id	sid	tid	token	lemma	pos
ajbmeb-989	1	1	american	american	PROPN
ajbmeb-989	1	2	journal	journal	PROPN
ajbmeb-989	1	3	of	of	ADP
ajbmeb-989	1	4	business	business	NOUN
ajbmeb-989	1	5	management	management	NOUN
ajbmeb-989	1	6	,	,	PUNCT
ajbmeb-989	1	7	economics	economic	NOUN
ajbmeb-989	1	8	and	and	CCONJ
ajbmeb-989	1	9	banking	banking	NOUN
ajbmeb-989	1	10	issn	issn	PROPN
ajbmeb-989	1	11	(	(	PUNCT
ajbmeb-989	1	12	e	e	NOUN
ajbmeb-989	1	13	):	):	PUNCT
ajbmeb-989	1	14	2832	2832	NUM
ajbmeb-989	1	15	-	-	SYM
ajbmeb-989	1	16	8078	8078	NUM
ajbmeb-989	1	17	volume	volume	NOUN
ajbmeb-989	1	18	13	13	NUM
ajbmeb-989	1	19	,	,	PUNCT
ajbmeb-989	1	20	|	|	ADV
ajbmeb-989	1	21	june	june	PROPN
ajbmeb-989	1	22	,	,	PUNCT
ajbmeb-989	1	23	2023	2023	NUM
ajbmeb-989	1	24	p	p	NOUN
ajbmeb-989	1	25	a	a	DET
ajbmeb-989	1	26	g	g	NOUN
ajbmeb-989	1	27	e	e	NOUN
ajbmeb-989	1	28	|	|	ADV
ajbmeb-989	1	29	74	74	NUM
ajbmeb-989	1	30	www.americanjournal.org	www.americanjournal.org	NOUN
ajbmeb-989	1	31	using	use	VERB
ajbmeb-989	1	32	artificial	artificial	ADJ
ajbmeb-989	1	33	neural	neural	ADJ
ajbmeb-989	1	34	networks	network	NOUN
ajbmeb-989	1	35	and	and	CCONJ
ajbmeb-989	1	36	multiple	multiple	ADJ
ajbmeb-989	1	37	logistic	logistic	ADJ
ajbmeb-989	1	38	regression	regression	NOUN
ajbmeb-989	1	39	analysis	analysis	NOUN
ajbmeb-989	1	40	to	to	PART
ajbmeb-989	1	41	study	study	VERB
ajbmeb-989	1	42	some	some	DET
ajbmeb-989	1	43	factors	factor	NOUN
ajbmeb-989	1	44	resulting	result	VERB
ajbmeb-989	1	45	leukemia	leukemia	NOUN
ajbmeb-989	1	46	hayder	hayder	NOUN
ajbmeb-989	1	47	sami	sami	PROPN
ajbmeb-989	1	48	alwan	alwan	PROPN
ajbmeb-989	1	49	college	college	PROPN
ajbmeb-989	1	50	of	of	ADP
ajbmeb-989	1	51	administration	administration	NOUN
ajbmeb-989	1	52	and	and	CCONJ
ajbmeb-989	1	53	economics	economics	PROPN
ajbmeb-989	1	54	/	/	SYM
ajbmeb-989	1	55	university	university	PROPN
ajbmeb-989	1	56	of	of	ADP
ajbmeb-989	1	57	maysan	maysan	PROPN
ajbmeb-989	1	58	-	-	PUNCT
ajbmeb-989	1	59	iraq	iraq	PROPN
ajbmeb-989	1	60	haydersami.a87@uomisan.edu.iq	haydersami.a87@uomisan.edu.iq	PROPN
ajbmeb-989	1	61	a	a	PRON
ajbmeb-989	1	62	b	b	PROPN
ajbmeb-989	1	63	s	s	ADP
ajbmeb-989	1	64	t	t	PROPN
ajbmeb-989	1	65	r	r	NOUN
ajbmeb-989	1	66	a	a	DET
ajbmeb-989	1	67	c	c	NOUN
ajbmeb-989	1	68	t	t	NOUN
ajbmeb-989	1	69	k	k	X
ajbmeb-989	1	70	e	e	PROPN
ajbmeb-989	1	71	y	y	PROPN
ajbmeb-989	1	72	w	w	NOUN
ajbmeb-989	2	1	o	o	NOUN
ajbmeb-989	2	2	r	r	NOUN
ajbmeb-989	2	3	d	d	PROPN
ajbmeb-989	2	4	s	s	VERB
ajbmeb-989	2	5	this	this	DET
ajbmeb-989	2	6	study	study	NOUN
ajbmeb-989	2	7	investigated	investigate	VERB
ajbmeb-989	2	8	some	some	DET
ajbmeb-989	2	9	factors	factor	NOUN
ajbmeb-989	2	10	which	which	PRON
ajbmeb-989	2	11	lead	lead	VERB
ajbmeb-989	2	12	to	to	ADP
ajbmeb-989	2	13	leukemia	leukemia	NOUN
ajbmeb-989	2	14	using	using	NOUN
ajbmeb-989	2	15	,	,	PUNCT
ajbmeb-989	2	16	artificial	artificial	ADJ
ajbmeb-989	2	17	neural	neural	ADJ
ajbmeb-989	2	18	networks	network	NOUN
ajbmeb-989	2	19	(	(	PUNCT
ajbmeb-989	2	20	ann	ann	PROPN
ajbmeb-989	2	21	)	)	PUNCT
ajbmeb-989	2	22	and	and	CCONJ
ajbmeb-989	2	23	multiple	multiple	ADJ
ajbmeb-989	2	24	logistic	logistic	ADJ
ajbmeb-989	2	25	regression	regression	NOUN
ajbmeb-989	2	26	analysis	analysis	NOUN
ajbmeb-989	2	27	.	.	PUNCT
ajbmeb-989	3	1	the	the	DET
ajbmeb-989	3	2	study	study	NOUN
ajbmeb-989	3	3	also	also	ADV
ajbmeb-989	3	4	compared	compare	VERB
ajbmeb-989	3	5	between	between	ADP
ajbmeb-989	3	6	these	these	DET
ajbmeb-989	3	7	methods	method	NOUN
ajbmeb-989	3	8	determine	determine	VERB
ajbmeb-989	3	9	which	which	DET
ajbmeb-989	3	10	method	method	NOUN
ajbmeb-989	3	11	is	be	AUX
ajbmeb-989	3	12	better	well	ADJ
ajbmeb-989	3	13	.	.	PUNCT
ajbmeb-989	4	1	the	the	DET
ajbmeb-989	4	2	study	study	NOUN
ajbmeb-989	4	3	included	include	VERB
ajbmeb-989	4	4	150	150	NUM
ajbmeb-989	4	5	observations	observation	NOUN
ajbmeb-989	4	6	and	and	CCONJ
ajbmeb-989	4	7	four	four	NUM
ajbmeb-989	4	8	variables	variable	NOUN
ajbmeb-989	4	9	:	:	PUNCT
ajbmeb-989	4	10	chronic	chronic	ADJ
ajbmeb-989	4	11	myeloid	myeloid	NOUN
ajbmeb-989	4	12	leukemia	leukemia	NOUN
ajbmeb-989	4	13	(	(	PUNCT
ajbmeb-989	4	14	cml	cml	PROPN
ajbmeb-989	4	15	)	)	PUNCT
ajbmeb-989	4	16	as	as	ADP
ajbmeb-989	4	17	a	a	DET
ajbmeb-989	4	18	response	response	NOUN
ajbmeb-989	4	19	variable	variable	NOUN
ajbmeb-989	4	20	,	,	PUNCT
ajbmeb-989	4	21	patient	patient	ADJ
ajbmeb-989	4	22	weight	weight	NOUN
ajbmeb-989	4	23	,	,	PUNCT
ajbmeb-989	4	24	blood	blood	NOUN
ajbmeb-989	4	25	platelets	platelet	NOUN
ajbmeb-989	4	26	(	(	PUNCT
ajbmeb-989	4	27	plt	plt	NOUN
ajbmeb-989	4	28	)	)	PUNCT
ajbmeb-989	4	29	,	,	PUNCT
ajbmeb-989	4	30	and	and	CCONJ
ajbmeb-989	4	31	the	the	DET
ajbmeb-989	4	32	bone	bone	NOUN
ajbmeb-989	4	33	marrow	marrow	NOUN
ajbmeb-989	4	34	edema	edema	PROPN
ajbmeb-989	4	35	(	(	PUNCT
ajbmeb-989	4	36	eme	eme	NOUN
ajbmeb-989	4	37	)	)	PUNCT
ajbmeb-989	4	38	as	as	ADP
ajbmeb-989	4	39	explanatory	explanatory	ADJ
ajbmeb-989	4	40	variables	variable	NOUN
ajbmeb-989	4	41	.	.	PUNCT
ajbmeb-989	5	1	the	the	DET
ajbmeb-989	5	2	model	model	NOUN
ajbmeb-989	5	3	's	's	PART
ajbmeb-989	5	4	goodness	goodness	NOUN
ajbmeb-989	5	5	of	of	ADP
ajbmeb-989	5	6	fit	fit	NOUN
ajbmeb-989	5	7	was	be	AUX
ajbmeb-989	5	8	measured	measure	VERB
ajbmeb-989	5	9	using	use	VERB
ajbmeb-989	5	10	the	the	DET
ajbmeb-989	5	11	maximum	maximum	ADJ
ajbmeb-989	5	12	likelihood	likelihood	NOUN
ajbmeb-989	5	13	ratio	ratio	NOUN
ajbmeb-989	5	14	test	test	NOUN
ajbmeb-989	5	15	,	,	PUNCT
ajbmeb-989	5	16	which	which	PRON
ajbmeb-989	5	17	followed	follow	VERB
ajbmeb-989	5	18	a	a	DET
ajbmeb-989	5	19	chi	chi	ADJ
ajbmeb-989	5	20	-	-	PUNCT
ajbmeb-989	5	21	square	square	ADJ
ajbmeb-989	5	22	distribution	distribution	NOUN
ajbmeb-989	5	23	.	.	PUNCT
ajbmeb-989	6	1	results	result	NOUN
ajbmeb-989	6	2	showed	show	VERB
ajbmeb-989	6	3	that	that	SCONJ
ajbmeb-989	6	4	the	the	DET
ajbmeb-989	6	5	relationship	relationship	NOUN
ajbmeb-989	6	6	between	between	ADP
ajbmeb-989	6	7	the	the	DET
ajbmeb-989	6	8	explanatory	explanatory	ADJ
ajbmeb-989	6	9	variables	variable	NOUN
ajbmeb-989	6	10	and	and	CCONJ
ajbmeb-989	6	11	response	response	NOUN
ajbmeb-989	6	12	variables	variable	NOUN
ajbmeb-989	6	13	is	be	AUX
ajbmeb-989	6	14	significant	significant	ADJ
ajbmeb-989	6	15	,	,	PUNCT
ajbmeb-989	6	16	indicating	indicate	VERB
ajbmeb-989	6	17	the	the	DET
ajbmeb-989	6	18	importance	importance	NOUN
ajbmeb-989	6	19	of	of	ADP
ajbmeb-989	6	20	the	the	DET
ajbmeb-989	6	21	explanatory	explanatory	ADJ
ajbmeb-989	6	22	variables	variable	NOUN
ajbmeb-989	6	23	in	in	ADP
ajbmeb-989	6	24	the	the	DET
ajbmeb-989	6	25	model	model	NOUN
ajbmeb-989	6	26	.	.	PUNCT
ajbmeb-989	7	1	the	the	DET
ajbmeb-989	7	2	logistic	logistic	ADJ
ajbmeb-989	7	3	regression	regression	NOUN
ajbmeb-989	7	4	model	model	NOUN
ajbmeb-989	7	5	(	(	PUNCT
ajbmeb-989	7	6	lrm	lrm	PROPN
ajbmeb-989	7	7	)	)	PUNCT
ajbmeb-989	7	8	's	's	PART
ajbmeb-989	7	9	parameters	parameter	NOUN
ajbmeb-989	7	10	were	be	AUX
ajbmeb-989	7	11	estimated	estimate	VERB
ajbmeb-989	7	12	using	use	VERB
ajbmeb-989	7	13	the	the	DET
ajbmeb-989	7	14	maximum	maximum	ADJ
ajbmeb-989	7	15	likelihood	likelihood	NOUN
ajbmeb-989	7	16	ratio	ratio	NOUN
ajbmeb-989	7	17	,	,	PUNCT
ajbmeb-989	7	18	and	and	CCONJ
ajbmeb-989	7	19	the	the	DET
ajbmeb-989	7	20	neural	neural	ADJ
ajbmeb-989	7	21	network	network	NOUN
ajbmeb-989	7	22	method	method	NOUN
ajbmeb-989	7	23	was	be	AUX
ajbmeb-989	7	24	also	also	ADV
ajbmeb-989	7	25	used	use	VERB
ajbmeb-989	7	26	to	to	PART
ajbmeb-989	7	27	analyze	analyze	VERB
ajbmeb-989	7	28	the	the	DET
ajbmeb-989	7	29	data	datum	NOUN
ajbmeb-989	7	30	.	.	PUNCT
ajbmeb-989	8	1	the	the	DET
ajbmeb-989	8	2	neural	neural	ADJ
ajbmeb-989	8	3	network	network	NOUN
ajbmeb-989	8	4	method	method	NOUN
ajbmeb-989	8	5	achieved	achieve	VERB
ajbmeb-989	8	6	a	a	DET
ajbmeb-989	8	7	much	much	ADV
ajbmeb-989	8	8	higher	high	ADJ
ajbmeb-989	8	9	accuracy	accuracy	NOUN
ajbmeb-989	8	10	rate	rate	NOUN
ajbmeb-989	8	11	than	than	ADP
ajbmeb-989	8	12	the	the	DET
ajbmeb-989	8	13	multiple	multiple	ADJ
ajbmeb-989	8	14	logistic	logistic	ADJ
ajbmeb-989	8	15	regression	regression	NOUN
ajbmeb-989	8	16	method	method	NOUN
ajbmeb-989	8	17	,	,	PUNCT
ajbmeb-989	8	18	with	with	ADP
ajbmeb-989	8	19	a	a	DET
ajbmeb-989	8	20	difference	difference	NOUN
ajbmeb-989	8	21	of	of	ADP
ajbmeb-989	8	22	20	20	NUM
ajbmeb-989	8	23	%	%	NOUN
ajbmeb-989	8	24	,	,	PUNCT
ajbmeb-989	8	25	indicating	indicate	VERB
ajbmeb-989	8	26	the	the	DET
ajbmeb-989	8	27	superiority	superiority	NOUN
ajbmeb-989	8	28	of	of	ADP
ajbmeb-989	8	29	the	the	DET
ajbmeb-989	8	30	neural	neural	ADJ
ajbmeb-989	8	31	network	network	NOUN
ajbmeb-989	8	32	method	method	NOUN
ajbmeb-989	8	33	over	over	ADP
ajbmeb-989	8	34	the	the	DET
ajbmeb-989	8	35	multiple	multiple	ADJ
ajbmeb-989	8	36	logistic	logistic	ADJ
ajbmeb-989	8	37	regression	regression	NOUN
ajbmeb-989	8	38	method	method	NOUN
ajbmeb-989	8	39	.	.	PUNCT
ajbmeb-989	9	1	analysis	analysis	NOUN
ajbmeb-989	9	2	,	,	PUNCT
ajbmeb-989	9	3	artificial	artificial	ADJ
ajbmeb-989	9	4	neural	neural	ADJ
ajbmeb-989	9	5	networks	network	NOUN
ajbmeb-989	9	6	,	,	PUNCT
ajbmeb-989	9	7	cancer	cancer	NOUN
ajbmeb-989	9	8	,	,	PUNCT
ajbmeb-989	9	9	factors	factor	NOUN
ajbmeb-989	9	10	,	,	PUNCT
ajbmeb-989	9	11	leukemia	leukemia	NOUN
ajbmeb-989	9	12	,	,	PUNCT
ajbmeb-989	9	13	multiple	multiple	ADJ
ajbmeb-989	9	14	logistic	logistic	ADJ
ajbmeb-989	9	15	regression	regression	NOUN
ajbmeb-989	9	16	,	,	PUNCT
ajbmeb-989	9	17	wald	wald	X
ajbmeb-989	9	18	,	,	PUNCT
ajbmeb-989	9	19	mle	mle	PROPN
ajbmeb-989	9	20	.	.	PROPN
ajbmeb-989	9	21	introduction	introduction	NOUN
ajbmeb-989	9	22	:	:	PUNCT
ajbmeb-989	9	23	in	in	ADP
ajbmeb-989	9	24	recent	recent	ADJ
ajbmeb-989	9	25	years	year	NOUN
ajbmeb-989	9	26	,	,	PUNCT
ajbmeb-989	9	27	there	there	PRON
ajbmeb-989	9	28	has	have	AUX
ajbmeb-989	9	29	been	be	AUX
ajbmeb-989	9	30	an	an	DET
ajbmeb-989	9	31	increase	increase	NOUN
ajbmeb-989	9	32	in	in	ADP
ajbmeb-989	9	33	the	the	DET
ajbmeb-989	9	34	use	use	NOUN
ajbmeb-989	9	35	of	of	ADP
ajbmeb-989	9	36	modern	modern	ADJ
ajbmeb-989	9	37	statistical	statistical	ADJ
ajbmeb-989	9	38	methods	method	NOUN
ajbmeb-989	9	39	and	and	CCONJ
ajbmeb-989	9	40	applications	application	NOUN
ajbmeb-989	9	41	for	for	ADP
ajbmeb-989	9	42	analyzing	analyze	VERB
ajbmeb-989	9	43	classified	classified	ADJ
ajbmeb-989	9	44	data	datum	NOUN
ajbmeb-989	9	45	,	,	PUNCT
ajbmeb-989	9	46	particularly	particularly	ADV
ajbmeb-989	9	47	in	in	ADP
ajbmeb-989	9	48	fields	field	NOUN
ajbmeb-989	9	49	such	such	ADJ
ajbmeb-989	9	50	as	as	ADP
ajbmeb-989	9	51	medical	medical	ADJ
ajbmeb-989	9	52	,	,	PUNCT
ajbmeb-989	9	53	agricultural	agricultural	ADJ
ajbmeb-989	9	54	,	,	PUNCT
ajbmeb-989	9	55	and	and	CCONJ
ajbmeb-989	9	56	social	social	ADJ
ajbmeb-989	9	57	research	research	NOUN
ajbmeb-989	9	58	(	(	PUNCT
ajbmeb-989	9	59	alobeidi	alobeidi	PROPN
ajbmeb-989	9	60	,	,	PUNCT
ajbmeb-989	9	61	2013	2013	NUM
ajbmeb-989	9	62	)	)	PUNCT
ajbmeb-989	9	63	.	.	PUNCT
ajbmeb-989	10	1	this	this	DET
ajbmeb-989	10	2	study	study	NOUN
ajbmeb-989	10	3	discusses	discuss	VERB
ajbmeb-989	10	4	the	the	DET
ajbmeb-989	10	5	use	use	NOUN
ajbmeb-989	10	6	of	of	ADP
ajbmeb-989	10	7	two	two	NUM
ajbmeb-989	10	8	different	different	ADJ
ajbmeb-989	10	9	statistical	statistical	ADJ
ajbmeb-989	10	10	methods	method	NOUN
ajbmeb-989	10	11	in	in	ADP
ajbmeb-989	10	12	analysis	analysis	NOUN
ajbmeb-989	10	13	:	:	PUNCT
ajbmeb-989	10	14	artificial	artificial	ADJ
ajbmeb-989	10	15	neural	neural	ADJ
ajbmeb-989	10	16	networks	network	NOUN
ajbmeb-989	10	17	,	,	PUNCT
ajbmeb-989	10	18	which	which	PRON
ajbmeb-989	10	19	are	be	AUX
ajbmeb-989	10	20	an	an	DET
ajbmeb-989	10	21	important	important	ADJ
ajbmeb-989	10	22	product	product	NOUN
ajbmeb-989	10	23	of	of	ADP
ajbmeb-989	10	24	artificial	artificial	ADJ
ajbmeb-989	10	25	intelligence	intelligence	NOUN
ajbmeb-989	10	26	and	and	CCONJ
ajbmeb-989	10	27	simulate	simulate	VERB
ajbmeb-989	10	28	natural	natural	ADJ
ajbmeb-989	10	29	intelligence	intelligence	NOUN
ajbmeb-989	10	30	,	,	PUNCT
ajbmeb-989	10	31	specifically	specifically	ADV
ajbmeb-989	10	32	human	human	ADJ
ajbmeb-989	10	33	intelligence	intelligence	NOUN
ajbmeb-989	10	34	.	.	PUNCT
ajbmeb-989	11	1	these	these	DET
ajbmeb-989	11	2	two	two	NUM
ajbmeb-989	11	3	methods	method	NOUN
ajbmeb-989	11	4	are	be	AUX
ajbmeb-989	11	5	known	know	VERB
ajbmeb-989	11	6	for	for	ADP
ajbmeb-989	11	7	their	their	PRON
ajbmeb-989	11	8	ability	ability	NOUN
ajbmeb-989	11	9	to	to	PART
ajbmeb-989	11	10	interpret	interpret	VERB
ajbmeb-989	11	11	incomplete	incomplete	ADJ
ajbmeb-989	11	12	or	or	CCONJ
ajbmeb-989	11	13	noisy	noisy	ADJ
ajbmeb-989	11	14	data	datum	NOUN
ajbmeb-989	11	15	,	,	PUNCT
ajbmeb-989	11	16	handle	handle	VERB
ajbmeb-989	11	17	new	new	ADJ
ajbmeb-989	11	18	types	type	NOUN
ajbmeb-989	11	19	of	of	ADP
ajbmeb-989	11	20	problems	problem	NOUN
ajbmeb-989	11	21	,	,	PUNCT
ajbmeb-989	11	22	process	process	NOUN
ajbmeb-989	11	23	data	datum	NOUN
ajbmeb-989	11	24	in	in	ADP
ajbmeb-989	11	25	parallel	parallel	NOUN
ajbmeb-989	11	26	,	,	PUNCT
ajbmeb-989	11	27	and	and	CCONJ
ajbmeb-989	11	28	high	high	ADJ
ajbmeb-989	11	29	flexibility	flexibility	NOUN
ajbmeb-989	11	30	compared	compare	VERB
ajbmeb-989	11	31	to	to	ADP
ajbmeb-989	11	32	traditional	traditional	ADJ
ajbmeb-989	11	33	mathematical	mathematical	ADJ
ajbmeb-989	11	34	methods	method	NOUN
ajbmeb-989	11	35	.	.	PUNCT
ajbmeb-989	12	1	additionally	additionally	ADV
ajbmeb-989	12	2	,	,	PUNCT
ajbmeb-989	12	3	neural	neural	ADJ
ajbmeb-989	12	4	networks	network	NOUN
ajbmeb-989	12	5	have	have	AUX
ajbmeb-989	12	6	surpassed	surpass	VERB
ajbmeb-989	12	7	the	the	DET
ajbmeb-989	12	8	limitations	limitation	NOUN
ajbmeb-989	12	9	of	of	ADP
ajbmeb-989	12	10	traditional	traditional	ADJ
ajbmeb-989	12	11	solutions	solution	NOUN
ajbmeb-989	12	12	because	because	SCONJ
ajbmeb-989	12	13	all	all	DET
ajbmeb-989	12	14	cells	cell	NOUN
ajbmeb-989	12	15	within	within	ADP
ajbmeb-989	12	16	the	the	DET
ajbmeb-989	12	17	network	network	NOUN
ajbmeb-989	12	18	process	process	NOUN
ajbmeb-989	12	19	a	a	DET
ajbmeb-989	12	20	huge	huge	ADJ
ajbmeb-989	12	21	amount	amount	NOUN
ajbmeb-989	12	22	of	of	ADP
ajbmeb-989	12	23	data	datum	NOUN
ajbmeb-989	12	24	quickly	quickly	ADV
ajbmeb-989	12	25	at	at	ADP
ajbmeb-989	12	26	the	the	DET
ajbmeb-989	12	27	same	same	ADJ
ajbmeb-989	12	28	time	time	NOUN
ajbmeb-989	12	29	(	(	PUNCT
ajbmeb-989	12	30	davalo	davalo	NOUN
ajbmeb-989	12	31	&	&	CCONJ
ajbmeb-989	12	32	naim	naim	PROPN
ajbmeb-989	12	33	,	,	PUNCT
ajbmeb-989	12	34	1991	1991	NUM
ajbmeb-989	12	35	)	)	PUNCT
ajbmeb-989	12	36	.	.	PUNCT
ajbmeb-989	13	1	logistic	logistic	ADJ
ajbmeb-989	13	2	regression	regression	NOUN
ajbmeb-989	13	3	analysis	analysis	NOUN
ajbmeb-989	13	4	(	(	PUNCT
ajbmeb-989	13	5	lra	lra	NOUN
ajbmeb-989	13	6	)	)	PUNCT
ajbmeb-989	13	7	,	,	PUNCT
ajbmeb-989	13	8	the	the	DET
ajbmeb-989	13	9	second	second	ADJ
ajbmeb-989	13	10	method	method	NOUN
ajbmeb-989	13	11	,	,	PUNCT
ajbmeb-989	13	12	is	be	AUX
ajbmeb-989	13	13	an	an	DET
ajbmeb-989	13	14	important	important	ADJ
ajbmeb-989	13	15	statistical	statistical	ADJ
ajbmeb-989	13	16	method	method	NOUN
ajbmeb-989	13	17	that	that	PRON
ajbmeb-989	13	18	deals	deal	VERB
ajbmeb-989	13	19	with	with	ADP
ajbmeb-989	13	20	analyzing	analyze	VERB
ajbmeb-989	13	21	classified	classified	ADJ
ajbmeb-989	13	22	data	datum	NOUN
ajbmeb-989	13	23	,	,	PUNCT
ajbmeb-989	13	24	especially	especially	ADV
ajbmeb-989	13	25	in	in	ADP
ajbmeb-989	13	26	cases	case	NOUN
ajbmeb-989	13	27	american	american	ADJ
ajbmeb-989	13	28	journal	journal	PROPN
ajbmeb-989	13	29	of	of	ADP
ajbmeb-989	13	30	business	business	NOUN
ajbmeb-989	13	31	management	management	NOUN
ajbmeb-989	13	32	,	,	PUNCT
ajbmeb-989	13	33	economics	economic	NOUN
ajbmeb-989	13	34	and	and	CCONJ
ajbmeb-989	13	35	banking	banking	NOUN
ajbmeb-989	13	36	volume	volume	NOUN
ajbmeb-989	13	37	13	13	NUM
ajbmeb-989	13	38	june	june	PROPN
ajbmeb-989	13	39	,	,	PUNCT
ajbmeb-989	13	40	2023	2023	NUM
ajbmeb-989	13	41	p	p	NOUN
ajbmeb-989	13	42	a	a	DET
ajbmeb-989	13	43	g	g	NOUN
ajbmeb-989	13	44	e	e	NOUN
ajbmeb-989	14	1	|	|	NOUN
ajbmeb-989	14	2	75	75	NUM
ajbmeb-989	14	3	www.americanjournal.org	www.americanjournal.org	NOUN
ajbmeb-989	14	4	where	where	SCONJ
ajbmeb-989	14	5	the	the	DET
ajbmeb-989	14	6	response	response	NOUN
ajbmeb-989	14	7	variable	variable	NOUN
ajbmeb-989	14	8	is	be	AUX
ajbmeb-989	14	9	nominal	nominal	ADJ
ajbmeb-989	14	10	or	or	CCONJ
ajbmeb-989	14	11	ordinal	ordinal	ADJ
ajbmeb-989	14	12	and	and	CCONJ
ajbmeb-989	14	13	consists	consist	VERB
ajbmeb-989	14	14	of	of	ADP
ajbmeb-989	14	15	two	two	NUM
ajbmeb-989	14	16	levels	level	NOUN
ajbmeb-989	14	17	(	(	PUNCT
ajbmeb-989	14	18	two	two	NUM
ajbmeb-989	14	19	classifications	classification	NOUN
ajbmeb-989	14	20	)	)	PUNCT
ajbmeb-989	14	21	or	or	CCONJ
ajbmeb-989	14	22	more	more	ADJ
ajbmeb-989	14	23	(	(	PUNCT
ajbmeb-989	14	24	al	al	PROPN
ajbmeb-989	14	25	-	-	NOUN
ajbmeb-989	14	26	afifi	afifi	PROPN
ajbmeb-989	14	27	,	,	PUNCT
ajbmeb-989	14	28	2010	2010	NUM
ajbmeb-989	14	29	;	;	PUNCT
ajbmeb-989	14	30	maiprasert	maiprasert	NOUN
ajbmeb-989	14	31	&	&	CCONJ
ajbmeb-989	14	32	kitbumrungrat	kitbumrungrat	PROPN
ajbmeb-989	14	33	,	,	PUNCT
ajbmeb-989	14	34	2012	2012	NUM
ajbmeb-989	14	35	)	)	PUNCT
ajbmeb-989	14	36	.	.	PUNCT
ajbmeb-989	15	1	the	the	DET
ajbmeb-989	15	2	analysis	analysis	NOUN
ajbmeb-989	15	3	using	use	VERB
ajbmeb-989	15	4	logistic	logistic	ADJ
ajbmeb-989	15	5	regression	regression	NOUN
ajbmeb-989	15	6	does	do	AUX
ajbmeb-989	15	7	not	not	PART
ajbmeb-989	15	8	assume	assume	VERB
ajbmeb-989	15	9	any	any	DET
ajbmeb-989	15	10	conditions	condition	NOUN
ajbmeb-989	15	11	regarding	regard	VERB
ajbmeb-989	15	12	the	the	DET
ajbmeb-989	15	13	distribution	distribution	NOUN
ajbmeb-989	15	14	of	of	ADP
ajbmeb-989	15	15	explanatory	explanatory	ADJ
ajbmeb-989	15	16	variables	variable	NOUN
ajbmeb-989	15	17	,	,	PUNCT
ajbmeb-989	15	18	making	make	VERB
ajbmeb-989	15	19	it	it	PRON
ajbmeb-989	15	20	relatively	relatively	ADV
ajbmeb-989	15	21	better	well	ADV
ajbmeb-989	15	22	and	and	CCONJ
ajbmeb-989	15	23	more	more	ADV
ajbmeb-989	15	24	robust	robust	ADJ
ajbmeb-989	15	25	than	than	ADP
ajbmeb-989	15	26	many	many	ADJ
ajbmeb-989	15	27	other	other	ADJ
ajbmeb-989	15	28	methods	method	NOUN
ajbmeb-989	15	29	.	.	PUNCT
ajbmeb-989	16	1	it	it	PRON
ajbmeb-989	16	2	is	be	AUX
ajbmeb-989	16	3	characterized	characterize	VERB
ajbmeb-989	16	4	by	by	ADP
ajbmeb-989	16	5	flexibility	flexibility	NOUN
ajbmeb-989	16	6	and	and	CCONJ
ajbmeb-989	16	7	simplicity	simplicity	NOUN
ajbmeb-989	16	8	,	,	PUNCT
ajbmeb-989	16	9	as	as	ADV
ajbmeb-989	16	10	well	well	ADV
ajbmeb-989	16	11	as	as	ADP
ajbmeb-989	16	12	giving	give	VERB
ajbmeb-989	16	13	a	a	DET
ajbmeb-989	16	14	clear	clear	ADJ
ajbmeb-989	16	15	and	and	CCONJ
ajbmeb-989	16	16	meaningful	meaningful	ADJ
ajbmeb-989	16	17	interpretation	interpretation	NOUN
ajbmeb-989	16	18	and	and	CCONJ
ajbmeb-989	16	19	implications	implication	NOUN
ajbmeb-989	16	20	for	for	ADP
ajbmeb-989	16	21	describing	describe	VERB
ajbmeb-989	16	22	the	the	DET
ajbmeb-989	16	23	relationship	relationship	NOUN
ajbmeb-989	16	24	between	between	ADP
ajbmeb-989	16	25	the	the	DET
ajbmeb-989	16	26	response	response	NOUN
ajbmeb-989	16	27	variable	variable	ADJ
ajbmeb-989	16	28	and	and	CCONJ
ajbmeb-989	16	29	explanatory	explanatory	ADJ
ajbmeb-989	16	30	variables	variable	NOUN
ajbmeb-989	16	31	.	.	PUNCT
ajbmeb-989	17	1	research	research	NOUN
ajbmeb-989	17	2	objective	objective	NOUN
ajbmeb-989	17	3	the	the	DET
ajbmeb-989	17	4	current	current	ADJ
ajbmeb-989	17	5	research	research	NOUN
ajbmeb-989	17	6	aims	aim	VERB
ajbmeb-989	17	7	is	be	AUX
ajbmeb-989	17	8	to	to	PART
ajbmeb-989	17	9	study	study	VERB
ajbmeb-989	17	10	some	some	DET
ajbmeb-989	17	11	factors	factor	NOUN
ajbmeb-989	17	12	which	which	PRON
ajbmeb-989	17	13	lead	lead	VERB
ajbmeb-989	17	14	to	to	ADP
ajbmeb-989	17	15	leukemia	leukemia	NOUN
ajbmeb-989	17	16	using	use	VERB
ajbmeb-989	17	17	a	a	DET
ajbmeb-989	17	18	multiple	multiple	ADJ
ajbmeb-989	17	19	logistic	logistic	ADJ
ajbmeb-989	17	20	regression	regression	NOUN
ajbmeb-989	17	21	(	(	PUNCT
ajbmeb-989	17	22	mlr	mlr	NOUN
ajbmeb-989	17	23	)	)	PUNCT
ajbmeb-989	17	24	model	model	NOUN
ajbmeb-989	17	25	and	and	CCONJ
ajbmeb-989	17	26	an	an	DET
ajbmeb-989	17	27	intelligent	intelligent	ADJ
ajbmeb-989	17	28	method	method	NOUN
ajbmeb-989	17	29	represented	represent	VERB
ajbmeb-989	17	30	by	by	ADP
ajbmeb-989	17	31	artificial	artificial	ADJ
ajbmeb-989	17	32	neural	neural	ADJ
ajbmeb-989	17	33	networks	network	NOUN
ajbmeb-989	17	34	(	(	PUNCT
ajbmeb-989	17	35	ann	ann	PROPN
ajbmeb-989	17	36	)	)	PUNCT
ajbmeb-989	17	37	,	,	PUNCT
ajbmeb-989	17	38	and	and	CCONJ
ajbmeb-989	17	39	to	to	PART
ajbmeb-989	17	40	compare	compare	VERB
ajbmeb-989	17	41	between	between	ADP
ajbmeb-989	17	42	them	they	PRON
ajbmeb-989	17	43	.	.	PUNCT
ajbmeb-989	18	1	research	research	NOUN
ajbmeb-989	18	2	problem	problem	NOUN
ajbmeb-989	18	3	regression	regression	NOUN
ajbmeb-989	18	4	models	model	NOUN
ajbmeb-989	18	5	in	in	ADP
ajbmeb-989	18	6	general	general	ADJ
ajbmeb-989	18	7	,	,	PUNCT
ajbmeb-989	18	8	and	and	CCONJ
ajbmeb-989	18	9	binary	binary	NOUN
ajbmeb-989	18	10	and	and	CCONJ
ajbmeb-989	18	11	multiple	multiple	ADJ
ajbmeb-989	18	12	response	response	NOUN
ajbmeb-989	18	13	logistic	logistic	ADJ
ajbmeb-989	18	14	regression	regression	NOUN
ajbmeb-989	18	15	models	model	NOUN
ajbmeb-989	18	16	in	in	ADP
ajbmeb-989	18	17	particular	particular	ADJ
ajbmeb-989	18	18	,	,	PUNCT
ajbmeb-989	18	19	are	be	AUX
ajbmeb-989	18	20	characterized	characterize	VERB
ajbmeb-989	18	21	by	by	ADP
ajbmeb-989	18	22	their	their	PRON
ajbmeb-989	18	23	high	high	ADJ
ajbmeb-989	18	24	ability	ability	NOUN
ajbmeb-989	18	25	to	to	PART
ajbmeb-989	18	26	model	model	VERB
ajbmeb-989	18	27	causal	causal	ADJ
ajbmeb-989	18	28	relationships	relationship	NOUN
ajbmeb-989	18	29	between	between	ADP
ajbmeb-989	18	30	explanatory	explanatory	ADJ
ajbmeb-989	18	31	variables	variable	NOUN
ajbmeb-989	18	32	on	on	ADP
ajbmeb-989	18	33	the	the	DET
ajbmeb-989	18	34	one	one	NUM
ajbmeb-989	18	35	hand	hand	NOUN
ajbmeb-989	18	36	and	and	CCONJ
ajbmeb-989	18	37	the	the	DET
ajbmeb-989	18	38	dependent	dependent	ADJ
ajbmeb-989	18	39	variable	variable	NOUN
ajbmeb-989	18	40	on	on	ADP
ajbmeb-989	18	41	the	the	DET
ajbmeb-989	18	42	other	other	ADJ
ajbmeb-989	18	43	hand	hand	NOUN
ajbmeb-989	18	44	.	.	PUNCT
ajbmeb-989	19	1	however	however	ADV
ajbmeb-989	19	2	,	,	PUNCT
ajbmeb-989	19	3	they	they	PRON
ajbmeb-989	19	4	suffer	suffer	VERB
ajbmeb-989	19	5	from	from	ADP
ajbmeb-989	19	6	some	some	DET
ajbmeb-989	19	7	assumptions	assumption	NOUN
ajbmeb-989	19	8	that	that	SCONJ
ajbmeb-989	19	9	,	,	PUNCT
ajbmeb-989	19	10	if	if	SCONJ
ajbmeb-989	19	11	not	not	PART
ajbmeb-989	19	12	met	meet	VERB
ajbmeb-989	19	13	,	,	PUNCT
ajbmeb-989	19	14	will	will	AUX
ajbmeb-989	19	15	lead	lead	VERB
ajbmeb-989	19	16	to	to	ADP
ajbmeb-989	19	17	misleading	mislead	VERB
ajbmeb-989	19	18	results	result	NOUN
ajbmeb-989	19	19	.	.	PUNCT
ajbmeb-989	20	1	therefore	therefore	ADV
ajbmeb-989	20	2	,	,	PUNCT
ajbmeb-989	20	3	more	more	ADV
ajbmeb-989	20	4	flexible	flexible	ADJ
ajbmeb-989	20	5	methods	method	NOUN
ajbmeb-989	20	6	with	with	ADP
ajbmeb-989	20	7	fewer	few	ADJ
ajbmeb-989	20	8	assumptions	assumption	NOUN
ajbmeb-989	20	9	compared	compare	VERB
ajbmeb-989	20	10	to	to	ADP
ajbmeb-989	20	11	traditional	traditional	ADJ
ajbmeb-989	20	12	regression	regression	NOUN
ajbmeb-989	20	13	models	model	NOUN
ajbmeb-989	20	14	are	be	AUX
ajbmeb-989	20	15	used	use	VERB
ajbmeb-989	20	16	to	to	PART
ajbmeb-989	20	17	avoid	avoid	VERB
ajbmeb-989	20	18	such	such	ADJ
ajbmeb-989	20	19	problems	problem	NOUN
ajbmeb-989	20	20	.	.	PUNCT
ajbmeb-989	21	1	literature	literature	NOUN
ajbmeb-989	21	2	review	review	VERB
ajbmeb-989	21	3	artificial	artificial	ADJ
ajbmeb-989	21	4	neural	neural	ADJ
ajbmeb-989	21	5	networks	network	NOUN
ajbmeb-989	21	6	(	(	PUNCT
ajbmeb-989	21	7	ann	ann	PROPN
ajbmeb-989	21	8	)	)	PUNCT
ajbmeb-989	21	9	the	the	DET
ajbmeb-989	21	10	relationship	relationship	NOUN
ajbmeb-989	21	11	between	between	ADP
ajbmeb-989	21	12	statistics	statistic	NOUN
ajbmeb-989	21	13	and	and	CCONJ
ajbmeb-989	21	14	ann	ann	PROPN
ajbmeb-989	21	15	has	have	AUX
ajbmeb-989	21	16	received	receive	VERB
ajbmeb-989	21	17	significant	significant	ADJ
ajbmeb-989	21	18	and	and	CCONJ
ajbmeb-989	21	19	increasing	increase	VERB
ajbmeb-989	21	20	attention	attention	NOUN
ajbmeb-989	21	21	from	from	ADP
ajbmeb-989	21	22	researchers	researcher	NOUN
ajbmeb-989	21	23	and	and	CCONJ
ajbmeb-989	21	24	practitioners	practitioner	NOUN
ajbmeb-989	21	25	in	in	ADP
ajbmeb-989	21	26	both	both	DET
ajbmeb-989	21	27	fields	field	NOUN
ajbmeb-989	21	28	in	in	ADP
ajbmeb-989	21	29	recent	recent	ADJ
ajbmeb-989	21	30	years	year	NOUN
ajbmeb-989	21	31	.	.	PUNCT
ajbmeb-989	22	1	many	many	ADJ
ajbmeb-989	22	2	ideas	idea	NOUN
ajbmeb-989	22	3	related	relate	VERB
ajbmeb-989	22	4	to	to	ADP
ajbmeb-989	22	5	ann	ann	PROPN
ajbmeb-989	22	6	are	be	AUX
ajbmeb-989	22	7	based	base	VERB
ajbmeb-989	22	8	on	on	ADP
ajbmeb-989	22	9	the	the	DET
ajbmeb-989	22	10	fundamentals	fundamental	NOUN
ajbmeb-989	22	11	of	of	ADP
ajbmeb-989	22	12	statistics	statistic	NOUN
ajbmeb-989	22	13	,	,	PUNCT
ajbmeb-989	22	14	and	and	CCONJ
ajbmeb-989	22	15	many	many	ADJ
ajbmeb-989	22	16	statistical	statistical	ADJ
ajbmeb-989	22	17	methods	method	NOUN
ajbmeb-989	22	18	and	and	CCONJ
ajbmeb-989	22	19	techniques	technique	NOUN
ajbmeb-989	22	20	can	can	AUX
ajbmeb-989	22	21	be	be	AUX
ajbmeb-989	22	22	programmed	program	VERB
ajbmeb-989	22	23	using	use	VERB
ajbmeb-989	22	24	neural	neural	ADJ
ajbmeb-989	22	25	networks	network	NOUN
ajbmeb-989	22	26	and	and	CCONJ
ajbmeb-989	22	27	building	build	VERB
ajbmeb-989	22	28	algorithms	algorithm	NOUN
ajbmeb-989	22	29	for	for	ADP
ajbmeb-989	22	30	them	they	PRON
ajbmeb-989	22	31	.	.	PUNCT
ajbmeb-989	23	1	the	the	DET
ajbmeb-989	23	2	reason	reason	NOUN
ajbmeb-989	23	3	for	for	ADP
ajbmeb-989	23	4	this	this	PRON
ajbmeb-989	23	5	is	be	AUX
ajbmeb-989	23	6	due	due	ADJ
ajbmeb-989	23	7	to	to	ADP
ajbmeb-989	23	8	the	the	DET
ajbmeb-989	23	9	great	great	ADJ
ajbmeb-989	23	10	similarity	similarity	NOUN
ajbmeb-989	23	11	and	and	CCONJ
ajbmeb-989	23	12	congruence	congruence	NOUN
ajbmeb-989	23	13	between	between	ADP
ajbmeb-989	23	14	the	the	DET
ajbmeb-989	23	15	methods	method	NOUN
ajbmeb-989	23	16	used	use	VERB
ajbmeb-989	23	17	in	in	ADP
ajbmeb-989	23	18	both	both	DET
ajbmeb-989	23	19	fields	field	NOUN
ajbmeb-989	23	20	(	(	PUNCT
ajbmeb-989	23	21	jarrah	jarrah	NOUN
ajbmeb-989	23	22	,	,	PUNCT
ajbmeb-989	23	23	2003	2003	NUM
ajbmeb-989	23	24	)	)	PUNCT
ajbmeb-989	23	25	.	.	PUNCT
ajbmeb-989	24	1	the	the	DET
ajbmeb-989	24	2	general	general	ADJ
ajbmeb-989	24	3	principle	principle	NOUN
ajbmeb-989	24	4	of	of	ADP
ajbmeb-989	24	5	building	build	VERB
ajbmeb-989	24	6	ann	ann	PROPN
ajbmeb-989	24	7	is	be	AUX
ajbmeb-989	24	8	to	to	PART
ajbmeb-989	24	9	develop	develop	VERB
ajbmeb-989	24	10	a	a	DET
ajbmeb-989	24	11	system	system	NOUN
ajbmeb-989	24	12	for	for	ADP
ajbmeb-989	24	13	information	information	NOUN
ajbmeb-989	24	14	processing	processing	NOUN
ajbmeb-989	24	15	to	to	PART
ajbmeb-989	24	16	reach	reach	VERB
ajbmeb-989	24	17	the	the	DET
ajbmeb-989	24	18	closest	close	ADJ
ajbmeb-989	24	19	point	point	NOUN
ajbmeb-989	24	20	to	to	ADP
ajbmeb-989	24	21	human	human	ADJ
ajbmeb-989	24	22	efficiency	efficiency	NOUN
ajbmeb-989	24	23	(	(	PUNCT
ajbmeb-989	24	24	omar	omar	PROPN
ajbmeb-989	24	25	,	,	PUNCT
ajbmeb-989	24	26	1999	1999	NUM
ajbmeb-989	24	27	)	)	PUNCT
ajbmeb-989	24	28	.	.	PUNCT
ajbmeb-989	25	1	therefore	therefore	ADV
ajbmeb-989	25	2	,	,	PUNCT
ajbmeb-989	25	3	an	an	DET
ajbmeb-989	25	4	ann	ann	PROPN
ajbmeb-989	25	5	is	be	AUX
ajbmeb-989	25	6	a	a	DET
ajbmeb-989	25	7	computer	computer	NOUN
ajbmeb-989	25	8	system	system	NOUN
ajbmeb-989	25	9	for	for	ADP
ajbmeb-989	25	10	information	information	NOUN
ajbmeb-989	25	11	processing	processing	NOUN
ajbmeb-989	25	12	,	,	PUNCT
ajbmeb-989	25	13	consisting	consist	VERB
ajbmeb-989	25	14	of	of	ADP
ajbmeb-989	25	15	a	a	DET
ajbmeb-989	25	16	very	very	ADV
ajbmeb-989	25	17	large	large	ADJ
ajbmeb-989	25	18	number	number	NOUN
ajbmeb-989	25	19	of	of	ADP
ajbmeb-989	25	20	interconnected	interconnected	ADJ
ajbmeb-989	25	21	processing	processing	NOUN
ajbmeb-989	25	22	elements	element	NOUN
ajbmeb-989	25	23	with	with	ADP
ajbmeb-989	25	24	a	a	DET
ajbmeb-989	25	25	dynamic	dynamic	ADJ
ajbmeb-989	25	26	nature	nature	NOUN
ajbmeb-989	25	27	.	.	PUNCT
ajbmeb-989	26	1	its	its	PRON
ajbmeb-989	26	2	main	main	ADJ
ajbmeb-989	26	3	function	function	NOUN
ajbmeb-989	26	4	is	be	AUX
ajbmeb-989	26	5	the	the	DET
ajbmeb-989	26	6	parallel	parallel	ADJ
ajbmeb-989	26	7	division	division	NOUN
ajbmeb-989	26	8	of	of	ADP
ajbmeb-989	26	9	network	network	NOUN
ajbmeb-989	26	10	calculations	calculation	NOUN
ajbmeb-989	26	11	.	.	PUNCT
ajbmeb-989	27	1	the	the	DET
ajbmeb-989	27	2	neural	neural	ADJ
ajbmeb-989	27	3	network	network	NOUN
ajbmeb-989	27	4	consists	consist	VERB
ajbmeb-989	27	5	of	of	ADP
ajbmeb-989	27	6	a	a	DET
ajbmeb-989	27	7	number	number	NOUN
ajbmeb-989	27	8	of	of	ADP
ajbmeb-989	27	9	interconnected	interconnected	ADJ
ajbmeb-989	27	10	and	and	CCONJ
ajbmeb-989	27	11	homogeneous	homogeneous	ADJ
ajbmeb-989	27	12	processing	processing	NOUN
ajbmeb-989	27	13	units	unit	NOUN
ajbmeb-989	27	14	,	,	PUNCT
ajbmeb-989	27	15	each	each	PRON
ajbmeb-989	27	16	of	of	ADP
ajbmeb-989	27	17	which	which	PRON
ajbmeb-989	27	18	is	be	AUX
ajbmeb-989	27	19	a	a	DET
ajbmeb-989	27	20	computational	computational	ADJ
ajbmeb-989	27	21	tool	tool	NOUN
ajbmeb-989	27	22	that	that	PRON
ajbmeb-989	27	23	can	can	AUX
ajbmeb-989	27	24	model	model	VERB
ajbmeb-989	27	25	its	its	PRON
ajbmeb-989	27	26	behavior	behavior	NOUN
ajbmeb-989	27	27	with	with	ADP
ajbmeb-989	27	28	simple	simple	ADJ
ajbmeb-989	27	29	mathematical	mathematical	ADJ
ajbmeb-989	27	30	equations	equation	NOUN
ajbmeb-989	27	31	(	(	PUNCT
ajbmeb-989	27	32	rao	rao	NOUN
ajbmeb-989	27	33	&	&	CCONJ
ajbmeb-989	27	34	raao	raao	PROPN
ajbmeb-989	27	35	,	,	PUNCT
ajbmeb-989	27	36	1993	1993	NUM
ajbmeb-989	27	37	)	)	PUNCT
ajbmeb-989	27	38	.	.	PUNCT
ajbmeb-989	28	1	neural	neural	ADJ
ajbmeb-989	28	2	networks	network	NOUN
ajbmeb-989	28	3	are	be	AUX
ajbmeb-989	28	4	named	name	VERB
ajbmeb-989	28	5	after	after	ADP
ajbmeb-989	28	6	their	their	PRON
ajbmeb-989	28	7	resemblance	resemblance	NOUN
ajbmeb-989	28	8	to	to	ADP
ajbmeb-989	28	9	the	the	DET
ajbmeb-989	28	10	internal	internal	ADJ
ajbmeb-989	28	11	communication	communication	NOUN
ajbmeb-989	28	12	systems	system	NOUN
ajbmeb-989	28	13	of	of	ADP
ajbmeb-989	28	14	biological	biological	ADJ
ajbmeb-989	28	15	neurons	neuron	NOUN
ajbmeb-989	28	16	,	,	PUNCT
ajbmeb-989	28	17	as	as	SCONJ
ajbmeb-989	28	18	these	these	DET
ajbmeb-989	28	19	units	unit	NOUN
ajbmeb-989	28	20	are	be	AUX
ajbmeb-989	28	21	inspired	inspire	VERB
ajbmeb-989	28	22	by	by	ADP
ajbmeb-989	28	23	the	the	DET
ajbmeb-989	28	24	study	study	NOUN
ajbmeb-989	28	25	of	of	ADP
ajbmeb-989	28	26	biological	biological	ADJ
ajbmeb-989	28	27	neural	neural	ADJ
ajbmeb-989	28	28	systems	system	NOUN
ajbmeb-989	28	29	,	,	PUNCT
ajbmeb-989	28	30	figure	figure	NOUN
ajbmeb-989	28	31	1	1	NUM
ajbmeb-989	28	32	(	(	PUNCT
ajbmeb-989	28	33	newbold	newbold	PROPN
ajbmeb-989	28	34	,	,	PUNCT
ajbmeb-989	28	35	1974	1974	NUM
ajbmeb-989	28	36	)	)	PUNCT
ajbmeb-989	28	37	.	.	PUNCT
ajbmeb-989	29	1	figure	figure	NOUN
ajbmeb-989	29	2	1	1	NUM
ajbmeb-989	29	3	.	.	PUNCT
ajbmeb-989	30	1	system	system	NOUN
ajbmeb-989	30	2	of	of	ADP
ajbmeb-989	30	3	artificial	artificial	ADJ
ajbmeb-989	30	4	neural	neural	ADJ
ajbmeb-989	30	5	networks	network	NOUN
ajbmeb-989	30	6	american	american	PROPN
ajbmeb-989	30	7	journal	journal	PROPN
ajbmeb-989	30	8	of	of	ADP
ajbmeb-989	30	9	business	business	NOUN
ajbmeb-989	30	10	management	management	NOUN
ajbmeb-989	30	11	,	,	PUNCT
ajbmeb-989	30	12	economics	economic	NOUN
ajbmeb-989	30	13	and	and	CCONJ
ajbmeb-989	30	14	banking	banking	NOUN
ajbmeb-989	30	15	volume	volume	NOUN
ajbmeb-989	30	16	13	13	NUM
ajbmeb-989	30	17	june	june	PROPN
ajbmeb-989	30	18	,	,	PUNCT
ajbmeb-989	30	19	2023	2023	NUM
ajbmeb-989	30	20	p	p	NOUN
ajbmeb-989	30	21	a	a	DET
ajbmeb-989	30	22	g	g	NOUN
ajbmeb-989	30	23	e	e	NOUN
ajbmeb-989	31	1	|	|	ADV
