id	sid	tid	token	lemma	pos
iajs-1072	1	1	conseguences	conseguence	NOUN
iajs-1072	1	2	of	of	ADP
iajs-1072	1	3	soil	soil	NOUN
iajs-1072	1	4	crude	crude	ADJ
iajs-1072	1	5	oil	oil	NOUN
iajs-1072	1	6	pollution	pollution	NOUN
iajs-1072	1	7	on	on	ADP
iajs-1072	1	8	some	some	DET
iajs-1072	1	9	wood	wood	NOUN
iajs-1072	1	10	properties	property	NOUN
iajs-1072	1	11	of	of	ADP
iajs-1072	1	12	olive	olive	NOUN
iajs-1072	1	13	trees	tree	NOUN
iajs-1072	1	14	mathematics	mathematic	NOUN
iajs-1072	1	15	|	|	ADV
iajs-1072	1	16	208	208	NUM
iajs-1072	1	17	7102	7102	NUM
iajs-1072	1	18	(	(	PUNCT
iajs-1072	1	19	عام	عام	ADP
iajs-1072	1	20	1العدد	1العدد	NUM
iajs-1072	1	21	)	)	PUNCT
iajs-1072	1	22	30مجلة	30مجلة	NUM
iajs-1072	1	23	إبن	إبن	VERB
iajs-1072	1	24	الهيثم	الهيثم	ADJ
iajs-1072	1	25	للعلوم	للعلوم	NOUN
iajs-1072	1	26	الصرفة	الصرفة	NOUN
iajs-1072	2	1	و	و	PRON
iajs-1072	2	2	التطبيقية	التطبيقية	ADV
iajs-1072	2	3	المجلد	المجلد	VERB
iajs-1072	2	4	ibn	ibn	PROPN
iajs-1072	2	5	al	al	PROPN
iajs-1072	2	6	-	-	PUNCT
iajs-1072	2	7	haitham	haitham	PROPN
iajs-1072	2	8	j.	j.	PROPN
iajs-1072	2	9	for	for	ADP
iajs-1072	2	10	pure	pure	PROPN
iajs-1072	2	11	&	&	CCONJ
iajs-1072	2	12	appl	appl	PROPN
iajs-1072	2	13	.	.	PUNCT
iajs-1072	3	1	sci	sci	PROPN
iajs-1072	3	2	.	.	PUNCT
iajs-1072	3	3	vol	vol	NOUN
iajs-1072	3	4	.	.	PROPN
iajs-1072	3	5	30	30	NUM
iajs-1072	3	6	(	(	PUNCT
iajs-1072	3	7	1	1	NUM
iajs-1072	3	8	)	)	PUNCT
iajs-1072	3	9	2017	2017	NUM
iajs-1072	3	10	comparison	comparison	NOUN
iajs-1072	3	11	of	of	ADP
iajs-1072	3	12	bayes	bayes	PROPN
iajs-1072	3	13	'	'	PART
iajs-1072	3	14	estimators	estimator	NOUN
iajs-1072	3	15	for	for	ADP
iajs-1072	3	16	the	the	DET
iajs-1072	3	17	exponential	exponential	ADJ
iajs-1072	3	18	reliability	reliability	NOUN
iajs-1072	3	19	function	function	NOUN
iajs-1072	3	20	under	under	ADP
iajs-1072	3	21	different	different	ADJ
iajs-1072	3	22	prior	prior	ADJ
iajs-1072	3	23	functions	function	NOUN
iajs-1072	3	24	jinan	jinan	PROPN
iajs-1072	3	25	abbas	abbas	PROPN
iajs-1072	3	26	naser	naser	PROPN
iajs-1072	3	27	al	al	PROPN
iajs-1072	3	28	-	-	PUNCT
iajs-1072	3	29	obedy	obedy	PROPN
iajs-1072	3	30	technical	technical	PROPN
iajs-1072	3	31	college	college	PROPN
iajs-1072	3	32	of	of	ADP
iajs-1072	3	33	management/	management/	PROPN
iajs-1072	3	34	university	university	PROPN
iajs-1072	3	35	of	of	ADP
iajs-1072	3	36	baghdad	baghdad	PROPN
iajs-1072	3	37	received	receive	VERB
iajs-1072	3	38	in	in	ADP
iajs-1072	3	39	:	:	PUNCT
iajs-1072	3	40	4	4	NUM
iajs-1072	3	41	/	/	SYM
iajs-1072	3	42	october/2016	october/2016	NOUN
iajs-1072	3	43	accepted	accept	VERB
iajs-1072	3	44	in	in	ADP
iajs-1072	3	45	:	:	PUNCT
iajs-1072	3	46	7	7	NUM
iajs-1072	3	47	/	/	SYM
iajs-1072	3	48	november/2016	november/2016	PROPN
iajs-1072	3	49	abstract	abstract	NOUN
iajs-1072	3	50	in	in	ADP
iajs-1072	3	51	this	this	DET
iajs-1072	3	52	study	study	NOUN
iajs-1072	3	53	,	,	PUNCT
iajs-1072	3	54	we	we	PRON
iajs-1072	3	55	derived	derive	VERB
iajs-1072	3	56	the	the	DET
iajs-1072	3	57	estimation	estimation	NOUN
iajs-1072	3	58	for	for	ADP
iajs-1072	3	59	reliability	reliability	NOUN
iajs-1072	3	60	of	of	ADP
iajs-1072	3	61	the	the	DET
iajs-1072	3	62	exponential	exponential	ADJ
iajs-1072	3	63	distribution	distribution	NOUN
iajs-1072	3	64	based	base	VERB
iajs-1072	3	65	on	on	ADP
iajs-1072	3	66	the	the	DET
iajs-1072	3	67	bayesian	bayesian	NOUN
iajs-1072	3	68	approach	approach	NOUN
iajs-1072	3	69	.	.	PUNCT
iajs-1072	4	1	in	in	ADP
iajs-1072	4	2	the	the	DET
iajs-1072	4	3	bayesian	bayesian	NOUN
iajs-1072	4	4	approach	approach	NOUN
iajs-1072	4	5	,	,	PUNCT
iajs-1072	4	6	the	the	DET
iajs-1072	4	7	parameter	parameter	NOUN
iajs-1072	4	8	of	of	ADP
iajs-1072	4	9	the	the	DET
iajs-1072	4	10	exponential	exponential	ADJ
iajs-1072	4	11	distribution	distribution	NOUN
iajs-1072	4	12	is	be	AUX
iajs-1072	4	13	assumed	assume	VERB
iajs-1072	4	14	to	to	PART
iajs-1072	4	15	be	be	AUX
iajs-1072	4	16	random	random	ADJ
iajs-1072	4	17	variable	variable	NOUN
iajs-1072	4	18	.we	.we	PUNCT
iajs-1072	5	1	derived	derive	VERB
iajs-1072	5	2	posterior	posterior	ADJ
iajs-1072	5	3	distribution	distribution	NOUN
iajs-1072	5	4	the	the	DET
iajs-1072	5	5	parameter	parameter	NOUN
iajs-1072	5	6	of	of	ADP
iajs-1072	5	7	the	the	DET
iajs-1072	5	8	exponential	exponential	ADJ
iajs-1072	5	9	distribution	distribution	NOUN
iajs-1072	5	10	under	under	ADP
iajs-1072	5	11	four	four	NUM
iajs-1072	5	12	types	type	NOUN
iajs-1072	5	13	priors	prior	NOUN
iajs-1072	5	14	distributions	distribution	NOUN
iajs-1072	5	15	for	for	ADP
iajs-1072	5	16	the	the	DET
iajs-1072	5	17	scale	scale	NOUN
iajs-1072	5	18	parameter	parameter	NOUN
iajs-1072	5	19	of	of	ADP
iajs-1072	5	20	the	the	DET
iajs-1072	5	21	exponential	exponential	ADJ
iajs-1072	5	22	distribution	distribution	NOUN
iajs-1072	5	23	is	be	AUX
iajs-1072	5	24	:	:	PUNCT
iajs-1072	5	25	inverse	inverse	ADJ
iajs-1072	5	26	chi	chi	ADJ
iajs-1072	5	27	-	-	PUNCT
iajs-1072	5	28	square	square	ADJ
iajs-1072	5	29	distribution	distribution	NOUN
iajs-1072	5	30	,	,	PUNCT
iajs-1072	5	31	inverted	inverted	ADJ
iajs-1072	5	32	gamma	gamma	NOUN
iajs-1072	5	33	distribution	distribution	NOUN
iajs-1072	5	34	,	,	PUNCT
iajs-1072	5	35	improper	improper	ADJ
iajs-1072	5	36	distribution	distribution	NOUN
iajs-1072	5	37	,	,	PUNCT
iajs-1072	5	38	non	non	ADJ
iajs-1072	5	39	-	-	ADJ
iajs-1072	5	40	informative	informative	ADJ
iajs-1072	5	41	distribution	distribution	NOUN
iajs-1072	5	42	.	.	PUNCT
iajs-1072	6	1	and	and	CCONJ
iajs-1072	6	2	the	the	DET
iajs-1072	6	3	estimators	estimator	NOUN
iajs-1072	6	4	for	for	ADP
iajs-1072	6	5	reliability	reliability	NOUN
iajs-1072	6	6	is	be	AUX
iajs-1072	6	7	obtained	obtain	VERB
iajs-1072	6	8	using	use	VERB
iajs-1072	6	9	the	the	DET
iajs-1072	6	10	two	two	NUM
iajs-1072	6	11	proposed	propose	VERB
iajs-1072	6	12	loss	loss	NOUN
iajs-1072	6	13	function	function	NOUN
iajs-1072	6	14	in	in	ADP
iajs-1072	6	15	this	this	DET
iajs-1072	6	16	study	study	NOUN
iajs-1072	6	17	which	which	PRON
iajs-1072	6	18	is	be	AUX
iajs-1072	6	19	based	base	VERB
iajs-1072	6	20	on	on	ADP
iajs-1072	6	21	the	the	DET
iajs-1072	6	22	natural	natural	ADJ
iajs-1072	6	23	logarithm	logarithm	NOUN
iajs-1072	6	24	for	for	ADP
iajs-1072	6	25	reliability	reliability	NOUN
iajs-1072	6	26	function	function	NOUN
iajs-1072	6	27	.we	.we	PUNCT
iajs-1072	7	1	used	use	VERB
iajs-1072	7	2	simulation	simulation	NOUN
iajs-1072	7	3	technique	technique	NOUN
iajs-1072	7	4	,	,	PUNCT
iajs-1072	7	5	to	to	PART
iajs-1072	7	6	compare	compare	VERB
iajs-1072	7	7	the	the	DET
iajs-1072	7	8	resultant	resultant	NOUN
iajs-1072	7	9	estimators	estimator	NOUN
iajs-1072	7	10	in	in	ADP
iajs-1072	7	11	terms	term	NOUN
iajs-1072	7	12	of	of	ADP
iajs-1072	7	13	their	their	PRON
iajs-1072	7	14	mean	mean	ADJ
iajs-1072	7	15	squared	square	VERB
iajs-1072	7	16	errors	error	NOUN
iajs-1072	7	17	(	(	PUNCT
iajs-1072	7	18	mse).several	mse).several	ADJ
iajs-1072	7	19	cases	case	NOUN
iajs-1072	7	20	assumed	assume	VERB
iajs-1072	7	21	for	for	ADP
iajs-1072	7	22	the	the	DET
iajs-1072	7	23	parameter	parameter	NOUN
iajs-1072	7	24	of	of	ADP
iajs-1072	7	25	the	the	DET
iajs-1072	7	26	exponential	exponential	ADJ
iajs-1072	7	27	distribution	distribution	NOUN
iajs-1072	7	28	for	for	ADP
iajs-1072	7	29	data	datum	NOUN
iajs-1072	7	30	generating	generating	NOUN
iajs-1072	7	31	of	of	ADP
iajs-1072	7	32	different	different	ADJ
iajs-1072	7	33	samples	sample	NOUN
iajs-1072	7	34	sizes	size	NOUN
iajs-1072	7	35	(	(	PUNCT
iajs-1072	7	36	small	small	ADJ
iajs-1072	7	37	,	,	PUNCT
iajs-1072	7	38	medium	medium	ADJ
iajs-1072	7	39	,	,	PUNCT
iajs-1072	7	40	and	and	CCONJ
iajs-1072	7	41	large	large	ADJ
iajs-1072	7	42	)	)	PUNCT
iajs-1072	7	43	.	.	PUNCT
iajs-1072	8	1	the	the	DET
iajs-1072	8	2	results	result	NOUN
iajs-1072	8	3	were	be	AUX
iajs-1072	8	4	obtained	obtain	VERB
iajs-1072	8	5	by	by	ADP
iajs-1072	8	6	using	use	VERB
iajs-1072	8	7	simulation	simulation	NOUN
iajs-1072	8	8	technique	technique	NOUN
iajs-1072	8	9	,	,	PUNCT
iajs-1072	8	10	programs	program	NOUN
iajs-1072	8	11	written	write	VERB
iajs-1072	8	12	using	use	VERB
iajs-1072	8	13	matlab	matlab	PROPN
iajs-1072	8	14	-	-	PUNCT
iajs-1072	8	15	r2008a	r2008a	NOUN
iajs-1072	8	16	program	program	NOUN
iajs-1072	8	17	were	be	AUX
iajs-1072	8	18	used	use	VERB
iajs-1072	8	19	.	.	PUNCT
iajs-1072	9	1	in	in	ADP
iajs-1072	9	2	general	general	ADJ
iajs-1072	9	3	,	,	PUNCT
iajs-1072	9	4	we	we	PRON
iajs-1072	9	5	obtained	obtain	VERB
iajs-1072	9	6	a	a	DET
iajs-1072	9	7	good	good	ADJ
iajs-1072	9	8	estimations	estimation	NOUN
iajs-1072	9	9	of	of	ADP
iajs-1072	9	10	reliability	reliability	NOUN
iajs-1072	9	11	of	of	ADP
iajs-1072	9	12	the	the	DET
iajs-1072	9	13	exponential	exponential	ADJ
iajs-1072	9	14	distribution	distribution	NOUN
iajs-1072	9	15	under	under	ADP
iajs-1072	9	16	the	the	DET
iajs-1072	9	17	second	second	ADJ
iajs-1072	9	18	proposed	propose	VERB
iajs-1072	9	19	loss	loss	NOUN
iajs-1072	9	20	function	function	NOUN
iajs-1072	9	21	according	accord	VERB
iajs-1072	9	22	to	to	ADP
iajs-1072	9	23	the	the	DET
iajs-1072	9	24	smallest	small	ADJ
iajs-1072	9	25	values	value	NOUN
iajs-1072	9	26	of	of	ADP
iajs-1072	9	27	mean	mean	ADJ
iajs-1072	9	28	squared	square	VERB
iajs-1072	9	29	errors	error	NOUN
iajs-1072	9	30	(	(	PUNCT
iajs-1072	9	31	mse	mse	NOUN
iajs-1072	9	32	)	)	PUNCT
iajs-1072	9	33	for	for	ADP
iajs-1072	9	34	all	all	DET
iajs-1072	9	35	samples	sample	NOUN
iajs-1072	9	36	sizes	size	NOUN
iajs-1072	9	37	(	(	PUNCT
iajs-1072	9	38	n	n	CCONJ
iajs-1072	9	39	)	)	PUNCT
iajs-1072	9	40	comparative	comparative	ADJ
iajs-1072	9	41	to	to	ADP
iajs-1072	9	42	the	the	DET
iajs-1072	9	43	estimated	estimate	VERB
iajs-1072	9	44	values	value	NOUN
iajs-1072	9	45	for	for	ADP
iajs-1072	9	46	mse	mse	NOUN
iajs-1072	9	47	under	under	ADP
iajs-1072	9	48	the	the	DET
iajs-1072	9	49	first	first	ADJ
iajs-1072	9	50	proposed	propose	VERB
iajs-1072	9	51	loss	loss	NOUN
iajs-1072	9	52	function	function	NOUN
iajs-1072	9	53	.	.	PUNCT
iajs-1072	10	1	key	key	ADJ
iajs-1072	10	2	words	word	NOUN
iajs-1072	10	3	:	:	PUNCT
iajs-1072	10	4	the	the	DET
iajs-1072	10	5	exponential	exponential	NOUN
iajs-1072	10	6	,	,	PUNCT
iajs-1072	10	7	bayes	bayes	PROPN
iajs-1072	10	8	method	method	NOUN
iajs-1072	10	9	,	,	PUNCT
iajs-1072	10	10	the	the	DET
iajs-1072	10	11	prior	prior	ADJ
iajs-1072	10	12	distributions	distribution	NOUN
iajs-1072	10	13	:	:	PUNCT
iajs-1072	10	14	inverse	inverse	ADJ
iajs-1072	10	15	chi	chi	ADJ
iajs-1072	10	16	-	-	PUNCT
iajs-1072	10	17	square	square	ADJ
iajs-1072	10	18	distribution	distribution	NOUN
iajs-1072	10	19	,	,	PUNCT
iajs-1072	10	20	inverted	inverted	ADJ
iajs-1072	10	21	gamma	gamma	NOUN
iajs-1072	10	22	distribution	distribution	NOUN
iajs-1072	10	23	,	,	PUNCT
iajs-1072	10	24	improper	improper	ADJ
iajs-1072	10	25	distribution	distribution	NOUN
iajs-1072	10	26	,	,	PUNCT
iajs-1072	10	27	non	non	ADJ
iajs-1072	10	28	-	-	ADJ
iajs-1072	10	29	informative	informative	ADJ
iajs-1072	10	30	distribution	distribution	NOUN
iajs-1072	10	31	,	,	PUNCT
iajs-1072	10	32	mean	mean	VERB
iajs-1072	10	33	squared	square	VERB
iajs-1072	10	34	errors	error	NOUN
iajs-1072	10	35	(	(	PUNCT
iajs-1072	10	36	mse	mse	NOUN
iajs-1072	10	37	)	)	PUNCT
iajs-1072	10	38	.	.	PUNCT
iajs-1072	11	1	mathematics	mathematic	NOUN
iajs-1072	11	2	|	|	ADV
iajs-1072	11	3	209	209	NUM
iajs-1072	11	4	7102	7102	NUM
iajs-1072	11	5	(	(	PUNCT
iajs-1072	11	6	عام	عام	ADP
iajs-1072	11	7	1العدد	1العدد	NUM
iajs-1072	11	8	)	)	PUNCT
iajs-1072	11	9	30مجلة	30مجلة	NUM
iajs-1072	11	10	إبن	إبن	VERB
iajs-1072	11	11	الهيثم	الهيثم	ADJ
iajs-1072	11	12	للعلوم	للعلوم	NOUN
iajs-1072	11	13	الصرفة	الصرفة	NOUN
iajs-1072	12	1	و	و	PRON
iajs-1072	12	2	التطبيقية	التطبيقية	ADV
iajs-1072	12	3	المجلد	المجلد	VERB
iajs-1072	12	4	ibn	ibn	PROPN
iajs-1072	12	5	al	al	PROPN
iajs-1072	12	6	-	-	PUNCT
iajs-1072	12	7	haitham	haitham	PROPN
iajs-1072	12	8	j.	j.	PROPN
iajs-1072	12	9	for	for	ADP
iajs-1072	12	10	pure	pure	PROPN
iajs-1072	12	11	&	&	CCONJ
iajs-1072	12	12	appl	appl	PROPN
iajs-1072	12	13	.	.	PUNCT
iajs-1072	13	1	sci	sci	PROPN
iajs-1072	13	2	.	.	PUNCT
iajs-1072	13	3	vol	vol	NOUN
iajs-1072	13	4	.	.	PROPN
iajs-1072	13	5	30	30	NUM
iajs-1072	13	6	(	(	PUNCT
iajs-1072	13	7	1	1	NUM
iajs-1072	13	8	)	)	PUNCT
iajs-1072	13	9	2017	2017	NUM
iajs-1072	13	10	introduction	introduction	NOUN
iajs-1072	14	1	the	the	DET
iajs-1072	14	2	exponential	exponential	ADJ
iajs-1072	14	3	distribution	distribution	NOUN
iajs-1072	14	4	is	be	AUX
iajs-1072	14	5	one	one	NUM
iajs-1072	14	6	of	of	ADP
iajs-1072	14	7	the	the	DET
iajs-1072	14	8	most	most	ADV
iajs-1072	14	9	important	important	ADJ
iajs-1072	14	10	distributions	distribution	NOUN
iajs-1072	14	11	in	in	ADP
iajs-1072	14	12	life	life	NOUN
iajs-1072	14	13	-	-	PUNCT
iajs-1072	14	14	testing	testing	NOUN
iajs-1072	14	15	and	and	CCONJ
iajs-1072	14	16	reliability	reliability	NOUN
iajs-1072	14	17	studies	study	NOUN
iajs-1072	14	18	.	.	PUNCT
iajs-1072	15	1	inference	inference	NOUN
iajs-1072	15	2	procedures	procedure	NOUN
iajs-1072	15	3	for	for	ADP
iajs-1072	15	4	the	the	DET
iajs-1072	15	5	exponential	exponential	ADJ
iajs-1072	15	6	distribution	distribution	NOUN
iajs-1072	15	7	and	and	CCONJ
iajs-1072	15	8	applications	application	NOUN
iajs-1072	15	9	in	in	ADP
iajs-1072	15	10	the	the	DET
iajs-1072	15	11	context	context	NOUN
iajs-1072	15	12	of	of	ADP
iajs-1072	15	13	life	life	NOUN
iajs-1072	15	14	-	-	PUNCT
iajs-1072	15	15	testing	testing	NOUN
iajs-1072	15	16	and	and	CCONJ
iajs-1072	15	17	reliability	reliability	NOUN
iajs-1072	15	18	have	have	AUX
iajs-1072	15	19	been	be	AUX
iajs-1072	15	20	discussed	discuss	VERB
iajs-1072	15	21	by	by	ADP
iajs-1072	15	22	many	many	ADJ
iajs-1072	15	23	authors	author	NOUN
iajs-1072	15	24	.	.	PUNCT
iajs-1072	16	1	we	we	PRON
iajs-1072	16	2	mention	mention	VERB
iajs-1072	16	3	some	some	PRON
iajs-1072	16	4	of	of	ADP
iajs-1072	16	5	them	they	PRON
iajs-1072	16	6	in	in	ADP
iajs-1072	16	7	a	a	DET
iajs-1072	16	8	brief	brief	ADJ
iajs-1072	16	9	manner	manner	NOUN
iajs-1072	16	10	:	:	PUNCT
iajs-1072	16	11	chiou	chiou	NOUN
iajs-1072	16	12	(	(	PUNCT
iajs-1072	16	13	1993	1993	NUM
iajs-1072	16	14	)	)	PUNCT
iajs-1072	17	1	[	[	X
iajs-1072	17	2	1	1	X
iajs-1072	17	3	]	]	PUNCT
iajs-1072	17	4	proposed	propose	VERB
iajs-1072	17	5	two	two	NUM
iajs-1072	17	6	empirical	empirical	ADJ
iajs-1072	17	7	bayes	bayes	NOUN
iajs-1072	17	8	shrinkage	shrinkage	VERB
iajs-1072	17	9	estimators	estimator	NOUN
iajs-1072	17	10	for	for	ADP
iajs-1072	17	11	the	the	DET
iajs-1072	17	12	reliability	reliability	NOUN
iajs-1072	17	13	of	of	ADP
iajs-1072	17	14	the	the	DET
iajs-1072	17	15	exponential	exponential	ADJ
iajs-1072	17	16	distribution	distribution	NOUN
