id	sid	tid	token	lemma	pos
ejpam-1170	1	1	1_xxx_tsokos.dvi	1_xxx_tsokos.dvi	NUM
ejpam-1170	1	2	european	european	ADJ
ejpam-1170	1	3	journal	journal	NOUN
ejpam-1170	1	4	of	of	ADP
ejpam-1170	1	5	pure	pure	ADJ
ejpam-1170	1	6	and	and	CCONJ
ejpam-1170	1	7	applied	apply	VERB
ejpam-1170	1	8	mathematics	mathematic	NOUN
ejpam-1170	1	9	vol	vol	NOUN
ejpam-1170	1	10	.	.	PROPN
ejpam-1170	2	1	4	4	NUM
ejpam-1170	2	2	,	,	PUNCT
ejpam-1170	2	3	no	no	INTJ
ejpam-1170	2	4	.	.	NOUN
ejpam-1170	2	5	2	2	NUM
ejpam-1170	2	6	,	,	PUNCT
ejpam-1170	2	7	2011	2011	NUM
ejpam-1170	2	8	,	,	PUNCT
ejpam-1170	2	9	89	89	NUM
ejpam-1170	2	10	-	-	SYM
ejpam-1170	2	11	102	102	NUM
ejpam-1170	2	12	issn	issn	PROPN
ejpam-1170	2	13	1307	1307	NUM
ejpam-1170	2	14	-	-	SYM
ejpam-1170	2	15	5543	5543	NUM
ejpam-1170	2	16	–	–	PUNCT
ejpam-1170	2	17	www.ejpam.com	www.ejpam.com	X
ejpam-1170	2	18	transmuted	transmute	VERB
ejpam-1170	2	19	weibull	weibull	NOUN
ejpam-1170	2	20	distribution	distribution	NOUN
ejpam-1170	2	21	:	:	PUNCT
ejpam-1170	2	22	a	a	DET
ejpam-1170	2	23	generalization	generalization	NOUN
ejpam-1170	2	24	of	of	ADP
ejpam-1170	2	25	the	the	DET
ejpam-1170	2	26	weibull	weibull	PROPN
ejpam-1170	2	27	probability	probability	NOUN
ejpam-1170	2	28	distribution	distribution	NOUN
ejpam-1170	2	29	gokarna	gokarna	NOUN
ejpam-1170	2	30	r.	r.	PROPN
ejpam-1170	2	31	aryal1,∗	aryal1,∗	PROPN
ejpam-1170	2	32	,	,	PUNCT
ejpam-1170	3	1	chris	chris	PROPN
ejpam-1170	3	2	p.	p.	NOUN
ejpam-1170	3	3	tsokos2	tsokos2	NOUN
ejpam-1170	4	1	1	1	NUM
ejpam-1170	4	2	department	department	NOUN
ejpam-1170	4	3	of	of	ADP
ejpam-1170	4	4	mathematics	mathematic	NOUN
ejpam-1170	4	5	,	,	PUNCT
ejpam-1170	4	6	computer	computer	NOUN
ejpam-1170	4	7	science	science	NOUN
ejpam-1170	4	8	and	and	CCONJ
ejpam-1170	4	9	statistics	statistic	NOUN
ejpam-1170	4	10	,	,	PUNCT
ejpam-1170	4	11	purdue	purdue	PROPN
ejpam-1170	4	12	university	university	NOUN
ejpam-1170	4	13	calumet	calumet	NOUN
ejpam-1170	4	14	,	,	PUNCT
ejpam-1170	4	15	hammond	hammond	PROPN
ejpam-1170	4	16	,	,	PUNCT
ejpam-1170	4	17	in	in	ADP
ejpam-1170	4	18	46323	46323	NUM
ejpam-1170	4	19	usa	usa	PROPN
ejpam-1170	4	20	2	2	NUM
ejpam-1170	4	21	department	department	NOUN
ejpam-1170	4	22	of	of	ADP
ejpam-1170	4	23	mathematics	mathematic	NOUN
ejpam-1170	4	24	and	and	CCONJ
ejpam-1170	4	25	statistics	statistic	NOUN
ejpam-1170	4	26	,	,	PUNCT
ejpam-1170	4	27	university	university	NOUN
ejpam-1170	4	28	of	of	ADP
ejpam-1170	4	29	south	south	PROPN
ejpam-1170	4	30	florida	florida	PROPN
ejpam-1170	4	31	,	,	PUNCT
ejpam-1170	4	32	tampa	tampa	PROPN
ejpam-1170	4	33	,	,	PUNCT
ejpam-1170	4	34	fl	fl	PROPN
ejpam-1170	4	35	33620	33620	NUM
ejpam-1170	4	36	usa	usa	PROPN
ejpam-1170	4	37	abstract	abstract	NOUN
ejpam-1170	4	38	.	.	PUNCT
ejpam-1170	5	1	in	in	ADP
ejpam-1170	5	2	this	this	DET
ejpam-1170	5	3	article	article	NOUN
ejpam-1170	5	4	,	,	PUNCT
ejpam-1170	5	5	the	the	DET
ejpam-1170	5	6	two	two	NUM
ejpam-1170	5	7	parameter	parameter	NOUN
ejpam-1170	5	8	weibull	weibull	PROPN
ejpam-1170	5	9	probability	probability	NOUN
ejpam-1170	5	10	distribution	distribution	NOUN
ejpam-1170	5	11	is	be	AUX
ejpam-1170	5	12	embedded	embed	VERB
ejpam-1170	5	13	in	in	ADP
ejpam-1170	5	14	a	a	DET
ejpam-1170	5	15	larger	large	ADJ
ejpam-1170	5	16	family	family	NOUN
ejpam-1170	5	17	obtained	obtain	VERB
ejpam-1170	5	18	by	by	ADP
ejpam-1170	5	19	introducing	introduce	VERB
ejpam-1170	5	20	an	an	DET
ejpam-1170	5	21	additional	additional	ADJ
ejpam-1170	5	22	parameter	parameter	NOUN
ejpam-1170	5	23	.	.	PUNCT
ejpam-1170	6	1	we	we	PRON
ejpam-1170	6	2	generalize	generalize	VERB
ejpam-1170	6	3	the	the	DET
ejpam-1170	6	4	two	two	NUM
ejpam-1170	6	5	parameter	parameter	NOUN
ejpam-1170	6	6	weibull	weibull	NOUN
ejpam-1170	6	7	distribution	distribution	NOUN
ejpam-1170	6	8	using	use	VERB
ejpam-1170	6	9	the	the	DET
ejpam-1170	6	10	quadratic	quadratic	ADJ
ejpam-1170	6	11	rank	rank	NOUN
ejpam-1170	6	12	transmutation	transmutation	NOUN
ejpam-1170	6	13	map	map	NOUN
ejpam-1170	6	14	studied	study	VERB
ejpam-1170	6	15	by	by	ADP
ejpam-1170	6	16	shaw	shaw	PROPN
ejpam-1170	6	17	et	et	PROPN
ejpam-1170	6	18	al	al	PROPN
ejpam-1170	6	19	.	.	PUNCT
ejpam-1170	7	1	[	[	X
ejpam-1170	7	2	9	9	NUM
ejpam-1170	7	3	]	]	PUNCT
ejpam-1170	7	4	to	to	PART
ejpam-1170	7	5	develop	develop	VERB
ejpam-1170	7	6	a	a	DET
ejpam-1170	7	7	transmuted	transmuted	ADJ
ejpam-1170	7	8	weibull	weibull	NOUN
ejpam-1170	7	9	distribution	distribution	NOUN
ejpam-1170	7	10	.	.	PUNCT
ejpam-1170	8	1	we	we	PRON
ejpam-1170	8	2	provide	provide	VERB
ejpam-1170	8	3	a	a	DET
ejpam-1170	8	4	comprehensive	comprehensive	ADJ
ejpam-1170	8	5	description	description	NOUN
ejpam-1170	8	6	of	of	ADP
ejpam-1170	8	7	the	the	DET
ejpam-1170	8	8	mathematical	mathematical	ADJ
ejpam-1170	8	9	properties	property	NOUN
ejpam-1170	8	10	of	of	ADP
ejpam-1170	8	11	the	the	DET
ejpam-1170	8	12	subject	subject	ADJ
ejpam-1170	8	13	distribution	distribution	NOUN
ejpam-1170	8	14	along	along	ADP
ejpam-1170	8	15	with	with	ADP
ejpam-1170	8	16	its	its	PRON
ejpam-1170	8	17	reliability	reliability	NOUN
ejpam-1170	8	18	behavior	behavior	NOUN
ejpam-1170	8	19	.	.	PUNCT
ejpam-1170	9	1	the	the	DET
ejpam-1170	9	2	usefulness	usefulness	NOUN
ejpam-1170	9	3	of	of	ADP
ejpam-1170	9	4	the	the	DET
ejpam-1170	9	5	transmuted	transmuted	ADJ
ejpam-1170	9	6	weibull	weibull	NOUN
ejpam-1170	9	7	distribution	distribution	NOUN
ejpam-1170	9	8	for	for	ADP
ejpam-1170	9	9	modeling	model	VERB
ejpam-1170	9	10	reliability	reliability	NOUN
ejpam-1170	9	11	data	datum	NOUN
ejpam-1170	9	12	is	be	AUX
ejpam-1170	9	13	illustrated	illustrate	VERB
ejpam-1170	9	14	using	use	VERB
ejpam-1170	9	15	real	real	ADJ
ejpam-1170	9	16	data	datum	NOUN
ejpam-1170	9	17	.	.	PUNCT
ejpam-1170	10	1	2000	2000	NUM
ejpam-1170	10	2	mathematics	mathematic	NOUN
ejpam-1170	10	3	subject	subject	NOUN
ejpam-1170	10	4	classifications	classification	NOUN
ejpam-1170	10	5	:	:	PUNCT
ejpam-1170	10	6	62n05	62n05	NUM
ejpam-1170	10	7	;	;	PUNCT
ejpam-1170	10	8	90b25	90b25	NUM
ejpam-1170	10	9	key	key	ADJ
ejpam-1170	10	10	words	word	NOUN
ejpam-1170	10	11	and	and	CCONJ
ejpam-1170	10	12	phrases	phrase	NOUN
ejpam-1170	10	13	:	:	PUNCT
ejpam-1170	10	14	weibull	weibull	NOUN
ejpam-1170	10	15	distribution	distribution	NOUN
ejpam-1170	10	16	,	,	PUNCT
ejpam-1170	10	17	hazard	hazard	NOUN
ejpam-1170	10	18	rate	rate	NOUN
ejpam-1170	10	19	function	function	NOUN
ejpam-1170	10	20	,	,	PUNCT
ejpam-1170	10	21	reliability	reliability	NOUN
ejpam-1170	10	22	function	function	NOUN
ejpam-1170	10	23	,	,	PUNCT
ejpam-1170	10	24	parameter	parameter	NOUN
ejpam-1170	10	25	estimation	estimation	NOUN
ejpam-1170	10	26	1	1	NUM
ejpam-1170	10	27	.	.	PUNCT
ejpam-1170	10	28	introduction	introduction	NOUN
ejpam-1170	10	29	the	the	DET
ejpam-1170	10	30	quality	quality	NOUN
ejpam-1170	10	31	of	of	ADP
ejpam-1170	10	32	the	the	DET
ejpam-1170	10	33	procedures	procedure	NOUN
ejpam-1170	10	34	used	use	VERB
ejpam-1170	10	35	in	in	ADP
ejpam-1170	10	36	a	a	DET
ejpam-1170	10	37	statistical	statistical	ADJ
ejpam-1170	10	38	analysis	analysis	NOUN
ejpam-1170	10	39	depends	depend	VERB
ejpam-1170	10	40	heavily	heavily	ADV
ejpam-1170	10	41	on	on	ADP
ejpam-1170	10	42	the	the	DET
ejpam-1170	10	43	assumed	assume	VERB
ejpam-1170	10	44	probability	probability	NOUN
ejpam-1170	10	45	model	model	NOUN
ejpam-1170	10	46	or	or	CCONJ
ejpam-1170	10	47	distributions	distribution	NOUN
ejpam-1170	10	48	.	.	PUNCT
ejpam-1170	11	1	because	because	SCONJ
ejpam-1170	11	2	of	of	ADP
ejpam-1170	11	3	this	this	PRON
ejpam-1170	11	4	,	,	PUNCT
ejpam-1170	11	5	considerable	considerable	ADJ
ejpam-1170	11	6	effort	effort	NOUN
ejpam-1170	11	7	has	have	AUX
ejpam-1170	11	8	been	be	AUX
ejpam-1170	11	9	expended	expend	VERB
ejpam-1170	11	10	in	in	ADP
ejpam-1170	11	11	the	the	DET
ejpam-1170	11	12	development	development	NOUN
ejpam-1170	11	13	of	of	ADP
ejpam-1170	11	14	large	large	ADJ
ejpam-1170	11	15	classes	class	NOUN
ejpam-1170	11	16	of	of	ADP
ejpam-1170	11	17	standard	standard	ADJ
ejpam-1170	11	18	probability	probability	NOUN
ejpam-1170	11	19	distributions	distribution	NOUN
ejpam-1170	11	20	along	along	ADP
ejpam-1170	11	21	with	with	ADP
ejpam-1170	11	22	revelent	revelent	ADJ
ejpam-1170	11	23	statistical	statistical	ADJ
ejpam-1170	11	24	methodologies	methodology	NOUN
ejpam-1170	11	25	.	.	PUNCT
ejpam-1170	12	1	however	however	ADV
ejpam-1170	12	2	,	,	PUNCT
ejpam-1170	12	3	there	there	PRON
ejpam-1170	12	4	still	still	ADV
ejpam-1170	12	5	remain	remain	VERB
ejpam-1170	12	6	many	many	ADJ
ejpam-1170	12	7	important	important	ADJ
ejpam-1170	12	8	problems	problem	NOUN
ejpam-1170	12	9	where	where	SCONJ
ejpam-1170	12	10	the	the	DET
ejpam-1170	12	11	real	real	ADJ
ejpam-1170	12	12	data	datum	NOUN
ejpam-1170	12	13	does	do	AUX
ejpam-1170	12	14	not	not	PART
ejpam-1170	12	15	follow	follow	VERB
ejpam-1170	12	16	any	any	PRON
ejpam-1170	12	17	of	of	ADP
ejpam-1170	12	18	the	the	DET
ejpam-1170	12	19	classical	classical	ADJ
ejpam-1170	12	20	or	or	CCONJ
ejpam-1170	12	21	standard	standard	ADJ
ejpam-1170	12	22	probability	probability	NOUN
ejpam-1170	12	23	models	model	NOUN
ejpam-1170	12	24	.	.	PUNCT
ejpam-1170	13	1	the	the	DET
ejpam-1170	13	2	weibull	weibull	PROPN
ejpam-1170	13	3	distribution	distribution	NOUN
ejpam-1170	13	4	is	be	AUX
ejpam-1170	13	5	a	a	DET
ejpam-1170	13	6	very	very	ADV
ejpam-1170	13	7	popular	popular	ADJ
ejpam-1170	13	8	distribution	distribution	NOUN
ejpam-1170	13	9	named	name	VERB
ejpam-1170	13	10	after	after	ADP
ejpam-1170	13	11	waladdi	waladdi	PROPN
ejpam-1170	13	12	weibull	weibull	PROPN
ejpam-1170	13	13	,	,	PUNCT
ejpam-1170	13	14	a	a	DET
ejpam-1170	13	15	swedish	swedish	ADJ
ejpam-1170	13	16	physicist	physicist	NOUN
ejpam-1170	13	17	.	.	PUNCT
ejpam-1170	14	1	he	he	PRON
ejpam-1170	14	2	applied	apply	VERB
ejpam-1170	14	3	this	this	DET
ejpam-1170	14	4	distribution	distribution	NOUN
ejpam-1170	14	5	in	in	ADP
ejpam-1170	14	6	1939	1939	NUM
ejpam-1170	14	7	to	to	PART
ejpam-1170	14	8	analyze	analyze	VERB
ejpam-1170	14	9	the	the	DET
ejpam-1170	14	10	breaking	break	VERB
ejpam-1170	14	11	strength	strength	NOUN
ejpam-1170	14	12	of	of	ADP
ejpam-1170	14	13	materials	material	NOUN
ejpam-1170	14	14	.	.	PUNCT
ejpam-1170	15	1	since	since	SCONJ
ejpam-1170	15	2	then	then	ADV
ejpam-1170	15	3	,	,	PUNCT
ejpam-1170	15	4	it	it	PRON
ejpam-1170	15	5	has	have	AUX
ejpam-1170	15	6	been	be	AUX
ejpam-1170	15	7	widely	widely	ADV
ejpam-1170	15	8	used	use	VERB
ejpam-1170	15	9	for	for	ADP
ejpam-1170	15	10	analyzing	analyze	VERB
ejpam-1170	15	11	lifetime	lifetime	NOUN
ejpam-1170	15	12	data	datum	NOUN
ejpam-1170	15	13	in	in	ADP
ejpam-1170	15	14	reliability	reliability	NOUN
ejpam-1170	15	15	engineering	engineering	NOUN
ejpam-1170	15	16	.	.	PUNCT
ejpam-1170	16	1	it	it	PRON
ejpam-1170	16	2	is	be	AUX
ejpam-1170	16	3	a	a	DET
ejpam-1170	16	4	versatile	versatile	ADJ
ejpam-1170	16	5	distribution	distribution	NOUN
ejpam-1170	16	6	that	that	PRON
ejpam-1170	16	7	can	can	AUX
ejpam-1170	16	8	take	take	VERB
ejpam-1170	16	9	on	on	ADP
ejpam-1170	16	10	the	the	DET
ejpam-1170	16	11	characteristics	characteristic	NOUN
ejpam-1170	16	12	of	of	ADP
ejpam-1170	16	13	other	other	ADJ
ejpam-1170	16	14	types	type	NOUN
ejpam-1170	16	15	of	of	ADP
ejpam-1170	16	16	distributions	distribution	NOUN
ejpam-1170	16	17	,	,	PUNCT
ejpam-1170	16	18	based	base	VERB
ejpam-1170	16	19	on	on	ADP
ejpam-1170	16	20	the	the	DET
ejpam-1170	16	21	value	value	NOUN
ejpam-1170	16	22	of	of	ADP
ejpam-1170	16	23	the	the	DET
ejpam-1170	16	24	shape	shape	NOUN
ejpam-1170	16	25	parameter	parameter	NOUN
ejpam-1170	16	26	.	.	PUNCT
ejpam-1170	17	1	the	the	DET
ejpam-1170	17	2	weibull	weibull	PROPN
ejpam-1170	17	3	distribution	distribution	NOUN
ejpam-1170	17	4	is	be	AUX
ejpam-1170	17	5	a	a	DET
ejpam-1170	17	6	widely	widely	ADV
ejpam-1170	17	7	used	use	VERB
ejpam-1170	17	8	statistical	statistical	ADJ
ejpam-1170	17	9	model	model	NOUN
ejpam-1170	17	10	for	for	ADP
ejpam-1170	17	11	studying	study	VERB
ejpam-1170	17	12	fatigue	fatigue	NOUN
ejpam-1170	17	13	and	and	CCONJ
ejpam-1170	17	14	endurance	endurance	NOUN
ejpam-1170	17	15	life	life	NOUN
ejpam-1170	17	16	in	in	ADP
ejpam-1170	17	17	engineering	engineering	NOUN
ejpam-1170	17	18	devices	device	NOUN
ejpam-1170	17	19	and	and	CCONJ
ejpam-1170	17	20	materials	material	NOUN
ejpam-1170	17	21	.	.	PUNCT
ejpam-1170	18	1	∗corresponding	∗corresponde	VERB
ejpam-1170	18	2	author	author	NOUN
ejpam-1170	18	3	.	.	PUNCT
ejpam-1170	19	1	email	email	NOUN
ejpam-1170	19	2	addresses	address	NOUN
ejpam-1170	19	3	:	:	PUNCT
ejpam-1170	19	4	aryalg	aryalg	PROPN
ejpam-1170	19	5	�	�	PROPN
ejpam-1170	19	6	purdue	purdue	ADJ
ejpam-1170	19	7	al.edu	al.edu	PROPN
ejpam-1170	19	8	(	(	PUNCT
ejpam-1170	19	9	g.	g.	PROPN
ejpam-1170	19	10	aryal	aryal	PROPN
ejpam-1170	19	11	)	)	PUNCT
ejpam-1170	19	12	,	,	PUNCT
ejpam-1170	19	13	prof	prof	PROPN
ejpam-1170	19	14	pt	pt	PROPN
ejpam-1170	19	15	�	�	PROPN
ejpam-1170	19	16	as.usf.edu	as.usf.edu	PROPN
ejpam-1170	19	17	(	(	PUNCT
ejpam-1170	19	18	c.	c.	PROPN
ejpam-1170	19	19	tsokos	tsokos	PROPN
ejpam-1170	19	20	)	)	PUNCT
ejpam-1170	19	21	http://www.ejpam.com	http://www.ejpam.com	X
ejpam-1170	20	1	89	89	NUM
ejpam-1170	20	2	c	c	X
ejpam-1170	20	3	©	©	NOUN
ejpam-1170	20	4	2011	2011	NUM
ejpam-1170	20	5	ejpam	ejpam	VERB
ejpam-1170	20	6	all	all	DET
ejpam-1170	20	7	rights	right	NOUN
ejpam-1170	20	8	reserved	reserve	VERB
ejpam-1170	20	9	.	.	PUNCT
ejpam-1170	21	1	g.	g.	PROPN
ejpam-1170	21	2	aryal	aryal	PROPN
ejpam-1170	21	3	,	,	PUNCT
ejpam-1170	21	4	c.	c.	PROPN
ejpam-1170	21	5	tsokos	tsokos	PROPN
ejpam-1170	21	6	/	/	SYM
ejpam-1170	21	7	eur	eur	PROPN
ejpam-1170	21	8	.	.	PUNCT
ejpam-1170	22	1	j.	j.	PROPN
ejpam-1170	22	2	pure	pure	PROPN
ejpam-1170	22	3	appl	appl	PROPN
ejpam-1170	22	4	.	.	PROPN
ejpam-1170	22	5	math	math	PROPN
ejpam-1170	22	6	,	,	PUNCT
ejpam-1170	22	7	4	4	NUM
ejpam-1170	22	8	(	(	PUNCT
ejpam-1170	22	9	2011	2011	NUM
ejpam-1170	22	10	)	)	PUNCT
ejpam-1170	22	11	,	,	PUNCT
ejpam-1170	22	12	89	89	NUM
ejpam-1170	22	13	-	-	SYM
ejpam-1170	22	14	102	102	NUM
ejpam-1170	22	15	90	90	NUM
ejpam-1170	22	16	many	many	ADJ
ejpam-1170	22	17	examples	example	NOUN
ejpam-1170	22	18	can	can	AUX
ejpam-1170	22	19	be	be	AUX
ejpam-1170	22	20	found	find	VERB
ejpam-1170	22	21	among	among	ADP
ejpam-1170	22	22	the	the	DET
ejpam-1170	22	23	aerospace	aerospace	NOUN
ejpam-1170	22	24	,	,	PUNCT
ejpam-1170	22	25	electronics	electronic	NOUN
ejpam-1170	22	26	,	,	PUNCT
ejpam-1170	22	27	materials	material	NOUN
ejpam-1170	22	28	,	,	PUNCT
ejpam-1170	22	29	and	and	CCONJ
ejpam-1170	22	30	automotive	automotive	ADJ
ejpam-1170	22	31	industries	industry	NOUN
ejpam-1170	22	32	.	.	PUNCT
ejpam-1170	23	1	recent	recent	ADJ
ejpam-1170	23	2	advances	advance	NOUN
ejpam-1170	23	3	in	in	ADP
ejpam-1170	23	4	weibull	weibull	PROPN
ejpam-1170	23	5	theory	theory	NOUN
ejpam-1170	23	6	have	have	AUX
ejpam-1170	23	7	also	also	ADV
ejpam-1170	23	8	created	create	VERB
ejpam-1170	23	9	numerous	numerous	ADJ
ejpam-1170	23	10	specialized	specialized	ADJ
ejpam-1170	23	11	weibull	weibull	PROPN
ejpam-1170	23	12	applications	application	NOUN
ejpam-1170	23	13	.	.	PUNCT
ejpam-1170	24	1	modern	modern	ADJ
ejpam-1170	24	2	computing	computing	NOUN
ejpam-1170	24	3	technology	technology	NOUN
ejpam-1170	24	4	has	have	AUX
ejpam-1170	24	5	made	make	VERB
ejpam-1170	24	6	many	many	ADJ
ejpam-1170	24	7	of	of	ADP
ejpam-1170	24	8	these	these	DET
ejpam-1170	24	9	techniques	technique	NOUN
ejpam-1170	24	10	accessible	accessible	ADJ
ejpam-1170	24	11	across	across	ADP
ejpam-1170	24	12	the	the	DET
ejpam-1170	24	13	engineering	engineering	NOUN
ejpam-1170	24	14	spectrum	spectrum	NOUN
ejpam-1170	24	15	.	.	PUNCT
ejpam-1170	25	1	despite	despite	SCONJ
ejpam-1170	25	2	its	its	PRON
ejpam-1170	25	3	popularity	popularity	NOUN
ejpam-1170	25	4	,	,	PUNCT
ejpam-1170	25	5	and	and	CCONJ
ejpam-1170	25	6	wide	wide	ADJ
ejpam-1170	25	7	applicability	applicability	NOUN
ejpam-1170	25	8	the	the	DET
ejpam-1170	25	9	traditional	traditional	ADJ
ejpam-1170	25	10	2	2	NUM
ejpam-1170	25	11	-	-	PUNCT
ejpam-1170	25	12	parameter	parameter	NOUN
ejpam-1170	25	13	and	and	CCONJ
ejpam-1170	25	14	3	3	NUM
ejpam-1170	25	15	-	-	PUNCT
ejpam-1170	25	16	parameter	parameter	NOUN
ejpam-1170	25	17	weibull	weibull	NOUN
ejpam-1170	25	18	distribution	distribution	NOUN
ejpam-1170	25	19	is	be	AUX
ejpam-1170	25	20	unable	unable	ADJ
ejpam-1170	25	21	to	to	PART
ejpam-1170	25	22	capture	capture	VERB
ejpam-1170	25	23	all	all	DET
ejpam-1170	25	24	the	the	DET
ejpam-1170	25	25	lifetime	lifetime	NOUN
ejpam-1170	25	26	phenomenon	phenomenon	NOUN
ejpam-1170	25	27	for	for	ADP
ejpam-1170	25	28	instance	instance	NOUN
ejpam-1170	25	29	the	the	DET
ejpam-1170	25	30	data	datum	NOUN
ejpam-1170	25	31	set	set	VERB
ejpam-1170	25	32	which	which	PRON
ejpam-1170	25	33	has	have	VERB
ejpam-1170	25	34	a	a	DET
ejpam-1170	25	35	non	non	ADJ
ejpam-1170	25	36	-	-	ADJ
ejpam-1170	25	37	monotonic	monotonic	ADJ
ejpam-1170	25	38	failure	failure	NOUN
ejpam-1170	25	39	rate	rate	NOUN
ejpam-1170	25	40	function	function	NOUN
ejpam-1170	25	41	.	.	PUNCT
ejpam-1170	26	1	recently	recently	ADV
ejpam-1170	26	2	several	several	ADJ
ejpam-1170	26	3	generalization	generalization	NOUN
ejpam-1170	26	4	of	of	ADP
ejpam-1170	26	5	weibull	weibull	NOUN
ejpam-1170	26	6	distribution	distribution	NOUN
ejpam-1170	26	7	has	have	AUX
ejpam-1170	26	8	been	be	AUX
ejpam-1170	26	9	studied	study	VERB
ejpam-1170	26	10	.	.	PUNCT
ejpam-1170	27	1	an	an	DET
ejpam-1170	27	2	approach	approach	NOUN
ejpam-1170	27	3	to	to	ADP
ejpam-1170	27	4	the	the	DET
ejpam-1170	27	5	construction	construction	NOUN
ejpam-1170	27	6	of	of	ADP
ejpam-1170	27	7	flexible	flexible	ADJ
ejpam-1170	27	8	parametric	parametric	ADJ
ejpam-1170	27	9	models	model	NOUN
ejpam-1170	27	10	is	be	AUX
ejpam-1170	27	11	to	to	PART
ejpam-1170	27	12	embed	embed	VERB
ejpam-1170	27	13	appropriate	appropriate	ADJ
ejpam-1170	27	14	competing	compete	VERB
ejpam-1170	27	15	models	model	NOUN
ejpam-1170	27	16	into	into	ADP
ejpam-1170	27	17	a	a	DET
ejpam-1170	27	18	larger	large	ADJ
ejpam-1170	27	19	model	model	NOUN
ejpam-1170	27	20	by	by	ADP
ejpam-1170	27	21	adding	add	VERB
ejpam-1170	27	22	shape	shape	NOUN
ejpam-1170	27	23	parameter	parameter	NOUN
ejpam-1170	27	24	.	.	PUNCT
ejpam-1170	28	1	some	some	DET
ejpam-1170	28	2	recent	recent	ADJ
ejpam-1170	28	3	generalizations	generalization	NOUN
ejpam-1170	28	4	of	of	ADP
ejpam-1170	28	5	weibull	weibull	NOUN
ejpam-1170	28	6	distribution	distribution	NOUN
ejpam-1170	28	7	including	include	VERB
ejpam-1170	28	8	the	the	DET
ejpam-1170	28	9	exponentiated	exponentiated	ADJ
ejpam-1170	28	10	weibull	weibull	NOUN
ejpam-1170	28	11	,	,	PUNCT
ejpam-1170	28	12	extended	extend	VERB
ejpam-1170	28	13	weibull	weibull	NOUN
ejpam-1170	28	14	,	,	PUNCT
ejpam-1170	28	15	modified	modify	VERB
ejpam-1170	28	16	weibull	weibull	NOUN
ejpam-1170	28	17	are	be	AUX
ejpam-1170	28	18	discussed	discuss	VERB
ejpam-1170	28	19	in	in	ADP
ejpam-1170	28	20	pham	pham	PROPN
ejpam-1170	28	21	et	et	PROPN
ejpam-1170	28	22	al	al	PROPN
ejpam-1170	28	23	.	.	PUNCT
ejpam-1170	29	1	[	[	X
ejpam-1170	29	2	7	7	X
ejpam-1170	29	3	]	]	PUNCT
ejpam-1170	29	4	and	and	CCONJ
ejpam-1170	29	5	references	reference	NOUN
ejpam-1170	29	6	therein	therein	ADV
ejpam-1170	29	7	,	,	PUNCT
ejpam-1170	29	8	along	along	ADP
ejpam-1170	29	9	with	with	ADP
ejpam-1170	29	10	their	their	PRON
ejpam-1170	29	11	reliability	reliability	NOUN
ejpam-1170	29	12	functions	function	NOUN
ejpam-1170	29	13	.	.	PUNCT
ejpam-1170	30	1	in	in	ADP
ejpam-1170	30	2	this	this	DET
ejpam-1170	30	3	article	article	NOUN
ejpam-1170	30	4	we	we	PRON
ejpam-1170	30	5	present	present	VERB
ejpam-1170	30	6	a	a	DET
ejpam-1170	30	7	new	new	ADJ
ejpam-1170	30	8	generalization	generalization	NOUN
ejpam-1170	30	9	of	of	ADP
ejpam-1170	30	10	weibull	weibull	PROPN
ejpam-1170	30	11	distribution	distribution	NOUN
ejpam-1170	30	12	called	call	VERB
ejpam-1170	30	13	the	the	DET
ejpam-1170	30	14	transmuted	transmuted	ADJ
ejpam-1170	30	15	weibull	weibull	NOUN
ejpam-1170	30	16	distribution	distribution	NOUN
ejpam-1170	30	17	.	.	PUNCT
ejpam-1170	31	1	we	we	PRON
ejpam-1170	31	2	will	will	AUX
ejpam-1170	31	3	derive	derive	VERB
ejpam-1170	31	4	the	the	DET
ejpam-1170	31	5	subject	subject	ADJ
ejpam-1170	31	6	distribution	distribution	NOUN
ejpam-1170	31	7	using	use	VERB
ejpam-1170	31	8	the	the	DET
ejpam-1170	31	9	quadratic	quadratic	ADJ
ejpam-1170	31	10	rank	rank	NOUN
ejpam-1170	31	11	transmutation	transmutation	NOUN
ejpam-1170	31	12	map	map	NOUN
ejpam-1170	31	13	studied	study	VERB
ejpam-1170	31	14	by	by	ADP
ejpam-1170	31	15	shaw	shaw	PROPN
ejpam-1170	31	16	et	et	PROPN
ejpam-1170	31	17	al	al	PROPN
ejpam-1170	31	18	.	.	PUNCT
ejpam-1170	32	1	[	[	X
ejpam-1170	32	2	9	9	NUM
ejpam-1170	32	3	]	]	PUNCT
ejpam-1170	32	4	.	.	PUNCT
ejpam-1170	33	1	a	a	DET
ejpam-1170	33	2	random	random	ADJ
ejpam-1170	33	3	variable	variable	NOUN
ejpam-1170	33	4	x	x	PUNCT
ejpam-1170	33	5	is	be	AUX
ejpam-1170	33	6	said	say	VERB
ejpam-1170	33	7	to	to	PART
ejpam-1170	33	8	have	have	VERB
ejpam-1170	33	9	transmuted	transmute	VERB
ejpam-1170	33	10	distribution	distribution	NOUN
ejpam-1170	33	11	if	if	SCONJ
ejpam-1170	33	12	its	its	PRON
ejpam-1170	33	13	cumulative	cumulative	ADJ
ejpam-1170	33	14	distribution	distribution	NOUN
ejpam-1170	33	15	function(cdf	function(cdf	NOUN
ejpam-1170	33	16	)	)	PUNCT
ejpam-1170	33	17	is	be	AUX
ejpam-1170	33	18	given	give	VERB
ejpam-1170	33	19	by	by	ADP
ejpam-1170	33	20	f(x	f(x	PROPN
ejpam-1170	33	21	)	)	PUNCT
ejpam-1170	34	1	=	=	PUNCT
ejpam-1170	34	2	(	(	PUNCT
ejpam-1170	34	3	1+λ)g(x)−λg(x)2	1+λ)g(x)−λg(x)2	ADV
ejpam-1170	34	4	,	,	PUNCT
ejpam-1170	34	5	|λ|	|λ|	ADJ
ejpam-1170	34	6	≤	≤	NOUN
ejpam-1170	34	7	1	1	NUM
ejpam-1170	34	8	(	(	PUNCT
ejpam-1170	34	9	1	1	NUM
ejpam-1170	34	10	)	)	PUNCT
ejpam-1170	34	11	where	where	SCONJ
ejpam-1170	34	12	g(x	g(x	NOUN
ejpam-1170	34	13	)	)	PUNCT
ejpam-1170	34	14	is	be	AUX
ejpam-1170	34	15	the	the	DET
ejpam-1170	34	16	cdf	cdf	PROPN
ejpam-1170	34	17	of	of	ADP
ejpam-1170	34	18	the	the	DET
ejpam-1170	34	19	base	base	NOUN
ejpam-1170	34	20	distribution	distribution	NOUN
ejpam-1170	34	21	.	.	PUNCT
ejpam-1170	35	1	observe	observe	VERB
ejpam-1170	35	2	that	that	SCONJ
ejpam-1170	35	3	at	at	ADP
ejpam-1170	35	4	λ=	λ=	NOUN
ejpam-1170	35	5	0	0	NUM
ejpam-1170	36	1	we	we	PRON
ejpam-1170	36	2	have	have	VERB
ejpam-1170	36	3	the	the	DET
ejpam-1170	36	4	distribution	distribution	NOUN
ejpam-1170	36	5	of	of	ADP
ejpam-1170	36	6	the	the	DET
ejpam-1170	36	7	base	base	ADJ
ejpam-1170	36	8	random	random	ADJ
ejpam-1170	36	9	variable	variable	NOUN
ejpam-1170	36	10	.	.	PUNCT
ejpam-1170	37	1	aryal	aryal	PROPN
ejpam-1170	37	2	et	et	PROPN
ejpam-1170	37	3	al	al	PROPN
ejpam-1170	37	4	.	.	PUNCT
ejpam-1170	38	1	[	[	X
ejpam-1170	38	2	1	1	X
ejpam-1170	38	3	]	]	PUNCT
ejpam-1170	38	4	studied	study	VERB
ejpam-1170	38	5	the	the	DET
ejpam-1170	38	6	the	the	DET
ejpam-1170	38	7	transmuted	transmuted	ADJ
ejpam-1170	38	8	gumbel	gumbel	NOUN
ejpam-1170	38	9	distribution	distribution	NOUN
ejpam-1170	38	10	and	and	CCONJ
ejpam-1170	38	11	it	it	PRON
ejpam-1170	38	12	has	have	AUX
ejpam-1170	38	13	been	be	AUX
ejpam-1170	38	14	observed	observe	VERB
ejpam-1170	38	15	that	that	SCONJ
ejpam-1170	38	16	transmuted	transmute	VERB
ejpam-1170	38	17	gumbel	gumbel	NOUN
ejpam-1170	38	18	distribution	distribution	NOUN
ejpam-1170	38	19	can	can	AUX
ejpam-1170	38	20	be	be	AUX
ejpam-1170	38	21	used	use	VERB
ejpam-1170	38	22	to	to	PART
ejpam-1170	38	23	model	model	VERB
ejpam-1170	38	24	climate	climate	NOUN
ejpam-1170	38	25	data	datum	NOUN
ejpam-1170	38	26	.	.	PUNCT
ejpam-1170	39	1	in	in	ADP
ejpam-1170	39	2	the	the	DET
ejpam-1170	39	3	present	present	ADJ
ejpam-1170	39	4	study	study	NOUN
ejpam-1170	39	5	we	we	PRON
ejpam-1170	39	6	will	will	AUX
ejpam-1170	39	7	provide	provide	VERB
ejpam-1170	39	8	mathematical	mathematical	ADJ
ejpam-1170	39	9	formulation	formulation	NOUN
ejpam-1170	39	10	of	of	ADP
ejpam-1170	39	11	the	the	DET
ejpam-1170	39	12	transmuted	transmuted	ADJ
ejpam-1170	39	13	weibull	weibull	NOUN
ejpam-1170	39	14	distribution	distribution	NOUN
ejpam-1170	39	15	and	and	CCONJ
ejpam-1170	39	16	some	some	PRON
ejpam-1170	39	17	of	of	ADP
ejpam-1170	39	18	its	its	PRON
ejpam-1170	39	19	properties	property	NOUN
ejpam-1170	39	20	.	.	PUNCT
ejpam-1170	40	1	we	we	PRON
ejpam-1170	40	2	will	will	AUX
ejpam-1170	40	3	also	also	ADV
ejpam-1170	40	4	provide	provide	VERB
ejpam-1170	40	5	possible	possible	ADJ
ejpam-1170	40	6	area	area	NOUN
ejpam-1170	40	7	of	of	ADP
ejpam-1170	40	8	applications	application	NOUN
ejpam-1170	40	9	.	.	PUNCT
ejpam-1170	41	1	2	2	X
ejpam-1170	41	2	.	.	X
ejpam-1170	41	3	transmuted	transmute	VERB
ejpam-1170	41	4	weibull	weibull	NOUN
ejpam-1170	41	5	distribution	distribution	NOUN
ejpam-1170	41	6	a	a	DET
ejpam-1170	41	7	random	random	ADJ
ejpam-1170	41	8	variable	variable	NOUN
ejpam-1170	41	9	x	x	PUNCT
ejpam-1170	41	10	is	be	AUX
ejpam-1170	41	11	said	say	VERB
ejpam-1170	41	12	to	to	PART
ejpam-1170	41	13	have	have	VERB
ejpam-1170	41	14	a	a	DET
ejpam-1170	41	15	weibull	weibull	NOUN
ejpam-1170	41	16	distribution	distribution	NOUN
ejpam-1170	41	17	with	with	ADP
ejpam-1170	41	18	parameters	parameter	NOUN
ejpam-1170	41	19	η	η	PROPN
ejpam-1170	41	20	>	>	X
ejpam-1170	41	21	0	0	PROPN
ejpam-1170	41	22	and	and	CCONJ
ejpam-1170	41	23	σ	σ	NOUN
ejpam-1170	41	24	>	>	X
ejpam-1170	41	25	0	0	PUNCT
ejpam-1170	42	1	if	if	SCONJ
ejpam-1170	42	2	its	its	PRON
ejpam-1170	42	3	probability	probability	NOUN
ejpam-1170	42	4	density	density	NOUN
ejpam-1170	42	5	function	function	NOUN
ejpam-1170	42	6	(	(	PUNCT
ejpam-1170	42	7	pdf	pdf	NOUN
ejpam-1170	42	8	)	)	PUNCT
ejpam-1170	42	9	is	be	AUX
ejpam-1170	42	10	given	give	VERB
ejpam-1170	42	11	by	by	ADP
ejpam-1170	42	12	g(x	g(x	NOUN
