id	sid	tid	token	lemma	pos
ejpam-1675	1	1	2_denizhowe.dvi	2_denizhowe.dvi	NUM
ejpam-1675	1	2	european	european	ADJ
ejpam-1675	1	3	journal	journal	NOUN
ejpam-1675	1	4	of	of	ADP
ejpam-1675	1	5	pure	pure	ADJ
ejpam-1675	1	6	and	and	CCONJ
ejpam-1675	1	7	applied	apply	VERB
ejpam-1675	1	8	mathematics	mathematic	NOUN
ejpam-1675	1	9	vol	vol	NOUN
ejpam-1675	1	10	.	.	PROPN
ejpam-1675	1	11	5	5	NUM
ejpam-1675	1	12	,	,	PUNCT
ejpam-1675	1	13	no	no	INTJ
ejpam-1675	1	14	.	.	NOUN
ejpam-1675	1	15	3	3	NUM
ejpam-1675	1	16	,	,	PUNCT
ejpam-1675	1	17	2012	2012	NUM
ejpam-1675	1	18	,	,	PUNCT
ejpam-1675	1	19	282	282	NUM
ejpam-1675	1	20	-	-	SYM
ejpam-1675	1	21	301	301	NUM
ejpam-1675	1	22	issn	issn	PROPN
ejpam-1675	1	23	1307	1307	NUM
ejpam-1675	1	24	-	-	SYM
ejpam-1675	1	25	5543	5543	NUM
ejpam-1675	1	26	–	–	PUNCT
ejpam-1675	1	27	www.ejpam.com	www.ejpam.com	X
ejpam-1675	1	28	performance	performance	NOUN
ejpam-1675	1	29	of	of	ADP
ejpam-1675	1	30	information	information	NOUN
ejpam-1675	1	31	complexity	complexity	NOUN
ejpam-1675	1	32	criteria	criterion	NOUN
ejpam-1675	1	33	in	in	ADP
ejpam-1675	1	34	structural	structural	ADJ
ejpam-1675	1	35	equation	equation	NOUN
ejpam-1675	1	36	models	model	NOUN
ejpam-1675	1	37	with	with	ADP
ejpam-1675	1	38	applications	application	NOUN
ejpam-1675	1	39	eylem	eylem	PROPN
ejpam-1675	1	40	deniz	deniz	PROPN
ejpam-1675	1	41	howe1,∗	howe1,∗	PROPN
ejpam-1675	1	42	,	,	PUNCT
ejpam-1675	1	43	hamparsum	hamparsum	ADJ
ejpam-1675	1	44	bozdogan2	bozdogan2	PROPN
ejpam-1675	1	45	,	,	PUNCT
ejpam-1675	1	46	and	and	CCONJ
ejpam-1675	1	47	gülay	gülay	VERB
ejpam-1675	1	48	kıroğlu1	kıroğlu1	NUM
ejpam-1675	1	49	1	1	NUM
ejpam-1675	1	50	mimar	mimar	PROPN
ejpam-1675	1	51	sinan	sinan	PROPN
ejpam-1675	1	52	fine	fine	PROPN
ejpam-1675	1	53	arts	arts	PROPN
ejpam-1675	1	54	university	university	PROPN
ejpam-1675	1	55	,	,	PUNCT
ejpam-1675	1	56	istanbul	istanbul	PROPN
ejpam-1675	1	57	turkey	turkey	PROPN
ejpam-1675	1	58	2	2	NUM
ejpam-1675	1	59	department	department	NOUN
ejpam-1675	1	60	of	of	ADP
ejpam-1675	1	61	statistics	statistic	NOUN
ejpam-1675	1	62	,	,	PUNCT
ejpam-1675	1	63	operations	operation	NOUN
ejpam-1675	1	64	,	,	PUNCT
ejpam-1675	1	65	and	and	CCONJ
ejpam-1675	1	66	management	management	NOUN
ejpam-1675	1	67	science	science	NOUN
ejpam-1675	1	68	,	,	PUNCT
ejpam-1675	1	69	the	the	DET
ejpam-1675	1	70	university	university	PROPN
ejpam-1675	1	71	of	of	ADP
ejpam-1675	1	72	tennessee	tennessee	PROPN
ejpam-1675	1	73	,	,	PUNCT
ejpam-1675	1	74	knoxville	knoxville	PROPN
ejpam-1675	1	75	,	,	PUNCT
ejpam-1675	1	76	tn	tn	PROPN
ejpam-1675	1	77	,	,	PUNCT
ejpam-1675	1	78	37996	37996	NUM
ejpam-1675	1	79	,	,	PUNCT
ejpam-1675	1	80	usa	usa	PROPN
ejpam-1675	1	81	abstract	abstract	PROPN
ejpam-1675	1	82	.	.	PUNCT
ejpam-1675	2	1	a	a	DET
ejpam-1675	2	2	common	common	ADJ
ejpam-1675	2	3	problem	problem	NOUN
ejpam-1675	2	4	in	in	ADP
ejpam-1675	2	5	structural	structural	ADJ
ejpam-1675	2	6	equation	equation	NOUN
ejpam-1675	2	7	modeling	modeling	NOUN
ejpam-1675	2	8	is	be	AUX
ejpam-1675	2	9	that	that	PRON
ejpam-1675	2	10	of	of	ADP
ejpam-1675	2	11	model	model	NOUN
ejpam-1675	2	12	selection	selection	NOUN
ejpam-1675	2	13	.	.	PUNCT
ejpam-1675	3	1	many	many	ADJ
ejpam-1675	3	2	researchers	researcher	NOUN
ejpam-1675	3	3	have	have	AUX
ejpam-1675	3	4	addressed	address	VERB
ejpam-1675	3	5	this	this	DET
ejpam-1675	3	6	problem	problem	NOUN
ejpam-1675	3	7	,	,	PUNCT
ejpam-1675	3	8	but	but	CCONJ
ejpam-1675	3	9	many	many	ADJ
ejpam-1675	3	10	methods	method	NOUN
ejpam-1675	3	11	have	have	AUX
ejpam-1675	3	12	provided	provide	VERB
ejpam-1675	3	13	mixed	mixed	ADJ
ejpam-1675	3	14	benefits	benefit	NOUN
ejpam-1675	3	15	until	until	ADP
ejpam-1675	3	16	recently	recently	ADV
ejpam-1675	3	17	.	.	PUNCT
ejpam-1675	4	1	akaike	akaike	PROPN
ejpam-1675	4	2	’s	’	VERB
ejpam-1675	4	3	well	well	ADV
ejpam-1675	4	4	-	-	PUNCT
ejpam-1675	4	5	known	know	VERB
ejpam-1675	4	6	criteria	criterion	NOUN
ejpam-1675	4	7	,	,	PUNCT
ejpam-1675	4	8	aic	aic	PROPN
ejpam-1675	4	9	,	,	PUNCT
ejpam-1675	4	10	has	have	AUX
ejpam-1675	4	11	been	be	AUX
ejpam-1675	4	12	applied	apply	VERB
ejpam-1675	4	13	in	in	ADP
ejpam-1675	4	14	the	the	DET
ejpam-1675	4	15	context	context	NOUN
ejpam-1675	4	16	of	of	ADP
ejpam-1675	4	17	structural	structural	ADJ
ejpam-1675	4	18	equation	equation	NOUN
ejpam-1675	4	19	modeling	modeling	NOUN
ejpam-1675	4	20	,	,	PUNCT
ejpam-1675	4	21	but	but	CCONJ
ejpam-1675	4	22	the	the	DET
ejpam-1675	4	23	effectiveness	effectiveness	NOUN
ejpam-1675	4	24	of	of	ADP
ejpam-1675	4	25	many	many	ADJ
ejpam-1675	4	26	other	other	ADJ
ejpam-1675	4	27	information	information	NOUN
ejpam-1675	4	28	criteria	criterion	NOUN
ejpam-1675	4	29	have	have	AUX
ejpam-1675	4	30	not	not	PART
ejpam-1675	4	31	been	be	AUX
ejpam-1675	4	32	studied	study	VERB
ejpam-1675	4	33	in	in	ADP
ejpam-1675	4	34	a	a	DET
ejpam-1675	4	35	convincing	convincing	ADJ
ejpam-1675	4	36	manner	manner	NOUN
ejpam-1675	4	37	.	.	PUNCT
ejpam-1675	5	1	in	in	ADP
ejpam-1675	5	2	this	this	DET
ejpam-1675	5	3	paper	paper	NOUN
ejpam-1675	5	4	,	,	PUNCT
ejpam-1675	5	5	we	we	PRON
ejpam-1675	5	6	compare	compare	VERB
ejpam-1675	5	7	the	the	DET
ejpam-1675	5	8	sem	sem	NOUN
ejpam-1675	5	9	model	model	NOUN
ejpam-1675	5	10	selection	selection	NOUN
ejpam-1675	5	11	prowess	prowess	NOUN
ejpam-1675	5	12	of	of	ADP
ejpam-1675	5	13	several	several	ADJ
ejpam-1675	5	14	aic	aic	PROPN
ejpam-1675	5	15	-	-	PUNCT
ejpam-1675	5	16	type	type	NOUN
ejpam-1675	5	17	and	and	CCONJ
ejpam-1675	5	18	icom	icom	PROPN
ejpam-1675	5	19	p	p	ADJ
ejpam-1675	5	20	-	-	PUNCT
ejpam-1675	5	21	type	type	NOUN
ejpam-1675	5	22	criteria	criterion	NOUN
ejpam-1675	5	23	.	.	PUNCT
ejpam-1675	6	1	we	we	PRON
ejpam-1675	6	2	also	also	ADV
ejpam-1675	6	3	introduce	introduce	VERB
ejpam-1675	6	4	two	two	NUM
ejpam-1675	6	5	new	new	ADJ
ejpam-1675	6	6	large	large	ADJ
ejpam-1675	6	7	sample	sample	NOUN
ejpam-1675	6	8	consistent	consistent	ADJ
ejpam-1675	6	9	forms	form	NOUN
ejpam-1675	6	10	of	of	ADP
ejpam-1675	6	11	bozdogan	bozdogan	PROPN
ejpam-1675	6	12	’s	’s	PART
ejpam-1675	6	13	icom	icom	PROPN
ejpam-1675	6	14	p	p	PROPN
ejpam-1675	6	15	criteria	criterion	NOUN
ejpam-1675	6	16	one	one	NUM
ejpam-1675	6	17	of	of	ADP
ejpam-1675	6	18	which	which	PRON
ejpam-1675	6	19	is	be	AUX
ejpam-1675	6	20	robust	robust	ADJ
ejpam-1675	6	21	to	to	PART
ejpam-1675	6	22	model	model	VERB
ejpam-1675	6	23	misspecification	misspecification	NOUN
ejpam-1675	6	24	.	.	PUNCT
ejpam-1675	7	1	to	to	PART
ejpam-1675	7	2	study	study	VERB
ejpam-1675	7	3	the	the	DET
ejpam-1675	7	4	empirical	empirical	ADJ
ejpam-1675	7	5	performance	performance	NOUN
ejpam-1675	7	6	of	of	ADP
ejpam-1675	7	7	the	the	DET
ejpam-1675	7	8	information	information	NOUN
ejpam-1675	7	9	criteria	criterion	NOUN
ejpam-1675	7	10	,	,	PUNCT
ejpam-1675	7	11	we	we	PRON
ejpam-1675	7	12	use	use	VERB
ejpam-1675	7	13	a	a	DET
ejpam-1675	7	14	well	well	ADV
ejpam-1675	7	15	-	-	PUNCT
ejpam-1675	7	16	known	know	VERB
ejpam-1675	7	17	sem	sem	NOUN
ejpam-1675	7	18	simulation	simulation	NOUN
ejpam-1675	7	19	protocol	protocol	NOUN
ejpam-1675	7	20	,	,	PUNCT
ejpam-1675	7	21	and	and	CCONJ
ejpam-1675	7	22	demonstrate	demonstrate	VERB
ejpam-1675	7	23	that	that	SCONJ
ejpam-1675	7	24	most	most	ADJ
ejpam-1675	7	25	of	of	ADP
ejpam-1675	7	26	the	the	DET
ejpam-1675	7	27	information	information	NOUN
ejpam-1675	7	28	-	-	PUNCT
ejpam-1675	7	29	theoretic	theoretic	NOUN
ejpam-1675	7	30	criteria	criterion	NOUN
ejpam-1675	7	31	select	select	VERB
ejpam-1675	7	32	the	the	DET
ejpam-1675	7	33	“	"	PUNCT
ejpam-1675	7	34	pseudo	pseudo	NOUN
ejpam-1675	7	35	true	true	ADJ
ejpam-1675	7	36	”	"	PUNCT
ejpam-1675	7	37	model	model	NOUN
ejpam-1675	7	38	with	with	ADP
ejpam-1675	7	39	very	very	ADV
ejpam-1675	7	40	high	high	ADJ
ejpam-1675	7	41	frequencies	frequency	NOUN
ejpam-1675	7	42	.	.	PUNCT
ejpam-1675	8	1	we	we	PRON
ejpam-1675	8	2	also	also	ADV
ejpam-1675	8	3	demonstrate	demonstrate	VERB
ejpam-1675	8	4	,	,	PUNCT
ejpam-1675	8	5	however	however	ADV
ejpam-1675	8	6	,	,	PUNCT
ejpam-1675	8	7	that	that	SCONJ
ejpam-1675	8	8	the	the	DET
ejpam-1675	8	9	performance	performance	NOUN
ejpam-1675	8	10	of	of	ADP
ejpam-1675	8	11	aic	aic	PROPN
ejpam-1675	8	12	is	be	AUX
ejpam-1675	8	13	inversely	inversely	ADV
ejpam-1675	8	14	related	relate	VERB
ejpam-1675	8	15	to	to	ADP
ejpam-1675	8	16	the	the	DET
ejpam-1675	8	17	sample	sample	NOUN
ejpam-1675	8	18	size	size	NOUN
ejpam-1675	8	19	.	.	PUNCT
ejpam-1675	9	1	finally	finally	ADV
ejpam-1675	9	2	,	,	PUNCT
ejpam-1675	9	3	we	we	PRON
ejpam-1675	9	4	apply	apply	VERB
ejpam-1675	9	5	the	the	DET
ejpam-1675	9	6	new	new	ADJ
ejpam-1675	9	7	criteria	criterion	NOUN
ejpam-1675	9	8	to	to	PART
ejpam-1675	9	9	select	select	VERB
ejpam-1675	9	10	an	an	DET
ejpam-1675	9	11	analytical	analytical	ADJ
ejpam-1675	9	12	model	model	NOUN
ejpam-1675	9	13	for	for	ADP
ejpam-1675	9	14	a	a	DET
ejpam-1675	9	15	real	real	ADJ
ejpam-1675	9	16	dataset	dataset	NOUN
ejpam-1675	9	17	from	from	ADP
ejpam-1675	9	18	a	a	DET
ejpam-1675	9	19	retail	retail	ADJ
ejpam-1675	9	20	marketing	marketing	NOUN
ejpam-1675	9	21	study	study	NOUN
ejpam-1675	9	22	of	of	ADP
ejpam-1675	9	23	consumer	consumer	NOUN
ejpam-1675	9	24	behavior	behavior	NOUN
ejpam-1675	9	25	.	.	PUNCT
ejpam-1675	10	1	our	our	PRON
ejpam-1675	10	2	results	result	NOUN
ejpam-1675	10	3	show	show	VERB
ejpam-1675	10	4	the	the	DET
ejpam-1675	10	5	versatility	versatility	NOUN
ejpam-1675	10	6	of	of	ADP
ejpam-1675	10	7	the	the	DET
ejpam-1675	10	8	new	new	ADJ
ejpam-1675	10	9	proposed	propose	VERB
ejpam-1675	10	10	method	method	NOUN
ejpam-1675	10	11	where	where	SCONJ
ejpam-1675	10	12	both	both	CCONJ
ejpam-1675	10	13	the	the	DET
ejpam-1675	10	14	goodness	goodness	NOUN
ejpam-1675	10	15	-	-	PUNCT
ejpam-1675	10	16	of	of	ADP
ejpam-1675	10	17	fit	fit	NOUN
ejpam-1675	10	18	and	and	CCONJ
ejpam-1675	10	19	the	the	DET
ejpam-1675	10	20	complexity	complexity	NOUN
ejpam-1675	10	21	of	of	ADP
ejpam-1675	10	22	the	the	DET
ejpam-1675	10	23	model	model	NOUN
ejpam-1675	10	24	is	be	AUX
ejpam-1675	10	25	taken	take	VERB
ejpam-1675	10	26	into	into	ADP
ejpam-1675	10	27	account	account	NOUN
ejpam-1675	10	28	in	in	ADP
ejpam-1675	10	29	one	one	NUM
ejpam-1675	10	30	criterion	criterion	NOUN
ejpam-1675	10	31	function	function	NOUN
ejpam-1675	10	32	.	.	PUNCT
ejpam-1675	11	1	2010	2010	NUM
ejpam-1675	11	2	mathematics	mathematic	NOUN
ejpam-1675	11	3	subject	subject	NOUN
ejpam-1675	11	4	classifications	classification	NOUN
ejpam-1675	11	5	:	:	PUNCT
ejpam-1675	11	6	62h12,62h15,62h20,62h25,62p15,62f35	62h12,62h15,62h20,62h25,62p15,62f35	NUM
ejpam-1675	11	7	key	key	ADJ
ejpam-1675	11	8	words	word	NOUN
ejpam-1675	11	9	and	and	CCONJ
ejpam-1675	11	10	phrases	phrase	NOUN
ejpam-1675	11	11	:	:	PUNCT
ejpam-1675	11	12	structural	structural	ADJ
ejpam-1675	11	13	equation	equation	NOUN
ejpam-1675	11	14	model	model	NOUN
ejpam-1675	11	15	,	,	PUNCT
ejpam-1675	11	16	information	information	NOUN
ejpam-1675	11	17	criteria	criterion	NOUN
ejpam-1675	11	18	,	,	PUNCT
ejpam-1675	11	19	aic	aic	PROPN
ejpam-1675	11	20	-	-	PUNCT
ejpam-1675	11	21	type	type	NOUN
ejpam-1675	11	22	criteria	criterion	NOUN
ejpam-1675	11	23	,	,	PUNCT
ejpam-1675	11	24	icom	icom	PROPN
ejpam-1675	11	25	ptype	ptype	PROPN
ejpam-1675	11	26	criteria	criterion	NOUN
ejpam-1675	11	27	1	1	NUM
ejpam-1675	11	28	.	.	PUNCT
ejpam-1675	12	1	introduction	introduction	NOUN
ejpam-1675	12	2	structural	structural	ADJ
ejpam-1675	12	3	equation	equation	NOUN
ejpam-1675	12	4	modeling	modeling	NOUN
ejpam-1675	12	5	(	(	PUNCT
ejpam-1675	12	6	sem	sem	NOUN
ejpam-1675	12	7	)	)	PUNCT
ejpam-1675	12	8	has	have	AUX
ejpam-1675	12	9	been	be	AUX
ejpam-1675	12	10	a	a	DET
ejpam-1675	12	11	popular	popular	ADJ
ejpam-1675	12	12	tool	tool	NOUN
ejpam-1675	12	13	in	in	ADP
ejpam-1675	12	14	social	social	ADJ
ejpam-1675	12	15	and	and	CCONJ
ejpam-1675	12	16	behavioral	behavioral	ADJ
ejpam-1675	12	17	sciences	science	NOUN
ejpam-1675	12	18	since	since	SCONJ
ejpam-1675	12	19	the	the	DET
ejpam-1675	12	20	early	early	ADJ
ejpam-1675	12	21	1990	1990	NUM
ejpam-1675	12	22	’s	’s	NOUN
ejpam-1675	12	23	for	for	ADP
ejpam-1675	12	24	the	the	DET
ejpam-1675	12	25	causal	causal	ADJ
ejpam-1675	12	26	modeling	modeling	NOUN
ejpam-1675	12	27	of	of	ADP
ejpam-1675	12	28	complex	complex	ADJ
ejpam-1675	12	29	,	,	PUNCT
ejpam-1675	12	30	multivariate	multivariate	NOUN
ejpam-1675	12	31	data	data	NOUN
ejpam-1675	12	32	sets	set	NOUN
ejpam-1675	12	33	.	.	PUNCT
ejpam-1675	13	1	presently	presently	ADV
ejpam-1675	13	2	,	,	PUNCT
ejpam-1675	13	3	it	it	PRON
ejpam-1675	13	4	has	have	AUX
ejpam-1675	13	5	penetrated	penetrate	VERB
ejpam-1675	13	6	engineering	engineering	NOUN
ejpam-1675	13	7	,	,	PUNCT
ejpam-1675	13	8	management	management	NOUN
ejpam-1675	13	9	and	and	CCONJ
ejpam-1675	13	10	information	information	NOUN
ejpam-1675	13	11	sciences	science	NOUN
ejpam-1675	13	12	,	,	PUNCT
ejpam-1675	13	13	and	and	CCONJ
ejpam-1675	13	14	genomic	genomic	ADJ
ejpam-1675	13	15	research	research	NOUN
ejpam-1675	13	16	,	,	PUNCT
ejpam-1675	13	17	to	to	PART
ejpam-1675	13	18	mention	mention	VERB
ejpam-1675	13	19	a	a	DET
ejpam-1675	13	20	few	few	ADJ
ejpam-1675	13	21	.	.	PUNCT
ejpam-1675	14	1	it	it	PRON
ejpam-1675	14	2	has	have	AUX
ejpam-1675	14	3	changed	change	VERB
ejpam-1675	14	4	the	the	DET
ejpam-1675	14	5	perspective	perspective	NOUN
ejpam-1675	14	6	of	of	ADP
ejpam-1675	14	7	researchers	researcher	NOUN
ejpam-1675	14	8	on	on	ADP
ejpam-1675	14	9	how	how	SCONJ
ejpam-1675	14	10	to	to	PART
ejpam-1675	14	11	do	do	AUX
ejpam-1675	14	12	good	good	ADJ
ejpam-1675	14	13	statistical	statistical	ADJ
ejpam-1675	14	14	modeling	modeling	NOUN
ejpam-1675	14	15	and	and	CCONJ
ejpam-1675	14	16	model	model	NOUN
ejpam-1675	14	17	selection	selection	NOUN
ejpam-1675	14	18	.	.	PUNCT
ejpam-1675	15	1	it	it	PRON
ejpam-1675	15	2	has	have	AUX
ejpam-1675	15	3	also	also	ADV
ejpam-1675	15	4	fostered	foster	VERB
ejpam-1675	15	5	the	the	DET
ejpam-1675	15	6	curiosity	curiosity	NOUN
ejpam-1675	15	7	of	of	ADP
ejpam-1675	15	8	social	social	ADJ
ejpam-1675	15	9	∗corresponding	∗corresponding	NOUN
ejpam-1675	15	10	author	author	NOUN
ejpam-1675	15	11	.	.	PUNCT
ejpam-1675	16	1	email	email	NOUN
ejpam-1675	16	2	addresses	address	NOUN
ejpam-1675	16	3	:	:	PUNCT
ejpam-1675	16	4	eylemdeniz	eylemdeniz	PROPN
ejpam-1675	16	5	�	�	PROPN
ejpam-1675	16	6	gmail	gmail	NOUN
ejpam-1675	16	7	.	.	PUNCT
ejpam-1675	17	1	om	om	PROPN
ejpam-1675	17	2	(	(	PUNCT
ejpam-1675	17	3	e.	e.	PROPN
ejpam-1675	17	4	howe	howe	PROPN
ejpam-1675	17	5	)	)	PUNCT
ejpam-1675	17	6	,	,	PUNCT
ejpam-1675	17	7	bozdogan�utk.edu	bozdogan�utk.edu	PROPN
ejpam-1675	17	8	(	(	PUNCT
ejpam-1675	17	9	h.	h.	PROPN
ejpam-1675	17	10	bozdogan	bozdogan	PROPN
ejpam-1675	17	11	)	)	PUNCT
ejpam-1675	17	12	,	,	PUNCT
ejpam-1675	17	13	gkiroglu�msu.edu.tr	gkiroglu�msu.edu.tr	PROPN
ejpam-1675	17	14	(	(	PUNCT
ejpam-1675	17	15	g.	g.	PROPN
ejpam-1675	17	16	kıroğlu	kıroğlu	PROPN
ejpam-1675	17	17	)	)	PUNCT
ejpam-1675	17	18	http://www.ejpam.com	http://www.ejpam.com	X
ejpam-1675	18	1	282	282	NUM
ejpam-1675	18	2	c	c	X
ejpam-1675	18	3	©	©	VERB
ejpam-1675	18	4	2012	2012	NUM
ejpam-1675	18	5	ejpam	ejpam	VERB
ejpam-1675	18	6	all	all	DET
ejpam-1675	18	7	rights	right	NOUN
ejpam-1675	18	8	reserved	reserve	VERB
ejpam-1675	18	9	.	.	PUNCT
ejpam-1675	19	1	e.	e.	PROPN
ejpam-1675	19	2	howe	howe	PROPN
ejpam-1675	19	3	,	,	PUNCT
ejpam-1675	19	4	h.	h.	PROPN
ejpam-1675	19	5	bozdogan	bozdogan	PROPN
ejpam-1675	19	6	,	,	PUNCT
ejpam-1675	19	7	g.	g.	PROPN
ejpam-1675	19	8	kıroğlu	kıroğlu	PROPN
ejpam-1675	19	9	/	/	SYM
ejpam-1675	19	10	eur	eur	PROPN
ejpam-1675	19	11	.	.	PUNCT
ejpam-1675	20	1	j.	j.	PROPN
ejpam-1675	20	2	pure	pure	PROPN
ejpam-1675	20	3	appl	appl	PROPN
ejpam-1675	20	4	.	.	PROPN
ejpam-1675	20	5	math	math	PROPN
ejpam-1675	20	6	,	,	PUNCT
ejpam-1675	20	7	5	5	NUM
ejpam-1675	20	8	(	(	PUNCT
ejpam-1675	20	9	2012	2012	NUM
ejpam-1675	20	10	)	)	PUNCT
ejpam-1675	20	11	,	,	PUNCT
ejpam-1675	20	12	282	282	NUM
ejpam-1675	20	13	-	-	SYM
ejpam-1675	20	14	301	301	NUM
ejpam-1675	20	15	283	283	NUM
ejpam-1675	20	16	scientists	scientist	NOUN
ejpam-1675	20	17	about	about	ADP
ejpam-1675	20	18	the	the	DET
ejpam-1675	20	19	underlying	underlie	VERB
ejpam-1675	20	20	constructs	construct	NOUN
ejpam-1675	20	21	or	or	CCONJ
ejpam-1675	20	22	factors	factor	NOUN
ejpam-1675	20	23	in	in	ADP
ejpam-1675	20	24	many	many	ADJ
ejpam-1675	20	25	applications	application	NOUN
ejpam-1675	20	26	.	.	PUNCT
ejpam-1675	21	1	according	accord	VERB
ejpam-1675	21	2	to	to	ADP
ejpam-1675	21	3	[	[	X
ejpam-1675	21	4	11	11	NUM
ejpam-1675	21	5	]	]	PUNCT
ejpam-1675	21	6	,	,	PUNCT
ejpam-1675	21	7	the	the	DET
ejpam-1675	21	8	sem	sem	NOUN
ejpam-1675	21	9	approach	approach	NOUN
ejpam-1675	21	10	has	have	AUX
ejpam-1675	21	11	been	be	AUX
ejpam-1675	21	12	regarded	regard	VERB
ejpam-1675	21	13	,	,	PUNCT
ejpam-1675	21	14	perhaps	perhaps	ADV
ejpam-1675	21	15	,	,	PUNCT
ejpam-1675	21	16	as	as	ADP
ejpam-1675	21	17	the	the	DET
ejpam-1675	21	18	most	most	ADV
ejpam-1675	21	19	significant	significant	ADJ
ejpam-1675	21	20	and	and	CCONJ
ejpam-1675	21	21	effective	effective	ADJ
ejpam-1675	21	22	statistical	statistical	ADJ
ejpam-1675	21	23	revolution	revolution	NOUN
ejpam-1675	21	24	in	in	ADP
ejpam-1675	21	25	social	social	ADJ
ejpam-1675	21	26	sciences	science	NOUN
ejpam-1675	21	27	.	.	PUNCT
ejpam-1675	22	1	in	in	ADP
ejpam-1675	22	2	sem	sem	PROPN
ejpam-1675	22	3	one	one	NUM
ejpam-1675	22	4	of	of	ADP
ejpam-1675	22	5	the	the	DET
ejpam-1675	22	6	fundamental	fundamental	ADJ
ejpam-1675	22	7	problems	problem	NOUN
ejpam-1675	22	8	is	be	AUX
ejpam-1675	22	9	how	how	SCONJ
ejpam-1675	22	10	to	to	PART
ejpam-1675	22	11	evaluate	evaluate	VERB
ejpam-1675	22	12	different	different	ADJ
ejpam-1675	22	13	models	model	NOUN
ejpam-1675	22	14	and	and	CCONJ
ejpam-1675	22	15	how	how	SCONJ
ejpam-1675	22	16	to	to	PART
ejpam-1675	22	17	select	select	VERB
ejpam-1675	22	18	among	among	ADP
ejpam-1675	22	19	the	the	DET
ejpam-1675	22	20	rival	rival	ADJ
ejpam-1675	22	21	models	model	NOUN
ejpam-1675	22	22	[	[	X
ejpam-1675	22	23	18	18	NUM
ejpam-1675	22	24	]	]	PUNCT
ejpam-1675	22	25	.	.	PUNCT
ejpam-1675	23	1	in	in	ADP
ejpam-1675	23	2	the	the	DET
ejpam-1675	23	3	literature	literature	NOUN
ejpam-1675	23	4	of	of	ADP
ejpam-1675	23	5	sem	sem	PROPN
ejpam-1675	23	6	,	,	PUNCT
ejpam-1675	23	7	there	there	PRON
ejpam-1675	23	8	are	be	VERB
ejpam-1675	23	9	many	many	ADJ
ejpam-1675	23	10	alternative	alternative	ADJ
ejpam-1675	23	11	fit	fit	ADJ
ejpam-1675	23	12	indices	index	NOUN
ejpam-1675	23	13	available	available	ADJ
ejpam-1675	23	14	to	to	ADP
ejpam-1675	23	15	the	the	DET
ejpam-1675	23	16	researchers	researcher	NOUN
ejpam-1675	23	17	.	.	PUNCT
ejpam-1675	24	1	an	an	DET
ejpam-1675	24	2	excellent	excellent	ADJ
ejpam-1675	24	3	recent	recent	ADJ
ejpam-1675	24	4	book	book	NOUN
ejpam-1675	24	5	by	by	ADP
ejpam-1675	24	6	[	[	X
ejpam-1675	24	7	22	22	NUM
ejpam-1675	24	8	]	]	PUNCT
ejpam-1675	24	9	,	,	PUNCT
ejpam-1675	24	10	“	"	PUNCT
ejpam-1675	24	11	linear	linear	ADJ
ejpam-1675	24	12	causal	causal	ADJ
ejpam-1675	24	13	modeling	modeling	NOUN
ejpam-1675	24	14	with	with	ADP
ejpam-1675	24	15	structural	structural	ADJ
ejpam-1675	24	16	equations	equation	NOUN
ejpam-1675	24	17	”	"	PUNCT
ejpam-1675	24	18	devotes	devote	VERB
ejpam-1675	24	19	a	a	DET
ejpam-1675	24	20	fair	fair	ADJ
ejpam-1675	24	21	amount	amount	NOUN
ejpam-1675	24	22	of	of	ADP
ejpam-1675	24	23	discussion	discussion	NOUN
ejpam-1675	24	24	on	on	ADP
ejpam-1675	24	25	many	many	ADJ
ejpam-1675	24	26	goodness	goodness	NOUN
ejpam-1675	24	27	-	-	PUNCT
ejpam-1675	24	28	of	of	ADP
ejpam-1675	24	29	-	-	PUNCT
ejpam-1675	24	30	fit	fit	ADJ
ejpam-1675	24	31	indices	index	NOUN
ejpam-1675	24	32	.	.	PUNCT
ejpam-1675	25	1	mulaik	mulaik	PROPN
ejpam-1675	26	1	[	[	X
ejpam-1675	26	2	22	22	NUM
ejpam-1675	26	3	]	]	PUNCT
ejpam-1675	26	4	further	far	ADV
ejpam-1675	26	5	discusses	discuss	VERB
ejpam-1675	26	6	information	information	NOUN
ejpam-1675	26	7	theoretic	theoretic	NOUN
ejpam-1675	26	8	measures	measure	NOUN
ejpam-1675	26	9	of	of	ADP
ejpam-1675	26	10	model	model	NOUN
ejpam-1675	26	11	discrepancy	discrepancy	NOUN
ejpam-1675	26	12	such	such	ADJ
ejpam-1675	26	13	as	as	ADP
ejpam-1675	26	14	aic	aic	PROPN
ejpam-1675	26	15	,	,	PUNCT
ejpam-1675	26	16	see	see	VERB
ejpam-1675	26	17	,	,	PUNCT
ejpam-1675	26	18	e.g.	e.g.	ADV
ejpam-1675	26	19	,	,	PUNCT
ejpam-1675	26	20	[	[	X
ejpam-1675	26	21	1	1	NUM
ejpam-1675	26	22	,	,	PUNCT
ejpam-1675	26	23	2	2	NUM
ejpam-1675	26	24	,	,	PUNCT
ejpam-1675	26	25	27	27	NUM
ejpam-1675	26	26	,	,	PUNCT
ejpam-1675	26	27	4	4	NUM
ejpam-1675	26	28	]	]	PUNCT
ejpam-1675	26	29	.	.	PUNCT
ejpam-1675	27	1	he	he	PRON
ejpam-1675	27	2	devotes	devote	VERB
ejpam-1675	27	3	a	a	DET
ejpam-1675	27	4	section	section	NOUN
ejpam-1675	27	5	on	on	ADP
ejpam-1675	27	6	the	the	DET
ejpam-1675	27	7	information	information	NOUN
ejpam-1675	27	8	theoretic	theoretic	NOUN
ejpam-1675	27	9	measure	measure	NOUN
ejpam-1675	27	10	of	of	ADP
ejpam-1675	27	11	complexity	complexity	NOUN
ejpam-1675	27	12	(	(	PUNCT
ejpam-1675	27	13	icomp	icomp	PROPN
ejpam-1675	27	14	)	)	PUNCT
ejpam-1675	27	15	developed	develop	VERB
ejpam-1675	27	16	in	in	ADP
ejpam-1675	27	17	[	[	X
ejpam-1675	27	18	6	6	NUM
ejpam-1675	27	19	,	,	PUNCT
ejpam-1675	27	20	7	7	NUM
ejpam-1675	27	21	]	]	PUNCT
ejpam-1675	27	22	.	.	PUNCT
ejpam-1675	28	1	however	however	ADV
ejpam-1675	28	2	,	,	PUNCT
ejpam-1675	28	3	[	[	X
ejpam-1675	28	4	22	22	NUM
ejpam-1675	28	5	]	]	PUNCT
ejpam-1675	28	6	does	do	AUX
ejpam-1675	28	7	not	not	PART
ejpam-1675	28	8	provide	provide	VERB
ejpam-1675	28	9	numerical	numerical	ADJ
ejpam-1675	28	10	examples	example	NOUN
ejpam-1675	28	11	or	or	CCONJ
ejpam-1675	28	12	evaluate	evaluate	VERB
ejpam-1675	28	13	the	the	DET
ejpam-1675	28	14	empirical	empirical	ADJ
ejpam-1675	28	15	performance	performance	NOUN
ejpam-1675	28	16	of	of	ADP
ejpam-1675	28	17	these	these	DET
ejpam-1675	28	18	model	model	NOUN
ejpam-1675	28	19	selection	selection	NOUN
ejpam-1675	28	20	criteria	criterion	NOUN
ejpam-1675	28	21	in	in	ADP
ejpam-1675	28	22	the	the	DET
ejpam-1675	28	23	sem	sem	NOUN
ejpam-1675	28	24	framework	framework	NOUN
ejpam-1675	28	25	.	.	PUNCT
ejpam-1675	29	1	the	the	DET
ejpam-1675	29	2	first	first	ADJ
ejpam-1675	29	3	author	author	NOUN
ejpam-1675	29	4	in	in	ADP
ejpam-1675	29	5	[	[	X
ejpam-1675	29	6	14	14	NUM
ejpam-1675	29	7	]	]	PUNCT
ejpam-1675	29	8	,	,	PUNCT
ejpam-1675	29	9	evaluated	evaluate	VERB
ejpam-1675	29	10	the	the	DET
ejpam-1675	29	11	performance	performance	NOUN
ejpam-1675	29	12	of	of	ADP
ejpam-1675	29	13	several	several	ADJ
ejpam-1675	29	14	information	information	NOUN
ejpam-1675	29	15	criteria	criterion	NOUN
ejpam-1675	29	16	for	for	ADP
ejpam-1675	29	17	measurement	measurement	NOUN
ejpam-1675	29	18	models	model	NOUN
ejpam-1675	29	19	and	and	CCONJ
ejpam-1675	29	20	sems	sem	NOUN
ejpam-1675	29	21	.	.	PUNCT
ejpam-1675	30	1	in	in	ADP
ejpam-1675	30	2	this	this	DET
ejpam-1675	30	3	paper	paper	NOUN
ejpam-1675	30	4	,	,	PUNCT
ejpam-1675	30	5	our	our	PRON
ejpam-1675	30	6	objective	objective	NOUN
ejpam-1675	30	7	is	be	AUX
ejpam-1675	30	8	to	to	PART
ejpam-1675	30	9	to	to	PART
ejpam-1675	30	10	extend	extend	VERB
ejpam-1675	30	11	that	that	DET
ejpam-1675	30	12	research	research	NOUN
ejpam-1675	30	13	and	and	CCONJ
ejpam-1675	30	14	to	to	PART
ejpam-1675	30	15	present	present	VERB
ejpam-1675	30	16	some	some	DET
ejpam-1675	30	17	new	new	ADJ
ejpam-1675	30	18	results	result	NOUN
ejpam-1675	30	19	on	on	ADP
ejpam-1675	30	20	icomp	icomp	NOUN
ejpam-1675	30	21	which	which	PRON
ejpam-1675	30	22	is	be	AUX
ejpam-1675	30	23	consistent	consistent	ADJ
ejpam-1675	30	24	with	with	ADP
ejpam-1675	30	25	respect	respect	NOUN
ejpam-1675	30	26	to	to	ADP
ejpam-1675	30	27	sample	sample	NOUN
ejpam-1675	30	28	size	size	NOUN
ejpam-1675	30	29	and	and	CCONJ
ejpam-1675	30	30	robustness	robustness	NOUN
ejpam-1675	30	31	against	against	ADP
ejpam-1675	30	32	model	model	NOUN
ejpam-1675	30	33	misspecification	misspecification	NOUN
ejpam-1675	30	34	in	in	ADP
ejpam-1675	30	35	sem	sem	NOUN
ejpam-1675	30	36	and	and	CCONJ
ejpam-1675	30	37	in	in	ADP
ejpam-1675	30	38	other	other	ADJ
ejpam-1675	30	39	high	high	ADJ
ejpam-1675	30	40	dimensional	dimensional	ADJ
ejpam-1675	30	41	model	model	NOUN
ejpam-1675	30	42	fitting	fitting	ADJ
ejpam-1675	30	43	.	.	PUNCT
ejpam-1675	31	1	therefore	therefore	ADV
ejpam-1675	31	2	,	,	PUNCT
ejpam-1675	31	3	in	in	ADP
ejpam-1675	31	4	this	this	DET
ejpam-1675	31	5	paper	paper	NOUN
ejpam-1675	31	6	we	we	PRON
ejpam-1675	31	7	revisit	revisit	VERB
ejpam-1675	31	8	and	and	CCONJ
ejpam-1675	31	9	discuss	discuss	VERB
ejpam-1675	31	10	information	information	NOUN
ejpam-1675	31	11	criteria	criterion	NOUN
ejpam-1675	31	12	used	use	VERB
ejpam-1675	31	13	to	to	PART
ejpam-1675	31	14	gauge	gauge	VERB
ejpam-1675	31	15	model	model	NOUN
ejpam-1675	31	16	fit	fit	ADJ
ejpam-1675	31	17	in	in	ADP
ejpam-1675	31	18	structural	structural	ADJ
ejpam-1675	31	19	equation	equation	NOUN
ejpam-1675	31	20	modeling	modeling	NOUN
ejpam-1675	31	21	(	(	PUNCT
ejpam-1675	31	22	sem	sem	NOUN
ejpam-1675	31	23	)	)	PUNCT
ejpam-1675	31	24	.	.	PUNCT
ejpam-1675	32	1	this	this	PRON
ejpam-1675	32	2	is	be	AUX
ejpam-1675	32	3	based	base	VERB
ejpam-1675	32	4	on	on	ADP
ejpam-1675	32	5	the	the	DET
ejpam-1675	32	6	objective	objective	NOUN
ejpam-1675	32	7	that	that	SCONJ
ejpam-1675	32	8	statistical	statistical	ADJ
ejpam-1675	32	9	methods	method	NOUN
ejpam-1675	32	10	of	of	ADP
ejpam-1675	32	11	fit	fit	NOUN
ejpam-1675	32	12	are	be	AUX
ejpam-1675	32	13	related	relate	VERB
ejpam-1675	32	14	to	to	ADP
ejpam-1675	32	15	sample	sample	NOUN
ejpam-1675	32	16	size	size	NOUN
ejpam-1675	32	17	,	,	PUNCT
ejpam-1675	32	18	any	any	DET
ejpam-1675	32	19	statistical	statistical	ADJ
ejpam-1675	32	20	test	test	NOUN
ejpam-1675	32	21	is	be	AUX
ejpam-1675	32	22	increasingly	increasingly	ADV
ejpam-1675	32	23	likely	likely	ADJ
ejpam-1675	32	24	to	to	PART
ejpam-1675	32	25	imply	imply	VERB
ejpam-1675	32	26	rejection	rejection	NOUN
ejpam-1675	32	27	of	of	ADP
ejpam-1675	32	28	a	a	DET
ejpam-1675	32	29	model	model	NOUN
ejpam-1675	32	30	as	as	ADP
ejpam-1675	32	31	sample	sample	NOUN
ejpam-1675	32	32	size	size	NOUN
ejpam-1675	32	33	increases	increase	NOUN
ejpam-1675	32	34	,	,	PUNCT
ejpam-1675	32	35	even	even	ADV
ejpam-1675	32	36	if	if	SCONJ
ejpam-1675	32	37	model	model	NOUN
ejpam-1675	32	38	misfit	misfit	NOUN
ejpam-1675	32	39	is	be	AUX
ejpam-1675	32	40	trivial	trivial	ADJ
ejpam-1675	32	41	in	in	ADP
ejpam-1675	32	42	magnitude	magnitude	NOUN
ejpam-1675	32	43	.	.	PUNCT
ejpam-1675	33	1	various	various	ADJ
ejpam-1675	33	2	practical	practical	ADJ
ejpam-1675	33	3	fit	fit	ADJ
ejpam-1675	33	4	indices	index	NOUN
ejpam-1675	33	5	have	have	AUX
ejpam-1675	33	6	been	be	AUX
ejpam-1675	33	7	proposed	propose	VERB
ejpam-1675	33	8	over	over	ADP
ejpam-1675	33	9	the	the	DET
ejpam-1675	33	10	years	year	NOUN
ejpam-1675	33	11	and	and	CCONJ
ejpam-1675	33	12	information	information	NOUN
ejpam-1675	33	13	criteria	criterion	NOUN
ejpam-1675	33	14	are	be	AUX
ejpam-1675	33	15	among	among	ADP
ejpam-1675	33	16	the	the	DET
ejpam-1675	33	17	most	most	ADV
ejpam-1675	33	18	widely	widely	ADV
ejpam-1675	33	19	used	use	VERB
ejpam-1675	33	20	.	.	PUNCT
ejpam-1675	34	1	we	we	PRON
ejpam-1675	34	2	review	review	VERB
ejpam-1675	34	3	prior	prior	ADJ
ejpam-1675	34	4	information	information	NOUN
ejpam-1675	34	5	criteria	criterion	NOUN
ejpam-1675	34	6	,	,	PUNCT
ejpam-1675	34	7	and	and	CCONJ
ejpam-1675	34	8	propose	propose	VERB
ejpam-1675	34	9	a	a	DET
ejpam-1675	34	10	couple	couple	NOUN
ejpam-1675	34	11	of	of	ADP
ejpam-1675	34	12	new	new	ADJ
ejpam-1675	34	13	information	information	NOUN
ejpam-1675	34	14	criteria	criterion	NOUN
ejpam-1675	34	15	based	base	VERB
ejpam-1675	34	16	on	on	ADP
ejpam-1675	34	17	information	information	NOUN
ejpam-1675	34	18	measure	measure	NOUN
ejpam-1675	34	19	of	of	ADP
ejpam-1675	34	20	complexity	complexity	NOUN
ejpam-1675	34	21	of	of	ADP
ejpam-1675	34	22	a	a	DET
ejpam-1675	34	23	covariance	covariance	NOUN
ejpam-1675	34	24	matrix	matrix	NOUN
ejpam-1675	34	25	called	call	VERB
ejpam-1675	34	26	icom	icom	PROPN
ejpam-1675	34	27	ptype	ptype	PROPN
ejpam-1675	34	28	criteria	criterion	NOUN
ejpam-1675	34	29	.	.	PUNCT
ejpam-1675	35	1	we	we	PRON
ejpam-1675	35	2	demonstrate	demonstrate	VERB
ejpam-1675	35	3	the	the	DET
ejpam-1675	35	4	empirical	empirical	ADJ
ejpam-1675	35	5	performance	performance	NOUN
ejpam-1675	35	6	of	of	ADP
ejpam-1675	35	7	icom	icom	PROPN
ejpam-1675	35	8	p	p	NOUN
ejpam-1675	35	9	-	-	PUNCT
ejpam-1675	35	10	type	type	NOUN
ejpam-1675	35	11	criteria	criterion	NOUN
ejpam-1675	35	12	along	along	ADP
ejpam-1675	35	13	with	with	ADP
ejpam-1675	35	14	aic	aic	PROPN
ejpam-1675	35	15	,	,	PUNCT
ejpam-1675	35	16	consistent	consistent	ADJ
ejpam-1675	35	17	akaike	akaike	ADJ
ejpam-1675	35	18	information	information	NOUN
ejpam-1675	35	19	criterion	criterion	NOUN
ejpam-1675	35	20	(	(	PUNCT
ejpam-1675	35	21	caic	caic	PROPN
ejpam-1675	35	22	)	)	PUNCT
ejpam-1675	35	23	,	,	PUNCT
ejpam-1675	35	24	consistent	consistent	ADJ
ejpam-1675	35	25	akaike	akaike	ADJ
ejpam-1675	35	26	information	information	NOUN
ejpam-1675	35	27	criterion	criterion	NOUN
ejpam-1675	35	28	with	with	ADP
ejpam-1675	35	29	fisher	fisher	PROPN
ejpam-1675	35	30	information	information	NOUN
ejpam-1675	35	31	(	(	PUNCT
ejpam-1675	35	32	caic	caic	PROPN
ejpam-1675	35	33	f	f	X
ejpam-1675	35	34	)	)	PUNCT
ejpam-1675	35	35	both	both	PRON
ejpam-1675	35	36	due	due	ADJ
ejpam-1675	35	37	to	to	ADP
ejpam-1675	35	38	[	[	X
ejpam-1675	35	39	4	4	NUM
ejpam-1675	35	40	]	]	PUNCT
ejpam-1675	35	41	,	,	PUNCT
ejpam-1675	35	42	and	and	CCONJ
ejpam-1675	35	43	a	a	DET
ejpam-1675	35	44	bayesian	bayesian	NOUN
ejpam-1675	35	45	model	model	NOUN
ejpam-1675	35	46	selection	selection	NOUN
ejpam-1675	35	47	(	(	PUNCT
ejpam-1675	35	48	bms	bms	NOUN
ejpam-1675	35	49	)	)	PUNCT
ejpam-1675	35	50	criterion	criterion	NOUN
ejpam-1675	35	51	developed	develop	VERB
ejpam-1675	35	52	by	by	ADP
ejpam-1675	35	53	[	[	X
ejpam-1675	35	54	10	10	NUM
ejpam-1675	35	55	]	]	PUNCT
ejpam-1675	35	56	.	.	PUNCT
ejpam-1675	36	1	the	the	DET
ejpam-1675	36	2	rest	rest	NOUN
ejpam-1675	36	3	of	of	ADP
ejpam-1675	36	4	the	the	DET
ejpam-1675	36	5	paper	paper	NOUN
ejpam-1675	36	6	is	be	AUX
ejpam-1675	36	7	organized	organize	VERB
ejpam-1675	36	8	as	as	SCONJ
ejpam-1675	36	9	follows	follow	VERB
ejpam-1675	36	10	.	.	PUNCT
ejpam-1675	37	1	section	section	NOUN
ejpam-1675	37	2	2	2	NUM
ejpam-1675	37	3	provides	provide	VERB
ejpam-1675	37	4	the	the	DET
ejpam-1675	37	5	requisite	requisite	ADJ
ejpam-1675	37	6	background	background	NOUN
ejpam-1675	37	7	on	on	ADP
ejpam-1675	37	8	sem	sem	PROPN
ejpam-1675	37	9	,	,	PUNCT
ejpam-1675	37	10	which	which	PRON
ejpam-1675	37	11	is	be	AUX
ejpam-1675	37	12	then	then	ADV
ejpam-1675	37	13	followed	follow	VERB
ejpam-1675	37	14	by	by	ADP
ejpam-1675	37	15	section	section	NOUN
ejpam-1675	37	16	3	3	NUM
ejpam-1675	37	17	regarding	regard	VERB
ejpam-1675	37	18	aic	aic	PROPN
ejpam-1675	37	19	-	-	PUNCT
ejpam-1675	37	20	type	type	NOUN
ejpam-1675	37	21	and	and	CCONJ
ejpam-1675	37	22	icom	icom	PROPN
ejpam-1675	37	23	p	p	ADJ
ejpam-1675	37	24	-	-	PUNCT
ejpam-1675	37	25	type	type	NOUN
ejpam-1675	37	26	criteria	criterion	NOUN
ejpam-1675	37	27	for	for	ADP
ejpam-1675	37	28	model	model	NOUN
ejpam-1675	37	29	selection	selection	NOUN
ejpam-1675	37	30	.	.	PUNCT
ejpam-1675	38	1	here	here	ADV
ejpam-1675	38	2	,	,	PUNCT
ejpam-1675	38	3	we	we	PRON
ejpam-1675	38	4	define	define	VERB
ejpam-1675	38	5	icom	icom	PROPN
ejpam-1675	38	6	p	p	PROPN
ejpam-1675	38	7	under	under	ADP
ejpam-1675	38	8	the	the	DET
ejpam-1675	38	9	correct	correct	ADJ
ejpam-1675	38	10	and	and	CCONJ
ejpam-1675	38	11	misspecified	misspecified	ADJ
ejpam-1675	38	12	models	model	NOUN
ejpam-1675	38	13	.	.	PUNCT
ejpam-1675	39	1	the	the	DET
ejpam-1675	39	2	basic	basic	ADJ
ejpam-1675	39	3	idea	idea	NOUN
ejpam-1675	39	4	is	be	AUX
ejpam-1675	39	5	that	that	SCONJ
ejpam-1675	39	6	one	one	PRON
ejpam-1675	39	7	can	can	AUX
ejpam-1675	39	8	use	use	VERB
ejpam-1675	39	9	the	the	DET
ejpam-1675	39	10	difference	difference	NOUN
ejpam-1675	39	11	between	between	ADP
ejpam-1675	39	12	icomp(misspecified	icomp(misspecified	ADJ
ejpam-1675	39	13	model	model	NOUN
ejpam-1675	39	14	)	)	PUNCT
ejpam-1675	39	15	and	and	CCONJ
ejpam-1675	39	16	icomp(correctly	icomp(correctly	ADV
ejpam-1675	39	17	specified	specify	VERB
ejpam-1675	39	18	model	model	NOUN
ejpam-1675	39	19	)	)	PUNCT
ejpam-1675	39	20	as	as	ADP
ejpam-1675	39	21	an	an	DET
ejpam-1675	39	22	indication	indication	NOUN
ejpam-1675	39	23	of	of	ADP
ejpam-1675	39	24	possible	possible	ADJ
ejpam-1675	39	25	departures	departure	NOUN
ejpam-1675	39	26	from	from	ADP
ejpam-1675	39	27	the	the	DET
ejpam-1675	39	28	distributional	distributional	ADJ
ejpam-1675	39	29	form	form	NOUN
ejpam-1675	39	30	of	of	ADP
ejpam-1675	39	31	the	the	DET
ejpam-1675	39	32	model	model	NOUN
ejpam-1675	39	33	.	.	PUNCT
ejpam-1675	40	1	this	this	PRON
ejpam-1675	40	2	brings	bring	VERB
ejpam-1675	40	3	out	out	ADP
ejpam-1675	40	4	the	the	DET
ejpam-1675	40	5	most	most	ADV
ejpam-1675	40	6	important	important	ADJ
ejpam-1675	40	7	weakness	weakness	NOUN
ejpam-1675	40	8	of	of	ADP
ejpam-1675	40	9	akaike	akaike	ADJ
ejpam-1675	40	10	-	-	PUNCT
ejpam-1675	40	11	type	type	NOUN
ejpam-1675	40	12	criteria	criterion	NOUN
ejpam-1675	40	13	for	for	ADP
ejpam-1675	40	14	model	model	NOUN
ejpam-1675	40	15	selection	selection	NOUN
ejpam-1675	40	16	,	,	PUNCT
ejpam-1675	40	17	that	that	SCONJ
ejpam-1675	40	18	aic	aic	PROPN
ejpam-1675	40	19	depends	depend	VERB
ejpam-1675	40	20	crucially	crucially	ADV
ejpam-1675	40	21	on	on	ADP
ejpam-1675	40	22	the	the	DET
ejpam-1675	40	23	assumption	assumption	NOUN
ejpam-1675	40	24	that	that	SCONJ
ejpam-1675	40	25	the	the	DET
ejpam-1675	40	26	specified	specified	ADJ
ejpam-1675	40	27	family	family	NOUN
ejpam-1675	40	28	of	of	ADP
ejpam-1675	40	29	models	model	NOUN
ejpam-1675	40	30	includes	include	VERB
ejpam-1675	40	31	the	the	DET
ejpam-1675	40	32	pseudo	pseudo	NOUN
ejpam-1675	40	33	true	true	ADJ
ejpam-1675	40	34	model	model	NOUN
ejpam-1675	40	35	.	.	PUNCT
ejpam-1675	41	1	in	in	ADP
ejpam-1675	41	2	general	general	ADJ
ejpam-1675	41	3	,	,	PUNCT
ejpam-1675	41	4	this	this	PRON
ejpam-1675	41	5	may	may	AUX
ejpam-1675	41	6	not	not	PART
ejpam-1675	41	7	be	be	AUX
ejpam-1675	41	8	the	the	DET
ejpam-1675	41	9	case	case	NOUN
ejpam-1675	41	10	.	.	PUNCT
ejpam-1675	42	1	finally	finally	ADV
ejpam-1675	42	2	,	,	PUNCT
ejpam-1675	42	3	results	result	VERB
ejpam-1675	42	4	with	with	ADP
ejpam-1675	42	5	both	both	CCONJ
ejpam-1675	42	6	simulated	simulated	ADJ
ejpam-1675	42	7	and	and	CCONJ
ejpam-1675	42	8	real	real	ADJ
ejpam-1675	42	9	datasets	dataset	NOUN
ejpam-1675	42	10	are	be	AUX
ejpam-1675	42	11	shown	show	VERB
ejpam-1675	42	12	in	in	ADP
ejpam-1675	42	13	section	section	NOUN
ejpam-1675	42	14	5	5	NUM
ejpam-1675	42	15	.	.	PUNCT
ejpam-1675	43	1	our	our	PRON
ejpam-1675	43	2	simulation	simulation	NOUN
ejpam-1675	43	3	results	result	NOUN
ejpam-1675	43	4	are	be	AUX
ejpam-1675	43	5	based	base	VERB
ejpam-1675	43	6	on	on	ADP
ejpam-1675	43	7	three	three	NUM
ejpam-1675	43	8	models	model	NOUN
ejpam-1675	43	9	based	base	VERB
ejpam-1675	43	10	on	on	ADP
ejpam-1675	43	11	a	a	DET
ejpam-1675	43	12	slight	slight	ADJ
ejpam-1675	43	13	modification	modification	NOUN
ejpam-1675	43	14	of	of	ADP
ejpam-1675	43	15	fan	fan	PROPN
ejpam-1675	43	16	’s	’s	PART
ejpam-1675	43	17	simulation	simulation	NOUN
ejpam-1675	43	18	protocol	protocol	NOUN
ejpam-1675	43	19	[	[	X
ejpam-1675	43	20	15	15	NUM
ejpam-1675	43	21	]	]	PUNCT
ejpam-1675	43	22	to	to	PART
ejpam-1675	43	23	achieve	achieve	VERB
ejpam-1675	43	24	convergence	convergence	NOUN
ejpam-1675	43	25	in	in	ADP
ejpam-1675	43	26	lisrel	lisrel	NOUN
ejpam-1675	43	27	.	.	PUNCT
ejpam-1675	44	1	e.	e.	PROPN
ejpam-1675	44	2	howe	howe	PROPN
ejpam-1675	44	3	,	,	PUNCT
ejpam-1675	44	4	h.	h.	PROPN
ejpam-1675	44	5	bozdogan	bozdogan	PROPN
ejpam-1675	44	6	,	,	PUNCT
ejpam-1675	44	7	g.	g.	PROPN
ejpam-1675	44	8	kıroğlu	kıroğlu	PROPN
ejpam-1675	44	9	/	/	SYM
ejpam-1675	44	10	eur	eur	PROPN
ejpam-1675	44	11	.	.	PUNCT
ejpam-1675	45	1	j.	j.	PROPN
ejpam-1675	45	2	pure	pure	PROPN
ejpam-1675	45	3	appl	appl	PROPN
ejpam-1675	45	4	.	.	PROPN
ejpam-1675	45	5	math	math	PROPN
ejpam-1675	45	6	,	,	PUNCT
ejpam-1675	45	7	5	5	NUM
ejpam-1675	45	8	(	(	PUNCT
ejpam-1675	45	9	2012	2012	NUM
ejpam-1675	45	10	)	)	PUNCT
ejpam-1675	45	11	,	,	PUNCT
ejpam-1675	45	12	282	282	NUM
ejpam-1675	45	13	-	-	SYM
ejpam-1675	45	14	301	301	NUM
ejpam-1675	45	15	284	284	NUM
ejpam-1675	45	16	2	2	NUM
ejpam-1675	45	17	.	.	PUNCT
ejpam-1675	45	18	structural	structural	ADJ
ejpam-1675	45	19	equation	equation	NOUN
ejpam-1675	45	20	model	model	NOUN
ejpam-1675	45	21	with	with	ADP
ejpam-1675	45	22	latent	latent	NOUN
ejpam-1675	45	23	variables	variable	NOUN
ejpam-1675	45	24	general	general	ADJ
ejpam-1675	45	25	sems	sem	NOUN
ejpam-1675	45	26	consist	consist	VERB
ejpam-1675	45	27	of	of	ADP
ejpam-1675	45	28	two	two	NUM
ejpam-1675	45	29	models	model	NOUN