ajbmeb-989	31	2	76	76	NUM
ajbmeb-989	31	3	www.americanjournal.org	www.americanjournal.org	PROPN
ajbmeb-989	31	4	1components	1components	NUM
ajbmeb-989	31	5	of	of	ADP
ajbmeb-989	31	6	an	an	DET
ajbmeb-989	31	7	artificial	artificial	ADJ
ajbmeb-989	31	8	neuron	neuron	NOUN
ajbmeb-989	31	9	zurada	zurada	X
ajbmeb-989	31	10	(	(	PUNCT
ajbmeb-989	31	11	1997	1997	NUM
ajbmeb-989	31	12	)	)	PUNCT
ajbmeb-989	31	13	listed	list	VERB
ajbmeb-989	31	14	the	the	DET
ajbmeb-989	31	15	following	follow	VERB
ajbmeb-989	31	16	components	component	NOUN
ajbmeb-989	31	17	:	:	PUNCT
ajbmeb-989	31	18	1	1	X
ajbmeb-989	31	19	.	.	PUNCT
ajbmeb-989	31	20	synapses	synapsis	NOUN
ajbmeb-989	31	21	:	:	PUNCT
ajbmeb-989	31	22	the	the	DET
ajbmeb-989	31	23	neuron	neuron	NOUN
ajbmeb-989	31	24	receives	receive	VERB
ajbmeb-989	31	25	input	input	NOUN
ajbmeb-989	31	26	signals	signal	NOUN
ajbmeb-989	31	27	from	from	ADP
ajbmeb-989	31	28	other	other	ADJ
ajbmeb-989	31	29	connected	connected	ADJ
ajbmeb-989	31	30	cells	cell	NOUN
ajbmeb-989	31	31	through	through	ADP
ajbmeb-989	31	32	input	input	NOUN
ajbmeb-989	31	33	channels	channel	NOUN
ajbmeb-989	31	34	,	,	PUNCT
ajbmeb-989	31	35	and	and	CCONJ
ajbmeb-989	31	36	these	these	DET
ajbmeb-989	31	37	incoming	incoming	ADJ
ajbmeb-989	31	38	signals	signal	NOUN
ajbmeb-989	31	39	are	be	AUX
ajbmeb-989	31	40	called	call	VERB
ajbmeb-989	31	41	inputs	input	NOUN
ajbmeb-989	31	42	and	and	CCONJ
ajbmeb-989	31	43	are	be	AUX
ajbmeb-989	31	44	denoted	denote	VERB
ajbmeb-989	31	45	by	by	ADP
ajbmeb-989	31	46	(	(	PUNCT
ajbmeb-989	31	47	xi	xi	PROPN
ajbmeb-989	31	48	,	,	PUNCT
ajbmeb-989	31	49	i	i	NOUN
ajbmeb-989	31	50	=	=	NOUN
ajbmeb-989	31	51	1	1	NUM
ajbmeb-989	31	52	,	,	PUNCT
ajbmeb-989	31	53	2	2	NUM
ajbmeb-989	31	54	,	,	PUNCT
ajbmeb-989	31	55	3	3	NUM
ajbmeb-989	31	56	,	,	PUNCT
ajbmeb-989	31	57	4	4	NUM
ajbmeb-989	31	58	,	,	PUNCT
ajbmeb-989	31	59	...	...	PUNCT
ajbmeb-989	31	60	,	,	PUNCT
ajbmeb-989	31	61	n	n	CCONJ
ajbmeb-989	31	62	)	)	PUNCT
ajbmeb-989	31	63	.	.	PUNCT
ajbmeb-989	32	1	2	2	X
ajbmeb-989	32	2	.	.	X
ajbmeb-989	32	3	summation	summation	NOUN
ajbmeb-989	32	4	function	function	NOUN
ajbmeb-989	32	5	:	:	PUNCT
ajbmeb-989	32	6	the	the	DET
ajbmeb-989	32	7	function	function	NOUN
ajbmeb-989	32	8	of	of	ADP
ajbmeb-989	32	9	this	this	DET
ajbmeb-989	32	10	function	function	NOUN
ajbmeb-989	32	11	is	be	AUX
ajbmeb-989	32	12	to	to	PART
ajbmeb-989	32	13	unify	unify	VERB
ajbmeb-989	32	14	the	the	DET
ajbmeb-989	32	15	input	input	NOUN
ajbmeb-989	32	16	signals	signal	NOUN
ajbmeb-989	32	17	into	into	ADP
ajbmeb-989	32	18	one	one	NUM
ajbmeb-989	32	19	signal	signal	NOUN
ajbmeb-989	32	20	.	.	PUNCT
ajbmeb-989	33	1	3	3	X
ajbmeb-989	33	2	.	.	X
ajbmeb-989	33	3	activation	activation	NOUN
ajbmeb-989	33	4	function	function	NOUN
ajbmeb-989	33	5	:	:	PUNCT
ajbmeb-989	33	6	this	this	DET
ajbmeb-989	33	7	function	function	NOUN
ajbmeb-989	33	8	aims	aim	VERB
ajbmeb-989	33	9	to	to	PART
ajbmeb-989	33	10	propagate	propagate	VERB
ajbmeb-989	33	11	the	the	DET
ajbmeb-989	33	12	input	input	NOUN
ajbmeb-989	33	13	value	value	NOUN
ajbmeb-989	33	14	according	accord	VERB
ajbmeb-989	33	15	to	to	ADP
ajbmeb-989	33	16	the	the	DET
ajbmeb-989	33	17	type	type	NOUN
ajbmeb-989	33	18	of	of	ADP
ajbmeb-989	33	19	function	function	NOUN
ajbmeb-989	33	20	used	use	VERB
ajbmeb-989	33	21	according	accord	VERB
ajbmeb-989	33	22	to	to	ADP
ajbmeb-989	33	23	the	the	DET
ajbmeb-989	33	24	scale	scale	NOUN
ajbmeb-989	33	25	of	of	ADP
ajbmeb-989	33	26	the	the	DET
ajbmeb-989	33	27	output	output	NOUN
ajbmeb-989	33	28	value	value	NOUN
ajbmeb-989	33	29	limits	limit	NOUN
ajbmeb-989	33	30	.	.	PUNCT
ajbmeb-989	34	1	4	4	X
ajbmeb-989	34	2	.	.	X
ajbmeb-989	34	3	axon	axon	PROPN
ajbmeb-989	34	4	path	path	PROPN
ajbmeb-989	34	5	's	's	PART
ajbmeb-989	34	6	:	:	PUNCT
ajbmeb-989	34	7	the	the	DET
ajbmeb-989	34	8	function	function	NOUN
ajbmeb-989	34	9	of	of	ADP
ajbmeb-989	34	10	this	this	DET
ajbmeb-989	34	11	channel	channel	NOUN
ajbmeb-989	34	12	is	be	AUX
ajbmeb-989	34	13	to	to	PART
ajbmeb-989	34	14	send	send	VERB
ajbmeb-989	34	15	the	the	DET
ajbmeb-989	34	16	output	output	NOUN
ajbmeb-989	34	17	signal	signal	NOUN
ajbmeb-989	34	18	to	to	ADP
ajbmeb-989	34	19	other	other	ADJ
ajbmeb-989	34	20	neurons	neuron	NOUN
ajbmeb-989	34	21	,	,	PUNCT
ajbmeb-989	34	22	and	and	CCONJ
ajbmeb-989	34	23	it	it	PRON
ajbmeb-989	34	24	is	be	AUX
ajbmeb-989	34	25	considered	consider	VERB
ajbmeb-989	34	26	an	an	DET
ajbmeb-989	34	27	input	input	NOUN
ajbmeb-989	34	28	signal	signal	NOUN
ajbmeb-989	34	29	to	to	ADP
ajbmeb-989	34	30	those	those	DET
ajbmeb-989	34	31	cells	cell	NOUN
ajbmeb-989	34	32	,	,	PUNCT
ajbmeb-989	34	33	and	and	CCONJ
ajbmeb-989	34	34	the	the	DET
ajbmeb-989	34	35	output	output	NOUN
ajbmeb-989	34	36	signal	signal	NOUN
ajbmeb-989	34	37	is	be	AUX
ajbmeb-989	34	38	called	call	VERB
ajbmeb-989	34	39	outputs	output	NOUN
ajbmeb-989	34	40	.	.	PUNCT
ajbmeb-989	35	1	1	1	NUM
ajbmeb-989	35	2	.	.	SYM
ajbmeb-989	35	3	2	2	NUM
ajbmeb-989	35	4	types	type	NOUN
ajbmeb-989	35	5	of	of	ADP
ajbmeb-989	35	6	artificial	artificial	ADJ
ajbmeb-989	35	7	neural	neural	ADJ
ajbmeb-989	35	8	networks	network	NOUN
ajbmeb-989	35	9	1	1	NUM
ajbmeb-989	35	10	-	-	SYM
ajbmeb-989	35	11	2	2	NUM
ajbmeb-989	35	12	-	-	SYM
ajbmeb-989	35	13	1	1	NUM
ajbmeb-989	35	14	feedforward	feedforward	NOUN
ajbmeb-989	35	15	neural	neural	ADJ
ajbmeb-989	35	16	networks	network	NOUN
ajbmeb-989	35	17	these	these	DET
ajbmeb-989	35	18	networks	network	NOUN
ajbmeb-989	35	19	allow	allow	VERB
ajbmeb-989	35	20	information	information	NOUN
ajbmeb-989	35	21	to	to	PART
ajbmeb-989	35	22	flow	flow	VERB
ajbmeb-989	35	23	in	in	ADP
ajbmeb-989	35	24	only	only	ADV
ajbmeb-989	35	25	one	one	NUM
ajbmeb-989	35	26	direction	direction	NOUN
ajbmeb-989	35	27	,	,	PUNCT
ajbmeb-989	35	28	meaning	mean	VERB
ajbmeb-989	35	29	that	that	SCONJ
ajbmeb-989	35	30	the	the	DET
ajbmeb-989	35	31	data	datum	NOUN
ajbmeb-989	35	32	spreads	spread	VERB
ajbmeb-989	35	33	from	from	ADP
ajbmeb-989	35	34	the	the	DET
ajbmeb-989	35	35	back	back	NOUN
ajbmeb-989	35	36	to	to	ADP
ajbmeb-989	35	37	the	the	DET
ajbmeb-989	35	38	front	front	NOUN
ajbmeb-989	35	39	(	(	PUNCT
ajbmeb-989	35	40	i.e.	i.e.	X
ajbmeb-989	35	41	,	,	PUNCT
ajbmeb-989	35	42	from	from	ADP
ajbmeb-989	35	43	the	the	DET
ajbmeb-989	35	44	input	input	NOUN
ajbmeb-989	35	45	layer	layer	NOUN
ajbmeb-989	35	46	to	to	ADP
ajbmeb-989	35	47	the	the	DET
ajbmeb-989	35	48	output	output	NOUN
ajbmeb-989	35	49	layer	layer	NOUN
ajbmeb-989	35	50	)	)	PUNCT
ajbmeb-989	35	51	because	because	SCONJ
ajbmeb-989	35	52	their	their	PRON
ajbmeb-989	35	53	structure	structure	NOUN
ajbmeb-989	35	54	lacks	lack	VERB
ajbmeb-989	35	55	closed	closed	ADJ
ajbmeb-989	35	56	loops	loop	NOUN
ajbmeb-989	35	57	of	of	ADP
ajbmeb-989	35	58	connections	connection	NOUN
ajbmeb-989	35	59	between	between	ADP
ajbmeb-989	35	60	the	the	DET
ajbmeb-989	35	61	layers	layer	NOUN
ajbmeb-989	35	62	(	(	PUNCT
ajbmeb-989	35	63	stergiou	stergiou	NOUN
ajbmeb-989	35	64	&	&	CCONJ
ajbmeb-989	35	65	siganos	sigano	NOUN
ajbmeb-989	35	66	,	,	PUNCT
ajbmeb-989	35	67	2006	2006	NUM
ajbmeb-989	35	68	)	)	PUNCT
ajbmeb-989	35	69	.	.	PUNCT
ajbmeb-989	36	1	1	1	NUM
ajbmeb-989	36	2	-	-	SYM
ajbmeb-989	36	3	2	2	NUM
ajbmeb-989	36	4	-	-	SYM
ajbmeb-989	36	5	2	2	NUM
ajbmeb-989	36	6	backpropagation	backpropagation	NOUN
ajbmeb-989	36	7	neural	neural	ADJ
ajbmeb-989	36	8	networks	network	NOUN
ajbmeb-989	36	9	(	(	PUNCT
ajbmeb-989	36	10	nnn	nnn	NOUN
ajbmeb-989	36	11	)	)	PUNCT
ajbmeb-989	36	12	backpropagation	backpropagation	NOUN
ajbmeb-989	36	13	networks	network	NOUN
ajbmeb-989	36	14	allow	allow	VERB
ajbmeb-989	36	15	information	information	NOUN
ajbmeb-989	36	16	to	to	PART
ajbmeb-989	36	17	flow	flow	VERB
ajbmeb-989	36	18	in	in	ADP
ajbmeb-989	36	19	both	both	DET
ajbmeb-989	36	20	directions	direction	NOUN
ajbmeb-989	36	21	,	,	PUNCT
ajbmeb-989	36	22	and	and	CCONJ
ajbmeb-989	36	23	they	they	PRON
ajbmeb-989	36	24	are	be	AUX
ajbmeb-989	36	25	complex	complex	ADJ
ajbmeb-989	36	26	and	and	CCONJ
ajbmeb-989	36	27	powerful	powerful	ADJ
ajbmeb-989	36	28	.	.	PUNCT
ajbmeb-989	37	1	they	they	PRON
ajbmeb-989	37	2	are	be	AUX
ajbmeb-989	37	3	dynamic	dynamic	ADJ
ajbmeb-989	37	4	networks	network	NOUN
ajbmeb-989	37	5	that	that	PRON
ajbmeb-989	37	6	continuously	continuously	ADV
ajbmeb-989	37	7	change	change	VERB
ajbmeb-989	37	8	their	their	PRON
ajbmeb-989	37	9	stability	stability	NOUN
ajbmeb-989	37	10	until	until	ADP
ajbmeb-989	37	11	reaching	reach	VERB
ajbmeb-989	37	12	a	a	DET
ajbmeb-989	37	13	point	point	NOUN
ajbmeb-989	37	14	of	of	ADP
ajbmeb-989	37	15	equilibrium	equilibrium	NOUN
ajbmeb-989	37	16	,	,	PUNCT
ajbmeb-989	37	17	and	and	CCONJ
ajbmeb-989	37	18	they	they	PRON
ajbmeb-989	37	19	remain	remain	VERB
ajbmeb-989	37	20	there	there	ADV
ajbmeb-989	37	21	until	until	ADP
ajbmeb-989	37	22	the	the	DET
ajbmeb-989	37	23	input	input	NOUN
ajbmeb-989	37	24	changes	change	NOUN
ajbmeb-989	37	25	and	and	CCONJ
ajbmeb-989	37	26	a	a	DET
ajbmeb-989	37	27	new	new	ADJ
ajbmeb-989	37	28	equilibrium	equilibrium	NOUN
ajbmeb-989	37	29	needs	need	VERB
ajbmeb-989	37	30	to	to	PART
ajbmeb-989	37	31	be	be	AUX
ajbmeb-989	37	32	found	find	VERB
ajbmeb-989	37	33	(	(	PUNCT
ajbmeb-989	37	34	stergiou	stergiou	NOUN
ajbmeb-989	37	35	&	&	CCONJ
ajbmeb-989	37	36	siganos	sigano	NOUN
ajbmeb-989	37	37	,	,	PUNCT
ajbmeb-989	37	38	2006	2006	NUM
ajbmeb-989	37	39	)	)	PUNCT
ajbmeb-989	37	40	.	.	PUNCT
ajbmeb-989	38	1	bnn	bnn	PROPN
ajbmeb-989	38	2	is	be	AUX
ajbmeb-989	38	3	based	base	VERB
ajbmeb-989	38	4	on	on	ADP
ajbmeb-989	38	5	the	the	DET
ajbmeb-989	38	6	concept	concept	NOUN
ajbmeb-989	38	7	of	of	ADP
ajbmeb-989	38	8	training	train	VERB
ajbmeb-989	38	9	the	the	DET
ajbmeb-989	38	10	network	network	NOUN
ajbmeb-989	38	11	using	use	VERB
ajbmeb-989	38	12	the	the	DET
ajbmeb-989	38	13	mean	mean	ADJ
ajbmeb-989	38	14	square	square	NOUN
ajbmeb-989	38	15	error	error	NOUN
ajbmeb-989	38	16	,	,	PUNCT
ajbmeb-989	38	17	by	by	ADP
ajbmeb-989	38	18	finding	find	VERB
ajbmeb-989	38	19	the	the	DET
ajbmeb-989	38	20	minimum	minimum	ADJ
ajbmeb-989	38	21	value	value	NOUN
ajbmeb-989	38	22	of	of	ADP
ajbmeb-989	38	23	the	the	DET
ajbmeb-989	38	24	total	total	ADJ
ajbmeb-989	38	25	error	error	NOUN
ajbmeb-989	38	26	square	square	NOUN
ajbmeb-989	38	27	for	for	ADP
ajbmeb-989	38	28	the	the	DET
ajbmeb-989	38	29	output	output	NOUN
ajbmeb-989	38	30	values	value	NOUN
ajbmeb-989	38	31	computed	compute	VERB
ajbmeb-989	38	32	by	by	ADP
ajbmeb-989	38	33	the	the	DET
ajbmeb-989	38	34	network	network	NOUN
ajbmeb-989	38	35	.	.	PUNCT
ajbmeb-989	39	1	the	the	DET
ajbmeb-989	39	2	weights	weight	NOUN
ajbmeb-989	39	3	between	between	ADP
ajbmeb-989	39	4	the	the	DET
ajbmeb-989	39	5	layers	layer	NOUN
ajbmeb-989	39	6	are	be	AUX
ajbmeb-989	39	7	updated	update	VERB
ajbmeb-989	39	8	until	until	SCONJ
ajbmeb-989	39	9	the	the	DET
ajbmeb-989	39	10	optimal	optimal	ADJ
ajbmeb-989	39	11	weights	weight	NOUN
ajbmeb-989	39	12	that	that	PRON
ajbmeb-989	39	13	provide	provide	VERB
ajbmeb-989	39	14	the	the	DET
ajbmeb-989	39	15	best	good	ADJ
ajbmeb-989	39	16	fit	fit	NOUN
ajbmeb-989	39	17	for	for	ADP
ajbmeb-989	39	18	the	the	DET
ajbmeb-989	39	19	model	model	NOUN
ajbmeb-989	39	20	are	be	AUX
ajbmeb-989	39	21	achieved	achieve	VERB
ajbmeb-989	39	22	(	(	PUNCT
ajbmeb-989	39	23	al	al	PROPN
ajbmeb-989	39	24	-	-	PUNCT
ajbmeb-989	39	25	nasser	nasser	PROPN
ajbmeb-989	39	26	&	&	CCONJ
ajbmeb-989	39	27	al	al	PROPN
ajbmeb-989	39	28	-	-	PUNCT
ajbmeb-989	39	29	obaidi	obaidi	PROPN
ajbmeb-989	39	30	,	,	PUNCT
ajbmeb-989	39	31	2003	2003	NUM
ajbmeb-989	39	32	)	)	PUNCT
ajbmeb-989	39	33	.	.	PUNCT
ajbmeb-989	40	1	the	the	DET
ajbmeb-989	40	2	key	key	NOUN
ajbmeb-989	40	3	to	to	ADP
ajbmeb-989	40	4	an	an	DET
ajbmeb-989	40	5	ann	ann	PROPN
ajbmeb-989	40	6	model	model	NOUN
ajbmeb-989	40	7	is	be	AUX
ajbmeb-989	40	8	the	the	DET
ajbmeb-989	40	9	structure	structure	NOUN
ajbmeb-989	40	10	of	of	ADP
ajbmeb-989	40	11	the	the	DET
ajbmeb-989	40	12	information	information	NOUN
ajbmeb-989	40	13	processing	processing	NOUN
ajbmeb-989	40	14	system	system	NOUN
ajbmeb-989	40	15	that	that	PRON
ajbmeb-989	40	16	connects	connect	VERB
ajbmeb-989	40	17	and	and	CCONJ
ajbmeb-989	40	18	organizes	organize	VERB
ajbmeb-989	40	19	a	a	DET
ajbmeb-989	40	20	large	large	ADJ
ajbmeb-989	40	21	number	number	NOUN
ajbmeb-989	40	22	of	of	ADP
ajbmeb-989	40	23	internally	internally	ADV
ajbmeb-989	40	24	connected	connected	ADJ
ajbmeb-989	40	25	processing	processing	NOUN
ajbmeb-989	40	26	elements	element	NOUN
ajbmeb-989	40	27	(	(	PUNCT
ajbmeb-989	40	28	neurons	neuron	NOUN
ajbmeb-989	40	29	)	)	PUNCT
ajbmeb-989	40	30	that	that	PRON
ajbmeb-989	40	31	work	work	VERB
ajbmeb-989	40	32	together	together	ADV
ajbmeb-989	40	33	to	to	PART
ajbmeb-989	40	34	solve	solve	VERB
ajbmeb-989	40	35	specific	specific	ADJ
ajbmeb-989	40	36	problems	problem	NOUN
ajbmeb-989	40	37	.	.	PUNCT
ajbmeb-989	41	1	signals	signal	NOUN
ajbmeb-989	41	2	pass	pass	VERB
ajbmeb-989	41	3	between	between	ADP
ajbmeb-989	41	4	nodes	node	NOUN
ajbmeb-989	41	5	(	(	PUNCT
ajbmeb-989	41	6	neurons	neuron	NOUN
ajbmeb-989	41	7	)	)	PUNCT
ajbmeb-989	41	8	through	through	ADP
ajbmeb-989	41	9	connecting	connect	VERB
ajbmeb-989	41	10	lines	line	NOUN
ajbmeb-989	41	11	,	,	PUNCT
ajbmeb-989	41	12	and	and	CCONJ
ajbmeb-989	41	13	each	each	DET
ajbmeb-989	41	14	line	line	NOUN
ajbmeb-989	41	15	is	be	AUX
ajbmeb-989	41	16	associated	associate	VERB
ajbmeb-989	41	17	with	with	ADP
ajbmeb-989	41	18	a	a	DET
ajbmeb-989	41	19	certain	certain	ADJ
ajbmeb-989	41	20	weight	weight	NOUN
ajbmeb-989	41	21	.	.	PUNCT
ajbmeb-989	42	1	the	the	DET
ajbmeb-989	42	2	incoming	incoming	ADJ
ajbmeb-989	42	3	signals	signal	NOUN
ajbmeb-989	42	4	to	to	ADP
ajbmeb-989	42	5	the	the	DET
ajbmeb-989	42	6	node	node	NOUN
ajbmeb-989	42	7	(	(	PUNCT
ajbmeb-989	42	8	neuron	neuron	PROPN
ajbmeb-989	42	9	)	)	PUNCT
ajbmeb-989	42	10	are	be	AUX
ajbmeb-989	42	11	multiplied	multiply	VERB
ajbmeb-989	42	12	by	by	ADP
ajbmeb-989	42	13	these	these	DET
ajbmeb-989	42	14	weights	weight	NOUN
ajbmeb-989	42	15	,	,	PUNCT
ajbmeb-989	42	16	and	and	CCONJ
ajbmeb-989	42	17	the	the	DET
ajbmeb-989	42	18	weighted	weight	VERB
ajbmeb-989	42	19	inputs	input	NOUN
ajbmeb-989	42	20	are	be	AUX
ajbmeb-989	42	21	summed	sum	VERB
ajbmeb-989	42	22	up	up	ADP
ajbmeb-989	42	23	in	in	ADP
ajbmeb-989	42	24	the	the	DET
ajbmeb-989	42	25	nodes	node	NOUN
ajbmeb-989	42	26	or	or	CCONJ
ajbmeb-989	42	27	neurons	neuron	NOUN
ajbmeb-989	42	28	.	.	PUNCT
ajbmeb-989	43	1	then	then	ADV
ajbmeb-989	43	2	,	,	PUNCT
ajbmeb-989	43	3	the	the	DET
ajbmeb-989	43	4	outputs	output	NOUN
ajbmeb-989	43	5	of	of	ADP
ajbmeb-989	43	6	each	each	DET
ajbmeb-989	43	7	node	node	NOUN
ajbmeb-989	43	8	are	be	AUX
ajbmeb-989	43	9	processed	process	VERB
ajbmeb-989	43	10	by	by	ADP
ajbmeb-989	43	11	a	a	DET
ajbmeb-989	43	12	non	non	ADJ
ajbmeb-989	43	13	-	-	ADJ
ajbmeb-989	43	14	linear	linear	ADJ
ajbmeb-989	43	15	function	function	NOUN
ajbmeb-989	43	16	with	with	ADP
ajbmeb-989	43	17	a	a	DET
ajbmeb-989	43	18	specific	specific	ADJ
ajbmeb-989	43	19	threshold	threshold	NOUN
ajbmeb-989	43	20	called	call	VERB
ajbmeb-989	43	21	the	the	DET
ajbmeb-989	43	22	activation	activation	NOUN
ajbmeb-989	43	23	function	function	NOUN
ajbmeb-989	43	24	(	(	PUNCT
ajbmeb-989	43	25	stergiou	stergiou	NOUN
ajbmeb-989	43	26	&	&	CCONJ
ajbmeb-989	43	27	siganos	sigano	NOUN
ajbmeb-989	43	28	,	,	PUNCT
ajbmeb-989	43	29	2006	2006	NUM
ajbmeb-989	43	30	)	)	PUNCT
ajbmeb-989	43	31	.	.	PUNCT
ajbmeb-989	44	1	1	1	NUM
ajbmeb-989	44	2	-	-	SYM
ajbmeb-989	44	3	3	3	NUM
ajbmeb-989	44	4	activation	activation	NOUN
ajbmeb-989	44	5	function	function	NOUN
ajbmeb-989	44	6	it	it	PRON
ajbmeb-989	44	7	is	be	AUX
ajbmeb-989	44	8	also	also	ADV
ajbmeb-989	44	9	known	know	VERB
ajbmeb-989	44	10	as	as	ADP
ajbmeb-989	44	11	conversion	conversion	NOUN
ajbmeb-989	44	12	functions	function	NOUN
ajbmeb-989	44	13	because	because	SCONJ
ajbmeb-989	44	14	it	it	PRON
ajbmeb-989	44	15	converts	convert	VERB
ajbmeb-989	44	16	input	input	NOUN
ajbmeb-989	44	17	values	value	NOUN
ajbmeb-989	44	18	by	by	ADP
ajbmeb-989	44	19	mixing	mix	VERB
ajbmeb-989	44	20	them	they	PRON
ajbmeb-989	44	21	with	with	ADP
ajbmeb-989	44	22	weights	weight	NOUN
ajbmeb-989	44	23	from	from	ADP
ajbmeb-989	44	24	one	one	NUM
ajbmeb-989	44	25	mathematical	mathematical	ADJ
ajbmeb-989	44	26	formula	formula	NOUN
ajbmeb-989	44	27	to	to	ADP
ajbmeb-989	44	28	another	another	PRON
ajbmeb-989	44	29	.	.	PUNCT
ajbmeb-989	45	1	it	it	PRON
ajbmeb-989	45	2	also	also	ADV
ajbmeb-989	45	3	has	have	VERB
ajbmeb-989	45	4	several	several	ADJ
ajbmeb-989	45	5	forms	form	NOUN
ajbmeb-989	45	6	,	,	PUNCT
ajbmeb-989	45	7	including	include	VERB
ajbmeb-989	45	8	linear	linear	NOUN
ajbmeb-989	45	9	and	and	CCONJ
ajbmeb-989	45	10	nonlinear	nonlinear	ADJ
ajbmeb-989	45	11	,	,	PUNCT
ajbmeb-989	45	12	and	and	CCONJ
ajbmeb-989	45	13	is	be	AUX
ajbmeb-989	45	14	characterized	characterize	VERB
ajbmeb-989	45	15	by	by	ADP
ajbmeb-989	45	16	its	its	PRON
ajbmeb-989	45	17	ability	ability	NOUN
ajbmeb-989	45	18	to	to	PART
ajbmeb-989	45	19	determine	determine	VERB
ajbmeb-989	45	20	the	the	DET
ajbmeb-989	45	21	type	type	NOUN
ajbmeb-989	45	22	of	of	ADP
ajbmeb-989	45	23	relationship	relationship	NOUN
ajbmeb-989	45	24	between	between	ADP
ajbmeb-989	45	25	inputs	input	NOUN
ajbmeb-989	45	26	and	and	CCONJ
ajbmeb-989	45	27	outputs	output	NOUN
ajbmeb-989	45	28	and	and	CCONJ
ajbmeb-989	45	29	forms	form	NOUN
ajbmeb-989	45	30	of	of	ADP
ajbmeb-989	45	31	activation	activation	NOUN
ajbmeb-989	45	32	functions	function	NOUN
ajbmeb-989	45	33	(	(	PUNCT
ajbmeb-989	45	34	wasserman	wasserman	NOUN
ajbmeb-989	45	35	,	,	PUNCT
ajbmeb-989	45	36	1989	1989	NUM
ajbmeb-989	45	37	;	;	PUNCT
ajbmeb-989	45	38	zurada	zurada	PROPN
ajbmeb-989	45	39	,	,	PUNCT
ajbmeb-989	45	40	1960	1960	NUM
ajbmeb-989	45	41	)	)	PUNCT
ajbmeb-989	45	42	.	.	PUNCT
ajbmeb-989	46	1	1linear	1linear	NUM
ajbmeb-989	46	2	activation	activation	NOUN
ajbmeb-989	46	3	function	function	VERB
ajbmeb-989	46	4	a	a	DET
ajbmeb-989	46	5	=	=	NOUN
ajbmeb-989	46	6	f(n)=n	f(n)=n	NOUN
ajbmeb-989	46	7	…	…	SYM
ajbmeb-989	46	8	…	…	PUNCT
ajbmeb-989	46	9	.(1	.(1	NUM
ajbmeb-989	46	10	)	)	PUNCT
ajbmeb-989	47	1	the	the	DET
ajbmeb-989	47	2	derivative	derivative	NOUN
ajbmeb-989	47	3	of	of	ADP
ajbmeb-989	47	4	this	this	DET
ajbmeb-989	47	5	function	function	NOUN
ajbmeb-989	47	6	is	be	AUX
ajbmeb-989	47	7	in	in	ADP
ajbmeb-989	47	8	this	this	DET
ajbmeb-989	47	9	form	form	NOUN
ajbmeb-989	47	10	f	f	PROPN
ajbmeb-989	47	11	̅(n)=1	̅(n)=1	NOUN
ajbmeb-989	47	12	…	…	PUNCT
ajbmeb-989	47	13	…	…	PUNCT
ajbmeb-989	47	14	…	…	PUNCT
ajbmeb-989	47	15	(2	(2	NUM
ajbmeb-989	47	16	)	)	PUNCT
ajbmeb-989	47	17	american	american	ADJ
ajbmeb-989	47	18	journal	journal	PROPN
ajbmeb-989	47	19	of	of	ADP
ajbmeb-989	47	20	business	business	NOUN
ajbmeb-989	47	21	management	management	NOUN
ajbmeb-989	47	22	,	,	PUNCT
ajbmeb-989	47	23	economics	economic	NOUN
ajbmeb-989	47	24	and	and	CCONJ
ajbmeb-989	47	25	banking	banking	NOUN
ajbmeb-989	47	26	volume	volume	NOUN
ajbmeb-989	47	27	13	13	NUM
ajbmeb-989	47	28	june	june	PROPN
ajbmeb-989	47	29	,	,	PUNCT
ajbmeb-989	47	30	2023	2023	NUM
ajbmeb-989	47	31	p	p	NOUN
ajbmeb-989	47	32	a	a	PRON
ajbmeb-989	47	33	g	g	NOUN
ajbmeb-989	47	34	e	e	NOUN
ajbmeb-989	48	1	|	|	ADV
ajbmeb-989	48	2	77	77	NUM
ajbmeb-989	48	3	www.americanjournal.org	www.americanjournal.org	NOUN
ajbmeb-989	48	4	2logistics	2logistics	NUM
ajbmeb-989	48	5	activation	activation	NOUN
ajbmeb-989	48	6	function	function	VERB
ajbmeb-989	48	7	this	this	DET
ajbmeb-989	48	8	function	function	NOUN
ajbmeb-989	48	9	is	be	AUX
ajbmeb-989	48	10	often	often	ADV
ajbmeb-989	48	11	used	use	VERB
ajbmeb-989	48	12	at	at	ADP
ajbmeb-989	48	13	the	the	DET
ajbmeb-989	48	14	hidden	hide	VERB
ajbmeb-989	48	15	layer	layer	NOUN
ajbmeb-989	48	16	of	of	ADP
ajbmeb-989	48	17	neural	neural	ADJ
ajbmeb-989	48	18	networks	network	NOUN
ajbmeb-989	48	19	since	since	SCONJ
ajbmeb-989	48	20	the	the	DET
ajbmeb-989	48	21	input	input	NOUN
ajbmeb-989	48	22	values	value	NOUN
ajbmeb-989	48	23	are	be	AUX
ajbmeb-989	48	24	basically	basically	ADV
ajbmeb-989	48	25	real	real	ADJ
ajbmeb-989	48	26	values	value	NOUN
ajbmeb-989	48	27	(	(	PUNCT
ajbmeb-989	48	28	-∞	-∞	X
ajbmeb-989	48	29	,	,	PUNCT
ajbmeb-989	48	30	+	+	NOUN
ajbmeb-989	48	31	∞	∞	NOUN
ajbmeb-989	48	32	)	)	PUNCT
ajbmeb-989	48	33	while	while	SCONJ
ajbmeb-989	48	34	the	the	DET
ajbmeb-989	48	35	output	output	NOUN
ajbmeb-989	48	36	values	value	NOUN
ajbmeb-989	48	37	of	of	ADP
ajbmeb-989	48	38	the	the	DET
ajbmeb-989	48	39	function	function	NOUN
ajbmeb-989	48	40	for	for	ADP
ajbmeb-989	48	41	each	each	DET
ajbmeb-989	48	42	node	node	NOUN
ajbmeb-989	48	43	of	of	ADP
ajbmeb-989	48	44	the	the	DET
ajbmeb-989	48	45	network	network	NOUN
ajbmeb-989	48	46	are	be	AUX
ajbmeb-989	48	47	(	(	PUNCT
ajbmeb-989	48	48	0,1	0,1	NUM
ajbmeb-989	48	49	)	)	PUNCT
ajbmeb-989	48	50	and	and	CCONJ
ajbmeb-989	48	51	are	be	AUX
ajbmeb-989	48	52	according	accord	VERB
ajbmeb-989	48	53	to	to	ADP
ajbmeb-989	48	54	the	the	DET
ajbmeb-989	48	55	following	follow	VERB
ajbmeb-989	48	56	formula	formula	NOUN
ajbmeb-989	48	57	:	:	PUNCT
ajbmeb-989	48	58	f(n)=(1	f(n)=(1	NOUN
ajbmeb-989	48	59	+	+	CCONJ
ajbmeb-989	48	60	e	e	NOUN
ajbmeb-989	48	61	−n	−n	NOUN
ajbmeb-989	48	62	q	q	NOUN
ajbmeb-989	48	63	)	)	PUNCT
ajbmeb-989	48	64	−1	−1	NOUN
ajbmeb-989	48	65	…	…	PUNCT
ajbmeb-989	48	66	…	…	PUNCT
ajbmeb-989	48	67	..	..	PUNCT
ajbmeb-989	48	68	(3	(3	PUNCT
ajbmeb-989	48	69	)	)	PUNCT
ajbmeb-989	48	70	this	this	DET
ajbmeb-989	48	71	function	function	NOUN
ajbmeb-989	48	72	can	can	AUX
ajbmeb-989	48	73	be	be	AUX
ajbmeb-989	48	74	derivated	derivate	VERB
ajbmeb-989	48	75	in	in	ADP
ajbmeb-989	48	76	this	this	DET
ajbmeb-989	48	77	form	form	NOUN
ajbmeb-989	48	78	f̅(n)=(f(n)(1	f̅(n)=(f(n)(1	NOUN
ajbmeb-989	48	79	-	-	PUNCT
ajbmeb-989	48	80	f(n)/q	f(n)/q	PROPN
ajbmeb-989	48	81	…	…	SYM
ajbmeb-989	48	82	…	…	PUNCT
ajbmeb-989	48	83	..	..	PUNCT
ajbmeb-989	48	84	(4	(4	NOUN
ajbmeb-989	48	85	)	)	PUNCT
ajbmeb-989	48	86	3	3	NUM
ajbmeb-989	48	87	-	-	NUM
ajbmeb-989	48	88	the	the	DET
ajbmeb-989	48	89	step	step	NOUN
ajbmeb-989	48	90	activation	activation	NOUN
ajbmeb-989	48	91	function	function	NOUN
ajbmeb-989	48	92	this	this	DET
ajbmeb-989	48	93	function	function	NOUN
ajbmeb-989	48	94	is	be	AUX
ajbmeb-989	48	95	used	use	VERB
ajbmeb-989	48	96	in	in	ADP
ajbmeb-989	48	97	classification	classification	NOUN
ajbmeb-989	48	98	models	model	NOUN
ajbmeb-989	48	99	,	,	PUNCT
ajbmeb-989	48	100	and	and	CCONJ
ajbmeb-989	48	101	its	its	PRON
ajbmeb-989	48	102	outputs	output	NOUN
ajbmeb-989	48	103	depend	depend	VERB
ajbmeb-989	48	104	entirely	entirely	ADV
ajbmeb-989	48	105	on	on	ADP
ajbmeb-989	48	106	the	the	DET
ajbmeb-989	48	107	inputs	input	NOUN
ajbmeb-989	48	108	.	.	PUNCT
ajbmeb-989	49	1	the	the	DET
ajbmeb-989	49	2	output	output	NOUN
ajbmeb-989	49	3	of	of	ADP
ajbmeb-989	49	4	the	the	DET
ajbmeb-989	49	5	function	function	NOUN
ajbmeb-989	49	6	equals	equal	VERB
ajbmeb-989	49	7	(	(	PUNCT
ajbmeb-989	49	8	1	1	NUM
ajbmeb-989	49	9	)	)	PUNCT
ajbmeb-989	49	10	if	if	SCONJ
ajbmeb-989	49	11	the	the	DET
ajbmeb-989	49	12	input	input	NOUN
ajbmeb-989	49	13	is	be	AUX
ajbmeb-989	49	14	greater	great	ADJ
ajbmeb-989	49	15	than	than	ADP
ajbmeb-989	49	16	or	or	CCONJ
ajbmeb-989	49	17	equal	equal	ADJ
ajbmeb-989	49	18	to	to	ADP
ajbmeb-989	49	19	(	(	PUNCT
ajbmeb-989	49	20	0	0	NUM
ajbmeb-989	49	21	)	)	PUNCT
ajbmeb-989	49	22	,	,	PUNCT
ajbmeb-989	49	23	otherwise	otherwise	ADV
ajbmeb-989	49	24	,	,	PUNCT
ajbmeb-989	49	25	the	the	DET
ajbmeb-989	49	26	output	output	NOUN
ajbmeb-989	49	27	equals	equal	VERB
ajbmeb-989	49	28	(	(	PUNCT
ajbmeb-989	49	29	0	0	NUM
ajbmeb-989	49	30	)	)	PUNCT
ajbmeb-989	49	31	.	.	PUNCT
ajbmeb-989	50	1	this	this	DET
ajbmeb-989	50	2	function	function	NOUN
ajbmeb-989	50	3	differs	differ	VERB
ajbmeb-989	50	4	from	from	ADP
ajbmeb-989	50	5	the	the	DET
ajbmeb-989	50	6	previous	previous	ADJ
ajbmeb-989	50	7	two	two	NUM
ajbmeb-989	50	8	functions	function	NOUN
ajbmeb-989	50	9	in	in	ADP
ajbmeb-989	50	10	that	that	SCONJ
ajbmeb-989	50	11	it	it	PRON
ajbmeb-989	50	12	has	have	VERB
ajbmeb-989	50	13	no	no	DET
ajbmeb-989	50	14	derivative	derivative	NOUN
ajbmeb-989	50	15	.	.	PUNCT
ajbmeb-989	51	1	it	it	PRON
ajbmeb-989	51	2	can	can	AUX
ajbmeb-989	51	3	be	be	AUX
ajbmeb-989	51	4	expressed	express	VERB
ajbmeb-989	51	5	as	as	ADP
ajbmeb-989	51	6	:	:	PUNCT
ajbmeb-989	51	7	a	a	DET
ajbmeb-989	51	8	=	=	NOUN
ajbmeb-989	51	9	f(n)=n	f(n)=n	NOUN
ajbmeb-989	51	10	…	…	SYM
ajbmeb-989	51	11	…	…	NUM
ajbmeb-989	51	12	.(5	.(5	NOUN
ajbmeb-989	51	13	)	)	PUNCT
ajbmeb-989	52	1	a={0,n<0	a={0,n<0	PRON
ajbmeb-989	52	2	1,n≥0	1,n≥0	NUM
ajbmeb-989	52	3	4	4	NUM
ajbmeb-989	52	4	-	-	PUNCT
ajbmeb-989	52	5	threshold	threshold	NOUN
ajbmeb-989	52	6	activation	activation	NOUN
ajbmeb-989	52	7	function	function	VERB
ajbmeb-989	52	8	the	the	DET
ajbmeb-989	52	9	threshold	threshold	NOUN
ajbmeb-989	52	10	activation	activation	NOUN
ajbmeb-989	52	11	function	function	NOUN
ajbmeb-989	52	12	is	be	AUX
ajbmeb-989	52	13	similar	similar	ADJ
ajbmeb-989	52	14	to	to	ADP
ajbmeb-989	52	15	the	the	DET
ajbmeb-989	52	16	step	step	NOUN
ajbmeb-989	52	17	function	function	NOUN
ajbmeb-989	52	18	,	,	PUNCT
ajbmeb-989	52	19	as	as	SCONJ
ajbmeb-989	52	20	it	it	PRON
ajbmeb-989	52	21	has	have	VERB
ajbmeb-989	52	22	no	no	DET
ajbmeb-989	52	23	derivative	derivative	NOUN
ajbmeb-989	52	24	.	.	PUNCT
ajbmeb-989	53	1	the	the	DET
ajbmeb-989	53	2	output	output	NOUN
ajbmeb-989	53	3	values	value	NOUN
ajbmeb-989	53	4	equal	equal	ADJ
ajbmeb-989	53	5	(	(	PUNCT
ajbmeb-989	53	6	+1	+1	PROPN
ajbmeb-989	53	7	)	)	PUNCT
ajbmeb-989	53	8	if	if	SCONJ
ajbmeb-989	53	9	the	the	DET
ajbmeb-989	53	10	inputs	input	NOUN
ajbmeb-989	53	11	are	be	AUX
ajbmeb-989	53	12	greater	great	ADJ
ajbmeb-989	53	13	than	than	ADP
ajbmeb-989	53	14	or	or	CCONJ
ajbmeb-989	53	15	equal	equal	ADJ
ajbmeb-989	53	16	to	to	ADP
ajbmeb-989	53	17	(	(	PUNCT
ajbmeb-989	53	18	0	0	NUM
ajbmeb-989	53	19	)	)	PUNCT
ajbmeb-989	53	20	,	,	PUNCT
ajbmeb-989	53	21	and	and	CCONJ
ajbmeb-989	53	22	(	(	PUNCT
ajbmeb-989	53	23	-1	-1	INTJ
ajbmeb-989	53	24	)	)	PUNCT
ajbmeb-989	53	25	if	if	SCONJ
ajbmeb-989	53	26	the	the	DET
ajbmeb-989	53	27	inputs	input	NOUN
ajbmeb-989	53	28	are	be	AUX
ajbmeb-989	53	29	less	less	ADJ
ajbmeb-989	53	30	than	than	ADP
ajbmeb-989	53	31	(	(	PUNCT
ajbmeb-989	53	32	0	0	NUM
ajbmeb-989	53	33	)	)	PUNCT
ajbmeb-989	53	34	.	.	PUNCT
ajbmeb-989	54	1	it	it	PRON
ajbmeb-989	54	2	can	can	AUX
ajbmeb-989	54	3	be	be	AUX
ajbmeb-989	54	4	expressed	express	VERB
ajbmeb-989	54	5	as	as	ADP
ajbmeb-989	54	6	:	:	PUNCT
ajbmeb-989	54	7	a	a	DET
ajbmeb-989	54	8	=	=	PROPN
ajbmeb-989	54	9	f(n)	f(n)	PROPN
ajbmeb-989	54	10	…	…	SYM
ajbmeb-989	54	11	…	…	PUNCT
ajbmeb-989	54	12	(6	(6	NUM
ajbmeb-989	54	13	)	)	PUNCT
ajbmeb-989	54	14	a={−1,n<0	a={−1,n<0	PROPN
ajbmeb-989	55	1	1,n≥0	1,n≥0	NUM
ajbmeb-989	55	2	5bipolar	5bipolar	NUM
ajbmeb-989	55	3	sigmoid	sigmoid	NOUN
ajbmeb-989	55	4	activation	activation	NOUN
ajbmeb-989	55	5	function	function	NOUN
ajbmeb-989	55	6	this	this	DET
ajbmeb-989	55	7	function	function	NOUN
ajbmeb-989	55	8	is	be	AUX
ajbmeb-989	55	9	commonly	commonly	ADV
ajbmeb-989	55	10	used	use	VERB
ajbmeb-989	55	11	in	in	ADP
ajbmeb-989	55	12	feature	feature	NOUN
ajbmeb-989	55	13	estimation	estimation	NOUN
ajbmeb-989	55	14	.	.	PUNCT
ajbmeb-989	56	1	the	the	DET
ajbmeb-989	56	2	input	input	NOUN
ajbmeb-989	56	3	values	value	NOUN
ajbmeb-989	56	4	range	range	VERB
ajbmeb-989	56	5	from	from	ADP
ajbmeb-989	56	6	(	(	PUNCT
ajbmeb-989	56	7	-∞	-∞	X
ajbmeb-989	56	8	to	to	ADP
ajbmeb-989	56	9	+	+	NOUN
ajbmeb-989	56	10	∞	∞	NOUN
ajbmeb-989	56	11	)	)	PUNCT
ajbmeb-989	56	12	,	,	PUNCT
ajbmeb-989	56	13	while	while	SCONJ
ajbmeb-989	56	14	the	the	DET
ajbmeb-989	56	15	output	output	NOUN
ajbmeb-989	56	16	values	value	NOUN
ajbmeb-989	56	17	range	range	VERB
ajbmeb-989	56	18	from	from	ADP
ajbmeb-989	56	19	(	(	PUNCT
ajbmeb-989	56	20	-1	-1	ADP
ajbmeb-989	56	21	to	to	ADP
ajbmeb-989	56	22	+1	+1	PROPN
ajbmeb-989	56	23	)	)	PUNCT
ajbmeb-989	56	24	.	.	PUNCT
ajbmeb-989	57	1	it	it	PRON
ajbmeb-989	57	2	can	can	AUX
ajbmeb-989	57	3	be	be	AUX
ajbmeb-989	57	4	expressed	express	VERB
ajbmeb-989	57	5	as	as	ADP
ajbmeb-989	57	6	:	:	PUNCT
ajbmeb-989	57	7	f(n)=tanh(n	f(n)=tanh(n	VERB
ajbmeb-989	57	8	/	/	SYM
ajbmeb-989	57	9	q)=1	q)=1	NOUN
ajbmeb-989	57	10	-	-	NOUN
ajbmeb-989	57	11	2/(1+e^(2n))	2/(1+e^(2n))	NUM
ajbmeb-989	57	12	......	......	PUNCT
ajbmeb-989	57	13	(7	(7	PROPN
ajbmeb-989	57	14	)	)	PUNCT
ajbmeb-989	57	15	the	the	DET
ajbmeb-989	57	16	derivative	derivative	NOUN
ajbmeb-989	57	17	of	of	ADP
ajbmeb-989	57	18	the	the	DET
ajbmeb-989	57	19	function	function	NOUN
ajbmeb-989	57	20	is	be	AUX
ajbmeb-989	57	21	given	give	VERB
ajbmeb-989	57	22	by	by	ADP
ajbmeb-989	57	23	:	:	PUNCT
ajbmeb-989	57	24	f(̅n	f(̅n	NOUN
ajbmeb-989	57	25	)	)	PUNCT
ajbmeb-989	57	26	=	=	SYM
ajbmeb-989	57	27	1−[f(n)]2	1−[f(n)]2	NUM
ajbmeb-989	57	28	q	q	NOUN
ajbmeb-989	57	29	…	…	PUNCT
ajbmeb-989	57	30	…	…	X
ajbmeb-989	57	31	.(8	.(8	NUM
ajbmeb-989	57	32	)	)	PUNCT
ajbmeb-989	57	33	1	1	NUM
ajbmeb-989	57	34	-	-	SYM
ajbmeb-989	57	35	4	4	NUM
ajbmeb-989	57	36	backpropagation	backpropagation	NOUN
ajbmeb-989	57	37	algorithm	algorithm	NOUN
ajbmeb-989	57	38	python	python	NOUN
ajbmeb-989	57	39	the	the	DET
ajbmeb-989	57	40	backward	backward	ADJ
ajbmeb-989	57	41	backpropagation	backpropagation	NOUN
ajbmeb-989	57	42	is	be	AUX
ajbmeb-989	57	43	one	one	NUM
ajbmeb-989	57	44	of	of	ADP
ajbmeb-989	57	45	the	the	DET
ajbmeb-989	57	46	most	most	ADV
ajbmeb-989	57	47	important	important	ADJ
ajbmeb-989	57	48	supervised	supervised	ADJ
ajbmeb-989	57	49	training	training	NOUN
ajbmeb-989	57	50	algorithms	algorithm	NOUN
ajbmeb-989	57	51	for	for	ADP
ajbmeb-989	57	52	neural	neural	ADJ
ajbmeb-989	57	53	networks	network	NOUN
ajbmeb-989	57	54	.	.	PUNCT
ajbmeb-989	58	1	its	its	PRON
ajbmeb-989	58	2	name	name	NOUN
ajbmeb-989	58	3	comes	come	VERB
ajbmeb-989	58	4	from	from	ADP
ajbmeb-989	58	5	the	the	DET
ajbmeb-989	58	6	fact	fact	NOUN
ajbmeb-989	58	7	that	that	SCONJ
ajbmeb-989	58	8	the	the	DET
ajbmeb-989	58	9	error	error	NOUN
ajbmeb-989	58	10	is	be	AUX
ajbmeb-989	58	11	propagated	propagate	VERB
ajbmeb-989	58	12	backward	backward	ADV
ajbmeb-989	58	13	through	through	ADP
ajbmeb-989	58	14	the	the	DET
ajbmeb-989	58	15	network	network	NOUN
ajbmeb-989	58	16	from	from	ADP
ajbmeb-989	58	17	layer	layer	NOUN
ajbmeb-989	58	18	to	to	ADP
ajbmeb-989	58	19	layer	layer	NOUN
ajbmeb-989	58	20	.	.	PUNCT
ajbmeb-989	59	1	this	this	DET
ajbmeb-989	59	2	algorithm	algorithm	NOUN
ajbmeb-989	59	3	relies	rely	VERB
ajbmeb-989	59	4	on	on	ADP
ajbmeb-989	59	5	choosing	choose	VERB
ajbmeb-989	59	6	a	a	DET
ajbmeb-989	59	7	suitable	suitable	ADJ
ajbmeb-989	59	8	error	error	NOUN
ajbmeb-989	59	9	function	function	NOUN
ajbmeb-989	59	10	,	,	PUNCT
ajbmeb-989	59	11	which	which	PRON
ajbmeb-989	59	12	is	be	AUX
ajbmeb-989	59	13	determined	determine	VERB
ajbmeb-989	59	14	by	by	ADP
ajbmeb-989	59	15	the	the	DET
ajbmeb-989	59	16	actual	actual	ADJ
ajbmeb-989	59	17	and	and	CCONJ
ajbmeb-989	59	18	desired	desire	VERB
ajbmeb-989	59	19	output	output	NOUN
ajbmeb-989	59	20	values	value	NOUN
ajbmeb-989	59	21	,	,	PUNCT
ajbmeb-989	59	22	as	as	ADV
ajbmeb-989	59	23	well	well	ADV
ajbmeb-989	59	24	as	as	ADP
ajbmeb-989	59	25	the	the	DET
ajbmeb-989	59	26	network	network	NOUN
ajbmeb-989	59	27	's	's	PART
ajbmeb-989	59	28	features	feature	NOUN
ajbmeb-989	59	29	such	such	ADJ
ajbmeb-989	59	30	as	as	ADP
ajbmeb-989	59	31	weights	weight	NOUN
ajbmeb-989	59	32	and	and	CCONJ
ajbmeb-989	59	33	thresholds	threshold	NOUN
ajbmeb-989	59	34	(	(	PUNCT
ajbmeb-989	59	35	arabic	arabic	ADJ
ajbmeb-989	59	36	encyclopedia	encyclopedia	NOUN
ajbmeb-989	59	37	for	for	ADP
ajbmeb-989	59	38	computer	computer	NOUN
ajbmeb-989	59	39	and	and	CCONJ
ajbmeb-989	59	40	the	the	DET
ajbmeb-989	59	41	internet	internet	NOUN
ajbmeb-989	59	42	,	,	PUNCT
ajbmeb-989	59	43	2004	2004	NUM
ajbmeb-989	59	44	)	)	PUNCT
ajbmeb-989	59	45	al	al	PROPN
ajbmeb-989	59	46	-	-	PUNCT
ajbmeb-989	59	47	sheikhly	sheikhly	ADV
ajbmeb-989	59	48	(	(	PUNCT
ajbmeb-989	59	49	2003	2003	NUM
ajbmeb-989	59	50	)	)	PUNCT
ajbmeb-989	59	51	states	state	VERB
ajbmeb-989	59	52	that	that	SCONJ
ajbmeb-989	59	53	training	train	VERB
ajbmeb-989	59	54	an	an	DET
ajbmeb-989	59	55	ann	ann	NOUN
ajbmeb-989	59	56	using	use	VERB
ajbmeb-989	59	57	backpropagation	backpropagation	NOUN
