id	sid	tid	token	lemma	pos
ejpam-1362	1	1	compiles/166942874ebc3153602751f7ff246cfa	compiles/166942874ebc3153602751f7ff246cfa	NOUN
ejpam-1362	1	2	/	/	SYM
ejpam-1362	1	3	output.dvi	output.dvi	PROPN
ejpam-1362	1	4	european	european	PROPN
ejpam-1362	1	5	journal	journal	PROPN
ejpam-1362	1	6	of	of	ADP
ejpam-1362	1	7	pure	pure	ADJ
ejpam-1362	1	8	and	and	CCONJ
ejpam-1362	1	9	applied	apply	VERB
ejpam-1362	1	10	mathematics	mathematic	NOUN
ejpam-1362	1	11	vol	vol	NOUN
ejpam-1362	1	12	.	.	PROPN
ejpam-1362	2	1	6	6	NUM
ejpam-1362	2	2	,	,	PUNCT
ejpam-1362	2	3	no	no	INTJ
ejpam-1362	2	4	.	.	NOUN
ejpam-1362	2	5	2	2	NUM
ejpam-1362	2	6	,	,	PUNCT
ejpam-1362	2	7	2013	2013	NUM
ejpam-1362	2	8	,	,	PUNCT
ejpam-1362	2	9	222	222	NUM
ejpam-1362	2	10	-	-	SYM
ejpam-1362	2	11	238	238	NUM
ejpam-1362	2	12	issn	issn	PROPN
ejpam-1362	2	13	1307	1307	NUM
ejpam-1362	2	14	-	-	SYM
ejpam-1362	2	15	5543	5543	NUM
ejpam-1362	2	16	–	–	PUNCT
ejpam-1362	2	17	www.ejpam.com	www.ejpam.com	X
ejpam-1362	2	18	smoothing	smooth	VERB
ejpam-1362	2	19	parameter	parameter	NOUN
ejpam-1362	2	20	selection	selection	NOUN
ejpam-1362	2	21	for	for	ADP
ejpam-1362	2	22	nonparametric	nonparametric	NOUN
ejpam-1362	2	23	regression	regression	NOUN
ejpam-1362	2	24	using	use	VERB
ejpam-1362	2	25	smoothing	smooth	VERB
ejpam-1362	2	26	spline	spline	NOUN
ejpam-1362	2	27	dursun	dursun	NOUN
ejpam-1362	2	28	aydin	aydin	NOUN
ejpam-1362	2	29	1,∗	1,∗	NUM
ejpam-1362	2	30	,	,	PUNCT
ejpam-1362	2	31	memmedaga	memmedaga	ADJ
ejpam-1362	2	32	memmedli2	memmedli2	NOUN
ejpam-1362	2	33	,	,	PUNCT
ejpam-1362	2	34	rabia	rabia	PROPN
ejpam-1362	2	35	ece	ece	PROPN
ejpam-1362	3	1	omay2	omay2	PROPN
ejpam-1362	3	2	1	1	NUM
ejpam-1362	3	3	department	department	NOUN
ejpam-1362	3	4	of	of	ADP
ejpam-1362	3	5	statistics	statistic	NOUN
ejpam-1362	3	6	,	,	PUNCT
ejpam-1362	3	7	mugla	mugla	PROPN
ejpam-1362	3	8	sitki	sitki	VERB
ejpam-1362	3	9	kocman	kocman	PROPN
ejpam-1362	3	10	university	university	PROPN
ejpam-1362	3	11	48000	48000	NUM
ejpam-1362	3	12	mugla	mugla	PROPN
ejpam-1362	3	13	,	,	PUNCT
ejpam-1362	3	14	turkey	turkey	PROPN
ejpam-1362	3	15	2	2	NUM
ejpam-1362	3	16	department	department	NOUN
ejpam-1362	3	17	of	of	ADP
ejpam-1362	3	18	statistics	statistic	NOUN
ejpam-1362	3	19	,	,	PUNCT
ejpam-1362	3	20	anadolu	anadolu	PROPN
ejpam-1362	3	21	university	university	PROPN
ejpam-1362	3	22	26470	26470	NUM
ejpam-1362	3	23	eskisehir	eskisehir	ADJ
ejpam-1362	3	24	,	,	PUNCT
ejpam-1362	3	25	turkey	turkey	NOUN
ejpam-1362	3	26	abstract	abstract	NOUN
ejpam-1362	3	27	.	.	PUNCT
ejpam-1362	4	1	in	in	ADP
ejpam-1362	4	2	this	this	DET
ejpam-1362	4	3	paper	paper	NOUN
ejpam-1362	4	4	,	,	PUNCT
ejpam-1362	4	5	the	the	DET
ejpam-1362	4	6	smoothing	smooth	VERB
ejpam-1362	4	7	parameter	parameter	NOUN
ejpam-1362	4	8	selection	selection	NOUN
ejpam-1362	4	9	problem	problem	NOUN
ejpam-1362	4	10	has	have	AUX
ejpam-1362	4	11	been	be	AUX
ejpam-1362	4	12	examined	examine	VERB
ejpam-1362	4	13	in	in	ADP
ejpam-1362	4	14	respect	respect	NOUN
ejpam-1362	4	15	to	to	ADP
ejpam-1362	4	16	a	a	DET
ejpam-1362	4	17	smoothing	smooth	VERB
ejpam-1362	4	18	spline	spline	NOUN
ejpam-1362	4	19	implementation	implementation	NOUN
ejpam-1362	4	20	in	in	ADP
ejpam-1362	4	21	predicting	predict	VERB
ejpam-1362	4	22	nonparametric	nonparametric	ADJ
ejpam-1362	4	23	regression	regression	NOUN
ejpam-1362	4	24	models	model	NOUN
ejpam-1362	4	25	.	.	PUNCT
ejpam-1362	5	1	for	for	ADP
ejpam-1362	5	2	this	this	DET
ejpam-1362	5	3	purpose	purpose	NOUN
ejpam-1362	5	4	,	,	PUNCT
ejpam-1362	5	5	a	a	DET
ejpam-1362	5	6	simulation	simulation	NOUN
ejpam-1362	5	7	study	study	NOUN
ejpam-1362	5	8	has	have	AUX
ejpam-1362	5	9	been	be	AUX
ejpam-1362	5	10	performed	perform	VERB
ejpam-1362	5	11	by	by	ADP
ejpam-1362	5	12	using	use	VERB
ejpam-1362	5	13	a	a	DET
ejpam-1362	5	14	program	program	NOUN
ejpam-1362	5	15	written	write	VERB
ejpam-1362	5	16	in	in	ADP
ejpam-1362	5	17	matlab	matlab	PROPN
ejpam-1362	5	18	.	.	PUNCT
ejpam-1362	6	1	the	the	DET
ejpam-1362	6	2	simulation	simulation	NOUN
ejpam-1362	6	3	study	study	NOUN
ejpam-1362	6	4	provides	provide	VERB
ejpam-1362	6	5	a	a	DET
ejpam-1362	6	6	comparison	comparison	NOUN
ejpam-1362	6	7	of	of	ADP
ejpam-1362	6	8	the	the	DET
ejpam-1362	6	9	nine	nine	NUM
ejpam-1362	6	10	smoothing	smoothing	NOUN
ejpam-1362	6	11	parameter	parameter	NOUN
ejpam-1362	6	12	selection	selection	NOUN
ejpam-1362	6	13	methods	method	NOUN
ejpam-1362	6	14	.	.	PUNCT
ejpam-1362	7	1	in	in	ADP
ejpam-1362	7	2	this	this	DET
ejpam-1362	7	3	connection	connection	NOUN
ejpam-1362	7	4	,	,	PUNCT
ejpam-1362	7	5	500	500	NUM
ejpam-1362	7	6	replications	replication	NOUN
ejpam-1362	7	7	have	have	AUX
ejpam-1362	7	8	been	be	AUX
ejpam-1362	7	9	performed	perform	VERB
ejpam-1362	7	10	in	in	ADP
ejpam-1362	7	11	simulation	simulation	NOUN
ejpam-1362	7	12	for	for	ADP
ejpam-1362	7	13	sample	sample	NOUN
ejpam-1362	7	14	sets	set	NOUN
ejpam-1362	7	15	with	with	ADP
ejpam-1362	7	16	different	different	ADJ
ejpam-1362	7	17	sizes	size	NOUN
ejpam-1362	7	18	.	.	PUNCT
ejpam-1362	8	1	thus	thus	ADV
ejpam-1362	8	2	,	,	PUNCT
ejpam-1362	8	3	the	the	DET
ejpam-1362	8	4	appropriate	appropriate	ADJ
ejpam-1362	8	5	selection	selection	NOUN
ejpam-1362	8	6	criteria	criterion	NOUN
ejpam-1362	8	7	are	be	AUX
ejpam-1362	8	8	provided	provide	VERB
ejpam-1362	8	9	for	for	ADP
ejpam-1362	8	10	a	a	DET
ejpam-1362	8	11	suitable	suitable	ADJ
ejpam-1362	8	12	smoothing	smoothing	NOUN
ejpam-1362	8	13	parameter	parameter	NOUN
ejpam-1362	8	14	selection	selection	NOUN
ejpam-1362	8	15	.	.	PUNCT
ejpam-1362	9	1	2010	2010	NUM
ejpam-1362	9	2	mathematics	mathematic	NOUN
ejpam-1362	9	3	subject	subject	NOUN
ejpam-1362	9	4	classifications	classification	NOUN
ejpam-1362	9	5	:	:	PUNCT
ejpam-1362	9	6	62e17	62e17	NUM
ejpam-1362	9	7	,	,	PUNCT
ejpam-1362	9	8	65c05	65c05	NUM
ejpam-1362	9	9	,	,	PUNCT
ejpam-1362	9	10	65c20	65c20	NUM
ejpam-1362	9	11	,	,	PUNCT
ejpam-1362	9	12	65c60	65c60	NUM
ejpam-1362	9	13	key	key	ADJ
ejpam-1362	9	14	words	word	NOUN
ejpam-1362	9	15	and	and	CCONJ
ejpam-1362	9	16	phrases	phrase	NOUN
ejpam-1362	9	17	:	:	PUNCT
ejpam-1362	9	18	nonparametric	nonparametric	NOUN
ejpam-1362	9	19	regression	regression	NOUN
ejpam-1362	9	20	,	,	PUNCT
ejpam-1362	9	21	smoothing	smooth	VERB
ejpam-1362	9	22	spline	spline	NOUN
ejpam-1362	9	23	,	,	PUNCT
ejpam-1362	9	24	smoothing	smooth	VERB
ejpam-1362	9	25	parameter	parameter	NOUN
ejpam-1362	9	26	,	,	PUNCT
ejpam-1362	9	27	selection	selection	NOUN
ejpam-1362	9	28	criteria	criterion	NOUN
ejpam-1362	9	29	,	,	PUNCT
ejpam-1362	9	30	generalized	generalize	VERB
ejpam-1362	9	31	cross	cross	NOUN
ejpam-1362	9	32	validation	validation	NOUN
ejpam-1362	9	33	.	.	PUNCT
ejpam-1362	10	1	1	1	X
ejpam-1362	10	2	.	.	X
ejpam-1362	10	3	introduction	introduction	NOUN
ejpam-1362	10	4	smoothing	smooth	VERB
ejpam-1362	10	5	spline	spline	NOUN
ejpam-1362	10	6	method	method	NOUN
ejpam-1362	10	7	is	be	AUX
ejpam-1362	10	8	one	one	NUM
ejpam-1362	10	9	of	of	ADP
ejpam-1362	10	10	the	the	DET
ejpam-1362	10	11	most	most	ADV
ejpam-1362	10	12	popular	popular	ADJ
ejpam-1362	10	13	methods	method	NOUN
ejpam-1362	10	14	used	use	VERB
ejpam-1362	10	15	for	for	ADP
ejpam-1362	10	16	the	the	DET
ejpam-1362	10	17	prediction	prediction	NOUN
ejpam-1362	10	18	of	of	ADP
ejpam-1362	10	19	the	the	DET
ejpam-1362	10	20	nonparametric	nonparametric	NOUN
ejpam-1362	10	21	regression	regression	NOUN
ejpam-1362	10	22	models	model	NOUN
ejpam-1362	10	23	.	.	PUNCT
ejpam-1362	11	1	the	the	DET
ejpam-1362	11	2	role	role	NOUN
ejpam-1362	11	3	of	of	ADP
ejpam-1362	11	4	this	this	DET
ejpam-1362	11	5	method	method	NOUN
ejpam-1362	11	6	is	be	AUX
ejpam-1362	11	7	to	to	PART
ejpam-1362	11	8	estimate	estimate	VERB
ejpam-1362	11	9	the	the	DET
ejpam-1362	11	10	nonparametric	nonparametric	NOUN
ejpam-1362	11	11	function	function	NOUN
ejpam-1362	11	12	that	that	PRON
ejpam-1362	11	13	minimizes	minimize	VERB
ejpam-1362	11	14	penalized	penalize	VERB
ejpam-1362	11	15	least	least	ADJ
ejpam-1362	11	16	squares	square	NOUN
ejpam-1362	11	17	criterion	criterion	NOUN
ejpam-1362	11	18	.	.	PUNCT
ejpam-1362	12	1	a	a	DET
ejpam-1362	12	2	roughness	roughness	NOUN
ejpam-1362	12	3	penalty	penalty	NOUN
ejpam-1362	12	4	term	term	NOUN
ejpam-1362	12	5	multiplied	multiply	VERB
ejpam-1362	12	6	by	by	ADP
ejpam-1362	12	7	a	a	DET
ejpam-1362	12	8	positive	positive	ADJ
ejpam-1362	12	9	smoothing	smoothing	NOUN
ejpam-1362	12	10	parameter	parameter	NOUN
ejpam-1362	12	11	is	be	AUX
ejpam-1362	12	12	added	add	VERB
ejpam-1362	12	13	to	to	ADP
ejpam-1362	12	14	the	the	DET
ejpam-1362	12	15	residual	residual	ADJ
ejpam-1362	12	16	sum	sum	NOUN
ejpam-1362	12	17	of	of	ADP
ejpam-1362	12	18	squares	square	NOUN
ejpam-1362	12	19	in	in	ADP
ejpam-1362	12	20	smoothing	smooth	VERB
ejpam-1362	12	21	spline	spline	NOUN
ejpam-1362	12	22	regression	regression	NOUN
ejpam-1362	12	23	.	.	PUNCT
ejpam-1362	13	1	in	in	ADP
ejpam-1362	13	2	the	the	DET
ejpam-1362	13	3	light	light	NOUN
ejpam-1362	13	4	of	of	ADP
ejpam-1362	13	5	this	this	DET
ejpam-1362	13	6	approach	approach	NOUN
ejpam-1362	13	7	,	,	PUNCT
ejpam-1362	13	8	the	the	DET
ejpam-1362	13	9	estimation	estimation	NOUN
ejpam-1362	13	10	of	of	ADP
ejpam-1362	13	11	the	the	DET
ejpam-1362	13	12	unknown	unknown	ADJ
ejpam-1362	13	13	function	function	NOUN
ejpam-1362	13	14	depends	depend	VERB
ejpam-1362	13	15	on	on	ADP
ejpam-1362	13	16	smoothing	smooth	VERB
ejpam-1362	13	17	parameter	parameter	PROPN
ejpam-1362	13	18	λ	λ	PROPN
ejpam-1362	13	19	.	.	PUNCT
ejpam-1362	14	1	therefore	therefore	ADV
ejpam-1362	14	2	,	,	PUNCT
ejpam-1362	14	3	the	the	DET
ejpam-1362	14	4	determination	determination	NOUN
ejpam-1362	14	5	of	of	ADP
ejpam-1362	14	6	an	an	DET
ejpam-1362	14	7	optimum	optimum	ADJ
ejpam-1362	14	8	smoothing	smoothing	NOUN
ejpam-1362	14	9	parameter	parameter	NOUN
ejpam-1362	14	10	in	in	ADP
ejpam-1362	14	11	the	the	DET
ejpam-1362	14	12	interval	interval	NOUN
ejpam-1362	14	13	(	(	PUNCT
ejpam-1362	14	14	0,∞	0,∞	NOUN
ejpam-1362	14	15	)	)	PUNCT
ejpam-1362	14	16	was	be	AUX
ejpam-1362	14	17	found	find	VERB
ejpam-1362	14	18	to	to	PART
ejpam-1362	14	19	be	be	AUX
ejpam-1362	14	20	an	an	DET
ejpam-1362	14	21	underlying	underlie	VERB
ejpam-1362	14	22	complication	complication	NOUN
ejpam-1362	14	23	.	.	PUNCT
ejpam-1362	15	1	in	in	ADP
ejpam-1362	15	2	the	the	DET
ejpam-1362	15	3	literature	literature	NOUN
ejpam-1362	15	4	,	,	PUNCT
ejpam-1362	15	5	different	different	ADJ
ejpam-1362	15	6	selection	selection	NOUN
ejpam-1362	15	7	methods	method	NOUN
ejpam-1362	15	8	are	be	AUX
ejpam-1362	15	9	components	component	NOUN
ejpam-1362	15	10	of	of	ADP
ejpam-1362	15	11	various	various	ADJ
ejpam-1362	15	12	studies	study	NOUN
ejpam-1362	15	13	for	for	ADP
ejpam-1362	15	14	an	an	DET
ejpam-1362	15	15	appropriate	appropriate	ADJ
ejpam-1362	15	16	smoothing	smoothing	NOUN
ejpam-1362	15	17	parameter	parameter	NOUN
ejpam-1362	15	18	.	.	PUNCT
ejpam-1362	16	1	indeed	indeed	ADV
ejpam-1362	16	2	,	,	PUNCT
ejpam-1362	16	3	to	to	ADP
ejpam-1362	16	4	a	a	DET
ejpam-1362	16	5	considerable	considerable	ADJ
ejpam-1362	16	6	extent	extent	NOUN
ejpam-1362	16	7	,	,	PUNCT
ejpam-1362	16	8	craven	craven	NOUN
ejpam-1362	16	9	and	and	CCONJ
ejpam-1362	16	10	wahba	wahba	VERB
ejpam-1362	17	1	[	[	X
ejpam-1362	17	2	5	5	NUM
ejpam-1362	17	3	]	]	PUNCT
ejpam-1362	17	4	,	,	PUNCT
ejpam-1362	17	5	hardle	hardle	VERB
ejpam-1362	17	6	[	[	X
ejpam-1362	17	7	8	8	NUM
ejpam-1362	17	8	]	]	PUNCT
ejpam-1362	17	9	,	,	PUNCT
ejpam-1362	17	10	hardle	hardle	ADJ
ejpam-1362	17	11	,	,	PUNCT
ejpam-1362	17	12	hall	hall	NOUN
ejpam-1362	17	13	and	and	CCONJ
ejpam-1362	17	14	marron	marron	PROPN
ejpam-1362	18	1	[	[	X
ejpam-1362	18	2	9	9	NUM
ejpam-1362	18	3	]	]	PUNCT
ejpam-1362	18	4	,	,	PUNCT
ejpam-1362	18	5	wahba	wahba	ADJ
ejpam-1362	19	1	[	[	X
ejpam-1362	19	2	26	26	NUM
ejpam-1362	19	3	]	]	PUNCT
ejpam-1362	19	4	,	,	PUNCT
ejpam-1362	19	5	hurvich	hurvich	PROPN
ejpam-1362	19	6	,	,	PUNCT
ejpam-1362	19	7	et	et	PROPN
ejpam-1362	19	8	al	al	PROPN
ejpam-1362	19	9	.	.	PUNCT
ejpam-1362	20	1	[	[	X
ejpam-1362	20	2	11	11	NUM
ejpam-1362	20	3	]	]	PUNCT
ejpam-1362	20	4	,	,	PUNCT
ejpam-1362	20	5	eubank	eubank	PROPN
ejpam-1362	21	1	[	[	X
ejpam-1362	21	2	6	6	NUM
ejpam-1362	21	3	]	]	PUNCT
ejpam-1362	21	4	,	,	PUNCT
ejpam-1362	21	5	lee	lee	PROPN
ejpam-1362	21	6	and	and	CCONJ
ejpam-1362	21	7	solo	solo	ADV
ejpam-1362	22	1	[	[	X
ejpam-1362	22	2	17	17	NUM
ejpam-1362	22	3	]	]	PUNCT
ejpam-1362	22	4	,	,	PUNCT
ejpam-1362	22	5	hastie	hastie	PROPN
ejpam-1362	22	6	and	and	CCONJ
ejpam-1362	22	7	tibshirani	tibshirani	VERB
ejpam-1362	23	1	[	[	X
ejpam-1362	23	2	10	10	NUM
ejpam-1362	23	3	]	]	PUNCT
ejpam-1362	23	4	,	,	PUNCT
ejpam-1362	23	5	schimek	schimek	NOUN
ejpam-1362	24	1	[	[	X
ejpam-1362	24	2	22	22	NUM
ejpam-1362	24	3	]	]	PUNCT
ejpam-1362	24	4	,	,	PUNCT
ejpam-1362	24	5	cantoni	cantoni	ADJ
ejpam-1362	24	6	and	and	CCONJ
ejpam-1362	24	7	ronchetti	ronchetti	VERB
ejpam-1362	25	1	[	[	X
ejpam-1362	25	2	4	4	NUM
ejpam-1362	25	3	]	]	PUNCT
ejpam-1362	25	4	,	,	PUNCT
ejpam-1362	25	5	ruppert	ruppert	NOUN
ejpam-1362	25	6	,	,	PUNCT
ejpam-1362	25	7	wand	wand	NOUN
ejpam-1362	25	8	and	and	CCONJ
ejpam-1362	25	9	carroll	carroll	NOUN
ejpam-1362	26	1	[	[	X
ejpam-1362	26	2	21	21	NUM
ejpam-1362	26	3	]	]	PUNCT
ejpam-1362	26	4	,	,	PUNCT
ejpam-1362	26	5	lee	lee	PROPN
ejpam-1362	27	1	[	[	X
ejpam-1362	27	2	15	15	NUM
ejpam-1362	27	3	,	,	PUNCT
ejpam-1362	27	4	16	16	NUM
ejpam-1362	27	5	]	]	PUNCT
ejpam-1362	27	6	,	,	PUNCT
ejpam-1362	27	7	and	and	CCONJ
ejpam-1362	27	8	kou	kou	PROPN
ejpam-1362	28	1	[	[	X
ejpam-1362	28	2	12	12	NUM
ejpam-1362	28	3	]	]	PUNCT
ejpam-1362	28	4	supplement	supplement	NOUN
ejpam-1362	28	5	on	on	ADP
ejpam-1362	28	6	the	the	DET
ejpam-1362	28	7	selection	selection	NOUN
ejpam-1362	28	8	of	of	ADP
ejpam-1362	28	9	the	the	DET
ejpam-1362	28	10	smoothing	smoothing	NOUN
ejpam-1362	28	11	parameter	parameter	NOUN
ejpam-1362	28	12	.	.	PUNCT
ejpam-1362	29	1	in	in	ADP
ejpam-1362	29	2	this	this	DET
ejpam-1362	29	3	study	study	NOUN
ejpam-1362	29	4	,	,	PUNCT
ejpam-1362	29	5	the	the	DET
ejpam-1362	29	6	empirical	empirical	ADJ
ejpam-1362	29	7	performances	performance	NOUN
ejpam-1362	29	8	of	of	ADP
ejpam-1362	29	9	the	the	DET
ejpam-1362	29	10	selection	selection	NOUN
ejpam-1362	29	11	methods	method	NOUN
ejpam-1362	29	12	used	use	VERB
ejpam-1362	29	13	in	in	ADP
ejpam-1362	29	14	selection	selection	NOUN
ejpam-1362	29	15	of	of	ADP
ejpam-1362	29	16	the	the	DET
ejpam-1362	29	17	smoothing	smooth	VERB
ejpam-1362	29	18	parameter	parameter	NOUN
ejpam-1362	29	19	are	be	AUX
ejpam-1362	29	20	compared	compare	VERB
ejpam-1362	29	21	.	.	PUNCT
ejpam-1362	30	1	selection	selection	NOUN
ejpam-1362	30	2	methods	method	NOUN
ejpam-1362	30	3	used	use	VERB
ejpam-1362	30	4	in	in	ADP
ejpam-1362	30	5	our	our	PRON
ejpam-1362	30	6	simulation	simulation	NOUN
ejpam-1362	30	7	study	study	NOUN
ejpam-1362	30	8	are	be	AUX
ejpam-1362	30	9	an	an	DET
ejpam-1362	30	10	∗corresponding	∗corresponde	VERB
ejpam-1362	30	11	author	author	NOUN
ejpam-1362	30	12	.	.	PUNCT
ejpam-1362	31	1	email	email	NOUN
ejpam-1362	31	2	addresses	address	NOUN
ejpam-1362	31	3	:	:	PUNCT
ejpam-1362	31	4	duaydin@mu.edu.tr	duaydin@mu.edu.tr	PROPN
ejpam-1362	31	5	(	(	PUNCT
ejpam-1362	31	6	d.	d.	NOUN
ejpam-1362	31	7	aydin	aydin	PROPN
ejpam-1362	31	8	)	)	PUNCT
ejpam-1362	31	9	http://www.ejpam.com	http://www.ejpam.com	X
ejpam-1362	32	1	222	222	NUM
ejpam-1362	32	2	c	c	X
ejpam-1362	32	3	©	©	PROPN
ejpam-1362	32	4	2013	2013	NUM
ejpam-1362	32	5	ejpam	ejpam	NOUN
ejpam-1362	32	6	all	all	DET
ejpam-1362	32	7	rights	right	NOUN
ejpam-1362	32	8	reserved	reserve	VERB
ejpam-1362	32	9	.	.	PUNCT
ejpam-1362	33	1	d.	d.	PROPN
ejpam-1362	33	2	aydin	aydin	PROPN
ejpam-1362	33	3	,	,	PUNCT
ejpam-1362	33	4	m.	m.	NOUN
ejpam-1362	33	5	memmedli	memmedli	PROPN
ejpam-1362	33	6	,	,	PUNCT
ejpam-1362	33	7	r.	r.	PROPN
ejpam-1362	33	8	omay	omay	PROPN
ejpam-1362	33	9	/	/	SYM
ejpam-1362	33	10	eur	eur	PROPN
ejpam-1362	33	11	.	.	PUNCT
ejpam-1362	34	1	j.	j.	PROPN
ejpam-1362	34	2	pure	pure	PROPN
ejpam-1362	34	3	appl	appl	PROPN
ejpam-1362	34	4	.	.	PROPN
ejpam-1362	34	5	math	math	PROPN
ejpam-1362	34	6	,	,	PUNCT
ejpam-1362	34	7	6	6	NUM
ejpam-1362	34	8	(	(	PUNCT
ejpam-1362	34	9	2013	2013	NUM
ejpam-1362	34	10	)	)	PUNCT
ejpam-1362	34	11	,	,	PUNCT
ejpam-1362	34	12	222	222	NUM
ejpam-1362	34	13	-	-	SYM
ejpam-1362	34	14	238	238	NUM
ejpam-1362	34	15	223	223	NUM
ejpam-1362	34	16	improved	improved	ADJ
ejpam-1362	34	17	version	version	NOUN
ejpam-1362	34	18	of	of	ADP
ejpam-1362	34	19	akaike	akaike	ADJ
ejpam-1362	34	20	information	information	NOUN
ejpam-1362	34	21	criterion	criterion	NOUN
ejpam-1362	34	22	(	(	PUNCT
ejpam-1362	34	23	aicc	aicc	NOUN
ejpam-1362	34	24	)	)	PUNCT
ejpam-1362	34	25	,	,	PUNCT
ejpam-1362	34	26	robustified	robustifie	VERB
ejpam-1362	34	27	cross	cross	NOUN
ejpam-1362	34	28	-	-	ADJ
ejpam-1362	34	29	validation	validation	ADJ
ejpam-1362	34	30	(	(	PUNCT
ejpam-1362	34	31	rcv	rcv	PROPN
ejpam-1362	34	32	)	)	PUNCT
ejpam-1362	34	33	,	,	PUNCT
ejpam-1362	34	34	average	average	ADJ
ejpam-1362	34	35	predictive	predictive	ADJ
ejpam-1362	34	36	square	square	ADJ
ejpam-1362	34	37	error	error	NOUN
ejpam-1362	34	38	(	(	PUNCT
ejpam-1362	34	39	pse	pse	NOUN
ejpam-1362	34	40	)	)	PUNCT
ejpam-1362	34	41	,	,	PUNCT
ejpam-1362	34	42	parallel	parallel	NOUN
ejpam-1362	34	43	of	of	ADP
ejpam-1362	34	44	akaike	akaike	ADJ
ejpam-1362	34	45	’s	’s	PART
ejpam-1362	34	46	information	information	NOUN
ejpam-1362	34	47	criterion	criterion	NOUN
ejpam-1362	34	48	(	(	PUNCT
ejpam-1362	34	49	gfaic	gfaic	ADJ
ejpam-1362	34	50	)	)	PUNCT
ejpam-1362	34	51	,	,	PUNCT
ejpam-1362	34	52	generalized	generalize	VERB
ejpam-1362	34	53	cross	cross	NOUN
ejpam-1362	34	54	-	-	ADJ
ejpam-1362	34	55	validation	validation	ADJ
ejpam-1362	34	56	(	(	PUNCT
ejpam-1362	34	57	gcv	gcv	PROPN
ejpam-1362	34	58	)	)	PUNCT
ejpam-1362	34	59	,	,	PUNCT
ejpam-1362	34	60	cross	cross	NOUN
ejpam-1362	34	61	-	-	ADJ
ejpam-1362	34	62	validation	validation	ADJ
ejpam-1362	34	63	(	(	PUNCT
ejpam-1362	34	64	cv	cv	NOUN
ejpam-1362	34	65	)	)	PUNCT
ejpam-1362	34	66	,	,	PUNCT
ejpam-1362	34	67	mallows	mallow	NOUN
ejpam-1362	34	68	’	'	PUNCT
ejpam-1362	34	69	cp	cp	NOUN
ejpam-1362	34	70	criterion	criterion	NOUN
ejpam-1362	34	71	,	,	PUNCT
ejpam-1362	34	72	risk	risk	NOUN
ejpam-1362	34	73	estimation	estimation	NOUN
ejpam-1362	34	74	using	use	VERB
ejpam-1362	34	75	classical	classical	ADJ
ejpam-1362	34	76	pilots	pilot	NOUN
ejpam-1362	34	77	(	(	PUNCT
ejpam-1362	34	78	rcp	rcp	PROPN
ejpam-1362	34	79	)	)	PUNCT
ejpam-1362	34	80	and	and	CCONJ
ejpam-1362	34	81	local	local	ADJ
ejpam-1362	34	82	risk	risk	NOUN
ejpam-1362	34	83	estimation	estimation	NOUN
ejpam-1362	34	84	(	(	PUNCT
ejpam-1362	34	85	lrs	lrs	PROPN
ejpam-1362	34	86	)	)	PUNCT
ejpam-1362	34	87	.	.	PUNCT
ejpam-1362	35	1	a	a	DET
ejpam-1362	35	2	simulation	simulation	NOUN
ejpam-1362	35	3	study	study	NOUN
ejpam-1362	35	4	was	be	AUX
ejpam-1362	35	5	conducted	conduct	VERB
ejpam-1362	35	6	to	to	PART
ejpam-1362	35	7	find	find	VERB
ejpam-1362	35	8	out	out	ADP
ejpam-1362	35	9	which	which	DET
ejpam-1362	35	10	selection	selection	NOUN
ejpam-1362	35	11	methods	method	NOUN
ejpam-1362	35	12	are	be	AUX
ejpam-1362	35	13	the	the	DET
ejpam-1362	35	14	best	good	ADJ
ejpam-1362	35	15	in	in	ADP
ejpam-1362	35	16	smoothing	smooth	VERB
ejpam-1362	35	17	parameter	parameter	NOUN
ejpam-1362	35	18	selection	selection	NOUN
ejpam-1362	35	19	.	.	PUNCT
ejpam-1362	36	1	to	to	PART
ejpam-1362	36	2	throw	throw	VERB
ejpam-1362	36	3	light	light	NOUN
ejpam-1362	36	4	on	on	ADP
ejpam-1362	36	5	this	this	DET
ejpam-1362	36	6	issue	issue	NOUN
ejpam-1362	36	7	,	,	PUNCT
ejpam-1362	36	8	the	the	DET
ejpam-1362	36	9	samples	sample	NOUN
ejpam-1362	36	10	differing	differ	VERB
ejpam-1362	36	11	in	in	ADP
ejpam-1362	36	12	small	small	ADJ
ejpam-1362	36	13	and	and	CCONJ
ejpam-1362	36	14	large	large	ADJ
ejpam-1362	36	15	sizes	size	NOUN
ejpam-1362	36	16	are	be	AUX
ejpam-1362	36	17	secured	secure	VERB
ejpam-1362	36	18	by	by	ADP
ejpam-1362	36	19	means	mean	NOUN
ejpam-1362	36	20	of	of	ADP
ejpam-1362	36	21	the	the	DET
ejpam-1362	36	22	above	above	ADJ
ejpam-1362	36	23	mentioned	mention	VERB
ejpam-1362	36	24	simulation	simulation	NOUN
ejpam-1362	36	25	,	,	PUNCT
ejpam-1362	36	26	and	and	CCONJ
ejpam-1362	36	27	moreover	moreover	ADV
ejpam-1362	36	28	,	,	PUNCT
ejpam-1362	36	29	nine	nine	NUM
ejpam-1362	36	30	selection	selection	NOUN
ejpam-1362	36	31	methods	method	NOUN
ejpam-1362	36	32	are	be	AUX
ejpam-1362	36	33	evaluated	evaluate	VERB
ejpam-1362	36	34	.	.	PUNCT
ejpam-1362	37	1	this	this	DET
ejpam-1362	37	2	paper	paper	NOUN
ejpam-1362	37	3	is	be	AUX
ejpam-1362	37	4	mainly	mainly	ADV
ejpam-1362	37	5	concerned	concern	VERB
ejpam-1362	37	6	with	with	ADP
ejpam-1362	37	7	the	the	DET
ejpam-1362	37	8	selection	selection	NOUN
ejpam-1362	37	9	of	of	ADP
ejpam-1362	37	10	smoothing	smooth	VERB
ejpam-1362	37	11	parameter	parameter	NOUN
ejpam-1362	37	12	(	(	PUNCT
ejpam-1362	37	13	or	or	CCONJ
ejpam-1362	37	14	penalty	penalty	NOUN
ejpam-1362	37	15	parameter	parameter	NOUN
ejpam-1362	37	16	)	)	PUNCT
ejpam-1362	37	17	through	through	ADP
ejpam-1362	37	18	monte	monte	PROPN
ejpam-1362	37	19	carlo	carlo	PROPN
ejpam-1362	37	20	simulation	simulation	PROPN
ejpam-1362	37	21	study	study	PROPN
ejpam-1362	37	22	.	.	PUNCT
ejpam-1362	38	1	smoothing	smooth	VERB
ejpam-1362	38	2	parameters	parameter	NOUN
ejpam-1362	38	3	play	play	VERB
ejpam-1362	38	4	a	a	DET
ejpam-1362	38	5	crucial	crucial	ADJ
ejpam-1362	38	6	role	role	NOUN
ejpam-1362	38	7	in	in	ADP
ejpam-1362	38	8	this	this	DET
ejpam-1362	38	9	procedure	procedure	NOUN
ejpam-1362	38	10	.	.	PUNCT
ejpam-1362	39	1	these	these	DET
ejpam-1362	39	2	parameters	parameter	NOUN
ejpam-1362	39	3	are	be	AUX
ejpam-1362	39	4	said	say	VERB
ejpam-1362	39	5	to	to	PART
ejpam-1362	39	6	control	control	VERB
ejpam-1362	39	7	the	the	DET
ejpam-1362	39	8	trade	trade	NOUN
ejpam-1362	39	9	off	off	ADP
ejpam-1362	39	10	between	between	ADP
ejpam-1362	39	11	fidelity	fidelity	NOUN
ejpam-1362	39	12	to	to	ADP
ejpam-1362	39	13	the	the	DET
ejpam-1362	39	14	data	datum	NOUN
ejpam-1362	39	15	and	and	CCONJ
ejpam-1362	39	16	smoothness	smoothness	NOUN
ejpam-1362	39	17	:	:	PUNCT
ejpam-1362	39	18	too	too	ADV
ejpam-1362	39	19	low	low	ADJ
ejpam-1362	39	20	values	value	NOUN
ejpam-1362	39	21	of	of	ADP
ejpam-1362	39	22	smoothing	smooth	VERB
ejpam-1362	39	23	parameter	parameter	NOUN
ejpam-1362	39	24	overfit	overfit	NOUN
ejpam-1362	39	25	the	the	DET
ejpam-1362	39	26	data	datum	NOUN
ejpam-1362	39	27	,	,	PUNCT
ejpam-1362	39	28	whereas	whereas	SCONJ
ejpam-1362	39	29	too	too	ADV
ejpam-1362	39	30	high	high	ADJ
ejpam-1362	39	31	values	value	NOUN
ejpam-1362	39	32	oversmooth	oversmooth	ADJ
ejpam-1362	39	33	.	.	PUNCT
ejpam-1362	40	1	krivobokova	krivobokova	PROPN
ejpam-1362	40	2	and	and	CCONJ
ejpam-1362	40	3	kauermann	kauermann	PROPN
ejpam-1362	41	1	[	[	X
ejpam-1362	41	2	14	14	NUM
ejpam-1362	41	3	]	]	PUNCT
ejpam-1362	41	4	showed	show	VERB
ejpam-1362	41	5	that	that	SCONJ
ejpam-1362	41	6	using	use	VERB
ejpam-1362	41	7	the	the	DET
ejpam-1362	41	8	reml	reml	NOUN
ejpam-1362	41	9	to	to	PART
ejpam-1362	41	10	estimate	estimate	VERB
ejpam-1362	41	11	smoothing	smooth	VERB
ejpam-1362	41	12	parameter	parameter	NOUN
ejpam-1362	41	13	outperforms	outperform	NOUN
ejpam-1362	41	14	other	other	ADJ
ejpam-1362	41	15	methods	method	NOUN
ejpam-1362	41	16	such	such	ADJ
ejpam-1362	41	17	as	as	ADP
ejpam-1362	41	18	(	(	PUNCT
ejpam-1362	41	19	generalized	generalized	ADJ
ejpam-1362	41	20	)	)	PUNCT
ejpam-1362	41	21	cv	cv	ADJ
ejpam-1362	41	22	or	or	CCONJ
ejpam-1362	41	23	akaike	akaike	ADJ
ejpam-1362	41	24	criterion	criterion	NOUN
ejpam-1362	41	25	especially	especially	ADV
ejpam-1362	41	26	when	when	SCONJ
ejpam-1362	41	27	the	the	DET
ejpam-1362	41	28	error	error	NOUN
ejpam-1362	41	29	correlation	correlation	NOUN
ejpam-1362	41	30	structure	structure	NOUN
ejpam-1362	41	31	is	be	AUX
ejpam-1362	41	32	misspecified	misspecifie	VERB
ejpam-1362	41	33	.	.	PUNCT
ejpam-1362	42	1	krivobokova	krivobokova	PROPN
ejpam-1362	42	2	et	et	PROPN
ejpam-1362	42	3	al	al	PROPN
ejpam-1362	42	4	.	.	PUNCT
ejpam-1362	43	1	[	[	X
ejpam-1362	43	2	13	13	NUM
ejpam-1362	43	3	]	]	PUNCT
ejpam-1362	43	4	formulated	formulate	VERB
ejpam-1362	43	5	a	a	DET
ejpam-1362	43	6	hierarchical	hierarchical	ADJ
ejpam-1362	43	7	mixed	mixed	ADJ
ejpam-1362	43	8	model	model	NOUN
ejpam-1362	43	9	to	to	PART
ejpam-1362	43	10	estimate	estimate	VERB
ejpam-1362	43	11	local	local	ADJ
ejpam-1362	43	12	smoothing	smoothing	NOUN
ejpam-1362	43	13	parameter	parameter	NOUN
ejpam-1362	43	14	to	to	PART
ejpam-1362	43	15	achieve	achieve	VERB
ejpam-1362	43	16	adaptive	adaptive	ADJ
ejpam-1362	43	17	penalized	penalize	VERB
ejpam-1362	43	18	spline	spline	NOUN
ejpam-1362	43	19	smoothing	smoothing	NOUN
ejpam-1362	43	20	.	.	PUNCT
ejpam-1362	44	1	yanrong	yanrong	PROPN
ejpam-1362	44	2	cao	cao	PROPN
ejpam-1362	44	3	et	et	PROPN
ejpam-1362	44	4	al	al	PROPN
ejpam-1362	44	5	.	.	PUNCT
ejpam-1362	45	1	[	[	X
ejpam-1362	45	2	27	27	NUM
ejpam-1362	45	3	]	]	PUNCT
ejpam-1362	45	4	discussed	discuss	VERB
ejpam-1362	45	5	different	different	ADJ
ejpam-1362	45	6	methods	method	NOUN
ejpam-1362	45	7	of	of	ADP
ejpam-1362	45	8	choosing	choose	VERB
ejpam-1362	45	9	the	the	DET
ejpam-1362	45	10	important	important	ADJ
ejpam-1362	45	11	smoothing	smoothing	NOUN
ejpam-1362	45	12	parameter	parameter	NOUN
ejpam-1362	45	13	and	and	CCONJ
ejpam-1362	45	14	recommend	recommend	VERB
ejpam-1362	45	15	gcv	gcv	PROPN
ejpam-1362	45	16	as	as	ADP
ejpam-1362	45	17	the	the	DET
ejpam-1362	45	18	choice	choice	NOUN
ejpam-1362	45	19	for	for	ADP
ejpam-1362	45	20	penalized	penalize	VERB
ejpam-1362	45	21	spline	spline	NOUN
ejpam-1362	45	22	smoothing	smoothing	NOUN
ejpam-1362	45	23	parameter	parameter	NOUN
ejpam-1362	45	24	selection	selection	NOUN
ejpam-1362	45	25	for	for	ADP
ejpam-1362	45	26	both	both	DET
ejpam-1362	45	27	computational	computational	ADJ
ejpam-1362	45	28	efficiency	efficiency	NOUN
ejpam-1362	45	29	and	and	CCONJ
ejpam-1362	45	30	accuracy	accuracy	NOUN
ejpam-1362	45	31	of	of	ADP
ejpam-1362	45	32	the	the	DET
ejpam-1362	45	33	functional	functional	ADJ
ejpam-1362	45	34	coefficient	coefficient	NOUN
ejpam-1362	45	35	regression	regression	NOUN
ejpam-1362	45	36	models	model	NOUN
ejpam-1362	45	37	.	.	PUNCT
ejpam-1362	46	1	aydin	aydin	NOUN
ejpam-1362	46	2	and	and	CCONJ
ejpam-1362	46	3	memmedli	memmedli	NOUN
ejpam-1362	47	1	[	[	X
ejpam-1362	47	2	3	3	NUM
ejpam-1362	47	3	]	]	PUNCT
ejpam-1362	47	4	recommended	recommend	VERB
ejpam-1362	47	5	gcv	gcv	NOUN
ejpam-1362	47	6	and	and	CCONJ
ejpam-1362	47	7	reml	reml	NOUN
ejpam-1362	47	8	as	as	ADP
ejpam-1362	47	9	being	be	AUX
ejpam-1362	47	10	good	good	ADJ
ejpam-1362	47	11	smoothing	smoothing	NOUN
ejpam-1362	47	12	parameter	parameter	NOUN
ejpam-1362	47	13	selection	selection	NOUN
ejpam-1362	47	14	criteria	criterion	NOUN
ejpam-1362	47	15	for	for	ADP
ejpam-1362	47	16	small	small	ADJ
ejpam-1362	47	17	and	and	CCONJ
ejpam-1362	47	18	medium	medium	ADJ
ejpam-1362	47	19	sized	sized	ADJ
ejpam-1362	47	20	samples	sample	NOUN
ejpam-1362	47	21	.	.	PUNCT
ejpam-1362	48	1	nonparametric	nonparametric	NOUN
ejpam-1362	48	2	regression	regression	NOUN
ejpam-1362	48	3	and	and	CCONJ
ejpam-1362	48	4	its	its	PRON
ejpam-1362	48	5	prediction	prediction	NOUN
ejpam-1362	48	6	are	be	AUX
ejpam-1362	48	7	discussed	discuss	VERB
ejpam-1362	48	8	in	in	ADP
ejpam-1362	48	9	section	section	NOUN
ejpam-1362	48	10	2	2	NUM
ejpam-1362	48	11	.	.	PUNCT
ejpam-1362	48	12	section	section	NOUN
ejpam-1362	48	13	3	3	NUM
ejpam-1362	48	14	reviews	review	NOUN
ejpam-1362	48	15	nine	nine	NUM
ejpam-1362	48	16	different	different	ADJ
ejpam-1362	48	17	smoothing	smoothing	NOUN
ejpam-1362	48	18	parameter	parameter	NOUN
ejpam-1362	48	19	selection	selection	NOUN
ejpam-1362	48	20	methods	method	NOUN
ejpam-1362	48	21	.	.	PUNCT
ejpam-1362	49	1	section	section	NOUN
ejpam-1362	49	2	4	4	NUM
ejpam-1362	49	3	compares	compare	VERB
ejpam-1362	49	4	these	these	DET
ejpam-1362	49	5	methods	method	NOUN
ejpam-1362	49	6	via	via	ADP
ejpam-1362	49	7	a	a	DET
ejpam-1362	49	8	simulation	simulation	NOUN
ejpam-1362	49	9	study	study	NOUN
ejpam-1362	49	10	,	,	PUNCT
ejpam-1362	49	11	and	and	CCONJ
ejpam-1362	49	12	finally	finally	ADV
ejpam-1362	49	13	,	,	PUNCT
ejpam-1362	49	14	the	the	DET
ejpam-1362	49	15	conclusion	conclusion	NOUN
ejpam-1362	49	16	and	and	CCONJ
ejpam-1362	49	17	recommendations	recommendation	NOUN
ejpam-1362	49	18	are	be	AUX
ejpam-1362	49	19	presented	present	VERB
ejpam-1362	49	20	in	in	ADP
ejpam-1362	49	21	section	section	NOUN
ejpam-1362	49	22	5	5	NUM
ejpam-1362	49	23	.	.	SYM
ejpam-1362	49	24	2	2	NUM
ejpam-1362	49	25	.	.	NOUN
ejpam-1362	49	26	nonparametric	nonparametric	NOUN
ejpam-1362	49	27	regression	regression	NOUN
ejpam-1362	49	28	model	model	NOUN
ejpam-1362	49	29	and	and	CCONJ
ejpam-1362	49	30	its	its	PRON
ejpam-1362	49	31	prediction	prediction	NOUN
ejpam-1362	49	32	nonparametric	nonparametric	NOUN
ejpam-1362	49	33	regression	regression	NOUN
ejpam-1362	49	34	model	model	NOUN
ejpam-1362	49	35	including	include	VERB
ejpam-1362	49	36	a	a	DET
ejpam-1362	49	37	predictor	predictor	NOUN
ejpam-1362	49	38	(	(	PUNCT
ejpam-1362	49	39	independent	independent	ADJ
ejpam-1362	49	40	)	)	PUNCT
ejpam-1362	49	41	variable	variable	NOUN
ejpam-1362	49	42	and	and	CCONJ
ejpam-1362	49	43	a	a	DET
ejpam-1362	49	44	response	response	NOUN
ejpam-1362	49	45	variable	variable	NOUN
ejpam-1362	49	46	is	be	AUX
