id	sid	tid	token	lemma	pos
ejpam-634	1	1	8_634_akbilgic.dvi	8_634_akbilgic.dvi	NUM
ejpam-634	1	2	european	european	ADJ
ejpam-634	1	3	journal	journal	NOUN
ejpam-634	1	4	of	of	ADP
ejpam-634	1	5	pure	pure	ADJ
ejpam-634	1	6	and	and	CCONJ
ejpam-634	1	7	applied	apply	VERB
ejpam-634	1	8	mathematics	mathematic	NOUN
ejpam-634	1	9	vol	vol	NOUN
ejpam-634	1	10	.	.	PROPN
ejpam-634	2	1	4	4	NUM
ejpam-634	2	2	,	,	PUNCT
ejpam-634	2	3	no	no	INTJ
ejpam-634	2	4	.	.	NOUN
ejpam-634	2	5	4	4	NUM
ejpam-634	2	6	,	,	PUNCT
ejpam-634	2	7	2011	2011	NUM
ejpam-634	2	8	,	,	PUNCT
ejpam-634	2	9	448	448	NUM
ejpam-634	2	10	-	-	SYM
ejpam-634	2	11	454	454	NUM
ejpam-634	2	12	issn	issn	PROPN
ejpam-634	2	13	1307	1307	NUM
ejpam-634	2	14	-	-	SYM
ejpam-634	2	15	5543	5543	NUM
ejpam-634	2	16	–	–	PUNCT
ejpam-634	2	17	www.ejpam.com	www.ejpam.com	X
ejpam-634	2	18	a	a	DET
ejpam-634	2	19	novel	novel	ADJ
ejpam-634	2	20	normality	normality	NOUN
ejpam-634	2	21	test	test	NOUN
ejpam-634	2	22	using	use	VERB
ejpam-634	2	23	an	an	DET
ejpam-634	2	24	identity	identity	NOUN
ejpam-634	2	25	transformation	transformation	NOUN
ejpam-634	2	26	of	of	ADP
ejpam-634	2	27	the	the	DET
ejpam-634	2	28	gaussian	gaussian	ADJ
ejpam-634	2	29	function	function	NOUN
ejpam-634	2	30	oğuz	oğuz	X
ejpam-634	2	31	akbilgiç1∗	akbilgiç1∗	PROPN
ejpam-634	2	32	,	,	PUNCT
ejpam-634	2	33	j.	j.	PROPN
ejpam-634	2	34	andrew	andrew	PROPN
ejpam-634	2	35	howe	howe	PROPN
ejpam-634	2	36	2	2	NUM
ejpam-634	2	37	1	1	NUM
ejpam-634	2	38	department	department	NOUN
ejpam-634	2	39	of	of	ADP
ejpam-634	2	40	quantitative	quantitative	ADJ
ejpam-634	2	41	methods	method	NOUN
ejpam-634	2	42	,	,	PUNCT
ejpam-634	2	43	istanbul	istanbul	PROPN
ejpam-634	2	44	university	university	PROPN
ejpam-634	2	45	school	school	NOUN
ejpam-634	2	46	of	of	ADP
ejpam-634	2	47	business	business	PROPN
ejpam-634	2	48	administration	administration	PROPN
ejpam-634	2	49	,	,	PUNCT
ejpam-634	2	50	istanbul	istanbul	PROPN
ejpam-634	2	51	,	,	PUNCT
ejpam-634	2	52	turkey	turkey	PROPN
ejpam-634	2	53	2	2	NUM
ejpam-634	2	54	tennessee	tennessee	PROPN
ejpam-634	2	55	valley	valley	PROPN
ejpam-634	2	56	authority	authority	PROPN
ejpam-634	2	57	,	,	PUNCT
ejpam-634	2	58	chattanooga	chattanooga	PROPN
ejpam-634	2	59	tennessee	tennessee	PROPN
ejpam-634	2	60	,	,	PUNCT
ejpam-634	2	61	usa	usa	PROPN
ejpam-634	2	62	abstract	abstract	PROPN
ejpam-634	2	63	.	.	PUNCT
ejpam-634	3	1	normality	normality	NOUN
ejpam-634	3	2	is	be	AUX
ejpam-634	3	3	the	the	DET
ejpam-634	3	4	most	most	ADV
ejpam-634	3	5	frequently	frequently	ADV
ejpam-634	3	6	required	require	VERB
ejpam-634	3	7	assumption	assumption	NOUN
ejpam-634	3	8	for	for	ADP
ejpam-634	3	9	statistical	statistical	ADJ
ejpam-634	3	10	techniques	technique	NOUN
ejpam-634	3	11	.	.	PUNCT
ejpam-634	4	1	thus	thus	ADV
ejpam-634	4	2	,	,	PUNCT
ejpam-634	4	3	evaluation	evaluation	NOUN
ejpam-634	4	4	of	of	ADP
ejpam-634	4	5	the	the	DET
ejpam-634	4	6	normality	normality	NOUN
ejpam-634	4	7	assumption	assumption	NOUN
ejpam-634	4	8	is	be	AUX
ejpam-634	4	9	the	the	DET
ejpam-634	4	10	first	first	ADJ
ejpam-634	4	11	step	step	NOUN
ejpam-634	4	12	of	of	ADP
ejpam-634	4	13	many	many	ADJ
ejpam-634	4	14	statistical	statistical	ADJ
ejpam-634	4	15	analyses	analysis	NOUN
ejpam-634	4	16	.	.	PUNCT
ejpam-634	5	1	although	although	SCONJ
ejpam-634	5	2	there	there	PRON
ejpam-634	5	3	are	be	VERB
ejpam-634	5	4	many	many	ADJ
ejpam-634	5	5	normality	normality	NOUN
ejpam-634	5	6	tests	test	NOUN
ejpam-634	5	7	in	in	ADP
ejpam-634	5	8	the	the	DET
ejpam-634	5	9	literature	literature	NOUN
ejpam-634	5	10	,	,	PUNCT
ejpam-634	5	11	none	none	NOUN
ejpam-634	5	12	dominate	dominate	VERB
ejpam-634	5	13	for	for	ADP
ejpam-634	5	14	all	all	DET
ejpam-634	5	15	conditions	condition	NOUN
ejpam-634	5	16	.	.	PUNCT
ejpam-634	6	1	this	this	DET
ejpam-634	6	2	paper	paper	NOUN
ejpam-634	6	3	introduces	introduce	VERB
ejpam-634	6	4	a	a	DET
ejpam-634	6	5	novel	novel	ADJ
ejpam-634	6	6	normality	normality	NOUN
ejpam-634	6	7	test	test	NOUN
ejpam-634	6	8	,	,	PUNCT
ejpam-634	6	9	and	and	CCONJ
ejpam-634	6	10	its	its	PRON
ejpam-634	6	11	performance	performance	NOUN
ejpam-634	6	12	is	be	AUX
ejpam-634	6	13	compared	compare	VERB
ejpam-634	6	14	with	with	ADP
ejpam-634	6	15	some	some	PRON
ejpam-634	6	16	of	of	ADP
ejpam-634	6	17	the	the	DET
ejpam-634	6	18	other	other	ADJ
ejpam-634	6	19	normality	normality	NOUN
ejpam-634	6	20	tests	test	NOUN
ejpam-634	6	21	via	via	ADP
ejpam-634	6	22	a	a	DET
ejpam-634	6	23	monte	monte	PROPN
ejpam-634	6	24	carlo	carlo	PROPN
ejpam-634	6	25	simulation	simulation	PROPN
ejpam-634	6	26	study	study	PROPN
ejpam-634	6	27	.	.	PUNCT
ejpam-634	7	1	tests	test	NOUN
ejpam-634	7	2	are	be	AUX
ejpam-634	7	3	evaluated	evaluate	VERB
ejpam-634	7	4	according	accord	VERB
ejpam-634	7	5	to	to	ADP
ejpam-634	7	6	the	the	DET
ejpam-634	7	7	type	type	NOUN
ejpam-634	7	8	i	i	PRON
ejpam-634	7	9	error	error	NOUN
ejpam-634	7	10	and	and	CCONJ
ejpam-634	7	11	power	power	NOUN
ejpam-634	7	12	.	.	PUNCT
ejpam-634	8	1	2000	2000	NUM
ejpam-634	8	2	mathematics	mathematic	NOUN
ejpam-634	8	3	subject	subject	NOUN
ejpam-634	8	4	classifications	classification	NOUN
ejpam-634	8	5	:	:	PUNCT
ejpam-634	8	6	62e15,62f03	62e15,62f03	NUM
ejpam-634	8	7	key	key	ADJ
ejpam-634	8	8	words	word	NOUN
ejpam-634	8	9	and	and	CCONJ
ejpam-634	8	10	phrases	phrase	NOUN
ejpam-634	8	11	:	:	PUNCT
ejpam-634	8	12	normality	normality	ADJ
ejpam-634	8	13	test	test	NOUN
ejpam-634	8	14	,	,	PUNCT
ejpam-634	8	15	gaussian	gaussian	ADJ
ejpam-634	8	16	distribution	distribution	NOUN
ejpam-634	8	17	,	,	PUNCT
ejpam-634	8	18	probability	probability	NOUN
ejpam-634	8	19	distributions	distribution	NOUN
ejpam-634	8	20	1	1	NUM
ejpam-634	8	21	.	.	PUNCT
ejpam-634	9	1	introduction	introduction	NOUN
ejpam-634	9	2	for	for	ADP
ejpam-634	9	3	a	a	DET
ejpam-634	9	4	given	give	VERB
ejpam-634	9	5	sample	sample	NOUN
ejpam-634	9	6	dataset	dataset	NOUN
ejpam-634	9	7	,	,	PUNCT
ejpam-634	9	8	testing	test	VERB
ejpam-634	9	9	whether	whether	SCONJ
ejpam-634	9	10	it	it	PRON
ejpam-634	9	11	follows	follow	VERB
ejpam-634	9	12	a	a	DET
ejpam-634	9	13	normal	normal	ADJ
ejpam-634	9	14	distribution	distribution	NOUN
ejpam-634	9	15	is	be	AUX
ejpam-634	9	16	a	a	DET
ejpam-634	9	17	common	common	ADJ
ejpam-634	9	18	starting	starting	NOUN
ejpam-634	9	19	point	point	NOUN
ejpam-634	9	20	for	for	ADP
ejpam-634	9	21	many	many	ADJ
ejpam-634	9	22	statistical	statistical	ADJ
ejpam-634	9	23	analysis	analysis	NOUN
ejpam-634	9	24	techniques	technique	NOUN
ejpam-634	9	25	.	.	PUNCT
ejpam-634	10	1	the	the	DET
ejpam-634	10	2	literature	literature	NOUN
ejpam-634	10	3	has	have	VERB
ejpam-634	10	4	many	many	ADJ
ejpam-634	10	5	different	different	ADJ
ejpam-634	10	6	normality	normality	NOUN
ejpam-634	10	7	tests	test	NOUN
ejpam-634	10	8	using	use	VERB
ejpam-634	10	9	one	one	NUM
ejpam-634	10	10	or	or	CCONJ
ejpam-634	10	11	more	more	ADJ
ejpam-634	10	12	characteristics	characteristic	NOUN
ejpam-634	10	13	of	of	ADP
ejpam-634	10	14	the	the	DET
ejpam-634	10	15	normal	normal	ADJ
ejpam-634	10	16	distribution	distribution	NOUN
ejpam-634	10	17	function	function	NOUN
ejpam-634	10	18	such	such	ADJ
ejpam-634	10	19	,	,	PUNCT
ejpam-634	10	20	as	as	SCONJ
ejpam-634	10	21	the	the	DET
ejpam-634	10	22	mean	mean	ADJ
ejpam-634	10	23	,	,	PUNCT
ejpam-634	10	24	variance	variance	NOUN
ejpam-634	10	25	,	,	PUNCT
ejpam-634	10	26	skewness	skewness	NOUN
ejpam-634	10	27	,	,	PUNCT
ejpam-634	10	28	kurtosis	kurtosis	NOUN
ejpam-634	10	29	etc	etc	X
ejpam-634	10	30	.	.	PUNCT
ejpam-634	11	1	the	the	DET
ejpam-634	11	2	shapiro	shapiro	PROPN
ejpam-634	11	3	-	-	PUNCT
ejpam-634	11	4	wilk	wilk	NOUN
ejpam-634	11	5	test	test	NOUN
ejpam-634	11	6	[	[	X
ejpam-634	11	7	3	3	NUM
ejpam-634	11	8	]	]	PUNCT
ejpam-634	11	9	,	,	PUNCT
ejpam-634	11	10	jarqua	jarqua	NOUN
ejpam-634	11	11	-	-	PUNCT
ejpam-634	11	12	bera	bera	NOUN
ejpam-634	11	13	[	[	X
ejpam-634	11	14	2	2	NUM
ejpam-634	11	15	]	]	PUNCT
ejpam-634	11	16	,	,	PUNCT
ejpam-634	11	17	and	and	CCONJ
ejpam-634	11	18	anderson	anderson	PROPN
ejpam-634	11	19	and	and	CCONJ
ejpam-634	11	20	darling	darling	NOUN
ejpam-634	11	21	test	test	NOUN
ejpam-634	11	22	[	[	X
ejpam-634	11	23	1	1	X
ejpam-634	11	24	]	]	PUNCT
ejpam-634	11	25	are	be	AUX
ejpam-634	11	26	some	some	PRON
ejpam-634	11	27	of	of	ADP
ejpam-634	11	28	the	the	DET
ejpam-634	11	29	most	most	ADV
ejpam-634	11	30	familiar	familiar	ADJ
ejpam-634	11	31	.	.	PUNCT
ejpam-634	12	1	in	in	ADP
ejpam-634	12	2	this	this	DET
ejpam-634	12	3	study	study	NOUN
ejpam-634	12	4	,	,	PUNCT
ejpam-634	12	5	we	we	PRON
ejpam-634	12	6	aim	aim	VERB
ejpam-634	12	7	to	to	PART
ejpam-634	12	8	simultaneously	simultaneously	ADV
ejpam-634	12	9	handle	handle	VERB
ejpam-634	12	10	all	all	DET
ejpam-634	12	11	the	the	DET
ejpam-634	12	12	characteristics	characteristic	NOUN
ejpam-634	12	13	mentioned	mention	VERB
ejpam-634	12	14	.	.	PUNCT
ejpam-634	13	1	logically	logically	ADV
ejpam-634	13	2	,	,	PUNCT
ejpam-634	13	3	the	the	DET
ejpam-634	13	4	gaussian	gaussian	ADJ
ejpam-634	13	5	function	function	NOUN
ejpam-634	13	6	is	be	AUX
ejpam-634	13	7	the	the	DET
ejpam-634	13	8	unique	unique	ADJ
ejpam-634	13	9	and	and	CCONJ
ejpam-634	13	10	most	most	ADV
ejpam-634	13	11	appropriate	appropriate	ADJ
ejpam-634	13	12	tool	tool	NOUN
ejpam-634	13	13	having	have	VERB
ejpam-634	13	14	these	these	DET
ejpam-634	13	15	characteristics	characteristic	NOUN
ejpam-634	13	16	;	;	PUNCT
ejpam-634	13	17	thus	thus	ADV
ejpam-634	13	18	,	,	PUNCT
ejpam-634	13	19	we	we	PRON
ejpam-634	13	20	have	have	AUX
ejpam-634	13	21	built	build	VERB
ejpam-634	13	22	our	our	PRON
ejpam-634	13	23	test	test	NOUN
ejpam-634	13	24	on	on	ADP
ejpam-634	13	25	the	the	DET
ejpam-634	13	26	gaussian	gaussian	ADJ
ejpam-634	13	27	density	density	NOUN
ejpam-634	13	28	function	function	NOUN
ejpam-634	13	29	.	.	PUNCT
ejpam-634	14	1	in	in	ADP
ejpam-634	14	2	section	section	NOUN
ejpam-634	14	3	2	2	NUM
ejpam-634	14	4	,	,	PUNCT
ejpam-634	14	5	we	we	PRON
ejpam-634	14	6	define	define	VERB
ejpam-634	14	7	a	a	DET
ejpam-634	14	8	continuous	continuous	ADJ
ejpam-634	14	9	random	random	ADJ
ejpam-634	14	10	variable	variable	NOUN
ejpam-634	14	11	by	by	ADP
ejpam-634	14	12	transforming	transform	VERB
ejpam-634	14	13	data	datum	NOUN
ejpam-634	14	14	using	use	VERB
ejpam-634	14	15	the	the	DET
ejpam-634	14	16	gaussian	gaussian	ADJ
ejpam-634	14	17	pdf	pdf	NOUN
ejpam-634	14	18	.	.	PUNCT
ejpam-634	15	1	then	then	ADV
ejpam-634	15	2	we	we	PRON
ejpam-634	15	3	derive	derive	VERB
ejpam-634	15	4	some	some	DET
ejpam-634	15	5	statistical	statistical	ADJ
ejpam-634	15	6	characteristics	characteristic	NOUN
ejpam-634	15	7	like	like	ADP
ejpam-634	15	8	mean	mean	NOUN
ejpam-634	15	9	,	,	PUNCT
ejpam-634	15	10	variance	variance	NOUN
ejpam-634	15	11	,	,	PUNCT
ejpam-634	15	12	standard	standard	ADJ
ejpam-634	15	13	deviation	deviation	NOUN
ejpam-634	15	14	and	and	CCONJ
ejpam-634	15	15	cumulative	cumulative	ADJ
ejpam-634	15	16	distribution	distribution	NOUN
ejpam-634	15	17	for	for	ADP
ejpam-634	15	18	this	this	DET
ejpam-634	15	19	variable	variable	NOUN
ejpam-634	15	20	.	.	PUNCT
ejpam-634	16	1	these	these	DET
ejpam-634	16	2	characteristics	characteristic	NOUN
ejpam-634	16	3	are	be	AUX
ejpam-634	16	4	then	then	ADV
ejpam-634	16	5	used	use	VERB