iajs-1072	17	17	and	and	CCONJ
iajs-1072	17	18	study	study	VERB
iajs-1072	17	19	their	their	PRON
iajs-1072	17	20	properties	property	NOUN
iajs-1072	17	21	.	.	PUNCT
iajs-1072	18	1	under	under	ADP
iajs-1072	18	2	the	the	DET
iajs-1072	18	3	uniform	uniform	NOUN
iajs-1072	18	4	prior	prior	ADJ
iajs-1072	18	5	distribution	distribution	NOUN
iajs-1072	18	6	and	and	CCONJ
iajs-1072	18	7	the	the	DET
iajs-1072	18	8	inverted	inverted	ADJ
iajs-1072	18	9	gamma	gamma	NOUN
iajs-1072	18	10	prior	prior	ADJ
iajs-1072	18	11	distribution	distribution	NOUN
iajs-1072	18	12	these	these	DET
iajs-1072	18	13	estimators	estimator	NOUN
iajs-1072	18	14	are	be	AUX
iajs-1072	18	15	developed	develop	VERB
iajs-1072	18	16	and	and	CCONJ
iajs-1072	18	17	compared	compare	VERB
iajs-1072	18	18	with	with	ADP
iajs-1072	18	19	a	a	DET
iajs-1072	18	20	preliminary	preliminary	ADJ
iajs-1072	18	21	test	test	NOUN
iajs-1072	18	22	estimator	estimator	NOUN
iajs-1072	18	23	with	with	ADP
iajs-1072	18	24	a	a	DET
iajs-1072	18	25	shrinkage	shrinkage	NOUN
iajs-1072	18	26	estimator	estimator	NOUN
iajs-1072	18	27	in	in	ADP
iajs-1072	18	28	terms	term	NOUN
iajs-1072	18	29	of	of	ADP
iajs-1072	18	30	mean	mean	ADJ
iajs-1072	18	31	squared	square	VERB
iajs-1072	18	32	error	error	NOUN
iajs-1072	18	33	.	.	PUNCT
iajs-1072	19	1	baklizi	baklizi	PROPN
iajs-1072	19	2	(	(	PUNCT
iajs-1072	19	3	2003	2003	NUM
iajs-1072	19	4	)	)	PUNCT
iajs-1072	20	1	[	[	X
iajs-1072	20	2	2	2	X
iajs-1072	20	3	]	]	PUNCT
iajs-1072	20	4	investigated	investigate	VERB
iajs-1072	20	5	the	the	DET
iajs-1072	20	6	advantages	advantage	NOUN
iajs-1072	20	7	of	of	ADP
iajs-1072	20	8	incorporating	incorporate	VERB
iajs-1072	20	9	prior	prior	ADJ
iajs-1072	20	10	information	information	NOUN
iajs-1072	20	11	in	in	ADP
iajs-1072	20	12	the	the	DET
iajs-1072	20	13	reliability	reliability	NOUN
iajs-1072	20	14	function	function	NOUN
iajs-1072	20	15	through	through	ADP
iajs-1072	20	16	the	the	DET
iajs-1072	20	17	shrinkage	shrinkage	NOUN
iajs-1072	20	18	estimators	estimator	NOUN
iajs-1072	20	19	.	.	PUNCT
iajs-1072	21	1	his	his	PRON
iajs-1072	21	2	work	work	NOUN
iajs-1072	21	3	is	be	AUX
iajs-1072	21	4	an	an	DET
iajs-1072	21	5	effort	effort	NOUN
iajs-1072	21	6	to	to	PART
iajs-1072	21	7	coin	coin	VERB
iajs-1072	21	8	unified	unified	ADJ
iajs-1072	21	9	shrinkage	shrinkage	NOUN
iajs-1072	21	10	estimators	estimator	NOUN
iajs-1072	21	11	of	of	ADP
iajs-1072	21	12	reliability	reliability	NOUN
iajs-1072	21	13	function	function	NOUN
iajs-1072	21	14	for	for	ADP
iajs-1072	21	15	five	five	NUM
iajs-1072	21	16	lifetime	lifetime	NOUN
iajs-1072	21	17	distributions	distribution	NOUN
iajs-1072	21	18	commonly	commonly	ADV
iajs-1072	21	19	used	use	VERB
iajs-1072	21	20	to	to	PART
iajs-1072	21	21	model	model	VERB
iajs-1072	21	22	lifetime	lifetime	NOUN
iajs-1072	21	23	data	datum	NOUN
iajs-1072	21	24	by	by	ADP
iajs-1072	21	25	biologists	biologist	NOUN
iajs-1072	21	26	,	,	PUNCT
iajs-1072	21	27	physicists	physicist	NOUN
iajs-1072	21	28	,	,	PUNCT
iajs-1072	21	29	engineers	engineer	NOUN
iajs-1072	21	30	and	and	CCONJ
iajs-1072	21	31	statisticians	statistician	NOUN
iajs-1072	21	32	for	for	ADP
iajs-1072	21	33	living	living	NOUN
iajs-1072	21	34	and	and	CCONJ
iajs-1072	21	35	non	non	ADJ
iajs-1072	21	36	-	-	ADJ
iajs-1072	21	37	living	living	ADJ
iajs-1072	21	38	entities	entity	NOUN
iajs-1072	21	39	.	.	PUNCT
iajs-1072	22	1	sarhan	sarhan	ADV
iajs-1072	22	2	(	(	PUNCT
iajs-1072	22	3	2003	2003	NUM
iajs-1072	22	4	)	)	PUNCT
iajs-1072	23	1	[	[	X
iajs-1072	23	2	3	3	X
iajs-1072	23	3	]	]	PUNCT
iajs-1072	23	4	exploits	exploit	VERB
iajs-1072	23	5	past	past	ADJ
iajs-1072	23	6	experiments	experiment	NOUN
iajs-1072	23	7	to	to	PART
iajs-1072	23	8	approximate	approximate	VERB
iajs-1072	23	9	a	a	DET
iajs-1072	23	10	prior	prior	ADJ
iajs-1072	23	11	information	information	NOUN
iajs-1072	23	12	(	(	PUNCT
iajs-1072	23	13	prior	prior	ADJ
iajs-1072	23	14	density	density	NOUN
iajs-1072	23	15	)	)	PUNCT
iajs-1072	23	16	into	into	ADP
iajs-1072	23	17	the	the	DET
iajs-1072	23	18	model	model	NOUN
iajs-1072	23	19	,	,	PUNCT
iajs-1072	23	20	in	in	ADP
iajs-1072	23	21	estimating	estimate	VERB
iajs-1072	23	22	reliability	reliability	NOUN
iajs-1072	23	23	function	function	NOUN
iajs-1072	23	24	and	and	CCONJ
iajs-1072	23	25	parameter	parameter	NOUN
iajs-1072	23	26	of	of	ADP
iajs-1072	23	27	exponential	exponential	ADJ
iajs-1072	23	28	distribution	distribution	NOUN
iajs-1072	23	29	,	,	PUNCT
iajs-1072	23	30	by	by	ADP
iajs-1072	23	31	using	use	VERB
iajs-1072	23	32	bayesian	bayesian	NOUN
iajs-1072	23	33	approach	approach	NOUN
iajs-1072	23	34	.	.	PUNCT
iajs-1072	24	1	balakrishnan	balakrishnan	PROPN
iajs-1072	24	2	,	,	PUNCT
iajs-1072	24	3	lin	lin	PROPN
iajs-1072	24	4	and	and	CCONJ
iajs-1072	24	5	chan	chan	PROPN
iajs-1072	24	6	(	(	PUNCT
iajs-1072	24	7	2005	2005	NUM
iajs-1072	24	8	)	)	PUNCT
iajs-1072	25	1	[	[	X
iajs-1072	25	2	4	4	X
iajs-1072	25	3	]	]	PUNCT
iajs-1072	25	4	made	make	VERB
iajs-1072	25	5	a	a	DET
iajs-1072	25	6	comparison	comparison	NOUN
iajs-1072	25	7	of	of	ADP
iajs-1072	25	8	these	these	DET
iajs-1072	25	9	two	two	NUM
iajs-1072	25	10	prediction	prediction	NOUN
iajs-1072	25	11	intervals	interval	NOUN
iajs-1072	25	12	based	base	VERB
iajs-1072	25	13	on	on	ADP
iajs-1072	25	14	the	the	DET
iajs-1072	25	15	expected	expect	VERB
iajs-1072	25	16	width	width	NOUN
iajs-1072	25	17	of	of	ADP
iajs-1072	25	18	the	the	DET
iajs-1072	25	19	prediction	prediction	NOUN
iajs-1072	25	20	interval	interval	NOUN
iajs-1072	25	21	,	,	PUNCT
iajs-1072	25	22	as	as	ADV
iajs-1072	25	23	well	well	ADV
iajs-1072	25	24	as	as	ADP
iajs-1072	25	25	by	by	ADP
iajs-1072	25	26	means	mean	NOUN
iajs-1072	25	27	of	of	ADP
iajs-1072	25	28	the	the	DET
iajs-1072	25	29	probability	probability	NOUN
iajs-1072	25	30	of	of	ADP
iajs-1072	25	31	the	the	DET
iajs-1072	25	32	width	width	NOUN
iajs-1072	25	33	of	of	ADP
iajs-1072	25	34	one	one	NUM
iajs-1072	25	35	being	be	AUX
iajs-1072	25	36	smaller	small	ADJ
iajs-1072	25	37	than	than	ADP
iajs-1072	25	38	the	the	DET
iajs-1072	25	39	other	other	ADJ
iajs-1072	25	40	.	.	PUNCT
iajs-1072	26	1	friesl	friesl	PROPN
iajs-1072	26	2	and	and	CCONJ
iajs-1072	26	3	hurt	hurt	VERB
iajs-1072	26	4	(	(	PUNCT
iajs-1072	26	5	2007	2007	NUM
iajs-1072	26	6	)	)	PUNCT
iajs-1072	27	1	[	[	X
iajs-1072	27	2	5	5	NUM
iajs-1072	27	3	]	]	PUNCT
iajs-1072	27	4	gave	give	VERB
iajs-1072	27	5	some	some	DET
iajs-1072	27	6	basic	basic	ADJ
iajs-1072	27	7	ideas	idea	NOUN
iajs-1072	27	8	of	of	ADP
iajs-1072	27	9	both	both	CCONJ
iajs-1072	27	10	the	the	DET
iajs-1072	27	11	construction	construction	NOUN
iajs-1072	27	12	and	and	CCONJ
iajs-1072	27	13	investigation	investigation	NOUN
iajs-1072	27	14	of	of	ADP
iajs-1072	27	15	the	the	DET
iajs-1072	27	16	properties	property	NOUN
iajs-1072	27	17	of	of	ADP
iajs-1072	27	18	the	the	DET
iajs-1072	27	19	bayesian	bayesian	NOUN
iajs-1072	27	20	estimates	estimate	NOUN
iajs-1072	27	21	of	of	ADP
iajs-1072	27	22	certain	certain	ADJ
iajs-1072	27	23	parametric	parametric	ADJ
iajs-1072	27	24	functions	function	NOUN
iajs-1072	27	25	of	of	ADP
iajs-1072	27	26	the	the	DET
iajs-1072	27	27	exponential	exponential	ADJ
iajs-1072	27	28	distribution	distribution	NOUN
iajs-1072	27	29	under	under	ADP
iajs-1072	27	30	the	the	DET
iajs-1072	27	31	model	model	NOUN
iajs-1072	27	32	of	of	ADP
iajs-1072	27	33	random	random	ADJ
iajs-1072	27	34	censorship	censorship	NOUN
iajs-1072	27	35	assuming	assume	VERB
iajs-1072	27	36	the	the	DET
iajs-1072	27	37	koziol	koziol	PROPN
iajs-1072	27	38	–	–	PUNCT
iajs-1072	27	39	green	green	ADJ
iajs-1072	27	40	model	model	NOUN
iajs-1072	27	41	.	.	PUNCT
iajs-1072	28	1	various	various	ADJ
iajs-1072	28	2	prior	prior	ADJ
iajs-1072	28	3	distributions	distribution	NOUN
iajs-1072	28	4	are	be	AUX
iajs-1072	28	5	investigated	investigate	VERB
iajs-1072	28	6	and	and	CCONJ
iajs-1072	28	7	the	the	DET
iajs-1072	28	8	corresponding	corresponding	ADJ
iajs-1072	28	9	estimates	estimate	NOUN
iajs-1072	28	10	are	be	AUX
iajs-1072	28	11	derived.liu	derived.liu	X
iajs-1072	28	12	and	and	CCONJ
iajs-1072	28	13	ren	ren	PROPN
iajs-1072	28	14	(	(	PUNCT
iajs-1072	28	15	2013	2013	NUM
iajs-1072	28	16	)	)	PUNCT
iajs-1072	29	1	[	[	X
iajs-1072	29	2	6	6	NUM
iajs-1072	29	3	]	]	PUNCT
iajs-1072	29	4	studied	study	VERB
iajs-1072	29	5	the	the	DET
iajs-1072	29	6	empirical	empirical	ADJ
iajs-1072	29	7	bayes	bayes	NOUN
iajs-1072	29	8	estimation	estimation	NOUN
iajs-1072	29	9	of	of	ADP
iajs-1072	29	10	the	the	DET
iajs-1072	29	11	parameter	parameter	NOUN
iajs-1072	29	12	of	of	ADP
iajs-1072	29	13	the	the	DET
iajs-1072	29	14	exponential	exponential	ADJ
iajs-1072	29	15	distribution	distribution	NOUN
iajs-1072	29	16	.	.	PUNCT
iajs-1072	30	1	in	in	ADP
iajs-1072	30	2	the	the	DET
iajs-1072	30	3	empirical	empirical	ADJ
iajs-1072	30	4	bayes	bayes	NOUN
iajs-1072	30	5	procedure	procedure	NOUN
iajs-1072	30	6	,	,	PUNCT
iajs-1072	30	7	they	they	PRON
iajs-1072	30	8	employ	employ	VERB
iajs-1072	30	9	the	the	DET
iajs-1072	30	10	non	non	ADJ
iajs-1072	30	11	-	-	ADJ
iajs-1072	30	12	parameter	parameter	ADJ
iajs-1072	30	13	polynomial	polynomial	ADJ
iajs-1072	30	14	density	density	NOUN
iajs-1072	30	15	estimator	estimator	NOUN
iajs-1072	30	16	to	to	ADP
iajs-1072	30	17	the	the	DET
iajs-1072	30	18	estimation	estimation	NOUN
iajs-1072	30	19	of	of	ADP
iajs-1072	30	20	the	the	DET
iajs-1072	30	21	unknown	unknown	ADJ
iajs-1072	30	22	marginal	marginal	ADJ
iajs-1072	30	23	probability	probability	NOUN
iajs-1072	30	24	density	density	NOUN
iajs-1072	30	25	function	function	NOUN
iajs-1072	30	26	,	,	PUNCT
iajs-1072	30	27	instead	instead	ADV
iajs-1072	30	28	of	of	ADP
iajs-1072	30	29	estimating	estimate	VERB
iajs-1072	30	30	the	the	DET
iajs-1072	30	31	unknown	unknown	ADJ
iajs-1072	30	32	prior	prior	ADJ
iajs-1072	30	33	probability	probability	NOUN
iajs-1072	30	34	density	density	NOUN
iajs-1072	30	35	function	function	NOUN
iajs-1072	30	36	of	of	ADP
iajs-1072	30	37	the	the	DET
iajs-1072	30	38	parameter	parameter	NOUN
iajs-1072	30	39	.	.	PUNCT
iajs-1072	31	1	they	they	PRON
iajs-1072	31	2	empirical	empirical	VERB
iajs-1072	31	3	derived	derive	VERB
iajs-1072	31	4	bayes	bayes	NOUN
iajs-1072	31	5	estimators	estimator	NOUN
iajs-1072	31	6	for	for	ADP
iajs-1072	31	7	the	the	DET
iajs-1072	31	8	parameter	parameter	NOUN
iajs-1072	31	9	of	of	ADP
iajs-1072	31	10	the	the	DET
iajs-1072	31	11	exponential	exponential	ADJ
iajs-1072	31	12	distribution	distribution	NOUN
iajs-1072	31	13	under	under	ADP
iajs-1072	31	14	squared	square	VERB
iajs-1072	31	15	error	error	NOUN
iajs-1072	31	16	and	and	CCONJ
iajs-1072	31	17	linex	linex	ADJ
iajs-1072	31	18	loss	loss	NOUN
iajs-1072	31	19	functions	function	NOUN
iajs-1072	31	20	.	.	PUNCT
iajs-1072	32	1	so	so	ADV
iajs-1072	32	2	in	in	ADP
iajs-1072	32	3	this	this	DET
iajs-1072	32	4	paper	paper	NOUN
iajs-1072	32	5	,	,	PUNCT
iajs-1072	32	6	we	we	PRON
iajs-1072	32	7	try	try	VERB
iajs-1072	32	8	to	to	PART
iajs-1072	32	9	find	find	VERB
iajs-1072	32	10	best	good	ADJ
iajs-1072	32	11	estimation	estimation	NOUN
iajs-1072	32	12	for	for	ADP
iajs-1072	32	13	reliability	reliability	NOUN
iajs-1072	32	14	function	function	NOUN
iajs-1072	32	15	(	(	PUNCT
iajs-1072	32	16	r(t	r(t	NOUN
iajs-1072	32	17	)	)	PUNCT
iajs-1072	32	18	)	)	PUNCT
iajs-1072	32	19	of	of	ADP
iajs-1072	32	20	exponential	exponential	ADJ
iajs-1072	32	21	distribution	distribution	NOUN
iajs-1072	32	22	which	which	PRON
iajs-1072	32	23	it	it	PRON
iajs-1072	32	24	means	mean	VERB
iajs-1072	32	25	the	the	DET
iajs-1072	32	26	probability	probability	NOUN
iajs-1072	32	27	of	of	ADP
iajs-1072	32	28	surviving	survive	VERB
iajs-1072	32	29	at	at	ADP
iajs-1072	32	30	least	least	ADJ
iajs-1072	32	31	till	till	SCONJ
iajs-1072	32	32	age	age	NOUN
iajs-1072	32	33	t.	t.	NOUN
iajs-1072	32	34	according	accord	VERB
iajs-1072	32	35	to	to	ADP
iajs-1072	32	36	the	the	DET
iajs-1072	32	37	smallest	small	ADJ
iajs-1072	32	38	value	value	NOUN
iajs-1072	32	39	of	of	ADP
iajs-1072	32	40	mean	mean	ADJ
iajs-1072	32	41	square	square	ADJ
iajs-1072	32	42	errors	error	NOUN
iajs-1072	32	43	(	(	PUNCT
iajs-1072	32	44	mse	mse	NOUN
iajs-1072	32	45	)	)	PUNCT
iajs-1072	32	46	were	be	AUX
iajs-1072	32	47	calculated	calculate	VERB
iajs-1072	32	48	to	to	PART
iajs-1072	32	49	compare	compare	VERB
iajs-1072	32	50	bayes	bayes	NOUN
iajs-1072	32	51	estimators	estimator	NOUN
iajs-1072	32	52	under	under	ADP
iajs-1072	32	53	four	four	NUM
iajs-1072	32	54	types	type	NOUN
iajs-1072	32	55	of	of	ADP
iajs-1072	32	56	prior	prior	ADJ
iajs-1072	32	57	distributions	distribution	NOUN
iajs-1072	32	58	to	to	PART
iajs-1072	32	59	get	get	VERB
iajs-1072	32	60	bayes	bayes	NOUN
iajs-1072	32	61	estimation	estimation	NOUN
iajs-1072	32	62	:	:	PUNCT
iajs-1072	32	63	inverse	inverse	ADJ
iajs-1072	32	64	chi	chi	ADJ
iajs-1072	32	65	-	-	PUNCT
iajs-1072	32	66	square	square	ADJ
iajs-1072	32	67	distribution	distribution	NOUN
iajs-1072	32	68	,	,	PUNCT
iajs-1072	32	69	inverted	inverted	ADJ
iajs-1072	32	70	gamma	gamma	NOUN
iajs-1072	32	71	distribution	distribution	NOUN
iajs-1072	32	72	,	,	PUNCT
iajs-1072	32	73	improper	improper	ADJ
iajs-1072	32	74	distribution	distribution	NOUN
iajs-1072	32	75	,	,	PUNCT
iajs-1072	32	76	non	non	ADJ
iajs-1072	32	77	-	-	ADJ
iajs-1072	32	78	informative	informative	ADJ
iajs-1072	32	79	distribution	distribution	NOUN
iajs-1072	32	80	when	when	SCONJ
iajs-1072	32	81	the	the	DET
iajs-1072	32	82	bayesian	bayesian	NOUN
iajs-1072	32	83	estimation	estimation	NOUN
iajs-1072	32	84	is	be	AUX
iajs-1072	32	85	based	base	VERB
iajs-1072	32	86	on	on	ADP
iajs-1072	32	87	two	two	NUM
iajs-1072	32	88	proposed	propose	VERB
iajs-1072	32	89	loss	loss	NOUN
iajs-1072	32	90	functions	function	NOUN
iajs-1072	32	91	.several	.several	ADJ
iajs-1072	32	92	cases	case	NOUN
iajs-1072	32	93	from	from	ADP
iajs-1072	32	94	exponential	exponential	ADJ
iajs-1072	32	95	distribution	distribution	NOUN
iajs-1072	32	96	for	for	ADP
iajs-1072	32	97	data	datum	NOUN
iajs-1072	32	98	generating	generate	VERB
iajs-1072	32	99	,	,	PUNCT
iajs-1072	32	100	for	for	ADP
iajs-1072	32	101	different	different	ADJ
iajs-1072	32	102	sample	sample	NOUN
iajs-1072	32	103	sizes	size	NOUN
iajs-1072	32	104	(	(	PUNCT
iajs-1072	32	105	small	small	ADJ
iajs-1072	32	106	,	,	PUNCT
iajs-1072	32	107	medium	medium	ADJ
iajs-1072	32	108	,	,	PUNCT
iajs-1072	32	109	and	and	CCONJ
iajs-1072	32	110	large).the	large).the	DET
iajs-1072	32	111	results	result	NOUN
iajs-1072	32	112	were	be	AUX
iajs-1072	32	113	obtained	obtain	VERB
iajs-1072	32	114	by	by	ADP
iajs-1072	32	115	using	use	VERB
iajs-1072	32	116	simulation	simulation	NOUN
iajs-1072	32	117	technique	technique	NOUN
iajs-1072	32	118	,	,	PUNCT