ejpam-1362	49	47	defined	define	VERB
ejpam-1362	49	48	as	as	ADP
ejpam-1362	49	49	yi	yi	PROPN
ejpam-1362	49	50	=	=	SYM
ejpam-1362	49	51	f	f	PROPN
ejpam-1362	49	52	(	(	PUNCT
ejpam-1362	49	53	x	x	PROPN
ejpam-1362	49	54	i	i	NOUN
ejpam-1362	49	55	)	)	PUNCT
ejpam-1362	50	1	+	+	CCONJ
ejpam-1362	50	2	εi	εi	INTJ
ejpam-1362	50	3	,	,	PUNCT
ejpam-1362	50	4	a	a	DET
ejpam-1362	50	5	<	<	X
ejpam-1362	50	6	x1	x1	X
ejpam-1362	50	7	<	<	X
ejpam-1362	50	8	...	...	PUNCT
ejpam-1362	50	9	<	<	X
ejpam-1362	50	10	xn	xn	PUNCT
ejpam-1362	51	1	<	<	X
ejpam-1362	51	2	b	b	X
ejpam-1362	51	3	(	(	PUNCT
ejpam-1362	51	4	1	1	NUM
ejpam-1362	51	5	)	)	PUNCT
ejpam-1362	51	6	where	where	SCONJ
ejpam-1362	51	7	f	f	PROPN
ejpam-1362	51	8	∈	∈	PROPN
ejpam-1362	51	9	c2[a	c2[a	NOUN
ejpam-1362	51	10	,	,	PUNCT
ejpam-1362	51	11	b	b	X
ejpam-1362	51	12	]	]	X
ejpam-1362	51	13	is	be	AUX
ejpam-1362	51	14	an	an	DET
ejpam-1362	51	15	unknown	unknown	ADJ
ejpam-1362	51	16	smooth	smooth	ADJ
ejpam-1362	51	17	function	function	NOUN
ejpam-1362	51	18	,	,	PUNCT
ejpam-1362	51	19	(	(	PUNCT
ejpam-1362	51	20	yi	yi	NOUN
ejpam-1362	51	21	)	)	PUNCT
ejpam-1362	51	22	n	n	CCONJ
ejpam-1362	51	23	i=1	i=1	PROPN
ejpam-1362	51	24	are	be	AUX
ejpam-1362	51	25	observation	observation	NOUN
ejpam-1362	51	26	values	value	NOUN
ejpam-1362	51	27	of	of	ADP
ejpam-1362	51	28	the	the	DET
ejpam-1362	51	29	response	response	NOUN
ejpam-1362	51	30	variable	variable	ADJ
ejpam-1362	51	31	y	y	PROPN
ejpam-1362	51	32	,	,	PUNCT
ejpam-1362	51	33	(	(	PUNCT
ejpam-1362	51	34	x	x	X
ejpam-1362	51	35	i	i	NOUN
ejpam-1362	51	36	)	)	PUNCT
ejpam-1362	51	37	n	n	CCONJ
ejpam-1362	51	38	i=1	i=1	PROPN
ejpam-1362	51	39	are	be	AUX
ejpam-1362	51	40	observation	observation	NOUN
ejpam-1362	51	41	values	value	NOUN
ejpam-1362	51	42	of	of	ADP
ejpam-1362	51	43	the	the	DET
ejpam-1362	51	44	predictor	predictor	NOUN
ejpam-1362	51	45	variable	variable	NOUN
ejpam-1362	51	46	x	x	PUNCT
ejpam-1362	51	47	and	and	CCONJ
ejpam-1362	51	48	(	(	PUNCT
ejpam-1362	51	49	εi	εi	PROPN
ejpam-1362	51	50	)	)	PUNCT
ejpam-1362	52	1	n	n	CCONJ
ejpam-1362	52	2	i=1	i=1	PROPN
ejpam-1362	52	3	are	be	AUX
ejpam-1362	52	4	normal	normal	ADJ
ejpam-1362	52	5	distributed	distribute	VERB
ejpam-1362	52	6	random	random	ADJ
ejpam-1362	52	7	errors	error	NOUN
ejpam-1362	52	8	with	with	ADP
ejpam-1362	52	9	zero	zero	NUM
ejpam-1362	52	10	mean	mean	ADJ
ejpam-1362	52	11	and	and	CCONJ
ejpam-1362	52	12	common	common	ADJ
ejpam-1362	52	13	variance	variance	NOUN
ejpam-1362	52	14	σ2	σ2	PROPN
ejpam-1362	52	15	(	(	PUNCT
ejpam-1362	52	16	εi˜n(0,σ2	εi˜n(0,σ2	NOUN
ejpam-1362	52	17	)	)	PUNCT
ejpam-1362	52	18	)	)	PUNCT
ejpam-1362	52	19	.	.	PUNCT
ejpam-1362	53	1	the	the	DET
ejpam-1362	53	2	basic	basic	ADJ
ejpam-1362	53	3	aim	aim	NOUN
ejpam-1362	53	4	of	of	ADP
ejpam-1362	53	5	the	the	DET
ejpam-1362	53	6	nonparametric	nonparametric	NOUN
ejpam-1362	53	7	regression	regression	NOUN
ejpam-1362	53	8	is	be	AUX
ejpam-1362	53	9	to	to	PART
ejpam-1362	53	10	estimate	estimate	VERB
ejpam-1362	53	11	unknown	unknown	ADJ
ejpam-1362	53	12	function	function	NOUN
ejpam-1362	53	13	f	f	PROPN
ejpam-1362	53	14	∈	∈	PROPN
ejpam-1362	53	15	c2[a	c2[a	NOUN
ejpam-1362	53	16	,	,	PUNCT
ejpam-1362	53	17	b	b	NOUN
ejpam-1362	53	18	]	]	X
ejpam-1362	53	19	(	(	PUNCT
ejpam-1362	53	20	the	the	DET
ejpam-1362	53	21	class	class	NOUN
ejpam-1362	53	22	of	of	ADP
ejpam-1362	53	23	all	all	DET
ejpam-1362	53	24	functions	function	NOUN
ejpam-1362	53	25	f	f	PROPN
ejpam-1362	53	26	with	with	ADP
ejpam-1362	53	27	continuous	continuous	ADJ
ejpam-1362	53	28	first	first	ADJ
ejpam-1362	53	29	and	and	CCONJ
ejpam-1362	53	30	second	second	ADJ
ejpam-1362	53	31	derivatives	derivative	NOUN
ejpam-1362	53	32	)	)	PUNCT
ejpam-1362	53	33	in	in	ADP
ejpam-1362	53	34	model	model	NOUN
ejpam-1362	53	35	(	(	PUNCT
ejpam-1362	53	36	1	1	NUM
ejpam-1362	53	37	)	)	PUNCT
ejpam-1362	53	38	.	.	PUNCT
ejpam-1362	54	1	smoothing	smooth	VERB
ejpam-1362	54	2	spline	spline	NOUN
ejpam-1362	54	3	estimate	estimate	NOUN
ejpam-1362	54	4	of	of	ADP
ejpam-1362	54	5	the	the	DET
ejpam-1362	54	6	f	f	PROPN
ejpam-1362	54	7	function	function	NOUN
ejpam-1362	54	8	appears	appear	VERB
ejpam-1362	54	9	as	as	ADP
ejpam-1362	54	10	a	a	DET
ejpam-1362	54	11	solution	solution	NOUN
ejpam-1362	54	12	to	to	ADP
ejpam-1362	54	13	the	the	DET
ejpam-1362	54	14	following	follow	VERB
ejpam-1362	54	15	minimization	minimization	NOUN
ejpam-1362	54	16	problem	problem	NOUN
ejpam-1362	54	17	:	:	PUNCT
ejpam-1362	54	18	find	find	VERB
ejpam-1362	54	19	f̂	f̂	NUM
ejpam-1362	54	20	∈	∈	PROPN
ejpam-1362	54	21	c2[a	c2[a	NOUN
ejpam-1362	54	22	,	,	PUNCT
ejpam-1362	54	23	b	b	X
ejpam-1362	54	24	]	]	X
ejpam-1362	54	25	that	that	PRON
ejpam-1362	54	26	minimizes	minimize	VERB
ejpam-1362	54	27	the	the	DET
ejpam-1362	54	28	penalized	penalize	VERB
ejpam-1362	54	29	residual	residual	ADJ
ejpam-1362	54	30	sum	sum	NOUN
ejpam-1362	54	31	of	of	ADP
ejpam-1362	54	32	squares	square	NOUN
ejpam-1362	54	33	s	s	PROPN
ejpam-1362	54	34	(	(	PUNCT
ejpam-1362	54	35	f	f	NOUN
ejpam-1362	54	36	)	)	PUNCT
ejpam-1362	54	37	=	=	SYM
ejpam-1362	55	1	n	n	CCONJ
ejpam-1362	55	2	∑	∑	ADP
ejpam-1362	55	3	i=1	i=1	PROPN
ejpam-1362	55	4	�	�	PROPN
ejpam-1362	55	5	yi	yi	PROPN
ejpam-1362	56	1	−	−	PROPN
ejpam-1362	56	2	f	f	PROPN
ejpam-1362	56	3	(	(	PUNCT
ejpam-1362	56	4	x	x	PROPN
ejpam-1362	56	5	i	i	NOUN
ejpam-1362	56	6	)	)	PUNCT
ejpam-1362	56	7	2	2	NUM
ejpam-1362	57	1	+	+	PROPN
ejpam-1362	57	2	λ	λ	X
ejpam-1362	57	3	b	b	X
ejpam-1362	57	4	∫	∫	PROPN
ejpam-1362	57	5	a	a	DET
ejpam-1362	57	6	�	�	PROPN
ejpam-1362	57	7	f	f	PROPN
ejpam-1362	57	8	′′(x	′′(x	PROPN
ejpam-1362	57	9	)	)	PUNCT
ejpam-1362	57	10	2	2	NUM
ejpam-1362	57	11	d	d	NOUN
ejpam-1362	57	12	x	x	X
ejpam-1362	57	13	(	(	PUNCT
ejpam-1362	57	14	2	2	NUM
ejpam-1362	57	15	)	)	PUNCT
ejpam-1362	57	16	d.	d.	NOUN
ejpam-1362	57	17	aydin	aydin	PROPN
ejpam-1362	57	18	,	,	PUNCT
ejpam-1362	57	19	m.	m.	NOUN
ejpam-1362	57	20	memmedli	memmedli	PROPN
ejpam-1362	57	21	,	,	PUNCT
ejpam-1362	57	22	r.	r.	PROPN
ejpam-1362	57	23	omay	omay	PROPN
ejpam-1362	57	24	/	/	SYM
ejpam-1362	57	25	eur	eur	PROPN
ejpam-1362	57	26	.	.	PUNCT
ejpam-1362	58	1	j.	j.	PROPN
ejpam-1362	58	2	pure	pure	PROPN
ejpam-1362	58	3	appl	appl	PROPN
ejpam-1362	58	4	.	.	PROPN
ejpam-1362	58	5	math	math	PROPN
ejpam-1362	58	6	,	,	PUNCT
ejpam-1362	58	7	6	6	NUM
ejpam-1362	58	8	(	(	PUNCT
ejpam-1362	58	9	2013	2013	NUM
ejpam-1362	58	10	)	)	PUNCT
ejpam-1362	58	11	,	,	PUNCT
ejpam-1362	58	12	222	222	NUM
ejpam-1362	58	13	-	-	SYM
ejpam-1362	58	14	238	238	NUM
ejpam-1362	58	15	224	224	NUM
ejpam-1362	58	16	for	for	ADP
ejpam-1362	58	17	pre	pre	ADJ
ejpam-1362	58	18	-	-	ADJ
ejpam-1362	58	19	specified	specified	ADJ
ejpam-1362	58	20	value	value	NOUN
ejpam-1362	58	21	λ	λ	X
ejpam-1362	58	22	>	>	X
ejpam-1362	58	23	0	0	NUM
ejpam-1362	58	24	.	.	PUNCT
ejpam-1362	59	1	the	the	DET
ejpam-1362	59	2	first	first	ADJ
ejpam-1362	59	3	term	term	NOUN
ejpam-1362	59	4	in	in	ADP
ejpam-1362	59	5	equation	equation	NOUN
ejpam-1362	59	6	(	(	PUNCT
ejpam-1362	59	7	2	2	X
ejpam-1362	59	8	)	)	PUNCT
ejpam-1362	59	9	denotes	denote	VERB
ejpam-1362	59	10	the	the	DET
ejpam-1362	59	11	residual	residual	ADJ
ejpam-1362	59	12	sum	sum	NOUN
ejpam-1362	59	13	of	of	ADP
ejpam-1362	59	14	the	the	DET
ejpam-1362	59	15	squares	square	NOUN
ejpam-1362	59	16	(	(	PUNCT
ejpam-1362	59	17	rss	rss	NOUN
ejpam-1362	59	18	)	)	PUNCT
ejpam-1362	59	19	and	and	CCONJ
ejpam-1362	59	20	it	it	PRON
ejpam-1362	59	21	penalizes	penalize	VERB
ejpam-1362	59	22	the	the	DET
ejpam-1362	59	23	lack	lack	NOUN
ejpam-1362	59	24	of	of	ADP
ejpam-1362	59	25	fit	fit	NOUN
ejpam-1362	59	26	.	.	PUNCT
ejpam-1362	60	1	the	the	DET
ejpam-1362	60	2	second	second	ADJ
ejpam-1362	60	3	term	term	NOUN
ejpam-1362	60	4	which	which	PRON
ejpam-1362	60	5	is	be	AUX
ejpam-1362	60	6	weighted	weight	VERB
ejpam-1362	60	7	by	by	ADP
ejpam-1362	60	8	λ	λ	PROPN
ejpam-1362	60	9	denotes	denote	VERB
ejpam-1362	60	10	the	the	DET
ejpam-1362	60	11	roughness	roughness	NOUN
ejpam-1362	60	12	penalty	penalty	NOUN
ejpam-1362	60	13	and	and	CCONJ
ejpam-1362	60	14	it	it	PRON
ejpam-1362	60	15	imposes	impose	VERB
ejpam-1362	60	16	a	a	DET
ejpam-1362	60	17	penalty	penalty	NOUN
ejpam-1362	60	18	on	on	ADP
ejpam-1362	60	19	roughness	roughness	NOUN
ejpam-1362	60	20	.	.	PUNCT
ejpam-1362	61	1	in	in	ADP
ejpam-1362	61	2	other	other	ADJ
ejpam-1362	61	3	words	word	NOUN
ejpam-1362	61	4	,	,	PUNCT
ejpam-1362	61	5	it	it	PRON
ejpam-1362	61	6	penalizes	penalize	VERB
ejpam-1362	61	7	the	the	DET
ejpam-1362	61	8	curvature	curvature	NOUN
ejpam-1362	61	9	of	of	ADP
ejpam-1362	61	10	the	the	DET
ejpam-1362	61	11	function	function	NOUN
ejpam-1362	61	12	f	f	PROPN
ejpam-1362	61	13	.	.	PUNCT
ejpam-1362	62	1	the	the	DET
ejpam-1362	62	2	λ	λ	PROPN
ejpam-1362	62	3	in	in	ADP
ejpam-1362	62	4	(	(	PUNCT
ejpam-1362	62	5	2	2	NUM
ejpam-1362	62	6	)	)	PUNCT
ejpam-1362	62	7	is	be	AUX
ejpam-1362	62	8	recognized	recognize	VERB
ejpam-1362	62	9	to	to	PART
ejpam-1362	62	10	be	be	AUX
ejpam-1362	62	11	the	the	DET
ejpam-1362	62	12	smoothing	smoothing	NOUN
ejpam-1362	62	13	parameter	parameter	NOUN
ejpam-1362	62	14	.	.	PUNCT
ejpam-1362	63	1	as	as	SCONJ
ejpam-1362	63	2	λ	λ	PROPN
ejpam-1362	63	3	varies	vary	VERB
ejpam-1362	63	4	from	from	ADP
ejpam-1362	63	5	0	0	NUM
ejpam-1362	63	6	to	to	ADP
ejpam-1362	63	7	+	+	CCONJ
ejpam-1362	63	8	,	,	PUNCT
ejpam-1362	63	9	the	the	DET
ejpam-1362	63	10	solution	solution	NOUN
ejpam-1362	63	11	varies	vary	VERB
ejpam-1362	63	12	from	from	ADP
ejpam-1362	63	13	interpolation	interpolation	NOUN
ejpam-1362	63	14	to	to	ADP
ejpam-1362	63	15	a	a	DET
ejpam-1362	63	16	linear	linear	ADJ
ejpam-1362	63	17	model	model	NOUN
ejpam-1362	63	18	.	.	PUNCT
ejpam-1362	64	1	as	as	ADP
ejpam-1362	64	2	λ→	λ→	PUNCT
ejpam-1362	64	3	+	+	NOUN
ejpam-1362	64	4	∞	∞	PROPN
ejpam-1362	64	5	,	,	PUNCT
ejpam-1362	64	6	the	the	DET
ejpam-1362	64	7	roughness	roughness	NOUN
ejpam-1362	64	8	penalty	penalty	NOUN
ejpam-1362	64	9	dominates	dominate	VERB
ejpam-1362	64	10	in	in	ADP
ejpam-1362	64	11	(	(	PUNCT
ejpam-1362	64	12	2	2	NUM
ejpam-1362	64	13	)	)	PUNCT
ejpam-1362	64	14	and	and	CCONJ
ejpam-1362	64	15	the	the	DET
ejpam-1362	64	16	spline	spline	ADJ
ejpam-1362	64	17	estimate	estimate	NOUN
ejpam-1362	64	18	is	be	AUX
ejpam-1362	64	19	compelled	compel	VERB
ejpam-1362	64	20	to	to	PART
ejpam-1362	64	21	be	be	AUX
ejpam-1362	64	22	a	a	DET
ejpam-1362	64	23	constant	constant	ADJ
ejpam-1362	64	24	.	.	PUNCT
ejpam-1362	65	1	as	as	ADP
ejpam-1362	65	2	λ→→	λ→→	PROPN
ejpam-1362	65	3	0	0	NUM
ejpam-1362	65	4	,	,	PUNCT
ejpam-1362	65	5	the	the	DET
ejpam-1362	65	6	roughness	roughness	NOUN
ejpam-1362	65	7	penalty	penalty	NOUN
ejpam-1362	65	8	disappears	disappear	VERB
ejpam-1362	65	9	in	in	ADP
ejpam-1362	65	10	(	(	PUNCT
ejpam-1362	65	11	2	2	NUM
ejpam-1362	65	12	)	)	PUNCT
ejpam-1362	65	13	and	and	CCONJ
ejpam-1362	65	14	the	the	DET
ejpam-1362	65	15	spline	spline	NOUN
ejpam-1362	65	16	estimation	estimation	NOUN
ejpam-1362	65	17	interpolates	interpolate	VERB
ejpam-1362	65	18	the	the	DET
ejpam-1362	65	19	data	datum	NOUN
ejpam-1362	65	20	.	.	PUNCT
ejpam-1362	66	1	thus	thus	ADV
ejpam-1362	66	2	,	,	PUNCT
ejpam-1362	66	3	the	the	DET
ejpam-1362	66	4	smoothing	smooth	VERB
ejpam-1362	66	5	parameter	parameter	NOUN
ejpam-1362	66	6	λ	λ	PROPN
ejpam-1362	66	7	plays	play	VERB
ejpam-1362	66	8	a	a	DET
ejpam-1362	66	9	key	key	ADJ
ejpam-1362	66	10	role	role	NOUN
ejpam-1362	66	11	in	in	ADP
ejpam-1362	66	12	controlling	control	VERB
ejpam-1362	66	13	the	the	DET
ejpam-1362	66	14	trade	trade	NOUN
ejpam-1362	66	15	-	-	PUNCT
ejpam-1362	66	16	off	off	NOUN
ejpam-1362	66	17	between	between	ADP
ejpam-1362	66	18	the	the	DET
ejpam-1362	66	19	goodness	goodness	NOUN
ejpam-1362	66	20	of	of	ADP
ejpam-1362	66	21	fit	fit	NOUN
ejpam-1362	66	22	represented	represent	VERB
ejpam-1362	66	23	by	by	ADP
ejpam-1362	66	24	n	n	PROPN
ejpam-1362	66	25	∑	∑	PROPN
ejpam-1362	67	1	i=1	i=1	PROPN
ejpam-1362	67	2	�	�	PROPN
ejpam-1362	67	3	yi	yi	PROPN
ejpam-1362	68	1	−	−	PROPN
ejpam-1362	68	2	f	f	PROPN
ejpam-1362	68	3	(	(	PUNCT
ejpam-1362	68	4	x	x	PROPN
ejpam-1362	68	5	i	i	NOUN
ejpam-1362	68	6	)	)	PUNCT
ejpam-1362	68	7	2	2	NUM
ejpam-1362	68	8	and	and	CCONJ
ejpam-1362	68	9	smoothness	smoothness	NOUN
ejpam-1362	68	10	of	of	ADP
ejpam-1362	68	11	the	the	DET
ejpam-1362	68	12	estimate	estimate	NOUN
ejpam-1362	68	13	measured	measure	VERB
ejpam-1362	68	14	by	by	ADP
ejpam-1362	68	15	b	b	PROPN
ejpam-1362	68	16	∫	∫	PROPN
ejpam-1362	68	17	a	a	DET
ejpam-1362	68	18	�	�	PROPN
ejpam-1362	68	19	f	f	PROPN
ejpam-1362	68	20	′′(x	′′(x	PROPN
ejpam-1362	68	21	)	)	PUNCT
ejpam-1362	68	22	2	2	NUM
ejpam-1362	68	23	d	d	NOUN
ejpam-1362	68	24	x	x	X
ejpam-1362	68	25	.	.	PUNCT
ejpam-1362	69	1	the	the	DET
ejpam-1362	69	2	solution	solution	NOUN
ejpam-1362	69	3	based	base	VERB
ejpam-1362	69	4	on	on	ADP
ejpam-1362	69	5	smoothing	smooth	VERB
ejpam-1362	69	6	spline	spline	NOUN
ejpam-1362	69	7	for	for	ADP
ejpam-1362	69	8	minimum	minimum	ADJ
ejpam-1362	69	9	problem	problem	NOUN
ejpam-1362	69	10	in	in	ADP
ejpam-1362	69	11	the	the	DET
ejpam-1362	69	12	equation	equation	NOUN
ejpam-1362	69	13	(	(	PUNCT
ejpam-1362	69	14	2	2	X
ejpam-1362	69	15	)	)	PUNCT
ejpam-1362	69	16	is	be	AUX
ejpam-1362	69	17	known	know	VERB
ejpam-1362	69	18	as	as	ADP
ejpam-1362	69	19	a	a	DET
ejpam-1362	69	20	“	"	PUNCT
ejpam-1362	69	21	natural	natural	ADJ
ejpam-1362	69	22	cubic	cubic	ADJ
ejpam-1362	69	23	spline	spline	NOUN
ejpam-1362	69	24	”	"	PUNCT
ejpam-1362	69	25	with	with	ADP
ejpam-1362	69	26	knots	knot	NOUN
ejpam-1362	69	27	at	at	ADP
ejpam-1362	69	28	x1	x1	PROPN
ejpam-1362	69	29	,	,	PUNCT
ejpam-1362	69	30	.	.	PUNCT
ejpam-1362	69	31	.	.	PUNCT
ejpam-1362	70	1	.	.	PUNCT
ejpam-1362	71	1	,	,	PUNCT
ejpam-1362	71	2	xn	xn	PROPN
ejpam-1362	71	3	.	.	PROPN
ejpam-1362	72	1	from	from	ADP
ejpam-1362	72	2	this	this	DET
ejpam-1362	72	3	point	point	NOUN
ejpam-1362	72	4	of	of	ADP
ejpam-1362	72	5	view	view	NOUN
ejpam-1362	72	6	,	,	PUNCT
ejpam-1362	72	7	a	a	DET
ejpam-1362	72	8	special	special	ADJ
ejpam-1362	72	9	structured	structured	ADJ
ejpam-1362	72	10	spline	spline	NOUN
ejpam-1362	72	11	interpolation	interpolation	NOUN
ejpam-1362	72	12	which	which	PRON
ejpam-1362	72	13	depends	depend	VERB
ejpam-1362	72	14	on	on	ADP
ejpam-1362	72	15	a	a	DET
ejpam-1362	72	16	chosen	choose	VERB
ejpam-1362	72	17	value	value	NOUN
ejpam-1362	72	18	λ	λ	NOUN
ejpam-1362	72	19	develops	develop	VERB
ejpam-1362	72	20	into	into	ADP
ejpam-1362	72	21	a	a	DET
ejpam-1362	72	22	suitable	suitable	ADJ
ejpam-1362	72	23	approach	approach	NOUN
ejpam-1362	72	24	of	of	ADP
ejpam-1362	72	25	function	function	NOUN
ejpam-1362	72	26	f	f	PROPN
ejpam-1362	72	27	in	in	ADP
ejpam-1362	72	28	model	model	NOUN
ejpam-1362	72	29	1	1	NUM
ejpam-1362	72	30	.	.	PUNCT
ejpam-1362	73	1	let	let	VERB
ejpam-1362	73	2	f	f	PROPN
ejpam-1362	73	3	=	=	PRON
ejpam-1362	73	4	(	(	PUNCT
ejpam-1362	73	5	f	f	X
ejpam-1362	73	6	(	(	PUNCT
ejpam-1362	73	7	x1	x1	PROPN
ejpam-1362	73	8	)	)	PUNCT
ejpam-1362	73	9	,	,	PUNCT
ejpam-1362	73	10	.	.	PUNCT
ejpam-1362	73	11	.	.	PUNCT
ejpam-1362	74	1	.	.	PUNCT
ejpam-1362	75	1	,	,	PUNCT
ejpam-1362	75	2	f	f	PROPN
ejpam-1362	75	3	(	(	PUNCT
ejpam-1362	75	4	xn	xn	PROPN
ejpam-1362	75	5	)	)	PUNCT
ejpam-1362	75	6	)	)	PUNCT
ejpam-1362	75	7	be	be	AUX
ejpam-1362	75	8	the	the	DET
ejpam-1362	75	9	vector	vector	NOUN
ejpam-1362	75	10	of	of	ADP
ejpam-1362	75	11	values	value	NOUN
ejpam-1362	75	12	of	of	ADP
ejpam-1362	75	13	function	function	NOUN
ejpam-1362	75	14	f	f	PROPN
ejpam-1362	75	15	at	at	ADP
ejpam-1362	75	16	the	the	DET
ejpam-1362	75	17	knot	knot	NOUN
ejpam-1362	75	18	points	point	VERB
ejpam-1362	75	19	x1	x1	PROPN
ejpam-1362	75	20	,	,	PUNCT
ejpam-1362	75	21	.	.	PUNCT
ejpam-1362	75	22	.	.	PUNCT
ejpam-1362	76	1	.	.	PUNCT
ejpam-1362	77	1	,	,	PUNCT
ejpam-1362	77	2	xn	xn	X
ejpam-1362	77	3	.	.	PUNCT
ejpam-1362	78	1	the	the	DET
ejpam-1362	78	2	smoothing	smooth	VERB
ejpam-1362	78	3	spline	spline	NOUN
ejpam-1362	78	4	estimate	estimate	NOUN
ejpam-1362	78	5	f̂λ	f̂λ	NOUN
ejpam-1362	78	6	of	of	ADP
ejpam-1362	78	7	this	this	DET
ejpam-1362	78	8	vector	vector	NOUN
ejpam-1362	78	9	or	or	CCONJ
ejpam-1362	78	10	the	the	DET
ejpam-1362	78	11	fitted	fit	VERB
ejpam-1362	78	12	values	value	NOUN
ejpam-1362	78	13	for	for	ADP
ejpam-1362	78	14	data	datum	NOUN
ejpam-1362	78	15	y	y	PROPN
ejpam-1362	78	16	=	=	SYM
ejpam-1362	78	17	(	(	PUNCT
ejpam-1362	78	18	y1	y1	PROPN
ejpam-1362	78	19	,	,	PUNCT
ejpam-1362	78	20	.	.	PUNCT
ejpam-1362	78	21	.	.	PUNCT
ejpam-1362	78	22	.	.	PUNCT
ejpam-1362	79	1	,	,	PUNCT
ejpam-1362	79	2	yn	yn	PROPN
ejpam-1362	79	3	)	)	PUNCT
ejpam-1362	79	4	t	t	PROPN
ejpam-1362	79	5	are	be	AUX
ejpam-1362	79	6	projected	project	VERB
ejpam-1362	79	7	by	by	ADP
ejpam-1362	79	8	f̂λ	f̂λ	PROPN
ejpam-1362	79	9	=	=	PUNCT
ejpam-1362	79	10			NOUN
ejpam-1362	79	11			ADJ
ejpam-1362	79	12			ADJ
ejpam-1362	79	13			ADJ
ejpam-1362	79	14			ADJ
ejpam-1362	79	15			NUM
ejpam-1362	79	16	f̂λ(x1	f̂λ(x1	NOUN
ejpam-1362	79	17	)	)	PUNCT
ejpam-1362	79	18	f̂λ(x2	f̂λ(x2	NOUN
ejpam-1362	79	19	)	)	PUNCT
ejpam-1362	79	20	...	...	PUNCT
ejpam-1362	80	1	f̂λ(xn	f̂λ(xn	X
ejpam-1362	80	2	)	)	PUNCT
ejpam-1362	80	3			PROPN
ejpam-1362	81	1			PROPN
ejpam-1362	81	2			PROPN
ejpam-1362	81	3			PROPN
ejpam-1362	81	4			PROPN
ejpam-1362	81	5			PROPN
ejpam-1362	81	6	(	(	PUNCT
ejpam-1362	81	7	n×1	n×1	PROPN
ejpam-1362	81	8	)	)	PUNCT
ejpam-1362	82	1	=	=	SYM
ejpam-1362	82	2	sλ	sλ	NOUN
ejpam-1362	82	3			NOUN
ejpam-1362	82	4			ADJ
ejpam-1362	82	5			ADJ
ejpam-1362	82	6			ADJ
ejpam-1362	82	7			ADJ
ejpam-1362	82	8			NUM
ejpam-1362	82	9	y1	y1	INTJ
ejpam-1362	83	1	y2	y2	INTJ
ejpam-1362	83	2	...	...	PUNCT
ejpam-1362	84	1	yn	yn	PRON
ejpam-1362	84	2			PROPN
ejpam-1362	84	3			PROPN
ejpam-1362	84	4			PROPN
ejpam-1362	84	5			PROPN
ejpam-1362	84	6			PROPN
ejpam-1362	84	7			PROPN
ejpam-1362	84	8	(	(	PUNCT
ejpam-1362	84	9	n×1	n×1	PROPN
ejpam-1362	84	10	)	)	PUNCT
ejpam-1362	84	11	or	or	CCONJ
ejpam-1362	84	12	f̂λ	f̂λ	NOUN
ejpam-1362	84	13	=	=	NOUN
ejpam-1362	84	14	sλy	sλy	NOUN
ejpam-1362	84	15	(	(	PUNCT
ejpam-1362	84	16	3	3	NUM
ejpam-1362	84	17	)	)	PUNCT
ejpam-1362	84	18	where	where	SCONJ
ejpam-1362	84	19	f̂λ	f̂λ	PROPN
ejpam-1362	84	20	is	be	AUX
ejpam-1362	84	21	a	a	DET
ejpam-1362	84	22	natural	natural	ADJ
ejpam-1362	84	23	cubic	cubic	ADJ
ejpam-1362	84	24	spline	spline	NOUN
ejpam-1362	84	25	with	with	ADP
ejpam-1362	84	26	knots	knot	NOUN
ejpam-1362	84	27	at	at	ADP
ejpam-1362	84	28	x1	x1	PROPN
ejpam-1362	84	29	,	,	PUNCT
ejpam-1362	84	30	.	.	PUNCT
ejpam-1362	84	31	.	.	PUNCT
ejpam-1362	84	32	.	.	PUNCT
ejpam-1362	85	1	,	,	PUNCT
ejpam-1362	85	2	xn	xn	PROPN
ejpam-1362	85	3	for	for	ADP
ejpam-1362	85	4	a	a	DET
ejpam-1362	85	5	fixed	fixed	ADJ
ejpam-1362	85	6	λ	λ	PROPN
ejpam-1362	85	7	>	>	X
ejpam-1362	85	8	0	0	NUM
ejpam-1362	85	9	,	,	PUNCT
ejpam-1362	85	10	and	and	CCONJ
ejpam-1362	85	11	sλ	sλ	NOUN
ejpam-1362	85	12	is	be	AUX
ejpam-1362	85	13	a	a	DET
ejpam-1362	85	14	well	well	ADV
ejpam-1362	85	15	-	-	PUNCT
ejpam-1362	85	16	known	know	VERB
ejpam-1362	85	17	positive	positive	ADJ
ejpam-1362	85	18	-	-	PUNCT
ejpam-1362	85	19	definite	definite	ADJ
ejpam-1362	85	20	(	(	PUNCT
ejpam-1362	85	21	symmetrical	symmetrical	ADJ
ejpam-1362	85	22	)	)	PUNCT
ejpam-1362	85	23	smoother	smooth	ADJ
ejpam-1362	85	24	matrix	matrix	NOUN
ejpam-1362	85	25	which	which	PRON
ejpam-1362	85	26	depends	depend	VERB
ejpam-1362	85	27	on	on	ADP
ejpam-1362	85	28	λ	λ	PROPN
ejpam-1362	85	29	and	and	CCONJ
ejpam-1362	85	30	the	the	DET
ejpam-1362	85	31	knot	knot	NOUN
ejpam-1362	85	32	points	point	VERB
ejpam-1362	85	33	x1	x1	PROPN
ejpam-1362	85	34	,	,	PUNCT
ejpam-1362	85	35	.	.	PUNCT
ejpam-1362	85	36	.	.	PUNCT
ejpam-1362	86	1	.	.	PUNCT
ejpam-1362	87	1	,	,	PUNCT
ejpam-1362	87	2	xn	xn	PROPN
ejpam-1362	87	3	,	,	PUNCT
ejpam-1362	87	4	but	but	CCONJ
ejpam-1362	87	5	not	not	PART
ejpam-1362	87	6	on	on	ADP
ejpam-1362	87	7	y	y	PROPN
ejpam-1362	87	8	.	.	PUNCT
ejpam-1362	88	1	function	function	PROPN
ejpam-1362	88	2	f̂λ	f̂λ	PROPN
ejpam-1362	88	3	,	,	PUNCT
ejpam-1362	88	4	the	the	DET
ejpam-1362	88	5	estimation	estimation	NOUN
ejpam-1362	88	6	of	of	ADP
ejpam-1362	88	7	function	function	NOUN
ejpam-1362	88	8	f	f	PROPN
ejpam-1362	88	9	,	,	PUNCT
ejpam-1362	88	10	is	be	AUX
ejpam-1362	88	11	obtained	obtain	VERB
ejpam-1362	88	12	by	by	ADP
ejpam-1362	88	13	cubic	cubic	ADJ
ejpam-1362	88	14	spline	spline	NOUN
ejpam-1362	88	15	interpolation	interpolation	NOUN
ejpam-1362	88	16	that	that	PRON
ejpam-1362	88	17	rests	rest	VERB
ejpam-1362	88	18	on	on	ADP
ejpam-1362	88	19	condition	condition	NOUN
ejpam-1362	88	20	f̂	f̂	NUM
ejpam-1362	88	21	(	(	PUNCT
ejpam-1362	88	22	x	x	SYM
ejpam-1362	88	23	i	i	NOUN
ejpam-1362	88	24	)	)	PUNCT
ejpam-1362	89	1	=	=	SYM
ejpam-1362	89	2	(	(	PUNCT
ejpam-1362	89	3	f̂	f̂	PROPN
ejpam-1362	89	4	)	)	PUNCT
ejpam-1362	90	1	i	i	PRON
ejpam-1362	90	2	,	,	PUNCT
ejpam-1362	90	3	i	i	NOUN
ejpam-1362	90	4	=	=	NOUN
ejpam-1362	90	5	1,2	1,2	NUM
ejpam-1362	90	6	,	,	PUNCT
ejpam-1362	90	7	.	.	PUNCT
ejpam-1362	90	8	.	.	PUNCT
ejpam-1362	90	9	.	.	PUNCT
ejpam-1362	91	1	,	,	PUNCT
ejpam-1362	91	2	n.	n.	VERB
ejpam-1362	91	3	to	to	PART
ejpam-1362	91	4	gain	gain	VERB
ejpam-1362	91	5	better	well	ADJ
ejpam-1362	91	6	perspective	perspective	NOUN
ejpam-1362	91	7	on	on	ADP
ejpam-1362	91	8	smoothing	smooth	VERB
ejpam-1362	91	9	spline	spline	NOUN
ejpam-1362	91	10	,	,	PUNCT
ejpam-1362	91	11	eubank	eubank	VERB
ejpam-1362	92	1	[	[	X
ejpam-1362	92	2	6	6	NUM
ejpam-1362	92	3	]	]	PUNCT
ejpam-1362	92	4	,	,	PUNCT
ejpam-1362	92	5	green	green	ADJ
ejpam-1362	92	6	and	and	CCONJ
ejpam-1362	92	7	silverman	silverman	NOUN
ejpam-1362	93	1	[	[	X
ejpam-1362	93	2	7	7	X
ejpam-1362	93	3	]	]	PUNCT
ejpam-1362	93	4	and	and	CCONJ
ejpam-1362	93	5	wahba	wahba	VERB
ejpam-1362	94	1	[	[	X
ejpam-1362	94	2	26	26	NUM
ejpam-1362	94	3	]	]	X
ejpam-1362	94	4	state	state	NOUN
ejpam-1362	94	5	studied	study	VERB
ejpam-1362	94	6	opinions	opinion	NOUN
ejpam-1362	94	7	.	.	PUNCT
ejpam-1362	95	1	3	3	X
ejpam-1362	95	2	.	.	X
ejpam-1362	95	3	smoothing	smooth	VERB
ejpam-1362	95	4	parameter	parameter	NOUN
ejpam-1362	95	5	selection	selection	NOUN
ejpam-1362	95	6	methods	method	NOUN
ejpam-1362	95	7	although	although	SCONJ
ejpam-1362	95	8	smoothing	smooth	VERB
ejpam-1362	95	9	spline	spline	NOUN
ejpam-1362	95	10	estimator	estimator	NOUN
ejpam-1362	95	11	solves	solve	VERB
ejpam-1362	95	12	the	the	DET
ejpam-1362	95	13	problem	problem	NOUN
ejpam-1362	95	14	of	of	ADP
ejpam-1362	95	15	allowing	allow	VERB
ejpam-1362	95	16	fits	fit	NOUN
ejpam-1362	95	17	with	with	ADP
ejpam-1362	95	18	variable	variable	ADJ
ejpam-1362	95	19	slope	slope	NOUN
ejpam-1362	95	20	,	,	PUNCT
ejpam-1362	95	21	a	a	DET
ejpam-1362	95	22	new	new	ADJ
ejpam-1362	95	23	dilemma	dilemma	NOUN
ejpam-1362	95	24	emerges	emerge	VERB
ejpam-1362	95	25	.	.	PUNCT
ejpam-1362	96	1	in	in	ADP
ejpam-1362	96	2	fact	fact	NOUN
ejpam-1362	96	3	,	,	PUNCT
ejpam-1362	96	4	it	it	PRON
ejpam-1362	96	5	generates	generate	VERB
ejpam-1362	96	6	the	the	DET
ejpam-1362	96	7	determination	determination	NOUN
ejpam-1362	96	8	of	of	ADP
ejpam-1362	96	9	the	the	DET
ejpam-1362	96	10	appropriate	appropriate	ADJ
ejpam-1362	96	11	value	value	NOUN
ejpam-1362	96	12	for	for	ADP
ejpam-1362	96	13	the	the	DET
ejpam-1362	96	14	smoothing	smooth	VERB
ejpam-1362	96	15	parameter	parameter	NOUN
ejpam-1362	96	16	λ	λ	PROPN
ejpam-1362	96	17	for	for	ADP
ejpam-1362	96	18	a	a	DET
ejpam-1362	96	19	given	give	VERB
ejpam-1362	96	20	data	datum	NOUN
ejpam-1362	96	21	set	set	VERB
ejpam-1362	96	22	.	.	PUNCT
ejpam-1362	97	1	the	the	DET
ejpam-1362	97	2	same	same	ADJ
ejpam-1362	97	3	value	value	NOUN
ejpam-1362	97	4	of	of	ADP
ejpam-1362	97	5	λ	λ	PROPN
ejpam-1362	97	6	is	be	AUX
ejpam-1362	97	7	unlikely	unlikely	ADJ
ejpam-1362	97	8	to	to	PART
ejpam-1362	97	9	work	work	VERB
ejpam-1362	97	10	equally	equally	ADV
ejpam-1362	97	11	well	well	ADV
ejpam-1362	97	12	with	with	SCONJ
ejpam-1362	97	13	every	every	DET
ejpam-1362	97	14	data	datum	NOUN
ejpam-1362	97	15	set	set	VERB
ejpam-1362	97	16	.	.	PUNCT
ejpam-1362	98	1	as	as	ADP
ejpam-1362	98	2	such	such	ADJ
ejpam-1362	98	3	,	,	PUNCT
ejpam-1362	98	4	the	the	DET
ejpam-1362	98	5	estimation	estimation	NOUN
ejpam-1362	98	6	methods	method	NOUN
ejpam-1362	98	7	have	have	AUX
ejpam-1362	98	8	been	be	AUX
ejpam-1362	98	9	introduced	introduce	VERB
ejpam-1362	98	10	for	for	ADP
ejpam-1362	98	11	the	the	DET
ejpam-1362	98	12	selection	selection	NOUN
ejpam-1362	98	13	of	of	ADP
ejpam-1362	98	14	smoothing	smooth	VERB
ejpam-1362	98	15	parameter	parameter	NOUN
ejpam-1362	98	16	λ	λ	PROPN
ejpam-1362	98	17	in	in	ADP
ejpam-1362	98	18	equation	equation	NOUN
ejpam-1362	98	19	(	(	PUNCT
ejpam-1362	98	20	2	2	NUM
ejpam-1362	98	21	)	)	PUNCT
ejpam-1362	98	22	.	.	PUNCT
ejpam-1362	99	1	the	the	DET
ejpam-1362	99	2	positive	positive	ADJ
ejpam-1362	99	3	value	value	NOUN
ejpam-1362	99	4	λ	λ	PROPN
ejpam-1362	99	5	that	that	PRON
ejpam-1362	99	6	minimizes	minimize	VERB
ejpam-1362	99	7	any	any	DET
ejpam-1362	99	8	smoothing	smoothing	NOUN
ejpam-1362	99	9	parameter	parameter	NOUN
ejpam-1362	99	10	selection	selection	NOUN
ejpam-1362	99	11	methods	method	NOUN
ejpam-1362	99	12	is	be	AUX
ejpam-1362	99	13	selected	select	VERB
ejpam-1362	99	14	as	as	ADP
ejpam-1362	99	15	an	an	DET
ejpam-1362	99	16	appropriate	appropriate	ADJ
ejpam-1362	99	17	smoothing	smoothing	NOUN
ejpam-1362	99	18	parameter	parameter	NOUN
ejpam-1362	99	19	.	.	PUNCT
ejpam-1362	100	1	d.	d.	PROPN
ejpam-1362	100	2	aydin	aydin	PROPN
ejpam-1362	100	3	,	,	PUNCT
ejpam-1362	100	4	m.	m.	NOUN
ejpam-1362	100	5	memmedli	memmedli	PROPN
ejpam-1362	100	6	,	,	PUNCT
ejpam-1362	100	7	r.	r.	PROPN
ejpam-1362	100	8	omay	omay	PROPN
ejpam-1362	100	9	/	/	SYM
ejpam-1362	100	10	eur	eur	PROPN
ejpam-1362	100	11	.	.	PUNCT
ejpam-1362	101	1	j.	j.	PROPN
ejpam-1362	101	2	pure	pure	PROPN
ejpam-1362	101	3	appl	appl	PROPN
ejpam-1362	101	4	.	.	PROPN
ejpam-1362	101	5	math	math	PROPN
ejpam-1362	101	6	,	,	PUNCT
ejpam-1362	101	7	6	6	NUM
ejpam-1362	101	8	(	(	PUNCT
ejpam-1362	101	9	2013	2013	NUM
ejpam-1362	101	10	)	)	PUNCT
ejpam-1362	101	11	,	,	PUNCT
ejpam-1362	101	12	222	222	NUM
ejpam-1362	101	13	-	-	SYM
ejpam-1362	101	14	238	238	NUM
ejpam-1362	101	15	225	225	NUM
ejpam-1362	101	16	3.1	3.1	NUM
ejpam-1362	101	17	.	.	PUNCT
ejpam-1362	102	1	selection	selection	NOUN
ejpam-1362	102	2	methods	method	NOUN
ejpam-1362	102	3	used	use	VERB
ejpam-1362	102	4	in	in	ADP
ejpam-1362	102	5	simulation	simulation	NOUN
ejpam-1362	102	6	study	study	VERB
ejpam-1362	102	7	various	various	ADJ
ejpam-1362	102	8	smoothing	smoothing	NOUN
ejpam-1362	102	9	parameter	parameter	NOUN
ejpam-1362	102	10	selection	selection	NOUN
ejpam-1362	102	11	methods	method	NOUN
ejpam-1362	102	12	are	be	AUX
ejpam-1362	102	13	featured	feature	VERB
ejpam-1362	102	14	in	in	ADP
ejpam-1362	102	15	the	the	DET
ejpam-1362	102	16	literature	literature	NOUN
ejpam-1362	102	17	.	.	PUNCT
ejpam-1362	103	1	most	most	ADJ
ejpam-1362	103	2	of	of	ADP
ejpam-1362	103	3	these	these	DET
ejpam-1362	103	4	suggested	suggest	VERB
ejpam-1362	103	5	methods	method	NOUN
ejpam-1362	103	6	were	be	AUX
ejpam-1362	103	7	implemented	implement	VERB
ejpam-1362	103	8	in	in	ADP
ejpam-1362	103	9	our	our	PRON
ejpam-1362	103	10	simulation	simulation	NOUN
ejpam-1362	103	11	study	study	NOUN
ejpam-1362	103	12	.	.	PUNCT
ejpam-1362	104	1	moreover	moreover	ADV
ejpam-1362	104	2	,	,	PUNCT
ejpam-1362	104	3	a	a	DET
ejpam-1362	104	4	selection	selection	NOUN
ejpam-1362	104	5	criterion	criterion	NOUN
ejpam-1362	104	6	from	from	ADP
ejpam-1362	104	7	previous	previous	ADJ
ejpam-1362	104	8	studies	study	NOUN
ejpam-1362	104	9	in	in	ADP
ejpam-1362	104	10	the	the	DET
ejpam-1362	104	11	literature	literature	NOUN
ejpam-1362	104	12	to	to	PART
ejpam-1362	104	13	provide	provide	VERB
ejpam-1362	104	14	an	an	DET
ejpam-1362	104	15	effective	effective	ADJ
ejpam-1362	104	16	performance	performance	NOUN
ejpam-1362	104	17	was	be	AUX
ejpam-1362	104	18	also	also	ADV
ejpam-1362	104	19	introduced	introduce	VERB
ejpam-1362	104	20	in	in	ADP
ejpam-1362	104	21	this	this	DET
ejpam-1362	104	22	particular	particular	ADJ
ejpam-1362	104	23	study	study	NOUN
ejpam-1362	104	24	.	.	PUNCT
ejpam-1362	105	1	the	the	DET
ejpam-1362	105	2	selection	selection	NOUN
ejpam-1362	105	3	criteria	criterion	NOUN
ejpam-1362	105	4	used	use	VERB
ejpam-1362	105	5	in	in	ADP
ejpam-1362	105	6	our	our	PRON
ejpam-1362	105	7	simulation	simulation	NOUN
ejpam-1362	105	8	study	study	NOUN
ejpam-1362	105	9	are	be	AUX
ejpam-1362	105	10	classified	classify	VERB
ejpam-1362	105	11	as	as	ADP
ejpam-1362	105	12	:	:	PUNCT
ejpam-1362	105	13	average	average	ADJ
ejpam-1362	105	14	predictive	predictive	ADJ
ejpam-1362	105	15	squared	square	VERB
ejpam-1362	105	16	error	error	NOUN
ejpam-1362	105	17	:	:	PUNCT
ejpam-1362	105	18	in	in	ADP
ejpam-1362	105	19	selection	selection	NOUN
ejpam-1362	105	20	the	the	DET
ejpam-1362	105	21	smoothing	smoothing	NOUN
ejpam-1362	105	22	parameter	parameter	NOUN
ejpam-1362	105	23	,	,	PUNCT
ejpam-1362	105	24	it	it	PRON
ejpam-1362	105	25	is	be	AUX
ejpam-1362	105	26	essential	essential	ADJ
ejpam-1362	105	27	not	not	PART
ejpam-1362	105	28	to	to	PART
ejpam-1362	105	29	try	try	VERB
ejpam-1362	105	30	to	to	PART
ejpam-1362	105	31	minimize	minimize	VERB
ejpam-1362	105	32	the	the	DET
ejpam-1362	105	33	mean	mean	ADJ
ejpam-1362	105	34	squared	square	VERB
ejpam-1362	105	35	error	error	NOUN
ejpam-1362	105	36	at	at	ADP
ejpam-1362	105	37	each	each	DET
ejpam-1362	105	38	x	x	ADJ
ejpam-1362	105	39	i	i	NOUN
ejpam-1362	105	40	,	,	PUNCT
ejpam-1362	105	41	but	but	CCONJ