ajbmeb-989	59	58	involves	involve	VERB
ajbmeb-989	59	59	three	three	NUM
ajbmeb-989	59	60	stages	stage	NOUN
ajbmeb-989	59	61	,	,	PUNCT
ajbmeb-989	59	62	as	as	SCONJ
ajbmeb-989	59	63	follows	follow	VERB
ajbmeb-989	59	64	:	:	PUNCT
ajbmeb-989	59	65	1	1	X
ajbmeb-989	59	66	.	.	PUNCT
ajbmeb-989	59	67	forward	forward	ADJ
ajbmeb-989	59	68	propagation	propagation	NOUN
ajbmeb-989	59	69	of	of	ADP
ajbmeb-989	59	70	error	error	NOUN
ajbmeb-989	59	71	.	.	PUNCT
ajbmeb-989	60	1	2	2	X
ajbmeb-989	60	2	.	.	X
ajbmeb-989	60	3	backward	backward	ADJ
ajbmeb-989	60	4	propagation	propagation	NOUN
ajbmeb-989	60	5	of	of	ADP
ajbmeb-989	60	6	error	error	NOUN
ajbmeb-989	60	7	.	.	PUNCT
ajbmeb-989	61	1	3	3	X
ajbmeb-989	61	2	.	.	X
ajbmeb-989	61	3	weight	weight	NOUN
ajbmeb-989	61	4	tuning	tuning	NOUN
ajbmeb-989	61	5	.	.	PUNCT
ajbmeb-989	62	1	american	american	PROPN
ajbmeb-989	62	2	journal	journal	PROPN
ajbmeb-989	62	3	of	of	ADP
ajbmeb-989	62	4	business	business	NOUN
ajbmeb-989	62	5	management	management	NOUN
ajbmeb-989	62	6	,	,	PUNCT
ajbmeb-989	62	7	economics	economic	NOUN
ajbmeb-989	62	8	and	and	CCONJ
ajbmeb-989	62	9	banking	banking	NOUN
ajbmeb-989	62	10	volume	volume	NOUN
ajbmeb-989	62	11	13	13	NUM
ajbmeb-989	62	12	june	june	PROPN
ajbmeb-989	62	13	,	,	PUNCT
ajbmeb-989	62	14	2023	2023	NUM
ajbmeb-989	62	15	p	p	NOUN
ajbmeb-989	62	16	a	a	PRON
ajbmeb-989	62	17	g	g	NOUN
ajbmeb-989	62	18	e	e	NOUN
ajbmeb-989	62	19	|	|	ADV
ajbmeb-989	62	20	78	78	NUM
ajbmeb-989	62	21	www.americanjournal.org	www.americanjournal.org	NOUN
ajbmeb-989	62	22	during	during	ADP
ajbmeb-989	62	23	the	the	DET
ajbmeb-989	62	24	forward	forward	ADJ
ajbmeb-989	62	25	propagation	propagation	NOUN
ajbmeb-989	62	26	stage	stage	NOUN
ajbmeb-989	62	27	,	,	PUNCT
ajbmeb-989	62	28	the	the	DET
ajbmeb-989	62	29	input	input	NOUN
ajbmeb-989	62	30	signal	signal	NOUN
ajbmeb-989	62	31	is	be	AUX
ajbmeb-989	62	32	transmitted	transmit	VERB
ajbmeb-989	62	33	to	to	ADP
ajbmeb-989	62	34	each	each	DET
ajbmeb-989	62	35	node	node	NOUN
ajbmeb-989	62	36	in	in	ADP
ajbmeb-989	62	37	the	the	DET
ajbmeb-989	62	38	hidden	hide	VERB
ajbmeb-989	62	39	layer	layer	NOUN
ajbmeb-989	62	40	,	,	PUNCT
ajbmeb-989	62	41	and	and	CCONJ
ajbmeb-989	62	42	the	the	DET
ajbmeb-989	62	43	activation	activation	NOUN
ajbmeb-989	62	44	value	value	NOUN
ajbmeb-989	62	45	for	for	ADP
ajbmeb-989	62	46	each	each	DET
ajbmeb-989	62	47	node	node	NOUN
ajbmeb-989	62	48	in	in	ADP
ajbmeb-989	62	49	the	the	DET
ajbmeb-989	62	50	hidden	hide	VERB
ajbmeb-989	62	51	layer	layer	NOUN
ajbmeb-989	62	52	is	be	AUX
ajbmeb-989	62	53	calculated	calculate	VERB
ajbmeb-989	62	54	based	base	VERB
ajbmeb-989	62	55	on	on	ADP
ajbmeb-989	62	56	this	this	DET
ajbmeb-989	62	57	signal	signal	NOUN
ajbmeb-989	62	58	.	.	PUNCT
ajbmeb-989	63	1	then	then	ADV
ajbmeb-989	63	2	,	,	PUNCT
ajbmeb-989	63	3	these	these	DET
ajbmeb-989	63	4	nodes	node	NOUN
ajbmeb-989	63	5	send	send	VERB
ajbmeb-989	63	6	their	their	PRON
ajbmeb-989	63	7	signals	signal	NOUN
ajbmeb-989	63	8	to	to	ADP
ajbmeb-989	63	9	each	each	DET
ajbmeb-989	63	10	node	node	NOUN
ajbmeb-989	63	11	in	in	ADP
ajbmeb-989	63	12	the	the	DET
ajbmeb-989	63	13	output	output	NOUN
ajbmeb-989	63	14	layer	layer	NOUN
ajbmeb-989	63	15	,	,	PUNCT
ajbmeb-989	63	16	and	and	CCONJ
ajbmeb-989	63	17	the	the	DET
ajbmeb-989	63	18	activation	activation	NOUN
ajbmeb-989	63	19	value	value	NOUN
ajbmeb-989	63	20	for	for	ADP
ajbmeb-989	63	21	each	each	DET
ajbmeb-989	63	22	node	node	NOUN
ajbmeb-989	63	23	in	in	ADP
ajbmeb-989	63	24	the	the	DET
ajbmeb-989	63	25	output	output	NOUN
ajbmeb-989	63	26	layer	layer	NOUN
ajbmeb-989	63	27	is	be	AUX
ajbmeb-989	63	28	calculated	calculate	VERB
ajbmeb-989	63	29	to	to	PART
ajbmeb-989	63	30	form	form	VERB
ajbmeb-989	63	31	the	the	DET
ajbmeb-989	63	32	network	network	NOUN
ajbmeb-989	63	33	's	's	PART
ajbmeb-989	63	34	response	response	NOUN
ajbmeb-989	63	35	to	to	ADP
ajbmeb-989	63	36	the	the	DET
ajbmeb-989	63	37	given	give	VERB
ajbmeb-989	63	38	input	input	NOUN
ajbmeb-989	63	39	sample	sample	NOUN
ajbmeb-989	63	40	.	.	PUNCT
ajbmeb-989	64	1	during	during	ADP
ajbmeb-989	64	2	the	the	DET
ajbmeb-989	64	3	training	training	NOUN
ajbmeb-989	64	4	stage	stage	NOUN
ajbmeb-989	64	5	,	,	PUNCT
ajbmeb-989	64	6	each	each	DET
ajbmeb-989	64	7	node	node	NOUN
ajbmeb-989	64	8	in	in	ADP
ajbmeb-989	64	9	the	the	DET
ajbmeb-989	64	10	output	output	NOUN
ajbmeb-989	64	11	layer	layer	NOUN
ajbmeb-989	64	12	compares	compare	VERB
ajbmeb-989	64	13	its	its	PRON
ajbmeb-989	64	14	calculated	calculated	ADJ
ajbmeb-989	64	15	activation	activation	NOUN
ajbmeb-989	64	16	with	with	ADP
ajbmeb-989	64	17	the	the	DET
ajbmeb-989	64	18	actual	actual	ADJ
ajbmeb-989	64	19	output	output	NOUN
ajbmeb-989	64	20	value	value	NOUN
ajbmeb-989	64	21	to	to	PART
ajbmeb-989	64	22	determine	determine	VERB
ajbmeb-989	64	23	the	the	DET
ajbmeb-989	64	24	error	error	NOUN
ajbmeb-989	64	25	value	value	NOUN
ajbmeb-989	64	26	for	for	ADP
ajbmeb-989	64	27	that	that	DET
ajbmeb-989	64	28	node	node	NOUN
ajbmeb-989	64	29	.	.	PUNCT
ajbmeb-989	65	1	based	base	VERB
ajbmeb-989	65	2	on	on	ADP
ajbmeb-989	65	3	this	this	DET
ajbmeb-989	65	4	error	error	NOUN
ajbmeb-989	65	5	value	value	NOUN
ajbmeb-989	65	6	,	,	PUNCT
ajbmeb-989	65	7	the	the	DET
ajbmeb-989	65	8	error	error	NOUN
ajbmeb-989	65	9	correction	correction	NOUN
ajbmeb-989	65	10	factor	factor	NOUN
ajbmeb-989	65	11	δk	δk	PROPN
ajbmeb-989	65	12	is	be	AUX
ajbmeb-989	65	13	calculated	calculate	VERB
ajbmeb-989	65	14	.	.	PUNCT
ajbmeb-989	66	1	the	the	DET
ajbmeb-989	66	2	error	error	NOUN
ajbmeb-989	66	3	correction	correction	NOUN
ajbmeb-989	66	4	factor	factor	NOUN
ajbmeb-989	66	5	δk	δk	PROPN
ajbmeb-989	66	6	is	be	AUX
ajbmeb-989	66	7	used	use	VERB
ajbmeb-989	66	8	to	to	PART
ajbmeb-989	66	9	distribute	distribute	VERB
ajbmeb-989	66	10	the	the	DET
ajbmeb-989	66	11	error	error	NOUN
ajbmeb-989	66	12	among	among	ADP
ajbmeb-989	66	13	the	the	DET
ajbmeb-989	66	14	nodes	node	NOUN
ajbmeb-989	66	15	in	in	ADP
ajbmeb-989	66	16	the	the	DET
ajbmeb-989	66	17	output	output	NOUN
ajbmeb-989	66	18	layer	layer	NOUN
ajbmeb-989	66	19	and	and	CCONJ
ajbmeb-989	66	20	is	be	AUX
ajbmeb-989	66	21	then	then	ADV
ajbmeb-989	66	22	sent	send	VERB
ajbmeb-989	66	23	back	back	ADV
ajbmeb-989	66	24	to	to	ADP
ajbmeb-989	66	25	each	each	DET
ajbmeb-989	66	26	node	node	NOUN
ajbmeb-989	66	27	in	in	ADP
ajbmeb-989	66	28	the	the	DET
ajbmeb-989	66	29	previous	previous	ADJ
ajbmeb-989	66	30	layer	layer	NOUN
ajbmeb-989	66	31	.	.	PUNCT
ajbmeb-989	67	1	this	this	DET
ajbmeb-989	67	2	factor	factor	NOUN
ajbmeb-989	67	3	is	be	AUX
ajbmeb-989	67	4	also	also	ADV
ajbmeb-989	67	5	used	use	VERB
ajbmeb-989	67	6	to	to	PART
ajbmeb-989	67	7	update	update	VERB
ajbmeb-989	67	8	the	the	DET
ajbmeb-989	67	9	weights	weight	NOUN
ajbmeb-989	67	10	in	in	ADP
ajbmeb-989	67	11	the	the	DET
ajbmeb-989	67	12	output	output	NOUN
ajbmeb-989	67	13	and	and	CCONJ
ajbmeb-989	67	14	hidden	hidden	ADJ
ajbmeb-989	67	15	layers	layer	NOUN
ajbmeb-989	67	16	.	.	PUNCT
ajbmeb-989	68	1	similarly	similarly	ADV
ajbmeb-989	68	2	,	,	PUNCT
ajbmeb-989	68	3	the	the	DET
ajbmeb-989	68	4	error	error	NOUN
ajbmeb-989	68	5	correction	correction	NOUN
ajbmeb-989	68	6	factor	factor	NOUN
ajbmeb-989	68	7	δj	δj	NOUN
ajbmeb-989	68	8	is	be	AUX
ajbmeb-989	68	9	calculated	calculate	VERB
ajbmeb-989	68	10	for	for	ADP
ajbmeb-989	68	11	each	each	DET
ajbmeb-989	68	12	node	node	NOUN
ajbmeb-989	68	13	in	in	ADP
ajbmeb-989	68	14	the	the	DET
ajbmeb-989	68	15	hidden	hide	VERB
ajbmeb-989	68	16	layer	layer	NOUN
ajbmeb-989	68	17	,	,	PUNCT
ajbmeb-989	68	18	and	and	CCONJ
ajbmeb-989	68	19	this	this	DET
ajbmeb-989	68	20	factor	factor	NOUN
ajbmeb-989	68	21	is	be	AUX
ajbmeb-989	68	22	used	use	VERB
ajbmeb-989	68	23	to	to	PART
ajbmeb-989	68	24	update	update	VERB
ajbmeb-989	68	25	the	the	DET
ajbmeb-989	68	26	weights	weight	NOUN
ajbmeb-989	68	27	in	in	ADP
ajbmeb-989	68	28	the	the	DET
ajbmeb-989	68	29	hidden	hide	VERB
ajbmeb-989	68	30	and	and	CCONJ
ajbmeb-989	68	31	output	output	NOUN
ajbmeb-989	68	32	layers	layer	NOUN
ajbmeb-989	68	33	.	.	PUNCT
ajbmeb-989	69	1	after	after	ADP
ajbmeb-989	69	2	determining	determine	VERB
ajbmeb-989	69	3	all	all	DET
ajbmeb-989	69	4	the	the	DET
ajbmeb-989	69	5	error	error	NOUN
ajbmeb-989	69	6	correction	correction	NOUN
ajbmeb-989	69	7	factors	factor	NOUN
ajbmeb-989	69	8	δ	δ	PROPN
ajbmeb-989	69	9	,	,	PUNCT
ajbmeb-989	69	10	the	the	DET
ajbmeb-989	69	11	weights	weight	NOUN
ajbmeb-989	69	12	for	for	ADP
ajbmeb-989	69	13	all	all	DET
ajbmeb-989	69	14	layers	layer	NOUN
ajbmeb-989	69	15	are	be	AUX
ajbmeb-989	69	16	adjusted	adjust	VERB
ajbmeb-989	69	17	simultaneously	simultaneously	ADV
ajbmeb-989	69	18	.	.	PUNCT
ajbmeb-989	70	1	the	the	DET
ajbmeb-989	70	2	algorithm	algorithm	NOUN
ajbmeb-989	70	3	or	or	CCONJ
ajbmeb-989	70	4	methodology	methodology	NOUN
ajbmeb-989	70	5	for	for	ADP
ajbmeb-989	70	6	this	this	DET
ajbmeb-989	70	7	network	network	NOUN
ajbmeb-989	70	8	can	can	AUX
ajbmeb-989	70	9	be	be	AUX
ajbmeb-989	70	10	summarized	summarize	VERB
ajbmeb-989	70	11	in	in	ADP
ajbmeb-989	70	12	the	the	DET
ajbmeb-989	70	13	following	follow	VERB
ajbmeb-989	70	14	steps	step	NOUN
ajbmeb-989	70	15	:	:	PUNCT
ajbmeb-989	70	16	1	1	X
ajbmeb-989	70	17	.	.	X
ajbmeb-989	70	18	generate	generate	VERB
ajbmeb-989	70	19	initial	initial	ADJ
ajbmeb-989	70	20	weight	weight	NOUN
ajbmeb-989	70	21	values	value	NOUN
ajbmeb-989	70	22	from	from	ADP
ajbmeb-989	70	23	a	a	DET
ajbmeb-989	70	24	statistical	statistical	ADJ
ajbmeb-989	70	25	distribution	distribution	NOUN
ajbmeb-989	70	26	.	.	PUNCT
ajbmeb-989	71	1	2	2	X
ajbmeb-989	71	2	.	.	X
ajbmeb-989	71	3	each	each	DET
ajbmeb-989	71	4	node	node	NOUN
ajbmeb-989	71	5	in	in	ADP
ajbmeb-989	71	6	the	the	DET
ajbmeb-989	71	7	input	input	NOUN
ajbmeb-989	71	8	layer	layer	NOUN
ajbmeb-989	71	9	receives	receive	VERB
ajbmeb-989	71	10	input	input	NOUN
ajbmeb-989	71	11	signals	signal	NOUN
ajbmeb-989	71	12	and	and	CCONJ
ajbmeb-989	71	13	sends	send	VERB
ajbmeb-989	71	14	them	they	PRON
ajbmeb-989	71	15	to	to	ADP
ajbmeb-989	71	16	all	all	DET
ajbmeb-989	71	17	nodes	node	NOUN
ajbmeb-989	71	18	in	in	ADP
ajbmeb-989	71	19	the	the	DET
ajbmeb-989	71	20	hidden	hide	VERB
ajbmeb-989	71	21	layer	layer	NOUN
ajbmeb-989	71	22	.	.	PUNCT
ajbmeb-989	72	1	3	3	X
ajbmeb-989	72	2	.	.	X
ajbmeb-989	72	3	each	each	DET
ajbmeb-989	72	4	node	node	NOUN
ajbmeb-989	72	5	in	in	ADP
ajbmeb-989	72	6	the	the	DET
ajbmeb-989	72	7	hidden	hide	VERB
ajbmeb-989	72	8	layer	layer	NOUN
ajbmeb-989	72	9	aggregates	aggregate	NOUN
ajbmeb-989	72	10	weighted	weight	VERB
ajbmeb-989	72	11	input	input	NOUN
ajbmeb-989	72	12	signals	signal	NOUN
ajbmeb-989	72	13	according	accord	VERB
ajbmeb-989	72	14	to	to	ADP
ajbmeb-989	72	15	the	the	DET
ajbmeb-989	72	16	equation	equation	NOUN
ajbmeb-989	72	17	:	:	PUNCT
ajbmeb-989	72	18	hj	hj	PROPN
ajbmeb-989	72	19	=	=	SYM
ajbmeb-989	72	20	2	2	PROPN
ajbmeb-989	72	21	/	/	SYM
ajbmeb-989	72	22	(	(	PUNCT
ajbmeb-989	72	23	1	1	NUM
ajbmeb-989	72	24	+	+	NUM
ajbmeb-989	72	25	exp	exp	NOUN
ajbmeb-989	72	26	(	(	PUNCT
ajbmeb-989	72	27	xiwij	xiwij	PROPN
ajbmeb-989	72	28	)	)	PUNCT
ajbmeb-989	72	29	)	)	PUNCT
ajbmeb-989	72	30	–	–	PUNCT
ajbmeb-989	72	31	1	1	NUM
ajbmeb-989	72	32	…	…	SYM
ajbmeb-989	72	33	……	……	NOUN
ajbmeb-989	72	34	(	(	PUNCT
ajbmeb-989	72	35	9	9	NUM
ajbmeb-989	72	36	)	)	SYM
ajbmeb-989	72	37	4	4	NUM
ajbmeb-989	72	38	.	.	PUNCT
ajbmeb-989	72	39	applying	apply	VERB
ajbmeb-989	72	40	the	the	DET
ajbmeb-989	72	41	activation	activation	NOUN
ajbmeb-989	72	42	function	function	NOUN
ajbmeb-989	72	43	to	to	PART
ajbmeb-989	72	44	estimate	estimate	VERB
ajbmeb-989	72	45	the	the	DET
ajbmeb-989	72	46	outputs	output	NOUN
ajbmeb-989	72	47	of	of	ADP
ajbmeb-989	72	48	the	the	DET
ajbmeb-989	72	49	hidden	hide	VERB
ajbmeb-989	72	50	layer	layer	NOUN
ajbmeb-989	72	51	,	,	PUNCT
ajbmeb-989	72	52	and	and	CCONJ
ajbmeb-989	72	53	sending	send	VERB
ajbmeb-989	72	54	the	the	DET
ajbmeb-989	72	55	activation	activation	NOUN
ajbmeb-989	72	56	values	value	NOUN
ajbmeb-989	72	57	to	to	ADP
ajbmeb-989	72	58	all	all	DET
ajbmeb-989	72	59	nodes	node	NOUN
ajbmeb-989	72	60	in	in	ADP
ajbmeb-989	72	61	the	the	DET
ajbmeb-989	72	62	output	output	NOUN
ajbmeb-989	72	63	layer	layer	NOUN
ajbmeb-989	72	64	.	.	PUNCT
ajbmeb-989	73	1	5	5	X
ajbmeb-989	73	2	.	.	X
ajbmeb-989	73	3	each	each	DET
ajbmeb-989	73	4	node	node	NOUN
ajbmeb-989	73	5	in	in	ADP
ajbmeb-989	73	6	the	the	DET
ajbmeb-989	73	7	output	output	NOUN
ajbmeb-989	73	8	layer	layer	NOUN
ajbmeb-989	73	9	aggregates	aggregate	NOUN
ajbmeb-989	73	10	weighted	weight	VERB
ajbmeb-989	73	11	input	input	NOUN
ajbmeb-989	73	12	signals	signal	NOUN
ajbmeb-989	73	13	according	accord	VERB
ajbmeb-989	73	14	to	to	ADP
ajbmeb-989	73	15	the	the	DET
ajbmeb-989	73	16	equation	equation	NOUN
ajbmeb-989	73	17	:	:	PUNCT
ajbmeb-989	73	18	)	)	PUNCT
ajbmeb-989	73	19	10(	10(	NUM
ajbmeb-989	73	20	…	…	SYM
ajbmeb-989	73	21	…	…	PUNCT
ajbmeb-989	73	22	…	…	PUNCT
ajbmeb-989	73	23	…	…	SYM
ajbmeb-989	73	24	1	1	NUM
ajbmeb-989	73	25	–	–	PUNCT
ajbmeb-989	73	26	)	)	PUNCT
ajbmeb-989	73	27	)	)	PUNCT
ajbmeb-989	74	1	ikwih	ikwih	NOUN
ajbmeb-989	74	2	j	j	PROPN
ajbmeb-989	74	3	=	=	PROPN
ajbmeb-989	74	4	2	2	NUM
ajbmeb-989	74	5	/	/	SYM
ajbmeb-989	74	6	(	(	PUNCT
ajbmeb-989	74	7	1	1	NUM
ajbmeb-989	74	8	+	+	NUM
ajbmeb-989	74	9	exp	exp	NOUN
ajbmeb-989	74	10	(	(	PUNCT
ajbmeb-989	74	11	ky	ky	PROPN
ajbmeb-989	74	12	6	6	NUM
ajbmeb-989	74	13	.	.	PUNCT
ajbmeb-989	74	14	calculating	calculate	VERB
ajbmeb-989	74	15	the	the	DET
ajbmeb-989	74	16	error	error	NOUN
ajbmeb-989	74	17	for	for	ADP
ajbmeb-989	74	18	each	each	DET
ajbmeb-989	74	19	output	output	NOUN
ajbmeb-989	74	20	node	node	NOUN
ajbmeb-989	74	21	by	by	ADP
ajbmeb-989	74	22	finding	find	VERB
ajbmeb-989	74	23	the	the	DET
ajbmeb-989	74	24	difference	difference	NOUN
ajbmeb-989	74	25	between	between	ADP
ajbmeb-989	74	26	the	the	DET
ajbmeb-989	74	27	activation	activation	NOUN
ajbmeb-989	74	28	value	value	NOUN
ajbmeb-989	74	29	y_k	y_k	PROPN
ajbmeb-989	74	30	and	and	CCONJ
ajbmeb-989	74	31	the	the	DET
ajbmeb-989	74	32	target	target	NOUN
ajbmeb-989	74	33	value	value	NOUN
ajbmeb-989	74	34	t_k	t_k	X
ajbmeb-989	74	35	,	,	PUNCT
ajbmeb-989	74	36	as	as	SCONJ
ajbmeb-989	74	37	follows	follow	VERB
ajbmeb-989	74	38	:	:	PUNCT
ajbmeb-989	74	39	)	)	PUNCT
ajbmeb-989	74	40	11	11	NUM
ajbmeb-989	74	41	(	(	PUNCT
ajbmeb-989	74	42	…	…	PUNCT
ajbmeb-989	74	43	……	……	X
ajbmeb-989	74	44	ky	ky	NOUN
ajbmeb-989	74	45	–	–	PUNCT
ajbmeb-989	74	46	k=	k=	X
ajbmeb-989	74	47	t	t	PROPN
ajbmeb-989	74	48	ke	ke	PROPN
ajbmeb-989	74	49	the	the	DET
ajbmeb-989	74	50	output	output	NOUN
ajbmeb-989	74	51	of	of	ADP
ajbmeb-989	74	52	the	the	DET
ajbmeb-989	74	53	neural	neural	ADJ
ajbmeb-989	74	54	network	network	NOUN
ajbmeb-989	74	55	is	be	AUX
ajbmeb-989	74	56	compared	compare	VERB
ajbmeb-989	74	57	with	with	ADP
ajbmeb-989	74	58	the	the	DET
ajbmeb-989	74	59	real	real	ADJ
ajbmeb-989	74	60	values	value	NOUN
ajbmeb-989	74	61	to	to	PART
ajbmeb-989	74	62	estimate	estimate	VERB
ajbmeb-989	74	63	the	the	DET
ajbmeb-989	74	64	error	error	NOUN
ajbmeb-989	74	65	according	accord	VERB
ajbmeb-989	74	66	to	to	ADP
ajbmeb-989	74	67	the	the	DET
ajbmeb-989	74	68	equation	equation	NOUN
ajbmeb-989	74	69	:	:	PUNCT
ajbmeb-989	74	70	)	)	PUNCT
ajbmeb-989	74	71	12	12	NUM
ajbmeb-989	74	72	(	(	PUNCT
ajbmeb-989	74	73	…	…	PUNCT
ajbmeb-989	74	74	…	…	PUNCT
ajbmeb-989	74	75	..	..	PUNCT
ajbmeb-989	74	76	)	)	PUNCT
ajbmeb-989	74	77	.	.	PUNCT
ajbmeb-989	75	1	f(v	f(v	NOUN
ajbmeb-989	75	2	)	)	PUNCT
ajbmeb-989	76	1	ky	ky	PROPN
ajbmeb-989	76	2	-	-	PUNCT
ajbmeb-989	76	3	k=	k=	PROPN
ajbmeb-989	76	4	(	(	PUNCT
ajbmeb-989	76	5	t	t	PROPN
ajbmeb-989	76	6	k	k	PROPN
ajbmeb-989	76	7	where	where	SCONJ
ajbmeb-989	76	8	f(v	f(v	NOUN
ajbmeb-989	76	9	)	)	PUNCT
ajbmeb-989	76	10	represents	represent	VERB
ajbmeb-989	76	11	the	the	DET
ajbmeb-989	76	12	logistic	logistic	ADJ
ajbmeb-989	76	13	or	or	CCONJ
ajbmeb-989	76	14	tansig	tansig	NOUN
ajbmeb-989	76	15	function	function	NOUN
ajbmeb-989	76	16	when	when	SCONJ
ajbmeb-989	76	17	the	the	DET
ajbmeb-989	76	18	output	output	NOUN
ajbmeb-989	76	19	node	node	NOUN
ajbmeb-989	76	20	is	be	AUX
ajbmeb-989	76	21	nonlinear	nonlinear	ADJ
ajbmeb-989	76	22	and	and	CCONJ
ajbmeb-989	76	23	equals	equal	VERB
ajbmeb-989	76	24	1	1	NUM
ajbmeb-989	76	25	when	when	SCONJ
ajbmeb-989	76	26	the	the	DET
ajbmeb-989	76	27	function	function	NOUN
ajbmeb-989	76	28	is	be	AUX
ajbmeb-989	76	29	linear	linear	ADJ
ajbmeb-989	76	30	.	.	PUNCT
ajbmeb-989	77	1	then	then	ADV
ajbmeb-989	77	2	,	,	PUNCT
ajbmeb-989	77	3	calculate	calculate	VERB
ajbmeb-989	77	4	the	the	DET
ajbmeb-989	77	5	change	change	NOUN
ajbmeb-989	77	6	in	in	ADP
ajbmeb-989	77	7	weight	weight	NOUN
ajbmeb-989	77	8	wjk	wjk	PRON
ajbmeb-989	77	9	using	use	VERB
ajbmeb-989	77	10	the	the	DET
ajbmeb-989	77	11	following	follow	VERB
ajbmeb-989	77	12	equation	equation	NOUN
ajbmeb-989	77	13	:	:	PUNCT
ajbmeb-989	77	14	wjk	wjk	PROPN
ajbmeb-989	78	1	=	=	SYM
ajbmeb-989	78	2			NOUN
ajbmeb-989	78	3	.	.	PUNCT
ajbmeb-989	79	1	k	k	PROPN
ajbmeb-989	79	2	.	.	PUNCT
ajbmeb-989	80	1	hj	hj	PROPN
ajbmeb-989	80	2	........	........	PUNCT
ajbmeb-989	81	1	(	(	PUNCT
ajbmeb-989	81	2	13	13	NUM
ajbmeb-989	81	3	)	)	PUNCT
ajbmeb-989	81	4	7	7	NUM
ajbmeb-989	81	5	.	.	PUNCT
ajbmeb-989	82	1	each	each	DET
ajbmeb-989	82	2	node	node	NOUN
ajbmeb-989	82	3	in	in	ADP
ajbmeb-989	82	4	the	the	DET
ajbmeb-989	82	5	hidden	hide	VERB
ajbmeb-989	82	6	layer	layer	NOUN
ajbmeb-989	82	7	aggregates	aggregate	NOUN
ajbmeb-989	82	8	weighted	weight	VERB
ajbmeb-989	82	9	error	error	NOUN
ajbmeb-989	82	10	signals	signal	NOUN
ajbmeb-989	82	11	from	from	ADP
ajbmeb-989	82	12	the	the	DET
ajbmeb-989	82	13	output	output	NOUN
ajbmeb-989	82	14	layer	layer	NOUN
ajbmeb-989	82	15	according	accord	VERB
ajbmeb-989	82	16	to	to	ADP
ajbmeb-989	82	17	the	the	DET
ajbmeb-989	82	18	equation	equation	NOUN
ajbmeb-989	82	19	:	:	PUNCT
ajbmeb-989	82	20	)	)	PUNCT
ajbmeb-989	82	21	14	14	NUM
ajbmeb-989	82	22	(	(	PUNCT
ajbmeb-989	82	23	…	…	PUNCT
ajbmeb-989	82	24	…	…	PUNCT
ajbmeb-989	82	25	…	…	PUNCT
ajbmeb-989	82	26	.	.	PUNCT
ajbmeb-989	83	1	jkwk	jkwk	PROPN
ajbmeb-989	84	1	j	j	PROPN
ajbmeb-989	85	1	=	=	PROPN
ajbmeb-989	85	2	j	j	NOUN
ajbmeb-989	85	3	then	then	ADV
ajbmeb-989	85	4	this	this	DET
ajbmeb-989	85	5	value	value	NOUN
ajbmeb-989	85	6	is	be	AUX
ajbmeb-989	85	7	multiplied	multiply	VERB
ajbmeb-989	85	8	by	by	ADP
ajbmeb-989	85	9	the	the	DET
ajbmeb-989	85	10	activation	activation	NOUN
ajbmeb-989	85	11	function	function	VERB
ajbmeb-989	85	12	to	to	PART
ajbmeb-989	85	13	calculate	calculate	VERB
ajbmeb-989	85	14	j	j	SYM
ajbmeb-989	85	15	,	,	PUNCT
ajbmeb-989	85	16	after	after	ADP
ajbmeb-989	85	17	which	which	PRON
ajbmeb-989	85	18	the	the	DET
ajbmeb-989	85	19	change	change	NOUN
ajbmeb-989	85	20	in	in	ADP
ajbmeb-989	85	21	the	the	DET
ajbmeb-989	85	22	magnitude	magnitude	NOUN
ajbmeb-989	85	23	of	of	ADP
ajbmeb-989	85	24	the	the	DET
ajbmeb-989	85	25	error	error	NOUN
ajbmeb-989	85	26	vij	vij	NOUN
ajbmeb-989	85	27	is	be	AUX
ajbmeb-989	85	28	calculated	calculate	VERB
ajbmeb-989	85	29	and	and	CCONJ
ajbmeb-989	85	30	according	accord	VERB
ajbmeb-989	85	31	to	to	ADP
ajbmeb-989	85	32	the	the	DET
ajbmeb-989	85	33	equation	equation	NOUN
ajbmeb-989	85	34	:	:	PUNCT
ajbmeb-989	85	35	vjj	vjj	NOUN
ajbmeb-989	85	36	=	=	SYM
ajbmeb-989	85	37			X
ajbmeb-989	85	38	.	.	PUNCT
ajbmeb-989	85	39	j	j	X
ajbmeb-989	85	40	.	.	PUNCT
ajbmeb-989	86	1	xi	xi	X
ajbmeb-989	86	2	…	…	PUNCT
ajbmeb-989	86	3	……	……	X
ajbmeb-989	86	4	(	(	PUNCT
ajbmeb-989	86	5	15	15	NUM
ajbmeb-989	86	6	)	)	PUNCT
ajbmeb-989	86	7	8	8	NUM
ajbmeb-989	86	8	.	.	PUNCT
ajbmeb-989	87	1	update	update	VERB
ajbmeb-989	87	2	the	the	DET
ajbmeb-989	87	3	weights	weight	NOUN
ajbmeb-989	87	4	of	of	ADP
ajbmeb-989	87	5	each	each	DET
ajbmeb-989	87	6	node	node	NOUN
ajbmeb-989	87	7	in	in	ADP
ajbmeb-989	87	8	the	the	DET
ajbmeb-989	87	9	output	output	NOUN
ajbmeb-989	87	10	layer	layer	NOUN
ajbmeb-989	87	11	,	,	PUNCT
ajbmeb-989	87	12	according	accord	VERB
ajbmeb-989	87	13	to	to	ADP
ajbmeb-989	87	14	the	the	DET
ajbmeb-989	87	15	equation	equation	NOUN
ajbmeb-989	87	16	:	:	PUNCT
ajbmeb-989	87	17	american	american	PROPN
ajbmeb-989	87	18	journal	journal	PROPN
ajbmeb-989	87	19	of	of	ADP
ajbmeb-989	87	20	business	business	NOUN
ajbmeb-989	87	21	management	management	NOUN
ajbmeb-989	87	22	,	,	PUNCT
ajbmeb-989	87	23	economics	economic	NOUN
ajbmeb-989	87	24	and	and	CCONJ
ajbmeb-989	87	25	banking	banking	NOUN
ajbmeb-989	87	26	volume	volume	NOUN
ajbmeb-989	87	27	13	13	NUM
ajbmeb-989	87	28	june	june	PROPN
ajbmeb-989	87	29	,	,	PUNCT
ajbmeb-989	87	30	2023	2023	NUM
ajbmeb-989	87	31	p	p	NOUN
ajbmeb-989	87	32	a	a	DET
ajbmeb-989	87	33	g	g	NOUN
ajbmeb-989	87	34	e	e	NOUN
ajbmeb-989	87	35	|	|	NOUN
ajbmeb-989	87	36	79	79	NUM
ajbmeb-989	87	37	www.americanjournal.org	www.americanjournal.org	NOUN
ajbmeb-989	87	38	)	)	PUNCT
ajbmeb-989	87	39	16	16	NUM
ajbmeb-989	87	40	(	(	PUNCT
ajbmeb-989	87	41	…	…	PUNCT
ajbmeb-989	87	42	…	…	PUNCT
ajbmeb-989	87	43	..	..	PUNCT
ajbmeb-989	88	1	jkw(old	jkw(old	NOUN
ajbmeb-989	88	2	)	)	PUNCT
ajbmeb-989	88	3	+	+	SYM
ajbmeb-989	88	4	jk(new	jk(new	NOUN
ajbmeb-989	88	5	)	)	PUNCT
ajbmeb-989	89	1	=	=	PUNCT
ajbmeb-989	90	1	w	w	X
ajbmeb-989	90	2	jkw	jkw	INTJ
ajbmeb-989	90	3	then	then	ADV
ajbmeb-989	90	4	the	the	DET
ajbmeb-989	90	5	weights	weight	NOUN
ajbmeb-989	90	6	for	for	ADP
ajbmeb-989	90	7	each	each	DET
ajbmeb-989	90	8	node	node	NOUN
ajbmeb-989	90	9	is	be	AUX
ajbmeb-989	90	10	updated	update	VERB
ajbmeb-989	90	11	in	in	ADP
ajbmeb-989	90	12	the	the	DET
ajbmeb-989	90	13	hidden	hide	VERB
ajbmeb-989	90	14	layer	layer	NOUN
ajbmeb-989	90	15	,	,	PUNCT
ajbmeb-989	90	16	according	accord	VERB
ajbmeb-989	90	17	to	to	ADP
ajbmeb-989	90	18	the	the	DET
ajbmeb-989	90	19	equation	equation	NOUN
ajbmeb-989	90	20	:	:	PUNCT
ajbmeb-989	90	21	)	)	PUNCT
ajbmeb-989	90	22	17	17	NUM
ajbmeb-989	90	23	(	(	PUNCT
ajbmeb-989	90	24	…	…	PUNCT
ajbmeb-989	90	25	…	…	PUNCT
ajbmeb-989	90	26	…	…	PUNCT
ajbmeb-989	90	27	ijv(old	ijv(old	ADJ
ajbmeb-989	90	28	)	)	PUNCT
ajbmeb-989	90	29	+	+	CCONJ
ajbmeb-989	90	30	ij(new	ij(new	NOUN
ajbmeb-989	90	31	)	)	PUNCT
ajbmeb-989	90	32	=	=	SYM
ajbmeb-989	90	33	v	v	ADP
ajbmeb-989	90	34	ijv	ijv	PROPN
ajbmeb-989	90	35	9	9	NUM
ajbmeb-989	90	36	.	.	PUNCT
ajbmeb-989	91	1	the	the	DET
ajbmeb-989	91	2	network	network	NOUN
ajbmeb-989	91	3	continues	continue	VERB
ajbmeb-989	91	4	to	to	PART
ajbmeb-989	91	5	update	update	VERB
ajbmeb-989	91	6	the	the	DET
ajbmeb-989	91	7	weights	weight	NOUN
ajbmeb-989	91	8	"	"	PUNCT
ajbmeb-989	91	9	i.e.	i.e.	X
ajbmeb-989	91	10	the	the	DET
ajbmeb-989	91	11	process	process	NOUN
ajbmeb-989	91	12	of	of	ADP
ajbmeb-989	91	13	learning	learning	NOUN
ajbmeb-989	91	14	and	and	CCONJ
ajbmeb-989	91	15	training	training	NOUN
ajbmeb-989	91	16	"	"	PUNCT
ajbmeb-989	91	17	until	until	SCONJ
ajbmeb-989	91	18	the	the	DET
ajbmeb-989	91	19	optimal	optimal	ADJ
ajbmeb-989	91	20	weights	weight	NOUN
ajbmeb-989	91	21	are	be	AUX
ajbmeb-989	91	22	obtained	obtain	VERB
ajbmeb-989	91	23	.	.	PUNCT
ajbmeb-989	92	1	thus	thus	ADV
ajbmeb-989	92	2	,	,	PUNCT
ajbmeb-989	92	3	the	the	DET
ajbmeb-989	92	4	desired	desire	VERB
ajbmeb-989	92	5	outputs	output	NOUN
ajbmeb-989	92	6	are	be	AUX
ajbmeb-989	92	7	obtained	obtain	VERB
ajbmeb-989	92	8	,	,	PUNCT
ajbmeb-989	92	9	i.e.	i.e.	X
ajbmeb-989	92	10	reaching	reach	VERB
ajbmeb-989	92	11	the	the	DET
ajbmeb-989	92	12	best	good	ADJ
ajbmeb-989	92	13	fit	fit	NOUN
ajbmeb-989	92	14	for	for	ADP
ajbmeb-989	92	15	the	the	DET
ajbmeb-989	92	16	model	model	NOUN
ajbmeb-989	92	17	under	under	ADP
ajbmeb-989	92	18	study	study	NOUN
ajbmeb-989	92	19	.	.	PUNCT
ajbmeb-989	93	1	where	where	SCONJ
ajbmeb-989	93	2	:	:	PUNCT
ajbmeb-989	93	3	xi	xi	NOUN
ajbmeb-989	93	4	:	:	PUNCT
ajbmeb-989	93	5	represents	represent	VERB
ajbmeb-989	93	6	the	the	DET
ajbmeb-989	93	7	network	network	NOUN
ajbmeb-989	93	8	inputs	input	NOUN
ajbmeb-989	93	9	,	,	PUNCT
ajbmeb-989	93	10	w	w	PROPN
ajbmeb-989	93	11	:	:	PUNCT
ajbmeb-989	93	12	represents	represent	VERB
ajbmeb-989	93	13	the	the	DET
ajbmeb-989	93	14	weights	weight	NOUN
ajbmeb-989	93	15	between	between	ADP
ajbmeb-989	93	16	levels	level	NOUN
ajbmeb-989	93	17	.	.	PUNCT
ajbmeb-989	94	1	2	2	X
ajbmeb-989	94	2	.	.	X
ajbmeb-989	94	3	logistic	logistic	ADJ
ajbmeb-989	94	4	regression	regression	NOUN
ajbmeb-989	94	5	logistic	logistic	ADJ
ajbmeb-989	94	6	regression	regression	NOUN
ajbmeb-989	94	7	is	be	AUX
ajbmeb-989	94	8	used	use	VERB
ajbmeb-989	94	9	to	to	PART
ajbmeb-989	94	10	find	find	VERB
ajbmeb-989	94	11	the	the	DET
ajbmeb-989	94	12	best	good	ADJ
ajbmeb-989	94	13	fit	fit	ADJ
ajbmeb-989	94	14	model	model	NOUN
ajbmeb-989	94	15	that	that	PRON
ajbmeb-989	94	16	describes	describe	VERB
ajbmeb-989	94	17	the	the	DET
ajbmeb-989	94	18	relationship	relationship	NOUN
ajbmeb-989	94	19	between	between	ADP
ajbmeb-989	94	20	a	a	DET
ajbmeb-989	94	21	response	response	NOUN
ajbmeb-989	94	22	variable	variable	NOUN
ajbmeb-989	94	23	(	(	PUNCT
ajbmeb-989	94	24	dependent	dependent	ADJ
ajbmeb-989	94	25	)	)	PUNCT
ajbmeb-989	94	26	and	and	CCONJ
ajbmeb-989	94	27	one	one	NUM
ajbmeb-989	94	28	or	or	CCONJ
ajbmeb-989	94	29	more	more	ADJ
ajbmeb-989	94	30	explanatory	explanatory	ADJ
ajbmeb-989	94	31	variables	variable	NOUN
ajbmeb-989	94	32	(	(	PUNCT
ajbmeb-989	94	33	independent	independent	ADJ
ajbmeb-989	94	34	)	)	PUNCT
ajbmeb-989	94	35	.	.	PUNCT
ajbmeb-989	95	1	many	many	ADJ
ajbmeb-989	95	2	natural	natural	ADJ
ajbmeb-989	95	3	phenomena	phenomena	NOUN
ajbmeb-989	95	4	exhibit	exhibit	VERB
ajbmeb-989	95	5	non	non	ADJ
ajbmeb-989	95	6	-	-	ADJ
ajbmeb-989	95	7	linear	linear	ADJ
ajbmeb-989	95	8	behavior	behavior	NOUN
ajbmeb-989	95	9	,	,	PUNCT
ajbmeb-989	95	10	and	and	CCONJ
ajbmeb-989	95	11	to	to	PART
ajbmeb-989	95	12	analyze	analyze	VERB
ajbmeb-989	95	13	such	such	ADJ
ajbmeb-989	95	14	phenomena	phenomenon	NOUN
ajbmeb-989	95	15	,	,	PUNCT
ajbmeb-989	95	16	non	non	ADJ
ajbmeb-989	95	17	-	-	ADJ
ajbmeb-989	95	18	linear	linear	ADJ
ajbmeb-989	95	19	models	model	NOUN
ajbmeb-989	95	20	are	be	AUX
ajbmeb-989	95	21	used	use	VERB
ajbmeb-989	95	22	.	.	PUNCT
ajbmeb-989	96	1	however	however	ADV
ajbmeb-989	96	2	,	,	PUNCT
ajbmeb-989	96	3	due	due	ADP
ajbmeb-989	96	4	to	to	ADP
ajbmeb-989	96	5	the	the	DET
ajbmeb-989	96	6	difficulty	difficulty	NOUN
ajbmeb-989	96	7	in	in	ADP
ajbmeb-989	96	8	using	use	VERB
ajbmeb-989	96	9	these	these	DET
ajbmeb-989	96	10	models	model	NOUN
ajbmeb-989	96	11	,	,	PUNCT
ajbmeb-989	96	12	linear	linear	ADJ
ajbmeb-989	96	13	regression	regression	NOUN
ajbmeb-989	96	14	models	model	NOUN
ajbmeb-989	96	15	are	be	AUX
ajbmeb-989	96	16	often	often	ADV
ajbmeb-989	96	17	used	use	VERB
ajbmeb-989	96	18	for	for	ADP
ajbmeb-989	96	19	this	this	DET
ajbmeb-989	96	20	purpose	purpose	NOUN
ajbmeb-989	96	21	.	.	PUNCT
ajbmeb-989	97	1	logistic	logistic	ADJ
ajbmeb-989	97	2	regression	regression	NOUN
ajbmeb-989	97	3	models	model	NOUN
ajbmeb-989	97	4	are	be	AUX
ajbmeb-989	97	5	one	one	NUM
ajbmeb-989	97	6	such	such	ADJ
ajbmeb-989	97	7	statistical	statistical	ADJ
ajbmeb-989	97	8	model	model	NOUN
ajbmeb-989	97	9	used	use	VERB
ajbmeb-989	97	10	to	to	PART
ajbmeb-989	97	11	describe	describe	VERB
ajbmeb-989	97	12	and	and	CCONJ
ajbmeb-989	97	13	analyze	analyze	VERB
ajbmeb-989	97	14	such	such	ADJ
ajbmeb-989	97	15	phenomena	phenomenon	NOUN
ajbmeb-989	97	16	.	.	PUNCT
ajbmeb-989	98	1	the	the	DET
ajbmeb-989	98	2	logistic	logistic	ADJ
ajbmeb-989	98	3	model	model	NOUN
ajbmeb-989	98	4	is	be	AUX
ajbmeb-989	98	5	used	use	VERB
ajbmeb-989	98	6	to	to	PART
ajbmeb-989	98	7	describe	describe	VERB
ajbmeb-989	98	8	the	the	DET
ajbmeb-989	98	9	relationship	relationship	NOUN
ajbmeb-989	98	10	between	between	ADP
ajbmeb-989	98	11	a	a	DET
ajbmeb-989	98	12	response	response	NOUN
ajbmeb-989	98	13	variable	variable	NOUN
ajbmeb-989	98	14	(	(	PUNCT
ajbmeb-989	98	15	y	y	NOUN
ajbmeb-989	98	16	)	)	PUNCT
ajbmeb-989	98	17	and	and	CCONJ
ajbmeb-989	98	18	one	one	NUM
ajbmeb-989	98	19	independent	independent	ADJ
ajbmeb-989	98	20	variable	variable	NOUN
ajbmeb-989	98	21	(	(	PUNCT
ajbmeb-989	98	22	x	x	NOUN
ajbmeb-989	98	23	)	)	PUNCT
ajbmeb-989	98	24	or	or	CCONJ
ajbmeb-989	98	25	several	several	ADJ
ajbmeb-989	98	26	independent	independent	ADJ
ajbmeb-989	98	27	variables	variable	NOUN
ajbmeb-989	98	28	(	(	PUNCT
ajbmeb-989	98	29	x1	x1	PROPN
ajbmeb-989	98	30	,	,	PUNCT
ajbmeb-989	98	31	...	...	PUNCT
ajbmeb-989	98	32	,	,	PUNCT
ajbmeb-989	98	33	xn	xn	PROPN
ajbmeb-989	98	34	)	)	PUNCT
ajbmeb-989	99	1	(	(	PUNCT
ajbmeb-989	99	2	al	al	PROPN
ajbmeb-989	99	3	-	-	PUNCT
ajbmeb-989	99	4	afifi	afifi	PROPN
ajbmeb-989	99	5	,	,	PUNCT
ajbmeb-989	99	6	2010	2010	NUM
ajbmeb-989	99	7	;	;	PUNCT
ajbmeb-989	99	8	ghanem	ghanem	PROPN
ajbmeb-989	99	9	&	&	CCONJ
ajbmeb-989	99	10	al	al	PROPN
ajbmeb-989	99	11	-	-	PUNCT
ajbmeb-989	99	12	jaouni	jaouni	NOUN
ajbmeb-989	99	13	,	,	PUNCT
ajbmeb-989	99	14	2011	2011	NUM
ajbmeb-989	99	15	;	;	PUNCT
ajbmeb-989	99	16	johnson	johnson	PROPN
ajbmeb-989	99	17	,	,	PUNCT
ajbmeb-989	99	18	1998	1998	NUM
ajbmeb-989	99	19	)	)	PUNCT
ajbmeb-989	99	20	.	.	PUNCT
ajbmeb-989	100	1	when	when	SCONJ
ajbmeb-989	100	2	there	there	PRON
ajbmeb-989	100	3	is	be	VERB
ajbmeb-989	100	4	a	a	DET
ajbmeb-989	100	5	binary	binary	ADJ
ajbmeb-989	100	6	response	response	NOUN
ajbmeb-989	100	7	variable	variable	NOUN
ajbmeb-989	100	8	and	and	CCONJ
ajbmeb-989	100	9	one	one	NUM
ajbmeb-989	100	10	independent	independent	ADJ
ajbmeb-989	100	11	variable	variable	NOUN
ajbmeb-989	100	12	,	,	PUNCT
ajbmeb-989	100	13	the	the	DET
ajbmeb-989	100	14	general	general	ADJ
ajbmeb-989	100	15	formula	formula	NOUN
ajbmeb-989	100	16	for	for	ADP
ajbmeb-989	100	17	the	the	DET
ajbmeb-989	100	18	logistic	logistic	ADJ
ajbmeb-989	100	19	model	model	NOUN
ajbmeb-989	100	20	is	be	AUX
ajbmeb-989	100	21	:	:	PUNCT
ajbmeb-989	100	22	𝑝(𝑥	𝑝(𝑥	NUM
ajbmeb-989	100	23	)	)	PUNCT
ajbmeb-989	100	24	=	=	PUNCT
ajbmeb-989	100	25	1	1	NUM
ajbmeb-989	100	26	1+𝑒−𝛼−𝛽𝑥𝑖	1+𝑒−𝛼−𝛽𝑥𝑖	NUM
ajbmeb-989	100	27	…	…	PUNCT
ajbmeb-989	100	28	…	…	PUNCT
ajbmeb-989	100	29	.(18	.(18	NUM
ajbmeb-989	100	30	)	)	PUNCT
ajbmeb-989	100	31	since	since	SCONJ
ajbmeb-989	100	32	:	:	PUNCT
ajbmeb-989	100	33	i=1,2,3,4,	i=1,2,3,4,	PROPN
ajbmeb-989	100	34	…	…	PUNCT
ajbmeb-989	100	35	…	…	PUNCT
ajbmeb-989	100	36	,n	,n	NOUN
ajbmeb-989	100	37	,	,	PUNCT
ajbmeb-989	100	38	β	β	X
ajbmeb-989	100	39	and	and	CCONJ
ajbmeb-989	100	40	α	α	PRON
ajbmeb-989	100	41	:	:	PUNCT
ajbmeb-989	100	42	are	be	AUX
ajbmeb-989	100	43	the	the	DET
ajbmeb-989	100	44	two	two	NUM
ajbmeb-989	100	45	parameters	parameter	NOUN
ajbmeb-989	100	46	of	of	ADP
ajbmeb-989	100	47	the	the	DET
ajbmeb-989	100	48	model	model	NOUN
ajbmeb-989	100	49	to	to	PART
ajbmeb-989	100	50	be	be	AUX
ajbmeb-989	100	51	estimated	estimate	VERB
ajbmeb-989	100	52	.	.	PUNCT
ajbmeb-989	101	1	β>0	β>0	PROPN
ajbmeb-989	101	2	p(x	p(x	NOUN
ajbmeb-989	101	3	):	):	PUNCT
ajbmeb-989	101	4	the	the	DET
ajbmeb-989	101	5	probability	probability	NOUN
ajbmeb-989	101	6	of	of	ADP
ajbmeb-989	101	7	the	the	DET
ajbmeb-989	101	8	response	response	NOUN
ajbmeb-989	101	9	xi	xi	ADP
ajbmeb-989	101	10	:	:	PUNCT
ajbmeb-989	101	11	the	the	DET
ajbmeb-989	101	12	explanatory	explanatory	ADJ
ajbmeb-989	101	13	variable	variable	NOUN
ajbmeb-989	101	14	where	where	SCONJ
ajbmeb-989	101	15	:	:	PUNCT
ajbmeb-989	101	16	−∞	−∞	ADP
ajbmeb-989	101	17	<	<	X
ajbmeb-989	101	18	xi	xi	X
ajbmeb-989	101	19	<	<	X
ajbmeb-989	101	20	∞	∞	PROPN
ajbmeb-989	101	21	&	&	CCONJ
ajbmeb-989	101	22	−∞	−∞	ADP
ajbmeb-989	101	23	≤	≤	NUM
ajbmeb-989	101	24	𝑎	𝑎	PROPN
ajbmeb-989	101	25	≤	≤	NUM
ajbmeb-989	101	26	∞	∞	NUM
ajbmeb-989	101	27	the	the	DET
ajbmeb-989	101	28	above	above	ADJ
ajbmeb-989	101	29	formula	formula	NOUN
ajbmeb-989	101	30	is	be	AUX
ajbmeb-989	101	31	known	know	VERB
ajbmeb-989	101	32	as	as	ADP
ajbmeb-989	101	33	the	the	DET
ajbmeb-989	101	34	logistical	logistical	ADJ
ajbmeb-989	101	35	response	response	NOUN
ajbmeb-989	101	36	function	function	NOUN
ajbmeb-989	101	37	and	and	CCONJ
ajbmeb-989	101	38	is	be	AUX
ajbmeb-989	101	39	characterized	characterize	VERB
ajbmeb-989	101	40	by	by	ADP
ajbmeb-989	101	41	the	the	DET
ajbmeb-989	101	42	fact	fact	NOUN
ajbmeb-989	101	43	that	that	SCONJ
ajbmeb-989	101	44	p	p	X
ajbmeb-989	101	45	(	(	PUNCT
ajbmeb-989	101	46	x	x	X
ajbmeb-989	101	47	)	)	PUNCT
ajbmeb-989	101	48	is	be	AUX
ajbmeb-989	101	49	defined	define	VERB
ajbmeb-989	101	50	between	between	ADP