ejpam-1675	45	30	referred	refer	VERB
ejpam-1675	45	31	to	to	ADP
ejpam-1675	45	32	as	as	ADP
ejpam-1675	45	33	measurement	measurement	NOUN
ejpam-1675	45	34	and	and	CCONJ
ejpam-1675	45	35	structural	structural	ADJ
ejpam-1675	45	36	equation	equation	NOUN
ejpam-1675	45	37	(	(	PUNCT
ejpam-1675	45	38	or	or	CCONJ
ejpam-1675	45	39	latent	latent	ADJ
ejpam-1675	45	40	variable	variable	NOUN
ejpam-1675	45	41	)	)	PUNCT
ejpam-1675	45	42	models	model	NOUN
ejpam-1675	45	43	.	.	PUNCT
ejpam-1675	46	1	the	the	DET
ejpam-1675	46	2	structural	structural	ADJ
ejpam-1675	46	3	equation	equation	NOUN
ejpam-1675	46	4	model	model	NOUN
ejpam-1675	46	5	defines	define	NOUN
ejpam-1675	46	6	relationship	relationship	NOUN
ejpam-1675	46	7	between	between	ADP
ejpam-1675	46	8	latent	latent	NOUN
ejpam-1675	46	9	variables	variable	NOUN
ejpam-1675	46	10	.	.	PUNCT
ejpam-1675	47	1	this	this	DET
ejpam-1675	47	2	model	model	NOUN
ejpam-1675	47	3	is	be	AUX
ejpam-1675	47	4	a	a	DET
ejpam-1675	47	5	path	path	NOUN
ejpam-1675	47	6	model	model	NOUN
ejpam-1675	47	7	adapted	adapt	VERB
ejpam-1675	47	8	to	to	ADP
ejpam-1675	47	9	latent	latent	NOUN
ejpam-1675	47	10	variables	variable	NOUN
ejpam-1675	47	11	.	.	PUNCT
ejpam-1675	48	1	the	the	DET
ejpam-1675	48	2	measurement	measurement	NOUN
ejpam-1675	48	3	model	model	NOUN
ejpam-1675	48	4	is	be	AUX
ejpam-1675	48	5	a	a	DET
ejpam-1675	48	6	confirmatory	confirmatory	NOUN
ejpam-1675	48	7	factor	factor	NOUN
ejpam-1675	48	8	(	(	PUNCT
ejpam-1675	48	9	cf	cf	NOUN
ejpam-1675	48	10	)	)	PUNCT
ejpam-1675	48	11	model	model	NOUN
ejpam-1675	48	12	which	which	PRON
ejpam-1675	48	13	defines	define	VERB
ejpam-1675	48	14	relationship	relationship	NOUN
ejpam-1675	48	15	between	between	ADP
ejpam-1675	48	16	observed	observed	ADJ
ejpam-1675	48	17	and	and	CCONJ
ejpam-1675	48	18	latent	latent	NOUN
ejpam-1675	48	19	variables	variable	NOUN
ejpam-1675	48	20	.	.	PUNCT
ejpam-1675	49	1	latent	latent	NOUN
ejpam-1675	49	2	variables	variable	NOUN
ejpam-1675	49	3	in	in	ADP
ejpam-1675	49	4	the	the	DET
ejpam-1675	49	5	measurement	measurement	NOUN
ejpam-1675	49	6	model	model	NOUN
ejpam-1675	49	7	are	be	AUX
ejpam-1675	49	8	the	the	DET
ejpam-1675	49	9	factors	factor	NOUN
ejpam-1675	49	10	in	in	ADP
ejpam-1675	49	11	the	the	DET
ejpam-1675	49	12	cf	cf	NOUN
ejpam-1675	49	13	model	model	NOUN
ejpam-1675	49	14	.	.	PUNCT
ejpam-1675	50	1	following	follow	VERB
ejpam-1675	50	2	[	[	X
ejpam-1675	50	3	19	19	NUM
ejpam-1675	50	4	]	]	PUNCT
ejpam-1675	50	5	in	in	ADP
ejpam-1675	50	6	matrix	matrix	NOUN
ejpam-1675	50	7	notation	notation	NOUN
ejpam-1675	50	8	,	,	PUNCT
ejpam-1675	50	9	we	we	PRON
ejpam-1675	50	10	define	define	VERB
ejpam-1675	50	11	the	the	DET
ejpam-1675	50	12	general	general	ADJ
ejpam-1675	50	13	sem	sem	PROPN
ejpam-1675	50	14	model	model	NOUN
ejpam-1675	50	15	with	with	ADP
ejpam-1675	50	16	these	these	DET
ejpam-1675	50	17	two	two	NUM
ejpam-1675	50	18	models	model	NOUN
ejpam-1675	50	19	by	by	ADP
ejpam-1675	50	20	three	three	NUM
ejpam-1675	50	21	equations	equation	NOUN
ejpam-1675	50	22	:	:	PUNCT
ejpam-1675	50	23	structural	structural	ADJ
ejpam-1675	50	24	equation	equation	NOUN
ejpam-1675	50	25	model	model	NOUN
ejpam-1675	50	26	:	:	PUNCT
ejpam-1675	50	27	η	η	PROPN
ejpam-1675	50	28	(	(	PUNCT
ejpam-1675	50	29	r×1	r×1	PROPN
ejpam-1675	50	30	)	)	PUNCT
ejpam-1675	50	31	=	=	PRON
ejpam-1675	51	1	bη	bη	VERB
ejpam-1675	51	2	(	(	PUNCT
ejpam-1675	51	3	r×r)(r×1	r×r)(r×1	PROPN
ejpam-1675	51	4	)	)	PUNCT
ejpam-1675	51	5	+	+	CCONJ
ejpam-1675	51	6	γξ	γξ	ADP
ejpam-1675	51	7	(	(	PUNCT
ejpam-1675	51	8	r×s)(s×1	r×s)(s×1	NOUN
ejpam-1675	51	9	)	)	PUNCT
ejpam-1675	51	10	+	+	CCONJ
ejpam-1675	51	11	ζ	ζ	NOUN
ejpam-1675	51	12	(	(	PUNCT
ejpam-1675	51	13	r×1	r×1	PROPN
ejpam-1675	51	14	)	)	PUNCT
ejpam-1675	51	15	measurement	measurement	NOUN
ejpam-1675	51	16	model	model	NOUN
ejpam-1675	51	17	for	for	ADP
ejpam-1675	51	18	y	y	PROPN
ejpam-1675	51	19	:	:	PUNCT
ejpam-1675	51	20	y	y	PROPN
ejpam-1675	51	21	(	(	PUNCT
ejpam-1675	51	22	p×1	p×1	PROPN
ejpam-1675	51	23	)	)	PUNCT
ejpam-1675	51	24	=	=	SYM
ejpam-1675	52	1	λyη	λyη	X
ejpam-1675	52	2	(	(	PUNCT
ejpam-1675	52	3	p×r)(r×1	p×r)(r×1	PROPN
ejpam-1675	52	4	)	)	PUNCT
ejpam-1675	53	1	+	+	CCONJ
ejpam-1675	53	2	ǫ	ǫ	PRON
ejpam-1675	53	3	(	(	PUNCT
ejpam-1675	53	4	p×1	p×1	PROPN
ejpam-1675	53	5	)	)	PUNCT
ejpam-1675	53	6	measurement	measurement	NOUN
ejpam-1675	53	7	model	model	NOUN
ejpam-1675	53	8	for	for	ADP
ejpam-1675	53	9	x	x	SYM
ejpam-1675	53	10	:	:	PUNCT
ejpam-1675	53	11	x	x	X
ejpam-1675	53	12	(	(	PUNCT
ejpam-1675	53	13	q×1	q×1	NOUN
ejpam-1675	53	14	)	)	PUNCT
ejpam-1675	53	15	=	=	SYM
ejpam-1675	54	1	λxξ	λxξ	X
ejpam-1675	54	2	(	(	PUNCT
ejpam-1675	54	3	q×s)(s×1	q×s)(s×1	ADV
ejpam-1675	54	4	)	)	PUNCT
ejpam-1675	55	1	+	+	CCONJ
ejpam-1675	55	2	δ	δ	PROPN
ejpam-1675	55	3	(	(	PUNCT
ejpam-1675	55	4	q×1	q×1	PROPN
ejpam-1675	55	5	)	)	PUNCT
ejpam-1675	55	6	where	where	SCONJ
ejpam-1675	55	7	η	η	PROPN
ejpam-1675	55	8	is	be	AUX
ejpam-1675	55	9	a	a	DET
ejpam-1675	55	10	(	(	PUNCT
ejpam-1675	55	11	r×1	r×1	PROPN
ejpam-1675	55	12	)	)	PUNCT
ejpam-1675	55	13	vector	vector	NOUN
ejpam-1675	55	14	of	of	ADP
ejpam-1675	55	15	latent	latent	NOUN
ejpam-1675	55	16	endogenous	endogenous	ADJ
ejpam-1675	55	17	(	(	PUNCT
ejpam-1675	55	18	or	or	CCONJ
ejpam-1675	55	19	dependent	dependent	ADJ
ejpam-1675	55	20	)	)	PUNCT
ejpam-1675	55	21	variables	variable	NOUN
ejpam-1675	55	22	,	,	PUNCT
ejpam-1675	55	23	ξ	ξ	X
ejpam-1675	55	24	is	be	AUX
ejpam-1675	55	25	(	(	PUNCT
ejpam-1675	55	26	s×1	s×1	NOUN
ejpam-1675	55	27	)	)	PUNCT
ejpam-1675	55	28	vector	vector	NOUN
ejpam-1675	55	29	of	of	ADP
ejpam-1675	55	30	latent	latent	NOUN
ejpam-1675	55	31	exogenous	exogenous	ADJ
ejpam-1675	55	32	(	(	PUNCT
ejpam-1675	55	33	or	or	CCONJ
ejpam-1675	55	34	independent	independent	ADJ
ejpam-1675	55	35	)	)	PUNCT
ejpam-1675	55	36	variables	variable	NOUN
ejpam-1675	55	37	,	,	PUNCT
ejpam-1675	55	38	ζ	ζ	NOUN
ejpam-1675	55	39	is	be	AUX
ejpam-1675	55	40	(	(	PUNCT
ejpam-1675	55	41	r	r	NOUN
ejpam-1675	55	42	×	×	NOUN
ejpam-1675	55	43	1	1	NUM
ejpam-1675	55	44	)	)	PUNCT
ejpam-1675	55	45	vector	vector	NOUN
ejpam-1675	55	46	of	of	ADP
ejpam-1675	55	47	latent	latent	ADJ
ejpam-1675	55	48	errors	error	NOUN
ejpam-1675	55	49	in	in	ADP
ejpam-1675	55	50	equations	equation	NOUN
ejpam-1675	55	51	,	,	PUNCT
ejpam-1675	55	52	β	β	X
ejpam-1675	55	53	is	be	AUX
ejpam-1675	55	54	an	an	DET
ejpam-1675	55	55	(	(	PUNCT
ejpam-1675	55	56	r	r	NOUN
ejpam-1675	55	57	×	×	PROPN
ejpam-1675	55	58	r	r	NOUN
ejpam-1675	55	59	)	)	PUNCT
ejpam-1675	55	60	coefficient	coefficient	NOUN
ejpam-1675	55	61	matrix	matrix	NOUN
ejpam-1675	55	62	for	for	ADP
ejpam-1675	55	63	the	the	DET
ejpam-1675	55	64	latent	latent	NOUN
ejpam-1675	55	65	endogenous	endogenous	ADJ
ejpam-1675	55	66	variables	variable	NOUN
ejpam-1675	55	67	,	,	PUNCT
ejpam-1675	55	68	and	and	CCONJ
ejpam-1675	55	69	γ	γ	NOUN
ejpam-1675	55	70	is	be	AUX
ejpam-1675	55	71	a	a	DET
ejpam-1675	55	72	(	(	PUNCT
ejpam-1675	55	73	r	r	NOUN
ejpam-1675	55	74	×	×	PROPN
ejpam-1675	55	75	s	s	PART
ejpam-1675	55	76	)	)	PUNCT
ejpam-1675	55	77	coefficient	coefficient	NOUN
ejpam-1675	55	78	matrix	matrix	NOUN
ejpam-1675	55	79	for	for	ADP
ejpam-1675	55	80	the	the	DET
ejpam-1675	55	81	latent	latent	NOUN
ejpam-1675	55	82	exogenous	exogenous	ADJ
ejpam-1675	55	83	variables	variable	NOUN
ejpam-1675	55	84	.	.	PUNCT
ejpam-1675	56	1	the	the	DET
ejpam-1675	56	2	structural	structural	ADJ
ejpam-1675	56	3	model	model	NOUN
ejpam-1675	56	4	specifies	specify	VERB
ejpam-1675	56	5	the	the	DET
ejpam-1675	56	6	causal	causal	ADJ
ejpam-1675	56	7	relationships	relationship	NOUN
ejpam-1675	56	8	among	among	ADP
ejpam-1675	56	9	the	the	DET
ejpam-1675	56	10	latent	latent	NOUN
ejpam-1675	56	11	endogenous	endogenous	ADJ
ejpam-1675	56	12	variables	variable	NOUN
ejpam-1675	56	13	in	in	ADP
ejpam-1675	56	14	β	β	PROPN
ejpam-1675	56	15	,	,	PUNCT
ejpam-1675	56	16	between	between	ADP
ejpam-1675	56	17	the	the	DET
ejpam-1675	56	18	exogenous	exogenous	ADJ
ejpam-1675	56	19	and	and	CCONJ
ejpam-1675	56	20	endogenous	endogenous	ADJ
ejpam-1675	56	21	variables	variable	NOUN
ejpam-1675	56	22	in	in	ADP
ejpam-1675	56	23	γ	γ	PROPN
ejpam-1675	56	24	,	,	PUNCT
ejpam-1675	56	25	and	and	CCONJ
ejpam-1675	56	26	describes	describe	VERB
ejpam-1675	56	27	unexplained	unexplained	ADJ
ejpam-1675	56	28	residuals	residual	NOUN
ejpam-1675	56	29	of	of	ADP
ejpam-1675	56	30	the	the	DET
ejpam-1675	56	31	latent	latent	NOUN
ejpam-1675	56	32	factors	factor	NOUN
ejpam-1675	56	33	in	in	ADP
ejpam-1675	56	34	ζ	ζ	NOUN
ejpam-1675	56	35	.	.	PUNCT
ejpam-1675	57	1	the	the	DET
ejpam-1675	57	2	usual	usual	ADJ
ejpam-1675	57	3	assumptions	assumption	NOUN
ejpam-1675	57	4	for	for	ADP
ejpam-1675	57	5	the	the	DET
ejpam-1675	57	6	structural	structural	ADJ
ejpam-1675	57	7	model	model	NOUN
ejpam-1675	57	8	are	be	AUX
ejpam-1675	57	9	that	that	PRON
ejpam-1675	57	10	:	:	PUNCT
ejpam-1675	57	11	e(η	e(η	NOUN
ejpam-1675	57	12	)	)	PUNCT
ejpam-1675	57	13	=	=	SYM
ejpam-1675	57	14	e(ξ	e(ξ	NOUN
ejpam-1675	57	15	)	)	PUNCT
ejpam-1675	57	16	=	=	SYM
ejpam-1675	57	17	e(ζ	e(ζ	X
ejpam-1675	57	18	)	)	PUNCT
ejpam-1675	57	19	=	=	SYM
ejpam-1675	57	20	0	0	NUM
ejpam-1675	57	21	,	,	PUNCT
ejpam-1675	57	22	ζ	ζ	NOUN
ejpam-1675	57	23	is	be	AUX
ejpam-1675	57	24	uncorrelated	uncorrelate	VERB
ejpam-1675	57	25	with	with	ADP
ejpam-1675	57	26	ξ	ξ	PROPN
ejpam-1675	57	27	,	,	PUNCT
ejpam-1675	57	28	and	and	CCONJ
ejpam-1675	57	29	(	(	PUNCT
ejpam-1675	57	30	i	i	PRON
ejpam-1675	57	31	−β	−β	NOUN
ejpam-1675	57	32	)	)	PUNCT
ejpam-1675	57	33	is	be	AUX
ejpam-1675	57	34	nonsingular	nonsingular	ADJ
ejpam-1675	57	35	.	.	PUNCT
ejpam-1675	58	1	the	the	DET
ejpam-1675	58	2	covariance	covariance	NOUN
ejpam-1675	58	3	matrix	matrix	NOUN
ejpam-1675	58	4	,	,	PUNCT
ejpam-1675	58	5	e(ξξ′	e(ξξ′	NOUN
ejpam-1675	58	6	)	)	PUNCT
ejpam-1675	58	7	=	=	SYM
ejpam-1675	58	8	φ	φ	PROPN
ejpam-1675	58	9	,	,	PUNCT
ejpam-1675	58	10	(	(	PUNCT
ejpam-1675	58	11	1	1	X
ejpam-1675	58	12	)	)	PUNCT
ejpam-1675	58	13	is	be	AUX
ejpam-1675	58	14	an	an	DET
ejpam-1675	58	15	(	(	PUNCT
ejpam-1675	58	16	s×	s×	PROPN
ejpam-1675	58	17	s	s	PART
ejpam-1675	58	18	)	)	PUNCT
ejpam-1675	58	19	covariance	covariance	NOUN
ejpam-1675	58	20	matrix	matrix	NOUN
ejpam-1675	58	21	of	of	ADP
ejpam-1675	58	22	the	the	DET
ejpam-1675	58	23	latent	latent	NOUN
ejpam-1675	58	24	exogenous	exogenous	ADJ
ejpam-1675	58	25	variables	variable	NOUN
ejpam-1675	58	26	,	,	PUNCT
ejpam-1675	58	27	and	and	CCONJ
ejpam-1675	58	28	e(ζζ′	e(ζζ′	NUM
ejpam-1675	58	29	)	)	PUNCT
ejpam-1675	59	1	=	=	SYM
ejpam-1675	59	2	ψ	ψ	X
ejpam-1675	59	3	(	(	PUNCT
ejpam-1675	59	4	2	2	NUM
ejpam-1675	59	5	)	)	PUNCT
ejpam-1675	59	6	is	be	AUX
ejpam-1675	59	7	an	an	DET
ejpam-1675	59	8	(	(	PUNCT
ejpam-1675	59	9	r	r	NOUN
ejpam-1675	59	10	×	×	PROPN
ejpam-1675	59	11	r	r	NOUN
ejpam-1675	59	12	)	)	PUNCT
ejpam-1675	59	13	covariance	covariance	NOUN
ejpam-1675	59	14	matrix	matrix	NOUN
ejpam-1675	59	15	of	of	ADP
ejpam-1675	59	16	the	the	DET
ejpam-1675	59	17	latent	latent	ADJ
ejpam-1675	59	18	errors	error	NOUN
ejpam-1675	59	19	in	in	ADP
ejpam-1675	59	20	equations	equation	NOUN
ejpam-1675	59	21	.	.	PUNCT
ejpam-1675	60	1	the	the	DET
ejpam-1675	60	2	measurement	measurement	NOUN
ejpam-1675	60	3	model	model	NOUN
ejpam-1675	60	4	specifies	specify	VERB
ejpam-1675	60	5	how	how	SCONJ
ejpam-1675	60	6	the	the	DET
ejpam-1675	60	7	observed	observed	ADJ
ejpam-1675	60	8	variables	variable	NOUN
ejpam-1675	60	9	,	,	PUNCT
ejpam-1675	60	10	x	x	PUNCT
ejpam-1675	60	11	and	and	CCONJ
ejpam-1675	60	12	y	y	PROPN
ejpam-1675	60	13	,	,	PUNCT
ejpam-1675	60	14	are	be	AUX
ejpam-1675	60	15	determined	determine	VERB
ejpam-1675	60	16	through	through	ADP
ejpam-1675	60	17	λx	λx	PROPN
ejpam-1675	60	18	and	and	CCONJ
ejpam-1675	60	19	λy	λy	PROPN
ejpam-1675	60	20	by	by	ADP
ejpam-1675	60	21	the	the	DET
ejpam-1675	60	22	latent	latent	NOUN
ejpam-1675	60	23	variables	variable	NOUN
ejpam-1675	60	24	,	,	PUNCT
ejpam-1675	60	25	ξ	ξ	PROPN
ejpam-1675	60	26	and	and	CCONJ
ejpam-1675	60	27	η	η	PROPN
ejpam-1675	60	28	,	,	PUNCT
ejpam-1675	60	29	respectively	respectively	ADV
ejpam-1675	60	30	.	.	PUNCT
ejpam-1675	61	1	the	the	DET
ejpam-1675	61	2	ǫ	ǫ	NOUN
ejpam-1675	61	3	and	and	CCONJ
ejpam-1675	61	4	δ	δ	PROPN
ejpam-1675	61	5	terms	term	NOUN
ejpam-1675	61	6	represent	represent	VERB
ejpam-1675	61	7	the	the	DET
ejpam-1675	61	8	residuals	residual	NOUN
ejpam-1675	61	9	in	in	ADP
ejpam-1675	61	10	x	x	PUNCT
ejpam-1675	61	11	and	and	CCONJ
ejpam-1675	61	12	y	y	PROPN
ejpam-1675	61	13	unexplained	unexplained	ADJ
ejpam-1675	61	14	by	by	ADP
ejpam-1675	61	15	ξ	ξ	PROPN
ejpam-1675	61	16	and	and	CCONJ
ejpam-1675	61	17	η	η	PROPN
ejpam-1675	61	18	.	.	PUNCT
ejpam-1675	62	1	the	the	DET
ejpam-1675	62	2	usual	usual	ADJ
ejpam-1675	62	3	assumptions	assumption	NOUN
ejpam-1675	62	4	for	for	ADP
ejpam-1675	62	5	the	the	DET
ejpam-1675	62	6	measurement	measurement	NOUN
ejpam-1675	62	7	model	model	NOUN
ejpam-1675	62	8	are	be	AUX
ejpam-1675	62	9	:	:	PUNCT
ejpam-1675	62	10	e(η	e(η	NOUN
ejpam-1675	62	11	)	)	PUNCT
ejpam-1675	62	12	=	=	SYM
ejpam-1675	63	1	e(ξ	e(ξ	NOUN
ejpam-1675	63	2	)	)	PUNCT
ejpam-1675	63	3	=	=	SYM
ejpam-1675	63	4	e(ǫ	e(ǫ	PROPN
ejpam-1675	63	5	)	)	PUNCT
ejpam-1675	63	6	=	=	SYM
ejpam-1675	63	7	e(δ	e(δ	X
ejpam-1675	63	8	)	)	PUNCT
ejpam-1675	63	9	=	=	SYM
ejpam-1675	63	10	0	0	NUM
ejpam-1675	63	11	.	.	PUNCT
ejpam-1675	64	1	furthermore	furthermore	ADV
ejpam-1675	64	2	,	,	PUNCT
ejpam-1675	64	3	ǫ	ǫ	NOUN
ejpam-1675	64	4	is	be	AUX
ejpam-1675	64	5	uncorrelated	uncorrelate	VERB
ejpam-1675	64	6	with	with	ADP
ejpam-1675	64	7	ξ	ξ	PROPN
ejpam-1675	64	8	,	,	PUNCT
ejpam-1675	64	9	η	η	PROPN
ejpam-1675	64	10	and	and	CCONJ
ejpam-1675	64	11	δ	δ	PROPN
ejpam-1675	64	12	.	.	PUNCT
ejpam-1675	65	1	likewise	likewise	ADV
ejpam-1675	65	2	,	,	PUNCT
ejpam-1675	65	3	δ	δ	PROPN
ejpam-1675	65	4	is	be	AUX
ejpam-1675	65	5	uncorrelated	uncorrelate	VERB
ejpam-1675	65	6	with	with	ADP
ejpam-1675	65	7	ξ	ξ	PROPN
ejpam-1675	65	8	,	,	PUNCT
ejpam-1675	65	9	η	η	PROPN
ejpam-1675	65	10	and	and	CCONJ
ejpam-1675	65	11	ǫ	ǫ	NOUN
ejpam-1675	65	12	.	.	PUNCT
ejpam-1675	66	1	the	the	DET
ejpam-1675	66	2	covariances	covariance	NOUN
ejpam-1675	66	3	matrices	matrice	VERB
ejpam-1675	66	4	in	in	ADP
ejpam-1675	66	5	the	the	DET
ejpam-1675	66	6	case	case	NOUN
ejpam-1675	66	7	of	of	ADP
ejpam-1675	66	8	the	the	DET
ejpam-1675	66	9	measurement	measurement	NOUN
ejpam-1675	66	10	model	model	NOUN
ejpam-1675	66	11	are	be	AUX
ejpam-1675	66	12	:	:	PUNCT
ejpam-1675	66	13	e(ǫǫ′	e(ǫǫ′	ADJ
ejpam-1675	66	14	)	)	PUNCT
ejpam-1675	67	1	=	=	SYM
ejpam-1675	67	2	θǫ	θǫ	NOUN
ejpam-1675	67	3	=	=	SYM
ejpam-1675	67	4	σ(ǫ	σ(ǫ	NOUN
ejpam-1675	67	5	)	)	PUNCT
ejpam-1675	67	6	,	,	PUNCT
ejpam-1675	67	7	(	(	PUNCT
ejpam-1675	67	8	3	3	X
ejpam-1675	67	9	)	)	PUNCT
ejpam-1675	67	10	a	a	DET
ejpam-1675	67	11	(	(	PUNCT
ejpam-1675	67	12	p×	p×	NOUN
ejpam-1675	67	13	p	p	NOUN
ejpam-1675	67	14	)	)	PUNCT
ejpam-1675	67	15	covariance	covariance	NOUN
ejpam-1675	67	16	matrix	matrix	NOUN
ejpam-1675	67	17	of	of	ADP
ejpam-1675	67	18	ǫ	ǫ	NOUN
ejpam-1675	67	19	,	,	PUNCT
ejpam-1675	67	20	and	and	CCONJ
ejpam-1675	67	21	e(δδ′	e(δδ′	PROPN
ejpam-1675	67	22	)	)	PUNCT
ejpam-1675	68	1	=	=	SYM
ejpam-1675	68	2	θδ	θδ	ADP
ejpam-1675	68	3	=	=	SYM
ejpam-1675	68	4	σ(δ	σ(δ	PROPN
ejpam-1675	68	5	)	)	PUNCT
ejpam-1675	68	6	,	,	PUNCT
ejpam-1675	68	7	(	(	PUNCT
ejpam-1675	68	8	4	4	X
ejpam-1675	68	9	)	)	PUNCT
ejpam-1675	68	10	a	a	DET
ejpam-1675	68	11	(	(	PUNCT
ejpam-1675	68	12	q×	q×	ADJ
ejpam-1675	68	13	q	q	ADJ
ejpam-1675	68	14	)	)	PUNCT
ejpam-1675	68	15	covariance	covariance	NOUN
ejpam-1675	68	16	matrix	matrix	NOUN
ejpam-1675	68	17	of	of	ADP
ejpam-1675	68	18	δ	δ	PROPN
ejpam-1675	68	19	.	.	PUNCT
ejpam-1675	69	1	e.	e.	PROPN
ejpam-1675	69	2	howe	howe	PROPN
ejpam-1675	69	3	,	,	PUNCT
ejpam-1675	69	4	h.	h.	PROPN
ejpam-1675	69	5	bozdogan	bozdogan	PROPN
ejpam-1675	69	6	,	,	PUNCT
ejpam-1675	69	7	g.	g.	PROPN
ejpam-1675	69	8	kıroğlu	kıroğlu	PROPN
ejpam-1675	69	9	/	/	SYM
ejpam-1675	69	10	eur	eur	PROPN
ejpam-1675	69	11	.	.	PUNCT
ejpam-1675	70	1	j.	j.	PROPN
ejpam-1675	70	2	pure	pure	PROPN
ejpam-1675	70	3	appl	appl	PROPN
ejpam-1675	70	4	.	.	PROPN
ejpam-1675	70	5	math	math	PROPN
ejpam-1675	70	6	,	,	PUNCT
ejpam-1675	70	7	5	5	NUM
ejpam-1675	70	8	(	(	PUNCT
ejpam-1675	70	9	2012	2012	NUM
ejpam-1675	70	10	)	)	PUNCT
ejpam-1675	70	11	,	,	PUNCT
ejpam-1675	70	12	282	282	NUM
ejpam-1675	70	13	-	-	SYM
ejpam-1675	70	14	301	301	NUM
ejpam-1675	70	15	285	285	NUM
ejpam-1675	70	16	according	accord	VERB
ejpam-1675	70	17	to	to	ADP
ejpam-1675	70	18	the	the	DET
ejpam-1675	70	19	measurement	measurement	NOUN
ejpam-1675	70	20	and	and	CCONJ
ejpam-1675	70	21	structural	structural	ADJ
ejpam-1675	70	22	equation	equation	NOUN
ejpam-1675	70	23	models	model	NOUN
ejpam-1675	70	24	,	,	PUNCT
ejpam-1675	70	25	the	the	DET
ejpam-1675	70	26	implied	imply	VERB
ejpam-1675	70	27	full	full	ADJ
ejpam-1675	70	28	covariance	covariance	NOUN
ejpam-1675	70	29	matrix	matrix	NOUN
ejpam-1675	70	30	,	,	PUNCT
ejpam-1675	70	31	σ(θ	σ(θ	PROPN
ejpam-1675	70	32	)	)	PUNCT
ejpam-1675	70	33	,	,	PUNCT
ejpam-1675	70	34	for	for	SCONJ
ejpam-1675	70	35	the	the	DET
ejpam-1675	70	36	general	general	ADJ
ejpam-1675	70	37	sem	sem	NOUN
ejpam-1675	70	38	is	be	AUX
ejpam-1675	70	39	given	give	VERB
ejpam-1675	70	40	by	by	ADP
ejpam-1675	70	41	σ(θ	σ(θ	PROPN
ejpam-1675	70	42	)	)	PUNCT
ejpam-1675	70	43	=	=	SYM
ejpam-1675	70	44	�	�	PROPN
ejpam-1675	70	45	λy(i	λy(i	PUNCT
ejpam-1675	70	46	−	−	PROPN
ejpam-1675	70	47	b)−1(γφγ′	b)−1(γφγ′	PROPN
ejpam-1675	71	1	+	+	PROPN
ejpam-1675	71	2	ψ)[(i	ψ)[(i	X
ejpam-1675	71	3	−	−	NOUN
ejpam-1675	72	1	b)−1]′λ′y	b)−1]′λ′y	ADJ
ejpam-1675	72	2	+	+	ADP
ejpam-1675	72	3	θε	θε	NOUN
ejpam-1675	72	4	λy(i	λy(i	ADJ
ejpam-1675	72	5	−	−	PROPN
ejpam-1675	72	6	b)−1γφλ′x	b)−1γφλ′x	PROPN
ejpam-1675	72	7	(	(	PUNCT
ejpam-1675	72	8	λy(i	λy(i	NUM
ejpam-1675	72	9	−	−	PROPN
ejpam-1675	72	10	b)−1γφλ′x	b)−1γφλ′x	PROPN
ejpam-1675	72	11	)	)	PUNCT
ejpam-1675	72	12	′	′	NUM
ejpam-1675	72	13	λxφλ	λxφλ	NOUN
ejpam-1675	73	1	′	′	NUM
ejpam-1675	73	2	x	x	PUNCT
ejpam-1675	74	1	+	+	NOUN
ejpam-1675	74	2	θδ	θδ	ADP
ejpam-1675	74	3	�	�	PROPN
ejpam-1675	74	4	.	.	PUNCT
ejpam-1675	75	1	(	(	PUNCT
ejpam-1675	75	2	5	5	X
ejpam-1675	75	3	)	)	PUNCT
ejpam-1675	75	4	the	the	DET
ejpam-1675	75	5	elements	element	NOUN
ejpam-1675	75	6	of	of	ADP
ejpam-1675	75	7	the	the	DET
ejpam-1675	75	8	general	general	ADJ
ejpam-1675	75	9	implied	imply	VERB
ejpam-1675	75	10	covariance	covariance	NOUN
ejpam-1675	75	11	matrix	matrix	NOUN
ejpam-1675	75	12	are	be	AUX
ejpam-1675	75	13	functions	function	NOUN
ejpam-1675	75	14	of	of	ADP
ejpam-1675	75	15	b	b	NOUN
ejpam-1675	75	16	,	,	PUNCT
ejpam-1675	75	17	γ	γ	PROPN
ejpam-1675	75	18	,	,	PUNCT
ejpam-1675	75	19	λy	λy	PROPN
ejpam-1675	75	20	,	,	PUNCT
ejpam-1675	75	21	λx	λx	PROPN
ejpam-1675	75	22	,	,	PUNCT
ejpam-1675	75	23	φ	φ	PROPN
ejpam-1675	75	24	,	,	PUNCT
ejpam-1675	75	25	ψ	ψ	SYM
ejpam-1675	75	26	,	,	PUNCT
ejpam-1675	75	27	θε	θε	NOUN
ejpam-1675	75	28	and	and	CCONJ
ejpam-1675	75	29	θδ	θδ	X
ejpam-1675	75	30	.	.	PUNCT
ejpam-1675	75	31	to	to	PART
ejpam-1675	75	32	be	be	AUX
ejpam-1675	75	33	able	able	ADJ
ejpam-1675	75	34	to	to	PART
ejpam-1675	75	35	use	use	VERB
ejpam-1675	75	36	sem	sem	NOUN
ejpam-1675	75	37	,	,	PUNCT
ejpam-1675	75	38	we	we	PRON
ejpam-1675	75	39	need	need	VERB
ejpam-1675	75	40	to	to	PART
ejpam-1675	75	41	specify	specify	VERB
ejpam-1675	75	42	the	the	DET
ejpam-1675	75	43	pattern	pattern	NOUN
ejpam-1675	75	44	of	of	ADP
ejpam-1675	75	45	the	the	DET
ejpam-1675	75	46	elements	element	NOUN
ejpam-1675	75	47	of	of	ADP
ejpam-1675	75	48	these	these	DET
ejpam-1675	75	49	eight	eight	NUM
ejpam-1675	75	50	matrices	matrix	NOUN
ejpam-1675	75	51	.	.	PUNCT
ejpam-1675	76	1	there	there	PRON
ejpam-1675	76	2	are	be	VERB
ejpam-1675	76	3	three	three	NUM
ejpam-1675	76	4	kinds	kind	NOUN
ejpam-1675	76	5	of	of	ADP
ejpam-1675	76	6	specifications	specification	NOUN
ejpam-1675	76	7	.	.	PUNCT
ejpam-1675	77	1	these	these	PRON
ejpam-1675	77	2	are	be	AUX
ejpam-1675	77	3	:	:	PUNCT
ejpam-1675	77	4	•	•	ADV
ejpam-1675	77	5	fixed	fix	VERB
ejpam-1675	77	6	parametersthat	parametersthat	NOUN
ejpam-1675	77	7	have	have	AUX
ejpam-1675	77	8	been	be	AUX
ejpam-1675	77	9	assigned	assign	VERB
ejpam-1675	77	10	specific	specific	ADJ
ejpam-1675	77	11	values	value	NOUN
ejpam-1675	77	12	,	,	PUNCT
ejpam-1675	77	13	•	•	ADP
ejpam-1675	77	14	constrained	constrain	VERB
ejpam-1675	77	15	parametersthat	parametersthat	NOUN
ejpam-1675	77	16	are	be	AUX
ejpam-1675	77	17	unknown	unknown	ADJ
ejpam-1675	77	18	but	but	CCONJ
ejpam-1675	77	19	equal	equal	ADJ
ejpam-1675	77	20	to	to	ADP
ejpam-1675	77	21	one	one	NUM
ejpam-1675	77	22	or	or	CCONJ
ejpam-1675	77	23	more	more	ADJ
ejpam-1675	77	24	other	other	ADJ
ejpam-1675	77	25	parameters	parameter	NOUN
ejpam-1675	77	26	,	,	PUNCT
ejpam-1675	77	27	and	and	CCONJ
ejpam-1675	77	28	•	•	NUM
ejpam-1675	77	29	free	free	ADJ
ejpam-1675	77	30	parametersthat	parametersthat	NOUN
ejpam-1675	77	31	are	be	AUX
ejpam-1675	77	32	unknown	unknown	ADJ
ejpam-1675	77	33	and	and	CCONJ
ejpam-1675	77	34	not	not	PART
ejpam-1675	77	35	constrained	constrain	VERB
ejpam-1675	77	36	to	to	PART
ejpam-1675	77	37	be	be	AUX
ejpam-1675	77	38	equal	equal	ADJ
ejpam-1675	77	39	to	to	ADP
ejpam-1675	77	40	any	any	DET
ejpam-1675	77	41	other	other	ADJ
ejpam-1675	77	42	parameter	parameter	NOUN
ejpam-1675	77	43	.	.	PUNCT
ejpam-1675	78	1	for	for	ADP
ejpam-1675	78	2	more	more	ADJ
ejpam-1675	78	3	on	on	ADP
ejpam-1675	78	4	these	these	PRON
ejpam-1675	78	5	,	,	PUNCT
ejpam-1675	78	6	see	see	VERB
ejpam-1675	78	7	[	[	X
ejpam-1675	78	8	3	3	NUM
ejpam-1675	78	9	,	,	PUNCT
ejpam-1675	78	10	19	19	NUM
ejpam-1675	78	11	]	]	PUNCT
ejpam-1675	78	12	,	,	PUNCT
ejpam-1675	78	13	and	and	CCONJ
ejpam-1675	78	14	others	other	NOUN
ejpam-1675	78	15	.	.	PUNCT
ejpam-1675	79	1	the	the	DET
ejpam-1675	79	2	fundamental	fundamental	ADJ
ejpam-1675	79	3	hypothesis	hypothesis	NOUN
ejpam-1675	79	4	for	for	ADP
ejpam-1675	79	5	these	these	DET
ejpam-1675	79	6	structural	structural	ADJ
ejpam-1675	79	7	equations	equation	NOUN
ejpam-1675	79	8	procedures	procedure	NOUN
ejpam-1675	79	9	is	be	AUX
ejpam-1675	79	10	that	that	SCONJ
ejpam-1675	79	11	the	the	DET
ejpam-1675	79	12	covariance	covariance	NOUN
ejpam-1675	79	13	matrix	matrix	NOUN
ejpam-1675	79	14	of	of	ADP
ejpam-1675	79	15	the	the	DET
ejpam-1675	79	16	observed	observed	ADJ
ejpam-1675	79	17	variables	variable	NOUN
ejpam-1675	79	18	is	be	AUX
ejpam-1675	79	19	a	a	DET
ejpam-1675	79	20	function	function	NOUN
ejpam-1675	79	21	of	of	ADP
ejpam-1675	79	22	a	a	DET
ejpam-1675	79	23	set	set	NOUN
ejpam-1675	79	24	of	of	ADP
ejpam-1675	79	25	parameters	parameter	NOUN
ejpam-1675	79	26	.	.	PUNCT
ejpam-1675	80	1	if	if	SCONJ
ejpam-1675	80	2	the	the	DET
ejpam-1675	80	3	model	model	NOUN
ejpam-1675	80	4	is	be	AUX
ejpam-1675	80	5	correct	correct	ADJ
ejpam-1675	80	6	and	and	CCONJ
ejpam-1675	80	7	if	if	SCONJ
ejpam-1675	80	8	we	we	PRON
ejpam-1675	80	9	know	know	VERB
ejpam-1675	80	10	the	the	DET
ejpam-1675	80	11	parameters	parameter	NOUN
ejpam-1675	80	12	,	,	PUNCT
ejpam-1675	80	13	then	then	ADV
ejpam-1675	80	14	the	the	DET
ejpam-1675	80	15	population	population	NOUN
ejpam-1675	80	16	covariance	covariance	NOUN
ejpam-1675	80	17	matrix	matrix	NOUN
ejpam-1675	80	18	can	can	AUX
ejpam-1675	80	19	be	be	AUX
ejpam-1675	80	20	exactly	exactly	ADV
ejpam-1675	80	21	reproduced	reproduce	VERB
ejpam-1675	80	22	.	.	PUNCT
ejpam-1675	81	1	the	the	DET
ejpam-1675	81	2	hypothesis	hypothesis	NOUN
ejpam-1675	81	3	in	in	ADP
ejpam-1675	81	4	this	this	DET
ejpam-1675	81	5	case	case	NOUN
ejpam-1675	81	6	is	be	AUX
ejpam-1675	81	7	:	:	PUNCT
ejpam-1675	81	8	σ	σ	NOUN
ejpam-1675	81	9	=	=	SYM
ejpam-1675	81	10	σ(θ	σ(θ	PROPN
ejpam-1675	81	11	)	)	PUNCT
ejpam-1675	81	12	.	.	PUNCT
ejpam-1675	82	1	(	(	PUNCT
ejpam-1675	82	2	6	6	NUM
ejpam-1675	82	3	)	)	PUNCT
ejpam-1675	82	4	in	in	ADP
ejpam-1675	82	5	(	(	PUNCT
ejpam-1675	82	6	6	6	NUM
ejpam-1675	82	7	)	)	PUNCT
ejpam-1675	82	8	,	,	PUNCT
ejpam-1675	82	9	σ	σ	PROPN
ejpam-1675	82	10	is	be	AUX
ejpam-1675	82	11	the	the	DET
ejpam-1675	82	12	population	population	NOUN
ejpam-1675	82	13	covariance	covariance	NOUN
ejpam-1675	82	14	matrix	matrix	NOUN
ejpam-1675	82	15	of	of	ADP
ejpam-1675	82	16	the	the	DET
ejpam-1675	82	17	observed	observed	ADJ
ejpam-1675	82	18	variables	variable	NOUN
ejpam-1675	82	19	,	,	PUNCT
ejpam-1675	82	20	θ	θ	PROPN
ejpam-1675	82	21	is	be	AUX
ejpam-1675	82	22	a	a	DET
ejpam-1675	82	23	vector	vector	NOUN
ejpam-1675	82	24	containing	contain	VERB
ejpam-1675	82	25	the	the	DET
ejpam-1675	82	26	free	free	ADJ
ejpam-1675	82	27	parameters	parameter	NOUN
ejpam-1675	82	28	of	of	ADP
ejpam-1675	82	29	the	the	DET
ejpam-1675	82	30	model	model	NOUN
ejpam-1675	82	31	,	,	PUNCT
ejpam-1675	82	32	and	and	CCONJ
ejpam-1675	82	33	σ(θ	σ(θ	NUM
ejpam-1675	82	34	)	)	PUNCT
ejpam-1675	82	35	is	be	AUX
ejpam-1675	82	36	the	the	DET
ejpam-1675	82	37	covariance	covariance	NOUN
ejpam-1675	82	38	matrix	matrix	NOUN
ejpam-1675	82	39	written	write	VERB
ejpam-1675	82	40	as	as	ADP
ejpam-1675	82	41	a	a	DET
ejpam-1675	82	42	function	function	NOUN
ejpam-1675	82	43	of	of	ADP
ejpam-1675	82	44	the	the	DET
ejpam-1675	82	45	covariance	covariance	NOUN
ejpam-1675	82	46	matrix	matrix	NOUN
ejpam-1675	82	47	implied	imply	VERB
ejpam-1675	82	48	by	by	ADP
ejpam-1675	82	49	a	a	DET
ejpam-1675	82	50	specific	specific	ADJ
ejpam-1675	82	51	model	model	NOUN
ejpam-1675	82	52	[	[	X
ejpam-1675	82	53	3	3	NUM
ejpam-1675	82	54	]	]	PUNCT
ejpam-1675	82	55	.	.	PUNCT
ejpam-1675	83	1	3	3	X
ejpam-1675	83	2	.	.	X
ejpam-1675	83	3	information	information	NOUN
ejpam-1675	83	4	theoretic	theoretic	NOUN
ejpam-1675	83	5	model	model	NOUN
ejpam-1675	83	6	selection	selection	NOUN
ejpam-1675	83	7	criteria	criterion	NOUN
ejpam-1675	83	8	one	one	NUM
ejpam-1675	83	9	of	of	ADP
ejpam-1675	83	10	the	the	DET
ejpam-1675	83	11	fundamental	fundamental	ADJ
ejpam-1675	83	12	difficulties	difficulty	NOUN
ejpam-1675	83	13	in	in	ADP
ejpam-1675	83	14	statistical	statistical	ADJ
ejpam-1675	83	15	analysis	analysis	NOUN
ejpam-1675	83	16	and	and	CCONJ
ejpam-1675	83	17	data	datum	NOUN
ejpam-1675	83	18	mining	mining	NOUN
ejpam-1675	83	19	is	be	AUX
ejpam-1675	83	20	the	the	DET
ejpam-1675	83	21	choice	choice	NOUN
ejpam-1675	83	22	of	of	ADP
ejpam-1675	83	23	an	an	DET
ejpam-1675	83	24	appropriate	appropriate	ADJ
ejpam-1675	83	25	model	model	NOUN
ejpam-1675	83	26	,	,	PUNCT
ejpam-1675	83	27	estimating	estimate	VERB
ejpam-1675	83	28	and	and	CCONJ
ejpam-1675	83	29	determining	determine	VERB
ejpam-1675	83	30	the	the	DET
ejpam-1675	83	31	order	order	NOUN
ejpam-1675	83	32	or	or	CCONJ
ejpam-1675	83	33	dimension	dimension	NOUN
ejpam-1675	83	34	of	of	ADP
ejpam-1675	83	35	a	a	DET
ejpam-1675	83	36	model	model	NOUN
ejpam-1675	83	37	.	.	PUNCT
ejpam-1675	84	1	in	in	ADP
ejpam-1675	84	2	general	general	ADJ
ejpam-1675	84	3	statistical	statistical	ADJ
ejpam-1675	84	4	modeling	modeling	NOUN
ejpam-1675	84	5	and	and	CCONJ
ejpam-1675	84	6	model	model	NOUN
ejpam-1675	84	7	evaluation	evaluation	NOUN
ejpam-1675	84	8	problems	problem	NOUN
ejpam-1675	84	9	,	,	PUNCT
ejpam-1675	84	10	the	the	DET
ejpam-1675	84	11	concept	concept	NOUN
ejpam-1675	84	12	of	of	ADP
ejpam-1675	84	13	information	information	NOUN
ejpam-1675	84	14	theoretic	theoretic	NOUN
ejpam-1675	84	15	measure	measure	NOUN
ejpam-1675	84	16	of	of	ADP
ejpam-1675	84	17	complexity	complexity	NOUN
ejpam-1675	84	18	plays	play	VERB
ejpam-1675	84	19	an	an	DET
ejpam-1675	84	20	important	important	ADJ
ejpam-1675	84	21	role	role	NOUN
ejpam-1675	84	22	.	.	PUNCT
ejpam-1675	85	1	at	at	ADP
ejpam-1675	85	2	the	the	DET
ejpam-1675	85	3	philosophical	philosophical	ADJ
ejpam-1675	85	4	level	level	NOUN
ejpam-1675	85	5	,	,	PUNCT
ejpam-1675	85	6	complexity	complexity	NOUN
ejpam-1675	85	7	involves	involve	VERB
ejpam-1675	85	8	notions	notion	NOUN
ejpam-1675	85	9	such	such	ADJ
ejpam-1675	85	10	as	as	ADP
ejpam-1675	85	11	connectivity	connectivity	NOUN
ejpam-1675	85	12	patterns	pattern	NOUN
ejpam-1675	85	13	and	and	CCONJ
ejpam-1675	85	14	the	the	DET
ejpam-1675	85	15	interactions	interaction	NOUN
ejpam-1675	85	16	of	of	ADP
ejpam-1675	85	17	model	model	NOUN
ejpam-1675	85	18	components	component	NOUN
ejpam-1675	85	19	.	.	PUNCT
ejpam-1675	86	1	without	without	ADP
ejpam-1675	86	2	a	a	DET
ejpam-1675	86	3	measure	measure	NOUN
ejpam-1675	86	4	of	of	ADP
ejpam-1675	86	5	overall	overall	ADJ
ejpam-1675	86	6	model	model	NOUN
ejpam-1675	86	7	complexity	complexity	NOUN
ejpam-1675	86	8	,	,	PUNCT
ejpam-1675	86	9	prediction	prediction	NOUN
ejpam-1675	86	10	of	of	ADP
ejpam-1675	86	11	model	model	NOUN
ejpam-1675	86	12	behavior	behavior	NOUN
ejpam-1675	86	13	and	and	CCONJ
ejpam-1675	86	14	assessing	assess	VERB
ejpam-1675	86	15	model	model	NOUN
ejpam-1675	86	16	quality	quality	NOUN
ejpam-1675	86	17	is	be	AUX
ejpam-1675	86	18	difficult	difficult	ADJ
ejpam-1675	86	19	.	.	PUNCT
ejpam-1675	87	1	this	this	PRON
ejpam-1675	87	2	requires	require	VERB
ejpam-1675	87	3	detailed	detailed	ADJ
ejpam-1675	87	4	statistical	statistical	ADJ
ejpam-1675	87	5	analysis	analysis	NOUN
ejpam-1675	87	6	and	and	CCONJ
ejpam-1675	87	7	computation	computation	NOUN
ejpam-1675	87	8	to	to	PART
ejpam-1675	87	9	choose	choose	VERB
ejpam-1675	87	10	the	the	DET
ejpam-1675	87	11	best	good	ADJ
ejpam-1675	87	12	fitting	fitting	ADJ
ejpam-1675	87	13	model	model	NOUN
ejpam-1675	87	14	among	among	ADP
ejpam-1675	87	15	a	a	DET
ejpam-1675	87	16	portfolio	portfolio	NOUN
ejpam-1675	87	17	of	of	ADP
ejpam-1675	87	18	competing	compete	VERB
ejpam-1675	87	19	models	model	NOUN
ejpam-1675	87	20	for	for	ADP
ejpam-1675	87	21	a	a	DET
ejpam-1675	87	22	given	give	VERB
ejpam-1675	87	23	finite	finite	ADJ
ejpam-1675	87	24	sample	sample	NOUN
ejpam-1675	87	25	[	[	X
ejpam-1675	87	26	4	4	NUM
ejpam-1675	87	27	]	]	PUNCT
ejpam-1675	87	28	.	.	PUNCT
ejpam-1675	88	1	based	base	VERB
ejpam-1675	88	2	on	on	ADP
ejpam-1675	88	3	akaike	akaike	PROPN
ejpam-1675	88	4	’s	’s	ADV
ejpam-1675	88	5	aic	aic	PROPN
ejpam-1675	88	6	,	,	PUNCT
ejpam-1675	88	7	many	many	ADJ
ejpam-1675	88	8	model	model	ADJ
ejpam-1675	88	9	-	-	PUNCT
ejpam-1675	88	10	selection	selection	NOUN
ejpam-1675	88	11	procedures	procedure	NOUN
ejpam-1675	88	12	that	that	PRON
ejpam-1675	88	13	take	take	VERB
ejpam-1675	88	14	the	the	DET
ejpam-1675	88	15	form	form	NOUN
ejpam-1675	88	16	of	of	ADP
ejpam-1675	88	17	a	a	DET
ejpam-1675	88	18	penalized	penalize	VERB
ejpam-1675	88	19	likelihood	likelihood	NOUN
ejpam-1675	88	20	plus	plus	CCONJ
ejpam-1675	88	21	a	a	DET
ejpam-1675	88	22	penalty	penalty	NOUN
ejpam-1675	88	23	term	term	NOUN
ejpam-1675	88	24	)	)	PUNCT
ejpam-1675	88	25	have	have	AUX
ejpam-1675	88	26	been	be	AUX
ejpam-1675	88	27	proposed	propose	VERB
ejpam-1675	88	28	.	.	PUNCT
ejpam-1675	89	1	for	for	ADP
ejpam-1675	89	2	a	a	DET
ejpam-1675	89	3	general	general	ADJ
ejpam-1675	89	4	multivariate	multivariate	NOUN
ejpam-1675	89	5	linear	linear	ADJ
ejpam-1675	89	6	or	or	CCONJ
ejpam-1675	89	7	nonlinear	nonlinear	ADJ
ejpam-1675	89	8	model	model	NOUN
ejpam-1675	89	9	defined	define	VERB
ejpam-1675	89	10	by	by	ADP
ejpam-1675	89	11	statistical	statistical	ADJ
ejpam-1675	89	12	model	model	NOUN
ejpam-1675	89	13	=	=	NOUN
ejpam-1675	89	14	signal	signal	NOUN
ejpam-1675	89	15	+	+	CCONJ
ejpam-1675	89	16	n	n	X
ejpam-1675	89	17	oise	oise	NOUN
ejpam-1675	89	18	(	(	PUNCT
ejpam-1675	89	19	7	7	NUM
ejpam-1675	89	20	)	)	PUNCT
ejpam-1675	89	21	e.	e.	PROPN
ejpam-1675	89	22	howe	howe	PROPN
ejpam-1675	89	23	,	,	PUNCT
ejpam-1675	89	24	h.	h.	PROPN
ejpam-1675	89	25	bozdogan	bozdogan	PROPN
ejpam-1675	89	26	,	,	PUNCT
ejpam-1675	89	27	g.	g.	PROPN
ejpam-1675	89	28	kıroğlu	kıroğlu	PROPN
ejpam-1675	89	29	/	/	SYM
ejpam-1675	89	30	eur	eur	PROPN
ejpam-1675	89	31	.	.	PUNCT
ejpam-1675	90	1	j.	j.	PROPN
ejpam-1675	90	2	pure	pure	PROPN
ejpam-1675	90	3	appl	appl	PROPN
ejpam-1675	90	4	.	.	PROPN
ejpam-1675	90	5	math	math	PROPN
ejpam-1675	90	6	,	,	PUNCT
ejpam-1675	90	7	5	5	NUM
ejpam-1675	90	8	(	(	PUNCT
ejpam-1675	90	9	2012	2012	NUM
ejpam-1675	90	10	)	)	PUNCT
ejpam-1675	90	11	,	,	PUNCT
ejpam-1675	90	12	282	282	NUM
ejpam-1675	90	13	-	-	SYM
ejpam-1675	90	14	301	301	NUM
ejpam-1675	90	15	286	286	NUM
ejpam-1675	90	16	a	a	DET
ejpam-1675	90	17	summary	summary	NOUN
ejpam-1675	90	18	diagram	diagram	NOUN
ejpam-1675	90	19	for	for	ADP
ejpam-1675	90	20	aic	aic	PROPN
ejpam-1675	90	21	and	and	CCONJ
ejpam-1675	90	22	icomp	icomp	PROPN
ejpam-1675	90	23	in	in	ADP
ejpam-1675	90	24	terms	term	NOUN
ejpam-1675	90	25	of	of	ADP
ejpam-1675	90	26	a	a	DET
ejpam-1675	90	27	loss	loss	NOUN
ejpam-1675	90	28	function	function	NOUN
ejpam-1675	90	29	is	be	AUX
ejpam-1675	90	30	give	give	VERB
ejpam-1675	90	31	by	by	ADP
ejpam-1675	90	32	loss	loss	NOUN
ejpam-1675	90	33	=	=	NOUN
ejpam-1675	90	34	lack	lack	NOUN
ejpam-1675	90	35	of	of	ADP
ejpam-1675	90	36	fit	fit	ADJ
ejpam-1675	90	37	+	+	NOUN
ejpam-1675	90	38	lack	lack	NOUN
ejpam-1675	90	39	of	of	ADP
ejpam-1675	90	40	parsimony	parsimony	NOUN
ejpam-1675	90	41	«	«	PUNCT
ejpam-1675	90	42	−→	−→	ADJ
ejpam-1675	90	43	aic	aic	PROPN
ejpam-1675	90	44	+	+	PROPN
ejpam-1675	90	45	profusion	profusion	NOUN
ejpam-1675	90	46	of	of	ADP
ejpam-1675	90	47	complexity	complexity	NOUN
ejpam-1675	90	48			PROPN
ejpam-1675	90	49			DET
ejpam-1675	90	50			PROPN
ejpam-1675	90	51	−→	−→	NOUN
ejpam-1675	90	52	icom	icom	PROPN
ejpam-1675	90	53	p	p	PROPN
ejpam-1675	90	54	3.1	3.1	NUM
ejpam-1675	90	55	.	.	PUNCT
ejpam-1675	90	56	akaike	akaike	ADJ
ejpam-1675	90	57	-	-	PUNCT
ejpam-1675	90	58	type	type	NOUN
ejpam-1675	90	59	information	information	NOUN
ejpam-1675	90	60	criteria	criterion	NOUN
ejpam-1675	90	61	since	since	SCONJ
ejpam-1675	90	62	akaike	akaike	ADJ
ejpam-1675	90	63	(	(	PUNCT
ejpam-1675	90	64	1973	1973	NUM
ejpam-1675	90	65	)	)	PUNCT
ejpam-1675	90	66	,	,	PUNCT
ejpam-1675	90	67	entropic	entropic	ADJ
ejpam-1675	90	68	information	information	NOUN
ejpam-1675	90	69	criteria	criterion	NOUN
ejpam-1675	90	70	has	have	AUX
ejpam-1675	90	71	had	have	VERB
ejpam-1675	90	72	a	a	DET
ejpam-1675	90	73	substantial	substantial	ADJ
ejpam-1675	90	74	impact	impact	NOUN
ejpam-1675	90	75	in	in	ADP
ejpam-1675	90	76	statistical	statistical	ADJ
ejpam-1675	90	77	model	model	NOUN
ejpam-1675	90	78	evaluation	evaluation	NOUN
ejpam-1675	90	79	problems	problem	NOUN
ejpam-1675	90	80	.	.	PUNCT
ejpam-1675	91	1	its	its	PRON
ejpam-1675	91	2	introduction	introduction	NOUN
ejpam-1675	91	3	furthered	further	VERB
ejpam-1675	91	4	the	the	DET
ejpam-1675	91	5	recognition	recognition	NOUN
ejpam-1675	91	6	of	of	ADP
ejpam-1675	91	7	the	the	DET
ejpam-1675	91	8	importance	importance	NOUN
ejpam-1675	91	9	of	of	ADP
ejpam-1675	91	10	good	good	ADJ
ejpam-1675	91	11	modeling	modeling	NOUN
ejpam-1675	91	12	and	and	CCONJ
ejpam-1675	91	13	model	model	NOUN
ejpam-1675	91	14	fitting	fit	VERB
ejpam-1675	91	15	in	in	ADP
ejpam-1675	91	16	the	the	DET
ejpam-1675	91	17	statistical	statistical	ADJ
ejpam-1675	91	18	science	science	NOUN
ejpam-1675	91	19	.	.	PUNCT
ejpam-1675	92	1	as	as	ADP
ejpam-1675	92	2	a	a	DET
ejpam-1675	92	3	result	result	NOUN
ejpam-1675	92	4	,	,	PUNCT
ejpam-1675	92	5	many	many	ADJ
ejpam-1675	92	6	important	important	ADJ
ejpam-1675	92	7	statistical	statistical	ADJ
ejpam-1675	92	8	modeling	modeling	NOUN
ejpam-1675	92	9	techniques	technique	NOUN
ejpam-1675	92	10	have	have	AUX
ejpam-1675	92	11	been	be	AUX
ejpam-1675	92	12	developed	develop	VERB
ejpam-1675	92	13	in	in	ADP
ejpam-1675	92	14	various	various	ADJ
ejpam-1675	92	15	fields	field	NOUN
ejpam-1675	92	16	of	of	ADP
ejpam-1675	92	17	statistics	statistic	NOUN
ejpam-1675	92	18	such	such	ADJ
ejpam-1675	92	19	as	as	ADP
ejpam-1675	92	20	in	in	ADP
ejpam-1675	92	21	biostatistics	biostatistic	NOUN
ejpam-1675	92	22	,	,	PUNCT
ejpam-1675	92	23	control	control	NOUN
ejpam-1675	92	24	theory	theory	NOUN
ejpam-1675	92	25	,	,	PUNCT
ejpam-1675	92	26	econometrics	econometrics	NOUN
ejpam-1675	92	27	,	,	PUNCT
ejpam-1675	92	28	engineering	engineering	NOUN
ejpam-1675	92	29	,	,	PUNCT
ejpam-1675	92	30	medical	medical	ADJ
ejpam-1675	92	31	data	datum	NOUN
ejpam-1675	92	32	mining	mining	NOUN
ejpam-1675	92	33	,	,	PUNCT
ejpam-1675	92	34	psychometrics	psychometric	NOUN
ejpam-1675	92	35	,	,	PUNCT
ejpam-1675	92	36	and	and	CCONJ
ejpam-1675	92	37	many	many	ADJ
ejpam-1675	92	38	others	other	NOUN
ejpam-1675	92	39	.	.	PUNCT
ejpam-1675	93	1	akaike	akaike	ADJ
ejpam-1675	93	2	information	information	NOUN
ejpam-1675	93	3	criterion	criterion	NOUN
ejpam-1675	93	4	(	(	PUNCT
ejpam-1675	93	5	aic	aic	PROPN
ejpam-1675	93	6	)	)	PUNCT
ejpam-1675	93	7	aic	aic	PROPN
ejpam-1675	93	8	,	,	PUNCT
ejpam-1675	93	9	which	which	PRON
ejpam-1675	93	10	is	be	AUX
ejpam-1675	93	11	one	one	NUM
ejpam-1675	93	12	of	of	ADP
ejpam-1675	93	13	the	the	DET
ejpam-1675	93	14	first	first	ADJ
ejpam-1675	93	15	information	information	NOUN
ejpam-1675	93	16	criterion	criterion	NOUN
ejpam-1675	93	17	developed	develop	VERB
ejpam-1675	93	18	by	by	ADP
ejpam-1675	93	19	akaike	akaike	ADJ
ejpam-1675	93	20	,	,	PUNCT
ejpam-1675	93	21	can	can	AUX
ejpam-1675	93	22	be	be	AUX
ejpam-1675	93	23	thought	think	VERB
