id	sid	tid	token	lemma	pos
ejpam-5981	1	1	european	european	PROPN
ejpam-5981	1	2	journal	journal	PROPN
ejpam-5981	1	3	of	of	ADP
ejpam-5981	1	4	pure	pure	ADJ
ejpam-5981	1	5	and	and	CCONJ
ejpam-5981	1	6	applied	applied	ADJ
ejpam-5981	1	7	mathematics	mathematic	NOUN
ejpam-5981	1	8	2025	2025	NUM
ejpam-5981	1	9	,	,	PUNCT
ejpam-5981	1	10	vol	vol	NOUN
ejpam-5981	1	11	.	.	PROPN
ejpam-5981	1	12	18	18	NUM
ejpam-5981	1	13	,	,	PUNCT
ejpam-5981	1	14	issue	issue	NOUN
ejpam-5981	1	15	2	2	NUM
ejpam-5981	1	16	,	,	PUNCT
ejpam-5981	1	17	article	article	NOUN
ejpam-5981	1	18	number	number	NOUN
ejpam-5981	1	19	5981	5981	NUM
ejpam-5981	1	20	issn	issn	PROPN
ejpam-5981	1	21	1307	1307	NUM
ejpam-5981	1	22	-	-	SYM
ejpam-5981	1	23	5543	5543	NUM
ejpam-5981	1	24	–	–	PUNCT
ejpam-5981	1	25	ejpam.com	ejpam.com	X
ejpam-5981	1	26	published	publish	VERB
ejpam-5981	1	27	by	by	ADP
ejpam-5981	1	28	new	new	PROPN
ejpam-5981	1	29	york	york	PROPN
ejpam-5981	1	30	business	business	PROPN
ejpam-5981	1	31	global	global	PROPN
ejpam-5981	1	32	a	a	DET
ejpam-5981	1	33	new	new	ADJ
ejpam-5981	1	34	method	method	NOUN
ejpam-5981	1	35	for	for	ADP
ejpam-5981	1	36	generating	generate	VERB
ejpam-5981	1	37	continuous	continuous	ADJ
ejpam-5981	1	38	distributions	distribution	NOUN
ejpam-5981	1	39	with	with	ADP
ejpam-5981	1	40	applications	application	NOUN
ejpam-5981	1	41	morad	morad	NOUN
ejpam-5981	1	42	ahmad1,2	ahmad1,2	PROPN
ejpam-5981	1	43	,	,	PUNCT
ejpam-5981	1	44	mohammad	mohammad	PROPN
ejpam-5981	1	45	a.	a.	PROPN
ejpam-5981	1	46	amleh2,∗	amleh2,∗	PROPN
ejpam-5981	1	47	1	1	NUM
ejpam-5981	1	48	department	department	NOUN
ejpam-5981	1	49	of	of	ADP
ejpam-5981	1	50	mathematics	mathematic	NOUN
ejpam-5981	1	51	,	,	PUNCT
ejpam-5981	1	52	the	the	DET
ejpam-5981	1	53	university	university	PROPN
ejpam-5981	1	54	of	of	ADP
ejpam-5981	1	55	jordan	jordan	PROPN
ejpam-5981	1	56	,	,	PUNCT
ejpam-5981	1	57	amman	amman	PROPN
ejpam-5981	1	58	,	,	PUNCT
ejpam-5981	1	59	11942	11942	NUM
ejpam-5981	1	60	,	,	PUNCT
ejpam-5981	1	61	jordan	jordan	PROPN
ejpam-5981	1	62	2	2	NUM
ejpam-5981	1	63	department	department	NOUN
ejpam-5981	1	64	of	of	ADP
ejpam-5981	1	65	mathematics	mathematic	NOUN
ejpam-5981	1	66	,	,	PUNCT
ejpam-5981	1	67	faculty	faculty	NOUN
ejpam-5981	1	68	of	of	ADP
ejpam-5981	1	69	science	science	NOUN
ejpam-5981	1	70	,	,	PUNCT
ejpam-5981	1	71	zarqa	zarqa	PROPN
ejpam-5981	1	72	university	university	PROPN
ejpam-5981	1	73	,	,	PUNCT
ejpam-5981	1	74	zarqa	zarqa	PROPN
ejpam-5981	1	75	,	,	PUNCT
ejpam-5981	1	76	jordan	jordan	PROPN
ejpam-5981	1	77	abstract	abstract	PROPN
ejpam-5981	1	78	.	.	PUNCT
ejpam-5981	2	1	in	in	ADP
ejpam-5981	2	2	this	this	DET
ejpam-5981	2	3	paper	paper	NOUN
ejpam-5981	2	4	,	,	PUNCT
ejpam-5981	2	5	a	a	DET
ejpam-5981	2	6	new	new	ADJ
ejpam-5981	2	7	modifying	modifying	NOUN
ejpam-5981	2	8	method	method	NOUN
ejpam-5981	2	9	has	have	AUX
ejpam-5981	2	10	been	be	AUX
ejpam-5981	2	11	introduced	introduce	VERB
ejpam-5981	2	12	by	by	ADP
ejpam-5981	2	13	adding	add	VERB
ejpam-5981	2	14	an	an	DET
ejpam-5981	2	15	extra	extra	ADJ
ejpam-5981	2	16	parameter	parameter	NOUN
ejpam-5981	2	17	to	to	PART
ejpam-5981	2	18	generate	generate	VERB
ejpam-5981	2	19	a	a	DET
ejpam-5981	2	20	new	new	ADJ
ejpam-5981	2	21	family	family	NOUN
ejpam-5981	2	22	of	of	ADP
ejpam-5981	2	23	distributions	distribution	NOUN
ejpam-5981	2	24	that	that	PRON
ejpam-5981	2	25	has	have	VERB
ejpam-5981	2	26	more	more	ADJ
ejpam-5981	2	27	flexibility	flexibility	NOUN
ejpam-5981	2	28	and	and	CCONJ
ejpam-5981	2	29	better	well	ADJ
ejpam-5981	2	30	model	model	NOUN
ejpam-5981	2	31	fitting	fitting	ADJ
ejpam-5981	2	32	.	.	PUNCT
ejpam-5981	3	1	a	a	DET
ejpam-5981	3	2	special	special	ADJ
ejpam-5981	3	3	case	case	NOUN
ejpam-5981	3	4	has	have	AUX
ejpam-5981	3	5	been	be	AUX
ejpam-5981	3	6	considered	consider	VERB
ejpam-5981	3	7	;	;	PUNCT
ejpam-5981	3	8	the	the	DET
ejpam-5981	3	9	exponential	exponential	ADJ
ejpam-5981	3	10	distribution	distribution	NOUN
ejpam-5981	3	11	.	.	PUNCT
ejpam-5981	4	1	all	all	DET
ejpam-5981	4	2	the	the	DET
ejpam-5981	4	3	main	main	ADJ
ejpam-5981	4	4	properties	property	NOUN
ejpam-5981	4	5	of	of	ADP
ejpam-5981	4	6	the	the	DET
ejpam-5981	4	7	new	new	ADJ
ejpam-5981	4	8	modified	modify	VERB
ejpam-5981	4	9	exponential	exponential	ADJ
ejpam-5981	4	10	distribution	distribution	NOUN
ejpam-5981	4	11	are	be	AUX
ejpam-5981	4	12	derived	derive	VERB
ejpam-5981	4	13	,	,	PUNCT
ejpam-5981	4	14	including	include	VERB
ejpam-5981	4	15	the	the	DET
ejpam-5981	4	16	cdf	cdf	PROPN
ejpam-5981	4	17	,	,	PUNCT
ejpam-5981	4	18	pdf	pdf	NOUN
ejpam-5981	4	19	,	,	PUNCT
ejpam-5981	4	20	and	and	CCONJ
ejpam-5981	4	21	quantile	quantile	ADJ
ejpam-5981	4	22	function	function	NOUN
ejpam-5981	4	23	.	.	PUNCT
ejpam-5981	5	1	the	the	DET
ejpam-5981	5	2	maximum	maximum	ADJ
ejpam-5981	5	3	likelihood	likelihood	NOUN
ejpam-5981	5	4	estimation	estimation	NOUN
ejpam-5981	5	5	method	method	NOUN
ejpam-5981	5	6	is	be	AUX
ejpam-5981	5	7	used	use	VERB
ejpam-5981	5	8	to	to	PART
ejpam-5981	5	9	estimate	estimate	VERB
ejpam-5981	5	10	unknown	unknown	ADJ
ejpam-5981	5	11	parameters	parameter	NOUN
ejpam-5981	5	12	.	.	PUNCT
ejpam-5981	6	1	the	the	DET
ejpam-5981	6	2	modified	modify	VERB
ejpam-5981	6	3	exponential	exponential	ADJ
ejpam-5981	6	4	distribution	distribution	NOUN
ejpam-5981	6	5	has	have	AUX
ejpam-5981	6	6	been	be	AUX
ejpam-5981	6	7	applied	apply	VERB
ejpam-5981	6	8	to	to	ADP
ejpam-5981	6	9	two	two	NUM
ejpam-5981	6	10	-	-	PUNCT
ejpam-5981	6	11	lifetime	lifetime	NOUN
ejpam-5981	6	12	data	datum	NOUN
ejpam-5981	6	13	sets	set	NOUN
ejpam-5981	6	14	to	to	PART
ejpam-5981	6	15	illustrate	illustrate	VERB
ejpam-5981	6	16	its	its	PRON
ejpam-5981	6	17	efficiency	efficiency	NOUN
ejpam-5981	6	18	.	.	PUNCT
ejpam-5981	7	1	2020	2020	NUM
ejpam-5981	7	2	mathematics	mathematic	NOUN
ejpam-5981	7	3	subject	subject	NOUN
ejpam-5981	7	4	classifications	classification	NOUN
ejpam-5981	7	5	:	:	PUNCT
ejpam-5981	7	6	62e10	62e10	NUM
ejpam-5981	7	7	,	,	PUNCT
ejpam-5981	7	8	62n02	62n02	NOUN
ejpam-5981	7	9	,	,	PUNCT
ejpam-5981	7	10	62n05	62n05	NUM
ejpam-5981	7	11	key	key	ADJ
ejpam-5981	7	12	words	word	NOUN
ejpam-5981	7	13	and	and	CCONJ
ejpam-5981	7	14	phrases	phrase	NOUN
ejpam-5981	7	15	:	:	PUNCT
ejpam-5981	7	16	reliability	reliability	NOUN
ejpam-5981	7	17	function	function	NOUN
ejpam-5981	7	18	,	,	PUNCT
ejpam-5981	7	19	maximum	maximum	ADJ
ejpam-5981	7	20	likelihood	likelihood	NOUN
ejpam-5981	7	21	estimation	estimation	NOUN
ejpam-5981	7	22	,	,	PUNCT
ejpam-5981	7	23	exponential	exponential	ADJ
ejpam-5981	7	24	distribution	distribution	NOUN
ejpam-5981	7	25	1	1	NUM
ejpam-5981	7	26	.	.	PUNCT
ejpam-5981	7	27	introduction	introduction	NOUN
ejpam-5981	7	28	the	the	DET
ejpam-5981	7	29	distribution	distribution	NOUN
ejpam-5981	7	30	of	of	ADP
ejpam-5981	7	31	random	random	ADJ
ejpam-5981	7	32	variables	variable	NOUN
ejpam-5981	7	33	is	be	AUX
ejpam-5981	7	34	one	one	NUM
ejpam-5981	7	35	of	of	ADP
ejpam-5981	7	36	the	the	DET
ejpam-5981	7	37	key	key	ADJ
ejpam-5981	7	38	concepts	concept	NOUN
ejpam-5981	7	39	used	use	VERB
ejpam-5981	7	40	in	in	ADP
ejpam-5981	7	41	statistics	statistic	NOUN
ejpam-5981	7	42	to	to	AUX
ejpam-5981	7	43	model	model	VERB
ejpam-5981	7	44	and	and	CCONJ
ejpam-5981	7	45	fit	fit	ADJ
ejpam-5981	7	46	data	data	NOUN
ejpam-5981	7	47	sets	set	NOUN
ejpam-5981	7	48	.	.	PUNCT
ejpam-5981	8	1	there	there	PRON
ejpam-5981	8	2	are	be	VERB
ejpam-5981	8	3	several	several	ADJ
ejpam-5981	8	4	well	well	ADV
ejpam-5981	8	5	-	-	PUNCT
ejpam-5981	8	6	known	know	VERB
ejpam-5981	8	7	distributions	distribution	NOUN
ejpam-5981	8	8	used	use	VERB
ejpam-5981	8	9	in	in	ADP
ejpam-5981	8	10	the	the	DET
ejpam-5981	8	11	literature	literature	NOUN
ejpam-5981	8	12	.	.	PUNCT
ejpam-5981	9	1	these	these	DET
ejpam-5981	9	2	distributions	distribution	NOUN
ejpam-5981	9	3	show	show	VERB
ejpam-5981	9	4	strong	strong	ADJ
ejpam-5981	9	5	effectiveness	effectiveness	NOUN
ejpam-5981	9	6	in	in	ADP
ejpam-5981	9	7	many	many	ADJ
ejpam-5981	9	8	situations	situation	NOUN
ejpam-5981	9	9	but	but	CCONJ
ejpam-5981	9	10	fail	fail	VERB
ejpam-5981	9	11	in	in	ADP
ejpam-5981	9	12	other	other	ADJ
ejpam-5981	9	13	cases	case	NOUN
ejpam-5981	9	14	.	.	PUNCT
ejpam-5981	10	1	because	because	SCONJ
ejpam-5981	10	2	of	of	ADP
ejpam-5981	10	3	this	this	PRON
ejpam-5981	10	4	,	,	PUNCT
ejpam-5981	10	5	more	more	ADV
ejpam-5981	10	6	general	general	ADJ
ejpam-5981	10	7	and	and	CCONJ
ejpam-5981	10	8	flexible	flexible	ADJ
ejpam-5981	10	9	distributions	distribution	NOUN
ejpam-5981	10	10	have	have	AUX
ejpam-5981	10	11	appeared	appear	VERB
ejpam-5981	10	12	recently	recently	ADV
ejpam-5981	10	13	by	by	ADP
ejpam-5981	10	14	many	many	ADJ
ejpam-5981	10	15	authors	author	NOUN
ejpam-5981	10	16	by	by	ADP
ejpam-5981	10	17	adding	add	VERB
ejpam-5981	10	18	a	a	DET
ejpam-5981	10	19	new	new	ADJ
ejpam-5981	10	20	parameter	parameter	NOUN
ejpam-5981	10	21	to	to	ADP
ejpam-5981	10	22	a	a	DET
ejpam-5981	10	23	family	family	NOUN
ejpam-5981	10	24	of	of	ADP
ejpam-5981	10	25	distribution	distribution	NOUN
ejpam-5981	10	26	functions	function	NOUN
ejpam-5981	10	27	to	to	PART
ejpam-5981	10	28	give	give	VERB
ejpam-5981	10	29	better	well	ADV
ejpam-5981	10	30	fitting	fitting	ADJ
ejpam-5981	10	31	for	for	ADP
ejpam-5981	10	32	the	the	DET
ejpam-5981	10	33	empirical	empirical	ADJ
ejpam-5981	10	34	data	datum	NOUN
ejpam-5981	10	35	.	.	PUNCT
ejpam-5981	11	1	recently	recently	ADV
ejpam-5981	11	2	,	,	PUNCT
ejpam-5981	11	3	ahmad	ahmad	PROPN
ejpam-5981	11	4	and	and	CCONJ
ejpam-5981	11	5	asha[1	asha[1	PROPN
ejpam-5981	11	6	]	]	X
ejpam-5981	11	7	introduced	introduce	VERB
ejpam-5981	11	8	the	the	DET
ejpam-5981	11	9	exponential	exponential	ADJ
ejpam-5981	11	10	reliability	reliability	NOUN
ejpam-5981	11	11	method	method	NOUN
ejpam-5981	11	12	which	which	PRON
ejpam-5981	11	13	is	be	AUX
ejpam-5981	11	14	a	a	DET
ejpam-5981	11	15	new	new	ADJ
ejpam-5981	11	16	method	method	NOUN
ejpam-5981	11	17	for	for	ADP
ejpam-5981	11	18	generating	generate	VERB
ejpam-5981	11	19	a	a	DET
ejpam-5981	11	20	new	new	ADJ
ejpam-5981	11	21	family	family	NOUN
ejpam-5981	11	22	of	of	ADP
ejpam-5981	11	23	distribution	distribution	NOUN
ejpam-5981	11	24	functions	function	NOUN
ejpam-5981	11	25	.	.	PUNCT
ejpam-5981	12	1	a	a	DET
ejpam-5981	12	2	well	well	ADV
ejpam-5981	12	3	-	-	PUNCT
ejpam-5981	12	4	known	know	VERB
ejpam-5981	12	5	approach	approach	NOUN
ejpam-5981	12	6	for	for	ADP
ejpam-5981	12	7	this	this	DET
ejpam-5981	12	8	purpose	purpose	NOUN
ejpam-5981	12	9	is	be	AUX
ejpam-5981	12	10	the	the	DET
ejpam-5981	12	11	tx	tx	PROPN
ejpam-5981	12	12	family	family	NOUN
ejpam-5981	12	13	of	of	ADP
ejpam-5981	12	14	distributions	distribution	NOUN
ejpam-5981	12	15	,	,	PUNCT
ejpam-5981	12	16	which	which	PRON
ejpam-5981	12	17	was	be	AUX
ejpam-5981	12	18	suggested	suggest	VERB
ejpam-5981	12	19	by	by	ADP
ejpam-5981	12	20	aljarrah	aljarrah	PROPN
ejpam-5981	12	21	et	et	PROPN
ejpam-5981	12	22	al	al	PROPN
ejpam-5981	12	23	.	.	PUNCT
ejpam-5981	13	1	[	[	X
ejpam-5981	13	2	2	2	NUM
ejpam-5981	13	3	]	]	PUNCT
ejpam-5981	13	4	.	.	PUNCT
ejpam-5981	14	1	this	this	DET
ejpam-5981	14	2	work	work	NOUN
ejpam-5981	14	3	is	be	AUX
ejpam-5981	14	4	similar	similar	ADJ
ejpam-5981	14	5	to	to	ADP
ejpam-5981	14	6	the	the	DET
ejpam-5981	14	7	beta	beta	NOUN
ejpam-5981	14	8	-	-	PUNCT
ejpam-5981	14	9	normal	normal	ADJ
ejpam-5981	14	10	distribution	distribution	NOUN
ejpam-5981	14	11	proposed	propose	VERB
ejpam-5981	14	12	by	by	ADP
ejpam-5981	14	13	eugene	eugene	PROPN
ejpam-5981	14	14	et	et	PROPN
ejpam-5981	14	15	al	al	PROPN
ejpam-5981	14	16	.	.	PUNCT
ejpam-5981	15	1	[	[	X
ejpam-5981	15	2	3	3	NUM
ejpam-5981	15	3	]	]	PUNCT
ejpam-5981	15	4	.	.	PUNCT
ejpam-5981	16	1	other	other	ADJ
ejpam-5981	16	2	researchers	researcher	NOUN
ejpam-5981	16	3	made	make	VERB
ejpam-5981	16	4	improvements	improvement	NOUN
ejpam-5981	16	5	for	for	ADP
ejpam-5981	16	6	classical	classical	ADJ
ejpam-5981	16	7	distributions	distribution	NOUN
ejpam-5981	16	8	like	like	ADP
ejpam-5981	16	9	the	the	DET
ejpam-5981	16	10	weibull	weibull	PROPN
ejpam-5981	16	11	distribution[4	distribution[4	PROPN
ejpam-5981	16	12	]	]	X
ejpam-5981	16	13	,	,	PUNCT
ejpam-5981	16	14	such	such	ADJ
ejpam-5981	16	15	as	as	ADP
ejpam-5981	16	16	the	the	DET
ejpam-5981	16	17	transmuted	transmuted	ADJ
ejpam-5981	16	18	modified	modified	ADJ
ejpam-5981	16	19	weibull	weibull	NOUN
ejpam-5981	16	20	distribution	distribution	NOUN
ejpam-5981	16	21	[	[	X
ejpam-5981	16	22	5	5	NUM
ejpam-5981	16	23	]	]	PUNCT
ejpam-5981	16	24	and	and	CCONJ
ejpam-5981	16	25	the	the	DET
ejpam-5981	16	26	transmuted	transmuted	ADJ
ejpam-5981	16	27	inverse	inverse	ADJ
ejpam-5981	16	28	weibull	weibull	NOUN
ejpam-5981	16	29	distribution	distribution	NOUN
ejpam-5981	16	30	[	[	X
ejpam-5981	16	31	6	6	NUM
ejpam-5981	16	32	]	]	PUNCT
ejpam-5981	16	33	.	.	PUNCT
ejpam-5981	17	1	more	more	ADJ
ejpam-5981	17	2	details	detail	NOUN
ejpam-5981	17	3	on	on	ADP
ejpam-5981	17	4	this	this	DET
ejpam-5981	17	5	context	context	NOUN
ejpam-5981	17	6	can	can	AUX
ejpam-5981	17	7	be	be	AUX
ejpam-5981	17	8	found	find	VERB
ejpam-5981	17	9	in	in	ADP
ejpam-5981	17	10	[	[	X
ejpam-5981	17	11	7	7	NUM
ejpam-5981	17	12	]	]	PUNCT
ejpam-5981	17	13	and	and	CCONJ
ejpam-5981	17	14	[	[	X
ejpam-5981	17	15	8	8	NUM
ejpam-5981	17	16	]	]	PUNCT
ejpam-5981	17	17	.	.	PUNCT
ejpam-5981	18	1	this	this	DET
ejpam-5981	18	2	paper	paper	NOUN
ejpam-5981	18	3	aims	aim	VERB
ejpam-5981	18	4	to	to	PART
ejpam-5981	18	5	insert	insert	VERB
ejpam-5981	18	6	a	a	DET
ejpam-5981	18	7	new	new	ADJ
ejpam-5981	18	8	parameter	parameter	NOUN
ejpam-5981	18	9	into	into	ADP
ejpam-5981	18	10	a	a	DET
ejpam-5981	18	11	family	family	NOUN
ejpam-5981	18	12	of	of	ADP
ejpam-5981	18	13	distribution	distribution	NOUN
ejpam-5981	18	14	functions	function	NOUN
ejpam-5981	18	15	to	to	PART
ejpam-5981	18	16	produce	produce	VERB
ejpam-5981	18	17	a	a	DET
ejpam-5981	18	18	new	new	ADJ
ejpam-5981	18	19	more	more	ADV
ejpam-5981	18	20	powerful	powerful	ADJ
ejpam-5981	18	21	family	family	NOUN
ejpam-5981	18	22	that	that	PRON
ejpam-5981	18	23	can	can	AUX
ejpam-5981	18	24	adjust	adjust	VERB
ejpam-5981	18	25	reliability	reliability	NOUN
ejpam-5981	18	26	and	and	CCONJ
ejpam-5981	18	27	has	have	VERB
ejpam-5981	18	28	better	well	ADV
ejpam-5981	18	29	fit	fit	ADJ
ejpam-5981	18	30	and	and	CCONJ
ejpam-5981	18	31	∗corresponding	∗corresponde	VERB
ejpam-5981	18	32	author	author	NOUN
ejpam-5981	18	33	.	.	PUNCT
ejpam-5981	19	1	doi	doi	NOUN
ejpam-5981	19	2	:	:	PUNCT
ejpam-5981	19	3	https://doi.org/10.29020/nybg.ejpam.v18i2.5981	https://doi.org/10.29020/nybg.ejpam.v18i2.5981	PROPN
ejpam-5981	19	4	email	email	NOUN
ejpam-5981	19	5	addresses	address	NOUN
ejpam-5981	19	6	:	:	PUNCT
ejpam-5981	19	7	m.ahmad@zu.edu.jo	m.ahmad@zu.edu.jo	PROPN
ejpam-5981	19	8	(	(	PUNCT
ejpam-5981	19	9	m.	m.	NOUN
ejpam-5981	19	10	ahmad	ahmad	PROPN
ejpam-5981	19	11	)	)	PUNCT
ejpam-5981	19	12	,	,	PUNCT
ejpam-5981	20	1	malamleh@zu.edu.jo	malamleh@zu.edu.jo	NOUN
ejpam-5981	20	2	(	(	PUNCT
ejpam-5981	20	3	m.	m.	NOUN
ejpam-5981	20	4	a.	a.	NOUN
ejpam-5981	20	5	amleh	amleh	PROPN
ejpam-5981	20	6	)	)	PUNCT
ejpam-5981	20	7	https://www.ejpam.com	https://www.ejpam.com	NOUN
ejpam-5981	20	8	1	1	NUM
ejpam-5981	20	9	copyright	copyright	NOUN
ejpam-5981	20	10	:	:	PUNCT
ejpam-5981	20	11	©	©	PROPN
ejpam-5981	20	12	2025	2025	NUM
ejpam-5981	20	13	the	the	DET
ejpam-5981	20	14	author(s	author(s	NOUN
ejpam-5981	20	15	)	)	PUNCT
ejpam-5981	20	16	.	.	PUNCT
ejpam-5981	21	1	(	(	PUNCT
ejpam-5981	21	2	cc	cc	NOUN
ejpam-5981	21	3	by	by	ADP
ejpam-5981	21	4	-	-	PUNCT
ejpam-5981	21	5	nc	nc	PROPN
ejpam-5981	21	6	4.0	4.0	NUM
ejpam-5981	21	7	)	)	PUNCT
ejpam-5981	21	8	m.	m.	NOUN
ejpam-5981	21	9	ahmad	ahmad	PROPN
ejpam-5981	21	10	,	,	PUNCT
ejpam-5981	21	11	m.	m.	NOUN
ejpam-5981	21	12	a.	a.	NOUN
ejpam-5981	21	13	amleh	amleh	PROPN
ejpam-5981	21	14	/	/	SYM
ejpam-5981	21	15	eur	eur	PROPN
ejpam-5981	21	16	.	.	PUNCT
ejpam-5981	22	1	j.	j.	PROPN
ejpam-5981	22	2	pure	pure	PROPN
ejpam-5981	22	3	appl	appl	PROPN
ejpam-5981	22	4	.	.	PROPN
ejpam-5981	22	5	math	math	PROPN
ejpam-5981	22	6	,	,	PUNCT
ejpam-5981	22	7	18	18	NUM
ejpam-5981	22	8	(	(	PUNCT
ejpam-5981	22	9	2	2	NUM
ejpam-5981	22	10	)	)	PUNCT
ejpam-5981	22	11	(	(	PUNCT
ejpam-5981	22	12	2025	2025	NUM
ejpam-5981	22	13	)	)	PUNCT
ejpam-5981	22	14	,	,	PUNCT
ejpam-5981	22	15	5981	5981	NUM
ejpam-5981	22	16	2	2	NUM
ejpam-5981	22	17	of	of	ADP
ejpam-5981	22	18	16	16	NUM
ejpam-5981	22	19	more	more	ADJ
ejpam-5981	22	20	flexibility	flexibility	NOUN
ejpam-5981	22	21	as	as	ADV
ejpam-5981	22	22	well	well	ADV
ejpam-5981	22	23	as	as	ADP
ejpam-5981	22	24	simplicity	simplicity	NOUN
ejpam-5981	22	25	.	.	PUNCT
ejpam-5981	23	1	this	this	DET
ejpam-5981	23	2	new	new	ADJ
ejpam-5981	23	3	method	method	NOUN
ejpam-5981	23	4	is	be	AUX
ejpam-5981	23	5	called	call	VERB
ejpam-5981	23	6	the	the	DET
ejpam-5981	23	7	alpha	alpha	NOUN
ejpam-5981	23	8	-	-	PUNCT
ejpam-5981	23	9	r	r	NOUN
ejpam-5981	23	10	(	(	PUNCT
ejpam-5981	23	11	α	α	NOUN
ejpam-5981	23	12	−	−	NOUN
ejpam-5981	23	13	r	r	NOUN
ejpam-5981	23	14	)	)	PUNCT
ejpam-5981	23	15	method	method	NOUN
ejpam-5981	23	16	.	.	PUNCT
ejpam-5981	24	1	the	the	DET
ejpam-5981	24	2	α	α	NOUN
ejpam-5981	24	3	−	−	NOUN
ejpam-5981	24	4	r	r	NOUN
ejpam-5981	24	5	method	method	NOUN
ejpam-5981	24	6	can	can	AUX
ejpam-5981	24	7	be	be	AUX
ejpam-5981	24	8	used	use	VERB
ejpam-5981	24	9	easily	easily	ADV
ejpam-5981	24	10	and	and	CCONJ
ejpam-5981	24	11	effectively	effectively	ADV
ejpam-5981	24	12	for	for	ADP
ejpam-5981	24	13	data	datum	NOUN
ejpam-5981	24	14	analysis	analysis	NOUN
ejpam-5981	24	15	.	.	PUNCT
ejpam-5981	25	1	first	first	ADV
ejpam-5981	25	2	,	,	PUNCT
ejpam-5981	25	3	we	we	PRON
ejpam-5981	25	4	present	present	VERB
ejpam-5981	25	5	the	the	DET
ejpam-5981	25	6	modified	modify	VERB
ejpam-5981	25	7	family	family	NOUN
ejpam-5981	25	8	and	and	CCONJ
ejpam-5981	25	9	discuss	discuss	VERB
ejpam-5981	25	10	its	its	PRON
ejpam-5981	25	11	main	main	ADJ
ejpam-5981	25	12	properties	property	NOUN
ejpam-5981	25	13	.	.	PUNCT
ejpam-5981	26	1	then	then	ADV
ejpam-5981	26	2	,	,	PUNCT
ejpam-5981	26	3	the	the	DET
ejpam-5981	26	4	technique	technique	NOUN
ejpam-5981	26	5	is	be	AUX
ejpam-5981	26	6	applied	apply	VERB
ejpam-5981	26	7	to	to	ADP
ejpam-5981	26	8	the	the	DET
ejpam-5981	26	9	exponential	exponential	ADJ
ejpam-5981	26	10	distribution	distribution	NOUN
ejpam-5981	26	11	.	.	PUNCT
ejpam-5981	27	1	two	two	NUM
ejpam-5981	27	2	data	data	NOUN
ejpam-5981	27	3	sets	set	NOUN
ejpam-5981	27	4	are	be	AUX
ejpam-5981	27	5	fitted	fit	VERB
ejpam-5981	27	6	using	use	VERB
ejpam-5981	27	7	the	the	DET
ejpam-5981	27	8	classical	classical	ADJ
ejpam-5981	27	9	distributions	distribution	NOUN
ejpam-5981	27	10	and	and	CCONJ
ejpam-5981	27	11	the	the	DET
ejpam-5981	27	12	modified	modify	VERB
ejpam-5981	27	13	exponential	exponential	ADJ
ejpam-5981	27	14	distribution	distribution	NOUN
ejpam-5981	27	15	using	use	VERB
ejpam-5981	27	16	the	the	DET
ejpam-5981	27	17	alpha	alpha	NOUN
ejpam-5981	27	18	-	-	PUNCT
ejpam-5981	27	19	r	r	NOUN
ejpam-5981	27	20	method	method	NOUN
ejpam-5981	27	21	,	,	PUNCT
ejpam-5981	27	22	we	we	PRON
