id	sid	tid	token	lemma	pos
mkg-990	1	1	mkg	mkg	NOUN
mkg-990	1	2	vol	vol	NOUN
mkg-990	1	3	41	41	NUM
mkg-990	1	4	no	no	DET
mkg-990	1	5	4	4	NUM
mkg-990	1	6	oct	oct	NOUN
mkg-990	1	7	-	-	PUNCT
mkg-990	1	8	dec	dec	PROPN
mkg-990	1	9	2008.indd	2008.indd	NUM
mkg-990	1	10	190	190	NUM
mkg-990	1	11	vol	vol	NOUN
mkg-990	1	12	.	.	PUNCT
mkg-990	2	1	41	41	NUM
mkg-990	2	2	.	.	PUNCT
mkg-990	3	1	no	no	INTJ
mkg-990	3	2	.	.	NOUN
mkg-990	4	1	4	4	NUM
mkg-990	4	2	october	october	PROPN
mkg-990	4	3	–	–	PUNCT
mkg-990	4	4	december	december	PROPN
mkg-990	4	5	2008	2008	NUM
mkg-990	4	6	research	research	NOUN
mkg-990	4	7	report	report	NOUN
mkg-990	4	8	bootstrap	bootstrap	NOUN
mkg-990	4	9	study	study	NOUN
mkg-990	4	10	to	to	PART
mkg-990	4	11	estimate	estimate	VERB
mkg-990	4	12	linear	linear	ADJ
mkg-990	4	13	regression	regression	NOUN
mkg-990	4	14	parameter	parameter	NOUN
mkg-990	4	15	(	(	PUNCT
mkg-990	4	16	application	application	NOUN
mkg-990	4	17	in	in	ADP
mkg-990	4	18	the	the	DET
mkg-990	4	19	study	study	NOUN
mkg-990	4	20	on	on	ADP
mkg-990	4	21	the	the	DET
mkg-990	4	22	effect	effect	NOUN
mkg-990	4	23	of	of	ADP
mkg-990	4	24	oral	oral	ADJ
mkg-990	4	25	hygiene	hygiene	NOUN
mkg-990	4	26	on	on	ADP
mkg-990	4	27	dental	dental	ADJ
mkg-990	4	28	caries	carie	NOUN
mkg-990	4	29	)	)	PUNCT
mkg-990	4	30	ristya	ristya	PROPN
mkg-990	4	31	widi	widi	PROPN
mkg-990	4	32	endah	endah	PROPN
mkg-990	4	33	yani	yani	PROPN
mkg-990	4	34	department	department	PROPN
mkg-990	4	35	of	of	ADP
mkg-990	4	36	dental	dental	ADJ
mkg-990	4	37	public	public	ADJ
mkg-990	4	38	health	health	NOUN
mkg-990	4	39	faculty	faculty	NOUN
mkg-990	4	40	of	of	ADP
mkg-990	4	41	dentistry	dentistry	PROPN
mkg-990	4	42	jember	jember	PROPN
mkg-990	4	43	university	university	PROPN
mkg-990	4	44	jember	jember	PROPN
mkg-990	4	45	indonesia	indonesia	PROPN
mkg-990	4	46	abstract	abstract	PROPN
mkg-990	4	47	background	background	NOUN
mkg-990	4	48	:	:	PUNCT
mkg-990	4	49	bootstrap	bootstrap	NOUN
mkg-990	4	50	is	be	AUX
mkg-990	4	51	a	a	DET
mkg-990	4	52	computer	computer	NOUN
mkg-990	4	53	simulation	simulation	NOUN
mkg-990	4	54	-	-	PUNCT
mkg-990	4	55	based	base	VERB
mkg-990	4	56	method	method	NOUN
mkg-990	4	57	that	that	PRON
mkg-990	4	58	provides	provide	VERB
mkg-990	4	59	estimation	estimation	NOUN
mkg-990	4	60	accuracy	accuracy	NOUN
mkg-990	4	61	in	in	ADP
mkg-990	4	62	estimating	estimate	VERB
mkg-990	4	63	inferential	inferential	ADJ
mkg-990	4	64	statistical	statistical	ADJ
mkg-990	4	65	parameters	parameter	NOUN
mkg-990	4	66	.	.	PUNCT
mkg-990	5	1	purpose	purpose	NOUN
mkg-990	5	2	:	:	PUNCT
mkg-990	5	3	this	this	DET
mkg-990	5	4	article	article	NOUN
mkg-990	5	5	describes	describe	VERB
mkg-990	5	6	a	a	DET
mkg-990	5	7	research	research	NOUN
mkg-990	5	8	using	use	VERB
mkg-990	5	9	secondary	secondary	ADJ
mkg-990	5	10	data	datum	NOUN
mkg-990	5	11	(	(	PUNCT
mkg-990	5	12	n	n	NOUN
mkg-990	5	13	=	=	SYM
mkg-990	5	14	30	30	NUM
mkg-990	5	15	)	)	PUNCT
mkg-990	5	16	aimed	aim	VERB
mkg-990	5	17	to	to	PART
mkg-990	5	18	elucidate	elucidate	VERB
mkg-990	5	19	bootstrap	bootstrap	NOUN
mkg-990	5	20	method	method	NOUN
mkg-990	5	21	as	as	SCONJ
mkg-990	5	22	the	the	DET
mkg-990	5	23	estimator	estimator	NOUN
mkg-990	5	24	of	of	ADP
mkg-990	5	25	linear	linear	PROPN
mkg-990	5	26	regression	regression	NOUN
mkg-990	5	27	test	test	NOUN
mkg-990	5	28	based	base	VERB
mkg-990	5	29	on	on	ADP
mkg-990	5	30	the	the	DET
mkg-990	5	31	computer	computer	NOUN
mkg-990	5	32	programs	program	NOUN
mkg-990	5	33	minitab	minitab	PROPN
mkg-990	5	34	13	13	NUM
mkg-990	5	35	,	,	PUNCT
mkg-990	5	36	spss	spss	PROPN
mkg-990	5	37	13	13	NUM
mkg-990	5	38	,	,	PUNCT
mkg-990	5	39	and	and	CCONJ
mkg-990	5	40	macrominitab	macrominitab	NOUN
mkg-990	5	41	.	.	PUNCT
mkg-990	6	1	methods	method	NOUN
mkg-990	6	2	:	:	PUNCT
mkg-990	6	3	bootstrap	bootstrap	NOUN
mkg-990	6	4	regression	regression	NOUN
mkg-990	6	5	methods	method	NOUN
mkg-990	6	6	determine	determine	VERB
mkg-990	6	7	β̂	β̂	PUNCT
mkg-990	6	8	and	and	CCONJ
mkg-990	6	9	ŷ	ŷ	NUM
mkg-990	6	10	value	value	NOUN
mkg-990	6	11	from	from	ADP
mkg-990	6	12	ols	ol	NOUN
mkg-990	6	13	(	(	PUNCT
mkg-990	6	14	ordinary	ordinary	ADJ
mkg-990	6	15	least	least	ADJ
mkg-990	6	16	square	square	ADJ
mkg-990	6	17	)	)	PUNCT
mkg-990	6	18	,	,	PUNCT
mkg-990	6	19	iii	iii	X
mkg-990	6	20	yy	yy	PROPN
mkg-990	6	21	ˆ−=ε	ˆ−=ε	NOUN
mkg-990	6	22	value	value	NOUN
mkg-990	6	23	,	,	PUNCT
mkg-990	6	24	determine	determine	VERB
mkg-990	6	25	how	how	SCONJ
mkg-990	6	26	many	many	ADJ
mkg-990	6	27	repetition	repetition	NOUN
mkg-990	6	28	for	for	ADP
mkg-990	6	29	bootstrap	bootstrap	NOUN
mkg-990	6	30	(	(	PUNCT
mkg-990	6	31	b	b	NOUN
mkg-990	6	32	)	)	PUNCT
mkg-990	6	33	,	,	PUNCT
mkg-990	6	34	take	take	VERB
mkg-990	6	35	n	n	PRON
mkg-990	6	36	sample	sample	NOUN
mkg-990	6	37	by	by	ADP
mkg-990	6	38	replacement	replacement	NOUN
mkg-990	6	39	from	from	ADP
mkg-990	6	40	iε	iε	NOUN
mkg-990	6	41	to	to	ADP
mkg-990	6	42	)	)	PUNCT
mkg-990	6	43	(	(	PUNCT
mkg-990	6	44	iε	iε	NOUN
mkg-990	6	45	,	,	PUNCT
mkg-990	6	46	)	)	PUNCT
mkg-990	6	47	(	(	PUNCT
mkg-990	6	48	ˆ	ˆ	NOUN
mkg-990	6	49	iii	iii	VERB
mkg-990	6	50	yy	yy	NOUN
mkg-990	6	51	ε+=	ε+=	PROPN
mkg-990	6	52	value	value	NOUN
mkg-990	6	53	,	,	PUNCT
mkg-990	6	54	β̂	β̂	ADP
mkg-990	6	55	value	value	NOUN
mkg-990	6	56	from	from	ADP
mkg-990	6	57	sample	sample	NOUN
mkg-990	6	58	bootstrap	bootstrap	NOUN
mkg-990	6	59	at	at	ADP
mkg-990	6	60	i	i	PROPN
mkg-990	6	61	vector	vector	NOUN
mkg-990	6	62	.	.	PUNCT
mkg-990	7	1	if	if	SCONJ
mkg-990	7	2	the	the	DET
mkg-990	7	3	amount	amount	NOUN
mkg-990	7	4	of	of	ADP
mkg-990	7	5	repetition	repetition	NOUN
mkg-990	7	6	less	less	ADJ
mkg-990	7	7	than	than	ADP
mkg-990	7	8	,	,	PUNCT
mkg-990	7	9	b	b	PROPN
mkg-990	7	10	a	a	DET
mkg-990	7	11	recalculation	recalculation	NOUN
mkg-990	7	12	should	should	AUX
mkg-990	7	13	be	be	AUX
mkg-990	7	14	back	back	ADV
mkg-990	7	15	to	to	PART
mkg-990	7	16	take	take	VERB
mkg-990	7	17	n	n	PRON
mkg-990	7	18	sample	sample	NOUN
mkg-990	7	19	by	by	ADP
mkg-990	7	20	using	use	VERB
mkg-990	7	21	replacement	replacement	NOUN
mkg-990	7	22	from	from	ADP
mkg-990	7	23	iε	iε	PROPN
mkg-990	7	24	.	.	PUNCT
mkg-990	8	1	otherwise	otherwise	ADV
mkg-990	8	2	,	,	PUNCT
mkg-990	8	3	determine	determine	VERB
mkg-990	8	4	β̂	β̂	ADP
mkg-990	8	5	from	from	ADP
mkg-990	8	6	“	"	PUNCT
mkg-990	8	7	bootstrap	bootstrap	NOUN
mkg-990	8	8	”	"	PUNCT
mkg-990	8	9	methods	method	NOUN
mkg-990	8	10	as	as	ADP
mkg-990	8	11	the	the	DET
mkg-990	8	12	average	average	NOUN
mkg-990	8	13	β̂	β̂	ADP
mkg-990	8	14	value	value	NOUN
mkg-990	8	15	from	from	ADP
mkg-990	8	16	the	the	DET
mkg-990	8	17	result	result	NOUN
mkg-990	8	18	of	of	ADP
mkg-990	8	19	b	b	PROPN
mkg-990	8	20	times	time	NOUN
mkg-990	8	21	sample	sample	NOUN
mkg-990	8	22	taken	take	VERB
mkg-990	8	23	.	.	PUNCT
mkg-990	9	1	result	result	VERB
mkg-990	9	2	:	:	PUNCT
mkg-990	9	3	the	the	DET
mkg-990	9	4	result	result	NOUN
mkg-990	9	5	has	have	VERB
mkg-990	9	6	similar	similar	ADJ
mkg-990	9	7	result	result	NOUN
mkg-990	9	8	compared	compare	VERB
mkg-990	9	9	to	to	AUX
mkg-990	9	10	linear	linear	ADJ
mkg-990	9	11	regression	regression	NOUN
mkg-990	9	12	equation	equation	NOUN
mkg-990	9	13	with	with	ADP
mkg-990	9	14	ols	ol	NOUN
mkg-990	9	15	method	method	NOUN
mkg-990	9	16	(	(	PUNCT
mkg-990	9	17	α	α	NOUN
mkg-990	9	18	=	=	SYM
mkg-990	9	19	5	5	NUM
mkg-990	9	20	%	%	NOUN
mkg-990	9	21	)	)	PUNCT
mkg-990	9	22	.	.	PUNCT
mkg-990	10	1	the	the	DET
mkg-990	10	2	resulting	result	VERB
mkg-990	10	3	regression	regression	NOUN
mkg-990	10	4	equation	equation	NOUN
mkg-990	10	5	for	for	ADP
mkg-990	10	6	caries	carie	NOUN
mkg-990	10	7	was	be	AUX
mkg-990	10	8	=	=	PROPN
mkg-990	10	9	1.90	1.90	NUM
mkg-990	10	10	+	+	NUM
mkg-990	10	11	2.02	2.02	NUM
mkg-990	10	12	(	(	PUNCT
mkg-990	10	13	ohi	ohi	PROPN
mkg-990	10	14	-	-	PUNCT
mkg-990	10	15	s	s	NOUN
mkg-990	10	16	)	)	PUNCT
mkg-990	10	17	,	,	PUNCT
mkg-990	10	18	indicating	indicate	VERB
mkg-990	10	19	that	that	SCONJ
mkg-990	10	20	every	every	DET
mkg-990	10	21	one	one	NUM
mkg-990	10	22	increase	increase	NOUN
mkg-990	10	23	of	of	ADP
mkg-990	10	24	ohi	ohi	PROPN
mkg-990	10	25	-	-	PUNCT
mkg-990	10	26	s	s	PROPN
mkg-990	10	27	unit	unit	NOUN
mkg-990	10	28	will	will	AUX
mkg-990	10	29	result	result	VERB
mkg-990	10	30	in	in	ADP
mkg-990	10	31	caries	carie	NOUN
mkg-990	10	32	increase	increase	NOUN
mkg-990	10	33	of	of	ADP
mkg-990	10	34	2.02	2.02	NUM
mkg-990	10	35	units	unit	NOUN
mkg-990	10	36	.	.	PUNCT
mkg-990	11	1	conclusion	conclusion	NOUN
mkg-990	11	2	:	:	PUNCT
mkg-990	11	3	this	this	PRON
mkg-990	11	4	was	be	AUX
mkg-990	11	5	conducted	conduct	VERB
mkg-990	11	6	with	with	ADP
mkg-990	11	7	b	b	NOUN
mkg-990	11	8	as	as	ADV
mkg-990	11	9	many	many	ADJ
mkg-990	11	10	as	as	ADP
mkg-990	11	11	10,500	10,500	NUM
mkg-990	11	12	with	with	ADP
mkg-990	11	13	10	10	NUM
mkg-990	11	14	times	time	NOUN
mkg-990	11	15	iterations	iteration	NOUN
mkg-990	11	16	.	.	PUNCT
mkg-990	12	1	key	key	ADJ
mkg-990	12	2	words	word	NOUN
mkg-990	12	3	:	:	PUNCT
mkg-990	12	4	bootstrap	bootstrap	NOUN
mkg-990	12	5	,	,	PUNCT
mkg-990	12	6	caries	carie	NOUN
mkg-990	12	7	correspondence	correspondence	NOUN
mkg-990	12	8	:	:	PUNCT
mkg-990	12	9	ristya	ristya	PROPN
mkg-990	12	10	widi	widi	PROPN
mkg-990	12	11	endah	endah	PROPN
mkg-990	12	12	yani	yani	PROPN
mkg-990	12	13	,	,	PUNCT
mkg-990	12	14	c	c	X
mkg-990	12	15	/	/	SYM
mkg-990	12	16	o	o	NOUN
mkg-990	12	17	:	:	PUNCT
mkg-990	12	18	departemen	departeman	NOUN
mkg-990	12	19	ilmu	ilmu	PROPN
mkg-990	12	20	kedokteran	kedokteran	PROPN
mkg-990	12	21	gigi	gigi	PROPN
mkg-990	12	22	masyarakat	masyarakat	PROPN
mkg-990	12	23	dan	dan	PROPN
mkg-990	12	24	pencegahan	pencegahan	PROPN
mkg-990	12	25	,	,	PUNCT
mkg-990	12	26	fakultas	fakulta	VERB
mkg-990	12	27	kedokteran	kedokteran	PROPN
mkg-990	12	28	gigi	gigi	PROPN
mkg-990	12	29	universitas	universitas	PROPN
mkg-990	12	30	jember	jember	PROPN
mkg-990	12	31	.	.	PUNCT
mkg-990	13	1	jl	jl	PROPN
mkg-990	13	2	.	.	PROPN
mkg-990	14	1	kalimantan	kalimantan	PROPN
mkg-990	14	2	no.37	no.37	PROPN
mkg-990	14	3	jember	jember	PROPN
mkg-990	14	4	68121	68121	NUM
mkg-990	14	5	,	,	PUNCT
mkg-990	14	6	indonesia	indonesia	PROPN
mkg-990	14	7	.	.	PUNCT
mkg-990	15	1	telp	telp	NOUN
mkg-990	15	2	.	.	PUNCT
mkg-990	16	1	(	(	PUNCT
mkg-990	16	2	0331	0331	NUM
mkg-990	16	3	)	)	PUNCT
mkg-990	16	4	333536	333536	NUM
mkg-990	16	5	.	.	PUNCT
mkg-990	17	1	e	e	X
mkg-990	17	2	-	-	NOUN
mkg-990	17	3	mail	mail	NOUN
mkg-990	17	4	:	:	PUNCT
mkg-990	17	5	ristya-widi@yahoo.com	ristya-widi@yahoo.com	X
mkg-990	17	6	introduction	introduction	NOUN
mkg-990	17	7	bootstrap	bootstrap	NOUN
mkg-990	17	8	is	be	AUX
mkg-990	17	9	a	a	DET
mkg-990	17	10	computer	computer	NOUN
mkg-990	17	11	simulation	simulation	NOUN
mkg-990	17	12	-	-	PUNCT
mkg-990	17	13	based	base	VERB
mkg-990	17	14	method	method	NOUN
mkg-990	17	15	that	that	PRON
mkg-990	17	16	provides	provide	VERB
mkg-990	17	17	estimation	estimation	NOUN
mkg-990	17	18	accuracy	accuracy	NOUN
mkg-990	17	19	in	in	ADP
mkg-990	17	20	estimating	estimate	VERB
mkg-990	17	21	inferential	inferential	ADJ
mkg-990	17	22	statistical	statistical	ADJ
mkg-990	17	23	parameters	parameter	NOUN
mkg-990	17	24	.	.	PUNCT
mkg-990	18	1	to	to	PART
mkg-990	18	2	solve	solve	VERB
mkg-990	18	3	problems	problem	NOUN
mkg-990	18	4	in	in	ADP
mkg-990	18	5	insufficient	insufficient	ADJ
mkg-990	18	6	statistical	statistical	ADJ
mkg-990	18	7	samples	sample	NOUN
mkg-990	18	8	(	(	PUNCT
mkg-990	18	9	small	small	ADJ
mkg-990	18	10	number	number	NOUN
mkg-990	18	11	of	of	ADP
mkg-990	18	12	samples	sample	NOUN
mkg-990	18	13	)	)	PUNCT
mkg-990	18	14	,	,	PUNCT
mkg-990	18	15	computerbased	computerbase	VERB
mkg-990	18	16	method	method	NOUN
mkg-990	18	17	such	such	ADJ
mkg-990	18	18	as	as	ADP
mkg-990	18	19	bootstrap	bootstrap	NOUN
mkg-990	18	20	has	have	AUX
mkg-990	18	21	rarely	rarely	ADV
mkg-990	18	22	been	be	AUX
mkg-990	18	23	employed	employ	VERB
mkg-990	18	24	although	although	SCONJ
mkg-990	18	25	its	its	PRON
mkg-990	18	26	use	use	NOUN
mkg-990	18	27	is	be	AUX
mkg-990	18	28	quite	quite	ADV
mkg-990	18	29	simple.1	simple.1	ADP
mkg-990	18	30	the	the	DET
mkg-990	18	31	simplicity	simplicity	NOUN
mkg-990	18	32	of	of	ADP
mkg-990	18	33	application	application	NOUN
mkg-990	18	34	can	can	AUX
mkg-990	18	35	be	be	AUX
mkg-990	18	36	observed	observe	VERB
mkg-990	18	37	in	in	ADP
mkg-990	18	38	the	the	DET
mkg-990	18	39	use	use	NOUN
mkg-990	18	40	of	of	ADP
mkg-990	18	41	the	the	DET
mkg-990	18	42	media	medium	NOUN
mkg-990	18	43	and	and	CCONJ
mkg-990	18	44	more	more	ADV
mkg-990	18	45	advanced	advanced	ADJ
mkg-990	18	46	method	method	NOUN
mkg-990	18	47	,	,	PUNCT
mkg-990	18	48	which	which	PRON
mkg-990	18	49	is	be	AUX
mkg-990	18	50	an	an	DET
mkg-990	18	51	implementation	implementation	NOUN
mkg-990	18	52	of	of	ADP
mkg-990	18	53	the	the	DET
mkg-990	18	54	basic	basic	ADJ
mkg-990	18	55	concept	concept	NOUN
mkg-990	18	56	in	in	ADP
mkg-990	18	57	statistics	statistic	NOUN
mkg-990	18	58	.	.	PUNCT
mkg-990	19	1	being	be	AUX
mkg-990	19	2	computer	computer	NOUN
mkg-990	19	3	-	-	PUNCT
mkg-990	19	4	based	base	VERB
mkg-990	19	5	,	,	PUNCT
mkg-990	19	6	this	this	DET
mkg-990	19	7	method	method	NOUN
mkg-990	19	8	does	do	AUX
mkg-990	19	9	not	not	PART
mkg-990	19	10	use	use	VERB
mkg-990	19	11	classical	classical	ADJ
mkg-990	19	12	statistical	statistical	ADJ
mkg-990	19	13	method	method	NOUN
mkg-990	19	14	anymore	anymore	ADV
mkg-990	19	15	,	,	PUNCT
mkg-990	19	16	which	which	DET
mkg-990	19	17	application	application	NOUN
mkg-990	19	18	use	use	VERB