ejpam-634	16	6	to	to	PART
ejpam-634	16	7	construct	construct	VERB
ejpam-634	16	8	a	a	DET
ejpam-634	16	9	novel	novel	ADJ
ejpam-634	16	10	normality	normality	NOUN
ejpam-634	16	11	test	test	NOUN
ejpam-634	16	12	,	,	PUNCT
ejpam-634	16	13	testing	test	VERB
ejpam-634	16	14	the	the	DET
ejpam-634	16	15	null	null	ADJ
ejpam-634	16	16	hypothesis	hypothesis	NOUN
ejpam-634	16	17	that	that	PRON
ejpam-634	16	18	a	a	DET
ejpam-634	16	19	given	give	VERB
ejpam-634	16	20	sample	sample	NOUN
ejpam-634	16	21	data	datum	NOUN
ejpam-634	16	22	comes	come	VERB
ejpam-634	16	23	from	from	ADP
ejpam-634	16	24	the	the	DET
ejpam-634	16	25	normal	normal	ADJ
ejpam-634	16	26	distribution	distribution	NOUN
ejpam-634	16	27	.	.	PUNCT
ejpam-634	17	1	we	we	PRON
ejpam-634	17	2	show	show	VERB
ejpam-634	17	3	and	and	CCONJ
ejpam-634	17	4	discuss	discuss	VERB
ejpam-634	17	5	results	result	NOUN
ejpam-634	17	6	from	from	ADP
ejpam-634	17	7	simulation	simulation	NOUN
ejpam-634	17	8	studies	study	NOUN
ejpam-634	17	9	in	in	ADP
ejpam-634	17	10	section	section	NOUN
ejpam-634	17	11	3	3	NUM
ejpam-634	17	12	,	,	PUNCT
ejpam-634	17	13	then	then	ADV
ejpam-634	17	14	finish	finish	VERB
ejpam-634	17	15	with	with	ADP
ejpam-634	17	16	some	some	DET
ejpam-634	17	17	concluding	concluding	NOUN
ejpam-634	17	18	remarks	remark	NOUN
ejpam-634	17	19	.	.	PUNCT
ejpam-634	18	1	∗corresponding	∗corresponde	VERB
ejpam-634	18	2	author	author	NOUN
ejpam-634	18	3	.	.	PUNCT
ejpam-634	19	1	email	email	NOUN
ejpam-634	19	2	addresses	address	NOUN
ejpam-634	19	3	:	:	PUNCT
ejpam-634	19	4	oguzakbilgi	oguzakbilgi	PROPN
ejpam-634	19	5	�	�	PROPN
ejpam-634	19	6	gmail	gmail	NOUN
ejpam-634	19	7	.	.	PUNCT
ejpam-634	20	1	om	om	PROPN
ejpam-634	20	2	(	(	PUNCT
ejpam-634	20	3	o.	o.	NOUN
ejpam-634	20	4	akbilgiç	akbilgiç	PROPN
ejpam-634	20	5	)	)	PUNCT
ejpam-634	20	6	,	,	PUNCT
ejpam-634	20	7	ahowe42	ahowe42	NOUN
ejpam-634	20	8	�	�	NOUN
ejpam-634	20	9	gmail	gmail	NOUN
ejpam-634	20	10	.	.	PUNCT
ejpam-634	21	1	om	om	PROPN
ejpam-634	21	2	(	(	PUNCT
ejpam-634	21	3	a.	a.	NOUN
ejpam-634	21	4	howe	howe	PROPN
ejpam-634	21	5	)	)	PUNCT
ejpam-634	21	6	http://www.ejpam.com	http://www.ejpam.com	X
ejpam-634	22	1	448	448	NUM
ejpam-634	23	1	c	c	X
ejpam-634	23	2	©	©	PROPN
ejpam-634	23	3	2011	2011	NUM
ejpam-634	23	4	ejpam	ejpam	VERB
ejpam-634	23	5	all	all	DET
ejpam-634	23	6	rights	right	NOUN
ejpam-634	23	7	reserved	reserve	VERB
ejpam-634	23	8	.	.	PUNCT
ejpam-634	24	1	o.	o.	PROPN
ejpam-634	24	2	akbilgiç	akbilgiç	PROPN
ejpam-634	24	3	,	,	PUNCT
ejpam-634	24	4	a.	a.	PROPN
ejpam-634	24	5	howe	howe	PROPN
ejpam-634	24	6	/	/	SYM
ejpam-634	24	7	eur	eur	PROPN
ejpam-634	24	8	.	.	PUNCT
ejpam-634	25	1	j.	j.	PROPN
ejpam-634	25	2	pure	pure	PROPN
ejpam-634	25	3	appl	appl	PROPN
ejpam-634	25	4	.	.	PROPN
ejpam-634	25	5	math	math	PROPN
ejpam-634	25	6	,	,	PUNCT
ejpam-634	25	7	4	4	NUM
ejpam-634	25	8	(	(	PUNCT
ejpam-634	25	9	2011	2011	NUM
ejpam-634	25	10	)	)	PUNCT
ejpam-634	25	11	,	,	PUNCT
ejpam-634	25	12	448	448	NUM
ejpam-634	25	13	-	-	SYM
ejpam-634	25	14	454	454	NUM
ejpam-634	25	15	449	449	NUM
ejpam-634	25	16	2	2	NUM
ejpam-634	25	17	.	.	PUNCT
ejpam-634	25	18	test	test	NOUN
ejpam-634	25	19	for	for	ADP
ejpam-634	25	20	normality	normality	NOUN
ejpam-634	25	21	let	let	VERB
ejpam-634	25	22	x	x	PRON
ejpam-634	25	23	be	be	AUX
ejpam-634	25	24	a	a	DET
ejpam-634	25	25	continuous	continuous	ADJ
ejpam-634	25	26	random	random	ADJ
ejpam-634	25	27	variable	variable	NOUN
ejpam-634	25	28	from	from	ADP
ejpam-634	25	29	a	a	DET
ejpam-634	25	30	normal	normal	ADJ
ejpam-634	25	31	distribution	distribution	NOUN
ejpam-634	25	32	with	with	ADP
ejpam-634	25	33	mean	mean	ADJ
ejpam-634	25	34	µ	µ	X
ejpam-634	25	35	and	and	CCONJ
ejpam-634	25	36	variance	variance	NOUN
ejpam-634	25	37	δ2	δ2	VERB
ejpam-634	25	38	,	,	PUNCT
ejpam-634	25	39	x	x	SYM
ejpam-634	25	40	∼	∼	NOUN
ejpam-634	25	41	n(µ,δ2	n(µ,δ2	NOUN
ejpam-634	25	42	)	)	PUNCT
ejpam-634	25	43	.	.	PUNCT
ejpam-634	26	1	it	it	PRON
ejpam-634	26	2	is	be	AUX
ejpam-634	26	3	known	know	VERB
ejpam-634	26	4	that	that	SCONJ
ejpam-634	26	5	x	x	PROPN
ejpam-634	26	6	’s	’s	ADJ
ejpam-634	26	7	density	density	NOUN
ejpam-634	26	8	function	function	NOUN
ejpam-634	26	9	,	,	PUNCT
ejpam-634	26	10	called	call	VERB
ejpam-634	26	11	the	the	DET
ejpam-634	26	12	gaussian	gaussian	ADJ
ejpam-634	26	13	function	function	NOUN
ejpam-634	26	14	,	,	PUNCT
ejpam-634	26	15	and	and	CCONJ
ejpam-634	26	16	distribution	distribution	NOUN
ejpam-634	26	17	function	function	NOUN
ejpam-634	26	18	are	be	AUX
ejpam-634	26	19	shown	show	VERB
ejpam-634	26	20	in	in	ADP
ejpam-634	26	21	(	(	PUNCT
ejpam-634	26	22	1	1	NUM
ejpam-634	26	23	)	)	PUNCT
ejpam-634	26	24	and	and	CCONJ
ejpam-634	26	25	(	(	PUNCT
ejpam-634	26	26	2	2	NUM
ejpam-634	26	27	)	)	PUNCT
ejpam-634	26	28	,	,	PUNCT
ejpam-634	26	29	respectively	respectively	ADV
ejpam-634	26	30	.	.	PUNCT
ejpam-634	27	1	f	f	X
ejpam-634	27	2	(	(	PUNCT
ejpam-634	27	3	x	x	X
ejpam-634	27	4	)	)	PUNCT
ejpam-634	27	5	=	=	SYM
ejpam-634	27	6	1	1	NUM
ejpam-634	27	7	δ	δ	NOUN
ejpam-634	27	8	p	p	NOUN
ejpam-634	27	9	2π	2π	NOUN
ejpam-634	27	10	e−	e−	PROPN
ejpam-634	27	11	1	1	NUM
ejpam-634	27	12	2	2	NUM
ejpam-634	27	13	(	(	PUNCT
ejpam-634	27	14	(	(	PUNCT
ejpam-634	27	15	x−µ)/δ)2	x−µ)/δ)2	X
ejpam-634	27	16	(	(	PUNCT
ejpam-634	27	17	1	1	X
ejpam-634	27	18	)	)	PUNCT
ejpam-634	27	19	fx	fx	NOUN
ejpam-634	27	20	(	(	PUNCT
ejpam-634	27	21	t	t	PROPN
ejpam-634	27	22	)	)	PUNCT
ejpam-634	27	23	=	=	SYM
ejpam-634	27	24	1	1	NUM
ejpam-634	27	25	δ	δ	NOUN
ejpam-634	27	26	p	p	NOUN
ejpam-634	27	27	2π	2π	NUM
ejpam-634	27	28	∫	∫	PROPN
ejpam-634	27	29	t	t	PROPN
ejpam-634	27	30	−∞	−∞	PUNCT
ejpam-634	27	31	e−	e−	PROPN
ejpam-634	27	32	1	1	NUM
ejpam-634	27	33	2	2	NUM
ejpam-634	27	34	(	(	PUNCT
ejpam-634	27	35	(	(	PUNCT
ejpam-634	27	36	x−µ)/δ)2	x−µ)/δ)2	PROPN
ejpam-634	27	37	d	d	X
ejpam-634	27	38	x	x	X
ejpam-634	27	39	(	(	PUNCT
ejpam-634	27	40	2	2	NUM
ejpam-634	27	41	)	)	PUNCT
ejpam-634	27	42	if	if	SCONJ
ejpam-634	27	43	we	we	PRON
ejpam-634	27	44	use	use	VERB
ejpam-634	27	45	a	a	DET
ejpam-634	27	46	transformation	transformation	NOUN
ejpam-634	27	47	to	to	PART
ejpam-634	27	48	define	define	VERB
ejpam-634	27	49	a	a	DET
ejpam-634	27	50	new	new	ADJ
ejpam-634	27	51	random	random	ADJ
ejpam-634	27	52	variable	variable	NOUN
ejpam-634	27	53	as	as	ADP
ejpam-634	27	54	a	a	DET
ejpam-634	27	55	function	function	NOUN
ejpam-634	27	56	of	of	ADP
ejpam-634	27	57	our	our	PRON
ejpam-634	27	58	data	datum	NOUN
ejpam-634	27	59	y	y	PROPN
ejpam-634	27	60	=	=	SYM
ejpam-634	27	61	f	f	PROPN
ejpam-634	27	62	(	(	PUNCT
ejpam-634	27	63	x	x	PROPN
ejpam-634	27	64	)	)	PUNCT
ejpam-634	27	65	,	,	PUNCT
ejpam-634	27	66	the	the	DET
ejpam-634	27	67	mean	mean	NOUN
ejpam-634	27	68	and	and	CCONJ
ejpam-634	27	69	variance	variance	NOUN
ejpam-634	27	70	of	of	ADP
ejpam-634	27	71	y	y	PROPN
ejpam-634	27	72	are	be	AUX
ejpam-634	27	73	obtained	obtain	VERB
ejpam-634	27	74	by	by	ADP
ejpam-634	27	75	the	the	DET
ejpam-634	27	76	following	follow	VERB
ejpam-634	27	77	process	process	NOUN
ejpam-634	27	78	.	.	PUNCT
ejpam-634	28	1	e[y	e[y	VERB
ejpam-634	28	2	]	]	PUNCT
ejpam-634	29	1	=	=	PUNCT
ejpam-634	29	2	e	e	X
ejpam-634	29	3	[	[	PUNCT
ejpam-634	29	4	f	f	X
ejpam-634	29	5	(	(	PUNCT
ejpam-634	29	6	x	x	PROPN
ejpam-634	29	7	)	)	PUNCT
ejpam-634	29	8	]	]	PUNCT
ejpam-634	30	1	=	=	PUNCT
ejpam-634	30	2	∫	∫	PROPN
ejpam-634	30	3	∞	∞	PROPN
ejpam-634	30	4	−∞	−∞	ADP
ejpam-634	30	5	1	1	NUM
ejpam-634	30	6	δ	δ	PROPN
ejpam-634	30	7	p	p	NOUN
ejpam-634	30	8	2π	2π	NOUN
ejpam-634	30	9	e−	e−	PROPN
ejpam-634	30	10	1	1	NUM
ejpam-634	30	11	2	2	NUM
ejpam-634	30	12	(	(	PUNCT
ejpam-634	30	13	(	(	PUNCT
ejpam-634	30	14	x−µ)/δ)2	x−µ)/δ)2	NOUN
ejpam-634	30	15	·	·	PUNCT
ejpam-634	30	16	1	1	NUM
ejpam-634	30	17	δ	δ	NOUN
ejpam-634	30	18	p	p	NOUN
ejpam-634	30	19	2π	2π	NOUN
ejpam-634	30	20	e−	e−	PROPN
ejpam-634	30	21	1	1	NUM
ejpam-634	30	22	2	2	NUM
ejpam-634	30	23	(	(	PUNCT
ejpam-634	30	24	(	(	PUNCT
ejpam-634	30	25	x−µ)/δ)2	x−µ)/δ)2	PROPN
ejpam-634	30	26	d	d	NOUN
ejpam-634	30	27	x	x	SYM
ejpam-634	31	1	=	=	SYM
ejpam-634	31	2	1	1	NUM
ejpam-634	31	3	2πδ2	2πδ2	NUM
ejpam-634	31	4	∫	∫	NOUN
ejpam-634	31	5	∞	∞	PROPN
ejpam-634	31	6	−∞	−∞	X
ejpam-634	31	7	e−((x−µ)/δ	e−((x−µ)/δ	NUM
ejpam-634	31	8	)	)	PUNCT
ejpam-634	31	9	2	2	NUM
ejpam-634	31	10	d	d	NOUN
ejpam-634	31	11	x	x	SYM
ejpam-634	31	12	=	=	SYM
ejpam-634	31	13	1	1	NUM
ejpam-634	31	14	2πδ2	2πδ2	NUM
ejpam-634	31	15	∫	∫	NOUN
ejpam-634	31	16	∞	∞	PROPN
ejpam-634	31	17	−∞	−∞	ADP
ejpam-634	31	18	e−	e−	PROPN
ejpam-634	31	19	1	1	NUM
ejpam-634	31	20	2	2	NUM
ejpam-634	31	21	(	(	PUNCT
ejpam-634	31	22	p	p	NOUN
ejpam-634	32	1	2(x−µ)/δ)2	2(x−µ)/δ)2	NUM
ejpam-634	32	2	d	d	NOUN
ejpam-634	32	3	x	x	NOUN
ejpam-634	32	4	let	let	VERB
ejpam-634	32	5	u	u	NOUN
ejpam-634	32	6	=	=	PUNCT
ejpam-634	32	7	p	p	X
ejpam-634	32	8	2(x	2(x	NUM
ejpam-634	32	9	−µ)/δ	−µ)/δ	PROPN
ejpam-634	32	10	,	,	PUNCT
ejpam-634	32	11	so	so	ADV
ejpam-634	32	12	du=	du=	VERB
ejpam-634	32	13	p	p	ADJ
ejpam-634	32	14	2	2	NUM
ejpam-634	32	15	δ	δ	NOUN
ejpam-634	32	16	d	d	NOUN
ejpam-634	32	17	x	x	PUNCT
ejpam-634	32	18	−→	−→	NOUN
ejpam-634	32	19	=	=	SYM
ejpam-634	32	20	1	1	NUM
ejpam-634	32	21	2πδ2	2πδ2	NUM
ejpam-634	32	22	∫	∫	NOUN
ejpam-634	32	23	∞	∞	PROPN
ejpam-634	32	24	−∞	−∞	ADP
ejpam-634	32	25	e−	e−	PROPN
ejpam-634	32	26	u2	u2	PROPN
ejpam-634	32	27	2	2	NUM
ejpam-634	32	28	δp	δp	ADP
ejpam-634	32	29	2	2	NUM
ejpam-634	32	30	du=	du=	NOUN
ejpam-634	32	31	p	p	PROPN
ejpam-634	32	32	2π	2π	PROPN
ejpam-634	32	33	2	2	NUM
ejpam-634	32	34	p	p	NOUN
ejpam-634	32	35	2πδ	2πδ	NOUN
ejpam-634	33	1	=	=	SYM
ejpam-634	33	2	1	1	NUM
ejpam-634	33	3	2	2	NUM
ejpam-634	33	4	p	p	NOUN
ejpam-634	33	5	πδ	πδ	NOUN
ejpam-634	33	6	(	(	PUNCT
ejpam-634	33	7	3	3	X
ejpam-634	33	8	)	)	PUNCT
ejpam-634	33	9	e[y	e[y	VERB
ejpam-634	33	10	2	2	NUM
ejpam-634	33	11	]	]	PUNCT
ejpam-634	33	12	=	=	SYM
ejpam-634	33	13	e	e	X
ejpam-634	33	14	[	[	PUNCT
ejpam-634	33	15	f	f	X
ejpam-634	33	16	(	(	PUNCT
ejpam-634	33	17	x	x	SYM
ejpam-634	33	18	)	)	PUNCT
ejpam-634	33	19	2	2	NUM
ejpam-634	33	20	]	]	PUNCT
ejpam-634	33	21	=	=	SYM
ejpam-634	33	22	∫	∫	PROPN
ejpam-634	33	23	∞	∞	PROPN
ejpam-634	34	1	−∞	−∞	PUNCT
ejpam-634	34	2	{	{	PUNCT
ejpam-634	34	3	1	1	NUM
ejpam-634	34	4	δ	δ	PROPN
ejpam-634	34	5	p	p	NOUN
ejpam-634	34	6	2π	2π	NOUN
ejpam-634	34	7	e−	e−	PROPN
ejpam-634	34	8	1	1	NUM
ejpam-634	34	9	2	2	NUM
ejpam-634	34	10	(	(	PUNCT
ejpam-634	34	11	(	(	PUNCT
ejpam-634	34	12	x−µ)/δ)2}2	x−µ)/δ)2}2	X
ejpam-634	34	13	·	·	SYM
ejpam-634	34	14	1	1	NUM
ejpam-634	34	15	δ	δ	NOUN
ejpam-634	34	16	p	p	NOUN
ejpam-634	34	17	2π	2π	NOUN
ejpam-634	34	18	e−	e−	PROPN
ejpam-634	34	19	1	1	NUM
ejpam-634	34	20	2	2	NUM
ejpam-634	34	21	(	(	PUNCT
ejpam-634	34	22	(	(	PUNCT
ejpam-634	34	23	x−µ)/δ)2	x−µ)/δ)2	PROPN
ejpam-634	34	24	d	d	NOUN
ejpam-634	34	25	x	x	SYM
ejpam-634	34	26	=	=	SYM
ejpam-634	34	27	1	1	NUM
ejpam-634	34	28	δ32π	δ32π	NOUN
ejpam-634	34	29	p	p	NOUN
ejpam-634	34	30	2π	2π	NUM
ejpam-634	34	31	∫	∫	X
ejpam-634	34	32	∞	∞	PROPN
ejpam-634	34	33	−∞	−∞	ADP
ejpam-634	34	34	e−	e−	PROPN
ejpam-634	34	35	3	3	NUM
ejpam-634	34	36	2	2	NUM
ejpam-634	34	37	(	(	PUNCT
ejpam-634	34	38	(	(	PUNCT
ejpam-634	34	39	x−µ)/δ)2	x−µ)/δ)2	PROPN
ejpam-634	34	40	d	d	NOUN
ejpam-634	34	41	x	x	SYM
ejpam-634	34	42	=	=	SYM
