN
iajs-3805	3	12	of	of	ADP
iajs-3805	3	13	the	the	DET
iajs-3805	3	14	creative	creative	ADJ
iajs-3805	3	15	commons	common	NOUN
iajs-3805	3	16	attribution	attribution	NOUN
iajs-3805	3	17	4.0	4.0	NUM
iajs-3805	3	18	international	international	ADJ
iajs-3805	3	19	license	license	NOUN
iajs-3805	3	20	ibn	ibn	PROPN
iajs-3805	3	21	al	al	PROPN
iajs-3805	3	22	-	-	PUNCT
iajs-3805	3	23	haitham	haitham	PROPN
iajs-3805	3	24	journal	journal	PROPN
iajs-3805	3	25	for	for	ADP
iajs-3805	3	26	pure	pure	ADJ
iajs-3805	3	27	and	and	CCONJ
iajs-3805	3	28	applied	applied	ADJ
iajs-3805	3	29	sciences	sciences	PROPN
iajs-3805	3	30	journal	journal	PROPN
iajs-3805	3	31	homepage	homepage	NOUN
iajs-3805	3	32	:	:	PUNCT
iajs-3805	3	33	jih.uobaghdad.edu.iq	jih.uobaghdad.edu.iq	NOUN
iajs-3805	3	34	pissn	pissn	ADJ
iajs-3805	3	35	:	:	PUNCT
iajs-3805	3	36	1609	1609	NUM
iajs-3805	3	37	-	-	SYM
iajs-3805	3	38	4042	4042	NUM
iajs-3805	3	39	,	,	PUNCT
iajs-3805	3	40	eissn	eissn	NOUN
iajs-3805	3	41	:	:	PUNCT
iajs-3805	3	42	2521	2521	NUM
iajs-3805	3	43	-	-	SYM
iajs-3805	3	44	3407	3407	NUM
iajs-3805	3	45	ihjpas	ihjpa	NOUN
iajs-3805	3	46	.	.	PUNCT
iajs-3805	4	1	2024	2024	NUM
iajs-3805	4	2	,	,	PUNCT
iajs-3805	4	3	37(4	37(4	X
iajs-3805	4	4	)	)	PUNCT
iajs-3805	4	5	a	a	DET
iajs-3805	4	6	comparison	comparison	NOUN
iajs-3805	4	7	of	of	ADP
iajs-3805	4	8	some	some	DET
iajs-3805	4	9	non	non	ADJ
iajs-3805	4	10	-	-	ADJ
iajs-3805	4	11	parametric	parametric	ADJ
iajs-3805	4	12	kernel	kernel	NOUN
iajs-3805	4	13	estimators	estimator	NOUN
iajs-3805	4	14	using	use	VERB
iajs-3805	4	15	simulations	simulation	NOUN
iajs-3805	4	16	rabab	rabab	PROPN
iajs-3805	4	17	abdulrida	abdulrida	PROPN
iajs-3805	4	18	saleh1	saleh1	PROPN
iajs-3805	4	19	,	,	PUNCT
iajs-3805	4	20	*	*	PUNCT
iajs-3805	4	21	and	and	CCONJ
iajs-3805	4	22	iqbal	iqbal	PROPN
iajs-3805	4	23	mahmood	mahmood	PROPN
iajs-3805	4	24	alwan2	alwan2	PROPN
iajs-3805	5	1	1,2department	1,2department	NUM
iajs-3805	5	2	of	of	ADP
iajs-3805	5	3	statistics	statistic	NOUN
iajs-3805	5	4	,	,	PUNCT
iajs-3805	5	5	college	college	NOUN
iajs-3805	5	6	of	of	ADP
iajs-3805	5	7	administration	administration	NOUN
iajs-3805	5	8	and	and	CCONJ
iajs-3805	5	9	economics	economic	NOUN
iajs-3805	5	10	,	,	PUNCT
iajs-3805	5	11	university	university	NOUN
iajs-3805	5	12	of	of	ADP
iajs-3805	5	13	baghdad	baghdad	PROPN
iajs-3805	5	14	,	,	PUNCT
iajs-3805	5	15	baghdad	baghdad	PROPN
iajs-3805	5	16	,	,	PUNCT
iajs-3805	5	17	iraq	iraq	PROPN
iajs-3805	5	18	.	.	PUNCT
iajs-3805	6	1	*	*	PUNCT
iajs-3805	6	2	corresponding	correspond	VERB
iajs-3805	6	3	author	author	NOUN
iajs-3805	6	4	.	.	PUNCT
iajs-3805	7	1	received	receive	VERB
iajs-3805	7	2	:	:	PUNCT
iajs-3805	7	3	16	16	NUM
iajs-3805	7	4	december	december	PROPN
iajs-3805	7	5	2023	2023	NUM
iajs-3805	7	6	accepted	accept	VERB
iajs-3805	7	7	:	:	PUNCT
iajs-3805	7	8	6	6	NUM
iajs-3805	7	9	february	february	NOUN
iajs-3805	7	10	2024	2024	NUM
iajs-3805	7	11	published	publish	VERB
iajs-3805	7	12	:	:	PUNCT
iajs-3805	7	13	20	20	NUM
iajs-3805	7	14	october	october	NOUN
iajs-3805	7	15	2024	2024	NUM
iajs-3805	7	16	doi.org/10.30526/37.4.3805	doi.org/10.30526/37.4.3805	VERB
iajs-3805	7	17	abstract	abstract	NOUN
iajs-3805	7	18	in	in	ADP
iajs-3805	7	19	this	this	DET
iajs-3805	7	20	research	research	NOUN
iajs-3805	7	21	,	,	PUNCT
iajs-3805	7	22	we	we	PRON
iajs-3805	7	23	conducted	conduct	VERB
iajs-3805	7	24	a	a	DET
iajs-3805	7	25	comprehensive	comprehensive	ADJ
iajs-3805	7	26	investigation	investigation	NOUN
iajs-3805	7	27	of	of	ADP
iajs-3805	7	28	various	various	ADJ
iajs-3805	7	29	kernel	kernel	NOUN
iajs-3805	7	30	functions	function	NOUN
iajs-3805	7	31	employed	employ	VERB
iajs-3805	7	32	in	in	ADP
iajs-3805	7	33	the	the	DET
iajs-3805	7	34	estimation	estimation	NOUN
iajs-3805	7	35	of	of	ADP
iajs-3805	7	36	nonparametric	nonparametric	NOUN
iajs-3805	7	37	regression	regression	NOUN
iajs-3805	7	38	functions	function	NOUN
iajs-3805	7	39	.	.	PUNCT
iajs-3805	8	1	in	in	ADP
iajs-3805	8	2	particular	particular	ADJ
iajs-3805	8	3	,	,	PUNCT
iajs-3805	8	4	we	we	PRON
iajs-3805	8	5	investigated	investigate	VERB
iajs-3805	8	6	the	the	DET
iajs-3805	8	7	nadaraya	nadaraya	PROPN
iajs-3805	8	8	-	-	PUNCT
iajs-3805	8	9	watson	watson	PROPN
iajs-3805	8	10	method	method	NOUN
iajs-3805	8	11	and	and	CCONJ
iajs-3805	8	12	local	local	ADJ
iajs-3805	8	13	polynomial	polynomial	ADJ
iajs-3805	8	14	regression	regression	NOUN
iajs-3805	8	15	techniques	technique	NOUN
iajs-3805	8	16	involving	involve	VERB
iajs-3805	8	17	linear	linear	ADJ
iajs-3805	8	18	,	,	PUNCT
iajs-3805	8	19	quadratic	quadratic	ADJ
iajs-3805	8	20	and	and	CCONJ
iajs-3805	8	21	cubic	cubic	ADJ
iajs-3805	8	22	forms	form	NOUN
iajs-3805	8	23	.	.	PUNCT
iajs-3805	9	1	these	these	DET
iajs-3805	9	2	methods	method	NOUN
iajs-3805	9	3	were	be	AUX
iajs-3805	9	4	evaluated	evaluate	VERB
iajs-3805	9	5	using	use	VERB
iajs-3805	9	6	five	five	NUM
iajs-3805	9	7	different	different	ADJ
iajs-3805	9	8	kernel	kernel	NOUN
iajs-3805	9	9	functions	function	NOUN
iajs-3805	9	10	:	:	PUNCT
iajs-3805	9	11	gaussian	gaussian	ADJ
iajs-3805	9	12	,	,	PUNCT
iajs-3805	9	13	epanechnikov	epanechnikov	PROPN
iajs-3805	9	14	,	,	PUNCT
iajs-3805	9	15	uniform	uniform	NOUN
iajs-3805	9	16	,	,	PUNCT
iajs-3805	9	17	triangular	triangular	NOUN
iajs-3805	9	18	and	and	CCONJ
iajs-3805	9	19	quartic	quartic	ADJ
iajs-3805	9	20	,	,	PUNCT
iajs-3805	9	21	collectively	collectively	ADV
iajs-3805	9	22	referred	refer	VERB
iajs-3805	9	23	to	to	ADP
iajs-3805	9	24	as	as	ADV
iajs-3805	9	25	geutq	geutq	ADJ
iajs-3805	9	26	.	.	PUNCT
iajs-3805	10	1	the	the	DET
iajs-3805	10	2	main	main	ADJ
iajs-3805	10	3	objective	objective	NOUN
iajs-3805	10	4	of	of	ADP
iajs-3805	10	5	the	the	DET
iajs-3805	10	6	work	work	NOUN
iajs-3805	10	7	was	be	AUX
iajs-3805	10	8	to	to	PART
iajs-3805	10	9	determine	determine	VERB
iajs-3805	10	10	the	the	DET
iajs-3805	10	11	best	good	ADJ
iajs-3805	10	12	estimators	estimator	NOUN
iajs-3805	10	13	for	for	ADP
iajs-3805	10	14	non	non	ADJ
iajs-3805	10	15	-	-	ADJ
iajs-3805	10	16	parametric	parametric	ADJ
iajs-3805	10	17	kernel	kernel	NOUN
iajs-3805	10	18	functions	function	NOUN
iajs-3805	10	19	.	.	PUNCT
iajs-3805	11	1	to	to	PART
iajs-3805	11	2	achieve	achieve	VERB
iajs-3805	11	3	this	this	PRON
iajs-3805	11	4	,	,	PUNCT
iajs-3805	11	5	we	we	PRON
iajs-3805	11	6	performed	perform	VERB
iajs-3805	11	7	a	a	DET
iajs-3805	11	8	rigorous	rigorous	ADJ
iajs-3805	11	9	comparison	comparison	NOUN
iajs-3805	11	10	with	with	ADP
iajs-3805	11	11	simulation	simulation	NOUN
iajs-3805	11	12	methods	method	NOUN
iajs-3805	11	13	,	,	PUNCT
iajs-3805	11	14	different	different	ADJ
iajs-3805	11	15	regression	regression	NOUN
iajs-3805	11	16	models	model	NOUN
iajs-3805	11	17	and	and	CCONJ
iajs-3805	11	18	different	different	ADJ
iajs-3805	11	19	sample	sample	NOUN
iajs-3805	11	20	sizes	size	NOUN
iajs-3805	11	21	.	.	PUNCT
iajs-3805	12	1	the	the	DET
iajs-3805	12	2	evaluation	evaluation	NOUN
iajs-3805	12	3	of	of	ADP
iajs-3805	12	4	the	the	DET
iajs-3805	12	5	performance	performance	NOUN
iajs-3805	12	6	of	of	ADP
iajs-3805	12	7	the	the	DET
iajs-3805	12	8	estimators	estimator	NOUN
iajs-3805	12	9	was	be	AUX
iajs-3805	12	10	based	base	VERB
iajs-3805	12	11	on	on	ADP
iajs-3805	12	12	the	the	DET
iajs-3805	12	13	mean	mean	ADJ
iajs-3805	12	14	absolute	absolute	ADJ
iajs-3805	12	15	percentage	percentage	NOUN
iajs-3805	12	16	error	error	NOUN
iajs-3805	12	17	(	(	PUNCT
iajs-3805	12	18	amape	amape	NOUN
iajs-3805	12	19	)	)	PUNCT
iajs-3805	12	20	assuming	assume	VERB
iajs-3805	12	21	a	a	DET
iajs-3805	12	22	standard	standard	ADJ
iajs-3805	12	23	normal	normal	ADJ
iajs-3805	12	24	distribution	distribution	NOUN
iajs-3805	12	25	with	with	ADP
iajs-3805	12	26	a	a	DET
iajs-3805	12	27	mean	mean	NOUN
iajs-3805	12	28	of	of	ADP
iajs-3805	12	29	zero	zero	NUM
iajs-3805	12	30	and	and	CCONJ
iajs-3805	12	31	a	a	DET
iajs-3805	12	32	variance	variance	NOUN
iajs-3805	12	33	of	of	ADP
iajs-3805	12	34	one	one	NUM
iajs-3805	12	35	.	.	PUNCT
iajs-3805	13	1	our	our	PRON
iajs-3805	13	2	simulation	simulation	NOUN
iajs-3805	13	3	results	result	NOUN
iajs-3805	13	4	and	and	CCONJ
iajs-3805	13	5	plots	plot	NOUN
iajs-3805	13	6	clearly	clearly	ADV
iajs-3805	13	7	show	show	VERB
iajs-3805	13	8	that	that	SCONJ
iajs-3805	13	9	the	the	DET
iajs-3805	13	10	quadratic	quadratic	ADJ
iajs-3805	13	11	estimator	estimator	NOUN
iajs-3805	13	12	(	(	PUNCT
iajs-3805	13	13	lp2	lp2	PROPN
iajs-3805	13	14	)	)	PUNCT
iajs-3805	13	15	using	use	VERB
iajs-3805	13	16	the	the	DET
iajs-3805	13	17	kernel	kernel	NOUN
iajs-3805	13	18	function	function	NOUN
iajs-3805	13	19	(	(	PUNCT
iajs-3805	13	20	g	g	NOUN
iajs-3805	13	21	,	,	PUNCT
iajs-3805	13	22	e	e	NOUN
iajs-3805	13	23	)	)	PUNCT
iajs-3805	13	24	consistently	consistently	ADV
iajs-3805	13	25	has	have	VERB
iajs-3805	13	26	the	the	DET
iajs-3805	13	27	lowest	low	ADJ
iajs-3805	13	28	(	(	PUNCT
iajs-3805	13	29	amape	amape	NOUN
iajs-3805	13	30	)	)	PUNCT
iajs-3805	13	31	across	across	ADP
iajs-3805	13	32	all	all	DET
iajs-3805	13	33	sample	sample	NOUN
iajs-3805	13	34	sizes	size	NOUN
iajs-3805	13	35	and	and	CCONJ
iajs-3805	13	36	two	two	NUM
iajs-3805	13	37	models	model	NOUN
iajs-3805	13	38	.	.	PUNCT
iajs-3805	14	1	similarly	similarly	ADV
iajs-3805	14	2	,	,	PUNCT
iajs-3805	14	3	the	the	DET
iajs-3805	14	4	local	local	ADJ
iajs-3805	14	5	linear	linear	PROPN
iajs-3805	14	6	estimator	estimator	NOUN
iajs-3805	14	7	(	(	PUNCT
iajs-3805	14	8	lp1	lp1	PROPN
iajs-3805	14	9	)	)	PUNCT
iajs-3805	14	10	in	in	ADP
iajs-3805	14	11	the	the	DET
iajs-3805	14	12	functions	function	NOUN
iajs-3805	14	13	(	(	PUNCT
iajs-3805	14	14	u	u	NOUN
iajs-3805	14	15	,	,	PUNCT
iajs-3805	14	16	t	t	PROPN
iajs-3805	14	17	,	,	PUNCT
iajs-3805	14	18	q	q	NOUN
iajs-3805	14	19	)	)	PUNCT
iajs-3805	14	20	has	have	VERB
iajs-3805	14	21	the	the	DET
iajs-3805	14	22	lowest	low	ADJ
iajs-3805	14	23	(	(	PUNCT
iajs-3805	14	24	amape	amape	NOUN
iajs-3805	14	25	)	)	PUNCT
iajs-3805	14	26	for	for	ADP
iajs-3805	14	27	all	all	DET
iajs-3805	14	28	sample	sample	NOUN
iajs-3805	14	29	sizes	size	NOUN
iajs-3805	14	30	and	and	CCONJ
iajs-3805	14	31	two	two	NUM
iajs-3805	14	32	models	model	NOUN
iajs-3805	14	33	.	.	PUNCT
iajs-3805	15	1	as	as	ADP
iajs-3805	15	2	for	for	ADP
iajs-3805	15	3	the	the	DET
iajs-3805	15	4	optimal	optimal	ADJ
iajs-3805	15	5	functions	function	NOUN
iajs-3805	15	6	,	,	PUNCT
iajs-3805	15	7	function	function	NOUN
iajs-3805	15	8	is	be	AUX
iajs-3805	15	9	identified	identify	VERB
iajs-3805	15	10	as	as	ADP
iajs-3805	15	11	the	the	DET
iajs-3805	15	12	most	most	ADV
iajs-3805	15	13	effective	effective	ADJ
iajs-3805	15	14	kernel	kernel	NOUN
iajs-3805	15	15	function	function	NOUN
iajs-3805	15	16	among	among	ADP
iajs-3805	15	17	the	the	DET
iajs-3805	15	18	options	option	NOUN
iajs-3805	15	19	considered	consider	VERB
iajs-3805	15	20	,	,	PUNCT
iajs-3805	15	21	leading	lead	VERB
iajs-3805	15	22	to	to	ADP
iajs-3805	15	23	the	the	DET
iajs-3805	15	24	lowest	low	ADJ
iajs-3805	15	25	average	average	ADJ
iajs-3805	15	26	values	value	NOUN
iajs-3805	15	27	.	.	PUNCT
iajs-3805	16	1	furthermore	furthermore	ADV
iajs-3805	16	2	,	,	PUNCT
iajs-3805	16	3	it	it	PRON
iajs-3805	16	4	is	be	AUX
iajs-3805	16	5	observed	observe	VERB
iajs-3805	16	6	that	that	SCONJ
iajs-3805	16	7	as	as	SCONJ
iajs-3805	16	8	the	the	DET
iajs-3805	16	9	sample	sample	NOUN
iajs-3805	16	10	size	size	NOUN
iajs-3805	16	11	increases	increase	NOUN
iajs-3805	16	12	,	,	PUNCT
iajs-3805	16	13	the	the	DET
iajs-3805	16	14	average	average	ADJ
iajs-3805	16	15	values	value	NOUN
iajs-3805	16	16	for	for	ADP
iajs-3805	16	17	the	the	DET
iajs-3805	16	18	following	follow	VERB
iajs-3805	16	19	methods	method	NOUN
iajs-3805	16	20	decrease	decrease	NOUN
iajs-3805	16	21	:	:	PUNCT
iajs-3805	16	22	nadaraya	nadaraya	PROPN
iajs-3805	16	23	,	,	PUNCT
iajs-3805	16	24	the	the	DET
iajs-3805	16	25	linear	linear	ADJ
iajs-3805	16	26	method	method	NOUN
iajs-3805	16	27	and	and	CCONJ
iajs-3805	16	28	the	the	DET
iajs-3805	16	29	quadratic	quadratic	ADJ
iajs-3805	16	30	method	method	NOUN
iajs-3805	16	31	.	.	PUNCT
iajs-3805	17	1	conversely	conversely	ADV
iajs-3805	17	2	,	,	PUNCT
iajs-3805	17	3	the	the	DET
iajs-3805	17	4	lp3	lp3	NOUN
iajs-3805	17	5	estimators	estimator	NOUN
iajs-3805	17	6	,	,	PUNCT
iajs-3805	17	7	especially	especially	ADV
iajs-3805	17	8	the	the	DET
iajs-3805	17	9	linear	linear	ADJ
iajs-3805	17	10	cubic	cubic	ADJ
iajs-3805	17	11	regression	regression	NOUN
iajs-3805	17	12	,	,	PUNCT
iajs-3805	17	13	turn	turn	VERB
iajs-3805	17	14	out	out	ADP
iajs-3805	17	15	to	to	PART
iajs-3805	17	16	be	be	AUX
iajs-3805	17	17	the	the	DET
iajs-3805	17	18	least	least	ADV
iajs-3805	17	19	favorable	favorable	ADJ
iajs-3805	17	20	and	and	CCONJ
iajs-3805	17	21	have	have	VERB
iajs-3805	17	22	relatively	relatively	ADV
iajs-3805	17	23	high	high	ADJ
iajs-3805	17	24	values	value	NOUN
iajs-3805	17	25	compared	compare	VERB
iajs-3805	17	26	to	to	ADP
iajs-3805	17	27	the	the	DET
iajs-3805	17	28	other	other	ADJ
iajs-3805	17	29	estimators	estimator	NOUN
iajs-3805	17	30	.	.	PUNCT
iajs-3805	18	1	these	these	DET
iajs-3805	18	2	results	result	NOUN
iajs-3805	18	3	provide	provide	VERB
iajs-3805	18	4	valuable	valuable	ADJ
iajs-3805	18	5	insights	insight	NOUN
iajs-3805	18	6	into	into	ADP
iajs-3805	18	7	the	the	DET
iajs-3805	18	8	performance	performance	NOUN
iajs-3805	18	9	of	of	ADP
iajs-3805	18	10	different	different	ADJ
iajs-3805	18	11	estimators	estimator	NOUN
iajs-3805	18	12	and	and	CCONJ
iajs-3805	18	13	kernel	kernel	NOUN
iajs-3805	18	14	functions	function	NOUN
iajs-3805	18	15	in	in	ADP
iajs-3805	18	16	nonparametric	nonparametric	ADJ
iajs-3805	18	17	regression	regression	NOUN
iajs-3805	18	18	models	model	NOUN
iajs-3805	18	19	and	and	CCONJ
iajs-3805	18	20	thus	thus	ADV
iajs-3805	18	21	contribute	contribute	VERB
iajs-3805	18	22	to	to	ADP
iajs-3805	18	23	future	future	ADJ
iajs-3805	18	24	research	research	NOUN
iajs-3805	18	25	and	and	CCONJ
iajs-3805	18	26	decision	decision	NOUN
iajs-3805	18	27	-	-	PUNCT
iajs-3805	18	28	making	make	VERB
iajs-3805	18	29	processes	process	NOUN
iajs-3805	18	30	.	.	PUNCT
iajs-3805	19	1	keywords	keyword	NOUN
iajs-3805	19	2	:	:	PUNCT
iajs-3805	19	3	nonparametric	nonparametric	NOUN
iajs-3805	19	4	regression	regression	NOUN
iajs-3805	19	5	,	,	PUNCT
iajs-3805	19	6	nadaraya	nadaraya	NOUN
iajs-3805	19	7	-	-	PUNCT
iajs-3805	19	8	watson	watson	PROPN
iajs-3805	19	9	estimator	estimator	NOUN
iajs-3805	19	10	,	,	PUNCT
iajs-3805	19	11	kernel	kernel	PROPN
iajs-3805	19	12	functions	function	NOUN
iajs-3805	19	13	,	,	PUNCT
iajs-3805	19	14	quadratic	quadratic	ADJ
iajs-3805	19	15	,	,	PUNCT
iajs-3805	19	16	local	local	ADJ
iajs-3805	19	17	polynomial	polynomial	ADJ
iajs-3805	19	18	estimator	estimator	NOUN
iajs-3805	19	19	.	.	PUNCT
iajs-3805	20	1	1	1	NUM
iajs-3805	20	2	.	.	X
iajs-3805	20	3	introduction	introduction	NOUN
iajs-3805	20	4	in	in	ADP
iajs-3805	20	5	1988	1988	NUM
iajs-3805	20	6	,	,	PUNCT
iajs-3805	20	7	[	[	X
iajs-3805	20	8	1	1	X
iajs-3805	20	9	]	]	PUNCT
iajs-3805	20	10	introduced	introduce	VERB
iajs-3805	20	11	and	and	CCONJ
iajs-3805	20	12	studied	study	VERB
iajs-3805	20	13	kernel	kernel	NOUN
iajs-3805	20	14	smoothing	smooth	VERB
iajs-3805	20	15	for	for	ADP
iajs-3805	20	16	estimating	estimate	VERB
iajs-3805	20	17	partial	partial	ADJ
iajs-3805	20	18	linear	linear	NOUN
iajs-3805	20	19	models	model	NOUN
iajs-3805	20	20	,	,	PUNCT
iajs-3805	20	21	[	[	X
iajs-3805	20	22	2	2	NUM
iajs-3805	20	23	]	]	PUNCT
iajs-3805	20	24	conducted	conduct	VERB
iajs-3805	20	25	a	a	DET
iajs-3805	20	26	study	study	NOUN
iajs-3805	20	27	titled	title	VERB
iajs-3805	20	28	"	"	PUNCT
iajs-3805	20	29	a	a	DET
iajs-3805	20	30	comparison	comparison	NOUN
iajs-3805	20	31	of	of	ADP
iajs-3805	20	32	some	some	DET
iajs-3805	20	33	semiparametric	semiparametric	NOUN
iajs-3805	20	34	estimators	estimator	NOUN
iajs-3805	20	35	for	for	ADP
iajs-3805	20	36	consumption	consumption	NOUN
iajs-3805	20	37	function	function	NOUN
iajs-3805	20	38	regression	regression	NOUN
iajs-3805	20	39	"	"	PUNCT
iajs-3805	20	40	.	.	PUNCT
iajs-3805	21	1	in	in	ADP
iajs-3805	21	2	2013	2013	NUM
iajs-3805	21	3	,	,	PUNCT
iajs-3805	21	4	[	[	X
iajs-3805	21	5	3	3	X
iajs-3805	21	6	]	]	PUNCT
iajs-3805	21	7	presented	present	VERB
iajs-3805	21	8	a	a	DET
iajs-3805	21	9	paper	paper	NOUN
iajs-3805	21	10	titled	title	VERB
iajs-3805	21	11	"	"	PUNCT
iajs-3805	21	12	performance	performance	NOUN
iajs-3805	21	13	of	of	ADP
iajs-3805	21	14	nonparametric	nonparametric	ADJ
iajs-3805	21	15	regression	regression	NOUN
iajs-3805	21	16	estimation	estimation	NOUN
iajs-3805	21	17	with	with	ADP
iajs-3805	21	18	diverse	diverse	ADJ
iajs-3805	21	19	covariates	covariate	NOUN
iajs-3805	21	20	pak	pak	PROPN
iajs-3805	21	21	.	.	PUNCT
iajs-3805	21	22	"	"	PUNCT
iajs-3805	22	1	in	in	ADP
iajs-3805	22	2	2014	2014	NUM
iajs-3805	22	3	,	,	PUNCT
iajs-3805	22	4	[	[	X
iajs-3805	22	5	4	4	X
iajs-3805	22	6	]	]	PUNCT
iajs-3805	22	7	introduced	introduce	VERB
iajs-3805	22	8	a	a	DET
iajs-3805	22	9	paper	paper	NOUN
iajs-3805	22	10	comparing	compare	VERB
iajs-3805	22	11	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
iajs-3805	22	12	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
iajs-3805	22	13	https://orcid.org/0009-0004-8147-217x	https://orcid.org/0009-0004-8147-217x	PROPN
iajs-3805	22	14	mailto:rabab.saleh@coadec.uobaghdad.edu.iq	mailto:rabab.saleh@coadec.uobaghdad.edu.iq	PROPN
iajs-3805	22	15	https://orcid.org/0000-0002-6656-7662	https://orcid.org/0000-0002-6656-7662	PROPN
iajs-3805	22	16	mailto:iqbal.alwan@coadec.uobaghdad.edu.iq	mailto:iqbal.alwan@coadec.uobaghdad.edu.iq	PROPN
iajs-3805	22	17	ihjpas	ihjpas	PROPN
iajs-3805	22	18	.	.	PUNCT
iajs-3805	23	1	2024	2024	NUM
iajs-3805	23	2	,	,	PUNCT
iajs-3805	23	3	37(4	37(4	NOUN
iajs-3805	23	4	)	)	PUNCT
iajs-3805	23	5	409	409	NUM
iajs-3805	23	6	semiparametric	semiparametric	NOUN
iajs-3805	23	7	estimators	estimator	NOUN
iajs-3805	23	8	models	model	NOUN
iajs-3805	23	9	using	use	VERB
iajs-3805	23	10	different	different	ADJ
iajs-3805	23	11	smoothing	smoothing	NOUN
iajs-3805	23	12	methods	method	NOUN
iajs-3805	23	13	.	.	PUNCT
iajs-3805	24	1	additionally	additionally	ADV
iajs-3805	24	2	,	,	PUNCT
iajs-3805	24	3	[	[	X
iajs-3805	24	4	5	5	NUM
iajs-3805	24	5	]	]	PUNCT
iajs-3805	24	6	contributed	contribute	VERB
iajs-3805	24	7	to	to	ADP
iajs-3805	24	8	the	the	DET
iajs-3805	24	9	literature	literature	NOUN
iajs-3805	24	10	with	with	ADP
iajs-3805	24	11	a	a	DET
iajs-3805	24	12	paper	paper	NOUN
iajs-3805	24	13	titled	title	VERB
iajs-3805	24	14	"	"	PUNCT
iajs-3805	24	15	hazard	hazard	NOUN
iajs-3805	24	16	rate	rate	NOUN
iajs-3805	24	17	estimation	estimation	NOUN
iajs-3805	24	18	using	use	VERB
iajs-3805	24	19	varying	vary	VERB
iajs-3805	24	20	kernel	kernel	PROPN
iajs-3805	24	21	function	function	NOUN
iajs-3805	24	22	for	for	ADP
iajs-3805	24	23	censored	censored	ADJ
iajs-3805	24	24	data	datum	NOUN
iajs-3805	24	25	type	type	NOUN
iajs-3805	24	26	i.	i.	NOUN
iajs-3805	24	27	"	"	PUNCT
iajs-3805	24	28	.	.	PUNCT
iajs-3805	25	1	in	in	ADP
iajs-3805	25	2	2020	2020	NUM
iajs-3805	25	3	,	,	PUNCT
iajs-3805	25	4	[	[	X
iajs-3805	25	5	6	6	NUM
iajs-3805	25	6	]	]	PUNCT
iajs-3805	25	7	employed	employ	VERB
iajs-3805	25	8	wavelet	wavelet	NOUN
iajs-3805	25	9	and	and	CCONJ
iajs-3805	25	10	kernel	kernel	PROPN
iajs-3805	25	11	smoothers	smoother	NOUN
iajs-3805	25	12	to	to	PART
iajs-3805	25	13	estimate	estimate	VERB
iajs-3805	25	14	stock	stock	NOUN
iajs-3805	25	15	return	return	NOUN
iajs-3805	25	16	rates	rate	NOUN
iajs-3805	25	17	.	.	PUNCT
iajs-3805	26	1	additionally	additionally	ADV
iajs-3805	26	2	,	,	PUNCT
iajs-3805	26	3	in	in	ADP
iajs-3805	26	4	2020	2020	NUM
iajs-3805	26	5	,	,	PUNCT
iajs-3805	26	6	[	[	X
iajs-3805	26	7	7	7	X
iajs-3805	26	8	]	]	PUNCT
iajs-3805	26	9	introduced	introduce	VERB
iajs-3805	26	10	a	a	DET
iajs-3805	26	11	comparison	comparison	NOUN
iajs-3805	26	12	between	between	ADP
iajs-3805	26	13	various	various	ADJ
iajs-3805	26	14	nonparametric	nonparametric	NOUN
iajs-3805	26	15	methods	method	NOUN
iajs-3805	26	16	,	,	PUNCT
iajs-3805	26	17	utilizing	utilize	VERB
iajs-3805	26	18	the	the	DET
iajs-3805	26	19	methodology	methodology	NOUN
iajs-3805	26	20	of	of	ADP
iajs-3805	26	21	quantile	quantile	ADJ
iajs-3805	26	22	regression	regression	NOUN
iajs-3805	26	23	models	model	NOUN
iajs-3805	26	24	.	.	PUNCT
iajs-3805	27	1	in	in	ADP
iajs-3805	27	2	2021	2021	NUM
iajs-3805	27	3	,	,	PUNCT
iajs-3805	27	4	[	[	X
iajs-3805	27	5	8	8	NUM
iajs-3805	27	6	]	]	PUNCT
iajs-3805	27	7	presented	present	VERB
iajs-3805	27	8	a	a	DET
iajs-3805	27	9	paper	paper	NOUN
iajs-3805	27	10	titled	title	VERB
iajs-3805	27	11	'	'	PUNCT
iajs-3805	27	12	estimation	estimation	NOUN
iajs-3805	27	13	of	of	ADP
iajs-3805	27	14	nonparametric	nonparametric	NOUN
iajs-3805	27	15	autoregressive	autoregressive	ADJ
iajs-3805	27	16	curves	curve	NOUN
iajs-3805	27	17	using	use	VERB
iajs-3805	27	18	the	the	DET
iajs-3805	27	19	smoothing	smooth	VERB
iajs-3805	27	20	spline	spline	NOUN
iajs-3805	27	21	method	method	NOUN
iajs-3805	27	22	.	.	PUNCT
iajs-3805	27	23	'	'	PUNCT
iajs-3805	28	1	furthermore	furthermore	ADV
iajs-3805	28	2	,	,	PUNCT
iajs-3805	28	3	in	in	ADP
iajs-3805	28	4	the	the	DET
iajs-3805	28	5	same	same	ADJ
iajs-3805	28	6	year	year	NOUN
iajs-3805	28	7	,	,	PUNCT
iajs-3805	28	8	[	[	X
iajs-3805	28	9	9	9	NUM
iajs-3805	28	10	]	]	PUNCT
iajs-3805	28	11	made	make	VERB
iajs-3805	28	12	their	their	PRON
iajs-3805	28	13	own	own	ADJ
iajs-3805	28	14	introduction	introduction	NOUN
iajs-3805	28	15	.	.	PUNCT
iajs-3805	29	1	(	(	PUNCT
iajs-3805	29	2	linear	linear	INTJ
iajs-3805	29	3	regression	regression	NOUN
iajs-3805	29	4	model	model	NOUN
iajs-3805	29	5	to	to	PART
iajs-3805	29	6	study	study	VERB
iajs-3805	29	7	the	the	DET
iajs-3805	29	8	effects	effect	NOUN
iajs-3805	29	9	of	of	ADP
iajs-3805	29	10	weather	weather	NOUN
iajs-3805	29	11	variables	variable	NOUN
iajs-3805	29	12	)	)	PUNCT
iajs-3805	29	13	in	in	ADP
iajs-3805	29	14	the	the	DET
iajs-3805	29	15	past	past	NOUN
iajs-3805	29	16	,	,	PUNCT
iajs-3805	29	17	numerous	numerous	ADJ
iajs-3805	29	18	researchers	researcher	NOUN
iajs-3805	29	19	have	have	AUX
iajs-3805	29	20	incorporated	incorporate	VERB
iajs-3805	29	21	the	the	DET
iajs-3805	29	22	nadaraya	nadaraya	PROPN
iajs-3805	29	23	-	-	PUNCT
iajs-3805	29	24	watson	watson	NOUN
iajs-3805	29	25	technique	technique	NOUN
iajs-3805	29	26	into	into	ADP
iajs-3805	29	27	their	their	PRON
iajs-3805	29	28	studies	study	NOUN
iajs-3805	29	29	.	.	PUNCT
iajs-3805	30	1	some	some	DET
iajs-3805	30	2	notable	notable	ADJ
iajs-3805	30	3	examples	example	NOUN
iajs-3805	30	4	include	include	VERB
iajs-3805	30	5	[	[	X
iajs-3805	30	6	10	10	NUM
iajs-3805	30	7	-	-	SYM
iajs-3805	30	8	12	12	NUM
iajs-3805	30	9	]	]	PUNCT
iajs-3805	30	10	,	,	PUNCT
iajs-3805	30	11	all	all	PRON
iajs-3805	30	12	of	of	ADP
iajs-3805	30	13	whom	whom	PRON
iajs-3805	30	14	conducted	conduct	VERB
iajs-3805	30	15	research	research	NOUN
iajs-3805	30	16	involving	involve	VERB
iajs-3805	30	17	this	this	DET
iajs-3805	30	18	technique	technique	NOUN
iajs-3805	30	19	.	.	PUNCT
iajs-3805	31	1	regression	regression	NOUN
iajs-3805	31	2	analysis	analysis	NOUN
iajs-3805	31	3	aims	aim	VERB
iajs-3805	31	4	to	to	PART
iajs-3805	31	5	uncover	uncover	VERB
iajs-3805	31	6	the	the	DET
iajs-3805	31	7	relationship	relationship	NOUN
iajs-3805	31	8	between	between	ADP
iajs-3805	31	9	the	the	DET
iajs-3805	31	10	dependent	dependent	ADJ
iajs-3805	31	11	variable	variable	NOUN
iajs-3805	31	12	and	and	CCONJ
iajs-3805	31	13	the	the	DET
iajs-3805	31	14	explanatory	explanatory	ADJ
iajs-3805	31	15	variables	variable	NOUN
iajs-3805	31	16	.	.	PUNCT
iajs-3805	32	1	it	it	PRON
iajs-3805	32	2	involves	involve	VERB
iajs-3805	32	3	incorporating	incorporate	VERB
iajs-3805	32	4	these	these	DET
iajs-3805	32	5	variables	variable	NOUN
iajs-3805	32	6	into	into	ADP
iajs-3805	32	7	a	a	DET
iajs-3805	32	8	mathematical	mathematical	ADJ
iajs-3805	32	9	model	model	NOUN
iajs-3805	32	10	to	to	PART
iajs-3805	32	11	predict	predict	VERB
iajs-3805	32	12	future	future	ADJ
iajs-3805	32	13	values	value	NOUN
iajs-3805	32	14	of	of	ADP
iajs-3805	32	15	the	the	DET
iajs-3805	32	16	dependent	dependent	ADJ
iajs-3805	32	17	variable	variable	NOUN
iajs-3805	32	18	.	.	PUNCT
iajs-3805	33	1	regression	regression	NOUN
iajs-3805	33	2	models	model	NOUN