ejpam-5981	27	23	compare	compare	VERB
ejpam-5981	27	24	them	they	PRON
ejpam-5981	27	25	using	use	VERB
ejpam-5981	27	26	akaike	akaike	ADJ
ejpam-5981	27	27	’s	’s	PART
ejpam-5981	27	28	information	information	NOUN
ejpam-5981	27	29	criterion	criterion	NOUN
ejpam-5981	27	30	[	[	X
ejpam-5981	27	31	9	9	NUM
ejpam-5981	27	32	]	]	PUNCT
ejpam-5981	27	33	,	,	PUNCT
ejpam-5981	27	34	the	the	DET
ejpam-5981	27	35	bayesian	bayesian	ADJ
ejpam-5981	27	36	information	information	NOUN
ejpam-5981	27	37	criterion	criterion	NOUN
ejpam-5981	27	38	and	and	CCONJ
ejpam-5981	27	39	kolmogorov	kolmogorov	ADJ
ejpam-5981	27	40	-	-	PUNCT
ejpam-5981	27	41	smirnov	smirnov	ADJ
ejpam-5981	27	42	test	test	NOUN
ejpam-5981	27	43	.	.	PUNCT
ejpam-5981	28	1	the	the	DET
ejpam-5981	28	2	maximum	maximum	ADJ
ejpam-5981	28	3	likelihood	likelihood	NOUN
ejpam-5981	28	4	estimation	estimation	NOUN
ejpam-5981	28	5	method	method	NOUN
ejpam-5981	28	6	is	be	AUX
ejpam-5981	28	7	used	use	VERB
ejpam-5981	28	8	to	to	PART
ejpam-5981	28	9	estimate	estimate	VERB
ejpam-5981	28	10	the	the	DET
ejpam-5981	28	11	parameters	parameter	NOUN
ejpam-5981	28	12	.	.	PUNCT
ejpam-5981	29	1	all	all	DET
ejpam-5981	29	2	calculations	calculation	NOUN
ejpam-5981	29	3	are	be	AUX
ejpam-5981	29	4	obtained	obtain	VERB
ejpam-5981	29	5	using	use	VERB
ejpam-5981	29	6	r	r	NOUN
ejpam-5981	29	7	software	software	NOUN
ejpam-5981	29	8	.	.	PUNCT
ejpam-5981	30	1	2	2	X
ejpam-5981	30	2	.	.	X
ejpam-5981	30	3	the	the	DET
ejpam-5981	30	4	α−r	α−r	PROPN
ejpam-5981	30	5	family	family	NOUN
ejpam-5981	30	6	the	the	DET
ejpam-5981	30	7	cumulative	cumulative	ADJ
ejpam-5981	30	8	distribution	distribution	NOUN
ejpam-5981	30	9	function	function	NOUN
ejpam-5981	30	10	(	(	PUNCT
ejpam-5981	30	11	cdf	cdf	PROPN
ejpam-5981	30	12	)	)	PUNCT
ejpam-5981	30	13	of	of	ADP
ejpam-5981	30	14	the	the	DET
ejpam-5981	30	15	α−r	α−r	PROPN
ejpam-5981	30	16	family	family	NOUN
ejpam-5981	30	17	is	be	AUX
ejpam-5981	30	18	defined	define	VERB
ejpam-5981	30	19	as	as	SCONJ
ejpam-5981	30	20	follows	follow	VERB
ejpam-5981	30	21	g(y	g(y	NOUN
ejpam-5981	30	22	)	)	PUNCT
ejpam-5981	30	23	=	=	SYM
ejpam-5981	31	1	1−r(y)αf	1−r(y)αf	NUM
ejpam-5981	31	2	(	(	PUNCT
ejpam-5981	31	3	y	y	NOUN
ejpam-5981	31	4	)	)	PUNCT
ejpam-5981	31	5	,	,	PUNCT
ejpam-5981	31	6	y	y	PROPN
ejpam-5981	31	7	∈	∈	PROPN
ejpam-5981	31	8	r	r	NOUN
ejpam-5981	31	9	,	,	PUNCT
ejpam-5981	31	10	0	0	NUM
ejpam-5981	31	11	<	<	X
ejpam-5981	31	12	α	α	PRON
ejpam-5981	31	13	≤	≤	X
ejpam-5981	31	14	e	e	X
ejpam-5981	31	15	(	(	PUNCT
ejpam-5981	31	16	1	1	X
ejpam-5981	31	17	)	)	PUNCT
ejpam-5981	31	18	where	where	SCONJ
ejpam-5981	31	19	f(y	f(y	NOUN
ejpam-5981	31	20	)	)	PUNCT
ejpam-5981	31	21	and	and	CCONJ
ejpam-5981	31	22	r(y	r(y	VERB
ejpam-5981	31	23	)	)	PUNCT
ejpam-5981	31	24	are	be	AUX
ejpam-5981	31	25	the	the	DET
ejpam-5981	31	26	cdf	cdf	PROPN
ejpam-5981	31	27	and	and	CCONJ
ejpam-5981	31	28	reliability	reliability	NOUN
ejpam-5981	31	29	function	function	NOUN
ejpam-5981	31	30	of	of	ADP
ejpam-5981	31	31	a	a	DET
ejpam-5981	31	32	baseline	baseline	ADJ
ejpam-5981	31	33	distribution	distribution	NOUN
ejpam-5981	31	34	,	,	PUNCT
ejpam-5981	31	35	respectively	respectively	ADV
ejpam-5981	31	36	.	.	PUNCT
ejpam-5981	32	1	a	a	DET
ejpam-5981	32	2	new	new	ADJ
ejpam-5981	32	3	parameter	parameter	NOUN
ejpam-5981	32	4	α(0	α(0	PROPN
ejpam-5981	32	5	<	<	X
ejpam-5981	32	6	α	α	X
ejpam-5981	32	7	≤	≤	PUNCT
ejpam-5981	32	8	e	e	X
ejpam-5981	32	9	)	)	PUNCT
ejpam-5981	32	10	is	be	AUX
ejpam-5981	32	11	utilized	utilize	VERB
ejpam-5981	32	12	to	to	PART
ejpam-5981	32	13	extend	extend	VERB
ejpam-5981	32	14	the	the	DET
ejpam-5981	32	15	use	use	NOUN
ejpam-5981	32	16	of	of	ADP
ejpam-5981	32	17	a	a	DET
ejpam-5981	32	18	random	random	ADJ
ejpam-5981	32	19	variable	variable	NOUN
ejpam-5981	32	20	y	y	NOUN
ejpam-5981	32	21	.	.	PUNCT
ejpam-5981	33	1	it	it	PRON
ejpam-5981	33	2	is	be	AUX
ejpam-5981	33	3	clear	clear	ADJ
ejpam-5981	33	4	that	that	SCONJ
ejpam-5981	33	5	if	if	SCONJ
ejpam-5981	33	6	α	α	PRON
ejpam-5981	33	7	=	=	SYM
ejpam-5981	33	8	1	1	NUM
ejpam-5981	33	9	,	,	PUNCT
ejpam-5981	33	10	then	then	ADV
ejpam-5981	33	11	g(y	g(y	NOUN
ejpam-5981	33	12	)	)	PUNCT
ejpam-5981	33	13	=	=	SYM
ejpam-5981	33	14	f	f	PROPN
ejpam-5981	33	15	(	(	PUNCT
ejpam-5981	33	16	y	y	PROPN
ejpam-5981	33	17	)	)	PUNCT
ejpam-5981	33	18	.	.	PUNCT
ejpam-5981	34	1	the	the	DET
ejpam-5981	34	2	probability	probability	NOUN
ejpam-5981	34	3	density	density	NOUN
ejpam-5981	34	4	function	function	NOUN
ejpam-5981	34	5	(	(	PUNCT
ejpam-5981	34	6	pdf	pdf	NOUN
ejpam-5981	34	7	)	)	PUNCT
ejpam-5981	34	8	corresponding	correspond	VERB
ejpam-5981	34	9	to	to	ADP
ejpam-5981	34	10	(	(	PUNCT
ejpam-5981	34	11	1	1	X
ejpam-5981	34	12	)	)	PUNCT
ejpam-5981	34	13	is	be	AUX
ejpam-5981	34	14	given	give	VERB
ejpam-5981	34	15	by	by	ADP
ejpam-5981	34	16	:	:	PUNCT
ejpam-5981	34	17	g(y	g(y	PROPN
ejpam-5981	34	18	)	)	PUNCT
ejpam-5981	34	19	=	=	SYM
ejpam-5981	34	20	f(y)αf	f(y)αf	NUM
ejpam-5981	34	21	(	(	PUNCT
ejpam-5981	34	22	y)[1−	y)[1−	X
ejpam-5981	34	23	(	(	PUNCT
ejpam-5981	34	24	logα)r(y	logα)r(y	VERB
ejpam-5981	34	25	)	)	PUNCT
ejpam-5981	34	26	]	]	PUNCT
ejpam-5981	34	27	,	,	PUNCT
ejpam-5981	34	28	y	y	PROPN
ejpam-5981	34	29	∈	∈	PROPN
ejpam-5981	34	30	r	r	NOUN
ejpam-5981	34	31	,	,	PUNCT
ejpam-5981	34	32	0	0	NUM
ejpam-5981	34	33	<	<	X
ejpam-5981	34	34	α	α	X
ejpam-5981	34	35	≤	≤	PUNCT
ejpam-5981	34	36	e	e	X
ejpam-5981	34	37	,	,	PUNCT
ejpam-5981	34	38	(	(	PUNCT
ejpam-5981	34	39	2	2	X
ejpam-5981	34	40	)	)	PUNCT
ejpam-5981	34	41	where	where	SCONJ
ejpam-5981	34	42	f(y	f(y	NOUN
ejpam-5981	34	43	)	)	PUNCT
ejpam-5981	34	44	represents	represent	VERB
ejpam-5981	34	45	the	the	DET
ejpam-5981	34	46	pdf	pdf	NOUN
ejpam-5981	34	47	of	of	ADP
ejpam-5981	34	48	a	a	DET
ejpam-5981	34	49	baseline	baseline	ADJ
ejpam-5981	34	50	distribution	distribution	NOUN
ejpam-5981	34	51	.	.	PUNCT
ejpam-5981	35	1	further	far	ADV
ejpam-5981	35	2	,	,	PUNCT
ejpam-5981	35	3	it	it	PRON
ejpam-5981	35	4	can	can	AUX
ejpam-5981	35	5	be	be	AUX
ejpam-5981	35	6	shown	show	VERB
ejpam-5981	35	7	that	that	SCONJ
ejpam-5981	35	8	the	the	DET
ejpam-5981	35	9	hazard	hazard	NOUN
ejpam-5981	35	10	rate	rate	NOUN
ejpam-5981	35	11	function	function	NOUN
ejpam-5981	35	12	of	of	ADP
ejpam-5981	35	13	the	the	DET
ejpam-5981	35	14	α−r	α−r	PROPN
ejpam-5981	35	15	family	family	NOUN
ejpam-5981	35	16	is	be	AUX
ejpam-5981	35	17	given	give	VERB
ejpam-5981	35	18	as	as	ADP
ejpam-5981	35	19	z(y	z(y	PROPN
ejpam-5981	35	20	)	)	PUNCT
ejpam-5981	36	1	=	=	SYM
ejpam-5981	36	2	h(y)[1−	h(y)[1−	PROPN
ejpam-5981	36	3	(	(	PUNCT
ejpam-5981	36	4	logα)r(y	logα)r(y	VERB
ejpam-5981	36	5	)	)	PUNCT
ejpam-5981	36	6	]	]	PUNCT
ejpam-5981	36	7	,	,	PUNCT
ejpam-5981	36	8	y	y	PROPN
ejpam-5981	36	9	∈	∈	PROPN
ejpam-5981	36	10	r	r	NOUN
ejpam-5981	36	11	,	,	PUNCT
ejpam-5981	36	12	0	0	NUM
ejpam-5981	36	13	<	<	X
ejpam-5981	36	14	α	α	X
ejpam-5981	36	15	≤	≤	PUNCT
ejpam-5981	36	16	e	e	X
ejpam-5981	36	17	,	,	PUNCT
ejpam-5981	36	18	(	(	PUNCT
ejpam-5981	36	19	3	3	X
ejpam-5981	36	20	)	)	PUNCT
ejpam-5981	36	21	where	where	SCONJ
ejpam-5981	36	22	h(y	h(y	NOUN
ejpam-5981	36	23	)	)	PUNCT
ejpam-5981	36	24	is	be	AUX
ejpam-5981	36	25	the	the	DET
ejpam-5981	36	26	hazard	hazard	NOUN
ejpam-5981	36	27	rate	rate	NOUN
ejpam-5981	36	28	function	function	NOUN
ejpam-5981	36	29	of	of	ADP
ejpam-5981	36	30	the	the	DET
ejpam-5981	36	31	original	original	ADJ
ejpam-5981	36	32	distribution	distribution	NOUN
ejpam-5981	36	33	.	.	PUNCT
ejpam-5981	37	1	3	3	X
ejpam-5981	37	2	.	.	X
ejpam-5981	37	3	α−r	α−r	NOUN
ejpam-5981	37	4	exponential	exponential	ADJ
ejpam-5981	37	5	distribution	distribution	NOUN
ejpam-5981	37	6	in	in	ADP
ejpam-5981	37	7	this	this	DET
ejpam-5981	37	8	section	section	NOUN
ejpam-5981	37	9	,	,	PUNCT
ejpam-5981	37	10	we	we	PRON
ejpam-5981	37	11	present	present	VERB
ejpam-5981	37	12	a	a	DET
ejpam-5981	37	13	special	special	ADJ
ejpam-5981	37	14	case	case	NOUN
ejpam-5981	37	15	of	of	ADP
ejpam-5981	37	16	the	the	DET
ejpam-5981	37	17	α−r	α−r	PROPN
ejpam-5981	37	18	family	family	NOUN
ejpam-5981	37	19	.	.	PUNCT
ejpam-5981	38	1	this	this	DET
ejpam-5981	38	2	special	special	ADJ
ejpam-5981	38	3	distribution	distribution	NOUN
ejpam-5981	38	4	is	be	AUX
ejpam-5981	38	5	considered	consider	VERB
ejpam-5981	38	6	as	as	ADP
ejpam-5981	38	7	a	a	DET
ejpam-5981	38	8	generalization	generalization	NOUN
ejpam-5981	38	9	of	of	ADP
ejpam-5981	38	10	the	the	DET
ejpam-5981	38	11	exponential	exponential	ADJ
ejpam-5981	38	12	distribution	distribution	NOUN
ejpam-5981	38	13	.	.	PUNCT
ejpam-5981	39	1	definition	definition	NOUN
ejpam-5981	39	2	1	1	NUM
ejpam-5981	39	3	.	.	PUNCT
ejpam-5981	40	1	a	a	DET
ejpam-5981	40	2	random	random	ADJ
ejpam-5981	40	3	variable	variable	NOUN
ejpam-5981	40	4	y	y	PROPN
ejpam-5981	40	5	is	be	AUX
ejpam-5981	40	6	said	say	VERB
ejpam-5981	40	7	to	to	PART
ejpam-5981	40	8	have	have	VERB
ejpam-5981	40	9	α−r	α−r	PROPN
ejpam-5981	40	10	exponential	exponential	ADJ
ejpam-5981	40	11	(	(	PUNCT
ejpam-5981	40	12	α−re	α−re	NOUN
ejpam-5981	40	13	)	)	PUNCT
ejpam-5981	40	14	distribution	distribution	NOUN
ejpam-5981	40	15	if	if	SCONJ
ejpam-5981	40	16	its	its	PRON
ejpam-5981	40	17	cdf	cdf	PROPN
ejpam-5981	40	18	is	be	AUX
ejpam-5981	40	19	given	give	VERB
ejpam-5981	40	20	by	by	ADP
ejpam-5981	40	21	:	:	PUNCT
ejpam-5981	40	22	g(y	g(y	NOUN
ejpam-5981	40	23	,	,	PUNCT
ejpam-5981	40	24	α	α	NOUN
ejpam-5981	40	25	,	,	PUNCT
ejpam-5981	40	26	θ	θ	NOUN
ejpam-5981	40	27	)	)	PUNCT
ejpam-5981	40	28	=	=	SYM
ejpam-5981	40	29	1−	1−	NUM
ejpam-5981	40	30	e−θy	e−θy	PROPN
ejpam-5981	40	31	×	×	PROPN
ejpam-5981	40	32	α1−e−θy	α1−e−θy	NUM
ejpam-5981	40	33	,	,	PUNCT
ejpam-5981	40	34	y	y	PROPN
ejpam-5981	40	35	>	>	X
ejpam-5981	40	36	0	0	PROPN
ejpam-5981	40	37	,	,	PUNCT
ejpam-5981	40	38	θ	θ	PROPN
ejpam-5981	40	39	>	>	X
ejpam-5981	40	40	0	0	NUM
ejpam-5981	40	41	,	,	PUNCT
ejpam-5981	40	42	0	0	NUM
ejpam-5981	40	43	<	<	X
ejpam-5981	40	44	α	α	PRON
ejpam-5981	40	45	≤	≤	X
ejpam-5981	40	46	e	e	X
ejpam-5981	40	47	(	(	PUNCT
ejpam-5981	40	48	4	4	X
ejpam-5981	40	49	)	)	PUNCT
ejpam-5981	40	50	the	the	DET
ejpam-5981	40	51	corresponding	correspond	VERB
ejpam-5981	40	52	pdf	pdf	NOUN
ejpam-5981	40	53	of	of	ADP
ejpam-5981	40	54	the	the	DET
ejpam-5981	40	55	α−re	α−re	PROPN
ejpam-5981	40	56	distribution	distribution	NOUN
ejpam-5981	40	57	is	be	AUX
ejpam-5981	40	58	defined	define	VERB
ejpam-5981	40	59	as	as	ADP
ejpam-5981	40	60	:	:	PUNCT
ejpam-5981	40	61	g(y	g(y	NOUN
ejpam-5981	40	62	,	,	PUNCT
ejpam-5981	40	63	α	α	NOUN
ejpam-5981	40	64	,	,	PUNCT
ejpam-5981	40	65	θ	θ	NOUN
ejpam-5981	40	66	)	)	PUNCT
ejpam-5981	40	67	=	=	SYM
ejpam-5981	40	68	θα1−e−θy	θα1−e−θy	NOUN
ejpam-5981	40	69	(	(	PUNCT
ejpam-5981	40	70	e−θy	e−θy	NOUN
ejpam-5981	40	71	−	−	PROPN
ejpam-5981	40	72	logα×	logα×	PROPN
ejpam-5981	40	73	e−2θy	e−2θy	NOUN
ejpam-5981	40	74	)	)	PUNCT
ejpam-5981	40	75	,	,	PUNCT
ejpam-5981	40	76	y	y	PROPN
ejpam-5981	40	77	>	>	X
ejpam-5981	40	78	0	0	PROPN
ejpam-5981	40	79	,	,	PUNCT
ejpam-5981	40	80	θ	θ	PROPN
ejpam-5981	40	81	>	>	X
ejpam-5981	40	82	0	0	NUM
ejpam-5981	40	83	,	,	PUNCT
ejpam-5981	40	84	0	0	NUM
ejpam-5981	40	85	<	<	X
ejpam-5981	40	86	α	α	PRON
ejpam-5981	40	87	≤	≤	X
ejpam-5981	40	88	e	e	X
ejpam-5981	40	89	(	(	PUNCT
ejpam-5981	40	90	5	5	X
ejpam-5981	40	91	)	)	PUNCT
ejpam-5981	40	92	plots	plot	NOUN
ejpam-5981	40	93	for	for	ADP
ejpam-5981	40	94	the	the	DET
ejpam-5981	40	95	cdf	cdf	NOUN
ejpam-5981	40	96	of	of	ADP
ejpam-5981	40	97	the	the	DET
ejpam-5981	40	98	α	α	NOUN
ejpam-5981	40	99	−	−	NOUN
ejpam-5981	40	100	re	re	NOUN
ejpam-5981	40	101	distribution	distribution	NOUN
ejpam-5981	40	102	are	be	AUX
ejpam-5981	40	103	provided	provide	VERB
ejpam-5981	40	104	in	in	ADP
ejpam-5981	40	105	figures	figure	NOUN
ejpam-5981	40	106	1	1	NUM
ejpam-5981	40	107	and	and	CCONJ
ejpam-5981	40	108	2	2	NUM
ejpam-5981	40	109	.	.	PUNCT
ejpam-5981	41	1	in	in	ADP
ejpam-5981	41	2	addition	addition	NOUN
ejpam-5981	41	3	,	,	PUNCT
ejpam-5981	41	4	figures	figure	NOUN
ejpam-5981	41	5	3	3	NUM
ejpam-5981	41	6	and	and	CCONJ
ejpam-5981	41	7	4	4	NUM
ejpam-5981	41	8	display	display	VERB
ejpam-5981	41	9	the	the	DET
ejpam-5981	41	10	plots	plot	NOUN
ejpam-5981	41	11	of	of	ADP
ejpam-5981	41	12	the	the	DET
ejpam-5981	41	13	corresponding	corresponding	ADJ
ejpam-5981	41	14	pdfs	pdfs	NOUN
ejpam-5981	41	15	.	.	PUNCT
ejpam-5981	42	1	m.	m.	PROPN
ejpam-5981	42	2	ahmad	ahmad	PROPN
ejpam-5981	42	3	,	,	PUNCT
ejpam-5981	42	4	m.	m.	NOUN
ejpam-5981	42	5	a.	a.	NOUN
ejpam-5981	42	6	amleh	amleh	PROPN
ejpam-5981	42	7	/	/	SYM
ejpam-5981	42	8	eur	eur	PROPN
ejpam-5981	42	9	.	.	PUNCT
ejpam-5981	43	1	j.	j.	PROPN
ejpam-5981	43	2	pure	pure	PROPN
ejpam-5981	43	3	appl	appl	PROPN
ejpam-5981	43	4	.	.	PROPN
ejpam-5981	43	5	math	math	PROPN
ejpam-5981	43	6	,	,	PUNCT
ejpam-5981	43	7	18	18	NUM
ejpam-5981	43	8	(	(	PUNCT
ejpam-5981	43	9	2	2	NUM
ejpam-5981	43	10	)	)	PUNCT
ejpam-5981	43	11	(	(	PUNCT
ejpam-5981	43	12	2025	2025	NUM
ejpam-5981	43	13	)	)	PUNCT
ejpam-5981	43	14	,	,	PUNCT
ejpam-5981	43	15	5981	5981	NUM
ejpam-5981	43	16	3	3	NUM
ejpam-5981	43	17	of	of	ADP
ejpam-5981	43	18	16	16	NUM
ejpam-5981	43	19	0	0	NUM
ejpam-5981	43	20	2	2	NUM
ejpam-5981	43	21	4	4	NUM
ejpam-5981	43	22	6	6	NUM
ejpam-5981	43	23	8	8	NUM
ejpam-5981	43	24	10	10	NUM
ejpam-5981	43	25	0	0	NUM
ejpam-5981	43	26	0.2	0.2	NUM
ejpam-5981	43	27	0.4	0.4	NUM
ejpam-5981	43	28	0.6	0.6	NUM
ejpam-5981	43	29	0.8	0.8	NUM
ejpam-5981	43	30	1	1	NUM
ejpam-5981	43	31	y	y	PROPN
ejpam-5981	43	32	g	g	PROPN
ejpam-5981	43	33	(	(	PUNCT
ejpam-5981	43	34	y	y	PROPN
ejpam-5981	43	35	,	,	PUNCT
ejpam-5981	43	36	α	α	PROPN
ejpam-5981	43	37	,	,	PUNCT
ejpam-5981	43	38	θ	θ	NOUN
ejpam-5981	43	39	)	)	PUNCT
ejpam-5981	44	1	α	α	X
ejpam-5981	44	2	=	=	SYM
ejpam-5981	44	3	0.5	0.5	NUM
ejpam-5981	44	4	,	,	PUNCT
ejpam-5981	44	5	θ	θ	NOUN
ejpam-5981	44	6	=	=	SYM
ejpam-5981	44	7	0.5	0.5	NUM
ejpam-5981	44	8	α	α	NOUN
ejpam-5981	44	9	=	=	SYM
ejpam-5981	44	10	0.5	0.5	NUM
ejpam-5981	44	11	,	,	PUNCT
ejpam-5981	44	12	θ	θ	NOUN
ejpam-5981	44	13	=	=	SYM
ejpam-5981	44	14	2	2	NUM
ejpam-5981	44	15	α	α	NOUN
ejpam-5981	44	16	=	=	PUNCT
ejpam-5981	44	17	0.75	0.75	NUM
ejpam-5981	44	18	,	,	PUNCT
ejpam-5981	44	19	θ	θ	X
ejpam-5981	44	20	=	=	SYM
ejpam-5981	44	21	0.5	0.5	NUM
ejpam-5981	44	22	α	α	NOUN
ejpam-5981	44	23	=	=	NOUN
ejpam-5981	44	24	0.75	0.75	NUM
ejpam-5981	44	25	,	,	PUNCT
ejpam-5981	44	26	θ	θ	PROPN
ejpam-5981	44	27	=	=	SYM
ejpam-5981	44	28	2	2	NUM
ejpam-5981	44	29	figure	figure	NOUN
ejpam-5981	44	30	1	1	NUM
ejpam-5981	44	31	:	:	PUNCT
ejpam-5981	44	32	the	the	DET
ejpam-5981	44	33	cdf	cdf	PROPN
ejpam-5981	44	34	curves	curve	NOUN
ejpam-5981	44	35	of	of	ADP
ejpam-5981	44	36	the	the	DET
ejpam-5981	44	37	α−r	α−r	PROPN
ejpam-5981	44	38	e	e	NOUN
ejpam-5981	44	39	distribution	distribution	NOUN
ejpam-5981	44	40	for	for	ADP
ejpam-5981	44	41	the	the	DET
ejpam-5981	44	42	parameter	parameter	NOUN
ejpam-5981	44	43	values	value	NOUN
ejpam-5981	44	44	θ	θ	X
ejpam-5981	44	45	=	=	SYM
ejpam-5981	44	46	0.5	0.5	NUM
ejpam-5981	44	47	and	and	CCONJ
ejpam-5981	44	48	θ	θ	NOUN
ejpam-5981	44	49	=	=	SYM
ejpam-5981	44	50	2	2	NUM
ejpam-5981	44	51	,	,	PUNCT
ejpam-5981	44	52	and	and	CCONJ
ejpam-5981	44	53	α	α	NOUN
ejpam-5981	44	54	=	=	SYM
ejpam-5981	44	55	0.5	0.5	NUM
ejpam-5981	44	56	and	and	CCONJ
ejpam-5981	44	57	α	α	NOUN
ejpam-5981	44	58	=	=	NOUN
ejpam-5981	44	59	0.75	0.75	NUM
ejpam-5981	44	60	0	0	NUM
ejpam-5981	44	61	2	2	NUM
ejpam-5981	44	62	4	4	NUM
ejpam-5981	44	63	6	6	NUM
ejpam-5981	44	64	8	8	NUM
ejpam-5981	44	65	10	10	NUM
ejpam-5981	44	66	0	0	NUM
ejpam-5981	44	67	0.2	0.2	NUM
ejpam-5981	44	68	0.4	0.4	NUM
ejpam-5981	44	69	0.6	0.6	NUM
ejpam-5981	44	70	0.8	0.8	NUM
ejpam-5981	44	71	1	1	NUM
ejpam-5981	44	72	y	y	PROPN
ejpam-5981	44	73	g	g	PROPN
ejpam-5981	44	74	(	(	PUNCT
ejpam-5981	44	75	y	y	PROPN
ejpam-5981	44	76	,	,	PUNCT
ejpam-5981	44	77	α	α	PROPN
ejpam-5981	44	78	,	,	PUNCT
ejpam-5981	44	79	θ	θ	NOUN
ejpam-5981	44	80	)	)	PUNCT
ejpam-5981	44	81	α	α	X
ejpam-5981	44	82	=	=	SYM
ejpam-5981	44	83	1.5	1.5	NUM
ejpam-5981	44	84	,	,	PUNCT
ejpam-5981	44	85	θ	θ	X
ejpam-5981	44	86	=	=	SYM
ejpam-5981	44	87	0.5	0.5	NUM
ejpam-5981	44	88	α	α	NOUN
ejpam-5981	44	89	=	=	SYM
ejpam-5981	44	90	1.5	1.5	NUM
ejpam-5981	44	91	,	,	PUNCT
ejpam-5981	44	92	θ	θ	X
ejpam-5981	44	93	=	=	SYM
ejpam-5981	44	94	2	2	NUM
ejpam-5981	44	95	α	α	NOUN
ejpam-5981	44	96	=	=	SYM
ejpam-5981	44	97	e	e	NOUN
ejpam-5981	44	98	,	,	PUNCT
ejpam-5981	44	99	θ	θ	X
ejpam-5981	44	100	=	=	SYM
ejpam-5981	44	101	0.5	0.5	NUM
ejpam-5981	44	102	α	α	NOUN
ejpam-5981	44	103	=	=	SYM
ejpam-5981	44	104	e	e	NOUN
ejpam-5981	44	105	,	,	PUNCT
ejpam-5981	44	106	θ	θ	NOUN
ejpam-5981	44	107	=	=	SYM
ejpam-5981	44	108	2	2	NUM
ejpam-5981	44	109	figure	figure	NOUN
ejpam-5981	44	110	2	2	NUM
ejpam-5981	44	111	:	:	PUNCT
ejpam-5981	44	112	the	the	DET
ejpam-5981	44	113	cdf	cdf	PROPN
ejpam-5981	44	114	curves	curve	NOUN
ejpam-5981	44	115	of	of	ADP
ejpam-5981	44	116	the	the	DET
ejpam-5981	44	117	α−r	α−r	PROPN
ejpam-5981	44	118	e	e	NOUN
ejpam-5981	44	119	distribution	distribution	NOUN
ejpam-5981	44	120	for	for	ADP
ejpam-5981	44	121	the	the	DET
ejpam-5981	44	122	parameter	parameter	NOUN
ejpam-5981	44	123	values	value	NOUN
ejpam-5981	44	124	θ	θ	X
ejpam-5981	44	125	=	=	SYM
ejpam-5981	44	126	0.5	0.5	NUM
ejpam-5981	44	127	and	and	CCONJ
ejpam-5981	44	128	θ	θ	NOUN
ejpam-5981	44	129	=	=	SYM
ejpam-5981	44	130	2	2	NUM
ejpam-5981	44	131	,	,	PUNCT
ejpam-5981	44	132	and	and	CCONJ
ejpam-5981	44	133	α	α	NOUN
ejpam-5981	44	134	=	=	SYM
ejpam-5981	44	135	1.5	1.5	NUM
ejpam-5981	44	136	and	and	CCONJ
ejpam-5981	44	137	α	α	NOUN
ejpam-5981	44	138	=	=	SYM
ejpam-5981	44	139	e	e	PROPN
ejpam-5981	44	140	m.	m.	NOUN
ejpam-5981	44	141	ahmad	ahmad	PROPN
ejpam-5981	44	142	,	,	PUNCT
ejpam-5981	44	143	m.	m.	NOUN
ejpam-5981	44	144	a.	a.	NOUN
ejpam-5981	44	145	amleh	amleh	PROPN
ejpam-5981	44	146	/	/	SYM
ejpam-5981	44	147	eur	eur	PROPN
ejpam-5981	44	148	.	.	PUNCT
ejpam-5981	45	1	j.	j.	PROPN
ejpam-5981	45	2	pure	pure	PROPN
ejpam-5981	45	3	appl	appl	PROPN
ejpam-5981	45	4	.	.	PROPN
ejpam-5981	45	5	math	math	PROPN
ejpam-5981	45	6	,	,	PUNCT
ejpam-5981	45	7	18	18	NUM
ejpam-5981	45	8	(	(	PUNCT
ejpam-5981	45	9	2	2	NUM
ejpam-5981	45	10	)	)	PUNCT
ejpam-5981	45	11	(	(	PUNCT
ejpam-5981	45	12	2025	2025	NUM
ejpam-5981	45	13	)	)	PUNCT
ejpam-5981	45	14	,	,	PUNCT
ejpam-5981	45	15	5981	5981	NUM
ejpam-5981	45	16	4	4	NUM
ejpam-5981	45	17	of	of	ADP
ejpam-5981	45	18	16	16	NUM
ejpam-5981	45	19	0	0	NUM
ejpam-5981	45	20	2	2	NUM
ejpam-5981	45	21	4	4	NUM
ejpam-5981	45	22	6	6	NUM
ejpam-5981	45	23	8	8	NUM
ejpam-5981	45	24	10	10	NUM
ejpam-5981	45	25	0	0	NUM
ejpam-5981	45	26	1	1	NUM
ejpam-5981	45	27	2	2	NUM
ejpam-5981	45	28	3	3	NUM
ejpam-5981	45	29	y	y	PROPN
ejpam-5981	45	30	g	g	PROPN
ejpam-5981	45	31	(	(	PUNCT
ejpam-5981	45	32	y	y	PROPN
ejpam-5981	45	33	,	,	PUNCT
ejpam-5981	45	34	α	α	PROPN
ejpam-5981	45	35	,	,	PUNCT
ejpam-5981	45	36	θ	θ	NOUN
ejpam-5981	45	37	)	)	PUNCT
ejpam-5981	46	1	α	α	X
ejpam-5981	47	1	=	=	SYM
ejpam-5981	48	1	0.5	0.5	NUM
ejpam-5981	48	2	,	,	PUNCT
ejpam-5981	48	3	θ	θ	NOUN
ejpam-5981	48	4	=	=	SYM
ejpam-5981	48	5	0.5	0.5	NUM
ejpam-5981	48	6	α	α	NOUN
ejpam-5981	48	7	=	=	SYM
