id	sid	tid	token	lemma	pos
iajs-2508	1	1	microsoft	microsoft	PROPN
iajs-2508	1	2	word	word	NOUN
iajs-2508	1	3	50	50	NUM
iajs-2508	1	4	-	-	SYM
iajs-2508	1	5	58	58	NUM
iajs-2508	1	6	ibn	ibn	PROPN
iajs-2508	1	7	al	al	PROPN
iajs-2508	1	8	-	-	PUNCT
iajs-2508	1	9	haitham	haitham	PROPN
iajs-2508	1	10	jour	jour	X
iajs-2508	1	11	.	.	PROPN
iajs-2508	2	1	for	for	ADP
iajs-2508	2	2	pure	pure	ADJ
iajs-2508	2	3	&	&	CCONJ
iajs-2508	2	4	appl	appl	PROPN
iajs-2508	2	5	.	.	PUNCT
iajs-2508	3	1	sci	sci	PROPN
iajs-2508	3	2	.	.	PROPN
iajs-2508	4	1	33	33	NUM
iajs-2508	4	2	(	(	PUNCT
iajs-2508	4	3	4	4	NUM
iajs-2508	4	4	)	)	PUNCT
iajs-2508	4	5	2020	2020	NUM
iajs-2508	4	6	  	  	SPACE
iajs-2508	5	1	50	50	NUM
iajs-2508	5	2	          	          	SPACE
iajs-2508	5	3	employ	employ	NOUN
iajs-2508	5	4	shrinkage	shrinkage	NOUN
iajs-2508	5	5	estimation	estimation	NOUN
iajs-2508	5	6	technique	technique	NOUN
iajs-2508	5	7	for	for	ADP
iajs-2508	5	8	the	the	DET
iajs-2508	5	9	reliability	reliability	NOUN
iajs-2508	5	10	system	system	NOUN
iajs-2508	5	11	in	in	ADP
iajs-2508	5	12	stress	stress	NOUN
iajs-2508	5	13	-	-	PUNCT
iajs-2508	5	14	strength	strength	NOUN
iajs-2508	5	15	models	model	NOUN
iajs-2508	5	16	:	:	PUNCT
iajs-2508	5	17	special	special	ADJ
iajs-2508	5	18	case	case	NOUN
iajs-2508	5	19	of	of	ADP
iajs-2508	5	20	exponentiated	exponentiated	ADJ
iajs-2508	5	21	family	family	NOUN
iajs-2508	5	22	distribution	distribution	NOUN
iajs-2508	5	23	eman	eman	PROPN
iajs-2508	5	24	a.a	a.a	PROPN
iajs-2508	5	25	.	.	PROPN
iajs-2508	5	26	abbas	abbas	PROPN
iajs-2508	5	27	n	n	PRON
iajs-2508	5	28	.s	.s	NOUN
iajs-2508	5	29	.	.	PUNCT
iajs-2508	6	1	department	department	NOUN
iajs-2508	6	2	of	of	ADP
iajs-2508	6	3	mathematics	mathematics	PROPN
iajs-2508	6	4	,	,	PUNCT
iajs-2508	6	5	college	college	NOUN
iajs-2508	6	6	of	of	ADP
iajs-2508	6	7	education	education	NOUN
iajs-2508	6	8	for	for	ADP
iajs-2508	6	9	pure	pure	ADJ
iajs-2508	6	10	sciences	science	NOUN
iajs-2508	6	11	(	(	PUNCT
iajs-2508	6	12	ibn	ibn	PROPN
iajs-2508	6	13	al	al	PROPN
iajs-2508	6	14	–	–	PUNCT
iajs-2508	6	15	haitham	haitham	PROPN
iajs-2508	6	16	)	)	PUNCT
iajs-2508	6	17	,	,	PUNCT
iajs-2508	6	18	university	university	NOUN
iajs-2508	6	19	of	of	ADP
iajs-2508	6	20	baghdad	baghdad	PROPN
iajs-2508	6	21	emanahmed88717@gmail.com	emanahmed88717@gmail.com	PUNCT
iajs-2508	7	1	abbasnajim66@yahoo.com	abbasnajim66@yahoo.com	X
iajs-2508	7	2	abstract	abstract	ADJ
iajs-2508	7	3	a	a	DET
iajs-2508	7	4	reliability	reliability	NOUN
iajs-2508	7	5	system	system	NOUN
iajs-2508	7	6	of	of	ADP
iajs-2508	7	7	the	the	DET
iajs-2508	7	8	multi	multi	ADJ
iajs-2508	7	9	-	-	ADJ
iajs-2508	7	10	component	component	ADJ
iajs-2508	7	11	stress	stress	NOUN
iajs-2508	7	12	-	-	PUNCT
iajs-2508	7	13	strength	strength	NOUN
iajs-2508	7	14	model	model	NOUN
iajs-2508	7	15	r(s	r(s	PROPN
iajs-2508	7	16	,	,	PUNCT
iajs-2508	7	17	k	k	NOUN
iajs-2508	7	18	)	)	PUNCT
iajs-2508	7	19	will	will	AUX
iajs-2508	7	20	be	be	AUX
iajs-2508	7	21	considered	consider	VERB
iajs-2508	7	22	in	in	ADP
iajs-2508	7	23	the	the	DET
iajs-2508	7	24	present	present	ADJ
iajs-2508	7	25	paper	paper	NOUN
iajs-2508	7	26	,	,	PUNCT
iajs-2508	7	27	when	when	SCONJ
iajs-2508	7	28	the	the	DET
iajs-2508	7	29	stress	stress	NOUN
iajs-2508	7	30	and	and	CCONJ
iajs-2508	7	31	strength	strength	NOUN
iajs-2508	7	32	are	be	AUX
iajs-2508	7	33	independent	independent	ADJ
iajs-2508	7	34	and	and	CCONJ
iajs-2508	7	35	non	non	ADJ
iajs-2508	7	36	-	-	ADJ
iajs-2508	7	37	identically	identically	ADJ
iajs-2508	7	38	distribution	distribution	NOUN
iajs-2508	7	39	have	have	VERB
iajs-2508	7	40	the	the	DET
iajs-2508	7	41	exponentiated	exponentiated	ADJ
iajs-2508	7	42	family	family	NOUN
iajs-2508	7	43	distribution(fed	distribution(fe	VERB
iajs-2508	7	44	)	)	PUNCT
iajs-2508	7	45	with	with	ADP
iajs-2508	7	46	the	the	DET
iajs-2508	7	47	unknown	unknown	ADJ
iajs-2508	7	48	shape	shape	NOUN
iajs-2508	7	49	parameter	parameter	NOUN
iajs-2508	7	50	α	α	PROPN
iajs-2508	7	51	and	and	CCONJ
iajs-2508	7	52	known	know	VERB
iajs-2508	7	53	scale	scale	NOUN
iajs-2508	7	54	parameter	parameter	NOUN
iajs-2508	7	55	λ	λ	PROPN
iajs-2508	7	56	equal	equal	ADJ
iajs-2508	7	57	to	to	ADP
iajs-2508	7	58	two	two	NUM
iajs-2508	7	59	and	and	CCONJ
iajs-2508	7	60	parameter	parameter	NOUN
iajs-2508	7	61	θ	θ	PROPN
iajs-2508	7	62	equal	equal	ADJ
iajs-2508	7	63	to	to	ADP
iajs-2508	7	64	three	three	NUM
iajs-2508	7	65	.	.	PUNCT
iajs-2508	8	1	different	different	ADJ
iajs-2508	8	2	estimation	estimation	NOUN
iajs-2508	8	3	methods	method	NOUN
iajs-2508	8	4	of	of	ADP
iajs-2508	8	5	r(s	r(s	PROPN
iajs-2508	8	6	,	,	PUNCT
iajs-2508	8	7	k	k	NOUN
iajs-2508	8	8	)	)	PUNCT
iajs-2508	8	9	were	be	AUX
iajs-2508	8	10	introduced	introduce	VERB
iajs-2508	8	11	corresponding	correspond	VERB
iajs-2508	8	12	to	to	ADP
iajs-2508	8	13	maximum	maximum	ADJ
iajs-2508	8	14	likelihood	likelihood	NOUN
iajs-2508	8	15	and	and	CCONJ
iajs-2508	8	16	shrinkage	shrinkage	VERB
iajs-2508	8	17	estimators	estimator	NOUN
iajs-2508	8	18	.	.	PUNCT
iajs-2508	9	1	comparisons	comparison	NOUN
iajs-2508	9	2	among	among	ADP
iajs-2508	9	3	the	the	DET
iajs-2508	9	4	suggested	suggest	VERB
iajs-2508	9	5	estimators	estimator	NOUN
iajs-2508	9	6	were	be	AUX
iajs-2508	9	7	prepared	prepare	VERB
iajs-2508	9	8	depending	depend	VERB
iajs-2508	9	9	on	on	ADP
iajs-2508	9	10	simulation	simulation	NOUN
iajs-2508	9	11	established	establish	VERB
iajs-2508	9	12	on	on	ADP
iajs-2508	9	13	mean	mean	NOUN
iajs-2508	9	14	squared	square	VERB
iajs-2508	9	15	error	error	NOUN
iajs-2508	9	16	(	(	PUNCT
iajs-2508	9	17	mse	mse	NOUN
iajs-2508	9	18	)	)	PUNCT
iajs-2508	9	19	criteria	criterion	NOUN
iajs-2508	9	20	.	.	PUNCT
iajs-2508	10	1	keywords	keyword	NOUN
iajs-2508	10	2	:	:	PUNCT
iajs-2508	10	3	exponentiated	exponentiate	VERB
iajs-2508	10	4	family	family	NOUN
iajs-2508	10	5	distribution	distribution	NOUN
iajs-2508	10	6	,	,	PUNCT
iajs-2508	10	7	reliability	reliability	NOUN
iajs-2508	10	8	of	of	ADP
iajs-2508	10	9	multicomponent	multicomponent	NOUN
iajs-2508	10	10	stress	stress	NOUN
iajs-2508	10	11	–	–	PUNCT
iajs-2508	10	12	strength	strength	NOUN
iajs-2508	10	13	models	model	NOUN
iajs-2508	10	14	,	,	PUNCT
iajs-2508	10	15	maximum	maximum	ADJ
iajs-2508	10	16	likelihood	likelihood	NOUN
iajs-2508	10	17	estimator	estimator	NOUN
iajs-2508	10	18	,	,	PUNCT
iajs-2508	10	19	shrinkage	shrinkage	NOUN
iajs-2508	10	20	estimator	estimator	NOUN
iajs-2508	10	21	and	and	CCONJ
iajs-2508	10	22	mean	mean	VERB
iajs-2508	10	23	squared	square	VERB
iajs-2508	10	24	error	error	NOUN
iajs-2508	10	25	.	.	PUNCT
iajs-2508	11	1	1	1	X
iajs-2508	11	2	.	.	X
iajs-2508	11	3	introduction	introduction	NOUN
iajs-2508	11	4	a	a	DET
iajs-2508	11	5	multicomponent	multicomponent	NOUN
iajs-2508	11	6	system	system	NOUN
iajs-2508	11	7	consuming	consume	VERB
iajs-2508	11	8	kth	kth	PROPN
iajs-2508	11	9	strength	strength	NOUN
iajs-2508	11	10	independently	independently	ADV
iajs-2508	11	11	and	and	CCONJ
iajs-2508	11	12	non	non	ADJ
iajs-2508	11	13	-	-	ADJ
iajs-2508	11	14	identically	identically	ADV
iajs-2508	11	15	random	random	ADJ
iajs-2508	11	16	variables	variable	NOUN
iajs-2508	11	17	and	and	CCONJ
iajs-2508	11	18	everyone	everyone	PRON
iajs-2508	11	19	subjected	subject	VERB
iajs-2508	11	20	to	to	ADP
iajs-2508	11	21	random	random	ADJ
iajs-2508	11	22	stress	stress	NOUN
iajs-2508	11	23	was	be	AUX
iajs-2508	11	24	presented	present	VERB
iajs-2508	11	25	by	by	ADP
iajs-2508	11	26	bhattacharyya	bhattacharyya	PROPN
iajs-2508	11	27	and	and	CCONJ
iajs-2508	11	28	johnson	johnson	PROPN
iajs-2508	11	29	(	(	PUNCT
iajs-2508	11	30	1974)[1].the	1974)[1].the	DET
iajs-2508	11	31	system	system	NOUN
iajs-2508	11	32	reliability	reliability	NOUN
iajs-2508	11	33	model	model	NOUN
iajs-2508	11	34	,	,	PUNCT
iajs-2508	11	35	(	(	PUNCT
iajs-2508	11	36	s	s	VERB
iajs-2508	11	37	out	out	ADP
iajs-2508	11	38	of	of	ADP
iajs-2508	11	39	k	k	PROPN
iajs-2508	11	40	)	)	PUNCT
iajs-2508	11	41	was	be	AUX
iajs-2508	11	42	denoted	denote	VERB
iajs-2508	11	43	by	by	ADP
iajs-2508	11	44	r(s	r(s	PROPN
iajs-2508	11	45	,	,	PUNCT
iajs-2508	11	46	k	k	NOUN
iajs-2508	11	47	)	)	PUNCT
iajs-2508	11	48	when	when	SCONJ
iajs-2508	11	49	at	at	ADP
iajs-2508	11	50	least	least	ADJ
iajs-2508	11	51	s	s	VERB
iajs-2508	11	52	(	(	PUNCT
iajs-2508	11	53	1≤	1≤	NUM
iajs-2508	11	54	s≤	s≤	PROPN
iajs-2508	11	55	k	k	PROPN
iajs-2508	11	56	)	)	PUNCT
iajs-2508	11	57	of	of	ADP
iajs-2508	11	58	components	component	NOUN
iajs-2508	11	59	survive	survive	VERB
iajs-2508	11	60	.	.	PUNCT
iajs-2508	12	1	in	in	ADP
iajs-2508	12	2	(	(	PUNCT
iajs-2508	12	3	2012	2012	NUM
iajs-2508	12	4	)	)	PUNCT
iajs-2508	12	5	,	,	PUNCT
iajs-2508	12	6	pandit	pandit	NOUN
iajs-2508	12	7	and	and	CCONJ
iajs-2508	12	8	kantu	kantu	PROPN
iajs-2508	12	9	studied	study	VERB
iajs-2508	12	10	the	the	DET
iajs-2508	12	11	reliability	reliability	NOUN
iajs-2508	12	12	estimation	estimation	NOUN
iajs-2508	12	13	in	in	ADP
iajs-2508	12	14	multicomponent	multicomponent	NOUN
iajs-2508	12	15	stress	stress	NOUN
iajs-2508	12	16	-	-	PUNCT
iajs-2508	12	17	strength(s	strength(s	PROPN
iajs-2508	12	18	-	-	PUNCT
iajs-2508	12	19	s	s	NOUN
iajs-2508	12	20	)	)	PUNCT
iajs-2508	12	21	with	with	ADP
iajs-2508	12	22	the	the	DET
iajs-2508	12	23	assumption	assumption	NOUN
iajs-2508	12	24	that	that	SCONJ
iajs-2508	12	25	strengths	strength	NOUN
iajs-2508	12	26	and	and	CCONJ
iajs-2508	12	27	stresses	stress	NOUN
iajs-2508	12	28	followed	follow	VERB
iajs-2508	12	29	the	the	DET
iajs-2508	12	30	pareto	pareto	ADJ
iajs-2508	12	31	distribution	distribution	NOUN
iajs-2508	12	32	[	[	X
iajs-2508	12	33	2	2	NUM
iajs-2508	12	34	]	]	PUNCT
iajs-2508	12	35	.rao	.rao	PUNCT
iajs-2508	12	36	&	&	CCONJ
iajs-2508	12	37	naidu	naidu	PROPN
iajs-2508	12	38	in	in	ADP
iajs-2508	12	39	(	(	PUNCT
iajs-2508	12	40	2013	2013	NUM
iajs-2508	12	41	)	)	PUNCT
iajs-2508	12	42	studied	study	VERB
iajs-2508	12	43	the	the	DET
iajs-2508	12	44	multicomponent	multicomponent	NOUN
iajs-2508	12	45	system	system	NOUN
iajs-2508	12	46	reliability	reliability	NOUN
iajs-2508	12	47	in	in	ADP
iajs-2508	12	48	(	(	PUNCT
iajs-2508	12	49	s	s	NOUN
iajs-2508	12	50	-	-	PUNCT
iajs-2508	12	51	s	s	NOUN
iajs-2508	12	52	)	)	PUNCT
iajs-2508	12	53	model	model	NOUN
iajs-2508	12	54	for	for	ADP
iajs-2508	12	55	exponentiated	exponentiate	VERB
iajs-2508	12	56	half	half	ADV
iajs-2508	12	57	logistic	logistic	ADJ
iajs-2508	12	58	distribution[3	distribution[3	PROPN
iajs-2508	12	59	]	]	PUNCT
iajs-2508	12	60	.	.	PUNCT
iajs-2508	13	1	in	in	ADP
iajs-2508	13	2	(	(	PUNCT
iajs-2508	13	3	2014	2014	NUM
iajs-2508	13	4	)	)	PUNCT
iajs-2508	13	5	,	,	PUNCT
iajs-2508	13	6	rao	rao	PROPN
iajs-2508	13	7	estimated	estimate	VERB
iajs-2508	13	8	the	the	DET
iajs-2508	13	9	reliability	reliability	NOUN
iajs-2508	13	10	system	system	NOUN
iajs-2508	13	11	of	of	ADP
iajs-2508	13	12	the	the	DET
iajs-2508	13	13	multicomponent	multicomponent	NOUN
iajs-2508	13	14	(	(	PUNCT
iajs-2508	13	15	s	s	NOUN
iajs-2508	13	16	-	-	PUNCT
iajs-2508	13	17	s	s	NOUN
iajs-2508	13	18	)	)	PUNCT
iajs-2508	13	19	model	model	NOUN
iajs-2508	13	20	for	for	ADP
iajs-2508	13	21	generalized	generalize	VERB
iajs-2508	13	22	rayleigh	rayleigh	NOUN
iajs-2508	13	23	distribution	distribution	NOUN
iajs-2508	13	24	through	through	ADP
iajs-2508	13	25	simulation	simulation	NOUN
iajs-2508	13	26	[	[	X
iajs-2508	13	27	4	4	NUM
iajs-2508	13	28	]	]	PUNCT
iajs-2508	13	29	.	.	PUNCT
iajs-2508	14	1	in	in	ADP
iajs-2508	14	2	(	(	PUNCT
iajs-2508	14	3	2015	2015	NUM
iajs-2508	14	4	)	)	PUNCT
iajs-2508	14	5	,	,	PUNCT
iajs-2508	14	6	kizilaslan	kizilaslan	NOUN
iajs-2508	14	7	and	and	CCONJ
iajs-2508	14	8	nader	nader	PROPN
iajs-2508	14	9	,	,	PUNCT
iajs-2508	14	10	studied	study	VERB
iajs-2508	14	11	the	the	DET
iajs-2508	14	12	multicomponent	multicomponent	NOUN
iajs-2508	14	13	system	system	NOUN
iajs-2508	14	14	assumed	assume	VERB
iajs-2508	14	15	that	that	SCONJ
iajs-2508	14	16	the	the	DET
iajs-2508	14	17	stress	stress	NOUN
iajs-2508	14	18	and	and	CCONJ
iajs-2508	14	19	strength	strength	NOUN
iajs-2508	14	20	of	of	ADP
iajs-2508	14	21	identical	identical	ADJ
iajs-2508	14	22	independent	independent	ADJ
iajs-2508	14	23	followed	follow	VERB
iajs-2508	14	24	weibull	weibull	NOUN
iajs-2508	14	25	distribution	distribution	NOUN
iajs-2508	14	26	using	use	VERB
iajs-2508	14	27	ml	ml	NOUN
iajs-2508	14	28	and	and	CCONJ
iajs-2508	14	29	bayes	bayes	PROPN
iajs-2508	14	30	methods	method	NOUN
iajs-2508	14	31	[	[	X
iajs-2508	14	32	5	5	NUM
iajs-2508	14	33	]	]	PUNCT
iajs-2508	14	34	.	.	PUNCT
iajs-2508	15	1	in	in	ADP
iajs-2508	15	2	(	(	PUNCT
iajs-2508	15	3	2016	2016	NUM
iajs-2508	15	4	)	)	PUNCT
iajs-2508	15	5	rao	rao	PROPN
iajs-2508	15	6	et	et	PROPN
iajs-2508	15	7	al	al	PROPN
iajs-2508	15	8	,	,	PUNCT
iajs-2508	15	9	they	they	PRON
iajs-2508	15	10	estimated	estimate	VERB
iajs-2508	15	11	the	the	DET
iajs-2508	15	12	multicomponent	multicomponent	NOUN
iajs-2508	15	13	reliability	reliability	NOUN
iajs-2508	15	14	in	in	ADP
iajs-2508	15	15	model	model	NOUN
iajs-2508	15	16	when	when	SCONJ
iajs-2508	15	17	the	the	DET
iajs-2508	15	18	stress	stress	NOUN
iajs-2508	15	19	and	and	CCONJ
iajs-2508	15	20	strength	strength	NOUN
iajs-2508	15	21	followed	follow	VERB
iajs-2508	15	22	exponentiated	exponentiate	VERB
iajs-2508	15	23	weibull	weibull	NOUN
iajs-2508	15	24	distribution	distribution	NOUN
iajs-2508	15	25	[	[	X
iajs-2508	15	26	6	6	NUM
iajs-2508	15	27	]	]	PUNCT
iajs-2508	15	28	.	.	PUNCT
iajs-2508	16	1	in	in	ADP
iajs-2508	16	2	(	(	PUNCT
iajs-2508	16	3	2017	2017	NUM
iajs-2508	16	4	)	)	PUNCT
iajs-2508	16	5	,	,	PUNCT
iajs-2508	16	6	abbas	abbas	PROPN
iajs-2508	16	7	and	and	CCONJ
iajs-2508	16	8	fatima	fatima	PROPN
iajs-2508	16	9	estimated	estimate	VERB
iajs-2508	16	10	the	the	DET
iajs-2508	16	11	system	system	NOUN
iajs-2508	16	12	reliability	reliability	NOUN
iajs-2508	16	13	of	of	ADP
iajs-2508	16	14	the	the	DET
iajs-2508	16	15	multicomponent	multicomponent	NOUN
iajs-2508	16	16	(	(	PUNCT
iajs-2508	16	17	s	s	NOUN
iajs-2508	16	18	-	-	PUNCT
iajs-2508	16	19	s	s	NOUN
iajs-2508	16	20	)	)	PUNCT
iajs-2508	16	21	model	model	NOUN
iajs-2508	16	22	via	via	ADP
iajs-2508	16	23	exponentiated	exponentiated	PROPN
iajs-2508	16	24	ibn	ibn	PROPN
iajs-2508	16	25	al	al	PROPN
iajs-2508	16	26	haitham	haitham	PROPN
iajs-2508	16	27	journal	journal	PROPN
iajs-2508	16	28	for	for	ADP
iajs-2508	16	29	pure	pure	ADJ
iajs-2508	16	30	and	and	CCONJ
iajs-2508	16	31	applied	apply	VERB