iajs-3805	33	3	can	can	AUX
iajs-3805	33	4	be	be	AUX
iajs-3805	33	5	categorized	categorize	VERB
iajs-3805	33	6	into	into	ADP
iajs-3805	33	7	three	three	NUM
iajs-3805	33	8	types	type	NOUN
iajs-3805	33	9	:	:	PUNCT
iajs-3805	33	10	the	the	DET
iajs-3805	33	11	first	first	ADJ
iajs-3805	33	12	model	model	NOUN
iajs-3805	33	13	is	be	AUX
iajs-3805	33	14	a	a	DET
iajs-3805	33	15	parametric	parametric	ADJ
iajs-3805	33	16	regression	regression	NOUN
iajs-3805	33	17	model	model	NOUN
iajs-3805	33	18	,	,	PUNCT
iajs-3805	33	19	which	which	PRON
iajs-3805	33	20	requires	require	VERB
iajs-3805	33	21	knowledge	knowledge	NOUN
iajs-3805	33	22	of	of	ADP
iajs-3805	33	23	the	the	DET
iajs-3805	33	24	distribution	distribution	NOUN
iajs-3805	33	25	and	and	CCONJ
iajs-3805	33	26	has	have	VERB
iajs-3805	33	27	assumptions	assumption	NOUN
iajs-3805	33	28	and	and	CCONJ
iajs-3805	33	29	limitations	limitation	NOUN
iajs-3805	33	30	[	[	X
iajs-3805	33	31	13	13	NUM
iajs-3805	33	32	]	]	PUNCT
iajs-3805	33	33	.	.	PUNCT
iajs-3805	34	1	the	the	DET
iajs-3805	34	2	second	second	ADJ
iajs-3805	34	3	model	model	NOUN
iajs-3805	34	4	is	be	AUX
iajs-3805	34	5	when	when	SCONJ
iajs-3805	34	6	data	datum	NOUN
iajs-3805	34	7	analysis	analysis	NOUN
iajs-3805	34	8	is	be	AUX
iajs-3805	34	9	challenging	challenge	VERB
iajs-3805	34	10	in	in	ADP
iajs-3805	34	11	this	this	DET
iajs-3805	34	12	model	model	NOUN
iajs-3805	34	13	,	,	PUNCT
iajs-3805	34	14	we	we	PRON
iajs-3805	34	15	use	use	VERB
iajs-3805	34	16	the	the	DET
iajs-3805	34	17	non	non	ADJ
iajs-3805	34	18	-	-	ADJ
iajs-3805	34	19	parametric	parametric	ADJ
iajs-3805	34	20	regression	regression	NOUN
iajs-3805	34	21	models	model	NOUN
iajs-3805	34	22	,	,	PUNCT
iajs-3805	34	23	which	which	PRON
iajs-3805	34	24	offer	offer	VERB
iajs-3805	34	25	greater	great	ADJ
iajs-3805	34	26	flexibility	flexibility	NOUN
iajs-3805	34	27	for	for	ADP
iajs-3805	34	28	analyzing	analyze	VERB
iajs-3805	34	29	variable	variable	ADJ
iajs-3805	34	30	relationships	relationship	NOUN
iajs-3805	34	31	,	,	PUNCT
iajs-3805	34	32	do	do	AUX
iajs-3805	34	33	not	not	PART
iajs-3805	34	34	require	require	VERB
iajs-3805	34	35	knowledge	knowledge	NOUN
iajs-3805	34	36	of	of	ADP
iajs-3805	34	37	the	the	DET
iajs-3805	34	38	distribution	distribution	NOUN
iajs-3805	34	39	,	,	PUNCT
iajs-3805	34	40	and	and	CCONJ
iajs-3805	34	41	do	do	AUX
iajs-3805	34	42	not	not	PART
iajs-3805	34	43	necessitate	necessitate	ADJ
iajs-3805	34	44	restrictions	restriction	NOUN
iajs-3805	34	45	or	or	CCONJ
iajs-3805	34	46	special	special	ADJ
iajs-3805	34	47	conditions	condition	NOUN
iajs-3805	34	48	as	as	ADP
iajs-3805	34	49	in	in	ADP
iajs-3805	34	50	parametric	parametric	ADJ
iajs-3805	34	51	models	model	NOUN
iajs-3805	34	52	.	.	PUNCT
iajs-3805	35	1	this	this	DET
iajs-3805	35	2	flexibility	flexibility	NOUN
iajs-3805	35	3	makes	make	VERB
iajs-3805	35	4	nonparametric	nonparametric	NOUN
iajs-3805	35	5	models	model	NOUN
iajs-3805	35	6	attractive	attractive	ADJ
iajs-3805	35	7	to	to	ADP
iajs-3805	35	8	many	many	ADJ
iajs-3805	35	9	researchers	researcher	NOUN
iajs-3805	35	10	.	.	PUNCT
iajs-3805	36	1	however	however	ADV
iajs-3805	36	2	,	,	PUNCT
iajs-3805	36	3	they	they	PRON
iajs-3805	36	4	are	be	AUX
iajs-3805	36	5	susceptible	susceptible	ADJ
iajs-3805	36	6	to	to	ADP
iajs-3805	36	7	the	the	DET
iajs-3805	36	8	problem	problem	NOUN
iajs-3805	36	9	of	of	ADP
iajs-3805	36	10	the	the	DET
iajs-3805	36	11	curse	curse	NOUN
iajs-3805	36	12	of	of	ADP
iajs-3805	36	13	dimensionality	dimensionality	NOUN
iajs-3805	36	14	,	,	PUNCT
iajs-3805	36	15	which	which	PRON
iajs-3805	36	16	arises	arise	VERB
iajs-3805	36	17	when	when	SCONJ
iajs-3805	36	18	the	the	DET
iajs-3805	36	19	number	number	NOUN
iajs-3805	36	20	of	of	ADP
iajs-3805	36	21	variables	variable	NOUN
iajs-3805	36	22	increases	increase	NOUN
iajs-3805	36	23	.	.	PUNCT
iajs-3805	37	1	the	the	DET
iajs-3805	37	2	last	last	ADJ
iajs-3805	37	3	model	model	NOUN
iajs-3805	37	4	combines	combine	VERB
iajs-3805	37	5	both	both	CCONJ
iajs-3805	37	6	parametric	parametric	ADJ
iajs-3805	37	7	and	and	CCONJ
iajs-3805	37	8	non	non	ADJ
iajs-3805	37	9	-	-	ADJ
iajs-3805	37	10	parametric	parametric	ADJ
iajs-3805	37	11	elements	element	NOUN
iajs-3805	37	12	[	[	X
iajs-3805	37	13	14,13	14,13	NUM
iajs-3805	37	14	]	]	PUNCT
iajs-3805	37	15	.	.	PUNCT
iajs-3805	38	1	the	the	DET
iajs-3805	38	2	objective	objective	NOUN
iajs-3805	38	3	of	of	ADP
iajs-3805	38	4	this	this	DET
iajs-3805	38	5	study	study	NOUN
iajs-3805	38	6	is	be	AUX
iajs-3805	38	7	to	to	PART
iajs-3805	38	8	compare	compare	VERB
iajs-3805	38	9	non	non	ADJ
iajs-3805	38	10	-	-	ADJ
iajs-3805	38	11	parametric	parametric	ADJ
iajs-3805	38	12	estimators	estimator	NOUN
iajs-3805	38	13	,	,	PUNCT
iajs-3805	38	14	including	include	VERB
iajs-3805	38	15	nadaraya	nadaraya	NOUN
iajs-3805	38	16	-	-	PUNCT
iajs-3805	38	17	watson	watson	NOUN
iajs-3805	38	18	and	and	CCONJ
iajs-3805	38	19	local	local	ADJ
iajs-3805	38	20	linear	linear	ADJ
iajs-3805	38	21	,	,	PUNCT
iajs-3805	38	22	quadratic	quadratic	ADJ
iajs-3805	38	23	,	,	PUNCT
iajs-3805	38	24	and	and	CCONJ
iajs-3805	38	25	cubic	cubic	ADJ
iajs-3805	38	26	estimators	estimator	NOUN
iajs-3805	38	27	,	,	PUNCT
iajs-3805	38	28	using	use	VERB
iajs-3805	38	29	multiple	multiple	ADJ
iajs-3805	38	30	kernel	kernel	NOUN
iajs-3805	38	31	functions	function	NOUN
iajs-3805	38	32	(	(	PUNCT
iajs-3805	38	33	geutq	geutq	ADJ
iajs-3805	38	34	)	)	PUNCT
iajs-3805	38	35	.	.	PUNCT
iajs-3805	39	1	we	we	PRON
iajs-3805	39	2	employed	employ	VERB
iajs-3805	39	3	monte	monte	PROPN
iajs-3805	39	4	carlo	carlo	PROPN
iajs-3805	39	5	simulation	simulation	PROPN
iajs-3805	39	6	to	to	PART
iajs-3805	39	7	identify	identify	VERB
iajs-3805	39	8	the	the	DET
iajs-3805	39	9	best	good	ADJ
iajs-3805	39	10	estimator	estimator	NOUN
iajs-3805	39	11	based	base	VERB
iajs-3805	39	12	on	on	ADP
iajs-3805	39	13	mean	mean	ADJ
iajs-3805	39	14	absolute	absolute	ADJ
iajs-3805	39	15	percentage	percentage	NOUN
iajs-3805	39	16	errors	error	NOUN
iajs-3805	39	17	(	(	PUNCT
iajs-3805	39	18	mape	mape	NOUN
iajs-3805	39	19	)	)	PUNCT
iajs-3805	39	20	.	.	PUNCT
iajs-3805	40	1	simulation	simulation	NOUN
iajs-3805	40	2	results	result	NOUN
iajs-3805	40	3	have	have	AUX
iajs-3805	40	4	demonstrated	demonstrate	VERB
iajs-3805	40	5	that	that	SCONJ
iajs-3805	40	6	the	the	DET
iajs-3805	40	7	lp1	lp1	PROPN
iajs-3805	40	8	estimator	estimator	NOUN
iajs-3805	40	9	for	for	ADP
iajs-3805	40	10	the	the	DET
iajs-3805	40	11	quartic	quartic	ADJ
iajs-3805	40	12	(	(	PUNCT
iajs-3805	40	13	q	q	NOUN
iajs-3805	40	14	)	)	PUNCT
iajs-3805	40	15	function	function	NOUN
iajs-3805	40	16	consistently	consistently	ADV
iajs-3805	40	17	outperforms	outperform	VERB
iajs-3805	40	18	other	other	ADJ
iajs-3805	40	19	estimators	estimator	NOUN
iajs-3805	40	20	across	across	ADP
iajs-3805	40	21	various	various	ADJ
iajs-3805	40	22	sample	sample	NOUN
iajs-3805	40	23	sizes	size	NOUN
iajs-3805	40	24	and	and	CCONJ
iajs-3805	40	25	models	model	NOUN
iajs-3805	40	26	.	.	PUNCT
iajs-3805	41	1	section	section	NOUN
iajs-3805	41	2	2	2	NUM
iajs-3805	41	3	provides	provide	VERB
iajs-3805	41	4	the	the	DET
iajs-3805	41	5	theoretical	theoretical	ADJ
iajs-3805	41	6	foundation	foundation	NOUN
iajs-3805	41	7	,	,	PUNCT
iajs-3805	41	8	encompassing	encompass	VERB
iajs-3805	41	9	methods	method	NOUN
iajs-3805	41	10	for	for	ADP
iajs-3805	41	11	estimating	estimate	VERB
iajs-3805	41	12	nonparametric	nonparametric	ADJ
iajs-3805	41	13	regression	regression	NOUN
iajs-3805	41	14	models	model	NOUN
iajs-3805	41	15	,	,	PUNCT
iajs-3805	41	16	kernel	kernel	PROPN
iajs-3805	41	17	functions	function	NOUN
iajs-3805	41	18	,	,	PUNCT
iajs-3805	41	19	the	the	DET
iajs-3805	41	20	local	local	ADJ
iajs-3805	41	21	polynomial	polynomial	ADJ
iajs-3805	41	22	regression	regression	NOUN
iajs-3805	41	23	estimator	estimator	NOUN
iajs-3805	41	24	,	,	PUNCT
iajs-3805	41	25	and	and	CCONJ
iajs-3805	41	26	bandwidth	bandwidth	ADJ
iajs-3805	41	27	.	.	PUNCT
iajs-3805	42	1	section	section	NOUN
iajs-3805	42	2	3	3	NUM
iajs-3805	42	3	we	we	PRON
iajs-3805	42	4	studied	study	VERB
iajs-3805	42	5	five	five	NUM
iajs-3805	42	6	of	of	ADP
iajs-3805	42	7	the	the	DET
iajs-3805	42	8	kernel	kernel	PROPN
iajs-3805	42	9	functions	function	NOUN
iajs-3805	42	10	.	.	PUNCT
iajs-3805	43	1	section	section	NOUN
iajs-3805	43	2	4	4	NUM
iajs-3805	43	3	presents	present	VERB
iajs-3805	43	4	the	the	DET
iajs-3805	43	5	results	result	NOUN
iajs-3805	43	6	of	of	ADP
iajs-3805	43	7	our	our	PRON
iajs-3805	43	8	simulation	simulation	NOUN
iajs-3805	43	9	study	study	NOUN
iajs-3805	43	10	,	,	PUNCT
iajs-3805	43	11	conducted	conduct	VERB
iajs-3805	43	12	using	use	VERB
iajs-3805	43	13	matlab	matlab	PROPN
iajs-3805	43	14	19	19	NUM
iajs-3805	43	15	.	.	PUNCT
iajs-3805	44	1	in	in	ADP
iajs-3805	44	2	section	section	NOUN
iajs-3805	44	3	5	5	NUM
iajs-3805	44	4	,	,	PUNCT
iajs-3805	44	5	we	we	PRON
iajs-3805	44	6	present	present	VERB
iajs-3805	44	7	the	the	DET
iajs-3805	44	8	results	result	NOUN
iajs-3805	44	9	and	and	CCONJ
iajs-3805	44	10	engage	engage	VERB
iajs-3805	44	11	in	in	ADP
iajs-3805	44	12	discussion	discussion	NOUN
iajs-3805	44	13	.	.	PUNCT
iajs-3805	45	1	section	section	NOUN
iajs-3805	45	2	6	6	NUM
iajs-3805	45	3	summarizes	summarize	NOUN
iajs-3805	45	4	the	the	DET
iajs-3805	45	5	key	key	ADJ
iajs-3805	45	6	findings	finding	NOUN
iajs-3805	45	7	of	of	ADP
iajs-3805	45	8	this	this	DET
iajs-3805	45	9	study	study	NOUN
iajs-3805	45	10	,	,	PUNCT
iajs-3805	45	11	and	and	CCONJ
iajs-3805	45	12	section	section	NOUN
iajs-3805	45	13	7	7	NUM
iajs-3805	45	14	offers	offer	VERB
iajs-3805	45	15	recommendations	recommendation	NOUN
iajs-3805	45	16	for	for	ADP
iajs-3805	45	17	future	future	ADJ
iajs-3805	45	18	research	research	NOUN
iajs-3805	45	19	.	.	PUNCT
iajs-3805	46	1	2	2	X
iajs-3805	46	2	.	.	X
iajs-3805	46	3	methods	method	NOUN
iajs-3805	46	4	for	for	ADP
iajs-3805	46	5	estimating	estimate	VERB
iajs-3805	46	6	non	non	ADJ
iajs-3805	46	7	-	-	ADJ
iajs-3805	46	8	parametric	parametric	ADJ
iajs-3805	46	9	regression	regression	NOUN
iajs-3805	46	10	models	model	NOUN
iajs-3805	46	11	non	non	ADJ
iajs-3805	46	12	-	-	ADJ
iajs-3805	46	13	parametric	parametric	ADJ
iajs-3805	46	14	regression	regression	NOUN
iajs-3805	46	15	,	,	PUNCT
iajs-3805	46	16	initially	initially	ADV
iajs-3805	46	17	proposed	propose	VERB
iajs-3805	46	18	by	by	ADP
iajs-3805	46	19	researcher	researcher	PROPN
iajs-3805	46	20	jacob	jacob	PROPN
iajs-3805	46	21	wolfowib	wolfowib	PROPN
iajs-3805	46	22	in	in	ADP
iajs-3805	46	23	1942	1942	NUM
iajs-3805	46	24	,	,	PUNCT
iajs-3805	46	25	focuses	focus	VERB
iajs-3805	46	26	on	on	ADP
iajs-3805	46	27	estimating	estimate	VERB
iajs-3805	46	28	the	the	DET
iajs-3805	46	29	curve	curve	NOUN
iajs-3805	46	30	of	of	ADP
iajs-3805	46	31	the	the	DET
iajs-3805	46	32	regression	regression	NOUN
iajs-3805	46	33	function	function	NOUN
iajs-3805	46	34	rather	rather	ADV
iajs-3805	46	35	than	than	ADP
iajs-3805	46	36	estimating	estimate	VERB
iajs-3805	46	37	specific	specific	ADJ
iajs-3805	46	38	parameters	parameter	NOUN
iajs-3805	46	39	.	.	PUNCT
iajs-3805	47	1	this	this	PRON
iajs-3805	47	2	is	be	AUX
iajs-3805	47	3	achieved	achieve	VERB
iajs-3805	47	4	through	through	ADP
iajs-3805	47	5	the	the	DET
iajs-3805	47	6	application	application	NOUN
iajs-3805	47	7	of	of	ADP
iajs-3805	47	8	non	non	ADJ
iajs-3805	47	9	-	-	ADJ
iajs-3805	47	10	parametric	parametric	ADJ
iajs-3805	47	11	regression	regression	NOUN
iajs-3805	47	12	functions	function	NOUN
iajs-3805	47	13	,	,	PUNCT
iajs-3805	47	14	ultimately	ultimately	ADV
iajs-3805	47	15	leading	lead	VERB
iajs-3805	47	16	to	to	ADP
iajs-3805	47	17	the	the	DET
iajs-3805	47	18	identification	identification	NOUN
iajs-3805	47	19	of	of	ADP
iajs-3805	47	20	the	the	DET
iajs-3805	47	21	most	most	ADV
iajs-3805	47	22	suitable	suitable	ADJ
iajs-3805	47	23	method	method	NOUN
iajs-3805	47	24	for	for	ADP
iajs-3805	47	25	non	non	ADJ
iajs-3805	47	26	-	-	ADJ
iajs-3805	47	27	parametric	parametric	ADJ
iajs-3805	47	28	regression	regression	NOUN
iajs-3805	47	29	models	model	NOUN
iajs-3805	47	30	[	[	X
iajs-3805	47	31	8	8	NUM
iajs-3805	47	32	]	]	PUNCT
iajs-3805	47	33	.	.	PUNCT
iajs-3805	48	1	(	(	PUNCT
iajs-3805	48	2	)	)	PUNCT
iajs-3805	49	1	+	+	CCONJ
iajs-3805	49	2	iy	iy	INTJ
iajs-3805	50	1	i	i	PRON
iajs-3805	50	2	m	m	VERB
iajs-3805	50	3	xi	xi	ADP
iajs-3805	50	4	=	=	NOUN
iajs-3805	50	5	(	(	PUNCT
iajs-3805	50	6	1	1	NUM
iajs-3805	50	7	)	)	PUNCT
iajs-3805	50	8	where	where	SCONJ
iajs-3805	50	9	i	i	PRON
iajs-3805	50	10	=	=	NOUN
iajs-3805	50	11	1	1	NUM
iajs-3805	50	12	,	,	PUNCT
iajs-3805	50	13	2	2	NUM
iajs-3805	50	14	,	,	PUNCT
iajs-3805	50	15	…	…	PUNCT
iajs-3805	50	16	,	,	PUNCT
iajs-3805	50	17	n	n	PRON
iajs-3805	50	18	yi	yi	PROPN
iajs-3805	50	19	is	be	AUX
iajs-3805	50	20	the	the	DET
iajs-3805	50	21	variable	variable	NOUN
iajs-3805	50	22	of	of	ADP
iajs-3805	50	23	interest	interest	NOUN
iajs-3805	50	24	,	,	PUNCT
iajs-3805	50	25	m(xi	m(xi	PROPN
iajs-3805	50	26	)	)	PUNCT
iajs-3805	50	27	is	be	AUX
iajs-3805	50	28	an	an	DET
iajs-3805	50	29	unknown	unknown	ADJ
iajs-3805	50	30	function	function	NOUN
iajs-3805	50	31	to	to	PART
iajs-3805	50	32	be	be	AUX
iajs-3805	50	33	determined	determine	VERB
iajs-3805	50	34	using	use	VERB
iajs-3805	50	35	sample	sample	NOUN
iajs-3805	50	36	data	datum	NOUN
iajs-3805	50	37	ei	ei	NOUN
iajs-3805	50	38	is	be	AUX
iajs-3805	50	39	an	an	DET
iajs-3805	50	40	error	error	NOUN
iajs-3805	50	41	term	term	NOUN
iajs-3805	50	42	assumed	assume	VERB
iajs-3805	50	43	to	to	PART
iajs-3805	50	44	be	be	AUX
iajs-3805	50	45	n	n	PRON
iajs-3805	50	46	(	(	PUNCT
iajs-3805	50	47	0	0	NUM
iajs-3805	50	48	,	,	PUNCT
iajs-3805	50	49	𝜎2	𝜎2	NOUN
iajs-3805	50	50	)	)	PUNCT
iajs-3805	50	51	under	under	ADP
iajs-3805	50	52	the	the	DET
iajs-3805	50	53	model.[16	model.[16	PROPN
iajs-3805	50	54	]	]	PUNCT
iajs-3805	50	55	the	the	DET
iajs-3805	50	56	methodology	methodology	NOUN
iajs-3805	50	57	of	of	ADP
iajs-3805	50	58	estimating	estimate	VERB
iajs-3805	50	59	non	non	ADJ
iajs-3805	50	60	-	-	ADJ
iajs-3805	50	61	parametric	parametric	ADJ
iajs-3805	50	62	regression	regression	NOUN
iajs-3805	50	63	models	model	NOUN
iajs-3805	50	64	is	be	AUX
iajs-3805	50	65	widely	widely	ADV
iajs-3805	50	66	employed	employ	VERB
iajs-3805	50	67	to	to	PART
iajs-3805	50	68	determine	determine	VERB
iajs-3805	50	69	the	the	DET
iajs-3805	50	70	average	average	ADJ
iajs-3805	50	71	treatment	treatment	NOUN
iajs-3805	50	72	effect	effect	NOUN
iajs-3805	50	73	when	when	SCONJ
iajs-3805	50	74	implementing	implement	VERB
iajs-3805	50	75	regression	regression	NOUN
iajs-3805	50	76	discontinuity	discontinuity	NOUN
iajs-3805	50	77	designs	design	NOUN
iajs-3805	50	78	.	.	PUNCT
iajs-3805	51	1	ihjpas	ihjpas	PROPN
iajs-3805	51	2	.	.	PUNCT
iajs-3805	52	1	2024	2024	NUM
iajs-3805	52	2	,	,	PUNCT
iajs-3805	52	3	37(4	37(4	NOUN
iajs-3805	52	4	)	)	PUNCT
iajs-3805	52	5	410	410	NUM
iajs-3805	52	6	instead	instead	ADV
iajs-3805	52	7	of	of	ADP
iajs-3805	52	8	simply	simply	ADV
iajs-3805	52	9	calculating	calculate	VERB
iajs-3805	52	10	averages	average	NOUN
iajs-3805	52	11	,	,	PUNCT
iajs-3805	52	12	this	this	DET
iajs-3805	52	13	method	method	NOUN
iajs-3805	52	14	helps	help	VERB
iajs-3805	52	15	reduce	reduce	VERB
iajs-3805	52	16	bias	bias	NOUN
iajs-3805	52	17	,	,	PUNCT
iajs-3805	52	18	and	and	CCONJ
iajs-3805	52	19	any	any	DET
iajs-3805	52	20	remaining	remain	VERB
iajs-3805	52	21	bias	bias	NOUN
iajs-3805	52	22	can	can	AUX
iajs-3805	52	23	be	be	AUX
iajs-3805	52	24	treated	treat	VERB
iajs-3805	52	25	as	as	ADP
iajs-3805	52	26	normal	normal	ADJ
iajs-3805	52	27	[	[	X
iajs-3805	52	28	17,18	17,18	NUM
iajs-3805	52	29	]	]	X
iajs-3805	52	30	.	.	PUNCT
iajs-3805	53	1	for	for	ADP
iajs-3805	53	2	a	a	DET
iajs-3805	53	3	more	more	ADJ
iajs-3805	53	4	in	in	ADP
iajs-3805	53	5	-	-	PUNCT
iajs-3805	53	6	depth	depth	NOUN
iajs-3805	53	7	exploration	exploration	NOUN
iajs-3805	53	8	of	of	ADP
iajs-3805	53	9	non	non	ADJ
iajs-3805	53	10	-	-	ADJ
iajs-3805	53	11	parametric	parametric	ADJ
iajs-3805	53	12	regression	regression	NOUN
iajs-3805	53	13	,	,	PUNCT
iajs-3805	53	14	refer	refer	VERB
iajs-3805	53	15	to	to	ADP
iajs-3805	53	16	the	the	DET
iajs-3805	53	17	works	work	NOUN
iajs-3805	53	18	of	of	ADP
iajs-3805	53	19	some´[19	some´[19	NOUN
iajs-3805	53	20	-	-	SYM
iajs-3805	53	21	32	32	NUM
iajs-3805	53	22	]	]	PUNCT
iajs-3805	53	23	,	,	PUNCT
iajs-3805	53	24	among	among	ADP
iajs-3805	53	25	others	other	NOUN
iajs-3805	53	26	.	.	PUNCT
iajs-3805	54	1	kernel	kernel	PROPN
iajs-3805	54	2	function	function	PROPN
iajs-3805	54	3	(	(	PUNCT
iajs-3805	54	4	nadaraya	nadaraya	NOUN
iajs-3805	54	5	-	-	PUNCT
iajs-3805	54	6	watsonestimator	watsonestimator	NOUN
iajs-3805	54	7	nw	nw	PROPN
iajs-3805	54	8	)	)	PUNCT
iajs-3805	54	9	in	in	ADP
iajs-3805	54	10	1988	1988	NUM
iajs-3805	54	11	,	,	PUNCT
iajs-3805	54	12	robinson	robinson	PROPN
iajs-3805	54	13	constructed	construct	VERB
iajs-3805	54	14	an	an	DET
iajs-3805	54	15	estimate	estimate	NOUN
iajs-3805	54	16	of	of	ADP
iajs-3805	54	17	the	the	DET
iajs-3805	54	18	non	non	ADJ
iajs-3805	54	19	-	-	ADJ
iajs-3805	54	20	parametric	parametric	ADJ
iajs-3805	54	21	component	component	NOUN
iajs-3805	54	22	using	use	VERB
iajs-3805	54	23	the	the	DET
iajs-3805	54	24	least	least	ADJ
iajs-3805	54	25	squares	square	NOUN
iajs-3805	54	26	method	method	NOUN
iajs-3805	54	27	in	in	ADP
iajs-3805	54	28	conjunction	conjunction	NOUN
iajs-3805	54	29	with	with	ADP
iajs-3805	54	30	the	the	DET
iajs-3805	54	31	nadaraya	nadaraya	PROPN
iajs-3805	54	32	-	-	PUNCT
iajs-3805	54	33	watson	watson	NOUN
iajs-3805	54	34	estimator	estimator	NOUN
iajs-3805	54	35	.	.	PUNCT
iajs-3805	55	1	subsequently	subsequently	ADV
iajs-3805	55	2	,	,	PUNCT
iajs-3805	55	3	in	in	ADP
iajs-3805	55	4	1997	1997	NUM
iajs-3805	55	5	,	,	PUNCT
iajs-3805	55	6	hamilton	hamilton	PROPN
iajs-3805	55	7	,	,	PUNCT
iajs-3805	55	8	genentech	genentech	NOUN
iajs-3805	55	9	,	,	PUNCT
iajs-3805	55	10	and	and	CCONJ
iajs-3805	55	11	truong	truong	PROPN
iajs-3805	55	12	applied	apply	VERB
iajs-3805	55	13	the	the	DET
iajs-3805	55	14	local	local	ADJ
iajs-3805	55	15	linear	linear	NOUN
iajs-3805	55	16	smoother	smooth	ADJ
iajs-3805	55	17	,	,	PUNCT
iajs-3805	55	18	which	which	PRON
iajs-3805	55	19	is	be	AUX
iajs-3805	55	20	based	base	VERB
iajs-3805	55	21	on	on	ADP
iajs-3805	55	22	the	the	DET
iajs-3805	55	23	speckman	speckman	NOUN
iajs-3805	55	24	method	method	NOUN
iajs-3805	55	25	[	[	X
iajs-3805	55	26	33	33	NUM
iajs-3805	55	27	]	]	PUNCT
iajs-3805	55	28	.	.	PUNCT
iajs-3805	56	1	partial	partial	ADJ
iajs-3805	56	2	linear	linear	PROPN
iajs-3805	56	3	model	model	NOUN
iajs-3805	56	4	definition	definition	NOUN
iajs-3805	56	5	:	:	PUNCT
iajs-3805	56	6	the	the	DET
iajs-3805	56	7	partial	partial	ADJ
iajs-3805	56	8	linear	linear	NOUN
iajs-3805	56	9	model	model	NOUN
iajs-3805	56	10	encompasses	encompass	VERB
iajs-3805	56	11	two	two	NUM
iajs-3805	56	12	types	type	NOUN
iajs-3805	56	13	of	of	ADP
iajs-3805	56	14	nadaraya	nadaraya	NOUN
iajs-3805	56	15	-	-	PUNCT
iajs-3805	56	16	watson	watson	NOUN
iajs-3805	56	17	estimators	estimator	NOUN
iajs-3805	56	18	.	.	PUNCT
iajs-3805	57	1	the	the	DET
iajs-3805	57	2	first	first	ADJ
iajs-3805	57	3	type	type	NOUN
iajs-3805	57	4	employs	employ	VERB
iajs-3805	57	5	nadaraya	nadaraya	NOUN
iajs-3805	57	6	and	and	CCONJ
iajs-3805	57	7	watson	watson	NOUN
iajs-3805	57	8	with	with	ADP
iajs-3805	57	9	a	a	DET
iajs-3805	57	10	fixed	fix	VERB
iajs-3805	57	11	smoothing	smoothing	NOUN
iajs-3805	57	12	parameter	parameter	NOUN
iajs-3805	57	13	.	.	PUNCT
iajs-3805	58	1	this	this	DET
iajs-3805	58	2	estimator	estimator	NOUN
iajs-3805	58	3	is	be	AUX
iajs-3805	58	4	among	among	ADP
iajs-3805	58	5	the	the	DET
iajs-3805	58	6	most	most	ADV
iajs-3805	58	7	widely	widely	ADV
iajs-3805	58	8	used	use	VERB
iajs-3805	58	9	nonparametric	nonparametric	NOUN
iajs-3805	58	10	regression	regression	NOUN
iajs-3805	58	11	estimators	estimator	NOUN
iajs-3805	58	12	.	.	PUNCT
iajs-3805	59	1	it	it	PRON
iajs-3805	59	2	is	be	AUX
iajs-3805	59	3	also	also	ADV
iajs-3805	59	4	known	know	VERB
iajs-3805	59	5	for	for	ADP
iajs-3805	59	6	utilizing	utilize	VERB
iajs-3805	59	7	a	a	DET
iajs-3805	59	8	fixed	fix	VERB
iajs-3805	59	9	smoothing	smoothing	NOUN
iajs-3805	59	10	parameter	parameter	NOUN
iajs-3805	59	11	.	.	PUNCT
iajs-3805	60	1	an	an	DET
iajs-3805	60	2	essential	essential	ADJ
iajs-3805	60	3	characteristic	characteristic	NOUN
iajs-3805	60	4	of	of	ADP
iajs-3805	60	5	this	this	DET
iajs-3805	60	6	estimator	estimator	NOUN
iajs-3805	60	7	is	be	AUX
iajs-3805	60	8	its	its	PRON
iajs-3805	60	9	ability	ability	NOUN
iajs-3805	60	10	to	to	PART
iajs-3805	60	11	provide	provide	VERB
iajs-3805	60	12	a	a	DET
iajs-3805	60	13	continuous	continuous	ADJ
iajs-3805	60	14	estimate	estimate	NOUN
iajs-3805	60	15	of	of	ADP
iajs-3805	60	16	the	the	DET
iajs-3805	60	17	regression	regression	NOUN
iajs-3805	60	18	when	when	SCONJ
iajs-3805	60	19	a	a	DET
iajs-3805	60	20	continuous	continuous	ADJ
iajs-3805	60	21	kernel	kernel	NOUN
iajs-3805	60	22	function	function	NOUN
iajs-3805	60	23	is	be	AUX
iajs-3805	60	24	used	use	VERB
iajs-3805	60	25	.	.	PUNCT
iajs-3805	61	1	the	the	DET
iajs-3805	61	2	mathematical	mathematical	ADJ
iajs-3805	61	3	representation	representation	NOUN
iajs-3805	61	4	of	of	ADP
iajs-3805	61	5	this	this	DET
iajs-3805	61	6	estimator	estimator	NOUN
iajs-3805	61	7	is	be	AUX
iajs-3805	61	8	as	as	SCONJ
iajs-3805	61	9	follows	follow	VERB
iajs-3805	61	10	[	[	X
iajs-3805	61	11	22	22	NUM
iajs-3805	61	12	]	]	PUNCT
iajs-3805	61	13	.	.	PUNCT
iajs-3805	62	1	�	�	PROPN
iajs-3805	62	2	̑	̑	PROPN
iajs-3805	62	3	�	�	PROPN
iajs-3805	62	4	𝐹(𝑥	𝐹(𝑥	NUM
iajs-3805	62	5	)	)	PUNCT
iajs-3805	62	6	=	=	SYM
iajs-3805	62	7	∑	∑	PUNCT
iajs-3805	62	8	𝐾	𝐾	PROPN
iajs-3805	62	9	(	(	PUNCT
iajs-3805	62	10	𝑋	𝑋	PROPN
iajs-3805	62	11	−	−	PROPN
iajs-3805	62	12	𝑥	𝑥	NOUN
iajs-3805	62	13	ℎ	ℎ	PROPN
iajs-3805	62	14	)	)	PUNCT
iajs-3805	63	1	𝑌𝑖	𝑌𝑖	NUM
iajs-3805	63	2	𝑛	𝑛	PRON
iajs-3805	63	3	𝑖=1	𝑖=1	PUNCT
iajs-3805	63	4	∑	∑	PUNCT
iajs-3805	63	5	𝐾	𝐾	PROPN
iajs-3805	63	6	(	(	PUNCT
iajs-3805	63	7	𝑋	𝑋	PROPN
iajs-3805	63	8	−	−	PROPN
iajs-3805	63	9	𝑥	𝑥	NOUN
iajs-3805	63	10	ℎ	ℎ	PROPN
iajs-3805	63	11	)	)	PUNCT
iajs-3805	63	12	𝑛	𝑛	PRON
iajs-3805	63	13	𝑖=1	𝑖=1	PUNCT
iajs-3805	63	14	=	=	SYM
iajs-3805	63	15	1	1	NUM
iajs-3805	63	16	𝑛	𝑛	PRON
iajs-3805	63	17	∑	∑	PROPN
iajs-3805	63	18	[	[	PUNCT
iajs-3805	63	19	𝐾ℎ(𝑥𝑖	𝐾ℎ(𝑥𝑖	X
iajs-3805	63	20	)	)	PUNCT
iajs-3805	63	21	(	(	PUNCT
iajs-3805	63	22	𝑋𝑖	𝑋𝑖	PROPN
iajs-3805	63	23	−	−	PROPN
iajs-3805	63	24	𝑥	𝑥	NOUN
iajs-3805	63	25	)	)	PUNCT
iajs-3805	63	26	𝑛−1𝐾ℎ(𝑥𝑖	𝑛−1𝐾ℎ(𝑥𝑖	PROPN
iajs-3805	63	27	)	)	PUNCT
iajs-3805	63	28	(	(	PUNCT
iajs-3805	63	29	𝑋𝑖	𝑋𝑖	PROPN
iajs-3805	63	30	−	−	PROPN
iajs-3805	63	31	𝑥	𝑥	NOUN
iajs-3805	63	32	)	)	PUNCT
iajs-3805	63	33	]	]	PUNCT
iajs-3805	64	1	𝑛	𝑛	PRON
iajs-3805	64	2	𝑖=1	𝑖=1	PUNCT
iajs-3805	64	3	𝑌𝑖	𝑌𝑖	NOUN
iajs-3805	64	4	=	=	SYM
iajs-3805	64	5	1	1	NUM
iajs-3805	64	6	2	2	NUM
iajs-3805	64	7	∑𝑊ℎ(𝑋𝑖	∑𝑊ℎ(𝑋𝑖	NOUN
iajs-3805	64	8	)	)	PUNCT
iajs-3805	64	9	𝑛	𝑛	PRON
iajs-3805	65	1	𝑖=1	𝑖=1	PROPN
iajs-3805	66	1	𝑌𝑖	𝑌𝑖	NOUN
iajs-3805	66	2	the	the	DET
iajs-3805	66	3	second	second	NOUN
iajs-3805	66	4	is	be	AUX
iajs-3805	66	5	nadaraya	nadaraya	NOUN
iajs-3805	66	6	and	and	CCONJ
iajs-3805	66	7	watson	watson	NOUN
iajs-3805	66	8	with	with	ADP
iajs-3805	66	9	variable	variable	ADJ
iajs-3805	66	10	smoothing	smoothing	NOUN
iajs-3805	66	11	parameters	parameter	NOUN
iajs-3805	66	12	’	'	PUNCT
iajs-3805	66	13	this	this	DET
iajs-3805	66	14	estimator	estimator	NOUN
iajs-3805	66	15	relies	rely	VERB
iajs-3805	66	16	on	on	ADP
iajs-3805	66	17	the	the	DET
iajs-3805	66	18	utilization	utilization	NOUN
iajs-3805	66	19	of	of	ADP
iajs-3805	66	20	variable	variable	ADJ
iajs-3805	66	21	smoothing	smoothing	NOUN
iajs-3805	66	22	parameters	parameter	NOUN
iajs-3805	66	23	as	as	SCONJ
iajs-3805	66	24	opposed	oppose	VERB
iajs-3805	66	25	to	to	ADP
iajs-3805	66	26	fixed	fix	VERB
iajs-3805	66	27	smoothing	smoothing	NOUN
iajs-3805	66	28	parameters	parameter	NOUN
iajs-3805	66	29	.	.	PUNCT
iajs-3805	67	1	it	it	PRON
iajs-3805	67	2	earns	earn	VERB
iajs-3805	67	3	its	its	PRON
iajs-3805	67	4	name	name	NOUN
iajs-3805	67	5	"	"	PUNCT
iajs-3805	67	6	variable	variable	NOUN
iajs-3805	67	7	"	"	PUNCT
iajs-3805	67	8	due	due	ADP
iajs-3805	67	9	to	to	ADP
iajs-3805	67	10	its	its	PRON