ejpam-5981	48	8	0.5	0.5	NUM
ejpam-5981	48	9	,	,	PUNCT
ejpam-5981	48	10	θ	θ	NOUN
ejpam-5981	48	11	=	=	SYM
ejpam-5981	48	12	2	2	NUM
ejpam-5981	48	13	α	α	NOUN
ejpam-5981	48	14	=	=	PUNCT
ejpam-5981	48	15	0.75	0.75	NUM
ejpam-5981	48	16	,	,	PUNCT
ejpam-5981	48	17	θ	θ	X
ejpam-5981	48	18	=	=	SYM
ejpam-5981	48	19	0.5	0.5	NUM
ejpam-5981	48	20	α	α	NOUN
ejpam-5981	48	21	=	=	NOUN
ejpam-5981	48	22	0.75	0.75	NUM
ejpam-5981	48	23	,	,	PUNCT
ejpam-5981	48	24	θ	θ	PROPN
ejpam-5981	48	25	=	=	SYM
ejpam-5981	48	26	2	2	NUM
ejpam-5981	48	27	figure	figure	NOUN
ejpam-5981	48	28	3	3	NUM
ejpam-5981	48	29	:	:	PUNCT
ejpam-5981	48	30	the	the	DET
ejpam-5981	48	31	pdf	pdf	NOUN
ejpam-5981	48	32	curves	curve	NOUN
ejpam-5981	48	33	of	of	ADP
ejpam-5981	48	34	the	the	DET
ejpam-5981	48	35	α−re	α−re	PROPN
ejpam-5981	48	36	distribution	distribution	NOUN
ejpam-5981	48	37	for	for	ADP
ejpam-5981	48	38	the	the	DET
ejpam-5981	48	39	parameter	parameter	NOUN
ejpam-5981	48	40	values	value	NOUN
ejpam-5981	48	41	θ	θ	X
ejpam-5981	48	42	=	=	SYM
ejpam-5981	48	43	0.5	0.5	NUM
ejpam-5981	48	44	and	and	CCONJ
ejpam-5981	48	45	θ	θ	NOUN
ejpam-5981	48	46	=	=	SYM
ejpam-5981	48	47	2	2	NUM
ejpam-5981	48	48	,	,	PUNCT
ejpam-5981	48	49	and	and	CCONJ
ejpam-5981	48	50	α	α	NOUN
ejpam-5981	48	51	=	=	SYM
ejpam-5981	48	52	0.5	0.5	NUM
ejpam-5981	48	53	and	and	CCONJ
ejpam-5981	48	54	α	α	NOUN
ejpam-5981	48	55	=	=	NOUN
ejpam-5981	48	56	0.75	0.75	NUM
ejpam-5981	48	57	0	0	NUM
ejpam-5981	48	58	2	2	NUM
ejpam-5981	48	59	4	4	NUM
ejpam-5981	48	60	6	6	NUM
ejpam-5981	48	61	8	8	NUM
ejpam-5981	48	62	10	10	NUM
ejpam-5981	48	63	0	0	NUM
ejpam-5981	48	64	0.2	0.2	NUM
ejpam-5981	48	65	0.4	0.4	NUM
ejpam-5981	48	66	0.6	0.6	NUM
ejpam-5981	48	67	0.8	0.8	NUM
ejpam-5981	48	68	1	1	NUM
ejpam-5981	48	69	y	y	PROPN
ejpam-5981	48	70	g	g	PROPN
ejpam-5981	48	71	(	(	PUNCT
ejpam-5981	48	72	y	y	PROPN
ejpam-5981	48	73	,	,	PUNCT
ejpam-5981	48	74	α	α	PROPN
ejpam-5981	48	75	,	,	PUNCT
ejpam-5981	48	76	θ	θ	NOUN
ejpam-5981	48	77	)	)	PUNCT
ejpam-5981	48	78	α	α	X
ejpam-5981	48	79	=	=	SYM
ejpam-5981	48	80	1.5	1.5	NUM
ejpam-5981	48	81	,	,	PUNCT
ejpam-5981	48	82	θ	θ	X
ejpam-5981	48	83	=	=	SYM
ejpam-5981	48	84	0.5	0.5	NUM
ejpam-5981	48	85	α	α	NOUN
ejpam-5981	48	86	=	=	SYM
ejpam-5981	48	87	1.5	1.5	NUM
ejpam-5981	48	88	,	,	PUNCT
ejpam-5981	48	89	θ	θ	X
ejpam-5981	48	90	=	=	SYM
ejpam-5981	48	91	2	2	NUM
ejpam-5981	48	92	α	α	NOUN
ejpam-5981	48	93	=	=	SYM
ejpam-5981	48	94	e	e	NOUN
ejpam-5981	48	95	,	,	PUNCT
ejpam-5981	48	96	θ	θ	X
ejpam-5981	48	97	=	=	SYM
ejpam-5981	48	98	0.5	0.5	NUM
ejpam-5981	48	99	α	α	NOUN
ejpam-5981	48	100	=	=	SYM
ejpam-5981	48	101	e	e	NOUN
ejpam-5981	48	102	,	,	PUNCT
ejpam-5981	48	103	θ	θ	NOUN
ejpam-5981	48	104	=	=	SYM
ejpam-5981	48	105	2	2	NUM
ejpam-5981	48	106	figure	figure	NOUN
ejpam-5981	48	107	4	4	NUM
ejpam-5981	48	108	:	:	PUNCT
ejpam-5981	48	109	the	the	DET
ejpam-5981	48	110	pdf	pdf	NOUN
ejpam-5981	48	111	curves	curve	NOUN
ejpam-5981	48	112	of	of	ADP
ejpam-5981	48	113	the	the	DET
ejpam-5981	48	114	α−re	α−re	PROPN
ejpam-5981	48	115	distribution	distribution	NOUN
ejpam-5981	48	116	for	for	ADP
ejpam-5981	48	117	the	the	DET
ejpam-5981	48	118	parameter	parameter	NOUN
ejpam-5981	48	119	values	value	NOUN
ejpam-5981	48	120	θ	θ	X
ejpam-5981	48	121	=	=	SYM
ejpam-5981	48	122	0.5	0.5	NUM
ejpam-5981	48	123	and	and	CCONJ
ejpam-5981	48	124	θ	θ	NOUN
ejpam-5981	48	125	=	=	SYM
ejpam-5981	48	126	2	2	NUM
ejpam-5981	48	127	,	,	PUNCT
ejpam-5981	48	128	and	and	CCONJ
ejpam-5981	48	129	α	α	NOUN
ejpam-5981	48	130	=	=	SYM
ejpam-5981	48	131	1.5	1.5	NUM
ejpam-5981	48	132	and	and	CCONJ
ejpam-5981	48	133	α	α	NOUN
ejpam-5981	48	134	=	=	SYM
ejpam-5981	48	135	e	e	ADP
ejpam-5981	48	136	4	4	X
ejpam-5981	48	137	.	.	PUNCT
ejpam-5981	48	138	statistical	statistical	ADJ
ejpam-5981	48	139	properties	property	NOUN
ejpam-5981	48	140	of	of	ADP
ejpam-5981	48	141	the	the	DET
ejpam-5981	48	142	α−re	α−re	PROPN
ejpam-5981	48	143	distribution	distribution	NOUN
ejpam-5981	48	144	in	in	ADP
ejpam-5981	48	145	this	this	DET
ejpam-5981	48	146	section	section	NOUN
ejpam-5981	48	147	,	,	PUNCT
ejpam-5981	48	148	some	some	DET
ejpam-5981	48	149	statistical	statistical	ADJ
ejpam-5981	48	150	properties	property	NOUN
ejpam-5981	48	151	of	of	ADP
ejpam-5981	48	152	the	the	DET
ejpam-5981	48	153	α	α	NOUN
ejpam-5981	48	154	−	−	NOUN
ejpam-5981	48	155	re	re	NOUN
ejpam-5981	48	156	distribution	distribution	NOUN
ejpam-5981	48	157	are	be	AUX
ejpam-5981	48	158	discussed	discuss	VERB
ejpam-5981	48	159	,	,	PUNCT
ejpam-5981	48	160	including	include	VERB
ejpam-5981	48	161	the	the	DET
ejpam-5981	48	162	moments	moment	NOUN
ejpam-5981	48	163	,	,	PUNCT
ejpam-5981	48	164	the	the	DET
ejpam-5981	48	165	quantile	quantile	ADJ
ejpam-5981	48	166	function	function	NOUN
ejpam-5981	48	167	,	,	PUNCT
ejpam-5981	48	168	and	and	CCONJ
ejpam-5981	48	169	the	the	DET
ejpam-5981	48	170	maximum	maximum	ADJ
ejpam-5981	48	171	likelihood	likelihood	NOUN
ejpam-5981	48	172	estimation	estimation	NOUN
ejpam-5981	48	173	.	.	PUNCT
ejpam-5981	49	1	m.	m.	PROPN
ejpam-5981	49	2	ahmad	ahmad	PROPN
ejpam-5981	49	3	,	,	PUNCT
ejpam-5981	49	4	m.	m.	NOUN
ejpam-5981	49	5	a.	a.	NOUN
ejpam-5981	49	6	amleh	amleh	PROPN
ejpam-5981	49	7	/	/	SYM
ejpam-5981	49	8	eur	eur	PROPN
ejpam-5981	49	9	.	.	PUNCT
ejpam-5981	50	1	j.	j.	PROPN
ejpam-5981	50	2	pure	pure	PROPN
ejpam-5981	50	3	appl	appl	PROPN
ejpam-5981	50	4	.	.	PROPN
ejpam-5981	50	5	math	math	PROPN
ejpam-5981	50	6	,	,	PUNCT
ejpam-5981	50	7	18	18	NUM
ejpam-5981	50	8	(	(	PUNCT
ejpam-5981	50	9	2	2	NUM
ejpam-5981	50	10	)	)	PUNCT
ejpam-5981	50	11	(	(	PUNCT
ejpam-5981	50	12	2025	2025	NUM
ejpam-5981	50	13	)	)	PUNCT
ejpam-5981	50	14	,	,	PUNCT
ejpam-5981	50	15	5981	5981	NUM
ejpam-5981	50	16	5	5	NUM
ejpam-5981	50	17	of	of	ADP
ejpam-5981	50	18	16	16	NUM
ejpam-5981	50	19	4.1	4.1	NUM
ejpam-5981	50	20	.	.	PUNCT
ejpam-5981	51	1	quantile	quantile	ADJ
ejpam-5981	51	2	function	function	NOUN
ejpam-5981	51	3	if	if	SCONJ
ejpam-5981	51	4	the	the	DET
ejpam-5981	51	5	cdf	cdf	NOUN
ejpam-5981	51	6	of	of	ADP
ejpam-5981	51	7	a	a	DET
ejpam-5981	51	8	distribution	distribution	NOUN
ejpam-5981	51	9	y	y	NOUN
ejpam-5981	51	10	is	be	AUX
ejpam-5981	51	11	h(y	h(y	ADV
ejpam-5981	51	12	)	)	PUNCT
ejpam-5981	51	13	,	,	PUNCT
ejpam-5981	51	14	then	then	ADV
ejpam-5981	51	15	q	q	NOUN
ejpam-5981	51	16	=	=	SYM
ejpam-5981	51	17	h−1(p	h−1(p	PROPN
ejpam-5981	51	18	)	)	PUNCT
ejpam-5981	51	19	,	,	PUNCT
ejpam-5981	51	20	0	0	PUNCT
ejpam-5981	52	1	<	<	X
ejpam-5981	52	2	p	p	X
ejpam-5981	52	3	<	<	X
ejpam-5981	52	4	1	1	NUM
ejpam-5981	52	5	is	be	AUX
ejpam-5981	52	6	the	the	DET
ejpam-5981	52	7	corresponding	correspond	VERB
ejpam-5981	52	8	quantile	quantile	ADJ
ejpam-5981	52	9	function	function	NOUN
ejpam-5981	52	10	.	.	PUNCT
ejpam-5981	53	1	thus	thus	ADV
ejpam-5981	53	2	,	,	PUNCT
ejpam-5981	53	3	the	the	DET
ejpam-5981	53	4	quantile	quantile	ADJ
ejpam-5981	53	5	function	function	NOUN
ejpam-5981	53	6	of	of	ADP
ejpam-5981	53	7	the	the	DET
ejpam-5981	53	8	α	α	NOUN
ejpam-5981	53	9	−	−	NOUN
ejpam-5981	53	10	re	re	ADP
ejpam-5981	53	11	distribution	distribution	NOUN
ejpam-5981	53	12	can	can	AUX
ejpam-5981	53	13	be	be	AUX
ejpam-5981	53	14	obtained	obtain	VERB
ejpam-5981	53	15	by	by	ADP
ejpam-5981	53	16	solving	solve	VERB
ejpam-5981	53	17	the	the	DET
ejpam-5981	53	18	equation	equation	NOUN
ejpam-5981	53	19	:	:	PUNCT
ejpam-5981	53	20	−θq	−θq	PROPN
ejpam-5981	53	21	−	−	PROPN
ejpam-5981	53	22	(	(	PUNCT
ejpam-5981	53	23	1−	1−	NUM
ejpam-5981	53	24	e−θq	e−θq	NOUN
ejpam-5981	53	25	)	)	PUNCT
ejpam-5981	53	26	logα	logα	NOUN
ejpam-5981	53	27	=	=	NOUN
ejpam-5981	53	28	log	log	NOUN
ejpam-5981	53	29	(	(	PUNCT
ejpam-5981	53	30	1−	1−	NUM
ejpam-5981	53	31	p	p	NOUN
ejpam-5981	53	32	)	)	PUNCT
ejpam-5981	53	33	,	,	PUNCT
ejpam-5981	53	34	0	0	PUNCT
ejpam-5981	53	35	<	<	X
ejpam-5981	53	36	p	p	X
ejpam-5981	53	37	<	<	X
ejpam-5981	53	38	1	1	NUM
ejpam-5981	53	39	,	,	PUNCT
ejpam-5981	53	40	(	(	PUNCT
ejpam-5981	53	41	6	6	NUM
ejpam-5981	53	42	)	)	PUNCT
ejpam-5981	53	43	or	or	CCONJ
ejpam-5981	53	44	equivalently	equivalently	ADV
ejpam-5981	53	45	:	:	PUNCT
ejpam-5981	53	46	logαe−u	logαe−u	PROPN
ejpam-5981	53	47	+	+	CCONJ
ejpam-5981	53	48	u−	u−	PROPN
ejpam-5981	53	49	log	log	NOUN
ejpam-5981	54	1	[	[	X
ejpam-5981	54	2	α	α	X
ejpam-5981	54	3	(	(	PUNCT
ejpam-5981	54	4	1−	1−	NUM
ejpam-5981	54	5	p	p	NOUN
ejpam-5981	54	6	)	)	PUNCT
ejpam-5981	54	7	]	]	PUNCT
ejpam-5981	54	8	=	=	PUNCT
ejpam-5981	54	9	0	0	NUM
ejpam-5981	54	10	,	,	PUNCT
ejpam-5981	54	11	(	(	PUNCT
ejpam-5981	54	12	7	7	X
ejpam-5981	54	13	)	)	PUNCT
ejpam-5981	54	14	where	where	SCONJ
ejpam-5981	54	15	u	u	PROPN
ejpam-5981	54	16	=	=	PROPN
ejpam-5981	54	17	−θq	−θq	PROPN
ejpam-5981	54	18	.	.	PUNCT
ejpam-5981	54	19	eq.(7	eq.(7	PROPN
ejpam-5981	54	20	)	)	PUNCT
ejpam-5981	54	21	has	have	VERB
ejpam-5981	54	22	an	an	DET
ejpam-5981	54	23	analytical	analytical	ADJ
ejpam-5981	54	24	solution	solution	NOUN
ejpam-5981	54	25	in	in	ADP
ejpam-5981	54	26	terms	term	NOUN
ejpam-5981	54	27	of	of	ADP
ejpam-5981	54	28	the	the	DET
ejpam-5981	54	29	lambert	lambert	PROPN
ejpam-5981	54	30	w	w	PROPN
ejpam-5981	54	31	function	function	PROPN
ejpam-5981	54	32	as	as	SCONJ
ejpam-5981	54	33	follows	follow	VERB
ejpam-5981	54	34	:	:	PUNCT
ejpam-5981	54	35	q(p	q(p	PROPN
ejpam-5981	54	36	)	)	PUNCT
ejpam-5981	54	37	=	=	SYM
ejpam-5981	54	38	1	1	NUM
ejpam-5981	54	39	θ	θ	PROPN
ejpam-5981	54	40	[	[	PUNCT
ejpam-5981	54	41	w	w	NOUN
ejpam-5981	54	42	(	(	PUNCT
ejpam-5981	54	43	−(1−	−(1−	ADP
ejpam-5981	54	44	p	p	NOUN
ejpam-5981	54	45	)	)	PUNCT
ejpam-5981	54	46	α	α	NOUN
ejpam-5981	54	47	logα	logα	NOUN
ejpam-5981	54	48	)	)	PUNCT
ejpam-5981	55	1	+	+	CCONJ
ejpam-5981	55	2	log	log	NOUN
ejpam-5981	55	3	[	[	PUNCT
ejpam-5981	55	4	(	(	PUNCT
ejpam-5981	55	5	1−	1−	NUM
ejpam-5981	55	6	p	p	NOUN
ejpam-5981	55	7	)	)	PUNCT
ejpam-5981	55	8	α	α	NOUN
ejpam-5981	55	9	]	]	X
ejpam-5981	55	10	]	]	X
ejpam-5981	55	11	,	,	PUNCT
ejpam-5981	55	12	0	0	PUNCT
ejpam-5981	55	13	<	<	X
ejpam-5981	55	14	p	p	X
ejpam-5981	55	15	<	<	X
ejpam-5981	55	16	1	1	NUM
ejpam-5981	55	17	(	(	PUNCT
ejpam-5981	55	18	8)	8)	NUM
ejpam-5981	55	19	where	where	SCONJ
ejpam-5981	55	20	w	w	NOUN
ejpam-5981	55	21	(	(	PUNCT
ejpam-5981	55	22	.	.	PUNCT
ejpam-5981	55	23	)	)	PUNCT
ejpam-5981	55	24	is	be	AUX
ejpam-5981	55	25	the	the	DET
ejpam-5981	55	26	lambert	lambert	PROPN
ejpam-5981	55	27	w	w	PROPN
ejpam-5981	55	28	function	function	PROPN
ejpam-5981	55	29	.	.	PUNCT
ejpam-5981	56	1	here	here	ADV
ejpam-5981	56	2	,	,	PUNCT
ejpam-5981	56	3	data	datum	NOUN
ejpam-5981	56	4	from	from	ADP
ejpam-5981	56	5	the	the	DET
ejpam-5981	56	6	α−re	α−re	PROPN
ejpam-5981	56	7	distribution	distribution	NOUN
ejpam-5981	56	8	can	can	AUX
ejpam-5981	56	9	be	be	AUX
ejpam-5981	56	10	obtained	obtain	VERB
ejpam-5981	56	11	by	by	ADP
ejpam-5981	56	12	applying	apply	VERB
ejpam-5981	56	13	its	its	PRON
ejpam-5981	56	14	quantile	quantile	ADJ
ejpam-5981	56	15	function	function	NOUN
ejpam-5981	56	16	to	to	ADP
ejpam-5981	56	17	a	a	DET
ejpam-5981	56	18	sample	sample	NOUN
ejpam-5981	56	19	from	from	ADP
ejpam-5981	56	20	a	a	DET
ejpam-5981	56	21	uniform	uniform	ADJ
ejpam-5981	56	22	distribution	distribution	NOUN
ejpam-5981	56	23	.	.	PUNCT
ejpam-5981	57	1	the	the	DET
ejpam-5981	57	2	median	median	NOUN
ejpam-5981	57	3	of	of	ADP
ejpam-5981	57	4	the	the	DET
ejpam-5981	57	5	α−r	α−r	PROPN
ejpam-5981	57	6	e	e	NOUN
ejpam-5981	57	7	distribution	distribution	NOUN
ejpam-5981	57	8	is	be	AUX
ejpam-5981	57	9	given	give	VERB
ejpam-5981	57	10	by	by	ADP
ejpam-5981	57	11	:	:	PUNCT
ejpam-5981	57	12	median	median	NOUN
ejpam-5981	57	13	=	=	SYM
ejpam-5981	57	14	1	1	NUM
ejpam-5981	57	15	θ	θ	PROPN
ejpam-5981	57	16	[	[	PUNCT
ejpam-5981	57	17	w	w	NOUN
ejpam-5981	57	18	(	(	PUNCT
ejpam-5981	57	19	1	1	NUM
ejpam-5981	57	20	2α	2α	NOUN
ejpam-5981	57	21	log	log	NOUN
ejpam-5981	57	22	(	(	PUNCT
ejpam-5981	57	23	1	1	NUM
ejpam-5981	57	24	α	α	NOUN
ejpam-5981	57	25	)	)	PUNCT
ejpam-5981	58	1	+	+	CCONJ
ejpam-5981	58	2	log	log	NOUN
ejpam-5981	58	3	(	(	PUNCT
ejpam-5981	58	4	1	1	NUM
ejpam-5981	58	5	4α	4α	NOUN
ejpam-5981	58	6	)	)	PUNCT
ejpam-5981	58	7	)	)	PUNCT
ejpam-5981	58	8	]	]	PUNCT
ejpam-5981	58	9	.	.	PUNCT
ejpam-5981	59	1	4.2	4.2	NUM
ejpam-5981	59	2	.	.	PUNCT
ejpam-5981	59	3	moments	moment	NOUN
ejpam-5981	59	4	this	this	DET
ejpam-5981	59	5	subsection	subsection	NOUN
ejpam-5981	59	6	discusses	discuss	VERB
ejpam-5981	59	7	the	the	DET
ejpam-5981	59	8	computation	computation	NOUN
ejpam-5981	59	9	of	of	ADP
ejpam-5981	59	10	the	the	DET
ejpam-5981	59	11	kth	kth	PROPN
ejpam-5981	59	12	moment	moment	NOUN
ejpam-5981	59	13	of	of	ADP
ejpam-5981	59	14	the	the	DET
ejpam-5981	59	15	α	α	NOUN
ejpam-5981	59	16	−	−	NOUN
ejpam-5981	59	17	r	r	NOUN
ejpam-5981	59	18	e	e	NOUN
ejpam-5981	59	19	distribution	distribution	NOUN
ejpam-5981	59	20	.	.	PUNCT
ejpam-5981	60	1	the	the	DET
ejpam-5981	60	2	kth	kth	PROPN
ejpam-5981	60	3	moment	moment	NOUN
ejpam-5981	60	4	about	about	ADP
ejpam-5981	60	5	the	the	DET
ejpam-5981	60	6	origin	origin	NOUN
ejpam-5981	60	7	of	of	ADP
ejpam-5981	60	8	the	the	DET
ejpam-5981	60	9	proposed	propose	VERB
ejpam-5981	60	10	model	model	NOUN
ejpam-5981	60	11	is	be	AUX
ejpam-5981	60	12	derived	derive	VERB
ejpam-5981	60	13	as	as	SCONJ
ejpam-5981	60	14	follows	follow	VERB
ejpam-5981	60	15	:	:	PUNCT
ejpam-5981	61	1	mk	mk	X
ejpam-5981	61	2	=	=	PUNCT
ejpam-5981	61	3	θ	θ	PROPN
ejpam-5981	61	4	∫	∫	PROPN
ejpam-5981	61	5	∞	∞	NUM
ejpam-5981	61	6	0	0	NUM
ejpam-5981	62	1	ykα1−e−θy	ykα1−e−θy	NOUN
ejpam-5981	62	2	(	(	PUNCT
ejpam-5981	62	3	e−θy	e−θy	PROPN
ejpam-5981	62	4	−	−	PROPN
ejpam-5981	62	5	logα×	logα×	PROPN
ejpam-5981	62	6	e−2θy	e−2θy	NOUN
ejpam-5981	62	7	)	)	PUNCT
ejpam-5981	62	8	dy	dy	NOUN
ejpam-5981	62	9	,	,	PUNCT
ejpam-5981	62	10	=	=	SYM
ejpam-5981	62	11	θ	θ	PROPN
ejpam-5981	63	1	[	[	X
ejpam-5981	63	2	∫	∫	X
ejpam-5981	63	3	∞	∞	PROPN
ejpam-5981	63	4	0	0	NUM
ejpam-5981	63	5	α1−e−θy	α1−e−θy	PROPN
ejpam-5981	63	6	e−θyyk	e−θyyk	ADP
ejpam-5981	63	7	dy	dy	NOUN
ejpam-5981	63	8	−	−	PROPN
ejpam-5981	63	9	logα	logα	NOUN
ejpam-5981	63	10	∫	∫	PROPN
ejpam-5981	63	11	∞	∞	PROPN
ejpam-5981	63	12	0	0	PROPN
ejpam-5981	63	13	α1−e−θy	α1−e−θy	PROPN
ejpam-5981	63	14	e−2θyyk	e−2θyyk	PROPN
ejpam-5981	63	15	dy	dy	PROPN
ejpam-5981	63	16	]	]	PUNCT
ejpam-5981	63	17	.	.	PUNCT
ejpam-5981	64	1	(	(	PUNCT
ejpam-5981	64	2	9	9	X
ejpam-5981	64	3	)	)	PUNCT
ejpam-5981	64	4	it	it	PRON
ejpam-5981	64	5	is	be	AUX
ejpam-5981	64	6	known	know	VERB
ejpam-5981	64	7	that	that	SCONJ
ejpam-5981	64	8	the	the	DET
ejpam-5981	64	9	lower	low	ADJ
ejpam-5981	64	10	incomplete	incomplete	ADJ
ejpam-5981	64	11	gamma	gamma	NOUN
ejpam-5981	64	12	function	function	NOUN
ejpam-5981	64	13	is	be	AUX
ejpam-5981	64	14	given	give	VERB
ejpam-5981	64	15	as	as	ADP
ejpam-5981	64	16	:	:	PUNCT
ejpam-5981	64	17	γ(x	γ(x	NOUN
ejpam-5981	64	18	,	,	PUNCT
ejpam-5981	64	19	a	a	PRON
ejpam-5981	64	20	)	)	PUNCT
ejpam-5981	64	21	=	=	SYM
ejpam-5981	65	1	∫	∫	PROPN
ejpam-5981	65	2	x	x	SYM
ejpam-5981	65	3	0	0	NUM
ejpam-5981	65	4	ta−1e−tdt	ta−1e−tdt	PROPN
ejpam-5981	65	5	,	,	PUNCT
ejpam-5981	65	6	consequently	consequently	ADV
ejpam-5981	65	7	,	,	PUNCT
ejpam-5981	65	8	it	it	PRON
ejpam-5981	65	9	can	can	AUX
ejpam-5981	65	10	be	be	AUX
ejpam-5981	65	11	shown	show	VERB
ejpam-5981	65	12	that:∫	that:∫	ADP
ejpam-5981	65	13	1	1	NUM
ejpam-5981	65	14	0	0	NUM
ejpam-5981	65	15	(	(	PUNCT
ejpam-5981	65	16	log	log	VERB
ejpam-5981	65	17	t)kta−1e−t	t)kta−1e−t	NOUN
ejpam-5981	65	18	dt	dt	NOUN
ejpam-5981	66	1	=	=	PUNCT
ejpam-5981	67	1	∂k	∂k	PROPN
ejpam-5981	67	2	∂ak	∂ak	PROPN
ejpam-5981	67	3	γ(1	γ(1	PROPN
ejpam-5981	67	4	,	,	PUNCT
ejpam-5981	67	5	a	a	PRON
ejpam-5981	67	6	)	)	PUNCT
ejpam-5981	67	7	.	.	PUNCT
ejpam-5981	68	1	(	(	PUNCT
ejpam-5981	68	2	10	10	NUM
ejpam-5981	68	3	)	)	PUNCT
ejpam-5981	68	4	thus	thus	ADV
ejpam-5981	68	5	,	,	PUNCT
ejpam-5981	68	6	the	the	DET
ejpam-5981	68	7	first	first	ADJ
ejpam-5981	68	8	integral	integral	ADJ
ejpam-5981	68	9	(	(	PUNCT
ejpam-5981	68	10	i1	i1	PROPN
ejpam-5981	68	11	)	)	PUNCT
ejpam-5981	68	12	in	in	ADP
ejpam-5981	68	13	eq.(9	eq.(9	ADJ
ejpam-5981	68	14	)	)	PUNCT
ejpam-5981	68	15	can	can	AUX
ejpam-5981	68	16	be	be	AUX
ejpam-5981	68	17	handled	handle	VERB
ejpam-5981	68	18	by	by	ADP
ejpam-5981	68	19	letting	let	VERB
ejpam-5981	68	20	t	t	NOUN
ejpam-5981	68	21	=	=	SYM
ejpam-5981	68	22	e−θy	e−θy	PROPN
ejpam-5981	68	23	,	,	PUNCT
ejpam-5981	68	24	so	so	SCONJ
ejpam-5981	68	25	we	we	PRON
ejpam-5981	68	26	get	get	VERB
ejpam-5981	68	27	:	:	PUNCT
ejpam-5981	68	28	i1	i1	PROPN
ejpam-5981	68	29	=	=	PUNCT
ejpam-5981	68	30	(	(	PUNCT
ejpam-5981	68	31	−1)kα	−1)kα	PROPN
ejpam-5981	68	32	(	(	PUNCT
ejpam-5981	68	33	θ)k+1(logα)k+1	θ)k+1(logα)k+1	VERB
ejpam-5981	68	34	∫	∫	PROPN
ejpam-5981	68	35	1	1	NUM
ejpam-5981	68	36	0	0	NUM
ejpam-5981	68	37	(	(	PUNCT
ejpam-5981	68	38	log	log	VERB
ejpam-5981	68	39	t)k	t)k	ADJ
ejpam-5981	68	40	e−t	e−t	NOUN
ejpam-5981	68	41	dt	dt	X
ejpam-5981	69	1	=	=	SYM
ejpam-5981	70	1	(	(	PUNCT
ejpam-5981	70	2	−1)kα	−1)kα	PROPN
ejpam-5981	70	3	(	(	PUNCT
ejpam-5981	70	4	θ	θ	PROPN
ejpam-5981	70	5	logα)k+1	logα)k+1	X
ejpam-5981	70	6	∂k	∂k	PROPN
ejpam-5981	70	7	∂ak	∂ak	PROPN
ejpam-5981	70	8	γ(1	γ(1	PROPN
ejpam-5981	70	9	,	,	PUNCT
ejpam-5981	70	10	a	a	PRON
ejpam-5981	70	11	)	)	PUNCT
ejpam-5981	70	12	∣∣∣	∣∣∣	ADJ
ejpam-5981	70	13	a=1	a=1	X
ejpam-5981	70	14	(	(	PUNCT
ejpam-5981	70	15	11	11	NUM
ejpam-5981	70	16	)	)	PUNCT
ejpam-5981	70	17	m.	m.	NOUN
ejpam-5981	70	18	ahmad	ahmad	PROPN
ejpam-5981	70	19	,	,	PUNCT
ejpam-5981	70	20	m.	m.	NOUN
ejpam-5981	70	21	a.	a.	NOUN
ejpam-5981	70	22	amleh	amleh	PROPN
ejpam-5981	70	23	/	/	SYM
ejpam-5981	70	24	eur	eur	PROPN
ejpam-5981	70	25	.	.	PUNCT
ejpam-5981	71	1	j.	j.	PROPN
ejpam-5981	71	2	pure	pure	PROPN
ejpam-5981	71	3	appl	appl	PROPN
ejpam-5981	71	4	.	.	PROPN
ejpam-5981	71	5	math	math	PROPN
ejpam-5981	71	6	,	,	PUNCT
ejpam-5981	71	7	18	18	NUM
ejpam-5981	71	8	(	(	PUNCT
ejpam-5981	71	9	2	2	NUM
ejpam-5981	71	10	)	)	PUNCT
ejpam-5981	71	11	(	(	PUNCT
ejpam-5981	71	12	2025	2025	NUM
ejpam-5981	71	13	)	)	PUNCT
ejpam-5981	71	14	,	,	PUNCT
ejpam-5981	71	15	5981	5981	NUM
ejpam-5981	71	16	6	6	NUM
ejpam-5981	71	17	of	of	ADP
ejpam-5981	71	18	16	16	NUM
ejpam-5981	71	19	similarly	similarly	ADV
ejpam-5981	71	20	,	,	PUNCT
ejpam-5981	71	21	the	the	DET
ejpam-5981	71	22	second	second	ADJ
ejpam-5981	71	23	integral	integral	ADJ
ejpam-5981	71	24	(	(	PUNCT
ejpam-5981	71	25	i2	i2	NOUN
ejpam-5981	71	26	)	)	PUNCT
ejpam-5981	71	27	in	in	ADP
ejpam-5981	71	28	eq.(9	eq.(9	ADJ
ejpam-5981	71	29	)	)	PUNCT
ejpam-5981	71	30	can	can	AUX
ejpam-5981	71	31	be	be	AUX
ejpam-5981	71	32	expressed	express	VERB
ejpam-5981	71	33	as	as	ADP
ejpam-5981	71	34	:	:	PUNCT
ejpam-5981	71	35	i2	i2	PROPN
ejpam-5981	71	36	=	=	SYM
ejpam-5981	71	37	(	(	PUNCT
ejpam-5981	71	38	−1)kα	−1)kα	PROPN
ejpam-5981	71	39	(	(	PUNCT
ejpam-5981	71	40	θ	θ	PROPN
ejpam-5981	71	41	logα)k+1	logα)k+1	X
ejpam-5981	71	42	∫	∫	PROPN
ejpam-5981	71	43	1	1	NUM
ejpam-5981	71	44	0	0	NUM
ejpam-5981	71	45	t(log	t(log	PROPN
ejpam-5981	71	46	t)ke−t	t)ke−t	PROPN
ejpam-5981	71	47	dt	dt	PROPN
ejpam-5981	71	48	i2	i2	PROPN
ejpam-5981	71	49	=	=	SYM
ejpam-5981	71	50	(	(	PUNCT
ejpam-5981	71	51	−1)kα	−1)kα	PROPN