ejpam-1170	42	13	)	)	PUNCT
ejpam-1170	42	14	=	=	SYM
ejpam-1170	42	15	η	η	PROPN
ejpam-1170	42	16	σ	σ	PROPN
ejpam-1170	42	17	�	�	PROPN
ejpam-1170	42	18	x	x	PROPN
ejpam-1170	42	19	σ	σ	PROPN
ejpam-1170	42	20	�	�	PROPN
ejpam-1170	42	21	η−1	η−1	PROPN
ejpam-1170	42	22	exp	exp	NOUN
ejpam-1170	42	23	�	�	PROPN
ejpam-1170	42	24	−	−	PROPN
ejpam-1170	42	25	�	�	PROPN
ejpam-1170	42	26	x	x	PROPN
ejpam-1170	42	27	σ	σ	PROPN
ejpam-1170	42	28	�	�	PROPN
ejpam-1170	42	29	η	η	PROPN
ejpam-1170	42	30	�	�	PROPN
ejpam-1170	42	31	x	x	SYM
ejpam-1170	42	32	>	>	X
ejpam-1170	42	33	0	0	PUNCT
ejpam-1170	42	34	(	(	PUNCT
ejpam-1170	42	35	2	2	X
ejpam-1170	42	36	)	)	PUNCT
ejpam-1170	42	37	the	the	DET
ejpam-1170	42	38	cdf	cdf	PROPN
ejpam-1170	42	39	of	of	ADP
ejpam-1170	42	40	x	x	PROPN
ejpam-1170	42	41	is	be	AUX
ejpam-1170	42	42	given	give	VERB
ejpam-1170	42	43	by	by	ADP
ejpam-1170	42	44	g(x	g(x	NOUN
ejpam-1170	42	45	)	)	PUNCT
ejpam-1170	43	1	=	=	SYM
ejpam-1170	43	2	1−	1−	NUM
ejpam-1170	43	3	exp	exp	NOUN
ejpam-1170	43	4	�	�	PROPN
ejpam-1170	43	5	−	−	PROPN
ejpam-1170	43	6	�	�	PROPN
ejpam-1170	43	7	x	x	PROPN
ejpam-1170	43	8	σ	σ	PROPN
ejpam-1170	43	9	�	�	PROPN
ejpam-1170	43	10	η	η	PROPN
ejpam-1170	43	11	�	�	PROPN
ejpam-1170	43	12	.	.	PUNCT
ejpam-1170	44	1	(	(	PUNCT
ejpam-1170	44	2	3	3	X
ejpam-1170	44	3	)	)	PUNCT
ejpam-1170	44	4	now	now	ADV
ejpam-1170	44	5	using	use	VERB
ejpam-1170	44	6	(	(	PUNCT
ejpam-1170	44	7	1	1	NUM
ejpam-1170	44	8	)	)	PUNCT
ejpam-1170	44	9	and	and	CCONJ
ejpam-1170	44	10	(	(	PUNCT
ejpam-1170	44	11	3	3	X
ejpam-1170	44	12	)	)	PUNCT
ejpam-1170	44	13	we	we	PRON
ejpam-1170	44	14	have	have	VERB
ejpam-1170	44	15	the	the	DET
ejpam-1170	44	16	cdf	cdf	NOUN
ejpam-1170	44	17	of	of	ADP
ejpam-1170	44	18	a	a	DET
ejpam-1170	44	19	transmuted	transmuted	ADJ
ejpam-1170	44	20	weibull	weibull	NOUN
ejpam-1170	44	21	distribution	distribution	NOUN
ejpam-1170	44	22	f(x	f(x	PROPN
ejpam-1170	44	23	)	)	PUNCT
ejpam-1170	45	1	=	=	SYM
ejpam-1170	45	2	�	�	PROPN
ejpam-1170	45	3	1−	1−	NUM
ejpam-1170	45	4	exp	exp	NOUN
ejpam-1170	45	5	�	�	PROPN
ejpam-1170	45	6	−	−	PROPN
ejpam-1170	45	7	�	�	PROPN
ejpam-1170	45	8	x	x	PROPN
ejpam-1170	45	9	σ	σ	PROPN
ejpam-1170	45	10	�	�	PROPN
ejpam-1170	45	11	η	η	PROPN
ejpam-1170	45	12	�	�	PROPN
ejpam-1170	45	13	�	�	PROPN
ejpam-1170	45	14	�	�	PROPN
ejpam-1170	45	15	1+λexp	1+λexp	NUM
ejpam-1170	45	16	�	�	PROPN
ejpam-1170	45	17	−	−	PROPN
ejpam-1170	45	18	�	�	PROPN
ejpam-1170	45	19	x	x	PROPN
ejpam-1170	45	20	σ	σ	PROPN
ejpam-1170	45	21	�	�	PROPN
ejpam-1170	45	22	η	η	PROPN
ejpam-1170	45	23	�	�	PROPN
ejpam-1170	45	24	�	�	PROPN
ejpam-1170	45	25	.	.	PUNCT
ejpam-1170	46	1	(	(	PUNCT
ejpam-1170	46	2	4	4	X
ejpam-1170	46	3	)	)	PUNCT
ejpam-1170	46	4	hence	hence	ADV
ejpam-1170	46	5	,	,	PUNCT
ejpam-1170	46	6	the	the	DET
ejpam-1170	46	7	pdf	pdf	NOUN
ejpam-1170	46	8	of	of	ADP
ejpam-1170	46	9	transmuted	transmute	VERB
ejpam-1170	46	10	weibull	weibull	NOUN
ejpam-1170	46	11	distribution	distribution	NOUN
ejpam-1170	46	12	with	with	ADP
ejpam-1170	46	13	parameters	parameter	NOUN
ejpam-1170	46	14	η	η	PROPN
ejpam-1170	46	15	,	,	PUNCT
ejpam-1170	46	16	σ	σ	PROPN
ejpam-1170	46	17	and	and	CCONJ
ejpam-1170	46	18	λ	λ	PROPN
ejpam-1170	46	19	is	be	AUX
ejpam-1170	46	20	f	f	X
ejpam-1170	46	21	(	(	PUNCT
ejpam-1170	46	22	x	x	NOUN
ejpam-1170	46	23	)	)	PUNCT
ejpam-1170	46	24	=	=	SYM
ejpam-1170	46	25	η	η	PROPN
ejpam-1170	46	26	σ	σ	PROPN
ejpam-1170	46	27	�	�	PROPN
ejpam-1170	46	28	x	x	PROPN
ejpam-1170	46	29	σ	σ	PROPN
ejpam-1170	46	30	�	�	PROPN
ejpam-1170	46	31	η−1	η−1	PROPN
ejpam-1170	46	32	exp	exp	NOUN
ejpam-1170	46	33	�	�	PROPN
ejpam-1170	46	34	−	−	PROPN
ejpam-1170	46	35	�	�	PROPN
ejpam-1170	46	36	x	x	PROPN
ejpam-1170	46	37	σ	σ	PROPN
ejpam-1170	46	38	�	�	PROPN
ejpam-1170	46	39	η	η	PROPN
ejpam-1170	46	40	�	�	PROPN
ejpam-1170	46	41	�	�	PROPN
ejpam-1170	46	42	1−λ+	1−λ+	NUM
ejpam-1170	46	43	2λexp	2λexp	NUM
ejpam-1170	46	44	�	�	PROPN
ejpam-1170	46	45	−	−	PROPN
ejpam-1170	46	46	�	�	PROPN
ejpam-1170	46	47	x	x	PROPN
ejpam-1170	46	48	σ	σ	PROPN
ejpam-1170	46	49	�	�	PROPN
ejpam-1170	46	50	η	η	PROPN
ejpam-1170	46	51	�	�	PROPN
ejpam-1170	46	52	�	�	PROPN
ejpam-1170	46	53	.	.	PUNCT
ejpam-1170	47	1	(	(	PUNCT
ejpam-1170	47	2	5	5	X
ejpam-1170	47	3	)	)	PUNCT
ejpam-1170	47	4	g.	g.	PROPN
ejpam-1170	47	5	aryal	aryal	PROPN
ejpam-1170	47	6	,	,	PUNCT
ejpam-1170	47	7	c.	c.	PROPN
ejpam-1170	47	8	tsokos	tsokos	PROPN
ejpam-1170	47	9	/	/	SYM
ejpam-1170	47	10	eur	eur	PROPN
ejpam-1170	47	11	.	.	PUNCT
ejpam-1170	48	1	j.	j.	PROPN
ejpam-1170	48	2	pure	pure	PROPN
ejpam-1170	48	3	appl	appl	PROPN
ejpam-1170	48	4	.	.	PROPN
ejpam-1170	48	5	math	math	PROPN
ejpam-1170	48	6	,	,	PUNCT
ejpam-1170	48	7	4	4	NUM
ejpam-1170	48	8	(	(	PUNCT
ejpam-1170	48	9	2011	2011	NUM
ejpam-1170	48	10	)	)	PUNCT
ejpam-1170	48	11	,	,	PUNCT
ejpam-1170	48	12	89	89	NUM
ejpam-1170	48	13	-	-	SYM
ejpam-1170	48	14	102	102	NUM
ejpam-1170	48	15	91	91	NUM
ejpam-1170	48	16	note	note	NOUN
ejpam-1170	48	17	that	that	SCONJ
ejpam-1170	48	18	the	the	DET
ejpam-1170	48	19	transmuted	transmuted	ADJ
ejpam-1170	48	20	weibull	weibull	NOUN
ejpam-1170	48	21	distribution	distribution	NOUN
ejpam-1170	48	22	is	be	AUX
ejpam-1170	48	23	an	an	DET
ejpam-1170	48	24	extended	extended	ADJ
ejpam-1170	48	25	model	model	NOUN
ejpam-1170	48	26	to	to	PART
ejpam-1170	48	27	analyze	analyze	VERB
ejpam-1170	48	28	more	more	ADJ
ejpam-1170	48	29	complex	complex	ADJ
ejpam-1170	48	30	data	datum	NOUN
ejpam-1170	48	31	and	and	CCONJ
ejpam-1170	48	32	it	it	PRON
ejpam-1170	48	33	generalizes	generalize	VERB
ejpam-1170	48	34	some	some	PRON
ejpam-1170	48	35	of	of	ADP
ejpam-1170	48	36	the	the	DET
ejpam-1170	48	37	widely	widely	ADV
ejpam-1170	48	38	used	use	VERB
ejpam-1170	48	39	distributions	distribution	NOUN
ejpam-1170	48	40	.	.	PUNCT
ejpam-1170	49	1	in	in	ADP
ejpam-1170	49	2	particular	particular	ADJ
ejpam-1170	49	3	for	for	ADP
ejpam-1170	49	4	η	η	PROPN
ejpam-1170	49	5	=	=	SYM
ejpam-1170	49	6	1	1	NUM
ejpam-1170	49	7	we	we	PRON
ejpam-1170	49	8	have	have	VERB
ejpam-1170	49	9	the	the	DET
ejpam-1170	49	10	transmuted	transmute	VERB
ejpam-1170	49	11	exponential	exponential	ADJ
ejpam-1170	49	12	distribution	distribution	NOUN
ejpam-1170	49	13	as	as	SCONJ
ejpam-1170	49	14	discussed	discuss	VERB
ejpam-1170	49	15	in	in	ADP
ejpam-1170	49	16	shaw	shaw	PROPN
ejpam-1170	49	17	et	et	PROPN
ejpam-1170	49	18	al.[9	al.[9	PROPN
ejpam-1170	49	19	]	]	PUNCT
ejpam-1170	49	20	.	.	PUNCT
ejpam-1170	50	1	the	the	DET
ejpam-1170	50	2	weibull	weibull	PROPN
ejpam-1170	50	3	distribution	distribution	NOUN
ejpam-1170	50	4	is	be	AUX
ejpam-1170	50	5	clearly	clearly	ADV
ejpam-1170	50	6	a	a	DET
ejpam-1170	50	7	special	special	ADJ
ejpam-1170	50	8	case	case	NOUN
ejpam-1170	50	9	for	for	ADP
ejpam-1170	50	10	λ=	λ=	NOUN
ejpam-1170	50	11	0	0	NUM
ejpam-1170	50	12	.	.	PUNCT
ejpam-1170	51	1	when	when	SCONJ
ejpam-1170	51	2	η	η	PROPN
ejpam-1170	51	3	=	=	PRON
ejpam-1170	51	4	λ=	λ=	VERB
ejpam-1170	51	5	1	1	NUM
ejpam-1170	51	6	then	then	ADV
ejpam-1170	51	7	the	the	DET
ejpam-1170	51	8	resulting	result	VERB
ejpam-1170	51	9	distribution	distribution	NOUN
ejpam-1170	51	10	is	be	AUX
ejpam-1170	51	11	an	an	DET
ejpam-1170	51	12	exponential	exponential	ADJ
ejpam-1170	51	13	distribution	distribution	NOUN
ejpam-1170	51	14	with	with	ADP
ejpam-1170	51	15	parameter	parameter	NOUN
ejpam-1170	51	16	σ	σ	PROPN
ejpam-1170	51	17	2	2	PROPN
ejpam-1170	51	18	.	.	PUNCT
ejpam-1170	52	1	figure	figure	NOUN
ejpam-1170	52	2	1	1	NUM
ejpam-1170	52	3	illustrates	illustrate	VERB
ejpam-1170	52	4	some	some	PRON
ejpam-1170	52	5	of	of	ADP
ejpam-1170	52	6	the	the	DET
ejpam-1170	52	7	possible	possible	ADJ
ejpam-1170	52	8	shapes	shape	NOUN
ejpam-1170	52	9	of	of	ADP
ejpam-1170	52	10	the	the	DET
ejpam-1170	52	11	pdf	pdf	NOUN
ejpam-1170	52	12	of	of	ADP
ejpam-1170	52	13	a	a	DET
ejpam-1170	52	14	transmuted	transmuted	ADJ
ejpam-1170	52	15	weibull	weibull	NOUN
ejpam-1170	52	16	distribution	distribution	NOUN
ejpam-1170	52	17	for	for	ADP
ejpam-1170	52	18	selected	select	VERB
ejpam-1170	52	19	values	value	NOUN
ejpam-1170	52	20	of	of	ADP
ejpam-1170	52	21	the	the	DET
ejpam-1170	52	22	parameters	parameter	NOUN
ejpam-1170	52	23	λ	λ	PROPN
ejpam-1170	52	24	and	and	CCONJ
ejpam-1170	52	25	η	η	PROPN
ejpam-1170	52	26	and	and	CCONJ
ejpam-1170	52	27	for	for	ADP
ejpam-1170	52	28	σ	σ	PROPN
ejpam-1170	52	29	=	=	SYM
ejpam-1170	52	30	1	1	NUM
ejpam-1170	52	31	.	.	NOUN
ejpam-1170	52	32	0.0	0.0	NUM
ejpam-1170	52	33	0.5	0.5	NUM
ejpam-1170	52	34	1.0	1.0	NUM
ejpam-1170	52	35	1.5	1.5	NUM
ejpam-1170	52	36	2.0	2.0	NUM
ejpam-1170	52	37	2.5	2.5	NUM
ejpam-1170	52	38	3.0	3.0	NUM
ejpam-1170	52	39	0	0	NUM
ejpam-1170	52	40	.	.	PUNCT
ejpam-1170	52	41	0	0	NUM
ejpam-1170	53	1	0	0	NUM
ejpam-1170	53	2	.	.	NOUN
ejpam-1170	53	3	5	5	NUM
ejpam-1170	53	4	1	1	NUM
ejpam-1170	53	5	.	.	NOUN
ejpam-1170	53	6	0	0	NUM
ejpam-1170	54	1	1	1	NUM
ejpam-1170	54	2	.	.	SYM
ejpam-1170	54	3	5	5	NUM
ejpam-1170	54	4	x	x	SYM
ejpam-1170	54	5	f	f	X
ejpam-1170	54	6	(	(	PUNCT
ejpam-1170	54	7	x	x	NOUN
ejpam-1170	54	8	)	)	PUNCT
ejpam-1170	54	9	0.0	0.0	NUM
ejpam-1170	54	10	0.5	0.5	NUM
ejpam-1170	54	11	1.0	1.0	NUM
ejpam-1170	54	12	1.5	1.5	NUM
ejpam-1170	54	13	2.0	2.0	NUM
ejpam-1170	54	14	2.5	2.5	NUM
ejpam-1170	54	15	3.0	3.0	NUM
ejpam-1170	54	16	0	0	NUM
ejpam-1170	54	17	.	.	PUNCT
ejpam-1170	54	18	0	0	NUM
ejpam-1170	55	1	0	0	NUM
ejpam-1170	55	2	.	.	NOUN
ejpam-1170	55	3	5	5	NUM
ejpam-1170	55	4	1	1	NUM
ejpam-1170	55	5	.	.	NOUN
ejpam-1170	55	6	0	0	NUM
ejpam-1170	56	1	1	1	NUM
ejpam-1170	56	2	.	.	NUM
ejpam-1170	56	3	5	5	NUM
ejpam-1170	56	4	0.0	0.0	NUM
ejpam-1170	56	5	0.5	0.5	NUM
ejpam-1170	56	6	1.0	1.0	NUM
ejpam-1170	56	7	1.5	1.5	NUM
ejpam-1170	56	8	2.0	2.0	NUM
ejpam-1170	56	9	2.5	2.5	NUM
ejpam-1170	56	10	3.0	3.0	NUM
ejpam-1170	56	11	0	0	NUM
ejpam-1170	56	12	.	.	PUNCT
ejpam-1170	56	13	0	0	NUM
ejpam-1170	57	1	0	0	NUM
ejpam-1170	57	2	.	.	NOUN
ejpam-1170	57	3	5	5	NUM
ejpam-1170	57	4	1	1	NUM
ejpam-1170	57	5	.	.	NOUN
ejpam-1170	57	6	0	0	NUM
ejpam-1170	58	1	1	1	NUM
ejpam-1170	58	2	.	.	NUM
ejpam-1170	58	3	5	5	NUM
ejpam-1170	58	4	0.0	0.0	NUM
ejpam-1170	58	5	0.5	0.5	NUM
ejpam-1170	58	6	1.0	1.0	NUM
ejpam-1170	58	7	1.5	1.5	NUM
ejpam-1170	58	8	2.0	2.0	NUM
ejpam-1170	58	9	2.5	2.5	NUM
ejpam-1170	58	10	3.0	3.0	NUM
ejpam-1170	58	11	0	0	NUM
ejpam-1170	58	12	.	.	PUNCT
ejpam-1170	58	13	0	0	NUM
ejpam-1170	59	1	0	0	NUM
ejpam-1170	59	2	.	.	NOUN
ejpam-1170	59	3	5	5	NUM
ejpam-1170	59	4	1	1	NUM
ejpam-1170	59	5	.	.	NOUN
ejpam-1170	59	6	0	0	NUM
ejpam-1170	60	1	1	1	NUM
ejpam-1170	60	2	.	.	NUM
ejpam-1170	60	3	5	5	NUM
ejpam-1170	60	4	0.0	0.0	NUM
ejpam-1170	60	5	0.5	0.5	NUM
ejpam-1170	60	6	1.0	1.0	NUM
ejpam-1170	60	7	1.5	1.5	NUM
ejpam-1170	60	8	2.0	2.0	NUM
ejpam-1170	60	9	2.5	2.5	NUM
ejpam-1170	60	10	3.0	3.0	NUM
ejpam-1170	60	11	0	0	NUM
ejpam-1170	60	12	.	.	PUNCT
ejpam-1170	60	13	0	0	NUM
ejpam-1170	61	1	0	0	NUM
ejpam-1170	61	2	.	.	NOUN
ejpam-1170	61	3	5	5	NUM
ejpam-1170	61	4	1	1	NUM
ejpam-1170	61	5	.	.	NOUN
ejpam-1170	61	6	0	0	NUM
ejpam-1170	62	1	1	1	NUM
ejpam-1170	62	2	.	.	SYM
ejpam-1170	62	3	5	5	NUM
ejpam-1170	62	4	x	x	SYM
ejpam-1170	62	5	f	f	X
ejpam-1170	62	6	(	(	PUNCT
ejpam-1170	62	7	x	x	X
ejpam-1170	62	8	)	)	PUNCT
ejpam-1170	62	9	λ	λ	X
ejpam-1170	62	10	=	=	SYM
ejpam-1170	62	11	0	0	NUM
ejpam-1170	62	12	η	η	X
ejpam-1170	62	13	=	=	SYM
ejpam-1170	62	14	1	1	NUM
ejpam-1170	62	15	λ	λ	NOUN
ejpam-1170	62	16	=	=	SYM
ejpam-1170	62	17	−	−	PROPN
ejpam-1170	62	18	1	1	NUM
ejpam-1170	62	19	η	η	NOUN
ejpam-1170	62	20	=	=	SYM
ejpam-1170	62	21	2	2	NUM
ejpam-1170	62	22	λ	λ	NOUN
ejpam-1170	62	23	=	=	SYM
ejpam-1170	62	24	−	−	PROPN
ejpam-1170	62	25	0.5	0.5	NUM
ejpam-1170	62	26	η	η	X
ejpam-1170	62	27	=	=	SYM
ejpam-1170	62	28	0.5	0.5	NUM
ejpam-1170	62	29	λ	λ	NOUN
ejpam-1170	62	30	=	=	SYM
ejpam-1170	62	31	0.5	0.5	NUM
ejpam-1170	62	32	η	η	NOUN
ejpam-1170	62	33	=	=	SYM
ejpam-1170	62	34	0.5	0.5	NUM
ejpam-1170	62	35	λ	λ	NOUN
ejpam-1170	62	36	=	=	SYM
ejpam-1170	62	37	1	1	NUM
ejpam-1170	62	38	η	η	NOUN
ejpam-1170	62	39	=	=	SYM
ejpam-1170	62	40	2	2	NUM
ejpam-1170	62	41	figure	figure	NOUN
ejpam-1170	62	42	1	1	NUM
ejpam-1170	62	43	:	:	PUNCT
ejpam-1170	62	44	pdf	pdf	NOUN
ejpam-1170	62	45	of	of	ADP
ejpam-1170	62	46	transmuted	transmuted	ADJ
ejpam-1170	62	47	weibull	weibull	NOUN
ejpam-1170	62	48	distribution	distribution	NOUN
ejpam-1170	62	49	for	for	ADP
ejpam-1170	62	50	σ	σ	NOUN
ejpam-1170	62	51	=	=	SYM
ejpam-1170	62	52	1	1	NUM
ejpam-1170	62	53	and	and	CCONJ
ejpam-1170	62	54	di	di	NOUN
ejpam-1170	62	55	�	�	PROPN
ejpam-1170	62	56	erent	erent	NOUN
ejpam-1170	62	57	values	value	NOUN
ejpam-1170	62	58	of	of	ADP
ejpam-1170	62	59	λ	λ	PROPN
ejpam-1170	62	60	and	and	CCONJ
ejpam-1170	62	61	η	η	PROPN
ejpam-1170	62	62	3	3	NUM
ejpam-1170	62	63	.	.	PUNCT
ejpam-1170	62	64	moments	moment	NOUN
ejpam-1170	62	65	and	and	CCONJ
ejpam-1170	62	66	quantiles	quantile	NOUN
ejpam-1170	62	67	in	in	ADP
ejpam-1170	62	68	this	this	DET
ejpam-1170	62	69	section	section	NOUN
ejpam-1170	62	70	we	we	PRON
ejpam-1170	62	71	shall	shall	AUX
ejpam-1170	62	72	present	present	VERB
ejpam-1170	62	73	the	the	DET
ejpam-1170	62	74	moments	moment	NOUN
ejpam-1170	62	75	and	and	CCONJ
ejpam-1170	62	76	qunatiles	qunatile	NOUN
ejpam-1170	62	77	for	for	ADP
ejpam-1170	62	78	the	the	DET
ejpam-1170	62	79	transmuted	transmuted	ADJ
ejpam-1170	62	80	weibull	weibull	NOUN
ejpam-1170	62	81	distribution	distribution	NOUN
ejpam-1170	62	82	.	.	PUNCT
ejpam-1170	63	1	the	the	DET
ejpam-1170	63	2	kth	kth	PROPN
ejpam-1170	63	3	order	order	NOUN
ejpam-1170	63	4	moments	moment	NOUN
ejpam-1170	63	5	of	of	ADP
ejpam-1170	63	6	a	a	DET
ejpam-1170	63	7	transmuted	transmuted	ADJ
ejpam-1170	63	8	weibull	weibull	NOUN
ejpam-1170	63	9	random	random	ADJ
ejpam-1170	63	10	variable	variable	NOUN
ejpam-1170	63	11	x	x	INTJ
ejpam-1170	63	12	,	,	PUNCT
ejpam-1170	63	13	in	in	ADP
ejpam-1170	63	14	terms	term	NOUN
ejpam-1170	63	15	of	of	ADP
ejpam-1170	63	16	gamma	gamma	PROPN
ejpam-1170	63	17	function	function	PROPN
ejpam-1170	63	18	γ	γ	X
ejpam-1170	63	19	(	(	PUNCT
ejpam-1170	63	20	.	.	PUNCT
ejpam-1170	63	21	)	)	PUNCT
ejpam-1170	63	22	,	,	PUNCT
ejpam-1170	63	23	is	be	AUX
ejpam-1170	63	24	given	give	VERB
ejpam-1170	63	25	by	by	ADP
ejpam-1170	63	26	e(x	e(x	NUM
ejpam-1170	63	27	k	k	NOUN
ejpam-1170	63	28	)	)	PUNCT
ejpam-1170	63	29	=	=	PUNCT
ejpam-1170	63	30	σkγ	σkγ	NOUN
ejpam-1170	63	31	�	�	PROPN
ejpam-1170	63	32	1	1	NUM
ejpam-1170	63	33	+	+	PROPN
ejpam-1170	63	34	k	k	PROPN
ejpam-1170	63	35	η	η	PROPN
ejpam-1170	63	36	�	�	PROPN
ejpam-1170	63	37	§	§	PROPN
ejpam-1170	63	38	1−λ+λ2	1−λ+λ2	PROPN
ejpam-1170	63	39	−	−	PROPN
ejpam-1170	63	40	k	k	PROPN
ejpam-1170	63	41	η	η	PROPN
ejpam-1170	63	42	ª	ª	PROPN
ejpam-1170	63	43	(	(	PUNCT
ejpam-1170	63	44	6	6	NUM
ejpam-1170	63	45	)	)	PUNCT
ejpam-1170	63	46	moreover	moreover	ADV
ejpam-1170	63	47	,	,	PUNCT
ejpam-1170	63	48	if	if	SCONJ
ejpam-1170	63	49	k	k	PROPN
ejpam-1170	63	50	/	/	SYM
ejpam-1170	63	51	η	η	NOUN
ejpam-1170	63	52	=	=	NOUN
ejpam-1170	63	53	r	r	NOUN
ejpam-1170	63	54	is	be	AUX
ejpam-1170	63	55	a	a	DET
ejpam-1170	63	56	positive	positive	ADJ
ejpam-1170	63	57	integer	integer	NOUN
ejpam-1170	63	58	,	,	PUNCT
ejpam-1170	64	1	then	then	ADV
ejpam-1170	64	2	e(x	e(x	NUM
ejpam-1170	64	3	k	k	NOUN
ejpam-1170	64	4	)	)	PUNCT
ejpam-1170	64	5	=	=	SYM
ejpam-1170	64	6	σkr	σkr	PROPN
ejpam-1170	64	7	!	!	PUNCT
ejpam-1170	65	1	�	�	PROPN
ejpam-1170	65	2	1−λ+λ2−r	1−λ+λ2−r	NUM
ejpam-1170	65	3	�	�	PROPN
ejpam-1170	65	4	therefore	therefore	ADV
ejpam-1170	65	5	,	,	PUNCT
ejpam-1170	65	6	the	the	DET
ejpam-1170	65	7	expected	expect	VERB
ejpam-1170	65	8	value	value	NOUN
ejpam-1170	65	9	e(x	e(x	NUM
ejpam-1170	65	10	)	)	PUNCT
ejpam-1170	65	11	and	and	CCONJ
ejpam-1170	65	12	variance	variance	NOUN
ejpam-1170	65	13	var(x	var(x	PROPN
ejpam-1170	65	14	)	)	PUNCT
ejpam-1170	65	15	of	of	ADP
ejpam-1170	65	16	a	a	DET
ejpam-1170	65	17	transmuted	transmuted	ADJ
ejpam-1170	65	18	weibull	weibull	NOUN
ejpam-1170	65	19	random	random	ADJ
ejpam-1170	65	20	variable	variable	NOUN
ejpam-1170	65	21	x	x	X
ejpam-1170	65	22	are	be	AUX
ejpam-1170	65	23	,	,	PUNCT
ejpam-1170	65	24	respectively	respectively	ADV
ejpam-1170	65	25	,	,	PUNCT
ejpam-1170	65	26	given	give	VERB
ejpam-1170	65	27	by	by	ADP
ejpam-1170	65	28	e(x	e(x	NOUN
ejpam-1170	65	29	)	)	PUNCT
ejpam-1170	66	1	=	=	PUNCT
ejpam-1170	67	1	σγ	σγ	PART
ejpam-1170	67	2	�	�	PROPN
ejpam-1170	67	3	1	1	NUM
ejpam-1170	67	4	+	+	NUM
ejpam-1170	67	5	1	1	NUM
ejpam-1170	67	6	η	η	PROPN
ejpam-1170	67	7	�	�	PROPN
ejpam-1170	67	8	�	�	PROPN
ejpam-1170	67	9	1−λ+λ2	1−λ+λ2	PROPN
ejpam-1170	67	10	−	−	PROPN
ejpam-1170	67	11	1	1	NUM
ejpam-1170	67	12	η	η	PROPN
ejpam-1170	67	13	�	�	PROPN
ejpam-1170	67	14	,	,	PUNCT
ejpam-1170	67	15	g.	g.	PROPN
ejpam-1170	67	16	aryal	aryal	PROPN
ejpam-1170	67	17	,	,	PUNCT
ejpam-1170	67	18	c.	c.	PROPN
ejpam-1170	67	19	tsokos	tsokos	PROPN
ejpam-1170	67	20	/	/	SYM
ejpam-1170	67	21	eur	eur	PROPN
ejpam-1170	67	22	.	.	PUNCT
ejpam-1170	68	1	j.	j.	PROPN
ejpam-1170	68	2	pure	pure	PROPN
ejpam-1170	68	3	appl	appl	PROPN
ejpam-1170	68	4	.	.	PROPN
ejpam-1170	68	5	math	math	PROPN
ejpam-1170	68	6	,	,	PUNCT
ejpam-1170	68	7	4	4	NUM
ejpam-1170	68	8	(	(	PUNCT
ejpam-1170	68	9	2011	2011	NUM
ejpam-1170	68	10	)	)	PUNCT
ejpam-1170	68	11	,	,	PUNCT
ejpam-1170	68	12	89	89	NUM
ejpam-1170	68	13	-	-	SYM
ejpam-1170	68	14	102	102	NUM
ejpam-1170	68	15	92	92	NUM
ejpam-1170	68	16	var(x	var(x	NOUN
ejpam-1170	68	17	)	)	PUNCT
ejpam-1170	69	1	=	=	SYM
ejpam-1170	69	2	σ2	σ2	PROPN
ejpam-1170	69	3	�	�	PROPN
ejpam-1170	69	4	γ	γ	PROPN
ejpam-1170	69	5	�	�	PROPN
ejpam-1170	69	6	1	1	NUM
ejpam-1170	69	7	+	+	NUM
ejpam-1170	69	8	2	2	NUM
ejpam-1170	69	9	η	η	PROPN
ejpam-1170	69	10	�	�	PROPN
ejpam-1170	69	11	�	�	PROPN
ejpam-1170	69	12	1−λ+λ2	1−λ+λ2	PROPN
ejpam-1170	69	13	−	−	PROPN
ejpam-1170	69	14	2	2	NUM
ejpam-1170	69	15	η	η	PROPN
ejpam-1170	69	16	�	�	PROPN
ejpam-1170	69	17	−	−	PROPN
ejpam-1170	69	18	γ2	γ2	PROPN
ejpam-1170	69	19	�	�	PROPN
ejpam-1170	69	20	1	1	NUM
ejpam-1170	69	21	+	+	SYM
ejpam-1170	69	22	1	1	NUM
ejpam-1170	69	23	η	η	PROPN
ejpam-1170	69	24	�	�	PROPN
ejpam-1170	69	25	�	�	PROPN
ejpam-1170	69	26	1−λ+λ2	1−λ+λ2	PROPN
ejpam-1170	69	27	−	−	PROPN
ejpam-1170	69	28	1	1	NUM
ejpam-1170	69	29	η	η	PROPN
ejpam-1170	69	30	�	�	PROPN
ejpam-1170	69	31	2	2	NUM
ejpam-1170	69	32	�	�	PROPN
ejpam-1170	69	33	.	.	PUNCT
ejpam-1170	70	1	note	note	VERB
ejpam-1170	70	2	that	that	SCONJ
ejpam-1170	70	3	when	when	SCONJ
ejpam-1170	70	4	η	η	PROPN
ejpam-1170	70	5	=	=	SYM
ejpam-1170	70	6	k	k	PROPN
ejpam-1170	70	7	,	,	PUNCT
ejpam-1170	70	8	e(x	e(x	PROPN
ejpam-1170	70	9	k	k	NOUN
ejpam-1170	70	10	)	)	PUNCT
ejpam-1170	70	11	=	=	PRON
ejpam-1170	70	12	σk	σk	PROPN
ejpam-1170	70	13	�	�	PROPN
ejpam-1170	70	14	2−λ	2−λ	NUM
ejpam-1170	70	15	2	2	NUM
ejpam-1170	70	16	�	�	PROPN
ejpam-1170	70	17	.	.	PUNCT
ejpam-1170	71	1	the	the	DET
ejpam-1170	71	2	qth	qth	NOUN
ejpam-1170	71	3	quantile	quantile	NOUN
ejpam-1170	71	4	xq	xq	PROPN
ejpam-1170	71	5	of	of	ADP
ejpam-1170	71	6	the	the	DET
ejpam-1170	71	7	transmuted	transmuted	ADJ
ejpam-1170	71	8	weibull	weibull	NOUN
ejpam-1170	71	9	distribution	distribution	NOUN
ejpam-1170	71	10	can	can	AUX
ejpam-1170	71	11	be	be	AUX
ejpam-1170	71	12	obtained	obtain	VERB
ejpam-1170	71	13	from	from	ADP
ejpam-1170	71	14	(	(	PUNCT
ejpam-1170	71	15	4	4	NUM
ejpam-1170	71	16	)	)	PUNCT
ejpam-1170	71	17	as	as	ADP
ejpam-1170	71	18	xq	xq	PROPN
ejpam-1170	71	19	=	=	PROPN
ejpam-1170	71	20	σ	σ	PROPN
ejpam-1170	71	21			PROPN
ejpam-1170	71	22			ADJ
ejpam-1170	71	23			ADJ
ejpam-1170	71	24			ADJ
ejpam-1170	71	25			NOUN
ejpam-1170	71	26	−	−	VERB
ejpam-1170	71	27	ln	ln	ADJ
ejpam-1170	71	28			NOUN
ejpam-1170	71	29			ADP
ejpam-1170	71	30			ADJ
ejpam-1170	71	31	1−	1−	NUM
ejpam-1170	71	32			PROPN
ejpam-1170	71	33			NOUN
ejpam-1170	72	1	1+λ−	1+λ−	NUM
ejpam-1170	72	2	p	p	X
ejpam-1170	72	3	(	(	PUNCT
ejpam-1170	72	4	1+λ)2	1+λ)2	NUM
ejpam-1170	72	5	−	−	NOUN
ejpam-1170	72	6	4λq	4λq	ADJ
ejpam-1170	72	7	2λ	2λ	X
ejpam-1170	72	8			INTJ
ejpam-1170	72	9			PUNCT
ejpam-1170	73	1			PROPN
ejpam-1170	73	2			PROPN
ejpam-1170	73	3			NOUN
ejpam-1170	73	4			PROPN
ejpam-1170	73	5			PROPN
ejpam-1170	73	6			PROPN
ejpam-1170	73	7			PROPN
ejpam-1170	73	8			PROPN
ejpam-1170	73	9	1	1	NUM
ejpam-1170	73	10	/	/	SYM
ejpam-1170	73	11	η	η	PROPN
ejpam-1170	73	12	(	(	PUNCT
ejpam-1170	73	13	7	7	NUM
ejpam-1170	73	14	)	)	PUNCT
ejpam-1170	73	15	in	in	ADP
ejpam-1170	73	16	particular	particular	ADJ
ejpam-1170	73	17	,	,	PUNCT
ejpam-1170	73	18	the	the	DET
ejpam-1170	73	19	distribution	distribution	NOUN
ejpam-1170	73	20	median	median	NOUN
ejpam-1170	73	21	is	be	AUX
ejpam-1170	73	22	x0.5	x0.5	X
ejpam-1170	73	23	=	=	SYM
ejpam-1170	73	24	σ	σ	PROPN
ejpam-1170	73	25			PROPN
ejpam-1170	73	26			VERB
ejpam-1170	73	27	−	−	PROPN
ejpam-1170	73	28	ln	ln	ADJ
ejpam-1170	73	29			NOUN
ejpam-1170	73	30			NOUN
ejpam-1170	73	31			NOUN
ejpam-1170	73	32	λ−	λ−	PROPN
ejpam-1170	73	33	1	1	NUM
ejpam-1170	73	34	+	+	SYM
ejpam-1170	73	35	p	p	X
ejpam-1170	73	36	1+λ2	1+λ2	NUM
ejpam-1170	73	37	2λ	2λ	PROPN
ejpam-1170	73	38			PROPN
ejpam-1170	73	39			VERB
ejpam-1170	73	40			PUNCT
ejpam-1170	74	1			PROPN
ejpam-1170	74	2			PROPN
ejpam-1170	74	3			PROPN
ejpam-1170	74	4	1	1	NUM
ejpam-1170	74	5	/	/	SYM
ejpam-1170	74	6	η	η	PROPN
ejpam-1170	74	7	.	.	PROPN
ejpam-1170	74	8	3.1	3.1	NUM
ejpam-1170	74	9	.	.	PUNCT
ejpam-1170	74	10	random	random	ADJ
ejpam-1170	74	11	number	number	NOUN
ejpam-1170	74	12	generation	generation	NOUN
ejpam-1170	74	13	and	and	CCONJ
ejpam-1170	74	14	parameter	parameter	NOUN
ejpam-1170	74	15	estimation	estimation	NOUN
ejpam-1170	74	16	using	use	VERB
ejpam-1170	74	17	the	the	DET
ejpam-1170	74	18	method	method	NOUN
ejpam-1170	74	19	of	of	ADP
ejpam-1170	74	20	inversion	inversion	NOUN
ejpam-1170	74	21	we	we	PRON
ejpam-1170	74	22	can	can	AUX
ejpam-1170	74	23	generate	generate	VERB
ejpam-1170	74	24	random	random	ADJ
ejpam-1170	74	25	numbers	number	NOUN
ejpam-1170	74	26	from	from	ADP
ejpam-1170	74	27	the	the	DET
ejpam-1170	74	28	transmuted	transmuted	ADJ
ejpam-1170	74	29	weibull	weibull	NOUN
ejpam-1170	74	30	distribution	distribution	NOUN
ejpam-1170	74	31	as	as	ADP
ejpam-1170	74	32	1−	1−	NUM
ejpam-1170	74	33	exp	exp	NOUN
ejpam-1170	74	34	�	�	PROPN
ejpam-1170	74	35	−	−	PROPN
ejpam-1170	74	36	�	�	PROPN
ejpam-1170	74	37	x	x	PROPN
ejpam-1170	74	38	σ	σ	PROPN
ejpam-1170	74	39	�	�	PROPN
ejpam-1170	74	40	η	η	PROPN
ejpam-1170	74	41	�	�	PROPN
ejpam-1170	74	42	�	�	PROPN
ejpam-1170	74	43	(	(	PUNCT
ejpam-1170	74	44	1−λ	1−λ	NUM
ejpam-1170	74	45	)	)	PUNCT
ejpam-1170	74	46	+	+	PROPN
ejpam-1170	74	47	λexp	λexp	PROPN
ejpam-1170	74	48	�	�	PROPN
ejpam-1170	74	49	−	−	PROPN
ejpam-1170	74	50	�	�	PROPN
ejpam-1170	74	51	x	x	PROPN
ejpam-1170	74	52	σ	σ	PROPN
ejpam-1170	74	53	�	�	PROPN
ejpam-1170	74	54	η	η	PROPN
ejpam-1170	74	55	�	�	PROPN
ejpam-1170	74	56	�	�	PROPN
ejpam-1170	74	57	=	=	SYM
ejpam-1170	74	58	u	u	PROPN
ejpam-1170	74	59	where	where	SCONJ
ejpam-1170	74	60	u∼	u∼	PROPN
ejpam-1170	74	61	u(0,1	u(0,1	ADV
ejpam-1170	74	62	)	)	PUNCT
ejpam-1170	74	63	.	.	PUNCT
ejpam-1170	75	1	after	after	ADP
ejpam-1170	75	2	simple	simple	ADJ
ejpam-1170	75	3	calculation	calculation	NOUN
ejpam-1170	75	4	this	this	DET
ejpam-1170	75	5	yields	yield	VERB
ejpam-1170	75	6	x	x	PUNCT
ejpam-1170	75	7	=	=	SYM
ejpam-1170	75	8	σ	σ	PROPN
ejpam-1170	75	9			NOUN
ejpam-1170	75	10			ADJ
ejpam-1170	75	11			ADJ
ejpam-1170	75	12			ADJ
ejpam-1170	75	13			NOUN
ejpam-1170	75	14	−	−	VERB
ejpam-1170	75	15	ln	ln	ADJ
ejpam-1170	75	16			NOUN
ejpam-1170	75	17			ADP
ejpam-1170	75	18			ADJ
ejpam-1170	75	19	1−	1−	NUM
ejpam-1170	75	20			PROPN
ejpam-1170	75	21			NOUN
ejpam-1170	75	22	1+λ−	1+λ−	NUM
ejpam-1170	75	23	p	p	X
ejpam-1170	75	24	(	(	PUNCT
ejpam-1170	75	25	1+λ)2	1+λ)2	NUM
ejpam-1170	75	26	−	−	PROPN
ejpam-1170	75	27	4λu	4λu	PROPN
ejpam-1170	76	1	2λ	2λ	PROPN
ejpam-1170	76	2			PROPN
ejpam-1170	77	1			PUNCT
ejpam-1170	78	1			PROPN
ejpam-1170	78	2			PROPN
ejpam-1170	78	3			NOUN
ejpam-1170	78	4			PROPN
ejpam-1170	78	5			PROPN
ejpam-1170	78	6			PROPN
ejpam-1170	78	7			PROPN
ejpam-1170	78	8			PROPN
ejpam-1170	78	9	1	1	NUM
ejpam-1170	78	10	/	/	SYM
ejpam-1170	78	11	η	η	PROPN
ejpam-1170	78	12	.	.	PUNCT
ejpam-1170	79	1	(	(	PUNCT
ejpam-1170	79	2	8)	8)	NUM
ejpam-1170	79	3	one	one	PRON
ejpam-1170	79	4	can	can	AUX
ejpam-1170	79	5	use	use	VERB
ejpam-1170	79	6	equation	equation	NOUN
ejpam-1170	79	7	(	(	PUNCT
ejpam-1170	79	8	8)	8)	NUM
ejpam-1170	79	9	to	to	PART
ejpam-1170	79	10	generate	generate	VERB
ejpam-1170	79	11	random	random	ADJ
ejpam-1170	79	12	numbers	number	NOUN
ejpam-1170	79	13	when	when	SCONJ
ejpam-1170	79	14	the	the	DET
ejpam-1170	79	15	parameters	parameter	NOUN
ejpam-1170	79	16	η	η	PROPN
ejpam-1170	79	17	,	,	PUNCT
ejpam-1170	79	18	σ	σ	PROPN
ejpam-1170	79	19	and	and	CCONJ
ejpam-1170	79	20	λ	λ	NOUN
ejpam-1170	79	21	are	be	AUX
ejpam-1170	79	22	known	know	VERB
ejpam-1170	79	23	.	.	PUNCT
ejpam-1170	80	1	the	the	DET
ejpam-1170	80	2	maximum	maximum	ADJ
ejpam-1170	80	3	likelihood	likelihood	NOUN
ejpam-1170	80	4	estimates	estimate	NOUN
ejpam-1170	80	5	,	,	PUNCT
ejpam-1170	80	6	mles	mle	NOUN
ejpam-1170	80	7	,	,	PUNCT
ejpam-1170	80	8	of	of	ADP
ejpam-1170	80	9	the	the	DET
ejpam-1170	80	10	parameters	parameter	NOUN
ejpam-1170	80	11	that	that	PRON
ejpam-1170	80	12	are	be	AUX
ejpam-1170	80	13	inherent	inherent	ADJ
ejpam-1170	80	14	within	within	ADP
ejpam-1170	80	15	the	the	DET
ejpam-1170	80	16	transmuted	transmuted	ADJ
ejpam-1170	80	17	weibull	weibull	NOUN
ejpam-1170	80	18	probability	probability	NOUN
ejpam-1170	80	19	distribution	distribution	NOUN
ejpam-1170	80	20	function	function	NOUN
ejpam-1170	80	21	is	be	AUX
ejpam-1170	80	22	given	give	VERB
ejpam-1170	80	23	by	by	ADP
ejpam-1170	80	24	the	the	DET
ejpam-1170	80	25	following	following	NOUN
ejpam-1170	80	26	:	:	PUNCT
ejpam-1170	80	27	let	let	VERB