mkg-990	19	19	a	a	DET
mkg-990	19	20	relatively	relatively	ADV
mkg-990	19	21	complex	complex	ADJ
mkg-990	19	22	formulation.2	formulation.2	PROPN
mkg-990	19	23	multiple	multiple	ADJ
mkg-990	19	24	linear	linear	PROPN
mkg-990	19	25	regression	regression	NOUN
mkg-990	19	26	analysis	analysis	NOUN
mkg-990	19	27	is	be	AUX
mkg-990	19	28	an	an	DET
mkg-990	19	29	extension	extension	NOUN
mkg-990	19	30	of	of	ADP
mkg-990	19	31	simple	simple	ADJ
mkg-990	19	32	linear	linear	ADJ
mkg-990	19	33	regression	regression	NOUN
mkg-990	19	34	analysis	analysis	NOUN
mkg-990	19	35	.	.	PUNCT
mkg-990	20	1	simple	simple	ADJ
mkg-990	20	2	linear	linear	ADJ
mkg-990	20	3	regression	regression	NOUN
mkg-990	20	4	analysis	analysis	NOUN
mkg-990	20	5	of	of	ADP
mkg-990	20	6	two	two	NUM
mkg-990	20	7	variables	variable	NOUN
mkg-990	20	8	correlation	correlation	NOUN
mkg-990	20	9	analysis	analysis	NOUN
mkg-990	20	10	is	be	AUX
mkg-990	20	11	made	make	VERB
mkg-990	20	12	between	between	ADP
mkg-990	20	13	one	one	NUM
mkg-990	20	14	dependent	dependent	ADJ
mkg-990	20	15	variable	variable	NOUN
mkg-990	20	16	(	(	PUNCT
mkg-990	20	17	y	y	NOUN
mkg-990	20	18	)	)	PUNCT
mkg-990	20	19	and	and	CCONJ
mkg-990	20	20	one	one	NUM
mkg-990	20	21	independent	independent	ADJ
mkg-990	20	22	variable	variable	NOUN
mkg-990	20	23	(	(	PUNCT
mkg-990	20	24	x	x	NOUN
mkg-990	20	25	)	)	PUNCT
mkg-990	20	26	.	.	PUNCT
mkg-990	21	1	in	in	ADP
mkg-990	21	2	multiple	multiple	ADJ
mkg-990	21	3	linear	linear	ADJ
mkg-990	21	4	regression	regression	NOUN
mkg-990	21	5	analysis	analysis	NOUN
mkg-990	21	6	,	,	PUNCT
mkg-990	21	7	there	there	PRON
mkg-990	21	8	are	be	VERB
mkg-990	21	9	one	one	NUM
mkg-990	21	10	dependent	dependent	ADJ
mkg-990	21	11	variable	variable	NOUN
mkg-990	21	12	(	(	PUNCT
mkg-990	21	13	y	y	NOUN
mkg-990	21	14	)	)	PUNCT
mkg-990	21	15	and	and	CCONJ
mkg-990	21	16	more	more	ADJ
mkg-990	21	17	than	than	ADP
mkg-990	21	18	one	one	NUM
mkg-990	21	19	independent	independent	ADJ
mkg-990	21	20	variables	variable	NOUN
mkg-990	21	21	(	(	PUNCT
mkg-990	21	22	xi	xi	PROPN
mkg-990	21	23	)	)	PUNCT
mkg-990	21	24	,	,	PUNCT
mkg-990	21	25	in	in	ADP
mkg-990	21	26	which	which	PRON
mkg-990	21	27	i	i	PRON
mkg-990	21	28	=	=	NOUN
mkg-990	21	29	1	1	NUM
mkg-990	21	30	,	,	PUNCT
mkg-990	21	31	2	2	NUM
mkg-990	21	32	,	,	PUNCT
mkg-990	21	33	3	3	NUM
mkg-990	21	34	...	...	PUNCT
mkg-990	22	1	p	p	X
mkg-990	22	2	,	,	PUNCT
mkg-990	22	3	with	with	ADP
mkg-990	22	4	an	an	DET
mkg-990	22	5	aim	aim	NOUN
mkg-990	22	6	to	to	PART
mkg-990	22	7	predict	predict	VERB
mkg-990	22	8	y	y	PROPN
mkg-990	22	9	value	value	NOUN
mkg-990	22	10	(	(	PUNCT
mkg-990	22	11	dependent	dependent	ADJ
mkg-990	22	12	variable	variable	NOUN
mkg-990	22	13	)	)	PUNCT
mkg-990	22	14	based	base	VERB
mkg-990	22	15	on	on	ADP
mkg-990	22	16	x	x	PROPN
mkg-990	22	17	values	value	NOUN
mkg-990	22	18	(	(	PUNCT
mkg-990	22	19	independent	independent	ADJ
mkg-990	22	20	variables	variable	NOUN
mkg-990	22	21	)	)	PUNCT
mkg-990	22	22	.	.	PUNCT
mkg-990	23	1	the	the	DET
mkg-990	23	2	correlation	correlation	NOUN
mkg-990	23	3	between	between	ADP
mkg-990	23	4	one	one	NUM
mkg-990	23	5	independent	independent	ADJ
mkg-990	23	6	variable	variable	NOUN
mkg-990	23	7	and	and	CCONJ
mkg-990	23	8	one	one	NUM
mkg-990	23	9	dependent	dependent	ADJ
mkg-990	23	10	variable	variable	NOUN
mkg-990	23	11	is	be	AUX
mkg-990	23	12	discussed	discuss	VERB
mkg-990	23	13	in	in	ADP
mkg-990	23	14	simple	simple	ADJ
mkg-990	23	15	linear	linear	ADJ
mkg-990	23	16	regression	regression	NOUN
mkg-990	23	17	,	,	PUNCT
mkg-990	23	18	and	and	CCONJ
mkg-990	23	19	correlation	correlation	NOUN
mkg-990	23	20	between	between	ADP
mkg-990	23	21	more	more	ADJ
mkg-990	23	22	than	than	ADP
mkg-990	23	23	one	one	NUM
mkg-990	23	24	independent	independent	ADJ
mkg-990	23	25	variables	variable	NOUN
mkg-990	23	26	in	in	ADP
mkg-990	23	27	multiple	multiple	ADJ
mkg-990	23	28	linear	linear	ADJ
mkg-990	23	29	regression	regression	NOUN
mkg-990	23	30	analysis.3	analysis.3	VERB
mkg-990	23	31	as	as	ADP
mkg-990	23	32	an	an	DET
mkg-990	23	33	application	application	NOUN
mkg-990	23	34	in	in	ADP
mkg-990	23	35	this	this	DET
mkg-990	23	36	study	study	NOUN
mkg-990	23	37	,	,	PUNCT
mkg-990	23	38	we	we	PRON
mkg-990	23	39	used	use	VERB
mkg-990	23	40	data	datum	NOUN
mkg-990	23	41	on	on	ADP
mkg-990	23	42	the	the	DET
mkg-990	23	43	effect	effect	NOUN
mkg-990	23	44	of	of	ADP
mkg-990	23	45	oral	oral	ADJ
mkg-990	23	46	hygiene	hygiene	NOUN
mkg-990	23	47	on	on	ADP
mkg-990	23	48	dental	dental	ADJ
mkg-990	23	49	caries	carie	NOUN
mkg-990	23	50	.	.	PUNCT
mkg-990	24	1	the	the	DET
mkg-990	24	2	dependent	dependent	ADJ
mkg-990	24	3	variable	variable	NOUN
mkg-990	24	4	was	be	AUX
mkg-990	24	5	dental	dental	ADJ
mkg-990	24	6	caries	carie	NOUN
mkg-990	24	7	and	and	CCONJ
mkg-990	24	8	the	the	DET
mkg-990	24	9	independent	independent	ADJ
mkg-990	24	10	variable	variable	NOUN
mkg-990	24	11	was	be	AUX
mkg-990	24	12	oral	oral	ADJ
mkg-990	24	13	hygiene	hygiene	NOUN
mkg-990	24	14	.	.	PUNCT
mkg-990	25	1	the	the	DET
mkg-990	25	2	problem	problem	NOUN
mkg-990	25	3	of	of	ADP
mkg-990	25	4	this	this	DET
mkg-990	25	5	study	study	NOUN
mkg-990	25	6	addressed	address	VERB
mkg-990	25	7	the	the	DET
mkg-990	25	8	process	process	NOUN
mkg-990	25	9	of	of	ADP
mkg-990	25	10	bootstrap	bootstrap	NOUN
mkg-990	25	11	method	method	NOUN
mkg-990	25	12	application	application	NOUN
mkg-990	25	13	to	to	PART
mkg-990	25	14	assess	assess	VERB
mkg-990	25	15	linear	linear	PROPN
mkg-990	25	16	regression	regression	NOUN
mkg-990	25	17	parameter	parameter	NOUN
mkg-990	25	18	.	.	PUNCT
mkg-990	26	1	the	the	DET
mkg-990	26	2	objective	objective	NOUN
mkg-990	26	3	of	of	ADP
mkg-990	26	4	this	this	DET
mkg-990	26	5	study	study	NOUN
mkg-990	26	6	was	be	AUX
mkg-990	26	7	to	to	PART
mkg-990	26	8	evaluate	evaluate	VERB
mkg-990	26	9	bootstrap	bootstrap	NOUN
mkg-990	26	10	method	method	NOUN
mkg-990	26	11	as	as	ADP
mkg-990	26	12	an	an	DET
mkg-990	26	13	estimation	estimation	NOUN
mkg-990	26	14	of	of	ADP
mkg-990	26	15	191yani	191yani	PROPN
mkg-990	26	16	:	:	PUNCT
mkg-990	26	17	bootstrap	bootstrap	NOUN
mkg-990	26	18	study	study	NOUN
mkg-990	26	19	to	to	PART
mkg-990	26	20	estimate	estimate	VERB
mkg-990	26	21	linear	linear	ADJ
mkg-990	26	22	linear	linear	PROPN
mkg-990	26	23	regression	regression	NOUN
mkg-990	26	24	parameter	parameter	NOUN
mkg-990	26	25	.	.	PUNCT
mkg-990	27	1	the	the	DET
mkg-990	27	2	benefit	benefit	NOUN
mkg-990	27	3	of	of	ADP
mkg-990	27	4	this	this	DET
mkg-990	27	5	study	study	NOUN
mkg-990	27	6	was	be	AUX
mkg-990	27	7	to	to	PART
mkg-990	27	8	find	find	VERB
mkg-990	27	9	the	the	DET
mkg-990	27	10	solution	solution	NOUN
mkg-990	27	11	using	use	VERB
mkg-990	27	12	bootstrap	bootstrap	NOUN
mkg-990	27	13	method	method	NOUN
mkg-990	27	14	in	in	ADP
mkg-990	27	15	estimating	estimate	VERB
mkg-990	27	16	linear	linear	PROPN
mkg-990	27	17	regression	regression	NOUN
mkg-990	27	18	parameter	parameter	NOUN
mkg-990	27	19	.	.	PUNCT
mkg-990	28	1	materials	material	NOUN
mkg-990	28	2	and	and	CCONJ
mkg-990	28	3	methods	method	NOUN
mkg-990	28	4	the	the	DET
mkg-990	28	5	research	research	NOUN
mkg-990	28	6	using	use	VERB
mkg-990	28	7	secondary	secondary	ADJ
mkg-990	28	8	data,4	data,4	NOUN
mkg-990	28	9	with	with	ADP
mkg-990	28	10	independent	independent	ADJ
mkg-990	28	11	variable	variable	NOUN
mkg-990	28	12	(	(	PUNCT
mkg-990	28	13	oral	oral	ADJ
mkg-990	28	14	hygiene	hygiene	NOUN
mkg-990	28	15	)	)	PUNCT
mkg-990	28	16	and	and	CCONJ
mkg-990	28	17	dependent	dependent	ADJ
mkg-990	28	18	variable	variable	NOUN
mkg-990	28	19	(	(	PUNCT
mkg-990	28	20	dental	dental	ADJ
mkg-990	28	21	caries	carie	NOUN
mkg-990	28	22	)	)	PUNCT
mkg-990	28	23	.	.	PUNCT
mkg-990	29	1	data	datum	NOUN
mkg-990	29	2	source	source	NOUN
mkg-990	29	3	was	be	AUX
mkg-990	29	4	secondary	secondary	ADJ
mkg-990	29	5	data	datum	NOUN
mkg-990	29	6	entitled	entitle	VERB
mkg-990	29	7	“	"	PUNCT
mkg-990	29	8	permanent	permanent	ADJ
mkg-990	29	9	teeth	tooth	NOUN
mkg-990	29	10	eruption	eruption	NOUN
mkg-990	29	11	and	and	CCONJ
mkg-990	29	12	oral	oral	ADJ
mkg-990	29	13	hygiene	hygiene	NOUN
mkg-990	29	14	among	among	ADP
mkg-990	29	15	elementary	elementary	ADJ
mkg-990	29	16	school	school	NOUN
mkg-990	29	17	children	child	NOUN
mkg-990	29	18	in	in	ADP
mkg-990	29	19	goiter	goiter	NOUN
mkg-990	29	20	endemic	endemic	ADJ
mkg-990	29	21	area	area	NOUN
mkg-990	29	22	,	,	PUNCT
mkg-990	29	23	district	district	NOUN
mkg-990	29	24	of	of	ADP
mkg-990	29	25	jember”.5	jember”.5	PROPN
mkg-990	29	26	data	datum	NOUN
mkg-990	29	27	analysis	analysis	NOUN
mkg-990	29	28	was	be	AUX
mkg-990	29	29	undertaken	undertake	VERB
mkg-990	29	30	using	use	VERB
mkg-990	29	31	computer	computer	NOUN
mkg-990	29	32	(	(	PUNCT
mkg-990	29	33	minitab	minitab	PROPN
mkg-990	29	34	13	13	NUM
mkg-990	29	35	,	,	PUNCT
mkg-990	29	36	spss	spss	PROPN
mkg-990	29	37	13	13	NUM
mkg-990	29	38	,	,	PUNCT
mkg-990	29	39	macrominitab	macrominitab	NOUN
mkg-990	29	40	)	)	PUNCT
mkg-990	29	41	.	.	PUNCT
mkg-990	30	1	the	the	DET
mkg-990	30	2	algorithm	algorithm	NOUN
mkg-990	30	3	of	of	ADP
mkg-990	30	4	data	datum	NOUN
mkg-990	30	5	regression	regression	NOUN
mkg-990	30	6	method	method	NOUN
mkg-990	30	7	of	of	ADP
mkg-990	30	8	bootstrap	bootstrap	NOUN
mkg-990	30	9	result	result	NOUN
mkg-990	30	10	(	(	PUNCT
mkg-990	30	11	figure	figure	NOUN
mkg-990	30	12	1	1	NUM
mkg-990	30	13	)	)	PUNCT
mkg-990	30	14	.	.	PUNCT
mkg-990	31	1	this	this	DET
mkg-990	31	2	program	program	NOUN
mkg-990	31	3	begins	begin	VERB
mkg-990	31	4	to	to	PART
mkg-990	31	5	determine	determine	VERB
mkg-990	31	6	β̂	β̂	PUNCT
mkg-990	31	7	and	and	CCONJ
mkg-990	31	8	ŷ	ŷ	NUM
mkg-990	31	9	values	value	NOUN
mkg-990	31	10	from	from	ADP
mkg-990	31	11	ols	ols	PROPN
mkg-990	31	12	,	,	PUNCT
mkg-990	31	13	iii	iii	X
mkg-990	31	14	yy	yy	PROPN
mkg-990	31	15	ˆ−=ε	ˆ−=ε	NOUN
mkg-990	31	16	,	,	PUNCT
mkg-990	31	17	the	the	DET
mkg-990	31	18	number	number	NOUN
mkg-990	31	19	of	of	ADP
mkg-990	31	20	repetition	repetition	NOUN
mkg-990	31	21	bootstrap	bootstrap	NOUN
mkg-990	31	22	(	(	PUNCT
mkg-990	31	23	b	b	NOUN
mkg-990	31	24	)	)	PUNCT
mkg-990	31	25	,	,	PUNCT
mkg-990	31	26	then	then	ADV
mkg-990	31	27	taking	take	VERB
mkg-990	31	28	n	n	PRON
mkg-990	31	29	sample	sample	NOUN
mkg-990	31	30	from	from	ADP
mkg-990	31	31	the	the	DET
mkg-990	31	32	return	return	NOUN
mkg-990	31	33	of	of	ADP
mkg-990	31	34	iε	iε	PROPN
mkg-990	31	35	,	,	PUNCT
mkg-990	31	36	which	which	PRON
mkg-990	31	37	is	be	AUX
mkg-990	31	38	regarded	regard	VERB
mkg-990	31	39	as	as	ADP
mkg-990	31	40	)	)	PUNCT
mkg-990	31	41	(	(	PUNCT
mkg-990	31	42	iε	iε	NOUN
mkg-990	31	43	.	.	PUNCT
mkg-990	31	44	determine	determine	NOUN
mkg-990	31	45	)	)	PUNCT
mkg-990	31	46	(	(	PUNCT
mkg-990	31	47	ˆ	ˆ	NOUN
mkg-990	31	48	iii	iii	VERB
mkg-990	31	49	yy	yy	PROPN
mkg-990	31	50	ε+=	ε+=	PROPN
mkg-990	31	51	values	value	NOUN
mkg-990	31	52	,	,	PUNCT
mkg-990	31	53	and	and	CCONJ
mkg-990	31	54	then	then	ADV
mkg-990	31	55	determine	determine	VERB
mkg-990	31	56	β̂	β̂	ADP
mkg-990	31	57	values	value	NOUN
mkg-990	31	58	in	in	ADP
mkg-990	31	59	ith	ith	PROPN
mkg-990	31	60	sample	sample	NOUN
mkg-990	31	61	.	.	PUNCT
mkg-990	32	1	if	if	SCONJ
mkg-990	32	2	the	the	DET
mkg-990	32	3	number	number	NOUN
mkg-990	32	4	of	of	ADP
mkg-990	32	5	repetition	repetition	NOUN
mkg-990	32	6	bootstrap	bootstrap	NOUN
mkg-990	32	7	<	<	X
mkg-990	32	8	b	b	X
mkg-990	32	9	consequently	consequently	ADV
mkg-990	32	10	taking	take	VERB
mkg-990	32	11	n	n	PRON
mkg-990	32	12	sample	sample	NOUN
mkg-990	32	13	from	from	ADP
mkg-990	32	14	the	the	DET
mkg-990	32	15	return	return	NOUN
mkg-990	32	16	of	of	ADP
mkg-990	32	17	iε	iε	PROPN
mkg-990	32	18	,	,	PUNCT
mkg-990	32	19	which	which	PRON
mkg-990	32	20	is	be	AUX
mkg-990	32	21	regarded	regard	VERB
mkg-990	32	22	as	as	ADP
mkg-990	32	23	)	)	PUNCT
mkg-990	32	24	(	(	PUNCT
mkg-990	32	25	iε	iε	NOUN
mkg-990	32	26	.	.	PUNCT
mkg-990	33	1	if	if	SCONJ
mkg-990	33	2	the	the	DET
mkg-990	33	3	number	number	NOUN
mkg-990	33	4	of	of	ADP
mkg-990	33	5	repetition	repetition	NOUN
mkg-990	33	6	<	<	X
mkg-990	33	7	b	b	X
mkg-990	33	8	consequently	consequently	ADV
mkg-990	33	9	determining	determine	VERB
mkg-990	33	10	β̂	β̂	ADP
mkg-990	33	11	from	from	ADP
mkg-990	33	12	“	"	PUNCT
mkg-990	33	13	bootstrap	bootstrap	NOUN
mkg-990	33	14	”	"	PUNCT
mkg-990	33	15	method	method	NOUN
mkg-990	33	16	as	as	ADP
mkg-990	33	17	the	the	DET
mkg-990	33	18	average	average	NOUN
mkg-990	33	19	of	of	ADP
mkg-990	33	20	β̂	β̂	ADP
mkg-990	33	21	of	of	ADP
mkg-990	33	22	sample	sample	NOUN
mkg-990	33	23	taking	take	VERB
mkg-990	33	24	in	in	ADP
mkg-990	33	25	b	b	PROPN
mkg-990	33	26	times	time	NOUN
mkg-990	33	27	.	.	PUNCT
mkg-990	34	1	result	result	VERB
mkg-990	34	2	thirty	thirty	NUM
mkg-990	34	3	out	out	ADP
mkg-990	34	4	of	of	ADP
mkg-990	34	5	100	100	NUM
mkg-990	34	6	secondary	secondary	ADJ
mkg-990	34	7	data	datum	NOUN
mkg-990	34	8	were	be	AUX
mkg-990	34	9	randomized	randomize	VERB
mkg-990	34	10	.	.	PUNCT
mkg-990	35	1	the	the	DET
mkg-990	35	2	data	datum	NOUN
mkg-990	35	3	were	be	AUX
mkg-990	35	4	tried	try	VERB
mkg-990	35	5	to	to	PART
mkg-990	35	6	be	be	AUX
mkg-990	35	7	firstly	firstly	ADV
mkg-990	35	8	subjected	subject	VERB
mkg-990	35	9	to	to	PART
mkg-990	35	10	linear	linear	VERB
mkg-990	35	11	regression	regression	NOUN
mkg-990	35	12	determine	determine	NOUN
mkg-990	35	13	β̂	β̂	ADP
mkg-990	35	14	and	and	CCONJ
mkg-990	35	15	ŷ	ŷ	NUM
mkg-990	35	16	values	value	NOUN
mkg-990	35	17	from	from	ADP
mkg-990	35	18	ols	ol	NOUN
mkg-990	35	19	determine	determine	VERB