ejpam-1362	105	42	instead	instead	ADV
ejpam-1362	105	43	,	,	PUNCT
ejpam-1362	105	44	the	the	DET
ejpam-1362	105	45	focus	focus	NOUN
ejpam-1362	105	46	should	should	AUX
ejpam-1362	105	47	centre	centre	VERB
ejpam-1362	105	48	on	on	ADP
ejpam-1362	105	49	a	a	DET
ejpam-1362	105	50	global	global	ADJ
ejpam-1362	105	51	measures	measure	NOUN
ejpam-1362	105	52	such	such	ADJ
ejpam-1362	105	53	as	as	ADP
ejpam-1362	105	54	average	average	ADJ
ejpam-1362	105	55	predictive	predictive	ADJ
ejpam-1362	105	56	squared	square	VERB
ejpam-1362	105	57	error	error	NOUN
ejpam-1362	105	58	pse(λ	pse(λ	NOUN
ejpam-1362	105	59	)	)	PUNCT
ejpam-1362	105	60	=	=	PUNCT
ejpam-1362	105	61	¨	¨	NOUN
ejpam-1362	105	62	1	1	NUM
ejpam-1362	105	63	+	+	NUM
ejpam-1362	105	64	t	t	PROPN
ejpam-1362	105	65	r(sλs	r(sλs	PROPN
ejpam-1362	105	66	t	t	PROPN
ejpam-1362	105	67	λ	λ	PROPN
ejpam-1362	105	68	)	)	PUNCT
ejpam-1362	105	69	n	n	CCONJ
ejpam-1362	105	70	«	«	PUNCT
ejpam-1362	105	71	σ	σ	PROPN
ejpam-1362	105	72	2	2	NUM
ejpam-1362	105	73	+	+	CCONJ
ejpam-1362	105	74	(	(	PUNCT
ejpam-1362	105	75	i	i	PRON
ejpam-1362	105	76	−	−	NOUN
ejpam-1362	105	77	sλ	sλ	NOUN
ejpam-1362	105	78	)	)	PUNCT
ejpam-1362	105	79	f	f	NOUN
ejpam-1362	105	80	2	2	NUM
ejpam-1362	105	81	n	n	NOUN
ejpam-1362	105	82	(	(	PUNCT
ejpam-1362	105	83	4	4	NUM
ejpam-1362	105	84	)	)	PUNCT
ejpam-1362	105	85	where	where	SCONJ
ejpam-1362	105	86	t	t	PROPN
ejpam-1362	105	87	r(sλs	r(sλs	PROPN
ejpam-1362	105	88	t	t	PROPN
ejpam-1362	105	89	λ	λ	PROPN
ejpam-1362	105	90	)	)	PUNCT
ejpam-1362	105	91	is	be	AUX
ejpam-1362	105	92	trace	trace	NOUN
ejpam-1362	105	93	of	of	ADP
ejpam-1362	105	94	matrix	matrix	NOUN
ejpam-1362	105	95	sλs	sλs	PROPN
ejpam-1362	105	96	t	t	PROPN
ejpam-1362	105	97	λ	λ	PROPN
ejpam-1362	105	98	and	and	CCONJ
ejpam-1362	105	99	(	(	PUNCT
ejpam-1362	105	100	i	i	PRON
ejpam-1362	105	101	−	−	NOUN
ejpam-1362	105	102	sλ	sλ	NOUN
ejpam-1362	105	103	)	)	PUNCT
ejpam-1362	105	104	f	f	PROPN
ejpam-1362	105	105	is	be	AUX
ejpam-1362	105	106	norm	norm	NOUN
ejpam-1362	105	107	of	of	ADP
ejpam-1362	105	108	matrix	matrix	NOUN
ejpam-1362	105	109	(	(	PUNCT
ejpam-1362	105	110	i	i	PRON
ejpam-1362	105	111	−	−	NOUN
ejpam-1362	105	112	sλ	sλ	NOUN
ejpam-1362	105	113	)	)	PUNCT
ejpam-1362	105	114	f	f	NOUN
ejpam-1362	105	115	.	.	PUNCT
ejpam-1362	106	1	if	if	SCONJ
ejpam-1362	106	2	σ2	σ2	PROPN
ejpam-1362	106	3	is	be	AUX
ejpam-1362	106	4	not	not	PART
ejpam-1362	106	5	known	know	VERB
ejpam-1362	106	6	,	,	PUNCT
ejpam-1362	106	7	in	in	ADP
ejpam-1362	106	8	practice	practice	NOUN
ejpam-1362	106	9	an	an	DET
ejpam-1362	106	10	estimation	estimation	NOUN
ejpam-1362	106	11	for	for	ADP
ejpam-1362	106	12	σ2	σ2	NOUN
ejpam-1362	106	13	can	can	AUX
ejpam-1362	106	14	be	be	AUX
ejpam-1362	106	15	given	give	VERB
ejpam-1362	106	16	by	by	ADP
ejpam-1362	106	17	σ̂2	σ̂2	PROPN
ejpam-1362	106	18	=	=	PUNCT
ejpam-1362	106	19	rss(λ∗	rss(λ∗	NOUN
ejpam-1362	106	20	)	)	PUNCT
ejpam-1362	106	21	�	�	PROPN
ejpam-1362	106	22	n−	n−	NOUN
ejpam-1362	106	23	t	t	NOUN
ejpam-1362	106	24	r	r	NOUN
ejpam-1362	106	25	�	�	PROPN
ejpam-1362	106	26	2sλ∗	2sλ∗	NUM
ejpam-1362	106	27	−	−	PROPN
ejpam-1362	106	28	sλ∗s	sλ∗s	NOUN
ejpam-1362	106	29	t	t	X
ejpam-1362	106	30	λ∗	λ∗	PROPN
ejpam-1362	106	31	�	�	PROPN
ejpam-1362	107	1	=	=	PRON
ejpam-1362	107	2	(	(	PUNCT
ejpam-1362	107	3	sλ∗	sλ∗	NOUN
ejpam-1362	107	4	−	−	NOUN
ejpam-1362	107	5	i)y	i)y	ADJ
ejpam-1362	107	6	2	2	NUM
ejpam-1362	107	7	�	�	PROPN
ejpam-1362	107	8	n−	n−	NOUN
ejpam-1362	107	9	t	t	NOUN
ejpam-1362	107	10	r	r	NOUN
ejpam-1362	107	11	�	�	PROPN
ejpam-1362	107	12	2sλ∗	2sλ∗	NUM
ejpam-1362	107	13	−	−	PROPN
ejpam-1362	107	14	sλ∗s	sλ∗s	NOUN
ejpam-1362	107	15	t	t	X
ejpam-1362	107	16	λ∗	λ∗	PROPN
ejpam-1362	107	17	�	�	PROPN
ejpam-1362	107	18	,	,	PUNCT
ejpam-1362	107	19	where	where	SCONJ
ejpam-1362	107	20	rss(λ∗	rss(λ∗	VERB
ejpam-1362	107	21	)	)	PUNCT
ejpam-1362	107	22	is	be	AUX
ejpam-1362	107	23	the	the	DET
ejpam-1362	107	24	residual	residual	ADJ
ejpam-1362	107	25	sum	sum	NOUN
ejpam-1362	107	26	of	of	ADP
ejpam-1362	107	27	square	square	NOUN
ejpam-1362	107	28	from	from	ADP
ejpam-1362	107	29	a	a	DET
ejpam-1362	107	30	smooth	smooth	ADJ
ejpam-1362	107	31	sλ∗	sλ∗	NOUN
ejpam-1362	107	32	y	y	PROPN
ejpam-1362	107	33	and	and	CCONJ
ejpam-1362	107	34	λ∗	λ∗	PROPN
ejpam-1362	107	35	is	be	AUX
ejpam-1362	107	36	a	a	DET
ejpam-1362	107	37	pilot	pilot	NOUN
ejpam-1362	107	38	λ	λ	NOUN
ejpam-1362	107	39	selected	select	VERB
ejpam-1362	107	40	by	by	ADP
ejpam-1362	107	41	any	any	DET
ejpam-1362	107	42	selection	selection	NOUN
ejpam-1362	107	43	methods	method	NOUN
ejpam-1362	107	44	[	[	PUNCT
ejpam-1362	107	45	see	see	VERB
ejpam-1362	107	46	10	10	NUM
ejpam-1362	107	47	]	]	PUNCT
ejpam-1362	107	48	.	.	PUNCT
ejpam-1362	108	1	cross	cross	NOUN
ejpam-1362	108	2	-	-	NOUN
ejpam-1362	108	3	validation	validation	NOUN
ejpam-1362	108	4	:	:	PUNCT
ejpam-1362	108	5	the	the	DET
ejpam-1362	108	6	basic	basic	ADJ
ejpam-1362	108	7	idea	idea	NOUN
ejpam-1362	108	8	of	of	ADP
ejpam-1362	108	9	cv	cv	PROPN
ejpam-1362	108	10	is	be	AUX
ejpam-1362	108	11	to	to	PART
ejpam-1362	108	12	disregard	disregard	VERB
ejpam-1362	108	13	one	one	NUM
ejpam-1362	108	14	of	of	ADP
ejpam-1362	108	15	the	the	DET
ejpam-1362	108	16	points	point	NOUN
ejpam-1362	108	17	�	�	PROPN
ejpam-1362	108	18	x	x	PUNCT
ejpam-1362	108	19	i	i	PRON
ejpam-1362	108	20	,	,	PUNCT
ejpam-1362	108	21	yi	yi	PROPN
ejpam-1362	108	22	n	n	CCONJ
ejpam-1362	108	23	i=1	i=1	PROPN
ejpam-1362	108	24	sequentially	sequentially	ADV
ejpam-1362	108	25	,	,	PUNCT
ejpam-1362	108	26	to	to	PART
ejpam-1362	108	27	select	select	VERB
ejpam-1362	108	28	the	the	DET
ejpam-1362	108	29	smoothing	smoothing	NOUN
ejpam-1362	108	30	parameter	parameter	NOUN
ejpam-1362	108	31	λ	λ	PROPN
ejpam-1362	108	32	that	that	PRON
ejpam-1362	108	33	minimizes	minimize	VERB
ejpam-1362	108	34	the	the	DET
ejpam-1362	108	35	residual	residual	ADJ
ejpam-1362	108	36	sum	sum	NOUN
ejpam-1362	108	37	of	of	ADP
ejpam-1362	108	38	squares	square	NOUN
ejpam-1362	108	39	,	,	PUNCT
ejpam-1362	108	40	and	and	CCONJ
ejpam-1362	108	41	to	to	PART
ejpam-1362	108	42	estimate	estimate	VERB
ejpam-1362	108	43	the	the	DET
ejpam-1362	108	44	squared	square	VERB
ejpam-1362	108	45	residual	residual	NOUN
ejpam-1362	108	46	for	for	ADP
ejpam-1362	108	47	a	a	DET
ejpam-1362	108	48	smooth	smooth	ADJ
ejpam-1362	108	49	function	function	NOUN
ejpam-1362	108	50	at	at	ADP
ejpam-1362	108	51	x	x	X
ejpam-1362	108	52	i	i	PRON
ejpam-1362	108	53	based	base	VERB
ejpam-1362	108	54	on	on	ADP
ejpam-1362	108	55	the	the	DET
ejpam-1362	108	56	remaining	remain	VERB
ejpam-1362	108	57	(	(	PUNCT
ejpam-1362	108	58	n−	n−	NOUN
ejpam-1362	108	59	1	1	NUM
ejpam-1362	108	60	)	)	PUNCT
ejpam-1362	108	61	points	point	NOUN
ejpam-1362	108	62	.	.	PUNCT
ejpam-1362	109	1	the	the	DET
ejpam-1362	109	2	cv	cv	PROPN
ejpam-1362	109	3	score	score	NOUN
ejpam-1362	109	4	can	can	AUX
ejpam-1362	109	5	be	be	AUX
ejpam-1362	109	6	translated	translate	VERB
ejpam-1362	109	7	as	as	ADP
ejpam-1362	109	8	cv(λ	cv(λ	NOUN
ejpam-1362	109	9	)	)	PUNCT
ejpam-1362	109	10	=	=	SYM
ejpam-1362	109	11	1	1	NUM
ejpam-1362	109	12	n	n	NUM
ejpam-1362	109	13	n	n	NOUN
ejpam-1362	109	14	∑	∑	NOUN
ejpam-1362	109	15	i=1	i=1	PROPN
ejpam-1362	109	16	n	n	CCONJ
ejpam-1362	110	1	yi	yi	PROPN
ejpam-1362	110	2	−	−	PROPN
ejpam-1362	110	3	f̂	f̂	PROPN
ejpam-1362	110	4	(	(	PUNCT
ejpam-1362	110	5	−i	−i	PROPN
ejpam-1362	110	6	)	)	PUNCT
ejpam-1362	110	7	λ	λ	NOUN
ejpam-1362	110	8	(	(	PUNCT
ejpam-1362	110	9	x	x	PROPN
ejpam-1362	110	10	i	i	PROPN
ejpam-1362	110	11	)	)	PUNCT
ejpam-1362	110	12	o2	o2	PROPN
ejpam-1362	110	13	≡	≡	PROPN
ejpam-1362	110	14	cv(λ	cv(λ	PUNCT
ejpam-1362	110	15	)	)	PUNCT
ejpam-1362	110	16	=	=	SYM
ejpam-1362	110	17	1	1	NUM
ejpam-1362	110	18	n	n	NUM
ejpam-1362	110	19	n	n	CCONJ
ejpam-1362	110	20	∑	∑	ADV
ejpam-1362	110	21	i=1	i=1	PROPN
ejpam-1362	110	22	¨	¨	NOUN
ejpam-1362	110	23	yi	yi	NOUN
ejpam-1362	110	24	−	−	PROPN
ejpam-1362	110	25	f̂λ(x	f̂λ(x	PROPN
ejpam-1362	110	26	i	i	NOUN
ejpam-1362	110	27	)	)	PUNCT
ejpam-1362	110	28	1−	1−	NUM
ejpam-1362	110	29	(	(	PUNCT
ejpam-1362	110	30	sλ)ii	sλ)ii	NOUN
ejpam-1362	110	31	«	«	X
ejpam-1362	110	32	2	2	NUM
ejpam-1362	110	33	,	,	PUNCT
ejpam-1362	110	34	(	(	PUNCT
ejpam-1362	110	35	5	5	NUM
ejpam-1362	110	36	)	)	PUNCT
ejpam-1362	110	37	where	where	SCONJ
ejpam-1362	110	38	f̂λ	f̂λ	PROPN
ejpam-1362	110	39	is	be	AUX
ejpam-1362	110	40	the	the	DET
ejpam-1362	110	41	fit	fit	ADJ
ejpam-1362	110	42	(	(	PUNCT
ejpam-1362	110	43	spline	spline	NOUN
ejpam-1362	110	44	smoother	smooth	ADJ
ejpam-1362	110	45	)	)	PUNCT
ejpam-1362	110	46	for	for	ADP
ejpam-1362	110	47	n	n	DET
ejpam-1362	110	48	pairs	pair	NOUN
ejpam-1362	110	49	of	of	ADP
ejpam-1362	110	50	measurements	measurement	NOUN
ejpam-1362	110	51	�	�	PROPN
ejpam-1362	110	52	x	x	PUNCT
ejpam-1362	110	53	i	i	PRON
ejpam-1362	110	54	,	,	PUNCT
ejpam-1362	110	55	yi	yi	PROPN
ejpam-1362	110	56	n	n	CCONJ
ejpam-1362	110	57	i=1	i=1	PROPN
ejpam-1362	110	58	with	with	ADP
ejpam-1362	110	59	smoothing	smooth	VERB
ejpam-1362	110	60	parameter	parameter	NOUN
ejpam-1362	110	61	λ	λ	PROPN
ejpam-1362	110	62	,	,	PUNCT
ejpam-1362	110	63	and	and	CCONJ
ejpam-1362	110	64	f̂	f̂	PROPN
ejpam-1362	110	65	(	(	PUNCT
ejpam-1362	110	66	−i	−i	PROPN
ejpam-1362	110	67	)	)	PUNCT
ejpam-1362	110	68	λ	λ	NOUN
ejpam-1362	110	69	is	be	AUX
ejpam-1362	110	70	the	the	DET
ejpam-1362	110	71	fit	fit	NOUN
ejpam-1362	110	72	calculated	calculate	VERB
ejpam-1362	110	73	by	by	ADP
ejpam-1362	110	74	leaving	leave	VERB
ejpam-1362	110	75	out	out	ADP
ejpam-1362	110	76	the	the	DET
ejpam-1362	110	77	ith	ith	PROPN
ejpam-1362	110	78	data	data	NOUN
ejpam-1362	110	79	point	point	NOUN
ejpam-1362	110	80	and	and	CCONJ
ejpam-1362	110	81	(	(	PUNCT
ejpam-1362	110	82	sλ)ii	sλ)ii	X
ejpam-1362	110	83	is	be	AUX
ejpam-1362	110	84	the	the	DET
ejpam-1362	110	85	ith	ith	PROPN
ejpam-1362	110	86	diagonal	diagonal	ADJ
ejpam-1362	110	87	element	element	NOUN
ejpam-1362	110	88	of	of	ADP
ejpam-1362	110	89	smoother	smooth	ADJ
ejpam-1362	110	90	matrix	matrix	NOUN
ejpam-1362	110	91	sλ	sλ	NOUN
ejpam-1362	110	92	[	[	X
ejpam-1362	110	93	see	see	VERB
ejpam-1362	110	94	26	26	NUM
ejpam-1362	110	95	,	,	PUNCT
ejpam-1362	110	96	7	7	NUM
ejpam-1362	110	97	]	]	PUNCT
ejpam-1362	110	98	.	.	PUNCT
ejpam-1362	111	1	using	use	VERB
ejpam-1362	111	2	the	the	DET
ejpam-1362	111	3	approximations	approximation	NOUN
ejpam-1362	111	4	(	(	PUNCT
ejpam-1362	111	5	sλ)ii	sλ)ii	NOUN
ejpam-1362	111	6	≈	≈	PROPN
ejpam-1362	111	7	¦	¦	PROPN
ejpam-1362	111	8	sλs	sλs	PROPN
ejpam-1362	111	9	t	t	PROPN
ejpam-1362	111	10	λ	λ	PROPN
ejpam-1362	111	11	©	©	PROPN
ejpam-1362	111	12	ii	ii	PROPN
ejpam-1362	111	13	and	and	CCONJ
ejpam-1362	111	14	1/	1/	NUM
ejpam-1362	111	15	�	�	PROPN
ejpam-1362	111	16	1−	1−	NUM
ejpam-1362	111	17	(	(	PUNCT
ejpam-1362	111	18	sλ)ii	sλ)ii	X
ejpam-1362	111	19	�	�	X
ejpam-1362	111	20	2	2	NUM
ejpam-1362	111	21	≈	≈	PROPN
ejpam-1362	111	22	1	1	NUM
ejpam-1362	111	23	+	+	NUM
ejpam-1362	111	24	2(sλ)ii	2(sλ)ii	NOUN
ejpam-1362	111	25	,	,	PUNCT
ejpam-1362	111	26	signifies	signify	VERB
ejpam-1362	111	27	that	that	SCONJ
ejpam-1362	111	28	e	e	PROPN
ejpam-1362	111	29	{	{	PUNCT
ejpam-1362	111	30	cv	cv	PROPN
ejpam-1362	111	31	(	(	PUNCT
ejpam-1362	111	32	λ	λ	NOUN
ejpam-1362	111	33	)	)	PUNCT
ejpam-1362	111	34	}	}	PUNCT
ejpam-1362	111	35	≈	≈	PROPN
ejpam-1362	111	36	pse(λ	pse(λ	PROPN
ejpam-1362	111	37	)	)	PUNCT
ejpam-1362	112	1	+	+	NOUN
ejpam-1362	112	2	2	2	NUM
ejpam-1362	112	3	/	/	SYM
ejpam-1362	112	4	n+	n+	NUM
ejpam-1362	112	5	n	n	CCONJ
ejpam-1362	112	6	∑	∑	ADV
ejpam-1362	112	7	i=1	i=1	PROPN
ejpam-1362	112	8	(	(	PUNCT
ejpam-1362	112	9	sλ)ii	sλ)ii	NOUN
ejpam-1362	112	10	b	b	X
ejpam-1362	112	11	2	2	NUM
ejpam-1362	112	12	i	i	NOUN
ejpam-1362	112	13	(	(	PUNCT
ejpam-1362	112	14	λ	λ	X
ejpam-1362	112	15	)	)	PUNCT
ejpam-1362	113	1	[	[	X
ejpam-1362	113	2	see	see	VERB
ejpam-1362	113	3	10	10	NUM
ejpam-1362	113	4	]	]	PUNCT
ejpam-1362	113	5	.	.	PUNCT
ejpam-1362	114	1	generalized	generalize	VERB
ejpam-1362	114	2	cross	cross	NOUN
ejpam-1362	114	3	-	-	NOUN
ejpam-1362	114	4	validation	validation	NOUN
ejpam-1362	114	5	:	:	PUNCT
ejpam-1362	114	6	gcv	gcv	PROPN
ejpam-1362	114	7	is	be	AUX
ejpam-1362	114	8	a	a	DET
ejpam-1362	114	9	modified	modify	VERB
ejpam-1362	114	10	form	form	NOUN
ejpam-1362	114	11	of	of	ADP
ejpam-1362	114	12	the	the	DET
ejpam-1362	114	13	cv	cv	NOUN
ejpam-1362	114	14	which	which	PRON
ejpam-1362	114	15	is	be	AUX
ejpam-1362	114	16	a	a	DET
ejpam-1362	114	17	conventional	conventional	ADJ
ejpam-1362	114	18	method	method	NOUN
ejpam-1362	114	19	for	for	ADP
ejpam-1362	114	20	choosing	choose	VERB
ejpam-1362	114	21	the	the	DET
ejpam-1362	114	22	smoothing	smoothing	NOUN
ejpam-1362	114	23	parameter	parameter	NOUN
ejpam-1362	114	24	.	.	PUNCT
ejpam-1362	115	1	the	the	DET
ejpam-1362	115	2	gcv	gcv	PROPN
ejpam-1362	115	3	score	score	NOUN
ejpam-1362	115	4	which	which	PRON
ejpam-1362	115	5	is	be	AUX
ejpam-1362	115	6	constructed	construct	VERB
ejpam-1362	115	7	by	by	ADP
ejpam-1362	115	8	analogy	analogy	NOUN
ejpam-1362	115	9	to	to	ADP
ejpam-1362	115	10	cv	cv	PROPN
ejpam-1362	115	11	score	score	NOUN
ejpam-1362	115	12	can	can	AUX
ejpam-1362	115	13	be	be	AUX
ejpam-1362	115	14	obtained	obtain	VERB
ejpam-1362	115	15	from	from	ADP
ejpam-1362	115	16	the	the	DET
ejpam-1362	115	17	ordinary	ordinary	ADJ
ejpam-1362	115	18	residuals	residual	NOUN
ejpam-1362	115	19	by	by	ADP
ejpam-1362	115	20	dividing	divide	VERB
ejpam-1362	115	21	by	by	ADP
ejpam-1362	115	22	the	the	DET
ejpam-1362	115	23	factors	factor	NOUN
ejpam-1362	115	24	1−	1−	NUM
ejpam-1362	115	25	(	(	PUNCT
ejpam-1362	115	26	sλ)ii	sλ)ii	NOUN
ejpam-1362	115	27	.	.	PUNCT
ejpam-1362	116	1	the	the	DET
ejpam-1362	116	2	underlying	underlie	VERB
ejpam-1362	116	3	design	design	NOUN
ejpam-1362	116	4	of	of	ADP
ejpam-1362	116	5	gcv	gcv	PROPN
ejpam-1362	116	6	is	be	AUX
ejpam-1362	116	7	to	to	PART
ejpam-1362	116	8	replace	replace	VERB
ejpam-1362	116	9	the	the	DET
ejpam-1362	116	10	factors	factor	NOUN
ejpam-1362	116	11	1−	1−	NUM
ejpam-1362	116	12	(	(	PUNCT
ejpam-1362	116	13	sλ)ii	sλ)ii	X
ejpam-1362	116	14	in	in	ADP
ejpam-1362	116	15	equation	equation	NOUN
ejpam-1362	116	16	(	(	PUNCT
ejpam-1362	116	17	5	5	NUM
ejpam-1362	116	18	)	)	PUNCT
ejpam-1362	116	19	with	with	ADP
ejpam-1362	116	20	the	the	DET
ejpam-1362	116	21	average	average	ADJ
ejpam-1362	116	22	score	score	NOUN
ejpam-1362	116	23	1−	1−	NUM
ejpam-1362	116	24	n−1	n−1	PROPN
ejpam-1362	116	25	t	t	PROPN
ejpam-1362	116	26	r(sλ	r(sλ	PROPN
ejpam-1362	116	27	)	)	PUNCT
ejpam-1362	116	28	thus	thus	ADV
ejpam-1362	116	29	,	,	PUNCT
ejpam-1362	116	30	by	by	ADP
ejpam-1362	116	31	summing	sum	VERB
ejpam-1362	116	32	the	the	DET
ejpam-1362	116	33	squared	square	VERB
ejpam-1362	116	34	corrected	correct	VERB
ejpam-1362	116	35	residual	residual	ADJ
ejpam-1362	116	36	and	and	CCONJ
ejpam-1362	116	37	factor	factor	NOUN
ejpam-1362	116	38	¦	¦	PROPN
ejpam-1362	116	39	1−	1−	NUM
ejpam-1362	116	40	n−1	n−1	PROPN
ejpam-1362	116	41	t	t	PROPN
ejpam-1362	116	42	r(sλ	r(sλ	PROPN
ejpam-1362	116	43	)	)	PUNCT
ejpam-1362	117	1	©	©	PROPN
ejpam-1362	117	2	2	2	NUM
ejpam-1362	117	3	,	,	PUNCT
ejpam-1362	117	4	by	by	ADP
ejpam-1362	117	5	the	the	DET
ejpam-1362	117	6	analogy	analogy	NOUN
ejpam-1362	117	7	ordinary	ordinary	ADJ
ejpam-1362	117	8	cross	cross	NOUN
ejpam-1362	117	9	-	-	NOUN
ejpam-1362	117	10	validation	validation	NOUN
ejpam-1362	117	11	,	,	PUNCT
ejpam-1362	117	12	the	the	DET
ejpam-1362	117	13	gcv	gcv	PROPN
ejpam-1362	117	14	score	score	NOUN
ejpam-1362	117	15	function	function	NOUN
ejpam-1362	117	16	can	can	AUX
ejpam-1362	117	17	d.	d.	PROPN
ejpam-1362	117	18	aydin	aydin	PROPN
ejpam-1362	117	19	,	,	PUNCT
ejpam-1362	117	20	m.	m.	NOUN
ejpam-1362	117	21	memmedli	memmedli	PROPN
ejpam-1362	117	22	,	,	PUNCT
ejpam-1362	117	23	r.	r.	PROPN
ejpam-1362	117	24	omay	omay	PROPN
ejpam-1362	117	25	/	/	SYM
ejpam-1362	117	26	eur	eur	PROPN
ejpam-1362	117	27	.	.	PUNCT
ejpam-1362	118	1	j.	j.	PROPN
ejpam-1362	118	2	pure	pure	PROPN
ejpam-1362	118	3	appl	appl	PROPN
ejpam-1362	118	4	.	.	PROPN
ejpam-1362	118	5	math	math	PROPN
ejpam-1362	118	6	,	,	PUNCT
ejpam-1362	118	7	6	6	NUM
ejpam-1362	118	8	(	(	PUNCT
ejpam-1362	118	9	2013	2013	NUM
ejpam-1362	118	10	)	)	PUNCT
ejpam-1362	118	11	,	,	PUNCT
ejpam-1362	118	12	222	222	NUM
ejpam-1362	118	13	-	-	SYM
ejpam-1362	118	14	238	238	NUM
ejpam-1362	118	15	226	226	NUM
ejpam-1362	118	16	be	be	AUX
ejpam-1362	118	17	procured	procure	VERB
ejpam-1362	118	18	as	as	ADP
ejpam-1362	118	19	follow	follow	NOUN
ejpam-1362	118	20	[	[	PUNCT
ejpam-1362	118	21	see	see	NOUN
ejpam-1362	118	22	5	5	NUM
ejpam-1362	118	23	,	,	PUNCT
ejpam-1362	118	24	26	26	NUM
ejpam-1362	118	25	]	]	PUNCT
ejpam-1362	118	26	:	:	PUNCT
ejpam-1362	118	27	gcv	gcv	PROPN
ejpam-1362	118	28	(	(	PUNCT
ejpam-1362	118	29	λ	λ	NOUN
ejpam-1362	118	30	)	)	PUNCT
ejpam-1362	118	31	=	=	SYM
ejpam-1362	118	32	1	1	NUM
ejpam-1362	118	33	n	n	NUM
ejpam-1362	118	34	n	n	NOUN
ejpam-1362	118	35	∑	∑	PROPN
ejpam-1362	118	36	i=1	i=1	PROPN
ejpam-1362	118	37	¦	¦	PROPN
ejpam-1362	118	38	yi	yi	PROPN
ejpam-1362	118	39	−	−	PROPN
ejpam-1362	118	40	f̂λ(x1	f̂λ(x1	PROPN
ejpam-1362	118	41	)	)	PUNCT
ejpam-1362	118	42	©	©	PROPN
ejpam-1362	118	43	2	2	NUM
ejpam-1362	118	44	�	�	PROPN
ejpam-1362	118	45	1−	1−	NUM
ejpam-1362	118	46	n−1	n−1	PROPN
ejpam-1362	118	47	t	t	PROPN
ejpam-1362	118	48	r(sλ	r(sλ	NOUN
ejpam-1362	118	49	)	)	PUNCT
ejpam-1362	118	50	2	2	NUM
ejpam-1362	118	51	=	=	SYM
ejpam-1362	118	52	n−1	n−1	PROPN
ejpam-1362	118	53	�	�	PROPN
ejpam-1362	119	1	i	i	PRON
ejpam-1362	119	2	−	−	PROPN
ejpam-1362	119	3	sλ	sλ	NOUN
ejpam-1362	120	1	�	�	PROPN
ejpam-1362	120	2	y	y	PROPN
ejpam-1362	120	3	2	2	NUM
ejpam-1362	120	4	�	�	PROPN
ejpam-1362	120	5	n−1	n−1	PROPN
ejpam-1362	120	6	t	t	PROPN
ejpam-1362	120	7	r	r	NOUN
ejpam-1362	120	8	�	�	PROPN
ejpam-1362	121	1	i	i	PRON
ejpam-1362	121	2	−	−	VERB
ejpam-1362	121	3	sλ	sλ	NOUN
ejpam-1362	121	4	�	�	PROPN
ejpam-1362	121	5	�	�	NOUN
ejpam-1362	121	6	2	2	NUM
ejpam-1362	121	7	(	(	PUNCT
ejpam-1362	121	8	6	6	NUM
ejpam-1362	121	9	)	)	PUNCT
ejpam-1362	121	10	mallows	mallow	NOUN
ejpam-1362	121	11	’	'	PUNCT
ejpam-1362	121	12	cp	cp	NUM
ejpam-1362	121	13	criterion	criterion	NOUN
ejpam-1362	121	14	:	:	PUNCT
ejpam-1362	121	15	in	in	ADP
ejpam-1362	121	16	the	the	DET
ejpam-1362	121	17	literature	literature	NOUN
ejpam-1362	121	18	,	,	PUNCT
ejpam-1362	121	19	cp	cp	NUM
ejpam-1362	121	20	criterion	criterion	NOUN
ejpam-1362	121	21	is	be	AUX
ejpam-1362	121	22	referred	refer	VERB
ejpam-1362	121	23	to	to	ADP
ejpam-1362	121	24	as	as	ADP
ejpam-1362	121	25	an	an	DET
ejpam-1362	121	26	unbiased	unbiased	ADJ
ejpam-1362	121	27	risk	risk	NOUN
ejpam-1362	121	28	estimate	estimate	NOUN
ejpam-1362	121	29	(	(	PUNCT
ejpam-1362	121	30	ubr	ubr	NOUN
ejpam-1362	121	31	)	)	PUNCT
ejpam-1362	121	32	.	.	PUNCT
ejpam-1362	122	1	this	this	DET
ejpam-1362	122	2	type	type	NOUN
ejpam-1362	122	3	of	of	ADP
ejpam-1362	122	4	estimate	estimate	NOUN
ejpam-1362	122	5	was	be	AUX
ejpam-1362	122	6	suggested	suggest	VERB
ejpam-1362	122	7	by	by	ADP
ejpam-1362	122	8	mallows	mallow	NOUN
ejpam-1362	122	9	[	[	X
ejpam-1362	122	10	18	18	NUM
ejpam-1362	122	11	]	]	PUNCT
ejpam-1362	122	12	in	in	ADP
ejpam-1362	122	13	the	the	DET
ejpam-1362	122	14	regression	regression	NOUN
ejpam-1362	122	15	case	case	NOUN
ejpam-1362	122	16	,	,	PUNCT
ejpam-1362	122	17	and	and	CCONJ
ejpam-1362	122	18	applied	apply	VERB
ejpam-1362	122	19	to	to	ADP
ejpam-1362	122	20	smoothing	smooth	VERB
ejpam-1362	122	21	spline	spline	NOUN
ejpam-1362	122	22	by	by	ADP
ejpam-1362	122	23	craven	craven	NOUN
ejpam-1362	122	24	and	and	CCONJ
ejpam-1362	122	25	wahba	wahba	VERB
ejpam-1362	123	1	[	[	X
ejpam-1362	123	2	5	5	NUM
ejpam-1362	123	3	]	]	PUNCT
ejpam-1362	123	4	.	.	PUNCT
ejpam-1362	124	1	if	if	SCONJ
ejpam-1362	124	2	σ2	σ2	PROPN
ejpam-1362	124	3	is	be	AUX
ejpam-1362	124	4	recognized	recognize	VERB
ejpam-1362	124	5	,	,	PUNCT
ejpam-1362	124	6	an	an	DET
ejpam-1362	124	7	unbiased	unbiased	ADJ
ejpam-1362	124	8	estimate	estimate	NOUN
ejpam-1362	124	9	of	of	ADP
ejpam-1362	124	10	the	the	DET
ejpam-1362	124	11	residual	residual	ADJ
ejpam-1362	124	12	sum	sum	NOUN
ejpam-1362	124	13	of	of	ADP
ejpam-1362	124	14	squares	square	NOUN
ejpam-1362	124	15	is	be	AUX
ejpam-1362	124	16	provided	provide	VERB
ejpam-1362	124	17	by	by	ADP
ejpam-1362	124	18	cp	cp	NUM
ejpam-1362	124	19	criterion	criterion	NOUN
ejpam-1362	124	20	:	:	PUNCT
ejpam-1362	124	21	cp(λ	cp(λ	X
ejpam-1362	124	22	)	)	PUNCT
ejpam-1362	124	23	=	=	SYM
ejpam-1362	124	24	1	1	NUM
ejpam-1362	124	25	n	n	NUM
ejpam-1362	124	26	n	n	NOUN
ejpam-1362	124	27	(	(	PUNCT
ejpam-1362	124	28	sλ	sλ	NOUN
ejpam-1362	124	29	−	−	NOUN
ejpam-1362	124	30	i)y	i)y	ADJ
ejpam-1362	124	31	2	2	NUM
ejpam-1362	124	32	+	+	NUM
ejpam-1362	124	33	2σ2	2σ2	NUM
ejpam-1362	124	34	t	t	NOUN
ejpam-1362	124	35	r(sλ)−σ2	r(sλ)−σ2	NOUN
ejpam-1362	124	36	o	o	NOUN
ejpam-1362	124	37	=	=	SYM
ejpam-1362	125	1	1	1	NUM
ejpam-1362	125	2	n	n	CCONJ
ejpam-1362	125	3	n	n	CCONJ
ejpam-1362	125	4	y	y	NOUN
ejpam-1362	125	5	−	−	PROPN
ejpam-1362	125	6	f̂λ	f̂λ	NOUN
ejpam-1362	125	7	2	2	NUM
ejpam-1362	125	8	+	+	SYM
ejpam-1362	125	9	2σ2	2σ2	NUM
ejpam-1362	125	10	t	t	NOUN
ejpam-1362	125	11	r(sλ)−σ2	r(sλ)−σ2	NOUN
ejpam-1362	125	12	o	o	X
ejpam-1362	125	13	(	(	PUNCT
ejpam-1362	125	14	7	7	NUM
ejpam-1362	125	15	)	)	PUNCT
ejpam-1362	125	16	unless	unless	SCONJ
ejpam-1362	125	17	σ2	σ2	PROPN
ejpam-1362	125	18	is	be	AUX
ejpam-1362	125	19	known	know	VERB
ejpam-1362	125	20	,	,	PUNCT
ejpam-1362	125	21	in	in	ADP
ejpam-1362	125	22	practice	practice	NOUN
ejpam-1362	125	23	an	an	DET
ejpam-1362	125	24	estimation	estimation	NOUN
ejpam-1362	125	25	for	for	ADP
ejpam-1362	125	26	σ2	σ2	NOUN
ejpam-1362	125	27	can	can	AUX
ejpam-1362	125	28	be	be	AUX
ejpam-1362	125	29	given	give	VERB
ejpam-1362	125	30	by	by	ADP
ejpam-1362	125	31	σ̂2	σ̂2	PROPN
ejpam-1362	125	32	=	=	PUNCT
ejpam-1362	125	33	σ̂2	σ̂2	NOUN
ejpam-1362	125	34	λ̂	λ̂	X
ejpam-1362	126	1	=	=	SYM
ejpam-1362	126	2	n	n	PART
ejpam-1362	126	3	∑	∑	PROPN
ejpam-1362	126	4	i=1	i=1	PROPN
ejpam-1362	126	5	�	�	PROPN
ejpam-1362	126	6	yi	yi	PROPN
ejpam-1362	127	1	−	−	PROPN
ejpam-1362	127	2	f̂λ̂(x	f̂λ̂(x	PROPN
ejpam-1362	127	3	i	i	PROPN
ejpam-1362	127	4	)	)	PUNCT
ejpam-1362	127	5	�	�	PROPN
ejpam-1362	127	6	2	2	NUM
ejpam-1362	127	7	t	t	NOUN
ejpam-1362	127	8	r	r	NOUN
ejpam-1362	127	9	�	�	PROPN
ejpam-1362	128	1	i	i	PRON
ejpam-1362	128	2	−	−	VERB
ejpam-1362	128	3	sλ̂	sλ̂	PROPN
ejpam-1362	128	4	�	�	PROPN
ejpam-1362	128	5	=	=	SYM
ejpam-1362	128	6	(	(	PUNCT
ejpam-1362	128	7	sλ̂−	sλ̂−	X
ejpam-1362	128	8	i)y	i)y	X
ejpam-1362	128	9	2	2	NUM
ejpam-1362	128	10	t	t	NOUN
ejpam-1362	128	11	r	r	NOUN
ejpam-1362	128	12	�	�	PROPN
ejpam-1362	129	1	i	i	PRON
ejpam-1362	129	2	−	−	PROPN
ejpam-1362	129	3	sλ̂	sλ̂	PROPN
ejpam-1362	129	4	�	�	PROPN
ejpam-1362	129	5	(	(	PUNCT
ejpam-1362	129	6	8)	8)	NUM
ejpam-1362	129	7	where	where	SCONJ
ejpam-1362	129	8	λ̂	λ̂	X
ejpam-1362	129	9	is	be	AUX
ejpam-1362	129	10	pre	pre	ADJ
ejpam-1362	129	11	-	-	VERB
ejpam-1362	129	12	chosen	choose	VERB
ejpam-1362	129	13	with	with	ADP
ejpam-1362	129	14	any	any	PRON
ejpam-1362	129	15	of	of	ADP
ejpam-1362	129	16	the	the	DET
ejpam-1362	129	17	cv	cv	PROPN
ejpam-1362	129	18	,	,	PUNCT
ejpam-1362	129	19	gcv	gcv	PROPN
ejpam-1362	129	20	or	or	CCONJ
ejpam-1362	129	21	aicc	aicc	NOUN
ejpam-1362	129	22	criteria	criterion	NOUN
ejpam-1362	129	23	(	(	PUNCT
ejpam-1362	129	24	λ̂	λ̂	X
ejpam-1362	129	25	is	be	AUX
ejpam-1362	129	26	an	an	DET
ejpam-1362	129	27	estimate	estimate	NOUN
ejpam-1362	129	28	of	of	ADP
ejpam-1362	129	29	λ	λ	NOUN
ejpam-1362	129	30	)	)	PUNCT
ejpam-1362	129	31	for	for	ADP
ejpam-1362	129	32	reference	reference	NOUN
ejpam-1362	129	33	,	,	PUNCT
ejpam-1362	129	34	see	see	VERB
ejpam-1362	129	35	[	[	X
ejpam-1362	129	36	15	15	NUM
ejpam-1362	129	37	,	,	PUNCT
ejpam-1362	129	38	16	16	NUM
ejpam-1362	129	39	,	,	PUNCT
ejpam-1362	129	40	26	26	NUM
ejpam-1362	129	41	]	]	PUNCT
ejpam-1362	129	42	.	.	PUNCT
ejpam-1362	130	1	according	accord	VERB
ejpam-1362	130	2	to	to	ADP
ejpam-1362	130	3	hastie	hastie	PROPN
ejpam-1362	130	4	and	and	CCONJ
ejpam-1362	130	5	tibshirani	tibshirani	VERB
ejpam-1362	130	6	[	[	X
ejpam-1362	130	7	10	10	NUM
ejpam-1362	130	8	]	]	PUNCT
ejpam-1362	130	9	and	and	CCONJ
ejpam-1362	130	10	ruppert	ruppert	PROPN
ejpam-1362	130	11	,	,	PUNCT
ejpam-1362	130	12	et	et	NOUN
ejpam-1362	130	13	.	.	PUNCT
ejpam-1362	131	1	al	al	PROPN
ejpam-1362	131	2	.	.	PUNCT
ejpam-1362	132	1	[	[	X
ejpam-1362	132	2	21	21	NUM
ejpam-1362	132	3	]	]	PUNCT
ejpam-1362	132	4	,	,	PUNCT
ejpam-1362	132	5	gcv	gcv	PROPN
ejpam-1362	132	6	is	be	AUX
ejpam-1362	132	7	approximately	approximately	ADV
ejpam-1362	132	8	equal	equal	ADJ
ejpam-1362	132	9	to	to	ADP
ejpam-1362	132	10	cp	cp	PROPN
ejpam-1362	132	11	.	.	PROPN
ejpam-1362	132	12	improved	improve	VERB
ejpam-1362	132	13	akaike	akaike	ADJ
ejpam-1362	132	14	information	information	NOUN
ejpam-1362	132	15	criterion	criterion	NOUN
ejpam-1362	132	16	:	:	PUNCT
ejpam-1362	132	17	an	an	DET
ejpam-1362	132	18	improved	improved	ADJ
ejpam-1362	132	19	version	version	NOUN
ejpam-1362	132	20	of	of	ADP
ejpam-1362	132	21	a	a	DET
ejpam-1362	132	22	criterion	criterion	NOUN
ejpam-1362	132	23	based	base	VERB
ejpam-1362	132	24	on	on	ADP
ejpam-1362	132	25	the	the	DET
ejpam-1362	132	26	classical	classical	ADJ
ejpam-1362	132	27	akaike	akaike	ADJ
ejpam-1362	132	28	information	information	NOUN
ejpam-1362	132	29	criterion	criterion	NOUN
ejpam-1362	132	30	(	(	PUNCT
ejpam-1362	132	31	aic	aic	PROPN
ejpam-1362	132	32	)	)	PUNCT
ejpam-1362	132	33	,	,	PUNCT
ejpam-1362	132	34	aicc	aicc	NOUN
ejpam-1362	132	35	criterion	criterion	NOUN
ejpam-1362	132	36	,	,	PUNCT
ejpam-1362	132	37	is	be	AUX
ejpam-1362	132	38	used	use	VERB
ejpam-1362	132	39	for	for	ADP
ejpam-1362	132	40	choosing	choose	VERB
ejpam-1362	132	41	the	the	DET
ejpam-1362	132	42	smoothing	smoothing	NOUN
ejpam-1362	132	43	parameter	parameter	NOUN
ejpam-1362	132	44	for	for	ADP
ejpam-1362	132	45	nonparametric	nonparametric	NOUN
ejpam-1362	132	46	smoothers	smoother	NOUN
ejpam-1362	132	47	[	[	X
ejpam-1362	132	48	11	11	NUM
ejpam-1362	132	49	]	]	PUNCT
ejpam-1362	132	50	.	.	PUNCT
ejpam-1362	133	1	this	this	DET
ejpam-1362	133	2	improved	improved	ADJ
ejpam-1362	133	3	criterion	criterion	NOUN
ejpam-1362	133	4	is	be	AUX
ejpam-1362	133	5	defined	define	VERB
ejpam-1362	133	6	as	as	ADP
ejpam-1362	133	7	aicc(λ	aicc(λ	PROPN
ejpam-1362	133	8	)	)	PUNCT
ejpam-1362	133	9	=	=	VERB
ejpam-1362	133	10	log	log	VERB
ejpam-1362	133	11	∑	∑	PROPN
ejpam-1362	133	12	¦	¦	PROPN
ejpam-1362	133	13	yi	yi	PROPN
ejpam-1362	134	1	−	−	PROPN
ejpam-1362	134	2	f̂λ(x	f̂λ(x	PROPN
ejpam-1362	134	3	i	i	NOUN
ejpam-1362	134	4	)	)	PUNCT
ejpam-1362	135	1	©	©	PROPN
ejpam-1362	135	2	2	2	NUM
ejpam-1362	135	3	n	n	NOUN
ejpam-1362	135	4	+	+	NOUN
ejpam-1362	135	5	1	1	NUM
ejpam-1362	135	6	+	+	SYM
ejpam-1362	135	7	2	2	NUM
ejpam-1362	135	8	�	�	PROPN
ejpam-1362	135	9	t	t	PROPN
ejpam-1362	135	10	r(sλ	r(sλ	PROPN
ejpam-1362	135	11	)	)	PUNCT
ejpam-1362	136	1	+	+	CCONJ
ejpam-1362	136	2	1	1	NUM
ejpam-1362	136	3	n−	n−	NOUN
ejpam-1362	136	4	t	t	PROPN
ejpam-1362	136	5	r(sλ)−	r(sλ)−	VERB
ejpam-1362	136	6	2	2	NUM
ejpam-1362	136	7	=	=	SYM
ejpam-1362	136	8	log	log	NOUN
ejpam-1362	136	9	�	�	PROPN
ejpam-1362	136	10	sλ	sλ	NOUN
ejpam-1362	136	11	−	−	PROPN
ejpam-1362	137	1	i	i	PRON
ejpam-1362	137	2	�	�	NOUN
ejpam-1362	137	3	y	y	PROPN
ejpam-1362	137	4	2	2	NUM
ejpam-1362	137	5	n	n	NOUN
ejpam-1362	137	6	+	+	NOUN
ejpam-1362	137	7	1	1	NUM
ejpam-1362	137	8	+	+	SYM
ejpam-1362	137	9	2	2	NUM
ejpam-1362	137	10	�	�	PROPN
ejpam-1362	137	11	t	t	PROPN
ejpam-1362	137	12	r(sλ	r(sλ	PROPN
ejpam-1362	137	13	)	)	PUNCT
ejpam-1362	138	1	+	+	CCONJ
ejpam-1362	138	2	1	1	NUM
ejpam-1362	138	3	n−	n−	NOUN
ejpam-1362	138	4	t	t	PROPN
ejpam-1362	138	5	r(sλ)−	r(sλ)−	VERB
ejpam-1362	138	6	2	2	NUM
ejpam-1362	138	7	.	.	PUNCT
ejpam-1362	139	1	(	(	PUNCT
ejpam-1362	139	2	9	9	X
ejpam-1362	139	3	)	)	PUNCT
ejpam-1362	139	4	this	this	DET
ejpam-1362	139	5	criterion	criterion	NOUN
ejpam-1362	139	6	is	be	AUX
ejpam-1362	139	7	easy	easy	ADJ
ejpam-1362	139	8	to	to	PART
ejpam-1362	139	9	apply	apply	VERB
ejpam-1362	139	10	for	for	ADP
ejpam-1362	139	11	the	the	DET
ejpam-1362	139	12	selection	selection	NOUN
ejpam-1362	139	13	of	of	ADP
ejpam-1362	139	14	smoothing	smoothing	NOUN
ejpam-1362	139	15	parameter	parameter	NOUN
ejpam-1362	139	16	,	,	PUNCT
ejpam-1362	139	17	as	as	SCONJ
ejpam-1362	139	18	can	can	AUX
ejpam-1362	139	19	be	be	AUX
ejpam-1362	139	20	seen	see	VERB
ejpam-1362	139	21	from	from	ADP
ejpam-1362	139	22	the	the	DET
ejpam-1362	139	23	equation	equation	NOUN
ejpam-1362	139	24	(	(	PUNCT
ejpam-1362	139	25	9	9	NUM
ejpam-1362	139	26	)	)	PUNCT
ejpam-1362	139	27	.	.	PUNCT
ejpam-1362	140	1	robustified	robustifie	VERB
ejpam-1362	140	2	cross	cross	NOUN
ejpam-1362	140	3	-	-	NOUN
ejpam-1362	140	4	validation	validation	NOUN
ejpam-1362	140	5	:	:	PUNCT
ejpam-1362	140	6	the	the	DET
ejpam-1362	140	7	smoothing	smooth	VERB
ejpam-1362	140	8	parameter	parameter	NOUN
ejpam-1362	140	9	λ	λ	PROPN
ejpam-1362	140	10	can	can	AUX
ejpam-1362	140	11	be	be	AUX
ejpam-1362	140	12	chosen	choose	VERB
ejpam-1362	140	13	by	by	ADP
ejpam-1362	140	14	method	method	NOUN
ejpam-1362	140	15	of	of	ADP
ejpam-1362	140	16	robustified	robustified	ADJ
ejpam-1362	140	17	cross	cross	NOUN
ejpam-1362	140	18	-	-	ADJ
ejpam-1362	140	19	validation	validation	ADJ
ejpam-1362	140	20	(	(	PUNCT
ejpam-1362	140	21	rcv	rcv	PROPN
ejpam-1362	140	22	)	)	PUNCT
ejpam-1362	140	23	.	.	PUNCT