ejpam-1170	80	28	x1	x1	NUM
ejpam-1170	80	29	,	,	PUNCT
ejpam-1170	80	30	x2	x2	PROPN
ejpam-1170	80	31	,	,	PUNCT
ejpam-1170	80	32	·	·	PUNCT
ejpam-1170	80	33	·	·	PUNCT
ejpam-1170	80	34	·	·	PUNCT
ejpam-1170	80	35	,	,	PUNCT
ejpam-1170	80	36	xn	xn	PROPN
ejpam-1170	80	37	be	be	AUX
ejpam-1170	80	38	a	a	DET
ejpam-1170	80	39	sample	sample	NOUN
ejpam-1170	80	40	of	of	ADP
ejpam-1170	80	41	size	size	NOUN
ejpam-1170	80	42	n	n	CCONJ
ejpam-1170	80	43	from	from	ADP
ejpam-1170	80	44	a	a	DET
ejpam-1170	80	45	transmuted	transmuted	ADJ
ejpam-1170	80	46	weibull	weibull	NOUN
ejpam-1170	80	47	distribution	distribution	NOUN
ejpam-1170	80	48	.	.	PUNCT
ejpam-1170	81	1	then	then	ADV
ejpam-1170	81	2	the	the	DET
ejpam-1170	81	3	likelihood	likelihood	NOUN
ejpam-1170	81	4	function	function	NOUN
ejpam-1170	81	5	is	be	AUX
ejpam-1170	81	6	given	give	VERB
ejpam-1170	81	7	by	by	ADP
ejpam-1170	81	8	l	l	NOUN
ejpam-1170	81	9	=	=	PUNCT
ejpam-1170	81	10	�	�	PROPN
ejpam-1170	81	11	η	η	PROPN
ejpam-1170	81	12	σ	σ	PROPN
ejpam-1170	81	13	�	�	PROPN
ejpam-1170	81	14	n	n	PART
ejpam-1170	81	15	exp	exp	NOUN
ejpam-1170	81	16			NOUN
ejpam-1170	81	17	−	−	PROPN
ejpam-1170	81	18	n	n	PROPN
ejpam-1170	81	19	∑	∑	PROPN
ejpam-1170	81	20	i=1	i=1	PROPN
ejpam-1170	81	21	�	�	PROPN
ejpam-1170	81	22	x	x	VERB
ejpam-1170	81	23	i	i	PROPN
ejpam-1170	81	24	σ	σ	PROPN
ejpam-1170	81	25	�	�	PROPN
ejpam-1170	81	26	η	η	PROPN
ejpam-1170	81	27			PROPN
ejpam-1170	81	28			PROPN
ejpam-1170	81	29	n	n	NUM
ejpam-1170	81	30	∏	∏	PROPN
ejpam-1170	81	31	i=1	i=1	PROPN
ejpam-1170	81	32	�	�	PROPN
ejpam-1170	81	33	�	�	PROPN
ejpam-1170	81	34	x	x	PROPN
ejpam-1170	81	35	i	i	PROPN
ejpam-1170	81	36	σ	σ	PROPN
ejpam-1170	81	37	�	�	PROPN
ejpam-1170	81	38	η−1	η−1	PROPN
ejpam-1170	81	39	×	×	PROPN
ejpam-1170	81	40	�	�	PROPN
ejpam-1170	81	41	1−λ+	1−λ+	NUM
ejpam-1170	81	42	2λexp	2λexp	NUM
ejpam-1170	81	43	�	�	PROPN
ejpam-1170	81	44	−	−	NOUN
ejpam-1170	81	45	x	x	SYM
ejpam-1170	81	46	i	i	PROPN
ejpam-1170	81	47	σ	σ	PROPN
ejpam-1170	81	48	�	�	PROPN
ejpam-1170	81	49	η	η	PROPN
ejpam-1170	81	50	�	�	PROPN
ejpam-1170	81	51	�	�	PROPN
ejpam-1170	81	52	.	.	PUNCT
ejpam-1170	82	1	hence	hence	ADV
ejpam-1170	82	2	,	,	PUNCT
ejpam-1170	82	3	the	the	DET
ejpam-1170	82	4	log	log	NOUN
ejpam-1170	82	5	-	-	PUNCT
ejpam-1170	82	6	likelihood	likelihood	NOUN
ejpam-1170	82	7	function	function	NOUN
ejpam-1170	82	8	l	l	NOUN
ejpam-1170	82	9	=	=	SYM
ejpam-1170	82	10	ln	ln	ADJ
ejpam-1170	82	11	l	l	NOUN
ejpam-1170	82	12	becomes	become	VERB
ejpam-1170	82	13	l	l	NOUN
ejpam-1170	82	14	=	=	SYM
ejpam-1170	82	15	n	n	PROPN
ejpam-1170	82	16	ln	ln	PROPN
ejpam-1170	82	17	η	η	PROPN
ejpam-1170	82	18	σ	σ	PROPN
ejpam-1170	82	19	−	−	PROPN
ejpam-1170	83	1	n	n	PROPN
ejpam-1170	83	2	∑	∑	PROPN
ejpam-1170	83	3	i=1	i=1	PROPN
ejpam-1170	83	4	�	�	PROPN
ejpam-1170	83	5	x	x	VERB
ejpam-1170	84	1	i	i	PROPN
ejpam-1170	84	2	σ	σ	PROPN
ejpam-1170	84	3	�	�	PROPN
ejpam-1170	84	4	η	η	PROPN
ejpam-1170	84	5	+	+	PROPN
ejpam-1170	84	6	n	n	CCONJ
ejpam-1170	84	7	∑	∑	PROPN
ejpam-1170	84	8	i=1	i=1	PROPN
ejpam-1170	84	9	ln	ln	PROPN
ejpam-1170	84	10	�	�	PROPN
ejpam-1170	84	11	x	x	PROPN
ejpam-1170	85	1	i	i	PROPN
ejpam-1170	85	2	σ	σ	PROPN
ejpam-1170	85	3	�	�	PROPN
ejpam-1170	85	4	η−1	η−1	PROPN
ejpam-1170	85	5	+	+	CCONJ
ejpam-1170	85	6	n	n	CCONJ
ejpam-1170	85	7	∑	∑	PROPN
ejpam-1170	85	8	i=1	i=1	PROPN
ejpam-1170	85	9	ln	ln	ADJ
ejpam-1170	85	10	�	�	PROPN
ejpam-1170	85	11	1−λ+	1−λ+	NUM
ejpam-1170	85	12	2λexp	2λexp	NUM
ejpam-1170	85	13	�	�	PROPN
ejpam-1170	85	14	−	−	NOUN
ejpam-1170	85	15	x	x	SYM
ejpam-1170	85	16	i	i	PROPN
ejpam-1170	85	17	σ	σ	PROPN
ejpam-1170	85	18	�	�	PROPN
ejpam-1170	85	19	η	η	PROPN
ejpam-1170	85	20	�	�	PROPN
ejpam-1170	85	21	g.	g.	PROPN
ejpam-1170	85	22	aryal	aryal	PROPN
ejpam-1170	85	23	,	,	PUNCT
ejpam-1170	85	24	c.	c.	PROPN
ejpam-1170	85	25	tsokos	tsokos	PROPN
ejpam-1170	85	26	/	/	SYM
ejpam-1170	85	27	eur	eur	PROPN
ejpam-1170	85	28	.	.	PUNCT
ejpam-1170	86	1	j.	j.	PROPN
ejpam-1170	86	2	pure	pure	PROPN
ejpam-1170	86	3	appl	appl	PROPN
ejpam-1170	86	4	.	.	PROPN
ejpam-1170	86	5	math	math	PROPN
ejpam-1170	86	6	,	,	PUNCT
ejpam-1170	86	7	4	4	NUM
ejpam-1170	86	8	(	(	PUNCT
ejpam-1170	86	9	2011	2011	NUM
ejpam-1170	86	10	)	)	PUNCT
ejpam-1170	86	11	,	,	PUNCT
ejpam-1170	86	12	89	89	NUM
ejpam-1170	86	13	-	-	SYM
ejpam-1170	86	14	102	102	NUM
ejpam-1170	86	15	93	93	NUM
ejpam-1170	86	16	=	=	SYM
ejpam-1170	86	17	n	n	ADP
ejpam-1170	86	18	lnη−	lnη−	ADV
ejpam-1170	86	19	nη	nη	ADP
ejpam-1170	86	20	lnσ+	lnσ+	NOUN
ejpam-1170	86	21	(	(	PUNCT
ejpam-1170	86	22	η−	η−	PROPN
ejpam-1170	86	23	1	1	NUM
ejpam-1170	86	24	)	)	PUNCT
ejpam-1170	87	1	n	n	CCONJ
ejpam-1170	87	2	∑	∑	ADV
ejpam-1170	87	3	i=1	i=1	X
ejpam-1170	87	4	ln(x	ln(x	X
ejpam-1170	88	1	i)−	i)−	PROPN
ejpam-1170	88	2	n	n	ADP
ejpam-1170	88	3	∑	∑	PROPN
ejpam-1170	88	4	i=1	i=1	PROPN
ejpam-1170	88	5	�	�	PROPN
ejpam-1170	89	1	x	x	VERB
ejpam-1170	89	2	i	i	PROPN
ejpam-1170	89	3	σ	σ	PROPN
ejpam-1170	89	4	�	�	PROPN
ejpam-1170	89	5	η	η	PROPN
ejpam-1170	89	6	+	+	PROPN
ejpam-1170	89	7	n	n	CCONJ
ejpam-1170	89	8	∑	∑	PROPN
ejpam-1170	89	9	i=1	i=1	PROPN
ejpam-1170	89	10	ln	ln	ADJ
ejpam-1170	89	11	�	�	PROPN
ejpam-1170	89	12	1−λ+	1−λ+	NUM
ejpam-1170	89	13	2λexp	2λexp	NUM
ejpam-1170	89	14	�	�	PROPN
ejpam-1170	89	15	−	−	NOUN
ejpam-1170	89	16	x	x	SYM
ejpam-1170	89	17	i	i	PROPN
ejpam-1170	89	18	σ	σ	PROPN
ejpam-1170	89	19	�	�	PROPN
ejpam-1170	89	20	η	η	PROPN
ejpam-1170	89	21	�	�	PROPN
ejpam-1170	89	22	.(9	.(9	NOUN
ejpam-1170	89	23	)	)	PUNCT
ejpam-1170	89	24	therefore	therefore	ADV
ejpam-1170	89	25	,	,	PUNCT
ejpam-1170	89	26	the	the	DET
ejpam-1170	89	27	mles	mle	NOUN
ejpam-1170	89	28	of	of	ADP
ejpam-1170	89	29	η	η	PROPN
ejpam-1170	89	30	,	,	PUNCT
ejpam-1170	89	31	σ	σ	PROPN
ejpam-1170	89	32	and	and	CCONJ
ejpam-1170	89	33	λ	λ	PROPN
ejpam-1170	89	34	which	which	PRON
ejpam-1170	89	35	maximize	maximize	VERB
ejpam-1170	89	36	(	(	PUNCT
ejpam-1170	89	37	9	9	NUM
ejpam-1170	89	38	)	)	PUNCT
ejpam-1170	89	39	must	must	AUX
ejpam-1170	89	40	satisfy	satisfy	VERB
ejpam-1170	89	41	the	the	DET
ejpam-1170	89	42	following	follow	VERB
ejpam-1170	89	43	normal	normal	ADJ
ejpam-1170	89	44	equations	equation	NOUN
ejpam-1170	89	45	∂l	∂l	PROPN
ejpam-1170	89	46	∂	∂	NUM
ejpam-1170	89	47	η	η	PROPN
ejpam-1170	89	48	=	=	PROPN
ejpam-1170	89	49	n	n	PROPN
ejpam-1170	89	50	η	η	PROPN
ejpam-1170	89	51	+	+	PROPN
ejpam-1170	89	52	n	n	CCONJ
ejpam-1170	89	53	∑	∑	ADP
ejpam-1170	89	54	i=1	i=1	PROPN
ejpam-1170	89	55	�	�	PROPN
ejpam-1170	89	56	1−	1−	NUM
ejpam-1170	89	57	�	�	PROPN
ejpam-1170	89	58	x	x	PUNCT
ejpam-1170	89	59	i	i	PROPN
ejpam-1170	89	60	σ	σ	PROPN
ejpam-1170	89	61	�	�	PROPN
ejpam-1170	89	62	η	η	PROPN
ejpam-1170	89	63	�	�	PROPN
ejpam-1170	89	64	ln	ln	ADJ
ejpam-1170	89	65	�	�	PROPN
ejpam-1170	90	1	x	x	PUNCT
ejpam-1170	90	2	i	i	PROPN
ejpam-1170	90	3	σ	σ	PROPN
ejpam-1170	90	4	�	�	PROPN
ejpam-1170	90	5	−	−	PROPN
ejpam-1170	90	6	2λ	2λ	PROPN
ejpam-1170	91	1	n	n	CCONJ
ejpam-1170	91	2	∑	∑	PROPN
ejpam-1170	91	3	i=1	i=1	X
ejpam-1170	91	4	ln(x	ln(x	PUNCT
ejpam-1170	92	1	i	i	PRON
ejpam-1170	92	2	/	/	SYM
ejpam-1170	92	3	σ)(x	σ)(x	VERB
ejpam-1170	92	4	i	i	PROPN
ejpam-1170	92	5	/	/	SYM
ejpam-1170	92	6	σ	σ	PROPN
ejpam-1170	92	7	)	)	PUNCT
ejpam-1170	92	8	η	η	PROPN
ejpam-1170	92	9	exp(−(x	exp(−(x	PROPN
ejpam-1170	92	10	i	i	PROPN
ejpam-1170	92	11	/	/	SYM
ejpam-1170	92	12	σ	σ	PROPN
ejpam-1170	92	13	)	)	PUNCT
ejpam-1170	92	14	η	η	PROPN
ejpam-1170	92	15	)	)	PUNCT
ejpam-1170	92	16	�	�	PROPN
ejpam-1170	93	1	1−λ+	1−λ+	NUM
ejpam-1170	93	2	2λexp(−(x	2λexp(−(x	NOUN
ejpam-1170	93	3	i	i	PROPN
ejpam-1170	93	4	/	/	SYM
ejpam-1170	93	5	σ	σ	PROPN
ejpam-1170	93	6	)	)	PUNCT
ejpam-1170	93	7	η	η	PROPN
ejpam-1170	93	8	)	)	PUNCT
ejpam-1170	93	9	�	�	PROPN
ejpam-1170	93	10	=	=	SYM
ejpam-1170	93	11	0	0	NUM
ejpam-1170	93	12	,	,	PUNCT
ejpam-1170	93	13	∂l	∂l	PROPN
ejpam-1170	93	14	∂	∂	NOUN
ejpam-1170	94	1	σ	σ	NOUN
ejpam-1170	94	2	=	=	SYM
ejpam-1170	95	1	−	−	PROPN
ejpam-1170	95	2	η	η	PROPN
ejpam-1170	95	3	σ	σ	PROPN
ejpam-1170	95	4	n	n	PROPN
ejpam-1170	95	5	∑	∑	PROPN
ejpam-1170	95	6	i=1	i=1	PROPN
ejpam-1170	95	7	�	�	PROPN
ejpam-1170	95	8	1−	1−	NUM
ejpam-1170	95	9	�	�	PROPN
ejpam-1170	95	10	x	x	PUNCT
ejpam-1170	95	11	i	i	PROPN
ejpam-1170	95	12	σ	σ	PROPN
ejpam-1170	95	13	�	�	PROPN
ejpam-1170	95	14	η	η	PROPN
ejpam-1170	95	15	�	�	PROPN
ejpam-1170	95	16	+	+	CCONJ
ejpam-1170	95	17	2λη	2λη	ADJ
ejpam-1170	95	18	σ	σ	PROPN
ejpam-1170	95	19	n	n	PROPN
ejpam-1170	95	20	∑	∑	PROPN
ejpam-1170	95	21	i=1	i=1	PROPN
ejpam-1170	95	22	(	(	PUNCT
ejpam-1170	95	23	x	x	PROPN
ejpam-1170	95	24	i	i	PROPN
ejpam-1170	95	25	/	/	SYM
ejpam-1170	95	26	σ	σ	PROPN
ejpam-1170	95	27	)	)	PUNCT
ejpam-1170	95	28	η	η	PROPN
ejpam-1170	95	29	exp(−(x	exp(−(x	PROPN
ejpam-1170	95	30	i	i	PROPN
ejpam-1170	95	31	/	/	SYM
ejpam-1170	95	32	σ	σ	PROPN
ejpam-1170	95	33	)	)	PUNCT
ejpam-1170	95	34	η	η	PROPN
ejpam-1170	95	35	)	)	PUNCT
ejpam-1170	95	36	�	�	PROPN
ejpam-1170	96	1	1−λ+	1−λ+	NUM
ejpam-1170	96	2	2λexp(−(x	2λexp(−(x	NOUN
ejpam-1170	96	3	i	i	PROPN
ejpam-1170	96	4	/	/	SYM
ejpam-1170	96	5	σ	σ	PROPN
ejpam-1170	96	6	)	)	PUNCT
ejpam-1170	96	7	η	η	PROPN
ejpam-1170	96	8	)	)	PUNCT
ejpam-1170	96	9	�	�	PROPN
ejpam-1170	96	10	=	=	SYM
ejpam-1170	96	11	0	0	NUM
ejpam-1170	96	12	,	,	PUNCT
ejpam-1170	96	13	∂l	∂l	PROPN
ejpam-1170	96	14	∂	∂	NOUN
ejpam-1170	97	1	λ	λ	X
ejpam-1170	97	2	=	=	SYM
ejpam-1170	97	3	n	n	PROPN
ejpam-1170	97	4	∑	∑	PROPN
ejpam-1170	97	5	i=1	i=1	PROPN
ejpam-1170	97	6	2	2	NUM
ejpam-1170	97	7	exp(−(x	exp(−(x	ADJ
ejpam-1170	97	8	i	i	PROPN
ejpam-1170	97	9	/	/	SYM
ejpam-1170	97	10	σ	σ	PROPN
ejpam-1170	97	11	)	)	PUNCT
ejpam-1170	97	12	η)−	η)−	PROPN
ejpam-1170	97	13	1	1	NUM
ejpam-1170	97	14	�	�	PROPN
ejpam-1170	97	15	1−λ+	1−λ+	NUM
ejpam-1170	97	16	2λexp(−(x	2λexp(−(x	NOUN
ejpam-1170	98	1	i	i	PROPN
ejpam-1170	98	2	/	/	SYM
ejpam-1170	98	3	σ	σ	PROPN
ejpam-1170	98	4	)	)	PUNCT
ejpam-1170	98	5	η	η	PROPN
ejpam-1170	98	6	)	)	PUNCT
ejpam-1170	98	7	�	�	PROPN
ejpam-1170	98	8	=	=	SYM
ejpam-1170	98	9	0	0	PROPN
ejpam-1170	98	10	.	.	PUNCT
ejpam-1170	99	1	the	the	DET
ejpam-1170	99	2	maximum	maximum	ADJ
ejpam-1170	99	3	likelihood	likelihood	NOUN
ejpam-1170	99	4	estimator	estimator	NOUN
ejpam-1170	99	5	θ̂	θ̂	NUM
ejpam-1170	99	6	=	=	SYM
ejpam-1170	99	7	�	�	PROPN
ejpam-1170	99	8	η̂	η̂	NUM
ejpam-1170	99	9	,	,	PUNCT
ejpam-1170	99	10	σ̂	σ̂	NUM
ejpam-1170	99	11	,	,	PUNCT
ejpam-1170	99	12	λ̂	λ̂	X
ejpam-1170	99	13	�	�	PROPN
ejpam-1170	99	14	′	′	NUM
ejpam-1170	99	15	of	of	ADP
ejpam-1170	99	16	θ	θ	PROPN
ejpam-1170	99	17	=	=	SYM
ejpam-1170	99	18	�	�	PROPN
ejpam-1170	99	19	η	η	PROPN
ejpam-1170	99	20	,	,	PUNCT
ejpam-1170	99	21	σ	σ	PROPN
ejpam-1170	99	22	,	,	PUNCT
ejpam-1170	99	23	λ	λ	PROPN
ejpam-1170	99	24	�	�	PROPN
ejpam-1170	99	25	′	′	NUM
ejpam-1170	99	26	is	be	AUX
ejpam-1170	99	27	obtained	obtain	VERB
ejpam-1170	99	28	by	by	ADP
ejpam-1170	99	29	solving	solve	VERB
ejpam-1170	99	30	this	this	DET
ejpam-1170	99	31	nonlinear	nonlinear	ADJ
ejpam-1170	99	32	system	system	NOUN
ejpam-1170	99	33	of	of	ADP
ejpam-1170	99	34	equations	equation	NOUN
ejpam-1170	99	35	.	.	PUNCT
ejpam-1170	100	1	it	it	PRON
ejpam-1170	100	2	is	be	AUX
ejpam-1170	100	3	usually	usually	ADV
ejpam-1170	100	4	more	more	ADV
ejpam-1170	100	5	convenient	convenient	ADJ
ejpam-1170	100	6	to	to	PART
ejpam-1170	100	7	use	use	VERB
ejpam-1170	100	8	nonlinear	nonlinear	ADJ
ejpam-1170	100	9	optimization	optimization	NOUN
ejpam-1170	100	10	algorithms	algorithm	NOUN
ejpam-1170	100	11	such	such	ADJ
ejpam-1170	100	12	as	as	ADP
ejpam-1170	100	13	quasi	quasi	ADJ
ejpam-1170	100	14	-	-	PROPN
ejpam-1170	100	15	newton	newton	PROPN
ejpam-1170	100	16	algorithm	algorithm	NOUN
ejpam-1170	100	17	to	to	PART
ejpam-1170	100	18	numerically	numerically	ADV
ejpam-1170	100	19	maximize	maximize	VERB
ejpam-1170	100	20	the	the	DET
ejpam-1170	100	21	log	log	NOUN
ejpam-1170	100	22	-	-	PUNCT
ejpam-1170	100	23	likelihood	likelihood	NOUN
ejpam-1170	100	24	function	function	NOUN
ejpam-1170	100	25	given	give	VERB
ejpam-1170	100	26	in	in	ADP
ejpam-1170	100	27	(	(	PUNCT
ejpam-1170	100	28	9	9	NUM
ejpam-1170	100	29	)	)	PUNCT
ejpam-1170	100	30	.	.	PUNCT
ejpam-1170	101	1	in	in	ADP
ejpam-1170	101	2	order	order	NOUN
ejpam-1170	101	3	to	to	PART
ejpam-1170	101	4	compute	compute	VERB
ejpam-1170	101	5	the	the	DET
ejpam-1170	101	6	standard	standard	ADJ
ejpam-1170	101	7	error	error	NOUN
ejpam-1170	101	8	and	and	CCONJ
ejpam-1170	101	9	asymptotic	asymptotic	ADJ
ejpam-1170	101	10	confidence	confidence	NOUN
ejpam-1170	101	11	interval	interval	NOUN
ejpam-1170	101	12	we	we	PRON
ejpam-1170	101	13	use	use	VERB
ejpam-1170	101	14	the	the	DET
ejpam-1170	101	15	usual	usual	ADJ
ejpam-1170	101	16	large	large	ADJ
ejpam-1170	101	17	sample	sample	NOUN
ejpam-1170	101	18	approximation	approximation	NOUN
ejpam-1170	101	19	in	in	ADP
ejpam-1170	101	20	which	which	PRON
ejpam-1170	101	21	the	the	DET
ejpam-1170	101	22	maximum	maximum	ADJ
ejpam-1170	101	23	likelihood	likelihood	NOUN
ejpam-1170	101	24	estimators	estimator	NOUN
ejpam-1170	101	25	of	of	ADP
ejpam-1170	101	26	θ	θ	PROPN
ejpam-1170	101	27	can	can	AUX
ejpam-1170	101	28	be	be	AUX
ejpam-1170	101	29	treated	treat	VERB
ejpam-1170	101	30	as	as	ADP
ejpam-1170	101	31	being	be	AUX
ejpam-1170	101	32	approximately	approximately	ADV
ejpam-1170	101	33	trivariate	trivariate	ADJ
ejpam-1170	101	34	normal	normal	ADJ
ejpam-1170	101	35	.	.	PUNCT
ejpam-1170	102	1	hence	hence	ADV
ejpam-1170	102	2	as	as	ADP
ejpam-1170	102	3	n→∞	n→∞	NUM
ejpam-1170	102	4	,	,	PUNCT
ejpam-1170	102	5	the	the	DET
ejpam-1170	102	6	asymptotic	asymptotic	ADJ
ejpam-1170	102	7	distribution	distribution	NOUN
ejpam-1170	102	8	of	of	ADP
ejpam-1170	102	9	the	the	DET
ejpam-1170	102	10	mle	mle	PROPN
ejpam-1170	102	11	�	�	PROPN
ejpam-1170	102	12	η̂	η̂	X
ejpam-1170	102	13	,	,	PUNCT
ejpam-1170	102	14	σ̂	σ̂	NUM
ejpam-1170	102	15	,	,	PUNCT
ejpam-1170	102	16	λ̂	λ̂	X
ejpam-1170	102	17	�	�	PROPN
ejpam-1170	102	18	is	be	AUX
ejpam-1170	102	19	given	give	VERB
ejpam-1170	102	20	by	by	ADP
ejpam-1170	102	21	,	,	PUNCT
ejpam-1170	102	22	see	see	VERB
ejpam-1170	102	23	zaindin	zaindin	INTJ
ejpam-1170	102	24	et	et	PROPN
ejpam-1170	102	25	al	al	PROPN
ejpam-1170	102	26	.	.	PUNCT
ejpam-1170	103	1	[	[	X
ejpam-1170	103	2	10	10	NUM
ejpam-1170	103	3	]	]	PUNCT
ejpam-1170	103	4	,	,	PUNCT
ejpam-1170	103	5			PROPN
ejpam-1170	103	6			NOUN
ejpam-1170	103	7			PROPN
ejpam-1170	103	8	η̂	η̂	X
ejpam-1170	103	9	σ̂	σ̂	X
ejpam-1170	103	10	λ̂	λ̂	NUM
ejpam-1170	103	11			PROPN
ejpam-1170	103	12			NOUN
ejpam-1170	103	13			PUNCT
ejpam-1170	104	1	∼	∼	NOUN
ejpam-1170	104	2	n	n	PRON
ejpam-1170	104	3			NOUN
ejpam-1170	104	4			ADJ
ejpam-1170	104	5			NUM
ejpam-1170	104	6			NOUN
ejpam-1170	104	7			NOUN
ejpam-1170	104	8			PROPN
ejpam-1170	104	9	η	η	PROPN
ejpam-1170	104	10	σ	σ	PROPN
ejpam-1170	104	11	λ	λ	PROPN
ejpam-1170	104	12			PROPN
ejpam-1170	104	13			NOUN
ejpam-1170	104	14			X
ejpam-1170	104	15	,	,	PUNCT
ejpam-1170	104	16			PROPN
ejpam-1170	104	17			NOUN
ejpam-1170	104	18			NOUN
ejpam-1170	104	19	v̂11	v̂11	PROPN
ejpam-1170	104	20	v̂12	v̂12	PROPN
ejpam-1170	104	21	v̂13	v̂13	NOUN
ejpam-1170	104	22	v̂21	v̂21	PROPN
ejpam-1170	104	23	v̂22	v̂22	PROPN
ejpam-1170	104	24	v̂23	v̂23	PROPN
ejpam-1170	104	25	v̂31	v̂31	PROPN
ejpam-1170	104	26	v̂32	v̂32	PROPN
ejpam-1170	104	27	v̂33	v̂33	NOUN
ejpam-1170	104	28			PROPN
ejpam-1170	104	29			NOUN
ejpam-1170	104	30			PUNCT
ejpam-1170	105	1			PROPN
ejpam-1170	105	2			PROPN
ejpam-1170	105	3			PROPN
ejpam-1170	105	4	(	(	PUNCT
ejpam-1170	105	5	10	10	NUM
ejpam-1170	105	6	)	)	PUNCT
ejpam-1170	105	7	where	where	SCONJ
ejpam-1170	105	8	,	,	PUNCT
ejpam-1170	105	9	v̂i	v̂i	ADP
ejpam-1170	105	10	j	j	NOUN
ejpam-1170	105	11	=	=	SYM
ejpam-1170	105	12	vi	vi	PROPN
ejpam-1170	105	13	j	j	PROPN
ejpam-1170	105	14	|θ	|θ	X
ejpam-1170	105	15	=	=	NOUN
ejpam-1170	105	16	θ̂	θ̂	X
ejpam-1170	105	17	and	and	CCONJ
ejpam-1170	105	18			VERB
ejpam-1170	105	19			NOUN
ejpam-1170	105	20			NOUN
ejpam-1170	105	21	v11	v11	VERB
ejpam-1170	105	22	v12	v12	VERB
ejpam-1170	105	23	v13	v13	NOUN
ejpam-1170	105	24	v21	v21	NOUN
ejpam-1170	105	25	v22	v22	PROPN
ejpam-1170	105	26	v23	v23	PROPN
ejpam-1170	105	27	v31	v31	PROPN
ejpam-1170	105	28	v32	v32	PROPN
ejpam-1170	105	29	v33	v33	NOUN
ejpam-1170	105	30			PROPN
ejpam-1170	105	31			VERB
ejpam-1170	105	32			PUNCT
ejpam-1170	106	1	=	=	PUNCT
ejpam-1170	106	2			PROPN
ejpam-1170	106	3			NOUN
ejpam-1170	106	4			PROPN
ejpam-1170	106	5	a11	a11	PROPN
ejpam-1170	106	6	a12	a12	PROPN
ejpam-1170	106	7	a13	a13	PROPN
ejpam-1170	106	8	a21	a21	PROPN
ejpam-1170	106	9	a22	a22	PROPN
ejpam-1170	106	10	a23	a23	PROPN
ejpam-1170	106	11	a31	a31	PROPN
ejpam-1170	106	12	a32	a32	PROPN
ejpam-1170	106	13	a33	a33	PROPN
ejpam-1170	106	14			PROPN
ejpam-1170	106	15			NOUN
ejpam-1170	106	16			PUNCT
ejpam-1170	107	1	−1	−1	NOUN
ejpam-1170	107	2	is	be	AUX
ejpam-1170	107	3	the	the	DET
ejpam-1170	107	4	approximate	approximate	ADJ
ejpam-1170	107	5	variance	variance	NOUN
ejpam-1170	107	6	covariance	covariance	NOUN
ejpam-1170	107	7	matrix	matrix	NOUN
ejpam-1170	107	8	with	with	ADP
ejpam-1170	107	9	its	its	PRON
ejpam-1170	107	10	elements	element	NOUN
ejpam-1170	107	11	obtained	obtain	VERB
ejpam-1170	107	12	from	from	ADP
ejpam-1170	107	13	a11	a11	PROPN
ejpam-1170	107	14	=	=	SYM
ejpam-1170	107	15	−	−	PROPN
ejpam-1170	107	16	∂	∂	NUM
ejpam-1170	107	17	2l	2l	NOUN
ejpam-1170	107	18	∂	∂	NUM
ejpam-1170	107	19	η2	η2	PROPN
ejpam-1170	107	20	,	,	PUNCT
ejpam-1170	107	21	a12	a12	NUM
ejpam-1170	107	22	=	=	SYM
ejpam-1170	107	23	−	−	PROPN
ejpam-1170	107	24	∂	∂	NUM
ejpam-1170	107	25	2l	2l	NOUN
ejpam-1170	107	26	∂	∂	NOUN
ejpam-1170	107	27	η∂	η∂	PROPN
ejpam-1170	107	28	σ	σ	PROPN
ejpam-1170	107	29	,	,	PUNCT
ejpam-1170	107	30	a22	a22	PROPN
ejpam-1170	107	31	=	=	SYM
ejpam-1170	107	32	−	−	PROPN
ejpam-1170	107	33	∂	∂	NUM
ejpam-1170	107	34	2l	2l	NOUN
ejpam-1170	107	35	∂	∂	NUM
ejpam-1170	107	36	σ2	σ2	NOUN
ejpam-1170	107	37	,	,	PUNCT
ejpam-1170	107	38	a23	a23	PROPN
ejpam-1170	107	39	=	=	SYM
ejpam-1170	107	40	−	−	PROPN
ejpam-1170	107	41	∂	∂	NUM
ejpam-1170	107	42	2l	2l	NOUN
ejpam-1170	107	43	∂	∂	NOUN
ejpam-1170	107	44	σ∂	σ∂	VERB
ejpam-1170	107	45	λ	λ	NOUN
ejpam-1170	107	46	,	,	PUNCT
ejpam-1170	107	47	a33	a33	NOUN
ejpam-1170	107	48	=	=	SYM
ejpam-1170	107	49	−	−	PROPN
ejpam-1170	107	50	∂	∂	NUM
ejpam-1170	107	51	2l	2l	NOUN
ejpam-1170	107	52	∂	∂	NUM
ejpam-1170	107	53	λ2	λ2	NOUN
ejpam-1170	107	54	,	,	PUNCT
ejpam-1170	107	55	a13	a13	NOUN
ejpam-1170	107	56	=	=	SYM
ejpam-1170	107	57	−	−	PROPN
ejpam-1170	107	58	∂	∂	NUM
ejpam-1170	107	59	2l	2l	NOUN
ejpam-1170	107	60	∂	∂	NOUN
ejpam-1170	107	61	η∂	η∂	NOUN
ejpam-1170	107	62	λ	λ	INTJ
ejpam-1170	107	63	.	.	PUNCT
ejpam-1170	108	1	where	where	SCONJ
ejpam-1170	108	2	l	l	NOUN
ejpam-1170	108	3	is	be	AUX
ejpam-1170	108	4	the	the	DET
ejpam-1170	108	5	log	log	NOUN
ejpam-1170	108	6	-	-	PUNCT
ejpam-1170	108	7	likelihood	likelihood	NOUN
ejpam-1170	108	8	function	function	NOUN
ejpam-1170	108	9	given	give	VERB
ejpam-1170	108	10	in	in	ADP
ejpam-1170	108	11	(	(	PUNCT
ejpam-1170	108	12	9	9	NUM
ejpam-1170	108	13	)	)	PUNCT
ejpam-1170	108	14	.	.	PUNCT
ejpam-1170	109	1	an	an	DET
ejpam-1170	109	2	approximate	approximate	ADJ
ejpam-1170	109	3	100(1−α)%	100(1−α)%	NUM
ejpam-1170	109	4	two	two	NUM
ejpam-1170	109	5	sided	sided	ADJ
ejpam-1170	109	6	confidence	confidence	NOUN
ejpam-1170	109	7	intervals	interval	NOUN
ejpam-1170	109	8	for	for	ADP
ejpam-1170	109	9	η	η	PROPN
ejpam-1170	109	10	,	,	PUNCT
ejpam-1170	109	11	σ	σ	PROPN
ejpam-1170	109	12	and	and	CCONJ
ejpam-1170	109	13	λ	λ	NOUN
ejpam-1170	109	14	are	be	AUX
ejpam-1170	109	15	,	,	PUNCT
ejpam-1170	109	16	respectively	respectively	ADV
ejpam-1170	109	17	,	,	PUNCT
ejpam-1170	109	18	given	give	VERB
ejpam-1170	109	19	by	by	ADP
ejpam-1170	109	20	η̂±	η̂±	PROPN
ejpam-1170	109	21	zα/2	zα/2	PROPN
ejpam-1170	109	22	p	p	PROPN
ejpam-1170	109	23	v̂11	v̂11	PROPN
ejpam-1170	109	24	,	,	PUNCT
ejpam-1170	109	25	σ̂±	σ̂±	PROPN
ejpam-1170	109	26	zα/2	zα/2	PROPN
ejpam-1170	109	27	p	p	NOUN
ejpam-1170	109	28	v̂22	v̂22	PROPN
ejpam-1170	109	29	and	and	CCONJ
ejpam-1170	109	30	λ̂±	λ̂±	NOUN
ejpam-1170	109	31	zα/2	zα/2	NOUN
ejpam-1170	110	1	p	p	NOUN
ejpam-1170	110	2	v̂33	v̂33	PROPN
ejpam-1170	110	3	.	.	PUNCT
ejpam-1170	111	1	g.	g.	PROPN
ejpam-1170	111	2	aryal	aryal	PROPN
ejpam-1170	111	3	,	,	PUNCT
ejpam-1170	111	4	c.	c.	PROPN
ejpam-1170	111	5	tsokos	tsokos	PROPN
ejpam-1170	111	6	/	/	SYM
ejpam-1170	111	7	eur	eur	PROPN
ejpam-1170	111	8	.	.	PUNCT
ejpam-1170	112	1	j.	j.	PROPN
ejpam-1170	112	2	pure	pure	PROPN
ejpam-1170	112	3	appl	appl	PROPN
ejpam-1170	112	4	.	.	PROPN
ejpam-1170	112	5	math	math	PROPN
ejpam-1170	112	6	,	,	PUNCT
ejpam-1170	112	7	4	4	NUM
ejpam-1170	112	8	(	(	PUNCT
ejpam-1170	112	9	2011	2011	NUM
ejpam-1170	112	10	)	)	PUNCT
ejpam-1170	112	11	,	,	PUNCT
ejpam-1170	112	12	89	89	NUM
ejpam-1170	112	13	-	-	SYM
ejpam-1170	112	14	102	102	NUM
ejpam-1170	112	15	94	94	NUM
ejpam-1170	112	16	where	where	SCONJ
ejpam-1170	112	17	zα	zα	PROPN
ejpam-1170	112	18	is	be	AUX
ejpam-1170	112	19	the	the	DET
ejpam-1170	112	20	upper	upper	ADJ
ejpam-1170	112	21	α−	α−	ADP
ejpam-1170	112	22	th	th	X
ejpam-1170	112	23	percentiles	percentile	NOUN
ejpam-1170	112	24	of	of	ADP
ejpam-1170	112	25	the	the	DET
ejpam-1170	112	26	standard	standard	ADJ
ejpam-1170	112	27	normal	normal	ADJ
ejpam-1170	112	28	distribution	distribution	NOUN
ejpam-1170	112	29	.	.	PUNCT
ejpam-1170	113	1	for	for	SCONJ
ejpam-1170	113	2	details	detail	NOUN
ejpam-1170	113	3	see	see	VERB
ejpam-1170	113	4	[	[	X
ejpam-1170	113	5	3	3	NUM
ejpam-1170	113	6	,	,	PUNCT
ejpam-1170	113	7	10	10	NUM
ejpam-1170	113	8	]	]	PUNCT
ejpam-1170	113	9	etc	etc	X
ejpam-1170	113	10	..	..	X
ejpam-1170	113	11	using	use	VERB
ejpam-1170	113	12	r	r	NOUN
ejpam-1170	113	13	[	[	X
ejpam-1170	113	14	2	2	X
ejpam-1170	113	15	]	]	PUNCT
ejpam-1170	113	16	we	we	PRON
ejpam-1170	113	17	can	can	AUX
ejpam-1170	113	18	easily	easily	ADV
ejpam-1170	113	19	compute	compute	VERB
ejpam-1170	113	20	the	the	DET
ejpam-1170	113	21	hessian	hessian	ADJ
ejpam-1170	113	22	matrix	matrix	NOUN
ejpam-1170	113	23	and	and	CCONJ
ejpam-1170	113	24	its	its	PRON
ejpam-1170	113	25	inverse	inverse	NOUN
ejpam-1170	113	26	and	and	CCONJ
ejpam-1170	113	27	hence	hence	ADV
ejpam-1170	113	28	the	the	DET
ejpam-1170	113	29	values	value	NOUN
ejpam-1170	113	30	of	of	ADP
ejpam-1170	113	31	the	the	DET
ejpam-1170	113	32	standard	standard	ADJ
ejpam-1170	113	33	error	error	NOUN
ejpam-1170	113	34	and	and	CCONJ
ejpam-1170	113	35	asymptotic	asymptotic	ADJ
ejpam-1170	113	36	confidence	confidence	NOUN
ejpam-1170	113	37	intervals	interval	NOUN
ejpam-1170	113	38	.	.	PUNCT
ejpam-1170	114	1	4	4	X
ejpam-1170	114	2	.	.	X
ejpam-1170	114	3	reliability	reliability	NOUN
ejpam-1170	114	4	analysis	analysis	NOUN
ejpam-1170	114	5	the	the	DET
ejpam-1170	114	6	transmuted	transmuted	ADJ
ejpam-1170	114	7	weibull	weibull	NOUN
ejpam-1170	114	8	distribution	distribution	NOUN
ejpam-1170	114	9	can	can	AUX
ejpam-1170	114	10	be	be	AUX
ejpam-1170	114	11	a	a	DET
ejpam-1170	114	12	useful	useful	ADJ
ejpam-1170	114	13	characterization	characterization	NOUN
ejpam-1170	114	14	of	of	ADP
ejpam-1170	114	15	failure	failure	NOUN
ejpam-1170	114	16	time	time	NOUN
ejpam-1170	114	17	of	of	ADP
ejpam-1170	114	18	a	a	DET
ejpam-1170	114	19	given	give	VERB
ejpam-1170	114	20	system	system	NOUN
ejpam-1170	114	21	because	because	SCONJ
ejpam-1170	114	22	of	of	ADP
ejpam-1170	114	23	the	the	DET
ejpam-1170	114	24	analytical	analytical	ADJ
ejpam-1170	114	25	structure	structure	NOUN
ejpam-1170	114	26	.	.	PUNCT
ejpam-1170	115	1	the	the	DET
ejpam-1170	115	2	reliability	reliability	NOUN
ejpam-1170	115	3	function	function	NOUN
ejpam-1170	115	4	r(t	r(t	NOUN
ejpam-1170	115	5	)	)	PUNCT
ejpam-1170	115	6	,	,	PUNCT
ejpam-1170	115	7	which	which	PRON
ejpam-1170	115	8	is	be	AUX
ejpam-1170	115	9	the	the	DET
ejpam-1170	115	10	probability	probability	NOUN
ejpam-1170	115	11	of	of	ADP
ejpam-1170	115	12	an	an	DET
ejpam-1170	115	13	item	item	NOUN
ejpam-1170	115	14	not	not	PART
ejpam-1170	115	15	failing	fail	VERB
ejpam-1170	115	16	prior	prior	ADV
ejpam-1170	115	17	to	to	ADP
ejpam-1170	115	18	some	some	DET
ejpam-1170	115	19	time	time	NOUN
ejpam-1170	115	20	t	t	PROPN
ejpam-1170	115	21	,	,	PUNCT
ejpam-1170	115	22	is	be	AUX
ejpam-1170	115	23	defined	define	VERB
ejpam-1170	115	24	by	by	ADP
ejpam-1170	115	25	r(t	r(t	NOUN
ejpam-1170	115	26	)	)	PUNCT
ejpam-1170	115	27	=	=	SYM
ejpam-1170	115	28	1−	1−	NUM
ejpam-1170	115	29	f(t	f(t	NOUN
ejpam-1170	115	30	)	)	PUNCT
ejpam-1170	115	31	.	.	PUNCT
ejpam-1170	116	1	the	the	DET
ejpam-1170	116	2	reliability	reliability	NOUN
ejpam-1170	116	3	function	function	NOUN
ejpam-1170	116	4	of	of	ADP
ejpam-1170	116	5	a	a	DET
ejpam-1170	116	6	transmuted	transmuted	ADJ
ejpam-1170	116	7	weibull	weibull	NOUN
ejpam-1170	116	8	distribution	distribution	NOUN
ejpam-1170	116	9	is	be	AUX
ejpam-1170	116	10	given	give	VERB
ejpam-1170	116	11	by	by	ADP
ejpam-1170	116	12	r(t	r(t	NOUN
ejpam-1170	116	13	)	)	PUNCT
ejpam-1170	117	1	=	=	SYM
ejpam-1170	117	2	exp	exp	NOUN
ejpam-1170	117	3	�	�	PROPN
ejpam-1170	117	4	−	−	PROPN
ejpam-1170	117	5	�	�	PROPN
ejpam-1170	117	6	t	t	PROPN
ejpam-1170	117	7	σ	σ	PROPN
ejpam-1170	117	8	�	�	PROPN
ejpam-1170	117	9	η	η	PROPN
ejpam-1170	117	10	�	�	PROPN
ejpam-1170	117	11	�	�	PROPN
ejpam-1170	117	12	1−λ+λexp	1−λ+λexp	NUM
ejpam-1170	117	13	�	�	PROPN
ejpam-1170	117	14	−	−	PROPN
ejpam-1170	117	15	�	�	PROPN
ejpam-1170	117	16	t	t	PROPN
ejpam-1170	117	17	σ	σ	PROPN
ejpam-1170	117	18	�	�	PROPN
ejpam-1170	117	19	η	η	PROPN
ejpam-1170	117	20	�	�	PROPN
ejpam-1170	117	21	�	�	PROPN
ejpam-1170	117	22	.	.	PUNCT
ejpam-1170	118	1	(	(	PUNCT
ejpam-1170	118	2	11	11	NUM
ejpam-1170	118	3	)	)	PUNCT
ejpam-1170	118	4	the	the	DET
ejpam-1170	118	5	other	other	ADJ
ejpam-1170	118	6	characteristic	characteristic	NOUN