mkg-990	35	20	iii	iii	NUM
mkg-990	35	21	yy	yy	NOUN
mkg-990	35	22	ˆ	ˆ	PROPN
mkg-990	35	23	determine	determine	VERB
mkg-990	35	24	the	the	DET
mkg-990	35	25	number	number	NOUN
mkg-990	35	26	of	of	ADP
mkg-990	35	27	repetition	repetition	NOUN
mkg-990	35	28	bootstrap	bootstrap	NOUN
mkg-990	35	29	(	(	PUNCT
mkg-990	35	30	b	b	NOUN
mkg-990	35	31	)	)	PUNCT
mkg-990	35	32	taking	take	VERB
mkg-990	35	33	n	n	PRON
mkg-990	35	34	sample	sample	NOUN
mkg-990	35	35	from	from	ADP
mkg-990	35	36	the	the	DET
mkg-990	35	37	return	return	NOUN
mkg-990	35	38	of	of	ADP
mkg-990	35	39	i	i	PRON
mkg-990	35	40	,	,	PUNCT
mkg-990	35	41	which	which	PRON
mkg-990	35	42	is	be	AUX
mkg-990	35	43	regarded	regard	VERB
mkg-990	35	44	as	as	ADP
mkg-990	35	45	)	)	PUNCT
mkg-990	35	46	(	(	PUNCT
mkg-990	35	47	i	i	PRON
mkg-990	35	48	determine	determine	VERB
mkg-990	35	49	)	)	PUNCT
mkg-990	35	50	(	(	PUNCT
mkg-990	35	51	ˆ	ˆ	NOUN
mkg-990	35	52	iii	iii	NOUN
mkg-990	35	53	yy	yy	PROPN
mkg-990	35	54	values	value	NOUN
mkg-990	35	55	determine	determine	VERB
mkg-990	35	56	β̂	β̂	ADP
mkg-990	35	57	values	value	NOUN
mkg-990	35	58	in	in	ADP
mkg-990	35	59	ith	ith	PROPN
mkg-990	35	60	sample	sample	NOUN
mkg-990	35	61	is	be	AUX
mkg-990	35	62	the	the	DET
mkg-990	35	63	number	number	NOUN
mkg-990	35	64	of	of	ADP
mkg-990	35	65	repetition	repetition	NOUN
mkg-990	35	66	<	<	X
mkg-990	35	67	b	b	X
mkg-990	35	68	yes	yes	INTJ
mkg-990	35	69	no	no	DET
mkg-990	35	70	determining	determine	VERB
mkg-990	35	71	β̂	β̂	ADP
mkg-990	35	72	from	from	ADP
mkg-990	35	73	“	"	PUNCT
mkg-990	35	74	bootstrap	bootstrap	NOUN
mkg-990	35	75	”	"	PUNCT
mkg-990	35	76	method	method	NOUN
mkg-990	35	77	as	as	ADP
mkg-990	35	78	the	the	DET
mkg-990	35	79	average	average	NOUN
mkg-990	35	80	of	of	ADP
mkg-990	35	81	β̂	β̂	ADP
mkg-990	35	82	of	of	ADP
mkg-990	35	83	sample	sample	NOUN
mkg-990	35	84	taking	take	VERB
mkg-990	35	85	in	in	ADP
mkg-990	35	86	b	b	PROPN
mkg-990	35	87	times	time	NOUN
mkg-990	35	88	start	start	VERB
mkg-990	35	89	finish	finish	NOUN
mkg-990	35	90	figure	figure	NOUN
mkg-990	35	91	1	1	NUM
mkg-990	35	92	.	.	PUNCT
mkg-990	36	1	the	the	DET
mkg-990	36	2	algorithim	algorithim	PROPN
mkg-990	36	3	of	of	ADP
mkg-990	36	4	data	datum	NOUN
mkg-990	36	5	regression	regression	NOUN
mkg-990	36	6	method	method	NOUN
mkg-990	36	7	of	of	ADP
mkg-990	36	8	bootstrap	bootstrap	NOUN
mkg-990	36	9	result.6	result.6	PROPN
mkg-990	36	10	192	192	NUM
mkg-990	36	11	dent	dent	NOUN
mkg-990	36	12	.	.	PUNCT
mkg-990	37	1	j.	j.	PROPN
mkg-990	37	2	(	(	PUNCT
mkg-990	37	3	maj	maj	PROPN
mkg-990	37	4	.	.	PROPN
mkg-990	37	5	ked	ked	PROPN
mkg-990	37	6	.	.	PUNCT
mkg-990	38	1	gigi	gigi	PROPN
mkg-990	38	2	)	)	PUNCT
mkg-990	38	3	,	,	PUNCT
mkg-990	38	4	vol	vol	NOUN
mkg-990	38	5	.	.	PROPN
mkg-990	39	1	41	41	NUM
mkg-990	39	2	.	.	PUNCT
mkg-990	40	1	no	no	INTJ
mkg-990	40	2	.	.	NOUN
mkg-990	40	3	4	4	NUM
mkg-990	40	4	october	october	PROPN
mkg-990	40	5	–	–	PUNCT
mkg-990	40	6	december	december	PROPN
mkg-990	40	7	2008	2008	NUM
mkg-990	40	8	:	:	PUNCT
mkg-990	41	1	190−193	190−193	NUM
mkg-990	41	2	analysis	analysis	NOUN
mkg-990	41	3	,	,	PUNCT
mkg-990	41	4	and	and	CCONJ
mkg-990	41	5	after	after	SCONJ
mkg-990	41	6	regression	regression	NOUN
mkg-990	41	7	equation	equation	NOUN
mkg-990	41	8	was	be	AUX
mkg-990	41	9	obtained	obtain	VERB
mkg-990	41	10	,	,	PUNCT
mkg-990	41	11	they	they	PRON
mkg-990	41	12	were	be	AUX
mkg-990	41	13	subjected	subject	VERB
mkg-990	41	14	to	to	PART
mkg-990	41	15	linear	linear	VERB
mkg-990	41	16	regression	regression	NOUN
mkg-990	41	17	analysis	analysis	NOUN
mkg-990	41	18	of	of	ADP
mkg-990	41	19	the	the	DET
mkg-990	41	20	bootstrap	bootstrap	NOUN
mkg-990	41	21	result	result	NOUN
mkg-990	41	22	using	use	VERB
mkg-990	41	23	macrominitab	macrominitab	NOUN
mkg-990	41	24	program	program	NOUN
mkg-990	41	25	.	.	PUNCT
mkg-990	42	1	determining	determine	VERB
mkg-990	42	2	regression	regression	NOUN
mkg-990	42	3	coefficient	coefficient	NOUN
mkg-990	42	4	parameter	parameter	NOUN
mkg-990	42	5	using	use	VERB
mkg-990	42	6	linear	linear	PROPN
mkg-990	42	7	regression	regression	NOUN
mkg-990	42	8	analysis	analysis	NOUN
mkg-990	42	9	analysis	analysis	NOUN
mkg-990	42	10	regression	regression	NOUN
mkg-990	42	11	:	:	PUNCT
mkg-990	42	12	caries	carie	NOUN
mkg-990	42	13	vs.	vs.	ADP
mkg-990	42	14	ohi	ohi	PROPN
mkg-990	42	15	-	-	PUNCT
mkg-990	42	16	s	s	NOUN
mkg-990	42	17	the	the	DET
mkg-990	42	18	regression	regression	NOUN
mkg-990	42	19	equation	equation	NOUN
mkg-990	42	20	is	be	AUX
mkg-990	42	21	karies	karie	NOUN
mkg-990	42	22	=	=	NOUN
mkg-990	43	1	1.90	1.90	NUM
mkg-990	43	2	+	+	NUM
mkg-990	43	3	2.02	2.02	NUM
mkg-990	43	4	ohi	ohi	NOUN
mkg-990	43	5	-	-	PUNCT
mkg-990	43	6	s	s	NOUN
mkg-990	43	7	predictor	predictor	NOUN
mkg-990	43	8	coef	coef	PROPN
mkg-990	43	9	se	se	PROPN
mkg-990	43	10	coef	coef	PROPN
mkg-990	43	11	t	t	PROPN
mkg-990	43	12	p	p	PROPN
mkg-990	43	13	constant	constant	ADJ
mkg-990	43	14	1.9028	1.9028	NUM
mkg-990	43	15	0.4557	0.4557	NUM
mkg-990	43	16	4.18	4.18	NUM
mkg-990	43	17	0.000	0.000	NUM
mkg-990	43	18	ohi	ohi	NOUN
mkg-990	43	19	-	-	PUNCT
mkg-990	43	20	s	s	PROPN
mkg-990	43	21	2.0228	2.0228	NUM
mkg-990	43	22	0.2660	0.2660	NUM
mkg-990	43	23	7.61	7.61	NUM
mkg-990	43	24	0.000	0.000	NUM
mkg-990	43	25	s	s	NOUN
mkg-990	43	26	=	=	SYM
mkg-990	43	27	1.167	1.167	NUM
mkg-990	43	28	r	r	NOUN
mkg-990	43	29	-	-	PUNCT
mkg-990	43	30	sq	sq	ADJ
mkg-990	43	31	=	=	NOUN
mkg-990	43	32	67.4	67.4	NUM
mkg-990	43	33	%	%	NOUN
mkg-990	43	34	r	r	NOUN
mkg-990	43	35	-	-	PUNCT
mkg-990	43	36	sq(adj	sq(adj	NOUN
mkg-990	43	37	)	)	PUNCT
mkg-990	43	38	=	=	PUNCT
mkg-990	43	39	66.2	66.2	NUM
mkg-990	43	40	%	%	NOUN
mkg-990	43	41	analysis	analysis	NOUN
mkg-990	43	42	of	of	ADP
mkg-990	43	43	variance	variance	NOUN
mkg-990	43	44	source	source	NOUN
mkg-990	43	45	df	df	PROPN
mkg-990	43	46	ss	ss	PROPN
mkg-990	43	47	m	m	PROPN
mkg-990	43	48	f	f	NOUN
mkg-990	43	49	p	p	ADJ
mkg-990	43	50	regression	regression	NOUN
mkg-990	43	51	1	1	NUM
mkg-990	43	52	78.818	78.818	NUM
mkg-990	43	53	78.818	78.818	NUM
mkg-990	43	54	57.85	57.85	NUM
mkg-990	43	55	0.000	0.000	NUM
mkg-990	43	56	residual	residual	ADJ
mkg-990	43	57	error	error	NOUN
mkg-990	43	58	28	28	NUM
mkg-990	43	59	38.149	38.149	NUM
mkg-990	43	60	1.362	1.362	NUM
mkg-990	43	61	total	total	ADJ
mkg-990	43	62	29	29	NUM
mkg-990	43	63	116.967	116.967	NUM
mkg-990	43	64	unusual	unusual	ADJ
mkg-990	43	65	observations	observation	NOUN
mkg-990	43	66	obs	obs	PROPN
mkg-990	43	67	ohi	ohi	PROPN
mkg-990	43	68	-	-	PUNCT
mkg-990	43	69	s	s	PART
mkg-990	43	70	karies	karie	NOUN
mkg-990	43	71	fit	fit	ADJ
mkg-990	43	72	se	se	PROPN
mkg-990	43	73	fit	fit	PROPN
mkg-990	43	74	residua	residua	PROPN
mkg-990	43	75	st	st	PROPN
mkg-990	43	76	resid	resid	PROPN
mkg-990	43	77	6	6	NUM
mkg-990	43	78	1.90	1.90	NUM
mkg-990	43	79	10.000	10.000	NUM
mkg-990	43	80	5.746	5.746	NUM
mkg-990	43	81	0.236	0.236	NUM
mkg-990	43	82	4.254	4.254	NUM
mkg-990	43	83	3.72r	3.72r	NUM
mkg-990	43	84	r	r	NOUN
mkg-990	43	85	denotes	denote	VERB
mkg-990	43	86	an	an	DET
mkg-990	43	87	observation	observation	NOUN
mkg-990	43	88	with	with	ADP
mkg-990	43	89	a	a	DET
mkg-990	43	90	large	large	ADJ
mkg-990	43	91	standardized	standardized	ADJ
mkg-990	43	92	residual	residual	ADJ
mkg-990	43	93	durbin	durbin	ADJ
mkg-990	43	94	-	-	PUNCT
mkg-990	43	95	watson	watson	NOUN
mkg-990	43	96	statistic	statistic	NOUN
mkg-990	43	97	=	=	SYM
mkg-990	43	98	2.00	2.00	NUM
mkg-990	43	99	using	use	VERB
mkg-990	43	100	enter	enter	VERB
mkg-990	43	101	method	method	NOUN
mkg-990	43	102	on	on	ADP
mkg-990	43	103	the	the	DET
mkg-990	43	104	result	result	NOUN
mkg-990	43	105	of	of	ADP
mkg-990	43	106	t	t	PROPN
mkg-990	43	107	test	test	NOUN
mkg-990	43	108	above	above	ADV
mkg-990	43	109	,	,	PUNCT
mkg-990	43	110	the	the	DET
mkg-990	43	111	p	p	NOUN
mkg-990	43	112	value	value	NOUN
mkg-990	43	113	for	for	ADP
mkg-990	43	114	ohi	ohi	PROPN
mkg-990	43	115	-	-	PUNCT
mkg-990	43	116	s	s	NOUN
mkg-990	43	117	variable	variable	NOUN
mkg-990	43	118	was	be	AUX
mkg-990	43	119	significant	significant	ADJ
mkg-990	43	120	(	(	PUNCT
mkg-990	43	121	p	p	NOUN
mkg-990	43	122	-	-	PUNCT
mkg-990	43	123	value	value	NOUN
mkg-990	43	124	=	=	NOUN
mkg-990	43	125	0.000	0.000	NUM
mkg-990	43	126	)	)	PUNCT
mkg-990	43	127	.	.	PUNCT
mkg-990	44	1	in	in	ADP
mkg-990	44	2	variance	variance	NOUN
mkg-990	44	3	test	test	NOUN
mkg-990	44	4	the	the	DET
mkg-990	44	5	significance	significance	NOUN
mkg-990	44	6	was	be	AUX
mkg-990	44	7	p	p	NOUN
mkg-990	44	8	=	=	NOUN
mkg-990	44	9	0.000	0.000	NUM
mkg-990	44	10	.	.	PUNCT
mkg-990	45	1	the	the	DET
mkg-990	45	2	regression	regression	NOUN
mkg-990	45	3	parameter	parameter	NOUN
mkg-990	45	4	of	of	ADP
mkg-990	45	5	b0	b0	NOUN
mkg-990	45	6	=	=	PROPN
mkg-990	45	7	1.9028	1.9028	NUM
mkg-990	45	8	and	and	CCONJ
mkg-990	45	9	b1	b1	NOUN
mkg-990	45	10	=	=	SYM
mkg-990	45	11	2.0228	2.0228	NUM
mkg-990	45	12	.	.	PUNCT
mkg-990	46	1	the	the	DET
mkg-990	46	2	regression	regression	NOUN
mkg-990	46	3	equation	equation	NOUN
mkg-990	46	4	:	:	PUNCT
mkg-990	46	5	caries	carie	NOUN
mkg-990	46	6	=	=	PUNCT
mkg-990	46	7	1.9028	1.9028	NUM
mkg-990	46	8	+	+	CCONJ
mkg-990	46	9	2.0228	2.0228	NUM
mkg-990	46	10	ohi	ohi	NOUN
mkg-990	46	11	-	-	PUNCT
mkg-990	46	12	s	s	NOUN
mkg-990	46	13	or	or	CCONJ
mkg-990	46	14	caries	carie	NOUN
mkg-990	46	15	=	=	NOUN
mkg-990	46	16	1.90	1.90	NUM
mkg-990	46	17	+	+	NUM
mkg-990	46	18	2.02	2.02	NUM
mkg-990	46	19	ohi	ohi	NOUN
mkg-990	46	20	-	-	PUNCT
mkg-990	46	21	s.	s.	PROPN
mkg-990	46	22	several	several	ADJ
mkg-990	46	23	assumption	assumption	NOUN
mkg-990	46	24	tests	test	NOUN
mkg-990	46	25	:	:	PUNCT
mkg-990	46	26	ει	ει	ADV
mkg-990	46	27	was	be	AUX
mkg-990	46	28	normally	normally	ADV
mkg-990	46	29	distributed	distribute	VERB
mkg-990	46	30	and	and	CCONJ
mkg-990	46	31	ε	ε	PROPN
mkg-990	46	32	was	be	AUX
mkg-990	46	33	a	a	DET
mkg-990	46	34	randomized	randomized	ADJ
mkg-990	46	35	variable	variable	NOUN
mkg-990	46	36	with	with	ADP
mkg-990	46	37	(	(	PUNCT
mkg-990	46	38	σει	σει	PROPN
mkg-990	46	39	)	)	PUNCT
mkg-990	46	40	=	=	SYM
mkg-990	46	41	0	0	NUM
mkg-990	46	42	.	.	PUNCT
mkg-990	47	1	the	the	DET
mkg-990	47	2	kolmogorov	kolmogorov	ADJ
mkg-990	47	3	-	-	PUNCT
mkg-990	47	4	smirnov	smirnov	ADJ
mkg-990	47	5	test	test	NOUN
mkg-990	47	6	revealed	reveal	VERB
mkg-990	47	7	“	"	PUNCT
mkg-990	47	8	approximate	approximate	ADJ
mkg-990	47	9	p	p	NOUN
mkg-990	47	10	-value	-value	NOUN
mkg-990	47	11	”	"	PUNCT
mkg-990	47	12	of	of	ADP
mkg-990	47	13	>	>	X
mkg-990	47	14	0.15	0.15	NUM
mkg-990	47	15	.	.	PUNCT
mkg-990	48	1	residual	residual	ADJ
mkg-990	48	2	had	have	VERB
mkg-990	48	3	normal	normal	ADJ
mkg-990	48	4	distribution	distribution	NOUN
mkg-990	48	5	.	.	PUNCT
mkg-990	49	1	the	the	DET
mkg-990	49	2	result	result	NOUN
mkg-990	49	3	of	of	ADP
mkg-990	49	4	spearman	spearman	NOUN
mkg-990	49	5	’s	’s	PART
mkg-990	49	6	correlation	correlation	NOUN
mkg-990	49	7	test	test	NOUN
mkg-990	49	8	revealed	reveal	VERB
mkg-990	49	9	insignificant	insignificant	ADJ
mkg-990	49	10	correlation	correlation	NOUN
mkg-990	49	11	between	between	ADP
mkg-990	49	12	residual	residual	ADJ
mkg-990	49	13	and	and	CCONJ
mkg-990	49	14	ohi	ohi	PROPN
mkg-990	49	15	-	-	PUNCT
mkg-990	49	16	s	s	NOUN
mkg-990	49	17	variable	variable	NOUN
mkg-990	49	18	(	(	PUNCT
mkg-990	49	19	“	"	PUNCT
mkg-990	49	20	sig	sig	NOUN
mkg-990	49	21	”	"	PUNCT
mkg-990	49	22	=	=	NUM
mkg-990	49	23	0.685	0.685	NUM
mkg-990	49	24	)	)	PUNCT
mkg-990	49	25	,	,	PUNCT
mkg-990	49	26	indicating	indicate	VERB
mkg-990	49	27	no	no	DET
mkg-990	49	28	heteroscedacity	heteroscedacity	NOUN
mkg-990	49	29	.	.	PUNCT
mkg-990	50	1	no	no	DET
mkg-990	50	2	correlation	correlation	NOUN
mkg-990	50	3	assumption	assumption	NOUN
mkg-990	50	4	was	be	AUX
mkg-990	50	5	observed	observe	VERB
mkg-990	50	6	by	by	ADP
mkg-990	50	7	comparing	compare	VERB
mkg-990	50	8	the	the	DET
mkg-990	50	9	values	value	NOUN
mkg-990	50	10	in	in	ADP
mkg-990	50	11	durbin	durbin	PROPN
mkg-990	50	12	watson	watson	PROPN
mkg-990	50	13	table	table	NOUN
mkg-990	50	14	to	to	ADP
mkg-990	50	15	the	the	DET
mkg-990	50	16	values	value	NOUN
mkg-990	50	17	of	of	ADP
mkg-990	50	18	durbin	durbin	ADJ
mkg-990	50	19	watson	watson	PROPN
mkg-990	50	20	values	value	NOUN
mkg-990	50	21	from	from	ADP
mkg-990	50	22	the	the	DET
mkg-990	50	23	estimation	estimation	NOUN
mkg-990	50	24	.	.	PUNCT
mkg-990	51	1	the	the	DET
mkg-990	51	2	value	value	NOUN
mkg-990	51	3	of	of	ADP
mkg-990	51	4	d	d	PROPN
mkg-990	51	5	was	be	AUX
mkg-990	51	6	>	>	X
mkg-990	51	7	du	du	X
mkg-990	51	8	or	or	CCONJ
mkg-990	51	9	4	4	NUM
mkg-990	51	10	-	-	SYM
mkg-990	51	11	d	d	X
mkg-990	51	12	>	>	X
mkg-990	51	13	du	du	PROPN
mkg-990	51	14	,	,	PUNCT
mkg-990	51	15	h0	h0	PROPN
mkg-990	51	16	was	be	AUX
mkg-990	51	17	accepted	accept	VERB
mkg-990	51	18	,	,	PUNCT
mkg-990	51	19	indicating	indicate	VERB
mkg-990	51	20	no	no	DET
mkg-990	51	21	correlation	correlation	NOUN
mkg-990	51	22	between	between	ADP
mkg-990	51	23	residuals	residual	NOUN
mkg-990	51	24	.	.	PUNCT
mkg-990	52	1	the	the	DET
mkg-990	52	2	independent	independent	ADJ
mkg-990	52	3	variable	variable	NOUN
mkg-990	52	4	was	be	AUX
mkg-990	52	5	only	only	ADV
mkg-990	52	6	one	one	NUM
mkg-990	52	7	,	,	PUNCT
mkg-990	52	8	multicolinearity	multicolinearity	NOUN
mkg-990	52	9	assumption	assumption	NOUN
mkg-990	52	10	test	test	NOUN
mkg-990	52	11	could	could	AUX
mkg-990	52	12	not	not	PART
mkg-990	52	13	be	be	AUX
mkg-990	52	14	performed	perform	VERB
mkg-990	52	15	.	.	PUNCT
mkg-990	53	1	plot	plot	NOUN
mkg-990	53	2	dots	dot	NOUN