ejpam-634	34	43	1	1	NUM
ejpam-634	34	44	δ32π	δ32π	NOUN
ejpam-634	35	1	p	p	NOUN
ejpam-634	35	2	2π	2π	NUM
ejpam-634	35	3	∫	∫	X
ejpam-634	35	4	∞	∞	PROPN
ejpam-634	35	5	−∞	−∞	ADP
ejpam-634	35	6	e−	e−	PROPN
ejpam-634	35	7	1	1	NUM
ejpam-634	35	8	2	2	NUM
ejpam-634	35	9	(	(	PUNCT
ejpam-634	35	10	p	p	PROPN
ejpam-634	35	11	3(x−µ)/δ)2	3(x−µ)/δ)2	NUM
ejpam-634	35	12	d	d	NOUN
ejpam-634	35	13	x	x	PUNCT
ejpam-634	35	14	let	let	VERB
ejpam-634	35	15	u	u	PRON
ejpam-634	35	16	=	=	PROPN
ejpam-634	35	17	p	p	PROPN
ejpam-634	35	18	3(x	3(x	NUM
ejpam-634	35	19	−µ)/δ	−µ)/δ	NOUN
ejpam-634	35	20	,	,	PUNCT
ejpam-634	35	21	so	so	ADV
ejpam-634	35	22	du=	du=	VERB
ejpam-634	35	23	p	p	X
ejpam-634	35	24	3	3	NUM
ejpam-634	35	25	δ	δ	NOUN
ejpam-634	35	26	d	d	NOUN
ejpam-634	35	27	x	x	PUNCT
ejpam-634	35	28	−→	−→	NOUN
ejpam-634	35	29	=	=	SYM
ejpam-634	35	30	1	1	NUM
ejpam-634	35	31	δ32π	δ32π	NOUN
ejpam-634	36	1	p	p	NOUN
ejpam-634	36	2	2π	2π	NUM
ejpam-634	36	3	∫	∫	X
ejpam-634	36	4	∞	∞	PROPN
ejpam-634	37	1	−∞	−∞	ADP
ejpam-634	37	2	e−	e−	PROPN
ejpam-634	37	3	u2	u2	PROPN
ejpam-634	37	4	2	2	NUM
ejpam-634	37	5	δp	δp	ADP
ejpam-634	37	6	3	3	NUM
ejpam-634	37	7	du=	du=	PROPN
ejpam-634	37	8	1	1	NUM
ejpam-634	37	9	δ32π	δ32π	NOUN
ejpam-634	37	10	p	p	X
ejpam-634	37	11	(	(	PUNCT
ejpam-634	37	12	2π	2π	NOUN
ejpam-634	37	13	)	)	PUNCT
ejpam-634	37	14	·	·	PUNCT
ejpam-634	38	1	δ	δ	X
ejpam-634	38	2	p	p	NOUN
ejpam-634	38	3	2πp	2πp	NOUN
ejpam-634	38	4	3	3	NUM
ejpam-634	38	5	=	=	SYM
ejpam-634	38	6	1	1	NUM
ejpam-634	38	7	2	2	NUM
ejpam-634	38	8	p	p	NOUN
ejpam-634	38	9	3πδ2	3πδ2	NUM
ejpam-634	38	10	(	(	PUNCT
ejpam-634	38	11	4	4	NUM
ejpam-634	38	12	)	)	PUNCT
ejpam-634	38	13	var[y	var[y	VERB
ejpam-634	38	14	]	]	PUNCT
ejpam-634	39	1	=	=	PUNCT
ejpam-634	39	2	e[(y	e[(y	PROPN
ejpam-634	39	3	−	−	PROPN
ejpam-634	39	4	e[y	e[y	VERB
ejpam-634	39	5	]	]	NOUN
ejpam-634	39	6	)	)	PUNCT
ejpam-634	39	7	2	2	X
ejpam-634	39	8	]	]	PUNCT
ejpam-634	39	9	=	=	SYM
ejpam-634	39	10	e[y	e[y	VERB
ejpam-634	39	11	2]−	2]−	NUM
ejpam-634	39	12	e[y	e[y	VERB
ejpam-634	39	13	]	]	SYM
ejpam-634	39	14	2	2	NUM
ejpam-634	39	15	=	=	SYM
ejpam-634	39	16	1	1	NUM
ejpam-634	39	17	2	2	NUM
ejpam-634	39	18	p	p	NOUN
ejpam-634	39	19	3πδ2	3πδ2	NUM
ejpam-634	39	20	−	−	PROPN
ejpam-634	40	1	(	(	PUNCT
ejpam-634	40	2	1	1	NUM
ejpam-634	40	3	2	2	NUM
ejpam-634	40	4	p	p	NOUN
ejpam-634	40	5	πδ	πδ	NOUN
ejpam-634	40	6	)	)	PUNCT
ejpam-634	40	7	2	2	NUM
ejpam-634	40	8	=	=	SYM
ejpam-634	40	9	2−p3	2−p3	NUM
ejpam-634	40	10	4	4	NUM
ejpam-634	40	11	p	p	NOUN
ejpam-634	40	12	3πδ2	3πδ2	NUM
ejpam-634	40	13	(	(	PUNCT
ejpam-634	40	14	5	5	NUM
ejpam-634	40	15	)	)	PUNCT
ejpam-634	40	16	thus	thus	ADV
ejpam-634	40	17	,	,	PUNCT
ejpam-634	40	18	we	we	PRON
ejpam-634	40	19	have	have	AUX
ejpam-634	40	20	µy	µy	VERB
ejpam-634	40	21	=	=	PUNCT
ejpam-634	41	1	1/(2	1/(2	NUM
ejpam-634	41	2	p	p	X
ejpam-634	41	3	πδ	πδ	NOUN
ejpam-634	41	4	)	)	PUNCT
ejpam-634	41	5	,	,	PUNCT
ejpam-634	41	6	and	and	CCONJ
ejpam-634	41	7	δ2	δ2	VERB
ejpam-634	41	8	y	y	NOUN
ejpam-634	41	9	=	=	PUNCT
ejpam-634	41	10	(	(	PUNCT
ejpam-634	41	11	2	2	NUM
ejpam-634	41	12	−	−	PROPN
ejpam-634	41	13	p	p	NOUN
ejpam-634	41	14	3)/(4	3)/(4	NUM
ejpam-634	41	15	p	p	NOUN
ejpam-634	41	16	3πδ2	3πδ2	NUM
ejpam-634	41	17	)	)	PUNCT
ejpam-634	41	18	for	for	ADP
ejpam-634	41	19	a	a	DET
ejpam-634	41	20	random	random	ADJ
ejpam-634	41	21	variable	variable	NOUN
ejpam-634	41	22	y	y	NOUN
ejpam-634	41	23	.	.	PUNCT
ejpam-634	42	1	further	far	ADV
ejpam-634	42	2	,	,	PUNCT
ejpam-634	42	3	we	we	PRON
ejpam-634	42	4	may	may	AUX
ejpam-634	42	5	extract	extract	VERB
ejpam-634	42	6	the	the	DET
ejpam-634	42	7	distribution	distribution	NOUN
ejpam-634	42	8	function	function	NOUN
ejpam-634	42	9	of	of	ADP
ejpam-634	42	10	y	y	PROPN
ejpam-634	42	11	as	as	SCONJ
ejpam-634	42	12	shown	show	VERB
ejpam-634	42	13	here	here	ADV
ejpam-634	42	14	,	,	PUNCT
ejpam-634	42	15	using	use	VERB
ejpam-634	42	16	the	the	DET
ejpam-634	42	17	cdf	cdf	PROPN
ejpam-634	42	18	transformation	transformation	NOUN
ejpam-634	42	19	method	method	NOUN
ejpam-634	42	20	for	for	ADP
ejpam-634	42	21	a	a	DET
ejpam-634	42	22	random	random	ADJ
ejpam-634	42	23	variable	variable	NOUN
ejpam-634	42	24	.	.	PUNCT
ejpam-634	43	1	here	here	ADV
ejpam-634	43	2	we	we	PRON
ejpam-634	43	3	make	make	VERB
ejpam-634	43	4	use	use	NOUN
ejpam-634	43	5	of	of	ADP
ejpam-634	43	6	the	the	DET
ejpam-634	43	7	common	common	ADJ
ejpam-634	43	8	standardization	standardization	NOUN
ejpam-634	43	9	notation	notation	NOUN
ejpam-634	43	10	z	z	NOUN
ejpam-634	43	11	=	=	SYM
ejpam-634	43	12	(	(	PUNCT
ejpam-634	43	13	x	x	PROPN
ejpam-634	43	14	−µ)/δ	−µ)/δ	PROPN
ejpam-634	43	15	.	.	PUNCT
ejpam-634	43	16	f(y	f(y	NOUN
ejpam-634	43	17	)	)	PUNCT
ejpam-634	44	1	=	=	PUNCT
ejpam-634	45	1	p	p	X
ejpam-634	45	2	�	�	PROPN
ejpam-634	45	3	y	y	PROPN
ejpam-634	45	4	≤	≤	PROPN
ejpam-634	45	5	y	y	PROPN
ejpam-634	45	6	�	�	PROPN
ejpam-634	45	7	=	=	PUNCT
ejpam-634	45	8	p	p	PROPN
ejpam-634	45	9	�	�	PROPN
ejpam-634	45	10	1	1	NUM
ejpam-634	45	11	δ	δ	PROPN
ejpam-634	45	12	p	p	NOUN
ejpam-634	45	13	2π	2π	NOUN
ejpam-634	45	14	e−	e−	PROPN
ejpam-634	45	15	1	1	NUM
ejpam-634	45	16	2	2	NUM
ejpam-634	45	17	(	(	PUNCT
ejpam-634	45	18	(	(	PUNCT
ejpam-634	45	19	x−µ)/δ)2	x−µ)/δ)2	PROPN
ejpam-634	45	20	≤	≤	NUM
ejpam-634	45	21	y	y	PROPN
ejpam-634	45	22	�	�	PROPN
ejpam-634	45	23	=	=	PUNCT
ejpam-634	45	24	p	p	PROPN
ejpam-634	45	25	�	�	PROPN
ejpam-634	45	26	e−	e−	PROPN
ejpam-634	45	27	1	1	NUM
ejpam-634	45	28	2	2	NUM
ejpam-634	45	29	(	(	PUNCT
ejpam-634	45	30	(	(	PUNCT
ejpam-634	45	31	x−µ)/δ)2	x−µ)/δ)2	NOUN
ejpam-634	45	32	≤	≤	NUM
ejpam-634	45	33	δp2πy	δp2πy	NOUN
ejpam-634	45	34	�	�	PROPN
ejpam-634	45	35	o.	o.	PROPN
ejpam-634	45	36	akbilgiç	akbilgiç	PROPN
ejpam-634	45	37	,	,	PUNCT
ejpam-634	45	38	a.	a.	PROPN
ejpam-634	45	39	howe	howe	PROPN
ejpam-634	45	40	/	/	SYM
ejpam-634	45	41	eur	eur	PROPN
ejpam-634	45	42	.	.	PUNCT
ejpam-634	46	1	j.	j.	PROPN
ejpam-634	46	2	pure	pure	PROPN
ejpam-634	46	3	appl	appl	PROPN
ejpam-634	46	4	.	.	PROPN
ejpam-634	46	5	math	math	PROPN
ejpam-634	46	6	,	,	PUNCT
ejpam-634	46	7	4	4	NUM
ejpam-634	46	8	(	(	PUNCT
ejpam-634	46	9	2011	2011	NUM
ejpam-634	46	10	)	)	PUNCT
ejpam-634	46	11	,	,	PUNCT
ejpam-634	46	12	448	448	NUM
ejpam-634	46	13	-	-	SYM
ejpam-634	46	14	454	454	NUM
ejpam-634	46	15	450	450	NUM
ejpam-634	46	16	=	=	SYM
ejpam-634	46	17	p	p	PROPN
ejpam-634	46	18	�	�	PROPN
ejpam-634	46	19	ln	ln	NOUN
ejpam-634	46	20	e−	e−	PROPN
ejpam-634	46	21	1	1	NUM
ejpam-634	46	22	2	2	NUM
ejpam-634	46	23	(	(	PUNCT
ejpam-634	46	24	(	(	PUNCT
ejpam-634	46	25	x−µ)/δ)2	x−µ)/δ)2	NOUN
ejpam-634	46	26	≤	≤	NUM
ejpam-634	47	1	lnδ	lnδ	VERB
ejpam-634	47	2	p	p	PROPN
ejpam-634	47	3	2πy	2πy	PROPN
ejpam-634	47	4	�	�	X
ejpam-634	47	5	=	=	SYM
ejpam-634	47	6	p	p	PROPN
ejpam-634	47	7	�	�	PROPN
ejpam-634	47	8	(	(	PUNCT
ejpam-634	47	9	(	(	PUNCT
ejpam-634	47	10	x	x	SYM
ejpam-634	47	11	−µ)/δ)2	−µ)/δ)2	NOUN
ejpam-634	47	12	≥	≥	PUNCT
ejpam-634	48	1	−2	−2	NOUN
ejpam-634	48	2	lnδ	lnδ	NOUN
ejpam-634	48	3	p	p	PROPN
ejpam-634	48	4	2πy	2πy	PROPN
ejpam-634	48	5	�	�	X
ejpam-634	49	1	=	=	SYM
ejpam-634	49	2	p	p	PROPN
ejpam-634	49	3	�	�	PROPN
ejpam-634	49	4	(	(	PUNCT
ejpam-634	49	5	x	x	X
ejpam-634	49	6	−µ)/δ	−µ)/δ	VERB
ejpam-634	49	7	≤	≤	NOUN
ejpam-634	49	8	−	−	PROPN
ejpam-634	50	1	æ	æ	X
ejpam-634	50	2	−2	−2	NOUN
ejpam-634	50	3	lnδ	lnδ	NOUN
ejpam-634	50	4	p	p	PROPN
ejpam-634	50	5	2πy	2πy	PROPN
ejpam-634	50	6	�	�	PROPN
ejpam-634	50	7	+	+	CCONJ
ejpam-634	50	8	p	p	PROPN
ejpam-634	50	9	�	�	PROPN
ejpam-634	50	10	(	(	PUNCT
ejpam-634	50	11	x	x	PROPN
ejpam-634	50	12	−µ)/δ	−µ)/δ	PROPN
ejpam-634	50	13	≥	≥	NUM
ejpam-634	51	1	æ	æ	NOUN
ejpam-634	52	1	−2	−2	NOUN
ejpam-634	53	1	lnδ	lnδ	NOUN
ejpam-634	53	2	p	p	PROPN
ejpam-634	53	3	2πy	2πy	PROPN
ejpam-634	53	4	�	�	PROPN
ejpam-634	53	5	=	=	SYM
ejpam-634	53	6	2p	2p	NUM
ejpam-634	53	7	�	�	PROPN
ejpam-634	53	8	(	(	PUNCT
ejpam-634	53	9	x	x	PROPN
ejpam-634	53	10	−µ)/δ	−µ)/δ	PROPN
ejpam-634	54	1	≥	≥	NUM
ejpam-634	54	2	æ	æ	NOUN
ejpam-634	54	3	−2	−2	NOUN
ejpam-634	54	4	lnδ	lnδ	NOUN
ejpam-634	54	5	p	p	PROPN
ejpam-634	54	6	2πy	2πy	PROPN
ejpam-634	54	7	�	�	PROPN
ejpam-634	54	8	=	=	SYM
ejpam-634	54	9	2	2	NUM
ejpam-634	54	10	�	�	PROPN
ejpam-634	54	11	1−	1−	NUM
ejpam-634	54	12	p	p	PROPN
ejpam-634	54	13	�	�	PROPN
ejpam-634	54	14	(	(	PUNCT
ejpam-634	54	15	x	x	X
ejpam-634	54	16	−µ)/δ	−µ)/δ	X
ejpam-634	54	17	≤	≤	PUNCT
ejpam-634	55	1	æ	æ	PUNCT
ejpam-634	56	1	−2	−2	NOUN
ejpam-634	57	1	lnδ	lnδ	NOUN
ejpam-634	57	2	p	p	PROPN
ejpam-634	57	3	2πy	2πy	PROPN
ejpam-634	57	4	�	�	PROPN
ejpam-634	57	5	�	�	PROPN
ejpam-634	57	6	=	=	SYM
ejpam-634	57	7	2	2	NUM
ejpam-634	57	8	�	�	PROPN
ejpam-634	57	9	1−	1−	NUM
ejpam-634	57	10	p	p	PROPN
ejpam-634	57	11	�	�	PROPN
ejpam-634	57	12	z	z	NOUN
ejpam-634	57	13	≤	≤	NUM
ejpam-634	58	1	æ	æ	PUNCT
ejpam-634	59	1	−2	−2	NOUN
ejpam-634	60	1	lnδ	lnδ	NOUN
ejpam-634	60	2	p	p	PROPN
ejpam-634	60	3	2πy	2πy	PROPN
ejpam-634	60	4	�	�	PROPN
ejpam-634	60	5	�	�	PROPN
ejpam-634	60	6	=	=	SYM
ejpam-634	60	7	2	2	NUM
ejpam-634	60	8	�	�	PROPN
ejpam-634	60	9	1−φ	1−φ	NUM
ejpam-634	60	10	�	�	PROPN
ejpam-634	60	11	æ	æ	NOUN
ejpam-634	60	12	−2	−2	NOUN
ejpam-634	61	1	lnδ	lnδ	NOUN
ejpam-634	61	2	p	p	PROPN
ejpam-634	61	3	2πy	2πy	PROPN
ejpam-634	61	4	�	�	PROPN
ejpam-634	61	5	�	�	PROPN
ejpam-634	61	6	(	(	PUNCT
ejpam-634	61	7	6	6	NUM
ejpam-634	61	8	)	)	PUNCT
ejpam-634	61	9	the	the	DET
ejpam-634	61	10	complete	complete	ADJ
ejpam-634	61	11	cdf	cdf	PROPN
ejpam-634	61	12	is	be	AUX
ejpam-634	61	13	f(y	f(y	NOUN
ejpam-634	61	14	)	)	PUNCT
ejpam-634	61	15	=	=	PUNCT
ejpam-634	62	1			PROPN
ejpam-634	62	2			PRON
ejpam-634	62	3			NOUN
ejpam-634	62	4	0	0	NUM
ejpam-634	62	5	y	y	PROPN
ejpam-634	62	6	≤	≤	NUM
ejpam-634	62	7	0	0	NUM
ejpam-634	62	8	2	2	NUM
ejpam-634	62	9	h	h	PROPN
ejpam-634	62	10	1−φ	1−φ	NUM
ejpam-634	62	11	�	�	PROPN
ejpam-634	62	12	p	p	NOUN
ejpam-634	62	13	−2	−2	NOUN
ejpam-634	62	14	lnδ	lnδ	NOUN
ejpam-634	62	15	p	p	PROPN
ejpam-634	62	16	2πy	2πy	NOUN
ejpam-634	62	17	�	�	PROPN
ejpam-634	62	18	i	i	PRON
ejpam-634	62	19	0	0	NUM
ejpam-634	62	20	<	<	X
ejpam-634	62	21	y	y	X
ejpam-634	62	22	<	<	X
ejpam-634	62	23	1	1	NUM
ejpam-634	62	24	δ	δ	PROPN
ejpam-634	62	25	p	p	NOUN
ejpam-634	62	26	2π	2π	PROPN
ejpam-634	62	27	1	1	NUM
ejpam-634	62	28	y	y	PROPN
ejpam-634	62	29	≥	≥	NUM
ejpam-634	62	30	1	1	NUM
ejpam-634	62	31	δ	δ	PROPN
ejpam-634	62	32	p	p	NOUN
ejpam-634	62	33	2π	2π	PROPN
ejpam-634	62	34	.	.	PUNCT
ejpam-634	63	1	(	(	PUNCT
ejpam-634	63	2	7	7	X
ejpam-634	63	3	)	)	PUNCT
ejpam-634	63	4	for	for	ADP
ejpam-634	63	5	the	the	DET
ejpam-634	63	6	original	original	ADJ
ejpam-634	63	7	data	datum	NOUN
ejpam-634	63	8	,	,	PUNCT
ejpam-634	63	9	we	we	PRON
ejpam-634	63	10	have	have	VERB
ejpam-634	63	11	x	x	PROPN
ejpam-634	63	12	∈	∈	PROPN
ejpam-634	63	13	r.	r.	PROPN
ejpam-634	63	14	with	with	ADP
ejpam-634	63	15	the	the	DET
ejpam-634	63	16	gaussian	gaussian	ADJ
ejpam-634	63	17	density	density	NOUN
ejpam-634	63	18	function	function	NOUN
ejpam-634	63	19	,	,	PUNCT
ejpam-634	63	20	we	we	PRON
ejpam-634	63	21	know	know	VERB
ejpam-634	63	22	that	that	SCONJ
ejpam-634	63	23	l	l	PROPN
ejpam-634	64	1	i	i	PRON
ejpam-634	64	2	m	m	VERB
ejpam-634	64	3	x→±∞	x→±∞	PROPN
ejpam-634	64	4	f	f	PROPN
ejpam-634	64	5	(	(	PUNCT
ejpam-634	64	6	x	x	X