ejpam-1170	118	7	of	of	ADP
ejpam-1170	118	8	interest	interest	NOUN
ejpam-1170	118	9	of	of	ADP
ejpam-1170	118	10	a	a	DET
ejpam-1170	118	11	random	random	ADJ
ejpam-1170	118	12	variable	variable	NOUN
ejpam-1170	118	13	is	be	AUX
ejpam-1170	118	14	the	the	DET
ejpam-1170	118	15	hazard	hazard	NOUN
ejpam-1170	118	16	rate	rate	NOUN
ejpam-1170	118	17	function	function	NOUN
ejpam-1170	118	18	defined	define	VERB
ejpam-1170	118	19	by	by	ADP
ejpam-1170	118	20	h(t	h(t	PROPN
ejpam-1170	118	21	)	)	PUNCT
ejpam-1170	119	1	=	=	SYM
ejpam-1170	119	2	f	f	PROPN
ejpam-1170	119	3	(	(	PUNCT
ejpam-1170	119	4	t	t	PROPN
ejpam-1170	119	5	)	)	PUNCT
ejpam-1170	119	6	1−	1−	NUM
ejpam-1170	119	7	f(t	f(t	NOUN
ejpam-1170	119	8	)	)	PUNCT
ejpam-1170	119	9	which	which	PRON
ejpam-1170	119	10	is	be	AUX
ejpam-1170	119	11	an	an	DET
ejpam-1170	119	12	important	important	ADJ
ejpam-1170	119	13	quantity	quantity	NOUN
ejpam-1170	119	14	characterizing	characterize	VERB
ejpam-1170	119	15	life	life	NOUN
ejpam-1170	119	16	phenomenon	phenomenon	NOUN
ejpam-1170	119	17	.	.	PUNCT
ejpam-1170	120	1	it	it	PRON
ejpam-1170	120	2	can	can	AUX
ejpam-1170	120	3	be	be	AUX
ejpam-1170	120	4	loosely	loosely	ADV
ejpam-1170	120	5	interpreted	interpret	VERB
ejpam-1170	120	6	as	as	ADP
ejpam-1170	120	7	the	the	DET
ejpam-1170	120	8	conditional	conditional	ADJ
ejpam-1170	120	9	probability	probability	NOUN
ejpam-1170	120	10	of	of	ADP
ejpam-1170	120	11	failure	failure	NOUN
ejpam-1170	120	12	,	,	PUNCT
ejpam-1170	120	13	given	give	VERB
ejpam-1170	120	14	it	it	PRON
ejpam-1170	120	15	has	have	AUX
ejpam-1170	120	16	survived	survive	VERB
ejpam-1170	120	17	to	to	ADP
ejpam-1170	120	18	the	the	DET
ejpam-1170	120	19	time	time	NOUN
ejpam-1170	120	20	t.	t.	PROPN
ejpam-1170	120	21	the	the	DET
ejpam-1170	120	22	hazard	hazard	NOUN
ejpam-1170	120	23	rate	rate	NOUN
ejpam-1170	120	24	function	function	NOUN
ejpam-1170	120	25	for	for	ADP
ejpam-1170	120	26	a	a	DET
ejpam-1170	120	27	transmuted	transmuted	ADJ
ejpam-1170	120	28	weibull	weibull	NOUN
ejpam-1170	120	29	random	random	ADJ
ejpam-1170	120	30	variable	variable	NOUN
ejpam-1170	120	31	is	be	AUX
ejpam-1170	120	32	given	give	VERB
ejpam-1170	120	33	by	by	ADP
ejpam-1170	120	34	h(t	h(t	PROPN
ejpam-1170	120	35	)	)	PUNCT
ejpam-1170	120	36	=	=	SYM
ejpam-1170	120	37	η	η	PROPN
ejpam-1170	120	38	σ	σ	PROPN
ejpam-1170	120	39	�	�	PROPN
ejpam-1170	120	40	t	t	PROPN
ejpam-1170	120	41	σ	σ	PROPN
ejpam-1170	120	42	�	�	PROPN
ejpam-1170	120	43	η−1	η−1	PROPN
ejpam-1170	120	44			NOUN
ejpam-1170	120	45			ADP
ejpam-1170	120	46			ADJ
ejpam-1170	120	47	1−λ+	1−λ+	NUM
ejpam-1170	120	48	2λexp	2λexp	NUM
ejpam-1170	120	49	�	�	PROPN
ejpam-1170	120	50	−	−	PROPN
ejpam-1170	120	51	�	�	PROPN
ejpam-1170	120	52	t	t	PROPN
ejpam-1170	120	53	σ	σ	PROPN
ejpam-1170	120	54	�	�	PROPN
ejpam-1170	120	55	η	η	PROPN
ejpam-1170	120	56	�	�	PROPN
ejpam-1170	120	57	1−λ+λexp	1−λ+λexp	NUM
ejpam-1170	120	58	�	�	PROPN
ejpam-1170	120	59	−	−	PROPN
ejpam-1170	120	60	�	�	PROPN
ejpam-1170	120	61	t	t	PROPN
ejpam-1170	120	62	σ	σ	PROPN
ejpam-1170	120	63	�	�	PROPN
ejpam-1170	120	64	η	η	PROPN
ejpam-1170	120	65	�	�	PROPN
ejpam-1170	120	66			PROPN
ejpam-1170	120	67			PROPN
ejpam-1170	120	68			NOUN
ejpam-1170	120	69	.	.	PUNCT
ejpam-1170	121	1	(	(	PUNCT
ejpam-1170	121	2	12	12	NUM
ejpam-1170	121	3	)	)	PUNCT
ejpam-1170	121	4	theorem	theorem	NOUN
ejpam-1170	121	5	1	1	NUM
ejpam-1170	121	6	.	.	PUNCT
ejpam-1170	122	1	the	the	DET
ejpam-1170	122	2	hazard	hazard	NOUN
ejpam-1170	122	3	rate	rate	NOUN
ejpam-1170	122	4	function	function	NOUN
ejpam-1170	122	5	of	of	ADP
ejpam-1170	122	6	a	a	DET
ejpam-1170	122	7	transmuted	transmuted	ADJ
ejpam-1170	122	8	weibull	weibull	NOUN
ejpam-1170	122	9	distribution	distribution	NOUN
ejpam-1170	122	10	has	have	VERB
ejpam-1170	122	11	the	the	DET
ejpam-1170	122	12	following	follow	VERB
ejpam-1170	122	13	properties	property	NOUN
ejpam-1170	122	14	:	:	PUNCT
ejpam-1170	122	15	(	(	PUNCT
ejpam-1170	122	16	i	i	NOUN
ejpam-1170	122	17	)	)	PUNCT
ejpam-1170	122	18	if	if	SCONJ
ejpam-1170	122	19	η	η	NOUN
ejpam-1170	122	20	=	=	NOUN
ejpam-1170	122	21	λ=	λ=	VERB
ejpam-1170	122	22	1	1	NUM
ejpam-1170	122	23	,	,	PUNCT
ejpam-1170	122	24	the	the	DET
ejpam-1170	122	25	failure	failure	NOUN
ejpam-1170	122	26	rate	rate	NOUN
ejpam-1170	122	27	is	be	AUX
ejpam-1170	122	28	constant	constant	ADJ
ejpam-1170	122	29	.	.	PUNCT
ejpam-1170	123	1	(	(	PUNCT
ejpam-1170	123	2	ii	ii	NOUN
ejpam-1170	123	3	)	)	PUNCT
ejpam-1170	123	4	if	if	SCONJ
ejpam-1170	123	5	λ=	λ=	NOUN
ejpam-1170	123	6	1	1	NUM
ejpam-1170	123	7	,	,	PUNCT
ejpam-1170	123	8	then	then	ADV
ejpam-1170	123	9	the	the	DET
ejpam-1170	123	10	failure	failure	NOUN
ejpam-1170	123	11	rate	rate	NOUN
ejpam-1170	123	12	is	be	AUX
ejpam-1170	123	13	increasing	increase	VERB
ejpam-1170	123	14	for	for	ADP
ejpam-1170	123	15	η	η	PROPN
ejpam-1170	123	16	>	>	X
ejpam-1170	123	17	1	1	NUM
ejpam-1170	123	18	and	and	CCONJ
ejpam-1170	123	19	decreasing	decrease	VERB
ejpam-1170	123	20	for	for	ADP
ejpam-1170	123	21	η	η	PROPN
ejpam-1170	123	22	<	<	X
ejpam-1170	123	23	1	1	NUM
ejpam-1170	123	24	(	(	PUNCT
ejpam-1170	123	25	iii	iii	NOUN
ejpam-1170	123	26	)	)	PUNCT
ejpam-1170	123	27	if	if	SCONJ
ejpam-1170	123	28	η	η	PROPN
ejpam-1170	123	29	=	=	PROPN
ejpam-1170	123	30	1	1	NUM
ejpam-1170	123	31	then	then	ADV
ejpam-1170	123	32	the	the	DET
ejpam-1170	123	33	failure	failure	NOUN
ejpam-1170	123	34	rate	rate	NOUN
ejpam-1170	123	35	is	be	AUX
ejpam-1170	123	36	increasing	increase	VERB
ejpam-1170	123	37	if	if	SCONJ
ejpam-1170	123	38	λ	λ	PROPN
ejpam-1170	123	39	<	<	X
ejpam-1170	123	40	0	0	PUNCT
ejpam-1170	123	41	and	and	CCONJ
ejpam-1170	123	42	is	be	AUX
ejpam-1170	123	43	decreasing	decrease	VERB
ejpam-1170	123	44	if	if	SCONJ
ejpam-1170	123	45	λ	λ	PROPN
ejpam-1170	123	46	>	>	X
ejpam-1170	123	47	0	0	NUM
ejpam-1170	123	48	.	.	PUNCT
ejpam-1170	124	1	(	(	PUNCT
ejpam-1170	124	2	iv	iv	X
ejpam-1170	124	3	)	)	PUNCT
ejpam-1170	124	4	if	if	SCONJ
ejpam-1170	124	5	λ=	λ=	VERB
ejpam-1170	124	6	0	0	NUM
ejpam-1170	124	7	and	and	CCONJ
ejpam-1170	124	8	η=	η=	ADJ
ejpam-1170	124	9	1	1	NUM
ejpam-1170	124	10	the	the	DET
ejpam-1170	124	11	the	the	DET
ejpam-1170	124	12	failure	failure	NOUN
ejpam-1170	124	13	rate	rate	NOUN
ejpam-1170	124	14	is	be	AUX
ejpam-1170	124	15	a	a	DET
ejpam-1170	124	16	constant	constant	ADJ
ejpam-1170	124	17	.	.	PUNCT
ejpam-1170	125	1	proof	proof	NOUN
ejpam-1170	125	2	.	.	PUNCT
ejpam-1170	126	1	(	(	PUNCT
ejpam-1170	126	2	i	i	NOUN
ejpam-1170	126	3	)	)	PUNCT
ejpam-1170	126	4	if	if	SCONJ
ejpam-1170	126	5	λ=	λ=	VERB
ejpam-1170	126	6	η	η	NOUN
ejpam-1170	126	7	=	=	SYM
ejpam-1170	126	8	1	1	NUM
ejpam-1170	126	9	then	then	ADV
ejpam-1170	126	10	h(t	h(t	NUM
ejpam-1170	126	11	)	)	PUNCT
ejpam-1170	126	12	=	=	SYM
ejpam-1170	126	13	2	2	NUM
ejpam-1170	126	14	σ	σ	NOUN
ejpam-1170	126	15	.	.	PUNCT
ejpam-1170	127	1	this	this	PRON
ejpam-1170	127	2	is	be	AUX
ejpam-1170	127	3	a	a	DET
ejpam-1170	127	4	constant	constant	ADJ
ejpam-1170	127	5	.	.	PUNCT
ejpam-1170	128	1	g.	g.	PROPN
ejpam-1170	128	2	aryal	aryal	PROPN
ejpam-1170	128	3	,	,	PUNCT
ejpam-1170	128	4	c.	c.	PROPN
ejpam-1170	128	5	tsokos	tsokos	PROPN
ejpam-1170	128	6	/	/	SYM
ejpam-1170	128	7	eur	eur	PROPN
ejpam-1170	128	8	.	.	PUNCT
ejpam-1170	129	1	j.	j.	PROPN
ejpam-1170	129	2	pure	pure	PROPN
ejpam-1170	129	3	appl	appl	PROPN
ejpam-1170	129	4	.	.	PROPN
ejpam-1170	129	5	math	math	PROPN
ejpam-1170	129	6	,	,	PUNCT
ejpam-1170	129	7	4	4	NUM
ejpam-1170	129	8	(	(	PUNCT
ejpam-1170	129	9	2011	2011	NUM
ejpam-1170	129	10	)	)	PUNCT
ejpam-1170	129	11	,	,	PUNCT
ejpam-1170	129	12	89	89	NUM
ejpam-1170	129	13	-	-	SYM
ejpam-1170	129	14	102	102	NUM
ejpam-1170	129	15	95	95	NUM
ejpam-1170	129	16	(	(	PUNCT
ejpam-1170	129	17	ii	ii	NOUN
ejpam-1170	129	18	)	)	PUNCT
ejpam-1170	129	19	if	if	SCONJ
ejpam-1170	129	20	λ=	λ=	NOUN
ejpam-1170	129	21	1	1	NUM
ejpam-1170	129	22	,	,	PUNCT
ejpam-1170	129	23	then	then	ADV
ejpam-1170	129	24	h(t	h(t	X
ejpam-1170	129	25	)	)	PUNCT
ejpam-1170	130	1	=	=	SYM
ejpam-1170	130	2	2η	2η	PROPN
ejpam-1170	130	3	σ	σ	PROPN
ejpam-1170	130	4	�	�	PROPN
ejpam-1170	130	5	t	t	PROPN
ejpam-1170	130	6	σ	σ	PROPN
ejpam-1170	130	7	�	�	PROPN
ejpam-1170	130	8	η−1	η−1	PROPN
ejpam-1170	130	9	.	.	PUNCT
ejpam-1170	131	1	which	which	PRON
ejpam-1170	131	2	is	be	AUX
ejpam-1170	131	3	increasing	increase	VERB
ejpam-1170	131	4	for	for	ADP
ejpam-1170	131	5	η	η	PROPN
ejpam-1170	131	6	>	>	X
ejpam-1170	131	7	1	1	NUM
ejpam-1170	131	8	and	and	CCONJ
ejpam-1170	131	9	is	be	AUX
ejpam-1170	131	10	decreasing	decrease	VERB
ejpam-1170	131	11	for	for	ADP
ejpam-1170	131	12	η	η	PROPN
ejpam-1170	131	13	<	<	X
ejpam-1170	131	14	1	1	NUM
ejpam-1170	131	15	.	.	PUNCT
ejpam-1170	132	1	note	note	VERB
ejpam-1170	132	2	that	that	SCONJ
ejpam-1170	132	3	for	for	ADP
ejpam-1170	132	4	η	η	PROPN
ejpam-1170	132	5	=	=	SYM
ejpam-1170	132	6	2	2	NUM
ejpam-1170	132	7	we	we	PRON
ejpam-1170	132	8	have	have	VERB
ejpam-1170	132	9	linear	linear	ADJ
ejpam-1170	132	10	hazard	hazard	NOUN
ejpam-1170	132	11	function	function	NOUN
ejpam-1170	132	12	as	as	ADP
ejpam-1170	132	13	in	in	ADP
ejpam-1170	132	14	the	the	DET
ejpam-1170	132	15	case	case	NOUN
ejpam-1170	132	16	of	of	ADP
ejpam-1170	132	17	rayleigh	rayleigh	ADJ
ejpam-1170	132	18	distribution	distribution	NOUN
ejpam-1170	132	19	.	.	PUNCT
ejpam-1170	133	1	(	(	PUNCT
ejpam-1170	133	2	iii	iii	X
ejpam-1170	133	3	)	)	PUNCT
ejpam-1170	133	4	if	if	SCONJ
ejpam-1170	133	5	η	η	PROPN
ejpam-1170	133	6	=	=	PROPN
ejpam-1170	133	7	1	1	NUM
ejpam-1170	133	8	then	then	ADV
ejpam-1170	133	9	we	we	PRON
ejpam-1170	133	10	have	have	VERB
ejpam-1170	133	11	h(t	h(t	NUM
ejpam-1170	133	12	)	)	PUNCT
ejpam-1170	133	13	=	=	SYM
ejpam-1170	133	14	1	1	NUM
ejpam-1170	133	15	σ	σ	NOUN
ejpam-1170	133	16	+	+	PROPN
ejpam-1170	133	17	λ	λ	PROPN
ejpam-1170	133	18	σ	σ	PROPN
ejpam-1170	133	19	exp(−t	exp(−t	PROPN
ejpam-1170	133	20	/	/	SYM
ejpam-1170	133	21	σ	σ	PROPN
ejpam-1170	133	22	)	)	PUNCT
ejpam-1170	134	1	[	[	X
ejpam-1170	134	2	1−λ+λexp(−t	1−λ+λexp(−t	NUM
ejpam-1170	134	3	/	/	SYM
ejpam-1170	134	4	σ	σ	PROPN
ejpam-1170	134	5	)	)	PUNCT
ejpam-1170	134	6	]	]	PUNCT
ejpam-1170	134	7	.	.	PUNCT
ejpam-1170	135	1	it	it	PRON
ejpam-1170	135	2	can	can	AUX
ejpam-1170	135	3	be	be	AUX
ejpam-1170	135	4	easily	easily	ADV
ejpam-1170	135	5	shown	show	VERB
ejpam-1170	135	6	that	that	SCONJ
ejpam-1170	135	7	h(t	h(t	PROPN
ejpam-1170	135	8	)	)	PUNCT
ejpam-1170	135	9	is	be	AUX
ejpam-1170	135	10	increasing	increase	VERB
ejpam-1170	135	11	for	for	ADP
ejpam-1170	135	12	λ	λ	PROPN
ejpam-1170	135	13	<	<	X
ejpam-1170	135	14	0	0	PUNCT
ejpam-1170	135	15	and	and	CCONJ
ejpam-1170	135	16	is	be	AUX
ejpam-1170	135	17	decreasing	decrease	VERB
ejpam-1170	135	18	for	for	ADP
ejpam-1170	135	19	λ	λ	PROPN
ejpam-1170	135	20	>	>	X
ejpam-1170	135	21	0	0	X
ejpam-1170	135	22	.	.	PUNCT
ejpam-1170	136	1	note	note	VERB
ejpam-1170	136	2	that	that	SCONJ
ejpam-1170	136	3	h(0	h(0	PROPN
ejpam-1170	136	4	)	)	PUNCT
ejpam-1170	136	5	=	=	SYM
ejpam-1170	137	1	1+λ	1+λ	NUM
ejpam-1170	137	2	σ	σ	NOUN
ejpam-1170	137	3	and	and	CCONJ
ejpam-1170	137	4	h(∞	h(∞	NOUN
ejpam-1170	137	5	)	)	PUNCT
ejpam-1170	137	6	=	=	SYM
ejpam-1170	137	7	1	1	NUM
ejpam-1170	137	8	σ	σ	NOUN
ejpam-1170	137	9	.	.	PUNCT
ejpam-1170	138	1	it	it	PRON
ejpam-1170	138	2	is	be	AUX
ejpam-1170	138	3	clear	clear	ADJ
ejpam-1170	138	4	that	that	SCONJ
ejpam-1170	138	5	that	that	SCONJ
ejpam-1170	138	6	the	the	DET
ejpam-1170	138	7	hazard	hazard	NOUN
ejpam-1170	138	8	rate	rate	NOUN
ejpam-1170	138	9	function	function	NOUN
ejpam-1170	138	10	increases	increase	VERB
ejpam-1170	138	11	from	from	ADP
ejpam-1170	138	12	0	0	NUM
ejpam-1170	138	13	to	to	ADP
ejpam-1170	138	14	1	1	NUM
ejpam-1170	138	15	σ	σ	NOUN
ejpam-1170	138	16	for	for	ADP
ejpam-1170	138	17	λ	λ	PROPN
ejpam-1170	138	18	<	<	X
ejpam-1170	138	19	0	0	PUNCT
ejpam-1170	139	1	and	and	CCONJ
ejpam-1170	139	2	it	it	PRON
ejpam-1170	139	3	decreases	decrease	VERB
ejpam-1170	139	4	from	from	ADP
ejpam-1170	139	5	2	2	NUM
ejpam-1170	139	6	σ	σ	NOUN
ejpam-1170	139	7	to	to	ADP
ejpam-1170	139	8	1	1	NUM
ejpam-1170	139	9	σ	σ	NOUN
ejpam-1170	139	10	for	for	ADP
ejpam-1170	139	11	λ	λ	PROPN
ejpam-1170	139	12	>	>	X
ejpam-1170	139	13	0	0	NUM
ejpam-1170	139	14	.	.	PUNCT
ejpam-1170	140	1	(	(	PUNCT
ejpam-1170	140	2	iv	iv	X
ejpam-1170	140	3	)	)	PUNCT
ejpam-1170	140	4	if	if	SCONJ
ejpam-1170	140	5	λ	λ	X
ejpam-1170	140	6	=	=	SYM
ejpam-1170	140	7	0	0	NUM
ejpam-1170	140	8	and	and	CCONJ
ejpam-1170	140	9	η	η	PROPN
ejpam-1170	140	10	=	=	PROPN
ejpam-1170	140	11	1	1	NUM
ejpam-1170	140	12	the	the	DET
ejpam-1170	140	13	the	the	DET
ejpam-1170	140	14	failure	failure	NOUN
ejpam-1170	140	15	rate	rate	NOUN
ejpam-1170	140	16	is	be	AUX
ejpam-1170	140	17	a	a	DET
ejpam-1170	140	18	constant	constant	ADJ
ejpam-1170	140	19	as	as	SCONJ
ejpam-1170	140	20	the	the	DET
ejpam-1170	140	21	resulting	result	VERB
ejpam-1170	140	22	distribution	distribution	NOUN
ejpam-1170	140	23	is	be	AUX
ejpam-1170	140	24	exponential	exponential	ADJ
ejpam-1170	140	25	distribution	distribution	NOUN
ejpam-1170	140	26	.	.	PUNCT
ejpam-1170	141	1	figure	figure	NOUN
ejpam-1170	141	2	2	2	NUM
ejpam-1170	141	3	illustrates	illustrate	VERB
ejpam-1170	141	4	the	the	DET
ejpam-1170	141	5	reliability	reliability	NOUN
ejpam-1170	141	6	behavior	behavior	NOUN
ejpam-1170	141	7	of	of	ADP
ejpam-1170	141	8	a	a	DET
ejpam-1170	141	9	transmuted	transmuted	ADJ
ejpam-1170	141	10	weibull	weibull	NOUN
ejpam-1170	141	11	distribution	distribution	NOUN
ejpam-1170	141	12	as	as	ADP
ejpam-1170	141	13	the	the	DET
ejpam-1170	141	14	value	value	NOUN
ejpam-1170	141	15	of	of	ADP
ejpam-1170	141	16	the	the	DET
ejpam-1170	141	17	parameter	parameter	NOUN
ejpam-1170	141	18	λ	λ	PROPN
ejpam-1170	141	19	varies	vary	VERB
ejpam-1170	141	20	from	from	ADP
ejpam-1170	141	21	−1	−1	NOUN
ejpam-1170	141	22	to	to	ADP
ejpam-1170	141	23	1	1	NUM
ejpam-1170	141	24	.	.	PUNCT
ejpam-1170	141	25	note	note	VERB
ejpam-1170	141	26	that	that	SCONJ
ejpam-1170	141	27	the	the	DET
ejpam-1170	141	28	figure	figure	NOUN
ejpam-1170	141	29	on	on	ADP
ejpam-1170	141	30	the	the	DET
ejpam-1170	141	31	left	left	NOUN
ejpam-1170	141	32	shows	show	VERB
ejpam-1170	141	33	how	how	SCONJ
ejpam-1170	141	34	0	0	NUM
ejpam-1170	141	35	1	1	NUM
ejpam-1170	141	36	2	2	NUM
ejpam-1170	141	37	3	3	NUM
ejpam-1170	141	38	4	4	NUM
ejpam-1170	141	39	5	5	NUM
ejpam-1170	141	40	0	0	NUM
ejpam-1170	141	41	.	.	NOUN
ejpam-1170	141	42	0	0	NUM
ejpam-1170	142	1	0	0	NUM
ejpam-1170	142	2	.	.	NOUN
ejpam-1170	143	1	2	2	NUM
ejpam-1170	143	2	0	0	NUM
ejpam-1170	143	3	.	.	NOUN
ejpam-1170	143	4	4	4	NUM
ejpam-1170	143	5	0	0	NUM
ejpam-1170	143	6	.	.	NOUN
ejpam-1170	144	1	6	6	NUM
ejpam-1170	144	2	0	0	NUM
ejpam-1170	144	3	.	.	NOUN
ejpam-1170	144	4	8	8	NUM
ejpam-1170	144	5	1	1	NUM
ejpam-1170	144	6	.	.	NUM
ejpam-1170	144	7	0	0	NUM
ejpam-1170	145	1	t	t	NOUN
ejpam-1170	145	2	r	r	NOUN
ejpam-1170	145	3	(	(	PUNCT
ejpam-1170	145	4	t	t	PROPN
ejpam-1170	145	5	)	)	PUNCT
ejpam-1170	145	6	0	0	NUM
ejpam-1170	145	7	1	1	NUM
ejpam-1170	145	8	2	2	NUM
ejpam-1170	145	9	3	3	NUM
ejpam-1170	145	10	4	4	NUM
ejpam-1170	145	11	5	5	NUM
ejpam-1170	145	12	0	0	NUM
ejpam-1170	145	13	.	.	NOUN
ejpam-1170	145	14	0	0	NUM
ejpam-1170	145	15	0	0	NUM
ejpam-1170	145	16	.	.	NOUN
ejpam-1170	145	17	2	2	NUM
ejpam-1170	145	18	0	0	NUM
ejpam-1170	145	19	.	.	NOUN
ejpam-1170	145	20	4	4	NUM
ejpam-1170	145	21	0	0	NUM
ejpam-1170	145	22	.	.	NOUN
ejpam-1170	145	23	6	6	NUM
ejpam-1170	145	24	0	0	NUM
ejpam-1170	145	25	.	.	NOUN
ejpam-1170	145	26	8	8	NUM
ejpam-1170	145	27	1	1	NUM
ejpam-1170	145	28	.	.	NOUN
ejpam-1170	145	29	0	0	NUM
ejpam-1170	145	30	0	0	NUM
ejpam-1170	145	31	1	1	NUM
ejpam-1170	145	32	2	2	NUM
ejpam-1170	145	33	3	3	NUM
ejpam-1170	145	34	4	4	NUM
ejpam-1170	145	35	5	5	NUM
ejpam-1170	145	36	0	0	NUM
ejpam-1170	145	37	.	.	NOUN
ejpam-1170	145	38	0	0	NUM
ejpam-1170	145	39	0	0	NUM
ejpam-1170	145	40	.	.	NOUN
ejpam-1170	145	41	2	2	NUM
ejpam-1170	145	42	0	0	NUM
ejpam-1170	145	43	.	.	NOUN
ejpam-1170	145	44	4	4	NUM
ejpam-1170	145	45	0	0	NUM
ejpam-1170	145	46	.	.	NOUN
ejpam-1170	145	47	6	6	NUM
ejpam-1170	145	48	0	0	NUM
ejpam-1170	145	49	.	.	NOUN
ejpam-1170	145	50	8	8	NUM
ejpam-1170	145	51	1	1	NUM
ejpam-1170	145	52	.	.	NOUN
ejpam-1170	145	53	0	0	NUM
ejpam-1170	145	54	0	0	NUM
ejpam-1170	145	55	1	1	NUM
ejpam-1170	145	56	2	2	NUM
ejpam-1170	145	57	3	3	NUM
ejpam-1170	145	58	4	4	NUM
ejpam-1170	145	59	5	5	NUM
ejpam-1170	145	60	0	0	NUM
ejpam-1170	145	61	.	.	NOUN
ejpam-1170	145	62	0	0	NUM
ejpam-1170	145	63	0	0	NUM
ejpam-1170	145	64	.	.	NOUN
ejpam-1170	145	65	2	2	NUM
ejpam-1170	145	66	0	0	NUM
ejpam-1170	145	67	.	.	NOUN
ejpam-1170	145	68	4	4	NUM
ejpam-1170	145	69	0	0	NUM
ejpam-1170	145	70	.	.	NOUN
ejpam-1170	145	71	6	6	NUM
ejpam-1170	145	72	0	0	NUM
ejpam-1170	145	73	.	.	NOUN
ejpam-1170	145	74	8	8	NUM
ejpam-1170	145	75	1	1	NUM
ejpam-1170	145	76	.	.	NOUN
ejpam-1170	145	77	0	0	NUM
ejpam-1170	145	78	0	0	NUM
ejpam-1170	145	79	1	1	NUM
ejpam-1170	145	80	2	2	NUM
ejpam-1170	145	81	3	3	NUM
ejpam-1170	145	82	4	4	NUM
ejpam-1170	145	83	5	5	NUM
ejpam-1170	145	84	0	0	NUM
ejpam-1170	145	85	.	.	NOUN
ejpam-1170	145	86	0	0	NUM
ejpam-1170	145	87	0	0	NUM
ejpam-1170	145	88	.	.	NOUN
ejpam-1170	145	89	2	2	NUM
ejpam-1170	145	90	0	0	NUM
ejpam-1170	145	91	.	.	NOUN
ejpam-1170	145	92	4	4	NUM
ejpam-1170	145	93	0	0	NUM
ejpam-1170	145	94	.	.	NOUN
ejpam-1170	145	95	6	6	NUM
ejpam-1170	145	96	0	0	NUM
ejpam-1170	145	97	.	.	NOUN
ejpam-1170	145	98	8	8	NUM
ejpam-1170	145	99	1	1	NUM
ejpam-1170	145	100	.	.	NOUN
ejpam-1170	145	101	0	0	NUM
ejpam-1170	145	102	0	0	NUM
ejpam-1170	145	103	1	1	NUM
ejpam-1170	145	104	2	2	NUM
ejpam-1170	145	105	3	3	NUM
ejpam-1170	145	106	4	4	NUM
ejpam-1170	145	107	5	5	NUM
ejpam-1170	145	108	0	0	NUM
ejpam-1170	145	109	.	.	NOUN
ejpam-1170	145	110	0	0	NUM
ejpam-1170	145	111	0	0	NUM
ejpam-1170	145	112	.	.	NOUN
ejpam-1170	145	113	2	2	NUM
ejpam-1170	145	114	0	0	NUM
ejpam-1170	145	115	.	.	NOUN
ejpam-1170	145	116	4	4	NUM
ejpam-1170	145	117	0	0	NUM
ejpam-1170	145	118	.	.	NOUN
ejpam-1170	145	119	6	6	NUM
ejpam-1170	145	120	0	0	NUM
ejpam-1170	145	121	.	.	NOUN
ejpam-1170	145	122	8	8	NUM
ejpam-1170	145	123	1	1	NUM
ejpam-1170	145	124	.	.	NOUN
ejpam-1170	145	125	0	0	NUM
ejpam-1170	145	126	0	0	NUM
ejpam-1170	145	127	1	1	NUM
ejpam-1170	145	128	2	2	NUM
ejpam-1170	145	129	3	3	NUM
ejpam-1170	145	130	4	4	NUM
ejpam-1170	145	131	5	5	NUM
ejpam-1170	145	132	0	0	NUM
ejpam-1170	145	133	.	.	NOUN
ejpam-1170	145	134	0	0	NUM
ejpam-1170	145	135	0	0	NUM
ejpam-1170	145	136	.	.	NOUN
ejpam-1170	145	137	2	2	NUM
ejpam-1170	145	138	0	0	NUM
ejpam-1170	145	139	.	.	NOUN
ejpam-1170	145	140	4	4	NUM
ejpam-1170	145	141	0	0	NUM
ejpam-1170	145	142	.	.	NOUN
ejpam-1170	145	143	6	6	NUM
ejpam-1170	145	144	0	0	NUM
ejpam-1170	145	145	.	.	NOUN
ejpam-1170	145	146	8	8	NUM
ejpam-1170	145	147	1	1	NUM
ejpam-1170	145	148	.	.	NOUN
ejpam-1170	145	149	0	0	NUM
ejpam-1170	146	1	λ	λ	NOUN
ejpam-1170	146	2	=	=	SYM
ejpam-1170	146	3	−	−	PROPN
ejpam-1170	146	4	1	1	NUM
ejpam-1170	146	5	λ	λ	NOUN
ejpam-1170	146	6	=	=	SYM
ejpam-1170	146	7	−	−	PROPN
ejpam-1170	146	8	0.8	0.8	NUM
ejpam-1170	146	9	λ	λ	NOUN
ejpam-1170	146	10	=	=	SYM
ejpam-1170	146	11	−	−	PROPN
ejpam-1170	146	12	0.5	0.5	NUM
ejpam-1170	146	13	λ	λ	NOUN
ejpam-1170	146	14	=	=	SYM
ejpam-1170	146	15	0	0	NUM
ejpam-1170	146	16	λ	λ	NOUN
ejpam-1170	146	17	=	=	SYM
ejpam-1170	146	18	0.5	0.5	NUM
ejpam-1170	146	19	λ	λ	NOUN
ejpam-1170	146	20	=	=	NOUN
ejpam-1170	146	21	0.8	0.8	NUM
ejpam-1170	146	22	λ	λ	NOUN
ejpam-1170	146	23	=	=	SYM
ejpam-1170	146	24	1	1	NUM
ejpam-1170	146	25	0	0	NUM
ejpam-1170	146	26	1	1	NUM
ejpam-1170	146	27	2	2	NUM
ejpam-1170	146	28	3	3	NUM
ejpam-1170	146	29	4	4	NUM
ejpam-1170	146	30	5	5	NUM
ejpam-1170	146	31	0	0	NUM
ejpam-1170	146	32	.	.	NOUN
ejpam-1170	146	33	0	0	NUM
ejpam-1170	146	34	0	0	NUM
ejpam-1170	146	35	.	.	NOUN
ejpam-1170	146	36	2	2	NUM
ejpam-1170	146	37	0	0	NUM
ejpam-1170	146	38	.	.	NOUN
ejpam-1170	146	39	4	4	NUM
ejpam-1170	146	40	0	0	NUM
ejpam-1170	146	41	.	.	NOUN
ejpam-1170	146	42	6	6	NUM
ejpam-1170	146	43	0	0	NUM
ejpam-1170	146	44	.	.	NOUN
ejpam-1170	146	45	8	8	NUM
ejpam-1170	146	46	1	1	NUM
ejpam-1170	146	47	.	.	NUM
ejpam-1170	146	48	0	0	NUM
ejpam-1170	147	1	t	t	NOUN
ejpam-1170	147	2	r	r	NOUN
ejpam-1170	147	3	(	(	PUNCT
ejpam-1170	147	4	t	t	PROPN
ejpam-1170	147	5	)	)	PUNCT
ejpam-1170	147	6	0	0	NUM
ejpam-1170	147	7	1	1	NUM
ejpam-1170	147	8	2	2	NUM
ejpam-1170	147	9	3	3	NUM
ejpam-1170	147	10	4	4	NUM
ejpam-1170	147	11	5	5	NUM
ejpam-1170	147	12	0	0	NUM
ejpam-1170	147	13	.	.	NOUN
ejpam-1170	147	14	0	0	NUM
ejpam-1170	147	15	0	0	NUM
ejpam-1170	147	16	.	.	NOUN
ejpam-1170	147	17	2	2	NUM
ejpam-1170	147	18	0	0	NUM
ejpam-1170	147	19	.	.	NOUN
ejpam-1170	147	20	4	4	NUM
ejpam-1170	147	21	0	0	NUM
ejpam-1170	147	22	.	.	NOUN
ejpam-1170	147	23	6	6	NUM
ejpam-1170	147	24	0	0	NUM
ejpam-1170	147	25	.	.	NOUN
ejpam-1170	147	26	8	8	NUM
ejpam-1170	147	27	1	1	NUM
ejpam-1170	147	28	.	.	NOUN
ejpam-1170	147	29	0	0	NUM
ejpam-1170	147	30	0	0	NUM
ejpam-1170	147	31	1	1	NUM
ejpam-1170	147	32	2	2	NUM
ejpam-1170	147	33	3	3	NUM
ejpam-1170	147	34	4	4	NUM
ejpam-1170	147	35	5	5	NUM
ejpam-1170	147	36	0	0	NUM
ejpam-1170	147	37	.	.	NOUN
ejpam-1170	147	38	0	0	NUM
ejpam-1170	147	39	0	0	NUM
ejpam-1170	147	40	.	.	NOUN
ejpam-1170	147	41	2	2	NUM
ejpam-1170	147	42	0	0	NUM
ejpam-1170	147	43	.	.	NOUN
ejpam-1170	147	44	4	4	NUM
ejpam-1170	147	45	0	0	NUM
ejpam-1170	147	46	.	.	NOUN
ejpam-1170	147	47	6	6	NUM
ejpam-1170	147	48	0	0	NUM
ejpam-1170	147	49	.	.	NOUN
ejpam-1170	147	50	8	8	NUM
ejpam-1170	147	51	1	1	NUM
ejpam-1170	147	52	.	.	NOUN
ejpam-1170	147	53	0	0	NUM
ejpam-1170	147	54	0	0	NUM
ejpam-1170	147	55	1	1	NUM
ejpam-1170	147	56	2	2	NUM
ejpam-1170	147	57	3	3	NUM
ejpam-1170	147	58	4	4	NUM
ejpam-1170	147	59	5	5	NUM
ejpam-1170	147	60	0	0	NUM
ejpam-1170	147	61	.	.	NOUN
ejpam-1170	147	62	0	0	NUM
ejpam-1170	147	63	0	0	NUM
ejpam-1170	147	64	.	.	NOUN
ejpam-1170	147	65	2	2	NUM
ejpam-1170	147	66	0	0	NUM
ejpam-1170	147	67	.	.	NOUN
ejpam-1170	147	68	4	4	NUM
ejpam-1170	147	69	0	0	NUM
ejpam-1170	147	70	.	.	NOUN
ejpam-1170	147	71	6	6	NUM
ejpam-1170	147	72	0	0	NUM
ejpam-1170	147	73	.	.	NOUN
ejpam-1170	147	74	8	8	NUM
ejpam-1170	147	75	1	1	NUM
ejpam-1170	147	76	.	.	NOUN
ejpam-1170	147	77	0	0	NUM
ejpam-1170	147	78	0	0	NUM
ejpam-1170	147	79	1	1	NUM
ejpam-1170	147	80	2	2	NUM
ejpam-1170	147	81	3	3	NUM
ejpam-1170	147	82	4	4	NUM
ejpam-1170	147	83	5	5	NUM
ejpam-1170	147	84	0	0	NUM
ejpam-1170	147	85	.	.	NOUN
ejpam-1170	147	86	0	0	NUM
ejpam-1170	147	87	0	0	NUM
ejpam-1170	147	88	.	.	NOUN
ejpam-1170	147	89	2	2	NUM
ejpam-1170	147	90	0	0	NUM
ejpam-1170	147	91	.	.	NOUN
ejpam-1170	147	92	4	4	NUM
ejpam-1170	147	93	0	0	NUM
ejpam-1170	147	94	.	.	NOUN
ejpam-1170	147	95	6	6	NUM
ejpam-1170	147	96	0	0	NUM
ejpam-1170	147	97	.	.	NOUN
ejpam-1170	147	98	8	8	NUM
ejpam-1170	147	99	1	1	NUM
ejpam-1170	147	100	.	.	NOUN
ejpam-1170	147	101	0	0	NUM
ejpam-1170	147	102	0	0	NUM
ejpam-1170	147	103	1	1	NUM
ejpam-1170	147	104	2	2	NUM
ejpam-1170	147	105	3	3	NUM
ejpam-1170	147	106	4	4	NUM
ejpam-1170	147	107	5	5	NUM
ejpam-1170	147	108	0	0	NUM
ejpam-1170	147	109	.	.	NOUN
ejpam-1170	147	110	0	0	NUM
ejpam-1170	147	111	0	0	NUM
ejpam-1170	147	112	.	.	NOUN
ejpam-1170	147	113	2	2	NUM
ejpam-1170	147	114	0	0	NUM
ejpam-1170	147	115	.	.	NOUN
ejpam-1170	147	116	4	4	NUM
ejpam-1170	147	117	0	0	NUM
ejpam-1170	147	118	.	.	NOUN
ejpam-1170	147	119	6	6	NUM
ejpam-1170	147	120	0	0	NUM
ejpam-1170	147	121	.	.	NOUN
ejpam-1170	147	122	8	8	NUM
ejpam-1170	147	123	1	1	NUM
ejpam-1170	147	124	.	.	NOUN
ejpam-1170	147	125	0	0	NUM
ejpam-1170	148	1	η	η	X
ejpam-1170	148	2	=	=	PROPN
ejpam-1170	148	3	0.2	0.2	NUM
ejpam-1170	148	4	η	η	NOUN
ejpam-1170	148	5	=	=	SYM
ejpam-1170	148	6	0.5	0.5	NUM
ejpam-1170	148	7	η	η	NOUN
ejpam-1170	148	8	=	=	SYM
ejpam-1170	148	9	1	1	NUM
ejpam-1170	148	10	η	η	NOUN
ejpam-1170	148	11	=	=	SYM
ejpam-1170	148	12	2	2	NUM
ejpam-1170	148	13	η	η	NOUN
ejpam-1170	148	14	=	=	SYM
ejpam-1170	148	15	5	5	NUM
ejpam-1170	148	16	η	η	NOUN
ejpam-1170	148	17	=	=	SYM
ejpam-1170	148	18	10	10	NUM
ejpam-1170	148	19	figure	figure	NOUN
ejpam-1170	148	20	2	2	NUM
ejpam-1170	148	21	:	:	PUNCT
ejpam-1170	148	22	reliability	reliability	NOUN
ejpam-1170	148	23	fun	fun	NOUN
ejpam-1170	148	24	tion	tion	NOUN
ejpam-1170	148	25	of	of	ADP
ejpam-1170	148	26	transmuted	transmuted	ADJ
ejpam-1170	148	27	weibull	weibull	NOUN
ejpam-1170	148	28	distribution	distribution	NOUN
ejpam-1170	148	29	the	the	DET
ejpam-1170	148	30	reliability	reliability	NOUN
ejpam-1170	148	31	function	function	NOUN
ejpam-1170	148	32	changes	change	VERB
ejpam-1170	148	33	its	its	PRON
ejpam-1170	148	34	shape	shape	NOUN
ejpam-1170	148	35	when	when	SCONJ
ejpam-1170	148	36	we	we	PRON
ejpam-1170	148	37	vary	vary	VERB
ejpam-1170	148	38	the	the	DET
ejpam-1170	148	39	parameter	parameter	NOUN
ejpam-1170	148	40	λ	λ	PROPN
ejpam-1170	148	41	keeping	keep	VERB
ejpam-1170	148	42	η	η	PROPN
ejpam-1170	148	43	=	=	SYM
ejpam-1170	148	44	1	1	NUM
ejpam-1170	148	45	and	and	CCONJ
ejpam-1170	148	46	σ	σ	NUM
ejpam-1170	148	47	=	=	NOUN
ejpam-1170	148	48	1	1	NUM
ejpam-1170	148	49	whereas	whereas	SCONJ
ejpam-1170	148	50	the	the	DET
ejpam-1170	148	51	figure	figure	NOUN
ejpam-1170	148	52	on	on	ADP
ejpam-1170	148	53	the	the	DET
ejpam-1170	148	54	right	right	ADJ
ejpam-1170	148	55	exhibits	exhibit	VERB
ejpam-1170	148	56	the	the	DET
ejpam-1170	148	57	behavior	behavior	NOUN
ejpam-1170	148	58	as	as	ADP
ejpam-1170	148	59	the	the	DET
ejpam-1170	148	60	value	value	NOUN
ejpam-1170	148	61	of	of	ADP
ejpam-1170	148	62	η	η	PROPN
ejpam-1170	148	63	changes	change	NOUN
ejpam-1170	148	64	keeping	keep	VERB
ejpam-1170	148	65	λ	λ	PROPN
ejpam-1170	148	66	=	=	SYM
ejpam-1170	148	67	1	1	NUM
ejpam-1170	148	68	and	and	CCONJ
ejpam-1170	148	69	σ	σ	NUM
ejpam-1170	148	70	=	=	SYM
ejpam-1170	148	71	2	2	X
ejpam-1170	148	72	.	.	PUNCT