iajs-1072	32	119	programs	program	NOUN
iajs-1072	32	120	written	write	VERB
iajs-1072	32	121	using	use	VERB
iajs-1072	32	122	matlabr2008a	matlabr2008a	PROPN
iajs-1072	32	123	program	program	NOUN
iajs-1072	32	124	were	be	AUX
iajs-1072	32	125	used	use	VERB
iajs-1072	32	126	.	.	PUNCT
iajs-1072	33	1	exponential	exponential	ADJ
iajs-1072	33	2	distribution	distribution	NOUN
iajs-1072	33	3	we	we	PRON
iajs-1072	33	4	consider	consider	VERB
iajs-1072	33	5	t1	t1	NOUN
iajs-1072	33	6	,	,	PUNCT
iajs-1072	33	7	t2	t2	NOUN
iajs-1072	33	8	,	,	PUNCT
iajs-1072	33	9	…	…	PUNCT
iajs-1072	33	10	,	,	PUNCT
iajs-1072	33	11	tn	tn	PROPN
iajs-1072	33	12	is	be	AUX
iajs-1072	33	13	a	a	DET
iajs-1072	33	14	random	random	ADJ
iajs-1072	33	15	sample	sample	NOUN
iajs-1072	33	16	of	of	ADP
iajs-1072	33	17	n	n	CCONJ
iajs-1072	33	18	independent	independent	ADJ
iajs-1072	33	19	observations	observation	NOUN
iajs-1072	33	20	from	from	ADP
iajs-1072	33	21	an	an	DET
iajs-1072	33	22	exponential	exponential	ADJ
iajs-1072	33	23	distribution	distribution	NOUN
iajs-1072	33	24	having	have	VERB
iajs-1072	33	25	the	the	DET
iajs-1072	33	26	probability	probability	NOUN
iajs-1072	33	27	density	density	NOUN
iajs-1072	33	28	function	function	NOUN
iajs-1072	33	29	(	(	PUNCT
iajs-1072	33	30	pdf	pdf	NOUN
iajs-1072	33	31	)	)	PUNCT
iajs-1072	33	32	define	define	NOUN
iajs-1072	33	33	as	as	ADP
iajs-1072	33	34	[	[	X
iajs-1072	33	35	7	7	NUM
iajs-1072	33	36	]	]	NUM
iajs-1072	33	37	:	:	PUNCT
iajs-1072	33	38	)	)	PUNCT
iajs-1072	33	39	1	1	NUM
iajs-1072	33	40	(	(	PUNCT
iajs-1072	33	41	...	...	PUNCT
iajs-1072	33	42	0	0	NUM
iajs-1072	33	43	t	t	NOUN
iajs-1072	33	44	,	,	PUNCT
iajs-1072	33	45	)	)	PUNCT
iajs-1072	33	46	θ	θ	PROPN
iajs-1072	33	47	texp	texp	NOUN
iajs-1072	33	48	(	(	PUNCT
iajs-1072	33	49	1	1	NUM
iajs-1072	33	50	-	-	PUNCT
iajs-1072	33	51	θ	θ	NOUN
iajs-1072	33	52	)	)	PUNCT
iajs-1072	33	53	θ	θ	PROPN
iajs-1072	33	54	;	;	PUNCT
iajs-1072	33	55	t	t	PROPN
iajs-1072	33	56	f	f	X
iajs-1072	33	57	(	(	PUNCT
iajs-1072	33	58			X
iajs-1072	33	59	where	where	SCONJ
iajs-1072	33	60	θ	θ	PROPN
iajs-1072	33	61	>	>	X
iajs-1072	33	62	0	0	PUNCT
iajs-1072	33	63	is	be	AUX
iajs-1072	33	64	mean	mean	ADJ
iajs-1072	33	65	,	,	PUNCT
iajs-1072	33	66	standard	standard	ADJ
iajs-1072	33	67	deviation	deviation	NOUN
iajs-1072	33	68	,	,	PUNCT
iajs-1072	33	69	and	and	CCONJ
iajs-1072	33	70	scale	scale	NOUN
iajs-1072	33	71	parameter	parameter	NOUN
iajs-1072	33	72	of	of	ADP
iajs-1072	33	73	the	the	DET
iajs-1072	33	74	distribution	distribution	NOUN
iajs-1072	33	75	,	,	PUNCT
iajs-1072	33	76	θ	θ	PROPN
iajs-1072	33	77	is	be	AUX
iajs-1072	33	78	a	a	DET
iajs-1072	33	79	survival	survival	NOUN
iajs-1072	33	80	parameter	parameter	NOUN
iajs-1072	33	81	in	in	ADP
iajs-1072	33	82	the	the	DET
iajs-1072	33	83	sense	sense	NOUN
iajs-1072	33	84	that	that	SCONJ
iajs-1072	33	85	if	if	SCONJ
iajs-1072	33	86	a	a	DET
iajs-1072	33	87	random	random	ADJ
iajs-1072	33	88	variable	variable	NOUN
iajs-1072	33	89	t	t	PROPN
iajs-1072	33	90	is	be	AUX
iajs-1072	33	91	the	the	DET
iajs-1072	33	92	duration	duration	NOUN
iajs-1072	33	93	of	of	ADP
iajs-1072	33	94	time	time	NOUN
iajs-1072	33	95	that	that	PRON
iajs-1072	33	96	a	a	DET
iajs-1072	33	97	given	give	VERB
iajs-1072	33	98	biological	biological	ADJ
iajs-1072	33	99	or	or	CCONJ
iajs-1072	33	100	mechanical	mechanical	ADJ
iajs-1072	33	101	system	system	NOUN
iajs-1072	33	102	manages	manage	VERB
iajs-1072	33	103	to	to	PART
iajs-1072	33	104	survive	survive	VERB
iajs-1072	33	105	,	,	PUNCT
iajs-1072	33	106	and	and	CCONJ
iajs-1072	33	107	t	t	X
iajs-1072	33	108	~	~	PUNCT
iajs-1072	33	109	exp	exp	X
iajs-1072	33	110	(	(	PUNCT
iajs-1072	33	111	θ	θ	PROPN
iajs-1072	33	112	)	)	PUNCT
iajs-1072	33	113	then	then	ADV
iajs-1072	33	114	the	the	DET
iajs-1072	33	115	expected	expected	ADJ
iajs-1072	33	116	duration	duration	NOUN
iajs-1072	33	117	of	of	ADP
iajs-1072	33	118	survival	survival	NOUN
iajs-1072	33	119	of	of	ADP
iajs-1072	33	120	the	the	DET
iajs-1072	33	121	system	system	NOUN
iajs-1072	33	122	is	be	AUX
iajs-1072	33	123	θ	θ	PROPN
iajs-1072	33	124	units	unit	NOUN
iajs-1072	33	125	of	of	ADP
iajs-1072	33	126	time	time	NOUN
iajs-1072	33	127	.so	.so	PUNCT
iajs-1072	33	128	the	the	DET
iajs-1072	33	129	cumulative	cumulative	ADJ
iajs-1072	33	130	(	(	PUNCT
iajs-1072	33	131	distribution	distribution	NOUN
iajs-1072	33	132	)	)	PUNCT
iajs-1072	33	133	function	function	NOUN
iajs-1072	33	134	is	be	AUX
iajs-1072	33	135	http://en.wikipedia.org/wiki/probability_density_function	http://en.wikipedia.org/wiki/probability_density_function	NUM
iajs-1072	33	136	http://en.wikipedia.org/wiki/mean	http://en.wikipedia.org/wiki/mean	ADJ
iajs-1072	33	137	http://en.wikipedia.org/wiki/standard_deviation	http://en.wikipedia.org/wiki/standard_deviation	NOUN
iajs-1072	33	138	http://en.wikipedia.org/wiki/scale_parameter	http://en.wikipedia.org/wiki/scale_parameter	NOUN
iajs-1072	33	139	http://en.wikipedia.org/wiki/random_variable	http://en.wikipedia.org/wiki/random_variable	PROPN
iajs-1072	33	140	mathematics	mathematic	NOUN
iajs-1072	33	141	|	|	ADV
iajs-1072	33	142	210	210	NUM
iajs-1072	33	143	7102	7102	NUM
iajs-1072	33	144	(	(	PUNCT
iajs-1072	33	145	عام	عام	ADP
iajs-1072	33	146	1العدد	1العدد	NUM
iajs-1072	33	147	)	)	PUNCT
iajs-1072	33	148	30مجلة	30مجلة	NUM
iajs-1072	33	149	إبن	إبن	VERB
iajs-1072	33	150	الهيثم	الهيثم	ADJ
iajs-1072	33	151	للعلوم	للعلوم	NOUN
iajs-1072	33	152	الصرفة	الصرفة	NOUN
iajs-1072	34	1	و	و	PRON
iajs-1072	34	2	التطبيقية	التطبيقية	ADV
iajs-1072	34	3	المجلد	المجلد	VERB
iajs-1072	34	4	ibn	ibn	PROPN
iajs-1072	34	5	al	al	PROPN
iajs-1072	34	6	-	-	PUNCT
iajs-1072	34	7	haitham	haitham	PROPN
iajs-1072	34	8	j.	j.	PROPN
iajs-1072	34	9	for	for	ADP
iajs-1072	34	10	pure	pure	PROPN
iajs-1072	34	11	&	&	CCONJ
iajs-1072	34	12	appl	appl	PROPN
iajs-1072	34	13	.	.	PUNCT
iajs-1072	35	1	sci	sci	PROPN
iajs-1072	35	2	.	.	PUNCT
iajs-1072	35	3	vol	vol	NOUN
iajs-1072	35	4	.	.	PROPN
iajs-1072	35	5	30	30	NUM
iajs-1072	35	6	(	(	PUNCT
iajs-1072	35	7	1	1	NUM
iajs-1072	35	8	)	)	PUNCT
iajs-1072	35	9	2017	2017	NUM
iajs-1072	35	10	)	)	PUNCT
iajs-1072	35	11	2	2	NUM
iajs-1072	35	12	(	(	PUNCT
iajs-1072	35	13	...	...	PUNCT
iajs-1072	35	14	0	0	NUM
iajs-1072	35	15	t	t	NOUN
iajs-1072	35	16	,	,	PUNCT
iajs-1072	35	17	)	)	PUNCT
iajs-1072	36	1	θ	θ	PROPN
iajs-1072	36	2	texp	texp	NOUN
iajs-1072	36	3	(	(	PUNCT
iajs-1072	36	4	-1	-1	PUNCT
iajs-1072	36	5	f(u)du	f(u)du	PROPN
iajs-1072	36	6	)	)	PUNCT
iajs-1072	36	7	t	t	PROPN
iajs-1072	37	1	f	f	X
iajs-1072	37	2	(	(	PUNCT
iajs-1072	37	3	0	0	NUM
iajs-1072	37	4			PROPN
iajs-1072	37	5	t	t	PROPN
iajs-1072	37	6	also	also	ADV
iajs-1072	37	7	,	,	PUNCT
iajs-1072	37	8	the	the	DET
iajs-1072	37	9	reliability	reliability	NOUN
iajs-1072	37	10	function	function	NOUN
iajs-1072	37	11	is	be	AUX
iajs-1072	37	12	)	)	PUNCT
iajs-1072	37	13	3	3	NUM
iajs-1072	37	14	(	(	PUNCT
iajs-1072	37	15	...	...	PUNCT
iajs-1072	37	16	)	)	PUNCT
iajs-1072	38	1	θ	θ	NOUN
iajs-1072	38	2	texp(f(u)du	texp(f(u)du	NOUN
iajs-1072	38	3	)	)	PUNCT
iajs-1072	38	4	t	t	PROPN
iajs-1072	38	5	f(-1r(t	f(-1r(t	PROPN
iajs-1072	38	6	)	)	PUNCT
iajs-1072	38	7			NOUN
iajs-1072	38	8			VERB
iajs-1072	38	9	t	t	NOUN
iajs-1072	38	10	where	where	SCONJ
iajs-1072	38	11	r(t	r(t	NOUN
iajs-1072	38	12	)	)	PUNCT
iajs-1072	38	13	is	be	AUX
iajs-1072	38	14	probability	probability	NOUN
iajs-1072	38	15	of	of	ADP
iajs-1072	38	16	surviving	survive	VERB
iajs-1072	38	17	at	at	ADP
iajs-1072	38	18	least	least	ADJ
iajs-1072	38	19	till	till	SCONJ
iajs-1072	38	20	age	age	NOUN
iajs-1072	38	21	t	t	PROPN
iajs-1072	38	22	.and	.and	PUNCT
iajs-1072	39	1	f	f	PROPN
iajs-1072	39	2	(	(	PUNCT
iajs-1072	39	3	t	t	PROPN
iajs-1072	39	4	)	)	PUNCT
iajs-1072	39	5	is	be	AUX
iajs-1072	39	6	the	the	DET
iajs-1072	39	7	cumulative	cumulative	ADJ
iajs-1072	39	8	distribution	distribution	NOUN
iajs-1072	39	9	function	function	NOUN
iajs-1072	39	10	.	.	PUNCT
iajs-1072	40	1	bayes	bayes	PROPN
iajs-1072	40	2	estimation	estimation	NOUN
iajs-1072	40	3	method	method	NOUN
iajs-1072	40	4	in	in	ADP
iajs-1072	40	5	this	this	DET
iajs-1072	40	6	section	section	NOUN
iajs-1072	40	7	,	,	PUNCT
iajs-1072	40	8	we	we	PRON
iajs-1072	40	9	used	use	VERB
iajs-1072	40	10	several	several	ADJ
iajs-1072	40	11	methods	method	NOUN
iajs-1072	40	12	to	to	PART
iajs-1072	40	13	estimate	estimate	VERB
iajs-1072	40	14	reliability	reliability	NOUN
iajs-1072	40	15	function	function	NOUN
iajs-1072	40	16	(	(	PUNCT
iajs-1072	40	17	r(t	r(t	NOUN
iajs-1072	40	18	)	)	PUNCT
iajs-1072	40	19	)	)	PUNCT
iajs-1072	40	20	.let	.let	PUNCT
iajs-1072	40	21	)	)	PUNCT
iajs-1072	41	1	t	t	PROPN
iajs-1072	41	2	,	,	PUNCT
iajs-1072	41	3	...	...	PUNCT
iajs-1072	41	4	,	,	PUNCT
iajs-1072	41	5	t	t	X
iajs-1072	41	6	,	,	PUNCT
iajs-1072	41	7	t(t	t(t	NOUN
iajs-1072	41	8	n21	n21	PART
iajs-1072	41	9	be	be	AUX
iajs-1072	41	10	a	a	DET
iajs-1072	41	11	random	random	ADJ
iajs-1072	41	12	sample	sample	NOUN
iajs-1072	41	13	of	of	ADP
iajs-1072	41	14	size	size	NOUN
iajs-1072	41	15	n	n	CCONJ
iajs-1072	41	16	with	with	ADP
iajs-1072	41	17	probability	probability	NOUN
iajs-1072	41	18	density	density	NOUN
iajs-1072	41	19	function	function	NOUN
iajs-1072	41	20	given	give	VERB
iajs-1072	41	21	in	in	ADP
iajs-1072	41	22	equation	equation	NOUN
iajs-1072	41	23	(	(	PUNCT
iajs-1072	41	24	1	1	NUM
iajs-1072	41	25	)	)	PUNCT
iajs-1072	41	26	and	and	CCONJ
iajs-1072	41	27	likelihood	likelihood	NOUN
iajs-1072	41	28	function	function	NOUN
iajs-1072	41	29	from	from	ADP
iajs-1072	41	30	the	the	DET
iajs-1072	41	31	exponential	exponential	ADJ
iajs-1072	41	32	pdf	pdf	NOUN
iajs-1072	41	33	given	give	VERB
iajs-1072	41	34	in	in	ADP
iajs-1072	41	35	(	(	PUNCT
iajs-1072	41	36	1	1	NUM
iajs-1072	41	37	)	)	PUNCT
iajs-1072	41	38	will	will	AUX
iajs-1072	41	39	be	be	AUX
iajs-1072	41	40	as	as	ADP
iajs-1072	41	41	follows[7	follows[7	ADJ
iajs-1072	41	42	]	]	NOUN
iajs-1072	41	43	:	:	PUNCT
iajs-1072	41	44	)	)	PUNCT
iajs-1072	41	45	4	4	NUM
iajs-1072	41	46	(	(	PUNCT
iajs-1072	41	47	...	...	PUNCT
iajs-1072	41	48	θ	θ	PROPN
iajs-1072	41	49	t	t	NOUN
iajs-1072	41	50	exp	exp	NOUN
iajs-1072	41	51	(	(	PUNCT
iajs-1072	41	52	n	n	CCONJ
iajs-1072	41	53	-	-	PUNCT
iajs-1072	41	54	θ	θ	NOUN
iajs-1072	41	55	)	)	PUNCT
iajs-1072	41	56	θ	θ	PROPN
iajs-1072	41	57	;	;	PUNCT
iajs-1072	41	58	t	t	PROPN
iajs-1072	41	59	f	f	PROPN
iajs-1072	41	60	(	(	PUNCT
iajs-1072	41	61	n	n	PROPN
iajs-1072	41	62	θ)\tl	θ)\tl	PROPN
iajs-1072	41	63	(	(	PUNCT
iajs-1072	41	64	i	i	NOUN
iajs-1072	41	65	n	n	PROPN
iajs-1072	41	66	1i	1i	NUM
iajs-1072	41	67	1i	1i	NOUN
iajs-1072	41	68	)	)	PUNCT
iajs-1072	41	69			X
iajs-1072	41	70			VERB
iajs-1072	42	1			NUM
iajs-1072	42	2			ADJ
iajs-1072	42	3	in	in	ADP
iajs-1072	42	4	this	this	DET
iajs-1072	42	5	paper	paper	NOUN
iajs-1072	42	6	the	the	DET
iajs-1072	42	7	posterior	posterior	ADJ
iajs-1072	42	8	distributions	distribution	NOUN
iajs-1072	42	9	for	for	ADP
iajs-1072	42	10	the	the	DET
iajs-1072	42	11	unknown	unknown	ADJ
iajs-1072	42	12	parameter	parameter	NOUN
iajs-1072	42	13	θ	θ	PROPN
iajs-1072	42	14	are	be	AUX
iajs-1072	42	15	derived	derive	VERB
iajs-1072	42	16	using	use	VERB
iajs-1072	42	17	the	the	DET
iajs-1072	42	18	following	follow	VERB
iajs-1072	42	19	four	four	NUM
iajs-1072	42	20	types	type	NOUN
iajs-1072	42	21	of	of	ADP
iajs-1072	42	22	priors	prior	NOUN
iajs-1072	42	23	,	,	PUNCT
iajs-1072	42	24	and	and	CCONJ
iajs-1072	42	25	then	then	ADV
iajs-1072	42	26	get	get	VERB
iajs-1072	42	27	bayes	bayes	NOUN
iajs-1072	42	28	estimation	estimation	NOUN
iajs-1072	42	29	[	[	X
iajs-1072	42	30	7	7	NUM
iajs-1072	42	31	]	]	SYM
iajs-1072	42	32	:	:	PUNCT
iajs-1072	42	33	1	1	X
iajs-1072	42	34	.	.	X
iajs-1072	42	35	inverse	inverse	ADJ
iajs-1072	42	36	chi	chi	ADJ
iajs-1072	42	37	-	-	PUNCT
iajs-1072	42	38	square	square	NOUN
iajs-1072	42	39	distribution[8	distribution[8	PROPN
iajs-1072	42	40	]	]	PUNCT
iajs-1072	42	41	.	.	PUNCT
iajs-1072	43	1	2	2	X
iajs-1072	43	2	.	.	X
iajs-1072	43	3	inverted	inverted	ADJ
iajs-1072	43	4	gamma	gamma	NOUN
iajs-1072	43	5	distribution[9	distribution[9	PROPN
iajs-1072	43	6	]	]	PUNCT
iajs-1072	43	7	.	.	PUNCT
iajs-1072	44	1	3	3	X
iajs-1072	44	2	.	.	PUNCT
iajs-1072	44	3	improper	improper	ADJ
iajs-1072	44	4	distribution	distribution	NOUN
iajs-1072	44	5	.	.	PUNCT
iajs-1072	45	1	4	4	X
iajs-1072	45	2	.	.	X
iajs-1072	45	3	non	non	ADJ
iajs-1072	45	4	-	-	ADJ
iajs-1072	45	5	informative	informative	ADJ
iajs-1072	45	6	distribution	distribution	NOUN
iajs-1072	45	7	.	.	PUNCT
iajs-1072	46	1	1the	1the	ADJ
iajs-1072	46	2	posterior	posterior	ADJ
iajs-1072	46	3	distribution	distribution	NOUN
iajs-1072	46	4	using	use	VERB
iajs-1072	46	5	different	different	ADJ
iajs-1072	46	6	priors	prior	NOUN
iajs-1072	46	7	it	it	PRON
iajs-1072	46	8	is	be	AUX
iajs-1072	46	9	assumed	assume	VERB
iajs-1072	46	10	that	that	SCONJ
iajs-1072	46	11	θ	θ	PROPN
iajs-1072	46	12	follows	follow	VERB
iajs-1072	46	13	four	four	NUM
iajs-1072	46	14	types	type	NOUN
iajs-1072	46	15	of	of	ADP
iajs-1072	46	16	prior	prior	ADJ
iajs-1072	46	17	distributions	distribution	NOUN
iajs-1072	46	18	with	with	ADP
iajs-1072	46	19	pdf	pdf	NOUN
iajs-1072	46	20	as	as	SCONJ
iajs-1072	46	21	given	give	VERB
iajs-1072	46	22	in	in	ADP
iajs-1072	46	23	table	table	NOUN
iajs-1072	46	24	below	below	ADV
iajs-1072	46	25	:	:	PUNCT
iajs-1072	46	26	the	the	DET
iajs-1072	46	27	four	four	NUM
iajs-1072	46	28	types	type	NOUN
iajs-1072	46	29	of	of	ADP
iajs-1072	46	30	prior	prior	ADJ
iajs-1072	46	31	distributions	distribution	NOUN
iajs-1072	46	32	(	(	PUNCT
iajs-1072	46	33	)	)	PUNCT
iajs-1072	46	34	θ	θ	PROPN
iajs-1072	46	35	p	p	X
iajs-1072	46	36	(	(	PUNCT
iajs-1072	46	37	)	)	PUNCT
iajs-1072	46	38	with	with	ADP
iajs-1072	46	39	pdf	pdf	NOUN
iajs-1072	46	40	forθ	forθ	NOUN
iajs-1072	46	41	.	.	PUNCT
iajs-1072	47	1	prior	prior	ADJ
iajs-1072	47	2	distribution	distribution	NOUN
iajs-1072	47	3	)	)	PUNCT
iajs-1072	48	1	θ	θ	PROPN
iajs-1072	48	2	p	p	X
iajs-1072	48	3	(	(	PUNCT
iajs-1072	48	4	θ	θ	PROPN
iajs-1072	48	5	~inverse	~inverse	PUNCT
iajs-1072	48	6	chi	chi	ADJ
iajs-1072	48	7	-	-	PUNCT
iajs-1072	48	8	square	square	ADJ
iajs-1072	48	9	(	(	PUNCT
iajs-1072	48	10	v	v	NOUN
iajs-1072	48	11	)	)	PUNCT
iajs-1072	48	12	0θ	0θ	NOUN
iajs-1072	48	13	for	for	ADP
iajs-1072	48	14	v	v	NOUN
iajs-1072	48	15	,	,	PUNCT
iajs-1072	48	16	)	)	PUNCT
iajs-1072	48	17	2θ	2θ	NUM
iajs-1072	48	18	1	1	NUM
iajs-1072	48	19	exp	exp	NOUN
iajs-1072	48	20	(	(	PUNCT
iajs-1072	48	21	θ	θ	PROPN
iajs-1072	48	22	2	2	NUM
iajs-1072	48	23	1	1	NUM
iajs-1072	48	24	)	)	PUNCT
iajs-1072	49	1	θ	θ	PROPN
iajs-1072	50	1	p	p	X
iajs-1072	50	2	(	(	PUNCT
iajs-1072	50	3	1	1	NUM
iajs-1072	50	4	2	2	NUM
iajs-1072	50	5	v	v	ADP
iajs-1072	50	6	2	2	NUM
iajs-1072	50	7	v	v	ADP