ejpam-1675	93	24	of	of	ADP
ejpam-1675	93	25	as	as	ADP
ejpam-1675	93	26	a	a	DET
ejpam-1675	93	27	generalized	generalized	ADJ
ejpam-1675	93	28	form	form	NOUN
ejpam-1675	93	29	of	of	ADP
ejpam-1675	93	30	the	the	DET
ejpam-1675	93	31	maximum	maximum	ADJ
ejpam-1675	93	32	likelihood	likelihood	NOUN
ejpam-1675	93	33	.	.	PUNCT
ejpam-1675	94	1	aic	aic	PROPN
ejpam-1675	94	2	can	can	AUX
ejpam-1675	94	3	be	be	AUX
ejpam-1675	94	4	formulated	formulate	VERB
ejpam-1675	94	5	as	as	ADP
ejpam-1675	94	6	maximizing	maximize	VERB
ejpam-1675	94	7	generalized	generalize	VERB
ejpam-1675	94	8	entropy	entropy	NOUN
ejpam-1675	94	9	,	,	PUNCT
ejpam-1675	94	10	or	or	CCONJ
ejpam-1675	94	11	equivalently	equivalently	ADV
ejpam-1675	94	12	minimizing	minimize	VERB
ejpam-1675	94	13	kullback	kullback	NOUN
ejpam-1675	94	14	-	-	PUNCT
ejpam-1675	94	15	leibler	leibler	NOUN
ejpam-1675	94	16	(	(	PUNCT
ejpam-1675	94	17	kl	kl	NOUN
ejpam-1675	94	18	)	)	PUNCT
ejpam-1675	94	19	information	information	NOUN
ejpam-1675	94	20	.	.	PUNCT
ejpam-1675	95	1	see	see	VERB
ejpam-1675	95	2	,	,	PUNCT
ejpam-1675	95	3	e.g.	e.g.	ADV
ejpam-1675	95	4	[	[	X
ejpam-1675	95	5	21	21	NUM
ejpam-1675	95	6	]	]	PUNCT
ejpam-1675	95	7	,	,	PUNCT
ejpam-1675	95	8	and	and	CCONJ
ejpam-1675	95	9	[	[	X
ejpam-1675	95	10	20	20	NUM
ejpam-1675	95	11	]	]	PUNCT
ejpam-1675	95	12	.	.	PUNCT
ejpam-1675	96	1	it	it	PRON
ejpam-1675	96	2	is	be	AUX
ejpam-1675	96	3	obtained	obtain	VERB
ejpam-1675	96	4	from	from	ADP
ejpam-1675	96	5	asymptotic	asymptotic	ADJ
ejpam-1675	96	6	unbiased	unbiased	ADJ
ejpam-1675	96	7	estimation	estimation	NOUN
ejpam-1675	96	8	of	of	ADP
ejpam-1675	96	9	the	the	DET
ejpam-1675	96	10	logarithm	logarithm	NOUN
ejpam-1675	96	11	of	of	ADP
ejpam-1675	96	12	the	the	DET
ejpam-1675	96	13	average	average	ADJ
ejpam-1675	96	14	expected	expect	VERB
ejpam-1675	96	15	likelihood	likelihood	NOUN
ejpam-1675	96	16	of	of	ADP
ejpam-1675	96	17	a	a	DET
ejpam-1675	96	18	model	model	NOUN
ejpam-1675	96	19	and	and	CCONJ
ejpam-1675	96	20	it	it	PRON
ejpam-1675	96	21	is	be	AUX
ejpam-1675	96	22	defined	define	VERB
ejpam-1675	96	23	by	by	ADP
ejpam-1675	96	24	aic	aic	PROPN
ejpam-1675	96	25	=	=	PROPN
ejpam-1675	96	26	−2	−2	PROPN
ejpam-1675	96	27	log	log	NOUN
ejpam-1675	96	28	l(bθk	l(bθk	PROPN
ejpam-1675	96	29	)	)	PUNCT
ejpam-1675	97	1	+	+	CCONJ
ejpam-1675	97	2	2k	2k	NUM
ejpam-1675	97	3	,	,	PUNCT
ejpam-1675	97	4	(	(	PUNCT
ejpam-1675	97	5	8)	8)	NUM
ejpam-1675	97	6	where	where	SCONJ
ejpam-1675	97	7	θ	θ	PROPN
ejpam-1675	97	8	is	be	AUX
ejpam-1675	97	9	a	a	DET
ejpam-1675	97	10	k	k	ADJ
ejpam-1675	97	11	-	-	ADJ
ejpam-1675	97	12	dimensional	dimensional	ADJ
ejpam-1675	97	13	unknown	unknown	ADJ
ejpam-1675	97	14	parameter	parameter	NOUN
ejpam-1675	97	15	vector	vector	NOUN
ejpam-1675	97	16	,	,	PUNCT
ejpam-1675	97	17	bθ	bθ	PROPN
ejpam-1675	97	18	,	,	PUNCT
ejpam-1675	97	19	denotes	denote	VERB
ejpam-1675	97	20	the	the	DET
ejpam-1675	97	21	maximum	maximum	ADJ
ejpam-1675	97	22	likelihood	likelihood	NOUN
ejpam-1675	97	23	estimator	estimator	NOUN
ejpam-1675	97	24	of	of	ADP
ejpam-1675	97	25	θ	θ	PROPN
ejpam-1675	97	26	,	,	PUNCT
ejpam-1675	97	27	l(bθ	l(bθ	PROPN
ejpam-1675	97	28	)	)	PUNCT
ejpam-1675	97	29	,	,	PUNCT
ejpam-1675	98	1	is	be	AUX
ejpam-1675	98	2	the	the	DET
ejpam-1675	98	3	maximized	maximized	ADJ
ejpam-1675	98	4	likelihood	likelihood	NOUN
ejpam-1675	98	5	function	function	NOUN
ejpam-1675	98	6	of	of	ADP
ejpam-1675	98	7	the	the	DET
ejpam-1675	98	8	model	model	NOUN
ejpam-1675	98	9	,	,	PUNCT
ejpam-1675	98	10	and	and	CCONJ
ejpam-1675	98	11	k	k	PROPN
ejpam-1675	98	12	is	be	AUX
ejpam-1675	98	13	the	the	DET
ejpam-1675	98	14	number	number	NOUN
ejpam-1675	98	15	of	of	ADP
ejpam-1675	98	16	unknown	unknown	ADJ
ejpam-1675	98	17	parameters	parameter	NOUN
ejpam-1675	98	18	estimated	estimate	VERB
ejpam-1675	98	19	in	in	ADP
ejpam-1675	98	20	the	the	DET
ejpam-1675	98	21	model	model	NOUN
ejpam-1675	98	22	.	.	PUNCT
ejpam-1675	99	1	consistent	consistent	ADJ
ejpam-1675	99	2	akaike	akaike	ADJ
ejpam-1675	99	3	information	information	NOUN
ejpam-1675	99	4	criterion	criterion	NOUN
ejpam-1675	99	5	(	(	PUNCT
ejpam-1675	99	6	caic	caic	PROPN
ejpam-1675	99	7	)	)	PUNCT
ejpam-1675	99	8	without	without	ADP
ejpam-1675	99	9	violating	violate	VERB
ejpam-1675	99	10	akaike	akaike	ADJ
ejpam-1675	99	11	’s	’s	PART
ejpam-1675	99	12	principles	principle	NOUN
ejpam-1675	99	13	and	and	CCONJ
ejpam-1675	99	14	using	use	VERB
ejpam-1675	99	15	the	the	DET
ejpam-1675	99	16	results	result	NOUN
ejpam-1675	99	17	in	in	ADP
ejpam-1675	99	18	mathematical	mathematical	ADJ
ejpam-1675	99	19	statistics	statistic	NOUN
ejpam-1675	99	20	,	,	PUNCT
ejpam-1675	99	21	bozdogan	bozdogan	VERB
ejpam-1675	100	1	[	[	X
ejpam-1675	100	2	4	4	X
ejpam-1675	100	3	]	]	PUNCT
ejpam-1675	100	4	extended	extend	VERB
ejpam-1675	100	5	aic	aic	PROPN
ejpam-1675	100	6	analytically	analytically	ADV
ejpam-1675	100	7	in	in	ADP
ejpam-1675	100	8	two	two	NUM
ejpam-1675	100	9	ways	way	NOUN
ejpam-1675	100	10	.	.	PUNCT
ejpam-1675	101	1	these	these	DET
ejpam-1675	101	2	extensions	extension	NOUN
ejpam-1675	101	3	make	make	VERB
ejpam-1675	101	4	aic	aic	PROPN
ejpam-1675	101	5	asymptotically	asymptotically	ADV
ejpam-1675	101	6	consistent	consistent	ADJ
ejpam-1675	101	7	,	,	PUNCT
ejpam-1675	101	8	and	and	CCONJ
ejpam-1675	101	9	penalize	penalize	VERB
ejpam-1675	101	10	overparameterization	overparameterization	NOUN
ejpam-1675	101	11	more	more	ADV
ejpam-1675	101	12	stringently	stringently	ADV
ejpam-1675	101	13	,	,	PUNCT
ejpam-1675	101	14	so	so	SCONJ
ejpam-1675	101	15	as	as	SCONJ
ejpam-1675	101	16	to	to	PART
ejpam-1675	101	17	pick	pick	VERB
ejpam-1675	101	18	the	the	DET
ejpam-1675	101	19	simplest	simplest	NOUN
ejpam-1675	101	20	of	of	ADP
ejpam-1675	101	21	the	the	DET
ejpam-1675	101	22	true	true	ADJ
ejpam-1675	101	23	models	model	NOUN
ejpam-1675	101	24	whenever	whenever	SCONJ
ejpam-1675	101	25	there	there	PRON
ejpam-1675	101	26	is	be	VERB
ejpam-1675	101	27	nothing	nothing	PRON
ejpam-1675	101	28	to	to	PART
ejpam-1675	101	29	be	be	AUX
ejpam-1675	101	30	lost	lose	VERB
ejpam-1675	101	31	in	in	ADP
ejpam-1675	101	32	doing	do	VERB
ejpam-1675	101	33	so	so	ADV
ejpam-1675	101	34	.	.	PUNCT
ejpam-1675	102	1	caic	caic	PROPN
ejpam-1675	102	2	is	be	AUX
ejpam-1675	102	3	defined	define	VERB
ejpam-1675	102	4	by	by	ADP
ejpam-1675	102	5	caic	caic	PROPN
ejpam-1675	102	6	=	=	SYM
ejpam-1675	102	7	−2	−2	PROPN
ejpam-1675	102	8	log	log	NOUN
ejpam-1675	102	9	l(bθk	l(bθk	PROPN
ejpam-1675	102	10	)	)	PUNCT
ejpam-1675	103	1	+	+	NUM
ejpam-1675	103	2	k(log(n	k(log(n	NOUN
ejpam-1675	103	3	)	)	PUNCT
ejpam-1675	104	1	+	+	NOUN
ejpam-1675	104	2	1	1	NUM
ejpam-1675	104	3	)	)	PUNCT
ejpam-1675	104	4	.	.	PUNCT
ejpam-1675	105	1	(	(	PUNCT
ejpam-1675	105	2	9	9	X
ejpam-1675	105	3	)	)	PUNCT
ejpam-1675	105	4	using	use	VERB
ejpam-1675	105	5	a	a	DET
ejpam-1675	105	6	correction	correction	NOUN
ejpam-1675	105	7	factor	factor	NOUN
ejpam-1675	105	8	based	base	VERB
ejpam-1675	105	9	on	on	ADP
ejpam-1675	105	10	the	the	DET
ejpam-1675	105	11	sample	sample	NOUN
ejpam-1675	105	12	size	size	NOUN
ejpam-1675	105	13	(	(	PUNCT
ejpam-1675	105	14	n	n	CCONJ
ejpam-1675	105	15	)	)	PUNCT
ejpam-1675	105	16	caic	caic	PROPN
ejpam-1675	105	17	is	be	AUX
ejpam-1675	105	18	an	an	DET
ejpam-1675	105	19	attempt	attempt	NOUN
ejpam-1675	105	20	to	to	PART
ejpam-1675	105	21	overcome	overcome	VERB
ejpam-1675	105	22	the	the	DET
ejpam-1675	105	23	tendency	tendency	NOUN
ejpam-1675	105	24	of	of	ADP
ejpam-1675	105	25	the	the	DET
ejpam-1675	105	26	aic	aic	PROPN
ejpam-1675	105	27	in	in	ADP
ejpam-1675	105	28	overestimating	overestimate	VERB
ejpam-1675	105	29	the	the	DET
ejpam-1675	105	30	complexity	complexity	NOUN
ejpam-1675	105	31	(	(	PUNCT
ejpam-1675	105	32	i.e.	i.e.	X
ejpam-1675	105	33	,	,	PUNCT
ejpam-1675	105	34	number	number	NOUN
ejpam-1675	105	35	of	of	ADP
ejpam-1675	105	36	parameters	parameter	NOUN
ejpam-1675	105	37	)	)	PUNCT
ejpam-1675	105	38	of	of	ADP
ejpam-1675	105	39	the	the	DET
ejpam-1675	105	40	underlying	underlie	VERB
ejpam-1675	105	41	model	model	NOUN
ejpam-1675	105	42	[	[	X
ejpam-1675	105	43	17	17	NUM
ejpam-1675	105	44	]	]	PUNCT
ejpam-1675	105	45	.	.	PUNCT
ejpam-1675	106	1	e.	e.	PROPN
ejpam-1675	106	2	howe	howe	PROPN
ejpam-1675	106	3	,	,	PUNCT
ejpam-1675	106	4	h.	h.	PROPN
ejpam-1675	106	5	bozdogan	bozdogan	PROPN
ejpam-1675	106	6	,	,	PUNCT
ejpam-1675	106	7	g.	g.	PROPN
ejpam-1675	106	8	kıroğlu	kıroğlu	PROPN
ejpam-1675	106	9	/	/	SYM
ejpam-1675	106	10	eur	eur	PROPN
ejpam-1675	106	11	.	.	PUNCT
ejpam-1675	107	1	j.	j.	PROPN
ejpam-1675	107	2	pure	pure	PROPN
ejpam-1675	107	3	appl	appl	PROPN
ejpam-1675	107	4	.	.	PROPN
ejpam-1675	107	5	math	math	PROPN
ejpam-1675	107	6	,	,	PUNCT
ejpam-1675	107	7	5	5	NUM
ejpam-1675	107	8	(	(	PUNCT
ejpam-1675	107	9	2012	2012	NUM
ejpam-1675	107	10	)	)	PUNCT
ejpam-1675	107	11	,	,	PUNCT
ejpam-1675	107	12	282	282	NUM
ejpam-1675	107	13	-	-	SYM
ejpam-1675	107	14	301	301	NUM
ejpam-1675	107	15	287	287	NUM
ejpam-1675	107	16	consistent	consistent	ADJ
ejpam-1675	107	17	akaike	akaike	ADJ
ejpam-1675	107	18	information	information	NOUN
ejpam-1675	107	19	criterion	criterion	NOUN
ejpam-1675	107	20	with	with	ADP
ejpam-1675	107	21	fisher	fisher	PROPN
ejpam-1675	107	22	information	information	NOUN
ejpam-1675	107	23	(	(	PUNCT
ejpam-1675	107	24	caicf	caicf	NOUN
ejpam-1675	107	25	)	)	PUNCT
ejpam-1675	107	26	also	also	ADV
ejpam-1675	107	27	in	in	ADP
ejpam-1675	107	28	[	[	X
ejpam-1675	107	29	4	4	NUM
ejpam-1675	107	30	]	]	PUNCT
ejpam-1675	107	31	,	,	PUNCT
ejpam-1675	107	32	a	a	DET
ejpam-1675	107	33	different	different	ADJ
ejpam-1675	107	34	estimator	estimator	NOUN
ejpam-1675	107	35	for	for	ADP
ejpam-1675	107	36	negative	negative	ADJ
ejpam-1675	107	37	twice	twice	DET
ejpam-1675	107	38	the	the	DET
ejpam-1675	107	39	expected	expect	VERB
ejpam-1675	107	40	entropy	entropy	NOUN
ejpam-1675	107	41	was	be	AUX
ejpam-1675	107	42	proposed	propose	VERB
ejpam-1675	107	43	.	.	PUNCT
ejpam-1675	108	1	similar	similar	ADJ
ejpam-1675	108	2	to	to	ADP
ejpam-1675	108	3	caic	caic	PROPN
ejpam-1675	108	4	,	,	PUNCT
ejpam-1675	108	5	this	this	DET
ejpam-1675	108	6	approach	approach	NOUN
ejpam-1675	108	7	extends	extend	VERB
ejpam-1675	108	8	aic	aic	PROPN
ejpam-1675	108	9	analytically	analytically	ADV
ejpam-1675	108	10	to	to	PART
ejpam-1675	108	11	make	make	VERB
ejpam-1675	108	12	it	it	PRON
ejpam-1675	108	13	consistent	consistent	ADJ
ejpam-1675	108	14	without	without	ADP
ejpam-1675	108	15	deviating	deviate	VERB
ejpam-1675	108	16	from	from	ADP
ejpam-1675	108	17	akaike	akaike	ADJ
ejpam-1675	108	18	’s	’s	PART
ejpam-1675	108	19	original	original	ADJ
ejpam-1675	108	20	premise	premise	NOUN
ejpam-1675	108	21	.	.	PUNCT
ejpam-1675	109	1	in	in	ADP
ejpam-1675	109	2	this	this	DET
ejpam-1675	109	3	manner	manner	NOUN
ejpam-1675	109	4	[	[	X
ejpam-1675	109	5	4	4	NUM
ejpam-1675	109	6	]	]	ADJ
ejpam-1675	109	7	penalizes	penalize	NOUN
ejpam-1675	109	8	overparameterization	overparameterization	NOUN
ejpam-1675	109	9	more	more	ADV
ejpam-1675	109	10	strongly	strongly	ADV
ejpam-1675	109	11	,	,	PUNCT
ejpam-1675	109	12	in	in	ADP
ejpam-1675	109	13	particular	particular	ADJ
ejpam-1675	109	14	,	,	PUNCT
ejpam-1675	109	15	in	in	ADP
ejpam-1675	109	16	large	large	ADJ
ejpam-1675	109	17	samples	sample	NOUN
ejpam-1675	109	18	.	.	PUNCT
ejpam-1675	110	1	caic	caic	PROPN
ejpam-1675	110	2	f	f	PROPN
ejpam-1675	110	3	is	be	AUX
ejpam-1675	110	4	defined	define	VERB
ejpam-1675	110	5	by	by	ADP
ejpam-1675	110	6	caic	caic	PROPN
ejpam-1675	110	7	f	f	PROPN
ejpam-1675	111	1	=	=	PUNCT
ejpam-1675	111	2	−2	−2	PROPN
ejpam-1675	111	3	log	log	NOUN
ejpam-1675	111	4	l(bθ	l(bθ	NUM
ejpam-1675	111	5	)	)	PUNCT
ejpam-1675	112	1	+	+	CCONJ
ejpam-1675	112	2	k(log(n)+	k(log(n)+	PROPN
ejpam-1675	112	3	2)+	2)+	NUM
ejpam-1675	112	4	log	log	NOUN
ejpam-1675	112	5	|f̂	|f̂	ADV
ejpam-1675	112	6	|	|	ADV
ejpam-1675	112	7	,	,	PUNCT
ejpam-1675	112	8	(	(	PUNCT
ejpam-1675	112	9	10	10	NUM
ejpam-1675	112	10	)	)	PUNCT
ejpam-1675	112	11	where	where	SCONJ
ejpam-1675	112	12	f̂	f̂	PROPN
ejpam-1675	112	13	is	be	AUX
ejpam-1675	112	14	the	the	DET
ejpam-1675	112	15	estimated	estimate	VERB
ejpam-1675	112	16	fisher	fisher	PROPN
ejpam-1675	112	17	information	information	NOUN
ejpam-1675	112	18	matrix	matrix	NOUN
ejpam-1675	112	19	(	(	PUNCT
ejpam-1675	112	20	fim	fim	NOUN
ejpam-1675	112	21	)	)	PUNCT
ejpam-1675	112	22	of	of	ADP
ejpam-1675	112	23	the	the	DET
ejpam-1675	112	24	model	model	NOUN
ejpam-1675	112	25	.	.	PUNCT
ejpam-1675	113	1	bayesian	bayesian	NOUN
ejpam-1675	113	2	model	model	NOUN
ejpam-1675	113	3	selection	selection	NOUN
ejpam-1675	113	4	criterion	criterion	NOUN
ejpam-1675	113	5	(	(	PUNCT
ejpam-1675	113	6	bms	bms	NOUN
ejpam-1675	113	7	)	)	PUNCT
ejpam-1675	113	8	bozdogan	bozdogan	NOUN
ejpam-1675	113	9	and	and	CCONJ
ejpam-1675	113	10	ueno	ueno	PROPN
ejpam-1675	114	1	[	[	X
ejpam-1675	114	2	10	10	NUM
ejpam-1675	114	3	]	]	PUNCT
ejpam-1675	114	4	provided	provide	VERB
ejpam-1675	114	5	yet	yet	ADV
ejpam-1675	114	6	a	a	DET
ejpam-1675	114	7	further	further	ADJ
ejpam-1675	114	8	extension	extension	NOUN
ejpam-1675	114	9	of	of	ADP
ejpam-1675	114	10	aic	aic	PROPN
ejpam-1675	114	11	called	call	VERB
ejpam-1675	114	12	bayesian	bayesian	NOUN
ejpam-1675	114	13	model	model	NOUN
ejpam-1675	114	14	selection	selection	NOUN
ejpam-1675	114	15	criterion	criterion	NOUN
ejpam-1675	114	16	(	(	PUNCT
ejpam-1675	114	17	bms	bms	NOUN
ejpam-1675	114	18	)	)	PUNCT
ejpam-1675	114	19	,	,	PUNCT
ejpam-1675	114	20	given	give	VERB
ejpam-1675	114	21	by	by	ADP
ejpam-1675	114	22	bms	bms	NOUN
ejpam-1675	114	23	=	=	SYM
ejpam-1675	114	24	−2	−2	PROPN
ejpam-1675	114	25	log	log	NOUN
ejpam-1675	114	26	l(bθ	l(bθ	NUM
ejpam-1675	114	27	)	)	PUNCT
ejpam-1675	115	1	+	+	CCONJ
ejpam-1675	115	2	k	k	PROPN
ejpam-1675	115	3	log(n)+	log(n)+	PROPN
ejpam-1675	115	4	2	2	NUM
ejpam-1675	115	5	(	(	PUNCT
ejpam-1675	115	6	nk	nk	PROPN
ejpam-1675	115	7	n−	n−	PROPN
ejpam-1675	115	8	k−	k−	PROPN
ejpam-1675	115	9	2	2	NUM
ejpam-1675	115	10	)	)	PUNCT
ejpam-1675	116	1	+	+	CCONJ
ejpam-1675	116	2	log	log	VERB
ejpam-1675	116	3	|f̂	|f̂	ADV
ejpam-1675	116	4	|	|	ADV
ejpam-1675	116	5	.	.	PUNCT
ejpam-1675	117	1	(	(	PUNCT
ejpam-1675	117	2	11	11	NUM
ejpam-1675	117	3	)	)	PUNCT
ejpam-1675	117	4	as	as	SCONJ
ejpam-1675	117	5	we	we	PRON
ejpam-1675	117	6	note	note	VERB
ejpam-1675	117	7	,	,	PUNCT
ejpam-1675	117	8	these	these	DET
ejpam-1675	117	9	extended	extended	ADJ
ejpam-1675	117	10	forms	form	NOUN
ejpam-1675	117	11	aic	aic	PROPN
ejpam-1675	117	12	all	all	PRON
ejpam-1675	117	13	attempt	attempt	VERB
ejpam-1675	117	14	to	to	PART
ejpam-1675	117	15	repair	repair	VERB
ejpam-1675	117	16	the	the	DET
ejpam-1675	117	17	inconsistency	inconsistency	NOUN
ejpam-1675	117	18	problem	problem	NOUN
ejpam-1675	117	19	of	of	ADP
ejpam-1675	117	20	the	the	DET
ejpam-1675	117	21	aic	aic	PROPN
ejpam-1675	117	22	.	.	PUNCT
ejpam-1675	118	1	3.2	3.2	NUM
ejpam-1675	118	2	.	.	PUNCT
ejpam-1675	119	1	the	the	DET
ejpam-1675	119	2	general	general	ADJ
ejpam-1675	119	3	form	form	NOUN
ejpam-1675	119	4	of	of	ADP
ejpam-1675	119	5	information	information	NOUN
ejpam-1675	119	6	complexity	complexity	NOUN
ejpam-1675	119	7	:	:	PUNCT
ejpam-1675	119	8	icomp	icomp	PROPN
ejpam-1675	119	9	motivated	motivate	VERB
ejpam-1675	119	10	from	from	ADP
ejpam-1675	119	11	considerations	consideration	NOUN
ejpam-1675	119	12	similar	similar	ADJ
ejpam-1675	119	13	to	to	ADP
ejpam-1675	119	14	those	those	PRON
ejpam-1675	119	15	in	in	ADP
ejpam-1675	119	16	aic	aic	PROPN
ejpam-1675	119	17	,	,	PUNCT
ejpam-1675	119	18	here	here	ADV
ejpam-1675	119	19	we	we	PRON
ejpam-1675	119	20	give	give	VERB
ejpam-1675	119	21	details	detail	NOUN
ejpam-1675	119	22	a	a	DET
ejpam-1675	119	23	new	new	ADJ
ejpam-1675	119	24	entropic	entropic	NOUN
ejpam-1675	119	25	or	or	CCONJ
ejpam-1675	119	26	information	information	NOUN
ejpam-1675	119	27	-	-	PUNCT
ejpam-1675	119	28	theoretic	theoretic	NOUN
ejpam-1675	119	29	measure	measure	NOUN
ejpam-1675	119	30	of	of	ADP
ejpam-1675	119	31	complexity	complexity	NOUN
ejpam-1675	119	32	called	call	VERB
ejpam-1675	119	33	icom	icom	PROPN
ejpam-1675	119	34	p	p	PROPN
ejpam-1675	119	35	of	of	ADP
ejpam-1675	119	36	[	[	X
ejpam-1675	119	37	6	6	NUM
ejpam-1675	119	38	,	,	PUNCT
ejpam-1675	119	39	7	7	NUM
ejpam-1675	119	40	,	,	PUNCT
ejpam-1675	119	41	9	9	NUM
ejpam-1675	119	42	]	]	PUNCT
ejpam-1675	119	43	as	as	ADP
ejpam-1675	119	44	a	a	DET
ejpam-1675	119	45	decision	decision	NOUN
ejpam-1675	119	46	rule	rule	NOUN
ejpam-1675	119	47	for	for	ADP
ejpam-1675	119	48	model	model	NOUN
ejpam-1675	119	49	selection	selection	NOUN
ejpam-1675	119	50	in	in	ADP
ejpam-1675	119	51	sem	sem	PROPN
ejpam-1675	119	52	.	.	PUNCT
ejpam-1675	120	1	the	the	DET
ejpam-1675	120	2	development	development	NOUN
ejpam-1675	120	3	and	and	CCONJ
ejpam-1675	120	4	construction	construction	NOUN
ejpam-1675	120	5	of	of	ADP
ejpam-1675	120	6	icom	icom	PROPN
ejpam-1675	120	7	p	p	PROPN
ejpam-1675	120	8	is	be	AUX
ejpam-1675	120	9	based	base	VERB
ejpam-1675	120	10	on	on	ADP
ejpam-1675	120	11	a	a	DET
ejpam-1675	120	12	generalization	generalization	NOUN
ejpam-1675	120	13	of	of	ADP
ejpam-1675	120	14	the	the	DET
ejpam-1675	120	15	covariance	covariance	NOUN
ejpam-1675	120	16	complexity	complexity	NOUN
ejpam-1675	120	17	index	index	NOUN
ejpam-1675	120	18	originally	originally	ADV
ejpam-1675	120	19	introduced	introduce	VERB
ejpam-1675	120	20	in	in	ADP
ejpam-1675	120	21	[	[	X
ejpam-1675	120	22	29	29	NUM
ejpam-1675	120	23	]	]	PUNCT
ejpam-1675	120	24	.	.	PUNCT
ejpam-1675	121	1	instead	instead	ADV
ejpam-1675	121	2	of	of	ADP
ejpam-1675	121	3	penalizing	penalize	VERB
ejpam-1675	121	4	the	the	DET
ejpam-1675	121	5	number	number	NOUN
ejpam-1675	121	6	of	of	ADP
ejpam-1675	121	7	free	free	ADJ
ejpam-1675	121	8	parameters	parameter	NOUN
ejpam-1675	121	9	directly	directly	ADV
ejpam-1675	121	10	,	,	PUNCT
ejpam-1675	121	11	icom	icom	PROPN
ejpam-1675	121	12	p	p	PROPN
ejpam-1675	121	13	penalizes	penalize	VERB
ejpam-1675	121	14	the	the	DET
ejpam-1675	121	15	covariance	covariance	NOUN
ejpam-1675	121	16	complexity	complexity	NOUN
ejpam-1675	121	17	of	of	ADP
ejpam-1675	121	18	the	the	DET
ejpam-1675	121	19	model	model	NOUN
ejpam-1675	121	20	.	.	PUNCT
ejpam-1675	122	1	it	it	PRON
ejpam-1675	122	2	is	be	AUX
ejpam-1675	122	3	defined	define	VERB
ejpam-1675	122	4	by	by	ADP
ejpam-1675	122	5	icom	icom	PROPN
ejpam-1675	122	6	p	p	PROPN
ejpam-1675	122	7	=	=	NOUN
ejpam-1675	122	8	−2	−2	PROPN
ejpam-1675	122	9	log	log	NOUN
ejpam-1675	122	10	l(θ̂k	l(θ̂k	PROPN
ejpam-1675	122	11	)	)	PUNCT
ejpam-1675	123	1	+	+	NUM
ejpam-1675	123	2	2c(ôcov(θ̂k	2c(ôcov(θ̂k	NUM
ejpam-1675	123	3	)	)	PUNCT
ejpam-1675	123	4	)	)	PUNCT
ejpam-1675	123	5	,	,	PUNCT
ejpam-1675	123	6	(	(	PUNCT
ejpam-1675	123	7	12	12	NUM
ejpam-1675	123	8	)	)	PUNCT
ejpam-1675	123	9	where	where	SCONJ
ejpam-1675	123	10	l(θ̂k	l(θ̂k	NOUN
ejpam-1675	123	11	)	)	PUNCT
ejpam-1675	123	12	is	be	AUX
ejpam-1675	123	13	the	the	DET
ejpam-1675	123	14	maximized	maximized	ADJ
ejpam-1675	123	15	likelihood	likelihood	NOUN
ejpam-1675	123	16	function	function	NOUN
ejpam-1675	123	17	,	,	PUNCT
ejpam-1675	123	18	θ̂k	θ̂k	NOUN
ejpam-1675	123	19	is	be	AUX
ejpam-1675	123	20	the	the	DET
ejpam-1675	123	21	maximum	maximum	ADJ
ejpam-1675	123	22	likelihood	likelihood	NOUN
ejpam-1675	123	23	estimate	estimate	NOUN
ejpam-1675	123	24	of	of	ADP
ejpam-1675	123	25	the	the	DET
ejpam-1675	123	26	parameter	parameter	NOUN
ejpam-1675	123	27	vector	vector	NOUN
ejpam-1675	123	28	θk	θk	NOUN
ejpam-1675	123	29	under	under	ADP
ejpam-1675	123	30	the	the	DET
ejpam-1675	123	31	model	model	NOUN
ejpam-1675	123	32	mk	mk	PROPN
ejpam-1675	123	33	with	with	ADP
ejpam-1675	123	34	k	k	PROPN
ejpam-1675	123	35	unknown	unknown	ADJ
ejpam-1675	123	36	parameter	parameter	NOUN
ejpam-1675	123	37	,	,	PUNCT
ejpam-1675	123	38	and	and	CCONJ
ejpam-1675	123	39	c	c	PROPN
ejpam-1675	123	40	represents	represent	VERB
ejpam-1675	123	41	a	a	DET
ejpam-1675	123	42	real	real	ADV
ejpam-1675	123	43	-	-	PUNCT
ejpam-1675	123	44	valued	value	VERB
ejpam-1675	123	45	complexity	complexity	NOUN
ejpam-1675	123	46	measure	measure	NOUN
ejpam-1675	123	47	.	.	PUNCT
ejpam-1675	124	1	as	as	SCONJ
ejpam-1675	124	2	explained	explain	VERB
ejpam-1675	124	3	in	in	ADP
ejpam-1675	124	4	[	[	X
ejpam-1675	124	5	7	7	NUM
ejpam-1675	124	6	,	,	PUNCT
ejpam-1675	124	7	8	8	NUM
ejpam-1675	124	8	,	,	PUNCT
ejpam-1675	124	9	9	9	NUM
ejpam-1675	124	10	]	]	PUNCT
ejpam-1675	124	11	,	,	PUNCT
ejpam-1675	124	12	there	there	PRON
ejpam-1675	124	13	are	be	VERB
ejpam-1675	124	14	several	several	ADJ
ejpam-1675	124	15	forms	form	NOUN
ejpam-1675	124	16	and	and	CCONJ
ejpam-1675	124	17	theoretical	theoretical	ADJ
ejpam-1675	124	18	justifications	justification	NOUN
ejpam-1675	124	19	of	of	ADP
ejpam-1675	124	20	icom	icom	PROPN
ejpam-1675	124	21	p.	p.	PROPN
ejpam-1675	124	22	for	for	ADP
ejpam-1675	124	23	brevity	brevity	NOUN
ejpam-1675	124	24	,	,	PUNCT
ejpam-1675	124	25	here	here	ADV
ejpam-1675	124	26	,	,	PUNCT
ejpam-1675	124	27	we	we	PRON
ejpam-1675	124	28	will	will	AUX
ejpam-1675	124	29	recapitulate	recapitulate	VERB
ejpam-1675	124	30	and	and	CCONJ
ejpam-1675	124	31	use	use	VERB
ejpam-1675	124	32	one	one	NUM
ejpam-1675	124	33	of	of	ADP
ejpam-1675	124	34	the	the	DET
ejpam-1675	124	35	most	most	ADV
ejpam-1675	124	36	general	general	ADJ
ejpam-1675	124	37	forms	form	NOUN
ejpam-1675	124	38	of	of	ADP
ejpam-1675	124	39	icom	icom	PROPN
ejpam-1675	124	40	p	p	PROPN
ejpam-1675	124	41	referred	refer	VERB
ejpam-1675	124	42	to	to	ADP
ejpam-1675	124	43	as	as	ADP
ejpam-1675	124	44	icom	icom	PROPN
ejpam-1675	125	1	p(i	p(i	PROPN
ejpam-1675	125	2	f	f	PROPN
ejpam-1675	125	3	i	i	PRON
ejpam-1675	125	4	m	m	PROPN
ejpam-1675	125	5	)	)	PUNCT
ejpam-1675	125	6	.	.	PUNCT
ejpam-1675	126	1	icom	icom	PROPN
ejpam-1675	127	1	p(i	p(i	PROPN
ejpam-1675	127	2	f	f	PROPN
ejpam-1675	127	3	i	i	PRON
ejpam-1675	127	4	m	m	PROPN
ejpam-1675	127	5	)	)	PUNCT
ejpam-1675	127	6	exploits	exploit	VERB
ejpam-1675	127	7	the	the	DET
ejpam-1675	127	8	well	well	ADV
ejpam-1675	127	9	-	-	PUNCT
ejpam-1675	127	10	known	know	VERB
ejpam-1675	127	11	asymptotic	asymptotic	ADJ
ejpam-1675	127	12	optimality	optimality	NOUN
ejpam-1675	127	13	properties	property	NOUN
ejpam-1675	127	14	of	of	ADP
ejpam-1675	127	15	the	the	DET
ejpam-1675	127	16	maximum	maximum	ADJ
ejpam-1675	127	17	likelihood	likelihood	NOUN
ejpam-1675	127	18	estimators	estimator	NOUN
ejpam-1675	127	19	(	(	PUNCT
ejpam-1675	127	20	mles	mle	NOUN
ejpam-1675	127	21	)	)	PUNCT
ejpam-1675	127	22	,	,	PUNCT
ejpam-1675	127	23	and	and	CCONJ
ejpam-1675	127	24	uses	use	VERB
ejpam-1675	127	25	the	the	DET
ejpam-1675	127	26	information	information	NOUN
ejpam-1675	127	27	-	-	PUNCT
ejpam-1675	127	28	based	base	VERB
ejpam-1675	127	29	complexity	complexity	NOUN
ejpam-1675	127	30	of	of	ADP
ejpam-1675	127	31	the	the	DET
ejpam-1675	127	32	estimated	estimate	VERB
ejpam-1675	127	33	inverse	inverse	NOUN
ejpam-1675	127	34	-	-	PUNCT
ejpam-1675	127	35	fisher	fisher	PROPN
ejpam-1675	127	36	information	information	NOUN
ejpam-1675	127	37	matrix	matrix	NOUN
ejpam-1675	127	38	(	(	PUNCT
ejpam-1675	127	39	i	i	PRON
ejpam-1675	128	1	f	f	VERB
ejpam-1675	129	1	i	i	PRON
ejpam-1675	129	2	m	m	VERB
ejpam-1675	129	3	or	or	CCONJ
ejpam-1675	129	4	f̂−1	f̂−1	PROPN
ejpam-1675	129	5	)	)	PUNCT
ejpam-1675	129	6	of	of	ADP
ejpam-1675	129	7	a	a	DET
ejpam-1675	129	8	model	model	NOUN
ejpam-1675	129	9	.	.	PUNCT
ejpam-1675	130	1	this	this	PRON
ejpam-1675	130	2	is	be	AUX
ejpam-1675	130	3	known	know	VERB
ejpam-1675	130	4	as	as	ADP
ejpam-1675	130	5	the	the	DET
ejpam-1675	130	6	cramér	cramér	ADJ
ejpam-1675	130	7	-	-	PUNCT
ejpam-1675	130	8	rao	rao	NOUN
ejpam-1675	130	9	lower	lower	ADV
ejpam-1675	130	10	bound	bind	VERB
ejpam-1675	130	11	(	(	PUNCT
ejpam-1675	130	12	crlb	crlb	NOUN
ejpam-1675	130	13	)	)	PUNCT
ejpam-1675	130	14	matrix	matrix	NOUN
ejpam-1675	130	15	.	.	PUNCT
ejpam-1675	131	1	see	see	VERB
ejpam-1675	131	2	,	,	PUNCT
ejpam-1675	131	3	e.g.	e.g.	ADV
ejpam-1675	131	4	,	,	PUNCT
ejpam-1675	131	5	[	[	X
ejpam-1675	131	6	12	12	NUM
ejpam-1675	131	7	]	]	PUNCT
ejpam-1675	131	8	and	and	CCONJ
ejpam-1675	131	9	[	[	X
ejpam-1675	131	10	23	23	NUM
ejpam-1675	131	11	,	,	PUNCT
ejpam-1675	131	12	24	24	NUM
ejpam-1675	131	13	,	,	PUNCT
ejpam-1675	131	14	25	25	NUM
ejpam-1675	131	15	]	]	PUNCT
ejpam-1675	131	16	.	.	PUNCT
ejpam-1675	132	1	as	as	ADP
ejpam-1675	132	2	such	such	ADJ
ejpam-1675	132	3	,	,	PUNCT
ejpam-1675	132	4	icom	icom	PROPN
ejpam-1675	132	5	p(i	p(i	PROPN
ejpam-1675	132	6	f	f	PROPN
ejpam-1675	132	7	i	i	PRON
ejpam-1675	132	8	m	m	VERB
ejpam-1675	132	9	)	)	PUNCT
ejpam-1675	132	10	is	be	AUX
ejpam-1675	132	11	an	an	DET
ejpam-1675	132	12	approximation	approximation	NOUN
ejpam-1675	132	13	to	to	ADP
ejpam-1675	132	14	the	the	DET
ejpam-1675	132	15	sum	sum	NOUN
ejpam-1675	132	16	of	of	ADP
ejpam-1675	132	17	two	two	NUM
ejpam-1675	132	18	kl	kl	NOUN
ejpam-1675	132	19	distances	distance	NOUN
ejpam-1675	132	20	.	.	PUNCT
ejpam-1675	133	1	this	this	DET
ejpam-1675	133	2	approach	approach	NOUN
ejpam-1675	133	3	provides	provide	VERB
ejpam-1675	133	4	us	we	PRON
ejpam-1675	133	5	an	an	DET
ejpam-1675	133	6	achievable	achievable	ADJ
ejpam-1675	133	7	accuracy	accuracy	NOUN
ejpam-1675	133	8	of	of	ADP
ejpam-1675	133	9	the	the	DET
ejpam-1675	133	10	parameter	parameter	NOUN
ejpam-1675	133	11	estimates	estimate	NOUN
ejpam-1675	133	12	of	of	ADP
ejpam-1675	133	13	the	the	DET
ejpam-1675	133	14	model	model	NOUN
ejpam-1675	133	15	by	by	ADP
ejpam-1675	133	16	considering	consider	VERB
ejpam-1675	133	17	the	the	DET
ejpam-1675	133	18	entire	entire	ADJ
ejpam-1675	133	19	parameter	parameter	NOUN
ejpam-1675	133	20	space	space	NOUN
ejpam-1675	133	21	.	.	PUNCT
ejpam-1675	134	1	e.	e.	PROPN
ejpam-1675	134	2	howe	howe	PROPN
ejpam-1675	134	3	,	,	PUNCT
ejpam-1675	134	4	h.	h.	PROPN
ejpam-1675	134	5	bozdogan	bozdogan	PROPN
ejpam-1675	134	6	,	,	PUNCT
ejpam-1675	134	7	g.	g.	PROPN
ejpam-1675	134	8	kıroğlu	kıroğlu	PROPN
ejpam-1675	134	9	/	/	SYM
ejpam-1675	134	10	eur	eur	PROPN
ejpam-1675	134	11	.	.	PUNCT
ejpam-1675	135	1	j.	j.	PROPN
ejpam-1675	135	2	pure	pure	PROPN
ejpam-1675	135	3	appl	appl	PROPN
ejpam-1675	135	4	.	.	PROPN
ejpam-1675	135	5	math	math	PROPN
ejpam-1675	135	6	,	,	PUNCT
ejpam-1675	135	7	5	5	NUM
ejpam-1675	135	8	(	(	PUNCT
ejpam-1675	135	9	2012	2012	NUM
ejpam-1675	135	10	)	)	PUNCT
ejpam-1675	135	11	,	,	PUNCT
ejpam-1675	135	12	282	282	NUM
ejpam-1675	135	13	-	-	SYM
ejpam-1675	135	14	301	301	NUM
ejpam-1675	135	15	288	288	NUM
ejpam-1675	135	16	for	for	ADP
ejpam-1675	135	17	a	a	DET
ejpam-1675	135	18	multivariate	multivariate	NOUN
ejpam-1675	135	19	normal	normal	ADJ
ejpam-1675	135	20	linear	linear	NOUN
ejpam-1675	135	21	or	or	CCONJ
ejpam-1675	135	22	nonlinear	nonlinear	ADJ
ejpam-1675	135	23	structural	structural	ADJ
ejpam-1675	135	24	model	model	NOUN
ejpam-1675	135	25	we	we	PRON
ejpam-1675	135	26	define	define	VERB
ejpam-1675	135	27	the	the	DET
ejpam-1675	135	28	general	general	ADJ
ejpam-1675	135	29	form	form	NOUN
ejpam-1675	135	30	of	of	ADP
ejpam-1675	135	31	icom	icom	PROPN
ejpam-1675	135	32	p(i	p(i	PROPN
ejpam-1675	135	33	f	f	PROPN
ejpam-1675	136	1	i	i	PRON
ejpam-1675	136	2	m	m	VERB
ejpam-1675	136	3	)	)	PUNCT
ejpam-1675	137	1	as	as	ADP
ejpam-1675	137	2	icom	icom	PROPN
ejpam-1675	137	3	p(f̂−1	p(f̂−1	PROPN
ejpam-1675	137	4	)	)	PUNCT
ejpam-1675	138	1	=	=	SYM
ejpam-1675	138	2	−2	−2	NOUN
ejpam-1675	138	3	log	log	NOUN
ejpam-1675	138	4	l(θ̂k	l(θ̂k	PROPN
ejpam-1675	138	5	)	)	PUNCT
ejpam-1675	139	1	+	+	CCONJ
ejpam-1675	139	2	2c1(f̂	2c1(f̂	NUM
ejpam-1675	139	3	−1	−1	NOUN
ejpam-1675	139	4	)	)	PUNCT
ejpam-1675	139	5	,	,	PUNCT
ejpam-1675	139	6	(	(	PUNCT
ejpam-1675	139	7	13	13	NUM
ejpam-1675	139	8	)	)	PUNCT
ejpam-1675	139	9	where	where	SCONJ
ejpam-1675	139	10	c1	c1	PROPN
ejpam-1675	139	11	denotes	denote	VERB
ejpam-1675	139	12	the	the	DET
ejpam-1675	139	13	maximal	maximal	ADJ
ejpam-1675	139	14	informational	informational	ADJ
ejpam-1675	139	15	complexity	complexity	NOUN
ejpam-1675	139	16	of	of	ADP
ejpam-1675	139	17	f̂−1	f̂−1	PROPN
ejpam-1675	139	18	and	and	CCONJ
ejpam-1675	139	19	is	be	AUX
ejpam-1675	139	20	given	give	VERB
ejpam-1675	139	21	by	by	ADP
ejpam-1675	139	22	c1(f̂	c1(f̂	PROPN
ejpam-1675	139	23	−1	−1	NOUN
ejpam-1675	139	24	)	)	PUNCT
ejpam-1675	139	25	=	=	SYM
ejpam-1675	139	26	s	s	PART
ejpam-1675	139	27	2	2	NUM
ejpam-1675	139	28	log	log	NOUN
ejpam-1675	139	29	[	[	PUNCT
ejpam-1675	139	30	t	t	PROPN
ejpam-1675	139	31	r(f̂−1	r(f̂−1	PROPN
ejpam-1675	139	32	)	)	PUNCT
ejpam-1675	139	33	s	s	PART
ejpam-1675	139	34	]	]	PUNCT
ejpam-1675	139	35	−	−	PROPN
ejpam-1675	139	36	1	1	NUM
ejpam-1675	139	37	2	2	NUM
ejpam-1675	139	38	log	log	NOUN
ejpam-1675	139	39	|f̂−1|	|f̂−1|	NOUN
ejpam-1675	139	40	,	,	PUNCT
ejpam-1675	139	41	(	(	PUNCT
ejpam-1675	139	42	14	14	NUM
ejpam-1675	139	43	)	)	PUNCT
ejpam-1675	139	44	and	and	CCONJ
ejpam-1675	139	45	where	where	SCONJ
ejpam-1675	139	46	s	s	VERB
ejpam-1675	139	47	=	=	SYM
ejpam-1675	139	48	dim(f̂−1	dim(f̂−1	NUM
ejpam-1675	139	49	)	)	PUNCT
ejpam-1675	139	50	=	=	NOUN
ejpam-1675	139	51	rank(f̂−1	rank(f̂−1	NOUN
ejpam-1675	139	52	)	)	PUNCT
ejpam-1675	139	53	.	.	PUNCT
ejpam-1675	140	1	the	the	DET
ejpam-1675	140	2	first	first	ADJ
ejpam-1675	140	3	component	component	NOUN
ejpam-1675	140	4	of	of	ADP
ejpam-1675	140	5	icom	icom	PROPN
ejpam-1675	140	6	p(i	p(i	PROPN
ejpam-1675	140	7	f	f	PROPN
ejpam-1675	140	8	i	i	PROPN
ejpam-1675	140	9	m	m	PROPN
ejpam-1675	140	10	)	)	PUNCT
ejpam-1675	140	11	measures	measure	VERB
ejpam-1675	140	12	the	the	DET
ejpam-1675	140	13	lack	lack	NOUN
ejpam-1675	140	14	of	of	ADP
ejpam-1675	140	15	fit	fit	NOUN
ejpam-1675	140	16	of	of	ADP
ejpam-1675	140	17	the	the	DET
ejpam-1675	140	18	model	model	NOUN
ejpam-1675	140	19	,	,	PUNCT
ejpam-1675	140	20	and	and	CCONJ
ejpam-1675	140	21	the	the	DET
ejpam-1675	140	22	second	second	ADJ
ejpam-1675	140	23	component	component	NOUN
ejpam-1675	140	24	measures	measure	VERB
ejpam-1675	140	25	the	the	DET
ejpam-1675	140	26	complexity	complexity	NOUN
ejpam-1675	140	27	of	of	ADP
ejpam-1675	140	28	the	the	DET
ejpam-1675	140	29	accuracy	accuracy	NOUN
ejpam-1675	140	30	of	of	ADP
ejpam-1675	140	31	the	the	DET
ejpam-1675	140	32	estimated	estimate	VERB
ejpam-1675	140	33	parameters	parameter	NOUN
ejpam-1675	140	34	and	and	CCONJ
ejpam-1675	140	35	implicitly	implicitly	ADV
ejpam-1675	140	36	adjusts	adjust	VERB
ejpam-1675	140	37	for	for	ADP
ejpam-1675	140	38	the	the	DET
ejpam-1675	140	39	number	number	NOUN
ejpam-1675	140	40	of	of	ADP
ejpam-1675	140	41	free	free	ADJ
ejpam-1675	140	42	parameters	parameter	NOUN
ejpam-1675	140	43	included	include	VERB
ejpam-1675	140	44	in	in	ADP
ejpam-1675	140	45	the	the	DET
ejpam-1675	140	46	model	model	NOUN
ejpam-1675	140	47	.	.	PUNCT
ejpam-1675	141	1	it	it	PRON
ejpam-1675	141	2	is	be	AUX
ejpam-1675	141	3	a	a	DET
ejpam-1675	141	4	measure	measure	NOUN
ejpam-1675	141	5	of	of	ADP
ejpam-1675	141	6	the	the	DET
ejpam-1675	141	7	state	state	NOUN
ejpam-1675	141	8	of	of	ADP
ejpam-1675	141	9	disorder	disorder	NOUN
ejpam-1675	141	10	of	of	ADP
ejpam-1675	141	11	a	a	DET
ejpam-1675	141	12	model	model	NOUN
ejpam-1675	141	13	for	for	ADP
ejpam-1675	141	14	a	a	DET
ejpam-1675	141	15	given	give	VERB
ejpam-1675	141	16	data	datum	NOUN
ejpam-1675	141	17	set	set	VERB
ejpam-1675	141	18	.	.	PUNCT
ejpam-1675	142	1	for	for	ADP
ejpam-1675	142	2	more	more	ADJ
ejpam-1675	142	3	on	on	ADP
ejpam-1675	142	4	this	this	PRON
ejpam-1675	142	5	,	,	PUNCT
ejpam-1675	142	6	and	and	CCONJ
ejpam-1675	142	7	for	for	ADP
ejpam-1675	142	8	some	some	DET
ejpam-1675	142	9	immediate	immediate	ADJ
ejpam-1675	142	10	physical	physical	ADJ
ejpam-1675	142	11	motivation	motivation	NOUN
ejpam-1675	142	12	,	,	PUNCT
ejpam-1675	142	13	we	we	PRON
ejpam-1675	142	14	refer	refer	VERB
ejpam-1675	142	15	the	the	DET
ejpam-1675	142	16	readers	reader	NOUN
ejpam-1675	142	17	to	to	ADP
ejpam-1675	142	18	the	the	DET
ejpam-1675	142	19	interesting	interesting	ADJ
ejpam-1675	142	20	book	book	NOUN
ejpam-1675	142	21	by	by	ADP
ejpam-1675	142	22	[	[	X
ejpam-1675	142	23	16	16	NUM
ejpam-1675	142	24	]	]	PUNCT
ejpam-1675	142	25	,	,	PUNCT
ejpam-1675	142	26	entitled	entitle	VERB
ejpam-1675	142	27	“	"	PUNCT
ejpam-1675	142	28	physics	physics	NOUN
ejpam-1675	142	29	from	from	ADP
ejpam-1675	142	30	fisher	fisher	PROPN
ejpam-1675	142	31	information	information	NOUN
ejpam-1675	142	32	.	.	PUNCT
ejpam-1675	142	33	”	"	PUNCT
ejpam-1675	143	1	the	the	DET
ejpam-1675	143	2	trace	trace	NOUN
ejpam-1675	143	3	of	of	ADP
ejpam-1675	143	4	i	i	PRON
ejpam-1675	143	5	f	f	PROPN
ejpam-1675	143	6	i	i	PRON
ejpam-1675	143	7	m	m	VERB
ejpam-1675	143	8	in	in	ADP
ejpam-1675	143	9	the	the	DET
ejpam-1675	143	10	complexity	complexity	NOUN
ejpam-1675	143	11	measure	measure	NOUN
ejpam-1675	143	12	involves	involve	VERB
ejpam-1675	143	13	only	only	ADV
ejpam-1675	143	14	the	the	DET
ejpam-1675	143	15	diagonal	diagonal	ADJ
ejpam-1675	143	16	elements	element	NOUN
ejpam-1675	143	17	analogous	analogous	ADJ
ejpam-1675	143	18	to	to	ADP
ejpam-1675	143	19	variances	variance	NOUN
ejpam-1675	143	20	while	while	SCONJ
ejpam-1675	143	21	the	the	DET
ejpam-1675	143	22	determinant	determinant	ADJ
ejpam-1675	143	23	involves	involve	VERB
ejpam-1675	143	24	also	also	ADV
ejpam-1675	143	25	the	the	DET
ejpam-1675	143	26	off	off	ADJ
ejpam-1675	143	27	-	-	PUNCT
ejpam-1675	143	28	diagonal	diagonal	ADJ
ejpam-1675	143	29	elements	element	NOUN
ejpam-1675	143	30	analogous	analogous	ADJ
ejpam-1675	143	31	to	to	ADP
ejpam-1675	143	32	covariances	covariance	NOUN
ejpam-1675	143	33	.	.	PUNCT
ejpam-1675	144	1	therefore	therefore	ADV
ejpam-1675	144	2	,	,	PUNCT
ejpam-1675	144	3	icom	icom	PROPN
ejpam-1675	144	4	p(i	p(i	PROPN
ejpam-1675	144	5	f	f	PROPN
ejpam-1675	144	6	i	i	PRON
ejpam-1675	144	7	m	m	PROPN
ejpam-1675	144	8	)	)	PUNCT
ejpam-1675	144	9	contrasts	contrast	VERB
ejpam-1675	144	10	the	the	DET
ejpam-1675	144	11	trace	trace	NOUN
ejpam-1675	144	12	and	and	CCONJ
ejpam-1675	144	13	the	the	DET
ejpam-1675	144	14	determinant	determinant	NOUN
ejpam-1675	144	15	of	of	ADP
ejpam-1675	144	16	i	i	PRON
ejpam-1675	144	17	f	f	PROPN
ejpam-1675	145	1	i	i	PRON
ejpam-1675	145	2	m	m	VERB
ejpam-1675	145	3	,	,	PUNCT
ejpam-1675	145	4	and	and	CCONJ
ejpam-1675	145	5	this	this	PRON
ejpam-1675	145	6	amounts	amount	VERB
ejpam-1675	145	7	to	to	ADP
ejpam-1675	145	8	a	a	DET
ejpam-1675	145	9	comparison	comparison	NOUN
ejpam-1675	145	10	of	of	ADP
ejpam-1675	145	11	the	the	DET
ejpam-1675	145	12	geometric	geometric	ADJ
ejpam-1675	145	13	and	and	CCONJ
ejpam-1675	145	14	arithmetic	arithmetic	ADJ
ejpam-1675	145	15	means	mean	NOUN
ejpam-1675	145	16	of	of	ADP
ejpam-1675	145	17	the	the	DET
ejpam-1675	145	18	eigenvalues	eigenvalue	NOUN
ejpam-1675	145	19	of	of	ADP
ejpam-1675	145	20	i	i	PRON
ejpam-1675	146	1	f	f	PROPN
ejpam-1675	147	1	i	i	PRON
ejpam-1675	147	2	m	m	AUX
ejpam-1675	147	3	given	give	VERB
ejpam-1675	147	4	by	by	ADP
ejpam-1675	147	5	icom	icom	PROPN
ejpam-1675	147	6	p(f̂−1	p(f̂−1	PROPN
ejpam-1675	147	7	)	)	PUNCT
ejpam-1675	147	8	=	=	SYM
ejpam-1675	147	9	−2	−2	NOUN
ejpam-1675	147	10	log	log	NOUN
ejpam-1675	147	11	l(θ̂k	l(θ̂k	PROPN
ejpam-1675	147	12	)	)	PUNCT
ejpam-1675	148	1	+	+	NUM
ejpam-1675	148	2	s	s	X
ejpam-1675	148	3	log	log	NOUN
ejpam-1675	148	4	�	�	PROPN
ejpam-1675	148	5	λa	λa	PROPN
ejpam-1675	148	6	/	/	SYM
ejpam-1675	148	7	λg	λg	PROPN
ejpam-1675	148	8	�	�	PROPN
ejpam-1675	148	9	.	.	PUNCT
ejpam-1675	149	1	(	(	PUNCT
ejpam-1675	149	2	15	15	X
ejpam-1675	149	3	)	)	PUNCT
ejpam-1675	149	4	we	we	PRON
ejpam-1675	149	5	note	note	VERB
ejpam-1675	149	6	that	that	SCONJ
ejpam-1675	149	7	icom	icom	PROPN
ejpam-1675	149	8	p(i	p(i	PROPN
ejpam-1675	149	9	f	f	PROPN
ejpam-1675	149	10	i	i	PRON
ejpam-1675	149	11	m	m	VERB
ejpam-1675	149	12	)	)	PUNCT
ejpam-1675	149	13	now	now	ADV
ejpam-1675	149	14	looks	look	VERB
ejpam-1675	149	15	in	in	ADP
ejpam-1675	149	16	appearance	appearance	NOUN
ejpam-1675	149	17	like	like	ADP
ejpam-1675	149	18	the	the	DET
ejpam-1675	149	19	caic	caic	PROPN
ejpam-1675	149	20	,	,	PUNCT
ejpam-1675	149	21	m	m	VERB
ejpam-1675	149	22	dl	dl	X
ejpam-1675	150	1	[	[	X
ejpam-1675	150	2	26	26	NUM
ejpam-1675	150	3	]	]	PUNCT
ejpam-1675	150	4	,	,	PUNCT
ejpam-1675	150	5	and	and	CCONJ
ejpam-1675	150	6	the	the	DET
ejpam-1675	150	7	bayesian	bayesian	NOUN
ejpam-1675	150	8	criterion	criterion	NOUN
ejpam-1675	150	9	sbc	sbc	NOUN
ejpam-1675	150	10	[	[	X
ejpam-1675	150	11	28	28	NUM
ejpam-1675	150	12	]	]	PUNCT
ejpam-1675	150	13	,	,	PUNCT
ejpam-1675	150	14	except	except	SCONJ
ejpam-1675	150	15	for	for	ADP
ejpam-1675	150	16	using	use	VERB
ejpam-1675	150	17	log	log	PROPN
ejpam-1675	150	18	�	�	PROPN
ejpam-1675	150	19	λa	λa	PROPN
ejpam-1675	150	20	/	/	SYM
ejpam-1675	150	21	λg	λg	PROPN
ejpam-1675	150	22	�	�	PROPN
ejpam-1675	150	23	instead	instead	ADV
ejpam-1675	150	24	of	of	ADP
ejpam-1675	150	25	using	use	VERB
ejpam-1675	150	26	log(n	log(n	NOUN
ejpam-1675	150	27	)	)	PUNCT
ejpam-1675	150	28	,	,	PUNCT
ejpam-1675	150	29	where	where	SCONJ
ejpam-1675	150	30	log(n	log(n	NOUN
ejpam-1675	150	31	)	)	PUNCT
ejpam-1675	150	32	denotes	denote	VERB