ejpam-5981	71	52	(	(	PUNCT
ejpam-5981	71	53	θ	θ	PROPN
ejpam-5981	71	54	logα)k+1	logα)k+1	X
ejpam-5981	72	1	∂k	∂k	PROPN
ejpam-5981	72	2	∂ak	∂ak	PROPN
ejpam-5981	72	3	γ(1	γ(1	PROPN
ejpam-5981	72	4	,	,	PUNCT
ejpam-5981	72	5	a	a	PRON
ejpam-5981	72	6	)	)	PUNCT
ejpam-5981	72	7	∣∣∣	∣∣∣	NOUN
ejpam-5981	72	8	a=2	a=2	PROPN
ejpam-5981	72	9	(	(	PUNCT
ejpam-5981	72	10	12	12	NUM
ejpam-5981	72	11	)	)	PUNCT
ejpam-5981	72	12	hence	hence	ADV
ejpam-5981	72	13	,	,	PUNCT
ejpam-5981	72	14	using	use	VERB
ejpam-5981	72	15	eq.s	eq.s	PROPN
ejpam-5981	73	1	(	(	PUNCT
ejpam-5981	73	2	11	11	NUM
ejpam-5981	73	3	)	)	PUNCT
ejpam-5981	73	4	and	and	CCONJ
ejpam-5981	73	5	(	(	PUNCT
ejpam-5981	73	6	12	12	NUM
ejpam-5981	73	7	)	)	PUNCT
ejpam-5981	73	8	the	the	DET
ejpam-5981	73	9	kth	kth	PROPN
ejpam-5981	73	10	moment	moment	NOUN
ejpam-5981	73	11	of	of	ADP
ejpam-5981	73	12	the	the	DET
ejpam-5981	73	13	α	α	NOUN
ejpam-5981	73	14	−	−	NOUN
ejpam-5981	73	15	re	re	ADP
ejpam-5981	73	16	distribution	distribution	NOUN
ejpam-5981	73	17	is	be	AUX
ejpam-5981	73	18	given	give	VERB
ejpam-5981	73	19	by	by	ADP
ejpam-5981	73	20	:	:	PUNCT
ejpam-5981	73	21	mk	mk	X
ejpam-5981	73	22	=	=	SYM
ejpam-5981	73	23	(	(	PUNCT
ejpam-5981	73	24	−1)kα	−1)kα	PROPN
ejpam-5981	73	25	θk(logα)k+1	θk(logα)k+1	PROPN
ejpam-5981	73	26	[	[	PUNCT
ejpam-5981	73	27	∂k	∂k	PROPN
ejpam-5981	73	28	∂ak	∂ak	PROPN
ejpam-5981	73	29	γ(1	γ(1	PROPN
ejpam-5981	73	30	,	,	PUNCT
ejpam-5981	73	31	a	a	PRON
ejpam-5981	73	32	)	)	PUNCT
ejpam-5981	73	33	∣∣∣	∣∣∣	ADJ
ejpam-5981	73	34	a=1	a=1	X
ejpam-5981	73	35	−	−	PROPN
ejpam-5981	73	36	(	(	PUNCT
ejpam-5981	73	37	logα	logα	NOUN
ejpam-5981	73	38	)	)	PUNCT
ejpam-5981	74	1	∂k	∂k	PROPN
ejpam-5981	74	2	∂ak	∂ak	PROPN
ejpam-5981	74	3	γ(1	γ(1	PROPN
ejpam-5981	74	4	,	,	PUNCT
ejpam-5981	74	5	a	a	PRON
ejpam-5981	74	6	)	)	PUNCT
ejpam-5981	74	7	∣∣∣	∣∣∣	NOUN
ejpam-5981	75	1	a=2	a=2	X
ejpam-5981	75	2	]	]	PUNCT
ejpam-5981	75	3	(	(	PUNCT
ejpam-5981	75	4	13	13	NUM
ejpam-5981	75	5	)	)	PUNCT
ejpam-5981	75	6	therefore	therefore	ADV
ejpam-5981	75	7	,	,	PUNCT
ejpam-5981	75	8	the	the	DET
ejpam-5981	75	9	mean	mean	NOUN
ejpam-5981	75	10	of	of	ADP
ejpam-5981	75	11	the	the	DET
ejpam-5981	75	12	α−re	α−re	PROPN
ejpam-5981	75	13	distribution	distribution	NOUN
ejpam-5981	75	14	is	be	AUX
ejpam-5981	75	15	given	give	VERB
ejpam-5981	75	16	by	by	ADP
ejpam-5981	75	17	:	:	PUNCT
ejpam-5981	75	18	e(y	e(y	ADJ
ejpam-5981	75	19	)	)	PUNCT
ejpam-5981	75	20	=	=	SYM
ejpam-5981	75	21	(	(	PUNCT
ejpam-5981	75	22	−1)kα	−1)kα	PROPN
ejpam-5981	75	23	θ	θ	PROPN
ejpam-5981	75	24	[	[	PUNCT
ejpam-5981	75	25	1	1	NUM
ejpam-5981	75	26	(	(	PUNCT
ejpam-5981	75	27	logα)2	logα)2	NOUN
ejpam-5981	75	28	∂	∂	NOUN
ejpam-5981	76	1	∂a	∂a	PROPN
ejpam-5981	76	2	γ(1	γ(1	PROPN
ejpam-5981	76	3	,	,	PUNCT
ejpam-5981	76	4	a	a	PRON
ejpam-5981	76	5	)	)	PUNCT
ejpam-5981	76	6	∣∣∣	∣∣∣	ADJ
ejpam-5981	76	7	a=1	a=1	PUNCT
ejpam-5981	76	8	−	−	PROPN
ejpam-5981	76	9	1	1	NUM
ejpam-5981	76	10	logα	logα	NOUN
ejpam-5981	76	11	∂	∂	NOUN
ejpam-5981	76	12	∂a	∂a	PROPN
ejpam-5981	77	1	γ(1	γ(1	PROPN
ejpam-5981	77	2	,	,	PUNCT
ejpam-5981	77	3	a	a	PRON
ejpam-5981	77	4	)	)	PUNCT
ejpam-5981	77	5	∣∣∣	∣∣∣	NOUN
ejpam-5981	77	6	a=2	a=2	X
ejpam-5981	77	7	]	]	PUNCT
ejpam-5981	77	8	(	(	PUNCT
ejpam-5981	77	9	14	14	NUM
ejpam-5981	77	10	)	)	PUNCT
ejpam-5981	77	11	4.3	4.3	NUM
ejpam-5981	77	12	.	.	PUNCT
ejpam-5981	78	1	moment	moment	NOUN
ejpam-5981	78	2	generating	generate	VERB
ejpam-5981	78	3	function	function	NOUN
ejpam-5981	78	4	the	the	DET
ejpam-5981	78	5	moment	moment	NOUN
ejpam-5981	78	6	generating	generate	VERB
ejpam-5981	78	7	function	function	NOUN
ejpam-5981	78	8	(	(	PUNCT
ejpam-5981	78	9	mgf	mgf	PROPN
ejpam-5981	78	10	)	)	PUNCT
ejpam-5981	78	11	of	of	ADP
ejpam-5981	78	12	y	y	PROPN
ejpam-5981	78	13	∼	∼	VERB
ejpam-5981	78	14	α−re(α	α−re(α	ADP
ejpam-5981	78	15	,	,	PUNCT
ejpam-5981	78	16	θ	θ	NOUN
ejpam-5981	78	17	)	)	PUNCT
ejpam-5981	78	18	is	be	AUX
ejpam-5981	78	19	obtained	obtain	VERB
ejpam-5981	78	20	as	as	ADP
ejpam-5981	78	21	:	:	PUNCT
ejpam-5981	78	22	m(t	m(t	NOUN
ejpam-5981	78	23	)	)	PUNCT
ejpam-5981	78	24	=	=	SYM
ejpam-5981	78	25	e(ety	e(ety	NOUN
ejpam-5981	78	26	)	)	PUNCT
ejpam-5981	79	1	=	=	PUNCT
ejpam-5981	80	1	θ	θ	X
ejpam-5981	80	2	∫	∫	PROPN
ejpam-5981	80	3	∞	∞	NUM
ejpam-5981	80	4	0	0	NUM
ejpam-5981	80	5	etyα1−e−θy	etyα1−e−θy	PROPN
ejpam-5981	81	1	(	(	PUNCT
ejpam-5981	81	2	e−θy	e−θy	PROPN
ejpam-5981	81	3	−	−	PROPN
ejpam-5981	81	4	logα×	logα×	PROPN
ejpam-5981	81	5	e−2θy	e−2θy	NOUN
ejpam-5981	81	6	)	)	PUNCT
ejpam-5981	81	7	dy	dy	NOUN
ejpam-5981	81	8	by	by	ADP
ejpam-5981	81	9	letting	let	VERB
ejpam-5981	81	10	u	u	PRON
ejpam-5981	81	11	=	=	NOUN
ejpam-5981	81	12	e−θy	e−θy	PROPN
ejpam-5981	81	13	,	,	PUNCT
ejpam-5981	81	14	we	we	PRON
ejpam-5981	81	15	have	have	VERB
ejpam-5981	81	16	:	:	PUNCT
ejpam-5981	81	17	m(t	m(t	X
ejpam-5981	81	18	)	)	PUNCT
ejpam-5981	82	1	=	=	PUNCT
ejpam-5981	82	2	α	α	SYM
ejpam-5981	82	3			NOUN
ejpam-5981	82	4	∫	∫	PROPN
ejpam-5981	82	5	1	1	NUM
ejpam-5981	82	6	0	0	NUM
ejpam-5981	82	7	u−	u−	PROPN
ejpam-5981	82	8	t	t	NOUN
ejpam-5981	82	9	θα−udu︸	θα−udu︸	VERB
ejpam-5981	82	10	︷︷	︷︷	PROPN
ejpam-5981	82	11	︸	︸	ADP
ejpam-5981	82	12	i1	i1	PROPN
ejpam-5981	82	13	−	−	PROPN
ejpam-5981	82	14	logα	logα	NOUN
ejpam-5981	82	15	∫	∫	NOUN
ejpam-5981	82	16	1	1	NUM
ejpam-5981	82	17	0	0	NUM
ejpam-5981	82	18	u1−	u1−	PROPN
ejpam-5981	83	1	t	t	PROPN
ejpam-5981	83	2	θα−udu︸	θα−udu︸	VERB
ejpam-5981	83	3	︷︷	︷︷	PROPN
ejpam-5981	83	4	︸	︸	ADP
ejpam-5981	83	5	i2	i2	PROPN
ejpam-5981	83	6			PROPN
ejpam-5981	83	7	i1	i1	PROPN
ejpam-5981	83	8	=	=	PUNCT
ejpam-5981	83	9	1	1	NUM
ejpam-5981	83	10	(	(	PUNCT
ejpam-5981	83	11	logα)1−	logα)1−	PROPN
ejpam-5981	83	12	t	t	PROPN
ejpam-5981	83	13	θ	θ	PROPN
ejpam-5981	83	14	γ(logα	γ(logα	VERB
ejpam-5981	83	15	,	,	PUNCT
ejpam-5981	83	16	1−	1−	NUM
ejpam-5981	83	17	t	t	PROPN
ejpam-5981	83	18	θ	θ	PROPN
ejpam-5981	83	19	)	)	PUNCT
ejpam-5981	83	20	i2	i2	PROPN
ejpam-5981	83	21	=	=	SYM
ejpam-5981	83	22	1	1	NUM
ejpam-5981	83	23	(	(	PUNCT
ejpam-5981	83	24	logα)1−	logα)1−	PROPN
ejpam-5981	83	25	t	t	PROPN
ejpam-5981	83	26	θ	θ	PROPN
ejpam-5981	83	27	∫	∫	PROPN
ejpam-5981	84	1	logα	logα	NOUN
ejpam-5981	84	2	0	0	NUM
ejpam-5981	85	1	u1−	u1−	PROPN
ejpam-5981	85	2	t	t	PROPN
ejpam-5981	85	3	θ	θ	PROPN
ejpam-5981	85	4	e−udu	e−udu	NOUN
ejpam-5981	85	5	=	=	SYM
ejpam-5981	85	6	1	1	NUM
ejpam-5981	85	7	(	(	PUNCT
ejpam-5981	85	8	logα)1−	logα)1−	PROPN
ejpam-5981	85	9	t	t	PROPN
ejpam-5981	85	10	θ	θ	PROPN
ejpam-5981	85	11	γ(logα	γ(logα	VERB
ejpam-5981	85	12	,	,	PUNCT
ejpam-5981	85	13	2−	2−	NUM
ejpam-5981	85	14	t	t	NOUN
ejpam-5981	85	15	θ	θ	PROPN
ejpam-5981	85	16	)	)	PUNCT
ejpam-5981	85	17	accordingly	accordingly	ADV
ejpam-5981	85	18	,	,	PUNCT
ejpam-5981	85	19	the	the	DET
ejpam-5981	85	20	mgf	mgf	PROPN
ejpam-5981	85	21	of	of	ADP
ejpam-5981	85	22	the	the	DET
ejpam-5981	85	23	α−r	α−r	PROPN
ejpam-5981	85	24	e	e	NOUN
ejpam-5981	85	25	distribution	distribution	NOUN
ejpam-5981	85	26	is	be	AUX
ejpam-5981	85	27	given	give	VERB
ejpam-5981	85	28	by	by	ADP
ejpam-5981	85	29	:	:	PUNCT
ejpam-5981	85	30	m.	m.	PROPN
ejpam-5981	85	31	ahmad	ahmad	PROPN
ejpam-5981	85	32	,	,	PUNCT
ejpam-5981	85	33	m.	m.	NOUN
ejpam-5981	85	34	a.	a.	NOUN
ejpam-5981	85	35	amleh	amleh	PROPN
ejpam-5981	85	36	/	/	SYM
ejpam-5981	85	37	eur	eur	PROPN
ejpam-5981	85	38	.	.	PUNCT
ejpam-5981	86	1	j.	j.	PROPN
ejpam-5981	86	2	pure	pure	PROPN
ejpam-5981	86	3	appl	appl	PROPN
ejpam-5981	86	4	.	.	PROPN
ejpam-5981	86	5	math	math	PROPN
ejpam-5981	86	6	,	,	PUNCT
ejpam-5981	86	7	18	18	NUM
ejpam-5981	86	8	(	(	PUNCT
ejpam-5981	86	9	2	2	NUM
ejpam-5981	86	10	)	)	PUNCT
ejpam-5981	86	11	(	(	PUNCT
ejpam-5981	86	12	2025	2025	NUM
ejpam-5981	86	13	)	)	PUNCT
ejpam-5981	86	14	,	,	PUNCT
ejpam-5981	86	15	5981	5981	NUM
ejpam-5981	86	16	7	7	NUM
ejpam-5981	86	17	of	of	ADP
ejpam-5981	86	18	16	16	NUM
ejpam-5981	86	19	m(t	m(t	NOUN
ejpam-5981	86	20	)	)	PUNCT
ejpam-5981	87	1	=	=	SYM
ejpam-5981	87	2	α	α	PROPN
ejpam-5981	87	3	(	(	PUNCT
ejpam-5981	87	4	logα)1−	logα)1−	PROPN
ejpam-5981	87	5	t	t	PROPN
ejpam-5981	87	6	θ	θ	PROPN
ejpam-5981	87	7	γ(logα	γ(logα	VERB
ejpam-5981	87	8	,	,	PUNCT
ejpam-5981	87	9	1−	1−	NUM
ejpam-5981	87	10	t	t	NOUN
ejpam-5981	87	11	θ	θ	PROPN
ejpam-5981	87	12	)	)	PUNCT
ejpam-5981	88	1	−	−	PROPN
ejpam-5981	88	2	(	(	PUNCT
ejpam-5981	88	3	logα	logα	PROPN
ejpam-5981	88	4	)	)	PUNCT
ejpam-5981	88	5	t	t	PROPN
ejpam-5981	88	6	θ	θ	NOUN
ejpam-5981	88	7	γ(logα	γ(logα	NOUN
ejpam-5981	88	8	,	,	PUNCT
ejpam-5981	88	9	2−	2−	NUM
ejpam-5981	88	10	t	t	NOUN
ejpam-5981	88	11	θ	θ	PROPN
ejpam-5981	88	12	)	)	PUNCT
ejpam-5981	88	13	(	(	PUNCT
ejpam-5981	88	14	15	15	NUM
ejpam-5981	88	15	)	)	PUNCT
ejpam-5981	88	16	4.4	4.4	NUM
ejpam-5981	88	17	.	.	PUNCT
ejpam-5981	89	1	maximum	maximum	ADJ
ejpam-5981	89	2	likelihood	likelihood	NOUN
ejpam-5981	89	3	estimation	estimation	NOUN
ejpam-5981	89	4	the	the	DET
ejpam-5981	89	5	foremost	foremost	ADJ
ejpam-5981	89	6	method	method	NOUN
ejpam-5981	89	7	and	and	CCONJ
ejpam-5981	89	8	extensively	extensively	ADV
ejpam-5981	89	9	utilized	utilize	VERB
ejpam-5981	89	10	technique	technique	NOUN
ejpam-5981	89	11	for	for	ADP
ejpam-5981	89	12	the	the	DET
ejpam-5981	89	13	purpose	purpose	NOUN
ejpam-5981	89	14	of	of	ADP
ejpam-5981	89	15	estimating	estimate	VERB
ejpam-5981	89	16	parameters	parameter	NOUN
ejpam-5981	89	17	is	be	AUX
ejpam-5981	89	18	the	the	DET
ejpam-5981	89	19	maximum	maximum	ADJ
ejpam-5981	89	20	likelihood	likelihood	NOUN
ejpam-5981	89	21	method	method	NOUN
ejpam-5981	89	22	.	.	PUNCT
ejpam-5981	90	1	in	in	ADP
ejpam-5981	90	2	this	this	DET
ejpam-5981	90	3	subsection	subsection	NOUN
ejpam-5981	90	4	,	,	PUNCT
ejpam-5981	90	5	we	we	PRON
ejpam-5981	90	6	utilize	utilize	VERB
ejpam-5981	90	7	the	the	DET
ejpam-5981	90	8	employment	employment	NOUN
ejpam-5981	90	9	of	of	ADP
ejpam-5981	90	10	the	the	DET
ejpam-5981	90	11	maximum	maximum	ADJ
ejpam-5981	90	12	likelihood	likelihood	NOUN
ejpam-5981	90	13	method	method	NOUN
ejpam-5981	90	14	to	to	PART
ejpam-5981	90	15	estimate	estimate	VERB
ejpam-5981	90	16	the	the	DET
ejpam-5981	90	17	parameters	parameter	NOUN
ejpam-5981	90	18	of	of	ADP
ejpam-5981	90	19	the	the	DET
ejpam-5981	90	20	α	α	NOUN
ejpam-5981	90	21	−	−	NOUN
ejpam-5981	90	22	re	re	NOUN
ejpam-5981	90	23	distribution	distribution	NOUN
ejpam-5981	90	24	.	.	PUNCT
ejpam-5981	91	1	assume	assume	VERB
ejpam-5981	91	2	that	that	SCONJ
ejpam-5981	91	3	y1	y1	NOUN
ejpam-5981	91	4	,	,	PUNCT
ejpam-5981	91	5	y2	y2	PROPN
ejpam-5981	91	6	,	,	PUNCT
ejpam-5981	91	7	....	....	PUNCT
ejpam-5981	91	8	,	,	PUNCT
ejpam-5981	91	9	yn	yn	PROPN
ejpam-5981	91	10	is	be	AUX
ejpam-5981	91	11	a	a	DET
ejpam-5981	91	12	random	random	ADJ
ejpam-5981	91	13	sample	sample	NOUN
ejpam-5981	91	14	from	from	ADP
ejpam-5981	91	15	α	α	PRON
ejpam-5981	91	16	−	−	NOUN
ejpam-5981	91	17	re	re	NOUN
ejpam-5981	91	18	distribution	distribution	NOUN
ejpam-5981	91	19	,	,	PUNCT
ejpam-5981	91	20	the	the	DET
ejpam-5981	91	21	corresponding	corresponding	ADJ
ejpam-5981	91	22	likelihood	likelihood	NOUN
ejpam-5981	91	23	function	function	NOUN
ejpam-5981	91	24	is	be	AUX
ejpam-5981	91	25	:	:	PUNCT
ejpam-5981	91	26	l(α	l(α	PROPN
ejpam-5981	91	27	,	,	PUNCT
ejpam-5981	91	28	θ	θ	PROPN
ejpam-5981	91	29	,	,	PUNCT
ejpam-5981	91	30	yi	yi	NOUN
ejpam-5981	91	31	)	)	PUNCT
ejpam-5981	92	1	=	=	SYM
ejpam-5981	92	2	θn	θn	ADP
ejpam-5981	92	3	αn−	αn−	PROPN
ejpam-5981	92	4	∑n	∑n	PROPN
ejpam-5981	92	5	i=1	i=1	PROPN
ejpam-5981	92	6	e	e	PROPN
ejpam-5981	92	7	−θyi	−θyi	NOUN
ejpam-5981	92	8	·	·	PUNCT
ejpam-5981	93	1	n∏	n∏	NOUN
ejpam-5981	93	2	i=1	i=1	PROPN
ejpam-5981	93	3	(	(	PUNCT
ejpam-5981	93	4	e−θyi	e−θyi	NOUN
ejpam-5981	93	5	−	−	PROPN
ejpam-5981	93	6	logα×	logα×	PROPN
ejpam-5981	93	7	e−2θyi	e−2θyi	NOUN
ejpam-5981	93	8	)	)	PUNCT
ejpam-5981	93	9	(	(	PUNCT
ejpam-5981	93	10	16	16	NUM
ejpam-5981	93	11	)	)	PUNCT
ejpam-5981	93	12	the	the	DET
ejpam-5981	93	13	log	log	NOUN
ejpam-5981	93	14	-	-	PUNCT
ejpam-5981	93	15	likelihood	likelihood	NOUN
ejpam-5981	93	16	function	function	NOUN
ejpam-5981	93	17	is	be	AUX
ejpam-5981	93	18	given	give	VERB
ejpam-5981	93	19	by	by	ADP
ejpam-5981	93	20	:	:	PUNCT
ejpam-5981	93	21	l(α	l(α	PROPN
ejpam-5981	93	22	,	,	PUNCT
ejpam-5981	93	23	θ	θ	PROPN
ejpam-5981	93	24	,	,	PUNCT
ejpam-5981	93	25	yi	yi	NOUN
ejpam-5981	93	26	)	)	PUNCT
ejpam-5981	93	27	=	=	SYM
ejpam-5981	94	1	n	n	CCONJ
ejpam-5981	94	2	log	log	VERB
ejpam-5981	94	3	θ	θ	PROPN
ejpam-5981	94	4	+	+	CCONJ
ejpam-5981	94	5	(	(	PUNCT
ejpam-5981	94	6	n−	n−	NOUN
ejpam-5981	94	7	n∑	n∑	NOUN
ejpam-5981	94	8	i=1	i=1	PROPN
ejpam-5981	94	9	e−θyi	e−θyi	NOUN
ejpam-5981	94	10	)	)	PUNCT
ejpam-5981	95	1	logα+	logα+	X
ejpam-5981	95	2	n∑	n∑	PROPN
ejpam-5981	96	1	i=1	i=1	PROPN
ejpam-5981	96	2	log	log	NOUN
ejpam-5981	96	3	(	(	PUNCT
ejpam-5981	96	4	e−θyi	e−θyi	NOUN
ejpam-5981	96	5	−	−	PROPN
ejpam-5981	96	6	logα×	logα×	PROPN
ejpam-5981	96	7	e−2θyi	e−2θyi	NOUN
ejpam-5981	96	8	)	)	PUNCT
ejpam-5981	96	9	(	(	PUNCT
ejpam-5981	96	10	17	17	NUM
ejpam-5981	96	11	)	)	PUNCT
ejpam-5981	96	12	in	in	ADP
ejpam-5981	96	13	order	order	NOUN
ejpam-5981	96	14	to	to	PART
ejpam-5981	96	15	obtain	obtain	VERB
ejpam-5981	96	16	the	the	DET
ejpam-5981	96	17	maximum	maximum	ADJ
ejpam-5981	96	18	likelihood	likelihood	NOUN
ejpam-5981	96	19	estimators	estimator	NOUN
ejpam-5981	96	20	(	(	PUNCT
ejpam-5981	96	21	mles	mle	NOUN
ejpam-5981	96	22	)	)	PUNCT
ejpam-5981	96	23	of	of	ADP
ejpam-5981	96	24	α	α	PROPN
ejpam-5981	96	25	and	and	CCONJ
ejpam-5981	96	26	θ	θ	PROPN
ejpam-5981	96	27	,	,	PUNCT
ejpam-5981	96	28	the	the	DET
ejpam-5981	96	29	partial	partial	ADJ
ejpam-5981	96	30	derivatives	derivative	NOUN
ejpam-5981	96	31	of	of	ADP
ejpam-5981	96	32	l	l	NOUN
ejpam-5981	96	33	in	in	ADP
ejpam-5981	96	34	eq.(17	eq.(17	NOUN
ejpam-5981	96	35	)	)	PUNCT
ejpam-5981	96	36	are	be	AUX
ejpam-5981	96	37	provided	provide	VERB
ejpam-5981	96	38	:	:	PUNCT
ejpam-5981	97	1	∂l	∂l	PROPN
ejpam-5981	97	2	∂α	∂α	NOUN
ejpam-5981	97	3	=	=	PUNCT
ejpam-5981	98	1	(	(	PUNCT
ejpam-5981	98	2	n−	n−	NOUN
ejpam-5981	98	3	∑n	∑n	PROPN
ejpam-5981	98	4	i=1	i=1	PROPN
ejpam-5981	98	5	e	e	PROPN
ejpam-5981	98	6	−θyi	−θyi	NOUN
ejpam-5981	98	7	)	)	PUNCT
ejpam-5981	99	1	α	α	PROPN
ejpam-5981	100	1	+	+	X
ejpam-5981	100	2	n∑	n∑	ADJ
ejpam-5981	100	3	i=1	i=1	PROPN
ejpam-5981	100	4	e−2θyi	e−2θyi	VERB
ejpam-5981	100	5	α	α	INTJ
ejpam-5981	100	6	(	(	PUNCT
ejpam-5981	100	7	e−θyi	e−θyi	NOUN
ejpam-5981	100	8	−	−	PROPN
ejpam-5981	100	9	logα×	logα×	PROPN
ejpam-5981	100	10	e−2θyi	e−2θyi	NOUN
ejpam-5981	100	11	)	)	PUNCT
ejpam-5981	100	12	(	(	PUNCT
ejpam-5981	100	13	18	18	NUM
ejpam-5981	100	14	)	)	PUNCT
ejpam-5981	100	15	∂l	∂l	NOUN
ejpam-5981	101	1	∂θ	∂θ	NOUN
ejpam-5981	102	1	=	=	PUNCT
ejpam-5981	102	2	n	n	NUM
ejpam-5981	102	3	θ	θ	NOUN
ejpam-5981	102	4	+	+	CCONJ
ejpam-5981	102	5	logα	logα	NOUN
ejpam-5981	103	1	n∑	n∑	NOUN
ejpam-5981	103	2	i=1	i=1	PROPN
ejpam-5981	104	1	yie	yie	PROPN
ejpam-5981	104	2	−θyi	−θyi	NOUN
ejpam-5981	105	1	+	+	CCONJ
ejpam-5981	105	2	n∑	n∑	X
ejpam-5981	105	3	i=1	i=1	PROPN
ejpam-5981	105	4	−yie	−yie	NOUN
ejpam-5981	105	5	−θyi	−θyi	VERB
ejpam-5981	106	1	+	+	NOUN
ejpam-5981	106	2	2	2	NUM
ejpam-5981	106	3	logα	logα	NOUN
ejpam-5981	106	4	yie	yie	NOUN
ejpam-5981	106	5	−2θyi	−2θyi	VERB
ejpam-5981	106	6	e−θyi	e−θyi	NOUN
ejpam-5981	106	7	−	−	PROPN
ejpam-5981	106	8	logα×	logα×	PROPN
ejpam-5981	106	9	e−2θyi	e−2θyi	NOUN
ejpam-5981	106	10	(	(	PUNCT
ejpam-5981	106	11	19	19	NUM
ejpam-5981	106	12	)	)	PUNCT
ejpam-5981	106	13	by	by	ADP
ejpam-5981	106	14	equating	equate	VERB
ejpam-5981	106	15	the	the	DET
ejpam-5981	106	16	non	non	ADJ
ejpam-5981	106	17	-	-	ADJ
ejpam-5981	106	18	linear	linear	ADJ
ejpam-5981	106	19	eq.s	eq.s	NOUN
ejpam-5981	106	20	(	(	PUNCT
ejpam-5981	106	21	18	18	NUM
ejpam-5981	106	22	)	)	PUNCT
ejpam-5981	106	23	and	and	CCONJ
ejpam-5981	106	24	(	(	PUNCT
ejpam-5981	106	25	19	19	NUM
ejpam-5981	106	26	)	)	PUNCT
ejpam-5981	106	27	to	to	ADP
ejpam-5981	106	28	zero	zero	NUM
ejpam-5981	106	29	and	and	CCONJ
ejpam-5981	106	30	solving	solve	VERB
ejpam-5981	106	31	subsequently	subsequently	ADV
ejpam-5981	106	32	,	,	PUNCT
ejpam-5981	106	33	we	we	PRON
ejpam-5981	106	34	obtain	obtain	VERB
ejpam-5981	106	35	the	the	DET
ejpam-5981	106	36	mles	mle	NOUN
ejpam-5981	106	37	of	of	ADP
ejpam-5981	106	38	α	α	PROPN
ejpam-5981	106	39	and	and	CCONJ
ejpam-5981	106	40	θ	θ	PROPN
ejpam-5981	106	41	.	.	PUNCT
ejpam-5981	107	1	in	in	ADP
ejpam-5981	107	2	fact	fact	NOUN
ejpam-5981	107	3	,	,	PUNCT
ejpam-5981	107	4	numerical	numerical	ADJ
ejpam-5981	107	5	solutions	solution	NOUN
ejpam-5981	107	6	are	be	AUX
ejpam-5981	107	7	required	require	VERB
ejpam-5981	107	8	to	to	PART
ejpam-5981	107	9	find	find	VERB
ejpam-5981	107	10	out	out	ADP
ejpam-5981	107	11	such	such	ADJ
ejpam-5981	107	12	mles	mle	NOUN
ejpam-5981	107	13	.	.	PUNCT
ejpam-5981	108	1	newton	newton	PROPN
ejpam-5981	108	2	-	-	PUNCT
ejpam-5981	108	3	raphson	raphson	PROPN
ejpam-5981	108	4	method	method	NOUN
ejpam-5981	108	5	via	via	ADP
ejpam-5981	108	6	r	r	NOUN
ejpam-5981	108	7	software	software	NOUN
ejpam-5981	108	8	can	can	AUX
ejpam-5981	108	9	be	be	AUX
ejpam-5981	108	10	applied	apply	VERB
ejpam-5981	108	11	in	in	ADP
ejpam-5981	108	12	this	this	DET
ejpam-5981	108	13	context	context	NOUN
ejpam-5981	108	14	.	.	PUNCT
ejpam-5981	109	1	5	5	X
ejpam-5981	109	2	.	.	X
ejpam-5981	109	3	simulation	simulation	NOUN
ejpam-5981	109	4	experiment	experiment	NOUN
ejpam-5981	109	5	in	in	ADP
ejpam-5981	109	6	this	this	DET
ejpam-5981	109	7	section	section	NOUN
ejpam-5981	109	8	,	,	PUNCT
ejpam-5981	109	9	a	a	DET
ejpam-5981	109	10	simulation	simulation	NOUN
ejpam-5981	109	11	experiment	experiment	NOUN
ejpam-5981	109	12	is	be	AUX
ejpam-5981	109	13	performed	perform	VERB
ejpam-5981	109	14	to	to	PART
ejpam-5981	109	15	assess	assess	VERB
ejpam-5981	109	16	the	the	DET
ejpam-5981	109	17	efficiency	efficiency	NOUN
ejpam-5981	109	18	and	and	CCONJ
ejpam-5981	109	19	precision	precision	NOUN
ejpam-5981	109	20	of	of	ADP
ejpam-5981	109	21	the	the	DET
ejpam-5981	109	22	mles	mle	NOUN
ejpam-5981	109	23	of	of	ADP
ejpam-5981	109	24	the	the	DET
ejpam-5981	109	25	parameters	parameter	NOUN
ejpam-5981	109	26	θ	θ	PROPN
ejpam-5981	109	27	and	and	CCONJ
ejpam-5981	109	28	α	α	NOUN
ejpam-5981	109	29	of	of	ADP
ejpam-5981	109	30	the	the	DET
ejpam-5981	109	31	α−re	α−re	PROPN
ejpam-5981	109	32	distribution	distribution	NOUN
ejpam-5981	109	33	.	.	PUNCT
ejpam-5981	110	1	first	first	ADV
ejpam-5981	110	2	,	,	PUNCT
ejpam-5981	110	3	we	we	PRON
ejpam-5981	110	4	generate	generate	VERB
ejpam-5981	110	5	a	a	DET
ejpam-5981	110	6	random	random	ADJ
ejpam-5981	110	7	sample	sample	NOUN
ejpam-5981	110	8	y1	y1	NOUN
ejpam-5981	110	9	,	,	PUNCT
ejpam-5981	110	10	y2	y2	INTJ
ejpam-5981	110	11	,	,	PUNCT
ejpam-5981	110	12	.	.	PUNCT
ejpam-5981	110	13	.	.	PUNCT
ejpam-5981	111	1	.	.	PUNCT
ejpam-5981	112	1	,	,	PUNCT
ejpam-5981	112	2	yn	yn	PROPN
ejpam-5981	112	3	from	from	ADP
ejpam-5981	112	4	α−re	α−re	PROPN
ejpam-5981	112	5	distribution	distribution	NOUN
ejpam-5981	112	6	.	.	PUNCT
ejpam-5981	113	1	using	use	VERB
ejpam-5981	113	2	eq.(18	eq.(18	NOUN
ejpam-5981	113	3	)	)	PUNCT
ejpam-5981	113	4	and	and	CCONJ