ejpam-634	64	7	)	)	PUNCT
ejpam-634	64	8	=	=	SYM
ejpam-634	64	9	0	0	NUM
ejpam-634	64	10	,	,	PUNCT
ejpam-634	64	11	and	and	CCONJ
ejpam-634	64	12	f	f	PROPN
ejpam-634	64	13	(	(	PUNCT
ejpam-634	64	14	µ	µ	NOUN
ejpam-634	64	15	)	)	PUNCT
ejpam-634	64	16	=	=	SYM
ejpam-634	64	17	1	1	NUM
ejpam-634	64	18	δ	δ	NOUN
ejpam-634	64	19	p	p	NOUN
ejpam-634	64	20	2π	2π	NOUN
ejpam-634	64	21	e−	e−	PROPN
ejpam-634	64	22	1	1	NUM
ejpam-634	64	23	2	2	NUM
ejpam-634	64	24	(	(	PUNCT
ejpam-634	64	25	(	(	PUNCT
ejpam-634	64	26	µ−µ)/δ)2	µ−µ)/δ)2	ADJ
ejpam-634	64	27	=	=	SYM
ejpam-634	64	28	1	1	NUM
ejpam-634	64	29	δ	δ	NOUN
ejpam-634	64	30	p	p	NOUN
ejpam-634	64	31	2π	2π	PROPN
ejpam-634	64	32	.	.	PUNCT
ejpam-634	65	1	thus	thus	ADV
ejpam-634	65	2	,	,	PUNCT
ejpam-634	65	3	our	our	PRON
ejpam-634	65	4	random	random	ADJ
ejpam-634	65	5	variable	variable	NOUN
ejpam-634	65	6	y	y	PROPN
ejpam-634	65	7	has	have	VERB
ejpam-634	65	8	support	support	NOUN
ejpam-634	65	9	(	(	PUNCT
ejpam-634	65	10	0,1/(δ	0,1/(δ	ADP
ejpam-634	65	11	p	p	ADJ
ejpam-634	65	12	2π	2π	NOUN
ejpam-634	65	13	)	)	PUNCT
ejpam-634	65	14	]	]	PUNCT
ejpam-634	65	15	.	.	PUNCT
ejpam-634	66	1	the	the	DET
ejpam-634	66	2	following	follow	VERB
ejpam-634	66	3	calculations	calculation	NOUN
ejpam-634	66	4	show	show	VERB
ejpam-634	66	5	that	that	SCONJ
ejpam-634	66	6	some	some	DET
ejpam-634	66	7	features	feature	NOUN
ejpam-634	66	8	of	of	ADP
ejpam-634	66	9	density	density	NOUN
ejpam-634	66	10	functions	function	NOUN
ejpam-634	66	11	are	be	AUX
ejpam-634	66	12	satisfied	satisfied	ADJ
ejpam-634	66	13	by	by	ADP
ejpam-634	66	14	(	(	PUNCT
ejpam-634	66	15	7	7	NUM
ejpam-634	66	16	)	)	PUNCT
ejpam-634	66	17	.	.	PUNCT
ejpam-634	67	1	f(0	f(0	NOUN
ejpam-634	67	2	)	)	PUNCT
ejpam-634	67	3	=	=	SYM
ejpam-634	67	4	2	2	NUM
ejpam-634	67	5	�	�	PROPN
ejpam-634	67	6	1−φ	1−φ	NUM
ejpam-634	67	7	�	�	PROPN
ejpam-634	67	8	p	p	NOUN
ejpam-634	67	9	−2	−2	NOUN
ejpam-634	68	1	lnδ	lnδ	NOUN
ejpam-634	68	2	p	p	PROPN
ejpam-634	68	3	2π	2π	PROPN
ejpam-634	68	4	·	·	PUNCT
ejpam-634	68	5	0	0	NUM
ejpam-634	68	6	�	�	PROPN
ejpam-634	68	7	�	�	PROPN
ejpam-634	68	8	=	=	SYM
ejpam-634	68	9	2	2	NUM
ejpam-634	68	10	h	h	NOUN
ejpam-634	68	11	1−φ	1−φ	NUM
ejpam-634	68	12	�	�	PROPN
ejpam-634	68	13	p	p	NOUN
ejpam-634	68	14	−2	−2	NOUN
ejpam-634	68	15	ln0	ln0	PROPN
ejpam-634	68	16	�	�	PROPN
ejpam-634	68	17	i	i	NOUN
ejpam-634	68	18	=	=	SYM
ejpam-634	68	19	2	2	NUM
ejpam-634	68	20	h	h	PROPN
ejpam-634	68	21	1−φ	1−φ	NUM
ejpam-634	68	22	�	�	PROPN
ejpam-634	68	23	p	p	NOUN
ejpam-634	68	24	−2	−2	NOUN
ejpam-634	68	25	·	·	PUNCT
ejpam-634	69	1	−∞	−∞	PUNCT
ejpam-634	69	2	�	�	NOUN
ejpam-634	69	3	i	i	NOUN
ejpam-634	69	4	=	=	SYM
ejpam-634	69	5	2	2	NUM
ejpam-634	70	1	[	[	X
ejpam-634	70	2	1−φ(∞	1−φ(∞	NUM
ejpam-634	70	3	)	)	PUNCT
ejpam-634	70	4	]	]	PUNCT
ejpam-634	71	1	=	=	PUNCT
ejpam-634	71	2	2[1−	2[1−	NOUN
ejpam-634	71	3	1	1	X
ejpam-634	71	4	]	]	PUNCT
ejpam-634	71	5	=	=	SYM
ejpam-634	71	6	0	0	PUNCT
ejpam-634	71	7	f	f	PROPN
ejpam-634	71	8	�	�	PROPN
ejpam-634	71	9	1	1	NUM
ejpam-634	71	10	δ	δ	PROPN
ejpam-634	71	11	p	p	PROPN
ejpam-634	71	12	2π	2π	PROPN
ejpam-634	71	13	�	�	PROPN
ejpam-634	71	14	=	=	SYM
ejpam-634	71	15	2	2	NUM
ejpam-634	71	16			NOUN
ejpam-634	71	17	1−φ	1−φ	VERB
ejpam-634	71	18	r	r	NOUN
ejpam-634	71	19	−2	−2	NOUN
ejpam-634	72	1	lnδ	lnδ	NOUN
ejpam-634	72	2	p	p	NOUN
ejpam-634	72	3	2π	2π	NOUN
ejpam-634	72	4	·	·	PUNCT
ejpam-634	72	5	1	1	NUM
ejpam-634	72	6	δ	δ	NOUN
ejpam-634	72	7	p	p	NOUN
ejpam-634	72	8	2π	2π	NOUN
ejpam-634	72	9	!	!	PUNCT
ejpam-634	73	1			PROPN
ejpam-634	73	2	=	=	ADJ
ejpam-634	73	3	2	2	NUM
ejpam-634	73	4	h	h	PROPN
ejpam-634	73	5	1−φ	1−φ	NUM
ejpam-634	73	6	�	�	PROPN
ejpam-634	73	7	p	p	NOUN
ejpam-634	73	8	−2	−2	PROPN
ejpam-634	73	9	ln1	ln1	NOUN
ejpam-634	73	10	�	�	PROPN
ejpam-634	73	11	i	i	NOUN
ejpam-634	73	12	=	=	SYM
ejpam-634	73	13	2	2	NUM
ejpam-634	73	14	h	h	NOUN
ejpam-634	73	15	1−φ	1−φ	NUM
ejpam-634	73	16	(	(	PUNCT
ejpam-634	73	17	p	p	NOUN
ejpam-634	73	18	−2	−2	NOUN
ejpam-634	73	19	·	·	PUNCT
ejpam-634	73	20	0	0	X
ejpam-634	73	21	)	)	PUNCT
ejpam-634	73	22	i	i	NOUN
ejpam-634	73	23	=	=	NOUN
ejpam-634	73	24	2[1−φ(0	2[1−φ(0	NUM
ejpam-634	73	25	)	)	PUNCT
ejpam-634	73	26	]	]	PUNCT
ejpam-634	74	1	=	=	PUNCT
ejpam-634	74	2	2[1−	2[1−	NOUN
ejpam-634	74	3	0.5	0.5	NUM
ejpam-634	74	4	]	]	PUNCT
ejpam-634	74	5	=	=	SYM
ejpam-634	74	6	1	1	NUM
ejpam-634	74	7	we	we	PRON
ejpam-634	74	8	can	can	AUX
ejpam-634	74	9	use	use	VERB
ejpam-634	74	10	the	the	DET
ejpam-634	74	11	random	random	ADJ
ejpam-634	74	12	variable	variable	NOUN
ejpam-634	74	13	y	y	PROPN
ejpam-634	74	14	to	to	PART
ejpam-634	74	15	test	test	VERB
ejpam-634	74	16	if	if	SCONJ
ejpam-634	74	17	a	a	DET
ejpam-634	74	18	given	give	VERB
ejpam-634	74	19	sample	sample	NOUN
ejpam-634	74	20	follows	follow	VERB
ejpam-634	74	21	a	a	DET
ejpam-634	74	22	normal	normal	ADJ
ejpam-634	74	23	distribution	distribution	NOUN
ejpam-634	74	24	.	.	PUNCT
ejpam-634	75	1	after	after	ADP
ejpam-634	75	2	transformation	transformation	NOUN
ejpam-634	75	3	with	with	ADP
ejpam-634	75	4	the	the	DET
ejpam-634	75	5	gaussian	gaussian	ADJ
ejpam-634	75	6	density	density	NOUN
ejpam-634	75	7	function	function	NOUN
ejpam-634	75	8	,	,	PUNCT
ejpam-634	75	9	any	any	DET
ejpam-634	75	10	data	datum	NOUN
ejpam-634	75	11	generated	generate	VERB
ejpam-634	75	12	from	from	ADP
ejpam-634	75	13	a	a	DET
ejpam-634	75	14	normal	normal	ADJ
ejpam-634	75	15	distribution	distribution	NOUN
ejpam-634	75	16	should	should	AUX
ejpam-634	75	17	have	have	AUX
ejpam-634	75	18	mean	mean	VERB
ejpam-634	75	19	1/(2	1/(2	NUM
ejpam-634	75	20	p	p	NOUN
ejpam-634	75	21	πδ	πδ	NOUN
ejpam-634	75	22	)	)	PUNCT
ejpam-634	75	23	and	and	CCONJ
ejpam-634	75	24	variance	variance	NOUN
ejpam-634	75	25	(	(	PUNCT
ejpam-634	75	26	2−p3)/(4	2−p3)/(4	NOUN
ejpam-634	75	27	p	p	NOUN
ejpam-634	75	28	3πδ2	3πδ2	NUM
ejpam-634	75	29	)	)	PUNCT
ejpam-634	75	30	.	.	PUNCT
ejpam-634	76	1	these	these	DET
ejpam-634	76	2	facts	fact	NOUN
ejpam-634	76	3	are	be	AUX
ejpam-634	76	4	the	the	DET
ejpam-634	76	5	basis	basis	NOUN
ejpam-634	76	6	of	of	ADP
ejpam-634	76	7	our	our	PRON
ejpam-634	76	8	proposed	propose	VERB
ejpam-634	76	9	normality	normality	NOUN
ejpam-634	76	10	test	test	NOUN
ejpam-634	76	11	.	.	PUNCT
ejpam-634	77	1	in	in	ADP
ejpam-634	77	2	our	our	PRON
ejpam-634	77	3	derivation	derivation	NOUN
ejpam-634	77	4	here	here	ADV
ejpam-634	77	5	,	,	PUNCT
ejpam-634	77	6	we	we	PRON
ejpam-634	77	7	have	have	AUX
ejpam-634	77	8	relied	rely	VERB
ejpam-634	77	9	upon	upon	SCONJ
ejpam-634	77	10	the	the	DET
ejpam-634	77	11	transformation	transformation	NOUN
ejpam-634	77	12	of	of	ADP
ejpam-634	77	13	a	a	DET
ejpam-634	77	14	data	data	NOUN
ejpam-634	77	15	sample	sample	NOUN
ejpam-634	77	16	,	,	PUNCT
ejpam-634	77	17	using	use	VERB
ejpam-634	77	18	unknown	unknown	ADJ
ejpam-634	77	19	population	population	NOUN
ejpam-634	77	20	parameters	parameter	NOUN
ejpam-634	77	21	µ	µ	X
ejpam-634	77	22	and	and	CCONJ
ejpam-634	77	23	δ	δ	PROPN
ejpam-634	77	24	.	.	PUNCT
ejpam-634	78	1	while	while	SCONJ
ejpam-634	78	2	these	these	DET
ejpam-634	78	3	unknown	unknown	ADJ
ejpam-634	78	4	parameters	parameter	NOUN
ejpam-634	78	5	cancel	cancel	VERB
ejpam-634	78	6	out	out	ADP
ejpam-634	78	7	in	in	ADP
ejpam-634	78	8	the	the	DET
ejpam-634	78	9	calculation	calculation	NOUN
ejpam-634	78	10	of	of	ADP
ejpam-634	78	11	our	our	PRON
ejpam-634	78	12	critical	critical	ADJ
ejpam-634	78	13	value	value	NOUN
ejpam-634	78	14	,	,	PUNCT
ejpam-634	78	15	the	the	DET
ejpam-634	78	16	sample	sample	NOUN
ejpam-634	78	17	test	test	NOUN
ejpam-634	78	18	statistic	statistic	NOUN
ejpam-634	78	19	does	do	AUX
ejpam-634	78	20	rely	rely	VERB
ejpam-634	78	21	on	on	ADP
ejpam-634	78	22	the	the	DET
ejpam-634	78	23	conversion	conversion	NOUN
ejpam-634	78	24	to	to	ADP
ejpam-634	78	25	y	y	PROPN
ejpam-634	78	26	.	.	PUNCT
ejpam-634	79	1	here	here	ADV
ejpam-634	79	2	,	,	PUNCT
ejpam-634	79	3	we	we	PRON
ejpam-634	79	4	muse	muse	VERB
ejpam-634	79	5	use	use	VERB
ejpam-634	79	6	the	the	DET
ejpam-634	79	7	sample	sample	NOUN
ejpam-634	79	8	statistics	statistic	NOUN
ejpam-634	79	9	x	x	PUNCT
ejpam-634	79	10	and	and	CCONJ
ejpam-634	79	11	s.	s.	PROPN
ejpam-634	79	12	our	our	PRON
ejpam-634	79	13	hypotheses	hypothesis	NOUN
ejpam-634	79	14	h0	h0	NOUN
ejpam-634	79	15	:	:	PUNCT
ejpam-634	79	16	data	datum	NOUN
ejpam-634	79	17	are	be	AUX
ejpam-634	79	18	normally	normally	ADV
ejpam-634	79	19	distributed	distribute	VERB
ejpam-634	79	20	,	,	PUNCT
ejpam-634	79	21	vs.	vs.	X
ejpam-634	79	22	h1	h1	PROPN
ejpam-634	79	23	:	:	PUNCT
ejpam-634	79	24	data	datum	NOUN
ejpam-634	79	25	are	be	AUX
ejpam-634	79	26	not	not	PART
ejpam-634	79	27	normally	normally	ADV
ejpam-634	79	28	distributed	distribute	VERB
ejpam-634	79	29	,	,	PUNCT
ejpam-634	79	30	o.	o.	PROPN
ejpam-634	79	31	akbilgiç	akbilgiç	NOUN
ejpam-634	79	32	,	,	PUNCT
ejpam-634	79	33	a.	a.	PROPN
ejpam-634	79	34	howe	howe	PROPN
ejpam-634	79	35	/	/	SYM
ejpam-634	79	36	eur	eur	PROPN
ejpam-634	79	37	.	.	PUNCT
ejpam-634	80	1	j.	j.	PROPN
ejpam-634	80	2	pure	pure	PROPN
ejpam-634	80	3	appl	appl	PROPN
ejpam-634	80	4	.	.	PROPN
ejpam-634	80	5	math	math	PROPN
ejpam-634	80	6	,	,	PUNCT
ejpam-634	80	7	4	4	NUM
ejpam-634	80	8	(	(	PUNCT
ejpam-634	80	9	2011	2011	NUM
ejpam-634	80	10	)	)	PUNCT
ejpam-634	80	11	,	,	PUNCT
ejpam-634	80	12	448	448	NUM
ejpam-634	80	13	-	-	SYM
ejpam-634	80	14	454	454	NUM
ejpam-634	80	15	451	451	NUM
ejpam-634	80	16	can	can	AUX
ejpam-634	80	17	be	be	AUX
ejpam-634	80	18	rewritten	rewrite	VERB
ejpam-634	80	19	in	in	ADP
ejpam-634	80	20	a	a	DET
ejpam-634	80	21	more	more	ADV
ejpam-634	80	22	precise	precise	ADJ
ejpam-634	80	23	representation	representation	NOUN
ejpam-634	80	24	that	that	PRON
ejpam-634	80	25	lends	lend	VERB
ejpam-634	80	26	itself	itself	PRON
ejpam-634	80	27	to	to	ADP
ejpam-634	80	28	a	a	DET
ejpam-634	80	29	test	test	NOUN
ejpam-634	80	30	the	the	DET
ejpam-634	80	31	relies	relie	NOUN
ejpam-634	80	32	on	on	ADP
ejpam-634	80	33	both	both	DET
ejpam-634	80	34	(	(	PUNCT
ejpam-634	80	35	3	3	NUM
ejpam-634	80	36	)	)	PUNCT
ejpam-634	80	37	and	and	CCONJ
ejpam-634	80	38	(	(	PUNCT
ejpam-634	80	39	5	5	NUM
ejpam-634	80	40	)	)	PUNCT
ejpam-634	80	41	.	.	PUNCT
ejpam-634	81	1	these	these	DET
ejpam-634	81	2	hypotheses	hypothesis	NOUN
ejpam-634	81	3	and	and	CCONJ
ejpam-634	81	4	the	the	DET
ejpam-634	81	5	one	one	NUM
ejpam-634	81	6	-	-	PUNCT
ejpam-634	81	7	sided	sided	ADJ
ejpam-634	81	8	test	test	NOUN
ejpam-634	81	9	a	a	PRON
ejpam-634	81	10	,	,	PUNCT
ejpam-634	81	11	are	be	AUX
ejpam-634	81	12	as	as	SCONJ
ejpam-634	81	13	follows	follow	NOUN
ejpam-634	81	14	.	.	PUNCT
ejpam-634	82	1	h0	h0	NOUN
ejpam-634	82	2	:	:	PUNCT
ejpam-634	82	3	µsample	µsample	ADV
ejpam-634	82	4	=	=	SYM
ejpam-634	83	1	1/(2	1/(2	NUM
ejpam-634	83	2	p	p	NOUN
ejpam-634	83	3	πδ	πδ	NOUN
ejpam-634	83	4	)	)	PUNCT
ejpam-634	83	5	vs	vs	ADP
ejpam-634	83	6	h1	h1	NOUN
ejpam-634	83	7	:	:	PUNCT
ejpam-634	83	8	µsample	µsample	ADJ
ejpam-634	83	9	6=	6=	ADP
ejpam-634	83	10	1/(2	1/(2	NUM
ejpam-634	83	11	p	p	NOUN
ejpam-634	83	12	πδ	πδ	NOUN
ejpam-634	83	13	)	)	PUNCT
ejpam-634	83	14	a=	a=	NOUN
ejpam-634	83	15	µsample−µ0	µsample−µ0	X
ejpam-634	83	16	δ0	δ0	NOUN
ejpam-634	83	17	=	=	PUNCT
ejpam-634	83	18	µsample−	µsample−	NOUN
ejpam-634	83	19	1/(2	1/(2	NUM
