id	sid	tid	token	lemma	pos
ejpam-798	1	1	2_xxx_white.dvi	2_xxx_white.dvi	NUM
ejpam-798	1	2	european	european	ADJ
ejpam-798	1	3	journal	journal	NOUN
ejpam-798	1	4	of	of	ADP
ejpam-798	1	5	pure	pure	ADJ
ejpam-798	1	6	and	and	CCONJ
ejpam-798	1	7	applied	apply	VERB
ejpam-798	1	8	mathematics	mathematic	NOUN
ejpam-798	1	9	vol	vol	NOUN
ejpam-798	1	10	.	.	PUNCT
ejpam-798	2	1	3	3	NUM
ejpam-798	2	2	,	,	PUNCT
ejpam-798	2	3	no	no	INTJ
ejpam-798	2	4	.	.	NOUN
ejpam-798	2	5	3	3	NUM
ejpam-798	2	6	,	,	PUNCT
ejpam-798	2	7	2010	2010	NUM
ejpam-798	2	8	,	,	PUNCT
ejpam-798	2	9	371	371	NUM
ejpam-798	2	10	-	-	SYM
ejpam-798	2	11	381	381	NUM
ejpam-798	2	12	issn	issn	PROPN
ejpam-798	2	13	1307	1307	NUM
ejpam-798	2	14	-	-	SYM
ejpam-798	2	15	5543	5543	NUM
ejpam-798	2	16	–	–	PUNCT
ejpam-798	2	17	www.ejpam.com	www.ejpam.com	X
ejpam-798	2	18	special	special	ADJ
ejpam-798	2	19	issue	issue	NOUN
ejpam-798	2	20	on	on	ADP
ejpam-798	2	21	granger	granger	PROPN
ejpam-798	2	22	econometrics	econometric	NOUN
ejpam-798	2	23	and	and	CCONJ
ejpam-798	2	24	statistical	statistical	ADJ
ejpam-798	2	25	modeling	modeling	NOUN
ejpam-798	2	26	dedicated	dedicate	VERB
ejpam-798	2	27	to	to	ADP
ejpam-798	2	28	the	the	DET
ejpam-798	2	29	memory	memory	NOUN
ejpam-798	2	30	of	of	ADP
ejpam-798	2	31	prof	prof	NOUN
ejpam-798	2	32	.	.	PUNCT
ejpam-798	3	1	sir	sir	PROPN
ejpam-798	3	2	clive	clive	PROPN
ejpam-798	3	3	w.j	w.j	PROPN
ejpam-798	3	4	.	.	PROPN
ejpam-798	4	1	granger	granger	PROPN
ejpam-798	4	2	bootstrapping	bootstrappe	VERB
ejpam-798	4	3	the	the	DET
ejpam-798	4	4	shrinkage	shrinkage	NOUN
ejpam-798	4	5	least	least	ADJ
ejpam-798	4	6	absolute	absolute	ADJ
ejpam-798	4	7	deviations	deviation	NOUN
ejpam-798	4	8	estimator	estimator	NOUN
ejpam-798	4	9	tae	tae	PROPN
ejpam-798	4	10	-	-	PUNCT
ejpam-798	4	11	hwan	hwan	PROPN
ejpam-798	4	12	kim1∗	kim1∗	PROPN
ejpam-798	4	13	and	and	CCONJ
ejpam-798	4	14	halbert	halbert	PROPN
ejpam-798	4	15	white2	white2	PROPN
ejpam-798	4	16	1	1	NUM
ejpam-798	4	17	school	school	NOUN
ejpam-798	4	18	of	of	ADP
ejpam-798	4	19	economics	economic	NOUN
ejpam-798	4	20	,	,	PUNCT
ejpam-798	4	21	yonsei	yonsei	PROPN
ejpam-798	4	22	university	university	PROPN
ejpam-798	4	23	,	,	PUNCT
ejpam-798	4	24	134	134	NUM
ejpam-798	4	25	shinchon	shinchon	NOUN
ejpam-798	4	26	-	-	PUNCT
ejpam-798	4	27	dong	dong	NOUN
ejpam-798	4	28	,	,	PUNCT
ejpam-798	4	29	seodaemun	seodaemun	NOUN
ejpam-798	4	30	-	-	PUNCT
ejpam-798	4	31	gu	gu	NOUN
ejpam-798	4	32	,	,	PUNCT
ejpam-798	4	33	seoul	seoul	PROPN
ejpam-798	4	34	,	,	PUNCT
ejpam-798	4	35	120	120	NUM
ejpam-798	4	36	-	-	SYM
ejpam-798	4	37	749	749	NUM
ejpam-798	4	38	,	,	PUNCT
ejpam-798	4	39	korea	korea	PROPN
ejpam-798	4	40	2	2	NUM
ejpam-798	4	41	department	department	NOUN
ejpam-798	4	42	of	of	ADP
ejpam-798	4	43	economics	economic	NOUN
ejpam-798	4	44	,	,	PUNCT
ejpam-798	4	45	university	university	PROPN
ejpam-798	4	46	of	of	ADP
ejpam-798	4	47	california	california	PROPN
ejpam-798	4	48	,	,	PUNCT
ejpam-798	4	49	san	san	PROPN
ejpam-798	4	50	diego	diego	PROPN
ejpam-798	4	51	,	,	PUNCT
ejpam-798	4	52	9500	9500	NUM
ejpam-798	4	53	gilman	gilman	PROPN
ejpam-798	4	54	drive	drive	NOUN
ejpam-798	4	55	,	,	PUNCT
ejpam-798	4	56	la	la	PROPN
ejpam-798	4	57	jolla	jolla	PROPN
ejpam-798	4	58	,	,	PUNCT
ejpam-798	4	59	ca	ca	NOUN
ejpam-798	4	60	92093	92093	NUM
ejpam-798	4	61	-	-	PUNCT
ejpam-798	4	62	0508	0508	NUM
ejpam-798	4	63	abstract	abstract	NOUN
ejpam-798	4	64	.	.	PUNCT
ejpam-798	5	1	kim	kim	PROPN
ejpam-798	5	2	and	and	CCONJ
ejpam-798	5	3	white	white	ADJ
ejpam-798	5	4	[	[	X
ejpam-798	5	5	13	13	NUM
ejpam-798	5	6	]	]	PUNCT
ejpam-798	5	7	studied	study	VERB
ejpam-798	5	8	a	a	DET
ejpam-798	5	9	james	james	PROPN
ejpam-798	5	10	-	-	PUNCT
ejpam-798	5	11	stein	stein	PROPN
ejpam-798	5	12	type	type	PROPN
ejpam-798	5	13	estimator	estimator	NOUN
ejpam-798	5	14	that	that	PRON
ejpam-798	5	15	shrinks	shrink	VERB
ejpam-798	5	16	towards	towards	ADP
ejpam-798	5	17	a	a	DET
ejpam-798	5	18	datadependent	datadependent	NOUN
ejpam-798	5	19	point	point	NOUN
ejpam-798	5	20	rather	rather	ADV
ejpam-798	5	21	than	than	ADP
ejpam-798	5	22	a	a	DET
ejpam-798	5	23	fixed	fix	VERB
ejpam-798	5	24	point	point	NOUN
ejpam-798	5	25	.	.	PUNCT
ejpam-798	6	1	this	this	PRON
ejpam-798	6	2	was	be	AUX
ejpam-798	6	3	subsequently	subsequently	ADV
ejpam-798	6	4	extended	extend	VERB
ejpam-798	6	5	and	and	CCONJ
ejpam-798	6	6	applied	apply	VERB
ejpam-798	6	7	to	to	ADP
ejpam-798	6	8	combining	combine	VERB
ejpam-798	6	9	the	the	DET
ejpam-798	6	10	ols	ol	NOUN
ejpam-798	6	11	and	and	CCONJ
ejpam-798	6	12	2sls	2sls	NUM
ejpam-798	6	13	estimators	estimator	NOUN
ejpam-798	6	14	by	by	ADP
ejpam-798	6	15	[	[	X
ejpam-798	6	16	12	12	NUM
ejpam-798	6	17	,	,	PUNCT
ejpam-798	6	18	14	14	NUM
ejpam-798	6	19	]	]	PUNCT
ejpam-798	6	20	.	.	PUNCT
ejpam-798	7	1	this	this	DET
ejpam-798	7	2	approach	approach	NOUN
ejpam-798	7	3	can	can	AUX
ejpam-798	7	4	be	be	AUX
ejpam-798	7	5	used	use	VERB
ejpam-798	7	6	to	to	PART
ejpam-798	7	7	combine	combine	VERB
ejpam-798	7	8	any	any	DET
ejpam-798	7	9	two	two	NUM
ejpam-798	7	10	estimators	estimator	NOUN
ejpam-798	7	11	in	in	ADP
ejpam-798	7	12	an	an	DET
ejpam-798	7	13	optimal	optimal	ADJ
ejpam-798	7	14	way	way	NOUN
ejpam-798	7	15	.	.	PUNCT
ejpam-798	8	1	while	while	SCONJ
ejpam-798	8	2	the	the	DET
ejpam-798	8	3	risk	risk	NOUN
ejpam-798	8	4	dominance	dominance	NOUN
ejpam-798	8	5	properties	property	NOUN
ejpam-798	8	6	of	of	ADP
ejpam-798	8	7	the	the	DET
ejpam-798	8	8	new	new	ADJ
ejpam-798	8	9	shrinkage	shrinkage	NOUN
ejpam-798	8	10	estimator	estimator	NOUN
ejpam-798	8	11	have	have	AUX
ejpam-798	8	12	been	be	AUX
ejpam-798	8	13	well	well	ADV
ejpam-798	8	14	established	establish	VERB
ejpam-798	8	15	,	,	PUNCT
ejpam-798	8	16	a	a	DET
ejpam-798	8	17	clear	clear	ADJ
ejpam-798	8	18	prescription	prescription	NOUN
ejpam-798	8	19	for	for	ADP
ejpam-798	8	20	how	how	SCONJ
ejpam-798	8	21	to	to	PART
ejpam-798	8	22	conduct	conduct	VERB
ejpam-798	8	23	inference	inference	NOUN
ejpam-798	8	24	and	and	CCONJ
ejpam-798	8	25	hypothesis	hypothesis	NOUN
ejpam-798	8	26	testing	testing	NOUN
ejpam-798	8	27	has	have	AUX
ejpam-798	8	28	been	be	AUX
ejpam-798	8	29	missing	miss	VERB
ejpam-798	8	30	.	.	PUNCT
ejpam-798	9	1	in	in	ADP
ejpam-798	9	2	this	this	DET
ejpam-798	9	3	paper	paper	NOUN
ejpam-798	9	4	,	,	PUNCT
ejpam-798	9	5	we	we	PRON
ejpam-798	9	6	close	close	VERB
ejpam-798	9	7	this	this	DET
ejpam-798	9	8	gap	gap	NOUN
ejpam-798	9	9	using	use	VERB
ejpam-798	9	10	a	a	DET
ejpam-798	9	11	bootstrap	bootstrap	NOUN
ejpam-798	9	12	approach	approach	NOUN
ejpam-798	9	13	.	.	PUNCT
ejpam-798	10	1	2000	2000	NUM
ejpam-798	10	2	mathematics	mathematic	NOUN
ejpam-798	10	3	subject	subject	NOUN
ejpam-798	10	4	classifications	classification	NOUN
ejpam-798	10	5	:	:	PUNCT
ejpam-798	10	6	62	62	NUM
ejpam-798	10	7	key	key	ADJ
ejpam-798	10	8	words	word	NOUN
ejpam-798	10	9	and	and	CCONJ
ejpam-798	10	10	phrases	phrase	NOUN
ejpam-798	10	11	:	:	PUNCT
ejpam-798	10	12	shrinkage	shrinkage	NOUN
ejpam-798	10	13	,	,	PUNCT
ejpam-798	10	14	james	james	PROPN
ejpam-798	10	15	-	-	PUNCT
ejpam-798	10	16	stein	stein	PROPN
ejpam-798	10	17	type	type	NOUN
ejpam-798	10	18	estimators	estimator	NOUN
ejpam-798	10	19	1	1	NUM
ejpam-798	10	20	.	.	X
ejpam-798	10	21	introduction	introduction	NOUN
ejpam-798	10	22	in	in	ADP
ejpam-798	10	23	commemorating	commemorate	VERB
ejpam-798	10	24	clive	clive	PROPN
ejpam-798	10	25	w.j	w.j	PROPN
ejpam-798	11	1	.	.	PUNCT
ejpam-798	11	2	granger	granger	PROPN
ejpam-798	11	3	’s	’s	PART
ejpam-798	11	4	life	life	NOUN
ejpam-798	11	5	and	and	CCONJ
ejpam-798	11	6	work	work	NOUN
ejpam-798	11	7	,	,	PUNCT
ejpam-798	11	8	it	it	PRON
ejpam-798	11	9	is	be	AUX
ejpam-798	11	10	fitting	fitting	ADJ
ejpam-798	11	11	to	to	PART
ejpam-798	11	12	note	note	VERB
ejpam-798	11	13	his	his	PRON
ejpam-798	11	14	delight	delight	NOUN
ejpam-798	11	15	in	in	ADP
ejpam-798	11	16	tackling	tackle	VERB
ejpam-798	11	17	interesting	interesting	ADJ
ejpam-798	11	18	issues	issue	NOUN
ejpam-798	11	19	from	from	ADP
ejpam-798	11	20	unconventional	unconventional	ADJ
ejpam-798	11	21	angles	angle	NOUN
ejpam-798	11	22	,	,	PUNCT
ejpam-798	11	23	frequently	frequently	ADV
ejpam-798	11	24	opening	open	VERB
ejpam-798	11	25	up	up	ADP
ejpam-798	11	26	new	new	ADJ
ejpam-798	11	27	areas	area	NOUN
ejpam-798	11	28	of	of	ADP
ejpam-798	11	29	research	research	NOUN
ejpam-798	11	30	and	and	CCONJ
ejpam-798	11	31	new	new	ADJ
ejpam-798	11	32	ways	way	NOUN
ejpam-798	11	33	of	of	ADP
ejpam-798	11	34	thinking	think	VERB
ejpam-798	11	35	about	about	ADP
ejpam-798	11	36	important	important	ADJ
ejpam-798	11	37	topics	topic	NOUN
ejpam-798	11	38	in	in	ADP
ejpam-798	11	39	econometrics	econometric	NOUN
ejpam-798	11	40	.	.	PUNCT
ejpam-798	12	1	as	as	SCONJ
ejpam-798	12	2	jim	jim	PROPN
ejpam-798	12	3	stock	stock	PROPN
ejpam-798	12	4	noted	note	VERB
ejpam-798	12	5	in	in	ADP
ejpam-798	12	6	his	his	PRON
ejpam-798	12	7	discussion	discussion	NOUN
ejpam-798	12	8	of	of	ADP
ejpam-798	12	9	granger	granger	PROPN
ejpam-798	12	10	’s	’s	PART
ejpam-798	12	11	work	work	NOUN
ejpam-798	12	12	in	in	ADP
ejpam-798	12	13	a	a	DET
ejpam-798	12	14	memorial	memorial	ADJ
ejpam-798	12	15	session	session	NOUN
ejpam-798	12	16	at	at	ADP
ejpam-798	12	17	the	the	DET
ejpam-798	12	18	2010	2010	NUM
ejpam-798	12	19	american	american	ADJ
ejpam-798	12	20	economic	economic	PROPN
ejpam-798	12	21	association	association	NOUN
ejpam-798	12	22	meetings	meeting	NOUN
ejpam-798	12	23	,	,	PUNCT
ejpam-798	12	24	perhaps	perhaps	ADV
ejpam-798	12	25	one	one	NUM
ejpam-798	12	26	of	of	ADP
ejpam-798	12	27	the	the	DET
ejpam-798	12	28	most	most	ADV
ejpam-798	12	29	interesting	interesting	ADJ
ejpam-798	12	30	developments	development	NOUN
ejpam-798	12	31	in	in	ADP
ejpam-798	12	32	modern	modern	ADJ
ejpam-798	12	33	econometrics	econometric	NOUN
ejpam-798	12	34	has	have	AUX
ejpam-798	12	35	been	be	AUX
ejpam-798	12	36	the	the	DET
ejpam-798	12	37	very	very	ADV
ejpam-798	12	38	different	different	ADJ
ejpam-798	12	39	asymptotic	asymptotic	ADJ
ejpam-798	12	40	distribution	distribution	NOUN
ejpam-798	12	41	theory	theory	NOUN
ejpam-798	12	42	required	require	VERB
ejpam-798	12	43	to	to	PART
ejpam-798	12	44	treat	treat	VERB
ejpam-798	12	45	the	the	DET
ejpam-798	12	46	estimators	estimator	NOUN
ejpam-798	12	47	emerging	emerge	VERB
ejpam-798	12	48	from	from	ADP
ejpam-798	12	49	granger	granger	PROPN
ejpam-798	12	50	’s	’s	PART
ejpam-798	12	51	nobel	nobel	PROPN
ejpam-798	12	52	prize	prize	PROPN
ejpam-798	12	53	-	-	PUNCT
ejpam-798	12	54	winning	win	VERB
ejpam-798	12	55	work	work	NOUN
ejpam-798	12	56	on	on	ADP
ejpam-798	12	57	cointegration	cointegration	NOUN
ejpam-798	12	58	[	[	X
ejpam-798	12	59	6	6	NUM
ejpam-798	12	60	,	,	PUNCT
ejpam-798	12	61	5	5	NUM
ejpam-798	12	62	]	]	PUNCT
ejpam-798	12	63	,	,	PUNCT
ejpam-798	12	64	compared	compare	VERB
ejpam-798	12	65	to	to	ADP
ejpam-798	12	66	the	the	DET
ejpam-798	12	67	standard	standard	ADJ
ejpam-798	12	68	asymptotic	asymptotic	ADJ
ejpam-798	12	69	normality	normality	NOUN
ejpam-798	12	70	results	result	NOUN
ejpam-798	12	71	that	that	PRON
ejpam-798	12	72	previously	previously	ADV
ejpam-798	12	73	prevailed	prevail	VERB
ejpam-798	12	74	.	.	PUNCT
ejpam-798	13	1	∗corresponding	∗corresponde	VERB
ejpam-798	13	2	author	author	NOUN
ejpam-798	13	3	.	.	PUNCT
ejpam-798	14	1	email	email	NOUN
ejpam-798	14	2	addresses	address	NOUN
ejpam-798	14	3	:	:	PUNCT
ejpam-798	14	4	tae	tae	PROPN
ejpam-798	14	5	-	-	PUNCT
ejpam-798	14	6	hwan.kim	hwan.kim	X
ejpam-798	14	7	�	�	PROPN
ejpam-798	14	8	yonsei.a	yonsei.a	NOUN
ejpam-798	14	9	.kr	.kr	PUNCT
ejpam-798	15	1	(	(	PUNCT
ejpam-798	15	2	t.	t.	PROPN
ejpam-798	15	3	kim	kim	PROPN
ejpam-798	15	4	)	)	PUNCT
ejpam-798	16	1	,	,	PUNCT
ejpam-798	16	2	hwhite	hwhite	VERB
ejpam-798	16	3	�	�	PROPN
ejpam-798	16	4	u	u	ADP
ejpam-798	16	5	sd.edu	sd.edu	PROPN
ejpam-798	16	6	(	(	PUNCT
ejpam-798	16	7	h.	h.	PROPN
ejpam-798	16	8	white	white	PROPN
ejpam-798	16	9	)	)	PUNCT
ejpam-798	16	10	http://www.ejpam.com	http://www.ejpam.com	X
ejpam-798	17	1	371	371	NUM
ejpam-798	17	2	c	c	X
ejpam-798	17	3	©	©	PROPN
ejpam-798	17	4	2010	2010	NUM
ejpam-798	17	5	ejpam	ejpam	NOUN
ejpam-798	17	6	all	all	DET
ejpam-798	17	7	rights	right	NOUN
ejpam-798	17	8	reserved	reserve	VERB
ejpam-798	17	9	.	.	PUNCT
ejpam-798	18	1	t.	t.	PROPN
ejpam-798	18	2	kim	kim	PROPN
ejpam-798	18	3	and	and	CCONJ
ejpam-798	18	4	h.	h.	PROPN
ejpam-798	18	5	white	white	PROPN
ejpam-798	18	6	/	/	SYM
ejpam-798	18	7	eur	eur	PROPN
ejpam-798	18	8	.	.	PUNCT
ejpam-798	19	1	j.	j.	PROPN
ejpam-798	19	2	pure	pure	PROPN
ejpam-798	19	3	appl	appl	PROPN
ejpam-798	19	4	.	.	PROPN
ejpam-798	19	5	math	math	PROPN
ejpam-798	19	6	,	,	PUNCT
ejpam-798	19	7	3	3	NUM
ejpam-798	19	8	(	(	PUNCT
ejpam-798	19	9	2010	2010	NUM
ejpam-798	19	10	)	)	PUNCT
ejpam-798	19	11	,	,	PUNCT
ejpam-798	19	12	371	371	NUM
ejpam-798	19	13	-	-	SYM
ejpam-798	19	14	381	381	NUM
ejpam-798	19	15	372	372	NUM
ejpam-798	19	16	here	here	ADV
ejpam-798	19	17	we	we	PRON
ejpam-798	19	18	offer	offer	VERB
ejpam-798	19	19	analysis	analysis	NOUN
ejpam-798	19	20	that	that	PRON
ejpam-798	19	21	also	also	ADV
ejpam-798	19	22	involves	involve	VERB
ejpam-798	19	23	unusual	unusual	ADJ
ejpam-798	19	24	asymptotics	asymptotic	NOUN
ejpam-798	19	25	,	,	PUNCT
ejpam-798	19	26	growing	grow	VERB
ejpam-798	19	27	in	in	ADP
ejpam-798	19	28	a	a	DET
ejpam-798	19	29	perhaps	perhaps	ADV
ejpam-798	19	30	unanticipated	unanticipated	ADJ
ejpam-798	19	31	way	way	NOUN
ejpam-798	19	32	that	that	PRON
ejpam-798	19	33	we	we	PRON
ejpam-798	19	34	hope	hope	VERB
ejpam-798	19	35	clive	clive	PROPN
ejpam-798	19	36	would	would	AUX
ejpam-798	19	37	find	find	VERB
ejpam-798	19	38	gratifying	gratify	VERB
ejpam-798	19	39	,	,	PUNCT
ejpam-798	19	40	from	from	ADP
ejpam-798	19	41	distribution	distribution	NOUN
ejpam-798	19	42	theory	theory	NOUN
ejpam-798	19	43	developed	develop	VERB
ejpam-798	19	44	by	by	ADP
ejpam-798	19	45	[	[	X
ejpam-798	19	46	18	18	NUM
ejpam-798	19	47	]	]	PUNCT
ejpam-798	19	48	,	,	PUNCT
ejpam-798	19	49	designed	design	VERB
ejpam-798	19	50	to	to	PART
ejpam-798	19	51	better	well	ADV
ejpam-798	19	52	describe	describe	VERB
ejpam-798	19	53	finite	finite	PROPN
ejpam-798	19	54	sample	sample	NOUN
ejpam-798	19	55	estimator	estimator	NOUN
ejpam-798	19	56	distributions	distribution	NOUN
ejpam-798	19	57	.	.	PUNCT
ejpam-798	20	1	the	the	DET
ejpam-798	20	2	estimators	estimator	NOUN
ejpam-798	20	3	we	we	PRON
ejpam-798	20	4	study	study	VERB
ejpam-798	20	5	are	be	AUX
ejpam-798	20	6	shrinkage	shrinkage	NOUN
ejpam-798	20	7	estimators	estimator	NOUN
ejpam-798	20	8	that	that	PRON
ejpam-798	20	9	have	have	AUX
ejpam-798	20	10	themselves	themselves	PRON
ejpam-798	20	11	been	be	AUX
ejpam-798	20	12	taken	take	VERB
ejpam-798	20	13	in	in	ADP
ejpam-798	20	14	a	a	DET
ejpam-798	20	15	novel	novel	ADJ
ejpam-798	20	16	direction	direction	NOUN
ejpam-798	20	17	.	.	PUNCT
ejpam-798	21	1	indeed	indeed	ADV
ejpam-798	21	2	,	,	PUNCT
ejpam-798	21	3	the	the	DET
ejpam-798	21	4	seminal	seminal	ADJ
ejpam-798	21	5	work	work	NOUN
ejpam-798	21	6	of	of	ADP
ejpam-798	21	7	[	[	X
ejpam-798	21	8	17	17	NUM
ejpam-798	21	9	]	]	PUNCT
ejpam-798	21	10	and	and	CCONJ
ejpam-798	21	11	[	[	X
ejpam-798	21	12	11	11	NUM
ejpam-798	21	13	]	]	PUNCT
ejpam-798	21	14	transformed	transform	VERB
ejpam-798	21	15	statistical	statistical	ADJ
ejpam-798	21	16	thinking	thinking	NOUN
ejpam-798	21	17	by	by	ADP
ejpam-798	21	18	showing	show	VERB
ejpam-798	21	19	the	the	DET
ejpam-798	21	20	inadmissibility	inadmissibility	NOUN
ejpam-798	21	21	of	of	ADP
ejpam-798	21	22	the	the	DET
ejpam-798	21	23	ordinary	ordinary	ADJ
ejpam-798	21	24	least	least	ADJ
ejpam-798	21	25	squares	square	NOUN
ejpam-798	21	26	(	(	PUNCT
ejpam-798	21	27	ols	ols	PROPN
ejpam-798	21	28	)	)	PUNCT
ejpam-798	21	29	estimator	estimator	NOUN
ejpam-798	21	30	and	and	CCONJ
ejpam-798	21	31	initiating	initiate	VERB
ejpam-798	21	32	an	an	DET
ejpam-798	21	33	entire	entire	ADJ
ejpam-798	21	34	field	field	NOUN
ejpam-798	21	35	devoted	devote	VERB
ejpam-798	21	36	to	to	ADP
ejpam-798	21	37	the	the	DET
ejpam-798	21	38	study	study	NOUN
ejpam-798	21	39	of	of	ADP
ejpam-798	21	40	shrinkage	shrinkage	NOUN
ejpam-798	21	41	techniques	technique	NOUN
ejpam-798	21	42	designed	design	VERB
ejpam-798	21	43	to	to	PART
ejpam-798	21	44	gain	gain	VERB
ejpam-798	21	45	the	the	DET
ejpam-798	21	46	"	"	PUNCT
ejpam-798	21	47	optimal	optimal	ADJ
ejpam-798	21	48	trade	trade	NOUN
ejpam-798	21	49	-	-	PUNCT
ejpam-798	21	50	off	off	NOUN
ejpam-798	21	51	"	"	PUNCT
ejpam-798	21	52	between	between	ADP
ejpam-798	21	53	bias	bias	NOUN
ejpam-798	21	54	and	and	CCONJ
ejpam-798	21	55	variance	variance	NOUN
ejpam-798	21	56	.	.	PUNCT
ejpam-798	22	1	at	at	ADP
ejpam-798	22	2	the	the	DET
ejpam-798	22	3	outset	outset	NOUN
ejpam-798	22	4	,	,	PUNCT
ejpam-798	22	5	most	most	ADJ
ejpam-798	22	6	research	research	NOUN
ejpam-798	22	7	in	in	ADP
ejpam-798	22	8	this	this	DET
ejpam-798	22	9	area	area	NOUN
ejpam-798	22	10	focused	focus	VERB
ejpam-798	22	11	exclusively	exclusively	ADV
ejpam-798	22	12	on	on	ADP
ejpam-798	22	13	shrinking	shrink	VERB
ejpam-798	22	14	a	a	DET
ejpam-798	22	15	given	give	VERB
ejpam-798	22	16	base	base	NOUN
ejpam-798	22	17	estimator	estimator	NOUN
ejpam-798	22	18	towards	towards	ADP
ejpam-798	22	19	a	a	DET
ejpam-798	22	20	fixed	fix	VERB
ejpam-798	22	21	point	point	NOUN
ejpam-798	22	22	,	,	PUNCT
ejpam-798	22	23	such	such	ADJ
ejpam-798	22	24	as	as	ADP
ejpam-798	22	25	zero	zero	NUM
ejpam-798	22	26	.	.	PUNCT
ejpam-798	23	1	as	as	SCONJ
ejpam-798	23	2	is	be	AUX
ejpam-798	23	3	well	well	ADV
ejpam-798	23	4	understood	understand	VERB
ejpam-798	23	5	,	,	PUNCT
ejpam-798	23	6	this	this	DET
ejpam-798	23	7	shrinkage	shrinkage	NOUN
ejpam-798	23	8	vanishes	vanish	VERB
ejpam-798	23	9	asymptotically	asymptotically	ADV
ejpam-798	23	10	.	.	PUNCT
ejpam-798	24	1	subsequently	subsequently	ADV
ejpam-798	24	2	,	,	PUNCT
ejpam-798	24	3	researchers	researcher	NOUN
ejpam-798	24	4	’	’	PART
ejpam-798	24	5	understanding	understanding	NOUN
ejpam-798	24	6	of	of	ADP
ejpam-798	24	7	the	the	DET
ejpam-798	24	8	issues	issue	NOUN
ejpam-798	24	9	involved	involve	VERB
ejpam-798	24	10	in	in	ADP
ejpam-798	24	11	shrinkage	shrinkage	NOUN
ejpam-798	24	12	deepened	deepen	VERB
ejpam-798	24	13	,	,	PUNCT
ejpam-798	24	14	and	and	CCONJ
ejpam-798	24	15	a	a	DET
ejpam-798	24	16	different	different	ADJ
ejpam-798	24	17	shrinkage	shrinkage	NOUN
ejpam-798	24	18	approach	approach	NOUN
ejpam-798	24	19	emerged	emerge	VERB
ejpam-798	24	20	,	,	PUNCT
ejpam-798	25	1	one	one	NUM
ejpam-798	25	2	that	that	PRON
ejpam-798	25	3	shrinks	shrink	VERB
ejpam-798	25	4	estimators	estimator	NOUN
ejpam-798	25	5	towards	towards	ADP
ejpam-798	25	6	a	a	DET
ejpam-798	25	7	data	data	NOUN
ejpam-798	25	8	-	-	PUNCT
ejpam-798	25	9	dependent	dependent	ADJ
ejpam-798	25	10	point	point	NOUN
ejpam-798	25	11	.	.	PUNCT
ejpam-798	26	1	see	see	VERB
ejpam-798	26	2	,	,	PUNCT
ejpam-798	26	3	for	for	ADP
ejpam-798	26	4	example	example	NOUN
ejpam-798	26	5	,	,	PUNCT
ejpam-798	26	6	[	[	X
ejpam-798	26	7	15	15	NUM
ejpam-798	26	8	,	,	PUNCT
ejpam-798	26	9	16	16	NUM
ejpam-798	26	10	]	]	PUNCT
ejpam-798	26	11	.	.	PUNCT
ejpam-798	27	1	in	in	ADP
ejpam-798	27	2	contrast	contrast	NOUN
ejpam-798	27	3	to	to	ADP
ejpam-798	27	4	fixed	fix	VERB
ejpam-798	27	5	point	point	NOUN
ejpam-798	27	6	shrinkage	shrinkage	NOUN
ejpam-798	27	7	,	,	PUNCT
ejpam-798	27	8	data	datum	NOUN
ejpam-798	27	9	-	-	PUNCT
ejpam-798	27	10	dependent	dependent	ADJ
ejpam-798	27	11	shrinkage	shrinkage	NOUN
ejpam-798	27	12	does	do	AUX
ejpam-798	27	13	not	not	PART
ejpam-798	27	14	vanish	vanish	VERB
ejpam-798	27	15	asymptotically	asymptotically	ADV