ejpam-5981	113	5	eq.(19	eq.(19	ADJ
ejpam-5981	113	6	)	)	PUNCT
ejpam-5981	113	7	we	we	PRON
ejpam-5981	113	8	compute	compute	VERB
ejpam-5981	113	9	the	the	DET
ejpam-5981	113	10	estimates	estimate	NOUN
ejpam-5981	113	11	.	.	PUNCT
ejpam-5981	114	1	the	the	DET
ejpam-5981	114	2	average	average	ADJ
ejpam-5981	114	3	bias	bias	NOUN
ejpam-5981	114	4	(	(	PUNCT
ejpam-5981	114	5	ab	ab	NOUN
ejpam-5981	114	6	)	)	PUNCT
ejpam-5981	114	7	,	,	PUNCT
ejpam-5981	114	8	and	and	CCONJ
ejpam-5981	114	9	the	the	DET
ejpam-5981	114	10	mean	mean	ADJ
ejpam-5981	114	11	squared	square	VERB
ejpam-5981	114	12	error	error	NOUN
ejpam-5981	114	13	(	(	PUNCT
ejpam-5981	114	14	mse	mse	NOUN
ejpam-5981	114	15	)	)	PUNCT
ejpam-5981	114	16	,	,	PUNCT
ejpam-5981	114	17	of	of	ADP
ejpam-5981	114	18	the	the	DET
ejpam-5981	114	19	suggested	suggest	VERB
ejpam-5981	114	20	estimators	estimator	NOUN
ejpam-5981	114	21	are	be	AUX
ejpam-5981	114	22	used	use	VERB
ejpam-5981	114	23	to	to	PART
ejpam-5981	114	24	compare	compare	VERB
ejpam-5981	114	25	the	the	DET
ejpam-5981	114	26	performance	performance	NOUN
ejpam-5981	114	27	of	of	ADP
ejpam-5981	114	28	such	such	ADJ
ejpam-5981	114	29	estimators	estimator	NOUN
ejpam-5981	114	30	.	.	PUNCT
ejpam-5981	115	1	the	the	DET
ejpam-5981	115	2	ab(β̂	ab(β̂	NOUN
ejpam-5981	115	3	)	)	PUNCT
ejpam-5981	115	4	of	of	ADP
ejpam-5981	115	5	an	an	DET
ejpam-5981	115	6	estimator	estimator	NOUN
ejpam-5981	115	7	β̂	β̂	ADP
ejpam-5981	115	8	of	of	ADP
ejpam-5981	115	9	any	any	DET
ejpam-5981	115	10	parameter	parameter	NOUN
ejpam-5981	115	11	β	β	PROPN
ejpam-5981	115	12	indicates	indicate	VERB
ejpam-5981	115	13	the	the	DET
ejpam-5981	115	14	typical	typical	ADJ
ejpam-5981	115	15	disparity	disparity	NOUN
ejpam-5981	115	16	between	between	ADP
ejpam-5981	115	17	an	an	DET
ejpam-5981	115	18	outcome	outcome	NOUN
ejpam-5981	115	19	and	and	CCONJ
ejpam-5981	115	20	its	its	PRON
ejpam-5981	115	21	observed	observed	ADJ
ejpam-5981	115	22	counterpart	counterpart	NOUN
ejpam-5981	115	23	.	.	PUNCT
ejpam-5981	116	1	it	it	PRON
ejpam-5981	116	2	quantifies	quantify	VERB
ejpam-5981	116	3	the	the	DET
ejpam-5981	116	4	precision	precision	NOUN
ejpam-5981	116	5	of	of	ADP
ejpam-5981	116	6	a	a	DET
ejpam-5981	116	7	model	model	NOUN
ejpam-5981	116	8	’s	’s	PART
ejpam-5981	116	9	predicm	predicm	PROPN
ejpam-5981	116	10	.	.	PUNCT
ejpam-5981	117	1	ahmad	ahmad	PROPN
ejpam-5981	117	2	,	,	PUNCT
ejpam-5981	117	3	m.	m.	NOUN
ejpam-5981	117	4	a.	a.	NOUN
ejpam-5981	117	5	amleh	amleh	PROPN
ejpam-5981	117	6	/	/	SYM
ejpam-5981	117	7	eur	eur	PROPN
ejpam-5981	117	8	.	.	PUNCT
ejpam-5981	118	1	j.	j.	PROPN
ejpam-5981	118	2	pure	pure	PROPN
ejpam-5981	118	3	appl	appl	PROPN
ejpam-5981	118	4	.	.	PROPN
ejpam-5981	118	5	math	math	PROPN
ejpam-5981	118	6	,	,	PUNCT
ejpam-5981	118	7	18	18	NUM
ejpam-5981	118	8	(	(	PUNCT
ejpam-5981	118	9	2	2	NUM
ejpam-5981	118	10	)	)	PUNCT
ejpam-5981	118	11	(	(	PUNCT
ejpam-5981	118	12	2025	2025	NUM
ejpam-5981	118	13	)	)	PUNCT
ejpam-5981	118	14	,	,	PUNCT
ejpam-5981	118	15	5981	5981	NUM
ejpam-5981	118	16	8	8	NUM
ejpam-5981	118	17	of	of	ADP
ejpam-5981	118	18	16	16	NUM
ejpam-5981	118	19	tions	tion	NOUN
ejpam-5981	118	20	,	,	PUNCT
ejpam-5981	118	21	with	with	ADP
ejpam-5981	118	22	diminished	diminished	ADJ
ejpam-5981	118	23	mean	mean	NOUN
ejpam-5981	118	24	bias	bias	NOUN
ejpam-5981	118	25	implying	imply	VERB
ejpam-5981	118	26	greater	great	ADJ
ejpam-5981	118	27	proximity	proximity	NOUN
ejpam-5981	118	28	between	between	ADP
ejpam-5981	118	29	obtained	obtain	VERB
ejpam-5981	118	30	and	and	CCONJ
ejpam-5981	118	31	actual	actual	ADJ
ejpam-5981	118	32	values	value	NOUN
ejpam-5981	118	33	.	.	PUNCT
ejpam-5981	119	1	ab(β̂	ab(β̂	VERB
ejpam-5981	119	2	)	)	PUNCT
ejpam-5981	119	3	=	=	SYM
ejpam-5981	119	4	1	1	NUM
ejpam-5981	119	5	n	n	NUM
ejpam-5981	119	6	n∑	n∑	NOUN
ejpam-5981	119	7	i=1	i=1	PROPN
ejpam-5981	119	8	(	(	PUNCT
ejpam-5981	119	9	β̂i	β̂i	PUNCT
ejpam-5981	119	10	−	−	PROPN
ejpam-5981	119	11	β	β	NOUN
ejpam-5981	119	12	)	)	PUNCT
ejpam-5981	119	13	,	,	PUNCT
ejpam-5981	119	14	where	where	SCONJ
ejpam-5981	119	15	β̂i	β̂i	PUNCT
ejpam-5981	119	16	is	be	AUX
ejpam-5981	119	17	the	the	DET
ejpam-5981	119	18	estimate	estimate	NOUN
ejpam-5981	119	19	achieved	achieve	VERB
ejpam-5981	119	20	in	in	ADP
ejpam-5981	119	21	iteration	iteration	NOUN
ejpam-5981	119	22	i	i	PRON
ejpam-5981	119	23	,	,	PUNCT
ejpam-5981	119	24	i	i	PRON
ejpam-5981	119	25	=	=	NOUN
ejpam-5981	119	26	1	1	NUM
ejpam-5981	119	27	,	,	PUNCT
ejpam-5981	119	28	.	.	PUNCT
ejpam-5981	119	29	.	.	PUNCT
ejpam-5981	120	1	.	.	PUNCT
ejpam-5981	121	1	,	,	PUNCT
ejpam-5981	121	2	n	n	X
ejpam-5981	121	3	.	.	PUNCT
ejpam-5981	122	1	the	the	DET
ejpam-5981	122	2	mse(β̂	mse(β̂	PROPN
ejpam-5981	122	3	)	)	PUNCT
ejpam-5981	122	4	reflects	reflect	VERB
ejpam-5981	122	5	the	the	DET
ejpam-5981	122	6	average	average	ADJ
ejpam-5981	122	7	squared	square	VERB
ejpam-5981	122	8	difference	difference	NOUN
ejpam-5981	122	9	between	between	ADP
ejpam-5981	122	10	an	an	DET
ejpam-5981	122	11	estimated	estimate	VERB
ejpam-5981	122	12	value	value	NOUN
ejpam-5981	122	13	and	and	CCONJ
ejpam-5981	122	14	the	the	DET
ejpam-5981	122	15	actual	actual	ADJ
ejpam-5981	122	16	value	value	NOUN
ejpam-5981	122	17	of	of	ADP
ejpam-5981	122	18	β	β	NOUN
ejpam-5981	122	19	.	.	PUNCT
ejpam-5981	123	1	precisely	precisely	ADV
ejpam-5981	123	2	,	,	PUNCT
ejpam-5981	123	3	it	it	PRON
ejpam-5981	123	4	measures	measure	VERB
ejpam-5981	123	5	how	how	SCONJ
ejpam-5981	123	6	accurate	accurate	ADJ
ejpam-5981	123	7	a	a	DET
ejpam-5981	123	8	model	model	NOUN
ejpam-5981	123	9	’s	’s	PART
ejpam-5981	123	10	efficiency	efficiency	NOUN
ejpam-5981	123	11	is	be	AUX
ejpam-5981	123	12	.	.	PUNCT
ejpam-5981	124	1	the	the	PRON
ejpam-5981	124	2	lower	low	ADJ
ejpam-5981	124	3	the	the	DET
ejpam-5981	124	4	mse	mse	NOUN
ejpam-5981	124	5	,	,	PUNCT
ejpam-5981	124	6	the	the	PRON
ejpam-5981	124	7	closer	close	ADV
ejpam-5981	124	8	the	the	DET
ejpam-5981	124	9	estimated	estimated	ADJ
ejpam-5981	124	10	values	value	NOUN
ejpam-5981	124	11	are	be	AUX
ejpam-5981	124	12	to	to	ADP
ejpam-5981	124	13	the	the	DET
ejpam-5981	124	14	actual	actual	ADJ
ejpam-5981	124	15	values	value	NOUN
ejpam-5981	124	16	,	,	PUNCT
ejpam-5981	124	17	and	and	CCONJ
ejpam-5981	124	18	the	the	PRON
ejpam-5981	124	19	better	well	ADJ
ejpam-5981	124	20	the	the	DET
ejpam-5981	124	21	model	model	NOUN
ejpam-5981	124	22	’s	’s	PART
ejpam-5981	124	23	performance	performance	NOUN
ejpam-5981	124	24	,	,	PUNCT
ejpam-5981	124	25	formally	formally	ADV
ejpam-5981	124	26	mse(β̂	mse(β̂	ADJ
ejpam-5981	124	27	)	)	PUNCT
ejpam-5981	124	28	=	=	SYM
ejpam-5981	124	29	1	1	NUM
ejpam-5981	124	30	n	n	NUM
ejpam-5981	124	31	n∑	n∑	NOUN
ejpam-5981	124	32	i=1	i=1	PROPN
ejpam-5981	124	33	(	(	PUNCT
ejpam-5981	124	34	β̂i	β̂i	SYM
ejpam-5981	124	35	−	−	PROPN
ejpam-5981	124	36	β	β	X
ejpam-5981	124	37	)	)	PUNCT
ejpam-5981	124	38	2	2	X
ejpam-5981	124	39	.	.	PUNCT
ejpam-5981	125	1	a	a	DET
ejpam-5981	125	2	simulation	simulation	NOUN
ejpam-5981	125	3	experiment	experiment	NOUN
ejpam-5981	125	4	is	be	AUX
ejpam-5981	125	5	conducted	conduct	VERB
ejpam-5981	125	6	based	base	VERB
ejpam-5981	125	7	on	on	ADP
ejpam-5981	125	8	different	different	ADJ
ejpam-5981	125	9	sample	sample	NOUN
ejpam-5981	125	10	sizes	size	NOUN
ejpam-5981	125	11	and	and	CCONJ
ejpam-5981	125	12	parameter	parameter	NOUN
ejpam-5981	125	13	values	value	NOUN
ejpam-5981	125	14	.	.	PUNCT
ejpam-5981	126	1	for	for	ADP
ejpam-5981	126	2	this	this	PRON
ejpam-5981	126	3	,	,	PUNCT
ejpam-5981	126	4	we	we	PRON
ejpam-5981	126	5	generate	generate	VERB
ejpam-5981	126	6	random	random	ADJ
ejpam-5981	126	7	samples	sample	NOUN
ejpam-5981	126	8	of	of	ADP
ejpam-5981	126	9	α	α	PRON
ejpam-5981	126	10	−	−	NOUN
ejpam-5981	126	11	re	re	ADP
ejpam-5981	126	12	distribution	distribution	NOUN
ejpam-5981	126	13	by	by	ADP
ejpam-5981	126	14	considering	consider	VERB
ejpam-5981	126	15	the	the	DET
ejpam-5981	126	16	true	true	ADJ
ejpam-5981	126	17	values	value	NOUN
ejpam-5981	126	18	of	of	ADP
ejpam-5981	126	19	θ	θ	PROPN
ejpam-5981	126	20	and	and	CCONJ
ejpam-5981	126	21	α	α	PRON
ejpam-5981	126	22	to	to	PART
ejpam-5981	126	23	be	be	AUX
ejpam-5981	126	24	1.5	1.5	NUM
ejpam-5981	126	25	and	and	CCONJ
ejpam-5981	126	26	2	2	NUM
ejpam-5981	126	27	,	,	PUNCT
ejpam-5981	126	28	respectively	respectively	ADV
ejpam-5981	126	29	.	.	PUNCT
ejpam-5981	127	1	samples	sample	NOUN
ejpam-5981	127	2	from	from	ADP
ejpam-5981	127	3	α	α	DET
ejpam-5981	127	4	−	−	NOUN
ejpam-5981	127	5	re	re	ADP
ejpam-5981	127	6	distribution	distribution	NOUN
ejpam-5981	127	7	are	be	AUX
ejpam-5981	127	8	randomly	randomly	ADV
ejpam-5981	127	9	generated	generate	VERB
ejpam-5981	127	10	under	under	ADP
ejpam-5981	127	11	this	this	DET
ejpam-5981	127	12	setup	setup	NOUN
ejpam-5981	127	13	with	with	ADP
ejpam-5981	127	14	1000	1000	NUM
ejpam-5981	127	15	replications	replication	NOUN
ejpam-5981	127	16	of	of	ADP
ejpam-5981	127	17	the	the	DET
ejpam-5981	127	18	simulation	simulation	NOUN
ejpam-5981	127	19	process	process	NOUN
ejpam-5981	127	20	.	.	PUNCT
ejpam-5981	128	1	using	use	VERB
ejpam-5981	128	2	these	these	DET
ejpam-5981	128	3	random	random	ADJ
ejpam-5981	128	4	samples	sample	NOUN
ejpam-5981	128	5	,	,	PUNCT
ejpam-5981	128	6	abs	ab	VERB
ejpam-5981	128	7	andmses	andmse	NOUN
ejpam-5981	128	8	of	of	ADP
ejpam-5981	128	9	the	the	DET
ejpam-5981	128	10	estimators	estimator	NOUN
ejpam-5981	128	11	are	be	AUX
ejpam-5981	128	12	calculated	calculate	VERB
ejpam-5981	128	13	.	.	PUNCT
ejpam-5981	129	1	we	we	PRON
ejpam-5981	129	2	propose	propose	VERB
ejpam-5981	129	3	several	several	ADJ
ejpam-5981	129	4	sample	sample	NOUN
ejpam-5981	129	5	sizes	size	NOUN
ejpam-5981	129	6	n	n	NOUN
ejpam-5981	129	7	=	=	SYM
ejpam-5981	129	8	50	50	NUM
ejpam-5981	129	9	,	,	PUNCT
ejpam-5981	129	10	100	100	NUM
ejpam-5981	129	11	,	,	PUNCT
ejpam-5981	129	12	200	200	NUM
ejpam-5981	129	13	,	,	PUNCT
ejpam-5981	129	14	500	500	NUM
ejpam-5981	129	15	,	,	PUNCT
ejpam-5981	129	16	1000	1000	NUM
ejpam-5981	129	17	.	.	PUNCT
ejpam-5981	130	1	we	we	PRON
ejpam-5981	130	2	display	display	VERB
ejpam-5981	130	3	the	the	DET
ejpam-5981	130	4	results	result	NOUN
ejpam-5981	130	5	in	in	ADP
ejpam-5981	130	6	table	table	NOUN
ejpam-5981	130	7	1	1	NUM
ejpam-5981	130	8	.	.	PUNCT
ejpam-5981	130	9	table	table	NOUN
ejpam-5981	130	10	1	1	NUM
ejpam-5981	130	11	:	:	PUNCT
ejpam-5981	130	12	abs	ab	NOUN
ejpam-5981	130	13	and	and	CCONJ
ejpam-5981	130	14	mses	ms	NOUN
ejpam-5981	130	15	of	of	ADP
ejpam-5981	130	16	the	the	DET
ejpam-5981	130	17	parameter	parameter	NOUN
ejpam-5981	130	18	estimates	estimate	VERB
ejpam-5981	130	19	when	when	SCONJ
ejpam-5981	130	20	θ	θ	PROPN
ejpam-5981	130	21	=	=	SYM
ejpam-5981	130	22	1.5	1.5	NUM
ejpam-5981	130	23	,	,	PUNCT
ejpam-5981	130	24	α	α	NOUN
ejpam-5981	130	25	=	=	SYM
ejpam-5981	130	26	2	2	NUM
ejpam-5981	130	27	n	n	PRON
ejpam-5981	130	28	ab(θ̂	ab(θ̂	NOUN
ejpam-5981	130	29	)	)	PUNCT
ejpam-5981	130	30	mse(θ̂	mse(θ̂	PROPN
ejpam-5981	130	31	)	)	PUNCT
ejpam-5981	130	32	ab(α̂	ab(α̂	NOUN
ejpam-5981	130	33	)	)	PUNCT
ejpam-5981	130	34	mse(α̂	mse(α̂	NOUN
ejpam-5981	130	35	)	)	PUNCT
ejpam-5981	130	36	50	50	NUM
ejpam-5981	130	37	0.0242	0.0242	NUM
ejpam-5981	130	38	0.0630	0.0630	NUM
ejpam-5981	130	39	0.0417	0.0417	NUM
ejpam-5981	130	40	0.2188	0.2188	NUM
ejpam-5981	130	41	100	100	NUM
ejpam-5981	130	42	0.0191	0.0191	NUM
ejpam-5981	130	43	0.02823	0.02823	NUM
ejpam-5981	130	44	0.0374	0.0374	NUM
ejpam-5981	130	45	0.0904	0.0904	NUM
ejpam-5981	130	46	200	200	NUM
ejpam-5981	130	47	0.0144	0.0144	NUM
ejpam-5981	130	48	0.0133	0.0133	NUM
ejpam-5981	130	49	0.0129	0.0129	NUM
ejpam-5981	130	50	0.0427	0.0427	NUM
ejpam-5981	130	51	500	500	NUM
ejpam-5981	130	52	0.0027	0.0027	NUM
ejpam-5981	130	53	0.0060	0.0060	NUM
ejpam-5981	130	54	0.0053	0.0053	NUM
ejpam-5981	130	55	0.01750	0.01750	NUM
ejpam-5981	130	56	1000	1000	NUM
ejpam-5981	130	57	0.0019	0.0019	NUM
ejpam-5981	130	58	0.00297	0.00297	NUM
ejpam-5981	130	59	0.0017	0.0017	NUM
ejpam-5981	130	60	0.0093	0.0093	NUM
ejpam-5981	130	61	it	it	PRON
ejpam-5981	130	62	can	can	AUX
ejpam-5981	130	63	be	be	AUX
ejpam-5981	130	64	observed	observe	VERB
ejpam-5981	130	65	that	that	SCONJ
ejpam-5981	130	66	the	the	DET
ejpam-5981	130	67	ab(β̂	ab(β̂	NOUN
ejpam-5981	130	68	)	)	PUNCT
ejpam-5981	130	69	and	and	CCONJ
ejpam-5981	130	70	mse(β̂	mse(β̂	PROPN
ejpam-5981	130	71	)	)	PUNCT
ejpam-5981	130	72	,	,	PUNCT
ejpam-5981	130	73	of	of	ADP
ejpam-5981	130	74	the	the	DET
ejpam-5981	130	75	estimators	estimator	NOUN
ejpam-5981	130	76	decrease	decrease	VERB
ejpam-5981	130	77	as	as	ADP
ejpam-5981	130	78	the	the	DET
ejpam-5981	130	79	sample	sample	NOUN
ejpam-5981	130	80	size	size	NOUN
ejpam-5981	130	81	increases	increase	NOUN
ejpam-5981	130	82	,	,	PUNCT
ejpam-5981	130	83	which	which	PRON
ejpam-5981	130	84	means	mean	VERB
ejpam-5981	130	85	all	all	DET
ejpam-5981	130	86	estimators	estimator	NOUN
ejpam-5981	130	87	tend	tend	VERB
ejpam-5981	130	88	to	to	ADP
ejpam-5981	130	89	the	the	DET
ejpam-5981	130	90	true	true	ADJ
ejpam-5981	130	91	value	value	NOUN
ejpam-5981	130	92	of	of	ADP
ejpam-5981	130	93	the	the	DET
ejpam-5981	130	94	parameter	parameter	NOUN
ejpam-5981	130	95	.	.	PUNCT
ejpam-5981	131	1	6	6	NUM
ejpam-5981	131	2	.	.	X
ejpam-5981	131	3	real	real	ADJ
ejpam-5981	131	4	data	datum	NOUN
ejpam-5981	131	5	applications	application	NOUN
ejpam-5981	131	6	in	in	ADP
ejpam-5981	131	7	this	this	DET
ejpam-5981	131	8	section	section	NOUN
ejpam-5981	131	9	,	,	PUNCT
ejpam-5981	131	10	we	we	PRON
ejpam-5981	131	11	examine	examine	VERB
ejpam-5981	131	12	the	the	DET
ejpam-5981	131	13	adaptability	adaptability	NOUN
ejpam-5981	131	14	of	of	ADP
ejpam-5981	131	15	the	the	DET
ejpam-5981	131	16	new	new	ADJ
ejpam-5981	131	17	distribution	distribution	NOUN
ejpam-5981	131	18	using	use	VERB
ejpam-5981	131	19	real	real	ADJ
ejpam-5981	131	20	-	-	PUNCT
ejpam-5981	131	21	life	life	NOUN
ejpam-5981	131	22	applications	application	NOUN
ejpam-5981	131	23	and	and	CCONJ
ejpam-5981	131	24	compare	compare	VERB
ejpam-5981	131	25	the	the	DET
ejpam-5981	131	26	goodness	goodness	NOUN
ejpam-5981	131	27	of	of	ADP
ejpam-5981	131	28	fit	fit	NOUN
ejpam-5981	131	29	of	of	ADP
ejpam-5981	131	30	the	the	DET
ejpam-5981	131	31	α−re	α−re	PROPN
ejpam-5981	131	32	distribution	distribution	NOUN
ejpam-5981	131	33	to	to	ADP
ejpam-5981	131	34	other	other	ADJ
ejpam-5981	131	35	existing	exist	VERB
ejpam-5981	131	36	distributions	distribution	NOUN
ejpam-5981	131	37	.	.	PUNCT
ejpam-5981	132	1	the	the	DET
ejpam-5981	132	2	goodness	goodness	NOUN
ejpam-5981	132	3	of	of	ADP
ejpam-5981	132	4	fit	fit	NOUN
ejpam-5981	132	5	of	of	ADP
ejpam-5981	132	6	the	the	DET
ejpam-5981	132	7	suggested	suggest	VERB
ejpam-5981	132	8	distribution	distribution	NOUN
ejpam-5981	132	9	is	be	AUX
ejpam-5981	132	10	compared	compare	VERB
ejpam-5981	132	11	with	with	ADP
ejpam-5981	132	12	the	the	DET
ejpam-5981	132	13	following	follow	VERB
ejpam-5981	132	14	dism	dism	NOUN
ejpam-5981	132	15	.	.	PUNCT
ejpam-5981	133	1	ahmad	ahmad	PROPN
ejpam-5981	133	2	,	,	PUNCT
ejpam-5981	133	3	m.	m.	NOUN
ejpam-5981	133	4	a.	a.	NOUN
ejpam-5981	133	5	amleh	amleh	PROPN
ejpam-5981	133	6	/	/	SYM
ejpam-5981	133	7	eur	eur	PROPN
ejpam-5981	133	8	.	.	PUNCT
ejpam-5981	134	1	j.	j.	PROPN
ejpam-5981	134	2	pure	pure	PROPN
ejpam-5981	134	3	appl	appl	PROPN
ejpam-5981	134	4	.	.	PROPN
ejpam-5981	134	5	math	math	PROPN
ejpam-5981	134	6	,	,	PUNCT
ejpam-5981	134	7	18	18	NUM
ejpam-5981	134	8	(	(	PUNCT
ejpam-5981	134	9	2	2	NUM
ejpam-5981	134	10	)	)	PUNCT
ejpam-5981	134	11	(	(	PUNCT
ejpam-5981	134	12	2025	2025	NUM
ejpam-5981	134	13	)	)	PUNCT
ejpam-5981	134	14	,	,	PUNCT
ejpam-5981	134	15	5981	5981	NUM
ejpam-5981	134	16	9	9	NUM
ejpam-5981	134	17	of	of	ADP
ejpam-5981	134	18	16	16	NUM
ejpam-5981	134	19	tributions	tribution	NOUN
ejpam-5981	134	20	:	:	PUNCT
ejpam-5981	134	21	two	two	NUM
ejpam-5981	134	22	-	-	PUNCT
ejpam-5981	134	23	parameter	parameter	NOUN
ejpam-5981	134	24	exponential	exponential	ADJ
ejpam-5981	134	25	distribution	distribution	NOUN
ejpam-5981	134	26	(	(	PUNCT
ejpam-5981	134	27	johnson	johnson	PROPN
ejpam-5981	134	28	et	et	PROPN
ejpam-5981	134	29	al.)[10	al.)[10	ADV
ejpam-5981	134	30	]	]	PUNCT
ejpam-5981	134	31	,	,	PUNCT
ejpam-5981	134	32	with	with	ADP
ejpam-5981	134	33	pdf	pdf	NOUN
ejpam-5981	134	34	:	:	PUNCT
ejpam-5981	134	35	fexp(x	fexp(x	NOUN
ejpam-5981	134	36	)	)	PUNCT
ejpam-5981	134	37	=	=	SYM
ejpam-5981	134	38	θe−θ(x−b	θe−θ(x−b	NOUN
ejpam-5981	134	39	)	)	PUNCT
ejpam-5981	134	40	,	,	PUNCT
ejpam-5981	134	41	x	x	X
ejpam-5981	134	42	>	>	X
ejpam-5981	134	43	b	b	PROPN
ejpam-5981	134	44	,	,	PUNCT
ejpam-5981	134	45	θ	θ	PROPN
ejpam-5981	134	46	>	>	X
ejpam-5981	134	47	0	0	X
ejpam-5981	134	48	.	.	PUNCT
ejpam-5981	135	1	gamma	gamma	NOUN
ejpam-5981	135	2	distribution	distribution	NOUN
ejpam-5981	135	3	(	(	PUNCT
ejpam-5981	135	4	johnson	johnson	PROPN
ejpam-5981	135	5	et	et	PROPN
ejpam-5981	135	6	al.)[10	al.)[10	ADV
ejpam-5981	135	7	]	]	PUNCT
ejpam-5981	135	8	,	,	PUNCT
ejpam-5981	135	9	with	with	ADP
ejpam-5981	135	10	pdf	pdf	NOUN
ejpam-5981	135	11	:	:	PUNCT
ejpam-5981	135	12	fgam(x	fgam(x	NOUN
ejpam-5981	135	13	)	)	PUNCT
ejpam-5981	135	14	=	=	SYM
ejpam-5981	135	15	βαxα−1e−βx	βαxα−1e−βx	PROPN
ejpam-5981	135	16	γ(α	γ(α	NOUN
ejpam-5981	135	17	)	)	PUNCT
ejpam-5981	135	18	,	,	PUNCT
ejpam-5981	135	19	x	x	X
ejpam-5981	135	20	>	>	X
ejpam-5981	135	21	0	0	PROPN
ejpam-5981	135	22	,	,	PUNCT
ejpam-5981	135	23	α	α	NOUN
ejpam-5981	135	24	>	>	X
ejpam-5981	135	25	0	0	PROPN
ejpam-5981	135	26	,	,	PUNCT
ejpam-5981	135	27	β	β	X
ejpam-5981	135	28	>	>	X
ejpam-5981	135	29	0	0	X
ejpam-5981	135	30	.	.	PUNCT
ejpam-5981	136	1	weibull	weibull	PROPN
ejpam-5981	136	2	distribution	distribution	NOUN
ejpam-5981	136	3	(	(	PUNCT
ejpam-5981	136	4	johnson	johnson	PROPN
ejpam-5981	136	5	et	et	PROPN
ejpam-5981	136	6	al.)[10	al.)[10	ADV
ejpam-5981	136	7	]	]	PUNCT
ejpam-5981	136	8	,	,	PUNCT
ejpam-5981	136	9	with	with	ADP
ejpam-5981	136	10	pdf	pdf	NOUN
ejpam-5981	136	11	:	:	PUNCT
ejpam-5981	136	12	fwei(x	fwei(x	ADJ
ejpam-5981	136	13	)	)	PUNCT
ejpam-5981	136	14	=	=	SYM
ejpam-5981	137	1	α	α	X
ejpam-5981	137	2	β	β	X
ejpam-5981	137	3	(	(	PUNCT
ejpam-5981	137	4	x	x	X
ejpam-5981	137	5	β	β	X
ejpam-5981	137	6	)	)	PUNCT
ejpam-5981	137	7	α−1	α−1	PROPN
ejpam-5981	137	8	e	e	NOUN
ejpam-5981	137	9	−	−	PROPN
ejpam-5981	137	10	(	(	PUNCT
ejpam-5981	137	11	x	x	X
ejpam-5981	137	12	β	β	X
ejpam-5981	137	13	)	)	PUNCT
ejpam-5981	137	14	α	α	NOUN
ejpam-5981	137	15	,	,	PUNCT
ejpam-5981	137	16	x	x	X
ejpam-5981	137	17	>	>	X
ejpam-5981	137	18	0	0	PROPN
ejpam-5981	137	19	,	,	PUNCT
ejpam-5981	137	20	α	α	NOUN
ejpam-5981	137	21	>	>	X
ejpam-5981	137	22	0	0	PROPN
ejpam-5981	137	23	,	,	PUNCT
ejpam-5981	137	24	β	β	X
ejpam-5981	137	25	>	>	X
ejpam-5981	137	26	0	0	X
ejpam-5981	137	27	.	.	PUNCT
ejpam-5981	138	1	the	the	DET
ejpam-5981	138	2	performance	performance	NOUN
ejpam-5981	138	3	of	of	ADP
ejpam-5981	138	4	each	each	DET
ejpam-5981	138	5	model	model	NOUN
ejpam-5981	138	6	is	be	AUX
ejpam-5981	138	7	obtained	obtain	VERB
ejpam-5981	138	8	according	accord	VERB
ejpam-5981	138	9	to	to	ADP
ejpam-5981	138	10	many	many	ADJ
ejpam-5981	138	11	criteria	criterion	NOUN