ejpam-1362	141	1	this	this	PRON
ejpam-1362	141	2	serves	serve	VERB
ejpam-1362	141	3	to	to	PART
ejpam-1362	141	4	reduce	reduce	VERB
ejpam-1362	141	5	risk	risk	NOUN
ejpam-1362	141	6	of	of	ADP
ejpam-1362	141	7	smoothing	smooth	VERB
ejpam-1362	141	8	parameter	parameter	NOUN
ejpam-1362	141	9	misspecification	misspecification	NOUN
ejpam-1362	141	10	in	in	ADP
ejpam-1362	141	11	small	small	ADJ
ejpam-1362	141	12	sample	sample	NOUN
ejpam-1362	141	13	sizes	size	NOUN
ejpam-1362	141	14	.	.	PUNCT
ejpam-1362	142	1	most	most	ADJ
ejpam-1362	142	2	of	of	ADP
ejpam-1362	142	3	the	the	DET
ejpam-1362	142	4	selections	selection	NOUN
ejpam-1362	142	5	methods	method	NOUN
ejpam-1362	142	6	have	have	AUX
ejpam-1362	142	7	been	be	AUX
ejpam-1362	142	8	proposed	propose	VERB
ejpam-1362	142	9	to	to	PART
ejpam-1362	142	10	optimize	optimize	VERB
ejpam-1362	142	11	λ	λ	NOUN
ejpam-1362	142	12	are	be	AUX
ejpam-1362	142	13	related	relate	VERB
ejpam-1362	142	14	to	to	ADP
ejpam-1362	142	15	a	a	DET
ejpam-1362	142	16	distributional	distributional	ADJ
ejpam-1362	142	17	.	.	PUNCT
ejpam-1362	142	18	rcv	rcv	PROPN
ejpam-1362	142	19	criterion	criterion	NOUN
ejpam-1362	142	20	that	that	PRON
ejpam-1362	142	21	does	do	AUX
ejpam-1362	142	22	not	not	PART
ejpam-1362	142	23	refer	refer	VERB
ejpam-1362	142	24	to	to	ADP
ejpam-1362	142	25	a	a	DET
ejpam-1362	142	26	distributional	distributional	ADJ
ejpam-1362	142	27	assumption	assumption	NOUN
ejpam-1362	142	28	is	be	AUX
ejpam-1362	142	29	proposed	propose	VERB
ejpam-1362	142	30	by	by	ADP
ejpam-1362	142	31	robinson	robinson	PROPN
ejpam-1362	142	32	and	and	CCONJ
ejpam-1362	142	33	moyeed	moyeed	VERB
ejpam-1362	142	34	[	[	X
ejpam-1362	142	35	20	20	NUM
ejpam-1362	142	36	]	]	PUNCT
ejpam-1362	142	37	.	.	PUNCT
ejpam-1362	143	1	robustified	robustifie	VERB
ejpam-1362	143	2	cross	cross	ADJ
ejpam-1362	143	3	-	-	ADJ
ejpam-1362	143	4	validation	validation	ADJ
ejpam-1362	143	5	score	score	NOUN
ejpam-1362	143	6	is	be	AUX
ejpam-1362	143	7	given	give	VERB
ejpam-1362	143	8	by	by	ADP
ejpam-1362	143	9	rcv	rcv	PROPN
ejpam-1362	143	10	(	(	PUNCT
ejpam-1362	143	11	λ	λ	PROPN
ejpam-1362	143	12	)	)	PUNCT
ejpam-1362	143	13	=	=	SYM
ejpam-1362	143	14	n−1	n−1	PROPN
ejpam-1362	143	15	1	1	NUM
ejpam-1362	143	16	+	+	NUM
ejpam-1362	143	17	n−1	n−1	PROPN
ejpam-1362	143	18	+	+	PROPN
ejpam-1362	143	19	t	t	NOUN
ejpam-1362	143	20	r	r	NOUN
ejpam-1362	143	21	�	�	PROPN
ejpam-1362	143	22	sλ	sλ	NOUN
ejpam-1362	143	23	�	�	PROPN
ejpam-1362	143	24	2	2	NUM
ejpam-1362	143	25	�	�	PROPN
ejpam-1362	143	26	1	1	NUM
ejpam-1362	143	27	+	+	NUM
ejpam-1362	143	28	n−1	n−1	PROPN
ejpam-1362	143	29	+	+	PROPN
ejpam-1362	143	30	t	t	NOUN
ejpam-1362	143	31	r	r	NOUN
ejpam-1362	143	32	�	�	PROPN
ejpam-1362	143	33	sλ	sλ	PROPN
ejpam-1362	143	34	�	�	PROPN
ejpam-1362	143	35	�	�	PROPN
ejpam-1362	143	36	2	2	NUM
ejpam-1362	143	37	�	�	NOUN
ejpam-1362	144	1	i	i	PRON
ejpam-1362	144	2	−	−	PROPN
ejpam-1362	144	3	sλ	sλ	NOUN
ejpam-1362	144	4	�	�	PROPN
ejpam-1362	144	5	y	y	PROPN
ejpam-1362	144	6	2	2	NUM
ejpam-1362	144	7	.	.	PUNCT
ejpam-1362	145	1	(	(	PUNCT
ejpam-1362	145	2	10	10	NUM
ejpam-1362	145	3	)	)	PUNCT
ejpam-1362	145	4	the	the	DET
ejpam-1362	145	5	minimum	minimum	NOUN
ejpam-1362	145	6	of	of	ADP
ejpam-1362	145	7	(	(	PUNCT
ejpam-1362	145	8	10	10	NUM
ejpam-1362	145	9	)	)	PUNCT
ejpam-1362	145	10	was	be	AUX
ejpam-1362	145	11	empirically	empirically	ADV
ejpam-1362	145	12	obtained	obtain	VERB
ejpam-1362	145	13	by	by	ADP
ejpam-1362	145	14	successively	successively	ADV
ejpam-1362	145	15	searching	search	VERB
ejpam-1362	145	16	interlocked	interlocked	ADJ
ejpam-1362	145	17	grid	grid	NOUN
ejpam-1362	145	18	intervals	interval	NOUN
ejpam-1362	145	19	of	of	ADP
ejpam-1362	145	20	flexible	flexible	ADJ
ejpam-1362	145	21	sizes	size	NOUN
ejpam-1362	145	22	.	.	PUNCT
ejpam-1362	146	1	d.	d.	PROPN
ejpam-1362	146	2	aydin	aydin	PROPN
ejpam-1362	146	3	,	,	PUNCT
ejpam-1362	146	4	m.	m.	NOUN
ejpam-1362	146	5	memmedli	memmedli	PROPN
ejpam-1362	146	6	,	,	PUNCT
ejpam-1362	146	7	r.	r.	PROPN
ejpam-1362	146	8	omay	omay	PROPN
ejpam-1362	146	9	/	/	SYM
ejpam-1362	146	10	eur	eur	PROPN
ejpam-1362	146	11	.	.	PUNCT
ejpam-1362	147	1	j.	j.	PROPN
ejpam-1362	147	2	pure	pure	PROPN
ejpam-1362	147	3	appl	appl	PROPN
ejpam-1362	147	4	.	.	PROPN
ejpam-1362	147	5	math	math	PROPN
ejpam-1362	147	6	,	,	PUNCT
ejpam-1362	147	7	6	6	NUM
ejpam-1362	147	8	(	(	PUNCT
ejpam-1362	147	9	2013	2013	NUM
ejpam-1362	147	10	)	)	PUNCT
ejpam-1362	147	11	,	,	PUNCT
ejpam-1362	147	12	222	222	NUM
ejpam-1362	147	13	-	-	SYM
ejpam-1362	147	14	238	238	NUM
ejpam-1362	147	15	227	227	NUM
ejpam-1362	147	16	parallel	parallel	NOUN
ejpam-1362	147	17	of	of	ADP
ejpam-1362	147	18	akaike	akaike	ADJ
ejpam-1362	147	19	’s	’s	PART
ejpam-1362	147	20	information	information	NOUN
ejpam-1362	147	21	criterion	criterion	NOUN
ejpam-1362	147	22	:	:	PUNCT
ejpam-1362	147	23	a	a	DET
ejpam-1362	147	24	result	result	NOUN
ejpam-1362	147	25	of	of	ADP
ejpam-1362	147	26	stone	stone	NOUN
ejpam-1362	147	27	[	[	X
ejpam-1362	147	28	24	24	NUM
ejpam-1362	147	29	]	]	PUNCT
ejpam-1362	147	30	states	state	VERB
ejpam-1362	147	31	that	that	SCONJ
ejpam-1362	147	32	in	in	ADP
ejpam-1362	147	33	the	the	DET
ejpam-1362	147	34	case	case	NOUN
ejpam-1362	147	35	of	of	ADP
ejpam-1362	147	36	independent	independent	ADJ
ejpam-1362	147	37	observation	observation	NOUN
ejpam-1362	147	38	,	,	PUNCT
ejpam-1362	147	39	the	the	DET
ejpam-1362	147	40	sum	sum	NOUN
ejpam-1362	147	41	over	over	ADP
ejpam-1362	147	42	i	i	PRON
ejpam-1362	147	43	of	of	ADP
ejpam-1362	147	44	the	the	DET
ejpam-1362	147	45	values	value	NOUN
ejpam-1362	147	46	of	of	ADP
ejpam-1362	147	47	log	log	NOUN
ejpam-1362	147	48	-	-	PUNCT
ejpam-1362	147	49	likelihood	likelihood	NOUN
ejpam-1362	147	50	function	function	NOUN
ejpam-1362	147	51	in	in	ADP
ejpam-1362	147	52	y	y	PROPN
ejpam-1362	147	53	=	=	SYM
ejpam-1362	147	54	(	(	PUNCT
ejpam-1362	147	55	y1	y1	PROPN
ejpam-1362	147	56	,	,	PUNCT
ejpam-1362	147	57	.	.	PUNCT
ejpam-1362	147	58	.	.	PUNCT
ejpam-1362	148	1	.	.	PUNCT
ejpam-1362	149	1	,	,	PUNCT
ejpam-1362	149	2	yn	yn	PROPN
ejpam-1362	149	3	)	)	PUNCT
ejpam-1362	149	4	with	with	ADP
ejpam-1362	149	5	parameters	parameter	NOUN
ejpam-1362	149	6	estimated	estimate	VERB
ejpam-1362	149	7	by	by	ADP
ejpam-1362	149	8	maximum	maximum	ADJ
ejpam-1362	149	9	likelihood	likelihood	NOUN
ejpam-1362	149	10	based	base	VERB
ejpam-1362	149	11	on	on	ADP
ejpam-1362	149	12	�	�	PROPN
ejpam-1362	149	13	x	x	ADP
ejpam-1362	149	14	i	i	PRON
ejpam-1362	149	15	is	be	AUX
ejpam-1362	149	16	asymptotically	asymptotically	ADV
ejpam-1362	149	17	equivalent	equivalent	ADJ
ejpam-1362	149	18	to	to	ADP
ejpam-1362	149	19	akaike	akaike	VERB
ejpam-1362	149	20	’s	’s	PART
ejpam-1362	149	21	information	information	NOUN
ejpam-1362	149	22	criterion	criterion	NOUN
ejpam-1362	149	23	(	(	PUNCT
ejpam-1362	149	24	aic	aic	PROPN
ejpam-1362	149	25	)	)	PUNCT
ejpam-1362	149	26	.	.	PUNCT
ejpam-1362	150	1	this	this	DET
ejpam-1362	150	2	result	result	NOUN
ejpam-1362	150	3	is	be	AUX
ejpam-1362	150	4	not	not	PART
ejpam-1362	150	5	directly	directly	ADV
ejpam-1362	150	6	applicable	applicable	ADJ
ejpam-1362	150	7	to	to	ADP
ejpam-1362	150	8	splines	spline	NOUN
ejpam-1362	150	9	,	,	PUNCT
ejpam-1362	150	10	instead	instead	ADV
ejpam-1362	150	11	of	of	ADP
ejpam-1362	150	12	a	a	DET
ejpam-1362	150	13	simple	simple	ADJ
ejpam-1362	150	14	,	,	PUNCT
ejpam-1362	150	15	maximum	maximum	ADJ
ejpam-1362	150	16	-	-	PUNCT
ejpam-1362	150	17	likelihood	likelihood	NOUN
ejpam-1362	150	18	estimate	estimate	NOUN
ejpam-1362	150	19	and	and	CCONJ
ejpam-1362	150	20	σ2	σ2	NOUN
ejpam-1362	150	21	as	as	SCONJ
ejpam-1362	150	22	additional	additional	ADJ
ejpam-1362	150	23	noise	noise	NOUN
ejpam-1362	150	24	parameter	parameter	NOUN
ejpam-1362	150	25	has	have	VERB
ejpam-1362	150	26	to	to	PART
ejpam-1362	150	27	be	be	AUX
ejpam-1362	150	28	taken	take	VERB
ejpam-1362	150	29	into	into	ADP
ejpam-1362	150	30	account	account	NOUN
ejpam-1362	150	31	.	.	PUNCT
ejpam-1362	151	1	however	however	ADV
ejpam-1362	151	2	,	,	PUNCT
ejpam-1362	151	3	there	there	PRON
ejpam-1362	151	4	is	be	VERB
ejpam-1362	151	5	parallel	parallel	ADJ
ejpam-1362	151	6	of	of	ADP
ejpam-1362	151	7	aic	aic	PROPN
ejpam-1362	152	1	[	[	X
ejpam-1362	152	2	22	22	NUM
ejpam-1362	152	3	]	]	PUNCT
ejpam-1362	152	4	.	.	PUNCT
ejpam-1362	153	1	this	this	DET
ejpam-1362	153	2	parallel	parallel	ADJ
ejpam-1362	153	3	criterion	criterion	NOUN
ejpam-1362	153	4	is	be	AUX
ejpam-1362	153	5	given	give	VERB
ejpam-1362	153	6	by	by	ADP
ejpam-1362	153	7	gfaic	gfaic	ADJ
ejpam-1362	153	8	=	=	SYM
ejpam-1362	153	9	n−1	n−1	PROPN
ejpam-1362	153	10	�	�	PROPN
ejpam-1362	154	1	i	i	PRON
ejpam-1362	154	2	−	−	PROPN
ejpam-1362	154	3	sλ	sλ	NOUN
ejpam-1362	154	4	�	�	PROPN
ejpam-1362	154	5	y	y	PROPN
ejpam-1362	154	6	2	2	NUM
ejpam-1362	154	7	+	+	CCONJ
ejpam-1362	154	8	exp(2n−1	exp(2n−1	PROPN
ejpam-1362	154	9	t	t	NOUN
ejpam-1362	154	10	r(sλ	r(sλ	PROPN
ejpam-1362	154	11	)	)	PUNCT
ejpam-1362	154	12	)	)	PUNCT
ejpam-1362	154	13	(	(	PUNCT
ejpam-1362	154	14	11	11	X
ejpam-1362	154	15	)	)	PUNCT
ejpam-1362	154	16	minimization	minimization	NOUN
ejpam-1362	154	17	of	of	ADP
ejpam-1362	154	18	gfaic	gfaic	ADJ
ejpam-1362	154	19	looks	look	VERB
ejpam-1362	154	20	like	like	ADP
ejpam-1362	154	21	maximization	maximization	NOUN
ejpam-1362	154	22	of	of	ADP
ejpam-1362	154	23	the	the	DET
ejpam-1362	154	24	log	log	NOUN
ejpam-1362	154	25	-	-	PUNCT
ejpam-1362	154	26	likelihood	likelihood	NOUN
ejpam-1362	154	27	function	function	NOUN
ejpam-1362	154	28	in	in	ADP
ejpam-1362	154	29	y	y	PROPN
ejpam-1362	154	30	.	.	PUNCT
ejpam-1362	155	1	risk	risk	NOUN
ejpam-1362	155	2	estimation	estimation	NOUN
ejpam-1362	155	3	using	use	VERB
ejpam-1362	155	4	classical	classical	ADJ
ejpam-1362	155	5	pilots	pilot	NOUN
ejpam-1362	155	6	:	:	PUNCT
ejpam-1362	155	7	risk	risk	NOUN
ejpam-1362	155	8	function	function	NOUN
ejpam-1362	155	9	measures	measure	VERB
ejpam-1362	155	10	the	the	DET
ejpam-1362	155	11	distance	distance	NOUN
ejpam-1362	155	12	between	between	ADP
ejpam-1362	155	13	the	the	DET
ejpam-1362	155	14	actual	actual	ADJ
ejpam-1362	155	15	regression	regression	NOUN
ejpam-1362	155	16	function	function	NOUN
ejpam-1362	155	17	(	(	PUNCT
ejpam-1362	155	18	f	f	PROPN
ejpam-1362	155	19	)	)	PUNCT
ejpam-1362	155	20	and	and	CCONJ
ejpam-1362	155	21	its	its	PRON
ejpam-1362	155	22	estimation	estimation	NOUN
ejpam-1362	155	23	(	(	PUNCT
ejpam-1362	155	24	f̂λ	f̂λ	NOUN
ejpam-1362	155	25	)	)	PUNCT
ejpam-1362	155	26	.	.	PUNCT
ejpam-1362	156	1	needless	needless	ADJ
ejpam-1362	156	2	to	to	PART
ejpam-1362	156	3	say	say	VERB
ejpam-1362	156	4	that	that	SCONJ
ejpam-1362	156	5	,	,	PUNCT
ejpam-1362	156	6	a	a	DET
ejpam-1362	156	7	good	good	ADJ
ejpam-1362	156	8	estimate	estimate	NOUN
ejpam-1362	156	9	must	must	AUX
ejpam-1362	156	10	contain	contain	VERB
ejpam-1362	156	11	minimum	minimum	ADJ
ejpam-1362	156	12	risk	risk	NOUN
ejpam-1362	156	13	.	.	PUNCT
ejpam-1362	157	1	a	a	DET
ejpam-1362	157	2	direct	direct	ADJ
ejpam-1362	157	3	computation	computation	NOUN
ejpam-1362	157	4	leads	lead	VERB
ejpam-1362	157	5	to	to	ADP
ejpam-1362	157	6	the	the	DET
ejpam-1362	157	7	bias	bias	NOUN
ejpam-1362	157	8	-	-	PUNCT
ejpam-1362	157	9	variance	variance	NOUN
ejpam-1362	157	10	decomposition	decomposition	NOUN
ejpam-1362	157	11	for	for	ADP
ejpam-1362	157	12	r	r	PROPN
ejpam-1362	157	13	(	(	PUNCT
ejpam-1362	157	14	f	f	PROPN
ejpam-1362	157	15	,	,	PUNCT
ejpam-1362	157	16	f̂λ	f̂λ	NUM
ejpam-1362	157	17	):	):	PUNCT
ejpam-1362	157	18	r	r	NOUN
ejpam-1362	157	19	(	(	PUNCT
ejpam-1362	157	20	f	f	NOUN
ejpam-1362	157	21	,	,	PUNCT
ejpam-1362	157	22	f̂λ	f̂λ	NUM
ejpam-1362	157	23	)	)	PUNCT
ejpam-1362	157	24	=	=	SYM
ejpam-1362	158	1	1	1	NUM
ejpam-1362	158	2	n	n	NUM
ejpam-1362	158	3	e	e	X
ejpam-1362	158	4	f	f	PROPN
ejpam-1362	158	5	−	−	PROPN
ejpam-1362	158	6	f̂λ	f̂λ	NOUN
ejpam-1362	158	7	2	2	NUM
ejpam-1362	158	8	=	=	SYM
ejpam-1362	158	9	1	1	NUM
ejpam-1362	158	10	n	n	CCONJ
ejpam-1362	158	11	n	n	PRON
ejpam-1362	158	12	�	�	PROPN
ejpam-1362	158	13	sλ	sλ	NOUN
ejpam-1362	158	14	−	−	PROPN
ejpam-1362	159	1	i	i	PRON
ejpam-1362	159	2	�	�	PROPN
ejpam-1362	160	1	f	f	PROPN
ejpam-1362	160	2	2	2	NUM
ejpam-1362	160	3	+	+	PROPN
ejpam-1362	160	4	σ2	σ2	PROPN
ejpam-1362	160	5	t	t	PROPN
ejpam-1362	160	6	r(sλs	r(sλs	PROPN
ejpam-1362	160	7	t	t	PROPN
ejpam-1362	160	8	λ	λ	PROPN
ejpam-1362	160	9	)	)	PUNCT
ejpam-1362	160	10	o	o	NOUN
ejpam-1362	160	11	(	(	PUNCT
ejpam-1362	160	12	12	12	NUM
ejpam-1362	160	13	)	)	PUNCT
ejpam-1362	160	14	a	a	DET
ejpam-1362	160	15	clear	clear	ADV
ejpam-1362	160	16	-	-	PUNCT
ejpam-1362	160	17	cut	cut	VERB
ejpam-1362	160	18	explanation	explanation	NOUN
ejpam-1362	160	19	shows	show	VERB
ejpam-1362	160	20	that	that	SCONJ
ejpam-1362	160	21	r	r	NOUN
ejpam-1362	160	22	(	(	PUNCT
ejpam-1362	160	23	f	f	NOUN
ejpam-1362	160	24	,	,	PUNCT
ejpam-1362	160	25	f̂λ	f̂λ	NUM
ejpam-1362	160	26	)	)	PUNCT
ejpam-1362	160	27	=	=	SYM
ejpam-1362	160	28	e	e	X
ejpam-1362	160	29	¦	¦	X
ejpam-1362	160	30	cp(λ	cp(λ	X
ejpam-1362	160	31	)	)	PUNCT
ejpam-1362	160	32	©	©	NOUN
ejpam-1362	160	33	.	.	PUNCT
ejpam-1362	161	1	because	because	SCONJ
ejpam-1362	161	2	the	the	DET
ejpam-1362	161	3	risk	risk	NOUN
ejpam-1362	161	4	r	r	NOUN
ejpam-1362	161	5	(	(	PUNCT
ejpam-1362	161	6	f	f	NOUN
ejpam-1362	161	7	,	,	PUNCT
ejpam-1362	161	8	f̂λ	f̂λ	NUM
ejpam-1362	161	9	)	)	PUNCT
ejpam-1362	161	10	is	be	AUX
ejpam-1362	161	11	an	an	DET
ejpam-1362	161	12	unknown	unknown	ADJ
ejpam-1362	161	13	quantity	quantity	NOUN
ejpam-1362	161	14	,	,	PUNCT
ejpam-1362	161	15	so	so	ADV
ejpam-1362	161	16	-	-	PUNCT
ejpam-1362	161	17	called	call	VERB
ejpam-1362	161	18	risk	risk	NOUN
ejpam-1362	161	19	is	be	AUX
ejpam-1362	161	20	now	now	ADV
ejpam-1362	161	21	estimated	estimate	VERB
ejpam-1362	161	22	by	by	ADP
ejpam-1362	161	23	computable	computable	ADJ
ejpam-1362	161	24	quantity	quantity	NOUN
ejpam-1362	161	25	r	r	NOUN
ejpam-1362	161	26	(	(	PUNCT
ejpam-1362	161	27	f̂λp	f̂λp	NOUN
ejpam-1362	161	28	,	,	PUNCT
ejpam-1362	161	29	f̂λ	f̂λ	NUM
ejpam-1362	161	30	)	)	PUNCT
ejpam-1362	161	31	.	.	PUNCT
ejpam-1362	162	1	the	the	DET
ejpam-1362	162	2	obtained	obtain	VERB
ejpam-1362	162	3	expression	expression	NOUN
ejpam-1362	162	4	for	for	ADP
ejpam-1362	162	5	r	r	NOUN
ejpam-1362	162	6	(	(	PUNCT
ejpam-1362	162	7	f̂λp	f̂λp	NOUN
ejpam-1362	162	8	,	,	PUNCT
ejpam-1362	162	9	f̂λ	f̂λ	NUM
ejpam-1362	162	10	)	)	PUNCT
ejpam-1362	162	11	is	be	AUX
ejpam-1362	162	12	r	r	NOUN
ejpam-1362	162	13	(	(	PUNCT
ejpam-1362	162	14	f̂λp	f̂λp	NOUN
ejpam-1362	162	15	,	,	PUNCT
ejpam-1362	162	16	f̂λ	f̂λ	NUM
ejpam-1362	162	17	)	)	PUNCT
ejpam-1362	162	18	=	=	SYM
ejpam-1362	163	1	1	1	NUM
ejpam-1362	163	2	n	n	NUM
ejpam-1362	163	3	e	e	NOUN
ejpam-1362	163	4	f̂λp	f̂λp	NOUN
ejpam-1362	163	5	−	−	PROPN
ejpam-1362	163	6	f̂λ	f̂λ	NOUN
ejpam-1362	163	7	2	2	NUM
ejpam-1362	163	8	=	=	SYM
ejpam-1362	163	9	1	1	NUM
ejpam-1362	163	10	n	n	DET
ejpam-1362	163	11	�	�	PROPN
ejpam-1362	163	12	�	�	PROPN
ejpam-1362	163	13	sλ	sλ	NOUN
ejpam-1362	163	14	−	−	PROPN
ejpam-1362	164	1	i	i	PRON
ejpam-1362	164	2	�	�	PROPN
ejpam-1362	164	3	f̂λp	f̂λp	NOUN
ejpam-1362	164	4	2	2	NUM
ejpam-1362	164	5	+	+	CCONJ
ejpam-1362	164	6	σ̂2	σ̂2	NOUN
ejpam-1362	164	7	λp	λp	X
ejpam-1362	164	8	t	t	PROPN
ejpam-1362	164	9	r(sλs	r(sλs	PROPN
ejpam-1362	164	10	t	t	PROPN
ejpam-1362	164	11	λ	λ	PROPN
ejpam-1362	164	12	)	)	PUNCT
ejpam-1362	164	13	�	�	PROPN
ejpam-1362	164	14	,	,	PUNCT
ejpam-1362	164	15	(	(	PUNCT
ejpam-1362	164	16	13	13	NUM
ejpam-1362	164	17	)	)	PUNCT
ejpam-1362	164	18	where	where	SCONJ
ejpam-1362	164	19	σ̂2	σ̂2	PROPN
ejpam-1362	164	20	λp	λp	X
ejpam-1362	164	21	and	and	CCONJ
ejpam-1362	164	22	f̂λp	f̂λp	NOUN
ejpam-1362	164	23	are	be	AUX
ejpam-1362	164	24	the	the	DET
ejpam-1362	164	25	appropriate	appropriate	ADJ
ejpam-1362	164	26	pilot	pilot	NOUN
ejpam-1362	164	27	estimates	estimate	NOUN
ejpam-1362	164	28	for	for	ADP
ejpam-1362	164	29	σ2	σ2	PROPN
ejpam-1362	164	30	and	and	CCONJ
ejpam-1362	164	31	f	f	PROPN
ejpam-1362	164	32	,	,	PUNCT
ejpam-1362	164	33	respectively	respectively	ADV
ejpam-1362	164	34	.	.	PUNCT
ejpam-1362	165	1	the	the	DET
ejpam-1362	165	2	pilot	pilot	NOUN
ejpam-1362	165	3	λp	λp	PROPN
ejpam-1362	165	4	selected	select	VERB
ejpam-1362	165	5	by	by	ADP
ejpam-1362	165	6	classical	classical	ADJ
ejpam-1362	165	7	methods	method	NOUN
ejpam-1362	165	8	is	be	AUX
ejpam-1362	165	9	used	use	VERB
ejpam-1362	165	10	for	for	ADP
ejpam-1362	165	11	computation	computation	NOUN
ejpam-1362	165	12	of	of	ADP
ejpam-1362	165	13	the	the	DET
ejpam-1362	165	14	pilot	pilot	NOUN
ejpam-1362	165	15	estimates	estimate	NOUN
ejpam-1362	165	16	.	.	PUNCT
ejpam-1362	166	1	local	local	ADJ
ejpam-1362	166	2	risk	risk	NOUN
ejpam-1362	166	3	estimation	estimation	NOUN
ejpam-1362	166	4	:	:	PUNCT
ejpam-1362	166	5	the	the	DET
ejpam-1362	166	6	lrs	lrs	PROPN
ejpam-1362	166	7	method	method	NOUN
ejpam-1362	166	8	proposed	propose	VERB
ejpam-1362	166	9	by	by	ADP
ejpam-1362	166	10	lee	lee	PROPN
ejpam-1362	167	1	[	[	X
ejpam-1362	167	2	16	16	NUM
ejpam-1362	167	3	]	]	PUNCT
ejpam-1362	167	4	,	,	PUNCT
ejpam-1362	167	5	aims	aim	VERB
ejpam-1362	167	6	to	to	PART
ejpam-1362	167	7	select	select	VERB
ejpam-1362	167	8	the	the	DET
ejpam-1362	167	9	f̂λ(x	f̂λ(x	PROPN
ejpam-1362	167	10	i	i	NOUN
ejpam-1362	167	11	)	)	PUNCT
ejpam-1362	167	12	that	that	PRON
ejpam-1362	167	13	minimizes	minimize	VERB
ejpam-1362	167	14	the	the	DET
ejpam-1362	167	15	local	local	ADJ
ejpam-1362	167	16	risk	risk	NOUN
ejpam-1362	167	17	rλ(x	rλ(x	PUNCT
ejpam-1362	167	18	i	i	NOUN
ejpam-1362	167	19	)	)	PUNCT
ejpam-1362	167	20	=	=	PUNCT
ejpam-1362	167	21	e	e	X
ejpam-1362	167	22	¦	¦	X
ejpam-1362	167	23	f	f	X
ejpam-1362	167	24	(	(	PUNCT
ejpam-1362	167	25	x	x	PROPN
ejpam-1362	167	26	i)−	i)−	PROPN
ejpam-1362	167	27	f̂λ(x	f̂λ(x	X
ejpam-1362	167	28	i	i	NOUN
ejpam-1362	167	29	)	)	PUNCT
ejpam-1362	168	1	©	©	PROPN
ejpam-1362	168	2	2	2	NUM
ejpam-1362	168	3	for	for	ADP
ejpam-1362	168	4	the	the	DET
ejpam-1362	168	5	each	each	DET
ejpam-1362	168	6	knot	knot	NOUN
ejpam-1362	168	7	points	point	VERB
ejpam-1362	168	8	x	x	VERB
ejpam-1362	169	1	i	i	PRON
ejpam-1362	169	2	a	a	DET
ejpam-1362	169	3	direct	direct	ADJ
ejpam-1362	169	4	computation	computation	NOUN
ejpam-1362	169	5	leads	lead	VERB
ejpam-1362	169	6	to	to	ADP
ejpam-1362	169	7	the	the	DET
ejpam-1362	169	8	bias	bias	NOUN
ejpam-1362	169	9	-	-	PUNCT
ejpam-1362	169	10	variance	variance	NOUN
ejpam-1362	169	11	decomposition	decomposition	NOUN
ejpam-1362	169	12	for	for	ADP
ejpam-1362	169	13	rλ(x	rλ(x	NOUN
ejpam-1362	169	14	i	i	PRON
ejpam-1362	169	15	):	):	PUNCT
ejpam-1362	169	16	rλ(x	rλ(x	X
ejpam-1362	169	17	i	i	NOUN
ejpam-1362	169	18	)	)	PUNCT
ejpam-1362	169	19	=	=	SYM
ejpam-1362	169	20	�	�	PROPN
ejpam-1362	169	21	�	�	PROPN
ejpam-1362	169	22	sλ	sλ	PROPN
ejpam-1362	169	23	f	f	PROPN
ejpam-1362	169	24	�	�	PROPN
ejpam-1362	169	25	(	(	PUNCT
ejpam-1362	169	26	x	x	PROPN
ejpam-1362	169	27	i)−	i)−	PROPN
ejpam-1362	169	28	f	f	PROPN
ejpam-1362	169	29	(	(	PUNCT
ejpam-1362	169	30	x	x	PROPN
ejpam-1362	169	31	i	i	NOUN
ejpam-1362	169	32	)	)	PUNCT
ejpam-1362	169	33	2	2	NUM
ejpam-1362	170	1	+	+	VERB
ejpam-1362	170	2	σ2sλ(x	σ2sλ(x	PROPN
ejpam-1362	170	3	i	i	PRON
ejpam-1362	170	4	)	)	PUNCT
ejpam-1362	170	5	(	(	PUNCT
ejpam-1362	170	6	14	14	NUM
ejpam-1362	170	7	)	)	PUNCT
ejpam-1362	170	8	in	in	ADP
ejpam-1362	170	9	the	the	DET
ejpam-1362	170	10	above	above	ADJ
ejpam-1362	170	11	equation	equation	NOUN
ejpam-1362	170	12	,	,	PUNCT
ejpam-1362	170	13	�	�	PROPN
ejpam-1362	170	14	sλ	sλ	PROPN
ejpam-1362	170	15	f	f	PROPN
ejpam-1362	170	16	�	�	PROPN
ejpam-1362	170	17	(	(	PUNCT
ejpam-1362	170	18	x	x	PROPN
ejpam-1362	170	19	i	i	NOUN
ejpam-1362	170	20	)	)	PUNCT
ejpam-1362	170	21	is	be	AUX
ejpam-1362	170	22	the	the	DET
ejpam-1362	170	23	ith	ith	PROPN
ejpam-1362	170	24	element	element	NOUN
ejpam-1362	170	25	of	of	ADP
ejpam-1362	170	26	vector	vector	NOUN
ejpam-1362	170	27	sλ	sλ	NOUN
ejpam-1362	170	28	f	f	PROPN
ejpam-1362	170	29	and	and	CCONJ
ejpam-1362	170	30	sλ(x	sλ(x	PUNCT
ejpam-1362	170	31	i	i	PROPN
ejpam-1362	170	32	)	)	PUNCT
ejpam-1362	170	33	is	be	AUX
ejpam-1362	170	34	the	the	DET
ejpam-1362	170	35	ith	ith	PROPN
ejpam-1362	170	36	diagonal	diagonal	ADJ
ejpam-1362	170	37	element	element	NOUN
ejpam-1362	170	38	of	of	ADP
ejpam-1362	170	39	the	the	DET
ejpam-1362	170	40	square	square	ADJ
ejpam-1362	170	41	matrix	matrix	NOUN
ejpam-1362	170	42	sλs	sλs	PROPN
ejpam-1362	170	43	t	t	PROPN
ejpam-1362	170	44	λ	λ	PROPN
ejpam-1362	170	45	.	.	PUNCT
ejpam-1362	171	1	an	an	DET
ejpam-1362	171	2	estimator	estimator	NOUN
ejpam-1362	171	3	for	for	ADP
ejpam-1362	171	4	rλ(x	rλ(x	PROPN
ejpam-1362	171	5	i	i	PROPN
ejpam-1362	171	6	)	)	PUNCT
ejpam-1362	171	7	is	be	AUX
ejpam-1362	171	8	firstly	firstly	ADV
ejpam-1362	171	9	computed	compute	VERB
ejpam-1362	171	10	and	and	CCONJ
ejpam-1362	171	11	the	the	DET
ejpam-1362	171	12	f̂λ(x	f̂λ(x	PROPN
ejpam-1362	171	13	i	i	NOUN
ejpam-1362	171	14	)	)	PUNCT
ejpam-1362	171	15	is	be	AUX
ejpam-1362	171	16	selected	select	VERB
ejpam-1362	171	17	in	in	ADP
ejpam-1362	171	18	order	order	NOUN
ejpam-1362	171	19	to	to	PART
ejpam-1362	171	20	minimizes	minimize	VERB
ejpam-1362	171	21	it	it	PRON
ejpam-1362	171	22	.	.	PUNCT
ejpam-1362	172	1	this	this	DET
ejpam-1362	172	2	process	process	NOUN
ejpam-1362	172	3	is	be	AUX
ejpam-1362	172	4	repeated	repeat	VERB
ejpam-1362	172	5	for	for	ADP
ejpam-1362	172	6	all	all	PRON
ejpam-1362	172	7	x	x	X
ejpam-1362	173	1	i	i	PRON
ejpam-1362	173	2	’s	’	VERB
ejpam-1362	173	3	and	and	CCONJ
ejpam-1362	173	4	at	at	ADP
ejpam-1362	173	5	the	the	DET
ejpam-1362	173	6	end	end	NOUN
ejpam-1362	173	7	of	of	ADP
ejpam-1362	173	8	the	the	DET
ejpam-1362	173	9	process	process	NOUN
ejpam-1362	173	10	a	a	DET
ejpam-1362	173	11	final	final	ADJ
ejpam-1362	173	12	mixed	mixed	ADJ
ejpam-1362	173	13	estimate	estimate	NOUN
ejpam-1362	173	14	for	for	ADP
ejpam-1362	173	15	f	f	PROPN
ejpam-1362	173	16	is	be	AUX
ejpam-1362	173	17	derived	derive	VERB
ejpam-1362	173	18	.	.	PUNCT
ejpam-1362	174	1	the	the	DET
ejpam-1362	174	2	lrs	lrs	PROPN
ejpam-1362	174	3	method	method	NOUN
ejpam-1362	174	4	can	can	AUX
ejpam-1362	174	5	be	be	AUX
ejpam-1362	174	6	practically	practically	ADV
ejpam-1362	174	7	performed	perform	VERB
ejpam-1362	174	8	with	with	ADP
ejpam-1362	174	9	the	the	DET
ejpam-1362	174	10	following	follow	VERB
ejpam-1362	174	11	five	five	NUM
ejpam-1362	174	12	steps	step	NOUN
ejpam-1362	174	13	[	[	X
ejpam-1362	174	14	15	15	NUM
ejpam-1362	174	15	]	]	X
ejpam-1362	174	16	:	:	PUNCT
ejpam-1362	174	17	(	(	PUNCT
ejpam-1362	174	18	i	i	NOUN
ejpam-1362	174	19	)	)	PUNCT
ejpam-1362	174	20	for	for	ADP
ejpam-1362	174	21	a	a	DET
ejpam-1362	174	22	set	set	NOUN
ejpam-1362	174	23	of	of	ADP
ejpam-1362	174	24	pre	pre	ADJ
ejpam-1362	174	25	-	-	ADJ
ejpam-1362	174	26	selected	selected	ADJ
ejpam-1362	174	27	smoothing	smoothing	NOUN
ejpam-1362	174	28	parameters	parameter	NOUN
ejpam-1362	175	1	λ1	λ1	ADJ
ejpam-1362	175	2	<	<	X
ejpam-1362	175	3	.	.	PUNCT
ejpam-1362	175	4	.	.	PUNCT
ejpam-1362	176	1	.	.	PUNCT
ejpam-1362	177	1	<	<	X
ejpam-1362	178	1	λm	λm	X
ejpam-1362	178	2	,	,	PUNCT
ejpam-1362	178	3	calculate	calculate	VERB
ejpam-1362	178	4	the	the	DET
ejpam-1362	178	5	corresponding	correspond	VERB
ejpam-1362	178	6	set	set	NOUN
ejpam-1362	178	7	of	of	ADP
ejpam-1362	178	8	smoothing	smooth	VERB
ejpam-1362	178	9	spline	spline	NOUN
ejpam-1362	178	10	estimates	estimate	NOUN
ejpam-1362	178	11	:	:	PUNCT
ejpam-1362	178	12	f	f	X
ejpam-1362	178	13	=	=	SYM
ejpam-1362	178	14	¦	¦	PROPN
ejpam-1362	178	15	f̂λ1	f̂λ1	PROPN
ejpam-1362	178	16	,	,	PUNCT
ejpam-1362	178	17	.	.	PUNCT
ejpam-1362	178	18	.	.	PUNCT
ejpam-1362	179	1	.	.	PUNCT
ejpam-1362	180	1	,	,	PUNCT
ejpam-1362	180	2	f̂λm	f̂λm	PROPN
ejpam-1362	180	3	©	©	PROPN
ejpam-1362	180	4	;	;	PUNCT
ejpam-1362	180	5	(	(	PUNCT
ejpam-1362	180	6	ii	ii	NOUN
ejpam-1362	180	7	)	)	PUNCT
ejpam-1362	180	8	select	select	VERB
ejpam-1362	180	9	the	the	DET
ejpam-1362	180	10	pilot	pilot	NOUN
ejpam-1362	180	11	value	value	NOUN
ejpam-1362	180	12	λp	λp	X
ejpam-1362	180	13	from	from	ADP
ejpam-1362	180	14	aicc	aicc	NOUN
ejpam-1362	180	15	criterion	criterion	NOUN
ejpam-1362	180	16	in	in	ADP
ejpam-1362	180	17	(	(	PUNCT
ejpam-1362	180	18	9	9	NUM
ejpam-1362	180	19	)	)	PUNCT
ejpam-1362	180	20	by	by	ADP
ejpam-1362	180	21	using	use	VERB
ejpam-1362	180	22	the	the	DET
ejpam-1362	180	23	elements	element	NOUN
ejpam-1362	180	24	in	in	ADP
ejpam-1362	180	25	f	f	PROPN
ejpam-1362	180	26	;	;	PUNCT
ejpam-1362	180	27	(	(	PUNCT
ejpam-1362	180	28	iii	iii	X
ejpam-1362	180	29	)	)	PUNCT
ejpam-1362	180	30	for	for	ADP
ejpam-1362	180	31	λp	λp	PROPN
ejpam-1362	180	32	,	,	PUNCT
ejpam-1362	180	33	calculate	calculate	VERB
ejpam-1362	180	34	the	the	DET
ejpam-1362	180	35	estimates	estimate	NOUN
ejpam-1362	180	36	f̂λp	f̂λp	NOUN
ejpam-1362	180	37	,	,	PUNCT
ejpam-1362	180	38	and	and	CCONJ
ejpam-1362	180	39	σ̂2	σ̂2	NOUN
ejpam-1362	180	40	λp	λp	X
ejpam-1362	180	41	by	by	ADP
ejpam-1362	180	42	using	use	VERB
ejpam-1362	180	43	the	the	DET
ejpam-1362	180	44	(	(	PUNCT
ejpam-1362	180	45	8)	8)	NUM
ejpam-1362	180	46	;	;	PUNCT
ejpam-1362	180	47	d.	d.	PROPN
ejpam-1362	180	48	aydin	aydin	PROPN
ejpam-1362	180	49	,	,	PUNCT
ejpam-1362	180	50	m.	m.	NOUN
ejpam-1362	180	51	memmedli	memmedli	PROPN
ejpam-1362	180	52	,	,	PUNCT
ejpam-1362	180	53	r.	r.	PROPN
ejpam-1362	180	54	omay	omay	PROPN
ejpam-1362	180	55	/	/	SYM
ejpam-1362	180	56	eur	eur	PROPN
ejpam-1362	180	57	.	.	PUNCT
ejpam-1362	181	1	j.	j.	PROPN
ejpam-1362	181	2	pure	pure	PROPN
ejpam-1362	181	3	appl	appl	PROPN
ejpam-1362	181	4	.	.	PROPN
ejpam-1362	181	5	math	math	PROPN
ejpam-1362	181	6	,	,	PUNCT
ejpam-1362	181	7	6	6	NUM
ejpam-1362	181	8	(	(	PUNCT
ejpam-1362	181	9	2013	2013	NUM
ejpam-1362	181	10	)	)	PUNCT
ejpam-1362	181	11	,	,	PUNCT
ejpam-1362	181	12	222	222	NUM
ejpam-1362	181	13	-	-	SYM
ejpam-1362	181	14	238	238	NUM
ejpam-1362	181	15	228	228	NUM
ejpam-1362	181	16	(	(	PUNCT
ejpam-1362	181	17	iv	iv	X
ejpam-1362	181	18	)	)	PUNCT
ejpam-1362	181	19	substitute	substitute	NOUN
ejpam-1362	181	20	the	the	DET
ejpam-1362	181	21	pilots	pilot	NOUN
ejpam-1362	181	22	f̂λp	f̂λp	NOUN
ejpam-1362	181	23	and	and	CCONJ
ejpam-1362	181	24	σ̂2	σ̂2	NOUN
ejpam-1362	181	25	λp	λp	X
ejpam-1362	181	26	into	into	ADP
ejpam-1362	181	27	the	the	DET
ejpam-1362	181	28	expression	expression	NOUN
ejpam-1362	181	29	r̂λ(x	r̂λ(x	PROPN
ejpam-1362	181	30	i	i	NOUN
ejpam-1362	181	31	)	)	PUNCT
ejpam-1362	182	1	=	=	SYM
ejpam-1362	182	2	n	n	CCONJ
ejpam-1362	182	3	�	�	PROPN
ejpam-1362	182	4	sλ	sλ	NOUN
ejpam-1362	182	5	f̂λp	f̂λp	X
ejpam-1362	182	6	�	�	PROPN
ejpam-1362	182	7	(	(	PUNCT
ejpam-1362	182	8	x	x	PROPN
ejpam-1362	182	9	i)−	i)−	ADJ
ejpam-1362	182	10	f̂λp	f̂λp	NOUN
ejpam-1362	182	11	(	(	PUNCT
ejpam-1362	182	12	x	x	SYM
ejpam-1362	182	13	i	i	NOUN
ejpam-1362	182	14	)	)	PUNCT
ejpam-1362	182	15	o2	o2	PROPN
ejpam-1362	182	16	+	+	CCONJ
ejpam-1362	182	17	σ̂2	σ̂2	PROPN
ejpam-1362	182	18	λp	λp	X
ejpam-1362	182	19	sλ(x	sλ(x	PROPN
ejpam-1362	182	20	i	i	PROPN
ejpam-1362	182	21	)	)	PUNCT
ejpam-1362	183	1	and	and	CCONJ
ejpam-1362	183	2	obtain	obtain	VERB
ejpam-1362	183	3	the	the	DET
ejpam-1362	183	4	estimates	estimate	NOUN
ejpam-1362	183	5	r̂λ(x	r̂λ(x	VERB
ejpam-1362	183	6	i	i	PRON
ejpam-1362	183	7	)	)	PUNCT
ejpam-1362	183	8	(	(	PUNCT
ejpam-1362	183	9	v	v	NOUN
ejpam-1362	183	10	)	)	PUNCT
ejpam-1362	183	11	for	for	SCONJ
ejpam-1362	183	12	each	each	PRON
ejpam-1362	183	13	x	x	PROPN
ejpam-1362	183	14	i	i	PRON
ejpam-1362	183	15	,	,	PUNCT
ejpam-1362	183	16	find	find	VERB
ejpam-1362	183	17	the	the	DET
ejpam-1362	183	18	f̂λ(x	f̂λ(x	PROPN
ejpam-1362	183	19	i	i	NOUN
ejpam-1362	183	20	)	)	PUNCT
ejpam-1362	183	21	from	from	ADP
ejpam-1362	183	22	f	f	PRON
ejpam-1362	183	23	which	which	PRON
ejpam-1362	183	24	minimizes	minimize	VERB
ejpam-1362	183	25	r̂λ(x	r̂λ(x	PROPN
ejpam-1362	183	26	i	i	NOUN
ejpam-1362	183	27	)	)	PUNCT
ejpam-1362	183	28	and	and	CCONJ
ejpam-1362	183	29	the	the	DET
ejpam-1362	183	30	final	final	ADJ
ejpam-1362	183	31	estimate	estimate	NOUN
ejpam-1362	183	32	accept	accept	VERB
ejpam-1362	183	33	the	the	DET
ejpam-1362	183	34	appropriate	appropriate	ADJ
ejpam-1362	183	35	values	value	NOUN
ejpam-1362	183	36	f̂λ(x	f̂λ(x	X
ejpam-1362	183	37	i	i	NOUN
ejpam-1362	183	38	)	)	PUNCT
ejpam-1362	183	39	for	for	ADP
ejpam-1362	183	40	f	f	PROPN
ejpam-1362	183	41	(	(	PUNCT
ejpam-1362	183	42	x	x	PROPN
ejpam-1362	183	43	i	i	NOUN
ejpam-1362	183	44	)	)	PUNCT
ejpam-1362	183	45	3.2	3.2	NUM
ejpam-1362	183	46	.	.	PUNCT
ejpam-1362	184	1	other	other	ADJ
ejpam-1362	184	2	selection	selection	NOUN
ejpam-1362	184	3	methods	method	NOUN
ejpam-1362	184	4	we	we	PRON
ejpam-1362	184	5	also	also	ADV
ejpam-1362	184	6	explored	explore	VERB
ejpam-1362	184	7	most	most	ADJ
ejpam-1362	184	8	of	of	ADP
ejpam-1362	184	9	the	the	DET
ejpam-1362	184	10	selection	selection	NOUN
ejpam-1362	184	11	methods	method	NOUN
ejpam-1362	184	12	that	that	PRON
ejpam-1362	184	13	are	be	AUX
ejpam-1362	184	14	not	not	PART
ejpam-1362	184	15	used	use	VERB
ejpam-1362	184	16	in	in	ADP
ejpam-1362	184	17	our	our	PRON
ejpam-1362	184	18	simulation	simulation	NOUN
ejpam-1362	184	19	.	.	PUNCT
ejpam-1362	185	1	hardle	hardle	PROPN
ejpam-1362	185	2	,	,	PUNCT
ejpam-1362	185	3	hall	hall	NOUN
ejpam-1362	185	4	and	and	CCONJ
ejpam-1362	185	5	marron	marron	PROPN
ejpam-1362	186	1	[	[	X
ejpam-1362	186	2	9	9	NUM
ejpam-1362	186	3	]	]	PUNCT
ejpam-1362	186	4	recommended	recommend	VERB
ejpam-1362	186	5	that	that	SCONJ
ejpam-1362	186	6	aic(λ	aic(λ	PROPN
ejpam-1362	186	7	)	)	PUNCT