ejpam-798	27	16	.	.	PUNCT
ejpam-798	28	1	this	this	DET
ejpam-798	28	2	approach	approach	NOUN
ejpam-798	28	3	has	have	AUX
ejpam-798	28	4	been	be	AUX
ejpam-798	28	5	extended	extend	VERB
ejpam-798	28	6	to	to	ADP
ejpam-798	28	7	a	a	DET
ejpam-798	28	8	fairly	fairly	ADV
ejpam-798	28	9	general	general	ADJ
ejpam-798	28	10	context	context	NOUN
ejpam-798	28	11	by	by	ADP
ejpam-798	28	12	[	[	X
ejpam-798	28	13	13	13	NUM
ejpam-798	28	14	]	]	PUNCT
ejpam-798	28	15	,	,	PUNCT
ejpam-798	28	16	where	where	SCONJ
ejpam-798	28	17	the	the	DET
ejpam-798	28	18	datadependent	datadependent	NOUN
ejpam-798	28	19	point	point	NOUN
ejpam-798	28	20	can	can	AUX
ejpam-798	28	21	be	be	AUX
ejpam-798	28	22	any	any	DET
ejpam-798	28	23	other	other	ADJ
ejpam-798	28	24	potentially	potentially	ADV
ejpam-798	28	25	biased	bias	VERB
ejpam-798	28	26	estimator	estimator	NOUN
ejpam-798	28	27	for	for	ADP
ejpam-798	28	28	the	the	DET
ejpam-798	28	29	same	same	ADJ
ejpam-798	28	30	parameter	parameter	NOUN
ejpam-798	28	31	of	of	ADP
ejpam-798	28	32	interest	interest	NOUN
ejpam-798	28	33	and	and	CCONJ
ejpam-798	28	34	is	be	AUX
ejpam-798	28	35	allowed	allow	VERB
ejpam-798	28	36	to	to	PART
ejpam-798	28	37	be	be	AUX
ejpam-798	28	38	correlated	correlate	VERB
ejpam-798	28	39	with	with	ADP
ejpam-798	28	40	the	the	DET
ejpam-798	28	41	base	base	NOUN
ejpam-798	28	42	estimator	estimator	NOUN
ejpam-798	28	43	itself	itself	PRON
ejpam-798	28	44	.	.	PUNCT
ejpam-798	29	1	the	the	DET
ejpam-798	29	2	method	method	NOUN
ejpam-798	29	3	proposed	propose	VERB
ejpam-798	29	4	in	in	ADP
ejpam-798	29	5	[	[	X
ejpam-798	29	6	13	13	NUM
ejpam-798	29	7	]	]	PUNCT
ejpam-798	29	8	can	can	AUX
ejpam-798	29	9	thus	thus	ADV
ejpam-798	29	10	be	be	AUX
ejpam-798	29	11	viewed	view	VERB
ejpam-798	29	12	as	as	ADP
ejpam-798	29	13	a	a	DET
ejpam-798	29	14	general	general	ADJ
ejpam-798	29	15	way	way	NOUN
ejpam-798	29	16	to	to	PART
ejpam-798	29	17	combine	combine	VERB
ejpam-798	29	18	two	two	NUM
ejpam-798	29	19	different	different	ADJ
ejpam-798	29	20	estimators	estimator	NOUN
ejpam-798	29	21	to	to	PART
ejpam-798	29	22	improve	improve	VERB
ejpam-798	29	23	estimation	estimation	NOUN
ejpam-798	29	24	risk	risk	NOUN
ejpam-798	29	25	and	and	CCONJ
ejpam-798	29	26	prediction	prediction	NOUN
ejpam-798	29	27	precision	precision	NOUN
ejpam-798	29	28	.	.	PUNCT
ejpam-798	30	1	a	a	DET
ejpam-798	30	2	finite	finite	ADJ
ejpam-798	30	3	sample	sample	NOUN
ejpam-798	30	4	counterpart	counterpart	NOUN
ejpam-798	30	5	of	of	ADP
ejpam-798	30	6	the	the	DET
ejpam-798	30	7	kim	kim	PROPN
ejpam-798	30	8	and	and	CCONJ
ejpam-798	30	9	white	white	PROPN
ejpam-798	30	10	estimator	estimator	NOUN
ejpam-798	30	11	has	have	AUX
ejpam-798	30	12	been	be	AUX
ejpam-798	30	13	developed	develop	VERB
ejpam-798	30	14	by	by	ADP
ejpam-798	30	15	[	[	X
ejpam-798	30	16	12	12	NUM
ejpam-798	30	17	]	]	X
ejpam-798	30	18	;	;	PUNCT
ejpam-798	30	19	in	in	ADP
ejpam-798	30	20	[	[	X
ejpam-798	30	21	14	14	NUM
ejpam-798	30	22	]	]	PUNCT
ejpam-798	30	23	,	,	PUNCT
ejpam-798	30	24	this	this	DET
ejpam-798	30	25	approach	approach	NOUN
ejpam-798	30	26	was	be	AUX
ejpam-798	30	27	used	use	VERB
ejpam-798	30	28	to	to	PART
ejpam-798	30	29	combine	combine	VERB
ejpam-798	30	30	the	the	DET
ejpam-798	30	31	biased	biased	ADJ
ejpam-798	30	32	ols	ol	NOUN
ejpam-798	30	33	estimator	estimator	NOUN
ejpam-798	30	34	and	and	CCONJ
ejpam-798	30	35	the	the	DET
ejpam-798	30	36	unbiased	unbiased	ADJ
ejpam-798	30	37	2sls	2sls	NUM
ejpam-798	30	38	estimator	estimator	NOUN
ejpam-798	30	39	in	in	ADP
ejpam-798	30	40	the	the	DET
ejpam-798	30	41	presence	presence	NOUN
ejpam-798	30	42	of	of	ADP
ejpam-798	30	43	endogeneity	endogeneity	NOUN
ejpam-798	30	44	.	.	PUNCT
ejpam-798	31	1	nevertheless	nevertheless	ADV
ejpam-798	31	2	,	,	PUNCT
ejpam-798	31	3	a	a	DET
ejpam-798	31	4	drawback	drawback	NOUN
ejpam-798	31	5	of	of	ADP
ejpam-798	31	6	the	the	DET
ejpam-798	31	7	shrinkage	shrinkage	NOUN
ejpam-798	31	8	estimators	estimator	NOUN
ejpam-798	31	9	developed	develop	VERB
ejpam-798	31	10	in	in	ADP
ejpam-798	31	11	[	[	X
ejpam-798	31	12	13	13	NUM
ejpam-798	31	13	]	]	PUNCT
ejpam-798	31	14	has	have	AUX
ejpam-798	31	15	been	be	AUX
ejpam-798	31	16	the	the	DET
ejpam-798	31	17	lack	lack	NOUN
ejpam-798	31	18	of	of	ADP
ejpam-798	31	19	a	a	DET
ejpam-798	31	20	measure	measure	NOUN
ejpam-798	31	21	of	of	ADP
ejpam-798	31	22	precision	precision	NOUN
ejpam-798	31	23	.	.	PUNCT
ejpam-798	32	1	the	the	DET
ejpam-798	32	2	usual	usual	ADJ
ejpam-798	32	3	gaussian	gaussian	ADJ
ejpam-798	32	4	asymptotics	asymptotic	NOUN
ejpam-798	32	5	do	do	AUX
ejpam-798	32	6	not	not	PART
ejpam-798	32	7	apply	apply	VERB
ejpam-798	32	8	,	,	PUNCT
ejpam-798	32	9	as	as	SCONJ
ejpam-798	32	10	the	the	DET
ejpam-798	32	11	limiting	limit	VERB
ejpam-798	32	12	distribution	distribution	NOUN
ejpam-798	32	13	of	of	ADP
ejpam-798	32	14	these	these	DET
ejpam-798	32	15	shrinkage	shrinkage	NOUN
ejpam-798	32	16	estimators	estimator	NOUN
ejpam-798	32	17	is	be	AUX
ejpam-798	32	18	,	,	PUNCT
ejpam-798	32	19	as	as	SCONJ
ejpam-798	32	20	alluded	allude	VERB
ejpam-798	32	21	to	to	ADP
ejpam-798	32	22	above	above	ADV
ejpam-798	32	23	,	,	PUNCT
ejpam-798	32	24	not	not	PART
ejpam-798	32	25	normal	normal	ADJ
ejpam-798	32	26	.	.	PUNCT
ejpam-798	33	1	instead	instead	ADV
ejpam-798	33	2	,	,	PUNCT
ejpam-798	33	3	it	it	PRON
ejpam-798	33	4	is	be	AUX
ejpam-798	33	5	a	a	DET
ejpam-798	33	6	nonlinear	nonlinear	ADJ
ejpam-798	33	7	function	function	NOUN
ejpam-798	33	8	of	of	ADP
ejpam-798	33	9	a	a	DET
ejpam-798	33	10	normal	normal	ADJ
ejpam-798	33	11	random	random	ADJ
ejpam-798	33	12	vector	vector	NOUN
ejpam-798	33	13	.	.	PUNCT
ejpam-798	34	1	here	here	ADV
ejpam-798	34	2	we	we	PRON
ejpam-798	34	3	propose	propose	VERB
ejpam-798	34	4	bootstrap	bootstrap	NOUN
ejpam-798	34	5	methods	method	NOUN
ejpam-798	34	6	to	to	PART
ejpam-798	34	7	fill	fill	VERB
ejpam-798	34	8	this	this	DET
ejpam-798	34	9	gap	gap	NOUN
ejpam-798	34	10	.	.	PUNCT
ejpam-798	35	1	using	use	VERB
ejpam-798	35	2	the	the	DET
ejpam-798	35	3	bootstrap	bootstrap	NOUN
ejpam-798	35	4	to	to	PART
ejpam-798	35	5	obtain	obtain	VERB
ejpam-798	35	6	the	the	DET
ejpam-798	35	7	sampling	sample	VERB
ejpam-798	35	8	distribution	distribution	NOUN
ejpam-798	35	9	of	of	ADP
ejpam-798	35	10	shrinkage	shrinkage	NOUN
ejpam-798	35	11	estimators	estimator	NOUN
ejpam-798	35	12	is	be	AUX
ejpam-798	35	13	a	a	DET
ejpam-798	35	14	familiar	familiar	ADJ
ejpam-798	35	15	approach	approach	NOUN
ejpam-798	35	16	in	in	ADP
ejpam-798	35	17	the	the	DET
ejpam-798	35	18	literature	literature	NOUN
ejpam-798	35	19	.	.	PUNCT
ejpam-798	36	1	vinod	vinod	PROPN
ejpam-798	36	2	and	and	CCONJ
ejpam-798	36	3	raj	raj	PROPN
ejpam-798	37	1	[	[	X
ejpam-798	37	2	20	20	NUM
ejpam-798	37	3	]	]	PUNCT
ejpam-798	37	4	apply	apply	VERB
ejpam-798	37	5	a	a	DET
ejpam-798	37	6	bootstrap	bootstrap	NOUN
ejpam-798	37	7	method	method	NOUN
ejpam-798	37	8	to	to	ADP
ejpam-798	37	9	a	a	DET
ejpam-798	37	10	ridge	ridge	NOUN
ejpam-798	37	11	-	-	PUNCT
ejpam-798	37	12	type	type	NOUN
ejpam-798	37	13	shrinkage	shrinkage	NOUN
ejpam-798	37	14	estimator	estimator	NOUN
ejpam-798	37	15	to	to	PART
ejpam-798	37	16	investigate	investigate	VERB
ejpam-798	37	17	economic	economic	ADJ
ejpam-798	37	18	issues	issue	NOUN
ejpam-798	37	19	in	in	ADP
ejpam-798	37	20	the	the	DET
ejpam-798	37	21	bell	bell	NOUN
ejpam-798	37	22	system	system	NOUN
ejpam-798	37	23	divestiture	divestiture	NOUN
ejpam-798	37	24	.	.	PUNCT
ejpam-798	38	1	brownstone	brownstone	NOUN
ejpam-798	39	1	[	[	X
ejpam-798	39	2	3	3	NUM
ejpam-798	39	3	]	]	X
ejpam-798	39	4	bootstraps	bootstrap	NOUN
ejpam-798	39	5	two	two	NUM
ejpam-798	39	6	shrinkage	shrinkage	NOUN
ejpam-798	39	7	estimators	estimator	NOUN
ejpam-798	39	8	:	:	PUNCT
ejpam-798	39	9	mundlak	mundlak	PROPN
ejpam-798	39	10	’s	’s	PART
ejpam-798	39	11	restricted	restricted	ADJ
ejpam-798	39	12	principal	principal	ADJ
ejpam-798	39	13	-	-	PUNCT
ejpam-798	39	14	components	component	NOUN
ejpam-798	39	15	estimator	estimator	NOUN
ejpam-798	39	16	and	and	CCONJ
ejpam-798	39	17	a	a	DET
ejpam-798	39	18	stein	stein	NOUN
ejpam-798	39	19	-	-	PUNCT
ejpam-798	39	20	rule	rule	NOUN
ejpam-798	39	21	estimator	estimator	NOUN
ejpam-798	39	22	that	that	PRON
ejpam-798	39	23	shrinks	shrink	VERB
ejpam-798	39	24	the	the	DET
ejpam-798	39	25	ols	ol	NOUN
ejpam-798	39	26	estimator	estimator	NOUN
ejpam-798	39	27	toward	toward	ADP
ejpam-798	39	28	the	the	DET
ejpam-798	39	29	mundlak	mundlak	ADJ
ejpam-798	39	30	estimator	estimator	NOUN
ejpam-798	39	31	.	.	PUNCT
ejpam-798	40	1	brownstone	brownstone	PROPN
ejpam-798	40	2	uses	use	VERB
ejpam-798	40	3	non	non	ADJ
ejpam-798	40	4	-	-	ADJ
ejpam-798	40	5	pivotal	pivotal	ADJ
ejpam-798	40	6	statistics	statistic	NOUN
ejpam-798	40	7	,	,	PUNCT
ejpam-798	40	8	i.e.	i.e.	X
ejpam-798	40	9	,	,	PUNCT
ejpam-798	40	10	the	the	DET
ejpam-798	40	11	percentile	percentile	ADJ
ejpam-798	40	12	method	method	NOUN
ejpam-798	40	13	,	,	PUNCT
ejpam-798	40	14	to	to	PART
ejpam-798	40	15	get	get	VERB
ejpam-798	40	16	the	the	DET
ejpam-798	40	17	sampling	sampling	NOUN
ejpam-798	40	18	distributions	distribution	NOUN
ejpam-798	40	19	.	.	PUNCT
ejpam-798	41	1	he	he	PRON
ejpam-798	41	2	shows	show	VERB
ejpam-798	41	3	that	that	SCONJ
ejpam-798	41	4	the	the	DET
ejpam-798	41	5	non	non	ADJ
ejpam-798	41	6	-	-	ADJ
ejpam-798	41	7	parametric	parametric	ADJ
ejpam-798	41	8	bootstrap	bootstrap	NOUN
ejpam-798	41	9	provides	provide	VERB
ejpam-798	41	10	a	a	DET
ejpam-798	41	11	good	good	ADJ
ejpam-798	41	12	estimate	estimate	NOUN
ejpam-798	41	13	of	of	ADP
ejpam-798	41	14	the	the	DET
ejpam-798	41	15	estimator	estimator	NOUN
ejpam-798	41	16	’s	’s	PART
ejpam-798	41	17	risk	risk	NOUN
ejpam-798	41	18	and	and	CCONJ
ejpam-798	41	19	standard	standard	ADJ
ejpam-798	41	20	errors	error	NOUN
ejpam-798	41	21	.	.	PUNCT
ejpam-798	42	1	vinod	vinod	PROPN
ejpam-798	43	1	[	[	X
ejpam-798	43	2	19	19	NUM
ejpam-798	43	3	]	]	PUNCT
ejpam-798	43	4	provides	provide	VERB
ejpam-798	43	5	a	a	DET
ejpam-798	43	6	solution	solution	NOUN
ejpam-798	43	7	to	to	ADP
ejpam-798	43	8	the	the	DET
ejpam-798	43	9	non	non	ADJ
ejpam-798	43	10	-	-	ADJ
ejpam-798	43	11	pivotal	pivotal	ADJ
ejpam-798	43	12	problem	problem	NOUN
ejpam-798	43	13	for	for	ADP
ejpam-798	43	14	ridge	ridge	NOUN
ejpam-798	43	15	regression	regression	NOUN
ejpam-798	43	16	by	by	ADP
ejpam-798	43	17	applying	apply	VERB
ejpam-798	43	18	beran	beran	NOUN
ejpam-798	43	19	’s	’s	PART
ejpam-798	43	20	double	double	ADJ
ejpam-798	43	21	bootstrap	bootstrap	NOUN
ejpam-798	43	22	.	.	PUNCT
ejpam-798	44	1	this	this	DET
ejpam-798	44	2	method	method	NOUN
ejpam-798	44	3	involves	involve	VERB
ejpam-798	44	4	a	a	DET
ejpam-798	44	5	bootstrap	bootstrap	NOUN
ejpam-798	44	6	within	within	ADP
ejpam-798	44	7	a	a	DET
ejpam-798	44	8	bootstrap	bootstrap	NOUN
ejpam-798	44	9	,	,	PUNCT
ejpam-798	44	10	which	which	PRON
ejpam-798	44	11	is	be	AUX
ejpam-798	44	12	computationally	computationally	ADV
ejpam-798	44	13	intensive	intensive	ADJ
ejpam-798	44	14	.	.	PUNCT
ejpam-798	45	1	the	the	DET
ejpam-798	45	2	importance	importance	NOUN
ejpam-798	45	3	of	of	ADP
ejpam-798	45	4	using	use	VERB
ejpam-798	45	5	pivotal	pivotal	ADJ
ejpam-798	45	6	statistics	statistic	NOUN
ejpam-798	45	7	to	to	PART
ejpam-798	45	8	get	get	VERB
ejpam-798	45	9	a	a	DET
ejpam-798	45	10	better	well	ADJ
ejpam-798	45	11	bootstrap	bootstrap	NOUN
ejpam-798	45	12	confidence	confidence	NOUN
ejpam-798	45	13	interval	interval	NOUN
ejpam-798	45	14	is	be	AUX
ejpam-798	45	15	well	well	ADV
ejpam-798	45	16	known	know	VERB
ejpam-798	45	17	.	.	PUNCT
ejpam-798	46	1	see	see	VERB
ejpam-798	46	2	,	,	PUNCT
ejpam-798	46	3	for	for	ADP
ejpam-798	46	4	example	example	NOUN
ejpam-798	46	5	,	,	PUNCT
ejpam-798	46	6	[	[	X
ejpam-798	46	7	2	2	NUM
ejpam-798	46	8	,	,	PUNCT
ejpam-798	46	9	8	8	NUM
ejpam-798	46	10	,	,	PUNCT
ejpam-798	46	11	9	9	NUM
ejpam-798	46	12	]	]	PUNCT
ejpam-798	46	13	.	.	PUNCT
ejpam-798	47	1	in	in	ADP
ejpam-798	47	2	this	this	DET
ejpam-798	47	3	paper	paper	NOUN
ejpam-798	47	4	,	,	PUNCT
ejpam-798	47	5	we	we	PRON
ejpam-798	47	6	focus	focus	VERB
ejpam-798	47	7	on	on	ADP
ejpam-798	47	8	bootstrapping	bootstrappe	VERB
ejpam-798	47	9	james	james	PROPN
ejpam-798	47	10	-	-	PUNCT
ejpam-798	47	11	steintype	steintype	NOUN
ejpam-798	47	12	estimators	estimator	NOUN
ejpam-798	47	13	that	that	PRON
ejpam-798	47	14	shrink	shrink	VERB
ejpam-798	47	15	towards	towards	ADP
ejpam-798	47	16	a	a	DET
ejpam-798	47	17	data	data	NOUN
ejpam-798	47	18	-	-	PUNCT
ejpam-798	47	19	dependent	dependent	ADJ
ejpam-798	47	20	point	point	NOUN
ejpam-798	47	21	,	,	PUNCT
ejpam-798	47	22	working	work	VERB
ejpam-798	47	23	with	with	ADP
ejpam-798	47	24	pivotal	pivotal	ADJ
ejpam-798	47	25	statistics	statistic	NOUN
ejpam-798	47	26	obtained	obtain	VERB
ejpam-798	47	27	by	by	ADP
ejpam-798	47	28	using	use	VERB
ejpam-798	47	29	lemmas	lemmas	PROPN
ejpam-798	47	30	1	1	NUM
ejpam-798	47	31	and	and	CCONJ
ejpam-798	47	32	2	2	NUM
ejpam-798	47	33	of	of	ADP
ejpam-798	47	34	[	[	X
ejpam-798	47	35	18	18	NUM
ejpam-798	47	36	]	]	PUNCT
ejpam-798	47	37	.	.	PUNCT
ejpam-798	48	1	we	we	PRON
ejpam-798	48	2	then	then	ADV
ejpam-798	48	3	use	use	VERB
ejpam-798	48	4	these	these	DET
ejpam-798	48	5	pivotal	pivotal	ADJ
ejpam-798	48	6	statistics	statistic	NOUN
ejpam-798	48	7	for	for	ADP
ejpam-798	48	8	the	the	DET
ejpam-798	48	9	bootstrapping	bootstrappe	VERB
ejpam-798	48	10	approximation	approximation	NOUN
ejpam-798	48	11	to	to	PART
ejpam-798	48	12	obtain	obtain	VERB
ejpam-798	48	13	standard	standard	ADJ
ejpam-798	48	14	errors	error	NOUN
ejpam-798	48	15	and	and	CCONJ
ejpam-798	48	16	confidence	confidence	NOUN
ejpam-798	48	17	intervals	interval	NOUN
ejpam-798	48	18	for	for	ADP
ejpam-798	48	19	our	our	PRON
ejpam-798	48	20	jamesstein	jamesstein	ADJ
ejpam-798	48	21	-	-	PUNCT
ejpam-798	48	22	type	type	NOUN
ejpam-798	48	23	shrinkage	shrinkage	NOUN
ejpam-798	48	24	estimators	estimator	NOUN
ejpam-798	48	25	.	.	PUNCT
ejpam-798	49	1	t.	t.	PROPN
ejpam-798	49	2	kim	kim	PROPN
ejpam-798	49	3	and	and	CCONJ
ejpam-798	49	4	h.	h.	PROPN
ejpam-798	49	5	white	white	PROPN
ejpam-798	49	6	/	/	SYM
ejpam-798	49	7	eur	eur	PROPN
ejpam-798	49	8	.	.	PUNCT
ejpam-798	50	1	j.	j.	PROPN
ejpam-798	50	2	pure	pure	PROPN
ejpam-798	50	3	appl	appl	PROPN
ejpam-798	50	4	.	.	PROPN
ejpam-798	50	5	math	math	PROPN
ejpam-798	50	6	,	,	PUNCT
ejpam-798	50	7	3	3	NUM
ejpam-798	50	8	(	(	PUNCT
ejpam-798	50	9	2010	2010	NUM
ejpam-798	50	10	)	)	PUNCT
ejpam-798	50	11	,	,	PUNCT
ejpam-798	50	12	371	371	NUM
ejpam-798	50	13	-	-	SYM
ejpam-798	50	14	381	381	NUM
ejpam-798	50	15	373	373	NUM
ejpam-798	50	16	2	2	NUM
ejpam-798	50	17	.	.	PUNCT
ejpam-798	51	1	the	the	DET
ejpam-798	51	2	shrinkage	shrinkage	NOUN
ejpam-798	51	3	estimator	estimator	NOUN
ejpam-798	51	4	and	and	CCONJ
ejpam-798	51	5	its	its	PRON
ejpam-798	51	6	asymptotic	asymptotic	ADJ
ejpam-798	51	7	moments	moment	NOUN
ejpam-798	51	8	suppose	suppose	VERB
ejpam-798	51	9	that	that	SCONJ
ejpam-798	51	10	one	one	NOUN
ejpam-798	51	11	is	be	AUX
ejpam-798	51	12	interested	interested	ADJ
ejpam-798	51	13	in	in	ADP
ejpam-798	51	14	estimating	estimate	VERB
ejpam-798	51	15	a	a	DET
ejpam-798	51	16	k	k	ADV
ejpam-798	51	17	-	-	ADJ
ejpam-798	51	18	dimensional	dimensional	ADJ
ejpam-798	51	19	parameter	parameter	NOUN
ejpam-798	51	20	vector	vector	NOUN
ejpam-798	51	21	β0	β0	NOUN
ejpam-798	51	22	from	from	ADP
ejpam-798	51	23	data	datum	NOUN
ejpam-798	51	24	generated	generate	VERB
ejpam-798	51	25	as	as	ADP
ejpam-798	51	26	yt	yt	NOUN
ejpam-798	51	27	=	=	NOUN
ejpam-798	51	28	x	x	SYM
ejpam-798	51	29	′tβ	′tβ	NOUN
ejpam-798	51	30	0	0	PUNCT
ejpam-798	52	1	+	+	CCONJ
ejpam-798	52	2	ǫt	ǫt	PROPN
ejpam-798	52	3	,	,	PUNCT
ejpam-798	52	4	t	t	NOUN
ejpam-798	52	5	=	=	SYM
ejpam-798	52	6	1,2	1,2	NUM
ejpam-798	52	7	,	,	PUNCT
ejpam-798	52	8	.	.	PUNCT
ejpam-798	52	9	.	.	PUNCT
ejpam-798	53	1	.	.	PUNCT
ejpam-798	54	1	,	,	PUNCT
ejpam-798	54	2	n	n	CCONJ
ejpam-798	54	3	,	,	PUNCT
ejpam-798	54	4	where	where	SCONJ
ejpam-798	54	5	we	we	PRON
ejpam-798	54	6	assume	assume	VERB
ejpam-798	54	7	that	that	SCONJ
ejpam-798	54	8	(	(	PUNCT
ejpam-798	54	9	i	i	NOUN
ejpam-798	54	10	)	)	PUNCT
ejpam-798	54	11	(	(	PUNCT
ejpam-798	54	12	x	x	X
ejpam-798	54	13	′t	′t	NOUN
ejpam-798	54	14	,	,	PUNCT
ejpam-798	54	15	ǫt	ǫt	PROPN
ejpam-798	54	16	)	)	PUNCT
ejpam-798	54	17	is	be	AUX
ejpam-798	54	18	independent	independent	ADJ
ejpam-798	54	19	and	and	CCONJ
ejpam-798	54	20	identically	identically	ADV
ejpam-798	54	21	distributed	distribute	VERB
ejpam-798	54	22	(	(	PUNCT
ejpam-798	54	23	iid	iid	NOUN
ejpam-798	54	24	)	)	PUNCT
ejpam-798	54	25	;	;	PUNCT
ejpam-798	54	26	and	and	CCONJ
ejpam-798	54	27	(	(	PUNCT
ejpam-798	54	28	ii	ii	NOUN
ejpam-798	54	29	)	)	PUNCT
ejpam-798	54	30	e(ǫt	e(ǫt	PROPN
ejpam-798	54	31	)	)	PUNCT
ejpam-798	55	1	=	=	SYM
ejpam-798	55	2	0	0	NUM
ejpam-798	55	3	,	,	PUNCT
ejpam-798	55	4	0	0	NUM
ejpam-798	55	5	<	<	X
ejpam-798	55	6	σ2	σ2	PROPN
ejpam-798	55	7	≡	≡	PROPN
ejpam-798	55	8	var(ǫt)<∞.	var(ǫt)<∞.	PROPN
ejpam-798	55	9	suppose	suppose	VERB
ejpam-798	55	10	that	that	SCONJ
ejpam-798	55	11	there	there	PRON
ejpam-798	55	12	is	be	VERB
ejpam-798	55	13	an	an	DET
ejpam-798	55	14	estimator	estimator	NOUN
ejpam-798	55	15	bn	bn	PROPN
ejpam-798	55	16	of	of	ADP
ejpam-798	55	17	β0	β0	PROPN
ejpam-798	55	18	based	base	VERB
ejpam-798	55	19	on	on	ADP
ejpam-798	55	20	n	n	PRON
ejpam-798	55	21	observations	observation	NOUN
ejpam-798	55	22	of	of	ADP
ejpam-798	55	23	yt	yt	PROPN
ejpam-798	55	24	and	and	CCONJ
ejpam-798	55	25	x	x	PROPN
ejpam-798	55	26	t	t	PROPN
ejpam-798	55	27	.	.	PUNCT
ejpam-798	56	1	traditional	traditional	ADJ
ejpam-798	56	2	jamesstein	jamesstein	ADJ
ejpam-798	56	3	estimators	estimator	NOUN
ejpam-798	56	4	shrink	shrink	VERB
ejpam-798	56	5	towards	towards	ADP
ejpam-798	56	6	a	a	DET
ejpam-798	56	7	fixed	fix	VERB
ejpam-798	56	8	point	point	NOUN
ejpam-798	56	9	,	,	PUNCT
ejpam-798	56	10	usually	usually	ADV
ejpam-798	56	11	zero	zero	NUM
ejpam-798	56	12	when	when	SCONJ
ejpam-798	56	13	there	there	PRON
ejpam-798	56	14	is	be	VERB
ejpam-798	56	15	no	no	DET
ejpam-798	56	16	prior	prior	ADJ
ejpam-798	56	17	information	information	NOUN
ejpam-798	56	18	.	.	PUNCT
ejpam-798	57	1	extending	extend	VERB
ejpam-798	57	2	earlier	early	ADJ
ejpam-798	57	3	proposals	proposal	NOUN
ejpam-798	57	4	,	,	PUNCT
ejpam-798	57	5	[	[	X
ejpam-798	57	6	13	13	NUM
ejpam-798	57	7	]	]	X
ejpam-798	57	8	propose	propose	AUX
ejpam-798	57	9	shrinking	shrink	VERB
ejpam-798	57	10	bn	bn	INTJ
ejpam-798	57	11	towards	towards	ADP
ejpam-798	57	12	a	a	DET
ejpam-798	57	13	data	data	NOUN
ejpam-798	57	14	-	-	PUNCT
ejpam-798	57	15	dependent	dependent	ADJ
ejpam-798	57	16	point	point	NOUN
ejpam-798	57	17	,	,	PUNCT
ejpam-798	57	18	gn	gn	PROPN
ejpam-798	57	19	,	,	PUNCT
ejpam-798	57	20	where	where	SCONJ
ejpam-798	57	21	the	the	DET
ejpam-798	57	22	base	base	NOUN
ejpam-798	57	23	estimator	estimator	NOUN
ejpam-798	57	24	bn	bn	PROPN
ejpam-798	57	25	and	and	CCONJ
ejpam-798	57	26	the	the	DET
ejpam-798	57	27	data	data	NOUN
ejpam-798	57	28	-	-	PUNCT
ejpam-798	57	29	dependent	dependent	ADJ
ejpam-798	57	30	point	point	NOUN
ejpam-798	57	31	gn	gn	PROPN
ejpam-798	57	32	are	be	AUX
ejpam-798	57	33	assumed	assume	VERB
ejpam-798	57	34	to	to	PART
ejpam-798	57	35	satisfy	satisfy	VERB
ejpam-798	57	36	the	the	DET
ejpam-798	57	37	following	follow	VERB
ejpam-798	57	38	mild	mild	ADJ
ejpam-798	57	39	condition	condition	NOUN
ejpam-798	57	40	:	:	PUNCT
ejpam-798	57	41	�	�	PROPN
ejpam-798	57	42	n1/2(bn−	n1/2(bn−	PROPN
ejpam-798	57	43	β	β	X
ejpam-798	57	44	0	0	NUM
ejpam-798	57	45	)	)	PUNCT
ejpam-798	57	46	n1/2(gn−	n1/2(gn−	NOUN
ejpam-798	57	47	β	β	ADP
ejpam-798	57	48	0	0	X