iajs-1072	50	8	α	α	NOUN
iajs-1072	50	9			ADJ
iajs-1072	50	10			PROPN
iajs-1072	50	11	θ	θ	PROPN
iajs-1072	50	12	~inverted	~inverte	VERB
iajs-1072	50	13	gamma	gamma	NOUN
iajs-1072	50	14	(	(	PUNCT
iajs-1072	50	15	β	β	X
iajs-1072	50	16	α	α	NOUN
iajs-1072	50	17	,	,	PUNCT
iajs-1072	50	18	)	)	PUNCT
iajs-1072	50	19	0θ	0θ	NOUN
iajs-1072	50	20	β	β	PROPN
iajs-1072	50	21	,	,	PUNCT
iajs-1072	50	22	α	α	NOUN
iajs-1072	50	23	,	,	PUNCT
iajs-1072	50	24	for	for	ADP
iajs-1072	50	25	)	)	PUNCT
iajs-1072	50	26	θ	θ	PROPN
iajs-1072	50	27	β	β	X
iajs-1072	50	28	exp	exp	PROPN
iajs-1072	50	29	(	(	PUNCT
iajs-1072	50	30	1)(αθ	1)(αθ	NUM
iajs-1072	50	31	γα	γα	ADP
iajs-1072	50	32	αβ	αβ	PROPN
iajs-1072	50	33	)	)	PUNCT
iajs-1072	51	1	θ	θ	PROPN
iajs-1072	51	2	p	p	X
iajs-1072	51	3	(	(	PUNCT
iajs-1072	51	4	α	α	PROPN
iajs-1072	51	5			PROPN
iajs-1072	51	6			PROPN
iajs-1072	51	7	θ	θ	PROPN
iajs-1072	51	8	~improper	~improper	PUNCT
iajs-1072	51	9	(	(	PUNCT
iajs-1072	51	10	ba	ba	PROPN
iajs-1072	51	11	,	,	PUNCT
iajs-1072	51	12	)	)	PUNCT
iajs-1072	51	13			VERB
iajs-1072	51	14			PROPN
iajs-1072	51	15			PROPN
iajs-1072	51	16	a	a	PRON
iajs-1072	51	17	and	and	CCONJ
iajs-1072	51	18	0θ	0θ	ADJ
iajs-1072	51	19	b	b	PROPN
iajs-1072	51	20	,	,	PUNCT
iajs-1072	51	21	for	for	ADP
iajs-1072	51	22	)	)	PUNCT
iajs-1072	51	23	θ	θ	PROPN
iajs-1072	51	24	b	b	X
iajs-1072	51	25	exp	exp	NOUN
iajs-1072	51	26	(	(	PUNCT
iajs-1072	51	27	1)(aθ	1)(aθ	NUM
iajs-1072	51	28	)	)	PUNCT
iajs-1072	51	29	θ	θ	PROPN
iajs-1072	52	1	p	p	X
iajs-1072	52	2	(	(	PUNCT
iajs-1072	52	3	α	α	NOUN
iajs-1072	52	4	θ	θ	NOUN
iajs-1072	52	5	~non	~non	X
iajs-1072	52	6	-	-	PUNCT
iajs-1072	52	7	informative	informative	ADJ
iajs-1072	52	8	(	(	PUNCT
iajs-1072	52	9	c	c	NOUN
iajs-1072	52	10	)	)	PUNCT
iajs-1072	52	11	0	0	NUM
iajs-1072	52	12	c	c	NOUN
iajs-1072	52	13	θ	θ	PROPN
iajs-1072	52	14	,	,	PUNCT
iajs-1072	52	15	for	for	ADP
iajs-1072	52	16	θ	θ	PROPN
iajs-1072	52	17	1	1	NUM
iajs-1072	52	18	)	)	PUNCT
iajs-1072	52	19	θ	θ	PROPN
iajs-1072	53	1	p	p	X
iajs-1072	53	2	(	(	PUNCT
iajs-1072	53	3	c	c	NOUN
iajs-1072	53	4	α	α	NOUN
iajs-1072	53	5			VERB
iajs-1072	53	6	then	then	ADV
iajs-1072	53	7	the	the	DET
iajs-1072	53	8	posterior	posterior	ADJ
iajs-1072	53	9	distribution	distribution	NOUN
iajs-1072	53	10	of	of	ADP
iajs-1072	53	11	given	give	VERB
iajs-1072	53	12	data	datum	NOUN
iajs-1072	53	13	)	)	PUNCT
iajs-1072	53	14	nt	not	PART
iajs-1072	53	15	,	,	PUNCT
iajs-1072	53	16	...	...	PUNCT
iajs-1072	53	17	,	,	PUNCT
iajs-1072	53	18	t	t	X
iajs-1072	53	19	,	,	PUNCT
iajs-1072	53	20	t(t	t(t	NOUN
iajs-1072	53	21	21	21	NUM
iajs-1072	53	22	is	be	AUX
iajs-1072	53	23	:	:	PUNCT
iajs-1072	53	24	)	)	PUNCT
iajs-1072	53	25	5	5	NUM
iajs-1072	53	26	...	...	PUNCT
iajs-1072	53	27	(	(	PUNCT
iajs-1072	53	28	)	)	PUNCT
iajs-1072	53	29	dθ	dθ	PROPN
iajs-1072	53	30	θ	θ	PROPN
iajs-1072	54	1	p	p	X
iajs-1072	54	2	(	(	PUNCT
iajs-1072	54	3	θ)\tl	θ)\tl	PROPN
iajs-1072	54	4	(	(	PUNCT
iajs-1072	54	5	θ	θ	PROPN
iajs-1072	54	6	)	)	PUNCT
iajs-1072	54	7	θ	θ	PROPN
iajs-1072	55	1	p	p	X
iajs-1072	55	2	(	(	PUNCT
iajs-1072	55	3	θ)\tl	θ)\tl	PROPN
iajs-1072	55	4	(	(	PUNCT
iajs-1072	55	5	t	t	PROPN
iajs-1072	55	6	)	)	PUNCT
iajs-1072	55	7	\θ	\θ	NOUN
iajs-1072	55	8	p	p	X
iajs-1072	55	9	(	(	PUNCT
iajs-1072	55	10			NOUN
iajs-1072	55	11			NUM
iajs-1072	55	12	substituting	substitute	VERB
iajs-1072	55	13	the	the	DET
iajs-1072	55	14	equation	equation	NOUN
iajs-1072	55	15	(	(	PUNCT
iajs-1072	55	16	4	4	NUM
iajs-1072	55	17	)	)	PUNCT
iajs-1072	55	18	and	and	CCONJ
iajs-1072	55	19	for	for	ADP
iajs-1072	55	20	each	each	PRON
iajs-1072	55	21	)	)	PUNCT
iajs-1072	56	1	θ	θ	PROPN
iajs-1072	56	2	p	p	X
iajs-1072	56	3	(	(	PUNCT
iajs-1072	56	4	as	as	SCONJ
iajs-1072	56	5	shown	show	VERB
iajs-1072	56	6	in	in	ADP
iajs-1072	56	7	the	the	DET
iajs-1072	56	8	table	table	NOUN
iajs-1072	56	9	above	above	ADV
iajs-1072	56	10	in	in	ADP
iajs-1072	56	11	equation	equation	NOUN
iajs-1072	56	12	(	(	PUNCT
iajs-1072	56	13	5	5	NUM
iajs-1072	56	14	)	)	PUNCT
iajs-1072	56	15	,	,	PUNCT
iajs-1072	56	16	mathematics	mathematic	NOUN
iajs-1072	56	17	|	|	ADV
iajs-1072	56	18	211	211	NUM
iajs-1072	56	19	7102	7102	NUM
iajs-1072	56	20	(	(	PUNCT
iajs-1072	56	21	عام	عام	ADP
iajs-1072	56	22	1العدد	1العدد	NUM
iajs-1072	56	23	)	)	PUNCT
iajs-1072	56	24	30مجلة	30مجلة	NUM
iajs-1072	56	25	إبن	إبن	VERB
iajs-1072	56	26	الهيثم	الهيثم	ADJ
iajs-1072	56	27	للعلوم	للعلوم	NOUN
iajs-1072	56	28	الصرفة	الصرفة	NOUN
iajs-1072	57	1	و	و	PRON
iajs-1072	57	2	التطبيقية	التطبيقية	ADV
iajs-1072	57	3	المجلد	المجلد	VERB
iajs-1072	57	4	ibn	ibn	PROPN
iajs-1072	57	5	al	al	PROPN
iajs-1072	57	6	-	-	PUNCT
iajs-1072	57	7	haitham	haitham	PROPN
iajs-1072	57	8	j.	j.	PROPN
iajs-1072	57	9	for	for	ADP
iajs-1072	57	10	pure	pure	PROPN
iajs-1072	57	11	&	&	CCONJ
iajs-1072	57	12	appl	appl	PROPN
iajs-1072	57	13	.	.	PUNCT
iajs-1072	58	1	sci	sci	PROPN
iajs-1072	58	2	.	.	PUNCT
iajs-1072	58	3	vol	vol	NOUN
iajs-1072	58	4	.	.	PROPN
iajs-1072	58	5	30	30	NUM
iajs-1072	58	6	(	(	PUNCT
iajs-1072	58	7	1	1	NUM
iajs-1072	58	8	)	)	PUNCT
iajs-1072	58	9	2017	2017	NUM
iajs-1072	58	10	we	we	PRON
iajs-1072	58	11	get	get	VERB
iajs-1072	58	12	the	the	DET
iajs-1072	58	13	posterior	posterior	ADJ
iajs-1072	58	14	distributions	distribution	NOUN
iajs-1072	58	15	for	for	ADP
iajs-1072	58	16	the	the	DET
iajs-1072	58	17	unknown	unknown	ADJ
iajs-1072	58	18	parameter	parameter	NOUN
iajs-1072	58	19	θ	θ	PROPN
iajs-1072	58	20	are	be	AUX
iajs-1072	58	21	derived	derive	VERB
iajs-1072	58	22	using	use	VERB
iajs-1072	58	23	the	the	DET
iajs-1072	58	24	following	follow	VERB
iajs-1072	58	25	four	four	NUM
iajs-1072	58	26	types	type	NOUN
iajs-1072	58	27	of	of	ADP
iajs-1072	58	28	priors	prior	NOUN
iajs-1072	58	29	(	(	PUNCT
iajs-1072	58	30	for	for	ADP
iajs-1072	58	31	more	more	ADJ
iajs-1072	58	32	details	detail	NOUN
iajs-1072	58	33	see	see	VERB
iajs-1072	58	34	appendix	appendix	NOUN
iajs-1072	58	35	-	-	PUNCT
iajs-1072	58	36	a	a	NOUN
iajs-1072	58	37	)	)	PUNCT
iajs-1072	58	38	.	.	PUNCT
iajs-1072	59	1	the	the	DET
iajs-1072	59	2	posterior	posterior	ADJ
iajs-1072	59	3	distributions	distribution	NOUN
iajs-1072	59	4	(	(	PUNCT
iajs-1072	59	5	t	t	NOUN
iajs-1072	59	6	)	)	PUNCT
iajs-1072	59	7	\θ	\θ	NOUN
iajs-1072	59	8	p	p	NOUN
iajs-1072	59	9	(	(	PUNCT
iajs-1072	59	10	)	)	PUNCT
iajs-1072	59	11	for	for	ADP
iajs-1072	59	12	the	the	DET
iajs-1072	59	13	unknown	unknown	ADJ
iajs-1072	59	14	parameter	parameter	NOUN
iajs-1072	59	15	(	(	PUNCT
iajs-1072	59	16	θ	θ	NOUN
iajs-1072	59	17	)	)	PUNCT
iajs-1072	59	18	are	be	AUX
iajs-1072	59	19	derived	derive	VERB
iajs-1072	59	20	using	use	VERB
iajs-1072	59	21	the	the	DET
iajs-1072	59	22	following	follow	VERB
iajs-1072	59	23	four	four	NUM
iajs-1072	59	24	types	type	NOUN
iajs-1072	59	25	of	of	ADP
iajs-1072	59	26	priors	prior	NOUN
iajs-1072	59	27	.	.	PUNCT
iajs-1072	60	1	prior	prior	ADJ
iajs-1072	60	2	distn	distn	NOUN
iajs-1072	60	3	.	.	PUNCT
iajs-1072	61	1	the	the	DET
iajs-1072	61	2	posterior	posterior	ADJ
iajs-1072	61	3	distribution	distribution	NOUN
iajs-1072	61	4	(	(	PUNCT
iajs-1072	61	5	t	t	NOUN
iajs-1072	61	6	)	)	PUNCT
iajs-1072	61	7	\θ	\θ	NOUN
iajs-1072	61	8	p	p	NOUN
iajs-1072	61	9	(	(	PUNCT
iajs-1072	61	10	)	)	PUNCT
iajs-1072	61	11	inverse	inverse	NOUN
iajs-1072	61	12	chisquare	chisquare	NOUN
iajs-1072	61	13	pdf	pdf	NOUN
iajs-1072	61	14	with	with	ADP
iajs-1072	61	15	)	)	PUNCT
iajs-1072	61	16	)	)	PUNCT
iajs-1072	61	17	2	2	NUM
iajs-1072	61	18	1	1	NUM
iajs-1072	61	19	t	t	NOUN
iajs-1072	61	20	(	(	PUNCT
iajs-1072	61	21	β	β	NOUN
iajs-1072	61	22	)	)	PUNCT
iajs-1072	61	23	,	,	PUNCT
iajs-1072	61	24	2	2	NUM
iajs-1072	61	25	(	(	PUNCT
iajs-1072	61	26	nα	nα	PROPN
iajs-1072	61	27	(	(	PUNCT
iajs-1072	61	28	gamma	gamma	PROPN
iajs-1072	61	29	inverted	invert	VERB
iajs-1072	61	30	~	~	PROPN
iajs-1072	61	31	t	t	NOUN
iajs-1072	61	32	)	)	PUNCT
iajs-1072	61	33	)	)	PUNCT
iajs-1072	62	1	\θ	\θ	NOUN
iajs-1072	62	2	(	(	PUNCT
iajs-1072	62	3	p	p	X
iajs-1072	62	4	i	i	PROPN
iajs-1072	62	5	n	n	PROPN
iajs-1072	62	6	1i(new)(new)1	1i(new)(new)1	NUM
iajs-1072	62	7			ADJ
iajs-1072	62	8			NOUN
iajs-1072	62	9	v	v	ADP
iajs-1072	62	10	0θ	0θ	NOUN
iajs-1072	62	11	v,,n	v,,n	NOUN
iajs-1072	62	12	)	)	PUNCT
iajs-1072	62	13	)	)	PUNCT
iajs-1072	62	14	2	2	NUM
iajs-1072	62	15	1	1	NUM
iajs-1072	62	16	t	t	PROPN
iajs-1072	62	17	(	(	PUNCT
iajs-1072	62	18	θ	θ	PROPN
iajs-1072	62	19	1	1	NUM
iajs-1072	62	20	exp(-θ	exp(-θ	NOUN
iajs-1072	62	21	)	)	PUNCT
iajs-1072	62	22	2	2	NUM
iajs-1072	62	23	v	v	NOUN
iajs-1072	62	24	γ(n	γ(n	X
iajs-1072	62	25	)	)	PUNCT
iajs-1072	62	26	2	2	NUM
iajs-1072	62	27	1	1	NUM
iajs-1072	62	28	i	i	NOUN
iajs-1072	62	29	tn	tn	NOUN
iajs-1072	62	30	1i	1i	NOUN
iajs-1072	62	31	(	(	PUNCT
iajs-1072	62	32	t	t	NOUN
iajs-1072	62	33	)	)	PUNCT
iajs-1072	62	34	\(θp	\(θp	ADV
iajs-1072	62	35	i	i	PRON
iajs-1072	62	36	n	n	PROPN
iajs-1072	62	37	1i1	1i1	NUM
iajs-1072	62	38	1	1	NUM
iajs-1072	62	39	]	]	PUNCT
iajs-1072	62	40	)	)	PUNCT
iajs-1072	62	41	2	2	NUM
iajs-1072	62	42	v[(n	v[(n	NOUN
iajs-1072	62	43	)	)	PUNCT
iajs-1072	62	44	2	2	NUM
iajs-1072	62	45	v	v	NOUN
iajs-1072	62	46	(	(	PUNCT
iajs-1072	62	47	n	n	CCONJ
iajs-1072	62	48			PROPN
iajs-1072	62	49			PROPN
iajs-1072	62	50			PUNCT
iajs-1072	62	51			VERB
iajs-1072	62	52			PROPN
iajs-1072	62	53			NUM
iajs-1072	62	54			PROPN
iajs-1072	62	55			PROPN
iajs-1072	62	56			ADJ
iajs-1072	62	57	inverted	invert	VERB
iajs-1072	62	58	gamma	gamma	NOUN
iajs-1072	62	59	pdf	pdf	NOUN
iajs-1072	62	60	with	with	ADP
iajs-1072	62	61	)	)	PUNCT
iajs-1072	62	62	β)t	β)t	PUNCT
iajs-1072	62	63	(	(	PUNCT
iajs-1072	62	64	β	β	X
iajs-1072	62	65	α),(nα	α),(nα	PROPN
iajs-1072	62	66	(	(	PUNCT
iajs-1072	62	67	gamma	gamma	PROPN
iajs-1072	62	68	inverted	invert	VERB
iajs-1072	62	69	~	~	PROPN
iajs-1072	62	70	t	t	NOUN
iajs-1072	62	71	)	)	PUNCT
iajs-1072	62	72	)	)	PUNCT
iajs-1072	62	73	\θ	\θ	NOUN
iajs-1072	62	74	(	(	PUNCT
iajs-1072	62	75	p	p	X
iajs-1072	62	76	i	i	PROPN
iajs-1072	62	77	n	n	PROPN
iajs-1072	62	78	1i(new)(new)2	1i(new)(new)2	NUM
iajs-1072	62	79			PUNCT
iajs-1072	62	80			NUM
iajs-1072	62	81	0θ	0θ	NOUN
iajs-1072	62	82	α	α	NOUN
iajs-1072	62	83	,	,	PUNCT
iajs-1072	62	84	β	β	X
iajs-1072	62	85	,	,	PUNCT
iajs-1072	62	86	n	n	CCONJ
iajs-1072	62	87	,	,	PUNCT
iajs-1072	62	88	α)γ(n	α)γ(n	X
iajs-1072	62	89	β	β	X
iajs-1072	62	90	)	)	PUNCT
iajs-1072	62	91	)	)	PUNCT
iajs-1072	63	1	i	i	PRON
iajs-1072	63	2	tn	tn	VERB
iajs-1072	64	1	i	i	PRON
iajs-1072	64	2	(	(	PUNCT
iajs-1072	64	3	θ	θ	PROPN
iajs-1072	64	4	1	1	NUM
iajs-1072	64	5	exp	exp	NOUN
iajs-1072	64	6	(	(	PUNCT
iajs-1072	64	7	1]α)[(nθ	1]α)[(nθ	NUM
iajs-1072	64	8	)	)	PUNCT
iajs-1072	64	9	β	β	PROPN
iajs-1072	65	1	i	i	PRON
iajs-1072	65	2	tn	tn	PROPN
iajs-1072	66	1	i	i	PRON
iajs-1072	66	2	(	(	PUNCT
iajs-1072	66	3	t	t	PROPN
iajs-1072	66	4	)	)	PUNCT
iajs-1072	66	5	\(θp	\(θp	ADV
iajs-1072	66	6	11	11	NUM
iajs-1072	66	7	)	)	PUNCT
iajs-1072	66	8	α(n	α(n	NOUN
iajs-1072	66	9	2	2	NUM
iajs-1072	66	10			PROPN
iajs-1072	66	11			CCONJ
iajs-1072	66	12			VERB
iajs-1072	66	13			PROPN
iajs-1072	66	14			PROPN
iajs-1072	66	15			NOUN
iajs-1072	67	1			PROPN
iajs-1072	67	2			PROPN
iajs-1072	67	3			ADJ
iajs-1072	67	4	improper	improper	ADJ
iajs-1072	67	5	pdf	pdf	NOUN
iajs-1072	67	6	with	with	ADP
iajs-1072	67	7	)	)	PUNCT
iajs-1072	67	8	b)t	b)t	NOUN
iajs-1072	67	9	(	(	PUNCT
iajs-1072	67	10	β	β	X
iajs-1072	67	11	a),(nα	a),(nα	NOUN
iajs-1072	67	12	(	(	PUNCT
iajs-1072	67	13	gamma	gamma	PROPN
iajs-1072	67	14	inverted	invert	VERB
iajs-1072	67	15	~	~	PROPN
iajs-1072	67	16	t	t	NOUN
iajs-1072	67	17	)	)	PUNCT
iajs-1072	67	18	)	)	PUNCT
iajs-1072	68	1	\θ	\θ	NOUN
iajs-1072	68	2	(	(	PUNCT
iajs-1072	68	3	p	p	X
iajs-1072	68	4	i	i	PROPN
iajs-1072	68	5	n	n	PROPN
iajs-1072	68	6	1i(new)(new)3	1i(new)(new)3	NUM
iajs-1072	68	7			X
iajs-1072	68	8			PRON
iajs-1072	68	9			PROPN
iajs-1072	68	10			ADJ
iajs-1072	68	11			VERB
iajs-1072	68	12			PROPN
iajs-1072	68	13			PROPN
iajs-1072	68	14			NOUN
iajs-1072	68	15			PROPN
iajs-1072	68	16			NOUN
iajs-1072	68	17			ADJ
iajs-1072	68	18	a	a	DET
iajs-1072	68	19	and	and	CCONJ
iajs-1072	68	20	0θ	0θ	ADJ
iajs-1072	68	21	b	b	PROPN
iajs-1072	68	22	,	,	PUNCT
iajs-1072	68	23	n	n	CCONJ
iajs-1072	68	24	,	,	PUNCT
iajs-1072	68	25	a)γ(n	a)γ(n	NOUN
iajs-1072	68	26	b	b	NOUN
iajs-1072	68	27	)	)	PUNCT
iajs-1072	68	28	)	)	PUNCT
iajs-1072	69	1	i	i	PRON
iajs-1072	69	2	xn	xn	VERB
iajs-1072	70	1	i	i	PRON
iajs-1072	70	2	(	(	PUNCT
iajs-1072	70	3	θ	θ	PROPN
iajs-1072	70	4	1	1	NUM
iajs-1072	70	5	exp	exp	NOUN
iajs-1072	70	6	(	(	PUNCT
iajs-1072	70	7	1]a)[(nθ	1]a)[(nθ	PROPN
iajs-1072	70	8	)	)	PUNCT
iajs-1072	70	9	b	b	NOUN
iajs-1072	71	1	i	i	PRON
iajs-1072	71	2	xn	xn	PROPN
iajs-1072	72	1	i	i	PRON
iajs-1072	72	2	(	(	PUNCT
iajs-1072	72	3	x	x	X
iajs-1072	72	4	)	)	PUNCT
iajs-1072	72	5	\(θp	\(θp	ADV
iajs-1072	72	6	11	11	NUM
iajs-1072	72	7	)	)	PUNCT
iajs-1072	72	8	a(n	a(n	ADP
iajs-1072	72	9	3	3	NUM
iajs-1072	72	10	noninformative	noninformative	PROPN
iajs-1072	72	11	pdf	pdf	NOUN
iajs-1072	72	12	with	with	ADP
iajs-1072	72	13	)	)	PUNCT
iajs-1072	72	14	)	)	PUNCT
iajs-1072	73	1	t	t	PROPN
iajs-1072	73	2	(	(	PUNCT
iajs-1072	73	3	β	β	NOUN
iajs-1072	73	4	)	)	PUNCT
iajs-1072	73	5	,	,	PUNCT
iajs-1072	73	6	1c(nα	1c(nα	NUM
iajs-1072	73	7	(	(	PUNCT
iajs-1072	73	8	gamma	gamma	PROPN
iajs-1072	73	9	inverted	invert	VERB
iajs-1072	73	10	~	~	PROPN
iajs-1072	73	11	t	t	NOUN
iajs-1072	73	12	)	)	PUNCT
iajs-1072	73	13	)	)	PUNCT
iajs-1072	74	1	\θ	\θ	NOUN
iajs-1072	74	2	(	(	PUNCT
iajs-1072	74	3	p	p	X
iajs-1072	74	4	i	i	PRON
iajs-1072	74	5	n	n	PROPN
iajs-1072	74	6	1i(new)(new)4	1i(new)(new)4	NUM
iajs-1072	74	7			NUM
iajs-1072	74	8			PROPN
iajs-1072	74	9	0θ	0θ	NOUN
iajs-1072	74	10	,	,	PUNCT
iajs-1072	74	11	c	c	PROPN
iajs-1072	74	12	n	n	CCONJ
iajs-1072	74	13	,	,	PUNCT
iajs-1072	74	14	1)-cγ(n	1)-cγ(n	NUM
iajs-1072	74	15	)	)	PUNCT
iajs-1072	75	1	i	i	PRON
iajs-1072	75	2	tn	tn	VERB
iajs-1072	75	3	iθ	iθ	VERB
iajs-1072	75	4	1	1	NUM
iajs-1072	75	5	exp	exp	NOUN
iajs-1072	75	6	(	(	PUNCT
iajs-1072	75	7	1]1)-c[(nθ	1]1)-c[(nθ	NUM
iajs-1072	75	8	)	)	PUNCT
iajs-1072	76	1	i	i	PRON
iajs-1072	76	2	tn	tn	VERB
iajs-1072	77	1	i	i	PRON
iajs-1072	77	2	(	(	PUNCT
iajs-1072	77	3	t	t	PROPN
iajs-1072	77	4	)	)	PUNCT
iajs-1072	77	5	\θ	\θ	NOUN
iajs-1072	77	6	(	(	PUNCT
iajs-1072	77	7	p	p	NOUN
iajs-1072	77	8	11	11	NUM
iajs-1072	77	9	)	)	SYM
iajs-1072	77	10	1	1	NUM
iajs-1072	77	11	-	-	NUM
iajs-1072	77	12	c(n	c(n	PROPN
iajs-1072	77	13	4	4	NUM
iajs-1072	77	14			NOUN
iajs-1072	77	15			PUNCT
iajs-1072	77	16			X
iajs-1072	78	1			PROPN
iajs-1072	78	2			PROPN
iajs-1072	78	3			X
iajs-1072	79	1			NUM
iajs-1072	79	2			ADV
iajs-1072	79	3			ADJ
iajs-1072	79	4	2bayes	2bayes	NUM
iajs-1072	79	5	'	'	PART
iajs-1072	79	6	estimators	estimator	NOUN