iajs-3805	67	11	adaptability	adaptability	NOUN
iajs-3805	67	12	,	,	PUNCT
iajs-3805	67	13	wherein	wherein	SCONJ
iajs-3805	67	14	the	the	DET
iajs-3805	67	15	smoothing	smooth	VERB
iajs-3805	67	16	parameter	parameter	NOUN
iajs-3805	67	17	varies	vary	VERB
iajs-3805	67	18	at	at	ADP
iajs-3805	67	19	each	each	DET
iajs-3805	67	20	point	point	NOUN
iajs-3805	67	21	.	.	PUNCT
iajs-3805	68	1	this	this	DET
iajs-3805	68	2	variability	variability	NOUN
iajs-3805	68	3	is	be	AUX
iajs-3805	68	4	achieved	achieve	VERB
iajs-3805	68	5	by	by	ADP
iajs-3805	68	6	employing	employ	VERB
iajs-3805	68	7	large	large	ADJ
iajs-3805	68	8	windows	window	NOUN
iajs-3805	68	9	in	in	ADP
iajs-3805	68	10	areas	area	NOUN
iajs-3805	68	11	with	with	ADP
iajs-3805	68	12	low	low	ADJ
iajs-3805	68	13	data	datum	NOUN
iajs-3805	68	14	density	density	NOUN
iajs-3805	68	15	and	and	CCONJ
iajs-3805	68	16	small	small	ADJ
iajs-3805	68	17	windows	window	NOUN
iajs-3805	68	18	in	in	ADP
iajs-3805	68	19	areas	area	NOUN
iajs-3805	68	20	with	with	ADP
iajs-3805	68	21	high	high	ADJ
iajs-3805	68	22	data	datum	NOUN
iajs-3805	68	23	density	density	NOUN
iajs-3805	68	24	.	.	PUNCT
iajs-3805	69	1	the	the	DET
iajs-3805	69	2	formula	formula	NOUN
iajs-3805	69	3	for	for	ADP
iajs-3805	69	4	this	this	DET
iajs-3805	69	5	estimator	estimator	NOUN
iajs-3805	69	6	is	be	AUX
iajs-3805	69	7	given	give	VERB
iajs-3805	69	8	as	as	SCONJ
iajs-3805	69	9	follows	follow	VERB
iajs-3805	69	10	[	[	X
iajs-3805	69	11	3	3	NUM
iajs-3805	69	12	]	]	X
iajs-3805	69	13	:	:	PUNCT
iajs-3805	69	14	�	�	PROPN
iajs-3805	69	15	̑	̑	PROPN
iajs-3805	69	16	�	�	PROPN
iajs-3805	69	17	𝑣(𝑥	𝑣(𝑥	PROPN
iajs-3805	69	18	)	)	PUNCT
iajs-3805	69	19	=	=	PUNCT
iajs-3805	70	1	∑	∑	PUNCT
iajs-3805	70	2	𝐾ℎ(𝑥𝑖	𝐾ℎ(𝑥𝑖	ADJ
iajs-3805	70	3	)	)	PUNCT
iajs-3805	70	4	(	(	PUNCT
iajs-3805	70	5	𝑋𝑖	𝑋𝑖	PROPN
iajs-3805	70	6	−	−	PROPN
iajs-3805	70	7	𝑥)𝑌𝑖	𝑥)𝑌𝑖	ADJ
iajs-3805	70	8	𝑛	𝑛	PROPN
iajs-3805	70	9	𝑖=1	𝑖=1	PROPN
iajs-3805	70	10	∑	∑	PUNCT
iajs-3805	70	11	𝐾ℎ(𝑥𝑖	𝐾ℎ(𝑥𝑖	VERB
iajs-3805	70	12	)	)	PUNCT
iajs-3805	70	13	(	(	PUNCT
iajs-3805	70	14	𝑋𝑖	𝑋𝑖	PROPN
iajs-3805	70	15	−	−	PROPN
iajs-3805	70	16	𝑥)𝑛	𝑥)𝑛	PUNCT
iajs-3805	70	17	𝑖=1	𝑖=1	PUNCT
iajs-3805	71	1	=	=	SYM
iajs-3805	71	2	1	1	NUM
iajs-3805	71	3	𝑛	𝑛	PRON
iajs-3805	71	4	∑	∑	PROPN
iajs-3805	71	5	[	[	PUNCT
iajs-3805	71	6	𝐾ℎ(𝑥𝑖	𝐾ℎ(𝑥𝑖	X
iajs-3805	71	7	)	)	PUNCT
iajs-3805	71	8	(	(	PUNCT
iajs-3805	71	9	𝑋𝑖	𝑋𝑖	PROPN
iajs-3805	71	10	−	−	PROPN
iajs-3805	71	11	𝑥	𝑥	NOUN
iajs-3805	71	12	)	)	PUNCT
iajs-3805	71	13	𝑛−1𝐾ℎ(𝑥𝑖	𝑛−1𝐾ℎ(𝑥𝑖	PROPN
iajs-3805	71	14	)	)	PUNCT
iajs-3805	71	15	(	(	PUNCT
iajs-3805	71	16	𝑋𝑖	𝑋𝑖	PROPN
iajs-3805	71	17	−	−	PROPN
iajs-3805	71	18	𝑥	𝑥	NOUN
iajs-3805	71	19	)	)	PUNCT
iajs-3805	71	20	]	]	PUNCT
iajs-3805	72	1	𝑛	𝑛	PRON
iajs-3805	72	2	𝑖=1	𝑖=1	PUNCT
iajs-3805	72	3	𝑌𝑖	𝑌𝑖	NOUN
iajs-3805	72	4	this	this	DET
iajs-3805	72	5	modification	modification	NOUN
iajs-3805	72	6	ensures	ensure	VERB
iajs-3805	72	7	that	that	SCONJ
iajs-3805	72	8	the	the	DET
iajs-3805	72	9	estimator	estimator	NOUN
iajs-3805	72	10	adjusts	adjust	VERB
iajs-3805	72	11	its	its	PRON
iajs-3805	72	12	smoothing	smooth	VERB
iajs-3805	72	13	parameter	parameter	NOUN
iajs-3805	72	14	based	base	VERB
iajs-3805	72	15	on	on	ADP
iajs-3805	72	16	the	the	DET
iajs-3805	72	17	local	local	ADJ
iajs-3805	72	18	data	datum	NOUN
iajs-3805	72	19	density	density	NOUN
iajs-3805	72	20	,	,	PUNCT
iajs-3805	72	21	contributing	contribute	VERB
iajs-3805	72	22	to	to	ADP
iajs-3805	72	23	its	its	PRON
iajs-3805	72	24	adaptability	adaptability	NOUN
iajs-3805	72	25	in	in	ADP
iajs-3805	72	26	various	various	ADJ
iajs-3805	72	27	contexts	contexts	NOUN
iajs-3805	72	28	.	.	PUNCT
iajs-3805	73	1	the	the	DET
iajs-3805	73	2	local	local	ADJ
iajs-3805	73	3	polynomial	polynomial	ADJ
iajs-3805	73	4	regression	regression	NOUN
iajs-3805	73	5	estimator	estimator	NOUN
iajs-3805	73	6	:	:	PUNCT
iajs-3805	73	7	consider	consider	VERB
iajs-3805	73	8	a	a	DET
iajs-3805	73	9	random	random	ADJ
iajs-3805	73	10	sample	sample	NOUN
iajs-3805	73	11	1	1	NUM
iajs-3805	73	12	1	1	NUM
iajs-3805	73	13	2	2	NUM
iajs-3805	73	14	2	2	NUM
iajs-3805	73	15	,	,	PUNCT
iajs-3805	73	16	,	,	PUNCT
iajs-3805	73	17	,	,	PUNCT
iajs-3805	73	18	(	(	PUNCT
iajs-3805	73	19	)	)	PUNCT
iajs-3805	73	20	(	(	PUNCT
iajs-3805	73	21	)	)	PUNCT
iajs-3805	73	22	(	(	PUNCT
iajs-3805	73	23	)	)	PUNCT
iajs-3805	73	24	,	,	PUNCT
iajs-3805	73	25	,	,	PUNCT
iajs-3805	73	26	,	,	PUNCT
iajs-3805	73	27	n	n	CCONJ
iajs-3805	73	28	nx	nx	NOUN
iajs-3805	73	29	y	y	PROPN
iajs-3805	73	30	x	x	SYM
iajs-3805	73	31	y	y	NOUN
iajs-3805	73	32	x	x	PUNCT
iajs-3805	73	33	y	y	NOUN
iajs-3805	73	34	of	of	ADP
iajs-3805	73	35	bivariate	bivariate	ADJ
iajs-3805	73	36	data	datum	NOUN
iajs-3805	73	37	taken	take	VERB
iajs-3805	73	38	from	from	ADP
iajs-3805	73	39	a	a	DET
iajs-3805	73	40	finite	finite	ADJ
iajs-3805	73	41	population	population	NOUN
iajs-3805	73	42	.	.	PUNCT
iajs-3805	74	1	from	from	ADP
iajs-3805	74	2	the	the	DET
iajs-3805	74	3	model	model	NOUN
iajs-3805	74	4	in	in	ADP
iajs-3805	74	5	(	(	PUNCT
iajs-3805	74	6	1	1	NUM
iajs-3805	74	7	)	)	PUNCT
iajs-3805	74	8	,	,	PUNCT
iajs-3805	74	9	to	to	PART
iajs-3805	74	10	estimate	estimate	VERB
iajs-3805	74	11	the	the	DET
iajs-3805	74	12	unknown	unknown	ADJ
iajs-3805	74	13	function	function	NOUN
iajs-3805	74	14	m(xi	m(xi	PROPN
iajs-3805	74	15	)	)	PUNCT
iajs-3805	74	16	,	,	PUNCT
iajs-3805	74	17	the	the	DET
iajs-3805	74	18	procedure	procedure	NOUN
iajs-3805	74	19	below	below	ADV
iajs-3805	74	20	follows	follow	VERB
iajs-3805	74	21	[	[	X
iajs-3805	74	22	20	20	NUM
iajs-3805	74	23	]	]	PUNCT
iajs-3805	74	24	.	.	PUNCT
iajs-3805	75	1	for	for	ADP
iajs-3805	75	2	more	more	ADJ
iajs-3805	75	3	on	on	ADP
iajs-3805	75	4	local	local	ADJ
iajs-3805	75	5	polynomial	polynomial	ADJ
iajs-3805	75	6	regression	regression	NOUN
iajs-3805	75	7	estimator	estimator	NOUN
iajs-3805	75	8	[	[	PUNCT
iajs-3805	75	9	34	34	NUM
iajs-3805	75	10	-	-	SYM
iajs-3805	75	11	39	39	NUM
iajs-3805	75	12	]	]	PUNCT
iajs-3805	75	13	:	:	PUNCT
iajs-3805	75	14	ihjpas	ihjpas	PROPN
iajs-3805	75	15	.	.	PUNCT
iajs-3805	76	1	2024	2024	NUM
iajs-3805	76	2	,	,	PUNCT
iajs-3805	76	3	37(4	37(4	X
iajs-3805	76	4	)	)	PUNCT
iajs-3805	76	5	411	411	NUM
iajs-3805	76	6	(	(	PUNCT
iajs-3805	76	7	)	)	PUNCT
iajs-3805	76	8			PROPN
iajs-3805	76	9			NOUN
iajs-3805	76	10	/m	/m	PUNCT
iajs-3805	76	11	x	x	PUNCT
iajs-3805	76	12	e	e	X
iajs-3805	76	13	y	y	PROPN
iajs-3805	76	14	x	x	X
iajs-3805	76	15	x=	x=	PUNCT
iajs-3805	77	1	=	=	PUNCT
iajs-3805	77	2	the	the	DET
iajs-3805	77	3	approximation	approximation	NOUN
iajs-3805	77	4	for	for	ADP
iajs-3805	77	5	this	this	PRON
iajs-3805	77	6	can	can	AUX
iajs-3805	77	7	be	be	AUX
iajs-3805	77	8	achieved	achieve	VERB
iajs-3805	77	9	using	use	VERB
iajs-3805	77	10	taylor	taylor	PROPN
iajs-3805	77	11	's	's	PART
iajs-3805	77	12	series	series	NOUN
iajs-3805	77	13	,	,	PUNCT
iajs-3805	77	14	as	as	SCONJ
iajs-3805	77	15	outlined	outline	VERB
iajs-3805	77	16	in	in	ADP
iajs-3805	77	17	[	[	X
iajs-3805	77	18	46	46	NUM
iajs-3805	77	19	]	]	X
iajs-3805	77	20	(	(	PUNCT
iajs-3805	77	21	)	)	PUNCT
iajs-3805	77	22	(	(	PUNCT
iajs-3805	77	23	)	)	PUNCT
iajs-3805	77	24	(	(	PUNCT
iajs-3805	77	25	)	)	PUNCT
iajs-3805	77	26	(	(	PUNCT
iajs-3805	77	27	)	)	PUNCT
iajs-3805	77	28	(	(	PUNCT
iajs-3805	77	29	)	)	PUNCT
iajs-3805	77	30	(	(	PUNCT
iajs-3805	77	31	)	)	PUNCT
iajs-3805	77	32	(	(	PUNCT
iajs-3805	77	33	)	)	PUNCT
iajs-3805	77	34	2	2	NUM
iajs-3805	77	35	0	0	NUM
iajs-3805	77	36	0	0	NUM
iajs-3805	77	37	(	(	PUNCT
iajs-3805	77	38	)	)	PUNCT
iajs-3805	77	39	2	2	NUM
iajs-3805	77	40	!	!	PUNCT
iajs-3805	77	41	!	!	PUNCT
iajs-3805	78	1	p	p	X
iajs-3805	79	1	po	po	INTJ
iajs-3805	80	1	o	o	NOUN
iajs-3805	80	2	o	o	X
iajs-3805	81	1	o	o	X
iajs-3805	81	2	m	m	VERB
iajs-3805	81	3	x	x	X
iajs-3805	81	4	m	m	VERB
iajs-3805	81	5	x	x	X
iajs-3805	81	6	m	m	VERB
iajs-3805	81	7	x	x	X
iajs-3805	81	8	m	m	VERB
iajs-3805	81	9	x	x	X
iajs-3805	81	10	m	m	VERB
iajs-3805	81	11	x	x	X
iajs-3805	81	12	x	x	PUNCT
iajs-3805	82	1	x	x	PUNCT
iajs-3805	82	2	x	x	SYM
iajs-3805	82	3	x	x	X
iajs-3805	82	4	p	p	VERB
iajs-3805	82	5			PROPN
iajs-3805	82	6			PROPN
iajs-3805	82	7	+	+	PUNCT
iajs-3805	83	1	+	+	CCONJ
iajs-3805	83	2	−	−	X
iajs-3805	83	3	+	+	CCONJ
iajs-3805	84	1	+	+	CCONJ
iajs-3805	84	2	−	−	NOUN
iajs-3805	84	3	.	.	PUNCT
iajs-3805	85	1	(	(	PUNCT
iajs-3805	85	2	2	2	X
iajs-3805	85	3	)	)	PUNCT
iajs-3805	85	4	when	when	SCONJ
iajs-3805	85	5	utilizing	utilize	VERB
iajs-3805	85	6	the	the	DET
iajs-3805	85	7	local	local	ADJ
iajs-3805	85	8	polynomial	polynomial	ADJ
iajs-3805	85	9	x0	x0	PROPN
iajs-3805	85	10	,	,	PUNCT
iajs-3805	85	11	and	and	CCONJ
iajs-3805	85	12	minimizing	minimize	VERB
iajs-3805	85	13	the	the	DET
iajs-3805	85	14	weighted	weight	VERB
iajs-3805	85	15	least	least	ADJ
iajs-3805	85	16	square	square	ADJ
iajs-3805	85	17	regression	regression	NOUN
iajs-3805	85	18	,	,	PUNCT
iajs-3805	85	19	we	we	PRON
iajs-3805	85	20	arrive	arrive	VERB
iajs-3805	85	21	at	at	ADP
iajs-3805	85	22	the	the	DET
iajs-3805	85	23	following	following	ADJ
iajs-3805	85	24	result	result	NOUN
iajs-3805	85	25	.	.	PUNCT
iajs-3805	86	1	for	for	ADP
iajs-3805	86	2	more	more	ADV
iajs-3805	86	3	comprehensive	comprehensive	ADJ
iajs-3805	86	4	information	information	NOUN
iajs-3805	86	5	[	[	X
iajs-3805	86	6	34	34	NUM
iajs-3805	86	7	]	]	PUNCT
iajs-3805	86	8	.	.	PUNCT
iajs-3805	87	1	for	for	ADP
iajs-3805	87	2	further	further	ADJ
iajs-3805	87	3	details	detail	NOUN
iajs-3805	87	4	:	:	PUNCT
iajs-3805	87	5	(	(	PUNCT
iajs-3805	87	6	)	)	PUNCT
iajs-3805	87	7	(	(	PUNCT
iajs-3805	87	8	)	)	PUNCT
iajs-3805	87	9			PROPN
iajs-3805	87	10			PROPN
iajs-3805	87	11	(	(	PUNCT
iajs-3805	87	12	)	)	PUNCT
iajs-3805	87	13	2	2	NUM
iajs-3805	87	14	0	0	NUM
iajs-3805	87	15	1	1	NUM
iajs-3805	87	16	0	0	NUM
iajs-3805	87	17	0	0	NUM
iajs-3805	87	18	0	0	NUM
iajs-3805	87	19	1	1	NUM
iajs-3805	87	20	min	min	NOUN
iajs-3805	87	21	n	n	PRON
iajs-3805	87	22	p	p	NOUN
iajs-3805	88	1	i	i	PRON
iajs-3805	88	2	k	k	PROPN
iajs-3805	89	1	p	p	X
iajs-3805	89	2	k	k	PROPN
iajs-3805	90	1	h	h	PROPN
iajs-3805	91	1	k	k	PROPN
iajs-3805	91	2	b	b	PROPN
iajs-3805	92	1	k	k	PROPN
iajs-3805	92	2	y	y	PROPN
iajs-3805	92	3	b	b	PROPN
iajs-3805	92	4	b	b	PROPN
iajs-3805	92	5	x	x	SYM
iajs-3805	93	1	x	x	SYM
iajs-3805	93	2	b	b	X
iajs-3805	93	3	x	x	SYM
iajs-3805	93	4	x	x	SYM
iajs-3805	93	5	k	k	NOUN
iajs-3805	93	6	x	x	PUNCT
iajs-3805	93	7	x	x	PUNCT
iajs-3805	93	8	=	=	PUNCT
iajs-3805	94	1	−	−	PROPN
iajs-3805	94	2	−	−	NUM
iajs-3805	95	1	−	−	PROPN
iajs-3805	95	2	−	−	PROPN
iajs-3805	95	3	−	−	PROPN
iajs-3805	95	4	−	−	NOUN
iajs-3805	95	5	−	−	NOUN
iajs-3805	95	6	(	(	PUNCT
iajs-3805	95	7	3	3	NUM
iajs-3805	95	8	)	)	PUNCT
iajs-3805	96	1	where	where	SCONJ
iajs-3805	96	2	:	:	PUNCT
iajs-3805	96	3	(	(	PUNCT
iajs-3805	96	4	)	)	PUNCT
iajs-3805	96	5	0	0	NUM
iajs-3805	96	6	1	1	NUM
iajs-3805	96	7	,	,	PUNCT
iajs-3805	96	8	,	,	PUNCT
iajs-3805	96	9	..	..	PUNCT
iajs-3805	96	10	,	,	PUNCT
iajs-3805	96	11	..	..	PUNCT
iajs-3805	96	12	t	t	AUX
iajs-3805	96	13	pb	pb	ADP
iajs-3805	96	14	b	b	PROPN
iajs-3805	96	15	b	b	PROPN
iajs-3805	96	16	b=	b=	NOUN
iajs-3805	96	17	k	k	NOUN
iajs-3805	96	18	=	=	NOUN
iajs-3805	96	19	kernel	kernel	PROPN
iajs-3805	96	20	function	function	PROPN
iajs-3805	96	21	h	h	NOUN
iajs-3805	96	22	:	:	PUNCT
iajs-3805	96	23	represents	represent	VERB
iajs-3805	96	24	a	a	DET
iajs-3805	96	25	bandwidth	bandwidth	NOUN
iajs-3805	96	26	then	then	ADV
iajs-3805	96	27	we	we	PRON
iajs-3805	96	28	obtain	obtain	VERB
iajs-3805	96	29	the	the	DET
iajs-3805	96	30	estimator	estimator	NOUN
iajs-3805	96	31	of	of	ADP
iajs-3805	96	32	weighted	weighted	ADJ
iajs-3805	96	33	least	least	ADJ
iajs-3805	96	34	square	square	ADJ
iajs-3805	96	35	(	(	PUNCT
iajs-3805	96	36	wls	wl	NOUN
iajs-3805	96	37	)	)	PUNCT
iajs-3805	96	38	in	in	ADP
iajs-3805	96	39	form	form	NOUN
iajs-3805	96	40	;	;	PUNCT
iajs-3805	96	41	[	[	X
iajs-3805	96	42	50	50	NUM
iajs-3805	96	43	]	]	PUNCT
iajs-3805	96	44	(	(	PUNCT
iajs-3805	96	45	)	)	PUNCT
iajs-3805	96	46	(	(	PUNCT
iajs-3805	96	47	)	)	PUNCT
iajs-3805	96	48	1	1	NUM
iajs-3805	96	49	b	b	X
iajs-3805	96	50	x	x	SYM
iajs-3805	96	51	x	x	SYM
iajs-3805	96	52	wx	wx	X
iajs-3805	96	53	x	x	X
iajs-3805	96	54	wy	wy	PROPN
iajs-3805	96	55	−	−	PROPN
iajs-3805	96	56			ADV
iajs-3805	96	57	=	=	PROPN
iajs-3805	96	58	(	(	PUNCT
iajs-3805	96	59	4	4	NUM
iajs-3805	96	60	)	)	PUNCT
iajs-3805	96	61	where	where	SCONJ
iajs-3805	96	62	(	(	PUNCT
iajs-3805	96	63	)	)	PUNCT
iajs-3805	96	64	(	(	PUNCT
iajs-3805	96	65	)	)	PUNCT
iajs-3805	96	66	(	(	PUNCT
iajs-3805	96	67	)	)	PUNCT
iajs-3805	96	68	(	(	PUNCT
iajs-3805	96	69	)	)	PUNCT
iajs-3805	96	70	(	(	PUNCT
iajs-3805	96	71	)	)	PUNCT
iajs-3805	96	72	(	(	PUNCT
iajs-3805	96	73	)	)	PUNCT
iajs-3805	96	74	1	1	NUM
iajs-3805	96	75	0	0	NUM
iajs-3805	96	76	1	1	NUM
iajs-3805	96	77	0	0	NUM
iajs-3805	96	78	2	2	NUM
iajs-3805	96	79	0	0	NUM
iajs-3805	96	80	2	2	NUM
iajs-3805	96	81	0	0	NUM
iajs-3805	96	82	0	0	NUM
iajs-3805	96	83	0	0	NUM
iajs-3805	96	84	1	1	NUM
iajs-3805	96	85	1	1	NUM
iajs-3805	96	86	1	1	NUM
iajs-3805	96	87	p	p	NOUN
iajs-3805	96	88	p	p	PROPN
iajs-3805	96	89	p	p	NOUN
iajs-3805	96	90	n	n	CCONJ
iajs-3805	96	91	n	n	NOUN
iajs-3805	96	92	x	x	NOUN
iajs-3805	96	93	x	x	PUNCT
iajs-3805	96	94	x	x	PUNCT
iajs-3805	96	95	x	x	PUNCT
iajs-3805	96	96	x	x	PUNCT
iajs-3805	96	97	x	x	PUNCT
iajs-3805	96	98	x	x	PUNCT
iajs-3805	96	99	x	x	PUNCT
iajs-3805	96	100	x	x	PUNCT
iajs-3805	96	101	x	x	PUNCT
iajs-3805	96	102	x	x	PUNCT
iajs-3805	96	103	x	x	PUNCT
iajs-3805	96	104	x	x	X
iajs-3805	96	105			ADP
iajs-3805	96	106	−	−	PRON
iajs-3805	96	107	−	−	NOUN
iajs-3805	96	108			NUM
iajs-3805	96	109			NUM
iajs-3805	96	110			NUM
iajs-3805	96	111	−	−	NOUN
iajs-3805	96	112	−	−	PROPN
iajs-3805	96	113	=	=	PUNCT
iajs-3805	97	1			NUM
iajs-3805	97	2			NOUN
iajs-3805	97	3			NUM
iajs-3805	97	4			NUM
iajs-3805	97	5			NUM
iajs-3805	97	6			NUM
iajs-3805	97	7	−	−	PROPN
iajs-3805	97	8	−	−	VERB
iajs-3805	97	9			X
iajs-3805	97	10	,	,	PUNCT
iajs-3805	97	11	1	1	NUM
iajs-3805	97	12	2	2	NUM
iajs-3805	97	13	n	n	NOUN
iajs-3805	97	14	y	y	PROPN
iajs-3805	97	15	y	y	PROPN
iajs-3805	97	16	y	y	PROPN
iajs-3805	97	17	y	y	PROPN
iajs-3805	97	18			PROPN
iajs-3805	97	19			ADJ
iajs-3805	97	20			NOUN
iajs-3805	97	21			PROPN
iajs-3805	97	22			NOUN
iajs-3805	97	23	=	=	X
iajs-3805	97	24			NOUN
iajs-3805	97	25			NOUN
iajs-3805	97	26			NOUN
iajs-3805	97	27			NOUN
iajs-3805	97	28			NOUN
iajs-3805	97	29			PROPN
iajs-3805	97	30	(	(	PUNCT
iajs-3805	97	31	)	)	PUNCT
iajs-3805	97	32	(	(	PUNCT
iajs-3805	97	33	)	)	PUNCT
iajs-3805	97	34	(	(	PUNCT
iajs-3805	97	35	)	)	PUNCT
iajs-3805	97	36	(	(	PUNCT
iajs-3805	97	37	)	)	PUNCT
iajs-3805	97	38	(	(	PUNCT
iajs-3805	97	39	)	)	PUNCT
iajs-3805	97	40	0	0	NUM
iajs-3805	98	1	1	1	NUM
iajs-3805	98	2	0	0	NUM
iajs-3805	98	3	2	2	NUM
iajs-3805	98	4	0	0	NUM
iajs-3805	98	5	0	0	NUM
iajs-3805	98	6	0	0	NUM
iajs-3805	98	7	0	0	NUM
iajs-3805	98	8	0	0	NUM
iajs-3805	98	9	0	0	NUM
iajs-3805	98	10	0	0	NUM
iajs-3805	98	11	h	h	NOUN
iajs-3805	98	12	h	h	NOUN
iajs-3805	99	1	h	h	NOUN
iajs-3805	100	1	h	h	NOUN
iajs-3805	101	1	n	n	CCONJ
iajs-3805	102	1	k	k	NOUN
iajs-3805	103	1	x	x	PUNCT
iajs-3805	103	2	x	x	PUNCT
iajs-3805	103	3	k	k	NOUN
iajs-3805	103	4	x	x	PUNCT
iajs-3805	103	5	x	x	X
iajs-3805	103	6	w	w	NOUN
iajs-3805	103	7	diag	diag	NOUN
iajs-3805	104	1	k	k	NOUN
iajs-3805	105	1	x	x	PUNCT
iajs-3805	105	2	x	x	PUNCT
iajs-3805	105	3	k	k	NOUN
iajs-3805	105	4	x	x	PUNCT
iajs-3805	105	5	x	x	PUNCT
iajs-3805	105	6			ADP
iajs-3805	105	7	−	−	NUM
iajs-3805	105	8			NUM
iajs-3805	105	9			NUM
iajs-3805	105	10	−	−	PROPN
iajs-3805	105	11			NUM
iajs-3805	105	12	=	=	NOUN
iajs-3805	105	13	=	=	NOUN
iajs-3805	105	14	−	−	NOUN
iajs-3805	106	1			NOUN
iajs-3805	106	2			NUM
iajs-3805	106	3			NUM
iajs-3805	106	4			NUM
iajs-3805	106	5	−	−	PROPN
iajs-3805	106	6			PROPN
iajs-3805	107	1	so	so	ADV
iajs-3805	107	2	,	,	PUNCT
iajs-3805	107	3	the	the	DET
iajs-3805	107	4	local	local	ADJ
iajs-3805	107	5	polynomial	polynomial	ADJ
iajs-3805	107	6	regression	regression	NOUN
iajs-3805	107	7	estimator	estimator	NOUN
iajs-3805	107	8	for	for	ADP
iajs-3805	107	9	the	the	DET
iajs-3805	107	10	regression	regression	NOUN
iajs-3805	107	11	function	function	NOUN
iajs-3805	107	12	(	(	PUNCT
iajs-3805	107	13	smoothing	smooth	VERB
iajs-3805	107	14	)	)	PUNCT
iajs-3805	107	15	m	m	VERB
iajs-3805	107	16	will	will	AUX
iajs-3805	107	17	be	be	AUX
iajs-3805	107	18	[	[	PUNCT
iajs-3805	107	19	39	39	NUM
iajs-3805	107	20	]	]	PUNCT
iajs-3805	107	21	:	:	PUNCT
iajs-3805	107	22	(	(	PUNCT
iajs-3805	107	23	)	)	PUNCT
iajs-3805	107	24	(	(	PUNCT
iajs-3805	107	25	)	)	PUNCT
iajs-3805	107	26	,	,	PUNCT
iajs-3805	107	27	0p	0p	NUM
iajs-3805	108	1	hm	hm	INTJ
iajs-3805	108	2	x	x	SYM
iajs-3805	108	3	b	b	PROPN
iajs-3805	108	4	x=	x=	PROPN
iajs-3805	108	5	and	and	CCONJ
iajs-3805	108	6	(	(	PUNCT
iajs-3805	108	7	)	)	PUNCT
iajs-3805	108	8	(	(	PUNCT
iajs-3805	108	9	)	)	PUNCT
iajs-3805	108	10	0	0	NUM
iajs-3805	108	11	m	m	NOUN
iajs-3805	108	12	x	x	SYM
iajs-3805	108	13	b	b	X
iajs-3805	108	14	x	x	PROPN
iajs-3805	108	15	•	•	ADV
iajs-3805	108	16	when	when	SCONJ
iajs-3805	108	17	the	the	DET
iajs-3805	108	18	degree	degree	NOUN
iajs-3805	108	19	of	of	ADP
iajs-3805	108	20	the	the	DET
iajs-3805	108	21	polynomial	polynomial	ADJ
iajs-3805	108	22	(	(	PUNCT
iajs-3805	108	23	p=0	p=0	PROPN
iajs-3805	108	24	)	)	PUNCT
iajs-3805	108	25	,	,	PUNCT
iajs-3805	108	26	we	we	PRON
iajs-3805	108	27	obtain	obtain	VERB
iajs-3805	108	28	the	the	DET
iajs-3805	108	29	local	local	ADJ
iajs-3805	108	30	constant	constant	ADJ
iajs-3805	108	31	estimator	estimator	NOUN
iajs-3805	108	32	(	(	PUNCT
iajs-3805	108	33	nadaraya	nadaraya	NOUN
iajs-3805	108	34	-	-	PUNCT
iajs-3805	108	35	watson	watson	NOUN
iajs-3805	108	36	)	)	PUNCT
iajs-3805	108	37	.	.	PUNCT
iajs-3805	109	1	•	•	NUM
iajs-3805	109	2	when	when	SCONJ
iajs-3805	109	3	the	the	DET
iajs-3805	109	4	degree	degree	NOUN
iajs-3805	109	5	of	of	ADP
iajs-3805	109	6	the	the	DET
iajs-3805	109	7	polynomial	polynomial	ADJ
iajs-3805	109	8	(	(	PUNCT
iajs-3805	109	9	p=1	p=1	NOUN
iajs-3805	109	10	)	)	PUNCT
iajs-3805	109	11	,	,	PUNCT
iajs-3805	109	12	we	we	PRON
iajs-3805	109	13	obtain	obtain	VERB
iajs-3805	109	14	the	the	DET
iajs-3805	109	15	local	local	ADJ
iajs-3805	109	16	linear	linear	PROPN
iajs-3805	109	17	estimator	estimator	NOUN
iajs-3805	109	18	.	.	PUNCT
iajs-3805	110	1	•	•	NUM
iajs-3805	110	2	when	when	SCONJ
iajs-3805	110	3	the	the	DET
iajs-3805	110	4	degree	degree	NOUN
iajs-3805	110	5	of	of	ADP
iajs-3805	110	6	the	the	DET
iajs-3805	110	7	polynomial	polynomial	ADJ
iajs-3805	110	8	(	(	PUNCT
iajs-3805	110	9	p=2	p=2	PROPN
iajs-3805	110	10	)	)	PUNCT
iajs-3805	110	11	,	,	PUNCT
iajs-3805	110	12	we	we	PRON
iajs-3805	110	13	obtain	obtain	VERB
iajs-3805	110	14	the	the	DET
iajs-3805	110	15	local	local	ADJ
iajs-3805	110	16	quadratic	quadratic	ADJ
iajs-3805	110	17	estimator	estimator	NOUN
iajs-3805	110	18	.	.	PUNCT
iajs-3805	111	1	•	•	NUM
iajs-3805	111	2	when	when	SCONJ
iajs-3805	111	3	the	the	DET
iajs-3805	111	4	degree	degree	NOUN
iajs-3805	111	5	of	of	ADP
iajs-3805	111	6	the	the	DET
iajs-3805	111	7	polynomial	polynomial	ADJ
iajs-3805	111	8	(	(	PUNCT
iajs-3805	111	9	p=3	p=3	PROPN
iajs-3805	111	10	)	)	PUNCT
iajs-3805	111	11	,	,	PUNCT
iajs-3805	111	12	we	we	PRON
iajs-3805	111	13	obtain	obtain	VERB
iajs-3805	111	14	the	the	DET
iajs-3805	111	15	local	local	ADJ
iajs-3805	111	16	cubic	cubic	ADJ
iajs-3805	111	17	estimator	estimator	NOUN
iajs-3805	111	18	.	.	PUNCT
iajs-3805	112	1	•	•	NUM
iajs-3805	112	2	when	when	SCONJ
iajs-3805	112	3	the	the	DET
iajs-3805	112	4	degree	degree	NOUN
iajs-3805	112	5	of	of	ADP
iajs-3805	112	6	the	the	DET
iajs-3805	112	7	polynomial	polynomial	NOUN
iajs-3805	112	8	is	be	AUX
iajs-3805	112	9	p	p	NOUN
iajs-3805	112	10	,	,	PUNCT
iajs-3805	112	11	we	we	PRON
iajs-3805	112	12	obtain	obtain	VERB
iajs-3805	112	13	the	the	DET
iajs-3805	112	14	local	local	ADJ
iajs-3805	112	15	polynomial	polynomial	ADJ
iajs-3805	112	16	regression	regression	NOUN
iajs-3805	112	17	.	.	PUNCT
iajs-3805	113	1	in	in	ADP
iajs-3805	113	2	order	order	NOUN
iajs-3805	113	3	to	to	PART
iajs-3805	113	4	emphasize	emphasize	VERB
iajs-3805	113	5	the	the	DET
iajs-3805	113	6	importance	importance	NOUN
iajs-3805	113	7	of	of	ADP
iajs-3805	113	8	linked	link	VERB
iajs-3805	113	9	kernels	kernel	NOUN
iajs-3805	113	10	in	in	ADP
iajs-3805	113	11	multiple	multiple	ADJ
iajs-3805	113	12	regression	regression	NOUN
iajs-3805	113	13	,	,	PUNCT
iajs-3805	113	14	various	various	ADJ
iajs-3805	113	15	types	type	NOUN
iajs-3805	113	16	have	have	AUX
iajs-3805	113	17	been	be	AUX
iajs-3805	113	18	used	use	VERB
iajs-3805	113	19	in	in	ADP
iajs-3805	113	20	numerous	numerous	ADJ
iajs-3805	113	21	studies	study	NOUN
iajs-3805	113	22	.	.	PUNCT
iajs-3805	114	1	these	these	PRON
iajs-3805	114	2	include	include	VERB
iajs-3805	114	3	discrete	discrete	ADJ
iajs-3805	114	4	univariate	univariate	ADJ
iajs-3805	114	5	kernels	kernel	NOUN
iajs-3805	114	6	,	,	PUNCT
iajs-3805	114	7	continuous	continuous	ADJ
iajs-3805	114	8	univariate	univariate	ADJ
iajs-3805	114	9	kernels	kernel	NOUN
iajs-3805	114	10	and	and	CCONJ
iajs-3805	114	11	bivariate	bivariate	ADJ
iajs-3805	114	12	kernels	kernel	NOUN
iajs-3805	114	13	.	.	PUNCT
iajs-3805	115	1	further	further	ADJ
iajs-3805	115	2	information	information	NOUN
iajs-3805	115	3	on	on	ADP
iajs-3805	115	4	the	the	DET
iajs-3805	115	5	different	different	ADJ
iajs-3805	115	6	kernel	kernel	NOUN
iajs-3805	115	7	types	type	NOUN
iajs-3805	115	8	can	can	AUX
iajs-3805	115	9	be	be	AUX
iajs-3805	115	10	found	find	VERB
iajs-3805	115	11	in	in	ADP
iajs-3805	115	12	the	the	DET
iajs-3805	115	13	work	work	NOUN
iajs-3805	115	14	of	of	ADP
iajs-3805	115	15	[	[	X
iajs-3805	115	16	5,31,40,41	5,31,40,41	PROPN
iajs-3805	115	17	]	]	PUNCT
iajs-3805	115	18	.	.	PUNCT
iajs-3805	116	1	3	3	X
iajs-3805	116	2	.	.	PUNCT
iajs-3805	116	3	kernel	kernel	PROPN
iajs-3805	116	4	functions	function	NOUN
iajs-3805	116	5	ihjpas	ihjpas	PROPN
iajs-3805	116	6	.	.	PUNCT
iajs-3805	117	1	2024	2024	NUM
iajs-3805	117	2	,	,	PUNCT
iajs-3805	117	3	37(4	37(4	NUM
iajs-3805	117	4	)	)	PUNCT
iajs-3805	117	5	412	412	NUM
iajs-3805	117	6	1	1	NUM
iajs-3805	117	7	-	-	PUNCT
iajs-3805	117	8	epanechnikov	epanechnikov	NOUN
iajs-3805	117	9	kernel	kernel	NOUN
iajs-3805	117	10	the	the	DET
iajs-3805	117	11	interconnected	interconnected	ADJ
iajs-3805	117	12	kernel	kernel	NOUN
iajs-3805	117	13	defines	define	VERB
iajs-3805	117	14	the	the	DET
iajs-3805	117	15	kernel	kernel	NOUN
iajs-3805	117	16	(	(	PUNCT
iajs-3805	117	17	epan	epan	PROPN
iajs-3805	117	18	)	)	PUNCT
iajs-3805	117	19	epanechniko	epanechniko	NOUN
iajs-3805	118	1	[	[	X
iajs-3805	118	2	42	42	NUM
iajs-3805	118	3	]	]	PUNCT
iajs-3805	118	4	(	(	PUNCT
iajs-3805	118	5	)	)	PUNCT
iajs-3805	118	6	(	(	PUNCT
iajs-3805	118	7	)	)	PUNCT
iajs-3805	118	8			PROPN
iajs-3805	118	9			PROPN
iajs-3805	118	10	2	2	NUM
iajs-3805	118	11	1	1	NUM
iajs-3805	118	12	3	3	NUM
iajs-3805	118	13	1	1	NUM
iajs-3805	118	14	,	,	PUNCT
iajs-3805	118	15	4	4	NUM
iajs-3805	118	16	x	x	SYM
iajs-3805	118	17	k	k	NOUN
iajs-3805	118	18	x	x	PUNCT
iajs-3805	118	19	x	x	PUNCT
iajs-3805	118	20	i	i	PRON
iajs-3805	118	21			NUM
iajs-3805	118	22	=	=	SYM
iajs-3805	118	23	−	−	PROPN
iajs-3805	118	24	(	(	PUNCT
iajs-3805	118	25	5	5	NUM
iajs-3805	118	26	)	)	PUNCT
iajs-3805	118	27	2gaussian	2gaussian	NUM
iajs-3805	118	28	kernel	kernel	NOUN
iajs-3805	118	29	the	the	DET
iajs-3805	118	30	gaussian	gaussian	ADJ
iajs-3805	118	31	kernel	kernel	NOUN
iajs-3805	118	32	for	for	ADP
iajs-3805	118	33	multiple	multiple	ADJ
iajs-3805	118	34	regression	regression	NOUN
iajs-3805	118	35	is	be	AUX
iajs-3805	118	36	,	,	PUNCT
iajs-3805	118	37			PROPN
iajs-3805	118	38			PROPN
iajs-3805	118	39	21	21	NUM
iajs-3805	118	40	1	1	NUM
iajs-3805	118	41	(	(	PUNCT
iajs-3805	118	42	)	)	PUNCT
iajs-3805	118	43	exp	exp	NOUN
iajs-3805	118	44	,	,	PUNCT
iajs-3805	118	45	22	22	NUM
iajs-3805	118	46	x	x	SYM
iajs-3805	118	47	k	k	NOUN
iajs-3805	118	48	x	x	PUNCT
iajs-3805	118	49	x	x	VERB
iajs-3805	118	50	i	i	PRON
iajs-3805	118	51			PROPN
iajs-3805	118	52			PROPN
iajs-3805	119	1			NOUN
iajs-3805	119	2			NOUN
iajs-3805	119	3	=	=	PUNCT
iajs-3805	120	1	−	−	PROPN
iajs-3805	120	2			PROPN
iajs-3805	121	1			PROPN
iajs-3805	121	2			NOUN
iajs-3805	121	3	(	(	PUNCT
iajs-3805	121	4	6	6	NUM
iajs-3805	121	5	)	)	SYM
iajs-3805	121	6	3	3	NUM
iajs-3805	121	7	-	-	PUNCT
iajs-3805	121	8	uniform	uniform	ADJ