mkg-990	53	3	were	be	AUX
mkg-990	53	4	distributed	distribute	VERB
mkg-990	53	5	around	around	ADP
mkg-990	53	6	the	the	DET
mkg-990	53	7	value	value	NOUN
mkg-990	53	8	0	0	NUM
mkg-990	53	9	,	,	PUNCT
mkg-990	53	10	indicating	indicate	VERB
mkg-990	53	11	the	the	DET
mkg-990	53	12	presence	presence	NOUN
mkg-990	53	13	of	of	ADP
mkg-990	53	14	linearity	linearity	NOUN
mkg-990	53	15	.	.	PUNCT
mkg-990	54	1	determining	determine	VERB
mkg-990	54	2	regression	regression	NOUN
mkg-990	54	3	coefficient	coefficient	NOUN
mkg-990	54	4	parameter	parameter	NOUN
mkg-990	54	5	of	of	ADP
mkg-990	54	6	bootstrap	bootstrap	NOUN
mkg-990	54	7	result	result	PROPN
mkg-990	54	8	data	datum	NOUN
mkg-990	54	9	bootstrap	bootstrap	NOUN
mkg-990	54	10	method	method	NOUN
mkg-990	54	11	applied	apply	VERB
mkg-990	54	12	was	be	AUX
mkg-990	54	13	performed	perform	VERB
mkg-990	54	14	by	by	ADP
mkg-990	54	15	resampling	resample	VERB
mkg-990	54	16	the	the	DET
mkg-990	54	17	residuals	residual	NOUN
mkg-990	54	18	.	.	PUNCT
mkg-990	55	1	the	the	DET
mkg-990	55	2	call	call	NOUN
mkg-990	55	3	of	of	ADP
mkg-990	55	4	bootstrap	bootstrap	NOUN
mkg-990	55	5	command	command	NOUN
mkg-990	55	6	in	in	ADP
mkg-990	55	7	the	the	DET
mkg-990	55	8	form	form	NOUN
mkg-990	55	9	of	of	ADP
mkg-990	55	10	macrominitab	macrominitab	NOUN
mkg-990	55	11	with	with	ADP
mkg-990	55	12	10	10	NUM
mkg-990	55	13	iterations	iteration	NOUN
mkg-990	55	14	was	be	AUX
mkg-990	55	15	%	%	NOUN
mkg-990	55	16	d:\bootstrap_baru	d:\bootstrap_baru	PROPN
mkg-990	55	17	.	.	PUNCT
mkg-990	56	1	txt	txt	PROPN
mkg-990	56	2	c1	c1	PROPN
mkg-990	56	3	c2	c2	PROPN
mkg-990	56	4	c3	c3	PROPN
mkg-990	56	5	-	-	PROPN
mkg-990	56	6	c12	c12	PROPN
mkg-990	56	7	c13	c13	PROPN
mkg-990	56	8	-	-	PUNCT
mkg-990	56	9	c22	c22	PROPN
mkg-990	56	10	c23	c23	PROPN
mkg-990	56	11	c24	c24	PROPN
mkg-990	56	12	c25	c25	PROPN
mkg-990	56	13	c26	c26	PROPN
mkg-990	56	14	c27	c27	PROPN
mkg-990	56	15	c28	c28	PROPN
mkg-990	56	16	,	,	PUNCT
mkg-990	56	17	which	which	PRON
mkg-990	56	18	was	be	AUX
mkg-990	56	19	subsequently	subsequently	ADV
mkg-990	56	20	entered	enter	VERB
mkg-990	56	21	into	into	ADP
mkg-990	56	22	minitab	minitab	PROPN
mkg-990	56	23	program	program	PROPN
mkg-990	56	24	.	.	PUNCT
mkg-990	57	1	description	description	NOUN
mkg-990	57	2	:	:	PUNCT
mkg-990	57	3	%	%	INTJ
mkg-990	57	4	d:\bootstrap_baru.txt	d:\bootstrap_baru.txt	PROPN
mkg-990	57	5	is	be	AUX
mkg-990	57	6	formula	formula	NOUN
mkg-990	57	7	bootstrap	bootstrap	NOUN
mkg-990	57	8	,	,	PUNCT
mkg-990	57	9	c1	c1	PROPN
mkg-990	57	10	is	be	AUX
mkg-990	57	11	column	column	NOUN
mkg-990	57	12	variable	variable	PROPN
mkg-990	57	13	dependen	dependen	PROPN
mkg-990	57	14	,	,	PUNCT
mkg-990	57	15	c2	c2	PROPN
mkg-990	57	16	is	be	AUX
mkg-990	57	17	column	column	NOUN
mkg-990	57	18	variable	variable	ADJ
mkg-990	57	19	independent	independent	ADJ
mkg-990	57	20	,	,	PUNCT
mkg-990	57	21	c3	c3	PROPN
mkg-990	57	22	-	-	PUNCT
mkg-990	57	23	c12	c12	PROPN
mkg-990	57	24	is	be	AUX
mkg-990	57	25	column	column	NOUN
mkg-990	57	26	regression	regression	NOUN
mkg-990	57	27	parameter	parameter	NOUN
mkg-990	57	28	b0	b0	PROPN
mkg-990	57	29	.	.	PUNCT
mkg-990	58	1	c13	c13	PROPN
mkg-990	58	2	-	-	PUNCT
mkg-990	58	3	c22	c22	PROPN
mkg-990	58	4	is	be	AUX
mkg-990	58	5	column	column	NOUN
mkg-990	58	6	regression	regression	NOUN
mkg-990	58	7	parameter	parameter	PROPN
mkg-990	58	8	b1	b1	PROPN
mkg-990	58	9	,	,	PUNCT
mkg-990	58	10	c23	c23	PROPN
mkg-990	58	11	is	be	AUX
mkg-990	58	12	column	column	NOUN
mkg-990	58	13	b0	b0	PROPN
mkg-990	58	14	bootstrap	bootstrap	NOUN
mkg-990	58	15	,	,	PUNCT
mkg-990	58	16	c24	c24	PROPN
mkg-990	58	17	is	be	AUX
mkg-990	58	18	column	column	NOUN
mkg-990	58	19	b1	b1	PROPN
mkg-990	58	20	bootstrap	bootstrap	NOUN
mkg-990	58	21	,	,	PUNCT
mkg-990	58	22	c25	c25	PROPN
mkg-990	58	23	is	be	AUX
mkg-990	58	24	column	column	NOUN
mkg-990	58	25	lowb1	lowb1	PROPN
mkg-990	58	26	,	,	PUNCT
mkg-990	58	27	c26	c26	NOUN
mkg-990	58	28	is	be	AUX
mkg-990	58	29	column	column	NOUN
mkg-990	58	30	up	up	ADP
mkg-990	58	31	b0	b0	NOUN
mkg-990	58	32	,	,	PUNCT
mkg-990	58	33	c27	c27	PROPN
mkg-990	58	34	is	be	AUX
mkg-990	58	35	column	column	NOUN
mkg-990	58	36	low	low	PROPN
mkg-990	58	37	b1	b1	PROPN
mkg-990	58	38	,	,	PUNCT
mkg-990	58	39	c28	c28	NOUN
mkg-990	58	40	is	be	AUX
mkg-990	58	41	column	column	NOUN
mkg-990	58	42	up	up	ADP
mkg-990	58	43	b1	b1	NOUN
mkg-990	58	44	.	.	PUNCT
mkg-990	59	1	first	first	ADV
mkg-990	59	2	,	,	PUNCT
mkg-990	59	3	we	we	PRON
mkg-990	59	4	used	use	VERB
mkg-990	59	5	b	b	PROPN
mkg-990	59	6	of	of	ADP
mkg-990	59	7	1000	1000	NUM
mkg-990	59	8	as	as	ADV
mkg-990	59	9	many	many	ADJ
mkg-990	59	10	as	as	ADP
mkg-990	59	11	1000	1000	NUM
mkg-990	59	12	times	time	NOUN
mkg-990	59	13	iteration	iteration	NOUN
mkg-990	59	14	,	,	PUNCT
mkg-990	59	15	and	and	CCONJ
mkg-990	59	16	the	the	DET
mkg-990	59	17	b	b	NOUN
mkg-990	59	18	was	be	AUX
mkg-990	59	19	augmented	augment	VERB
mkg-990	59	20	with	with	ADP
mkg-990	59	21	the	the	DET
mkg-990	59	22	addition	addition	NOUN
mkg-990	59	23	of	of	ADP
mkg-990	59	24	500	500	NUM
mkg-990	59	25	until	until	ADP
mkg-990	59	26	reaching	reach	VERB
mkg-990	59	27	convergent	convergent	NOUN
mkg-990	59	28	(	(	PUNCT
mkg-990	59	29	constant	constant	ADJ
mkg-990	59	30	)	)	PUNCT
mkg-990	59	31	regression	regression	NOUN
mkg-990	59	32	parameter	parameter	NOUN
mkg-990	59	33	,	,	PUNCT
mkg-990	59	34	with	with	ADP
mkg-990	59	35	an	an	DET
mkg-990	59	36	agreement	agreement	NOUN
mkg-990	59	37	that	that	PRON
mkg-990	59	38	resulted	result	VERB
mkg-990	59	39	regression	regression	NOUN
mkg-990	59	40	coefficient	coefficient	NOUN
mkg-990	59	41	parameter	parameter	NOUN
mkg-990	59	42	is	be	AUX
mkg-990	59	43	using	use	VERB
mkg-990	59	44	two	two	NUM
mkg-990	59	45	decimal	decimal	ADJ
mkg-990	59	46	places	place	NOUN
mkg-990	59	47	.	.	PUNCT
mkg-990	60	1	it	it	PRON
mkg-990	60	2	was	be	AUX
mkg-990	60	3	found	find	VERB
mkg-990	60	4	that	that	SCONJ
mkg-990	60	5	in	in	ADP
mkg-990	60	6	b	b	PROPN
mkg-990	60	7	=	=	SYM
mkg-990	60	8	10.500	10.500	NUM
mkg-990	60	9	in	in	ADP
mkg-990	60	10	10	10	NUM
mkg-990	60	11	times	time	NOUN
mkg-990	60	12	iteration	iteration	NOUN
mkg-990	60	13	the	the	DET
mkg-990	60	14	regression	regression	NOUN
mkg-990	60	15	coefficient	coefficient	NOUN
mkg-990	60	16	parameter	parameter	NOUN
mkg-990	60	17	value	value	NOUN
mkg-990	60	18	of	of	ADP
mkg-990	60	19	b0	b0	NOUN
mkg-990	60	20	was	be	AUX
mkg-990	60	21	convergent	convergent	ADJ
mkg-990	60	22	/	/	SYM
mkg-990	60	23	constant	constant	ADJ
mkg-990	60	24	.	.	PUNCT
mkg-990	61	1	table	table	NOUN
mkg-990	61	2	1	1	NUM
mkg-990	61	3	shows	show	VERB
mkg-990	61	4	that	that	SCONJ
mkg-990	61	5	b0	b0	NOUN
mkg-990	61	6	was	be	AUX
mkg-990	61	7	1.90	1.90	NUM
mkg-990	61	8	,	,	PUNCT
mkg-990	61	9	and	and	CCONJ
mkg-990	61	10	b1	b1	NOUN
mkg-990	61	11	was	be	AUX
mkg-990	61	12	between	between	ADP
mkg-990	61	13	2.02	2.02	NUM
mkg-990	61	14	–	–	PUNCT
mkg-990	61	15	2.03	2.03	NUM
mkg-990	61	16	(	(	PUNCT
mkg-990	61	17	two	two	NUM
mkg-990	61	18	decimal	decimal	ADJ
mkg-990	61	19	places	place	NOUN
mkg-990	61	20	)	)	PUNCT
mkg-990	61	21	.	.	PUNCT
mkg-990	62	1	mean	mean	NOUN
mkg-990	62	2	of	of	ADP
mkg-990	62	3	b0	b0	NOUN
mkg-990	62	4	=	=	PROPN
mkg-990	62	5	1.90	1.90	NUM
mkg-990	62	6	and	and	CCONJ
mkg-990	62	7	mean	mean	VERB
mkg-990	62	8	of	of	ADP
mkg-990	62	9	b1	b1	NOUN
mkg-990	62	10	=	=	NOUN
mkg-990	62	11	2.02	2.02	NUM
mkg-990	62	12	.	.	PUNCT
mkg-990	63	1	subsequently	subsequently	ADV
mkg-990	63	2	,	,	PUNCT
mkg-990	63	3	the	the	DET
mkg-990	63	4	variance	variance	NOUN
mkg-990	63	5	of	of	ADP
mkg-990	63	6	each	each	DET
mkg-990	63	7	bootstrap	bootstrap	NOUN
mkg-990	63	8	was	be	AUX
mkg-990	63	9	estimated	estimate	VERB
mkg-990	63	10	.	.	PUNCT
mkg-990	64	1	the	the	DET
mkg-990	64	2	variance	variance	NOUN
mkg-990	64	3	of	of	ADP
mkg-990	64	4	b0	b0	NOUN
mkg-990	64	5	and	and	CCONJ
mkg-990	64	6	b1	b1	NOUN
mkg-990	64	7	of	of	ADP
mkg-990	64	8	b	b	NOUN
mkg-990	64	9	=	=	SYM
mkg-990	64	10	10.500	10.500	NUM
mkg-990	64	11	can	can	AUX
mkg-990	64	12	be	be	AUX
mkg-990	64	13	seen	see	VERB
mkg-990	64	14	in	in	ADP
mkg-990	64	15	table	table	NOUN
mkg-990	64	16	2	2	NUM
mkg-990	64	17	.	.	PUNCT
mkg-990	64	18	table	table	NOUN
mkg-990	64	19	2	2	NUM
mkg-990	64	20	.	.	PUNCT
mkg-990	64	21	variance	variance	NOUN
mkg-990	64	22	values	value	NOUN
mkg-990	64	23	of	of	ADP
mkg-990	64	24	b0	b0	NOUN
mkg-990	64	25	and	and	CCONJ
mkg-990	64	26	b1	b1	NOUN
mkg-990	64	27	in	in	ADP
mkg-990	64	28	b	b	PROPN
mkg-990	64	29	=	=	SYM
mkg-990	64	30	10.500	10.500	NUM
mkg-990	64	31	b	b	PROPN
mkg-990	64	32	parameter	parameter	NOUN
mkg-990	64	33	b0	b0	PROPN
mkg-990	64	34	b1	b1	NOUN
mkg-990	64	35	10.500	10.500	NUM
mkg-990	64	36	0.000002072	0.000002072	NUM
mkg-990	64	37	0.000002813	0.000002813	NUM
mkg-990	64	38	table	table	NOUN
mkg-990	64	39	2	2	NUM
mkg-990	64	40	shows	show	VERB
mkg-990	64	41	that	that	SCONJ
mkg-990	64	42	in	in	ADP
mkg-990	64	43	b	b	PROPN
mkg-990	64	44	=	=	SYM
mkg-990	64	45	10.500	10.500	NUM
mkg-990	64	46	the	the	DET
mkg-990	64	47	variance	variance	NOUN
mkg-990	64	48	of	of	ADP
mkg-990	64	49	b0	b0	NOUN
mkg-990	64	50	is	be	AUX
mkg-990	64	51	0.000002072	0.000002072	NUM
mkg-990	64	52	,	,	PUNCT
mkg-990	64	53	b1	b1	NOUN
mkg-990	64	54	=	=	SYM
mkg-990	64	55	0.000002813	0.000002813	NUM
mkg-990	64	56	.	.	PUNCT
mkg-990	65	1	b	b	X
mkg-990	65	2	=	=	PUNCT
mkg-990	65	3	10.500	10.500	NUM
mkg-990	65	4	with	with	ADP
mkg-990	65	5	10	10	NUM
mkg-990	65	6	times	time	NOUN
mkg-990	65	7	iteration	iteration	NOUN
mkg-990	65	8	revealed	reveal	VERB
mkg-990	65	9	the	the	DET
mkg-990	65	10	least	least	ADJ
mkg-990	65	11	variance	variance	NOUN
mkg-990	65	12	(	(	PUNCT
mkg-990	65	13	minimum	minimum	NOUN
mkg-990	65	14	)	)	PUNCT
mkg-990	65	15	compared	compare	VERB
mkg-990	65	16	to	to	ADP
mkg-990	65	17	other	other	ADJ
mkg-990	65	18	b.	b.	PROPN
mkg-990	65	19	discussion	discussion	NOUN
mkg-990	65	20	regression	regression	NOUN
mkg-990	65	21	equation	equation	NOUN
mkg-990	65	22	produced	produce	VERB
mkg-990	65	23	using	use	VERB
mkg-990	65	24	bootstrap	bootstrap	NOUN
mkg-990	65	25	method	method	NOUN
mkg-990	65	26	(	(	PUNCT
mkg-990	65	27	with	with	ADP
mkg-990	65	28	b	b	NOUN
mkg-990	65	29	=	=	SYM
mkg-990	65	30	10,500	10,500	NUM
mkg-990	65	31	and	and	CCONJ
mkg-990	65	32	10	10	NUM
mkg-990	65	33	times	time	NOUN
mkg-990	65	34	iteration	iteration	NOUN
mkg-990	65	35	)	)	PUNCT
mkg-990	65	36	is	be	AUX
mkg-990	65	37	not	not	PART
mkg-990	65	38	far	far	ADV
mkg-990	65	39	different	different	ADJ
mkg-990	65	40	from	from	ADP
mkg-990	65	41	simple	simple	ADJ
mkg-990	65	42	linear	linear	ADJ
mkg-990	65	43	regression	regression	NOUN
mkg-990	65	44	equation	equation	NOUN
mkg-990	65	45	.	.	PUNCT
mkg-990	66	1	the	the	DET
mkg-990	66	2	resulted	resulted	ADJ
mkg-990	66	3	regression	regression	NOUN
mkg-990	66	4	equation	equation	NOUN
mkg-990	66	5	was	be	AUX
mkg-990	66	6	caries	carie	NOUN
mkg-990	66	7	=	=	PUNCT
mkg-990	66	8	1.90	1.90	NUM
mkg-990	66	9	+	+	NUM
mkg-990	66	10	2.02	2.02	NUM
mkg-990	66	11	table	table	NOUN
mkg-990	66	12	1	1	NUM
mkg-990	66	13	.	.	PUNCT
mkg-990	67	1	parameters	parameter	NOUN
mkg-990	67	2	of	of	ADP
mkg-990	67	3	b0	b0	NOUN
mkg-990	67	4	and	and	CCONJ
mkg-990	67	5	b1	b1	NOUN
mkg-990	67	6	in	in	ADP
mkg-990	67	7	b	b	NOUN
mkg-990	67	8	=	=	SYM
mkg-990	67	9	10.500	10.500	NUM
mkg-990	67	10	in	in	ADP
mkg-990	67	11	10	10	NUM
mkg-990	67	12	times	time	NOUN
mkg-990	67	13	iteration	iteration	NOUN
mkg-990	67	14	b=	b=	NOUN
mkg-990	67	15	10.500	10.500	NUM
mkg-990	67	16	parameter	parameter	NOUN
mkg-990	68	1	i	i	NOUN
mkg-990	68	2	=	=	NOUN
mkg-990	68	3	1	1	X
mkg-990	68	4	i	i	NOUN
mkg-990	68	5	=	=	NOUN
mkg-990	68	6	2	2	X
mkg-990	68	7	i	i	NOUN
mkg-990	68	8	=	=	NOUN
mkg-990	68	9	3	3	NUM
mkg-990	68	10	i	i	NOUN
mkg-990	68	11	=	=	NOUN
mkg-990	68	12	4	4	NUM
mkg-990	68	13	i	i	NOUN
mkg-990	68	14	=	=	NOUN
mkg-990	68	15	5	5	NUM
mkg-990	68	16	i	i	NOUN
mkg-990	68	17	=	=	NOUN
mkg-990	68	18	6	6	NUM
mkg-990	68	19	i	i	NOUN
mkg-990	68	20	=	=	NOUN
mkg-990	68	21	7	7	NUM
mkg-990	68	22	i	i	NOUN
mkg-990	68	23	=	=	NOUN
mkg-990	68	24	8	8	NUM
mkg-990	68	25	i	i	NOUN
mkg-990	68	26	=	=	NOUN
mkg-990	68	27	9	9	NUM
mkg-990	68	28	i	i	NOUN
mkg-990	68	29	=	=	NOUN
mkg-990	68	30	10	10	NUM
mkg-990	68	31	b0	b0	VERB
mkg-990	68	32	1.8	1.8	NUM
mkg-990	68	33	982	982	NUM
mkg-990	68	34	5	5	NUM
mkg-990	68	35	1.9	1.9	NUM
mkg-990	68	36	021	021	NUM
mkg-990	68	37	6	6	NUM
mkg-990	68	38	1.9	1.9	NUM
mkg-990	68	39	006	006	NUM
mkg-990	68	40	5	5	NUM
mkg-990	68	41	1.9	1.9	NUM
mkg-990	68	42	022	022	NUM
mkg-990	68	43	6	6	NUM
mkg-990	68	44	1.9	1.9	NUM
mkg-990	68	45	012	012	NUM
mkg-990	68	46	1	1	NUM
mkg-990	68	47	1.8	1.8	NUM
mkg-990	68	48	990	990	NUM
mkg-990	68	49	5	5	NUM
mkg-990	68	50	1.8	1.8	NUM
mkg-990	68	51	995	995	NUM
mkg-990	68	52	5	5	NUM
mkg-990	68	53	1.8	1.8	NUM
mkg-990	68	54	995	995	NUM
mkg-990	68	55	2	2	NUM
mkg-990	68	56	1.9	1.9	NUM
mkg-990	68	57	014	014	NUM
mkg-990	68	58	4	4	NUM
mkg-990	68	59	1.9	1.9	NUM
mkg-990	68	60	020	020	NUM
mkg-990	68	61	8	8	NUM
mkg-990	68	62	b1	b1	NOUN
mkg-990	68	63	2.0	2.0	NUM
mkg-990	68	64	220	220	NUM
mkg-990	68	65	6	6	NUM
mkg-990	68	66	2.0	2.0	NUM
mkg-990	68	67	250	250	NUM
mkg-990	68	68	6	6	NUM
mkg-990	68	69	2.0	2.0	NUM
mkg-990	68	70	223	223	NUM
mkg-990	68	71	8	8	NUM
mkg-990	68	72	2.0	2.0	NUM
mkg-990	68	73	237	237	NUM
mkg-990	68	74	3	3	NUM
mkg-990	68	75	2.0	2.0	NUM
mkg-990	68	76	2	2	NUM
mkg-990	68	77	608	608	NUM
mkg-990	68	78	2.0	2.0	NUM
mkg-990	68	79	238	238	NUM
mkg-990	68	80	5	5	NUM
mkg-990	68	81	2.0	2.0	NUM
mkg-990	68	82	251	251	NUM