ejpam-1675	150	33	the	the	DET
ejpam-1675	150	34	natural	natural	ADJ
ejpam-1675	150	35	logarithm	logarithm	NOUN
ejpam-1675	150	36	of	of	ADP
ejpam-1675	150	37	the	the	DET
ejpam-1675	150	38	sample	sample	NOUN
ejpam-1675	150	39	size	size	NOUN
ejpam-1675	150	40	n.	n.	NOUN
ejpam-1675	150	41	in	in	ADP
ejpam-1675	150	42	this	this	DET
ejpam-1675	150	43	sense	sense	NOUN
ejpam-1675	150	44	,	,	PUNCT
ejpam-1675	150	45	icom	icom	PROPN
ejpam-1675	150	46	p(i	p(i	PROPN
ejpam-1675	150	47	f	f	PROPN
ejpam-1675	150	48	i	i	PRON
ejpam-1675	150	49	m	m	PROPN
ejpam-1675	150	50	)	)	PUNCT
ejpam-1675	150	51	resembles	resemble	VERB
ejpam-1675	150	52	a	a	DET
ejpam-1675	150	53	penalized	penalize	VERB
ejpam-1675	150	54	likelihood	likelihood	NOUN
ejpam-1675	150	55	method	method	NOUN
ejpam-1675	150	56	similar	similar	ADJ
ejpam-1675	150	57	to	to	ADP
ejpam-1675	150	58	aic	aic	PROPN
ejpam-1675	150	59	and	and	CCONJ
ejpam-1675	150	60	aic	aic	PROPN
ejpam-1675	150	61	-	-	PUNCT
ejpam-1675	150	62	type	type	NOUN
ejpam-1675	150	63	criteria	criterion	NOUN
ejpam-1675	150	64	,	,	PUNCT
ejpam-1675	150	65	except	except	SCONJ
ejpam-1675	150	66	that	that	SCONJ
ejpam-1675	150	67	the	the	DET
ejpam-1675	150	68	penalty	penalty	NOUN
ejpam-1675	150	69	depends	depend	VERB
ejpam-1675	150	70	on	on	ADP
ejpam-1675	150	71	the	the	DET
ejpam-1675	150	72	curvature	curvature	NOUN
ejpam-1675	150	73	of	of	ADP
ejpam-1675	150	74	the	the	DET
ejpam-1675	150	75	log	log	NOUN
ejpam-1675	150	76	likelihood	likelihood	NOUN
ejpam-1675	150	77	function	function	NOUN
ejpam-1675	150	78	via	via	ADP
ejpam-1675	150	79	the	the	DET
ejpam-1675	150	80	scalar	scalar	ADJ
ejpam-1675	150	81	c1	c1	PROPN
ejpam-1675	150	82	complexity	complexity	NOUN
ejpam-1675	150	83	value	value	NOUN
ejpam-1675	150	84	of	of	ADP
ejpam-1675	150	85	the	the	DET
ejpam-1675	150	86	estimated	estimate	VERB
ejpam-1675	151	1	i	i	PRON
ejpam-1675	151	2	f	f	PROPN
ejpam-1675	152	1	i	i	PRON
ejpam-1675	152	2	m	m	VERB
ejpam-1675	152	3	.	.	PUNCT
ejpam-1675	153	1	3.3	3.3	NUM
ejpam-1675	153	2	.	.	PUNCT
ejpam-1675	154	1	consistent	consistent	ADJ
ejpam-1675	154	2	and	and	CCONJ
ejpam-1675	154	3	misspecification	misspecification	NOUN
ejpam-1675	154	4	forms	form	NOUN
ejpam-1675	154	5	of	of	ADP
ejpam-1675	154	6	icomp	icomp	ADJ
ejpam-1675	154	7	bozdogan	bozdogan	NOUN
ejpam-1675	154	8	[	[	X
ejpam-1675	154	9	9	9	NUM
ejpam-1675	154	10	]	]	PUNCT
ejpam-1675	154	11	suggested	suggest	VERB
ejpam-1675	154	12	several	several	ADJ
ejpam-1675	154	13	other	other	ADJ
ejpam-1675	154	14	different	different	ADJ
ejpam-1675	154	15	approaches	approach	NOUN
ejpam-1675	154	16	to	to	PART
ejpam-1675	154	17	generalize	generalize	VERB
ejpam-1675	154	18	and	and	CCONJ
ejpam-1675	154	19	derive	derive	VERB
ejpam-1675	154	20	the	the	DET
ejpam-1675	154	21	icom	icom	PROPN
ejpam-1675	154	22	p	p	PROPN
ejpam-1675	154	23	criteria	criterion	NOUN
ejpam-1675	154	24	by	by	ADP
ejpam-1675	154	25	maximizing	maximize	VERB
ejpam-1675	154	26	the	the	DET
ejpam-1675	154	27	posterior	posterior	ADJ
ejpam-1675	154	28	expected	expect	VERB
ejpam-1675	154	29	utility	utility	NOUN
ejpam-1675	154	30	(	(	PUNCT
ejpam-1675	154	31	peu	peu	PROPN
ejpam-1675	154	32	)	)	PUNCT
ejpam-1675	154	33	when	when	SCONJ
ejpam-1675	154	34	the	the	DET
ejpam-1675	154	35	models	model	NOUN
ejpam-1675	154	36	are	be	AUX
ejpam-1675	154	37	misspecified	misspecifie	VERB
ejpam-1675	154	38	(	(	PUNCT
ejpam-1675	154	39	which	which	PRON
ejpam-1675	154	40	is	be	AUX
ejpam-1675	154	41	the	the	DET
ejpam-1675	154	42	case	case	NOUN
ejpam-1675	154	43	in	in	ADP
ejpam-1675	154	44	practice	practice	NOUN
ejpam-1675	154	45	)	)	PUNCT
ejpam-1675	154	46	.	.	PUNCT
ejpam-1675	155	1	here	here	ADV
ejpam-1675	155	2	,	,	PUNCT
ejpam-1675	155	3	we	we	PRON
ejpam-1675	155	4	give	give	VERB
ejpam-1675	155	5	derived	derived	ADJ
ejpam-1675	155	6	forms	form	NOUN
ejpam-1675	155	7	of	of	ADP
ejpam-1675	155	8	these	these	DET
ejpam-1675	155	9	generalized	generalize	VERB
ejpam-1675	155	10	icom	icom	PROPN
ejpam-1675	155	11	p	p	PROPN
ejpam-1675	155	12	criteria	criterion	NOUN
ejpam-1675	155	13	as	as	SCONJ
ejpam-1675	155	14	follows	follow	VERB
ejpam-1675	155	15	.	.	PUNCT
ejpam-1675	156	1	icom	icom	PROPN
ejpam-1675	156	2	p	p	PROPN
ejpam-1675	156	3	�	�	PROPN
ejpam-1675	156	4	f̂−1	f̂−1	PROPN
ejpam-1675	156	5	�	�	PROPN
ejpam-1675	156	6	peu_miss	peu_miss	NOUN
ejpam-1675	156	7	=	=	SYM
ejpam-1675	156	8	−2	−2	PROPN
ejpam-1675	156	9	log	log	NOUN
ejpam-1675	156	10	l	l	X
ejpam-1675	156	11	�	�	PROPN
ejpam-1675	156	12	θ̂	θ̂	PUNCT
ejpam-1675	156	13	�	�	PROPN
ejpam-1675	156	14	+	+	CCONJ
ejpam-1675	156	15	k+	k+	PROPN
ejpam-1675	156	16	2	2	NUM
ejpam-1675	156	17	�	�	PROPN
ejpam-1675	156	18	t	t	PROPN
ejpam-1675	156	19	r	r	NOUN
ejpam-1675	156	20	�	�	PROPN
ejpam-1675	156	21	f̂−1r̂	f̂−1r̂	PUNCT
ejpam-1675	156	22	�	�	PROPN
ejpam-1675	156	23	+	+	CCONJ
ejpam-1675	156	24	c1	c1	PROPN
ejpam-1675	156	25	�	�	PROPN
ejpam-1675	156	26	f̂−1	f̂−1	PROPN
ejpam-1675	156	27	�	�	PROPN
ejpam-1675	156	28	�	�	PROPN
ejpam-1675	156	29	(	(	PUNCT
ejpam-1675	156	30	16	16	NUM
ejpam-1675	156	31	)	)	PUNCT
ejpam-1675	156	32	in	in	ADP
ejpam-1675	156	33	(	(	PUNCT
ejpam-1675	156	34	16	16	NUM
ejpam-1675	156	35	)	)	PUNCT
ejpam-1675	156	36	,	,	PUNCT
ejpam-1675	156	37	whereas	whereas	SCONJ
ejpam-1675	156	38	f̂−1	f̂−1	PROPN
ejpam-1675	156	39	is	be	AUX
ejpam-1675	156	40	i	i	PRON
ejpam-1675	156	41	f	f	PROPN
ejpam-1675	156	42	i	i	PRON
ejpam-1675	156	43	m	m	VERB
ejpam-1675	156	44	in	in	ADP
ejpam-1675	156	45	inner	inner	ADJ
ejpam-1675	156	46	-	-	PUNCT
ejpam-1675	156	47	product	product	NOUN
ejpam-1675	156	48	form	form	NOUN
ejpam-1675	156	49	,	,	PUNCT
ejpam-1675	156	50	r̂	r̂	NOUN
ejpam-1675	156	51	is	be	AUX
ejpam-1675	156	52	i	i	PRON
ejpam-1675	156	53	f	f	PROPN
ejpam-1675	156	54	i	i	PRON
ejpam-1675	156	55	m	m	VERB
ejpam-1675	156	56	in	in	ADP
ejpam-1675	156	57	outer	outer	ADJ
ejpam-1675	156	58	-	-	PUNCT
ejpam-1675	156	59	product	product	NOUN
ejpam-1675	156	60	form	form	NOUN
ejpam-1675	156	61	.	.	PUNCT
ejpam-1675	157	1	if	if	SCONJ
ejpam-1675	157	2	the	the	DET
ejpam-1675	157	3	model	model	NOUN
ejpam-1675	157	4	is	be	AUX
ejpam-1675	157	5	correctly	correctly	ADV
ejpam-1675	157	6	specified	specify	VERB
ejpam-1675	157	7	,	,	PUNCT
ejpam-1675	157	8	these	these	DET
ejpam-1675	157	9	two	two	NUM
ejpam-1675	157	10	forms	form	NOUN
ejpam-1675	157	11	of	of	ADP
ejpam-1675	157	12	fisher	fisher	PROPN
ejpam-1675	157	13	information	information	NOUN
ejpam-1675	157	14	matrices	matrix	NOUN
ejpam-1675	157	15	would	would	AUX
ejpam-1675	157	16	be	be	AUX
ejpam-1675	157	17	equal	equal	ADJ
ejpam-1675	157	18	to	to	ADP
ejpam-1675	157	19	one	one	NUM
ejpam-1675	157	20	another	another	DET
ejpam-1675	157	21	.	.	PUNCT
ejpam-1675	158	1	that	that	PRON
ejpam-1675	158	2	is	be	AUX
ejpam-1675	158	3	,	,	PUNCT
ejpam-1675	158	4	if	if	SCONJ
ejpam-1675	158	5	f̂−1	f̂−1	PROPN
ejpam-1675	158	6	=	=	SYM
ejpam-1675	158	7	r̂	r̂	PROPN
ejpam-1675	158	8	,	,	PUNCT
ejpam-1675	158	9	then	then	ADV
ejpam-1675	158	10	t	t	X
ejpam-1675	158	11	r(f̂−1r̂	r(f̂−1r̂	PROPN
ejpam-1675	158	12	)	)	PUNCT
ejpam-1675	159	1	=	=	SYM
ejpam-1675	159	2	t	t	NOUN
ejpam-1675	159	3	r	r	NOUN
ejpam-1675	159	4	�	�	PROPN
ejpam-1675	159	5	ik	ik	PROPN
ejpam-1675	159	6	�	�	PROPN
ejpam-1675	159	7	=	=	PUNCT
ejpam-1675	159	8	k.	k.	PROPN
ejpam-1675	159	9	in	in	ADP
ejpam-1675	159	10	this	this	DET
ejpam-1675	159	11	case	case	NOUN
ejpam-1675	159	12	,	,	PUNCT
ejpam-1675	159	13	we	we	PRON
ejpam-1675	159	14	have	have	VERB
ejpam-1675	159	15	icom	icom	PROPN
ejpam-1675	159	16	p	p	PROPN
ejpam-1675	159	17	�	�	PROPN
ejpam-1675	159	18	f̂−1	f̂−1	PROPN
ejpam-1675	159	19	�	�	PROPN
ejpam-1675	159	20	peu	peu	NOUN
ejpam-1675	159	21	=	=	PROPN
ejpam-1675	159	22	−2	−2	PROPN
ejpam-1675	159	23	log	log	NOUN
ejpam-1675	159	24	l(θ̂	l(θ̂	PROPN
ejpam-1675	159	25	)	)	PUNCT
ejpam-1675	160	1	+	+	CCONJ
ejpam-1675	160	2	3k+	3k+	NUM
ejpam-1675	160	3	2c1(f̂	2c1(f̂	NUM
ejpam-1675	160	4	−1	−1	NOUN
ejpam-1675	160	5	)	)	PUNCT
ejpam-1675	160	6	e.	e.	PROPN
ejpam-1675	160	7	howe	howe	PROPN
ejpam-1675	160	8	,	,	PUNCT
ejpam-1675	160	9	h.	h.	PROPN
ejpam-1675	160	10	bozdogan	bozdogan	PROPN
ejpam-1675	160	11	,	,	PUNCT
ejpam-1675	160	12	g.	g.	PROPN
ejpam-1675	160	13	kıroğlu	kıroğlu	PROPN
ejpam-1675	160	14	/	/	SYM
ejpam-1675	160	15	eur	eur	PROPN
ejpam-1675	160	16	.	.	PUNCT
ejpam-1675	161	1	j.	j.	PROPN
ejpam-1675	161	2	pure	pure	PROPN
ejpam-1675	161	3	appl	appl	PROPN
ejpam-1675	161	4	.	.	PROPN
ejpam-1675	161	5	math	math	PROPN
ejpam-1675	161	6	,	,	PUNCT
ejpam-1675	161	7	5	5	NUM
ejpam-1675	161	8	(	(	PUNCT
ejpam-1675	161	9	2012	2012	NUM
ejpam-1675	161	10	)	)	PUNCT
ejpam-1675	161	11	,	,	PUNCT
ejpam-1675	161	12	282	282	NUM
ejpam-1675	161	13	-	-	SYM
ejpam-1675	161	14	301	301	NUM
ejpam-1675	161	15	289	289	NUM
ejpam-1675	161	16	=	=	SYM
ejpam-1675	161	17	aic3	aic3	PROPN
ejpam-1675	161	18	+	+	CCONJ
ejpam-1675	161	19	2c1(f̂	2c1(f̂	NUM
ejpam-1675	161	20	−1	−1	NOUN
ejpam-1675	161	21	)	)	PUNCT
ejpam-1675	161	22	(	(	PUNCT
ejpam-1675	161	23	17	17	NUM
ejpam-1675	161	24	)	)	PUNCT
ejpam-1675	161	25	bozdogan	bozdogan	NOUN
ejpam-1675	162	1	[	[	X
ejpam-1675	162	2	9	9	X
ejpam-1675	162	3	]	]	PUNCT
ejpam-1675	162	4	approximates	approximate	VERB
ejpam-1675	162	5	the	the	DET
ejpam-1675	162	6	term	term	NOUN
ejpam-1675	162	7	t	t	PROPN
ejpam-1675	162	8	r(f̂−1r̂	r(f̂−1r̂	PROPN
ejpam-1675	162	9	)	)	PUNCT
ejpam-1675	162	10	in	in	ADP
ejpam-1675	162	11	equation	equation	NOUN
ejpam-1675	162	12	(	(	PUNCT
ejpam-1675	162	13	16	16	NUM
ejpam-1675	162	14	)	)	PUNCT
ejpam-1675	162	15	by	by	ADP
ejpam-1675	162	16	t	t	PROPN
ejpam-1675	162	17	r	r	NOUN
ejpam-1675	162	18	�	�	PROPN
ejpam-1675	162	19	f̂−1r̂	f̂−1r̂	PUNCT
ejpam-1675	162	20	�	�	PROPN
ejpam-1675	162	21	=	=	SYM
ejpam-1675	162	22	nk	nk	PROPN
ejpam-1675	162	23	n−	n−	PROPN
ejpam-1675	162	24	k−	k−	PROPN
ejpam-1675	162	25	2	2	NUM
ejpam-1675	162	26	which	which	PRON
ejpam-1675	162	27	corrects	correct	VERB
ejpam-1675	162	28	the	the	DET
ejpam-1675	162	29	bias	bias	NOUN
ejpam-1675	162	30	for	for	ADP
ejpam-1675	162	31	small	small	ADJ
ejpam-1675	162	32	as	as	ADV
ejpam-1675	162	33	well	well	ADV
ejpam-1675	162	34	as	as	ADP
ejpam-1675	162	35	large	large	ADJ
ejpam-1675	162	36	sample	sample	NOUN
ejpam-1675	162	37	sizes	size	NOUN
ejpam-1675	162	38	.	.	PUNCT
ejpam-1675	163	1	thus	thus	ADV
ejpam-1675	163	2	,	,	PUNCT
ejpam-1675	163	3	equation	equation	NOUN
ejpam-1675	163	4	(	(	PUNCT
ejpam-1675	163	5	16	16	NUM
ejpam-1675	163	6	)	)	PUNCT
ejpam-1675	163	7	reduces	reduce	VERB
ejpam-1675	163	8	to	to	ADP
ejpam-1675	163	9	icom	icom	PROPN
ejpam-1675	163	10	p	p	PROPN
ejpam-1675	163	11	�	�	PROPN
ejpam-1675	163	12	f̂−1	f̂−1	PROPN
ejpam-1675	163	13	�	�	PROPN
ejpam-1675	163	14	peu_miss	peu_miss	NOUN
ejpam-1675	163	15	=	=	SYM
ejpam-1675	163	16	−2	−2	PROPN
ejpam-1675	163	17	log	log	NOUN
ejpam-1675	163	18	l(θ̂	l(θ̂	PROPN
ejpam-1675	163	19	)	)	PUNCT
ejpam-1675	164	1	+	+	CCONJ
ejpam-1675	164	2	k+	k+	NOUN
ejpam-1675	164	3	2	2	X
ejpam-1675	164	4	(	(	PUNCT
ejpam-1675	164	5	nk	nk	PROPN
ejpam-1675	164	6	n−	n−	PROPN
ejpam-1675	164	7	k−	k−	PROPN
ejpam-1675	164	8	2	2	NUM
ejpam-1675	164	9	)	)	PUNCT
ejpam-1675	165	1	+	+	CCONJ
ejpam-1675	165	2	2c1(f̂	2c1(f̂	NUM
ejpam-1675	165	3	−1	−1	NOUN
ejpam-1675	165	4	)	)	PUNCT
ejpam-1675	165	5	.	.	PUNCT
ejpam-1675	166	1	(	(	PUNCT
ejpam-1675	166	2	18	18	NUM
ejpam-1675	166	3	)	)	PUNCT
ejpam-1675	166	4	this	this	DET
ejpam-1675	166	5	form	form	NOUN
ejpam-1675	166	6	of	of	ADP
ejpam-1675	166	7	icom	icom	PROPN
ejpam-1675	166	8	p	p	PROPN
ejpam-1675	166	9	is	be	AUX
ejpam-1675	166	10	useful	useful	ADJ
ejpam-1675	166	11	in	in	ADP
ejpam-1675	166	12	cases	case	NOUN
ejpam-1675	166	13	where	where	SCONJ
ejpam-1675	166	14	we	we	PRON
ejpam-1675	166	15	can	can	AUX
ejpam-1675	166	16	not	not	PART
ejpam-1675	166	17	determine	determine	VERB
ejpam-1675	166	18	the	the	DET
ejpam-1675	166	19	closed	closed	ADJ
ejpam-1675	166	20	form	form	NOUN
ejpam-1675	166	21	expression	expression	NOUN
ejpam-1675	166	22	of	of	ADP
ejpam-1675	166	23	r̂	r̂	NOUN
ejpam-1675	166	24	,	,	PUNCT
ejpam-1675	166	25	outer	outer	ADJ
ejpam-1675	166	26	-	-	PUNCT
ejpam-1675	166	27	product	product	NOUN
ejpam-1675	166	28	form	form	NOUN
ejpam-1675	166	29	of	of	ADP
ejpam-1675	166	30	i	i	PRON
ejpam-1675	166	31	f	f	PROPN
ejpam-1675	167	1	i	i	PRON
ejpam-1675	167	2	m	m	VERB
ejpam-1675	167	3	in	in	ADP
ejpam-1675	167	4	many	many	ADJ
ejpam-1675	167	5	modeling	modeling	NOUN
ejpam-1675	167	6	situations	situation	NOUN
ejpam-1675	167	7	and	and	CCONJ
ejpam-1675	167	8	sem	sem	NOUN
ejpam-1675	167	9	is	be	AUX
ejpam-1675	167	10	a	a	DET
ejpam-1675	167	11	case	case	NOUN
ejpam-1675	167	12	in	in	ADP
ejpam-1675	167	13	point	point	NOUN
ejpam-1675	167	14	example	example	NOUN
ejpam-1675	167	15	.	.	PUNCT
ejpam-1675	168	1	consistent	consistent	ADJ
ejpam-1675	168	2	icom	icom	PROPN
ejpam-1675	168	3	p	p	NOUN
ejpam-1675	168	4	that	that	PRON
ejpam-1675	168	5	maximizes	maximize	VERB
ejpam-1675	168	6	the	the	DET
ejpam-1675	168	7	posterior	posterior	ADJ
ejpam-1675	168	8	expected	expect	VERB
ejpam-1675	168	9	utility	utility	NOUN
ejpam-1675	168	10	(	(	PUNCT
ejpam-1675	168	11	peu)is	peu)is	NOUN
ejpam-1675	168	12	given	give	VERB
ejpam-1675	168	13	by	by	ADP
ejpam-1675	168	14	c	c	PROPN
ejpam-1675	168	15	icom	icom	PROPN
ejpam-1675	168	16	p(f̂−1)peu	p(f̂−1)peu	PROPN
ejpam-1675	168	17	=	=	PUNCT
ejpam-1675	168	18	−2	−2	PROPN
ejpam-1675	168	19	log	log	NOUN
ejpam-1675	168	20	l(θ̂	l(θ̂	PROPN
ejpam-1675	168	21	|x	|x	PROPN
ejpam-1675	168	22	)	)	PUNCT
ejpam-1675	169	1	+	+	NUM
ejpam-1675	169	2	k+	k+	X
ejpam-1675	169	3	2k	2k	PROPN
ejpam-1675	169	4	log(n)+	log(n)+	VERB
ejpam-1675	169	5	2c1(f̂	2c1(f̂	NUM
ejpam-1675	169	6	−1	−1	NOUN
ejpam-1675	169	7	)	)	PUNCT
ejpam-1675	169	8	=	=	VERB
ejpam-1675	170	1	caic	caic	PROPN
ejpam-1675	170	2	+	+	CCONJ
ejpam-1675	170	3	2c1(f̂	2c1(f̂	NUM
ejpam-1675	170	4	−1	−1	NOUN
ejpam-1675	170	5	)	)	PUNCT
ejpam-1675	170	6	.	.	PUNCT
ejpam-1675	171	1	(	(	PUNCT
ejpam-1675	171	2	19	19	NUM
ejpam-1675	171	3	)	)	PUNCT
ejpam-1675	171	4	further	far	ADV
ejpam-1675	171	5	,	,	PUNCT
ejpam-1675	171	6	consistent	consistent	ADJ
ejpam-1675	171	7	icom	icom	PROPN
ejpam-1675	171	8	p	p	NOUN
ejpam-1675	171	9	that	that	PRON
ejpam-1675	171	10	maximizes	maximize	VERB
ejpam-1675	171	11	the	the	DET
ejpam-1675	171	12	posterior	posterior	ADJ
ejpam-1675	171	13	expected	expect	VERB
ejpam-1675	171	14	utility	utility	NOUN
ejpam-1675	171	15	(	(	PUNCT
ejpam-1675	171	16	peu	peu	NOUN
ejpam-1675	171	17	)	)	PUNCT
ejpam-1675	171	18	and	and	CCONJ
ejpam-1675	171	19	also	also	ADV
ejpam-1675	171	20	guards	guard	VERB
ejpam-1675	171	21	us	we	PRON
ejpam-1675	171	22	against	against	ADP
ejpam-1675	171	23	misspecification	misspecification	NOUN
ejpam-1675	171	24	is	be	AUX
ejpam-1675	171	25	given	give	VERB
ejpam-1675	171	26	by	by	ADP
ejpam-1675	171	27	c	c	PROPN
ejpam-1675	171	28	icom	icom	PROPN
ejpam-1675	171	29	p(f̂−1)peu_miss	p(f̂−1)peu_miss	PROPN
ejpam-1675	171	30	=	=	PUNCT
ejpam-1675	171	31	−2	−2	NOUN
ejpam-1675	171	32	log	log	NOUN
ejpam-1675	171	33	l(θ̂	l(θ̂	PROPN
ejpam-1675	171	34	|x	|x	PROPN
ejpam-1675	171	35	)	)	PUNCT
ejpam-1675	172	1	+	+	CCONJ
ejpam-1675	172	2	k+	k+	X
ejpam-1675	172	3	2	2	NUM
ejpam-1675	172	4	log(n	log(n	NOUN
ejpam-1675	172	5	)	)	PUNCT
ejpam-1675	172	6	nk	nk	PROPN
ejpam-1675	172	7	n−	n−	PROPN
ejpam-1675	172	8	k−	k−	PROPN
ejpam-1675	172	9	2	2	NUM
ejpam-1675	172	10	+	+	NUM
ejpam-1675	172	11	2c1(f̂	2c1(f̂	NUM
ejpam-1675	172	12	−1	−1	NOUN
ejpam-1675	172	13	)	)	PUNCT
ejpam-1675	172	14	.	.	PUNCT
ejpam-1675	173	1	(	(	PUNCT
ejpam-1675	173	2	20	20	NUM
ejpam-1675	173	3	)	)	PUNCT
ejpam-1675	173	4	a	a	DET
ejpam-1675	173	5	model	model	NOUN
ejpam-1675	173	6	with	with	ADP
ejpam-1675	173	7	minimum	minimum	ADJ
ejpam-1675	173	8	icomp	icomp	ADJ
ejpam-1675	173	9	-	-	PUNCT
ejpam-1675	173	10	type	type	NOUN
ejpam-1675	173	11	and	and	CCONJ
ejpam-1675	173	12	aic	aic	PROPN
ejpam-1675	173	13	-	-	PUNCT
ejpam-1675	173	14	type	type	NOUN
ejpam-1675	173	15	criteria	criterion	NOUN
ejpam-1675	173	16	are	be	AUX
ejpam-1675	173	17	chosen	choose	VERB
ejpam-1675	173	18	to	to	PART
ejpam-1675	173	19	be	be	AUX
ejpam-1675	173	20	the	the	DET
ejpam-1675	173	21	best	good	ADJ
ejpam-1675	173	22	model	model	NOUN
ejpam-1675	173	23	among	among	ADP
ejpam-1675	173	24	all	all	DET
ejpam-1675	173	25	possible	possible	ADJ
ejpam-1675	173	26	competing	compete	VERB
ejpam-1675	173	27	alternative	alternative	ADJ
ejpam-1675	173	28	models	model	NOUN
ejpam-1675	173	29	.	.	PUNCT
ejpam-1675	174	1	with	with	ADP
ejpam-1675	174	2	icom	icom	PROPN
ejpam-1675	174	3	p	p	NOUN
ejpam-1675	174	4	-	-	PUNCT
ejpam-1675	174	5	type	type	NOUN
ejpam-1675	174	6	criteria	criterion	NOUN
ejpam-1675	174	7	,	,	PUNCT
ejpam-1675	174	8	complexity	complexity	NOUN
ejpam-1675	174	9	is	be	AUX
ejpam-1675	174	10	viewed	view	VERB
ejpam-1675	174	11	not	not	PART
ejpam-1675	174	12	as	as	ADP
ejpam-1675	174	13	the	the	DET
ejpam-1675	174	14	number	number	NOUN
ejpam-1675	174	15	of	of	ADP
ejpam-1675	174	16	parameters	parameter	NOUN
ejpam-1675	174	17	in	in	ADP
ejpam-1675	174	18	the	the	DET
ejpam-1675	174	19	model	model	NOUN
ejpam-1675	174	20	,	,	PUNCT
ejpam-1675	174	21	but	but	CCONJ
ejpam-1675	174	22	as	as	ADP
ejpam-1675	174	23	the	the	DET
ejpam-1675	174	24	degree	degree	NOUN
ejpam-1675	174	25	of	of	ADP
ejpam-1675	174	26	interdependence	interdependence	NOUN
ejpam-1675	174	27	(	(	PUNCT
ejpam-1675	174	28	i.e.	i.e.	X
ejpam-1675	174	29	,	,	PUNCT
ejpam-1675	174	30	the	the	DET
ejpam-1675	174	31	correlational	correlational	ADJ
ejpam-1675	174	32	structure	structure	NOUN
ejpam-1675	174	33	among	among	ADP
ejpam-1675	174	34	the	the	DET
ejpam-1675	174	35	parameter	parameter	NOUN
ejpam-1675	174	36	estimates	estimate	NOUN
ejpam-1675	174	37	)	)	PUNCT
ejpam-1675	174	38	.	.	PUNCT
ejpam-1675	175	1	by	by	ADP
ejpam-1675	175	2	defining	define	VERB
ejpam-1675	175	3	complexity	complexity	NOUN
ejpam-1675	175	4	in	in	ADP
ejpam-1675	175	5	this	this	DET
ejpam-1675	175	6	way	way	NOUN
ejpam-1675	175	7	,	,	PUNCT
ejpam-1675	175	8	icom	icom	PROPN
ejpam-1675	175	9	p	p	ADJ
ejpam-1675	175	10	-	-	PUNCT
ejpam-1675	175	11	type	type	NOUN
ejpam-1675	175	12	criteria	criterion	NOUN
ejpam-1675	175	13	provide	provide	VERB
ejpam-1675	175	14	a	a	DET
ejpam-1675	175	15	more	more	ADV
ejpam-1675	175	16	judicious	judicious	ADJ
ejpam-1675	175	17	penalty	penalty	NOUN
ejpam-1675	175	18	term	term	NOUN
ejpam-1675	175	19	than	than	ADP
ejpam-1675	175	20	aic	aic	PROPN
ejpam-1675	175	21	,	,	PUNCT
ejpam-1675	175	22	m	m	VERB
ejpam-1675	175	23	dl	dl	PROPN
ejpam-1675	175	24	,	,	PUNCT
ejpam-1675	175	25	sbc	sbc	NOUN
ejpam-1675	175	26	,	,	PUNCT
ejpam-1675	175	27	or	or	CCONJ
ejpam-1675	175	28	caic	caic	PROPN
ejpam-1675	175	29	.	.	PUNCT
ejpam-1675	176	1	the	the	DET
ejpam-1675	176	2	lack	lack	NOUN
ejpam-1675	176	3	of	of	ADP
ejpam-1675	176	4	parsimony	parsimony	NOUN
ejpam-1675	176	5	is	be	AUX
ejpam-1675	176	6	automatically	automatically	ADV
ejpam-1675	176	7	adjusted	adjust	VERB
ejpam-1675	176	8	by	by	ADP
ejpam-1675	176	9	c1(f̂	c1(f̂	PROPN
ejpam-1675	176	10	−1	−1	NOUN
ejpam-1675	176	11	)	)	PUNCT
ejpam-1675	176	12	across	across	ADP
ejpam-1675	176	13	the	the	DET
ejpam-1675	176	14	competing	compete	VERB
ejpam-1675	176	15	alternative	alternative	ADJ
ejpam-1675	176	16	portfolio	portfolio	NOUN
ejpam-1675	176	17	of	of	ADP
ejpam-1675	176	18	models	model	NOUN
ejpam-1675	176	19	as	as	SCONJ
ejpam-1675	176	20	the	the	DET
ejpam-1675	176	21	parameter	parameter	NOUN
ejpam-1675	176	22	spaces	space	NOUN
ejpam-1675	176	23	of	of	ADP
ejpam-1675	176	24	these	these	DET
ejpam-1675	176	25	models	model	NOUN
ejpam-1675	176	26	are	be	AUX
ejpam-1675	176	27	constrained	constrain	VERB
ejpam-1675	176	28	in	in	ADP
ejpam-1675	176	29	the	the	DET
ejpam-1675	176	30	model	model	NOUN
ejpam-1675	176	31	selection	selection	NOUN
ejpam-1675	176	32	process	process	NOUN
ejpam-1675	176	33	.	.	PUNCT
ejpam-1675	177	1	for	for	ADP
ejpam-1675	177	2	more	more	ADJ
ejpam-1675	177	3	on	on	ADP
ejpam-1675	177	4	icom	icom	PROPN
ejpam-1675	177	5	ptype	ptype	PROPN
ejpam-1675	177	6	criteria	criterion	NOUN
ejpam-1675	177	7	,	,	PUNCT
ejpam-1675	177	8	we	we	PRON
ejpam-1675	177	9	refer	refer	VERB
ejpam-1675	177	10	the	the	DET
ejpam-1675	177	11	readers	reader	NOUN
ejpam-1675	177	12	to	to	ADP
ejpam-1675	177	13	[	[	X
ejpam-1675	177	14	9	9	NUM
ejpam-1675	177	15	]	]	PUNCT
ejpam-1675	177	16	and	and	CCONJ
ejpam-1675	177	17	[	[	X
ejpam-1675	177	18	13	13	NUM
ejpam-1675	177	19	]	]	PUNCT
ejpam-1675	177	20	.	.	PUNCT
ejpam-1675	178	1	4	4	X
ejpam-1675	178	2	.	.	X
ejpam-1675	178	3	derived	derive	VERB
ejpam-1675	178	4	forms	form	NOUN
ejpam-1675	178	5	of	of	ADP
ejpam-1675	178	6	information	information	NOUN
ejpam-1675	178	7	criteria	criterion	NOUN
ejpam-1675	178	8	in	in	ADP
ejpam-1675	178	9	structural	structural	ADJ
ejpam-1675	178	10	equation	equation	NOUN
ejpam-1675	178	11	models	model	NOUN
ejpam-1675	178	12	4.1	4.1	NUM
ejpam-1675	178	13	.	.	PUNCT
ejpam-1675	179	1	aic	aic	PROPN
ejpam-1675	179	2	-	-	PUNCT
ejpam-1675	179	3	type	type	NOUN
ejpam-1675	179	4	criteria	criterion	NOUN
ejpam-1675	179	5	in	in	ADP
ejpam-1675	179	6	sem	sem	PROPN
ejpam-1675	179	7	under	under	ADP
ejpam-1675	179	8	the	the	DET
ejpam-1675	179	9	assumption	assumption	NOUN
ejpam-1675	179	10	that	that	SCONJ
ejpam-1675	179	11	the	the	DET
ejpam-1675	179	12	observed	observed	ADJ
ejpam-1675	179	13	variables	variable	NOUN
ejpam-1675	179	14	are	be	AUX
ejpam-1675	179	15	continuous	continuous	ADJ
ejpam-1675	179	16	and	and	CCONJ
ejpam-1675	179	17	have	have	VERB
ejpam-1675	179	18	interval	interval	NOUN
ejpam-1675	179	19	scales	scale	NOUN
ejpam-1675	179	20	,	,	PUNCT
ejpam-1675	179	21	and	and	CCONJ
ejpam-1675	179	22	multivariate	multivariate	VERB
ejpam-1675	179	23	normal	normal	ADJ
ejpam-1675	179	24	,	,	PUNCT
ejpam-1675	179	25	that	that	ADV
ejpam-1675	179	26	is	be	AUX
ejpam-1675	179	27	,	,	PUNCT
ejpam-1675	179	28	z	z	X
ejpam-1675	179	29	=	=	SYM
ejpam-1675	179	30	(	(	PUNCT
ejpam-1675	179	31	y	y	PROPN
ejpam-1675	179	32	′	′	PROPN
ejpam-1675	179	33	,	,	PUNCT
ejpam-1675	179	34	x	x	X
ejpam-1675	179	35	′)′	′)′	PROPN
ejpam-1675	179	36	∼	∼	NOUN
ejpam-1675	179	37	n(p+q)(0,σ(θ	n(p+q)(0,σ(θ	ADJ
ejpam-1675	179	38	)	)	PUNCT
ejpam-1675	179	39	)	)	PUNCT
ejpam-1675	180	1	(	(	PUNCT
ejpam-1675	180	2	21	21	NUM
ejpam-1675	180	3	)	)	PUNCT
ejpam-1675	180	4	and	and	CCONJ
ejpam-1675	180	5	using	use	VERB
ejpam-1675	180	6	the	the	DET
ejpam-1675	180	7	maximum	maximum	ADJ
ejpam-1675	180	8	likelihood	likelihood	NOUN
ejpam-1675	180	9	estimators	estimator	NOUN
ejpam-1675	180	10	,	,	PUNCT
ejpam-1675	180	11	we	we	PRON
ejpam-1675	180	12	obtain	obtain	VERB
ejpam-1675	180	13	aic	aic	PROPN
ejpam-1675	180	14	,	,	PUNCT
ejpam-1675	180	15	caic	caic	PROPN
ejpam-1675	180	16	,	,	PUNCT
ejpam-1675	180	17	caic	caic	PROPN
ejpam-1675	180	18	f	f	PROPN
ejpam-1675	180	19	and	and	CCONJ
ejpam-1675	180	20	bms	bms	PROPN
ejpam-1675	180	21	for	for	ADP
ejpam-1675	180	22	the	the	DET
ejpam-1675	180	23	sem	sem	NOUN
ejpam-1675	180	24	.	.	PUNCT
ejpam-1675	181	1	these	these	PRON
ejpam-1675	181	2	are	be	AUX
ejpam-1675	181	3	given	give	VERB
ejpam-1675	181	4	in	in	ADP
ejpam-1675	181	5	[	[	NOUN
ejpam-1675	181	6	13	13	NUM
ejpam-1675	181	7	]	]	PUNCT
ejpam-1675	181	8	as	as	SCONJ
ejpam-1675	181	9	follows	follow	VERB
ejpam-1675	181	10	.	.	PUNCT
ejpam-1675	182	1	aic	aic	PROPN
ejpam-1675	182	2	=	=	SYM
ejpam-1675	182	3	n(p+	n(p+	PROPN
ejpam-1675	182	4	q	q	X
ejpam-1675	182	5	)	)	PUNCT
ejpam-1675	182	6	log(2π	log(2π	NOUN
ejpam-1675	182	7	)	)	PUNCT
ejpam-1675	183	1	+	+	CCONJ
ejpam-1675	183	2	n	n	CCONJ
ejpam-1675	183	3	log	log	VERB
ejpam-1675	183	4	|σ̂|+	|σ̂|+	PROPN
ejpam-1675	183	5	ntr(σ̂−1s	ntr(σ̂−1s	PROPN
ejpam-1675	183	6	)	)	PUNCT
ejpam-1675	184	1	+	+	CCONJ
ejpam-1675	184	2	2k	2k	NUM
ejpam-1675	184	3	,	,	PUNCT
ejpam-1675	184	4	(	(	PUNCT
ejpam-1675	184	5	22	22	NUM
ejpam-1675	184	6	)	)	PUNCT
ejpam-1675	184	7	e.	e.	PROPN
ejpam-1675	184	8	howe	howe	PROPN
ejpam-1675	184	9	,	,	PUNCT
ejpam-1675	184	10	h.	h.	PROPN
ejpam-1675	184	11	bozdogan	bozdogan	PROPN
ejpam-1675	184	12	,	,	PUNCT
ejpam-1675	184	13	g.	g.	PROPN
ejpam-1675	184	14	kıroğlu	kıroğlu	PROPN
ejpam-1675	184	15	/	/	SYM
ejpam-1675	184	16	eur	eur	PROPN
ejpam-1675	184	17	.	.	PUNCT
ejpam-1675	185	1	j.	j.	PROPN
ejpam-1675	185	2	pure	pure	PROPN
ejpam-1675	185	3	appl	appl	PROPN
ejpam-1675	185	4	.	.	PROPN
ejpam-1675	185	5	math	math	PROPN
ejpam-1675	185	6	,	,	PUNCT
ejpam-1675	185	7	5	5	NUM
ejpam-1675	185	8	(	(	PUNCT
ejpam-1675	185	9	2012	2012	NUM
ejpam-1675	185	10	)	)	PUNCT
ejpam-1675	185	11	,	,	PUNCT
ejpam-1675	185	12	282	282	NUM
ejpam-1675	185	13	-	-	SYM
ejpam-1675	185	14	301	301	NUM
ejpam-1675	185	15	290	290	NUM
ejpam-1675	185	16	caic	caic	PROPN
ejpam-1675	185	17	=	=	SYM
ejpam-1675	186	1	n(p+	n(p+	PROPN
ejpam-1675	186	2	q	q	X
ejpam-1675	186	3	)	)	PUNCT
ejpam-1675	186	4	log(2π)+	log(2π)+	NOUN
ejpam-1675	186	5	n	n	X
ejpam-1675	186	6	log	log	VERB
ejpam-1675	186	7	|σ̂|+	|σ̂|+	PROPN
ejpam-1675	186	8	ntr(σ̂−1s	ntr(σ̂−1s	PROPN
ejpam-1675	186	9	)	)	PUNCT
ejpam-1675	187	1	+	+	CCONJ
ejpam-1675	187	2	k	k	PROPN
ejpam-1675	187	3	�	�	PROPN
ejpam-1675	187	4	log(n)+	log(n)+	PROPN
ejpam-1675	187	5	1	1	NUM
ejpam-1675	187	6	�	�	PROPN
ejpam-1675	187	7	,	,	PUNCT
ejpam-1675	187	8	(	(	PUNCT
ejpam-1675	187	9	23	23	NUM
ejpam-1675	187	10	)	)	PUNCT
ejpam-1675	187	11	caic	caic	PROPN
ejpam-1675	187	12	f	f	PROPN
ejpam-1675	188	1	=	=	SYM
ejpam-1675	188	2	n(p+	n(p+	PROPN
ejpam-1675	188	3	q	q	X
ejpam-1675	188	4	)	)	PUNCT
ejpam-1675	188	5	log(2π)+	log(2π)+	NOUN
ejpam-1675	188	6	n	n	X
ejpam-1675	188	7	log	log	VERB
ejpam-1675	188	8	|σ̂|+	|σ̂|+	PROPN
ejpam-1675	188	9	ntr(σ̂−1s	ntr(σ̂−1s	PROPN
ejpam-1675	188	10	)	)	PUNCT
ejpam-1675	189	1	+	+	CCONJ
ejpam-1675	189	2	k	k	PROPN
ejpam-1675	189	3	�	�	PROPN
ejpam-1675	189	4	log(n)+	log(n)+	PROPN
ejpam-1675	189	5	2	2	NUM
ejpam-1675	189	6	�	�	NOUN
ejpam-1675	189	7	+	+	CCONJ
ejpam-1675	189	8	log	log	VERB
ejpam-1675	189	9	|f̂	|f̂	ADV
ejpam-1675	189	10	|	|	ADV
ejpam-1675	189	11	,	,	PUNCT
ejpam-1675	189	12	(	(	PUNCT
ejpam-1675	189	13	24	24	NUM
ejpam-1675	189	14	)	)	PUNCT
ejpam-1675	189	15	bms	bms	PROPN
ejpam-1675	189	16	=	=	SYM
ejpam-1675	190	1	n(p+	n(p+	PROPN
ejpam-1675	190	2	q	q	X
ejpam-1675	190	3	)	)	PUNCT
ejpam-1675	190	4	log(2π)+	log(2π)+	NOUN
ejpam-1675	190	5	n	n	X
ejpam-1675	190	6	log	log	VERB
ejpam-1675	190	7	|σ̂|+	|σ̂|+	PROPN
ejpam-1675	190	8	ntr(σ̂−1s	ntr(σ̂−1s	PROPN
ejpam-1675	190	9	)	)	PUNCT
ejpam-1675	191	1	+	+	CCONJ
ejpam-1675	191	2	k	k	PROPN
ejpam-1675	191	3	log(n)+	log(n)+	PROPN
ejpam-1675	191	4	(	(	PUNCT
ejpam-1675	191	5	nk	nk	PROPN
ejpam-1675	191	6	n−	n−	PROPN
ejpam-1675	191	7	k−	k−	PROPN
ejpam-1675	191	8	2	2	NUM
ejpam-1675	191	9	)	)	PUNCT
ejpam-1675	191	10	+	+	CCONJ
ejpam-1675	191	11	log	log	VERB
ejpam-1675	191	12	|f̂	|f̂	ADV
ejpam-1675	191	13	|	|	ADV
ejpam-1675	191	14	,	,	PUNCT
ejpam-1675	191	15	(	(	PUNCT
ejpam-1675	191	16	25	25	NUM
ejpam-1675	191	17	)	)	PUNCT
ejpam-1675	191	18	where	where	SCONJ
ejpam-1675	191	19	k	k	PROPN
ejpam-1675	191	20	is	be	AUX
ejpam-1675	191	21	the	the	DET
ejpam-1675	191	22	number	number	NOUN
ejpam-1675	191	23	of	of	ADP
ejpam-1675	191	24	parameters	parameter	NOUN
ejpam-1675	191	25	in	in	ADP
ejpam-1675	191	26	sem	sem	PROPN
ejpam-1675	191	27	.	.	PROPN
ejpam-1675	192	1	4.2	4.2	NUM
ejpam-1675	192	2	.	.	PUNCT
ejpam-1675	192	3	icomp	icomp	ADJ
ejpam-1675	192	4	-	-	PUNCT
ejpam-1675	192	5	type	type	NOUN
ejpam-1675	192	6	criteria	criterion	NOUN
ejpam-1675	192	7	in	in	ADP
ejpam-1675	192	8	sem	sem	NOUN
ejpam-1675	192	9	let	let	AUX
ejpam-1675	192	10	σ̂(θ̂	σ̂(θ̂	ADV
ejpam-1675	192	11	)	)	PUNCT
ejpam-1675	192	12	denote	denote	VERB
ejpam-1675	192	13	the	the	DET
ejpam-1675	192	14	maximum	maximum	ADJ
ejpam-1675	192	15	likelihood	likelihood	NOUN
ejpam-1675	192	16	estimator	estimator	NOUN
ejpam-1675	192	17	(	(	PUNCT
ejpam-1675	192	18	mle	mle	PROPN
ejpam-1675	192	19	)	)	PUNCT
ejpam-1675	192	20	of	of	ADP
ejpam-1675	192	21	the	the	DET
ejpam-1675	192	22	implied	imply	VERB
ejpam-1675	192	23	covariance	covariance	NOUN
ejpam-1675	192	24	matrix	matrix	NOUN
ejpam-1675	192	25	σ(θ	σ(θ	NOUN
ejpam-1675	192	26	)	)	PUNCT
ejpam-1675	192	27	given	give	VERB
ejpam-1675	192	28	by	by	ADP
ejpam-1675	192	29	σ̂(θ̂	σ̂(θ̂	PRON
ejpam-1675	192	30	)	)	PUNCT
ejpam-1675	192	31	(	(	PUNCT
ejpam-1675	192	32	p+q)×(p+q	p+q)×(p+q	NUM
ejpam-1675	192	33	)	)	PUNCT
ejpam-1675	192	34	=	=	PUNCT
ejpam-1675	192	35	�	�	PROPN
ejpam-1675	192	36	λ̂y(i	λ̂y(i	PROPN
ejpam-1675	193	1	−	−	PROPN
ejpam-1675	193	2	b̂)−1(γ̂φ̂γ̂′+	b̂)−1(γ̂φ̂γ̂′+	PROPN
ejpam-1675	193	3	ψ̂)(i	ψ̂)(i	PROPN
ejpam-1675	193	4	−	−	PUNCT
ejpam-1675	193	5	b̂′)−1λ̂y	b̂′)−1λ̂y	PROPN
ejpam-1675	193	6	+	+	PUNCT
ejpam-1675	193	7	θ̂ǫ	θ̂ǫ	NOUN
ejpam-1675	193	8	λ̂y(i	λ̂y(i	PROPN
ejpam-1675	193	9	−	−	NUM
ejpam-1675	193	10	b̂)−1γ̂φ̂λ̂′x	b̂)−1γ̂φ̂λ̂′x	ADV
ejpam-1675	193	11	λ̂x	λ̂x	X
ejpam-1675	193	12	φ̂γ̂	φ̂γ̂	NOUN
ejpam-1675	193	13	′(i	′(i	VERB
ejpam-1675	193	14	−	−	PROPN
ejpam-1675	193	15	b̂′)−1λ̂′y	b̂′)−1λ̂′y	NOUN
ejpam-1675	193	16	λ̂x	λ̂x	NUM
ejpam-1675	193	17	φ̂λ̂	φ̂λ̂	NUM
ejpam-1675	193	18	′	′	NUM
ejpam-1675	193	19	x	x	PUNCT
ejpam-1675	194	1	+	+	PUNCT
ejpam-1675	194	2	θ̂δ	θ̂δ	PUNCT
ejpam-1675	194	3	�	�	PROPN
ejpam-1675	194	4	.	.	PUNCT
ejpam-1675	195	1	(	(	PUNCT
ejpam-1675	195	2	26	26	NUM
ejpam-1675	195	3	)	)	PUNCT
ejpam-1675	195	4	the	the	DET
ejpam-1675	195	5	first	first	ADJ
ejpam-1675	195	6	icom	icom	PROPN
ejpam-1675	195	7	p	p	PROPN
ejpam-1675	195	8	criterion	criterion	NOUN
ejpam-1675	195	9	in	in	ADP
ejpam-1675	195	10	sem	sem	PROPN
ejpam-1675	195	11	is	be	AUX
ejpam-1675	195	12	given	give	VERB
ejpam-1675	195	13	by	by	ADP
ejpam-1675	195	14	icom	icom	PROPN
ejpam-1675	195	15	p	p	PROPN
ejpam-1675	195	16	=	=	PUNCT
ejpam-1675	195	17	n(p+	n(p+	PROPN
ejpam-1675	195	18	q	q	X
ejpam-1675	195	19	)	)	PUNCT
ejpam-1675	195	20	log(2π)+	log(2π)+	NOUN
ejpam-1675	195	21	n	n	X
ejpam-1675	195	22	log	log	VERB
ejpam-1675	195	23	|σ̂|+	|σ̂|+	PROPN
ejpam-1675	195	24	ntr(σ̂−1s	ntr(σ̂−1s	PROPN
ejpam-1675	195	25	)	)	PUNCT
ejpam-1675	195	26	+	+	X
ejpam-1675	195	27	2c1(σ̂(θ̂	2c1(σ̂(θ̂	NUM
ejpam-1675	195	28	)	)	PUNCT
ejpam-1675	195	29	)	)	PUNCT
ejpam-1675	195	30	.	.	PUNCT
ejpam-1675	196	1	(	(	PUNCT
ejpam-1675	196	2	27	27	NUM
ejpam-1675	196	3	)	)	PUNCT
ejpam-1675	196	4	we	we	PRON
ejpam-1675	196	5	can	can	AUX
ejpam-1675	196	6	also	also	ADV
ejpam-1675	196	7	use	use	VERB
ejpam-1675	196	8	the	the	DET
ejpam-1675	196	9	estimated	estimate	VERB
ejpam-1675	196	10	i	i	PRON
ejpam-1675	196	11	f	f	PROPN
ejpam-1675	197	1	i	i	PRON
ejpam-1675	197	2	m	m	PROPN
ejpam-1675	197	3	,	,	PUNCT
ejpam-1675	197	4	the	the	DET
ejpam-1675	197	5	covariance	covariance	NOUN
ejpam-1675	197	6	of	of	ADP
ejpam-1675	197	7	the	the	DET
ejpam-1675	197	8	model	model	NOUN
ejpam-1675	197	9	parameters	parameter	NOUN
ejpam-1675	197	10	,	,	PUNCT
ejpam-1675	197	11	for	for	ADP
ejpam-1675	197	12	the	the	DET
ejpam-1675	197	13	general	general	ADJ
ejpam-1675	197	14	sem	sem	NOUN
ejpam-1675	197	15	as	as	SCONJ
ejpam-1675	197	16	given	give	VERB
ejpam-1675	197	17	by	by	ADP
ejpam-1675	197	18	f̂−1	f̂−1	PROPN
ejpam-1675	197	19	=	=	SYM
ejpam-1675	197	20			PROPN
ejpam-1675	197	21			VERB
ejpam-1675	197	22	1	1	NUM
ejpam-1675	197	23	n	n	NUM
ejpam-1675	197	24	σ̂(θ̂	σ̂(θ̂	ADV
ejpam-1675	197	25	)	)	PUNCT
ejpam-1675	197	26	0	0	NUM
ejpam-1675	198	1	0′	0′	NUM
ejpam-1675	198	2	2	2	NUM
ejpam-1675	198	3	n	n	PROPN
ejpam-1675	198	4	d	d	PROPN
ejpam-1675	198	5	(	(	PUNCT
ejpam-1675	198	6	p+q	p+q	ADV
ejpam-1675	198	7	)	)	PUNCT
ejpam-1675	199	1	+	+	PUNCT
ejpam-1675	199	2	[	[	X
ejpam-1675	199	3	σ̂(θ̂)⊗	σ̂(θ̂)⊗	ADJ
ejpam-1675	199	4	σ̂(θ̂	σ̂(θ̂	NOUN
ejpam-1675	199	5	)	)	PUNCT
ejpam-1675	199	6	)	)	PUNCT
ejpam-1675	199	7	]	]	PUNCT
ejpam-1675	200	1	d	d	X
ejpam-1675	200	2	(	(	PUNCT
ejpam-1675	200	3	p+q	p+q	ADV
ejpam-1675	200	4	)	)	PUNCT
ejpam-1675	201	1	+	+	CCONJ
ejpam-1675	202	1	′	′	NUM
ejpam-1675	202	2			NUM
ejpam-1675	202	3			PUNCT
ejpam-1675	202	4	(	(	PUNCT
ejpam-1675	202	5	28	28	NUM
ejpam-1675	202	6	)	)	PUNCT
ejpam-1675	202	7	to	to	PART
ejpam-1675	202	8	obtain	obtain	VERB
ejpam-1675	202	9	several	several	ADJ
ejpam-1675	202	10	other	other	ADJ
ejpam-1675	202	11	new	new	ADJ
ejpam-1675	202	12	forms	form	NOUN
ejpam-1675	202	13	of	of	ADP
ejpam-1675	202	14	icom	icom	PROPN
ejpam-1675	202	15	p	p	PROPN
ejpam-1675	202	16	based	base	VERB
ejpam-1675	202	17	on	on	ADP
ejpam-1675	202	18	the	the	DET
ejpam-1675	202	19	work	work	NOUN
ejpam-1675	202	20	of	of	ADP
ejpam-1675	202	21	[	[	X
ejpam-1675	202	22	5	5	NUM
ejpam-1675	202	23	]	]	PUNCT
ejpam-1675	202	24	.	.	PUNCT
ejpam-1675	203	1	note	note	VERB
ejpam-1675	203	2	that	that	SCONJ
ejpam-1675	203	3	in	in	ADP
ejpam-1675	203	4	one	one	NUM
ejpam-1675	203	5	dimension	dimension	NOUN
ejpam-1675	203	6	equation	equation	NOUN
ejpam-1675	203	7	in	in	ADP
ejpam-1675	203	8	(	(	PUNCT
ejpam-1675	203	9	28	28	NUM
ejpam-1675	203	10	)	)	PUNCT
ejpam-1675	203	11	reduces	reduce	VERB
ejpam-1675	203	12	to	to	ADP
ejpam-1675	203	13	the	the	DET
ejpam-1675	203	14	i	i	NOUN
ejpam-1675	203	15	f	f	PROPN
ejpam-1675	204	1	i	i	PRON
ejpam-1675	204	2	m	m	VERB
ejpam-1675	204	3	of	of	ADP
ejpam-1675	204	4	the	the	DET
ejpam-1675	204	5	normal	normal	ADJ
ejpam-1675	204	6	distribution	distribution	NOUN
ejpam-1675	204	7	n(µ,σ2	n(µ,σ2	NOUN
ejpam-1675	204	8	)	)	PUNCT
ejpam-1675	204	9	given	give	VERB
ejpam-1675	204	10	by	by	ADP
ejpam-1675	204	11	f̂−1	f̂−1	PROPN
ejpam-1675	204	12	=	=	SYM
ejpam-1675	204	13	�	�	PROPN
ejpam-1675	204	14	1	1	NUM
ejpam-1675	204	15	n	n	CCONJ
ejpam-1675	204	16	σ̂2	σ̂2	NOUN
ejpam-1675	204	17	0	0	NUM
ejpam-1675	204	18	0′	0′	NUM
ejpam-1675	205	1	2	2	NUM
ejpam-1675	205	2	n	n	PRON
ejpam-1675	205	3	σ̂4	σ̂4	NOUN
ejpam-1675	205	4	�	�	PROPN
ejpam-1675	205	5	(	(	PUNCT
ejpam-1675	205	6	29	29	NUM
ejpam-1675	205	7	)	)	PUNCT
ejpam-1675	205	8	which	which	PRON
ejpam-1675	205	9	checks	check	VERB
ejpam-1675	205	10	and	and	CCONJ
ejpam-1675	205	11	shows	show	VERB
ejpam-1675	205	12	the	the	DET
ejpam-1675	205	13	correctness	correctness	NOUN
ejpam-1675	205	14	of	of	ADP
ejpam-1675	205	15	the	the	DET
ejpam-1675	205	16	formula	formula	NOUN
ejpam-1675	205	17	in	in	ADP
ejpam-1675	205	18	(	(	PUNCT
ejpam-1675	205	19	28	28	NUM
ejpam-1675	205	20	)	)	PUNCT
ejpam-1675	205	21	and	and	CCONJ
ejpam-1675	205	22	that	that	SCONJ
ejpam-1675	205	23	θ̂	θ̂	NUM
ejpam-1675	205	24	has	have	VERB
ejpam-1675	205	25	the	the	DET
ejpam-1675	205	26	consistency	consistency	NOUN
ejpam-1675	205	27	property	property	NOUN
ejpam-1675	205	28	.	.	PUNCT
ejpam-1675	206	1	in	in	ADP
ejpam-1675	206	2	(	(	PUNCT
ejpam-1675	206	3	28	28	NUM
ejpam-1675	206	4	)	)	PUNCT
ejpam-1675	206	5	,	,	PUNCT
ejpam-1675	206	6	the	the	DET
ejpam-1675	206	7	matrix	matrix	NOUN
ejpam-1675	206	8	d+p	d+p	X
ejpam-1675	206	9	is	be	AUX
ejpam-1675	206	10	the	the	DET
ejpam-1675	206	11	moore	moore	PROPN
ejpam-1675	206	12	-	-	PUNCT
ejpam-1675	206	13	penrose	penrose	PROPN
ejpam-1675	206	14	inverse	inverse	NOUN
ejpam-1675	206	15	of	of	ADP
ejpam-1675	206	16	the	the	DET
ejpam-1675	206	17	duplication	duplication	NOUN
ejpam-1675	206	18	matrix	matrix	NOUN
ejpam-1675	206	19	dp	dp	NOUN
ejpam-1675	206	20	.	.	PUNCT
ejpam-1675	207	1	the	the	DET
ejpam-1675	207	2	duplication	duplication	NOUN
ejpam-1675	207	3	matrix	matrix	NOUN
ejpam-1675	207	4	dp	dp	NOUN
ejpam-1675	207	5	is	be	AUX
ejpam-1675	207	6	a	a	DET
ejpam-1675	207	7	unique	unique	ADJ
ejpam-1675	207	8	p2×	p2×	NOUN
ejpam-1675	207	9	1	1	NUM
ejpam-1675	207	10	2	2	NUM
ejpam-1675	207	11	p	p	PROPN
ejpam-1675	207	12	�	�	PROPN
ejpam-1675	207	13	p+	p+	PART
ejpam-1675	207	14	1	1	NUM
ejpam-1675	207	15	�	�	PROPN
ejpam-1675	207	16	matrix	matrix	NOUN
ejpam-1675	207	17	,	,	PUNCT
ejpam-1675	207	18	and	and	CCONJ
ejpam-1675	207	19	so	so	ADV
ejpam-1675	207	20	its	its	PRON
ejpam-1675	207	21	moore	moore	PROPN
ejpam-1675	207	22	-	-	PUNCT
ejpam-1675	207	23	penrose	penrose	PROPN
ejpam-1675	207	24	inverse	inverse	NOUN
ejpam-1675	207	25	is	be	AUX
ejpam-1675	207	26	d+p	d+p	PROPN
ejpam-1675	207	27	=	=	SYM
ejpam-1675	207	28	�	�	PROPN
ejpam-1675	207	29	d′pdp	d′pdp	PROPN
ejpam-1675	207	30	�	�	PROPN
ejpam-1675	207	31	−1	−1	NOUN
ejpam-1675	207	32	d′p	d′p	NOUN
ejpam-1675	207	33	which	which	PRON
ejpam-1675	207	34	is	be	AUX
ejpam-1675	207	35	a	a	DET
ejpam-1675	207	36	1	1	NUM
ejpam-1675	207	37	2	2	NUM
ejpam-1675	207	38	p	p	PROPN
ejpam-1675	207	39	�	�	PROPN
ejpam-1675	207	40	p+	p+	PART
ejpam-1675	207	41	1	1	NUM
ejpam-1675	207	42	�	�	PROPN
ejpam-1675	207	43	×	×	NOUN
ejpam-1675	207	44	p2	p2	PROPN
ejpam-1675	207	45	matrix	matrix	NOUN
ejpam-1675	207	46	.	.	PUNCT
ejpam-1675	208	1	further	far	ADV
ejpam-1675	208	2	,	,	PUNCT
ejpam-1675	208	3	note	note	VERB
ejpam-1675	208	4	that	that	SCONJ
ejpam-1675	208	5	the	the	DET
ejpam-1675	208	6	duplication	duplication	NOUN
ejpam-1675	208	7	matrix	matrix	NOUN
ejpam-1675	208	8	dp	dp	NOUN
ejpam-1675	208	9	is	be	AUX
ejpam-1675	208	10	implicitly	implicitly	ADV
ejpam-1675	208	11	defined	define	VERB
ejpam-1675	208	12	by	by	ADP
ejpam-1675	208	13	dpvech(σ̂(θ̂	dpvech(σ̂(θ̂	NOUN
ejpam-1675	208	14	)	)	PUNCT
ejpam-1675	208	15	)	)	PUNCT
ejpam-1675	209	1	=	=	SYM