iajs-1072	79	7	bayes	baye	NOUN
iajs-1072	79	8	'	'	PART
iajs-1072	79	9	estimators	estimator	NOUN
iajs-1072	79	10	for	for	ADP
iajs-1072	79	11	reliability	reliability	NOUN
iajs-1072	79	12	function	function	NOUN
iajs-1072	79	13	(	(	PUNCT
iajs-1072	79	14	r=	r=	ADJ
iajs-1072	79	15	r(t	r(t	NOUN
iajs-1072	79	16	)	)	PUNCT
iajs-1072	79	17	)	)	PUNCT
iajs-1072	79	18	,	,	PUNCT
iajs-1072	79	19	was	be	AUX
iajs-1072	79	20	considered	consider	VERB
iajs-1072	79	21	with	with	ADP
iajs-1072	79	22	four	four	NUM
iajs-1072	79	23	different	different	ADJ
iajs-1072	79	24	priors	prior	NOUN
iajs-1072	79	25	and	and	CCONJ
iajs-1072	79	26	under	under	ADP
iajs-1072	79	27	two	two	NUM
iajs-1072	79	28	loss	loss	NOUN
iajs-1072	79	29	functions	function	NOUN
iajs-1072	79	30	proposed	propose	VERB
iajs-1072	79	31	:	:	PUNCT
iajs-1072	79	32	1	1	X
iajs-1072	79	33	.	.	PUNCT
iajs-1072	79	34	the	the	DET
iajs-1072	79	35	first	first	ADJ
iajs-1072	79	36	proposed	propose	VERB
iajs-1072	79	37	loss	loss	NOUN
iajs-1072	79	38	function	function	NOUN
iajs-1072	79	39	2	2	NUM
iajs-1072	79	40	1	1	NUM
iajs-1072	79	41	lnr	lnr	PROPN
iajs-1072	79	42	)	)	PUNCT
iajs-1072	79	43	rln	rln	NOUN
iajs-1072	79	44	(	(	PUNCT
iajs-1072	79	45	r	r	NOUN
iajs-1072	79	46	)	)	PUNCT
iajs-1072	79	47	,	,	PUNCT
iajs-1072	79	48	r	r	NOUN
iajs-1072	79	49	(	(	PUNCT
iajs-1072	79	50	l	l	NOUN
iajs-1072	79	51	^^	^^	PUNCT
iajs-1072	79	52			NUM
iajs-1072	79	53	.	.	PUNCT
iajs-1072	80	1	2	2	X
iajs-1072	80	2	.	.	X
iajs-1072	80	3	the	the	DET
iajs-1072	80	4	second	second	ADJ
iajs-1072	80	5	proposed	propose	VERB
iajs-1072	80	6	loss	loss	NOUN
iajs-1072	80	7	function	function	NOUN
iajs-1072	80	8	lnr	lnr	PROPN
iajs-1072	80	9	lnr	lnr	PROPN
iajs-1072	80	10	)	)	PUNCT
iajs-1072	80	11	lnr	lnr	PROPN
iajs-1072	80	12	(	(	PUNCT
iajs-1072	80	13	r	r	NOUN
iajs-1072	80	14	)	)	PUNCT
iajs-1072	80	15	,	,	PUNCT
iajs-1072	80	16	r	r	NOUN
iajs-1072	80	17	(	(	PUNCT
iajs-1072	80	18	l	l	NOUN
iajs-1072	80	19	2	2	NUM
iajs-1072	80	20	2	2	NUM
iajs-1072	80	21	^	^	PUNCT
iajs-1072	80	22	^	^	PUNCT
iajs-1072	81	1			NUM
iajs-1072	81	2	.	.	PUNCT
iajs-1072	82	1	where	where	SCONJ
iajs-1072	82	2	^	^	PUNCT
iajs-1072	82	3	r	r	NOUN
iajs-1072	82	4	an	an	DET
iajs-1072	82	5	estimator	estimator	NOUN
iajs-1072	82	6	for	for	ADP
iajs-1072	82	7	is	be	AUX
iajs-1072	82	8	r	r	NOUN
iajs-1072	82	9	,	,	PUNCT
iajs-1072	82	10	was	be	AUX
iajs-1072	82	11	considered	consider	VERB
iajs-1072	82	12	with	with	ADP
iajs-1072	82	13	different	different	ADJ
iajs-1072	82	14	four	four	NUM
iajs-1072	82	15	priors	prior	NOUN
iajs-1072	82	16	,	,	PUNCT
iajs-1072	82	17	and	and	CCONJ
iajs-1072	82	18	under	under	ADP
iajs-1072	82	19	two	two	NUM
iajs-1072	82	20	loss	loss	NOUN
iajs-1072	82	21	functions	function	NOUN
iajs-1072	82	22	proposed	propose	VERB
iajs-1072	82	23	.	.	PUNCT
iajs-1072	83	1	the	the	DET
iajs-1072	83	2	following	follow	VERB
iajs-1072	83	3	is	be	AUX
iajs-1072	83	4	the	the	DET
iajs-1072	83	5	derivation	derivation	NOUN
iajs-1072	83	6	of	of	ADP
iajs-1072	83	7	these	these	DET
iajs-1072	83	8	estimators	estimator	NOUN
iajs-1072	83	9	:	:	PUNCT
iajs-1072	83	10	the	the	DET
iajs-1072	83	11	first	first	ADJ
iajs-1072	83	12	proposed	propose	VERB
iajs-1072	83	13	loss	loss	NOUN
iajs-1072	83	14	function	function	NOUN
iajs-1072	83	15	mathematics	mathematic	NOUN
iajs-1072	83	16	|	|	ADV
iajs-1072	83	17	212	212	NUM
iajs-1072	83	18	7102	7102	NUM
iajs-1072	83	19	(	(	PUNCT
iajs-1072	83	20	عام	عام	ADP
iajs-1072	83	21	1العدد	1العدد	NUM
iajs-1072	83	22	)	)	PUNCT
iajs-1072	83	23	30مجلة	30مجلة	NUM
iajs-1072	83	24	إبن	إبن	VERB
iajs-1072	83	25	الهيثم	الهيثم	ADJ
iajs-1072	83	26	للعلوم	للعلوم	NOUN
iajs-1072	83	27	الصرفة	الصرفة	NOUN
iajs-1072	84	1	و	و	PRON
iajs-1072	84	2	التطبيقية	التطبيقية	ADV
iajs-1072	84	3	المجلد	المجلد	VERB
iajs-1072	84	4	ibn	ibn	PROPN
iajs-1072	84	5	al	al	PROPN
iajs-1072	84	6	-	-	PUNCT
iajs-1072	84	7	haitham	haitham	PROPN
iajs-1072	84	8	j.	j.	PROPN
iajs-1072	84	9	for	for	ADP
iajs-1072	84	10	pure	pure	PROPN
iajs-1072	84	11	&	&	CCONJ
iajs-1072	84	12	appl	appl	PROPN
iajs-1072	84	13	.	.	PUNCT
iajs-1072	85	1	sci	sci	PROPN
iajs-1072	85	2	.	.	PUNCT
iajs-1072	85	3	vol	vol	NOUN
iajs-1072	85	4	.	.	PROPN
iajs-1072	85	5	30	30	NUM
iajs-1072	85	6	(	(	PUNCT
iajs-1072	85	7	1	1	NUM
iajs-1072	85	8	)	)	PUNCT
iajs-1072	85	9	2017	2017	NUM
iajs-1072	85	10	to	to	PART
iajs-1072	85	11	obtain	obtain	VERB
iajs-1072	85	12	the	the	DET
iajs-1072	85	13	bayes	baye	NOUN
iajs-1072	85	14	'	'	PART
iajs-1072	85	15	estimator	estimator	NOUN
iajs-1072	85	16	,	,	PUNCT
iajs-1072	85	17	we	we	PRON
iajs-1072	85	18	minimize	minimize	VERB
iajs-1072	85	19	the	the	DET
iajs-1072	85	20	posterior	posterior	ADJ
iajs-1072	85	21	expected	expect	VERB
iajs-1072	85	22	loss	loss	NOUN
iajs-1072	85	23	given	give	VERB
iajs-1072	85	24	by	by	ADP
iajs-1072	85	25	:	:	PUNCT
iajs-1072	85	26	)	)	PUNCT
iajs-1072	85	27	6	6	NUM
iajs-1072	85	28	(	(	PUNCT
iajs-1072	85	29	...	...	PUNCT
iajs-1072	85	30	)	)	PUNCT
iajs-1072	86	1	lnr	lnr	PROPN
iajs-1072	86	2	rln	rln	NOUN
iajs-1072	86	3	(	(	PUNCT
iajs-1072	86	4	r	r	NOUN
iajs-1072	86	5	)	)	PUNCT
iajs-1072	86	6	,	,	PUNCT
iajs-1072	86	7	r	r	NOUN
iajs-1072	86	8	(	(	PUNCT
iajs-1072	86	9	l	l	NOUN
iajs-1072	86	10	2	2	NUM
iajs-1072	86	11	1	1	NUM
iajs-1072	86	12	^^	^^	SYM
iajs-1072	86	13			NUM
iajs-1072	86	14	after	after	ADP
iajs-1072	86	15	simplified	simplified	ADJ
iajs-1072	86	16	steps	step	NOUN
iajs-1072	86	17	,	,	PUNCT
iajs-1072	86	18	we	we	PRON
iajs-1072	86	19	get	get	VERB
iajs-1072	86	20	bayes	bayes	PROPN
iajs-1072	86	21	estimator	estimator	NOUN
iajs-1072	86	22	of	of	ADP
iajs-1072	86	23	r(t	r(t	NOUN
iajs-1072	86	24	)	)	PUNCT
iajs-1072	86	25	denoted	denote	VERB
iajs-1072	86	26	by	by	ADP
iajs-1072	86	27	)	)	PUNCT
iajs-1072	86	28	t	t	PROPN
iajs-1072	86	29	(	(	PUNCT
iajs-1072	86	30	r	r	NOUN
iajs-1072	86	31	pro.1(i	pro.1(i	NOUN
iajs-1072	86	32	)	)	PUNCT
iajs-1072	86	33	^	^	PUNCT
iajs-1072	86	34	for	for	ADP
iajs-1072	86	35	the	the	DET
iajs-1072	86	36	above	above	ADJ
iajs-1072	86	37	prior	prior	ADV
iajs-1072	86	38	as	as	SCONJ
iajs-1072	86	39	follows	follow	VERB
iajs-1072	86	40	7	7	NUM
iajs-1072	86	41	)	)	PUNCT
iajs-1072	86	42	(	(	PUNCT
iajs-1072	86	43	...	...	PUNCT
iajs-1072	86	44	dθ	dθ	PROPN
iajs-1072	86	45	t	t	PROPN
iajs-1072	86	46	)	)	PUNCT
iajs-1072	86	47	\θ	\θ	NOUN
iajs-1072	87	1	p	p	X
iajs-1072	87	2	(	(	PUNCT
iajs-1072	87	3	r(t)ln	r(t)ln	PROPN
iajs-1072	87	4	exp	exp	NOUN
iajs-1072	87	5	)	)	PUNCT
iajs-1072	87	6	t	t	PROPN
iajs-1072	87	7	(	(	PUNCT
iajs-1072	87	8	r	r	NOUN
iajs-1072	87	9	0	0	NUM
iajs-1072	87	10	pro.1(i	pro.1(i	NOUN
iajs-1072	87	11	)	)	PUNCT
iajs-1072	87	12	^	^	PUNCT
iajs-1072	87	13			PUNCT
iajs-1072	87	14			VERB
iajs-1072	87	15			PRON
iajs-1072	87	16	so	so	ADV
iajs-1072	87	17	,	,	PUNCT
iajs-1072	87	18	the	the	DET
iajs-1072	87	19	following	follow	VERB
iajs-1072	87	20	results	result	NOUN
iajs-1072	87	21	are	be	AUX
iajs-1072	87	22	the	the	DET
iajs-1072	87	23	derivations	derivation	NOUN
iajs-1072	87	24	of	of	ADP
iajs-1072	87	25	these	these	DET
iajs-1072	87	26	estimators	estimator	NOUN
iajs-1072	87	27	under	under	ADP
iajs-1072	87	28	the	the	DET
iajs-1072	87	29	first	first	ADJ
iajs-1072	87	30	proposed	propose	VERB
iajs-1072	87	31	loss	loss	NOUN
iajs-1072	87	32	function	function	NOUN
iajs-1072	87	33	with	with	ADP
iajs-1072	87	34	different	different	ADJ
iajs-1072	87	35	four	four	NUM
iajs-1072	87	36	priors	prior	NOUN
iajs-1072	87	37	(	(	PUNCT
iajs-1072	87	38	for	for	ADP
iajs-1072	87	39	more	more	ADJ
iajs-1072	87	40	details	detail	NOUN
iajs-1072	87	41	see	see	VERB
iajs-1072	87	42	appendix	appendix	NOUN
iajs-1072	87	43	-	-	PUNCT
iajs-1072	87	44	b	b	NOUN
iajs-1072	87	45	)	)	PUNCT
iajs-1072	87	46	.	.	PUNCT
iajs-1072	88	1	the	the	DET
iajs-1072	88	2	estimators	estimator	NOUN
iajs-1072	88	3	(	(	PUNCT
iajs-1072	88	4	)	)	PUNCT
iajs-1072	88	5	t	t	PROPN
iajs-1072	88	6	(	(	PUNCT
iajs-1072	88	7	r	r	NOUN
iajs-1072	88	8	pro.1(i	pro.1(i	NOUN
iajs-1072	88	9	)	)	PUNCT
iajs-1072	88	10	^	^	PUNCT
iajs-1072	88	11	)	)	PUNCT
iajs-1072	88	12	under	under	ADP
iajs-1072	88	13	the	the	DET
iajs-1072	88	14	squared	square	VERB
iajs-1072	88	15	error	error	NOUN
iajs-1072	88	16	loss	loss	NOUN
iajs-1072	88	17	function	function	NOUN
iajs-1072	88	18	with	with	ADP
iajs-1072	88	19	different	different	ADJ
iajs-1072	88	20	four	four	NUM
iajs-1072	88	21	priors	prior	NOUN
iajs-1072	88	22	.	.	PUNCT
iajs-1072	89	1	prior	prior	ADJ
iajs-1072	89	2	distribution	distribution	NOUN
iajs-1072	89	3	)	)	PUNCT
iajs-1072	89	4	dθ	dθ	PROPN
iajs-1072	89	5	t	t	PROPN
iajs-1072	89	6	)	)	PUNCT
iajs-1072	89	7	\θ	\θ	NOUN
iajs-1072	90	1	p	p	X
iajs-1072	90	2	(	(	PUNCT
iajs-1072	90	3	r(t)ln	r(t)ln	NOUN
iajs-1072	90	4	exp	exp	NOUN
iajs-1072	90	5	(	(	PUNCT
iajs-1072	90	6	)	)	PUNCT
iajs-1072	90	7	t	t	PROPN
iajs-1072	90	8	(	(	PUNCT
iajs-1072	90	9	r	r	NOUN
iajs-1072	90	10	0	0	NUM
iajs-1072	90	11	pro.1(i	pro.1(i	NOUN
iajs-1072	90	12	)	)	PUNCT
iajs-1072	90	13	^	^	PUNCT
iajs-1072	90	14			PUNCT
iajs-1072	90	15			VERB
iajs-1072	90	16			NUM
iajs-1072	90	17	inverse	inverse	ADJ
iajs-1072	90	18	chi	chi	NOUN
iajs-1072	90	19	-	-	PUNCT
iajs-1072	90	20	square	square	NOUN
iajs-1072	90	21	0v&n	0v&n	NUM
iajs-1072	90	22	,	,	PUNCT
iajs-1072	90	23	]	]	PUNCT
iajs-1072	90	24	0.5)t	0.5)t	NOUN
iajs-1072	90	25	(	(	PUNCT
iajs-1072	90	26	(	(	PUNCT
iajs-1072	90	27	v/2)γ(n	v/2)γ(n	X
iajs-1072	90	28	1)(v/2)γ(nt	1)(v/2)γ(nt	NUM
iajs-1072	90	29	exp	exp	NOUN
iajs-1072	90	30	[	[	PUNCT
iajs-1072	90	31	)	)	PUNCT
iajs-1072	90	32	t	t	NOUN
iajs-1072	90	33	(	(	PUNCT
iajs-1072	90	34	r	r	NOUN
iajs-1072	90	35	i	i	PRON
iajs-1072	90	36	n	n	PROPN
iajs-1072	90	37	1i	1i	NUM
iajs-1072	90	38	pro.1(1	pro.1(1	NOUN
iajs-1072	90	39	)	)	PUNCT
iajs-1072	90	40	^	^	PUNCT
iajs-1072	90	41			VERB
iajs-1072	90	42			PROPN
iajs-1072	90	43			PROPN
iajs-1072	90	44			NUM
iajs-1072	90	45			PROPN
iajs-1072	90	46	inverted	inverted	ADJ
iajs-1072	90	47	gamma	gamma	NOUN
iajs-1072	90	48	0	0	NUM
iajs-1072	90	49	α	α	PROPN
iajs-1072	90	50	,	,	PUNCT
iajs-1072	90	51	βn	βn	NOUN
iajs-1072	90	52	,	,	PUNCT
iajs-1072	90	53	,	,	PUNCT
iajs-1072	90	54	]	]	PUNCT
iajs-1072	90	55	β)t	β)t	PUNCT
iajs-1072	90	56	(	(	PUNCT
iajs-1072	90	57	)	)	PUNCT
iajs-1072	90	58	αγ(n	αγ(n	X
iajs-1072	90	59	1)αγ(nt	1)αγ(nt	NUM
iajs-1072	90	60	exp	exp	NOUN
iajs-1072	90	61	[	[	PUNCT
iajs-1072	90	62	)	)	PUNCT
iajs-1072	90	63	t	t	NOUN
iajs-1072	90	64	(	(	PUNCT
iajs-1072	90	65	r	r	NOUN
iajs-1072	90	66	i	i	PROPN
iajs-1072	90	67	n	n	PROPN
iajs-1072	90	68	1i	1i	NUM
iajs-1072	90	69	pro.1(2	pro.1(2	NOUN
iajs-1072	90	70	)	)	PUNCT
iajs-1072	90	71	^	^	PUNCT
iajs-1072	90	72			VERB
iajs-1072	90	73			PROPN
iajs-1072	90	74			PROPN
iajs-1072	91	1			NUM
iajs-1072	91	2			PROPN
iajs-1072	91	3	improper	improper	ADJ
iajs-1072	91	4	0	0	PUNCT
iajs-1072	91	5	a	a	PRON
iajs-1072	91	6	,	,	PUNCT
iajs-1072	91	7	bn	bn	ADJ
iajs-1072	91	8	,	,	PUNCT
iajs-1072	91	9	,	,	PUNCT
iajs-1072	91	10	]	]	PUNCT
iajs-1072	91	11	b)t	b)t	X
iajs-1072	91	12	(	(	PUNCT
iajs-1072	91	13	)	)	PUNCT
iajs-1072	91	14	aγ(n	aγ(n	X
iajs-1072	91	15	)	)	PUNCT
iajs-1072	91	16	1	1	NUM
iajs-1072	91	17	aγ(n	aγ(n	NUM
iajs-1072	91	18	t	t	PROPN
iajs-1072	91	19	exp	exp	NOUN
iajs-1072	91	20	[	[	PUNCT
iajs-1072	91	21	)	)	PUNCT
iajs-1072	91	22	t	t	NOUN
iajs-1072	91	23	(	(	PUNCT
iajs-1072	91	24	r	r	NOUN
iajs-1072	91	25	i	i	PROPN
iajs-1072	91	26	n	n	PROPN
iajs-1072	91	27	1i	1i	NOUN
iajs-1072	91	28	pro.1(3	pro.1(3	ADJ
iajs-1072	91	29	)	)	PUNCT
iajs-1072	91	30	^	^	PUNCT
iajs-1072	91	31			VERB
iajs-1072	91	32			PROPN
iajs-1072	91	33			PROPN
iajs-1072	91	34			PROPN
iajs-1072	91	35			NUM
iajs-1072	91	36	non	non	ADJ
iajs-1072	91	37	-	-	ADJ
iajs-1072	91	38	informative	informative	ADJ
iajs-1072	91	39	0	0	PUNCT
iajs-1072	92	1	cn	cn	ADJ
iajs-1072	92	2	,	,	PUNCT
iajs-1072	92	3	,	,	PUNCT
iajs-1072	92	4	]	]	PUNCT
iajs-1072	92	5	t	t	X
iajs-1072	92	6	)	)	PUNCT
iajs-1072	92	7	(	(	PUNCT
iajs-1072	92	8	1	1	NUM
iajs-1072	92	9	-	-	PUNCT
iajs-1072	92	10	cn	cn	NOUN
iajs-1072	92	11	(	(	PUNCT
iajs-1072	92	12	)	)	PUNCT
iajs-1072	92	13	cn(t	cn(t	PUNCT
iajs-1072	92	14	exp	exp	NOUN
iajs-1072	92	15	[	[	PUNCT
iajs-1072	92	16	)	)	PUNCT
iajs-1072	92	17	t	t	NOUN
iajs-1072	92	18	(	(	PUNCT
iajs-1072	92	19	r	r	NOUN
iajs-1072	92	20	)	)	PUNCT
iajs-1072	93	1	i	i	PRON
iajs-1072	93	2	n	n	VERB
iajs-1072	93	3	1i	1i	NUM
iajs-1072	93	4	pro.1(4	pro.1(4	NOUN
iajs-1072	93	5	)	)	PUNCT
iajs-1072	93	6	^	^	PUNCT
iajs-1072	93	7			INTJ
iajs-1072	93	8			X
iajs-1072	94	1			VERB
iajs-1072	95	1			NUM
iajs-1072	96	1			ADJ
iajs-1072	96	2	where	where	SCONJ
iajs-1072	96	3	)	)	PUNCT
iajs-1072	96	4	γ	γ	X
iajs-1072	96	5	(	(	PUNCT
iajs-1072	96	6	.	.	PUNCT
iajs-1072	96	7	is	be	AUX
iajs-1072	96	8	a	a	DET
iajs-1072	96	9	gamma	gamma	NOUN
iajs-1072	96	10	function	function	NOUN
iajs-1072	96	11	.	.	PUNCT
iajs-1072	97	1	-the	-the	DET
iajs-1072	97	2	second	second	ADJ
iajs-1072	97	3	proposed	propose	VERB
iajs-1072	97	4	loss	loss	NOUN
iajs-1072	97	5	function	function	NOUN
iajs-1072	97	6	to	to	PART
iajs-1072	97	7	obtain	obtain	VERB
iajs-1072	97	8	the	the	DET
iajs-1072	97	9	bayes	baye	NOUN
iajs-1072	97	10	'	'	PART
iajs-1072	97	11	estimator	estimator	NOUN
iajs-1072	97	12	,	,	PUNCT
iajs-1072	97	13	we	we	PRON
iajs-1072	97	14	minimize	minimize	VERB
iajs-1072	97	15	the	the	DET
iajs-1072	97	16	posterior	posterior	ADJ
iajs-1072	97	17	expected	expect	VERB
iajs-1072	97	18	loss	loss	NOUN
iajs-1072	97	19	given	give	VERB
iajs-1072	97	20	by	by	ADP
iajs-1072	97	21	:	:	PUNCT
iajs-1072	97	22	)	)	PUNCT
iajs-1072	97	23	8	8	NUM
iajs-1072	97	24	(	(	PUNCT
iajs-1072	97	25	...	...	PUNCT
iajs-1072	97	26	lnr	lnr	PROPN
iajs-1072	97	27	lnr	lnr	PROPN
iajs-1072	97	28	)	)	PUNCT
iajs-1072	97	29	lnr	lnr	PROPN
iajs-1072	97	30	(	(	PUNCT
iajs-1072	97	31	r	r	NOUN
iajs-1072	97	32	)	)	PUNCT
iajs-1072	97	33	,	,	PUNCT
iajs-1072	98	1	r	r	NOUN
iajs-1072	98	2	(	(	PUNCT
iajs-1072	98	3	l	l	NOUN
iajs-1072	98	4	2	2	NUM
iajs-1072	98	5	2	2	NUM
iajs-1072	98	6	^	^	PUNCT
iajs-1072	98	7	^	^	PUNCT
iajs-1072	98	8			NUM
iajs-1072	98	9	after	after	ADP
iajs-1072	98	10	simplified	simplified	ADJ
iajs-1072	98	11	steps	step	NOUN
iajs-1072	98	12	,	,	PUNCT
iajs-1072	98	13	we	we	PRON
iajs-1072	98	14	get	get	VERB
iajs-1072	98	15	bayes	bayes	PROPN
iajs-1072	98	16	estimator	estimator	NOUN
iajs-1072	98	17	of	of	ADP
iajs-1072	98	18	r(t	r(t	NOUN
iajs-1072	98	19	)	)	PUNCT
iajs-1072	98	20	denoted	denote	VERB
iajs-1072	98	21	by	by	ADP
iajs-1072	98	22	)	)	PUNCT
iajs-1072	98	23	t	t	PROPN
iajs-1072	98	24	(	(	PUNCT
iajs-1072	98	25	r	r	NOUN
iajs-1072	98	26	pro2(i	pro2(i	NUM
iajs-1072	98	27	)	)	PUNCT
iajs-1072	98	28	^	^	PUNCT
iajs-1072	98	29	for	for	ADP
iajs-1072	98	30	the	the	DET
iajs-1072	98	31	above	above	ADJ
iajs-1072	98	32	prior	prior	ADV