ejpam-5981	138	12	,	,	PUNCT
ejpam-5981	138	13	including	include	VERB
ejpam-5981	138	14	−2	−2	PROPN
ejpam-5981	138	15	lnl	lnl	PROPN
ejpam-5981	138	16	,	,	PUNCT
ejpam-5981	138	17	kolmogorov	kolmogorov	ADJ
ejpam-5981	138	18	-	-	PUNCT
ejpam-5981	138	19	smirnov	smirnov	ADJ
ejpam-5981	138	20	statistic	statistic	NOUN
ejpam-5981	138	21	(	(	PUNCT
ejpam-5981	138	22	kss	kss	PROPN
ejpam-5981	138	23	)	)	PUNCT
ejpam-5981	138	24	,	,	PUNCT
ejpam-5981	138	25	and	and	CCONJ
ejpam-5981	138	26	its	its	PRON
ejpam-5981	138	27	corresponding	corresponding	ADJ
ejpam-5981	138	28	p	p	NOUN
ejpam-5981	138	29	-	-	PUNCT
ejpam-5981	138	30	value	value	NOUN
ejpam-5981	138	31	,	,	PUNCT
ejpam-5981	138	32	(	(	PUNCT
ejpam-5981	138	33	chakravarti	chakravarti	VERB
ejpam-5981	138	34	et	et	NOUN
ejpam-5981	138	35	al.)[11	al.)[11	PROPN
ejpam-5981	138	36	]	]	PUNCT
ejpam-5981	138	37	,	,	PUNCT
ejpam-5981	138	38	akaike	akaike	ADP
ejpam-5981	138	39	information	information	NOUN
ejpam-5981	138	40	criterion	criterion	NOUN
ejpam-5981	138	41	(	(	PUNCT
ejpam-5981	138	42	aic	aic	PROPN
ejpam-5981	138	43	)	)	PUNCT
ejpam-5981	138	44	,	,	PUNCT
ejpam-5981	138	45	see	see	VERB
ejpam-5981	138	46	(	(	PUNCT
ejpam-5981	138	47	akaike)[12	akaike)[12	NOUN
ejpam-5981	138	48	]	]	PUNCT
ejpam-5981	138	49	,	,	PUNCT
ejpam-5981	138	50	and	and	CCONJ
ejpam-5981	138	51	bayesian	bayesian	NOUN
ejpam-5981	138	52	information	information	NOUN
ejpam-5981	138	53	criterion	criterion	NOUN
ejpam-5981	138	54	(	(	PUNCT
ejpam-5981	138	55	bic	bic	PROPN
ejpam-5981	138	56	)	)	PUNCT
ejpam-5981	138	57	,	,	PUNCT
ejpam-5981	138	58	(	(	PUNCT
ejpam-5981	138	59	konishi	konishi	PROPN
ejpam-5981	138	60	et	et	PROPN
ejpam-5981	138	61	al.)[13	al.)[13	PROPN
ejpam-5981	138	62	]	]	PUNCT
ejpam-5981	138	63	.	.	PUNCT
ejpam-5981	139	1	we	we	PRON
ejpam-5981	139	2	choose	choose	VERB
ejpam-5981	139	3	the	the	DET
ejpam-5981	139	4	best	good	ADJ
ejpam-5981	139	5	model	model	NOUN
ejpam-5981	139	6	so	so	SCONJ
ejpam-5981	139	7	that	that	SCONJ
ejpam-5981	139	8	it	it	PRON
ejpam-5981	139	9	has	have	VERB
ejpam-5981	139	10	lower	low	ADJ
ejpam-5981	139	11	values	value	NOUN
ejpam-5981	139	12	of	of	ADP
ejpam-5981	139	13	−2	−2	PROPN
ejpam-5981	139	14	lnl	lnl	PROPN
ejpam-5981	139	15	,	,	PUNCT
ejpam-5981	139	16	kss	kss	PROPN
ejpam-5981	139	17	,	,	PUNCT
ejpam-5981	139	18	aic	aic	PROPN
ejpam-5981	139	19	,	,	PUNCT
ejpam-5981	139	20	and	and	CCONJ
ejpam-5981	139	21	bic	bic	NOUN
ejpam-5981	139	22	and	and	CCONJ
ejpam-5981	139	23	higher	high	ADJ
ejpam-5981	139	24	p	p	NOUN
ejpam-5981	139	25	-	-	PUNCT
ejpam-5981	139	26	value	value	NOUN
ejpam-5981	139	27	.	.	PUNCT
ejpam-5981	140	1	here	here	ADV
ejpam-5981	140	2	,	,	PUNCT
ejpam-5981	140	3	l	l	NOUN
ejpam-5981	140	4	represents	represent	VERB
ejpam-5981	140	5	the	the	DET
ejpam-5981	140	6	likelihood	likelihood	NOUN
ejpam-5981	140	7	function	function	NOUN
ejpam-5981	140	8	.	.	PUNCT
ejpam-5981	141	1	the	the	DET
ejpam-5981	141	2	values	value	NOUN
ejpam-5981	141	3	of	of	ADP
ejpam-5981	141	4	kss	kss	PROPN
ejpam-5981	141	5	,	,	PUNCT
ejpam-5981	141	6	aic	aic	PROPN
ejpam-5981	141	7	,	,	PUNCT
ejpam-5981	141	8	bic	bic	PROPN
ejpam-5981	141	9	are	be	AUX
ejpam-5981	141	10	given	give	VERB
ejpam-5981	141	11	respectively	respectively	ADV
ejpam-5981	141	12	:	:	PUNCT
ejpam-5981	141	13	kss	kss	PROPN
ejpam-5981	142	1	=	=	NOUN
ejpam-5981	142	2	sup	sup	NOUN
ejpam-5981	142	3	x|fn(x)−	x|fn(x)−	PROPN
ejpam-5981	142	4	f0(x)|	f0(x)|	PROPN
ejpam-5981	142	5	aic	aic	PROPN
ejpam-5981	142	6	=	=	PROPN
ejpam-5981	142	7	−2	−2	PROPN
ejpam-5981	142	8	lnl+	lnl+	VERB
ejpam-5981	142	9	2	2	NUM
ejpam-5981	142	10	m	m	NOUN
ejpam-5981	142	11	bic	bic	NOUN
ejpam-5981	142	12	=	=	SYM
ejpam-5981	142	13	−2	−2	PROPN
ejpam-5981	142	14	lnl+m	lnl+m	PROPN
ejpam-5981	142	15	ln(n	ln(n	X
ejpam-5981	142	16	)	)	PUNCT
ejpam-5981	142	17	where	where	SCONJ
ejpam-5981	142	18	n	n	PRON
ejpam-5981	142	19	is	be	AUX
ejpam-5981	142	20	the	the	DET
ejpam-5981	142	21	sample	sample	NOUN
ejpam-5981	142	22	size	size	NOUN
ejpam-5981	142	23	,	,	PUNCT
ejpam-5981	142	24	m	m	VERB
ejpam-5981	142	25	represents	represent	VERB
ejpam-5981	142	26	the	the	DET
ejpam-5981	142	27	number	number	NOUN
ejpam-5981	142	28	of	of	ADP
ejpam-5981	142	29	parameters	parameter	NOUN
ejpam-5981	142	30	,	,	PUNCT
ejpam-5981	142	31	and	and	CCONJ
ejpam-5981	142	32	fn(x	fn(x	PRON
ejpam-5981	142	33	)	)	PUNCT
ejpam-5981	142	34	stands	stand	VERB
ejpam-5981	142	35	for	for	ADP
ejpam-5981	142	36	the	the	DET
ejpam-5981	142	37	empirical	empirical	ADJ
ejpam-5981	142	38	distribution	distribution	NOUN
ejpam-5981	142	39	function	function	NOUN
ejpam-5981	142	40	.	.	PUNCT
ejpam-5981	143	1	we	we	PRON
ejpam-5981	143	2	consider	consider	VERB
ejpam-5981	143	3	two	two	NUM
ejpam-5981	143	4	data	datum	NOUN
ejpam-5981	143	5	sets	set	NOUN
ejpam-5981	143	6	that	that	PRON
ejpam-5981	143	7	are	be	AUX
ejpam-5981	143	8	widely	widely	ADV
ejpam-5981	143	9	used	use	VERB
ejpam-5981	143	10	in	in	ADP
ejpam-5981	143	11	the	the	DET
ejpam-5981	143	12	literature	literature	NOUN
ejpam-5981	143	13	for	for	ADP
ejpam-5981	143	14	the	the	DET
ejpam-5981	143	15	purpose	purpose	NOUN
ejpam-5981	143	16	of	of	ADP
ejpam-5981	143	17	fitting	fitting	ADJ
ejpam-5981	143	18	new	new	ADJ
ejpam-5981	143	19	distributions	distribution	NOUN
ejpam-5981	143	20	.	.	PUNCT
ejpam-5981	144	1	6.1	6.1	NUM
ejpam-5981	144	2	.	.	PUNCT
ejpam-5981	144	3	example	example	NOUN
ejpam-5981	144	4	1	1	NUM
ejpam-5981	144	5	we	we	PRON
ejpam-5981	144	6	have	have	VERB
ejpam-5981	144	7	a	a	DET
ejpam-5981	144	8	dataset	dataset	NOUN
ejpam-5981	144	9	that	that	PRON
ejpam-5981	144	10	contains	contain	VERB
ejpam-5981	144	11	information	information	NOUN
ejpam-5981	144	12	about	about	ADP
ejpam-5981	144	13	the	the	DET
ejpam-5981	144	14	lifespan	lifespan	NOUN
ejpam-5981	144	15	of	of	ADP
ejpam-5981	144	16	kevlar	kevlar	ADJ
ejpam-5981	144	17	373	373	NUM
ejpam-5981	144	18	/	/	SYM
ejpam-5981	144	19	epoxy	epoxy	NOUN
ejpam-5981	144	20	samples	sample	NOUN
ejpam-5981	144	21	exposed	expose	VERB
ejpam-5981	144	22	to	to	ADP
ejpam-5981	144	23	constant	constant	ADJ
ejpam-5981	144	24	pressure	pressure	NOUN
ejpam-5981	144	25	at	at	ADP
ejpam-5981	144	26	90	90	NUM
ejpam-5981	144	27	%	%	NOUN
ejpam-5981	144	28	of	of	ADP
ejpam-5981	144	29	their	their	PRON
ejpam-5981	144	30	stress	stress	NOUN
ejpam-5981	144	31	capacity	capacity	NOUN
ejpam-5981	144	32	until	until	SCONJ
ejpam-5981	144	33	each	each	DET
ejpam-5981	144	34	sample	sample	NOUN
ejpam-5981	144	35	reaches	reach	VERB
ejpam-5981	144	36	the	the	DET
ejpam-5981	144	37	point	point	NOUN
ejpam-5981	144	38	of	of	ADP
ejpam-5981	144	39	failure	failure	NOUN
ejpam-5981	144	40	.	.	PUNCT
ejpam-5981	145	1	this	this	DET
ejpam-5981	145	2	dataset	dataset	NOUN
ejpam-5981	145	3	has	have	AUX
ejpam-5981	145	4	been	be	AUX
ejpam-5981	145	5	utilized	utilize	VERB
ejpam-5981	145	6	by	by	ADP
ejpam-5981	145	7	abdul	abdul	PROPN
ejpam-5981	145	8	-	-	PUNCT
ejpam-5981	145	9	moniem	moniem	PROPN
ejpam-5981	145	10	and	and	CCONJ
ejpam-5981	145	11	seham	seham	VERB
ejpam-5981	145	12	[	[	X
ejpam-5981	145	13	14	14	NUM
ejpam-5981	145	14	]	]	PUNCT
ejpam-5981	145	15	.	.	PUNCT
ejpam-5981	146	1	the	the	DET
ejpam-5981	146	2	data	data	NOUN
ejpam-5981	146	3	is	be	AUX
ejpam-5981	146	4	recorded	record	VERB
ejpam-5981	146	5	as	as	SCONJ
ejpam-5981	146	6	follows	follow	VERB
ejpam-5981	146	7	:	:	PUNCT
ejpam-5981	147	1	m.	m.	NOUN
ejpam-5981	147	2	ahmad	ahmad	PROPN
ejpam-5981	147	3	,	,	PUNCT
ejpam-5981	147	4	m.	m.	NOUN
ejpam-5981	147	5	a.	a.	NOUN
ejpam-5981	147	6	amleh	amleh	PROPN
ejpam-5981	147	7	/	/	SYM
ejpam-5981	147	8	eur	eur	PROPN
ejpam-5981	147	9	.	.	PUNCT
ejpam-5981	148	1	j.	j.	PROPN
ejpam-5981	148	2	pure	pure	PROPN
ejpam-5981	148	3	appl	appl	PROPN
ejpam-5981	148	4	.	.	PROPN
ejpam-5981	148	5	math	math	PROPN
ejpam-5981	148	6	,	,	PUNCT
ejpam-5981	148	7	18	18	NUM
ejpam-5981	148	8	(	(	PUNCT
ejpam-5981	148	9	2	2	NUM
ejpam-5981	148	10	)	)	PUNCT
ejpam-5981	148	11	(	(	PUNCT
ejpam-5981	148	12	2025	2025	NUM
ejpam-5981	148	13	)	)	PUNCT
ejpam-5981	148	14	,	,	PUNCT
ejpam-5981	148	15	5981	5981	NUM
ejpam-5981	148	16	10	10	NUM
ejpam-5981	148	17	of	of	ADP
ejpam-5981	148	18	16	16	NUM
ejpam-5981	148	19	example	example	NOUN
ejpam-5981	148	20	1	1	NUM
ejpam-5981	148	21	0.0251	0.0251	NUM
ejpam-5981	148	22	0.0886	0.0886	NUM
ejpam-5981	148	23	0.0891	0.0891	NUM
ejpam-5981	148	24	0.2501	0.2501	NUM
ejpam-5981	148	25	0.3113	0.3113	NUM
ejpam-5981	148	26	0.3451	0.3451	NUM
ejpam-5981	148	27	0.4763	0.4763	NUM
ejpam-5981	148	28	0.5650	0.5650	NUM
ejpam-5981	148	29	0.5671	0.5671	NUM
ejpam-5981	148	30	0.6566	0.6566	NUM
ejpam-5981	148	31	0.6748	0.6748	NUM
ejpam-5981	148	32	0.6751	0.6751	NUM
ejpam-5981	148	33	0.6753	0.6753	NUM
ejpam-5981	149	1	0.7696	0.7696	NUM
ejpam-5981	149	2	0.8375	0.8375	NUM
ejpam-5981	149	3	0.8391	0.8391	NUM
ejpam-5981	149	4	0.8425	0.8425	NUM
ejpam-5981	149	5	0.8645	0.8645	NUM
ejpam-5981	149	6	0.8851	0.8851	NUM
ejpam-5981	149	7	0.9113	0.9113	NUM
ejpam-5981	149	8	0.9120	0.9120	NUM
ejpam-5981	149	9	0.9836	0.9836	NUM
ejpam-5981	149	10	1.0483	1.0483	NUM
ejpam-5981	149	11	1.0596	1.0596	NUM
ejpam-5981	149	12	1.0773	1.0773	NUM
ejpam-5981	149	13	1.1733	1.1733	NUM
ejpam-5981	149	14	1.2570	1.2570	NUM
ejpam-5981	149	15	1.2766	1.2766	NUM
ejpam-5981	149	16	1.2985	1.2985	NUM
ejpam-5981	149	17	1.3211	1.3211	NUM
ejpam-5981	149	18	1.3503	1.3503	NUM
ejpam-5981	149	19	1.3551	1.3551	NUM
ejpam-5981	149	20	1.4595	1.4595	NUM
ejpam-5981	149	21	1.4880	1.4880	NUM
ejpam-5981	149	22	1.5728	1.5728	NUM
ejpam-5981	149	23	1.5733	1.5733	NUM
ejpam-5981	149	24	1.7083	1.7083	NUM
ejpam-5981	149	25	1.7263	1.7263	NUM
ejpam-5981	149	26	1.7460	1.7460	NUM
ejpam-5981	149	27	1.7630	1.7630	NUM
ejpam-5981	149	28	1.7746	1.7746	NUM
ejpam-5981	149	29	1.8275	1.8275	NUM
ejpam-5981	149	30	1.8375	1.8375	NUM
ejpam-5981	149	31	1.8503	1.8503	NUM
ejpam-5981	149	32	1.8808	1.8808	NUM
ejpam-5981	149	33	1.8878	1.8878	NUM
ejpam-5981	149	34	1.8881	1.8881	NUM
ejpam-5981	149	35	1.9316	1.9316	NUM
ejpam-5981	149	36	1.9558	1.9558	NUM
ejpam-5981	149	37	2.0048	2.0048	NUM
ejpam-5981	149	38	2.0408	2.0408	NUM
ejpam-5981	149	39	2.0903	2.0903	NUM
ejpam-5981	149	40	2.1093	2.1093	NUM
ejpam-5981	149	41	2.1330	2.1330	NUM
ejpam-5981	149	42	2.2100	2.2100	NUM
ejpam-5981	149	43	2.2460	2.2460	NUM
ejpam-5981	149	44	2.2878	2.2878	NUM
ejpam-5981	149	45	2.3203	2.3203	NUM
ejpam-5981	149	46	2.3470	2.3470	NUM
ejpam-5981	149	47	2.3513	2.3513	NUM
ejpam-5981	149	48	2.4951	2.4951	NUM
ejpam-5981	149	49	2.5260	2.5260	NUM
ejpam-5981	149	50	2.9911	2.9911	NUM
ejpam-5981	149	51	3.0256	3.0256	NUM
ejpam-5981	149	52	3.2678	3.2678	NUM
ejpam-5981	149	53	3.4045	3.4045	NUM
ejpam-5981	149	54	3.4846	3.4846	NUM
ejpam-5981	149	55	3.7433	3.7433	NUM
ejpam-5981	149	56	3.7455	3.7455	NUM
ejpam-5981	149	57	3.9143	3.9143	NUM
ejpam-5981	149	58	4.8073	4.8073	NUM
ejpam-5981	149	59	5.4005	5.4005	NUM
ejpam-5981	149	60	5.4435	5.4435	NUM
ejpam-5981	149	61	5.5295	5.5295	NUM
ejpam-5981	149	62	6.5541	6.5541	NUM
ejpam-5981	149	63	9.0960	9.0960	NUM
ejpam-5981	149	64	the	the	DET
ejpam-5981	149	65	results	result	NOUN
ejpam-5981	149	66	of	of	ADP
ejpam-5981	149	67	−2	−2	PROPN
ejpam-5981	149	68	lnl	lnl	PROPN
ejpam-5981	149	69	,	,	PUNCT
ejpam-5981	149	70	kss	kss	PROPN
ejpam-5981	149	71	,	,	PUNCT
ejpam-5981	149	72	p−	p−	NOUN
ejpam-5981	149	73	value	value	NOUN
ejpam-5981	149	74	,	,	PUNCT
ejpam-5981	149	75	aic	aic	PROPN
ejpam-5981	149	76	,	,	PUNCT
ejpam-5981	149	77	and	and	CCONJ
ejpam-5981	149	78	bic	bic	PROPN
ejpam-5981	149	79	for	for	ADP
ejpam-5981	149	80	α−re	α−re	PROPN
ejpam-5981	149	81	,	,	PUNCT
ejpam-5981	149	82	gamma	gamma	NOUN
ejpam-5981	149	83	,	,	PUNCT
ejpam-5981	149	84	weibull	weibull	NOUN
ejpam-5981	149	85	,	,	PUNCT
ejpam-5981	149	86	and	and	CCONJ
ejpam-5981	149	87	exponential	exponential	ADJ
ejpam-5981	149	88	distributions	distribution	NOUN
ejpam-5981	149	89	are	be	AUX
ejpam-5981	149	90	given	give	VERB
ejpam-5981	149	91	in	in	ADP
ejpam-5981	149	92	table	table	NOUN
ejpam-5981	149	93	2	2	NUM
ejpam-5981	149	94	.	.	PUNCT
ejpam-5981	149	95	table	table	NOUN
ejpam-5981	149	96	2	2	NUM
ejpam-5981	149	97	:	:	PUNCT
ejpam-5981	149	98	−2	−2	PROPN
ejpam-5981	149	99	lnl	lnl	PROPN
ejpam-5981	149	100	,	,	PUNCT
ejpam-5981	149	101	kss	kss	PROPN
ejpam-5981	149	102	,	,	PUNCT
ejpam-5981	149	103	p−	p−	NOUN
ejpam-5981	149	104	value	value	NOUN
ejpam-5981	149	105	,	,	PUNCT
ejpam-5981	149	106	aic	aic	PROPN
ejpam-5981	149	107	,	,	PUNCT
ejpam-5981	149	108	and	and	CCONJ
ejpam-5981	149	109	bic	bic	PROPN
ejpam-5981	149	110	statistic	statistic	NOUN
ejpam-5981	149	111	and	and	CCONJ
ejpam-5981	149	112	the	the	PRON
ejpam-5981	149	113	of	of	ADP
ejpam-5981	149	114	the	the	DET
ejpam-5981	149	115	fitted	fit	VERB
ejpam-5981	149	116	distributions	distribution	NOUN
ejpam-5981	149	117	distribution	distribution	NOUN
ejpam-5981	149	118	−2	−2	NOUN
ejpam-5981	149	119	lnl	lnl	PROPN
ejpam-5981	149	120	kss	kss	PROPN
ejpam-5981	149	121	p	p	PROPN
ejpam-5981	149	122	-	-	PUNCT
ejpam-5981	149	123	value	value	NOUN
ejpam-5981	149	124	aic	aic	PROPN
ejpam-5981	149	125	bic	bic	PROPN
ejpam-5981	149	126	α−re	α−re	PROPN
ejpam-5981	150	1	242.5566	242.5566	NUM
ejpam-5981	150	2	0.08946	0.08946	NUM
ejpam-5981	150	3	0.5472	0.5472	NUM
ejpam-5981	150	4	246.5567	246.5567	NUM
ejpam-5981	150	5	251.2182	251.2182	NUM
ejpam-5981	150	6	gamma	gamma	NOUN
ejpam-5981	150	7	244.499	244.499	NUM
ejpam-5981	150	8	0.09614	0.09614	NUM
ejpam-5981	150	9	0.4554	0.4554	NUM
ejpam-5981	150	10	248.4987	248.4987	NUM
ejpam-5981	150	11	253.1602	253.1602	NUM
ejpam-5981	150	12	weibull	weibull	NOUN
ejpam-5981	150	13	245.049	245.049	NUM
ejpam-5981	150	14	0.1101	0.1101	NUM
ejpam-5981	150	15	0.2937	0.2937	NUM
ejpam-5981	150	16	249.0494	249.0494	NUM
ejpam-5981	150	17	253.7109	253.7109	NUM
ejpam-5981	150	18	exponential	exponential	NOUN
ejpam-5981	150	19	185.3168	185.3168	NUM
ejpam-5981	150	20	0.1663	0.1663	NUM
ejpam-5981	150	21	0.0299	0.0299	NUM
ejpam-5981	150	22	256.2289	256.2289	NUM
ejpam-5981	150	23	258.5594	258.5594	NUM
ejpam-5981	150	24	it	it	PRON
ejpam-5981	150	25	can	can	AUX
ejpam-5981	150	26	be	be	AUX
ejpam-5981	150	27	observed	observe	VERB
ejpam-5981	150	28	that	that	SCONJ
ejpam-5981	150	29	the	the	DET
ejpam-5981	150	30	α−re	α−re	PROPN
ejpam-5981	150	31	distribution	distribution	NOUN
ejpam-5981	150	32	has	have	VERB
ejpam-5981	150	33	minimum	minimum	ADJ
ejpam-5981	150	34	values	value	NOUN
ejpam-5981	150	35	of	of	ADP
ejpam-5981	150	36	:	:	PUNCT
ejpam-5981	150	37	−2	−2	PROPN
ejpam-5981	150	38	lnl	lnl	PROPN
ejpam-5981	150	39	,	,	PUNCT
ejpam-5981	150	40	kss	kss	PROPN
ejpam-5981	150	41	,	,	PUNCT
ejpam-5981	150	42	p−	p−	NOUN
ejpam-5981	150	43	value	value	NOUN
ejpam-5981	150	44	,	,	PUNCT
ejpam-5981	150	45	aic	aic	PROPN
ejpam-5981	150	46	,	,	PUNCT
ejpam-5981	150	47	and	and	CCONJ
ejpam-5981	150	48	bic	bic	PROPN
ejpam-5981	150	49	and	and	CCONJ
ejpam-5981	150	50	the	the	DET
ejpam-5981	150	51	largest	large	ADJ
ejpam-5981	150	52	p	p	NOUN
ejpam-5981	150	53	−	−	PROPN
ejpam-5981	150	54	value	value	NOUN
ejpam-5981	150	55	among	among	ADP
ejpam-5981	150	56	all	all	DET
ejpam-5981	150	57	other	other	ADJ
ejpam-5981	150	58	distribution	distribution	NOUN
ejpam-5981	150	59	.	.	PUNCT
ejpam-5981	151	1	consequently	consequently	ADV
ejpam-5981	151	2	,	,	PUNCT
ejpam-5981	151	3	the	the	PRON
ejpam-5981	151	4	α−re	α−re	PROPN
ejpam-5981	151	5	distribution	distribution	NOUN
ejpam-5981	151	6	is	be	AUX
ejpam-5981	151	7	more	more	ADV
ejpam-5981	151	8	adequate	adequate	ADJ
ejpam-5981	151	9	to	to	PART
ejpam-5981	151	10	fit	fit	VERB
ejpam-5981	151	11	this	this	DET
ejpam-5981	151	12	real	real	ADJ
ejpam-5981	151	13	data	datum	NOUN
ejpam-5981	151	14	.	.	PUNCT
ejpam-5981	152	1	table	table	NOUN
ejpam-5981	152	2	3	3	NUM
ejpam-5981	152	3	:	:	PUNCT
ejpam-5981	152	4	the	the	DET
ejpam-5981	152	5	parameter	parameter	NOUN
ejpam-5981	152	6	estimates	estimate	NOUN
ejpam-5981	152	7	and	and	CCONJ
ejpam-5981	152	8	standard	standard	ADJ
ejpam-5981	152	9	errors	error	NOUN
ejpam-5981	152	10	of	of	ADP
ejpam-5981	152	11	the	the	DET
ejpam-5981	152	12	distributions	distribution	NOUN
ejpam-5981	152	13	considered	consider	VERB
ejpam-5981	152	14	.	.	PUNCT
ejpam-5981	153	1	distribution	distribution	NOUN
ejpam-5981	153	2	estimates	estimate	NOUN
ejpam-5981	153	3	of	of	ADP
ejpam-5981	153	4	the	the	DET
ejpam-5981	153	5	parameters	parameter	NOUN
ejpam-5981	153	6	std	std	NOUN
ejpam-5981	153	7	error	error	NOUN
ejpam-5981	153	8	α−re	α−re	NUM
ejpam-5981	153	9	θ	θ	NOUN
ejpam-5981	153	10	=	=	SYM
ejpam-5981	153	11	0.805	0.805	NUM
ejpam-5981	153	12	0.0846	0.0846	NUM
ejpam-5981	153	13	α	α	NOUN
ejpam-5981	153	14	=	=	SYM
ejpam-5981	153	15	2.250	2.250	NUM
ejpam-5981	153	16	0.2797	0.2797	NUM
ejpam-5981	153	17	gamma	gamma	NOUN
ejpam-5981	153	18	α	α	NOUN
ejpam-5981	153	19	=	=	PROPN
ejpam-5981	153	20	1.6406	1.6406	NUM
ejpam-5981	153	21	0.2439	0.2439	NUM
ejpam-5981	153	22	β	β	X
ejpam-5981	153	23	=	=	SYM
ejpam-5981	153	24	1.1941	1.1941	NUM
ejpam-5981	153	25	0.2072	0.2072	NUM
ejpam-5981	153	26	weibull	weibull	NOUN
ejpam-5981	153	27	α	α	NOUN
ejpam-5981	153	28	=	=	SYM
ejpam-5981	153	29	1.3258	1.3258	NUM
ejpam-5981	153	30	0.1138	0.1138	NUM
ejpam-5981	153	31	β	β	X
ejpam-5981	153	32	=	=	SYM
ejpam-5981	153	33	2.1336	2.1336	NUM
ejpam-5981	153	34	0.1946	0.1946	NUM
ejpam-5981	153	35	exponential	exponential	NOUN
ejpam-5981	153	36	θ	θ	NOUN
ejpam-5981	153	37	=	=	PUNCT
ejpam-5981	153	38	0.5104	0.5104	NUM
ejpam-5981	153	39	0.0586	0.0586	NUM
ejpam-5981	153	40	in	in	ADP
ejpam-5981	153	41	table	table	NOUN
ejpam-5981	153	42	3	3	NUM
ejpam-5981	153	43	,	,	PUNCT
ejpam-5981	153	44	we	we	PRON
ejpam-5981	153	45	present	present	VERB
ejpam-5981	153	46	the	the	DET
ejpam-5981	153	47	mles	mle	NOUN
ejpam-5981	153	48	of	of	ADP
ejpam-5981	153	49	the	the	DET
ejpam-5981	153	50	parameters	parameter	NOUN
ejpam-5981	153	51	of	of	ADP
ejpam-5981	153	52	the	the	DET
ejpam-5981	153	53	α	α	NOUN
ejpam-5981	153	54	−	−	NOUN
ejpam-5981	153	55	re	re	NOUN
ejpam-5981	153	56	and	and	CCONJ
ejpam-5981	153	57	the	the	DET
ejpam-5981	153	58	other	other	ADJ
ejpam-5981	153	59	existing	exist	VERB
ejpam-5981	153	60	distributions	distribution	NOUN
ejpam-5981	153	61	with	with	ADP
ejpam-5981	153	62	their	their	PRON
ejpam-5981	153	63	corresponding	corresponding	ADJ
ejpam-5981	153	64	standard	standard	ADJ
ejpam-5981	153	65	error	error	NOUN
ejpam-5981	153	66	.	.	PUNCT
ejpam-5981	154	1	m.	m.	PROPN
ejpam-5981	154	2	ahmad	ahmad	PROPN
ejpam-5981	154	3	,	,	PUNCT
ejpam-5981	154	4	m.	m.	NOUN
ejpam-5981	154	5	a.	a.	NOUN
ejpam-5981	154	6	amleh	amleh	PROPN
ejpam-5981	154	7	/	/	SYM
ejpam-5981	154	8	eur	eur	PROPN
ejpam-5981	154	9	.	.	PUNCT
ejpam-5981	155	1	j.	j.	PROPN
ejpam-5981	155	2	pure	pure	PROPN
ejpam-5981	155	3	appl	appl	PROPN
ejpam-5981	155	4	.	.	PROPN
ejpam-5981	155	5	math	math	PROPN
ejpam-5981	155	6	,	,	PUNCT
ejpam-5981	155	7	18	18	NUM
ejpam-5981	155	8	(	(	PUNCT
ejpam-5981	155	9	2	2	NUM
ejpam-5981	155	10	)	)	PUNCT
ejpam-5981	155	11	(	(	PUNCT
ejpam-5981	155	12	2025	2025	NUM
ejpam-5981	155	13	)	)	PUNCT
ejpam-5981	155	14	,	,	PUNCT
ejpam-5981	155	15	5981	5981	NUM
ejpam-5981	155	16	11	11	NUM
ejpam-5981	155	17	of	of	ADP