ejpam-1675	209	2	vec(σ̂(θ̂	vec(σ̂(θ̂	NOUN
ejpam-1675	209	3	)	)	PUNCT
ejpam-1675	209	4	)	)	PUNCT
ejpam-1675	209	5	where	where	SCONJ
ejpam-1675	209	6	vech(σ̂	vech(σ̂	NOUN
ejpam-1675	209	7	)	)	PUNCT
ejpam-1675	209	8	vectorizes	vectorize	VERB
ejpam-1675	209	9	the	the	DET
ejpam-1675	209	10	distinct	distinct	ADJ
ejpam-1675	209	11	elements	element	NOUN
ejpam-1675	209	12	of	of	ADP
ejpam-1675	209	13	σ̂	σ̂	NUM
ejpam-1675	209	14	by	by	ADP
ejpam-1675	209	15	vertically	vertically	ADV
ejpam-1675	209	16	stacking	stack	VERB
ejpam-1675	209	17	those	those	PRON
ejpam-1675	209	18	on	on	ADP
ejpam-1675	209	19	and	and	CCONJ
ejpam-1675	209	20	below	below	ADP
ejpam-1675	209	21	the	the	DET
ejpam-1675	209	22	principal	principal	ADJ
ejpam-1675	209	23	diagonal	diagonal	NOUN
ejpam-1675	209	24	.	.	PUNCT
ejpam-1675	210	1	consequently	consequently	ADV
ejpam-1675	210	2	vech(σ̂(θ̂	vech(σ̂(θ̂	NOUN
ejpam-1675	210	3	)	)	PUNCT
ejpam-1675	210	4	)	)	PUNCT
ejpam-1675	211	1	=	=	SYM
ejpam-1675	211	2	d+p	d+p	PROPN
ejpam-1675	211	3	vec(σ̂(θ̂	vec(σ̂(θ̂	NOUN
ejpam-1675	211	4	)	)	PUNCT
ejpam-1675	211	5	)	)	PUNCT
ejpam-1675	211	6	.	.	PUNCT
ejpam-1675	212	1	e.	e.	PROPN
ejpam-1675	212	2	howe	howe	PROPN
ejpam-1675	212	3	,	,	PUNCT
ejpam-1675	212	4	h.	h.	PROPN
ejpam-1675	212	5	bozdogan	bozdogan	PROPN
ejpam-1675	212	6	,	,	PUNCT
ejpam-1675	212	7	g.	g.	PROPN
ejpam-1675	212	8	kıroğlu	kıroğlu	PROPN
ejpam-1675	212	9	/	/	SYM
ejpam-1675	212	10	eur	eur	PROPN
ejpam-1675	212	11	.	.	PUNCT
ejpam-1675	213	1	j.	j.	PROPN
ejpam-1675	213	2	pure	pure	PROPN
ejpam-1675	213	3	appl	appl	PROPN
ejpam-1675	213	4	.	.	PROPN
ejpam-1675	213	5	math	math	PROPN
ejpam-1675	213	6	,	,	PUNCT
ejpam-1675	213	7	5	5	NUM
ejpam-1675	213	8	(	(	PUNCT
ejpam-1675	213	9	2012	2012	NUM
ejpam-1675	213	10	)	)	PUNCT
ejpam-1675	213	11	,	,	PUNCT
ejpam-1675	213	12	282	282	NUM
ejpam-1675	213	13	-	-	SYM
ejpam-1675	213	14	301	301	NUM
ejpam-1675	213	15	291	291	NUM
ejpam-1675	213	16	based	base	VERB
ejpam-1675	213	17	on	on	ADP
ejpam-1675	213	18	the	the	DET
ejpam-1675	213	19	above	above	ADJ
ejpam-1675	213	20	results	result	NOUN
ejpam-1675	213	21	,	,	PUNCT
ejpam-1675	213	22	we	we	PRON
ejpam-1675	213	23	establish	establish	VERB
ejpam-1675	213	24	icom	icom	PROPN
ejpam-1675	213	25	p(i	p(i	PROPN
ejpam-1675	213	26	f	f	PROPN
ejpam-1675	213	27	i	i	X
ejpam-1675	213	28	m	m	PROPN
ejpam-1675	213	29	)	)	PUNCT
ejpam-1675	213	30	for	for	ADP
ejpam-1675	213	31	the	the	DET
ejpam-1675	213	32	sem	sem	NOUN
ejpam-1675	213	33	with	with	ADP
ejpam-1675	213	34	latent	latent	NOUN
ejpam-1675	213	35	variables	variable	NOUN
ejpam-1675	213	36	given	give	VERB
ejpam-1675	213	37	by	by	ADP
ejpam-1675	213	38	icom	icom	PROPN
ejpam-1675	213	39	p(f̂−1	p(f̂−1	PROPN
ejpam-1675	213	40	)	)	PUNCT
ejpam-1675	213	41	=	=	SYM
ejpam-1675	214	1	n(p+	n(p+	PROPN
ejpam-1675	214	2	q	q	X
ejpam-1675	214	3	)	)	PUNCT
ejpam-1675	214	4	log(2π)+	log(2π)+	NOUN
ejpam-1675	214	5	n	n	X
ejpam-1675	214	6	log	log	VERB
ejpam-1675	214	7	|σ̂|+	|σ̂|+	PROPN
ejpam-1675	214	8	ntr(σ̂−1s	ntr(σ̂−1s	PROPN
ejpam-1675	214	9	)	)	PUNCT
ejpam-1675	215	1	+	+	CCONJ
ejpam-1675	215	2	2c1(f̂	2c1(f̂	NUM
ejpam-1675	215	3	−1	−1	NOUN
ejpam-1675	215	4	)	)	PUNCT
ejpam-1675	215	5	.	.	PUNCT
ejpam-1675	216	1	(	(	PUNCT
ejpam-1675	216	2	30	30	NUM
ejpam-1675	216	3	)	)	PUNCT
ejpam-1675	216	4	we	we	PRON
ejpam-1675	216	5	further	far	ADV
ejpam-1675	216	6	note	note	VERB
ejpam-1675	216	7	that	that	SCONJ
ejpam-1675	216	8	with	with	ADP
ejpam-1675	216	9	c1(f̂	c1(f̂	PROPN
ejpam-1675	216	10	−1	−1	NOUN
ejpam-1675	216	11	)	)	PUNCT
ejpam-1675	216	12	,	,	PUNCT
ejpam-1675	216	13	we	we	PRON
ejpam-1675	216	14	do	do	AUX
ejpam-1675	216	15	not	not	PART
ejpam-1675	216	16	actually	actually	ADV
ejpam-1675	216	17	need	need	VERB
ejpam-1675	216	18	to	to	PART
ejpam-1675	216	19	construct	construct	VERB
ejpam-1675	216	20	f̂−1	f̂−1	PROPN
ejpam-1675	216	21	,	,	PUNCT
ejpam-1675	216	22	since	since	SCONJ
ejpam-1675	216	23	it	it	PRON
ejpam-1675	216	24	is	be	AUX
ejpam-1675	216	25	a	a	DET
ejpam-1675	216	26	scalar	scalar	ADJ
ejpam-1675	216	27	measure	measure	NOUN
ejpam-1675	216	28	of	of	ADP
ejpam-1675	216	29	complexity	complexity	NOUN
ejpam-1675	216	30	.	.	PUNCT
ejpam-1675	217	1	as	as	SCONJ
ejpam-1675	217	2	derived	derive	VERB
ejpam-1675	217	3	in	in	ADP
ejpam-1675	217	4	[	[	X
ejpam-1675	217	5	13	13	NUM
ejpam-1675	217	6	]	]	PUNCT
ejpam-1675	217	7	,	,	PUNCT
ejpam-1675	217	8	using	use	VERB
ejpam-1675	217	9	the	the	DET
ejpam-1675	217	10	definition	definition	NOUN
ejpam-1675	217	11	of	of	ADP
ejpam-1675	217	12	complexity	complexity	NOUN
ejpam-1675	217	13	,	,	PUNCT
ejpam-1675	217	14	we	we	PRON
ejpam-1675	217	15	get	get	VERB
ejpam-1675	217	16	a	a	DET
ejpam-1675	217	17	computationally	computationally	ADV
ejpam-1675	217	18	convenient	convenient	ADJ
ejpam-1675	217	19	open	open	ADJ
ejpam-1675	217	20	form	form	NOUN
ejpam-1675	217	21	of	of	ADP
ejpam-1675	217	22	the	the	DET
ejpam-1675	217	23	expression	expression	NOUN
ejpam-1675	217	24	for	for	ADP
ejpam-1675	217	25	c1(f̂	c1(f̂	PROPN
ejpam-1675	217	26	−1	−1	NOUN
ejpam-1675	217	27	)	)	PUNCT
ejpam-1675	217	28	—	—	PUNCT
ejpam-1675	217	29	in	in	ADP
ejpam-1675	217	30	the	the	DET
ejpam-1675	217	31	sense	sense	NOUN
ejpam-1675	217	32	that	that	SCONJ
ejpam-1675	217	33	all	all	DET
ejpam-1675	217	34	the	the	DET
ejpam-1675	217	35	required	require	VERB
ejpam-1675	217	36	inputs	input	NOUN
ejpam-1675	217	37	are	be	AUX
ejpam-1675	217	38	available	available	ADJ
ejpam-1675	217	39	as	as	ADP
ejpam-1675	217	40	a	a	DET
ejpam-1675	217	41	part	part	NOUN
ejpam-1675	217	42	of	of	ADP
ejpam-1675	217	43	the	the	DET
ejpam-1675	217	44	standard	standard	ADJ
ejpam-1675	217	45	output	output	NOUN
ejpam-1675	217	46	of	of	ADP
ejpam-1675	217	47	most	most	ADJ
ejpam-1675	217	48	sem	sem	ADJ
ejpam-1675	217	49	packages	package	NOUN
ejpam-1675	217	50	—	—	PUNCT
ejpam-1675	217	51	is	be	AUX
ejpam-1675	217	52	c1(f̂	c1(f̂	PROPN
ejpam-1675	217	53	−1	−1	NOUN
ejpam-1675	217	54	)	)	PUNCT
ejpam-1675	217	55	=	=	SYM
ejpam-1675	217	56	s	s	PART
ejpam-1675	217	57	2	2	NUM
ejpam-1675	217	58	log	log	NOUN
ejpam-1675	217	59			NOUN
ejpam-1675	217	60			NOUN
ejpam-1675	217	61	1	1	NUM
ejpam-1675	217	62	n	n	NUM
ejpam-1675	217	63	t	t	NOUN
ejpam-1675	217	64	r(σ̂	r(σ̂	NOUN
ejpam-1675	217	65	)	)	PUNCT
ejpam-1675	217	66	+	+	CCONJ
ejpam-1675	217	67	1	1	NUM
ejpam-1675	217	68	2n	2n	NUM
ejpam-1675	217	69			NOUN
ejpam-1675	217	70	t	t	PROPN
ejpam-1675	217	71	r(σ̂2	r(σ̂2	PROPN
ejpam-1675	217	72	)	)	PUNCT
ejpam-1675	218	1	+	+	CCONJ
ejpam-1675	218	2	(	(	PUNCT
ejpam-1675	218	3	t	t	X
ejpam-1675	218	4	r(σ̂))2	r(σ̂))2	NOUN
ejpam-1675	218	5	+	+	CCONJ
ejpam-1675	218	6	2	2	NUM
ejpam-1675	218	7	p+q∑	p+q∑	NOUN
ejpam-1675	218	8	j=1	j=1	PROPN
ejpam-1675	218	9	�	�	PROPN
ejpam-1675	218	10	σ̂	σ̂	PROPN
ejpam-1675	218	11	j	j	PROPN
ejpam-1675	218	12	j	j	PROPN
ejpam-1675	218	13	�	�	PROPN
ejpam-1675	218	14	2	2	NUM
ejpam-1675	218	15			PROPN
ejpam-1675	218	16			PROPN
ejpam-1675	218	17	s	s	PART
ejpam-1675	218	18			PROPN
ejpam-1675	218	19			NOUN
ejpam-1675	218	20	−	−	NOUN
ejpam-1675	218	21	1	1	NUM
ejpam-1675	218	22	2	2	NUM
ejpam-1675	218	23	(	(	PUNCT
ejpam-1675	218	24	p+	p+	NOUN
ejpam-1675	218	25	q+	q+	ADP
ejpam-1675	218	26	2	2	NUM
ejpam-1675	218	27	)	)	PUNCT
ejpam-1675	218	28	log	log	PROPN
ejpam-1675	218	29	�	�	PROPN
ejpam-1675	218	30	�	�	PROPN
ejpam-1675	218	31	σ̂	σ̂	PROPN
ejpam-1675	218	32	�	�	PROPN
ejpam-1675	218	33	�	�	PROPN
ejpam-1675	218	34	+	+	CCONJ
ejpam-1675	218	35	1	1	NUM
ejpam-1675	218	36	2	2	NUM
ejpam-1675	218	37	�	�	PROPN
ejpam-1675	218	38	(	(	PUNCT
ejpam-1675	218	39	p+	p+	NOUN
ejpam-1675	218	40	q	q	X
ejpam-1675	218	41	)	)	PUNCT
ejpam-1675	218	42	+	+	CCONJ
ejpam-1675	218	43	1	1	NUM
ejpam-1675	218	44	2	2	NUM
ejpam-1675	218	45	�	�	PROPN
ejpam-1675	218	46	p+	p+	NOUN
ejpam-1675	218	47	q	q	PROPN
ejpam-1675	218	48	�	�	PROPN
ejpam-1675	218	49	�	�	PROPN
ejpam-1675	218	50	p+	p+	NOUN
ejpam-1675	218	51	q+	q+	PUNCT
ejpam-1675	218	52	1	1	NUM
ejpam-1675	218	53	�	�	PROPN
ejpam-1675	218	54	�	�	PROPN
ejpam-1675	218	55	log(n	log(n	NOUN
ejpam-1675	218	56	)	)	PUNCT
ejpam-1675	218	57	(	(	PUNCT
ejpam-1675	218	58	31	31	NUM
ejpam-1675	218	59	)	)	PUNCT
ejpam-1675	218	60	+	+	CCONJ
ejpam-1675	218	61	1	1	NUM
ejpam-1675	218	62	4	4	NUM
ejpam-1675	218	63	�	�	PROPN
ejpam-1675	218	64	p+	p+	NOUN
ejpam-1675	218	65	q	q	PROPN
ejpam-1675	218	66	�	�	PROPN
ejpam-1675	218	67	�	�	PROPN
ejpam-1675	218	68	p+	p+	PROPN
ejpam-1675	218	69	q−	q−	PROPN
ejpam-1675	218	70	1	1	NUM
ejpam-1675	218	71	�	�	PROPN
ejpam-1675	218	72	log(2	log(2	NOUN
ejpam-1675	218	73	)	)	PUNCT
ejpam-1675	218	74	,	,	PUNCT
ejpam-1675	218	75	where	where	SCONJ
ejpam-1675	218	76	s	s	VERB
ejpam-1675	218	77	=	=	SYM
ejpam-1675	218	78	dim(f̂−1	dim(f̂−1	NUM
ejpam-1675	218	79	)	)	PUNCT
ejpam-1675	218	80	=	=	NOUN
ejpam-1675	218	81	rank(f̂−1	rank(f̂−1	NOUN
ejpam-1675	218	82	)	)	PUNCT
ejpam-1675	218	83	=	=	SYM
ejpam-1675	218	84	1	1	NUM
ejpam-1675	218	85	2	2	NUM
ejpam-1675	218	86	(	(	PUNCT
ejpam-1675	218	87	p+	p+	NOUN
ejpam-1675	218	88	q)(p+	q)(p+	NOUN
ejpam-1675	218	89	q+	q+	ADP
ejpam-1675	218	90	3	3	NUM
ejpam-1675	218	91	)	)	PUNCT
ejpam-1675	218	92	.	.	PUNCT
ejpam-1675	219	1	(	(	PUNCT
ejpam-1675	219	2	32	32	NUM
ejpam-1675	219	3	)	)	PUNCT
ejpam-1675	219	4	therefore	therefore	ADV
ejpam-1675	219	5	,	,	PUNCT
ejpam-1675	219	6	c1(f̂	c1(f̂	PROPN
ejpam-1675	219	7	−1	−1	NOUN
ejpam-1675	219	8	)	)	PUNCT
ejpam-1675	219	9	avoids	avoid	VERB
ejpam-1675	219	10	the	the	DET
ejpam-1675	219	11	construction	construction	NOUN
ejpam-1675	219	12	of	of	ADP
ejpam-1675	219	13	i	i	PRON
ejpam-1675	219	14	f	f	PROPN
ejpam-1675	220	1	i	i	PRON
ejpam-1675	220	2	m	m	VERB
ejpam-1675	220	3	which	which	PRON
ejpam-1675	220	4	is	be	AUX
ejpam-1675	220	5	very	very	ADV
ejpam-1675	220	6	attractive	attractive	ADJ
ejpam-1675	220	7	.	.	PUNCT
ejpam-1675	221	1	this	this	PRON
ejpam-1675	221	2	shows	show	VERB
ejpam-1675	221	3	the	the	DET
ejpam-1675	221	4	scalability	scalability	NOUN
ejpam-1675	221	5	properties	property	NOUN
ejpam-1675	221	6	of	of	ADP
ejpam-1675	221	7	the	the	DET
ejpam-1675	221	8	icom	icom	PROPN
ejpam-1675	221	9	p	p	PROPN
ejpam-1675	221	10	criterion	criterion	NOUN
ejpam-1675	221	11	.	.	PUNCT
ejpam-1675	222	1	the	the	DET
ejpam-1675	222	2	other	other	ADJ
ejpam-1675	222	3	new	new	ADJ
ejpam-1675	222	4	forms	form	NOUN
ejpam-1675	222	5	of	of	ADP
ejpam-1675	222	6	icom	icom	PROPN
ejpam-1675	222	7	p	p	PROPN
ejpam-1675	222	8	criteria	criterion	NOUN
ejpam-1675	222	9	for	for	ADP
ejpam-1675	222	10	sem	sem	PROPN
ejpam-1675	222	11	are	be	AUX
ejpam-1675	222	12	:	:	PUNCT
ejpam-1675	222	13	icom	icom	PROPN
ejpam-1675	222	14	p	p	PROPN
ejpam-1675	222	15	�	�	PROPN
ejpam-1675	222	16	f̂−1	f̂−1	PROPN
ejpam-1675	222	17	�	�	PROPN
ejpam-1675	222	18	peu	peu	PROPN
ejpam-1675	222	19	=	=	PROPN
ejpam-1675	222	20	n(p+	n(p+	PROPN
ejpam-1675	222	21	q	q	X
ejpam-1675	222	22	)	)	PUNCT
ejpam-1675	222	23	log(2π)+	log(2π)+	NOUN
ejpam-1675	222	24	n	n	X
ejpam-1675	222	25	log	log	VERB
ejpam-1675	222	26	|σ̂|+	|σ̂|+	PROPN
ejpam-1675	222	27	ntr(σ̂−1s	ntr(σ̂−1s	PROPN
ejpam-1675	222	28	)	)	PUNCT
ejpam-1675	222	29	+	+	CCONJ
ejpam-1675	223	1	3k+	3k+	NUM
ejpam-1675	223	2	2c1(f̂	2c1(f̂	NUM
ejpam-1675	223	3	−1	−1	NOUN
ejpam-1675	223	4	)	)	PUNCT
ejpam-1675	223	5	,	,	PUNCT
ejpam-1675	223	6	(	(	PUNCT
ejpam-1675	223	7	33	33	NUM
ejpam-1675	223	8	)	)	PUNCT
ejpam-1675	223	9	and	and	CCONJ
ejpam-1675	223	10	icom	icom	PROPN
ejpam-1675	223	11	p	p	PROPN
ejpam-1675	223	12	�	�	PROPN
ejpam-1675	223	13	f̂−1	f̂−1	PROPN
ejpam-1675	223	14	�	�	PROPN
ejpam-1675	223	15	peu_miss	peu_miss	VERB
ejpam-1675	223	16	=	=	NOUN
ejpam-1675	223	17	n(p+	n(p+	PROPN
ejpam-1675	223	18	q	q	NOUN
ejpam-1675	223	19	)	)	PUNCT
ejpam-1675	223	20	log(2π)+	log(2π)+	PRON
ejpam-1675	223	21	n	n	X
ejpam-1675	223	22	log	log	VERB
ejpam-1675	223	23	|σ̂|+	|σ̂|+	PROPN
ejpam-1675	223	24	ntr(σ̂−1s	ntr(σ̂−1s	PROPN
ejpam-1675	223	25	)	)	PUNCT
ejpam-1675	224	1	+	+	CCONJ
ejpam-1675	224	2	k	k	X
ejpam-1675	224	3	(	(	PUNCT
ejpam-1675	224	4	34	34	NUM
ejpam-1675	224	5	)	)	PUNCT
ejpam-1675	224	6	+	+	CCONJ
ejpam-1675	224	7	2	2	X
ejpam-1675	224	8	(	(	PUNCT
ejpam-1675	224	9	nk	nk	PROPN
ejpam-1675	224	10	n−	n−	PROPN
ejpam-1675	224	11	k−	k−	PROPN
ejpam-1675	224	12	2	2	NUM
ejpam-1675	224	13	)	)	PUNCT
ejpam-1675	225	1	+	+	CCONJ
ejpam-1675	225	2	2c1(f̂	2c1(f̂	NUM
ejpam-1675	225	3	−1	−1	NOUN
ejpam-1675	225	4	)	)	PUNCT
ejpam-1675	225	5	.	.	PUNCT
ejpam-1675	226	1	the	the	DET
ejpam-1675	226	2	consistent	consistent	NOUN
ejpam-1675	226	3	and	and	CCONJ
ejpam-1675	226	4	misspecification	misspecification	NOUN
ejpam-1675	226	5	and	and	CCONJ
ejpam-1675	226	6	robust	robust	ADJ
ejpam-1675	226	7	forms	form	NOUN
ejpam-1675	226	8	of	of	ADP
ejpam-1675	226	9	icom	icom	PROPN
ejpam-1675	226	10	p	p	NOUN
ejpam-1675	226	11	-	-	PUNCT
ejpam-1675	226	12	type	type	NOUN
ejpam-1675	226	13	criteria	criterion	NOUN
ejpam-1675	226	14	are	be	AUX
ejpam-1675	226	15	obtained	obtain	VERB
ejpam-1675	226	16	in	in	ADP
ejpam-1675	226	17	a	a	DET
ejpam-1675	226	18	similar	similar	ADJ
ejpam-1675	226	19	fashion	fashion	NOUN
ejpam-1675	226	20	which	which	PRON
ejpam-1675	226	21	are	be	AUX
ejpam-1675	226	22	given	give	VERB
ejpam-1675	226	23	by	by	ADP
ejpam-1675	226	24	c	c	PROPN
ejpam-1675	226	25	icom	icom	PROPN
ejpam-1675	226	26	p(f̂−1)peu	p(f̂−1)peu	PROPN
ejpam-1675	226	27	=	=	SYM
ejpam-1675	226	28	n(p+q	n(p+q	PROPN
ejpam-1675	226	29	)	)	PUNCT
ejpam-1675	226	30	log(2π)+	log(2π)+	PRON
ejpam-1675	226	31	n	n	PRON
ejpam-1675	226	32	log	log	VERB
ejpam-1675	226	33	|σ̂|+	|σ̂|+	PROPN
ejpam-1675	226	34	ntr(σ̂−1s)+	ntr(σ̂−1s)+	PROPN
ejpam-1675	226	35	k(1	k(1	PROPN
ejpam-1675	226	36	+	+	PROPN
ejpam-1675	226	37	2	2	NUM
ejpam-1675	226	38	log(n))+2c1(f̂	log(n))+2c1(f̂	PROPN
ejpam-1675	226	39	−1	−1	NOUN
ejpam-1675	226	40	)	)	PUNCT
ejpam-1675	226	41	,	,	PUNCT
ejpam-1675	226	42	(	(	PUNCT
ejpam-1675	226	43	35	35	NUM
ejpam-1675	226	44	)	)	PUNCT
ejpam-1675	226	45	and	and	CCONJ
ejpam-1675	226	46	c	c	PROPN
ejpam-1675	226	47	icom	icom	PROPN
ejpam-1675	226	48	p(f̂−1)peu_miss	p(f̂−1)peu_miss	PROPN
ejpam-1675	226	49	=	=	PROPN
ejpam-1675	226	50	n(p+	n(p+	PROPN
ejpam-1675	226	51	q	q	ADJ
ejpam-1675	226	52	)	)	PUNCT
ejpam-1675	226	53	log(2π	log(2π	NOUN
ejpam-1675	226	54	)	)	PUNCT
ejpam-1675	227	1	+	+	CCONJ
ejpam-1675	227	2	n	n	CCONJ
ejpam-1675	227	3	log	log	VERB
ejpam-1675	227	4	|σ̂|+	|σ̂|+	PROPN
ejpam-1675	227	5	ntr(σ̂−1s	ntr(σ̂−1s	PROPN
ejpam-1675	227	6	)	)	PUNCT
ejpam-1675	228	1	+	+	CCONJ
ejpam-1675	228	2	k	k	X
ejpam-1675	228	3	(	(	PUNCT
ejpam-1675	228	4	36	36	NUM
ejpam-1675	228	5	)	)	PUNCT
ejpam-1675	228	6	+	+	CCONJ
ejpam-1675	228	7	2	2	NUM
ejpam-1675	228	8	log	log	NOUN
ejpam-1675	228	9	�	�	PROPN
ejpam-1675	228	10	nk	nk	PROPN
ejpam-1675	228	11	n−	n−	PROPN
ejpam-1675	228	12	k−	k−	PROPN
ejpam-1675	228	13	2	2	NUM
ejpam-1675	228	14	�	�	PROPN
ejpam-1675	228	15	+	+	CCONJ
ejpam-1675	228	16	2c1(f̂	2c1(f̂	NUM
ejpam-1675	228	17	−1	−1	NOUN
ejpam-1675	228	18	)	)	PUNCT
ejpam-1675	228	19	.	.	PUNCT
ejpam-1675	229	1	e.	e.	PROPN
ejpam-1675	229	2	howe	howe	PROPN
ejpam-1675	229	3	,	,	PUNCT
ejpam-1675	229	4	h.	h.	PROPN
ejpam-1675	229	5	bozdogan	bozdogan	PROPN
ejpam-1675	229	6	,	,	PUNCT
ejpam-1675	229	7	g.	g.	PROPN
ejpam-1675	229	8	kıroğlu	kıroğlu	PROPN
ejpam-1675	229	9	/	/	SYM
ejpam-1675	229	10	eur	eur	PROPN
ejpam-1675	229	11	.	.	PUNCT
ejpam-1675	230	1	j.	j.	PROPN
ejpam-1675	230	2	pure	pure	PROPN
ejpam-1675	230	3	appl	appl	PROPN
ejpam-1675	230	4	.	.	PROPN
ejpam-1675	230	5	math	math	PROPN
ejpam-1675	230	6	,	,	PUNCT
ejpam-1675	230	7	5	5	NUM
ejpam-1675	230	8	(	(	PUNCT
ejpam-1675	230	9	2012	2012	NUM
ejpam-1675	230	10	)	)	PUNCT
ejpam-1675	230	11	,	,	PUNCT
ejpam-1675	230	12	282	282	NUM
ejpam-1675	230	13	-	-	SYM
ejpam-1675	230	14	301	301	NUM
ejpam-1675	230	15	292	292	NUM
ejpam-1675	230	16	note	note	NOUN
ejpam-1675	230	17	that	that	SCONJ
ejpam-1675	230	18	these	these	DET
ejpam-1675	230	19	two	two	NUM
ejpam-1675	230	20	above	above	ADP
ejpam-1675	230	21	forms	form	NOUN
ejpam-1675	230	22	of	of	ADP
ejpam-1675	230	23	icom	icom	PROPN
ejpam-1675	230	24	p	p	PROPN
ejpam-1675	230	25	criteria	criterion	NOUN
ejpam-1675	230	26	are	be	AUX
ejpam-1675	230	27	both	both	ADV
ejpam-1675	230	28	consistent	consistent	ADJ
ejpam-1675	230	29	and	and	CCONJ
ejpam-1675	230	30	misspecification	misspecification	NOUN
ejpam-1675	230	31	resistant	resistant	ADJ
ejpam-1675	230	32	.	.	PUNCT
ejpam-1675	231	1	comparing	compare	VERB
ejpam-1675	231	2	aic	aic	PROPN
ejpam-1675	231	3	,	,	PUNCT
ejpam-1675	231	4	caic	caic	PROPN
ejpam-1675	231	5	,	,	PUNCT
ejpam-1675	231	6	caic	caic	PROPN
ejpam-1675	231	7	f	f	PROPN
ejpam-1675	231	8	,	,	PUNCT
ejpam-1675	231	9	bms	bms	PROPN
ejpam-1675	231	10	,	,	PUNCT
ejpam-1675	231	11	and	and	CCONJ
ejpam-1675	231	12	the	the	DET
ejpam-1675	231	13	different	different	ADJ
ejpam-1675	231	14	forms	form	NOUN
ejpam-1675	231	15	of	of	ADP
ejpam-1675	231	16	icom	icom	PROPN
ejpam-1675	231	17	p	p	ADJ
ejpam-1675	231	18	-	-	PUNCT
ejpam-1675	231	19	type	type	NOUN
ejpam-1675	231	20	criteria	criterion	NOUN
ejpam-1675	231	21	,	,	PUNCT
ejpam-1675	231	22	we	we	PRON
ejpam-1675	231	23	see	see	VERB
ejpam-1675	231	24	that	that	SCONJ
ejpam-1675	231	25	the	the	DET
ejpam-1675	231	26	difference	difference	NOUN
ejpam-1675	231	27	between	between	ADP
ejpam-1675	231	28	these	these	DET
ejpam-1675	231	29	criteria	criterion	NOUN
ejpam-1675	231	30	are	be	AUX
ejpam-1675	231	31	in	in	ADP
ejpam-1675	231	32	their	their	PRON
ejpam-1675	231	33	penalty	penalty	NOUN
ejpam-1675	231	34	terms	term	NOUN
ejpam-1675	231	35	.	.	PUNCT
ejpam-1675	232	1	for	for	ADP
ejpam-1675	232	2	convenience	convenience	NOUN
ejpam-1675	232	3	,	,	PUNCT
ejpam-1675	232	4	we	we	PRON
ejpam-1675	232	5	summarize	summarize	VERB
ejpam-1675	232	6	these	these	DET
ejpam-1675	232	7	model	model	NOUN
ejpam-1675	232	8	selection	selection	NOUN
ejpam-1675	232	9	criteria	criterion	NOUN
ejpam-1675	232	10	in	in	ADP
ejpam-1675	232	11	table	table	NOUN
ejpam-1675	232	12	1	1	NUM
ejpam-1675	232	13	,	,	PUNCT
ejpam-1675	232	14	which	which	PRON
ejpam-1675	232	15	we	we	PRON
ejpam-1675	232	16	will	will	AUX
ejpam-1675	232	17	use	use	VERB
ejpam-1675	232	18	in	in	ADP
ejpam-1675	232	19	our	our	PRON
ejpam-1675	232	20	numerical	numerical	ADJ
ejpam-1675	232	21	examples	example	NOUN
ejpam-1675	232	22	.	.	PUNCT
ejpam-1675	233	1	in	in	ADP
ejpam-1675	233	2	the	the	DET
ejpam-1675	233	3	next	next	ADJ
ejpam-1675	233	4	section	section	NOUN
ejpam-1675	233	5	we	we	PRON
ejpam-1675	233	6	give	give	VERB
ejpam-1675	233	7	two	two	NUM
ejpam-1675	233	8	numerical	numerical	ADJ
ejpam-1675	233	9	examples	example	NOUN
ejpam-1675	233	10	to	to	PART
ejpam-1675	233	11	demonstrate	demonstrate	VERB
ejpam-1675	233	12	the	the	DET
ejpam-1675	233	13	performance	performance	NOUN
ejpam-1675	233	14	table	table	NOUN
ejpam-1675	233	15	1	1	NUM
ejpam-1675	233	16	:	:	PUNCT
ejpam-1675	233	17	summary	summary	NOUN
ejpam-1675	233	18	of	of	ADP
ejpam-1675	233	19	information	information	NOUN
ejpam-1675	233	20	criteria	criterion	NOUN
ejpam-1675	233	21	and	and	CCONJ
ejpam-1675	233	22	their	their	PRON
ejpam-1675	233	23	penalties	penalty	NOUN
ejpam-1675	233	24	.	.	PUNCT
ejpam-1675	234	1	information	information	NOUN
ejpam-1675	234	2	criteria	criterion	NOUN
ejpam-1675	234	3	penalty	penalty	NOUN
ejpam-1675	234	4	term	term	NOUN
ejpam-1675	234	5	aic	aic	PROPN
ejpam-1675	234	6	2k	2k	PROPN
ejpam-1675	234	7	caic	caic	PROPN
ejpam-1675	234	8	k	k	PROPN
ejpam-1675	234	9	�	�	PROPN
ejpam-1675	234	10	log(n)+	log(n)+	PROPN
ejpam-1675	234	11	1	1	NUM
ejpam-1675	234	12	�	�	PROPN
ejpam-1675	234	13	caic	caic	PROPN
ejpam-1675	234	14	f	f	PROPN
ejpam-1675	234	15	k	k	PROPN
ejpam-1675	234	16	�	�	PROPN
ejpam-1675	234	17	log(n)+	log(n)+	PROPN
ejpam-1675	234	18	2	2	NUM
ejpam-1675	234	19	�	�	NOUN
ejpam-1675	234	20	+	+	CCONJ
ejpam-1675	234	21	log	log	VERB
ejpam-1675	234	22	|f̂	|f̂	ADP
ejpam-1675	234	23	|	|	ADV
ejpam-1675	234	24	bms	bms	PROPN
ejpam-1675	234	25	k	k	PROPN
ejpam-1675	234	26	log(n)+	log(n)+	PROPN
ejpam-1675	234	27	(	(	PUNCT
ejpam-1675	234	28	nk	nk	PROPN
ejpam-1675	234	29	n−k−2	n−k−2	PROPN
ejpam-1675	234	30	)	)	PUNCT
ejpam-1675	235	1	+	+	CCONJ
ejpam-1675	235	2	log	log	VERB
ejpam-1675	235	3	|f̂	|f̂	ADV
ejpam-1675	235	4	|	|	ADV
ejpam-1675	235	5	icom	icom	X
ejpam-1675	235	6	p	p	PROPN
ejpam-1675	235	7	2c1(σ̂(θ̂	2c1(σ̂(θ̂	NUM
ejpam-1675	235	8	)	)	PUNCT
ejpam-1675	235	9	)	)	PUNCT
ejpam-1675	236	1	icom	icom	PROPN
ejpam-1675	237	1	p(i	p(i	PROPN
ejpam-1675	237	2	f	f	PROPN
ejpam-1675	237	3	i	i	PRON
ejpam-1675	237	4	m	m	PROPN
ejpam-1675	237	5	)	)	PUNCT
ejpam-1675	237	6	2c1(f̂	2c1(f̂	NUM
ejpam-1675	237	7	−1	−1	NOUN
ejpam-1675	237	8	)	)	PUNCT
ejpam-1675	237	9	c	c	PROPN
ejpam-1675	237	10	icom	icom	PROPN
ejpam-1675	237	11	p(i	p(i	PROPN
ejpam-1675	237	12	f	f	PROPN
ejpam-1675	237	13	im)peu	im)peu	VERB
ejpam-1675	237	14	k(1	k(1	PROPN
ejpam-1675	237	15	+	+	CCONJ
ejpam-1675	237	16	2	2	NUM
ejpam-1675	237	17	log(n))+	log(n))+	NOUN
ejpam-1675	237	18	2c1(f̂	2c1(f̂	NUM
ejpam-1675	237	19	−1	−1	NOUN
ejpam-1675	237	20	)	)	PUNCT
ejpam-1675	237	21	c	c	PROPN
ejpam-1675	237	22	icom	icom	PROPN
ejpam-1675	237	23	p(i	p(i	PROPN
ejpam-1675	237	24	f	f	PROPN
ejpam-1675	237	25	im)peu_miss	im)peu_miss	CCONJ
ejpam-1675	237	26	k+	k+	X
ejpam-1675	237	27	2	2	NUM
ejpam-1675	237	28	log	log	NOUN
ejpam-1675	237	29	�	�	PROPN
ejpam-1675	237	30	nk	nk	PROPN
ejpam-1675	237	31	n−k−2	n−k−2	PROPN
ejpam-1675	237	32	�	�	PROPN
ejpam-1675	237	33	+	+	CCONJ
ejpam-1675	237	34	2c1(f̂	2c1(f̂	NUM
ejpam-1675	237	35	−1	−1	NOUN
ejpam-1675	237	36	)	)	PUNCT
ejpam-1675	237	37	of	of	ADP
ejpam-1675	237	38	these	these	DET
ejpam-1675	237	39	information	information	NOUN
ejpam-1675	237	40	criteria	criterion	NOUN
ejpam-1675	237	41	in	in	ADP
ejpam-1675	237	42	sem	sem	PROPN
ejpam-1675	237	43	.	.	PROPN
ejpam-1675	238	1	5	5	NUM
ejpam-1675	238	2	.	.	X
ejpam-1675	238	3	numerical	numerical	PROPN
ejpam-1675	238	4	results	result	NOUN
ejpam-1675	238	5	5.1	5.1	NUM
ejpam-1675	238	6	.	.	PUNCT
ejpam-1675	239	1	a	a	DET
ejpam-1675	239	2	large	large	ADJ
ejpam-1675	239	3	scale	scale	NOUN
ejpam-1675	239	4	monte	monte	PROPN
ejpam-1675	239	5	carlo	carlo	PROPN
ejpam-1675	239	6	simulation	simulation	PROPN
ejpam-1675	239	7	study	study	NOUN
ejpam-1675	239	8	in	in	ADP
ejpam-1675	239	9	this	this	DET
ejpam-1675	239	10	simulation	simulation	NOUN
ejpam-1675	239	11	study	study	NOUN
ejpam-1675	239	12	,	,	PUNCT
ejpam-1675	239	13	we	we	PRON
ejpam-1675	239	14	used	use	VERB
ejpam-1675	239	15	the	the	DET
ejpam-1675	239	16	widely	widely	ADV
ejpam-1675	239	17	known	know	VERB
ejpam-1675	239	18	general	general	ADJ
ejpam-1675	239	19	sem	sem	PROPN
ejpam-1675	239	20	simulation	simulation	NOUN
ejpam-1675	239	21	protocol	protocol	NOUN
ejpam-1675	239	22	given	give	VERB
ejpam-1675	239	23	in	in	ADP
ejpam-1675	239	24	[	[	X
ejpam-1675	239	25	15	15	NUM
ejpam-1675	239	26	]	]	PUNCT
ejpam-1675	239	27	.	.	PUNCT
ejpam-1675	240	1	this	this	DET
ejpam-1675	240	2	model	model	NOUN
ejpam-1675	240	3	is	be	AUX
ejpam-1675	240	4	formed	form	VERB
ejpam-1675	240	5	from	from	ADP
ejpam-1675	240	6	1	1	NUM
ejpam-1675	240	7	latent	latent	NOUN
ejpam-1675	240	8	exogenous	exogenous	ADJ
ejpam-1675	240	9	variable	variable	NOUN
ejpam-1675	240	10	,	,	PUNCT
ejpam-1675	240	11	2	2	NUM
ejpam-1675	240	12	latent	latent	NOUN
ejpam-1675	240	13	endogenous	endogenous	ADJ
ejpam-1675	240	14	variables	variable	NOUN
ejpam-1675	240	15	,	,	PUNCT
ejpam-1675	240	16	2	2	NUM
ejpam-1675	240	17	observed	observe	VERB
ejpam-1675	240	18	exogenous	exogenous	ADJ
ejpam-1675	240	19	variables	variable	NOUN
ejpam-1675	240	20	,	,	PUNCT
ejpam-1675	240	21	and	and	CCONJ
ejpam-1675	240	22	4	4	NUM
ejpam-1675	240	23	observed	observe	VERB
ejpam-1675	240	24	endogenous	endogenous	ADJ
ejpam-1675	240	25	variables	variable	NOUN
ejpam-1675	240	26	.	.	PUNCT
ejpam-1675	241	1	we	we	PRON
ejpam-1675	241	2	slightly	slightly	ADV
ejpam-1675	241	3	modify	modify	VERB
ejpam-1675	241	4	the	the	DET
ejpam-1675	241	5	structure	structure	NOUN
ejpam-1675	241	6	of	of	ADP
ejpam-1675	241	7	[	[	X
ejpam-1675	241	8	15	15	NUM
ejpam-1675	241	9	]	]	PUNCT
ejpam-1675	241	10	in	in	ADP
ejpam-1675	241	11	θε	θε	NOUN
ejpam-1675	241	12	matrix	matrix	NOUN
ejpam-1675	241	13	to	to	PART
ejpam-1675	241	14	achieve	achieve	VERB
ejpam-1675	241	15	convergence	convergence	NOUN
ejpam-1675	241	16	in	in	ADP
ejpam-1675	241	17	lisrel	lisrel	NOUN
ejpam-1675	241	18	.	.	PUNCT
ejpam-1675	242	1	we	we	PRON
ejpam-1675	242	2	generated	generate	VERB
ejpam-1675	242	3	500	500	NUM
ejpam-1675	242	4	sample	sample	NOUN
ejpam-1675	242	5	covariance	covariance	NOUN
ejpam-1675	242	6	matrices	matrix	NOUN
ejpam-1675	242	7	for	for	ADP
ejpam-1675	242	8	four	four	NUM
ejpam-1675	242	9	sample	sample	NOUN
ejpam-1675	242	10	sizes	size	NOUN
ejpam-1675	242	11	(	(	PUNCT
ejpam-1675	242	12	100	100	NUM
ejpam-1675	242	13	,	,	PUNCT
ejpam-1675	242	14	400	400	NUM
ejpam-1675	242	15	,	,	PUNCT
ejpam-1675	242	16	1000	1000	NUM
ejpam-1675	242	17	,	,	PUNCT
ejpam-1675	242	18	and	and	CCONJ
ejpam-1675	242	19	4000	4000	NUM
ejpam-1675	242	20	)	)	PUNCT
ejpam-1675	242	21	.	.	PUNCT
ejpam-1675	243	1	each	each	DET
ejpam-1675	243	2	sample	sample	NOUN
ejpam-1675	243	3	covariance	covariance	NOUN
ejpam-1675	243	4	matrix	matrix	NOUN
ejpam-1675	243	5	was	be	AUX
ejpam-1675	243	6	analyzed	analyze	VERB
ejpam-1675	243	7	for	for	ADP
ejpam-1675	243	8	each	each	PRON
ejpam-1675	243	9	of	of	ADP
ejpam-1675	243	10	the	the	DET
ejpam-1675	243	11	three	three	NUM
ejpam-1675	243	12	analytic	analytic	ADJ
ejpam-1675	243	13	models	model	NOUN
ejpam-1675	243	14	given	give	VERB
ejpam-1675	243	15	below	below	ADP
ejpam-1675	243	16	using	use	VERB
ejpam-1675	243	17	lisrel	lisrel	NOUN
ejpam-1675	243	18	.	.	PUNCT
ejpam-1675	244	1	figure	figure	NOUN
ejpam-1675	244	2	1	1	NUM
ejpam-1675	244	3	shows	show	VERB
ejpam-1675	244	4	the	the	DET
ejpam-1675	244	5	population	population	NOUN
ejpam-1675	244	6	parameters	parameter	NOUN
ejpam-1675	244	7	of	of	ADP
ejpam-1675	244	8	the	the	DET
ejpam-1675	244	9	model	model	NOUN
ejpam-1675	244	10	and	and	CCONJ
ejpam-1675	244	11	the	the	DET
ejpam-1675	244	12	path	path	NOUN
ejpam-1675	244	13	diagram	diagram	NOUN
ejpam-1675	244	14	as	as	SCONJ
ejpam-1675	244	15	expressed	express	VERB
ejpam-1675	244	16	in	in	ADP
ejpam-1675	244	17	lisrel	lisrel	NOUN
ejpam-1675	244	18	notation	notation	NOUN
ejpam-1675	244	19	,	,	PUNCT
ejpam-1675	244	20	with	with	ADP
ejpam-1675	244	21	parameters	parameter	NOUN
ejpam-1675	244	22	shown	show	VERB
ejpam-1675	244	23	here	here	ADV
ejpam-1675	244	24	.	.	PUNCT
ejpam-1675	245	1	λx	λx	PROPN
ejpam-1675	245	2	=	=	SYM
ejpam-1675	245	3	�	�	PROPN
ejpam-1675	245	4	1.00	1.00	NUM
ejpam-1675	245	5	0.50	0.50	NUM
ejpam-1675	245	6	�	�	PROPN
ejpam-1675	245	7	,	,	PUNCT
ejpam-1675	245	8	λy	λy	PROPN
ejpam-1675	245	9	=	=	NOUN
ejpam-1675	245	10			VERB
ejpam-1675	245	11			NOUN
ejpam-1675	245	12	1.00	1.00	NUM
ejpam-1675	245	13	0	0	NUM
ejpam-1675	245	14	0.95	0.95	NUM
ejpam-1675	245	15	0	0	NUM
ejpam-1675	245	16	0	0	NUM
ejpam-1675	245	17	1.00	1.00	NUM
ejpam-1675	245	18	0	0	NUM
ejpam-1675	245	19	0.90	0.90	NUM
ejpam-1675	245	20			PROPN
ejpam-1675	245	21			NOUN
ejpam-1675	245	22	,	,	PUNCT
ejpam-1675	245	23	γ	γ	X
ejpam-1675	245	24	=	=	SYM
ejpam-1675	245	25	�	�	PROPN
ejpam-1675	245	26	−0.60	−0.60	PUNCT
ejpam-1675	245	27	−0.25	−0.25	PROPN
ejpam-1675	245	28	�	�	PROPN
ejpam-1675	245	29	,	,	PUNCT
ejpam-1675	245	30	φ	φ	PROPN
ejpam-1675	245	31	=	=	SYM
ejpam-1675	245	32	�	�	PROPN
ejpam-1675	245	33	7	7	NUM
ejpam-1675	245	34	�	�	PROPN
ejpam-1675	245	35	,	,	PUNCT
ejpam-1675	245	36	b	b	X
ejpam-1675	245	37	=	=	SYM
ejpam-1675	245	38	�	�	PROPN
ejpam-1675	245	39	0	0	NUM
ejpam-1675	245	40	0	0	NUM
ejpam-1675	245	41	0.60	0.60	NUM
ejpam-1675	245	42	0	0	NUM
ejpam-1675	245	43	�	�	PROPN
ejpam-1675	245	44	,	,	PUNCT
ejpam-1675	245	45	ψ	ψ	X
ejpam-1675	245	46	=	=	PUNCT
ejpam-1675	245	47	�	�	PROPN
ejpam-1675	245	48	5.00	5.00	NUM
ejpam-1675	245	49	0	0	NUM
ejpam-1675	245	50	0	0	NUM
ejpam-1675	245	51	4.00	4.00	NUM
ejpam-1675	245	52	�	�	NOUN
ejpam-1675	245	53	,	,	PUNCT
ejpam-1675	245	54	θδ	θδ	ADP
ejpam-1675	245	55	=	=	SYM
ejpam-1675	245	56	�	�	PROPN
ejpam-1675	245	57	3.00	3.00	NUM
ejpam-1675	245	58	0	0	NUM
ejpam-1675	245	59	0	0	NUM
ejpam-1675	245	60	2.50	2.50	NUM
ejpam-1675	245	61	�	�	NOUN
ejpam-1675	245	62	,	,	PUNCT
ejpam-1675	245	63	θε	θε	NOUN
ejpam-1675	245	64	=	=	NOUN
ejpam-1675	245	65			VERB
ejpam-1675	245	66			NOUN
ejpam-1675	245	67	3.00	3.00	NUM
ejpam-1675	245	68	0	0	NUM
ejpam-1675	245	69	0	0	NUM
ejpam-1675	245	70	0	0	NUM
ejpam-1675	245	71	0	0	NUM
ejpam-1675	245	72	3.00	3.00	NUM
ejpam-1675	245	73	0	0	NUM
ejpam-1675	245	74	0	0	NUM
ejpam-1675	245	75	0	0	NUM
ejpam-1675	245	76	0	0	NUM
ejpam-1675	245	77	4.00	4.00	NUM
ejpam-1675	245	78	0	0	NUM
ejpam-1675	245	79	0	0	NUM
ejpam-1675	245	80	0	0	NUM
ejpam-1675	245	81	0	0	NUM
ejpam-1675	245	82	4.00	4.00	NUM
ejpam-1675	245	83			PROPN
ejpam-1675	245	84			PROPN
ejpam-1675	245	85	e.	e.	PROPN
ejpam-1675	245	86	howe	howe	PROPN
ejpam-1675	245	87	,	,	PUNCT
ejpam-1675	245	88	h.	h.	PROPN
ejpam-1675	245	89	bozdogan	bozdogan	PROPN
ejpam-1675	245	90	,	,	PUNCT
ejpam-1675	245	91	g.	g.	PROPN
ejpam-1675	245	92	kıroğlu	kıroğlu	PROPN
ejpam-1675	245	93	/	/	SYM
ejpam-1675	245	94	eur	eur	PROPN
ejpam-1675	245	95	.	.	PUNCT
ejpam-1675	246	1	j.	j.	PROPN
ejpam-1675	246	2	pure	pure	PROPN
ejpam-1675	246	3	appl	appl	PROPN
ejpam-1675	246	4	.	.	PROPN
ejpam-1675	246	5	math	math	PROPN
ejpam-1675	246	6	,	,	PUNCT
ejpam-1675	246	7	5	5	NUM
ejpam-1675	246	8	(	(	PUNCT
ejpam-1675	246	9	2012	2012	NUM
ejpam-1675	246	10	)	)	PUNCT
ejpam-1675	246	11	,	,	PUNCT
ejpam-1675	246	12	282	282	NUM
ejpam-1675	246	13	-	-	SYM
ejpam-1675	246	14	301	301	NUM
ejpam-1675	246	15	293	293	NUM
ejpam-1675	246	16	once	once	SCONJ
ejpam-1675	246	17	the	the	DET
ejpam-1675	246	18	model	model	NOUN
ejpam-1675	246	19	parameters	parameter	NOUN
ejpam-1675	246	20	are	be	AUX
ejpam-1675	246	21	specified	specify	VERB
ejpam-1675	246	22	,	,	PUNCT
ejpam-1675	246	23	the	the	DET
ejpam-1675	246	24	implied	imply	VERB
ejpam-1675	246	25	population	population	NOUN
ejpam-1675	246	26	covariance	covariance	NOUN
ejpam-1675	246	27	matrix	matrix	NOUN
ejpam-1675	246	28	is	be	AUX
ejpam-1675	246	29	obfigure	obfigure	ADJ
ejpam-1675	246	30	1	1	NUM
ejpam-1675	246	31	:	:	PUNCT
ejpam-1675	246	32	true	true	ADJ
ejpam-1675	246	33	model	model	NOUN
ejpam-1675	246	34	with	with	ADP
ejpam-1675	246	35	population	population	NOUN
ejpam-1675	246	36	parameters	parameter	NOUN
ejpam-1675	246	37	and	and	CCONJ
ejpam-1675	246	38	model	model	NOUN
ejpam-1675	246	39	spe	spe	PROPN
ejpam-1675	246	40	i	i	PROPN
ejpam-1675	246	41	�	�	PROPN
ejpam-1675	246	42	ation	ation	PROPN
ejpam-1675	246	43	onditions	ondition	NOUN
ejpam-1675	246	44	.	.	PUNCT
ejpam-1675	247	1	tained	taine	VERB
ejpam-1675	247	2	through	through	ADP
ejpam-1675	247	3	equation	equation	NOUN
ejpam-1675	247	4	(	(	PUNCT
ejpam-1675	247	5	5	5	NUM
ejpam-1675	247	6	)	)	PUNCT
ejpam-1675	247	7	.	.	PUNCT
ejpam-1675	248	1	for	for	ADP
ejpam-1675	248	2	the	the	DET
ejpam-1675	248	3	analysis	analysis	NOUN
ejpam-1675	248	4	of	of	ADP
ejpam-1675	248	5	this	this	DET
ejpam-1675	248	6	covariance	covariance	NOUN
ejpam-1675	248	7	matrix	matrix	NOUN
ejpam-1675	248	8	,	,	PUNCT
ejpam-1675	248	9	we	we	PRON
ejpam-1675	248	10	used	use	VERB
ejpam-1675	248	11	three	three	NUM
ejpam-1675	248	12	different	different	ADJ
ejpam-1675	248	13	analytic	analytic	ADJ
ejpam-1675	248	14	models	model	NOUN
ejpam-1675	248	15	,	,	PUNCT
ejpam-1675	248	16	given	give	VERB
ejpam-1675	248	17	below	below	ADP
ejpam-1675	248	18	.	.	PUNCT
ejpam-1675	249	1	•	•	NOUN
ejpam-1675	249	2	overfitting	overfitte	VERB
ejpam-1675	249	3	model	model	NOUN
ejpam-1675	249	4	:	:	PUNCT
ejpam-1675	249	5	am1	am1	PROPN
ejpam-1675	249	6	(	(	PUNCT
ejpam-1675	249	7	15	15	NUM
ejpam-1675	249	8	free	free	ADJ
ejpam-1675	249	9	parameters	parameter	NOUN
ejpam-1675	249	10	)	)	PUNCT
ejpam-1675	249	11	λx	λx	NOUN
ejpam-1675	249	12	(	(	PUNCT
ejpam-1675	249	13	1,1	1,1	NUM
ejpam-1675	249	14	)	)	PUNCT
ejpam-1675	249	15	=	=	SYM
ejpam-1675	250	1	λy(1,1	λy(1,1	ADJ
ejpam-1675	250	2	)	)	PUNCT
ejpam-1675	250	3	=	=	SYM
ejpam-1675	250	4	λx	λx	NOUN
ejpam-1675	250	5	(	(	PUNCT
ejpam-1675	250	6	3,2	3,2	NUM
ejpam-1675	250	7	)	)	PUNCT
ejpam-1675	250	8	=	=	SYM
ejpam-1675	250	9	1	1	NUM
ejpam-1675	250	10	γ	γ	X
ejpam-1675	250	11	,	,	PUNCT
ejpam-1675	250	12	φ	φ	PROPN
ejpam-1675	250	13	,	,	PUNCT
ejpam-1675	250	14	b	b	PROPN
ejpam-1675	250	15	,	,	PUNCT
ejpam-1675	250	16	ψ	ψ	NOUN
ejpam-1675	250	17	,	,	PUNCT
ejpam-1675	250	18	θδ	θδ	ADP
ejpam-1675	250	19	,	,	PUNCT
ejpam-1675	250	20	θε	θε	NOUN
ejpam-1675	250	21	are	be	AUX
ejpam-1675	250	22	estimated	estimate	VERB
ejpam-1675	250	23	freely	freely	ADV
ejpam-1675	250	24	λx	λx	PROPN
ejpam-1675	250	25	=	=	SYM
ejpam-1675	250	26	�	�	PROPN
ejpam-1675	250	27	1.00	1.00	NUM
ejpam-1675	250	28	λ1	λ1	PROPN
ejpam-1675	250	29	�	�	PROPN
ejpam-1675	250	30	,	,	PUNCT
ejpam-1675	250	31	λy	λy	PROPN
ejpam-1675	250	32	=	=	NOUN
ejpam-1675	250	33			VERB
ejpam-1675	250	34			NOUN
ejpam-1675	250	35	1.00	1.00	NUM
ejpam-1675	250	36	0	0	NUM
ejpam-1675	250	37	λ2	λ2	NOUN
ejpam-1675	250	38	0	0	NUM
ejpam-1675	250	39	0	0	NUM
ejpam-1675	251	1	1.00	1.00	NUM
ejpam-1675	251	2	0	0	NUM
ejpam-1675	252	1	λ3	λ3	PROPN
ejpam-1675	252	2			PROPN
ejpam-1675	252	3			NOUN
ejpam-1675	252	4	,	,	PUNCT
ejpam-1675	252	5	γ	γ	PROPN
ejpam-1675	252	6	=	=	SYM
ejpam-1675	252	7	�	�	PROPN
ejpam-1675	252	8	γ1	γ1	PROPN
ejpam-1675	252	9	γ2	γ2	PROPN
ejpam-1675	252	10	�	�	PROPN
ejpam-1675	252	11	,	,	PUNCT
ejpam-1675	252	12	φ	φ	PROPN
ejpam-1675	252	13	=	=	PROPN
ejpam-1675	252	14	�	�	PROPN
ejpam-1675	252	15	φ	φ	PROPN
ejpam-1675	252	16	�	�	PROPN
ejpam-1675	252	17	,	,	PUNCT
ejpam-1675	252	18	b	b	X
ejpam-1675	252	19	=	=	SYM
ejpam-1675	252	20	�	�	PROPN
ejpam-1675	252	21	0	0	NUM
ejpam-1675	252	22	0	0	NUM
ejpam-1675	252	23	β	β	SYM
ejpam-1675	252	24	0	0	NUM
ejpam-1675	252	25	�	�	PROPN
ejpam-1675	252	26	,	,	PUNCT
ejpam-1675	252	27	ψ	ψ	X
ejpam-1675	252	28	=	=	SYM
ejpam-1675	252	29	�	�	NOUN
ejpam-1675	252	30	ψ1	ψ1	NOUN
ejpam-1675	252	31	0	0	NUM
ejpam-1675	252	32	0	0	NUM
ejpam-1675	252	33	ψ2	ψ2	NOUN
ejpam-1675	252	34	�	�	PROPN
ejpam-1675	252	35	,	,	PUNCT
ejpam-1675	252	36	θδ	θδ	ADP
ejpam-1675	252	37	=	=	SYM
ejpam-1675	252	38	�	�	PROPN
ejpam-1675	252	39	θδ1	θδ1	NOUN
ejpam-1675	252	40	0	0	NUM
ejpam-1675	252	41	0	0	NUM
ejpam-1675	252	42	θδ2	θδ2	PROPN
ejpam-1675	252	43	�	�	PROPN
ejpam-1675	252	44	,	,	PUNCT
ejpam-1675	252	45	θε	θε	NOUN
ejpam-1675	252	46	=	=	NOUN
ejpam-1675	252	47			VERB
ejpam-1675	252	48			NOUN
ejpam-1675	252	49	θε1	θε1	VERB
ejpam-1675	252	50	0	0	NUM
ejpam-1675	252	51	0	0	NUM
ejpam-1675	252	52	0	0	NUM
ejpam-1675	252	53	0	0	NUM
ejpam-1675	252	54	θε2	θε2	NOUN
ejpam-1675	252	55	0	0	NUM
ejpam-1675	252	56	0	0	NUM
ejpam-1675	252	57	0	0	NUM
ejpam-1675	252	58	0	0	NUM
ejpam-1675	252	59	θε3	θε3	NOUN
ejpam-1675	252	60	0	0	NUM
ejpam-1675	252	61	0	0	NUM
ejpam-1675	252	62	0	0	NUM
ejpam-1675	252	63	0	0	NUM
ejpam-1675	252	64	θε4	θε4	NOUN
ejpam-1675	252	65			PROPN
ejpam-1675	252	66			VERB
ejpam-1675	252	67	•	•	NUM
ejpam-1675	252	68	pseudo	pseudo	NOUN
ejpam-1675	252	69	true	true	ADJ
ejpam-1675	252	70	model	model	NOUN
ejpam-1675	252	71	:	:	PUNCT
ejpam-1675	252	72	am2	am2	X
ejpam-1675	252	73	(	(	PUNCT
ejpam-1675	252	74	13	13	NUM
ejpam-1675	252	75	free	free	ADJ
ejpam-1675	252	76	parameters	parameter	NOUN
ejpam-1675	252	77	)	)	PUNCT
ejpam-1675	252	78	λx	λx	NOUN
ejpam-1675	252	79	(	(	PUNCT
ejpam-1675	252	80	1,1	1,1	NUM
ejpam-1675	252	81	)	)	PUNCT
ejpam-1675	252	82	=	=	SYM
ejpam-1675	253	1	λy(1,1	λy(1,1	ADJ
ejpam-1675	253	2	)	)	PUNCT
ejpam-1675	253	3	=	=	SYM
ejpam-1675	253	4	λx	λx	NOUN
ejpam-1675	253	5	(	(	PUNCT
ejpam-1675	253	6	3,2	3,2	NUM
ejpam-1675	253	7	)	)	PUNCT
ejpam-1675	253	8	=	=	SYM
ejpam-1675	253	9	1	1	NUM
ejpam-1675	253	10	θε(1,1	θε(1,1	NUM
ejpam-1675	253	11	)	)	PUNCT
ejpam-1675	253	12	=	=	SYM
ejpam-1675	253	13	θε(2,2),θε(3,3	θε(2,2),θε(3,3	X
ejpam-1675	253	14	)	)	PUNCT
ejpam-1675	253	15	=	=	SYM
ejpam-1675	253	16	θε(4,4	θε(4,4	X
ejpam-1675	253	17	)	)	PUNCT
ejpam-1675	253	18	γ	γ	PROPN
ejpam-1675	253	19	,	,	PUNCT
ejpam-1675	253	20	φ	φ	PROPN
ejpam-1675	253	21	,	,	PUNCT
ejpam-1675	253	22	b	b	PROPN
ejpam-1675	253	23	,	,	PUNCT
ejpam-1675	253	24	ψ	ψ	NOUN
ejpam-1675	253	25	,	,	PUNCT
ejpam-1675	253	26	θδ	θδ	NUM
ejpam-1675	253	27	are	be	AUX
ejpam-1675	253	28	estimated	estimate	VERB
ejpam-1675	253	29	freely	freely	ADV
ejpam-1675	253	30	λx	λx	PROPN
ejpam-1675	253	31	=	=	SYM
ejpam-1675	253	32	�	�	PROPN
ejpam-1675	253	33	1.00	1.00	NUM
ejpam-1675	253	34	λ1	λ1	PROPN
ejpam-1675	253	35	�	�	PROPN
ejpam-1675	253	36	,	,	PUNCT
ejpam-1675	253	37	λy	λy	PROPN
ejpam-1675	253	38	=	=	NOUN
ejpam-1675	253	39			VERB
ejpam-1675	253	40			NOUN
ejpam-1675	253	41	1.00	1.00	NUM
ejpam-1675	253	42	0	0	NUM
ejpam-1675	253	43	λ2	λ2	NOUN
ejpam-1675	253	44	0	0	NUM
ejpam-1675	253	45	0	0	NUM
ejpam-1675	254	1	1.00	1.00	NUM
ejpam-1675	254	2	0	0	NUM
ejpam-1675	255	1	λ3	λ3	PROPN
ejpam-1675	255	2			PROPN
ejpam-1675	255	3			NOUN
ejpam-1675	255	4	,	,	PUNCT
ejpam-1675	255	5	γ	γ	PROPN
ejpam-1675	255	6	=	=	SYM
ejpam-1675	255	7	�	�	PROPN