ajbmeb-989	101	51	(	(	PUNCT
ajbmeb-989	101	52	1,0	1,0	NUM
ajbmeb-989	101	53	)	)	PUNCT
ajbmeb-989	101	54	and	and	CCONJ
ajbmeb-989	101	55	that	that	SCONJ
ajbmeb-989	101	56	the	the	DET
ajbmeb-989	101	57	two	two	NUM
ajbmeb-989	101	58	parameters	parameter	NOUN
ajbmeb-989	101	59	(	(	PUNCT
ajbmeb-989	101	60	β	β	X
ajbmeb-989	101	61	,	,	PUNCT
ajbmeb-989	101	62	α	α	NOUN
ajbmeb-989	101	63	)	)	PUNCT
ajbmeb-989	101	64	are	be	AUX
ajbmeb-989	101	65	unrestricted	unrestricted	ADJ
ajbmeb-989	101	66	.	.	PUNCT
ajbmeb-989	102	1	however	however	ADV
ajbmeb-989	102	2	,	,	PUNCT
ajbmeb-989	102	3	in	in	ADP
ajbmeb-989	102	4	the	the	DET
ajbmeb-989	102	5	case	case	NOUN
ajbmeb-989	102	6	of	of	ADP
ajbmeb-989	102	7	each	each	PRON
ajbmeb-989	102	8	of	of	ADP
ajbmeb-989	102	9	the	the	DET
ajbmeb-989	102	10	nominally	nominally	ADV
ajbmeb-989	102	11	dependent	dependent	ADJ
ajbmeb-989	102	12	variables	variable	NOUN
ajbmeb-989	102	13	that	that	PRON
ajbmeb-989	102	14	have	have	VERB
ajbmeb-989	102	15	multiple	multiple	ADJ
ajbmeb-989	102	16	responses	response	NOUN
ajbmeb-989	102	17	consisting	consist	VERB
ajbmeb-989	102	18	of	of	ADP
ajbmeb-989	102	19	two	two	NUM
ajbmeb-989	102	20	levels	level	NOUN
ajbmeb-989	102	21	or	or	CCONJ
ajbmeb-989	102	22	two	two	NUM
ajbmeb-989	102	23	classifications	classification	NOUN
ajbmeb-989	102	24	or	or	CCONJ
ajbmeb-989	102	25	more	more	ADJ
ajbmeb-989	102	26	and	and	CCONJ
ajbmeb-989	102	27	there	there	PRON
ajbmeb-989	102	28	are	be	VERB
ajbmeb-989	102	29	several	several	ADJ
ajbmeb-989	102	30	independent	independent	ADJ
ajbmeb-989	102	31	variables	variable	NOUN
ajbmeb-989	102	32	.	.	PUNCT
ajbmeb-989	103	1	therefore	therefore	ADV
ajbmeb-989	103	2	we	we	PRON
ajbmeb-989	103	3	have	have	VERB
ajbmeb-989	103	4	the	the	DET
ajbmeb-989	103	5	multiple	multiple	ADJ
ajbmeb-989	103	6	logistic	logistic	ADJ
ajbmeb-989	103	7	model	model	NOUN
ajbmeb-989	103	8	;	;	PUNCT
ajbmeb-989	103	9	it	it	PRON
ajbmeb-989	103	10	is	be	AUX
ajbmeb-989	103	11	formulated	formulate	VERB
ajbmeb-989	103	12	as	as	ADP
ajbmeb-989	103	13	:	:	PUNCT
ajbmeb-989	103	14	𝑝(𝑥	𝑝(𝑥	NUM
ajbmeb-989	103	15	)	)	PUNCT
ajbmeb-989	103	16	=	=	PUNCT
ajbmeb-989	104	1	1	1	NUM
ajbmeb-989	104	2	1+𝑒−𝑍	1+𝑒−𝑍	NUM
ajbmeb-989	104	3	…	…	PUNCT
ajbmeb-989	104	4	…	…	PUNCT
ajbmeb-989	104	5	.(19	.(19	NUM
ajbmeb-989	104	6	)	)	PUNCT
ajbmeb-989	104	7	where	where	SCONJ
ajbmeb-989	104	8	,	,	PUNCT
ajbmeb-989	104	9	z	z	PROPN
ajbmeb-989	104	10	=	=	SYM
ajbmeb-989	104	11	a+b1x1+b2x2+	a+b1x1+b2x2+	NOUN
ajbmeb-989	104	12	…	…	SYM
ajbmeb-989	104	13	…	…	PUNCT
ajbmeb-989	104	14	…	…	SYM
ajbmeb-989	104	15	+bpxp	+bpxp	NOUN
ajbmeb-989	104	16	…	…	SYM
ajbmeb-989	104	17	…	…	PUNCT
ajbmeb-989	104	18	…	…	PUNCT
ajbmeb-989	104	19	(20	(20	PUNCT
ajbmeb-989	104	20	)	)	PUNCT
ajbmeb-989	104	21	there	there	PRON
ajbmeb-989	104	22	are	be	VERB
ajbmeb-989	104	23	two	two	NUM
ajbmeb-989	104	24	types	type	NOUN
ajbmeb-989	104	25	of	of	ADP
ajbmeb-989	104	26	lrm	lrm	PROPN
ajbmeb-989	104	27	,	,	PUNCT
ajbmeb-989	104	28	the	the	DET
ajbmeb-989	104	29	first	first	ADJ
ajbmeb-989	104	30	model	model	NOUN
ajbmeb-989	104	31	is	be	AUX
ajbmeb-989	104	32	the	the	DET
ajbmeb-989	104	33	two	two	NUM
ajbmeb-989	104	34	-	-	PUNCT
ajbmeb-989	104	35	response	response	NOUN
ajbmeb-989	104	36	lrm	lrm	NOUN
ajbmeb-989	104	37	and	and	CCONJ
ajbmeb-989	104	38	this	this	DET
ajbmeb-989	104	39	model	model	NOUN
ajbmeb-989	104	40	is	be	AUX
ajbmeb-989	104	41	used	use	VERB
ajbmeb-989	104	42	in	in	ADP
ajbmeb-989	104	43	the	the	DET
ajbmeb-989	104	44	case	case	NOUN
ajbmeb-989	104	45	if	if	SCONJ
ajbmeb-989	104	46	the	the	DET
ajbmeb-989	104	47	response	response	NOUN
ajbmeb-989	104	48	variable	variable	NOUN
ajbmeb-989	104	49	consists	consist	VERB
ajbmeb-989	104	50	of	of	ADP
ajbmeb-989	104	51	two	two	NUM
ajbmeb-989	104	52	levels	level	NOUN
ajbmeb-989	104	53	(	(	PUNCT
ajbmeb-989	104	54	two	two	NUM
ajbmeb-989	104	55	classifications	classification	NOUN
ajbmeb-989	104	56	)	)	PUNCT
ajbmeb-989	104	57	only	only	ADV
ajbmeb-989	104	58	.	.	PUNCT
ajbmeb-989	105	1	the	the	DET
ajbmeb-989	105	2	second	second	ADJ
ajbmeb-989	105	3	model	model	NOUN
ajbmeb-989	105	4	is	be	AUX
ajbmeb-989	105	5	the	the	DET
ajbmeb-989	105	6	multiple	multiple	ADJ
ajbmeb-989	105	7	-	-	PUNCT
ajbmeb-989	105	8	response	response	NOUN
ajbmeb-989	105	9	lrm	lrm	NOUN
ajbmeb-989	105	10	and	and	CCONJ
ajbmeb-989	105	11	is	be	AUX
ajbmeb-989	105	12	used	use	VERB
ajbmeb-989	105	13	in	in	ADP
ajbmeb-989	105	14	the	the	DET
ajbmeb-989	105	15	case	case	NOUN
ajbmeb-989	105	16	if	if	SCONJ
ajbmeb-989	105	17	the	the	DET
ajbmeb-989	105	18	response	response	NOUN
ajbmeb-989	105	19	variable	variable	NOUN
ajbmeb-989	105	20	consists	consist	VERB
ajbmeb-989	105	21	of	of	ADP
ajbmeb-989	105	22	three	three	NUM
ajbmeb-989	105	23	levels	level	NOUN
ajbmeb-989	105	24	and	and	CCONJ
ajbmeb-989	105	25	more	more	ADJ
ajbmeb-989	105	26	.	.	PUNCT
ajbmeb-989	106	1	1	1	NUM
ajbmeb-989	106	2	-	-	PUNCT
ajbmeb-989	106	3	two	two	NUM
ajbmeb-989	106	4	-	-	PUNCT
ajbmeb-989	106	5	response	response	NOUN
ajbmeb-989	106	6	logistic	logistic	ADJ
ajbmeb-989	106	7	regression	regression	NOUN
ajbmeb-989	106	8	model	model	NOUN
ajbmeb-989	106	9	the	the	DET
ajbmeb-989	106	10	lrm	lrm	PROPN
ajbmeb-989	106	11	is	be	AUX
ajbmeb-989	106	12	based	base	VERB
ajbmeb-989	106	13	on	on	ADP
ajbmeb-989	106	14	a	a	DET
ajbmeb-989	106	15	basic	basic	ADJ
ajbmeb-989	106	16	assumption	assumption	NOUN
ajbmeb-989	106	17	,	,	PUNCT
ajbmeb-989	106	18	which	which	PRON
ajbmeb-989	106	19	is	be	AUX
ajbmeb-989	106	20	that	that	SCONJ
ajbmeb-989	106	21	the	the	DET
ajbmeb-989	106	22	dependent	dependent	ADJ
ajbmeb-989	106	23	variable	variable	NOUN
ajbmeb-989	106	24	(	(	PUNCT
ajbmeb-989	106	25	y	y	NOUN
ajbmeb-989	106	26	)	)	PUNCT
ajbmeb-989	106	27	,	,	PUNCT
ajbmeb-989	106	28	the	the	DET
ajbmeb-989	106	29	response	response	NOUN
ajbmeb-989	106	30	variable	variable	NOUN
ajbmeb-989	106	31	that	that	SCONJ
ajbmeb-989	106	32	we	we	PRON
ajbmeb-989	106	33	are	be	AUX
ajbmeb-989	106	34	interested	interested	ADJ
ajbmeb-989	106	35	in	in	ADP
ajbmeb-989	106	36	studying	study	VERB
ajbmeb-989	106	37	,	,	PUNCT
ajbmeb-989	106	38	is	be	AUX
ajbmeb-989	106	39	a	a	DET
ajbmeb-989	106	40	binary	binary	ADJ
ajbmeb-989	106	41	variable	variable	NOUN
ajbmeb-989	106	42	and	and	CCONJ
ajbmeb-989	106	43	follows	follow	VERB
ajbmeb-989	106	44	the	the	DET
ajbmeb-989	106	45	bernoulli	bernoulli	NOUN
ajbmeb-989	106	46	distribution	distribution	NOUN
ajbmeb-989	106	47	,	,	PUNCT
ajbmeb-989	106	48	and	and	CCONJ
ajbmeb-989	106	49	takes	take	VERB
ajbmeb-989	106	50	american	american	ADJ
ajbmeb-989	106	51	journal	journal	PROPN
ajbmeb-989	106	52	of	of	ADP
ajbmeb-989	106	53	business	business	NOUN
ajbmeb-989	106	54	management	management	NOUN
ajbmeb-989	106	55	,	,	PUNCT
ajbmeb-989	106	56	economics	economic	NOUN
ajbmeb-989	106	57	and	and	CCONJ
ajbmeb-989	106	58	banking	banking	NOUN
ajbmeb-989	106	59	volume	volume	NOUN
ajbmeb-989	106	60	13	13	NUM
ajbmeb-989	106	61	june	june	PROPN
ajbmeb-989	106	62	,	,	PUNCT
ajbmeb-989	106	63	2023	2023	NUM
ajbmeb-989	106	64	p	p	NOUN
ajbmeb-989	106	65	a	a	DET
ajbmeb-989	106	66	g	g	NOUN
ajbmeb-989	106	67	e	e	NOUN
ajbmeb-989	106	68	|	|	NOUN
ajbmeb-989	106	69	80	80	NUM
ajbmeb-989	106	70	www.americanjournal.org	www.americanjournal.org	NOUN
ajbmeb-989	106	71	the	the	DET
ajbmeb-989	106	72	value	value	NOUN
ajbmeb-989	106	73	(	(	PUNCT
ajbmeb-989	106	74	1	1	NUM
ajbmeb-989	106	75	)	)	PUNCT
ajbmeb-989	106	76	with	with	ADP
ajbmeb-989	106	77	a	a	DET
ajbmeb-989	106	78	probability	probability	NOUN
ajbmeb-989	106	79	of	of	ADP
ajbmeb-989	106	80	(	(	PUNCT
ajbmeb-989	106	81	π	π	NOUN
ajbmeb-989	106	82	)	)	PUNCT
ajbmeb-989	106	83	and	and	CCONJ
ajbmeb-989	106	84	the	the	DET
ajbmeb-989	106	85	value	value	NOUN
ajbmeb-989	106	86	(	(	PUNCT
ajbmeb-989	106	87	0	0	NUM
ajbmeb-989	106	88	)	)	PUNCT
ajbmeb-989	106	89	with	with	ADP
ajbmeb-989	106	90	a	a	DET
ajbmeb-989	106	91	probability	probability	NOUN
ajbmeb-989	106	92	of	of	ADP
ajbmeb-989	106	93	(	(	PUNCT
ajbmeb-989	106	94	1	1	NUM
ajbmeb-989	106	95	-	-	SYM
ajbmeb-989	106	96	π	π	NOUN
ajbmeb-989	106	97	)	)	PUNCT
ajbmeb-989	106	98	,	,	PUNCT
ajbmeb-989	106	99	that	that	ADV
ajbmeb-989	106	100	is	is	ADV
ajbmeb-989	106	101	,	,	PUNCT
ajbmeb-989	106	102	the	the	DET
ajbmeb-989	106	103	occurrence	occurrence	NOUN
ajbmeb-989	106	104	of	of	ADP
ajbmeb-989	106	105	the	the	DET
ajbmeb-989	106	106	response	response	NOUN
ajbmeb-989	106	107	and	and	CCONJ
ajbmeb-989	106	108	not	not	PART
ajbmeb-989	106	109	occurring	occur	VERB
ajbmeb-989	106	110	(	(	PUNCT
ajbmeb-989	106	111	al	al	PROPN
ajbmeb-989	106	112	-	-	NOUN
ajbmeb-989	106	113	afifi	afifi	PROPN
ajbmeb-989	106	114	,	,	PUNCT
ajbmeb-989	106	115	2010	2010	NUM
ajbmeb-989	106	116	;	;	PUNCT
ajbmeb-989	106	117	timm	timm	PROPN
ajbmeb-989	106	118	,	,	PUNCT
ajbmeb-989	106	119	2002	2002	NUM
ajbmeb-989	106	120	)	)	PUNCT
ajbmeb-989	106	121	.	.	PUNCT
ajbmeb-989	107	1	2	2	X
ajbmeb-989	107	2	.	.	X
ajbmeb-989	107	3	multiple	multiple	ADJ
ajbmeb-989	107	4	response	response	NOUN
ajbmeb-989	107	5	logistic	logistic	ADJ
ajbmeb-989	107	6	regression	regression	NOUN
ajbmeb-989	107	7	model	model	NOUN
ajbmeb-989	107	8	the	the	DET
ajbmeb-989	107	9	multiple	multiple	ADJ
ajbmeb-989	107	10	-	-	PUNCT
ajbmeb-989	107	11	response	response	NOUN
ajbmeb-989	107	12	lrm	lrm	NOUN
ajbmeb-989	107	13	is	be	AUX
ajbmeb-989	107	14	considered	consider	VERB
ajbmeb-989	107	15	one	one	NUM
ajbmeb-989	107	16	of	of	ADP
ajbmeb-989	107	17	the	the	DET
ajbmeb-989	107	18	important	important	ADJ
ajbmeb-989	107	19	statistical	statistical	ADJ
ajbmeb-989	107	20	models	model	NOUN
ajbmeb-989	107	21	in	in	ADP
ajbmeb-989	107	22	analyzing	analyze	VERB
ajbmeb-989	107	23	classified	classified	ADJ
ajbmeb-989	107	24	data	datum	NOUN
ajbmeb-989	107	25	,	,	PUNCT
ajbmeb-989	107	26	and	and	CCONJ
ajbmeb-989	107	27	it	it	PRON
ajbmeb-989	107	28	is	be	AUX
ajbmeb-989	107	29	generally	generally	ADV
ajbmeb-989	107	30	used	use	VERB
ajbmeb-989	107	31	when	when	SCONJ
ajbmeb-989	107	32	the	the	DET
ajbmeb-989	107	33	response	response	NOUN
ajbmeb-989	107	34	variable	variable	NOUN
ajbmeb-989	107	35	belongs	belong	VERB
ajbmeb-989	107	36	to	to	ADP
ajbmeb-989	107	37	variables	variable	NOUN
ajbmeb-989	107	38	of	of	ADP
ajbmeb-989	107	39	nominal	nominal	ADJ
ajbmeb-989	107	40	or	or	CCONJ
ajbmeb-989	107	41	ordinal	ordinal	ADJ
ajbmeb-989	107	42	type	type	NOUN
ajbmeb-989	107	43	consisting	consist	VERB
ajbmeb-989	107	44	of	of	ADP
ajbmeb-989	107	45	two	two	NUM
ajbmeb-989	107	46	levels	level	NOUN
ajbmeb-989	107	47	or	or	CCONJ
ajbmeb-989	107	48	two	two	NUM
ajbmeb-989	107	49	classifications	classification	NOUN
ajbmeb-989	107	50	or	or	CCONJ
ajbmeb-989	107	51	more	more	ADJ
ajbmeb-989	107	52	.	.	PUNCT
ajbmeb-989	108	1	likewise	likewise	ADV
ajbmeb-989	108	2	,	,	PUNCT
ajbmeb-989	108	3	the	the	DET
ajbmeb-989	108	4	multiple	multiple	ADJ
ajbmeb-989	108	5	-	-	PUNCT
ajbmeb-989	108	6	response	response	NOUN
ajbmeb-989	108	7	lrm	lrm	NOUN
ajbmeb-989	108	8	is	be	AUX
ajbmeb-989	108	9	a	a	DET
ajbmeb-989	108	10	development	development	NOUN
ajbmeb-989	108	11	and	and	CCONJ
ajbmeb-989	108	12	expansion	expansion	NOUN
ajbmeb-989	108	13	of	of	ADP
ajbmeb-989	108	14	the	the	DET
ajbmeb-989	108	15	two	two	NUM
ajbmeb-989	108	16	-	-	PUNCT
ajbmeb-989	108	17	response	response	NOUN
ajbmeb-989	108	18	lrm	lrm	NOUN
ajbmeb-989	108	19	,	,	PUNCT
ajbmeb-989	108	20	and	and	CCONJ
ajbmeb-989	108	21	it	it	PRON
ajbmeb-989	108	22	depends	depend	VERB
ajbmeb-989	108	23	mainly	mainly	ADV
ajbmeb-989	108	24	on	on	ADP
ajbmeb-989	108	25	the	the	DET
ajbmeb-989	108	26	multinomial	multinomial	ADJ
ajbmeb-989	108	27	distribution	distribution	NOUN
ajbmeb-989	108	28	(	(	PUNCT
ajbmeb-989	108	29	al	al	PROPN
ajbmeb-989	108	30	-	-	NOUN
ajbmeb-989	108	31	afifi	afifi	PROPN
ajbmeb-989	108	32	,	,	PUNCT
ajbmeb-989	108	33	2010	2010	NUM
ajbmeb-989	108	34	;	;	PUNCT
ajbmeb-989	108	35	maiprasert	maiprasert	NOUN
ajbmeb-989	108	36	&	&	CCONJ
ajbmeb-989	108	37	kitbumrungrat	kitbumrungrat	PROPN
ajbmeb-989	108	38	,	,	PUNCT
ajbmeb-989	108	39	2012	2012	NUM
ajbmeb-989	108	40	)	)	PUNCT
ajbmeb-989	108	41	.	.	PUNCT
ajbmeb-989	109	1	2	2	NUM
ajbmeb-989	109	2	-	-	SYM
ajbmeb-989	109	3	1	1	NUM
ajbmeb-989	109	4	logistic	logistic	ADJ
ajbmeb-989	109	5	model	model	NOUN
ajbmeb-989	109	6	assumptions	assumption	NOUN
ajbmeb-989	109	7	zelen	zelen	X
ajbmeb-989	109	8	(	(	PUNCT
ajbmeb-989	109	9	1983	1983	NUM
ajbmeb-989	109	10	)	)	PUNCT
ajbmeb-989	109	11	stated	state	VERB
ajbmeb-989	109	12	that	that	SCONJ
ajbmeb-989	109	13	there	there	PRON
ajbmeb-989	109	14	are	be	VERB
ajbmeb-989	109	15	many	many	ADJ
ajbmeb-989	109	16	hypotheses	hypothesis	NOUN
ajbmeb-989	109	17	for	for	ADP
ajbmeb-989	109	18	the	the	DET
ajbmeb-989	109	19	logistics	logistic	NOUN
ajbmeb-989	109	20	model	model	NOUN
ajbmeb-989	109	21	,	,	PUNCT
ajbmeb-989	109	22	the	the	DET
ajbmeb-989	109	23	most	most	ADV
ajbmeb-989	109	24	important	important	ADJ
ajbmeb-989	109	25	of	of	ADP
ajbmeb-989	109	26	which	which	PRON
ajbmeb-989	109	27	is	be	AUX
ajbmeb-989	109	28	:	:	PUNCT
ajbmeb-989	110	1	1	1	X
ajbmeb-989	110	2	.	.	X
ajbmeb-989	110	3	if	if	SCONJ
ajbmeb-989	110	4	the	the	DET
ajbmeb-989	110	5	value	value	NOUN
ajbmeb-989	110	6	of	of	ADP
ajbmeb-989	110	7	the	the	DET
ajbmeb-989	110	8	dependent	dependent	ADJ
ajbmeb-989	110	9	variable	variable	NOUN
ajbmeb-989	110	10	is	be	AUX
ajbmeb-989	110	11	confined	confine	VERB
ajbmeb-989	110	12	or	or	CCONJ
ajbmeb-989	110	13	restricted	restrict	VERB
ajbmeb-989	110	14	to	to	ADP
ajbmeb-989	110	15	the	the	DET
ajbmeb-989	110	16	period	period	NOUN
ajbmeb-989	110	17	[	[	X
ajbmeb-989	110	18	1,0	1,0	NUM
ajbmeb-989	110	19	]	]	SYM
ajbmeb-989	110	20	2	2	NUM
ajbmeb-989	110	21	.	.	PUNCT
ajbmeb-989	111	1	the	the	DET
ajbmeb-989	111	2	values	value	NOUN
ajbmeb-989	111	3	of	of	ADP
ajbmeb-989	111	4	the	the	DET
ajbmeb-989	111	5	dependent	dependent	ADJ
ajbmeb-989	111	6	variable	variable	NOUN
ajbmeb-989	111	7	are	be	AUX
ajbmeb-989	111	8	either	either	CCONJ
ajbmeb-989	111	9	(	(	PUNCT
ajbmeb-989	111	10	0	0	NUM
ajbmeb-989	111	11	)	)	PUNCT
ajbmeb-989	111	12	or	or	CCONJ
ajbmeb-989	111	13	(	(	PUNCT
ajbmeb-989	111	14	1	1	NUM
ajbmeb-989	111	15	)	)	PUNCT
ajbmeb-989	111	16	and	and	CCONJ
ajbmeb-989	111	17	the	the	DET
ajbmeb-989	111	18	remainders	remainder	NOUN
ajbmeb-989	111	19	are	be	AUX
ajbmeb-989	111	20	generally	generally	ADV
ajbmeb-989	111	21	large	large	ADJ
ajbmeb-989	111	22	and	and	CCONJ
ajbmeb-989	111	23	the	the	DET
ajbmeb-989	111	24	value	value	NOUN
ajbmeb-989	111	25	of	of	ADP
ajbmeb-989	111	26	(	(	PUNCT
ajbmeb-989	111	27	r2	r2	PROPN
ajbmeb-989	111	28	)	)	PUNCT
ajbmeb-989	111	29	is	be	AUX
ajbmeb-989	111	30	small	small	ADJ
ajbmeb-989	111	31	.	.	PUNCT
ajbmeb-989	112	1	3	3	X
ajbmeb-989	112	2	.	.	X
ajbmeb-989	112	3	the	the	DET
ajbmeb-989	112	4	logistic	logistic	ADJ
ajbmeb-989	112	5	model	model	NOUN
ajbmeb-989	112	6	does	do	AUX
ajbmeb-989	112	7	not	not	PART
ajbmeb-989	112	8	assume	assume	VERB
ajbmeb-989	112	9	a	a	DET
ajbmeb-989	112	10	specific	specific	ADJ
ajbmeb-989	112	11	distribution	distribution	NOUN
ajbmeb-989	112	12	of	of	ADP
ajbmeb-989	112	13	the	the	DET
ajbmeb-989	112	14	dependent	dependent	ADJ
ajbmeb-989	112	15	variable	variable	NOUN
ajbmeb-989	112	16	,	,	PUNCT
ajbmeb-989	112	17	but	but	CCONJ
ajbmeb-989	112	18	it	it	PRON
ajbmeb-989	112	19	is	be	AUX
ajbmeb-989	112	20	assumed	assume	VERB
ajbmeb-989	112	21	that	that	SCONJ
ajbmeb-989	112	22	its	its	PRON
ajbmeb-989	112	23	distribution	distribution	NOUN
ajbmeb-989	112	24	is	be	AUX
ajbmeb-989	112	25	within	within	ADP
ajbmeb-989	112	26	the	the	DET
ajbmeb-989	112	27	distributions	distribution	NOUN
ajbmeb-989	112	28	of	of	ADP
ajbmeb-989	112	29	the	the	DET
ajbmeb-989	112	30	exponential	exponential	ADJ
ajbmeb-989	112	31	family	family	NOUN
ajbmeb-989	112	32	(	(	PUNCT
ajbmeb-989	112	33	i.e.	i.e.	X
ajbmeb-989	112	34	,	,	PUNCT
ajbmeb-989	112	35	binomial	binomial	ADJ
ajbmeb-989	112	36	distribution	distribution	NOUN
ajbmeb-989	112	37	)	)	PUNCT
ajbmeb-989	112	38	.	.	PUNCT
ajbmeb-989	113	1	4	4	X
ajbmeb-989	113	2	.	.	PUNCT
ajbmeb-989	113	3	to	to	PART
ajbmeb-989	113	4	ensure	ensure	VERB
ajbmeb-989	113	5	a	a	DET
ajbmeb-989	113	6	sufficient	sufficient	ADJ
ajbmeb-989	113	7	number	number	NOUN
ajbmeb-989	113	8	of	of	ADP
ajbmeb-989	113	9	items	item	NOUN
ajbmeb-989	113	10	for	for	ADP
ajbmeb-989	113	11	the	the	DET
ajbmeb-989	113	12	response	response	NOUN
ajbmeb-989	113	13	variable	variable	NOUN
ajbmeb-989	113	14	,	,	PUNCT
ajbmeb-989	113	15	the	the	DET
ajbmeb-989	113	16	sample	sample	NOUN
ajbmeb-989	113	17	sizes	size	NOUN
ajbmeb-989	113	18	must	must	AUX
ajbmeb-989	113	19	be	be	AUX
ajbmeb-989	113	20	large	large	ADJ
ajbmeb-989	113	21	in	in	ADP
ajbmeb-989	113	22	the	the	DET
ajbmeb-989	113	23	logistic	logistic	ADJ
ajbmeb-989	113	24	regression	regression	NOUN
ajbmeb-989	113	25	.	.	PUNCT
ajbmeb-989	114	1	5	5	X
ajbmeb-989	114	2	.	.	X
ajbmeb-989	114	3	the	the	DET
ajbmeb-989	114	4	logistic	logistic	ADJ
ajbmeb-989	114	5	model	model	NOUN
ajbmeb-989	114	6	does	do	AUX
ajbmeb-989	114	7	not	not	PART
ajbmeb-989	114	8	assume	assume	VERB
ajbmeb-989	114	9	a	a	DET
ajbmeb-989	114	10	certain	certain	ADJ
ajbmeb-989	114	11	distribution	distribution	NOUN
ajbmeb-989	114	12	of	of	ADP
ajbmeb-989	114	13	the	the	DET
ajbmeb-989	114	14	explanatory	explanatory	ADJ
ajbmeb-989	114	15	variables	variable	NOUN
ajbmeb-989	114	16	,	,	PUNCT
ajbmeb-989	114	17	and	and	CCONJ
ajbmeb-989	114	18	there	there	PRON
ajbmeb-989	114	19	should	should	AUX
ajbmeb-989	114	20	not	not	PART
ajbmeb-989	114	21	be	be	AUX
ajbmeb-989	114	22	a	a	DET
ajbmeb-989	114	23	high	high	ADJ
ajbmeb-989	114	24	correlation	correlation	NOUN
ajbmeb-989	114	25	between	between	ADP
ajbmeb-989	114	26	the	the	DET
ajbmeb-989	114	27	explanatory	explanatory	ADJ
ajbmeb-989	114	28	variables	variable	NOUN
ajbmeb-989	114	29	,	,	PUNCT
ajbmeb-989	114	30	because	because	SCONJ
ajbmeb-989	114	31	this	this	PRON
ajbmeb-989	114	32	causes	cause	VERB
ajbmeb-989	114	33	problems	problem	NOUN
ajbmeb-989	114	34	in	in	ADP
ajbmeb-989	114	35	estimation	estimation	NOUN
ajbmeb-989	114	36	.	.	PUNCT
ajbmeb-989	115	1	6	6	X
ajbmeb-989	115	2	.	.	X
ajbmeb-989	115	3	there	there	PRON
ajbmeb-989	115	4	should	should	AUX
ajbmeb-989	115	5	n't	not	PART
ajbmeb-989	115	6	be	be	AUX
ajbmeb-989	115	7	a	a	DET
ajbmeb-989	115	8	linear	linear	ADJ
ajbmeb-989	115	9	relationship	relationship	NOUN
ajbmeb-989	115	10	between	between	ADP
ajbmeb-989	115	11	the	the	DET
ajbmeb-989	115	12	independent	independent	ADJ
ajbmeb-989	115	13	variable	variable	NOUN
ajbmeb-989	115	14	and	and	CCONJ
ajbmeb-989	115	15	the	the	DET
ajbmeb-989	115	16	dependent	dependent	ADJ
ajbmeb-989	115	17	variable	variable	NOUN
ajbmeb-989	115	18	,	,	PUNCT
ajbmeb-989	115	19	but	but	CCONJ
ajbmeb-989	115	20	it	it	PRON
ajbmeb-989	115	21	assumes	assume	VERB
ajbmeb-989	115	22	linearity	linearity	NOUN
ajbmeb-989	115	23	between	between	ADP
ajbmeb-989	115	24	the	the	DET
ajbmeb-989	115	25	independent	independent	ADJ
ajbmeb-989	115	26	variables	variable	NOUN
ajbmeb-989	115	27	and	and	CCONJ
ajbmeb-989	115	28	the	the	DET
ajbmeb-989	115	29	logarithm	logarithm	NOUN
ajbmeb-989	115	30	of	of	ADP
ajbmeb-989	115	31	probability	probability	NOUN
ajbmeb-989	115	32	(	(	PUNCT
ajbmeb-989	115	33	cook	cook	VERB
ajbmeb-989	115	34	et	et	PROPN
ajbmeb-989	115	35	al	al	PROPN
ajbmeb-989	115	36	.	.	PROPN
ajbmeb-989	115	37	,	,	PUNCT
ajbmeb-989	115	38	2001	2001	NUM
ajbmeb-989	115	39	)	)	PUNCT
ajbmeb-989	115	40	.	.	PUNCT
ajbmeb-989	116	1	2	2	NUM
ajbmeb-989	116	2	-	-	SYM
ajbmeb-989	116	3	2	2	NUM
ajbmeb-989	116	4	model	model	NOUN
ajbmeb-989	116	5	estimation	estimation	NOUN
ajbmeb-989	116	6	2	2	NUM
ajbmeb-989	116	7	-	-	SYM
ajbmeb-989	116	8	2	2	NUM
ajbmeb-989	116	9	-	-	SYM
ajbmeb-989	116	10	1	1	NUM
ajbmeb-989	116	11	maximum	maximum	ADJ
ajbmeb-989	116	12	likelihood	likelihood	NOUN
ajbmeb-989	116	13	estimation	estimation	NOUN
ajbmeb-989	116	14	the	the	DET
ajbmeb-989	116	15	parameters	parameter	NOUN
ajbmeb-989	116	16	of	of	ADP
ajbmeb-989	116	17	the	the	DET
ajbmeb-989	116	18	multiple	multiple	ADJ
ajbmeb-989	116	19	-	-	PUNCT
ajbmeb-989	116	20	response	response	NOUN
ajbmeb-989	116	21	lrm	lrm	NOUN
ajbmeb-989	116	22	will	will	AUX
ajbmeb-989	116	23	be	be	AUX
ajbmeb-989	116	24	estimated	estimate	VERB
ajbmeb-989	116	25	in	in	ADP
ajbmeb-989	116	26	the	the	DET
ajbmeb-989	116	27	manner	manner	NOUN
ajbmeb-989	116	28	of	of	ADP
ajbmeb-989	116	29	greatest	great	ADJ
ajbmeb-989	116	30	possibility	possibility	NOUN
ajbmeb-989	116	31	(	(	PUNCT
ajbmeb-989	116	32	agresti	agresti	NOUN
ajbmeb-989	116	33	,	,	PUNCT
ajbmeb-989	116	34	1990	1990	NUM
ajbmeb-989	116	35	;	;	PUNCT
ajbmeb-989	116	36	al	al	PROPN
ajbmeb-989	116	37	-	-	PUNCT
ajbmeb-989	116	38	bayati	bayati	PROPN
ajbmeb-989	116	39	,	,	PUNCT
ajbmeb-989	116	40	2005	2005	NUM
ajbmeb-989	116	41	;	;	PUNCT
ajbmeb-989	116	42	al	al	PROPN
ajbmeb-989	116	43	-	-	PUNCT
ajbmeb-989	116	44	razami	razami	NOUN
ajbmeb-989	116	45	,	,	PUNCT
ajbmeb-989	116	46	2000	2000	NUM
ajbmeb-989	116	47	)	)	PUNCT
ajbmeb-989	116	48	which	which	PRON
ajbmeb-989	116	49	can	can	AUX
ajbmeb-989	116	50	be	be	AUX
ajbmeb-989	116	51	described	describe	VERB
ajbmeb-989	116	52	as	as	SCONJ
ajbmeb-989	116	53	follows	follow	VERB
ajbmeb-989	116	54	:	:	PUNCT
ajbmeb-989	116	55	the	the	DET
ajbmeb-989	116	56	probability	probability	NOUN
ajbmeb-989	116	57	density	density	NOUN
ajbmeb-989	116	58	function	function	NOUN
ajbmeb-989	116	59	for	for	ADP
ajbmeb-989	116	60	a	a	DET
ajbmeb-989	116	61	polynomial	polynomial	ADJ
ajbmeb-989	116	62	distribution	distribution	NOUN
ajbmeb-989	116	63	is	be	AUX
ajbmeb-989	116	64	as	as	SCONJ
ajbmeb-989	116	65	follows	follow	VERB
ajbmeb-989	116	66	:	:	PUNCT
ajbmeb-989	116	67	𝑃𝑟(𝑌𝑖1	𝑃𝑟(𝑌𝑖1	NOUN
ajbmeb-989	116	68	=	=	PUNCT
ajbmeb-989	116	69	𝑦𝑖1	𝑦𝑖1	ADV
ajbmeb-989	116	70	,	,	PUNCT
ajbmeb-989	116	71	.	.	PUNCT
ajbmeb-989	116	72	.	.	PUNCT
ajbmeb-989	116	73	.	.	PUNCT
ajbmeb-989	116	74	.	.	PUNCT
ajbmeb-989	117	1	.	.	PUNCT
ajbmeb-989	118	1	,	,	PUNCT
ajbmeb-989	118	2	𝑌𝑖𝑗	𝑌𝑖𝑗	PROPN
ajbmeb-989	118	3	=	=	SYM
ajbmeb-989	118	4	𝑦𝑖𝐽	𝑦𝑖𝐽	PROPN
ajbmeb-989	118	5	)	)	PUNCT
ajbmeb-989	119	1	=	=	SYM
ajbmeb-989	119	2	(	(	PUNCT
ajbmeb-989	119	3	𝑛𝑖	𝑛𝑖	PROPN
ajbmeb-989	119	4	𝑦𝑖𝑗	𝑦𝑖𝑗	PROPN
ajbmeb-989	119	5	,	,	PUNCT
ajbmeb-989	119	6	…	…	PUNCT
ajbmeb-989	119	7	…	…	PUNCT
ajbmeb-989	119	8	,	,	PUNCT
ajbmeb-989	119	9	𝑦𝑖𝐽	𝑦𝑖𝐽	NUM
ajbmeb-989	119	10	)	)	PUNCT
ajbmeb-989	120	1	𝜋𝑖1	𝜋𝑖1	NOUN
ajbmeb-989	120	2	𝑦𝑖1	𝑦𝑖1	ADV
ajbmeb-989	120	3	.	.	PUNCT
ajbmeb-989	120	4	.	.	PUNCT
ajbmeb-989	120	5	.	.	PUNCT
ajbmeb-989	121	1	𝜋	𝜋	X
ajbmeb-989	121	2	𝑖𝐽	𝑖𝐽	PROPN
ajbmeb-989	121	3	𝑦𝑖𝐽	𝑦𝑖𝐽	NUM
ajbmeb-989	121	4	…	…	PUNCT
ajbmeb-989	121	5	…	…	PUNCT
ajbmeb-989	121	6	.(21	.(21	NUM
ajbmeb-989	121	7	)	)	PUNCT
ajbmeb-989	121	8	hence	hence	ADV
ajbmeb-989	121	9	,	,	PUNCT
ajbmeb-989	121	10	iji	iji	VERB
ajbmeb-989	121	11	y	y	PROPN
ajbmeb-989	122	1	ij	ij	INTJ
ajbmeb-989	122	2	y	y	INTJ
ajbmeb-989	123	1	i	i	PRON
ajbmeb-989	123	2			PROPN
ajbmeb-989	123	3	....	....	SYM
ajbmeb-989	123	4	1	1	NUM
ajbmeb-989	123	5	1	1	NUM
ajbmeb-989	123	6	represents	represent	VERB
ajbmeb-989	123	7	the	the	DET
ajbmeb-989	123	8	percentage	percentage	NOUN
ajbmeb-989	123	9	of	of	ADP
ajbmeb-989	123	10	response	response	NOUN
ajbmeb-989	123	11	groups	group	NOUN
ajbmeb-989	123	12	in	in	ADP
ajbmeb-989	123	13	the	the	DET
ajbmeb-989	123	14	community	community	NOUN
ajbmeb-989	123	15	.	.	PUNCT
ajbmeb-989	124	1			ADJ
ajbmeb-989	124	2			NOUN
ajbmeb-989	124	3	ijyn	ijyn	NOUN
ajbmeb-989	125	1	i	i	PRON
ajbmeb-989	125	2	j	j	PROPN
ajbmeb-989	126	1	j	j	PROPN
ajbmeb-989	126	2	j	j	PROPN
ajbmeb-989	126	3	xl	xl	PROPN
ajbmeb-989	126	4			PROPN
ajbmeb-989	126	5	=	=	PUNCT
ajbmeb-989	126	6	=	=	SYM
ajbmeb-989	126	7	=	=	SYM
ajbmeb-989	126	8	1	1	NUM
ajbmeb-989	126	9	1	1	NUM
ajbmeb-989	126	10	)	)	PUNCT
ajbmeb-989	126	11	(	(	PUNCT
ajbmeb-989	126	12	)	)	PUNCT
ajbmeb-989	126	13	(	(	PUNCT
ajbmeb-989	126	14			PROPN
ajbmeb-989	126	15	…	…	PUNCT
ajbmeb-989	126	16	…	…	PUNCT
ajbmeb-989	126	17	..	..	PUNCT
ajbmeb-989	126	18	(	(	PUNCT
ajbmeb-989	126	19	22	22	X
ajbmeb-989	126	20	)	)	PUNCT
ajbmeb-989	126	21	calculating	calculate	VERB
ajbmeb-989	126	22	the	the	DET
ajbmeb-989	126	23	logarithm	logarithm	NOUN
ajbmeb-989	126	24	of	of	ADP
ajbmeb-989	126	25	the	the	DET
ajbmeb-989	126	26	possible	possible	ADJ
ajbmeb-989	126	27	function	function	NOUN
ajbmeb-989	126	28	,	,	PUNCT
ajbmeb-989	126	29	we	we	PRON
ajbmeb-989	126	30	get	get	VERB
ajbmeb-989	126	31	:	:	PUNCT
ajbmeb-989	126	32	𝐿𝑁	𝐿𝑁	PROPN
ajbmeb-989	126	33	𝐿(𝛽	𝐿(𝛽	NUM
ajbmeb-989	126	34	)	)	PUNCT
ajbmeb-989	126	35	=	=	SYM
ajbmeb-989	127	1	∑	∑	PUNCT
ajbmeb-989	127	2	∑	∑	PUNCT
ajbmeb-989	127	3	𝑦𝑖𝑗	𝑦𝑖𝑗	VERB
ajbmeb-989	127	4	𝑙𝑜𝑔	𝑙𝑜𝑔	ADV
ajbmeb-989	127	5	𝜋𝑗(𝑥)𝑗𝑖	𝜋𝑗(𝑥)𝑗𝑖	ADV
ajbmeb-989	127	6	…	…	NUM
ajbmeb-989	127	7	…	…	PUNCT
ajbmeb-989	127	8	..	..	PUNCT
ajbmeb-989	127	9	(23	(23	X
ajbmeb-989	127	10	)	)	PUNCT
ajbmeb-989	127	11	american	american	PROPN
ajbmeb-989	127	12	journal	journal	PROPN
ajbmeb-989	127	13	of	of	ADP
ajbmeb-989	127	14	business	business	NOUN
ajbmeb-989	127	15	management	management	NOUN
ajbmeb-989	127	16	,	,	PUNCT
ajbmeb-989	127	17	economics	economic	NOUN
ajbmeb-989	127	18	and	and	CCONJ
ajbmeb-989	127	19	banking	banking	NOUN
ajbmeb-989	127	20	volume	volume	NOUN
ajbmeb-989	127	21	13	13	NUM
ajbmeb-989	127	22	june	june	PROPN
ajbmeb-989	127	23	,	,	PUNCT
ajbmeb-989	127	24	2023	2023	NUM
ajbmeb-989	127	25	p	p	NOUN
ajbmeb-989	127	26	a	a	DET
ajbmeb-989	127	27	g	g	NOUN
ajbmeb-989	127	28	e	e	NOUN
ajbmeb-989	127	29	|	|	ADV
ajbmeb-989	127	30	81	81	NUM
ajbmeb-989	127	31	www.americanjournal.org	www.americanjournal.org	NOUN
ajbmeb-989	127	32	substituting	substitute	VERB
ajbmeb-989	127	33	πj	πj	PROPN
ajbmeb-989	127	34	(	(	PUNCT
ajbmeb-989	127	35	x	x	X
ajbmeb-989	127	36	)	)	PUNCT
ajbmeb-989	127	37	into	into	ADP
ajbmeb-989	127	38	equation	equation	NOUN
ajbmeb-989	127	39	(	(	PUNCT
ajbmeb-989	127	40	23	23	NUM
ajbmeb-989	127	41	)	)	PUNCT
ajbmeb-989	127	42	,	,	PUNCT
ajbmeb-989	127	43	we	we	PRON
ajbmeb-989	127	44	get	get	VERB
ajbmeb-989	127	45	:	:	PUNCT
ajbmeb-989	127	46	𝐿𝑁	𝐿𝑁	PROPN
ajbmeb-989	127	47	𝐿	𝐿	PROPN
ajbmeb-989	127	48	(	(	PUNCT
ajbmeb-989	127	49	𝛽	𝛽	NOUN
ajbmeb-989	127	50	)	)	PUNCT
ajbmeb-989	127	51	=	=	SYM
ajbmeb-989	128	1	∑	∑	PUNCT
ajbmeb-989	128	2	∑	∑	PUNCT
ajbmeb-989	128	3	𝑦𝑖𝑗	𝑦𝑖𝑗	VERB
ajbmeb-989	128	4	𝑙𝑜𝑔	𝑙𝑜𝑔	NOUN
ajbmeb-989	128	5	𝑒	𝑒	PROPN
ajbmeb-989	128	6	𝛼𝑗+𝛽𝑗	𝛼𝑗+𝛽𝑗	NOUN
ajbmeb-989	128	7	′	′	NUM
ajbmeb-989	128	8	𝑥	𝑥	DET
ajbmeb-989	128	9	1+∑	1+∑	NUM
ajbmeb-989	128	10	𝑒	𝑒	NOUN
ajbmeb-989	128	11	𝛼𝑗+𝛽𝑗	𝛼𝑗+𝛽𝑗	NOUN
ajbmeb-989	128	12	′	′	NUM
ajbmeb-989	128	13	𝑥𝐽	𝑥𝐽	NOUN
ajbmeb-989	128	14	𝑗=1	𝑗=1	NOUN
ajbmeb-989	128	15	𝑗𝑖	𝑗𝑖	ADJ
ajbmeb-989	128	16	…	…	PUNCT
ajbmeb-989	128	17	…	…	PUNCT
ajbmeb-989	128	18	.(24	.(24	X
ajbmeb-989	128	19	)	)	PUNCT
ajbmeb-989	129	1	=	=	PUNCT
ajbmeb-989	129	2	∑	∑	PUNCT
ajbmeb-989	129	3	∑	∑	X
ajbmeb-989	129	4	𝑦𝑖𝑗(𝛼𝑗	𝑦𝑖𝑗(𝛼𝑗	ADJ
ajbmeb-989	129	5	+	+	CCONJ
ajbmeb-989	129	6	𝛽𝑗	𝛽𝑗	ADP
ajbmeb-989	129	7	′	′	NUM
ajbmeb-989	129	8	𝑥	𝑥	X
ajbmeb-989	129	9	)	)	PUNCT
ajbmeb-989	129	10	𝑗𝑖	𝑗𝑖	INTJ
ajbmeb-989	129	11	−	−	PROPN
ajbmeb-989	129	12	∑	∑	ADP
ajbmeb-989	129	13	∑	∑	PUNCT
ajbmeb-989	129	14	𝑦𝑖𝑗	𝑦𝑖𝑗	NOUN
ajbmeb-989	129	15	𝐿𝑜𝑔(1	𝐿𝑜𝑔(1	NOUN
ajbmeb-989	130	1	+	+	CCONJ
ajbmeb-989	130	2	∑	∑	PROPN
ajbmeb-989	130	3	𝑒𝛼𝑗+𝛽𝑗	𝑒𝛼𝑗+𝛽𝑗	NOUN
ajbmeb-989	130	4	′	′	NUM
ajbmeb-989	130	5	𝑥𝐽	𝑥𝐽	NOUN
ajbmeb-989	130	6	𝑗=1𝑗𝑖	𝑗=1𝑗𝑖	NOUN
ajbmeb-989	130	7	)	)	PUNCT
ajbmeb-989	130	8	…	…	PUNCT
ajbmeb-989	130	9	…	…	PUNCT
ajbmeb-989	130	10	.(25	.(25	X
ajbmeb-989	130	11	)	)	PUNCT
ajbmeb-989	130	12	by	by	ADP
ajbmeb-989	130	13	deriving	derive	VERB
ajbmeb-989	130	14	the	the	DET
ajbmeb-989	130	15	maximum	maximum	ADJ
ajbmeb-989	130	16	possibility	possibility	NOUN
ajbmeb-989	130	17	function	function	NOUN
ajbmeb-989	130	18	with	with	ADP
ajbmeb-989	130	19	respect	respect	NOUN
ajbmeb-989	130	20	to	to	ADP
ajbmeb-989	130	21	the	the	DET
ajbmeb-989	130	22	parameter	parameter	NOUN
ajbmeb-989	130	23	vector	vector	NOUN
ajbmeb-989	130	24	(	(	PUNCT
ajbmeb-989	130	25	β	β	NOUN
ajbmeb-989	130	26	)	)	PUNCT
ajbmeb-989	130	27	∂lnl(β	∂lnl(β	PROPN
ajbmeb-989	130	28	)	)	PUNCT
ajbmeb-989	130	29	∂(β	∂(β	PROPN
ajbmeb-989	130	30	)	)	PUNCT
ajbmeb-989	130	31	=	=	PUNCT
ajbmeb-989	131	1	∑	∑	PUNCT
ajbmeb-989	131	2	∑	∑	PUNCT
ajbmeb-989	131	3	yij((αj+βj	yij((αj+βj	ADJ
ajbmeb-989	131	4	′	′	NUM
ajbmeb-989	131	5	x	x	X
ajbmeb-989	131	6	)	)	PUNCT
ajbmeb-989	131	7	ji	ji	PROPN
ajbmeb-989	131	8	∂(β	∂(β	PROPN
ajbmeb-989	131	9	)	)	PUNCT
ajbmeb-989	131	10	−	−	PROPN
ajbmeb-989	132	1	∑	∑	PROPN
ajbmeb-989	132	2	∑	∑	PUNCT
ajbmeb-989	132	3	yij	yij	PROPN
ajbmeb-989	132	4	log(1+∑	log(1+∑	X
ajbmeb-989	132	5	e	e	NOUN
ajbmeb-989	132	6	αj+βj	αj+βj	NOUN
ajbmeb-989	132	7	′	′	NUM
ajbmeb-989	132	8	xj	xj	NOUN
ajbmeb-989	132	9	j=1	j=1	PROPN
ajbmeb-989	132	10	)	)	PUNCT
ajbmeb-989	132	11	ji	ji	PROPN
ajbmeb-989	132	12	∂(β	∂(β	PROPN
ajbmeb-989	132	13	)	)	PUNCT
ajbmeb-989	132	14	…	…	PUNCT
ajbmeb-989	132	15	…	…	PUNCT
ajbmeb-989	132	16	…	…	PUNCT
ajbmeb-989	132	17	(	(	PUNCT
ajbmeb-989	132	18	26	26	NUM
ajbmeb-989	132	19	)	)	PUNCT
ajbmeb-989	132	20	when	when	SCONJ
ajbmeb-989	132	21	equating	equate	VERB
ajbmeb-989	132	22	the	the	DET
ajbmeb-989	132	23	derivative	derivative	NOUN
ajbmeb-989	132	24	to	to	ADP
ajbmeb-989	132	25	zero	zero	NUM
ajbmeb-989	132	26	(	(	PUNCT
ajbmeb-989	132	27	∂lnl(β	∂lnl(β	PROPN
ajbmeb-989	132	28	)	)	PUNCT
ajbmeb-989	132	29	∂(β	∂(β	PROPN
ajbmeb-989	132	30	)	)	PUNCT
ajbmeb-989	132	31	=	=	NOUN
ajbmeb-989	132	32	0	0	NUM
ajbmeb-989	132	33	)	)	PUNCT
ajbmeb-989	132	34	,	,	PUNCT
ajbmeb-989	132	35	we	we	PRON
ajbmeb-989	132	36	get	get	VERB
ajbmeb-989	132	37	natural	natural	ADJ
ajbmeb-989	132	38	equations	equation	NOUN
ajbmeb-989	132	39	,	,	PUNCT
ajbmeb-989	132	40	and	and	CCONJ
ajbmeb-989	132	41	the	the	DET
ajbmeb-989	132	42	roots	root	NOUN
ajbmeb-989	132	43	of	of	ADP
ajbmeb-989	132	44	these	these	DET
ajbmeb-989	132	45	equations	equation	NOUN
ajbmeb-989	132	46	represent	represent	VERB
ajbmeb-989	132	47	the	the	DET
ajbmeb-989	132	48	values	value	NOUN
ajbmeb-989	132	49	of	of	ADP
ajbmeb-989	132	50	the	the	DET
ajbmeb-989	132	51	estimated	estimate	VERB
ajbmeb-989	132	52	parameters	parameter	NOUN
ajbmeb-989	132	53	resulting	result	VERB
ajbmeb-989	132	54	from	from	ADP
ajbmeb-989	132	55	the	the	DET
ajbmeb-989	132	56	process	process	NOUN
ajbmeb-989	132	57	of	of	ADP
ajbmeb-989	132	58	maximization	maximization	NOUN
ajbmeb-989	132	59	and	and	CCONJ
ajbmeb-989	132	60	because	because	SCONJ
ajbmeb-989	132	61	the	the	DET
ajbmeb-989	132	62	equations	equation	NOUN
ajbmeb-989	132	63	are	be	AUX
ajbmeb-989	132	64	non	non	ADJ
ajbmeb-989	132	65	-	-	ADJ
ajbmeb-989	132	66	linear	linear	ADJ
ajbmeb-989	132	67	,	,	PUNCT
ajbmeb-989	132	68	we	we	PRON
ajbmeb-989	132	69	resort	resort	VERB
ajbmeb-989	132	70	to	to	ADP
ajbmeb-989	132	71	using	use	VERB
ajbmeb-989	132	72	one	one	NUM
ajbmeb-989	132	73	of	of	ADP
ajbmeb-989	132	74	the	the	DET
ajbmeb-989	132	75	iterative	iterative	NOUN
ajbmeb-989	132	76	methods	method	NOUN
ajbmeb-989	132	77	(	(	PUNCT
ajbmeb-989	132	78	newton	newton	PROPN
ajbmeb-989	132	79	raphson	raphson	PROPN
ajbmeb-989	132	80	)	)	PUNCT
ajbmeb-989	132	81	,	,	PUNCT
ajbmeb-989	132	82	which	which	PRON
ajbmeb-989	132	83	produces	produce	VERB
ajbmeb-989	132	84	appropriate	appropriate	ADJ
ajbmeb-989	132	85	estimates	estimate	NOUN
ajbmeb-989	132	86	according	accord	VERB
ajbmeb-989	132	87	to	to	ADP
ajbmeb-989	132	88	the	the	DET
ajbmeb-989	132	89	following	follow	VERB
ajbmeb-989	132	90	formula	formula	NOUN
ajbmeb-989	132	91	:	:	PUNCT
ajbmeb-989	132	92	b(t	b(t	NOUN
ajbmeb-989	132	93	+	+	NOUN
ajbmeb-989	132	94	1	1	X
ajbmeb-989	132	95	)	)	PUNCT
ajbmeb-989	132	96	=	=	SYM
ajbmeb-989	132	97	b(t	b(t	PROPN
ajbmeb-989	132	98	)	)	PUNCT
ajbmeb-989	133	1	+	+	CCONJ
ajbmeb-989	133	2	{	{	PUNCT
ajbmeb-989	133	3	x	x	SYM
ajbmeb-989	133	4	́	́	PROPN
ajbmeb-989	133	5	v(t)x	v(t)x	PROPN
ajbmeb-989	133	6	}	}	PUNCT
ajbmeb-989	133	7	−1	−1	NOUN
ajbmeb-989	133	8	x́r(t)	x́r(t)	PROPN
ajbmeb-989	133	9	…	…	PUNCT
ajbmeb-989	133	10	…	…	PUNCT
ajbmeb-989	133	11	.(27	.(27	X
ajbmeb-989	133	12	)	)	PUNCT
ajbmeb-989	133	13	where	where	SCONJ
ajbmeb-989	133	14	,	,	PUNCT
ajbmeb-989	133	15	t	t	PROPN
ajbmeb-989	133	16	:	:	PUNCT
ajbmeb-989	133	17	represents	represent	VERB
ajbmeb-989	133	18	the	the	DET
ajbmeb-989	133	19	number	number	NOUN