iajs-2508	16	32	science	science	NOUN
iajs-2508	16	33	journal	journal	PROPN
iajs-2508	16	34	homepage	homepage	NOUN
iajs-2508	16	35	:	:	PUNCT
iajs-2508	16	36	http://jih.uobaghdad.edu.iq/index.php/j/index	http://jih.uobaghdad.edu.iq/index.php/j/index	NOUN
iajs-2508	16	37	doi	doi	NOUN
iajs-2508	16	38	:	:	PUNCT
iajs-2508	16	39	10.30526/33.4.2508	10.30526/33.4.2508	PROPN
iajs-2508	16	40	article	article	NOUN
iajs-2508	16	41	history	history	NOUN
iajs-2508	16	42	:	:	PUNCT
iajs-2508	16	43	received	receive	VERB
iajs-2508	16	44	13	13	NUM
iajs-2508	16	45	november	november	PROPN
iajs-2508	16	46	2019	2019	NUM
iajs-2508	16	47	,	,	PUNCT
iajs-2508	16	48	accepted	accept	VERB
iajs-2508	16	49	15	15	NUM
iajs-2508	16	50	december	december	PROPN
iajs-2508	16	51	2019	2019	NUM
iajs-2508	16	52	,	,	PUNCT
iajs-2508	16	53	published	publish	VERB
iajs-2508	16	54	in	in	ADP
iajs-2508	16	55	october	october	PROPN
iajs-2508	16	56	2020	2020	NUM
iajs-2508	16	57	  	  	SPACE
iajs-2508	16	58	51	51	NUM
iajs-2508	16	59	  	  	SPACE
iajs-2508	16	60	ibn	ibn	PROPN
iajs-2508	16	61	al	al	PROPN
iajs-2508	16	62	-	-	PUNCT
iajs-2508	16	63	haitham	haitham	PROPN
iajs-2508	16	64	jour	jour	X
iajs-2508	16	65	.	.	PROPN
iajs-2508	17	1	for	for	ADP
iajs-2508	17	2	pure	pure	ADJ
iajs-2508	17	3	&	&	CCONJ
iajs-2508	17	4	appl	appl	PROPN
iajs-2508	17	5	.	.	PUNCT
iajs-2508	18	1	sci	sci	PROPN
iajs-2508	18	2	.	.	PROPN
iajs-2508	19	1	33	33	NUM
iajs-2508	19	2	(	(	PUNCT
iajs-2508	19	3	4	4	NUM
iajs-2508	19	4	)	)	PUNCT
iajs-2508	19	5	2020	2020	NUM
iajs-2508	19	6	weibull	weibull	NOUN
iajs-2508	19	7	distribution	distribution	NOUN
iajs-2508	19	8	,	,	PUNCT
iajs-2508	19	9	consuming	consume	VERB
iajs-2508	19	10	;	;	PUNCT
iajs-2508	19	11	ml	ml	CCONJ
iajs-2508	19	12	and	and	CCONJ
iajs-2508	19	13	mom	mom	NOUN
iajs-2508	19	14	estimators	estimator	NOUN
iajs-2508	19	15	and	and	CCONJ
iajs-2508	19	16	they	they	PRON
iajs-2508	19	17	accomplished	accomplish	VERB
iajs-2508	19	18	results	result	NOUN
iajs-2508	19	19	agreed	agree	VERB
iajs-2508	19	20	that	that	SCONJ
iajs-2508	19	21	the	the	DET
iajs-2508	19	22	shrinkage	shrinkage	NOUN
iajs-2508	19	23	estimator	estimator	NOUN
iajs-2508	19	24	was	be	AUX
iajs-2508	19	25	the	the	DET
iajs-2508	19	26	best	good	ADJ
iajs-2508	19	27	[	[	X
iajs-2508	19	28	7	7	NUM
iajs-2508	19	29	]	]	PUNCT
iajs-2508	19	30	.	.	PUNCT
iajs-2508	20	1	and	and	CCONJ
iajs-2508	20	2	in	in	ADP
iajs-2508	20	3	(	(	PUNCT
iajs-2508	20	4	2019	2019	NUM
iajs-2508	20	5	)	)	PUNCT
iajs-2508	20	6	,	,	PUNCT
iajs-2508	20	7	abbas	abbas	PROPN
iajs-2508	20	8	and	and	CCONJ
iajs-2508	20	9	eman	eman	NOUN
iajs-2508	20	10	derived	derive	VERB
iajs-2508	20	11	and	and	CCONJ
iajs-2508	20	12	estimated	estimate	VERB
iajs-2508	20	13	the	the	DET
iajs-2508	20	14	formula	formula	NOUN
iajs-2508	20	15	of	of	ADP
iajs-2508	20	16	reliability	reliability	NOUN
iajs-2508	20	17	for	for	ADP
iajs-2508	20	18	multicomponent	multicomponent	NOUN
iajs-2508	20	19	in	in	ADP
iajs-2508	20	20	(	(	PUNCT
iajs-2508	20	21	s	s	NOUN
iajs-2508	20	22	-	-	PUNCT
iajs-2508	20	23	s	s	NOUN
iajs-2508	20	24	)	)	PUNCT
iajs-2508	20	25	model	model	NOUN
iajs-2508	20	26	in	in	ADP
iajs-2508	20	27	case	case	NOUN
iajs-2508	20	28	of	of	ADP
iajs-2508	20	29	exponentiated	exponentiated	ADJ
iajs-2508	20	30	pareto	pareto	ADJ
iajs-2508	20	31	distribution	distribution	NOUN
iajs-2508	21	1	and	and	CCONJ
iajs-2508	21	2	they	they	PRON
iajs-2508	21	3	concluded	conclude	VERB
iajs-2508	21	4	that	that	SCONJ
iajs-2508	21	5	the	the	DET
iajs-2508	21	6	shrinkage	shrinkage	NOUN
iajs-2508	21	7	estimator	estimator	NOUN
iajs-2508	21	8	was	be	AUX
iajs-2508	21	9	the	the	DET
iajs-2508	21	10	best	good	ADJ
iajs-2508	21	11	[	[	X
iajs-2508	21	12	8	8	NUM
iajs-2508	21	13	]	]	PUNCT
iajs-2508	21	14	.	.	PUNCT
iajs-2508	22	1	the	the	DET
iajs-2508	22	2	aim	aim	NOUN
iajs-2508	22	3	of	of	ADP
iajs-2508	22	4	this	this	DET
iajs-2508	22	5	paper	paper	NOUN
iajs-2508	22	6	is	be	AUX
iajs-2508	22	7	to	to	PART
iajs-2508	22	8	estimate	estimate	VERB
iajs-2508	22	9	the	the	DET
iajs-2508	22	10	reliability	reliability	NOUN
iajs-2508	22	11	of	of	ADP
iajs-2508	22	12	multicomponent	multicomponent	NOUN
iajs-2508	22	13	system	system	NOUN
iajs-2508	22	14	in	in	ADP
iajs-2508	22	15	stress	stress	NOUN
iajs-2508	22	16	-	-	PUNCT
iajs-2508	22	17	strength	strength	NOUN
iajs-2508	22	18	model	model	NOUN
iajs-2508	22	19	r(s	r(s	PROPN
iajs-2508	22	20	,	,	PUNCT
iajs-2508	22	21	k	k	NOUN
iajs-2508	22	22	)	)	PUNCT
iajs-2508	22	23	based	base	VERB
iajs-2508	22	24	on	on	ADP
iajs-2508	22	25	family	family	NOUN
iajs-2508	22	26	of	of	ADP
iajs-2508	22	27	exponentiated	exponentiated	ADJ
iajs-2508	22	28	distribution	distribution	NOUN
iajs-2508	22	29	with	with	ADP
iajs-2508	22	30	unknown	unknown	ADJ
iajs-2508	22	31	shape	shape	NOUN
iajs-2508	22	32	parameter	parameter	NOUN
iajs-2508	22	33	α	α	PROPN
iajs-2508	22	34	and	and	CCONJ
iajs-2508	22	35	known	know	VERB
iajs-2508	22	36	the	the	DET
iajs-2508	22	37	parameters	parameter	NOUN
iajs-2508	22	38	λ=2	λ=2	X
iajs-2508	22	39	and	and	CCONJ
iajs-2508	22	40	θ=3	θ=3	PUNCT
iajs-2508	22	41	and	and	CCONJ
iajs-2508	22	42	a=0	a=0	ADV
iajs-2508	22	43	via	via	ADP
iajs-2508	22	44	different	different	ADJ
iajs-2508	22	45	estimation	estimation	NOUN
iajs-2508	22	46	methods	method	NOUN
iajs-2508	22	47	like	like	ADP
iajs-2508	22	48	mle	mle	NOUN
iajs-2508	22	49	,	,	PUNCT
iajs-2508	22	50	as	as	ADV
iajs-2508	22	51	well	well	ADV
iajs-2508	22	52	as	as	ADP
iajs-2508	22	53	some	some	DET
iajs-2508	22	54	shrinkage	shrinkage	NOUN
iajs-2508	22	55	methods	method	NOUN
iajs-2508	22	56	and	and	CCONJ
iajs-2508	22	57	make	make	VERB
iajs-2508	22	58	comparisons	comparison	NOUN
iajs-2508	22	59	among	among	ADP
iajs-2508	22	60	the	the	DET
iajs-2508	22	61	proposed	propose	VERB
iajs-2508	22	62	estimator	estimator	NOUN
iajs-2508	22	63	methods	method	NOUN
iajs-2508	22	64	using	use	VERB
iajs-2508	22	65	simulation	simulation	NOUN
iajs-2508	22	66	,	,	PUNCT
iajs-2508	22	67	depending	depend	VERB
iajs-2508	22	68	on	on	ADP
iajs-2508	22	69	mean	mean	ADJ
iajs-2508	22	70	squared	square	VERB
iajs-2508	22	71	error	error	NOUN
iajs-2508	22	72	criteria	criterion	NOUN
iajs-2508	22	73	by	by	ADP
iajs-2508	22	74	using	use	VERB
iajs-2508	22	75	special	special	ADJ
iajs-2508	22	76	case	case	NOUN
iajs-2508	22	77	of	of	ADP
iajs-2508	22	78	family	family	NOUN
iajs-2508	22	79	exponentiated	exponentiate	VERB
iajs-2508	22	80	distribution	distribution	NOUN
iajs-2508	22	81	.	.	PUNCT
iajs-2508	23	1	the	the	DET
iajs-2508	23	2	probability	probability	NOUN
iajs-2508	23	3	density	density	NOUN
iajs-2508	23	4	function	function	NOUN
iajs-2508	23	5	(	(	PUNCT
iajs-2508	23	6	p.	p.	PROPN
iajs-2508	23	7	d.	d.	PROPN
iajs-2508	23	8	f.	f.	PROPN
iajs-2508	23	9	)	)	PUNCT
iajs-2508	23	10	of	of	ADP
iajs-2508	23	11	a	a	DET
iajs-2508	23	12	r.v	r.v	NOUN
iajs-2508	23	13	.	.	PUNCT
iajs-2508	23	14	x	x	PUNCT
iajs-2508	23	15	following	follow	VERB
iajs-2508	23	16	exponentiated	exponentiated	ADJ
iajs-2508	23	17	family	family	NOUN
iajs-2508	23	18	distribution	distribution	NOUN
iajs-2508	23	19	efd	efd	NOUN
iajs-2508	23	20	has	have	VERB
iajs-2508	23	21	the	the	DET
iajs-2508	23	22	form	form	NOUN
iajs-2508	23	23	below	below	ADP
iajs-2508	23	24	[	[	X
iajs-2508	23	25	9	9	NUM
iajs-2508	23	26	]	]	PUNCT
iajs-2508	23	27	:	:	PUNCT
iajs-2508	23	28	𝑓	𝑓	DET
iajs-2508	23	29	𝑥	𝑥	X
iajs-2508	23	30	;	;	PUNCT
iajs-2508	23	31	𝛼	𝛼	X
iajs-2508	23	32	,	,	PUNCT
iajs-2508	23	33	𝜆	𝜆	PROPN
iajs-2508	23	34	𝛼𝜆	𝛼𝜆	PROPN
iajs-2508	23	35	�	�	PROPN
iajs-2508	23	36	̀	̀	ADJ
iajs-2508	23	37	�	�	PROPN
iajs-2508	23	38	𝑥	𝑥	PROPN
iajs-2508	23	39	;	;	PUNCT
iajs-2508	23	40	𝑎	𝑎	X
iajs-2508	23	41	,	,	PUNCT
iajs-2508	23	42	𝜃	𝜃	NOUN
iajs-2508	23	43	𝑒	𝑒	X
iajs-2508	23	44	;	;	PUNCT
iajs-2508	23	45	,	,	PUNCT
iajs-2508	23	46	1	1	NUM
iajs-2508	23	47	𝑒	𝑒	ADV
iajs-2508	23	48	;	;	PUNCT
iajs-2508	23	49	,	,	PUNCT
iajs-2508	23	50	;	;	PUNCT
iajs-2508	23	51	𝑥	𝑥	PROPN
iajs-2508	23	52	0	0	NUM
iajs-2508	23	53	,	,	PUNCT
iajs-2508	23	54	𝑎	𝑎	NOUN
iajs-2508	23	55	0	0	NUM
iajs-2508	23	56	,	,	PUNCT
iajs-2508	23	57	𝛼	𝛼	X
iajs-2508	23	58	,	,	PUNCT
iajs-2508	23	59	𝜆	𝜆	PRON
iajs-2508	23	60	0	0	NUM
iajs-2508	23	61	(	(	PUNCT
iajs-2508	23	62	1	1	NUM
iajs-2508	23	63	)	)	PUNCT
iajs-2508	23	64	here	here	ADV
iajs-2508	23	65	g	g	PROPN
iajs-2508	23	66	x	x	SYM
iajs-2508	23	67	;	;	PUNCT
iajs-2508	23	68	a	a	X
iajs-2508	23	69	,	,	PUNCT
iajs-2508	23	70	𝜃	𝜃	NOUN
iajs-2508	23	71	is	be	AUX
iajs-2508	23	72	the	the	DET
iajs-2508	23	73	function	function	NOUN
iajs-2508	23	74	of	of	ADP
iajs-2508	23	75	x	x	PUNCT
iajs-2508	23	76	and	and	CCONJ
iajs-2508	23	77	may	may	AUX
iajs-2508	23	78	also	also	ADV
iajs-2508	23	79	be	be	AUX
iajs-2508	23	80	of	of	ADP
iajs-2508	23	81	the	the	DET
iajs-2508	23	82	parameter	parameter	NOUN
iajs-2508	23	83	𝜃	𝜃	PROPN
iajs-2508	23	84	(	(	PUNCT
iajs-2508	23	85	may	may	AUX
iajs-2508	23	86	be	be	AUX
iajs-2508	23	87	vector	vector	NOUN
iajs-2508	23	88	valued	value	VERB
iajs-2508	23	89	)	)	PUNCT
iajs-2508	23	90	and	and	CCONJ
iajs-2508	23	91	a	a	PRON
iajs-2508	23	92	is	be	AUX
iajs-2508	23	93	constant	constant	ADJ
iajs-2508	23	94	.	.	PUNCT
iajs-2508	24	1	furthermore	furthermore	ADV
iajs-2508	24	2	,	,	PUNCT
iajs-2508	24	3	g(𝑥	g(𝑥	PROPN
iajs-2508	24	4	;	;	PUNCT
iajs-2508	24	5	𝑎	𝑎	X
iajs-2508	24	6	,	,	PUNCT
iajs-2508	24	7	𝜃	𝜃	NOUN
iajs-2508	24	8	)	)	PUNCT
iajs-2508	24	9	refer	refer	VERB
iajs-2508	24	10	to	to	ADP
iajs-2508	24	11	real	real	ADV
iajs-2508	24	12	valued	value	VERB
iajs-2508	24	13	,	,	PUNCT
iajs-2508	24	14	monotonically	monotonically	ADV
iajs-2508	24	15	increasing	increase	VERB
iajs-2508	24	16	function	function	NOUN
iajs-2508	24	17	of	of	ADP
iajs-2508	24	18	𝑋	𝑋	PROPN
iajs-2508	24	19	with	with	ADP
iajs-2508	24	20	g(a	g(a	PROPN
iajs-2508	24	21	;	;	PUNCT
iajs-2508	24	22	a	a	DET
iajs-2508	24	23	,	,	PUNCT
iajs-2508	24	24	𝜃)=0	𝜃)=0	ADJ
iajs-2508	24	25	,	,	PUNCT
iajs-2508	24	26	g(∞	g(∞	NOUN
iajs-2508	24	27	;	;	PUNCT
iajs-2508	24	28	a	a	DET
iajs-2508	24	29	,	,	PUNCT
iajs-2508	24	30	𝜃)=	𝜃)=	ADV
iajs-2508	24	31	∞	∞	PROPN
iajs-2508	24	32	and	and	CCONJ
iajs-2508	24	33	𝑔	𝑔	PROPN
iajs-2508	24	34	(	(	PUNCT
iajs-2508	24	35	𝑥	𝑥	NOUN
iajs-2508	24	36	;	;	PUNCT
iajs-2508	24	37	𝑎	𝑎	X
iajs-2508	24	38	,	,	PUNCT
iajs-2508	24	39	𝜃	𝜃	NOUN
iajs-2508	24	40	)	)	PUNCT
iajs-2508	24	41	refer	refer	VERB
iajs-2508	24	42	to	to	ADP
iajs-2508	24	43	the	the	DET
iajs-2508	24	44	derived	derived	NOUN
iajs-2508	24	45	of	of	ADP
iajs-2508	24	46	g(𝑥	g(𝑥	PROPN
iajs-2508	24	47	;	;	PUNCT
iajs-2508	24	48	𝑎	𝑎	X
iajs-2508	24	49	,	,	PUNCT
iajs-2508	24	50	𝜃	𝜃	NOUN
iajs-2508	24	51	)	)	PUNCT
iajs-2508	24	52	with	with	ADP
iajs-2508	24	53	respect	respect	NOUN
iajs-2508	24	54	to	to	ADP
iajs-2508	24	55	𝑥	𝑥	PROPN
iajs-2508	25	1	[	[	X
iajs-2508	25	2	9	9	NUM
iajs-2508	25	3	]	]	PUNCT
iajs-2508	25	4	.	.	PUNCT
iajs-2508	26	1	consequently	consequently	ADV
iajs-2508	26	2	,	,	PUNCT
iajs-2508	26	3	the	the	DET
iajs-2508	26	4	cumulative	cumulative	ADJ
iajs-2508	26	5	distribution	distribution	NOUN
iajs-2508	26	6	function	function	NOUN
iajs-2508	26	7	(	(	PUNCT
iajs-2508	26	8	c.d	c.d	PROPN
iajs-2508	26	9	.	.	PUNCT
iajs-2508	26	10	f.	f.	PROPN
iajs-2508	26	11	)	)	PUNCT
iajs-2508	26	12	of	of	ADP
iajs-2508	26	13	x	x	PRON
iajs-2508	26	14	will	will	AUX
iajs-2508	26	15	be	be	AUX
iajs-2508	26	16	:	:	PUNCT
iajs-2508	26	17	𝐹	𝐹	PROPN
iajs-2508	26	18	𝑥	𝑥	NOUN
iajs-2508	26	19	,	,	PUNCT
iajs-2508	26	20	𝛼	𝛼	PROPN
iajs-2508	26	21	,	,	PUNCT
iajs-2508	26	22	𝜆	𝜆	DET
iajs-2508	26	23	1	1	NUM
iajs-2508	26	24	𝑒	𝑒	ADV
iajs-2508	26	25	;	;	PUNCT
iajs-2508	26	26	,	,	PUNCT
iajs-2508	26	27	𝑥	𝑥	X
iajs-2508	26	28	0	0	NUM
iajs-2508	26	29	(	(	PUNCT
iajs-2508	26	30	2	2	NUM
iajs-2508	26	31	)	)	PUNCT
iajs-2508	26	32	the	the	DET
iajs-2508	26	33	first	first	ADJ
iajs-2508	26	34	who	who	PRON
iajs-2508	26	35	derived	derive	VERB
iajs-2508	26	36	the	the	DET
iajs-2508	26	37	reliability	reliability	NOUN
iajs-2508	26	38	of	of	ADP
iajs-2508	26	39	a	a	DET
iajs-2508	26	40	multicomponent	multicomponent	NOUN
iajs-2508	26	41	system	system	NOUN
iajs-2508	26	42	in	in	ADP
iajs-2508	26	43	stress	stress	NOUN
iajs-2508	26	44	-	-	PUNCT
iajs-2508	26	45	strength	strength	NOUN
iajs-2508	26	46	model	model	NOUN
iajs-2508	26	47	r(s	r(s	PROPN
iajs-2508	26	48	,	,	PUNCT
iajs-2508	26	49	k	k	NOUN
iajs-2508	26	50	)	)	PUNCT
iajs-2508	26	51	was	be	AUX
iajs-2508	26	52	bhattacharyya	bhattacharyya	ADJ
iajs-2508	26	53	and	and	CCONJ
iajs-2508	26	54	johnson	johnson	PROPN
iajs-2508	26	55	(	(	PUNCT
iajs-2508	26	56	1974	1974	NUM
iajs-2508	26	57	)	)	PUNCT
iajs-2508	26	58	as	as	ADP
iajs-2508	26	59	the	the	DET
iajs-2508	26	60	following	follow	VERB
iajs-2508	26	61	form,[1	form,[1	NUM
iajs-2508	26	62	]	]	PUNCT
iajs-2508	26	63	.	.	PUNCT
iajs-2508	27	1	r(s	r(s	PROPN
iajs-2508	27	2	,	,	PUNCT
iajs-2508	27	3	k	k	NOUN
iajs-2508	27	4	)	)	PUNCT
iajs-2508	28	1	=	=	NOUN
iajs-2508	28	2	p(at	p(at	NOUN
iajs-2508	28	3	least	least	ADJ
iajs-2508	28	4	s	s	PROPN
iajs-2508	28	5	of	of	ADP
iajs-2508	28	6	the	the	DET
iajs-2508	28	7	x1	x1	PROPN
iajs-2508	28	8	,	,	PUNCT
iajs-2508	28	9	x2	x2	PROPN
iajs-2508	28	10	,	,	PUNCT
iajs-2508	28	11	…	…	PUNCT
iajs-2508	28	12	,	,	PUNCT
iajs-2508	28	13	xk	xk	PROPN
iajs-2508	28	14	exceed	exceed	VERB
iajs-2508	28	15	y	y	PROPN
iajs-2508	28	16	)	)	PUNCT
iajs-2508	28	17	where	where	SCONJ
iajs-2508	28	18	x1,x2	x1,x2	PROPN
iajs-2508	28	19	…	…	PUNCT
iajs-2508	28	20	,	,	PUNCT
iajs-2508	28	21	xk	xk	PROPN
iajs-2508	28	22	with	with	ADP
iajs-2508	28	23	common	common	ADJ
iajs-2508	28	24	distribution	distribution	NOUN
iajs-2508	28	25	function	function	NOUN
iajs-2508	28	26	f(x	f(x	PROPN
iajs-2508	28	27	)	)	PUNCT
iajs-2508	28	28	is	be	AUX
iajs-2508	28	29	subjected	subject	VERB
iajs-2508	28	30	to	to	ADP
iajs-2508	28	31	the	the	DET
iajs-2508	28	32	common	common	ADJ
iajs-2508	28	33	random	random	ADJ
iajs-2508	28	34	stress	stress	NOUN
iajs-2508	28	35	y	y	PROPN
iajs-2508	28	36	with	with	ADP
iajs-2508	28	37	distribution	distribution	NOUN
iajs-2508	28	38	function	function	NOUN
iajs-2508	28	39	g(y	g(y	NOUN
iajs-2508	28	40	)	)	PUNCT
iajs-2508	28	41	r(s	r(s	PROPN
iajs-2508	28	42	,	,	PUNCT
iajs-2508	28	43	k	k	NOUN
iajs-2508	28	44	)	)	PUNCT
iajs-2508	29	1	=	=	NOUN
iajs-2508	29	2	∑	∑	PROPN
iajs-2508	29	3	1	1	NUM
iajs-2508	29	4	𝐹	𝐹	PROPN
iajs-2508	29	5	𝑦	𝑦	PRON
iajs-2508	29	6	𝐹	𝐹	PROPN
iajs-2508	29	7	𝑦	𝑦	PROPN
iajs-2508	29	8	𝑑𝐺	𝑑𝐺	NOUN
iajs-2508	29	9	𝑦	𝑦	NOUN
iajs-2508	29	10	when	when	SCONJ