iajs-3805	121	9	kernel	kernel	NOUN
iajs-3805	121	10	(	(	PUNCT
iajs-3805	121	11	)	)	PUNCT
iajs-3805	121	12			NOUN
iajs-3805	121	13	1	1	NOUN
iajs-3805	121	14	1	1	NUM
iajs-3805	121	15	,	,	PUNCT
iajs-3805	121	16	2	2	NUM
iajs-3805	121	17	x	x	SYM
iajs-3805	121	18	k	k	NOUN
iajs-3805	121	19	x	x	PUNCT
iajs-3805	121	20	i	i	PRON
iajs-3805	121	21			NUM
iajs-3805	121	22	=	=	SYM
iajs-3805	121	23	(	(	PUNCT
iajs-3805	121	24	7	7	X
iajs-3805	121	25	)	)	PUNCT
iajs-3805	121	26	4triangular	4triangular	NUM
iajs-3805	121	27	kernel	kernel	NOUN
iajs-3805	121	28	,	,	PUNCT
iajs-3805	121	29	(	(	PUNCT
iajs-3805	121	30	)	)	PUNCT
iajs-3805	121	31	(	(	PUNCT
iajs-3805	121	32	)	)	PUNCT
iajs-3805	121	33			NOUN
iajs-3805	121	34	1	1	NOUN
iajs-3805	121	35	1	1	NUM
iajs-3805	121	36	,	,	PUNCT
iajs-3805	121	37	x	x	X
iajs-3805	121	38	k	k	NOUN
iajs-3805	121	39	x	x	PUNCT
iajs-3805	121	40	x	x	PUNCT
iajs-3805	121	41	i	i	PRON
iajs-3805	121	42			NUM
iajs-3805	121	43	=	=	SYM
iajs-3805	121	44	−	−	PROPN
iajs-3805	121	45	(	(	PUNCT
iajs-3805	121	46	8)	8)	NUM
iajs-3805	121	47	5	5	NUM
iajs-3805	121	48	-	-	PUNCT
iajs-3805	121	49	quartic	quartic	ADJ
iajs-3805	121	50	kernel	kernel	NOUN
iajs-3805	121	51	,	,	PUNCT
iajs-3805	121	52	(	(	PUNCT
iajs-3805	121	53	)	)	PUNCT
iajs-3805	121	54	(	(	PUNCT
iajs-3805	121	55	)	)	PUNCT
iajs-3805	121	56			PROPN
iajs-3805	121	57			PROPN
iajs-3805	121	58	2	2	NUM
iajs-3805	121	59	2	2	NUM
iajs-3805	121	60	1	1	NUM
iajs-3805	121	61	15	15	NUM
iajs-3805	121	62	1	1	NUM
iajs-3805	121	63	,	,	PUNCT
iajs-3805	121	64	16	16	NUM
iajs-3805	121	65	x	x	SYM
iajs-3805	121	66	k	k	NOUN
iajs-3805	121	67	x	x	PUNCT
iajs-3805	121	68	x	x	PUNCT
iajs-3805	121	69	i	i	PRON
iajs-3805	121	70			NUM
iajs-3805	121	71	=	=	SYM
iajs-3805	122	1	−	−	PROPN
iajs-3805	122	2	(	(	PUNCT
iajs-3805	122	3	9	9	NUM
iajs-3805	122	4	)	)	PUNCT
iajs-3805	122	5	bandwidth	bandwidth	NOUN
iajs-3805	122	6	has	have	AUX
iajs-3805	122	7	been	be	AUX
iajs-3805	122	8	a	a	DET
iajs-3805	122	9	subject	subject	NOUN
iajs-3805	122	10	of	of	ADP
iajs-3805	122	11	study	study	NOUN
iajs-3805	122	12	by	by	ADP
iajs-3805	122	13	numerous	numerous	ADJ
iajs-3805	122	14	researchers	researcher	NOUN
iajs-3805	122	15	in	in	ADP
iajs-3805	122	16	various	various	ADJ
iajs-3805	122	17	studies	study	NOUN
iajs-3805	122	18	,	,	PUNCT
iajs-3805	122	19	including[43,44	including[43,44	PROPN
iajs-3805	122	20	]	]	PUNCT
iajs-3805	122	21	.	.	PUNCT
iajs-3805	123	1	in	in	ADP
iajs-3805	123	2	the	the	DET
iajs-3805	123	3	context	context	NOUN
iajs-3805	123	4	of	of	ADP
iajs-3805	123	5	multivariate	multivariate	NOUN
iajs-3805	123	6	analysis	analysis	NOUN
iajs-3805	123	7	,	,	PUNCT
iajs-3805	123	8	the	the	DET
iajs-3805	123	9	bandwidth	bandwidth	NOUN
iajs-3805	123	10	is	be	AUX
iajs-3805	123	11	denoted	denote	VERB
iajs-3805	123	12	by	by	ADP
iajs-3805	123	13	the	the	DET
iajs-3805	123	14	symbol	symbol	NOUN
iajs-3805	123	15	h	h	NOUN
iajs-3805	123	16	,	,	PUNCT
iajs-3805	123	17	while	while	SCONJ
iajs-3805	123	18	in	in	ADP
iajs-3805	123	19	univariate	univariate	ADJ
iajs-3805	123	20	analysis	analysis	NOUN
iajs-3805	123	21	it	it	PRON
iajs-3805	123	22	is	be	AUX
iajs-3805	123	23	denoted	denote	VERB
iajs-3805	123	24	by	by	ADP
iajs-3805	123	25	the	the	DET
iajs-3805	123	26	symbol	symbol	NOUN
iajs-3805	123	27	h.	h.	PROPN
iajs-3805	123	28	it	it	PRON
iajs-3805	123	29	is	be	AUX
iajs-3805	123	30	often	often	ADV
iajs-3805	123	31	referred	refer	VERB
iajs-3805	123	32	to	to	ADP
iajs-3805	123	33	as	as	ADP
iajs-3805	123	34	'	'	PUNCT
iajs-3805	123	35	bandwidth	bandwidth	ADJ
iajs-3805	123	36	'	'	PUNCT
iajs-3805	123	37	or	or	CCONJ
iajs-3805	123	38	'	'	PUNCT
iajs-3805	123	39	window	window	NOUN
iajs-3805	123	40	size	size	NOUN
iajs-3805	123	41	'	'	PUNCT
iajs-3805	123	42	a	a	DET
iajs-3805	123	43	small	small	ADJ
iajs-3805	123	44	bandwidth	bandwidth	NOUN
iajs-3805	123	45	is	be	AUX
iajs-3805	123	46	usually	usually	ADV
iajs-3805	123	47	associated	associate	VERB
iajs-3805	123	48	with	with	ADP
iajs-3805	123	49	areas	area	NOUN
iajs-3805	123	50	of	of	ADP
iajs-3805	123	51	dense	dense	ADJ
iajs-3805	123	52	data	datum	NOUN
iajs-3805	123	53	,	,	PUNCT
iajs-3805	123	54	while	while	SCONJ
iajs-3805	123	55	a	a	DET
iajs-3805	123	56	large	large	ADJ
iajs-3805	123	57	bandwidth	bandwidth	NOUN
iajs-3805	123	58	is	be	AUX
iajs-3805	123	59	preferred	prefer	VERB
iajs-3805	123	60	in	in	ADP
iajs-3805	123	61	regions	region	NOUN
iajs-3805	123	62	of	of	ADP
iajs-3805	123	63	sparse	sparse	ADJ
iajs-3805	123	64	data	datum	NOUN
iajs-3805	123	65	.	.	PUNCT
iajs-3805	124	1	the	the	DET
iajs-3805	124	2	value	value	NOUN
iajs-3805	124	3	of	of	ADP
iajs-3805	124	4	bandwidth	bandwidth	NOUN
iajs-3805	124	5	can	can	AUX
iajs-3805	124	6	be	be	AUX
iajs-3805	124	7	determined	determine	VERB
iajs-3805	124	8	using	use	VERB
iajs-3805	124	9	the	the	DET
iajs-3805	124	10	crossvalidation	crossvalidation	NOUN
iajs-3805	124	11	(	(	PUNCT
iajs-3805	124	12	cv	cv	NOUN
iajs-3805	124	13	)	)	PUNCT
iajs-3805	124	14	method	method	NOUN
iajs-3805	124	15	[	[	X
iajs-3805	124	16	21,44	21,44	X
iajs-3805	124	17	]	]	X
iajs-3805	124	18	.	.	PUNCT
iajs-3805	125	1	the	the	DET
iajs-3805	125	2	bandwidth	bandwidth	ADJ
iajs-3805	125	3	matrix	matrix	NOUN
iajs-3805	125	4	selection	selection	NOUN
iajs-3805	125	5	was	be	AUX
iajs-3805	125	6	originally	originally	ADV
iajs-3805	125	7	proposed	propose	VERB
iajs-3805	125	8	by	by	ADP
iajs-3805	125	9	[	[	X
iajs-3805	125	10	15	15	NUM
iajs-3805	125	11	]	]	PUNCT
iajs-3805	125	12	.	.	PUNCT
iajs-3805	126	1	further	further	ADJ
iajs-3805	126	2	results	result	NOUN
iajs-3805	126	3	can	can	AUX
iajs-3805	126	4	be	be	AUX
iajs-3805	126	5	found	find	VERB
iajs-3805	126	6	in	in	ADP
iajs-3805	126	7	[	[	X
iajs-3805	126	8	45	45	NUM
iajs-3805	126	9	,	,	PUNCT
iajs-3805	126	10	46	46	NUM
iajs-3805	126	11	]	]	PUNCT
iajs-3805	126	12	.	.	PUNCT
iajs-3805	127	1	for	for	ADP
iajs-3805	127	2	our	our	PRON
iajs-3805	127	3	study	study	NOUN
iajs-3805	127	4	,	,	PUNCT
iajs-3805	127	5	we	we	PRON
iajs-3805	127	6	employed	employ	VERB
iajs-3805	127	7	the	the	DET
iajs-3805	127	8	leave	leave	VERB
iajs-3805	127	9	-	-	PUNCT
iajs-3805	127	10	one	one	NUM
iajs-3805	127	11	-	-	PUNCT
iajs-3805	127	12	out	out	ADP
iajs-3805	127	13	crossvalidation	crossvalidation	NOUN
iajs-3805	127	14	(	(	PUNCT
iajs-3805	127	15	cv	cv	NOUN
iajs-3805	127	16	)	)	PUNCT
iajs-3805	127	17	method	method	NOUN
iajs-3805	127	18	proposed	propose	VERB
iajs-3805	127	19	by	by	ADP
iajs-3805	127	20	scott	scott	PROPN
iajs-3805	127	21	and	and	CCONJ
iajs-3805	127	22	terrell	terrell	PROPN
iajs-3805	127	23	in1987	in1987	PRON
iajs-3805	128	1	[	[	X
iajs-3805	128	2	47	47	NUM
iajs-3805	128	3	]	]	PUNCT
iajs-3805	128	4	.	.	PUNCT
iajs-3805	129	1	the	the	DET
iajs-3805	129	2	basic	basic	ADJ
iajs-3805	129	3	idea	idea	NOUN
iajs-3805	129	4	of	of	ADP
iajs-3805	129	5	this	this	DET
iajs-3805	129	6	method	method	NOUN
iajs-3805	129	7	is	be	AUX
iajs-3805	129	8	to	to	PART
iajs-3805	129	9	choose	choose	VERB
iajs-3805	129	10	a	a	DET
iajs-3805	129	11	value	value	NOUN
iajs-3805	129	12	that	that	PRON
iajs-3805	129	13	reduces	reduce	VERB
iajs-3805	129	14	the	the	DET
iajs-3805	129	15	value	value	NOUN
iajs-3805	129	16	of	of	ADP
iajs-3805	129	17	cv(h	cv(h	NOUN
iajs-3805	129	18	)	)	PUNCT
iajs-3805	129	19	and	and	CCONJ
iajs-3805	129	20	delete	delete	VERB
iajs-3805	129	21	all	all	DET
iajs-3805	129	22	controls	control	NOUN
iajs-3805	129	23	xi	xi	X
iajs-3805	129	24	and	and	CCONJ
iajs-3805	129	25	yi	yi	PROPN
iajs-3805	129	26	from	from	ADP
iajs-3805	129	27	the	the	DET
iajs-3805	129	28	data	datum	NOUN
iajs-3805	129	29	set	set	VERB
iajs-3805	129	30	and	and	CCONJ
iajs-3805	129	31	prepare	prepare	VERB
iajs-3805	129	32	the	the	DET
iajs-3805	129	33	prediction	prediction	NOUN
iajs-3805	129	34	for	for	ADP
iajs-3805	129	35	the	the	DET
iajs-3805	129	36	remaining	remain	VERB
iajs-3805	129	37	n-1	n-1	NOUN
iajs-3805	129	38	controls	control	NOUN
iajs-3805	129	39	according	accord	VERB
iajs-3805	129	40	to	to	ADP
iajs-3805	129	41	the	the	DET
iajs-3805	129	42	following	follow	VERB
iajs-3805	129	43	formula	formula	NOUN
iajs-3805	129	44	:	:	PUNCT
iajs-3805	129	45	(	(	PUNCT
iajs-3805	129	46	)	)	PUNCT
iajs-3805	129	47	(	(	PUNCT
iajs-3805	129	48	)	)	PUNCT
iajs-3805	129	49	(	(	PUNCT
iajs-3805	129	50	)	)	PUNCT
iajs-3805	129	51	2	2	NUM
iajs-3805	129	52	1	1	NUM
iajs-3805	129	53	1	1	NUM
iajs-3805	129	54	1	1	NUM
iajs-3805	129	55	(	(	PUNCT
iajs-3805	129	56	)	)	PUNCT
iajs-3805	130	1	n	n	CCONJ
iajs-3805	131	1	i	i	PRON
iajs-3805	132	1	i	i	PRON
iajs-3805	133	1	i	i	PRON
iajs-3805	133	2	lcv	lcv	INTJ
iajs-3805	133	3	h	h	NOUN
iajs-3805	133	4	m	m	VERB
iajs-3805	133	5	x	x	VERB
iajs-3805	133	6	y	y	VERB
iajs-3805	133	7	n	n	ADV
iajs-3805	133	8	−	−	NOUN
iajs-3805	134	1	=	=	SYM
iajs-3805	135	1	=	=	SYM
iajs-3805	136	1	−	−	NOUN
iajs-3805	137	1	(	(	PUNCT
iajs-3805	137	2	10	10	NUM
iajs-3805	137	3	)	)	PUNCT
iajs-3805	137	4	(	(	PUNCT
iajs-3805	137	5	)	)	PUNCT
iajs-3805	137	6	(	(	PUNCT
iajs-3805	137	7	)	)	PUNCT
iajs-3805	137	8	1	1	NUM
iajs-3805	137	9	.m	.m	NOUN
iajs-3805	137	10	−	−	PROPN
iajs-3805	137	11	denotes	denote	VERB
iajs-3805	137	12	the	the	DET
iajs-3805	137	13	smoothing	smooth	VERB
iajs-3805	137	14	estimator	estimator	NOUN
iajs-3805	137	15	when	when	SCONJ
iajs-3805	137	16	the	the	DET
iajs-3805	137	17	odd	odd	ADJ
iajs-3805	137	18	data	data	NOUN
iajs-3805	137	19	point	point	NOUN
iajs-3805	137	20	xi	xi	PROPN
iajs-3805	137	21	,	,	PUNCT
iajs-3805	137	22	yi	yi	PROPN
iajs-3805	137	23	is	be	AUX
iajs-3805	137	24	deleted	delete	VERB
iajs-3805	137	25	from	from	ADP
iajs-3805	137	26	the	the	DET
iajs-3805	137	27	dataset	dataset	NOUN
iajs-3805	137	28	,	,	PUNCT
iajs-3805	137	29	and	and	CCONJ
iajs-3805	137	30	only	only	ADV
iajs-3805	137	31	the	the	DET
iajs-3805	137	32	remaining	remain	VERB
iajs-3805	137	33	data	datum	NOUN
iajs-3805	137	34	n-1	n-1	NOUN
iajs-3805	137	35	is	be	AUX
iajs-3805	137	36	used	use	VERB
iajs-3805	137	37	to	to	PART
iajs-3805	137	38	calculate	calculate	VERB
iajs-3805	137	39	this	this	DET
iajs-3805	137	40	estimate	estimate	NOUN
iajs-3805	137	41	,	,	PUNCT
iajs-3805	137	42	this	this	DET
iajs-3805	137	43	calculation	calculation	NOUN
iajs-3805	137	44	depends	depend	VERB
iajs-3805	137	45	on	on	ADP
iajs-3805	137	46	leaving	leave	VERB
iajs-3805	137	47	out	out	ADP
iajs-3805	137	48	of	of	ADP
iajs-3805	137	49	one	one	NUM
iajs-3805	137	50	for	for	ADP
iajs-3805	137	51	regression	regression	NOUN
iajs-3805	137	52	estimates	estimate	NOUN
iajs-3805	137	53	(	(	PUNCT
iajs-3805	137	54	)	)	PUNCT
iajs-3805	137	55	(	(	PUNCT
iajs-3805	137	56	)	)	PUNCT
iajs-3805	137	57	1	1	NUM
iajs-3805	137	58	.m	.m	NOUN
iajs-3805	137	59	−	−	NOUN
iajs-3805	137	60	which	which	PRON
iajs-3805	137	61	can	can	AUX
iajs-3805	137	62	be	be	AUX
iajs-3805	137	63	illustrated	illustrate	VERB
iajs-3805	137	64	by	by	ADP
iajs-3805	137	65	the	the	DET
iajs-3805	137	66	following	follow	VERB
iajs-3805	137	67	equation	equation	NOUN
iajs-3805	137	68	:	:	PUNCT
iajs-3805	137	69	(	(	PUNCT
iajs-3805	137	70	)	)	PUNCT
iajs-3805	137	71	(	(	PUNCT
iajs-3805	137	72	)	)	PUNCT
iajs-3805	137	73	(	(	PUNCT
iajs-3805	137	74	)	)	PUNCT
iajs-3805	137	75	(	(	PUNCT
iajs-3805	137	76	)	)	PUNCT
iajs-3805	137	77	(	(	PUNCT
iajs-3805	137	78	)	)	PUNCT
iajs-3805	137	79	(	(	PUNCT
iajs-3805	137	80	)	)	PUNCT
iajs-3805	137	81	1	1	NUM
iajs-3805	137	82	1	1	NUM
iajs-3805	137	83	1	1	NUM
iajs-3805	137	84	i	i	PRON
iajs-3805	138	1	i	i	PRON
iajs-3805	139	1	i	i	PRON
iajs-3805	140	1	i	i	PRON
iajs-3805	141	1	i	i	PRON
iajs-3805	142	1	i	i	VERB
iajs-3805	143	1	i	i	PRON
iajs-3805	143	2	m	m	VERB
iajs-3805	143	3	x	x	VERB
iajs-3805	143	4	l	l	NOUN
iajs-3805	143	5	x	x	PUNCT
iajs-3805	144	1	y	y	NOUN
iajs-3805	144	2	m	m	VERB
iajs-3805	144	3	x	x	VERB
iajs-3805	144	4	l	l	NOUN
iajs-3805	144	5	x	x	PUNCT
iajs-3805	145	1	−	−	NOUN
iajs-3805	145	2	−	−	NUM
iajs-3805	146	1	−	−	PROPN
iajs-3805	146	2	=	=	SYM
iajs-3805	146	3	−	−	PROPN
iajs-3805	146	4	substituting	substitute	VERB
iajs-3805	146	5	the	the	DET
iajs-3805	146	6	above	above	ADJ
iajs-3805	146	7	equation	equation	NOUN
iajs-3805	146	8	into	into	ADP
iajs-3805	146	9	equation	equation	NOUN
iajs-3805	146	10	(	(	PUNCT
iajs-3805	146	11	10	10	NUM
iajs-3805	146	12	)	)	PUNCT
iajs-3805	146	13	becomes	become	VERB
iajs-3805	146	14	a	a	DET
iajs-3805	146	15	criterion	criterion	NOUN
iajs-3805	146	16	(	(	PUNCT
iajs-3805	146	17	cv)as	cv)as	PRON
iajs-3805	146	18	follows	follow	VERB
iajs-3805	146	19	:	:	PUNCT
iajs-3805	146	20	(	(	PUNCT
iajs-3805	146	21	)	)	PUNCT
iajs-3805	146	22	(	(	PUNCT
iajs-3805	146	23	)	)	PUNCT
iajs-3805	146	24	(	(	PUNCT
iajs-3805	146	25	)	)	PUNCT
iajs-3805	146	26	(	(	PUNCT
iajs-3805	146	27	)	)	PUNCT
iajs-3805	146	28	(	(	PUNCT
iajs-3805	146	29	)	)	PUNCT
iajs-3805	146	30	(	(	PUNCT
iajs-3805	146	31	)	)	PUNCT
iajs-3805	146	32	2	2	NUM
iajs-3805	146	33	1	1	NUM
iajs-3805	146	34	2	2	NUM
iajs-3805	146	35	1	1	NUM
iajs-3805	146	36	1	1	NUM
iajs-3805	146	37	2	2	NUM
iajs-3805	146	38	1	1	NUM
iajs-3805	146	39	n	n	NOUN
iajs-3805	147	1	i	i	PRON
iajs-3805	148	1	i	i	PRON
iajs-3805	149	1	i	i	PRON
iajs-3805	150	1	i	i	VERB
iajs-3805	150	2	y	y	VERB
iajs-3805	150	3	m	m	VERB
iajs-3805	150	4	x	x	ADJ
iajs-3805	150	5	lcv	lcv	PROPN
iajs-3805	150	6	h	h	NOUN
iajs-3805	150	7	l	l	NOUN
iajs-3805	150	8	x	x	PUNCT
iajs-3805	151	1	−	−	PUNCT
iajs-3805	151	2	=	=	SYM
iajs-3805	152	1	−	−	PROPN
iajs-3805	152	2	=	=	SYM
iajs-3805	152	3	−	−	PROPN
iajs-3805	152	4			X
iajs-3805	152	5	naturally	naturally	ADV
iajs-3805	152	6	,	,	PUNCT
iajs-3805	152	7	we	we	PRON
iajs-3805	152	8	choose	choose	VERB
iajs-3805	152	9	the	the	DET
iajs-3805	152	10	bandwidth	bandwidth	NOUN
iajs-3805	152	11	that	that	PRON
iajs-3805	152	12	minimizes	minimize	VERB
iajs-3805	152	13	cv(h	cv(h	NOUN
iajs-3805	152	14	)	)	PUNCT
iajs-3805	152	15	,	,	PUNCT
iajs-3805	152	16	which	which	PRON
iajs-3805	152	17	is	be	AUX
iajs-3805	152	18	known	know	VERB
iajs-3805	152	19	to	to	PART
iajs-3805	152	20	minimize	minimize	VERB
iajs-3805	152	21	the	the	DET
iajs-3805	152	22	kullback	kullback	NOUN
iajs-3805	152	23	-	-	PUNCT
iajs-3805	152	24	leibler	leibler	NOUN
iajs-3805	152	25	distance	distance	NOUN
iajs-3805	152	26	between	between	ADP
iajs-3805	152	27	(	(	PUNCT
iajs-3805	152	28	)	)	PUNCT
iajs-3805	152	29	m	m	NOUN
iajs-3805	152	30	x	x	PUNCT
iajs-3805	152	31	and	and	CCONJ
iajs-3805	152	32	(	(	PUNCT
iajs-3805	152	33	)	)	PUNCT
iajs-3805	152	34	m	m	NOUN
iajs-3805	152	35	x	x	NOUN
iajs-3805	152	36	ihjpas	ihjpas	PROPN
iajs-3805	152	37	.	.	PUNCT
iajs-3805	153	1	2024	2024	NUM
iajs-3805	153	2	,	,	PUNCT
iajs-3805	153	3	37(4	37(4	NOUN
iajs-3805	153	4	)	)	PUNCT
iajs-3805	153	5	413	413	NUM
iajs-3805	153	6	4	4	NUM
iajs-3805	153	7	.	.	PUNCT
iajs-3805	153	8	simulation	simulation	NOUN
iajs-3805	153	9	study	study	VERB
iajs-3805	153	10	the	the	DET
iajs-3805	153	11	primary	primary	ADJ
iajs-3805	153	12	objective	objective	NOUN
iajs-3805	153	13	of	of	ADP
iajs-3805	153	14	this	this	DET
iajs-3805	153	15	research	research	NOUN
iajs-3805	153	16	was	be	AUX
iajs-3805	153	17	to	to	PART
iajs-3805	153	18	conduct	conduct	VERB
iajs-3805	153	19	several	several	ADJ
iajs-3805	153	20	simulation	simulation	NOUN
iajs-3805	153	21	experiments	experiment	NOUN
iajs-3805	153	22	to	to	PART
iajs-3805	153	23	select	select	VERB
iajs-3805	153	24	the	the	DET
iajs-3805	153	25	best	good	ADJ
iajs-3805	153	26	estimators	estimator	NOUN
iajs-3805	153	27	.	.	PUNCT
iajs-3805	154	1	we	we	PRON
iajs-3805	154	2	considered	consider	VERB
iajs-3805	154	3	two	two	NUM
iajs-3805	154	4	regression	regression	NOUN
iajs-3805	154	5	functions	function	NOUN
iajs-3805	154	6	taken	take	VERB
iajs-3805	154	7	from	from	ADP
iajs-3805	154	8	previously	previously	ADV
iajs-3805	154	9	published	publish	VERB
iajs-3805	154	10	research	research	NOUN
iajs-3805	154	11	,	,	PUNCT
iajs-3805	154	12	namely	namely	ADV
iajs-3805	154	13	:	:	PUNCT
iajs-3805	154	14	m(x)=x-3	m(x)=x-3	PROPN
iajs-3805	155	1	[	[	X
iajs-3805	155	2	31	31	NUM
iajs-3805	155	3	]	]	SYM
iajs-3805	155	4	linear	linear	ADJ
iajs-3805	155	5	smoothing	smooth	VERB
iajs-3805	155	6	function	function	NOUN
iajs-3805	155	7	m(x)=x+2exp(-16x2	m(x)=x+2exp(-16x2	NUM
iajs-3805	155	8	)	)	PUNCT
iajs-3805	155	9	nonlinear	nonlinear	ADJ
iajs-3805	155	10	smoothing	smoothing	NOUN
iajs-3805	155	11	function	function	NOUN
iajs-3805	155	12	the	the	DET
iajs-3805	155	13	simulation	simulation	NOUN
iajs-3805	155	14	was	be	AUX
iajs-3805	155	15	performed	perform	VERB
iajs-3805	155	16	on	on	ADP
iajs-3805	155	17	the	the	DET
iajs-3805	155	18	following	follow	VERB
iajs-3805	155	19	two	two	NUM
iajs-3805	155	20	models	model	NOUN
iajs-3805	155	21	:	:	PUNCT
iajs-3805	155	22	y=	y=	NUM
iajs-3805	155	23	m(x-3	m(x-3	VERB
iajs-3805	155	24	)	)	PUNCT
iajs-3805	156	1	+	+	CCONJ
iajs-3805	156	2	e	e	X
iajs-3805	156	3	y	y	NOUN
iajs-3805	156	4	=	=	NOUN
iajs-3805	156	5	exp+2exp(-16x2	exp+2exp(-16x2	X
iajs-3805	156	6	)	)	PUNCT
iajs-3805	157	1	+	+	NOUN
iajs-3805	157	2	e	e	X
iajs-3805	157	3	the	the	DET
iajs-3805	157	4	illustrative	illustrative	ADJ
iajs-3805	157	5	variable	variable	NOUN
iajs-3805	157	6	x	x	PRON
iajs-3805	157	7	was	be	AUX
iajs-3805	157	8	generated	generate	VERB
iajs-3805	157	9	using	use	VERB
iajs-3805	157	10	a	a	DET
iajs-3805	157	11	uniform	uniform	ADJ
iajs-3805	157	12	distribution	distribution	NOUN
iajs-3805	157	13	based	base	VERB
iajs-3805	157	14	on	on	ADP
iajs-3805	157	15	the	the	DET
iajs-3805	157	16	box	box	NOUN
iajs-3805	157	17	-	-	PUNCT
iajs-3805	157	18	muller	muller	NOUN
iajs-3805	157	19	method	method	NOUN
iajs-3805	157	20	,	,	PUNCT
iajs-3805	157	21	while	while	SCONJ
iajs-3805	157	22	the	the	DET
iajs-3805	157	23	random	random	ADJ
iajs-3805	157	24	error	error	NOUN
iajs-3805	157	25	followed	follow	VERB
iajs-3805	157	26	a	a	DET
iajs-3805	157	27	standard	standard	ADJ
iajs-3805	157	28	normal	normal	ADJ
iajs-3805	157	29	distribution	distribution	NOUN
iajs-3805	157	30	with	with	ADP
iajs-3805	157	31	a	a	DET
iajs-3805	157	32	mean	mean	NOUN
iajs-3805	157	33	of	of	ADP
iajs-3805	157	34	zero	zero	NUM
iajs-3805	157	35	and	and	CCONJ
iajs-3805	157	36	a	a	DET
iajs-3805	157	37	variance	variance	NOUN
iajs-3805	157	38	of	of	ADP
iajs-3805	157	39	one	one	NUM
iajs-3805	157	40	.	.	PUNCT
iajs-3805	158	1	for	for	ADP
iajs-3805	158	2	our	our	PRON
iajs-3805	158	3	simulation	simulation	NOUN
iajs-3805	158	4	experiments	experiment	NOUN
iajs-3805	158	5	,	,	PUNCT
iajs-3805	158	6	we	we	PRON
iajs-3805	158	7	employed	employ	VERB
iajs-3805	158	8	five	five	NUM
iajs-3805	158	9	different	different	ADJ
iajs-3805	158	10	sample	sample	NOUN
iajs-3805	158	11	sizes	size	NOUN
iajs-3805	158	12	:	:	PUNCT
iajs-3805	158	13	n=10,30,50,70,100n=10,30,50,70,100	n=10,30,50,70,100n=10,30,50,70,100	VERB
iajs-3805	158	14	for	for	ADP
iajs-3805	158	15	each	each	DET
iajs-3805	158	16	model	model	NOUN
iajs-3805	158	17	.	.	PUNCT
iajs-3805	159	1	the	the	DET
iajs-3805	159	2	experiments	experiment	NOUN
iajs-3805	159	3	were	be	AUX
iajs-3805	159	4	repeated	repeat	VERB
iajs-3805	159	5	r=500	r=500	NUM
iajs-3805	159	6	times	time	NOUN
iajs-3805	159	7	to	to	PART
iajs-3805	159	8	ensure	ensure	VERB
iajs-3805	159	9	accurate	accurate	ADJ
iajs-3805	159	10	results	result	NOUN
iajs-3805	159	11	.	.	PUNCT
iajs-3805	160	1	in	in	ADP
iajs-3805	160	2	the	the	DET
iajs-3805	160	3	estimation	estimation	NOUN
iajs-3805	160	4	of	of	ADP
iajs-3805	160	5	nonparametric	nonparametric	NOUN
iajs-3805	160	6	regression	regression	NOUN
iajs-3805	160	7	functions	function	NOUN
iajs-3805	160	8	,	,	PUNCT
iajs-3805	160	9	we	we	PRON
iajs-3805	160	10	utilized	utilize	VERB
iajs-3805	160	11	the	the	DET
iajs-3805	160	12	following	follow	VERB
iajs-3805	160	13	kernel	kernel	PROPN
iajs-3805	160	14	functions	function	NOUN
iajs-3805	160	15	:	:	PUNCT
iajs-3805	160	16	gaussian	gaussian	NOUN
iajs-3805	160	17	(	(	PUNCT
iajs-3805	160	18	g	g	NOUN
iajs-3805	160	19	)	)	PUNCT
iajs-3805	160	20	,	,	PUNCT
iajs-3805	160	21	epanechnikov	epanechnikov	NOUN
iajs-3805	160	22	(	(	PUNCT
iajs-3805	160	23	e	e	NOUN
iajs-3805	160	24	)	)	PUNCT
iajs-3805	160	25	,	,	PUNCT
iajs-3805	160	26	uniform	uniform	NOUN
iajs-3805	160	27	(	(	PUNCT
iajs-3805	160	28	u	u	NOUN
iajs-3805	160	29	)	)	PUNCT
iajs-3805	160	30	,	,	PUNCT
iajs-3805	160	31	triangular	triangular	NOUN
iajs-3805	160	32	(	(	PUNCT
iajs-3805	160	33	t	t	NOUN
iajs-3805	160	34	)	)	PUNCT
iajs-3805	160	35	,	,	PUNCT
iajs-3805	160	36	and	and	CCONJ
iajs-3805	160	37	quartic	quartic	ADJ
iajs-3805	160	38	(	(	PUNCT
iajs-3805	160	39	q	q	NOUN
iajs-3805	160	40	)	)	PUNCT
iajs-3805	160	41	.	.	PUNCT
iajs-3805	161	1	to	to	PART
iajs-3805	161	2	compare	compare	VERB
iajs-3805	161	3	the	the	DET
iajs-3805	161	4	models	model	NOUN
iajs-3805	161	5	,	,	PUNCT
iajs-3805	161	6	we	we	PRON
iajs-3805	161	7	employed	employ	VERB
iajs-3805	161	8	the	the	DET
iajs-3805	161	9	mean	mean	ADJ
iajs-3805	161	10	absolute	absolute	ADJ
iajs-3805	161	11	percentage	percentage	NOUN
iajs-3805	161	12	error	error	NOUN
iajs-3805	161	13	(	(	PUNCT
iajs-3805	161	14	mape	mape	NOUN
iajs-3805	161	15	)	)	PUNCT
iajs-3805	162	1	[	[	X
iajs-3805	162	2	48	48	NUM
iajs-3805	162	3	]	]	PUNCT
iajs-3805	162	4	.	.	PUNCT
iajs-3805	163	1	this	this	DET
iajs-3805	163	2	rigorous	rigorous	ADJ
iajs-3805	163	3	approach	approach	NOUN
iajs-3805	163	4	allowed	allow	VERB
iajs-3805	163	5	us	we	PRON
iajs-3805	163	6	to	to	PART
iajs-3805	163	7	make	make	VERB
iajs-3805	163	8	meaningful	meaningful	ADJ
iajs-3805	163	9	comparisons	comparison	NOUN
iajs-3805	163	10	between	between	ADP
iajs-3805	163	11	the	the	DET
iajs-3805	163	12	different	different	ADJ
iajs-3805	163	13	models	model	NOUN
iajs-3805	163	14	and	and	CCONJ
iajs-3805	163	15	assess	assess	VERB
iajs-3805	163	16	their	their	PRON
iajs-3805	163	17	performance	performance	NOUN
iajs-3805	163	18	effectively	effectively	ADV
iajs-3805	163	19	.	.	PUNCT
iajs-3805	163	20	"	"	PUNCT
iajs-3805	164	1	1	1	NUM
iajs-3805	164	2	1	1	NUM
iajs-3805	164	3	1	1	NUM
iajs-3805	164	4	1	1	NUM
iajs-3805	164	5	r	r	NOUN
iajs-3805	164	6	i	i	PRON
iajs-3805	164	7	n	n	NOUN
iajs-3805	164	8	i	i	PROPN
iajs-3805	164	9	amape	amape	NOUN
iajs-3805	164	10	mape	mape	NOUN
iajs-3805	164	11	r	r	NOUN
iajs-3805	164	12	where	where	SCONJ
iajs-3805	164	13	y	y	PROPN
iajs-3805	164	14	y	y	PROPN
iajs-3805	164	15	mape	mape	PROPN
iajs-3805	164	16	n	n	PROPN
iajs-3805	164	17	y	y	NOUN
iajs-3805	164	18	=	=	PUNCT
iajs-3805	165	1	=	=	PUNCT
iajs-3805	165	2	=	=	PUNCT
iajs-3805	165	3	−	−	PROPN
iajs-3805	165	4	=	=	SYM
iajs-3805	165	5			X
iajs-3805	165	6			X
iajs-3805	165	7	n=	n=	ADJ
iajs-3805	165	8	sample	sample	NOUN
iajs-3805	165	9	size	size	NOUN
iajs-3805	165	10	,	,	PUNCT
iajs-3805	165	11	y	y	PROPN
iajs-3805	165	12	=	=	NOUN
iajs-3805	165	13	real	real	ADJ
iajs-3805	165	14	values	value	NOUN
iajs-3805	165	15	�	�	NOUN
iajs-3805	165	16	̂	̂	NOUN
iajs-3805	165	17	�	�	NOUN
iajs-3805	165	18	=estimator	=estimator	NOUN
iajs-3805	165	19	values	value	NOUN
iajs-3805	165	20	,	,	PUNCT
iajs-3805	165	21	r	r	NOUN
iajs-3805	165	22	=	=	NOUN
iajs-3805	165	23	is	be	AUX
iajs-3805	165	24	the	the	DET
iajs-3805	165	25	replication	replication	NOUN
iajs-3805	165	26	and	and	CCONJ
iajs-3805	165	27	used	use	VERB
iajs-3805	165	28	(	(	PUNCT
iajs-3805	165	29	cv	cv	PROPN
iajs-3805	165	30	)	)	PUNCT
iajs-3805	165	31	to	to	PART
iajs-3805	165	32	find	find	VERB
iajs-3805	165	33	the	the	DET
iajs-3805	165	34	smoothing	smooth	VERB
iajs-3805	165	35	bandwidth	bandwidth	NOUN
iajs-3805	165	36	for	for	ADP
iajs-3805	165	37	the	the	DET
iajs-3805	165	38	nonparametric	nonparametric	ADJ
iajs-3805	165	39	estimators	estimator	NOUN
iajs-3805	165	40	5	5	NUM
iajs-3805	165	41	.	.	NOUN
iajs-3805	165	42	results	result	NOUN
iajs-3805	165	43	and	and	CCONJ
iajs-3805	165	44	discussion	discussion	NOUN
iajs-3805	165	45	in	in	ADP
iajs-3805	165	46	our	our	PRON
iajs-3805	165	47	research	research	NOUN
iajs-3805	165	48	,	,	PUNCT
iajs-3805	165	49	we	we	PRON
iajs-3805	165	50	utilized	utilize	VERB
iajs-3805	165	51	matlab	matlab	PROPN
iajs-3805	165	52	19	19	NUM
iajs-3805	165	53	for	for	ADP
iajs-3805	165	54	the	the	DET
iajs-3805	165	55	thorough	thorough	ADJ
iajs-3805	165	56	analysis	analysis	NOUN
iajs-3805	165	57	of	of	ADP
iajs-3805	165	58	results	result	NOUN
iajs-3805	165	59	obtained	obtain	VERB
iajs-3805	165	60	from	from	ADP
iajs-3805	165	61	each	each	DET
iajs-3805	165	62	model	model	NOUN
iajs-3805	165	63	.	.	PUNCT
iajs-3805	166	1	first	first	ADJ