ejpam-798	57	49	)	)	PUNCT
ejpam-798	57	50	�	�	PROPN
ejpam-798	58	1	d	d	PROPN
ejpam-798	58	2	→	→	SYM
ejpam-798	58	3	�	�	PROPN
ejpam-798	58	4	u1	u1	NOUN
ejpam-798	58	5	u2	u2	PROPN
ejpam-798	58	6	�	�	PROPN
ejpam-798	58	7	∼	∼	X
ejpam-798	58	8	n(ξ	n(ξ	PROPN
ejpam-798	58	9	,	,	PUNCT
ejpam-798	58	10	σ	σ	NOUN
ejpam-798	58	11	)	)	PUNCT
ejpam-798	58	12	,	,	PUNCT
ejpam-798	58	13	(	(	PUNCT
ejpam-798	58	14	1	1	X
ejpam-798	58	15	)	)	PUNCT
ejpam-798	58	16	where	where	SCONJ
ejpam-798	58	17	ξ	ξ	PROPN
ejpam-798	58	18	≡	≡	PROPN
ejpam-798	58	19	�	�	PROPN
ejpam-798	58	20	0	0	NUM
ejpam-798	58	21	θ	θ	PROPN
ejpam-798	58	22	�	�	PROPN
ejpam-798	58	23	,	,	PUNCT
ejpam-798	58	24	σ≡	σ≡	X
ejpam-798	58	25	�	�	PROPN
ejpam-798	58	26	a	a	DET
ejpam-798	58	27	∆	∆	PROPN
ejpam-798	58	28	∆′	∆′	PROPN
ejpam-798	58	29	b	b	PROPN
ejpam-798	58	30	�	�	PROPN
ejpam-798	58	31	,	,	PUNCT
ejpam-798	58	32	and	and	CCONJ
ejpam-798	58	33	a	a	DET
ejpam-798	58	34	,	,	PUNCT
ejpam-798	58	35	b	b	NOUN
ejpam-798	58	36	,	,	PUNCT
ejpam-798	58	37	and	and	CCONJ
ejpam-798	58	38	σ	σ	NOUN
ejpam-798	58	39	are	be	AUX
ejpam-798	58	40	symmetric	symmetric	ADJ
ejpam-798	58	41	positive	positive	ADJ
ejpam-798	58	42	definite	definite	ADJ
ejpam-798	58	43	matrices	matrix	NOUN
ejpam-798	58	44	.	.	PUNCT
ejpam-798	59	1	in	in	ADP
ejpam-798	59	2	their	their	PRON
ejpam-798	59	3	application	application	NOUN
ejpam-798	59	4	,	,	PUNCT
ejpam-798	59	5	kim	kim	PROPN
ejpam-798	59	6	and	and	CCONJ
ejpam-798	59	7	white	white	PROPN
ejpam-798	59	8	used	use	VERB
ejpam-798	59	9	the	the	DET
ejpam-798	59	10	least	least	ADJ
ejpam-798	59	11	absolute	absolute	ADJ
ejpam-798	59	12	deviations	deviation	NOUN
ejpam-798	59	13	(	(	PUNCT
ejpam-798	59	14	lad	lad	NOUN
ejpam-798	59	15	)	)	PUNCT
ejpam-798	59	16	estimator	estimator	NOUN
ejpam-798	59	17	for	for	ADP
ejpam-798	59	18	bn	bn	NOUN
ejpam-798	59	19	and	and	CCONJ
ejpam-798	59	20	the	the	DET
ejpam-798	59	21	ols	ol	NOUN
ejpam-798	59	22	estimator	estimator	NOUN
ejpam-798	59	23	for	for	ADP
ejpam-798	59	24	gn	gn	PROPN
ejpam-798	59	25	.	.	PROPN
ejpam-798	59	26	for	for	ADP
ejpam-798	59	27	concreteness	concreteness	NOUN
ejpam-798	59	28	,	,	PUNCT
ejpam-798	59	29	we	we	PRON
ejpam-798	59	30	will	will	AUX
ejpam-798	59	31	use	use	VERB
ejpam-798	59	32	the	the	DET
ejpam-798	59	33	same	same	ADJ
ejpam-798	59	34	estimators	estimator	NOUN
ejpam-798	59	35	here	here	ADV
ejpam-798	59	36	.	.	PUNCT
ejpam-798	60	1	the	the	DET
ejpam-798	60	2	"	"	PUNCT
ejpam-798	60	3	optimal	optimal	ADJ
ejpam-798	60	4	weighting	weighting	NOUN
ejpam-798	60	5	scheme	scheme	NOUN
ejpam-798	60	6	"	"	PUNCT
ejpam-798	60	7	(	(	PUNCT
ejpam-798	60	8	ows	ow	NOUN
ejpam-798	60	9	)	)	PUNCT
ejpam-798	60	10	estimator	estimator	NOUN
ejpam-798	60	11	is	be	AUX
ejpam-798	60	12	δow	δow	NOUN
ejpam-798	60	13	(	(	PUNCT
ejpam-798	60	14	bn	bn	PROPN
ejpam-798	60	15	,	,	PUNCT
ejpam-798	60	16	gn	gn	PROPN
ejpam-798	60	17	)	)	PUNCT
ejpam-798	60	18	=	=	SYM
ejpam-798	60	19	�	�	PROPN
ejpam-798	60	20	1−λ1	1−λ1	NUM
ejpam-798	60	21	−	−	NOUN
ejpam-798	61	1	λ2	λ2	NOUN
ejpam-798	61	2	(	(	PUNCT
ejpam-798	61	3	bn−	bn−	X
ejpam-798	61	4	gn	gn	NOUN
ejpam-798	61	5	)	)	PUNCT
ejpam-798	61	6	′qn(bn−	′qn(bn−	PROPN
ejpam-798	61	7	gn	gn	PROPN
ejpam-798	61	8	)	)	PUNCT
ejpam-798	61	9	�	�	PROPN
ejpam-798	61	10	(	(	PUNCT
ejpam-798	61	11	bn−	bn−	X
ejpam-798	61	12	gn	gn	PROPN
ejpam-798	61	13	)	)	PUNCT
ejpam-798	61	14	+	+	CCONJ
ejpam-798	61	15	gn	gn	PROPN
ejpam-798	61	16	,	,	PUNCT
ejpam-798	61	17	(	(	PUNCT
ejpam-798	61	18	2	2	X
ejpam-798	61	19	)	)	PUNCT
ejpam-798	61	20	where	where	SCONJ
ejpam-798	61	21	λ1	λ1	ADJ
ejpam-798	61	22	and	and	CCONJ
ejpam-798	61	23	λ2	λ2	NOUN
ejpam-798	61	24	are	be	AUX
ejpam-798	61	25	weights	weight	NOUN
ejpam-798	61	26	to	to	PART
ejpam-798	61	27	be	be	AUX
ejpam-798	61	28	optimally	optimally	ADV
ejpam-798	61	29	chosen	choose	VERB
ejpam-798	61	30	[	[	PUNCT
ejpam-798	61	31	see	see	VERB
ejpam-798	61	32	13	13	NUM
ejpam-798	61	33	]	]	PUNCT
ejpam-798	61	34	and	and	CCONJ
ejpam-798	61	35	qn	qn	NOUN
ejpam-798	61	36	is	be	AUX
ejpam-798	61	37	a	a	DET
ejpam-798	61	38	random	random	ADJ
ejpam-798	61	39	symmetric	symmetric	ADJ
ejpam-798	61	40	positive	positive	ADJ
ejpam-798	61	41	definite	definite	ADJ
ejpam-798	61	42	matrix	matrix	NOUN
ejpam-798	61	43	defining	define	VERB
ejpam-798	61	44	the	the	DET
ejpam-798	61	45	quadratic	quadratic	ADJ
ejpam-798	61	46	loss	loss	NOUN
ejpam-798	61	47	of	of	ADP
ejpam-798	61	48	estimation	estimation	NOUN
ejpam-798	61	49	,	,	PUNCT
ejpam-798	61	50	(	(	PUNCT
ejpam-798	61	51	bn	bn	ADP
ejpam-798	61	52	−	−	NOUN
ejpam-798	61	53	β	β	X
ejpam-798	61	54	0)′qn(bn	0)′qn(bn	NUM
ejpam-798	61	55	−	−	PROPN
ejpam-798	61	56	β	β	NOUN
ejpam-798	61	57	0	0	NUM
ejpam-798	61	58	)	)	PUNCT
ejpam-798	61	59	.	.	PUNCT
ejpam-798	62	1	we	we	PRON
ejpam-798	62	2	assume	assume	VERB
ejpam-798	62	3	that	that	SCONJ
ejpam-798	62	4	n−1qn	n−1qn	VERB
ejpam-798	62	5	converges	converge	VERB
ejpam-798	62	6	in	in	ADP
ejpam-798	62	7	probability	probability	NOUN
ejpam-798	62	8	to	to	ADP
ejpam-798	62	9	a	a	DET
ejpam-798	62	10	nonstochastic	nonstochastic	ADJ
ejpam-798	62	11	symmetric	symmetric	ADJ
ejpam-798	62	12	positive	positive	ADJ
ejpam-798	62	13	definite	definite	ADJ
ejpam-798	62	14	matrix	matrix	NOUN
ejpam-798	62	15	q.	q.	NOUN
ejpam-798	62	16	the	the	DET
ejpam-798	62	17	limiting	limit	VERB
ejpam-798	62	18	distribution	distribution	NOUN
ejpam-798	62	19	of	of	ADP
ejpam-798	62	20	the	the	DET
ejpam-798	62	21	ows	ows	PROPN
ejpam-798	62	22	estimator	estimator	NOUN
ejpam-798	62	23	is	be	AUX
ejpam-798	62	24	not	not	PART
ejpam-798	62	25	a	a	DET
ejpam-798	62	26	member	member	NOUN
ejpam-798	62	27	of	of	ADP
ejpam-798	62	28	a	a	DET
ejpam-798	62	29	location	location	NOUN
ejpam-798	62	30	-	-	PUNCT
ejpam-798	62	31	scale	scale	NOUN
ejpam-798	62	32	family	family	NOUN
ejpam-798	62	33	.	.	PUNCT
ejpam-798	63	1	if	if	SCONJ
ejpam-798	63	2	it	it	PRON
ejpam-798	63	3	were	be	AUX
ejpam-798	63	4	,	,	PUNCT
ejpam-798	63	5	then	then	ADV
ejpam-798	63	6	the	the	DET
ejpam-798	63	7	usual	usual	ADJ
ejpam-798	63	8	studentization	studentization	NOUN
ejpam-798	63	9	would	would	AUX
ejpam-798	63	10	be	be	AUX
ejpam-798	63	11	enough	enough	ADJ
ejpam-798	63	12	to	to	PART
ejpam-798	63	13	yield	yield	VERB
ejpam-798	63	14	a	a	DET
ejpam-798	63	15	pivotal	pivotal	ADJ
ejpam-798	63	16	statistic	statistic	NOUN
ejpam-798	63	17	.	.	PUNCT
ejpam-798	64	1	nevertheless	nevertheless	ADV
ejpam-798	64	2	,	,	PUNCT
ejpam-798	64	3	the	the	DET
ejpam-798	64	4	result	result	NOUN
ejpam-798	64	5	of	of	ADP
ejpam-798	64	6	[	[	X
ejpam-798	64	7	1	1	X
ejpam-798	64	8	]	]	PUNCT
ejpam-798	64	9	shows	show	VERB
ejpam-798	64	10	that	that	SCONJ
ejpam-798	64	11	the	the	DET
ejpam-798	64	12	bootstrap	bootstrap	NOUN
ejpam-798	64	13	can	can	AUX
ejpam-798	64	14	still	still	ADV
ejpam-798	64	15	estimate	estimate	VERB
ejpam-798	64	16	the	the	DET
ejpam-798	64	17	true	true	ADJ
ejpam-798	64	18	sampling	sampling	NOUN
ejpam-798	64	19	distribution	distribution	NOUN
ejpam-798	64	20	up	up	ADP
ejpam-798	64	21	to	to	ADP
ejpam-798	64	22	second	second	ADJ
ejpam-798	64	23	-	-	PUNCT
ejpam-798	64	24	order	order	NOUN
ejpam-798	64	25	terms	term	NOUN
ejpam-798	64	26	,	,	PUNCT
ejpam-798	64	27	justifying	justify	VERB
ejpam-798	64	28	studentization	studentization	NOUN
ejpam-798	64	29	for	for	ADP
ejpam-798	64	30	non	non	ADJ
ejpam-798	64	31	-	-	ADJ
ejpam-798	64	32	location	location	ADJ
ejpam-798	64	33	-	-	PUNCT
ejpam-798	64	34	scale	scale	NOUN
ejpam-798	64	35	families	family	NOUN
ejpam-798	64	36	.	.	PUNCT
ejpam-798	65	1	with	with	ADP
ejpam-798	65	2	the	the	DET
ejpam-798	65	3	same	same	ADJ
ejpam-798	65	4	assumptions	assumption	NOUN
ejpam-798	65	5	and	and	CCONJ
ejpam-798	65	6	notations	notation	NOUN
ejpam-798	65	7	used	use	VERB
ejpam-798	65	8	in	in	ADP
ejpam-798	65	9	[	[	X
ejpam-798	65	10	13	13	NUM
ejpam-798	65	11	]	]	PUNCT
ejpam-798	65	12	and	and	CCONJ
ejpam-798	65	13	using	use	VERB
ejpam-798	65	14	lemmas	lemmas	PROPN
ejpam-798	65	15	1	1	NUM
ejpam-798	65	16	and	and	CCONJ
ejpam-798	65	17	2	2	NUM
ejpam-798	65	18	of	of	ADP
ejpam-798	65	19	[	[	X
ejpam-798	65	20	18	18	NUM
ejpam-798	65	21	]	]	PUNCT
ejpam-798	65	22	,	,	PUNCT
ejpam-798	65	23	it	it	PRON
ejpam-798	65	24	is	be	AUX
ejpam-798	65	25	straightforward	straightforward	ADJ
ejpam-798	65	26	to	to	PART
ejpam-798	65	27	show	show	VERB
ejpam-798	65	28	that	that	SCONJ
ejpam-798	65	29	n1/2(δow	n1/2(δow	PROPN
ejpam-798	65	30	(	(	PUNCT
ejpam-798	65	31	bn	bn	ADJ
ejpam-798	65	32	,	,	PUNCT
ejpam-798	65	33	gn)−	gn)−	NOUN
ejpam-798	65	34	β	β	NOUN
ejpam-798	65	35	0	0	NUM
ejpam-798	65	36	)	)	PUNCT
ejpam-798	65	37	d	d	PROPN
ejpam-798	65	38	→	→	SYM
ejpam-798	65	39	�	�	PROPN
ejpam-798	65	40	1−λ1	1−λ1	NUM
ejpam-798	65	41	−	−	NOUN
ejpam-798	65	42	λ2	λ2	NOUN
ejpam-798	65	43	(	(	PUNCT
ejpam-798	65	44	u1	u1	NOUN
ejpam-798	65	45	−	−	PROPN
ejpam-798	65	46	u2	u2	PROPN
ejpam-798	65	47	)	)	PUNCT
ejpam-798	65	48	′q(u1	′q(u1	NOUN
ejpam-798	65	49	−	−	PROPN
ejpam-798	65	50	u2	u2	PROPN
ejpam-798	65	51	)	)	PUNCT
ejpam-798	65	52	�	�	PROPN
ejpam-798	65	53	(	(	PUNCT
ejpam-798	65	54	u1	u1	NOUN
ejpam-798	65	55	−	−	PROPN
ejpam-798	65	56	u2	u2	PROPN
ejpam-798	65	57	)	)	PUNCT
ejpam-798	65	58	+	+	X
ejpam-798	65	59	u2	u2	NOUN
ejpam-798	65	60	.	.	PUNCT
ejpam-798	66	1	(	(	PUNCT
ejpam-798	66	2	3	3	X
ejpam-798	66	3	)	)	PUNCT
ejpam-798	66	4	we	we	PRON
ejpam-798	66	5	let	let	VERB
ejpam-798	66	6	h(u	h(u	PROPN
ejpam-798	66	7	)	)	PUNCT
ejpam-798	66	8	denote	denote	VERB
ejpam-798	66	9	the	the	DET
ejpam-798	66	10	limiting	limit	VERB
ejpam-798	66	11	distribution	distribution	NOUN
ejpam-798	66	12	in	in	ADP
ejpam-798	66	13	(	(	PUNCT
ejpam-798	66	14	3	3	NUM
ejpam-798	66	15	)	)	PUNCT
ejpam-798	66	16	.	.	PUNCT
ejpam-798	67	1	note	note	VERB
ejpam-798	67	2	that	that	SCONJ
ejpam-798	67	3	there	there	PRON
ejpam-798	67	4	is	be	VERB
ejpam-798	67	5	no	no	DET
ejpam-798	67	6	asymptotic	asymptotic	ADJ
ejpam-798	67	7	bias	bias	NOUN
ejpam-798	67	8	in	in	ADP
ejpam-798	67	9	this	this	DET
ejpam-798	67	10	case	case	NOUN
ejpam-798	67	11	since	since	SCONJ
ejpam-798	67	12	the	the	DET
ejpam-798	67	13	data	data	NOUN
ejpam-798	67	14	-	-	PUNCT
ejpam-798	67	15	dependent	dependent	ADJ
ejpam-798	67	16	point	point	NOUN
ejpam-798	67	17	(	(	PUNCT
ejpam-798	67	18	the	the	DET
ejpam-798	67	19	ols	ol	NOUN
ejpam-798	67	20	estimator	estimator	NOUN
ejpam-798	67	21	)	)	PUNCT
ejpam-798	67	22	is	be	AUX
ejpam-798	67	23	consistent	consistent	ADJ
ejpam-798	67	24	.	.	PUNCT
ejpam-798	68	1	since	since	SCONJ
ejpam-798	68	2	σ	σ	PROPN
ejpam-798	68	3	is	be	AUX
ejpam-798	68	4	positive	positive	ADJ
ejpam-798	68	5	definite	definite	ADJ
ejpam-798	68	6	,	,	PUNCT
ejpam-798	68	7	there	there	PRON
ejpam-798	68	8	is	be	VERB
ejpam-798	68	9	a	a	DET
ejpam-798	68	10	matrix	matrix	NOUN
ejpam-798	68	11	p	p	NOUN
ejpam-798	68	12	,	,	PUNCT
ejpam-798	68	13	such	such	ADJ
ejpam-798	68	14	that	that	SCONJ
ejpam-798	68	15	σ	σ	NOUN
ejpam-798	68	16	=	=	PUNCT
ejpam-798	68	17	pp	pp	ADJ
ejpam-798	68	18	′.	′.	NOUN
ejpam-798	68	19	let	let	VERB
ejpam-798	68	20	z	z	NOUN
ejpam-798	68	21	=	=	VERB
ejpam-798	68	22	p−1u	p−1u	NOUN
ejpam-798	68	23	.	.	PUNCT
ejpam-798	69	1	then	then	ADV
ejpam-798	69	2	z	z	PROPN
ejpam-798	69	3	is	be	AUX
ejpam-798	69	4	normally	normally	ADV
ejpam-798	69	5	distributed	distribute	VERB
ejpam-798	69	6	with	with	ADP
ejpam-798	69	7	mean	mean	PROPN
ejpam-798	69	8	vector	vector	PROPN
ejpam-798	69	9	µ	µ	X
ejpam-798	69	10	=	=	SYM
ejpam-798	69	11	�	�	PROPN
ejpam-798	69	12	0k×1	0k×1	NUM
ejpam-798	69	13	0k×1	0k×1	NUM
ejpam-798	69	14	�	�	PROPN
ejpam-798	69	15	and	and	CCONJ
ejpam-798	69	16	identity	identity	NOUN
ejpam-798	69	17	covariance	covariance	NOUN
ejpam-798	69	18	matrix	matrix	NOUN
ejpam-798	69	19	.	.	PUNCT
ejpam-798	70	1	the	the	DET
ejpam-798	70	2	limiting	limit	VERB
ejpam-798	70	3	random	random	ADJ
ejpam-798	70	4	variable	variable	NOUN
ejpam-798	70	5	,	,	PUNCT
ejpam-798	70	6	h(u	h(u	PROPN
ejpam-798	70	7	)	)	PUNCT
ejpam-798	70	8	,	,	PUNCT
ejpam-798	70	9	can	can	AUX
ejpam-798	70	10	be	be	AUX
ejpam-798	70	11	rewritten	rewrite	VERB
ejpam-798	70	12	as	as	ADP
ejpam-798	70	13	h(u	h(u	PROPN
ejpam-798	70	14	)	)	PUNCT
ejpam-798	71	1	=	=	SYM
ejpam-798	71	2	�	�	PROPN
ejpam-798	71	3	1−λ1−	1−λ1−	NUM
ejpam-798	71	4	λ2	λ2	PROPN
ejpam-798	71	5	z	z	NOUN
ejpam-798	71	6	′p	′p	VERB
ejpam-798	71	7	′j	′j	VERB
ejpam-798	71	8	′1qj1pz	′1qj1pz	VERB
ejpam-798	71	9	�	�	PROPN
ejpam-798	71	10	j1pz	j1pz	X
ejpam-798	71	11	+	+	CCONJ
ejpam-798	71	12	j2pz	j2pz	PROPN
ejpam-798	71	13	≡	≡	PROPN
ejpam-798	71	14	h(z	h(z	PROPN
ejpam-798	71	15	)	)	PUNCT
ejpam-798	71	16	,	,	PUNCT
ejpam-798	71	17	(	(	PUNCT
ejpam-798	71	18	4	4	X
ejpam-798	71	19	)	)	PUNCT
ejpam-798	71	20	t.	t.	PROPN
ejpam-798	71	21	kim	kim	PROPN
ejpam-798	71	22	and	and	CCONJ
ejpam-798	71	23	h.	h.	PROPN
ejpam-798	71	24	white	white	PROPN
ejpam-798	71	25	/	/	SYM
ejpam-798	71	26	eur	eur	PROPN
ejpam-798	71	27	.	.	PUNCT
ejpam-798	72	1	j.	j.	PROPN
ejpam-798	72	2	pure	pure	PROPN
ejpam-798	72	3	appl	appl	PROPN
ejpam-798	72	4	.	.	PROPN
ejpam-798	72	5	math	math	PROPN
ejpam-798	72	6	,	,	PUNCT
ejpam-798	72	7	3	3	NUM
ejpam-798	72	8	(	(	PUNCT
ejpam-798	72	9	2010	2010	NUM
ejpam-798	72	10	)	)	PUNCT
ejpam-798	72	11	,	,	PUNCT
ejpam-798	72	12	371	371	NUM
ejpam-798	72	13	-	-	SYM
ejpam-798	72	14	381	381	NUM
ejpam-798	72	15	374	374	NUM
ejpam-798	72	16	where	where	SCONJ
ejpam-798	72	17	j1	j1	PROPN
ejpam-798	72	18	≡	≡	PROPN
ejpam-798	72	19	[	[	X
ejpam-798	72	20	ik;−ik	ik;−ik	X
ejpam-798	72	21	]	]	X
ejpam-798	72	22	and	and	CCONJ
ejpam-798	72	23	j2	j2	PROPN
ejpam-798	72	24	≡	≡	PROPN
ejpam-798	73	1	[	[	X
ejpam-798	73	2	0k	0k	NOUN
ejpam-798	73	3	;	;	PUNCT
ejpam-798	73	4	ik	ik	X
ejpam-798	73	5	]	]	PUNCT
ejpam-798	73	6	.	.	PUNCT
ejpam-798	74	1	let	let	VERB
ejpam-798	74	2	m1	m1	PROPN
ejpam-798	74	3	≡	≡	PROPN
ejpam-798	74	4	p	p	PROPN
ejpam-798	74	5	′j	′j	PROPN
ejpam-798	74	6	′1qj1p	′1qj1p	VERB
ejpam-798	74	7	,	,	PUNCT
ejpam-798	74	8	m2	m2	PROPN
ejpam-798	74	9	≡	≡	PROPN
ejpam-798	74	10	j1p	j1p	PROPN
ejpam-798	74	11	,	,	PUNCT
ejpam-798	74	12	and	and	CCONJ
ejpam-798	74	13	m3	m3	PROPN
ejpam-798	74	14	≡	≡	PROPN
ejpam-798	74	15	j2p	j2p	PROPN
ejpam-798	74	16	.	.	PUNCT
ejpam-798	75	1	then	then	ADV
ejpam-798	75	2	we	we	PRON
ejpam-798	75	3	can	can	AUX
ejpam-798	75	4	further	far	ADV
ejpam-798	75	5	simplify	simplify	VERB
ejpam-798	75	6	h(z	h(z	NOUN
ejpam-798	75	7	)	)	PUNCT
ejpam-798	75	8	to	to	ADP
ejpam-798	75	9	h(z	h(z	NOUN
ejpam-798	75	10	)	)	PUNCT
ejpam-798	75	11	=	=	PUNCT
ejpam-798	75	12	m	m	PROPN
ejpam-798	75	13	z	z	NOUN
ejpam-798	75	14	−	−	PROPN
ejpam-798	75	15	�	�	PROPN
ejpam-798	75	16	λ2m2z	λ2m2z	PUNCT
ejpam-798	75	17	z	z	NOUN
ejpam-798	75	18	′m1z	′m1z	PRON
ejpam-798	75	19	�	�	PROPN
ejpam-798	75	20	,	,	PUNCT
ejpam-798	75	21	(	(	PUNCT
ejpam-798	75	22	5	5	X
ejpam-798	75	23	)	)	PUNCT
ejpam-798	75	24	where	where	SCONJ
ejpam-798	75	25	m	m	VERB
ejpam-798	75	26	≡	≡	PROPN
ejpam-798	75	27	(	(	PUNCT
ejpam-798	75	28	1−λ1)m2+m3	1−λ1)m2+m3	X
ejpam-798	75	29	.	.	PUNCT
ejpam-798	76	1	using	use	VERB
ejpam-798	76	2	lemmas	lemmas	PROPN
ejpam-798	76	3	1	1	NUM
ejpam-798	76	4	and	and	CCONJ
ejpam-798	76	5	2	2	NUM
ejpam-798	76	6	of	of	ADP
ejpam-798	76	7	[	[	X
ejpam-798	76	8	18	18	NUM
ejpam-798	76	9	]	]	PUNCT
ejpam-798	76	10	,	,	PUNCT
ejpam-798	76	11	the	the	DET
ejpam-798	76	12	following	follow	VERB
ejpam-798	76	13	new	new	ADJ
ejpam-798	76	14	results	result	NOUN
ejpam-798	76	15	provide	provide	VERB
ejpam-798	76	16	the	the	DET
ejpam-798	76	17	first	first	ADJ
ejpam-798	76	18	and	and	CCONJ
ejpam-798	76	19	second	second	ADJ
ejpam-798	76	20	moments	moment	NOUN
ejpam-798	76	21	of	of	ADP
ejpam-798	76	22	the	the	DET
ejpam-798	76	23	limiting	limit	VERB
ejpam-798	76	24	distribution	distribution	NOUN
ejpam-798	76	25	of	of	ADP
ejpam-798	76	26	the	the	DET
ejpam-798	76	27	ows	ows	PROPN
ejpam-798	76	28	estimator	estimator	PROPN
ejpam-798	76	29	.	.	PUNCT
ejpam-798	77	1	theorem	theorem	PROPN
ejpam-798	77	2	1	1	NUM
ejpam-798	77	3	.	.	PUNCT
ejpam-798	78	1	let	let	AUX
ejpam-798	78	2	hi(z	hi(z	NOUN
ejpam-798	78	3	)	)	PUNCT
ejpam-798	78	4	be	be	AUX
ejpam-798	78	5	the	the	DET
ejpam-798	78	6	ith	ith	PROPN
ejpam-798	78	7	component	component	NOUN
ejpam-798	78	8	of	of	ADP
ejpam-798	78	9	h	h	PROPN
ejpam-798	78	10	(	(	PUNCT
ejpam-798	78	11	z	z	NOUN
ejpam-798	78	12	)	)	PUNCT
ejpam-798	78	13	.	.	PUNCT
ejpam-798	79	1	then	then	ADV
ejpam-798	79	2	,	,	PUNCT
ejpam-798	79	3	under	under	ADP
ejpam-798	79	4	regularity	regularity	NOUN
ejpam-798	79	5	conditions	condition	NOUN
ejpam-798	79	6	allowing	allow	VERB
ejpam-798	79	7	the	the	DET
ejpam-798	79	8	exchange	exchange	NOUN
ejpam-798	79	9	of	of	ADP
ejpam-798	79	10	limit	limit	NOUN
ejpam-798	79	11	and	and	CCONJ
ejpam-798	79	12	integral	integral	ADJ
ejpam-798	79	13	,	,	PUNCT
ejpam-798	79	14	e(hi(z	e(hi(z	NOUN
ejpam-798	79	15	)	)	PUNCT
ejpam-798	79	16	)	)	PUNCT
ejpam-798	79	17	=	=	PUNCT
ejpam-798	80	1	0	0	X
ejpam-798	80	2	.	.	PUNCT
ejpam-798	81	1	the	the	DET
ejpam-798	81	2	next	next	ADJ
ejpam-798	81	3	theorem	theorem	NOUN
ejpam-798	81	4	shows	show	VERB
ejpam-798	81	5	the	the	DET
ejpam-798	81	6	asymptotic	asymptotic	ADJ
ejpam-798	81	7	second	second	ADJ
ejpam-798	81	8	moment	moment	NOUN
ejpam-798	81	9	of	of	ADP
ejpam-798	81	10	the	the	DET
ejpam-798	81	11	ows	ows	PROPN
ejpam-798	81	12	estimator	estimator	NOUN
ejpam-798	81	13	with	with	ADP
ejpam-798	81	14	the	the	DET
ejpam-798	81	15	following	follow	VERB
ejpam-798	81	16	definitions	definition	NOUN
ejpam-798	81	17	;	;	PUNCT
ejpam-798	81	18	let	let	VERB
ejpam-798	81	19	mi	mi	PROPN
ejpam-798	81	20	j	j	PROPN
ejpam-798	81	21	and	and	CCONJ
ejpam-798	81	22	m2i	m2i	PROPN
ejpam-798	81	23	j	j	PROPN
ejpam-798	81	24	be	be	AUX
ejpam-798	81	25	the	the	DET
ejpam-798	81	26	(	(	PUNCT
ejpam-798	81	27	i	i	NOUN
ejpam-798	81	28	,	,	PUNCT
ejpam-798	81	29	j)th	j)th	PROPN
ejpam-798	81	30	element	element	NOUN
ejpam-798	81	31	of	of	ADP
ejpam-798	81	32	m	m	PROPN
ejpam-798	81	33	and	and	CCONJ
ejpam-798	81	34	m2	m2	PROPN
ejpam-798	81	35	respectively	respectively	ADV
ejpam-798	81	36	,	,	PUNCT
ejpam-798	81	37	and	and	CCONJ
ejpam-798	81	38	let	let	VERB
ejpam-798	81	39	the	the	DET
ejpam-798	81	40	indicator	indicator	NOUN
ejpam-798	81	41	matrix	matrix	NOUN
ejpam-798	81	42	ii	ii	PROPN
ejpam-798	81	43	j	j	PROPN
ejpam-798	81	44	be	be	AUX
ejpam-798	81	45	the	the	DET
ejpam-798	81	46	zero	zero	NUM
ejpam-798	81	47	matrix	matrix	NOUN
ejpam-798	81	48	except	except	SCONJ
ejpam-798	81	49	with	with	ADP
ejpam-798	81	50	element	element	NOUN
ejpam-798	81	51	(	(	PUNCT
ejpam-798	81	52	i	i	PROPN
ejpam-798	81	53	,	,	PUNCT
ejpam-798	81	54	j	j	PROPN
ejpam-798	81	55	)	)	PUNCT
ejpam-798	81	56	equal	equal	ADJ
ejpam-798	81	57	to	to	ADP
ejpam-798	81	58	one	one	NUM
ejpam-798	81	59	.	.	PUNCT
ejpam-798	82	1	theorem	theorem	NOUN
ejpam-798	82	2	2	2	NUM
ejpam-798	82	3	.	.	PUNCT
ejpam-798	83	1	let	let	VERB
ejpam-798	83	2	vi	vi	PROPN
ejpam-798	83	3	j	j	PROPN
ejpam-798	83	4	be	be	AUX
ejpam-798	83	5	the	the	DET
ejpam-798	83	6	(	(	PUNCT
ejpam-798	83	7	i	i	NOUN
ejpam-798	83	8	,	,	PUNCT
ejpam-798	83	9	j)th	j)th	PROPN
ejpam-798	83	10	element	element	NOUN
ejpam-798	83	11	of	of	ADP
ejpam-798	83	12	e(h(z)h(z)′	e(h(z)h(z)′	PROPN
ejpam-798	83	13	)	)	PUNCT
ejpam-798	83	14	.	.	PUNCT
ejpam-798	84	1	then	then	ADV
ejpam-798	84	2	,	,	PUNCT
ejpam-798	84	3	under	under	ADP
ejpam-798	84	4	the	the	DET
ejpam-798	84	5	same	same	ADJ
ejpam-798	84	6	conditions	condition	NOUN
ejpam-798	84	7	as	as	ADP
ejpam-798	84	8	in	in	ADP
ejpam-798	84	9	theorem	theorem	NOUN
ejpam-798	84	10	3	3	NUM
ejpam-798	84	11	in	in	ADP
ejpam-798	84	12	[	[	X
ejpam-798	84	13	13	13	NUM
ejpam-798	84	14	]	]	PUNCT
ejpam-798	84	15	,	,	PUNCT