iajs-2508	29	11	x~	x~	PROPN
iajs-2508	29	12	efd(𝛼	efd(𝛼	PROPN
iajs-2508	29	13	,	,	PUNCT
iajs-2508	29	14	𝜆	𝜆	NOUN
iajs-2508	29	15	,	,	PUNCT
iajs-2508	29	16	𝜃	𝜃	NOUN
iajs-2508	29	17	and	and	CCONJ
iajs-2508	29	18	y~	y~	PROPN
iajs-2508	29	19	efd	efd	PROPN
iajs-2508	29	20	(	(	PUNCT
iajs-2508	29	21	𝛽	𝛽	PROPN
iajs-2508	29	22	,	,	PUNCT
iajs-2508	29	23	𝜆	𝜆	NOUN
iajs-2508	29	24	,	,	PUNCT
iajs-2508	29	25	𝜃	𝜃	PRON
iajs-2508	29	26	then	then	ADV
iajs-2508	29	27	:	:	PUNCT
iajs-2508	29	28	r(s	r(s	NUM
iajs-2508	29	29	,	,	PUNCT
iajs-2508	29	30	k)=	k)=	VERB
iajs-2508	29	31	∑	∑	PROPN
iajs-2508	29	32	1	1	NUM
iajs-2508	29	33	1	1	NUM
iajs-2508	29	34	𝑒	𝑒	ADV
iajs-2508	29	35	;	;	PUNCT
iajs-2508	29	36	,	,	PUNCT
iajs-2508	29	37	1	1	NUM
iajs-2508	29	38	𝑒	𝑒	ADV
iajs-2508	29	39	;	;	PUNCT
iajs-2508	29	40	,	,	PUNCT
iajs-2508	29	41	𝛽𝜆	𝛽𝜆	NOUN
iajs-2508	29	42	�	�	NOUN
iajs-2508	29	43	̀	̀	PROPN
iajs-2508	29	44	�	�	PROPN
iajs-2508	29	45	𝑦	𝑦	PROPN
iajs-2508	29	46	;	;	PUNCT
iajs-2508	29	47	𝑎	𝑎	X
iajs-2508	29	48	,	,	PUNCT
iajs-2508	29	49	𝜃	𝜃	NOUN
iajs-2508	29	50	𝑒	𝑒	X
iajs-2508	29	51	;	;	PUNCT
iajs-2508	29	52	,	,	PUNCT
iajs-2508	29	53	1	1	NUM
iajs-2508	29	54	𝑒	𝑒	ADV
iajs-2508	29	55	;	;	PUNCT
iajs-2508	29	56	,	,	PUNCT
iajs-2508	29	57	𝑑𝑦	𝑑𝑦	ADP
iajs-2508	29	58	r(s	r(s	PROPN
iajs-2508	29	59	,	,	PUNCT
iajs-2508	29	60	k	k	NOUN
iajs-2508	29	61	)	)	PUNCT
iajs-2508	30	1	=	=	NOUN
iajs-2508	30	2	∑	∑	SYM
iajs-2508	30	3	1	1	NUM
iajs-2508	30	4	1	1	NUM
iajs-2508	30	5	𝑒	𝑒	ADV
iajs-2508	30	6	;	;	PUNCT
iajs-2508	30	7	,	,	PUNCT
iajs-2508	30	8	1	1	NUM
iajs-2508	30	9	𝑒	𝑒	ADV
iajs-2508	30	10	;	;	PUNCT
iajs-2508	30	11	,	,	PUNCT
iajs-2508	30	12	𝛽𝜆	𝛽𝜆	NOUN
iajs-2508	30	13	�	�	NOUN
iajs-2508	30	14	̀	̀	PROPN
iajs-2508	30	15	�	�	PROPN
iajs-2508	30	16	𝑦	𝑦	PROPN
iajs-2508	30	17	;	;	PUNCT
iajs-2508	30	18	𝑎	𝑎	X
iajs-2508	30	19	,	,	PUNCT
iajs-2508	30	20	𝜃	𝜃	NOUN
iajs-2508	30	21	𝑒	𝑒	X
iajs-2508	30	22	;	;	PUNCT
iajs-2508	30	23	,	,	PUNCT
iajs-2508	30	24	1	1	NUM
iajs-2508	30	25	𝑒	𝑒	ADV
iajs-2508	30	26	;	;	PUNCT
iajs-2508	30	27	,	,	PUNCT
iajs-2508	30	28	𝑑𝑦	𝑑𝑦	ADP
iajs-2508	30	29	let	let	VERB
iajs-2508	30	30	z=1	z=1	PUNCT
iajs-2508	30	31	𝑒	𝑒	VERB
iajs-2508	30	32	;	;	PUNCT
iajs-2508	30	33	,	,	PUNCT
iajs-2508	30	34	then	then	ADV
iajs-2508	30	35	𝑑𝑦	𝑑𝑦	ADP
iajs-2508	30	36	̀	̀	PROPN
iajs-2508	30	37	;	;	PUNCT
iajs-2508	30	38	,	,	PUNCT
iajs-2508	30	39	∑	∑	ADP
iajs-2508	30	40	𝛽𝜆	𝛽𝜆	ADP
iajs-2508	30	41	1	1	NUM
iajs-2508	30	42	𝑧	𝑧	PRON
iajs-2508	30	43	𝑧	𝑧	DET
iajs-2508	30	44	�	�	PROPN
iajs-2508	30	45	̀	̀	VERB
iajs-2508	30	46	�	�	PROPN
iajs-2508	30	47	𝑦	𝑦	PROPN
iajs-2508	30	48	;	;	PUNCT
iajs-2508	30	49	𝑎	𝑎	X
iajs-2508	30	50	,	,	PUNCT
iajs-2508	30	51	𝜃	𝜃	PRON
iajs-2508	30	52	1	1	NUM
iajs-2508	30	53	𝑧	𝑧	PRON
iajs-2508	30	54	̀	̀	PROPN
iajs-2508	30	55	;	;	PUNCT
iajs-2508	30	56	,	,	PUNCT
iajs-2508	30	57	=(	=(	PROPN
iajs-2508	30	58	s	s	PROPN
iajs-2508	30	59	,	,	PUNCT
iajs-2508	30	60	k	k	PROPN
iajs-2508	30	61	)	)	PUNCT
iajs-2508	30	62	r	r	NOUN
iajs-2508	30	63	  	  	SPACE
iajs-2508	30	64	52	52	NUM
iajs-2508	30	65	  	  	SPACE
iajs-2508	30	66	ibn	ibn	PROPN
iajs-2508	30	67	al	al	PROPN
iajs-2508	30	68	-	-	PUNCT
iajs-2508	30	69	haitham	haitham	PROPN
iajs-2508	30	70	jour	jour	X
iajs-2508	30	71	.	.	PROPN
iajs-2508	31	1	for	for	ADP
iajs-2508	31	2	pure	pure	ADJ
iajs-2508	31	3	&	&	CCONJ
iajs-2508	31	4	appl	appl	PROPN
iajs-2508	31	5	.	.	PUNCT
iajs-2508	32	1	sci	sci	PROPN
iajs-2508	32	2	.	.	PROPN
iajs-2508	33	1	33	33	NUM
iajs-2508	33	2	(	(	PUNCT
iajs-2508	33	3	4	4	NUM
iajs-2508	33	4	)	)	PUNCT
iajs-2508	33	5	2020	2020	NUM
iajs-2508	34	1	=	=	SYM
iajs-2508	34	2	∑	∑	PART
iajs-2508	34	3	𝛽	𝛽	PROPN
iajs-2508	34	4	1	1	NUM
iajs-2508	34	5	𝑧	𝑧	PRON
iajs-2508	34	6	𝑧	𝑧	PROPN
iajs-2508	34	7	𝑑𝑧	𝑑𝑧	NOUN
iajs-2508	34	8	let	let	VERB
iajs-2508	34	9	𝑤	𝑤	ADP
iajs-2508	34	10	𝑧	𝑧	VERB
iajs-2508	34	11	→	→	X
iajs-2508	34	12	𝑧	𝑧	NOUN
iajs-2508	34	13	𝑤	𝑤	ADP
iajs-2508	34	14	→	→	SYM
iajs-2508	34	15	𝑑𝑧	𝑑𝑧	NOUN
iajs-2508	34	16	𝑤	𝑤	ADP
iajs-2508	34	17	𝑑𝑤	𝑑𝑤	PROPN
iajs-2508	34	18	and	and	CCONJ
iajs-2508	34	19	by	by	ADP
iajs-2508	34	20	simplification	simplification	NOUN
iajs-2508	34	21	,	,	PUNCT
iajs-2508	34	22	r(s	r(s	PROPN
iajs-2508	34	23	,	,	PUNCT
iajs-2508	34	24	k	k	NOUN
iajs-2508	34	25	)	)	PUNCT
iajs-2508	34	26	became	become	VERB
iajs-2508	34	27	:	:	PUNCT
iajs-2508	34	28	r(s	r(s	NUM
iajs-2508	34	29	,	,	PUNCT
iajs-2508	34	30	k)=	k)=	VERB
iajs-2508	34	31	∑	∑	PUNCT
iajs-2508	34	32	!	!	PUNCT
iajs-2508	34	33	!	!	PUNCT
iajs-2508	35	1	∏	∏	PROPN
iajs-2508	36	1	𝑘	𝑘	DET
iajs-2508	36	2	𝑗	𝑗	X
iajs-2508	36	3	;	;	PUNCT
iajs-2508	36	4	𝑘	𝑘	X
iajs-2508	36	5	,	,	PUNCT
iajs-2508	36	6	𝑖	𝑖	PRON
iajs-2508	36	7	,	,	PUNCT
iajs-2508	36	8	𝑗	𝑗	X
iajs-2508	36	9	are	be	AUX
iajs-2508	36	10	integers	integer	NOUN
iajs-2508	36	11	(	(	PUNCT
iajs-2508	36	12	3	3	NUM
iajs-2508	36	13	)	)	SYM
iajs-2508	36	14	2	2	NUM
iajs-2508	36	15	.	.	X
iajs-2508	36	16	estimation	estimation	NOUN
iajs-2508	36	17	methods	method	NOUN
iajs-2508	36	18	of	of	ADP
iajs-2508	36	19	r(s	r(s	PROPN
iajs-2508	36	20	,	,	PUNCT
iajs-2508	36	21	k	k	NOUN
iajs-2508	36	22	)	)	PUNCT
iajs-2508	37	1	3	3	NUM
iajs-2508	37	2	.	.	PUNCT
iajs-2508	37	3	maximum	maximum	ADJ
iajs-2508	37	4	likelihood	likelihood	NOUN
iajs-2508	37	5	estimator	estimator	NOUN
iajs-2508	37	6	(	(	PUNCT
iajs-2508	37	7	mle	mle	PROPN
iajs-2508	37	8	):	):	PUNCT
iajs-2508	37	9	consider	consider	VERB
iajs-2508	37	10	a	a	DET
iajs-2508	37	11	random	random	ADJ
iajs-2508	37	12	sample	sample	NOUN
iajs-2508	37	13	x1,x2,	x1,x2,	PROPN
iajs-2508	37	14	…	…	PUNCT
iajs-2508	37	15	,xn	,xn	PUNCT
iajs-2508	37	16	of	of	ADP
iajs-2508	37	17	size	size	NOUN
iajs-2508	37	18	n	n	ADP
iajs-2508	37	19	following	follow	VERB
iajs-2508	37	20	efd(𝛼	efd(𝛼	PROPN
iajs-2508	37	21	,	,	PUNCT
iajs-2508	37	22	2,3	2,3	NUM
iajs-2508	37	23	,	,	PUNCT
iajs-2508	37	24	x(1	x(1	PROPN
iajs-2508	37	25	)	)	PUNCT
iajs-2508	38	1	<	<	X
iajs-2508	38	2	x(2)<	x(2)<	PROPN
iajs-2508	38	3	…	…	SYM
iajs-2508	38	4	<x(n	<x(n	PROPN
iajs-2508	38	5	)	)	PUNCT
iajs-2508	38	6	,	,	PUNCT
iajs-2508	38	7	the	the	DET
iajs-2508	38	8	order	order	NOUN
iajs-2508	38	9	random	random	ADJ
iajs-2508	38	10	sample	sample	NOUN
iajs-2508	38	11	of	of	ADP
iajs-2508	38	12	x	x	PUNCT
iajs-2508	38	13	and	and	CCONJ
iajs-2508	38	14	y1	y1	INTJ
iajs-2508	38	15	,	,	PUNCT
iajs-2508	38	16	y2,	y2,	PROPN
iajs-2508	38	17	…	…	PUNCT
iajs-2508	38	18	,ym	,ym	NUM
iajs-2508	38	19	is	be	AUX
iajs-2508	38	20	a	a	DET
iajs-2508	38	21	random	random	ADJ
iajs-2508	38	22	sample	sample	NOUN
iajs-2508	38	23	of	of	ADP
iajs-2508	38	24	size	size	NOUN
iajs-2508	38	25	m	m	PROPN
iajs-2508	38	26	follows	follow	VERB
iajs-2508	38	27	efd	efd	PROPN
iajs-2508	38	28	(	(	PUNCT
iajs-2508	38	29	𝛽	𝛽	PROPN
iajs-2508	38	30	,	,	PUNCT
iajs-2508	38	31	2,3	2,3	NUM
iajs-2508	38	32	,	,	PUNCT
iajs-2508	38	33	and	and	CCONJ
iajs-2508	38	34	y(1	y(1	PROPN
iajs-2508	38	35	)	)	PUNCT
iajs-2508	39	1	<	<	X
iajs-2508	39	2	y(2)<	y(2)<	PROPN
iajs-2508	39	3	…	…	SYM
iajs-2508	39	4	<y(m	<y(m	PROPN
iajs-2508	39	5	)	)	PUNCT
iajs-2508	39	6	is	be	AUX
iajs-2508	39	7	the	the	DET
iajs-2508	39	8	order	order	NOUN
iajs-2508	39	9	random	random	ADJ
iajs-2508	39	10	sample	sample	NOUN
iajs-2508	39	11	of	of	ADP
iajs-2508	39	12	y.	y.	PROPN
iajs-2508	39	13	then	then	ADV
iajs-2508	39	14	the	the	DET
iajs-2508	39	15	likelihood	likelihood	NOUN
iajs-2508	39	16	functions	function	NOUN
iajs-2508	39	17	will	will	AUX
iajs-2508	39	18	be	be	AUX
iajs-2508	39	19	as	as	SCONJ
iajs-2508	39	20	follows	follow	VERB
iajs-2508	39	21	:	:	PUNCT
iajs-2508	40	1	[	[	X
iajs-2508	40	2	9	9	NUM
iajs-2508	40	3	]	]	PUNCT
iajs-2508	40	4	l=	l=	ADJ
iajs-2508	40	5	l(𝛼	l(𝛼	PROPN
iajs-2508	40	6	,	,	PUNCT
iajs-2508	40	7	𝛽	𝛽	NOUN
iajs-2508	40	8	;	;	PUNCT
iajs-2508	40	9	𝑥	𝑥	X
iajs-2508	40	10	,	,	PUNCT
iajs-2508	40	11	𝑦)=∏	𝑦)=∏	PROPN
iajs-2508	40	12	𝑓	𝑓	PRON
iajs-2508	40	13	𝑥	𝑥	X
iajs-2508	40	14	∏	∏	PROPN
iajs-2508	40	15	𝑓	𝑓	PRON
iajs-2508	40	16	𝑦	𝑦	NOUN
iajs-2508	40	17	)	)	PUNCT
iajs-2508	40	18	=	=	SYM
iajs-2508	40	19	∏	∏	NUM
iajs-2508	40	20	𝛼𝜆	𝛼𝜆	SYM
iajs-2508	40	21	�	�	PROPN
iajs-2508	40	22	̀	̀	ADJ
iajs-2508	40	23	�	�	PROPN
iajs-2508	40	24	𝑥	𝑥	PROPN
iajs-2508	40	25	;	;	PUNCT
iajs-2508	40	26	𝑎	𝑎	X
iajs-2508	40	27	,	,	PUNCT
iajs-2508	40	28	𝜃	𝜃	NOUN
iajs-2508	40	29	𝑒	𝑒	X
iajs-2508	40	30	;	;	PUNCT
iajs-2508	40	31	,	,	PUNCT
iajs-2508	40	32	1	1	NUM
iajs-2508	40	33	𝑒	𝑒	ADV
iajs-2508	40	34	;	;	PUNCT
iajs-2508	40	35	,	,	PUNCT
iajs-2508	40	36	∏	∏	PROPN
iajs-2508	40	37	𝛽𝜆	𝛽𝜆	SYM
iajs-2508	40	38	�	�	NOUN
iajs-2508	40	39	̀	̀	PROPN
iajs-2508	40	40	�	�	PROPN
iajs-2508	40	41	𝑦	𝑦	PROPN
iajs-2508	40	42	;	;	PUNCT
iajs-2508	40	43	𝑎	𝑎	X
iajs-2508	40	44	,	,	PUNCT
iajs-2508	40	45	𝜃	𝜃	NOUN
iajs-2508	40	46	𝑒	𝑒	X
iajs-2508	40	47	;	;	PUNCT
iajs-2508	40	48	,	,	PUNCT
iajs-2508	40	49	1	1	NUM
iajs-2508	40	50	𝑒	𝑒	ADV
iajs-2508	40	51	;	;	PUNCT
iajs-2508	40	52	,	,	PUNCT
iajs-2508	40	53	=	=	NOUN
iajs-2508	40	54	𝛼	𝛼	X
iajs-2508	40	55	𝜆	𝜆	X
iajs-2508	40	56	𝑒	𝑒	ADP
iajs-2508	40	57	∑	∑	PROPN
iajs-2508	40	58	;	;	PUNCT
iajs-2508	40	59	,	,	PUNCT
iajs-2508	40	60	∏	∏	PROPN
iajs-2508	40	61	�	�	PROPN
iajs-2508	40	62	̀	̀	NOUN
iajs-2508	40	63	�	�	PROPN
iajs-2508	40	64	𝑥	𝑥	PROPN
iajs-2508	40	65	;	;	PUNCT
iajs-2508	40	66	𝑎	𝑎	X
iajs-2508	40	67	,	,	PUNCT
iajs-2508	40	68	𝜃	𝜃	X
iajs-2508	40	69	∏	∏	NUM
iajs-2508	40	70	1	1	NUM
iajs-2508	40	71	𝑒	𝑒	ADV
iajs-2508	40	72	;	;	PUNCT
iajs-2508	40	73	,	,	PUNCT
iajs-2508	40	74	𝛽	𝛽	NOUN
iajs-2508	40	75	𝑒	𝑒	ADV
iajs-2508	40	76	∑	∑	PROPN
iajs-2508	40	77	;	;	PUNCT
iajs-2508	40	78	,	,	PUNCT
iajs-2508	40	79	∏	∏	PROPN
iajs-2508	40	80	�	�	PROPN
iajs-2508	40	81	̀	̀	PROPN
iajs-2508	40	82	�	�	PROPN
iajs-2508	40	83	𝑦	𝑦	PROPN
iajs-2508	40	84	;	;	PUNCT
iajs-2508	40	85	𝑎	𝑎	X
iajs-2508	40	86	,	,	PUNCT
iajs-2508	40	87	𝜃	𝜃	X
iajs-2508	40	88	∏	∏	NUM
iajs-2508	40	89	1	1	NUM
iajs-2508	40	90	𝑒	𝑒	NOUN
iajs-2508	40	91	;	;	PUNCT
iajs-2508	40	92	,	,	PUNCT
iajs-2508	40	93	ln	ln	ADV
iajs-2508	40	94	𝑙	𝑙	CCONJ
iajs-2508	40	95	𝑛𝑙𝑛𝛼	𝑛𝑙𝑛𝛼	NOUN
iajs-2508	40	96	𝑛	𝑛	ADP
iajs-2508	40	97	𝑚	𝑚	X
iajs-2508	40	98	ln	ln	NOUN
iajs-2508	40	99	𝜆	𝜆	DET
iajs-2508	40	100	∑	∑	PUNCT
iajs-2508	40	101	�	�	PROPN
iajs-2508	40	102	̀	̀	PROPN
iajs-2508	40	103	�	�	PROPN
iajs-2508	40	104	𝑥𝑖	𝑥𝑖	PROPN
iajs-2508	40	105	;	;	PUNCT
iajs-2508	40	106	𝑎	𝑎	X
iajs-2508	40	107	,	,	PUNCT
iajs-2508	40	108	𝜃	𝜃	NOUN
iajs-2508	40	109	𝜆	𝜆	NOUN
iajs-2508	40	110	∑	∑	PROPN
iajs-2508	40	111	𝑔	𝑔	PROPN
iajs-2508	40	112	𝑥𝑖	𝑥𝑖	PROPN
iajs-2508	40	113	;	;	PUNCT
iajs-2508	40	114	𝑎	𝑎	X
iajs-2508	40	115	,	,	PUNCT
iajs-2508	40	116	𝜃	𝜃	NOUN
iajs-2508	40	117	𝛼	𝛼	PRON
iajs-2508	40	118	1	1	NUM
iajs-2508	40	119	∑	∑	PUNCT
iajs-2508	40	120	ln	ln	PROPN
iajs-2508	40	121	1	1	NUM
iajs-2508	40	122	𝑒	𝑒	PRON
iajs-2508	40	123	𝜆𝑔	𝜆𝑔	ADP
iajs-2508	40	124	𝑥𝑖;𝑎,𝜃	𝑥𝑖;𝑎,𝜃	ADJ
iajs-2508	40	125	+	+	CCONJ
iajs-2508	40	126	𝑚𝑙𝑛𝛽	𝑚𝑙𝑛𝛽	ADJ
iajs-2508	40	127	∑	∑	PUNCT
iajs-2508	40	128	�	�	PROPN
iajs-2508	40	129	̀	̀	PROPN
iajs-2508	40	130	�	�	PROPN
iajs-2508	40	131	𝑦	𝑦	NOUN
iajs-2508	40	132	𝑗	𝑗	X
iajs-2508	40	133	;	;	PUNCT
iajs-2508	40	134	𝑎	𝑎	X
iajs-2508	40	135	,	,	PUNCT
iajs-2508	40	136	𝜃	𝜃	NOUN
iajs-2508	40	137	𝜆	𝜆	NOUN
iajs-2508	40	138	∑	∑	PUNCT
iajs-2508	40	139	𝑔	𝑔	PROPN
iajs-2508	40	140	𝑦	𝑦	NOUN
iajs-2508	40	141	𝑗	𝑗	X
iajs-2508	40	142	;	;	PUNCT
iajs-2508	40	143	𝑎	𝑎	X
iajs-2508	40	144	,	,	PUNCT
iajs-2508	40	145	𝜃	𝜃	NOUN
iajs-2508	40	146	𝛽	𝛽	NOUN
iajs-2508	40	147	1	1	NUM
iajs-2508	40	148	∑	∑	PART
iajs-2508	40	149	ln	ln	PROPN
iajs-2508	40	150	1	1	NUM
iajs-2508	40	151	𝑒	𝑒	NOUN
iajs-2508	40	152	𝜆𝑔	𝜆𝑔	ADP
iajs-2508	40	153	𝑦𝑗;𝑎,𝜃	𝑦𝑗;𝑎,𝜃	PROPN
iajs-2508	40	154	∑	∑	PROPN
iajs-2508	40	155	𝑙𝑛	𝑙𝑛	NOUN
iajs-2508	40	156	1	1	NUM
iajs-2508	40	157	𝑒	𝑒	ADV
iajs-2508	40	158	𝜆𝑔	𝜆𝑔	ADP
iajs-2508	40	159	𝑥𝑖;𝑎,𝜃	𝑥𝑖;𝑎,𝜃	NOUN
iajs-2508	40	160	0	0	PUNCT
iajs-2508	40	161	∑	∑	PROPN
iajs-2508	40	162	𝑙𝑛	𝑙𝑛	NOUN
iajs-2508	40	163	1	1	NUM
iajs-2508	40	164	𝑒	𝑒	ADV
iajs-2508	40	165	𝜆𝑔	𝜆𝑔	NOUN
iajs-2508	40	166	𝑦𝑗;𝑎,𝜃	𝑦𝑗;𝑎,𝜃	NUM
iajs-2508	40	167	0	0	PUNCT
iajs-2508	40	168	thus	thus	ADV
iajs-2508	40	169	,	,	PUNCT
iajs-2508	40	170	the	the	DET
iajs-2508	40	171	maximum	maximum	ADJ
iajs-2508	40	172	likelihood	likelihood	NOUN
iajs-2508	40	173	estimator	estimator	NOUN
iajs-2508	40	174	of	of	ADP
iajs-2508	40	175	the	the	DET
iajs-2508	40	176	parameters	parameter	NOUN
iajs-2508	40	177	𝛼	𝛼	VERB
iajs-2508	40	178	and	and	CCONJ
iajs-2508	40	179	β	β	X
iajs-2508	40	180	will	will	AUX
iajs-2508	40	181	be	be	AUX
iajs-2508	40	182	as	as	SCONJ
iajs-2508	40	183	follows	follow	VERB
iajs-2508	40	184	:	:	PUNCT
iajs-2508	40	185	α	α	X
iajs-2508	40	186	∑	∑	PROPN
iajs-2508	40	187	𝑒	𝑒	PROPN
iajs-2508	40	188	𝜆𝑔	𝜆𝑔	ADP
iajs-2508	40	189	𝑥𝑖;𝑎,𝜃	𝑥𝑖;𝑎,𝜃	NUM
iajs-2508	40	190	(	(	PUNCT
iajs-2508	40	191	4	4	NUM
iajs-2508	40	192	)	)	PUNCT
iajs-2508	40	193	𝛽	𝛽	NOUN
iajs-2508	40	194	∑	∑	PROPN
iajs-2508	40	195	1	1	NUM
iajs-2508	40	196	𝑒	𝑒	PRON
iajs-2508	40	197	𝜆𝑔	𝜆𝑔	ADP
iajs-2508	40	198	𝑦𝑗;𝑎,𝜃	𝑦𝑗;𝑎,𝜃	NUM
iajs-2508	40	199	(	(	PUNCT
iajs-2508	40	200	5	5	NUM
iajs-2508	40	201	)	)	PUNCT
iajs-2508	40	202	by	by	ADP
iajs-2508	40	203	substituting	substitute	VERB
iajs-2508	40	204	α	α	NOUN
iajs-2508	40	205	,	,	PUNCT
iajs-2508	40	206	𝛽	𝛽	NOUN
iajs-2508	40	207	in	in	ADP
iajs-2508	40	208	equation	equation	NOUN
iajs-2508	40	209	(	(	PUNCT
iajs-2508	40	210	3	3	NUM
iajs-2508	40	211	)	)	PUNCT
iajs-2508	40	212	,	,	PUNCT
iajs-2508	40	213	obtains	obtain	VERB
iajs-2508	40	214	the	the	DET
iajs-2508	40	215	maximum	maximum	ADJ
iajs-2508	40	216	likelihood	likelihood	NOUN
iajs-2508	40	217	estimator	estimator	NOUN
iajs-2508	40	218	for	for	ADP
iajs-2508	40	219	r(s	r(s	PROPN
iajs-2508	40	220	,	,	PUNCT
iajs-2508	40	221	k	k	NOUN
iajs-2508	40	222	)	)	PUNCT
iajs-2508	40	223	:	:	PUNCT
iajs-2508	40	224	𝑅	𝑅	NOUN
iajs-2508	40	225	,	,	PUNCT
iajs-2508	40	226	∑	∑	PROPN
iajs-2508	40	227	!	!	PUNCT
iajs-2508	40	228	!	!	PUNCT
iajs-2508	41	1	∏	∏	PROPN
iajs-2508	42	1	𝑘	𝑘	PRON
iajs-2508	42	2	𝑗	𝑗	PROPN
iajs-2508	42	3	(	(	PUNCT
iajs-2508	42	4	6	6	NUM
iajs-2508	42	5	)	)	PUNCT
iajs-2508	42	6	  	  	SPACE
iajs-2508	42	7	53	53	NUM
iajs-2508	42	8	  	  	SPACE
iajs-2508	42	9	ibn	ibn	PROPN
iajs-2508	42	10	al	al	PROPN
iajs-2508	42	11	-	-	PUNCT
iajs-2508	42	12	haitham	haitham	PROPN
iajs-2508	42	13	jour	jour	X
iajs-2508	42	14	.	.	PROPN
iajs-2508	43	1	for	for	ADP
iajs-2508	43	2	pure	pure	ADJ
iajs-2508	43	3	&	&	CCONJ
iajs-2508	43	4	appl	appl	PROPN
iajs-2508	43	5	.	.	PUNCT
iajs-2508	44	1	sci	sci	PROPN
iajs-2508	44	2	.	.	PROPN
iajs-2508	45	1	33	33	NUM
iajs-2508	45	2	(	(	PUNCT
iajs-2508	45	3	4	4	NUM