ajbmeb-989	133	20	of	of	ADP
ajbmeb-989	133	21	cascades	cascade	NOUN
ajbmeb-989	133	22	r	r	NOUN
ajbmeb-989	133	23	:	:	PUNCT
ajbmeb-989	133	24	represents	represent	VERB
ajbmeb-989	133	25	the	the	DET
ajbmeb-989	133	26	remainder	remainder	NOUN
ajbmeb-989	133	27	vector	vector	NOUN
ajbmeb-989	133	28	with	with	ADP
ajbmeb-989	133	29	dimension	dimension	NOUN
ajbmeb-989	133	30	[	[	X
ajbmeb-989	133	31	n(g-1),1	n(g-1),1	X
ajbmeb-989	133	32	]	]	X
ajbmeb-989	133	33	v	v	NOUN
ajbmeb-989	133	34	:	:	PUNCT
ajbmeb-989	133	35	is	be	AUX
ajbmeb-989	133	36	diag(v1	diag(v1	X
ajbmeb-989	133	37	…	…	PUNCT
ajbmeb-989	133	38	…	…	PUNCT
ajbmeb-989	133	39	vn)and	vn)and	NOUN
ajbmeb-989	133	40	each	each	DET
ajbmeb-989	133	41	vi	vi	PROPN
ajbmeb-989	133	42	is	be	AUX
ajbmeb-989	133	43	a	a	DET
ajbmeb-989	133	44	square	square	ADJ
ajbmeb-989	133	45	array	array	NOUN
ajbmeb-989	133	46	written	write	VERB
ajbmeb-989	133	47	in	in	ADP
ajbmeb-989	133	48	the	the	DET
ajbmeb-989	133	49	following	follow	VERB
ajbmeb-989	133	50	form	form	NOUN
ajbmeb-989	133	51	:	:	PUNCT
ajbmeb-989	133	52	vi	vi	PROPN
ajbmeb-989	133	53	=	=	SYM
ajbmeb-989	133	54	ni	ni	PROPN
ajbmeb-989	133	55	{	{	PUNCT
ajbmeb-989	133	56	ps	ps	PROPN
ajbmeb-989	133	57	(	(	PUNCT
ajbmeb-989	133	58	xi)(δst	xi)(δst	NOUN
ajbmeb-989	133	59	−	−	PROPN
ajbmeb-989	133	60	pt(xi))}st	pt(xi))}st	PROPN
ajbmeb-989	133	61	…	…	PUNCT
ajbmeb-989	133	62	…	…	PUNCT
ajbmeb-989	133	63	(28	(28	NUM
ajbmeb-989	133	64	)	)	PUNCT
ajbmeb-989	133	65	and	and	CCONJ
ajbmeb-989	133	66	that	that	SCONJ
ajbmeb-989	133	67	δstis	δstis	NOUN
ajbmeb-989	133	68	the	the	DET
ajbmeb-989	133	69	kronecker	kronecker	NOUN
ajbmeb-989	133	70	delta	delta	NOUN
ajbmeb-989	133	71	and	and	CCONJ
ajbmeb-989	133	72	is	be	AUX
ajbmeb-989	133	73	defined	define	VERB
ajbmeb-989	133	74	by	by	ADP
ajbmeb-989	133	75	the	the	DET
ajbmeb-989	133	76	following	following	NOUN
ajbmeb-989	133	77	:	:	PUNCT
ajbmeb-989	133	78	δst=	δst=	PROPN
ajbmeb-989	133	79	[	[	PUNCT
ajbmeb-989	133	80	1	1	NUM
ajbmeb-989	133	81	s	s	NOUN
ajbmeb-989	133	82	=	=	X
ajbmeb-989	133	83	t	t	PROPN
ajbmeb-989	133	84	0	0	NUM
ajbmeb-989	133	85	s	s	PART
ajbmeb-989	133	86	≠	≠	PROPN
ajbmeb-989	133	87	t	t	NOUN
ajbmeb-989	133	88	]	]	PUNCT
ajbmeb-989	133	89	accordingly	accordingly	ADV
ajbmeb-989	133	90	,	,	PUNCT
ajbmeb-989	133	91	we	we	PRON
ajbmeb-989	133	92	can	can	AUX
ajbmeb-989	133	93	start	start	VERB
ajbmeb-989	133	94	from	from	ADP
ajbmeb-989	133	95	initial	initial	ADJ
ajbmeb-989	133	96	values	value	NOUN
ajbmeb-989	133	97	by	by	ADP
ajbmeb-989	133	98	equating	equate	VERB
ajbmeb-989	133	99	the	the	DET
ajbmeb-989	133	100	feature	feature	NOUN
ajbmeb-989	133	101	vector	vector	NOUN
ajbmeb-989	133	102	to	to	ADP
ajbmeb-989	133	103	zero	zero	NUM
ajbmeb-989	133	104	,	,	PUNCT
ajbmeb-989	133	105	and	and	CCONJ
ajbmeb-989	133	106	in	in	ADP
ajbmeb-989	133	107	the	the	DET
ajbmeb-989	133	108	binary	binary	ADJ
ajbmeb-989	133	109	case	case	NOUN
ajbmeb-989	133	110	,	,	PUNCT
ajbmeb-989	133	111	the	the	DET
ajbmeb-989	133	112	graph	graph	NOUN
ajbmeb-989	133	113	or	or	CCONJ
ajbmeb-989	133	114	the	the	DET
ajbmeb-989	133	115	usual	usual	ADJ
ajbmeb-989	133	116	least	least	ADJ
ajbmeb-989	133	117	squares	square	NOUN
ajbmeb-989	133	118	method	method	NOUN
ajbmeb-989	133	119	can	can	AUX
ajbmeb-989	133	120	be	be	AUX
ajbmeb-989	133	121	used	use	VERB
ajbmeb-989	133	122	,	,	PUNCT
ajbmeb-989	133	123	or	or	CCONJ
ajbmeb-989	133	124	the	the	DET
ajbmeb-989	133	125	estimates	estimate	NOUN
ajbmeb-989	133	126	of	of	ADP
ajbmeb-989	133	127	the	the	DET
ajbmeb-989	133	128	linear	linear	PROPN
ajbmeb-989	133	129	discrimination	discrimination	NOUN
ajbmeb-989	133	130	function	function	NOUN
ajbmeb-989	133	131	can	can	AUX
ajbmeb-989	133	132	be	be	AUX
ajbmeb-989	133	133	used	use	VERB
ajbmeb-989	133	134	as	as	ADP
ajbmeb-989	133	135	initial	initial	ADJ
ajbmeb-989	133	136	values	value	NOUN
ajbmeb-989	133	137	in	in	ADP
ajbmeb-989	133	138	estimating	estimate	VERB
ajbmeb-989	133	139	the	the	DET
ajbmeb-989	133	140	features	feature	NOUN
ajbmeb-989	133	141	,	,	PUNCT
ajbmeb-989	133	142	as	as	SCONJ
ajbmeb-989	133	143	their	their	PRON
ajbmeb-989	133	144	use	use	NOUN
ajbmeb-989	133	145	will	will	AUX
ajbmeb-989	133	146	reduce	reduce	VERB
ajbmeb-989	133	147	the	the	DET
ajbmeb-989	133	148	number	number	NOUN
ajbmeb-989	133	149	of	of	ADP
ajbmeb-989	133	150	successive	successive	ADJ
ajbmeb-989	133	151	cycles	cycle	NOUN
ajbmeb-989	133	152	,	,	PUNCT
ajbmeb-989	133	153	and	and	CCONJ
ajbmeb-989	133	154	when	when	SCONJ
ajbmeb-989	133	155	obtaining	obtain	VERB
ajbmeb-989	133	156	the	the	DET
ajbmeb-989	133	157	required	require	VERB
ajbmeb-989	133	158	convergence	convergence	NOUN
ajbmeb-989	133	159	between	between	ADP
ajbmeb-989	133	160	sessions	session	NOUN
ajbmeb-989	133	161	,	,	PUNCT
ajbmeb-989	133	162	these	these	DET
ajbmeb-989	133	163	optimal	optimal	ADJ
ajbmeb-989	133	164	estimates	estimate	NOUN
ajbmeb-989	133	165	are	be	AUX
ajbmeb-989	133	166	required	require	VERB
ajbmeb-989	133	167	.	.	PUNCT
ajbmeb-989	134	1	2	2	NUM
ajbmeb-989	134	2	-	-	SYM
ajbmeb-989	134	3	3	3	NUM
ajbmeb-989	134	4	tests	test	NOUN
ajbmeb-989	134	5	2	2	NUM
ajbmeb-989	134	6	-	-	SYM
ajbmeb-989	134	7	3	3	NUM
ajbmeb-989	134	8	-	-	SYM
ajbmeb-989	134	9	1	1	NUM
ajbmeb-989	134	10	wald	wald	NOUN
ajbmeb-989	134	11	one	one	NUM
ajbmeb-989	134	12	of	of	ADP
ajbmeb-989	134	13	the	the	DET
ajbmeb-989	134	14	important	important	ADJ
ajbmeb-989	134	15	tests	test	NOUN
ajbmeb-989	134	16	used	use	VERB
ajbmeb-989	134	17	to	to	PART
ajbmeb-989	134	18	test	test	VERB
ajbmeb-989	134	19	the	the	DET
ajbmeb-989	134	20	significance	significance	NOUN
ajbmeb-989	134	21	of	of	ADP
ajbmeb-989	134	22	the	the	DET
ajbmeb-989	134	23	effect	effect	NOUN
ajbmeb-989	134	24	of	of	ADP
ajbmeb-989	134	25	the	the	DET
ajbmeb-989	134	26	independent	independent	ADJ
ajbmeb-989	134	27	variable	variable	NOUN
ajbmeb-989	134	28	on	on	ADP
ajbmeb-989	134	29	the	the	DET
ajbmeb-989	134	30	dependent	dependent	ADJ
ajbmeb-989	134	31	variable	variable	NOUN
ajbmeb-989	134	32	in	in	ADP
ajbmeb-989	134	33	non	non	ADJ
ajbmeb-989	134	34	-	-	ADJ
ajbmeb-989	134	35	linear	linear	ADJ
ajbmeb-989	134	36	models	model	NOUN
ajbmeb-989	134	37	is	be	AUX
ajbmeb-989	134	38	the	the	DET
ajbmeb-989	134	39	wald	wald	NOUN
ajbmeb-989	134	40	test	test	NOUN
ajbmeb-989	134	41	.	.	PUNCT
ajbmeb-989	135	1	this	this	DET
ajbmeb-989	135	2	test	test	NOUN
ajbmeb-989	135	3	corresponds	correspond	VERB
ajbmeb-989	135	4	to	to	ADP
ajbmeb-989	135	5	the	the	DET
ajbmeb-989	135	6	t	t	NOUN
ajbmeb-989	135	7	-	-	PUNCT
ajbmeb-989	135	8	test	test	NOUN
ajbmeb-989	135	9	used	use	VERB
ajbmeb-989	135	10	in	in	ADP
ajbmeb-989	135	11	linear	linear	PROPN
ajbmeb-989	135	12	models	model	NOUN
ajbmeb-989	135	13	(	(	PUNCT
ajbmeb-989	135	14	garson	garson	NOUN
ajbmeb-989	135	15	,	,	PUNCT
ajbmeb-989	135	16	2013	2013	NUM
ajbmeb-989	135	17	)	)	PUNCT
ajbmeb-989	135	18	.	.	PUNCT
ajbmeb-989	136	1	the	the	DET
ajbmeb-989	136	2	formula	formula	NOUN
ajbmeb-989	136	3	for	for	ADP
ajbmeb-989	136	4	the	the	DET
ajbmeb-989	136	5	wald	wald	NOUN
ajbmeb-989	136	6	test	test	NOUN
ajbmeb-989	136	7	is	be	AUX
ajbmeb-989	136	8	as	as	SCONJ
ajbmeb-989	136	9	follows	follow	VERB
ajbmeb-989	136	10	:	:	PUNCT
ajbmeb-989	136	11	2	2	NUM
ajbmeb-989	136	12	)	)	PUNCT
ajbmeb-989	136	13	ˆ	ˆ	NOUN
ajbmeb-989	136	14	ˆ	ˆ	ADV
ajbmeb-989	136	15	(	(	PUNCT
ajbmeb-989	136	16			PROPN
ajbmeb-989	136	17			NOUN
ajbmeb-989	136	18			PRON
ajbmeb-989	136	19			PROPN
ajbmeb-989	136	20			PROPN
ajbmeb-989	136	21			NOUN
ajbmeb-989	136	22	=	=	PUNCT
ajbmeb-989	136	23			PROPN
ajbmeb-989	136	24			PROPN
ajbmeb-989	136	25	se	se	PROPN
ajbmeb-989	136	26	wt	wt	PROPN
ajbmeb-989	136	27	…	…	PUNCT
ajbmeb-989	136	28	…	…	PUNCT
ajbmeb-989	136	29	..	..	PUNCT
ajbmeb-989	136	30	(	(	PUNCT
ajbmeb-989	136	31	29	29	NUM
ajbmeb-989	136	32	)	)	PUNCT
ajbmeb-989	136	33	in	in	ADP
ajbmeb-989	136	34	statistical	statistical	ADJ
ajbmeb-989	136	35	analysis	analysis	NOUN
ajbmeb-989	136	36	,	,	PUNCT
ajbmeb-989	136	37	(	(	PUNCT
ajbmeb-989	136	38	̂	̂	NOUN
ajbmeb-989	136	39	)	)	PUNCT
ajbmeb-989	136	40	represents	represent	VERB
ajbmeb-989	136	41	the	the	DET
ajbmeb-989	136	42	parameter	parameter	NOUN
ajbmeb-989	136	43	estimate	estimate	NOUN
ajbmeb-989	136	44	and	and	CCONJ
ajbmeb-989	136	45	(	(	PUNCT
ajbmeb-989	136	46			INTJ
ajbmeb-989	136	47			NOUN
ajbmeb-989	136	48			PRON
ajbmeb-989	136	49			PROPN
ajbmeb-989	136	50			PROPN
ajbmeb-989	136	51			NOUN
ajbmeb-989	136	52	̂se	̂se	PROPN
ajbmeb-989	136	53	)	)	PUNCT
ajbmeb-989	136	54	represents	represent	VERB
ajbmeb-989	136	55	the	the	DET
ajbmeb-989	136	56	standard	standard	ADJ
ajbmeb-989	136	57	error	error	NOUN
ajbmeb-989	136	58	of	of	ADP
ajbmeb-989	136	59	the	the	DET
ajbmeb-989	136	60	parameter	parameter	NOUN
ajbmeb-989	136	61	.	.	PUNCT
ajbmeb-989	137	1	the	the	DET
ajbmeb-989	137	2	test	test	NOUN
ajbmeb-989	137	3	value	value	NOUN
ajbmeb-989	137	4	is	be	AUX
ajbmeb-989	137	5	compared	compare	VERB
ajbmeb-989	137	6	to	to	ADP
ajbmeb-989	137	7	χ2	χ2	PROPN
ajbmeb-989	137	8	a	a	DET
ajbmeb-989	137	9	chi	chi	ADV
ajbmeb-989	137	10	-	-	PUNCT
ajbmeb-989	137	11	squared	square	VERB
ajbmeb-989	137	12	distribution	distribution	NOUN
ajbmeb-989	137	13	with	with	ADP
ajbmeb-989	137	14	one	one	NUM
ajbmeb-989	137	15	degree	degree	NOUN
ajbmeb-989	137	16	of	of	ADP
ajbmeb-989	137	17	american	american	ADJ
ajbmeb-989	137	18	journal	journal	PROPN
ajbmeb-989	137	19	of	of	ADP
ajbmeb-989	137	20	business	business	NOUN
ajbmeb-989	137	21	management	management	NOUN
ajbmeb-989	137	22	,	,	PUNCT
ajbmeb-989	137	23	economics	economic	NOUN
ajbmeb-989	137	24	and	and	CCONJ
ajbmeb-989	137	25	banking	banking	NOUN
ajbmeb-989	137	26	volume	volume	NOUN
ajbmeb-989	137	27	13	13	NUM
ajbmeb-989	137	28	june	june	PROPN
ajbmeb-989	137	29	,	,	PUNCT
ajbmeb-989	137	30	2023	2023	NUM
ajbmeb-989	137	31	p	p	NOUN
ajbmeb-989	137	32	a	a	DET
ajbmeb-989	137	33	g	g	NOUN
ajbmeb-989	137	34	e	e	NOUN
ajbmeb-989	137	35	|	|	ADV
ajbmeb-989	137	36	82	82	NUM
ajbmeb-989	137	37	www.americanjournal.org	www.americanjournal.org	NOUN
ajbmeb-989	137	38	freedom	freedom	NOUN
ajbmeb-989	137	39	.	.	PUNCT
ajbmeb-989	138	1	however	however	ADV
ajbmeb-989	138	2	,	,	PUNCT
ajbmeb-989	138	3	the	the	DET
ajbmeb-989	138	4	accuracy	accuracy	NOUN
ajbmeb-989	138	5	of	of	ADP
ajbmeb-989	138	6	this	this	DET
ajbmeb-989	138	7	test	test	NOUN
ajbmeb-989	138	8	is	be	AUX
ajbmeb-989	138	9	questionable	questionable	ADJ
ajbmeb-989	138	10	in	in	ADP
ajbmeb-989	138	11	small	small	ADJ
ajbmeb-989	138	12	samples	sample	NOUN
ajbmeb-989	138	13	because	because	SCONJ
ajbmeb-989	138	14	the	the	DET
ajbmeb-989	138	15	standard	standard	ADJ
ajbmeb-989	138	16	error	error	NOUN
ajbmeb-989	138	17	may	may	AUX
ajbmeb-989	138	18	be	be	AUX
ajbmeb-989	138	19	large	large	ADJ
ajbmeb-989	138	20	.	.	PUNCT
ajbmeb-989	139	1	menard	menard	PROPN
ajbmeb-989	139	2	(	(	PUNCT
ajbmeb-989	139	3	zelen	zelen	PROPN
ajbmeb-989	139	4	,	,	PUNCT
ajbmeb-989	139	5	1983	1983	NUM
ajbmeb-989	139	6	)	)	PUNCT
ajbmeb-989	139	7	pointed	point	VERB
ajbmeb-989	139	8	out	out	ADP
ajbmeb-989	139	9	that	that	SCONJ
ajbmeb-989	139	10	large	large	ADJ
ajbmeb-989	139	11	logit	logit	NOUN
ajbmeb-989	139	12	coefficients	coefficient	NOUN
ajbmeb-989	139	13	lead	lead	VERB
ajbmeb-989	139	14	to	to	ADP
ajbmeb-989	139	15	large	large	ADJ
ajbmeb-989	139	16	standard	standard	ADJ
ajbmeb-989	139	17	errors	error	NOUN
ajbmeb-989	139	18	,	,	PUNCT
ajbmeb-989	139	19	which	which	PRON
ajbmeb-989	139	20	can	can	AUX
ajbmeb-989	139	21	reduce	reduce	VERB
ajbmeb-989	139	22	the	the	DET
ajbmeb-989	139	23	accuracy	accuracy	NOUN
ajbmeb-989	139	24	of	of	ADP
ajbmeb-989	139	25	the	the	DET
ajbmeb-989	139	26	wald	wald	PROPN
ajbmeb-989	139	27	statistic	statistic	NOUN
ajbmeb-989	139	28	and	and	CCONJ
ajbmeb-989	139	29	lead	lead	VERB
ajbmeb-989	139	30	to	to	ADP
ajbmeb-989	139	31	type	type	NOUN
ajbmeb-989	139	32	ii	ii	NOUN
ajbmeb-989	139	33	errors	error	NOUN
ajbmeb-989	139	34	.	.	PUNCT
ajbmeb-989	140	1	this	this	PRON
ajbmeb-989	140	2	is	be	AUX
ajbmeb-989	140	3	one	one	NUM
ajbmeb-989	140	4	of	of	ADP
ajbmeb-989	140	5	the	the	DET
ajbmeb-989	140	6	drawbacks	drawback	NOUN
ajbmeb-989	140	7	of	of	ADP
ajbmeb-989	140	8	the	the	DET
ajbmeb-989	140	9	wald	wald	PROPN
ajbmeb-989	140	10	statistic	statistic	NOUN
ajbmeb-989	140	11	,	,	PUNCT
ajbmeb-989	140	12	as	as	SCONJ
ajbmeb-989	140	13	very	very	ADV
ajbmeb-989	140	14	large	large	ADJ
ajbmeb-989	140	15	effects	effect	NOUN
ajbmeb-989	140	16	can	can	AUX
ajbmeb-989	140	17	lead	lead	VERB
ajbmeb-989	140	18	to	to	ADP
ajbmeb-989	140	19	large	large	ADJ
ajbmeb-989	140	20	standard	standard	ADJ
ajbmeb-989	140	21	errors	error	NOUN
ajbmeb-989	140	22	.	.	PUNCT
ajbmeb-989	141	1	in	in	ADP
ajbmeb-989	141	2	most	most	ADJ
ajbmeb-989	141	3	cases	case	NOUN
ajbmeb-989	141	4	,	,	PUNCT
ajbmeb-989	141	5	the	the	DET
ajbmeb-989	141	6	results	result	NOUN
ajbmeb-989	141	7	of	of	ADP
ajbmeb-989	141	8	this	this	DET
ajbmeb-989	141	9	test	test	NOUN
ajbmeb-989	141	10	are	be	AUX
ajbmeb-989	141	11	very	very	ADV
ajbmeb-989	141	12	similar	similar	ADJ
ajbmeb-989	141	13	to	to	ADP
ajbmeb-989	141	14	the	the	DET
ajbmeb-989	141	15	results	result	NOUN
ajbmeb-989	141	16	of	of	ADP
ajbmeb-989	141	17	the	the	DET
ajbmeb-989	141	18	odds	odd	NOUN
ajbmeb-989	141	19	ratio	ratio	NOUN
ajbmeb-989	141	20	test	test	NOUN
ajbmeb-989	141	21	(	(	PUNCT
ajbmeb-989	141	22	i.e.	i.e.	X
ajbmeb-989	141	23	,	,	PUNCT
ajbmeb-989	141	24	they	they	PRON
ajbmeb-989	141	25	rarely	rarely	ADV
ajbmeb-989	141	26	differ	differ	VERB
ajbmeb-989	141	27	)	)	PUNCT
ajbmeb-989	141	28	.	.	PUNCT
ajbmeb-989	142	1	therefore	therefore	ADV
ajbmeb-989	142	2	,	,	PUNCT
ajbmeb-989	142	3	it	it	PRON
ajbmeb-989	142	4	is	be	AUX
ajbmeb-989	142	5	best	good	ADJ
ajbmeb-989	142	6	to	to	PART
ajbmeb-989	142	7	use	use	VERB
ajbmeb-989	142	8	the	the	DET
ajbmeb-989	142	9	odds	odd	NOUN
ajbmeb-989	142	10	ratio	ratio	NOUN
ajbmeb-989	142	11	test	test	NOUN
ajbmeb-989	142	12	to	to	PART
ajbmeb-989	142	13	test	test	VERB
ajbmeb-989	142	14	for	for	ADP
ajbmeb-989	142	15	the	the	DET
ajbmeb-989	142	16	significance	significance	NOUN
ajbmeb-989	142	17	of	of	ADP
ajbmeb-989	142	18	variables	variable	NOUN
ajbmeb-989	142	19	with	with	ADP
ajbmeb-989	142	20	and	and	CCONJ
ajbmeb-989	142	21	without	without	ADP
ajbmeb-989	142	22	parameters	parameter	NOUN
ajbmeb-989	142	23	.	.	PUNCT
ajbmeb-989	143	1	additionally	additionally	ADV
ajbmeb-989	143	2	,	,	PUNCT
ajbmeb-989	143	3	logistic	logistic	ADJ
ajbmeb-989	143	4	regression	regression	NOUN
ajbmeb-989	143	5	analysis	analysis	NOUN
ajbmeb-989	143	6	is	be	AUX
ajbmeb-989	143	7	sensitive	sensitive	ADJ
ajbmeb-989	143	8	to	to	ADP
ajbmeb-989	143	9	violations	violation	NOUN
ajbmeb-989	143	10	of	of	ADP
ajbmeb-989	143	11	assumptions	assumption	NOUN
ajbmeb-989	143	12	about	about	ADP
ajbmeb-989	143	13	large	large	ADJ
ajbmeb-989	143	14	sample	sample	NOUN
ajbmeb-989	143	15	sizes	size	NOUN
ajbmeb-989	143	16	.	.	PUNCT
ajbmeb-989	144	1	for	for	ADP
ajbmeb-989	144	2	these	these	DET
ajbmeb-989	144	3	reasons	reason	NOUN
ajbmeb-989	144	4	,	,	PUNCT
ajbmeb-989	144	5	the	the	DET
ajbmeb-989	144	6	odds	odd	NOUN
ajbmeb-989	144	7	ratio	ratio	NOUN
ajbmeb-989	144	8	test	test	NOUN
ajbmeb-989	144	9	is	be	AUX
ajbmeb-989	144	10	generally	generally	ADV
ajbmeb-989	144	11	preferred	prefer	VERB
ajbmeb-989	144	12	(	(	PUNCT
ajbmeb-989	144	13	cook	cook	VERB
ajbmeb-989	144	14	et	et	PROPN
ajbmeb-989	144	15	al	al	PROPN
ajbmeb-989	144	16	.	.	PROPN
ajbmeb-989	144	17	,	,	PUNCT
ajbmeb-989	144	18	2001	2001	NUM
ajbmeb-989	144	19	)	)	PUNCT
ajbmeb-989	144	20	.	.	PUNCT
ajbmeb-989	145	1	2	2	NUM
ajbmeb-989	145	2	-	-	SYM
ajbmeb-989	145	3	3	3	NUM
ajbmeb-989	145	4	-	-	SYM
ajbmeb-989	145	5	2	2	NUM
ajbmeb-989	145	6	likelihood	likelihood	NOUN
ajbmeb-989	145	7	ratio	ratio	NOUN
ajbmeb-989	145	8	test	test	NOUN
ajbmeb-989	145	9	if	if	SCONJ
ajbmeb-989	145	10	we	we	PRON
ajbmeb-989	145	11	want	want	VERB
ajbmeb-989	145	12	to	to	PART
ajbmeb-989	145	13	test	test	VERB
ajbmeb-989	145	14	two	two	NUM
ajbmeb-989	145	15	models	model	NOUN
ajbmeb-989	145	16	,	,	PUNCT
ajbmeb-989	145	17	the	the	DET
ajbmeb-989	145	18	first	first	ADJ
ajbmeb-989	145	19	(	(	PUNCT
ajbmeb-989	145	20	)	)	PUNCT
ajbmeb-989	145	21	includes	include	VERB
ajbmeb-989	145	22	all	all	DET
ajbmeb-989	145	23	the	the	DET
ajbmeb-989	145	24	variables	variable	NOUN
ajbmeb-989	145	25	,	,	PUNCT
ajbmeb-989	145	26	and	and	CCONJ
ajbmeb-989	145	27	the	the	DET
ajbmeb-989	145	28	second	second	ADJ
ajbmeb-989	145	29	(	(	PUNCT
ajbmeb-989	145	30	lm2	lm2	NOUN
ajbmeb-989	145	31	)	)	PUNCT
ajbmeb-989	145	32	includes	include	VERB
ajbmeb-989	145	33	a	a	DET
ajbmeb-989	145	34	part	part	NOUN
ajbmeb-989	145	35	of	of	ADP
ajbmeb-989	145	36	those	those	DET
ajbmeb-989	145	37	variables	variable	NOUN
ajbmeb-989	145	38	,	,	PUNCT
ajbmeb-989	145	39	then	then	ADV
ajbmeb-989	145	40	in	in	ADP
ajbmeb-989	145	41	this	this	DET
ajbmeb-989	145	42	case	case	NOUN
ajbmeb-989	145	43	we	we	PRON
ajbmeb-989	145	44	use	use	VERB
ajbmeb-989	145	45	the	the	DET
ajbmeb-989	145	46	likelihood	likelihood	NOUN
ajbmeb-989	145	47	-	-	PUNCT
ajbmeb-989	145	48	ratio	ratio	NOUN
ajbmeb-989	145	49	test	test	NOUN
ajbmeb-989	145	50	to	to	PART
ajbmeb-989	145	51	show	show	VERB
ajbmeb-989	145	52	which	which	PRON
ajbmeb-989	145	53	of	of	ADP
ajbmeb-989	145	54	the	the	DET
ajbmeb-989	145	55	two	two	NUM
ajbmeb-989	145	56	models	model	NOUN
ajbmeb-989	145	57	has	have	VERB
ajbmeb-989	145	58	better	well	ADJ
ajbmeb-989	145	59	significance	significance	NOUN
ajbmeb-989	145	60	than	than	ADP
ajbmeb-989	145	61	the	the	DET
ajbmeb-989	145	62	other	other	ADJ
ajbmeb-989	145	63	(	(	PUNCT
ajbmeb-989	145	64	dessens	dessen	NOUN
ajbmeb-989	145	65	&	&	CCONJ
ajbmeb-989	145	66	janson	janson	PROPN
ajbmeb-989	145	67	,	,	PUNCT
ajbmeb-989	145	68	2005	2005	NUM
ajbmeb-989	145	69	)	)	PUNCT
ajbmeb-989	145	70	.	.	PUNCT
ajbmeb-989	146	1	the	the	DET
ajbmeb-989	146	2	formula	formula	NOUN
ajbmeb-989	146	3	for	for	ADP
ajbmeb-989	146	4	the	the	DET
ajbmeb-989	146	5	probability	probability	NOUN
ajbmeb-989	146	6	test	test	NOUN
ajbmeb-989	146	7	is	be	AUX
ajbmeb-989	146	8	:	:	PUNCT
ajbmeb-989	146	9	)	)	PUNCT
ajbmeb-989	146	10	30	30	NUM
ajbmeb-989	146	11	)	)	PUNCT
ajbmeb-989	146	12	......	......	PUNCT
ajbmeb-989	147	1	(	(	PUNCT
ajbmeb-989	147	2	2log	2log	NUM
ajbmeb-989	147	3	lm	lm	PROPN
ajbmeb-989	147	4	–	–	PUNCT
ajbmeb-989	147	5	12	12	NUM
ajbmeb-989	147	6	(	(	PUNCT
ajbmeb-989	147	7	log	log	NOUN
ajbmeb-989	147	8	lm-	lm-	X
ajbmeb-989	147	9	)	)	PUNCT
ajbmeb-989	148	1	=	=	SYM
ajbmeb-989	149	1	2/	2/	NUM
ajbmeb-989	149	2	lm	lm	NUM
ajbmeb-989	149	3	12	12	NUM
ajbmeb-989	149	4	log	log	NOUN
ajbmeb-989	149	5	(	(	PUNCT
ajbmeb-989	149	6	lm	lm	NOUN
ajbmeb-989	149	7	-	-	NOUN
ajbmeb-989	149	8	d	d	NOUN
ajbmeb-989	149	9	=	=	PUNCT
ajbmeb-989	149	10	whereas	whereas	SCONJ
ajbmeb-989	149	11	:	:	PUNCT
ajbmeb-989	149	12	lm1	lm1	NOUN
ajbmeb-989	149	13	:	:	PUNCT
ajbmeb-989	149	14	represents	represent	VERB
ajbmeb-989	149	15	the	the	DET
ajbmeb-989	149	16	possibility	possibility	NOUN
ajbmeb-989	149	17	function	function	NOUN
ajbmeb-989	149	18	under	under	ADP
ajbmeb-989	149	19	the	the	DET
ajbmeb-989	149	20	null	null	ADJ
ajbmeb-989	149	21	hypothesis	hypothesis	NOUN
ajbmeb-989	149	22	.	.	PUNCT
ajbmeb-989	150	1	lm1	lm1	PROPN
ajbmeb-989	150	2	lm2	lm2	PROPN
ajbmeb-989	150	3	:	:	PUNCT
ajbmeb-989	150	4	represents	represent	VERB
ajbmeb-989	150	5	the	the	DET
ajbmeb-989	150	6	possibility	possibility	NOUN
ajbmeb-989	150	7	function	function	NOUN
ajbmeb-989	150	8	under	under	ADP
ajbmeb-989	150	9	the	the	DET
ajbmeb-989	150	10	alternative	alternative	NOUN
ajbmeb-989	150	11	hypothesis.lm2	hypothesis.lm2	PROPN
ajbmeb-989	150	12	the	the	DET
ajbmeb-989	150	13	d	d	PROPN
ajbmeb-989	150	14	value	value	NOUN
ajbmeb-989	150	15	is	be	AUX
ajbmeb-989	150	16	close	close	ADJ
ajbmeb-989	150	17	to	to	ADP
ajbmeb-989	150	18	the	the	DET
ajbmeb-989	150	19	distribution	distribution	NOUN
ajbmeb-989	150	20	of	of	ADP
ajbmeb-989	150	21	and	and	CCONJ
ajbmeb-989	150	22	compared	compare	VERB
ajbmeb-989	150	23	with	with	ADP
ajbmeb-989	150	24	the	the	DET
ajbmeb-989	150	25	tabular	tabular	ADJ
ajbmeb-989	150	26	value	value	NOUN
ajbmeb-989	150	27	of	of	ADP
ajbmeb-989	150	28	the	the	DET
ajbmeb-989	150	29	distribution	distribution	NOUN
ajbmeb-989	150	30	with	with	ADP
ajbmeb-989	150	31	a	a	DET
ajbmeb-989	150	32	degree	degree	NOUN
ajbmeb-989	150	33	of	of	ADP
ajbmeb-989	150	34	freedom	freedom	NOUN
ajbmeb-989	150	35	that	that	PRON
ajbmeb-989	150	36	represents	represent	VERB
ajbmeb-989	150	37	the	the	DET
ajbmeb-989	150	38	difference	difference	NOUN
ajbmeb-989	150	39	between	between	ADP
ajbmeb-989	150	40	the	the	DET
ajbmeb-989	150	41	parameters	parameter	NOUN
ajbmeb-989	150	42	of	of	ADP
ajbmeb-989	150	43	the	the	DET
ajbmeb-989	150	44	two	two	NUM
ajbmeb-989	150	45	models	model	NOUN
ajbmeb-989	150	46	.	.	PUNCT
ajbmeb-989	151	1	2	2	NUM
ajbmeb-989	151	2	-	-	SYM
ajbmeb-989	151	3	4	4	NUM
ajbmeb-989	151	4	model	model	NOUN
ajbmeb-989	151	5	quality	quality	NOUN
ajbmeb-989	151	6	the	the	DET
ajbmeb-989	151	7	quality	quality	NOUN
ajbmeb-989	151	8	of	of	ADP
ajbmeb-989	151	9	relevance	relevance	NOUN
ajbmeb-989	151	10	means	mean	VERB
ajbmeb-989	151	11	how	how	SCONJ
ajbmeb-989	151	12	appropriate	appropriate	ADJ
ajbmeb-989	151	13	the	the	DET
ajbmeb-989	151	14	statistical	statistical	ADJ
ajbmeb-989	151	15	model	model	NOUN
ajbmeb-989	151	16	is	be	AUX
ajbmeb-989	151	17	to	to	ADP
ajbmeb-989	151	18	the	the	DET
ajbmeb-989	151	19	data	datum	NOUN
ajbmeb-989	151	20	of	of	ADP
ajbmeb-989	151	21	the	the	DET
ajbmeb-989	151	22	study	study	NOUN
ajbmeb-989	151	23	sample	sample	NOUN
ajbmeb-989	151	24	.	.	PUNCT
ajbmeb-989	152	1	the	the	DET
ajbmeb-989	152	2	quality	quality	NOUN
ajbmeb-989	152	3	of	of	ADP
ajbmeb-989	152	4	relevance	relevance	NOUN
ajbmeb-989	152	5	measures	measure	NOUN
ajbmeb-989	152	6	measure	measure	VERB
ajbmeb-989	152	7	the	the	DET
ajbmeb-989	152	8	closeness	closeness	NOUN
ajbmeb-989	152	9	between	between	ADP
ajbmeb-989	152	10	the	the	DET
ajbmeb-989	152	11	observed	observe	VERB
ajbmeb-989	152	12	and	and	CCONJ
ajbmeb-989	152	13	expected	expect	VERB
ajbmeb-989	152	14	values	value	NOUN
ajbmeb-989	152	15	of	of	ADP
ajbmeb-989	152	16	the	the	DET
ajbmeb-989	152	17	model	model	NOUN
ajbmeb-989	152	18	.	.	PUNCT
ajbmeb-989	153	1	here	here	ADV
ajbmeb-989	153	2	are	be	AUX
ajbmeb-989	153	3	some	some	DET
ajbmeb-989	153	4	important	important	ADJ
ajbmeb-989	153	5	tests	test	NOUN
ajbmeb-989	153	6	for	for	ADP
ajbmeb-989	153	7	relevance	relevance	NOUN
ajbmeb-989	153	8	quality	quality	NOUN
ajbmeb-989	153	9	.	.	PUNCT
ajbmeb-989	154	1	2	2	NUM
ajbmeb-989	154	2	-	-	SYM
ajbmeb-989	154	3	4	4	NUM
ajbmeb-989	154	4	-	-	SYM
ajbmeb-989	154	5	1	1	NUM
ajbmeb-989	154	6	chi	chi	PROPN
ajbmeb-989	154	7	square	square	PROPN
ajbmeb-989	154	8	test	test	NOUN
ajbmeb-989	154	9	χ2	χ2	PROPN
ajbmeb-989	154	10	it	it	PRON
ajbmeb-989	154	11	is	be	AUX
ajbmeb-989	154	12	one	one	NUM
ajbmeb-989	154	13	of	of	ADP
ajbmeb-989	154	14	the	the	DET
ajbmeb-989	154	15	important	important	ADJ
ajbmeb-989	154	16	tests	test	NOUN
ajbmeb-989	154	17	used	use	VERB
ajbmeb-989	154	18	to	to	PART
ajbmeb-989	154	19	fit	fit	VERB
ajbmeb-989	154	20	or	or	CCONJ
ajbmeb-989	154	21	define	define	VERB
ajbmeb-989	154	22	the	the	DET
ajbmeb-989	154	23	quality	quality	NOUN
ajbmeb-989	154	24	of	of	ADP
ajbmeb-989	154	25	the	the	DET
ajbmeb-989	154	26	model	model	NOUN
ajbmeb-989	154	27	,	,	PUNCT
ajbmeb-989	154	28	and	and	CCONJ
ajbmeb-989	154	29	it	it	PRON
ajbmeb-989	154	30	shows	show	VERB
ajbmeb-989	154	31	how	how	SCONJ
ajbmeb-989	154	32	the	the	DET
ajbmeb-989	154	33	model	model	NOUN
ajbmeb-989	154	34	describes	describe	VERB
ajbmeb-989	154	35	the	the	DET
ajbmeb-989	154	36	response	response	NOUN
ajbmeb-989	154	37	variable	variable	NOUN
ajbmeb-989	154	38	,	,	PUNCT
ajbmeb-989	154	39	which	which	PRON
ajbmeb-989	154	40	is	be	AUX
ajbmeb-989	154	41	equal	equal	ADJ
ajbmeb-989	154	42	to	to	ADP
ajbmeb-989	154	43	the	the	DET
ajbmeb-989	154	44	sum	sum	NOUN
ajbmeb-989	154	45	of	of	ADP
ajbmeb-989	154	46	squares	square	NOUN
ajbmeb-989	154	47	.	.	PUNCT
ajbmeb-989	155	1	the	the	DET
ajbmeb-989	155	2	differences	difference	NOUN
ajbmeb-989	155	3	between	between	ADP
ajbmeb-989	155	4	the	the	DET
ajbmeb-989	155	5	observed	observe	VERB
ajbmeb-989	155	6	and	and	CCONJ
ajbmeb-989	155	7	expected	expect	VERB
ajbmeb-989	155	8	values	value	NOUN
ajbmeb-989	155	9	divided	divide	VERB
ajbmeb-989	155	10	by	by	ADP
ajbmeb-989	155	11	the	the	DET
ajbmeb-989	155	12	expected	expect	VERB
ajbmeb-989	155	13	values	value	NOUN
ajbmeb-989	155	14	,	,	PUNCT
ajbmeb-989	155	15	and	and	CCONJ
ajbmeb-989	155	16	estimating	estimate	VERB
ajbmeb-989	155	17	the	the	DET
ajbmeb-989	155	18	suitability	suitability	NOUN
ajbmeb-989	155	19	of	of	ADP
ajbmeb-989	155	20	the	the	DET
ajbmeb-989	155	21	model	model	NOUN
ajbmeb-989	155	22	includes	include	VERB
ajbmeb-989	155	23	the	the	DET
ajbmeb-989	155	24	convergence	convergence	NOUN
ajbmeb-989	155	25	of	of	ADP
ajbmeb-989	155	26	the	the	DET
ajbmeb-989	155	27	expected	expect	VERB
ajbmeb-989	155	28	values	value	NOUN
ajbmeb-989	155	29	from	from	ADP
ajbmeb-989	155	30	the	the	DET
ajbmeb-989	155	31	observed	observed	ADJ
ajbmeb-989	155	32	values	value	NOUN
ajbmeb-989	155	33	,	,	PUNCT
ajbmeb-989	155	34	as	as	ADP
ajbmeb-989	155	35	in	in	ADP
ajbmeb-989	155	36	the	the	DET
ajbmeb-989	155	37	following	follow	VERB
ajbmeb-989	155	38	formula	formula	NOUN
ajbmeb-989	155	39	(	(	PUNCT
ajbmeb-989	155	40	cowan	cowan	PROPN
ajbmeb-989	155	41	,	,	PUNCT
ajbmeb-989	155	42	1994	1994	NUM
ajbmeb-989	155	43	):	):	PUNCT
ajbmeb-989	155	44	.............	.............	PUNCT
ajbmeb-989	155	45	(	(	PUNCT
ajbmeb-989	155	46	31	31	NUM
ajbmeb-989	155	47	)	)	PUNCT
ajbmeb-989	155	48	=	=	PROPN
ajbmeb-989	155	49	−	−	PROPN
ajbmeb-989	155	50	ected	ecte	VERB
ajbmeb-989	155	51	ectedobserved	ectedobserve	VERB
ajbmeb-989	155	52	exp	exp	NOUN
ajbmeb-989	155	53	)	)	PUNCT
ajbmeb-989	155	54	exp(2	exp(2	ADJ
ajbmeb-989	155	55	2	2	NUM
ajbmeb-989	155	56			NOUN
ajbmeb-989	155	57	where	where	SCONJ
ajbmeb-989	155	58	(	(	PUNCT
ajbmeb-989	155	59	observed	observe	VERB
ajbmeb-989	155	60	)	)	PUNCT
ajbmeb-989	155	61	means	mean	VERB
ajbmeb-989	155	62	the	the	DET
ajbmeb-989	155	63	observed	observed	ADJ
ajbmeb-989	155	64	values	value	NOUN
ajbmeb-989	155	65	and	and	CCONJ
ajbmeb-989	155	66	(	(	PUNCT
ajbmeb-989	155	67	expected	expect	VERB
ajbmeb-989	155	68	)	)	PUNCT
ajbmeb-989	155	69	means	mean	VERB
ajbmeb-989	155	70	the	the	DET
ajbmeb-989	155	71	expected	expect	VERB
ajbmeb-989	155	72	values	value	NOUN
ajbmeb-989	155	73	,	,	PUNCT
ajbmeb-989	155	74	and	and	CCONJ
ajbmeb-989	155	75	compares	compare	VERB
ajbmeb-989	155	76	the	the	DET
ajbmeb-989	155	77	value	value	NOUN
ajbmeb-989	155	78	of	of	ADP
ajbmeb-989	155	79	the	the	DET
ajbmeb-989	155	80	test	test	NOUN
ajbmeb-989	155	81	statistic	statistic	NOUN
ajbmeb-989	155	82	with	with	ADP
ajbmeb-989	155	83	the	the	DET
ajbmeb-989	155	84	χ2	χ2	ADJ
ajbmeb-989	155	85	distribution	distribution	NOUN
ajbmeb-989	155	86	with	with	ADP
ajbmeb-989	155	87	a	a	DET
ajbmeb-989	155	88	degree	degree	NOUN
ajbmeb-989	155	89	of	of	ADP
ajbmeb-989	155	90	freedom	freedom	NOUN
ajbmeb-989	155	91	equal	equal	ADJ
ajbmeb-989	155	92	to	to	ADP
ajbmeb-989	155	93	the	the	DET
ajbmeb-989	155	94	number	number	NOUN
ajbmeb-989	155	95	of	of	ADP
ajbmeb-989	155	96	classes	class	NOUN
ajbmeb-989	155	97	minus	minus	CCONJ
ajbmeb-989	155	98	the	the	DET
ajbmeb-989	155	99	number	number	NOUN
ajbmeb-989	155	100	of	of	ADP
ajbmeb-989	155	101	parameters	parameter	NOUN
ajbmeb-989	155	102	in	in	ADP
ajbmeb-989	155	103	the	the	DET
ajbmeb-989	155	104	logistic	logistic	ADJ
ajbmeb-989	155	105	model	model	NOUN
ajbmeb-989	155	106	.	.	PUNCT
ajbmeb-989	156	1	d.f	d.f	PROPN
ajbmeb-989	156	2	=	=	PROPN
ajbmeb-989	156	3	n	n	PROPN
ajbmeb-989	156	4	–	–	PUNCT
ajbmeb-989	156	5	p	p	X
ajbmeb-989	156	6	…	…	PUNCT
ajbmeb-989	156	7	.(32	.(32	PUNCT
ajbmeb-989	157	1	whereas	whereas	SCONJ
ajbmeb-989	157	2	:	:	PUNCT
ajbmeb-989	157	3	p	p	X
ajbmeb-989	157	4	:	:	PUNCT
ajbmeb-989	157	5	represents	represent	VERB
ajbmeb-989	157	6	the	the	DET
ajbmeb-989	157	7	number	number	NOUN
ajbmeb-989	157	8	of	of	ADP
ajbmeb-989	157	9	parameters	parameter	NOUN
ajbmeb-989	157	10	,	,	PUNCT
ajbmeb-989	157	11	n	n	CCONJ
ajbmeb-989	157	12	:	:	PUNCT
ajbmeb-989	157	13	represents	represent	VERB
ajbmeb-989	157	14	the	the	DET
ajbmeb-989	157	15	number	number	NOUN
ajbmeb-989	157	16	of	of	ADP
ajbmeb-989	157	17	items	item	NOUN
ajbmeb-989	157	18	american	american	PROPN
ajbmeb-989	157	19	journal	journal	PROPN
ajbmeb-989	157	20	of	of	ADP
ajbmeb-989	157	21	business	business	NOUN
ajbmeb-989	157	22	management	management	NOUN
ajbmeb-989	157	23	,	,	PUNCT
ajbmeb-989	157	24	economics	economic	NOUN
ajbmeb-989	157	25	and	and	CCONJ
ajbmeb-989	157	26	banking	banking	NOUN
ajbmeb-989	157	27	volume	volume	NOUN
ajbmeb-989	157	28	13	13	NUM
ajbmeb-989	157	29	june	june	PROPN
ajbmeb-989	157	30	,	,	PUNCT
ajbmeb-989	157	31	2023	2023	NUM
ajbmeb-989	157	32	p	p	NOUN
ajbmeb-989	157	33	a	a	PRON
ajbmeb-989	157	34	g	g	NOUN
ajbmeb-989	157	35	e	e	NOUN
ajbmeb-989	157	36	|	|	ADV
ajbmeb-989	157	37	83	83	NUM
ajbmeb-989	157	38	www.americanjournal.org	www.americanjournal.org	NOUN
ajbmeb-989	157	39	2	2	NUM
ajbmeb-989	157	40	-	-	SYM
ajbmeb-989	157	41	4	4	NUM
ajbmeb-989	157	42	-	-	SYM
ajbmeb-989	157	43	2	2	NUM
ajbmeb-989	157	44	hosmer	hosmer	NOUN
ajbmeb-989	157	45	–	–	PUNCT
ajbmeb-989	157	46	lemeshow	lemeshow	NOUN
ajbmeb-989	157	47	this	this	DET
ajbmeb-989	157	48	test	test	NOUN
ajbmeb-989	157	49	is	be	AUX
ajbmeb-989	157	50	widely	widely	ADV
ajbmeb-989	157	51	used	use	VERB
ajbmeb-989	157	52	in	in	ADP
ajbmeb-989	157	53	estimating	estimate	VERB
ajbmeb-989	157	54	the	the	DET
ajbmeb-989	157	55	quality	quality	NOUN
ajbmeb-989	157	56	of	of	ADP
ajbmeb-989	157	57	fit	fit	NOUN
ajbmeb-989	157	58	of	of	ADP
ajbmeb-989	157	59	the	the	DET
ajbmeb-989	157	60	model	model	NOUN
ajbmeb-989	157	61	and	and	CCONJ
ajbmeb-989	157	62	allows	allow	VERB
ajbmeb-989	157	63	any	any	DET
ajbmeb-989	157	64	number	number	NOUN
ajbmeb-989	157	65	of	of	ADP
ajbmeb-989	157	66	independent	independent	ADJ
ajbmeb-989	157	67	variables	variable	NOUN
ajbmeb-989	157	68	,	,	PUNCT
ajbmeb-989	157	69	which	which	PRON
ajbmeb-989	157	70	may	may	AUX
ajbmeb-989	157	71	be	be	AUX
ajbmeb-989	157	72	continuous	continuous	ADJ
ajbmeb-989	157	73	or	or	CCONJ
ajbmeb-989	157	74	discrete	discrete	ADJ
ajbmeb-989	157	75	,	,	PUNCT
ajbmeb-989	157	76	and	and	CCONJ
ajbmeb-989	157	77	this	this	DET
ajbmeb-989	157	78	test	test	NOUN
ajbmeb-989	157	79	is	be	AUX
ajbmeb-989	157	80	somewhat	somewhat	ADV
ajbmeb-989	157	81	similar	similar	ADJ
ajbmeb-989	157	82	to	to	ADP
ajbmeb-989	157	83	the	the	DET
ajbmeb-989	157	84	χ2	χ2	PROPN
ajbmeb-989	157	85	test	test	NOUN
ajbmeb-989	157	86	for	for	ADP
ajbmeb-989	157	87	the	the	DET
ajbmeb-989	157	88	quality	quality	NOUN
ajbmeb-989	157	89	of	of	ADP
ajbmeb-989	157	90	fit	fit	NOUN
ajbmeb-989	157	91	.	.	PUNCT
ajbmeb-989	158	1	this	this	DET
ajbmeb-989	158	2	test	test	NOUN
ajbmeb-989	158	3	is	be	AUX
ajbmeb-989	158	4	as	as	ADP
ajbmeb-989	158	5	in	in	ADP
ajbmeb-989	158	6	the	the	DET
ajbmeb-989	158	7	χ2	χ2	PROPN
ajbmeb-989	158	8	method	method	NOUN
ajbmeb-989	158	9	for	for	ADP
ajbmeb-989	158	10	the	the	DET
ajbmeb-989	158	11	quality	quality	NOUN
ajbmeb-989	158	12	of	of	ADP
ajbmeb-989	158	13	fit	fit	NOUN
ajbmeb-989	158	14	and	and	CCONJ
ajbmeb-989	158	15	approaches	approach	VERB
ajbmeb-989	158	16	the	the	DET
ajbmeb-989	158	17	χ2	χ2	PROPN
ajbmeb-989	158	18	distribution	distribution	NOUN
ajbmeb-989	158	19	with	with	ADP
ajbmeb-989	158	20	a	a	DET
ajbmeb-989	158	21	degree	degree	NOUN
ajbmeb-989	158	22	of	of	ADP
ajbmeb-989	158	23	freedom	freedom	NOUN
ajbmeb-989	158	24	equal	equal	ADJ
ajbmeb-989	158	25	to	to	ADP
ajbmeb-989	158	26	the	the	DET
ajbmeb-989	158	27	number	number	NOUN
ajbmeb-989	158	28	of	of	ADP
ajbmeb-989	158	29	classes	class	NOUN
ajbmeb-989	158	30	minus	minus	CCONJ
ajbmeb-989	158	31	the	the	DET
ajbmeb-989	158	32	number	number	NOUN
ajbmeb-989	158	33	of	of	ADP
ajbmeb-989	158	34	parameters	parameter	NOUN
ajbmeb-989	158	35	in	in	ADP
ajbmeb-989	158	36	the	the	DET
ajbmeb-989	158	37	logistic	logistic	ADJ
ajbmeb-989	158	38	regression	regression	NOUN
ajbmeb-989	158	39	model	model	NOUN
ajbmeb-989	158	40	.	.	PUNCT