ejpam-798	84	16	we	we	PRON
ejpam-798	84	17	have	have	VERB
ejpam-798	84	18	vi	vi	PROPN
ejpam-798	84	19	j	j	PROPN
ejpam-798	85	1	=	=	PRON
ejpam-798	85	2	ai	ai	VERB
ejpam-798	85	3	j	j	PROPN
ejpam-798	85	4	−	−	PROPN
ejpam-798	85	5	bi	bi	PROPN
ejpam-798	85	6	j	j	PROPN
ejpam-798	85	7	−	−	PROPN
ejpam-798	85	8	ci	ci	PROPN
ejpam-798	85	9	j	j	PROPN
ejpam-798	85	10	+	+	PROPN
ejpam-798	85	11	di	di	PROPN
ejpam-798	85	12	j	j	PROPN
ejpam-798	85	13	,	,	PUNCT
ejpam-798	85	14	where	where	SCONJ
ejpam-798	85	15	1	1	X
ejpam-798	85	16	.	.	X
ejpam-798	86	1	ai	ai	VERB
ejpam-798	86	2	j	j	PROPN
ejpam-798	86	3	is	be	AUX
ejpam-798	86	4	the	the	DET
ejpam-798	86	5	(	(	PUNCT
ejpam-798	86	6	i	i	NOUN
ejpam-798	86	7	,	,	PUNCT
ejpam-798	86	8	j)th	j)th	PROPN
ejpam-798	86	9	element	element	NOUN
ejpam-798	86	10	of	of	ADP
ejpam-798	86	11	m	m	PROPN
ejpam-798	86	12	m	m	NOUN
ejpam-798	86	13	′	′	ADJ
ejpam-798	86	14	;	;	PUNCT
ejpam-798	86	15	2	2	X
ejpam-798	86	16	.	.	X
ejpam-798	86	17	bi	bi	PROPN
ejpam-798	86	18	j	j	PROPN
ejpam-798	86	19	=	=	SYM
ejpam-798	86	20	λ2	λ2	PROPN
ejpam-798	86	21	2k∑	2k∑	NUM
ejpam-798	86	22	a=1	a=1	X
ejpam-798	86	23	2k∑	2k∑	NUM
ejpam-798	86	24	b=1	b=1	NUM
ejpam-798	86	25	miaeabm2	miaeabm2	PROPN
ejpam-798	86	26	j	j	PROPN
ejpam-798	86	27	b	b	PROPN
ejpam-798	86	28	,	,	PUNCT
ejpam-798	86	29	with	with	ADP
ejpam-798	86	30	eab	eab	NOUN
ejpam-798	86	31	=	=	SYM
ejpam-798	86	32	γ(1	γ(1	PROPN
ejpam-798	86	33	)	)	PUNCT
ejpam-798	86	34	−1	−1	NOUN
ejpam-798	86	35	∞∫	∞∫	PROPN
ejpam-798	86	36	0	0	NUM
ejpam-798	86	37	�	�	PROPN
ejpam-798	86	38	�	�	PROPN
ejpam-798	86	39	n0	n0	PROPN
ejpam-798	86	40	t	t	PROPN
ejpam-798	86	41	�	�	PROPN
ejpam-798	86	42	�	�	PROPN
ejpam-798	86	43	−1/2	−1/2	VERB
ejpam-798	86	44	tr(iabn−1	tr(iabn−1	PRON
ejpam-798	86	45	0	0	NUM
ejpam-798	86	46	t	t	NOUN
ejpam-798	86	47	)	)	PUNCT
ejpam-798	87	1	d	d	PROPN
ejpam-798	87	2	t	t	PROPN
ejpam-798	87	3	and	and	CCONJ
ejpam-798	87	4	n0	n0	NUM
ejpam-798	87	5	t	t	NOUN
ejpam-798	88	1	=	=	PUNCT
ejpam-798	88	2	i	i	PRON
ejpam-798	88	3	+	+	NOUN
ejpam-798	88	4	2tm1	2tm1	NUM
ejpam-798	88	5	;	;	PUNCT
ejpam-798	88	6	3	3	X
ejpam-798	88	7	.	.	X
ejpam-798	88	8	ci	ci	PROPN
ejpam-798	89	1	j	j	PROPN
ejpam-798	89	2	=	=	SYM
ejpam-798	89	3	b	b	PROPN
ejpam-798	89	4	ji	ji	X
ejpam-798	89	5	;	;	PUNCT
ejpam-798	89	6	4	4	X
ejpam-798	89	7	.	.	X
ejpam-798	89	8	di	di	PROPN
ejpam-798	89	9	j	j	PROPN
ejpam-798	89	10	=	=	SYM
ejpam-798	89	11	λ	λ	NOUN
ejpam-798	89	12	2	2	NUM
ejpam-798	89	13	2	2	NUM
ejpam-798	89	14	2k∑	2k∑	NUM
ejpam-798	89	15	a=1	a=1	X
ejpam-798	89	16	2k∑	2k∑	NUM
ejpam-798	89	17	b=1	b=1	PROPN
ejpam-798	89	18	m2iafabm2	m2iafabm2	PROPN
ejpam-798	89	19	j	j	PROPN
ejpam-798	89	20	b	b	PROPN
ejpam-798	89	21	,	,	PUNCT
ejpam-798	89	22	with	with	ADP
ejpam-798	89	23	fab	fab	NOUN
ejpam-798	89	24	=	=	SYM
ejpam-798	89	25	γ(2	γ(2	PROPN
ejpam-798	89	26	)	)	PUNCT
ejpam-798	89	27	−1	−1	NOUN
ejpam-798	89	28	∞∫	∞∫	PROPN
ejpam-798	89	29	0	0	NUM
ejpam-798	89	30	t	t	PROPN
ejpam-798	89	31	�	�	PROPN
ejpam-798	89	32	�	�	PROPN
ejpam-798	89	33	n0	n0	PROPN
ejpam-798	89	34	t	t	PROPN
ejpam-798	89	35	�	�	PROPN
ejpam-798	89	36	�	�	PROPN
ejpam-798	89	37	−1/2	−1/2	VERB
ejpam-798	89	38	tr(iabn−1	tr(iabn−1	PRON
ejpam-798	89	39	0	0	NUM
ejpam-798	89	40	t	t	NOUN
ejpam-798	89	41	)	)	PUNCT
ejpam-798	90	1	d	d	NOUN
ejpam-798	90	2	t.	t.	NOUN
ejpam-798	90	3	the	the	DET
ejpam-798	90	4	diagonal	diagonal	ADJ
ejpam-798	90	5	terms	term	NOUN
ejpam-798	90	6	vii	vii	PROPN
ejpam-798	90	7	are	be	AUX
ejpam-798	90	8	the	the	DET
ejpam-798	90	9	asymptotic	asymptotic	ADJ
ejpam-798	90	10	variances	variance	NOUN
ejpam-798	90	11	of	of	ADP
ejpam-798	90	12	the	the	DET
ejpam-798	90	13	ows	ows	PROPN
ejpam-798	90	14	estimates	estimate	NOUN
ejpam-798	90	15	.	.	PUNCT
ejpam-798	91	1	we	we	PRON
ejpam-798	91	2	use	use	VERB
ejpam-798	91	3	these	these	PRON
ejpam-798	91	4	to	to	PART
ejpam-798	91	5	construct	construct	VERB
ejpam-798	91	6	a	a	DET
ejpam-798	91	7	studentized	studentize	VERB
ejpam-798	91	8	statistic	statistic	NOUN
ejpam-798	91	9	for	for	ADP
ejpam-798	91	10	bootstrapping	bootstrappe	VERB
ejpam-798	91	11	.	.	PUNCT
ejpam-798	92	1	the	the	DET
ejpam-798	92	2	only	only	ADJ
ejpam-798	92	3	input	input	NOUN
ejpam-798	92	4	needed	need	VERB
ejpam-798	92	5	to	to	PART
ejpam-798	92	6	estimate	estimate	VERB
ejpam-798	92	7	vii	vii	PROPN
ejpam-798	92	8	is	be	AUX
ejpam-798	92	9	a	a	DET
ejpam-798	92	10	consistent	consistent	ADJ
ejpam-798	92	11	estimator	estimator	NOUN
ejpam-798	92	12	of	of	ADP
ejpam-798	92	13	σ	σ	PROPN
ejpam-798	92	14	.	.	PUNCT
ejpam-798	93	1	the	the	DET
ejpam-798	93	2	diagonal	diagonal	ADJ
ejpam-798	93	3	sub	sub	NOUN
ejpam-798	93	4	-	-	NOUN
ejpam-798	93	5	matrices	matrix	NOUN
ejpam-798	93	6	a	a	PRON
ejpam-798	93	7	and	and	CCONJ
ejpam-798	93	8	b	b	PROPN
ejpam-798	93	9	of	of	ADP
ejpam-798	93	10	σ	σ	NOUN
ejpam-798	93	11	are	be	AUX
ejpam-798	93	12	easily	easily	ADV
ejpam-798	93	13	estimated	estimate	VERB
ejpam-798	93	14	,	,	PUNCT
ejpam-798	93	15	since	since	SCONJ
ejpam-798	93	16	these	these	PRON
ejpam-798	93	17	are	be	AUX
ejpam-798	93	18	the	the	DET
ejpam-798	93	19	covariance	covariance	NOUN
ejpam-798	93	20	matrices	matrix	NOUN
ejpam-798	93	21	of	of	ADP
ejpam-798	93	22	the	the	DET
ejpam-798	93	23	lad	lad	NOUN
ejpam-798	93	24	and	and	CCONJ
ejpam-798	93	25	the	the	DET
ejpam-798	93	26	ls	ls	ADJ
ejpam-798	93	27	estimators	estimator	NOUN
ejpam-798	93	28	.	.	PUNCT
ejpam-798	94	1	a	a	DET
ejpam-798	94	2	consistent	consistent	ADJ
ejpam-798	94	3	estimator	estimator	NOUN
ejpam-798	94	4	of	of	ADP
ejpam-798	94	5	the	the	DET
ejpam-798	94	6	off	off	ADV
ejpam-798	94	7	-	-	PUNCT
ejpam-798	94	8	diagonal	diagonal	ADJ
ejpam-798	94	9	matrix	matrix	NOUN
ejpam-798	94	10	∆	∆	PROPN
ejpam-798	94	11	is	be	AUX
ejpam-798	94	12	also	also	ADV
ejpam-798	94	13	provided	provide	VERB
ejpam-798	94	14	in	in	ADP
ejpam-798	94	15	[	[	NOUN
ejpam-798	94	16	13	13	NUM
ejpam-798	94	17	]	]	PUNCT
ejpam-798	94	18	as	as	SCONJ
ejpam-798	94	19	follows	follow	VERB
ejpam-798	94	20	:	:	PUNCT
ejpam-798	94	21	b∆=	b∆=	PROPN
ejpam-798	94	22			VERB
ejpam-798	94	23	bf	bf	NOUN
ejpam-798	94	24	(	(	PUNCT
ejpam-798	94	25	0)n−1	0)n−1	NUM
ejpam-798	94	26	n∑	n∑	NOUN
ejpam-798	94	27	t=1	t=1	PROPN
ejpam-798	94	28	x	x	SYM
ejpam-798	94	29	tx	tx	VERB
ejpam-798	94	30	′	′	NUM
ejpam-798	94	31	t	t	PROPN
ejpam-798	94	32			PROPN
ejpam-798	94	33			PROPN
ejpam-798	94	34	−1	−1	PROPN
ejpam-798	94	35	n−1	n−1	PROPN
ejpam-798	94	36	n∑	n∑	PROPN
ejpam-798	94	37	t=1	t=1	PROPN
ejpam-798	94	38	s1	s1	PROPN
ejpam-798	94	39	t	t	PROPN
ejpam-798	94	40	,	,	PUNCT
ejpam-798	94	41	s	s	VERB
ejpam-798	94	42	′	′	NUM
ejpam-798	94	43	2	2	NUM
ejpam-798	94	44	t	t	NOUN
ejpam-798	94	45			PROPN
ejpam-798	94	46			PROPN
ejpam-798	94	47			NOUN
ejpam-798	94	48	n−1	n−1	PROPN
ejpam-798	94	49	n∑	n∑	NOUN
ejpam-798	94	50	t=1	t=1	PROPN
ejpam-798	95	1	x	x	SYM
ejpam-798	95	2	t	t	NOUN
ejpam-798	95	3	x	x	SYM
ejpam-798	95	4	′	′	NUM
ejpam-798	95	5	t	t	NOUN
ejpam-798	95	6			PROPN
ejpam-798	95	7			PROPN
ejpam-798	95	8	−1	−1	NOUN
ejpam-798	95	9	,	,	PUNCT
ejpam-798	95	10	(	(	PUNCT
ejpam-798	95	11	6	6	NUM
ejpam-798	95	12	)	)	PUNCT
ejpam-798	95	13	where	where	SCONJ
ejpam-798	95	14	s1	s1	NOUN
ejpam-798	95	15	t	t	NOUN
ejpam-798	95	16	=	=	SYM
ejpam-798	95	17	−x	−x	NOUN
ejpam-798	95	18	t(1[ǫt≤0]−0.5	t(1[ǫt≤0]−0.5	NOUN
ejpam-798	95	19	)	)	PUNCT
ejpam-798	95	20	,	,	PUNCT
ejpam-798	95	21	s2	s2	PROPN
ejpam-798	95	22	t	t	NOUN
ejpam-798	95	23	=	=	PUNCT
ejpam-798	95	24	x	x	X
ejpam-798	95	25	tǫt	tǫt	NOUN
ejpam-798	95	26	,	,	PUNCT
ejpam-798	95	27	and	and	CCONJ
ejpam-798	95	28	bf	bf	NOUN
ejpam-798	95	29	(	(	PUNCT
ejpam-798	95	30	0	0	NUM
ejpam-798	95	31	)	)	PUNCT
ejpam-798	95	32	is	be	AUX
ejpam-798	95	33	a	a	DET
ejpam-798	95	34	kernel	kernel	NOUN
ejpam-798	95	35	estimator	estimator	NOUN
ejpam-798	95	36	of	of	ADP
ejpam-798	95	37	the	the	DET
ejpam-798	95	38	density	density	NOUN
ejpam-798	95	39	of	of	ADP
ejpam-798	95	40	ǫt	ǫt	PROPN
ejpam-798	95	41	evaluated	evaluate	VERB
ejpam-798	95	42	at	at	ADP
ejpam-798	95	43	zero	zero	NUM
ejpam-798	95	44	.	.	PUNCT
ejpam-798	96	1	t.	t.	PROPN
ejpam-798	96	2	kim	kim	PROPN
ejpam-798	96	3	and	and	CCONJ
ejpam-798	96	4	h.	h.	PROPN
ejpam-798	96	5	white	white	PROPN
ejpam-798	96	6	/	/	SYM
ejpam-798	96	7	eur	eur	PROPN
ejpam-798	96	8	.	.	PUNCT
ejpam-798	97	1	j.	j.	PROPN
ejpam-798	97	2	pure	pure	PROPN
ejpam-798	97	3	appl	appl	PROPN
ejpam-798	97	4	.	.	PROPN
ejpam-798	97	5	math	math	PROPN
ejpam-798	97	6	,	,	PUNCT
ejpam-798	97	7	3	3	NUM
ejpam-798	97	8	(	(	PUNCT
ejpam-798	97	9	2010	2010	NUM
ejpam-798	97	10	)	)	PUNCT
ejpam-798	97	11	,	,	PUNCT
ejpam-798	97	12	371	371	NUM
ejpam-798	97	13	-	-	SYM
ejpam-798	97	14	381	381	NUM
ejpam-798	97	15	375	375	NUM
ejpam-798	97	16	3	3	NUM
ejpam-798	97	17	.	.	PUNCT
ejpam-798	97	18	bootstrap	bootstrap	NOUN
ejpam-798	97	19	confidence	confidence	NOUN
ejpam-798	97	20	intervals	interval	NOUN
ejpam-798	97	21	in	in	ADP
ejpam-798	97	22	this	this	DET
ejpam-798	97	23	section	section	NOUN
ejpam-798	98	1	,	,	PUNCT
ejpam-798	98	2	we	we	PRON
ejpam-798	98	3	show	show	VERB
ejpam-798	98	4	how	how	SCONJ
ejpam-798	98	5	the	the	DET
ejpam-798	98	6	results	result	NOUN
ejpam-798	98	7	of	of	ADP
ejpam-798	98	8	the	the	DET
ejpam-798	98	9	previous	previous	ADJ
ejpam-798	98	10	section	section	NOUN
ejpam-798	98	11	can	can	AUX
ejpam-798	98	12	be	be	AUX
ejpam-798	98	13	used	use	VERB
ejpam-798	98	14	in	in	ADP
ejpam-798	98	15	bootstrapping	bootstrappe	VERB
ejpam-798	98	16	the	the	DET
ejpam-798	98	17	ows	ows	PROPN
ejpam-798	98	18	estimator	estimator	PROPN
ejpam-798	98	19	.	.	PUNCT
ejpam-798	99	1	bootstrap	bootstrap	NOUN
ejpam-798	99	2	methods	method	NOUN
ejpam-798	99	3	for	for	ADP
ejpam-798	99	4	the	the	DET
ejpam-798	99	5	lad	lad	NOUN
ejpam-798	99	6	estimator	estimator	NOUN
ejpam-798	99	7	(	(	PUNCT
ejpam-798	99	8	the	the	DET
ejpam-798	99	9	base	base	NOUN
ejpam-798	99	10	estimator	estimator	NOUN
ejpam-798	99	11	in	in	ADP
ejpam-798	99	12	our	our	PRON
ejpam-798	99	13	case	case	NOUN
ejpam-798	99	14	)	)	PUNCT
ejpam-798	99	15	are	be	AUX
ejpam-798	99	16	not	not	PART
ejpam-798	99	17	new	new	ADJ
ejpam-798	99	18	.	.	PUNCT
ejpam-798	100	1	[	[	X
ejpam-798	100	2	7	7	X
ejpam-798	100	3	]	]	PUNCT
ejpam-798	100	4	bootstraps	bootstrap	VERB
ejpam-798	100	5	the	the	DET
ejpam-798	100	6	quantile	quantile	ADJ
ejpam-798	100	7	estimator	estimator	NOUN
ejpam-798	100	8	and	and	CCONJ
ejpam-798	100	9	shows	show	VERB
ejpam-798	100	10	that	that	SCONJ
ejpam-798	100	11	the	the	DET
ejpam-798	100	12	bootstrap	bootstrap	NOUN
ejpam-798	100	13	distribution	distribution	NOUN
ejpam-798	100	14	converges	converge	VERB
ejpam-798	100	15	weakly	weakly	ADV
ejpam-798	100	16	to	to	ADP
ejpam-798	100	17	the	the	DET
ejpam-798	100	18	limiting	limit	VERB
ejpam-798	100	19	distribution	distribution	NOUN
ejpam-798	100	20	of	of	ADP
ejpam-798	100	21	the	the	DET
ejpam-798	100	22	quantile	quantile	ADJ
ejpam-798	100	23	estimator	estimator	NOUN
ejpam-798	100	24	.	.	PUNCT
ejpam-798	101	1	however	however	ADV
ejpam-798	101	2	,	,	PUNCT
ejpam-798	101	3	bootstrapping	bootstrappe	VERB
ejpam-798	101	4	a	a	DET
ejpam-798	101	5	shrinkage	shrinkage	NOUN
ejpam-798	101	6	lad	lad	NOUN
ejpam-798	101	7	estimator	estimator	NOUN
ejpam-798	101	8	(	(	PUNCT
ejpam-798	101	9	the	the	DET
ejpam-798	101	10	ows	ows	PROPN
ejpam-798	101	11	estimator	estimator	NOUN
ejpam-798	101	12	in	in	ADP
ejpam-798	101	13	our	our	PRON
ejpam-798	101	14	case	case	NOUN
ejpam-798	101	15	)	)	PUNCT
ejpam-798	101	16	has	have	AUX
ejpam-798	101	17	not	not	PART
ejpam-798	101	18	previously	previously	ADV
ejpam-798	101	19	been	be	AUX
ejpam-798	101	20	studied	study	VERB
ejpam-798	101	21	.	.	PUNCT
ejpam-798	102	1	we	we	PRON
ejpam-798	102	2	generate	generate	VERB
ejpam-798	102	3	artificial	artificial	ADJ
ejpam-798	102	4	data	datum	NOUN
ejpam-798	102	5	as	as	ADP
ejpam-798	102	6	y	y	PROPN
ejpam-798	102	7	=	=	PROPN
ejpam-798	102	8	xβ0	xβ0	PROPN
ejpam-798	103	1	+	+	NUM
ejpam-798	103	2	ǫ	ǫ	X
ejpam-798	103	3	,	,	PUNCT
ejpam-798	103	4	where	where	SCONJ
ejpam-798	103	5	ǫ	ǫ	PROPN
ejpam-798	103	6	∈	∈	PROPN
ejpam-798	103	7	rn	rn	PROPN
ejpam-798	103	8	and	and	CCONJ
ejpam-798	103	9	β0	β0	PROPN
ejpam-798	103	10	∈	∈	PROPN
ejpam-798	103	11	rk	rk	NOUN
ejpam-798	103	12	,	,	PUNCT
ejpam-798	103	13	with	with	ADP
ejpam-798	103	14	n	n	NOUN
ejpam-798	103	15	=	=	SYM
ejpam-798	103	16	80	80	NUM
ejpam-798	103	17	and	and	CCONJ
ejpam-798	103	18	k	k	NOUN
ejpam-798	104	1	=	=	NOUN
ejpam-798	104	2	3	3	X
ejpam-798	104	3	.	.	X
ejpam-798	105	1	we	we	PRON
ejpam-798	105	2	set	set	VERB
ejpam-798	105	3	β0	β0	PROPN
ejpam-798	105	4	=	=	NOUN
ejpam-798	105	5	0	0	NUM
ejpam-798	105	6	without	without	ADP
ejpam-798	105	7	loss	loss	NOUN
ejpam-798	105	8	of	of	ADP
ejpam-798	105	9	generality	generality	NOUN
ejpam-798	105	10	.	.	PUNCT
ejpam-798	106	1	we	we	PRON
ejpam-798	106	2	draw	draw	VERB
ejpam-798	106	3	errors	error	NOUN
ejpam-798	106	4	from	from	ADP
ejpam-798	106	5	the	the	DET
ejpam-798	106	6	standard	standard	ADJ
ejpam-798	106	7	normal	normal	ADJ
ejpam-798	106	8	distribution	distribution	NOUN
ejpam-798	106	9	.	.	PUNCT
ejpam-798	107	1	each	each	DET
ejpam-798	107	2	row	row	NOUN
ejpam-798	107	3	of	of	ADP
ejpam-798	107	4	x	x	PROPN
ejpam-798	107	5	is	be	AUX
ejpam-798	107	6	drawn	draw	VERB
ejpam-798	107	7	from	from	ADP
ejpam-798	107	8	the	the	DET
ejpam-798	107	9	joint	joint	ADJ
ejpam-798	107	10	normal	normal	ADJ
ejpam-798	107	11	distribution†	distribution†	NOUN
ejpam-798	107	12	,	,	PUNCT
ejpam-798	107	13	n(1,ω	n(1,ω	NUM
ejpam-798	107	14	)	)	PUNCT
ejpam-798	107	15	,	,	PUNCT
ejpam-798	107	16	where	where	SCONJ
ejpam-798	107	17	the	the	DET
ejpam-798	107	18	covariances	covariance	NOUN
ejpam-798	107	19	are	be	AUX
ejpam-798	107	20	each	each	DET
ejpam-798	107	21	0.8	0.8	NUM
ejpam-798	107	22	and	and	CCONJ
ejpam-798	107	23	the	the	DET
ejpam-798	107	24	variances	variance	NOUN
ejpam-798	107	25	are	be	AUX
ejpam-798	107	26	one	one	NUM
ejpam-798	107	27	.	.	PUNCT
ejpam-798	108	1	once	once	ADV
ejpam-798	108	2	the	the	DET
ejpam-798	108	3	first	first	ADJ
ejpam-798	108	4	set	set	NOUN
ejpam-798	108	5	of	of	ADP
ejpam-798	108	6	data	datum	NOUN
ejpam-798	108	7	is	be	AUX
ejpam-798	108	8	generated	generate	VERB
ejpam-798	108	9	,	,	PUNCT
ejpam-798	108	10	we	we	PRON
ejpam-798	108	11	take	take	VERB
ejpam-798	108	12	it	it	PRON
ejpam-798	108	13	to	to	PART
ejpam-798	108	14	be	be	AUX
ejpam-798	108	15	our	our	PRON
ejpam-798	108	16	original	original	ADJ
ejpam-798	108	17	data	datum	NOUN
ejpam-798	108	18	and	and	CCONJ
ejpam-798	108	19	pretend	pretend	VERB
ejpam-798	108	20	not	not	PART
ejpam-798	108	21	to	to	PART
ejpam-798	108	22	know	know	VERB
ejpam-798	108	23	the	the	DET
ejpam-798	108	24	true	true	ADJ
ejpam-798	108	25	value	value	NOUN
ejpam-798	108	26	of	of	ADP
ejpam-798	108	27	β0	β0	NOUN
ejpam-798	108	28	.	.	PUNCT
ejpam-798	109	1	the	the	DET
ejpam-798	109	2	ows	ows	PROPN
ejpam-798	109	3	estimator	estimator	PROPN
ejpam-798	109	4	,	,	PUNCT
ejpam-798	109	5	δni	δni	PROPN
ejpam-798	109	6	,	,	PUNCT
ejpam-798	109	7	and	and	CCONJ
ejpam-798	109	8	its	its	PRON
ejpam-798	109	9	asymptotic	asymptotic	ADJ
ejpam-798	109	10	standard	standard	ADJ
ejpam-798	109	11	deviation	deviation	NOUN
ejpam-798	109	12	,	,	PUNCT
ejpam-798	109	13	si	si	INTJ
ejpam-798	109	14	,	,	PUNCT
ejpam-798	109	15	are	be	AUX
ejpam-798	109	16	computed	compute	VERB
ejpam-798	109	17	using	use	VERB
ejpam-798	109	18	the	the	DET
ejpam-798	109	19	original	original	ADJ
ejpam-798	109	20	data	datum	NOUN
ejpam-798	109	21	and	and	CCONJ
ejpam-798	109	22	the	the	DET
ejpam-798	109	23	method	method	NOUN
ejpam-798	109	24	described	describe	VERB
ejpam-798	109	25	in	in	ADP
ejpam-798	109	26	the	the	DET
ejpam-798	109	27	previous	previous	ADJ
ejpam-798	109	28	section	section	NOUN
ejpam-798	109	29	.	.	PUNCT
ejpam-798	110	1	we	we	PRON
ejpam-798	110	2	consider	consider	VERB
ejpam-798	110	3	(	(	PUNCT
ejpam-798	110	4	i	i	NOUN
ejpam-798	110	5	)	)	PUNCT
ejpam-798	110	6	the	the	DET
ejpam-798	110	7	equal	equal	ADJ
ejpam-798	110	8	tail	tail	NOUN
ejpam-798	110	9	percentile−t	percentile−t	PROPN
ejpam-798	110	10	method	method	NOUN
ejpam-798	110	11	(	(	PUNCT
ejpam-798	110	12	studentized	studentize	VERB
ejpam-798	110	13	)	)	PUNCT
ejpam-798	110	14	;	;	PUNCT
ejpam-798	110	15	(	(	PUNCT
ejpam-798	110	16	ii	ii	X
ejpam-798	110	17	)	)	PUNCT
ejpam-798	110	18	the	the	DET
ejpam-798	110	19	equal	equal	ADJ
ejpam-798	110	20	tail	tail	NOUN
ejpam-798	110	21	percentile	percentile	ADJ
ejpam-798	110	22	method	method	NOUN
ejpam-798	110	23	(	(	PUNCT
ejpam-798	110	24	unstudentized	unstudentize	VERB
ejpam-798	110	25	)	)	PUNCT
ejpam-798	110	26	;	;	PUNCT
ejpam-798	110	27	(	(	PUNCT
ejpam-798	110	28	iii	iii	X
ejpam-798	110	29	)	)	PUNCT
ejpam-798	110	30	the	the	DET
ejpam-798	110	31	naïve	naïve	ADJ
ejpam-798	110	32	percentile	percentile	ADJ
ejpam-798	110	33	method	method	NOUN
ejpam-798	110	34	;	;	PUNCT
ejpam-798	110	35	and	and	CCONJ
ejpam-798	110	36	(	(	PUNCT
ejpam-798	110	37	iv	iv	X
ejpam-798	110	38	)	)	PUNCT
ejpam-798	110	39	the	the	DET
ejpam-798	110	40	“	"	PUNCT
ejpam-798	110	41	normal	normal	ADJ
ejpam-798	110	42	approximation	approximation	NOUN
ejpam-798	110	43	”	"	PUNCT
ejpam-798	110	44	method	method	NOUN
ejpam-798	110	45	for	for	ADP
ejpam-798	110	46	constructing	construct	VERB
ejpam-798	110	47	confidence	confidence	NOUN
ejpam-798	110	48	intervals	interval	NOUN
ejpam-798	110	49	for	for	ADP
ejpam-798	110	50	β0	β0	NOUN
ejpam-798	110	51	.	.	PUNCT
ejpam-798	111	1	for	for	ADP
ejpam-798	111	2	the	the	DET
ejpam-798	111	3	percentile−t	percentile−t	PROPN
ejpam-798	111	4	method‡	method‡	PROPN
ejpam-798	111	5	,	,	PUNCT
ejpam-798	111	6	the	the	DET
ejpam-798	111	7	population	population	NOUN
ejpam-798	111	8	equation	equation	NOUN
ejpam-798	111	9	is	be	AUX
ejpam-798	111	10	given	give	VERB
ejpam-798	111	11	by	by	ADP
ejpam-798	111	12	pr[t	pr[t	PROPN
ejpam-798	111	13	p	p	PROPN
ejpam-798	111	14	l	l	PROPN
ejpam-798	111	15	<	<	X
ejpam-798	111	16	n1/2(δni	n1/2(δni	PROPN
ejpam-798	111	17	−	−	PROPN
ejpam-798	111	18	β	β	NOUN
ejpam-798	111	19	0	0	PUNCT
ejpam-798	112	1	i	i	PRON
ejpam-798	112	2	)	)	PUNCT
ejpam-798	112	3	/si	/si	PUNCT
ejpam-798	113	1	<	<	X
ejpam-798	113	2	t	t	X
ejpam-798	113	3	p	p	X
ejpam-798	113	4	u	u	X
ejpam-798	113	5	]	]	X
ejpam-798	113	6	=	=	SYM
ejpam-798	113	7	1−α	1−α	NUM
ejpam-798	113	8	.	.	PUNCT
ejpam-798	114	1	(	(	PUNCT
ejpam-798	114	2	7	7	X
ejpam-798	114	3	)	)	PUNCT
ejpam-798	114	4	the	the	DET
ejpam-798	114	5	ideal	ideal	NOUN
ejpam-798	114	6	(	(	PUNCT
ejpam-798	114	7	1−α)%	1−α)%	NUM
ejpam-798	114	8	confidence	confidence	NOUN
ejpam-798	114	9	interval	interval	NOUN
ejpam-798	114	10	is	be	AUX
ejpam-798	114	11	(	(	PUNCT
ejpam-798	114	12	t	t	PROPN
ejpam-798	114	13	p	p	PROPN
ejpam-798	114	14	l	l	NOUN
ejpam-798	114	15	,	,	PUNCT
ejpam-798	114	16	t	t	PROPN
ejpam-798	114	17	p	p	PROPN
ejpam-798	114	18	u	u	PROPN
ejpam-798	114	19	)	)	PUNCT
ejpam-798	114	20	,	,	PUNCT
ejpam-798	114	21	but	but	CCONJ
ejpam-798	114	22	we	we	PRON
ejpam-798	114	23	can	can	AUX
ejpam-798	114	24	not	not	PART
ejpam-798	114	25	obtain	obtain	VERB
ejpam-798	114	26	this	this	DET
ejpam-798	114	27	interval	interval	NOUN
ejpam-798	114	28	because	because	SCONJ
ejpam-798	114	29	the	the	DET
ejpam-798	114	30	exact	exact	ADJ
ejpam-798	114	31	distribution	distribution	NOUN
ejpam-798	114	32	of	of	ADP
ejpam-798	114	33	δni	δni	PROPN
ejpam-798	114	34	is	be	AUX
ejpam-798	114	35	not	not	PART
ejpam-798	114	36	known	know	VERB
ejpam-798	114	37	.	.	PUNCT
ejpam-798	115	1	the	the	DET
ejpam-798	115	2	population	population	NOUN
ejpam-798	115	3	equation	equation	NOUN
ejpam-798	115	4	in	in	ADP
ejpam-798	115	5	(	(	PUNCT
ejpam-798	115	6	7	7	X
ejpam-798	115	7	)	)	PUNCT