ejpam-1170	148	73	also	also	ADV
ejpam-1170	148	74	notice	notice	VERB
ejpam-1170	148	75	that	that	SCONJ
ejpam-1170	148	76	for	for	ADP
ejpam-1170	148	77	λ	λ	PROPN
ejpam-1170	148	78	=	=	SYM
ejpam-1170	148	79	1	1	NUM
ejpam-1170	148	80	and	and	CCONJ
ejpam-1170	148	81	t	t	NOUN
ejpam-1170	148	82	=	=	SYM
ejpam-1170	148	83	σ	σ	NOUN
ejpam-1170	148	84	the	the	DET
ejpam-1170	148	85	reliability	reliability	NOUN
ejpam-1170	148	86	function	function	NOUN
ejpam-1170	148	87	takes	take	VERB
ejpam-1170	148	88	the	the	DET
ejpam-1170	148	89	value	value	NOUN
ejpam-1170	148	90	g.	g.	PROPN
ejpam-1170	148	91	aryal	aryal	PROPN
ejpam-1170	148	92	,	,	PUNCT
ejpam-1170	148	93	c.	c.	PROPN
ejpam-1170	148	94	tsokos	tsokos	PROPN
ejpam-1170	148	95	/	/	SYM
ejpam-1170	148	96	eur	eur	PROPN
ejpam-1170	148	97	.	.	PUNCT
ejpam-1170	149	1	j.	j.	PROPN
ejpam-1170	149	2	pure	pure	PROPN
ejpam-1170	149	3	appl	appl	PROPN
ejpam-1170	149	4	.	.	PROPN
ejpam-1170	149	5	math	math	PROPN
ejpam-1170	149	6	,	,	PUNCT
ejpam-1170	149	7	4	4	NUM
ejpam-1170	149	8	(	(	PUNCT
ejpam-1170	149	9	2011	2011	NUM
ejpam-1170	149	10	)	)	PUNCT
ejpam-1170	149	11	,	,	PUNCT
ejpam-1170	149	12	89	89	NUM
ejpam-1170	149	13	-	-	SYM
ejpam-1170	149	14	102	102	NUM
ejpam-1170	149	15	96	96	NUM
ejpam-1170	149	16	exp(−2	exp(−2	NUM
ejpam-1170	149	17	)	)	PUNCT
ejpam-1170	149	18	which	which	PRON
ejpam-1170	149	19	is	be	AUX
ejpam-1170	149	20	independent	independent	ADJ
ejpam-1170	149	21	of	of	ADP
ejpam-1170	149	22	η	η	PROPN
ejpam-1170	149	23	.	.	PROPN
ejpam-1170	149	24	figure	figure	NOUN
ejpam-1170	149	25	3	3	NUM
ejpam-1170	149	26	illustrates	illustrate	VERB
ejpam-1170	149	27	the	the	DET
ejpam-1170	149	28	behavior	behavior	NOUN
ejpam-1170	149	29	of	of	ADP
ejpam-1170	149	30	the	the	DET
ejpam-1170	149	31	hazard	hazard	NOUN
ejpam-1170	149	32	rate	rate	NOUN
ejpam-1170	149	33	function	function	NOUN
ejpam-1170	149	34	of	of	ADP
ejpam-1170	149	35	a	a	DET
ejpam-1170	149	36	transmuted	transmuted	ADJ
ejpam-1170	149	37	weibull	weibull	NOUN
ejpam-1170	149	38	distribution	distribution	NOUN
ejpam-1170	149	39	.	.	PUNCT
ejpam-1170	150	1	note	note	VERB
ejpam-1170	150	2	that	that	SCONJ
ejpam-1170	150	3	the	the	DET
ejpam-1170	150	4	figure	figure	NOUN
ejpam-1170	150	5	on	on	ADP
ejpam-1170	150	6	the	the	DET
ejpam-1170	150	7	left	left	NOUN
ejpam-1170	150	8	shows	show	VERB
ejpam-1170	150	9	how	how	SCONJ
ejpam-1170	150	10	the	the	DET
ejpam-1170	150	11	hazard	hazard	NOUN
ejpam-1170	150	12	rate	rate	NOUN
ejpam-1170	150	13	function	function	NOUN
ejpam-1170	150	14	changes	change	VERB
ejpam-1170	150	15	its	its	PRON
ejpam-1170	150	16	shape	shape	NOUN
ejpam-1170	150	17	when	when	SCONJ
ejpam-1170	150	18	we	we	PRON
ejpam-1170	150	19	vary	vary	VERB
ejpam-1170	150	20	the	the	DET
ejpam-1170	150	21	parameter	parameter	NOUN
ejpam-1170	150	22	λ	λ	PROPN
ejpam-1170	150	23	keeping	keep	VERB
ejpam-1170	150	24	η	η	PROPN
ejpam-1170	150	25	=	=	SYM
ejpam-1170	150	26	1	1	NUM
ejpam-1170	150	27	and	and	CCONJ
ejpam-1170	150	28	σ	σ	NUM
ejpam-1170	150	29	=	=	NOUN
ejpam-1170	150	30	1	1	NUM
ejpam-1170	150	31	whereas	whereas	SCONJ
ejpam-1170	150	32	the	the	DET
ejpam-1170	150	33	figure	figure	NOUN
ejpam-1170	150	34	on	on	ADP
ejpam-1170	150	35	the	the	DET
ejpam-1170	150	36	right	right	ADJ
ejpam-1170	150	37	exhibits	exhibit	VERB
ejpam-1170	150	38	the	the	DET
ejpam-1170	150	39	behavior	behavior	NOUN
ejpam-1170	150	40	as	as	ADP
ejpam-1170	150	41	the	the	DET
ejpam-1170	150	42	value	value	NOUN
ejpam-1170	150	43	of	of	ADP
ejpam-1170	150	44	η	η	PROPN
ejpam-1170	150	45	changes	change	NOUN
ejpam-1170	150	46	keeping	keep	VERB
ejpam-1170	150	47	λ	λ	PROPN
ejpam-1170	150	48	=	=	SYM
ejpam-1170	150	49	1	1	NUM
ejpam-1170	150	50	and	and	CCONJ
ejpam-1170	150	51	σ	σ	NUM
ejpam-1170	150	52	=	=	SYM
ejpam-1170	150	53	1	1	X
ejpam-1170	150	54	.	.	X
ejpam-1170	150	55	observing	observe	VERB
ejpam-1170	150	56	the	the	DET
ejpam-1170	150	57	be0	be0	NOUN
ejpam-1170	150	58	1	1	NUM
ejpam-1170	150	59	2	2	NUM
ejpam-1170	150	60	3	3	NUM
ejpam-1170	150	61	4	4	NUM
ejpam-1170	150	62	5	5	NUM
ejpam-1170	150	63	6	6	NUM
ejpam-1170	150	64	0	0	NUM
ejpam-1170	150	65	.	.	NOUN
ejpam-1170	150	66	0	0	NUM
ejpam-1170	151	1	0	0	NUM
ejpam-1170	151	2	.	.	NOUN
ejpam-1170	151	3	5	5	NUM
ejpam-1170	151	4	1	1	NUM
ejpam-1170	151	5	.	.	NOUN
ejpam-1170	151	6	0	0	NUM
ejpam-1170	152	1	1	1	NUM
ejpam-1170	152	2	.	.	SYM
ejpam-1170	152	3	5	5	NUM
ejpam-1170	152	4	2	2	NUM
ejpam-1170	152	5	.	.	NOUN
ejpam-1170	152	6	0	0	NUM
ejpam-1170	153	1	t	t	PROPN
ejpam-1170	153	2	h	h	PROPN
ejpam-1170	153	3	(	(	PUNCT
ejpam-1170	153	4	t	t	PROPN
ejpam-1170	153	5	)	)	PUNCT
ejpam-1170	153	6	0	0	NUM
ejpam-1170	153	7	1	1	NUM
ejpam-1170	153	8	2	2	NUM
ejpam-1170	153	9	3	3	NUM
ejpam-1170	153	10	4	4	NUM
ejpam-1170	153	11	5	5	NUM
ejpam-1170	153	12	6	6	NUM
ejpam-1170	153	13	0	0	NUM
ejpam-1170	153	14	.	.	NOUN
ejpam-1170	153	15	0	0	NUM
ejpam-1170	153	16	0	0	NUM
ejpam-1170	153	17	.	.	NOUN
ejpam-1170	153	18	5	5	NUM
ejpam-1170	153	19	1	1	NUM
ejpam-1170	153	20	.	.	NOUN
ejpam-1170	153	21	0	0	NUM
ejpam-1170	154	1	1	1	NUM
ejpam-1170	154	2	.	.	SYM
ejpam-1170	154	3	5	5	NUM
ejpam-1170	154	4	2	2	NUM
ejpam-1170	154	5	.	.	NOUN
ejpam-1170	154	6	0	0	NUM
ejpam-1170	154	7	0	0	NUM
ejpam-1170	155	1	1	1	NUM
ejpam-1170	155	2	2	2	NUM
ejpam-1170	155	3	3	3	NUM
ejpam-1170	155	4	4	4	NUM
ejpam-1170	155	5	5	5	NUM
ejpam-1170	155	6	6	6	NUM
ejpam-1170	155	7	0	0	NUM
ejpam-1170	155	8	.	.	NOUN
ejpam-1170	155	9	0	0	NUM
ejpam-1170	156	1	0	0	NUM
ejpam-1170	156	2	.	.	NOUN
ejpam-1170	156	3	5	5	NUM
ejpam-1170	156	4	1	1	NUM
ejpam-1170	156	5	.	.	NOUN
ejpam-1170	156	6	0	0	NUM
ejpam-1170	157	1	1	1	NUM
ejpam-1170	157	2	.	.	SYM
ejpam-1170	157	3	5	5	NUM
ejpam-1170	157	4	2	2	NUM
ejpam-1170	157	5	.	.	NOUN
ejpam-1170	157	6	0	0	NUM
ejpam-1170	157	7	0	0	NUM
ejpam-1170	158	1	1	1	NUM
ejpam-1170	158	2	2	2	NUM
ejpam-1170	158	3	3	3	NUM
ejpam-1170	158	4	4	4	NUM
ejpam-1170	158	5	5	5	NUM
ejpam-1170	158	6	6	6	NUM
ejpam-1170	158	7	0	0	NUM
ejpam-1170	158	8	.	.	NOUN
ejpam-1170	158	9	0	0	NUM
ejpam-1170	159	1	0	0	NUM
ejpam-1170	159	2	.	.	NOUN
ejpam-1170	159	3	5	5	NUM
ejpam-1170	159	4	1	1	NUM
ejpam-1170	159	5	.	.	NOUN
ejpam-1170	159	6	0	0	NUM
ejpam-1170	160	1	1	1	NUM
ejpam-1170	160	2	.	.	SYM
ejpam-1170	160	3	5	5	NUM
ejpam-1170	160	4	2	2	NUM
ejpam-1170	160	5	.	.	NOUN
ejpam-1170	160	6	0	0	NUM
ejpam-1170	160	7	0	0	NUM
ejpam-1170	161	1	1	1	NUM
ejpam-1170	161	2	2	2	NUM
ejpam-1170	161	3	3	3	NUM
ejpam-1170	161	4	4	4	NUM
ejpam-1170	161	5	5	5	NUM
ejpam-1170	161	6	6	6	NUM
ejpam-1170	161	7	0	0	NUM
ejpam-1170	161	8	.	.	NOUN
ejpam-1170	161	9	0	0	NUM
ejpam-1170	162	1	0	0	NUM
ejpam-1170	162	2	.	.	NOUN
ejpam-1170	162	3	5	5	NUM
ejpam-1170	162	4	1	1	NUM
ejpam-1170	162	5	.	.	NOUN
ejpam-1170	162	6	0	0	NUM
ejpam-1170	163	1	1	1	NUM
ejpam-1170	163	2	.	.	SYM
ejpam-1170	163	3	5	5	NUM
ejpam-1170	163	4	2	2	NUM
ejpam-1170	163	5	.	.	NOUN
ejpam-1170	163	6	0	0	NUM
ejpam-1170	163	7	0	0	NUM
ejpam-1170	164	1	1	1	NUM
ejpam-1170	164	2	2	2	NUM
ejpam-1170	164	3	3	3	NUM
ejpam-1170	164	4	4	4	NUM
ejpam-1170	164	5	5	5	NUM
ejpam-1170	164	6	6	6	NUM
ejpam-1170	164	7	0	0	NUM
ejpam-1170	164	8	.	.	NOUN
ejpam-1170	164	9	0	0	NUM
ejpam-1170	165	1	0	0	NUM
ejpam-1170	165	2	.	.	NOUN
ejpam-1170	165	3	5	5	NUM
ejpam-1170	165	4	1	1	NUM
ejpam-1170	165	5	.	.	NOUN
ejpam-1170	165	6	0	0	NUM
ejpam-1170	166	1	1	1	NUM
ejpam-1170	166	2	.	.	SYM
ejpam-1170	166	3	5	5	NUM
ejpam-1170	166	4	2	2	NUM
ejpam-1170	166	5	.	.	NOUN
ejpam-1170	166	6	0	0	NUM
ejpam-1170	166	7	0	0	NUM
ejpam-1170	167	1	1	1	NUM
ejpam-1170	167	2	2	2	NUM
ejpam-1170	167	3	3	3	NUM
ejpam-1170	167	4	4	4	NUM
ejpam-1170	167	5	5	5	NUM
ejpam-1170	167	6	6	6	NUM
ejpam-1170	167	7	0	0	NUM
ejpam-1170	167	8	.	.	NOUN
ejpam-1170	167	9	0	0	NUM
ejpam-1170	168	1	0	0	NUM
ejpam-1170	168	2	.	.	NOUN
ejpam-1170	168	3	5	5	NUM
ejpam-1170	168	4	1	1	NUM
ejpam-1170	168	5	.	.	NOUN
ejpam-1170	168	6	0	0	NUM
ejpam-1170	169	1	1	1	NUM
ejpam-1170	169	2	.	.	SYM
ejpam-1170	169	3	5	5	NUM
ejpam-1170	169	4	2	2	NUM
ejpam-1170	169	5	.	.	NOUN
ejpam-1170	169	6	0	0	NUM
ejpam-1170	170	1	λ	λ	NOUN
ejpam-1170	170	2	=	=	SYM
ejpam-1170	170	3	−	−	PROPN
ejpam-1170	170	4	1	1	NUM
ejpam-1170	170	5	λ	λ	NOUN
ejpam-1170	170	6	=	=	SYM
ejpam-1170	170	7	−	−	PROPN
ejpam-1170	170	8	0.8	0.8	NUM
ejpam-1170	170	9	λ	λ	NOUN
ejpam-1170	170	10	=	=	SYM
ejpam-1170	170	11	−	−	PROPN
ejpam-1170	170	12	0.5	0.5	NUM
ejpam-1170	170	13	λ	λ	NOUN
ejpam-1170	170	14	=	=	SYM
ejpam-1170	170	15	0	0	NUM
ejpam-1170	170	16	λ	λ	NOUN
ejpam-1170	170	17	=	=	SYM
ejpam-1170	170	18	0.5	0.5	NUM
ejpam-1170	170	19	λ	λ	NOUN
ejpam-1170	170	20	=	=	NOUN
ejpam-1170	170	21	0.8	0.8	NUM
ejpam-1170	170	22	λ	λ	NOUN
ejpam-1170	170	23	=	=	NOUN
ejpam-1170	170	24	1	1	NUM
ejpam-1170	170	25	0.0	0.0	NUM
ejpam-1170	170	26	0.5	0.5	NUM
ejpam-1170	170	27	1.0	1.0	NUM
ejpam-1170	170	28	1.5	1.5	NUM
ejpam-1170	170	29	2.0	2.0	NUM
ejpam-1170	170	30	2.5	2.5	NUM
ejpam-1170	170	31	3.0	3.0	NUM
ejpam-1170	170	32	0	0	NUM
ejpam-1170	170	33	1	1	NUM
ejpam-1170	170	34	2	2	NUM
ejpam-1170	170	35	3	3	NUM
ejpam-1170	170	36	4	4	NUM
ejpam-1170	170	37	5	5	NUM
ejpam-1170	170	38	t	t	NOUN
ejpam-1170	170	39	h	h	PROPN
ejpam-1170	170	40	(	(	PUNCT
ejpam-1170	170	41	t	t	PROPN
ejpam-1170	170	42	)	)	PUNCT
ejpam-1170	170	43	0.0	0.0	NUM
ejpam-1170	170	44	0.5	0.5	NUM
ejpam-1170	170	45	1.0	1.0	NUM
ejpam-1170	170	46	1.5	1.5	NUM
ejpam-1170	170	47	2.0	2.0	NUM
ejpam-1170	170	48	2.5	2.5	NUM
ejpam-1170	170	49	3.0	3.0	NUM
ejpam-1170	170	50	0	0	NUM
ejpam-1170	170	51	1	1	NUM
ejpam-1170	170	52	2	2	NUM
ejpam-1170	170	53	3	3	NUM
ejpam-1170	170	54	4	4	NUM
ejpam-1170	170	55	5	5	NUM
ejpam-1170	170	56	t	t	NOUN
ejpam-1170	170	57	h	h	PROPN
ejpam-1170	170	58	(	(	PUNCT
ejpam-1170	170	59	t	t	PROPN
ejpam-1170	170	60	)	)	PUNCT
ejpam-1170	170	61	0.0	0.0	NUM
ejpam-1170	170	62	0.5	0.5	NUM
ejpam-1170	170	63	1.0	1.0	NUM
ejpam-1170	170	64	1.5	1.5	NUM
ejpam-1170	170	65	2.0	2.0	NUM
ejpam-1170	170	66	2.5	2.5	NUM
ejpam-1170	170	67	3.0	3.0	NUM
ejpam-1170	170	68	0	0	NUM
ejpam-1170	170	69	1	1	NUM
ejpam-1170	170	70	2	2	NUM
ejpam-1170	170	71	3	3	NUM
ejpam-1170	170	72	4	4	NUM
ejpam-1170	170	73	5	5	NUM
ejpam-1170	170	74	0.0	0.0	NUM
ejpam-1170	170	75	0.5	0.5	NUM
ejpam-1170	170	76	1.0	1.0	NUM
ejpam-1170	170	77	1.5	1.5	NUM
ejpam-1170	170	78	2.0	2.0	NUM
ejpam-1170	170	79	2.5	2.5	NUM
ejpam-1170	170	80	3.0	3.0	NUM
ejpam-1170	170	81	0	0	NUM
ejpam-1170	170	82	1	1	NUM
ejpam-1170	170	83	2	2	NUM
ejpam-1170	170	84	3	3	NUM
ejpam-1170	170	85	4	4	NUM
ejpam-1170	170	86	5	5	NUM
ejpam-1170	170	87	0.0	0.0	NUM
ejpam-1170	170	88	0.5	0.5	NUM
ejpam-1170	170	89	1.0	1.0	NUM
ejpam-1170	170	90	1.5	1.5	NUM
ejpam-1170	170	91	2.0	2.0	NUM
ejpam-1170	170	92	2.5	2.5	NUM
ejpam-1170	170	93	3.0	3.0	NUM
ejpam-1170	170	94	0	0	NUM
ejpam-1170	170	95	1	1	NUM
ejpam-1170	170	96	2	2	NUM
ejpam-1170	170	97	3	3	NUM
ejpam-1170	170	98	4	4	NUM
ejpam-1170	170	99	5	5	NUM
ejpam-1170	170	100	0.0	0.0	NUM
ejpam-1170	170	101	0.5	0.5	NUM
ejpam-1170	170	102	1.0	1.0	NUM
ejpam-1170	170	103	1.5	1.5	NUM
ejpam-1170	170	104	2.0	2.0	NUM
ejpam-1170	170	105	2.5	2.5	NUM
ejpam-1170	170	106	3.0	3.0	NUM
ejpam-1170	170	107	0	0	NUM
ejpam-1170	170	108	1	1	NUM
ejpam-1170	170	109	2	2	NUM
ejpam-1170	170	110	3	3	NUM
ejpam-1170	170	111	4	4	NUM
ejpam-1170	170	112	5	5	NUM
ejpam-1170	170	113	η	η	NOUN
ejpam-1170	170	114	=	=	PROPN
ejpam-1170	170	115	0.2	0.2	NUM
ejpam-1170	170	116	η	η	NOUN
ejpam-1170	170	117	=	=	SYM
ejpam-1170	170	118	0.5	0.5	NUM
ejpam-1170	170	119	η	η	NOUN
ejpam-1170	170	120	=	=	SYM
ejpam-1170	170	121	1	1	NUM
ejpam-1170	170	122	η	η	NOUN
ejpam-1170	170	123	=	=	PROPN
ejpam-1170	170	124	1.5	1.5	NUM
ejpam-1170	170	125	η	η	NOUN
ejpam-1170	170	126	=	=	SYM
ejpam-1170	170	127	2	2	NUM
ejpam-1170	170	128	η	η	NOUN
ejpam-1170	170	129	=	=	SYM
ejpam-1170	170	130	10	10	NUM
ejpam-1170	170	131	figure	figure	NOUN
ejpam-1170	170	132	3	3	NUM
ejpam-1170	170	133	:	:	PUNCT
ejpam-1170	170	134	reliability	reliability	NOUN
ejpam-1170	170	135	fun	fun	NOUN
ejpam-1170	170	136	tion	tion	NOUN
ejpam-1170	170	137	of	of	ADP
ejpam-1170	170	138	transmuted	transmuted	ADJ
ejpam-1170	170	139	weibull	weibull	NOUN
ejpam-1170	170	140	distribution	distribution	NOUN
ejpam-1170	170	141	havior	havior	ADJ
ejpam-1170	170	142	of	of	ADP
ejpam-1170	170	143	the	the	DET
ejpam-1170	170	144	hazard	hazard	NOUN
ejpam-1170	170	145	rate	rate	NOUN
ejpam-1170	170	146	function	function	NOUN
ejpam-1170	170	147	it	it	PRON
ejpam-1170	170	148	is	be	AUX
ejpam-1170	170	149	worth	worth	ADJ
ejpam-1170	170	150	noting	note	VERB
ejpam-1170	170	151	that	that	SCONJ
ejpam-1170	170	152	the	the	DET
ejpam-1170	170	153	transmuted	transmuted	ADJ
ejpam-1170	170	154	weibull	weibull	NOUN
ejpam-1170	170	155	distribution	distribution	NOUN
ejpam-1170	170	156	probably	probably	ADV
ejpam-1170	170	157	will	will	AUX
ejpam-1170	170	158	have	have	VERB
ejpam-1170	170	159	more	more	ADJ
ejpam-1170	170	160	applicability	applicability	NOUN
ejpam-1170	170	161	than	than	ADP
ejpam-1170	170	162	other	other	ADJ
ejpam-1170	170	163	generalization	generalization	NOUN
ejpam-1170	170	164	of	of	ADP
ejpam-1170	170	165	the	the	DET
ejpam-1170	170	166	weibull	weibull	PROPN
ejpam-1170	170	167	distribution	distribution	NOUN
ejpam-1170	170	168	.	.	PUNCT
ejpam-1170	171	1	many	many	ADJ
ejpam-1170	171	2	generalized	generalized	ADJ
ejpam-1170	171	3	weibull	weibull	NOUN
ejpam-1170	171	4	models	model	NOUN
ejpam-1170	171	5	have	have	AUX
ejpam-1170	171	6	been	be	AUX
ejpam-1170	171	7	proposed	propose	VERB
ejpam-1170	171	8	in	in	ADP
ejpam-1170	171	9	reliability	reliability	NOUN
ejpam-1170	171	10	literature	literature	NOUN
ejpam-1170	171	11	through	through	ADP
ejpam-1170	171	12	the	the	DET
ejpam-1170	171	13	fundamental	fundamental	ADJ
ejpam-1170	171	14	relationship	relationship	NOUN
ejpam-1170	171	15	between	between	ADP
ejpam-1170	171	16	the	the	DET
ejpam-1170	171	17	reliability	reliability	NOUN
ejpam-1170	171	18	function	function	NOUN
ejpam-1170	171	19	r(t	r(t	NOUN
ejpam-1170	171	20	)	)	PUNCT
ejpam-1170	171	21	and	and	CCONJ
ejpam-1170	171	22	its	its	PRON
ejpam-1170	171	23	cumulative	cumulative	ADJ
ejpam-1170	171	24	hazard	hazard	NOUN
ejpam-1170	171	25	rate	rate	NOUN
ejpam-1170	171	26	function	function	NOUN
ejpam-1170	171	27	h(t	h(t	PROPN
ejpam-1170	171	28	)	)	PUNCT
ejpam-1170	171	29	given	give	VERB
ejpam-1170	171	30	by	by	ADP
ejpam-1170	171	31	h(t	h(t	PROPN
ejpam-1170	171	32	)	)	PUNCT
ejpam-1170	171	33	=	=	SYM
ejpam-1170	171	34	−	−	PROPN
ejpam-1170	171	35	lnr(t	lnr(t	PROPN
ejpam-1170	171	36	)	)	PUNCT
ejpam-1170	171	37	.	.	PUNCT
ejpam-1170	172	1	the	the	DET
ejpam-1170	172	2	cumulative	cumulative	ADJ
ejpam-1170	172	3	hazard	hazard	NOUN
ejpam-1170	172	4	rate	rate	NOUN
ejpam-1170	172	5	function	function	NOUN
ejpam-1170	172	6	of	of	ADP
ejpam-1170	172	7	a	a	DET
ejpam-1170	172	8	transmuted	transmuted	ADJ
ejpam-1170	172	9	weibull	weibull	NOUN
ejpam-1170	172	10	random	random	ADJ
ejpam-1170	172	11	variable	variable	NOUN
ejpam-1170	172	12	is	be	AUX
ejpam-1170	172	13	given	give	VERB
ejpam-1170	172	14	by	by	ADP
ejpam-1170	172	15	h(t	h(t	PROPN
ejpam-1170	172	16	)	)	PUNCT
ejpam-1170	173	1	=	=	SYM
ejpam-1170	174	1	∫	∫	PROPN
ejpam-1170	174	2	t	t	NOUN
ejpam-1170	174	3	0	0	NUM
ejpam-1170	175	1	h(x)d	h(x)d	X
ejpam-1170	175	2	x	x	SYM
ejpam-1170	175	3	=	=	SYM
ejpam-1170	175	4	�	�	PROPN
ejpam-1170	175	5	t	t	PROPN
ejpam-1170	175	6	σ	σ	PROPN
ejpam-1170	175	7	�	�	PROPN
ejpam-1170	175	8	η	η	PROPN
ejpam-1170	175	9	−	−	PROPN
ejpam-1170	175	10	ln	ln	PROPN
ejpam-1170	175	11	�	�	PROPN
ejpam-1170	175	12	1−λ+λexp	1−λ+λexp	NUM
ejpam-1170	175	13	�	�	PROPN
ejpam-1170	175	14	−	−	PROPN
ejpam-1170	175	15	�	�	PROPN
ejpam-1170	175	16	t	t	PROPN
ejpam-1170	175	17	σ	σ	PROPN
ejpam-1170	175	18	�	�	PROPN
ejpam-1170	175	19	η	η	PROPN
ejpam-1170	175	20	�	�	PROPN
ejpam-1170	175	21	�	�	PROPN
ejpam-1170	175	22	.	.	PUNCT
ejpam-1170	176	1	observe	observe	VERB
ejpam-1170	176	2	that	that	SCONJ
ejpam-1170	176	3	:	:	PUNCT
ejpam-1170	176	4	(	(	PUNCT
ejpam-1170	176	5	i	i	NOUN
ejpam-1170	176	6	)	)	PUNCT
ejpam-1170	176	7	h(t	h(t	PROPN
ejpam-1170	176	8	)	)	PUNCT
ejpam-1170	176	9	is	be	AUX
ejpam-1170	176	10	nondecreasing	nondecrease	VERB
ejpam-1170	176	11	for	for	ADP
ejpam-1170	176	12	all	all	DET
ejpam-1170	176	13	t	t	PROPN
ejpam-1170	176	14	≥	≥	NOUN
ejpam-1170	176	15	0	0	NUM
ejpam-1170	176	16	,	,	PUNCT
ejpam-1170	176	17	(	(	PUNCT
ejpam-1170	176	18	ii	ii	NOUN
ejpam-1170	176	19	)	)	PUNCT
ejpam-1170	176	20	h(0	h(0	PROPN
ejpam-1170	176	21	)	)	PUNCT
ejpam-1170	176	22	=	=	SYM
ejpam-1170	176	23	0	0	NUM
ejpam-1170	176	24	,	,	PUNCT
ejpam-1170	176	25	(	(	PUNCT
ejpam-1170	176	26	iii	iii	NOUN
ejpam-1170	176	27	)	)	PUNCT
ejpam-1170	176	28	limt→∞h(t	limt→∞h(t	PROPN
ejpam-1170	176	29	)	)	PUNCT
ejpam-1170	177	1	=	=	SYM
ejpam-1170	177	2	∞.	∞.	PROPN
ejpam-1170	177	3	given	give	VERB
ejpam-1170	177	4	that	that	SCONJ
ejpam-1170	177	5	a	a	DET
ejpam-1170	177	6	unit	unit	NOUN
ejpam-1170	177	7	is	be	AUX
ejpam-1170	177	8	of	of	ADP
ejpam-1170	177	9	age	age	NOUN
ejpam-1170	177	10	t	t	PROPN
ejpam-1170	177	11	,	,	PUNCT
ejpam-1170	177	12	the	the	DET
ejpam-1170	177	13	remaining	remain	VERB
ejpam-1170	177	14	time	time	NOUN
ejpam-1170	177	15	after	after	ADP
ejpam-1170	177	16	time	time	NOUN
ejpam-1170	177	17	t	t	PROPN
ejpam-1170	177	18	is	be	AUX
ejpam-1170	177	19	random	random	ADJ
ejpam-1170	177	20	.	.	PUNCT
ejpam-1170	178	1	the	the	DET
ejpam-1170	178	2	expected	expect	VERB
ejpam-1170	178	3	value	value	NOUN
ejpam-1170	178	4	of	of	ADP
ejpam-1170	178	5	this	this	DET
ejpam-1170	178	6	random	random	ADJ
ejpam-1170	178	7	residual	residual	ADJ
ejpam-1170	178	8	life	life	NOUN
ejpam-1170	178	9	is	be	AUX
ejpam-1170	178	10	called	call	VERB
ejpam-1170	178	11	the	the	DET
ejpam-1170	178	12	mean	mean	ADJ
ejpam-1170	178	13	residual	residual	ADJ
ejpam-1170	178	14	life(mrl	life(mrl	NOUN
ejpam-1170	178	15	)	)	PUNCT
ejpam-1170	178	16	at	at	ADP
ejpam-1170	178	17	time	time	NOUN
ejpam-1170	178	18	t.	t.	NOUN
ejpam-1170	178	19	the	the	DET
ejpam-1170	178	20	mean	mean	ADJ
ejpam-1170	178	21	residual	residual	ADJ
ejpam-1170	178	22	life	life	NOUN
ejpam-1170	178	23	(	(	PUNCT
ejpam-1170	178	24	mrl	mrl	PROPN
ejpam-1170	178	25	)	)	PUNCT
ejpam-1170	178	26	at	at	ADP
ejpam-1170	178	27	a	a	DET
ejpam-1170	178	28	given	give	VERB
ejpam-1170	178	29	time	time	NOUN
ejpam-1170	178	30	t	t	NOUN
ejpam-1170	178	31	measures	measure	NOUN
ejpam-1170	178	32	the	the	DET
ejpam-1170	178	33	expected	expect	VERB
ejpam-1170	178	34	remaining	remain	VERB
ejpam-1170	178	35	life	life	NOUN
ejpam-1170	178	36	time	time	NOUN
ejpam-1170	178	37	of	of	ADP
ejpam-1170	178	38	an	an	DET
ejpam-1170	178	39	individual	individual	NOUN
ejpam-1170	178	40	of	of	ADP
ejpam-1170	178	41	age	age	NOUN
ejpam-1170	178	42	t.	t.	NOUN
ejpam-1170	178	43	it	it	PRON
ejpam-1170	178	44	is	be	AUX
ejpam-1170	178	45	given	give	VERB
ejpam-1170	178	46	by	by	ADP
ejpam-1170	178	47	m(t	m(t	NOUN
ejpam-1170	178	48	)	)	PUNCT
ejpam-1170	179	1	=	=	PUNCT
ejpam-1170	179	2	e(t	e(t	PROPN
ejpam-1170	179	3	−	−	PROPN
ejpam-1170	179	4	t|t	t|t	PROPN
ejpam-1170	179	5	≥	≥	PROPN
ejpam-1170	179	6	t	t	PROPN
ejpam-1170	179	7	)	)	PUNCT
ejpam-1170	179	8	g.	g.	PROPN
ejpam-1170	179	9	aryal	aryal	PROPN
ejpam-1170	179	10	,	,	PUNCT
ejpam-1170	179	11	c.	c.	PROPN
ejpam-1170	179	12	tsokos	tsokos	PROPN
ejpam-1170	179	13	/	/	SYM
ejpam-1170	179	14	eur	eur	PROPN
ejpam-1170	179	15	.	.	PUNCT
ejpam-1170	180	1	j.	j.	PROPN
ejpam-1170	180	2	pure	pure	PROPN
ejpam-1170	180	3	appl	appl	PROPN
ejpam-1170	180	4	.	.	PROPN
ejpam-1170	180	5	math	math	PROPN
ejpam-1170	180	6	,	,	PUNCT
ejpam-1170	180	7	4	4	NUM
ejpam-1170	180	8	(	(	PUNCT
ejpam-1170	180	9	2011	2011	NUM
ejpam-1170	180	10	)	)	PUNCT
ejpam-1170	180	11	,	,	PUNCT
ejpam-1170	180	12	89	89	NUM
ejpam-1170	180	13	-	-	SYM
ejpam-1170	180	14	102	102	NUM
ejpam-1170	180	15	97	97	NUM
ejpam-1170	180	16	=	=	SYM
ejpam-1170	180	17	1	1	NUM
ejpam-1170	180	18	r(t	r(t	NOUN
ejpam-1170	180	19	)	)	PUNCT
ejpam-1170	180	20	∫	∫	PROPN
ejpam-1170	181	1	∞	∞	PROPN
ejpam-1170	181	2	t	t	PROPN
ejpam-1170	181	3	r(u)du	r(u)du	PRON
ejpam-1170	181	4	note	note	VERB
ejpam-1170	181	5	that	that	SCONJ
ejpam-1170	181	6	m(0	m(0	NOUN
ejpam-1170	181	7	)	)	PUNCT
ejpam-1170	181	8	is	be	AUX
ejpam-1170	181	9	the	the	DET
ejpam-1170	181	10	mean	mean	ADJ
ejpam-1170	181	11	time	time	NOUN
ejpam-1170	181	12	to	to	ADP
ejpam-1170	181	13	failure	failure	NOUN
ejpam-1170	181	14	.	.	PUNCT
ejpam-1170	182	1	the	the	DET
ejpam-1170	182	2	mrl	mrl	PROPN
ejpam-1170	182	3	can	can	AUX
ejpam-1170	182	4	be	be	AUX
ejpam-1170	182	5	expressed	express	VERB
ejpam-1170	182	6	in	in	ADP
ejpam-1170	182	7	terms	term	NOUN
ejpam-1170	182	8	of	of	ADP
ejpam-1170	182	9	the	the	DET
ejpam-1170	182	10	cumulative	cumulative	ADJ
ejpam-1170	182	11	hazard	hazard	NOUN
ejpam-1170	182	12	rate	rate	NOUN
ejpam-1170	182	13	function	function	NOUN
ejpam-1170	182	14	as	as	ADP
ejpam-1170	182	15	m(t	m(t	NOUN
ejpam-1170	182	16	)	)	PUNCT
ejpam-1170	183	1	=	=	SYM
ejpam-1170	183	2	∫	∫	PROPN
ejpam-1170	184	1	∞	∞	PROPN
ejpam-1170	184	2	0	0	NUM
ejpam-1170	184	3	exp	exp	NOUN
ejpam-1170	184	4	[	[	X
ejpam-1170	184	5	h(t)−h(t	h(t)−h(t	NOUN
ejpam-1170	184	6	+	+	X
ejpam-1170	184	7	x)]d	x)]d	PROPN
ejpam-1170	184	8	x	x	X
ejpam-1170	184	9	.	.	PUNCT
ejpam-1170	185	1	the	the	DET
ejpam-1170	185	2	mean	mean	ADJ
ejpam-1170	185	3	residual	residual	ADJ
ejpam-1170	185	4	life	life	NOUN
ejpam-1170	185	5	can	can	AUX
ejpam-1170	185	6	also	also	ADV
ejpam-1170	185	7	be	be	AUX
ejpam-1170	185	8	related	relate	VERB
ejpam-1170	185	9	to	to	ADP
ejpam-1170	185	10	the	the	DET
ejpam-1170	185	11	failure	failure	NOUN
ejpam-1170	185	12	rate	rate	NOUN
ejpam-1170	185	13	h(t	h(t	PROPN
ejpam-1170	185	14	)	)	PUNCT
ejpam-1170	185	15	of	of	ADP
ejpam-1170	185	16	the	the	DET
ejpam-1170	185	17	random	random	ADJ
ejpam-1170	185	18	variable	variable	NOUN
ejpam-1170	185	19	through	through	ADP
ejpam-1170	185	20	m	m	PROPN
ejpam-1170	185	21	′	′	NUM
ejpam-1170	185	22	(	(	PUNCT
ejpam-1170	185	23	t	t	NOUN
ejpam-1170	185	24	)	)	PUNCT
ejpam-1170	186	1	=	=	SYM
ejpam-1170	186	2	m(t)h(t)−	m(t)h(t)−	PROPN
ejpam-1170	187	1	1	1	X
ejpam-1170	187	2	.	.	PUNCT
ejpam-1170	188	1	the	the	DET
ejpam-1170	188	2	mrl	mrl	PROPN
ejpam-1170	188	3	function	function	NOUN
ejpam-1170	188	4	as	as	ADV
ejpam-1170	188	5	well	well	ADV
ejpam-1170	188	6	as	as	ADP
ejpam-1170	188	7	the	the	DET
ejpam-1170	188	8	hazard	hazard	NOUN
ejpam-1170	188	9	rate	rate	NOUN
ejpam-1170	188	10	or	or	CCONJ
ejpam-1170	188	11	failure	failure	NOUN
ejpam-1170	188	12	rate(fr	rate(fr	NOUN
ejpam-1170	188	13	)	)	PUNCT
ejpam-1170	188	14	function	function	NOUN
ejpam-1170	188	15	is	be	AUX
ejpam-1170	188	16	very	very	ADV
ejpam-1170	188	17	important	important	ADJ
ejpam-1170	188	18	as	as	SCONJ
ejpam-1170	188	19	each	each	PRON
ejpam-1170	188	20	of	of	ADP
ejpam-1170	188	21	them	they	PRON
ejpam-1170	188	22	can	can	AUX
ejpam-1170	188	23	be	be	AUX
ejpam-1170	188	24	used	use	VERB
ejpam-1170	188	25	to	to	PART
ejpam-1170	188	26	characterize	characterize	VERB
ejpam-1170	188	27	a	a	DET
ejpam-1170	188	28	unique	unique	ADJ
ejpam-1170	188	29	corresponding	corresponding	ADJ
ejpam-1170	188	30	life	life	NOUN
ejpam-1170	188	31	time	time	NOUN
ejpam-1170	188	32	distribution	distribution	NOUN
ejpam-1170	188	33	.	.	PUNCT
ejpam-1170	189	1	life	life	NOUN
ejpam-1170	189	2	times	time	NOUN
ejpam-1170	189	3	can	can	AUX
ejpam-1170	189	4	exhibit	exhibit	VERB
ejpam-1170	189	5	imrl	imrl	VERB
ejpam-1170	189	6	(	(	PUNCT
ejpam-1170	189	7	increasing	increase	VERB
ejpam-1170	189	8	mrl	mrl	PROPN
ejpam-1170	189	9	)	)	PUNCT
ejpam-1170	189	10	or	or	CCONJ
ejpam-1170	189	11	dmrl	dmrl	VERB
ejpam-1170	189	12	(	(	PUNCT
ejpam-1170	189	13	decreasing	decrease	VERB
ejpam-1170	189	14	mrl	mrl	PROPN
ejpam-1170	189	15	)	)	PUNCT
ejpam-1170	189	16	.	.	PUNCT
ejpam-1170	190	1	mrl	mrl	PROPN
ejpam-1170	190	2	functions	function	NOUN
ejpam-1170	190	3	that	that	PRON
ejpam-1170	190	4	first	first	ADJ
ejpam-1170	190	5	decreases	decrease	NOUN
ejpam-1170	190	6	(	(	PUNCT
ejpam-1170	190	7	increases	increase	NOUN
ejpam-1170	190	8	)	)	PUNCT
ejpam-1170	190	9	and	and	CCONJ
ejpam-1170	190	10	then	then	ADV
ejpam-1170	190	11	increases	increase	VERB
ejpam-1170	190	12	(	(	PUNCT
ejpam-1170	190	13	decreases	decrease	NOUN
ejpam-1170	190	14	)	)	PUNCT
ejpam-1170	190	15	are	be	AUX
ejpam-1170	190	16	usually	usually	ADV
ejpam-1170	190	17	called	call	VERB
ejpam-1170	190	18	bathtub	bathtub	PROPN
ejpam-1170	190	19	(	(	PUNCT
ejpam-1170	190	20	upside	upside	ADV
ejpam-1170	190	21	-	-	PUNCT
ejpam-1170	190	22	down	down	ADP
ejpam-1170	190	23	bathtub	bathtub	NOUN
ejpam-1170	190	24	)	)	PUNCT
ejpam-1170	190	25	shaped	shape	VERB
ejpam-1170	190	26	,	,	PUNCT
ejpam-1170	190	27	bmrl	bmrl	NOUN
ejpam-1170	190	28	(	(	PUNCT
ejpam-1170	190	29	umrl	umrl	INTJ
ejpam-1170	190	30	)	)	PUNCT
ejpam-1170	190	31	.	.	PUNCT
ejpam-1170	191	1	the	the	DET
ejpam-1170	191	2	relationship	relationship	NOUN
ejpam-1170	191	3	between	between	ADP
ejpam-1170	191	4	the	the	DET
ejpam-1170	191	5	behaviors	behavior	NOUN
ejpam-1170	191	6	of	of	ADP
ejpam-1170	191	7	the	the	DET
ejpam-1170	191	8	two	two	NUM
ejpam-1170	191	9	functions	function	NOUN
ejpam-1170	191	10	of	of	ADP
ejpam-1170	191	11	a	a	DET
ejpam-1170	191	12	distribution	distribution	NOUN
ejpam-1170	191	13	was	be	AUX
ejpam-1170	191	14	studied	study	VERB
ejpam-1170	191	15	by	by	ADP
ejpam-1170	191	16	many	many	ADJ
ejpam-1170	191	17	authors	author	NOUN
ejpam-1170	191	18	.	.	PUNCT
ejpam-1170	192	1	the	the	DET
ejpam-1170	192	2	following	follow	VERB
ejpam-1170	192	3	theorem	theorem	NOUN
ejpam-1170	192	4	in	in	ADP
ejpam-1170	192	5	[	[	X
ejpam-1170	192	6	4	4	NUM
ejpam-1170	192	7	]	]	PUNCT
ejpam-1170	192	8	summarizes	summarize	VERB
ejpam-1170	192	9	the	the	DET
ejpam-1170	192	10	results	result	NOUN
ejpam-1170	192	11	of	of	ADP
ejpam-1170	192	12	the	the	DET
ejpam-1170	192	13	studies	study	NOUN