mkg-990	68	83	5	5	NUM
mkg-990	68	84	2.0	2.0	NUM
mkg-990	68	85	256	256	NUM
mkg-990	68	86	2	2	NUM
mkg-990	68	87	2.0	2.0	NUM
mkg-990	68	88	215	215	NUM
mkg-990	68	89	5	5	NUM
mkg-990	68	90	2.0	2.0	NUM
mkg-990	68	91	219	219	NUM
mkg-990	68	92	8	8	NUM
mkg-990	68	93	193yani	193yani	NUM
mkg-990	68	94	:	:	PUNCT
mkg-990	68	95	bootstrap	bootstrap	NOUN
mkg-990	68	96	study	study	NOUN
mkg-990	68	97	to	to	PART
mkg-990	68	98	estimate	estimate	VERB
mkg-990	68	99	linear	linear	ADJ
mkg-990	68	100	ohi	ohi	PROPN
mkg-990	68	101	-	-	PUNCT
mkg-990	68	102	s	s	PROPN
mkg-990	68	103	,	,	PUNCT
mkg-990	68	104	indicating	indicate	VERB
mkg-990	68	105	that	that	SCONJ
mkg-990	68	106	every	every	DET
mkg-990	68	107	increase	increase	NOUN
mkg-990	68	108	of	of	ADP
mkg-990	68	109	one	one	NUM
mkg-990	68	110	ohi	ohi	NOUN
mkg-990	68	111	-	-	PUNCT
mkg-990	68	112	s	s	NOUN
mkg-990	68	113	unit	unit	NOUN
mkg-990	68	114	will	will	AUX
mkg-990	68	115	increase	increase	VERB
mkg-990	68	116	2.02	2.02	NUM
mkg-990	68	117	unit	unit	NOUN
mkg-990	68	118	of	of	ADP
mkg-990	68	119	the	the	DET
mkg-990	68	120	caries	carie	NOUN
mkg-990	68	121	.	.	PUNCT
mkg-990	69	1	linear	linear	ADJ
mkg-990	69	2	regression	regression	NOUN
mkg-990	69	3	analysis	analysis	NOUN
mkg-990	69	4	with	with	ADP
mkg-990	69	5	bootstrap	bootstrap	NOUN
mkg-990	69	6	method	method	NOUN
mkg-990	69	7	requires	require	VERB
mkg-990	69	8	a	a	DET
mkg-990	69	9	longer	long	ADJ
mkg-990	69	10	time	time	NOUN
mkg-990	69	11	,	,	PUNCT
mkg-990	69	12	because	because	SCONJ
mkg-990	69	13	repetition	repetition	NOUN
mkg-990	69	14	will	will	AUX
mkg-990	69	15	be	be	AUX
mkg-990	69	16	done	do	VERB
mkg-990	69	17	until	until	SCONJ
mkg-990	69	18	required	require	VERB
mkg-990	69	19	convergent	convergent	NOUN
mkg-990	69	20	(	(	PUNCT
mkg-990	69	21	constant	constant	ADJ
mkg-990	69	22	)	)	PUNCT
mkg-990	69	23	regression	regression	NOUN
mkg-990	69	24	coefficient	coefficient	NOUN
mkg-990	69	25	and	and	CCONJ
mkg-990	69	26	minimum	minimum	ADJ
mkg-990	69	27	variance	variance	NOUN
mkg-990	69	28	are	be	AUX
mkg-990	69	29	obtained	obtain	VERB
mkg-990	69	30	.	.	PUNCT
mkg-990	70	1	prior	prior	ADV
mkg-990	70	2	to	to	ADP
mkg-990	70	3	performing	perform	VERB
mkg-990	70	4	linear	linear	ADJ
mkg-990	70	5	regression	regression	NOUN
mkg-990	70	6	analysis	analysis	NOUN
mkg-990	70	7	using	use	VERB
mkg-990	70	8	bootstrap	bootstrap	NOUN
mkg-990	70	9	method	method	NOUN
mkg-990	70	10	,	,	PUNCT
mkg-990	70	11	it	it	PRON
mkg-990	70	12	should	should	AUX
mkg-990	70	13	be	be	AUX
mkg-990	70	14	considered	consider	VERB
mkg-990	70	15	first	first	ADV
mkg-990	70	16	that	that	SCONJ
mkg-990	70	17	not	not	PART
mkg-990	70	18	all	all	DET
mkg-990	70	19	data	datum	NOUN
mkg-990	70	20	can	can	AUX
mkg-990	70	21	be	be	AUX
mkg-990	70	22	bootstrapped	bootstrappe	VERB
mkg-990	70	23	.	.	PUNCT
mkg-990	71	1	bootstrap	bootstrap	NOUN
mkg-990	71	2	method	method	NOUN
mkg-990	71	3	is	be	AUX
mkg-990	71	4	used	use	VERB
mkg-990	71	5	only	only	ADV
mkg-990	71	6	in	in	ADP
mkg-990	71	7	highly	highly	ADV
mkg-990	71	8	necessary	necessary	ADJ
mkg-990	71	9	conditions	condition	NOUN
mkg-990	71	10	,	,	PUNCT
mkg-990	71	11	such	such	ADJ
mkg-990	71	12	as	as	ADP
mkg-990	71	13	insufficient	insufficient	ADJ
mkg-990	71	14	(	(	PUNCT
mkg-990	71	15	small	small	ADJ
mkg-990	71	16	)	)	PUNCT
mkg-990	71	17	number	number	NOUN
mkg-990	71	18	of	of	ADP
mkg-990	71	19	samples	sample	NOUN
mkg-990	71	20	,	,	PUNCT
mkg-990	71	21	unknown	unknown	ADJ
mkg-990	71	22	data	datum	NOUN
mkg-990	71	23	distribution	distribution	NOUN
mkg-990	71	24	,	,	PUNCT
mkg-990	71	25	and	and	CCONJ
mkg-990	71	26	in	in	ADP
mkg-990	71	27	the	the	DET
mkg-990	71	28	measurement	measurement	NOUN
mkg-990	71	29	of	of	ADP
mkg-990	71	30	parameter	parameter	PROPN
mkg-990	71	31	estimation	estimation	NOUN
mkg-990	71	32	accuracy	accuracy	NOUN
mkg-990	71	33	.	.	PUNCT
mkg-990	72	1	from	from	ADP
mkg-990	72	2	b	b	X
mkg-990	72	3	=	=	SYM
mkg-990	72	4	10.500	10.500	NUM
mkg-990	72	5	the	the	DET
mkg-990	72	6	convergent	convergent	NOUN
mkg-990	72	7	(	(	PUNCT
mkg-990	72	8	constant	constant	ADJ
mkg-990	72	9	)	)	PUNCT
mkg-990	72	10	regression	regression	NOUN
mkg-990	72	11	parameter	parameter	NOUN
mkg-990	72	12	values	value	NOUN
mkg-990	72	13	(	(	PUNCT
mkg-990	72	14	b0	b0	VERB
mkg-990	72	15	1.90	1.90	NUM
mkg-990	72	16	,	,	PUNCT
mkg-990	72	17	b1	b1	NOUN
mkg-990	72	18	2.02	2.02	NUM
mkg-990	72	19	)	)	PUNCT
mkg-990	72	20	were	be	AUX
mkg-990	72	21	obtained	obtain	VERB
mkg-990	72	22	.	.	PUNCT
mkg-990	73	1	the	the	DET
mkg-990	73	2	estimation	estimation	NOUN
mkg-990	73	3	of	of	ADP
mkg-990	73	4	regression	regression	NOUN
mkg-990	73	5	parameter	parameter	NOUN
mkg-990	73	6	(	(	PUNCT
mkg-990	73	7	b	b	NOUN
mkg-990	73	8	)	)	PUNCT
mkg-990	73	9	was	be	AUX
mkg-990	73	10	obtained	obtain	VERB
mkg-990	73	11	by	by	ADP
mkg-990	73	12	adding	add	VERB
mkg-990	73	13	the	the	DET
mkg-990	73	14	beta	beta	NOUN
mkg-990	73	15	(	(	PUNCT
mkg-990	73	16	b0	b0	NOUN
mkg-990	73	17	,	,	PUNCT
mkg-990	73	18	b1	b1	NOUN
mkg-990	73	19	)	)	PUNCT
mkg-990	73	20	in	in	ADP
mkg-990	73	21	each	each	DET
mkg-990	73	22	resampling	resampling	NOUN
mkg-990	73	23	,	,	PUNCT
mkg-990	73	24	and	and	CCONJ
mkg-990	73	25	divided	divide	VERB
mkg-990	73	26	with	with	ADP
mkg-990	73	27	b	b	NOUN
mkg-990	73	28	value	value	NOUN
mkg-990	73	29	.	.	PUNCT
mkg-990	74	1	thus	thus	ADV
mkg-990	74	2	,	,	PUNCT
mkg-990	74	3	it	it	PRON
mkg-990	74	4	presents	present	VERB
mkg-990	74	5	as	as	SCONJ
mkg-990	74	6	the	the	DET
mkg-990	74	7	mean	mean	NOUN
mkg-990	74	8	of	of	ADP
mkg-990	74	9	beta	beta	ADJ
mkg-990	74	10	estimation	estimation	NOUN
mkg-990	74	11	in	in	ADP
mkg-990	74	12	each	each	DET
mkg-990	74	13	resampling	resample	VERB
mkg-990	74	14	process.7	process.7	NOUN
mkg-990	74	15	there	there	PRON
mkg-990	74	16	was	be	VERB
mkg-990	74	17	no	no	DET
mkg-990	74	18	explanation	explanation	NOUN
mkg-990	74	19	in	in	ADP
mkg-990	74	20	the	the	DET
mkg-990	74	21	literature	literature	NOUN
mkg-990	74	22	that	that	PRON
mkg-990	74	23	determines	determine	VERB
mkg-990	74	24	the	the	DET
mkg-990	74	25	amount	amount	NOUN
mkg-990	74	26	of	of	ADP
mkg-990	74	27	bootstrap	bootstrap	NOUN
mkg-990	74	28	that	that	PRON
mkg-990	74	29	should	should	AUX
mkg-990	74	30	be	be	AUX
mkg-990	74	31	used	use	VERB
mkg-990	74	32	in	in	ADP
mkg-990	74	33	a	a	DET
mkg-990	74	34	study	study	NOUN
mkg-990	74	35	.	.	PUNCT
mkg-990	75	1	it	it	PRON
mkg-990	75	2	is	be	AUX
mkg-990	75	3	apparent	apparent	ADJ
mkg-990	75	4	that	that	SCONJ
mkg-990	75	5	bootstrap	bootstrap	NOUN
mkg-990	75	6	recommended	recommend	VERB
mkg-990	75	7	in	in	ADP
mkg-990	75	8	various	various	ADJ
mkg-990	75	9	literatures	literature	NOUN
mkg-990	75	10	today	today	NOUN
mkg-990	75	11	is	be	AUX
mkg-990	75	12	increasing	increase	VERB
mkg-990	75	13	along	along	ADP
mkg-990	75	14	with	with	ADP
mkg-990	75	15	the	the	DET
mkg-990	75	16	advanced	advanced	ADJ
mkg-990	75	17	capability	capability	NOUN
mkg-990	75	18	in	in	ADP
mkg-990	75	19	computerization	computerization	NOUN
mkg-990	75	20	.	.	PUNCT
mkg-990	76	1	in	in	ADP
mkg-990	76	2	b	b	NOUN
mkg-990	76	3	=	=	SYM
mkg-990	76	4	100,000	100,000	NUM
mkg-990	76	5	in	in	ADP
mkg-990	76	6	an	an	DET
mkg-990	76	7	increase	increase	NOUN
mkg-990	76	8	of	of	ADP
mkg-990	76	9	500	500	NUM
mkg-990	76	10	in	in	ADP
mkg-990	76	11	each	each	DET
mkg-990	76	12	bootstrap	bootstrap	NOUN
mkg-990	76	13	would	would	AUX
mkg-990	76	14	quickly	quickly	ADV
mkg-990	76	15	produce	produce	VERB
mkg-990	76	16	more	more	ADV
mkg-990	76	17	centralized	centralized	ADJ
mkg-990	76	18	(	(	PUNCT
mkg-990	76	19	more	more	ADJ
mkg-990	76	20	convergent	convergent	NOUN
mkg-990	76	21	)	)	PUNCT
mkg-990	76	22	parameter	parameter	NOUN
mkg-990	76	23	.	.	PUNCT
mkg-990	77	1	in	in	ADP
mkg-990	77	2	this	this	DET
mkg-990	77	3	study	study	NOUN
mkg-990	77	4	the	the	DET
mkg-990	77	5	bootstrap	bootstrap	NOUN
mkg-990	77	6	was	be	AUX
mkg-990	77	7	started	start	VERB
mkg-990	77	8	in	in	ADP
mkg-990	77	9	1000.8	1000.8	NUM
mkg-990	77	10	a	a	DET
mkg-990	77	11	general	general	ADJ
mkg-990	77	12	guidelines	guideline	NOUN
mkg-990	77	13	,	,	PUNCT
mkg-990	77	14	b	b	X
mkg-990	77	15	=	=	SYM
mkg-990	77	16	1000	1000	NUM
mkg-990	77	17	is	be	AUX
mkg-990	77	18	the	the	DET
mkg-990	77	19	most	most	ADV
mkg-990	77	20	frequently	frequently	ADV
mkg-990	77	21	used	use	VERB
mkg-990	77	22	bootstrap	bootstrap	NOUN
mkg-990	77	23	for	for	ADP
mkg-990	77	24	the	the	DET
mkg-990	77	25	first	first	ADJ
mkg-990	77	26	bootstrapping	bootstrapping	NOUN
mkg-990	77	27	.	.	PUNCT
mkg-990	78	1	iteration	iteration	NOUN
mkg-990	78	2	was	be	AUX
mkg-990	78	3	performed	perform	VERB
mkg-990	78	4	10	10	NUM
mkg-990	78	5	times	time	NOUN
mkg-990	78	6	to	to	PART
mkg-990	78	7	produce	produce	VERB
mkg-990	78	8	convergent	convergent	NOUN
mkg-990	78	9	(	(	PUNCT
mkg-990	78	10	constant	constant	ADJ
mkg-990	78	11	)	)	PUNCT
mkg-990	78	12	regression	regression	NOUN
mkg-990	78	13	coefficient	coefficient	NOUN
mkg-990	78	14	parameter.9	parameter.9	VERB
mkg-990	78	15	iteration	iteration	NOUN
mkg-990	78	16	process	process	NOUN
mkg-990	78	17	is	be	AUX
mkg-990	78	18	performed	perform	VERB
mkg-990	78	19	until	until	ADP
mkg-990	78	20	obtaining	obtain	VERB
mkg-990	78	21	convergent	convergent	NOUN
mkg-990	78	22	(	(	PUNCT
mkg-990	78	23	constant	constant	ADJ
mkg-990	78	24	)	)	PUNCT
mkg-990	78	25	regression	regression	NOUN
mkg-990	78	26	coefficient	coefficient	NOUN
mkg-990	78	27	parameter.10	parameter.10	NOUN
mkg-990	78	28	in	in	ADP
mkg-990	78	29	b	b	NOUN
mkg-990	78	30	=	=	SYM
mkg-990	78	31	10.500	10.500	NUM
mkg-990	78	32	with	with	ADP
mkg-990	78	33	10	10	NUM
mkg-990	78	34	times	time	NOUN
mkg-990	78	35	iteration	iteration	NOUN
mkg-990	78	36	,	,	PUNCT
mkg-990	78	37	the	the	DET
mkg-990	78	38	least	least	ADJ
mkg-990	78	39	(	(	PUNCT
mkg-990	78	40	minimum	minimum	ADJ
mkg-990	78	41	)	)	PUNCT
mkg-990	78	42	variance	variance	NOUN
mkg-990	78	43	were	be	AUX
mkg-990	78	44	produced	produce	VERB
mkg-990	78	45	,	,	PUNCT
mkg-990	78	46	i.e.	i.e.	X
mkg-990	78	47	,	,	PUNCT
mkg-990	78	48	b0	b0	NOUN
mkg-990	78	49	=	=	SYM
mkg-990	78	50	0.000002072	0.000002072	NUM
mkg-990	78	51	and	and	CCONJ
mkg-990	78	52	b1	b1	NOUN
mkg-990	78	53	=	=	SYM
mkg-990	78	54	0.000002813	0.000002813	NUM
mkg-990	78	55	.	.	PUNCT
mkg-990	79	1	the	the	DET
mkg-990	79	2	more	more	ADV
mkg-990	79	3	convergent	convergent	NOUN
mkg-990	79	4	the	the	DET
mkg-990	79	5	data	datum	NOUN
mkg-990	79	6	,	,	PUNCT
mkg-990	79	7	the	the	PRON
mkg-990	79	8	less	less	ADV
mkg-990	79	9	the	the	DET
mkg-990	79	10	variance	variance	NOUN
mkg-990	79	11	produced	produce	VERB
mkg-990	79	12	.	.	PUNCT
mkg-990	80	1	however	however	ADV
mkg-990	80	2	,	,	PUNCT
mkg-990	80	3	this	this	PRON
mkg-990	80	4	was	be	AUX
mkg-990	80	5	not	not	PART
mkg-990	80	6	supported	support	VERB
mkg-990	80	7	by	by	ADP
mkg-990	80	8	walpole	walpole	PROPN
mkg-990	80	9	and	and	CCONJ
mkg-990	80	10	sudjana11	sudjana11	PROPN
mkg-990	80	11	who	who	PRON
mkg-990	80	12	found	find	VERB
mkg-990	80	13	that	that	SCONJ
mkg-990	80	14	the	the	DET
mkg-990	80	15	best	good	ADJ
mkg-990	80	16	estimator	estimator	NOUN
mkg-990	80	17	was	be	AUX
mkg-990	80	18	the	the	DET
mkg-990	80	19	one	one	NOUN
mkg-990	80	20	with	with	ADP
mkg-990	80	21	minimum	minimum	ADJ
mkg-990	80	22	variance	variance	NOUN
mkg-990	80	23	(	(	PUNCT
mkg-990	80	24	estimator	estimator	NOUN
mkg-990	80	25	with	with	ADP
mkg-990	80	26	the	the	DET
mkg-990	80	27	least	least	ADJ
mkg-990	80	28	variance	variance	NOUN
mkg-990	80	29	among	among	ADP
mkg-990	80	30	all	all	DET
mkg-990	80	31	other	other	ADJ
mkg-990	80	32	estimators	estimator	NOUN
mkg-990	80	33	for	for	ADP
mkg-990	80	34	the	the	DET
mkg-990	80	35	same	same	ADJ
mkg-990	80	36	parameter).12	parameter).12	X
mkg-990	80	37	ohi	ohi	PROPN
mkg-990	80	38	-	-	PUNCT
mkg-990	80	39	s	s	NOUN
mkg-990	80	40	variable	variable	NOUN
mkg-990	80	41	has	have	VERB
mkg-990	80	42	effect	effect	NOUN
mkg-990	80	43	on	on	ADP
mkg-990	80	44	dental	dental	ADJ
mkg-990	80	45	caries	carie	NOUN
mkg-990	80	46	(	(	PUNCT
mkg-990	80	47	p	p	NOUN
mkg-990	80	48	-	-	PUNCT
mkg-990	80	49	value	value	NOUN
mkg-990	80	50	=	=	NOUN
mkg-990	80	51	0.000	0.000	NUM
mkg-990	80	52	)	)	PUNCT
mkg-990	80	53	.	.	PUNCT
mkg-990	81	1	poor	poor	ADJ
mkg-990	81	2	dental	dental	ADJ
mkg-990	81	3	hygiene	hygiene	NOUN
mkg-990	81	4	is	be	AUX
mkg-990	81	5	one	one	NUM
mkg-990	81	6	cause	cause	NOUN
mkg-990	81	7	of	of	ADP
mkg-990	81	8	dental	dental	ADJ
mkg-990	81	9	caries	carie	NOUN
mkg-990	81	10	,	,	PUNCT
mkg-990	81	11	either	either	CCONJ
mkg-990	81	12	milk	milk	NOUN
mkg-990	81	13	or	or	CCONJ
mkg-990	81	14	permanent	permanent	ADJ
mkg-990	81	15	teeth	tooth	NOUN
mkg-990	81	16	,	,	PUNCT
mkg-990	81	17	particularly	particularly	ADV
mkg-990	81	18	in	in	ADP
mkg-990	81	19	children	child	NOUN
mkg-990	81	20	who	who	PRON
mkg-990	81	21	are	be	AUX
mkg-990	81	22	mostly	mostly	ADV
mkg-990	81	23	unable	unable	ADJ
mkg-990	81	24	to	to	PART
mkg-990	81	25	brush	brush	VERB
mkg-990	81	26	their	their	PRON
mkg-990	81	27	teeth	tooth	NOUN
mkg-990	81	28	appropriately	appropriately	ADV
mkg-990	81	29	.	.	PUNCT
mkg-990	82	1	the	the	PRON
mkg-990	82	2	better	well	ADJ
mkg-990	82	3	the	the	DET
mkg-990	82	4	oral	oral	ADJ
mkg-990	82	5	hygiene	hygiene	NOUN
mkg-990	82	6	,	,	PUNCT
mkg-990	82	7	the	the	PRON
mkg-990	82	8	lower	low	ADJ
mkg-990	82	9	the	the	DET
mkg-990	82	10	severity	severity	NOUN
mkg-990	82	11	of	of	ADP
mkg-990	82	12	the	the	DET
mkg-990	82	13	caries	carie	NOUN
mkg-990	82	14	.	.	PUNCT
mkg-990	83	1	in	in	ADP
mkg-990	83	2	contrast	contrast	NOUN