ejpam-1362	186	8	,	,	PUNCT
ejpam-1362	186	9	f	f	PROPN
ejpam-1362	186	10	pe(λ	pe(λ	X
ejpam-1362	186	11	)	)	PUNCT
ejpam-1362	186	12	,	,	PUNCT
ejpam-1362	186	13	and	and	CCONJ
ejpam-1362	186	14	sh(λ	sh(λ	NUM
ejpam-1362	186	15	)	)	PUNCT
ejpam-1362	186	16	should	should	AUX
ejpam-1362	186	17	not	not	PART
ejpam-1362	186	18	be	be	AUX
ejpam-1362	186	19	used	use	VERB
ejpam-1362	186	20	because	because	SCONJ
ejpam-1362	186	21	of	of	ADP
ejpam-1362	186	22	their	their	PRON
ejpam-1362	186	23	trivial	trivial	ADJ
ejpam-1362	186	24	minimum	minimum	NOUN
ejpam-1362	186	25	at	at	ADP
ejpam-1362	186	26	the	the	DET
ejpam-1362	186	27	no	no	PRON
ejpam-1362	186	28	-	-	PUNCT
ejpam-1362	186	29	smoothing	smooth	VERB
ejpam-1362	186	30	point	point	NOUN
ejpam-1362	186	31	.	.	PUNCT
ejpam-1362	187	1	they	they	PRON
ejpam-1362	187	2	are	be	AUX
ejpam-1362	187	3	also	also	ADV
ejpam-1362	187	4	preference	preference	NOUN
ejpam-1362	187	5	t	t	PROPN
ejpam-1362	187	6	(	(	PUNCT
ejpam-1362	187	7	λ	λ	NOUN
ejpam-1362	187	8	)	)	PUNCT
ejpam-1362	187	9	for	for	ADP
ejpam-1362	187	10	bandwidth	bandwidth	ADJ
ejpam-1362	187	11	selector	selector	NOUN
ejpam-1362	187	12	,	,	PUNCT
ejpam-1362	187	13	but	but	CCONJ
ejpam-1362	187	14	the	the	DET
ejpam-1362	187	15	statement	statement	NOUN
ejpam-1362	187	16	of	of	ADP
ejpam-1362	187	17	rice	rice	NOUN
ejpam-1362	187	18	[	[	X
ejpam-1362	187	19	19	19	NUM
ejpam-1362	187	20	]	]	PUNCT
ejpam-1362	187	21	that	that	SCONJ
ejpam-1362	187	22	“	"	PUNCT
ejpam-1362	187	23	these	these	DET
ejpam-1362	187	24	result	result	NOUN
ejpam-1362	187	25	are	be	AUX
ejpam-1362	187	26	suggestive	suggestive	ADJ
ejpam-1362	187	27	”	"	PUNCT
ejpam-1362	187	28	,	,	PUNCT
ejpam-1362	187	29	but	but	CCONJ
ejpam-1362	187	30	t	t	PROPN
ejpam-1362	187	31	(	(	PUNCT
ejpam-1362	187	32	λ	λ	X
ejpam-1362	187	33	)	)	PUNCT
ejpam-1362	187	34	has	have	AUX
ejpam-1362	187	35	n’t	not	PART
ejpam-1362	187	36	had	have	VERB
ejpam-1362	187	37	a	a	DET
ejpam-1362	187	38	good	good	ADJ
ejpam-1362	187	39	performance	performance	NOUN
ejpam-1362	187	40	in	in	ADP
ejpam-1362	187	41	our	our	PRON
ejpam-1362	187	42	simulation	simulation	NOUN
ejpam-1362	187	43	study	study	NOUN
ejpam-1362	187	44	.	.	PUNCT
ejpam-1362	188	1	it	it	PRON
ejpam-1362	188	2	is	be	AUX
ejpam-1362	188	3	accepted	accept	VERB
ejpam-1362	188	4	that	that	SCONJ
ejpam-1362	188	5	glm(λ	glm(λ	NOUN
ejpam-1362	188	6	)	)	PUNCT
ejpam-1362	188	7	estimates	estimate	VERB
ejpam-1362	188	8	undersmooths	undersmooth	NOUN
ejpam-1362	188	9	relative	relative	ADJ
ejpam-1362	188	10	to	to	ADP
ejpam-1362	188	11	the	the	DET
ejpam-1362	188	12	gcv	gcv	PROPN
ejpam-1362	188	13	(	(	PUNCT
ejpam-1362	188	14	λ	λ	NOUN
ejpam-1362	188	15	)	)	PUNCT
ejpam-1362	188	16	estimate	estimate	NOUN
ejpam-1362	188	17	(	(	PUNCT
ejpam-1362	188	18	see	see	VERB
ejpam-1362	188	19	,	,	PUNCT
ejpam-1362	188	20	wahba	wahba	VERB
ejpam-1362	189	1	[	[	X
ejpam-1362	189	2	25	25	NUM
ejpam-1362	189	3	]	]	PUNCT
ejpam-1362	189	4	)	)	PUNCT
ejpam-1362	189	5	.	.	PUNCT
ejpam-1362	190	1	moreover	moreover	ADV
ejpam-1362	190	2	,	,	PUNCT
ejpam-1362	190	3	hastie	hastie	PROPN
ejpam-1362	190	4	and	and	CCONJ
ejpam-1362	190	5	tibshirani	tibshirani	VERB
ejpam-1362	191	1	[	[	X
ejpam-1362	191	2	10	10	NUM
ejpam-1362	191	3	]	]	PUNCT
ejpam-1362	191	4	,	,	PUNCT
ejpam-1362	191	5	also	also	ADV
ejpam-1362	191	6	point	point	VERB
ejpam-1362	191	7	out	out	ADP
ejpam-1362	191	8	that	that	SCONJ
ejpam-1362	191	9	minimizing	minimize	VERB
ejpam-1362	191	10	asr(λ	asr(λ	PROPN
ejpam-1362	191	11	)	)	PUNCT
ejpam-1362	191	12	over	over	ADP
ejpam-1362	191	13	the	the	DET
ejpam-1362	191	14	smoothing	smooth	VERB
ejpam-1362	191	15	parameter	parameter	NOUN
ejpam-1362	191	16	leads	lead	VERB
ejpam-1362	191	17	to	to	ADP
ejpam-1362	191	18	an	an	DET
ejpam-1362	191	19	interpolation	interpolation	NOUN
ejpam-1362	191	20	estimate	estimate	NOUN
ejpam-1362	191	21	.	.	PUNCT
ejpam-1362	192	1	furthermore	furthermore	ADV
ejpam-1362	192	2	,	,	PUNCT
ejpam-1362	192	3	we	we	PRON
ejpam-1362	192	4	have	have	AUX
ejpam-1362	192	5	also	also	ADV
ejpam-1362	192	6	performed	perform	VERB
ejpam-1362	192	7	a	a	DET
ejpam-1362	192	8	simulation	simulation	NOUN
ejpam-1362	192	9	study	study	NOUN
ejpam-1362	192	10	for	for	ADP
ejpam-1362	192	11	all	all	DET
ejpam-1362	192	12	the	the	DET
ejpam-1362	192	13	selection	selection	NOUN
ejpam-1362	192	14	methods	method	NOUN
ejpam-1362	192	15	.	.	PUNCT
ejpam-1362	193	1	in	in	ADP
ejpam-1362	193	2	such	such	ADJ
ejpam-1362	193	3	cases	case	NOUN
ejpam-1362	193	4	,	,	PUNCT
ejpam-1362	193	5	the	the	DET
ejpam-1362	193	6	selection	selection	NOUN
ejpam-1362	193	7	methods	method	NOUN
ejpam-1362	193	8	produced	produce	VERB
ejpam-1362	193	9	invalidating	invalidate	VERB
ejpam-1362	193	10	results	result	NOUN
ejpam-1362	193	11	when	when	SCONJ
ejpam-1362	193	12	compared	compare	VERB
ejpam-1362	193	13	with	with	ADP
ejpam-1362	193	14	the	the	DET
ejpam-1362	193	15	selection	selection	NOUN
ejpam-1362	193	16	methods	method	NOUN
ejpam-1362	193	17	such	such	ADJ
ejpam-1362	193	18	as	as	ADP
ejpam-1362	193	19	aicc	aicc	NOUN
ejpam-1362	193	20	,	,	PUNCT
ejpam-1362	193	21	gfaic	gfaic	ADJ
ejpam-1362	193	22	,	,	PUNCT
ejpam-1362	193	23	gcv	gcv	PROPN
ejpam-1362	193	24	,	,	PUNCT
ejpam-1362	193	25	cp	cp	PROPN
ejpam-1362	193	26	and	and	CCONJ
ejpam-1362	193	27	rcv	rcv	PROPN
ejpam-1362	193	28	used	use	VERB
ejpam-1362	193	29	in	in	ADP
ejpam-1362	193	30	our	our	PRON
ejpam-1362	193	31	simulation	simulation	NOUN
ejpam-1362	193	32	study	study	NOUN
ejpam-1362	193	33	.	.	PUNCT
ejpam-1362	194	1	for	for	ADP
ejpam-1362	194	2	this	this	DET
ejpam-1362	194	3	reason	reason	NOUN
ejpam-1362	194	4	,	,	PUNCT
ejpam-1362	194	5	in	in	ADP
ejpam-1362	194	6	this	this	DET
ejpam-1362	194	7	paper	paper	NOUN
ejpam-1362	194	8	,	,	PUNCT
ejpam-1362	194	9	the	the	DET
ejpam-1362	194	10	simulation	simulation	NOUN
ejpam-1362	194	11	results	result	NOUN
ejpam-1362	194	12	of	of	ADP
ejpam-1362	194	13	the	the	DET
ejpam-1362	194	14	aic	aic	PROPN
ejpam-1362	194	15	,	,	PUNCT
ejpam-1362	194	16	f	f	PROPN
ejpam-1362	194	17	pe	pe	PROPN
ejpam-1362	194	18	,	,	PUNCT
ejpam-1362	194	19	sh	sh	PROPN
ejpam-1362	194	20	,	,	PUNCT
ejpam-1362	194	21	t	t	PROPN
ejpam-1362	194	22	,	,	PUNCT
ejpam-1362	194	23	glm	glm	PROPN
ejpam-1362	194	24	and	and	CCONJ
ejpam-1362	194	25	asr	asr	PROPN
ejpam-1362	194	26	criteria	criterion	NOUN
ejpam-1362	194	27	are	be	AUX
ejpam-1362	194	28	not	not	PART
ejpam-1362	194	29	displayed	display	VERB
ejpam-1362	194	30	.	.	PUNCT
ejpam-1362	195	1	for	for	ADP
ejpam-1362	195	2	smoothing	smooth	VERB
ejpam-1362	195	3	spline	spline	NOUN
ejpam-1362	195	4	,	,	PUNCT
ejpam-1362	195	5	these	these	DET
ejpam-1362	195	6	selection	selection	NOUN
ejpam-1362	195	7	criteria	criterion	NOUN
ejpam-1362	195	8	can	can	AUX
ejpam-1362	195	9	be	be	AUX
ejpam-1362	195	10	given	give	VERB
ejpam-1362	195	11	as	as	ADP
ejpam-1362	195	12	:	:	PUNCT
ejpam-1362	195	13	(	(	PUNCT
ejpam-1362	195	14	a	a	X
ejpam-1362	195	15	)	)	PUNCT
ejpam-1362	195	16	akaike	akaike	ADJ
ejpam-1362	195	17	’s	’s	PART
ejpam-1362	195	18	information	information	NOUN
ejpam-1362	195	19	criterion	criterion	NOUN
ejpam-1362	195	20	[	[	X
ejpam-1362	195	21	2	2	NUM
ejpam-1362	195	22	]	]	PUNCT
ejpam-1362	195	23	,	,	PUNCT
ejpam-1362	195	24	aic(λ	aic(λ	PROPN
ejpam-1362	195	25	)	)	PUNCT
ejpam-1362	195	26	=	=	SYM
ejpam-1362	196	1	1	1	NUM
ejpam-1362	196	2	n	n	X
ejpam-1362	196	3	�	�	NOUN
ejpam-1362	197	1	i	i	PRON
ejpam-1362	197	2	−	−	VERB
ejpam-1362	197	3	sλ	sλ	NOUN
ejpam-1362	197	4	�	�	PROPN
ejpam-1362	197	5	y	y	PROPN
ejpam-1362	197	6	2	2	NUM
ejpam-1362	197	7	exp(1−	exp(1−	PROPN
ejpam-1362	197	8	n−1	n−1	PROPN
ejpam-1362	197	9	t	t	NOUN
ejpam-1362	197	10	r(sλ	r(sλ	PROPN
ejpam-1362	197	11	)	)	PUNCT
ejpam-1362	197	12	)	)	PUNCT
ejpam-1362	197	13	;	;	PUNCT
ejpam-1362	197	14	(	(	PUNCT
ejpam-1362	197	15	b	b	X
ejpam-1362	197	16	)	)	PUNCT
ejpam-1362	197	17	finite	finite	ADJ
ejpam-1362	197	18	prediction	prediction	NOUN
ejpam-1362	197	19	error	error	NOUN
ejpam-1362	197	20	[	[	X
ejpam-1362	197	21	1	1	NUM
ejpam-1362	197	22	]	]	PUNCT
ejpam-1362	197	23	,	,	PUNCT
ejpam-1362	197	24	f	f	PROPN
ejpam-1362	197	25	pe(λ	pe(λ	X
ejpam-1362	197	26	)	)	PUNCT
ejpam-1362	197	27	=	=	SYM
ejpam-1362	197	28	1	1	NUM
ejpam-1362	197	29	n	n	X
ejpam-1362	197	30	�	�	NOUN
ejpam-1362	198	1	i	i	PRON
ejpam-1362	198	2	−	−	VERB
ejpam-1362	198	3	sλ	sλ	NOUN
ejpam-1362	198	4	�	�	PROPN
ejpam-1362	198	5	y	y	PROPN
ejpam-1362	198	6	2	2	NUM
ejpam-1362	198	7	1	1	NUM
ejpam-1362	198	8	+	+	NUM
ejpam-1362	198	9	n−1	n−1	PROPN
ejpam-1362	198	10	t	t	NOUN
ejpam-1362	198	11	r(sλ	r(sλ	PROPN
ejpam-1362	198	12	)	)	PUNCT
ejpam-1362	199	1	1−	1−	NUM
ejpam-1362	199	2	n−1	n−1	PROPN
ejpam-1362	199	3	t	t	PROPN
ejpam-1362	199	4	r(sλ	r(sλ	PROPN
ejpam-1362	199	5	)	)	PUNCT
ejpam-1362	200	1	;	;	PUNCT
ejpam-1362	200	2	(	(	PUNCT
ejpam-1362	200	3	c	c	X
ejpam-1362	200	4	)	)	PUNCT
ejpam-1362	200	5	a	a	DET
ejpam-1362	200	6	model	model	NOUN
ejpam-1362	200	7	selector	selector	NOUN
ejpam-1362	200	8	of	of	ADP
ejpam-1362	200	9	[	[	X
ejpam-1362	200	10	23	23	NUM
ejpam-1362	200	11	]	]	PUNCT
ejpam-1362	200	12	;	;	PUNCT
ejpam-1362	200	13	sh(λ	sh(λ	NUM
ejpam-1362	200	14	)	)	PUNCT
ejpam-1362	200	15	=	=	SYM
ejpam-1362	200	16	1	1	NUM
ejpam-1362	200	17	n	n	X
ejpam-1362	200	18	�	�	NOUN
ejpam-1362	201	1	i	i	PRON
ejpam-1362	201	2	−	−	VERB
ejpam-1362	201	3	sλ	sλ	NOUN
ejpam-1362	201	4	�	�	PROPN
ejpam-1362	201	5	y	y	PROPN
ejpam-1362	201	6	2	2	NUM
ejpam-1362	201	7	�	�	PROPN
ejpam-1362	201	8	1−	1−	NUM
ejpam-1362	201	9	n−12	n−12	PROPN
ejpam-1362	201	10	t	t	PROPN
ejpam-1362	201	11	r(sλ	r(sλ	PROPN
ejpam-1362	201	12	)	)	PUNCT
ejpam-1362	201	13	�	�	PROPN
ejpam-1362	201	14	(	(	PUNCT
ejpam-1362	201	15	d	d	NOUN
ejpam-1362	201	16	)	)	PUNCT
ejpam-1362	201	17	rice	rice	PROPN
ejpam-1362	201	18	’s	’s	PART
ejpam-1362	201	19	t	t	PROPN
ejpam-1362	201	20	criterion	criterion	NOUN
ejpam-1362	201	21	[	[	X
ejpam-1362	201	22	19	19	NUM
ejpam-1362	201	23	]	]	X
ejpam-1362	201	24	;	;	PUNCT
ejpam-1362	201	25	t	t	PROPN
ejpam-1362	201	26	(	(	PUNCT
ejpam-1362	201	27	λ	λ	NOUN
ejpam-1362	201	28	)	)	PUNCT
ejpam-1362	201	29	=	=	SYM
ejpam-1362	202	1	1	1	NUM
ejpam-1362	202	2	n	n	X
ejpam-1362	202	3	�	�	NOUN
ejpam-1362	203	1	i	i	PRON
ejpam-1362	203	2	−	−	VERB
ejpam-1362	203	3	sλ	sλ	NOUN
ejpam-1362	203	4	�	�	PROPN
ejpam-1362	203	5	y	y	PROPN
ejpam-1362	203	6	2	2	PROPN
ejpam-1362	203	7	/	/	SYM
ejpam-1362	203	8	�	�	PROPN
ejpam-1362	203	9	1−	1−	NUM
ejpam-1362	203	10	n−12	n−12	PROPN
ejpam-1362	203	11	t	t	PROPN
ejpam-1362	203	12	r(sλ	r(sλ	PROPN
ejpam-1362	203	13	)	)	PUNCT
ejpam-1362	203	14	�	�	PROPN
ejpam-1362	203	15	d.	d.	PROPN
ejpam-1362	203	16	aydin	aydin	PROPN
ejpam-1362	203	17	,	,	PUNCT
ejpam-1362	203	18	m.	m.	NOUN
ejpam-1362	203	19	memmedli	memmedli	PROPN
ejpam-1362	203	20	,	,	PUNCT
ejpam-1362	203	21	r.	r.	PROPN
ejpam-1362	203	22	omay	omay	PROPN
ejpam-1362	203	23	/	/	SYM
ejpam-1362	203	24	eur	eur	PROPN
ejpam-1362	203	25	.	.	PUNCT
ejpam-1362	204	1	j.	j.	PROPN
ejpam-1362	204	2	pure	pure	PROPN
ejpam-1362	204	3	appl	appl	PROPN
ejpam-1362	204	4	.	.	PROPN
ejpam-1362	204	5	math	math	PROPN
ejpam-1362	204	6	,	,	PUNCT
ejpam-1362	204	7	6	6	NUM
ejpam-1362	204	8	(	(	PUNCT
ejpam-1362	204	9	2013	2013	NUM
ejpam-1362	204	10	)	)	PUNCT
ejpam-1362	204	11	,	,	PUNCT
ejpam-1362	204	12	222	222	NUM
ejpam-1362	204	13	-	-	SYM
ejpam-1362	204	14	238	238	NUM
ejpam-1362	204	15	229	229	NUM
ejpam-1362	204	16	(	(	PUNCT
ejpam-1362	204	17	e	e	NOUN
ejpam-1362	204	18	)	)	PUNCT
ejpam-1362	204	19	a	a	DET
ejpam-1362	204	20	generalization	generalization	NOUN
ejpam-1362	204	21	of	of	ADP
ejpam-1362	204	22	the	the	DET
ejpam-1362	204	23	maximum	maximum	ADJ
ejpam-1362	204	24	likelihood	likelihood	NOUN
ejpam-1362	204	25	(	(	PUNCT
ejpam-1362	204	26	glm	glm	PROPN
ejpam-1362	204	27	)	)	PUNCT
ejpam-1362	204	28	,	,	PUNCT
ejpam-1362	204	29	glm(λ	glm(λ	PROPN
ejpam-1362	204	30	)	)	PUNCT
ejpam-1362	204	31	=	=	SYM
ejpam-1362	204	32	y	y	PROPN
ejpam-1362	204	33	′	′	NUM
ejpam-1362	204	34	�	�	PROPN
ejpam-1362	205	1	i	i	PRON
ejpam-1362	205	2	−	−	VERB
ejpam-1362	205	3	sλ	sλ	NOUN
ejpam-1362	205	4	�	�	PROPN
ejpam-1362	205	5	y/	y/	NOUN
ejpam-1362	205	6	�	�	PROPN
ejpam-1362	206	1	det+	det+	VERB
ejpam-1362	206	2	�	�	PROPN
ejpam-1362	207	1	i	i	PRON
ejpam-1362	207	2	−	−	PROPN
ejpam-1362	207	3	sλ	sλ	NOUN
ejpam-1362	207	4	�	�	PROPN
ejpam-1362	207	5	�	�	PROPN
ejpam-1362	207	6	1	1	NUM
ejpam-1362	207	7	/	/	SYM
ejpam-1362	207	8	n−m	n−m	PROPN
ejpam-1362	207	9	;	;	PUNCT
ejpam-1362	208	1	where	where	SCONJ
ejpam-1362	208	2	det+	det+	ADJ
ejpam-1362	208	3	�	�	PROPN
ejpam-1362	209	1	i	i	PRON
ejpam-1362	209	2	−	−	PROPN
ejpam-1362	209	3	sλ	sλ	NOUN
ejpam-1362	209	4	�	�	PROPN
ejpam-1362	209	5	is	be	AUX
ejpam-1362	209	6	the	the	DET
ejpam-1362	209	7	product	product	NOUN
ejpam-1362	209	8	of	of	ADP
ejpam-1362	209	9	n−m	n−m	PROPN
ejpam-1362	209	10	nonzero	nonzero	PROPN
ejpam-1362	209	11	eigenvalues	eigenvalue	VERB
ejpam-1362	209	12	of	of	ADP
ejpam-1362	209	13	�	�	PROPN
ejpam-1362	210	1	i	i	PRON
ejpam-1362	210	2	−	−	PROPN
ejpam-1362	210	3	sλ	sλ	NOUN
ejpam-1362	210	4	�	�	PROPN
ejpam-1362	210	5	.	.	PUNCT
ejpam-1362	211	1	(	(	PUNCT
ejpam-1362	211	2	f	f	X
ejpam-1362	211	3	)	)	PUNCT
ejpam-1362	211	4	average	average	ADJ
ejpam-1362	211	5	squared	square	VERB
ejpam-1362	211	6	residual	residual	ADJ
ejpam-1362	211	7	,	,	PUNCT
ejpam-1362	211	8	asr(λ	asr(λ	PROPN
ejpam-1362	211	9	)	)	PUNCT
ejpam-1362	211	10	=	=	SYM
ejpam-1362	211	11	1	1	NUM
ejpam-1362	211	12	n	n	NUM
ejpam-1362	211	13	n	n	NOUN
ejpam-1362	211	14	∑	∑	PROPN
ejpam-1362	211	15	i=1	i=1	PROPN
ejpam-1362	211	16	¦	¦	PROPN
ejpam-1362	211	17	yi	yi	PROPN
ejpam-1362	212	1	−	−	PROPN
ejpam-1362	212	2	f̂λ(x	f̂λ(x	PROPN
ejpam-1362	213	1	i	i	NOUN
ejpam-1362	213	2	)	)	PUNCT
ejpam-1362	214	1	©	©	PROPN
ejpam-1362	214	2	2	2	NUM
ejpam-1362	214	3	.	.	PUNCT
ejpam-1362	214	4	4	4	X
ejpam-1362	214	5	.	.	X
ejpam-1362	214	6	simulation	simulation	NOUN
ejpam-1362	214	7	study	study	VERB
ejpam-1362	214	8	this	this	DET
ejpam-1362	214	9	section	section	NOUN
ejpam-1362	214	10	reports	report	VERB
ejpam-1362	214	11	the	the	DET
ejpam-1362	214	12	results	result	NOUN
ejpam-1362	214	13	of	of	ADP
ejpam-1362	214	14	a	a	DET
ejpam-1362	214	15	monte	monte	PROPN
ejpam-1362	214	16	carlo	carlo	PROPN
ejpam-1362	214	17	simulation	simulation	PROPN
ejpam-1362	214	18	study	study	PROPN
ejpam-1362	214	19	.	.	PUNCT
ejpam-1362	215	1	this	this	DET
ejpam-1362	215	2	study	study	NOUN
ejpam-1362	215	3	was	be	AUX
ejpam-1362	215	4	conducted	conduct	VERB
ejpam-1362	215	5	to	to	PART
ejpam-1362	215	6	evaluate	evaluate	VERB
ejpam-1362	215	7	the	the	DET
ejpam-1362	215	8	performances	performance	NOUN
ejpam-1362	215	9	of	of	ADP
ejpam-1362	215	10	the	the	DET
ejpam-1362	215	11	nine	nine	NUM
ejpam-1362	215	12	selection	selection	NOUN
ejpam-1362	215	13	methods	method	NOUN
ejpam-1362	215	14	mentioned	mention	VERB
ejpam-1362	215	15	above	above	ADV
ejpam-1362	215	16	.	.	PUNCT
ejpam-1362	216	1	the	the	DET
ejpam-1362	216	2	experimental	experimental	ADJ
ejpam-1362	216	3	setup	setup	NOUN
ejpam-1362	216	4	in	in	ADP
ejpam-1362	216	5	this	this	DET
ejpam-1362	216	6	paper	paper	NOUN
ejpam-1362	216	7	is	be	AUX
ejpam-1362	216	8	adopted	adopt	VERB
ejpam-1362	216	9	from	from	ADP
ejpam-1362	216	10	professor	professor	PROPN
ejpam-1362	216	11	steve	steve	PROPN
ejpam-1362	216	12	marron	marron	PROPN
ejpam-1362	216	13	.	.	PUNCT
ejpam-1362	217	1	by	by	ADP
ejpam-1362	217	2	using	use	VERB
ejpam-1362	217	3	a	a	DET
ejpam-1362	217	4	program	program	NOUN
ejpam-1362	217	5	coded	code	VERB
ejpam-1362	217	6	in	in	ADP
ejpam-1362	217	7	matlab	matlab	PROPN
ejpam-1362	217	8	,	,	PUNCT
ejpam-1362	217	9	we	we	PRON
ejpam-1362	217	10	generated	generate	VERB
ejpam-1362	217	11	the	the	DET
ejpam-1362	217	12	samples	sample	NOUN
ejpam-1362	217	13	sized	size	VERB
ejpam-1362	217	14	n	n	NOUN
ejpam-1362	217	15	=	=	NOUN
ejpam-1362	217	16	25,50,100,150,200,350,400	25,50,100,150,200,350,400	NOUN
ejpam-1362	217	17	.	.	PUNCT
ejpam-1362	218	1	the	the	DET
ejpam-1362	218	2	number	number	NOUN
ejpam-1362	218	3	of	of	ADP
ejpam-1362	218	4	replications	replication	NOUN
ejpam-1362	218	5	was	be	AUX
ejpam-1362	218	6	500	500	NUM
ejpam-1362	218	7	for	for	ADP
ejpam-1362	218	8	each	each	PRON
ejpam-1362	218	9	of	of	ADP
ejpam-1362	218	10	the	the	DET
ejpam-1362	218	11	samples	sample	NOUN
ejpam-1362	218	12	.	.	PUNCT
ejpam-1362	219	1	for	for	ADP
ejpam-1362	219	2	each	each	DET
ejpam-1362	219	3	simulated	simulate	VERB
ejpam-1362	219	4	data	data	NOUN
ejpam-1362	219	5	sets	set	NOUN
ejpam-1362	219	6	,	,	PUNCT
ejpam-1362	219	7	the	the	DET
ejpam-1362	219	8	mean	mean	ADJ
ejpam-1362	219	9	squared	square	VERB
ejpam-1362	219	10	-	-	PUNCT
ejpam-1362	219	11	errors	error	NOUN
ejpam-1362	219	12	(	(	PUNCT
ejpam-1362	219	13	mse	mse	NOUN
ejpam-1362	219	14	)	)	PUNCT
ejpam-1362	219	15	was	be	AUX
ejpam-1362	219	16	used	use	VERB
ejpam-1362	219	17	for	for	ADP
ejpam-1362	219	18	evaluate	evaluate	VERB
ejpam-1362	219	19	the	the	DET
ejpam-1362	219	20	quality	quality	NOUN
ejpam-1362	219	21	of	of	ADP
ejpam-1362	219	22	any	any	DET
ejpam-1362	219	23	curve	curve	NOUN
ejpam-1362	219	24	estimate	estimate	NOUN
ejpam-1362	219	25	f̂	f̂	PROPN
ejpam-1362	219	26	.	.	PUNCT
ejpam-1362	220	1	to	to	PART
ejpam-1362	220	2	find	find	VERB
ejpam-1362	220	3	out	out	ADP
ejpam-1362	220	4	if	if	SCONJ
ejpam-1362	220	5	the	the	DET
ejpam-1362	220	6	difference	difference	NOUN
ejpam-1362	220	7	between	between	ADP
ejpam-1362	220	8	the	the	DET
ejpam-1362	220	9	mse	mse	ADJ
ejpam-1362	220	10	median	median	ADJ
ejpam-1362	220	11	values	value	NOUN
ejpam-1362	220	12	of	of	ADP
ejpam-1362	220	13	any	any	DET
ejpam-1362	220	14	two	two	NUM
ejpam-1362	220	15	selection	selection	NOUN
ejpam-1362	220	16	methods	method	NOUN
ejpam-1362	220	17	is	be	AUX
ejpam-1362	220	18	significant	significant	ADJ
ejpam-1362	220	19	or	or	CCONJ
ejpam-1362	220	20	not	not	PART
ejpam-1362	220	21	,	,	PUNCT
ejpam-1362	220	22	the	the	DET
ejpam-1362	220	23	paired	pair	VERB
ejpam-1362	220	24	wilcoxon	wilcoxon	ADJ
ejpam-1362	220	25	tests	test	NOUN
ejpam-1362	220	26	were	be	AUX
ejpam-1362	220	27	assessed	assess	VERB
ejpam-1362	220	28	.	.	PUNCT
ejpam-1362	221	1	in	in	ADP
ejpam-1362	221	2	this	this	DET
ejpam-1362	221	3	way	way	NOUN
ejpam-1362	221	4	,	,	PUNCT
ejpam-1362	221	5	methods	method	NOUN
ejpam-1362	221	6	which	which	PRON
ejpam-1362	221	7	complement	complement	VERB
ejpam-1362	221	8	the	the	DET
ejpam-1362	221	9	best	good	ADJ
ejpam-1362	221	10	smoothing	smoothing	NOUN
ejpam-1362	221	11	parameter	parameter	NOUN
ejpam-1362	221	12	were	be	AUX
ejpam-1362	221	13	determined	determine	VERB
ejpam-1362	221	14	by	by	ADP
ejpam-1362	221	15	evaluating	evaluate	VERB
ejpam-1362	221	16	so	so	ADV
ejpam-1362	221	17	-	-	PUNCT
ejpam-1362	221	18	called	call	VERB
ejpam-1362	221	19	selection	selection	NOUN
ejpam-1362	221	20	methods	method	NOUN
ejpam-1362	221	21	.	.	PUNCT
ejpam-1362	222	1	4.1	4.1	NUM
ejpam-1362	222	2	.	.	PUNCT
ejpam-1362	222	3	experimental	experimental	ADJ
ejpam-1362	222	4	plan	plan	NOUN
ejpam-1362	222	5	and	and	CCONJ
ejpam-1362	222	6	generation	generation	NOUN
ejpam-1362	222	7	of	of	ADP
ejpam-1362	222	8	the	the	DET
ejpam-1362	222	9	data	datum	NOUN
ejpam-1362	222	10	the	the	DET
ejpam-1362	222	11	experimental	experimental	ADJ
ejpam-1362	222	12	setup	setup	NOUN
ejpam-1362	222	13	applied	apply	VERB
ejpam-1362	222	14	at	at	ADP
ejpam-1362	222	15	this	this	DET
ejpam-1362	222	16	stage	stage	NOUN
ejpam-1362	222	17	was	be	AUX
ejpam-1362	222	18	designed	design	VERB
ejpam-1362	222	19	to	to	PART
ejpam-1362	222	20	study	study	VERB
ejpam-1362	222	21	the	the	DET
ejpam-1362	222	22	effects	effect	NOUN
ejpam-1362	222	23	of	of	ADP
ejpam-1362	222	24	the	the	DET
ejpam-1362	222	25	following	follow	VERB
ejpam-1362	222	26	three	three	NUM
ejpam-1362	222	27	factors	factor	NOUN
ejpam-1362	222	28	which	which	PRON
ejpam-1362	222	29	vary	vary	VERB
ejpam-1362	222	30	an	an	DET
ejpam-1362	222	31	independent	independent	ADJ
ejpam-1362	222	32	and	and	CCONJ
ejpam-1362	222	33	effective	effective	ADJ
ejpam-1362	222	34	approach	approach	NOUN
ejpam-1362	222	35	:	:	PUNCT
ejpam-1362	222	36	noise	noise	NOUN
ejpam-1362	222	37	level	level	NOUN
ejpam-1362	222	38	;	;	PUNCT
ejpam-1362	222	39	spatial	spatial	ADJ
ejpam-1362	222	40	variation	variation	NOUN
ejpam-1362	222	41	;	;	PUNCT
ejpam-1362	222	42	variance	variance	NOUN
ejpam-1362	222	43	function	function	NOUN
ejpam-1362	222	44	.	.	PUNCT
ejpam-1362	223	1	the	the	DET
ejpam-1362	223	2	setup	setup	NOUN
ejpam-1362	223	3	specification	specification	NOUN
ejpam-1362	223	4	is	be	AUX
ejpam-1362	223	5	listed	list	VERB
ejpam-1362	223	6	table	table	NOUN
ejpam-1362	223	7	1	1	NUM
ejpam-1362	223	8	.	.	PUNCT
ejpam-1362	224	1	the	the	DET
ejpam-1362	224	2	simulation	simulation	NOUN
ejpam-1362	224	3	study	study	NOUN
ejpam-1362	224	4	was	be	AUX
ejpam-1362	224	5	performed	perform	VERB
ejpam-1362	224	6	according	accord	VERB
ejpam-1362	224	7	to	to	ADP
ejpam-1362	224	8	matlab	matlab	PROPN
ejpam-1362	224	9	program	program	NOUN
ejpam-1362	224	10	,	,	PUNCT
ejpam-1362	224	11	and	and	CCONJ
ejpam-1362	224	12	the	the	DET
ejpam-1362	224	13	experimental	experimental	ADJ
ejpam-1362	224	14	setup	setup	NOUN
ejpam-1362	224	15	was	be	AUX
ejpam-1362	224	16	designed	design	VERB
ejpam-1362	224	17	in	in	ADP
ejpam-1362	224	18	the	the	DET
ejpam-1362	224	19	following	follow	VERB
ejpam-1362	224	20	framework	framework	NOUN
ejpam-1362	224	21	:	:	PUNCT
ejpam-1362	224	22	•	•	NUM
ejpam-1362	224	23	totally	totally	ADV
ejpam-1362	224	24	three	three	NUM
ejpam-1362	224	25	sets	set	NOUN
ejpam-1362	224	26	of	of	ADP
ejpam-1362	224	27	numerical	numerical	ADJ
ejpam-1362	224	28	experiments	experiment	NOUN
ejpam-1362	224	29	were	be	AUX
ejpam-1362	224	30	performed	perform	VERB
ejpam-1362	224	31	.	.	PUNCT
ejpam-1362	225	1	for	for	ADP
ejpam-1362	225	2	each	each	DET
ejpam-1362	225	3	set	set	NOUN
ejpam-1362	225	4	of	of	ADP
ejpam-1362	225	5	experiments	experiment	NOUN
ejpam-1362	225	6	,	,	PUNCT
ejpam-1362	225	7	only	only	ADV
ejpam-1362	225	8	one	one	NUM
ejpam-1362	225	9	of	of	ADP
ejpam-1362	225	10	the	the	DET
ejpam-1362	225	11	above	above	ADJ
ejpam-1362	225	12	three	three	NUM
ejpam-1362	225	13	experimental	experimental	ADJ
ejpam-1362	225	14	factors	factor	NOUN
ejpam-1362	225	15	(	(	PUNCT
ejpam-1362	225	16	e.g.	e.g.	ADV
ejpam-1362	225	17	,	,	PUNCT
ejpam-1362	225	18	noise	noise	NOUN
ejpam-1362	225	19	level	level	NOUN
ejpam-1362	225	20	,	,	PUNCT
ejpam-1362	225	21	degree	degree	NOUN
ejpam-1362	225	22	of	of	ADP
ejpam-1362	225	23	spatial	spatial	ADJ
ejpam-1362	225	24	variation	variation	NOUN
ejpam-1362	225	25	and	and	CCONJ
ejpam-1362	225	26	noise	noise	NOUN
ejpam-1362	225	27	variance	variance	NOUN
ejpam-1362	225	28	function	function	NOUN
ejpam-1362	225	29	)	)	PUNCT
ejpam-1362	225	30	has	have	AUX
ejpam-1362	225	31	been	be	AUX
ejpam-1362	225	32	altered	alter	VERB
ejpam-1362	225	33	while	while	SCONJ
ejpam-1362	225	34	the	the	DET
ejpam-1362	225	35	remaining	remain	VERB
ejpam-1362	225	36	two	two	NUM
ejpam-1362	225	37	have	have	AUX
ejpam-1362	225	38	been	be	AUX
ejpam-1362	225	39	kept	keep	VERB
ejpam-1362	225	40	unchanged	unchanged	ADJ
ejpam-1362	225	41	.	.	PUNCT
ejpam-1362	226	1	•	•	NOUN
ejpam-1362	226	2	within	within	ADP
ejpam-1362	226	3	each	each	DET
ejpam-1362	226	4	set	set	NOUN
ejpam-1362	226	5	of	of	ADP
ejpam-1362	226	6	experiments	experiment	NOUN
ejpam-1362	226	7	,	,	PUNCT
ejpam-1362	226	8	the	the	DET
ejpam-1362	226	9	factor	factor	NOUN
ejpam-1362	226	10	levels	level	NOUN
ejpam-1362	226	11	was	be	AUX
ejpam-1362	226	12	modified	modify	VERB
ejpam-1362	226	13	four	four	NUM
ejpam-1362	226	14	times	time	NOUN
ejpam-1362	226	15	(	(	PUNCT
ejpam-1362	226	16	i.e.	i.e.	X
ejpam-1362	226	17	,	,	PUNCT
ejpam-1362	226	18	r	r	NOUN
ejpam-1362	226	19	=	=	SYM
ejpam-1362	226	20	1,2,3,4	1,2,3,4	NUM
ejpam-1362	226	21	)	)	PUNCT
ejpam-1362	226	22	to	to	PART
ejpam-1362	226	23	detect	detect	VERB
ejpam-1362	226	24	the	the	DET
ejpam-1362	226	25	effects	effect	NOUN
ejpam-1362	226	26	of	of	ADP
ejpam-1362	226	27	any	any	DET
ejpam-1362	226	28	experimental	experimental	ADJ
ejpam-1362	226	29	factor	factor	NOUN
ejpam-1362	226	30	in	in	ADP
ejpam-1362	226	31	table	table	NOUN
ejpam-1362	226	32	1	1	NUM
ejpam-1362	226	33	.	.	NOUN
ejpam-1362	226	34	•	•	NOUN
ejpam-1362	226	35	to	to	PART
ejpam-1362	226	36	see	see	VERB
ejpam-1362	226	37	the	the	DET
ejpam-1362	226	38	performance	performance	NOUN
ejpam-1362	226	39	of	of	ADP
ejpam-1362	226	40	the	the	DET
ejpam-1362	226	41	small	small	ADJ
ejpam-1362	226	42	and	and	CCONJ
ejpam-1362	226	43	large	large	ADJ
ejpam-1362	226	44	samples	sample	NOUN
ejpam-1362	226	45	of	of	ADP
ejpam-1362	226	46	the	the	DET
ejpam-1362	226	47	selection	selection	NOUN
ejpam-1362	226	48	methods	method	NOUN
ejpam-1362	226	49	.	.	PUNCT
ejpam-1362	227	1	for	for	ADP
ejpam-1362	227	2	each	each	DET
ejpam-1362	227	3	factor	factor	NOUN
ejpam-1362	227	4	level	level	NOUN
ejpam-1362	227	5	r	r	NOUN
ejpam-1362	227	6	within	within	ADP
ejpam-1362	227	7	each	each	DET
ejpam-1362	227	8	set	set	NOUN
ejpam-1362	227	9	of	of	ADP
ejpam-1362	227	10	experiments	experiment	NOUN
ejpam-1362	227	11	,	,	PUNCT
ejpam-1362	227	12	we	we	PRON
ejpam-1362	227	13	generated	generate	VERB
ejpam-1362	227	14	7	7	NUM
ejpam-1362	227	15	different	different	ADJ
ejpam-1362	227	16	samples	sample	NOUN
ejpam-1362	227	17	with	with	ADP
ejpam-1362	227	18	sample	sample	NOUN
ejpam-1362	227	19	sizes	size	NOUN
ejpam-1362	227	20	n=	n=	ADJ
ejpam-1362	227	21	25,50,100,150,200,350,400	25,50,100,150,200,350,400	NOUN
ejpam-1362	227	22	.	.	PUNCT
ejpam-1362	228	1	•	•	NOUN
ejpam-1362	228	2	the	the	DET
ejpam-1362	228	3	number	number	NOUN
ejpam-1362	228	4	of	of	ADP
ejpam-1362	228	5	replications	replication	NOUN
ejpam-1362	228	6	was	be	AUX
ejpam-1362	228	7	500	500	NUM
ejpam-1362	228	8	for	for	ADP
ejpam-1362	228	9	each	each	PRON
ejpam-1362	228	10	of	of	ADP
ejpam-1362	228	11	the	the	DET
ejpam-1362	228	12	84	84	NUM
ejpam-1362	228	13	numerical	numerical	ADJ
ejpam-1362	228	14	experiments	experiment	NOUN
ejpam-1362	228	15	.	.	PUNCT
ejpam-1362	229	1	d.	d.	PROPN
ejpam-1362	229	2	aydin	aydin	PROPN
ejpam-1362	229	3	,	,	PUNCT
ejpam-1362	229	4	m.	m.	NOUN
ejpam-1362	229	5	memmedli	memmedli	PROPN
ejpam-1362	229	6	,	,	PUNCT
ejpam-1362	229	7	r.	r.	PROPN
ejpam-1362	229	8	omay	omay	PROPN
ejpam-1362	229	9	/	/	SYM
ejpam-1362	229	10	eur	eur	PROPN
ejpam-1362	229	11	.	.	PUNCT
ejpam-1362	230	1	j.	j.	PROPN
ejpam-1362	230	2	pure	pure	PROPN
ejpam-1362	230	3	appl	appl	PROPN
ejpam-1362	230	4	.	.	PROPN
ejpam-1362	230	5	math	math	PROPN
ejpam-1362	230	6	,	,	PUNCT
ejpam-1362	230	7	6	6	NUM
ejpam-1362	230	8	(	(	PUNCT
ejpam-1362	230	9	2013	2013	NUM
ejpam-1362	230	10	)	)	PUNCT
ejpam-1362	230	11	,	,	PUNCT
ejpam-1362	230	12	222	222	NUM
ejpam-1362	230	13	-	-	SYM
ejpam-1362	230	14	238	238	NUM
ejpam-1362	230	15	230	230	NUM
ejpam-1362	230	16	•	•	NOUN
ejpam-1362	230	17	we	we	PRON
ejpam-1362	230	18	computed	compute	VERB
ejpam-1362	230	19	the	the	DET
ejpam-1362	230	20	appropriate	appropriate	ADJ
ejpam-1362	230	21	smoothing	smooth	VERB
ejpam-1362	230	22	spline	spline	NOUN
ejpam-1362	230	23	estimators	estimator	NOUN
ejpam-1362	230	24	f̂λ	f̂λ	VERB
ejpam-1362	230	25	in	in	ADP
ejpam-1362	230	26	equality	equality	NOUN
ejpam-1362	230	27	(	(	PUNCT
ejpam-1362	230	28	3	3	NUM
ejpam-1362	230	29	)	)	PUNCT
ejpam-1362	230	30	by	by	ADP
ejpam-1362	230	31	selecting	select	VERB
ejpam-1362	230	32	the	the	DET
ejpam-1362	230	33	smoothing	smoothing	NOUN
ejpam-1362	230	34	parameter	parameter	NOUN
ejpam-1362	230	35	λ	λ	PROPN
ejpam-1362	230	36	which	which	PRON
ejpam-1362	230	37	minimizes	minimize	VERB
ejpam-1362	230	38	the	the	DET
ejpam-1362	230	39	selection	selection	NOUN
ejpam-1362	230	40	methods	method	NOUN
ejpam-1362	230	41	.	.	PUNCT
ejpam-1362	231	1	•	•	NOUN
ejpam-1362	231	2	we	we	PRON
ejpam-1362	231	3	used	use	VERB
ejpam-1362	231	4	the	the	DET
ejpam-1362	231	5	mse	mse	NOUN
ejpam-1362	231	6	values	value	NOUN
ejpam-1362	231	7	to	to	PART
ejpam-1362	231	8	evaluate	evaluate	VERB
ejpam-1362	231	9	f̂λ	f̂λ	NOUN
ejpam-1362	231	10	computed	compute	VERB
ejpam-1362	231	11	according	accord	VERB
ejpam-1362	231	12	to	to	ADP
ejpam-1362	231	13	each	each	PRON
ejpam-1362	231	14	of	of	ADP
ejpam-1362	231	15	the	the	DET
ejpam-1362	231	16	selection	selection	NOUN
ejpam-1362	231	17	criterion	criterion	NOUN
ejpam-1362	231	18	:	:	PUNCT
ejpam-1362	231	19	mse	mse	NOUN
ejpam-1362	231	20	=	=	SYM
ejpam-1362	231	21	1	1	NUM
ejpam-1362	231	22	n	n	NUM
ejpam-1362	231	23	n	n	NOUN
ejpam-1362	231	24	∑	∑	PROPN
ejpam-1362	231	25	i=1	i=1	PROPN
ejpam-1362	231	26	¦	¦	PROPN
ejpam-1362	231	27	f	f	X
ejpam-1362	231	28	(	(	PUNCT
ejpam-1362	231	29	x	x	PROPN
ejpam-1362	231	30	i)−	i)−	PROPN
ejpam-1362	231	31	f̂λ(x	f̂λ(x	X
ejpam-1362	231	32	i	i	NOUN
ejpam-1362	231	33	)	)	PUNCT
ejpam-1362	232	1	©	©	PROPN
ejpam-1362	232	2	2	2	NUM
ejpam-1362	232	3	,	,	PUNCT
ejpam-1362	232	4	(	(	PUNCT
ejpam-1362	232	5	f̂λ(x	f̂λ(x	X
ejpam-1362	232	6	i	i	NOUN
ejpam-1362	232	7	)	)	PUNCT
ejpam-1362	232	8	=	=	SYM
ejpam-1362	232	9	(	(	PUNCT
ejpam-1362	232	10	f̂λ)i	f̂λ)i	ADJ
ejpam-1362	232	11	)	)	PUNCT
ejpam-1362	232	12	,	,	PUNCT
ejpam-1362	232	13	(	(	PUNCT
ejpam-1362	232	14	where	where	SCONJ
ejpam-1362	232	15	f	f	X
ejpam-1362	232	16	(	(	PUNCT
ejpam-1362	232	17	x	x	PROPN
ejpam-1362	232	18	i	i	NOUN
ejpam-1362	232	19	)	)	PUNCT
ejpam-1362	232	20	is	be	AUX
ejpam-1362	232	21	value	value	NOUN
ejpam-1362	232	22	at	at	ADP
ejpam-1362	232	23	knots	knot	NOUN