ejpam-798	115	8	can	can	AUX
ejpam-798	115	9	be	be	AUX
ejpam-798	115	10	approximated	approximate	VERB
ejpam-798	115	11	by	by	ADP
ejpam-798	115	12	the	the	DET
ejpam-798	115	13	following	follow	VERB
ejpam-798	115	14	sample	sample	NOUN
ejpam-798	115	15	equation	equation	NOUN
ejpam-798	115	16	:	:	PUNCT
ejpam-798	115	17	pr[ts	pr[ts	X
ejpam-798	115	18	l	l	X
ejpam-798	115	19	<	<	X
ejpam-798	115	20	n1/2(δ∗ni	n1/2(δ∗ni	ADV
ejpam-798	115	21	−	−	PROPN
ejpam-798	115	22	δni)/s	δni)/s	ADJ
ejpam-798	115	23	∗	∗	NOUN
ejpam-798	115	24	i	i	PRON
ejpam-798	115	25	<	<	X
ejpam-798	115	26	ts	ts	ADP
ejpam-798	115	27	u	u	X
ejpam-798	115	28	]	]	X
ejpam-798	115	29	=	=	SYM
ejpam-798	115	30	1−α	1−α	NUM
ejpam-798	115	31	(	(	PUNCT
ejpam-798	115	32	8)	8)	NUM
ejpam-798	115	33	where	where	SCONJ
ejpam-798	115	34	δ∗ni	δ∗ni	PROPN
ejpam-798	115	35	,	,	PUNCT
ejpam-798	115	36	s	s	PART
ejpam-798	115	37	∗	∗	NOUN
ejpam-798	115	38	i	i	PRON
ejpam-798	115	39	are	be	AUX
ejpam-798	115	40	bootstrap	bootstrap	NOUN
ejpam-798	115	41	estimates	estimate	NOUN
ejpam-798	115	42	.	.	PUNCT
ejpam-798	116	1	even	even	ADV
ejpam-798	116	2	though	though	SCONJ
ejpam-798	116	3	the	the	DET
ejpam-798	116	4	sample	sample	NOUN
ejpam-798	116	5	equation	equation	NOUN
ejpam-798	116	6	in	in	ADP
ejpam-798	116	7	(	(	PUNCT
ejpam-798	116	8	8)	8)	NUM
ejpam-798	116	9	can	can	AUX
ejpam-798	116	10	be	be	AUX
ejpam-798	116	11	solved	solve	VERB
ejpam-798	116	12	in	in	ADP
ejpam-798	116	13	principle	principle	NOUN
ejpam-798	116	14	,	,	PUNCT
ejpam-798	116	15	in	in	ADP
ejpam-798	116	16	most	most	ADJ
ejpam-798	116	17	cases	case	NOUN
ejpam-798	116	18	this	this	PRON
ejpam-798	116	19	is	be	AUX
ejpam-798	116	20	intractable	intractable	ADJ
ejpam-798	116	21	because	because	SCONJ
ejpam-798	116	22	the	the	DET
ejpam-798	116	23	empirical	empirical	ADJ
ejpam-798	116	24	distribution	distribution	NOUN
ejpam-798	116	25	from	from	ADP
ejpam-798	116	26	which	which	PRON
ejpam-798	116	27	the	the	DET
ejpam-798	116	28	bootstrap	bootstrap	NOUN
ejpam-798	116	29	re	re	NOUN
ejpam-798	116	30	-	-	NOUN
ejpam-798	116	31	sampling	sampling	NOUN
ejpam-798	116	32	is	be	AUX
ejpam-798	116	33	taken	take	VERB
ejpam-798	116	34	is	be	AUX
ejpam-798	116	35	not	not	PART
ejpam-798	116	36	continuous	continuous	ADJ
ejpam-798	116	37	.	.	PUNCT
ejpam-798	117	1	hence	hence	ADV
ejpam-798	117	2	,	,	PUNCT
ejpam-798	117	3	we	we	PRON
ejpam-798	117	4	approximate	approximate	VERB
ejpam-798	117	5	the	the	DET
ejpam-798	117	6	solution	solution	NOUN
ejpam-798	117	7	to	to	ADP
ejpam-798	117	8	the	the	DET
ejpam-798	117	9	sample	sample	NOUN
ejpam-798	117	10	equation	equation	NOUN
ejpam-798	117	11	using	use	VERB
ejpam-798	117	12	bootstrap	bootstrap	NOUN
ejpam-798	117	13	re	re	NOUN
ejpam-798	117	14	-	-	NOUN
ejpam-798	117	15	sampling	sample	VERB
ejpam-798	117	16	.	.	PUNCT
ejpam-798	118	1	by	by	ADP
ejpam-798	118	2	bootstrapping	bootstrappe	VERB
ejpam-798	118	3	(	(	PUNCT
ejpam-798	118	4	yt	yt	INTJ
ejpam-798	118	5	,	,	PUNCT
ejpam-798	118	6	x	x	PROPN
ejpam-798	118	7	t	t	PROPN
ejpam-798	118	8	)	)	PUNCT
ejpam-798	118	9	pairs§	pairs§	PROPN
ejpam-798	118	10	,	,	PUNCT
ejpam-798	118	11	we	we	PRON
ejpam-798	118	12	generate	generate	VERB
ejpam-798	118	13	{	{	PUNCT
ejpam-798	118	14	γi	γi	X
ejpam-798	118	15	:	:	PUNCT
ejpam-798	118	16	i	i	NOUN
ejpam-798	118	17	=	=	NOUN
ejpam-798	118	18	1	1	NUM
ejpam-798	118	19	,	,	PUNCT
ejpam-798	118	20	.	.	PUNCT
ejpam-798	118	21	.	.	PUNCT
ejpam-798	118	22	.	.	PUNCT
ejpam-798	119	1	,	,	PUNCT
ejpam-798	119	2	m	m	VERB
ejpam-798	119	3	}	}	PUNCT
ejpam-798	119	4	,	,	PUNCT
ejpam-798	119	5	where	where	SCONJ
ejpam-798	119	6	γi	γi	NOUN
ejpam-798	119	7	=	=	SYM
ejpam-798	119	8	n1/2(δ∗	n1/2(δ∗	PROPN
ejpam-798	119	9	ni	ni	NOUN
ejpam-798	119	10	−	−	PROPN
ejpam-798	119	11	δni)/s	δni)/s	ADJ
ejpam-798	119	12	∗	∗	NOUN
ejpam-798	119	13	i	i	PRON
ejpam-798	119	14	and	and	CCONJ
ejpam-798	119	15	m	m	PROPN
ejpam-798	119	16	is	be	AUX
ejpam-798	119	17	the	the	DET
ejpam-798	119	18	number	number	NOUN
ejpam-798	119	19	of	of	ADP
ejpam-798	119	20	bootstrap	bootstrap	NOUN
ejpam-798	119	21	re	re	NOUN
ejpam-798	119	22	-	-	NOUN
ejpam-798	119	23	samples	sample	NOUN
ejpam-798	119	24	.	.	PUNCT
ejpam-798	120	1	we	we	PRON
ejpam-798	120	2	take	take	VERB
ejpam-798	120	3	the	the	DET
ejpam-798	120	4	α/2	α/2	NUM
ejpam-798	120	5	percentile	percentile	NOUN
ejpam-798	120	6	(	(	PUNCT
ejpam-798	120	7	bts	bts	NOUN
ejpam-798	120	8	l	l	NOUN
ejpam-798	120	9	)	)	PUNCT
ejpam-798	120	10	and	and	CCONJ
ejpam-798	120	11	(	(	PUNCT
ejpam-798	120	12	1	1	NUM
ejpam-798	120	13	−	−	PROPN
ejpam-798	120	14	α/2	α/2	NUM
ejpam-798	120	15	)	)	PUNCT
ejpam-798	120	16	percentile	percentile	NOUN
ejpam-798	120	17	(	(	PUNCT
ejpam-798	120	18	bts	bt	NOUN
ejpam-798	120	19	u	u	NOUN
ejpam-798	120	20	)	)	PUNCT
ejpam-798	120	21	to	to	PART
ejpam-798	120	22	be	be	AUX
ejpam-798	120	23	approximations	approximation	NOUN
ejpam-798	120	24	for	for	ADP
ejpam-798	120	25	ts	ts	ADP
ejpam-798	120	26	l	l	PROPN
ejpam-798	120	27	and	and	CCONJ
ejpam-798	120	28	ts	ts	X
ejpam-798	120	29	u	u	PROPN
ejpam-798	120	30	,	,	PUNCT
ejpam-798	120	31	respectively	respectively	ADV
ejpam-798	120	32	.	.	PUNCT
ejpam-798	121	1	the	the	DET
ejpam-798	121	2	(	(	PUNCT
ejpam-798	121	3	1−α)%	1−α)%	NUM
ejpam-798	121	4	bootstrap	bootstrap	NOUN
ejpam-798	121	5	confidence	confidence	NOUN
ejpam-798	121	6	interval	interval	NOUN
ejpam-798	121	7	is	be	AUX
ejpam-798	121	8	given	give	VERB
ejpam-798	121	9	by	by	ADP
ejpam-798	121	10	[	[	PUNCT
ejpam-798	121	11	δni	δni	PROPN
ejpam-798	121	12	−bts	−bts	ADJ
ejpam-798	121	13	usi	usi	NOUN
ejpam-798	121	14	/	/	SYM
ejpam-798	121	15	n	n	SYM
ejpam-798	121	16	1/2,δni	1/2,δni	NUM
ejpam-798	121	17	−bts	−bts	PART
ejpam-798	121	18	lsi	lsi	PROPN
ejpam-798	121	19	/	/	SYM
ejpam-798	121	20	n	n	NOUN
ejpam-798	121	21	1/2	1/2	NUM
ejpam-798	121	22	]	]	PUNCT
ejpam-798	121	23	.	.	PUNCT
ejpam-798	122	1	(	(	PUNCT
ejpam-798	122	2	9	9	X
ejpam-798	122	3	)	)	PUNCT
ejpam-798	122	4	†we	†we	AUX
ejpam-798	122	5	use	use	VERB
ejpam-798	122	6	the	the	DET
ejpam-798	122	7	multivariate	multivariate	NOUN
ejpam-798	122	8	normal	normal	ADJ
ejpam-798	122	9	random	random	ADJ
ejpam-798	122	10	vector	vector	NOUN
ejpam-798	122	11	generator	generator	NOUN
ejpam-798	122	12	,	,	PUNCT
ejpam-798	122	13	dnrvg	dnrvg	PROPN
ejpam-798	122	14	,	,	PUNCT
ejpam-798	122	15	which	which	PRON
ejpam-798	122	16	is	be	AUX
ejpam-798	122	17	a	a	DET
ejpam-798	122	18	fortran	fortran	ADJ
ejpam-798	122	19	subroutine	subroutine	NOUN
ejpam-798	122	20	in	in	ADP
ejpam-798	122	21	nswc	nswc	PROPN
ejpam-798	122	22	(	(	PUNCT
ejpam-798	122	23	naval	naval	ADJ
ejpam-798	122	24	surface	surface	NOUN
ejpam-798	122	25	warfare	warfare	NOUN
ejpam-798	122	26	center	center	NOUN
ejpam-798	122	27	)	)	PUNCT
ejpam-798	122	28	library	library	NOUN
ejpam-798	122	29	.	.	PUNCT
ejpam-798	123	1	we	we	PRON
ejpam-798	123	2	set	set	VERB
ejpam-798	123	3	the	the	DET
ejpam-798	123	4	seed	seed	NOUN
ejpam-798	123	5	to	to	PART
ejpam-798	123	6	be	be	AUX
ejpam-798	123	7	3833981	3833981	NUM
ejpam-798	123	8	.	.	PUNCT
ejpam-798	124	1	‡for	‡for	ADP
ejpam-798	124	2	the	the	DET
ejpam-798	124	3	percentile	percentile	ADJ
ejpam-798	124	4	method	method	NOUN
ejpam-798	124	5	the	the	DET
ejpam-798	124	6	population	population	NOUN
ejpam-798	124	7	equation	equation	NOUN
ejpam-798	124	8	is	be	AUX
ejpam-798	124	9	pr	pr	NOUN
ejpam-798	125	1	[	[	X
ejpam-798	125	2	t	t	X
ejpam-798	125	3	p	p	X
ejpam-798	125	4	l	l	NOUN
ejpam-798	125	5	<	<	X
ejpam-798	125	6	δni	δni	PROPN
ejpam-798	125	7	−	−	PROPN
ejpam-798	126	1	β	β	NOUN
ejpam-798	126	2	0	0	PUNCT
ejpam-798	127	1	i	i	PRON
ejpam-798	127	2	<	<	X
ejpam-798	127	3	t	t	PROPN
ejpam-798	127	4	p	p	X
ejpam-798	127	5	u	u	X
ejpam-798	127	6	]	]	X
ejpam-798	127	7	=	=	SYM
ejpam-798	127	8	1−	1−	NUM
ejpam-798	127	9	α	α	NOUN
ejpam-798	127	10	and	and	CCONJ
ejpam-798	127	11	the	the	DET
ejpam-798	127	12	sample	sample	NOUN
ejpam-798	127	13	equation	equation	NOUN
ejpam-798	127	14	is	be	AUX
ejpam-798	127	15	pr[t	pr[t	PROPN
ejpam-798	127	16	s	s	PROPN
ejpam-798	128	1	l	l	NOUN
ejpam-798	128	2	<	<	X
ejpam-798	128	3	δ∗	δ∗	PROPN
ejpam-798	128	4	ni	ni	PROPN
ejpam-798	128	5	−	−	PROPN
ejpam-798	128	6	δni	δni	PROPN
ejpam-798	128	7	<	<	X
ejpam-798	128	8	t	t	PROPN
ejpam-798	128	9	s	s	X
ejpam-798	128	10	u	u	X
ejpam-798	128	11	]	]	X
ejpam-798	128	12	=	=	SYM
ejpam-798	128	13	1−	1−	NUM
ejpam-798	128	14	α	α	NOUN
ejpam-798	128	15	.	.	PUNCT
ejpam-798	129	1	we	we	PRON
ejpam-798	129	2	compute	compute	VERB
ejpam-798	129	3	the	the	DET
ejpam-798	129	4	naïve	naïve	ADJ
ejpam-798	129	5	percentile	percentile	ADJ
ejpam-798	129	6	confidence	confidence	NOUN
ejpam-798	129	7	intervals	interval	NOUN
ejpam-798	129	8	by	by	ADP
ejpam-798	129	9	taking	take	VERB
ejpam-798	129	10	the	the	DET
ejpam-798	129	11	α/2	α/2	NOUN
ejpam-798	129	12	and	and	CCONJ
ejpam-798	129	13	(	(	PUNCT
ejpam-798	129	14	1−	1−	NUM
ejpam-798	129	15	α/2	α/2	NUM
ejpam-798	129	16	)	)	PUNCT
ejpam-798	129	17	percentiles	percentile	NOUN
ejpam-798	129	18	of	of	ADP
ejpam-798	129	19	{	{	PUNCT
ejpam-798	129	20	δ∗	δ∗	PROPN
ejpam-798	129	21	ni	ni	PROPN
ejpam-798	129	22	;	;	PUNCT
ejpam-798	129	23	i	i	NOUN
ejpam-798	129	24	=	=	NOUN
ejpam-798	129	25	1	1	NUM
ejpam-798	129	26	,	,	PUNCT
ejpam-798	129	27	2	2	NUM
ejpam-798	129	28	,	,	PUNCT
ejpam-798	129	29	.	.	PUNCT
ejpam-798	129	30	.	.	PUNCT
ejpam-798	130	1	.	.	PUNCT
ejpam-798	131	1	,	,	PUNCT
ejpam-798	131	2	m	m	VERB
ejpam-798	131	3	}	}	PUNCT
ejpam-798	131	4	.	.	PUNCT
ejpam-798	132	1	the	the	DET
ejpam-798	132	2	normal	normal	ADJ
ejpam-798	132	3	approximation	approximation	NOUN
ejpam-798	132	4	interval	interval	NOUN
ejpam-798	132	5	is	be	AUX
ejpam-798	132	6	given	give	VERB
ejpam-798	132	7	by	by	ADP
ejpam-798	132	8	[	[	X
ejpam-798	132	9	δni	δni	PROPN
ejpam-798	132	10	−	−	PROPN
ejpam-798	132	11	1.96si	1.96si	NUM
ejpam-798	132	12	/	/	SYM
ejpam-798	132	13	n	n	NUM
ejpam-798	132	14	1/2	1/2	NUM
ejpam-798	132	15	,	,	PUNCT
ejpam-798	132	16	δni	δni	PROPN
ejpam-798	132	17	+	+	X
ejpam-798	132	18	1.96si	1.96si	NUM
ejpam-798	132	19	/	/	SYM
ejpam-798	132	20	n	n	PRON
ejpam-798	132	21	1/2	1/2	NUM
ejpam-798	132	22	]	]	PUNCT
ejpam-798	132	23	.	.	PUNCT
ejpam-798	133	1	§	§	PROPN
ejpam-798	133	2	[	[	X
ejpam-798	133	3	3	3	NUM
ejpam-798	133	4	,	,	PUNCT
ejpam-798	133	5	19	19	NUM
ejpam-798	133	6	]	]	PUNCT
ejpam-798	133	7	bootstrap	bootstrap	NOUN
ejpam-798	133	8	residuals	residual	NOUN
ejpam-798	133	9	.	.	PUNCT
ejpam-798	134	1	we	we	PRON
ejpam-798	134	2	prefer	prefer	VERB
ejpam-798	134	3	bootstrapping	bootstrappe	VERB
ejpam-798	134	4	pairs	pair	NOUN
ejpam-798	134	5	because	because	SCONJ
ejpam-798	134	6	this	this	PRON
ejpam-798	134	7	is	be	AUX
ejpam-798	134	8	more	more	ADV
ejpam-798	134	9	robust	robust	ADJ
ejpam-798	134	10	to	to	ADP
ejpam-798	134	11	assumptions	assumption	NOUN
ejpam-798	134	12	on	on	ADP
ejpam-798	134	13	the	the	DET
ejpam-798	134	14	error	error	NOUN
ejpam-798	134	15	term	term	NOUN
ejpam-798	134	16	.	.	PUNCT
ejpam-798	135	1	see	see	VERB
ejpam-798	135	2	[	[	X
ejpam-798	135	3	4	4	NUM
ejpam-798	135	4	]	]	PUNCT
ejpam-798	135	5	.	.	PUNCT
ejpam-798	136	1	t.	t.	PROPN
ejpam-798	136	2	kim	kim	PROPN
ejpam-798	136	3	and	and	CCONJ
ejpam-798	136	4	h.	h.	PROPN
ejpam-798	136	5	white	white	PROPN
ejpam-798	136	6	/	/	SYM
ejpam-798	136	7	eur	eur	PROPN
ejpam-798	136	8	.	.	PUNCT
ejpam-798	137	1	j.	j.	PROPN
ejpam-798	137	2	pure	pure	PROPN
ejpam-798	137	3	appl	appl	PROPN
ejpam-798	137	4	.	.	PROPN
ejpam-798	137	5	math	math	PROPN
ejpam-798	137	6	,	,	PUNCT
ejpam-798	137	7	3	3	NUM
ejpam-798	137	8	(	(	PUNCT
ejpam-798	137	9	2010	2010	NUM
ejpam-798	137	10	)	)	PUNCT
ejpam-798	137	11	,	,	PUNCT
ejpam-798	137	12	371	371	NUM
ejpam-798	137	13	-	-	SYM
ejpam-798	137	14	381	381	NUM
ejpam-798	137	15	376table	376table	PROPN
ejpam-798	137	16	1	1	NUM
ejpam-798	137	17	:	:	PUNCT
ejpam-798	137	18	standard	standard	ADJ
ejpam-798	137	19	errors	error	NOUN
ejpam-798	137	20	and	and	CCONJ
ejpam-798	137	21	t	t	NOUN
ejpam-798	137	22	-	-	PUNCT
ejpam-798	137	23	values	value	NOUN
ejpam-798	137	24	.	.	PUNCT
ejpam-798	138	1	estimator	estimator	NOUN
ejpam-798	138	2	variable	variable	PROPN
ejpam-798	138	3	coefficient	coefficient	NOUN
ejpam-798	138	4	std	std	PROPN
ejpam-798	138	5	.	.	NOUN
ejpam-798	138	6	error	error	NOUN
ejpam-798	138	7	t	t	NOUN
ejpam-798	138	8	-	-	PUNCT
ejpam-798	138	9	value	value	NOUN
ejpam-798	138	10	ls	ls	NOUN
ejpam-798	139	1	x1	x1	ADJ
ejpam-798	139	2	0.077618	0.077618	NUM
ejpam-798	139	3	0.172397	0.172397	NUM
ejpam-798	139	4	0.450227	0.450227	NUM
ejpam-798	139	5	x2	x2	NOUN
ejpam-798	139	6	−0.005561	−0.005561	NUM
ejpam-798	139	7	0.169351	0.169351	NUM
ejpam-798	139	8	−0.032840	−0.032840	NOUN
ejpam-798	139	9	x3	x3	NOUN
ejpam-798	139	10	0.015524	0.015524	NUM
ejpam-798	139	11	0.190734	0.190734	NUM
ejpam-798	139	12	0.081391	0.081391	NUM
ejpam-798	139	13	lad	lad	NOUN
ejpam-798	139	14	x1	x1	NOUN
ejpam-798	139	15	−0.001885	−0.001885	NUM
ejpam-798	139	16	0.221519	0.221519	NUM
ejpam-798	139	17	−0.008510	−0.008510	PUNCT
ejpam-798	139	18	x2	x2	NOUN
ejpam-798	139	19	0.050000	0.050000	NUM
ejpam-798	139	20	0.217604	0.217604	NUM
ejpam-798	139	21	0.229775	0.229775	NUM
ejpam-798	139	22	x3	x3	ADJ
ejpam-798	139	23	0.045658	0.045658	NUM
ejpam-798	139	24	0.245080	0.245080	NUM
ejpam-798	139	25	0.186299	0.186299	NUM
ejpam-798	139	26	ows	ow	NOUN
ejpam-798	139	27	x1	x1	NOUN
ejpam-798	139	28	0.072559	0.072559	NUM
ejpam-798	139	29	0.171099	0.171099	NUM
ejpam-798	139	30	0.424076	0.424076	NUM
ejpam-798	139	31	x2	x2	NOUN
ejpam-798	139	32	−0.002030	−0.002030	NUM
ejpam-798	139	33	0.168950	0.168950	NUM
ejpam-798	139	34	−0.011990	−0.011990	NUM
ejpam-798	139	35	x3	x3	NOUN
ejpam-798	139	36	0.017442	0.017442	NUM
ejpam-798	140	1	0.189935	0.189935	NUM
ejpam-798	140	2	0.091832	0.091832	NUM
ejpam-798	140	3	table	table	NOUN
ejpam-798	140	4	1	1	NUM
ejpam-798	140	5	summarizes	summarize	NOUN
ejpam-798	140	6	the	the	DET
ejpam-798	140	7	regression	regression	NOUN
ejpam-798	140	8	results	result	NOUN
ejpam-798	140	9	using	use	VERB
ejpam-798	140	10	the	the	DET
ejpam-798	140	11	original	original	ADJ
ejpam-798	140	12	data	datum	NOUN
ejpam-798	140	13	.	.	PUNCT
ejpam-798	141	1	the	the	DET
ejpam-798	141	2	lad	lad	NOUN
ejpam-798	141	3	estimates	estimate	NOUN
ejpam-798	141	4	have	have	VERB
ejpam-798	141	5	uniformly	uniformly	ADV
ejpam-798	141	6	higher	high	ADJ
ejpam-798	141	7	standard	standard	ADJ
ejpam-798	141	8	errors	error	NOUN
ejpam-798	141	9	than	than	ADP
ejpam-798	141	10	the	the	DET
ejpam-798	141	11	ols	ol	NOUN
ejpam-798	141	12	estimates	estimate	NOUN
ejpam-798	141	13	as	as	SCONJ
ejpam-798	141	14	we	we	PRON
ejpam-798	141	15	should	should	AUX
ejpam-798	141	16	expect	expect	VERB
ejpam-798	141	17	,	,	PUNCT
ejpam-798	141	18	since	since	SCONJ
ejpam-798	141	19	the	the	DET
ejpam-798	141	20	ols	ol	NOUN
ejpam-798	141	21	estimator	estimator	NOUN
ejpam-798	141	22	is	be	AUX
ejpam-798	141	23	the	the	DET
ejpam-798	141	24	maximum	maximum	ADJ
ejpam-798	141	25	likelihood	likelihood	NOUN
ejpam-798	141	26	estimator	estimator	NOUN
ejpam-798	141	27	here	here	ADV
ejpam-798	141	28	.	.	PUNCT
ejpam-798	142	1	the	the	DET
ejpam-798	142	2	standard	standard	ADJ
ejpam-798	142	3	errors	error	NOUN
ejpam-798	142	4	of	of	ADP
ejpam-798	142	5	the	the	DET
ejpam-798	142	6	ows	ows	PROPN
ejpam-798	142	7	estimator	estimator	NOUN
ejpam-798	142	8	are	be	AUX
ejpam-798	142	9	quite	quite	ADV
ejpam-798	142	10	comparable	comparable	ADJ
ejpam-798	142	11	to	to	ADP
ejpam-798	142	12	those	those	PRON
ejpam-798	142	13	of	of	ADP
ejpam-798	142	14	the	the	DET
ejpam-798	142	15	ols	ol	NOUN
ejpam-798	142	16	estimator	estimator	NOUN
ejpam-798	142	17	.	.	PUNCT
ejpam-798	143	1	table	table	NOUN
ejpam-798	143	2	2¶	2¶	NOUN
ejpam-798	143	3	shows	show	VERB
ejpam-798	143	4	the	the	DET
ejpam-798	143	5	bootstrap	bootstrap	NOUN
ejpam-798	143	6	95	95	NUM
ejpam-798	143	7	%	%	NOUN
ejpam-798	143	8	confidence	confidence	NOUN
ejpam-798	143	9	intervals	interval	NOUN
ejpam-798	143	10	and	and	CCONJ
ejpam-798	143	11	some	some	DET
ejpam-798	143	12	descriptive	descriptive	ADJ
ejpam-798	143	13	statistics	statistic	NOUN
ejpam-798	143	14	such	such	ADJ
ejpam-798	143	15	as	as	ADP
ejpam-798	143	16	the	the	DET
ejpam-798	143	17	length	length	NOUN
ejpam-798	143	18	and	and	CCONJ
ejpam-798	143	19	shape	shape	NOUN
ejpam-798	143	20	of	of	ADP
ejpam-798	143	21	the	the	DET
ejpam-798	143	22	intervals‖.	intervals‖.	PROPN
ejpam-798	143	23	the	the	DET
ejpam-798	143	24	percentile−t	percentile−t	PROPN
ejpam-798	143	25	bootstrap	bootstrap	NOUN
ejpam-798	143	26	confidence	confidence	NOUN
ejpam-798	143	27	intervals	interval	NOUN
ejpam-798	143	28	are	be	AUX
ejpam-798	143	29	[	[	X
ejpam-798	143	30	-.243	-.243	PROPN
ejpam-798	143	31	,	,	PUNCT
ejpam-798	143	32	.434	.434	NUM
ejpam-798	143	33	]	]	PUNCT
ejpam-798	143	34	,	,	PUNCT
ejpam-798	144	1	[	[	X
ejpam-798	144	2	-.336	-.336	ADJ
ejpam-798	144	3	,	,	PUNCT
ejpam-798	144	4	.296	.296	NUM
ejpam-798	144	5	]	]	X
ejpam-798	144	6	,	,	PUNCT
ejpam-798	144	7	and	and	CCONJ
ejpam-798	144	8	[	[	X
ejpam-798	144	9	-.349	-.349	PROPN
ejpam-798	144	10	,	,	PUNCT
ejpam-798	144	11	.406	.406	NUM
ejpam-798	144	12	]	]	PUNCT
ejpam-798	144	13	.	.	PUNCT
ejpam-798	145	1	the	the	DET
ejpam-798	145	2	confidence	confidence	NOUN
ejpam-798	145	3	intervals	interval	NOUN
ejpam-798	145	4	cover	cover	VERB
ejpam-798	145	5	the	the	DET
ejpam-798	145	6	true	true	ADJ
ejpam-798	145	7	β0	β0	NOUN
ejpam-798	145	8	correctly	correctly	ADV
ejpam-798	145	9	.	.	PUNCT
ejpam-798	146	1	note	note	VERB
ejpam-798	146	2	that	that	SCONJ
ejpam-798	146	3	these	these	PRON
ejpam-798	146	4	are	be	AUX
ejpam-798	146	5	not	not	PART
ejpam-798	146	6	symmetric	symmetric	ADJ
ejpam-798	146	7	intervals	interval	NOUN
ejpam-798	146	8	,	,	PUNCT
ejpam-798	146	9	according	accord	VERB
ejpam-798	146	10	to	to	ADP
ejpam-798	146	11	the	the	DET
ejpam-798	146	12	reported	report	VERB
ejpam-798	146	13	shape	shape	NOUN
ejpam-798	146	14	statistics	statistic	NOUN
ejpam-798	146	15	.	.	PUNCT
ejpam-798	147	1	the	the	DET
ejpam-798	147	2	non	non	ADJ
ejpam-798	147	3	-	-	NOUN
ejpam-798	147	4	symmetry	symmetry	NOUN
ejpam-798	147	5	can	can	AUX
ejpam-798	147	6	be	be	AUX
ejpam-798	147	7	visualized	visualize	VERB
ejpam-798	147	8	using	use	VERB
ejpam-798	147	9	the	the	DET
ejpam-798	147	10	histograms	histogram	NOUN
ejpam-798	147	11	of	of	ADP
ejpam-798	147	12	the	the	DET
ejpam-798	147	13	standardized	standardized	ADJ
ejpam-798	147	14	bootstrap	bootstrap	NOUN
ejpam-798	147	15	estimates	estimate	NOUN
ejpam-798	147	16	given	give	VERB
ejpam-798	147	17	in	in	ADP
ejpam-798	147	18	figures	figure	NOUN
ejpam-798	147	19	1	1	NUM
ejpam-798	147	20	-	-	SYM
ejpam-798	147	21	3	3	NUM
ejpam-798	147	22	.	.	PUNCT
ejpam-798	148	1	in	in	ADP
ejpam-798	148	2	many	many	ADJ
ejpam-798	148	3	cases	case	NOUN
ejpam-798	148	4	,	,	PUNCT
ejpam-798	148	5	enforcing	enforce	VERB
ejpam-798	148	6	symmetry	symmetry	NOUN
ejpam-798	148	7	will	will	AUX
ejpam-798	148	8	cause	cause	VERB
ejpam-798	148	9	size	size	NOUN
ejpam-798	148	10	distortions	distortion	NOUN
ejpam-798	148	11	.	.	PUNCT
ejpam-798	149	1	allowing	allow	VERB
ejpam-798	149	2	for	for	ADP
ejpam-798	149	3	asymmetry	asymmetry	NOUN
ejpam-798	149	4	can	can	AUX
ejpam-798	149	5	be	be	AUX
ejpam-798	149	6	considered	consider	VERB
ejpam-798	149	7	an	an	DET
ejpam-798	149	8	advantage	advantage	NOUN
ejpam-798	149	9	of	of	ADP
ejpam-798	149	10	using	use	VERB
ejpam-798	149	11	the	the	DET
ejpam-798	149	12	bootstrap	bootstrap	NOUN
ejpam-798	149	13	method	method	NOUN
ejpam-798	149	14	.	.	PUNCT
ejpam-798	150	1	the	the	DET
ejpam-798	150	2	percentile	percentile	ADJ
ejpam-798	150	3	confidence	confidence	NOUN
ejpam-798	150	4	intervals	interval	NOUN