ejpam-634	83	20	p	p	NOUN
ejpam-634	83	21	πδ	πδ	NOUN
ejpam-634	83	22	)	)	PUNCT
ejpam-634	84	1	p	p	NOUN
ejpam-634	84	2	(	(	PUNCT
ejpam-634	84	3	2−p3)/(4	2−p3)/(4	NOUN
ejpam-634	84	4	p	p	NOUN
ejpam-634	84	5	3πδ2	3πδ2	NUM
ejpam-634	84	6	)	)	PUNCT
ejpam-634	84	7	(	(	PUNCT
ejpam-634	84	8	8)	8)	NUM
ejpam-634	84	9	the	the	DET
ejpam-634	84	10	upper	upper	ADJ
ejpam-634	84	11	bound	bound	NOUN
ejpam-634	84	12	of	of	ADP
ejpam-634	84	13	the	the	DET
ejpam-634	84	14	(	(	PUNCT
ejpam-634	84	15	1−α)%	1−α)%	NUM
ejpam-634	84	16	confidence	confidence	NOUN
ejpam-634	84	17	interval	interval	NOUN
ejpam-634	84	18	is	be	AUX
ejpam-634	84	19	found	find	VERB
ejpam-634	84	20	below	below	ADP
ejpam-634	84	21	with	with	ADP
ejpam-634	84	22	respect	respect	NOUN
ejpam-634	84	23	to	to	ADP
ejpam-634	84	24	0	0	NUM
ejpam-634	84	25	<	<	X
ejpam-634	84	26	1/(2	1/(2	NUM
ejpam-634	84	27	p	p	X
ejpam-634	84	28	πδ	πδ	NOUN
ejpam-634	84	29	)	)	PUNCT
ejpam-634	84	30	<	<	X
ejpam-634	84	31	yup	yup	INTJ
ejpam-634	84	32	.	.	PUNCT
ejpam-634	85	1	p(0≤	p(0≤	PROPN
ejpam-634	85	2	y	y	PROPN
ejpam-634	85	3	≤	≤	NUM
ejpam-634	85	4	yup	yup	NOUN
ejpam-634	85	5	)	)	PUNCT
ejpam-634	85	6	=	=	SYM
ejpam-634	85	7	1−α→	1−α→	NUM
ejpam-634	85	8	f(yup)−	f(yup)−	ADJ
ejpam-634	85	9	f(0	f(0	NOUN
ejpam-634	85	10	)	)	PUNCT
ejpam-634	85	11	=	=	SYM
ejpam-634	85	12	1−α	1−α	NUM
ejpam-634	85	13	→	→	SYM
ejpam-634	85	14	2	2	NUM
ejpam-634	85	15	�	�	PROPN
ejpam-634	85	16	1−φ	1−φ	NUM
ejpam-634	85	17	�	�	PROPN
ejpam-634	85	18	æ	æ	NOUN
ejpam-634	85	19	−2	−2	NOUN
ejpam-634	86	1	lnδ	lnδ	NOUN
ejpam-634	86	2	p	p	PROPN
ejpam-634	86	3	2πyup	2πyup	NUM
ejpam-634	86	4	�	�	PROPN
ejpam-634	86	5	�	�	PROPN
ejpam-634	86	6	−	−	PROPN
ejpam-634	86	7	0=	0=	NOUN
ejpam-634	86	8	1−α	1−α	NUM
ejpam-634	86	9	→	→	SYM
ejpam-634	86	10	φ	φ	PROPN
ejpam-634	86	11	�	�	PROPN
ejpam-634	86	12	æ	æ	PROPN
ejpam-634	86	13	−2	−2	NOUN
ejpam-634	87	1	lnδ	lnδ	NOUN
ejpam-634	87	2	p	p	PROPN
ejpam-634	87	3	2πyup	2πyup	NUM
ejpam-634	87	4	�	�	X
ejpam-634	87	5	=	=	SYM
ejpam-634	87	6	1+α	1+α	NUM
ejpam-634	87	7	2	2	NUM
ejpam-634	87	8	→	→	SYM
ejpam-634	87	9	æ	æ	X
ejpam-634	88	1	−2	−2	NOUN
ejpam-634	88	2	lnδ	lnδ	NOUN
ejpam-634	88	3	p	p	PROPN
ejpam-634	88	4	2πyup	2πyup	NUM
ejpam-634	88	5	=	=	SYM
ejpam-634	88	6	φ	φ	PROPN
ejpam-634	88	7	−1	−1	NOUN
ejpam-634	88	8	�	�	PROPN
ejpam-634	88	9	1+α	1+α	NUM
ejpam-634	88	10	2	2	NUM
ejpam-634	88	11	�	�	PROPN
ejpam-634	88	12	→	→	SYM
ejpam-634	88	13	yup	yup	NOUN
ejpam-634	88	14	=	=	SYM
ejpam-634	88	15	1	1	NUM
ejpam-634	88	16	δ	δ	NOUN
ejpam-634	88	17	p	p	PROPN
ejpam-634	88	18	2π	2π	PROPN
ejpam-634	88	19	exp	exp	NOUN
ejpam-634	88	20	�	�	PROPN
ejpam-634	88	21	−1	−1	NOUN
ejpam-634	88	22	2	2	NUM
ejpam-634	88	23	φ−2	φ−2	PROPN
ejpam-634	88	24	�	�	PROPN
ejpam-634	88	25	1+α	1+α	NUM
ejpam-634	88	26	2	2	NUM
ejpam-634	88	27	�	�	PROPN
ejpam-634	88	28	�	�	PROPN
ejpam-634	88	29	(	(	PUNCT
ejpam-634	88	30	9	9	NUM
ejpam-634	88	31	)	)	PUNCT
ejpam-634	88	32	consequently	consequently	ADV
ejpam-634	88	33	,	,	PUNCT
ejpam-634	88	34	the	the	DET
ejpam-634	88	35	90	90	NUM
ejpam-634	88	36	%	%	NOUN
ejpam-634	88	37	confidence	confidence	NOUN
ejpam-634	88	38	interval	interval	NOUN
ejpam-634	88	39	,	,	PUNCT
ejpam-634	88	40	for	for	ADP
ejpam-634	88	41	example	example	NOUN
ejpam-634	88	42	,	,	PUNCT
ejpam-634	88	43	is	be	AUX
ejpam-634	88	44	expressed	express	VERB
ejpam-634	88	45	as	as	ADP
ejpam-634	88	46	(	(	PUNCT
ejpam-634	88	47	0,0.3958	0,0.3958	PROPN
ejpam-634	88	48	/	/	SYM
ejpam-634	88	49	δ	δ	PROPN
ejpam-634	88	50	)	)	PUNCT
ejpam-634	88	51	.	.	PUNCT
ejpam-634	89	1	these	these	DET
ejpam-634	89	2	boundaries	boundary	NOUN
ejpam-634	89	3	are	be	AUX
ejpam-634	89	4	used	use	VERB
ejpam-634	89	5	to	to	PART
ejpam-634	89	6	determine	determine	VERB
ejpam-634	89	7	the	the	DET
ejpam-634	89	8	comparison	comparison	NOUN
ejpam-634	89	9	criteria	criterion	NOUN
ejpam-634	89	10	of	of	ADP
ejpam-634	89	11	the	the	DET
ejpam-634	89	12	test	test	NOUN
ejpam-634	89	13	statistic	statistic	NOUN
ejpam-634	89	14	,	,	PUNCT
ejpam-634	89	15	as	as	SCONJ
ejpam-634	89	16	shown	show	VERB
ejpam-634	89	17	in	in	ADP
ejpam-634	89	18	(	(	PUNCT
ejpam-634	89	19	10	10	NUM
ejpam-634	89	20	)	)	PUNCT
ejpam-634	89	21	.	.	PUNCT
ejpam-634	90	1	a0	a0	PROPN
ejpam-634	90	2	=	=	SYM
ejpam-634	90	3	exp	exp	PROPN
ejpam-634	90	4	�	�	PROPN
ejpam-634	90	5	−1	−1	NOUN
ejpam-634	90	6	2	2	NUM
ejpam-634	90	7	φ−2	φ−2	PROPN
ejpam-634	90	8	�	�	PROPN
ejpam-634	90	9	1+α	1+α	NUM
ejpam-634	90	10	2	2	NUM
ejpam-634	90	11	�	�	PROPN
ejpam-634	90	12	�	�	PROPN
ejpam-634	90	13	/	/	SYM
ejpam-634	90	14	�	�	PROPN
ejpam-634	90	15	δ	δ	PROPN
ejpam-634	90	16	p	p	PART
ejpam-634	90	17	2π	2π	PROPN
ejpam-634	90	18	�	�	PROPN
ejpam-634	90	19	−	−	ADP
ejpam-634	90	20	1/(2	1/(2	NUM
ejpam-634	90	21	p	p	NOUN
ejpam-634	90	22	πδ	πδ	NOUN
ejpam-634	90	23	)	)	PUNCT
ejpam-634	90	24	p	p	NOUN
ejpam-634	90	25	(	(	PUNCT
ejpam-634	90	26	2−p3)/(4	2−p3)/(4	NOUN
ejpam-634	90	27	p	p	NOUN
ejpam-634	90	28	3πδ2	3πδ2	NUM
ejpam-634	90	29	)	)	PUNCT
ejpam-634	90	30	=	=	SYM
ejpam-634	90	31	exp	exp	NOUN
ejpam-634	90	32	�	�	PROPN
ejpam-634	90	33	−1	−1	NOUN
ejpam-634	90	34	2	2	NUM
ejpam-634	90	35	φ−2	φ−2	PROPN
ejpam-634	90	36	�	�	PROPN
ejpam-634	90	37	1+α	1+α	NUM
ejpam-634	90	38	2	2	NUM
ejpam-634	90	39	�	�	PROPN
ejpam-634	90	40	�	�	PROPN
ejpam-634	90	41	/	/	SYM
ejpam-634	90	42	p	p	X
ejpam-634	90	43	2π−	2π−	PROPN
ejpam-634	90	44	1/(2	1/(2	NUM
ejpam-634	90	45	p	p	PROPN
ejpam-634	90	46	π	π	PROPN
ejpam-634	90	47	)	)	PUNCT
ejpam-634	90	48	p	p	NOUN
ejpam-634	90	49	(	(	PUNCT
ejpam-634	90	50	2−p3)/(4	2−p3)/(4	NOUN
ejpam-634	90	51	p	p	NOUN
ejpam-634	90	52	3π	3π	NOUN
ejpam-634	90	53	)	)	PUNCT
ejpam-634	90	54	(	(	PUNCT
ejpam-634	90	55	10	10	NUM
ejpam-634	90	56	)	)	PUNCT
ejpam-634	90	57	for	for	ADP
ejpam-634	90	58	α=	α=	NOUN
ejpam-634	90	59	0.10	0.10	NUM
ejpam-634	90	60	,	,	PUNCT
ejpam-634	90	61	we	we	PRON
ejpam-634	90	62	find	find	VERB
ejpam-634	90	63	this	this	DET
ejpam-634	90	64	quantity	quantity	NOUN
ejpam-634	90	65	to	to	PART
ejpam-634	90	66	be	be	AUX
ejpam-634	90	67	a0	a0	NOUN
ejpam-634	90	68	=	=	NOUN
ejpam-634	90	69	1.025	1.025	NUM
ejpam-634	90	70	.	.	PUNCT
ejpam-634	91	1	note	note	VERB
ejpam-634	91	2	that	that	SCONJ
ejpam-634	91	3	the	the	DET
ejpam-634	91	4	critical	critical	ADJ
ejpam-634	91	5	value	value	NOUN
ejpam-634	91	6	for	for	ADP
ejpam-634	91	7	our	our	PRON
ejpam-634	91	8	test	test	NOUN
ejpam-634	91	9	is	be	AUX
ejpam-634	91	10	hence	hence	ADV
ejpam-634	91	11	independent	independent	ADJ
ejpam-634	91	12	of	of	ADP
ejpam-634	91	13	the	the	DET
ejpam-634	91	14	values	value	NOUN
ejpam-634	91	15	µ	µ	X
ejpam-634	91	16	and	and	CCONJ
ejpam-634	91	17	δ	δ	PROPN
ejpam-634	91	18	,	,	PUNCT
ejpam-634	91	19	which	which	PRON
ejpam-634	91	20	we	we	PRON
ejpam-634	91	21	must	must	AUX
ejpam-634	91	22	estimate	estimate	VERB
ejpam-634	91	23	from	from	ADP
ejpam-634	91	24	our	our	PRON
ejpam-634	91	25	data	data	NOUN
ejpam-634	91	26	sample	sample	NOUN
ejpam-634	91	27	.	.	PUNCT
ejpam-634	92	1	for	for	ADP
ejpam-634	92	2	a	a	DET
ejpam-634	92	3	sample	sample	NOUN
ejpam-634	92	4	of	of	ADP
ejpam-634	92	5	size	size	NOUN
ejpam-634	92	6	n	n	CCONJ
ejpam-634	92	7	,	,	PUNCT
ejpam-634	92	8	the	the	DET
ejpam-634	92	9	test	test	NOUN
ejpam-634	92	10	statistic	statistic	NOUN
ejpam-634	92	11	is	be	AUX
ejpam-634	92	12	then	then	ADV
ejpam-634	92	13	given	give	VERB
ejpam-634	92	14	in	in	ADP
ejpam-634	92	15	(	(	PUNCT
ejpam-634	92	16	11	11	NUM
ejpam-634	92	17	)	)	PUNCT
ejpam-634	92	18	,	,	PUNCT
ejpam-634	92	19	where	where	SCONJ
ejpam-634	92	20	y	y	PROPN
ejpam-634	92	21	and	and	CCONJ
ejpam-634	92	22	sy	sy	PROPN
ejpam-634	92	23	indicate	indicate	VERB
ejpam-634	92	24	the	the	DET
ejpam-634	92	25	sample	sample	NOUN
ejpam-634	92	26	mean	mean	VERB
ejpam-634	92	27	and	and	CCONJ
ejpam-634	92	28	standard	standard	ADJ
ejpam-634	92	29	deviation	deviation	NOUN
ejpam-634	92	30	of	of	ADP
ejpam-634	92	31	the	the	DET
ejpam-634	92	32	transformed	transform	VERB
ejpam-634	92	33	data	datum	NOUN
ejpam-634	92	34	.	.	PUNCT
ejpam-634	93	1	asample	asample	PROPN
ejpam-634	93	2	=	=	PUNCT
ejpam-634	93	3	p	p	PROPN
ejpam-634	93	4	n	n	PRON
ejpam-634	93	5	�	�	PROPN
ejpam-634	93	6	y	y	PROPN
ejpam-634	94	1	−	−	PROPN
ejpam-634	94	2	1/(2	1/(2	NUM
ejpam-634	94	3	p	p	NOUN
ejpam-634	94	4	πsy	πsy	PROPN
ejpam-634	94	5	)	)	PUNCT
ejpam-634	94	6	�	�	PROPN
ejpam-634	94	7	sy	sy	PROPN
ejpam-634	94	8	(	(	PUNCT
ejpam-634	94	9	11	11	NUM
ejpam-634	94	10	)	)	PUNCT
ejpam-634	94	11	so	so	ADV
ejpam-634	94	12	,	,	PUNCT
ejpam-634	94	13	we	we	PRON
ejpam-634	94	14	can	can	AUX
ejpam-634	94	15	say	say	VERB
ejpam-634	94	16	that	that	SCONJ
ejpam-634	94	17	we	we	PRON
ejpam-634	94	18	are	be	AUX
ejpam-634	94	19	unable	unable	ADJ
ejpam-634	94	20	to	to	PART
ejpam-634	94	21	reject	reject	VERB
ejpam-634	94	22	the	the	DET
ejpam-634	94	23	null	null	ADJ
ejpam-634	94	24	hypothesis	hypothesis	NOUN
ejpam-634	94	25	,	,	PUNCT
ejpam-634	94	26	saying	say	VERB
ejpam-634	94	27	given	give	VERB
ejpam-634	94	28	data	datum	NOUN
ejpam-634	94	29	could	could	AUX
ejpam-634	94	30	be	be	AUX
ejpam-634	94	31	normally	normally	ADV
ejpam-634	94	32	distributed	distribute	VERB
ejpam-634	94	33	,	,	PUNCT
ejpam-634	94	34	if	if	SCONJ
ejpam-634	94	35	asample	asample	PROPN
ejpam-634	94	36	≤	≤	PROPN
ejpam-634	94	37	a0	a0	NOUN
ejpam-634	94	38	.	.	PUNCT
ejpam-634	95	1	similarly	similarly	ADV
ejpam-634	95	2	,	,	PUNCT
ejpam-634	95	3	we	we	PRON
ejpam-634	95	4	reject	reject	VERB
ejpam-634	95	5	the	the	DET
ejpam-634	95	6	null	null	ADJ
ejpam-634	95	7	hypothesis	hypothesis	NOUN
ejpam-634	95	8	if	if	SCONJ
ejpam-634	95	9	asample	asample	PROPN
ejpam-634	95	10	>	>	X
ejpam-634	95	11	a0	a0	PROPN
ejpam-634	95	12	;	;	PUNCT
ejpam-634	95	13	the	the	DET
ejpam-634	95	14	data	datum	NOUN
ejpam-634	95	15	are	be	AUX
ejpam-634	95	16	not	not	PART
ejpam-634	95	17	from	from	ADP
ejpam-634	95	18	a	a	DET
ejpam-634	95	19	gaussian	gaussian	ADJ
ejpam-634	95	20	distribution	distribution	NOUN
ejpam-634	95	21	.	.	PUNCT
ejpam-634	96	1	o.	o.	PROPN
ejpam-634	96	2	akbilgiç	akbilgiç	PROPN
ejpam-634	96	3	,	,	PUNCT
ejpam-634	96	4	a.	a.	PROPN
ejpam-634	96	5	howe	howe	PROPN
ejpam-634	96	6	/	/	SYM
ejpam-634	96	7	eur	eur	PROPN
ejpam-634	96	8	.	.	PUNCT
ejpam-634	97	1	j.	j.	PROPN
ejpam-634	97	2	pure	pure	PROPN
ejpam-634	97	3	appl	appl	PROPN
ejpam-634	97	4	.	.	PROPN
ejpam-634	97	5	math	math	PROPN
ejpam-634	97	6	,	,	PUNCT
ejpam-634	97	7	4	4	NUM
ejpam-634	97	8	(	(	PUNCT
ejpam-634	97	9	2011	2011	NUM
ejpam-634	97	10	)	)	PUNCT
ejpam-634	97	11	,	,	PUNCT
ejpam-634	97	12	448	448	NUM
ejpam-634	97	13	-	-	SYM
ejpam-634	97	14	454	454	NUM
ejpam-634	97	15	452	452	NUM
ejpam-634	97	16	3	3	NUM
ejpam-634	97	17	.	.	PUNCT
ejpam-634	98	1	simulation	simulation	NOUN
ejpam-634	98	2	studies	study	VERB
ejpam-634	98	3	the	the	DET
ejpam-634	98	4	efficiency	efficiency	NOUN
ejpam-634	98	5	and	and	CCONJ
ejpam-634	98	6	efficacy	efficacy	NOUN
ejpam-634	98	7	of	of	ADP
ejpam-634	98	8	a	a	DET
ejpam-634	98	9	hypothesis	hypothesis	NOUN
ejpam-634	98	10	test	test	NOUN
ejpam-634	98	11	is	be	AUX
ejpam-634	98	12	characterized	characterize	VERB
ejpam-634	98	13	by	by	ADP
ejpam-634	98	14	type	type	NOUN
ejpam-634	98	15	i	i	PRON
ejpam-634	98	16	and	and	CCONJ
ejpam-634	98	17	type	type	NOUN
ejpam-634	98	18	ii	ii	NOUN