ejpam-1675	255	8	γ1	γ1	PROPN
ejpam-1675	255	9	γ2	γ2	PROPN
ejpam-1675	255	10	�	�	PROPN
ejpam-1675	255	11	,	,	PUNCT
ejpam-1675	255	12	φ	φ	PROPN
ejpam-1675	255	13	=	=	PROPN
ejpam-1675	255	14	�	�	PROPN
ejpam-1675	255	15	φ	φ	PROPN
ejpam-1675	255	16	�	�	PROPN
ejpam-1675	255	17	,	,	PUNCT
ejpam-1675	255	18	b	b	X
ejpam-1675	255	19	=	=	SYM
ejpam-1675	255	20	�	�	PROPN
ejpam-1675	255	21	0	0	NUM
ejpam-1675	255	22	0	0	NUM
ejpam-1675	255	23	β	β	SYM
ejpam-1675	255	24	0	0	NUM
ejpam-1675	255	25	�	�	PROPN
ejpam-1675	255	26	,	,	PUNCT
ejpam-1675	255	27	e.	e.	PROPN
ejpam-1675	255	28	howe	howe	PROPN
ejpam-1675	255	29	,	,	PUNCT
ejpam-1675	255	30	h.	h.	PROPN
ejpam-1675	255	31	bozdogan	bozdogan	PROPN
ejpam-1675	255	32	,	,	PUNCT
ejpam-1675	255	33	g.	g.	PROPN
ejpam-1675	255	34	kıroğlu	kıroğlu	PROPN
ejpam-1675	255	35	/	/	SYM
ejpam-1675	255	36	eur	eur	PROPN
ejpam-1675	255	37	.	.	PUNCT
ejpam-1675	256	1	j.	j.	PROPN
ejpam-1675	256	2	pure	pure	PROPN
ejpam-1675	256	3	appl	appl	PROPN
ejpam-1675	256	4	.	.	PROPN
ejpam-1675	256	5	math	math	PROPN
ejpam-1675	256	6	,	,	PUNCT
ejpam-1675	256	7	5	5	NUM
ejpam-1675	256	8	(	(	PUNCT
ejpam-1675	256	9	2012	2012	NUM
ejpam-1675	256	10	)	)	PUNCT
ejpam-1675	256	11	,	,	PUNCT
ejpam-1675	256	12	282	282	NUM
ejpam-1675	256	13	-	-	SYM
ejpam-1675	256	14	301	301	NUM
ejpam-1675	256	15	294	294	NUM
ejpam-1675	256	16	ψ	ψ	X
ejpam-1675	256	17	=	=	SYM
ejpam-1675	256	18	�	�	NOUN
ejpam-1675	256	19	ψ1	ψ1	NOUN
ejpam-1675	256	20	0	0	NUM
ejpam-1675	256	21	0	0	NUM
ejpam-1675	256	22	ψ2	ψ2	NOUN
ejpam-1675	256	23	�	�	PROPN
ejpam-1675	256	24	,	,	PUNCT
ejpam-1675	256	25	θδ	θδ	ADP
ejpam-1675	256	26	=	=	SYM
ejpam-1675	256	27	�	�	PROPN
ejpam-1675	256	28	θδ1	θδ1	NOUN
ejpam-1675	256	29	0	0	NUM
ejpam-1675	256	30	0	0	NUM
ejpam-1675	256	31	θδ2	θδ2	PROPN
ejpam-1675	256	32	�	�	PROPN
ejpam-1675	256	33	,	,	PUNCT
ejpam-1675	256	34	θε	θε	NOUN
ejpam-1675	256	35	=	=	NOUN
ejpam-1675	256	36			VERB
ejpam-1675	256	37			NOUN
ejpam-1675	256	38	θε1	θε1	VERB
ejpam-1675	256	39	0	0	NUM
ejpam-1675	256	40	0	0	NUM
ejpam-1675	256	41	0	0	NUM
ejpam-1675	256	42	0	0	NUM
ejpam-1675	257	1	θε1	θε1	NOUN
ejpam-1675	257	2	0	0	NUM
ejpam-1675	257	3	0	0	NUM
ejpam-1675	257	4	0	0	NUM
ejpam-1675	257	5	0	0	NUM
ejpam-1675	257	6	θε3	θε3	NOUN
ejpam-1675	257	7	0	0	NUM
ejpam-1675	257	8	0	0	NUM
ejpam-1675	257	9	0	0	NUM
ejpam-1675	257	10	0	0	NUM
ejpam-1675	257	11	θε3	θε3	SCONJ
ejpam-1675	257	12			PROPN
ejpam-1675	257	13			VERB
ejpam-1675	257	14	•	•	NUM
ejpam-1675	257	15	underfitting	underfitting	NOUN
ejpam-1675	257	16	model	model	NOUN
ejpam-1675	257	17	:	:	PUNCT
ejpam-1675	257	18	am3	am3	NOUN
ejpam-1675	257	19	(	(	PUNCT
ejpam-1675	257	20	11	11	NUM
ejpam-1675	257	21	free	free	ADJ
ejpam-1675	257	22	parameters	parameter	NOUN
ejpam-1675	257	23	)	)	PUNCT
ejpam-1675	257	24	λx	λx	NOUN
ejpam-1675	257	25	(	(	PUNCT
ejpam-1675	257	26	1,1	1,1	NUM
ejpam-1675	257	27	)	)	PUNCT
ejpam-1675	258	1	=	=	SYM
ejpam-1675	258	2	λy(1,1	λy(1,1	ADJ
ejpam-1675	258	3	)	)	PUNCT
ejpam-1675	258	4	=	=	SYM
ejpam-1675	258	5	λx	λx	NOUN
ejpam-1675	258	6	(	(	PUNCT
ejpam-1675	258	7	3,2	3,2	NUM
ejpam-1675	258	8	)	)	PUNCT
ejpam-1675	258	9	=	=	SYM
ejpam-1675	258	10	1	1	NUM
ejpam-1675	258	11	λx	λx	NOUN
ejpam-1675	258	12	(	(	PUNCT
ejpam-1675	258	13	2,1	2,1	NUM
ejpam-1675	258	14	)	)	PUNCT
ejpam-1675	258	15	=	=	SYM
ejpam-1675	258	16	λy(2,1	λy(2,1	PROPN
ejpam-1675	258	17	)	)	PUNCT
ejpam-1675	258	18	γ(2,1	γ(2,1	NOUN
ejpam-1675	258	19	)	)	PUNCT
ejpam-1675	258	20	=	=	SYM
ejpam-1675	258	21	0	0	NUM
ejpam-1675	258	22	θε(1,1	θε(1,1	NUM
ejpam-1675	258	23	)	)	PUNCT
ejpam-1675	258	24	=	=	SYM
ejpam-1675	259	1	θε(2,2),θε(3,3	θε(2,2),θε(3,3	X
ejpam-1675	259	2	)	)	PUNCT
ejpam-1675	259	3	=	=	SYM
ejpam-1675	259	4	θε(4,4	θε(4,4	X
ejpam-1675	259	5	)	)	PUNCT
ejpam-1675	259	6	φ	φ	PROPN
ejpam-1675	259	7	,	,	PUNCT
ejpam-1675	259	8	b	b	PROPN
ejpam-1675	259	9	,	,	PUNCT
ejpam-1675	259	10	ψ	ψ	NOUN
ejpam-1675	259	11	,	,	PUNCT
ejpam-1675	259	12	θδ	θδ	NUM
ejpam-1675	259	13	are	be	AUX
ejpam-1675	259	14	estimated	estimate	VERB
ejpam-1675	259	15	freely	freely	ADV
ejpam-1675	259	16	λx	λx	PROPN
ejpam-1675	259	17	=	=	SYM
ejpam-1675	259	18	�	�	PROPN
ejpam-1675	259	19	1.00	1.00	NUM
ejpam-1675	259	20	λ1	λ1	PROPN
ejpam-1675	259	21	�	�	PROPN
ejpam-1675	259	22	,	,	PUNCT
ejpam-1675	259	23	λy	λy	PROPN
ejpam-1675	259	24	=	=	NOUN
ejpam-1675	259	25			VERB
ejpam-1675	259	26			NOUN
ejpam-1675	259	27	1.00	1.00	NUM
ejpam-1675	259	28	0	0	NUM
ejpam-1675	260	1	λ1	λ1	ADJ
ejpam-1675	260	2	0	0	NUM
ejpam-1675	260	3	0	0	NUM
ejpam-1675	260	4	1.00	1.00	NUM
ejpam-1675	260	5	0	0	NUM
ejpam-1675	261	1	λ3	λ3	PROPN
ejpam-1675	261	2			PROPN
ejpam-1675	261	3			NOUN
ejpam-1675	261	4	,	,	PUNCT
ejpam-1675	261	5	γ	γ	PROPN
ejpam-1675	261	6	=	=	SYM
ejpam-1675	261	7	�	�	PROPN
ejpam-1675	261	8	γ1	γ1	PROPN
ejpam-1675	261	9	0	0	PROPN
ejpam-1675	261	10	�	�	PROPN
ejpam-1675	261	11	,	,	PUNCT
ejpam-1675	261	12	φ	φ	PROPN
ejpam-1675	261	13	=	=	SYM
ejpam-1675	261	14	�	�	PROPN
ejpam-1675	261	15	φ	φ	PROPN
ejpam-1675	261	16	�	�	PROPN
ejpam-1675	261	17	,	,	PUNCT
ejpam-1675	261	18	b	b	X
ejpam-1675	261	19	=	=	SYM
ejpam-1675	261	20	�	�	PROPN
ejpam-1675	261	21	0	0	NUM
ejpam-1675	261	22	0	0	NUM
ejpam-1675	261	23	β	β	SYM
ejpam-1675	261	24	0	0	NUM
ejpam-1675	261	25	�	�	PROPN
ejpam-1675	261	26	,	,	PUNCT
ejpam-1675	261	27	ψ	ψ	X
ejpam-1675	261	28	=	=	SYM
ejpam-1675	261	29	�	�	NOUN
ejpam-1675	261	30	ψ1	ψ1	NOUN
ejpam-1675	261	31	0	0	NUM
ejpam-1675	261	32	0	0	NUM
ejpam-1675	261	33	ψ2	ψ2	NOUN
ejpam-1675	261	34	�	�	PROPN
ejpam-1675	261	35	,	,	PUNCT
ejpam-1675	261	36	θδ	θδ	ADP
ejpam-1675	261	37	=	=	SYM
ejpam-1675	261	38	�	�	PROPN
ejpam-1675	261	39	θδ1	θδ1	NOUN
ejpam-1675	261	40	0	0	NUM
ejpam-1675	261	41	0	0	NUM
ejpam-1675	261	42	θδ2	θδ2	PROPN
ejpam-1675	261	43	�	�	PROPN
ejpam-1675	261	44	,	,	PUNCT
ejpam-1675	261	45	θε	θε	NOUN
ejpam-1675	261	46	=	=	NOUN
ejpam-1675	261	47			VERB
ejpam-1675	261	48			NOUN
ejpam-1675	261	49	θε1	θε1	VERB
ejpam-1675	261	50	0	0	NUM
ejpam-1675	261	51	0	0	NUM
ejpam-1675	261	52	0	0	NUM
ejpam-1675	261	53	0	0	NUM
ejpam-1675	261	54	θε1	θε1	NOUN
ejpam-1675	261	55	0	0	NUM
ejpam-1675	261	56	0	0	NUM
ejpam-1675	261	57	0	0	NUM
ejpam-1675	261	58	0	0	NUM
ejpam-1675	261	59	θε3	θε3	NOUN
ejpam-1675	261	60	0	0	NUM
ejpam-1675	261	61	0	0	NUM
ejpam-1675	261	62	0	0	NUM
ejpam-1675	261	63	0	0	NUM
ejpam-1675	261	64	θε3	θε3	ADP
ejpam-1675	261	65			PROPN
ejpam-1675	261	66			NOUN
ejpam-1675	261	67	based	base	VERB
ejpam-1675	261	68	on	on	ADP
ejpam-1675	261	69	the	the	DET
ejpam-1675	261	70	above	above	ADJ
ejpam-1675	261	71	am	be	AUX
ejpam-1675	261	72	structures	structure	NOUN
ejpam-1675	261	73	above	above	ADV
ejpam-1675	261	74	,	,	PUNCT
ejpam-1675	261	75	we	we	PRON
ejpam-1675	261	76	carried	carry	VERB
ejpam-1675	261	77	out	out	ADP
ejpam-1675	261	78	a	a	DET
ejpam-1675	261	79	large	large	ADJ
ejpam-1675	261	80	scale	scale	NOUN
ejpam-1675	261	81	monte	monte	PROPN
ejpam-1675	261	82	carlo	carlo	PROPN
ejpam-1675	261	83	simulation	simulation	PROPN
ejpam-1675	261	84	study	study	PROPN
ejpam-1675	261	85	.	.	PUNCT
ejpam-1675	262	1	since	since	SCONJ
ejpam-1675	262	2	we	we	PRON
ejpam-1675	262	3	have	have	VERB
ejpam-1675	262	4	three	three	NUM
ejpam-1675	262	5	ams	am	NOUN
ejpam-1675	262	6	and	and	CCONJ
ejpam-1675	262	7	four	four	NUM
ejpam-1675	262	8	different	different	ADJ
ejpam-1675	262	9	sample	sample	NOUN
ejpam-1675	262	10	sizes	size	NOUN
ejpam-1675	262	11	n=	n=	ADJ
ejpam-1675	262	12	100,400,1000	100,400,1000	NUM
ejpam-1675	262	13	,	,	PUNCT
ejpam-1675	262	14	and	and	CCONJ
ejpam-1675	262	15	4000	4000	NUM
ejpam-1675	262	16	,	,	PUNCT
ejpam-1675	262	17	we	we	PRON
ejpam-1675	262	18	have	have	VERB
ejpam-1675	262	19	in	in	ADP
ejpam-1675	262	20	total	total	ADJ
ejpam-1675	262	21	12	12	NUM
ejpam-1675	262	22	different	different	ADJ
ejpam-1675	262	23	simulation	simulation	NOUN
ejpam-1675	262	24	experiments	experiment	NOUN
ejpam-1675	262	25	.	.	PUNCT
ejpam-1675	263	1	for	for	ADP
ejpam-1675	263	2	each	each	DET
ejpam-1675	263	3	simulation	simulation	NOUN
ejpam-1675	263	4	experiment	experiment	NOUN
ejpam-1675	263	5	,	,	PUNCT
ejpam-1675	263	6	we	we	PRON
ejpam-1675	263	7	performed	perform	VERB
ejpam-1675	263	8	500	500	NUM
ejpam-1675	263	9	replications	replication	NOUN
ejpam-1675	263	10	and	and	CCONJ
ejpam-1675	263	11	scored	score	VERB
ejpam-1675	263	12	each	each	PRON
ejpam-1675	263	13	of	of	ADP
ejpam-1675	263	14	the	the	DET
ejpam-1675	263	15	information	information	NOUN
ejpam-1675	263	16	criteria	criterion	NOUN
ejpam-1675	263	17	to	to	PART
ejpam-1675	263	18	study	study	VERB
ejpam-1675	263	19	their	their	PRON
ejpam-1675	263	20	empirical	empirical	ADJ
ejpam-1675	263	21	performance	performance	NOUN
ejpam-1675	263	22	based	base	VERB
ejpam-1675	263	23	on	on	ADP
ejpam-1675	263	24	their	their	PRON
ejpam-1675	263	25	hit	hit	VERB
ejpam-1675	263	26	ratios	ratio	NOUN
ejpam-1675	263	27	.	.	PUNCT
ejpam-1675	264	1	one	one	NUM
ejpam-1675	264	2	of	of	ADP
ejpam-1675	264	3	the	the	DET
ejpam-1675	264	4	important	important	ADJ
ejpam-1675	264	5	characteristics	characteristic	NOUN
ejpam-1675	264	6	of	of	ADP
ejpam-1675	264	7	am3	am3	NOUN
ejpam-1675	264	8	is	be	AUX
ejpam-1675	264	9	that	that	SCONJ
ejpam-1675	264	10	it	it	PRON
ejpam-1675	264	11	is	be	AUX
ejpam-1675	264	12	a	a	DET
ejpam-1675	264	13	misspecified	misspecified	ADJ
ejpam-1675	264	14	model	model	NOUN
ejpam-1675	264	15	according	accord	VERB
ejpam-1675	264	16	to	to	ADP
ejpam-1675	264	17	[	[	X
ejpam-1675	264	18	15	15	NUM
ejpam-1675	264	19	]	]	X
ejpam-1675	264	20	;	;	PUNCT
ejpam-1675	264	21	that	that	PRON
ejpam-1675	264	22	is	be	AUX
ejpam-1675	264	23	misspecified	misspecifie	VERB
ejpam-1675	264	24	as	as	SCONJ
ejpam-1675	264	25	it	it	PRON
ejpam-1675	264	26	relates	relate	VERB
ejpam-1675	264	27	to	to	ADP
ejpam-1675	264	28	underfitting	underfitting	NOUN
ejpam-1675	264	29	.	.	PUNCT
ejpam-1675	265	1	we	we	PRON
ejpam-1675	265	2	note	note	VERB
ejpam-1675	265	3	that	that	SCONJ
ejpam-1675	265	4	his	his	PRON
ejpam-1675	265	5	misspecification	misspecification	NOUN
ejpam-1675	265	6	does	do	AUX
ejpam-1675	265	7	not	not	PART
ejpam-1675	265	8	indicate	indicate	VERB
ejpam-1675	265	9	to	to	ADP
ejpam-1675	265	10	distributional	distributional	ADJ
ejpam-1675	265	11	misspecification	misspecification	NOUN
ejpam-1675	265	12	since	since	SCONJ
ejpam-1675	265	13	there	there	PRON
ejpam-1675	265	14	are	be	VERB
ejpam-1675	265	15	many	many	ADJ
ejpam-1675	265	16	other	other	ADJ
ejpam-1675	265	17	ways	way	NOUN
ejpam-1675	265	18	we	we	PRON
ejpam-1675	265	19	can	can	AUX
ejpam-1675	265	20	misspecify	misspecify	VERB
ejpam-1675	265	21	a	a	DET
ejpam-1675	265	22	model	model	NOUN
ejpam-1675	265	23	.	.	PUNCT
ejpam-1675	266	1	the	the	DET
ejpam-1675	266	2	steps	step	NOUN
ejpam-1675	266	3	of	of	ADP
ejpam-1675	266	4	our	our	PRON
ejpam-1675	266	5	monte	monte	PROPN
ejpam-1675	266	6	carlo	carlo	PROPN
ejpam-1675	266	7	simulation	simulation	PROPN
ejpam-1675	266	8	are	be	AUX
ejpam-1675	266	9	as	as	SCONJ
ejpam-1675	266	10	follows	follow	NOUN
ejpam-1675	266	11	,	,	PUNCT
ejpam-1675	266	12	1	1	X
ejpam-1675	266	13	.	.	PUNCT
ejpam-1675	267	1	the	the	DET
ejpam-1675	267	2	covariance	covariance	NOUN
ejpam-1675	267	3	matrices	matrix	NOUN
ejpam-1675	267	4	are	be	AUX
ejpam-1675	267	5	generated	generate	VERB
ejpam-1675	267	6	with	with	ADP
ejpam-1675	267	7	population	population	NOUN
ejpam-1675	267	8	parameters	parameter	NOUN
ejpam-1675	267	9	given	give	VERB
ejpam-1675	267	10	in	in	ADP
ejpam-1675	267	11	figure	figure	NOUN
ejpam-1675	267	12	1	1	NUM
ejpam-1675	267	13	,	,	PUNCT
ejpam-1675	267	14	using	use	VERB
ejpam-1675	267	15	prelis	prelis	PROPN
ejpam-1675	267	16	.	.	PUNCT
ejpam-1675	268	1	2	2	X
ejpam-1675	268	2	.	.	X
ejpam-1675	268	3	each	each	DET
ejpam-1675	268	4	generated	generate	VERB
ejpam-1675	268	5	sample	sample	NOUN
ejpam-1675	268	6	covariance	covariance	NOUN
ejpam-1675	268	7	matrix	matrix	NOUN
ejpam-1675	268	8	is	be	AUX
ejpam-1675	268	9	analyzed	analyze	VERB
ejpam-1675	268	10	by	by	ADP
ejpam-1675	268	11	means	mean	NOUN
ejpam-1675	268	12	of	of	ADP
ejpam-1675	268	13	the	the	DET
ejpam-1675	268	14	three	three	NUM
ejpam-1675	268	15	analytic	analytic	ADJ
ejpam-1675	268	16	models	model	NOUN
ejpam-1675	268	17	using	use	VERB
ejpam-1675	268	18	lisrel	lisrel	NOUN
ejpam-1675	268	19	.	.	PUNCT
ejpam-1675	269	1	goodness	goodness	NOUN
ejpam-1675	269	2	of	of	ADP
ejpam-1675	269	3	fit	fit	ADJ
ejpam-1675	269	4	indices	index	NOUN
ejpam-1675	269	5	and	and	CCONJ
ejpam-1675	269	6	implied	imply	VERB
ejpam-1675	269	7	covariance	covariance	NOUN
ejpam-1675	269	8	matrices	matrix	NOUN
ejpam-1675	269	9	from	from	ADP
ejpam-1675	269	10	lisrel	lisrel	NOUN
ejpam-1675	269	11	outputs	output	NOUN
ejpam-1675	269	12	are	be	AUX
ejpam-1675	269	13	saved	save	VERB
ejpam-1675	269	14	.	.	PUNCT
ejpam-1675	270	1	3	3	X
ejpam-1675	270	2	.	.	X
ejpam-1675	270	3	lisrel	lisrel	NOUN
ejpam-1675	270	4	outputs	output	NOUN
ejpam-1675	270	5	are	be	AUX
ejpam-1675	270	6	passed	pass	VERB
ejpam-1675	270	7	to	to	ADP
ejpam-1675	270	8	program	program	NOUN
ejpam-1675	270	9	are	be	AUX
ejpam-1675	270	10	read	read	VERB
ejpam-1675	270	11	into	into	ADP
ejpam-1675	270	12	matlab	matlab	PROPN
ejpam-1675	270	13	,	,	PUNCT
ejpam-1675	270	14	which	which	PRON
ejpam-1675	270	15	computes	compute	VERB
ejpam-1675	270	16	both	both	PRON
ejpam-1675	270	17	aic	aic	PROPN
ejpam-1675	270	18	-	-	PUNCT
ejpam-1675	270	19	type	type	NOUN
ejpam-1675	270	20	and	and	CCONJ
ejpam-1675	270	21	icom	icom	PROPN
ejpam-1675	270	22	p	p	ADJ
ejpam-1675	270	23	-	-	PUNCT
ejpam-1675	270	24	type	type	NOUN
ejpam-1675	270	25	criteria	criterion	NOUN
ejpam-1675	270	26	scores	score	NOUN
ejpam-1675	270	27	,	,	PUNCT
ejpam-1675	270	28	and	and	CCONJ
ejpam-1675	270	29	ams	ams	NOUN
ejpam-1675	270	30	selection	selection	NOUN
ejpam-1675	270	31	frequencies	frequency	NOUN
ejpam-1675	270	32	.	.	PUNCT
ejpam-1675	271	1	our	our	PRON
ejpam-1675	271	2	matlab	matlab	PROPN
ejpam-1675	271	3	modules	module	NOUN
ejpam-1675	271	4	are	be	AUX
ejpam-1675	271	5	available	available	ADJ
ejpam-1675	271	6	from	from	ADP
ejpam-1675	271	7	the	the	DET
ejpam-1675	271	8	authors	author	NOUN
ejpam-1675	271	9	upon	upon	SCONJ
ejpam-1675	271	10	request	request	NOUN
ejpam-1675	271	11	which	which	PRON
ejpam-1675	271	12	marries	marry	VERB
ejpam-1675	271	13	lisrel	lisrel	NOUN
ejpam-1675	271	14	results	result	NOUN
ejpam-1675	271	15	with	with	ADP
ejpam-1675	271	16	matlab	matlab	PROPN
ejpam-1675	271	17	.	.	PUNCT
ejpam-1675	272	1	e.	e.	PROPN
ejpam-1675	272	2	howe	howe	PROPN
ejpam-1675	272	3	,	,	PUNCT
ejpam-1675	272	4	h.	h.	PROPN
ejpam-1675	272	5	bozdogan	bozdogan	PROPN
ejpam-1675	272	6	,	,	PUNCT
ejpam-1675	272	7	g.	g.	PROPN
ejpam-1675	272	8	kıroğlu	kıroğlu	PROPN
ejpam-1675	272	9	/	/	SYM
ejpam-1675	272	10	eur	eur	PROPN
ejpam-1675	272	11	.	.	PUNCT
ejpam-1675	273	1	j.	j.	PROPN
ejpam-1675	273	2	pure	pure	PROPN
ejpam-1675	273	3	appl	appl	PROPN
ejpam-1675	273	4	.	.	PROPN
ejpam-1675	273	5	math	math	PROPN
ejpam-1675	273	6	,	,	PUNCT
ejpam-1675	273	7	5	5	NUM
ejpam-1675	273	8	(	(	PUNCT
ejpam-1675	273	9	2012	2012	NUM
ejpam-1675	273	10	)	)	PUNCT
ejpam-1675	273	11	,	,	PUNCT
ejpam-1675	273	12	282	282	NUM
ejpam-1675	273	13	-	-	SYM
ejpam-1675	273	14	301	301	NUM
ejpam-1675	273	15	295	295	NUM
ejpam-1675	273	16	5.1.1	5.1.1	NUM
ejpam-1675	273	17	.	.	PUNCT
ejpam-1675	274	1	results	result	NOUN
ejpam-1675	274	2	of	of	ADP
ejpam-1675	274	3	monte	monte	PROPN
ejpam-1675	274	4	carlo	carlo	PROPN
ejpam-1675	274	5	simulation	simulation	PROPN
ejpam-1675	274	6	experiments	experiment	NOUN
ejpam-1675	274	7	table	table	VERB
ejpam-1675	274	8	2	2	NUM
ejpam-1675	274	9	:	:	PUNCT
ejpam-1675	274	10	corre	corre	PROPN
ejpam-1675	274	11	t	t	PROPN
ejpam-1675	274	12	model	model	PROPN
ejpam-1675	274	13	sele	sele	PROPN
ejpam-1675	274	14	tion	tion	PROPN
ejpam-1675	274	15	frequen	frequen	PROPN
ejpam-1675	274	16	y	y	PROPN
ejpam-1675	274	17	by	by	ADP
ejpam-1675	274	18	riteria	riteria	PROPN
ejpam-1675	274	19	(	(	PUNCT
ejpam-1675	274	20	in	in	ADP
ejpam-1675	274	21	%	%	NOUN
ejpam-1675	274	22	)	)	PUNCT
ejpam-1675	274	23	.	.	PUNCT
ejpam-1675	275	1	information	information	NOUN
ejpam-1675	275	2	criteria	criterion	NOUN
ejpam-1675	275	3	n	n	PROPN
ejpam-1675	275	4	am1	am1	X
ejpam-1675	275	5	am2	am2	DET
ejpam-1675	275	6	am3	am3	NOUN
ejpam-1675	275	7	aic	aic	PROPN
ejpam-1675	275	8	100	100	NUM
ejpam-1675	275	9	16	16	NUM
ejpam-1675	275	10	84	84	NUM
ejpam-1675	275	11	0	0	NUM
ejpam-1675	275	12	400	400	NUM
ejpam-1675	275	13	23.4	23.4	NUM
ejpam-1675	275	14	76.6	76.6	NUM
ejpam-1675	275	15	0	0	NUM
ejpam-1675	275	16	1000	1000	NUM
ejpam-1675	275	17	41.6	41.6	NUM
ejpam-1675	275	18	58.6	58.6	NUM
ejpam-1675	275	19	0	0	NUM
ejpam-1675	275	20	4000	4000	NUM
ejpam-1675	275	21	85.6	85.6	NUM
ejpam-1675	275	22	14.4	14.4	NUM
ejpam-1675	275	23	0	0	NUM
ejpam-1675	276	1	caic	caic	PROPN
ejpam-1675	276	2	100	100	NUM
ejpam-1675	276	3	0.4	0.4	NUM
ejpam-1675	276	4	98.8	98.8	NUM
ejpam-1675	276	5	0.8	0.8	NUM
ejpam-1675	276	6	400	400	NUM
ejpam-1675	276	7	0.2	0.2	NUM
ejpam-1675	276	8	99.8	99.8	NUM
ejpam-1675	276	9	0	0	NUM
ejpam-1675	276	10	1000	1000	NUM
ejpam-1675	276	11	1.2	1.2	NUM
ejpam-1675	276	12	98.8	98.8	NUM
ejpam-1675	276	13	0	0	NUM
ejpam-1675	276	14	4000	4000	NUM
ejpam-1675	276	15	5.8	5.8	NUM
ejpam-1675	276	16	94.2	94.2	NUM
ejpam-1675	276	17	0	0	NUM
ejpam-1675	276	18	caic	caic	PROPN
ejpam-1675	276	19	f	f	PROPN
ejpam-1675	277	1	100	100	NUM
ejpam-1675	277	2	0	0	NUM
ejpam-1675	277	3	98.4	98.4	NUM
ejpam-1675	277	4	1.6	1.6	NUM
ejpam-1675	277	5	400	400	NUM
ejpam-1675	277	6	0.2	0.2	NUM
ejpam-1675	277	7	99.8	99.8	NUM
ejpam-1675	277	8	0	0	NUM
ejpam-1675	277	9	1000	1000	NUM
ejpam-1675	277	10	0.6	0.6	NUM
ejpam-1675	277	11	99.4	99.4	NUM
ejpam-1675	277	12	0	0	NUM
ejpam-1675	277	13	4000	4000	NUM
ejpam-1675	277	14	3.6	3.6	NUM
ejpam-1675	277	15	96.4	96.4	NUM
ejpam-1675	277	16	0	0	NUM
ejpam-1675	277	17	bms	bms	PROPN
ejpam-1675	277	18	100	100	NUM
ejpam-1675	277	19	0	0	NUM
ejpam-1675	277	20	98.6	98.6	NUM
ejpam-1675	277	21	1.4	1.4	NUM
ejpam-1675	277	22	400	400	NUM
ejpam-1675	277	23	0.2	0.2	NUM
ejpam-1675	277	24	99.8	99.8	NUM
ejpam-1675	277	25	0	0	NUM
ejpam-1675	277	26	1000	1000	NUM
ejpam-1675	277	27	1.0	1.0	NUM
ejpam-1675	277	28	99.0	99.0	NUM
ejpam-1675	277	29	0	0	NUM
ejpam-1675	277	30	4000	4000	NUM
ejpam-1675	277	31	5.6	5.6	NUM
ejpam-1675	277	32	94.4	94.4	NUM
ejpam-1675	277	33	0	0	NUM
ejpam-1675	277	34	icom	icom	PROPN
ejpam-1675	277	35	p	p	NOUN
ejpam-1675	277	36	100	100	NUM
ejpam-1675	277	37	98.6	98.6	NUM
ejpam-1675	277	38	1.4	1.4	NUM
ejpam-1675	277	39	0	0	NUM
ejpam-1675	277	40	400	400	NUM
ejpam-1675	277	41	99.8	99.8	NUM
ejpam-1675	277	42	0.2	0.2	NUM
ejpam-1675	277	43	0	0	NUM
ejpam-1675	277	44	1000	1000	NUM
ejpam-1675	277	45	100	100	NUM
ejpam-1675	277	46	0	0	NUM
ejpam-1675	277	47	0	0	NUM
ejpam-1675	277	48	4000	4000	NUM
ejpam-1675	277	49	100	100	NUM
ejpam-1675	277	50	0	0	NUM
ejpam-1675	277	51	0	0	NUM
ejpam-1675	277	52	icom	icom	PROPN
ejpam-1675	277	53	p(i	p(i	PROPN
ejpam-1675	277	54	f	f	PROPN
ejpam-1675	277	55	i	i	PRON
ejpam-1675	277	56	m	m	VERB
ejpam-1675	277	57	)	)	PUNCT
ejpam-1675	277	58	100	100	NUM
ejpam-1675	277	59	37	37	NUM
ejpam-1675	277	60	63	63	NUM
ejpam-1675	277	61	0	0	NUM
ejpam-1675	277	62	400	400	NUM
ejpam-1675	277	63	48.8	48.8	NUM
ejpam-1675	277	64	51.2	51.2	NUM
ejpam-1675	277	65	0	0	NUM
ejpam-1675	277	66	1000	1000	NUM
ejpam-1675	277	67	65.4	65.4	NUM
ejpam-1675	277	68	34.6	34.6	NUM
ejpam-1675	277	69	0	0	NUM
ejpam-1675	277	70	4000	4000	NUM
ejpam-1675	277	71	95.4	95.4	NUM
ejpam-1675	277	72	4.6	4.6	NUM
ejpam-1675	277	73	0	0	NUM
ejpam-1675	277	74	icom	icom	PROPN
ejpam-1675	277	75	p(i	p(i	PROPN
ejpam-1675	277	76	f	f	PROPN
ejpam-1675	277	77	im)peu	im)peu	VERB
ejpam-1675	277	78	100	100	NUM
ejpam-1675	277	79	13.8	13.8	NUM
ejpam-1675	277	80	86.2	86.2	NUM
ejpam-1675	277	81	0	0	NUM
ejpam-1675	277	82	400	400	NUM
ejpam-1675	277	83	22.8	22.8	NUM
ejpam-1675	277	84	77.2	77.2	NUM
ejpam-1675	277	85	0	0	NUM
ejpam-1675	277	86	1000	1000	NUM
ejpam-1675	277	87	41.2	41.2	NUM
ejpam-1675	277	88	58.8	58.8	NUM
ejpam-1675	277	89	0	0	NUM
ejpam-1675	277	90	4000	4000	NUM
ejpam-1675	277	91	85.4	85.4	NUM
ejpam-1675	277	92	14.6	14.6	NUM
ejpam-1675	277	93	0	0	NUM
ejpam-1675	277	94	icom	icom	PROPN
ejpam-1675	277	95	p(i	p(i	PROPN
ejpam-1675	277	96	f	f	PROPN
ejpam-1675	277	97	im)peu_miss	im)peu_miss	VERB
ejpam-1675	277	98	100	100	NUM
ejpam-1675	277	99	9.2	9.2	NUM
ejpam-1675	277	100	90.8	90.8	NUM
ejpam-1675	277	101	0	0	NUM
ejpam-1675	277	102	400	400	NUM
ejpam-1675	277	103	20.8	20.8	NUM
ejpam-1675	277	104	79.2	79.2	NUM
ejpam-1675	277	105	0	0	NUM
ejpam-1675	277	106	1000	1000	NUM
ejpam-1675	277	107	40.2	40.2	NUM
ejpam-1675	277	108	59.8	59.8	NUM
ejpam-1675	277	109	0	0	NUM
ejpam-1675	277	110	4000	4000	NUM
ejpam-1675	277	111	85.4	85.4	NUM
ejpam-1675	277	112	14.6	14.6	NUM
ejpam-1675	277	113	0	0	NUM
ejpam-1675	277	114	c	c	PROPN
ejpam-1675	277	115	icom	icom	PROPN
ejpam-1675	277	116	p(i	p(i	PROPN
ejpam-1675	277	117	f	f	PROPN
ejpam-1675	277	118	im)peu	im)peu	VERB
ejpam-1675	277	119	100	100	NUM
ejpam-1675	277	120	0	0	NUM
ejpam-1675	277	121	80.6	80.6	NUM
ejpam-1675	277	122	19.4	19.4	NUM
ejpam-1675	277	123	400	400	NUM
ejpam-1675	277	124	0	0	NUM
ejpam-1675	277	125	100	100	NUM
ejpam-1675	277	126	0	0	NUM
ejpam-1675	277	127	1000	1000	NUM
ejpam-1675	277	128	0	0	NUM
ejpam-1675	277	129	100	100	NUM
ejpam-1675	277	130	0	0	NUM
ejpam-1675	277	131	4000	4000	NUM
ejpam-1675	277	132	0.2	0.2	NUM
ejpam-1675	277	133	99.8	99.8	NUM
ejpam-1675	277	134	0	0	NUM
ejpam-1675	277	135	c	c	PROPN
ejpam-1675	277	136	icom	icom	PROPN
ejpam-1675	277	137	p(i	p(i	PROPN
ejpam-1675	277	138	f	f	PROPN
ejpam-1675	277	139	im)peu_miss	im)peu_miss	VERB
ejpam-1675	277	140	100	100	NUM
ejpam-1675	277	141	0	0	NUM
ejpam-1675	277	142	52.4	52.4	NUM
ejpam-1675	277	143	47.6	47.6	NUM
ejpam-1675	277	144	400	400	NUM
ejpam-1675	277	145	0	0	NUM
ejpam-1675	277	146	100	100	NUM
ejpam-1675	277	147	0	0	NUM
ejpam-1675	277	148	1000	1000	NUM
ejpam-1675	277	149	0	0	NUM
ejpam-1675	277	150	100	100	NUM
ejpam-1675	277	151	0	0	NUM
ejpam-1675	277	152	4000	4000	NUM
ejpam-1675	277	153	0.2	0.2	NUM
ejpam-1675	277	154	99.8	99.8	NUM
ejpam-1675	277	155	0	0	NUM
ejpam-1675	277	156	e.	e.	PROPN
ejpam-1675	277	157	howe	howe	PROPN
ejpam-1675	277	158	,	,	PUNCT
ejpam-1675	277	159	h.	h.	PROPN
ejpam-1675	277	160	bozdogan	bozdogan	PROPN
ejpam-1675	277	161	,	,	PUNCT
ejpam-1675	277	162	g.	g.	PROPN
ejpam-1675	277	163	kıroğlu	kıroğlu	PROPN
ejpam-1675	277	164	/	/	SYM
ejpam-1675	277	165	eur	eur	PROPN
ejpam-1675	277	166	.	.	PUNCT
ejpam-1675	278	1	j.	j.	PROPN
ejpam-1675	278	2	pure	pure	PROPN
ejpam-1675	278	3	appl	appl	PROPN
ejpam-1675	278	4	.	.	PROPN
ejpam-1675	278	5	math	math	PROPN
ejpam-1675	278	6	,	,	PUNCT
ejpam-1675	278	7	5	5	NUM
ejpam-1675	278	8	(	(	PUNCT
ejpam-1675	278	9	2012	2012	NUM
ejpam-1675	278	10	)	)	PUNCT
ejpam-1675	278	11	,	,	PUNCT
ejpam-1675	278	12	282	282	NUM
ejpam-1675	278	13	-	-	SYM
ejpam-1675	278	14	301	301	NUM
ejpam-1675	278	15	296	296	NUM
ejpam-1675	278	16	in	in	ADP
ejpam-1675	278	17	our	our	PRON
ejpam-1675	278	18	simulation	simulation	NOUN
ejpam-1675	278	19	study	study	NOUN
ejpam-1675	278	20	,	,	PUNCT
ejpam-1675	278	21	we	we	PRON
ejpam-1675	278	22	intentionally	intentionally	ADV
ejpam-1675	278	23	did	do	AUX
ejpam-1675	278	24	not	not	PART
ejpam-1675	278	25	include	include	VERB
ejpam-1675	278	26	the	the	DET
ejpam-1675	278	27	nine	nine	NUM
ejpam-1675	278	28	traditional	traditional	ADJ
ejpam-1675	278	29	goodness	goodness	NOUN
ejpam-1675	278	30	of	of	ADP
ejpam-1675	278	31	fit	fit	ADJ
ejpam-1675	278	32	indices	index	NOUN
ejpam-1675	278	33	which	which	PRON
ejpam-1675	278	34	were	be	AUX
ejpam-1675	278	35	scored	score	VERB
ejpam-1675	278	36	in	in	ADP
ejpam-1675	278	37	[	[	X
ejpam-1675	278	38	15	15	NUM
ejpam-1675	278	39	]	]	PUNCT
ejpam-1675	278	40	,	,	PUNCT
ejpam-1675	278	41	as	as	SCONJ
ejpam-1675	278	42	they	they	PRON
ejpam-1675	278	43	do	do	AUX
ejpam-1675	278	44	not	not	PART
ejpam-1675	278	45	have	have	VERB
ejpam-1675	278	46	the	the	DET
ejpam-1675	278	47	provision	provision	NOUN
ejpam-1675	278	48	of	of	ADP
ejpam-1675	278	49	taking	take	VERB
ejpam-1675	278	50	into	into	ADP
ejpam-1675	278	51	account	account	NOUN
ejpam-1675	278	52	different	different	ADJ
ejpam-1675	278	53	type	type	NOUN
ejpam-1675	278	54	of	of	ADP
ejpam-1675	278	55	model	model	NOUN
ejpam-1675	278	56	misspecifications	misspecification	NOUN
ejpam-1675	278	57	.	.	PUNCT
ejpam-1675	279	1	therefore	therefore	ADV
ejpam-1675	279	2	,	,	PUNCT
ejpam-1675	279	3	it	it	PRON
ejpam-1675	279	4	is	be	AUX
ejpam-1675	279	5	misleading	mislead	VERB
ejpam-1675	279	6	even	even	ADV
ejpam-1675	279	7	to	to	PART
ejpam-1675	279	8	score	score	VERB
ejpam-1675	279	9	and	and	CCONJ
ejpam-1675	279	10	report	report	VERB
ejpam-1675	279	11	their	their	PRON
ejpam-1675	279	12	results	result	NOUN
ejpam-1675	279	13	under	under	ADP
ejpam-1675	279	14	such	such	ADJ
ejpam-1675	279	15	circumstances	circumstance	NOUN
ejpam-1675	279	16	.	.	PUNCT
ejpam-1675	280	1	in	in	ADP
ejpam-1675	280	2	table	table	NOUN
ejpam-1675	280	3	2	2	NUM
ejpam-1675	280	4	,	,	PUNCT
ejpam-1675	280	5	we	we	PRON
ejpam-1675	280	6	summarize	summarize	VERB
ejpam-1675	280	7	our	our	PRON
ejpam-1675	280	8	result	result	NOUN
ejpam-1675	280	9	of	of	ADP
ejpam-1675	280	10	percent	percent	NOUN
ejpam-1675	280	11	hit	hit	VERB
ejpam-1675	280	12	ratios	ratio	NOUN
ejpam-1675	280	13	of	of	ADP
ejpam-1675	280	14	the	the	DET
ejpam-1675	280	15	three	three	NUM
ejpam-1675	280	16	ams	am	NOUN
ejpam-1675	280	17	,	,	PUNCT
ejpam-1675	280	18	aic	aic	PROPN
ejpam-1675	280	19	caic	caic	PROPN
ejpam-1675	280	20	,	,	PUNCT
ejpam-1675	280	21	caic	caic	PROPN
ejpam-1675	280	22	f	f	PROPN
ejpam-1675	280	23	,	,	PUNCT
ejpam-1675	280	24	bms	bms	PROPN
ejpam-1675	280	25	,	,	PUNCT
ejpam-1675	280	26	icom	icom	PROPN
ejpam-1675	280	27	p	p	PROPN
ejpam-1675	280	28	,	,	PUNCT
ejpam-1675	280	29	icom	icom	PROPN
ejpam-1675	280	30	p(i	p(i	PROPN
ejpam-1675	280	31	f	f	PROPN
ejpam-1675	280	32	i	i	PRON
ejpam-1675	280	33	m	m	PROPN
ejpam-1675	280	34	)	)	PUNCT
ejpam-1675	280	35	,	,	PUNCT
ejpam-1675	280	36	icom	icom	PROPN
ejpam-1675	280	37	p(i	p(i	PROPN
ejpam-1675	280	38	f	f	PROPN
ejpam-1675	280	39	im)peu	im)peu	PROPN
ejpam-1675	280	40	,	,	PUNCT
ejpam-1675	280	41	icom	icom	PROPN
ejpam-1675	280	42	p(i	p(i	PROPN
ejpam-1675	280	43	f	f	PROPN
ejpam-1675	280	44	im)peu_miss	im)peu_miss	PROPN
ejpam-1675	280	45	,	,	PUNCT
ejpam-1675	280	46	c	c	PROPN
ejpam-1675	280	47	icom	icom	PROPN
ejpam-1675	280	48	p(i	p(i	PROPN
ejpam-1675	280	49	f	f	PROPN
ejpam-1675	280	50	im)peu	im)peu	X
ejpam-1675	280	51	,	,	PUNCT
ejpam-1675	280	52	and	and	CCONJ
ejpam-1675	280	53	c	c	PROPN
ejpam-1675	280	54	icom	icom	PROPN
ejpam-1675	280	55	p(i	p(i	PROPN
ejpam-1675	280	56	f	f	PROPN
ejpam-1675	280	57	im)peu_miss	im)peu_miss	PART
ejpam-1675	280	58	criteria	criterion	NOUN
ejpam-1675	280	59	,	,	PUNCT
ejpam-1675	280	60	for	for	ADP
ejpam-1675	280	61	each	each	DET
ejpam-1675	280	62	sample	sample	NOUN
ejpam-1675	280	63	size	size	NOUN
ejpam-1675	280	64	.	.	PUNCT
ejpam-1675	281	1	we	we	PRON
ejpam-1675	281	2	note	note	VERB
ejpam-1675	281	3	that	that	SCONJ
ejpam-1675	281	4	caic	caic	PROPN
ejpam-1675	281	5	,	,	PUNCT
ejpam-1675	281	6	caic	caic	PROPN
ejpam-1675	281	7	f	f	PROPN
ejpam-1675	281	8	,	,	PUNCT
ejpam-1675	281	9	bms	bms	PROPN
ejpam-1675	281	10	,	,	PUNCT
ejpam-1675	281	11	icom	icom	PROPN
ejpam-1675	281	12	p	p	PROPN
ejpam-1675	281	13	,	,	PUNCT
ejpam-1675	281	14	icom	icom	PROPN
ejpam-1675	281	15	p(i	p(i	PROPN
ejpam-1675	281	16	f	f	PROPN
ejpam-1675	281	17	i	i	PRON
ejpam-1675	281	18	m	m	PROPN
ejpam-1675	281	19	)	)	PUNCT
ejpam-1675	281	20	,	,	PUNCT
ejpam-1675	281	21	icom	icom	PROPN
ejpam-1675	281	22	p(i	p(i	PROPN
ejpam-1675	281	23	f	f	PROPN
ejpam-1675	281	24	im)peu	im)peu	PROPN
ejpam-1675	281	25	,	,	PUNCT
ejpam-1675	281	26	icom	icom	PROPN
ejpam-1675	281	27	p(i	p(i	PROPN
ejpam-1675	281	28	f	f	PROPN
ejpam-1675	281	29	im)peu_miss	im)peu_miss	PROPN
ejpam-1675	281	30	,	,	PUNCT
ejpam-1675	281	31	c	c	PROPN
ejpam-1675	281	32	icom	icom	PROPN
ejpam-1675	281	33	p(i	p(i	PROPN
ejpam-1675	281	34	f	f	PROPN
ejpam-1675	281	35	im)peu	im)peu	X
ejpam-1675	281	36	,	,	PUNCT
ejpam-1675	281	37	and	and	CCONJ
ejpam-1675	281	38	c	c	PROPN
ejpam-1675	281	39	icom	icom	PROPN
ejpam-1675	281	40	p(i	p(i	PROPN
ejpam-1675	281	41	f	f	PROPN
ejpam-1675	281	42	im)peu_miss	im)peu_miss	CCONJ
ejpam-1675	281	43	all	all	PRON
ejpam-1675	281	44	hit	hit	VERB
ejpam-1675	281	45	the	the	DET
ejpam-1675	281	46	pseudo	pseudo	NOUN
ejpam-1675	281	47	true	true	ADJ
ejpam-1675	281	48	am2	am2	X
ejpam-1675	281	49	with	with	ADP
ejpam-1675	281	50	very	very	ADV
ejpam-1675	281	51	high	high	ADJ
ejpam-1675	281	52	frequencies	frequency	NOUN
ejpam-1675	281	53	.	.	PUNCT
ejpam-1675	282	1	specifically	specifically	ADV
ejpam-1675	282	2	the	the	DET
ejpam-1675	282	3	performances	performance	NOUN
ejpam-1675	282	4	of	of	ADP
ejpam-1675	282	5	caic	caic	PROPN
ejpam-1675	282	6	,	,	PUNCT
ejpam-1675	282	7	caic	caic	PROPN
ejpam-1675	282	8	f	f	PROPN
ejpam-1675	282	9	,	,	PUNCT
ejpam-1675	282	10	bms	bms	PROPN
ejpam-1675	282	11	,	,	PUNCT
ejpam-1675	282	12	c	c	PROPN
ejpam-1675	282	13	icom	icom	PROPN
ejpam-1675	282	14	p(i	p(i	PROPN
ejpam-1675	282	15	f	f	PROPN
ejpam-1675	282	16	im)peu	im)peu	X
ejpam-1675	282	17	,	,	PUNCT
ejpam-1675	282	18	and	and	CCONJ
ejpam-1675	282	19	c	c	PROPN
ejpam-1675	282	20	icom	icom	PROPN
ejpam-1675	282	21	p(i	p(i	PROPN
ejpam-1675	282	22	f	f	PROPN
ejpam-1675	282	23	im)peu_miss	im)peu_miss	VERB
ejpam-1675	282	24	are	be	AUX
ejpam-1675	282	25	outstanding	outstanding	ADJ
ejpam-1675	282	26	and	and	CCONJ
ejpam-1675	282	27	all	all	PRON
ejpam-1675	282	28	above	above	ADP
ejpam-1675	282	29	90	90	NUM
ejpam-1675	282	30	%	%	NOUN
ejpam-1675	282	31	.	.	PUNCT
ejpam-1675	283	1	we	we	PRON
ejpam-1675	283	2	further	far	ADV
ejpam-1675	283	3	observe	observe	VERB
ejpam-1675	283	4	that	that	SCONJ
ejpam-1675	283	5	aic	aic	PROPN
ejpam-1675	283	6	’s	’s	PART
ejpam-1675	283	7	performance	performance	NOUN
ejpam-1675	283	8	is	be	AUX
ejpam-1675	283	9	not	not	PART
ejpam-1675	283	10	satisfactory	satisfactory	ADJ
ejpam-1675	283	11	as	as	SCONJ
ejpam-1675	283	12	the	the	DET
ejpam-1675	283	13	sample	sample	NOUN
ejpam-1675	283	14	size	size	NOUN
ejpam-1675	283	15	increases	increase	NOUN
ejpam-1675	283	16	.	.	PUNCT
ejpam-1675	284	1	for	for	ADP
ejpam-1675	284	2	sample	sample	NOUN
ejpam-1675	284	3	sizes	size	NOUN
ejpam-1675	284	4	n	n	X
ejpam-1675	284	5	=	=	SYM
ejpam-1675	284	6	100	100	NUM
ejpam-1675	284	7	,	,	PUNCT
ejpam-1675	284	8	aic	aic	PROPN
ejpam-1675	284	9	picks	pick	VERB
ejpam-1675	284	10	am2	am2	DET
ejpam-1675	284	11	84	84	NUM
ejpam-1675	284	12	%	%	NOUN
ejpam-1675	284	13	of	of	ADP
ejpam-1675	284	14	the	the	DET
ejpam-1675	284	15	time	time	NOUN
ejpam-1675	284	16	,	,	PUNCT
ejpam-1675	284	17	and	and	CCONJ
ejpam-1675	284	18	as	as	SCONJ
ejpam-1675	284	19	n	n	PRON
ejpam-1675	284	20	gets	get	VERB
ejpam-1675	284	21	large	large	ADJ
ejpam-1675	284	22	,	,	PUNCT
ejpam-1675	284	23	aic	aic	PROPN
ejpam-1675	284	24	’s	’s	PART
ejpam-1675	284	25	hit	hit	VERB
ejpam-1675	284	26	percentage	percentage	NOUN
ejpam-1675	284	27	diminishes	diminish	VERB
ejpam-1675	284	28	,	,	PUNCT
ejpam-1675	284	29	and	and	CCONJ
ejpam-1675	284	30	deteriorates	deteriorate	VERB
ejpam-1675	284	31	.	.	PUNCT
ejpam-1675	285	1	we	we	PRON
ejpam-1675	285	2	know	know	VERB
ejpam-1675	285	3	that	that	SCONJ
ejpam-1675	285	4	aic	aic	PROPN
ejpam-1675	285	5	is	be	AUX
ejpam-1675	285	6	not	not	PART
ejpam-1675	285	7	a	a	DET
ejpam-1675	285	8	consistent	consistent	ADJ
ejpam-1675	285	9	criterion	criterion	NOUN
ejpam-1675	285	10	.	.	PUNCT
ejpam-1675	286	1	specifically	specifically	ADV
ejpam-1675	286	2	,	,	PUNCT
ejpam-1675	286	3	aic	aic	PROPN
ejpam-1675	286	4	leans	lean	VERB
ejpam-1675	286	5	toward	toward	ADP
ejpam-1675	286	6	the	the	DET
ejpam-1675	286	7	am1	am1	PROPN
ejpam-1675	286	8	which	which	PRON
ejpam-1675	286	9	is	be	AUX
ejpam-1675	286	10	an	an	DET
ejpam-1675	286	11	overfitting	overfitte	VERB
ejpam-1675	286	12	model	model	NOUN
ejpam-1675	286	13	which	which	PRON
ejpam-1675	286	14	is	be	AUX
ejpam-1675	286	15	the	the	DET
ejpam-1675	286	16	behaviour	behaviour	NOUN
ejpam-1675	286	17	that	that	PRON
ejpam-1675	286	18	is	be	AUX
ejpam-1675	286	19	often	often	ADV
ejpam-1675	286	20	demonstrated	demonstrate	VERB
ejpam-1675	286	21	in	in	ADP
ejpam-1675	286	22	the	the	DET
ejpam-1675	286	23	literature	literature	NOUN
ejpam-1675	286	24	about	about	ADP
ejpam-1675	286	25	aic	aic	PROPN
ejpam-1675	286	26	.	.	PUNCT
ejpam-1675	287	1	of	of	ADV
ejpam-1675	287	2	course	course	NOUN
ejpam-1675	287	3	one	one	PRON
ejpam-1675	287	4	should	should	AUX
ejpam-1675	287	5	note	note	VERB
ejpam-1675	287	6	that	that	SCONJ
ejpam-1675	287	7	,	,	PUNCT
ejpam-1675	287	8	the	the	DET
ejpam-1675	287	9	large	large	ADJ
ejpam-1675	287	10	scale	scale	NOUN
ejpam-1675	287	11	monte	monte	PROPN
ejpam-1675	287	12	carlo	carlo	PROPN
ejpam-1675	287	13	simulation	simulation	PROPN
ejpam-1675	287	14	experiment	experiment	NOUN
ejpam-1675	287	15	we	we	PRON
ejpam-1675	287	16	performed	perform	VERB
ejpam-1675	287	17	is	be	AUX
ejpam-1675	287	18	only	only	ADV
ejpam-1675	287	19	using	use	VERB
ejpam-1675	287	20	one	one	NUM
ejpam-1675	287	21	model	model	NOUN
ejpam-1675	287	22	set	set	VERB
ejpam-1675	287	23	here	here	ADV
ejpam-1675	287	24	.	.	PUNCT
ejpam-1675	288	1	this	this	PRON
ejpam-1675	288	2	can	can	AUX
ejpam-1675	288	3	be	be	AUX
ejpam-1675	288	4	easily	easily	ADV
ejpam-1675	288	5	extended	extend	VERB
ejpam-1675	288	6	to	to	ADP
ejpam-1675	288	7	a	a	DET
ejpam-1675	288	8	large	large	ADJ
ejpam-1675	288	9	dimensional	dimensional	ADJ
ejpam-1675	288	10	other	other	ADJ
ejpam-1675	288	11	model	model	NOUN
ejpam-1675	288	12	settings	setting	NOUN
ejpam-1675	288	13	to	to	PART
ejpam-1675	288	14	further	far	ADV
ejpam-1675	288	15	study	study	VERB
ejpam-1675	288	16	the	the	DET
ejpam-1675	288	17	performances	performance	NOUN
ejpam-1675	288	18	of	of	ADP
ejpam-1675	288	19	these	these	DET
ejpam-1675	288	20	criteria	criterion	NOUN
ejpam-1675	288	21	in	in	ADP
ejpam-1675	288	22	sem	sem	PROPN
ejpam-1675	288	23	.	.	PUNCT
ejpam-1675	289	1	this	this	PRON
ejpam-1675	289	2	requires	require	VERB
ejpam-1675	289	3	high	high	ADJ
ejpam-1675	289	4	speed	speed	NOUN
ejpam-1675	289	5	computation	computation	NOUN
ejpam-1675	289	6	and	and	CCONJ
ejpam-1675	289	7	computational	computational	ADJ
ejpam-1675	289	8	capability	capability	NOUN
ejpam-1675	289	9	on	on	ADP
ejpam-1675	289	10	a	a	DET
ejpam-1675	289	11	super	super	ADJ
ejpam-1675	289	12	computer	computer	NOUN
ejpam-1675	289	13	and	and	CCONJ
ejpam-1675	289	14	a	a	DET
ejpam-1675	289	15	stand	stand	NOUN
ejpam-1675	289	16	alone	alone	ADJ
ejpam-1675	289	17	sem	sem	PROPN
ejpam-1675	289	18	software	software	NOUN
ejpam-1675	289	19	to	to	PART
ejpam-1675	289	20	carry	carry	VERB
ejpam-1675	289	21	out	out	ADP
ejpam-1675	289	22	the	the	DET
ejpam-1675	289	23	task	task	NOUN
ejpam-1675	289	24	that	that	PRON
ejpam-1675	289	25	is	be	AUX
ejpam-1675	289	26	limited	limit	VERB
ejpam-1675	289	27	at	at	ADP
ejpam-1675	289	28	this	this	DET
ejpam-1675	289	29	point	point	NOUN
ejpam-1675	289	30	.	.	PUNCT
ejpam-1675	290	1	5.2	5.2	NUM
ejpam-1675	290	2	.	.	PUNCT
ejpam-1675	291	1	a	a	DET
ejpam-1675	291	2	real	real	ADJ
ejpam-1675	291	3	data	datum	NOUN
ejpam-1675	291	4	example	example	NOUN
ejpam-1675	291	5	in	in	ADP
ejpam-1675	291	6	market	market	NOUN
ejpam-1675	291	7	research	research	NOUN
ejpam-1675	291	8	in	in	ADP
ejpam-1675	291	9	this	this	DET
ejpam-1675	291	10	example	example	NOUN
ejpam-1675	291	11	,	,	PUNCT
ejpam-1675	291	12	we	we	PRON
ejpam-1675	291	13	apply	apply	VERB
ejpam-1675	291	14	the	the	DET
ejpam-1675	291	15	information	information	NOUN
ejpam-1675	291	16	criteria	criterion	NOUN
ejpam-1675	291	17	to	to	ADP
ejpam-1675	291	18	a	a	DET
ejpam-1675	291	19	real	real	ADJ
ejpam-1675	291	20	data	datum	NOUN
ejpam-1675	291	21	set	set	VERB
ejpam-1675	291	22	from	from	ADP
ejpam-1675	291	23	a	a	DET
ejpam-1675	291	24	soft	soft	ADJ
ejpam-1675	291	25	drink	drink	NOUN
ejpam-1675	291	26	company	company	NOUN
ejpam-1675	291	27	in	in	ADP
ejpam-1675	291	28	turkey	turkey	PROPN
ejpam-1675	291	29	.	.	PUNCT
ejpam-1675	292	1	for	for	ADP
ejpam-1675	292	2	propriety	propriety	NOUN
ejpam-1675	292	3	reasons	reason	NOUN
ejpam-1675	292	4	we	we	PRON
ejpam-1675	292	5	can	can	AUX
ejpam-1675	292	6	not	not	PART
ejpam-1675	292	7	disclose	disclose	VERB
ejpam-1675	292	8	the	the	DET
ejpam-1675	292	9	name	name	NOUN
ejpam-1675	292	10	of	of	ADP
ejpam-1675	292	11	the	the	DET
ejpam-1675	292	12	company	company	NOUN
ejpam-1675	292	13	.	.	PUNCT
ejpam-1675	293	1	the	the	DET
ejpam-1675	293	2	data	datum	NOUN
ejpam-1675	293	3	set	set	VERB
ejpam-1675	293	4	in	in	ADP
ejpam-1675	293	5	this	this	DET
ejpam-1675	293	6	study	study	NOUN
ejpam-1675	293	7	consists	consist	VERB
ejpam-1675	293	8	of	of	ADP
ejpam-1675	293	9	a	a	DET
ejpam-1675	293	10	sample	sample	NOUN
ejpam-1675	293	11	of	of	ADP
ejpam-1675	293	12	n	n	NOUN
ejpam-1675	293	13	=	=	SYM
ejpam-1675	293	14	135	135	NUM