ejpam-798	150	5	are	be	AUX
ejpam-798	150	6	fairly	fairly	ADV
ejpam-798	150	7	comparable	comparable	ADJ
ejpam-798	150	8	to	to	ADP
ejpam-798	150	9	the	the	DET
ejpam-798	150	10	percentile−t	percentile−t	NOUN
ejpam-798	150	11	confidence	confidence	NOUN
ejpam-798	150	12	intervals	interval	NOUN
ejpam-798	150	13	.	.	PUNCT
ejpam-798	151	1	they	they	PRON
ejpam-798	151	2	also	also	ADV
ejpam-798	151	3	are	be	AUX
ejpam-798	151	4	not	not	PART
ejpam-798	151	5	symmetric	symmetric	ADJ
ejpam-798	151	6	and	and	CCONJ
ejpam-798	151	7	are	be	AUX
ejpam-798	151	8	a	a	DET
ejpam-798	151	9	little	little	ADJ
ejpam-798	151	10	bit	bit	NOUN
ejpam-798	151	11	shorter	short	ADJ
ejpam-798	151	12	.	.	PUNCT
ejpam-798	152	1	as	as	SCONJ
ejpam-798	152	2	expected	expect	VERB
ejpam-798	152	3	,	,	PUNCT
ejpam-798	152	4	the	the	DET
ejpam-798	152	5	naïve	naïve	ADJ
ejpam-798	152	6	percentile	percentile	ADJ
ejpam-798	152	7	intervals	interval	NOUN
ejpam-798	152	8	have	have	VERB
ejpam-798	152	9	the	the	DET
ejpam-798	152	10	exact	exact	ADJ
ejpam-798	152	11	same	same	ADJ
ejpam-798	152	12	length	length	NOUN
ejpam-798	152	13	as	as	ADP
ejpam-798	152	14	the	the	DET
ejpam-798	152	15	percentile	percentile	ADJ
ejpam-798	152	16	intervals	interval	NOUN
ejpam-798	152	17	,	,	PUNCT
ejpam-798	152	18	because	because	SCONJ
ejpam-798	152	19	the	the	DET
ejpam-798	152	20	naïve	naïve	ADJ
ejpam-798	152	21	percentile	percentile	ADJ
ejpam-798	152	22	intervals	interval	NOUN
ejpam-798	152	23	are	be	AUX
ejpam-798	152	24	a	a	DET
ejpam-798	152	25	shifted	shift	VERB
ejpam-798	152	26	version	version	NOUN
ejpam-798	152	27	of	of	ADP
ejpam-798	152	28	the	the	DET
ejpam-798	152	29	percentile	percentile	ADJ
ejpam-798	152	30	intervals	interval	NOUN
ejpam-798	152	31	.	.	PUNCT
ejpam-798	153	1	¶let	¶let	PROPN
ejpam-798	153	2	’	'	PUNCT
ejpam-798	153	3	cl	cl	NOUN
ejpam-798	153	4	’	'	PUNCT
ejpam-798	153	5	be	be	VERB
ejpam-798	153	6	the	the	DET
ejpam-798	153	7	lower	lower	ADV
ejpam-798	153	8	bound	bind	VERB
ejpam-798	153	9	and	and	CCONJ
ejpam-798	153	10	’	'	PUNCT
ejpam-798	153	11	cu	cu	PROPN
ejpam-798	153	12	’	'	PUNCT
ejpam-798	153	13	be	be	VERB
ejpam-798	153	14	the	the	DET
ejpam-798	153	15	upper	upper	ADJ
ejpam-798	153	16	bound	bound	NOUN
ejpam-798	153	17	of	of	ADP
ejpam-798	153	18	a	a	DET
ejpam-798	153	19	confidence	confidence	NOUN
ejpam-798	153	20	interval	interval	NOUN
ejpam-798	153	21	.	.	PUNCT
ejpam-798	154	1	then	then	ADV
ejpam-798	154	2	’	'	PUNCT
ejpam-798	154	3	length	length	NOUN
ejpam-798	154	4	’	'	PUNCT
ejpam-798	154	5	and	and	CCONJ
ejpam-798	154	6	’	'	PUNCT
ejpam-798	154	7	shape	shape	NOUN
ejpam-798	154	8	’	'	PUNCT
ejpam-798	154	9	are	be	AUX
ejpam-798	154	10	defined	define	VERB
ejpam-798	154	11	as	as	SCONJ
ejpam-798	154	12	follows	follow	VERB
ejpam-798	154	13	.	.	PUNCT
ejpam-798	155	1	(	(	PUNCT
ejpam-798	155	2	1	1	X
ejpam-798	155	3	)	)	PUNCT
ejpam-798	155	4	length	length	NOUN
ejpam-798	155	5	=	=	SYM
ejpam-798	155	6	cu	cu	PROPN
ejpam-798	155	7	cl	cl	NOUN
ejpam-798	155	8	.	.	PUNCT
ejpam-798	156	1	(	(	PUNCT
ejpam-798	156	2	2	2	NUM
ejpam-798	156	3	)	)	PUNCT
ejpam-798	156	4	shape	shape	NOUN
ejpam-798	156	5	=	=	SYM
ejpam-798	156	6	(	(	PUNCT
ejpam-798	156	7	cu	cu	PROPN
ejpam-798	156	8	b)/(b	b)/(b	PROPN
ejpam-798	156	9	cl	cl	NOUN
ejpam-798	156	10	)	)	PUNCT
ejpam-798	156	11	where	where	SCONJ
ejpam-798	156	12	b	b	NOUN
ejpam-798	156	13	is	be	AUX
ejpam-798	156	14	the	the	DET
ejpam-798	156	15	jslad	jslad	ADJ
ejpam-798	156	16	estimate	estimate	NOUN
ejpam-798	156	17	computed	compute	VERB
ejpam-798	156	18	from	from	ADP
ejpam-798	156	19	the	the	DET
ejpam-798	156	20	original	original	ADJ
ejpam-798	156	21	data	datum	NOUN
ejpam-798	156	22	set	set	VERB
ejpam-798	156	23	.	.	PUNCT
ejpam-798	157	1	shape	shape	NOUN
ejpam-798	157	2	measures	measure	NOUN
ejpam-798	157	3	how	how	SCONJ
ejpam-798	157	4	asymmetric	asymmetric	ADJ
ejpam-798	157	5	the	the	DET
ejpam-798	157	6	bootstrap	bootstrap	NOUN
ejpam-798	157	7	confidence	confidence	NOUN
ejpam-798	157	8	interval	interval	NOUN
ejpam-798	157	9	is	be	AUX
ejpam-798	157	10	around	around	ADP
ejpam-798	157	11	its	its	PRON
ejpam-798	157	12	center	center	NOUN
ejpam-798	157	13	(	(	PUNCT
ejpam-798	157	14	b	b	NOUN
ejpam-798	157	15	)	)	PUNCT
ejpam-798	157	16	.	.	PUNCT
ejpam-798	158	1	if	if	SCONJ
ejpam-798	158	2	shape	shape	NOUN
ejpam-798	158	3	>	>	X
ejpam-798	158	4	1	1	NUM
ejpam-798	158	5	,	,	PUNCT
ejpam-798	158	6	then	then	ADV
ejpam-798	158	7	(	(	PUNCT
ejpam-798	158	8	cu	cu	PROPN
ejpam-798	158	9	b	b	PROPN
ejpam-798	158	10	)	)	PUNCT
ejpam-798	158	11	>	>	X
ejpam-798	159	1	(	(	PUNCT
ejpam-798	159	2	b	b	NOUN
ejpam-798	159	3	cl	cl	NOUN
ejpam-798	159	4	)	)	PUNCT
ejpam-798	159	5	.	.	PUNCT
ejpam-798	160	1	if	if	SCONJ
ejpam-798	160	2	shape	shape	NOUN
ejpam-798	160	3	<	<	X
ejpam-798	160	4	1	1	NUM
ejpam-798	160	5	,	,	PUNCT
ejpam-798	160	6	then	then	ADV
ejpam-798	160	7	(	(	PUNCT
ejpam-798	160	8	cu	cu	PROPN
ejpam-798	160	9	b	b	PROPN
ejpam-798	160	10	)	)	PUNCT
ejpam-798	160	11	<	<	X
ejpam-798	160	12	(	(	PUNCT
ejpam-798	160	13	b	b	NOUN
ejpam-798	160	14	cl	cl	NOUN
ejpam-798	160	15	)	)	PUNCT
ejpam-798	160	16	.	.	PUNCT
ejpam-798	161	1	‖we	‖we	PRON
ejpam-798	161	2	use	use	VERB
ejpam-798	161	3	the	the	DET
ejpam-798	161	4	dqagi	dqagi	PROPN
ejpam-798	161	5	subroutine	subroutine	NOUN
ejpam-798	161	6	in	in	ADP
ejpam-798	161	7	nswc	nswc	NOUN
ejpam-798	161	8	library	library	NOUN
ejpam-798	161	9	which	which	PRON
ejpam-798	161	10	allows	allow	VERB
ejpam-798	161	11	us	we	PRON
ejpam-798	161	12	to	to	PART
ejpam-798	161	13	compute	compute	VERB
ejpam-798	161	14	the	the	DET
ejpam-798	161	15	required	require	VERB
ejpam-798	161	16	integrals	integral	NOUN
ejpam-798	161	17	.	.	PUNCT
ejpam-798	162	1	t.	t.	PROPN
ejpam-798	162	2	kim	kim	PROPN
ejpam-798	162	3	and	and	CCONJ
ejpam-798	162	4	h.	h.	PROPN
ejpam-798	162	5	white	white	PROPN
ejpam-798	162	6	/	/	SYM
ejpam-798	162	7	eur	eur	PROPN
ejpam-798	162	8	.	.	PUNCT
ejpam-798	163	1	j.	j.	PROPN
ejpam-798	163	2	pure	pure	PROPN
ejpam-798	163	3	appl	appl	PROPN
ejpam-798	163	4	.	.	PROPN
ejpam-798	163	5	math	math	PROPN
ejpam-798	163	6	,	,	PUNCT
ejpam-798	163	7	3	3	NUM
ejpam-798	163	8	(	(	PUNCT
ejpam-798	163	9	2010	2010	NUM
ejpam-798	163	10	)	)	PUNCT
ejpam-798	163	11	,	,	PUNCT
ejpam-798	163	12	371	371	NUM
ejpam-798	163	13	-	-	SYM
ejpam-798	163	14	381	381	NUM
ejpam-798	163	15	377table	377table	PROPN
ejpam-798	163	16	2	2	NUM
ejpam-798	163	17	:	:	PUNCT
ejpam-798	163	18	bootstrap	bootstrap	NOUN
ejpam-798	163	19	95	95	NUM
ejpam-798	163	20	%	%	NOUN
ejpam-798	163	21	con	con	PROPN
ejpam-798	163	22	�	�	PROPN
ejpam-798	163	23	den	den	NOUN
ejpam-798	163	24	e	e	NOUN
ejpam-798	163	25	intervals	interval	NOUN
ejpam-798	163	26	.	.	PUNCT
ejpam-798	164	1	confidence	confidence	NOUN
ejpam-798	164	2	interval	interval	NOUN
ejpam-798	164	3	method	method	NOUN
ejpam-798	164	4	lower	lower	ADV
ejpam-798	164	5	bound	bind	VERB
ejpam-798	164	6	upper	upper	ADJ
ejpam-798	164	7	bound	bind	VERB
ejpam-798	164	8	length	length	NOUN
ejpam-798	164	9	shape	shape	NOUN
ejpam-798	164	10	percentile	percentile	NOUN
ejpam-798	164	11	-	-	PUNCT
ejpam-798	164	12	t	t	NOUN
ejpam-798	164	13	x1	x1	NUM
ejpam-798	164	14	−0.24321	−0.24321	NOUN
ejpam-798	164	15	0.434032	0.434032	NUM
ejpam-798	164	16	0.677245	0.677245	NUM
ejpam-798	164	17	1.144725	1.144725	NUM
ejpam-798	164	18	(	(	PUNCT
ejpam-798	164	19	studentized	studentize	VERB
ejpam-798	164	20	)	)	PUNCT
ejpam-798	165	1	x2	x2	NOUN
ejpam-798	166	1	−0.33606	−0.33606	VERB
ejpam-798	167	1	0.296353	0.296353	NUM
ejpam-798	167	2	0.632408	0.632408	NUM
ejpam-798	167	3	0.893269	0.893269	NUM
ejpam-798	167	4	x3	x3	ADJ
ejpam-798	167	5	−0.34916	−0.34916	PROPN
ejpam-798	167	6	0.406528	0.406528	NUM
ejpam-798	167	7	0.755685	0.755685	NUM
ejpam-798	167	8	1.061344	1.061344	NUM
ejpam-798	167	9	percentile	percentile	ADJ
ejpam-798	167	10	-	-	PUNCT
ejpam-798	167	11	t	t	NOUN
ejpam-798	167	12	x1	x1	NOUN
ejpam-798	167	13	−0.25978	−0.25978	X
ejpam-798	167	14	0.395289	0.395289	NUM
ejpam-798	167	15	0.655070	0.655070	NUM
ejpam-798	167	16	0.971079	0.971079	NUM
ejpam-798	167	17	(	(	PUNCT
ejpam-798	167	18	unstudentized	unstudentized	ADJ
ejpam-798	167	19	)	)	PUNCT
ejpam-798	167	20	x2	x2	SYM
ejpam-798	167	21	−0.33165	−0.33165	NUM
ejpam-798	168	1	0.301504	0.301504	NUM
ejpam-798	168	2	0.633151	0.633151	NUM
ejpam-798	168	3	0.920841	0.920841	NUM
ejpam-798	168	4	x3	x3	ADJ
ejpam-798	168	5	−0.32338	−0.32338	NUM
ejpam-798	168	6	0.383159	0.383159	NUM
ejpam-798	168	7	0.706539	0.706539	NUM
ejpam-798	168	8	1.073044	1.073044	NUM
ejpam-798	168	9	naïve	naïve	ADJ
ejpam-798	168	10	x1	x1	PRON
ejpam-798	168	11	−0.25017	−0.25017	NUM
ejpam-798	168	12	0.404900	0.404900	NUM
ejpam-798	168	13	0.655070	0.655070	NUM
ejpam-798	168	14	0	0	PUNCT
ejpam-798	168	15	(	(	PUNCT
ejpam-798	168	16	percentile	percentile	ADJ
ejpam-798	168	17	)	)	PUNCT
ejpam-798	168	18	x2	x2	PROPN
ejpam-798	168	19	−0.30556	−0.30556	PROPN
ejpam-798	168	20	0.327596	0.327596	NUM
ejpam-798	169	1	0.633151	0.633151	NUM
ejpam-798	169	2	0	0	NUM
ejpam-798	169	3	x3	x3	ADJ
ejpam-798	169	4	−0.34828	−0.34828	NOUN
ejpam-798	169	5	0.358264	0.358264	NUM
ejpam-798	169	6	0.706539	0.706539	NUM
ejpam-798	169	7	0	0	NUM
ejpam-798	169	8	normal	normal	ADJ
ejpam-798	169	9	x1	x1	ADJ
ejpam-798	169	10	−0.26280	−0.26280	NOUN
ejpam-798	169	11	0.407913	0.407913	NUM
ejpam-798	169	12	0.670709	0.670709	NUM
ejpam-798	169	13	1	1	NUM
ejpam-798	169	14	(	(	PUNCT
ejpam-798	169	15	approximation	approximation	NOUN
ejpam-798	169	16	)	)	PUNCT
ejpam-798	169	17	x2	x2	NOUN
ejpam-798	169	18	−0.33317	−0.33317	NOUN
ejpam-798	169	19	0.329116	0.329116	NUM
ejpam-798	169	20	0.662283	0.662283	NUM
ejpam-798	169	21	1	1	NUM
ejpam-798	169	22	x3	x3	PROPN
ejpam-798	169	23	−0.35483	−0.35483	PROPN
ejpam-798	169	24	0.389714	0.389714	NUM
ejpam-798	169	25	0.744544	0.744544	NUM
ejpam-798	169	26	1	1	NUM
ejpam-798	169	27	figure	figure	NOUN
ejpam-798	169	28	1	1	NUM
ejpam-798	169	29	:	:	PUNCT
ejpam-798	169	30	histogram	histogram	NOUN
ejpam-798	169	31	of	of	ADP
ejpam-798	169	32	standardized	standardized	ADJ
ejpam-798	169	33	bootstrap	bootstrap	NOUN
ejpam-798	169	34	ows	ows	PROPN
ejpam-798	169	35	estimates	estimate	NOUN
ejpam-798	169	36	for	for	ADP
ejpam-798	169	37	β1	β1	PROPN
ejpam-798	169	38	.	.	PUNCT
ejpam-798	170	1	t.	t.	PROPN
ejpam-798	170	2	kim	kim	PROPN
ejpam-798	170	3	and	and	CCONJ
ejpam-798	170	4	h.	h.	PROPN
ejpam-798	170	5	white	white	PROPN
ejpam-798	170	6	/	/	SYM
ejpam-798	170	7	eur	eur	PROPN
ejpam-798	170	8	.	.	PUNCT
ejpam-798	171	1	j.	j.	PROPN
ejpam-798	171	2	pure	pure	PROPN
ejpam-798	171	3	appl	appl	PROPN
ejpam-798	171	4	.	.	PROPN
ejpam-798	171	5	math	math	PROPN
ejpam-798	171	6	,	,	PUNCT
ejpam-798	171	7	3	3	NUM
ejpam-798	171	8	(	(	PUNCT
ejpam-798	171	9	2010	2010	NUM
ejpam-798	171	10	)	)	PUNCT
ejpam-798	171	11	,	,	PUNCT
ejpam-798	171	12	371	371	NUM
ejpam-798	171	13	-	-	SYM
ejpam-798	171	14	381	381	NUM
ejpam-798	171	15	378	378	NUM
ejpam-798	171	16	figure	figure	NOUN
ejpam-798	171	17	2	2	NUM
ejpam-798	171	18	:	:	PUNCT
ejpam-798	171	19	histogram	histogram	NOUN
ejpam-798	171	20	of	of	ADP
ejpam-798	171	21	standardized	standardized	ADJ
ejpam-798	171	22	bootstrap	bootstrap	NOUN
ejpam-798	171	23	ows	ows	PROPN
ejpam-798	171	24	estimates	estimate	NOUN
ejpam-798	171	25	for	for	ADP
ejpam-798	171	26	β2	β2	PROPN
ejpam-798	171	27	.	.	PUNCT
ejpam-798	172	1	figure	figure	VERB
ejpam-798	172	2	3	3	NUM
ejpam-798	172	3	:	:	PUNCT
ejpam-798	172	4	histogram	histogram	NOUN
ejpam-798	172	5	of	of	ADP
ejpam-798	172	6	standardized	standardized	ADJ
ejpam-798	172	7	bootstrap	bootstrap	NOUN
ejpam-798	172	8	ows	ows	PROPN
ejpam-798	172	9	estimates	estimate	NOUN
ejpam-798	172	10	for	for	ADP
ejpam-798	172	11	β3	β3	PROPN
ejpam-798	172	12	.	.	PUNCT
ejpam-798	173	1	references	reference	NOUN
ejpam-798	173	2	379	379	NUM
ejpam-798	173	3	4	4	NUM
ejpam-798	173	4	.	.	PUNCT
ejpam-798	174	1	conclusion	conclusion	NOUN
ejpam-798	174	2	we	we	PRON
ejpam-798	174	3	have	have	AUX
ejpam-798	174	4	used	use	VERB
ejpam-798	174	5	results	result	NOUN
ejpam-798	174	6	of	of	ADP
ejpam-798	174	7	[	[	X
ejpam-798	174	8	18	18	NUM
ejpam-798	174	9	]	]	PUNCT
ejpam-798	174	10	to	to	PART
ejpam-798	174	11	obtain	obtain	VERB
ejpam-798	174	12	the	the	DET
ejpam-798	174	13	asymptotic	asymptotic	ADJ
ejpam-798	174	14	moments	moment	NOUN
ejpam-798	174	15	of	of	ADP
ejpam-798	174	16	the	the	DET
ejpam-798	174	17	ows	ows	PROPN
ejpam-798	174	18	estimator	estimator	NOUN
ejpam-798	174	19	shrinking	shrink	VERB
ejpam-798	174	20	to	to	ADP
ejpam-798	174	21	a	a	DET
ejpam-798	174	22	data	data	NOUN
ejpam-798	174	23	-	-	PUNCT
ejpam-798	174	24	dependent	dependent	ADJ
ejpam-798	174	25	point	point	NOUN
ejpam-798	174	26	.	.	PUNCT
ejpam-798	175	1	this	this	PRON
ejpam-798	175	2	permits	permit	VERB
ejpam-798	175	3	us	we	PRON
ejpam-798	175	4	to	to	PART
ejpam-798	175	5	use	use	VERB
ejpam-798	175	6	a	a	DET
ejpam-798	175	7	consistent	consistent	ADJ
ejpam-798	175	8	estimator	estimator	NOUN
ejpam-798	175	9	for	for	ADP
ejpam-798	175	10	the	the	DET
ejpam-798	175	11	asymptotic	asymptotic	ADJ
ejpam-798	175	12	moments	moment	NOUN
ejpam-798	175	13	to	to	PART
ejpam-798	175	14	construct	construct	VERB
ejpam-798	175	15	pivotal	pivotal	ADJ
ejpam-798	175	16	non	non	ADJ
ejpam-798	175	17	-	-	ADJ
ejpam-798	175	18	parametric	parametric	ADJ
ejpam-798	175	19	bootstrap	bootstrap	NOUN
ejpam-798	175	20	statistics	statistic	NOUN
ejpam-798	175	21	.	.	PUNCT
ejpam-798	176	1	we	we	PRON
ejpam-798	176	2	demonstrate	demonstrate	VERB
ejpam-798	176	3	their	their	PRON
ejpam-798	176	4	use	use	NOUN
ejpam-798	176	5	by	by	ADP
ejpam-798	176	6	showing	show	VERB
ejpam-798	176	7	how	how	SCONJ
ejpam-798	176	8	to	to	PART
ejpam-798	176	9	calculate	calculate	VERB
ejpam-798	176	10	bootstrap	bootstrap	NOUN
ejpam-798	176	11	standard	standard	ADJ
ejpam-798	176	12	errors	error	NOUN
ejpam-798	176	13	and	and	CCONJ
ejpam-798	176	14	confidence	confidence	NOUN
ejpam-798	176	15	intervals	interval	NOUN
ejpam-798	176	16	for	for	ADP
ejpam-798	176	17	the	the	DET
ejpam-798	176	18	ows	ows	PROPN
ejpam-798	176	19	estimator	estimator	NOUN
ejpam-798	176	20	.	.	PUNCT
ejpam-798	177	1	acknowledgements	acknowledgement	NOUN
ejpam-798	177	2	this	this	DET
ejpam-798	177	3	work	work	NOUN
ejpam-798	177	4	was	be	AUX
ejpam-798	177	5	supported	support	VERB
ejpam-798	177	6	by	by	ADP
ejpam-798	177	7	national	national	PROPN
ejpam-798	177	8	research	research	PROPN
ejpam-798	177	9	foundation	foundation	PROPN
ejpam-798	177	10	of	of	ADP
ejpam-798	177	11	korea	korea	PROPN
ejpam-798	177	12	grant	grant	PROPN
ejpam-798	177	13	funded	fund	VERB
ejpam-798	177	14	by	by	ADP
ejpam-798	177	15	the	the	DET
ejpam-798	177	16	korean	korean	ADJ
ejpam-798	177	17	government	government	NOUN
ejpam-798	177	18	(	(	PUNCT
ejpam-798	177	19	nrf-2009	nrf-2009	NOUN
ejpam-798	177	20	-	-	PUNCT
ejpam-798	177	21	327	327	NUM
ejpam-798	177	22	-	-	PUNCT
ejpam-798	177	23	b00088	b00088	NOUN
ejpam-798	177	24	)	)	PUNCT
ejpam-798	177	25	.	.	PUNCT
ejpam-798	178	1	references	reference	NOUN
ejpam-798	178	2	[	[	X
ejpam-798	178	3	1	1	NUM
ejpam-798	178	4	]	]	PUNCT
ejpam-798	178	5	babu	babu	PROPN
ejpam-798	178	6	,	,	PUNCT
ejpam-798	178	7	g.j	g.j	PROPN
ejpam-798	178	8	.	.	PROPN
ejpam-798	178	9	and	and	CCONJ
ejpam-798	178	10	singh	singh	PROPN
ejpam-798	178	11	,	,	PUNCT
ejpam-798	178	12	k.	k.	PROPN
ejpam-798	178	13	,	,	PUNCT
ejpam-798	178	14	“	"	PUNCT
ejpam-798	178	15	inference	inference	NOUN
ejpam-798	178	16	on	on	ADP
ejpam-798	178	17	means	mean	NOUN
ejpam-798	178	18	using	use	VERB
ejpam-798	178	19	the	the	DET
ejpam-798	178	20	bootstrap	bootstrap	NOUN
ejpam-798	178	21	,	,	PUNCT
ejpam-798	178	22	”	"	PUNCT
ejpam-798	178	23	annals	annals	NOUN
ejpam-798	178	24	of	of	ADP
ejpam-798	178	25	statistics	statistic	NOUN
ejpam-798	178	26	,	,	PUNCT
ejpam-798	178	27	11	11	NUM
ejpam-798	178	28	,	,	PUNCT
ejpam-798	178	29	999	999	NUM
ejpam-798	178	30	-	-	SYM
ejpam-798	178	31	1003	1003	NUM
ejpam-798	178	32	.	.	PUNCT
ejpam-798	179	1	1983	1983	NUM
ejpam-798	179	2	.	.	PUNCT
ejpam-798	180	1	[	[	X
ejpam-798	180	2	2	2	NUM
ejpam-798	180	3	]	]	PUNCT
ejpam-798	180	4	beran	beran	PROPN
ejpam-798	180	5	,	,	PUNCT
ejpam-798	180	6	r.	r.	PROPN
ejpam-798	180	7	,	,	PUNCT
ejpam-798	180	8	“	"	PUNCT
ejpam-798	180	9	prepivoting	prepivote	VERB
ejpam-798	180	10	to	to	PART
ejpam-798	180	11	reduce	reduce	VERB
ejpam-798	180	12	level	level	NOUN
ejpam-798	180	13	error	error	NOUN
ejpam-798	180	14	of	of	ADP
ejpam-798	180	15	confidence	confidence	NOUN
ejpam-798	180	16	sets	set	NOUN
ejpam-798	180	17	,	,	PUNCT
ejpam-798	180	18	”	"	PUNCT
ejpam-798	180	19	biometrika	biometrika	NOUN
ejpam-798	180	20	,	,	PUNCT
ejpam-798	180	21	74	74	NUM
ejpam-798	180	22	,	,	PUNCT
ejpam-798	180	23	457468	457468	NUM
ejpam-798	180	24	.	.	PUNCT
ejpam-798	180	25	1987	1987	NUM
ejpam-798	180	26	.	.	PUNCT
ejpam-798	181	1	[	[	X
ejpam-798	181	2	3	3	NUM
ejpam-798	181	3	]	]	X
ejpam-798	181	4	brownstone	brownstone	NOUN
ejpam-798	181	5	,	,	PUNCT
ejpam-798	181	6	d.	d.	PROPN
ejpam-798	181	7	,	,	PUNCT
ejpam-798	181	8	“	"	PUNCT
ejpam-798	181	9	bootstrapping	bootstrappe	VERB
ejpam-798	181	10	improved	improved	ADJ
ejpam-798	181	11	estimators	estimator	NOUN
ejpam-798	181	12	for	for	ADP
ejpam-798	181	13	linear	linear	ADJ
ejpam-798	181	14	regression	regression	NOUN
ejpam-798	181	15	models	model	NOUN
ejpam-798	181	16	,	,	PUNCT
ejpam-798	181	17	”	"	PUNCT
ejpam-798	181	18	journal	journal	NOUN
ejpam-798	181	19	of	of	ADP
ejpam-798	181	20	econometrics	econometric	NOUN
ejpam-798	181	21	,	,	PUNCT
ejpam-798	181	22	44	44	NUM
ejpam-798	181	23	,	,	PUNCT
ejpam-798	181	24	171	171	NUM
ejpam-798	181	25	-	-	SYM
ejpam-798	181	26	187	187	NUM
ejpam-798	181	27	.	.	PUNCT
ejpam-798	181	28	1990	1990	NUM
ejpam-798	181	29	.	.	PUNCT
ejpam-798	182	1	[	[	X
ejpam-798	182	2	4	4	NUM
ejpam-798	182	3	]	]	X
ejpam-798	182	4	efron	efron	PROPN
ejpam-798	182	5	,	,	PUNCT
ejpam-798	182	6	b.	b.	PROPN
ejpam-798	182	7	and	and	CCONJ
ejpam-798	182	8	tibshirani	tibshirani	PROPN
ejpam-798	182	9	,	,	PUNCT
ejpam-798	182	10	r.j	r.j	PROPN
ejpam-798	182	11	.	.	PROPN
ejpam-798	182	12	,	,	PUNCT
ejpam-798	182	13	an	an	DET
ejpam-798	182	14	introduction	introduction	NOUN
ejpam-798	182	15	to	to	ADP
ejpam-798	182	16	the	the	DET
ejpam-798	182	17	bootstrap	bootstrap	NOUN
ejpam-798	182	18	,	,	PUNCT
ejpam-798	182	19	chapman	chapman	PROPN
ejpam-798	182	20	&	&	CCONJ
ejpam-798	182	21	hall	hall	PROPN
ejpam-798	182	22	.	.	PUNCT
ejpam-798	183	1	1993	1993	NUM
ejpam-798	183	2	.	.	PUNCT
ejpam-798	184	1	[	[	X
ejpam-798	184	2	5	5	NUM
ejpam-798	184	3	]	]	X
ejpam-798	184	4	engle	engle	PROPN
ejpam-798	184	5	,	,	PUNCT
ejpam-798	184	6	r.	r.	PROPN
ejpam-798	184	7	and	and	CCONJ
ejpam-798	184	8	granger	granger	PROPN
ejpam-798	184	9	,	,	PUNCT
ejpam-798	184	10	c.w.j	c.w.j	NOUN
ejpam-798	184	11	.	.	PUNCT
ejpam-798	184	12	,	,	PUNCT
ejpam-798	184	13	“	"	PUNCT
ejpam-798	184	14	co	co	NOUN
ejpam-798	184	15	-	-	NOUN
ejpam-798	184	16	integration	integration	NOUN
ejpam-798	184	17	and	and	CCONJ
ejpam-798	184	18	error	error	NOUN
ejpam-798	184	19	correction	correction	NOUN
ejpam-798	184	20	:	:	PUNCT
ejpam-798	184	21	representation	representation	NOUN
ejpam-798	184	22	,	,	PUNCT
ejpam-798	184	23	estimation	estimation	NOUN
ejpam-798	184	24	,	,	PUNCT
ejpam-798	184	25	and	and	CCONJ
ejpam-798	184	26	testing	testing	NOUN
ejpam-798	184	27	,	,	PUNCT
ejpam-798	184	28	”	"	PUNCT
ejpam-798	184	29	econometrica	econometrica	PROPN
ejpam-798	184	30	,	,	PUNCT
ejpam-798	184	31	55	55	NUM
ejpam-798	184	32	,	,	PUNCT
ejpam-798	184	33	251	251	NUM
ejpam-798	184	34	-	-	SYM
ejpam-798	184	35	276	276	NUM
ejpam-798	184	36	.	.	PUNCT
ejpam-798	184	37	1987	1987	NUM