ejpam-1362	232	24	x	x	VERB
ejpam-1362	232	25	i	i	NOUN
ejpam-1362	232	26	of	of	ADP
ejpam-1362	232	27	the	the	DET
ejpam-1362	232	28	appropriate	appropriate	ADJ
ejpam-1362	232	29	function	function	NOUN
ejpam-1362	232	30	f	f	PROPN
ejpam-1362	232	31	defined	define	VERB
ejpam-1362	232	32	in	in	ADP
ejpam-1362	232	33	table	table	NOUN
ejpam-1362	232	34	1	1	NUM
ejpam-1362	232	35	)	)	PUNCT
ejpam-1362	232	36	•	•	NOUN
ejpam-1362	232	37	paired	pair	VERB
ejpam-1362	232	38	wilcoxon	wilcoxon	ADJ
ejpam-1362	232	39	test	test	NOUN
ejpam-1362	232	40	was	be	AUX
ejpam-1362	232	41	applied	apply	VERB
ejpam-1362	232	42	to	to	PART
ejpam-1362	232	43	test	test	VERB
ejpam-1362	232	44	whether	whether	SCONJ
ejpam-1362	232	45	mse	mse	NOUN
ejpam-1362	232	46	values	value	NOUN
ejpam-1362	232	47	was	be	AUX
ejpam-1362	232	48	considered	consider	VERB
ejpam-1362	232	49	as	as	SCONJ
ejpam-1362	232	50	the	the	DET
ejpam-1362	232	51	performance	performance	NOUN
ejpam-1362	232	52	measure	measure	NOUN
ejpam-1362	232	53	of	of	ADP
ejpam-1362	232	54	any	any	DET
ejpam-1362	232	55	two	two	NUM
ejpam-1362	232	56	methods	method	NOUN
ejpam-1362	232	57	are	be	AUX
ejpam-1362	232	58	significant	significant	ADJ
ejpam-1362	232	59	or	or	CCONJ
ejpam-1362	232	60	not	not	PART
ejpam-1362	232	61	.	.	PUNCT
ejpam-1362	233	1	•	•	NUM
ejpam-1362	233	2	the	the	DET
ejpam-1362	233	3	factor	factor	NOUN
ejpam-1362	233	4	levels	level	NOUN
ejpam-1362	233	5	indicated	indicate	VERB
ejpam-1362	233	6	as	as	SCONJ
ejpam-1362	233	7	r	r	NOUN
ejpam-1362	233	8	was	be	AUX
ejpam-1362	233	9	changed	change	VERB
ejpam-1362	233	10	four	four	NUM
ejpam-1362	233	11	times	time	NOUN
ejpam-1362	233	12	(	(	PUNCT
ejpam-1362	233	13	i.e.	i.e.	X
ejpam-1362	233	14	,	,	PUNCT
ejpam-1362	234	1	r	r	NOUN
ejpam-1362	234	2	=	=	SYM
ejpam-1362	234	3	1,2,3,4	1,2,3,4	NUM
ejpam-1362	234	4	)	)	PUNCT
ejpam-1362	234	5	in	in	ADP
ejpam-1362	234	6	order	order	NOUN
ejpam-1362	234	7	to	to	PART
ejpam-1362	234	8	detect	detect	VERB
ejpam-1362	234	9	the	the	DET
ejpam-1362	234	10	effects	effect	NOUN
ejpam-1362	234	11	of	of	ADP
ejpam-1362	234	12	any	any	DET
ejpam-1362	234	13	factor	factor	NOUN
ejpam-1362	234	14	from	from	ADP
ejpam-1362	234	15	three	three	NUM
ejpam-1362	234	16	factors	factor	NOUN
ejpam-1362	234	17	in	in	ADP
ejpam-1362	234	18	table	table	NOUN
ejpam-1362	234	19	1	1	NUM
ejpam-1362	234	20	.	.	NOUN
ejpam-1362	234	21	•	•	NUM
ejpam-1362	234	22	by	by	ADP
ejpam-1362	234	23	considering	consider	VERB
ejpam-1362	234	24	3	3	NUM
ejpam-1362	234	25	factors	factor	NOUN
ejpam-1362	234	26	,	,	PUNCT
ejpam-1362	234	27	4	4	NUM
ejpam-1362	234	28	factor	factor	NOUN
ejpam-1362	234	29	levels	level	NOUN
ejpam-1362	234	30	and	and	CCONJ
ejpam-1362	234	31	7	7	NUM
ejpam-1362	234	32	samples	sample	NOUN
ejpam-1362	234	33	,	,	PUNCT
ejpam-1362	234	34	totally	totally	ADV
ejpam-1362	234	35	,	,	PUNCT
ejpam-1362	234	36	84	84	NUM
ejpam-1362	234	37	numerical	numerical	ADJ
ejpam-1362	234	38	experiments	experiment	NOUN
ejpam-1362	234	39	were	be	AUX
ejpam-1362	234	40	conducted	conduct	VERB
ejpam-1362	234	41	.	.	PUNCT
ejpam-1362	235	1	table	table	NOUN
ejpam-1362	235	2	1	1	NUM
ejpam-1362	235	3	:	:	PUNCT
ejpam-1362	235	4	averaged	average	VERB
ejpam-1362	235	5	wilcoxon	wilcoxon	ADJ
ejpam-1362	235	6	test	test	NOUN
ejpam-1362	235	7	ranking	rank	VERB
ejpam-1362	235	8	values	value	NOUN
ejpam-1362	235	9	for	for	ADP
ejpam-1362	235	10	the	the	DET
ejpam-1362	235	11	nine	nine	NUM
ejpam-1362	235	12	selection	selection	NOUN
ejpam-1362	235	13	methods	method	NOUN
ejpam-1362	235	14	in	in	ADP
ejpam-1362	235	15	small	small	ADJ
ejpam-1362	235	16	sample	sample	NOUN
ejpam-1362	235	17	sizes	size	NOUN
ejpam-1362	235	18	factors	factor	VERB
ejpam-1362	235	19	generic	generic	ADJ
ejpam-1362	235	20	form	form	NOUN
ejpam-1362	235	21	particular	particular	ADJ
ejpam-1362	235	22	choices	choice	NOUN
ejpam-1362	235	23	noise	noise	NOUN
ejpam-1362	235	24	level	level	NOUN
ejpam-1362	236	1	yir	yir	NOUN
ejpam-1362	236	2	=	=	SYM
ejpam-1362	236	3	f	f	PROPN
ejpam-1362	236	4	(	(	PUNCT
ejpam-1362	236	5	x	x	PROPN
ejpam-1362	236	6	i	i	NOUN
ejpam-1362	236	7	)	)	PUNCT
ejpam-1362	237	1	+	+	VERB
ejpam-1362	237	2	σrεi	σrεi	VERB
ejpam-1362	237	3	factors	factor	NOUN
ejpam-1362	237	4	spatial	spatial	ADJ
ejpam-1362	237	5	variation	variation	NOUN
ejpam-1362	237	6	yir	yir	NOUN
ejpam-1362	237	7	=	=	SYM
ejpam-1362	237	8	f	f	PROPN
ejpam-1362	237	9	(	(	PUNCT
ejpam-1362	237	10	x	x	PROPN
ejpam-1362	237	11	i	i	NOUN
ejpam-1362	237	12	)	)	PUNCT
ejpam-1362	238	1	+	+	CCONJ
ejpam-1362	238	2	σrεi	σrεi	VERB
ejpam-1362	238	3	σ	σ	NOUN
ejpam-1362	238	4	=	=	SYM
ejpam-1362	238	5	0.2	0.2	NUM
ejpam-1362	238	6	,	,	PUNCT
ejpam-1362	238	7	fr(x	fr(x	X
ejpam-1362	238	8	)	)	PUNCT
ejpam-1362	238	9	=	=	PUNCT
ejpam-1362	239	1	p	p	NOUN
ejpam-1362	239	2	x(1−	x(1−	PROPN
ejpam-1362	239	3	x	x	X
ejpam-1362	239	4	)	)	PUNCT
ejpam-1362	239	5	sin	sin	NOUN
ejpam-1362	239	6	�	�	NOUN
ejpam-1362	239	7	2π{1	2π{1	NUM
ejpam-1362	239	8	+	+	NOUN
ejpam-1362	239	9	2(9−4r)/5	2(9−4r)/5	NUM
ejpam-1362	239	10	}	}	PUNCT
ejpam-1362	239	11	x+2(9−4r)/5	x+2(9−4r)/5	PUNCT
ejpam-1362	239	12	�	�	PROPN
ejpam-1362	239	13	variance	variance	NOUN
ejpam-1362	239	14	function	function	VERB
ejpam-1362	239	15	yir	yir	PROPN
ejpam-1362	239	16	=	=	SYM
ejpam-1362	239	17	f	f	PROPN
ejpam-1362	239	18	(	(	PUNCT
ejpam-1362	239	19	x	x	PROPN
ejpam-1362	239	20	i	i	NOUN
ejpam-1362	239	21	)	)	PUNCT
ejpam-1362	240	1	+	+	CCONJ
ejpam-1362	240	2	p	p	X
ejpam-1362	240	3	vr(x	vr(x	X
ejpam-1362	240	4	i)εi	i)εi	PROPN
ejpam-1362	240	5	vr(x	vr(x	PUNCT
ejpam-1362	240	6	)	)	PUNCT
ejpam-1362	240	7	=	=	PUNCT
ejpam-1362	241	1	[	[	X
ejpam-1362	241	2	0.15{1	0.15{1	NOUN
ejpam-1362	241	3	+	+	X
ejpam-1362	241	4	0.4(2r	0.4(2r	NOUN
ejpam-1362	241	5	−	−	NUM
ejpam-1362	241	6	7)(x	7)(x	NUM
ejpam-1362	241	7	−	−	NOUN
ejpam-1362	241	8	0.5)}]2	0.5)}]2	NUM
ejpam-1362	241	9	r	r	NOUN
ejpam-1362	241	10	=	=	SYM
ejpam-1362	241	11	1	1	NUM
ejpam-1362	241	12	,	,	PUNCT
ejpam-1362	241	13	.	.	PUNCT
ejpam-1362	241	14	.	.	PUNCT
ejpam-1362	241	15	.	.	PUNCT
ejpam-1362	242	1	,	,	PUNCT
ejpam-1362	242	2	4	4	NUM
ejpam-1362	242	3	;	;	PUNCT
ejpam-1362	242	4	x	x	SYM
ejpam-1362	242	5	i	i	NOUN
ejpam-1362	242	6	=	=	PUNCT
ejpam-1362	242	7	i−0.5	i−0.5	PUNCT
ejpam-1362	242	8	n	n	NOUN
ejpam-1362	242	9	;	;	PUNCT
ejpam-1362	242	10	εi	εi	VERB
ejpam-1362	242	11	∼	∼	NOUN
ejpam-1362	242	12	iid	iid	NOUN
ejpam-1362	242	13	n(0,1	n(0,1	NOUN
ejpam-1362	242	14	)	)	PUNCT
ejpam-1362	242	15	;	;	PUNCT
ejpam-1362	242	16	f	f	PROPN
ejpam-1362	242	17	(	(	PUNCT
ejpam-1362	242	18	x	x	X
ejpam-1362	242	19	)	)	PUNCT
ejpam-1362	242	20	=	=	SYM
ejpam-1362	242	21	1.5θ	1.5θ	NUM
ejpam-1362	242	22	�	�	PROPN
ejpam-1362	242	23	x−0.35	x−0.35	PROPN
ejpam-1362	242	24	0.15	0.15	NUM
ejpam-1362	242	25	�	�	PROPN
ejpam-1362	242	26	−	−	NUM
ejpam-1362	242	27	θ	θ	PROPN
ejpam-1362	242	28	�	�	PROPN
ejpam-1362	242	29	x−0.8	x−0.8	NUM
ejpam-1362	242	30	0.04	0.04	NUM
ejpam-1362	242	31	�	�	NOUN
ejpam-1362	242	32	;	;	PUNCT
ejpam-1362	242	33	θ	θ	PROPN
ejpam-1362	242	34	(	(	PUNCT
ejpam-1362	242	35	u	u	NOUN
ejpam-1362	242	36	)	)	PUNCT
ejpam-1362	242	37	=	=	SYM
ejpam-1362	243	1	1p	1p	NUM
ejpam-1362	243	2	2π	2π	NUM
ejpam-1362	243	3	exp	exp	NOUN
ejpam-1362	243	4	�	�	NOUN
ejpam-1362	243	5	−u2	−u2	PROPN
ejpam-1362	243	6	2	2	NUM
ejpam-1362	243	7	�	�	PROPN
ejpam-1362	243	8	n=	n=	ADJ
ejpam-1362	243	9	25,50,100,200,350,400	25,50,100,200,350,400	NUM
ejpam-1362	243	10	(	(	PUNCT
ejpam-1362	243	11	it	it	PRON
ejpam-1362	243	12	was	be	AUX
ejpam-1362	243	13	taken	take	VERB
ejpam-1362	243	14	seven	seven	NUM
ejpam-1362	243	15	sample	sample	NOUN
ejpam-1362	243	16	size	size	NOUN
ejpam-1362	243	17	)	)	PUNCT
ejpam-1362	243	18	.	.	PUNCT
ejpam-1362	244	1	4.2	4.2	NUM
ejpam-1362	244	2	.	.	PUNCT
ejpam-1362	245	1	experimental	experimental	ADJ
ejpam-1362	245	2	evaluations	evaluation	NOUN
ejpam-1362	245	3	for	for	ADP
ejpam-1362	245	4	each	each	DET
ejpam-1362	245	5	simulated	simulate	VERB
ejpam-1362	245	6	data	datum	NOUN
ejpam-1362	245	7	set	set	VERB
ejpam-1362	245	8	used	use	VERB
ejpam-1362	245	9	in	in	ADP
ejpam-1362	245	10	the	the	DET
ejpam-1362	245	11	experiments	experiment	NOUN
ejpam-1362	245	12	,	,	PUNCT
ejpam-1362	245	13	the	the	DET
ejpam-1362	245	14	mse	mse	NOUN
ejpam-1362	245	15	values	value	NOUN
ejpam-1362	245	16	were	be	AUX
ejpam-1362	245	17	used	use	VERB
ejpam-1362	245	18	in	in	ADP
ejpam-1362	245	19	order	order	NOUN
ejpam-1362	245	20	to	to	PART
ejpam-1362	245	21	evaluate	evaluate	VERB
ejpam-1362	245	22	the	the	DET
ejpam-1362	245	23	quality	quality	NOUN
ejpam-1362	245	24	of	of	ADP
ejpam-1362	245	25	any	any	DET
ejpam-1362	245	26	curve	curve	NOUN
ejpam-1362	245	27	estimate	estimate	NOUN
ejpam-1362	245	28	f̂	f̂	PROPN
ejpam-1362	245	29	.	.	PUNCT
ejpam-1362	246	1	paired	pair	VERB
ejpam-1362	246	2	wilcoxon	wilcoxon	ADJ
ejpam-1362	246	3	tests	test	NOUN
ejpam-1362	246	4	were	be	AUX
ejpam-1362	246	5	applied	apply	VERB
ejpam-1362	246	6	to	to	PART
ejpam-1362	246	7	test	test	VERB
ejpam-1362	246	8	whether	whether	SCONJ
ejpam-1362	246	9	the	the	DET
ejpam-1362	246	10	difference	difference	NOUN
ejpam-1362	246	11	between	between	ADP
ejpam-1362	246	12	the	the	DET
ejpam-1362	246	13	median	median	PROPN
ejpam-1362	246	14	mse	mse	NOUN
ejpam-1362	246	15	values	value	NOUN
ejpam-1362	246	16	of	of	ADP
ejpam-1362	246	17	any	any	DET
ejpam-1362	246	18	two	two	NUM
ejpam-1362	246	19	methods	method	NOUN
ejpam-1362	246	20	is	be	AUX
ejpam-1362	246	21	significant	significant	ADJ
ejpam-1362	246	22	or	or	CCONJ
ejpam-1362	246	23	not	not	PART
ejpam-1362	246	24	.	.	PUNCT
ejpam-1362	247	1	the	the	DET
ejpam-1362	247	2	significance	significance	NOUN
ejpam-1362	247	3	level	level	NOUN
ejpam-1362	247	4	used	use	VERB
ejpam-1362	247	5	was	be	AUX
ejpam-1362	247	6	5	5	NUM
ejpam-1362	247	7	%	%	NOUN
ejpam-1362	247	8	.	.	PUNCT
ejpam-1362	248	1	the	the	DET
ejpam-1362	248	2	selection	selection	NOUN
ejpam-1362	248	3	methods	method	NOUN
ejpam-1362	248	4	were	be	AUX
ejpam-1362	248	5	also	also	ADV
ejpam-1362	248	6	ranked	rank	VERB
ejpam-1362	248	7	as	as	SCONJ
ejpam-1362	248	8	follows	follow	VERB
ejpam-1362	248	9	:	:	PUNCT
ejpam-1362	248	10	if	if	SCONJ
ejpam-1362	248	11	median	median	PROPN
ejpam-1362	248	12	mse	mse	NOUN
ejpam-1362	248	13	value	value	NOUN
ejpam-1362	248	14	of	of	ADP
ejpam-1362	248	15	a	a	DET
ejpam-1362	248	16	method	method	NOUN
ejpam-1362	248	17	is	be	AUX
ejpam-1362	248	18	significantly	significantly	ADV
ejpam-1362	248	19	less	less	ADJ
ejpam-1362	248	20	than	than	ADP
ejpam-1362	248	21	the	the	DET
ejpam-1362	248	22	remaining	remain	VERB
ejpam-1362	248	23	five	five	NUM
ejpam-1362	248	24	,	,	PUNCT
ejpam-1362	248	25	it	it	PRON
ejpam-1362	248	26	will	will	AUX
ejpam-1362	248	27	be	be	AUX
ejpam-1362	248	28	assigned	assign	VERB
ejpam-1362	248	29	a	a	DET
ejpam-1362	248	30	rank	rank	NOUN
ejpam-1362	248	31	1	1	NUM
ejpam-1362	248	32	.	.	PUNCT
ejpam-1362	249	1	if	if	SCONJ
ejpam-1362	249	2	median	median	PROPN
ejpam-1362	249	3	mse	mse	NOUN
ejpam-1362	249	4	value	value	NOUN
ejpam-1362	249	5	of	of	ADP
ejpam-1362	249	6	a	a	DET
ejpam-1362	249	7	method	method	NOUN
ejpam-1362	249	8	is	be	AUX
ejpam-1362	249	9	significantly	significantly	ADV
ejpam-1362	249	10	larger	large	ADJ
ejpam-1362	249	11	than	than	ADP
ejpam-1362	249	12	one	one	NUM
ejpam-1362	249	13	but	but	CCONJ
ejpam-1362	249	14	less	less	ADJ
ejpam-1362	249	15	than	than	ADP
ejpam-1362	249	16	the	the	DET
ejpam-1362	249	17	remaining	remain	VERB
ejpam-1362	249	18	four	four	NUM
ejpam-1362	249	19	,	,	PUNCT
ejpam-1362	249	20	it	it	PRON
ejpam-1362	249	21	will	will	AUX
ejpam-1362	249	22	be	be	AUX
ejpam-1362	249	23	assigned	assign	VERB
ejpam-1362	249	24	a	a	DET
ejpam-1362	249	25	rank	rank	NOUN
ejpam-1362	249	26	2	2	NUM
ejpam-1362	249	27	,	,	PUNCT
ejpam-1362	249	28	and	and	CCONJ
ejpam-1362	249	29	similarly	similarly	ADV
ejpam-1362	249	30	for	for	ADP
ejpam-1362	249	31	ranks	rank	NOUN
ejpam-1362	249	32	3	3	NUM
ejpam-1362	249	33	-	-	SYM
ejpam-1362	249	34	9	9	NUM
ejpam-1362	249	35	.	.	PUNCT
ejpam-1362	250	1	methods	method	NOUN
ejpam-1362	250	2	having	have	VERB
ejpam-1362	250	3	nonsignificantly	nonsignificantly	ADV
ejpam-1362	250	4	different	different	ADJ
ejpam-1362	250	5	median	median	ADJ
ejpam-1362	250	6	values	value	NOUN
ejpam-1362	250	7	will	will	AUX
ejpam-1362	250	8	share	share	VERB
ejpam-1362	250	9	the	the	DET
ejpam-1362	250	10	same	same	ADJ
ejpam-1362	250	11	averaged	average	VERB
ejpam-1362	250	12	rank	rank	NOUN
ejpam-1362	250	13	,	,	PUNCT
ejpam-1362	250	14	on	on	ADP
ejpam-1362	250	15	the	the	DET
ejpam-1362	250	16	other	other	ADJ
ejpam-1362	250	17	hand	hand	NOUN
ejpam-1362	250	18	,	,	PUNCT
ejpam-1362	250	19	method	method	NOUN
ejpam-1362	250	20	or	or	CCONJ
ejpam-1362	250	21	methods	method	NOUN
ejpam-1362	250	22	having	have	VERB
ejpam-1362	250	23	the	the	DET
ejpam-1362	250	24	smallest	small	ADJ
ejpam-1362	250	25	rank	rank	NOUN
ejpam-1362	250	26	will	will	AUX
ejpam-1362	250	27	be	be	AUX
ejpam-1362	250	28	superior	superior	ADJ
ejpam-1362	250	29	.	.	PUNCT
ejpam-1362	251	1	in	in	ADP
ejpam-1362	251	2	this	this	DET
ejpam-1362	251	3	simulation	simulation	NOUN
ejpam-1362	251	4	study	study	NOUN
ejpam-1362	251	5	,	,	PUNCT
ejpam-1362	251	6	because	because	SCONJ
ejpam-1362	251	7	totally	totally	ADV
ejpam-1362	251	8	84	84	NUM
ejpam-1362	251	9	different	different	ADJ
ejpam-1362	251	10	configurations	configuration	NOUN
ejpam-1362	251	11	are	be	AUX
ejpam-1362	251	12	made	make	VERB
ejpam-1362	251	13	,	,	PUNCT
ejpam-1362	251	14	it	it	PRON
ejpam-1362	251	15	is	be	AUX
ejpam-1362	251	16	not	not	PART
ejpam-1362	251	17	possible	possible	ADJ
ejpam-1362	251	18	to	to	PART
ejpam-1362	251	19	display	display	VERB
ejpam-1362	251	20	here	here	ADV
ejpam-1362	251	21	all	all	DET
ejpam-1362	251	22	these	these	DET
ejpam-1362	251	23	configurations	configuration	NOUN
ejpam-1362	251	24	.	.	PUNCT
ejpam-1362	252	1	therefore	therefore	ADV
ejpam-1362	252	2	,	,	PUNCT
ejpam-1362	252	3	only	only	ADV
ejpam-1362	252	4	24	24	NUM
ejpam-1362	252	5	different	different	ADJ
ejpam-1362	252	6	configurations	configuration	NOUN
ejpam-1362	252	7	are	be	AUX
ejpam-1362	252	8	given	give	VERB
ejpam-1362	252	9	in	in	ADP
ejpam-1362	252	10	figures	figure	NOUN
ejpam-1362	252	11	a1	a1	NOUN
ejpam-1362	252	12	-	-	PUNCT
ejpam-1362	252	13	a6	a6	NOUN
ejpam-1362	252	14	(	(	PUNCT
ejpam-1362	252	15	in	in	ADP
ejpam-1362	252	16	the	the	DET
ejpam-1362	252	17	appendix	appendix	NOUN
ejpam-1362	252	18	)	)	PUNCT
ejpam-1362	252	19	for	for	ADP
ejpam-1362	252	20	different	different	ADJ
ejpam-1362	252	21	samples	sample	NOUN
ejpam-1362	252	22	sized	size	VERB
ejpam-1362	252	23	n.	n.	PROPN
ejpam-1362	252	24	the	the	DET
ejpam-1362	252	25	head	head	NOUN
ejpam-1362	252	26	row	row	NOUN
ejpam-1362	252	27	plots	plot	NOUN
ejpam-1362	252	28	of	of	ADP
ejpam-1362	252	29	the	the	DET
ejpam-1362	252	30	figures	figure	NOUN
ejpam-1362	252	31	a1	a1	NOUN
ejpam-1362	252	32	-	-	PUNCT
ejpam-1362	252	33	a6	a6	NOUN
ejpam-1362	252	34	display	display	NOUN
ejpam-1362	252	35	the	the	DET
ejpam-1362	252	36	true	true	ADJ
ejpam-1362	252	37	regression	regression	NOUN
ejpam-1362	252	38	function	function	VERB
ejpam-1362	252	39	together	together	ADV
ejpam-1362	252	40	with	with	ADP
ejpam-1362	252	41	all	all	DET
ejpam-1362	252	42	typical	typical	ADJ
ejpam-1362	252	43	simulated	simulated	ADJ
ejpam-1362	252	44	data	datum	NOUN
ejpam-1362	252	45	set	set	VERB
ejpam-1362	252	46	.	.	PUNCT
ejpam-1362	253	1	the	the	DET
ejpam-1362	253	2	bottom	bottom	PROPN
ejpam-1362	253	3	row	row	NOUN
ejpam-1362	253	4	plots	plot	NOUN
ejpam-1362	253	5	display	display	VERB
ejpam-1362	253	6	the	the	DET
ejpam-1362	253	7	boxplots	boxplot	NOUN
ejpam-1362	253	8	of	of	ADP
ejpam-1362	253	9	the	the	DET
ejpam-1362	253	10	logemse	logemse	ADJ
ejpam-1362	253	11	values	value	NOUN
ejpam-1362	253	12	for	for	ADP
ejpam-1362	253	13	,	,	PUNCT
ejpam-1362	253	14	from	from	ADP
ejpam-1362	253	15	left	leave	VERB
ejpam-1362	253	16	to	to	ADP
ejpam-1362	253	17	d.	d.	PROPN
ejpam-1362	253	18	aydin	aydin	PROPN
ejpam-1362	253	19	,	,	PUNCT
ejpam-1362	253	20	m.	m.	NOUN
ejpam-1362	253	21	memmedli	memmedli	PROPN
ejpam-1362	253	22	,	,	PUNCT
ejpam-1362	253	23	r.	r.	PROPN
ejpam-1362	253	24	omay	omay	PROPN
ejpam-1362	253	25	/	/	SYM
ejpam-1362	253	26	eur	eur	PROPN
ejpam-1362	253	27	.	.	PUNCT
ejpam-1362	254	1	j.	j.	PROPN
ejpam-1362	254	2	pure	pure	PROPN
ejpam-1362	254	3	appl	appl	PROPN
ejpam-1362	254	4	.	.	PROPN
ejpam-1362	254	5	math	math	PROPN
ejpam-1362	254	6	,	,	PUNCT
ejpam-1362	254	7	6	6	NUM
ejpam-1362	254	8	(	(	PUNCT
ejpam-1362	254	9	2013	2013	NUM
ejpam-1362	254	10	)	)	PUNCT
ejpam-1362	254	11	,	,	PUNCT
ejpam-1362	254	12	222	222	NUM
ejpam-1362	254	13	-	-	SYM
ejpam-1362	254	14	238	238	NUM
ejpam-1362	254	15	231	231	NUM
ejpam-1362	254	16	right	right	NOUN
ejpam-1362	254	17	,	,	PUNCT
ejpam-1362	254	18	aicc	aicc	PROPN
ejpam-1362	254	19	,	,	PUNCT
ejpam-1362	254	20	rcv	rcv	PROPN
ejpam-1362	254	21	,	,	PUNCT
ejpam-1362	254	22	fse	fse	PROPN
ejpam-1362	254	23	,	,	PUNCT
ejpam-1362	254	24	gfaic	gfaic	PROPN
ejpam-1362	254	25	,	,	PUNCT
ejpam-1362	254	26	gcv	gcv	PROPN
ejpam-1362	254	27	,	,	PUNCT
ejpam-1362	254	28	cv	cv	PROPN
ejpam-1362	254	29	,	,	PUNCT
ejpam-1362	254	30	cp	cp	PROPN
ejpam-1362	254	31	,	,	PUNCT
ejpam-1362	254	32	rcp	rcp	NOUN
ejpam-1362	254	33	and	and	CCONJ
ejpam-1362	254	34	lrs	lrs	PROPN
ejpam-1362	254	35	.	.	PUNCT
ejpam-1362	255	1	the	the	DET
ejpam-1362	255	2	numbers	number	NOUN
ejpam-1362	255	3	below	below	ADP
ejpam-1362	255	4	the	the	DET
ejpam-1362	255	5	boxplots	boxplot	NOUN
ejpam-1362	255	6	are	be	AUX
ejpam-1362	255	7	the	the	DET
ejpam-1362	255	8	paired	pair	VERB
ejpam-1362	255	9	wilcoxon	wilcoxon	ADJ
ejpam-1362	255	10	test	test	NOUN
ejpam-1362	255	11	rankings	ranking	NOUN
ejpam-1362	255	12	.	.	PUNCT
ejpam-1362	256	1	for	for	ADP
ejpam-1362	256	2	84	84	NUM
ejpam-1362	256	3	different	different	ADJ
ejpam-1362	256	4	simulation	simulation	NOUN
ejpam-1362	256	5	experiments	experiment	NOUN
ejpam-1362	256	6	,	,	PUNCT
ejpam-1362	256	7	the	the	DET
ejpam-1362	256	8	averaged	average	VERB
ejpam-1362	256	9	ranking	rank	VERB
ejpam-1362	256	10	values	value	NOUN
ejpam-1362	256	11	of	of	ADP
ejpam-1362	256	12	the	the	DET
ejpam-1362	256	13	selection	selection	NOUN
ejpam-1362	256	14	methods	method	NOUN
ejpam-1362	256	15	according	accord	VERB
ejpam-1362	256	16	to	to	ADP
ejpam-1362	256	17	wilcoxon	wilcoxon	ADJ
ejpam-1362	256	18	tests	test	NOUN
ejpam-1362	256	19	are	be	AUX
ejpam-1362	256	20	tabulated	tabulate	VERB
ejpam-1362	256	21	in	in	ADP
ejpam-1362	256	22	tables	table	NOUN
ejpam-1362	256	23	a1	a1	NOUN
ejpam-1362	256	24	and	and	CCONJ
ejpam-1362	256	25	a2	a2	PROPN
ejpam-1362	256	26	.	.	PUNCT
ejpam-1362	257	1	all	all	DET
ejpam-1362	257	2	results	result	NOUN
ejpam-1362	257	3	tables	table	NOUN
ejpam-1362	257	4	are	be	AUX
ejpam-1362	257	5	shown	show	VERB
ejpam-1362	257	6	in	in	ADP
ejpam-1362	257	7	the	the	DET
ejpam-1362	257	8	appendix	appendix	NOUN
ejpam-1362	257	9	;	;	PUNCT
ejpam-1362	257	10	(	(	PUNCT
ejpam-1362	257	11	∗	∗	NOUN
ejpam-1362	257	12	)	)	PUNCT
ejpam-1362	257	13	indicates	indicate	VERB
ejpam-1362	257	14	the	the	DET
ejpam-1362	257	15	selection	selection	NOUN
ejpam-1362	257	16	methods	method	NOUN
ejpam-1362	257	17	with	with	ADP
ejpam-1362	257	18	the	the	DET
ejpam-1362	257	19	best	good	ADJ
ejpam-1362	257	20	rankings	ranking	NOUN
ejpam-1362	257	21	.	.	PUNCT
ejpam-1362	258	1	according	accord	VERB
ejpam-1362	258	2	to	to	ADP
ejpam-1362	258	3	the	the	DET
ejpam-1362	258	4	results	result	NOUN
ejpam-1362	258	5	in	in	ADP
ejpam-1362	258	6	table	table	NOUN
ejpam-1362	258	7	a1	a1	NOUN
ejpam-1362	258	8	,	,	PUNCT
ejpam-1362	258	9	for	for	ADP
ejpam-1362	258	10	small	small	ADJ
ejpam-1362	258	11	sized	sized	ADJ
ejpam-1362	258	12	samples	sample	NOUN
ejpam-1362	258	13	(	(	PUNCT
ejpam-1362	258	14	for	for	ADP
ejpam-1362	258	15	n	n	NOUN
ejpam-1362	258	16	=	=	SYM
ejpam-1362	258	17	25,50,100	25,50,100	NUM
ejpam-1362	258	18	)	)	PUNCT
ejpam-1362	258	19	,	,	PUNCT
ejpam-1362	258	20	gcv	gcv	PROPN
ejpam-1362	258	21	has	have	AUX
ejpam-1362	258	22	had	have	VERB
ejpam-1362	258	23	the	the	DET
ejpam-1362	258	24	best	good	ADJ
ejpam-1362	258	25	empirical	empirical	ADJ
ejpam-1362	258	26	performance	performance	NOUN
ejpam-1362	258	27	for	for	ADP
ejpam-1362	258	28	all	all	DET
ejpam-1362	258	29	factors	factor	NOUN
ejpam-1362	258	30	.	.	PUNCT
ejpam-1362	259	1	furthermore	furthermore	ADV
ejpam-1362	259	2	,	,	PUNCT
ejpam-1362	259	3	gfaic	gfaic	PROPN
ejpam-1362	259	4	and	and	CCONJ
ejpam-1362	259	5	rcv	rcv	PROPN
ejpam-1362	259	6	have	have	AUX
ejpam-1362	259	7	shared	share	VERB
ejpam-1362	259	8	the	the	DET
ejpam-1362	259	9	better	well	ADJ
ejpam-1362	259	10	performance	performance	NOUN
ejpam-1362	259	11	after	after	ADP
ejpam-1362	259	12	gcv	gcv	PROPN
ejpam-1362	259	13	criterion	criterion	NOUN
ejpam-1362	259	14	.	.	PUNCT
ejpam-1362	260	1	in	in	ADP
ejpam-1362	260	2	accordance	accordance	NOUN
ejpam-1362	260	3	with	with	ADP
ejpam-1362	260	4	the	the	DET
ejpam-1362	260	5	overall	overall	ADJ
ejpam-1362	260	6	wilcoxon	wilcoxon	ADJ
ejpam-1362	260	7	test	test	NOUN
ejpam-1362	260	8	rankings	ranking	NOUN
ejpam-1362	260	9	in	in	ADP
ejpam-1362	260	10	table	table	NOUN
ejpam-1362	260	11	a1	a1	NOUN
ejpam-1362	260	12	,	,	PUNCT
ejpam-1362	260	13	gcv	gcv	PROPN
ejpam-1362	260	14	,	,	PUNCT
ejpam-1362	260	15	gfaic	gfaic	PROPN
ejpam-1362	260	16	and	and	CCONJ
ejpam-1362	260	17	rcv	rcv	PROPN
ejpam-1362	260	18	have	have	AUX
ejpam-1362	260	19	also	also	ADV
ejpam-1362	260	20	displayed	display	VERB
ejpam-1362	260	21	a	a	DET
ejpam-1362	260	22	good	good	ADJ
ejpam-1362	260	23	performance	performance	NOUN
ejpam-1362	260	24	.	.	PUNCT
ejpam-1362	261	1	as	as	SCONJ
ejpam-1362	261	2	shown	show	VERB
ejpam-1362	261	3	table	table	NOUN
ejpam-1362	261	4	a1	a1	NOUN
ejpam-1362	261	5	,	,	PUNCT
ejpam-1362	261	6	because	because	SCONJ
ejpam-1362	261	7	of	of	ADP
ejpam-1362	261	8	r	r	PROPN
ejpam-1362	261	9	�	�	PROPN
ejpam-1362	261	10	f	f	PROPN
ejpam-1362	261	11	,	,	PUNCT
ejpam-1362	261	12	f̂λ	f̂λ	X
ejpam-1362	261	13	�	�	PROPN
ejpam-1362	261	14	=	=	SYM
ejpam-1362	261	15	e	e	X
ejpam-1362	261	16	¦	¦	X
ejpam-1362	261	17	cp(λ	cp(λ	X
ejpam-1362	261	18	)	)	PUNCT
ejpam-1362	261	19	©	©	PROPN
ejpam-1362	261	20	,	,	PUNCT
ejpam-1362	261	21	cp	cp	PROPN
ejpam-1362	261	22	and	and	CCONJ
ejpam-1362	261	23	rcp	rcp	PROPN
ejpam-1362	261	24	methods	method	NOUN
ejpam-1362	261	25	produced	produce	VERB
ejpam-1362	261	26	the	the	DET
ejpam-1362	261	27	same	same	ADJ
ejpam-1362	261	28	results	result	NOUN
ejpam-1362	261	29	under	under	ADP
ejpam-1362	261	30	all	all	DET
ejpam-1362	261	31	experimental	experimental	ADJ
ejpam-1362	261	32	factors	factor	NOUN
ejpam-1362	261	33	.	.	PUNCT
ejpam-1362	262	1	in	in	ADP
ejpam-1362	262	2	this	this	DET
ejpam-1362	262	3	situation	situation	NOUN
ejpam-1362	262	4	,	,	PUNCT
ejpam-1362	262	5	for	for	ADP
ejpam-1362	262	6	small	small	ADJ
ejpam-1362	262	7	sample	sample	NOUN
ejpam-1362	262	8	sizes	size	NOUN
ejpam-1362	262	9	,	,	PUNCT
ejpam-1362	262	10	for	for	ADP
ejpam-1362	262	11	which	which	DET
ejpam-1362	262	12	reason	reason	NOUN
ejpam-1362	262	13	the	the	DET
ejpam-1362	262	14	effects	effect	NOUN
ejpam-1362	262	15	of	of	ADP
ejpam-1362	262	16	the	the	DET
ejpam-1362	262	17	replication	replication	NOUN
ejpam-1362	262	18	of	of	ADP
ejpam-1362	262	19	simulation	simulation	NOUN
ejpam-1362	262	20	,	,	PUNCT
ejpam-1362	262	21	cp	cp	PROPN
ejpam-1362	262	22	is	be	AUX
ejpam-1362	262	23	approximately	approximately	ADV
ejpam-1362	262	24	equal	equal	ADJ
ejpam-1362	262	25	to	to	ADP
ejpam-1362	262	26	its	its	PRON
ejpam-1362	262	27	e	e	X
ejpam-1362	262	28	¦	¦	X
ejpam-1362	262	29	cp	cp	PROPN
ejpam-1362	262	30	©	©	PROPN
ejpam-1362	262	31	.	.	PUNCT
ejpam-1362	263	1	for	for	ADP
ejpam-1362	263	2	small	small	ADJ
ejpam-1362	263	3	samples	sample	NOUN
ejpam-1362	263	4	,	,	PUNCT
ejpam-1362	263	5	it	it	PRON
ejpam-1362	263	6	is	be	AUX
ejpam-1362	263	7	observed	observe	VERB
ejpam-1362	263	8	that	that	SCONJ
ejpam-1362	263	9	pse	pse	NOUN
ejpam-1362	263	10	has	have	AUX
ejpam-1362	263	11	produced	produce	VERB
ejpam-1362	263	12	the	the	DET
ejpam-1362	263	13	worst	bad	ADJ
ejpam-1362	263	14	performance	performance	NOUN
ejpam-1362	263	15	.	.	PUNCT
ejpam-1362	264	1	according	accord	VERB
ejpam-1362	264	2	to	to	ADP
ejpam-1362	264	3	table	table	NOUN
ejpam-1362	264	4	a2	a2	PROPN
ejpam-1362	264	5	,	,	PUNCT
ejpam-1362	264	6	for	for	ADP
ejpam-1362	264	7	large	large	ADJ
ejpam-1362	264	8	sized	sized	ADJ
ejpam-1362	264	9	samples	sample	NOUN
ejpam-1362	264	10	(	(	PUNCT
ejpam-1362	264	11	for	for	ADP
ejpam-1362	264	12	n	n	NOUN
ejpam-1362	264	13	=	=	NOUN
ejpam-1362	264	14	150,200,350400	150,200,350400	NUM
ejpam-1362	264	15	)	)	PUNCT
ejpam-1362	264	16	,	,	PUNCT
ejpam-1362	264	17	gfaic	gfaic	ADJ
ejpam-1362	264	18	criterion	criterion	NOUN
ejpam-1362	264	19	has	have	AUX
ejpam-1362	264	20	had	have	VERB
ejpam-1362	264	21	the	the	DET
ejpam-1362	264	22	best	good	ADJ
ejpam-1362	264	23	empirical	empirical	ADJ
ejpam-1362	264	24	performance	performance	NOUN
ejpam-1362	264	25	.	.	PUNCT
ejpam-1362	265	1	generally	generally	ADV
ejpam-1362	265	2	it	it	PRON
ejpam-1362	265	3	is	be	AUX
ejpam-1362	265	4	shown	show	VERB
ejpam-1362	265	5	that	that	PRON
ejpam-1362	265	6	aicc	aicc	NOUN
ejpam-1362	265	7	,	,	PUNCT
ejpam-1362	265	8	rcv	rcv	PROPN
ejpam-1362	265	9	and	and	CCONJ
ejpam-1362	265	10	gcv	gcv	PROPN
ejpam-1362	265	11	(	(	PUNCT
ejpam-1362	265	12	cp	cp	NOUN
ejpam-1362	265	13	)	)	PUNCT
ejpam-1362	265	14	criteria	criterion	NOUN
ejpam-1362	265	15	have	have	AUX
ejpam-1362	265	16	shared	share	VERB
ejpam-1362	265	17	a	a	DET
ejpam-1362	265	18	better	well	ADJ
ejpam-1362	265	19	performance	performance	NOUN
ejpam-1362	265	20	after	after	ADP
ejpam-1362	265	21	than	than	ADP
ejpam-1362	265	22	gfaic	gfaic	ADJ
ejpam-1362	265	23	.	.	PUNCT
ejpam-1362	266	1	according	accord	VERB
ejpam-1362	266	2	to	to	ADP
ejpam-1362	266	3	the	the	DET
ejpam-1362	266	4	overall	overall	ADJ
ejpam-1362	266	5	wilcoxon	wilcoxon	ADJ
ejpam-1362	266	6	test	test	NOUN
ejpam-1362	266	7	rankings	ranking	NOUN
ejpam-1362	266	8	in	in	ADP
ejpam-1362	266	9	table	table	NOUN
ejpam-1362	266	10	a2	a2	PROPN
ejpam-1362	266	11	,	,	PUNCT
ejpam-1362	266	12	gfaic	gfaic	ADJ
ejpam-1362	266	13	,	,	PUNCT
ejpam-1362	266	14	aicc	aicc	NOUN
ejpam-1362	266	15	and	and	CCONJ
ejpam-1362	266	16	rcv	rcv	PROPN
ejpam-1362	266	17	criteria	criterion	NOUN
ejpam-1362	266	18	can	can	AUX
ejpam-1362	266	19	be	be	AUX
ejpam-1362	266	20	ranked	rank	VERB
ejpam-1362	266	21	in	in	ADP
ejpam-1362	266	22	terms	term	NOUN
ejpam-1362	266	23	of	of	ADP
ejpam-1362	266	24	the	the	DET
ejpam-1362	266	25	performance	performance	NOUN
ejpam-1362	266	26	.	.	PUNCT
ejpam-1362	267	1	as	as	SCONJ
ejpam-1362	267	2	shown	show	VERB
ejpam-1362	267	3	in	in	ADP
ejpam-1362	267	4	table	table	NOUN
ejpam-1362	267	5	a2	a2	PROPN
ejpam-1362	267	6	,	,	PUNCT
ejpam-1362	267	7	generally	generally	ADV
ejpam-1362	267	8	,	,	PUNCT
ejpam-1362	267	9	cp	cp	INTJ
ejpam-1362	267	10	and	and	CCONJ
ejpam-1362	267	11	gcv	gcv	PROPN
ejpam-1362	267	12	gave	give	VERB
ejpam-1362	267	13	the	the	DET
ejpam-1362	267	14	same	same	ADJ
ejpam-1362	267	15	results	result	NOUN
ejpam-1362	267	16	.	.	PUNCT
ejpam-1362	268	1	this	this	PRON
ejpam-1362	268	2	can	can	AUX
ejpam-1362	268	3	be	be	AUX
ejpam-1362	268	4	interpreted	interpret	VERB
ejpam-1362	268	5	to	to	PART
ejpam-1362	268	6	follow	follow	VERB
ejpam-1362	268	7	the	the	DET
ejpam-1362	268	8	accepted	accepted	ADJ
ejpam-1362	268	9	view	view	NOUN
ejpam-1362	268	10	that	that	SCONJ
ejpam-1362	268	11	gcv	gcv	PROPN
ejpam-1362	268	12	is	be	AUX
ejpam-1362	268	13	asymptotically	asymptotically	ADV
ejpam-1362	268	14	equal	equal	ADJ
ejpam-1362	268	15	to	to	ADP
ejpam-1362	268	16	gcv	gcv	PROPN
ejpam-1362	269	1	[	[	X
ejpam-1362	269	2	see	see	VERB
ejpam-1362	269	3	10	10	NUM
ejpam-1362	269	4	]	]	PUNCT
ejpam-1362	269	5	.	.	PUNCT
ejpam-1362	270	1	that	that	PRON
ejpam-1362	270	2	is	be	AUX
ejpam-1362	270	3	to	to	PART
ejpam-1362	270	4	say	say	VERB
ejpam-1362	270	5	that	that	SCONJ
ejpam-1362	270	6	,	,	PUNCT
ejpam-1362	270	7	for	for	ADP
ejpam-1362	270	8	large	large	ADJ
ejpam-1362	270	9	sized	sized	ADJ
ejpam-1362	270	10	samples	sample	NOUN
ejpam-1362	270	11	,	,	PUNCT
ejpam-1362	270	12	because	because	SCONJ
ejpam-1362	270	13	of	of	ADP
ejpam-1362	270	14	the	the	DET
ejpam-1362	270	15	effect	effect	NOUN
ejpam-1362	270	16	of	of	ADP
ejpam-1362	270	17	the	the	DET
ejpam-1362	270	18	replication	replication	NOUN
ejpam-1362	270	19	of	of	ADP
ejpam-1362	270	20	simulation	simulation	NOUN
ejpam-1362	270	21	,	,	PUNCT
ejpam-1362	270	22	performance	performance	NOUN
ejpam-1362	270	23	of	of	ADP
ejpam-1362	270	24	the	the	DET
ejpam-1362	270	25	gcv	gcv	NOUN
ejpam-1362	270	26	and	and	CCONJ
ejpam-1362	270	27	cp	cp	PROPN
ejpam-1362	270	28	is	be	AUX
ejpam-1362	270	29	approximately	approximately	ADV
ejpam-1362	270	30	equal	equal	ADJ
ejpam-1362	270	31	.	.	PUNCT
ejpam-1362	271	1	pse	pse	PROPN
ejpam-1362	271	2	has	have	AUX
ejpam-1362	271	3	also	also	ADV
ejpam-1362	271	4	produced	produce	VERB
ejpam-1362	271	5	the	the	DET
ejpam-1362	271	6	worst	bad	ADJ
ejpam-1362	271	7	performance	performance	NOUN
ejpam-1362	271	8	for	for	ADP
ejpam-1362	271	9	large	large	ADJ
ejpam-1362	271	10	samples	sample	NOUN
ejpam-1362	271	11	.	.	PUNCT
ejpam-1362	272	1	5	5	X
ejpam-1362	272	2	.	.	X
ejpam-1362	272	3	conclusion	conclusion	NOUN
ejpam-1362	272	4	and	and	CCONJ
ejpam-1362	272	5	recommendations	recommendation	NOUN
ejpam-1362	272	6	the	the	DET