iajs-2508	45	4	)	)	PUNCT
iajs-2508	45	5	2020	2020	NUM
iajs-2508	45	6	4	4	NUM
iajs-2508	45	7	.	.	PUNCT
iajs-2508	46	1	shrinkage	shrinkage	NOUN
iajs-2508	46	2	estimation	estimation	NOUN
iajs-2508	46	3	method	method	NOUN
iajs-2508	46	4	(	(	PUNCT
iajs-2508	46	5	sh1	sh1	PROPN
iajs-2508	46	6	):	):	PUNCT
iajs-2508	46	7	thompson	thompson	NOUN
iajs-2508	46	8	in	in	ADP
iajs-2508	46	9	1968	1968	NUM
iajs-2508	46	10	assumed	assume	VERB
iajs-2508	46	11	the	the	DET
iajs-2508	46	12	problem	problem	NOUN
iajs-2508	46	13	of	of	ADP
iajs-2508	46	14	shrink	shrink	NOUN
iajs-2508	46	15	was	be	AUX
iajs-2508	46	16	a	a	DET
iajs-2508	46	17	usual	usual	ADJ
iajs-2508	46	18	estimator	estimator	NOUN
iajs-2508	46	19	𝛼	𝛼	PROPN
iajs-2508	46	20	of	of	ADP
iajs-2508	46	21	the	the	DET
iajs-2508	46	22	parameter	parameter	NOUN
iajs-2508	46	23	𝛼	𝛼	PUNCT
iajs-2508	46	24	to	to	ADP
iajs-2508	46	25	prior	prior	ADJ
iajs-2508	46	26	information	information	NOUN
iajs-2508	46	27	𝛼	𝛼	NOUN
iajs-2508	46	28	using	use	VERB
iajs-2508	46	29	shrinkage	shrinkage	NOUN
iajs-2508	46	30	weight	weight	NOUN
iajs-2508	46	31	factor	factor	NOUN
iajs-2508	46	32	∅	∅	NOUN
iajs-2508	46	33	𝛼	𝛼	NOUN
iajs-2508	46	34	)	)	PUNCT
iajs-2508	46	35	,	,	PUNCT
iajs-2508	46	36	such	such	ADJ
iajs-2508	46	37	that	that	SCONJ
iajs-2508	46	38	0	0	NUM
iajs-2508	46	39	∅	∅	NOUN
iajs-2508	46	40	𝛼	𝛼	NOUN
iajs-2508	46	41	1	1	NUM
iajs-2508	46	42	.	.	PUNCT
iajs-2508	46	43	thompson	thompson	PROPN
iajs-2508	46	44	estimating	estimate	VERB
iajs-2508	46	45	𝛼	𝛼	PRON
iajs-2508	46	46	and	and	CCONJ
iajs-2508	46	47	he	he	PRON
iajs-2508	46	48	believed	believe	VERB
iajs-2508	46	49	that	that	SCONJ
iajs-2508	46	50	𝛼	𝛼	NOUN
iajs-2508	46	51	was	be	AUX
iajs-2508	46	52	closed	close	VERB
iajs-2508	46	53	to	to	ADP
iajs-2508	46	54	the	the	DET
iajs-2508	46	55	true	true	ADJ
iajs-2508	46	56	value	value	NOUN
iajs-2508	46	57	of	of	ADP
iajs-2508	46	58	𝛼	𝛼	PRON
iajs-2508	46	59	or	or	CCONJ
iajs-2508	46	60	𝛼	𝛼	PRON
iajs-2508	46	61	that	that	PRON
iajs-2508	46	62	may	may	AUX
iajs-2508	46	63	be	be	AUX
iajs-2508	46	64	near	near	ADP
iajs-2508	46	65	the	the	DET
iajs-2508	46	66	true	true	ADJ
iajs-2508	46	67	value	value	NOUN
iajs-2508	46	68	of	of	ADP
iajs-2508	46	69	𝛼	𝛼	PRON
iajs-2508	46	70	.thus	.thus	ADV
iajs-2508	46	71	,	,	PUNCT
iajs-2508	46	72	the	the	DET
iajs-2508	46	73	form	form	NOUN
iajs-2508	46	74	of	of	ADP
iajs-2508	46	75	thompson	thompson	NOUN
iajs-2508	46	76	type	type	NOUN
iajs-2508	46	77	shrinkage	shrinkage	NOUN
iajs-2508	46	78	estimator	estimator	NOUN
iajs-2508	46	79	of	of	ADP
iajs-2508	46	80	α	α	PROPN
iajs-2508	46	81	say	say	VERB
iajs-2508	46	82	𝛼	𝛼	PRON
iajs-2508	46	83	will	will	AUX
iajs-2508	46	84	be[10	be[10	NUM
iajs-2508	46	85	]	]	PUNCT
iajs-2508	46	86	.	.	PUNCT
iajs-2508	47	1	𝛼	𝛼	PRON
iajs-2508	47	2	∅	∅	NOUN
iajs-2508	47	3	𝛼	𝛼	NOUN
iajs-2508	47	4	𝛼	𝛼	SYM
iajs-2508	47	5	1	1	NUM
iajs-2508	47	6	∅	∅	NOUN
iajs-2508	47	7	𝛼	𝛼	ADP
iajs-2508	47	8	𝛼	𝛼	NOUN
iajs-2508	47	9	(	(	PUNCT
iajs-2508	47	10	7	7	NUM
iajs-2508	47	11	)	)	PUNCT
iajs-2508	47	12	in	in	ADP
iajs-2508	47	13	this	this	DET
iajs-2508	47	14	paper	paper	NOUN
iajs-2508	47	15	,	,	PUNCT
iajs-2508	47	16	we	we	PRON
iajs-2508	47	17	apply	apply	VERB
iajs-2508	47	18	the	the	DET
iajs-2508	47	19	unbiased	unbiased	ADJ
iajs-2508	47	20	estimator	estimator	NOUN
iajs-2508	47	21	𝛼	𝛼	PROPN
iajs-2508	47	22	as	as	ADP
iajs-2508	47	23	a	a	DET
iajs-2508	47	24	usual	usual	ADJ
iajs-2508	47	25	estimator	estimator	NOUN
iajs-2508	47	26	and	and	CCONJ
iajs-2508	47	27	𝛼	𝛼	ADJ
iajs-2508	47	28	𝛼	𝛼	NOUN
iajs-2508	47	29	as	as	ADP
iajs-2508	47	30	a	a	DET
iajs-2508	47	31	prior	prior	ADJ
iajs-2508	47	32	estimation	estimation	NOUN
iajs-2508	47	33	of	of	ADP
iajs-2508	47	34	α	α	PROPN
iajs-2508	47	35	in	in	ADP
iajs-2508	47	36	equation	equation	NOUN
iajs-2508	47	37	(	(	PUNCT
iajs-2508	47	38	7	7	NUM
iajs-2508	47	39	)	)	PUNCT
iajs-2508	47	40	,	,	PUNCT
iajs-2508	47	41	as	as	SCONJ
iajs-2508	47	42	we	we	PRON
iajs-2508	47	43	mentioned	mention	VERB
iajs-2508	47	44	,	,	PUNCT
iajs-2508	47	45	∅	∅	NOUN
iajs-2508	47	46	𝛼	𝛼	X
iajs-2508	47	47	denotes	denote	NOUN
iajs-2508	47	48	the	the	DET
iajs-2508	47	49	shrinkage	shrinkage	NOUN
iajs-2508	47	50	weight	weight	NOUN
iajs-2508	47	51	factor	factor	NOUN
iajs-2508	47	52	such	such	ADJ
iajs-2508	47	53	that	that	SCONJ
iajs-2508	47	54	0	0	NUM
iajs-2508	47	55	∅	∅	NOUN
iajs-2508	47	56	𝛼	𝛼	NOUN
iajs-2508	47	57	1	1	NUM
iajs-2508	47	58	,	,	PUNCT
iajs-2508	47	59	which	which	PRON
iajs-2508	47	60	may	may	AUX
iajs-2508	47	61	be	be	AUX
iajs-2508	47	62	a	a	DET
iajs-2508	47	63	function	function	NOUN
iajs-2508	47	64	of	of	ADP
iajs-2508	47	65	𝛼	𝛼	PRON
iajs-2508	47	66	;	;	PUNCT
iajs-2508	47	67	a	a	DET
iajs-2508	47	68	function	function	NOUN
iajs-2508	47	69	of	of	ADP
iajs-2508	47	70	sample	sample	NOUN
iajs-2508	47	71	size	size	NOUN
iajs-2508	47	72	(	(	PUNCT
iajs-2508	47	73	n	n	CCONJ
iajs-2508	47	74	,	,	PUNCT
iajs-2508	47	75	m	m	NOUN
iajs-2508	47	76	)	)	PUNCT
iajs-2508	47	77	or	or	CCONJ
iajs-2508	47	78	may	may	AUX
iajs-2508	47	79	be	be	AUX
iajs-2508	47	80	constant	constant	ADJ
iajs-2508	47	81	(	(	PUNCT
iajs-2508	47	82	ad	ad	X
iajs-2508	47	83	hoc	hoc	X
iajs-2508	47	84	basis	basis	NOUN
iajs-2508	47	85	)	)	PUNCT
iajs-2508	47	86	.	.	PUNCT
iajs-2508	48	1	note	note	VERB
iajs-2508	48	2	that	that	SCONJ
iajs-2508	48	3	:	:	PUNCT
iajs-2508	49	1	[	[	X
iajs-2508	49	2	9	9	NUM
iajs-2508	49	3	]	]	SYM
iajs-2508	49	4	𝛼	𝛼	NOUN
iajs-2508	49	5	𝛼	𝛼	NOUN
iajs-2508	49	6	,	,	PUNCT
iajs-2508	49	7	var	var	PROPN
iajs-2508	49	8	(	(	PUNCT
iajs-2508	49	9	𝛼	𝛼	NOUN
iajs-2508	49	10	)	)	PUNCT
iajs-2508	49	11	=	=	PUNCT
iajs-2508	50	1	and	and	CCONJ
iajs-2508	50	2	,	,	PUNCT
iajs-2508	50	3	𝛽	𝛽	PROPN
iajs-2508	50	4	𝛽	𝛽	PROPN
iajs-2508	50	5	,	,	PUNCT
iajs-2508	50	6	var	var	NOUN
iajs-2508	50	7	(	(	PUNCT
iajs-2508	50	8	𝛽	𝛽	NOUN
iajs-2508	50	9	)	)	PUNCT
iajs-2508	50	10	=	=	PUNCT
iajs-2508	51	1	4.1	4.1	NUM
iajs-2508	51	2	.	.	PUNCT
iajs-2508	52	1	the	the	DET
iajs-2508	52	2	shrinkage	shrinkage	NOUN
iajs-2508	52	3	weight	weight	NOUN
iajs-2508	52	4	function	function	NOUN
iajs-2508	52	5	(	(	PUNCT
iajs-2508	52	6	sh1	sh1	PROPN
iajs-2508	52	7	)	)	PUNCT
iajs-2508	52	8	the	the	DET
iajs-2508	52	9	shrinkage	shrinkage	NOUN
iajs-2508	52	10	weight	weight	NOUN
iajs-2508	52	11	factor	factor	NOUN
iajs-2508	52	12	as	as	ADP
iajs-2508	52	13	a	a	DET
iajs-2508	52	14	function	function	NOUN
iajs-2508	52	15	of	of	ADP
iajs-2508	52	16	sample	sample	NOUN
iajs-2508	52	17	sizes	size	NOUN
iajs-2508	52	18	n	n	PRON
iajs-2508	52	19	and	and	CCONJ
iajs-2508	52	20	m	m	PROPN
iajs-2508	52	21	respectively	respectively	ADV
iajs-2508	52	22	will	will	AUX
iajs-2508	52	23	be	be	AUX
iajs-2508	52	24	considered	consider	VERB
iajs-2508	52	25	in	in	ADP
iajs-2508	52	26	this	this	DET
iajs-2508	52	27	subsection	subsection	NOUN
iajs-2508	52	28	and	and	CCONJ
iajs-2508	52	29	take	take	VERB
iajs-2508	52	30	the	the	DET
iajs-2508	52	31	form	form	NOUN
iajs-2508	52	32	below	below	ADV
iajs-2508	52	33	:	:	PUNCT
iajs-2508	52	34	i.e.	i.e.	X
iajs-2508	52	35	∅	∅	NOUN
iajs-2508	52	36	𝛼	𝛼	X
iajs-2508	52	37	beta	beta	NOUN
iajs-2508	52	38	(	(	PUNCT
iajs-2508	52	39	n	n	CCONJ
iajs-2508	52	40	,	,	PUNCT
iajs-2508	52	41	m	m	NOUN
iajs-2508	52	42	)	)	PUNCT
iajs-2508	52	43	and	and	CCONJ
iajs-2508	52	44	∅	∅	NOUN
iajs-2508	52	45	𝛽	𝛽	PRON
iajs-2508	52	46	beta	beta	NOUN
iajs-2508	52	47	m	m	PROPN
iajs-2508	52	48	,	,	PUNCT
iajs-2508	52	49	n	n	CCONJ
iajs-2508	52	50	where	where	SCONJ
iajs-2508	52	51	n	n	CCONJ
iajs-2508	52	52	,	,	PUNCT
iajs-2508	52	53	and	and	CCONJ
iajs-2508	52	54	m	m	PROPN
iajs-2508	52	55	are	be	AUX
iajs-2508	52	56	sample	sample	NOUN
iajs-2508	52	57	sizes	size	NOUN
iajs-2508	52	58	,	,	PUNCT
iajs-2508	52	59	therefore	therefore	ADV
iajs-2508	52	60	the	the	DET
iajs-2508	52	61	shrinkage	shrinkage	NOUN
iajs-2508	52	62	estimator	estimator	NOUN
iajs-2508	52	63	using	use	VERB
iajs-2508	52	64	shrinkage	shrinkage	NOUN
iajs-2508	52	65	weight	weight	NOUN
iajs-2508	52	66	function	function	NOUN
iajs-2508	52	67	of	of	ADP
iajs-2508	52	68	𝛼	𝛼	PRON
iajs-2508	52	69	and	and	CCONJ
iajs-2508	52	70	β	β	NOUN
iajs-2508	52	71	which	which	PRON
iajs-2508	52	72	is	be	AUX
iajs-2508	52	73	defined	define	VERB
iajs-2508	52	74	in	in	ADP
iajs-2508	52	75	equation	equation	NOUN
iajs-2508	52	76	(	(	PUNCT
iajs-2508	52	77	7	7	NUM
iajs-2508	52	78	)	)	PUNCT
iajs-2508	52	79	,	,	PUNCT
iajs-2508	52	80	will	will	AUX
iajs-2508	52	81	take	take	VERB
iajs-2508	52	82	the	the	DET
iajs-2508	52	83	following	follow	VERB
iajs-2508	52	84	formula	formula	NOUN
iajs-2508	52	85	:	:	PUNCT
iajs-2508	52	86	𝛼	𝛼	X
iajs-2508	52	87	∅	∅	NOUN
iajs-2508	52	88	𝛼	𝛼	NOUN
iajs-2508	52	89	𝛼	𝛼	SYM
iajs-2508	52	90	1	1	NUM
iajs-2508	52	91	∅	∅	NOUN
iajs-2508	52	92	𝛼	𝛼	NOUN
iajs-2508	52	93	𝛼	𝛼	NOUN
iajs-2508	52	94	(	(	PUNCT
iajs-2508	52	95	8)	8)	NUM
iajs-2508	52	96	𝛽	𝛽	NOUN
iajs-2508	52	97	∅	∅	NOUN
iajs-2508	52	98	𝛽	𝛽	NOUN
iajs-2508	52	99	𝛽	𝛽	NOUN
iajs-2508	52	100	1	1	NUM
iajs-2508	52	101	∅	∅	NOUN
iajs-2508	52	102	𝛽	𝛽	NOUN
iajs-2508	52	103	𝛽	𝛽	NOUN
iajs-2508	52	104	(	(	PUNCT
iajs-2508	52	105	9	9	NUM
iajs-2508	52	106	)	)	PUNCT
iajs-2508	52	107	also	also	ADV
iajs-2508	52	108	,	,	PUNCT
iajs-2508	52	109	as	as	SCONJ
iajs-2508	52	110	thompson	thompson	PROPN
iajs-2508	52	111	mentioned	mention	VERB
iajs-2508	52	112	,	,	PUNCT
iajs-2508	52	113	𝛼	𝛼	PRON
iajs-2508	52	114	and	and	CCONJ
iajs-2508	52	115	𝛽	𝛽	NOUN
iajs-2508	52	116	are	be	AUX
iajs-2508	52	117	closed	close	VERB
iajs-2508	52	118	to	to	ADP
iajs-2508	52	119	the	the	DET
iajs-2508	52	120	real	real	ADJ
iajs-2508	52	121	value	value	NOUN
iajs-2508	52	122	of	of	ADP
iajs-2508	52	123	𝛼	𝛼	PROPN
iajs-2508	52	124	𝑎𝑛𝑑	𝑎𝑛𝑑	NOUN
iajs-2508	52	125	𝛽	𝛽	PROPN
iajs-2508	52	126	respectively.then	respectively.then	ADV
iajs-2508	52	127	,	,	PUNCT
iajs-2508	52	128	the	the	DET
iajs-2508	52	129	shrinkage	shrinkage	NOUN
iajs-2508	52	130	estimation	estimation	NOUN
iajs-2508	52	131	𝑅	𝑅	PROPN
iajs-2508	52	132	,	,	PUNCT
iajs-2508	52	133	in	in	ADP
iajs-2508	52	134	equation	equation	NOUN
iajs-2508	52	135	(	(	PUNCT
iajs-2508	52	136	3	3	X
iajs-2508	52	137	)	)	PUNCT
iajs-2508	52	138	using	use	VERB
iajs-2508	52	139	shrinkage	shrinkage	NOUN
iajs-2508	52	140	weight	weight	NOUN
iajs-2508	52	141	function	function	NOUN
iajs-2508	52	142	will	will	AUX
iajs-2508	52	143	be	be	AUX
iajs-2508	52	144	:	:	PUNCT
iajs-2508	52	145	𝑅	𝑅	PROPN
iajs-2508	52	146	,	,	PUNCT
iajs-2508	52	147	∑	∑	PROPN
iajs-2508	52	148	!	!	PUNCT
iajs-2508	52	149	!	!	PUNCT
iajs-2508	53	1	∏	∏	PROPN
iajs-2508	54	1	𝑘	𝑘	PRON
iajs-2508	54	2	𝑗	𝑗	PROPN
iajs-2508	54	3	(	(	PUNCT
iajs-2508	54	4	10	10	NUM
iajs-2508	54	5	)	)	PUNCT
iajs-2508	54	6	4.2	4.2	NUM
iajs-2508	54	7	.	.	PUNCT
iajs-2508	55	1	constant	constant	ADJ
iajs-2508	55	2	shrinkage	shrinkage	NOUN
iajs-2508	55	3	weight	weight	NOUN
iajs-2508	55	4	factor	factor	NOUN
iajs-2508	55	5	(	(	PUNCT
iajs-2508	55	6	sh2	sh2	PROPN
iajs-2508	55	7	):	):	PUNCT
iajs-2508	55	8	we	we	PRON
iajs-2508	55	9	suggest	suggest	VERB
iajs-2508	55	10	in	in	ADP
iajs-2508	55	11	this	this	DET
iajs-2508	55	12	subsection	subsection	NOUN
iajs-2508	55	13	constant	constant	ADJ
iajs-2508	55	14	shrinkage	shrinkage	NOUN
iajs-2508	55	15	weight	weight	NOUN
iajs-2508	55	16	factor	factor	NOUN
iajs-2508	55	17	∅	∅	NOUN
iajs-2508	55	18	𝛼	𝛼	NOUN
iajs-2508	55	19	0.05	0.05	NUM
iajs-2508	55	20	,	,	PUNCT
iajs-2508	55	21	and	and	CCONJ
iajs-2508	55	22	∅	∅	NOUN
iajs-2508	55	23	𝛽	𝛽	NOUN
iajs-2508	55	24	0.05	0.05	NUM
iajs-2508	55	25	.	.	PUNCT
iajs-2508	56	1	therefore	therefore	ADV
iajs-2508	56	2	,	,	PUNCT
iajs-2508	56	3	the	the	DET
iajs-2508	56	4	shrinkage	shrinkage	NOUN
iajs-2508	56	5	estimator	estimator	NOUN
iajs-2508	56	6	through	through	ADP
iajs-2508	56	7	specific	specific	ADJ
iajs-2508	56	8	constant	constant	ADJ
iajs-2508	56	9	weight	weight	NOUN
iajs-2508	56	10	factor	factor	NOUN
iajs-2508	56	11	will	will	AUX
iajs-2508	56	12	be	be	AUX
iajs-2508	56	13	as	as	SCONJ
iajs-2508	56	14	follows	follow	VERB
iajs-2508	56	15	:	:	PUNCT
iajs-2508	57	1	𝛼	𝛼	NOUN
iajs-2508	57	2	0.05	0.05	NUM
iajs-2508	57	3	𝛼	𝛼	NOUN
iajs-2508	57	4	0.95	0.95	NUM
iajs-2508	57	5	𝛼	𝛼	NOUN
iajs-2508	57	6	(	(	PUNCT
iajs-2508	57	7	11	11	NUM
iajs-2508	57	8	)	)	PUNCT
iajs-2508	57	9	𝛽	𝛽	NOUN
iajs-2508	57	10	0.05	0.05	NUM
iajs-2508	57	11	𝛽	𝛽	NOUN
iajs-2508	57	12	0.95	0.95	NUM
iajs-2508	57	13	𝛽	𝛽	NOUN
iajs-2508	57	14	(	(	PUNCT
iajs-2508	57	15	12	12	NUM
iajs-2508	57	16	)	)	PUNCT
iajs-2508	57	17	  	  	SPACE
iajs-2508	57	18	54	54	NUM
iajs-2508	57	19	  	  	SPACE
iajs-2508	57	20	ibn	ibn	PROPN
iajs-2508	57	21	al	al	PROPN
iajs-2508	57	22	-	-	PUNCT
iajs-2508	57	23	haitham	haitham	PROPN
iajs-2508	57	24	jour	jour	X
iajs-2508	57	25	.	.	PROPN
iajs-2508	58	1	for	for	ADP
iajs-2508	58	2	pure	pure	ADJ
iajs-2508	58	3	&	&	CCONJ
iajs-2508	58	4	appl	appl	PROPN
iajs-2508	58	5	.	.	PUNCT
iajs-2508	59	1	sci	sci	PROPN
iajs-2508	59	2	.	.	PROPN
iajs-2508	60	1	33	33	NUM
iajs-2508	60	2	(	(	PUNCT
iajs-2508	60	3	4	4	NUM
iajs-2508	60	4	)	)	PUNCT
iajs-2508	60	5	2020	2020	NUM
iajs-2508	60	6	substitute	substitute	NOUN
iajs-2508	60	7	equation	equation	NOUN
iajs-2508	60	8	(	(	PUNCT
iajs-2508	60	9	11	11	NUM
iajs-2508	60	10	)	)	PUNCT
iajs-2508	60	11	and	and	CCONJ
iajs-2508	60	12	(	(	PUNCT
iajs-2508	60	13	12	12	NUM
iajs-2508	60	14	)	)	PUNCT
iajs-2508	60	15	in	in	ADP
iajs-2508	60	16	equation	equation	NOUN
iajs-2508	60	17	(	(	PUNCT
iajs-2508	60	18	3	3	NUM
iajs-2508	60	19	)	)	PUNCT
iajs-2508	60	20	to	to	PART
iajs-2508	60	21	obtain	obtain	VERB
iajs-2508	60	22	the	the	DET
iajs-2508	60	23	shrinkage	shrinkage	NOUN
iajs-2508	60	24	estimation	estimation	NOUN
iajs-2508	60	25	of	of	ADP
iajs-2508	60	26	r(s	r(s	PROPN
iajs-2508	60	27	,	,	PUNCT
iajs-2508	60	28	k	k	NOUN
iajs-2508	60	29	)	)	PUNCT
iajs-2508	60	30	using	use	VERB
iajs-2508	60	31	the	the	DET
iajs-2508	60	32	above	above	ADJ
iajs-2508	60	33	constant	constant	ADJ
iajs-2508	60	34	shrinkage	shrinkage	NOUN
iajs-2508	60	35	weight	weight	NOUN
iajs-2508	60	36	factor	factor	NOUN
iajs-2508	60	37	as	as	ADP
iajs-2508	60	38	below	below	ADV
iajs-2508	60	39	:	:	PUNCT
iajs-2508	60	40	𝑅	𝑅	NOUN
iajs-2508	60	41	,	,	PUNCT
iajs-2508	60	42	∑	∑	PROPN
iajs-2508	60	43	!	!	PUNCT
iajs-2508	60	44	!	!	PUNCT
iajs-2508	61	1	∏	∏	PROPN
iajs-2508	62	1	𝑘	𝑘	PRON
iajs-2508	62	2	𝑗	𝑗	PROPN
iajs-2508	62	3	(	(	PUNCT
iajs-2508	62	4	13	13	NUM
iajs-2508	62	5	)	)	PUNCT
iajs-2508	62	6	where	where	SCONJ
iajs-2508	62	7	𝑘	𝑘	X
iajs-2508	62	8	,	,	PUNCT
iajs-2508	62	9	𝑖	𝑖	PRON