ajbmeb-989	159	1	with	with	ADP
ajbmeb-989	159	2	a	a	DET
ajbmeb-989	159	3	small	small	ADJ
ajbmeb-989	159	4	sample	sample	NOUN
ajbmeb-989	159	5	size	size	NOUN
ajbmeb-989	159	6	,	,	PUNCT
ajbmeb-989	159	7	this	this	DET
ajbmeb-989	159	8	test	test	NOUN
ajbmeb-989	159	9	is	be	AUX
ajbmeb-989	159	10	weak	weak	ADJ
ajbmeb-989	159	11	and	and	CCONJ
ajbmeb-989	159	12	this	this	DET
ajbmeb-989	159	13	test	test	NOUN
ajbmeb-989	159	14	requires	require	VERB
ajbmeb-989	159	15	a	a	DET
ajbmeb-989	159	16	sample	sample	NOUN
ajbmeb-989	159	17	size	size	NOUN
ajbmeb-989	159	18	of	of	ADP
ajbmeb-989	159	19	more	more	ADJ
ajbmeb-989	159	20	than	than	ADP
ajbmeb-989	159	21	400	400	NUM
ajbmeb-989	159	22	observations	observation	NOUN
ajbmeb-989	159	23	(	(	PUNCT
ajbmeb-989	159	24	cowan	cowan	PROPN
ajbmeb-989	159	25	,	,	PUNCT
ajbmeb-989	159	26	1994	1994	NUM
ajbmeb-989	159	27	)	)	PUNCT
ajbmeb-989	159	28	,	,	PUNCT
ajbmeb-989	159	29	and	and	CCONJ
ajbmeb-989	159	30	it	it	PRON
ajbmeb-989	159	31	is	be	AUX
ajbmeb-989	159	32	possible	possible	ADJ
ajbmeb-989	159	33	using	use	VERB
ajbmeb-989	159	34	equation	equation	NOUN
ajbmeb-989	159	35	(	(	PUNCT
ajbmeb-989	159	36	31	31	NUM
ajbmeb-989	159	37	)	)	PUNCT
ajbmeb-989	159	38	.	.	PUNCT
ajbmeb-989	160	1	where	where	SCONJ
ajbmeb-989	160	2	the	the	DET
ajbmeb-989	160	3	(	(	PUNCT
ajbmeb-989	160	4	observed	observe	VERB
ajbmeb-989	160	5	)	)	PUNCT
ajbmeb-989	160	6	means	mean	VERB
ajbmeb-989	160	7	the	the	DET
ajbmeb-989	160	8	observed	observed	ADJ
ajbmeb-989	160	9	values	value	NOUN
ajbmeb-989	160	10	and	and	CCONJ
ajbmeb-989	160	11	(	(	PUNCT
ajbmeb-989	160	12	expected	expect	VERB
ajbmeb-989	160	13	)	)	PUNCT
ajbmeb-989	160	14	means	mean	VERB
ajbmeb-989	160	15	the	the	DET
ajbmeb-989	160	16	expected	expect	VERB
ajbmeb-989	160	17	values	value	NOUN
ajbmeb-989	160	18	2	2	NUM
ajbmeb-989	160	19	-	-	SYM
ajbmeb-989	160	20	5	5	NUM
ajbmeb-989	160	21	the	the	DET
ajbmeb-989	160	22	coefficient	coefficient	NOUN
ajbmeb-989	160	23	of	of	ADP
ajbmeb-989	160	24	determination	determination	NOUN
ajbmeb-989	160	25	r2	r2	PROPN
ajbmeb-989	160	26	r2	r2	PROPN
ajbmeb-989	160	27	does	do	AUX
ajbmeb-989	160	28	not	not	PART
ajbmeb-989	160	29	explain	explain	VERB
ajbmeb-989	160	30	the	the	DET
ajbmeb-989	160	31	quality	quality	NOUN
ajbmeb-989	160	32	of	of	ADP
ajbmeb-989	160	33	fit	fit	NOUN
ajbmeb-989	160	34	of	of	ADP
ajbmeb-989	160	35	the	the	DET
ajbmeb-989	160	36	model	model	NOUN
ajbmeb-989	160	37	as	as	ADP
ajbmeb-989	160	38	in	in	ADP
ajbmeb-989	160	39	linear	linear	PROPN
ajbmeb-989	160	40	regression	regression	NOUN
ajbmeb-989	160	41	,	,	PUNCT
ajbmeb-989	160	42	but	but	CCONJ
ajbmeb-989	160	43	it	it	PRON
ajbmeb-989	160	44	is	be	AUX
ajbmeb-989	160	45	an	an	DET
ajbmeb-989	160	46	indicator	indicator	NOUN
ajbmeb-989	160	47	of	of	ADP
ajbmeb-989	160	48	the	the	DET
ajbmeb-989	160	49	importance	importance	NOUN
ajbmeb-989	160	50	of	of	ADP
ajbmeb-989	160	51	explanatory	explanatory	ADJ
ajbmeb-989	160	52	variables	variable	NOUN
ajbmeb-989	160	53	to	to	PART
ajbmeb-989	160	54	predict	predict	VERB
ajbmeb-989	160	55	the	the	DET
ajbmeb-989	160	56	response	response	NOUN
ajbmeb-989	160	57	variable	variable	NOUN
ajbmeb-989	160	58	and	and	CCONJ
ajbmeb-989	160	59	then	then	ADV
ajbmeb-989	160	60	measure	measure	VERB
ajbmeb-989	160	61	the	the	DET
ajbmeb-989	160	62	effect	effect	NOUN
ajbmeb-989	160	63	size	size	NOUN
ajbmeb-989	160	64	(	(	PUNCT
ajbmeb-989	160	65	agresti	agresti	NOUN
ajbmeb-989	160	66	,	,	PUNCT
ajbmeb-989	160	67	2002	2002	NUM
ajbmeb-989	160	68	)	)	PUNCT
ajbmeb-989	160	69	.	.	PUNCT
ajbmeb-989	161	1	we	we	PRON
ajbmeb-989	161	2	can	can	AUX
ajbmeb-989	161	3	mention	mention	VERB
ajbmeb-989	161	4	the	the	DET
ajbmeb-989	161	5	cox	cox	PROPN
ajbmeb-989	161	6	&	&	CCONJ
ajbmeb-989	161	7	snell	snell	PROPN
ajbmeb-989	161	8	r2	r2	PROPN
ajbmeb-989	161	9	formula	formula	NOUN
ajbmeb-989	161	10	as	as	SCONJ
ajbmeb-989	161	11	follows	follow	VERB
ajbmeb-989	161	12	:	:	PUNCT
ajbmeb-989	161	13	(	(	PUNCT
ajbmeb-989	161	14	33	33	NUM
ajbmeb-989	161	15	)	)	PUNCT
ajbmeb-989	161	16	.....	.....	PUNCT
ajbmeb-989	162	1	n	n	CCONJ
ajbmeb-989	162	2	bl	bl	INTJ
ajbmeb-989	162	3	bl	bl	PROPN
ajbmeb-989	162	4	scr	scr	PROPN
ajbmeb-989	162	5	/2	/2	PUNCT
ajbmeb-989	162	6	)	)	PUNCT
ajbmeb-989	162	7	(	(	PUNCT
ajbmeb-989	162	8	ˆ	ˆ	X
ajbmeb-989	162	9	)	)	PUNCT
ajbmeb-989	162	10	0	0	NUM
ajbmeb-989	163	1	(	(	PUNCT
ajbmeb-989	163	2	ˆ	ˆ	PRON
ajbmeb-989	163	3	12	12	NUM
ajbmeb-989	163	4			NOUN
ajbmeb-989	163	5			PROPN
ajbmeb-989	164	1			PROPN
ajbmeb-989	164	2			PROPN
ajbmeb-989	164	3			PROPN
ajbmeb-989	164	4			X
ajbmeb-989	164	5			NOUN
ajbmeb-989	164	6			NOUN
ajbmeb-989	164	7			NOUN
ajbmeb-989	164	8			NOUN
ajbmeb-989	164	9			NOUN
ajbmeb-989	164	10			PROPN
ajbmeb-989	164	11			INTJ
ajbmeb-989	164	12			PROPN
ajbmeb-989	164	13			NOUN
ajbmeb-989	165	1			PROPN
ajbmeb-989	165	2			PROPN
ajbmeb-989	165	3			PROPN
ajbmeb-989	166	1			PROPN
ajbmeb-989	166	2			NOUN
ajbmeb-989	166	3	−=	−=	ADP
ajbmeb-989	166	4	the	the	DET
ajbmeb-989	166	5	nagelkerke	nagelkerke	NOUN
ajbmeb-989	166	6	r2	r2	PROPN
ajbmeb-989	166	7	formula	formula	NOUN
ajbmeb-989	166	8	can	can	AUX
ajbmeb-989	166	9	be	be	AUX
ajbmeb-989	166	10	explained	explain	VERB
ajbmeb-989	166	11	by	by	ADP
ajbmeb-989	166	12	the	the	DET
ajbmeb-989	166	13	following	follow	VERB
ajbmeb-989	166	14	formula	formula	NOUN
ajbmeb-989	166	15	:	:	PUNCT
ajbmeb-989	166	16	(	(	PUNCT
ajbmeb-989	166	17	34	34	NUM
ajbmeb-989	166	18	)	)	PUNCT
ajbmeb-989	166	19	.....	.....	PUNCT
ajbmeb-989	167	1			PROPN
ajbmeb-989	168	1			NOUN
ajbmeb-989	168	2			NOUN
ajbmeb-989	168	3			PROPN
ajbmeb-989	168	4			PROPN
ajbmeb-989	168	5			X
ajbmeb-989	168	6			NOUN
ajbmeb-989	168	7			NOUN
ajbmeb-989	168	8			NOUN
ajbmeb-989	168	9			NOUN
ajbmeb-989	168	10			VERB
ajbmeb-989	168	11			PROPN
ajbmeb-989	168	12	−	−	PROPN
ajbmeb-989	168	13	=	=	SYM
ajbmeb-989	168	14	nbl	nbl	PROPN
ajbmeb-989	168	15	csr	csr	X
ajbmeb-989	168	16	nr	nr	PROPN
ajbmeb-989	168	17	/2	/2	PUNCT
ajbmeb-989	168	18	)	)	PUNCT
ajbmeb-989	168	19	}	}	PUNCT
ajbmeb-989	168	20	)	)	PUNCT
ajbmeb-989	168	21	0	0	X
ajbmeb-989	168	22	(	(	PUNCT
ajbmeb-989	168	23	(	(	PUNCT
ajbmeb-989	168	24	ˆ{1	ˆ{1	PROPN
ajbmeb-989	168	25	2	2	NUM
ajbmeb-989	168	26	2	2	NUM
ajbmeb-989	168	27	the	the	DET
ajbmeb-989	168	28	l(β(0	l(β(0	NOUN
ajbmeb-989	168	29	)	)	PUNCT
ajbmeb-989	168	30	)	)	PUNCT
ajbmeb-989	168	31	represents	represent	VERB
ajbmeb-989	168	32	the	the	DET
ajbmeb-989	168	33	possibility	possibility	NOUN
ajbmeb-989	168	34	function	function	NOUN
ajbmeb-989	168	35	of	of	ADP
ajbmeb-989	168	36	the	the	DET
ajbmeb-989	168	37	model	model	NOUN
ajbmeb-989	168	38	under	under	ADP
ajbmeb-989	168	39	the	the	DET
ajbmeb-989	168	40	null	null	ADJ
ajbmeb-989	168	41	hypothesis	hypothesis	NOUN
ajbmeb-989	168	42	,	,	PUNCT
ajbmeb-989	168	43	and	and	CCONJ
ajbmeb-989	168	44	l(β	l(β	PROPN
ajbmeb-989	168	45	)	)	PUNCT
ajbmeb-989	168	46	represents	represent	VERB
ajbmeb-989	168	47	the	the	DET
ajbmeb-989	168	48	possibility	possibility	NOUN
ajbmeb-989	168	49	function	function	NOUN
ajbmeb-989	168	50	of	of	ADP
ajbmeb-989	168	51	the	the	DET
ajbmeb-989	168	52	model	model	NOUN
ajbmeb-989	168	53	under	under	ADP
ajbmeb-989	168	54	the	the	DET
ajbmeb-989	168	55	alternative	alternative	ADJ
ajbmeb-989	168	56	hypothesis	hypothesis	NOUN
ajbmeb-989	168	57	.	.	PUNCT
ajbmeb-989	169	1	the	the	DET
ajbmeb-989	169	2	large	large	ADJ
ajbmeb-989	169	3	sample	sample	NOUN
ajbmeb-989	169	4	size	size	NOUN
ajbmeb-989	169	5	gives	give	VERB
ajbmeb-989	169	6	power	power	NOUN
ajbmeb-989	169	7	to	to	ADP
ajbmeb-989	169	8	the	the	DET
ajbmeb-989	169	9	test	test	NOUN
ajbmeb-989	169	10	analysis	analysis	NOUN
ajbmeb-989	169	11	of	of	ADP
ajbmeb-989	169	12	the	the	DET
ajbmeb-989	169	13	logistic	logistic	ADJ
ajbmeb-989	169	14	model	model	NOUN
ajbmeb-989	169	15	,	,	PUNCT
ajbmeb-989	169	16	as	as	SCONJ
ajbmeb-989	169	17	the	the	DET
ajbmeb-989	169	18	larger	large	ADJ
ajbmeb-989	169	19	the	the	DET
ajbmeb-989	169	20	sample	sample	NOUN
ajbmeb-989	169	21	size	size	NOUN
ajbmeb-989	169	22	,	,	PUNCT
ajbmeb-989	169	23	the	the	PRON
ajbmeb-989	169	24	greater	great	ADJ
ajbmeb-989	169	25	the	the	DET
ajbmeb-989	169	26	test	test	NOUN
ajbmeb-989	169	27	power	power	NOUN
ajbmeb-989	169	28	of	of	ADP
ajbmeb-989	169	29	the	the	DET
ajbmeb-989	169	30	model	model	NOUN
ajbmeb-989	169	31	results	result	VERB
ajbmeb-989	169	32	this	this	DET
ajbmeb-989	169	33	section	section	NOUN
ajbmeb-989	169	34	includes	include	VERB
ajbmeb-989	169	35	an	an	DET
ajbmeb-989	169	36	applied	apply	VERB
ajbmeb-989	169	37	study	study	NOUN
ajbmeb-989	169	38	of	of	ADP
ajbmeb-989	169	39	the	the	DET
ajbmeb-989	169	40	multiple	multiple	ADJ
ajbmeb-989	169	41	lrm	lrm	NOUN
ajbmeb-989	169	42	using	use	VERB
ajbmeb-989	169	43	the	the	DET
ajbmeb-989	169	44	maximum	maximum	ADJ
ajbmeb-989	169	45	likelihood	likelihood	NOUN
ajbmeb-989	169	46	method	method	NOUN
ajbmeb-989	169	47	,	,	PUNCT
ajbmeb-989	169	48	as	as	ADV
ajbmeb-989	169	49	well	well	ADV
ajbmeb-989	169	50	as	as	ADP
ajbmeb-989	169	51	an	an	DET
ajbmeb-989	169	52	analysis	analysis	NOUN
ajbmeb-989	169	53	of	of	ADP
ajbmeb-989	169	54	ann	ann	PROPN
ajbmeb-989	169	55	for	for	ADP
ajbmeb-989	169	56	data	datum	NOUN
ajbmeb-989	169	57	on	on	ADP
ajbmeb-989	169	58	cml	cml	PROPN
ajbmeb-989	169	59	obtained	obtain	VERB
ajbmeb-989	169	60	from	from	ADP
ajbmeb-989	169	61	a	a	DET
ajbmeb-989	169	62	master	master	NOUN
ajbmeb-989	169	63	's	's	PART
ajbmeb-989	169	64	thesis	thesis	NOUN
ajbmeb-989	169	65	by	by	ADP
ajbmeb-989	169	66	the	the	DET
ajbmeb-989	169	67	researcher	researcher	NOUN
ajbmeb-989	169	68	(	(	PUNCT
ajbmeb-989	169	69	mirdas	mirda	NOUN
ajbmeb-989	169	70	,	,	PUNCT
ajbmeb-989	169	71	2023	2023	NUM
ajbmeb-989	169	72	)	)	PUNCT
ajbmeb-989	169	73	.	.	PUNCT
ajbmeb-989	170	1	the	the	DET
ajbmeb-989	170	2	data	datum	NOUN
ajbmeb-989	170	3	represent	represent	VERB
ajbmeb-989	170	4	150	150	NUM
ajbmeb-989	170	5	observations	observation	NOUN
ajbmeb-989	170	6	and	and	CCONJ
ajbmeb-989	170	7	four	four	NUM
ajbmeb-989	170	8	variables	variable	NOUN
ajbmeb-989	170	9	,	,	PUNCT
ajbmeb-989	170	10	which	which	PRON
ajbmeb-989	170	11	are	be	AUX
ajbmeb-989	170	12	as	as	SCONJ
ajbmeb-989	170	13	follows	follow	VERB
ajbmeb-989	170	14	:	:	PUNCT
ajbmeb-989	170	15	•	•	NUM
ajbmeb-989	170	16	type	type	NOUN
ajbmeb-989	170	17	of	of	ADP
ajbmeb-989	170	18	cml	cml	PROPN
ajbmeb-989	170	19	infection	infection	NOUN
ajbmeb-989	170	20	:	:	PUNCT
ajbmeb-989	170	21	as	as	SCONJ
ajbmeb-989	170	22	a	a	DET
ajbmeb-989	170	23	response	response	NOUN
ajbmeb-989	170	24	variable	variable	NOUN
ajbmeb-989	170	25	with	with	ADP
ajbmeb-989	170	26	three	three	NUM
ajbmeb-989	170	27	categories	category	NOUN
ajbmeb-989	170	28	(	(	PUNCT
ajbmeb-989	170	29	chronic	chronic	ADJ
ajbmeb-989	170	30	phase	phase	NOUN
ajbmeb-989	170	31	cp	cp	NOUN
ajbmeb-989	170	32	,	,	PUNCT
ajbmeb-989	170	33	accelerated	accelerate	VERB
ajbmeb-989	170	34	phase	phase	NOUN
ajbmeb-989	170	35	ap	ap	PROPN
ajbmeb-989	170	36	,	,	PUNCT
ajbmeb-989	170	37	and	and	CCONJ
ajbmeb-989	170	38	blast	blast	NOUN
ajbmeb-989	170	39	phase	phase	NOUN
ajbmeb-989	170	40	bp	bp	PROPN
ajbmeb-989	170	41	)	)	PUNCT
ajbmeb-989	170	42	,	,	PUNCT
ajbmeb-989	170	43	represented	represent	VERB
ajbmeb-989	170	44	by	by	ADP
ajbmeb-989	170	45	the	the	DET
ajbmeb-989	170	46	code	code	NOUN
ajbmeb-989	170	47	(	(	PUNCT
ajbmeb-989	170	48	1	1	NUM
ajbmeb-989	170	49	)	)	PUNCT
ajbmeb-989	170	50	for	for	ADP
ajbmeb-989	170	51	cp	cp	NUM
ajbmeb-989	170	52	patients	patient	NOUN
ajbmeb-989	170	53	,	,	PUNCT
ajbmeb-989	170	54	(	(	PUNCT
ajbmeb-989	170	55	2	2	X
ajbmeb-989	170	56	)	)	PUNCT
ajbmeb-989	170	57	for	for	ADP
ajbmeb-989	170	58	ap	ap	PROPN
ajbmeb-989	170	59	patients	patient	NOUN
ajbmeb-989	170	60	,	,	PUNCT
ajbmeb-989	170	61	and	and	CCONJ
ajbmeb-989	170	62	(	(	PUNCT
ajbmeb-989	170	63	3	3	X
ajbmeb-989	170	64	)	)	PUNCT
ajbmeb-989	170	65	for	for	ADP
ajbmeb-989	170	66	bp	bp	PROPN
ajbmeb-989	170	67	patients	patient	NOUN
ajbmeb-989	170	68	.	.	PUNCT
ajbmeb-989	171	1	•	•	NUM
ajbmeb-989	171	2	patient	patient	ADJ
ajbmeb-989	171	3	weight	weight	NOUN
ajbmeb-989	171	4	:	:	PUNCT
ajbmeb-989	171	5	the	the	DET
ajbmeb-989	171	6	first	first	ADJ
ajbmeb-989	171	7	explanatory	explanatory	ADJ
ajbmeb-989	171	8	variable	variable	NOUN
ajbmeb-989	171	9	.	.	PUNCT
ajbmeb-989	172	1	•	•	NOUN
ajbmeb-989	172	2	blood	blood	NOUN
ajbmeb-989	172	3	platelets	platelet	NOUN
ajbmeb-989	172	4	(	(	PUNCT
ajbmeb-989	172	5	plt	plt	NOUN
ajbmeb-989	172	6	):	):	PUNCT
ajbmeb-989	172	7	the	the	DET
ajbmeb-989	172	8	second	second	ADJ
ajbmeb-989	172	9	explanatory	explanatory	ADJ
ajbmeb-989	172	10	variable	variable	NOUN
ajbmeb-989	172	11	.	.	PUNCT
ajbmeb-989	173	1	•	•	NUM
ajbmeb-989	173	2	number	number	NOUN
ajbmeb-989	173	3	of	of	ADP
ajbmeb-989	173	4	cancer	cancer	NOUN
ajbmeb-989	173	5	cells	cell	NOUN
ajbmeb-989	173	6	in	in	ADP
ajbmeb-989	173	7	bone	bone	NOUN
ajbmeb-989	173	8	marrow	marrow	NOUN
ajbmeb-989	173	9	(	(	PUNCT
ajbmeb-989	173	10	bme	bme	NOUN
ajbmeb-989	173	11	):	):	PUNCT
ajbmeb-989	173	12	the	the	DET
ajbmeb-989	173	13	third	third	ADJ
ajbmeb-989	173	14	explanatory	explanatory	ADJ
ajbmeb-989	173	15	variable	variable	NOUN
ajbmeb-989	173	16	.	.	PUNCT
ajbmeb-989	174	1	statistical	statistical	ADJ
ajbmeb-989	174	2	data	datum	NOUN
ajbmeb-989	174	3	analysis	analysis	NOUN
ajbmeb-989	174	4	using	use	VERB
ajbmeb-989	174	5	multiple	multiple	ADJ
ajbmeb-989	174	6	logistic	logistic	ADJ
ajbmeb-989	174	7	regression	regression	NOUN
ajbmeb-989	174	8	model	model	NOUN
ajbmeb-989	174	9	fitness	fitness	PROPN
ajbmeb-989	174	10	quality	quality	PROPN
ajbmeb-989	174	11	american	american	PROPN
ajbmeb-989	174	12	journal	journal	PROPN
ajbmeb-989	174	13	of	of	ADP
ajbmeb-989	174	14	business	business	NOUN
ajbmeb-989	174	15	management	management	NOUN
ajbmeb-989	174	16	,	,	PUNCT
ajbmeb-989	174	17	economics	economic	NOUN
ajbmeb-989	174	18	and	and	CCONJ
ajbmeb-989	174	19	banking	banking	NOUN
ajbmeb-989	174	20	volume	volume	NOUN
ajbmeb-989	174	21	13	13	NUM
ajbmeb-989	174	22	june	june	PROPN
ajbmeb-989	174	23	,	,	PUNCT
ajbmeb-989	174	24	2023	2023	NUM
ajbmeb-989	174	25	p	p	NOUN
ajbmeb-989	174	26	a	a	DET
ajbmeb-989	174	27	g	g	NOUN
ajbmeb-989	174	28	e	e	NOUN
ajbmeb-989	174	29	|	|	ADV
ajbmeb-989	174	30	84	84	NUM
ajbmeb-989	174	31	www.americanjournal.org	www.americanjournal.org	NOUN
ajbmeb-989	174	32	to	to	PART
ajbmeb-989	174	33	measure	measure	VERB
ajbmeb-989	174	34	the	the	DET
ajbmeb-989	174	35	goodness	goodness	NOUN
ajbmeb-989	174	36	of	of	ADP
ajbmeb-989	174	37	fit	fit	NOUN
ajbmeb-989	174	38	of	of	ADP
ajbmeb-989	174	39	the	the	DET
ajbmeb-989	174	40	model	model	NOUN
ajbmeb-989	174	41	,	,	PUNCT
ajbmeb-989	174	42	in	in	ADP
ajbmeb-989	174	43	the	the	DET
ajbmeb-989	174	44	case	case	NOUN
ajbmeb-989	174	45	of	of	ADP
ajbmeb-989	174	46	the	the	DET
ajbmeb-989	174	47	multiple	multiple	ADJ
ajbmeb-989	174	48	lrm	lrm	PROPN
ajbmeb-989	174	49	,	,	PUNCT
ajbmeb-989	174	50	the	the	DET
ajbmeb-989	174	51	likelihood	likelihood	NOUN
ajbmeb-989	174	52	ratio	ratio	NOUN
ajbmeb-989	174	53	test	test	NOUN
ajbmeb-989	174	54	is	be	AUX
ajbmeb-989	174	55	used	use	VERB
ajbmeb-989	174	56	,	,	PUNCT
ajbmeb-989	174	57	which	which	PRON
ajbmeb-989	174	58	follows	follow	VERB
ajbmeb-989	174	59	a	a	DET
ajbmeb-989	174	60	chi	chi	ADJ
ajbmeb-989	174	61	-	-	PUNCT
ajbmeb-989	174	62	square	square	ADJ
ajbmeb-989	174	63	distribution	distribution	NOUN
ajbmeb-989	174	64	.	.	PUNCT
ajbmeb-989	175	1	the	the	DET
ajbmeb-989	175	2	outputs	output	NOUN
ajbmeb-989	175	3	of	of	ADP
ajbmeb-989	175	4	the	the	DET
ajbmeb-989	175	5	spss	spss	PROPN
ajbmeb-989	175	6	program	program	NOUN
ajbmeb-989	175	7	are	be	AUX
ajbmeb-989	175	8	as	as	SCONJ
ajbmeb-989	175	9	follows	follow	VERB
ajbmeb-989	175	10	:	:	PUNCT
ajbmeb-989	175	11	table	table	NOUN
ajbmeb-989	175	12	1	1	NUM
ajbmeb-989	175	13	goodness	goodness	NOUN
ajbmeb-989	175	14	of	of	ADP
ajbmeb-989	175	15	fit	fit	NOUN
ajbmeb-989	175	16	of	of	ADP
ajbmeb-989	175	17	the	the	DET
ajbmeb-989	175	18	multiple	multiple	ADJ
ajbmeb-989	175	19	lrm	lrm	PROPN
ajbmeb-989	175	20	sig	sig	PROPN
ajbmeb-989	175	21	.	.	PUNCT
ajbmeb-989	176	1	df	df	PROPN
ajbmeb-989	176	2	chi	chi	ADJ
ajbmeb-989	176	3	-	-	PUNCT
ajbmeb-989	176	4	square	square	ADJ
ajbmeb-989	176	5	-2	-2	INTJ
ajbmeb-989	176	6	log	log	NOUN
ajbmeb-989	176	7	likelihood	likelihood	NOUN
ajbmeb-989	176	8	model	model	NOUN
ajbmeb-989	176	9	0.000	0.000	NUM
ajbmeb-989	176	10	6	6	NUM
ajbmeb-989	176	11	42.240	42.240	NUM
ajbmeb-989	176	12	323.294	323.294	NUM
ajbmeb-989	176	13	fixed	fix	VERB
ajbmeb-989	176	14	281.054	281.054	NUM
ajbmeb-989	176	15	final	final	ADJ
ajbmeb-989	176	16	model	model	NOUN
ajbmeb-989	176	17	according	accord	VERB
ajbmeb-989	176	18	to	to	ADP
ajbmeb-989	176	19	the	the	DET
ajbmeb-989	176	20	values	value	NOUN
ajbmeb-989	176	21	of	of	ADP
ajbmeb-989	176	22	sig	sig	NOUN
ajbmeb-989	176	23	in	in	ADP
ajbmeb-989	176	24	table	table	NOUN
ajbmeb-989	176	25	1	1	NUM
ajbmeb-989	176	26	,	,	PUNCT
ajbmeb-989	176	27	the	the	DET
ajbmeb-989	176	28	relationship	relationship	NOUN
ajbmeb-989	176	29	between	between	ADP
ajbmeb-989	176	30	the	the	DET
ajbmeb-989	176	31	explanatory	explanatory	ADJ
ajbmeb-989	176	32	variables	variable	NOUN
ajbmeb-989	176	33	and	and	CCONJ
ajbmeb-989	176	34	the	the	DET
ajbmeb-989	176	35	response	response	NOUN
ajbmeb-989	176	36	variable	variable	NOUN
ajbmeb-989	176	37	is	be	AUX
ajbmeb-989	176	38	significant	significant	ADJ
ajbmeb-989	176	39	.	.	PUNCT
ajbmeb-989	177	1	this	this	PRON
ajbmeb-989	177	2	means	mean	VERB
ajbmeb-989	177	3	that	that	SCONJ
ajbmeb-989	177	4	there	there	PRON
ajbmeb-989	177	5	is	be	VERB
ajbmeb-989	177	6	a	a	DET
ajbmeb-989	177	7	difference	difference	NOUN
ajbmeb-989	177	8	in	in	ADP
ajbmeb-989	177	9	the	the	DET
ajbmeb-989	177	10	model	model	NOUN
ajbmeb-989	177	11	when	when	SCONJ
ajbmeb-989	177	12	the	the	DET
ajbmeb-989	177	13	explanatory	explanatory	ADJ
ajbmeb-989	177	14	variables	variable	NOUN
ajbmeb-989	177	15	are	be	AUX
ajbmeb-989	177	16	present	present	ADJ
ajbmeb-989	177	17	compared	compare	VERB
ajbmeb-989	177	18	to	to	ADP
ajbmeb-989	177	19	when	when	SCONJ
ajbmeb-989	177	20	they	they	PRON
ajbmeb-989	177	21	are	be	AUX
ajbmeb-989	177	22	absent	absent	ADJ
ajbmeb-989	177	23	.	.	PUNCT
ajbmeb-989	178	1	other	other	ADJ
ajbmeb-989	178	2	tests	test	NOUN
ajbmeb-989	178	3	also	also	ADV
ajbmeb-989	178	4	support	support	VERB
ajbmeb-989	178	5	this	this	DET
ajbmeb-989	178	6	conclusion	conclusion	NOUN
ajbmeb-989	178	7	,	,	PUNCT
ajbmeb-989	178	8	as	as	SCONJ
ajbmeb-989	178	9	shown	show	VERB
ajbmeb-989	178	10	in	in	ADP
ajbmeb-989	178	11	table	table	NOUN
ajbmeb-989	178	12	2	2	NUM
ajbmeb-989	178	13	:	:	PUNCT
ajbmeb-989	178	14	table	table	NOUN
ajbmeb-989	178	15	2	2	NUM
ajbmeb-989	178	16	goodness	goodness	NOUN
ajbmeb-989	178	17	of	of	ADP
ajbmeb-989	178	18	fit	fit	NOUN
ajbmeb-989	178	19	of	of	ADP
ajbmeb-989	178	20	the	the	DET
ajbmeb-989	178	21	multiple	multiple	ADJ
ajbmeb-989	178	22	lrm	lrm	PROPN
ajbmeb-989	178	23	using	use	VERB
ajbmeb-989	178	24	non	non	ADJ
ajbmeb-989	178	25	-	-	ADJ
ajbmeb-989	178	26	parametric	parametric	ADJ
ajbmeb-989	178	27	tests	test	NOUN
ajbmeb-989	178	28	sig	sig	X
ajbmeb-989	178	29	.	.	PUNCT
ajbmeb-989	179	1	df	df	PROPN
ajbmeb-989	179	2	chi	chi	ADJ
ajbmeb-989	179	3	-	-	PUNCT
ajbmeb-989	179	4	square	square	ADJ
ajbmeb-989	179	5	model	model	NOUN
ajbmeb-989	179	6	0.573	0.573	NUM
ajbmeb-989	179	7	290	290	NUM
ajbmeb-989	179	8	284.938	284.938	NUM
ajbmeb-989	179	9	pearson	pearson	NOUN
ajbmeb-989	179	10	0.658	0.658	NUM
ajbmeb-989	179	11	290	290	NUM
ajbmeb-989	179	12	279.667	279.667	NUM
ajbmeb-989	179	13	deviance	deviance	NOUN
ajbmeb-989	179	14	it	it	PRON
ajbmeb-989	179	15	can	can	AUX
ajbmeb-989	179	16	be	be	AUX
ajbmeb-989	179	17	observed	observe	VERB
ajbmeb-989	179	18	from	from	ADP
ajbmeb-989	179	19	table	table	NOUN
ajbmeb-989	179	20	2	2	NUM
ajbmeb-989	179	21	that	that	PRON
ajbmeb-989	179	22	the	the	DET
ajbmeb-989	179	23	sig	sig	NOUN
ajbmeb-989	179	24	values	value	NOUN
ajbmeb-989	179	25	for	for	ADP
ajbmeb-989	179	26	both	both	DET
ajbmeb-989	179	27	tests	test	NOUN
ajbmeb-989	179	28	are	be	AUX
ajbmeb-989	179	29	greater	great	ADJ
ajbmeb-989	179	30	than	than	ADP
ajbmeb-989	179	31	the	the	DET
ajbmeb-989	179	32	significance	significance	NOUN
ajbmeb-989	179	33	level	level	NOUN
ajbmeb-989	179	34	(	(	PUNCT
ajbmeb-989	179	35	0.05	0.05	NUM
ajbmeb-989	179	36	)	)	PUNCT
ajbmeb-989	179	37	,	,	PUNCT
ajbmeb-989	179	38	indicating	indicate	VERB
ajbmeb-989	179	39	the	the	DET
ajbmeb-989	179	40	importance	importance	NOUN
ajbmeb-989	179	41	of	of	ADP
ajbmeb-989	179	42	the	the	DET
ajbmeb-989	179	43	explanatory	explanatory	ADJ
ajbmeb-989	179	44	variables	variable	NOUN
ajbmeb-989	179	45	in	in	ADP
ajbmeb-989	179	46	the	the	DET
ajbmeb-989	179	47	model	model	NOUN
ajbmeb-989	179	48	.	.	PUNCT
ajbmeb-989	180	1	parameters	parameter	NOUN
ajbmeb-989	180	2	estimation	estimation	NOUN
ajbmeb-989	180	3	of	of	ADP
ajbmeb-989	180	4	the	the	DET
ajbmeb-989	180	5	multiple	multiple	ADJ
ajbmeb-989	180	6	lrm	lrm	PROPN
ajbmeb-989	180	7	the	the	DET
ajbmeb-989	180	8	parameters	parameter	NOUN
ajbmeb-989	180	9	of	of	ADP
ajbmeb-989	180	10	the	the	DET
ajbmeb-989	180	11	multiple	multiple	ADJ
ajbmeb-989	180	12	lrm	lrm	PROPN
ajbmeb-989	180	13	were	be	AUX
ajbmeb-989	180	14	estimated	estimate	VERB
ajbmeb-989	180	15	using	use	VERB
ajbmeb-989	180	16	the	the	DET
ajbmeb-989	180	17	maximum	maximum	ADJ
ajbmeb-989	180	18	likelihood	likelihood	NOUN
ajbmeb-989	180	19	method	method	NOUN
ajbmeb-989	180	20	.	.	PUNCT
ajbmeb-989	181	1	table	table	NOUN
ajbmeb-989	181	2	3	3	NUM
ajbmeb-989	181	3	summarizes	summarize	NOUN
ajbmeb-989	181	4	the	the	DET
ajbmeb-989	181	5	estimates	estimate	NOUN
ajbmeb-989	181	6	of	of	ADP
ajbmeb-989	181	7	these	these	DET
ajbmeb-989	181	8	parameters	parameter	NOUN
ajbmeb-989	181	9	,	,	PUNCT
ajbmeb-989	181	10	along	along	ADP
ajbmeb-989	181	11	with	with	ADP
ajbmeb-989	181	12	their	their	PRON
ajbmeb-989	181	13	standard	standard	ADJ
ajbmeb-989	181	14	errors	error	NOUN
ajbmeb-989	181	15	,	,	PUNCT
ajbmeb-989	181	16	wald	wald	PROPN
ajbmeb-989	181	17	statistics	statistic	NOUN
ajbmeb-989	181	18	,	,	PUNCT
ajbmeb-989	181	19	and	and	CCONJ
ajbmeb-989	181	20	accompanying	accompany	VERB
ajbmeb-989	181	21	sig	sig	ADJ
ajbmeb-989	181	22	values	value	NOUN
ajbmeb-989	181	23	:	:	PUNCT
ajbmeb-989	181	24	table	table	NOUN
ajbmeb-989	181	25	3	3	NUM
ajbmeb-989	181	26	.	.	PUNCT
ajbmeb-989	181	27	estimates	estimate	NOUN
ajbmeb-989	181	28	of	of	ADP
ajbmeb-989	181	29	parameters	parameter	NOUN
ajbmeb-989	181	30	of	of	ADP
ajbmeb-989	181	31	the	the	DET
ajbmeb-989	181	32	multiple	multiple	ADJ
ajbmeb-989	181	33	lrm	lrm	PROPN
ajbmeb-989	181	34	sig	sig	PROPN
ajbmeb-989	181	35	.	.	PUNCT
ajbmeb-989	182	1	df	df	PROPN
ajbmeb-989	182	2	wald	wald	PROPN
ajbmeb-989	182	3	std	std	PROPN
ajbmeb-989	182	4	.	.	PUNCT
ajbmeb-989	182	5	error	error	PROPN
ajbmeb-989	182	6	b	b	PROPN
ajbmeb-989	182	7	cml	cml	X
ajbmeb-989	182	8	(	(	PUNCT
ajbmeb-989	182	9	1	1	NUM
ajbmeb-989	182	10	)	)	PUNCT
ajbmeb-989	182	11	0.950	0.950	NUM
ajbmeb-989	182	12	1	1	NUM
ajbmeb-989	182	13	0.004	0.004	NUM
ajbmeb-989	182	14	2.450	2.450	NUM
ajbmeb-989	182	15	0.155	0.155	NUM
ajbmeb-989	182	16	fix	fix	NOUN
ajbmeb-989	182	17	cml=1.00	cml=1.00	PROPN
ajbmeb-989	182	18	0.829	0.829	NUM
ajbmeb-989	182	19	1	1	NUM
ajbmeb-989	182	20	0.047	0.047	NUM
ajbmeb-989	182	21	0.034	0.034	NUM
ajbmeb-989	182	22	-0.007	-0.007	NOUN
ajbmeb-989	182	23	weight	weight	NOUN
ajbmeb-989	182	24	0.090	0.090	NUM
ajbmeb-989	182	25	1	1	NUM
ajbmeb-989	182	26	2.867	2.867	NUM
ajbmeb-989	182	27	0.004	0.004	NUM
ajbmeb-989	182	28	0.007	0.007	NUM
ajbmeb-989	182	29	plt	plt	NOUN
ajbmeb-989	182	30	0.000	0.000	NUM
ajbmeb-989	182	31	1	1	NUM
ajbmeb-989	182	32	14.954	14.954	NUM
ajbmeb-989	182	33	6.054	6.054	NUM
ajbmeb-989	182	34	-23.410	-23.410	CCONJ
ajbmeb-989	182	35	bme	bme	VERB
ajbmeb-989	182	36	0.028	0.028	NUM
ajbmeb-989	182	37	1	1	NUM
ajbmeb-989	182	38	4.843	4.843	NUM
ajbmeb-989	182	39	2.341	2.341	NUM
ajbmeb-989	182	40	5.151	5.151	NUM
ajbmeb-989	182	41	fix	fix	NOUN
ajbmeb-989	182	42	cml=2.00	cml=2.00	NUM
ajbmeb-989	182	43	0.040	0.040	NUM
ajbmeb-989	182	44	1	1	NUM
ajbmeb-989	182	45	4.222	4.222	NUM
ajbmeb-989	182	46	0.034	0.034	NUM
ajbmeb-989	182	47	-0.069	-0.069	NOUN
ajbmeb-989	182	48	weight	weight	NOUN
ajbmeb-989	182	49	0.754	0.754	NUM
ajbmeb-989	182	50	1	1	NUM
ajbmeb-989	182	51	0.098	0.098	NUM
ajbmeb-989	182	52	0.004	0.004	NUM
ajbmeb-989	182	53	-0.001	-0.001	NOUN
ajbmeb-989	182	54	plt	plt	NOUN
ajbmeb-989	182	55	0.061	0.061	NUM
ajbmeb-989	182	56	1	1	NUM
ajbmeb-989	182	57	3.506	3.506	NUM
ajbmeb-989	182	58	3.025	3.025	NUM
ajbmeb-989	182	59	-5.665	-5.665	NUM
ajbmeb-989	182	60	bme	bme	NOUN
ajbmeb-989	182	61	it	it	PRON
ajbmeb-989	182	62	can	can	AUX
ajbmeb-989	182	63	be	be	AUX
ajbmeb-989	182	64	observed	observe	VERB
ajbmeb-989	182	65	that	that	SCONJ
ajbmeb-989	182	66	the	the	DET
ajbmeb-989	182	67	effect	effect	NOUN
ajbmeb-989	182	68	of	of	ADP
ajbmeb-989	182	69	the	the	DET
ajbmeb-989	182	70	constant	constant	ADJ
ajbmeb-989	182	71	term	term	NOUN
ajbmeb-989	182	72	and	and	CCONJ
ajbmeb-989	182	73	the	the	DET
ajbmeb-989	182	74	explanatory	explanatory	ADJ
ajbmeb-989	182	75	variables	variable	NOUN
ajbmeb-989	182	76	on	on	ADP
ajbmeb-989	182	77	the	the	DET
ajbmeb-989	182	78	response	response	NOUN
ajbmeb-989	182	79	variable	variable	NOUN
ajbmeb-989	182	80	varies	vary	VERB
ajbmeb-989	182	81	from	from	ADP
ajbmeb-989	182	82	category	category	NOUN
ajbmeb-989	182	83	to	to	ADP
ajbmeb-989	182	84	category	category	NOUN
ajbmeb-989	182	85	.	.	PUNCT
ajbmeb-989	183	1	for	for	ADP
ajbmeb-989	183	2	example	example	NOUN
ajbmeb-989	183	3	,	,	PUNCT
ajbmeb-989	183	4	the	the	DET
ajbmeb-989	183	5	effect	effect	NOUN
ajbmeb-989	183	6	of	of	ADP
ajbmeb-989	183	7	the	the	DET
ajbmeb-989	183	8	constant	constant	ADJ
ajbmeb-989	183	9	term	term	NOUN
ajbmeb-989	183	10	on	on	ADP
ajbmeb-989	183	11	the	the	DET
ajbmeb-989	183	12	logit	logit	NOUN
ajbmeb-989	183	13	of	of	ADP
ajbmeb-989	183	14	the	the	DET
ajbmeb-989	183	15	chronic	chronic	ADJ
ajbmeb-989	183	16	phase	phase	NOUN
ajbmeb-989	183	17	is	be	AUX
ajbmeb-989	183	18	0.155	0.155	NUM
ajbmeb-989	183	19	,	,	PUNCT
ajbmeb-989	183	20	while	while	SCONJ
ajbmeb-989	183	21	it	it	PRON
ajbmeb-989	183	22	is	be	AUX
ajbmeb-989	183	23	5.151	5.151	NUM
ajbmeb-989	183	24	for	for	ADP
ajbmeb-989	183	25	the	the	DET
ajbmeb-989	183	26	ap	ap	PROPN
ajbmeb-989	183	27	.	.	PUNCT
ajbmeb-989	184	1	additionally	additionally	ADV
ajbmeb-989	184	2	,	,	PUNCT
ajbmeb-989	184	3	the	the	DET
ajbmeb-989	184	4	weight	weight	NOUN
ajbmeb-989	184	5	variable	variable	NOUN
ajbmeb-989	184	6	has	have	VERB
ajbmeb-989	184	7	a	a	DET
ajbmeb-989	184	8	negative	negative	ADJ
ajbmeb-989	184	9	1	1	NUM
ajbmeb-989	184	10	the	the	DET
ajbmeb-989	184	11	value	value	NOUN
ajbmeb-989	184	12	(	(	PUNCT
ajbmeb-989	184	13	3	3	X
ajbmeb-989	184	14	)	)	PUNCT
ajbmeb-989	184	15	was	be	AUX
ajbmeb-989	184	16	used	use	VERB
ajbmeb-989	184	17	as	as	ADP
ajbmeb-989	184	18	a	a	DET
ajbmeb-989	184	19	reference	reference	NOUN
ajbmeb-989	184	20	category	category	NOUN
ajbmeb-989	184	21	.	.	PUNCT
ajbmeb-989	185	1	american	american	ADJ
ajbmeb-989	185	2	journal	journal	PROPN
ajbmeb-989	185	3	of	of	ADP
ajbmeb-989	185	4	business	business	NOUN
ajbmeb-989	185	5	management	management	NOUN
ajbmeb-989	185	6	,	,	PUNCT
ajbmeb-989	185	7	economics	economic	NOUN
ajbmeb-989	185	8	and	and	CCONJ
ajbmeb-989	185	9	banking	banking	NOUN
ajbmeb-989	185	10	volume	volume	NOUN
ajbmeb-989	185	11	13	13	NUM
ajbmeb-989	185	12	june	june	PROPN
ajbmeb-989	185	13	,	,	PUNCT
ajbmeb-989	185	14	2023	2023	NUM
ajbmeb-989	185	15	p	p	NOUN
ajbmeb-989	185	16	a	a	DET
ajbmeb-989	185	17	g	g	NOUN
ajbmeb-989	185	18	e	e	NOUN
ajbmeb-989	185	19	|	|	ADV
ajbmeb-989	185	20	85	85	NUM
ajbmeb-989	185	21	www.americanjournal.org	www.americanjournal.org	NOUN
ajbmeb-989	185	22	effect	effect	NOUN
ajbmeb-989	185	23	on	on	ADP
ajbmeb-989	185	24	the	the	DET
ajbmeb-989	185	25	logit	logit	NOUN
ajbmeb-989	185	26	of	of	ADP
ajbmeb-989	185	27	the	the	DET
ajbmeb-989	185	28	chronic	chronic	ADJ
ajbmeb-989	185	29	phase	phase	NOUN
ajbmeb-989	185	30	with	with	ADP
ajbmeb-989	185	31	a	a	DET
ajbmeb-989	185	32	regression	regression	NOUN
ajbmeb-989	185	33	coefficient	coefficient	NOUN
ajbmeb-989	185	34	of	of	ADP
ajbmeb-989	185	35	-0.007	-0.007	PROPN
ajbmeb-989	185	36	,	,	PUNCT
ajbmeb-989	185	37	and	and	CCONJ
ajbmeb-989	185	38	-0.069	-0.069	PUNCT
ajbmeb-989	185	39	for	for	ADP
ajbmeb-989	185	40	the	the	DET
ajbmeb-989	185	41	accelerated	accelerate	VERB
ajbmeb-989	185	42	phase	phase	NOUN
ajbmeb-989	185	43	of	of	ADP
ajbmeb-989	185	44	the	the	DET
ajbmeb-989	185	45	illness	illness	NOUN
ajbmeb-989	185	46	.	.	PUNCT
ajbmeb-989	186	1	the	the	DET
ajbmeb-989	186	2	results	result	NOUN
ajbmeb-989	186	3	of	of	ADP
ajbmeb-989	186	4	the	the	DET
ajbmeb-989	186	5	classification	classification	NOUN
ajbmeb-989	186	6	are	be	AUX
ajbmeb-989	186	7	exhibited	exhibit	VERB
ajbmeb-989	186	8	in	in	ADP
ajbmeb-989	186	9	table	table	NOUN
ajbmeb-989	186	10	4	4	NUM
ajbmeb-989	186	11	as	as	SCONJ
ajbmeb-989	186	12	follows	follow	VERB
ajbmeb-989	186	13	:	:	PUNCT
ajbmeb-989	186	14	table	table	NOUN
ajbmeb-989	186	15	4	4	NUM
ajbmeb-989	186	16	.	.	PUNCT
ajbmeb-989	186	17	confusion	confusion	NOUN
ajbmeb-989	186	18	matrix	matrix	NOUN
ajbmeb-989	186	19	for	for	ADP
ajbmeb-989	186	20	the	the	DET
ajbmeb-989	186	21	multiple	multiple	ADJ
ajbmeb-989	186	22	lrm	lrm	NOUN
ajbmeb-989	186	23	correct	correct	ADJ
ajbmeb-989	186	24	rating	rating	NOUN
ajbmeb-989	186	25	ratio	ratio	NOUN
ajbmeb-989	186	26	predictor	predictor	NOUN
ajbmeb-989	186	27	classification	classification	NOUN
ajbmeb-989	186	28	total	total	NOUN
ajbmeb-989	186	29	blast	blast	NOUN
ajbmeb-989	186	30	phase	phase	NOUN
ajbmeb-989	186	31	accelerated	accelerate	VERB
ajbmeb-989	186	32	phase	phase	NOUN
ajbmeb-989	186	33	chronic	chronic	ADJ
ajbmeb-989	186	34	phase	phase	NOUN
ajbmeb-989	186	35	80.6	80.6	NUM
ajbmeb-989	186	36	%	%	NOUN
ajbmeb-989	186	37	62	62	NUM
ajbmeb-989	186	38	1	1	NUM
ajbmeb-989	186	39	11	11	NUM
ajbmeb-989	186	40	50	50	NUM
ajbmeb-989	186	41	chronic	chronic	ADJ
ajbmeb-989	186	42	phase	phase	NOUN
ajbmeb-989	186	43	observation	observation	NOUN
ajbmeb-989	186	44	39.6	39.6	NUM
ajbmeb-989	186	45	%	%	NOUN
ajbmeb-989	186	46	48	48	NUM
ajbmeb-989	186	47	7	7	NUM
ajbmeb-989	186	48	19	19	NUM
ajbmeb-989	186	49	22	22	NUM
ajbmeb-989	186	50	accelerated	accelerate	VERB
ajbmeb-989	186	51	phase	phase	NOUN
ajbmeb-989	186	52	32.5	32.5	NUM
ajbmeb-989	186	53	%	%	NOUN
ajbmeb-989	186	54	40	40	NUM
ajbmeb-989	186	55	13	13	NUM
ajbmeb-989	186	56	5	5	NUM
ajbmeb-989	186	57	22	22	NUM
ajbmeb-989	186	58	blast	blast	NOUN
ajbmeb-989	186	59	phase	phase	NOUN
ajbmeb-989	186	60	54.7	54.7	NUM
ajbmeb-989	186	61	%	%	NOUN
ajbmeb-989	186	62	150	150	NUM
ajbmeb-989	186	63	21	21	NUM
ajbmeb-989	186	64	35	35	NUM
ajbmeb-989	186	65	94	94	NUM
ajbmeb-989	186	66	total	total	ADJ
ajbmeb-989	186	67	table	table	NOUN
ajbmeb-989	186	68	4	4	NUM
ajbmeb-989	186	69	shows	show	VERB
ajbmeb-989	186	70	that	that	SCONJ
ajbmeb-989	186	71	the	the	DET
ajbmeb-989	186	72	correct	correct	ADJ
ajbmeb-989	186	73	classification	classification	NOUN
ajbmeb-989	186	74	rate	rate	NOUN
ajbmeb-989	186	75	(	(	PUNCT
ajbmeb-989	186	76	ccr	ccr	PROPN
ajbmeb-989	186	77	)	)	PUNCT
ajbmeb-989	186	78	for	for	ADP
ajbmeb-989	186	79	the	the	DET
ajbmeb-989	186	80	cp	cp	PROPN
ajbmeb-989	186	81	is	be	AUX
ajbmeb-989	186	82	80.6	80.6	NUM
ajbmeb-989	186	83	%	%	NOUN
ajbmeb-989	186	84	,	,	PUNCT
ajbmeb-989	186	85	but	but	CCONJ
ajbmeb-989	186	86	it	it	PRON
ajbmeb-989	186	87	is	be	AUX
ajbmeb-989	186	88	lower	low	ADJ
ajbmeb-989	186	89	for	for	ADP
ajbmeb-989	186	90	both	both	CCONJ
ajbmeb-989	186	91	the	the	DET
ajbmeb-989	186	92	pb	pb	NOUN
ajbmeb-989	186	93	and	and	CCONJ
ajbmeb-989	186	94	bp	bp	PROPN
ajbmeb-989	186	95	.	.	PUNCT
ajbmeb-989	187	1	the	the	DET
ajbmeb-989	187	2	overall	overall	ADJ
ajbmeb-989	187	3	ccr	ccr	PROPN
ajbmeb-989	187	4	is	be	AUX
ajbmeb-989	187	5	only	only	ADV
ajbmeb-989	187	6	54.7	54.7	NUM
ajbmeb-989	187	7	%	%	NOUN
ajbmeb-989	187	8	,	,	PUNCT
ajbmeb-989	187	9	which	which	PRON
ajbmeb-989	187	10	is	be	AUX
ajbmeb-989	187	11	relatively	relatively	ADV
ajbmeb-989	187	12	low	low	ADJ
ajbmeb-989	187	13	.	.	PUNCT
ajbmeb-989	188	1	statistical	statistical	ADJ