ejpam-634	98	19	errors	error	NOUN
ejpam-634	98	20	.	.	PUNCT
ejpam-634	99	1	the	the	DET
ejpam-634	99	2	type	type	NOUN
ejpam-634	99	3	i	i	PRON
ejpam-634	99	4	error	error	NOUN
ejpam-634	99	5	is	be	AUX
ejpam-634	99	6	the	the	DET
ejpam-634	99	7	probability	probability	NOUN
ejpam-634	99	8	of	of	ADP
ejpam-634	99	9	falsely	falsely	ADV
ejpam-634	99	10	rejecting	reject	VERB
ejpam-634	99	11	the	the	DET
ejpam-634	99	12	null	null	ADJ
ejpam-634	99	13	hypothesis	hypothesis	NOUN
ejpam-634	99	14	saying	say	VERB
ejpam-634	99	15	the	the	DET
ejpam-634	99	16	given	give	VERB
ejpam-634	99	17	data	datum	NOUN
ejpam-634	99	18	is	be	AUX
ejpam-634	99	19	not	not	PART
ejpam-634	99	20	from	from	ADP
ejpam-634	99	21	normal	normal	ADJ
ejpam-634	99	22	distribution	distribution	NOUN
ejpam-634	99	23	when	when	SCONJ
ejpam-634	99	24	it	it	PRON
ejpam-634	99	25	really	really	ADV
ejpam-634	99	26	is	be	AUX
ejpam-634	99	27	.	.	PUNCT
ejpam-634	100	1	on	on	ADP
ejpam-634	100	2	the	the	DET
ejpam-634	100	3	other	other	ADJ
ejpam-634	100	4	hand	hand	NOUN
ejpam-634	100	5	,	,	PUNCT
ejpam-634	100	6	a	a	DET
ejpam-634	100	7	type	type	NOUN
ejpam-634	100	8	ii	ii	NOUN
ejpam-634	100	9	error	error	NOUN
ejpam-634	100	10	is	be	AUX
ejpam-634	100	11	to	to	PART
ejpam-634	100	12	falsely	falsely	ADV
ejpam-634	100	13	accept	accept	VERB
ejpam-634	100	14	the	the	DET
ejpam-634	100	15	null	null	ADJ
ejpam-634	100	16	hypothesis	hypothesis	NOUN
ejpam-634	100	17	when	when	SCONJ
ejpam-634	100	18	the	the	DET
ejpam-634	100	19	given	give	VERB
ejpam-634	100	20	data	datum	NOUN
ejpam-634	100	21	is	be	AUX
ejpam-634	100	22	actually	actually	ADV
ejpam-634	100	23	non	non	ADJ
ejpam-634	100	24	-	-	ADJ
ejpam-634	100	25	normal	normal	ADJ
ejpam-634	100	26	.	.	PUNCT
ejpam-634	101	1	the	the	DET
ejpam-634	101	2	power	power	NOUN
ejpam-634	101	3	indicates	indicate	VERB
ejpam-634	101	4	the	the	DET
ejpam-634	101	5	probability	probability	NOUN
ejpam-634	101	6	with	with	ADP
ejpam-634	101	7	which	which	PRON
ejpam-634	101	8	a	a	DET
ejpam-634	101	9	test	test	NOUN
ejpam-634	101	10	can	can	AUX
ejpam-634	101	11	correctly	correctly	ADV
ejpam-634	101	12	reject	reject	VERB
ejpam-634	101	13	the	the	DET
ejpam-634	101	14	null	null	ADJ
ejpam-634	101	15	hypothesis	hypothesis	NOUN
ejpam-634	101	16	.	.	PUNCT
ejpam-634	102	1	the	the	DET
ejpam-634	102	2	power	power	NOUN
ejpam-634	102	3	is	be	AUX
ejpam-634	102	4	equal	equal	ADJ
ejpam-634	102	5	to	to	ADP
ejpam-634	102	6	the	the	DET
ejpam-634	102	7	type	type	NOUN
ejpam-634	102	8	ii	ii	NOUN
ejpam-634	102	9	error	error	NOUN
ejpam-634	102	10	subtracted	subtract	VERB
ejpam-634	102	11	from	from	ADP
ejpam-634	102	12	unity	unity	NOUN
ejpam-634	102	13	.	.	PUNCT
ejpam-634	103	1	we	we	PRON
ejpam-634	103	2	used	use	VERB
ejpam-634	103	3	two	two	NUM
ejpam-634	103	4	sets	set	NOUN
ejpam-634	103	5	of	of	ADP
ejpam-634	103	6	monte	monte	PROPN
ejpam-634	103	7	carlo	carlo	PROPN
ejpam-634	103	8	simulation	simulation	PROPN
ejpam-634	103	9	studies	study	NOUN
ejpam-634	103	10	to	to	PART
ejpam-634	103	11	compare	compare	VERB
ejpam-634	103	12	the	the	DET
ejpam-634	103	13	performance	performance	NOUN
ejpam-634	103	14	of	of	ADP
ejpam-634	103	15	our	our	PRON
ejpam-634	103	16	test	test	NOUN
ejpam-634	103	17	with	with	ADP
ejpam-634	103	18	the	the	DET
ejpam-634	103	19	other	other	ADJ
ejpam-634	103	20	common	common	ADJ
ejpam-634	103	21	normality	normality	NOUN
ejpam-634	103	22	tests	test	NOUN
ejpam-634	103	23	already	already	ADV
ejpam-634	103	24	mentioned	mention	VERB
ejpam-634	103	25	;	;	PUNCT
ejpam-634	103	26	in	in	ADP
ejpam-634	103	27	both	both	DET
ejpam-634	103	28	cases	case	NOUN
ejpam-634	103	29	,	,	PUNCT
ejpam-634	103	30	we	we	PRON
ejpam-634	103	31	used	use	VERB
ejpam-634	103	32	α	α	X
ejpam-634	103	33	=	=	NOUN
ejpam-634	103	34	0.10	0.10	NUM
ejpam-634	103	35	.	.	PUNCT
ejpam-634	104	1	first	first	ADV
ejpam-634	104	2	,	,	PUNCT
ejpam-634	104	3	we	we	PRON
ejpam-634	104	4	ran	run	VERB
ejpam-634	104	5	18	18	NUM
ejpam-634	104	6	sets	set	NOUN
ejpam-634	104	7	of	of	ADP
ejpam-634	104	8	5,000	5,000	NUM
ejpam-634	104	9	simulations	simulation	NOUN
ejpam-634	104	10	to	to	PART
ejpam-634	104	11	evaluate	evaluate	VERB
ejpam-634	104	12	performance	performance	NOUN
ejpam-634	104	13	with	with	ADP
ejpam-634	104	14	respect	respect	NOUN
ejpam-634	104	15	to	to	ADP
ejpam-634	104	16	type	type	NOUN
ejpam-634	104	17	i	i	PRON
ejpam-634	104	18	errors	error	NOUN
ejpam-634	104	19	.	.	PUNCT
ejpam-634	105	1	we	we	PRON
ejpam-634	105	2	generated	generate	VERB
ejpam-634	105	3	data	datum	NOUN
ejpam-634	105	4	from	from	ADP
ejpam-634	105	5	two	two	NUM
ejpam-634	105	6	normal	normal	ADJ
ejpam-634	105	7	distributions	distribution	NOUN
ejpam-634	105	8	:	:	PUNCT
ejpam-634	105	9	n(0,1	n(0,1	NOUN
ejpam-634	105	10	)	)	PUNCT
ejpam-634	105	11	and	and	CCONJ
ejpam-634	105	12	n(50,5	n(50,5	NOUN
ejpam-634	105	13	)	)	PUNCT
ejpam-634	105	14	,	,	PUNCT
ejpam-634	105	15	using	use	VERB
ejpam-634	105	16	sample	sample	NOUN
ejpam-634	105	17	sizes	size	NOUN
ejpam-634	105	18	n=	n=	ADV
ejpam-634	106	1	[	[	X
ejpam-634	106	2	5,20,30,50,100,250,300,500,1000	5,20,30,50,100,250,300,500,1000	NUM
ejpam-634	106	3	]	]	PUNCT
ejpam-634	106	4	.	.	PUNCT
ejpam-634	107	1	secondly	secondly	ADV
ejpam-634	107	2	,	,	PUNCT
ejpam-634	107	3	in	in	ADP
ejpam-634	107	4	order	order	NOUN
ejpam-634	107	5	to	to	PART
ejpam-634	107	6	evaluate	evaluate	VERB
ejpam-634	107	7	the	the	DET
ejpam-634	107	8	power	power	NOUN
ejpam-634	107	9	of	of	ADP
ejpam-634	107	10	the	the	DET
ejpam-634	107	11	tests	test	NOUN
ejpam-634	107	12	(	(	PUNCT
ejpam-634	107	13	and	and	CCONJ
ejpam-634	107	14	hence	hence	ADV
ejpam-634	107	15	,	,	PUNCT
ejpam-634	107	16	type	type	NOUN
ejpam-634	107	17	ii	ii	NOUN
ejpam-634	107	18	error	error	NOUN
ejpam-634	107	19	rate	rate	NOUN
ejpam-634	107	20	)	)	PUNCT
ejpam-634	107	21	,	,	PUNCT
ejpam-634	107	22	we	we	PRON
ejpam-634	107	23	generated	generate	VERB
ejpam-634	107	24	data	datum	NOUN
ejpam-634	107	25	from	from	ADP
ejpam-634	107	26	four	four	NUM
ejpam-634	107	27	other	other	ADJ
ejpam-634	107	28	distributions	distribution	NOUN
ejpam-634	107	29	:	:	PUNCT
ejpam-634	107	30	uni	uni	PROPN
ejpam-634	107	31	f	f	PROPN
ejpam-634	107	32	orm(50,100	orm(50,100	NOUN
ejpam-634	107	33	)	)	PUNCT
ejpam-634	107	34	,	,	PUNCT
ejpam-634	107	35	gamma(5	gamma(5	NOUN
ejpam-634	107	36	;	;	PUNCT
ejpam-634	107	37	3	3	NUM
ejpam-634	107	38	)	)	PUNCT
ejpam-634	107	39	,	,	PUNCT
ejpam-634	107	40	e	e	NOUN
ejpam-634	107	41	x	x	X
ejpam-634	107	42	ponential(5	ponential(5	PROPN
ejpam-634	107	43	)	)	PUNCT
ejpam-634	107	44	,	,	PUNCT
ejpam-634	107	45	and	and	CCONJ
ejpam-634	107	46	student(15	student(15	NOUN
ejpam-634	107	47	)	)	PUNCT
ejpam-634	107	48	,	,	PUNCT
ejpam-634	107	49	using	use	VERB
ejpam-634	107	50	the	the	DET
ejpam-634	107	51	same	same	ADJ
ejpam-634	107	52	sample	sample	NOUN
ejpam-634	107	53	sizes	size	NOUN
ejpam-634	107	54	.	.	PUNCT
ejpam-634	108	1	results	result	NOUN
ejpam-634	108	2	from	from	ADP
ejpam-634	108	3	the	the	DET
ejpam-634	108	4	studies	study	NOUN
ejpam-634	108	5	are	be	AUX
ejpam-634	108	6	reported	report	VERB
ejpam-634	108	7	in	in	ADP
ejpam-634	108	8	table	table	NOUN
ejpam-634	108	9	1	1	NUM
ejpam-634	108	10	and	and	CCONJ
ejpam-634	108	11	table	table	NOUN
ejpam-634	108	12	2	2	NUM
ejpam-634	108	13	.	.	PUNCT
ejpam-634	108	14	table	table	NOUN
ejpam-634	108	15	1	1	NUM
ejpam-634	108	16	shows	show	VERB
ejpam-634	108	17	the	the	DET
ejpam-634	108	18	type	type	NOUN
ejpam-634	108	19	i	i	PRON
ejpam-634	108	20	error	error	NOUN
ejpam-634	108	21	percentages	percentage	NOUN
ejpam-634	108	22	of	of	ADP
ejpam-634	108	23	:	:	PUNCT
ejpam-634	108	24	our	our	PRON
ejpam-634	108	25	proposed	proposed	ADJ
ejpam-634	108	26	test	test	NOUN
ejpam-634	108	27	(	(	PUNCT
ejpam-634	108	28	pt	pt	NOUN
ejpam-634	108	29	)	)	PUNCT
ejpam-634	108	30	,	,	PUNCT
ejpam-634	108	31	jarqua	jarqua	NOUN
ejpam-634	108	32	-	-	PUNCT
ejpam-634	108	33	bera	bera	NOUN
ejpam-634	108	34	test	test	NOUN
ejpam-634	108	35	(	(	PUNCT
ejpam-634	108	36	jb	jb	PROPN
ejpam-634	108	37	)	)	PUNCT
ejpam-634	108	38	,	,	PUNCT
ejpam-634	108	39	shapiro	shapiro	PROPN
ejpam-634	108	40	-	-	PUNCT
ejpam-634	108	41	wilk	wilk	PROPN
ejpam-634	108	42	test	test	NOUN
ejpam-634	108	43	(	(	PUNCT
ejpam-634	108	44	ws	ws	NOUN
ejpam-634	108	45	)	)	PUNCT
ejpam-634	108	46	,	,	PUNCT
ejpam-634	108	47	anderson	anderson	PROPN
ejpam-634	108	48	and	and	CCONJ
ejpam-634	108	49	darling	darling	NOUN
ejpam-634	108	50	test	test	NOUN
ejpam-634	108	51	(	(	PUNCT
ejpam-634	108	52	and	and	CCONJ
ejpam-634	108	53	)	)	PUNCT
ejpam-634	108	54	.	.	PUNCT
ejpam-634	109	1	these	these	DET
ejpam-634	109	2	results	result	NOUN
ejpam-634	109	3	suggest	suggest	VERB
ejpam-634	109	4	our	our	PRON
ejpam-634	109	5	test	test	NOUN
ejpam-634	109	6	is	be	AUX
ejpam-634	109	7	superior	superior	ADJ
ejpam-634	109	8	to	to	ADP
ejpam-634	109	9	the	the	DET
ejpam-634	109	10	others	other	NOUN
ejpam-634	109	11	.	.	PUNCT
ejpam-634	110	1	for	for	SCONJ
ejpam-634	110	2	almost	almost	ADV
ejpam-634	110	3	all	all	PRON
ejpam-634	110	4	sample	sample	NOUN
ejpam-634	110	5	sizes	size	NOUN
ejpam-634	110	6	evaluated	evaluate	VERB
ejpam-634	110	7	,	,	PUNCT
ejpam-634	110	8	the	the	DET
ejpam-634	110	9	false	false	ADJ
ejpam-634	110	10	negative	negative	ADJ
ejpam-634	110	11	rate	rate	NOUN
ejpam-634	110	12	was	be	AUX
ejpam-634	110	13	much	much	ADV
ejpam-634	110	14	lower	low	ADJ
ejpam-634	110	15	than	than	ADP
ejpam-634	110	16	the	the	DET
ejpam-634	110	17	other	other	ADJ
ejpam-634	110	18	tests	test	NOUN
ejpam-634	110	19	.	.	PUNCT
ejpam-634	111	1	even	even	ADV
ejpam-634	111	2	more	more	ADV
ejpam-634	111	3	interesting	interesting	ADJ
ejpam-634	111	4	is	be	AUX
ejpam-634	111	5	the	the	DET
ejpam-634	111	6	relative	relative	ADJ
ejpam-634	111	7	consistency	consistency	NOUN
ejpam-634	111	8	demonstrated	demonstrate	VERB
ejpam-634	111	9	by	by	ADP
ejpam-634	111	10	our	our	PRON
ejpam-634	111	11	proposed	propose	VERB
ejpam-634	111	12	test.table	test.table	NUM
ejpam-634	111	13	1	1	NUM
ejpam-634	111	14	:	:	PUNCT
ejpam-634	111	15	type	type	NOUN
ejpam-634	111	16	i	i	PRON
ejpam-634	111	17	error	error	NOUN
ejpam-634	111	18	probabilities	probability	NOUN
ejpam-634	111	19	of	of	ADP
ejpam-634	111	20	compared	compare	VERB
ejpam-634	111	21	normality	normality	NOUN
ejpam-634	111	22	tests	test	NOUN
ejpam-634	111	23	.	.	PUNCT
ejpam-634	112	1	n(0	n(0	NOUN
ejpam-634	112	2	;	;	PUNCT
ejpam-634	112	3	1	1	X
ejpam-634	112	4	)	)	PUNCT
ejpam-634	112	5	n(50	n(50	NOUN
ejpam-634	112	6	;	;	PUNCT
ejpam-634	112	7	5	5	X
ejpam-634	112	8	)	)	PUNCT
ejpam-634	112	9	n	n	PRON
ejpam-634	112	10	pt	pt	X
ejpam-634	112	11	jb	jb	PROPN
ejpam-634	112	12	ws	ws	PROPN
ejpam-634	112	13	and	and	CCONJ
ejpam-634	112	14	pt	pt	PROPN
ejpam-634	112	15	jb	jb	PROPN
ejpam-634	112	16	ws	ws	PROPN
ejpam-634	112	17	and	and	CCONJ
ejpam-634	112	18	5	5	NUM
ejpam-634	112	19	0.0	0.0	NUM
ejpam-634	112	20	0.0	0.0	NUM
ejpam-634	112	21	9.8	9.8	NUM
ejpam-634	112	22	0.0	0.0	NUM
ejpam-634	112	23	0.0	0.0	NUM
ejpam-634	112	24	0.0	0.0	NUM
ejpam-634	112	25	9.4	9.4	NUM
ejpam-634	112	26	0.0	0.0	NUM
ejpam-634	112	27	20	20	NUM
ejpam-634	112	28	1.1	1.1	NUM
ejpam-634	112	29	2.0	2.0	NUM
ejpam-634	112	30	12.5	12.5	NUM
ejpam-634	112	31	10.1	10.1	NUM