iajs-3805	166	2	model	model	NOUN
iajs-3805	166	3	we	we	PRON
iajs-3805	166	4	utilized	utilize	VERB
iajs-3805	166	5	a	a	DET
iajs-3805	166	6	simple	simple	ADJ
iajs-3805	166	7	linear	linear	NOUN
iajs-3805	166	8	model	model	NOUN
iajs-3805	166	9	for	for	ADP
iajs-3805	166	10	the	the	DET
iajs-3805	166	11	smoothing	smooth	VERB
iajs-3805	166	12	nw	nw	PROPN
iajs-3805	166	13	nadaraya	nadaraya	PROPN
iajs-3805	166	14	-	-	PUNCT
iajs-3805	166	15	watsonestimator	watsonestimator	NOUN
iajs-3805	166	16	,	,	PUNCT
iajs-3805	166	17	lp1	lp1	PROPN
iajs-3805	166	18	local	local	ADJ
iajs-3805	166	19	linear	linear	PROPN
iajs-3805	166	20	estimator	estimator	NOUN
iajs-3805	166	21	,	,	PUNCT
iajs-3805	166	22	lp2	lp2	PROPN
iajs-3805	166	23	local	local	ADJ
iajs-3805	166	24	quadratic	quadratic	ADJ
iajs-3805	166	25	estimator	estimator	NOUN
iajs-3805	166	26	,	,	PUNCT
iajs-3805	166	27	and	and	CCONJ
iajs-3805	166	28	lp3	lp3	NOUN
iajs-3805	166	29	local	local	ADJ
iajs-3805	166	30	cubic	cubic	ADJ
iajs-3805	166	31	estimator	estimator	NOUN
iajs-3805	166	32	and	and	CCONJ
iajs-3805	166	33	the	the	DET
iajs-3805	166	34	results	result	NOUN
iajs-3805	166	35	are	be	AUX
iajs-3805	166	36	in	in	ADP
iajs-3805	166	37	the	the	DET
iajs-3805	166	38	table	table	NOUN
iajs-3805	166	39	below	below	ADV
iajs-3805	166	40	:	:	PUNCT
iajs-3805	166	41	table	table	NOUN
iajs-3805	166	42	1	1	NUM
iajs-3805	166	43	.	.	X
iajs-3805	166	44	mape	mape	NOUN
iajs-3805	166	45	for	for	ADP
iajs-3805	166	46	nonparametric	nonparametric	NOUN
iajs-3805	166	47	estimators	estimator	NOUN
iajs-3805	166	48	’	'	PUNCT
iajs-3805	166	49	size	size	NOUN
iajs-3805	166	50	(	(	PUNCT
iajs-3805	166	51	n=10,30,50,70,100	n=10,30,50,70,100	NOUN
iajs-3805	166	52	)	)	PUNCT
iajs-3805	166	53	for	for	ADP
iajs-3805	166	54	the	the	DET
iajs-3805	166	55	first	first	ADJ
iajs-3805	166	56	model	model	NOUN
iajs-3805	166	57	methods	method	NOUN
iajs-3805	166	58	kernel	kernel	PROPN
iajs-3805	166	59	function	function	PROPN
iajs-3805	166	60	nw	nw	PROPN
iajs-3805	166	61	lp1	lp1	PROPN
iajs-3805	166	62	lp2	lp2	PROPN
iajs-3805	166	63	lp3	lp3	PROPN
iajs-3805	166	64	best	good	ADJ
iajs-3805	166	65	g	g	PROPN
iajs-3805	166	66	10	10	NUM
iajs-3805	166	67	0.642346	0.642346	NUM
iajs-3805	166	68	1.003498	1.003498	NUM
iajs-3805	166	69	0.581124	0.581124	NUM
iajs-3805	166	70	0.665476	0.665476	NUM
iajs-3805	166	71	lp2(g	lp2(g	PROPN
iajs-3805	166	72	)	)	PUNCT
iajs-3805	166	73	e	e	NOUN
iajs-3805	166	74	0.634757	0.634757	NUM
iajs-3805	166	75	0.558149	0.558149	NUM
iajs-3805	166	76	0.574258	0.574258	NUM
iajs-3805	166	77	0.665494	0.665494	NUM
iajs-3805	166	78	lp1(e	lp1(e	NOUN
iajs-3805	166	79	)	)	PUNCT
iajs-3805	166	80	u	u	NOUN
iajs-3805	166	81	0.613096	0.613096	NOUN
iajs-3805	167	1	0.442113	0.442113	NUM
iajs-3805	167	2	0.554662	0.554662	NUM
iajs-3805	167	3	0.667669	0.667669	NUM
iajs-3805	167	4	lp1(u	lp1(u	PROPN
iajs-3805	167	5	)	)	PUNCT
iajs-3805	167	6	t	t	PROPN
iajs-3805	167	7	0.621812	0.621812	NUM
iajs-3805	167	8	0.341636	0.341636	NUM
iajs-3805	167	9	0.562547	0.562547	NUM
iajs-3805	167	10	0.668542	0.668542	NUM
iajs-3805	167	11	lp1(t	lp1(t	NOUN
iajs-3805	167	12	)	)	PUNCT
iajs-3805	167	13	q	q	NOUN
iajs-3805	168	1	0.619036	0.619036	NUM
iajs-3805	168	2	0.318724	0.318724	NUM
iajs-3805	168	3	0.560036	0.560036	NUM
iajs-3805	168	4	0.669462	0.669462	NUM
iajs-3805	168	5	lp1(q	lp1(q	CCONJ
iajs-3805	168	6	)	)	PUNCT
iajs-3805	168	7	best	good	ADJ
iajs-3805	168	8	nw(u	nw(u	NOUN
iajs-3805	168	9	)	)	PUNCT
iajs-3805	168	10	lp1(q	lp1(q	PROPN
iajs-3805	168	11	)	)	PUNCT
iajs-3805	168	12	lp2(u	lp2(u	PROPN
iajs-3805	168	13	)	)	PUNCT
iajs-3805	168	14	lp3(g	lp3(g	PROPN
iajs-3805	168	15	)	)	PUNCT
iajs-3805	168	16	lp1(q	lp1(q	NOUN
iajs-3805	168	17	)	)	PUNCT
iajs-3805	168	18	ihjpas	ihjpas	PROPN
iajs-3805	168	19	.	.	PUNCT
iajs-3805	169	1	2024	2024	NUM
iajs-3805	169	2	,	,	PUNCT
iajs-3805	169	3	37(4	37(4	X
iajs-3805	169	4	)	)	PUNCT
iajs-3805	169	5	414	414	NUM
iajs-3805	169	6	g	g	NOUN
iajs-3805	169	7	30	30	NUM
iajs-3805	169	8	0.545729	0.545729	NUM
iajs-3805	169	9	0.93469	0.93469	NUM
iajs-3805	169	10	0.519102	0.519102	NUM
iajs-3805	169	11	0.818688	0.818688	NUM
iajs-3805	169	12	lp2(g	lp2(g	PROPN
iajs-3805	169	13	)	)	PUNCT
iajs-3805	169	14	e	e	NOUN
iajs-3805	169	15	0.548701	0.548701	NUM
iajs-3805	169	16	0.556902	0.556902	NUM
iajs-3805	169	17	0.521929	0.521929	NUM
iajs-3805	169	18	0.823759	0.823759	NUM
iajs-3805	169	19	lp2(e	lp2(e	NOUN
iajs-3805	169	20	)	)	PUNCT
iajs-3805	169	21	u	u	NOUN
iajs-3805	169	22	0.555327	0.555327	NUM
iajs-3805	169	23	0.442176	0.442176	NUM
iajs-3805	169	24	0.528232	0.528232	NUM
iajs-3805	169	25	0.81483	0.81483	NUM
iajs-3805	169	26	lp1(u	lp1(u	PROPN
iajs-3805	169	27	)	)	PUNCT
iajs-3805	169	28	t	t	NOUN
iajs-3805	169	29	0.552742	0.552742	NUM
iajs-3805	169	30	0.350689	0.350689	NUM
iajs-3805	169	31	0.525774	0.525774	NUM
iajs-3805	169	32	0.817275	0.817275	NUM
iajs-3805	169	33	lp1(t	lp1(t	NOUN
iajs-3805	169	34	)	)	PUNCT
iajs-3805	169	35	q	q	NOUN
iajs-3805	170	1	0.55185	0.55185	NUM
iajs-3805	170	2	0.327352	0.327352	NUM
iajs-3805	170	3	0.524925	0.524925	NUM
iajs-3805	170	4	0.8121	0.8121	NUM
iajs-3805	170	5	lp1(q	lp1(q	NOUN
iajs-3805	170	6	)	)	PUNCT
iajs-3805	170	7	best	good	ADJ
iajs-3805	170	8	nw(g	nw(g	NOUN
iajs-3805	170	9	)	)	PUNCT
iajs-3805	170	10	lp1(q	lp1(q	NOUN
iajs-3805	170	11	)	)	PUNCT
iajs-3805	170	12	lp2(g	lp2(g	PROPN
iajs-3805	170	13	)	)	PUNCT
iajs-3805	170	14	lp3(q	lp3(q	PROPN
iajs-3805	170	15	)	)	PUNCT
iajs-3805	170	16	lp1(q	lp1(q	NOUN
iajs-3805	170	17	)	)	PUNCT
iajs-3805	170	18	g	g	ADP
iajs-3805	170	19	50	50	NUM
iajs-3805	170	20	0.532882	0.532882	NUM
iajs-3805	170	21	0.920043	0.920043	NUM
iajs-3805	170	22	0.515409	0.515409	NUM
iajs-3805	170	23	0.875729	0.875729	NUM
iajs-3805	170	24	lp2(g	lp2(g	PROPN
iajs-3805	170	25	)	)	PUNCT
iajs-3805	170	26	e	e	NOUN
iajs-3805	170	27	0.534376	0.534376	NUM
iajs-3805	170	28	0.555453	0.555453	NUM
iajs-3805	170	29	0.516854	0.516854	NUM
iajs-3805	170	30	0.874997	0.874997	NUM
iajs-3805	170	31	lp2(e	lp2(e	NOUN
iajs-3805	170	32	)	)	PUNCT
iajs-3805	170	33	u	u	NOUN
iajs-3805	170	34	0.535663	0.535663	NUM
iajs-3805	170	35	0.442501	0.442501	NUM
iajs-3805	170	36	0.518098	0.518098	NUM
iajs-3805	170	37	0.876267	0.876267	NUM
iajs-3805	170	38	lp1(u	lp1(u	PROPN
iajs-3805	170	39	)	)	PUNCT
iajs-3805	170	40	t	t	NOUN
iajs-3805	171	1	0.539932	0.539932	NUM
iajs-3805	171	2	0.348913	0.348913	NUM
iajs-3805	171	3	0.522227	0.522227	NUM
iajs-3805	171	4	0.872257	0.872257	NUM
iajs-3805	171	5	lp1(t	lp1(t	NOUN
iajs-3805	171	6	)	)	PUNCT
iajs-3805	172	1	q	q	NOUN
iajs-3805	173	1	0.534709	0.534709	NUM
iajs-3805	173	2	0.326183	0.326183	NUM
iajs-3805	173	3	0.517176	0.517176	NUM
iajs-3805	173	4	0.8794	0.8794	NUM
iajs-3805	173	5	lp1(q	lp1(q	NOUN
iajs-3805	173	6	)	)	PUNCT
iajs-3805	173	7	best	good	ADJ
iajs-3805	173	8	nw(g	nw(g	NOUN
iajs-3805	173	9	)	)	PUNCT
iajs-3805	173	10	lp1(q	lp1(q	NOUN
iajs-3805	173	11	)	)	PUNCT
iajs-3805	173	12	lp2(g	lp2(g	PROPN
iajs-3805	173	13	)	)	PUNCT
iajs-3805	173	14	lp3(t	lp3(t	PROPN
iajs-3805	173	15	)	)	PUNCT
iajs-3805	173	16	lp1(q	lp1(q	NOUN
iajs-3805	173	17	)	)	PUNCT
iajs-3805	173	18	g	g	ADP
iajs-3805	173	19	70	70	NUM
iajs-3805	173	20	0.526177	0.526177	NUM
iajs-3805	173	21	0.913865	0.913865	NUM
iajs-3805	173	22	0.513184	0.513184	NUM
iajs-3805	173	23	0.903238	0.903238	NUM
iajs-3805	173	24	lp2(g	lp2(g	PROPN
iajs-3805	173	25	)	)	PUNCT
iajs-3805	173	26	e	e	NOUN
iajs-3805	173	27	0.527437	0.527437	NUM
iajs-3805	173	28	0.554494	0.554494	NUM
iajs-3805	173	29	0.514414	0.514414	NUM
iajs-3805	173	30	0.903668	0.903668	NUM
iajs-3805	173	31	lp2(e	lp2(e	NOUN
iajs-3805	173	32	)	)	PUNCT
iajs-3805	173	33	u	u	NOUN
iajs-3805	173	34	0.525973	0.525973	NUM
iajs-3805	173	35	0.444323	0.444323	NUM
iajs-3805	173	36	0.512985	0.512985	NUM
iajs-3805	173	37	0.904481	0.904481	NUM
iajs-3805	173	38	lp1(u	lp1(u	PROPN
iajs-3805	173	39	)	)	PUNCT
iajs-3805	173	40	t	t	NOUN
iajs-3805	173	41	0.526167	0.526167	NUM
iajs-3805	173	42	0.353313	0.353313	NUM
iajs-3805	173	43	0.513174	0.513174	NUM
iajs-3805	173	44	0.905332	0.905332	NUM
iajs-3805	173	45	lp1(t	lp1(t	PROPN
iajs-3805	173	46	)	)	PUNCT
iajs-3805	173	47	q	q	NOUN
iajs-3805	174	1	0.529208	0.529208	NUM
iajs-3805	174	2	0.326448	0.326448	NUM
iajs-3805	174	3	0.51614	0.51614	NUM
iajs-3805	174	4	0.904708	0.904708	NUM
iajs-3805	174	5	lp1(q	lp1(q	NOUN
iajs-3805	174	6	)	)	PUNCT
iajs-3805	174	7	best	good	ADJ
iajs-3805	174	8	nw(u	nw(u	NOUN
iajs-3805	174	9	)	)	PUNCT
iajs-3805	174	10	lp1(q	lp1(q	PROPN
iajs-3805	174	11	)	)	PUNCT
iajs-3805	174	12	lp2(u	lp2(u	PROPN
iajs-3805	174	13	)	)	PUNCT
iajs-3805	174	14	lp3(e	lp3(e	NOUN
iajs-3805	174	15	)	)	PUNCT
iajs-3805	174	16	lp1(q	lp1(q	NOUN
iajs-3805	174	17	)	)	PUNCT
iajs-3805	174	18	g	g	ADP
iajs-3805	174	19	100	100	NUM
iajs-3805	174	20	0.522963	0.522963	NUM
iajs-3805	174	21	0.908445	0.908445	NUM
iajs-3805	174	22	0.512607	0.512607	NUM
iajs-3805	174	23	0.923784	0.923784	NUM
iajs-3805	174	24	lp2(g	lp2(g	PROPN
iajs-3805	174	25	)	)	PUNCT
iajs-3805	174	26	e	e	NOUN
iajs-3805	174	27	0.524939	0.524939	NUM
iajs-3805	174	28	0.552334	0.552334	NUM
iajs-3805	174	29	0.514544	0.514544	NUM
iajs-3805	174	30	0.923153	0.923153	NUM
iajs-3805	174	31	lp2(e	lp2(e	NOUN
iajs-3805	174	32	)	)	PUNCT
iajs-3805	174	33	u	u	NOUN
iajs-3805	174	34	0.522031	0.522031	NUM
iajs-3805	174	35	0.443607	0.443607	NUM
iajs-3805	174	36	0.511694	0.511694	NUM
iajs-3805	174	37	0.922888	0.922888	NUM
iajs-3805	174	38	lp1(u	lp1(u	PROPN
iajs-3805	174	39	)	)	PUNCT
iajs-3805	174	40	t	t	PROPN
iajs-3805	175	1	0.522288	0.522288	NUM
iajs-3805	175	2	0.353527	0.353527	NUM
iajs-3805	175	3	0.511945	0.511945	NUM
iajs-3805	175	4	0.92167	0.92167	NUM
iajs-3805	175	5	lp1(t	lp1(t	NOUN
iajs-3805	175	6	)	)	PUNCT
iajs-3805	176	1	q	q	NOUN
iajs-3805	176	2	0.521718	0.521718	NUM
iajs-3805	176	3	0.328334	0.328334	NUM
iajs-3805	176	4	0.511387	0.511387	NUM
iajs-3805	176	5	0.924304	0.924304	NUM
iajs-3805	176	6	lp1(q	lp1(q	NOUN
iajs-3805	176	7	)	)	PUNCT
iajs-3805	176	8	best	good	ADJ
iajs-3805	176	9	nw(q	nw(q	NUM
iajs-3805	176	10	)	)	PUNCT
iajs-3805	176	11	lp1(q	lp1(q	PROPN
iajs-3805	176	12	)	)	PUNCT
iajs-3805	176	13	lp2(q	lp2(q	PROPN
iajs-3805	176	14	)	)	PUNCT
iajs-3805	176	15	lp3(t	lp3(t	PROPN
iajs-3805	176	16	)	)	PUNCT
iajs-3805	176	17	lp1(q	lp1(q	PROPN
iajs-3805	176	18	)	)	PUNCT
iajs-3805	176	19	the	the	DET
iajs-3805	176	20	results	result	NOUN
iajs-3805	176	21	of	of	ADP
iajs-3805	176	22	the	the	DET
iajs-3805	176	23	first	first	ADJ
iajs-3805	176	24	model	model	NOUN
iajs-3805	176	25	showed	show	VERB
iajs-3805	176	26	that	that	SCONJ
iajs-3805	176	27	in	in	ADP
iajs-3805	176	28	the	the	DET
iajs-3805	176	29	table	table	NOUN
iajs-3805	176	30	(	(	PUNCT
iajs-3805	176	31	1	1	X
iajs-3805	176	32	)	)	PUNCT
iajs-3805	176	33	we	we	PRON
iajs-3805	176	34	note	note	VERB
iajs-3805	176	35	:	:	PUNCT
iajs-3805	176	36	1each	1each	NUM
iajs-3805	176	37	function	function	NOUN
iajs-3805	176	38	will	will	AUX
iajs-3805	176	39	be	be	AUX
iajs-3805	176	40	compared	compare	VERB
iajs-3805	176	41	with	with	ADP
iajs-3805	176	42	the	the	DET
iajs-3805	176	43	methods	method	NOUN
iajs-3805	176	44	at	at	ADP
iajs-3805	176	45	size	size	NOUN
iajs-3805	176	46	10	10	NUM
iajs-3805	176	47	for	for	ADP
iajs-3805	176	48	function	function	NOUN
iajs-3805	176	49	g	g	PROPN
iajs-3805	176	50	the	the	DET
iajs-3805	176	51	lp2	lp2	PROPN
iajs-3805	176	52	method	method	NOUN
iajs-3805	176	53	is	be	AUX
iajs-3805	176	54	better	well	ADJ
iajs-3805	176	55	.	.	PUNCT
iajs-3805	177	1	for	for	ADP
iajs-3805	177	2	functions	function	NOUN
iajs-3805	177	3	(	(	PUNCT
iajs-3805	177	4	e	e	NOUN
iajs-3805	177	5	,	,	PUNCT
iajs-3805	177	6	u	u	NOUN
iajs-3805	177	7	,	,	PUNCT
iajs-3805	177	8	t	t	PROPN
iajs-3805	177	9	,	,	PUNCT
iajs-3805	177	10	q	q	PROPN
iajs-3805	177	11	)	)	PUNCT
iajs-3805	177	12	the	the	DET
iajs-3805	177	13	lp1	lp1	PROPN
iajs-3805	177	14	method	method	NOUN
iajs-3805	177	15	is	be	AUX
iajs-3805	177	16	better	well	ADJ
iajs-3805	177	17	.	.	PUNCT
iajs-3805	178	1	each	each	DET
iajs-3805	178	2	function	function	NOUN
iajs-3805	178	3	will	will	AUX
iajs-3805	178	4	be	be	AUX
iajs-3805	178	5	compared	compare	VERB
iajs-3805	178	6	with	with	ADP
iajs-3805	178	7	the	the	DET
iajs-3805	178	8	methods	method	NOUN
iajs-3805	178	9	at	at	ADP
iajs-3805	178	10	size	size	NOUN
iajs-3805	178	11	30,50,70,100	30,50,70,100	NUM
iajs-3805	178	12	for	for	ADP
iajs-3805	178	13	function	function	NOUN
iajs-3805	178	14	(	(	PUNCT
iajs-3805	178	15	g	g	NOUN
iajs-3805	178	16	,	,	PUNCT
iajs-3805	178	17	e	e	NOUN
iajs-3805	178	18	)	)	PUNCT
iajs-3805	178	19	the	the	DET
iajs-3805	178	20	lp2	lp2	PROPN
iajs-3805	178	21	method	method	NOUN
iajs-3805	178	22	is	be	AUX
iajs-3805	178	23	better	well	ADJ
iajs-3805	178	24	.	.	PUNCT
iajs-3805	179	1	for	for	ADP
iajs-3805	179	2	function	function	NOUN
iajs-3805	179	3	(	(	PUNCT
iajs-3805	179	4	u	u	NOUN
iajs-3805	179	5	,	,	PUNCT
iajs-3805	179	6	t	t	PROPN
iajs-3805	179	7	,	,	PUNCT
iajs-3805	179	8	q	q	PROPN
iajs-3805	179	9	)	)	PUNCT
iajs-3805	179	10	the	the	DET
iajs-3805	179	11	lp1	lp1	PROPN
iajs-3805	179	12	method	method	NOUN
iajs-3805	179	13	is	be	AUX
iajs-3805	179	14	better	well	ADJ
iajs-3805	179	15	2we	2we	NOUN
iajs-3805	179	16	find	find	VERB
iajs-3805	179	17	that	that	SCONJ
iajs-3805	179	18	the	the	DET
iajs-3805	179	19	best	good	ADJ
iajs-3805	179	20	for	for	ADP
iajs-3805	179	21	all	all	DET
iajs-3805	179	22	methods	method	NOUN
iajs-3805	179	23	,	,	PUNCT
iajs-3805	179	24	for	for	ADP
iajs-3805	179	25	all	all	DET
iajs-3805	179	26	functions	function	NOUN
iajs-3805	179	27	,	,	PUNCT
iajs-3805	179	28	and	and	CCONJ
iajs-3805	179	29	for	for	ADP
iajs-3805	179	30	all	all	DET
iajs-3805	179	31	sizes	size	NOUN
iajs-3805	179	32	is	be	AUX
iajs-3805	179	33	:	:	PUNCT
iajs-3805	179	34	lp1(q	lp1(q	NUM
iajs-3805	179	35	)	)	PUNCT
iajs-3805	179	36	3mape	3mape	NUM
iajs-3805	179	37	values	value	NOUN
iajs-3805	179	38	decrease	decrease	NOUN
iajs-3805	179	39	when	when	SCONJ
iajs-3805	179	40	the	the	DET
iajs-3805	179	41	sample	sample	NOUN
iajs-3805	179	42	size	size	NOUN
iajs-3805	179	43	increases	increase	VERB
iajs-3805	179	44	for	for	ADP
iajs-3805	179	45	most	most	ADJ
iajs-3805	179	46	estimators	estimator	NOUN
iajs-3805	179	47	.	.	PUNCT
iajs-3805	180	1	4to	4to	NOUN
iajs-3805	180	2	compare	compare	VERB
iajs-3805	180	3	the	the	DET
iajs-3805	180	4	best	good	ADJ
iajs-3805	180	5	functions	function	NOUN
iajs-3805	180	6	for	for	ADP
iajs-3805	180	7	each	each	DET
iajs-3805	180	8	estimator	estimator	NOUN
iajs-3805	180	9	,	,	PUNCT
iajs-3805	180	10	for	for	ADP
iajs-3805	180	11	the	the	DET
iajs-3805	180	12	estimator	estimator	PROPN
iajs-3805	180	13	nadaraya	nadaraya	PROPN
iajs-3805	180	14	watson	watson	PROPN
iajs-3805	180	15	,	,	PUNCT
iajs-3805	180	16	the	the	DET
iajs-3805	180	17	lowest	low	ADJ
iajs-3805	180	18	value	value	NOUN
iajs-3805	180	19	of	of	ADP
iajs-3805	180	20	mape	mape	NOUN
iajs-3805	180	21	was	be	AUX
iajs-3805	180	22	when	when	SCONJ
iajs-3805	180	23	n=100	n=100	NUM
iajs-3805	180	24	at	at	ADP
iajs-3805	180	25	the	the	DET
iajs-3805	180	26	function	function	NOUN
iajs-3805	180	27	quartic	quartic	ADJ
iajs-3805	180	28	(	(	PUNCT
iajs-3805	180	29	q	q	NOUN
iajs-3805	180	30	)	)	PUNCT
iajs-3805	180	31	5for	5for	ADP
iajs-3805	180	32	the	the	DET
iajs-3805	180	33	local	local	ADJ
iajs-3805	180	34	linear	linear	PROPN
iajs-3805	180	35	lp1	lp1	PROPN
iajs-3805	180	36	estimator	estimator	NOUN
iajs-3805	180	37	,	,	PUNCT
iajs-3805	180	38	the	the	DET
iajs-3805	180	39	lowest	low	ADJ
iajs-3805	180	40	value	value	NOUN
iajs-3805	180	41	of	of	ADP
iajs-3805	180	42	mape	mape	NOUN
iajs-3805	180	43	for	for	ADP
iajs-3805	180	44	all	all	DET
iajs-3805	180	45	sizes	size	NOUN
iajs-3805	180	46	was	be	AUX
iajs-3805	180	47	the	the	DET
iajs-3805	180	48	quartic	quartic	ADJ
iajs-3805	180	49	(	(	PUNCT
iajs-3805	180	50	q	q	NOUN
iajs-3805	180	51	)	)	PUNCT
iajs-3805	180	52	6	6	NUM
iajs-3805	180	53	-	-	PUNCT
iajs-3805	180	54	for	for	ADP
iajs-3805	180	55	the	the	DET
iajs-3805	180	56	local	local	ADJ
iajs-3805	180	57	quadratic	quadratic	ADJ
iajs-3805	180	58	lp2	lp2	PROPN
iajs-3805	180	59	estimator	estimator	NOUN
iajs-3805	180	60	,	,	PUNCT
iajs-3805	180	61	the	the	DET
iajs-3805	180	62	lowest	low	ADJ
iajs-3805	180	63	value	value	NOUN
iajs-3805	180	64	of	of	ADP
iajs-3805	180	65	mape	mape	NOUN
iajs-3805	180	66	when	when	SCONJ
iajs-3805	180	67	n=100	n=100	X
iajs-3805	180	68	is	be	AUX
iajs-3805	180	69	the	the	DET
iajs-3805	180	70	function	function	NOUN
iajs-3805	180	71	quartic	quartic	ADJ
iajs-3805	180	72	(	(	PUNCT
iajs-3805	180	73	q	q	NOUN
iajs-3805	180	74	)	)	PUNCT
iajs-3805	180	75	7	7	NUM
iajs-3805	180	76	-	-	PUNCT
iajs-3805	180	77	for	for	ADP
iajs-3805	180	78	the	the	DET
iajs-3805	180	79	lp3	lp3	PROPN
iajs-3805	180	80	estimator	estimator	NOUN
iajs-3805	180	81	,	,	PUNCT
iajs-3805	180	82	the	the	DET
iajs-3805	180	83	lowest	low	ADJ
iajs-3805	180	84	value	value	NOUN
iajs-3805	180	85	of	of	ADP
iajs-3805	180	86	mape	mape	NOUN
iajs-3805	180	87	was	be	AUX
iajs-3805	180	88	when	when	SCONJ
iajs-3805	180	89	n	n	X
iajs-3805	180	90	=	=	SYM
iajs-3805	180	91	10	10	NUM
iajs-3805	180	92	,	,	PUNCT
iajs-3805	180	93	which	which	PRON
iajs-3805	180	94	is	be	AUX
iajs-3805	180	95	the	the	DET
iajs-3805	180	96	function	function	NOUN
iajs-3805	180	97	gaussian	gaussian	NOUN
iajs-3805	180	98	(	(	PUNCT
iajs-3805	180	99	g	g	NOUN
iajs-3805	180	100	)	)	PUNCT
iajs-3805	180	101	8	8	NUM
iajs-3805	180	102	-	-	NUM
iajs-3805	180	103	the	the	DET
iajs-3805	180	104	worst	bad	ADJ
iajs-3805	180	105	estimators	estimator	NOUN
iajs-3805	180	106	were	be	AUX
iajs-3805	180	107	lp3	lp3	NOUN
iajs-3805	180	108	for	for	ADP
iajs-3805	180	109	all	all	DET
iajs-3805	180	110	functions	function	NOUN
iajs-3805	180	111	and	and	CCONJ
iajs-3805	180	112	all	all	DET
iajs-3805	180	113	size	size	NOUN
iajs-3805	180	114	figures	figure	VERB
iajs-3805	180	115	1	1	NUM
iajs-3805	180	116	-	-	SYM
iajs-3805	180	117	5	5	NUM
iajs-3805	180	118	illustrate	illustrate	VERB
iajs-3805	180	119	what	what	PRON
iajs-3805	180	120	was	be	AUX
iajs-3805	180	121	mentioned	mention	VERB
iajs-3805	180	122	above	above	ADP
iajs-3805	180	123	ihjpas	ihjpas	PROPN
iajs-3805	180	124	.	.	PUNCT
iajs-3805	181	1	2024	2024	NUM
iajs-3805	181	2	,	,	PUNCT
iajs-3805	181	3	37(4	37(4	NOUN
iajs-3805	181	4	)	)	PUNCT
iajs-3805	181	5	415	415	NUM
iajs-3805	181	6	figure	figure	NOUN
iajs-3805	181	7	1	1	NUM
iajs-3805	181	8	.	.	NOUN
iajs-3805	181	9	amape	amape	NOUN
iajs-3805	181	10	for	for	ADP
iajs-3805	181	11	the	the	DET
iajs-3805	181	12	parametric	parametric	ADJ
iajs-3805	181	13	methods	method	NOUN
iajs-3805	181	14	at	at	ADP
iajs-3805	181	15	the	the	DET
iajs-3805	181	16	function	function	NOUN
iajs-3805	181	17	g	g	NOUN
iajs-3805	181	18	for	for	ADP
iajs-3805	181	19	the	the	DET
iajs-3805	181	20	first	first	ADJ
iajs-3805	181	21	model	model	NOUN
iajs-3805	181	22	figure	figure	NOUN
iajs-3805	181	23	2	2	NUM
iajs-3805	181	24	.	.	NOUN
iajs-3805	181	25	amape	amape	NOUN
iajs-3805	181	26	for	for	ADP
iajs-3805	181	27	the	the	DET
iajs-3805	181	28	parametric	parametric	ADJ
iajs-3805	181	29	methods	method	NOUN
iajs-3805	181	30	at	at	ADP
iajs-3805	181	31	the	the	DET
iajs-3805	181	32	function	function	NOUN
iajs-3805	181	33	e	e	NOUN
iajs-3805	181	34	for	for	ADP
iajs-3805	181	35	the	the	DET
iajs-3805	181	36	first	first	ADJ
iajs-3805	181	37	model	model	NOUN
iajs-3805	181	38	ihjpas	ihjpas	PROPN
iajs-3805	181	39	.	.	PUNCT
iajs-3805	182	1	2024	2024	NUM
iajs-3805	182	2	,	,	PUNCT
iajs-3805	182	3	37(4	37(4	NOUN
iajs-3805	182	4	)	)	PUNCT
iajs-3805	182	5	416	416	NUM
iajs-3805	182	6	figure	figure	NOUN
iajs-3805	182	7	3	3	NUM
iajs-3805	182	8	.	.	NOUN
iajs-3805	182	9	amape	amape	NOUN
iajs-3805	182	10	for	for	ADP
iajs-3805	182	11	the	the	DET
iajs-3805	182	12	parametric	parametric	ADJ
iajs-3805	182	13	methods	method	NOUN
iajs-3805	182	14	at	at	ADP
iajs-3805	182	15	the	the	DET
iajs-3805	182	16	function	function	NOUN
iajs-3805	182	17	u	u	NOUN
iajs-3805	182	18	for	for	ADP
iajs-3805	182	19	the	the	DET
iajs-3805	182	20	first	first	ADJ
iajs-3805	182	21	model	model	NOUN
iajs-3805	182	22	figure	figure	NOUN
iajs-3805	182	23	4	4	NUM
iajs-3805	182	24	.	.	NOUN
iajs-3805	182	25	amape	amape	NOUN
iajs-3805	182	26	for	for	ADP
iajs-3805	182	27	the	the	DET
iajs-3805	182	28	parametric	parametric	ADJ
iajs-3805	182	29	methods	method	NOUN
iajs-3805	182	30	at	at	ADP
iajs-3805	182	31	the	the	DET
iajs-3805	182	32	function	function	NOUN
iajs-3805	182	33	t	t	NOUN
iajs-3805	182	34	for	for	ADP
iajs-3805	182	35	the	the	DET
iajs-3805	182	36	first	first	ADJ
iajs-3805	182	37	model	model	NOUN
iajs-3805	182	38	figure	figure	NOUN
iajs-3805	182	39	5	5	NUM
iajs-3805	182	40	.	.	NOUN
iajs-3805	182	41	amape	amape	NOUN
iajs-3805	182	42	for	for	ADP
iajs-3805	182	43	the	the	DET
iajs-3805	182	44	parametric	parametric	ADJ
iajs-3805	182	45	methods	method	NOUN
iajs-3805	182	46	at	at	ADP
iajs-3805	182	47	the	the	DET
iajs-3805	182	48	function	function	NOUN
iajs-3805	182	49	q	q	NOUN
iajs-3805	182	50	for	for	ADP
iajs-3805	182	51	the	the	DET
iajs-3805	182	52	first	first	ADJ
iajs-3805	182	53	model	model	NOUN
iajs-3805	182	54	table	table	NOUN
iajs-3805	182	55	2	2	NUM
iajs-3805	182	56	.	.	X
iajs-3805	182	57	mape	mape	NOUN
iajs-3805	182	58	for	for	ADP
iajs-3805	182	59	nonparametric	nonparametric	NOUN
iajs-3805	182	60	estimators	estimator	NOUN
iajs-3805	182	61	’	'	PUNCT
iajs-3805	182	62	size	size	NOUN
iajs-3805	182	63	(	(	PUNCT
iajs-3805	182	64	n=10,30,50,70,100	n=10,30,50,70,100	NOUN
iajs-3805	182	65	)	)	PUNCT
iajs-3805	182	66	for	for	ADP
iajs-3805	182	67	the	the	DET
iajs-3805	182	68	second	second	ADJ
iajs-3805	182	69	model	model	NOUN
iajs-3805	182	70	methods	method	NOUN
iajs-3805	182	71	kernel	kernel	PROPN
iajs-3805	182	72	function	function	PROPN
iajs-3805	182	73	nw	nw	PROPN
iajs-3805	182	74	lp1	lp1	PROPN
iajs-3805	182	75	lp2	lp2	PROPN
iajs-3805	182	76	lp3	lp3	PROPN
iajs-3805	182	77	best	good	ADJ
iajs-3805	182	78	g	g	PROPN
iajs-3805	182	79	10	10	NUM
iajs-3805	182	80	0.624293	0.624293	NUM
iajs-3805	182	81	0.995722	0.995722	NUM
iajs-3805	182	82	0.564791	0.564791	NUM
iajs-3805	182	83	0.667828	0.667828	NUM
iajs-3805	182	84	lp2(g	lp2(g	PROPN
iajs-3805	182	85	)	)	PUNCT
iajs-3805	182	86	e	e	NOUN
iajs-3805	182	87	0.6297	0.6297	NUM
iajs-3805	182	88	0.555418	0.555418	NUM
iajs-3805	182	89	0.569683	0.569683	NUM
iajs-3805	182	90	0.674076	0.674076	NUM
iajs-3805	182	91	lp1(e	lp1(e	NOUN
iajs-3805	182	92	)	)	PUNCT
iajs-3805	182	93	u	u	NOUN
iajs-3805	182	94	0.616122	0.616122	NUM
iajs-3805	182	95	0.445208	0.445208	NUM
iajs-3805	182	96	0.557399	0.557399	NUM
iajs-3805	182	97	0.662098	0.662098	NUM
iajs-3805	182	98	lp1(u	lp1(u	PROPN
iajs-3805	182	99	)	)	PUNCT
iajs-3805	182	100	t	t	NOUN
iajs-3805	182	101	0.624639	0.624639	NUM
iajs-3805	182	102	0.341685	0.341685	NUM
iajs-3805	182	103	0.565105	0.565105	NUM
iajs-3805	182	104	0.664842	0.664842	NUM
iajs-3805	182	105	lp1(t	lp1(t	NOUN
iajs-3805	182	106	)	)	PUNCT
iajs-3805	182	107	q	q	PROPN
iajs-3805	183	1	0.613763	0.613763	NUM
iajs-3805	184	1	0.324112	0.324112	NUM
iajs-3805	184	2	0.555265	0.555265	NUM
iajs-3805	184	3	0.656937	0.656937	NUM
iajs-3805	184	4	lp1(q	lp1(q	NOUN
iajs-3805	184	5	)	)	PUNCT
iajs-3805	184	6	best	good	ADJ
iajs-3805	184	7	nw(q	nw(q	NUM
iajs-3805	184	8	)	)	PUNCT
iajs-3805	184	9	lp1(q	lp1(q	PROPN
iajs-3805	184	10	)	)	PUNCT
iajs-3805	184	11	lp2(q	lp2(q	PROPN
iajs-3805	184	12	)	)	PUNCT
iajs-3805	184	13	lp3(q	lp3(q	PROPN
iajs-3805	184	14	)	)	PUNCT
iajs-3805	184	15	lp1(q	lp1(q	NOUN
iajs-3805	184	16	)	)	PUNCT
iajs-3805	184	17	g	g	ADP
iajs-3805	184	18	30	30	NUM
iajs-3805	184	19	0.55542	0.55542	NUM
iajs-3805	184	20	0.93609	0.93609	NUM
iajs-3805	184	21	0.528321	0.528321	NUM
iajs-3805	184	22	0.816388	0.816388	NUM
iajs-3805	184	23	lp2(g	lp2(g	PROPN
iajs-3805	184	24	)	)	PUNCT
iajs-3805	184	25	e	e	NOUN
iajs-3805	184	26	0.553955	0.553955	NUM
iajs-3805	184	27	0.55382	0.55382	NUM
iajs-3805	184	28	0.526928	0.526928	NUM
iajs-3805	184	29	0.823293	0.823293	NUM
iajs-3805	184	30	lp2(e	lp2(e	NOUN
iajs-3805	184	31	)	)	PUNCT
iajs-3805	184	32	u	u	NOUN
iajs-3805	184	33	0.552651	0.552651	NUM
iajs-3805	184	34	0.442828	0.442828	NUM
iajs-3805	184	35	0.525687	0.525687	NUM
iajs-3805	184	36	0.818546	0.818546	NUM
iajs-3805	184	37	lp1(u	lp1(u	PROPN
iajs-3805	184	38	)	)	PUNCT
iajs-3805	184	39	t	t	NOUN
iajs-3805	184	40	0.552655	0.552655	NUM