ajbmeb-989	188	2	data	datum	NOUN
ajbmeb-989	188	3	analysis	analysis	NOUN
ajbmeb-989	188	4	of	of	ADP
ajbmeb-989	188	5	using	use	VERB
ajbmeb-989	188	6	ann	ann	PROPN
ajbmeb-989	188	7	the	the	DET
ajbmeb-989	188	8	results	result	NOUN
ajbmeb-989	188	9	of	of	ADP
ajbmeb-989	188	10	the	the	DET
ajbmeb-989	188	11	ann	ann	PROPN
ajbmeb-989	188	12	were	be	AUX
ajbmeb-989	188	13	obtained	obtain	VERB
ajbmeb-989	188	14	from	from	ADP
ajbmeb-989	188	15	the	the	DET
ajbmeb-989	188	16	spss	spss	PROPN
ajbmeb-989	188	17	program	program	NOUN
ajbmeb-989	188	18	after	after	ADP
ajbmeb-989	188	19	applying	apply	VERB
ajbmeb-989	188	20	it	it	PRON
ajbmeb-989	188	21	to	to	ADP
ajbmeb-989	188	22	the	the	DET
ajbmeb-989	188	23	study	study	NOUN
ajbmeb-989	188	24	data	datum	NOUN
ajbmeb-989	188	25	.	.	PUNCT
ajbmeb-989	189	1	the	the	DET
ajbmeb-989	189	2	network	network	NOUN
ajbmeb-989	189	3	for	for	ADP
ajbmeb-989	189	4	the	the	DET
ajbmeb-989	189	5	study	study	NOUN
ajbmeb-989	189	6	model	model	NOUN
ajbmeb-989	189	7	is	be	AUX
ajbmeb-989	189	8	shown	show	VERB
ajbmeb-989	189	9	in	in	ADP
ajbmeb-989	189	10	figure	figure	NOUN
ajbmeb-989	189	11	1	1	NUM
ajbmeb-989	189	12	.	.	PUNCT
ajbmeb-989	189	13	figure	figure	NOUN
ajbmeb-989	189	14	1	1	NUM
ajbmeb-989	189	15	.	.	PUNCT
ajbmeb-989	189	16	artificial	artificial	ADJ
ajbmeb-989	189	17	neural	neural	ADJ
ajbmeb-989	189	18	networks	network	NOUN
ajbmeb-989	189	19	the	the	DET
ajbmeb-989	189	20	estimated	estimate	VERB
ajbmeb-989	189	21	parameters	parameter	NOUN
ajbmeb-989	189	22	were	be	AUX
ajbmeb-989	189	23	as	as	ADP
ajbmeb-989	189	24	following	follow	VERB
ajbmeb-989	189	25	:	:	PUNCT
ajbmeb-989	189	26	table	table	NOUN
ajbmeb-989	189	27	5	5	NUM
ajbmeb-989	189	28	.	.	PUNCT
ajbmeb-989	190	1	estimated	estimate	VERB
ajbmeb-989	190	2	parameters	parameter	NOUN
ajbmeb-989	190	3	predictor	predictor	NOUN
ajbmeb-989	190	4	predicted	predict	VERB
ajbmeb-989	190	5	hidden	hidden	ADJ
ajbmeb-989	190	6	layer	layer	NOUN
ajbmeb-989	190	7	1	1	NUM
ajbmeb-989	190	8	output	output	NOUN
ajbmeb-989	190	9	layer	layer	NOUN
ajbmeb-989	190	10	h(1:1	h(1:1	NOUN
ajbmeb-989	190	11	)	)	PUNCT
ajbmeb-989	190	12	h(1:2	h(1:2	NOUN
ajbmeb-989	190	13	)	)	PUNCT
ajbmeb-989	190	14	h(1:3	h(1:3	NOUN
ajbmeb-989	190	15	)	)	PUNCT
ajbmeb-989	190	16	cml=1	cml=1	NOUN
ajbmeb-989	190	17	cml=2	cml=2	VERB
ajbmeb-989	190	18	cml=3	cml=3	ADJ
ajbmeb-989	191	1	input	input	NOUN
ajbmeb-989	191	2	layer	layer	NOUN
ajbmeb-989	191	3	(	(	PUNCT
ajbmeb-989	191	4	bias	bias	NOUN
ajbmeb-989	191	5	)	)	PUNCT
ajbmeb-989	191	6	0.062	0.062	NUM
ajbmeb-989	191	7	-0.772	-0.772	NOUN
ajbmeb-989	191	8	1.069	1.069	NUM
ajbmeb-989	191	9	weight	weight	NOUN
ajbmeb-989	191	10	-0.655	-0.655	NUM
ajbmeb-989	191	11	1.823	1.823	NUM
ajbmeb-989	191	12	-0.914	-0.914	PUNCT
ajbmeb-989	191	13	plt	plt	NOUN
ajbmeb-989	191	14	1.428	1.428	NUM
ajbmeb-989	191	15	1.84	1.84	NUM
ajbmeb-989	191	16	0.543	0.543	NUM
ajbmeb-989	191	17	bme	bme	NOUN
ajbmeb-989	191	18	-1.889	-1.889	VERB
ajbmeb-989	191	19	2.864	2.864	NUM
ajbmeb-989	191	20	3.01	3.01	NUM
ajbmeb-989	191	21	hidden	hide	VERB
ajbmeb-989	191	22	layer	layer	NOUN
ajbmeb-989	191	23	1	1	NUM
ajbmeb-989	191	24	(	(	PUNCT
ajbmeb-989	191	25	bias	bias	NOUN
ajbmeb-989	191	26	)	)	PUNCT
ajbmeb-989	191	27	-0.551	-0.551	X
ajbmeb-989	191	28	-0.469	-0.469	X
ajbmeb-989	191	29	1.204	1.204	NUM
ajbmeb-989	191	30	h(1:1	h(1:1	NOUN
ajbmeb-989	191	31	)	)	PUNCT
ajbmeb-989	191	32	2.318	2.318	NUM
ajbmeb-989	191	33	-0.402	-0.402	NOUN
ajbmeb-989	191	34	-1.773	-1.773	PROPN
ajbmeb-989	191	35	h(1:2	h(1:2	NOUN
ajbmeb-989	191	36	)	)	PUNCT
ajbmeb-989	191	37	2.053	2.053	NUM
ajbmeb-989	191	38	-2.714	-2.714	NUM
ajbmeb-989	191	39	0.982	0.982	NUM
ajbmeb-989	191	40	h(1:3	h(1:3	NOUN
ajbmeb-989	191	41	)	)	PUNCT
ajbmeb-989	191	42	-1.422	-1.422	ADP
ajbmeb-989	191	43	2.045	2.045	NUM
ajbmeb-989	191	44	-1.309	-1.309	PROPN
ajbmeb-989	191	45	american	american	PROPN
ajbmeb-989	191	46	journal	journal	PROPN
ajbmeb-989	191	47	of	of	ADP
ajbmeb-989	191	48	business	business	NOUN
ajbmeb-989	191	49	management	management	NOUN
ajbmeb-989	191	50	,	,	PUNCT
ajbmeb-989	191	51	economics	economic	NOUN
ajbmeb-989	191	52	and	and	CCONJ
ajbmeb-989	191	53	banking	banking	NOUN
ajbmeb-989	191	54	volume	volume	NOUN
ajbmeb-989	191	55	13	13	NUM
ajbmeb-989	191	56	june	june	PROPN
ajbmeb-989	191	57	,	,	PUNCT
ajbmeb-989	191	58	2023	2023	NUM
ajbmeb-989	191	59	p	p	NOUN
ajbmeb-989	191	60	a	a	DET
ajbmeb-989	191	61	g	g	NOUN
ajbmeb-989	191	62	e	e	NOUN
ajbmeb-989	191	63	|	|	ADV
ajbmeb-989	191	64	86	86	NUM
ajbmeb-989	191	65	www.americanjournal.org	www.americanjournal.org	NOUN
ajbmeb-989	191	66	this	this	DET
ajbmeb-989	191	67	method	method	NOUN
ajbmeb-989	191	68	achieved	achieve	VERB
ajbmeb-989	191	69	a	a	DET
ajbmeb-989	191	70	much	much	ADV
ajbmeb-989	191	71	higher	high	ADJ
ajbmeb-989	191	72	correct	correct	ADJ
ajbmeb-989	191	73	classification	classification	NOUN
ajbmeb-989	191	74	rate	rate	NOUN
ajbmeb-989	191	75	than	than	ADP
ajbmeb-989	191	76	the	the	DET
ajbmeb-989	191	77	multiple	multiple	ADJ
ajbmeb-989	191	78	lrm	lrm	NOUN
ajbmeb-989	191	79	,	,	PUNCT
ajbmeb-989	191	80	as	as	SCONJ
ajbmeb-989	191	81	shown	show	VERB
ajbmeb-989	191	82	in	in	ADP
ajbmeb-989	191	83	table	table	NOUN
ajbmeb-989	191	84	6	6	NUM
ajbmeb-989	191	85	below	below	ADV
ajbmeb-989	191	86	:	:	PUNCT
ajbmeb-989	191	87	table	table	NOUN
ajbmeb-989	191	88	6	6	NUM
ajbmeb-989	191	89	.	.	PUNCT
ajbmeb-989	191	90	confusion	confusion	NOUN
ajbmeb-989	191	91	matrix	matrix	NOUN
ajbmeb-989	191	92	for	for	ADP
ajbmeb-989	191	93	the	the	DET
ajbmeb-989	191	94	artificial	artificial	ADJ
ajbmeb-989	191	95	neural	neural	ADJ
ajbmeb-989	191	96	network	network	NOUN
ajbmeb-989	191	97	correct	correct	ADJ
ajbmeb-989	191	98	rating	rating	NOUN
ajbmeb-989	191	99	ratio	ratio	NOUN
ajbmeb-989	191	100	predictor	predictor	NOUN
ajbmeb-989	191	101	classification	classification	NOUN
ajbmeb-989	191	102	total	total	NOUN
ajbmeb-989	191	103	blast	blast	NOUN
ajbmeb-989	191	104	phase	phase	NOUN
ajbmeb-989	191	105	accelerated	accelerate	VERB
ajbmeb-989	191	106	phase	phase	NOUN
ajbmeb-989	191	107	chronic	chronic	ADJ
ajbmeb-989	191	108	phase	phase	NOUN
ajbmeb-989	191	109	91.9	91.9	NUM
ajbmeb-989	191	110	%	%	NOUN
ajbmeb-989	191	111	62	62	NUM
ajbmeb-989	191	112	2	2	NUM
ajbmeb-989	191	113	3	3	NUM
ajbmeb-989	191	114	57	57	NUM
ajbmeb-989	191	115	chronic	chronic	ADJ
ajbmeb-989	191	116	phase	phase	NOUN
ajbmeb-989	191	117	observation	observation	NOUN
ajbmeb-989	191	118	62.5	62.5	NUM
ajbmeb-989	191	119	%	%	NOUN
ajbmeb-989	191	120	48	48	NUM
ajbmeb-989	191	121	3	3	NUM
ajbmeb-989	191	122	30	30	NUM
ajbmeb-989	191	123	15	15	NUM
ajbmeb-989	191	124	accelerated	accelerate	VERB
ajbmeb-989	191	125	phase	phase	NOUN
ajbmeb-989	191	126	65.0	65.0	NUM
ajbmeb-989	191	127	%	%	NOUN
ajbmeb-989	191	128	40	40	NUM
ajbmeb-989	191	129	26	26	NUM
ajbmeb-989	191	130	4	4	NUM
ajbmeb-989	191	131	10	10	NUM
ajbmeb-989	191	132	blast	blast	NOUN
ajbmeb-989	191	133	phase	phase	NOUN
ajbmeb-989	191	134	75.3	75.3	NUM
ajbmeb-989	191	135	%	%	NOUN
ajbmeb-989	192	1	150	150	NUM
ajbmeb-989	192	2	31	31	NUM
ajbmeb-989	192	3	37	37	NUM
ajbmeb-989	192	4	82	82	NUM
ajbmeb-989	192	5	total	total	NOUN
ajbmeb-989	192	6	it	it	PRON
ajbmeb-989	192	7	can	can	AUX
ajbmeb-989	192	8	be	be	AUX
ajbmeb-989	192	9	seen	see	VERB
ajbmeb-989	192	10	from	from	ADP
ajbmeb-989	192	11	table	table	NOUN
ajbmeb-989	192	12	6	6	NUM
ajbmeb-989	192	13	that	that	SCONJ
ajbmeb-989	192	14	the	the	DET
ajbmeb-989	192	15	ccr	ccr	PROPN
ajbmeb-989	192	16	for	for	ADP
ajbmeb-989	192	17	the	the	DET
ajbmeb-989	192	18	chronic	chronic	ADJ
ajbmeb-989	192	19	phase	phase	NOUN
ajbmeb-989	192	20	is	be	AUX
ajbmeb-989	192	21	91.9	91.9	NUM
ajbmeb-989	192	22	%	%	NOUN
ajbmeb-989	192	23	,	,	PUNCT
ajbmeb-989	192	24	which	which	PRON
ajbmeb-989	192	25	is	be	AUX
ajbmeb-989	192	26	higher	high	ADJ
ajbmeb-989	192	27	than	than	ADP
ajbmeb-989	192	28	the	the	DET
ajbmeb-989	192	29	ccr	ccr	PROPN
ajbmeb-989	192	30	in	in	ADP
ajbmeb-989	192	31	the	the	DET
ajbmeb-989	192	32	multiple	multiple	ADJ
ajbmeb-989	192	33	logistic	logistic	ADJ
ajbmeb-989	192	34	regression	regression	NOUN
ajbmeb-989	192	35	model	model	NOUN
ajbmeb-989	192	36	(	(	PUNCT
ajbmeb-989	192	37	80.6	80.6	NUM
ajbmeb-989	192	38	%	%	NOUN
ajbmeb-989	192	39	)	)	PUNCT
ajbmeb-989	192	40	.	.	PUNCT
ajbmeb-989	193	1	the	the	DET
ajbmeb-989	193	2	correct	correct	ADJ
ajbmeb-989	193	3	classification	classification	NOUN
ajbmeb-989	193	4	rate	rate	NOUN
ajbmeb-989	193	5	for	for	ADP
ajbmeb-989	193	6	the	the	DET
ajbmeb-989	193	7	accelerated	accelerate	VERB
ajbmeb-989	193	8	phase	phase	NOUN
ajbmeb-989	193	9	is	be	AUX
ajbmeb-989	193	10	62.5	62.5	NUM
ajbmeb-989	193	11	%	%	NOUN
ajbmeb-989	193	12	,	,	PUNCT
ajbmeb-989	193	13	which	which	PRON
ajbmeb-989	193	14	is	be	AUX
ajbmeb-989	193	15	higher	high	ADJ
ajbmeb-989	193	16	than	than	ADP
ajbmeb-989	193	17	in	in	ADP
ajbmeb-989	193	18	the	the	DET
ajbmeb-989	193	19	lrm	lrm	NOUN
ajbmeb-989	193	20	(	(	PUNCT
ajbmeb-989	193	21	39.6	39.6	NUM
ajbmeb-989	193	22	%	%	NOUN
ajbmeb-989	193	23	)	)	PUNCT
ajbmeb-989	193	24	,	,	PUNCT
ajbmeb-989	193	25	and	and	CCONJ
ajbmeb-989	193	26	the	the	DET
ajbmeb-989	193	27	ccr	ccr	PROPN
ajbmeb-989	193	28	for	for	ADP
ajbmeb-989	193	29	the	the	DET
ajbmeb-989	193	30	blast	blast	NOUN
ajbmeb-989	193	31	phase	phase	NOUN
ajbmeb-989	193	32	is	be	AUX
ajbmeb-989	193	33	65	65	NUM
ajbmeb-989	193	34	%	%	NOUN
ajbmeb-989	193	35	,	,	PUNCT
ajbmeb-989	193	36	which	which	PRON
ajbmeb-989	193	37	is	be	AUX
ajbmeb-989	193	38	higher	high	ADJ
ajbmeb-989	193	39	than	than	ADP
ajbmeb-989	193	40	in	in	ADP
ajbmeb-989	193	41	the	the	DET
ajbmeb-989	193	42	lrm	lrm	NOUN
ajbmeb-989	193	43	(	(	PUNCT
ajbmeb-989	193	44	32.5	32.5	NUM
ajbmeb-989	193	45	%	%	NOUN
ajbmeb-989	193	46	)	)	PUNCT
ajbmeb-989	193	47	.	.	PUNCT
ajbmeb-989	194	1	therefore	therefore	ADV
ajbmeb-989	194	2	,	,	PUNCT
ajbmeb-989	194	3	the	the	DET
ajbmeb-989	194	4	overall	overall	ADJ
ajbmeb-989	194	5	ccr	ccr	PROPN
ajbmeb-989	194	6	for	for	ADP
ajbmeb-989	194	7	the	the	DET
ajbmeb-989	194	8	ann	ann	PROPN
ajbmeb-989	194	9	method	method	NOUN
ajbmeb-989	194	10	is	be	AUX
ajbmeb-989	194	11	75.3	75.3	NUM
ajbmeb-989	194	12	%	%	NOUN
ajbmeb-989	194	13	,	,	PUNCT
ajbmeb-989	194	14	which	which	PRON
ajbmeb-989	194	15	is	be	AUX
ajbmeb-989	194	16	higher	high	ADJ
ajbmeb-989	194	17	than	than	ADP
ajbmeb-989	194	18	the	the	DET
ajbmeb-989	194	19	overall	overall	ADJ
ajbmeb-989	194	20	ccr	ccr	PROPN
ajbmeb-989	194	21	in	in	ADP
ajbmeb-989	194	22	the	the	DET
ajbmeb-989	194	23	multiple	multiple	ADJ
ajbmeb-989	194	24	lrm	lrm	NOUN
ajbmeb-989	194	25	(	(	PUNCT
ajbmeb-989	194	26	54.7	54.7	NUM
ajbmeb-989	194	27	%	%	NOUN
ajbmeb-989	194	28	)	)	PUNCT
ajbmeb-989	194	29	.	.	PUNCT
ajbmeb-989	195	1	conclusions	conclusion	NOUN
ajbmeb-989	195	2	from	from	ADP
ajbmeb-989	195	3	the	the	DET
ajbmeb-989	195	4	results	result	NOUN
ajbmeb-989	195	5	,	,	PUNCT
ajbmeb-989	195	6	we	we	PRON
ajbmeb-989	195	7	conclude	conclude	VERB
ajbmeb-989	195	8	that	that	SCONJ
ajbmeb-989	195	9	the	the	DET
ajbmeb-989	195	10	correct	correct	ADJ
ajbmeb-989	195	11	classification	classification	NOUN
ajbmeb-989	195	12	rate	rate	NOUN
ajbmeb-989	195	13	(	(	PUNCT
ajbmeb-989	195	14	ccr	ccr	PROPN
ajbmeb-989	195	15	)	)	PUNCT
ajbmeb-989	195	16	when	when	SCONJ
ajbmeb-989	195	17	modeling	model	VERB
ajbmeb-989	195	18	using	use	VERB
ajbmeb-989	195	19	the	the	DET
ajbmeb-989	195	20	multiple	multiple	ADJ
ajbmeb-989	195	21	logistic	logistic	ADJ
ajbmeb-989	195	22	regression	regression	NOUN
ajbmeb-989	195	23	method	method	NOUN
ajbmeb-989	195	24	is	be	AUX
ajbmeb-989	195	25	approximately	approximately	ADV
ajbmeb-989	195	26	55	55	NUM
ajbmeb-989	195	27	%	%	NOUN
ajbmeb-989	195	28	,	,	PUNCT
ajbmeb-989	195	29	while	while	SCONJ
ajbmeb-989	195	30	ccr	ccr	PROPN
ajbmeb-989	195	31	when	when	SCONJ
ajbmeb-989	195	32	using	use	VERB
ajbmeb-989	195	33	the	the	DET
ajbmeb-989	195	34	artificial	artificial	ADJ
ajbmeb-989	195	35	neural	neural	ADJ
ajbmeb-989	195	36	network	network	NOUN
ajbmeb-989	195	37	method	method	NOUN
ajbmeb-989	195	38	was	be	AUX
ajbmeb-989	195	39	approximately	approximately	ADV
ajbmeb-989	195	40	75	75	NUM
ajbmeb-989	195	41	%	%	NOUN
ajbmeb-989	195	42	.	.	PUNCT
ajbmeb-989	196	1	this	this	PRON
ajbmeb-989	196	2	indicates	indicate	VERB
ajbmeb-989	196	3	a	a	DET
ajbmeb-989	196	4	superiority	superiority	NOUN
ajbmeb-989	196	5	of	of	ADP
ajbmeb-989	196	6	the	the	DET
ajbmeb-989	196	7	artificial	artificial	ADJ
ajbmeb-989	196	8	neural	neural	ADJ
ajbmeb-989	196	9	network	network	NOUN
ajbmeb-989	196	10	(	(	PUNCT
ajbmeb-989	196	11	ann	ann	PROPN
ajbmeb-989	196	12	)	)	PUNCT
ajbmeb-989	196	13	method	method	NOUN
ajbmeb-989	196	14	by	by	ADP
ajbmeb-989	196	15	about	about	ADV
ajbmeb-989	196	16	20	20	NUM
ajbmeb-989	196	17	%	%	NOUN
ajbmeb-989	196	18	.	.	PUNCT
ajbmeb-989	197	1	recommendations	recommendation	NOUN
ajbmeb-989	197	2	1	1	NUM
ajbmeb-989	197	3	.	.	PUNCT
ajbmeb-989	198	1	adopting	adopt	VERB
ajbmeb-989	198	2	the	the	DET
ajbmeb-989	198	3	use	use	NOUN
ajbmeb-989	198	4	of	of	ADP
ajbmeb-989	198	5	ann	ann	PROPN
ajbmeb-989	198	6	models	model	NOUN
ajbmeb-989	198	7	in	in	ADP
ajbmeb-989	198	8	studies	study	NOUN
ajbmeb-989	198	9	and	and	CCONJ
ajbmeb-989	198	10	research	research	NOUN
ajbmeb-989	198	11	due	due	ADP
ajbmeb-989	198	12	to	to	ADP
ajbmeb-989	198	13	their	their	PRON
ajbmeb-989	198	14	high	high	ADJ
ajbmeb-989	198	15	accuracy	accuracy	NOUN
ajbmeb-989	198	16	,	,	PUNCT
ajbmeb-989	198	17	low	low	ADJ
ajbmeb-989	198	18	error	error	NOUN
ajbmeb-989	198	19	rates	rate	NOUN
ajbmeb-989	198	20	,	,	PUNCT
ajbmeb-989	198	21	and	and	CCONJ
ajbmeb-989	198	22	adaptability	adaptability	NOUN
ajbmeb-989	198	23	in	in	ADP
ajbmeb-989	198	24	dealing	deal	VERB
ajbmeb-989	198	25	with	with	ADP
ajbmeb-989	198	26	data	datum	NOUN
ajbmeb-989	198	27	as	as	SCONJ
ajbmeb-989	198	28	they	they	PRON
ajbmeb-989	198	29	are	be	AUX
ajbmeb-989	198	30	considered	consider	VERB
ajbmeb-989	198	31	adaptive	adaptive	ADJ
ajbmeb-989	198	32	methods	method	NOUN
ajbmeb-989	198	33	.	.	PUNCT
ajbmeb-989	199	1	2	2	X
ajbmeb-989	199	2	.	.	X
ajbmeb-989	199	3	it	it	PRON
ajbmeb-989	199	4	is	be	AUX
ajbmeb-989	199	5	important	important	ADJ
ajbmeb-989	199	6	to	to	PART
ajbmeb-989	199	7	measure	measure	VERB
ajbmeb-989	199	8	the	the	DET
ajbmeb-989	199	9	quality	quality	NOUN
ajbmeb-989	199	10	of	of	ADP
ajbmeb-989	199	11	fit	fit	NOUN
ajbmeb-989	199	12	of	of	ADP
ajbmeb-989	199	13	the	the	DET
ajbmeb-989	199	14	model	model	NOUN
ajbmeb-989	199	15	in	in	ADP
ajbmeb-989	199	16	the	the	DET
ajbmeb-989	199	17	case	case	NOUN
ajbmeb-989	199	18	of	of	ADP
ajbmeb-989	199	19	mlr	mlr	PROPN
ajbmeb-989	199	20	to	to	PART
ajbmeb-989	199	21	determine	determine	VERB
ajbmeb-989	199	22	the	the	DET
ajbmeb-989	199	23	significance	significance	NOUN
ajbmeb-989	199	24	of	of	ADP
ajbmeb-989	199	25	the	the	DET
ajbmeb-989	199	26	relationship	relationship	NOUN
ajbmeb-989	199	27	between	between	ADP
ajbmeb-989	199	28	response	response	NOUN
ajbmeb-989	199	29	and	and	CCONJ
ajbmeb-989	199	30	explanatory	explanatory	ADJ
ajbmeb-989	199	31	variables	variable	NOUN
ajbmeb-989	199	32	before	before	ADP
ajbmeb-989	199	33	starting	start	VERB
ajbmeb-989	199	34	the	the	DET
ajbmeb-989	199	35	analysis	analysis	NOUN
ajbmeb-989	199	36	process	process	NOUN
ajbmeb-989	199	37	.	.	PUNCT
ajbmeb-989	200	1	3	3	X
ajbmeb-989	200	2	.	.	X
ajbmeb-989	200	3	developing	develop	VERB
ajbmeb-989	200	4	the	the	DET
ajbmeb-989	200	5	healthcare	healthcare	NOUN
ajbmeb-989	200	6	sector	sector	NOUN
ajbmeb-989	200	7	by	by	ADP
ajbmeb-989	200	8	the	the	DET
ajbmeb-989	200	9	relevant	relevant	ADJ
ajbmeb-989	200	10	authorities	authority	NOUN
ajbmeb-989	200	11	and	and	CCONJ
ajbmeb-989	200	12	create	create	VERB
ajbmeb-989	200	13	a	a	DET
ajbmeb-989	200	14	plan	plan	NOUN
ajbmeb-989	200	15	to	to	PART
ajbmeb-989	200	16	increase	increase	VERB
ajbmeb-989	200	17	health	health	NOUN
ajbmeb-989	200	18	awareness	awareness	NOUN
ajbmeb-989	200	19	through	through	ADP
ajbmeb-989	200	20	educating	educate	VERB
ajbmeb-989	200	21	and	and	CCONJ
ajbmeb-989	200	22	encouraging	encourage	VERB
ajbmeb-989	200	23	citizens	citizen	NOUN
ajbmeb-989	200	24	to	to	PART
ajbmeb-989	200	25	have	have	VERB
ajbmeb-989	200	26	regular	regular	ADJ
ajbmeb-989	200	27	check	check	NOUN
ajbmeb-989	200	28	-	-	PUNCT
ajbmeb-989	200	29	ups	up	NOUN
ajbmeb-989	200	30	for	for	ADP
ajbmeb-989	200	31	early	early	ADJ
ajbmeb-989	200	32	detection	detection	NOUN
ajbmeb-989	200	33	of	of	ADP
ajbmeb-989	200	34	blood	blood	NOUN
ajbmeb-989	200	35	cancer	cancer	NOUN
ajbmeb-989	200	36	diseases	disease	NOUN
ajbmeb-989	200	37	.	.	PUNCT
ajbmeb-989	201	1	4	4	X
ajbmeb-989	201	2	.	.	X
ajbmeb-989	201	3	it	it	PRON
ajbmeb-989	201	4	is	be	AUX
ajbmeb-989	201	5	necessary	necessary	ADJ
ajbmeb-989	201	6	to	to	PART
ajbmeb-989	201	7	record	record	VERB
ajbmeb-989	201	8	complete	complete	ADJ
ajbmeb-989	201	9	information	information	NOUN
ajbmeb-989	201	10	and	and	CCONJ
ajbmeb-989	201	11	data	datum	NOUN
ajbmeb-989	201	12	for	for	ADP
ajbmeb-989	201	13	each	each	DET
ajbmeb-989	201	14	patient	patient	NOUN
ajbmeb-989	201	15	in	in	ADP
ajbmeb-989	201	16	their	their	PRON
ajbmeb-989	201	17	own	own	ADJ
ajbmeb-989	201	18	medical	medical	ADJ
ajbmeb-989	201	19	records	record	NOUN
ajbmeb-989	201	20	to	to	PART
ajbmeb-989	201	21	benefit	benefit	VERB
ajbmeb-989	201	22	from	from	ADP
ajbmeb-989	201	23	them	they	PRON
ajbmeb-989	201	24	as	as	SCONJ
ajbmeb-989	201	25	data	data	NOUN
ajbmeb-989	201	26	is	be	AUX
ajbmeb-989	201	27	the	the	DET
ajbmeb-989	201	28	basis	basis	NOUN
ajbmeb-989	201	29	for	for	ADP
ajbmeb-989	201	30	conducting	conduct	VERB
ajbmeb-989	201	31	research	research	NOUN
ajbmeb-989	201	32	and	and	CCONJ
ajbmeb-989	201	33	studies	study	NOUN
ajbmeb-989	201	34	.	.	PUNCT
ajbmeb-989	202	1	references	reference	NOUN
ajbmeb-989	202	2	1	1	NUM
ajbmeb-989	202	3	.	.	PUNCT
ajbmeb-989	202	4	agresti	agresti	PROPN
ajbmeb-989	202	5	,	,	PUNCT
ajbmeb-989	202	6	a.	a.	NOUN
ajbmeb-989	202	7	(	(	PUNCT
ajbmeb-989	202	8	2002	2002	NUM
ajbmeb-989	202	9	)	)	PUNCT
ajbmeb-989	202	10	.	.	PUNCT
ajbmeb-989	203	1	categorical	categorical	ADJ
ajbmeb-989	203	2	data	datum	NOUN
ajbmeb-989	203	3	analysis	analysis	NOUN
ajbmeb-989	203	4	,	,	PUNCT
ajbmeb-989	203	5	(	(	PUNCT
ajbmeb-989	203	6	2	2	NUM
ajbmeb-989	203	7	nd	nd	NOUN
ajbmeb-989	203	8	edition	edition	NOUN
ajbmeb-989	203	9	)	)	PUNCT
ajbmeb-989	203	10	.	.	PUNCT
ajbmeb-989	204	1	hoboken	hoboken	PROPN
ajbmeb-989	204	2	:	:	PUNCT
ajbmeb-989	204	3	wiey	wiey	NOUN
ajbmeb-989	204	4	.	.	PUNCT
ajbmeb-989	205	1	2	2	NUM
ajbmeb-989	205	2	.	.	X
ajbmeb-989	205	3	agresti	agresti	PROPN
ajbmeb-989	205	4	,	,	PUNCT
ajbmeb-989	205	5	a.	a.	NOUN
ajbmeb-989	205	6	(	(	PUNCT
ajbmeb-989	205	7	1990	1990	NUM
ajbmeb-989	205	8	)	)	PUNCT
ajbmeb-989	205	9	.	.	PUNCT
ajbmeb-989	206	1	categorical	categorical	ADJ
ajbmeb-989	206	2	data	datum	NOUN
ajbmeb-989	206	3	analysis	analysis	NOUN
ajbmeb-989	206	4	.	.	PUNCT
ajbmeb-989	207	1	new	new	PROPN
ajbmeb-989	207	2	york	york	PROPN
ajbmeb-989	207	3	:	:	PUNCT
ajbmeb-989	207	4	john	john	PROPN
ajbmeb-989	207	5	wiley	wiley	PROPN
ajbmeb-989	207	6	sons	sons	PROPN
ajbmeb-989	207	7	,	,	PUNCT
ajbmeb-989	207	8	inc	inc	PROPN
ajbmeb-989	207	9	.	.	PROPN
ajbmeb-989	207	10	3	3	X
ajbmeb-989	207	11	.	.	X
ajbmeb-989	208	1	al	al	PROPN
ajbmeb-989	208	2	-	-	PUNCT
ajbmeb-989	208	3	afifi	afifi	PROPN
ajbmeb-989	208	4	,	,	PUNCT
ajbmeb-989	208	5	r	r	NOUN
ajbmeb-989	208	6	.m	.m	NOUN
ajbmeb-989	208	7	.	.	PUNCT
ajbmeb-989	209	1	(	(	PUNCT
ajbmeb-989	209	2	2010	2010	NUM
ajbmeb-989	209	3	)	)	PUNCT
ajbmeb-989	209	4	.	.	PUNCT
ajbmeb-989	210	1	the	the	DET
ajbmeb-989	210	2	use	use	NOUN
ajbmeb-989	210	3	of	of	ADP
ajbmeb-989	210	4	multinomial	multinomial	ADJ
ajbmeb-989	210	5	logistic	logistic	ADJ
ajbmeb-989	210	6	regression	regression	NOUN
ajbmeb-989	210	7	model	model	NOUN
ajbmeb-989	210	8	on	on	ADP
ajbmeb-989	210	9	physical	physical	ADJ
ajbmeb-989	210	10	violence	violence	NOUN
ajbmeb-989	210	11	data	datum	NOUN
ajbmeb-989	210	12	.	.	PUNCT
ajbmeb-989	211	1	(	(	PUNCT
ajbmeb-989	211	2	master	master	NOUN
ajbmeb-989	211	3	thesis	thesis	NOUN
ajbmeb-989	211	4	)	)	PUNCT
ajbmeb-989	211	5	.	.	PUNCT
ajbmeb-989	212	1	gaza	gaza	PROPN
ajbmeb-989	212	2	,	,	PUNCT
ajbmeb-989	212	3	alazhar	alazhar	PROPN
ajbmeb-989	212	4	university	university	PROPN
ajbmeb-989	212	5	.	.	PUNCT
ajbmeb-989	213	1	american	american	PROPN
ajbmeb-989	213	2	journal	journal	PROPN
ajbmeb-989	213	3	of	of	ADP
ajbmeb-989	213	4	business	business	NOUN
ajbmeb-989	213	5	management	management	NOUN
ajbmeb-989	213	6	,	,	PUNCT
ajbmeb-989	213	7	economics	economic	NOUN
ajbmeb-989	213	8	and	and	CCONJ
ajbmeb-989	213	9	banking	banking	NOUN
ajbmeb-989	213	10	volume	volume	NOUN
ajbmeb-989	213	11	13	13	NUM
ajbmeb-989	213	12	june	june	PROPN
ajbmeb-989	213	13	,	,	PUNCT
ajbmeb-989	213	14	2023	2023	NUM
ajbmeb-989	213	15	p	p	NOUN
ajbmeb-989	213	16	a	a	DET
ajbmeb-989	213	17	g	g	NOUN
ajbmeb-989	213	18	e	e	NOUN
ajbmeb-989	213	19	|	|	ADV
ajbmeb-989	213	20	87	87	NUM
ajbmeb-989	213	21	www.americanjournal.org	www.americanjournal.org	PROPN
ajbmeb-989	213	22	4	4	NUM
ajbmeb-989	213	23	.	.	PUNCT
ajbmeb-989	214	1	al	al	PROPN
ajbmeb-989	214	2	-	-	PUNCT
ajbmeb-989	214	3	bayati	bayati	PROPN
ajbmeb-989	214	4	,	,	PUNCT
ajbmeb-989	214	5	h.	h.	PROPN
ajbmeb-989	214	6	i.	i.	PROPN
ajbmeb-989	214	7	s.	s.	PROPN
ajbmeb-989	214	8	(	(	PUNCT
ajbmeb-989	214	9	2005	2005	NUM
ajbmeb-989	214	10	)	)	PUNCT
ajbmeb-989	214	11	.	.	PUNCT
ajbmeb-989	215	1	path	path	NOUN
ajbmeb-989	215	2	analysis	analysis	NOUN
ajbmeb-989	215	3	in	in	ADP
ajbmeb-989	215	4	the	the	DET
ajbmeb-989	215	5	logistic	logistic	ADJ
ajbmeb-989	215	6	regression	regression	NOUN
ajbmeb-989	215	7	model	model	NOUN
ajbmeb-989	215	8	with	with	ADP
ajbmeb-989	215	9	a	a	DET
ajbmeb-989	215	10	practical	practical	ADJ
ajbmeb-989	215	11	application	application	NOUN
ajbmeb-989	215	12	,	,	PUNCT
ajbmeb-989	215	13	(	(	PUNCT
ajbmeb-989	215	14	unpublished	unpublished	ADJ
ajbmeb-989	215	15	master	master	NOUN
ajbmeb-989	215	16	's	's	PART
ajbmeb-989	215	17	thesis	thesis	NOUN
ajbmeb-989	215	18	)	)	PUNCT
ajbmeb-989	215	19	.	.	PUNCT
ajbmeb-989	216	1	al	al	PROPN
ajbmeb-989	216	2	-	-	PUNCT
ajbmeb-989	216	3	mustansiriya	mustansiriya	PROPN
ajbmeb-989	216	4	university	university	NOUN
ajbmeb-989	216	5	.	.	PUNCT
ajbmeb-989	217	1	5	5	X
ajbmeb-989	217	2	.	.	X
ajbmeb-989	217	3	al	al	PROPN
ajbmeb-989	217	4	-	-	PUNCT
ajbmeb-989	217	5	nasser	nasser	PROPN
ajbmeb-989	217	6	,	,	PUNCT
ajbmeb-989	217	7	a.	a.	PROPN
ajbmeb-989	217	8	h.	h.	PROPN
ajbmeb-989	217	9	&	&	CCONJ
ajbmeb-989	217	10	al	al	PROPN
ajbmeb-989	217	11	-	-	PUNCT
ajbmeb-989	217	12	obaidi	obaidi	PROPN
ajbmeb-989	217	13	,	,	PUNCT
ajbmeb-989	217	14	m.	m.	NOUN
ajbmeb-989	217	15	a.	a.	NOUN
ajbmeb-989	217	16	(	(	PUNCT
ajbmeb-989	217	17	2003	2003	NUM
ajbmeb-989	217	18	)	)	PUNCT
ajbmeb-989	217	19	.	.	PUNCT
ajbmeb-989	218	1	using	use	VERB
ajbmeb-989	218	2	neural	neural	ADJ
ajbmeb-989	218	3	networks	network	NOUN
ajbmeb-989	218	4	to	to	PART
ajbmeb-989	218	5	predict	predict	VERB
ajbmeb-989	218	6	future	future	ADJ
ajbmeb-989	218	7	values	value	NOUN
ajbmeb-989	218	8	of	of	ADP
ajbmeb-989	218	9	irregular	irregular	ADJ
ajbmeb-989	218	10	time	time	NOUN
ajbmeb-989	218	11	series	series	NOUN
ajbmeb-989	218	12	in	in	ADP
ajbmeb-989	218	13	seasonal	seasonal	ADJ
ajbmeb-989	218	14	length	length	NOUN
ajbmeb-989	218	15	.	.	PUNCT
ajbmeb-989	219	1	iraqi	iraqi	ADJ
ajbmeb-989	219	2	journal	journal	NOUN
ajbmeb-989	219	3	of	of	ADP
ajbmeb-989	219	4	statistical	statistical	ADJ
ajbmeb-989	219	5	sciences	science	NOUN
ajbmeb-989	219	6	,	,	PUNCT
ajbmeb-989	219	7	3	3	NUM
ajbmeb-989	219	8	,	,	PUNCT
ajbmeb-989	219	9	(	(	PUNCT
ajbmeb-989	219	10	6	6	NUM
ajbmeb-989	219	11	)	)	PUNCT
ajbmeb-989	219	12	,	,	PUNCT
ajbmeb-989	219	13	1	1	NUM
ajbmeb-989	219	14	-	-	SYM
ajbmeb-989	219	15	16	16	NUM
ajbmeb-989	219	16	6	6	NUM
ajbmeb-989	219	17	.	.	PUNCT
ajbmeb-989	220	1	al	al	PROPN
ajbmeb-989	220	2	-	-	PUNCT
ajbmeb-989	220	3	obeidi	obeidi	NOUN
ajbmeb-989	220	4	,	,	PUNCT
ajbmeb-989	220	5	m.	m.	NOUN
ajbmeb-989	220	6	(	(	PUNCT
ajbmeb-989	220	7	2013	2013	NUM
ajbmeb-989	220	8	)	)	PUNCT
ajbmeb-989	220	9	.	.	PUNCT
ajbmeb-989	221	1	artificial	artificial	ADJ
ajbmeb-989	221	2	neural	neural	ADJ
ajbmeb-989	221	3	networks	network	NOUN
ajbmeb-989	221	4	.	.	PUNCT
ajbmeb-989	222	1	computer	computer	NOUN
ajbmeb-989	222	2	research	research	NOUN
ajbmeb-989	222	3	journal	journal	PROPN
ajbmeb-989	222	4	,	,	PUNCT
ajbmeb-989	222	5	4(1	4(1	NOUN
ajbmeb-989	222	6	)	)	PUNCT
ajbmeb-989	222	7	7	7	NUM
ajbmeb-989	222	8	.	.	PUNCT
ajbmeb-989	223	1	al	al	PROPN
ajbmeb-989	223	2	-	-	PUNCT
ajbmeb-989	223	3	razami	razami	NOUN
ajbmeb-989	223	4	,	,	PUNCT
ajbmeb-989	223	5	a.	a.	NOUN
ajbmeb-989	223	6	y.	y.	PROPN
ajbmeb-989	223	7	(	(	PUNCT
ajbmeb-989	223	8	2000	2000	NUM
ajbmeb-989	223	9	)	)	PUNCT
ajbmeb-989	223	10	.	.	PUNCT
ajbmeb-989	224	1	employing	employ	VERB
ajbmeb-989	224	2	the	the	DET
ajbmeb-989	224	3	logistics	logistic	NOUN
ajbmeb-989	224	4	model	model	NOUN
ajbmeb-989	224	5	and	and	CCONJ
ajbmeb-989	224	6	severity	severity	NOUN
ajbmeb-989	224	7	measures	measure	NOUN
ajbmeb-989	224	8	to	to	PART
ajbmeb-989	224	9	study	study	VERB
ajbmeb-989	224	10	the	the	DET
ajbmeb-989	224	11	epidemiology	epidemiology	NOUN
ajbmeb-989	224	12	of	of	ADP
ajbmeb-989	224	13	surgical	surgical	ADJ
ajbmeb-989	224	14	nervous	nervous	ADJ
ajbmeb-989	224	15	system	system	NOUN
ajbmeb-989	224	16	diseases	disease	NOUN
ajbmeb-989	224	17	at	at	ADP
ajbmeb-989	224	18	martyr	martyr	PROPN
ajbmeb-989	224	19	adnan	adnan	PROPN
ajbmeb-989	224	20	khairallah	khairallah	PROPN
ajbmeb-989	224	21	specialist	specialist	PROPN
ajbmeb-989	224	22	hospital	hospital	PROPN
ajbmeb-989	224	23	(	(	PUNCT
ajbmeb-989	224	24	unpublished	unpublished	ADJ
ajbmeb-989	224	25	master	master	NOUN
ajbmeb-989	224	26	's	's	PART
ajbmeb-989	224	27	thesis	thesis	NOUN
ajbmeb-989	224	28	)	)	PUNCT
ajbmeb-989	224	29	.	.	PUNCT
ajbmeb-989	225	1	al	al	PROPN
ajbmeb-989	225	2	-	-	PUNCT
ajbmeb-989	225	3	mustansiriya	mustansiriya	PROPN
ajbmeb-989	225	4	university	university	PROPN
ajbmeb-989	225	5	8	8	NUM
ajbmeb-989	225	6	.	.	PUNCT
ajbmeb-989	226	1	al	al	PROPN
ajbmeb-989	226	2	-	-	PUNCT
ajbmeb-989	226	3	sheikhly	sheikhly	ADV
ajbmeb-989	226	4	,	,	PUNCT
ajbmeb-989	226	5	e.	e.	PROPN
ajbmeb-989	226	6	a.	a.	PROPN
ajbmeb-989	226	7	l.	l.	PROPN
ajbmeb-989	226	8	(	(	PUNCT
ajbmeb-989	226	9	2003	2003	NUM
ajbmeb-989	226	10	)	)	PUNCT
ajbmeb-989	226	11	.	.	PUNCT
ajbmeb-989	227	1	designing	design	VERB
ajbmeb-989	227	2	a	a	DET
ajbmeb-989	227	3	nonlinear	nonlinear	ADJ
ajbmeb-989	227	4	dynamic	dynamic	ADJ
ajbmeb-989	227	5	mathematical	mathematical	ADJ
ajbmeb-989	227	6	system	system	NOUN
ajbmeb-989	227	7	using	use	VERB
ajbmeb-989	227	8	neural	neural	ADJ
ajbmeb-989	227	9	networks	network	NOUN
ajbmeb-989	227	10	(	(	PUNCT
ajbmeb-989	227	11	narmax	narmax	NOUN
ajbmeb-989	227	12	)	)	PUNCT
ajbmeb-989	227	13	for	for	ADP
ajbmeb-989	227	14	analytical	analytical	ADJ
ajbmeb-989	227	15	and	and	CCONJ
ajbmeb-989	227	16	predictive	predictive	ADJ
ajbmeb-989	227	17	purposes	purpose	NOUN
ajbmeb-989	227	18	of	of	ADP
ajbmeb-989	227	19	sales	sale	NOUN
ajbmeb-989	227	20	activity	activity	NOUN
ajbmeb-989	227	21	in	in	ADP
ajbmeb-989	227	22	the	the	DET
ajbmeb-989	227	23	baghdad	baghdad	PROPN
ajbmeb-989	227	24	electricity	electricity	NOUN
ajbmeb-989	227	25	company	company	NOUN
ajbmeb-989	227	26	,	,	PUNCT
ajbmeb-989	227	27	(	(	PUNCT
ajbmeb-989	227	28	unpublished	unpublished	ADJ
ajbmeb-989	227	29	master	master	NOUN
ajbmeb-989	227	30	thesis	thesis	NOUN
ajbmeb-989	227	31	)	)	PUNCT
ajbmeb-989	227	32	.	.	PUNCT
ajbmeb-989	228	1	university	university	NOUN
ajbmeb-989	228	2	of	of	ADP
ajbmeb-989	228	3	baghdad	baghdad	PROPN
ajbmeb-989	228	4	.	.	PUNCT
ajbmeb-989	229	1	9	9	X
ajbmeb-989	229	2	.	.	X
ajbmeb-989	229	3	cook	cook	PROPN
ajbmeb-989	229	4	,	,	PUNCT
ajbmeb-989	229	5	d.	d.	PROPN
ajbmeb-989	229	6	,	,	PUNCT
ajbmeb-989	229	7	dixon	dixon	PROPN
ajbmeb-989	229	8	,	,	PUNCT
ajbmeb-989	229	9	p.	p.	PROPN
ajbmeb-989	229	10	,	,	PUNCT
ajbmeb-989	229	11	duckworth	duckworth	NOUN
ajbmeb-989	229	12	,	,	PUNCT
ajbmeb-989	229	13	w.	w.	PROPN
ajbmeb-989	229	14	m.	m.	PROPN
ajbmeb-989	229	15	,	,	PUNCT
ajbmeb-989	229	16	kaiser	kaiser	PROPN
ajbmeb-989	229	17	,	,	PUNCT
ajbmeb-989	229	18	m.	m.	PROPN
ajbmeb-989	229	19	s.	s.	PROPN
ajbmeb-989	229	20	,	,	PUNCT
ajbmeb-989	229	21	koehler	koehler	PROPN
ajbmeb-989	229	22	,	,	PUNCT
ajbmeb-989	229	23	k.	k.	PROPN
ajbmeb-989	229	24	,	,	PUNCT
ajbmeb-989	229	25	meeker	meeker	PROPN
ajbmeb-989	229	26	,	,	PUNCT
ajbmeb-989	229	27	w.	w.	PROPN
ajbmeb-989	229	28	q.	q.	PROPN
ajbmeb-989	229	29	&	&	CCONJ
ajbmeb-989	229	30	stephenson	stephenson	PROPN
ajbmeb-989	229	31	,	,	PUNCT
ajbmeb-989	229	32	w.	w.	PROPN
ajbmeb-989	229	33	r.	r.	PROPN
ajbmeb-989	229	34	(	(	PUNCT
ajbmeb-989	229	35	2001	2001	NUM
ajbmeb-989	229	36	)	)	PUNCT
ajbmeb-989	229	37	.	.	PUNCT
ajbmeb-989	230	1	binary	binary	ADJ
ajbmeb-989	230	2	response	response	NOUN
ajbmeb-989	230	3	and	and	CCONJ
ajbmeb-989	230	4	logistic	logistic	ADJ
ajbmeb-989	230	5	regression	regression	NOUN
ajbmeb-989	230	6	analysis	analysis	NOUN
ajbmeb-989	230	7	.	.	PUNCT
ajbmeb-989	231	1	in	in	ADP
ajbmeb-989	231	2	project	project	NOUN
ajbmeb-989	231	3	beyond	beyond	ADP
ajbmeb-989	231	4	traditional	traditional	ADJ
ajbmeb-989	231	5	statistical	statistical	ADJ
ajbmeb-989	231	6	methods	method	NOUN
ajbmeb-989	231	7	(	(	PUNCT
ajbmeb-989	231	8	pp	pp	ADJ
ajbmeb-989	231	9	.	.	PUNCT
ajbmeb-989	231	10	1	1	NUM
ajbmeb-989	231	11	-	-	NUM
ajbmeb-989	231	12	23).usa	23).usa	NUM
ajbmeb-989	231	13	:	:	PUNCT
ajbmeb-989	231	14	iowa	iowa	PROPN
ajbmeb-989	231	15	state	state	PROPN
ajbmeb-989	231	16	university	university	PROPN
ajbmeb-989	231	17	nsf/	nsf/	PROPN
ajbmeb-989	231	18	ili	ili	PROPN
ajbmeb-989	231	19	10	10	NUM
ajbmeb-989	231	20	.	.	PUNCT
ajbmeb-989	232	1	cowan	cowan	PROPN
ajbmeb-989	232	2	,	,	PUNCT
ajbmeb-989	232	3	r.	r.	PROPN
ajbmeb-989	232	4	(	(	PUNCT
ajbmeb-989	232	5	1994	1994	NUM
ajbmeb-989	232	6	)	)	PUNCT
ajbmeb-989	232	7	.	.	PUNCT
ajbmeb-989	233	1	technological	technological	ADJ
ajbmeb-989	233	2	forecasting	forecasting	NOUN
ajbmeb-989	233	3	and	and	CCONJ
ajbmeb-989	233	4	social	social	ADJ
ajbmeb-989	233	5	change	change	NOUN
ajbmeb-989	233	6	.	.	PUNCT
ajbmeb-989	234	1	journal	journal	ADJ
ajbmeb-989	234	2	technological	technological	ADJ
ajbmeb-989	234	3	forecasting	forecasting	NOUN
ajbmeb-989	234	4	and	and	CCONJ
ajbmeb-989	234	5	social	social	ADJ
ajbmeb-989	234	6	change	change	NOUN
ajbmeb-989	234	7	,	,	PUNCT
ajbmeb-989	234	8	47	47	NUM
ajbmeb-989	234	9	,	,	PUNCT
ajbmeb-989	234	10	89	89	NUM
ajbmeb-989	234	11	-	-	SYM
ajbmeb-989	234	12	102	102	NUM
ajbmeb-989	234	13	.	.	PUNCT
ajbmeb-989	234	14	11	11	NUM
ajbmeb-989	234	15	.	.	X
ajbmeb-989	235	1	davalo	davalo	PROPN
ajbmeb-989	235	2	,	,	PUNCT
ajbmeb-989	235	3	e.	e.	PROPN
ajbmeb-989	235	4	&	&	CCONJ
ajbmeb-989	235	5	naim	naim	PROPN
ajbmeb-989	235	6	,	,	PUNCT
ajbmeb-989	235	7	p.	p.	NOUN
ajbmeb-989	235	8	(	(	PUNCT
ajbmeb-989	235	9	1991	1991	NUM
ajbmeb-989	235	10	)	)	PUNCT
ajbmeb-989	235	11	.	.	PUNCT
ajbmeb-989	236	1	neural	neural	ADJ
ajbmeb-989	236	2	networks	network	NOUN
ajbmeb-989	236	3	.	.	PUNCT
ajbmeb-989	237	1	macmillan	macmillan	PROPN
ajbmeb-989	237	2	,	,	PUNCT
ajbmeb-989	237	3	hong	hong	PROPN
ajbmeb-989	237	4	kong	kong	PROPN
ajbmeb-989	237	5	.	.	PUNCT
ajbmeb-989	238	1	12	12	NUM
ajbmeb-989	238	2	.	.	PUNCT
ajbmeb-989	239	1	dessens	dessen	NOUN
ajbmeb-989	239	2	,	,	PUNCT
ajbmeb-989	239	3	j.	j.	PROPN
ajbmeb-989	239	4	,	,	PUNCT
ajbmeb-989	239	5	&	&	CCONJ
ajbmeb-989	239	6	janson	janson	PROPN
ajbmeb-989	239	7	,	,	PUNCT
ajbmeb-989	239	8	w.	w.	PROPN
ajbmeb-989	239	9	(	(	PUNCT
ajbmeb-989	239	10	2005	2005	NUM
ajbmeb-989	239	11	)	)	PUNCT
ajbmeb-989	239	12	.	.	PUNCT
ajbmeb-989	240	1	logistic	logistic	ADJ
ajbmeb-989	240	2	regression	regression	NOUN
ajbmeb-989	240	3	analysis	analysis	NOUN
ajbmeb-989	240	4	.	.	PUNCT
ajbmeb-989	241	1	new	new	ADJ
ajbmeb-989	241	2	:	:	PUNCT
ajbmeb-989	241	3	york	york	PROPN
ajbmeb-989	241	4	wiley	wiley	PROPN
ajbmeb-989	241	5	.	.	PUNCT
ajbmeb-989	242	1	13	13	NUM
ajbmeb-989	242	2	.	.	X
ajbmeb-989	242	3	garson	garson	PROPN
ajbmeb-989	242	4	,	,	PUNCT
ajbmeb-989	242	5	g.	g.	PROPN
ajbmeb-989	242	6	d.	d.	PROPN
ajbmeb-989	242	7	(	(	PUNCT
ajbmeb-989	242	8	2013	2013	NUM
ajbmeb-989	242	9	)	)	PUNCT