ejpam-5981	155	18	16	16	NUM
ejpam-5981	155	19	figure	figure	NOUN
ejpam-5981	155	20	5	5	NUM
ejpam-5981	155	21	:	:	PUNCT
ejpam-5981	155	22	presents	present	VERB
ejpam-5981	155	23	plots	plot	NOUN
ejpam-5981	155	24	of	of	ADP
ejpam-5981	155	25	the	the	DET
ejpam-5981	155	26	estimated	estimate	VERB
ejpam-5981	155	27	pdfs	pdfs	NOUN
ejpam-5981	155	28	with	with	ADP
ejpam-5981	155	29	the	the	DET
ejpam-5981	155	30	data	data	NOUN
ejpam-5981	155	31	set	set	VERB
ejpam-5981	155	32	.	.	PUNCT
ejpam-5981	156	1	m.	m.	PROPN
ejpam-5981	156	2	ahmad	ahmad	PROPN
ejpam-5981	156	3	,	,	PUNCT
ejpam-5981	156	4	m.	m.	NOUN
ejpam-5981	156	5	a.	a.	NOUN
ejpam-5981	156	6	amleh	amleh	PROPN
ejpam-5981	156	7	/	/	SYM
ejpam-5981	156	8	eur	eur	PROPN
ejpam-5981	156	9	.	.	PUNCT
ejpam-5981	157	1	j.	j.	PROPN
ejpam-5981	157	2	pure	pure	PROPN
ejpam-5981	157	3	appl	appl	PROPN
ejpam-5981	157	4	.	.	PROPN
ejpam-5981	157	5	math	math	PROPN
ejpam-5981	157	6	,	,	PUNCT
ejpam-5981	157	7	18	18	NUM
ejpam-5981	157	8	(	(	PUNCT
ejpam-5981	157	9	2	2	NUM
ejpam-5981	157	10	)	)	PUNCT
ejpam-5981	157	11	(	(	PUNCT
ejpam-5981	157	12	2025	2025	NUM
ejpam-5981	157	13	)	)	PUNCT
ejpam-5981	157	14	,	,	PUNCT
ejpam-5981	157	15	5981	5981	NUM
ejpam-5981	157	16	12	12	NUM
ejpam-5981	157	17	of	of	ADP
ejpam-5981	157	18	16	16	NUM
ejpam-5981	157	19	figure	figure	NOUN
ejpam-5981	157	20	6	6	NUM
ejpam-5981	157	21	:	:	PUNCT
ejpam-5981	157	22	shows	show	VERB
ejpam-5981	157	23	the	the	DET
ejpam-5981	157	24	cdfs	cdfs	PROPN
ejpam-5981	157	25	for	for	ADP
ejpam-5981	157	26	the	the	DET
ejpam-5981	157	27	four	four	NUM
ejpam-5981	157	28	distribution	distribution	NOUN
ejpam-5981	157	29	functions	function	NOUN
ejpam-5981	157	30	.	.	PUNCT
ejpam-5981	158	1	figures	figure	NOUN
ejpam-5981	158	2	5	5	NUM
ejpam-5981	158	3	and	and	CCONJ
ejpam-5981	158	4	6	6	NUM
ejpam-5981	158	5	display	display	NOUN
ejpam-5981	158	6	the	the	DET
ejpam-5981	158	7	pdf	pdf	NOUN
ejpam-5981	158	8	and	and	CCONJ
ejpam-5981	158	9	the	the	DET
ejpam-5981	158	10	cdf	cdf	PROPN
ejpam-5981	158	11	of	of	ADP
ejpam-5981	158	12	the	the	DET
ejpam-5981	158	13	α	α	NOUN
ejpam-5981	158	14	−	−	NOUN
ejpam-5981	158	15	re	re	ADP
ejpam-5981	158	16	distribution	distribution	NOUN
ejpam-5981	158	17	alongside	alongside	ADP
ejpam-5981	158	18	alternative	alternative	ADJ
ejpam-5981	158	19	distributions	distribution	NOUN
ejpam-5981	158	20	in	in	ADP
ejpam-5981	158	21	the	the	DET
ejpam-5981	158	22	first	first	ADJ
ejpam-5981	158	23	data	datum	NOUN
ejpam-5981	158	24	set	set	VERB
ejpam-5981	158	25	,	,	PUNCT
ejpam-5981	158	26	respectively	respectively	ADV
ejpam-5981	158	27	.	.	PUNCT
ejpam-5981	159	1	based	base	VERB
ejpam-5981	159	2	on	on	ADP
ejpam-5981	159	3	the	the	DET
ejpam-5981	159	4	plotted	plot	VERB
ejpam-5981	159	5	data	datum	NOUN
ejpam-5981	159	6	,	,	PUNCT
ejpam-5981	159	7	it	it	PRON
ejpam-5981	159	8	is	be	AUX
ejpam-5981	159	9	evident	evident	ADJ
ejpam-5981	159	10	that	that	SCONJ
ejpam-5981	159	11	the	the	DET
ejpam-5981	159	12	α	α	NOUN
ejpam-5981	159	13	−	−	NOUN
ejpam-5981	159	14	re	re	ADP
ejpam-5981	159	15	distribution	distribution	NOUN
ejpam-5981	159	16	provides	provide	VERB
ejpam-5981	159	17	a	a	DET
ejpam-5981	159	18	superior	superior	ADJ
ejpam-5981	159	19	match	match	NOUN
ejpam-5981	159	20	to	to	ADP
ejpam-5981	159	21	the	the	DET
ejpam-5981	159	22	data	datum	NOUN
ejpam-5981	159	23	compared	compare	VERB
ejpam-5981	159	24	to	to	ADP
ejpam-5981	159	25	other	other	ADJ
ejpam-5981	159	26	rival	rival	ADJ
ejpam-5981	159	27	distributions	distribution	NOUN
ejpam-5981	159	28	.	.	PUNCT
ejpam-5981	160	1	6.2	6.2	NUM
ejpam-5981	160	2	.	.	PUNCT
ejpam-5981	160	3	example	example	NOUN
ejpam-5981	160	4	2	2	NUM
ejpam-5981	160	5	the	the	DET
ejpam-5981	160	6	second	second	ADJ
ejpam-5981	160	7	data	datum	NOUN
ejpam-5981	160	8	set	set	VERB
ejpam-5981	160	9	represents	represent	VERB
ejpam-5981	160	10	the	the	DET
ejpam-5981	160	11	survival	survival	NOUN
ejpam-5981	160	12	times	time	NOUN
ejpam-5981	160	13	of	of	ADP
ejpam-5981	160	14	121	121	NUM
ejpam-5981	160	15	patients	patient	NOUN
ejpam-5981	160	16	suffering	suffer	VERB
ejpam-5981	160	17	from	from	ADP
ejpam-5981	160	18	breast	breast	NOUN
ejpam-5981	160	19	cancer	cancer	NOUN
ejpam-5981	160	20	collected	collect	VERB
ejpam-5981	160	21	from	from	ADP
ejpam-5981	160	22	a	a	DET
ejpam-5981	160	23	large	large	ADJ
ejpam-5981	160	24	hospital	hospital	NOUN
ejpam-5981	160	25	in	in	ADP
ejpam-5981	160	26	a	a	DET
ejpam-5981	160	27	period	period	NOUN
ejpam-5981	160	28	from	from	ADP
ejpam-5981	160	29	1929	1929	NUM
ejpam-5981	160	30	-	-	SYM
ejpam-5981	160	31	1938	1938	NUM
ejpam-5981	160	32	[	[	X
ejpam-5981	160	33	15	15	NUM
ejpam-5981	160	34	]	]	PUNCT
ejpam-5981	160	35	.	.	PUNCT
ejpam-5981	161	1	the	the	DET
ejpam-5981	161	2	times	time	NOUN
ejpam-5981	161	3	are	be	AUX
ejpam-5981	161	4	reported	report	VERB
ejpam-5981	161	5	as	as	SCONJ
ejpam-5981	161	6	follows	follow	VERB
ejpam-5981	161	7	:	:	PUNCT
ejpam-5981	161	8	m.	m.	NOUN
ejpam-5981	161	9	ahmad	ahmad	PROPN
ejpam-5981	161	10	,	,	PUNCT
ejpam-5981	161	11	m.	m.	NOUN
ejpam-5981	161	12	a.	a.	NOUN
ejpam-5981	161	13	amleh	amleh	PROPN
ejpam-5981	161	14	/	/	SYM
ejpam-5981	161	15	eur	eur	PROPN
ejpam-5981	161	16	.	.	PUNCT
ejpam-5981	162	1	j.	j.	PROPN
ejpam-5981	162	2	pure	pure	PROPN
ejpam-5981	162	3	appl	appl	PROPN
ejpam-5981	162	4	.	.	PROPN
ejpam-5981	162	5	math	math	PROPN
ejpam-5981	162	6	,	,	PUNCT
ejpam-5981	162	7	18	18	NUM
ejpam-5981	162	8	(	(	PUNCT
ejpam-5981	162	9	2	2	NUM
ejpam-5981	162	10	)	)	PUNCT
ejpam-5981	162	11	(	(	PUNCT
ejpam-5981	162	12	2025	2025	NUM
ejpam-5981	162	13	)	)	PUNCT
ejpam-5981	162	14	,	,	PUNCT
ejpam-5981	162	15	5981	5981	NUM
ejpam-5981	162	16	13	13	NUM
ejpam-5981	162	17	of	of	ADP
ejpam-5981	162	18	16	16	NUM
ejpam-5981	162	19	example	example	NOUN
ejpam-5981	162	20	2	2	NUM
ejpam-5981	162	21	0.3	0.3	NUM
ejpam-5981	162	22	0.3	0.3	NUM
ejpam-5981	162	23	4.0	4.0	NUM
ejpam-5981	162	24	5.0	5.0	NUM
ejpam-5981	162	25	5.6	5.6	NUM
ejpam-5981	162	26	6.2	6.2	NUM
ejpam-5981	162	27	6.3	6.3	NUM
ejpam-5981	162	28	6.6	6.6	NUM
ejpam-5981	162	29	6.8	6.8	NUM
ejpam-5981	162	30	7.4	7.4	NUM
ejpam-5981	162	31	7.5	7.5	NUM
ejpam-5981	162	32	8.4	8.4	NUM
ejpam-5981	162	33	8.4	8.4	NUM
ejpam-5981	162	34	10.3	10.3	NUM
ejpam-5981	162	35	11.0	11.0	NUM
ejpam-5981	162	36	11.8	11.8	NUM
ejpam-5981	162	37	12.2	12.2	NUM
ejpam-5981	162	38	12.3	12.3	NUM
ejpam-5981	162	39	13.5	13.5	NUM
ejpam-5981	162	40	14.4	14.4	NUM
ejpam-5981	162	41	14.4	14.4	NUM
ejpam-5981	162	42	14.8	14.8	NUM
ejpam-5981	162	43	15.5	15.5	NUM
ejpam-5981	162	44	15.7	15.7	NUM
ejpam-5981	162	45	16.2	16.2	NUM
ejpam-5981	162	46	16.3	16.3	NUM
ejpam-5981	162	47	16.5	16.5	NUM
ejpam-5981	162	48	16.8	16.8	NUM
ejpam-5981	162	49	17.2	17.2	NUM
ejpam-5981	162	50	17.3	17.3	NUM
ejpam-5981	162	51	17.5	17.5	NUM
ejpam-5981	162	52	17.9	17.9	NUM
ejpam-5981	162	53	19.8	19.8	NUM
ejpam-5981	162	54	20.4	20.4	NUM
ejpam-5981	162	55	20.9	20.9	NUM
ejpam-5981	162	56	21.0	21.0	NUM
ejpam-5981	162	57	21.0	21.0	NUM
ejpam-5981	162	58	21.1	21.1	NUM
ejpam-5981	162	59	23.0	23.0	NUM
ejpam-5981	162	60	23.4	23.4	NUM
ejpam-5981	162	61	23.6	23.6	NUM
ejpam-5981	162	62	24.0	24.0	NUM
ejpam-5981	162	63	24.0	24.0	NUM
ejpam-5981	162	64	27.9	27.9	NUM
ejpam-5981	162	65	28.2	28.2	NUM
ejpam-5981	162	66	29.1	29.1	NUM
ejpam-5981	162	67	30.0	30.0	NUM
ejpam-5981	162	68	31.0	31.0	NUM
ejpam-5981	162	69	31.0	31.0	NUM
ejpam-5981	162	70	32.0	32.0	NUM
ejpam-5981	162	71	35.0	35.0	NUM
ejpam-5981	162	72	35.0	35.0	NUM
ejpam-5981	162	73	37.0	37.0	NUM
ejpam-5981	162	74	37.0	37.0	NUM
ejpam-5981	162	75	37.0	37.0	NUM
ejpam-5981	162	76	38.0	38.0	NUM
ejpam-5981	162	77	38.0	38.0	NUM
ejpam-5981	162	78	38.0	38.0	NUM
ejpam-5981	162	79	39.0	39.0	NUM
ejpam-5981	162	80	39.0	39.0	NUM
ejpam-5981	162	81	40.0	40.0	NUM
ejpam-5981	162	82	40.0	40.0	NUM
ejpam-5981	162	83	40.0	40.0	NUM
ejpam-5981	162	84	41.0	41.0	NUM
ejpam-5981	162	85	41.0	41.0	NUM
ejpam-5981	162	86	41.0	41.0	NUM
ejpam-5981	162	87	42.0	42.0	NUM
ejpam-5981	162	88	43.0	43.0	NUM
ejpam-5981	162	89	43.0	43.0	NUM
ejpam-5981	162	90	43.0	43.0	NUM
ejpam-5981	162	91	44.0	44.0	NUM
ejpam-5981	162	92	45.0	45.0	NUM
ejpam-5981	162	93	45.0	45.0	NUM
ejpam-5981	162	94	46.0	46.0	NUM
ejpam-5981	162	95	46.0	46.0	NUM
ejpam-5981	162	96	47.0	47.0	NUM
ejpam-5981	162	97	48.0	48.0	NUM
ejpam-5981	162	98	49.0	49.0	NUM
ejpam-5981	162	99	51.0	51.0	NUM
ejpam-5981	162	100	51.0	51.0	NUM
ejpam-5981	162	101	51.0	51.0	NUM
ejpam-5981	162	102	52.0	52.0	NUM
ejpam-5981	162	103	54.0	54.0	NUM
ejpam-5981	162	104	55.0	55.0	NUM
ejpam-5981	162	105	56.0	56.0	NUM
ejpam-5981	162	106	57.0	57.0	NUM
ejpam-5981	162	107	58.0	58.0	NUM
ejpam-5981	162	108	59.0	59.0	NUM
ejpam-5981	162	109	60.0	60.0	NUM
ejpam-5981	162	110	60.0	60.0	NUM
ejpam-5981	162	111	60.0	60.0	NUM
ejpam-5981	162	112	61.0	61.0	NUM
ejpam-5981	162	113	62.0	62.0	NUM
ejpam-5981	162	114	65.0	65.0	NUM
ejpam-5981	162	115	65.0	65.0	NUM
ejpam-5981	162	116	67.0	67.0	NUM
ejpam-5981	162	117	67.0	67.0	NUM
ejpam-5981	162	118	68.0	68.0	NUM
ejpam-5981	162	119	69.0	69.0	NUM
ejpam-5981	162	120	78.0	78.0	NUM
ejpam-5981	162	121	80.0	80.0	NUM
ejpam-5981	162	122	83.0	83.0	NUM
ejpam-5981	162	123	88.0	88.0	NUM
ejpam-5981	162	124	89.0	89.0	NUM
ejpam-5981	162	125	90.0	90.0	NUM
ejpam-5981	162	126	93.0	93.0	NUM
ejpam-5981	162	127	96.0	96.0	NUM
ejpam-5981	162	128	103.0	103.0	NUM
ejpam-5981	162	129	105.0	105.0	NUM
ejpam-5981	162	130	109.0	109.0	NUM
ejpam-5981	162	131	109.0	109.0	NUM
ejpam-5981	162	132	111.0	111.0	NUM
ejpam-5981	162	133	115.0	115.0	NUM
ejpam-5981	162	134	117.0	117.0	NUM
ejpam-5981	162	135	125.0	125.0	NUM
ejpam-5981	162	136	126.0	126.0	NUM
ejpam-5981	162	137	127.0	127.0	NUM
ejpam-5981	162	138	129.0	129.0	NUM
ejpam-5981	162	139	129.0	129.0	NUM
ejpam-5981	162	140	139.0	139.0	NUM
ejpam-5981	162	141	the	the	DET
ejpam-5981	162	142	results	result	NOUN
ejpam-5981	162	143	of	of	ADP
ejpam-5981	162	144	−2	−2	PROPN
ejpam-5981	162	145	lnl	lnl	PROPN
ejpam-5981	162	146	,	,	PUNCT
ejpam-5981	162	147	kss	kss	PROPN
ejpam-5981	162	148	,	,	PUNCT
ejpam-5981	162	149	p−	p−	NOUN
ejpam-5981	162	150	value	value	NOUN
ejpam-5981	162	151	,	,	PUNCT
ejpam-5981	162	152	aic	aic	PROPN
ejpam-5981	162	153	,	,	PUNCT
ejpam-5981	162	154	and	and	CCONJ
ejpam-5981	162	155	bic	bic	PROPN
ejpam-5981	162	156	for	for	ADP
ejpam-5981	162	157	α−re	α−re	PROPN
ejpam-5981	162	158	,	,	PUNCT
ejpam-5981	162	159	gamma	gamma	NOUN
ejpam-5981	162	160	,	,	PUNCT
ejpam-5981	162	161	weibull	weibull	NOUN
ejpam-5981	162	162	,	,	PUNCT
ejpam-5981	162	163	and	and	CCONJ
ejpam-5981	162	164	exponential	exponential	ADJ
ejpam-5981	162	165	distributions	distribution	NOUN
ejpam-5981	162	166	are	be	AUX
ejpam-5981	162	167	given	give	VERB
ejpam-5981	162	168	in	in	ADP
ejpam-5981	162	169	table	table	NOUN
ejpam-5981	162	170	4	4	NUM
ejpam-5981	162	171	.	.	PUNCT
ejpam-5981	162	172	table	table	NOUN
ejpam-5981	162	173	4	4	NUM
ejpam-5981	162	174	:	:	PUNCT
ejpam-5981	162	175	−2lnl	−2lnl	PROPN
ejpam-5981	162	176	,	,	PUNCT
ejpam-5981	162	177	kss	kss	PROPN
ejpam-5981	162	178	,	,	PUNCT
ejpam-5981	162	179	p−	p−	NOUN
ejpam-5981	162	180	values	value	NOUN
ejpam-5981	162	181	,	,	PUNCT
ejpam-5981	162	182	aic	aic	PROPN
ejpam-5981	162	183	,	,	PUNCT
ejpam-5981	162	184	and	and	CCONJ
ejpam-5981	162	185	bic	bic	PROPN
ejpam-5981	162	186	statistic	statistic	NOUN
ejpam-5981	162	187	and	and	CCONJ
ejpam-5981	162	188	the	the	PRON
ejpam-5981	162	189	of	of	ADP
ejpam-5981	162	190	the	the	DET
ejpam-5981	162	191	fitted	fit	VERB
ejpam-5981	162	192	distributions	distribution	NOUN
ejpam-5981	162	193	distribution	distribution	NOUN
ejpam-5981	162	194	−2	−2	NOUN
ejpam-5981	162	195	lnl	lnl	PROPN
ejpam-5981	162	196	kss	kss	PROPN
ejpam-5981	162	197	p−	p−	NOUN
ejpam-5981	162	198	value	value	NOUN
ejpam-5981	162	199	aic	aic	PROPN
ejpam-5981	162	200	bic	bic	PROPN
ejpam-5981	162	201	α−re	α−re	PROPN
ejpam-5981	162	202	1142.6	1142.6	NUM
ejpam-5981	162	203	0.0577	0.0577	NUM
ejpam-5981	162	204	0.8188	0.8188	NUM
ejpam-5981	162	205	1146.6	1146.6	NUM
ejpam-5981	162	206	1152.2	1152.2	NUM
ejpam-5981	162	207	gamma	gamma	NOUN
ejpam-5981	162	208	1144.5	1144.5	NUM
ejpam-5981	162	209	0.0805	0.0805	NUM
ejpam-5981	162	210	0.4174	0.4174	NUM
ejpam-5981	162	211	1148.5	1148.5	NUM
ejpam-5981	162	212	1154.1	1154.1	NUM
ejpam-5981	162	213	weibull	weibull	NOUN
ejpam-5981	162	214	1142.7	1142.7	NUM
ejpam-5981	162	215	0.06762	0.06762	NUM
ejpam-5981	162	216	0.6427	0.6427	NUM
ejpam-5981	162	217	1146.7	1146.7	NUM
ejpam-5981	162	218	1152.3	1152.3	NUM
ejpam-5981	162	219	exponential	exponential	NOUN
ejpam-5981	162	220	987.6	987.6	NUM
ejpam-5981	162	221	0.3781	0.3781	NUM
ejpam-5981	162	222	0	0	NUM
ejpam-5981	163	1	982.56	982.56	NUM
ejpam-5981	163	2	988.15	988.15	NUM
ejpam-5981	163	3	it	it	PRON
ejpam-5981	163	4	can	can	AUX
ejpam-5981	163	5	be	be	AUX
ejpam-5981	163	6	observed	observe	VERB
ejpam-5981	163	7	that	that	SCONJ
ejpam-5981	163	8	,	,	PUNCT
ejpam-5981	163	9	the	the	DET
ejpam-5981	163	10	α−re	α−re	PROPN
ejpam-5981	163	11	distribution	distribution	NOUN
ejpam-5981	163	12	has	have	VERB
ejpam-5981	163	13	minimum	minimum	ADJ
ejpam-5981	163	14	values	value	NOUN
ejpam-5981	163	15	of:−2lnl	of:−2lnl	ADV
ejpam-5981	163	16	,	,	PUNCT
ejpam-5981	163	17	kss	kss	PROPN
ejpam-5981	163	18	,	,	PUNCT
ejpam-5981	163	19	aic	aic	PROPN
ejpam-5981	163	20	,	,	PUNCT
ejpam-5981	163	21	and	and	CCONJ
ejpam-5981	163	22	bic	bic	PROPN
ejpam-5981	163	23	and	and	CCONJ
ejpam-5981	163	24	the	the	DET
ejpam-5981	163	25	largest	large	ADJ
ejpam-5981	163	26	p−value	p−value	NOUN
ejpam-5981	163	27	among	among	ADP
ejpam-5981	163	28	all	all	DET
ejpam-5981	163	29	other	other	ADJ
ejpam-5981	163	30	distribution	distribution	NOUN
ejpam-5981	163	31	.	.	PUNCT
ejpam-5981	164	1	consequently	consequently	ADV
ejpam-5981	164	2	,	,	PUNCT
ejpam-5981	164	3	the	the	PRON
ejpam-5981	164	4	α−re	α−re	PROPN
ejpam-5981	164	5	distribution	distribution	NOUN
ejpam-5981	164	6	is	be	AUX
ejpam-5981	164	7	more	more	ADV
ejpam-5981	164	8	adequate	adequate	ADJ
ejpam-5981	164	9	to	to	PART
ejpam-5981	164	10	fit	fit	VERB
ejpam-5981	164	11	this	this	DET
ejpam-5981	164	12	real	real	ADJ
ejpam-5981	164	13	data	datum	NOUN
ejpam-5981	164	14	.	.	PUNCT
ejpam-5981	165	1	m.	m.	PROPN
ejpam-5981	165	2	ahmad	ahmad	PROPN
ejpam-5981	165	3	,	,	PUNCT
ejpam-5981	165	4	m.	m.	NOUN
ejpam-5981	165	5	a.	a.	NOUN
ejpam-5981	165	6	amleh	amleh	PROPN
ejpam-5981	165	7	/	/	SYM
ejpam-5981	165	8	eur	eur	PROPN
ejpam-5981	165	9	.	.	PUNCT
ejpam-5981	166	1	j.	j.	PROPN
ejpam-5981	166	2	pure	pure	PROPN
ejpam-5981	166	3	appl	appl	PROPN
ejpam-5981	166	4	.	.	PROPN
ejpam-5981	166	5	math	math	PROPN
ejpam-5981	166	6	,	,	PUNCT
ejpam-5981	166	7	18	18	NUM
ejpam-5981	166	8	(	(	PUNCT
ejpam-5981	166	9	2	2	NUM
ejpam-5981	166	10	)	)	PUNCT
ejpam-5981	166	11	(	(	PUNCT
ejpam-5981	166	12	2025	2025	NUM
ejpam-5981	166	13	)	)	PUNCT
ejpam-5981	166	14	,	,	PUNCT
ejpam-5981	166	15	5981	5981	NUM
ejpam-5981	166	16	14	14	NUM
ejpam-5981	166	17	of	of	ADP
ejpam-5981	166	18	16	16	NUM
ejpam-5981	166	19	table	table	NOUN
ejpam-5981	166	20	5	5	NUM
ejpam-5981	166	21	:	:	PUNCT
ejpam-5981	166	22	the	the	DET
ejpam-5981	166	23	parameter	parameter	NOUN
ejpam-5981	166	24	estimates	estimate	NOUN
ejpam-5981	166	25	and	and	CCONJ
ejpam-5981	166	26	standard	standard	ADJ
ejpam-5981	166	27	errors	error	NOUN
ejpam-5981	166	28	of	of	ADP
ejpam-5981	166	29	the	the	DET
ejpam-5981	166	30	distributions	distribution	NOUN
ejpam-5981	166	31	considered	consider	VERB
ejpam-5981	166	32	.	.	PUNCT
ejpam-5981	167	1	distribution	distribution	NOUN
ejpam-5981	167	2	estimates	estimate	NOUN
ejpam-5981	167	3	of	of	ADP
ejpam-5981	167	4	the	the	DET
ejpam-5981	167	5	parameters	parameter	NOUN
ejpam-5981	167	6	std	std	NOUN
ejpam-5981	167	7	error	error	NOUN
ejpam-5981	167	8	α−re	α−re	NUM
ejpam-5981	167	9	θ	θ	NOUN
ejpam-5981	167	10	=	=	SYM
ejpam-5981	168	1	0.0329	0.0329	NUM
ejpam-5981	168	2	0.0031	0.0031	NUM
ejpam-5981	168	3	α	α	NOUN
ejpam-5981	168	4	=	=	SYM
ejpam-5981	168	5	2.134	2.134	NUM
ejpam-5981	168	6	0.265	0.265	NUM
ejpam-5981	168	7	gamma	gamma	NOUN
ejpam-5981	168	8	α	α	NOUN
ejpam-5981	168	9	=	=	NOUN
ejpam-5981	168	10	1.515	1.515	NUM
ejpam-5981	168	11	0.177	0.177	NUM
ejpam-5981	168	12	β	β	X
ejpam-5981	168	13	=	=	NOUN
ejpam-5981	168	14	29.95	29.95	NUM
ejpam-5981	168	15	4.15	4.15	NUM
ejpam-5981	168	16	weibull	weibull	PROPN
ejpam-5981	168	17	α	α	PROPN
ejpam-5981	168	18	=	=	PROPN
ejpam-5981	168	19	1.317	1.317	NUM
ejpam-5981	168	20	0.0951	0.0951	NUM
ejpam-5981	168	21	β	β	X
ejpam-5981	168	22	=	=	SYM
ejpam-5981	168	23	48.77	48.77	NUM
ejpam-5981	168	24	3.537	3.537	NUM
ejpam-5981	168	25	exponential	exponential	NOUN
ejpam-5981	168	26	b	b	NOUN
ejpam-5981	168	27	=	=	SYM
ejpam-5981	168	28	0.3	0.3	NUM
ejpam-5981	168	29	0.0586	0.0586	NUM
ejpam-5981	168	30	θ	θ	NOUN
ejpam-5981	168	31	=	=	PUNCT
ejpam-5981	168	32	22.1	22.1	NUM
ejpam-5981	168	33	in	in	ADP
ejpam-5981	168	34	table	table	NOUN
ejpam-5981	168	35	5	5	NUM
ejpam-5981	168	36	,	,	PUNCT
ejpam-5981	168	37	we	we	PRON
ejpam-5981	168	38	present	present	VERB
ejpam-5981	168	39	the	the	DET
ejpam-5981	168	40	mles	mle	NOUN
ejpam-5981	168	41	of	of	ADP
ejpam-5981	168	42	the	the	DET
ejpam-5981	168	43	parameters	parameter	NOUN
ejpam-5981	168	44	of	of	ADP
ejpam-5981	168	45	the	the	DET
ejpam-5981	168	46	α−re	α−re	PROPN
ejpam-5981	168	47	and	and	CCONJ
ejpam-5981	168	48	the	the	DET
ejpam-5981	168	49	other	other	ADJ
ejpam-5981	168	50	existing	exist	VERB
ejpam-5981	168	51	distributions	distribution	NOUN
ejpam-5981	168	52	with	with	ADP
ejpam-5981	168	53	their	their	PRON
ejpam-5981	168	54	corresponding	corresponding	ADJ
ejpam-5981	168	55	standard	standard	ADJ
ejpam-5981	168	56	error	error	NOUN
ejpam-5981	168	57	.	.	PUNCT
ejpam-5981	169	1	figure	figure	NOUN
ejpam-5981	169	2	7	7	NUM
ejpam-5981	169	3	:	:	PUNCT
ejpam-5981	169	4	presents	present	VERB
ejpam-5981	169	5	plots	plot	NOUN
ejpam-5981	169	6	of	of	ADP
ejpam-5981	169	7	the	the	DET
ejpam-5981	169	8	estimated	estimate	VERB
ejpam-5981	169	9	pdfs	pdfs	NOUN
ejpam-5981	169	10	with	with	ADP
ejpam-5981	169	11	the	the	DET
ejpam-5981	169	12	data	data	NOUN
ejpam-5981	169	13	set	set	VERB
ejpam-5981	169	14	.	.	PUNCT
ejpam-5981	170	1	m.	m.	PROPN
ejpam-5981	170	2	ahmad	ahmad	PROPN
ejpam-5981	170	3	,	,	PUNCT
ejpam-5981	170	4	m.	m.	NOUN
ejpam-5981	170	5	a.	a.	NOUN
ejpam-5981	170	6	amleh	amleh	PROPN
ejpam-5981	170	7	/	/	SYM
ejpam-5981	170	8	eur	eur	PROPN
ejpam-5981	170	9	.	.	PUNCT
ejpam-5981	171	1	j.	j.	PROPN
ejpam-5981	171	2	pure	pure	PROPN
ejpam-5981	171	3	appl	appl	PROPN
ejpam-5981	171	4	.	.	PROPN
ejpam-5981	171	5	math	math	PROPN
ejpam-5981	171	6	,	,	PUNCT
ejpam-5981	171	7	18	18	NUM
ejpam-5981	171	8	(	(	PUNCT
ejpam-5981	171	9	2	2	NUM
ejpam-5981	171	10	)	)	PUNCT
ejpam-5981	171	11	(	(	PUNCT
ejpam-5981	171	12	2025	2025	NUM
ejpam-5981	171	13	)	)	PUNCT
ejpam-5981	171	14	,	,	PUNCT
ejpam-5981	171	15	5981	5981	NUM
ejpam-5981	171	16	15	15	NUM
ejpam-5981	171	17	of	of	ADP
ejpam-5981	171	18	16	16	NUM
ejpam-5981	171	19	figure	figure	NOUN
ejpam-5981	171	20	8	8	NUM
ejpam-5981	171	21	:	:	PUNCT
ejpam-5981	171	22	shows	show	VERB
ejpam-5981	171	23	the	the	DET
ejpam-5981	171	24	cdfs	cdfs	PROPN