iajs-3805	184	41	0.350887	0.350887	NUM
iajs-3805	184	42	0.52569	0.52569	NUM
iajs-3805	184	43	0.817904	0.817904	NUM
iajs-3805	184	44	lp1(t	lp1(t	PROPN
iajs-3805	184	45	)	)	PUNCT
iajs-3805	184	46	q	q	NOUN
iajs-3805	184	47	0.554171	0.554171	NUM
iajs-3805	184	48	0.323977	0.323977	NUM
iajs-3805	184	49	0.527132	0.527132	NUM
iajs-3805	184	50	0.817301	0.817301	NUM
iajs-3805	184	51	lp1(q	lp1(q	NOUN
iajs-3805	184	52	)	)	PUNCT
iajs-3805	184	53	best	good	ADJ
iajs-3805	184	54	nw(u	nw(u	NOUN
iajs-3805	184	55	)	)	PUNCT
iajs-3805	184	56	lp1(q	lp1(q	PROPN
iajs-3805	184	57	)	)	PUNCT
iajs-3805	184	58	lp2(u	lp2(u	PROPN
iajs-3805	184	59	)	)	PUNCT
iajs-3805	184	60	lp3(g	lp3(g	PROPN
iajs-3805	184	61	)	)	PUNCT
iajs-3805	184	62	lp1(q	lp1(q	NOUN
iajs-3805	184	63	)	)	PUNCT
iajs-3805	184	64	g	g	ADP
iajs-3805	184	65	50	50	NUM
iajs-3805	184	66	0.532262	0.532262	NUM
iajs-3805	184	67	0.921187	0.921187	NUM
iajs-3805	184	68	0.514809	0.514809	NUM
iajs-3805	184	69	0.873312	0.873312	NUM
iajs-3805	184	70	lp2(g	lp2(g	PROPN
iajs-3805	184	71	)	)	PUNCT
iajs-3805	184	72	ihjpas	ihjpa	NOUN
iajs-3805	184	73	.	.	PUNCT
iajs-3805	185	1	2024	2024	NUM
iajs-3805	185	2	,	,	PUNCT
iajs-3805	185	3	37(4	37(4	PROPN
iajs-3805	185	4	)	)	PUNCT
iajs-3805	185	5	417	417	NUM
iajs-3805	185	6	the	the	DET
iajs-3805	185	7	results	result	NOUN
iajs-3805	185	8	of	of	ADP
iajs-3805	185	9	the	the	DET
iajs-3805	185	10	second	second	ADJ
iajs-3805	185	11	model	model	NOUN
iajs-3805	185	12	showed	show	VERB
iajs-3805	185	13	that	that	SCONJ
iajs-3805	185	14	in	in	ADP
iajs-3805	185	15	the	the	DET
iajs-3805	185	16	table	table	NOUN
iajs-3805	185	17	(	(	PUNCT
iajs-3805	185	18	2	2	X
iajs-3805	185	19	)	)	PUNCT
iajs-3805	185	20	we	we	PRON
iajs-3805	185	21	note	note	VERB
iajs-3805	185	22	:	:	PUNCT
iajs-3805	186	1	1	1	X
iajs-3805	186	2	.	.	X
iajs-3805	186	3	each	each	DET
iajs-3805	186	4	function	function	NOUN
iajs-3805	186	5	will	will	AUX
iajs-3805	186	6	be	be	AUX
iajs-3805	186	7	compared	compare	VERB
iajs-3805	186	8	with	with	ADP
iajs-3805	186	9	the	the	DET
iajs-3805	186	10	methods	method	NOUN
iajs-3805	186	11	:	:	PUNCT
iajs-3805	186	12	at	at	ADP
iajs-3805	186	13	size	size	NOUN
iajs-3805	186	14	10	10	NUM
iajs-3805	186	15	for	for	ADP
iajs-3805	186	16	function	function	NOUN
iajs-3805	186	17	g	g	PROPN
iajs-3805	186	18	the	the	DET
iajs-3805	186	19	lp2	lp2	PROPN
iajs-3805	186	20	method	method	NOUN
iajs-3805	186	21	is	be	AUX
iajs-3805	186	22	better	well	ADJ
iajs-3805	186	23	.	.	PUNCT
iajs-3805	187	1	for	for	ADP
iajs-3805	187	2	function	function	NOUN
iajs-3805	187	3	(	(	PUNCT
iajs-3805	187	4	e	e	NOUN
iajs-3805	187	5	,	,	PUNCT
iajs-3805	187	6	u	u	NOUN
iajs-3805	187	7	,	,	PUNCT
iajs-3805	187	8	t	t	PROPN
iajs-3805	187	9	,	,	PUNCT
iajs-3805	187	10	q	q	PROPN
iajs-3805	187	11	)	)	PUNCT
iajs-3805	187	12	the	the	DET
iajs-3805	187	13	lp1	lp1	PROPN
iajs-3805	187	14	method	method	NOUN
iajs-3805	187	15	is	be	AUX
iajs-3805	187	16	better	well	ADJ
iajs-3805	187	17	.	.	PUNCT
iajs-3805	188	1	at	at	ADP
iajs-3805	188	2	size	size	NOUN
iajs-3805	188	3	30,50,70,100	30,50,70,100	NUM
iajs-3805	188	4	for	for	ADP
iajs-3805	188	5	function	function	NOUN
iajs-3805	188	6	(	(	PUNCT
iajs-3805	188	7	g	g	NOUN
iajs-3805	188	8	,	,	PUNCT
iajs-3805	188	9	e	e	NOUN
iajs-3805	188	10	)	)	PUNCT
iajs-3805	188	11	the	the	DET
iajs-3805	188	12	lp2	lp2	PROPN
iajs-3805	188	13	method	method	NOUN
iajs-3805	188	14	is	be	AUX
iajs-3805	188	15	better	well	ADJ
iajs-3805	188	16	.	.	PUNCT
iajs-3805	189	1	for	for	ADP
iajs-3805	189	2	functions	function	NOUN
iajs-3805	189	3	(	(	PUNCT
iajs-3805	189	4	u	u	NOUN
iajs-3805	189	5	,	,	PUNCT
iajs-3805	189	6	t	t	PROPN
iajs-3805	189	7	,	,	PUNCT
iajs-3805	189	8	q	q	PROPN
iajs-3805	189	9	)	)	PUNCT
iajs-3805	189	10	the	the	DET
iajs-3805	189	11	lp1	lp1	PROPN
iajs-3805	189	12	method	method	NOUN
iajs-3805	189	13	is	be	AUX
iajs-3805	189	14	better	well	ADJ
iajs-3805	189	15	2	2	NUM
iajs-3805	189	16	.	.	PUNCT
iajs-3805	189	17	decrease	decrease	NOUN
iajs-3805	189	18	in	in	ADP
iajs-3805	189	19	mape	mape	NOUN
iajs-3805	189	20	values	value	NOUN
iajs-3805	189	21	when	when	SCONJ
iajs-3805	189	22	increasing	increase	VERB
iajs-3805	189	23	sample	sample	NOUN
iajs-3805	189	24	size	size	NOUN
iajs-3805	189	25	for	for	ADP
iajs-3805	189	26	most	most	ADJ
iajs-3805	189	27	estimators	estimator	NOUN
iajs-3805	189	28	3	3	X
iajs-3805	189	29	.	.	PUNCT
iajs-3805	189	30	to	to	PART
iajs-3805	189	31	compare	compare	VERB
iajs-3805	189	32	the	the	DET
iajs-3805	189	33	best	good	ADJ
iajs-3805	189	34	functions	function	NOUN
iajs-3805	189	35	for	for	ADP
iajs-3805	189	36	each	each	DET
iajs-3805	189	37	estimator	estimator	NOUN
iajs-3805	189	38	,	,	PUNCT
iajs-3805	189	39	for	for	ADP
iajs-3805	189	40	the	the	DET
iajs-3805	189	41	estimator	estimator	PROPN
iajs-3805	189	42	nadaraya	nadaraya	PROPN
iajs-3805	189	43	watson	watson	PROPN
iajs-3805	189	44	,	,	PUNCT
iajs-3805	189	45	the	the	DET
iajs-3805	189	46	lowest	low	ADJ
iajs-3805	189	47	value	value	NOUN
iajs-3805	189	48	of	of	ADP
iajs-3805	189	49	mape	mape	NOUN
iajs-3805	189	50	was	be	AUX
iajs-3805	189	51	when	when	SCONJ
iajs-3805	189	52	n=100	n=100	NUM
iajs-3805	189	53	at	at	ADP
iajs-3805	189	54	the	the	DET
iajs-3805	189	55	function	function	NOUN
iajs-3805	189	56	the	the	DET
iajs-3805	189	57	triangular	triangular	NOUN
iajs-3805	189	58	(	(	PUNCT
iajs-3805	189	59	t	t	NOUN
iajs-3805	189	60	)	)	PUNCT
iajs-3805	189	61	4	4	NUM
iajs-3805	189	62	.	.	X
iajs-3805	190	1	for	for	ADP
iajs-3805	190	2	the	the	DET
iajs-3805	190	3	local	local	ADJ
iajs-3805	190	4	linear	linear	PROPN
iajs-3805	190	5	lp1	lp1	PROPN
iajs-3805	190	6	estimator	estimator	NOUN
iajs-3805	190	7	,	,	PUNCT
iajs-3805	190	8	the	the	DET
iajs-3805	190	9	lowest	low	ADJ
iajs-3805	190	10	value	value	NOUN
iajs-3805	190	11	of	of	ADP
iajs-3805	190	12	mape	mape	NOUN
iajs-3805	190	13	for	for	ADP
iajs-3805	190	14	all	all	DET
iajs-3805	190	15	sizes	size	NOUN
iajs-3805	190	16	was	be	AUX
iajs-3805	190	17	the	the	DET
iajs-3805	190	18	quartic	quartic	ADJ
iajs-3805	190	19	(	(	PUNCT
iajs-3805	190	20	q	q	NOUN
iajs-3805	190	21	)	)	PUNCT
iajs-3805	190	22	5	5	NUM
iajs-3805	190	23	.	.	X
iajs-3805	191	1	for	for	ADP
iajs-3805	191	2	the	the	DET
iajs-3805	191	3	local	local	ADJ
iajs-3805	191	4	quadratic	quadratic	ADJ
iajs-3805	191	5	lp2	lp2	PROPN
iajs-3805	191	6	estimator	estimator	NOUN
iajs-3805	191	7	,	,	PUNCT
iajs-3805	191	8	the	the	DET
iajs-3805	191	9	lowest	low	ADJ
iajs-3805	191	10	value	value	NOUN
iajs-3805	191	11	of	of	ADP
iajs-3805	191	12	mape	mape	NOUN
iajs-3805	191	13	when	when	SCONJ
iajs-3805	191	14	n=100	n=100	X
iajs-3805	191	15	is	be	AUX
iajs-3805	191	16	the	the	DET
iajs-3805	191	17	triangular	triangular	NOUN
iajs-3805	191	18	(	(	PUNCT
iajs-3805	191	19	t	t	NOUN
iajs-3805	191	20	)	)	PUNCT
iajs-3805	191	21	6	6	NUM
iajs-3805	191	22	.	.	PUNCT
iajs-3805	192	1	for	for	ADP
iajs-3805	192	2	the	the	DET
iajs-3805	192	3	lp3	lp3	PROPN
iajs-3805	192	4	estimator	estimator	NOUN
iajs-3805	192	5	,	,	PUNCT
iajs-3805	192	6	the	the	DET
iajs-3805	192	7	lowest	low	ADJ
iajs-3805	192	8	value	value	NOUN
iajs-3805	192	9	of	of	ADP
iajs-3805	192	10	mape	mape	NOUN
iajs-3805	192	11	was	be	AUX
iajs-3805	192	12	when	when	SCONJ
iajs-3805	192	13	n	n	X
iajs-3805	192	14	=	=	SYM
iajs-3805	192	15	10	10	NUM
iajs-3805	192	16	,	,	PUNCT
iajs-3805	192	17	which	which	PRON
iajs-3805	192	18	is	be	AUX
iajs-3805	192	19	the	the	DET
iajs-3805	192	20	quartic	quartic	ADJ
iajs-3805	192	21	(	(	PUNCT
iajs-3805	192	22	q	q	NOUN
iajs-3805	192	23	)	)	PUNCT
iajs-3805	192	24	7	7	NUM
iajs-3805	192	25	.	.	PUNCT
iajs-3805	193	1	the	the	DET
iajs-3805	193	2	worst	bad	ADJ
iajs-3805	193	3	estimators	estimator	NOUN
iajs-3805	193	4	were	be	AUX
iajs-3805	193	5	lp3	lp3	NOUN
iajs-3805	193	6	for	for	ADP
iajs-3805	193	7	all	all	DET
iajs-3805	193	8	functions	function	NOUN
iajs-3805	193	9	and	and	CCONJ
iajs-3805	193	10	all	all	DET
iajs-3805	193	11	size	size	NOUN
iajs-3805	193	12	figures	figure	VERB
iajs-3805	193	13	6	6	NUM
iajs-3805	193	14	-	-	SYM
iajs-3805	193	15	10	10	NUM
iajs-3805	193	16	illustrate	illustrate	VERB
iajs-3805	193	17	what	what	PRON
iajs-3805	193	18	was	be	AUX
iajs-3805	193	19	mentioned	mention	VERB
iajs-3805	193	20	above	above	ADP
iajs-3805	193	21	e	e	NOUN
iajs-3805	193	22	0.539639	0.539639	NUM
iajs-3805	193	23	0.552673	0.552673	PROPN
iajs-3805	193	24	0.521944	0.521944	NUM
iajs-3805	193	25	0.874695	0.874695	NUM
iajs-3805	193	26	lp2(e	lp2(e	NOUN
iajs-3805	193	27	)	)	PUNCT
iajs-3805	193	28	u	u	NOUN
iajs-3805	193	29	0.536898	0.536898	NUM
iajs-3805	193	30	0.442926	0.442926	NUM
iajs-3805	193	31	0.519294	0.519294	NUM
iajs-3805	193	32	0.873117	0.873117	NUM
iajs-3805	193	33	lp1(u	lp1(u	PROPN
iajs-3805	193	34	)	)	PUNCT
iajs-3805	193	35	t	t	NOUN
iajs-3805	193	36	0.539634	0.539634	NUM
iajs-3805	193	37	0.350005	0.350005	NUM
iajs-3805	193	38	0.521939	0.521939	NUM
iajs-3805	193	39	0.872166	0.872166	NUM
iajs-3805	193	40	lp1(t	lp1(t	NOUN
iajs-3805	193	41	)	)	PUNCT
iajs-3805	193	42	q	q	NOUN
iajs-3805	194	1	0.531799	0.531799	NUM
iajs-3805	194	2	0.32971	0.32971	NUM
iajs-3805	194	3	0.514362	0.514362	NUM
iajs-3805	194	4	0.872262	0.872262	NUM
iajs-3805	194	5	lp1(q	lp1(q	NOUN
iajs-3805	194	6	)	)	PUNCT
iajs-3805	194	7	best	good	ADJ
iajs-3805	194	8	nw(q	nw(q	NUM
iajs-3805	194	9	)	)	PUNCT
iajs-3805	194	10	lp1(q	lp1(q	PROPN
iajs-3805	194	11	)	)	PUNCT
iajs-3805	194	12	lp2(q	lp2(q	PROPN
iajs-3805	194	13	)	)	PUNCT
iajs-3805	194	14	lp3(t	lp3(t	PROPN
iajs-3805	194	15	)	)	PUNCT
iajs-3805	194	16	lp1(q	lp1(q	NOUN
iajs-3805	194	17	)	)	PUNCT
iajs-3805	194	18	g	g	ADP
iajs-3805	194	19	70	70	NUM
iajs-3805	194	20	0.527445	0.527445	NUM
iajs-3805	195	1	0.912154	0.912154	NUM
iajs-3805	195	2	0.514421	0.514421	NUM
iajs-3805	195	3	0.906164	0.906164	NUM
iajs-3805	195	4	lp2(g	lp2(g	PROPN
iajs-3805	195	5	)	)	PUNCT
iajs-3805	195	6	e	e	NOUN
iajs-3805	195	7	0.526648	0.526648	NUM
iajs-3805	195	8	0.555864	0.555864	NUM
iajs-3805	195	9	0.513643	0.513643	NUM
iajs-3805	195	10	0.900793	0.900793	NUM
iajs-3805	195	11	lp2(e	lp2(e	NOUN
iajs-3805	195	12	)	)	PUNCT
iajs-3805	195	13	u	u	NOUN
iajs-3805	195	14	0.528657	0.528657	NUM
iajs-3805	195	15	0.4429	0.4429	NUM
iajs-3805	195	16	0.515603	0.515603	NUM
iajs-3805	195	17	0.903672	0.903672	NUM
iajs-3805	195	18	lp1(u	lp1(u	PROPN
iajs-3805	195	19	)	)	PUNCT
iajs-3805	195	20	t	t	PROPN
iajs-3805	195	21	0.525111	0.525111	NUM
iajs-3805	195	22	0.353748	0.353748	NUM
iajs-3805	195	23	0.512144	0.512144	NUM
iajs-3805	195	24	0.906952	0.906952	NUM
iajs-3805	195	25	lp1(t	lp1(t	NOUN
iajs-3805	195	26	)	)	PUNCT
iajs-3805	195	27	q	q	PART
iajs-3805	196	1	0.527096	0.527096	NUM
iajs-3805	196	2	0.327854	0.327854	NUM
iajs-3805	196	3	0.51408	0.51408	NUM
iajs-3805	196	4	0.904502	0.904502	NUM
iajs-3805	196	5	lp1(q	lp1(q	SYM
iajs-3805	196	6	)	)	PUNCT
iajs-3805	196	7	best	good	ADJ
iajs-3805	196	8	nw(t	nw(t	NUM
iajs-3805	196	9	)	)	PUNCT
iajs-3805	196	10	lp1(q	lp1(q	ADV
iajs-3805	196	11	)	)	PUNCT
iajs-3805	196	12	lp2(t	lp2(t	PROPN
iajs-3805	196	13	)	)	PUNCT
iajs-3805	196	14	lp3(e	lp3(e	NOUN
iajs-3805	196	15	)	)	PUNCT
iajs-3805	196	16	lp1(q	lp1(q	NOUN
iajs-3805	196	17	)	)	PUNCT
iajs-3805	196	18	g	g	ADP
iajs-3805	196	19	100	100	NUM
iajs-3805	196	20	0.520777	0.520777	NUM
iajs-3805	196	21	0.909646	0.909646	NUM
iajs-3805	196	22	0.510464	0.510464	NUM
iajs-3805	196	23	0.922083	0.922083	NUM
iajs-3805	196	24	lp2(g	lp2(g	PROPN
iajs-3805	196	25	)	)	PUNCT
iajs-3805	196	26	e	e	NOUN
iajs-3805	196	27	0.524435	0.524435	NUM
iajs-3805	196	28	0.55284	0.55284	NUM
iajs-3805	196	29	0.514049	0.514049	NUM
iajs-3805	196	30	0.922157	0.922157	NUM
iajs-3805	196	31	lp2(e	lp2(e	NOUN
iajs-3805	196	32	)	)	PUNCT
iajs-3805	196	33	u	u	NOUN
iajs-3805	196	34	0.526603	0.526603	NUM
iajs-3805	196	35	0.441297	0.441297	NUM
iajs-3805	196	36	0.516174	0.516174	NUM
iajs-3805	196	37	0.921811	0.921811	NUM
iajs-3805	196	38	lp1(u	lp1(u	PROPN
iajs-3805	196	39	)	)	PUNCT
iajs-3805	196	40	t	t	PROPN
iajs-3805	196	41	0.519077	0.519077	NUM
iajs-3805	196	42	0.355318	0.355318	NUM
iajs-3805	196	43	0.508798	0.508798	NUM
iajs-3805	196	44	0.924151	0.924151	NUM
iajs-3805	196	45	lp1(t	lp1(t	PRON
iajs-3805	196	46	)	)	PUNCT
iajs-3805	196	47	q	q	PROPN
iajs-3805	197	1	0.521945	0.521945	NUM
iajs-3805	197	2	0.328704	0.328704	NUM
iajs-3805	197	3	0.511609	0.511609	NUM
iajs-3805	197	4	0.921277	0.921277	NUM
iajs-3805	197	5	lp1(q	lp1(q	NOUN
iajs-3805	197	6	)	)	PUNCT
iajs-3805	197	7	best	good	ADJ
iajs-3805	197	8	nw(t	nw(t	NUM
iajs-3805	197	9	)	)	PUNCT
iajs-3805	197	10	lp1(q	lp1(q	ADV
iajs-3805	197	11	)	)	PUNCT
iajs-3805	197	12	lp2(t	lp2(t	PROPN
iajs-3805	197	13	)	)	PUNCT
iajs-3805	197	14	lp3(q	lp3(q	PROPN
iajs-3805	197	15	)	)	PUNCT
iajs-3805	197	16	lp1(q	lp1(q	NOUN
iajs-3805	197	17	)	)	PUNCT
iajs-3805	197	18	ihjpas	ihjpas	PROPN
iajs-3805	197	19	.	.	PUNCT
iajs-3805	198	1	2024	2024	NUM
iajs-3805	198	2	,	,	PUNCT
iajs-3805	198	3	37(4	37(4	X
iajs-3805	198	4	)	)	PUNCT
iajs-3805	198	5	418	418	NUM
iajs-3805	198	6	figure	figure	NOUN
iajs-3805	198	7	6	6	NUM
iajs-3805	198	8	.	.	NOUN
iajs-3805	198	9	amape	amape	NOUN
iajs-3805	198	10	for	for	ADP
iajs-3805	198	11	the	the	DET
iajs-3805	198	12	parametric	parametric	ADJ
iajs-3805	198	13	methods	method	NOUN
iajs-3805	198	14	at	at	ADP
iajs-3805	198	15	the	the	DET
iajs-3805	198	16	function	function	NOUN
iajs-3805	198	17	g	g	NOUN
iajs-3805	198	18	for	for	ADP
iajs-3805	198	19	the	the	DET
iajs-3805	198	20	second	second	ADJ
iajs-3805	198	21	model	model	NOUN
iajs-3805	198	22	figure	figure	NOUN
iajs-3805	198	23	7	7	NUM
iajs-3805	198	24	.	.	NOUN
iajs-3805	198	25	amape	amape	NOUN
iajs-3805	198	26	for	for	ADP
iajs-3805	198	27	the	the	DET
iajs-3805	198	28	parametric	parametric	ADJ
iajs-3805	198	29	methods	method	NOUN
iajs-3805	198	30	at	at	ADP
iajs-3805	198	31	the	the	DET
iajs-3805	198	32	function	function	NOUN
iajs-3805	198	33	e	e	NOUN
iajs-3805	198	34	for	for	ADP
iajs-3805	198	35	the	the	DET
iajs-3805	198	36	second	second	ADJ
iajs-3805	198	37	model	model	NOUN
iajs-3805	198	38	ihjpas	ihjpas	PROPN
iajs-3805	198	39	.	.	PUNCT
iajs-3805	199	1	2024	2024	NUM
iajs-3805	199	2	,	,	PUNCT
iajs-3805	199	3	37(4	37(4	X
iajs-3805	199	4	)	)	PUNCT
iajs-3805	199	5	419	419	NUM
iajs-3805	199	6	figure	figure	NOUN
iajs-3805	199	7	8	8	NUM
iajs-3805	199	8	.	.	PUNCT
iajs-3805	199	9	amape	amape	NOUN
iajs-3805	199	10	for	for	ADP
iajs-3805	199	11	the	the	DET
iajs-3805	199	12	parametric	parametric	ADJ
iajs-3805	199	13	methods	method	NOUN
iajs-3805	199	14	at	at	ADP
iajs-3805	199	15	the	the	DET
iajs-3805	199	16	function	function	NOUN
iajs-3805	199	17	u	u	NOUN
iajs-3805	199	18	for	for	ADP
iajs-3805	199	19	the	the	DET
iajs-3805	199	20	second	second	ADJ
iajs-3805	199	21	model	model	NOUN
iajs-3805	199	22	figure	figure	NOUN
iajs-3805	199	23	9	9	NUM
iajs-3805	199	24	.	.	NOUN
iajs-3805	199	25	amape	amape	NOUN
iajs-3805	199	26	for	for	ADP
iajs-3805	199	27	the	the	DET
iajs-3805	199	28	parametric	parametric	ADJ
iajs-3805	199	29	methods	method	NOUN
iajs-3805	199	30	at	at	ADP
iajs-3805	199	31	the	the	DET
iajs-3805	199	32	function	function	NOUN
iajs-3805	199	33	t	t	NOUN
iajs-3805	199	34	for	for	ADP
iajs-3805	199	35	the	the	DET
iajs-3805	199	36	second	second	ADJ
iajs-3805	199	37	model	model	NOUN
iajs-3805	199	38	figure	figure	NOUN
iajs-3805	199	39	10	10	NUM
iajs-3805	199	40	.	.	PUNCT
iajs-3805	199	41	amape	amape	NOUN
iajs-3805	199	42	for	for	ADP
iajs-3805	199	43	the	the	DET
iajs-3805	199	44	parametric	parametric	ADJ
iajs-3805	199	45	methods	method	NOUN
iajs-3805	199	46	at	at	ADP
iajs-3805	199	47	the	the	DET
iajs-3805	199	48	function	function	NOUN
iajs-3805	199	49	q	q	NOUN
iajs-3805	199	50	for	for	ADP
iajs-3805	199	51	the	the	DET
iajs-3805	199	52	second	second	ADJ
iajs-3805	199	53	model	model	NOUN
iajs-3805	199	54	ihjpas	ihjpas	PROPN
iajs-3805	199	55	.	.	PUNCT
iajs-3805	200	1	2024	2024	NUM
iajs-3805	200	2	,	,	PUNCT
iajs-3805	200	3	37(4	37(4	NOUN
iajs-3805	200	4	)	)	PUNCT
iajs-3805	200	5	420	420	NUM
iajs-3805	200	6	6	6	NUM
iajs-3805	200	7	.	.	PUNCT
iajs-3805	200	8	conclusions	conclusion	NOUN
iajs-3805	200	9	based	base	VERB
iajs-3805	200	10	on	on	ADP
iajs-3805	200	11	the	the	DET
iajs-3805	200	12	results	result	NOUN
iajs-3805	200	13	of	of	ADP
iajs-3805	200	14	the	the	DET
iajs-3805	200	15	simulation	simulation	NOUN
iajs-3805	200	16	experiments	experiment	NOUN
iajs-3805	200	17	,	,	PUNCT
iajs-3805	200	18	the	the	DET
iajs-3805	200	19	following	follow	VERB
iajs-3805	200	20	conclusions	conclusion	NOUN
iajs-3805	200	21	can	can	AUX
iajs-3805	200	22	be	be	AUX
iajs-3805	200	23	drawn	draw	VERB
iajs-3805	200	24	:	:	PUNCT
iajs-3805	201	1	1	1	X
iajs-3805	201	2	.	.	X
iajs-3805	201	3	the	the	DET
iajs-3805	201	4	lp1	lp1	PROPN
iajs-3805	201	5	estimator	estimator	NOUN
iajs-3805	201	6	is	be	AUX
iajs-3805	201	7	preferred	prefer	VERB
iajs-3805	201	8	when	when	SCONJ
iajs-3805	201	9	using	use	VERB
iajs-3805	201	10	the	the	DET
iajs-3805	201	11	quartic	quartic	ADJ
iajs-3805	201	12	function	function	NOUN
iajs-3805	201	13	across	across	ADP
iajs-3805	201	14	all	all	DET
iajs-3805	201	15	sample	sample	NOUN
iajs-3805	201	16	sizes	size	NOUN
iajs-3805	201	17	and	and	CCONJ
iajs-3805	201	18	for	for	ADP
iajs-3805	201	19	two	two	NUM
iajs-3805	201	20	models	model	NOUN
iajs-3805	201	21	.	.	PUNCT
iajs-3805	202	1	this	this	PRON
iajs-3805	202	2	is	be	AUX
iajs-3805	202	3	closely	closely	ADV
iajs-3805	202	4	followed	follow	VERB
iajs-3805	202	5	by	by	ADP
iajs-3805	202	6	the	the	DET
iajs-3805	202	7	lp2	lp2	PROPN
iajs-3805	202	8	estimator	estimator	NOUN
iajs-3805	202	9	,	,	PUNCT
iajs-3805	202	10	which	which	PRON
iajs-3805	202	11	performs	perform	VERB
iajs-3805	202	12	well	well	ADV
iajs-3805	202	13	when	when	SCONJ
iajs-3805	202	14	quartic	quartic	ADJ
iajs-3805	202	15	and	and	CCONJ
iajs-3805	202	16	triangular	triangular	NOUN
iajs-3805	202	17	kernels	kernel	NOUN
iajs-3805	202	18	are	be	AUX
iajs-3805	202	19	used	use	VERB
iajs-3805	202	20	.	.	PUNCT
iajs-3805	203	1	2	2	X
iajs-3805	203	2	.	.	X
iajs-3805	203	3	the	the	DET
iajs-3805	203	4	quartic	quartic	ADJ
iajs-3805	203	5	function	function	NOUN
iajs-3805	203	6	proves	prove	VERB
iajs-3805	203	7	to	to	PART
iajs-3805	203	8	be	be	AUX
iajs-3805	203	9	the	the	DET
iajs-3805	203	10	best	good	ADJ
iajs-3805	203	11	kernel	kernel	NOUN
iajs-3805	203	12	function	function	NOUN
iajs-3805	203	13	among	among	ADP
iajs-3805	203	14	the	the	DET
iajs-3805	203	15	options	option	NOUN
iajs-3805	203	16	considered	consider	VERB
iajs-3805	203	17	.	.	PUNCT
iajs-3805	204	1	3	3	X
iajs-3805	204	2	.	.	X
iajs-3805	204	3	in	in	ADP
iajs-3805	204	4	contrast	contrast	NOUN
iajs-3805	204	5	,	,	PUNCT
iajs-3805	204	6	the	the	DET
iajs-3805	204	7	lp3	lp3	NOUN
iajs-3805	204	8	estimators	estimator	NOUN
iajs-3805	204	9	(	(	PUNCT
iajs-3805	204	10	linear	linear	ADJ
iajs-3805	204	11	cubic	cubic	ADJ
iajs-3805	204	12	regression	regression	NOUN
iajs-3805	204	13	estimators	estimator	NOUN
iajs-3805	204	14	)	)	PUNCT
iajs-3805	204	15	,	,	PUNCT
iajs-3805	204	16	which	which	PRON
iajs-3805	204	17	have	have	VERB
iajs-3805	204	18	relatively	relatively	ADV
iajs-3805	204	19	large	large	ADJ
iajs-3805	204	20	values	value	NOUN
iajs-3805	204	21	compared	compare	VERB
iajs-3805	204	22	to	to	ADP
iajs-3805	204	23	the	the	DET
iajs-3805	204	24	other	other	ADJ
iajs-3805	204	25	estimators	estimator	NOUN
iajs-3805	204	26	,	,	PUNCT
iajs-3805	204	27	are	be	AUX
iajs-3805	204	28	the	the	DET
iajs-3805	204	29	worst	bad	ADJ
iajs-3805	204	30	.	.	PUNCT
iajs-3805	205	1	these	these	DET
iajs-3805	205	2	results	result	NOUN
iajs-3805	205	3	provide	provide	VERB
iajs-3805	205	4	valuable	valuable	ADJ
iajs-3805	205	5	insights	insight	NOUN
iajs-3805	205	6	into	into	ADP
iajs-3805	205	7	the	the	DET
iajs-3805	205	8	performance	performance	NOUN
iajs-3805	205	9	of	of	ADP
iajs-3805	205	10	different	different	ADJ
iajs-3805	205	11	estimators	estimator	NOUN
iajs-3805	205	12	and	and	CCONJ
iajs-3805	205	13	kernel	kernel	NOUN
iajs-3805	205	14	functions	function	NOUN
iajs-3805	205	15	in	in	ADP
iajs-3805	205	16	nonparametric	nonparametric	ADJ
iajs-3805	205	17	regression	regression	NOUN
iajs-3805	205	18	models	model	NOUN
iajs-3805	205	19	and	and	CCONJ
iajs-3805	205	20	will	will	AUX
iajs-3805	205	21	help	help	VERB
iajs-3805	205	22	in	in	ADP
iajs-3805	205	23	future	future	ADJ
iajs-3805	205	24	research	research	NOUN
iajs-3805	205	25	and	and	CCONJ
iajs-3805	205	26	decision	decision	NOUN
iajs-3805	205	27	-	-	PUNCT
iajs-3805	205	28	making	make	VERB
iajs-3805	205	29	processes	process	NOUN
iajs-3805	205	30	.	.	PUNCT
iajs-3805	206	1	7	7	X
iajs-3805	206	2	.	.	X
iajs-3805	206	3	recommendations	recommendation	NOUN
iajs-3805	206	4	1	1	NUM
iajs-3805	206	5	.	.	PUNCT
iajs-3805	207	1	we	we	PRON
iajs-3805	207	2	recommend	recommend	VERB
iajs-3805	207	3	considering	consider	VERB
iajs-3805	207	4	the	the	DET
iajs-3805	207	5	use	use	NOUN
iajs-3805	207	6	of	of	ADP
iajs-3805	207	7	cubic	cubic	ADJ
iajs-3805	207	8	smoothing	smoothing	NOUN
iajs-3805	207	9	estimators	estimator	NOUN
iajs-3805	207	10	,	,	PUNCT
iajs-3805	207	11	in	in	ADP
iajs-3805	207	12	addition	addition	NOUN
iajs-3805	207	13	to	to	ADP
iajs-3805	207	14	kernel	kernel	PROPN
iajs-3805	207	15	and	and	CCONJ
iajs-3805	207	16	local	local	ADJ
iajs-3805	207	17	polynomial	polynomial	ADJ
iajs-3805	207	18	regression	regression	NOUN
iajs-3805	207	19	functions	function	NOUN
iajs-3805	207	20	,	,	PUNCT
iajs-3805	207	21	for	for	ADP
iajs-3805	207	22	future	future	ADJ
iajs-3805	207	23	research	research	NOUN
iajs-3805	207	24	.	.	PUNCT
iajs-3805	208	1	2	2	X
iajs-3805	208	2	.	.	X
iajs-3805	208	3	it	it	PRON
iajs-3805	208	4	is	be	AUX
iajs-3805	208	5	advisable	advisable	ADJ
iajs-3805	208	6	to	to	PART
iajs-3805	208	7	investigate	investigate	VERB
iajs-3805	208	8	methods	method	NOUN
iajs-3805	208	9	for	for	ADP
iajs-3805	208	10	detecting	detect	VERB
iajs-3805	208	11	outliers	outlier	NOUN
iajs-3805	208	12	and	and	CCONJ
iajs-3805	208	13	assessing	assess	VERB
iajs-3805	208	14	linear	linear	ADJ
iajs-3805	208	15	correlations	correlation	NOUN
iajs-3805	208	16	among	among	ADP
iajs-3805	208	17	variables	variable	NOUN
iajs-3805	208	18	when	when	SCONJ
iajs-3805	208	19	conducting	conduct	VERB
iajs-3805	208	20	future	future	ADJ
iajs-3805	208	21	studies	study	NOUN
iajs-3805	208	22	.	.	PUNCT
iajs-3805	209	1	3	3	X
iajs-3805	209	2	.	.	X
iajs-3805	209	3	exploring	explore	VERB
iajs-3805	209	4	alternative	alternative	ADJ
iajs-3805	209	5	functions	function	NOUN
iajs-3805	209	6	beyond	beyond	ADP
iajs-3805	209	7	those	those	PRON
iajs-3805	209	8	employed	employ	VERB
iajs-3805	209	9	in	in	ADP
iajs-3805	209	10	this	this	DET
iajs-3805	209	11	research	research	NOUN
iajs-3805	209	12	is	be	AUX
iajs-3805	209	13	encouraged	encourage	VERB
iajs-3805	209	14	for	for	ADP
iajs-3805	209	15	a	a	DET
iajs-3805	209	16	more	more	ADV
iajs-3805	209	17	comprehensive	comprehensive	ADJ
iajs-3805	209	18	analysis	analysis	NOUN
iajs-3805	209	19	.	.	PUNCT
iajs-3805	210	1	acknowledgment	acknowledgment	NOUN
iajs-3805	210	2	the	the	DET
iajs-3805	210	3	authors	author	NOUN
iajs-3805	210	4	are	be	AUX
iajs-3805	210	5	very	very	ADV
iajs-3805	210	6	grateful	grateful	ADJ
iajs-3805	210	7	to	to	ADP
iajs-3805	210	8	the	the	DET
iajs-3805	210	9	executive	executive	ADJ
iajs-3805	210	10	manager	manager	NOUN
iajs-3805	210	11	and	and	CCONJ
iajs-3805	210	12	editorial	editorial	PROPN
iajs-3805	210	13	board	board	NOUN
iajs-3805	210	14	members	member	NOUN
iajs-3805	210	15	of	of	ADP
iajs-3805	210	16	the	the	DET
iajs-3805	210	17	ibn	ibn	PROPN
iajs-3805	210	18	al	al	PROPN
iajs-3805	210	19	-	-	PUNCT
iajs-3805	210	20	haitham	haitham	PROPN
iajs-3805	210	21	journal	journal	PROPN
iajs-3805	210	22	of	of	ADP
iajs-3805	210	23	pure	pure	ADJ
iajs-3805	210	24	and	and	CCONJ
iajs-3805	210	25	applied	applied	ADJ
iajs-3805	210	26	sciences	science	NOUN
iajs-3805	210	27	.	.	PUNCT
iajs-3805	211	1	conflict	conflict	NOUN
iajs-3805	211	2	of	of	ADP
iajs-3805	211	3	interest	interest	NOUN
iajs-3805	211	4	the	the	DET
iajs-3805	211	5	authors	author	NOUN
iajs-3805	211	6	declare	declare	VERB
iajs-3805	211	7	that	that	SCONJ
iajs-3805	211	8	they	they	PRON
iajs-3805	211	9	have	have	VERB
iajs-3805	211	10	no	no	DET
iajs-3805	211	11	conflicts	conflict	NOUN
iajs-3805	211	12	of	of	ADP
iajs-3805	211	13	interest	interest	NOUN
iajs-3805	211	14	.	.	PUNCT
iajs-3805	212	1	funding	funding	NOUN