mkg-990	83	3	,	,	PUNCT
mkg-990	83	4	the	the	PRON
mkg-990	83	5	worse	bad	ADJ
mkg-990	83	6	the	the	DET
mkg-990	83	7	oral	oral	ADJ
mkg-990	83	8	hygiene	hygiene	NOUN
mkg-990	83	9	,	,	PUNCT
mkg-990	83	10	the	the	PRON
mkg-990	83	11	higher	high	ADJ
mkg-990	83	12	the	the	DET
mkg-990	83	13	severity	severity	NOUN
mkg-990	83	14	of	of	ADP
mkg-990	83	15	the	the	DET
mkg-990	83	16	caries	carie	NOUN
mkg-990	83	17	.	.	PUNCT
mkg-990	84	1	this	this	PRON
mkg-990	84	2	confirms	confirm	VERB
mkg-990	84	3	the	the	DET
mkg-990	84	4	assumption	assumption	NOUN
mkg-990	84	5	that	that	SCONJ
mkg-990	84	6	oral	oral	ADJ
mkg-990	84	7	hygiene	hygiene	NOUN
mkg-990	84	8	is	be	AUX
mkg-990	84	9	one	one	NUM
mkg-990	84	10	of	of	ADP
mkg-990	84	11	the	the	DET
mkg-990	84	12	factors	factor	NOUN
mkg-990	84	13	that	that	PRON
mkg-990	84	14	influence	influence	VERB
mkg-990	84	15	dental	dental	ADJ
mkg-990	84	16	caries	carie	NOUN
mkg-990	84	17	.	.	PUNCT
mkg-990	85	1	the	the	DET
mkg-990	85	2	prevalence	prevalence	NOUN
mkg-990	85	3	of	of	ADP
mkg-990	85	4	dental	dental	ADJ
mkg-990	85	5	caries	carie	NOUN
mkg-990	85	6	increased	increase	VERB
mkg-990	85	7	in	in	ADP
mkg-990	85	8	children	child	NOUN
mkg-990	85	9	with	with	ADP
mkg-990	85	10	poor	poor	ADJ
mkg-990	85	11	dental	dental	ADJ
mkg-990	85	12	hygiene	hygiene	NOUN
mkg-990	85	13	compared	compare	VERB
mkg-990	85	14	to	to	ADP
mkg-990	85	15	those	those	PRON
mkg-990	85	16	with	with	ADP
mkg-990	85	17	good	good	ADJ
mkg-990	85	18	dental	dental	ADJ
mkg-990	85	19	hygiene.13	hygiene.13	NOUN
mkg-990	85	20	there	there	PRON
mkg-990	85	21	was	be	VERB
mkg-990	85	22	a	a	DET
mkg-990	85	23	strong	strong	ADJ
mkg-990	85	24	correlation	correlation	NOUN
mkg-990	85	25	between	between	ADP
mkg-990	85	26	poor	poor	ADJ
mkg-990	85	27	oral	oral	ADJ
mkg-990	85	28	hygiene	hygiene	NOUN
mkg-990	85	29	,	,	PUNCT
mkg-990	85	30	the	the	DET
mkg-990	85	31	presence	presence	NOUN
mkg-990	85	32	of	of	ADP
mkg-990	85	33	plaque	plaque	NOUN
mkg-990	85	34	,	,	PUNCT
mkg-990	85	35	and	and	CCONJ
mkg-990	85	36	the	the	DET
mkg-990	85	37	prevalence	prevalence	NOUN
mkg-990	85	38	and	and	CCONJ
mkg-990	85	39	severity	severity	NOUN
mkg-990	85	40	of	of	ADP
mkg-990	85	41	periodontal	periodontal	ADJ
mkg-990	85	42	diseases	disease	NOUN
mkg-990	85	43	and	and	CCONJ
mkg-990	85	44	dental	dental	ADJ
mkg-990	85	45	caries.14	caries.14	NOUN
mkg-990	85	46	regression	regression	NOUN
mkg-990	85	47	equation	equation	NOUN
mkg-990	85	48	produced	produce	VERB
mkg-990	85	49	by	by	ADP
mkg-990	85	50	using	use	VERB
mkg-990	85	51	simple	simple	ADJ
mkg-990	85	52	linear	linear	ADJ
mkg-990	85	53	regression	regression	NOUN
mkg-990	85	54	is	be	AUX
mkg-990	85	55	not	not	PART
mkg-990	85	56	far	far	ADV
mkg-990	85	57	different	different	ADJ
mkg-990	85	58	from	from	ADP
mkg-990	85	59	bootstrap	bootstrap	NOUN
mkg-990	85	60	method	method	NOUN
mkg-990	85	61	with	with	ADP
mkg-990	85	62	b	b	NOUN
mkg-990	85	63	=	=	SYM
mkg-990	85	64	10,500	10,500	NUM
mkg-990	85	65	and	and	CCONJ
mkg-990	85	66	10	10	NUM
mkg-990	85	67	times	time	NOUN
mkg-990	85	68	iteration	iteration	NOUN
mkg-990	85	69	.	.	PUNCT
mkg-990	86	1	linear	linear	ADJ
mkg-990	86	2	regression	regression	NOUN
mkg-990	86	3	analysis	analysis	NOUN
mkg-990	86	4	with	with	ADP
mkg-990	86	5	the	the	DET
mkg-990	86	6	data	datum	NOUN
mkg-990	86	7	resulting	result	VERB
mkg-990	86	8	from	from	ADP
mkg-990	86	9	bootstrap	bootstrap	NOUN
mkg-990	86	10	should	should	AUX
mkg-990	86	11	be	be	AUX
mkg-990	86	12	employed	employ	VERB
mkg-990	86	13	in	in	ADP
mkg-990	86	14	highly	highly	ADV
mkg-990	86	15	required	require	VERB
mkg-990	86	16	conditions	condition	NOUN
mkg-990	86	17	,	,	PUNCT
mkg-990	86	18	such	such	ADJ
mkg-990	86	19	as	as	ADP
mkg-990	86	20	insufficient	insufficient	ADJ
mkg-990	86	21	(	(	PUNCT
mkg-990	86	22	small	small	ADJ
mkg-990	86	23	)	)	PUNCT
mkg-990	86	24	number	number	NOUN
mkg-990	86	25	of	of	ADP
mkg-990	86	26	samples	sample	NOUN
mkg-990	86	27	,	,	PUNCT
mkg-990	86	28	unknown	unknown	ADJ
mkg-990	86	29	data	datum	NOUN
mkg-990	86	30	distribution	distribution	NOUN
mkg-990	86	31	,	,	PUNCT
mkg-990	86	32	and	and	CCONJ
mkg-990	86	33	in	in	ADP
mkg-990	86	34	the	the	DET
mkg-990	86	35	measurement	measurement	NOUN
mkg-990	86	36	of	of	ADP
mkg-990	86	37	parameter	parameter	PROPN
mkg-990	86	38	estimation	estimation	NOUN
mkg-990	86	39	accuracy	accuracy	NOUN
mkg-990	86	40	.	.	PUNCT
mkg-990	87	1	references	reference	NOUN
mkg-990	87	2	1	1	NUM
mkg-990	87	3	.	.	PUNCT
mkg-990	87	4	longini	longini	PROPN
mkg-990	87	5	,	,	PUNCT
mkg-990	87	6	halloran	halloran	ADJ
mkg-990	87	7	a.	a.	NOUN
mkg-990	87	8	resampling	resampling	NOUN
mkg-990	87	9	-	-	PUNCT
mkg-990	87	10	based	base	VERB
mkg-990	87	11	test	test	NOUN
mkg-990	87	12	to	to	PART
mkg-990	87	13	detect	detect	VERB
mkg-990	87	14	person	person	NOUN
mkg-990	87	15	to	to	ADP
mkg-990	87	16	person	person	NOUN
mkg-990	87	17	transmission	transmission	NOUN
mkg-990	87	18	of	of	ADP
mkg-990	87	19	infectious	infectious	ADJ
mkg-990	87	20	disease	disease	NOUN
mkg-990	87	21	.	.	PUNCT
mkg-990	88	1	journal	journal	NOUN
mkg-990	88	2	of	of	ADP
mkg-990	88	3	the	the	DET
mkg-990	88	4	annals	annal	NOUN
mkg-990	88	5	of	of	ADP
mkg-990	88	6	applied	apply	VERB
mkg-990	88	7	statistics	statistic	NOUN
mkg-990	88	8	2007	2007	NUM
mkg-990	88	9	;	;	PUNCT
mkg-990	88	10	1(1	1(1	NUM
mkg-990	88	11	)	)	PUNCT
mkg-990	88	12	.	.	PUNCT
mkg-990	89	1	available	available	ADJ
mkg-990	89	2	at	at	ADP
mkg-990	89	3	:	:	PUNCT
mkg-990	89	4	http://www.litbang.depkes.go.id/	http://www.litbang.depkes.go.id/	PROPN
mkg-990	89	5	download	download	NOUN
mkg-990	89	6	/	/	SYM
mkg-990	89	7	artikel	artikel	PROPN
mkg-990	89	8	/	/	SYM
mkg-990	89	9	artikel	artikel	NOUN
mkg-990	89	10	-	-	PUNCT
mkg-990	89	11	ai	ai	PROPN
mkg-990	89	12	/	/	SYM
mkg-990	89	13	article	article	NOUN
mkg-990	89	14	-	-	PUNCT
mkg-990	89	15	ai	ai	NOUN
mkg-990	89	16	-	-	PUNCT
mkg-990	89	17	statistics-2007.pdf	statistics-2007.pdf	NOUN
mkg-990	89	18	.	.	PUNCT
mkg-990	90	1	accessed	access	VERB
mkg-990	90	2	february	february	PROPN
mkg-990	90	3	22	22	NUM
mkg-990	90	4	,	,	PUNCT
mkg-990	90	5	2008	2008	NUM
mkg-990	90	6	.	.	PUNCT
mkg-990	91	1	2	2	X
mkg-990	91	2	.	.	X
mkg-990	91	3	efron	efron	PROPN
mkg-990	91	4	b	b	PROPN
mkg-990	91	5	,	,	PUNCT
mkg-990	91	6	thibshirani	thibshirani	PROPN
mkg-990	91	7	rj	rj	PROPN
mkg-990	91	8	.	.	PUNCT
mkg-990	92	1	an	an	DET
mkg-990	92	2	introduction	introduction	NOUN
mkg-990	92	3	to	to	ADP
mkg-990	92	4	the	the	DET
mkg-990	92	5	bootstrap	bootstrap	NOUN
mkg-990	92	6	.	.	PUNCT
mkg-990	93	1	new	new	PROPN
mkg-990	93	2	york	york	PROPN
mkg-990	93	3	:	:	PUNCT
mkg-990	94	1	chapman	chapman	NOUN
mkg-990	94	2	and	and	CCONJ
mkg-990	94	3	hall	hall	PROPN
mkg-990	94	4	;	;	PUNCT
mkg-990	94	5	1993	1993	NUM
mkg-990	94	6	.	.	PUNCT
mkg-990	95	1	p.	p.	NOUN
mkg-990	95	2	5	5	NUM
mkg-990	95	3	,	,	PUNCT
mkg-990	95	4	6	6	NUM
mkg-990	95	5	,	,	PUNCT
mkg-990	95	6	10	10	NUM
mkg-990	95	7	.	.	NOUN
mkg-990	96	1	3	3	NUM
mkg-990	96	2	.	.	X
mkg-990	96	3	djarwanto	djarwanto	PROPN
mkg-990	96	4	.	.	PUNCT
mkg-990	97	1	mengenal	mengenal	ADJ
mkg-990	97	2	beberapa	beberapa	PROPN
mkg-990	97	3	uji	uji	PROPN
mkg-990	97	4	statistika	statistika	PROPN
mkg-990	97	5	dalam	dalam	PROPN
mkg-990	97	6	penelitian	penelitian	PROPN
mkg-990	97	7	.	.	PUNCT
mkg-990	98	1	yogjakarta	yogjakarta	PROPN
mkg-990	98	2	:	:	PUNCT
mkg-990	99	1	liberty	liberty	NOUN
mkg-990	99	2	;	;	PUNCT
mkg-990	99	3	1996	1996	NUM
mkg-990	99	4	.	.	PUNCT
mkg-990	100	1	p.	p.	NOUN
mkg-990	100	2	175–6	175–6	NUM
mkg-990	100	3	.	.	PROPN
mkg-990	100	4	4	4	NUM
mkg-990	100	5	.	.	X
mkg-990	100	6	neuman	neuman	PROPN
mkg-990	100	7	w.	w.	PROPN
mkg-990	100	8	lawrence	lawrence	PROPN
mkg-990	100	9	,	,	PUNCT
mkg-990	100	10	social	social	ADJ
mkg-990	100	11	research	research	NOUN
mkg-990	100	12	methods	method	NOUN
mkg-990	100	13	qualitative	qualitative	VERB
mkg-990	100	14	and	and	CCONJ
mkg-990	100	15	quantitative	quantitative	ADJ
mkg-990	100	16	approach	approach	NOUN
mkg-990	100	17	.	.	PUNCT
mkg-990	101	1	6th	6th	ADJ
mkg-990	101	2	ed	ed	NOUN
mkg-990	101	3	.	.	PUNCT
mkg-990	101	4	boston	boston	PROPN
mkg-990	101	5	:	:	PUNCT
mkg-990	101	6	pearson	pearson	PROPN
mkg-990	101	7	;	;	PUNCT
mkg-990	101	8	2006	2006	NUM
mkg-990	101	9	.	.	PUNCT
mkg-990	102	1	p.	p.	NOUN
mkg-990	102	2	17	17	NUM
mkg-990	102	3	.	.	PUNCT
mkg-990	103	1	5	5	NUM
mkg-990	103	2	.	.	X
mkg-990	103	3	handayani	handayani	PROPN
mkg-990	103	4	atw	atw	PROPN
mkg-990	103	5	.	.	PUNCT
mkg-990	104	1	erupsi	erupsi	PROPN
mkg-990	104	2	gigi	gigi	PROPN
mkg-990	104	3	permanen	permanen	PROPN
mkg-990	105	1	dan	dan	PROPN
mkg-990	105	2	kesehatan	kesehatan	PROPN
mkg-990	105	3	rongga	rongga	PROPN
mkg-990	105	4	mulut	mulut	PROPN
mkg-990	105	5	pada	pada	PROPN
mkg-990	105	6	anak	anak	PROPN
mkg-990	105	7	sekolah	sekolah	PROPN
mkg-990	105	8	dasar	dasar	PROPN
mkg-990	105	9	di	di	PROPN
mkg-990	105	10	daerah	daerah	PROPN
mkg-990	105	11	endemik	endemik	PROPN
mkg-990	105	12	gondok	gondok	PROPN
mkg-990	105	13	kabupaten	kabupaten	PROPN
mkg-990	105	14	jember	jember	PROPN
mkg-990	105	15	.	.	PUNCT
mkg-990	106	1	tesis	tesis	PROPN
mkg-990	106	2	.	.	PUNCT
mkg-990	107	1	surabaya	surabaya	PROPN
mkg-990	107	2	:	:	PUNCT
mkg-990	107	3	fakultas	fakulta	VERB
mkg-990	107	4	kesehatan	kesehatan	PROPN
mkg-990	107	5	masyarakat	masyarakat	PROPN
mkg-990	107	6	universitas	universitas	PROPN
mkg-990	107	7	airlangga	airlangga	PROPN
mkg-990	107	8	;	;	PUNCT
mkg-990	107	9	2007	2007	NUM
mkg-990	107	10	.	.	PUNCT
mkg-990	108	1	p.	p.	NOUN
mkg-990	108	2	48–63	48–63	NUM
mkg-990	108	3	.	.	PUNCT
mkg-990	109	1	6	6	NUM
mkg-990	109	2	.	.	X
mkg-990	109	3	atmono	atmono	PROPN
mkg-990	109	4	d.	d.	PROPN
mkg-990	109	5	manajemen	manajemen	PROPN
mkg-990	109	6	data	data	PROPN
mkg-990	109	7	.	.	PUNCT
mkg-990	110	1	surabaya	surabaya	PROPN
mkg-990	110	2	:	:	PUNCT
mkg-990	110	3	institut	institut	PROPN
mkg-990	110	4	sepuluh	sepuluh	PROPN
mkg-990	110	5	nopember	nopember	PROPN
mkg-990	110	6	;	;	PUNCT
mkg-990	110	7	2005	2005	NUM
mkg-990	110	8	.	.	PUNCT
mkg-990	111	1	p.	p.	NOUN
mkg-990	111	2	48	48	NUM
mkg-990	111	3	.	.	PUNCT
mkg-990	112	1	7	7	X
mkg-990	112	2	.	.	X
mkg-990	112	3	sahinler	sahinler	NOUN
mkg-990	112	4	,	,	PUNCT
mkg-990	112	5	topuz	topuz	PROPN
mkg-990	112	6	.	.	PUNCT
mkg-990	113	1	bootstrap	bootstrap	NOUN
mkg-990	113	2	and	and	CCONJ
mkg-990	113	3	jackknife	jackknife	NOUN
mkg-990	113	4	resampling	resample	VERB
mkg-990	113	5	algorithms	algorithm	NOUN
mkg-990	113	6	for	for	ADP
mkg-990	113	7	estimation	estimation	NOUN
mkg-990	113	8	of	of	ADP
mkg-990	113	9	regression	regression	NOUN
mkg-990	113	10	parameters	parameter	NOUN
mkg-990	113	11	.	.	PUNCT
mkg-990	114	1	journal	journal	PROPN
mkg-990	114	2	of	of	ADP
mkg-990	114	3	applied	apply	VERB
mkg-990	114	4	quantitative	quantitative	ADJ
mkg-990	114	5	methods	method	NOUN
mkg-990	114	6	2007	2007	NUM
mkg-990	114	7	;	;	PUNCT
mkg-990	114	8	2(2	2(2	NUM
mkg-990	114	9	)	)	PUNCT
mkg-990	114	10	.	.	PUNCT
mkg-990	115	1	available	available	ADJ
mkg-990	115	2	at	at	ADP
mkg-990	115	3	:	:	PUNCT
mkg-990	115	4	http://jaqm.ro/issues/volume2,issue-2/pdfs/sahinler_topuz.pdf	http://jaqm.ro/issues/volume2,issue-2/pdfs/sahinler_topuz.pdf	PRON
mkg-990	115	5	.	.	PUNCT
mkg-990	115	6	accessed	access	VERB
mkg-990	115	7	february	february	PROPN
mkg-990	115	8	22	22	NUM
mkg-990	115	9	,	,	PUNCT
mkg-990	115	10	2008	2008	NUM
mkg-990	115	11	.	.	PUNCT
mkg-990	116	1	8	8	X
mkg-990	116	2	.	.	X
mkg-990	116	3	lange	lange	PROPN
mkg-990	116	4	k.	k.	PROPN
mkg-990	116	5	statistics	statistics	PROPN
mkg-990	116	6	and	and	CCONJ
mkg-990	116	7	computing	computing	PROPN
mkg-990	116	8	,	,	PUNCT
mkg-990	116	9	numerical	numerical	ADJ
mkg-990	116	10	analysis	analysis	NOUN
mkg-990	116	11	for	for	ADP
mkg-990	116	12	statisticians	statistician	NOUN
mkg-990	116	13	.	.	PUNCT
mkg-990	117	1	new	new	PROPN
mkg-990	117	2	york	york	PROPN
mkg-990	117	3	:	:	PUNCT
mkg-990	117	4	springer	springer	NOUN
mkg-990	117	5	;	;	PUNCT
mkg-990	117	6	1999	1999	NUM
mkg-990	117	7	.	.	PUNCT
mkg-990	118	1	p.	p.	NOUN
mkg-990	118	2	309–10	309–10	NUM
mkg-990	118	3	.	.	PROPN
mkg-990	119	1	9	9	NUM
mkg-990	119	2	.	.	X
mkg-990	119	3	anonim	anonim	PROPN
mkg-990	119	4	.	.	PUNCT
mkg-990	120	1	bootstrapping	bootstrappe	VERB
mkg-990	120	2	(	(	PUNCT
mkg-990	120	3	statistics	statistic	NOUN
mkg-990	120	4	)	)	PUNCT
mkg-990	120	5	.	.	PUNCT
mkg-990	121	1	available	available	ADJ
mkg-990	121	2	at	at	ADP
mkg-990	121	3	:	:	PUNCT
mkg-990	121	4	http://en.wikipedia	http://en.wikipedia	PROPN
mkg-990	121	5	.	.	PUNCT
mkg-990	122	1	org	org	ADJ
mkg-990	122	2	/	/	SYM
mkg-990	122	3	wiki	wiki	NOUN
mkg-990	122	4	/	/	SYM
mkg-990	122	5	bootstrapping_(statistics	bootstrapping_(statistics	NUM
mkg-990	122	6	)	)	PUNCT
mkg-990	122	7	.	.	PUNCT
mkg-990	123	1	accessed	access	VERB
mkg-990	123	2	may	may	PROPN
mkg-990	123	3	15	15	NUM
mkg-990	123	4	,	,	PUNCT
mkg-990	123	5	2008	2008	NUM
mkg-990	123	6	.	.	PUNCT
mkg-990	124	1	10	10	NUM
mkg-990	124	2	.	.	PUNCT
mkg-990	124	3	atkinson	atkinson	PROPN
mkg-990	124	4	k.	k.	PROPN
mkg-990	124	5	elementary	elementary	PROPN
mkg-990	124	6	numerical	numerical	PROPN
mkg-990	124	7	analysis	analysis	PROPN
mkg-990	124	8	.	.	PUNCT
mkg-990	125	1	new	new	PROPN
mkg-990	125	2	york	york	PROPN
mkg-990	125	3	:	:	PUNCT
mkg-990	125	4	john	john	PROPN
mkg-990	125	5	wiley	wiley	PROPN
mkg-990	125	6	&	&	CCONJ
mkg-990	125	7	sons	son	NOUN
mkg-990	125	8	;	;	PUNCT
mkg-990	125	9	1985	1985	NUM
mkg-990	125	10	.	.	PUNCT
mkg-990	126	1	p.	p.	NOUN
mkg-990	126	2	17–9	17–9	NUM