ejpam-634	112	32	1.6	1.6	NUM
ejpam-634	112	33	2.1	2.1	NUM
ejpam-634	112	34	12.3	12.3	NUM
ejpam-634	112	35	10.0	10.0	NUM
ejpam-634	112	36	30	30	NUM
ejpam-634	112	37	1.7	1.7	NUM
ejpam-634	112	38	3.4	3.4	NUM
ejpam-634	112	39	12.3	12.3	NUM
ejpam-634	112	40	10.3	10.3	NUM
ejpam-634	112	41	1.8	1.8	NUM
ejpam-634	112	42	3.7	3.7	NUM
ejpam-634	112	43	12.4	12.4	NUM
ejpam-634	112	44	10.0	10.0	NUM
ejpam-634	112	45	50	50	NUM
ejpam-634	112	46	2.0	2.0	NUM
ejpam-634	112	47	4.7	4.7	NUM
ejpam-634	112	48	12.0	12.0	NUM
ejpam-634	112	49	10.0	10.0	NUM
ejpam-634	112	50	1.8	1.8	NUM
ejpam-634	112	51	4.4	4.4	NUM
ejpam-634	112	52	12.4	12.4	NUM
ejpam-634	112	53	10.5	10.5	NUM
ejpam-634	112	54	100	100	NUM
ejpam-634	112	55	1.9	1.9	NUM
ejpam-634	112	56	6.0	6.0	NUM
ejpam-634	112	57	12.3	12.3	NUM
ejpam-634	112	58	10.3	10.3	NUM
ejpam-634	112	59	2.0	2.0	NUM
ejpam-634	112	60	6.1	6.1	NUM
ejpam-634	112	61	12.1	12.1	NUM
ejpam-634	112	62	9.9	9.9	NUM
ejpam-634	112	63	250	250	NUM
ejpam-634	112	64	1.9	1.9	NUM
ejpam-634	112	65	7.6	7.6	NUM
ejpam-634	112	66	11.2	11.2	NUM
ejpam-634	112	67	10.0	10.0	NUM
ejpam-634	112	68	2.0	2.0	NUM
ejpam-634	112	69	7.6	7.6	NUM
ejpam-634	112	70	12.0	12.0	NUM
ejpam-634	112	71	10.1	10.1	NUM
ejpam-634	112	72	300	300	NUM
ejpam-634	112	73	1.7	1.7	NUM
ejpam-634	112	74	7.9	7.9	NUM
ejpam-634	112	75	12.0	12.0	NUM
ejpam-634	112	76	10.2	10.2	NUM
ejpam-634	112	77	1.8	1.8	NUM
ejpam-634	112	78	7.6	7.6	NUM
ejpam-634	112	79	11.5	11.5	NUM
ejpam-634	112	80	9.3	9.3	NUM
ejpam-634	112	81	500	500	NUM
ejpam-634	112	82	2.1	2.1	NUM
ejpam-634	112	83	9.1	9.1	NUM
ejpam-634	112	84	12.2	12.2	NUM
ejpam-634	112	85	9.7	9.7	NUM
ejpam-634	112	86	1.8	1.8	NUM
ejpam-634	112	87	8.2	8.2	NUM
ejpam-634	112	88	11.4	11.4	NUM
ejpam-634	112	89	9.8	9.8	NUM
ejpam-634	112	90	1000	1000	NUM
ejpam-634	112	91	1.9	1.9	NUM
ejpam-634	112	92	9.6	9.6	NUM
ejpam-634	112	93	12.0	12.0	NUM
ejpam-634	112	94	10.3	10.3	NUM
ejpam-634	112	95	1.8	1.8	NUM
ejpam-634	112	96	9.2	9.2	NUM
ejpam-634	112	97	12.1	12.1	NUM
ejpam-634	112	98	10.0	10.0	NUM
ejpam-634	112	99	in	in	ADP
ejpam-634	112	100	table	table	NOUN
ejpam-634	112	101	2	2	NUM
ejpam-634	112	102	,	,	PUNCT
ejpam-634	112	103	we	we	PRON
ejpam-634	112	104	see	see	VERB
ejpam-634	112	105	that	that	SCONJ
ejpam-634	112	106	the	the	DET
ejpam-634	112	107	proposed	propose	VERB
ejpam-634	112	108	test	test	NOUN
ejpam-634	112	109	does	do	AUX
ejpam-634	112	110	not	not	PART
ejpam-634	112	111	seem	seem	VERB
ejpam-634	112	112	to	to	PART
ejpam-634	112	113	be	be	AUX
ejpam-634	112	114	more	more	ADV
ejpam-634	112	115	powerful	powerful	ADJ
ejpam-634	112	116	than	than	ADP
ejpam-634	112	117	the	the	DET
ejpam-634	112	118	other	other	ADJ
ejpam-634	112	119	three	three	NUM
ejpam-634	112	120	,	,	PUNCT
ejpam-634	112	121	which	which	PRON
ejpam-634	112	122	exhibit	exhibit	VERB
ejpam-634	112	123	high	high	ADJ
ejpam-634	112	124	power	power	NOUN
ejpam-634	112	125	rates	rate	NOUN
ejpam-634	112	126	for	for	ADP
ejpam-634	112	127	sample	sample	NOUN
ejpam-634	112	128	sizes	size	NOUN
ejpam-634	112	129	greater	great	ADJ
ejpam-634	112	130	than	than	ADP
ejpam-634	112	131	100	100	NUM
ejpam-634	112	132	for	for	ADP
ejpam-634	112	133	the	the	DET
ejpam-634	112	134	first	first	ADJ
ejpam-634	112	135	three	three	NUM
ejpam-634	112	136	distributions	distribution	NOUN
ejpam-634	112	137	.	.	PUNCT
ejpam-634	113	1	for	for	ADP
ejpam-634	113	2	the	the	DET
ejpam-634	113	3	two	two	NUM
ejpam-634	113	4	symmetric	symmetric	ADJ
ejpam-634	113	5	distributions	distribution	NOUN
ejpam-634	113	6	uniform	uniform	NOUN
ejpam-634	113	7	and	and	CCONJ
ejpam-634	113	8	student	student	NOUN
ejpam-634	113	9	’s	’s	PART
ejpam-634	113	10	t	t	PROPN
ejpam-634	113	11	,	,	PUNCT
ejpam-634	113	12	the	the	DET
ejpam-634	113	13	performance	performance	NOUN
ejpam-634	113	14	of	of	ADP
ejpam-634	113	15	our	our	PRON
ejpam-634	113	16	test	test	NOUN
ejpam-634	113	17	is	be	AUX
ejpam-634	113	18	similar	similar	ADJ
ejpam-634	113	19	to	to	ADP
ejpam-634	113	20	that	that	PRON
ejpam-634	113	21	of	of	ADP
ejpam-634	113	22	the	the	DET
ejpam-634	113	23	anderson	anderson	PROPN
ejpam-634	113	24	and	and	CCONJ
ejpam-634	113	25	darling	darling	NOUN
ejpam-634	113	26	test	test	NOUN
ejpam-634	113	27	.	.	PUNCT
ejpam-634	114	1	as	as	SCONJ
ejpam-634	114	2	would	would	AUX
ejpam-634	114	3	be	be	AUX
ejpam-634	114	4	expected	expect	VERB
ejpam-634	114	5	,	,	PUNCT
ejpam-634	114	6	we	we	PRON
ejpam-634	114	7	see	see	VERB
ejpam-634	114	8	that	that	SCONJ
ejpam-634	114	9	increasing	increase	VERB
ejpam-634	114	10	the	the	DET
ejpam-634	114	11	sample	sample	NOUN
ejpam-634	114	12	size	size	NOUN
ejpam-634	114	13	increases	increase	VERB
ejpam-634	114	14	the	the	DET
ejpam-634	114	15	power	power	NOUN
ejpam-634	114	16	.	.	PUNCT
ejpam-634	115	1	for	for	ADP
ejpam-634	115	2	the	the	DET
ejpam-634	115	3	uniform	uniform	ADJ
ejpam-634	115	4	and	and	CCONJ
ejpam-634	115	5	exponential	exponential	ADJ
ejpam-634	115	6	distributions	distribution	NOUN
ejpam-634	115	7	,	,	PUNCT
ejpam-634	115	8	a	a	DET
ejpam-634	115	9	sample	sample	NOUN
ejpam-634	115	10	size	size	NOUN
ejpam-634	115	11	larger	large	ADJ
ejpam-634	115	12	than	than	ADP
ejpam-634	115	13	100	100	NUM
ejpam-634	115	14	is	be	AUX
ejpam-634	115	15	enough	enough	ADJ
ejpam-634	115	16	to	to	PART
ejpam-634	115	17	detect	detect	VERB
ejpam-634	115	18	non	non	ADJ
ejpam-634	115	19	-	-	ADJ
ejpam-634	115	20	normality	normality	ADJ
ejpam-634	115	21	approximately	approximately	ADV
ejpam-634	115	22	references	reference	NOUN
ejpam-634	115	23	453	453	NUM
ejpam-634	115	24	perfectly	perfectly	ADV
ejpam-634	115	25	;	;	PUNCT
ejpam-634	115	26	much	much	ADV
ejpam-634	115	27	larger	large	ADJ
ejpam-634	115	28	samples	sample	NOUN
ejpam-634	115	29	are	be	AUX
ejpam-634	115	30	required	require	VERB
ejpam-634	115	31	for	for	ADP
ejpam-634	115	32	the	the	DET
ejpam-634	115	33	gamma	gamma	NOUN
ejpam-634	115	34	distribution	distribution	NOUN
ejpam-634	115	35	.	.	PUNCT
ejpam-634	116	1	not	not	PART
ejpam-634	116	2	surprisingly	surprisingly	ADV
ejpam-634	116	3	,	,	PUNCT
ejpam-634	116	4	when	when	SCONJ
ejpam-634	116	5	data	datum	NOUN
ejpam-634	116	6	were	be	AUX
ejpam-634	116	7	generated	generate	VERB
ejpam-634	116	8	from	from	ADP
ejpam-634	116	9	the	the	DET
ejpam-634	116	10	student	student	NOUN
ejpam-634	116	11	’s	’s	PART
ejpam-634	116	12	t	t	NOUN
ejpam-634	116	13	distribution	distribution	NOUN
ejpam-634	116	14	,	,	PUNCT
ejpam-634	116	15	none	none	NOUN
ejpam-634	116	16	of	of	ADP
ejpam-634	116	17	the	the	DET
ejpam-634	116	18	compared	compare	VERB
ejpam-634	116	19	tests	test	NOUN
ejpam-634	116	20	were	be	AUX
ejpam-634	116	21	sufficient	sufficient	ADJ
ejpam-634	116	22	to	to	PART
ejpam-634	116	23	detect	detect	VERB
ejpam-634	116	24	non	non	ADJ
ejpam-634	116	25	-	-	NOUN
ejpam-634	116	26	normality	normality	NOUN
ejpam-634	116	27	except	except	SCONJ
ejpam-634	116	28	for	for	ADP
ejpam-634	116	29	extremely	extremely	ADV
ejpam-634	116	30	large	large	ADJ
ejpam-634	116	31	samples	sample	NOUN
ejpam-634	116	32	.	.	PUNCT
ejpam-634	117	1	4	4	X
ejpam-634	117	2	.	.	X
ejpam-634	117	3	concluding	conclude	VERB
ejpam-634	117	4	remarks	remark	NOUN
ejpam-634	117	5	in	in	ADP
ejpam-634	117	6	this	this	DET
ejpam-634	117	7	study	study	NOUN
ejpam-634	117	8	we	we	PRON
ejpam-634	117	9	proposed	propose	VERB
ejpam-634	117	10	a	a	DET
ejpam-634	117	11	novel	novel	ADJ
ejpam-634	117	12	normality	normality	NOUN
ejpam-634	117	13	test	test	NOUN
ejpam-634	117	14	using	use	VERB
ejpam-634	117	15	the	the	DET
ejpam-634	117	16	density	density	NOUN
ejpam-634	117	17	function	function	NOUN
ejpam-634	117	18	to	to	PART
ejpam-634	117	19	transform	transform	VERB
ejpam-634	117	20	data	datum	NOUN
ejpam-634	117	21	before	before	ADP
ejpam-634	117	22	testing	testing	NOUN
ejpam-634	117	23	.	.	PUNCT
ejpam-634	118	1	of	of	ADP
ejpam-634	118	2	course	course	ADV
ejpam-634	118	3	,	,	PUNCT
ejpam-634	118	4	we	we	PRON
ejpam-634	118	5	have	have	AUX
ejpam-634	118	6	used	use	VERB
ejpam-634	118	7	very	very	ADV
ejpam-634	118	8	simple	simple	ADJ
ejpam-634	118	9	calculus	calculus	NOUN
ejpam-634	118	10	methods	method	NOUN
ejpam-634	118	11	.	.	PUNCT
ejpam-634	119	1	however	however	ADV
ejpam-634	119	2	,	,	PUNCT
ejpam-634	119	3	the	the	DET
ejpam-634	119	4	simplicity	simplicity	NOUN
ejpam-634	119	5	of	of	ADP
ejpam-634	119	6	the	the	DET
ejpam-634	119	7	calculus	calculus	NOUN
ejpam-634	119	8	employed	employ	VERB
ejpam-634	119	9	does	do	AUX
ejpam-634	119	10	not	not	PART
ejpam-634	119	11	negate	negate	VERB
ejpam-634	119	12	the	the	DET
ejpam-634	119	13	value	value	NOUN
ejpam-634	119	14	of	of	ADP
ejpam-634	119	15	our	our	PRON
ejpam-634	119	16	proposed	propose	VERB
ejpam-634	119	17	test	test	NOUN
ejpam-634	119	18	.	.	PUNCT
ejpam-634	120	1	simulation	simulation	NOUN
ejpam-634	120	2	studies	study	NOUN
ejpam-634	120	3	show	show	VERB
ejpam-634	120	4	that	that	SCONJ
ejpam-634	120	5	the	the	DET
ejpam-634	120	6	proposed	propose	VERB
ejpam-634	120	7	test	test	NOUN
ejpam-634	120	8	gives	give	VERB
ejpam-634	120	9	approximately	approximately	ADV
ejpam-634	120	10	perfect	perfect	ADJ
ejpam-634	120	11	results	result	NOUN
ejpam-634	120	12	for	for	ADP
ejpam-634	120	13	all	all	DET
ejpam-634	120	14	sample	sample	NOUN
ejpam-634	120	15	sizes	size	NOUN
ejpam-634	120	16	according	accord	VERB
ejpam-634	120	17	to	to	ADP
ejpam-634	120	18	type	type	NOUN
ejpam-634	120	19	i	i	PRON
ejpam-634	120	20	error	error	NOUN
ejpam-634	120	21	.	.	PUNCT
ejpam-634	121	1	however	however	ADV
ejpam-634	121	2	,	,	PUNCT
ejpam-634	121	3	according	accord	VERB
ejpam-634	121	4	to	to	ADP
ejpam-634	121	5	power	power	NOUN
ejpam-634	121	6	,	,	PUNCT
ejpam-634	121	7	we	we	PRON
ejpam-634	121	8	can	can	AUX
ejpam-634	121	9	not	not	PART
ejpam-634	121	10	say	say	VERB
ejpam-634	121	11	that	that	SCONJ
ejpam-634	121	12	our	our	PRON
ejpam-634	121	13	proposed	propose	VERB
ejpam-634	121	14	test	test	NOUN
ejpam-634	121	15	works	work	VERB
ejpam-634	121	16	better	well	ADV
ejpam-634	121	17	than	than	ADP
ejpam-634	121	18	the	the	DET
ejpam-634	121	19	others	other	NOUN
ejpam-634	121	20	.	.	PUNCT
ejpam-634	122	1	it	it	PRON
ejpam-634	122	2	is	be	AUX
ejpam-634	122	3	also	also	ADV
ejpam-634	122	4	seen	see	VERB
ejpam-634	122	5	that	that	SCONJ
ejpam-634	122	6	the	the	DET
ejpam-634	122	7	type	type	NOUN
ejpam-634	122	8	i	i	PRON
ejpam-634	122	9	error	error	NOUN
ejpam-634	122	10	rate	rate	NOUN
ejpam-634	122	11	seems	seem	VERB
ejpam-634	122	12	invariant	invariant	ADJ
ejpam-634	122	13	with	with	ADP
ejpam-634	122	14	respect	respect	NOUN
ejpam-634	122	15	to	to	ADP
ejpam-634	122	16	sample	sample	NOUN
ejpam-634	122	17	size	size	NOUN
ejpam-634	122	18	,	,	PUNCT
ejpam-634	122	19	while	while	SCONJ
ejpam-634	122	20	the	the	DET
ejpam-634	122	21	type	type	NOUN
ejpam-634	122	22	ii	ii	NOUN
ejpam-634	122	23	error	error	NOUN
ejpam-634	122	24	decreases	decrease	VERB
ejpam-634	122	25	with	with	ADP
ejpam-634	122	26	higher	high	ADJ
ejpam-634	122	27	sample	sample	NOUN
ejpam-634	122	28	sizes	size	NOUN
ejpam-634	122	29	.	.	PUNCT
ejpam-634	123	1	the	the	DET
ejpam-634	123	2	logic	logic	NOUN
ejpam-634	123	3	underlying	underlie	VERB
ejpam-634	123	4	our	our	PRON
ejpam-634	123	5	test	test	NOUN
ejpam-634	123	6	could	could	AUX
ejpam-634	123	7	be	be	AUX
ejpam-634	123	8	readily	readily	ADV