ejpam-1362	272	7	scores	score	NOUN
ejpam-1362	272	8	in	in	ADP
ejpam-1362	272	9	tables	table	NOUN
ejpam-1362	272	10	a3	a3	NOUN
ejpam-1362	272	11	and	and	CCONJ
ejpam-1362	272	12	a4	a4	NOUN
ejpam-1362	272	13	in	in	ADP
ejpam-1362	272	14	the	the	DET
ejpam-1362	272	15	appendix	appendix	NOUN
ejpam-1362	272	16	are	be	AUX
ejpam-1362	272	17	obtained	obtain	VERB
ejpam-1362	272	18	by	by	ADP
ejpam-1362	272	19	taking	take	VERB
ejpam-1362	272	20	the	the	DET
ejpam-1362	272	21	means	mean	NOUN
ejpam-1362	272	22	of	of	ADP
ejpam-1362	272	23	the	the	DET
ejpam-1362	272	24	averaged	average	VERB
ejpam-1362	272	25	wilcoxon	wilcoxon	PROPN
ejpam-1362	272	26	test	test	NOUN
ejpam-1362	272	27	ranking	rank	VERB
ejpam-1362	272	28	values	value	NOUN
ejpam-1362	272	29	tie	tie	VERB
ejpam-1362	272	30	with	with	ADP
ejpam-1362	272	31	each	each	PRON
ejpam-1362	272	32	of	of	ADP
ejpam-1362	272	33	the	the	DET
ejpam-1362	272	34	selection	selection	NOUN
ejpam-1362	272	35	methods	method	NOUN
ejpam-1362	272	36	in	in	ADP
ejpam-1362	272	37	table	table	NOUN
ejpam-1362	272	38	a1	a1	NOUN
ejpam-1362	272	39	-	-	PUNCT
ejpam-1362	272	40	a2	a2	NOUN
ejpam-1362	272	41	respectively	respectively	ADV
ejpam-1362	272	42	.	.	PUNCT
ejpam-1362	273	1	as	as	SCONJ
ejpam-1362	273	2	shown	show	VERB
ejpam-1362	273	3	in	in	ADP
ejpam-1362	273	4	table	table	NOUN
ejpam-1362	273	5	a3	a3	NOUN
ejpam-1362	273	6	,	,	PUNCT
ejpam-1362	273	7	according	accord	VERB
ejpam-1362	273	8	to	to	ADP
ejpam-1362	273	9	the	the	DET
ejpam-1362	273	10	means	mean	NOUN
ejpam-1362	273	11	of	of	ADP
ejpam-1362	273	12	the	the	DET
ejpam-1362	273	13	small	small	ADJ
ejpam-1362	273	14	samples	sample	NOUN
ejpam-1362	273	15	for	for	ADP
ejpam-1362	273	16	all	all	DET
ejpam-1362	273	17	factors	factor	NOUN
ejpam-1362	273	18	,	,	PUNCT
ejpam-1362	273	19	gcv	gcv	PROPN
ejpam-1362	273	20	,	,	PUNCT
ejpam-1362	273	21	gfaic	gfaic	PROPN
ejpam-1362	273	22	and	and	CCONJ
ejpam-1362	273	23	rcv	rcv	PROPN
ejpam-1362	273	24	criteria	criterion	NOUN
ejpam-1362	273	25	have	have	AUX
ejpam-1362	273	26	had	have	VERB
ejpam-1362	273	27	the	the	DET
ejpam-1362	273	28	best	good	ADJ
ejpam-1362	273	29	empirical	empirical	ADJ
ejpam-1362	273	30	performance	performance	NOUN
ejpam-1362	273	31	respectively	respectively	ADV
ejpam-1362	273	32	.	.	PUNCT
ejpam-1362	274	1	when	when	SCONJ
ejpam-1362	274	2	it	it	PRON
ejpam-1362	274	3	is	be	AUX
ejpam-1362	274	4	compared	compare	VERB
ejpam-1362	274	5	to	to	ADP
ejpam-1362	274	6	the	the	DET
ejpam-1362	274	7	other	other	ADJ
ejpam-1362	274	8	criteria	criterion	NOUN
ejpam-1362	274	9	,	,	PUNCT
ejpam-1362	274	10	pse	pse	NOUN
ejpam-1362	274	11	,	,	PUNCT
ejpam-1362	274	12	cp(rcp	cp(rcp	PROPN
ejpam-1362	274	13	)	)	PUNCT
ejpam-1362	274	14	,	,	PUNCT
ejpam-1362	274	15	aicc	aicc	NOUN
ejpam-1362	274	16	criteria	criterion	NOUN
ejpam-1362	274	17	have	have	AUX
ejpam-1362	274	18	resulted	result	VERB
ejpam-1362	274	19	in	in	ADP
ejpam-1362	274	20	the	the	DET
ejpam-1362	274	21	worst	bad	ADJ
ejpam-1362	274	22	performance	performance	NOUN
ejpam-1362	274	23	.	.	PUNCT
ejpam-1362	275	1	according	accord	VERB
ejpam-1362	275	2	to	to	ADP
ejpam-1362	275	3	the	the	DET
ejpam-1362	275	4	means	mean	NOUN
ejpam-1362	275	5	of	of	ADP
ejpam-1362	275	6	the	the	DET
ejpam-1362	275	7	large	large	ADJ
ejpam-1362	275	8	samples	sample	NOUN
ejpam-1362	275	9	for	for	ADP
ejpam-1362	275	10	all	all	DET
ejpam-1362	275	11	factors	factor	NOUN
ejpam-1362	275	12	in	in	ADP
ejpam-1362	275	13	table	table	NOUN
ejpam-1362	275	14	a4	a4	NOUN
ejpam-1362	275	15	,	,	PUNCT
ejpam-1362	275	16	it	it	PRON
ejpam-1362	275	17	is	be	AUX
ejpam-1362	275	18	observed	observe	VERB
ejpam-1362	275	19	that	that	SCONJ
ejpam-1362	275	20	gfaic	gfaic	ADJ
ejpam-1362	275	21	,	,	PUNCT
ejpam-1362	275	22	aicc	aicc	NOUN
ejpam-1362	275	23	,	,	PUNCT
ejpam-1362	275	24	gcv	gcv	PROPN
ejpam-1362	275	25	(	(	PUNCT
ejpam-1362	275	26	cp	cp	X
ejpam-1362	275	27	)	)	PUNCT
ejpam-1362	275	28	have	have	AUX
ejpam-1362	275	29	had	have	VERB
ejpam-1362	275	30	the	the	DET
ejpam-1362	275	31	best	good	ADJ
ejpam-1362	275	32	empirical	empirical	ADJ
ejpam-1362	275	33	performance	performance	NOUN
ejpam-1362	275	34	.	.	PUNCT
ejpam-1362	276	1	however	however	ADV
ejpam-1362	276	2	,	,	PUNCT
ejpam-1362	276	3	pse	pse	PROPN
ejpam-1362	276	4	and	and	CCONJ
ejpam-1362	276	5	cv	cv	PROPN
ejpam-1362	276	6	have	have	AUX
ejpam-1362	276	7	produced	produce	VERB
ejpam-1362	276	8	the	the	DET
ejpam-1362	276	9	worst	bad	ADJ
ejpam-1362	276	10	result	result	NOUN
ejpam-1362	276	11	finally	finally	ADV
ejpam-1362	276	12	,	,	PUNCT
ejpam-1362	276	13	by	by	ADP
ejpam-1362	276	14	considering	consider	VERB
ejpam-1362	276	15	the	the	DET
ejpam-1362	276	16	simulation	simulation	NOUN
ejpam-1362	276	17	results	result	NOUN
ejpam-1362	276	18	and	and	CCONJ
ejpam-1362	276	19	evaluations	evaluation	NOUN
ejpam-1362	276	20	given	give	VERB
ejpam-1362	276	21	in	in	ADP
ejpam-1362	276	22	the	the	DET
ejpam-1362	276	23	above	above	NOUN
ejpam-1362	276	24	,	,	PUNCT
ejpam-1362	276	25	the	the	DET
ejpam-1362	276	26	following	follow	VERB
ejpam-1362	276	27	suggestions	suggestion	NOUN
ejpam-1362	276	28	have	have	VERB
ejpam-1362	276	29	to	to	PART
ejpam-1362	276	30	be	be	AUX
ejpam-1362	276	31	taken	take	VERB
ejpam-1362	276	32	into	into	ADP
ejpam-1362	276	33	account	account	NOUN
ejpam-1362	276	34	:	:	PUNCT
ejpam-1362	276	35	•	•	ADP
ejpam-1362	276	36	for	for	ADP
ejpam-1362	276	37	both	both	CCONJ
ejpam-1362	276	38	large	large	ADJ
ejpam-1362	276	39	and	and	CCONJ
ejpam-1362	276	40	small	small	ADJ
ejpam-1362	276	41	samples	sample	NOUN
ejpam-1362	276	42	,	,	PUNCT
ejpam-1362	276	43	gfaic	gfaic	ADJ
ejpam-1362	276	44	and	and	CCONJ
ejpam-1362	276	45	gcv	gcv	PROPN
ejpam-1362	276	46	are	be	AUX
ejpam-1362	276	47	recommended	recommend	VERB
ejpam-1362	276	48	as	as	ADP
ejpam-1362	276	49	being	be	AUX
ejpam-1362	276	50	the	the	DET
ejpam-1362	276	51	best	good	ADJ
ejpam-1362	276	52	selection	selection	NOUN
ejpam-1362	276	53	criteria	criterion	NOUN
ejpam-1362	276	54	;	;	PUNCT
ejpam-1362	276	55	•	•	ADP
ejpam-1362	276	56	for	for	ADP
ejpam-1362	276	57	especially	especially	ADV
ejpam-1362	276	58	large	large	ADJ
ejpam-1362	276	59	samples	sample	NOUN
ejpam-1362	276	60	,	,	PUNCT
ejpam-1362	276	61	the	the	DET
ejpam-1362	276	62	use	use	NOUN
ejpam-1362	276	63	gfaic	gfaic	ADV
ejpam-1362	276	64	would	would	AUX
ejpam-1362	276	65	seem	seem	VERB
ejpam-1362	276	66	to	to	PART
ejpam-1362	276	67	be	be	AUX
ejpam-1362	276	68	more	more	ADV
ejpam-1362	276	69	appropriate	appropriate	ADJ
ejpam-1362	276	70	.	.	PUNCT
ejpam-1362	277	1	as	as	ADP
ejpam-1362	277	2	for	for	ADP
ejpam-1362	277	3	small	small	ADJ
ejpam-1362	277	4	samples	sample	NOUN
ejpam-1362	277	5	,	,	PUNCT
ejpam-1362	277	6	we	we	PRON
ejpam-1362	277	7	propose	propose	VERB
ejpam-1362	277	8	the	the	DET
ejpam-1362	277	9	implementation	implementation	NOUN
ejpam-1362	277	10	of	of	ADP
ejpam-1362	277	11	gcv	gcv	PROPN
ejpam-1362	277	12	criterion	criterion	NOUN
ejpam-1362	277	13	;	;	PUNCT
ejpam-1362	277	14	references	reference	NOUN
ejpam-1362	277	15	232	232	NUM
ejpam-1362	277	16	•	•	NOUN
ejpam-1362	277	17	for	for	ADP
ejpam-1362	277	18	large	large	ADJ
ejpam-1362	277	19	samples	sample	NOUN
ejpam-1362	277	20	,	,	PUNCT
ejpam-1362	277	21	the	the	DET
ejpam-1362	277	22	implementation	implementation	NOUN
ejpam-1362	277	23	of	of	ADP
ejpam-1362	277	24	aicc	aicc	NOUN
ejpam-1362	277	25	criterion	criterion	NOUN
ejpam-1362	277	26	,	,	PUNCT
ejpam-1362	277	27	in	in	ADP
ejpam-1362	277	28	addition	addition	NOUN
ejpam-1362	277	29	to	to	ADP
ejpam-1362	277	30	gfaic	gfaic	ADJ
ejpam-1362	277	31	and	and	CCONJ
ejpam-1362	277	32	gcv	gcv	PROPN
ejpam-1362	277	33	(	(	PUNCT
ejpam-1362	277	34	cp	cp	NOUN
ejpam-1362	277	35	)	)	PUNCT
ejpam-1362	277	36	criteria	criterion	NOUN
ejpam-1362	277	37	would	would	AUX
ejpam-1362	277	38	be	be	AUX
ejpam-1362	277	39	more	more	ADV
ejpam-1362	277	40	beneficial	beneficial	ADJ
ejpam-1362	277	41	.	.	PUNCT
ejpam-1362	278	1	for	for	ADP
ejpam-1362	278	2	small	small	ADJ
ejpam-1362	278	3	samples	sample	NOUN
ejpam-1362	278	4	,	,	PUNCT
ejpam-1362	278	5	rcv	rcv	NOUN
ejpam-1362	278	6	criterion	criterion	NOUN
ejpam-1362	278	7	in	in	ADP
ejpam-1362	278	8	addition	addition	NOUN
ejpam-1362	278	9	to	to	ADP
ejpam-1362	278	10	gfaic	gfaic	ADJ
ejpam-1362	278	11	and	and	CCONJ
ejpam-1362	278	12	gcv	gcv	PROPN
ejpam-1362	278	13	criteria	criterion	NOUN
ejpam-1362	278	14	should	should	AUX
ejpam-1362	278	15	prove	prove	VERB
ejpam-1362	278	16	fruitful	fruitful	ADJ
ejpam-1362	278	17	.	.	PUNCT
ejpam-1362	279	1	naturally	naturally	ADV
ejpam-1362	279	2	,	,	PUNCT
ejpam-1362	279	3	the	the	DET
ejpam-1362	279	4	above	above	ADJ
ejpam-1362	279	5	recommended	recommended	ADJ
ejpam-1362	279	6	suggestions	suggestion	NOUN
ejpam-1362	279	7	have	have	VERB
ejpam-1362	279	8	to	to	PART
ejpam-1362	279	9	be	be	AUX
ejpam-1362	279	10	considered	consider	VERB
ejpam-1362	279	11	with	with	ADP
ejpam-1362	279	12	a	a	DET
ejpam-1362	279	13	fair	fair	ADJ
ejpam-1362	279	14	amount	amount	NOUN
ejpam-1362	279	15	of	of	ADP
ejpam-1362	279	16	caution	caution	NOUN
ejpam-1362	279	17	as	as	SCONJ
ejpam-1362	279	18	they	they	PRON
ejpam-1362	279	19	are	be	AUX
ejpam-1362	279	20	only	only	ADV
ejpam-1362	279	21	an	an	DET
ejpam-1362	279	22	appraisal	appraisal	NOUN
ejpam-1362	279	23	based	base	VERB
ejpam-1362	279	24	on	on	ADP
ejpam-1362	279	25	simulation	simulation	NOUN
ejpam-1362	279	26	results	result	NOUN
ejpam-1362	279	27	.	.	PUNCT
ejpam-1362	280	1	references	reference	NOUN
ejpam-1362	280	2	[	[	X
ejpam-1362	280	3	1	1	NUM
ejpam-1362	280	4	]	]	X
ejpam-1362	280	5	h	h	NOUN
ejpam-1362	280	6	akaike	akaike	ADJ
ejpam-1362	280	7	.	.	PUNCT
ejpam-1362	281	1	statistical	statistical	ADJ
ejpam-1362	281	2	predictor	predictor	NOUN
ejpam-1362	281	3	identification	identification	NOUN
ejpam-1362	281	4	.	.	PUNCT
ejpam-1362	282	1	annals	annal	NOUN
ejpam-1362	282	2	of	of	ADP
ejpam-1362	282	3	the	the	DET
ejpam-1362	282	4	institute	institute	NOUN
ejpam-1362	282	5	of	of	ADP
ejpam-1362	282	6	statistical	statistical	ADJ
ejpam-1362	282	7	mathematics	mathematic	NOUN
ejpam-1362	282	8	(	(	PUNCT
ejpam-1362	282	9	aism	aism	NOUN
ejpam-1362	282	10	)	)	PUNCT
ejpam-1362	282	11	,	,	PUNCT
ejpam-1362	282	12	22:203–217	22:203–217	PROPN
ejpam-1362	282	13	,	,	PUNCT
ejpam-1362	282	14	1970	1970	NUM
ejpam-1362	282	15	.	.	PUNCT
ejpam-1362	283	1	[	[	X
ejpam-1362	283	2	2	2	NUM
ejpam-1362	283	3	]	]	X
ejpam-1362	283	4	h	h	NOUN
ejpam-1362	283	5	akaike	akaike	ADJ
ejpam-1362	283	6	.	.	PUNCT
ejpam-1362	284	1	a	a	DET
ejpam-1362	284	2	new	new	ADJ
ejpam-1362	284	3	look	look	NOUN
ejpam-1362	284	4	at	at	ADP
ejpam-1362	284	5	the	the	DET
ejpam-1362	284	6	statistical	statistical	ADJ
ejpam-1362	284	7	model	model	NOUN
ejpam-1362	284	8	identification	identification	NOUN
ejpam-1362	284	9	.	.	PUNCT
ejpam-1362	285	1	ieee	ieee	NOUN
ejpam-1362	285	2	transactions	transaction	NOUN
ejpam-1362	285	3	on	on	ADP
ejpam-1362	285	4	automatic	automatic	ADJ
ejpam-1362	285	5	control	control	NOUN
ejpam-1362	285	6	,	,	PUNCT
ejpam-1362	285	7	19(6):716–723	19(6):716–723	NUM
ejpam-1362	285	8	,	,	PUNCT
ejpam-1362	285	9	1974	1974	NUM
ejpam-1362	285	10	.	.	PUNCT
ejpam-1362	286	1	[	[	X
ejpam-1362	286	2	3	3	NUM
ejpam-1362	286	3	]	]	X
ejpam-1362	286	4	d	d	NOUN
ejpam-1362	286	5	aydin	aydin	NOUN
ejpam-1362	286	6	and	and	CCONJ
ejpam-1362	286	7	m	m	NOUN
ejpam-1362	286	8	memmedli	memmedli	ADJ
ejpam-1362	286	9	.	.	PUNCT
ejpam-1362	287	1	optimum	optimum	ADJ
ejpam-1362	287	2	smoothing	smoothing	NOUN
ejpam-1362	287	3	parameter	parameter	NOUN
ejpam-1362	287	4	selection	selection	NOUN
ejpam-1362	287	5	for	for	ADP
ejpam-1362	287	6	penalized	penalize	VERB
ejpam-1362	287	7	least	least	ADJ
ejpam-1362	287	8	squares	square	NOUN
ejpam-1362	287	9	in	in	ADP
ejpam-1362	287	10	form	form	NOUN
ejpam-1362	287	11	of	of	ADP
ejpam-1362	287	12	linear	linear	ADJ
ejpam-1362	287	13	mixed	mixed	ADJ
ejpam-1362	287	14	effect	effect	NOUN
ejpam-1362	287	15	models	model	NOUN
ejpam-1362	287	16	.	.	PUNCT
ejpam-1362	288	1	optimization	optimization	NOUN
ejpam-1362	288	2	,	,	PUNCT
ejpam-1362	288	3	ifirst:1–18	ifirst:1–18	PROPN
ejpam-1362	288	4	,	,	PUNCT
ejpam-1362	288	5	2011	2011	NUM
ejpam-1362	288	6	.	.	PUNCT
ejpam-1362	289	1	[	[	X
ejpam-1362	289	2	4	4	NUM
ejpam-1362	289	3	]	]	PUNCT
ejpam-1362	289	4	e	e	X
ejpam-1362	289	5	cantoni	cantoni	NOUN
ejpam-1362	289	6	and	and	CCONJ
ejpam-1362	289	7	e	e	NOUN
ejpam-1362	289	8	ronchetti	ronchetti	PROPN
ejpam-1362	289	9	.	.	PUNCT
ejpam-1362	290	1	resistant	resistant	ADJ
ejpam-1362	290	2	selection	selection	NOUN
ejpam-1362	290	3	of	of	ADP
ejpam-1362	290	4	smoothing	smooth	VERB
ejpam-1362	290	5	parameter	parameter	NOUN
ejpam-1362	290	6	for	for	ADP
ejpam-1362	290	7	smoothing	smooth	VERB
ejpam-1362	290	8	splines	spline	NOUN
ejpam-1362	290	9	.	.	PUNCT
ejpam-1362	291	1	statisics	statisic	NOUN
ejpam-1362	291	2	and	and	CCONJ
ejpam-1362	291	3	computing	computing	NOUN
ejpam-1362	291	4	,	,	PUNCT
ejpam-1362	291	5	11:141–146	11:141–146	NUM
ejpam-1362	291	6	,	,	PUNCT
ejpam-1362	291	7	2001	2001	NUM
ejpam-1362	291	8	.	.	PUNCT
ejpam-1362	292	1	[	[	X
ejpam-1362	292	2	5	5	X
ejpam-1362	292	3	]	]	X
ejpam-1362	292	4	p	p	NOUN
ejpam-1362	292	5	craven	craven	NOUN
ejpam-1362	292	6	and	and	CCONJ
ejpam-1362	292	7	g	g	NOUN
ejpam-1362	292	8	wahba	wahba	NOUN
ejpam-1362	292	9	.	.	PUNCT
ejpam-1362	293	1	smoothing	smooth	VERB
ejpam-1362	293	2	noisy	noisy	ADJ
ejpam-1362	293	3	data	datum	NOUN
ejpam-1362	293	4	with	with	ADP
ejpam-1362	293	5	spline	spline	NOUN
ejpam-1362	293	6	functions	function	NOUN
ejpam-1362	293	7	.	.	PUNCT
ejpam-1362	294	1	numerische	numerische	PROPN
ejpam-1362	294	2	mathematik	mathematik	PROPN
ejpam-1362	294	3	,	,	PUNCT
ejpam-1362	294	4	31:377–403	31:377–403	PROPN
ejpam-1362	294	5	,	,	PUNCT
ejpam-1362	294	6	1979	1979	NUM
ejpam-1362	294	7	.	.	PUNCT
ejpam-1362	295	1	[	[	X
ejpam-1362	295	2	6	6	NUM
ejpam-1362	295	3	]	]	SYM
ejpam-1362	295	4	r	r	NOUN
ejpam-1362	295	5	l	l	NOUN
ejpam-1362	295	6	eubank	eubank	PROPN
ejpam-1362	295	7	.	.	PUNCT
ejpam-1362	296	1	nonparametric	nonparametric	PROPN
ejpam-1362	296	2	regression	regression	NOUN
ejpam-1362	296	3	and	and	CCONJ
ejpam-1362	296	4	smoothing	smooth	VERB
ejpam-1362	296	5	spline	spline	NOUN
ejpam-1362	296	6	.	.	PUNCT
ejpam-1362	297	1	marcel	marcel	PROPN
ejpam-1362	297	2	dekker	dekker	PROPN
ejpam-1362	297	3	inc	inc	PROPN
ejpam-1362	297	4	.	.	PROPN
ejpam-1362	297	5	,	,	PUNCT
ejpam-1362	297	6	new	new	PROPN
ejpam-1362	297	7	york	york	PROPN
ejpam-1362	297	8	,	,	PUNCT
ejpam-1362	297	9	1999	1999	NUM
ejpam-1362	297	10	.	.	PUNCT
ejpam-1362	298	1	[	[	X
ejpam-1362	298	2	7	7	X
ejpam-1362	298	3	]	]	X
ejpam-1362	298	4	p	p	X
ejpam-1362	298	5	j	j	PROPN
ejpam-1362	298	6	green	green	PROPN
ejpam-1362	298	7	and	and	CCONJ
ejpam-1362	298	8	b	b	PROPN
ejpam-1362	298	9	w	w	PROPN
ejpam-1362	298	10	silverman	silverman	PROPN
ejpam-1362	298	11	.	.	PUNCT
ejpam-1362	299	1	nonparametric	nonparametric	PROPN
ejpam-1362	299	2	regression	regression	NOUN
ejpam-1362	299	3	and	and	CCONJ
ejpam-1362	299	4	generalized	generalized	ADJ
ejpam-1362	299	5	linear	linear	PROPN
ejpam-1362	299	6	model	model	NOUN
ejpam-1362	299	7	.	.	PUNCT
ejpam-1362	300	1	chapman	chapman	PROPN
ejpam-1362	300	2	&	&	CCONJ
ejpam-1362	300	3	hall	hall	PROPN
ejpam-1362	300	4	,	,	PUNCT
ejpam-1362	300	5	new	new	PROPN
ejpam-1362	300	6	york	york	PROPN
ejpam-1362	300	7	,	,	PUNCT
ejpam-1362	300	8	usa	usa	PROPN
ejpam-1362	300	9	,	,	PUNCT
ejpam-1362	300	10	1994	1994	NUM
ejpam-1362	300	11	.	.	PUNCT
ejpam-1362	301	1	[	[	X
ejpam-1362	301	2	8	8	NUM
ejpam-1362	301	3	]	]	X
ejpam-1362	301	4	w	w	NOUN
ejpam-1362	301	5	hardle	hardle	NOUN
ejpam-1362	301	6	.	.	PUNCT
ejpam-1362	302	1	applied	apply	VERB
ejpam-1362	302	2	nonparametric	nonparametric	ADJ
ejpam-1362	302	3	regression	regression	NOUN
ejpam-1362	302	4	.	.	PUNCT
ejpam-1362	303	1	cambridge	cambridge	PROPN
ejpam-1362	303	2	university	university	PROPN
ejpam-1362	303	3	press	press	PROPN
ejpam-1362	303	4	,	,	PUNCT
ejpam-1362	303	5	cambridge	cambridge	PROPN
ejpam-1362	303	6	,	,	PUNCT
ejpam-1362	303	7	1991	1991	NUM
ejpam-1362	303	8	.	.	PUNCT
ejpam-1362	304	1	[	[	X
ejpam-1362	304	2	9	9	NUM
ejpam-1362	304	3	]	]	SYM
ejpam-1362	304	4	w	w	NOUN
ejpam-1362	304	5	hardle	hardle	NOUN
ejpam-1362	304	6	,	,	PUNCT
ejpam-1362	304	7	p	p	NOUN
ejpam-1362	304	8	hall	hall	NOUN
ejpam-1362	304	9	,	,	PUNCT
ejpam-1362	304	10	and	and	CCONJ
ejpam-1362	304	11	j	j	PROPN
ejpam-1362	304	12	s	s	PROPN
ejpam-1362	304	13	marron	marron	PROPN
ejpam-1362	304	14	.	.	PUNCT
ejpam-1362	305	1	how	how	SCONJ
ejpam-1362	305	2	far	far	ADV
ejpam-1362	305	3	are	be	AUX
ejpam-1362	305	4	automatically	automatically	ADV
ejpam-1362	305	5	chosen	choose	VERB
ejpam-1362	305	6	regression	regression	NOUN
ejpam-1362	305	7	smoothing	smooth	VERB
ejpam-1362	305	8	parameters	parameter	NOUN
ejpam-1362	305	9	from	from	ADP
ejpam-1362	305	10	their	their	PRON
ejpam-1362	305	11	optimum	optimum	NOUN
ejpam-1362	305	12	?	?	PUNCT
ejpam-1362	306	1	(	(	PUNCT
ejpam-1362	306	2	with	with	ADP
ejpam-1362	306	3	discussion	discussion	NOUN
ejpam-1362	306	4	)	)	PUNCT
ejpam-1362	306	5	.	.	PUNCT
ejpam-1362	307	1	journal	journal	NOUN
ejpam-1362	307	2	of	of	ADP
ejpam-1362	307	3	the	the	DET
ejpam-1362	307	4	american	american	PROPN
ejpam-1362	307	5	statistical	statistical	PROPN
ejpam-1362	307	6	association	association	PROPN
ejpam-1362	307	7	,	,	PUNCT
ejpam-1362	307	8	83:86–89	83:86–89	NUM
ejpam-1362	307	9	,	,	PUNCT
ejpam-1362	307	10	1988	1988	NUM
ejpam-1362	307	11	.	.	PUNCT
ejpam-1362	308	1	[	[	X
ejpam-1362	308	2	10	10	NUM
ejpam-1362	308	3	]	]	PUNCT
ejpam-1362	308	4	t	t	PROPN
ejpam-1362	308	5	hastie	hastie	PROPN
ejpam-1362	308	6	and	and	CCONJ
ejpam-1362	308	7	r	r	NOUN
ejpam-1362	308	8	j	j	PROPN
ejpam-1362	308	9	tibshirani	tibshirani	PROPN
ejpam-1362	308	10	.	.	PUNCT
ejpam-1362	309	1	generalized	generalize	VERB
ejpam-1362	309	2	additive	additive	ADJ
ejpam-1362	309	3	models	model	NOUN
ejpam-1362	309	4	.	.	PUNCT
ejpam-1362	310	1	chapman	chapman	PROPN
ejpam-1362	310	2	&	&	CCONJ
ejpam-1362	310	3	hall	hall	PROPN
ejpam-1362	310	4	,	,	PUNCT
ejpam-1362	310	5	london	london	PROPN
ejpam-1362	310	6	,	,	PUNCT
ejpam-1362	310	7	1999	1999	NUM
ejpam-1362	310	8	.	.	PUNCT
ejpam-1362	311	1	[	[	X
ejpam-1362	311	2	11	11	NUM
ejpam-1362	311	3	]	]	X
ejpam-1362	311	4	c	c	PROPN
ejpam-1362	311	5	m	m	PROPN
ejpam-1362	311	6	hurvich	hurvich	PROPN
ejpam-1362	311	7	,	,	PUNCT
ejpam-1362	311	8	j	j	PROPN
ejpam-1362	311	9	s	s	VERB
ejpam-1362	311	10	simonoff	simonoff	NOUN
ejpam-1362	311	11	,	,	PUNCT
ejpam-1362	311	12	and	and	CCONJ
ejpam-1362	311	13	c	c	PROPN
ejpam-1362	311	14	l	l	PROPN
ejpam-1362	311	15	tasi	tasi	PROPN
ejpam-1362	311	16	.	.	PUNCT
ejpam-1362	311	17	smoothing	smooth	VERB
ejpam-1362	311	18	parameter	parameter	NOUN
ejpam-1362	311	19	selection	selection	NOUN
ejpam-1362	311	20	in	in	ADP
ejpam-1362	311	21	nonparametric	nonparametric	ADJ
ejpam-1362	311	22	regression	regression	NOUN
ejpam-1362	311	23	using	use	VERB
ejpam-1362	311	24	an	an	DET
ejpam-1362	311	25	improved	improve	VERB
ejpam-1362	311	26	akaike	akaike	ADJ
ejpam-1362	311	27	information	information	NOUN
ejpam-1362	311	28	criterion	criterion	NOUN
ejpam-1362	311	29	.	.	PUNCT
ejpam-1362	312	1	journal	journal	NOUN
ejpam-1362	312	2	of	of	ADP
ejpam-1362	312	3	the	the	DET
ejpam-1362	312	4	royal	royal	ADJ
ejpam-1362	312	5	statistical	statistical	ADJ
ejpam-1362	312	6	society	society	NOUN
ejpam-1362	312	7	.	.	PUNCT
ejpam-1362	313	1	series	series	PROPN
ejpam-1362	313	2	b	b	PROPN
ejpam-1362	313	3	(	(	PUNCT
ejpam-1362	313	4	statistical	statistical	ADJ
ejpam-1362	313	5	methodology	methodology	NOUN
ejpam-1362	313	6	)	)	PUNCT
ejpam-1362	313	7	,	,	PUNCT
ejpam-1362	313	8	60:271–293	60:271–293	PROPN
ejpam-1362	313	9	,	,	PUNCT
ejpam-1362	313	10	1998	1998	NUM
ejpam-1362	313	11	.	.	PUNCT
ejpam-1362	314	1	[	[	X
ejpam-1362	314	2	12	12	NUM
ejpam-1362	314	3	]	]	X
ejpam-1362	314	4	s	s	PROPN
ejpam-1362	314	5	c	c	X
ejpam-1362	314	6	kou	kou	PROPN
ejpam-1362	314	7	.	.	PUNCT
ejpam-1362	315	1	on	on	ADP
ejpam-1362	315	2	the	the	DET
ejpam-1362	315	3	efficiency	efficiency	NOUN
ejpam-1362	315	4	of	of	ADP
ejpam-1362	315	5	selection	selection	NOUN
ejpam-1362	315	6	criteria	criterion	NOUN
ejpam-1362	315	7	in	in	ADP
ejpam-1362	315	8	spline	spline	NOUN
ejpam-1362	315	9	regression	regression	NOUN
ejpam-1362	315	10	.	.	PUNCT
ejpam-1362	316	1	probability	probability	NOUN
ejpam-1362	316	2	theory	theory	NOUN
ejpam-1362	316	3	and	and	CCONJ
ejpam-1362	316	4	related	related	ADJ
ejpam-1362	316	5	fields	field	NOUN
ejpam-1362	316	6	,	,	PUNCT
ejpam-1362	316	7	127:153–176	127:153–176	NUM
ejpam-1362	316	8	,	,	PUNCT
ejpam-1362	316	9	2003	2003	NUM
ejpam-1362	316	10	.	.	PUNCT
ejpam-1362	317	1	references	reference	NOUN
ejpam-1362	317	2	233	233	NUM
ejpam-1362	318	1	[	[	X
ejpam-1362	318	2	13	13	NUM
ejpam-1362	318	3	]	]	PUNCT
ejpam-1362	318	4	t	t	PROPN
ejpam-1362	318	5	krivobokova	krivobokova	PROPN
ejpam-1362	318	6	,	,	PUNCT
ejpam-1362	318	7	c	c	PROPN
ejpam-1362	318	8	m	m	PROPN
ejpam-1362	318	9	crainiceanu	crainiceanu	NOUN
ejpam-1362	318	10	,	,	PUNCT
ejpam-1362	318	11	and	and	CCONJ
ejpam-1362	318	12	g	g	PROPN
ejpam-1362	318	13	kauermann	kauermann	NOUN
ejpam-1362	318	14	.	.	PUNCT
ejpam-1362	319	1	fast	fast	ADJ
ejpam-1362	319	2	adaptive	adaptive	ADJ
ejpam-1362	319	3	penalized	penalize	VERB
ejpam-1362	319	4	splines	spline	NOUN
ejpam-1362	319	5	.	.	PUNCT
ejpam-1362	320	1	journal	journal	NOUN
ejpam-1362	320	2	of	of	ADP
ejpam-1362	320	3	computational	computational	ADJ
ejpam-1362	320	4	and	and	CCONJ
ejpam-1362	320	5	graphical	graphical	ADJ
ejpam-1362	320	6	statistics	statistic	NOUN
ejpam-1362	320	7	,	,	PUNCT
ejpam-1362	320	8	17:1–20	17:1–20	NUM
ejpam-1362	320	9	,	,	PUNCT
ejpam-1362	320	10	2008	2008	NUM
ejpam-1362	320	11	.	.	PUNCT
ejpam-1362	321	1	[	[	X
ejpam-1362	321	2	14	14	NUM
ejpam-1362	321	3	]	]	X
ejpam-1362	321	4	t	t	PROPN
ejpam-1362	321	5	krivobokova	krivobokova	PROPN
ejpam-1362	321	6	and	and	CCONJ
ejpam-1362	321	7	g	g	PROPN
ejpam-1362	321	8	kauermann	kauermann	PROPN
ejpam-1362	321	9	.	.	PUNCT
ejpam-1362	322	1	a	a	DET
ejpam-1362	322	2	note	note	NOUN
ejpam-1362	322	3	on	on	ADP
ejpam-1362	322	4	penalized	penalize	VERB
ejpam-1362	322	5	spline	spline	NOUN
ejpam-1362	322	6	smoothing	smoothing	NOUN
ejpam-1362	322	7	with	with	ADP
ejpam-1362	322	8	correlated	correlate	VERB
ejpam-1362	322	9	errors	error	NOUN
ejpam-1362	322	10	.	.	PUNCT
ejpam-1362	323	1	journal	journal	NOUN
ejpam-1362	323	2	of	of	ADP
ejpam-1362	323	3	the	the	DET
ejpam-1362	323	4	american	american	PROPN
ejpam-1362	323	5	statistical	statistical	PROPN
ejpam-1362	323	6	association	association	NOUN
ejpam-1362	323	7	,	,	PUNCT
ejpam-1362	323	8	102:1328–337	102:1328–337	NOUN
ejpam-1362	323	9	,	,	PUNCT
ejpam-1362	323	10	2007	2007	NUM
ejpam-1362	323	11	.	.	PUNCT
ejpam-1362	324	1	[	[	X
ejpam-1362	324	2	15	15	NUM
ejpam-1362	324	3	]	]	X
ejpam-1362	324	4	t	t	PROPN
ejpam-1362	324	5	c	c	AUX
ejpam-1362	324	6	m	m	VERB
ejpam-1362	324	7	lee	lee	PROPN
ejpam-1362	324	8	.	.	PROPN
ejpam-1362	324	9	smoothing	smooth	VERB
ejpam-1362	324	10	parameter	parameter	NOUN
ejpam-1362	324	11	selection	selection	NOUN
ejpam-1362	324	12	for	for	ADP
ejpam-1362	324	13	smoothing	smooth	VERB
ejpam-1362	324	14	splines	spline	NOUN
ejpam-1362	324	15	:	:	PUNCT
ejpam-1362	324	16	a	a	DET
ejpam-1362	324	17	simulation	simulation	NOUN
ejpam-1362	324	18	study	study	NOUN
ejpam-1362	324	19	.	.	PUNCT
ejpam-1362	325	1	computational	computational	ADJ
ejpam-1362	325	2	statistics	statistic	NOUN
ejpam-1362	325	3	&	&	CCONJ
ejpam-1362	325	4	data	datum	NOUN
ejpam-1362	325	5	analysis	analysis	NOUN
ejpam-1362	325	6	,	,	PUNCT
ejpam-1362	325	7	42:139–148	42:139–148	PROPN
ejpam-1362	325	8	,	,	PUNCT
ejpam-1362	325	9	2003	2003	NUM
ejpam-1362	325	10	.	.	PUNCT
ejpam-1362	326	1	[	[	X
ejpam-1362	326	2	16	16	NUM
ejpam-1362	326	3	]	]	X
ejpam-1362	326	4	t	t	PROPN
ejpam-1362	326	5	c	c	PROPN
ejpam-1362	326	6	m	m	VERB
ejpam-1362	326	7	lee	lee	PROPN
ejpam-1362	326	8	.	.	PROPN
ejpam-1362	326	9	improved	improved	ADJ
ejpam-1362	326	10	smoothing	smooth	VERB
ejpam-1362	326	11	spline	spline	NOUN
ejpam-1362	326	12	regression	regression	NOUN
ejpam-1362	326	13	by	by	ADP
ejpam-1362	326	14	combining	combine	VERB
ejpam-1362	326	15	estimates	estimate	NOUN
ejpam-1362	326	16	of	of	ADP
ejpam-1362	326	17	different	different	ADJ
ejpam-1362	326	18	smoothness	smoothness	NOUN
ejpam-1362	326	19	.	.	PUNCT
ejpam-1362	327	1	statistics	statistic	NOUN
ejpam-1362	327	2	&	&	CCONJ
ejpam-1362	327	3	probability	probability	NOUN
ejpam-1362	327	4	letters	letter	NOUN
ejpam-1362	327	5	,	,	PUNCT
ejpam-1362	327	6	67:133–140	67:133–140	PROPN
ejpam-1362	327	7	,	,	PUNCT
ejpam-1362	327	8	2004	2004	NUM
ejpam-1362	327	9	.	.	PUNCT
ejpam-1362	328	1	[	[	X
ejpam-1362	328	2	17	17	NUM
ejpam-1362	328	3	]	]	X
ejpam-1362	328	4	t	t	PROPN
ejpam-1362	328	5	c	c	PROPN
ejpam-1362	328	6	m	m	VERB
ejpam-1362	328	7	lee	lee	PROPN
ejpam-1362	328	8	and	and	CCONJ
ejpam-1362	328	9	v	v	ADP
ejpam-1362	328	10	solo	solo	NOUN
ejpam-1362	328	11	.	.	PUNCT
ejpam-1362	329	1	bandwidth	bandwidth	ADJ
ejpam-1362	329	2	selection	selection	NOUN
ejpam-1362	329	3	for	for	ADP
ejpam-1362	329	4	local	local	ADJ
ejpam-1362	329	5	linear	linear	PROPN
ejpam-1362	329	6	regression	regression	NOUN
ejpam-1362	329	7	:	:	PUNCT
ejpam-1362	329	8	a	a	DET
ejpam-1362	329	9	simulation	simulation	NOUN
ejpam-1362	329	10	study	study	NOUN
ejpam-1362	329	11	.	.	PUNCT
ejpam-1362	330	1	computational	computational	ADJ
ejpam-1362	330	2	statistics	statistic	NOUN
ejpam-1362	330	3	&	&	CCONJ
ejpam-1362	330	4	data	datum	NOUN
ejpam-1362	330	5	analysis	analysis	NOUN
ejpam-1362	330	6	,	,	PUNCT
ejpam-1362	330	7	14:515–532	14:515–532	PROPN
ejpam-1362	330	8	,	,	PUNCT
ejpam-1362	330	9	1999	1999	NUM
ejpam-1362	330	10	.	.	PUNCT
ejpam-1362	331	1	[	[	X
ejpam-1362	331	2	18	18	NUM
ejpam-1362	331	3	]	]	SYM
ejpam-1362	331	4	c	c	NOUN
ejpam-1362	331	5	mallows	mallow	NOUN
ejpam-1362	331	6	’	'	PUNCT
ejpam-1362	331	7	.	.	PUNCT
ejpam-1362	332	1	some	some	DET
ejpam-1362	332	2	comments	comment	NOUN
ejpam-1362	332	3	on	on	ADP
ejpam-1362	332	4	cp	cp	PROPN
ejpam-1362	332	5	.	.	PROPN
ejpam-1362	332	6	technometrics	technometrics	PROPN
ejpam-1362	332	7	,	,	PUNCT
ejpam-1362	332	8	15:661–375	15:661–375	PROPN
ejpam-1362	332	9	,	,	PUNCT
ejpam-1362	332	10	1973	1973	NUM
ejpam-1362	332	11	.	.	PUNCT
ejpam-1362	333	1	[	[	X
ejpam-1362	333	2	19	19	NUM
ejpam-1362	333	3	]	]	X
ejpam-1362	333	4	j	j	PROPN
ejpam-1362	333	5	rice	rice	NOUN
ejpam-1362	333	6	.	.	PUNCT
ejpam-1362	334	1	bandwidth	bandwidth	ADJ
ejpam-1362	334	2	choice	choice	NOUN
ejpam-1362	334	3	for	for	ADP
ejpam-1362	334	4	nonparametric	nonparametric	ADJ
ejpam-1362	334	5	regression	regression	NOUN
ejpam-1362	334	6	.	.	PUNCT
ejpam-1362	335	1	annals	annal	NOUN
ejpam-1362	335	2	of	of	ADP
ejpam-1362	335	3	statistics	statistic	NOUN
ejpam-1362	335	4	,	,	PUNCT
ejpam-1362	335	5	12:1215	12:1215	NUM
ejpam-1362	335	6	–	–	PUNCT
ejpam-1362	335	7	1230	1230	NUM
ejpam-1362	335	8	,	,	PUNCT
ejpam-1362	335	9	1984	1984	NUM
ejpam-1362	335	10	.	.	PUNCT
ejpam-1362	336	1	[	[	X
ejpam-1362	336	2	20	20	NUM
ejpam-1362	336	3	]	]	PUNCT
ejpam-1362	336	4	t	t	PROPN
ejpam-1362	336	5	robinson	robinson	PROPN
ejpam-1362	336	6	and	and	CCONJ
ejpam-1362	336	7	r	r	NOUN
ejpam-1362	336	8	moyeed	moyeed	NOUN
ejpam-1362	336	9	.	.	PUNCT
ejpam-1362	337	1	making	make	VERB
ejpam-1362	337	2	robust	robust	ADJ
ejpam-1362	337	3	the	the	DET
ejpam-1362	337	4	cross	cross	ADJ
ejpam-1362	337	5	-	-	ADJ
ejpam-1362	337	6	validation	validation	ADJ
ejpam-1362	337	7	choice	choice	NOUN
ejpam-1362	337	8	of	of	ADP
ejpam-1362	337	9	smoothing	smooth	VERB
ejpam-1362	337	10	parameter	parameter	NOUN
ejpam-1362	337	11	in	in	ADP
ejpam-1362	337	12	spline	spline	NOUN
ejpam-1362	337	13	regression	regression	NOUN
ejpam-1362	337	14	.	.	PUNCT
ejpam-1362	338	1	communications	communication	NOUN
ejpam-1362	338	2	in	in	ADP
ejpam-1362	338	3	statistics	statistic	NOUN
ejpam-1362	338	4	theory	theory	NOUN
ejpam-1362	338	5	and	and	CCONJ
ejpam-1362	338	6	methods	method	NOUN
ejpam-1362	338	7	,	,	PUNCT
ejpam-1362	338	8	18:523	18:523	NUM
ejpam-1362	338	9	–	–	PUNCT
ejpam-1362	338	10	539	539	NUM
ejpam-1362	338	11	,	,	PUNCT
ejpam-1362	338	12	1989	1989	NUM
ejpam-1362	338	13	.	.	PUNCT
ejpam-1362	339	1	[	[	X
ejpam-1362	339	2	21	21	NUM
ejpam-1362	339	3	]	]	X
ejpam-1362	339	4	d	d	X
ejpam-1362	339	5	ruppert	ruppert	X
ejpam-1362	339	6	,	,	PUNCT
ejpam-1362	339	7	m	m	VERB
ejpam-1362	339	8	p	p	NOUN
ejpam-1362	339	9	wand	wand	NOUN
ejpam-1362	339	10	,	,	PUNCT
ejpam-1362	339	11	and	and	CCONJ
ejpam-1362	339	12	r	r	NOUN
ejpam-1362	339	13	j	j	PROPN
ejpam-1362	339	14	carroll	carroll	PROPN
ejpam-1362	339	15	.	.	PUNCT
ejpam-1362	340	1	semiparametric	semiparametric	PROPN
ejpam-1362	340	2	regression	regression	NOUN
ejpam-1362	340	3	.	.	PUNCT
ejpam-1362	341	1	cambridge	cambridge	PROPN
ejpam-1362	341	2	university	university	PROPN
ejpam-1362	341	3	press	press	PROPN
ejpam-1362	341	4	,	,	PUNCT
ejpam-1362	341	5	cambridge	cambridge	PROPN
ejpam-1362	341	6	,	,	PUNCT
ejpam-1362	341	7	2003	2003	NUM
ejpam-1362	341	8	.	.	PUNCT
ejpam-1362	342	1	[	[	X
ejpam-1362	342	2	22	22	NUM
ejpam-1362	342	3	]	]	X
ejpam-1362	342	4	g	g	PROPN
ejpam-1362	342	5	m	m	PROPN
ejpam-1362	342	6	schimek	schimek	NOUN
ejpam-1362	342	7	.	.	PUNCT
ejpam-1362	343	1	smoothing	smoothing	NOUN
ejpam-1362	343	2	and	and	CCONJ
ejpam-1362	343	3	regression	regression	NOUN
ejpam-1362	343	4	:	:	PUNCT