iajs-2508	62	10	,	,	PUNCT
iajs-2508	62	11	𝑗	𝑗	X
iajs-2508	62	12	are	be	AUX
iajs-2508	62	13	integers	integer	NOUN
iajs-2508	62	14	4.3	4.3	NUM
iajs-2508	62	15	.	.	PUNCT
iajs-2508	62	16	modified	modify	VERB
iajs-2508	62	17	thompson	thompson	PROPN
iajs-2508	62	18	type	type	NOUN
iajs-2508	62	19	shrinkage	shrinkage	NOUN
iajs-2508	62	20	weight	weight	NOUN
iajs-2508	62	21	factor	factor	NOUN
iajs-2508	62	22	(	(	PUNCT
iajs-2508	62	23	th	th	NUM
iajs-2508	62	24	):	):	PUNCT
iajs-2508	62	25	in	in	ADP
iajs-2508	62	26	this	this	DET
iajs-2508	62	27	paper	paper	NOUN
iajs-2508	62	28	,	,	PUNCT
iajs-2508	62	29	the	the	DET
iajs-2508	62	30	shrinkage	shrinkage	NOUN
iajs-2508	62	31	weight	weight	NOUN
iajs-2508	62	32	factor	factor	NOUN
iajs-2508	62	33	which	which	PRON
iajs-2508	62	34	was	be	AUX
iajs-2508	62	35	considered	consider	VERB
iajs-2508	62	36	by	by	ADP
iajs-2508	62	37	thompson	thompson	PROPN
iajs-2508	62	38	will	will	AUX
iajs-2508	62	39	be	be	AUX
iajs-2508	62	40	modified	modify	VERB
iajs-2508	62	41	to	to	PART
iajs-2508	62	42	give	give	VERB
iajs-2508	62	43	the	the	DET
iajs-2508	62	44	following	follow	VERB
iajs-2508	62	45	formulas	formula	NOUN
iajs-2508	62	46	:	:	PUNCT
iajs-2508	62	47	𝛾	𝛾	VERB
iajs-2508	62	48	𝛼	𝛼	X
iajs-2508	62	49	*	*	NOUN
iajs-2508	62	50	0.005	0.005	NUM
iajs-2508	62	51	(	(	PUNCT
iajs-2508	62	52	14	14	NUM
iajs-2508	62	53	)	)	PUNCT
iajs-2508	62	54	𝛾	𝛾	ADP
iajs-2508	62	55	𝛽	𝛽	NOUN
iajs-2508	62	56	∗	∗	NOUN
iajs-2508	62	57	0.005	0.005	NUM
iajs-2508	62	58	(	(	PUNCT
iajs-2508	62	59	15	15	NUM
iajs-2508	62	60	)	)	PUNCT
iajs-2508	62	61	therefore	therefore	ADV
iajs-2508	62	62	,	,	PUNCT
iajs-2508	62	63	the	the	DET
iajs-2508	62	64	shrinkage	shrinkage	NOUN
iajs-2508	62	65	estimator	estimator	NOUN
iajs-2508	62	66	of	of	ADP
iajs-2508	62	67	α	α	PROPN
iajs-2508	62	68	and	and	CCONJ
iajs-2508	62	69	β	β	NOUN
iajs-2508	62	70	using	use	VERB
iajs-2508	62	71	modified	modify	VERB
iajs-2508	62	72	shrinkage	shrinkage	NOUN
iajs-2508	62	73	weight	weight	NOUN
iajs-2508	62	74	factor	factor	NOUN
iajs-2508	62	75	are	be	AUX
iajs-2508	62	76	respectively	respectively	ADV
iajs-2508	62	77	as	as	ADP
iajs-2508	62	78	bellow	bellow	ADJ
iajs-2508	62	79	:	:	PUNCT
iajs-2508	62	80	𝛼	𝛼	PRON
iajs-2508	62	81	𝛾	𝛾	NOUN
iajs-2508	62	82	𝛼	𝛼	X
iajs-2508	62	83	𝛼	𝛼	PROPN
iajs-2508	62	84	1	1	NUM
iajs-2508	62	85	𝛾	𝛾	NOUN
iajs-2508	62	86	𝛼	𝛼	X
iajs-2508	62	87	𝛼	𝛼	NOUN
iajs-2508	62	88	(	(	PUNCT
iajs-2508	62	89	16	16	NUM
iajs-2508	62	90	)	)	PUNCT
iajs-2508	62	91	𝛽	𝛽	NOUN
iajs-2508	62	92	𝛾	𝛾	NOUN
iajs-2508	62	93	𝛽	𝛽	NOUN
iajs-2508	62	94	𝛽	𝛽	PROPN
iajs-2508	62	95	1	1	NUM
iajs-2508	62	96	𝛾	𝛾	NOUN
iajs-2508	62	97	𝛽	𝛽	NOUN
iajs-2508	62	98	𝛽	𝛽	PROPN
iajs-2508	62	99	(	(	PUNCT
iajs-2508	62	100	17	17	NUM
iajs-2508	62	101	)	)	PUNCT
iajs-2508	62	102	then	then	ADV
iajs-2508	62	103	the	the	DET
iajs-2508	62	104	shrinkage	shrinkage	NOUN
iajs-2508	62	105	estimation	estimation	NOUN
iajs-2508	62	106	of	of	ADP
iajs-2508	62	107	r(s	r(s	PROPN
iajs-2508	62	108	,	,	PUNCT
iajs-2508	62	109	k	k	NOUN
iajs-2508	62	110	)	)	PUNCT
iajs-2508	62	111	in	in	ADP
iajs-2508	62	112	equation	equation	NOUN
iajs-2508	62	113	(	(	PUNCT
iajs-2508	62	114	3	3	NUM
iajs-2508	62	115	)	)	PUNCT
iajs-2508	62	116	based	base	VERB
iajs-2508	62	117	on	on	ADP
iajs-2508	62	118	modified	modify	VERB
iajs-2508	62	119	thompson	thompson	NOUN
iajs-2508	62	120	type	type	NOUN
iajs-2508	62	121	shrinkage	shrinkage	NOUN
iajs-2508	62	122	weight	weight	NOUN
iajs-2508	62	123	factor	factor	NOUN
iajs-2508	62	124	will	will	AUX
iajs-2508	62	125	be	be	AUX
iajs-2508	62	126	:	:	PUNCT
iajs-2508	62	127	𝑅	𝑅	PROPN
iajs-2508	62	128	,	,	PUNCT
iajs-2508	62	129	∑	∑	PROPN
iajs-2508	62	130	!	!	PUNCT
iajs-2508	62	131	!	!	PUNCT
iajs-2508	63	1	∏	∏	PROPN
iajs-2508	64	1	𝑘	𝑘	PRON
iajs-2508	64	2	𝑗	𝑗	PROPN
iajs-2508	64	3	(	(	PUNCT
iajs-2508	64	4	18	18	NUM
iajs-2508	64	5	)	)	PUNCT
iajs-2508	64	6	now	now	ADV
iajs-2508	64	7	,	,	PUNCT
iajs-2508	64	8	we	we	PRON
iajs-2508	64	9	take	take	VERB
iajs-2508	64	10	some	some	DET
iajs-2508	64	11	special	special	ADJ
iajs-2508	64	12	case	case	NOUN
iajs-2508	64	13	for	for	ADP
iajs-2508	64	14	the	the	DET
iajs-2508	64	15	exponentiated	exponentiated	ADJ
iajs-2508	64	16	family	family	NOUN
iajs-2508	64	17	distribution	distribution	NOUN
iajs-2508	64	18	,	,	PUNCT
iajs-2508	64	19	by	by	ADP
iajs-2508	64	20	the	the	DET
iajs-2508	64	21	following	follow	VERB
iajs-2508	64	22	table	table	NOUN
iajs-2508	64	23	:	:	PUNCT
iajs-2508	65	1	table1	table1	PROPN
iajs-2508	65	2	.	.	PUNCT
iajs-2508	66	1	special	special	ADJ
iajs-2508	66	2	case	case	NOUN
iajs-2508	66	3	for	for	ADP
iajs-2508	66	4	the	the	DET
iajs-2508	66	5	exponentiated	exponentiated	ADJ
iajs-2508	66	6	family	family	NOUN
iajs-2508	66	7	distribution	distribution	NOUN
iajs-2508	66	8	by	by	ADP
iajs-2508	66	9	different	different	ADJ
iajs-2508	66	10	values	value	NOUN
iajs-2508	66	11	the	the	DET
iajs-2508	66	12	function	function	NOUN
iajs-2508	66	13	𝑔	𝑔	PROPN
iajs-2508	66	14	𝑥	𝑥	PROPN
iajs-2508	66	15	;	;	PUNCT
iajs-2508	66	16	𝑎	𝑎	X
iajs-2508	66	17	,	,	PUNCT
iajs-2508	66	18	𝜃	𝜃	NOUN
iajs-2508	66	19	exponentiated	exponentiate	VERB
iajs-2508	66	20	rayleigh	rayleigh	NOUN
iajs-2508	66	21	distribution	distribution	NOUN
iajs-2508	66	22	exponentiated	exponentiate	VERB
iajs-2508	66	23	pareto	pareto	ADJ
iajs-2508	66	24	distribution	distribution	NOUN
iajs-2508	66	25	exponentiated	exponentiate	VERB
iajs-2508	66	26	weibull	weibull	NOUN
iajs-2508	66	27	distribution	distribution	NOUN
iajs-2508	66	28	exponentiated	exponentiate	VERB
iajs-2508	66	29	lomax	lomax	PROPN
iajs-2508	66	30	distribution	distribution	NOUN
iajs-2508	66	31	exponentiated	exponentiate	VERB
iajs-2508	66	32	exponential	exponential	ADJ
iajs-2508	66	33	distribution	distribution	NOUN
iajs-2508	66	34	name	name	NOUN
iajs-2508	66	35	𝑔	𝑔	PROPN
iajs-2508	66	36	𝑥	𝑥	PROPN
iajs-2508	66	37	;	;	PUNCT
iajs-2508	66	38	𝑎	𝑎	X
iajs-2508	66	39	,	,	PUNCT
iajs-2508	66	40	𝜃	𝜃	NOUN
iajs-2508	66	41	𝑥	𝑥	PRON
iajs-2508	66	42	𝑔	𝑔	X
iajs-2508	66	43	𝑥	𝑥	X
iajs-2508	66	44	;	;	PUNCT
iajs-2508	66	45	𝑎	𝑎	X
iajs-2508	66	46	,	,	PUNCT
iajs-2508	66	47	𝜃	𝜃	NOUN
iajs-2508	66	48	ln	ln	NOUN
iajs-2508	66	49	1	1	NUM
iajs-2508	66	50	𝑥	𝑥	PRON
iajs-2508	66	51	𝑔	𝑔	X
iajs-2508	66	52	𝑥	𝑥	X
iajs-2508	66	53	;	;	PUNCT
iajs-2508	66	54	𝑎	𝑎	X
iajs-2508	66	55	,	,	PUNCT
iajs-2508	66	56	𝜃	𝜃	NOUN
iajs-2508	66	57	𝑥	𝑥	PRON
iajs-2508	66	58	𝑔	𝑔	X
iajs-2508	66	59	𝑥	𝑥	X
iajs-2508	66	60	;	;	PUNCT
iajs-2508	66	61	𝑎	𝑎	X
iajs-2508	66	62	,	,	PUNCT
iajs-2508	66	63	𝜃	𝜃	NOUN
iajs-2508	66	64	ln	ln	ADJ
iajs-2508	66	65	1	1	NUM
iajs-2508	66	66	θ𝑥	θ𝑥	ADP
iajs-2508	66	67	𝑔	𝑔	PROPN
iajs-2508	66	68	𝑥	𝑥	PROPN
iajs-2508	66	69	;	;	PUNCT
iajs-2508	66	70	𝑎	𝑎	X
iajs-2508	66	71	,	,	PUNCT
iajs-2508	66	72	𝜃	𝜃	NOUN
iajs-2508	66	73	𝑥	𝑥	PRON
iajs-2508	66	74	value	value	NOUN
iajs-2508	66	75	𝑔	𝑔	PROPN
iajs-2508	66	76	𝑥	𝑥	NOUN
iajs-2508	66	77	;	;	PUNCT
iajs-2508	66	78	𝑎	𝑎	X
iajs-2508	66	79	,	,	PUNCT
iajs-2508	66	80	𝜃	𝜃	NOUN
iajs-2508	66	81	5	5	NUM
iajs-2508	66	82	.	.	PUNCT
iajs-2508	66	83	simulation	simulation	NOUN
iajs-2508	66	84	experiments	experiment	NOUN
iajs-2508	66	85	in	in	ADP
iajs-2508	66	86	this	this	DET
iajs-2508	66	87	section	section	NOUN
iajs-2508	66	88	,	,	PUNCT
iajs-2508	66	89	numerical	numerical	ADJ
iajs-2508	66	90	results	result	NOUN
iajs-2508	66	91	were	be	AUX
iajs-2508	66	92	studied	study	VERB
iajs-2508	66	93	to	to	PART
iajs-2508	66	94	compare	compare	VERB
iajs-2508	66	95	the	the	DET
iajs-2508	66	96	performance	performance	NOUN
iajs-2508	66	97	of	of	ADP
iajs-2508	66	98	the	the	DET
iajs-2508	66	99	different	different	ADJ
iajs-2508	66	100	estimators	estimator	NOUN
iajs-2508	66	101	of	of	ADP
iajs-2508	66	102	reliability	reliability	NOUN
iajs-2508	66	103	using	use	VERB
iajs-2508	66	104	different	different	ADJ
iajs-2508	66	105	sample	sample	NOUN
iajs-2508	66	106	size	size	NOUN
iajs-2508	66	107	=	=	PUNCT
iajs-2508	66	108	(	(	PUNCT
iajs-2508	66	109	10	10	NUM
iajs-2508	66	110	,	,	PUNCT
iajs-2508	66	111	30	30	NUM
iajs-2508	66	112	,	,	PUNCT
iajs-2508	66	113	50	50	NUM
iajs-2508	66	114	and	and	CCONJ
iajs-2508	66	115	100	100	NUM
iajs-2508	66	116	)	)	PUNCT
iajs-2508	66	117	,	,	PUNCT
iajs-2508	66	118	based	base	VERB
iajs-2508	66	119	on	on	ADP
iajs-2508	66	120	1000	1000	NUM
iajs-2508	66	121	replication	replication	NOUN
iajs-2508	66	122	via	via	ADP
iajs-2508	66	123	mse	mse	NOUN
iajs-2508	66	124	criteria	criterion	NOUN
iajs-2508	66	125	.	.	PUNCT
iajs-2508	67	1	for	for	ADP
iajs-2508	67	2	this	this	DET
iajs-2508	67	3	purpose	purpose	NOUN
iajs-2508	67	4	,	,	PUNCT
iajs-2508	67	5	monte	monte	PROPN
iajs-2508	67	6	carlo	carlo	PROPN
iajs-2508	67	7	simulation	simulation	PROPN
iajs-2508	67	8	was	be	AUX
iajs-2508	67	9	employed	employ	VERB
iajs-2508	67	10	by	by	ADP
iajs-2508	67	11	generating	generate	VERB
iajs-2508	67	12	the	the	DET
iajs-2508	67	13	random	random	ADJ
iajs-2508	67	14	sample	sample	NOUN
iajs-2508	67	15	from	from	ADP
iajs-2508	67	16	the	the	DET
iajs-2508	67	17	continuous	continuous	ADJ
iajs-2508	67	18	uniform	uniform	ADJ
iajs-2508	67	19	distribution	distribution	NOUN
iajs-2508	67	20	defined	define	VERB
iajs-2508	67	21	on	on	ADP
iajs-2508	67	22	the	the	DET
iajs-2508	67	23	interval	interval	NOUN
iajs-2508	67	24	  	  	SPACE
iajs-2508	67	25	55	55	NUM
iajs-2508	67	26	  	  	SPACE
iajs-2508	67	27	ibn	ibn	PROPN
iajs-2508	67	28	al	al	PROPN
iajs-2508	67	29	-	-	PUNCT
iajs-2508	67	30	haitham	haitham	PROPN
iajs-2508	67	31	jour	jour	X
iajs-2508	67	32	.	.	PROPN
iajs-2508	68	1	for	for	ADP
iajs-2508	68	2	pure	pure	ADJ
iajs-2508	68	3	&	&	CCONJ
iajs-2508	68	4	appl	appl	PROPN
iajs-2508	68	5	.	.	PUNCT
iajs-2508	69	1	sci	sci	PROPN
iajs-2508	69	2	.	.	PROPN
iajs-2508	70	1	33	33	NUM
iajs-2508	70	2	(	(	PUNCT
iajs-2508	70	3	4	4	NUM
iajs-2508	70	4	)	)	PUNCT
iajs-2508	70	5	2020	2020	NUM
iajs-2508	70	6	(	(	PUNCT
iajs-2508	70	7	0,1	0,1	NUM
iajs-2508	70	8	)	)	PUNCT
iajs-2508	70	9	as	as	ADP
iajs-2508	70	10	u1,u2	u1,u2	PROPN
iajs-2508	70	11	,	,	PUNCT
iajs-2508	70	12	…	…	PUNCT
iajs-2508	70	13	,	,	PUNCT
iajs-2508	70	14	un	un	PROPN
iajs-2508	70	15	;	;	PUNCT
iajs-2508	70	16	v1	v1	NOUN
iajs-2508	70	17	,	,	PUNCT
iajs-2508	70	18	v2	v2	PROPN
iajs-2508	70	19	,	,	PUNCT
iajs-2508	70	20	…	…	PUNCT
iajs-2508	70	21	,	,	PUNCT
iajs-2508	70	22	vm	vm	PROPN
iajs-2508	70	23	.	.	PROPN
iajs-2508	70	24	transform	transform	VERB
iajs-2508	70	25	uniform	uniform	ADJ
iajs-2508	70	26	random	random	ADJ
iajs-2508	70	27	samples	sample	NOUN
iajs-2508	70	28	to	to	PART
iajs-2508	70	29	follow	follow	VERB
iajs-2508	70	30	some	some	DET
iajs-2508	70	31	distributions	distribution	NOUN
iajs-2508	70	32	special	special	ADJ
iajs-2508	70	33	case	case	NOUN
iajs-2508	70	34	of	of	ADP
iajs-2508	70	35	the	the	DET
iajs-2508	70	36	family	family	NOUN
iajs-2508	70	37	of	of	ADP
iajs-2508	70	38	exponentiated	exponentiated	ADJ
iajs-2508	70	39	distribution	distribution	NOUN
iajs-2508	70	40	using	use	VERB
iajs-2508	70	41	(	(	PUNCT
iajs-2508	70	42	c.	c.	PROPN
iajs-2508	70	43	d.	d.	PROPN
iajs-2508	70	44	f.),[11	f.),[11	PROPN
iajs-2508	70	45	]	]	PUNCT
iajs-2508	70	46	.	.	PUNCT
iajs-2508	71	1	the	the	DET
iajs-2508	71	2	following	follow	VERB
iajs-2508	71	3	steps	step	NOUN
iajs-2508	71	4	compute	compute	VERB
iajs-2508	71	5	the	the	DET
iajs-2508	71	6	real	real	ADJ
iajs-2508	71	7	value	value	NOUN
iajs-2508	71	8	of	of	ADP
iajs-2508	71	9	r(s	r(s	PROPN
iajs-2508	71	10	,	,	PUNCT
iajs-2508	71	11	k	k	NOUN
iajs-2508	71	12	)	)	PUNCT
iajs-2508	71	13	in	in	ADP
iajs-2508	71	14	equation	equation	NOUN
iajs-2508	71	15	(	(	PUNCT
iajs-2508	71	16	3	3	NUM
iajs-2508	71	17	)	)	PUNCT
iajs-2508	71	18	and	and	CCONJ
iajs-2508	71	19	the	the	DET
iajs-2508	71	20	value	value	NOUN
iajs-2508	71	21	of	of	ADP
iajs-2508	71	22	estimation	estimation	NOUN
iajs-2508	71	23	methods	method	NOUN
iajs-2508	71	24	of	of	ADP
iajs-2508	71	25	all	all	DET
iajs-2508	71	26	the	the	DET
iajs-2508	71	27	proposal	proposal	NOUN
iajs-2508	71	28	methods	method	NOUN
iajs-2508	71	29	𝑅	𝑅	PROPN
iajs-2508	71	30	,	,	PUNCT
iajs-2508	71	31	,	,	PUNCT
iajs-2508	71	32	𝑅	𝑅	PROPN
iajs-2508	71	33	,	,	PUNCT
iajs-2508	71	34	,	,	PUNCT
iajs-2508	71	35	𝑅	𝑅	PROPN
iajs-2508	71	36	,	,	PUNCT
iajs-2508	71	37	and	and	CCONJ
iajs-2508	71	38	𝑅	𝑅	PROPN
iajs-2508	71	39	,	,	PUNCT
iajs-2508	71	40	in	in	ADP
iajs-2508	71	41	equations	equation	NOUN
iajs-2508	71	42	(	(	PUNCT
iajs-2508	71	43	6	6	NUM
iajs-2508	71	44	)	)	PUNCT
iajs-2508	71	45	,	,	PUNCT
iajs-2508	71	46	(	(	PUNCT
iajs-2508	71	47	10	10	NUM
iajs-2508	71	48	)	)	PUNCT
iajs-2508	71	49	,	,	PUNCT
iajs-2508	71	50	(	(	PUNCT
iajs-2508	71	51	13	13	NUM
iajs-2508	71	52	)	)	PUNCT
iajs-2508	71	53	and	and	CCONJ
iajs-2508	71	54	(	(	PUNCT
iajs-2508	71	55	18	18	NUM
iajs-2508	71	56	)	)	PUNCT
iajs-2508	71	57	respectively	respectively	ADV
iajs-2508	71	58	.	.	PUNCT
iajs-2508	72	1	based	base	VERB
iajs-2508	72	2	on	on	ADP
iajs-2508	72	3	(	(	PUNCT
iajs-2508	72	4	l=1000	l=1000	NOUN
iajs-2508	72	5	)	)	PUNCT
iajs-2508	72	6	replication	replication	NOUN
iajs-2508	72	7	,	,	PUNCT
iajs-2508	72	8	we	we	PRON
iajs-2508	72	9	calculate	calculate	VERB
iajs-2508	72	10	the	the	DET
iajs-2508	72	11	mse	mse	NOUN
iajs-2508	72	12	for	for	ADP
iajs-2508	72	13	all	all	DET
iajs-2508	72	14	proposed	propose	VERB
iajs-2508	72	15	estimation	estimation	NOUN
iajs-2508	72	16	methods	method	NOUN
iajs-2508	72	17	of	of	ADP
iajs-2508	72	18	𝑅(s	𝑅(s	ADJ
iajs-2508	72	19	,	,	PUNCT
iajs-2508	72	20	k	k	NOUN
iajs-2508	72	21	)	)	PUNCT
iajs-2508	72	22	as	as	SCONJ
iajs-2508	72	23	follows	follow	VERB
iajs-2508	72	24	:	:	PUNCT
iajs-2508	72	25	mse	mse	PROPN
iajs-2508	72	26	∑	∑	PROPN
iajs-2508	72	27	𝑅	𝑅	PROPN
iajs-2508	72	28	,	,	PUNCT
iajs-2508	72	29	r	r	NOUN
iajs-2508	72	30	,	,	PUNCT
iajs-2508	72	31	suppose	suppose	VERB
iajs-2508	72	32	the	the	DET
iajs-2508	72	33	reliability	reliability	NOUN
iajs-2508	72	34	system	system	NOUN
iajs-2508	72	35	of	of	ADP
iajs-2508	72	36	multicomponent	multicomponent	NOUN
iajs-2508	72	37	stressstrength	stressstrength	NOUN
iajs-2508	72	38	model	model	NOUN
iajs-2508	72	39	for	for	ADP
iajs-2508	72	40	some	some	DET
iajs-2508	72	41	distributions	distribution	NOUN
iajs-2508	72	42	as	as	ADP
iajs-2508	72	43	the	the	DET
iajs-2508	72	44	following	following	NOUN
iajs-2508	72	45	:	:	PUNCT
iajs-2508	73	1	table2	table2	PROPN
iajs-2508	73	2	.	.	PUNCT
iajs-2508	74	1	the	the	DET
iajs-2508	74	2	symbol	symbol	NOUN
iajs-2508	74	3	of	of	ADP
iajs-2508	74	4	the	the	DET