ejpam-634	123	9	adapted	adapt	VERB
ejpam-634	123	10	to	to	ADP
ejpam-634	123	11	specific	specific	ADJ
ejpam-634	123	12	tests	test	NOUN
ejpam-634	123	13	for	for	ADP
ejpam-634	123	14	other	other	ADJ
ejpam-634	123	15	probability	probability	NOUN
ejpam-634	123	16	distributions	distribution	NOUN
ejpam-634	123	17	.	.	PUNCT
ejpam-634	124	1	this	this	PRON
ejpam-634	124	2	could	could	AUX
ejpam-634	124	3	be	be	AUX
ejpam-634	124	4	a	a	DET
ejpam-634	124	5	promising	promising	ADJ
ejpam-634	124	6	avenue	avenue	NOUN
ejpam-634	124	7	of	of	ADP
ejpam-634	124	8	further	further	ADJ
ejpam-634	124	9	research	research	NOUN
ejpam-634	124	10	.	.	PUNCT
ejpam-634	125	1	acknowledgements	acknowledgement	NOUN
ejpam-634	125	2	the	the	DET
ejpam-634	125	3	first	first	ADJ
ejpam-634	125	4	author	author	NOUN
ejpam-634	125	5	offers	offer	VERB
ejpam-634	125	6	his	his	PRON
ejpam-634	125	7	thanks	thank	NOUN
ejpam-634	125	8	to	to	ADP
ejpam-634	125	9	the	the	DET
ejpam-634	125	10	scientific	scientific	ADJ
ejpam-634	125	11	and	and	CCONJ
ejpam-634	125	12	technological	technological	ADJ
ejpam-634	125	13	research	research	NOUN
ejpam-634	125	14	council	council	NOUN
ejpam-634	125	15	of	of	ADP
ejpam-634	125	16	turkey	turkey	PROPN
ejpam-634	125	17	(	(	PUNCT
ejpam-634	125	18	tubitak	tubitak	NOUN
ejpam-634	125	19	)	)	PUNCT
ejpam-634	125	20	for	for	ADP
ejpam-634	125	21	their	their	PRON
ejpam-634	125	22	support	support	NOUN
ejpam-634	125	23	and	and	CCONJ
ejpam-634	125	24	encouragement	encouragement	NOUN
ejpam-634	125	25	of	of	ADP
ejpam-634	125	26	young	young	ADJ
ejpam-634	125	27	turkish	turkish	ADJ
ejpam-634	125	28	researchers	researcher	NOUN
ejpam-634	125	29	.	.	PUNCT
ejpam-634	126	1	the	the	DET
ejpam-634	126	2	authors	author	NOUN
ejpam-634	126	3	also	also	ADV
ejpam-634	126	4	thank	thank	VERB
ejpam-634	126	5	the	the	DET
ejpam-634	126	6	anonymous	anonymous	ADJ
ejpam-634	126	7	referee	referee	NOUN
ejpam-634	126	8	for	for	ADP
ejpam-634	126	9	assistance	assistance	NOUN
ejpam-634	126	10	,	,	PUNCT
ejpam-634	126	11	which	which	PRON
ejpam-634	126	12	helped	help	VERB
ejpam-634	126	13	improve	improve	VERB
ejpam-634	126	14	the	the	DET
ejpam-634	126	15	presentation	presentation	NOUN
ejpam-634	126	16	of	of	ADP
ejpam-634	126	17	this	this	DET
ejpam-634	126	18	research	research	NOUN
ejpam-634	126	19	.	.	PUNCT
ejpam-634	127	1	references	reference	NOUN
ejpam-634	127	2	[	[	X
ejpam-634	127	3	1	1	NUM
ejpam-634	127	4	]	]	PUNCT
ejpam-634	127	5	t	t	PROPN
ejpam-634	127	6	anderson	anderson	PROPN
ejpam-634	127	7	and	and	CCONJ
ejpam-634	127	8	d	d	X
ejpam-634	127	9	darling	darling	NOUN
ejpam-634	127	10	.	.	PUNCT
ejpam-634	128	1	a	a	DET
ejpam-634	128	2	test	test	NOUN
ejpam-634	128	3	of	of	ADP
ejpam-634	128	4	goodness	goodness	NOUN
ejpam-634	128	5	of	of	ADP
ejpam-634	128	6	fit	fit	PROPN
ejpam-634	128	7	.	.	PUNCT
ejpam-634	129	1	journal	journal	PROPN
ejpam-634	129	2	of	of	ADP
ejpam-634	129	3	the	the	DET
ejpam-634	129	4	american	american	PROPN
ejpam-634	129	5	statistical	statistical	PROPN
ejpam-634	129	6	association	association	PROPN
ejpam-634	129	7	,	,	PUNCT
ejpam-634	129	8	49(268):765–769	49(268):765–769	PROPN
ejpam-634	129	9	,	,	PUNCT
ejpam-634	129	10	1954	1954	NUM
ejpam-634	129	11	.	.	PUNCT
ejpam-634	130	1	[	[	X
ejpam-634	130	2	2	2	X
ejpam-634	130	3	]	]	X
ejpam-634	130	4	c	c	NOUN
ejpam-634	130	5	jarque	jarque	NOUN
ejpam-634	130	6	and	and	CCONJ
ejpam-634	130	7	a	a	DET
ejpam-634	130	8	bera	bera	NOUN
ejpam-634	130	9	.	.	PUNCT
ejpam-634	131	1	a	a	DET
ejpam-634	131	2	test	test	NOUN
ejpam-634	131	3	for	for	ADP
ejpam-634	131	4	normality	normality	NOUN
ejpam-634	131	5	of	of	ADP
ejpam-634	131	6	observation	observation	NOUN
ejpam-634	131	7	and	and	CCONJ
ejpam-634	131	8	regression	regression	NOUN
ejpam-634	131	9	residuals	residual	NOUN
ejpam-634	131	10	.	.	PUNCT
ejpam-634	132	1	international	international	ADJ
ejpam-634	132	2	statistical	statistical	ADJ
ejpam-634	132	3	review	review	NOUN
ejpam-634	132	4	,	,	PUNCT
ejpam-634	132	5	55(2):163–172	55(2):163–172	PROPN
ejpam-634	132	6	,	,	PUNCT
ejpam-634	132	7	1987	1987	NUM
ejpam-634	132	8	.	.	PUNCT
ejpam-634	133	1	[	[	X
ejpam-634	133	2	3	3	X
ejpam-634	133	3	]	]	X
ejpam-634	133	4	s	s	VERB
ejpam-634	133	5	shapiro	shapiro	PROPN
ejpam-634	133	6	and	and	CCONJ
ejpam-634	133	7	m	m	PROPN
ejpam-634	133	8	wilk	wilk	NOUN
ejpam-634	133	9	.	.	PUNCT
ejpam-634	134	1	an	an	DET
ejpam-634	134	2	analysis	analysis	NOUN
ejpam-634	134	3	of	of	ADP
ejpam-634	134	4	variance	variance	NOUN
ejpam-634	134	5	test	test	NOUN
ejpam-634	134	6	for	for	ADP
ejpam-634	134	7	normality	normality	NOUN
ejpam-634	134	8	.	.	PUNCT
ejpam-634	135	1	biometrica	biometrica	PROPN
ejpam-634	135	2	,	,	PUNCT
ejpam-634	135	3	52(3	52(3	NUM
ejpam-634	135	4	&	&	CCONJ
ejpam-634	135	5	4):591	4):591	NUM
ejpam-634	135	6	,	,	PUNCT
ejpam-634	135	7	1965	1965	NUM
ejpam-634	135	8	.	.	PUNCT
ejpam-634	136	1	r	r	NOUN
ejpam-634	136	2	e	e	NOUN
ejpam-634	136	3	f	f	PROPN
ejpam-634	136	4	e	e	NOUN
ejpam-634	136	5	r	r	NOUN
ejpam-634	136	6	e	e	NOUN
ejpam-634	136	7	n	n	NOUN
ejpam-634	136	8	c	c	NOUN
ejpam-634	136	9	e	e	X
ejpam-634	136	10	s	s	VERB
ejpam-634	136	11	4	4	NUM
ejpam-634	136	12	5	5	NUM
ejpam-634	136	13	4	4	NUM
ejpam-634	136	14	table	table	NOUN
ejpam-634	136	15	2	2	NUM
ejpam-634	136	16	:	:	PUNCT
ejpam-634	136	17	power	power	NOUN
ejpam-634	136	18	probabilities	probability	NOUN
ejpam-634	136	19	of	of	ADP
ejpam-634	136	20	compared	compare	VERB
ejpam-634	136	21	normality	normality	NOUN
ejpam-634	136	22	tests	test	NOUN
ejpam-634	136	23	.	.	PUNCT
ejpam-634	137	1	uniform(50;100	uniform(50;100	ADJ
ejpam-634	137	2	)	)	PUNCT
ejpam-634	137	3	gamma(5;3	gamma(5;3	PROPN
ejpam-634	137	4	)	)	PUNCT
ejpam-634	137	5	exp(5	exp(5	NOUN
ejpam-634	137	6	)	)	PUNCT
ejpam-634	137	7	t(15	t(15	NOUN
ejpam-634	137	8	)	)	PUNCT
ejpam-634	138	1	n	n	PRON
ejpam-634	138	2	pt	pt	NOUN
ejpam-634	138	3	jb	jb	PROPN
ejpam-634	138	4	ws	ws	PROPN
ejpam-634	138	5	and	and	CCONJ
ejpam-634	138	6	pt	pt	PROPN
ejpam-634	138	7	jb	jb	PROPN
ejpam-634	138	8	ws	ws	PROPN
ejpam-634	138	9	and	and	CCONJ
ejpam-634	138	10	pt	pt	PROPN
ejpam-634	138	11	jb	jb	PROPN
ejpam-634	138	12	ws	ws	PROPN
ejpam-634	138	13	and	and	CCONJ
ejpam-634	138	14	pt	pt	PROPN
ejpam-634	138	15	jb	jb	PROPN
ejpam-634	138	16	ws	ws	PROPN
ejpam-634	138	17	and	and	CCONJ
ejpam-634	138	18	5	5	NUM
ejpam-634	138	19	0.0	0.0	NUM
ejpam-634	138	20	0.0	0.0	NUM
ejpam-634	138	21	13.0	13.0	NUM
ejpam-634	138	22	0.0	0.0	NUM
ejpam-634	138	23	0.0	0.0	NUM
ejpam-634	138	24	0.0	0.0	NUM
ejpam-634	138	25	11.8	11.8	NUM
ejpam-634	138	26	0.0	0.0	NUM
ejpam-634	138	27	0.0	0.0	NUM
ejpam-634	138	28	0.0	0.0	NUM
ejpam-634	138	29	26.2	26.2	NUM
ejpam-634	138	30	0.0	0.0	NUM
ejpam-634	138	31	0.0	0.0	NUM
ejpam-634	138	32	0.0	0.0	NUM
ejpam-634	138	33	9.4	9.4	NUM
ejpam-634	138	34	0.0	0.0	NUM
ejpam-634	138	35	20	20	NUM
ejpam-634	138	36	7.8	7.8	NUM
ejpam-634	138	37	0.0	0.0	NUM
ejpam-634	138	38	35.8	35.8	NUM
ejpam-634	138	39	29.2	29.2	NUM
ejpam-634	138	40	6.1	6.1	NUM
ejpam-634	138	41	13.6	13.6	NUM
ejpam-634	138	42	37.3	37.3	NUM
ejpam-634	138	43	31.6	31.6	NUM
ejpam-634	138	44	26.8	26.8	NUM
ejpam-634	138	45	50.3	50.3	NUM
ejpam-634	138	46	90.8	90.8	NUM
ejpam-634	138	47	85.8	85.8	NUM
ejpam-634	138	48	2.9	2.9	NUM
ejpam-634	138	49	4.7	4.7	NUM
ejpam-634	138	50	16.1	16.1	NUM
ejpam-634	138	51	12.3	12.3	NUM
ejpam-634	138	52	30	30	NUM
ejpam-634	138	53	20.6	20.6	NUM
ejpam-634	138	54	0.1	0.1	NUM
ejpam-634	138	55	59.1	59.1	NUM
ejpam-634	138	56	45.4	45.4	NUM
ejpam-634	138	57	8.9	8.9	NUM
ejpam-634	138	58	24.3	24.3	NUM
ejpam-634	138	59	48.8	48.8	NUM
ejpam-634	138	60	40.0	40.0	NUM
ejpam-634	138	61	37.7	37.7	NUM
ejpam-634	138	62	77.7	77.7	NUM
ejpam-634	138	63	98.7	98.7	NUM
ejpam-634	138	64	96.8	96.8	NUM
ejpam-634	138	65	4.7	4.7	NUM
ejpam-634	138	66	8.4	8.4	NUM
ejpam-634	138	67	18.4	18.4	NUM
ejpam-634	138	68	13.3	13.3	NUM
ejpam-634	138	69	50	50	NUM
ejpam-634	138	70	55.2	55.2	NUM
ejpam-634	138	71	8.6	8.6	NUM
ejpam-634	138	72	88.7	88.7	NUM
ejpam-634	138	73	74.1	74.1	NUM
ejpam-634	138	74	12.7	12.7	NUM
ejpam-634	138	75	47.7	47.7	NUM
ejpam-634	138	76	70.7	70.7	NUM
ejpam-634	138	77	61.0	61.0	NUM
ejpam-634	138	78	55.4	55.4	NUM
ejpam-634	138	79	98.3	98.3	NUM
ejpam-634	138	80	100.0	100.0	NUM
ejpam-634	138	81	99.8	99.8	NUM
ejpam-634	138	82	6.8	6.8	NUM
ejpam-634	138	83	13.6	13.6	NUM
ejpam-634	138	84	22.0	22.0	NUM
ejpam-634	138	85	15.8	15.8	NUM
ejpam-634	138	86	100	100	NUM
ejpam-634	138	87	95.7	95.7	NUM
ejpam-634	138	88	94.9	94.9	NUM
ejpam-634	138	89	99.9	99.9	NUM
ejpam-634	138	90	98.2	98.2	NUM
ejpam-634	138	91	16.9	16.9	NUM
ejpam-634	138	92	86.2	86.2	NUM
ejpam-634	138	93	94.4	94.4	NUM
ejpam-634	138	94	87.6	87.6	NUM
ejpam-634	138	95	79.4	79.4	NUM
ejpam-634	138	96	100.0	100.0	NUM
ejpam-634	138	97	100.0	100.0	NUM
ejpam-634	138	98	100.0	100.0	NUM
ejpam-634	138	99	9.4	9.4	NUM
ejpam-634	138	100	20.5	20.5	NUM
ejpam-634	138	101	26.6	26.6	NUM
ejpam-634	138	102	17.2	17.2	NUM
ejpam-634	138	103	250	250	NUM
ejpam-634	138	104	100.0	100.0	NUM
ejpam-634	138	105	100.0	100.0	NUM
ejpam-634	138	106	100.0	100.0	NUM
ejpam-634	138	107	100.0	100.0	NUM
ejpam-634	138	108	29.9	29.9	NUM
ejpam-634	138	109	100.0	100.0	NUM
ejpam-634	138	110	100.0	100.0	NUM
ejpam-634	138	111	99.9	99.9	NUM
ejpam-634	138	112	98.6	98.6	NUM
ejpam-634	138	113	100.0	100.0	NUM
ejpam-634	138	114	100.0	100.0	NUM
ejpam-634	138	115	100.0	100.0	NUM
ejpam-634	138	116	18.0	18.0	NUM
ejpam-634	138	117	35.7	35.7	NUM
ejpam-634	138	118	38.4	38.4	NUM
ejpam-634	138	119	22.8	22.8	NUM
ejpam-634	138	120	300	300	NUM
ejpam-634	138	121	100.0	100.0	NUM
ejpam-634	138	122	100.0	100.0	NUM
ejpam-634	138	123	100.0	100.0	NUM
ejpam-634	138	124	100.0	100.0	NUM
ejpam-634	138	125	32.0	32.0	NUM
ejpam-634	138	126	100.0	100.0	NUM
ejpam-634	138	127	100.0	100.0	NUM
ejpam-634	138	128	100.0	100.0	NUM
ejpam-634	138	129	99.4	99.4	NUM
ejpam-634	138	130	100.0	100.0	NUM
ejpam-634	138	131	100.0	100.0	NUM
ejpam-634	138	132	100.0	100.0	NUM
ejpam-634	138	133	21.7	21.7	NUM
ejpam-634	138	134	41.1	41.1	NUM
ejpam-634	138	135	43.7	43.7	NUM
ejpam-634	138	136	25.7	25.7	NUM
ejpam-634	138	137	500	500	NUM
ejpam-634	138	138	100.0	100.0	NUM
ejpam-634	138	139	100.0	100.0	NUM
ejpam-634	138	140	100.0	100.0	NUM
ejpam-634	138	141	100.0	100.0	NUM
ejpam-634	138	142	45.0	45.0	NUM
ejpam-634	138	143	100.0	100.0	NUM
ejpam-634	138	144	100.0	100.0	NUM
ejpam-634	138	145	100.0	100.0	NUM
ejpam-634	138	146	100.0	100.0	NUM
ejpam-634	138	147	100.0	100.0	NUM
ejpam-634	138	148	100.0	100.0	NUM
ejpam-634	138	149	100.0	100.0	NUM
ejpam-634	138	150	31.7	31.7	NUM
ejpam-634	138	151	53.2	53.2	NUM
ejpam-634	138	152	53.9	53.9	NUM
ejpam-634	138	153	34.1	34.1	NUM
ejpam-634	138	154	1000	1000	NUM
ejpam-634	138	155	100.0	100.0	NUM
ejpam-634	138	156	100.0	100.0	NUM
ejpam-634	138	157	100.0	100.0	NUM
ejpam-634	138	158	100.0	100.0	NUM
ejpam-634	138	159	69.5	69.5	NUM
ejpam-634	138	160	100.0	100.0	NUM
ejpam-634	138	161	100.0	100.0	NUM
ejpam-634	138	162	100.0	100.0	NUM
ejpam-634	138	163	100.0	100.0	NUM
ejpam-634	138	164	100.0	100.0	NUM
ejpam-634	138	165	100.0	100.0	NUM
ejpam-634	138	166	100.0	100.0	NUM
ejpam-634	138	167	56.7	56.7	NUM
ejpam-634	138	168	77.0	77.0	NUM
ejpam-634	138	169	75.6	75.6	NUM
ejpam-634	138	170	52.7	52.7	NUM