ejpam-798	184	38	.	.	PUNCT
ejpam-798	185	1	[	[	X
ejpam-798	185	2	6	6	NUM
ejpam-798	185	3	]	]	X
ejpam-798	185	4	granger	granger	NOUN
ejpam-798	185	5	,	,	PUNCT
ejpam-798	185	6	c.w.j	c.w.j	NOUN
ejpam-798	185	7	.	.	PUNCT
ejpam-798	185	8	,	,	PUNCT
ejpam-798	185	9	“	"	PUNCT
ejpam-798	185	10	co	co	ADJ
ejpam-798	185	11	-	-	ADJ
ejpam-798	185	12	integrated	integrated	ADJ
ejpam-798	185	13	variables	variable	NOUN
ejpam-798	185	14	and	and	CCONJ
ejpam-798	185	15	error	error	NOUN
ejpam-798	185	16	-	-	PUNCT
ejpam-798	185	17	correcting	correct	VERB
ejpam-798	185	18	models	model	NOUN
ejpam-798	185	19	,	,	PUNCT
ejpam-798	185	20	”	"	PUNCT
ejpam-798	185	21	discussion	discussion	NOUN
ejpam-798	185	22	paper	paper	NOUN
ejpam-798	185	23	83	83	NUM
ejpam-798	185	24	-	-	SYM
ejpam-798	185	25	13	13	NUM
ejpam-798	185	26	,	,	PUNCT
ejpam-798	185	27	university	university	NOUN
ejpam-798	185	28	of	of	ADP
ejpam-798	185	29	california	california	PROPN
ejpam-798	185	30	at	at	ADP
ejpam-798	185	31	san	san	PROPN
ejpam-798	185	32	diego	diego	PROPN
ejpam-798	185	33	.	.	PUNCT
ejpam-798	185	34	1983	1983	NUM
ejpam-798	186	1	[	[	X
ejpam-798	186	2	7	7	NUM
ejpam-798	186	3	]	]	X
ejpam-798	186	4	hahn	hahn	PROPN
ejpam-798	186	5	,	,	PUNCT
ejpam-798	186	6	j.	j.	PROPN
ejpam-798	186	7	,	,	PUNCT
ejpam-798	186	8	“	"	PUNCT
ejpam-798	186	9	bootstrapping	bootstrappe	VERB
ejpam-798	186	10	quantile	quantile	ADJ
ejpam-798	186	11	regression	regression	NOUN
ejpam-798	186	12	estimators	estimator	NOUN
ejpam-798	186	13	,	,	PUNCT
ejpam-798	186	14	”	"	PUNCT
ejpam-798	186	15	econometric	econometric	ADJ
ejpam-798	186	16	theory	theory	NOUN
ejpam-798	186	17	,	,	PUNCT
ejpam-798	186	18	11	11	NUM
ejpam-798	186	19	,	,	PUNCT
ejpam-798	186	20	105121	105121	NUM
ejpam-798	186	21	.	.	PUNCT
ejpam-798	186	22	1995	1995	NUM
ejpam-798	186	23	.	.	PUNCT
ejpam-798	187	1	[	[	X
ejpam-798	187	2	8	8	NUM
ejpam-798	187	3	]	]	X
ejpam-798	187	4	hall	hall	NOUN
ejpam-798	187	5	,	,	PUNCT
ejpam-798	187	6	p.	p.	NOUN
ejpam-798	187	7	,	,	PUNCT
ejpam-798	187	8	“	"	PUNCT
ejpam-798	187	9	on	on	ADP
ejpam-798	187	10	the	the	DET
ejpam-798	187	11	bootstrap	bootstrap	NOUN
ejpam-798	187	12	and	and	CCONJ
ejpam-798	187	13	likelihood	likelihood	NOUN
ejpam-798	187	14	-	-	PUNCT
ejpam-798	187	15	based	base	VERB
ejpam-798	187	16	confidence	confidence	NOUN
ejpam-798	187	17	regions	region	NOUN
ejpam-798	187	18	,	,	PUNCT
ejpam-798	187	19	”	"	PUNCT
ejpam-798	187	20	biometrika	biometrika	NOUN
ejpam-798	187	21	,	,	PUNCT
ejpam-798	187	22	74	74	NUM
ejpam-798	187	23	,	,	PUNCT
ejpam-798	187	24	481	481	NUM
ejpam-798	187	25	-	-	SYM
ejpam-798	187	26	493	493	NUM
ejpam-798	187	27	.	.	PUNCT
ejpam-798	187	28	1987	1987	NUM
ejpam-798	187	29	.	.	PUNCT
ejpam-798	188	1	[	[	X
ejpam-798	188	2	9	9	NUM
ejpam-798	188	3	]	]	SYM
ejpam-798	188	4	hall	hall	NOUN
ejpam-798	188	5	,	,	PUNCT
ejpam-798	188	6	p.	p.	NOUN
ejpam-798	188	7	,	,	PUNCT
ejpam-798	188	8	“	"	PUNCT
ejpam-798	188	9	theoretical	theoretical	ADJ
ejpam-798	188	10	comparison	comparison	NOUN
ejpam-798	188	11	of	of	ADP
ejpam-798	188	12	bootstrap	bootstrap	NOUN
ejpam-798	188	13	confidence	confidence	NOUN
ejpam-798	188	14	intervals	interval	NOUN
ejpam-798	188	15	,	,	PUNCT
ejpam-798	188	16	”	"	PUNCT
ejpam-798	188	17	annals	annals	NOUN
ejpam-798	188	18	of	of	ADP
ejpam-798	188	19	statistics	statistic	NOUN
ejpam-798	188	20	,	,	PUNCT
ejpam-798	188	21	16	16	NUM
ejpam-798	188	22	,	,	PUNCT
ejpam-798	188	23	927	927	NUM
ejpam-798	188	24	-	-	SYM
ejpam-798	188	25	953	953	NUM
ejpam-798	188	26	.	.	PUNCT
ejpam-798	188	27	1988	1988	NUM
ejpam-798	188	28	.	.	PUNCT
ejpam-798	189	1	[	[	X
ejpam-798	189	2	10	10	NUM
ejpam-798	189	3	]	]	X
ejpam-798	189	4	hall	hall	NOUN
ejpam-798	189	5	,	,	PUNCT
ejpam-798	189	6	p.	p.	PROPN
ejpam-798	189	7	,	,	PUNCT
ejpam-798	189	8	the	the	DET
ejpam-798	189	9	bootstrap	bootstrap	NOUN
ejpam-798	189	10	and	and	CCONJ
ejpam-798	189	11	edgeworth	edgeworth	PROPN
ejpam-798	189	12	expansion	expansion	NOUN
ejpam-798	189	13	,	,	PUNCT
ejpam-798	189	14	springer	springer	NOUN
ejpam-798	189	15	-	-	PUNCT
ejpam-798	189	16	verlag	verlag	PROPN
ejpam-798	189	17	.	.	PUNCT
ejpam-798	189	18	1992	1992	NUM
ejpam-798	189	19	.	.	PUNCT
ejpam-798	190	1	[	[	X
ejpam-798	190	2	11	11	NUM
ejpam-798	190	3	]	]	X
ejpam-798	190	4	james	james	PROPN
ejpam-798	190	5	,	,	PUNCT
ejpam-798	190	6	w.	w.	PROPN
ejpam-798	190	7	and	and	CCONJ
ejpam-798	190	8	stein	stein	PROPN
ejpam-798	190	9	c.	c.	PROPN
ejpam-798	190	10	,	,	PUNCT
ejpam-798	190	11	“	"	PUNCT
ejpam-798	190	12	estimation	estimation	NOUN
ejpam-798	190	13	with	with	ADP
ejpam-798	190	14	quadratic	quadratic	ADJ
ejpam-798	190	15	loss	loss	NOUN
ejpam-798	190	16	,	,	PUNCT
ejpam-798	190	17	”	"	PUNCT
ejpam-798	190	18	proceedings	proceeding	NOUN
ejpam-798	190	19	of	of	ADP
ejpam-798	190	20	the	the	DET
ejpam-798	190	21	fourth	fourth	PROPN
ejpam-798	190	22	berkeley	berkeley	PROPN
ejpam-798	190	23	symposium	symposium	NOUN
ejpam-798	190	24	on	on	ADP
ejpam-798	190	25	mathematical	mathematical	ADJ
ejpam-798	190	26	statistics	statistic	NOUN
ejpam-798	190	27	and	and	CCONJ
ejpam-798	190	28	probability	probability	NOUN
ejpam-798	190	29	(	(	PUNCT
ejpam-798	190	30	vol	vol	NOUN
ejpam-798	190	31	.	.	NOUN
ejpam-798	190	32	1	1	NUM
ejpam-798	190	33	)	)	PUNCT
ejpam-798	190	34	,	,	PUNCT
ejpam-798	190	35	berkeley	berkeley	PROPN
ejpam-798	190	36	,	,	PUNCT
ejpam-798	190	37	ca	ca	NOUN
ejpam-798	190	38	:	:	PUNCT
ejpam-798	190	39	university	university	PROPN
ejpam-798	190	40	of	of	ADP
ejpam-798	190	41	california	california	PROPN
ejpam-798	190	42	press	press	PROPN
ejpam-798	190	43	,	,	PUNCT
ejpam-798	190	44	pp	pp	ADP
ejpam-798	190	45	.	.	PUNCT
ejpam-798	191	1	361	361	NUM
ejpam-798	191	2	-	-	SYM
ejpam-798	191	3	379	379	NUM
ejpam-798	191	4	.	.	PUNCT
ejpam-798	192	1	1960	1960	NUM
ejpam-798	192	2	.	.	PUNCT
ejpam-798	193	1	references	reference	NOUN
ejpam-798	193	2	380	380	NUM
ejpam-798	193	3	[	[	X
ejpam-798	193	4	12	12	NUM
ejpam-798	193	5	]	]	PUNCT
ejpam-798	193	6	judge	judge	NOUN
ejpam-798	193	7	,	,	PUNCT
ejpam-798	193	8	g.	g.	PROPN
ejpam-798	193	9	and	and	CCONJ
ejpam-798	193	10	mittelhammer	mittelhammer	PROPN
ejpam-798	193	11	r.c	r.c	PROPN
ejpam-798	193	12	.	.	PROPN
ejpam-798	193	13	,	,	PUNCT
ejpam-798	193	14	“	"	PUNCT
ejpam-798	193	15	a	a	DET
ejpam-798	193	16	semi	semi	ADJ
ejpam-798	193	17	-	-	ADJ
ejpam-798	193	18	parametric	parametric	ADJ
ejpam-798	193	19	stein	stein	PROPN
ejpam-798	193	20	-	-	PUNCT
ejpam-798	193	21	like	like	ADJ
ejpam-798	193	22	basis	basis	NOUN
ejpam-798	193	23	for	for	ADP
ejpam-798	193	24	combining	combine	VERB
ejpam-798	193	25	estimators	estimator	NOUN
ejpam-798	193	26	under	under	ADP
ejpam-798	193	27	quadratic	quadratic	ADJ
ejpam-798	193	28	loss	loss	NOUN
ejpam-798	193	29	,	,	PUNCT
ejpam-798	193	30	”	"	PUNCT
ejpam-798	193	31	journal	journal	NOUN
ejpam-798	193	32	of	of	ADP
ejpam-798	193	33	the	the	DET
ejpam-798	193	34	american	american	PROPN
ejpam-798	193	35	statistical	statistical	PROPN
ejpam-798	193	36	association	association	NOUN
ejpam-798	193	37	,	,	PUNCT
ejpam-798	193	38	99	99	NUM
ejpam-798	193	39	,	,	PUNCT
ejpam-798	193	40	479	479	NUM
ejpam-798	193	41	-	-	SYM
ejpam-798	193	42	487	487	NUM
ejpam-798	193	43	.	.	PUNCT
ejpam-798	193	44	2004	2004	NUM
ejpam-798	193	45	.	.	PUNCT
ejpam-798	194	1	[	[	X
ejpam-798	194	2	13	13	NUM
ejpam-798	194	3	]	]	X
ejpam-798	194	4	kim	kim	PROPN
ejpam-798	194	5	,	,	PUNCT
ejpam-798	194	6	t.h	t.h	PROPN
ejpam-798	194	7	.	.	PROPN
ejpam-798	194	8	and	and	CCONJ
ejpam-798	194	9	white	white	PROPN
ejpam-798	194	10	h.	h.	PROPN
ejpam-798	194	11	,	,	PUNCT
ejpam-798	194	12	“	"	PUNCT
ejpam-798	194	13	james	james	PROPN
ejpam-798	194	14	-	-	PUNCT
ejpam-798	194	15	stein	stein	PROPN
ejpam-798	194	16	-	-	PUNCT
ejpam-798	194	17	type	type	NOUN
ejpam-798	194	18	estimators	estimator	NOUN
ejpam-798	194	19	in	in	ADP
ejpam-798	194	20	large	large	ADJ
ejpam-798	194	21	samples	sample	NOUN
ejpam-798	194	22	with	with	ADP
ejpam-798	194	23	application	application	NOUN
ejpam-798	194	24	to	to	ADP
ejpam-798	194	25	the	the	DET
ejpam-798	194	26	least	least	ADJ
ejpam-798	194	27	absolute	absolute	ADJ
ejpam-798	194	28	deviations	deviation	NOUN
ejpam-798	194	29	estimator	estimator	NOUN
ejpam-798	194	30	,	,	PUNCT
ejpam-798	194	31	”	"	PUNCT
ejpam-798	194	32	journal	journal	NOUN
ejpam-798	194	33	of	of	ADP
ejpam-798	194	34	the	the	DET
ejpam-798	194	35	american	american	PROPN
ejpam-798	194	36	statistical	statistical	PROPN
ejpam-798	194	37	association	association	NOUN
ejpam-798	194	38	,	,	PUNCT
ejpam-798	194	39	96	96	NUM
ejpam-798	194	40	,	,	PUNCT
ejpam-798	194	41	697	697	NUM
ejpam-798	194	42	-	-	SYM
ejpam-798	194	43	705	705	NUM
ejpam-798	194	44	.	.	PUNCT
ejpam-798	194	45	2001	2001	NUM
ejpam-798	194	46	[	[	X
ejpam-798	194	47	14	14	NUM
ejpam-798	194	48	]	]	X
ejpam-798	194	49	mittelhammer	mittelhammer	PROPN
ejpam-798	194	50	,	,	PUNCT
ejpam-798	194	51	r.c	r.c	PROPN
ejpam-798	194	52	.	.	PROPN
ejpam-798	194	53	and	and	CCONJ
ejpam-798	194	54	judge	judge	PROPN
ejpam-798	194	55	g.	g.	PROPN
ejpam-798	194	56	,	,	PUNCT
ejpam-798	194	57	“	"	PUNCT
ejpam-798	194	58	combining	combine	VERB
ejpam-798	194	59	estimators	estimator	NOUN
ejpam-798	194	60	to	to	PART
ejpam-798	194	61	improve	improve	VERB
ejpam-798	194	62	structural	structural	ADJ
ejpam-798	194	63	model	model	NOUN
ejpam-798	194	64	estimation	estimation	NOUN
ejpam-798	194	65	under	under	ADP
ejpam-798	194	66	quadratic	quadratic	ADJ
ejpam-798	194	67	loss	loss	NOUN
ejpam-798	194	68	,	,	PUNCT
ejpam-798	194	69	”	"	PUNCT
ejpam-798	194	70	journal	journal	NOUN
ejpam-798	194	71	of	of	ADP
ejpam-798	194	72	econometrics	econometric	NOUN
ejpam-798	194	73	,	,	PUNCT
ejpam-798	194	74	128	128	NUM
ejpam-798	194	75	,	,	PUNCT
ejpam-798	194	76	1	1	NUM
ejpam-798	194	77	-	-	SYM
ejpam-798	194	78	30	30	NUM
ejpam-798	194	79	.	.	PUNCT
ejpam-798	194	80	2005	2005	NUM
ejpam-798	194	81	.	.	PUNCT
ejpam-798	195	1	[	[	X
ejpam-798	195	2	15	15	NUM
ejpam-798	195	3	]	]	X
ejpam-798	195	4	saleh	saleh	NOUN
ejpam-798	195	5	,	,	PUNCT
ejpam-798	195	6	a.k.m.e	a.k.m.e	PROPN
ejpam-798	195	7	.	.	PUNCT
ejpam-798	196	1	and	and	CCONJ
ejpam-798	196	2	sen	sen	PROPN
ejpam-798	196	3	p.k	p.k	PROPN
ejpam-798	196	4	.	.	PROPN
ejpam-798	196	5	,	,	PUNCT
ejpam-798	196	6	“	"	PUNCT
ejpam-798	196	7	on	on	ADP
ejpam-798	196	8	some	some	DET
ejpam-798	196	9	shrinkage	shrinkage	NOUN
ejpam-798	196	10	estimators	estimator	NOUN
ejpam-798	196	11	of	of	ADP
ejpam-798	196	12	multivariate	multivariate	NOUN
ejpam-798	196	13	location	location	NOUN
ejpam-798	196	14	,	,	PUNCT
ejpam-798	196	15	”	"	PUNCT
ejpam-798	196	16	the	the	DET
ejpam-798	196	17	annals	annal	NOUN
ejpam-798	196	18	of	of	ADP
ejpam-798	196	19	statistics	statistic	NOUN
ejpam-798	196	20	,	,	PUNCT
ejpam-798	196	21	13	13	NUM
ejpam-798	196	22	,	,	PUNCT
ejpam-798	196	23	272	272	NUM
ejpam-798	196	24	-	-	SYM
ejpam-798	196	25	281	281	NUM
ejpam-798	196	26	.	.	PUNCT
ejpam-798	197	1	1985	1985	NUM
ejpam-798	197	2	.	.	PUNCT
ejpam-798	198	1	[	[	X
ejpam-798	198	2	16	16	NUM
ejpam-798	198	3	]	]	X
ejpam-798	198	4	sen	sen	PROPN
ejpam-798	198	5	,	,	PUNCT
ejpam-798	198	6	p.	p.	PROPN
ejpam-798	198	7	k.	k.	PROPN
ejpam-798	199	1	and	and	CCONJ
ejpam-798	199	2	saleh	saleh	PROPN
ejpam-798	199	3	a.k.m.e	a.k.m.e	PROPN
ejpam-798	199	4	.	.	PROPN
ejpam-798	199	5	,	,	PUNCT
ejpam-798	199	6	“	"	PUNCT
ejpam-798	199	7	on	on	ADP
ejpam-798	199	8	preliminary	preliminary	ADJ
ejpam-798	199	9	test	test	NOUN
ejpam-798	199	10	and	and	CCONJ
ejpam-798	199	11	shrinkage	shrinkage	VERB
ejpam-798	199	12	m	m	NOUN
ejpam-798	199	13	-	-	NOUN
ejpam-798	199	14	estimation	estimation	NOUN
ejpam-798	199	15	in	in	ADP
ejpam-798	199	16	linear	linear	PROPN
ejpam-798	199	17	models	model	NOUN
ejpam-798	199	18	,	,	PUNCT
ejpam-798	199	19	”	"	PUNCT
ejpam-798	199	20	the	the	DET
ejpam-798	199	21	annals	annal	NOUN
ejpam-798	199	22	of	of	ADP
ejpam-798	199	23	statistics	statistic	NOUN
ejpam-798	199	24	,	,	PUNCT
ejpam-798	199	25	15	15	NUM
ejpam-798	199	26	,	,	PUNCT
ejpam-798	199	27	1580	1580	NUM
ejpam-798	199	28	-	-	SYM
ejpam-798	199	29	1592	1592	NUM
ejpam-798	199	30	.	.	PUNCT
ejpam-798	200	1	1987	1987	NUM
ejpam-798	201	1	[	[	X
ejpam-798	201	2	17	17	NUM
ejpam-798	201	3	]	]	X
ejpam-798	201	4	stein	stein	PROPN
ejpam-798	201	5	,	,	PUNCT
ejpam-798	201	6	c.	c.	PROPN
ejpam-798	201	7	,	,	PUNCT
ejpam-798	201	8	“	"	PUNCT
ejpam-798	201	9	inadmissibility	inadmissibility	NOUN
ejpam-798	201	10	of	of	ADP
ejpam-798	201	11	the	the	DET
ejpam-798	201	12	usual	usual	ADJ
ejpam-798	201	13	estimator	estimator	NOUN
ejpam-798	201	14	for	for	ADP
ejpam-798	201	15	the	the	DET
ejpam-798	201	16	mean	mean	NOUN
ejpam-798	201	17	of	of	ADP
ejpam-798	201	18	a	a	DET
ejpam-798	201	19	multivariate	multivariate	NOUN
ejpam-798	201	20	distribution	distribution	NOUN
ejpam-798	201	21	,	,	PUNCT
ejpam-798	201	22	”	"	PUNCT
ejpam-798	201	23	proceedings	proceeding	NOUN
ejpam-798	201	24	of	of	ADP
ejpam-798	201	25	the	the	DET
ejpam-798	201	26	third	third	ADJ
ejpam-798	201	27	berkeley	berkeley	PROPN
ejpam-798	201	28	symposium	symposium	NOUN
ejpam-798	201	29	on	on	ADP
ejpam-798	201	30	mathematical	mathematical	ADJ
ejpam-798	201	31	statistics	statistic	NOUN
ejpam-798	201	32	and	and	CCONJ
ejpam-798	201	33	probability	probability	NOUN
ejpam-798	201	34	(	(	PUNCT
ejpam-798	201	35	vol	vol	NOUN
ejpam-798	201	36	.	.	NOUN
ejpam-798	201	37	1	1	NUM
ejpam-798	201	38	)	)	PUNCT
ejpam-798	201	39	,	,	PUNCT
ejpam-798	201	40	berkeley	berkeley	PROPN
ejpam-798	201	41	,	,	PUNCT
ejpam-798	201	42	ca	ca	NOUN
ejpam-798	201	43	:	:	PUNCT
ejpam-798	201	44	university	university	PROPN
ejpam-798	201	45	of	of	ADP
ejpam-798	201	46	california	california	PROPN
ejpam-798	201	47	press	press	PROPN
ejpam-798	201	48	,	,	PUNCT
ejpam-798	201	49	pp	pp	ADP
ejpam-798	201	50	.	.	PUNCT
ejpam-798	201	51	197	197	NUM
ejpam-798	201	52	-	-	SYM
ejpam-798	201	53	206	206	NUM
ejpam-798	201	54	.	.	PUNCT
ejpam-798	201	55	1955	1955	NUM
ejpam-798	201	56	.	.	PUNCT
ejpam-798	202	1	[	[	X
ejpam-798	202	2	18	18	NUM
ejpam-798	202	3	]	]	PUNCT
ejpam-798	202	4	ullah	ullah	PROPN
ejpam-798	202	5	,	,	PUNCT
ejpam-798	202	6	a.	a.	NOUN
ejpam-798	202	7	,	,	PUNCT
ejpam-798	202	8	“	"	PUNCT
ejpam-798	202	9	finite	finite	VERB
ejpam-798	202	10	sample	sample	NOUN
ejpam-798	202	11	econometrics	econometric	NOUN
ejpam-798	202	12	:	:	PUNCT
ejpam-798	202	13	a	a	DET
ejpam-798	202	14	unified	unified	ADJ
ejpam-798	202	15	approach	approach	NOUN
ejpam-798	202	16	,	,	PUNCT
ejpam-798	202	17	”	"	PUNCT
ejpam-798	202	18	in	in	ADP
ejpam-798	202	19	contributions	contribution	NOUN
ejpam-798	202	20	to	to	ADP
ejpam-798	202	21	econometric	econometric	ADJ
ejpam-798	202	22	theory	theory	NOUN
ejpam-798	202	23	and	and	CCONJ
ejpam-798	202	24	application	application	NOUN
ejpam-798	202	25	:	:	PUNCT
ejpam-798	202	26	essays	essay	NOUN
ejpam-798	202	27	in	in	ADP
ejpam-798	202	28	honour	honour	NOUN
ejpam-798	202	29	of	of	ADP
ejpam-798	202	30	a.l	a.l	PROPN
ejpam-798	202	31	.	.	PROPN
ejpam-798	202	32	nagar	nagar	PROPN
ejpam-798	202	33	,	,	PUNCT
ejpam-798	202	34	eds	ed	NOUN
ejpam-798	202	35	.	.	PUNCT
ejpam-798	202	36	r.a.l	r.a.l	PROPN
ejpam-798	202	37	.	.	PROPN
ejpam-798	202	38	carter	carter	PROPN
ejpam-798	202	39	,	,	PUNCT
ejpam-798	202	40	j.	j.	PROPN
ejpam-798	202	41	dutta	dutta	PROPN
ejpam-798	202	42	,	,	PUNCT
ejpam-798	202	43	and	and	CCONJ
ejpam-798	202	44	a.	a.	PROPN
ejpam-798	202	45	ullah	ullah	PROPN
ejpam-798	202	46	.	.	PUNCT
ejpam-798	203	1	new	new	PROPN
ejpam-798	203	2	york	york	PROPN
ejpam-798	203	3	:	:	PUNCT
ejpam-798	203	4	springer	springer	NOUN
ejpam-798	203	5	-	-	PUNCT
ejpam-798	203	6	verlag	verlag	PROPN
ejpam-798	203	7	,	,	PUNCT
ejpam-798	203	8	pp	pp	ADJ
ejpam-798	203	9	.	.	PUNCT
ejpam-798	204	1	242	242	NUM
ejpam-798	204	2	-	-	SYM
ejpam-798	204	3	292	292	NUM
ejpam-798	204	4	.	.	PUNCT
ejpam-798	205	1	1990	1990	NUM
ejpam-798	205	2	.	.	PUNCT
ejpam-798	206	1	[	[	X
ejpam-798	206	2	19	19	NUM
ejpam-798	206	3	]	]	X
ejpam-798	206	4	vinod	vinod	PROPN
ejpam-798	206	5	,	,	PUNCT
ejpam-798	206	6	h.d	h.d	PROPN
ejpam-798	206	7	.	.	PROPN
ejpam-798	206	8	,	,	PUNCT
ejpam-798	206	9	“	"	PUNCT
ejpam-798	206	10	double	double	ADJ
ejpam-798	206	11	bootstrap	bootstrap	NOUN
ejpam-798	206	12	for	for	ADP
ejpam-798	206	13	shrinkage	shrinkage	NOUN
ejpam-798	206	14	estimators	estimator	NOUN
ejpam-798	206	15	,	,	PUNCT
ejpam-798	206	16	”	"	PUNCT
ejpam-798	206	17	journal	journal	NOUN
ejpam-798	206	18	of	of	ADP
ejpam-798	206	19	econometrics	econometric	NOUN
ejpam-798	206	20	,	,	PUNCT
ejpam-798	206	21	68	68	NUM
ejpam-798	206	22	,	,	PUNCT
ejpam-798	206	23	287	287	NUM
ejpam-798	206	24	-	-	SYM
ejpam-798	206	25	302	302	NUM
ejpam-798	206	26	.	.	PUNCT
ejpam-798	206	27	1995	1995	NUM
ejpam-798	206	28	.	.	PUNCT
ejpam-798	207	1	[	[	X
ejpam-798	207	2	20	20	NUM
ejpam-798	207	3	]	]	PUNCT
ejpam-798	207	4	vinod	vinod	PROPN
ejpam-798	207	5	,	,	PUNCT
ejpam-798	207	6	h.d	h.d	PROPN
ejpam-798	207	7	.	.	PROPN
ejpam-798	207	8	and	and	CCONJ
ejpam-798	207	9	b.	b.	PROPN
ejpam-798	207	10	raj	raj	PROPN
ejpam-798	207	11	,	,	PUNCT
ejpam-798	207	12	“	"	PUNCT
ejpam-798	207	13	economic	economic	ADJ
ejpam-798	207	14	issues	issue	NOUN
ejpam-798	207	15	in	in	ADP
ejpam-798	207	16	bell	bell	NOUN
ejpam-798	207	17	system	system	NOUN
ejpam-798	207	18	divesture	divesture	NOUN
ejpam-798	207	19	:	:	PUNCT
ejpam-798	207	20	a	a	DET
ejpam-798	207	21	bootstrap	bootstrap	NOUN
ejpam-798	207	22	application	application	NOUN
ejpam-798	207	23	,	,	PUNCT
ejpam-798	207	24	”	"	PUNCT
ejpam-798	207	25	applied	apply	VERB
ejpam-798	207	26	statistics	statistic	NOUN
ejpam-798	207	27	,	,	PUNCT
ejpam-798	207	28	37	37	NUM
ejpam-798	207	29	,	,	PUNCT
ejpam-798	207	30	251	251	NUM
ejpam-798	207	31	-	-	SYM
ejpam-798	207	32	261	261	NUM
ejpam-798	207	33	.	.	NOUN
ejpam-798	207	34	1988	1988	NUM
ejpam-798	207	35	.	.	PUNCT
ejpam-798	208	1	appendix	appendix	ADJ
ejpam-798	208	2	proof	proof	NOUN
ejpam-798	208	3	.	.	PUNCT
ejpam-798	209	1	(	(	PUNCT
ejpam-798	209	2	theorem	theorem	NOUN
ejpam-798	209	3	1	1	NUM
ejpam-798	209	4	)	)	PUNCT
ejpam-798	209	5	let	let	VERB
ejpam-798	209	6	f	f	PROPN
ejpam-798	209	7	(	(	PUNCT
ejpam-798	209	8	z	z	PROPN
ejpam-798	209	9	)	)	PUNCT
ejpam-798	209	10	≡	≡	PROPN
ejpam-798	209	11	m	m	PROPN
ejpam-798	209	12	z	z	NOUN
ejpam-798	209	13	and	and	CCONJ
ejpam-798	209	14	g(z	g(z	PROPN
ejpam-798	209	15	)	)	PUNCT
ejpam-798	209	16	≡	≡	PROPN
ejpam-798	209	17	λ2m2z	λ2m2z	PUNCT
ejpam-798	209	18	/	/	SYM
ejpam-798	209	19	z	z	NOUN
ejpam-798	209	20	′m1z	′m1z	NOUN
ejpam-798	209	21	.	.	PUNCT
ejpam-798	210	1	let	let	VERB
ejpam-798	210	2	fi(z	fi(z	NOUN
ejpam-798	210	3	)	)	PUNCT
ejpam-798	210	4	and	and	CCONJ
ejpam-798	210	5	gi(z	gi(z	NOUN
ejpam-798	210	6	)	)	PUNCT
ejpam-798	210	7	be	be	VERB
ejpam-798	210	8	the	the	DET
ejpam-798	210	9	ith	ith	ADJ
ejpam-798	210	10	elements	element	NOUN
ejpam-798	210	11	of	of	ADP
ejpam-798	210	12	f	f	PROPN
ejpam-798	210	13	(	(	PUNCT
ejpam-798	210	14	z	z	NOUN
ejpam-798	210	15	)	)	PUNCT
ejpam-798	210	16	and	and	CCONJ
ejpam-798	210	17	g(z	g(z	PROPN
ejpam-798	210	18	)	)	PUNCT
ejpam-798	210	19	respectively	respectively	ADV
ejpam-798	210	20	.	.	PUNCT
ejpam-798	211	1	then	then	ADV
ejpam-798	211	2	hi(z	hi(z	X
ejpam-798	211	3	)	)	PUNCT
ejpam-798	211	4	=	=	PRON
ejpam-798	211	5	fi(z)−	fi(z)−	VERB
ejpam-798	211	6	gi(z	gi(z	NOUN
ejpam-798	211	7	)	)	PUNCT
ejpam-798	211	8	.	.	PUNCT
ejpam-798	212	1	first	first	ADV
ejpam-798	212	2	,	,	PUNCT
ejpam-798	212	3	we	we	PRON
ejpam-798	212	4	note	note	VERB
ejpam-798	212	5	that	that	SCONJ
ejpam-798	212	6	e	e	NOUN
ejpam-798	212	7	(	(	PUNCT
ejpam-798	212	8	fi(z	fi(z	NOUN
ejpam-798	212	9	)	)	PUNCT
ejpam-798	212	10	)	)	PUNCT
ejpam-798	213	1	=	=	PUNCT