iajs-2508	74	5	reliability	reliability	NOUN
iajs-2508	74	6	system	system	NOUN
iajs-2508	74	7	of	of	ADP
iajs-2508	74	8	multicomponent	multicomponent	NOUN
iajs-2508	74	9	stressstrength	stressstrength	NOUN
iajs-2508	74	10	model	model	NOUN
iajs-2508	74	11	for	for	ADP
iajs-2508	74	12	special	special	ADJ
iajs-2508	74	13	case	case	NOUN
iajs-2508	74	14	of	of	ADP
iajs-2508	74	15	exponentiated	exponentiated	ADJ
iajs-2508	74	16	family	family	NOUN
iajs-2508	74	17	distribution	distribution	NOUN
iajs-2508	74	18	.	.	PUNCT
iajs-2508	75	1	distributions	distribution	NOUN
iajs-2508	75	2	exponentiated	exponentiate	VERB
iajs-2508	75	3	exponential	exponential	ADJ
iajs-2508	75	4	distribution	distribution	NOUN
iajs-2508	75	5	exponentiated	exponentiate	VERB
iajs-2508	75	6	lomax	lomax	PROPN
iajs-2508	75	7	distribution	distribution	NOUN
iajs-2508	75	8	exponentiated	exponentiate	VERB
iajs-2508	75	9	weibull	weibull	NOUN
iajs-2508	75	10	distribution	distribution	NOUN
iajs-2508	75	11	exponentiated	exponentiate	VERB
iajs-2508	75	12	pareto	pareto	ADJ
iajs-2508	75	13	distribution	distribution	NOUN
iajs-2508	75	14	exponentiated	exponentiate	VERB
iajs-2508	75	15	rayleigh	rayleigh	ADJ
iajs-2508	75	16	distribution	distribution	NOUN
iajs-2508	75	17	symbol	symbol	NOUN
iajs-2508	75	18	r1	r1	PROPN
iajs-2508	75	19	,	,	PUNCT
iajs-2508	75	20	r2	r2	PROPN
iajs-2508	75	21	,	,	PUNCT
iajs-2508	75	22	r3	r3	PROPN
iajs-2508	75	23	,	,	PUNCT
iajs-2508	75	24	r4	r4	NOUN
iajs-2508	75	25	,	,	PUNCT
iajs-2508	75	26	r5	r5	PROPN
iajs-2508	75	27	,	,	PUNCT
iajs-2508	75	28	now	now	ADV
iajs-2508	75	29	,	,	PUNCT
iajs-2508	75	30	we	we	PRON
iajs-2508	75	31	use	use	VERB
iajs-2508	75	32	some	some	DET
iajs-2508	75	33	special	special	ADJ
iajs-2508	75	34	case	case	NOUN
iajs-2508	75	35	of	of	ADP
iajs-2508	75	36	exponentiated	exponentiated	ADJ
iajs-2508	75	37	family	family	NOUN
iajs-2508	75	38	distribution	distribution	NOUN
iajs-2508	75	39	and	and	CCONJ
iajs-2508	75	40	applied	apply	VERB
iajs-2508	75	41	the	the	DET
iajs-2508	75	42	simulation	simulation	NOUN
iajs-2508	75	43	to	to	PART
iajs-2508	75	44	find	find	VERB
iajs-2508	75	45	the	the	DET
iajs-2508	75	46	value	value	NOUN
iajs-2508	75	47	of	of	ADP
iajs-2508	75	48	the	the	DET
iajs-2508	75	49	reliability	reliability	NOUN
iajs-2508	75	50	and	and	CCONJ
iajs-2508	75	51	mse	mse	NOUN
iajs-2508	75	52	to	to	PART
iajs-2508	75	53	compare	compare	VERB
iajs-2508	75	54	with	with	ADP
iajs-2508	75	55	the	the	DET
iajs-2508	75	56	other	other	ADJ
iajs-2508	75	57	methods	method	NOUN
iajs-2508	75	58	.	.	PUNCT
iajs-2508	76	1	table	table	NOUN
iajs-2508	76	2	3	3	NUM
iajs-2508	76	3	.	.	PUNCT
iajs-2508	77	1	values	value	NOUN
iajs-2508	77	2	of	of	ADP
iajs-2508	77	3	the	the	DET
iajs-2508	77	4	r1	r1	NOUN
iajs-2508	77	5	,	,	PUNCT
iajs-2508	77	6	for	for	ADP
iajs-2508	77	7	exponentiated	exponentiate	VERB
iajs-2508	77	8	exponential	exponential	ADJ
iajs-2508	77	9	distribution	distribution	NOUN
iajs-2508	77	10	whenr1	whenr1	NOUN
iajs-2508	77	11	,	,	PUNCT
iajs-2508	77	12	0.48485	0.48485	NUM
iajs-2508	77	13	,	,	PUNCT
iajs-2508	77	14	s=2	s=2	NOUN
iajs-2508	77	15	,	,	PUNCT
iajs-2508	77	16	k=4	k=4	PROPN
iajs-2508	77	17	and	and	CCONJ
iajs-2508	77	18	λ=2	λ=2	X
iajs-2508	77	19	(	(	PUNCT
iajs-2508	77	20	n	n	X
iajs-2508	77	21	,	,	PUNCT
iajs-2508	77	22	m	m	NOUN
iajs-2508	77	23	)	)	PUNCT
iajs-2508	77	24	𝑅1	𝑅1	PROPN
iajs-2508	77	25	,	,	PUNCT
iajs-2508	77	26	𝑅1	𝑅1	PROPN
iajs-2508	77	27	,	,	PUNCT
iajs-2508	77	28	𝒔𝒉𝟏	𝒔𝒉𝟏	X
iajs-2508	77	29	𝑹1	𝑹1	VERB
iajs-2508	77	30	𝒔,𝒌	𝒔,𝒌	INTJ
iajs-2508	77	31	𝒔𝒉𝟐	𝒔𝒉𝟐	ADV
iajs-2508	77	32	𝑹1	𝑹1	VERB
iajs-2508	77	33	𝒔,𝒌	𝒔,𝒌	INTJ
iajs-2508	78	1	𝑻𝒉	𝑻𝒉	INTJ
iajs-2508	78	2	(	(	PUNCT
iajs-2508	78	3	10,10	10,10	NUM
iajs-2508	78	4	)	)	PUNCT
iajs-2508	78	5	0.48236	0.48236	NUM
iajs-2508	78	6	0.48489	0.48489	NUM
iajs-2508	78	7	0.48495	0.48495	NUM
iajs-2508	78	8	0.48491	0.48491	NUM
iajs-2508	78	9	(	(	PUNCT
iajs-2508	78	10	30,30	30,30	NUM
iajs-2508	78	11	)	)	PUNCT
iajs-2508	78	12	0.48504	0.48504	NUM
iajs-2508	78	13	0.48489	0.48489	NUM
iajs-2508	78	14	0.48494	0.48494	NUM
iajs-2508	78	15	0.48490	0.48490	NUM
iajs-2508	78	16	(	(	PUNCT
iajs-2508	78	17	50,50	50,50	NUM
iajs-2508	78	18	)	)	PUNCT
iajs-2508	78	19	0.48455	0.48455	NUM
iajs-2508	78	20	0.48489	0.48489	NUM
iajs-2508	78	21	0.48491	0.48491	NUM
iajs-2508	78	22	0.48489	0.48489	NUM
iajs-2508	78	23	(	(	PUNCT
iajs-2508	78	24	100,100	100,100	NUM
iajs-2508	78	25	)	)	PUNCT
iajs-2508	78	26	0.48634	0.48634	NUM
iajs-2508	79	1	0.484897	0.484897	NUM
iajs-2508	79	2	0.48498	0.48498	NUM
iajs-2508	79	3	0.48490	0.48490	NUM
iajs-2508	79	4	table	table	NOUN
iajs-2508	79	5	4	4	NUM
iajs-2508	79	6	.	.	PUNCT
iajs-2508	80	1	values	value	NOUN
iajs-2508	80	2	of	of	ADP
iajs-2508	80	3	mse	mse	PROPN
iajs-2508	80	4	the	the	DET
iajs-2508	80	5	r1	r1	PROPN
iajs-2508	80	6	,	,	PUNCT
iajs-2508	80	7	for	for	ADP
iajs-2508	80	8	exponentiated	exponentiate	VERB
iajs-2508	80	9	exponential	exponential	ADJ
iajs-2508	80	10	distribution	distribution	NOUN
iajs-2508	80	11	when	when	SCONJ
iajs-2508	80	12	r1	r1	PROPN
iajs-2508	80	13	,	,	PUNCT
iajs-2508	80	14	0.48485	0.48485	NUM
iajs-2508	80	15	,	,	PUNCT
iajs-2508	80	16	s=2	s=2	NOUN
iajs-2508	80	17	,	,	PUNCT
iajs-2508	80	18	k=4	k=4	PROPN
iajs-2508	80	19	and	and	CCONJ
iajs-2508	80	20	λ=2	λ=2	X
iajs-2508	80	21	(	(	PUNCT
iajs-2508	80	22	n	n	X
iajs-2508	80	23	,	,	PUNCT
iajs-2508	80	24	m	m	NOUN
iajs-2508	80	25	)	)	PUNCT
iajs-2508	80	26	𝑅1	𝑅1	PROPN
iajs-2508	80	27	,	,	PUNCT
iajs-2508	80	28	𝑅1	𝑅1	PROPN
iajs-2508	80	29	,	,	PUNCT
iajs-2508	80	30	𝒔𝒉𝟏	𝒔𝒉𝟏	X
iajs-2508	80	31	𝑹1	𝑹1	VERB
iajs-2508	80	32	𝒔,𝒌	𝒔,𝒌	INTJ
iajs-2508	80	33	𝒔𝒉𝟐	𝒔𝒉𝟐	ADV
iajs-2508	80	34	𝑹1	𝑹1	VERB
iajs-2508	80	35	𝒔,𝒌	𝒔,𝒌	INTJ
iajs-2508	81	1	𝑻𝒉	𝑻𝒉	INTJ
iajs-2508	81	2	(	(	PUNCT
iajs-2508	81	3	10,10	10,10	NUM
iajs-2508	81	4	)	)	PUNCT
iajs-2508	81	5	0.01521	0.01521	NUM
iajs-2508	81	6	0.239e-8	0.239e-8	NUM
iajs-2508	81	7	0.494e-4	0.494e-4	ADP
iajs-2508	81	8	0.202e-6	0.202e-6	PROPN
iajs-2508	81	9	(	(	PUNCT
iajs-2508	81	10	30,30	30,30	NUM
iajs-2508	81	11	)	)	PUNCT
iajs-2508	81	12	0.00576	0.00576	NUM
iajs-2508	81	13	0.239e-8	0.239e-8	NUM
iajs-2508	81	14	0.159e-4	0.159e-4	NUM
iajs-2508	81	15	0.777e-7	0.777e-7	NUM
iajs-2508	81	16	(	(	PUNCT
iajs-2508	81	17	50,50	50,50	NUM
iajs-2508	81	18	)	)	PUNCT
iajs-2508	81	19	0.00349	0.00349	NUM
iajs-2508	81	20	0.239e-8	0.239e-8	NUM
iajs-2508	81	21	0.916e-5	0.916e-5	NUM
iajs-2508	81	22	0.442e-7	0.442e-7	NUM
iajs-2508	81	23	(	(	PUNCT
iajs-2508	81	24	100,100	100,100	NUM
iajs-2508	81	25	)	)	PUNCT
iajs-2508	81	26	0.00165	0.00165	NUM
iajs-2508	81	27	0.239e-8	0.239e-8	NUM
iajs-2508	81	28	0.421e-5	0.421e-5	NUM
iajs-2508	81	29	0.217e-7	0.217e-7	NUM
iajs-2508	81	30	table	table	NOUN
iajs-2508	81	31	5	5	NUM
iajs-2508	81	32	.	.	PUNCT
iajs-2508	81	33	values	value	NOUN
iajs-2508	81	34	of	of	ADP
iajs-2508	81	35	the	the	DET
iajs-2508	81	36	r2	r2	NOUN
iajs-2508	81	37	,	,	PUNCT
iajs-2508	81	38	for	for	ADP
iajs-2508	81	39	exponentiated	exponentiated	ADJ
iajs-2508	81	40	lomax	lomax	PROPN
iajs-2508	81	41	distribution	distribution	NOUN
iajs-2508	81	42	when	when	SCONJ
iajs-2508	81	43	r2	r2	PROPN
iajs-2508	81	44	,	,	PUNCT
iajs-2508	81	45	0.48485	0.48485	NUM
iajs-2508	81	46	,	,	PUNCT
iajs-2508	81	47	s=2	s=2	NOUN
iajs-2508	81	48	,	,	PUNCT
iajs-2508	81	49	k=4	k=4	PROPN
iajs-2508	81	50	,	,	PUNCT
iajs-2508	81	51	λ=2	λ=2	X
iajs-2508	81	52	and	and	CCONJ
iajs-2508	81	53	θ=3	θ=3	X
iajs-2508	81	54	.	.	PUNCT
iajs-2508	81	55	(	(	PUNCT
iajs-2508	81	56	n	n	CCONJ
iajs-2508	81	57	,	,	PUNCT
iajs-2508	81	58	m	m	NOUN
iajs-2508	81	59	)	)	PUNCT
iajs-2508	81	60	𝑅2	𝑅2	NOUN
iajs-2508	81	61	,	,	PUNCT
iajs-2508	81	62	𝑅2	𝑅2	NOUN
iajs-2508	81	63	,	,	PUNCT
iajs-2508	81	64	𝒔𝒉𝟏	𝒔𝒉𝟏	PROPN
iajs-2508	81	65	𝑹2	𝑹2	PROPN
iajs-2508	81	66	𝒔,𝒌	𝒔,𝒌	INTJ
iajs-2508	81	67	𝒔𝒉𝟐	𝒔𝒉𝟐	PROPN
iajs-2508	81	68	𝑹2	𝑹2	PROPN
iajs-2508	82	1	𝒔,𝒌	𝒔,𝒌	VERB
iajs-2508	83	1	𝑻𝒉	𝑻𝒉	INTJ
iajs-2508	83	2	(	(	PUNCT
iajs-2508	83	3	10,10	10,10	NUM
iajs-2508	83	4	)	)	PUNCT
iajs-2508	83	5	0.74265	0.74265	NUM
iajs-2508	83	6	0.48489	0.48489	NUM
iajs-2508	83	7	0.50888	0.50888	NUM
iajs-2508	83	8	0.48744	0.48744	NUM
iajs-2508	83	9	(	(	PUNCT
iajs-2508	83	10	30,30	30,30	NUM
iajs-2508	83	11	)	)	PUNCT
iajs-2508	83	12	0.78786	0.78786	NUM
iajs-2508	83	13	0.48489	0.48489	NUM
iajs-2508	83	14	0.50176	0.50176	NUM
iajs-2508	83	15	0.48651	0.48651	NUM
iajs-2508	83	16	(	(	PUNCT
iajs-2508	83	17	50,50	50,50	NUM
iajs-2508	83	18	)	)	PUNCT
iajs-2508	84	1	0.78828	0.78828	NUM
iajs-2508	84	2	0.48489	0.48489	NUM
iajs-2508	84	3	0.49980	0.49980	NUM
iajs-2508	84	4	0.48633	0.48633	NUM
iajs-2508	84	5	(	(	PUNCT
iajs-2508	84	6	100,100	100,100	NUM
iajs-2508	84	7	)	)	PUNCT
iajs-2508	84	8	0.78964	0.78964	NUM
iajs-2508	84	9	0.48489	0.48489	NUM
iajs-2508	84	10	0.49862	0.49862	NUM
iajs-2508	84	11	0.48622	0.48622	NUM
iajs-2508	84	12	  	  	SPACE
iajs-2508	84	13	56	56	NUM
iajs-2508	84	14	  	  	SPACE
iajs-2508	84	15	ibn	ibn	PROPN
iajs-2508	84	16	al	al	PROPN
iajs-2508	84	17	-	-	PUNCT
iajs-2508	84	18	haitham	haitham	PROPN
iajs-2508	84	19	jour	jour	X
iajs-2508	84	20	.	.	PROPN
iajs-2508	85	1	for	for	ADP
iajs-2508	85	2	pure	pure	ADJ
iajs-2508	85	3	&	&	CCONJ
iajs-2508	85	4	appl	appl	PROPN
iajs-2508	85	5	.	.	PUNCT
iajs-2508	86	1	sci	sci	PROPN
iajs-2508	86	2	.	.	PROPN
iajs-2508	87	1	33	33	NUM
iajs-2508	87	2	(	(	PUNCT
iajs-2508	87	3	4	4	NUM
iajs-2508	87	4	)	)	PUNCT
iajs-2508	87	5	2020	2020	NUM
iajs-2508	87	6	table	table	NOUN
iajs-2508	87	7	6	6	NUM
iajs-2508	87	8	.	.	PUNCT
iajs-2508	88	1	values	value	NOUN
iajs-2508	88	2	of	of	ADP
iajs-2508	88	3	the	the	DET
iajs-2508	88	4	mse	mse	NOUN
iajs-2508	88	5	r2	r2	PROPN
iajs-2508	88	6	,	,	PUNCT
iajs-2508	88	7	for	for	ADP
iajs-2508	88	8	exponentiated	exponentiated	ADJ
iajs-2508	88	9	lomax	lomax	PROPN
iajs-2508	88	10	distribution	distribution	NOUN
iajs-2508	89	1	when	when	SCONJ
iajs-2508	89	2	r2	r2	PROPN
iajs-2508	89	3	,	,	PUNCT
iajs-2508	89	4	0.48485	0.48485	NUM
iajs-2508	89	5	,	,	PUNCT
iajs-2508	89	6	s=2	s=2	NOUN
iajs-2508	89	7	,	,	PUNCT
iajs-2508	89	8	k=4	k=4	PROPN
iajs-2508	89	9	,	,	PUNCT
iajs-2508	89	10	λ=2	λ=2	PROPN
iajs-2508	89	11	and	and	CCONJ
iajs-2508	89	12	θ=3	θ=3	X
iajs-2508	89	13	.	.	PUNCT
iajs-2508	90	1	(	(	PUNCT
iajs-2508	90	2	n	n	CCONJ
iajs-2508	90	3	,	,	PUNCT
iajs-2508	90	4	m	m	NOUN
iajs-2508	90	5	)	)	PUNCT
iajs-2508	90	6	𝑅2	𝑅2	NOUN
iajs-2508	90	7	,	,	PUNCT
iajs-2508	90	8	𝑅2	𝑅2	NOUN
iajs-2508	90	9	,	,	PUNCT
iajs-2508	90	10	𝒔𝒉𝟏	𝒔𝒉𝟏	PROPN
iajs-2508	90	11	𝑹2	𝑹2	PROPN
iajs-2508	90	12	𝒔,𝒌	𝒔,𝒌	INTJ
iajs-2508	90	13	𝒔𝒉𝟐	𝒔𝒉𝟐	PROPN
iajs-2508	90	14	𝑹2	𝑹2	PROPN
iajs-2508	90	15	𝒔,𝒌	𝒔,𝒌	VERB
iajs-2508	91	1	𝑻𝒉	𝑻𝒉	INTJ
iajs-2508	91	2	(	(	PUNCT
iajs-2508	91	3	10,10	10,10	NUM
iajs-2508	91	4	)	)	PUNCT
iajs-2508	91	5	0.11060	0.11060	NUM
iajs-2508	91	6	0.247e-8	0.247e-8	NUM
iajs-2508	91	7	0.00242	0.00242	NUM
iajs-2508	91	8	0,549e-4	0,549e-4	NOUN
iajs-2508	91	9	(	(	PUNCT
iajs-2508	91	10	30,30	30,30	NUM
iajs-2508	91	11	)	)	PUNCT
iajs-2508	91	12	0.10323	0.10323	NUM
iajs-2508	91	13	0.239e-8	0.239e-8	NUM
iajs-2508	91	14	0.00048	0.00048	NUM
iajs-2508	91	15	0.506e-5	0.506e-5	SYM
iajs-2508	91	16	(	(	PUNCT
iajs-2508	91	17	50,50	50,50	NUM
iajs-2508	91	18	)	)	PUNCT
iajs-2508	91	19	0.09969	0.09969	NUM
iajs-2508	91	20	0.239e-8	0.239e-8	NUM
iajs-2508	91	21	0.00031	0.00031	NUM
iajs-2508	91	22	0	0	NUM
iajs-2508	91	23	.	.	PUNCT
iajs-2508	92	1	301e-5	301e-5	NUM
iajs-2508	92	2	(	(	PUNCT
iajs-2508	92	3	100,100	100,100	NUM
iajs-2508	92	4	)	)	PUNCT
iajs-2508	92	5	0.09657	0.09657	NUM
iajs-2508	92	6	0.239e-8	0.239e-8	NUM
iajs-2508	92	7	0.00022	0.00022	NUM
iajs-2508	92	8	0.219e-5	0.219e-5	SYM
iajs-2508	92	9	table	table	NOUN
iajs-2508	92	10	7	7	NUM
iajs-2508	92	11	.	.	PUNCT
iajs-2508	92	12	values	value	NOUN
iajs-2508	92	13	of	of	ADP
iajs-2508	92	14	the	the	DET
iajs-2508	92	15	r3	r3	PROPN
iajs-2508	92	16	,	,	PUNCT
iajs-2508	92	17	for	for	ADP
iajs-2508	92	18	exponentiated	exponentiate	VERB
iajs-2508	92	19	weibull	weibull	NOUN
iajs-2508	92	20	distribution	distribution	NOUN
iajs-2508	92	21	when	when	SCONJ
iajs-2508	92	22	r3	r3	PROPN
iajs-2508	92	23	,	,	PUNCT
iajs-2508	92	24	0.48485	0.48485	NUM
iajs-2508	92	25	,	,	PUNCT
iajs-2508	92	26	s=2	s=2	NOUN
iajs-2508	92	27	,	,	PUNCT
iajs-2508	92	28	k=4	k=4	PROPN
iajs-2508	92	29	,	,	PUNCT
iajs-2508	92	30	λ=2	λ=2	PROPN
iajs-2508	92	31	and	and	CCONJ
iajs-2508	92	32	θ=3	θ=3	X
iajs-2508	92	33	.	.	PUNCT
iajs-2508	92	34	(	(	PUNCT
iajs-2508	92	35	n	n	CCONJ
iajs-2508	92	36	,	,	PUNCT
iajs-2508	92	37	m	m	NOUN
iajs-2508	92	38	)	)	PUNCT
iajs-2508	92	39	𝑅3	𝑅3	PROPN
iajs-2508	92	40	,	,	PUNCT
iajs-2508	92	41	𝑅3	𝑅3	PROPN
iajs-2508	92	42	,	,	PUNCT
iajs-2508	92	43	𝒔𝒉𝟏	𝒔𝒉𝟏	AUX
iajs-2508	92	44	𝑹3	𝑹3	PROPN
iajs-2508	92	45	𝒔,𝒌	𝒔,𝒌	PROPN
iajs-2508	92	46	𝒔𝒉𝟐	𝒔𝒉𝟐	PROPN
iajs-2508	92	47	𝑹3	𝑹3	PROPN
iajs-2508	92	48	𝒔,𝒌	𝒔,𝒌	INTJ
iajs-2508	93	1	𝑻𝒉	𝑻𝒉	INTJ
iajs-2508	93	2	(	(	PUNCT
iajs-2508	93	3	10,10	10,10	NUM
iajs-2508	93	4	)	)	PUNCT
iajs-2508	93	5	0.45181	0.45181	NUM
iajs-2508	94	1	0.48489	0.48489	NUM
iajs-2508	94	2	0.48437	0.48437	NUM
iajs-2508	94	3	0.48484	0.48484	NUM
iajs-2508	94	4	(	(	PUNCT
iajs-2508	94	5	30,30	30,30	NUM
iajs-2508	94	6	)	)	PUNCT
iajs-2508	95	1	0.45505	0.45505	NUM
iajs-2508	95	2	0.48489	0.48489	NUM
iajs-2508	95	3	0.48451	0.48451	NUM
iajs-2508	95	4	0.48486	0.48486	NUM
iajs-2508	95	5	(	(	PUNCT
iajs-2508	95	6	50,50	50,50	NUM
iajs-2508	95	7	)	)	PUNCT
iajs-2508	95	8	0.45617	0.45617	NUM
iajs-2508	95	9	0.48489	0.48489	NUM
iajs-2508	95	10	0.48454	0.48454	NUM
iajs-2508	95	11	0.48486	0.48486	NUM
iajs-2508	95	12	(	(	PUNCT
iajs-2508	95	13	100,100	100,100	NUM
iajs-2508	95	14	)	)	PUNCT
iajs-2508	95	15	0.46025	0.46025	NUM
iajs-2508	95	16	0.48489	0.48489	NUM
iajs-2508	95	17	0.48459	0.48459	NUM
iajs-2508	95	18	0.48487	0.48487	NUM
iajs-2508	95	19	table	table	NOUN
iajs-2508	95	20	8	8	NUM
iajs-2508	95	21	.	.	PUNCT
iajs-2508	96	1	values	value	NOUN
iajs-2508	96	2	of	of	ADP
iajs-2508	96	3	the	the	DET
iajs-2508	96	4	mse	mse	PROPN
iajs-2508	96	5	r3	r3	PROPN
iajs-2508	96	6	,	,	PUNCT
iajs-2508	96	7	for	for	ADP
iajs-2508	96	8	exponentiated	exponentiate	VERB
iajs-2508	96	9	weibull	weibull	NOUN
iajs-2508	96	10	distribution	distribution	NOUN
iajs-2508	96	11	when	when	SCONJ
iajs-2508	96	12	r3	r3	PROPN
iajs-2508	96	13	,	,	PUNCT
iajs-2508	96	14	0.48485	0.48485	NUM
iajs-2508	96	15	,	,	PUNCT
iajs-2508	96	16	s=2	s=2	PROPN
iajs-2508	96	17	,	,	PUNCT
iajs-2508	96	18	k=4	k=4	PROPN
iajs-2508	96	19	,	,	PUNCT
iajs-2508	96	20	λ=2	λ=2	X
iajs-2508	96	21	and	and	CCONJ