iajs-3805	212	2	there	there	PRON
iajs-3805	212	3	is	be	VERB
iajs-3805	212	4	no	no	DET
iajs-3805	212	5	funding	funding	NOUN
iajs-3805	212	6	for	for	ADP
iajs-3805	212	7	the	the	DET
iajs-3805	212	8	article	article	NOUN
iajs-3805	212	9	.	.	PUNCT
iajs-3805	213	1	references	reference	NOUN
iajs-3805	213	2	1	1	NUM
iajs-3805	213	3	.	.	PUNCT
iajs-3805	213	4	speckman	speckman	NOUN
iajs-3805	213	5	,	,	PUNCT
iajs-3805	213	6	p.	p.	NOUN
iajs-3805	213	7	kernel	kernel	PROPN
iajs-3805	213	8	smoothing	smooth	VERB
iajs-3805	213	9	in	in	ADP
iajs-3805	213	10	partial	partial	ADJ
iajs-3805	213	11	linear	linear	NOUN
iajs-3805	213	12	models	model	NOUN
iajs-3805	213	13	.	.	PUNCT
iajs-3805	214	1	journal	journal	NOUN
iajs-3805	214	2	of	of	ADP
iajs-3805	214	3	the	the	DET
iajs-3805	214	4	royal	royal	ADJ
iajs-3805	214	5	statistical	statistical	ADJ
iajs-3805	214	6	society	society	NOUN
iajs-3805	214	7	series	series	PROPN
iajs-3805	214	8	b	b	PROPN
iajs-3805	214	9	:	:	PUNCT
iajs-3805	214	10	statistical	statistical	ADJ
iajs-3805	214	11	methodology	methodology	NOUN
iajs-3805	214	12	1988	1988	NUM
iajs-3805	214	13	,	,	PUNCT
iajs-3805	214	14	50(3	50(3	NUM
iajs-3805	214	15	)	)	PUNCT
iajs-3805	214	16	,	,	PUNCT
iajs-3805	214	17	413	413	NUM
iajs-3805	214	18	-	-	SYM
iajs-3805	214	19	436	436	NUM
iajs-3805	214	20	.	.	NOUN
iajs-3805	215	1	2	2	NUM
iajs-3805	215	2	.	.	X
iajs-3805	215	3	hmood	hmood	PROPN
iajs-3805	215	4	,	,	PUNCT
iajs-3805	215	5	m.	m.	NOUN
iajs-3805	215	6	y.	y.	PROPN
iajs-3805	215	7	;	;	PUNCT
iajs-3805	215	8	muslim	muslim	PROPN
iajs-3805	215	9	,	,	PUNCT
iajs-3805	215	10	a.	a.	NOUN
iajs-3805	215	11	a	a	DET
iajs-3805	215	12	comparison	comparison	NOUN
iajs-3805	215	13	of	of	ADP
iajs-3805	215	14	some	some	DET
iajs-3805	215	15	semiparametric	semiparametric	NOUN
iajs-3805	215	16	estimators	estimator	NOUN
iajs-3805	215	17	for	for	ADP
iajs-3805	215	18	consumption	consumption	NOUN
iajs-3805	215	19	function	function	NOUN
iajs-3805	215	20	regression	regression	NOUN
iajs-3805	215	21	.	.	PUNCT
iajs-3805	216	1	journal	journal	NOUN
iajs-3805	216	2	of	of	ADP
iajs-3805	216	3	economic	economic	ADJ
iajs-3805	216	4	and	and	CCONJ
iajs-3805	216	5	administrative	administrative	ADJ
iajs-3805	216	6	science	science	NOUN
iajs-3805	216	7	2012	2012	NUM
iajs-3805	216	8	,	,	PUNCT
iajs-3805	216	9	12(67	12(67	NUM
iajs-3805	216	10	)	)	PUNCT
iajs-3805	216	11	,	,	PUNCT
iajs-3805	216	12	273	273	NUM
iajs-3805	216	13	-	-	SYM
iajs-3805	216	14	288	288	NUM
iajs-3805	216	15	.	.	PUNCT
iajs-3805	217	1	https://doi.org/10.33095/jeas.v18i67.1049	https://doi.org/10.33095/jeas.v18i67.1049	X
iajs-3805	217	2	.	.	PUNCT
iajs-3805	218	1	3	3	X
iajs-3805	218	2	.	.	X
iajs-3805	218	3	manzoor	manzoor	PROPN
iajs-3805	218	4	,	,	PUNCT
iajs-3805	218	5	m.a	m.a	PROPN
iajs-3805	218	6	.	.	PROPN
iajs-3805	218	7	;	;	PUNCT
iajs-3805	218	8	akbar	akbar	NOUN
iajs-3805	218	9	,	,	PUNCT
iajs-3805	218	10	a.	a.	NOUN
iajs-3805	218	11	;	;	PUNCT
iajs-3805	218	12	ullahy	ullahy	PROPN
iajs-3805	218	13	,	,	PUNCT
iajs-3805	218	14	m.a	m.a	PROPN
iajs-3805	218	15	.	.	PROPN
iajs-3805	218	16	performance	performance	NOUN
iajs-3805	218	17	of	of	ADP
iajs-3805	218	18	nonparametric	nonparametric	ADJ
iajs-3805	218	19	regression	regression	NOUN
iajs-3805	218	20	estimation	estimation	NOUN
iajs-3805	218	21	with	with	ADP
iajs-3805	218	22	diverse	diverse	ADJ
iajs-3805	218	23	covariates	covariate	NOUN
iajs-3805	218	24	.	.	PUNCT
iajs-3805	219	1	pakistan	pakistan	PROPN
iajs-3805	219	2	journal	journal	PROPN
iajs-3805	219	3	of	of	ADP
iajs-3805	219	4	social	social	ADJ
iajs-3805	219	5	sciences	science	NOUN
iajs-3805	219	6	2013	2013	NUM
iajs-3805	219	7	,	,	PUNCT
iajs-3805	219	8	33(1	33(1	NUM
iajs-3805	219	9	)	)	PUNCT
iajs-3805	219	10	,	,	PUNCT
iajs-3805	219	11	77	77	NUM
iajs-3805	219	12	-	-	SYM
iajs-3805	219	13	85	85	NUM
iajs-3805	219	14	.	.	PUNCT
iajs-3805	220	1	4	4	NUM
iajs-3805	220	2	.	.	X
iajs-3805	221	1	hmood	hmood	PROPN
iajs-3805	221	2	,	,	PUNCT
iajs-3805	221	3	m.	m.	NOUN
iajs-3805	221	4	y.	y.	PROPN
iajs-3805	221	5	;	;	PUNCT
iajs-3805	221	6	mohamed	mohamed	PROPN
iajs-3805	221	7	,	,	PUNCT
iajs-3805	221	8	m.k	m.k	PROPN
iajs-3805	221	9	.	.	PUNCT
iajs-3805	222	1	a	a	DET
iajs-3805	222	2	comparison	comparison	NOUN
iajs-3805	222	3	of	of	ADP
iajs-3805	222	4	the	the	DET
iajs-3805	222	5	semiparametric	semiparametric	NOUN
iajs-3805	222	6	estimators	estimator	NOUN
iajs-3805	222	7	model	model	NOUN
iajs-3805	222	8	using	use	VERB
iajs-3805	222	9	different	different	ADJ
iajs-3805	222	10	smoothing	smoothing	NOUN
iajs-3805	222	11	methods	method	NOUN
iajs-3805	222	12	.	.	PUNCT
iajs-3805	223	1	journal	journal	NOUN
iajs-3805	223	2	of	of	ADP
iajs-3805	223	3	economic	economic	ADJ
iajs-3805	223	4	and	and	CCONJ
iajs-3805	223	5	administrative	administrative	ADJ
iajs-3805	223	6	sciences	science	NOUN
iajs-3805	223	7	2014	2014	NUM
iajs-3805	223	8	,	,	PUNCT
iajs-3805	223	9	20(75	20(75	NUM
iajs-3805	223	10	)	)	PUNCT
iajs-3805	223	11	,	,	PUNCT
iajs-3805	223	12	376	376	NUM
iajs-3805	223	13	-	-	SYM
iajs-3805	223	14	394	394	NUM
iajs-3805	223	15	.	.	NOUN
iajs-3805	223	16	5	5	NUM
iajs-3805	223	17	.	.	X
iajs-3805	224	1	alwan	alwan	PROPN
iajs-3805	224	2	,	,	PUNCT
iajs-3805	224	3	i.	i.	NOUN
iajs-3805	224	4	m.	m.	PROPN
iajs-3805	224	5	;	;	PUNCT
iajs-3805	224	6	al	al	PROPN
iajs-3805	224	7	-	-	PUNCT
iajs-3805	224	8	doori	doori	PROPN
iajs-3805	224	9	,	,	PUNCT
iajs-3805	224	10	e.a	e.a	PROPN
iajs-3805	224	11	.	.	PROPN
iajs-3805	224	12	hazard	hazard	NOUN
iajs-3805	224	13	rate	rate	NOUN
iajs-3805	224	14	estimation	estimation	NOUN
iajs-3805	224	15	using	use	VERB
iajs-3805	224	16	varying	vary	VERB
iajs-3805	224	17	kernel	kernel	PROPN
iajs-3805	224	18	function	function	NOUN
iajs-3805	224	19	for	for	ADP
iajs-3805	224	20	censored	censored	ADJ
iajs-3805	224	21	data	datum	NOUN
iajs-3805	224	22	type	type	NOUN
iajs-3805	224	23	i.	i.	PROPN
iajs-3805	224	24	baghdad	baghdad	PROPN
iajs-3805	224	25	science	science	PROPN
iajs-3805	224	26	journal	journal	PROPN
iajs-3805	224	27	2019	2019	NUM
iajs-3805	224	28	,	,	PUNCT
iajs-3805	224	29	16(3	16(3	NUM
iajs-3805	224	30	)	)	PUNCT
iajs-3805	224	31	(	(	PUNCT
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iajs-3805	224	33	.	.	PROPN
iajs-3805	224	34	):	):	PUNCT
iajs-3805	224	35	0793	0793	NUM
iajs-3805	224	36	.	.	PUNCT
iajs-3805	225	1	http://dx.doi.org/10.21123/bsj.2019.16.3(suppl.).0793	http://dx.doi.org/10.21123/bsj.2019.16.3(suppl.).0793	X
iajs-3805	225	2	.	.	NOUN
iajs-3805	225	3	6	6	NUM
iajs-3805	225	4	.	.	X
iajs-3805	226	1	hassan	hassan	PROPN
iajs-3805	226	2	,	,	PUNCT
iajs-3805	226	3	y.a	y.a	PROPN
iajs-3805	226	4	.	.	PROPN
iajs-3805	226	5	;	;	PUNCT
iajs-3805	226	6	hmood	hmood	PROPN
iajs-3805	226	7	,	,	PUNCT
iajs-3805	226	8	m.y	m.y	PROPN
iajs-3805	226	9	.	.	PROPN
iajs-3805	226	10	estimation	estimation	NOUN
iajs-3805	226	11	of	of	ADP
iajs-3805	226	12	return	return	NOUN
iajs-3805	226	13	stock	stock	NOUN
iajs-3805	226	14	rate	rate	NOUN
iajs-3805	226	15	by	by	ADP
iajs-3805	226	16	using	use	VERB
iajs-3805	226	17	wavelet	wavelet	NOUN
iajs-3805	226	18	and	and	CCONJ
iajs-3805	226	19	kernel	kernel	PROPN
iajs-3805	226	20	smoothers	smoother	NOUN
iajs-3805	226	21	.	.	PUNCT
iajs-3805	227	1	periodicals	periodical	NOUN
iajs-3805	227	2	of	of	ADP
iajs-3805	227	3	engineering	engineering	NOUN
iajs-3805	227	4	and	and	CCONJ
iajs-3805	227	5	natural	natural	ADJ
iajs-3805	227	6	sciences	science	NOUN
iajs-3805	227	7	2020	2020	NUM
iajs-3805	227	8	,	,	PUNCT
iajs-3805	227	9	8(2	8(2	NUM
iajs-3805	227	10	)	)	PUNCT
iajs-3805	227	11	,	,	PUNCT
iajs-3805	227	12	602–612	602–612	NUM
iajs-3805	227	13	.	.	PUNCT
iajs-3805	228	1	https://doi.org/10.33095/jeas.v18i67.1049	https://doi.org/10.33095/jeas.v18i67.1049	PROPN
iajs-3805	228	2	http://dx.doi.org/10.21123/bsj.2019.16.3(suppl.).0793	http://dx.doi.org/10.21123/bsj.2019.16.3(suppl.).0793	ADJ
iajs-3805	228	3	ihjpas	ihjpas	PROPN
iajs-3805	228	4	.	.	PUNCT
iajs-3805	229	1	2024	2024	NUM
iajs-3805	229	2	,	,	PUNCT
iajs-3805	229	3	37(4	37(4	NOUN
iajs-3805	229	4	)	)	PUNCT
iajs-3805	229	5	421	421	NUM
iajs-3805	229	6	7	7	NUM
iajs-3805	229	7	.	.	PUNCT
iajs-3805	230	1	ibrahim	ibrahim	PROPN
iajs-3805	230	2	,	,	PUNCT
iajs-3805	230	3	m.k	m.k	PROPN
iajs-3805	230	4	.	.	PUNCT
iajs-3805	230	5	;	;	PUNCT
iajs-3805	230	6	al	al	PROPN
iajs-3805	230	7	-	-	PUNCT
iajs-3805	230	8	qazaz	qazaz	PROPN
iajs-3805	230	9	,	,	PUNCT
iajs-3805	230	10	q.n.n	q.n.n	PROPN
iajs-3805	230	11	.	.	PUNCT
iajs-3805	230	12	comparison	comparison	NOUN
iajs-3805	230	13	between	between	ADP
iajs-3805	230	14	the	the	DET
iajs-3805	230	15	estimated	estimate	VERB
iajs-3805	230	16	of	of	ADP
iajs-3805	230	17	nonparametric	nonparametric	NOUN
iajs-3805	230	18	methods	method	NOUN
iajs-3805	230	19	by	by	ADP
iajs-3805	230	20	using	use	VERB
iajs-3805	230	21	the	the	DET
iajs-3805	230	22	methodology	methodology	NOUN
iajs-3805	230	23	of	of	ADP
iajs-3805	230	24	quantile	quantile	ADJ
iajs-3805	230	25	regression	regression	NOUN
iajs-3805	230	26	models	model	NOUN
iajs-3805	230	27	.	.	PUNCT
iajs-3805	231	1	periodicals	periodical	NOUN
iajs-3805	231	2	of	of	ADP
iajs-3805	231	3	engineering	engineering	NOUN
iajs-3805	231	4	and	and	CCONJ
iajs-3805	231	5	natural	natural	ADJ
iajs-3805	231	6	sciences	science	NOUN
iajs-3805	231	7	2020	2020	NUM
iajs-3805	231	8	,	,	PUNCT
iajs-3805	231	9	8(2	8(2	NUM
iajs-3805	231	10	)	)	PUNCT
iajs-3805	231	11	,	,	PUNCT
iajs-3805	231	12	572–579	572–579	NUM
iajs-3805	231	13	.	.	PUNCT
iajs-3805	232	1	8	8	NUM
iajs-3805	232	2	.	.	PUNCT
iajs-3805	233	1	habeeb	habeeb	PROPN
iajs-3805	233	2	,	,	PUNCT
iajs-3805	233	3	a.s	a.s	PROPN
iajs-3805	233	4	.	.	PROPN
iajs-3805	233	5	;	;	PUNCT
iajs-3805	233	6	hmood	hmood	PROPN
iajs-3805	233	7	,	,	PUNCT
iajs-3805	233	8	m.y	m.y	PROPN
iajs-3805	233	9	.	.	PROPN
iajs-3805	233	10	;	;	PUNCT
iajs-3805	233	11	mohammed	mohammed	PROPN
iajs-3805	233	12	,	,	PUNCT
iajs-3805	233	13	m.j	m.j	PROPN
iajs-3805	233	14	.	.	PROPN
iajs-3805	233	15	estimation	estimation	PROPN
iajs-3805	233	16	nonparametric	nonparametric	NOUN
iajs-3805	233	17	autoregressive	autoregressive	ADJ
iajs-3805	233	18	curve	curve	NOUN
iajs-3805	233	19	by	by	ADP
iajs-3805	233	20	smoothing	smooth	VERB
iajs-3805	233	21	spline	spline	NOUN
iajs-3805	233	22	method	method	NOUN
iajs-3805	233	23	.	.	PUNCT
iajs-3805	234	1	international	international	ADJ
iajs-3805	234	2	journal	journal	NOUN
iajs-3805	234	3	of	of	ADP
iajs-3805	234	4	agricultural	agricultural	ADJ
iajs-3805	234	5	and	and	CCONJ
iajs-3805	234	6	statistical	statistical	ADJ
iajs-3805	234	7	sciences	science	NOUN
iajs-3805	234	8	2021	2021	NUM
iajs-3805	234	9	,	,	PUNCT
iajs-3805	234	10	17(2	17(2	NUM
iajs-3805	234	11	)	)	PUNCT
iajs-3805	234	12	,	,	PUNCT
iajs-3805	234	13	815	815	NUM
iajs-3805	234	14	-	-	SYM
iajs-3805	234	15	825	825	NUM
iajs-3805	234	16	.	.	PUNCT
iajs-3805	235	1	https://connectjournals.com/03899.2021.17.815	https://connectjournals.com/03899.2021.17.815	PROPN
iajs-3805	235	2	.	.	PROPN
iajs-3805	236	1	9	9	NUM
iajs-3805	236	2	.	.	X
iajs-3805	236	3	bhattacharyya	bhattacharyya	PROPN
iajs-3805	236	4	,	,	PUNCT
iajs-3805	236	5	b.	b.	PROPN
iajs-3805	236	6	;	;	PUNCT
iajs-3805	236	7	biswas	biswas	PROPN
iajs-3805	236	8	,	,	PUNCT
iajs-3805	236	9	r.	r.	PROPN
iajs-3805	236	10	;	;	PUNCT
iajs-3805	236	11	sujatha	sujatha	PROPN
iajs-3805	236	12	,	,	PUNCT
iajs-3805	236	13	k.	k.	PROPN
iajs-3805	236	14	;	;	PUNCT
iajs-3805	236	15	chiphang	chiphang	PROPN
iajs-3805	236	16	,	,	PUNCT
iajs-3805	236	17	d.y	d.y	PROPN
iajs-3805	236	18	.	.	PROPN
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iajs-3805	236	21	model	model	NOUN
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iajs-3805	236	25	effects	effect	NOUN
iajs-3805	236	26	of	of	ADP
iajs-3805	236	27	weather	weather	NOUN
iajs-3805	236	28	variables	variable	NOUN
iajs-3805	236	29	on	on	ADP
iajs-3805	236	30	crop	crop	NOUN
iajs-3805	236	31	yield	yield	NOUN
iajs-3805	236	32	in	in	ADP
iajs-3805	236	33	manipur	manipur	PROPN
iajs-3805	236	34	state	state	PROPN
iajs-3805	236	35	.	.	PUNCT
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iajs-3805	237	2	journal	journal	PROPN
iajs-3805	237	3	of	of	ADP
iajs-3805	237	4	agricultural	agricultural	ADJ
iajs-3805	237	5	and	and	CCONJ
iajs-3805	237	6	statistical	statistical	ADJ
iajs-3805	237	7	sciences	science	NOUN
iajs-3805	237	8	2021	2021	NUM
iajs-3805	237	9	,	,	PUNCT
iajs-3805	237	10	17(1	17(1	NUM
iajs-3805	237	11	)	)	PUNCT
iajs-3805	237	12	,	,	PUNCT
iajs-3805	237	13	317	317	NUM
iajs-3805	237	14	-	-	SYM
iajs-3805	237	15	320	320	NUM
iajs-3805	237	16	.	.	PUNCT
iajs-3805	237	17	10	10	NUM
iajs-3805	237	18	.	.	PUNCT
iajs-3805	238	1	hall	hall	PROPN
iajs-3805	238	2	,	,	PUNCT
iajs-3805	238	3	p.	p.	NOUN
iajs-3805	238	4	;	;	PUNCT
iajs-3805	238	5	presnel	presnel	PROPN
iajs-3805	238	6	,	,	PUNCT
iajs-3805	238	7	b.	b.	PROPN
iajs-3805	238	8	intentionally	intentionally	ADV
iajs-3805	238	9	biased	bias	VERB
iajs-3805	238	10	bootstrap	bootstrap	NOUN
iajs-3805	238	11	methods	method	NOUN
iajs-3805	238	12	.	.	PUNCT
iajs-3805	239	1	journal	journal	NOUN
iajs-3805	239	2	of	of	ADP
iajs-3805	239	3	the	the	DET
iajs-3805	239	4	royal	royal	ADJ
iajs-3805	239	5	statistical	statistical	ADJ
iajs-3805	239	6	society	society	NOUN
iajs-3805	239	7	series	series	PROPN
iajs-3805	239	8	b	b	PROPN
iajs-3805	239	9	:	:	PUNCT
iajs-3805	239	10	statistical	statistical	ADJ
iajs-3805	239	11	methodology	methodology	NOUN
iajs-3805	239	12	1999	1999	NUM
iajs-3805	239	13	,	,	PUNCT
iajs-3805	239	14	61(1	61(1	NOUN
iajs-3805	239	15	)	)	PUNCT
iajs-3805	239	16	,	,	PUNCT
iajs-3805	239	17	143	143	NUM
iajs-3805	239	18	-	-	SYM
iajs-3805	239	19	158	158	NUM
iajs-3805	239	20	.	.	PUNCT
iajs-3805	240	1	https://www.jstor.org/stable/2680742	https://www.jstor.org/stable/2680742	ADJ
iajs-3805	240	2	.	.	PUNCT
iajs-3805	241	1	11	11	NUM
iajs-3805	241	2	.	.	X
iajs-3805	241	3	liang	liang	PROPN
iajs-3805	241	4	,	,	PUNCT
iajs-3805	241	5	h.	h.	PROPN
iajs-3805	241	6	estimation	estimation	NOUN
iajs-3805	241	7	in	in	ADP
iajs-3805	241	8	partially	partially	ADV
iajs-3805	241	9	linear	linear	ADJ
iajs-3805	241	10	models	model	NOUN
iajs-3805	241	11	and	and	CCONJ
iajs-3805	241	12	numerical	numerical	ADJ
iajs-3805	241	13	comparisons	comparison	NOUN
iajs-3805	241	14	.	.	PUNCT
iajs-3805	242	1	computational	computational	ADJ
iajs-3805	242	2	statistics	statistic	NOUN
iajs-3805	242	3	&	&	CCONJ
iajs-3805	242	4	data	datum	NOUN
iajs-3805	242	5	analysis	analysis	NOUN
iajs-3805	242	6	2006	2006	NUM
iajs-3805	242	7	,	,	PUNCT
iajs-3805	242	8	50(3	50(3	NUM
iajs-3805	242	9	)	)	PUNCT
iajs-3805	242	10	,	,	PUNCT
iajs-3805	242	11	675	675	NUM
iajs-3805	242	12	-	-	SYM
iajs-3805	242	13	687	687	NUM
iajs-3805	242	14	.	.	PUNCT
iajs-3805	242	15	https://doi.org/10.1016/j.csda.2004.10.007	https://doi.org/10.1016/j.csda.2004.10.007	NOUN
iajs-3805	242	16	.	.	PUNCT
iajs-3805	243	1	12	12	NUM
iajs-3805	243	2	.	.	PUNCT
iajs-3805	244	1	w.	w.	PROPN
iajs-3805	244	2	härdle	härdle	PROPN
iajs-3805	244	3	,	,	PUNCT
iajs-3805	244	4	müller	müller	PROPN
iajs-3805	244	5	,	,	PUNCT
iajs-3805	244	6	m.	m.	NOUN
iajs-3805	244	7	;	;	PUNCT
iajs-3805	244	8	sperlich	sperlich	PROPN
iajs-3805	244	9	,	,	PUNCT
iajs-3805	244	10	s.	s.	PROPN
iajs-3805	244	11	;	;	PUNCT
iajs-3805	244	12	werwatz	werwatz	PROPN
iajs-3805	244	13	,	,	PUNCT
iajs-3805	244	14	a.	a.	NOUN
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iajs-3805	244	16	and	and	CCONJ
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iajs-3805	244	19	—	—	PUNCT
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iajs-3805	244	22	.	.	PUNCT
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iajs-3805	245	2	verlag	verlag	PROPN
iajs-3805	245	3	,	,	PUNCT
iajs-3805	245	4	berlin	berlin	PROPN
iajs-3805	245	5	,	,	PUNCT
iajs-3805	245	6	heidelberg	heidelberg	PROPN
iajs-3805	245	7	,	,	PUNCT
iajs-3805	245	8	germany	germany	PROPN
iajs-3805	245	9	,	,	PUNCT
iajs-3805	245	10	2005	2005	NUM
iajs-3805	245	11	.	.	PUNCT
iajs-3805	246	1	13	13	NUM
iajs-3805	246	2	.	.	X
iajs-3805	246	3	a.b	a.b	PROPN
iajs-3805	246	4	.	.	PROPN
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iajs-3805	246	6	.	.	PUNCT
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iajs-3805	247	3	nonparametric	nonparametric	NOUN
iajs-3805	247	4	estimation	estimation	NOUN
iajs-3805	247	5	.	.	PUNCT
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iajs-3805	248	4	,	,	PUNCT
iajs-3805	248	5	llc	llc	PROPN
iajs-3805	248	6	,	,	PUNCT
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iajs-3805	248	8	york	york	PROPN
iajs-3805	248	9	,	,	PUNCT
iajs-3805	248	10	ny	ny	PROPN
iajs-3805	248	11	,	,	PUNCT
iajs-3805	248	12	usa	usa	PROPN
iajs-3805	248	13	,	,	PUNCT
iajs-3805	248	14	2009	2009	NUM
iajs-3805	248	15	.	.	PUNCT
iajs-3805	249	1	14	14	NUM
iajs-3805	249	2	.	.	PUNCT
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iajs-3805	249	4	,	,	PUNCT
iajs-3805	249	5	j.	j.	PROPN
iajs-3805	249	6	nonparametric	nonparametric	PROPN
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iajs-3805	249	9	regression	regression	NOUN
iajs-3805	249	10	estimation	estimation	NOUN
iajs-3805	249	11	.	.	PUNCT
iajs-3805	250	1	journal	journal	NOUN
iajs-3805	250	2	of	of	ADP
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iajs-3805	250	4	perspectives	perspective	NOUN
iajs-3805	250	5	2001	2001	NUM
iajs-3805	250	6	,	,	PUNCT
iajs-3805	250	7	15(4	15(4	NUM
iajs-3805	250	8	)	)	PUNCT
iajs-3805	250	9	,	,	PUNCT
iajs-3805	250	10	11	11	NUM
iajs-3805	250	11	-	-	SYM
iajs-3805	250	12	28	28	NUM
iajs-3805	250	13	.	.	PUNCT
iajs-3805	251	1	https://www.jstor.org/stable/2696513	https://www.jstor.org/stable/2696513	PROPN
iajs-3805	251	2	.	.	PUNCT
iajs-3805	252	1	15	15	NUM
iajs-3805	252	2	.	.	X
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iajs-3805	252	4	,	,	PUNCT
iajs-3805	252	5	r.p.w	r.p.w	PROPN
iajs-3805	252	6	.	.	PUNCT
iajs-3805	253	1	on	on	ADP
iajs-3805	253	2	the	the	DET
iajs-3805	253	3	choice	choice	NOUN
iajs-3805	253	4	of	of	ADP
iajs-3805	253	5	smoothing	smooth	VERB
iajs-3805	253	6	parameters	parameter	NOUN
iajs-3805	253	7	of	of	ADP
iajs-3805	253	8	parent	parent	NOUN
iajs-3805	253	9	estimators	estimator	NOUN
iajs-3805	253	10	of	of	ADP
iajs-3805	253	11	probability	probability	NOUN
iajs-3805	253	12	density	density	NOUN
iajs-3805	253	13	functions	function	NOUN
iajs-3805	253	14	.	.	PUNCT
iajs-3805	254	1	ieee	ieee	NOUN
iajs-3805	254	2	transactions	transaction	NOUN
iajs-3805	254	3	on	on	ADP
iajs-3805	254	4	computers	computer	NOUN
iajs-3805	254	5	1976	1976	NUM
iajs-3805	254	6	,	,	PUNCT
iajs-3805	254	7	1175	1175	NUM
iajs-3805	254	8	-	-	SYM
iajs-3805	254	9	1179	1179	NUM
iajs-3805	254	10	.	.	PUNCT
iajs-3805	255	1	http://dx.doi.org/10.1109/tc.1976.1674577	http://dx.doi.org/10.1109/tc.1976.1674577	PROPN
iajs-3805	255	2	.	.	PUNCT
iajs-3805	256	1	16	16	NUM
iajs-3805	256	2	.	.	PUNCT
iajs-3805	256	3	mousa	mousa	PROPN
iajs-3805	256	4	,	,	PUNCT
iajs-3805	256	5	m.j	m.j	PROPN
iajs-3805	256	6	.	.	PROPN
iajs-3805	256	7	;	;	PUNCT
iajs-3805	257	1	hmood	hmood	PROPN
iajs-3805	257	2	,	,	PUNCT
iajs-3805	257	3	m.y	m.y	PROPN
iajs-3805	257	4	.	.	PROPN
iajs-3805	257	5	;	;	PUNCT
iajs-3805	257	6	nori	nori	PROPN
iajs-3805	257	7	,	,	PUNCT
iajs-3805	257	8	a.g	a.g	PROPN
iajs-3805	257	9	.	.	PROPN
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iajs-3805	257	13	-	-	PUNCT
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iajs-3805	257	16	kernel	kernel	PROPN
iajs-3805	257	17	function	function	PROPN
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iajs-3805	257	21	.	.	PUNCT
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iajs-3805	258	8	,	,	PUNCT
iajs-3805	258	9	9(3	9(3	NUM
iajs-3805	258	10	)	)	PUNCT
iajs-3805	258	11	,	,	PUNCT
iajs-3805	258	12	106	106	NUM
iajs-3805	258	13	-	-	SYM
iajs-3805	258	14	112	112	NUM
iajs-3805	258	15	.	.	PUNCT
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iajs-3805	259	2	.	.	PUNCT
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iajs-3805	260	2	.	.	PUNCT
iajs-3805	261	1	li	li	PROPN
iajs-3805	261	2	,	,	PUNCT
iajs-3805	261	3	c.	c.	PROPN
iajs-3805	261	4	a	a	DET
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iajs-3805	261	9	its	its	PRON
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iajs-3805	261	11	.	.	PUNCT
iajs-3805	262	1	communications	communication	NOUN
iajs-3805	262	2	in	in	ADP
iajs-3805	262	3	statistics	statistic	NOUN
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iajs-3805	262	9	,	,	PUNCT
iajs-3805	262	10	42(7	42(7	NOUN
iajs-3805	262	11	)	)	PUNCT
iajs-3805	262	12	,	,	PUNCT
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iajs-3805	262	14	-	-	SYM
iajs-3805	262	15	1680	1680	NUM
iajs-3805	262	16	.	.	PUNCT
iajs-3805	263	1	18	18	NUM
iajs-3805	263	2	.	.	X
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iajs-3805	263	4	,	,	PUNCT
iajs-3805	263	5	c.	c.	PROPN
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iajs-3805	263	8	and	and	CCONJ
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iajs-3805	263	10	.	.	PUNCT
iajs-3805	264	1	springer	springer	NOUN
iajs-3805	264	2	-	-	PUNCT
iajs-3805	264	3	verlag	verlag	PROPN
iajs-3805	264	4	,	,	PUNCT
iajs-3805	264	5	new	new	PROPN
iajs-3805	264	6	york	york	PROPN
iajs-3805	264	7	,	,	PUNCT
iajs-3805	264	8	ny	ny	PROPN
iajs-3805	264	9	,	,	PUNCT
iajs-3805	264	10	usa	usa	PROPN
iajs-3805	264	11	,	,	PUNCT
iajs-3805	264	12	1999	1999	NUM
iajs-3805	264	13	.	.	PUNCT
iajs-3805	265	1	19	19	NUM
iajs-3805	265	2	.	.	X
iajs-3805	266	1	some	some	PRON
iajs-3805	266	2	,	,	PUNCT
iajs-3805	266	3	s.m	s.m	PROPN
iajs-3805	266	4	.	.	PROPN
iajs-3805	266	5	;	;	PUNCT
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iajs-3805	266	7	,	,	PUNCT
iajs-3805	266	8	c.c	c.c	PROPN
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iajs-3805	266	15	nonparametric	nonparametric	ADJ
iajs-3805	266	16	multiple	multiple	NOUN
iajs-3805	266	17	.	.	PUNCT
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iajs-3805	267	4	-	-	PUNCT
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iajs-3805	267	11	,	,	PUNCT
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iajs-3805	267	13	-	-	SYM
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iajs-3805	267	15	.	.	PUNCT
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iajs-3805	268	2	.	.	PUNCT
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iajs-3805	269	2	.	.	PUNCT
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iajs-3805	269	5	.	.	PUNCT
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iajs-3805	270	4	analysis	analysis	NOUN
iajs-3805	270	5	.	.	PUNCT
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iajs-3805	271	10	.	.	PUNCT
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iajs-3805	272	2	.	.	X
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iajs-3805	272	9	nonparametric	nonparametric	ADJ
iajs-3805	272	10	kernel	kernel	PROPN
iajs-3805	272	11	estimation	estimation	PROPN
iajs-3805	272	12	.	.	PUNCT
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iajs-3805	273	3	,	,	PUNCT
iajs-3805	273	4	göttingen	göttingen	NOUN
iajs-3805	273	5	,	,	PUNCT
iajs-3805	273	6	georg	georg	NOUN
iajs-3805	273	7	-	-	PUNCT
iajs-3805	273	8	august	august	PROPN
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iajs-3805	273	10	,	,	PUNCT
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iajs-3805	273	12	.	.	PUNCT
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iajs-3805	274	2	.	.	PUNCT
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iajs-3805	275	2	,	,	PUNCT
iajs-3805	275	3	h.	h.	PROPN
iajs-3805	275	4	;	;	PUNCT
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iajs-3805	275	6	,	,	PUNCT
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iajs-3805	276	8	56(1	56(1	NUM
iajs-3805	276	9	)	)	PUNCT
iajs-3805	276	10	,	,	PUNCT
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iajs-3805	278	9	.	.	PUNCT
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iajs-3805	280	8	nonparametric	nonparametric	NOUN
iajs-3805	280	9	regression	regression	NOUN
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iajs-3805	281	5	.	.	PUNCT
iajs-3805	282	1	25	25	NUM
iajs-3805	282	2	.	.	PUNCT
iajs-3805	283	1	fox	fox	PROPN
iajs-3805	283	2	,	,	PUNCT
iajs-3805	283	3	j.	j.	PROPN
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iajs-3805	283	5	regression	regression	PROPN
iajs-3805	283	6	.	.	PUNCT