ejpam-798	213	2	e(mi	e(mi	NUM
ejpam-798	213	3	z	z	NOUN
ejpam-798	213	4	)	)	PUNCT
ejpam-798	213	5	=	=	SYM
ejpam-798	213	6	mi	mi	PROPN
ejpam-798	213	7	e(z	e(z	PROPN
ejpam-798	213	8	)	)	PUNCT
ejpam-798	213	9	=	=	SYM
ejpam-798	213	10	0	0	NUM
ejpam-798	213	11	where	where	SCONJ
ejpam-798	213	12	mi	mi	PROPN
ejpam-798	213	13	is	be	AUX
ejpam-798	213	14	the	the	DET
ejpam-798	213	15	ith	ith	PROPN
ejpam-798	213	16	row	row	NOUN
ejpam-798	213	17	of	of	ADP
ejpam-798	213	18	m	m	PRON
ejpam-798	213	19	.	.	PUNCT
ejpam-798	214	1	by	by	ADP
ejpam-798	214	2	defining	define	VERB
ejpam-798	214	3	g1i(z	g1i(z	NOUN
ejpam-798	214	4	)	)	PUNCT
ejpam-798	214	5	≡	≡	PROPN
ejpam-798	214	6	m2i	m2i	PROPN
ejpam-798	214	7	z	z	NOUN
ejpam-798	214	8	and	and	CCONJ
ejpam-798	214	9	g2i(z	g2i(z	PROPN
ejpam-798	214	10	)	)	PUNCT
ejpam-798	214	11	≡	≡	PROPN
ejpam-798	214	12	λ2	λ2	PROPN
ejpam-798	214	13	/	/	SYM
ejpam-798	214	14	z	z	NOUN
ejpam-798	214	15	′m1z	′m1z	NOUN
ejpam-798	214	16	,	,	PUNCT
ejpam-798	214	17	we	we	PRON
ejpam-798	214	18	have	have	VERB
ejpam-798	214	19	that	that	DET
ejpam-798	214	20	gi(z	gi(z	NOUN
ejpam-798	214	21	)	)	PUNCT
ejpam-798	214	22	=	=	SYM
ejpam-798	214	23	g1i(z)g2i(z	g1i(z)g2i(z	PROPN
ejpam-798	214	24	)	)	PUNCT
ejpam-798	214	25	.	.	PUNCT
ejpam-798	215	1	by	by	ADP
ejpam-798	215	2	definition	definition	NOUN
ejpam-798	215	3	,	,	PUNCT
ejpam-798	215	4	g1i(d	g1i(d	PROPN
ejpam-798	215	5	)	)	PUNCT
ejpam-798	215	6	=	=	PUNCT
ejpam-798	216	1	m2id	m2id	NOUN
ejpam-798	216	2	=	=	SYM
ejpam-798	216	3	m2i	m2i	PROPN
ejpam-798	216	4	h	h	PROPN
ejpam-798	216	5	µ+	µ+	X
ejpam-798	216	6	∂	∂	NUM
ejpam-798	216	7	∂	∂	NUM
ejpam-798	216	8	µ	µ	NOUN
ejpam-798	216	9	i	i	PRON
ejpam-798	216	10	where	where	SCONJ
ejpam-798	216	11	m2i	m2i	PROPN
ejpam-798	216	12	is	be	AUX
ejpam-798	216	13	the	the	DET
ejpam-798	216	14	ith	ith	PROPN
ejpam-798	216	15	row	row	NOUN
ejpam-798	216	16	of	of	ADP
ejpam-798	216	17	m2	m2	PROPN
ejpam-798	216	18	;	;	PUNCT
ejpam-798	216	19	and	and	CCONJ
ejpam-798	216	20	it	it	PRON
ejpam-798	216	21	can	can	AUX
ejpam-798	216	22	be	be	AUX
ejpam-798	216	23	shown	show	VERB
ejpam-798	216	24	that	that	SCONJ
ejpam-798	216	25	e(g2i(z	e(g2i(z	NOUN
ejpam-798	216	26	)	)	PUNCT
ejpam-798	216	27	)	)	PUNCT
ejpam-798	217	1	=	=	SYM
ejpam-798	217	2	λ2γ(1	λ2γ(1	ADJ
ejpam-798	217	3	)	)	PUNCT
ejpam-798	217	4	−1	−1	NOUN
ejpam-798	217	5	∞∫	∞∫	PROPN
ejpam-798	217	6	0	0	NUM
ejpam-798	217	7	�	�	PROPN
ejpam-798	217	8	�	�	PROPN
ejpam-798	217	9	n0	n0	PROPN
ejpam-798	217	10	t	t	PROPN
ejpam-798	217	11	�	�	PROPN
ejpam-798	217	12	�	�	PROPN
ejpam-798	217	13	−1/2	−1/2	VERB
ejpam-798	217	14	exp(−1/2µ′n1tµ	exp(−1/2µ′n1tµ	NOUN
ejpam-798	217	15	)	)	PUNCT
ejpam-798	217	16	d	d	PROPN
ejpam-798	217	17	t	t	PROPN
ejpam-798	217	18	where	where	SCONJ
ejpam-798	217	19	n0	n0	PROPN
ejpam-798	217	20	t	t	PROPN
ejpam-798	217	21	≡	≡	PROPN
ejpam-798	217	22	i	i	PRON
ejpam-798	217	23	+	+	CCONJ
ejpam-798	217	24	2tm1	2tm1	NUM
ejpam-798	217	25	,	,	PUNCT
ejpam-798	217	26	n1	n1	PROPN
ejpam-798	217	27	t	t	PROPN
ejpam-798	217	28	≡	≡	PROPN
ejpam-798	217	29	2tm1n−1	2tm1n−1	PROPN
ejpam-798	217	30	0	0	NUM
ejpam-798	217	31	t	t	NOUN
ejpam-798	217	32	,	,	PUNCT
ejpam-798	217	33	and	and	CCONJ
ejpam-798	217	34	γ	γ	X
ejpam-798	217	35	is	be	AUX
ejpam-798	217	36	the	the	DET
ejpam-798	217	37	gamma	gamma	PROPN
ejpam-798	217	38	function	function	NOUN
ejpam-798	217	39	.	.	PUNCT
ejpam-798	218	1	we	we	PRON
ejpam-798	218	2	define	define	VERB
ejpam-798	218	3	w	w	PROPN
ejpam-798	218	4	(	(	PUNCT
ejpam-798	218	5	µ)≡	µ)≡	PROPN
ejpam-798	218	6	γ(1)−1	γ(1)−1	PROPN
ejpam-798	218	7	∞∫	∞∫	PROPN
ejpam-798	218	8	0	0	NUM
ejpam-798	218	9	�	�	PROPN
ejpam-798	218	10	�	�	PROPN
ejpam-798	218	11	n0	n0	PROPN
ejpam-798	218	12	t	t	PROPN
ejpam-798	218	13	�	�	PROPN
ejpam-798	218	14	�	�	PROPN
ejpam-798	218	15	−1/2	−1/2	VERB
ejpam-798	218	16	exp(−1/2µ′n1tµ	exp(−1/2µ′n1tµ	NOUN
ejpam-798	218	17	)	)	PUNCT
ejpam-798	218	18	d	d	PROPN
ejpam-798	218	19	t.	t.	PROPN
ejpam-798	218	20	therefore	therefore	ADV
ejpam-798	218	21	,	,	PUNCT
ejpam-798	218	22	using	use	VERB
ejpam-798	218	23	lemmas	lemmas	PROPN
ejpam-798	218	24	1	1	NUM
ejpam-798	218	25	and	and	CCONJ
ejpam-798	218	26	2	2	NUM
ejpam-798	218	27	of	of	ADP
ejpam-798	218	28	[	[	X
ejpam-798	218	29	18	18	NUM
ejpam-798	218	30	]	]	PUNCT
ejpam-798	218	31	,	,	PUNCT
ejpam-798	218	32	we	we	PRON
ejpam-798	218	33	have	have	VERB
ejpam-798	218	34	that	that	PRON
ejpam-798	218	35	e(gi(z	e(gi(z	PROPN
ejpam-798	218	36	)	)	PUNCT
ejpam-798	218	37	)	)	PUNCT
ejpam-798	219	1	=	=	SYM
ejpam-798	219	2	e(g1i(z)g2i(z	e(g1i(z)g2i(z	NOUN
ejpam-798	219	3	)	)	PUNCT
ejpam-798	219	4	)	)	PUNCT
ejpam-798	220	1	=	=	PUNCT
ejpam-798	221	1	g1i	g1i	VERB
ejpam-798	221	2	(	(	PUNCT
ejpam-798	221	3	d)e(g2i(z	d)e(g2i(z	NOUN
ejpam-798	221	4	)	)	PUNCT
ejpam-798	221	5	)	)	PUNCT
ejpam-798	222	1	=	=	PRON
ejpam-798	222	2	references	reference	VERB
ejpam-798	222	3	381	381	NUM
ejpam-798	222	4	m2i	m2i	PROPN
ejpam-798	222	5	h	h	PROPN
ejpam-798	222	6	µ+	µ+	X
ejpam-798	222	7	∂	∂	NUM
ejpam-798	222	8	∂	∂	NUM
ejpam-798	222	9	µ	µ	NOUN
ejpam-798	223	1	i	i	PRON
ejpam-798	223	2	λ2w	λ2w	PROPN
ejpam-798	223	3	(	(	PUNCT
ejpam-798	223	4	µ)|µ=0	µ)|µ=0	ADJ
ejpam-798	223	5	=	=	SYM
ejpam-798	223	6	0	0	NUM
ejpam-798	223	7	.	.	PUNCT
ejpam-798	224	1	finally	finally	ADV
ejpam-798	224	2	,	,	PUNCT
ejpam-798	224	3	we	we	PRON
ejpam-798	224	4	note	note	VERB
ejpam-798	224	5	that	that	SCONJ
ejpam-798	224	6	∂	∂	NOUN
ejpam-798	224	7	∂	∂	NUM
ejpam-798	224	8	µ	µ	PROPN
ejpam-798	224	9	w	w	PROPN
ejpam-798	224	10	(	(	PUNCT
ejpam-798	224	11	µ)|µ=0	µ)|µ=0	ADJ
ejpam-798	224	12	=	=	SYM
ejpam-798	224	13	γ(1	γ(1	PROPN
ejpam-798	224	14	)	)	PUNCT
ejpam-798	224	15	−1	−1	NOUN
ejpam-798	224	16	∞∫	∞∫	PROPN
ejpam-798	224	17	0	0	NUM
ejpam-798	224	18	�	�	PROPN
ejpam-798	224	19	�	�	PROPN
ejpam-798	224	20	n0	n0	PROPN
ejpam-798	224	21	t	t	PROPN
ejpam-798	224	22	�	�	PROPN
ejpam-798	224	23	�	�	PROPN
ejpam-798	224	24	−1/2	−1/2	VERB
ejpam-798	224	25	exp(−1/2µ′n1tµ)(−n1tµ	exp(−1/2µ′n1tµ)(−n1tµ	NOUN
ejpam-798	224	26	)	)	PUNCT
ejpam-798	224	27	d	d	PROPN
ejpam-798	224	28	t	t	PROPN
ejpam-798	224	29	|µ=0	|µ=0	PROPN
ejpam-798	224	30	=	=	SYM
ejpam-798	224	31	0	0	NUM
ejpam-798	224	32	.	.	PUNCT
ejpam-798	225	1	hence	hence	ADV
ejpam-798	225	2	,	,	PUNCT
ejpam-798	225	3	we	we	PRON
ejpam-798	225	4	have	have	VERB
ejpam-798	225	5	the	the	DET
ejpam-798	225	6	desired	desire	VERB
ejpam-798	225	7	result	result	NOUN
ejpam-798	225	8	:	:	PUNCT
ejpam-798	225	9	e(hi(z	e(hi(z	NOUN
ejpam-798	225	10	)	)	PUNCT
ejpam-798	225	11	)	)	PUNCT
ejpam-798	226	1	=	=	PUNCT
ejpam-798	226	2	0	0	X
ejpam-798	226	3	.	.	PUNCT
ejpam-798	227	1	proof	proof	NOUN
ejpam-798	227	2	.	.	PUNCT
ejpam-798	228	1	(	(	PUNCT
ejpam-798	228	2	theorem	theorem	NOUN
ejpam-798	228	3	2	2	NUM
ejpam-798	228	4	)	)	PUNCT
ejpam-798	228	5	we	we	PRON
ejpam-798	228	6	first	first	ADV
ejpam-798	228	7	note	note	VERB
ejpam-798	228	8	the	the	DET
ejpam-798	228	9	following	follow	VERB
ejpam-798	228	10	:	:	PUNCT
ejpam-798	229	1	h(z)h(z)′	h(z)h(z)′	PROPN
ejpam-798	229	2	=	=	SYM
ejpam-798	229	3	f	f	PROPN
ejpam-798	229	4	(	(	PUNCT
ejpam-798	229	5	z	z	NOUN
ejpam-798	229	6	)	)	PUNCT
ejpam-798	229	7	f	f	NOUN
ejpam-798	229	8	(	(	PUNCT
ejpam-798	229	9	z)′−	z)′−	PROPN
ejpam-798	229	10	f	f	PROPN
ejpam-798	229	11	(	(	PUNCT
ejpam-798	229	12	z)g(z)′−	z)g(z)′−	X
ejpam-798	229	13	g(z	g(z	ADJ
ejpam-798	229	14	)	)	PUNCT
ejpam-798	229	15	f	f	PROPN
ejpam-798	229	16	(	(	PUNCT
ejpam-798	229	17	z)′+	z)′+	X
ejpam-798	229	18	g(z)g(z)′.	g(z)g(z)′.	VERB
ejpam-798	229	19	the	the	DET
ejpam-798	229	20	expected	expect	VERB
ejpam-798	229	21	value	value	NOUN
ejpam-798	229	22	of	of	ADP
ejpam-798	229	23	the	the	DET
ejpam-798	229	24	first	first	ADJ
ejpam-798	229	25	term	term	NOUN
ejpam-798	229	26	is	be	AUX
ejpam-798	229	27	e	e	NOUN
ejpam-798	229	28	(	(	PUNCT
ejpam-798	229	29	f	f	X
ejpam-798	229	30	(	(	PUNCT
ejpam-798	229	31	z	z	NOUN
ejpam-798	229	32	)	)	PUNCT
ejpam-798	229	33	f	f	PROPN
ejpam-798	229	34	(	(	PUNCT
ejpam-798	229	35	z)′	z)′	NOUN
ejpam-798	229	36	)	)	PUNCT
ejpam-798	229	37	=	=	SYM
ejpam-798	230	1	e(m	e(m	ADJ
ejpam-798	230	2	z	z	PROPN
ejpam-798	230	3	z	z	X
ejpam-798	230	4	′m	′m	PROPN
ejpam-798	230	5	′	′	NUM
ejpam-798	230	6	)	)	PUNCT
ejpam-798	231	1	=	=	PUNCT
ejpam-798	232	1	m	m	VERB
ejpam-798	232	2	e(z	e(z	NOUN
ejpam-798	232	3	z	z	NOUN
ejpam-798	232	4	′)m	′)m	NOUN
ejpam-798	232	5	′	′	NUM
ejpam-798	233	1	=	=	PUNCT
ejpam-798	233	2	m	m	VERB
ejpam-798	233	3	m	m	VERB
ejpam-798	233	4	′.	′.	NOUN
ejpam-798	233	5	hence	hence	ADV
ejpam-798	233	6	ai	ai	VERB
ejpam-798	233	7	j	j	PROPN
ejpam-798	233	8	is	be	AUX
ejpam-798	233	9	the	the	DET
ejpam-798	233	10	(	(	PUNCT
ejpam-798	233	11	i	i	NOUN
ejpam-798	233	12	,	,	PUNCT
ejpam-798	233	13	j)th	j)th	PROPN
ejpam-798	233	14	element	element	NOUN
ejpam-798	233	15	of	of	ADP
ejpam-798	233	16	m	m	PROPN
ejpam-798	233	17	m	m	NOUN
ejpam-798	233	18	′.	′.	NOUN
ejpam-798	233	19	the	the	DET
ejpam-798	233	20	second	second	ADJ
ejpam-798	233	21	term	term	NOUN
ejpam-798	233	22	is	be	AUX
ejpam-798	233	23	given	give	VERB
ejpam-798	233	24	by	by	ADP
ejpam-798	233	25	e	e	PROPN
ejpam-798	233	26	(	(	PUNCT
ejpam-798	233	27	f	f	X
ejpam-798	233	28	(	(	PUNCT
ejpam-798	233	29	z)g(z)′	z)g(z)′	NOUN
ejpam-798	233	30	)	)	PUNCT
ejpam-798	234	1	=	=	SYM
ejpam-798	234	2	e(m	e(m	ADJ
ejpam-798	234	3	z	z	NOUN
ejpam-798	234	4	h	h	NOUN
ejpam-798	234	5	λ2m2z	λ2m2z	PUNCT
ejpam-798	234	6	z	z	NOUN
ejpam-798	234	7	′m1z	′m1z	NOUN
ejpam-798	234	8	i′	i′	NOUN
ejpam-798	234	9	)	)	PUNCT
ejpam-798	235	1	=	=	PUNCT
ejpam-798	235	2	λ2e	λ2e	PUNCT
ejpam-798	236	1	h	h	PROPN
ejpam-798	236	2	m	m	VERB
ejpam-798	236	3	zz	zz	PROPN
ejpam-798	236	4	′m	′m	PROPN
ejpam-798	236	5	′2	′2	PROPN
ejpam-798	236	6	z	z	X
ejpam-798	236	7	′m1	′m1	NOUN
ejpam-798	236	8	z	z	NOUN
ejpam-798	237	1	i	i	PRON
ejpam-798	237	2	=	=	SYM
ejpam-798	237	3	λ2	λ2	PROPN
ejpam-798	237	4	m	m	PROPN
ejpam-798	237	5	e	e	NOUN
ejpam-798	237	6	h	h	NOUN
ejpam-798	237	7	zz	zz	NOUN
ejpam-798	238	1	′	′	NUM
ejpam-798	238	2	z	z	NOUN
ejpam-798	238	3	′m1z	′m1z	NOUN
ejpam-798	238	4	i	i	PRON
ejpam-798	238	5	m	m	VERB
ejpam-798	238	6	′2	′2	NOUN
ejpam-798	238	7	.	.	PUNCT
ejpam-798	239	1	let	let	VERB
ejpam-798	239	2	eab	eab	NOUN
ejpam-798	239	3	be	be	AUX
ejpam-798	239	4	the	the	DET
ejpam-798	239	5	(	(	PUNCT
ejpam-798	239	6	a	a	PROPN
ejpam-798	239	7	,	,	PUNCT
ejpam-798	239	8	b	b	NOUN
ejpam-798	239	9	)	)	PUNCT
ejpam-798	239	10	element	element	NOUN
ejpam-798	239	11	of	of	ADP
ejpam-798	239	12	e	e	PROPN
ejpam-798	239	13	h	h	NOUN
ejpam-798	239	14	zz	zz	PROPN
ejpam-798	240	1	′	′	NUM
ejpam-798	240	2	z	z	NOUN
ejpam-798	240	3	′m1z	′m1z	NOUN
ejpam-798	241	1	i	i	PRON
ejpam-798	241	2	.	.	PUNCT
ejpam-798	242	1	then	then	ADV
ejpam-798	242	2	eab	eab	NOUN
ejpam-798	242	3	can	can	AUX
ejpam-798	242	4	be	be	AUX
ejpam-798	242	5	computed	compute	VERB
ejpam-798	242	6	using	use	VERB
ejpam-798	242	7	ullah	ullah	PROPN
ejpam-798	242	8	’s	’s	PART
ejpam-798	242	9	lemmas	lemmas	PROPN
ejpam-798	242	10	as	as	SCONJ
ejpam-798	242	11	follows	follow	VERB
ejpam-798	242	12	:	:	PUNCT
ejpam-798	242	13	eab	eab	NOUN
ejpam-798	242	14	=	=	SYM
ejpam-798	242	15	e	e	X
ejpam-798	242	16	�	�	PROPN
ejpam-798	242	17	z	z	NOUN
ejpam-798	242	18	′	′	NUM
ejpam-798	242	19	iabz	iabz	VERB
ejpam-798	242	20	z	z	VERB
ejpam-798	242	21	′m1z	′m1z	NOUN
ejpam-798	242	22	�	�	X
ejpam-798	242	23	=	=	SYM
ejpam-798	242	24	γ(1)−1	γ(1)−1	PROPN
ejpam-798	242	25	∞∫	∞∫	PROPN
ejpam-798	242	26	0	0	NUM
ejpam-798	242	27	�	�	PROPN
ejpam-798	242	28	�	�	PROPN
ejpam-798	242	29	n0	n0	PROPN
ejpam-798	242	30	t	t	PROPN
ejpam-798	242	31	�	�	PROPN
ejpam-798	242	32	�	�	PROPN
ejpam-798	242	33	−1/2	−1/2	ADJ
ejpam-798	242	34	(	(	PUNCT
ejpam-798	242	35	tr(iabn−1	tr(iabn−1	NOUN
ejpam-798	242	36	0	0	NUM
ejpam-798	242	37	t	t	NOUN
ejpam-798	242	38	)	)	PUNCT
ejpam-798	243	1	+	+	NOUN
ejpam-798	243	2	µ	µ	X
ejpam-798	243	3	′n2tµ	′n2tµ	NOUN
ejpam-798	243	4	)	)	PUNCT
ejpam-798	243	5	exp(−.5	exp(−.5	PUNCT
ejpam-798	243	6	µ′n1tµ	µ′n1tµ	PRON
ejpam-798	243	7	)	)	PUNCT
ejpam-798	243	8	d	d	PROPN
ejpam-798	243	9	t	t	PROPN
ejpam-798	243	10	|µ=0	|µ=0	PROPN
ejpam-798	243	11	=	=	SYM
ejpam-798	243	12	γ(1)−1	γ(1)−1	NOUN
ejpam-798	243	13	∞∫	∞∫	PROPN
ejpam-798	243	14	0	0	NUM
ejpam-798	243	15	�	�	PROPN
ejpam-798	243	16	�	�	PROPN
ejpam-798	243	17	n0	n0	PROPN
ejpam-798	243	18	t	t	PROPN
ejpam-798	243	19	�	�	PROPN
ejpam-798	243	20	�	�	PROPN
ejpam-798	243	21	−1/2	−1/2	ADJ
ejpam-798	243	22	(	(	PUNCT
ejpam-798	243	23	tr(iabn−1	tr(iabn−1	NOUN
ejpam-798	243	24	0	0	NUM
ejpam-798	243	25	t	t	NOUN
ejpam-798	243	26	)	)	PUNCT
ejpam-798	244	1	d	d	PROPN
ejpam-798	244	2	t	t	PROPN
ejpam-798	244	3	,	,	PUNCT
ejpam-798	244	4	where	where	SCONJ
ejpam-798	244	5	iab	iab	PROPN
ejpam-798	244	6	is	be	AUX
ejpam-798	244	7	defined	define	VERB
ejpam-798	244	8	as	as	ADP
ejpam-798	244	9	before	before	ADV
ejpam-798	244	10	and	and	CCONJ
ejpam-798	244	11	where	where	SCONJ
ejpam-798	244	12	n2	n2	PROPN
ejpam-798	244	13	t	t	PROPN
ejpam-798	244	14	=	=	SYM
ejpam-798	244	15	n−1	n−1	PROPN
ejpam-798	244	16	0	0	NUM
ejpam-798	244	17	t	t	NOUN
ejpam-798	244	18	iabn−1	iabn−1	PROPN
ejpam-798	244	19	0	0	NUM
ejpam-798	244	20	t	t	NOUN
ejpam-798	244	21	.	.	PUNCT
ejpam-798	245	1	hence	hence	ADV
ejpam-798	245	2	,	,	PUNCT
ejpam-798	245	3	the	the	DET
ejpam-798	245	4	(	(	PUNCT
ejpam-798	245	5	i	i	NOUN
ejpam-798	245	6	,	,	PUNCT
ejpam-798	245	7	j)th	j)th	PROPN
ejpam-798	245	8	element	element	NOUN
ejpam-798	245	9	of	of	ADP
ejpam-798	245	10	e	e	PROPN
ejpam-798	245	11	(	(	PUNCT
ejpam-798	245	12	f	f	PROPN
ejpam-798	245	13	(	(	PUNCT
ejpam-798	245	14	z)g(z)′	z)g(z)′	PROPN
ejpam-798	245	15	)	)	PUNCT
ejpam-798	245	16	is	be	AUX
ejpam-798	245	17	given	give	VERB
ejpam-798	245	18	by	by	ADP
ejpam-798	245	19	bi	bi	PROPN
ejpam-798	245	20	j	j	PROPN
ejpam-798	245	21	=	=	SYM
ejpam-798	245	22	λ2	λ2	PROPN
ejpam-798	245	23	∑2k	∑2k	PUNCT
ejpam-798	245	24	a=1	a=1	X
ejpam-798	245	25	∑2k	∑2k	PROPN
ejpam-798	245	26	b=1	b=1	ADJ
ejpam-798	245	27	miaebam2	miaebam2	NOUN
ejpam-798	245	28	j	j	PROPN
ejpam-798	245	29	b.	b.	PROPN
ejpam-798	245	30	by	by	ADP
ejpam-798	245	31	symmetry	symmetry	PROPN
ejpam-798	245	32	,	,	PUNCT
ejpam-798	245	33	the	the	DET
ejpam-798	245	34	(	(	PUNCT
ejpam-798	245	35	i	i	NOUN
ejpam-798	245	36	,	,	PUNCT
ejpam-798	245	37	j)th	j)th	PROPN
ejpam-798	245	38	element	element	NOUN
ejpam-798	245	39	of	of	ADP
ejpam-798	245	40	f	f	PROPN
ejpam-798	245	41	(	(	PUNCT
ejpam-798	245	42	z)g(z)′	z)g(z)′	PROPN
ejpam-798	245	43	is	be	AUX
ejpam-798	245	44	equal	equal	ADJ
ejpam-798	245	45	to	to	ADP
ejpam-798	245	46	the	the	DET
ejpam-798	245	47	(	(	PUNCT
ejpam-798	245	48	i	i	NOUN
ejpam-798	245	49	,	,	PUNCT
ejpam-798	245	50	j)th	j)th	PROPN
ejpam-798	245	51	element	element	NOUN
ejpam-798	245	52	of	of	ADP
ejpam-798	245	53	e(g(z	e(g(z	PROPN
ejpam-798	245	54	)	)	PUNCT
ejpam-798	245	55	f	f	PROPN
ejpam-798	245	56	(	(	PUNCT
ejpam-798	245	57	z)′	z)′	NOUN
ejpam-798	245	58	)	)	PUNCT
ejpam-798	245	59	.	.	PUNCT
ejpam-798	246	1	hence	hence	ADV
ejpam-798	246	2	,	,	PUNCT
ejpam-798	246	3	ci	ci	PROPN
ejpam-798	246	4	j	j	PROPN
ejpam-798	246	5	=	=	PROPN
ejpam-798	246	6	g	g	PROPN
ejpam-798	246	7	ji	ji	PROPN
ejpam-798	246	8	.	.	PUNCT
ejpam-798	247	1	the	the	DET
ejpam-798	247	2	expected	expect	VERB
ejpam-798	247	3	value	value	NOUN
ejpam-798	247	4	of	of	ADP
ejpam-798	247	5	the	the	DET
ejpam-798	247	6	last	last	ADJ
ejpam-798	247	7	term	term	NOUN
ejpam-798	247	8	is	be	AUX
ejpam-798	247	9	e(g(z)g(z)′	e(g(z)g(z)′	PROPN
ejpam-798	247	10	)	)	PUNCT
ejpam-798	247	11	=	=	SYM
ejpam-798	247	12	e	e	X
ejpam-798	247	13	�	�	PROPN
ejpam-798	247	14	h	h	PROPN
ejpam-798	247	15	λ2	λ2	PROPN
ejpam-798	247	16	m2z	m2z	PROPN
ejpam-798	247	17	z	z	NOUN
ejpam-798	247	18	′m1z	′m1z	NOUN
ejpam-798	247	19	ih	ih	NOUN
ejpam-798	247	20	λ2m2	λ2m2	ADP
ejpam-798	247	21	z	z	NOUN
ejpam-798	247	22	z	z	NOUN
ejpam-798	247	23	′m1z	′m1z	NOUN
ejpam-798	247	24	i′	i′	NOUN
ejpam-798	247	25	�	�	NOUN
ejpam-798	247	26	=	=	SYM
ejpam-798	247	27	λ2	λ2	PROPN
ejpam-798	247	28	2e	2e	NOUN
ejpam-798	247	29	h	h	NOUN
ejpam-798	247	30	zz	zz	NOUN
ejpam-798	248	1	′	′	NUM
ejpam-798	248	2	(	(	PUNCT
ejpam-798	248	3	z	z	NOUN
ejpam-798	248	4	′m1	′m1	NOUN
ejpam-798	248	5	z)2	z)2	PROPN
ejpam-798	248	6	i	i	PRON
ejpam-798	248	7	.	.	PUNCT
ejpam-798	249	1	let	let	VERB
ejpam-798	249	2	fab	fab	NOUN
ejpam-798	249	3	be	be	AUX
ejpam-798	249	4	the	the	DET
ejpam-798	249	5	(	(	PUNCT
ejpam-798	249	6	a	a	PROPN
ejpam-798	249	7	,	,	PUNCT
ejpam-798	249	8	b	b	NOUN
ejpam-798	249	9	)	)	PUNCT
ejpam-798	249	10	element	element	NOUN
ejpam-798	249	11	of	of	ADP
ejpam-798	249	12	e	e	PROPN
ejpam-798	249	13	h	h	NOUN
ejpam-798	249	14	zz	zz	NOUN
ejpam-798	250	1	′	′	NUM
ejpam-798	251	1	(	(	PUNCT
ejpam-798	251	2	z	z	NOUN
ejpam-798	251	3	′m1	′m1	NOUN
ejpam-798	251	4	z)2	z)2	PROPN
ejpam-798	251	5	i	i	PRON
ejpam-798	251	6	.	.	PUNCT
ejpam-798	252	1	then	then	ADV
ejpam-798	252	2	fab	fab	NOUN
ejpam-798	252	3	can	can	AUX
ejpam-798	252	4	be	be	AUX
ejpam-798	252	5	computed	compute	VERB
ejpam-798	252	6	using	use	VERB
ejpam-798	252	7	ullah	ullah	PROPN
ejpam-798	252	8	’s	’s	PART
ejpam-798	252	9	lemmas	lemmas	PROPN
ejpam-798	252	10	as	as	SCONJ
ejpam-798	252	11	follows	follow	VERB
ejpam-798	252	12	:	:	PUNCT
ejpam-798	253	1	fab	fab	NOUN
ejpam-798	253	2	=	=	SYM
ejpam-798	253	3	e	e	X
ejpam-798	253	4	�	�	PROPN
ejpam-798	253	5	z	z	PROPN
ejpam-798	253	6	′	′	NOUN
ejpam-798	253	7	iabz	iabz	NOUN
ejpam-798	253	8	(	(	PUNCT
ejpam-798	253	9	z	z	NOUN
ejpam-798	253	10	′m1z)2	′m1z)2	NOUN
ejpam-798	253	11	�	�	PROPN
ejpam-798	253	12	=	=	SYM
ejpam-798	253	13	γ(2)−1	γ(2)−1	PROPN
ejpam-798	253	14	∞∫	∞∫	PROPN
ejpam-798	253	15	0	0	NUM
ejpam-798	253	16	t	t	PROPN
ejpam-798	253	17	�	�	PROPN
ejpam-798	253	18	�	�	PROPN
ejpam-798	253	19	n0	n0	PROPN
ejpam-798	253	20	t	t	PROPN
ejpam-798	253	21	�	�	PROPN
ejpam-798	253	22	�	�	PROPN
ejpam-798	253	23	−1/2	−1/2	ADJ
ejpam-798	253	24	(	(	PUNCT
ejpam-798	253	25	tr(iabn−1	tr(iabn−1	NOUN
ejpam-798	253	26	0	0	NUM
ejpam-798	253	27	t	t	NOUN
ejpam-798	253	28	)	)	PUNCT
ejpam-798	254	1	+	+	NOUN
ejpam-798	254	2	µ	µ	X
ejpam-798	254	3	′n2tµ	′n2tµ	NOUN
ejpam-798	254	4	)	)	PUNCT
ejpam-798	254	5	exp(−.5	exp(−.5	PROPN
ejpam-798	254	6	µ′n1tµ	µ′n1tµ	PRON
ejpam-798	254	7	)	)	PUNCT
ejpam-798	254	8	d	d	NOUN
ejpam-798	254	9	t|µ=0	t|µ=0	PUNCT
ejpam-798	254	10	=	=	SYM
ejpam-798	254	11	γ(2)−1	γ(2)−1	PROPN
ejpam-798	254	12	∞∫	∞∫	PROPN
ejpam-798	254	13	0	0	NUM
ejpam-798	254	14	t	t	PROPN
ejpam-798	254	15	�	�	PROPN
ejpam-798	254	16	�	�	PROPN
ejpam-798	254	17	n0	n0	PROPN
ejpam-798	254	18	t	t	PROPN
ejpam-798	254	19	�	�	PROPN
ejpam-798	254	20	�	�	PROPN
ejpam-798	254	21	−1/2	−1/2	ADJ
ejpam-798	254	22	(	(	PUNCT
ejpam-798	254	23	t	t	NOUN
ejpam-798	254	24	r(iabn−1	r(iabn−1	PROPN
ejpam-798	254	25	0	0	NUM
ejpam-798	254	26	t	t	NOUN
ejpam-798	254	27	)	)	PUNCT
ejpam-798	255	1	d	d	NOUN
ejpam-798	255	2	t.	t.	PROPN
ejpam-798	255	3	hence	hence	ADV
ejpam-798	255	4	,	,	PUNCT
ejpam-798	255	5	the	the	DET
ejpam-798	255	6	(	(	PUNCT
ejpam-798	255	7	i	i	NOUN
ejpam-798	255	8	,	,	PUNCT
ejpam-798	255	9	j)th	j)th	PROPN
ejpam-798	255	10	element	element	NOUN
ejpam-798	255	11	is	be	AUX
ejpam-798	256	1	di	di	X
ejpam-798	256	2	j	j	PROPN
ejpam-798	256	3	=	=	SYM
ejpam-798	256	4	λ	λ	PROPN
ejpam-798	256	5	2	2	NUM
ejpam-798	256	6	2	2	NUM
ejpam-798	256	7	∑2k	∑2k	ADP
ejpam-798	256	8	a=1	a=1	X
ejpam-798	256	9	∑2k	∑2k	PROPN
ejpam-798	256	10	b=1	b=1	PUNCT
ejpam-798	256	11	m2iafabm2	m2iafabm2	NOUN
ejpam-798	256	12	j	j	PROPN
ejpam-798	256	13	b	b	PROPN
ejpam-798	256	14	which	which	PRON
ejpam-798	256	15	completes	complete	VERB
ejpam-798	256	16	the	the	DET
ejpam-798	256	17	proof	proof	NOUN
ejpam-798	256	18	.	.	PUNCT