ejpam-5981	171	25	for	for	ADP
ejpam-5981	171	26	the	the	DET
ejpam-5981	171	27	four	four	NUM
ejpam-5981	171	28	distribution	distribution	NOUN
ejpam-5981	171	29	functions	function	NOUN
ejpam-5981	171	30	.	.	PUNCT
ejpam-5981	172	1	figures	figure	NOUN
ejpam-5981	172	2	7	7	NUM
ejpam-5981	172	3	and	and	CCONJ
ejpam-5981	172	4	8	8	NUM
ejpam-5981	172	5	display	display	VERB
ejpam-5981	172	6	the	the	DET
ejpam-5981	172	7	pdf	pdf	NOUN
ejpam-5981	172	8	and	and	CCONJ
ejpam-5981	172	9	the	the	DET
ejpam-5981	172	10	cdf	cdf	PROPN
ejpam-5981	172	11	of	of	ADP
ejpam-5981	172	12	the	the	DET
ejpam-5981	172	13	α	α	NOUN
ejpam-5981	172	14	−	−	NOUN
ejpam-5981	172	15	re	re	ADP
ejpam-5981	172	16	distribution	distribution	NOUN
ejpam-5981	172	17	alongside	alongside	ADP
ejpam-5981	172	18	alternative	alternative	ADJ
ejpam-5981	172	19	distributions	distribution	NOUN
ejpam-5981	172	20	in	in	ADP
ejpam-5981	172	21	the	the	DET
ejpam-5981	172	22	first	first	ADJ
ejpam-5981	172	23	data	datum	NOUN
ejpam-5981	172	24	set	set	VERB
ejpam-5981	172	25	,	,	PUNCT
ejpam-5981	172	26	respectively	respectively	ADV
ejpam-5981	172	27	.	.	PUNCT
ejpam-5981	173	1	based	base	VERB
ejpam-5981	173	2	on	on	ADP
ejpam-5981	173	3	the	the	DET
ejpam-5981	173	4	plotted	plot	VERB
ejpam-5981	173	5	data	datum	NOUN
ejpam-5981	173	6	,	,	PUNCT
ejpam-5981	173	7	it	it	PRON
ejpam-5981	173	8	is	be	AUX
ejpam-5981	173	9	evident	evident	ADJ
ejpam-5981	173	10	that	that	SCONJ
ejpam-5981	173	11	the	the	DET
ejpam-5981	173	12	α	α	NOUN
ejpam-5981	173	13	−	−	NOUN
ejpam-5981	173	14	re	re	ADP
ejpam-5981	173	15	distribution	distribution	NOUN
ejpam-5981	173	16	provides	provide	VERB
ejpam-5981	173	17	a	a	DET
ejpam-5981	173	18	superior	superior	ADJ
ejpam-5981	173	19	match	match	NOUN
ejpam-5981	173	20	to	to	ADP
ejpam-5981	173	21	the	the	DET
ejpam-5981	173	22	data	datum	NOUN
ejpam-5981	173	23	compared	compare	VERB
ejpam-5981	173	24	to	to	ADP
ejpam-5981	173	25	other	other	ADJ
ejpam-5981	173	26	rival	rival	ADJ
ejpam-5981	173	27	distributions	distribution	NOUN
ejpam-5981	173	28	.	.	PUNCT
ejpam-5981	174	1	acknowledgements	acknowledgement	NOUN
ejpam-5981	174	2	this	this	DET
ejpam-5981	174	3	research	research	NOUN
ejpam-5981	174	4	was	be	AUX
ejpam-5981	174	5	carried	carry	VERB
ejpam-5981	174	6	out	out	ADP
ejpam-5981	174	7	during	during	ADP
ejpam-5981	174	8	the	the	DET
ejpam-5981	174	9	first	first	ADJ
ejpam-5981	174	10	author	author	NOUN
ejpam-5981	174	11	’s	’s	PART
ejpam-5981	174	12	sabbatical	sabbatical	ADJ
ejpam-5981	174	13	leave	leave	NOUN
ejpam-5981	174	14	from	from	ADP
ejpam-5981	174	15	the	the	DET
ejpam-5981	174	16	university	university	PROPN
ejpam-5981	174	17	of	of	ADP
ejpam-5981	174	18	jordan	jordan	PROPN
ejpam-5981	174	19	to	to	ADP
ejpam-5981	174	20	zarqa	zarqa	PROPN
ejpam-5981	174	21	university	university	PROPN
ejpam-5981	174	22	.	.	PUNCT
ejpam-5981	175	1	the	the	DET
ejpam-5981	175	2	authors	author	NOUN
ejpam-5981	175	3	thank	thank	VERB
ejpam-5981	175	4	the	the	DET
ejpam-5981	175	5	editor	editor	NOUN
ejpam-5981	175	6	and	and	CCONJ
ejpam-5981	175	7	anonymous	anonymous	ADJ
ejpam-5981	175	8	reviewers	reviewer	NOUN
ejpam-5981	175	9	for	for	ADP
ejpam-5981	175	10	their	their	PRON
ejpam-5981	175	11	comments	comment	NOUN
ejpam-5981	175	12	that	that	PRON
ejpam-5981	175	13	helped	helped	AUX
ejpam-5981	175	14	improve	improve	VERB
ejpam-5981	175	15	the	the	DET
ejpam-5981	175	16	quality	quality	NOUN
ejpam-5981	175	17	of	of	ADP
ejpam-5981	175	18	this	this	DET
ejpam-5981	175	19	work	work	NOUN
ejpam-5981	175	20	.	.	PUNCT
ejpam-5981	176	1	references	reference	NOUN
ejpam-5981	176	2	[	[	X
ejpam-5981	176	3	1	1	NUM
ejpam-5981	176	4	]	]	X
ejpam-5981	176	5	m	m	VERB
ejpam-5981	176	6	ahmad	ahmad	NOUN
ejpam-5981	176	7	and	and	CCONJ
ejpam-5981	176	8	a	a	DET
ejpam-5981	176	9	asha	asha	PROPN
ejpam-5981	176	10	.	.	PUNCT
ejpam-5981	177	1	generating	generate	VERB
ejpam-5981	177	2	new	new	ADJ
ejpam-5981	177	3	families	family	NOUN
ejpam-5981	177	4	of	of	ADP
ejpam-5981	177	5	distributions	distribution	NOUN
ejpam-5981	177	6	using	use	VERB
ejpam-5981	177	7	the	the	DET
ejpam-5981	177	8	exponential	exponential	ADJ
ejpam-5981	177	9	reliability	reliability	NOUN
ejpam-5981	177	10	method	method	NOUN
ejpam-5981	177	11	.	.	PUNCT
ejpam-5981	178	1	boletim	boletim	PROPN
ejpam-5981	178	2	da	da	PROPN
ejpam-5981	178	3	sociedade	sociedade	PROPN
ejpam-5981	178	4	paranaense	paranaense	PROPN
ejpam-5981	178	5	de	de	PROPN
ejpam-5981	178	6	matemática	matemática	PROPN
ejpam-5981	178	7	,	,	PUNCT
ejpam-5981	178	8	2024	2024	NUM
ejpam-5981	178	9	.	.	PUNCT
ejpam-5981	179	1	to	to	PART
ejpam-5981	179	2	be	be	AUX
ejpam-5981	179	3	published	publish	VERB
ejpam-5981	179	4	.	.	PUNCT
ejpam-5981	180	1	[	[	X
ejpam-5981	180	2	2	2	NUM
ejpam-5981	180	3	]	]	X
ejpam-5981	180	4	m	m	VERB
ejpam-5981	180	5	a	a	DET
ejpam-5981	180	6	aljarrah	aljarrah	PROPN
ejpam-5981	180	7	,	,	PUNCT
ejpam-5981	180	8	c	c	PROPN
ejpam-5981	180	9	lee	lee	PROPN
ejpam-5981	180	10	,	,	PUNCT
ejpam-5981	180	11	and	and	CCONJ
ejpam-5981	180	12	f	f	PROPN
ejpam-5981	180	13	famoye	famoye	NOUN
ejpam-5981	180	14	.	.	PUNCT
ejpam-5981	181	1	on	on	ADP
ejpam-5981	181	2	generating	generate	VERB
ejpam-5981	181	3	tx	tx	PROPN
ejpam-5981	181	4	family	family	NOUN
ejpam-5981	181	5	of	of	ADP
ejpam-5981	181	6	distributions	distribution	NOUN
ejpam-5981	181	7	using	use	VERB
ejpam-5981	181	8	quantile	quantile	ADJ
ejpam-5981	181	9	functions	function	NOUN
ejpam-5981	181	10	.	.	PUNCT
ejpam-5981	182	1	journal	journal	NOUN
ejpam-5981	182	2	of	of	ADP
ejpam-5981	182	3	statistical	statistical	ADJ
ejpam-5981	182	4	distributions	distribution	NOUN
ejpam-5981	182	5	and	and	CCONJ
ejpam-5981	182	6	applications	application	NOUN
ejpam-5981	182	7	,	,	PUNCT
ejpam-5981	182	8	1:1–17	1:1–17	NUM
ejpam-5981	182	9	,	,	PUNCT
ejpam-5981	182	10	2014	2014	NUM
ejpam-5981	182	11	.	.	PUNCT
ejpam-5981	183	1	[	[	X
ejpam-5981	183	2	3	3	X
ejpam-5981	183	3	]	]	PUNCT
ejpam-5981	183	4	n	n	PRON
ejpam-5981	183	5	eugene	eugene	NOUN
ejpam-5981	183	6	,	,	PUNCT
ejpam-5981	183	7	c	c	PROPN
ejpam-5981	183	8	lee	lee	PROPN
ejpam-5981	183	9	,	,	PUNCT
ejpam-5981	183	10	and	and	CCONJ
ejpam-5981	183	11	f	f	PROPN
ejpam-5981	183	12	famoye	famoye	NOUN
ejpam-5981	183	13	.	.	PUNCT
ejpam-5981	184	1	beta	beta	NOUN
ejpam-5981	184	2	-	-	PUNCT
ejpam-5981	184	3	normal	normal	ADJ
ejpam-5981	184	4	distribution	distribution	NOUN
ejpam-5981	184	5	and	and	CCONJ
ejpam-5981	184	6	its	its	PRON
ejpam-5981	184	7	applications	application	NOUN
ejpam-5981	184	8	.	.	PUNCT
ejpam-5981	185	1	communications	communication	NOUN
ejpam-5981	185	2	in	in	ADP
ejpam-5981	185	3	statistics	statistic	NOUN
ejpam-5981	185	4	-	-	PUNCT
ejpam-5981	185	5	theory	theory	NOUN
ejpam-5981	185	6	and	and	CCONJ
ejpam-5981	185	7	methods	method	NOUN
ejpam-5981	185	8	,	,	PUNCT
ejpam-5981	185	9	31:497–512	31:497–512	PROPN
ejpam-5981	185	10	,	,	PUNCT
ejpam-5981	185	11	2002	2002	NUM
ejpam-5981	185	12	.	.	PUNCT
ejpam-5981	186	1	m.	m.	PROPN
ejpam-5981	186	2	ahmad	ahmad	PROPN
ejpam-5981	186	3	,	,	PUNCT
ejpam-5981	186	4	m.	m.	NOUN
ejpam-5981	186	5	a.	a.	NOUN
ejpam-5981	186	6	amleh	amleh	PROPN
ejpam-5981	186	7	/	/	SYM
ejpam-5981	186	8	eur	eur	PROPN
ejpam-5981	186	9	.	.	PUNCT
ejpam-5981	187	1	j.	j.	PROPN
ejpam-5981	187	2	pure	pure	PROPN
ejpam-5981	187	3	appl	appl	PROPN
ejpam-5981	187	4	.	.	PROPN
ejpam-5981	187	5	math	math	PROPN
ejpam-5981	187	6	,	,	PUNCT
ejpam-5981	187	7	18	18	NUM
ejpam-5981	187	8	(	(	PUNCT
ejpam-5981	187	9	2	2	NUM
ejpam-5981	187	10	)	)	PUNCT
ejpam-5981	187	11	(	(	PUNCT
ejpam-5981	187	12	2025	2025	NUM
ejpam-5981	187	13	)	)	PUNCT
ejpam-5981	187	14	,	,	PUNCT
ejpam-5981	187	15	5981	5981	NUM
ejpam-5981	187	16	16	16	NUM
ejpam-5981	187	17	of	of	ADP
ejpam-5981	187	18	16	16	NUM
ejpam-5981	188	1	[	[	X
ejpam-5981	188	2	4	4	NUM
ejpam-5981	188	3	]	]	X
ejpam-5981	188	4	w	w	PROPN
ejpam-5981	188	5	weibull	weibull	PROPN
ejpam-5981	188	6	.	.	PUNCT
ejpam-5981	189	1	a	a	DET
ejpam-5981	189	2	statistical	statistical	ADJ
ejpam-5981	189	3	distribution	distribution	NOUN
ejpam-5981	189	4	function	function	NOUN
ejpam-5981	189	5	of	of	ADP
ejpam-5981	189	6	wide	wide	ADJ
ejpam-5981	189	7	applicability	applicability	NOUN
ejpam-5981	189	8	.	.	PUNCT
ejpam-5981	190	1	journal	journal	PROPN
ejpam-5981	190	2	of	of	ADP
ejpam-5981	190	3	applied	apply	VERB
ejpam-5981	190	4	mechanics	mechanic	NOUN
ejpam-5981	190	5	,	,	PUNCT
ejpam-5981	190	6	1951	1951	NUM
ejpam-5981	190	7	.	.	PUNCT
ejpam-5981	191	1	[	[	X
ejpam-5981	191	2	5	5	NUM
ejpam-5981	191	3	]	]	X
ejpam-5981	191	4	m	m	PROPN
ejpam-5981	191	5	s	s	NOUN
ejpam-5981	191	6	khan	khan	PROPN
ejpam-5981	191	7	and	and	CCONJ
ejpam-5981	191	8	r	r	NOUN
ejpam-5981	191	9	king	king	NOUN
ejpam-5981	191	10	.	.	PUNCT
ejpam-5981	192	1	transmuted	transmute	VERB
ejpam-5981	192	2	modified	modified	ADJ
ejpam-5981	192	3	weibull	weibull	NOUN
ejpam-5981	192	4	distribution	distribution	NOUN
ejpam-5981	192	5	:	:	PUNCT
ejpam-5981	192	6	a	a	DET
ejpam-5981	192	7	generalization	generalization	NOUN
ejpam-5981	192	8	of	of	ADP
ejpam-5981	192	9	the	the	DET
ejpam-5981	192	10	modified	modify	VERB
ejpam-5981	192	11	weibull	weibull	NOUN
ejpam-5981	192	12	probability	probability	NOUN
ejpam-5981	192	13	distribution	distribution	NOUN
ejpam-5981	192	14	.	.	PUNCT
ejpam-5981	193	1	european	european	ADJ
ejpam-5981	193	2	journal	journal	PROPN
ejpam-5981	193	3	of	of	ADP
ejpam-5981	193	4	pure	pure	ADJ
ejpam-5981	193	5	and	and	CCONJ
ejpam-5981	193	6	applied	applied	ADJ
ejpam-5981	193	7	mathematics	mathematic	NOUN
ejpam-5981	193	8	,	,	PUNCT
ejpam-5981	193	9	6:66–88	6:66–88	NUM
ejpam-5981	193	10	,	,	PUNCT
ejpam-5981	193	11	2013	2013	NUM
ejpam-5981	193	12	.	.	PUNCT
ejpam-5981	194	1	[	[	X
ejpam-5981	194	2	6	6	NUM
ejpam-5981	194	3	]	]	X
ejpam-5981	194	4	m	m	PROPN
ejpam-5981	194	5	s	s	X
ejpam-5981	194	6	khan	khan	PROPN
ejpam-5981	194	7	,	,	PUNCT
ejpam-5981	194	8	r	r	NOUN
ejpam-5981	194	9	king	king	NOUN
ejpam-5981	194	10	,	,	PUNCT
ejpam-5981	194	11	and	and	CCONJ
ejpam-5981	194	12	i	i	PROPN
ejpam-5981	194	13	hudson	hudson	PROPN
ejpam-5981	194	14	.	.	PUNCT
ejpam-5981	195	1	characterizations	characterization	NOUN
ejpam-5981	195	2	of	of	ADP
ejpam-5981	195	3	the	the	DET
ejpam-5981	195	4	transmuted	transmuted	ADJ
ejpam-5981	195	5	inverse	inverse	ADJ
ejpam-5981	195	6	weibull	weibull	NOUN
ejpam-5981	195	7	distribution	distribution	NOUN
ejpam-5981	195	8	.	.	PUNCT
ejpam-5981	196	1	anziam	anziam	PROPN
ejpam-5981	196	2	journal	journal	PROPN
ejpam-5981	196	3	,	,	PUNCT
ejpam-5981	196	4	55	55	NUM
ejpam-5981	196	5	:	:	PUNCT
ejpam-5981	196	6	c197	c197	NUM
ejpam-5981	196	7	–	–	PUNCT
ejpam-5981	196	8	c217	c217	PROPN
ejpam-5981	196	9	,	,	PUNCT
ejpam-5981	196	10	2013	2013	NUM
ejpam-5981	196	11	.	.	PUNCT
ejpam-5981	197	1	[	[	X
ejpam-5981	197	2	7	7	X
ejpam-5981	197	3	]	]	X
ejpam-5981	197	4	m	m	VERB
ejpam-5981	197	5	a	a	DET
ejpam-5981	197	6	amleh	amleh	NOUN
ejpam-5981	198	1	and	and	CCONJ
ejpam-5981	198	2	i	i	PROPN
ejpam-5981	198	3	al	al	PROPN
ejpam-5981	198	4	-	-	PUNCT
ejpam-5981	198	5	freihat	freihat	PROPN
ejpam-5981	198	6	.	.	PUNCT
ejpam-5981	199	1	prediction	prediction	NOUN
ejpam-5981	199	2	of	of	ADP
ejpam-5981	199	3	new	new	ADJ
ejpam-5981	199	4	lifetimes	lifetime	NOUN
ejpam-5981	199	5	of	of	ADP
ejpam-5981	199	6	a	a	DET
ejpam-5981	199	7	step	step	NOUN
ejpam-5981	199	8	-	-	PUNCT
ejpam-5981	199	9	stress	stress	NOUN
ejpam-5981	199	10	test	test	NOUN
ejpam-5981	199	11	using	use	VERB
ejpam-5981	199	12	cumulative	cumulative	ADJ
ejpam-5981	199	13	exposure	exposure	NOUN
ejpam-5981	199	14	model	model	NOUN
ejpam-5981	199	15	with	with	ADP
ejpam-5981	199	16	censored	censored	ADJ
ejpam-5981	199	17	gompertz	gompertz	NOUN
ejpam-5981	199	18	data	data	PROPN
ejpam-5981	199	19	.	.	PUNCT
ejpam-5981	200	1	statistics	statistic	NOUN
ejpam-5981	200	2	,	,	PUNCT
ejpam-5981	200	3	optimization	optimization	NOUN
ejpam-5981	200	4	&	&	CCONJ
ejpam-5981	200	5	information	information	NOUN
ejpam-5981	200	6	computing	computing	PROPN
ejpam-5981	200	7	,	,	PUNCT
ejpam-5981	200	8	13(4):1368–1387	13(4):1368–1387	NUM
ejpam-5981	200	9	,	,	PUNCT
ejpam-5981	200	10	2024	2024	NUM
ejpam-5981	200	11	.	.	PUNCT
ejpam-5981	201	1	[	[	X
ejpam-5981	201	2	8	8	NUM
ejpam-5981	201	3	]	]	X
ejpam-5981	201	4	m	m	VERB
ejpam-5981	201	5	ahmad	ahmad	PROPN
ejpam-5981	201	6	.	.	PUNCT
ejpam-5981	202	1	marshall	marshall	PROPN
ejpam-5981	202	2	-	-	PUNCT
ejpam-5981	202	3	olkin	olkin	PROPN
ejpam-5981	202	4	family	family	NOUN
ejpam-5981	202	5	of	of	ADP
ejpam-5981	202	6	distributions	distribution	NOUN
ejpam-5981	202	7	:	:	PUNCT
ejpam-5981	202	8	additional	additional	ADJ
ejpam-5981	202	9	properties	property	NOUN
ejpam-5981	202	10	and	and	CCONJ
ejpam-5981	202	11	comparative	comparative	ADJ
ejpam-5981	202	12	studies	study	NOUN
ejpam-5981	202	13	.	.	PUNCT
ejpam-5981	203	1	boletim	boletim	PROPN
ejpam-5981	203	2	da	da	PROPN
ejpam-5981	203	3	sociedade	sociedade	PROPN
ejpam-5981	203	4	paranaense	paranaense	PROPN
ejpam-5981	203	5	de	de	PROPN
ejpam-5981	203	6	matemática	matemática	PROPN
ejpam-5981	203	7	,	,	PUNCT
ejpam-5981	203	8	40	40	NUM
ejpam-5981	203	9	,	,	PUNCT
ejpam-5981	203	10	2022	2022	NUM
ejpam-5981	203	11	.	.	PUNCT
ejpam-5981	204	1	[	[	X
ejpam-5981	204	2	9	9	NUM
ejpam-5981	204	3	]	]	SYM
ejpam-5981	204	4	h	h	NOUN
ejpam-5981	204	5	akaike	akaike	ADJ
ejpam-5981	204	6	.	.	PUNCT
ejpam-5981	205	1	a	a	DET
ejpam-5981	205	2	new	new	ADJ
ejpam-5981	205	3	look	look	NOUN
ejpam-5981	205	4	at	at	ADP
ejpam-5981	205	5	the	the	DET
ejpam-5981	205	6	statistical	statistical	ADJ
ejpam-5981	205	7	model	model	NOUN
ejpam-5981	205	8	identification	identification	NOUN
ejpam-5981	205	9	.	.	PUNCT
ejpam-5981	206	1	ieee	ieee	NOUN
ejpam-5981	206	2	transactions	transaction	NOUN
ejpam-5981	206	3	on	on	ADP
ejpam-5981	206	4	automatic	automatic	ADJ
ejpam-5981	206	5	control	control	NOUN
ejpam-5981	206	6	,	,	PUNCT
ejpam-5981	206	7	19:716–723	19:716–723	NUM
ejpam-5981	206	8	,	,	PUNCT
ejpam-5981	206	9	1974	1974	NUM
ejpam-5981	206	10	.	.	PUNCT
ejpam-5981	207	1	[	[	X
ejpam-5981	207	2	10	10	NUM
ejpam-5981	207	3	]	]	SYM
ejpam-5981	207	4	n	n	PROPN
ejpam-5981	207	5	l	l	PROPN
ejpam-5981	207	6	johnson	johnson	PROPN
ejpam-5981	207	7	,	,	PUNCT
ejpam-5981	207	8	s	s	PART
ejpam-5981	207	9	kotz	kotz	PROPN
ejpam-5981	207	10	,	,	PUNCT
ejpam-5981	207	11	and	and	CCONJ
ejpam-5981	207	12	n	n	PRON
ejpam-5981	207	13	balakrishnan	balakrishnan	PROPN
ejpam-5981	207	14	.	.	PUNCT
ejpam-5981	208	1	continuous	continuous	ADJ
ejpam-5981	208	2	univariate	univariate	ADJ
ejpam-5981	208	3	distributions	distribution	NOUN
ejpam-5981	208	4	,	,	PUNCT
ejpam-5981	208	5	volume	volume	NOUN
ejpam-5981	208	6	2	2	NUM
ejpam-5981	208	7	.	.	PUNCT
ejpam-5981	209	1	john	john	PROPN
ejpam-5981	209	2	wiley	wiley	PROPN
ejpam-5981	209	3	&	&	CCONJ
ejpam-5981	209	4	sons	son	NOUN
ejpam-5981	209	5	,	,	PUNCT
ejpam-5981	209	6	1995	1995	NUM
ejpam-5981	209	7	.	.	PUNCT
ejpam-5981	210	1	[	[	X
ejpam-5981	210	2	11	11	NUM
ejpam-5981	210	3	]	]	X
ejpam-5981	210	4	i	i	PRON
ejpam-5981	210	5	m	m	VERB
ejpam-5981	210	6	chakravarti	chakravarti	NOUN
ejpam-5981	210	7	,	,	PUNCT
ejpam-5981	210	8	r	r	NOUN
ejpam-5981	210	9	g	g	PROPN
ejpam-5981	210	10	laha	laha	NOUN
ejpam-5981	210	11	,	,	PUNCT
ejpam-5981	210	12	and	and	CCONJ
ejpam-5981	210	13	j	j	PROPN
ejpam-5981	210	14	roy	roy	PROPN
ejpam-5981	210	15	.	.	PROPN
ejpam-5981	210	16	handbook	handbook	PROPN
ejpam-5981	210	17	of	of	ADP
ejpam-5981	210	18	methods	method	NOUN
ejpam-5981	210	19	of	of	ADP
ejpam-5981	210	20	applied	applied	ADJ
ejpam-5981	210	21	statistics	statistic	NOUN
ejpam-5981	210	22	.	.	PUNCT
ejpam-5981	211	1	wiley	wiley	PROPN
ejpam-5981	211	2	new	new	PROPN
ejpam-5981	211	3	york	york	PROPN
ejpam-5981	211	4	,	,	PUNCT
ejpam-5981	211	5	1967	1967	NUM
ejpam-5981	211	6	.	.	PUNCT
ejpam-5981	212	1	[	[	X
ejpam-5981	212	2	12	12	NUM
ejpam-5981	212	3	]	]	X
ejpam-5981	212	4	h	h	NOUN
ejpam-5981	212	5	akaike	akaike	ADJ
ejpam-5981	212	6	.	.	PUNCT
ejpam-5981	213	1	information	information	NOUN
ejpam-5981	213	2	theory	theory	NOUN
ejpam-5981	213	3	and	and	CCONJ
ejpam-5981	213	4	an	an	DET
ejpam-5981	213	5	extension	extension	NOUN
ejpam-5981	213	6	of	of	ADP
ejpam-5981	213	7	the	the	DET
ejpam-5981	213	8	maximum	maximum	ADJ
ejpam-5981	213	9	likelihood	likelihood	NOUN
ejpam-5981	213	10	principle	principle	NOUN
ejpam-5981	213	11	.	.	PUNCT
ejpam-5981	214	1	in	in	ADP
ejpam-5981	214	2	selected	select	VERB
ejpam-5981	214	3	papers	paper	NOUN
ejpam-5981	214	4	of	of	ADP
ejpam-5981	214	5	hirotugu	hirotugu	NOUN
ejpam-5981	214	6	akaike	akaike	ADJ
ejpam-5981	214	7	,	,	PUNCT
ejpam-5981	214	8	pages	page	NOUN
ejpam-5981	214	9	199–213	199–213	NUM
ejpam-5981	214	10	.	.	PUNCT
ejpam-5981	214	11	springer	springer	NOUN
ejpam-5981	214	12	,	,	PUNCT
ejpam-5981	214	13	1974	1974	NUM
ejpam-5981	214	14	.	.	PUNCT
ejpam-5981	215	1	[	[	X
ejpam-5981	215	2	13	13	NUM
ejpam-5981	215	3	]	]	SYM
ejpam-5981	215	4	s	s	X
ejpam-5981	215	5	konishi	konishi	PROPN
ejpam-5981	215	6	and	and	CCONJ
ejpam-5981	215	7	g	g	PROPN
ejpam-5981	215	8	kitagawa	kitagawa	PROPN
ejpam-5981	215	9	.	.	PUNCT
ejpam-5981	216	1	information	information	NOUN
ejpam-5981	216	2	criteria	criterion	NOUN
ejpam-5981	216	3	and	and	CCONJ
ejpam-5981	216	4	statistical	statistical	ADJ
ejpam-5981	216	5	modeling	modeling	NOUN
ejpam-5981	216	6	.	.	PUNCT
ejpam-5981	217	1	springer	springer	NOUN
ejpam-5981	217	2	science	science	PROPN
ejpam-5981	217	3	&	&	CCONJ
ejpam-5981	217	4	business	business	NOUN
ejpam-5981	217	5	media	medium	NOUN
ejpam-5981	217	6	,	,	PUNCT
ejpam-5981	217	7	2008	2008	NUM
ejpam-5981	217	8	.	.	PUNCT
ejpam-5981	218	1	[	[	X
ejpam-5981	218	2	14	14	NUM
ejpam-5981	218	3	]	]	X
ejpam-5981	218	4	ib	ib	PROPN
ejpam-5981	218	5	abdul	abdul	PROPN
ejpam-5981	218	6	-	-	PUNCT
ejpam-5981	218	7	moniem	moniem	PROPN
ejpam-5981	218	8	and	and	CCONJ
ejpam-5981	218	9	m	m	PROPN
ejpam-5981	218	10	seham	seham	PROPN
ejpam-5981	218	11	.	.	PUNCT
ejpam-5981	219	1	transmuted	transmute	VERB
ejpam-5981	219	2	gompertz	gompertz	NOUN
ejpam-5981	219	3	distribution	distribution	NOUN
ejpam-5981	219	4	.	.	PUNCT
ejpam-5981	220	1	computational	computational	ADJ
ejpam-5981	220	2	and	and	CCONJ
ejpam-5981	220	3	applied	applied	ADJ
ejpam-5981	220	4	mathematics	mathematic	NOUN
ejpam-5981	220	5	journal	journal	NOUN
ejpam-5981	220	6	,	,	PUNCT
ejpam-5981	220	7	1:88–96	1:88–96	NUM
ejpam-5981	220	8	,	,	PUNCT
ejpam-5981	220	9	2015	2015	NUM
ejpam-5981	220	10	.	.	PUNCT
ejpam-5981	221	1	[	[	X
ejpam-5981	221	2	15	15	NUM
ejpam-5981	221	3	]	]	X
ejpam-5981	221	4	e	e	PROPN
ejpam-5981	221	5	t	t	PROPN
ejpam-5981	221	6	lee	lee	PROPN
ejpam-5981	221	7	.	.	PUNCT
ejpam-5981	222	1	statistical	statistical	ADJ
ejpam-5981	222	2	methods	method	NOUN
ejpam-5981	222	3	for	for	ADP
ejpam-5981	222	4	survival	survival	NOUN
ejpam-5981	222	5	data	datum	NOUN
ejpam-5981	222	6	analysis	analysis	NOUN
ejpam-5981	222	7	.	.	PUNCT
ejpam-5981	223	1	ieee	ieee	NOUN
ejpam-5981	223	2	transactions	transaction	NOUN
ejpam-5981	223	3	on	on	ADP
ejpam-5981	223	4	reliability	reliability	NOUN
ejpam-5981	223	5	,	,	PUNCT
ejpam-5981	223	6	35:123–123	35:123–123	NUM
ejpam-5981	223	7	,	,	PUNCT
ejpam-5981	223	8	1986	1986	NUM
ejpam-5981	223	9	.	.	PUNCT