ejpam-1170	192	14	.	.	PUNCT
ejpam-1170	193	1	for	for	ADP
ejpam-1170	193	2	a	a	DET
ejpam-1170	193	3	nonnegative	nonnegative	ADJ
ejpam-1170	193	4	random	random	ADJ
ejpam-1170	193	5	variable	variable	NOUN
ejpam-1170	193	6	t	t	PROPN
ejpam-1170	193	7	with	with	ADP
ejpam-1170	193	8	pdf	pdf	PROPN
ejpam-1170	193	9	f	f	PROPN
ejpam-1170	193	10	(	(	PUNCT
ejpam-1170	193	11	t	t	PROPN
ejpam-1170	193	12	)	)	PUNCT
ejpam-1170	193	13	,	,	PUNCT
ejpam-1170	193	14	finite	finite	PROPN
ejpam-1170	193	15	mean	mean	PROPN
ejpam-1170	193	16	µ	µ	NOUN
ejpam-1170	193	17	,	,	PUNCT
ejpam-1170	193	18	and	and	CCONJ
ejpam-1170	193	19	differentiable	differentiable	VERB
ejpam-1170	193	20	fr	fr	PROPN
ejpam-1170	193	21	function	function	NOUN
ejpam-1170	193	22	h(t	h(t	PROPN
ejpam-1170	193	23	)	)	PUNCT
ejpam-1170	193	24	,	,	PUNCT
ejpam-1170	193	25	the	the	DET
ejpam-1170	193	26	mrl	mrl	PROPN
ejpam-1170	193	27	function	function	NOUN
ejpam-1170	193	28	is	be	AUX
ejpam-1170	193	29	(	(	PUNCT
ejpam-1170	193	30	i	i	NOUN
ejpam-1170	193	31	)	)	PUNCT
ejpam-1170	193	32	constant	constant	ADJ
ejpam-1170	193	33	=	=	PUNCT
ejpam-1170	193	34	µ	µ	NOUN
ejpam-1170	193	35	if	if	SCONJ
ejpam-1170	193	36	t	t	PROPN
ejpam-1170	193	37	has	have	VERB
ejpam-1170	193	38	an	an	DET
ejpam-1170	193	39	exponential	exponential	ADJ
ejpam-1170	193	40	distribution	distribution	NOUN
ejpam-1170	193	41	.	.	PUNCT
ejpam-1170	194	1	(	(	PUNCT
ejpam-1170	194	2	ii	ii	NOUN
ejpam-1170	194	3	)	)	PUNCT
ejpam-1170	194	4	dmrl	dmrl	NOUN
ejpam-1170	194	5	(	(	PUNCT
ejpam-1170	194	6	imrl	imrl	NOUN
ejpam-1170	194	7	)	)	PUNCT
ejpam-1170	194	8	if	if	SCONJ
ejpam-1170	194	9	h(t	h(t	PROPN
ejpam-1170	194	10	)	)	PUNCT
ejpam-1170	194	11	)	)	PUNCT
ejpam-1170	194	12	is	be	AUX
ejpam-1170	194	13	ifr	ifr	PROPN
ejpam-1170	194	14	(	(	PUNCT
ejpam-1170	194	15	dfr	dfr	PROPN
ejpam-1170	194	16	)	)	PUNCT
ejpam-1170	194	17	.	.	PUNCT
ejpam-1170	195	1	(	(	PUNCT
ejpam-1170	195	2	iii	iii	X
ejpam-1170	195	3	)	)	PUNCT
ejpam-1170	195	4	umrl	umrl	NOUN
ejpam-1170	195	5	(	(	PUNCT
ejpam-1170	195	6	bmrl	bmrl	NOUN
ejpam-1170	195	7	)	)	PUNCT
ejpam-1170	195	8	with	with	ADP
ejpam-1170	195	9	a	a	DET
ejpam-1170	195	10	unique	unique	ADJ
ejpam-1170	195	11	change	change	NOUN
ejpam-1170	195	12	point	point	NOUN
ejpam-1170	195	13	tm	tm	INTJ
ejpam-1170	195	14	if	if	SCONJ
ejpam-1170	195	15	h(t	h(t	PROPN
ejpam-1170	195	16	)	)	PUNCT
ejpam-1170	195	17	is	be	AUX
ejpam-1170	195	18	bfr	bfr	PROPN
ejpam-1170	195	19	(	(	PUNCT
ejpam-1170	195	20	ufr	ufr	NOUN
ejpam-1170	195	21	)	)	PUNCT
ejpam-1170	195	22	with	with	ADP
ejpam-1170	195	23	a	a	DET
ejpam-1170	195	24	unique	unique	ADJ
ejpam-1170	195	25	change	change	NOUN
ejpam-1170	195	26	point	point	NOUN
ejpam-1170	195	27	tr	tr	VERB
ejpam-1170	195	28	,	,	PUNCT
ejpam-1170	195	29	0	0	NUM
ejpam-1170	195	30	<	<	X
ejpam-1170	195	31	tm	tm	X
ejpam-1170	195	32	<	<	X
ejpam-1170	195	33	tr	tr	X
ejpam-1170	195	34	<	<	X
ejpam-1170	195	35	∞	∞	NUM
ejpam-1170	195	36	and	and	CCONJ
ejpam-1170	195	37	f	f	PROPN
ejpam-1170	195	38	(	(	PUNCT
ejpam-1170	195	39	0)µ	0)µ	PROPN
ejpam-1170	195	40	>	>	X
ejpam-1170	196	1	1	1	NUM
ejpam-1170	196	2	(	(	PUNCT
ejpam-1170	196	3	<	<	NOUN
ejpam-1170	196	4	1	1	NUM
ejpam-1170	196	5	)	)	PUNCT
ejpam-1170	196	6	.	.	PUNCT
ejpam-1170	197	1	in	in	ADP
ejpam-1170	197	2	industrial	industrial	ADJ
ejpam-1170	197	3	reliability	reliability	NOUN
ejpam-1170	197	4	studies	study	NOUN
ejpam-1170	197	5	of	of	ADP
ejpam-1170	197	6	repair	repair	NOUN
ejpam-1170	197	7	,	,	PUNCT
ejpam-1170	197	8	replacement	replacement	NOUN
ejpam-1170	197	9	and	and	CCONJ
ejpam-1170	197	10	other	other	ADJ
ejpam-1170	197	11	maintenance	maintenance	NOUN
ejpam-1170	197	12	strategies	strategy	NOUN
ejpam-1170	197	13	,	,	PUNCT
ejpam-1170	197	14	the	the	DET
ejpam-1170	197	15	mean	mean	ADJ
ejpam-1170	197	16	residual	residual	ADJ
ejpam-1170	197	17	life	life	NOUN
ejpam-1170	197	18	function	function	NOUN
ejpam-1170	197	19	may	may	AUX
ejpam-1170	197	20	be	be	AUX
ejpam-1170	197	21	proven	prove	VERB
ejpam-1170	197	22	to	to	PART
ejpam-1170	197	23	be	be	AUX
ejpam-1170	197	24	more	more	ADV
ejpam-1170	197	25	relevant	relevant	ADJ
ejpam-1170	197	26	than	than	ADP
ejpam-1170	197	27	the	the	DET
ejpam-1170	197	28	failure	failure	NOUN
ejpam-1170	197	29	rate	rate	NOUN
ejpam-1170	197	30	function	function	NOUN
ejpam-1170	197	31	.	.	PUNCT
ejpam-1170	198	1	if	if	SCONJ
ejpam-1170	198	2	the	the	DET
ejpam-1170	198	3	goal	goal	NOUN
ejpam-1170	198	4	is	be	AUX
ejpam-1170	198	5	to	to	PART
ejpam-1170	198	6	improve	improve	VERB
ejpam-1170	198	7	the	the	DET
ejpam-1170	198	8	average	average	ADJ
ejpam-1170	198	9	system	system	NOUN
ejpam-1170	198	10	lifetime	lifetime	NOUN
ejpam-1170	198	11	then	then	ADV
ejpam-1170	198	12	the	the	DET
ejpam-1170	198	13	mean	mean	ADJ
ejpam-1170	198	14	residual	residual	ADJ
ejpam-1170	198	15	life	life	NOUN
ejpam-1170	198	16	is	be	AUX
ejpam-1170	198	17	the	the	DET
ejpam-1170	198	18	relevant	relevant	ADJ
ejpam-1170	198	19	measure	measure	NOUN
ejpam-1170	198	20	.	.	PUNCT
ejpam-1170	199	1	note	note	VERB
ejpam-1170	199	2	that	that	SCONJ
ejpam-1170	199	3	the	the	DET
ejpam-1170	199	4	failure	failure	NOUN
ejpam-1170	199	5	rate	rate	NOUN
ejpam-1170	199	6	function	function	NOUN
ejpam-1170	199	7	relates	relate	VERB
ejpam-1170	199	8	only	only	ADV
ejpam-1170	199	9	to	to	ADP
ejpam-1170	199	10	the	the	DET
ejpam-1170	199	11	risk	risk	NOUN
ejpam-1170	199	12	of	of	ADP
ejpam-1170	199	13	immediate	immediate	ADJ
ejpam-1170	199	14	failure	failure	NOUN
ejpam-1170	199	15	where	where	SCONJ
ejpam-1170	199	16	as	as	SCONJ
ejpam-1170	199	17	the	the	DET
ejpam-1170	199	18	mean	mean	ADJ
ejpam-1170	199	19	residual	residual	ADJ
ejpam-1170	199	20	life	life	NOUN
ejpam-1170	199	21	summaries	summarie	VERB
ejpam-1170	199	22	the	the	DET
ejpam-1170	199	23	entire	entire	ADJ
ejpam-1170	199	24	residual	residual	ADJ
ejpam-1170	199	25	life	life	NOUN
ejpam-1170	199	26	distribution	distribution	NOUN
ejpam-1170	199	27	.	.	PUNCT
ejpam-1170	200	1	the	the	DET
ejpam-1170	200	2	mrl	mrl	PROPN
ejpam-1170	200	3	function	function	PROPN
ejpam-1170	200	4	m(t)for	m(t)for	ADP
ejpam-1170	200	5	a	a	DET
ejpam-1170	200	6	transmuted	transmute	VERB
ejpam-1170	200	7	weibull	weibull	NOUN
ejpam-1170	200	8	random	random	ADJ
ejpam-1170	200	9	variable	variable	NOUN
ejpam-1170	200	10	can	can	AUX
ejpam-1170	200	11	be	be	AUX
ejpam-1170	200	12	expressed	express	VERB
ejpam-1170	200	13	in	in	ADP
ejpam-1170	200	14	terms	term	NOUN
ejpam-1170	200	15	of	of	ADP
ejpam-1170	200	16	incomplete	incomplete	ADJ
ejpam-1170	200	17	gamma	gamma	NOUN
ejpam-1170	200	18	function	function	NOUN
ejpam-1170	200	19	as	as	SCONJ
ejpam-1170	200	20	given	give	VERB
ejpam-1170	200	21	below	below	ADV
ejpam-1170	200	22	:	:	PUNCT
ejpam-1170	200	23	m(t	m(t	NOUN
ejpam-1170	200	24	)	)	PUNCT
ejpam-1170	201	1	=	=	SYM
ejpam-1170	201	2	σ	σ	PROPN
ejpam-1170	201	3	η	η	PROPN
ejpam-1170	201	4	exp	exp	PRON
ejpam-1170	201	5	�	�	PROPN
ejpam-1170	201	6	(	(	PUNCT
ejpam-1170	201	7	t	t	PROPN
ejpam-1170	201	8	σ	σ	PROPN
ejpam-1170	201	9	)	)	PUNCT
ejpam-1170	201	10	η	η	PROPN
ejpam-1170	201	11	�	�	PROPN
ejpam-1170	202	1	[	[	X
ejpam-1170	202	2	1−λ+λexp	1−λ+λexp	NUM
ejpam-1170	202	3	�	�	PROPN
ejpam-1170	202	4	−	−	PROPN
ejpam-1170	202	5	(	(	PUNCT
ejpam-1170	202	6	t	t	PROPN
ejpam-1170	202	7	σ	σ	PROPN
ejpam-1170	202	8	)	)	PUNCT
ejpam-1170	202	9	η	η	PROPN
ejpam-1170	202	10	�	�	PROPN
ejpam-1170	202	11	]	]	SYM
ejpam-1170	202	12	�	�	PROPN
ejpam-1170	202	13	(	(	PUNCT
ejpam-1170	202	14	1−λ)γ	1−λ)γ	NUM
ejpam-1170	202	15	�	�	PROPN
ejpam-1170	202	16	1	1	NUM
ejpam-1170	202	17	η	η	PROPN
ejpam-1170	202	18	,	,	PUNCT
ejpam-1170	202	19	�	�	PROPN
ejpam-1170	202	20	t	t	PROPN
ejpam-1170	202	21	σ	σ	PROPN
ejpam-1170	202	22	�	�	PROPN
ejpam-1170	202	23	η	η	PROPN
ejpam-1170	202	24	�	�	PROPN
ejpam-1170	202	25	+	+	PROPN
ejpam-1170	202	26	λ2	λ2	PROPN
ejpam-1170	202	27	−	−	NOUN
ejpam-1170	202	28	1	1	NUM
ejpam-1170	202	29	ηγ	ηγ	PROPN
ejpam-1170	202	30	�	�	PROPN
ejpam-1170	202	31	1	1	NUM
ejpam-1170	202	32	η	η	PROPN
ejpam-1170	202	33	,	,	PUNCT
ejpam-1170	202	34	2	2	NUM
ejpam-1170	202	35	�	�	PROPN
ejpam-1170	202	36	t	t	PROPN
ejpam-1170	202	37	σ	σ	PROPN
ejpam-1170	202	38	�	�	PROPN
ejpam-1170	202	39	η	η	PROPN
ejpam-1170	202	40	�	�	PROPN
ejpam-1170	202	41	�	�	PROPN
ejpam-1170	202	42	,	,	PUNCT
ejpam-1170	202	43	where	where	SCONJ
ejpam-1170	202	44	γ(a	γ(a	NOUN
ejpam-1170	202	45	,	,	PUNCT
ejpam-1170	202	46	x	x	NOUN
ejpam-1170	202	47	)	)	PUNCT
ejpam-1170	202	48	=	=	SYM
ejpam-1170	202	49	∫∞	∫∞	NOUN
ejpam-1170	202	50	x	x	PUNCT
ejpam-1170	202	51	e−zza−1dz	e−zza−1dz	ADJ
ejpam-1170	202	52	are	be	AUX
ejpam-1170	202	53	the	the	DET
ejpam-1170	202	54	upper	upper	ADJ
ejpam-1170	202	55	incomplete	incomplete	ADJ
ejpam-1170	202	56	gamma	gamma	NOUN
ejpam-1170	202	57	function	function	NOUN
ejpam-1170	202	58	.	.	PUNCT
ejpam-1170	203	1	g.	g.	PROPN
ejpam-1170	203	2	aryal	aryal	PROPN
ejpam-1170	203	3	,	,	PUNCT
ejpam-1170	203	4	c.	c.	PROPN
ejpam-1170	203	5	tsokos	tsokos	PROPN
ejpam-1170	203	6	/	/	SYM
ejpam-1170	203	7	eur	eur	PROPN
ejpam-1170	203	8	.	.	PUNCT
ejpam-1170	204	1	j.	j.	PROPN
ejpam-1170	204	2	pure	pure	PROPN
ejpam-1170	204	3	appl	appl	PROPN
ejpam-1170	204	4	.	.	PROPN
ejpam-1170	204	5	math	math	PROPN
ejpam-1170	204	6	,	,	PUNCT
ejpam-1170	204	7	4	4	NUM
ejpam-1170	204	8	(	(	PUNCT
ejpam-1170	204	9	2011	2011	NUM
ejpam-1170	204	10	)	)	PUNCT
ejpam-1170	204	11	,	,	PUNCT
ejpam-1170	204	12	89	89	NUM
ejpam-1170	204	13	-	-	SYM
ejpam-1170	204	14	102	102	NUM
ejpam-1170	204	15	98	98	NUM
ejpam-1170	204	16	5	5	NUM
ejpam-1170	204	17	.	.	PUNCT
ejpam-1170	205	1	order	order	NOUN
ejpam-1170	205	2	statistics	statistic	NOUN
ejpam-1170	205	3	we	we	PRON
ejpam-1170	205	4	know	know	VERB
ejpam-1170	205	5	that	that	SCONJ
ejpam-1170	205	6	if	if	SCONJ
ejpam-1170	205	7	x(1	x(1	PROPN
ejpam-1170	205	8	)	)	PUNCT
ejpam-1170	205	9	,	,	PUNCT
ejpam-1170	205	10	x(2	x(2	PROPN
ejpam-1170	205	11	)	)	PUNCT
ejpam-1170	205	12	,	,	PUNCT
ejpam-1170	205	13	·	·	PUNCT
ejpam-1170	205	14	·	·	PUNCT
ejpam-1170	205	15	·	·	PUNCT
ejpam-1170	205	16	,	,	PUNCT
ejpam-1170	205	17	x(n	x(n	NOUN
ejpam-1170	205	18	)	)	PUNCT
ejpam-1170	205	19	denotes	denote	VERB
ejpam-1170	205	20	the	the	DET
ejpam-1170	205	21	order	order	NOUN
ejpam-1170	205	22	statistics	statistic	NOUN
ejpam-1170	205	23	of	of	ADP
ejpam-1170	205	24	a	a	DET
ejpam-1170	205	25	random	random	ADJ
ejpam-1170	205	26	sample	sample	NOUN
ejpam-1170	206	1	x1	x1	PROPN
ejpam-1170	206	2	,	,	PUNCT
ejpam-1170	206	3	x2	x2	PROPN
ejpam-1170	206	4	,	,	PUNCT
ejpam-1170	206	5	·	·	PUNCT
ejpam-1170	206	6	·	·	PUNCT
ejpam-1170	206	7	·	·	PUNCT
ejpam-1170	206	8	,	,	PUNCT
ejpam-1170	206	9	xn	xn	PROPN
ejpam-1170	206	10	from	from	ADP
ejpam-1170	206	11	a	a	DET
ejpam-1170	206	12	continuous	continuous	ADJ
ejpam-1170	206	13	population	population	NOUN
ejpam-1170	206	14	with	with	ADP
ejpam-1170	206	15	cdf	cdf	PROPN
ejpam-1170	206	16	fx	fx	PROPN
ejpam-1170	206	17	(	(	PUNCT
ejpam-1170	206	18	x	x	NOUN
ejpam-1170	206	19	)	)	PUNCT
ejpam-1170	206	20	and	and	CCONJ
ejpam-1170	206	21	pdf	pdf	NOUN
ejpam-1170	206	22	fx	fx	PROPN
ejpam-1170	206	23	(	(	PUNCT
ejpam-1170	206	24	x	x	X
ejpam-1170	206	25	)	)	PUNCT
ejpam-1170	206	26	then	then	ADV
ejpam-1170	206	27	the	the	DET
ejpam-1170	206	28	pdf	pdf	NOUN
ejpam-1170	206	29	of	of	ADP
ejpam-1170	206	30	x	x	PROPN
ejpam-1170	206	31	(	(	PUNCT
ejpam-1170	206	32	j	j	NOUN
ejpam-1170	206	33	)	)	PUNCT
ejpam-1170	206	34	is	be	AUX
ejpam-1170	206	35	given	give	VERB
ejpam-1170	206	36	by	by	ADP
ejpam-1170	206	37	fx	fx	PROPN
ejpam-1170	206	38	(	(	PUNCT
ejpam-1170	206	39	j	j	NOUN
ejpam-1170	206	40	)	)	PUNCT
ejpam-1170	206	41	(	(	PUNCT
ejpam-1170	206	42	x	x	X
ejpam-1170	206	43	)	)	PUNCT
ejpam-1170	206	44	=	=	SYM
ejpam-1170	206	45	n	n	X
ejpam-1170	206	46	!	!	PUNCT
ejpam-1170	207	1	(	(	PUNCT
ejpam-1170	207	2	j−	j−	VERB
ejpam-1170	207	3	1)!(n−	1)!(n−	NUM
ejpam-1170	207	4	j	j	PROPN
ejpam-1170	207	5	)	)	PUNCT
ejpam-1170	207	6	!	!	PUNCT
ejpam-1170	208	1	fx	fx	PROPN
ejpam-1170	208	2	(	(	PUNCT
ejpam-1170	208	3	x)[fx	x)[fx	PROPN
ejpam-1170	208	4	(	(	PUNCT
ejpam-1170	208	5	x	x	NOUN
ejpam-1170	208	6	)	)	PUNCT
ejpam-1170	208	7	]	]	PUNCT
ejpam-1170	209	1	j−1[1−	j−1[1−	PROPN
ejpam-1170	209	2	fx	fx	PROPN
ejpam-1170	209	3	(	(	PUNCT
ejpam-1170	209	4	x	x	NOUN
ejpam-1170	209	5	)	)	PUNCT
ejpam-1170	209	6	]	]	PUNCT
ejpam-1170	209	7	n−	n−	PROPN
ejpam-1170	209	8	j	j	PROPN
ejpam-1170	209	9	for	for	ADP
ejpam-1170	209	10	j	j	PROPN
ejpam-1170	209	11	=	=	SYM
ejpam-1170	209	12	1,2	1,2	NUM
ejpam-1170	209	13	,	,	PUNCT
ejpam-1170	209	14	·	·	PUNCT
ejpam-1170	209	15	·	·	PUNCT
ejpam-1170	209	16	·	·	PUNCT
ejpam-1170	209	17	,	,	PUNCT
ejpam-1170	209	18	n.	n.	INTJ
ejpam-1170	209	19	we	we	PRON
ejpam-1170	209	20	have	have	VERB
ejpam-1170	209	21	from	from	ADP
ejpam-1170	209	22	(	(	PUNCT
ejpam-1170	209	23	2	2	NUM
ejpam-1170	209	24	)	)	PUNCT
ejpam-1170	209	25	and	and	CCONJ
ejpam-1170	209	26	(	(	PUNCT
ejpam-1170	209	27	3	3	X
ejpam-1170	209	28	)	)	PUNCT
ejpam-1170	209	29	the	the	DET
ejpam-1170	209	30	pdf	pdf	NOUN
ejpam-1170	209	31	of	of	ADP
ejpam-1170	209	32	the	the	DET
ejpam-1170	209	33	j	j	PROPN
ejpam-1170	209	34	th	th	X
ejpam-1170	209	35	order	order	NOUN
ejpam-1170	209	36	weibull	weibull	PROPN
ejpam-1170	209	37	random	random	ADJ
ejpam-1170	209	38	variable	variable	NOUN
ejpam-1170	209	39	x	x	NOUN
ejpam-1170	209	40	(	(	PUNCT
ejpam-1170	209	41	j	j	NOUN
ejpam-1170	209	42	)	)	PUNCT
ejpam-1170	209	43	given	give	VERB
ejpam-1170	209	44	by	by	ADP
ejpam-1170	209	45	gx	gx	PROPN
ejpam-1170	209	46	(	(	PUNCT
ejpam-1170	209	47	j	j	PROPN
ejpam-1170	209	48	)	)	PUNCT
ejpam-1170	209	49	(	(	PUNCT
ejpam-1170	209	50	x	x	X
ejpam-1170	209	51	)	)	PUNCT
ejpam-1170	209	52	=	=	SYM
ejpam-1170	209	53	n	n	X
ejpam-1170	209	54	!	!	PUNCT
ejpam-1170	210	1	(	(	PUNCT
ejpam-1170	210	2	j−	j−	VERB
ejpam-1170	210	3	1)!(n−	1)!(n−	NUM
ejpam-1170	210	4	j	j	PROPN
ejpam-1170	210	5	)	)	PUNCT
ejpam-1170	210	6	!	!	PUNCT
ejpam-1170	211	1	η	η	PROPN
ejpam-1170	211	2	σ	σ	PROPN
ejpam-1170	211	3	�	�	PROPN
ejpam-1170	211	4	x	x	PROPN
ejpam-1170	211	5	σ	σ	PROPN
ejpam-1170	211	6	�	�	PROPN
ejpam-1170	211	7	η−1	η−1	PROPN
ejpam-1170	211	8	exp	exp	NOUN
ejpam-1170	211	9	�	�	PROPN
ejpam-1170	211	10	−(n+	−(n+	PROPN
ejpam-1170	211	11	1−	1−	NUM
ejpam-1170	211	12	j	j	PROPN
ejpam-1170	211	13	)	)	PUNCT
ejpam-1170	211	14	�	�	PROPN
ejpam-1170	211	15	x	x	PROPN
ejpam-1170	211	16	σ	σ	PROPN
ejpam-1170	211	17	�	�	PROPN
ejpam-1170	211	18	η	η	PROPN
ejpam-1170	211	19	�	�	PROPN
ejpam-1170	211	20	�	�	PROPN
ejpam-1170	211	21	1−	1−	NUM
ejpam-1170	211	22	exp	exp	NOUN
ejpam-1170	211	23	�	�	PROPN
ejpam-1170	211	24	−	−	PROPN
ejpam-1170	211	25	�	�	PROPN
ejpam-1170	211	26	x	x	PROPN
ejpam-1170	211	27	σ	σ	PROPN
ejpam-1170	211	28	�	�	PROPN
ejpam-1170	211	29	η	η	PROPN
ejpam-1170	211	30	�	�	PROPN
ejpam-1170	211	31	�	�	PROPN
ejpam-1170	211	32	j−1	j−1	PROPN
ejpam-1170	211	33	therefore	therefore	ADV
ejpam-1170	211	34	,	,	PUNCT
ejpam-1170	211	35	the	the	DET
ejpam-1170	211	36	pdf	pdf	NOUN
ejpam-1170	211	37	of	of	ADP
ejpam-1170	211	38	the	the	DET
ejpam-1170	211	39	nth	nth	NOUN
ejpam-1170	211	40	order	order	NOUN
ejpam-1170	211	41	weibull	weibull	PROPN
ejpam-1170	211	42	statistic	statistic	PROPN
ejpam-1170	211	43	x(n	x(n	NOUN
ejpam-1170	211	44	)	)	PUNCT
ejpam-1170	211	45	is	be	AUX
ejpam-1170	211	46	given	give	VERB
ejpam-1170	211	47	by	by	ADP
ejpam-1170	211	48	gx(n	gx(n	NOUN
ejpam-1170	211	49	)	)	PUNCT
ejpam-1170	211	50	(	(	PUNCT
ejpam-1170	211	51	x	x	X
ejpam-1170	211	52	)	)	PUNCT
ejpam-1170	211	53	=	=	SYM
ejpam-1170	211	54	nη	nη	PROPN
ejpam-1170	211	55	σ	σ	PROPN
ejpam-1170	211	56	�	�	PROPN
ejpam-1170	211	57	x	x	PROPN
ejpam-1170	211	58	σ	σ	PROPN
ejpam-1170	211	59	�	�	PROPN
ejpam-1170	211	60	η−1	η−1	PROPN
ejpam-1170	211	61	exp	exp	NOUN
ejpam-1170	211	62	�	�	PROPN
ejpam-1170	211	63	−	−	PROPN
ejpam-1170	211	64	�	�	PROPN
ejpam-1170	211	65	x	x	PROPN
ejpam-1170	211	66	σ	σ	PROPN
ejpam-1170	211	67	�	�	PROPN
ejpam-1170	211	68	η	η	PROPN
ejpam-1170	211	69	�	�	PROPN
ejpam-1170	211	70	�	�	PROPN
ejpam-1170	211	71	1−	1−	NUM
ejpam-1170	211	72	exp	exp	NOUN
ejpam-1170	211	73	�	�	PROPN
ejpam-1170	211	74	−	−	PROPN
ejpam-1170	211	75	�	�	PROPN
ejpam-1170	211	76	x	x	PROPN
ejpam-1170	211	77	σ	σ	PROPN
ejpam-1170	211	78	�	�	PROPN
ejpam-1170	211	79	η	η	PROPN
ejpam-1170	211	80	�	�	PROPN
ejpam-1170	211	81	�	�	PROPN
ejpam-1170	211	82	n−1	n−1	PROPN
ejpam-1170	211	83	(	(	PUNCT
ejpam-1170	211	84	13	13	NUM
ejpam-1170	211	85	)	)	PUNCT
ejpam-1170	211	86	and	and	CCONJ
ejpam-1170	211	87	the	the	DET
ejpam-1170	211	88	pdf	pdf	NOUN
ejpam-1170	211	89	of	of	ADP
ejpam-1170	211	90	the	the	DET
ejpam-1170	211	91	1st	1st	ADJ
ejpam-1170	211	92	order	order	NOUN
ejpam-1170	211	93	weibull	weibull	PROPN
ejpam-1170	211	94	statistic	statistic	PROPN
ejpam-1170	211	95	x(1	x(1	PROPN
ejpam-1170	211	96	)	)	PUNCT
ejpam-1170	211	97	is	be	AUX
ejpam-1170	211	98	given	give	VERB
ejpam-1170	211	99	by	by	ADP
ejpam-1170	211	100	gx(1	gx(1	PROPN
ejpam-1170	211	101	)	)	PUNCT
ejpam-1170	211	102	(	(	PUNCT
ejpam-1170	211	103	x	x	X
ejpam-1170	211	104	)	)	PUNCT
ejpam-1170	211	105	=	=	SYM
ejpam-1170	211	106	nη	nη	PROPN
ejpam-1170	211	107	σ	σ	PROPN
ejpam-1170	211	108	�	�	PROPN
ejpam-1170	211	109	x	x	PROPN
ejpam-1170	211	110	σ	σ	PROPN
ejpam-1170	211	111	�	�	PROPN
ejpam-1170	211	112	η−1	η−1	PROPN
ejpam-1170	211	113	exp	exp	NOUN
ejpam-1170	211	114	�	�	PROPN
ejpam-1170	211	115	−n	−n	ADV
ejpam-1170	211	116	�	�	PROPN
ejpam-1170	211	117	x	x	PROPN
ejpam-1170	211	118	σ	σ	PROPN
ejpam-1170	211	119	�	�	PROPN
ejpam-1170	211	120	η	η	PROPN
ejpam-1170	211	121	�	�	PROPN
ejpam-1170	211	122	(	(	PUNCT
ejpam-1170	211	123	14	14	NUM
ejpam-1170	211	124	)	)	PUNCT
ejpam-1170	211	125	note	note	VERB
ejpam-1170	211	126	that	that	SCONJ
ejpam-1170	211	127	in	in	ADP
ejpam-1170	211	128	a	a	DET
ejpam-1170	211	129	particular	particular	ADJ
ejpam-1170	211	130	case	case	NOUN
ejpam-1170	211	131	of	of	ADP
ejpam-1170	211	132	n=	n=	ADJ
ejpam-1170	211	133	2	2	NUM
ejpam-1170	211	134	,	,	PUNCT
ejpam-1170	211	135	(	(	PUNCT
ejpam-1170	211	136	13	13	NUM
ejpam-1170	211	137	)	)	PUNCT
ejpam-1170	211	138	yields	yield	VERB
ejpam-1170	211	139	gx(2	gx(2	PROPN
ejpam-1170	211	140	)	)	PUNCT
ejpam-1170	211	141	(	(	PUNCT
ejpam-1170	211	142	x	x	X
ejpam-1170	211	143	)	)	PUNCT
ejpam-1170	211	144	=	=	SYM
ejpam-1170	211	145	2η	2η	PROPN
ejpam-1170	211	146	σ	σ	PROPN
ejpam-1170	211	147	�	�	PROPN
ejpam-1170	211	148	x	x	PROPN
ejpam-1170	211	149	σ	σ	PROPN
ejpam-1170	211	150	�	�	PROPN
ejpam-1170	211	151	η−1	η−1	PROPN
ejpam-1170	211	152	exp	exp	NOUN
ejpam-1170	211	153	�	�	PROPN
ejpam-1170	212	1	−	−	PROPN
ejpam-1170	212	2	�	�	PROPN
ejpam-1170	212	3	x	x	PROPN
ejpam-1170	212	4	σ	σ	PROPN
ejpam-1170	212	5	�	�	PROPN
ejpam-1170	212	6	η	η	PROPN
ejpam-1170	212	7	�	�	PROPN
ejpam-1170	212	8	�	�	PROPN
ejpam-1170	212	9	1−	1−	NUM
ejpam-1170	212	10	exp	exp	NOUN
ejpam-1170	212	11	�	�	PROPN
ejpam-1170	212	12	−	−	PROPN
ejpam-1170	212	13	�	�	PROPN
ejpam-1170	212	14	x	x	PROPN
ejpam-1170	212	15	σ	σ	PROPN
ejpam-1170	212	16	�	�	PROPN
ejpam-1170	212	17	η	η	PROPN
ejpam-1170	212	18	�	�	PROPN
ejpam-1170	212	19	�	�	PROPN
ejpam-1170	212	20	(	(	PUNCT
ejpam-1170	212	21	15	15	NUM
ejpam-1170	212	22	)	)	PUNCT
ejpam-1170	212	23	and	and	CCONJ
ejpam-1170	212	24	(	(	PUNCT
ejpam-1170	212	25	14	14	NUM
ejpam-1170	212	26	)	)	PUNCT
ejpam-1170	212	27	yields	yield	NOUN
ejpam-1170	212	28	gx(1	gx(1	NOUN
ejpam-1170	212	29	)	)	PUNCT
ejpam-1170	212	30	(	(	PUNCT
ejpam-1170	212	31	x	x	X
ejpam-1170	212	32	)	)	PUNCT
ejpam-1170	212	33	=	=	SYM
ejpam-1170	212	34	2η	2η	PROPN
ejpam-1170	212	35	σ	σ	PROPN
ejpam-1170	212	36	�	�	PROPN
ejpam-1170	212	37	x	x	PROPN
ejpam-1170	212	38	σ	σ	PROPN
ejpam-1170	212	39	�	�	PROPN
ejpam-1170	212	40	η−1	η−1	PROPN
ejpam-1170	212	41	exp	exp	NOUN
ejpam-1170	212	42	�	�	PROPN
ejpam-1170	212	43	−2	−2	PROPN
ejpam-1170	212	44	�	�	PROPN
ejpam-1170	212	45	x	x	AUX
ejpam-1170	212	46	σ	σ	PROPN
ejpam-1170	212	47	�	�	PROPN
ejpam-1170	212	48	η	η	PROPN
ejpam-1170	212	49	�	�	PROPN
ejpam-1170	212	50	(	(	PUNCT
ejpam-1170	212	51	16	16	NUM
ejpam-1170	212	52	)	)	PUNCT
ejpam-1170	212	53	observe	observe	VERB
ejpam-1170	212	54	that	that	SCONJ
ejpam-1170	212	55	(	(	PUNCT
ejpam-1170	212	56	15	15	NUM
ejpam-1170	212	57	)	)	PUNCT
ejpam-1170	212	58	and	and	CCONJ
ejpam-1170	212	59	(	(	PUNCT
ejpam-1170	212	60	16	16	NUM
ejpam-1170	212	61	)	)	PUNCT
ejpam-1170	212	62	are	be	AUX
ejpam-1170	212	63	special	special	ADJ
ejpam-1170	212	64	cases	case	NOUN
ejpam-1170	212	65	of	of	ADP
ejpam-1170	212	66	(	(	PUNCT
ejpam-1170	212	67	5	5	NUM
ejpam-1170	212	68	)	)	PUNCT
ejpam-1170	212	69	for	for	ADP
ejpam-1170	212	70	λ	λ	X
ejpam-1170	212	71	=	=	SYM
ejpam-1170	212	72	−1	−1	NOUN
ejpam-1170	212	73	and	and	CCONJ
ejpam-1170	212	74	λ	λ	X
ejpam-1170	212	75	=	=	NOUN
ejpam-1170	212	76	1	1	NUM
ejpam-1170	212	77	respectively	respectively	ADV
ejpam-1170	212	78	.	.	PUNCT
ejpam-1170	213	1	theorem	theorem	VERB
ejpam-1170	213	2	below	below	ADP
ejpam-1170	213	3	summarizes	summarize	NOUN
ejpam-1170	213	4	this	this	DET
ejpam-1170	213	5	relationship	relationship	NOUN
ejpam-1170	213	6	.	.	PUNCT
ejpam-1170	214	1	theorem	theorem	NOUN
ejpam-1170	214	2	2	2	NUM
ejpam-1170	214	3	.	.	PUNCT
ejpam-1170	214	4	suppose	suppose	VERB
ejpam-1170	214	5	we	we	PRON
ejpam-1170	214	6	have	have	VERB
ejpam-1170	214	7	a	a	DET
ejpam-1170	214	8	system	system	NOUN
ejpam-1170	214	9	containing	contain	VERB
ejpam-1170	214	10	two	two	NUM
ejpam-1170	214	11	components	component	NOUN
ejpam-1170	214	12	with	with	ADP
ejpam-1170	214	13	each	each	PRON
ejpam-1170	214	14	of	of	ADP
ejpam-1170	214	15	them	they	PRON
ejpam-1170	214	16	having	have	VERB
ejpam-1170	214	17	independent	independent	ADJ
ejpam-1170	214	18	and	and	CCONJ
ejpam-1170	214	19	identical	identical	ADJ
ejpam-1170	214	20	weibull	weibull	NOUN
ejpam-1170	214	21	distribution	distribution	NOUN
ejpam-1170	214	22	.	.	PUNCT
ejpam-1170	215	1	if	if	SCONJ
ejpam-1170	215	2	the	the	DET
ejpam-1170	215	3	components	component	NOUN
ejpam-1170	215	4	are	be	AUX
ejpam-1170	215	5	connected	connect	VERB
ejpam-1170	215	6	in	in	ADP
ejpam-1170	215	7	series	series	NOUN
ejpam-1170	215	8	then	then	ADV
ejpam-1170	215	9	the	the	DET
ejpam-1170	215	10	overall	overall	ADJ
ejpam-1170	215	11	system	system	NOUN
ejpam-1170	215	12	will	will	AUX
ejpam-1170	215	13	have	have	AUX
ejpam-1170	215	14	transmuted	transmute	VERB
ejpam-1170	215	15	weibull	weibull	NOUN
ejpam-1170	215	16	distribution	distribution	NOUN
ejpam-1170	215	17	with	with	ADP
ejpam-1170	215	18	λ	λ	NOUN
ejpam-1170	215	19	=	=	NOUN
ejpam-1170	215	20	1	1	NUM
ejpam-1170	215	21	whereas	whereas	SCONJ
ejpam-1170	215	22	if	if	SCONJ
ejpam-1170	215	23	the	the	DET
ejpam-1170	215	24	components	component	NOUN
ejpam-1170	215	25	are	be	AUX
ejpam-1170	215	26	parallel	parallel	ADJ
ejpam-1170	215	27	then	then	ADV
ejpam-1170	215	28	the	the	DET
ejpam-1170	215	29	overall	overall	ADJ
ejpam-1170	215	30	system	system	NOUN
ejpam-1170	215	31	will	will	AUX
ejpam-1170	215	32	have	have	AUX
ejpam-1170	215	33	transmuted	transmute	VERB
ejpam-1170	215	34	weibull	weibull	NOUN
ejpam-1170	215	35	distribution	distribution	NOUN
ejpam-1170	215	36	with	with	ADP
ejpam-1170	215	37	λ=	λ=	NOUN
ejpam-1170	215	38	−1	−1	NOUN
ejpam-1170	215	39	.	.	PUNCT
ejpam-1170	216	1	we	we	PRON
ejpam-1170	216	2	know	know	VERB
ejpam-1170	216	3	that	that	SCONJ
ejpam-1170	216	4	a	a	DET
ejpam-1170	216	5	series	series	NOUN
ejpam-1170	216	6	with	with	ADP
ejpam-1170	216	7	n	n	CCONJ
ejpam-1170	216	8	components	component	NOUN
ejpam-1170	216	9	work	work	VERB
ejpam-1170	216	10	if	if	SCONJ
ejpam-1170	216	11	and	and	CCONJ
ejpam-1170	216	12	only	only	ADV
ejpam-1170	216	13	if	if	SCONJ
ejpam-1170	216	14	all	all	DET
ejpam-1170	216	15	the	the	DET
ejpam-1170	216	16	components	component	NOUN
ejpam-1170	216	17	work	work	VERB
ejpam-1170	216	18	.	.	PUNCT
ejpam-1170	217	1	examples	example	NOUN
ejpam-1170	217	2	of	of	ADP
ejpam-1170	217	3	systems	system	NOUN
ejpam-1170	217	4	with	with	ADP
ejpam-1170	217	5	components	component	NOUN
ejpam-1170	217	6	in	in	ADP
ejpam-1170	217	7	series	series	NOUN
ejpam-1170	217	8	include	include	VERB
ejpam-1170	217	9	chains	chain	NOUN
ejpam-1170	217	10	,	,	PUNCT
ejpam-1170	217	11	high	high	ADJ
ejpam-1170	217	12	-	-	PUNCT
ejpam-1170	217	13	voltage	voltage	NOUN
ejpam-1170	217	14	multi	multi	ADJ
ejpam-1170	217	15	-	-	ADJ
ejpam-1170	217	16	cell	cell	ADJ
ejpam-1170	217	17	batteries	battery	NOUN
ejpam-1170	217	18	,	,	PUNCT
ejpam-1170	217	19	inexpensive	inexpensive	ADJ
ejpam-1170	217	20	computer	computer	NOUN
ejpam-1170	217	21	systems	system	NOUN
ejpam-1170	217	22	,	,	PUNCT
ejpam-1170	217	23	and	and	CCONJ
ejpam-1170	217	24	inexpensive	inexpensive	ADJ
ejpam-1170	217	25	decorative	decorative	ADJ
ejpam-1170	217	26	tree	tree	NOUN
ejpam-1170	217	27	lights	light	NOUN
ejpam-1170	217	28	using	use	VERB
ejpam-1170	217	29	low	low	ADJ
ejpam-1170	217	30	voltage	voltage	NOUN
ejpam-1170	217	31	bulbs	bulb	NOUN
ejpam-1170	217	32	etc	etc	X
ejpam-1170	217	33	..	..	X
ejpam-1170	217	34	a	a	DET
ejpam-1170	217	35	parallel	parallel	ADJ
ejpam-1170	217	36	structure	structure	NOUN
ejpam-1170	217	37	with	with	ADP
ejpam-1170	217	38	n	n	PROPN
ejpam-1170	217	39	components	component	NOUN
ejpam-1170	217	40	works	work	VERB
ejpam-1170	217	41	if	if	SCONJ
ejpam-1170	217	42	at	at	ADV
ejpam-1170	217	43	least	least	ADJ
ejpam-1170	217	44	one	one	NUM
ejpam-1170	217	45	of	of	ADP
ejpam-1170	217	46	the	the	DET
ejpam-1170	217	47	components	component	NOUN
ejpam-1170	217	48	works	work	VERB
ejpam-1170	217	49	.	.	PUNCT
ejpam-1170	218	1	g.	g.	PROPN
ejpam-1170	218	2	aryal	aryal	PROPN
ejpam-1170	218	3	,	,	PUNCT
ejpam-1170	218	4	c.	c.	PROPN
ejpam-1170	218	5	tsokos	tsokos	PROPN
ejpam-1170	218	6	/	/	SYM
ejpam-1170	218	7	eur	eur	PROPN
ejpam-1170	218	8	.	.	PUNCT
ejpam-1170	219	1	j.	j.	PROPN