iajs-1072	98	33	as	as	SCONJ
iajs-1072	98	34	follows	follow	VERB
iajs-1072	98	35	9	9	NUM
iajs-1072	98	36	)	)	PUNCT
iajs-1072	98	37	(	(	PUNCT
iajs-1072	98	38	...	...	PUNCT
iajs-1072	98	39	)	)	PUNCT
iajs-1072	99	1	dθ	dθ	PROPN
iajs-1072	99	2	t	t	PROPN
iajs-1072	99	3	)	)	PUNCT
iajs-1072	99	4	\θ	\θ	NOUN
iajs-1072	99	5	p	p	X
iajs-1072	99	6	(	(	PUNCT
iajs-1072	99	7	r(t)ln	r(t)ln	PROPN
iajs-1072	99	8	1	1	NUM
iajs-1072	99	9	1	1	NUM
iajs-1072	99	10	exp	exp	NOUN
iajs-1072	99	11	(	(	PUNCT
iajs-1072	99	12	)	)	PUNCT
iajs-1072	99	13	t	t	PROPN
iajs-1072	99	14	(	(	PUNCT
iajs-1072	99	15	r	r	NOUN
iajs-1072	99	16	10	10	NUM
iajs-1072	99	17	pro.2(i	pro.2(i	NOUN
iajs-1072	99	18	)	)	PUNCT
iajs-1072	99	19	^	^	PUNCT
iajs-1072	99	20			PUNCT
iajs-1072	100	1			VERB
iajs-1072	100	2			PRON
iajs-1072	100	3	so	so	ADV
iajs-1072	100	4	,	,	PUNCT
iajs-1072	100	5	the	the	DET
iajs-1072	100	6	following	follow	VERB
iajs-1072	100	7	results	result	NOUN
iajs-1072	100	8	are	be	AUX
iajs-1072	100	9	the	the	DET
iajs-1072	100	10	derivations	derivation	NOUN
iajs-1072	100	11	of	of	ADP
iajs-1072	100	12	these	these	DET
iajs-1072	100	13	estimators	estimator	NOUN
iajs-1072	100	14	under	under	ADP
iajs-1072	100	15	the	the	DET
iajs-1072	100	16	second	second	ADJ
iajs-1072	100	17	proposed	propose	VERB
iajs-1072	100	18	loss	loss	NOUN
iajs-1072	100	19	function	function	NOUN
iajs-1072	100	20	with	with	ADP
iajs-1072	100	21	different	different	ADJ
iajs-1072	100	22	four	four	NUM
iajs-1072	100	23	priors	prior	NOUN
iajs-1072	100	24	(	(	PUNCT
iajs-1072	100	25	for	for	ADP
iajs-1072	100	26	more	more	ADJ
iajs-1072	100	27	details	detail	NOUN
iajs-1072	100	28	see	see	VERB
iajs-1072	100	29	appendixc	appendixc	PROPN
iajs-1072	100	30	)	)	PUNCT
iajs-1072	100	31	.	.	PUNCT
iajs-1072	101	1	mathematics	mathematic	NOUN
iajs-1072	101	2	|	|	ADV
iajs-1072	101	3	213	213	NUM
iajs-1072	101	4	7102	7102	NUM
iajs-1072	101	5	(	(	PUNCT
iajs-1072	101	6	عام	عام	ADP
iajs-1072	101	7	1العدد	1العدد	NUM
iajs-1072	101	8	)	)	PUNCT
iajs-1072	101	9	30مجلة	30مجلة	NUM
iajs-1072	101	10	إبن	إبن	VERB
iajs-1072	101	11	الهيثم	الهيثم	ADJ
iajs-1072	101	12	للعلوم	للعلوم	NOUN
iajs-1072	101	13	الصرفة	الصرفة	NOUN
iajs-1072	102	1	و	و	PRON
iajs-1072	102	2	التطبيقية	التطبيقية	ADV
iajs-1072	102	3	المجلد	المجلد	VERB
iajs-1072	102	4	ibn	ibn	PROPN
iajs-1072	102	5	al	al	PROPN
iajs-1072	102	6	-	-	PUNCT
iajs-1072	102	7	haitham	haitham	PROPN
iajs-1072	102	8	j.	j.	PROPN
iajs-1072	102	9	for	for	ADP
iajs-1072	102	10	pure	pure	PROPN
iajs-1072	102	11	&	&	CCONJ
iajs-1072	102	12	appl	appl	PROPN
iajs-1072	102	13	.	.	PUNCT
iajs-1072	103	1	sci	sci	PROPN
iajs-1072	103	2	.	.	PUNCT
iajs-1072	103	3	vol	vol	NOUN
iajs-1072	103	4	.	.	PROPN
iajs-1072	103	5	30	30	NUM
iajs-1072	103	6	(	(	PUNCT
iajs-1072	103	7	1	1	NUM
iajs-1072	103	8	)	)	PUNCT
iajs-1072	103	9	2017	2017	NUM
iajs-1072	103	10	the	the	DET
iajs-1072	103	11	estimators	estimator	NOUN
iajs-1072	103	12	(	(	PUNCT
iajs-1072	103	13	)	)	PUNCT
iajs-1072	103	14	t	t	NOUN
iajs-1072	103	15	(	(	PUNCT
iajs-1072	103	16	r	r	NOUN
iajs-1072	103	17	pro.2(i	pro.2(i	NOUN
iajs-1072	103	18	)	)	PUNCT
iajs-1072	103	19	^	^	PUNCT
iajs-1072	103	20	)	)	PUNCT
iajs-1072	104	1	under	under	ADP
iajs-1072	104	2	the	the	DET
iajs-1072	104	3	squared	square	VERB
iajs-1072	104	4	error	error	NOUN
iajs-1072	104	5	loss	loss	NOUN
iajs-1072	104	6	function	function	NOUN
iajs-1072	104	7	with	with	ADP
iajs-1072	104	8	different	different	ADJ
iajs-1072	104	9	four	four	NUM
iajs-1072	104	10	priors	prior	NOUN
iajs-1072	104	11	.	.	PUNCT
iajs-1072	105	1	prior	prior	ADJ
iajs-1072	105	2	distribution	distribution	NOUN
iajs-1072	105	3	10	10	NUM
iajs-1072	105	4	pro.2(i	pro.2(i	NOUN
iajs-1072	105	5	)	)	PUNCT
iajs-1072	105	6	^	^	PUNCT
iajs-1072	105	7	)	)	PUNCT
iajs-1072	106	1	dθ	dθ	PROPN
iajs-1072	106	2	t	t	PROPN
iajs-1072	106	3	)	)	PUNCT
iajs-1072	106	4	\θ	\θ	NOUN
iajs-1072	107	1	p	p	X
iajs-1072	107	2	(	(	PUNCT
iajs-1072	107	3	r(t)ln	r(t)ln	PROPN
iajs-1072	107	4	1	1	NUM
iajs-1072	107	5	exp	exp	NOUN
iajs-1072	107	6	(	(	PUNCT
iajs-1072	107	7	)	)	PUNCT
iajs-1072	107	8	t	t	PROPN
iajs-1072	107	9	(	(	PUNCT
iajs-1072	107	10	r	r	NOUN
iajs-1072	107	11			PUNCT
iajs-1072	107	12			VERB
iajs-1072	107	13			NUM
iajs-1072	107	14	inverse	inverse	ADJ
iajs-1072	107	15	chi	chi	NOUN
iajs-1072	107	16	-	-	PUNCT
iajs-1072	107	17	square	square	NOUN
iajs-1072	107	18	0v&n	0v&n	NUM
iajs-1072	107	19	,	,	PUNCT
iajs-1072	107	20	1-	1-	X
iajs-1072	107	21	)	)	PUNCT
iajs-1072	107	22	)	)	PUNCT
iajs-1072	107	23	2	2	NUM
iajs-1072	107	24	(	(	PUNCT
iajs-1072	107	25	nt	not	PART
iajs-1072	107	26	)	)	PUNCT
iajs-1072	107	27	1	1	NUM
iajs-1072	107	28	2	2	NUM
iajs-1072	107	29	(	(	PUNCT
iajs-1072	107	30	n	n	CCONJ
iajs-1072	107	31	)	)	PUNCT
iajs-1072	107	32	2	2	NUM
iajs-1072	107	33	1	1	NUM
iajs-1072	107	34	i	i	NOUN
iajs-1072	107	35	tn	tn	NOUN
iajs-1072	107	36	1i	1i	NOUN
iajs-1072	107	37	(	(	PUNCT
iajs-1072	107	38	exp	exp	NOUN
iajs-1072	107	39	(	(	PUNCT
iajs-1072	107	40	)	)	PUNCT
iajs-1072	107	41	t	t	NOUN
iajs-1072	107	42	(	(	PUNCT
iajs-1072	107	43	r	r	NOUN
iajs-1072	107	44	pro.2(1	pro.2(1	NOUN
iajs-1072	107	45	)	)	PUNCT
iajs-1072	107	46	^	^	PUNCT
iajs-1072	107	47			PROPN
iajs-1072	107	48			NOUN
iajs-1072	108	1			PROPN
iajs-1072	108	2			PROPN
iajs-1072	108	3			PROPN
iajs-1072	108	4	v	v	ADP
iajs-1072	108	5	v	v	NUM
iajs-1072	108	6	inverted	inverted	ADJ
iajs-1072	108	7	gamma	gamma	NOUN
iajs-1072	108	8	0	0	NUM
iajs-1072	108	9	α	α	PROPN
iajs-1072	108	10	,	,	PUNCT
iajs-1072	108	11	βn	βn	NOUN
iajs-1072	108	12	,	,	PUNCT
iajs-1072	108	13	,	,	PUNCT
iajs-1072	108	14	1-	1-	X
iajs-1072	108	15	)	)	PUNCT
iajs-1072	108	16	α)γ(nt	α)γ(nt	NUM
iajs-1072	108	17	β	β	X
iajs-1072	108	18	)	)	PUNCT
iajs-1072	109	1	i	i	PRON
iajs-1072	109	2	tn	tn	VERB
iajs-1072	110	1	i	i	PRON
iajs-1072	110	2	1)(-αγ(n	1)(-αγ(n	NUM
iajs-1072	110	3	exp	exp	NOUN
iajs-1072	110	4	(	(	PUNCT
iajs-1072	110	5	)	)	PUNCT
iajs-1072	110	6	t	t	PROPN
iajs-1072	110	7	(	(	PUNCT
iajs-1072	110	8	r	r	NOUN
iajs-1072	110	9	1	1	NUM
iajs-1072	110	10	pro.2(2	pro.2(2	NOUN
iajs-1072	110	11	)	)	PUNCT
iajs-1072	110	12	^	^	PUNCT
iajs-1072	110	13			PROPN
iajs-1072	110	14			PUNCT
iajs-1072	110	15			PROPN
iajs-1072	110	16			PROPN
iajs-1072	110	17			ADJ
iajs-1072	110	18			ADJ
iajs-1072	110	19	improper	improper	ADJ
iajs-1072	110	20	0	0	PROPN
iajs-1072	110	21	a	a	PRON
iajs-1072	110	22	,	,	PUNCT
iajs-1072	110	23	bn	bn	ADJ
iajs-1072	110	24	,	,	PUNCT
iajs-1072	110	25	,	,	PUNCT
iajs-1072	110	26	)	)	PUNCT
iajs-1072	110	27	a)γ(nt	a)γ(nt	ADV
iajs-1072	110	28	b)t1)(-aγ(n	b)t1)(-aγ(n	NOUN
iajs-1072	110	29	exp	exp	NOUN
iajs-1072	110	30	(	(	PUNCT
iajs-1072	110	31	)	)	PUNCT
iajs-1072	110	32	t	t	NOUN
iajs-1072	110	33	(	(	PUNCT
iajs-1072	110	34	r	r	NOUN
iajs-1072	110	35	1n	1n	NUM
iajs-1072	110	36	1i	1i	NOUN
iajs-1072	110	37	pro.2(3	pro.2(3	NOUN
iajs-1072	110	38	)	)	PUNCT
iajs-1072	110	39	^	^	PUNCT
iajs-1072	111	1	i	i	PRON
iajs-1072	111	2			VERB
iajs-1072	111	3			CCONJ
iajs-1072	111	4			PROPN
iajs-1072	111	5			PROPN
iajs-1072	111	6			NUM
iajs-1072	111	7	non	non	ADJ
iajs-1072	111	8	-	-	ADJ
iajs-1072	111	9	informative	informative	ADJ
iajs-1072	111	10	0	0	PUNCT
iajs-1072	112	1	cn	cn	ADJ
iajs-1072	112	2	,	,	PUNCT
iajs-1072	112	3	,	,	PUNCT
iajs-1072	112	4	)	)	PUNCT
iajs-1072	112	5	2)cn(t	2)cn(t	NUM
iajs-1072	113	1	2)cn()t	2)cn()t	NUM
iajs-1072	113	2	(	(	PUNCT
iajs-1072	113	3	exp	exp	NOUN
iajs-1072	113	4	(	(	PUNCT
iajs-1072	113	5	)	)	PUNCT
iajs-1072	113	6	t	t	PROPN
iajs-1072	113	7	(	(	PUNCT
iajs-1072	113	8	r	r	NOUN
iajs-1072	113	9	1n	1n	NUM
iajs-1072	113	10	1i	1i	NUM
iajs-1072	113	11	pro.2(4	pro.2(4	NOUN
iajs-1072	113	12	)	)	PUNCT
iajs-1072	113	13	^	^	PUNCT
iajs-1072	114	1	i	i	PRON
iajs-1072	114	2			VERB
iajs-1072	114	3			PROPN
iajs-1072	114	4			PROPN
iajs-1072	114	5			NOUN
iajs-1072	114	6			VERB
iajs-1072	114	7	where	where	SCONJ
iajs-1072	114	8	)	)	PUNCT
iajs-1072	114	9	γ	γ	X
iajs-1072	114	10	(	(	PUNCT
iajs-1072	114	11	.	.	PUNCT
iajs-1072	114	12	is	be	AUX
iajs-1072	114	13	a	a	DET
iajs-1072	114	14	gamma	gamma	NOUN
iajs-1072	114	15	function	function	NOUN
iajs-1072	114	16	,	,	PUNCT
iajs-1072	114	17	simulation	simulation	NOUN
iajs-1072	114	18	study	study	NOUN
iajs-1072	114	19	in	in	ADP
iajs-1072	114	20	this	this	DET
iajs-1072	114	21	study	study	NOUN
iajs-1072	114	22	,	,	PUNCT
iajs-1072	114	23	we	we	PRON
iajs-1072	114	24	have	have	AUX
iajs-1072	114	25	generated	generate	VERB
iajs-1072	114	26	random	random	ADJ
iajs-1072	114	27	samples	sample	NOUN
iajs-1072	114	28	from	from	ADP
iajs-1072	114	29	exponential	exponential	ADJ
iajs-1072	114	30	distribution	distribution	NOUN
iajs-1072	114	31	and	and	CCONJ
iajs-1072	114	32	compared	compare	VERB
iajs-1072	114	33	the	the	DET
iajs-1072	114	34	performance	performance	NOUN
iajs-1072	114	35	of	of	ADP
iajs-1072	114	36	bayes	bayes	NOUN
iajs-1072	114	37	estimators	estimator	NOUN
iajs-1072	114	38	based	base	VERB
iajs-1072	114	39	on	on	ADP
iajs-1072	114	40	them	they	PRON
iajs-1072	114	41	.	.	PUNCT
iajs-1072	115	1	so	so	ADV
iajs-1072	115	2	we	we	PRON
iajs-1072	115	3	have	have	AUX
iajs-1072	115	4	considered	consider	VERB
iajs-1072	115	5	several	several	ADJ
iajs-1072	115	6	steps	step	NOUN
iajs-1072	115	7	to	to	PART
iajs-1072	115	8	perform	perform	VERB
iajs-1072	115	9	simulation	simulation	NOUN
iajs-1072	115	10	study	study	NOUN
iajs-1072	115	11	as	as	SCONJ
iajs-1072	115	12	follows	follow	VERB
iajs-1072	115	13	:	:	PUNCT
iajs-1072	115	14	1	1	X
iajs-1072	115	15	.	.	X
iajs-1072	115	16	we	we	PRON
iajs-1072	115	17	have	have	AUX
iajs-1072	115	18	chosen	choose	VERB
iajs-1072	115	19	sample	sample	NOUN
iajs-1072	115	20	size	size	NOUN
iajs-1072	115	21	n	n	PROPN
iajs-1072	115	22	=	=	SYM
iajs-1072	115	23	30	30	NUM
iajs-1072	115	24	,	,	PUNCT
iajs-1072	115	25	60	60	NUM
iajs-1072	115	26	,	,	PUNCT
iajs-1072	115	27	90	90	NUM
iajs-1072	115	28	and	and	CCONJ
iajs-1072	115	29	120	120	NUM
iajs-1072	115	30	to	to	PART
iajs-1072	115	31	represent	represent	VERB
iajs-1072	115	32	small	small	ADJ
iajs-1072	115	33	,	,	PUNCT
iajs-1072	115	34	moderate	moderate	ADJ
iajs-1072	115	35	and	and	CCONJ
iajs-1072	115	36	large	large	ADJ
iajs-1072	115	37	sample	sample	NOUN
iajs-1072	115	38	size	size	NOUN
iajs-1072	115	39	.	.	PUNCT
iajs-1072	116	1	2	2	X
iajs-1072	116	2	.	.	X
iajs-1072	116	3	we	we	PRON
iajs-1072	116	4	generated	generate	VERB
iajs-1072	116	5	data	datum	NOUN
iajs-1072	116	6	from	from	ADP
iajs-1072	116	7	exponential	exponential	ADJ
iajs-1072	116	8	distribution	distribution	NOUN
iajs-1072	116	9	for	for	ADP
iajs-1072	116	10	the	the	DET
iajs-1072	116	11	scale	scale	NOUN
iajs-1072	116	12	parameter	parameter	NOUN
iajs-1072	116	13	;	;	PUNCT
iajs-1072	116	14	we	we	PRON
iajs-1072	116	15	have	have	AUX
iajs-1072	116	16	considered	consider	VERB
iajs-1072	116	17	randomly	randomly	ADV
iajs-1072	116	18	several	several	ADJ
iajs-1072	116	19	values	value	NOUN
iajs-1072	116	20	for	for	ADP
iajs-1072	116	21	the	the	DET
iajs-1072	116	22	parameter	parameter	NOUN
iajs-1072	116	23	of	of	ADP
iajs-1072	116	24	exponential	exponential	ADJ
iajs-1072	116	25	distribution	distribution	NOUN
iajs-1072	116	26	2.5	2.5	NUM
iajs-1072	116	27	,	,	PUNCT
iajs-1072	116	28	1.5	1.5	NUM
iajs-1072	116	29	,	,	PUNCT
iajs-1072	116	30	1	1	NUM
iajs-1072	116	31	,	,	PUNCT
iajs-1072	116	32	0.5θ	0.5θ	PRON
iajs-1072	116	33			NOUN
iajs-1072	116	34	.	.	PUNCT
iajs-1072	117	1	3	3	X
iajs-1072	117	2	.	.	X
iajs-1072	117	3	we	we	PRON
iajs-1072	117	4	choose	choose	VERB
iajs-1072	117	5	the	the	DET
iajs-1072	117	6	values	value	NOUN
iajs-1072	117	7	for	for	ADP
iajs-1072	117	8	the	the	DET
iajs-1072	117	9	parameters	parameter	NOUN
iajs-1072	117	10	of	of	ADP
iajs-1072	117	11	the	the	DET
iajs-1072	117	12	prior	prior	ADJ
iajs-1072	117	13	distributions	distribution	NOUN
iajs-1072	117	14	that	that	PRON
iajs-1072	117	15	give	give	VERB
iajs-1072	117	16	the	the	DET
iajs-1072	117	17	appropriate	appropriate	ADJ
iajs-1072	117	18	estimation	estimation	NOUN
iajs-1072	117	19	for	for	ADP
iajs-1072	117	20	reliability	reliability	NOUN
iajs-1072	117	21	function	function	NOUN
iajs-1072	117	22	(	(	PUNCT
iajs-1072	117	23	r(t	r(t	NOUN
iajs-1072	117	24	)	)	PUNCT
iajs-1072	117	25	)	)	PUNCT
iajs-1072	117	26	,	,	PUNCT
iajs-1072	117	27	as	as	SCONJ
iajs-1072	117	28	shown	show	VERB
iajs-1072	117	29	belows	below	NOUN
iajs-1072	117	30	:	:	PUNCT
iajs-1072	117	31			PRON
iajs-1072	117	32	we	we	PRON
iajs-1072	117	33	used	use	VERB
iajs-1072	117	34	two	two	NUM
iajs-1072	117	35	values	value	NOUN
iajs-1072	117	36	for	for	ADP
iajs-1072	117	37	the	the	DET
iajs-1072	117	38	parameter	parameter	NOUN
iajs-1072	117	39	of	of	ADP
iajs-1072	117	40	the	the	DET
iajs-1072	117	41	inverse	inverse	ADJ
iajs-1072	117	42	chi	chi	ADJ
iajs-1072	117	43	-	-	PUNCT
iajs-1072	117	44	square	square	ADJ
iajs-1072	117	45	distribution	distribution	NOUN
iajs-1072	117	46	(	(	PUNCT
iajs-1072	117	47	v=	v=	NOUN
iajs-1072	117	48	4	4	NUM
iajs-1072	117	49	)	)	PUNCT
iajs-1072	117	50	as	as	ADP
iajs-1072	117	51	prior	prior	ADJ
iajs-1072	117	52	distribution	distribution	NOUN
iajs-1072	117	53	forθ	forθ	NOUN
iajs-1072	117	54	.	.	PUNCT
iajs-1072	118	1			X
iajs-1072	118	2	we	we	PRON
iajs-1072	118	3	used	use	VERB
iajs-1072	118	4	two	two	NUM
iajs-1072	118	5	values	value	NOUN
iajs-1072	118	6	for	for	ADP
iajs-1072	118	7	the	the	DET
iajs-1072	118	8	parameters	parameter	NOUN
iajs-1072	118	9	of	of	ADP
iajs-1072	118	10	the	the	DET
iajs-1072	118	11	inverted	inverted	ADJ
iajs-1072	118	12	gamma	gamma	NOUN
iajs-1072	118	13	distribution	distribution	NOUN
iajs-1072	118	14	(	(	PUNCT
iajs-1072	118	15	5,2	5,2	NUM
iajs-1072	118	16	)	)	PUNCT
iajs-1072	118	17	)	)	PUNCT
iajs-1072	119	1	β	β	X
iajs-1072	119	2	,	,	PUNCT
iajs-1072	119	3	α	α	PROPN
iajs-1072	119	4	(	(	PUNCT
iajs-1072	119	5			ADV
iajs-1072	119	6	as	as	ADP
iajs-1072	119	7	prior	prior	ADJ
iajs-1072	119	8	distribution	distribution	NOUN
iajs-1072	119	9	forθ	forθ	NOUN
iajs-1072	119	10	.	.	PUNCT
iajs-1072	120	1			X
iajs-1072	120	2	we	we	PRON
iajs-1072	120	3	used	use	VERB
iajs-1072	120	4	two	two	NUM
iajs-1072	120	5	values	value	NOUN
iajs-1072	120	6	for	for	ADP
iajs-1072	120	7	the	the	DET
iajs-1072	120	8	parameters	parameter	NOUN
iajs-1072	120	9	of	of	ADP
iajs-1072	120	10	the	the	DET
iajs-1072	120	11	improper	improper	ADJ
iajs-1072	120	12	distribution	distribution	NOUN
iajs-1072	120	13	(	(	PUNCT
iajs-1072	120	14	9,3	9,3	NUM
iajs-1072	120	15	)	)	PUNCT
iajs-1072	120	16	)	)	PUNCT
iajs-1072	121	1	b	b	X
iajs-1072	121	2	,	,	PUNCT
iajs-1072	121	3	a	a	DET
iajs-1072	121	4	(	(	PUNCT
iajs-1072	121	5			NOUN
iajs-1072	121	6	as	as	ADP
iajs-1072	121	7	prior	prior	ADJ
iajs-1072	121	8	distribution	distribution	NOUN
iajs-1072	121	9	forθ	forθ	NOUN
iajs-1072	121	10	.	.	PUNCT