ejpam-1675	293	15	marketing	marketing	NOUN
ejpam-1675	293	16	surveys	survey	NOUN
ejpam-1675	293	17	to	to	PART
ejpam-1675	293	18	study	study	VERB
ejpam-1675	293	19	the	the	DET
ejpam-1675	293	20	product	product	NOUN
ejpam-1675	293	21	quality	quality	NOUN
ejpam-1675	293	22	and	and	CCONJ
ejpam-1675	293	23	to	to	PART
ejpam-1675	293	24	build	build	VERB
ejpam-1675	293	25	a	a	DET
ejpam-1675	293	26	predictive	predictive	ADJ
ejpam-1675	293	27	operating	operating	NOUN
ejpam-1675	293	28	model	model	NOUN
ejpam-1675	293	29	for	for	ADP
ejpam-1675	293	30	the	the	DET
ejpam-1675	293	31	soft	soft	ADJ
ejpam-1675	293	32	drink	drink	NOUN
ejpam-1675	293	33	company	company	NOUN
ejpam-1675	293	34	.	.	PUNCT
ejpam-1675	294	1	the	the	DET
ejpam-1675	294	2	goal	goal	NOUN
ejpam-1675	294	3	of	of	ADP
ejpam-1675	294	4	this	this	DET
ejpam-1675	294	5	survey	survey	NOUN
ejpam-1675	294	6	was	be	AUX
ejpam-1675	294	7	to	to	PART
ejpam-1675	294	8	enhance	enhance	VERB
ejpam-1675	294	9	the	the	DET
ejpam-1675	294	10	market	market	NOUN
ejpam-1675	294	11	positioning	positioning	NOUN
ejpam-1675	294	12	and	and	CCONJ
ejpam-1675	294	13	determine	determine	VERB
ejpam-1675	294	14	the	the	DET
ejpam-1675	294	15	influence	influence	NOUN
ejpam-1675	294	16	of	of	ADP
ejpam-1675	294	17	the	the	DET
ejpam-1675	294	18	investment	investment	NOUN
ejpam-1675	294	19	of	of	ADP
ejpam-1675	294	20	the	the	DET
ejpam-1675	294	21	company	company	NOUN
ejpam-1675	294	22	on	on	ADP
ejpam-1675	294	23	their	their	PRON
ejpam-1675	294	24	marketing	marketing	NOUN
ejpam-1675	294	25	campaign	campaign	NOUN
ejpam-1675	294	26	.	.	PUNCT
ejpam-1675	295	1	for	for	SCONJ
ejpam-1675	295	2	this	this	DET
ejpam-1675	295	3	data	datum	NOUN
ejpam-1675	295	4	set	set	VERB
ejpam-1675	295	5	we	we	PRON
ejpam-1675	295	6	have	have	VERB
ejpam-1675	295	7	seven	seven	NUM
ejpam-1675	295	8	characteristics	characteristic	NOUN
ejpam-1675	295	9	which	which	PRON
ejpam-1675	295	10	are	be	AUX
ejpam-1675	295	11	measured	measure	VERB
ejpam-1675	295	12	to	to	PART
ejpam-1675	295	13	establish	establish	VERB
ejpam-1675	295	14	the	the	DET
ejpam-1675	295	15	companies	company	NOUN
ejpam-1675	295	16	objectives	objective	NOUN
ejpam-1675	295	17	.	.	PUNCT
ejpam-1675	296	1	these	these	DET
ejpam-1675	296	2	seven	seven	NUM
ejpam-1675	296	3	characteristics	characteristic	NOUN
ejpam-1675	296	4	are	be	AUX
ejpam-1675	296	5	:	:	PUNCT
ejpam-1675	296	6	refreshing	refreshing	ADJ
ejpam-1675	296	7	,	,	PUNCT
ejpam-1675	296	8	tastes	taste	VERB
ejpam-1675	296	9	great	great	ADJ
ejpam-1675	296	10	,	,	PUNCT
ejpam-1675	296	11	good	good	ADJ
ejpam-1675	296	12	with	with	ADP
ejpam-1675	296	13	meal	meal	NOUN
ejpam-1675	296	14	,	,	PUNCT
ejpam-1675	296	15	exhilarating	exhilarating	ADJ
ejpam-1675	296	16	,	,	PUNCT
ejpam-1675	296	17	feels	feel	VERB
ejpam-1675	296	18	good	good	ADJ
ejpam-1675	296	19	,	,	PUNCT
ejpam-1675	296	20	worth	worth	ADJ
ejpam-1675	296	21	the	the	DET
ejpam-1675	296	22	money	money	NOUN
ejpam-1675	296	23	,	,	PUNCT
ejpam-1675	296	24	and	and	CCONJ
ejpam-1675	296	25	brands	brand	NOUN
ejpam-1675	296	26	having	have	VERB
ejpam-1675	296	27	products	product	NOUN
ejpam-1675	296	28	of	of	ADP
ejpam-1675	296	29	good	good	ADJ
ejpam-1675	296	30	quality	quality	NOUN
ejpam-1675	296	31	.	.	PUNCT
ejpam-1675	297	1	since	since	SCONJ
ejpam-1675	297	2	we	we	PRON
ejpam-1675	297	3	do	do	AUX
ejpam-1675	297	4	not	not	PART
ejpam-1675	297	5	know	know	VERB
ejpam-1675	297	6	a	a	DET
ejpam-1675	297	7	priori	priori	ADJ
ejpam-1675	297	8	the	the	DET
ejpam-1675	297	9	generating	generate	VERB
ejpam-1675	297	10	model	model	NOUN
ejpam-1675	297	11	for	for	ADP
ejpam-1675	297	12	this	this	DET
ejpam-1675	297	13	real	real	ADJ
ejpam-1675	297	14	data	datum	NOUN
ejpam-1675	297	15	set	set	VERB
ejpam-1675	297	16	,	,	PUNCT
ejpam-1675	297	17	first	first	ADV
ejpam-1675	297	18	we	we	PRON
ejpam-1675	297	19	applied	apply	VERB
ejpam-1675	297	20	an	an	DET
ejpam-1675	297	21	exploratory	exploratory	ADJ
ejpam-1675	297	22	factor	factor	NOUN
ejpam-1675	297	23	analysis	analysis	NOUN
ejpam-1675	297	24	(	(	PUNCT
ejpam-1675	297	25	efa	efa	PROPN
ejpam-1675	297	26	)	)	PUNCT
ejpam-1675	297	27	to	to	PART
ejpam-1675	297	28	learn	learn	VERB
ejpam-1675	297	29	which	which	DET
ejpam-1675	297	30	factors	factor	NOUN
ejpam-1675	297	31	were	be	AUX
ejpam-1675	297	32	related	relate	VERB
ejpam-1675	297	33	to	to	ADP
ejpam-1675	297	34	the	the	DET
ejpam-1675	297	35	original	original	ADJ
ejpam-1675	297	36	variables	variable	NOUN
ejpam-1675	297	37	.	.	PUNCT
ejpam-1675	298	1	according	accord	VERB
ejpam-1675	298	2	to	to	ADP
ejpam-1675	298	3	efa	efa	PROPN
ejpam-1675	298	4	results	result	NOUN
ejpam-1675	298	5	,	,	PUNCT
ejpam-1675	298	6	three	three	NUM
ejpam-1675	298	7	latent	latent	NOUN
ejpam-1675	298	8	variables	variable	NOUN
ejpam-1675	298	9	were	be	AUX
ejpam-1675	298	10	named	name	VERB
ejpam-1675	298	11	as	as	ADP
ejpam-1675	298	12	“	"	PUNCT
ejpam-1675	298	13	taste	taste	NOUN
ejpam-1675	298	14	”	"	PUNCT
ejpam-1675	298	15	,	,	PUNCT
ejpam-1675	298	16	“	"	PUNCT
ejpam-1675	298	17	feeling	feeling	NOUN
ejpam-1675	298	18	”	"	PUNCT
ejpam-1675	298	19	,	,	PUNCT
ejpam-1675	298	20	and	and	CCONJ
ejpam-1675	298	21	“	"	PUNCT
ejpam-1675	298	22	quality	quality	NOUN
ejpam-1675	298	23	”	"	PUNCT
ejpam-1675	298	24	,	,	PUNCT
ejpam-1675	298	25	based	base	VERB
ejpam-1675	298	26	on	on	ADP
ejpam-1675	298	27	pre	pre	ADJ
ejpam-1675	298	28	-	-	ADJ
ejpam-1675	298	29	determined	determined	ADJ
ejpam-1675	298	30	factors	factor	NOUN
ejpam-1675	298	31	.	.	PUNCT
ejpam-1675	299	1	in	in	ADP
ejpam-1675	299	2	the	the	DET
ejpam-1675	299	3	efa	efa	PROPN
ejpam-1675	299	4	model	model	NOUN
ejpam-1675	299	5	,	,	PUNCT
ejpam-1675	299	6	variables	variable	NOUN
ejpam-1675	299	7	which	which	PRON
ejpam-1675	299	8	were	be	AUX
ejpam-1675	299	9	loaded	load	VERB
ejpam-1675	299	10	with	with	ADP
ejpam-1675	299	11	factor	factor	NOUN
ejpam-1675	299	12	1	1	NUM
ejpam-1675	299	13	were	be	AUX
ejpam-1675	299	14	:	:	PUNCT
ejpam-1675	299	15	“	"	PUNCT
ejpam-1675	299	16	refreshing	refreshing	ADJ
ejpam-1675	299	17	”	"	PUNCT
ejpam-1675	299	18	,	,	PUNCT
ejpam-1675	299	19	“	"	PUNCT
ejpam-1675	299	20	tastes	taste	VERB
ejpam-1675	299	21	great	great	ADJ
ejpam-1675	299	22	”	"	PUNCT
ejpam-1675	299	23	,	,	PUNCT
ejpam-1675	299	24	and	and	CCONJ
ejpam-1675	299	25	“	"	PUNCT
ejpam-1675	299	26	good	good	ADJ
ejpam-1675	299	27	with	with	ADP
ejpam-1675	299	28	meal	meal	NOUN
ejpam-1675	299	29	”	"	PUNCT
ejpam-1675	299	30	.	.	PUNCT
ejpam-1675	300	1	these	these	PRON
ejpam-1675	300	2	were	be	AUX
ejpam-1675	300	3	taken	take	VERB
ejpam-1675	300	4	as	as	ADP
ejpam-1675	300	5	exogenous	exogenous	ADJ
ejpam-1675	300	6	variables	variable	NOUN
ejpam-1675	300	7	and	and	CCONJ
ejpam-1675	300	8	related	relate	VERB
ejpam-1675	300	9	to	to	ADP
ejpam-1675	300	10	the	the	DET
ejpam-1675	300	11	latent	latent	NOUN
ejpam-1675	300	12	exogenous	exogenous	ADJ
ejpam-1675	300	13	variable	variable	ADJ
ejpam-1675	300	14	“	"	PUNCT
ejpam-1675	300	15	taste	taste	NOUN
ejpam-1675	300	16	”	"	PUNCT
ejpam-1675	300	17	.	.	PUNCT
ejpam-1675	301	1	variables	variable	NOUN
ejpam-1675	301	2	“	"	PUNCT
ejpam-1675	301	3	exhilarating	exhilarate	VERB
ejpam-1675	301	4	”	"	PUNCT
ejpam-1675	301	5	,	,	PUNCT
ejpam-1675	301	6	and	and	CCONJ
ejpam-1675	301	7	“	"	PUNCT
ejpam-1675	301	8	feels	feel	VERB
ejpam-1675	301	9	good	good	ADJ
ejpam-1675	301	10	”	"	PUNCT
ejpam-1675	301	11	were	be	AUX
ejpam-1675	301	12	loaded	load	VERB
ejpam-1675	301	13	with	with	ADP
ejpam-1675	301	14	factor	factor	NOUN
ejpam-1675	301	15	2	2	NUM
ejpam-1675	301	16	.	.	PUNCT
ejpam-1675	302	1	these	these	PRON
ejpam-1675	302	2	were	be	AUX
ejpam-1675	302	3	taken	take	VERB
ejpam-1675	302	4	as	as	ADP
ejpam-1675	302	5	exogenous	exogenous	ADJ
ejpam-1675	302	6	variables	variable	NOUN
ejpam-1675	302	7	and	and	CCONJ
ejpam-1675	302	8	related	relate	VERB
ejpam-1675	302	9	to	to	ADP
ejpam-1675	302	10	the	the	DET
ejpam-1675	302	11	latent	latent	ADJ
ejpam-1675	302	12	exogenous	exogenous	ADJ
ejpam-1675	302	13	variable	variable	NOUN
ejpam-1675	302	14	;	;	PUNCT
ejpam-1675	302	15	“	"	PUNCT
ejpam-1675	302	16	feeling	feeling	NOUN
ejpam-1675	302	17	.	.	PUNCT
ejpam-1675	302	18	”	"	PUNCT
ejpam-1675	303	1	finally	finally	ADV
ejpam-1675	303	2	,	,	PUNCT
ejpam-1675	303	3	variables	variable	NOUN
ejpam-1675	303	4	“	"	PUNCT
ejpam-1675	303	5	worth	worth	ADJ
ejpam-1675	303	6	money	money	NOUN
ejpam-1675	303	7	”	"	PUNCT
ejpam-1675	303	8	and	and	CCONJ
ejpam-1675	303	9	“	"	PUNCT
ejpam-1675	303	10	quality	quality	NOUN
ejpam-1675	303	11	products	product	NOUN
ejpam-1675	303	12	”	"	PUNCT
ejpam-1675	303	13	were	be	AUX
ejpam-1675	303	14	loaded	load	VERB
ejpam-1675	303	15	with	with	ADP
ejpam-1675	303	16	factor	factor	NOUN
ejpam-1675	303	17	3	3	NUM
ejpam-1675	303	18	.	.	PUNCT
ejpam-1675	304	1	these	these	PRON
ejpam-1675	304	2	were	be	AUX
ejpam-1675	304	3	taken	take	VERB
ejpam-1675	304	4	as	as	ADP
ejpam-1675	304	5	endogenous	endogenous	ADJ
ejpam-1675	304	6	variables	variable	NOUN
ejpam-1675	304	7	and	and	CCONJ
ejpam-1675	304	8	related	relate	VERB
ejpam-1675	304	9	to	to	ADP
ejpam-1675	304	10	the	the	DET
ejpam-1675	304	11	latent	latent	NOUN
ejpam-1675	304	12	endogenous	endogenous	ADJ
ejpam-1675	304	13	variable	variable	ADJ
ejpam-1675	304	14	“	"	PUNCT
ejpam-1675	304	15	quality	quality	NOUN
ejpam-1675	304	16	”	"	PUNCT
ejpam-1675	304	17	.	.	PUNCT
ejpam-1675	305	1	e.	e.	PROPN
ejpam-1675	305	2	howe	howe	PROPN
ejpam-1675	305	3	,	,	PUNCT
ejpam-1675	305	4	h.	h.	PROPN
ejpam-1675	305	5	bozdogan	bozdogan	PROPN
ejpam-1675	305	6	,	,	PUNCT
ejpam-1675	305	7	g.	g.	PROPN
ejpam-1675	305	8	kıroğlu	kıroğlu	PROPN
ejpam-1675	305	9	/	/	SYM
ejpam-1675	305	10	eur	eur	PROPN
ejpam-1675	305	11	.	.	PUNCT
ejpam-1675	306	1	j.	j.	PROPN
ejpam-1675	306	2	pure	pure	PROPN
ejpam-1675	306	3	appl	appl	PROPN
ejpam-1675	306	4	.	.	PROPN
ejpam-1675	306	5	math	math	PROPN
ejpam-1675	306	6	,	,	PUNCT
ejpam-1675	306	7	5	5	NUM
ejpam-1675	306	8	(	(	PUNCT
ejpam-1675	306	9	2012	2012	NUM
ejpam-1675	306	10	)	)	PUNCT
ejpam-1675	306	11	,	,	PUNCT
ejpam-1675	306	12	282	282	NUM
ejpam-1675	306	13	-	-	SYM
ejpam-1675	306	14	301	301	NUM
ejpam-1675	306	15	297	297	NUM
ejpam-1675	306	16	figure	figure	NOUN
ejpam-1675	306	17	2	2	NUM
ejpam-1675	306	18	:	:	PUNCT
ejpam-1675	306	19	full	full	ADJ
ejpam-1675	306	20	sem	sem	NOUN
ejpam-1675	306	21	with	with	ADP
ejpam-1675	306	22	17	17	NUM
ejpam-1675	306	23	free	free	ADJ
ejpam-1675	306	24	parameters	parameter	NOUN
ejpam-1675	306	25	(	(	PUNCT
ejpam-1675	306	26	model	model	NOUN
ejpam-1675	306	27	1	1	NUM
ejpam-1675	306	28	)	)	PUNCT
ejpam-1675	306	29	.	.	PUNCT
ejpam-1675	307	1	figure	figure	VERB
ejpam-1675	307	2	3	3	NUM
ejpam-1675	307	3	:	:	PUNCT
ejpam-1675	307	4	full	full	ADJ
ejpam-1675	307	5	sem	sem	NOUN
ejpam-1675	307	6	with	with	ADP
ejpam-1675	307	7	15	15	NUM
ejpam-1675	307	8	free	free	ADJ
ejpam-1675	307	9	parameters	parameter	NOUN
ejpam-1675	307	10	(	(	PUNCT
ejpam-1675	307	11	model	model	NOUN
ejpam-1675	307	12	2	2	NUM
ejpam-1675	307	13	)	)	PUNCT
ejpam-1675	307	14	.	.	PUNCT
ejpam-1675	308	1	figure	figure	VERB
ejpam-1675	308	2	4	4	NUM
ejpam-1675	308	3	:	:	PUNCT
ejpam-1675	308	4	full	full	ADJ
ejpam-1675	308	5	sem	sem	NOUN
ejpam-1675	308	6	with	with	ADP
ejpam-1675	308	7	13	13	NUM
ejpam-1675	308	8	free	free	ADJ
ejpam-1675	308	9	parameters	parameter	NOUN
ejpam-1675	308	10	(	(	PUNCT
ejpam-1675	308	11	model	model	NOUN
ejpam-1675	308	12	3	3	NUM
ejpam-1675	308	13	)	)	PUNCT
ejpam-1675	308	14	.	.	PUNCT
ejpam-1675	309	1	e.	e.	PROPN
ejpam-1675	309	2	howe	howe	PROPN
ejpam-1675	309	3	,	,	PUNCT
ejpam-1675	309	4	h.	h.	PROPN
ejpam-1675	309	5	bozdogan	bozdogan	PROPN
ejpam-1675	309	6	,	,	PUNCT
ejpam-1675	309	7	g.	g.	PROPN
ejpam-1675	309	8	kıroğlu	kıroğlu	PROPN
ejpam-1675	309	9	/	/	SYM
ejpam-1675	309	10	eur	eur	PROPN
ejpam-1675	309	11	.	.	PUNCT
ejpam-1675	310	1	j.	j.	PROPN
ejpam-1675	310	2	pure	pure	PROPN
ejpam-1675	310	3	appl	appl	PROPN
ejpam-1675	310	4	.	.	PROPN
ejpam-1675	310	5	math	math	PROPN
ejpam-1675	310	6	,	,	PUNCT
ejpam-1675	310	7	5	5	NUM
ejpam-1675	310	8	(	(	PUNCT
ejpam-1675	310	9	2012	2012	NUM
ejpam-1675	310	10	)	)	PUNCT
ejpam-1675	310	11	,	,	PUNCT
ejpam-1675	310	12	282	282	NUM
ejpam-1675	310	13	-	-	SYM
ejpam-1675	310	14	301	301	NUM
ejpam-1675	310	15	298	298	NUM
ejpam-1675	310	16	since	since	SCONJ
ejpam-1675	310	17	the	the	DET
ejpam-1675	310	18	information	information	NOUN
ejpam-1675	310	19	criteria	criterion	NOUN
ejpam-1675	310	20	used	use	VERB
ejpam-1675	310	21	in	in	ADP
ejpam-1675	310	22	the	the	DET
ejpam-1675	310	23	study	study	NOUN
ejpam-1675	310	24	were	be	AUX
ejpam-1675	310	25	not	not	PART
ejpam-1675	310	26	applied	apply	VERB
ejpam-1675	310	27	to	to	ADP
ejpam-1675	310	28	the	the	DET
ejpam-1675	310	29	just	just	ADV
ejpam-1675	310	30	identified	identify	VERB
ejpam-1675	310	31	models	model	NOUN
ejpam-1675	310	32	,	,	PUNCT
ejpam-1675	310	33	over	over	ADV
ejpam-1675	310	34	-	-	PUNCT
ejpam-1675	310	35	identified	identify	VERB
ejpam-1675	310	36	models	model	NOUN
ejpam-1675	310	37	were	be	AUX
ejpam-1675	310	38	chosen	choose	VERB
ejpam-1675	310	39	.	.	PUNCT
ejpam-1675	311	1	in	in	ADP
ejpam-1675	311	2	accordance	accordance	NOUN
ejpam-1675	311	3	with	with	ADP
ejpam-1675	311	4	the	the	DET
ejpam-1675	311	5	t	t	NOUN
ejpam-1675	311	6	-	-	PUNCT
ejpam-1675	311	7	rule	rule	NOUN
ejpam-1675	311	8	[	[	X
ejpam-1675	311	9	19	19	NUM
ejpam-1675	311	10	]	]	PUNCT
ejpam-1675	311	11	,	,	PUNCT
ejpam-1675	311	12	one	one	NUM
ejpam-1675	311	13	of	of	ADP
ejpam-1675	311	14	the	the	DET
ejpam-1675	311	15	rules	rule	NOUN
ejpam-1675	311	16	of	of	ADP
ejpam-1675	311	17	identification	identification	NOUN
ejpam-1675	311	18	must	must	AUX
ejpam-1675	311	19	have	have	VERB
ejpam-1675	311	20	free	free	ADJ
ejpam-1675	311	21	parameters	parameter	NOUN
ejpam-1675	311	22	under	under	ADP
ejpam-1675	311	23	28	28	NUM
ejpam-1675	311	24	to	to	PART
ejpam-1675	311	25	be	be	AUX
ejpam-1675	311	26	over	over	ADP
ejpam-1675	311	27	identified	identify	VERB
ejpam-1675	311	28	.	.	PUNCT
ejpam-1675	312	1	accordingly	accordingly	ADV
ejpam-1675	312	2	,	,	PUNCT
ejpam-1675	312	3	three	three	NUM
ejpam-1675	312	4	different	different	ADJ
ejpam-1675	312	5	models	model	NOUN
ejpam-1675	312	6	with	with	ADP
ejpam-1675	312	7	free	free	ADJ
ejpam-1675	312	8	parameters	parameter	NOUN
ejpam-1675	312	9	,	,	PUNCT
ejpam-1675	312	10	17	17	NUM
ejpam-1675	312	11	,	,	PUNCT
ejpam-1675	312	12	15	15	NUM
ejpam-1675	312	13	,	,	PUNCT
ejpam-1675	312	14	and	and	CCONJ
ejpam-1675	312	15	13	13	NUM
ejpam-1675	312	16	were	be	AUX
ejpam-1675	312	17	compared	compare	VERB
ejpam-1675	312	18	to	to	PART
ejpam-1675	312	19	assess	assess	VERB
ejpam-1675	312	20	the	the	DET
ejpam-1675	312	21	information	information	NOUN
ejpam-1675	312	22	criteria	criterion	NOUN
ejpam-1675	312	23	.	.	PUNCT
ejpam-1675	313	1	the	the	DET
ejpam-1675	313	2	path	path	NOUN
ejpam-1675	313	3	diagram	diagram	NOUN
ejpam-1675	313	4	of	of	ADP
ejpam-1675	313	5	each	each	PRON
ejpam-1675	313	6	of	of	ADP
ejpam-1675	313	7	these	these	DET
ejpam-1675	313	8	three	three	NUM
ejpam-1675	313	9	models	model	NOUN
ejpam-1675	313	10	,	,	PUNCT
ejpam-1675	313	11	obtained	obtain	VERB
ejpam-1675	313	12	from	from	ADP
ejpam-1675	313	13	lisrel	lisrel	NOUN
ejpam-1675	313	14	,	,	PUNCT
ejpam-1675	313	15	are	be	AUX
ejpam-1675	313	16	given	give	VERB
ejpam-1675	313	17	in	in	ADP
ejpam-1675	313	18	figures	figure	NOUN
ejpam-1675	313	19	2	2	NUM
ejpam-1675	313	20	,	,	PUNCT
ejpam-1675	313	21	3	3	NUM
ejpam-1675	313	22	,	,	PUNCT
ejpam-1675	313	23	and	and	CCONJ
ejpam-1675	313	24	4	4	X
ejpam-1675	313	25	.	.	X
ejpam-1675	313	26	model	model	NOUN
ejpam-1675	313	27	1	1	NUM
ejpam-1675	313	28	was	be	AUX
ejpam-1675	313	29	fit	fit	ADJ
ejpam-1675	313	30	to	to	ADP
ejpam-1675	313	31	the	the	DET
ejpam-1675	313	32	data	datum	NOUN
ejpam-1675	313	33	with	with	ADP
ejpam-1675	313	34	17	17	NUM
ejpam-1675	313	35	free	free	ADJ
ejpam-1675	313	36	parameters	parameter	NOUN
ejpam-1675	313	37	in	in	ADP
ejpam-1675	313	38	figure	figure	NOUN
ejpam-1675	313	39	2	2	NUM
ejpam-1675	313	40	with	with	ADP
ejpam-1675	313	41	p−value	p−value	NOUN
ejpam-1675	313	42	=	=	SYM
ejpam-1675	313	43	0.29	0.29	NUM
ejpam-1675	313	44	>	>	SYM
ejpam-1675	313	45	0.05	0.05	NUM
ejpam-1675	313	46	.	.	PUNCT
ejpam-1675	314	1	in	in	ADP
ejpam-1675	314	2	this	this	DET
ejpam-1675	314	3	model	model	NOUN
ejpam-1675	314	4	,	,	PUNCT
ejpam-1675	314	5	the	the	DET
ejpam-1675	314	6	diagonal	diagonal	ADJ
ejpam-1675	314	7	elements	element	NOUN
ejpam-1675	314	8	of	of	ADP
ejpam-1675	314	9	the	the	DET
ejpam-1675	314	10	covariance	covariance	NOUN
ejpam-1675	314	11	of	of	ADP
ejpam-1675	314	12	latent	latent	NOUN
ejpam-1675	314	13	exogenous	exogenous	ADJ
ejpam-1675	314	14	variables	variable	NOUN
ejpam-1675	314	15	and	and	CCONJ
ejpam-1675	314	16	a	a	DET
ejpam-1675	314	17	single	single	ADJ
ejpam-1675	314	18	path	path	NOUN
ejpam-1675	314	19	coefficient	coefficient	NOUN
ejpam-1675	314	20	between	between	ADP
ejpam-1675	314	21	latent	latent	NOUN
ejpam-1675	314	22	and	and	CCONJ
ejpam-1675	314	23	observed	observe	VERB
ejpam-1675	314	24	endogenous	endogenous	ADJ
ejpam-1675	314	25	were	be	AUX
ejpam-1675	314	26	fixed	fix	VERB
ejpam-1675	314	27	.	.	PUNCT
ejpam-1675	315	1	the	the	DET
ejpam-1675	315	2	other	other	ADJ
ejpam-1675	315	3	parameters	parameter	NOUN
ejpam-1675	315	4	were	be	AUX
ejpam-1675	315	5	estimated	estimate	VERB
ejpam-1675	315	6	freely	freely	ADV
ejpam-1675	315	7	.	.	PUNCT
ejpam-1675	316	1	model	model	NOUN
ejpam-1675	316	2	2	2	NUM
ejpam-1675	316	3	was	be	AUX
ejpam-1675	316	4	fit	fit	ADJ
ejpam-1675	316	5	to	to	ADP
ejpam-1675	316	6	the	the	DET
ejpam-1675	316	7	data	datum	NOUN
ejpam-1675	316	8	with	with	ADP
ejpam-1675	316	9	15	15	NUM
ejpam-1675	316	10	free	free	ADJ
ejpam-1675	316	11	parameters	parameter	NOUN
ejpam-1675	316	12	shown	show	VERB
ejpam-1675	316	13	in	in	ADP
ejpam-1675	316	14	figure	figure	NOUN
ejpam-1675	316	15	3	3	NUM
ejpam-1675	316	16	with	with	ADP
ejpam-1675	316	17	p	p	NOUN
ejpam-1675	316	18	−	−	PROPN
ejpam-1675	316	19	value	value	NOUN
ejpam-1675	316	20	=	=	NOUN
ejpam-1675	316	21	0.42	0.42	NUM
ejpam-1675	316	22	>	>	PUNCT
ejpam-1675	316	23	0.05	0.05	NUM
ejpam-1675	316	24	.	.	PUNCT
ejpam-1675	317	1	it	it	PRON
ejpam-1675	317	2	was	be	AUX
ejpam-1675	317	3	restricted	restrict	VERB
ejpam-1675	317	4	by	by	ADP
ejpam-1675	317	5	setting	set	VERB
ejpam-1675	317	6	to	to	ADP
ejpam-1675	317	7	1	1	NUM
ejpam-1675	317	8	a	a	DET
ejpam-1675	317	9	single	single	ADJ
ejpam-1675	317	10	path	path	NOUN
ejpam-1675	317	11	coefficient	coefficient	NOUN
ejpam-1675	317	12	in	in	ADP
ejpam-1675	317	13	each	each	DET
ejpam-1675	317	14	latent	latent	NOUN
ejpam-1675	317	15	variable	variable	NOUN
ejpam-1675	317	16	,	,	PUNCT
ejpam-1675	317	17	and	and	CCONJ
ejpam-1675	317	18	equating	equate	VERB
ejpam-1675	317	19	diagonal	diagonal	ADJ
ejpam-1675	317	20	elements	element	NOUN
ejpam-1675	317	21	of	of	ADP
ejpam-1675	317	22	the	the	DET
ejpam-1675	317	23	covariance	covariance	NOUN
ejpam-1675	317	24	matrix	matrix	NOUN
ejpam-1675	317	25	of	of	ADP
ejpam-1675	317	26	latent	latent	NOUN
ejpam-1675	317	27	variables	variable	NOUN
ejpam-1675	317	28	.	.	PUNCT
ejpam-1675	318	1	in	in	ADP
ejpam-1675	318	2	the	the	DET
ejpam-1675	318	3	case	case	NOUN
ejpam-1675	318	4	of	of	ADP
ejpam-1675	318	5	model	model	NOUN
ejpam-1675	318	6	3	3	NUM
ejpam-1675	318	7	,	,	PUNCT
ejpam-1675	318	8	the	the	DET
ejpam-1675	318	9	model	model	NOUN
ejpam-1675	318	10	was	be	AUX
ejpam-1675	318	11	fit	fit	ADJ
ejpam-1675	318	12	to	to	ADP
ejpam-1675	318	13	the	the	DET
ejpam-1675	318	14	data	datum	NOUN
ejpam-1675	318	15	with	with	ADP
ejpam-1675	318	16	13	13	NUM
ejpam-1675	318	17	free	free	ADJ
ejpam-1675	318	18	parameters	parameter	NOUN
ejpam-1675	318	19	shown	show	VERB
ejpam-1675	318	20	in	in	ADP
ejpam-1675	318	21	figure	figure	NOUN
ejpam-1675	318	22	4	4	NUM
ejpam-1675	318	23	with	with	ADP
ejpam-1675	318	24	p	p	NOUN
ejpam-1675	318	25	−	−	PROPN
ejpam-1675	318	26	value	value	NOUN
ejpam-1675	318	27	=	=	NOUN
ejpam-1675	318	28	0.00009	0.00009	NUM
ejpam-1675	318	29	<	<	X
ejpam-1675	318	30	0.05	0.05	NUM
ejpam-1675	318	31	.	.	PUNCT
ejpam-1675	319	1	it	it	PRON
ejpam-1675	319	2	also	also	ADV
ejpam-1675	319	3	was	be	AUX
ejpam-1675	319	4	restricted	restrict	VERB
ejpam-1675	319	5	by	by	ADP
ejpam-1675	319	6	setting	set	VERB
ejpam-1675	319	7	to	to	ADP
ejpam-1675	319	8	1	1	NUM
ejpam-1675	319	9	as	as	ADP
ejpam-1675	319	10	single	single	ADJ
ejpam-1675	319	11	path	path	NOUN
ejpam-1675	319	12	coefficient	coefficient	NOUN
ejpam-1675	319	13	in	in	ADP
ejpam-1675	319	14	each	each	DET
ejpam-1675	319	15	latent	latent	NOUN
ejpam-1675	319	16	variable	variable	NOUN
ejpam-1675	319	17	,	,	PUNCT
ejpam-1675	319	18	and	and	CCONJ
ejpam-1675	319	19	equating	equate	VERB
ejpam-1675	319	20	the	the	DET
ejpam-1675	319	21	measurement	measurement	NOUN
ejpam-1675	319	22	errors	error	NOUN
ejpam-1675	319	23	of	of	ADP
ejpam-1675	319	24	the	the	DET
ejpam-1675	319	25	observed	observed	ADJ
ejpam-1675	319	26	variables	variable	NOUN
ejpam-1675	319	27	belonging	belong	VERB
ejpam-1675	319	28	to	to	ADP
ejpam-1675	319	29	each	each	DET
ejpam-1675	319	30	latent	latent	NOUN
ejpam-1675	319	31	variable	variable	NOUN
ejpam-1675	319	32	.	.	PUNCT
ejpam-1675	320	1	all	all	DET
ejpam-1675	320	2	information	information	NOUN
ejpam-1675	320	3	criteria	criterion	NOUN
ejpam-1675	320	4	scores	score	NOUN
ejpam-1675	320	5	for	for	ADP
ejpam-1675	320	6	each	each	PRON
ejpam-1675	320	7	of	of	ADP
ejpam-1675	320	8	these	these	DET
ejpam-1675	320	9	three	three	NUM
ejpam-1675	320	10	sems	sem	NOUN
ejpam-1675	320	11	,	,	PUNCT
ejpam-1675	320	12	obtained	obtain	VERB
ejpam-1675	320	13	from	from	ADP
ejpam-1675	320	14	lisrel	lisrel	NOUN
ejpam-1675	320	15	and	and	CCONJ
ejpam-1675	320	16	our	our	PRON
ejpam-1675	320	17	matlab	matlab	PROPN
ejpam-1675	320	18	module	module	NOUN
ejpam-1675	320	19	,	,	PUNCT
ejpam-1675	320	20	are	be	AUX
ejpam-1675	320	21	reported	report	VERB
ejpam-1675	320	22	in	in	ADP
ejpam-1675	320	23	table	table	NOUN
ejpam-1675	320	24	3	3	NUM
ejpam-1675	320	25	.	.	PUNCT
ejpam-1675	321	1	according	accord	VERB
ejpam-1675	321	2	to	to	ADP
ejpam-1675	321	3	the	the	DET
ejpam-1675	321	4	minimum	minimum	NOUN
ejpam-1675	321	5	of	of	ADP
ejpam-1675	321	6	the	the	DET
ejpam-1675	321	7	information	information	NOUN
ejpam-1675	321	8	table	table	NOUN
ejpam-1675	321	9	3	3	NUM
ejpam-1675	321	10	:	:	PUNCT
ejpam-1675	321	11	the	the	DET
ejpam-1675	321	12	values	value	NOUN
ejpam-1675	321	13	of	of	ADP
ejpam-1675	321	14	riteria	riteria	NOUN
ejpam-1675	321	15	for	for	ADP
ejpam-1675	321	16	three	three	NUM
ejpam-1675	321	17	general	general	ADJ
ejpam-1675	321	18	sems	sem	NOUN
ejpam-1675	321	19	.	.	PUNCT
ejpam-1675	322	1	model	model	NOUN
ejpam-1675	322	2	selection	selection	NOUN
ejpam-1675	322	3	criteria	criterion	NOUN
ejpam-1675	322	4	model	model	VERB
ejpam-1675	322	5	1	1	NUM
ejpam-1675	322	6	model	model	NOUN
ejpam-1675	322	7	2	2	NUM
ejpam-1675	322	8	model	model	NOUN
ejpam-1675	322	9	3	3	NUM
ejpam-1675	322	10	aic	aic	PROPN
ejpam-1675	322	11	4218.1	4218.1	NUM
ejpam-1675	322	12	4216.6	4216.6	NUM
ejpam-1675	322	13	4298.8	4298.8	NUM
ejpam-1675	322	14	caic	caic	PROPN
ejpam-1675	322	15	4284.5	4284.5	NUM
ejpam-1675	322	16	4275.2	4275.2	NUM
ejpam-1675	322	17	4349.5	4349.5	NUM
ejpam-1675	322	18	caic	caic	PROPN
ejpam-1675	322	19	f	f	PROPN
ejpam-1675	322	20	4333.8	4333.8	NUM
ejpam-1675	322	21	4322.4	4322.4	NUM
ejpam-1675	322	22	4389.0	4389.0	NUM
ejpam-1675	322	23	bms	bms	PROPN
ejpam-1675	322	24	4319.6	4319.6	NUM
ejpam-1675	322	25	4309.5	4309.5	NUM
ejpam-1675	322	26	4377.6	4377.6	NUM
ejpam-1675	322	27	icom	icom	NOUN
ejpam-1675	322	28	p	p	NOUN
ejpam-1675	322	29	4187.9	4187.9	NUM
ejpam-1675	322	30	4190.5	4190.5	NUM
ejpam-1675	322	31	4275.9	4275.9	NUM
ejpam-1675	322	32	icom	icom	X
ejpam-1675	322	33	p(i	p(i	PROPN
ejpam-1675	322	34	f	f	PROPN
ejpam-1675	322	35	i	i	PRON
ejpam-1675	322	36	m	m	VERB
ejpam-1675	322	37	)	)	PUNCT
ejpam-1675	322	38	4245.7	4245.7	NUM
ejpam-1675	322	39	4248.6	4248.6	NUM
ejpam-1675	322	40	4328.3	4328.3	NUM
ejpam-1675	322	41	icom	icom	PROPN
ejpam-1675	322	42	p(i	p(i	PROPN
ejpam-1675	322	43	f	f	PROPN
ejpam-1675	322	44	im)peu	im)peu	VERB
ejpam-1675	322	45	4279.7	4279.7	NUM
ejpam-1675	322	46	4278.6	4278.6	NUM
ejpam-1675	322	47	4354.3	4354.3	NUM
ejpam-1675	322	48	icom	icom	X
ejpam-1675	322	49	p(i	p(i	PROPN
ejpam-1675	322	50	f	f	PROPN
ejpam-1675	322	51	im)peu_miss	im)peu_miss	VERB
ejpam-1675	322	52	4285.2	4285.2	NUM
ejpam-1675	322	53	4282.9	4282.9	NUM
ejpam-1675	322	54	4357.5	4357.5	NUM
ejpam-1675	322	55	c	c	PROPN
ejpam-1675	322	56	icom	icom	PROPN
ejpam-1675	322	57	p(i	p(i	PROPN
ejpam-1675	322	58	f	f	PROPN
ejpam-1675	322	59	im)peu	im)peu	VERB
ejpam-1675	322	60	4429.4	4429.4	NUM
ejpam-1675	322	61	4410.8	4410.8	NUM
ejpam-1675	322	62	4468.8	4468.8	NUM
ejpam-1675	322	63	c	c	NOUN
ejpam-1675	322	64	icom	icom	X
ejpam-1675	322	65	p(i	p(i	PROPN
ejpam-1675	322	66	f	f	PROPN
ejpam-1675	322	67	im)peu_miss	im)peu_miss	PROPN
ejpam-1675	322	68	4456.8	4456.8	NUM
ejpam-1675	322	69	4432.0	4432.0	NUM
ejpam-1675	322	70	4484.8	4484.8	NUM
ejpam-1675	322	71	criteria	criterion	NOUN
ejpam-1675	322	72	,	,	PUNCT
ejpam-1675	322	73	we	we	PRON
ejpam-1675	322	74	choose	choose	VERB
ejpam-1675	322	75	the	the	DET
ejpam-1675	322	76	“	"	PUNCT
ejpam-1675	322	77	best	good	ADJ
ejpam-1675	322	78	”	"	PUNCT
ejpam-1675	322	79	model	model	NOUN
ejpam-1675	322	80	among	among	ADP
ejpam-1675	322	81	those	those	PRON
ejpam-1675	322	82	compared	compare	VERB
ejpam-1675	322	83	,	,	PUNCT
ejpam-1675	322	84	as	as	ADP
ejpam-1675	322	85	the	the	DET
ejpam-1675	322	86	model	model	NOUN
ejpam-1675	322	87	that	that	PRON
ejpam-1675	322	88	achieves	achieve	VERB
ejpam-1675	322	89	the	the	DET
ejpam-1675	322	90	best	good	ADJ
ejpam-1675	322	91	balance	balance	NOUN
ejpam-1675	322	92	of	of	ADP
ejpam-1675	322	93	fit	fit	NOUN
ejpam-1675	322	94	with	with	ADP
ejpam-1675	322	95	respect	respect	NOUN
ejpam-1675	322	96	to	to	ADP
ejpam-1675	322	97	parameter	parameter	PROPN
ejpam-1675	322	98	cardinality	cardinality	PROPN
ejpam-1675	322	99	.	.	PUNCT
ejpam-1675	323	1	in	in	ADP
ejpam-1675	323	2	this	this	DET
ejpam-1675	323	3	case	case	NOUN
ejpam-1675	323	4	,	,	PUNCT
ejpam-1675	323	5	all	all	DET
ejpam-1675	323	6	criteria	criterion	NOUN
ejpam-1675	323	7	are	be	AUX
ejpam-1675	323	8	minimized	minimize	VERB
ejpam-1675	323	9	at	at	ADP
ejpam-1675	323	10	model	model	NOUN
ejpam-1675	323	11	2	2	NUM
ejpam-1675	323	12	.	.	PUNCT
ejpam-1675	324	1	these	these	PRON
ejpam-1675	324	2	are	be	AUX
ejpam-1675	324	3	indicated	indicate	VERB
ejpam-1675	324	4	by	by	ADP
ejpam-1675	324	5	the	the	DET
ejpam-1675	324	6	boldfaced	boldface	VERB
ejpam-1675	324	7	scores	score	NOUN
ejpam-1675	324	8	in	in	ADP
ejpam-1675	324	9	table	table	NOUN
ejpam-1675	324	10	3	3	NUM
ejpam-1675	324	11	.	.	PUNCT
ejpam-1675	325	1	we	we	PRON
ejpam-1675	325	2	note	note	VERB
ejpam-1675	325	3	that	that	SCONJ
ejpam-1675	325	4	for	for	SCONJ
ejpam-1675	325	5	this	this	DET
ejpam-1675	325	6	data	datum	NOUN
ejpam-1675	325	7	set	set	VERB
ejpam-1675	325	8	all	all	DET
ejpam-1675	325	9	criteria	criterion	NOUN
ejpam-1675	325	10	agreed	agree	VERB
ejpam-1675	325	11	.	.	PUNCT
ejpam-1675	326	1	in	in	ADP
ejpam-1675	326	2	general	general	ADJ
ejpam-1675	326	3	,	,	PUNCT
ejpam-1675	326	4	this	this	PRON
ejpam-1675	326	5	would	would	AUX
ejpam-1675	326	6	not	not	PART
ejpam-1675	326	7	typically	typically	ADV
ejpam-1675	326	8	be	be	AUX
ejpam-1675	326	9	the	the	DET
ejpam-1675	326	10	case	case	NOUN
ejpam-1675	326	11	with	with	ADP
ejpam-1675	326	12	other	other	ADJ
ejpam-1675	326	13	real	real	ADJ
ejpam-1675	326	14	data	datum	NOUN
ejpam-1675	326	15	sets	set	NOUN
ejpam-1675	326	16	.	.	PUNCT
ejpam-1675	327	1	based	base	VERB
ejpam-1675	327	2	the	the	DET
ejpam-1675	327	3	results	result	NOUN
ejpam-1675	327	4	above	above	ADV
ejpam-1675	327	5	,	,	PUNCT
ejpam-1675	327	6	we	we	PRON
ejpam-1675	327	7	can	can	AUX
ejpam-1675	327	8	use	use	VERB
ejpam-1675	327	9	model	model	NOUN
ejpam-1675	327	10	2	2	NUM
ejpam-1675	327	11	as	as	ADP
ejpam-1675	327	12	our	our	PRON
ejpam-1675	327	13	operating	operate	VERB
ejpam-1675	327	14	predictive	predictive	ADJ
ejpam-1675	327	15	sem	sem	PROPN
ejpam-1675	327	16	model	model	NOUN
ejpam-1675	327	17	in	in	ADP
ejpam-1675	327	18	the	the	DET
ejpam-1675	327	19	subsequent	subsequent	ADJ
ejpam-1675	327	20	surveys	survey	NOUN
ejpam-1675	327	21	for	for	ADP
ejpam-1675	327	22	market	market	NOUN
ejpam-1675	327	23	campaign	campaign	NOUN
ejpam-1675	327	24	to	to	PART
ejpam-1675	327	25	study	study	VERB
ejpam-1675	327	26	the	the	DET
ejpam-1675	327	27	product	product	NOUN
ejpam-1675	327	28	quality	quality	NOUN
ejpam-1675	327	29	.	.	PUNCT
ejpam-1675	328	1	in	in	ADP
ejpam-1675	328	2	passing	pass	VERB
ejpam-1675	328	3	we	we	PRON
ejpam-1675	328	4	note	note	VERB
ejpam-1675	328	5	that	that	SCONJ
ejpam-1675	328	6	,	,	PUNCT
ejpam-1675	328	7	although	although	SCONJ
ejpam-1675	328	8	we	we	PRON
ejpam-1675	328	9	used	use	VERB
ejpam-1675	328	10	the	the	DET
ejpam-1675	328	11	efa	efa	PROPN
ejpam-1675	328	12	model	model	NOUN
ejpam-1675	328	13	to	to	PART
ejpam-1675	328	14	determine	determine	VERB
ejpam-1675	328	15	the	the	DET
ejpam-1675	328	16	sem	sem	NOUN
ejpam-1675	328	17	structure	structure	NOUN
ejpam-1675	328	18	for	for	ADP
ejpam-1675	328	19	this	this	DET
ejpam-1675	328	20	real	real	ADJ
ejpam-1675	328	21	data	datum	NOUN
ejpam-1675	328	22	set	set	VERB
ejpam-1675	328	23	,	,	PUNCT
ejpam-1675	328	24	one	one	PRON
ejpam-1675	328	25	can	can	AUX
ejpam-1675	328	26	also	also	ADV
ejpam-1675	328	27	use	use	VERB
ejpam-1675	328	28	an	an	DET
ejpam-1675	328	29	expert	expert	NOUN
ejpam-1675	328	30	pattern	pattern	NOUN
ejpam-1675	328	31	analysis	analysis	NOUN
ejpam-1675	328	32	method	method	NOUN
ejpam-1675	328	33	using	use	VERB
ejpam-1675	328	34	the	the	DET
ejpam-1675	328	35	genetic	genetic	ADJ
ejpam-1675	328	36	algorithm	algorithm	NOUN
ejpam-1675	328	37	with	with	ADP
ejpam-1675	328	38	information	information	NOUN
ejpam-1675	328	39	complexity	complexity	NOUN
ejpam-1675	328	40	to	to	PART
ejpam-1675	328	41	obtain	obtain	VERB
ejpam-1675	328	42	the	the	DET
ejpam-1675	328	43	“	"	PUNCT
ejpam-1675	328	44	best	good	ADJ
ejpam-1675	328	45	”	"	PUNCT
ejpam-1675	328	46	factor	factor	NOUN
ejpam-1675	328	47	pattern	pattern	NOUN
ejpam-1675	328	48	structure	structure	NOUN
ejpam-1675	328	49	to	to	PART
ejpam-1675	328	50	establish	establish	VERB
ejpam-1675	328	51	a	a	DET
ejpam-1675	328	52	confirmatory	confirmatory	NOUN
ejpam-1675	328	53	factor	factor	NOUN
ejpam-1675	328	54	analysis	analysis	NOUN
ejpam-1675	328	55	to	to	PART
ejpam-1675	328	56	derive	derive	VERB
ejpam-1675	328	57	the	the	DET
ejpam-1675	328	58	sems	sem	NOUN
ejpam-1675	328	59	.	.	PUNCT
ejpam-1675	329	1	this	this	DET
ejpam-1675	329	2	new	new	ADJ
ejpam-1675	329	3	approach	approach	NOUN
ejpam-1675	329	4	is	be	AUX
ejpam-1675	329	5	well	well	ADV
ejpam-1675	329	6	explained	explain	VERB
ejpam-1675	329	7	in	in	ADP
ejpam-1675	329	8	[	[	X
ejpam-1675	329	9	30	30	NUM
ejpam-1675	329	10	]	]	PUNCT
ejpam-1675	329	11	for	for	ADP
ejpam-1675	329	12	further	further	ADJ
ejpam-1675	329	13	reading	reading	NOUN
ejpam-1675	329	14	.	.	PUNCT
ejpam-1675	330	1	we	we	PRON
ejpam-1675	330	2	have	have	AUX
ejpam-1675	330	3	not	not	PART
ejpam-1675	330	4	pursued	pursue	VERB
ejpam-1675	330	5	this	this	DET
ejpam-1675	330	6	approach	approach	NOUN
ejpam-1675	330	7	in	in	ADP
ejpam-1675	330	8	this	this	DET
ejpam-1675	330	9	paper	paper	NOUN
ejpam-1675	330	10	.	.	PUNCT
ejpam-1675	331	1	references	reference	NOUN
ejpam-1675	331	2	299	299	NUM
ejpam-1675	331	3	6	6	NUM
ejpam-1675	331	4	.	.	PUNCT
ejpam-1675	332	1	conclusions	conclusion	NOUN
ejpam-1675	332	2	and	and	CCONJ
ejpam-1675	332	3	discussion	discussion	NOUN
ejpam-1675	332	4	in	in	ADP
ejpam-1675	332	5	this	this	DET
ejpam-1675	332	6	paper	paper	NOUN
ejpam-1675	333	1	,	,	PUNCT
ejpam-1675	333	2	we	we	PRON
ejpam-1675	333	3	showed	show	VERB
ejpam-1675	333	4	the	the	DET
ejpam-1675	333	5	performance	performance	NOUN
ejpam-1675	333	6	of	of	ADP
ejpam-1675	333	7	several	several	ADJ
ejpam-1675	333	8	information	information	NOUN
ejpam-1675	333	9	criteria	criterion	NOUN
ejpam-1675	333	10	,	,	PUNCT
ejpam-1675	333	11	some	some	DET
ejpam-1675	333	12	old	old	ADJ
ejpam-1675	333	13	and	and	CCONJ
ejpam-1675	333	14	new	new	ADJ
ejpam-1675	333	15	ones	one	NOUN
ejpam-1675	333	16	in	in	ADP
ejpam-1675	333	17	general	general	ADJ
ejpam-1675	333	18	sems	sem	NOUN
ejpam-1675	333	19	,	,	PUNCT
ejpam-1675	333	20	under	under	ADP
ejpam-1675	333	21	different	different	ADJ
ejpam-1675	333	22	sample	sample	NOUN
ejpam-1675	333	23	sizes	size	NOUN
ejpam-1675	333	24	,	,	PUNCT
ejpam-1675	333	25	and	and	CCONJ
ejpam-1675	333	26	different	different	ADJ
ejpam-1675	333	27	models	model	NOUN
ejpam-1675	333	28	.	.	PUNCT
ejpam-1675	334	1	based	base	VERB
ejpam-1675	334	2	on	on	ADP
ejpam-1675	334	3	our	our	PRON
ejpam-1675	334	4	results	result	NOUN
ejpam-1675	334	5	from	from	ADP
ejpam-1675	334	6	this	this	DET
ejpam-1675	334	7	specific	specific	ADJ
ejpam-1675	334	8	large	large	ADJ
ejpam-1675	334	9	scale	scale	NOUN
ejpam-1675	334	10	monte	monte	PROPN
ejpam-1675	334	11	carlo	carlo	PROPN
ejpam-1675	334	12	simulation	simulation	PROPN
ejpam-1675	334	13	experiment	experiment	NOUN
ejpam-1675	334	14	,	,	PUNCT
ejpam-1675	334	15	for	for	ADP
ejpam-1675	334	16	general	general	ADJ
ejpam-1675	334	17	sem	sem	PROPN
ejpam-1675	334	18	,	,	PUNCT
ejpam-1675	334	19	caic	caic	PROPN
ejpam-1675	334	20	,	,	PUNCT
ejpam-1675	334	21	caic	caic	PROPN
ejpam-1675	334	22	f	f	PROPN
ejpam-1675	334	23	,	,	PUNCT
ejpam-1675	334	24	bms	bms	PROPN
ejpam-1675	334	25	,	,	PUNCT
ejpam-1675	334	26	c	c	PROPN
ejpam-1675	334	27	icom	icom	PROPN
ejpam-1675	334	28	p(i	p(i	PROPN
ejpam-1675	334	29	f	f	PROPN
ejpam-1675	334	30	im)peu	im)peu	PROPN
ejpam-1675	334	31	and	and	CCONJ
ejpam-1675	334	32	c	c	PROPN
ejpam-1675	334	33	icom	icom	PROPN
ejpam-1675	334	34	p(i	p(i	PROPN
ejpam-1675	334	35	f	f	PROPN
ejpam-1675	334	36	im)peu_miss	im)peu_miss	PROPN
ejpam-1675	334	37	criteria	criterion	NOUN
ejpam-1675	334	38	show	show	VERB
ejpam-1675	334	39	the	the	DET
ejpam-1675	334	40	best	good	ADJ
ejpam-1675	334	41	performance	performance	NOUN
ejpam-1675	334	42	.	.	PUNCT
ejpam-1675	335	1	on	on	ADP
ejpam-1675	335	2	the	the	DET
ejpam-1675	335	3	other	other	ADJ
ejpam-1675	335	4	hand	hand	NOUN
ejpam-1675	335	5	,	,	PUNCT
ejpam-1675	335	6	the	the	DET
ejpam-1675	335	7	performance	performance	NOUN
ejpam-1675	335	8	of	of	ADP
ejpam-1675	335	9	aic	aic	PROPN
ejpam-1675	335	10	seems	seem	VERB
ejpam-1675	335	11	to	to	PART
ejpam-1675	335	12	degrade	degrade	VERB
ejpam-1675	335	13	as	as	ADP
ejpam-1675	335	14	sample	sample	NOUN
ejpam-1675	335	15	sizes	size	NOUN
ejpam-1675	335	16	increase	increase	VERB
ejpam-1675	335	17	it	it	PRON
ejpam-1675	335	18	tends	tend	VERB
ejpam-1675	335	19	to	to	PART
ejpam-1675	335	20	select	select	VERB
ejpam-1675	335	21	overfitting	overfitting	NOUN
ejpam-1675	335	22	models	model	NOUN
ejpam-1675	335	23	.	.	PUNCT
ejpam-1675	336	1	this	this	DET
ejpam-1675	336	2	behavior	behavior	NOUN
ejpam-1675	336	3	is	be	AUX
ejpam-1675	336	4	based	base	VERB
ejpam-1675	336	5	on	on	ADP
ejpam-1675	336	6	the	the	DET
ejpam-1675	336	7	sensitivity	sensitivity	NOUN
ejpam-1675	336	8	of	of	ADP
ejpam-1675	336	9	the	the	DET
ejpam-1675	336	10	log	log	NOUN
ejpam-1675	336	11	likelihood	likelihood	NOUN
ejpam-1675	336	12	function	function	NOUN
ejpam-1675	336	13	to	to	ADP
ejpam-1675	336	14	sample	sample	NOUN
ejpam-1675	336	15	size	size	NOUN
ejpam-1675	336	16	.	.	PUNCT
ejpam-1675	337	1	because	because	SCONJ
ejpam-1675	337	2	caic	caic	PROPN
ejpam-1675	337	3	,	,	PUNCT
ejpam-1675	337	4	caic	caic	PROPN
ejpam-1675	337	5	f	f	PROPN
ejpam-1675	337	6	,	,	PUNCT
ejpam-1675	337	7	bms	bms	PROPN
ejpam-1675	337	8	,	,	PUNCT
ejpam-1675	337	9	c	c	PROPN
ejpam-1675	337	10	icom	icom	PROPN
ejpam-1675	337	11	p(i	p(i	PROPN
ejpam-1675	337	12	f	f	PROPN
ejpam-1675	337	13	im)peu	im)peu	PROPN
ejpam-1675	337	14	and	and	CCONJ
ejpam-1675	337	15	c	c	PROPN
ejpam-1675	337	16	icom	icom	PROPN
ejpam-1675	337	17	p(i	p(i	PROPN
ejpam-1675	337	18	f	f	PROPN
ejpam-1675	337	19	im)peu_miss	im)peu_miss	PART
ejpam-1675	337	20	criteria	criterion	NOUN
ejpam-1675	337	21	are	be	AUX
ejpam-1675	337	22	consistent	consistent	ADJ
ejpam-1675	337	23	with	with	ADP
ejpam-1675	337	24	respect	respect	NOUN
ejpam-1675	337	25	to	to	ADP
ejpam-1675	337	26	sample	sample	NOUN
ejpam-1675	337	27	size	size	NOUN
ejpam-1675	337	28	(	(	PUNCT
ejpam-1675	337	29	penalty	penalty	NOUN
ejpam-1675	337	30	term	term	NOUN
ejpam-1675	337	31	includes	include	VERB
ejpam-1675	337	32	log(n	log(n	NOUN
ejpam-1675	337	33	)	)	PUNCT
ejpam-1675	337	34	)	)	PUNCT
ejpam-1675	337	35	,	,	PUNCT
ejpam-1675	337	36	they	they	PRON
ejpam-1675	337	37	become	become	VERB
ejpam-1675	337	38	more	more	ADV
ejpam-1675	337	39	accurate	accurate	ADJ
ejpam-1675	337	40	as	as	SCONJ
ejpam-1675	337	41	the	the	DET
ejpam-1675	337	42	sample	sample	NOUN
ejpam-1675	337	43	size	size	NOUN
ejpam-1675	337	44	gets	get	VERB
ejpam-1675	337	45	larger	large	ADJ