ejpam-1170	219	2	pure	pure	PROPN
ejpam-1170	219	3	appl	appl	PROPN
ejpam-1170	219	4	.	.	PROPN
ejpam-1170	219	5	math	math	PROPN
ejpam-1170	219	6	,	,	PUNCT
ejpam-1170	219	7	4	4	NUM
ejpam-1170	219	8	(	(	PUNCT
ejpam-1170	219	9	2011	2011	NUM
ejpam-1170	219	10	)	)	PUNCT
ejpam-1170	219	11	,	,	PUNCT
ejpam-1170	219	12	89	89	NUM
ejpam-1170	219	13	-	-	SYM
ejpam-1170	219	14	102	102	NUM
ejpam-1170	219	15	99	99	NUM
ejpam-1170	219	16	examples	example	NOUN
ejpam-1170	219	17	of	of	ADP
ejpam-1170	219	18	systems	system	NOUN
ejpam-1170	219	19	with	with	ADP
ejpam-1170	219	20	components	component	NOUN
ejpam-1170	219	21	in	in	ADP
ejpam-1170	219	22	parallel	parallel	NOUN
ejpam-1170	219	23	include	include	VERB
ejpam-1170	219	24	automobile	automobile	NOUN
ejpam-1170	219	25	headlights	headlight	NOUN
ejpam-1170	219	26	,	,	PUNCT
ejpam-1170	219	27	raid	raid	NOUN
ejpam-1170	219	28	computer	computer	NOUN
ejpam-1170	219	29	disk	disk	NOUN
ejpam-1170	219	30	array	array	NOUN
ejpam-1170	219	31	system	system	NOUN
ejpam-1170	219	32	,	,	PUNCT
ejpam-1170	219	33	stairwells	stairwell	NOUN
ejpam-1170	219	34	with	with	ADP
ejpam-1170	219	35	emergency	emergency	NOUN
ejpam-1170	219	36	lightings	lighting	NOUN
ejpam-1170	219	37	,	,	PUNCT
ejpam-1170	219	38	overhead	overhead	ADJ
ejpam-1170	219	39	projectors	projector	NOUN
ejpam-1170	219	40	with	with	ADP
ejpam-1170	219	41	backup	backup	ADJ
ejpam-1170	219	42	bulbs	bulb	NOUN
ejpam-1170	219	43	etc	etc	X
ejpam-1170	219	44	.	.	X
ejpam-1170	220	1	it	it	PRON
ejpam-1170	220	2	has	have	AUX
ejpam-1170	220	3	been	be	AUX
ejpam-1170	220	4	observed	observe	VERB
ejpam-1170	220	5	that	that	SCONJ
ejpam-1170	220	6	a	a	DET
ejpam-1170	220	7	transmuted	transmuted	ADJ
ejpam-1170	220	8	weibull	weibull	NOUN
ejpam-1170	220	9	distribution	distribution	NOUN
ejpam-1170	220	10	with	with	ADP
ejpam-1170	220	11	λ	λ	NOUN
ejpam-1170	220	12	=	=	SYM
ejpam-1170	220	13	1	1	NUM
ejpam-1170	220	14	is	be	AUX
ejpam-1170	220	15	the	the	DET
ejpam-1170	220	16	distribution	distribution	NOUN
ejpam-1170	220	17	of	of	ADP
ejpam-1170	220	18	min(x1	min(x1	PROPN
ejpam-1170	220	19	,	,	PUNCT
ejpam-1170	220	20	x2	x2	PROPN
ejpam-1170	220	21	)	)	PUNCT
ejpam-1170	220	22	and	and	CCONJ
ejpam-1170	220	23	a	a	DET
ejpam-1170	220	24	transmuted	transmuted	ADJ
ejpam-1170	220	25	weibull	weibull	NOUN
ejpam-1170	220	26	distribution	distribution	NOUN
ejpam-1170	220	27	with	with	ADP
ejpam-1170	220	28	λ	λ	NOUN
ejpam-1170	220	29	=	=	PRON
ejpam-1170	220	30	−1	−1	NOUN
ejpam-1170	220	31	is	be	AUX
ejpam-1170	220	32	the	the	DET
ejpam-1170	220	33	distribution	distribution	NOUN
ejpam-1170	220	34	of	of	ADP
ejpam-1170	220	35	the	the	DET
ejpam-1170	220	36	max(x1	max(x1	PROPN
ejpam-1170	220	37	,	,	PUNCT
ejpam-1170	220	38	x2	x2	PROPN
ejpam-1170	220	39	)	)	PUNCT
ejpam-1170	220	40	where	where	SCONJ
ejpam-1170	220	41	x1	x1	PROPN
ejpam-1170	220	42	and	and	CCONJ
ejpam-1170	220	43	x2	x2	PROPN
ejpam-1170	220	44	are	be	AUX
ejpam-1170	220	45	independent	independent	ADJ
ejpam-1170	220	46	and	and	CCONJ
ejpam-1170	220	47	identically	identically	ADV
ejpam-1170	220	48	distributed	distribute	VERB
ejpam-1170	220	49	2	2	NUM
ejpam-1170	220	50	-	-	PUNCT
ejpam-1170	220	51	parameter	parameter	NOUN
ejpam-1170	220	52	weibull	weibull	PROPN
ejpam-1170	220	53	random	random	ADJ
ejpam-1170	220	54	variables	variable	NOUN
ejpam-1170	220	55	.	.	PUNCT
ejpam-1170	221	1	now	now	ADV
ejpam-1170	221	2	we	we	PRON
ejpam-1170	221	3	provide	provide	VERB
ejpam-1170	221	4	the	the	DET
ejpam-1170	221	5	distribution	distribution	NOUN
ejpam-1170	221	6	of	of	ADP
ejpam-1170	221	7	the	the	DET
ejpam-1170	221	8	order	order	NOUN
ejpam-1170	221	9	statistics	statistic	NOUN
ejpam-1170	221	10	for	for	ADP
ejpam-1170	221	11	transmuted	transmuted	ADJ
ejpam-1170	221	12	weibull	weibull	PROPN
ejpam-1170	221	13	random	random	ADJ
ejpam-1170	221	14	variable	variable	NOUN
ejpam-1170	221	15	.	.	PUNCT
ejpam-1170	222	1	the	the	DET
ejpam-1170	222	2	pdf	pdf	NOUN
ejpam-1170	222	3	of	of	ADP
ejpam-1170	222	4	the	the	DET
ejpam-1170	222	5	j	j	PROPN
ejpam-1170	222	6	th	th	X
ejpam-1170	222	7	order	order	NOUN
ejpam-1170	222	8	statistic	statistic	NOUN
ejpam-1170	222	9	for	for	ADP
ejpam-1170	222	10	transmuted	transmuted	ADJ
ejpam-1170	222	11	weibull	weibull	NOUN
ejpam-1170	222	12	distribution	distribution	NOUN
ejpam-1170	222	13	is	be	AUX
ejpam-1170	222	14	given	give	VERB
ejpam-1170	222	15	by	by	ADP
ejpam-1170	222	16	fx	fx	PROPN
ejpam-1170	222	17	(	(	PUNCT
ejpam-1170	222	18	j	j	NOUN
ejpam-1170	222	19	)	)	PUNCT
ejpam-1170	222	20	(	(	PUNCT
ejpam-1170	222	21	x	x	X
ejpam-1170	222	22	)	)	PUNCT
ejpam-1170	222	23	=	=	SYM
ejpam-1170	222	24	n	n	X
ejpam-1170	222	25	!	!	PUNCT
ejpam-1170	223	1	(	(	PUNCT
ejpam-1170	223	2	j−	j−	VERB
ejpam-1170	223	3	1)!(n−	1)!(n−	NUM
ejpam-1170	223	4	j	j	PROPN
ejpam-1170	223	5	)	)	PUNCT
ejpam-1170	223	6	!	!	PUNCT
ejpam-1170	224	1	η	η	PROPN
ejpam-1170	224	2	σ	σ	PROPN
ejpam-1170	224	3	y	y	PROPN
ejpam-1170	224	4	η−1	η−1	PROPN
ejpam-1170	224	5	η	η	PROPN
ejpam-1170	224	6	exp(−y	exp(−y	PROPN
ejpam-1170	224	7	)	)	PUNCT
ejpam-1170	224	8	�	�	PROPN
ejpam-1170	224	9	1−λ+	1−λ+	NUM
ejpam-1170	224	10	2λexp	2λexp	NUM
ejpam-1170	224	11	�	�	PROPN
ejpam-1170	224	12	−y	−y	PROPN
ejpam-1170	224	13	�	�	PROPN
ejpam-1170	224	14	�	�	PROPN
ejpam-1170	224	15	�	�	PROPN
ejpam-1170	224	16	1+λexp	1+λexp	PROPN
ejpam-1170	224	17	�	�	PROPN
ejpam-1170	224	18	−y	−y	PROPN
ejpam-1170	224	19	�	�	PROPN
ejpam-1170	224	20	�	�	PROPN
ejpam-1170	224	21	j−1	j−1	PROPN
ejpam-1170	224	22	×	×	PROPN
ejpam-1170	224	23	�	�	PROPN
ejpam-1170	224	24	1−	1−	NUM
ejpam-1170	224	25	exp	exp	NOUN
ejpam-1170	224	26	�	�	PROPN
ejpam-1170	224	27	−y	−y	PROPN
ejpam-1170	224	28	�	�	PROPN
ejpam-1170	224	29	�	�	PROPN
ejpam-1170	224	30	j−1	j−1	PROPN
ejpam-1170	224	31	exp	exp	NOUN
ejpam-1170	224	32	�	�	PROPN
ejpam-1170	224	33	−(n−	−(n−	ADJ
ejpam-1170	224	34	j)y	j)y	ADJ
ejpam-1170	224	35	�	�	PROPN
ejpam-1170	224	36	�	�	PROPN
ejpam-1170	224	37	1−λ+λexp	1−λ+λexp	NUM
ejpam-1170	224	38	�	�	PROPN
ejpam-1170	224	39	−y	−y	PROPN
ejpam-1170	224	40	�	�	PROPN
ejpam-1170	224	41	�	�	PROPN
ejpam-1170	224	42	n−	n−	PROPN
ejpam-1170	224	43	j	j	PROPN
ejpam-1170	224	44	,	,	PUNCT
ejpam-1170	224	45	where	where	SCONJ
ejpam-1170	224	46	,	,	PUNCT
ejpam-1170	224	47	y	y	PROPN
ejpam-1170	224	48	=	=	SYM
ejpam-1170	224	49	�	�	PROPN
ejpam-1170	224	50	x	x	PROPN
ejpam-1170	224	51	σ	σ	PROPN
ejpam-1170	224	52	�	�	PROPN
ejpam-1170	224	53	η	η	PROPN
ejpam-1170	224	54	therefore	therefore	ADV
ejpam-1170	224	55	,	,	PUNCT
ejpam-1170	224	56	the	the	DET
ejpam-1170	224	57	pdf	pdf	NOUN
ejpam-1170	224	58	of	of	ADP
ejpam-1170	224	59	the	the	DET
ejpam-1170	224	60	largest	large	ADJ
ejpam-1170	224	61	order	order	NOUN
ejpam-1170	224	62	statistic	statistic	ADJ
ejpam-1170	224	63	x(n	x(n	NOUN
ejpam-1170	224	64	)	)	PUNCT
ejpam-1170	224	65	is	be	AUX
ejpam-1170	224	66	given	give	VERB
ejpam-1170	224	67	by	by	ADP
ejpam-1170	224	68	fx(n	fx(n	NOUN
ejpam-1170	224	69	)	)	PUNCT
ejpam-1170	224	70	(	(	PUNCT
ejpam-1170	224	71	x	x	X
ejpam-1170	224	72	)	)	PUNCT
ejpam-1170	224	73	=	=	SYM
ejpam-1170	224	74	nη	nη	PROPN
ejpam-1170	224	75	σ	σ	PROPN
ejpam-1170	224	76	�	�	PROPN
ejpam-1170	224	77	x	x	PROPN
ejpam-1170	224	78	σ	σ	PROPN
ejpam-1170	224	79	�	�	PROPN
ejpam-1170	224	80	η−1	η−1	PROPN
ejpam-1170	224	81	exp	exp	NOUN
ejpam-1170	224	82	�	�	PROPN
ejpam-1170	224	83	−	−	PROPN
ejpam-1170	224	84	�	�	PROPN
ejpam-1170	224	85	x	x	PROPN
ejpam-1170	224	86	σ	σ	PROPN
ejpam-1170	224	87	�	�	PROPN
ejpam-1170	224	88	η	η	PROPN
ejpam-1170	224	89	�	�	PROPN
ejpam-1170	224	90	�	�	PROPN
ejpam-1170	224	91	1−λ+	1−λ+	NUM
ejpam-1170	224	92	2λexp	2λexp	NUM
ejpam-1170	224	93	�	�	PROPN
ejpam-1170	224	94	−	−	PROPN
ejpam-1170	224	95	�	�	PROPN
ejpam-1170	224	96	x	x	PROPN
ejpam-1170	224	97	σ	σ	PROPN
ejpam-1170	224	98	�	�	PROPN
ejpam-1170	224	99	η	η	PROPN
ejpam-1170	224	100	�	�	PROPN
ejpam-1170	224	101	�	�	PROPN
ejpam-1170	224	102	×	×	PROPN
ejpam-1170	224	103	�	�	PROPN
ejpam-1170	224	104	1+λexp	1+λexp	PROPN
ejpam-1170	224	105	�	�	PROPN
ejpam-1170	224	106	−	−	PROPN
ejpam-1170	224	107	�	�	PROPN
ejpam-1170	224	108	x	x	PROPN
ejpam-1170	224	109	σ	σ	PROPN
ejpam-1170	224	110	�	�	PROPN
ejpam-1170	224	111	η	η	PROPN
ejpam-1170	224	112	�	�	PROPN
ejpam-1170	224	113	�	�	PROPN
ejpam-1170	224	114	n−1	n−1	PROPN
ejpam-1170	224	115	�	�	PROPN
ejpam-1170	224	116	1−	1−	NUM
ejpam-1170	224	117	exp	exp	NOUN
ejpam-1170	224	118	�	�	PROPN
ejpam-1170	224	119	−	−	PROPN
ejpam-1170	224	120	�	�	PROPN
ejpam-1170	224	121	x	x	PROPN
ejpam-1170	224	122	σ	σ	PROPN
ejpam-1170	224	123	�	�	PROPN
ejpam-1170	224	124	η	η	PROPN
ejpam-1170	224	125	�	�	PROPN
ejpam-1170	224	126	�	�	PROPN
ejpam-1170	224	127	n−1	n−1	PROPN
ejpam-1170	224	128	and	and	CCONJ
ejpam-1170	224	129	the	the	DET
ejpam-1170	224	130	pdf	pdf	NOUN
ejpam-1170	224	131	of	of	ADP
ejpam-1170	224	132	the	the	DET
ejpam-1170	224	133	smallest	small	ADJ
ejpam-1170	224	134	order	order	NOUN
ejpam-1170	224	135	statistic	statistic	NOUN
ejpam-1170	224	136	x(1	x(1	PROPN
ejpam-1170	224	137	)	)	PUNCT
ejpam-1170	224	138	is	be	AUX
ejpam-1170	224	139	given	give	VERB
ejpam-1170	224	140	by	by	ADP
ejpam-1170	224	141	fx(1	fx(1	PROPN
ejpam-1170	224	142	)	)	PUNCT
ejpam-1170	224	143	(	(	PUNCT
ejpam-1170	224	144	x	x	X
ejpam-1170	224	145	)	)	PUNCT
ejpam-1170	224	146	=	=	SYM
ejpam-1170	224	147	nη	nη	PROPN
ejpam-1170	224	148	σ	σ	PROPN
ejpam-1170	224	149	�	�	PROPN
ejpam-1170	224	150	x	x	PROPN
ejpam-1170	224	151	σ	σ	PROPN
ejpam-1170	224	152	�	�	PROPN
ejpam-1170	224	153	η−1	η−1	PROPN
ejpam-1170	224	154	exp	exp	NOUN
ejpam-1170	224	155	�	�	PROPN
ejpam-1170	224	156	−	−	PROPN
ejpam-1170	224	157	�	�	PROPN
ejpam-1170	224	158	x	x	PROPN
ejpam-1170	224	159	σ	σ	PROPN
ejpam-1170	224	160	�	�	PROPN
ejpam-1170	224	161	η	η	PROPN
ejpam-1170	224	162	�	�	PROPN
ejpam-1170	224	163	�	�	PROPN
ejpam-1170	224	164	1−λ+	1−λ+	NUM
ejpam-1170	224	165	2λexp	2λexp	NUM
ejpam-1170	224	166	�	�	PROPN
ejpam-1170	224	167	−	−	PROPN
ejpam-1170	224	168	�	�	PROPN
ejpam-1170	224	169	x	x	PROPN
ejpam-1170	224	170	σ	σ	PROPN
ejpam-1170	224	171	�	�	PROPN
ejpam-1170	224	172	η	η	PROPN
ejpam-1170	224	173	�	�	PROPN
ejpam-1170	224	174	�	�	PROPN
ejpam-1170	224	175	×	×	PROPN
ejpam-1170	224	176	�	�	PROPN
ejpam-1170	224	177	exp	exp	NOUN
ejpam-1170	224	178	�	�	PROPN
ejpam-1170	224	179	−	−	PROPN
ejpam-1170	224	180	�	�	PROPN
ejpam-1170	224	181	x	x	PROPN
ejpam-1170	224	182	σ	σ	PROPN
ejpam-1170	224	183	�	�	PROPN
ejpam-1170	224	184	η	η	PROPN
ejpam-1170	224	185	�	�	PROPN
ejpam-1170	224	186	§	§	ADJ
ejpam-1170	224	187	1−λ+λexp	1−λ+λexp	NUM
ejpam-1170	224	188	�	�	PROPN
ejpam-1170	224	189	−	−	PROPN
ejpam-1170	224	190	�	�	PROPN
ejpam-1170	224	191	x	x	PROPN
ejpam-1170	224	192	σ	σ	PROPN
ejpam-1170	224	193	�	�	PROPN
ejpam-1170	224	194	�	�	PROPN
ejpam-1170	224	195	ª	ª	NOUN
ejpam-1170	224	196	�	�	PROPN
ejpam-1170	224	197	n−1	n−1	PROPN
ejpam-1170	224	198	.	.	PUNCT
ejpam-1170	225	1	note	note	VERB
ejpam-1170	225	2	that	that	SCONJ
ejpam-1170	225	3	λ=	λ=	VERB
ejpam-1170	225	4	0	0	NUM
ejpam-1170	225	5	yields	yield	NOUN
ejpam-1170	225	6	the	the	DET
ejpam-1170	225	7	order	order	NOUN
ejpam-1170	225	8	statistics	statistic	NOUN
ejpam-1170	225	9	of	of	ADP
ejpam-1170	225	10	the	the	DET
ejpam-1170	225	11	two	two	NUM
ejpam-1170	225	12	parameter	parameter	NOUN
ejpam-1170	225	13	weibull	weibull	NOUN
ejpam-1170	225	14	distribution	distribution	NOUN
ejpam-1170	225	15	.	.	PUNCT
ejpam-1170	226	1	6	6	X
ejpam-1170	226	2	.	.	X
ejpam-1170	226	3	applications	application	NOUN
ejpam-1170	226	4	of	of	ADP
ejpam-1170	226	5	transmuted	transmuted	ADJ
ejpam-1170	226	6	weibull	weibull	NOUN
ejpam-1170	226	7	distribution	distribution	NOUN
ejpam-1170	226	8	in	in	ADP
ejpam-1170	226	9	this	this	DET
ejpam-1170	226	10	section	section	NOUN
ejpam-1170	226	11	we	we	PRON
ejpam-1170	226	12	will	will	AUX
ejpam-1170	226	13	study	study	VERB
ejpam-1170	226	14	two	two	NUM
ejpam-1170	226	15	real	real	ADJ
ejpam-1170	226	16	data	datum	NOUN
ejpam-1170	226	17	sets	set	NOUN
ejpam-1170	226	18	to	to	PART
ejpam-1170	226	19	illustrate	illustrate	VERB
ejpam-1170	226	20	the	the	DET
ejpam-1170	226	21	usefulness	usefulness	NOUN
ejpam-1170	226	22	of	of	ADP
ejpam-1170	226	23	the	the	DET
ejpam-1170	226	24	transmuted	transmuted	ADJ
ejpam-1170	226	25	weibull	weibull	NOUN
ejpam-1170	226	26	distribution	distribution	NOUN
ejpam-1170	226	27	for	for	ADP
ejpam-1170	226	28	modeling	model	VERB
ejpam-1170	226	29	reliability	reliability	NOUN
ejpam-1170	226	30	data	datum	NOUN
ejpam-1170	226	31	.	.	PUNCT
ejpam-1170	227	1	we	we	PRON
ejpam-1170	227	2	will	will	AUX
ejpam-1170	227	3	make	make	VERB
ejpam-1170	227	4	comparison	comparison	NOUN
ejpam-1170	227	5	of	of	ADP
ejpam-1170	227	6	the	the	DET
ejpam-1170	227	7	results	result	NOUN
ejpam-1170	227	8	with	with	ADP
ejpam-1170	227	9	the	the	DET
ejpam-1170	227	10	exponentiated	exponentiated	ADJ
ejpam-1170	227	11	weibull	weibull	NOUN
ejpam-1170	227	12	distribution	distribution	NOUN
ejpam-1170	227	13	whose	whose	DET
ejpam-1170	227	14	cdf	cdf	PROPN
ejpam-1170	227	15	is	be	AUX
ejpam-1170	227	16	given	give	VERB
ejpam-1170	227	17	by	by	ADP
ejpam-1170	227	18	f(x	f(x	PROPN
ejpam-1170	227	19	)	)	PUNCT
ejpam-1170	228	1	=	=	SYM
ejpam-1170	228	2	�	�	PROPN
ejpam-1170	228	3	1−	1−	NUM
ejpam-1170	228	4	exp	exp	NOUN
ejpam-1170	228	5	�	�	PROPN
ejpam-1170	228	6	−	−	PROPN
ejpam-1170	228	7	�	�	PROPN
ejpam-1170	228	8	x	x	PROPN
ejpam-1170	228	9	σ	σ	PROPN
ejpam-1170	228	10	�	�	PROPN
ejpam-1170	228	11	γ	γ	PROPN
ejpam-1170	228	12	�	�	PROPN
ejpam-1170	228	13	�	�	PROPN
ejpam-1170	228	14	α	α	NOUN
ejpam-1170	228	15	,	,	PUNCT
ejpam-1170	228	16	x	x	PROPN
ejpam-1170	228	17	>	>	X
ejpam-1170	228	18	0,α	0,α	PROPN
ejpam-1170	228	19	,	,	PUNCT
ejpam-1170	228	20	σ	σ	PROPN
ejpam-1170	228	21	,	,	PUNCT
ejpam-1170	228	22	γ	γ	X
ejpam-1170	228	23	>	>	X
ejpam-1170	228	24	0	0	PUNCT
ejpam-1170	228	25	(	(	PUNCT
ejpam-1170	228	26	17	17	NUM
ejpam-1170	228	27	)	)	PUNCT
ejpam-1170	228	28	note	note	NOUN
ejpam-1170	228	29	that	that	SCONJ
ejpam-1170	228	30	weibull	weibull	PROPN
ejpam-1170	228	31	distribution	distribution	NOUN
ejpam-1170	228	32	is	be	AUX
ejpam-1170	228	33	a	a	DET
ejpam-1170	228	34	submodel	submodel	NOUN
ejpam-1170	228	35	of	of	ADP
ejpam-1170	228	36	both	both	CCONJ
ejpam-1170	228	37	the	the	DET
ejpam-1170	228	38	transmuted	transmuted	ADJ
ejpam-1170	228	39	weibull	weibull	NOUN
ejpam-1170	228	40	and	and	CCONJ
ejpam-1170	228	41	exponentiated	exponentiate	VERB
ejpam-1170	228	42	weibull	weibull	NOUN
ejpam-1170	228	43	distribution	distribution	NOUN
ejpam-1170	228	44	.	.	PUNCT
ejpam-1170	229	1	our	our	PRON
ejpam-1170	229	2	first	first	ADJ
ejpam-1170	229	3	data	datum	NOUN
ejpam-1170	229	4	set	set	VERB
ejpam-1170	229	5	is	be	AUX
ejpam-1170	229	6	about	about	ADP
ejpam-1170	229	7	testing	test	VERB
ejpam-1170	229	8	the	the	DET
ejpam-1170	229	9	tensile	tensile	NOUN
ejpam-1170	229	10	fatigue	fatigue	NOUN
ejpam-1170	229	11	characteristics	characteristic	NOUN
ejpam-1170	229	12	of	of	ADP
ejpam-1170	229	13	a	a	DET
ejpam-1170	229	14	polyster	polyster	NOUN
ejpam-1170	229	15	/	/	SYM
ejpam-1170	229	16	viscose	viscose	NOUN
ejpam-1170	229	17	yarn	yarn	NOUN
ejpam-1170	229	18	to	to	PART
ejpam-1170	229	19	study	study	VERB
ejpam-1170	229	20	the	the	DET
ejpam-1170	229	21	problem	problem	NOUN
ejpam-1170	229	22	of	of	ADP
ejpam-1170	229	23	warp	warp	ADJ
ejpam-1170	229	24	breakage	breakage	NOUN
ejpam-1170	229	25	during	during	ADP
ejpam-1170	229	26	weaving	weaving	NOUN
ejpam-1170	229	27	.	.	PUNCT
ejpam-1170	230	1	the	the	DET
ejpam-1170	230	2	study	study	NOUN
ejpam-1170	230	3	g.	g.	PROPN
ejpam-1170	230	4	aryal	aryal	PROPN
ejpam-1170	230	5	,	,	PUNCT
ejpam-1170	230	6	c.	c.	PROPN
ejpam-1170	230	7	tsokos	tsokos	PROPN
ejpam-1170	230	8	/	/	SYM
ejpam-1170	230	9	eur	eur	PROPN
ejpam-1170	230	10	.	.	PUNCT
ejpam-1170	231	1	j.	j.	PROPN
ejpam-1170	231	2	pure	pure	PROPN
ejpam-1170	231	3	appl	appl	PROPN
ejpam-1170	231	4	.	.	PROPN
ejpam-1170	231	5	math	math	PROPN
ejpam-1170	231	6	,	,	PUNCT
ejpam-1170	231	7	4	4	NUM
ejpam-1170	231	8	(	(	PUNCT
ejpam-1170	231	9	2011	2011	NUM
ejpam-1170	231	10	)	)	PUNCT
ejpam-1170	231	11	,	,	PUNCT
ejpam-1170	231	12	89	89	NUM
ejpam-1170	231	13	-	-	SYM
ejpam-1170	231	14	102	102	NUM
ejpam-1170	231	15	100	100	NUM
ejpam-1170	231	16	consists	consist	NOUN
ejpam-1170	231	17	of	of	ADP
ejpam-1170	231	18	100	100	NUM
ejpam-1170	231	19	centimeter	centimeter	NOUN
ejpam-1170	231	20	yarn	yarn	NOUN
ejpam-1170	231	21	sample	sample	NOUN
ejpam-1170	231	22	at	at	ADP
ejpam-1170	231	23	2.3	2.3	NUM
ejpam-1170	231	24	percent	percent	NOUN
ejpam-1170	231	25	strain	strain	NOUN
ejpam-1170	231	26	level	level	NOUN
ejpam-1170	231	27	.	.	PUNCT
ejpam-1170	232	1	this	this	DET
ejpam-1170	232	2	data	datum	NOUN
ejpam-1170	232	3	was	be	AUX
ejpam-1170	232	4	studied	study	VERB
ejpam-1170	232	5	by	by	ADP
ejpam-1170	232	6	quesenberry	quesenberry	NOUN
ejpam-1170	232	7	et	et	PROPN
ejpam-1170	232	8	al	al	PROPN
ejpam-1170	232	9	.	.	PUNCT
ejpam-1170	233	1	[	[	X
ejpam-1170	233	2	8	8	NUM
ejpam-1170	233	3	]	]	PUNCT
ejpam-1170	233	4	.	.	PUNCT
ejpam-1170	234	1	the	the	DET
ejpam-1170	234	2	weibull	weibull	PROPN
ejpam-1170	234	3	distribution	distribution	NOUN
ejpam-1170	234	4	(	(	PUNCT
ejpam-1170	234	5	2	2	X
ejpam-1170	234	6	)	)	PUNCT
ejpam-1170	234	7	is	be	AUX
ejpam-1170	234	8	fitted	fit	VERB
ejpam-1170	234	9	to	to	ADP
ejpam-1170	234	10	the	the	DET
ejpam-1170	234	11	subject	subject	ADJ
ejpam-1170	234	12	data	datum	NOUN
ejpam-1170	234	13	and	and	CCONJ
ejpam-1170	234	14	the	the	DET
ejpam-1170	234	15	parameter	parameter	NOUN
ejpam-1170	234	16	estimates	estimate	NOUN
ejpam-1170	234	17	computed	compute	VERB
ejpam-1170	234	18	are	be	AUX
ejpam-1170	234	19	given	give	VERB
ejpam-1170	234	20	in	in	ADP
ejpam-1170	234	21	the	the	DET
ejpam-1170	234	22	table	table	NOUN
ejpam-1170	234	23	below	below	ADV
ejpam-1170	234	24	.	.	PUNCT
ejpam-1170	235	1	we	we	PRON
ejpam-1170	235	2	fitted	fit	VERB
ejpam-1170	235	3	both	both	CCONJ
ejpam-1170	235	4	the	the	DET
ejpam-1170	235	5	exponentiated	exponentiated	ADJ
ejpam-1170	235	6	weibull	weibull	NOUN
ejpam-1170	235	7	and	and	CCONJ
ejpam-1170	235	8	transmuted	transmute	VERB
ejpam-1170	235	9	weibull	weibull	NOUN
ejpam-1170	235	10	distribution	distribution	NOUN
ejpam-1170	235	11	to	to	ADP
ejpam-1170	235	12	the	the	DET
ejpam-1170	235	13	subject	subject	ADJ
ejpam-1170	235	14	data	datum	NOUN
ejpam-1170	235	15	.	.	PUNCT
ejpam-1170	236	1	the	the	DET
ejpam-1170	236	2	mles	mle	NOUN
ejpam-1170	236	3	and	and	CCONJ
ejpam-1170	236	4	the	the	DET
ejpam-1170	236	5	values	value	NOUN
ejpam-1170	236	6	of	of	ADP
ejpam-1170	236	7	maximized	maximize	VERB
ejpam-1170	236	8	log	log	NOUN
ejpam-1170	236	9	-	-	PUNCT
ejpam-1170	236	10	likelihoods	likelihood	NOUN
ejpam-1170	236	11	for	for	ADP
ejpam-1170	236	12	weibull	weibull	NOUN
ejpam-1170	236	13	,	,	PUNCT
ejpam-1170	236	14	exponentiated	exponentiate	VERB
ejpam-1170	236	15	weibull	weibull	NOUN
ejpam-1170	236	16	and	and	CCONJ
ejpam-1170	236	17	transmuted	transmute	VERB
ejpam-1170	236	18	weibull	weibull	NOUN
ejpam-1170	236	19	distribution	distribution	NOUN
ejpam-1170	236	20	are	be	AUX
ejpam-1170	236	21	given	give	VERB
ejpam-1170	236	22	in	in	ADP
ejpam-1170	236	23	the	the	DET
ejpam-1170	236	24	table	table	NOUN
ejpam-1170	236	25	below	below	ADV
ejpam-1170	236	26	.	.	PUNCT
ejpam-1170	237	1	one	one	PRON
ejpam-1170	237	2	can	can	AUX
ejpam-1170	237	3	use	use	VERB
ejpam-1170	237	4	the	the	DET
ejpam-1170	237	5	likelihood	likelihood	NOUN
ejpam-1170	237	6	ratio	ratio	NOUN
ejpam-1170	237	7	test	test	NOUN
ejpam-1170	237	8	to	to	PART
ejpam-1170	237	9	show	show	VERB
ejpam-1170	237	10	that	that	SCONJ
ejpam-1170	237	11	thetable	thetable	ADJ
ejpam-1170	237	12	1	1	NUM
ejpam-1170	237	13	:	:	PUNCT
ejpam-1170	237	14	estimated	estimate	VERB
ejpam-1170	237	15	parameters	parameter	NOUN
ejpam-1170	237	16	of	of	ADP
ejpam-1170	237	17	weibull	weibull	PROPN
ejpam-1170	237	18	,	,	PUNCT
ejpam-1170	237	19	exponentiated	exponentiate	VERB
ejpam-1170	237	20	weibull	weibull	NOUN
ejpam-1170	237	21	and	and	CCONJ
ejpam-1170	237	22	transmuted	transmute	VERB
ejpam-1170	237	23	weibull	weibull	PROPN
ejpam-1170	237	24	distributions	distribution	NOUN
ejpam-1170	237	25	distribution	distribution	NOUN
ejpam-1170	237	26	parameter	parameter	NOUN
ejpam-1170	237	27	estimates	estimate	VERB
ejpam-1170	237	28	log	log	NOUN
ejpam-1170	237	29	-	-	PUNCT
ejpam-1170	237	30	likelihood	likelihood	NOUN
ejpam-1170	237	31	weibull	weibull	NOUN
ejpam-1170	237	32	η̂	η̂	PROPN
ejpam-1170	237	33	=	=	SYM
ejpam-1170	237	34	1.60	1.60	NUM
ejpam-1170	237	35	,	,	PUNCT
ejpam-1170	237	36	σ̂	σ̂	X
ejpam-1170	237	37	=	=	SYM
ejpam-1170	237	38	247.9	247.9	NUM
ejpam-1170	237	39	-627.0500	-627.0500	NUM
ejpam-1170	237	40	exp.weibull	exp.weibull	NOUN
ejpam-1170	237	41	α̂=	α̂=	NOUN
ejpam-1170	237	42	1.000001588	1.000001588	NUM
ejpam-1170	237	43	,	,	PUNCT
ejpam-1170	237	44	σ̂=	σ̂=	PROPN
ejpam-1170	237	45	243.541641	243.541641	NUM
ejpam-1170	237	46	,	,	PUNCT
ejpam-1170	237	47	γ̂=	γ̂=	VERB
ejpam-1170	237	48	1.500001745	1.500001745	NUM
ejpam-1170	237	49	-625.5765	-625.5765	NUM
ejpam-1170	237	50	tran	tran	PROPN
ejpam-1170	237	51	.	.	PUNCT
ejpam-1170	238	1	weibull	weibull	PROPN
ejpam-1170	238	2	η̂	η̂	PROPN
ejpam-1170	238	3	=	=	SYM
ejpam-1170	238	4	1.7187616	1.7187616	NUM
ejpam-1170	238	5	,	,	PUNCT
ejpam-1170	238	6	σ̂=	σ̂=	PROPN
ejpam-1170	238	7	330.2877498	330.2877498	NUM
ejpam-1170	238	8	,	,	PUNCT
ejpam-1170	238	9	λ̂=	λ̂=	NOUN
ejpam-1170	238	10	0.7502233	0.7502233	NUM
ejpam-1170	238	11	-624.5224	-624.5224	NUM
ejpam-1170	238	12	transmuted	transmuted	ADJ
ejpam-1170	238	13	weibull	weibull	NOUN
ejpam-1170	238	14	distribution	distribution	NOUN
ejpam-1170	238	15	fits	fit	VERB
ejpam-1170	238	16	the	the	DET
ejpam-1170	238	17	subject	subject	ADJ
ejpam-1170	238	18	data	datum	NOUN
ejpam-1170	238	19	better	well	ADV
ejpam-1170	238	20	than	than	ADP
ejpam-1170	238	21	the	the	DET
ejpam-1170	238	22	2	2	NUM
ejpam-1170	238	23	-	-	PUNCT
ejpam-1170	238	24	parameter	parameter	NOUN
ejpam-1170	238	25	weibull	weibull	NOUN
ejpam-1170	238	26	and	and	CCONJ
ejpam-1170	238	27	exponentiated	exponentiate	VERB
ejpam-1170	238	28	weibull	weibull	NOUN
ejpam-1170	238	29	distribution	distribution	NOUN
ejpam-1170	238	30	.	.	PUNCT
ejpam-1170	239	1	furthermore	furthermore	ADV
ejpam-1170	239	2	,	,	PUNCT
ejpam-1170	239	3	the	the	DET
ejpam-1170	239	4	graphical	graphical	ADJ
ejpam-1170	239	5	comparison	comparison	NOUN
ejpam-1170	239	6	corresponding	correspond	VERB
ejpam-1170	239	7	to	to	ADP
ejpam-1170	239	8	these	these	DET
ejpam-1170	239	9	fits	fit	NOUN
ejpam-1170	239	10	to	to	PART
ejpam-1170	239	11	conform	conform	VERB
ejpam-1170	239	12	our	our	PRON
ejpam-1170	239	13	claim	claim	NOUN
ejpam-1170	239	14	is	be	AUX
ejpam-1170	239	15	illustrated	illustrate	VERB
ejpam-1170	239	16	in	in	ADP
ejpam-1170	239	17	figure	figure	NOUN
ejpam-1170	239	18	4	4	NUM
ejpam-1170	239	19	.	.	PUNCT
ejpam-1170	240	1	the	the	DET
ejpam-1170	240	2	second	second	ADJ
ejpam-1170	240	3	data	datum	NOUN
ejpam-1170	240	4	set	set	VERB
ejpam-1170	240	5	is	be	AUX
ejpam-1170	240	6	the	the	DET
ejpam-1170	240	7	breaking	breaking	NOUN
ejpam-1170	240	8	0	0	NUM
ejpam-1170	240	9	200	200	NUM
ejpam-1170	240	10	400	400	NUM
ejpam-1170	240	11	600	600	NUM
ejpam-1170	240	12	800	800	NUM
ejpam-1170	240	13	0	0	NUM
ejpam-1170	240	14	.	.	PUNCT
ejpam-1170	240	15	0	0	NUM
ejpam-1170	240	16	0	0	NUM
ejpam-1170	240	17	.	.	NOUN
ejpam-1170	240	18	2	2	NUM
ejpam-1170	240	19	0	0	NUM
ejpam-1170	240	20	.	.	NOUN
ejpam-1170	240	21	4	4	NUM
ejpam-1170	240	22	0	0	NUM
ejpam-1170	240	23	.	.	NOUN
ejpam-1170	241	1	6	6	NUM
ejpam-1170	241	2	0	0	NUM
ejpam-1170	241	3	.	.	NOUN
ejpam-1170	241	4	8	8	NUM
ejpam-1170	241	5	1	1	NUM
ejpam-1170	241	6	.	.	NOUN
ejpam-1170	241	7	0	0	NUM
ejpam-1170	242	1	x	x	SYM
ejpam-1170	242	2	f	f	X
ejpam-1170	242	3	(	(	PUNCT
ejpam-1170	242	4	x	x	SYM
ejpam-1170	242	5	)	)	PUNCT
ejpam-1170	242	6	0	0	NUM
ejpam-1170	242	7	200	200	NUM
ejpam-1170	242	8	400	400	NUM
ejpam-1170	242	9	600	600	NUM
ejpam-1170	242	10	800	800	NUM
ejpam-1170	242	11	0	0	NUM
ejpam-1170	242	12	.	.	PUNCT
ejpam-1170	242	13	0	0	NUM
ejpam-1170	242	14	0	0	NUM
ejpam-1170	242	15	.	.	NOUN
ejpam-1170	242	16	2	2	NUM
ejpam-1170	242	17	0	0	NUM
ejpam-1170	242	18	.	.	NOUN
ejpam-1170	242	19	4	4	NUM
ejpam-1170	242	20	0	0	NUM
ejpam-1170	242	21	.	.	NOUN
ejpam-1170	242	22	6	6	NUM
ejpam-1170	242	23	0	0	NUM
ejpam-1170	242	24	.	.	NOUN
ejpam-1170	242	25	8	8	NUM
ejpam-1170	242	26	1	1	NUM
ejpam-1170	242	27	.	.	NOUN
ejpam-1170	242	28	0	0	NUM
ejpam-1170	243	1	x	x	SYM
ejpam-1170	243	2	f	f	X
ejpam-1170	243	3	(	(	PUNCT
ejpam-1170	243	4	x	x	SYM
ejpam-1170	243	5	)	)	PUNCT
ejpam-1170	243	6	0	0	NUM
ejpam-1170	243	7	200	200	NUM
ejpam-1170	243	8	400	400	NUM
ejpam-1170	243	9	600	600	NUM
ejpam-1170	243	10	800	800	NUM
ejpam-1170	243	11	0	0	NUM
ejpam-1170	243	12	.	.	PUNCT
ejpam-1170	243	13	0	0	NUM
ejpam-1170	243	14	0	0	NUM
ejpam-1170	243	15	.	.	NOUN
ejpam-1170	243	16	2	2	NUM
ejpam-1170	243	17	0	0	NUM
ejpam-1170	243	18	.	.	NOUN
ejpam-1170	243	19	4	4	NUM
ejpam-1170	243	20	0	0	NUM
ejpam-1170	243	21	.	.	NOUN
ejpam-1170	243	22	6	6	NUM
ejpam-1170	243	23	0	0	NUM
ejpam-1170	243	24	.	.	NOUN
ejpam-1170	243	25	8	8	NUM
ejpam-1170	243	26	1	1	NUM
ejpam-1170	243	27	.	.	NOUN
ejpam-1170	243	28	0	0	NUM
ejpam-1170	244	1	x	x	SYM
ejpam-1170	244	2	f	f	X
ejpam-1170	244	3	(	(	PUNCT
ejpam-1170	244	4	x	x	SYM
ejpam-1170	244	5	)	)	PUNCT
ejpam-1170	244	6	0	0	NUM
ejpam-1170	244	7	200	200	NUM
ejpam-1170	244	8	400	400	NUM
ejpam-1170	244	9	600	600	NUM
ejpam-1170	244	10	800	800	NUM
ejpam-1170	244	11	0	0	NUM
ejpam-1170	244	12	.	.	PUNCT
ejpam-1170	244	13	0	0	NUM
ejpam-1170	244	14	0	0	NUM
ejpam-1170	244	15	.	.	NOUN
ejpam-1170	244	16	2	2	NUM
ejpam-1170	244	17	0	0	NUM
ejpam-1170	244	18	.	.	NOUN
ejpam-1170	244	19	4	4	NUM