iajs-1072	122	1			X
iajs-1072	122	2	we	we	PRON
iajs-1072	122	3	used	use	VERB
iajs-1072	122	4	randomly	randomly	ADV
iajs-1072	122	5	three	three	NUM
iajs-1072	122	6	values	value	NOUN
iajs-1072	122	7	for	for	ADP
iajs-1072	122	8	the	the	DET
iajs-1072	122	9	function	function	NOUN
iajs-1072	122	10	of	of	ADP
iajs-1072	122	11	the	the	DET
iajs-1072	122	12	non	non	ADJ
iajs-1072	122	13	-	-	ADJ
iajs-1072	122	14	informative	informative	ADJ
iajs-1072	122	15	prior	prior	ADJ
iajs-1072	122	16	distribution	distribution	NOUN
iajs-1072	122	17	c	c	NOUN
iajs-1072	122	18	=	=	NOUN
iajs-1072	122	19	1	1	X
iajs-1072	122	20	.	.	PUNCT
iajs-1072	123	1	mathematics	mathematic	NOUN
iajs-1072	123	2	|	|	ADV
iajs-1072	123	3	214	214	NUM
iajs-1072	123	4	7102	7102	NUM
iajs-1072	123	5	(	(	PUNCT
iajs-1072	123	6	عام	عام	ADP
iajs-1072	123	7	1العدد	1العدد	NUM
iajs-1072	123	8	)	)	PUNCT
iajs-1072	123	9	30مجلة	30مجلة	NUM
iajs-1072	123	10	إبن	إبن	VERB
iajs-1072	123	11	الهيثم	الهيثم	ADJ
iajs-1072	123	12	للعلوم	للعلوم	NOUN
iajs-1072	123	13	الصرفة	الصرفة	NOUN
iajs-1072	124	1	و	و	PRON
iajs-1072	124	2	التطبيقية	التطبيقية	ADV
iajs-1072	124	3	المجلد	المجلد	VERB
iajs-1072	124	4	ibn	ibn	PROPN
iajs-1072	124	5	al	al	PROPN
iajs-1072	124	6	-	-	PUNCT
iajs-1072	124	7	haitham	haitham	PROPN
iajs-1072	124	8	j.	j.	PROPN
iajs-1072	124	9	for	for	ADP
iajs-1072	124	10	pure	pure	PROPN
iajs-1072	124	11	&	&	CCONJ
iajs-1072	124	12	appl	appl	PROPN
iajs-1072	124	13	.	.	PUNCT
iajs-1072	125	1	sci	sci	PROPN
iajs-1072	125	2	.	.	PUNCT
iajs-1072	125	3	vol	vol	NOUN
iajs-1072	125	4	.	.	PROPN
iajs-1072	125	5	30	30	NUM
iajs-1072	125	6	(	(	PUNCT
iajs-1072	125	7	1	1	NUM
iajs-1072	125	8	)	)	PUNCT
iajs-1072	125	9	2017	2017	NUM
iajs-1072	125	10	4	4	NUM
iajs-1072	125	11	.	.	PUNCT
iajs-1072	126	1	the	the	DET
iajs-1072	126	2	number	number	NOUN
iajs-1072	126	3	of	of	ADP
iajs-1072	126	4	replication	replication	NOUN
iajs-1072	126	5	used	use	VERB
iajs-1072	126	6	was	be	AUX
iajs-1072	126	7	(	(	PUNCT
iajs-1072	126	8	1000l	1000l	NOUN
iajs-1072	126	9			NUM
iajs-1072	126	10	)	)	PUNCT
iajs-1072	126	11	for	for	ADP
iajs-1072	126	12	each	each	DET
iajs-1072	126	13	sample	sample	NOUN
iajs-1072	126	14	size	size	NOUN
iajs-1072	126	15	(	(	PUNCT
iajs-1072	126	16	n	n	CCONJ
iajs-1072	126	17	)	)	PUNCT
iajs-1072	126	18	.	.	PUNCT
iajs-1072	127	1	5	5	X
iajs-1072	127	2	.	.	X
iajs-1072	128	1	the	the	DET
iajs-1072	128	2	true	true	ADJ
iajs-1072	128	3	)	)	PUNCT
iajs-1072	128	4	t	t	NOUN
iajs-1072	128	5	r	r	X
iajs-1072	128	6	(	(	PUNCT
iajs-1072	128	7	is	be	AUX
iajs-1072	128	8	computed	compute	VERB
iajs-1072	128	9	according	accord	VERB
iajs-1072	128	10	to	to	ADP
iajs-1072	128	11	the	the	DET
iajs-1072	128	12	formula	formula	NOUN
iajs-1072	128	13	(	(	PUNCT
iajs-1072	128	14	3	3	NUM
iajs-1072	128	15	)	)	PUNCT
iajs-1072	128	16	with	with	ADP
iajs-1072	128	17	2.5	2.5	NUM
iajs-1072	128	18	,	,	PUNCT
iajs-1072	128	19	1.5	1.5	NUM
iajs-1072	128	20	,	,	PUNCT
iajs-1072	128	21	1	1	NUM
iajs-1072	128	22	,	,	PUNCT
iajs-1072	128	23	0.5θ	0.5θ	PRON
iajs-1072	128	24			NOUN
iajs-1072	128	25	and	and	CCONJ
iajs-1072	128	26	the	the	DET
iajs-1072	128	27	true	true	ADJ
iajs-1072	128	28	t	t	PROPN
iajs-1072	128	29	is	be	AUX
iajs-1072	128	30	3.5	3.5	NUM
iajs-1072	128	31	,	,	PUNCT
iajs-1072	128	32	2.5	2.5	NUM
iajs-1072	128	33	,	,	PUNCT
iajs-1072	128	34	1.5	1.5	NUM
iajs-1072	128	35	,	,	PUNCT
iajs-1072	128	36	0.5	0.5	NUM
iajs-1072	128	37	t	t	NOUN
iajs-1072	128	38			NUM
iajs-1072	128	39	.	.	PUNCT
iajs-1072	129	1	6	6	X
iajs-1072	129	2	.	.	X
iajs-1072	129	3	we	we	PRON
iajs-1072	129	4	obtained	obtain	VERB
iajs-1072	129	5	estimators	estimator	NOUN
iajs-1072	129	6	for	for	ADP
iajs-1072	129	7	reliability	reliability	NOUN
iajs-1072	129	8	function	function	NOUN
iajs-1072	129	9	(	(	PUNCT
iajs-1072	129	10	r(t	r(t	NOUN
iajs-1072	129	11	)	)	PUNCT
iajs-1072	129	12	)	)	PUNCT
iajs-1072	129	13	,	,	PUNCT
iajs-1072	129	14	the	the	DET
iajs-1072	129	15	estimators	estimator	NOUN
iajs-1072	129	16	in	in	ADP
iajs-1072	129	17	the	the	DET
iajs-1072	129	18	table	table	NOUN
iajs-1072	129	19	in	in	ADP
iajs-1072	129	20	section	section	NOUN
iajs-1072	129	21	(	(	PUNCT
iajs-1072	129	22	3.2.1	3.2.1	NUM
iajs-1072	129	23	)	)	PUNCT
iajs-1072	129	24	,	,	PUNCT
iajs-1072	129	25	it	it	PRON
iajs-1072	129	26	means	mean	VERB
iajs-1072	129	27	the	the	DET
iajs-1072	129	28	estimators	estimator	NOUN
iajs-1072	129	29	)	)	PUNCT
iajs-1072	129	30	t	t	NOUN
iajs-1072	129	31	(	(	PUNCT
iajs-1072	129	32	r	r	NOUN
iajs-1072	129	33	pro.1(i	pro.1(i	NOUN
iajs-1072	129	34	)	)	PUNCT
iajs-1072	129	35	^	^	PUNCT
iajs-1072	129	36	under	under	ADP
iajs-1072	129	37	the	the	DET
iajs-1072	129	38	first	first	ADJ
iajs-1072	129	39	proposed	propose	VERB
iajs-1072	129	40	loss	loss	NOUN
iajs-1072	129	41	function	function	NOUN
iajs-1072	129	42	with	with	ADP
iajs-1072	129	43	four	four	NUM
iajs-1072	129	44	different	different	ADJ
iajs-1072	129	45	priors	prior	NOUN
iajs-1072	129	46	.and	.and	PUNCT
iajs-1072	129	47	the	the	DET
iajs-1072	129	48	estimators	estimator	NOUN
iajs-1072	129	49	in	in	ADP
iajs-1072	129	50	the	the	DET
iajs-1072	129	51	table	table	NOUN
iajs-1072	129	52	in	in	ADP
iajs-1072	129	53	section	section	NOUN
iajs-1072	129	54	(	(	PUNCT
iajs-1072	129	55	3.2.2	3.2.2	NUM
iajs-1072	129	56	)	)	PUNCT
iajs-1072	129	57	,	,	PUNCT
iajs-1072	129	58	it	it	PRON
iajs-1072	129	59	means	mean	VERB
iajs-1072	129	60	the	the	DET
iajs-1072	129	61	estimators	estimator	NOUN
iajs-1072	129	62	)	)	PUNCT
iajs-1072	129	63	t	t	NOUN
iajs-1072	129	64	(	(	PUNCT
iajs-1072	129	65	r	r	NOUN
iajs-1072	129	66	pro2(i	pro2(i	NUM
iajs-1072	129	67	)	)	PUNCT
iajs-1072	129	68	^	^	PUNCT
iajs-1072	129	69	under	under	ADP
iajs-1072	129	70	the	the	DET
iajs-1072	129	71	second	second	ADJ
iajs-1072	129	72	proposed	propose	VERB
iajs-1072	129	73	loss	loss	NOUN
iajs-1072	129	74	function	function	NOUN
iajs-1072	129	75	with	with	ADP
iajs-1072	129	76	different	different	ADJ
iajs-1072	129	77	four	four	NUM
iajs-1072	129	78	priors	prior	NOUN
iajs-1072	129	79	.	.	PUNCT
iajs-1072	130	1	the	the	DET
iajs-1072	130	2	simulation	simulation	NOUN
iajs-1072	130	3	program	program	NOUN
iajs-1072	130	4	was	be	AUX
iajs-1072	130	5	written	write	VERB
iajs-1072	130	6	by	by	ADP
iajs-1072	130	7	using	use	VERB
iajs-1072	130	8	matlab	matlab	PROPN
iajs-1072	130	9	-	-	PUNCT
iajs-1072	130	10	r2008a	r2008a	NOUN
iajs-1072	130	11	program	program	NOUN
iajs-1072	130	12	.	.	PUNCT
iajs-1072	131	1	after	after	ADP
iajs-1072	131	2	the	the	DET
iajs-1072	131	3	reliability	reliability	NOUN
iajs-1072	131	4	function	function	NOUN
iajs-1072	131	5	(	(	PUNCT
iajs-1072	131	6	r(t	r(t	NOUN
iajs-1072	131	7	)	)	PUNCT
iajs-1072	131	8	)	)	PUNCT
iajs-1072	131	9	,	,	PUNCT
iajs-1072	131	10	was	be	AUX
iajs-1072	131	11	estimated	estimate	VERB
iajs-1072	131	12	,	,	PUNCT
iajs-1072	131	13	mean	mean	ADJ
iajs-1072	131	14	square	square	ADJ
iajs-1072	131	15	errors	error	NOUN
iajs-1072	131	16	(	(	PUNCT
iajs-1072	131	17	mse	mse	NOUN
iajs-1072	131	18	)	)	PUNCT
iajs-1072	131	19	was	be	AUX
iajs-1072	131	20	calculated	calculate	VERB
iajs-1072	131	21	to	to	PART
iajs-1072	131	22	compare	compare	VERB
iajs-1072	131	23	between	between	ADP
iajs-1072	131	24	the	the	DET
iajs-1072	131	25	bayes	bayes	NOUN
iajs-1072	131	26	estimators	estimator	NOUN
iajs-1072	131	27	,	,	PUNCT
iajs-1072	131	28	so	so	SCONJ
iajs-1072	131	29	we	we	PRON
iajs-1072	131	30	have	have	VERB
iajs-1072	131	31	the	the	DET
iajs-1072	131	32	following	follow	VERB
iajs-1072	131	33	criterion	criterion	NOUN
iajs-1072	131	34	:	:	PUNCT
iajs-1072	131	35	...	...	PUNCT
iajs-1072	131	36	(	(	PUNCT
iajs-1072	131	37	10	10	NUM
iajs-1072	131	38	)	)	PUNCT
iajs-1072	131	39	)	)	PUNCT
iajs-1072	131	40	)	)	PUNCT
iajs-1072	132	1	t	t	NOUN
iajs-1072	132	2	r	r	NOUN
iajs-1072	132	3	(	(	PUNCT
iajs-1072	132	4	)	)	PUNCT
iajs-1072	132	5	t	t	PROPN
iajs-1072	132	6	(	(	PUNCT
iajs-1072	132	7	r	r	NOUN
iajs-1072	132	8	(	(	PUNCT
iajs-1072	132	9	l	l	NOUN
iajs-1072	132	10	1	1	NUM
iajs-1072	132	11	)	)	PUNCT
iajs-1072	132	12	)	)	PUNCT
iajs-1072	133	1	t	t	NOUN
iajs-1072	133	2	(	(	PUNCT
iajs-1072	133	3	r	r	NOUN
iajs-1072	133	4	mse	mse	NOUN
iajs-1072	133	5	(	(	PUNCT
iajs-1072	133	6	2	2	NUM
iajs-1072	133	7	^^	^^	SYM
iajs-1072	133	8	l	l	NOUN
iajs-1072	133	9	1000	1000	NUM
iajs-1072	133	10	1l	1l	NOUN
iajs-1072	133	11			NUM
iajs-1072	134	1			NUM
iajs-1072	134	2			NUM
iajs-1072	134	3	see	see	VERB
iajs-1072	134	4	appendix	appendix	NOUN
iajs-1072	134	5	-	-	PUNCT
iajs-1072	134	6	d	d	NOUN
iajs-1072	134	7	,	,	PUNCT
iajs-1072	134	8	for	for	SCONJ
iajs-1072	134	9	the	the	DET
iajs-1072	134	10	programs	program	NOUN
iajs-1072	134	11	algorithm	algorithm	VERB
iajs-1072	134	12	.	.	PUNCT
iajs-1072	135	1	the	the	DET
iajs-1072	135	2	results	result	NOUN
iajs-1072	135	3	of	of	ADP
iajs-1072	135	4	the	the	DET
iajs-1072	135	5	simulation	simulation	NOUN
iajs-1072	135	6	study	study	NOUN
iajs-1072	135	7	are	be	AUX
iajs-1072	135	8	summarized	summarize	VERB
iajs-1072	135	9	and	and	CCONJ
iajs-1072	135	10	tabulated	tabulate	VERB
iajs-1072	135	11	in	in	ADP
iajs-1072	135	12	tables	table	NOUN
iajs-1072	135	13	(	(	PUNCT
iajs-1072	135	14	1	1	NUM
iajs-1072	135	15	to	to	PART
iajs-1072	135	16	4	4	NUM
iajs-1072	135	17	)	)	PUNCT
iajs-1072	135	18	see	see	VERB
iajs-1072	135	19	appendix-e.in	appendix-e.in	PROPN
iajs-1072	135	20	each	each	DET
iajs-1072	135	21	row	row	NOUN
iajs-1072	135	22	of	of	ADP
iajs-1072	135	23	tables	table	NOUN
iajs-1072	135	24	(	(	PUNCT
iajs-1072	135	25	1	1	NUM
iajs-1072	135	26	to	to	PART
iajs-1072	135	27	4	4	NUM
iajs-1072	135	28	)	)	PUNCT
iajs-1072	135	29	,	,	PUNCT
iajs-1072	135	30	we	we	PRON
iajs-1072	135	31	have	have	VERB
iajs-1072	135	32	four	four	NUM
iajs-1072	135	33	estimated	estimate	VERB
iajs-1072	135	34	values	value	NOUN
iajs-1072	135	35	for	for	ADP
iajs-1072	135	36	r(t	r(t	NOUN
iajs-1072	135	37	)	)	PUNCT
iajs-1072	135	38	)	)	PUNCT
iajs-1072	136	1	t	t	NOUN
iajs-1072	136	2	(	(	PUNCT
iajs-1072	136	3	r	r	NOUN
iajs-1072	136	4	pro.1(i	pro.1(i	NOUN
iajs-1072	136	5	)	)	PUNCT
iajs-1072	136	6	^	^	PUNCT
iajs-1072	136	7	,	,	PUNCT
iajs-1072	136	8	with	with	ADP
iajs-1072	136	9	mse	mse	NOUN
iajs-1072	136	10	for	for	ADP
iajs-1072	136	11	all	all	DET
iajs-1072	136	12	sample	sample	NOUN
iajs-1072	136	13	size	size	NOUN
iajs-1072	136	14	(	(	PUNCT
iajs-1072	136	15	n	n	CCONJ
iajs-1072	136	16	)	)	PUNCT
iajs-1072	136	17	and	and	CCONJ
iajs-1072	136	18	values	value	NOUN
iajs-1072	136	19	(	(	PUNCT
iajs-1072	136	20	v	v	NOUN
iajs-1072	136	21	,	,	PUNCT
iajs-1072	136	22	(	(	PUNCT
iajs-1072	136	23	α	α	NOUN
iajs-1072	136	24	,	,	PUNCT
iajs-1072	136	25	β	β	PROPN
iajs-1072	136	26	)	)	PUNCT
iajs-1072	136	27	,	,	PUNCT
iajs-1072	136	28	(	(	PUNCT
iajs-1072	136	29	a	a	DET
iajs-1072	136	30	,	,	PUNCT
iajs-1072	136	31	b	b	NOUN
iajs-1072	136	32	)	)	PUNCT
iajs-1072	136	33	,	,	PUNCT
iajs-1072	136	34	c	c	NOUN
iajs-1072	136	35	)	)	PUNCT
iajs-1072	136	36	respectively	respectively	ADV
iajs-1072	136	37	.	.	PUNCT
iajs-1072	137	1	also	also	ADV
iajs-1072	137	2	the	the	DET
iajs-1072	137	3	results	result	NOUN
iajs-1072	137	4	of	of	ADP
iajs-1072	137	5	the	the	DET
iajs-1072	137	6	simulation	simulation	NOUN
iajs-1072	137	7	study	study	NOUN
iajs-1072	137	8	are	be	AUX
iajs-1072	137	9	summarized	summarize	VERB
iajs-1072	137	10	and	and	CCONJ
iajs-1072	137	11	tabulated	tabulate	VERB
iajs-1072	137	12	in	in	ADP
iajs-1072	137	13	tables	table	NOUN
iajs-1072	137	14	(	(	PUNCT
iajs-1072	137	15	5	5	NUM
iajs-1072	137	16	to	to	PART
iajs-1072	137	17	8)	8)	NUM
iajs-1072	137	18	see	see	VERB
iajs-1072	137	19	appendix	appendix	NOUN
iajs-1072	137	20	-	-	PUNCT
iajs-1072	137	21	e	e	NOUN
iajs-1072	137	22	.	.	PUNCT
iajs-1072	138	1	in	in	ADP
iajs-1072	138	2	each	each	DET
iajs-1072	138	3	row	row	NOUN
iajs-1072	138	4	of	of	ADP
iajs-1072	138	5	tables	table	NOUN
iajs-1072	138	6	(	(	PUNCT
iajs-1072	138	7	5	5	NUM
iajs-1072	138	8	to	to	ADP
iajs-1072	138	9	8)	8)	NUM
iajs-1072	138	10	,	,	PUNCT
iajs-1072	138	11	we	we	PRON
iajs-1072	138	12	have	have	VERB
iajs-1072	138	13	four	four	NUM
iajs-1072	138	14	estimated	estimate	VERB
iajs-1072	138	15	values	value	NOUN
iajs-1072	138	16	for	for	ADP
iajs-1072	138	17	r(t	r(t	NOUN
iajs-1072	138	18	)	)	PUNCT
iajs-1072	138	19	)	)	PUNCT
iajs-1072	139	1	t	t	NOUN
iajs-1072	139	2	(	(	PUNCT
iajs-1072	139	3	r	r	NOUN
iajs-1072	139	4	pro.2(i	pro.2(i	NOUN
iajs-1072	139	5	)	)	PUNCT
iajs-1072	139	6	^	^	PUNCT
iajs-1072	139	7	with	with	ADP
iajs-1072	139	8	mse	mse	NOUN
iajs-1072	139	9	for	for	ADP
iajs-1072	139	10	all	all	DET
iajs-1072	139	11	sample	sample	NOUN
iajs-1072	139	12	size	size	NOUN
iajs-1072	139	13	(	(	PUNCT
iajs-1072	139	14	n	n	CCONJ
iajs-1072	139	15	)	)	PUNCT
iajs-1072	139	16	and	and	CCONJ
iajs-1072	139	17	values	value	NOUN
iajs-1072	139	18	(	(	PUNCT
iajs-1072	139	19	v	v	NOUN
iajs-1072	139	20	,	,	PUNCT
iajs-1072	139	21	(	(	PUNCT
iajs-1072	139	22	α	α	NOUN
iajs-1072	139	23	,	,	PUNCT
iajs-1072	139	24	β	β	PROPN
iajs-1072	139	25	)	)	PUNCT
iajs-1072	139	26	,	,	PUNCT
iajs-1072	139	27	(	(	PUNCT
iajs-1072	139	28	a	a	DET
iajs-1072	139	29	,	,	PUNCT
iajs-1072	139	30	b	b	NOUN
iajs-1072	139	31	)	)	PUNCT
iajs-1072	139	32	,	,	PUNCT
iajs-1072	139	33	c	c	X
iajs-1072	139	34	)	)	PUNCT
iajs-1072	139	35	respectively	respectively	ADV
iajs-1072	139	36	.the	.the	PRON
iajs-1072	139	37	bayes	bayes	PROPN
iajs-1072	139	38	estimators	estimator	NOUN
iajs-1072	139	39	under	under	ADP
iajs-1072	139	40	four	four	NUM
iajs-1072	139	41	types	type	NOUN
iajs-1072	139	42	of	of	ADP
iajs-1072	139	43	prior	prior	ADJ
iajs-1072	139	44	distribution	distribution	NOUN
iajs-1072	139	45	.so	.so	PUNCT
iajs-1072	140	1	our	our	PRON
iajs-1072	140	2	criteria	criterion	NOUN
iajs-1072	140	3	is	be	AUX
iajs-1072	140	4	the	the	DET
iajs-1072	140	5	best	good	ADJ
iajs-1072	140	6	estimator	estimator	NOUN
iajs-1072	140	7	that	that	PRON
iajs-1072	140	8	gives	give	VERB
iajs-1072	140	9	the	the	DET
iajs-1072	140	10	smallest	small	ADJ
iajs-1072	140	11	value	value	NOUN
iajs-1072	140	12	of	of	ADP
iajs-1072	140	13	mse	mse	NOUN
iajs-1072	140	14	.	.	PUNCT
iajs-1072	141	1	we	we	PRON
iajs-1072	141	2	list	list	VERB
iajs-1072	141	3	the	the	DET
iajs-1072	141	4	results	result	NOUN
iajs-1072	141	5	in	in	ADP
iajs-1072	141	6	the	the	DET
iajs-1072	141	7	tables	table	NOUN
iajs-1072	141	8	(	(	PUNCT
iajs-1072	141	9	1	1	NUM
iajs-1072	141	10	to	to	ADP
iajs-1072	141	11	8)	8)	NUM
iajs-1072	141	12	in	in	ADP
iajs-1072	141	13	appendix	appendix	PROPN
iajs-1072	141	14	-	-	PUNCT
iajs-1072	141	15	e.	e.	PROPN
iajs-1072	141	16	discussion	discussion	NOUN
iajs-1072	141	17	in	in	ADP
iajs-1072	141	18	general	general	ADJ
iajs-1072	141	19	,	,	PUNCT
iajs-1072	141	20	as	as	SCONJ
iajs-1072	141	21	we	we	PRON
iajs-1072	141	22	see	see	VERB