ejpam-1675	337	46	.	.	PUNCT
ejpam-1675	338	1	our	our	PRON
ejpam-1675	338	2	simulation	simulation	NOUN
ejpam-1675	338	3	results	result	NOUN
ejpam-1675	338	4	demonstrates	demonstrate	VERB
ejpam-1675	338	5	the	the	DET
ejpam-1675	338	6	performance	performance	NOUN
ejpam-1675	338	7	and	and	CCONJ
ejpam-1675	338	8	the	the	DET
ejpam-1675	338	9	versatility	versatility	NOUN
ejpam-1675	338	10	of	of	ADP
ejpam-1675	338	11	these	these	DET
ejpam-1675	338	12	criteria	criterion	NOUN
ejpam-1675	338	13	.	.	PUNCT
ejpam-1675	339	1	in	in	ADP
ejpam-1675	339	2	summary	summary	NOUN
ejpam-1675	339	3	,	,	PUNCT
ejpam-1675	339	4	we	we	PRON
ejpam-1675	339	5	recommend	recommend	VERB
ejpam-1675	339	6	that	that	SCONJ
ejpam-1675	339	7	the	the	DET
ejpam-1675	339	8	information	information	NOUN
ejpam-1675	339	9	criteria	criterion	NOUN
ejpam-1675	339	10	:	:	PUNCT
ejpam-1675	339	11	caic	caic	PROPN
ejpam-1675	339	12	f	f	PROPN
ejpam-1675	339	13	,	,	PUNCT
ejpam-1675	339	14	bms	bms	PROPN
ejpam-1675	339	15	,	,	PUNCT
ejpam-1675	339	16	c	c	PROPN
ejpam-1675	339	17	icom	icom	PROPN
ejpam-1675	339	18	p(i	p(i	PROPN
ejpam-1675	339	19	f	f	PROPN
ejpam-1675	339	20	im)peu	im)peu	PROPN
ejpam-1675	339	21	and	and	CCONJ
ejpam-1675	339	22	c	c	PROPN
ejpam-1675	339	23	icom	icom	X
ejpam-1675	340	1	p(i	p(i	PROPN
ejpam-1675	340	2	f	f	PROPN
ejpam-1675	340	3	im)peu_miss	im)peu_miss	PROPN
ejpam-1675	340	4	,	,	PUNCT
ejpam-1675	340	5	be	be	AUX
ejpam-1675	340	6	used	use	VERB
ejpam-1675	340	7	in	in	ADP
ejpam-1675	340	8	sem	sem	NOUN
ejpam-1675	340	9	.	.	PUNCT
ejpam-1675	341	1	in	in	ADP
ejpam-1675	341	2	the	the	DET
ejpam-1675	341	3	real	real	ADJ
ejpam-1675	341	4	example	example	NOUN
ejpam-1675	341	5	,	,	PUNCT
ejpam-1675	341	6	we	we	PRON
ejpam-1675	341	7	showed	show	VERB
ejpam-1675	341	8	how	how	SCONJ
ejpam-1675	341	9	one	one	NOUN
ejpam-1675	341	10	can	can	AUX
ejpam-1675	341	11	build	build	VERB
ejpam-1675	341	12	an	an	DET
ejpam-1675	341	13	operating	operate	VERB
ejpam-1675	341	14	predictive	predictive	ADJ
ejpam-1675	341	15	sem	sem	NOUN
ejpam-1675	341	16	in	in	ADP
ejpam-1675	341	17	market	market	NOUN
ejpam-1675	341	18	research	research	NOUN
ejpam-1675	341	19	.	.	PUNCT
ejpam-1675	342	1	we	we	PRON
ejpam-1675	342	2	are	be	AUX
ejpam-1675	342	3	currently	currently	ADV
ejpam-1675	342	4	studying	study	VERB
ejpam-1675	342	5	other	other	ADJ
ejpam-1675	342	6	forms	form	NOUN
ejpam-1675	342	7	of	of	ADP
ejpam-1675	342	8	misspecification	misspecification	NOUN
ejpam-1675	342	9	such	such	ADJ
ejpam-1675	342	10	as	as	ADP
ejpam-1675	342	11	the	the	DET
ejpam-1675	342	12	distributional	distributional	ADJ
ejpam-1675	342	13	misspecification	misspecification	NOUN
ejpam-1675	342	14	,	,	PUNCT
ejpam-1675	342	15	presence	presence	NOUN
ejpam-1675	342	16	of	of	ADP
ejpam-1675	342	17	high	high	ADJ
ejpam-1675	342	18	multicollinearity	multicollinearity	NOUN
ejpam-1675	342	19	,	,	PUNCT
ejpam-1675	342	20	and	and	CCONJ
ejpam-1675	342	21	error	error	NOUN
ejpam-1675	342	22	variance	variance	NOUN
ejpam-1675	342	23	heteroscedasticity	heteroscedasticity	NOUN
ejpam-1675	342	24	within	within	ADP
ejpam-1675	342	25	the	the	DET
ejpam-1675	342	26	sem	sem	NOUN
ejpam-1675	342	27	framework	framework	NOUN
ejpam-1675	342	28	using	use	VERB
ejpam-1675	342	29	the	the	DET
ejpam-1675	342	30	information	information	NOUN
ejpam-1675	342	31	criteria	criterion	NOUN
ejpam-1675	342	32	along	along	ADP
ejpam-1675	342	33	with	with	ADP
ejpam-1675	342	34	other	other	ADJ
ejpam-1675	342	35	applications	application	NOUN
ejpam-1675	342	36	.	.	PUNCT
ejpam-1675	343	1	our	our	PRON
ejpam-1675	343	2	results	result	NOUN
ejpam-1675	343	3	will	will	AUX
ejpam-1675	343	4	be	be	AUX
ejpam-1675	343	5	reported	report	VERB
ejpam-1675	343	6	elsewhere	elsewhere	ADV
ejpam-1675	343	7	.	.	PUNCT
ejpam-1675	344	1	acknowledgements	acknowledgement	NOUN
ejpam-1675	344	2	this	this	DET
ejpam-1675	344	3	research	research	NOUN
ejpam-1675	344	4	was	be	AUX
ejpam-1675	344	5	supported	support	VERB
ejpam-1675	344	6	by	by	ADP
ejpam-1675	344	7	the	the	DET
ejpam-1675	344	8	scientific	scientific	ADJ
ejpam-1675	344	9	and	and	CCONJ
ejpam-1675	344	10	technological	technological	ADJ
ejpam-1675	344	11	research	research	NOUN
ejpam-1675	344	12	council	council	NOUN
ejpam-1675	344	13	of	of	ADP
ejpam-1675	344	14	turkey	turkey	PROPN
ejpam-1675	344	15	(	(	PUNCT
ejpam-1675	344	16	tubitak	tubitak	NOUN
ejpam-1675	344	17	)	)	PUNCT
ejpam-1675	344	18	for	for	ADP
ejpam-1675	344	19	the	the	DET
ejpam-1675	344	20	first	first	ADJ
ejpam-1675	344	21	author	author	NOUN
ejpam-1675	344	22	at	at	ADP
ejpam-1675	344	23	the	the	DET
ejpam-1675	344	24	department	department	NOUN
ejpam-1675	344	25	of	of	ADP
ejpam-1675	344	26	statistics	statistic	NOUN
ejpam-1675	344	27	,	,	PUNCT
ejpam-1675	344	28	operations	operation	NOUN
ejpam-1675	344	29	,	,	PUNCT
ejpam-1675	344	30	and	and	CCONJ
ejpam-1675	344	31	management	management	NOUN
ejpam-1675	344	32	science	science	NOUN
ejpam-1675	344	33	at	at	ADP
ejpam-1675	344	34	the	the	DET
ejpam-1675	344	35	university	university	PROPN
ejpam-1675	344	36	of	of	ADP
ejpam-1675	344	37	tennessee	tennessee	PROPN
ejpam-1675	344	38	as	as	ADP
ejpam-1675	344	39	a	a	DET
ejpam-1675	344	40	visiting	visit	VERB
ejpam-1675	344	41	scholar	scholar	NOUN
ejpam-1675	344	42	under	under	ADP
ejpam-1675	344	43	the	the	DET
ejpam-1675	344	44	supervision	supervision	NOUN
ejpam-1675	344	45	of	of	ADP
ejpam-1675	344	46	professor	professor	NOUN
ejpam-1675	344	47	bozdogan	bozdogan	NOUN
ejpam-1675	344	48	.	.	PUNCT
ejpam-1675	345	1	the	the	DET
ejpam-1675	345	2	first	first	ADJ
ejpam-1675	345	3	author	author	NOUN
ejpam-1675	345	4	extends	extend	VERB
ejpam-1675	345	5	her	her	PRON
ejpam-1675	345	6	gratitude	gratitude	NOUN
ejpam-1675	345	7	and	and	CCONJ
ejpam-1675	345	8	thanks	thank	NOUN
ejpam-1675	345	9	to	to	ADP
ejpam-1675	345	10	professor	professor	NOUN
ejpam-1675	345	11	bozdogan	bozdogan	NOUN
ejpam-1675	345	12	for	for	ADP
ejpam-1675	345	13	the	the	DET
ejpam-1675	345	14	hospitality	hospitality	NOUN
ejpam-1675	345	15	and	and	CCONJ
ejpam-1675	345	16	conducive	conducive	ADJ
ejpam-1675	345	17	research	research	NOUN
ejpam-1675	345	18	atmosphere	atmosphere	NOUN
ejpam-1675	345	19	provided	provide	VERB
ejpam-1675	345	20	.	.	PUNCT
ejpam-1675	346	1	references	reference	NOUN
ejpam-1675	346	2	[	[	X
ejpam-1675	346	3	1	1	NUM
ejpam-1675	346	4	]	]	PUNCT
ejpam-1675	346	5	h	h	NOUN
ejpam-1675	346	6	akaike	akaike	ADJ
ejpam-1675	346	7	.	.	PUNCT
ejpam-1675	347	1	information	information	NOUN
ejpam-1675	347	2	theory	theory	NOUN
ejpam-1675	347	3	and	and	CCONJ
ejpam-1675	347	4	an	an	DET
ejpam-1675	347	5	extension	extension	NOUN
ejpam-1675	347	6	of	of	ADP
ejpam-1675	347	7	the	the	DET
ejpam-1675	347	8	maximum	maximum	ADJ
ejpam-1675	347	9	likelihood	likelihood	NOUN
ejpam-1675	347	10	principle	principle	NOUN
ejpam-1675	347	11	.	.	PUNCT
ejpam-1675	348	1	in	in	ADP
ejpam-1675	348	2	b.n	b.n	PROPN
ejpam-1675	348	3	.	.	PROPN
ejpam-1675	348	4	petrox	petrox	PROPN
ejpam-1675	348	5	and	and	CCONJ
ejpam-1675	348	6	f.	f.	PROPN
ejpam-1675	348	7	csaki	csaki	PROPN
ejpam-1675	348	8	,	,	PUNCT
ejpam-1675	348	9	editors	editor	NOUN
ejpam-1675	348	10	,	,	PUNCT
ejpam-1675	348	11	second	second	ADJ
ejpam-1675	348	12	international	international	ADJ
ejpam-1675	348	13	symposium	symposium	NOUN
ejpam-1675	348	14	on	on	ADP
ejpam-1675	348	15	information	information	NOUN
ejpam-1675	348	16	theory	theory	NOUN
ejpam-1675	348	17	.	.	PUNCT
ejpam-1675	349	1	,	,	PUNCT
ejpam-1675	349	2	pages	page	NOUN
ejpam-1675	349	3	267–281	267–281	NUM
ejpam-1675	349	4	,	,	PUNCT
ejpam-1675	349	5	budapest	budapest	NOUN
ejpam-1675	349	6	,	,	PUNCT
ejpam-1675	349	7	1973	1973	NUM
ejpam-1675	349	8	.	.	PUNCT
ejpam-1675	350	1	academiai	academiai	PROPN
ejpam-1675	350	2	kiado	kiado	PROPN
ejpam-1675	350	3	.	.	PUNCT
ejpam-1675	351	1	[	[	X
ejpam-1675	351	2	2	2	X
ejpam-1675	351	3	]	]	X
ejpam-1675	351	4	h	h	NOUN
ejpam-1675	351	5	akaike	akaike	ADJ
ejpam-1675	351	6	.	.	PUNCT
ejpam-1675	352	1	factor	factor	NOUN
ejpam-1675	352	2	analysis	analysis	NOUN
ejpam-1675	352	3	and	and	CCONJ
ejpam-1675	352	4	aic	aic	PROPN
ejpam-1675	352	5	.	.	PROPN
ejpam-1675	352	6	psychometrica	psychometrica	PROPN
ejpam-1675	352	7	,	,	PUNCT
ejpam-1675	352	8	52(3):317–332	52(3):317–332	PROPN
ejpam-1675	352	9	,	,	PUNCT
ejpam-1675	352	10	1987	1987	NUM
ejpam-1675	352	11	.	.	PUNCT
ejpam-1675	353	1	[	[	X
ejpam-1675	353	2	3	3	NUM
ejpam-1675	353	3	]	]	X
ejpam-1675	353	4	k	k	X
ejpam-1675	353	5	a	a	PROPN
ejpam-1675	353	6	bollen	bollen	PROPN
ejpam-1675	353	7	.	.	PUNCT
ejpam-1675	354	1	structural	structural	ADJ
ejpam-1675	354	2	equations	equation	NOUN
ejpam-1675	354	3	with	with	ADP
ejpam-1675	354	4	latent	latent	NOUN
ejpam-1675	354	5	variables	variable	NOUN
ejpam-1675	354	6	.	.	PUNCT
ejpam-1675	355	1	john	john	PROPN
ejpam-1675	355	2	wiley	wiley	PROPN
ejpam-1675	355	3	,	,	PUNCT
ejpam-1675	355	4	new	new	PROPN
ejpam-1675	355	5	york	york	PROPN
ejpam-1675	355	6	,	,	PUNCT
ejpam-1675	355	7	1989	1989	NUM
ejpam-1675	355	8	.	.	PUNCT
ejpam-1675	356	1	[	[	X
ejpam-1675	356	2	4	4	NUM
ejpam-1675	356	3	]	]	X
ejpam-1675	356	4	h	h	NOUN
ejpam-1675	356	5	bozdogan	bozdogan	NOUN
ejpam-1675	356	6	.	.	PUNCT
ejpam-1675	357	1	model	model	NOUN
ejpam-1675	357	2	selection	selection	NOUN
ejpam-1675	357	3	and	and	CCONJ
ejpam-1675	357	4	akaike	akaike	NOUN
ejpam-1675	357	5	’s	’s	PART
ejpam-1675	357	6	information	information	NOUN
ejpam-1675	357	7	criteria	criterion	NOUN
ejpam-1675	357	8	(	(	PUNCT
ejpam-1675	357	9	aic	aic	PROPN
ejpam-1675	357	10	):	):	PUNCT
ejpam-1675	357	11	the	the	DET
ejpam-1675	357	12	general	general	ADJ
ejpam-1675	357	13	theory	theory	NOUN
ejpam-1675	357	14	and	and	CCONJ
ejpam-1675	357	15	its	its	PRON
ejpam-1675	357	16	analytical	analytical	ADJ
ejpam-1675	357	17	extensions	extension	NOUN
ejpam-1675	357	18	.	.	PUNCT
ejpam-1675	358	1	psychometrica	psychometrica	PROPN
ejpam-1675	358	2	,	,	PUNCT
ejpam-1675	358	3	52:317–332	52:317–332	PROPN
ejpam-1675	358	4	,	,	PUNCT
ejpam-1675	358	5	1987	1987	NUM
ejpam-1675	358	6	.	.	PUNCT
ejpam-1675	359	1	[	[	X
ejpam-1675	359	2	5	5	NUM
ejpam-1675	359	3	]	]	PUNCT
ejpam-1675	359	4	h	h	NOUN
ejpam-1675	359	5	bozdogan	bozdogan	NOUN
ejpam-1675	359	6	.	.	PUNCT
ejpam-1675	360	1	a	a	DET
ejpam-1675	360	2	new	new	ADJ
ejpam-1675	360	3	information	information	NOUN
ejpam-1675	360	4	theoretic	theoretic	NOUN
ejpam-1675	360	5	measure	measure	NOUN
ejpam-1675	360	6	of	of	ADP
ejpam-1675	360	7	complexity	complexity	NOUN
ejpam-1675	360	8	index	index	NOUN
ejpam-1675	360	9	for	for	ADP
ejpam-1675	360	10	model	model	NOUN
ejpam-1675	360	11	evaluation	evaluation	NOUN
ejpam-1675	360	12	in	in	ADP
ejpam-1675	360	13	general	general	ADJ
ejpam-1675	360	14	structural	structural	ADJ
ejpam-1675	360	15	equation	equation	NOUN
ejpam-1675	360	16	models	model	NOUN
ejpam-1675	360	17	with	with	ADP
ejpam-1675	360	18	latent	latent	NOUN
ejpam-1675	360	19	variables	variable	NOUN
ejpam-1675	360	20	.	.	PUNCT
ejpam-1675	361	1	rutgers	rutger	VERB
ejpam-1675	361	2	the	the	DET
ejpam-1675	361	3	state	state	NOUN
ejpam-1675	361	4	univarsity	univarsity	NOUN
ejpam-1675	361	5	,	,	PUNCT
ejpam-1675	361	6	june	june	PROPN
ejpam-1675	361	7	13	13	NUM
ejpam-1675	361	8	-	-	SYM
ejpam-1675	361	9	16	16	NUM
ejpam-1675	361	10	1991	1991	NUM
ejpam-1675	361	11	.	.	PUNCT
ejpam-1675	362	1	symposium	symposium	NOUN
ejpam-1675	362	2	on	on	ADP
ejpam-1675	362	3	model	model	NOUN
ejpam-1675	362	4	selection	selection	NOUN
ejpam-1675	362	5	in	in	ADP
ejpam-1675	362	6	covariance	covariance	NOUN
ejpam-1675	362	7	structures	structure	NOUN
ejpam-1675	362	8	at	at	ADP
ejpam-1675	362	9	the	the	DET
ejpam-1675	362	10	joint	joint	ADJ
ejpam-1675	362	11	meeting	meeting	NOUN
ejpam-1675	362	12	of	of	ADP
ejpam-1675	362	13	psychometric	psychometric	ADJ
ejpam-1675	362	14	society	society	NOUN
ejpam-1675	362	15	and	and	CCONJ
ejpam-1675	362	16	the	the	DET
ejpam-1675	362	17	classification	classification	NOUN
ejpam-1675	362	18	society	society	NOUN
ejpam-1675	362	19	.	.	PUNCT
ejpam-1675	363	1	[	[	X
ejpam-1675	363	2	6	6	NUM
ejpam-1675	363	3	]	]	PUNCT
ejpam-1675	363	4	h	h	NOUN
ejpam-1675	363	5	bozdogan	bozdogan	NOUN
ejpam-1675	363	6	.	.	PUNCT
ejpam-1675	364	1	choosing	choose	VERB
ejpam-1675	364	2	the	the	DET
ejpam-1675	364	3	number	number	NOUN
ejpam-1675	364	4	of	of	ADP
ejpam-1675	364	5	clusters	cluster	NOUN
ejpam-1675	364	6	,	,	PUNCT
ejpam-1675	364	7	subset	subset	VERB
ejpam-1675	364	8	selection	selection	NOUN
ejpam-1675	364	9	of	of	ADP
ejpam-1675	364	10	variables	variable	NOUN
ejpam-1675	364	11	,	,	PUNCT
ejpam-1675	364	12	and	and	CCONJ
ejpam-1675	364	13	outlier	outlier	NOUN
ejpam-1675	364	14	detection	detection	NOUN
ejpam-1675	364	15	in	in	ADP
ejpam-1675	364	16	the	the	DET
ejpam-1675	364	17	standard	standard	ADJ
ejpam-1675	364	18	mixture	mixture	NOUN
ejpam-1675	364	19	-	-	PUNCT
ejpam-1675	364	20	model	model	NOUN
ejpam-1675	364	21	cluster	cluster	NOUN
ejpam-1675	364	22	analysis	analysis	NOUN
ejpam-1675	364	23	.	.	PUNCT
ejpam-1675	365	1	in	in	ADP
ejpam-1675	365	2	e.	e.	PROPN
ejpam-1675	365	3	diday	diday	PROPN
ejpam-1675	365	4	et	et	PROPN
ejpam-1675	365	5	al	al	PROPN
ejpam-1675	365	6	.	.	PROPN
ejpam-1675	365	7	,	,	PUNCT
ejpam-1675	365	8	editor	editor	NOUN
ejpam-1675	365	9	,	,	PUNCT
ejpam-1675	365	10	new	new	ADJ
ejpam-1675	365	11	references	reference	NOUN
ejpam-1675	365	12	300	300	NUM
ejpam-1675	365	13	approaches	approach	NOUN
ejpam-1675	365	14	in	in	ADP
ejpam-1675	365	15	classification	classification	NOUN
ejpam-1675	365	16	and	and	CCONJ
ejpam-1675	365	17	data	datum	NOUN
ejpam-1675	365	18	analysis	analysis	NOUN
ejpam-1675	365	19	,	,	PUNCT
ejpam-1675	365	20	pages	page	NOUN
ejpam-1675	365	21	169–177	169–177	NUM
ejpam-1675	365	22	.	.	PUNCT
ejpam-1675	365	23	springer	springer	NOUN
ejpam-1675	365	24	-	-	PUNCT
ejpam-1675	365	25	verlag	verlag	PROPN
ejpam-1675	365	26	,	,	PUNCT
ejpam-1675	365	27	new	new	PROPN
ejpam-1675	365	28	york	york	PROPN
ejpam-1675	365	29	,	,	PUNCT
ejpam-1675	365	30	1994	1994	NUM
ejpam-1675	365	31	.	.	PUNCT
ejpam-1675	366	1	[	[	X
ejpam-1675	366	2	7	7	NUM
ejpam-1675	366	3	]	]	X
ejpam-1675	366	4	h	h	NOUN
ejpam-1675	366	5	bozdogan	bozdogan	NOUN
ejpam-1675	366	6	.	.	PUNCT
ejpam-1675	367	1	akaike	akaike	ADP
ejpam-1675	367	2	’s	’s	PART
ejpam-1675	367	3	information	information	NOUN
ejpam-1675	367	4	criterion	criterion	NOUN
ejpam-1675	367	5	and	and	CCONJ
ejpam-1675	367	6	recent	recent	ADJ
ejpam-1675	367	7	developments	development	NOUN
ejpam-1675	367	8	in	in	ADP
ejpam-1675	367	9	information	information	NOUN
ejpam-1675	367	10	complexity	complexity	NOUN
ejpam-1675	367	11	.	.	PUNCT
ejpam-1675	368	1	journal	journal	PROPN
ejpam-1675	368	2	of	of	ADP
ejpam-1675	368	3	mathematical	mathematical	ADJ
ejpam-1675	368	4	psychology	psychology	NOUN
ejpam-1675	368	5	,	,	PUNCT
ejpam-1675	368	6	44:62–91	44:62–91	NUM
ejpam-1675	368	7	,	,	PUNCT
ejpam-1675	368	8	2000	2000	NUM
ejpam-1675	368	9	.	.	PUNCT
ejpam-1675	369	1	[	[	X
ejpam-1675	369	2	8	8	NUM
ejpam-1675	369	3	]	]	X
ejpam-1675	369	4	h	h	NOUN
ejpam-1675	369	5	bozdogan	bozdogan	NOUN
ejpam-1675	369	6	.	.	PUNCT
ejpam-1675	370	1	statistical	statistical	ADJ
ejpam-1675	370	2	data	datum	NOUN
ejpam-1675	370	3	mining	mining	NOUN
ejpam-1675	370	4	knowledge	knowledge	NOUN
ejpam-1675	370	5	discovery	discovery	NOUN
ejpam-1675	370	6	,	,	PUNCT
ejpam-1675	370	7	chapter	chapter	NOUN
ejpam-1675	370	8	intelligent	intelligent	ADJ
ejpam-1675	370	9	statistical	statistical	ADJ
ejpam-1675	370	10	data	datum	NOUN
ejpam-1675	370	11	mining	mining	NOUN
ejpam-1675	370	12	with	with	ADP
ejpam-1675	370	13	information	information	NOUN
ejpam-1675	370	14	complexity	complexity	NOUN
ejpam-1675	370	15	and	and	CCONJ
ejpam-1675	370	16	genetic	genetic	ADJ
ejpam-1675	370	17	algorithms	algorithm	NOUN
ejpam-1675	370	18	.	.	PUNCT
ejpam-1675	371	1	,	,	PUNCT
ejpam-1675	371	2	pages	page	NOUN
ejpam-1675	371	3	15–56	15–56	NUM
ejpam-1675	371	4	.	.	PUNCT
ejpam-1675	372	1	chapmanhall	chapmanhall	PROPN
ejpam-1675	372	2	,	,	PUNCT
ejpam-1675	372	3	crc	crc	NOUN
ejpam-1675	372	4	,	,	PUNCT
ejpam-1675	372	5	2004	2004	NUM
ejpam-1675	372	6	.	.	PUNCT
ejpam-1675	373	1	[	[	X
ejpam-1675	373	2	9	9	NUM
ejpam-1675	373	3	]	]	SYM
ejpam-1675	373	4	h	h	NOUN
ejpam-1675	373	5	bozdogan	bozdogan	NOUN
ejpam-1675	373	6	.	.	PUNCT
ejpam-1675	374	1	a	a	DET
ejpam-1675	374	2	new	new	ADJ
ejpam-1675	374	3	class	class	NOUN
ejpam-1675	374	4	of	of	ADP
ejpam-1675	374	5	information	information	NOUN
ejpam-1675	374	6	complexity	complexity	NOUN
ejpam-1675	374	7	(	(	PUNCT
ejpam-1675	374	8	icomp	icomp	ADJ
ejpam-1675	374	9	)	)	PUNCT
ejpam-1675	374	10	criteria	criterion	NOUN
ejpam-1675	374	11	with	with	ADP
ejpam-1675	374	12	an	an	DET
ejpam-1675	374	13	application	application	NOUN
ejpam-1675	374	14	to	to	ADP
ejpam-1675	374	15	customer	customer	NOUN
ejpam-1675	374	16	profiling	profiling	NOUN
ejpam-1675	374	17	and	and	CCONJ
ejpam-1675	374	18	segmentation	segmentation	NOUN
ejpam-1675	374	19	.	.	PUNCT
ejpam-1675	375	1	journal	journal	NOUN
ejpam-1675	375	2	of	of	ADP
ejpam-1675	375	3	the	the	DET
ejpam-1675	375	4	school	school	NOUN
ejpam-1675	375	5	of	of	ADP
ejpam-1675	375	6	business	business	PROPN
ejpam-1675	375	7	administration	administration	NOUN
ejpam-1675	375	8	,	,	PUNCT
ejpam-1675	375	9	39(2):370–398	39(2):370–398	NUM
ejpam-1675	375	10	,	,	PUNCT
ejpam-1675	375	11	2010	2010	NUM
ejpam-1675	375	12	.	.	PUNCT
ejpam-1675	376	1	[	[	X
ejpam-1675	376	2	10	10	NUM
ejpam-1675	376	3	]	]	X
ejpam-1675	376	4	h	h	NOUN
ejpam-1675	376	5	bozdogan	bozdogan	NOUN
ejpam-1675	376	6	and	and	CCONJ
ejpam-1675	376	7	m	m	PROPN
ejpam-1675	376	8	ueno	ueno	PROPN
ejpam-1675	376	9	.	.	PUNCT
ejpam-1675	377	1	a	a	DET
ejpam-1675	377	2	unified	unified	ADJ
ejpam-1675	377	3	approach	approach	NOUN
ejpam-1675	377	4	to	to	ADP
ejpam-1675	377	5	information	information	NOUN
ejpam-1675	377	6	-	-	PUNCT
ejpam-1675	377	7	theoretic	theoretic	NOUN
ejpam-1675	377	8	and	and	CCONJ
ejpam-1675	377	9	bayesian	bayesian	NOUN
ejpam-1675	377	10	model	model	NOUN
ejpam-1675	377	11	selection	selection	NOUN
ejpam-1675	377	12	criteria	criterion	NOUN
ejpam-1675	377	13	.	.	PUNCT
ejpam-1675	378	1	crete	crete	PROPN
ejpam-1675	378	2	,	,	PUNCT
ejpam-1675	378	3	greece	greece	PROPN
ejpam-1675	378	4	,	,	PUNCT
ejpam-1675	378	5	2000	2000	NUM
ejpam-1675	378	6	.	.	PUNCT
ejpam-1675	379	1	the	the	DET
ejpam-1675	379	2	6th	6th	ADJ
ejpam-1675	379	3	world	world	NOUN
ejpam-1675	379	4	meeting	meeting	NOUN
ejpam-1675	379	5	of	of	ADP
ejpam-1675	379	6	the	the	DET
ejpam-1675	379	7	international	international	ADJ
ejpam-1675	379	8	society	society	NOUN
ejpam-1675	379	9	for	for	ADP
ejpam-1675	379	10	bayesian	bayesian	NOUN
ejpam-1675	379	11	analysis	analysis	NOUN
ejpam-1675	379	12	.	.	PUNCT
ejpam-1675	380	1	[	[	X
ejpam-1675	380	2	11	11	NUM
ejpam-1675	380	3	]	]	PUNCT
ejpam-1675	380	4	n	n	DET
ejpam-1675	380	5	cliff	cliff	NOUN
ejpam-1675	380	6	.	.	PUNCT
ejpam-1675	381	1	some	some	DET
ejpam-1675	381	2	cautions	caution	NOUN
ejpam-1675	381	3	concerning	concern	VERB
ejpam-1675	381	4	the	the	DET
ejpam-1675	381	5	application	application	NOUN
ejpam-1675	381	6	of	of	ADP
ejpam-1675	381	7	causal	causal	ADJ
ejpam-1675	381	8	modeling	modeling	NOUN
ejpam-1675	381	9	methods	method	NOUN
ejpam-1675	381	10	.	.	PUNCT
ejpam-1675	382	1	multivariate	multivariate	VERB
ejpam-1675	382	2	behavioral	behavioral	ADJ
ejpam-1675	382	3	research	research	NOUN
ejpam-1675	382	4	,	,	PUNCT
ejpam-1675	382	5	18:115–126	18:115–126	NUM
ejpam-1675	382	6	,	,	PUNCT
ejpam-1675	382	7	1983	1983	NUM
ejpam-1675	382	8	.	.	PUNCT
ejpam-1675	383	1	[	[	X
ejpam-1675	383	2	12	12	NUM
ejpam-1675	383	3	]	]	X
ejpam-1675	383	4	h	h	NOUN
ejpam-1675	383	5	cramér	cramér	PROPN
ejpam-1675	383	6	.	.	PUNCT
ejpam-1675	384	1	mathematical	mathematical	ADJ
ejpam-1675	384	2	methods	method	NOUN
ejpam-1675	384	3	of	of	ADP
ejpam-1675	384	4	statistics	statistic	NOUN
ejpam-1675	384	5	.	.	PUNCT
ejpam-1675	385	1	princeton	princeton	PROPN
ejpam-1675	385	2	university	university	PROPN
ejpam-1675	385	3	press	press	PROPN
ejpam-1675	385	4	,	,	PUNCT
ejpam-1675	385	5	princeton	princeton	PROPN
ejpam-1675	385	6	,	,	PUNCT
ejpam-1675	385	7	new	new	PROPN
ejpam-1675	385	8	jersey	jersey	PROPN
ejpam-1675	385	9	,	,	PUNCT
ejpam-1675	385	10	1946	1946	NUM
ejpam-1675	385	11	.	.	PUNCT
ejpam-1675	386	1	[	[	X
ejpam-1675	386	2	13	13	NUM
ejpam-1675	386	3	]	]	X
ejpam-1675	386	4	e	e	X
ejpam-1675	386	5	deniz	deniz	PROPN
ejpam-1675	386	6	,	,	PUNCT
ejpam-1675	386	7	h	h	NOUN
ejpam-1675	386	8	bozdogan	bozdogan	NOUN
ejpam-1675	386	9	,	,	PUNCT
ejpam-1675	386	10	and	and	CCONJ
ejpam-1675	386	11	s	s	AUX
ejpam-1675	386	12	katraggadda	katraggadda	NOUN
ejpam-1675	386	13	.	.	PUNCT
ejpam-1675	387	1	structural	structural	ADJ
ejpam-1675	387	2	equation	equation	NOUN
ejpam-1675	387	3	modeling	modeling	NOUN
ejpam-1675	387	4	(	(	PUNCT
ejpam-1675	387	5	sem	sem	NOUN
ejpam-1675	387	6	)	)	PUNCT
ejpam-1675	387	7	of	of	ADP
ejpam-1675	387	8	categorical	categorical	ADJ
ejpam-1675	387	9	and	and	CCONJ
ejpam-1675	387	10	mixed	mixed	ADJ
ejpam-1675	387	11	-	-	PUNCT
ejpam-1675	387	12	data	data	NOUN
ejpam-1675	387	13	using	use	VERB
ejpam-1675	387	14	the	the	DET
ejpam-1675	387	15	novel	novel	ADJ
ejpam-1675	387	16	gifi	gifi	NOUN
ejpam-1675	387	17	transformations	transformation	NOUN
ejpam-1675	387	18	and	and	CCONJ
ejpam-1675	387	19	information	information	NOUN
ejpam-1675	387	20	complexity	complexity	NOUN
ejpam-1675	387	21	(	(	PUNCT
ejpam-1675	387	22	icomp	icomp	ADJ
ejpam-1675	387	23	)	)	PUNCT
ejpam-1675	387	24	criterion	criterion	NOUN
ejpam-1675	387	25	.	.	PUNCT
ejpam-1675	388	1	journal	journal	NOUN
ejpam-1675	388	2	of	of	ADP
ejpam-1675	388	3	the	the	DET
ejpam-1675	388	4	school	school	NOUN
ejpam-1675	388	5	of	of	ADP
ejpam-1675	388	6	business	business	PROPN
ejpam-1675	388	7	administration	administration	PROPN
ejpam-1675	388	8	,	,	PUNCT
ejpam-1675	388	9	40(1):86–123	40(1):86–123	NUM
ejpam-1675	388	10	,	,	PUNCT
ejpam-1675	388	11	2011	2011	NUM
ejpam-1675	388	12	.	.	PUNCT
ejpam-1675	389	1	[	[	X
ejpam-1675	389	2	14	14	NUM
ejpam-1675	389	3	]	]	X
ejpam-1675	389	4	e	e	X
ejpam-1675	389	5	a	a	DET
ejpam-1675	389	6	deniz	deniz	PROPN
ejpam-1675	389	7	.	.	PUNCT
ejpam-1675	390	1	information	information	NOUN
ejpam-1675	390	2	criteria	criterion	NOUN
ejpam-1675	390	3	in	in	ADP
ejpam-1675	390	4	structural	structural	ADJ
ejpam-1675	390	5	equation	equation	NOUN
ejpam-1675	390	6	models	model	NOUN
ejpam-1675	390	7	.	.	PUNCT
ejpam-1675	391	1	unpublished	unpublished	ADJ
ejpam-1675	391	2	ph.d	ph.d	PROPN
ejpam-1675	391	3	.	.	PUNCT
ejpam-1675	392	1	thesis	thesis	PROPN
ejpam-1675	392	2	,	,	PUNCT
ejpam-1675	392	3	mimar	mimar	PROPN
ejpam-1675	392	4	sinan	sinan	PROPN
ejpam-1675	392	5	fine	fine	PROPN
ejpam-1675	392	6	arts	arts	PROPN
ejpam-1675	392	7	university	university	PROPN
ejpam-1675	392	8	,	,	PUNCT
ejpam-1675	392	9	2007	2007	NUM
ejpam-1675	392	10	.	.	PUNCT
ejpam-1675	393	1	[	[	X
ejpam-1675	393	2	15	15	NUM
ejpam-1675	393	3	]	]	X
ejpam-1675	393	4	x	x	SYM
ejpam-1675	393	5	fan	fan	NOUN
ejpam-1675	393	6	and	and	CCONJ
ejpam-1675	393	7	x	x	PROPN
ejpam-1675	393	8	fan	fan	NOUN
ejpam-1675	393	9	.	.	PUNCT
ejpam-1675	394	1	using	use	VERB
ejpam-1675	394	2	sas	sas	PROPN
ejpam-1675	394	3	for	for	ADP
ejpam-1675	394	4	monte	monte	PROPN
ejpam-1675	394	5	carlo	carlo	PROPN
ejpam-1675	394	6	simulation	simulation	PROPN
ejpam-1675	394	7	research	research	PROPN
ejpam-1675	394	8	in	in	ADP
ejpam-1675	394	9	sem	sem	PROPN
ejpam-1675	394	10	.	.	PUNCT
ejpam-1675	395	1	structural	structural	ADJ
ejpam-1675	395	2	equation	equation	NOUN
ejpam-1675	395	3	modeling	modeling	NOUN
ejpam-1675	395	4	,	,	PUNCT
ejpam-1675	395	5	12(2):299–333	12(2):299–333	NUM
ejpam-1675	395	6	,	,	PUNCT
ejpam-1675	395	7	2005	2005	NUM
ejpam-1675	395	8	.	.	PUNCT
ejpam-1675	396	1	[	[	X
ejpam-1675	396	2	16	16	NUM
ejpam-1675	396	3	]	]	X
ejpam-1675	396	4	b	b	X
ejpam-1675	396	5	frieden	frieden	X
ejpam-1675	396	6	.	.	PUNCT
ejpam-1675	397	1	physics	physics	PROPN
ejpam-1675	397	2	from	from	ADP
ejpam-1675	397	3	fisher	fisher	PROPN
ejpam-1675	397	4	information	information	NOUN
ejpam-1675	397	5	.	.	PUNCT
ejpam-1675	398	1	cambridge	cambridge	PROPN
ejpam-1675	398	2	university	university	PROPN
ejpam-1675	398	3	press	press	PROPN
ejpam-1675	398	4	,	,	PUNCT
ejpam-1675	398	5	cambridge	cambridge	PROPN
ejpam-1675	398	6	,	,	PUNCT
ejpam-1675	398	7	uk	uk	PROPN
ejpam-1675	398	8	,	,	PUNCT
ejpam-1675	398	9	1998	1998	NUM
ejpam-1675	398	10	.	.	PUNCT
ejpam-1675	399	1	[	[	X
ejpam-1675	399	2	17	17	NUM
ejpam-1675	399	3	]	]	PUNCT
ejpam-1675	399	4	n	n	X
ejpam-1675	399	5	gheissari	gheissari	ADJ
ejpam-1675	399	6	and	and	CCONJ
ejpam-1675	399	7	a	a	DET
ejpam-1675	399	8	bab	bab	PROPN
ejpam-1675	399	9	-	-	PUNCT
ejpam-1675	399	10	hadiashar	hadiashar	NOUN
ejpam-1675	399	11	.	.	PUNCT
ejpam-1675	400	1	detecting	detect	VERB
ejpam-1675	400	2	cylinders	cylinder	NOUN
ejpam-1675	400	3	in	in	ADP
ejpam-1675	400	4	3d	3d	PROPN
ejpam-1675	400	5	range	range	NOUN
ejpam-1675	400	6	data	datum	NOUN
ejpam-1675	400	7	using	use	VERB
ejpam-1675	400	8	model	model	NOUN
ejpam-1675	400	9	selection	selection	NOUN
ejpam-1675	400	10	criteria	criterion	NOUN
ejpam-1675	400	11	.	.	PUNCT
ejpam-1675	401	1	proceeding	proceed	VERB
ejpam-1675	401	2	of	of	ADP
ejpam-1675	401	3	fifth	fifth	ADJ
ejpam-1675	401	4	international	international	ADJ
ejpam-1675	401	5	conference	conference	NOUN
ejpam-1675	401	6	on	on	ADP
ejpam-1675	401	7	3	3	NUM
ejpam-1675	401	8	-	-	SYM
ejpam-1675	401	9	d	d	NOUN
ejpam-1675	401	10	digital	digital	ADJ
ejpam-1675	401	11	imaging	imaging	NOUN
ejpam-1675	401	12	and	and	CCONJ
ejpam-1675	401	13	modelling	modelling	NOUN
ejpam-1675	401	14	,	,	PUNCT
ejpam-1675	401	15	2005	2005	NUM
ejpam-1675	401	16	.	.	PUNCT
ejpam-1675	402	1	[	[	X
ejpam-1675	402	2	18	18	NUM
ejpam-1675	402	3	]	]	X
ejpam-1675	402	4	k	k	PROPN
ejpam-1675	402	5	jöreskog	jöreskog	PROPN
ejpam-1675	402	6	.	.	PUNCT
ejpam-1675	403	1	testing	test	VERB
ejpam-1675	403	2	structural	structural	ADJ
ejpam-1675	403	3	equation	equation	NOUN
ejpam-1675	403	4	models	model	NOUN
ejpam-1675	403	5	.	.	PUNCT
ejpam-1675	404	1	,	,	PUNCT
ejpam-1675	404	2	chapter	chapter	NOUN
ejpam-1675	404	3	testing	test	VERB
ejpam-1675	404	4	structural	structural	ADJ
ejpam-1675	404	5	equation	equation	NOUN
ejpam-1675	404	6	models	model	NOUN
ejpam-1675	404	7	.	.	PUNCT
ejpam-1675	405	1	sage	sage	NOUN
ejpam-1675	405	2	publication	publication	NOUN
ejpam-1675	405	3	,	,	PUNCT
ejpam-1675	405	4	london	london	PROPN
ejpam-1675	405	5	,	,	PUNCT
ejpam-1675	405	6	1993	1993	NUM
ejpam-1675	405	7	.	.	PUNCT
ejpam-1675	406	1	[	[	X
ejpam-1675	406	2	19	19	NUM
ejpam-1675	406	3	]	]	X
ejpam-1675	406	4	k	k	NOUN
ejpam-1675	406	5	jöreskog	jöreskog	PROPN
ejpam-1675	406	6	and	and	CCONJ
ejpam-1675	406	7	d	d	ADP
ejpam-1675	406	8	sörbom	sörbom	NOUN
ejpam-1675	406	9	.	.	PUNCT
ejpam-1675	407	1	lisrel	lisrel	NOUN
ejpam-1675	407	2	7	7	NUM
ejpam-1675	407	3	a	a	DET
ejpam-1675	407	4	guide	guide	NOUN
ejpam-1675	407	5	to	to	ADP
ejpam-1675	407	6	the	the	DET
ejpam-1675	407	7	program	program	NOUN
ejpam-1675	407	8	and	and	CCONJ
ejpam-1675	407	9	applications	application	NOUN
ejpam-1675	407	10	2nd	2nd	PROPN
ejpam-1675	407	11	edition	edition	PROPN
ejpam-1675	407	12	.	.	PUNCT
ejpam-1675	408	1	spss	spss	PROPN
ejpam-1675	408	2	inc	inc	PROPN
ejpam-1675	408	3	,	,	PUNCT
ejpam-1675	408	4	chicago	chicago	PROPN
ejpam-1675	408	5	,	,	PUNCT
ejpam-1675	408	6	1989	1989	NUM
ejpam-1675	408	7	.	.	PUNCT
ejpam-1675	409	1	references	reference	NOUN
ejpam-1675	409	2	301	301	NUM
ejpam-1675	409	3	[	[	X
ejpam-1675	409	4	20	20	NUM
ejpam-1675	409	5	]	]	PUNCT
ejpam-1675	409	6	s	s	VERB
ejpam-1675	409	7	kullback	kullback	NOUN
ejpam-1675	409	8	.	.	PUNCT
ejpam-1675	410	1	information	information	NOUN
ejpam-1675	410	2	theory	theory	NOUN
ejpam-1675	410	3	and	and	CCONJ
ejpam-1675	410	4	statistics	statistic	NOUN
ejpam-1675	410	5	.	.	PUNCT
ejpam-1675	411	1	dover	dover	PROPN
ejpam-1675	411	2	publications	publications	PROPN
ejpam-1675	411	3	,	,	PUNCT
ejpam-1675	411	4	dover	dover	PROPN
ejpam-1675	411	5	,	,	PUNCT
ejpam-1675	411	6	new	new	PROPN
ejpam-1675	411	7	york	york	PROPN
ejpam-1675	411	8	,	,	PUNCT
ejpam-1675	411	9	1968	1968	NUM
ejpam-1675	411	10	.	.	PUNCT
ejpam-1675	412	1	[	[	X
ejpam-1675	412	2	21	21	NUM
ejpam-1675	412	3	]	]	X
ejpam-1675	412	4	s	s	VERB
ejpam-1675	412	5	kullback	kullback	NOUN
ejpam-1675	412	6	and	and	CCONJ
ejpam-1675	412	7	r	r	NOUN
ejpam-1675	412	8	leibler	leibler	NOUN
ejpam-1675	412	9	.	.	PUNCT
ejpam-1675	413	1	on	on	ADP
ejpam-1675	413	2	information	information	NOUN
ejpam-1675	413	3	and	and	CCONJ
ejpam-1675	413	4	sufficiency	sufficiency	NOUN
ejpam-1675	413	5	.	.	PUNCT
ejpam-1675	414	1	annals	annal	NOUN
ejpam-1675	414	2	of	of	ADP
ejpam-1675	414	3	mathematical	mathematical	ADJ
ejpam-1675	414	4	statistics	statistic	NOUN
ejpam-1675	414	5	,	,	PUNCT
ejpam-1675	414	6	22:79–86	22:79–86	NUM
ejpam-1675	414	7	,	,	PUNCT
ejpam-1675	414	8	1951	1951	NUM
ejpam-1675	414	9	.	.	PUNCT
ejpam-1675	415	1	[	[	X
ejpam-1675	415	2	22	22	NUM
ejpam-1675	415	3	]	]	X
ejpam-1675	415	4	s	s	VERB
ejpam-1675	415	5	a	a	DET
ejpam-1675	415	6	mulaik	mulaik	NOUN
ejpam-1675	415	7	.	.	PUNCT
ejpam-1675	416	1	linear	linear	PROPN
ejpam-1675	416	2	causal	causal	ADJ
ejpam-1675	416	3	modeling	modeling	NOUN
ejpam-1675	416	4	with	with	ADP
ejpam-1675	416	5	structural	structural	ADJ
ejpam-1675	416	6	equations	equation	NOUN
ejpam-1675	416	7	.	.	PUNCT
ejpam-1675	417	1	chapman	chapman	NOUN
ejpam-1675	417	2	and	and	CCONJ
ejpam-1675	417	3	hall	hall	PROPN
ejpam-1675	417	4	,	,	PUNCT
ejpam-1675	417	5	2009	2009	NUM
ejpam-1675	417	6	.	.	PUNCT
ejpam-1675	418	1	[	[	X
ejpam-1675	418	2	23	23	NUM
ejpam-1675	418	3	]	]	X
ejpam-1675	418	4	c	c	PROPN
ejpam-1675	418	5	r	r	PROPN
ejpam-1675	418	6	rao	rao	PROPN
ejpam-1675	418	7	.	.	PUNCT
ejpam-1675	419	1	information	information	NOUN
ejpam-1675	419	2	and	and	CCONJ
ejpam-1675	419	3	accuracy	accuracy	NOUN
ejpam-1675	419	4	attainable	attainable	ADJ
ejpam-1675	419	5	in	in	ADP
ejpam-1675	419	6	the	the	DET
ejpam-1675	419	7	estimation	estimation	NOUN
ejpam-1675	419	8	of	of	ADP
ejpam-1675	419	9	statistical	statistical	ADJ
ejpam-1675	419	10	parameters	parameter	NOUN
ejpam-1675	419	11	.	.	PUNCT
ejpam-1675	420	1	bulletin	bulletin	NOUN
ejpam-1675	420	2	of	of	ADP
ejpam-1675	420	3	the	the	DET
ejpam-1675	420	4	calcutta	calcutta	PROPN
ejpam-1675	420	5	mathematical	mathematical	ADJ
ejpam-1675	420	6	society	society	NOUN
ejpam-1675	420	7	,	,	PUNCT
ejpam-1675	420	8	37:81	37:81	NUM
ejpam-1675	420	9	,	,	PUNCT
ejpam-1675	420	10	1945	1945	NUM
ejpam-1675	420	11	.	.	PUNCT
ejpam-1675	421	1	[	[	X
ejpam-1675	421	2	24	24	NUM
ejpam-1675	421	3	]	]	X
ejpam-1675	421	4	c	c	PROPN
ejpam-1675	421	5	r	r	PROPN
ejpam-1675	421	6	rao	rao	PROPN
ejpam-1675	421	7	.	.	PUNCT
ejpam-1675	422	1	minimum	minimum	ADJ
ejpam-1675	422	2	variance	variance	NOUN
ejpam-1675	422	3	and	and	CCONJ
ejpam-1675	422	4	the	the	DET
ejpam-1675	422	5	estimation	estimation	NOUN
ejpam-1675	422	6	of	of	ADP
ejpam-1675	422	7	several	several	ADJ
ejpam-1675	422	8	parameters	parameter	NOUN
ejpam-1675	422	9	.	.	PUNCT
ejpam-1675	423	1	in	in	ADP
ejpam-1675	423	2	proceedings	proceeding	NOUN
ejpam-1675	423	3	of	of	ADP
ejpam-1675	423	4	the	the	DET
ejpam-1675	423	5	cambridge	cambridge	PROPN
ejpam-1675	423	6	philosophical	philosophical	ADJ
ejpam-1675	423	7	society	society	NOUN
ejpam-1675	423	8	.	.	PUNCT
ejpam-1675	423	9	,	,	PUNCT
ejpam-1675	423	10	volume	volume	NOUN
ejpam-1675	423	11	43	43	NUM
ejpam-1675	423	12	,	,	PUNCT
ejpam-1675	423	13	page	page	NOUN
ejpam-1675	423	14	280	280	NUM
ejpam-1675	423	15	,	,	PUNCT
ejpam-1675	423	16	1947	1947	NUM
ejpam-1675	423	17	.	.	PUNCT
ejpam-1675	424	1	[	[	X
ejpam-1675	424	2	25	25	NUM
ejpam-1675	424	3	]	]	X
ejpam-1675	424	4	c	c	PROPN
ejpam-1675	424	5	r	r	PROPN
ejpam-1675	424	6	rao	rao	PROPN
ejpam-1675	424	7	.	.	PUNCT
ejpam-1675	425	1	sufficient	sufficient	ADJ
ejpam-1675	425	2	statistics	statistic	NOUN
ejpam-1675	425	3	and	and	CCONJ
ejpam-1675	425	4	minimum	minimum	ADJ
ejpam-1675	425	5	variance	variance	NOUN
ejpam-1675	425	6	estimates	estimate	NOUN
ejpam-1675	425	7	.	.	PUNCT
ejpam-1675	426	1	in	in	ADP
ejpam-1675	426	2	proceedings	proceeding	NOUN
ejpam-1675	426	3	of	of	ADP
ejpam-1675	426	4	the	the	DET
ejpam-1675	426	5	cambridge	cambridge	PROPN
ejpam-1675	426	6	philosophical	philosophical	ADJ
ejpam-1675	426	7	society	society	NOUN
ejpam-1675	426	8	.	.	PUNCT
ejpam-1675	426	9	,	,	PUNCT
ejpam-1675	426	10	volume	volume	NOUN
ejpam-1675	426	11	45	45	NUM
ejpam-1675	426	12	,	,	PUNCT
ejpam-1675	426	13	page	page	NOUN
ejpam-1675	426	14	213	213	NUM
ejpam-1675	426	15	,	,	PUNCT
ejpam-1675	426	16	1948	1948	NUM
ejpam-1675	426	17	.	.	PUNCT
ejpam-1675	427	1	[	[	X
ejpam-1675	427	2	26	26	NUM
ejpam-1675	427	3	]	]	X
ejpam-1675	427	4	j	j	PROPN
ejpam-1675	427	5	rissanen	rissanen	NOUN
ejpam-1675	427	6	.	.	PUNCT
ejpam-1675	428	1	modeling	modeling	NOUN
ejpam-1675	428	2	by	by	ADP
ejpam-1675	428	3	shortest	short	ADJ
ejpam-1675	428	4	data	datum	NOUN
ejpam-1675	428	5	description	description	NOUN
ejpam-1675	428	6	.	.	PUNCT
ejpam-1675	429	1	automatica	automatica	PROPN
ejpam-1675	429	2	,	,	PUNCT
ejpam-1675	429	3	pages	page	NOUN
ejpam-1675	429	4	465–471	465–471	NUM
ejpam-1675	429	5	,	,	PUNCT
ejpam-1675	429	6	1978	1978	NUM
ejpam-1675	429	7	.	.	PUNCT
ejpam-1675	430	1	[	[	X
ejpam-1675	430	2	27	27	NUM
ejpam-1675	430	3	]	]	X
ejpam-1675	430	4	y	y	PROPN
ejpam-1675	430	5	sakamoto	sakamoto	PROPN
ejpam-1675	430	6	,	,	PUNCT
ejpam-1675	430	7	m	m	PROPN
ejpam-1675	430	8	ishiguro	ishiguro	PROPN
ejpam-1675	430	9	,	,	PUNCT
ejpam-1675	430	10	and	and	CCONJ
ejpam-1675	430	11	g	g	PROPN
ejpam-1675	430	12	kitagawa	kitagawa	PROPN
ejpam-1675	430	13	.	.	PUNCT
ejpam-1675	431	1	akaike	akaike	ADJ
ejpam-1675	431	2	information	information	NOUN
ejpam-1675	431	3	criterion	criterion	NOUN
ejpam-1675	431	4	statistics	statistic	NOUN
ejpam-1675	431	5	.	.	PUNCT
ejpam-1675	432	1	dordrecht	dordrecht	PROPN
ejpam-1675	432	2	,	,	PUNCT
ejpam-1675	432	3	the	the	DET
ejpam-1675	432	4	netherlands	netherlands	PROPN
ejpam-1675	432	5	:	:	PUNCT
ejpam-1675	432	6	reidel	reidel	PROPN
ejpam-1675	432	7	,	,	PUNCT
ejpam-1675	432	8	1986	1986	NUM
ejpam-1675	432	9	.	.	PUNCT
ejpam-1675	433	1	[	[	X
ejpam-1675	433	2	28	28	NUM
ejpam-1675	433	3	]	]	X
ejpam-1675	433	4	g	g	PROPN
ejpam-1675	433	5	schwarz	schwarz	PROPN
ejpam-1675	433	6	.	.	PUNCT
ejpam-1675	433	7	estimating	estimate	VERB
ejpam-1675	433	8	the	the	DET
ejpam-1675	433	9	dimension	dimension	NOUN
ejpam-1675	433	10	of	of	ADP
ejpam-1675	433	11	a	a	DET
ejpam-1675	433	12	model	model	NOUN
ejpam-1675	433	13	.	.	PUNCT
ejpam-1675	434	1	annals	annal	NOUN
ejpam-1675	434	2	of	of	ADP
ejpam-1675	434	3	statistics	statistic	NOUN
ejpam-1675	434	4	,	,	PUNCT
ejpam-1675	434	5	pages	page	NOUN
ejpam-1675	434	6	461–464	461–464	NUM
ejpam-1675	434	7	,	,	PUNCT
ejpam-1675	434	8	1978	1978	NUM
ejpam-1675	434	9	.	.	PUNCT
ejpam-1675	435	1	[	[	X
ejpam-1675	435	2	29	29	NUM
ejpam-1675	435	3	]	]	X
ejpam-1675	435	4	m	m	PROPN
ejpam-1675	435	5	van	van	NOUN
ejpam-1675	435	6	emden	emden	NOUN
ejpam-1675	435	7	.	.	PUNCT
ejpam-1675	436	1	an	an	DET
ejpam-1675	436	2	analysis	analysis	NOUN
ejpam-1675	436	3	of	of	ADP
ejpam-1675	436	4	complexity	complexity	NOUN
ejpam-1675	436	5	.	.	PUNCT
ejpam-1675	437	1	in	in	ADP
ejpam-1675	437	2	mathematical	mathematical	ADJ
ejpam-1675	437	3	centre	centre	NOUN
ejpam-1675	437	4	tracts	tract	NOUN
ejpam-1675	437	5	.	.	PUNCT
ejpam-1675	437	6	,	,	PUNCT
ejpam-1675	437	7	volume	volume	NOUN
ejpam-1675	437	8	35	35	NUM
ejpam-1675	437	9	.	.	PUNCT
ejpam-1675	437	10	mathematisch	mathematisch	PROPN
ejpam-1675	437	11	centrum	centrum	PROPN
ejpam-1675	437	12	,	,	PUNCT
ejpam-1675	437	13	1971	1971	NUM
ejpam-1675	437	14	.	.	PUNCT
ejpam-1675	438	1	[	[	X
ejpam-1675	438	2	30	30	NUM
ejpam-1675	438	3	]	]	X
ejpam-1675	438	4	h	h	NOUN
ejpam-1675	438	5	y	y	PROPN
ejpam-1675	438	6	yang	yang	PROPN
ejpam-1675	438	7	and	and	CCONJ
ejpam-1675	438	8	h	h	NOUN
ejpam-1675	438	9	bozdogan	bozdogan	NOUN
ejpam-1675	438	10	.	.	PUNCT
ejpam-1675	439	1	learning	learn	VERB
ejpam-1675	439	2	factor	factor	NOUN
ejpam-1675	439	3	patterns	pattern	NOUN
ejpam-1675	439	4	in	in	ADP
ejpam-1675	439	5	exploratory	exploratory	ADJ
ejpam-1675	439	6	factor	factor	NOUN
ejpam-1675	439	7	analysis	analysis	NOUN
ejpam-1675	439	8	using	use	VERB
ejpam-1675	439	9	the	the	DET
ejpam-1675	439	10	genetic	genetic	ADJ
ejpam-1675	439	11	algorithm	algorithm	NOUN
ejpam-1675	439	12	and	and	CCONJ
ejpam-1675	439	13	information	information	NOUN
ejpam-1675	439	14	complexity	complexity	NOUN
ejpam-1675	439	15	as	as	ADP
ejpam-1675	439	16	the	the	DET
ejpam-1675	439	17	fitness	fitness	NOUN
ejpam-1675	439	18	function	function	NOUN
ejpam-1675	439	19	.	.	PUNCT
ejpam-1675	440	1	journal	journal	NOUN
ejpam-1675	440	2	of	of	ADP
ejpam-1675	440	3	pattern	pattern	NOUN
ejpam-1675	440	4	recognition	recognition	NOUN
ejpam-1675	440	5	research	research	NOUN
ejpam-1675	440	6	,	,	PUNCT
ejpam-1675	440	7	2:307–326	2:307–326	NUM
ejpam-1675	440	8	,	,	PUNCT
ejpam-1675	440	9	2011	2011	NUM
ejpam-1675	440	10	.	.	PUNCT