ejpam-1170	244	20	0	0	NUM
ejpam-1170	244	21	.	.	NOUN
ejpam-1170	244	22	6	6	NUM
ejpam-1170	244	23	0	0	NUM
ejpam-1170	244	24	.	.	NOUN
ejpam-1170	244	25	8	8	NUM
ejpam-1170	244	26	1	1	NUM
ejpam-1170	244	27	.	.	NOUN
ejpam-1170	244	28	0	0	NUM
ejpam-1170	245	1	x	x	SYM
ejpam-1170	245	2	f	f	X
ejpam-1170	245	3	(	(	PUNCT
ejpam-1170	245	4	x	x	X
ejpam-1170	245	5	)	)	PUNCT
ejpam-1170	245	6	empirical	empirical	ADJ
ejpam-1170	245	7	transmuted_weibull	transmuted_weibull	PROPN
ejpam-1170	245	8	weibull	weibull	PROPN
ejpam-1170	245	9	exponentiated_weibull	exponentiated_weibull	ADJ
ejpam-1170	245	10	figure	figure	NOUN
ejpam-1170	245	11	4	4	NUM
ejpam-1170	245	12	:	:	PUNCT
ejpam-1170	245	13	empiri	empiri	PROPN
ejpam-1170	245	14	al	al	PROPN
ejpam-1170	245	15	,	,	PUNCT
ejpam-1170	245	16	fitted	fit	VERB
ejpam-1170	245	17	weibull	weibull	NOUN
ejpam-1170	245	18	,	,	PUNCT
ejpam-1170	245	19	exponentiated	exponentiate	VERB
ejpam-1170	245	20	weibull	weibull	NOUN
ejpam-1170	245	21	and	and	CCONJ
ejpam-1170	245	22	transmuted	transmute	VERB
ejpam-1170	245	23	weibull	weibull	PROPN
ejpam-1170	245	24	cdf	cdf	PROPN
ejpam-1170	245	25	of	of	ADP
ejpam-1170	245	26	warp	warp	ADJ
ejpam-1170	245	27	breakagedata	breakagedata	NOUN
ejpam-1170	245	28	stress	stress	NOUN
ejpam-1170	245	29	of	of	ADP
ejpam-1170	245	30	carbon	carbon	NOUN
ejpam-1170	245	31	fibers	fiber	NOUN
ejpam-1170	245	32	.	.	PUNCT
ejpam-1170	246	1	the	the	DET
ejpam-1170	246	2	data	datum	NOUN
ejpam-1170	246	3	set	set	NOUN
ejpam-1170	246	4	contains	contain	VERB
ejpam-1170	246	5	100	100	NUM
ejpam-1170	246	6	observations	observation	NOUN
ejpam-1170	246	7	on	on	ADP
ejpam-1170	246	8	breaking	break	VERB
ejpam-1170	246	9	stress	stress	NOUN
ejpam-1170	246	10	of	of	ADP
ejpam-1170	246	11	carbon	carbon	NOUN
ejpam-1170	246	12	fibers	fiber	NOUN
ejpam-1170	246	13	(	(	PUNCT
ejpam-1170	246	14	in	in	ADP
ejpam-1170	246	15	gba	gba	NOUN
ejpam-1170	246	16	)	)	PUNCT
ejpam-1170	246	17	studied	study	VERB
ejpam-1170	246	18	by	by	ADP
ejpam-1170	246	19	nichols	nichols	PROPN
ejpam-1170	246	20	and	and	CCONJ
ejpam-1170	246	21	padgett	padgett	PROPN
ejpam-1170	247	1	[	[	X
ejpam-1170	247	2	5	5	NUM
ejpam-1170	247	3	]	]	PUNCT
ejpam-1170	247	4	and	and	CCONJ
ejpam-1170	247	5	discussed	discuss	VERB
ejpam-1170	247	6	in	in	ADP
ejpam-1170	247	7	[	[	X
ejpam-1170	247	8	6	6	NUM
ejpam-1170	247	9	]	]	PUNCT
ejpam-1170	247	10	to	to	PART
ejpam-1170	247	11	show	show	VERB
ejpam-1170	247	12	the	the	DET
ejpam-1170	247	13	usefulness	usefulness	NOUN
ejpam-1170	247	14	of	of	ADP
ejpam-1170	247	15	exponentiated	exponentiated	ADJ
ejpam-1170	247	16	weibull	weibull	NOUN
ejpam-1170	247	17	distribution	distribution	NOUN
ejpam-1170	247	18	(	(	PUNCT
ejpam-1170	247	19	17	17	NUM
ejpam-1170	247	20	)	)	PUNCT
ejpam-1170	247	21	.	.	PUNCT
ejpam-1170	248	1	it	it	PRON
ejpam-1170	248	2	is	be	AUX
ejpam-1170	248	3	shown	show	VERB
ejpam-1170	248	4	(	(	PUNCT
ejpam-1170	248	5	in	in	ADP
ejpam-1170	248	6	[	[	X
ejpam-1170	248	7	6	6	NUM
ejpam-1170	248	8	]	]	PUNCT
ejpam-1170	248	9	)	)	PUNCT
ejpam-1170	248	10	that	that	SCONJ
ejpam-1170	248	11	the	the	DET
ejpam-1170	248	12	subject	subject	ADJ
ejpam-1170	248	13	data	data	NOUN
ejpam-1170	248	14	fits	fit	VERB
ejpam-1170	248	15	well	well	ADV
ejpam-1170	248	16	the	the	DET
ejpam-1170	248	17	exponentiated	exponentiated	ADJ
ejpam-1170	248	18	weibull	weibull	NOUN
ejpam-1170	248	19	distribution	distribution	NOUN
ejpam-1170	248	20	with	with	ADP
ejpam-1170	248	21	its	its	PRON
ejpam-1170	248	22	mles	mle	NOUN
ejpam-1170	248	23	and	and	CCONJ
ejpam-1170	248	24	the	the	DET
ejpam-1170	248	25	maximized	maximize	VERB
ejpam-1170	248	26	log	log	NOUN
ejpam-1170	248	27	-	-	PUNCT
ejpam-1170	248	28	likelihood	likelihood	NOUN
ejpam-1170	248	29	given	give	VERB
ejpam-1170	248	30	by	by	ADP
ejpam-1170	248	31	α̂=	α̂=	PROPN
ejpam-1170	248	32	1.17262	1.17262	NUM
ejpam-1170	248	33	,	,	PUNCT
ejpam-1170	248	34	σ̂=	σ̂=	PROPN
ejpam-1170	248	35	2.79673	2.79673	NUM
ejpam-1170	248	36	,	,	PUNCT
ejpam-1170	248	37	γ̂=	γ̂=	VERB
ejpam-1170	248	38	2.57902	2.57902	NUM
ejpam-1170	248	39	and	and	CCONJ
ejpam-1170	248	40	−l	−l	NOUN
ejpam-1170	248	41	=	=	PUNCT
ejpam-1170	248	42	141.369	141.369	NUM
ejpam-1170	248	43	a	a	DET
ejpam-1170	248	44	quasi	quasi	PROPN
ejpam-1170	248	45	newton	newton	PROPN
ejpam-1170	248	46	algorithm	algorithm	PROPN
ejpam-1170	248	47	was	be	AUX
ejpam-1170	248	48	implemented	implement	VERB
ejpam-1170	248	49	in	in	ADP
ejpam-1170	248	50	r[2	r[2	PROPN
ejpam-1170	248	51	]	]	PUNCT
ejpam-1170	248	52	in	in	ADP
ejpam-1170	248	53	order	order	NOUN
ejpam-1170	248	54	to	to	PART
ejpam-1170	248	55	solve	solve	VERB
ejpam-1170	248	56	the	the	DET
ejpam-1170	248	57	system	system	NOUN
ejpam-1170	248	58	of	of	ADP
ejpam-1170	248	59	normal	normal	ADJ
ejpam-1170	248	60	equations	equation	NOUN
ejpam-1170	248	61	inherent	inherent	ADJ
ejpam-1170	248	62	within	within	ADP
ejpam-1170	248	63	the	the	DET
ejpam-1170	248	64	transmuted	transmuted	ADJ
ejpam-1170	248	65	weibull	weibull	NOUN
ejpam-1170	248	66	distribution	distribution	NOUN
ejpam-1170	248	67	.	.	PUNCT
ejpam-1170	249	1	the	the	DET
ejpam-1170	249	2	parameter	parameter	NOUN
ejpam-1170	249	3	estimates	estimate	VERB
ejpam-1170	249	4	along	along	ADP
ejpam-1170	249	5	with	with	ADP
ejpam-1170	249	6	asymptotic	asymptotic	ADJ
ejpam-1170	249	7	95	95	NUM
ejpam-1170	249	8	%	%	NOUN
ejpam-1170	249	9	confidence	confidence	NOUN
ejpam-1170	249	10	interval	interval	NOUN
ejpam-1170	249	11	are	be	AUX
ejpam-1170	249	12	given	give	VERB
ejpam-1170	249	13	in	in	ADP
ejpam-1170	249	14	the	the	DET
ejpam-1170	249	15	table	table	NOUN
ejpam-1170	249	16	below	below	ADV
ejpam-1170	249	17	.	.	PUNCT
ejpam-1170	250	1	note	note	VERB
ejpam-1170	250	2	that	that	SCONJ
ejpam-1170	250	3	for	for	ADP
ejpam-1170	250	4	references	reference	NOUN
ejpam-1170	250	5	101table	101table	PROPN
ejpam-1170	250	6	2	2	NUM
ejpam-1170	250	7	:	:	PUNCT
ejpam-1170	250	8	estimated	estimate	VERB
ejpam-1170	250	9	parameters	parameter	NOUN
ejpam-1170	250	10	of	of	ADP
ejpam-1170	250	11	the	the	DET
ejpam-1170	250	12	transmuted	transmuted	ADJ
ejpam-1170	250	13	weibull	weibull	NOUN
ejpam-1170	250	14	distribution	distribution	NOUN
ejpam-1170	250	15	for	for	ADP
ejpam-1170	250	16	breaking	break	VERB
ejpam-1170	250	17	stress	stress	NOUN
ejpam-1170	250	18	data	datum	NOUN
ejpam-1170	250	19	95	95	NUM
ejpam-1170	250	20	%	%	NOUN
ejpam-1170	250	21	confidence	confidence	NOUN
ejpam-1170	250	22	interval	interval	NOUN
ejpam-1170	250	23	parameter	parameter	NOUN
ejpam-1170	250	24	ml	ml	AUX
ejpam-1170	250	25	estimate	estimate	VERB
ejpam-1170	250	26	standard	standard	ADJ
ejpam-1170	250	27	error	error	NOUN
ejpam-1170	250	28	lower	low	ADJ
ejpam-1170	250	29	upper	upper	ADJ
ejpam-1170	250	30	η	η	PROPN
ejpam-1170	250	31	2.993459	2.993459	NUM
ejpam-1170	250	32	0.2413740	0.2413740	NUM
ejpam-1170	250	33	2.520374	2.520374	NUM
ejpam-1170	250	34	3.466543	3.466543	NUM
ejpam-1170	250	35	σ	σ	NOUN
ejpam-1170	250	36	3.412541	3.412541	NUM
ejpam-1170	250	37	0.3379128	0.3379128	NUM
ejpam-1170	250	38	2.750244	2.750244	NUM
ejpam-1170	250	39	4.074838	4.074838	NUM
ejpam-1170	250	40	λ	λ	NOUN
ejpam-1170	250	41	0.6788985	0.6788985	NUM
ejpam-1170	250	42	0.3798750	0.3798750	NUM
ejpam-1170	250	43	-0.065643	-0.065643	ADP
ejpam-1170	250	44	1.423439∗	1.423439∗	NUM
ejpam-1170	250	45	the	the	DET
ejpam-1170	250	46	transmuted	transmuted	ADJ
ejpam-1170	250	47	weibull	weibull	NOUN
ejpam-1170	250	48	distribution	distribution	NOUN
ejpam-1170	250	49	−l	−l	NOUN
ejpam-1170	250	50	=	=	SYM
ejpam-1170	250	51	141.1349	141.1349	NUM
ejpam-1170	250	52	.	.	PUNCT
ejpam-1170	251	1	this	this	PRON
ejpam-1170	251	2	shows	show	VERB
ejpam-1170	251	3	that	that	SCONJ
ejpam-1170	251	4	the	the	DET
ejpam-1170	251	5	transmuted	transmuted	ADJ
ejpam-1170	251	6	weibull	weibull	NOUN
ejpam-1170	251	7	distribution	distribution	NOUN
ejpam-1170	251	8	fits	fit	VERB
ejpam-1170	251	9	equally	equally	ADV
ejpam-1170	251	10	well	well	ADV
ejpam-1170	251	11	the	the	DET
ejpam-1170	251	12	subject	subject	ADJ
ejpam-1170	251	13	data	datum	NOUN
ejpam-1170	251	14	.	.	PUNCT
ejpam-1170	252	1	moreover	moreover	ADV
ejpam-1170	252	2	,	,	PUNCT
ejpam-1170	252	3	we	we	PRON
ejpam-1170	252	4	can	can	AUX
ejpam-1170	252	5	perform	perform	VERB
ejpam-1170	252	6	the	the	DET
ejpam-1170	252	7	graphical	graphical	ADJ
ejpam-1170	252	8	comparison	comparison	NOUN
ejpam-1170	252	9	such	such	ADJ
ejpam-1170	252	10	as	as	ADP
ejpam-1170	252	11	probability	probability	NOUN
ejpam-1170	252	12	plots	plot	NOUN
ejpam-1170	252	13	(	(	PUNCT
ejpam-1170	252	14	not	not	PART
ejpam-1170	252	15	shown	show	VERB
ejpam-1170	252	16	here	here	ADV
ejpam-1170	252	17	)	)	PUNCT
ejpam-1170	252	18	corresponding	correspond	VERB
ejpam-1170	252	19	to	to	ADP
ejpam-1170	252	20	these	these	DET
ejpam-1170	252	21	fits	fit	NOUN
ejpam-1170	252	22	to	to	PART
ejpam-1170	252	23	conform	conform	VERB
ejpam-1170	252	24	our	our	PRON
ejpam-1170	252	25	claim	claim	NOUN
ejpam-1170	252	26	.	.	PUNCT
ejpam-1170	253	1	from	from	ADP
ejpam-1170	253	2	these	these	DET
ejpam-1170	253	3	examples	example	NOUN
ejpam-1170	253	4	it	it	PRON
ejpam-1170	253	5	can	can	AUX
ejpam-1170	253	6	be	be	AUX
ejpam-1170	253	7	observed	observe	VERB
ejpam-1170	253	8	that	that	SCONJ
ejpam-1170	253	9	transmuted	transmute	VERB
ejpam-1170	253	10	weibull	weibull	NOUN
ejpam-1170	253	11	distribution	distribution	NOUN
ejpam-1170	253	12	can	can	AUX
ejpam-1170	253	13	be	be	AUX
ejpam-1170	253	14	a	a	DET
ejpam-1170	253	15	good	good	ADJ
ejpam-1170	253	16	competitor	competitor	NOUN
ejpam-1170	253	17	of	of	ADP
ejpam-1170	253	18	other	other	ADJ
ejpam-1170	253	19	generalized	generalized	ADJ
ejpam-1170	253	20	weibull	weibull	NOUN
ejpam-1170	253	21	distributions	distribution	NOUN
ejpam-1170	253	22	to	to	PART
ejpam-1170	253	23	model	model	VERB
ejpam-1170	253	24	the	the	DET
ejpam-1170	253	25	reliability	reliability	NOUN
ejpam-1170	253	26	data	datum	NOUN
ejpam-1170	253	27	.	.	PUNCT
ejpam-1170	254	1	7	7	X
ejpam-1170	254	2	.	.	X
ejpam-1170	254	3	concluding	conclude	VERB
ejpam-1170	254	4	remarks	remark	NOUN
ejpam-1170	254	5	in	in	ADP
ejpam-1170	254	6	the	the	DET
ejpam-1170	254	7	present	present	ADJ
ejpam-1170	254	8	study	study	NOUN
ejpam-1170	254	9	,	,	PUNCT
ejpam-1170	254	10	we	we	PRON
ejpam-1170	254	11	have	have	AUX
ejpam-1170	254	12	introduced	introduce	VERB
ejpam-1170	254	13	a	a	DET
ejpam-1170	254	14	new	new	ADJ
ejpam-1170	254	15	generalization	generalization	NOUN
ejpam-1170	254	16	of	of	ADP
ejpam-1170	254	17	the	the	DET
ejpam-1170	254	18	weibull	weibull	PROPN
ejpam-1170	254	19	distribution	distribution	NOUN
ejpam-1170	254	20	called	call	VERB
ejpam-1170	254	21	the	the	DET
ejpam-1170	254	22	transmuted	transmuted	ADJ
ejpam-1170	254	23	weibull	weibull	NOUN
ejpam-1170	254	24	distribution	distribution	NOUN
ejpam-1170	254	25	.	.	PUNCT
ejpam-1170	255	1	the	the	DET
ejpam-1170	255	2	subject	subject	ADJ
ejpam-1170	255	3	distribution	distribution	NOUN
ejpam-1170	255	4	is	be	AUX
ejpam-1170	255	5	generated	generate	VERB
ejpam-1170	255	6	by	by	ADP
ejpam-1170	255	7	using	use	VERB
ejpam-1170	255	8	the	the	DET
ejpam-1170	255	9	quadratic	quadratic	ADJ
ejpam-1170	255	10	rank	rank	NOUN
ejpam-1170	255	11	transmutation	transmutation	NOUN
ejpam-1170	255	12	map	map	NOUN
ejpam-1170	255	13	and	and	CCONJ
ejpam-1170	255	14	taking	take	VERB
ejpam-1170	255	15	the	the	DET
ejpam-1170	255	16	2	2	NUM
ejpam-1170	255	17	-	-	PUNCT
ejpam-1170	255	18	parameter	parameter	NOUN
ejpam-1170	255	19	weibull	weibull	NOUN
ejpam-1170	255	20	distribution	distribution	NOUN
ejpam-1170	255	21	as	as	ADP
ejpam-1170	255	22	the	the	DET
ejpam-1170	255	23	base	base	NOUN
ejpam-1170	255	24	distribution	distribution	NOUN
ejpam-1170	255	25	.	.	PUNCT
ejpam-1170	256	1	some	some	DET
ejpam-1170	256	2	mathematical	mathematical	ADJ
ejpam-1170	256	3	properties	property	NOUN
ejpam-1170	256	4	along	along	ADP
ejpam-1170	256	5	with	with	ADP
ejpam-1170	256	6	estimation	estimation	NOUN
ejpam-1170	256	7	issues	issue	NOUN
ejpam-1170	256	8	are	be	AUX
ejpam-1170	256	9	addressed	address	VERB
ejpam-1170	256	10	.	.	PUNCT
ejpam-1170	257	1	the	the	DET
ejpam-1170	257	2	hazard	hazard	NOUN
ejpam-1170	257	3	rate	rate	NOUN
ejpam-1170	257	4	function	function	NOUN
ejpam-1170	257	5	and	and	CCONJ
ejpam-1170	257	6	reliability	reliability	NOUN
ejpam-1170	257	7	behavior	behavior	NOUN
ejpam-1170	257	8	of	of	ADP
ejpam-1170	257	9	the	the	DET
ejpam-1170	257	10	transmuted	transmuted	ADJ
ejpam-1170	257	11	weibull	weibull	NOUN
ejpam-1170	257	12	distribution	distribution	NOUN
ejpam-1170	257	13	shows	show	VERB
ejpam-1170	257	14	that	that	SCONJ
ejpam-1170	257	15	the	the	DET
ejpam-1170	257	16	subject	subject	ADJ
ejpam-1170	257	17	distribution	distribution	NOUN
ejpam-1170	257	18	can	can	AUX
ejpam-1170	257	19	be	be	AUX
ejpam-1170	257	20	used	use	VERB
ejpam-1170	257	21	to	to	PART
ejpam-1170	257	22	model	model	VERB
ejpam-1170	257	23	reliability	reliability	NOUN
ejpam-1170	257	24	data	datum	NOUN
ejpam-1170	257	25	.	.	PUNCT
ejpam-1170	258	1	we	we	PRON
ejpam-1170	258	2	have	have	AUX
ejpam-1170	258	3	studied	study	VERB
ejpam-1170	258	4	two	two	NUM
ejpam-1170	258	5	data	datum	NOUN
ejpam-1170	258	6	sets	set	NOUN
ejpam-1170	258	7	published	publish	VERB
ejpam-1170	258	8	in	in	ADP
ejpam-1170	258	9	the	the	DET
ejpam-1170	258	10	literature	literature	NOUN
ejpam-1170	258	11	to	to	PART
ejpam-1170	258	12	show	show	VERB
ejpam-1170	258	13	the	the	DET
ejpam-1170	258	14	usefulness	usefulness	NOUN
ejpam-1170	258	15	of	of	ADP
ejpam-1170	258	16	the	the	DET
ejpam-1170	258	17	transmuted	transmuted	ADJ
ejpam-1170	258	18	weibull	weibull	NOUN
ejpam-1170	258	19	distribution	distribution	NOUN
ejpam-1170	258	20	and	and	CCONJ
ejpam-1170	258	21	to	to	PART
ejpam-1170	258	22	make	make	VERB
ejpam-1170	258	23	comparison	comparison	NOUN
ejpam-1170	258	24	with	with	ADP
ejpam-1170	258	25	exponentiated	exponentiated	ADJ
ejpam-1170	258	26	weibull	weibull	NOUN
ejpam-1170	258	27	distribution	distribution	NOUN
ejpam-1170	258	28	.	.	PUNCT
ejpam-1170	259	1	we	we	PRON
ejpam-1170	259	2	expect	expect	VERB
ejpam-1170	259	3	that	that	SCONJ
ejpam-1170	259	4	this	this	DET
ejpam-1170	259	5	study	study	NOUN
ejpam-1170	259	6	will	will	AUX
ejpam-1170	259	7	serve	serve	VERB
ejpam-1170	259	8	as	as	ADP
ejpam-1170	259	9	a	a	DET
ejpam-1170	259	10	reference	reference	NOUN
ejpam-1170	259	11	and	and	CCONJ
ejpam-1170	259	12	help	help	NOUN
ejpam-1170	259	13	to	to	PART
ejpam-1170	259	14	advance	advance	VERB
ejpam-1170	259	15	future	future	ADJ
ejpam-1170	259	16	research	research	NOUN
ejpam-1170	259	17	in	in	ADP
ejpam-1170	259	18	this	this	DET
ejpam-1170	259	19	area	area	NOUN
ejpam-1170	259	20	.	.	PUNCT
ejpam-1170	260	1	references	reference	NOUN
ejpam-1170	260	2	[	[	X
ejpam-1170	260	3	1	1	NUM
ejpam-1170	260	4	]	]	PUNCT
ejpam-1170	260	5	gokarna	gokarna	PROPN
ejpam-1170	260	6	r.	r.	PROPN
ejpam-1170	260	7	aryal	aryal	PROPN
ejpam-1170	260	8	and	and	CCONJ
ejpam-1170	260	9	chris	chris	PROPN
ejpam-1170	260	10	p.	p.	PROPN
ejpam-1170	260	11	tsokos	tsokos	PROPN
ejpam-1170	260	12	.	.	PUNCT
ejpam-1170	261	1	on	on	ADP
ejpam-1170	261	2	the	the	DET
ejpam-1170	261	3	transmuted	transmuted	ADJ
ejpam-1170	261	4	extreme	extreme	ADJ
ejpam-1170	261	5	value	value	NOUN
ejpam-1170	261	6	distribution	distribution	NOUN
ejpam-1170	261	7	with	with	ADP
ejpam-1170	261	8	application	application	NOUN
ejpam-1170	261	9	.	.	PUNCT
ejpam-1170	262	1	nonlinear	nonlinear	ADJ
ejpam-1170	262	2	analysis	analysis	NOUN
ejpam-1170	262	3	:	:	PUNCT
ejpam-1170	262	4	theory	theory	NOUN
ejpam-1170	262	5	,	,	PUNCT
ejpam-1170	262	6	methods	method	NOUN
ejpam-1170	262	7	and	and	CCONJ
ejpam-1170	262	8	applications	application	NOUN
ejpam-1170	262	9	,	,	PUNCT
ejpam-1170	262	10	71:1401–1407	71:1401–1407	NOUN
ejpam-1170	262	11	,	,	PUNCT
ejpam-1170	262	12	2009	2009	NUM
ejpam-1170	262	13	.	.	PUNCT
ejpam-1170	263	1	[	[	X
ejpam-1170	263	2	2	2	NUM
ejpam-1170	263	3	]	]	X
ejpam-1170	263	4	r.	r.	NOUN
ejpam-1170	263	5	ihaka	ihaka	PROPN
ejpam-1170	263	6	and	and	CCONJ
ejpam-1170	263	7	r.	r.	PROPN
ejpam-1170	263	8	gentleman	gentleman	PROPN
ejpam-1170	263	9	.	.	PUNCT
ejpam-1170	264	1	r	r	X
ejpam-1170	264	2	:	:	PUNCT
ejpam-1170	264	3	a	a	DET
ejpam-1170	264	4	language	language	NOUN
ejpam-1170	264	5	for	for	ADP
ejpam-1170	264	6	data	data	NOUN
ejpam-1170	264	7	analysis	analysis	NOUN
ejpam-1170	264	8	and	and	CCONJ
ejpam-1170	264	9	graphics	graphic	NOUN
ejpam-1170	264	10	.	.	PUNCT
ejpam-1170	265	1	journal	journal	PROPN
ejpam-1170	265	2	of	of	ADP
ejpam-1170	265	3	computational	computational	ADJ
ejpam-1170	265	4	and	and	CCONJ
ejpam-1170	265	5	graphical	graphical	ADJ
ejpam-1170	265	6	statistics	statistic	NOUN
ejpam-1170	265	7	,	,	PUNCT
ejpam-1170	265	8	5:299–314	5:299–314	NOUN
ejpam-1170	265	9	,	,	PUNCT
ejpam-1170	265	10	1996	1996	NUM
ejpam-1170	265	11	.	.	PUNCT
ejpam-1170	266	1	[	[	X
ejpam-1170	266	2	3	3	X
ejpam-1170	266	3	]	]	X
ejpam-1170	266	4	govinda	govinda	PROPN
ejpam-1170	266	5	mudholkar	mudholkar	PROPN
ejpam-1170	266	6	,	,	PUNCT
ejpam-1170	266	7	deo	deo	PROPN
ejpam-1170	266	8	srivastava	srivastava	PROPN
ejpam-1170	266	9	,	,	PUNCT
ejpam-1170	266	10	and	and	CCONJ
ejpam-1170	266	11	george	george	PROPN
ejpam-1170	266	12	kollia	kollia	PROPN
ejpam-1170	266	13	.	.	PUNCT
ejpam-1170	267	1	a	a	DET
ejpam-1170	267	2	generalization	generalization	NOUN
ejpam-1170	267	3	of	of	ADP
ejpam-1170	267	4	the	the	DET
ejpam-1170	267	5	weibull	weibull	NOUN
ejpam-1170	267	6	distribution	distribution	NOUN
ejpam-1170	267	7	with	with	ADP
ejpam-1170	267	8	application	application	NOUN
ejpam-1170	267	9	to	to	ADP
ejpam-1170	267	10	the	the	DET
ejpam-1170	267	11	analysis	analysis	NOUN
ejpam-1170	267	12	of	of	ADP
ejpam-1170	267	13	survival	survival	NOUN
ejpam-1170	267	14	data	data	PROPN
ejpam-1170	267	15	.	.	PUNCT
ejpam-1170	268	1	journal	journal	PROPN
ejpam-1170	268	2	of	of	ADP
ejpam-1170	268	3	the	the	DET
ejpam-1170	268	4	american	american	PROPN
ejpam-1170	268	5	statistical	statistical	PROPN
ejpam-1170	268	6	association	association	NOUN
ejpam-1170	268	7	,	,	PUNCT
ejpam-1170	268	8	91(436):1575–1583	91(436):1575–1583	NOUN
ejpam-1170	268	9	,	,	PUNCT
ejpam-1170	268	10	1996	1996	NUM
ejpam-1170	268	11	.	.	PUNCT
ejpam-1170	269	1	[	[	X
ejpam-1170	269	2	4	4	NUM
ejpam-1170	269	3	]	]	X
ejpam-1170	269	4	manal	manal	ADJ
ejpam-1170	269	5	m.	m.	NOUN
ejpam-1170	269	6	nassar	nassar	PROPN
ejpam-1170	269	7	and	and	CCONJ
ejpam-1170	269	8	fathy	fathy	PROPN
ejpam-1170	269	9	h.	h.	PROPN
ejpam-1170	269	10	eissa	eissa	PROPN
ejpam-1170	269	11	.	.	PUNCT
ejpam-1170	270	1	on	on	ADP
ejpam-1170	270	2	the	the	DET
ejpam-1170	270	3	exponentiated	exponentiated	ADJ
ejpam-1170	270	4	weibull	weibull	NOUN
ejpam-1170	270	5	distribution	distribution	NOUN
ejpam-1170	270	6	.	.	PUNCT
ejpam-1170	271	1	communications	communication	NOUN
ejpam-1170	271	2	in	in	ADP
ejpam-1170	271	3	statistics	statistic	NOUN
ejpam-1170	271	4	theory	theory	NOUN
ejpam-1170	271	5	and	and	CCONJ
ejpam-1170	271	6	methods	method	NOUN
ejpam-1170	271	7	,	,	PUNCT
ejpam-1170	271	8	32(7):1317–1336	32(7):1317–1336	NUM
ejpam-1170	271	9	,	,	PUNCT
ejpam-1170	271	10	2003	2003	NUM
ejpam-1170	271	11	.	.	PUNCT
ejpam-1170	272	1	∗note	∗note	INTJ
ejpam-1170	272	2	that	that	DET
ejpam-1170	272	3	−1	−1	NOUN
ejpam-1170	273	1	≤	≤	PUNCT
ejpam-1170	273	2	λ	λ	X
ejpam-1170	273	3	≤	≤	NUM
ejpam-1170	273	4	1	1	NUM
ejpam-1170	273	5	therefore	therefore	ADV
ejpam-1170	273	6	the	the	DET
ejpam-1170	273	7	upper	upper	ADJ
ejpam-1170	273	8	limit	limit	NOUN
ejpam-1170	273	9	of	of	ADP
ejpam-1170	273	10	λ	λ	PROPN
ejpam-1170	273	11	can	can	AUX
ejpam-1170	273	12	be	be	AUX
ejpam-1170	273	13	simply	simply	ADV
ejpam-1170	273	14	replaced	replace	VERB
ejpam-1170	273	15	by	by	ADP
ejpam-1170	273	16	1	1	NUM
ejpam-1170	273	17	.	.	PUNCT
ejpam-1170	274	1	references	reference	NOUN
ejpam-1170	274	2	102	102	NUM
ejpam-1170	274	3	[	[	X
ejpam-1170	274	4	5	5	NUM
ejpam-1170	274	5	]	]	PUNCT
ejpam-1170	274	6	m.	m.	NOUN
ejpam-1170	274	7	d.	d.	PROPN
ejpam-1170	274	8	nichols	nichols	PROPN
ejpam-1170	274	9	and	and	CCONJ
ejpam-1170	274	10	w.j	w.j	PROPN
ejpam-1170	274	11	.	.	PROPN
ejpam-1170	274	12	padgett	padgett	PROPN
ejpam-1170	274	13	.	.	PUNCT
ejpam-1170	275	1	a	a	DET
ejpam-1170	275	2	bootstrap	bootstrap	NOUN
ejpam-1170	275	3	control	control	PROPN
ejpam-1170	275	4	chart	chart	PROPN
ejpam-1170	275	5	for	for	ADP
ejpam-1170	275	6	weibull	weibull	PROPN
ejpam-1170	275	7	percentiles	percentile	NOUN
ejpam-1170	275	8	.	.	PUNCT
ejpam-1170	276	1	quality	quality	NOUN
ejpam-1170	276	2	and	and	CCONJ
ejpam-1170	276	3	reliability	reliability	NOUN
ejpam-1170	276	4	engineering	engineering	NOUN
ejpam-1170	276	5	international	international	NOUN
ejpam-1170	276	6	,	,	PUNCT
ejpam-1170	276	7	22:141–151	22:141–151	PROPN
ejpam-1170	276	8	,	,	PUNCT
ejpam-1170	276	9	2006	2006	NUM
ejpam-1170	276	10	.	.	PUNCT
ejpam-1170	277	1	[	[	X
ejpam-1170	277	2	6	6	NUM
ejpam-1170	277	3	]	]	PUNCT
ejpam-1170	277	4	m.	m.	NOUN
ejpam-1170	277	5	pal	pal	NOUN
ejpam-1170	277	6	,	,	PUNCT
ejpam-1170	277	7	m.	m.	NOUN
ejpam-1170	277	8	m.	m.	PROPN
ejpam-1170	277	9	ali	ali	PROPN
ejpam-1170	277	10	,	,	PUNCT
ejpam-1170	277	11	and	and	CCONJ
ejpam-1170	277	12	j.	j.	PROPN
ejpam-1170	277	13	woo	woo	PROPN
ejpam-1170	277	14	.	.	PUNCT
ejpam-1170	278	1	on	on	ADP
ejpam-1170	278	2	the	the	DET
ejpam-1170	278	3	exponentiated	exponentiated	ADJ
ejpam-1170	278	4	weibull	weibull	NOUN
ejpam-1170	278	5	distribution	distribution	NOUN
ejpam-1170	278	6	.	.	PUNCT
ejpam-1170	279	1	statistica	statistica	PROPN
ejpam-1170	279	2	.	.	PROPN
ejpam-1170	279	3	,	,	PUNCT
ejpam-1170	279	4	(	(	PUNCT
ejpam-1170	279	5	2):139–147	2):139–147	NUM
ejpam-1170	279	6	,	,	PUNCT
ejpam-1170	279	7	2006	2006	NUM
ejpam-1170	279	8	.	.	PUNCT
ejpam-1170	280	1	[	[	X
ejpam-1170	280	2	7	7	X
ejpam-1170	280	3	]	]	X
ejpam-1170	280	4	hoang	hoang	PROPN
ejpam-1170	280	5	pham	pham	PROPN
ejpam-1170	280	6	and	and	CCONJ
ejpam-1170	280	7	chin	chin	PROPN
ejpam-1170	280	8	-	-	PUNCT
ejpam-1170	280	9	diew	diew	NOUN
ejpam-1170	280	10	lai	lai	PROPN
ejpam-1170	280	11	.	.	PUNCT
ejpam-1170	281	1	on	on	ADP
ejpam-1170	281	2	recent	recent	ADJ
ejpam-1170	281	3	generalizations	generalization	NOUN
ejpam-1170	281	4	of	of	ADP
ejpam-1170	281	5	the	the	DET
ejpam-1170	281	6	weibull	weibull	PROPN
ejpam-1170	281	7	distribution	distribution	NOUN
ejpam-1170	281	8	.	.	PUNCT
ejpam-1170	282	1	ieee	ieee	NOUN
ejpam-1170	282	2	transactions	transaction	NOUN
ejpam-1170	282	3	on	on	ADP
ejpam-1170	282	4	reliability	reliability	NOUN
ejpam-1170	282	5	,	,	PUNCT
ejpam-1170	282	6	56(3):454–458	56(3):454–458	NOUN
ejpam-1170	282	7	,	,	PUNCT
ejpam-1170	282	8	2007	2007	NUM
ejpam-1170	282	9	.	.	PUNCT
ejpam-1170	283	1	[	[	X
ejpam-1170	283	2	8	8	NUM
ejpam-1170	283	3	]	]	X
ejpam-1170	283	4	c.	c.	PROPN
ejpam-1170	283	5	p.	p.	PROPN
ejpam-1170	283	6	quesenberry	quesenberry	PROPN
ejpam-1170	283	7	and	and	CCONJ
ejpam-1170	283	8	jacqueline	jacqueline	PROPN
ejpam-1170	283	9	kent	kent	PROPN
ejpam-1170	283	10	.	.	PUNCT
ejpam-1170	284	1	selecting	select	VERB
ejpam-1170	284	2	among	among	ADP
ejpam-1170	284	3	probability	probability	NOUN
ejpam-1170	284	4	distributions	distribution	NOUN
ejpam-1170	284	5	used	use	VERB
ejpam-1170	284	6	in	in	ADP
ejpam-1170	284	7	reliability	reliability	NOUN
ejpam-1170	284	8	.	.	PUNCT
ejpam-1170	285	1	technometrics	technometric	NOUN
ejpam-1170	285	2	,	,	PUNCT
ejpam-1170	285	3	24(1):59–65	24(1):59–65	NUM
ejpam-1170	285	4	,	,	PUNCT
ejpam-1170	285	5	1982	1982	NUM
ejpam-1170	285	6	.	.	PUNCT
ejpam-1170	286	1	[	[	X
ejpam-1170	286	2	9	9	NUM
ejpam-1170	286	3	]	]	PUNCT
ejpam-1170	286	4	w.	w.	PROPN
ejpam-1170	286	5	shaw	shaw	PROPN
ejpam-1170	286	6	and	and	CCONJ
ejpam-1170	286	7	i.	i.	PROPN
ejpam-1170	286	8	buckley	buckley	PROPN
ejpam-1170	286	9	.	.	PUNCT
ejpam-1170	287	1	the	the	DET
ejpam-1170	287	2	alchemy	alchemy	NOUN
ejpam-1170	287	3	of	of	ADP
ejpam-1170	287	4	probability	probability	NOUN
ejpam-1170	287	5	distributions	distribution	NOUN
ejpam-1170	287	6	:	:	PUNCT
ejpam-1170	287	7	beyond	beyond	ADP
ejpam-1170	287	8	gram	gram	NOUN
ejpam-1170	287	9	-	-	PUNCT
ejpam-1170	287	10	charlier	charlier	NOUN
ejpam-1170	287	11	expansions	expansion	NOUN
ejpam-1170	287	12	,	,	PUNCT
ejpam-1170	287	13	and	and	CCONJ
ejpam-1170	287	14	a	a	DET
ejpam-1170	287	15	skew	skew	ADJ
ejpam-1170	287	16	-	-	PUNCT
ejpam-1170	287	17	kurtotic	kurtotic	ADJ
ejpam-1170	287	18	-	-	PUNCT
ejpam-1170	287	19	normal	normal	ADJ
ejpam-1170	287	20	distribution	distribution	NOUN
ejpam-1170	287	21	from	from	ADP
ejpam-1170	287	22	a	a	DET
ejpam-1170	287	23	rank	rank	NOUN
ejpam-1170	287	24	transmutation	transmutation	NOUN
ejpam-1170	287	25	map	map	NOUN
ejpam-1170	287	26	..	..	PUNCT
ejpam-1170	287	27	research	research	NOUN
ejpam-1170	287	28	report	report	NOUN
ejpam-1170	287	29	,	,	PUNCT
ejpam-1170	287	30	2007	2007	NUM
ejpam-1170	287	31	.	.	PUNCT
ejpam-1170	288	1	[	[	X
ejpam-1170	288	2	10	10	NUM
ejpam-1170	288	3	]	]	X
ejpam-1170	288	4	m.	m.	NOUN
ejpam-1170	288	5	zaindin	zaindin	PROPN
ejpam-1170	288	6	and	and	CCONJ
ejpam-1170	288	7	ammar	ammar	PROPN
ejpam-1170	288	8	m.	m.	PROPN
ejpam-1170	288	9	sarhan	sarhan	PROPN
ejpam-1170	288	10	.	.	PUNCT
ejpam-1170	289	1	parameters	parameter	NOUN
ejpam-1170	289	2	estimation	estimation	NOUN
ejpam-1170	289	3	of	of	ADP
ejpam-1170	289	4	the	the	DET
ejpam-1170	289	5	modified	modify	VERB
ejpam-1170	289	6	weibull	weibull	NOUN
ejpam-1170	289	7	distribution	distribution	NOUN
ejpam-1170	289	8	.	.	PUNCT
ejpam-1170	290	1	applied	apply	VERB
ejpam-1170	290	2	mathematical	mathematical	ADJ
ejpam-1170	290	3	sciences	science	NOUN
ejpam-1170	290	4	,	,	PUNCT
ejpam-1170	290	5	3(11):541–550	3(11):541–550	NUM
ejpam-1170	290	6	,	,	PUNCT
ejpam-1170	290	7	2009	2009	NUM
ejpam-1170	290	8	.	.	PUNCT