iajs-2508	96	22	θ=3	θ=3	X
iajs-2508	96	23	.	.	PUNCT
iajs-2508	96	24	(	(	PUNCT
iajs-2508	96	25	n	n	CCONJ
iajs-2508	96	26	,	,	PUNCT
iajs-2508	96	27	m	m	NOUN
iajs-2508	96	28	)	)	PUNCT
iajs-2508	96	29	𝑅3	𝑅3	PROPN
iajs-2508	96	30	,	,	PUNCT
iajs-2508	96	31	𝑅3	𝑅3	PROPN
iajs-2508	96	32	,	,	PUNCT
iajs-2508	96	33	𝒔𝒉𝟏	𝒔𝒉𝟏	AUX
iajs-2508	96	34	𝑹3	𝑹3	PROPN
iajs-2508	96	35	𝒔,𝒌	𝒔,𝒌	PROPN
iajs-2508	96	36	𝒔𝒉𝟐	𝒔𝒉𝟐	PROPN
iajs-2508	96	37	𝑹3	𝑹3	PROPN
iajs-2508	96	38	𝒔,𝒌	𝒔,𝒌	INTJ
iajs-2508	97	1	𝑻𝒉	𝑻𝒉	INTJ
iajs-2508	97	2	(	(	PUNCT
iajs-2508	97	3	10,10	10,10	NUM
iajs-2508	97	4	)	)	PUNCT
iajs-2508	97	5	0.02444	0.02444	NUM
iajs-2508	97	6	0.239e-8	0.239e-8	NUM
iajs-2508	97	7	0.797e-5	0.797e-5	NUM
iajs-2508	97	8	0.847e-7	0.847e-7	X
iajs-2508	97	9	(	(	PUNCT
iajs-2508	97	10	30,30	30,30	NUM
iajs-2508	97	11	)	)	PUNCT
iajs-2508	97	12	0.00955	0.00955	NUM
iajs-2508	97	13	0.239e-8	0.239e-8	NUM
iajs-2508	97	14	0.164e-5	0.164e-5	SYM
iajs-2508	97	15	0.153e-7	0.153e-7	NUM
iajs-2508	97	16	(	(	PUNCT
iajs-2508	97	17	50,50	50,50	NUM
iajs-2508	97	18	)	)	PUNCT
iajs-2508	97	19	0.00596	0.00596	NUM
iajs-2508	97	20	0.239e-8	0.239e-8	SYM
iajs-2508	97	21	0.927e-6	0.927e-6	SYM
iajs-2508	97	22	0.820e-8	0.820e-8	NUM
iajs-2508	97	23	(	(	PUNCT
iajs-2508	97	24	100,100	100,100	NUM
iajs-2508	97	25	)	)	PUNCT
iajs-2508	97	26	0.00317	0.00317	NUM
iajs-2508	97	27	0.239e-8	0.239e-8	NUM
iajs-2508	97	28	0.448e-6	0.448e-6	NUM
iajs-2508	97	29	0.404e-8	0.404e-8	NUM
iajs-2508	97	30	table	table	NOUN
iajs-2508	97	31	9	9	NUM
iajs-2508	97	32	.	.	PUNCT
iajs-2508	97	33	values	value	NOUN
iajs-2508	97	34	of	of	ADP
iajs-2508	97	35	the	the	DET
iajs-2508	97	36	r4	r4	NOUN
iajs-2508	97	37	,	,	PUNCT
iajs-2508	97	38	for	for	ADP
iajs-2508	97	39	exponentiated	exponentiate	VERB
iajs-2508	97	40	pareto	pareto	ADJ
iajs-2508	97	41	distribution	distribution	NOUN
iajs-2508	97	42	when	when	SCONJ
iajs-2508	97	43	r4	r4	PROPN
iajs-2508	97	44	,	,	PUNCT
iajs-2508	97	45	0.48485	0.48485	NUM
iajs-2508	97	46	,	,	PUNCT
iajs-2508	97	47	s=2	s=2	NOUN
iajs-2508	97	48	,	,	PUNCT
iajs-2508	97	49	k=4	k=4	PROPN
iajs-2508	97	50	,	,	PUNCT
iajs-2508	97	51	and	and	CCONJ
iajs-2508	97	52	λ=2	λ=2	PROPN
iajs-2508	97	53	.	.	PUNCT
iajs-2508	98	1	(	(	PUNCT
iajs-2508	98	2	n	n	CCONJ
iajs-2508	98	3	,	,	PUNCT
iajs-2508	98	4	m	m	PROPN
iajs-2508	98	5	)	)	PUNCT
iajs-2508	98	6	𝑅4	𝑅4	ADV
iajs-2508	98	7	,	,	PUNCT
iajs-2508	98	8	𝑅4	𝑅4	PROPN
iajs-2508	98	9	,	,	PUNCT
iajs-2508	98	10	𝒔𝒉𝟏	𝒔𝒉𝟏	PROPN
iajs-2508	98	11	𝑹4	𝑹4	PROPN
iajs-2508	98	12	𝒔,𝒌	𝒔,𝒌	INTJ
iajs-2508	98	13	𝒔𝒉𝟐	𝒔𝒉𝟐	ADV
iajs-2508	98	14	𝑹4	𝑹4	VERB
iajs-2508	98	15	𝒔,𝒌	𝒔,𝒌	PUNCT
iajs-2508	99	1	𝑻𝒉	𝑻𝒉	INTJ
iajs-2508	99	2	(	(	PUNCT
iajs-2508	99	3	10,10	10,10	NUM
iajs-2508	99	4	)	)	PUNCT
iajs-2508	99	5	0.74995	0.74995	NUM
iajs-2508	99	6	0.48489	0.48489	NUM
iajs-2508	99	7	0.51295	0.51295	NUM
iajs-2508	99	8	0.48795	0.48795	NUM
iajs-2508	99	9	(	(	PUNCT
iajs-2508	99	10	30,30	30,30	NUM
iajs-2508	99	11	)	)	PUNCT
iajs-2508	99	12	0.78227	0.78227	NUM
iajs-2508	99	13	0.48489	0.48489	NUM
iajs-2508	99	14	0.50203	0.50203	NUM
iajs-2508	99	15	0.48654	0.48654	NUM
iajs-2508	99	16	(	(	PUNCT
iajs-2508	99	17	50,50	50,50	NUM
iajs-2508	99	18	)	)	PUNCT
iajs-2508	99	19	0.78877	0.78877	NUM
iajs-2508	99	20	0.48489	0.48489	NUM
iajs-2508	99	21	0.49994	0.49994	NUM
iajs-2508	99	22	0.48634	0.48634	NUM
iajs-2508	99	23	(	(	PUNCT
iajs-2508	99	24	100,100	100,100	NUM
iajs-2508	99	25	)	)	PUNCT
iajs-2508	99	26	0.78742	0.78742	NUM
iajs-2508	99	27	0.48489	0.48489	NUM
iajs-2508	99	28	0.49821	0.49821	NUM
iajs-2508	99	29	0.48618	0.48618	NUM
iajs-2508	99	30	table	table	NOUN
iajs-2508	99	31	10	10	NUM
iajs-2508	99	32	.	.	PUNCT
iajs-2508	100	1	values	value	NOUN
iajs-2508	100	2	of	of	ADP
iajs-2508	100	3	the	the	DET
iajs-2508	100	4	mse	mse	PROPN
iajs-2508	100	5	r4	r4	NOUN
iajs-2508	100	6	,	,	PUNCT
iajs-2508	100	7	for	for	ADP
iajs-2508	100	8	exponentiated	exponentiate	VERB
iajs-2508	100	9	pareto	pareto	ADJ
iajs-2508	100	10	distribution	distribution	NOUN
iajs-2508	100	11	when	when	SCONJ
iajs-2508	100	12	r4	r4	PROPN
iajs-2508	100	13	,	,	PUNCT
iajs-2508	100	14	0.48485	0.48485	NUM
iajs-2508	100	15	,	,	PUNCT
iajs-2508	100	16	s=2	s=2	PROPN
iajs-2508	100	17	,	,	PUNCT
iajs-2508	100	18	k=4	k=4	PROPN
iajs-2508	100	19	and	and	CCONJ
iajs-2508	100	20	λ=2	λ=2	X
iajs-2508	100	21	(	(	PUNCT
iajs-2508	100	22	n	n	X
iajs-2508	100	23	,	,	PUNCT
iajs-2508	100	24	m	m	PROPN
iajs-2508	100	25	)	)	PUNCT
iajs-2508	100	26	𝑅4	𝑅4	ADV
iajs-2508	100	27	,	,	PUNCT
iajs-2508	100	28	𝑅4	𝑅4	PROPN
iajs-2508	100	29	,	,	PUNCT
iajs-2508	100	30	𝒔𝒉𝟏	𝒔𝒉𝟏	PROPN
iajs-2508	100	31	𝑹4	𝑹4	PROPN
iajs-2508	100	32	𝒔,𝒌	𝒔,𝒌	INTJ
iajs-2508	100	33	𝒔𝒉𝟐	𝒔𝒉𝟐	ADV
iajs-2508	100	34	𝑹4	𝑹4	VERB
iajs-2508	100	35	𝒔,𝒌	𝒔,𝒌	PUNCT
iajs-2508	101	1	𝑻𝒉	𝑻𝒉	INTJ
iajs-2508	101	2	(	(	PUNCT
iajs-2508	101	3	10,10	10,10	NUM
iajs-2508	101	4	)	)	PUNCT
iajs-2508	101	5	0.11724	0.11724	NUM
iajs-2508	101	6	0.248e-8	0.248e-8	X
iajs-2508	101	7	0.00375	0.00375	NUM
iajs-2508	101	8	0.105e-3	0.105e-3	NUM
iajs-2508	101	9	(	(	PUNCT
iajs-2508	101	10	30,30	30,30	NUM
iajs-2508	101	11	)	)	PUNCT
iajs-2508	101	12	0.10319	0.10319	NUM
iajs-2508	101	13	0.239e-8	0.239e-8	NUM
iajs-2508	101	14	0.00050	0.00050	NUM
iajs-2508	101	15	0.507e-5	0.507e-5	PUNCT
iajs-2508	101	16	(	(	PUNCT
iajs-2508	101	17	50,50	50,50	NUM
iajs-2508	101	18	)	)	PUNCT
iajs-2508	101	19	0.09941	0.09941	NUM
iajs-2508	101	20	0.239e-8	0.239e-8	NUM
iajs-2508	101	21	0.00031	0.00031	NUM
iajs-2508	101	22	0.305e-5	0.305e-5	SYM
iajs-2508	101	23	(	(	PUNCT
iajs-2508	101	24	100,100	100,100	NUM
iajs-2508	101	25	)	)	PUNCT
iajs-2508	101	26	0.09519	0.09519	NUM
iajs-2508	101	27	0.239e-8	0.239e-8	NUM
iajs-2508	101	28	0.00021	0.00021	NUM
iajs-2508	101	29	0	0	NUM
iajs-2508	101	30	.	.	PUNCT
iajs-2508	102	1	203e-5	203e-5	NUM
iajs-2508	102	2	table	table	NOUN
iajs-2508	102	3	11	11	NUM
iajs-2508	102	4	.	.	PUNCT
iajs-2508	103	1	values	value	NOUN
iajs-2508	103	2	of	of	ADP
iajs-2508	103	3	the	the	DET
iajs-2508	103	4	r5	r5	PROPN
iajs-2508	103	5	,	,	PUNCT
iajs-2508	103	6	for	for	ADP
iajs-2508	103	7	exponentiated	exponentiate	VERB
iajs-2508	103	8	rayleigh	rayleigh	NOUN
iajs-2508	103	9	distribution	distribution	NOUN
iajs-2508	103	10	when	when	SCONJ
iajs-2508	103	11	r5	r5	PROPN
iajs-2508	103	12	,	,	PUNCT
iajs-2508	103	13	0.48485	0.48485	NUM
iajs-2508	103	14	,	,	PUNCT
iajs-2508	103	15	s=2	s=2	PROPN
iajs-2508	103	16	,	,	PUNCT
iajs-2508	103	17	k=4	k=4	PROPN
iajs-2508	103	18	and	and	CCONJ
iajs-2508	103	19	λ=2	λ=2	PROPN
iajs-2508	103	20	.	.	PUNCT
iajs-2508	103	21	(	(	PUNCT
iajs-2508	103	22	n	n	CCONJ
iajs-2508	103	23	,	,	PUNCT
iajs-2508	103	24	m	m	NOUN
iajs-2508	103	25	)	)	PUNCT
iajs-2508	103	26	𝑅5	𝑅5	PROPN
iajs-2508	103	27	,	,	PUNCT
iajs-2508	103	28	𝑅5	𝑅5	PROPN
iajs-2508	103	29	,	,	PUNCT
iajs-2508	103	30	𝒔𝒉𝟏	𝒔𝒉𝟏	AUX
iajs-2508	103	31	𝑹5	𝑹5	PROPN
iajs-2508	103	32	𝒔,𝒌	𝒔,𝒌	VERB
iajs-2508	103	33	𝒔𝒉𝟐	𝒔𝒉𝟐	ADV
iajs-2508	103	34	𝑹5	𝑹5	ADV
iajs-2508	103	35	𝒔,𝒌	𝒔,𝒌	VERB
iajs-2508	104	1	𝑻𝒉	𝑻𝒉	PROPN
iajs-2508	104	2	(	(	PUNCT
iajs-2508	104	3	10,10	10,10	NUM
iajs-2508	104	4	)	)	PUNCT
iajs-2508	104	5	0.45555	0.45555	NUM
iajs-2508	104	6	0.48489	0.48489	NUM
iajs-2508	104	7	0.48443	0.48443	NUM
iajs-2508	104	8	0.48485	0.48485	NUM
iajs-2508	104	9	(	(	PUNCT
iajs-2508	104	10	30,30	30,30	NUM
iajs-2508	104	11	)	)	PUNCT
iajs-2508	104	12	0.45467	0.45467	NUM
iajs-2508	104	13	0.48489	0.48489	NUM
iajs-2508	104	14	0.48450	0.48450	NUM
iajs-2508	104	15	0.48486	0.48486	NUM
iajs-2508	104	16	(	(	PUNCT
iajs-2508	104	17	50,50	50,50	NUM
iajs-2508	104	18	)	)	PUNCT
iajs-2508	104	19	0.45551	0.45551	NUM
iajs-2508	104	20	0.48489	0.48489	NUM
iajs-2508	104	21	0.48453	0.48453	NUM
iajs-2508	104	22	0.48486	0.48486	NUM
iajs-2508	104	23	(	(	PUNCT
iajs-2508	104	24	100,100	100,100	NUM
iajs-2508	104	25	)	)	PUNCT
iajs-2508	104	26	0.45835	0.45835	NUM
iajs-2508	104	27	0.48489	0.48489	NUM
iajs-2508	104	28	0.48458	0.48458	NUM
iajs-2508	104	29	0.48487	0.48487	NUM
iajs-2508	104	30	  	  	SPACE
iajs-2508	104	31	57	57	NUM
iajs-2508	104	32	  	  	SPACE
iajs-2508	104	33	ibn	ibn	PROPN
iajs-2508	104	34	al	al	PROPN
iajs-2508	104	35	-	-	PUNCT
iajs-2508	104	36	haitham	haitham	PROPN
iajs-2508	104	37	jour	jour	X
iajs-2508	104	38	.	.	PROPN
iajs-2508	105	1	for	for	ADP
iajs-2508	105	2	pure	pure	ADJ
iajs-2508	105	3	&	&	CCONJ
iajs-2508	105	4	appl	appl	PROPN
iajs-2508	105	5	.	.	PUNCT
iajs-2508	106	1	sci	sci	PROPN
iajs-2508	106	2	.	.	PROPN
iajs-2508	107	1	33	33	NUM
iajs-2508	107	2	(	(	PUNCT
iajs-2508	107	3	4	4	NUM
iajs-2508	107	4	)	)	PUNCT
iajs-2508	107	5	2020	2020	NUM
iajs-2508	107	6	table	table	NOUN
iajs-2508	107	7	12	12	NUM
iajs-2508	107	8	.	.	PUNCT
iajs-2508	108	1	values	value	NOUN
iajs-2508	108	2	of	of	ADP
iajs-2508	108	3	the	the	DET
iajs-2508	108	4	r5	r5	PROPN
iajs-2508	108	5	,	,	PUNCT
iajs-2508	108	6	for	for	ADP
iajs-2508	108	7	exponentiated	exponentiate	VERB
iajs-2508	108	8	rayleigh	rayleigh	NOUN
iajs-2508	108	9	distribution	distribution	NOUN
iajs-2508	108	10	when	when	SCONJ
iajs-2508	108	11	r5	r5	PROPN
iajs-2508	108	12	,	,	PUNCT
iajs-2508	108	13	0.48485	0.48485	NUM
iajs-2508	108	14	,	,	PUNCT
iajs-2508	108	15	s=2	s=2	PROPN
iajs-2508	108	16	,	,	PUNCT
iajs-2508	108	17	k=4	k=4	PROPN
iajs-2508	108	18	and	and	CCONJ
iajs-2508	108	19	λ=2	λ=2	PROPN
iajs-2508	108	20	.	.	PUNCT
iajs-2508	108	21	(	(	PUNCT
iajs-2508	108	22	n	n	CCONJ
iajs-2508	108	23	,	,	PUNCT
iajs-2508	108	24	m	m	NOUN
iajs-2508	108	25	)	)	PUNCT
iajs-2508	108	26	𝑅5	𝑅5	PROPN
iajs-2508	108	27	,	,	PUNCT
iajs-2508	108	28	𝑅5	𝑅5	PROPN
iajs-2508	108	29	,	,	PUNCT
iajs-2508	108	30	𝒔𝒉𝟏	𝒔𝒉𝟏	AUX
iajs-2508	108	31	𝑹5	𝑹5	PROPN
iajs-2508	108	32	𝒔,𝒌	𝒔,𝒌	VERB
iajs-2508	108	33	𝒔𝒉𝟐	𝒔𝒉𝟐	ADV
iajs-2508	108	34	𝑹5	𝑹5	ADV
iajs-2508	108	35	𝒔,𝒌	𝒔,𝒌	VERB
iajs-2508	109	1	𝑻𝒉	𝑻𝒉	PROPN
iajs-2508	109	2	(	(	PUNCT
iajs-2508	109	3	10,10	10,10	NUM
iajs-2508	109	4	)	)	PUNCT
iajs-2508	109	5	0.02510	0.02510	NUM
iajs-2508	109	6	0.239e-8	0.239e-8	NUM
iajs-2508	109	7	0.886e-5	0.886e-5	SYM
iajs-2508	109	8	0.917e-7	0.917e-7	NUM
iajs-2508	109	9	(	(	PUNCT
iajs-2508	109	10	30,30	30,30	NUM
iajs-2508	109	11	)	)	PUNCT
iajs-2508	109	12	0.00952	0.00952	NUM
iajs-2508	109	13	0.239e-8	0.239e-8	NUM
iajs-2508	109	14	0.163e-5	0.163e-5	NUM
iajs-2508	109	15	0.151e-7	0.151e-7	NUM
iajs-2508	109	16	(	(	PUNCT
iajs-2508	109	17	50,50	50,50	X
iajs-2508	109	18	)	)	PUNCT
iajs-2508	109	19	0.00611	0.00611	NUM
iajs-2508	109	20	0.239e-8	0.239e-8	NUM
iajs-2508	109	21	0.956e-6	0.956e-6	NUM
iajs-2508	109	22	0.839e-8	0.839e-8	NUM
iajs-2508	109	23	(	(	PUNCT
iajs-2508	109	24	100,100	100,100	NUM
iajs-2508	109	25	)	)	PUNCT
iajs-2508	109	26	0.0031	0.0031	NUM
iajs-2508	109	27	0.239e-8	0.239e-8	NUM
iajs-2508	109	28	0.441e-6	0.441e-6	ADP
iajs-2508	109	29	0.379e-8	0.379e-8	NUM
iajs-2508	109	30	6	6	NUM
iajs-2508	109	31	.	.	PUNCT
iajs-2508	109	32	discussion	discussion	NOUN
iajs-2508	109	33	simulation	simulation	NOUN
iajs-2508	109	34	results	result	VERB
iajs-2508	109	35	from	from	ADP
iajs-2508	109	36	the	the	DET
iajs-2508	109	37	tables	table	NOUN
iajs-2508	109	38	above	above	ADV
iajs-2508	109	39	,	,	PUNCT
iajs-2508	109	40	for	for	ADP
iajs-2508	109	41	n=	n=	ADJ
iajs-2508	109	42	(	(	PUNCT
iajs-2508	109	43	10,30,50,100	10,30,50,100	NUM
iajs-2508	109	44	)	)	PUNCT
iajs-2508	109	45	besides	besides	SCONJ
iajs-2508	109	46	m=(10,30,50,100	m=(10,30,50,100	NUM
iajs-2508	109	47	)	)	PUNCT
iajs-2508	110	1	we	we	PRON
iajs-2508	110	2	conclude	conclude	VERB
iajs-2508	110	3	that	that	SCONJ
iajs-2508	110	4	the	the	DET
iajs-2508	110	5	minimum	minimum	NOUN
iajs-2508	110	6	(	(	PUNCT
iajs-2508	110	7	mse	mse	NOUN
iajs-2508	110	8	)	)	PUNCT
iajs-2508	110	9	for	for	ADP
iajs-2508	110	10	the	the	DET
iajs-2508	110	11	estimator	estimator	NOUN
iajs-2508	110	12	of	of	ADP
iajs-2508	110	13	system	system	NOUN
iajs-2508	110	14	reliability	reliability	NOUN
iajs-2508	110	15	r	r	NOUN
iajs-2508	110	16	(	(	PUNCT
iajs-2508	110	17	s	s	PROPN
iajs-2508	110	18	,	,	PUNCT
iajs-2508	110	19	k	k	NOUN
iajs-2508	110	20	)	)	PUNCT
iajs-2508	110	21	,	,	PUNCT
iajs-2508	110	22	(	(	PUNCT
iajs-2508	110	23	i=1,2,3,4,5),held	i=1,2,3,4,5),held	X
iajs-2508	110	24	for	for	ADP
iajs-2508	110	25	shrinkage	shrinkage	NOUN
iajs-2508	110	26	estimator	estimator	NOUN
iajs-2508	110	27	by	by	ADP
iajs-2508	110	28	using	use	VERB
iajs-2508	110	29	shrinkage	shrinkage	NOUN
iajs-2508	110	30	weight	weight	NOUN
iajs-2508	110	31	function	function	NOUN
iajs-2508	110	32	.this	.this	PRON
iajs-2508	110	33	indicates	indicate	VERB
iajs-2508	110	34	that	that	SCONJ
iajs-2508	110	35	the	the	DET
iajs-2508	110	36	shrinkage	shrinkage	NOUN
iajs-2508	110	37	reliability	reliability	NOUN
iajs-2508	110	38	estimator	estimator	NOUN
iajs-2508	110	39	(	(	PUNCT
iajs-2508	110	40	𝑅	𝑅	PROPN
iajs-2508	110	41	,	,	PUNCT
iajs-2508	110	42	)	)	PUNCT
iajs-2508	110	43	is	be	AUX
iajs-2508	110	44	the	the	DET
iajs-2508	110	45	best	good	ADJ
iajs-2508	110	46	for	for	ADP
iajs-2508	110	47	any	any	DET
iajs-2508	110	48	n	n	NOUN
iajs-2508	110	49	and	and	CCONJ
iajs-2508	110	50	m	m	PROPN
iajs-2508	110	51	and	and	CCONJ
iajs-2508	110	52	follows	follow	VERB
iajs-2508	110	53	by	by	ADP
iajs-2508	110	54	shrinkage	shrinkage	NOUN
iajs-2508	110	55	estimator	estimator	NOUN
iajs-2508	110	56	using	use	VERB
iajs-2508	110	57	modified	modify	VERB
iajs-2508	110	58	thomson	thomson	NOUN
iajs-2508	110	59	weight	weight	NOUN
iajs-2508	110	60	factor	factor	NOUN
iajs-2508	110	61	.	.	PUNCT
iajs-2508	111	1	7	7	X
iajs-2508	111	2	.	.	X
iajs-2508	111	3	conclusion	conclusion	NOUN
iajs-2508	111	4	the	the	DET
iajs-2508	111	5	simulation	simulation	NOUN
iajs-2508	111	6	results	result	NOUN
iajs-2508	111	7	exhibited	exhibit	VERB
iajs-2508	111	8	that	that	SCONJ
iajs-2508	111	9	the	the	DET
iajs-2508	111	10	shrinkage	shrinkage	NOUN
iajs-2508	111	11	estimator	estimator	NOUN
iajs-2508	111	12	method	method	NOUN
iajs-2508	111	13	is	be	AUX
iajs-2508	111	14	suitable	suitable	ADJ
iajs-2508	111	15	for	for	ADP
iajs-2508	111	16	estimation	estimation	NOUN
iajs-2508	111	17	the	the	DET
iajs-2508	111	18	parameters	parameter	NOUN
iajs-2508	111	19	and	and	CCONJ
iajs-2508	111	20	system	system	NOUN
iajs-2508	111	21	reliability	reliability	NOUN
iajs-2508	111	22	for	for	ADP
iajs-2508	111	23	the	the	DET
iajs-2508	111	24	exponentiated	exponentiated	ADJ
iajs-2508	111	25	family	family	NOUN
iajs-2508	111	26	distribution	distribution	NOUN
iajs-2508	111	27	especially	especially	ADV
iajs-2508	111	28	when	when	SCONJ
iajs-2508	111	29	shrinkage	shrinkage	NOUN