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iajs-3805	284	6	canada	canada	PROPN
iajs-3805	284	7	,	,	PUNCT
iajs-3805	284	8	2004,1	2004,1	NOUN
iajs-3805	284	9	-	-	SYM
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iajs-3805	284	11	.	.	PUNCT
iajs-3805	285	1	26	26	NUM
iajs-3805	285	2	.	.	PUNCT
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iajs-3805	286	2	,	,	PUNCT
iajs-3805	286	3	l.	l.	PROPN
iajs-3805	286	4	;	;	PUNCT
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iajs-3805	286	6	,	,	PUNCT
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iajs-3805	286	24	.	.	PUNCT
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iajs-3805	287	5	new	new	PROPN
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iajs-3805	287	7	,	,	PUNCT
iajs-3805	287	8	ny	ny	PROPN
iajs-3805	287	9	,	,	PUNCT
iajs-3805	287	10	usa	usa	PROPN
iajs-3805	287	11	,	,	PUNCT
iajs-3805	287	12	2002	2002	NUM
iajs-3805	287	13	.	.	PUNCT
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iajs-3805	288	2	.	.	NOUN
iajs-3805	288	3	27	27	NUM
iajs-3805	288	4	.	.	PUNCT
iajs-3805	289	1	hens	hen	NOUN
iajs-3805	289	2	,	,	PUNCT
iajs-3805	289	3	n.	n.	NOUN
iajs-3805	289	4	nonand	nonand	PROPN
iajs-3805	289	5	semi	semi	ADJ
iajs-3805	289	6	-	-	ADJ
iajs-3805	289	7	parametric	parametric	ADJ
iajs-3805	289	8	techniques	technique	NOUN
iajs-3805	289	9	for	for	ADP
iajs-3805	289	10	handling	handle	VERB
iajs-3805	289	11	missing	miss	VERB
iajs-3805	289	12	data	datum	NOUN
iajs-3805	289	13	.	.	PUNCT
iajs-3805	290	1	limburgs	limburgs	PROPN
iajs-3805	290	2	universitair	universitair	PROPN
iajs-3805	290	3	centrum	centrum	PROPN
iajs-3805	290	4	(	(	PUNCT
iajs-3805	290	5	belgium	belgium	PROPN
iajs-3805	290	6	)	)	PUNCT
iajs-3805	290	7	,	,	PUNCT
iajs-3805	290	8	2005	2005	NUM
iajs-3805	290	9	.	.	PUNCT
iajs-3805	291	1	28	28	NUM
iajs-3805	291	2	.	.	PUNCT
iajs-3805	291	3	jasim	jasim	PROPN
iajs-3805	291	4	,	,	PUNCT
iajs-3805	291	5	o.r	o.r	PROPN
iajs-3805	291	6	.	.	PROPN
iajs-3805	291	7	;	;	PUNCT
iajs-3805	291	8	al	al	PROPN
iajs-3805	291	9	-	-	PUNCT
iajs-3805	291	10	qazaz	qazaz	PROPN
iajs-3805	291	11	,	,	PUNCT
iajs-3805	291	12	o.n.n	o.n.n	PROPN
iajs-3805	291	13	.	.	PROPN
iajs-3805	291	14	nonparametric	nonparametric	PROPN
iajs-3805	291	15	estimation	estimation	NOUN
iajs-3805	291	16	in	in	ADP
iajs-3805	291	17	doubly	doubly	ADV
iajs-3805	291	18	geometric	geometric	ADJ
iajs-3805	291	19	stochastic	stochastic	ADJ
iajs-3805	291	20	processes	process	NOUN
iajs-3805	291	21	.	.	PUNCT
iajs-3805	292	1	international	international	ADJ
iajs-3805	292	2	journal	journal	NOUN
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iajs-3805	292	4	agricultural	agricultural	ADJ
iajs-3805	292	5	and	and	CCONJ
iajs-3805	292	6	statistical	statistical	ADJ
iajs-3805	292	7	sciences	science	NOUN
iajs-3805	292	8	2021	2021	NUM
iajs-3805	292	9	,	,	PUNCT
iajs-3805	292	10	17(1	17(1	NUM
iajs-3805	292	11	)	)	PUNCT
iajs-3805	292	12	,	,	PUNCT
iajs-3805	292	13	2113–2122	2113–2122	NUM
iajs-3805	292	14	.	.	PUNCT
iajs-3805	293	1	https://connectjournals.com/03899.2021.17	https://connectjournals.com/03899.2021.17	PROPN
iajs-3805	293	2	.	.	PROPN
iajs-3805	293	3	29	29	NUM
iajs-3805	293	4	.	.	PUNCT
iajs-3805	294	1	takezawa	takezawa	PROPN
iajs-3805	294	2	,	,	PUNCT
iajs-3805	294	3	k.	k.	PROPN
iajs-3805	294	4	introduction	introduction	NOUN
iajs-3805	294	5	to	to	ADP
iajs-3805	294	6	nonparametric	nonparametric	ADJ
iajs-3805	294	7	regression	regression	NOUN
iajs-3805	294	8	.	.	PUNCT
iajs-3805	295	1	john	john	PROPN
iajs-3805	295	2	wiley	wiley	PROPN
iajs-3805	295	3	,	,	PUNCT
iajs-3805	295	4	hoboken	hoboken	PROPN
iajs-3805	295	5	,	,	PUNCT
iajs-3805	295	6	nj	nj	PROPN
iajs-3805	295	7	,	,	PUNCT
iajs-3805	295	8	usa	usa	PROPN
iajs-3805	295	9	,	,	PUNCT
iajs-3805	295	10	2006	2006	NUM
iajs-3805	295	11	,	,	PUNCT
iajs-3805	295	12	90	90	NUM
iajs-3805	295	13	.	.	PUNCT
iajs-3805	295	14	https://doi.org/10.1007/s10182-006-0007-9	https://doi.org/10.1007/s10182-006-0007-9	PROPN
iajs-3805	295	15	.	.	PUNCT
iajs-3805	296	1	https://connectjournals.com/03899.2021.17.815	https://connectjournals.com/03899.2021.17.815	AUX
iajs-3805	296	2	https://www.jstor.org/stable/2680742	https://www.jstor.org/stable/2680742	ADV
iajs-3805	296	3	https://doi.org/10.1016/j.csda.2004.10.007	https://doi.org/10.1016/j.csda.2004.10.007	PROPN
iajs-3805	296	4	https://www.jstor.org/stable/2696513	https://www.jstor.org/stable/2696513	NOUN
iajs-3805	296	5	http://dx.doi.org/10.1109/tc.1976.1674577	http://dx.doi.org/10.1109/tc.1976.1674577	PROPN
iajs-3805	296	6	https://doi.org/1021533/pen.v9i3.2079.g862	https://doi.org/1021533/pen.v9i3.2079.g862	NOUN
iajs-3805	296	7	https://doi.org/101080/15598608.2016.1160010	https://doi.org/101080/15598608.2016.1160010	PROPN
iajs-3805	296	8	https://doi.org/10.1007/b97848	https://doi.org/10.1007/b97848	PROPN
iajs-3805	296	9	https://connectjournals.com/03899.2021.17	https://connectjournals.com/03899.2021.17	PROPN
iajs-3805	296	10	https://doi.org/10.1007/s10182-006-0007-9	https://doi.org/10.1007/s10182-006-0007-9	PROPN
iajs-3805	296	11	ihjpas	ihjpas	PROPN
iajs-3805	296	12	.	.	PUNCT
iajs-3805	297	1	2024	2024	NUM
iajs-3805	297	2	,	,	PUNCT
iajs-3805	297	3	37(4	37(4	NOUN
iajs-3805	297	4	)	)	PUNCT
iajs-3805	297	5	422	422	NUM
iajs-3805	297	6	30	30	NUM
iajs-3805	297	7	.	.	PUNCT
iajs-3805	297	8	breidt	breidt	PROPN
iajs-3805	297	9	,	,	PUNCT
iajs-3805	297	10	f.j	f.j	PROPN
iajs-3805	297	11	.	.	PROPN
iajs-3805	297	12	;	;	PUNCT
iajs-3805	297	13	opsomer	opsomer	PROPN
iajs-3805	297	14	,	,	PUNCT
iajs-3805	297	15	j.d	j.d	PROPN
iajs-3805	297	16	.	.	PROPN
iajs-3805	297	17	nonparametric	nonparametric	PROPN
iajs-3805	297	18	and	and	CCONJ
iajs-3805	297	19	semiparametric	semiparametric	NOUN
iajs-3805	297	20	estimation	estimation	NOUN
iajs-3805	297	21	in	in	ADP
iajs-3805	297	22	complex	complex	ADJ
iajs-3805	297	23	surveys	survey	NOUN
iajs-3805	297	24	,	,	PUNCT
iajs-3805	297	25	in	in	ADP
iajs-3805	297	26	d.	d.	PROPN
iajs-3805	297	27	pfeffermann	pfeffermann	PROPN
iajs-3805	297	28	,	,	PUNCT
iajs-3805	297	29	c.r	c.r	PROPN
iajs-3805	297	30	.	.	PROPN
iajs-3805	297	31	rao	rao	PROPN
iajs-3805	297	32	(	(	PUNCT
iajs-3805	297	33	eds	ed	NOUN
iajs-3805	297	34	.	.	PUNCT
iajs-3805	297	35	)	)	PUNCT
iajs-3805	297	36	.	.	PUNCT
iajs-3805	298	1	handbook	handbook	NOUN
iajs-3805	298	2	of	of	ADP
iajs-3805	298	3	statistics	statistic	NOUN
iajs-3805	298	4	2009	2009	NUM
iajs-3805	298	5	,	,	PUNCT
iajs-3805	298	6	29	29	NUM
iajs-3805	298	7	,	,	PUNCT
iajs-3805	298	8	103	103	NUM
iajs-3805	298	9	-	-	SYM
iajs-3805	298	10	121	121	NUM
iajs-3805	298	11	.	.	PUNCT
iajs-3805	299	1	https://doi.org/10.1016/s0169-7161(09)00227-2	https://doi.org/10.1016/s0169-7161(09)00227-2	NOUN
iajs-3805	299	2	.	.	PROPN
iajs-3805	299	3	31	31	NUM
iajs-3805	299	4	.	.	PUNCT
iajs-3805	300	1	kromann	kromann	PROPN
iajs-3805	300	2	,	,	PUNCT
iajs-3805	300	3	b.	b.	PROPN
iajs-3805	300	4	nonparametric	nonparametric	PROPN
iajs-3805	300	5	kernel	kernel	PROPN
iajs-3805	300	6	density	density	PROPN
iajs-3805	300	7	estimation	estimation	NOUN
iajs-3805	300	8	.	.	PUNCT
iajs-3805	301	1	statistical	statistical	ADJ
iajs-3805	301	2	science	science	NOUN
iajs-3805	301	3	,	,	PUNCT
iajs-3805	301	4	working	working	NOUN
iajs-3805	301	5	paper	paper	NOUN
iajs-3805	301	6	,	,	PUNCT
iajs-3805	301	7	1995	1995	NUM
iajs-3805	301	8	.	.	PUNCT
iajs-3805	302	1	32	32	NUM
iajs-3805	302	2	.	.	PUNCT
iajs-3805	303	1	hollander	hollander	NOUN
iajs-3805	303	2	,	,	PUNCT
iajs-3805	303	3	m.	m.	NOUN
iajs-3805	303	4	;	;	PUNCT
iajs-3805	303	5	wolfe	wolfe	PROPN
iajs-3805	303	6	,	,	PUNCT
iajs-3805	303	7	d.a	d.a	PROPN
iajs-3805	303	8	.	.	PROPN
iajs-3805	303	9	;	;	PUNCT
iajs-3805	303	10	chicken	chicken	PROPN
iajs-3805	303	11	,	,	PUNCT
iajs-3805	303	12	e.	e.	PROPN
iajs-3805	303	13	nonparametric	nonparametric	PROPN
iajs-3805	303	14	statistical	statistical	ADJ
iajs-3805	303	15	methods	method	NOUN
iajs-3805	303	16	.	.	PUNCT
iajs-3805	304	1	john	john	PROPN
iajs-3805	304	2	wiley	wiley	PROPN
iajs-3805	304	3	&	&	CCONJ
iajs-3805	304	4	sons	son	NOUN
iajs-3805	304	5	,	,	PUNCT
iajs-3805	304	6	2013	2013	NUM
iajs-3805	304	7	.	.	PUNCT
iajs-3805	305	1	33	33	NUM
iajs-3805	305	2	.	.	PUNCT
iajs-3805	306	1	avery	avery	PROPN
iajs-3805	306	2	,	,	PUNCT
iajs-3805	306	3	m.	m.	NOUN
iajs-3805	306	4	literature	literature	PROPN
iajs-3805	306	5	review	review	PROPN
iajs-3805	306	6	for	for	ADP
iajs-3805	306	7	local	local	ADJ
iajs-3805	306	8	polynomial	polynomial	ADJ
iajs-3805	306	9	regression	regression	NOUN
iajs-3805	306	10	,	,	PUNCT
iajs-3805	306	11	unpublished	unpublished	ADJ
iajs-3805	306	12	manuscript	manuscript	NOUN
iajs-3805	306	13	,	,	PUNCT
iajs-3805	306	14	2010	2010	NUM
iajs-3805	306	15	.	.	PUNCT
iajs-3805	307	1	34	34	NUM
iajs-3805	307	2	.	.	PUNCT
iajs-3805	307	3	fan	fan	PROPN
iajs-3805	307	4	,	,	PUNCT
iajs-3805	307	5	j.	j.	PROPN
iajs-3805	307	6	;	;	PUNCT
iajs-3805	307	7	gijbels	gijbel	NOUN
iajs-3805	307	8	,	,	PUNCT
iajs-3805	307	9	i.	i.	NOUN
iajs-3805	307	10	a	a	DET
iajs-3805	307	11	study	study	NOUN
iajs-3805	307	12	of	of	ADP
iajs-3805	307	13	variable	variable	ADJ
iajs-3805	307	14	bandwidth	bandwidth	ADJ
iajs-3805	307	15	selection	selection	NOUN
iajs-3805	307	16	for	for	ADP
iajs-3805	307	17	local	local	ADJ
iajs-3805	307	18	polynomial	polynomial	ADJ
iajs-3805	307	19	regression	regression	NOUN
iajs-3805	307	20	.	.	PUNCT
iajs-3805	308	1	statistica	statistica	PROPN
iajs-3805	308	2	sinica	sinica	PROPN
iajs-3805	308	3	1996	1996	NUM
iajs-3805	308	4	,	,	PUNCT
iajs-3805	308	5	113	113	NUM
iajs-3805	308	6	-	-	SYM
iajs-3805	308	7	127	127	NUM
iajs-3805	308	8	.	.	PUNCT
iajs-3805	309	1	https://www.jstor.org/stable/24306002	https://www.jstor.org/stable/24306002	NOUN
iajs-3805	309	2	.	.	PUNCT
iajs-3805	310	1	35	35	NUM
iajs-3805	310	2	.	.	PUNCT
iajs-3805	311	1	fan	fan	PROPN
iajs-3805	311	2	,	,	PUNCT
iajs-3805	311	3	j.	j.	PROPN
iajs-3805	311	4	;	;	PUNCT
iajs-3805	311	5	gijbels	gijbels	PROPN
iajs-3805	311	6	,	,	PUNCT
iajs-3805	311	7	i.	i.	NOUN
iajs-3805	311	8	variable	variable	ADJ
iajs-3805	311	9	bandwidth	bandwidth	ADJ
iajs-3805	311	10	linear	linear	PROPN
iajs-3805	311	11	regression	regression	NOUN
iajs-3805	311	12	smoothers	smoother	NOUN
iajs-3805	311	13	.	.	PUNCT
iajs-3805	312	1	the	the	DET
iajs-3805	312	2	annals	annal	NOUN
iajs-3805	312	3	of	of	ADP
iajs-3805	312	4	statistics	statistic	NOUN
iajs-3805	312	5	1992	1992	NUM
iajs-3805	312	6	,	,	PUNCT
iajs-3805	312	7	4	4	NUM
iajs-3805	312	8	,	,	PUNCT
iajs-3805	312	9	2008	2008	NUM
iajs-3805	312	10	-	-	SYM
iajs-3805	312	11	2036	2036	NUM
iajs-3805	312	12	.	.	PUNCT
iajs-3805	313	1	36	36	NUM
iajs-3805	313	2	.	.	PUNCT
iajs-3805	313	3	fan	fan	PROPN
iajs-3805	313	4	,	,	PUNCT
iajs-3805	313	5	j.	j.	PROPN
iajs-3805	313	6	;	;	PUNCT
iajs-3805	313	7	gijbels	gijbels	PROPN
iajs-3805	313	8	,	,	PUNCT
iajs-3805	313	9	i.	i.	PROPN
iajs-3805	313	10	data	data	PROPN
iajs-3805	313	11	-	-	PUNCT
iajs-3805	313	12	driven	drive	VERB
iajs-3805	313	13	bandwidth	bandwidth	ADJ
iajs-3805	313	14	selection	selection	NOUN
iajs-3805	313	15	in	in	ADP
iajs-3805	313	16	local	local	ADJ
iajs-3805	313	17	polynomial	polynomial	ADJ
iajs-3805	313	18	fitting	fitting	ADJ
iajs-3805	313	19	:	:	PUNCT
iajs-3805	313	20	variable	variable	ADJ
iajs-3805	313	21	bandwidth	bandwidth	NOUN
iajs-3805	313	22	and	and	CCONJ
iajs-3805	313	23	spatial	spatial	ADJ
iajs-3805	313	24	adaptation	adaptation	NOUN
iajs-3805	313	25	.	.	PUNCT
iajs-3805	314	1	journal	journal	NOUN
iajs-3805	314	2	of	of	ADP
iajs-3805	314	3	the	the	DET
iajs-3805	314	4	royal	royal	ADJ
iajs-3805	314	5	statistical	statistical	ADJ
iajs-3805	314	6	society	society	NOUN
iajs-3805	314	7	:	:	PUNCT
iajs-3805	314	8	series	series	PROPN
iajs-3805	314	9	b	b	PROPN
iajs-3805	314	10	(	(	PUNCT
iajs-3805	314	11	methodological	methodological	ADJ
iajs-3805	314	12	)	)	PUNCT
iajs-3805	314	13	1995	1995	NUM
iajs-3805	314	14	,	,	PUNCT
iajs-3805	314	15	57(2	57(2	NUM
iajs-3805	314	16	)	)	PUNCT
iajs-3805	314	17	,	,	PUNCT
iajs-3805	314	18	371394	371394	NUM
iajs-3805	314	19	.	.	PUNCT
iajs-3805	315	1	https://www.jstor.org/stable/24306002	https://www.jstor.org/stable/24306002	NOUN
iajs-3805	315	2	.	.	PUNCT
iajs-3805	316	1	37	37	NUM
iajs-3805	316	2	.	.	PUNCT
iajs-3805	317	1	fan	fan	PROPN
iajs-3805	317	2	,	,	PUNCT
iajs-3805	317	3	j.	j.	PROPN
iajs-3805	317	4	local	local	ADJ
iajs-3805	317	5	linear	linear	PROPN
iajs-3805	317	6	regression	regression	NOUN
iajs-3805	317	7	smoothers	smoother	NOUN
iajs-3805	317	8	and	and	CCONJ
iajs-3805	317	9	their	their	PRON
iajs-3805	317	10	minimax	minimax	NOUN
iajs-3805	317	11	efficiencies	efficiency	NOUN
iajs-3805	317	12	.	.	PUNCT
iajs-3805	318	1	the	the	DET
iajs-3805	318	2	annals	annal	NOUN
iajs-3805	318	3	of	of	ADP
iajs-3805	318	4	statistics	statistic	NOUN
iajs-3805	318	5	1993	1993	NUM
iajs-3805	318	6	,	,	PUNCT
iajs-3805	318	7	21(1	21(1	NUM
iajs-3805	318	8	)	)	PUNCT
iajs-3805	318	9	,	,	PUNCT
iajs-3805	318	10	196	196	NUM
iajs-3805	318	11	-	-	SYM
iajs-3805	318	12	216	216	NUM
iajs-3805	318	13	.	.	PUNCT
iajs-3805	319	1	https://doi.org/10.1214/aos/1176349022	https://doi.org/10.1214/aos/1176349022	NOUN
iajs-3805	319	2	.	.	PUNCT
iajs-3805	320	1	38	38	NUM
iajs-3805	320	2	.	.	PUNCT
iajs-3805	320	3	wand	wand	NOUN
iajs-3805	320	4	,	,	PUNCT
iajs-3805	320	5	m.p	m.p	PROPN
iajs-3805	320	6	.	.	PROPN
iajs-3805	320	7	;	;	PUNCT
iajs-3805	320	8	jones	jones	PROPN
iajs-3805	320	9	,	,	PUNCT
iajs-3805	320	10	m.c	m.c	PROPN
iajs-3805	320	11	.	.	PROPN
iajs-3805	320	12	kernel	kernel	PROPN
iajs-3805	320	13	smoothing	smoothing	NOUN
iajs-3805	320	14	.	.	PUNCT
iajs-3805	320	15	springer	springer	NOUN
iajs-3805	320	16	,	,	PUNCT
iajs-3805	320	17	1995	1995	NUM
iajs-3805	320	18	.	.	PUNCT
iajs-3805	321	1	39	39	NUM
iajs-3805	321	2	.	.	PUNCT
iajs-3805	322	1	hamilton	hamilton	PROPN
iajs-3805	322	2	,	,	PUNCT
iajs-3805	322	3	s.a	s.a	PROPN
iajs-3805	322	4	.	.	PROPN
iajs-3805	322	5	;	;	PUNCT
iajs-3805	322	6	truong	truong	PROPN
iajs-3805	322	7	,	,	PUNCT
iajs-3805	322	8	y.k	y.k	PROPN
iajs-3805	322	9	.	.	PROPN
iajs-3805	322	10	local	local	ADJ
iajs-3805	322	11	linear	linear	PROPN
iajs-3805	322	12	estimation	estimation	NOUN
iajs-3805	322	13	in	in	ADP
iajs-3805	322	14	partly	partly	ADV
iajs-3805	322	15	linear	linear	ADJ
iajs-3805	322	16	models	model	NOUN
iajs-3805	322	17	.	.	PUNCT
iajs-3805	323	1	journal	journal	NOUN
iajs-3805	323	2	of	of	ADP
iajs-3805	323	3	multivariate	multivariate	NOUN
iajs-3805	323	4	analysis	analysis	NOUN
iajs-3805	323	5	1997	1997	NUM
iajs-3805	323	6	,	,	PUNCT
iajs-3805	323	7	60(1	60(1	NUM
iajs-3805	323	8	)	)	PUNCT
iajs-3805	323	9	,	,	PUNCT
iajs-3805	323	10	1	1	NUM
iajs-3805	323	11	-	-	SYM
iajs-3805	323	12	19	19	NUM
iajs-3805	323	13	.	.	NOUN
iajs-3805	323	14	40	40	NUM
iajs-3805	323	15	.	.	PUNCT
iajs-3805	324	1	wand	wand	NOUN
iajs-3805	324	2	,	,	PUNCT
iajs-3805	324	3	m.p	m.p	PROPN
iajs-3805	324	4	.	.	PROPN
iajs-3805	324	5	;	;	PUNCT
iajs-3805	324	6	jones	jones	PROPN
iajs-3805	324	7	,	,	PUNCT
iajs-3805	324	8	m.c	m.c	PROPN
iajs-3805	324	9	.	.	PROPN
iajs-3805	324	10	kernel	kernel	PROPN
iajs-3805	324	11	smoothing	smoothing	NOUN
iajs-3805	324	12	.	.	PUNCT
iajs-3805	325	1	chapman	chapman	NOUN
iajs-3805	325	2	and	and	CCONJ
iajs-3805	325	3	hall	hall	PROPN
iajs-3805	325	4	,	,	PUNCT
iajs-3805	325	5	new	new	PROPN
iajs-3805	325	6	york	york	PROPN
iajs-3805	325	7	,	,	PUNCT
iajs-3805	325	8	ny	ny	PROPN
iajs-3805	325	9	,	,	PUNCT
iajs-3805	325	10	usa	usa	PROPN
iajs-3805	325	11	,	,	PUNCT
iajs-3805	325	12	1995	1995	NUM
iajs-3805	325	13	.	.	PUNCT
iajs-3805	326	1	41	41	NUM
iajs-3805	326	2	.	.	PUNCT
iajs-3805	326	3	ali	ali	PROPN
iajs-3805	326	4	,	,	PUNCT
iajs-3805	326	5	o.a	o.a	PROPN
iajs-3805	326	6	.	.	PROPN
iajs-3805	326	7	suggesting	suggest	VERB
iajs-3805	326	8	multiphase	multiphase	PROPN
iajs-3805	326	9	regression	regression	PROPN
iajs-3805	326	10	model	model	NOUN
iajs-3805	326	11	estimation	estimation	NOUN
iajs-3805	326	12	with	with	ADP
iajs-3805	326	13	some	some	DET
iajs-3805	326	14	threshold	threshold	NOUN
iajs-3805	326	15	point	point	NOUN
iajs-3805	326	16	.	.	PUNCT
iajs-3805	327	1	journal	journal	PROPN
iajs-3805	327	2	of	of	ADP
iajs-3805	327	3	mechanics	mechanic	NOUN
iajs-3805	327	4	of	of	ADP
iajs-3805	327	5	continua	continua	PROPN
iajs-3805	327	6	and	and	CCONJ
iajs-3805	327	7	mathematical	mathematical	ADJ
iajs-3805	327	8	sciences	science	NOUN
iajs-3805	327	9	2020	2020	NUM
iajs-3805	327	10	,	,	PUNCT
iajs-3805	327	11	15(2	15(2	NUM
iajs-3805	327	12	)	)	PUNCT
iajs-3805	327	13	,	,	PUNCT
iajs-3805	327	14	212	212	NUM
iajs-3805	327	15	-	-	SYM
iajs-3805	327	16	223	223	NUM
iajs-3805	327	17	.	.	PUNCT
iajs-3805	328	1	https://doi.org/10.26782/jmcms.2020.02.00019	https://doi.org/10.26782/jmcms.2020.02.00019	X
iajs-3805	328	2	.	.	PUNCT
iajs-3805	329	1	42	42	NUM
iajs-3805	329	2	.	.	PUNCT
iajs-3805	330	1	lmbens	lmben	NOUN
iajs-3805	330	2	,	,	PUNCT
iajs-3805	330	3	g.	g.	PROPN
iajs-3805	330	4	;	;	PUNCT
iajs-3805	330	5	kalyanaraman	kalyanaraman	PROPN
iajs-3805	330	6	,	,	PUNCT
iajs-3805	330	7	k.	k.	PROPN
iajs-3805	330	8	optimal	optimal	ADJ
iajs-3805	330	9	bandwidth	bandwidth	ADJ
iajs-3805	330	10	choice	choice	NOUN
iajs-3805	330	11	for	for	ADP
iajs-3805	330	12	the	the	DET
iajs-3805	330	13	regression	regression	NOUN
iajs-3805	330	14	discontinuity	discontinuity	NOUN
iajs-3805	330	15	estimator	estimator	NOUN
iajs-3805	330	16	.	.	PUNCT
iajs-3805	331	1	review	review	NOUN
iajs-3805	331	2	of	of	ADP
iajs-3805	331	3	economic	economic	ADJ
iajs-3805	331	4	studies	study	NOUN
iajs-3805	331	5	2009	2009	NUM
iajs-3805	331	6	,	,	PUNCT
iajs-3805	331	7	79	79	NUM
iajs-3805	331	8	,	,	PUNCT
iajs-3805	331	9	933–959	933–959	NUM
iajs-3805	331	10	.	.	NOUN
iajs-3805	332	1	43	43	NUM
iajs-3805	332	2	.	.	PUNCT
iajs-3805	333	1	eubank	eubank	PROPN
iajs-3805	333	2	,	,	PUNCT
iajs-3805	333	3	r.l	r.l	PROPN
iajs-3805	333	4	.	.	PROPN
iajs-3805	333	5	;	;	PUNCT
iajs-3805	333	6	shucany	shucany	PROPN
iajs-3805	333	7	,	,	PUNCT
iajs-3805	333	8	r.w	r.w	PROPN
iajs-3805	333	9	.	.	PROPN
iajs-3805	333	10	adaptive	adaptive	ADJ
iajs-3805	333	11	bandwidth	bandwidth	ADJ
iajs-3805	333	12	choice	choice	NOUN
iajs-3805	333	13	for	for	ADP
iajs-3805	333	14	kernel	kernel	PROPN
iajs-3805	333	15	regression	regression	PROPN
iajs-3805	333	16	.	.	PUNCT
iajs-3805	334	1	journal	journal	NOUN
iajs-3805	334	2	of	of	ADP
iajs-3805	334	3	economic	economic	ADJ
iajs-3805	334	4	and	and	CCONJ
iajs-3805	334	5	administrative	administrative	ADJ
iajs-3805	334	6	sciences	science	NOUN
iajs-3805	334	7	1990	1990	NUM
iajs-3805	334	8	,	,	PUNCT
iajs-3805	334	9	5	5	NUM
iajs-3805	334	10	,	,	PUNCT
iajs-3805	334	11	1	1	NUM
iajs-3805	334	12	-	-	SYM
iajs-3805	334	13	15	15	NUM
iajs-3805	334	14	.	.	PUNCT
iajs-3805	335	1	https://doi.org/10.33095/jeas.v18i65.1112	https://doi.org/10.33095/jeas.v18i65.1112	PROPN
iajs-3805	335	2	.	.	PROPN
iajs-3805	336	1	44	44	NUM
iajs-3805	336	2	.	.	PUNCT
iajs-3805	337	1	habbema	habbema	PROPN
iajs-3805	337	2	,	,	PUNCT
iajs-3805	337	3	j.d.f	j.d.f	PROPN
iajs-3805	337	4	.	.	PUNCT
iajs-3805	338	1	;	;	PUNCT
iajs-3805	338	2	hermans	hermans	PROPN
iajs-3805	338	3	,	,	PUNCT
iajs-3805	338	4	j.	j.	PROPN
iajs-3805	338	5	;	;	PUNCT
iajs-3805	338	6	van	van	PROPN
iajs-3805	338	7	den	den	PROPN
iajs-3805	338	8	broek	broek	PROPN
iajs-3805	338	9	,	,	PUNCT
iajs-3805	338	10	k.	k.	PROPN
iajs-3805	339	1	a	a	DET
iajs-3805	339	2	stepwise	stepwise	ADJ
iajs-3805	339	3	discrimination	discrimination	NOUN
iajs-3805	339	4	analysis	analysis	NOUN
iajs-3805	339	5	program	program	NOUN
iajs-3805	339	6	using	use	VERB
iajs-3805	339	7	density	density	NOUN
iajs-3805	339	8	estimation	estimation	NOUN
iajs-3805	339	9	.	.	PUNCT
iajs-3805	340	1	proceedings	proceeding	NOUN
iajs-3805	340	2	in	in	ADP
iajs-3805	340	3	computational	computational	ADJ
iajs-3805	340	4	statistics	statistic	NOUN
iajs-3805	340	5	,	,	PUNCT
iajs-3805	340	6	physica	physica	PROPN
iajs-3805	340	7	verlag	verlag	PROPN
iajs-3805	340	8	,	,	PUNCT
iajs-3805	340	9	vienna	vienna	PROPN
iajs-3805	340	10	,	,	PUNCT
iajs-3805	340	11	1974	1974	NUM
iajs-3805	340	12	.	.	PUNCT
iajs-3805	341	1	45	45	NUM
iajs-3805	341	2	.	.	PUNCT
iajs-3805	341	3	cao	cao	PROPN
iajs-3805	341	4	,	,	PUNCT
iajs-3805	341	5	r.	r.	PROPN
iajs-3805	341	6	;	;	PUNCT
iajs-3805	341	7	cuevas	cuevas	PROPN
iajs-3805	341	8	,	,	PUNCT
iajs-3805	341	9	a.	a.	NOUN
iajs-3805	341	10	;	;	PUNCT
iajs-3805	341	11	gonzalez	gonzalez	PROPN
iajs-3805	341	12	-	-	PUNCT
iajs-3805	341	13	manteiga	manteiga	PROPN
iajs-3805	341	14	,	,	PUNCT
iajs-3805	341	15	w.	w.	PROPN
iajs-3805	341	16	a	a	DET
iajs-3805	341	17	comparative	comparative	ADJ
iajs-3805	341	18	study	study	NOUN
iajs-3805	341	19	of	of	ADP
iajs-3805	341	20	several	several	ADJ
iajs-3805	341	21	smoothing	smooth	VERB
iajs-3805	341	22	methods	method	NOUN
iajs-3805	341	23	in	in	ADP
iajs-3805	341	24	density	density	NOUN
iajs-3805	341	25	estimation	estimation	NOUN
iajs-3805	341	26	.	.	PUNCT
iajs-3805	342	1	computational	computational	ADJ
iajs-3805	342	2	statistics	statistic	NOUN
iajs-3805	342	3	&	&	CCONJ
iajs-3805	342	4	data	datum	NOUN
iajs-3805	342	5	analysis	analysis	NOUN
iajs-3805	342	6	1994	1994	NUM
iajs-3805	342	7	,	,	PUNCT
iajs-3805	342	8	17(2	17(2	NUM
iajs-3805	342	9	)	)	PUNCT
iajs-3805	342	10	,	,	PUNCT
iajs-3805	342	11	153–176	153–176	NUM
iajs-3805	342	12	.	.	PUNCT
iajs-3805	343	1	https://doi.org/10.1016/0167-9473(92)00066-z	https://doi.org/10.1016/0167-9473(92)00066-z	NOUN
iajs-3805	343	2	.	.	PROPN
iajs-3805	344	1	46	46	NUM
iajs-3805	344	2	.	.	PUNCT
iajs-3805	345	1	scott	scott	PROPN
iajs-3805	345	2	,	,	PUNCT
iajs-3805	345	3	d.w	d.w	PROPN
iajs-3805	345	4	.	.	PROPN
iajs-3805	345	5	;	;	PUNCT
iajs-3805	345	6	terrell	terrell	PROPN
iajs-3805	345	7	,	,	PUNCT
iajs-3805	345	8	g.r	g.r	PROPN
iajs-3805	345	9	.	.	PROPN
iajs-3805	345	10	biased	biased	ADJ
iajs-3805	345	11	and	and	CCONJ
iajs-3805	345	12	unbiased	unbiased	ADJ
iajs-3805	345	13	cross	cross	NOUN
iajs-3805	345	14	-	-	NOUN
iajs-3805	345	15	validation	validation	NOUN
iajs-3805	345	16	in	in	ADP
iajs-3805	345	17	density	density	NOUN
iajs-3805	345	18	estimation	estimation	NOUN
iajs-3805	345	19	.	.	PUNCT
iajs-3805	346	1	journal	journal	NOUN
iajs-3805	346	2	of	of	ADP
iajs-3805	346	3	the	the	DET
iajs-3805	346	4	american	american	PROPN
iajs-3805	346	5	statistical	statistical	ADJ
iajs-3805	346	6	association	association	NOUN
iajs-3805	346	7	1987	1987	NUM
iajs-3805	346	8	,	,	PUNCT
iajs-3805	346	9	82	82	NUM
iajs-3805	346	10	,	,	PUNCT
iajs-3805	346	11	1131–1146	1131–1146	NUM
iajs-3805	346	12	.	.	PUNCT
iajs-3805	347	1	https://doi.org/10.1080/01621459.1987.10478550	https://doi.org/10.1080/01621459.1987.10478550	X
iajs-3805	347	2	.	.	PUNCT
iajs-3805	348	1	47	47	NUM
iajs-3805	348	2	.	.	PUNCT
iajs-3805	349	1	schafer	schafer	PROPN
iajs-3805	349	2	,	,	PUNCT
iajs-3805	349	3	c.	c.	PROPN
iajs-3805	349	4	;	;	PUNCT
iajs-3805	349	5	wasserman	wasserman	PROPN
iajs-3805	349	6	,	,	PUNCT
iajs-3805	349	7	l.	l.	PROPN
iajs-3805	349	8	tutorial	tutorial	PROPN
iajs-3805	349	9	on	on	ADP
iajs-3805	349	10	nonparametric	nonparametric	ADJ
iajs-3805	349	11	inference	inference	NOUN
iajs-3805	349	12	with	with	ADP
iajs-3805	349	13	r.	r.	PROPN
iajs-3805	349	14	carnegie	carnegie	PROPN
iajs-3805	349	15	mellon	mellon	PROPN
iajs-3805	349	16	university	university	PROPN
iajs-3805	349	17	,	,	PUNCT
iajs-3805	349	18	working	working	NOUN
iajs-3805	349	19	paper	paper	NOUN
iajs-3805	349	20	,	,	PUNCT
iajs-3805	349	21	2013	2013	NUM
iajs-3805	349	22	.	.	PUNCT
iajs-3805	350	1	https://doi.org/10.1016/s0169-7161(09)00227-2	https://doi.org/10.1016/s0169-7161(09)00227-2	NOUN
iajs-3805	350	2	https://www.jstor.org/stable/24306002	https://www.jstor.org/stable/24306002	NOUN
iajs-3805	350	3	https://www.jstor.org/stable/24306002	https://www.jstor.org/stable/24306002	NOUN
iajs-3805	350	4	https://doi.org/10.1214/aos/1176349022	https://doi.org/10.1214/aos/1176349022	NOUN
iajs-3805	350	5	https://doi.org/10.26782/jmcms.2020.02.00019	https://doi.org/10.26782/jmcms.2020.02.00019	VERB
iajs-3805	350	6	https://doi.org/10.33095/jeas.v18i65.1112	https://doi.org/10.33095/jeas.v18i65.1112	PROPN
iajs-3805	350	7	https://doi.org/10.1016/0167-9473(92)00066-z	https://doi.org/10.1016/0167-9473(92)00066-z	ADP
iajs-3805	350	8	https://doi.org/10.1080/01621459.1987.10478550	https://doi.org/10.1080/01621459.1987.10478550	PROPN