ejpam-1362	343	5	approaches	approach	NOUN
ejpam-1362	343	6	,	,	PUNCT
ejpam-1362	343	7	computation	computation	NOUN
ejpam-1362	343	8	,	,	PUNCT
ejpam-1362	343	9	and	and	CCONJ
ejpam-1362	343	10	application	application	NOUN
ejpam-1362	343	11	.	.	PUNCT
ejpam-1362	344	1	john	john	PROPN
ejpam-1362	344	2	willey	willey	PROPN
ejpam-1362	344	3	&	&	CCONJ
ejpam-1362	344	4	sons	sons	PROPN
ejpam-1362	344	5	,	,	PUNCT
ejpam-1362	344	6	inc	inc	PROPN
ejpam-1362	344	7	.	.	PROPN
ejpam-1362	344	8	,	,	PUNCT
ejpam-1362	344	9	usa	usa	PROPN
ejpam-1362	344	10	,	,	PUNCT
ejpam-1362	344	11	2000	2000	NUM
ejpam-1362	344	12	.	.	PUNCT
ejpam-1362	345	1	[	[	X
ejpam-1362	345	2	23	23	NUM
ejpam-1362	345	3	]	]	X
ejpam-1362	345	4	r	r	NOUN
ejpam-1362	345	5	shibata	shibata	NOUN
ejpam-1362	345	6	.	.	PUNCT
ejpam-1362	346	1	an	an	DET
ejpam-1362	346	2	optimal	optimal	ADJ
ejpam-1362	346	3	selection	selection	NOUN
ejpam-1362	346	4	of	of	ADP
ejpam-1362	346	5	regression	regression	NOUN
ejpam-1362	346	6	variables	variable	NOUN
ejpam-1362	346	7	.	.	PUNCT
ejpam-1362	347	1	biometrika	biometrika	NOUN
ejpam-1362	347	2	,	,	PUNCT
ejpam-1362	347	3	68(1):45–45	68(1):45–45	NUM
ejpam-1362	347	4	,	,	PUNCT
ejpam-1362	347	5	1981	1981	NUM
ejpam-1362	347	6	.	.	PUNCT
ejpam-1362	348	1	[	[	X
ejpam-1362	348	2	24	24	NUM
ejpam-1362	348	3	]	]	X
ejpam-1362	348	4	m	m	VERB
ejpam-1362	348	5	stone	stone	NOUN
ejpam-1362	348	6	.	.	PUNCT
ejpam-1362	349	1	an	an	DET
ejpam-1362	349	2	asymptotic	asymptotic	ADJ
ejpam-1362	349	3	equivalence	equivalence	NOUN
ejpam-1362	349	4	of	of	ADP
ejpam-1362	349	5	choice	choice	NOUN
ejpam-1362	349	6	of	of	ADP
ejpam-1362	349	7	model	model	NOUN
ejpam-1362	349	8	by	by	ADP
ejpam-1362	349	9	cross	cross	NOUN
ejpam-1362	349	10	-	-	ADJ
ejpam-1362	349	11	validation	validation	ADJ
ejpam-1362	349	12	and	and	CCONJ
ejpam-1362	349	13	akaike	akaike	ADJ
ejpam-1362	349	14	’s	’s	PART
ejpam-1362	349	15	criterion	criterion	NOUN
ejpam-1362	349	16	.	.	PUNCT
ejpam-1362	350	1	journal	journal	NOUN
ejpam-1362	350	2	of	of	ADP
ejpam-1362	350	3	the	the	DET
ejpam-1362	350	4	royal	royal	ADJ
ejpam-1362	350	5	statistical	statistical	ADJ
ejpam-1362	350	6	society	society	NOUN
ejpam-1362	350	7	.	.	PUNCT
ejpam-1362	351	1	series	series	PROPN
ejpam-1362	351	2	b	b	PROPN
ejpam-1362	351	3	(	(	PUNCT
ejpam-1362	351	4	statistical	statistical	ADJ
ejpam-1362	351	5	methodology	methodology	NOUN
ejpam-1362	351	6	)	)	PUNCT
ejpam-1362	351	7	,	,	PUNCT
ejpam-1362	351	8	39:44–47	39:44–47	NUM
ejpam-1362	351	9	,	,	PUNCT
ejpam-1362	351	10	1977	1977	NUM
ejpam-1362	351	11	.	.	PUNCT
ejpam-1362	352	1	[	[	X
ejpam-1362	352	2	25	25	NUM
ejpam-1362	352	3	]	]	X
ejpam-1362	352	4	g	g	NOUN
ejpam-1362	352	5	wahba	wahba	NOUN
ejpam-1362	352	6	.	.	PUNCT
ejpam-1362	353	1	a	a	DET
ejpam-1362	353	2	comparison	comparison	NOUN
ejpam-1362	353	3	of	of	ADP
ejpam-1362	353	4	gcv	gcv	PROPN
ejpam-1362	353	5	and	and	CCONJ
ejpam-1362	353	6	gml	gml	NOUN
ejpam-1362	353	7	for	for	ADP
ejpam-1362	353	8	choosing	choose	VERB
ejpam-1362	353	9	the	the	DET
ejpam-1362	353	10	smoothing	smooth	VERB
ejpam-1362	353	11	parameter	parameter	NOUN
ejpam-1362	353	12	in	in	ADP
ejpam-1362	353	13	the	the	DET
ejpam-1362	353	14	generalized	generalized	ADJ
ejpam-1362	353	15	spline	spline	NOUN
ejpam-1362	353	16	smoothing	smoothing	NOUN
ejpam-1362	353	17	problem	problem	NOUN
ejpam-1362	353	18	.	.	PUNCT
ejpam-1362	354	1	annals	annal	NOUN
ejpam-1362	354	2	of	of	ADP
ejpam-1362	354	3	statistics	statistic	NOUN
ejpam-1362	354	4	,	,	PUNCT
ejpam-1362	354	5	13:1378–1402	13:1378–1402	NUM
ejpam-1362	354	6	,	,	PUNCT
ejpam-1362	354	7	1985	1985	NUM
ejpam-1362	354	8	.	.	PUNCT
ejpam-1362	355	1	[	[	X
ejpam-1362	355	2	26	26	NUM
ejpam-1362	355	3	]	]	X
ejpam-1362	355	4	g	g	NOUN
ejpam-1362	355	5	wahba	wahba	NOUN
ejpam-1362	355	6	.	.	PUNCT
ejpam-1362	356	1	spline	spline	NOUN
ejpam-1362	356	2	model	model	NOUN
ejpam-1362	356	3	for	for	ADP
ejpam-1362	356	4	observational	observational	ADJ
ejpam-1362	356	5	data	datum	NOUN
ejpam-1362	356	6	.	.	PUNCT
ejpam-1362	357	1	siam	siam	PROPN
ejpam-1362	357	2	,	,	PUNCT
ejpam-1362	357	3	philadelphia	philadelphia	PROPN
ejpam-1362	357	4	,	,	PUNCT
ejpam-1362	357	5	1990	1990	NUM
ejpam-1362	357	6	.	.	PUNCT
ejpam-1362	358	1	[	[	X
ejpam-1362	358	2	27	27	NUM
ejpam-1362	358	3	]	]	X
ejpam-1362	358	4	c	c	PROPN
ejpam-1362	358	5	yanrong	yanrong	PROPN
ejpam-1362	358	6	,	,	PUNCT
ejpam-1362	358	7	z	z	PROPN
ejpam-1362	358	8	w	w	PROPN
ejpam-1362	358	9	tracy	tracy	PROPN
ejpam-1362	358	10	l	l	PROPN
ejpam-1362	358	11	haiqun	haiqun	PROPN
ejpam-1362	358	12	,	,	PUNCT
ejpam-1362	358	13	and	and	CCONJ
ejpam-1362	358	14	y	y	PROPN
ejpam-1362	358	15	yan	yan	PROPN
ejpam-1362	358	16	.	.	PROPN
ejpam-1362	358	17	penalized	penalize	VERB
ejpam-1362	358	18	spline	spline	NOUN
ejpam-1362	358	19	estimation	estimation	NOUN
ejpam-1362	358	20	for	for	ADP
ejpam-1362	358	21	functional	functional	ADJ
ejpam-1362	358	22	coefficient	coefficient	NOUN
ejpam-1362	358	23	regression	regression	NOUN
ejpam-1362	358	24	models	model	NOUN
ejpam-1362	358	25	.	.	PUNCT
ejpam-1362	359	1	computational	computational	ADJ
ejpam-1362	359	2	statistics	statistic	NOUN
ejpam-1362	359	3	and	and	CCONJ
ejpam-1362	359	4	data	datum	NOUN
ejpam-1362	359	5	analysis	analysis	NOUN
ejpam-1362	359	6	,	,	PUNCT
ejpam-1362	359	7	54:891–905	54:891–905	PROPN
ejpam-1362	359	8	,	,	PUNCT
ejpam-1362	359	9	2010	2010	NUM
ejpam-1362	359	10	.	.	PUNCT
ejpam-1362	360	1	simulation	simulation	NOUN
ejpam-1362	360	2	results	result	VERB
ejpam-1362	360	3	references	reference	VERB
ejpam-1362	360	4	234	234	NUM
ejpam-1362	360	5	figure	figure	NOUN
ejpam-1362	360	6	a1	a1	NOUN
ejpam-1362	360	7	:	:	PUNCT
ejpam-1362	360	8	simulation	simulation	NOUN
ejpam-1362	360	9	results	result	NOUN
ejpam-1362	360	10	correspond	correspond	VERB
ejpam-1362	360	11	to	to	ADP
ejpam-1362	360	12	the	the	DET
ejpam-1362	360	13	noise	noise	NOUN
ejpam-1362	360	14	level	level	NOUN
ejpam-1362	360	15	factor	factor	NOUN
ejpam-1362	360	16	for	for	ADP
ejpam-1362	360	17	n=	n=	ADJ
ejpam-1362	360	18	25	25	NUM
ejpam-1362	360	19	.	.	PUNCT
ejpam-1362	360	20	figure	figure	NOUN
ejpam-1362	360	21	a2	a2	PROPN
ejpam-1362	360	22	:	:	PUNCT
ejpam-1362	360	23	simulation	simulation	NOUN
ejpam-1362	360	24	results	result	NOUN
ejpam-1362	360	25	correspond	correspond	VERB
ejpam-1362	360	26	to	to	ADP
ejpam-1362	360	27	the	the	DET
ejpam-1362	360	28	spatial	spatial	ADJ
ejpam-1362	360	29	variation	variation	NOUN
ejpam-1362	360	30	factor	factor	NOUN
ejpam-1362	360	31	for	for	ADP
ejpam-1362	360	32	n=	n=	ADJ
ejpam-1362	360	33	50	50	NUM
ejpam-1362	360	34	.	.	PUNCT
ejpam-1362	361	1	figure	figure	NOUN
ejpam-1362	361	2	a3	a3	NOUN
ejpam-1362	361	3	:	:	PUNCT
ejpam-1362	361	4	simulation	simulation	NOUN
ejpam-1362	361	5	results	result	NOUN
ejpam-1362	361	6	correspond	correspond	VERB
ejpam-1362	361	7	to	to	ADP
ejpam-1362	361	8	the	the	DET
ejpam-1362	361	9	variance	variance	NOUN
ejpam-1362	361	10	factor	factor	NOUN
ejpam-1362	361	11	for	for	ADP
ejpam-1362	361	12	n=	n=	ADJ
ejpam-1362	361	13	100	100	NUM
ejpam-1362	361	14	.	.	PUNCT
ejpam-1362	362	1	references	reference	NOUN
ejpam-1362	362	2	235	235	NUM
ejpam-1362	362	3	figure	figure	NOUN
ejpam-1362	362	4	a4	a4	NUM
ejpam-1362	362	5	:	:	PUNCT
ejpam-1362	362	6	simulation	simulation	NOUN
ejpam-1362	362	7	results	result	NOUN
ejpam-1362	362	8	correspond	correspond	VERB
ejpam-1362	362	9	to	to	ADP
ejpam-1362	362	10	the	the	DET
ejpam-1362	362	11	noise	noise	NOUN
ejpam-1362	362	12	level	level	NOUN
ejpam-1362	362	13	factor	factor	NOUN
ejpam-1362	362	14	for	for	ADP
ejpam-1362	362	15	n=	n=	ADJ
ejpam-1362	362	16	200	200	NUM
ejpam-1362	362	17	.	.	PUNCT
ejpam-1362	363	1	figure	figure	NOUN
ejpam-1362	363	2	a5	a5	PROPN
ejpam-1362	363	3	:	:	PUNCT
ejpam-1362	363	4	simulation	simulation	NOUN
ejpam-1362	363	5	results	result	NOUN
ejpam-1362	363	6	correspond	correspond	VERB
ejpam-1362	363	7	to	to	ADP
ejpam-1362	363	8	the	the	DET
ejpam-1362	363	9	spatial	spatial	ADJ
ejpam-1362	363	10	variation	variation	NOUN
ejpam-1362	363	11	factor	factor	NOUN
ejpam-1362	363	12	for	for	ADP
ejpam-1362	363	13	n=	n=	ADJ
ejpam-1362	363	14	350	350	NUM
ejpam-1362	363	15	.	.	PUNCT
ejpam-1362	364	1	figure	figure	NOUN
ejpam-1362	364	2	a6	a6	NOUN
ejpam-1362	364	3	:	:	PUNCT
ejpam-1362	364	4	simulation	simulation	NOUN
ejpam-1362	364	5	results	result	NOUN
ejpam-1362	364	6	correspond	correspond	VERB
ejpam-1362	364	7	to	to	ADP
ejpam-1362	364	8	the	the	DET
ejpam-1362	364	9	variance	variance	NOUN
ejpam-1362	364	10	factor	factor	NOUN
ejpam-1362	364	11	for	for	ADP
ejpam-1362	364	12	n=	n=	ADJ
ejpam-1362	364	13	400	400	NUM
ejpam-1362	364	14	.	.	PUNCT
ejpam-1362	365	1	references	reference	NOUN
ejpam-1362	365	2	236	236	NUM
ejpam-1362	365	3	table	table	NOUN
ejpam-1362	365	4	a1	a1	NOUN
ejpam-1362	365	5	:	:	PUNCT
ejpam-1362	365	6	averaged	average	VERB
ejpam-1362	365	7	wilcoxon	wilcoxon	ADJ
ejpam-1362	365	8	test	test	NOUN
ejpam-1362	365	9	ranking	rank	VERB
ejpam-1362	365	10	values	value	NOUN
ejpam-1362	365	11	for	for	ADP
ejpam-1362	365	12	the	the	DET
ejpam-1362	365	13	nine	nine	NUM
ejpam-1362	365	14	selection	selection	NOUN
ejpam-1362	365	15	methods	method	NOUN
ejpam-1362	365	16	in	in	ADP
ejpam-1362	365	17	small	small	ADJ
ejpam-1362	365	18	sample	sample	NOUN
ejpam-1362	365	19	sizes	size	NOUN
ejpam-1362	365	20	criteria	criterion	NOUN
ejpam-1362	365	21	noise	noise	NOUN
ejpam-1362	365	22	level	level	NOUN
ejpam-1362	365	23	spatial	spatial	ADJ
ejpam-1362	365	24	variation	variation	NOUN
ejpam-1362	365	25	variance	variance	NOUN
ejpam-1362	365	26	function	function	NOUN
ejpam-1362	365	27	overall	overall	ADV
ejpam-1362	365	28	for	for	ADP
ejpam-1362	365	29	n=	n=	ADJ
ejpam-1362	365	30	25	25	NUM
ejpam-1362	365	31	aicc	aicc	NOUN
ejpam-1362	365	32	4.75	4.75	NUM
ejpam-1362	365	33	5.375	5.375	NUM
ejpam-1362	365	34	5.25	5.25	NUM
ejpam-1362	365	35	5.125	5.125	NUM
ejpam-1362	365	36	rcv	rcv	PROPN
ejpam-1362	365	37	4.875	4.875	NUM
ejpam-1362	365	38	3.250	3.250	NUM
ejpam-1362	365	39	*	*	PUNCT
ejpam-1362	365	40	4.250	4.250	NUM
ejpam-1362	365	41	*	*	SYM
ejpam-1362	365	42	4.125	4.125	NUM
ejpam-1362	365	43	pse	pse	NOUN
ejpam-1362	365	44	8	8	NUM
ejpam-1362	365	45	8.5	8.5	NUM
ejpam-1362	365	46	7	7	NUM
ejpam-1362	365	47	7.83	7.83	NUM
ejpam-1362	365	48	gfaic	gfaic	ADJ
ejpam-1362	365	49	4.625	4.625	NUM
ejpam-1362	365	50	3.250	3.250	NUM
ejpam-1362	365	51	*	*	PUNCT
ejpam-1362	366	1	4.250	4.250	NUM
ejpam-1362	366	2	*	*	PUNCT
ejpam-1362	366	3	4.042	4.042	NUM
ejpam-1362	366	4	gcv	gcv	NOUN
ejpam-1362	366	5	3.750	3.750	NUM
ejpam-1362	366	6	*	*	PUNCT
ejpam-1362	366	7	3.250	3.250	NUM
ejpam-1362	366	8	*	*	PUNCT
ejpam-1362	366	9	4.250	4.250	NUM
ejpam-1362	366	10	*	*	SYM
ejpam-1362	366	11	3.708	3.708	NUM
ejpam-1362	366	12	*	*	PUNCT
ejpam-1362	366	13	cv	cv	PROPN
ejpam-1362	366	14	4.75	4.75	NUM
ejpam-1362	366	15	5.25	5.25	NUM
ejpam-1362	366	16	5.25	5.25	NUM
ejpam-1362	366	17	5.083	5.083	NUM
ejpam-1362	366	18	cp	cp	NUM
ejpam-1362	366	19	4.75	4.75	NUM
ejpam-1362	366	20	5.375	5.375	NUM
ejpam-1362	366	21	5.25	5.25	NUM
ejpam-1362	366	22	5.125	5.125	NUM
ejpam-1362	366	23	rcp	rcp	VERB
ejpam-1362	366	24	4.75	4.75	NUM
ejpam-1362	366	25	5.375	5.375	NUM
ejpam-1362	366	26	5.25	5.25	NUM
ejpam-1362	366	27	5.125	5.125	NUM
ejpam-1362	366	28	lrs	lrs	NOUN
ejpam-1362	366	29	4.75	4.75	NUM
ejpam-1362	366	30	5.375	5.375	NUM
ejpam-1362	366	31	4.250	4.250	NUM
ejpam-1362	366	32	*	*	SYM
ejpam-1362	366	33	4.792	4.792	NUM
ejpam-1362	366	34	for	for	ADP
ejpam-1362	366	35	n=	n=	ADJ
ejpam-1362	366	36	50	50	NUM
ejpam-1362	366	37	aicc	aicc	NOUN
ejpam-1362	366	38	6.125	6.125	NUM
ejpam-1362	366	39	6.25	6.25	NUM
ejpam-1362	366	40	5.625	5.625	NUM
ejpam-1362	366	41	6	6	NUM
ejpam-1362	366	42	rcv	rcv	PROPN
ejpam-1362	366	43	3.625	3.625	NUM
ejpam-1362	366	44	2.625	2.625	NUM
ejpam-1362	366	45	*	*	PUNCT
ejpam-1362	366	46	2.750	2.750	NUM
ejpam-1362	366	47	*	*	SYM
ejpam-1362	366	48	3	3	NUM
ejpam-1362	366	49	pse	pse	NOUN
ejpam-1362	366	50	7	7	NUM
ejpam-1362	366	51	7.625	7.625	NUM
ejpam-1362	366	52	9	9	NUM
ejpam-1362	366	53	7.875	7.875	NUM
ejpam-1362	366	54	gfaic	gfaic	ADJ
ejpam-1362	366	55	3.625	3.625	NUM
ejpam-1362	366	56	2.625	2.625	NUM
ejpam-1362	366	57	*	*	PUNCT
ejpam-1362	366	58	2.750	2.750	NUM
ejpam-1362	366	59	*	*	SYM
ejpam-1362	366	60	3	3	NUM
ejpam-1362	366	61	gcv	gcv	NOUN
ejpam-1362	366	62	2.625	2.625	NUM
ejpam-1362	366	63	*	*	NOUN
ejpam-1362	366	64	2.625	2.625	NUM
ejpam-1362	366	65	*	*	NOUN
ejpam-1362	366	66	2.750	2.750	NUM
ejpam-1362	366	67	*	*	SYM
ejpam-1362	366	68	2.667	2.667	NUM
ejpam-1362	366	69	*	*	NOUN
ejpam-1362	366	70	cv	cv	NOUN
ejpam-1362	366	71	4.375	4.375	NUM
ejpam-1362	366	72	7.625	7.625	NUM
ejpam-1362	366	73	6.125	6.125	NUM
ejpam-1362	366	74	6.042	6.042	NUM
ejpam-1362	366	75	cp	cp	NUM
ejpam-1362	366	76	6.125	6.125	NUM
ejpam-1362	366	77	6.25	6.25	NUM
ejpam-1362	366	78	5.625	5.625	NUM
ejpam-1362	366	79	6	6	NUM
ejpam-1362	366	80	rcp	rcp	VERB
ejpam-1362	366	81	6.125	6.125	NUM
ejpam-1362	366	82	6.25	6.25	NUM
ejpam-1362	366	83	5.625	5.625	NUM
ejpam-1362	366	84	6	6	NUM
ejpam-1362	366	85	lrs	lrs	PROPN
ejpam-1362	366	86	5.375	5.375	NUM
ejpam-1362	366	87	5.375	5.375	NUM
ejpam-1362	366	88	4.75	4.75	NUM
ejpam-1362	366	89	5.167	5.167	NUM
ejpam-1362	366	90	for	for	ADP
ejpam-1362	366	91	n=	n=	ADJ
ejpam-1362	366	92	100	100	NUM
ejpam-1362	366	93	aicc	aicc	NOUN
ejpam-1362	366	94	6.625	6.625	NUM
ejpam-1362	366	95	6.625	6.625	NUM
ejpam-1362	366	96	6.75	6.75	NUM
ejpam-1362	366	97	6.417	6.417	NUM
ejpam-1362	366	98	rcv	rcv	PROPN
ejpam-1362	366	99	2.875	2.875	NUM
ejpam-1362	366	100	2.875	2.875	NUM
ejpam-1362	366	101	2.000	2.000	NUM
ejpam-1362	366	102	*	*	SYM
ejpam-1362	366	103	2.583	2.583	NUM
ejpam-1362	366	104	pse	pse	NOUN
ejpam-1362	366	105	8.125	8.125	NUM
ejpam-1362	366	106	8.5	8.5	NUM
ejpam-1362	366	107	9	9	NUM
ejpam-1362	366	108	8.542	8.542	NUM
ejpam-1362	366	109	gfaic	gfaic	ADJ
ejpam-1362	366	110	2.875	2.875	NUM
ejpam-1362	366	111	2.000	2.000	NUM
ejpam-1362	366	112	*	*	SYM
ejpam-1362	367	1	2.000	2.000	NUM
ejpam-1362	367	2	*	*	NUM
ejpam-1362	367	3	2.292	2.292	NUM
ejpam-1362	367	4	gcv	gcv	NOUN
ejpam-1362	367	5	2.000	2.000	NUM
ejpam-1362	367	6	*	*	SYM
ejpam-1362	367	7	2.000	2.000	NUM
ejpam-1362	367	8	*	*	SYM
ejpam-1362	367	9	2.000	2.000	NUM
ejpam-1362	367	10	*	*	SYM
ejpam-1362	367	11	2.000	2.000	NUM
ejpam-1362	367	12	*	*	PUNCT
ejpam-1362	367	13	cv	cv	NOUN
ejpam-1362	367	14	6.625	6.625	NUM
ejpam-1362	367	15	5.375	5.375	NUM
ejpam-1362	367	16	5.375	5.375	NUM
ejpam-1362	367	17	5.792	5.792	NUM
ejpam-1362	367	18	cp	cp	NUM
ejpam-1362	367	19	6.625	6.625	NUM
ejpam-1362	367	20	6.625	6.625	NUM
ejpam-1362	367	21	6.75	6.75	NUM
ejpam-1362	367	22	6.417	6.417	NUM
ejpam-1362	367	23	rcp	rcp	VERB
ejpam-1362	367	24	6.625	6.625	NUM
ejpam-1362	367	25	6.625	6.625	NUM
ejpam-1362	367	26	6.75	6.75	NUM
ejpam-1362	367	27	6.417	6.417	NUM
ejpam-1362	367	28	lrs	lrs	PROPN
ejpam-1362	367	29	4.875	4.875	NUM
ejpam-1362	367	30	4.875	4.875	NUM
ejpam-1362	367	31	4.375	4.375	NUM
ejpam-1362	367	32	4.7	4.7	NUM
ejpam-1362	367	33	references	reference	NOUN
ejpam-1362	367	34	237	237	NUM
ejpam-1362	367	35	table	table	NOUN
ejpam-1362	367	36	a2	a2	PROPN
ejpam-1362	367	37	:	:	PUNCT
ejpam-1362	367	38	averaged	average	VERB
ejpam-1362	367	39	wilcoxon	wilcoxon	ADJ
ejpam-1362	367	40	test	test	NOUN
ejpam-1362	367	41	ranking	rank	VERB
ejpam-1362	367	42	values	value	NOUN
ejpam-1362	367	43	for	for	ADP
ejpam-1362	367	44	the	the	DET
ejpam-1362	367	45	nine	nine	NUM
ejpam-1362	367	46	selection	selection	NOUN
ejpam-1362	367	47	methods	method	NOUN
ejpam-1362	367	48	in	in	ADP
ejpam-1362	367	49	large	large	ADJ
ejpam-1362	367	50	sample	sample	NOUN
ejpam-1362	367	51	sizes	size	NOUN
ejpam-1362	367	52	criteria	criterion	NOUN
ejpam-1362	367	53	noise	noise	NOUN
ejpam-1362	367	54	level	level	NOUN
ejpam-1362	367	55	spatial	spatial	ADJ
ejpam-1362	367	56	variation	variation	NOUN
ejpam-1362	367	57	variance	variance	NOUN
ejpam-1362	367	58	function	function	NOUN
ejpam-1362	367	59	overall	overall	ADV
ejpam-1362	367	60	for	for	ADP
ejpam-1362	367	61	n=	n=	ADJ
ejpam-1362	367	62	150	150	NUM
ejpam-1362	367	63	aicc	aicc	NOUN
ejpam-1362	367	64	4.25	4.25	NUM
ejpam-1362	367	65	3.500	3.500	NUM
ejpam-1362	367	66	*	*	PUNCT
ejpam-1362	367	67	3.250	3.250	NUM
ejpam-1362	367	68	*	*	SYM
ejpam-1362	367	69	3.667	3.667	NUM
ejpam-1362	367	70	rcv	rcv	PROPN
ejpam-1362	367	71	3.500	3.500	NUM
ejpam-1362	367	72	*	*	NUM
ejpam-1362	367	73	4.75	4.75	NUM
ejpam-1362	367	74	3.250	3.250	NUM
ejpam-1362	367	75	*	*	NUM
ejpam-1362	367	76	3.833	3.833	NUM
ejpam-1362	367	77	pse	pse	NOUN
ejpam-1362	367	78	9	9	NUM
ejpam-1362	367	79	8.625	8.625	NUM
ejpam-1362	367	80	8.875	8.875	NUM
ejpam-1362	367	81	8.833	8.833	NUM
ejpam-1362	367	82	gfaic	gfaic	ADJ
ejpam-1362	367	83	3.500	3.500	NUM
ejpam-1362	367	84	*	*	NOUN
ejpam-1362	367	85	3.500	3.500	NUM
ejpam-1362	367	86	*	*	PUNCT
ejpam-1362	367	87	3.250	3.250	NUM
ejpam-1362	367	88	*	*	SYM
ejpam-1362	367	89	3.417	3.417	NUM
ejpam-1362	367	90	*	*	PUNCT
ejpam-1362	367	91	gcv	gcv	PROPN
ejpam-1362	367	92	4.25	4.25	NUM
ejpam-1362	367	93	3.500	3.500	NUM
ejpam-1362	367	94	*	*	NUM
ejpam-1362	367	95	4.875	4.875	NUM
ejpam-1362	367	96	4.208	4.208	NUM
ejpam-1362	367	97	cv	cv	NOUN
ejpam-1362	367	98	6.375	6.375	NUM
ejpam-1362	367	99	6.875	6.875	NUM
ejpam-1362	367	100	7	7	NUM
ejpam-1362	367	101	6.75	6.75	NUM
ejpam-1362	367	102	cp	cp	NUM
ejpam-1362	367	103	4.25	4.25	NUM
ejpam-1362	367	104	3.500	3.500	NUM
ejpam-1362	367	105	*	*	PUNCT
ejpam-1362	367	106	3.250	3.250	NUM
ejpam-1362	367	107	*	*	SYM
ejpam-1362	367	108	3.667	3.667	NUM
ejpam-1362	367	109	rcp	rcp	VERB
ejpam-1362	367	110	5.125	5.125	NUM
ejpam-1362	367	111	4.5	4.5	NUM
ejpam-1362	367	112	5.75	5.75	NUM
ejpam-1362	367	113	5.125	5.125	NUM
ejpam-1362	367	114	lrs	lrs	PROPN
ejpam-1362	367	115	4.75	4.75	NUM
ejpam-1362	367	116	6.25	6.25	NUM
ejpam-1362	367	117	6	6	NUM
ejpam-1362	367	118	5.667	5.667	NUM
ejpam-1362	367	119	for	for	ADP
ejpam-1362	367	120	n=	n=	ADJ
ejpam-1362	367	121	200	200	NUM
ejpam-1362	367	122	aicc	aicc	NOUN
ejpam-1362	367	123	4.000	4.000	NUM
ejpam-1362	367	124	*	*	SYM
ejpam-1362	367	125	3.750	3.750	NUM
ejpam-1362	367	126	*	*	NUM
ejpam-1362	367	127	2.500	2.500	NUM
ejpam-1362	367	128	*	*	SYM
ejpam-1362	367	129	3.417	3.417	NUM
ejpam-1362	367	130	*	*	PUNCT
ejpam-1362	367	131	rcv	rcv	PROPN
ejpam-1362	367	132	4.000	4.000	NUM
ejpam-1362	367	133	*	*	NUM
ejpam-1362	367	134	3.875	3.875	NUM
ejpam-1362	367	135	2.500	2.500	NUM
ejpam-1362	367	136	*	*	SYM
ejpam-1362	367	137	3.458	3.458	NUM
ejpam-1362	367	138	pse	pse	NOUN
ejpam-1362	367	139	9	9	NUM
ejpam-1362	367	140	9	9	NUM
ejpam-1362	367	141	9	9	NUM
ejpam-1362	367	142	9	9	NUM
ejpam-1362	367	143	gfaic	gfaic	ADJ
ejpam-1362	367	144	4.000	4.000	NUM
ejpam-1362	367	145	*	*	SYM
ejpam-1362	367	146	3.750	3.750	NUM
ejpam-1362	367	147	*	*	NUM
ejpam-1362	367	148	2.500	2.500	NUM
ejpam-1362	367	149	*	*	SYM
ejpam-1362	367	150	3.417	3.417	NUM
ejpam-1362	367	151	*	*	PUNCT
ejpam-1362	367	152	gcv	gcv	PROPN
ejpam-1362	367	153	4.000	4.000	NUM
ejpam-1362	367	154	*	*	NUM
ejpam-1362	367	155	3.750	3.750	NUM
ejpam-1362	367	156	*	*	SYM
ejpam-1362	367	157	4.625	4.625	NUM
ejpam-1362	367	158	4.125	4.125	NUM
ejpam-1362	367	159	cv	cv	NOUN
ejpam-1362	367	160	6.25	6.25	NUM
ejpam-1362	367	161	6.75	6.75	NUM
ejpam-1362	367	162	6.5	6.5	NUM
ejpam-1362	367	163	6.5	6.5	NUM
ejpam-1362	367	164	cp	cp	NUM
ejpam-1362	367	165	4.000	4.000	NUM
ejpam-1362	367	166	*	*	NUM
ejpam-1362	367	167	3.750	3.750	NUM
ejpam-1362	367	168	*	*	NUM
ejpam-1362	367	169	4.625	4.625	NUM
ejpam-1362	367	170	4.125	4.125	NUM
ejpam-1362	367	171	rcp	rcp	NOUN
ejpam-1362	367	172	5	5	NUM
ejpam-1362	367	173	4.75	4.75	NUM
ejpam-1362	367	174	6.5	6.5	NUM
ejpam-1362	367	175	5.417	5.417	NUM
ejpam-1362	367	176	lrs	lrs	PROPN
ejpam-1362	367	177	4.75	4.75	NUM
ejpam-1362	367	178	5.625	5.625	NUM
ejpam-1362	367	179	5.25	5.25	NUM
ejpam-1362	367	180	5.208	5.208	NUM
ejpam-1362	367	181	for	for	ADP
ejpam-1362	367	182	n=	n=	ADJ
ejpam-1362	367	183	350	350	NUM
ejpam-1362	367	184	aicc	aicc	NOUN
ejpam-1362	367	185	3.875	3.875	NUM
ejpam-1362	367	186	3.375	3.375	NUM
ejpam-1362	367	187	*	*	PUNCT
ejpam-1362	367	188	2.875	2.875	NUM
ejpam-1362	367	189	*	*	SYM
ejpam-1362	367	190	3.375	3.375	NUM
ejpam-1362	367	191	rcv	rcv	PROPN
ejpam-1362	367	192	6.5	6.5	NUM
ejpam-1362	367	193	6.625	6.625	NUM
ejpam-1362	367	194	7	7	NUM
ejpam-1362	367	195	6.708	6.708	NUM
ejpam-1362	367	196	pse	pse	NOUN
ejpam-1362	367	197	9	9	NUM
ejpam-1362	367	198	8.75	8.75	NUM
ejpam-1362	367	199	9	9	NUM
ejpam-1362	367	200	8.917	8.917	NUM
ejpam-1362	367	201	gfaic	gfaic	ADJ
ejpam-1362	367	202	2.625	2.625	NUM
ejpam-1362	367	203	*	*	NOUN
ejpam-1362	367	204	3.375	3.375	NUM
ejpam-1362	367	205	*	*	PUNCT
ejpam-1362	367	206	2.875	2.875	NUM
ejpam-1362	367	207	*	*	PUNCT
ejpam-1362	367	208	2.950	2.950	NUM
ejpam-1362	367	209	*	*	PUNCT
ejpam-1362	367	210	gcv	gcv	PROPN
ejpam-1362	367	211	3.875	3.875	NUM
ejpam-1362	367	212	3.375	3.375	NUM
ejpam-1362	367	213	*	*	NUM
ejpam-1362	367	214	3.75	3.75	NUM
ejpam-1362	367	215	3.667	3.667	NUM
ejpam-1362	367	216	cv	cv	NOUN
ejpam-1362	367	217	7.75	7.75	NUM
ejpam-1362	367	218	7.25	7.25	NUM
ejpam-1362	367	219	5.875	5.875	NUM
ejpam-1362	367	220	6.958	6.958	NUM
ejpam-1362	367	221	cp	cp	NUM
ejpam-1362	367	222	3.875	3.875	NUM
ejpam-1362	367	223	3.375	3.375	NUM
ejpam-1362	367	224	*	*	NUM
ejpam-1362	367	225	3.75	3.75	NUM
ejpam-1362	367	226	3.667	3.667	NUM
ejpam-1362	367	227	rcp	rcp	VERB
ejpam-1362	367	228	5	5	NUM
ejpam-1362	367	229	4.625	4.625	NUM
ejpam-1362	367	230	7	7	NUM
ejpam-1362	367	231	5.542	5.542	NUM
ejpam-1362	367	232	lrs	lrs	PROPN
ejpam-1362	367	233	3	3	NUM
ejpam-1362	367	234	4.125	4.125	NUM
ejpam-1362	367	235	2.875	2.875	NUM
ejpam-1362	367	236	*	*	NUM
ejpam-1362	367	237	3.333	3.333	NUM
ejpam-1362	367	238	for	for	ADP
ejpam-1362	367	239	n=	n=	ADJ
ejpam-1362	367	240	400	400	NUM
ejpam-1362	367	241	aicc	aicc	NOUN
ejpam-1362	367	242	4.5	4.5	NUM
ejpam-1362	367	243	3.375	3.375	NUM
ejpam-1362	367	244	*	*	SYM
ejpam-1362	367	245	3.000	3.000	NUM
ejpam-1362	367	246	*	*	SYM
ejpam-1362	367	247	3.625	3.625	NUM
ejpam-1362	367	248	rcv	rcv	PROPN
ejpam-1362	367	249	6.375	6.375	NUM
ejpam-1362	367	250	6.75	6.75	NUM
ejpam-1362	367	251	7.25	7.25	NUM
ejpam-1362	367	252	6.792	6.792	NUM
ejpam-1362	367	253	pse	pse	NOUN
ejpam-1362	367	254	9	9	NUM
ejpam-1362	367	255	9	9	NUM
ejpam-1362	367	256	9	9	NUM
ejpam-1362	367	257	9	9	NUM
ejpam-1362	367	258	gfaic	gfaic	ADV
ejpam-1362	367	259	3.500	3.500	NUM
ejpam-1362	367	260	*	*	SYM
ejpam-1362	367	261	3.375	3.375	NUM
ejpam-1362	367	262	*	*	SYM
ejpam-1362	367	263	3.000	3.000	NUM
ejpam-1362	367	264	*	*	SYM
ejpam-1362	367	265	3.292	3.292	NUM
ejpam-1362	367	266	*	*	PUNCT
ejpam-1362	367	267	gcv	gcv	PROPN
ejpam-1362	367	268	4.5	4.5	NUM
ejpam-1362	367	269	3.375	3.375	NUM
ejpam-1362	367	270	*	*	SYM
ejpam-1362	367	271	3.000	3.000	NUM
ejpam-1362	367	272	*	*	SYM
ejpam-1362	367	273	3.625	3.625	NUM
ejpam-1362	367	274	cv	cv	NOUN
ejpam-1362	367	275	5.75	5.75	NUM
ejpam-1362	367	276	6	6	NUM
ejpam-1362	367	277	5.25	5.25	NUM
ejpam-1362	367	278	5.667	5.667	NUM
ejpam-1362	367	279	cp	cp	NUM
ejpam-1362	367	280	4.5	4.5	NUM
ejpam-1362	367	281	3.375	3.375	NUM
ejpam-1362	367	282	*	*	SYM
ejpam-1362	367	283	3.000	3.000	NUM
ejpam-1362	367	284	*	*	SYM
ejpam-1362	367	285	3.625	3.625	NUM
ejpam-1362	367	286	rcp	rcp	VERB
ejpam-1362	367	287	5.5	5.5	NUM
ejpam-1362	367	288	5	5	NUM
ejpam-1362	367	289	7.25	7.25	NUM
ejpam-1362	367	290	5.917	5.917	NUM
ejpam-1362	367	291	lrs	lrs	PROPN
ejpam-1362	367	292	4.5	4.5	NUM
ejpam-1362	367	293	4.75	4.75	NUM
ejpam-1362	367	294	4.25	4.25	NUM
ejpam-1362	367	295	4.5	4.5	NUM
ejpam-1362	367	296	references	reference	NOUN
ejpam-1362	367	297	238	238	NUM
ejpam-1362	367	298	table	table	NOUN
ejpam-1362	367	299	a3	a3	NOUN
ejpam-1362	367	300	:	:	PUNCT
ejpam-1362	367	301	means	mean	NOUN
ejpam-1362	367	302	of	of	ADP
ejpam-1362	367	303	the	the	DET
ejpam-1362	367	304	averaged	average	VERB
ejpam-1362	367	305	wilcoxon	wilcoxon	PROPN
ejpam-1362	367	306	test	test	NOUN
ejpam-1362	367	307	ranking	rank	VERB
ejpam-1362	367	308	values	value	NOUN
ejpam-1362	367	309	for	for	ADP
ejpam-1362	367	310	the	the	DET
ejpam-1362	367	311	nine	nine	NUM
ejpam-1362	367	312	selection	selection	NOUN
ejpam-1362	367	313	methods	method	NOUN
ejpam-1362	367	314	criteria	criterion	NOUN
ejpam-1362	367	315	noise	noise	NOUN
ejpam-1362	367	316	level	level	NOUN
ejpam-1362	367	317	spatial	spatial	ADJ
ejpam-1362	367	318	variation	variation	NOUN
ejpam-1362	367	319	variance	variance	NOUN
ejpam-1362	367	320	function	function	NOUN
ejpam-1362	367	321	overall	overall	ADV
ejpam-1362	367	322	(	(	PUNCT
ejpam-1362	367	323	means	mean	NOUN
ejpam-1362	367	324	for	for	ADP
ejpam-1362	367	325	n=	n=	ADJ
ejpam-1362	367	326	25,50,100	25,50,100	NUM
ejpam-1362	367	327	)	)	PUNCT
ejpam-1362	367	328	aicc	aicc	NOUN
ejpam-1362	367	329	5.667	5.667	NUM
ejpam-1362	367	330	5.958	5.958	NUM
ejpam-1362	367	331	5.875	5.875	NUM
ejpam-1362	367	332	5.833	5.833	NUM
ejpam-1362	367	333	rcv	rcv	NOUN
ejpam-1362	367	334	3.792	3.792	NUM
ejpam-1362	367	335	2.917	2.917	NUM
ejpam-1362	367	336	3.000	3.000	NUM
ejpam-1362	367	337	*	*	NUM
ejpam-1362	367	338	3.236	3.236	NUM
ejpam-1362	367	339	pse	pse	NOUN
ejpam-1362	367	340	7.708	7.708	NUM
ejpam-1362	367	341	8.208	8.208	NUM
ejpam-1362	367	342	8.333	8.333	NUM
ejpam-1362	367	343	8.083	8.083	NUM
ejpam-1362	367	344	gfaic	gfaic	ADJ
ejpam-1362	367	345	3.708	3.708	NUM
ejpam-1362	367	346	2.625	2.625	NUM
ejpam-1362	367	347	*	*	SYM
ejpam-1362	367	348	3.000	3.000	NUM
ejpam-1362	367	349	*	*	SYM
ejpam-1362	367	350	3.111	3.111	NUM
ejpam-1362	367	351	gcv	gcv	NOUN
ejpam-1362	367	352	2.792	2.792	NUM
ejpam-1362	367	353	*	*	SYM
ejpam-1362	367	354	2.625	2.625	NUM
ejpam-1362	367	355	*	*	SYM
ejpam-1362	367	356	3.000	3.000	NUM
ejpam-1362	367	357	*	*	SYM
ejpam-1362	367	358	2.806	2.806	NUM
ejpam-1362	367	359	*	*	PUNCT
ejpam-1362	367	360	cv	cv	NOUN
ejpam-1362	367	361	5.125	5.125	NUM
ejpam-1362	367	362	6.083	6.083	NUM
ejpam-1362	367	363	5.583	5.583	NUM
ejpam-1362	367	364	5.597	5.597	NUM
ejpam-1362	367	365	cp	cp	NUM
ejpam-1362	367	366	5.667	5.667	NUM
ejpam-1362	367	367	6.083	6.083	NUM
ejpam-1362	367	368	5.875	5.875	NUM
ejpam-1362	367	369	5.875	5.875	NUM
ejpam-1362	367	370	rcp	rcp	VERB
ejpam-1362	367	371	5.667	5.667	NUM
ejpam-1362	367	372	6.083	6.083	NUM
ejpam-1362	367	373	5.875	5.875	NUM
ejpam-1362	367	374	5.875	5.875	NUM
ejpam-1362	367	375	lrs	lrs	PROPN
ejpam-1362	367	376	5	5	NUM
ejpam-1362	367	377	5.208	5.208	NUM
ejpam-1362	367	378	4.458	4.458	NUM
ejpam-1362	367	379	4.889	4.889	NUM
ejpam-1362	367	380	table	table	NOUN
ejpam-1362	367	381	a4	a4	NOUN
ejpam-1362	367	382	:	:	PUNCT
ejpam-1362	367	383	means	mean	NOUN
ejpam-1362	367	384	of	of	ADP
ejpam-1362	367	385	the	the	DET
ejpam-1362	367	386	averaged	average	VERB
ejpam-1362	367	387	wilcoxon	wilcoxon	PROPN
ejpam-1362	367	388	test	test	NOUN
ejpam-1362	367	389	ranking	rank	VERB
ejpam-1362	367	390	values	value	NOUN
ejpam-1362	367	391	for	for	ADP
ejpam-1362	367	392	the	the	DET
ejpam-1362	367	393	nine	nine	NUM
ejpam-1362	367	394	selection	selection	NOUN
ejpam-1362	367	395	methods	method	NOUN
ejpam-1362	367	396	criteria	criterion	NOUN
ejpam-1362	367	397	noise	noise	NOUN
ejpam-1362	367	398	level	level	NOUN
ejpam-1362	367	399	spatial	spatial	ADJ
ejpam-1362	367	400	variation	variation	NOUN
ejpam-1362	367	401	variance	variance	NOUN
ejpam-1362	367	402	function	function	NOUN
ejpam-1362	367	403	overall	overall	ADV
ejpam-1362	367	404	(	(	PUNCT
ejpam-1362	367	405	means	mean	NOUN
ejpam-1362	367	406	for	for	ADP
ejpam-1362	367	407	n=	n=	ADJ
ejpam-1362	367	408	150,200,350,400	150,200,350,400	NUM
ejpam-1362	367	409	)	)	PUNCT
ejpam-1362	367	410	aicc	aicc	NOUN
ejpam-1362	367	411	4.156	4.156	NUM
ejpam-1362	367	412	3.406	3.406	NUM
ejpam-1362	367	413	*	*	NUM
ejpam-1362	367	414	2.906	2.906	NUM
ejpam-1362	367	415	*	*	SYM
ejpam-1362	367	416	3.489	3.489	NUM
ejpam-1362	367	417	rcv	rcv	PROPN
ejpam-1362	367	418	5.094	5.094	NUM
ejpam-1362	367	419	5.5	5.5	NUM
ejpam-1362	367	420	5	5	NUM
ejpam-1362	367	421	5.198	5.198	NUM
ejpam-1362	367	422	pse	pse	NOUN
ejpam-1362	367	423	9	9	NUM
ejpam-1362	367	424	8.313	8.313	NUM
ejpam-1362	367	425	8.969	8.969	NUM
ejpam-1362	367	426	8.761	8.761	NUM
ejpam-1362	367	427	gfaic	gfaic	ADJ
ejpam-1362	367	428	3.281	3.281	NUM
ejpam-1362	367	429	*	*	SYM
ejpam-1362	367	430	3.406	3.406	NUM
ejpam-1362	367	431	*	*	NUM
ejpam-1362	367	432	2.906	2.906	NUM
ejpam-1362	367	433	*	*	SYM
ejpam-1362	367	434	3.198	3.198	NUM
ejpam-1362	367	435	*	*	PUNCT
ejpam-1362	367	436	gcv	gcv	PROPN
ejpam-1362	367	437	4.156	4.156	NUM
ejpam-1362	367	438	3.406	3.406	NUM
ejpam-1362	367	439	*	*	PUNCT
ejpam-1362	367	440	4.063	4.063	NUM
ejpam-1362	367	441	3.875	3.875	NUM
ejpam-1362	367	442	cv	cv	NOUN
ejpam-1362	367	443	6.531	6.531	NUM
ejpam-1362	367	444	6.719	6.719	NUM
ejpam-1362	367	445	6.156	6.156	NUM
ejpam-1362	367	446	6.469	6.469	NUM
ejpam-1362	367	447	cp	cp	NUM
ejpam-1362	367	448	4.156	4.156	NUM
ejpam-1362	367	449	3.406	3.406	NUM
ejpam-1362	367	450	*	*	NUM
ejpam-1362	367	451	3.656	3.656	NUM
ejpam-1362	367	452	3.739	3.739	NUM
ejpam-1362	367	453	rcp	rcp	VERB
ejpam-1362	367	454	5.156	5.156	NUM
ejpam-1362	367	455	4.719	4.719	NUM
ejpam-1362	367	456	6.625	6.625	NUM
ejpam-1362	367	457	5.5	5.5	NUM
ejpam-1362	367	458	lrs	lrs	PROPN
ejpam-1362	367	459	4.25	4.25	NUM
ejpam-1362	367	460	5.186	5.186	NUM
ejpam-1362	367	461	4.594	4.594	NUM
ejpam-1362	367	462	4.677	4.677	NUM