ajbmeb-989	242	10	.	.	PUNCT
ajbmeb-989	243	1	hierarchical	hierarchical	ADJ
ajbmeb-989	243	2	linear	linear	PROPN
ajbmeb-989	243	3	modeling	modeling	NOUN
ajbmeb-989	243	4	:	:	PUNCT
ajbmeb-989	243	5	guide	guide	NOUN
ajbmeb-989	243	6	and	and	CCONJ
ajbmeb-989	243	7	applications	application	NOUN
ajbmeb-989	243	8	.	.	PUNCT
ajbmeb-989	244	1	sage	sage	NOUN
ajbmeb-989	244	2	.	.	PUNCT
ajbmeb-989	245	1	14	14	NUM
ajbmeb-989	245	2	.	.	PUNCT
ajbmeb-989	246	1	ghanem	ghanem	PROPN
ajbmeb-989	246	2	,	,	PUNCT
ajbmeb-989	246	3	a.	a.	NOUN
ajbmeb-989	246	4	m.	m.	PROPN
ajbmeb-989	246	5	&	&	CCONJ
ajbmeb-989	246	6	al	al	PROPN
ajbmeb-989	246	7	-	-	PUNCT
ajbmeb-989	246	8	jaouni	jaouni	PROPN
ajbmeb-989	246	9	,	,	PUNCT
ajbmeb-989	246	10	f.	f.	PROPN
ajbmeb-989	246	11	k.	k.	PROPN
ajbmeb-989	246	12	(	(	PUNCT
ajbmeb-989	246	13	2011	2011	NUM
ajbmeb-989	246	14	)	)	PUNCT
ajbmeb-989	246	15	.	.	PUNCT
ajbmeb-989	247	1	the	the	DET
ajbmeb-989	247	2	use	use	NOUN
ajbmeb-989	247	3	of	of	ADP
ajbmeb-989	247	4	the	the	DET
ajbmeb-989	247	5	two	two	NUM
ajbmeb-989	247	6	-	-	PUNCT
ajbmeb-989	247	7	response	response	NOUN
ajbmeb-989	247	8	logistic	logistic	ADJ
ajbmeb-989	247	9	regression	regression	NOUN
ajbmeb-989	247	10	technique	technique	NOUN
ajbmeb-989	247	11	in	in	ADP
ajbmeb-989	247	12	studying	study	VERB
ajbmeb-989	247	13	the	the	DET
ajbmeb-989	247	14	most	most	ADV
ajbmeb-989	247	15	important	important	ADJ
ajbmeb-989	247	16	economic	economic	ADJ
ajbmeb-989	247	17	and	and	CCONJ
ajbmeb-989	247	18	social	social	ADJ
ajbmeb-989	247	19	determinants	determinant	NOUN
ajbmeb-989	247	20	of	of	ADP
ajbmeb-989	247	21	family	family	NOUN
ajbmeb-989	247	22	income	income	NOUN
ajbmeb-989	247	23	adequacy	adequacy	NOUN
ajbmeb-989	247	24	,	,	PUNCT
ajbmeb-989	247	25	an	an	DET
ajbmeb-989	247	26	applied	apply	VERB
ajbmeb-989	247	27	study	study	NOUN
ajbmeb-989	247	28	on	on	ADP
ajbmeb-989	247	29	a	a	DET
ajbmeb-989	247	30	random	random	ADJ
ajbmeb-989	247	31	sample	sample	NOUN
ajbmeb-989	247	32	of	of	ADP
ajbmeb-989	247	33	families	family	NOUN
ajbmeb-989	247	34	in	in	ADP
ajbmeb-989	247	35	damascus	damascus	PROPN
ajbmeb-989	247	36	governorate	governorate	PROPN
ajbmeb-989	247	37	.	.	PUNCT
ajbmeb-989	248	1	damascus	damascus	PROPN
ajbmeb-989	248	2	journal	journal	PROPN
ajbmeb-989	248	3	of	of	ADP
ajbmeb-989	248	4	economic	economic	ADJ
ajbmeb-989	248	5	and	and	CCONJ
ajbmeb-989	248	6	legal	legal	ADJ
ajbmeb-989	248	7	sciences	science	NOUN
ajbmeb-989	248	8	,	,	PUNCT
ajbmeb-989	248	9	27(1	27(1	NUM
ajbmeb-989	248	10	)	)	PUNCT
ajbmeb-989	248	11	,	,	PUNCT
ajbmeb-989	248	12	113	113	NUM
ajbmeb-989	248	13	–	–	SYM
ajbmeb-989	248	14	132	132	NUM
ajbmeb-989	248	15	15	15	NUM
ajbmeb-989	248	16	.	.	PUNCT
ajbmeb-989	249	1	jarrah	jarrah	PROPN
ajbmeb-989	249	2	,	,	PUNCT
ajbmeb-989	249	3	r.	r.	PROPN
ajbmeb-989	249	4	a.	a.	PROPN
ajbmeb-989	249	5	(	(	PUNCT
ajbmeb-989	249	6	2003	2003	NUM
ajbmeb-989	249	7	)	)	PUNCT
ajbmeb-989	249	8	.	.	PUNCT
ajbmeb-989	250	1	principal	principal	ADJ
ajbmeb-989	250	2	component	component	NOUN
ajbmeb-989	250	3	analysis	analysis	NOUN
ajbmeb-989	250	4	using	use	VERB
ajbmeb-989	250	5	artificial	artificial	ADJ
ajbmeb-989	250	6	neural	neural	ADJ
ajbmeb-989	250	7	networks	network	NOUN
ajbmeb-989	250	8	with	with	ADP
ajbmeb-989	250	9	application	application	NOUN
ajbmeb-989	250	10	to	to	ADP
ajbmeb-989	250	11	breast	breast	NOUN
ajbmeb-989	250	12	cancer	cancer	NOUN
ajbmeb-989	250	13	patients	patient	NOUN
ajbmeb-989	250	14	.	.	PUNCT
ajbmeb-989	251	1	(	(	PUNCT
ajbmeb-989	251	2	unpublished	unpublished	ADJ
ajbmeb-989	251	3	phd	phd	NOUN
ajbmeb-989	251	4	thesis	thesis	NOUN
ajbmeb-989	251	5	)	)	PUNCT
ajbmeb-989	251	6	.	.	PUNCT
ajbmeb-989	252	1	iraq	iraq	PROPN
ajbmeb-989	252	2	,	,	PUNCT
ajbmeb-989	252	3	university	university	PROPN
ajbmeb-989	252	4	of	of	ADP
ajbmeb-989	252	5	mosul	mosul	PROPN
ajbmeb-989	252	6	.	.	PUNCT
ajbmeb-989	253	1	16	16	NUM
ajbmeb-989	253	2	.	.	PUNCT
ajbmeb-989	254	1	johnson	johnson	PROPN
ajbmeb-989	254	2	,	,	PUNCT
ajbmeb-989	254	3	r.	r.	PROPN
ajbmeb-989	254	4	w.	w.	PROPN
ajbmeb-989	254	5	(	(	PUNCT
ajbmeb-989	254	6	1998	1998	NUM
ajbmeb-989	254	7	)	)	PUNCT
ajbmeb-989	254	8	.	.	PUNCT
ajbmeb-989	255	1	statistical	statistical	ADJ
ajbmeb-989	255	2	analysis	analysis	NOUN
ajbmeb-989	255	3	of	of	ADP
ajbmeb-989	255	4	multiple	multiple	ADJ
ajbmeb-989	255	5	variables	variable	NOUN
ajbmeb-989	255	6	from	from	ADP
ajbmeb-989	255	7	an	an	DET
ajbmeb-989	255	8	applied	apply	VERB
ajbmeb-989	255	9	point	point	NOUN
ajbmeb-989	255	10	of	of	ADP
ajbmeb-989	255	11	view	view	NOUN
ajbmeb-989	255	12	.	.	PUNCT
ajbmeb-989	256	1	king	king	PROPN
ajbmeb-989	256	2	saud	saud	PROPN
ajbmeb-989	256	3	university	university	PROPN
ajbmeb-989	256	4	.	.	PUNCT
ajbmeb-989	257	1	17	17	NUM
ajbmeb-989	257	2	.	.	PUNCT
ajbmeb-989	257	3	maiprasert	maiprasert	PROPN
ajbmeb-989	257	4	,	,	PUNCT
ajbmeb-989	257	5	d.	d.	PROPN
ajbmeb-989	257	6	&	&	CCONJ
ajbmeb-989	257	7	kitbumrungrat	kitbumrungrat	PROPN
ajbmeb-989	257	8	,	,	PUNCT
ajbmeb-989	257	9	k.	k.	PROPN
ajbmeb-989	257	10	(	(	PUNCT
ajbmeb-989	257	11	2012	2012	NUM
ajbmeb-989	257	12	)	)	PUNCT
ajbmeb-989	257	13	.	.	PUNCT
ajbmeb-989	258	1	comparison	comparison	NOUN
ajbmeb-989	258	2	logistic	logistic	ADJ
ajbmeb-989	258	3	regression	regression	NOUN
ajbmeb-989	258	4	and	and	CCONJ
ajbmeb-989	258	5	discriminant	discriminant	ADJ
ajbmeb-989	258	6	analysis	analysis	NOUN
ajbmeb-989	258	7	in	in	ADP
ajbmeb-989	258	8	classification	classification	NOUN
ajbmeb-989	258	9	groups	group	NOUN
ajbmeb-989	258	10	for	for	ADP
ajbmeb-989	258	11	breast	breast	NOUN
ajbmeb-989	258	12	cancer	cancer	NOUN
ajbmeb-989	258	13	.	.	PUNCT
ajbmeb-989	259	1	international	international	ADJ
ajbmeb-989	259	2	journal	journal	PROPN
ajbmeb-989	259	3	of	of	ADP
ajbmeb-989	259	4	computer	computer	NOUN
ajbmeb-989	259	5	science	science	NOUN
ajbmeb-989	259	6	and	and	CCONJ
ajbmeb-989	259	7	network	network	NOUN
ajbmeb-989	259	8	security	security	NOUN
ajbmeb-989	259	9	(	(	PUNCT
ajbmeb-989	259	10	ijcsns	ijcsns	NOUN
ajbmeb-989	259	11	)	)	PUNCT
ajbmeb-989	259	12	,	,	PUNCT
ajbmeb-989	259	13	12(5	12(5	NUM
ajbmeb-989	259	14	)	)	PUNCT
ajbmeb-989	259	15	,	,	PUNCT
ajbmeb-989	259	16	44	44	NUM
ajbmeb-989	259	17	-	-	SYM
ajbmeb-989	259	18	52	52	NUM
ajbmeb-989	259	19	18	18	NUM
ajbmeb-989	259	20	.	.	PUNCT
ajbmeb-989	260	1	mirdas	mirda	NOUN
ajbmeb-989	260	2	,	,	PUNCT
ajbmeb-989	260	3	m.	m.	NOUN
ajbmeb-989	260	4	a.	a.	NOUN
ajbmeb-989	260	5	(	(	PUNCT
ajbmeb-989	260	6	2023	2023	NUM
ajbmeb-989	260	7	)	)	PUNCT
ajbmeb-989	260	8	.	.	PUNCT
ajbmeb-989	261	1	a	a	DET
ajbmeb-989	261	2	comparison	comparison	NOUN
ajbmeb-989	261	3	between	between	ADP
ajbmeb-989	261	4	the	the	DET
ajbmeb-989	261	5	parametric	parametric	ADJ
ajbmeb-989	261	6	and	and	CCONJ
ajbmeb-989	261	7	non	non	ADJ
ajbmeb-989	261	8	-	-	ADJ
ajbmeb-989	261	9	parametric	parametric	ADJ
ajbmeb-989	261	10	methods	method	NOUN
ajbmeb-989	261	11	using	use	VERB
ajbmeb-989	261	12	multiple	multiple	ADJ
ajbmeb-989	261	13	logistic	logistic	ADJ
ajbmeb-989	261	14	regression	regression	NOUN
ajbmeb-989	261	15	with	with	ADP
ajbmeb-989	261	16	a	a	DET
ajbmeb-989	261	17	practical	practical	ADJ
ajbmeb-989	261	18	application	application	NOUN
ajbmeb-989	261	19	(	(	PUNCT
ajbmeb-989	261	20	unpublished	unpublished	ADJ
ajbmeb-989	261	21	master	master	NOUN
ajbmeb-989	261	22	's	's	PART
ajbmeb-989	261	23	thesis	thesis	NOUN
ajbmeb-989	261	24	)	)	PUNCT
ajbmeb-989	261	25	.	.	PUNCT
ajbmeb-989	262	1	iraq	iraq	PROPN
ajbmeb-989	262	2	:	:	PUNCT
ajbmeb-989	262	3	wasit	wasit	PROPN
ajbmeb-989	262	4	university	university	PROPN
ajbmeb-989	262	5	.	.	PUNCT
ajbmeb-989	263	1	19	19	NUM
ajbmeb-989	263	2	.	.	PUNCT
ajbmeb-989	264	1	newbold	newbold	PROPN
ajbmeb-989	264	2	,	,	PUNCT
ajbmeb-989	264	3	p.	p.	NOUN
ajbmeb-989	264	4	(	(	PUNCT
ajbmeb-989	264	5	1974	1974	NUM
ajbmeb-989	264	6	)	)	PUNCT
ajbmeb-989	264	7	.	.	PUNCT
ajbmeb-989	265	1	the	the	DET
ajbmeb-989	265	2	exact	exact	ADJ
ajbmeb-989	265	3	likelihood	likelihood	NOUN
ajbmeb-989	265	4	function	function	NOUN
ajbmeb-989	265	5	for	for	ADP
ajbmeb-989	265	6	a	a	DET
ajbmeb-989	265	7	mixed	mixed	ADJ
ajbmeb-989	265	8	autoregressive	autoregressive	ADJ
ajbmeb-989	265	9	-	-	PUNCT
ajbmeb-989	265	10	moving	move	VERB
ajbmeb-989	265	11	average	average	ADJ
ajbmeb-989	265	12	process	process	NOUN
ajbmeb-989	265	13	.	.	PUNCT
ajbmeb-989	266	1	biometrika	biometrika	NOUN
ajbmeb-989	266	2	,	,	PUNCT
ajbmeb-989	266	3	61(3	61(3	NUM
ajbmeb-989	266	4	)	)	PUNCT
ajbmeb-989	266	5	,	,	PUNCT
ajbmeb-989	266	6	423	423	NUM
ajbmeb-989	266	7	-	-	SYM
ajbmeb-989	266	8	426	426	NUM
ajbmeb-989	266	9	.	.	NOUN
ajbmeb-989	266	10	20	20	NUM
ajbmeb-989	266	11	.	.	PUNCT
ajbmeb-989	267	1	omar	omar	PROPN
ajbmeb-989	267	2	,	,	PUNCT
ajbmeb-989	267	3	m.	m.	NOUN
ajbmeb-989	267	4	m.	m.	PROPN
ajbmeb-989	267	5	a.(1999	a.(1999	PROPN
ajbmeb-989	267	6	)	)	PUNCT
ajbmeb-989	267	7	.	.	PUNCT
ajbmeb-989	268	1	artificial	artificial	ADJ
ajbmeb-989	268	2	neural	neural	ADJ
ajbmeb-989	268	3	networks	network	NOUN
ajbmeb-989	268	4	:	:	PUNCT
ajbmeb-989	268	5	a	a	DET
ajbmeb-989	268	6	comparative	comparative	ADJ
ajbmeb-989	268	7	study	study	NOUN
ajbmeb-989	268	8	,	,	PUNCT
ajbmeb-989	268	9	(	(	PUNCT
ajbmeb-989	268	10	higher	high	ADJ
ajbmeb-989	268	11	diploma	diploma	NOUN
ajbmeb-989	268	12	thesis	thesis	NOUN
ajbmeb-989	268	13	)	)	PUNCT
ajbmeb-989	268	14	.	.	PUNCT
ajbmeb-989	269	1	the	the	DET
ajbmeb-989	269	2	national	national	ADJ
ajbmeb-989	269	3	center	center	NOUN
ajbmeb-989	269	4	for	for	ADP
ajbmeb-989	269	5	computing	computing	NOUN
ajbmeb-989	269	6	and	and	CCONJ
ajbmeb-989	269	7	informatics	informatic	NOUN
ajbmeb-989	269	8	.	.	PUNCT
ajbmeb-989	270	1	21	21	NUM
ajbmeb-989	270	2	.	.	X
ajbmeb-989	270	3	rao	rao	PROPN
ajbmeb-989	270	4	,	,	PUNCT
ajbmeb-989	270	5	v.	v.	PROPN
ajbmeb-989	270	6	b.	b.	PROPN
ajbmeb-989	270	7	,	,	PUNCT
ajbmeb-989	270	8	&	&	CCONJ
ajbmeb-989	270	9	raao	raao	PROPN
ajbmeb-989	270	10	,	,	PUNCT
ajbmeb-989	270	11	h.	h.	PROPN
ajbmeb-989	270	12	v.	v.	PROPN
ajbmeb-989	270	13	(	(	PUNCT
ajbmeb-989	270	14	1993	1993	NUM
ajbmeb-989	270	15	)	)	PUNCT
ajbmeb-989	270	16	.	.	PUNCT
ajbmeb-989	271	1	c++	c++	VERB
ajbmeb-989	271	2	neural	neural	ADJ
ajbmeb-989	271	3	network	network	NOUN
ajbmeb-989	271	4	and	and	CCONJ
ajbmeb-989	271	5	fuzzy	fuzzy	ADJ
ajbmeb-989	271	6	logic	logic	NOUN
ajbmeb-989	271	7	,	,	PUNCT
ajbmeb-989	271	8	management	management	NOUN
ajbmeb-989	271	9	information	information	NOUN
ajbmeb-989	271	10	.	.	PUNCT
ajbmeb-989	272	1	inc	inc	PROPN
ajbmeb-989	272	2	.	.	PROPN
ajbmeb-989	272	3	,	,	PUNCT
ajbmeb-989	272	4	new	new	PROPN
ajbmeb-989	272	5	york	york	PROPN
ajbmeb-989	272	6	,	,	PUNCT
ajbmeb-989	272	7	ny	ny	PROPN
ajbmeb-989	272	8	,	,	PUNCT
ajbmeb-989	272	9	408	408	NUM
ajbmeb-989	272	10	.	.	PUNCT
ajbmeb-989	273	1	22	22	NUM
ajbmeb-989	273	2	.	.	PUNCT
ajbmeb-989	274	1	stergiou	stergiou	PROPN
ajbmeb-989	274	2	,	,	PUNCT
ajbmeb-989	274	3	c.	c.	PROPN
ajbmeb-989	274	4	&	&	CCONJ
ajbmeb-989	274	5	siganos	siganos	PROPN
ajbmeb-989	274	6	,	,	PUNCT
ajbmeb-989	274	7	d.	d.	PROPN
ajbmeb-989	274	8	(	(	PUNCT
ajbmeb-989	274	9	2006	2006	NUM
ajbmeb-989	274	10	)	)	PUNCT
ajbmeb-989	274	11	.	.	PUNCT
ajbmeb-989	275	1	neural	neural	ADJ
ajbmeb-989	275	2	networks	network	NOUN
ajbmeb-989	275	3	.	.	PUNCT
ajbmeb-989	276	1	surveys	survey	NOUN
ajbmeb-989	276	2	and	and	CCONJ
ajbmeb-989	276	3	presentations	presentation	NOUN
ajbmeb-989	276	4	in	in	ADP
ajbmeb-989	276	5	information	information	NOUN
ajbmeb-989	276	6	systems	system	NOUN
ajbmeb-989	276	7	engineering	engineering	NOUN
ajbmeb-989	276	8	.	.	PUNCT
ajbmeb-989	277	1	surprise	surprise	PROPN
ajbmeb-989	277	2	96	96	NUM
ajbmeb-989	277	3	journal	journal	NOUN
ajbmeb-989	277	4	.	.	PUNCT
ajbmeb-989	278	1	23	23	NUM
ajbmeb-989	278	2	.	.	PUNCT
ajbmeb-989	279	1	the	the	DET
ajbmeb-989	279	2	arabic	arabic	ADJ
ajbmeb-989	279	3	encyclopedia	encyclopedia	NOUN
ajbmeb-989	279	4	for	for	ADP
ajbmeb-989	279	5	computer	computer	NOUN
ajbmeb-989	279	6	and	and	CCONJ
ajbmeb-989	279	7	the	the	DET
ajbmeb-989	279	8	internet	internet	NOUN
ajbmeb-989	279	9	.	.	PUNCT
ajbmeb-989	280	1	(	(	PUNCT
ajbmeb-989	280	2	2004).neural	2004).neural	ADJ
ajbmeb-989	280	3	networks	network	NOUN
ajbmeb-989	280	4	,	,	PUNCT
ajbmeb-989	280	5	retrieved	retrieve	VERB
ajbmeb-989	280	6	from	from	ADP
ajbmeb-989	280	7	:	:	PUNCT
ajbmeb-989	280	8	http://www.c4arab.com.mejhar.php	http://www.c4arab.com.mejhar.php	PROPN
ajbmeb-989	280	9	http://www.c4arab.com.mejhar.php/	http://www.c4arab.com.mejhar.php/	PROPN
ajbmeb-989	280	10	american	american	ADJ
ajbmeb-989	280	11	journal	journal	PROPN
ajbmeb-989	280	12	of	of	ADP
ajbmeb-989	280	13	business	business	NOUN
ajbmeb-989	280	14	management	management	NOUN
ajbmeb-989	280	15	,	,	PUNCT
ajbmeb-989	280	16	economics	economic	NOUN
ajbmeb-989	280	17	and	and	CCONJ
ajbmeb-989	280	18	banking	banking	NOUN
ajbmeb-989	280	19	volume	volume	NOUN
ajbmeb-989	280	20	13	13	NUM
ajbmeb-989	280	21	june	june	PROPN
ajbmeb-989	280	22	,	,	PUNCT
ajbmeb-989	280	23	2023	2023	NUM
ajbmeb-989	280	24	p	p	NOUN
ajbmeb-989	280	25	a	a	DET
ajbmeb-989	280	26	g	g	NOUN
ajbmeb-989	280	27	e	e	NOUN
ajbmeb-989	280	28	|	|	NOUN
ajbmeb-989	280	29	88	88	NUM
ajbmeb-989	280	30	www.americanjournal.org	www.americanjournal.org	NOUN
ajbmeb-989	280	31	24	24	NUM
ajbmeb-989	280	32	.	.	PUNCT
ajbmeb-989	281	1	timm	timm	PROPN
ajbmeb-989	281	2	,	,	PUNCT
ajbmeb-989	281	3	n.	n.	PROPN
ajbmeb-989	281	4	h.	h.	PROPN
ajbmeb-989	281	5	(	(	PUNCT
ajbmeb-989	281	6	ed	ed	NOUN
ajbmeb-989	281	7	.	.	PUNCT
ajbmeb-989	281	8	)	)	PUNCT
ajbmeb-989	281	9	.	.	PUNCT
ajbmeb-989	282	1	(	(	PUNCT
ajbmeb-989	282	2	2002	2002	NUM
ajbmeb-989	282	3	)	)	PUNCT
ajbmeb-989	282	4	.	.	PUNCT
ajbmeb-989	283	1	applied	apply	VERB
ajbmeb-989	283	2	multivariate	multivariate	NOUN
ajbmeb-989	283	3	analysis	analysis	NOUN
ajbmeb-989	283	4	.	.	PUNCT
ajbmeb-989	284	1	new	new	PROPN
ajbmeb-989	284	2	york	york	PROPN
ajbmeb-989	284	3	,	,	PUNCT
ajbmeb-989	284	4	ny	ny	PROPN
ajbmeb-989	284	5	:	:	PUNCT
ajbmeb-989	284	6	springer	springer	NOUN
ajbmeb-989	284	7	25	25	NUM
ajbmeb-989	284	8	.	.	PUNCT
ajbmeb-989	285	1	wasserman	wasserman	PROPN
ajbmeb-989	285	2	,	,	PUNCT
ajbmeb-989	285	3	p.	p.	PROPN
ajbmeb-989	285	4	d.	d.	PROPN
ajbmeb-989	285	5	(	(	PUNCT
ajbmeb-989	285	6	1989	1989	NUM
ajbmeb-989	285	7	)	)	PUNCT
ajbmeb-989	285	8	.	.	PUNCT
ajbmeb-989	286	1	neural	neural	ADJ
ajbmeb-989	286	2	computing	computing	NOUN
ajbmeb-989	286	3	:	:	PUNCT
ajbmeb-989	286	4	theory	theory	NOUN
ajbmeb-989	286	5	and	and	CCONJ
ajbmeb-989	286	6	practice	practice	NOUN
ajbmeb-989	286	7	.	.	PUNCT
ajbmeb-989	287	1	van	van	PROPN
ajbmeb-989	287	2	nostrand	nostrand	PROPN
ajbmeb-989	287	3	reinhold	reinhold	PROPN
ajbmeb-989	287	4	co.	co.	PROPN
ajbmeb-989	287	5	26	26	NUM
ajbmeb-989	287	6	.	.	PUNCT
ajbmeb-989	288	1	zelen	zelen	PROPN
ajbmeb-989	288	2	,	,	PUNCT
ajbmeb-989	288	3	m.	m.	NOUN
ajbmeb-989	288	4	(	(	PUNCT
ajbmeb-989	288	5	1983	1983	NUM
ajbmeb-989	288	6	)	)	PUNCT
ajbmeb-989	288	7	.	.	PUNCT
ajbmeb-989	289	1	biostatistical	biostatistical	ADJ
ajbmeb-989	289	2	science	science	NOUN
ajbmeb-989	289	3	as	as	ADP
ajbmeb-989	289	4	a	a	DET
ajbmeb-989	289	5	discipline	discipline	NOUN
ajbmeb-989	289	6	:	:	PUNCT
ajbmeb-989	289	7	a	a	DET
ajbmeb-989	289	8	look	look	NOUN
ajbmeb-989	289	9	into	into	ADP
ajbmeb-989	289	10	the	the	DET
ajbmeb-989	289	11	future	future	NOUN
ajbmeb-989	289	12	.	.	PUNCT
ajbmeb-989	290	1	biometrics	biometric	NOUN
ajbmeb-989	290	2	39	39	NUM
ajbmeb-989	290	3	827837	827837	NUM
ajbmeb-989	290	4	.	.	PUNCT
ajbmeb-989	291	1	27	27	NUM
ajbmeb-989	291	2	.	.	X
ajbmeb-989	292	1	zurada	zurada	PROPN
ajbmeb-989	292	2	,	,	PUNCT
ajbmeb-989	292	3	j.	j.	PROPN
ajbmeb-989	292	4	m.	m.	PROPN
ajbmeb-989	292	5	(	(	PUNCT
ajbmeb-989	292	6	1960	1960	NUM
ajbmeb-989	292	7	)	)	PUNCT
ajbmeb-989	292	8	.	.	PUNCT
ajbmeb-989	293	1	introduction	introduction	NOUN
ajbmeb-989	293	2	to	to	ADP
ajbmeb-989	293	3	artificial	artificial	ADJ
ajbmeb-989	293	4	neural	neural	ADJ
ajbmeb-989	293	5	system	system	NOUN
ajbmeb-989	293	6	.	.	PUNCT
ajbmeb-989	294	1	jaico	jaico	PROPN
ajbmeb-989	294	2	publishing	publishing	PROPN
ajbmeb-989	294	3	house	house	PROPN
ajbmeb-989	294	4	.	.	PUNCT
ajbmeb-989	295	1	28	28	NUM
ajbmeb-989	295	2	.	.	X
ajbmeb-989	296	1	zurada	zurada	PROPN
ajbmeb-989	296	2	.	.	PUNCT
ajbmeb-989	297	1	(	(	PUNCT
ajbmeb-989	297	2	1997	1997	NUM
ajbmeb-989	297	3	)	)	PUNCT
ajbmeb-989	297	4	.	.	PUNCT
ajbmeb-989	298	1	introduction	introduction	NOUN
ajbmeb-989	298	2	to	to	ADP
ajbmeb-989	298	3	artificial	artificial	ADJ
ajbmeb-989	298	4	neural	neural	ADJ
ajbmeb-989	298	5	network	network	NOUN
ajbmeb-989	298	6	.	.	PUNCT
ajbmeb-989	299	1	jaico	jaico	PROPN
ajbmeb-989	299	2	publishing	publishing	PROPN
ajbmeb-989	299	3	house	house	PROPN
ajbmeb-989	299	4	.	.	PUNCT
ajbmeb-989	300	1	appendix	appendix	VERB
ajbmeb-989	300	2	leukemia	leukemia	NOUN
ajbmeb-989	300	3	patient	patient	NOUN
ajbmeb-989	300	4	data	datum	NOUN
ajbmeb-989	300	5	no	no	INTJ
ajbmeb-989	300	6	.	.	PUNCT
ajbmeb-989	301	1	cml	cml	PROPN
ajbmeb-989	301	2	weight	weight	PROPN
ajbmeb-989	301	3	plt	plt	NOUN
ajbmeb-989	301	4	(	(	PUNCT
ajbmeb-989	301	5	bme	bme	NOUN
ajbmeb-989	301	6	)	)	PUNCT
ajbmeb-989	301	7	no	no	NOUN
ajbmeb-989	301	8	.	.	PUNCT
ajbmeb-989	302	1	cml	cml	PROPN
ajbmeb-989	302	2	weight	weight	PROPN
ajbmeb-989	302	3	plt	plt	NOUN
ajbmeb-989	302	4	(	(	PUNCT
ajbmeb-989	302	5	bme	bme	NOUN
ajbmeb-989	302	6	)	)	PUNCT
ajbmeb-989	302	7	1	1	NUM
ajbmeb-989	302	8	1	1	NUM
ajbmeb-989	302	9	53	53	NUM
ajbmeb-989	302	10	147	147	NUM
ajbmeb-989	302	11	0.03	0.03	NUM
ajbmeb-989	302	12	76	76	NUM
ajbmeb-989	302	13	1	1	NUM
ajbmeb-989	302	14	66	66	NUM
ajbmeb-989	302	15	331	331	NUM
ajbmeb-989	302	16	0.03	0.03	NUM
ajbmeb-989	302	17	2	2	NUM
ajbmeb-989	302	18	1	1	NUM
ajbmeb-989	302	19	60	60	NUM
ajbmeb-989	302	20	139	139	NUM
ajbmeb-989	302	21	0.01	0.01	NUM
ajbmeb-989	302	22	77	77	NUM
ajbmeb-989	302	23	1	1	NUM
ajbmeb-989	302	24	68	68	NUM
ajbmeb-989	302	25	213	213	NUM
ajbmeb-989	302	26	0.02	0.02	NUM
ajbmeb-989	302	27	3	3	NUM
ajbmeb-989	302	28	2	2	NUM
ajbmeb-989	302	29	52	52	NUM
ajbmeb-989	302	30	311	311	NUM
ajbmeb-989	302	31	0.09	0.09	NUM
ajbmeb-989	302	32	78	78	NUM
ajbmeb-989	302	33	3	3	NUM
ajbmeb-989	302	34	63	63	NUM
ajbmeb-989	302	35	194	194	NUM
ajbmeb-989	302	36	0.24	0.24	NUM
ajbmeb-989	302	37	4	4	NUM
ajbmeb-989	302	38	1	1	NUM
ajbmeb-989	302	39	51	51	NUM
ajbmeb-989	302	40	130	130	NUM
ajbmeb-989	302	41	0.04	0.04	NUM
ajbmeb-989	302	42	79	79	NUM
ajbmeb-989	302	43	2	2	NUM
ajbmeb-989	302	44	61	61	NUM
ajbmeb-989	302	45	217	217	NUM
ajbmeb-989	302	46	0.18	0.18	NUM
ajbmeb-989	302	47	5	5	NUM
ajbmeb-989	302	48	1	1	NUM
ajbmeb-989	302	49	61	61	NUM
ajbmeb-989	302	50	186	186	NUM
ajbmeb-989	302	51	0.03	0.03	NUM
ajbmeb-989	302	52	80	80	NUM
ajbmeb-989	302	53	1	1	NUM
ajbmeb-989	302	54	63	63	NUM
ajbmeb-989	302	55	251	251	NUM
ajbmeb-989	302	56	0.02	0.02	NUM
ajbmeb-989	302	57	6	6	NUM
ajbmeb-989	302	58	2	2	NUM
ajbmeb-989	302	59	63	63	NUM
ajbmeb-989	302	60	194	194	NUM
ajbmeb-989	302	61	0.18	0.18	NUM
ajbmeb-989	302	62	81	81	NUM
ajbmeb-989	302	63	1	1	NUM
ajbmeb-989	302	64	63	63	NUM
ajbmeb-989	302	65	217	217	NUM
ajbmeb-989	302	66	0.03	0.03	NUM
ajbmeb-989	302	67	7	7	NUM
ajbmeb-989	302	68	3	3	NUM
ajbmeb-989	302	69	70	70	NUM
ajbmeb-989	302	70	315	315	NUM
ajbmeb-989	302	71	0.24	0.24	NUM
ajbmeb-989	302	72	82	82	NUM
ajbmeb-989	302	73	1	1	NUM
ajbmeb-989	302	74	66	66	NUM
ajbmeb-989	302	75	321	321	NUM
ajbmeb-989	302	76	0.04	0.04	NUM
ajbmeb-989	302	77	8	8	NUM
ajbmeb-989	302	78	1	1	NUM
ajbmeb-989	302	79	57	57	NUM
ajbmeb-989	302	80	215	215	NUM
ajbmeb-989	302	81	0.03	0.03	NUM
ajbmeb-989	302	82	83	83	NUM
ajbmeb-989	302	83	3	3	NUM
ajbmeb-989	302	84	51	51	NUM
ajbmeb-989	302	85	312	312	NUM
ajbmeb-989	302	86	0.23	0.23	NUM
ajbmeb-989	302	87	9	9	NUM
ajbmeb-989	302	88	1	1	NUM
ajbmeb-989	302	89	55	55	NUM
ajbmeb-989	302	90	197	197	NUM
ajbmeb-989	302	91	0.04	0.04	NUM
ajbmeb-989	302	92	84	84	NUM
ajbmeb-989	302	93	1	1	NUM
ajbmeb-989	302	94	67	67	NUM
ajbmeb-989	302	95	215	215	NUM
ajbmeb-989	302	96	0.01	0.01	NUM
ajbmeb-989	302	97	10	10	NUM
ajbmeb-989	302	98	2	2	NUM
ajbmeb-989	302	99	57	57	NUM
ajbmeb-989	302	100	311	311	NUM
ajbmeb-989	302	101	0.14	0.14	NUM
ajbmeb-989	302	102	85	85	NUM
ajbmeb-989	302	103	1	1	NUM
ajbmeb-989	302	104	71	71	NUM
ajbmeb-989	302	105	314	314	NUM
ajbmeb-989	302	106	0.01	0.01	NUM
ajbmeb-989	302	107	11	11	NUM
ajbmeb-989	302	108	1	1	NUM
ajbmeb-989	302	109	63	63	NUM
ajbmeb-989	302	110	219	219	NUM
ajbmeb-989	302	111	0.03	0.03	NUM
ajbmeb-989	302	112	86	86	NUM
ajbmeb-989	302	113	1	1	NUM
ajbmeb-989	302	114	61	61	NUM
ajbmeb-989	302	115	215	215	NUM
ajbmeb-989	302	116	0.01	0.01	NUM
ajbmeb-989	302	117	12	12	NUM
ajbmeb-989	302	118	1	1	NUM
ajbmeb-989	302	119	67	67	NUM
ajbmeb-989	302	120	312	312	NUM
ajbmeb-989	302	121	0.04	0.04	NUM
ajbmeb-989	302	122	87	87	NUM
ajbmeb-989	302	123	1	1	NUM
ajbmeb-989	302	124	53	53	NUM
ajbmeb-989	302	125	313	313	NUM
ajbmeb-989	302	126	0.02	0.02	NUM
ajbmeb-989	302	127	13	13	NUM
ajbmeb-989	302	128	1	1	NUM
ajbmeb-989	302	129	71	71	NUM
ajbmeb-989	302	130	221	221	NUM
ajbmeb-989	302	131	0.02	0.02	NUM
ajbmeb-989	302	132	88	88	NUM
ajbmeb-989	302	133	2	2	NUM
ajbmeb-989	302	134	62	62	NUM
ajbmeb-989	302	135	211	211	NUM
ajbmeb-989	302	136	0.09	0.09	NUM
ajbmeb-989	302	137	14	14	NUM
ajbmeb-989	302	138	3	3	NUM
ajbmeb-989	302	139	59	59	NUM
ajbmeb-989	302	140	332	332	NUM
ajbmeb-989	302	141	0.25	0.25	NUM
ajbmeb-989	302	142	89	89	NUM
ajbmeb-989	302	143	1	1	NUM
ajbmeb-989	302	144	63	63	NUM
ajbmeb-989	302	145	281	281	NUM
ajbmeb-989	302	146	0.04	0.04	NUM
ajbmeb-989	302	147	15	15	NUM
ajbmeb-989	302	148	1	1	NUM
ajbmeb-989	302	149	61	61	NUM
ajbmeb-989	302	150	212	212	NUM
ajbmeb-989	302	151	0.03	0.03	NUM
ajbmeb-989	302	152	90	90	NUM
ajbmeb-989	302	153	1	1	NUM
ajbmeb-989	302	154	67	67	NUM
ajbmeb-989	302	155	223	223	NUM
ajbmeb-989	302	156	0.04	0.04	NUM
ajbmeb-989	302	157	16	16	NUM
ajbmeb-989	302	158	1	1	NUM
ajbmeb-989	302	159	66	66	NUM
ajbmeb-989	302	160	211	211	NUM
ajbmeb-989	302	161	0.04	0.04	NUM
ajbmeb-989	302	162	91	91	NUM
ajbmeb-989	302	163	1	1	NUM
ajbmeb-989	302	164	71	71	NUM
ajbmeb-989	302	165	277	277	NUM
ajbmeb-989	302	166	0.03	0.03	NUM
ajbmeb-989	302	167	17	17	NUM
ajbmeb-989	302	168	1	1	NUM
ajbmeb-989	302	169	70	70	NUM
ajbmeb-989	302	170	311	311	NUM
ajbmeb-989	302	171	0.02	0.02	NUM
ajbmeb-989	302	172	92	92	NUM
ajbmeb-989	302	173	1	1	NUM
ajbmeb-989	302	174	61	61	NUM
ajbmeb-989	302	175	217	217	NUM
ajbmeb-989	302	176	0.04	0.04	NUM
ajbmeb-989	302	177	18	18	NUM
ajbmeb-989	302	178	1	1	NUM
ajbmeb-989	302	179	68	68	NUM
ajbmeb-989	302	180	286	286	NUM
ajbmeb-989	302	181	0.01	0.01	NUM
ajbmeb-989	302	182	93	93	NUM
ajbmeb-989	302	183	2	2	NUM
ajbmeb-989	302	184	59	59	NUM
ajbmeb-989	302	185	319	319	NUM
ajbmeb-989	302	186	0.14	0.14	NUM
ajbmeb-989	302	187	19	19	NUM
ajbmeb-989	302	188	1	1	NUM
ajbmeb-989	302	189	65	65	NUM
ajbmeb-989	302	190	147	147	NUM
ajbmeb-989	302	191	0.02	0.02	NUM
ajbmeb-989	302	192	94	94	NUM
ajbmeb-989	302	193	1	1	NUM
ajbmeb-989	302	194	52	52	NUM
ajbmeb-989	302	195	271	271	NUM
ajbmeb-989	302	196	0.03	0.03	NUM
ajbmeb-989	302	197	20	20	NUM
ajbmeb-989	302	198	2	2	NUM
ajbmeb-989	302	199	61	61	NUM
ajbmeb-989	302	200	137	137	NUM
ajbmeb-989	302	201	0.17	0.17	NUM
ajbmeb-989	302	202	95	95	NUM
ajbmeb-989	302	203	1	1	NUM
ajbmeb-989	302	204	51	51	NUM
ajbmeb-989	302	205	233	233	NUM
ajbmeb-989	302	206	0.04	0.04	NUM
ajbmeb-989	302	207	21	21	NUM
ajbmeb-989	302	208	3	3	NUM
ajbmeb-989	302	209	67	67	NUM
ajbmeb-989	302	210	360	360	NUM
ajbmeb-989	302	211	0.25	0.25	NUM
ajbmeb-989	302	212	96	96	NUM
ajbmeb-989	302	213	3	3	NUM
ajbmeb-989	302	214	53	53	NUM
ajbmeb-989	302	215	247	247	NUM
ajbmeb-989	302	216	0.23	0.23	NUM
ajbmeb-989	302	217	22	22	NUM
ajbmeb-989	302	218	1	1	NUM
ajbmeb-989	302	219	60	60	NUM
ajbmeb-989	302	220	294	294	NUM
ajbmeb-989	302	221	0.03	0.03	NUM
ajbmeb-989	302	222	97	97	NUM
ajbmeb-989	302	223	1	1	NUM
ajbmeb-989	302	224	71	71	NUM
ajbmeb-989	302	225	313	313	NUM
ajbmeb-989	302	226	0.01	0.01	NUM
ajbmeb-989	302	227	23	23	NUM
ajbmeb-989	302	228	1	1	NUM
ajbmeb-989	302	229	70	70	NUM
ajbmeb-989	302	230	148	148	NUM
ajbmeb-989	302	231	0.01	0.01	NUM
ajbmeb-989	302	232	98	98	NUM
ajbmeb-989	302	233	1	1	NUM
ajbmeb-989	302	234	68	68	NUM
ajbmeb-989	302	235	306	306	NUM
ajbmeb-989	302	236	0.03	0.03	NUM
ajbmeb-989	302	237	24	24	NUM
ajbmeb-989	302	238	1	1	NUM
ajbmeb-989	302	239	65	65	NUM
ajbmeb-989	302	240	393	393	NUM
ajbmeb-989	302	241	0.04	0.04	NUM
ajbmeb-989	302	242	99	99	NUM
ajbmeb-989	302	243	1	1	NUM
ajbmeb-989	302	244	65	65	NUM
ajbmeb-989	302	245	217	217	NUM
ajbmeb-989	302	246	0.02	0.02	NUM
ajbmeb-989	302	247	25	25	NUM
ajbmeb-989	302	248	3	3	NUM
ajbmeb-989	302	249	70	70	NUM
ajbmeb-989	302	250	325	325	NUM
ajbmeb-989	302	251	0.23	0.23	NUM
ajbmeb-989	302	252	100	100	NUM
ajbmeb-989	302	253	2	2	NUM
ajbmeb-989	302	254	53	53	NUM
ajbmeb-989	302	255	333	333	NUM
ajbmeb-989	302	256	0.18	0.18	NUM
ajbmeb-989	302	257	26	26	NUM
ajbmeb-989	302	258	2	2	NUM
ajbmeb-989	302	259	75	75	NUM
ajbmeb-989	302	260	312	312	NUM
ajbmeb-989	302	261	0.18	0.18	NUM
ajbmeb-989	302	262	101	101	NUM
ajbmeb-989	302	263	1	1	NUM
ajbmeb-989	302	264	71	71	NUM
ajbmeb-989	302	265	193	193	NUM
ajbmeb-989	302	266	0.01	0.01	NUM
ajbmeb-989	302	267	27	27	NUM
ajbmeb-989	302	268	2	2	NUM
ajbmeb-989	302	269	63	63	NUM
ajbmeb-989	302	270	330	330	NUM
ajbmeb-989	302	271	0.09	0.09	NUM
ajbmeb-989	302	272	102	102	NUM
ajbmeb-989	302	273	1	1	NUM
ajbmeb-989	302	274	66	66	NUM
ajbmeb-989	302	275	268	268	NUM
ajbmeb-989	302	276	0.04	0.04	NUM
ajbmeb-989	302	277	28	28	NUM
ajbmeb-989	302	278	1	1	NUM
ajbmeb-989	302	279	65	65	NUM
ajbmeb-989	302	280	314	314	NUM
ajbmeb-989	302	281	0.01	0.01	NUM
ajbmeb-989	302	282	103	103	NUM
ajbmeb-989	302	283	1	1	NUM
ajbmeb-989	302	284	75	75	NUM
ajbmeb-989	302	285	256	256	NUM
ajbmeb-989	302	286	0.03	0.03	NUM
ajbmeb-989	302	287	29	29	NUM
ajbmeb-989	302	288	1	1	NUM
ajbmeb-989	302	289	60	60	NUM
ajbmeb-989	302	290	299	299	NUM
ajbmeb-989	302	291	0.03	0.03	NUM
ajbmeb-989	302	292	104	104	NUM
ajbmeb-989	302	293	3	3	NUM
ajbmeb-989	302	294	53	53	NUM
ajbmeb-989	302	295	321	321	NUM
ajbmeb-989	302	296	0.24	0.24	NUM
ajbmeb-989	302	297	30	30	NUM
ajbmeb-989	302	298	1	1	NUM
ajbmeb-989	302	299	61	61	NUM
ajbmeb-989	302	300	260	260	NUM
ajbmeb-989	302	301	0.01	0.01	NUM
ajbmeb-989	302	302	105	105	NUM
ajbmeb-989	302	303	1	1	NUM
ajbmeb-989	302	304	72	72	NUM
ajbmeb-989	302	305	222	222	NUM
ajbmeb-989	302	306	0.04	0.04	NUM
ajbmeb-989	302	307	31	31	NUM
ajbmeb-989	302	308	1	1	NUM
ajbmeb-989	302	309	52	52	NUM
ajbmeb-989	302	310	321	321	NUM
ajbmeb-989	302	311	0.02	0.02	NUM
ajbmeb-989	302	312	106	106	NUM
ajbmeb-989	302	313	1	1	NUM
ajbmeb-989	302	314	59	59	NUM
ajbmeb-989	302	315	187	187	NUM
ajbmeb-989	302	316	0.03	0.03	NUM
ajbmeb-989	302	317	32	32	NUM
ajbmeb-989	302	318	1	1	NUM
ajbmeb-989	302	319	50	50	NUM
ajbmeb-989	302	320	360	360	NUM
ajbmeb-989	302	321	0.03	0.03	NUM
ajbmeb-989	302	322	107	107	NUM
ajbmeb-989	302	323	1	1	NUM
ajbmeb-989	302	324	73	73	NUM
ajbmeb-989	302	325	212	212	NUM
ajbmeb-989	302	326	0.01	0.01	NUM
ajbmeb-989	302	327	33	33	NUM
ajbmeb-989	302	328	1	1	NUM
ajbmeb-989	302	329	61	61	NUM
ajbmeb-989	302	330	315	315	NUM
ajbmeb-989	302	331	0.04	0.04	NUM
ajbmeb-989	302	332	108	108	NUM
ajbmeb-989	302	333	1	1	NUM
ajbmeb-989	302	334	68	68	NUM
ajbmeb-989	302	335	325	325	NUM
ajbmeb-989	302	336	0.02	0.02	NUM
ajbmeb-989	302	337	34	34	NUM
ajbmeb-989	302	338	1	1	NUM
ajbmeb-989	302	339	66	66	NUM
ajbmeb-989	302	340	217	217	NUM
ajbmeb-989	302	341	0.01	0.01	NUM
ajbmeb-989	302	342	109	109	NUM
ajbmeb-989	302	343	1	1	NUM
ajbmeb-989	302	344	63	63	NUM
ajbmeb-989	302	345	198	198	NUM
ajbmeb-989	302	346	0.03	0.03	NUM
ajbmeb-989	302	347	american	american	ADJ
ajbmeb-989	302	348	journal	journal	PROPN
ajbmeb-989	302	349	of	of	ADP
ajbmeb-989	302	350	business	business	NOUN
ajbmeb-989	302	351	management	management	NOUN
ajbmeb-989	302	352	,	,	PUNCT
ajbmeb-989	302	353	economics	economic	NOUN
ajbmeb-989	302	354	and	and	CCONJ
ajbmeb-989	302	355	banking	banking	NOUN
ajbmeb-989	302	356	volume	volume	NOUN
ajbmeb-989	302	357	13	13	NUM
ajbmeb-989	302	358	june	june	PROPN
ajbmeb-989	302	359	,	,	PUNCT
ajbmeb-989	302	360	2023	2023	NUM
ajbmeb-989	302	361	p	p	NOUN
ajbmeb-989	302	362	a	a	DET
ajbmeb-989	302	363	g	g	NOUN
ajbmeb-989	302	364	e	e	PROPN
ajbmeb-989	302	365	|	|	ADV
ajbmeb-989	302	366	89	89	NUM
ajbmeb-989	302	367	www.americanjournal.org	www.americanjournal.org	NOUN
ajbmeb-989	302	368	35	35	NUM
ajbmeb-989	302	369	1	1	NUM
ajbmeb-989	302	370	52	52	NUM
ajbmeb-989	302	371	314	314	NUM
ajbmeb-989	302	372	0.02	0.02	NUM
ajbmeb-989	302	373	110	110	NUM
ajbmeb-989	302	374	1	1	NUM
ajbmeb-989	302	375	59	59	NUM
ajbmeb-989	302	376	219	219	NUM
ajbmeb-989	302	377	0.04	0.04	NUM
ajbmeb-989	302	378	36	36	NUM
ajbmeb-989	302	379	1	1	NUM
ajbmeb-989	302	380	60	60	NUM
ajbmeb-989	302	381	187	187	NUM
ajbmeb-989	302	382	0.03	0.03	NUM
ajbmeb-989	302	383	111	111	NUM
ajbmeb-989	302	384	2	2	NUM
ajbmeb-989	302	385	52	52	NUM
ajbmeb-989	302	386	227	227	NUM
ajbmeb-989	302	387	0.12	0.12	NUM
ajbmeb-989	302	388	37	37	NUM
ajbmeb-989	302	389	2	2	NUM
ajbmeb-989	302	390	61	61	NUM
ajbmeb-989	302	391	220	220	NUM
ajbmeb-989	302	392	0.11	0.11	NUM
ajbmeb-989	302	393	112	112	NUM
ajbmeb-989	302	394	1	1	NUM
ajbmeb-989	302	395	57	57	NUM
ajbmeb-989	302	396	300	300	NUM
ajbmeb-989	302	397	0.04	0.04	NUM
ajbmeb-989	302	398	38	38	NUM
ajbmeb-989	302	399	1	1	NUM
ajbmeb-989	302	400	58	58	NUM
ajbmeb-989	302	401	265	265	NUM
ajbmeb-989	302	402	0.01	0.01	NUM
ajbmeb-989	302	403	113	113	NUM
ajbmeb-989	302	404	1	1	NUM
ajbmeb-989	302	405	50	50	NUM
ajbmeb-989	302	406	311	311	NUM
ajbmeb-989	302	407	0.01	0.01	NUM
ajbmeb-989	302	408	39	39	NUM
ajbmeb-989	302	409	1	1	NUM
ajbmeb-989	302	410	66	66	NUM
ajbmeb-989	302	411	255	255	NUM
ajbmeb-989	302	412	0.01	0.01	NUM
ajbmeb-989	302	413	114	114	NUM
ajbmeb-989	302	414	1	1	NUM
ajbmeb-989	302	415	49	49	NUM
ajbmeb-989	302	416	343	343	NUM
ajbmeb-989	302	417	0.03	0.03	NUM
ajbmeb-989	302	418	40	40	NUM
ajbmeb-989	302	419	1	1	NUM
ajbmeb-989	302	420	52	52	NUM
ajbmeb-989	302	421	255	255	NUM
ajbmeb-989	302	422	0.01	0.01	NUM
ajbmeb-989	302	423	115	115	NUM
ajbmeb-989	302	424	3	3	NUM
ajbmeb-989	302	425	51	51	NUM
ajbmeb-989	302	426	288	288	NUM
ajbmeb-989	302	427	0.23	0.23	NUM
ajbmeb-989	302	428	41	41	NUM
ajbmeb-989	302	429	3	3	NUM
ajbmeb-989	302	430	62	62	NUM
ajbmeb-989	302	431	315	315	NUM
ajbmeb-989	302	432	0.22	0.22	NUM
ajbmeb-989	302	433	116	116	NUM
ajbmeb-989	302	434	1	1	NUM
ajbmeb-989	302	435	63	63	NUM
ajbmeb-989	302	436	216	216	NUM
ajbmeb-989	302	437	0.03	0.03	NUM
ajbmeb-989	302	438	42	42	NUM
ajbmeb-989	302	439	1	1	NUM
ajbmeb-989	302	440	51	51	NUM
ajbmeb-989	302	441	180	180	NUM
ajbmeb-989	302	442	0.01	0.01	NUM
ajbmeb-989	302	443	117	117	NUM
ajbmeb-989	302	444	1	1	NUM
ajbmeb-989	302	445	67	67	NUM
ajbmeb-989	302	446	325	325	NUM
ajbmeb-989	302	447	0.01	0.01	NUM
ajbmeb-989	302	448	43	43	NUM
ajbmeb-989	302	449	1	1	NUM
ajbmeb-989	302	450	61	61	NUM
ajbmeb-989	302	451	257	257	NUM
ajbmeb-989	302	452	0.02	0.02	NUM
ajbmeb-989	302	453	118	118	NUM
ajbmeb-989	302	454	1	1	NUM
ajbmeb-989	302	455	73	73	NUM
ajbmeb-989	302	456	213	213	NUM
ajbmeb-989	302	457	0.03	0.03	NUM
ajbmeb-989	302	458	44	44	NUM
ajbmeb-989	302	459	1	1	NUM
ajbmeb-989	302	460	65	65	NUM
ajbmeb-989	302	461	251	251	NUM
ajbmeb-989	302	462	0.03	0.03	NUM
ajbmeb-989	302	463	119	119	NUM
ajbmeb-989	302	464	1	1	NUM
ajbmeb-989	302	465	64	64	NUM
ajbmeb-989	302	466	313	313	NUM
ajbmeb-989	302	467	0.02	0.02	NUM
ajbmeb-989	302	468	45	45	NUM
ajbmeb-989	302	469	2	2	NUM
ajbmeb-989	302	470	70	70	NUM
ajbmeb-989	302	471	341	341	NUM
ajbmeb-989	302	472	0.13	0.13	NUM
ajbmeb-989	302	473	120	120	NUM
ajbmeb-989	302	474	2	2	NUM
ajbmeb-989	302	475	51	51	NUM
ajbmeb-989	302	476	279	279	NUM
ajbmeb-989	302	477	0.15	0.15	NUM
ajbmeb-989	302	478	46	46	NUM
ajbmeb-989	302	479	1	1	NUM
ajbmeb-989	302	480	60	60	NUM
ajbmeb-989	302	481	266	266	NUM
ajbmeb-989	302	482	0.02	0.02	NUM
ajbmeb-989	302	483	121	121	NUM
ajbmeb-989	302	484	1	1	NUM
ajbmeb-989	302	485	67	67	NUM
ajbmeb-989	302	486	317	317	NUM
ajbmeb-989	302	487	0.04	0.04	NUM
ajbmeb-989	302	488	47	47	NUM
ajbmeb-989	302	489	1	1	NUM
ajbmeb-989	302	490	67	67	NUM
ajbmeb-989	302	491	317	317	NUM
ajbmeb-989	302	492	0.02	0.02	NUM
ajbmeb-989	302	493	122	122	NUM
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