mkg-990	126	3	.	.	PUNCT
mkg-990	127	1	11	11	NUM
mkg-990	127	2	.	.	PUNCT
mkg-990	128	1	sudjana	sudjana	PROPN
mkg-990	128	2	.	.	PUNCT
mkg-990	129	1	metoda	metoda	PROPN
mkg-990	129	2	statistika	statistika	PROPN
mkg-990	129	3	.	.	PUNCT
mkg-990	130	1	bandung	bandung	PROPN
mkg-990	130	2	:	:	PUNCT
mkg-990	130	3	penerbit	penerbit	NOUN
mkg-990	130	4	tarsito	tarsito	NOUN
mkg-990	130	5	;	;	PUNCT
mkg-990	130	6	1996	1996	NUM
mkg-990	130	7	.	.	PUNCT
mkg-990	131	1	p.	p.	NOUN
mkg-990	131	2	198–9	198–9	NUM
mkg-990	131	3	.	.	PROPN
mkg-990	131	4	12	12	NUM
mkg-990	131	5	.	.	PUNCT
mkg-990	132	1	ronald	ronald	PROPN
mkg-990	132	2	we	we	PRON
mkg-990	132	3	,	,	PUNCT
mkg-990	132	4	raymond	raymond	PROPN
mkg-990	132	5	mh	mh	PROPN
mkg-990	132	6	.	.	PROPN
mkg-990	133	1	ilmu	ilmu	PROPN
mkg-990	133	2	peluang	peluang	PROPN
mkg-990	133	3	dan	dan	PROPN
mkg-990	133	4	statistik	statistik	PROPN
mkg-990	133	5	untuk	untuk	PROPN
mkg-990	133	6	insinyur	insinyur	PROPN
mkg-990	133	7	dan	dan	PROPN
mkg-990	133	8	ilmuwan	ilmuwan	PROPN
mkg-990	133	9	.	.	PUNCT
mkg-990	134	1	edisi	edisi	VERB
mkg-990	134	2	keempat	keempat	PROPN
mkg-990	134	3	.	.	PUNCT
mkg-990	135	1	bandung	bandung	NOUN
mkg-990	135	2	:	:	PUNCT
mkg-990	135	3	itb	itb	NOUN
mkg-990	135	4	;	;	PUNCT
mkg-990	135	5	1995	1995	NUM
mkg-990	135	6	.	.	PUNCT
mkg-990	136	1	p.	p.	NOUN
mkg-990	136	2	363–4	363–4	NUM
mkg-990	136	3	.	.	PUNCT
mkg-990	137	1	13	13	NUM
mkg-990	137	2	.	.	PUNCT
mkg-990	138	1	kuntari	kuntari	PROPN
mkg-990	138	2	s.	s.	PROPN
mkg-990	138	3	hubungan	hubungan	PROPN
mkg-990	138	4	antara	antara	PROPN
mkg-990	138	5	kebersihan	kebersihan	PROPN
mkg-990	138	6	gigi	gigi	PROPN
mkg-990	138	7	dan	dan	PROPN
mkg-990	138	8	karies	karies	PROPN
mkg-990	138	9	gigi	gigi	PROPN
mkg-990	138	10	pada	pada	PROPN
mkg-990	138	11	anak	anak	PROPN
mkg-990	138	12	usia	usia	PROPN
mkg-990	138	13	4–6	4–6	PROPN
mkg-990	138	14	tahun	tahun	PROPN
mkg-990	138	15	di	di	PROPN
mkg-990	138	16	kotamadya	kotamadya	PROPN
mkg-990	138	17	surabaya	surabaya	PROPN
mkg-990	138	18	.	.	PUNCT
mkg-990	139	1	majalah	majalah	PROPN
mkg-990	139	2	kedokteran	kedokteran	PROPN
mkg-990	139	3	gigi	gigi	PROPN
mkg-990	139	4	1996	1996	NUM
mkg-990	139	5	;	;	PUNCT
mkg-990	139	6	29(1	29(1	NUM
mkg-990	139	7	):	):	PUNCT
mkg-990	140	1	13–5	13–5	PROPN
mkg-990	140	2	.	.	PROPN
mkg-990	141	1	14	14	NUM
mkg-990	141	2	.	.	PUNCT
mkg-990	141	3	boedihardjo	boedihardjo	PROPN
mkg-990	141	4	.	.	PUNCT
mkg-990	142	1	hubungan	hubungan	PROPN
mkg-990	142	2	antara	antara	PROPN
mkg-990	142	3	kerusakan	kerusakan	PROPN
mkg-990	142	4	jaringan	jaringan	PROPN
mkg-990	142	5	periodontal	periodontal	PROPN
mkg-990	142	6	yang	yang	PROPN
mkg-990	142	7	disebabkan	disebabkan	PROPN
mkg-990	142	8	oleh	oleh	PROPN
mkg-990	142	9	plak	plak	PROPN
mkg-990	142	10	dengan	dengan	PROPN
mkg-990	142	11	kebetuhan	kebetuhan	PROPN
mkg-990	142	12	perawatan	perawatan	PROPN
mkg-990	142	13	periodontal	periodontal	PROPN
mkg-990	142	14	.	.	PUNCT
mkg-990	142	15	disertation	disertation	PROPN
mkg-990	142	16	.	.	PUNCT
mkg-990	143	1	surabaya	surabaya	PROPN
mkg-990	143	2	.	.	PUNCT
mkg-990	144	1	1996	1996	NUM
mkg-990	144	2	.	.	PUNCT
mkg-990	145	1	p.	p.	NOUN
mkg-990	145	2	25–32	25–32	NUM
mkg-990	145	3	.	.	PUNCT
mkg-990	146	1	<	<	X
mkg-990	146	2	<	<	X
mkg-990	146	3	/ascii85encodepages	/ascii85encodepage	NOUN
mkg-990	146	4	false	false	ADJ
mkg-990	146	5	/allowtransparency	/allowtransparency	NOUN
mkg-990	146	6	false	false	ADJ
mkg-990	146	7	/autopositionepsfiles	/autopositionepsfile	NOUN
mkg-990	146	8	true	true	ADJ
mkg-990	146	9	/autorotatepages	/autorotatepage	NOUN
mkg-990	146	10	/all	/all	PUNCT
mkg-990	146	11	/binding	/binding	NOUN
mkg-990	146	12	/left	/left	ADJ
mkg-990	146	13	/calgrayprofile	/calgrayprofile	VERB
mkg-990	146	14	(	(	PUNCT
mkg-990	146	15	dot	dot	NOUN
mkg-990	146	16	gain	gain	NOUN
mkg-990	146	17	20	20	NUM
mkg-990	146	18	%	%	NOUN
mkg-990	146	19	)	)	PUNCT
mkg-990	146	20	/calrgbprofile	/calrgbprofile	PUNCT
mkg-990	147	1	(	(	PUNCT
mkg-990	147	2	srgb	srgb	PROPN
mkg-990	147	3	iec61966	iec61966	NOUN
mkg-990	147	4	-	-	PUNCT
mkg-990	147	5	2.1	2.1	NUM
mkg-990	147	6	)	)	PUNCT
mkg-990	147	7	/calcmykprofile	/calcmykprofile	PUNCT
mkg-990	148	1	(	(	PUNCT
mkg-990	148	2	u.s	u.s	PROPN
mkg-990	148	3	.	.	PROPN
mkg-990	148	4	web	web	NOUN
mkg-990	148	5	coated	coat	VERB
mkg-990	148	6	\050swop\051	\050swop\051	ADJ
mkg-990	148	7	v2	v2	NOUN
mkg-990	148	8	)	)	PUNCT
mkg-990	148	9	/srgbprofile	/srgbprofile	PUNCT
mkg-990	148	10	(	(	PUNCT
mkg-990	148	11	srgb	srgb	PROPN
mkg-990	148	12	iec61966	iec61966	NOUN
mkg-990	148	13	-	-	PUNCT
mkg-990	148	14	2.1	2.1	NUM
mkg-990	148	15	)	)	PUNCT
mkg-990	148	16	/cannotembedfontpolicy	/cannotembedfontpolicy	NOUN
mkg-990	149	1	/warning	/warne	VERB
mkg-990	149	2	/compatibilitylevel	/compatibilitylevel	NOUN
mkg-990	149	3	1.4	1.4	NUM
mkg-990	149	4	/compressobjects	/compressobject	NOUN
mkg-990	150	1	/tags	/tag	VERB
mkg-990	150	2	/compresspages	/compresspage	NOUN
mkg-990	150	3	true	true	ADJ
mkg-990	150	4	/convertimagestoindexed	/convertimagestoindexed	ADJ
mkg-990	150	5	true	true	ADJ
mkg-990	150	6	/passthroughjpegimages	/passthroughjpegimage	NOUN
mkg-990	150	7	true	true	ADJ
mkg-990	150	8	/createjdffile	/createjdffile	ADJ
mkg-990	150	9	false	false	ADJ
mkg-990	150	10	/createjobticket	/createjobticket	NOUN
mkg-990	150	11	false	false	ADJ
mkg-990	150	12	/defaultrenderingintent	/defaultrenderingintent	NOUN
mkg-990	150	13	/default	/default	PUNCT
mkg-990	150	14	/detectblends	/detectblend	NOUN
mkg-990	150	15	true	true	ADJ
mkg-990	150	16	/detectcurves	/detectcurve	NOUN
mkg-990	150	17	0.0000	0.0000	NUM
mkg-990	150	18	/colorconversionstrategy	/colorconversionstrategy	NOUN
mkg-990	150	19	/leavecolorunchanged	/leavecolorunchange	VERB
mkg-990	150	20	/dothumbnails	/dothumbnail	VERB
mkg-990	151	1	false	false	ADJ
mkg-990	151	2	/embedallfonts	/embedallfont	NOUN
mkg-990	151	3	true	true	ADJ
mkg-990	151	4	/embedopentype	/embedopentype	PUNCT
mkg-990	151	5	false	false	ADJ
mkg-990	151	6	/parseiccprofilesincomments	/parseiccprofilesincomment	NOUN
mkg-990	151	7	true	true	ADJ
mkg-990	151	8	/embedjoboptions	/embedjoboption	NOUN
mkg-990	151	9	true	true	ADJ
mkg-990	151	10	/dscreportinglevel	/dscreportinglevel	NOUN
mkg-990	151	11	0	0	NUM
mkg-990	151	12	/emitdscwarnings	/emitdscwarning	NOUN
mkg-990	151	13	false	false	ADJ
mkg-990	151	14	/endpage	/endpage	NOUN
mkg-990	151	15	-1	-1	NOUN
mkg-990	151	16	/imagememory	/imagememory	NUM
mkg-990	151	17	1048576	1048576	NUM
mkg-990	151	18	/lockdistillerparams	/lockdistillerparams	NOUN
mkg-990	151	19	false	false	ADJ
mkg-990	151	20	/maxsubsetpct	/maxsubsetpct	ADJ
mkg-990	151	21	100	100	NUM
mkg-990	151	22	/optimize	/optimize	NOUN
mkg-990	151	23	true	true	ADJ
mkg-990	151	24	/opm	/opm	NOUN
mkg-990	151	25	1	1	NUM
mkg-990	151	26	/parsedsccomments	/parsedsccomment	NOUN
mkg-990	151	27	true	true	ADJ
mkg-990	151	28	/parsedsccommentsfordocinfo	/parsedsccommentsfordocinfo	VERB
mkg-990	151	29	true	true	ADJ
mkg-990	151	30	/preservecopypage	/preservecopypage	NOUN
mkg-990	151	31	true	true	ADJ
mkg-990	151	32	/preservedicmykvalues	/preservedicmykvalue	NOUN
mkg-990	151	33	true	true	ADJ
mkg-990	151	34	/preserveepsinfo	/preserveepsinfo	NOUN
mkg-990	151	35	true	true	ADJ
mkg-990	151	36	/preserveflatness	/preserveflatness	NOUN
mkg-990	151	37	true	true	ADJ
mkg-990	151	38	/preservehalftoneinfo	/preservehalftoneinfo	PUNCT
mkg-990	151	39	false	false	ADJ
mkg-990	151	40	/preserveopicomments	/preserveopicomment	NOUN
mkg-990	151	41	false	false	ADJ
mkg-990	151	42	/preserveoverprintsettings	/preserveoverprintsetting	NOUN
mkg-990	151	43	true	true	ADJ
mkg-990	151	44	/startpage	/startpage	NOUN
mkg-990	151	45	1	1	NUM
mkg-990	151	46	/subsetfonts	/subsetfont	NOUN
mkg-990	151	47	true	true	ADJ
mkg-990	151	48	/transferfunctioninfo	/transferfunctioninfo	PUNCT
mkg-990	151	49	/apply	/apply	PUNCT
mkg-990	151	50	/ucrandbginfo	/ucrandbginfo	PUNCT
mkg-990	152	1	/preserve	/preserve	NOUN
mkg-990	152	2	/useprologue	/useprologue	NOUN
mkg-990	152	3	false	false	ADJ
mkg-990	152	4	/colorsettingsfile	/colorsettingsfile	NOUN
mkg-990	152	5	(	(	PUNCT
mkg-990	152	6	)	)	PUNCT
mkg-990	152	7	/alwaysembed	/alwaysembe	VERB
mkg-990	152	8	[	[	PUNCT
mkg-990	152	9	true	true	ADJ
mkg-990	152	10	]	]	PUNCT
mkg-990	152	11	/neverembed	/neverembed	PUNCT
mkg-990	153	1	[	[	PUNCT
mkg-990	153	2	true	true	ADJ
mkg-990	153	3	]	]	PUNCT
mkg-990	153	4	/antialiascolorimages	/antialiascolorimages	X
mkg-990	153	5	false	false	ADJ
mkg-990	153	6	/cropcolorimages	/cropcolorimages	PUNCT
mkg-990	153	7	true	true	ADJ
mkg-990	153	8	/colorimageminresolution	/colorimageminresolution	PUNCT
mkg-990	153	9	300	300	NUM
mkg-990	153	10	/colorimageminresolutionpolicy	/colorimageminresolutionpolicy	NOUN
mkg-990	153	11	/ok	/ok	ADJ
mkg-990	154	1	/downsamplecolorimages	/downsamplecolorimage	VERB
mkg-990	155	1	true	true	ADJ
mkg-990	155	2	/colorimagedownsampletype	/colorimagedownsampletype	PUNCT
mkg-990	155	3	/bicubic	/bicubic	NOUN
mkg-990	155	4	/colorimageresolution	/colorimageresolution	NOUN
mkg-990	156	1	300	300	NUM
mkg-990	156	2	/colorimagedepth	/colorimagedepth	PRON
mkg-990	156	3	-1	-1	INTJ
mkg-990	156	4	/colorimagemindownsampledepth	/colorimagemindownsampledepth	SYM
mkg-990	156	5	1	1	NUM
mkg-990	156	6	/colorimagedownsamplethreshold	/colorimagedownsamplethreshold	SYM
mkg-990	156	7	1.50000	1.50000	NUM
mkg-990	156	8	/encodecolorimages	/encodecolorimage	NOUN
mkg-990	156	9	true	true	ADJ
mkg-990	156	10	/colorimagefilter	/colorimagefilter	PUNCT
mkg-990	156	11	/dctencode	/dctencode	PUNCT
mkg-990	157	1	/autofiltercolorimages	/autofiltercolorimage	NOUN
mkg-990	157	2	true	true	ADJ
mkg-990	157	3	/colorimageautofilterstrategy	/colorimageautofilterstrategy	PUNCT
mkg-990	157	4	/jpeg	/jpeg	PUNCT
mkg-990	157	5	/coloracsimagedict	/coloracsimagedict	PUNCT
mkg-990	158	1	<	<	X
mkg-990	158	2	<	<	X
mkg-990	158	3	/qfactor	/qfactor	NOUN
mkg-990	158	4	0.15	0.15	NUM
mkg-990	158	5	/hsamples	/hsample	NOUN
mkg-990	159	1	[	[	X
mkg-990	159	2	1	1	NUM
mkg-990	159	3	1	1	NUM
mkg-990	159	4	1	1	NUM
mkg-990	159	5	1	1	NUM
mkg-990	159	6	]	]	PUNCT
mkg-990	159	7	/vsamples	/vsample	NOUN
mkg-990	160	1	[	[	X
mkg-990	160	2	1	1	NUM
mkg-990	160	3	1	1	NUM
mkg-990	160	4	1	1	NUM
mkg-990	160	5	1	1	NUM
mkg-990	160	6	]	]	PUNCT
mkg-990	160	7	>	>	PUNCT
mkg-990	160	8	>	>	X
mkg-990	160	9	/colorimagedict	/colorimagedict	PUNCT
mkg-990	161	1	<	<	X
mkg-990	161	2	<	<	X
mkg-990	161	3	/qfactor	/qfactor	NOUN
mkg-990	161	4	0.15	0.15	NUM
mkg-990	161	5	/hsamples	/hsample	NOUN
mkg-990	162	1	[	[	X
mkg-990	162	2	1	1	NUM
mkg-990	162	3	1	1	NUM
mkg-990	162	4	1	1	NUM
mkg-990	162	5	1	1	NUM
mkg-990	162	6	]	]	PUNCT
mkg-990	162	7	/vsamples	/vsample	NOUN
mkg-990	163	1	[	[	X
mkg-990	163	2	1	1	NUM
mkg-990	163	3	1	1	NUM
mkg-990	163	4	1	1	NUM
mkg-990	163	5	1	1	NUM
mkg-990	163	6	]	]	PUNCT
mkg-990	163	7	>	>	PUNCT
mkg-990	163	8	>	>	X
mkg-990	163	9	/jpeg2000coloracsimagedict	/jpeg2000coloracsimagedict	PUNCT
mkg-990	164	1	<	<	X
mkg-990	164	2	<	<	X
mkg-990	164	3	/tilewidth	/tilewidth	PUNCT
mkg-990	164	4	256	256	NUM
mkg-990	164	5	/tileheight	/tileheight	NUM
mkg-990	164	6	256	256	NUM
mkg-990	164	7	/quality	/quality	NOUN
mkg-990	164	8	30	30	NUM
mkg-990	164	9	>	>	PUNCT
mkg-990	164	10	>	>	X
mkg-990	164	11	/jpeg2000colorimagedict	/jpeg2000colorimagedict	PUNCT
mkg-990	164	12	<	<	X
mkg-990	164	13	<	<	X
mkg-990	164	14	/tilewidth	/tilewidth	PUNCT
mkg-990	164	15	256	256	NUM
mkg-990	164	16	/tileheight	/tileheight	NUM
mkg-990	164	17	256	256	NUM
mkg-990	164	18	/quality	/quality	NOUN
mkg-990	164	19	30	30	NUM
mkg-990	164	20	>	>	PUNCT
mkg-990	164	21	>	>	X
mkg-990	164	22	/antialiasgrayimages	/antialiasgrayimages	X
mkg-990	164	23	false	false	ADJ
mkg-990	164	24	/cropgrayimages	/cropgrayimage	NOUN
mkg-990	164	25	true	true	ADJ
mkg-990	164	26	/grayimageminresolution	/grayimageminresolution	ADV
mkg-990	164	27	300	300	NUM
mkg-990	164	28	/grayimageminresolutionpolicy	/grayimageminresolutionpolicy	NOUN
mkg-990	164	29	/ok	/ok	ADJ
mkg-990	164	30	/downsamplegrayimages	/downsamplegrayimages	PUNCT
mkg-990	165	1	true	true	ADJ
mkg-990	165	2	/grayimagedownsampletype	/grayimagedownsampletype	INTJ
mkg-990	165	3	/bicubic	/bicubic	NOUN
mkg-990	165	4	/grayimageresolution	/grayimageresolution	NOUN
mkg-990	165	5	300	300	NUM
mkg-990	165	6	/grayimagedepth	/grayimagedepth	PUNCT
mkg-990	165	7	-1	-1	PUNCT
mkg-990	165	8	/grayimagemindownsampledepth	/grayimagemindownsampledepth	PUNCT
mkg-990	166	1	2	2	NUM
mkg-990	166	2	/grayimagedownsamplethreshold	/grayimagedownsamplethreshold	NUM
mkg-990	166	3	1.50000	1.50000	NUM
mkg-990	166	4	/encodegrayimages	/encodegrayimage	NOUN
mkg-990	166	5	true	true	ADJ
mkg-990	166	6	/grayimagefilter	/grayimagefilter	NOUN
mkg-990	166	7	/dctencode	/dctencode	PUNCT
mkg-990	167	1	/autofiltergrayimages	/autofiltergrayimages	VERB
mkg-990	167	2	true	true	ADJ
mkg-990	167	3	/grayimageautofilterstrategy	/grayimageautofilterstrategy	INTJ
mkg-990	167	4	/jpeg	/jpeg	PUNCT
mkg-990	167	5	/grayacsimagedict	/grayacsimagedict	PUNCT
mkg-990	168	1	<	<	X
mkg-990	168	2	<	<	X
mkg-990	168	3	/qfactor	/qfactor	NOUN
mkg-990	168	4	0.15	0.15	NUM
mkg-990	168	5	/hsamples	/hsample	NOUN
mkg-990	169	1	[	[	X
mkg-990	169	2	1	1	NUM
mkg-990	169	3	1	1	NUM
mkg-990	169	4	1	1	NUM
mkg-990	169	5	1	1	NUM
mkg-990	169	6	]	]	PUNCT
mkg-990	169	7	/vsamples	/vsample	NOUN
mkg-990	170	1	[	[	X
mkg-990	170	2	1	1	NUM
mkg-990	170	3	1	1	NUM
mkg-990	170	4	1	1	NUM
mkg-990	170	5	1	1	NUM
mkg-990	170	6	]	]	PUNCT
mkg-990	170	7	>	>	PUNCT