iajs-2508	111	30	weight	weight	NOUN
iajs-2508	111	31	factor	factor	NOUN
iajs-2508	111	32	as	as	ADP
iajs-2508	111	33	a	a	DET
iajs-2508	111	34	linear	linear	ADJ
iajs-2508	111	35	combination	combination	NOUN
iajs-2508	111	36	between	between	ADP
iajs-2508	111	37	unbiased	unbiased	ADJ
iajs-2508	111	38	estimator	estimator	NOUN
iajs-2508	111	39	,	,	PUNCT
iajs-2508	111	40	and	and	CCONJ
iajs-2508	111	41	prior	prior	ADJ
iajs-2508	111	42	estimate	estimate	NOUN
iajs-2508	111	43	.	.	PUNCT
iajs-2508	112	1	the	the	DET
iajs-2508	112	2	result	result	NOUN
iajs-2508	112	3	estimator	estimator	NOUN
iajs-2508	112	4	𝑅	𝑅	PROPN
iajs-2508	112	5	perform	perform	VERB
iajs-2508	112	6	well	well	ADV
iajs-2508	112	7	and	and	CCONJ
iajs-2508	112	8	will	will	AUX
iajs-2508	112	9	be	be	AUX
iajs-2508	112	10	the	the	DET
iajs-2508	112	11	best	good	ADJ
iajs-2508	112	12	estimator	estimator	NOUN
iajs-2508	112	13	than	than	ADP
iajs-2508	112	14	the	the	DET
iajs-2508	112	15	other	other	ADJ
iajs-2508	112	16	in	in	ADP
iajs-2508	112	17	the	the	DET
iajs-2508	112	18	sense	sense	NOUN
iajs-2508	112	19	of	of	ADP
iajs-2508	112	20	mse	mse	PROPN
iajs-2508	112	21	.	.	PUNCT
iajs-2508	113	1	references	reference	NOUN
iajs-2508	113	2	1	1	NUM
iajs-2508	113	3	.	.	PUNCT
iajs-2508	113	4	bhattacharyya	bhattacharyya	PROPN
iajs-2508	113	5	,	,	PUNCT
iajs-2508	113	6	g.k	g.k	PROPN
iajs-2508	113	7	;	;	PUNCT
iajs-2508	113	8	johnson	johnson	PROPN
iajs-2508	113	9	,	,	PUNCT
iajs-2508	113	10	r.	r.	PROPN
iajs-2508	113	11	a.	a.	PROPN
iajs-2508	113	12	estimation	estimation	NOUN
iajs-2508	113	13	of	of	ADP
iajs-2508	113	14	reliability	reliability	NOUN
iajs-2508	113	15	in	in	ADP
iajs-2508	113	16	a	a	DET
iajs-2508	113	17	multi	multi	ADJ
iajs-2508	113	18	-	-	ADJ
iajs-2508	113	19	component	component	ADJ
iajs-2508	113	20	stress	stress	NOUN
iajs-2508	113	21	-	-	PUNCT
iajs-2508	113	22	strength	strength	NOUN
iajs-2508	113	23	model	model	NOUN
iajs-2508	113	24	,	,	PUNCT
iajs-2508	113	25	journal	journal	NOUN
iajs-2508	113	26	of	of	ADP
iajs-2508	113	27	the	the	DET
iajs-2508	113	28	american	american	PROPN
iajs-2508	113	29	statistical	statistical	PROPN
iajs-2508	113	30	association	association	NOUN
iajs-2508	113	31	,	,	PUNCT
iajs-2508	113	32	1974	1974	NUM
iajs-2508	113	33	,	,	PUNCT
iajs-2508	113	34	69	69	NUM
iajs-2508	113	35	,	,	PUNCT
iajs-2508	113	36	348	348	NUM
iajs-2508	113	37	.	.	NOUN
iajs-2508	114	1	2	2	X
iajs-2508	114	2	.	.	X
iajs-2508	114	3	pandit	pandit	PROPN
iajs-2508	114	4	,	,	PUNCT
iajs-2508	114	5	p.v	p.v	PROPN
iajs-2508	114	6	.	.	PROPN
iajs-2508	114	7	;	;	PUNCT
iajs-2508	114	8	kantu	kantu	PROPN
iajs-2508	114	9	,	,	PUNCT
iajs-2508	114	10	k.j	k.j	PROPN
iajs-2508	114	11	.	.	PUNCT
iajs-2508	114	12	reliability	reliability	NOUN
iajs-2508	114	13	estimation	estimation	NOUN
iajs-2508	114	14	in	in	ADP
iajs-2508	114	15	multicomponent	multicomponent	NOUN
iajs-2508	114	16	pareto	pareto	ADJ
iajs-2508	114	17	stressstrength	stressstrength	NOUN
iajs-2508	114	18	models	model	NOUN
iajs-2508	114	19	.	.	PUNCT
iajs-2508	115	1	pioneer	pioneer	PROPN
iajs-2508	115	2	journal	journal	PROPN
iajs-2508	115	3	of	of	ADP
iajs-2508	115	4	theoretical	theoretical	ADJ
iajs-2508	115	5	and	and	CCONJ
iajs-2508	115	6	applied	apply	VERB
iajs-2508	115	7	statistical	statistical	ADJ
iajs-2508	115	8	,	,	PUNCT
iajs-2508	115	9	2012	2012	NUM
iajs-2508	115	10	,	,	PUNCT
iajs-2508	115	11	5	5	NUM
iajs-2508	115	12	,	,	PUNCT
iajs-2508	115	13	1	1	NUM
iajs-2508	115	14	,	,	PUNCT
iajs-2508	115	15	35	35	NUM
iajs-2508	115	16	-	-	SYM
iajs-2508	115	17	40	40	NUM
iajs-2508	115	18	.	.	PUNCT
iajs-2508	116	1	3	3	X
iajs-2508	116	2	.	.	X
iajs-2508	116	3	rao	rao	PROPN
iajs-2508	116	4	,	,	PUNCT
iajs-2508	116	5	g.	g.	PROPN
iajs-2508	116	6	s.	s.	PROPN
iajs-2508	116	7	;	;	PUNCT
iajs-2508	116	8	naidu	naidu	PROPN
iajs-2508	116	9	,	,	PUNCT
iajs-2508	116	10	ch	ch	PROPN
iajs-2508	116	11	.	.	PROPN
iajs-2508	116	12	r.	r.	PROPN
iajs-2508	116	13	estimation	estimation	PROPN
iajs-2508	116	14	of	of	ADP
iajs-2508	116	15	multi	multi	ADJ
iajs-2508	116	16	-	-	ADJ
iajs-2508	116	17	component	component	ADJ
iajs-2508	116	18	stress	stress	NOUN
iajs-2508	116	19	-	-	PUNCT
iajs-2508	116	20	strength	strength	NOUN
iajs-2508	116	21	based	base	VERB
iajs-2508	116	22	on	on	ADP
iajs-2508	116	23	exponentiated	exponentiated	ADJ
iajs-2508	116	24	half	half	ADJ
iajs-2508	116	25	-	-	PUNCT
iajs-2508	116	26	logistic	logistic	ADJ
iajs-2508	116	27	distribution	distribution	NOUN
iajs-2508	116	28	,	,	PUNCT
iajs-2508	116	29	journal	journal	NOUN
iajs-2508	116	30	of	of	ADP
iajs-2508	116	31	statistics	statistic	NOUN
iajs-2508	116	32	:	:	PUNCT
iajs-2508	116	33	advances	advance	NOUN
iajs-2508	116	34	in	in	ADP
iajs-2508	116	35	theory	theory	NOUN
iajs-2508	116	36	and	and	CCONJ
iajs-2508	116	37	applications	application	NOUN
iajs-2508	116	38	,	,	PUNCT
iajs-2508	116	39	2013	2013	NUM
iajs-2508	116	40	,	,	PUNCT
iajs-2508	116	41	9	9	NUM
iajs-2508	116	42	,	,	PUNCT
iajs-2508	116	43	1	1	NUM
iajs-2508	116	44	,	,	PUNCT
iajs-2508	116	45	19	19	NUM
iajs-2508	116	46	-	-	SYM
iajs-2508	116	47	35	35	NUM
iajs-2508	116	48	.	.	NOUN
iajs-2508	117	1	4	4	NUM
iajs-2508	117	2	.	.	X
iajs-2508	117	3	rao	rao	PROPN
iajs-2508	117	4	,	,	PUNCT
iajs-2508	117	5	g.	g.	PROPN
iajs-2508	117	6	s.	s.	PROPN
iajs-2508	117	7	estimation	estimation	PROPN
iajs-2508	117	8	of	of	ADP
iajs-2508	117	9	reliability	reliability	NOUN
iajs-2508	117	10	in	in	ADP
iajs-2508	117	11	multicomponent	multicomponent	NOUN
iajs-2508	117	12	stressstrength	stressstrength	NOUN
iajs-2508	117	13	based	base	VERB
iajs-2508	117	14	on	on	ADP
iajs-2508	117	15	generalized	generalized	ADJ
iajs-2508	117	16	rayleigh	rayleigh	NOUN
iajs-2508	117	17	distribution	distribution	NOUN
iajs-2508	117	18	,	,	PUNCT
iajs-2508	117	19	journal	journal	NOUN
iajs-2508	117	20	of	of	ADP
iajs-2508	117	21	modern	modern	ADJ
iajs-2508	117	22	applied	apply	VERB
iajs-2508	117	23	statistical	statistical	ADJ
iajs-2508	117	24	methods	method	NOUN
iajs-2508	117	25	,	,	PUNCT
iajs-2508	117	26	2014	2014	NUM
iajs-2508	117	27	,	,	PUNCT
iajs-2508	117	28	13	13	NUM
iajs-2508	117	29	,	,	PUNCT
iajs-2508	117	30	24	24	NUM
iajs-2508	117	31	.	.	NOUN
iajs-2508	117	32	5	5	NUM
iajs-2508	117	33	.	.	X
iajs-2508	118	1	yakubu	yakubu	PROPN
iajs-2508	118	2	,	,	PUNCT
iajs-2508	118	3	a.	a.	PROPN
iajs-2508	118	4	;	;	PUNCT
iajs-2508	118	5	yahaya	yahaya	PROPN
iajs-2508	118	6	,	,	PUNCT
iajs-2508	118	7	a.	a.	NOUN
iajs-2508	118	8	bayesian	bayesian	NOUN
iajs-2508	118	9	estimation	estimation	NOUN
iajs-2508	118	10	for	for	ADP
iajs-2508	118	11	the	the	DET
iajs-2508	118	12	shape	shape	NOUN
iajs-2508	118	13	parameter	parameter	NOUN
iajs-2508	118	14	of	of	ADP
iajs-2508	118	15	generalized	generalized	ADJ
iajs-2508	118	16	rayleig1h	rayleig1h	NOUN
iajs-2508	118	17	distribution	distribution	NOUN
iajs-2508	118	18	under	under	ADP
iajs-2508	118	19	non	non	ADJ
iajs-2508	118	20	-	-	ADJ
iajs-2508	118	21	informative	informative	ADJ
iajs-2508	118	22	prior	prior	NOUN
iajs-2508	118	23	.	.	PUNCT
iajs-2508	119	1	international	international	ADJ
iajs-2508	119	2	journal	journal	NOUN
iajs-2508	119	3	of	of	ADP
iajs-2508	119	4	advanced	advanced	ADJ
iajs-2508	119	5	statistics	statistic	NOUN
iajs-2508	119	6	and	and	CCONJ
iajs-2508	119	7	probability,2015,4	probability,2015,4	NOUN
iajs-2508	119	8	,	,	PUNCT
iajs-2508	119	9	1	1	NUM
iajs-2508	119	10	,	,	PUNCT
iajs-2508	119	11	1	1	NUM
iajs-2508	119	12	-	-	SYM
iajs-2508	119	13	10	10	NUM
iajs-2508	119	14	.	.	PUNCT
iajs-2508	120	1	6	6	NUM
iajs-2508	120	2	.	.	X
iajs-2508	120	3	rao	rao	PROPN
iajs-2508	120	4	,	,	PUNCT
iajs-2508	120	5	g.	g.	PROPN
iajs-2508	120	6	s.	s.	PROPN
iajs-2508	120	7	;	;	PUNCT
iajs-2508	120	8	aslam	aslam	PROPN
iajs-2508	120	9	,	,	PUNCT
iajs-2508	120	10	m.	m.	NOUN
iajs-2508	120	11	;	;	PUNCT
iajs-2508	120	12	arif	arif	PROPN
iajs-2508	120	13	,	,	PUNCT
iajs-2508	120	14	o.h	o.h	PROPN
iajs-2508	120	15	.	.	PROPN
iajs-2508	120	16	estimation	estimation	NOUN
iajs-2508	120	17	of	of	ADP
iajs-2508	120	18	reliability	reliability	NOUN
iajs-2508	120	19	in	in	ADP
iajs-2508	120	20	multicomponent	multicomponent	NOUN
iajs-2508	120	21	stressstrength	stressstrength	NOUN
iajs-2508	120	22	based	base	VERB
iajs-2508	120	23	on	on	ADP
iajs-2508	120	24	two	two	NUM
iajs-2508	120	25	parameter	parameter	NOUN
iajs-2508	120	26	exponentiated	exponentiate	VERB
iajs-2508	120	27	weibull	weibull	PROPN
iajs-2508	120	28	distribution	distribution	NOUN
iajs-2508	120	29	.	.	PUNCT
iajs-2508	121	1	communication	communication	NOUN
iajs-2508	121	2	in	in	ADP
iajs-2508	121	3	statistics	statistic	NOUN
iajs-2508	121	4	theory	theory	NOUN
iajs-2508	121	5	and	and	CCONJ
iajs-2508	121	6	methods	method	NOUN
iajs-2508	121	7	,	,	PUNCT
iajs-2508	121	8	2016	2016	NUM
iajs-2508	121	9	,	,	PUNCT
iajs-2508	121	10	46	46	NUM
iajs-2508	121	11	,	,	PUNCT
iajs-2508	121	12	7495	7495	NUM
iajs-2508	121	13	-	-	SYM
iajs-2508	121	14	7502	7502	NUM
iajs-2508	121	15	.	.	PUNCT
iajs-2508	122	1	7	7	X
iajs-2508	122	2	.	.	X
iajs-2508	122	3	abbas	abbas	PROPN
iajs-2508	122	4	,	,	PUNCT
iajs-2508	122	5	n.s	n.s	PROPN
iajs-2508	122	6	.	.	PROPN
iajs-2508	122	7	;	;	PUNCT
iajs-2508	122	8	fatima	fatima	PROPN
iajs-2508	122	9	,	,	PUNCT
iajs-2508	122	10	h.s	h.s	PROPN
iajs-2508	122	11	.	.	PROPN
iajs-2508	123	1	on	on	ADP
iajs-2508	123	2	shrinkage	shrinkage	NOUN
iajs-2508	123	3	estimation	estimation	NOUN
iajs-2508	123	4	of	of	ADP
iajs-2508	123	5	𝑅	𝑅	PROPN
iajs-2508	123	6	,	,	PUNCT
iajs-2508	123	7	based	base	VERB
iajs-2508	123	8	on	on	ADP
iajs-2508	123	9	exponentiated	exponentiated	ADJ
iajs-2508	123	10	weibull	weibull	PROPN
iajs-2508	123	11	distribution	distribution	NOUN
iajs-2508	123	12	,	,	PUNCT
iajs-2508	123	13	international	international	ADJ
iajs-2508	123	14	journal	journal	NOUN
iajs-2508	123	15	of	of	ADP
iajs-2508	123	16	science	science	NOUN
iajs-2508	123	17	and	and	CCONJ
iajs-2508	123	18	research	research	NOUN
iajs-2508	123	19	,	,	PUNCT
iajs-2508	123	20	2017	2017	NUM
iajs-2508	123	21	,	,	PUNCT
iajs-2508	123	22	6	6	NUM
iajs-2508	123	23	,	,	PUNCT
iajs-2508	123	24	7	7	NUM
iajs-2508	123	25	,	,	PUNCT
iajs-2508	123	26	2319	2319	NUM
iajs-2508	123	27	-	-	SYM
iajs-2508	123	28	7064	7064	NUM
iajs-2508	123	29	  	  	SPACE
iajs-2508	123	30	58	58	NUM
iajs-2508	123	31	  	  	SPACE
iajs-2508	123	32	ibn	ibn	PROPN
iajs-2508	123	33	al	al	PROPN
iajs-2508	123	34	-	-	PUNCT
iajs-2508	123	35	haitham	haitham	PROPN
iajs-2508	123	36	jour	jour	X
iajs-2508	123	37	.	.	PROPN
iajs-2508	124	1	for	for	ADP
iajs-2508	124	2	pure	pure	ADJ
iajs-2508	124	3	&	&	CCONJ
iajs-2508	124	4	appl	appl	PROPN
iajs-2508	124	5	.	.	PUNCT
iajs-2508	125	1	sci	sci	PROPN
iajs-2508	125	2	.	.	PROPN
iajs-2508	126	1	33	33	NUM
iajs-2508	126	2	(	(	PUNCT
iajs-2508	126	3	4	4	NUM
iajs-2508	126	4	)	)	PUNCT
iajs-2508	126	5	2020	2020	NUM
iajs-2508	126	6	8	8	NUM
iajs-2508	126	7	.	.	PUNCT
iajs-2508	127	1	salman	salman	PROPN
iajs-2508	127	2	,	,	PUNCT
iajs-2508	127	3	n.s	n.s	PROPN
iajs-2508	127	4	.	.	PROPN
iajs-2508	127	5	;	;	PUNCT
iajs-2508	127	6	eman	eman	PROPN
iajs-2508	127	7	,	,	PUNCT
iajs-2508	127	8	a.a	a.a	PROPN
iajs-2508	127	9	.	.	PROPN
iajs-2508	127	10	on	on	ADP
iajs-2508	127	11	shrinkage	shrinkage	NOUN
iajs-2508	127	12	estimation	estimation	NOUN
iajs-2508	127	13	for	for	ADP
iajs-2508	127	14	r(s	r(s	PROPN
iajs-2508	127	15	,	,	PUNCT
iajs-2508	127	16	k	k	NOUN
iajs-2508	127	17	)	)	PUNCT
iajs-2508	127	18	in	in	ADP
iajs-2508	127	19	case	case	NOUN
iajs-2508	127	20	of	of	ADP
iajs-2508	127	21	exponentiated	exponentiated	ADJ
iajs-2508	127	22	pareto	pareto	ADJ
iajs-2508	127	23	distribution	distribution	NOUN
iajs-2508	127	24	,	,	PUNCT
iajs-2508	127	25	2019	2019	NUM
iajs-2508	127	26	,	,	PUNCT
iajs-2508	127	27	32	32	NUM
iajs-2508	127	28	,	,	PUNCT
iajs-2508	127	29	1	1	NUM
iajs-2508	127	30	,	,	PUNCT
iajs-2508	127	31	152	152	NUM
iajs-2508	127	32	-	-	SYM
iajs-2508	127	33	162	162	NUM
iajs-2508	127	34	.	.	PUNCT
iajs-2508	128	1	9	9	NUM
iajs-2508	128	2	.	.	X
iajs-2508	128	3	ajit	ajit	PROPN
iajs-2508	128	4	chaturvedi	chaturvedi	PROPN
iajs-2508	128	5	;	;	PUNCT
iajs-2508	128	6	anupam	anupam	PROPN
iajs-2508	128	7	pathak	pathak	PROPN
iajs-2508	128	8	.	.	PUNCT
iajs-2508	129	1	estimating	estimate	VERB
iajs-2508	129	2	the	the	DET
iajs-2508	129	3	reliability	reliability	NOUN
iajs-2508	129	4	function	function	NOUN
iajs-2508	129	5	for	for	ADP
iajs-2508	129	6	a	a	DET
iajs-2508	129	7	family	family	NOUN
iajs-2508	129	8	of	of	ADP
iajs-2508	129	9	exponentiated	exponentiated	ADJ
iajs-2508	129	10	distributions	distribution	NOUN
iajs-2508	129	11	.	.	PUNCT
iajs-2508	130	1	journal	journal	NOUN
iajs-2508	130	2	of	of	ADP
iajs-2508	130	3	probability	probability	NOUN
iajs-2508	130	4	and	and	CCONJ
iajs-2508	130	5	statistics	statistic	NOUN
iajs-2508	130	6	,	,	PUNCT
iajs-2508	130	7	2014	2014	NUM
iajs-2508	130	8	,	,	PUNCT
iajs-2508	130	9	2014,10	2014,10	NUM
iajs-2508	130	10	.	.	PUNCT
iajs-2508	131	1	10	10	NUM
iajs-2508	131	2	.	.	X
iajs-2508	132	1	thompson	thompson	PROPN
iajs-2508	132	2	,	,	PUNCT
iajs-2508	132	3	j.r	j.r	PROPN
iajs-2508	132	4	.	.	PROPN
iajs-2508	133	1	some	some	DET
iajs-2508	133	2	shrinkage	shrinkage	NOUN
iajs-2508	133	3	techniques	technique	NOUN
iajs-2508	133	4	for	for	ADP
iajs-2508	133	5	estimating	estimate	VERB
iajs-2508	133	6	the	the	DET
iajs-2508	133	7	mean	mean	NOUN
iajs-2508	133	8	,	,	PUNCT
iajs-2508	133	9	j.	j.	PROPN
iajs-2508	133	10	amer	amer	PROPN
iajs-2508	133	11	.	.	PUNCT
iajs-2508	133	12	statist	statist	PROPN
iajs-2508	133	13	.	.	PUNCT
iajs-2508	134	1	assoc	assoc	PROPN
iajs-2508	134	2	,	,	PUNCT
iajs-2508	134	3	1968,63,113	1968,63,113	NUM
iajs-2508	134	4	-	-	SYM
iajs-2508	134	5	122	122	NUM
iajs-2508	134	6	.	.	PUNCT
iajs-2508	134	7	11	11	NUM
iajs-2508	134	8	.	.	PUNCT
iajs-2508	135	1	rubinstein	rubinstein	PROPN
iajs-2508	135	2	,	,	PUNCT
iajs-2508	135	3	r.	r.	PROPN
iajs-2508	135	4	y	y	PROPN
iajs-2508	135	5	;	;	PUNCT
iajs-2508	135	6	kroese	kroese	PROPN
iajs-2508	135	7	,	,	PUNCT
iajs-2508	135	8	d.p	d.p	PROPN
iajs-2508	135	9	.	.	PROPN
iajs-2508	135	10	simulation	simulation	NOUN
iajs-2508	135	11	and	and	CCONJ
iajs-2508	135	12	the	the	DET
iajs-2508	135	13	monte	monte	PROPN
iajs-2508	135	14	carlo	carlo	PROPN
iajs-2508	135	15	method	method	NOUN
iajs-2508	135	16	.	.	PUNCT
iajs-2508	136	1	john	john	PROPN
iajs-2508	136	2	wiley	wiley	PROPN
iajs-2508	136	3	and	and	CCONJ
iajs-2508	136	4	sons	son	NOUN
iajs-2508	136	5	,	,	PUNCT
iajs-2508	136	6	1981	1981	NUM
iajs-2508	136	7	.	.	PUNCT