mkg-990	170	8	>	>	X
mkg-990	170	9	/grayimagedict	/grayimagedict	PUNCT
mkg-990	171	1	<	<	X
mkg-990	171	2	<	<	X
mkg-990	171	3	/qfactor	/qfactor	NOUN
mkg-990	171	4	0.15	0.15	NUM
mkg-990	171	5	/hsamples	/hsample	NOUN
mkg-990	172	1	[	[	X
mkg-990	172	2	1	1	NUM
mkg-990	172	3	1	1	NUM
mkg-990	172	4	1	1	NUM
mkg-990	172	5	1	1	NUM
mkg-990	172	6	]	]	PUNCT
mkg-990	172	7	/vsamples	/vsample	NOUN
mkg-990	173	1	[	[	X
mkg-990	173	2	1	1	NUM
mkg-990	173	3	1	1	NUM
mkg-990	173	4	1	1	NUM
mkg-990	173	5	1	1	NUM
mkg-990	173	6	]	]	PUNCT
mkg-990	173	7	>	>	X
mkg-990	173	8	>	>	X
mkg-990	173	9	/jpeg2000grayacsimagedict	/jpeg2000grayacsimagedict	PUNCT
mkg-990	174	1	<	<	X
mkg-990	174	2	<	<	X
mkg-990	174	3	/tilewidth	/tilewidth	PUNCT
mkg-990	174	4	256	256	NUM
mkg-990	174	5	/tileheight	/tileheight	NUM
mkg-990	174	6	256	256	NUM
mkg-990	174	7	/quality	/quality	NOUN
mkg-990	174	8	30	30	NUM
mkg-990	174	9	>	>	PUNCT
mkg-990	174	10	>	>	X
mkg-990	174	11	/jpeg2000grayimagedict	/jpeg2000grayimagedict	PUNCT
mkg-990	174	12	<	<	X
mkg-990	174	13	<	<	X
mkg-990	174	14	/tilewidth	/tilewidth	PUNCT
mkg-990	174	15	256	256	NUM
mkg-990	174	16	/tileheight	/tileheight	NUM
mkg-990	174	17	256	256	NUM
mkg-990	174	18	/quality	/quality	NOUN
mkg-990	174	19	30	30	NUM
mkg-990	174	20	>	>	PUNCT
mkg-990	174	21	>	>	X
mkg-990	174	22	/antialiasmonoimages	/antialiasmonoimage	NOUN
mkg-990	174	23	false	false	ADJ
mkg-990	174	24	/cropmonoimages	/cropmonoimage	NOUN
mkg-990	174	25	true	true	ADJ
mkg-990	174	26	/monoimageminresolution	/monoimageminresolution	NUM
mkg-990	174	27	1200	1200	NUM
mkg-990	174	28	/monoimageminresolutionpolicy	/monoimageminresolutionpolicy	PUNCT
mkg-990	175	1	/ok	/ok	PROPN
mkg-990	175	2	/downsamplemonoimages	/downsamplemonoimage	VERB
mkg-990	176	1	true	true	ADJ
mkg-990	176	2	/monoimagedownsampletype	/monoimagedownsampletype	PUNCT
mkg-990	176	3	/bicubic	/bicubic	NOUN
mkg-990	176	4	/monoimageresolution	/monoimageresolution	NOUN
mkg-990	176	5	1200	1200	NUM
mkg-990	176	6	/monoimagedepth	/monoimagedepth	PRON
mkg-990	176	7	-1	-1	PUNCT
mkg-990	177	1	/monoimagedownsamplethreshold	/monoimagedownsamplethreshold	PUNCT
mkg-990	177	2	1.50000	1.50000	NUM
mkg-990	177	3	/encodemonoimages	/encodemonoimage	NOUN
mkg-990	177	4	true	true	ADJ
mkg-990	177	5	/monoimagefilter	/monoimagefilter	ADP
mkg-990	177	6	/ccittfaxencode	/ccittfaxencode	INTJ
mkg-990	177	7	/monoimagedict	/monoimagedict	PUNCT
mkg-990	178	1	<	<	X
mkg-990	178	2	<	<	X
mkg-990	178	3	/k	/k	PUNCT
mkg-990	178	4	-1	-1	INTJ
mkg-990	178	5	>	>	PUNCT
mkg-990	178	6	>	>	X
mkg-990	178	7	/allowpsxobjects	/allowpsxobjects	PROPN
mkg-990	178	8	false	false	ADJ
mkg-990	178	9	/checkcompliance	/checkcompliance	NOUN
mkg-990	178	10	[	[	PUNCT
mkg-990	178	11	/none	/none	X
mkg-990	178	12	]	]	PUNCT
mkg-990	178	13	/pdfx1acheck	/pdfx1acheck	PUNCT
mkg-990	178	14	false	false	ADJ
mkg-990	178	15	/pdfx3check	/pdfx3check	PUNCT
mkg-990	178	16	false	false	ADJ
mkg-990	178	17	/pdfxcompliantpdfonly	/pdfxcompliantpdfonly	ADV
mkg-990	178	18	false	false	ADJ
mkg-990	178	19	/pdfxnotrimboxerror	/pdfxnotrimboxerror	NOUN
mkg-990	178	20	true	true	ADJ
mkg-990	178	21	/pdfxtrimboxtomediaboxoffset	/pdfxtrimboxtomediaboxoffset	NOUN
mkg-990	178	22	[	[	PUNCT
mkg-990	178	23	0.00000	0.00000	NUM
mkg-990	178	24	0.00000	0.00000	NUM
mkg-990	178	25	0.00000	0.00000	NUM
mkg-990	178	26	0.00000	0.00000	NUM
mkg-990	178	27	]	]	PUNCT
mkg-990	178	28	/pdfxsetbleedboxtomediabox	/pdfxsetbleedboxtomediabox	PUNCT
mkg-990	179	1	true	true	ADJ
mkg-990	179	2	/pdfxbleedboxtotrimboxoffset	/pdfxbleedboxtotrimboxoffset	PUNCT
mkg-990	179	3	[	[	PUNCT
mkg-990	179	4	0.00000	0.00000	NUM
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mkg-990	179	7	0.00000	0.00000	NUM
mkg-990	179	8	]	]	PUNCT
mkg-990	179	9	/pdfxoutputintentprofile	/pdfxoutputintentprofile	PUNCT
mkg-990	180	1	(	(	PUNCT
mkg-990	180	2	)	)	PUNCT
mkg-990	180	3	/pdfxoutputconditionidentifier	/pdfxoutputconditionidentifi	ADJ
mkg-990	180	4	(	(	PUNCT
mkg-990	180	5	)	)	PUNCT
mkg-990	180	6	/pdfxoutputcondition	/pdfxoutputcondition	PRON
mkg-990	180	7	(	(	PUNCT
mkg-990	180	8	)	)	PUNCT
mkg-990	180	9	/pdfxregistryname	/pdfxregistryname	PUNCT
mkg-990	180	10	(	(	PUNCT
mkg-990	180	11	)	)	PUNCT
mkg-990	180	12	/pdfxtrapped	/pdfxtrapped	PUNCT
mkg-990	180	13	/false	/false	PRON
mkg-990	181	1	/description	/description	X
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mkg-990	182	3	/chs	/chs	X
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mkg-990	182	7	/cht	/cht	PUNCT
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mkg-990	182	10	>	>	X
mkg-990	182	11	/dan	/dan	PUNCT
mkg-990	182	12	<	<	X
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mkg-990	182	14	>	>	X
mkg-990	182	15	/deu	/deu	PUNCT
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mkg-990	182	18	>	>	X
mkg-990	182	19	/esp	/esp	PUNCT
mkg-990	183	1	<	<	X
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mkg-990	183	3	>	>	X
mkg-990	183	4	/fra	/fra	PUNCT
mkg-990	183	5	<	<	X
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mkg-990	183	7	>	>	X
mkg-990	183	8	/ita	/ita	PUNCT
mkg-990	183	9	<	<	AUX
mkg-990	183	10	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	X
mkg-990	183	11	>	>	X
mkg-990	183	12	/jpn	/jpn	PROPN
mkg-990	183	13	<	<	X
mkg-990	183	14	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	X
mkg-990	183	15	>	>	X
mkg-990	183	16	/kor	/kor	PUNCT
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mkg-990	183	19	>	>	X
mkg-990	183	20	/nld	/nld	PUNCT
mkg-990	184	1	(	(	PUNCT
mkg-990	184	2	gebruik	gebruik	NOUN
mkg-990	184	3	deze	deze	PROPN
mkg-990	184	4	instellingen	instellingen	PROPN
mkg-990	184	5	om	om	PROPN
mkg-990	184	6	adobe	adobe	PROPN
mkg-990	184	7	pdf	pdf	PROPN
mkg-990	184	8	-	-	PUNCT
mkg-990	184	9	documenten	documenten	NOUN
mkg-990	184	10	te	te	ADP
mkg-990	184	11	maken	maken	NOUN
mkg-990	184	12	voor	voor	PROPN
mkg-990	184	13	kwaliteitsafdrukken	kwaliteitsafdrukken	VERB
mkg-990	184	14	op	op	NOUN
mkg-990	184	15	desktopprinters	desktopprinter	NOUN
mkg-990	184	16	en	en	ADP
mkg-990	184	17	proofers	proofer	NOUN
mkg-990	184	18	.	.	PUNCT
mkg-990	185	1	de	de	PROPN
mkg-990	185	2	gemaakte	gemaakte	PROPN
mkg-990	185	3	pdf	pdf	NOUN
mkg-990	185	4	-	-	PUNCT
mkg-990	185	5	documenten	documenten	NOUN
mkg-990	185	6	kunnen	kunnen	PROPN
mkg-990	185	7	worden	worden	PROPN
mkg-990	185	8	geopend	geopend	PROPN
mkg-990	185	9	met	meet	VERB
mkg-990	185	10	acrobat	acrobat	PROPN
mkg-990	185	11	en	en	PROPN
mkg-990	185	12	adobe	adobe	PROPN
mkg-990	185	13	reader	reader	PROPN
mkg-990	185	14	5.0	5.0	NUM
mkg-990	185	15	en	en	ADP
mkg-990	185	16	hoger	hoger	NOUN
mkg-990	185	17	.	.	PUNCT
mkg-990	185	18	)	)	PUNCT
mkg-990	186	1	/nor	/nor	PUNCT
mkg-990	187	1	<	<	X
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mkg-990	187	3	>	>	X
mkg-990	187	4	/ptb	/ptb	PROPN
mkg-990	188	1	<	<	X
mkg-990	189	1	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	PROPN
mkg-990	189	2	>	>	X
mkg-990	189	3	/suo	/suo	PROPN
mkg-990	190	1	<	<	AUX
mkg-990	190	2	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	X
mkg-990	190	3	>	>	X
mkg-990	190	4	/sve	/sve	PROPN
mkg-990	190	5	<	<	X
mkg-990	190	6	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	X
mkg-990	190	7	>	>	X
mkg-990	190	8	/enu	/enu	PUNCT
mkg-990	190	9	(	(	PUNCT
mkg-990	190	10	use	use	VERB
mkg-990	190	11	these	these	DET
mkg-990	190	12	settings	setting	NOUN
mkg-990	190	13	to	to	PART
mkg-990	190	14	create	create	VERB
mkg-990	190	15	adobe	adobe	PROPN
mkg-990	190	16	pdf	pdf	NOUN
mkg-990	190	17	documents	document	NOUN
mkg-990	190	18	for	for	ADP
mkg-990	190	19	quality	quality	NOUN
mkg-990	190	20	printing	printing	NOUN
mkg-990	190	21	on	on	ADP
mkg-990	190	22	desktop	desktop	NOUN
mkg-990	190	23	printers	printer	NOUN
mkg-990	190	24	and	and	CCONJ
mkg-990	190	25	proofers	proofer	NOUN
mkg-990	190	26	.	.	PUNCT
mkg-990	191	1	created	create	VERB
mkg-990	191	2	pdf	pdf	NOUN
mkg-990	191	3	documents	document	NOUN
mkg-990	191	4	can	can	AUX
mkg-990	191	5	be	be	AUX
mkg-990	191	6	opened	open	VERB
mkg-990	191	7	with	with	ADP
mkg-990	191	8	acrobat	acrobat	PROPN
mkg-990	191	9	and	and	CCONJ
mkg-990	191	10	adobe	adobe	PROPN
mkg-990	191	11	reader	reader	PROPN
mkg-990	191	12	5.0	5.0	NUM
mkg-990	191	13	and	and	CCONJ
mkg-990	191	14	later	later	ADV
mkg-990	191	15	.	.	PUNCT
mkg-990	191	16	)	)	PUNCT
mkg-990	192	1	>	>	PUNCT
mkg-990	192	2	>	>	X
mkg-990	192	3	/namespace	/namespace	PUNCT
mkg-990	193	1	[	[	PUNCT
mkg-990	193	2	(	(	PUNCT
mkg-990	193	3	adobe	adobe	PROPN
mkg-990	193	4	)	)	PUNCT
mkg-990	193	5	(	(	PUNCT
mkg-990	193	6	common	common	ADJ
mkg-990	193	7	)	)	PUNCT
mkg-990	193	8	(	(	PUNCT
mkg-990	193	9	1.0	1.0	NUM
mkg-990	193	10	)	)	PUNCT
mkg-990	193	11	]	]	PUNCT
mkg-990	194	1	/othernamespaces	/othernamespace	VERB
mkg-990	194	2	[	[	PUNCT
mkg-990	194	3	<	<	X
mkg-990	194	4	<	<	X
mkg-990	194	5	/asreaderspreads	/asreaderspreads	X
mkg-990	194	6	false	false	ADJ
mkg-990	194	7	/cropimagestoframes	/cropimagestoframe	NOUN
mkg-990	194	8	true	true	ADJ
mkg-990	194	9	/errorcontrol	/errorcontrol	NOUN
mkg-990	195	1	/warnandcontinue	/warnandcontinue	PUNCT
mkg-990	195	2	/flattenerignorespreadoverrides	/flattenerignorespreadoverride	NOUN
mkg-990	195	3	false	false	ADJ
mkg-990	195	4	/includeguidesgrids	/includeguidesgrid	NOUN
mkg-990	195	5	false	false	ADJ
mkg-990	195	6	/includenonprinting	/includenonprinting	NOUN
mkg-990	195	7	false	false	ADJ
mkg-990	195	8	/includeslug	/includeslug	INTJ
mkg-990	195	9	false	false	ADJ
mkg-990	195	10	/namespace	/namespace	NOUN
mkg-990	196	1	[	[	PUNCT
mkg-990	196	2	(	(	PUNCT
mkg-990	196	3	adobe	adobe	PROPN
mkg-990	196	4	)	)	PUNCT
mkg-990	196	5	(	(	PUNCT
mkg-990	196	6	indesign	indesign	NOUN
mkg-990	196	7	)	)	PUNCT
mkg-990	196	8	(	(	PUNCT
mkg-990	196	9	4.0	4.0	NUM
mkg-990	196	10	)	)	PUNCT
mkg-990	196	11	]	]	PUNCT
mkg-990	196	12	/omitplacedbitmaps	/omitplacedbitmaps	PUNCT
mkg-990	197	1	false	false	ADJ
mkg-990	197	2	/omitplacedeps	/omitplacedeps	INTJ
mkg-990	197	3	false	false	ADJ
mkg-990	197	4	/omitplacedpdf	/omitplacedpdf	PUNCT
mkg-990	197	5	false	false	ADJ
mkg-990	197	6	/simulateoverprint	/simulateoverprint	NOUN
mkg-990	197	7	/legacy	/legacy	PUNCT
mkg-990	198	1	>	>	PUNCT
mkg-990	198	2	>	>	X
mkg-990	198	3	<	<	X
mkg-990	198	4	<	<	X
mkg-990	198	5	/addbleedmarks	/addbleedmarks	X
mkg-990	198	6	false	false	ADJ
mkg-990	198	7	/addcolorbars	/addcolorbars	INTJ
mkg-990	198	8	false	false	ADJ
mkg-990	198	9	/addcropmarks	/addcropmarks	PUNCT
mkg-990	198	10	false	false	ADJ
mkg-990	198	11	/addpageinfo	/addpageinfo	INTJ
mkg-990	198	12	false	false	ADJ
mkg-990	198	13	/addregmarks	/addregmark	NOUN
mkg-990	198	14	false	false	ADJ
mkg-990	198	15	/convertcolors	/convertcolor	NOUN
mkg-990	198	16	/noconversion	/noconversion	PRON
mkg-990	198	17	/destinationprofilename	/destinationprofilename	PUNCT
mkg-990	198	18	(	(	PUNCT
mkg-990	198	19	)	)	PUNCT
mkg-990	198	20	/destinationprofileselector	/destinationprofileselector	NOUN
mkg-990	198	21	/na	/na	PUNCT
mkg-990	199	1	/downsample16bitimages	/downsample16bitimage	NOUN
mkg-990	199	2	true	true	ADJ
mkg-990	199	3	/flattenerpreset	/flattenerpreset	PUNCT
mkg-990	200	1	<	<	X
mkg-990	200	2	<	<	X
mkg-990	200	3	/presetselector	/presetselector	X
mkg-990	200	4	/mediumresolution	/mediumresolution	NOUN
mkg-990	200	5	>	>	PUNCT
mkg-990	200	6	>	>	X
mkg-990	200	7	/formelements	/formelement	NOUN
mkg-990	201	1	false	false	ADJ
mkg-990	201	2	/generatestructure	/generatestructure	NOUN
mkg-990	201	3	true	true	ADJ
mkg-990	201	4	/includebookmarks	/includebookmark	NOUN
mkg-990	201	5	false	false	ADJ
mkg-990	201	6	/includehyperlinks	/includehyperlinks	INTJ
mkg-990	201	7	false	false	ADJ
mkg-990	201	8	/includeinteractive	/includeinteractive	ADJ
mkg-990	201	9	false	false	ADJ
mkg-990	201	10	/includelayers	/includelayer	NOUN
mkg-990	201	11	false	false	ADJ
mkg-990	201	12	/includeprofiles	/includeprofiles	NOUN
mkg-990	201	13	true	true	ADJ
mkg-990	201	14	/multimediahandling	/multimediahandling	NOUN
mkg-990	201	15	/useobjectsettings	/useobjectsettings	PRON
mkg-990	201	16	/namespace	/namespace	PUNCT
mkg-990	202	1	[	[	PUNCT
mkg-990	202	2	(	(	PUNCT
mkg-990	202	3	adobe	adobe	PROPN
mkg-990	202	4	)	)	PUNCT
mkg-990	202	5	(	(	PUNCT
mkg-990	202	6	creativesuite	creativesuite	NOUN
mkg-990	202	7	)	)	PUNCT
mkg-990	202	8	(	(	PUNCT
mkg-990	202	9	2.0	2.0	NUM
mkg-990	202	10	)	)	PUNCT
mkg-990	202	11	]	]	PUNCT
mkg-990	202	12	/pdfxoutputintentprofileselector	/pdfxoutputintentprofileselector	PUNCT
mkg-990	203	1	/na	/na	PUNCT
mkg-990	203	2	/preserveediting	/preserveedite	VERB
mkg-990	203	3	true	true	ADJ
mkg-990	203	4	/untaggedcmykhandling	/untaggedcmykhandling	NOUN
mkg-990	203	5	/leaveuntagged	/leaveuntagge	VERB
mkg-990	203	6	/untaggedrgbhandling	/untaggedrgbhandling	NOUN
mkg-990	203	7	/leaveuntagged	/leaveuntagged	ADJ
mkg-990	204	1	/usedocumentbleed	/usedocumentbleed	INTJ
mkg-990	204	2	false	false	INTJ
mkg-990	204	3	>	>	PUNCT
mkg-990	204	4	>	>	X
mkg-990	204	5	]	]	PUNCT
mkg-990	204	6	>	>	PUNCT
mkg-990	204	7	>	>	X
mkg-990	204	8	setdistillerparams	setdistillerparam	NOUN
mkg-990	205	1	<	<	X
mkg-990	205	2	<	<	X
mkg-990	205	3	/hwresolution	/hwresolution	NOUN
mkg-990	206	1	[	[	X
mkg-990	206	2	2400	2400	NUM
mkg-990	206	3	2400	2400	NUM
mkg-990	206	4	]	]	PUNCT
mkg-990	206	5	/pagesize	/pagesize	X
mkg-990	207	1	[	[	X
mkg-990	207	2	612.000	612.000	NUM
mkg-990	207	3	792.000	792.000	NUM
mkg-990	207	4	]	]	PUNCT
mkg-990	207	5	>	>	PUNCT
mkg-990	207	6	>	>	X
mkg-990	207	7	setpagedevice	setpagedevice	PROPN