iajs-1072	141	23	in	in	ADP
iajs-1072	141	24	the	the	DET
iajs-1072	141	25	tables	table	NOUN
iajs-1072	141	26	(	(	PUNCT
iajs-1072	141	27	1	1	NUM
iajs-1072	141	28	to	to	PART
iajs-1072	141	29	8	8	NUM
iajs-1072	141	30	)	)	PUNCT
iajs-1072	141	31	by	by	ADP
iajs-1072	141	32	using	use	VERB
iajs-1072	141	33	different	different	ADJ
iajs-1072	141	34	estimation	estimation	NOUN
iajs-1072	141	35	methods	method	NOUN
iajs-1072	141	36	,	,	PUNCT
iajs-1072	141	37	see	see	VERB
iajs-1072	141	38	appendix	appendix	NOUN
iajs-1072	141	39	-	-	PUNCT
iajs-1072	141	40	e.	e.	NOUN
iajs-1072	141	41	we	we	PRON
iajs-1072	141	42	find	find	VERB
iajs-1072	141	43	the	the	DET
iajs-1072	141	44	mean	mean	ADJ
iajs-1072	141	45	square	square	ADJ
iajs-1072	141	46	errors	error	NOUN
iajs-1072	141	47	(	(	PUNCT
iajs-1072	141	48	mse	mse	NOUN
iajs-1072	141	49	)	)	PUNCT
iajs-1072	141	50	was	be	AUX
iajs-1072	141	51	decreased	decrease	VERB
iajs-1072	141	52	when	when	SCONJ
iajs-1072	141	53	sample	sample	NOUN
iajs-1072	141	54	size	size	NOUN
iajs-1072	141	55	increased	increase	VERB
iajs-1072	141	56	in	in	ADP
iajs-1072	141	57	all	all	DET
iajs-1072	141	58	cases	case	NOUN
iajs-1072	141	59	.	.	PUNCT
iajs-1072	142	1	that	that	PRON
iajs-1072	142	2	means	mean	VERB
iajs-1072	142	3	the	the	DET
iajs-1072	142	4	estimation	estimation	NOUN
iajs-1072	142	5	of	of	ADP
iajs-1072	142	6	^	^	PUNCT
iajs-1072	142	7	)	)	PUNCT
iajs-1072	142	8	(	(	PUNCT
iajs-1072	142	9	r(t	r(t	NOUN
iajs-1072	142	10	)	)	PUNCT
iajs-1072	142	11	get	get	VERB
iajs-1072	142	12	better	well	ADJ
iajs-1072	142	13	for	for	ADP
iajs-1072	142	14	the	the	DET
iajs-1072	142	15	large	large	ADJ
iajs-1072	142	16	sample	sample	NOUN
iajs-1072	142	17	sizes	size	NOUN
iajs-1072	142	18	.	.	PUNCT
iajs-1072	143	1	we	we	PRON
iajs-1072	143	2	obtained	obtain	VERB
iajs-1072	143	3	a	a	DET
iajs-1072	143	4	good	good	ADJ
iajs-1072	143	5	estimation	estimation	NOUN
iajs-1072	143	6	according	accord	VERB
iajs-1072	143	7	to	to	ADP
iajs-1072	143	8	the	the	DET
iajs-1072	143	9	smallest	small	ADJ
iajs-1072	143	10	values	value	NOUN
iajs-1072	143	11	of	of	ADP
iajs-1072	143	12	mse	mse	NOUN
iajs-1072	143	13	for	for	ADP
iajs-1072	143	14	all	all	DET
iajs-1072	143	15	samples	sample	NOUN
iajs-1072	143	16	sizes	size	NOUN
iajs-1072	143	17	(	(	PUNCT
iajs-1072	143	18	n	n	CCONJ
iajs-1072	143	19	)	)	PUNCT
iajs-1072	143	20	comparative	comparative	ADJ
iajs-1072	143	21	to	to	ADP
iajs-1072	143	22	the	the	DET
iajs-1072	143	23	other	other	ADJ
iajs-1072	143	24	estimated	estimate	VERB
iajs-1072	143	25	values	value	NOUN
iajs-1072	143	26	for	for	ADP
iajs-1072	143	27	mse	mse	NOUN
iajs-1072	143	28	under	under	ADP
iajs-1072	143	29	the	the	DET
iajs-1072	143	30	first	first	ADJ
iajs-1072	143	31	proposed	propose	VERB
iajs-1072	143	32	loss	loss	NOUN
iajs-1072	143	33	function	function	NOUN
iajs-1072	143	34	.	.	PUNCT
iajs-1072	144	1	as	as	SCONJ
iajs-1072	144	2	we	we	PRON
iajs-1072	144	3	see	see	VERB
iajs-1072	144	4	in	in	ADP
iajs-1072	144	5	table	table	NOUN
iajs-1072	144	6	-1	-1	NOUN
iajs-1072	144	7	,	,	PUNCT
iajs-1072	144	8	when	when	SCONJ
iajs-1072	144	9	the	the	DET
iajs-1072	144	10	true	true	ADJ
iajs-1072	144	11	value	value	NOUN
iajs-1072	144	12	of	of	ADP
iajs-1072	144	13	θ	θ	PROPN
iajs-1072	144	14	(	(	PUNCT
iajs-1072	144	15	0.5θ	0.5θ	NOUN
iajs-1072	144	16			NOUN
iajs-1072	144	17	)	)	PUNCT
iajs-1072	144	18	and	and	CCONJ
iajs-1072	144	19	the	the	DET
iajs-1072	144	20	prior	prior	ADJ
iajs-1072	144	21	distribution	distribution	NOUN
iajs-1072	144	22	for	for	ADP
iajs-1072	144	23	θ	θ	PROPN
iajs-1072	144	24	is	be	AUX
iajs-1072	144	25			X
iajs-1072	144	26	inverted	inverted	ADJ
iajs-1072	144	27	gamma	gamma	NOUN
iajs-1072	144	28	distribution	distribution	NOUN
iajs-1072	144	29	with	with	ADP
iajs-1072	144	30	2)β	2)β	NUM
iajs-1072	144	31	5,α	5,α	NUM
iajs-1072	144	32	(	(	PUNCT
iajs-1072	144	33			NUM
iajs-1072	144	34	for	for	ADP
iajs-1072	144	35	t=0.5	t=0.5	NOUN
iajs-1072	144	36	.	.	PUNCT
iajs-1072	145	1			X
iajs-1072	145	2	improper	improper	ADJ
iajs-1072	145	3	distribution	distribution	NOUN
iajs-1072	145	4	with	with	ADP
iajs-1072	145	5	(	(	PUNCT
iajs-1072	145	6	a=9	a=9	NOUN
iajs-1072	145	7	,	,	PUNCT
iajs-1072	145	8	b=3	b=3	NOUN
iajs-1072	145	9	)	)	PUNCT
iajs-1072	145	10	for	for	ADP
iajs-1072	145	11	t=1.5	t=1.5	NOUN
iajs-1072	145	12	,	,	PUNCT
iajs-1072	145	13	2.5	2.5	NUM
iajs-1072	145	14	,	,	PUNCT
iajs-1072	145	15	3.5	3.5	NUM
iajs-1072	145	16	.	.	PUNCT
iajs-1072	146	1	and	and	CCONJ
iajs-1072	146	2	we	we	PRON
iajs-1072	146	3	see	see	VERB
iajs-1072	146	4	in	in	ADP
iajs-1072	146	5	table	table	NOUN
iajs-1072	146	6	-2	-2	INTJ
iajs-1072	146	7	,	,	PUNCT
iajs-1072	146	8	when	when	SCONJ
iajs-1072	146	9	the	the	DET
iajs-1072	146	10	true	true	ADJ
iajs-1072	146	11	value	value	NOUN
iajs-1072	146	12	of	of	ADP
iajs-1072	146	13	θ	θ	PROPN
iajs-1072	146	14	(	(	PUNCT
iajs-1072	146	15	1θ	1θ	PROPN
iajs-1072	146	16			NUM
iajs-1072	146	17	)	)	PUNCT
iajs-1072	146	18	and	and	CCONJ
iajs-1072	146	19	the	the	DET
iajs-1072	146	20	prior	prior	ADJ
iajs-1072	146	21	distribution	distribution	NOUN
iajs-1072	146	22	for	for	ADP
iajs-1072	146	23	θ	θ	PROPN
iajs-1072	146	24	is	be	AUX
iajs-1072	146	25			PRON
iajs-1072	146	26	non	non	ADJ
iajs-1072	146	27	-	-	ADJ
iajs-1072	146	28	informative	informative	ADJ
iajs-1072	146	29	distribution	distribution	NOUN
iajs-1072	146	30	with	with	ADP
iajs-1072	146	31	c=1	c=1	NOUN
iajs-1072	146	32	for	for	ADP
iajs-1072	146	33	t=0.5	t=0.5	NOUN
iajs-1072	146	34	,	,	PUNCT
iajs-1072	146	35	1.5	1.5	NUM
iajs-1072	146	36	.	.	PUNCT
iajs-1072	147	1			X
iajs-1072	147	2	inverse	inverse	ADJ
iajs-1072	147	3	chi	chi	ADJ
iajs-1072	147	4	-	-	PUNCT
iajs-1072	147	5	square	square	ADJ
iajs-1072	147	6	distribution	distribution	NOUN
iajs-1072	147	7	with	with	ADP
iajs-1072	147	8	v=4	v=4	NOUN
iajs-1072	147	9	for	for	ADP
iajs-1072	147	10	t=2.5	t=2.5	NOUN
iajs-1072	147	11	.	.	PUNCT
iajs-1072	148	1	mathematics	mathematic	NOUN
iajs-1072	148	2	|	|	ADV
iajs-1072	148	3	215	215	NUM
iajs-1072	148	4	7102	7102	NUM
iajs-1072	148	5	(	(	PUNCT
iajs-1072	148	6	عام	عام	ADP
iajs-1072	148	7	1العدد	1العدد	NUM
iajs-1072	148	8	)	)	PUNCT
iajs-1072	148	9	30مجلة	30مجلة	NUM
iajs-1072	148	10	إبن	إبن	VERB
iajs-1072	148	11	الهيثم	الهيثم	ADJ
iajs-1072	148	12	للعلوم	للعلوم	NOUN
iajs-1072	148	13	الصرفة	الصرفة	NOUN
iajs-1072	149	1	و	و	PRON
iajs-1072	149	2	التطبيقية	التطبيقية	ADV
iajs-1072	149	3	المجلد	المجلد	VERB
iajs-1072	149	4	ibn	ibn	PROPN
iajs-1072	149	5	al	al	PROPN
iajs-1072	149	6	-	-	PUNCT
iajs-1072	149	7	haitham	haitham	PROPN
iajs-1072	149	8	j.	j.	PROPN
iajs-1072	149	9	for	for	ADP
iajs-1072	149	10	pure	pure	PROPN
iajs-1072	149	11	&	&	CCONJ
iajs-1072	149	12	appl	appl	PROPN
iajs-1072	149	13	.	.	PUNCT
iajs-1072	150	1	sci	sci	PROPN
iajs-1072	150	2	.	.	PUNCT
iajs-1072	150	3	vol	vol	NOUN
iajs-1072	150	4	.	.	PROPN
iajs-1072	150	5	30	30	NUM
iajs-1072	150	6	(	(	PUNCT
iajs-1072	150	7	1	1	NUM
iajs-1072	150	8	)	)	PUNCT
iajs-1072	150	9	2017	2017	NUM
iajs-1072	150	10			NOUN
iajs-1072	150	11	inverted	invert	VERB
iajs-1072	150	12	gamma	gamma	NOUN
iajs-1072	150	13	distribution	distribution	NOUN
iajs-1072	150	14	with	with	ADP
iajs-1072	150	15	2)β	2)β	NUM
iajs-1072	150	16	5,α	5,α	NUM
iajs-1072	150	17	(	(	PUNCT
iajs-1072	150	18			NUM
iajs-1072	150	19	for	for	ADP
iajs-1072	150	20	t=3.5	t=3.5	NUM
iajs-1072	150	21	.	.	PUNCT
iajs-1072	151	1	and	and	CCONJ
iajs-1072	151	2	we	we	PRON
iajs-1072	151	3	see	see	VERB
iajs-1072	151	4	in	in	ADP
iajs-1072	151	5	table	table	NOUN
iajs-1072	151	6	-3	-3	PUNCT
iajs-1072	151	7	,	,	PUNCT
iajs-1072	151	8	when	when	SCONJ
iajs-1072	151	9	the	the	DET
iajs-1072	151	10	true	true	ADJ
iajs-1072	151	11	value	value	NOUN
iajs-1072	151	12	of	of	ADP
iajs-1072	151	13	θ	θ	PROPN
iajs-1072	151	14	(	(	PUNCT
iajs-1072	151	15	1.5θ	1.5θ	NOUN
iajs-1072	151	16			NUM
iajs-1072	151	17	)	)	PUNCT
iajs-1072	151	18	and	and	CCONJ
iajs-1072	151	19	the	the	DET
iajs-1072	151	20	prior	prior	ADJ
iajs-1072	151	21	distribution	distribution	NOUN
iajs-1072	151	22	for	for	ADP
iajs-1072	151	23	θ	θ	PROPN
iajs-1072	151	24	is	be	AUX
iajs-1072	151	25			PRON
iajs-1072	151	26	non	non	ADJ
iajs-1072	151	27	-	-	ADJ
iajs-1072	151	28	informative	informative	ADJ
iajs-1072	151	29	distribution	distribution	NOUN
iajs-1072	151	30	with	with	ADP
iajs-1072	151	31	c=1	c=1	NOUN
iajs-1072	151	32	for	for	ADP
iajs-1072	151	33	t=0.5	t=0.5	NOUN
iajs-1072	151	34	,	,	PUNCT
iajs-1072	151	35	1.5	1.5	NUM
iajs-1072	151	36	,	,	PUNCT
iajs-1072	151	37	2.5	2.5	NUM
iajs-1072	151	38	.	.	PUNCT
iajs-1072	152	1			X
iajs-1072	152	2	inverse	inverse	ADJ
iajs-1072	152	3	chi	chi	ADJ
iajs-1072	152	4	-	-	PUNCT
iajs-1072	152	5	square	square	ADJ
iajs-1072	152	6	distribution	distribution	NOUN
iajs-1072	152	7	with	with	ADP
iajs-1072	152	8	v=4	v=4	NOUN
iajs-1072	152	9	for	for	ADP
iajs-1072	152	10	t=3.5	t=3.5	NUM
iajs-1072	152	11	.	.	PUNCT
iajs-1072	153	1	and	and	CCONJ
iajs-1072	153	2	we	we	PRON
iajs-1072	153	3	see	see	VERB
iajs-1072	153	4	in	in	ADP
iajs-1072	153	5	table	table	NOUN
iajs-1072	153	6	-4	-4	INTJ
iajs-1072	153	7	,	,	PUNCT
iajs-1072	153	8	when	when	SCONJ
iajs-1072	153	9	the	the	DET
iajs-1072	153	10	true	true	ADJ
iajs-1072	153	11	value	value	NOUN
iajs-1072	153	12	of	of	ADP
iajs-1072	153	13	θ	θ	PROPN
iajs-1072	153	14	(	(	PUNCT
iajs-1072	153	15	2.5θ	2.5θ	NOUN
iajs-1072	153	16			NUM
iajs-1072	153	17	)	)	PUNCT
iajs-1072	153	18	and	and	CCONJ
iajs-1072	153	19	the	the	DET
iajs-1072	153	20	prior	prior	ADJ
iajs-1072	153	21	distribution	distribution	NOUN
iajs-1072	153	22	for	for	ADP
iajs-1072	153	23	θ	θ	PROPN
iajs-1072	153	24	is	be	AUX
iajs-1072	153	25	non	non	ADJ
iajs-1072	153	26	-	-	ADJ
iajs-1072	153	27	informative	informative	ADJ
iajs-1072	153	28	distribution	distribution	NOUN
iajs-1072	153	29	with	with	ADP
iajs-1072	153	30	c=1	c=1	NOUN
iajs-1072	153	31	for	for	ADP
iajs-1072	153	32	all	all	PRON
iajs-1072	153	33	.	.	PUNCT
iajs-1072	154	1	see	see	VERB
iajs-1072	154	2	appendix	appendix	NOUN
iajs-1072	154	3	-	-	PUNCT
iajs-1072	154	4	e.	e.	PROPN
iajs-1072	154	5	we	we	PRON
iajs-1072	154	6	obtained	obtain	VERB
iajs-1072	154	7	a	a	DET
iajs-1072	154	8	good	good	ADJ
iajs-1072	154	9	estimation	estimation	NOUN
iajs-1072	154	10	according	accord	VERB
iajs-1072	154	11	to	to	ADP
iajs-1072	154	12	the	the	DET
iajs-1072	154	13	smallest	small	ADJ
iajs-1072	154	14	values	value	NOUN
iajs-1072	154	15	of	of	ADP
iajs-1072	154	16	mse	mse	NOUN
iajs-1072	154	17	for	for	ADP
iajs-1072	154	18	all	all	DET
iajs-1072	154	19	samples	sample	NOUN
iajs-1072	154	20	sizes	size	NOUN
iajs-1072	154	21	(	(	PUNCT
iajs-1072	154	22	n	n	CCONJ
iajs-1072	154	23	)	)	PUNCT
iajs-1072	154	24	comparative	comparative	ADJ
iajs-1072	154	25	to	to	ADP
iajs-1072	154	26	the	the	DET
iajs-1072	154	27	other	other	ADJ
iajs-1072	154	28	estimated	estimate	VERB
iajs-1072	154	29	values	value	NOUN
iajs-1072	154	30	for	for	ADP
iajs-1072	154	31	mse	mse	NOUN
iajs-1072	154	32	under	under	ADP
iajs-1072	154	33	the	the	DET
iajs-1072	154	34	second	second	ADJ
iajs-1072	154	35	proposed	propose	VERB
iajs-1072	154	36	loss	loss	NOUN
iajs-1072	154	37	function	function	NOUN
iajs-1072	154	38	.	.	PUNCT
iajs-1072	155	1	as	as	SCONJ
iajs-1072	155	2	we	we	PRON
iajs-1072	155	3	see	see	VERB
iajs-1072	155	4	in	in	ADP
iajs-1072	155	5	table	table	NOUN
iajs-1072	155	6	-5	-5	ADJ
iajs-1072	155	7	,	,	PUNCT
iajs-1072	155	8	when	when	SCONJ
iajs-1072	155	9	the	the	DET
iajs-1072	155	10	true	true	ADJ
iajs-1072	155	11	value	value	NOUN
iajs-1072	155	12	of	of	ADP
iajs-1072	155	13	θ	θ	PROPN
iajs-1072	155	14	(	(	PUNCT
iajs-1072	155	15	0.5θ	0.5θ	NOUN
iajs-1072	155	16			NOUN
iajs-1072	155	17	)	)	PUNCT
iajs-1072	155	18	and	and	CCONJ
iajs-1072	155	19	the	the	DET
iajs-1072	155	20	prior	prior	ADJ
iajs-1072	155	21	distribution	distribution	NOUN
iajs-1072	155	22	for	for	ADP
iajs-1072	155	23	θ	θ	PROPN
iajs-1072	155	24	is	be	AUX
iajs-1072	155	25			X
iajs-1072	155	26	inverted	inverted	ADJ
iajs-1072	155	27	gamma	gamma	NOUN
iajs-1072	155	28	distribution	distribution	NOUN
iajs-1072	155	29	with	with	ADP
iajs-1072	155	30	2)β	2)β	NUM
iajs-1072	155	31	5,α	5,α	NUM
iajs-1072	155	32	(	(	PUNCT
iajs-1072	155	33			NUM
iajs-1072	155	34	for	for	ADP
iajs-1072	155	35	t=0.5	t=0.5	NOUN
iajs-1072	155	36	.	.	PUNCT
iajs-1072	156	1			X
iajs-1072	156	2	improper	improper	ADJ
iajs-1072	156	3	distribution	distribution	NOUN
iajs-1072	156	4	with	with	ADP
iajs-1072	156	5	(	(	PUNCT
iajs-1072	156	6	a=9	a=9	NOUN
iajs-1072	156	7	,	,	PUNCT
iajs-1072	156	8	b=3	b=3	NOUN
iajs-1072	156	9	)	)	PUNCT
iajs-1072	156	10	for	for	ADP
iajs-1072	156	11	t=1.5	t=1.5	NOUN
iajs-1072	156	12	,	,	PUNCT
iajs-1072	156	13	2.5	2.5	NUM
iajs-1072	156	14	,	,	PUNCT
iajs-1072	156	15	3.5	3.5	NUM
iajs-1072	156	16	.	.	PUNCT
iajs-1072	157	1	and	and	CCONJ
iajs-1072	157	2	we	we	PRON
iajs-1072	157	3	see	see	VERB
iajs-1072	157	4	in	in	ADP
iajs-1072	157	5	table	table	NOUN
iajs-1072	157	6	-6	-6	PROPN
iajs-1072	157	7	,	,	PUNCT
iajs-1072	157	8	when	when	SCONJ
iajs-1072	157	9	the	the	DET
iajs-1072	157	10	true	true	ADJ
iajs-1072	157	11	value	value	NOUN
iajs-1072	157	12	of	of	ADP
iajs-1072	157	13	θ	θ	PROPN
iajs-1072	157	14	(	(	PUNCT
iajs-1072	157	15	1θ	1θ	PROPN
iajs-1072	157	16			NUM
iajs-1072	157	17	)	)	PUNCT
iajs-1072	157	18	and	and	CCONJ
iajs-1072	157	19	the	the	DET
iajs-1072	157	20	prior	prior	ADJ
iajs-1072	157	21	distribution	distribution	NOUN
iajs-1072	157	22	for	for	ADP
iajs-1072	157	23	θ	θ	PROPN
iajs-1072	157	24	is	be	AUX
iajs-1072	157	25			PRON
iajs-1072	157	26	non	non	ADJ
iajs-1072	157	27	-	-	ADJ
iajs-1072	157	28	informative	informative	ADJ
iajs-1072	157	29	distribution	distribution	NOUN
iajs-1072	157	30	with	with	ADP
iajs-1072	157	31	c=1	c=1	NOUN
iajs-1072	157	32	for	for	ADP
iajs-1072	157	33	t=0.5	t=0.5	NOUN
iajs-1072	157	34	.	.	PUNCT
iajs-1072	158	1			PROPN
iajs-1072	158	2	inverted	invert	VERB
iajs-1072	158	3	gamma	gamma	NOUN
iajs-1072	158	4	distribution	distribution	NOUN
iajs-1072	158	5	with	with	ADP
iajs-1072	158	6	2)β	2)β	NUM
iajs-1072	158	7	5,α	5,α	NUM
iajs-1072	158	8	(	(	PUNCT
iajs-1072	158	9			NUM
iajs-1072	158	10	for	for	ADP
iajs-1072	158	11	t=1.5	t=1.5	NOUN
iajs-1072	158	12	,	,	PUNCT
iajs-1072	158	13	2.5	2.5	NUM
iajs-1072	158	14	.	.	PUNCT
iajs-1072	159	1			X
iajs-1072	159	2	improper	improper	ADJ
iajs-1072	159	3	distribution	distribution	NOUN
iajs-1072	159	4	with	with	ADP
iajs-1072	159	5	(	(	PUNCT
iajs-1072	159	6	a=9	a=9	NOUN
iajs-1072	159	7	,	,	PUNCT
iajs-1072	159	8	b=3	b=3	NOUN
iajs-1072	159	9	)	)	PUNCT
iajs-1072	159	10	for	for	ADP
iajs-1072	159	11	t=3.5	t=3.5	NUM
iajs-1072	159	12	.	.	PUNCT
iajs-1072	160	1	and	and	CCONJ
iajs-1072	160	2	we	we	PRON
iajs-1072	160	3	see	see	VERB
iajs-1072	160	4	in	in	ADP
iajs-1072	160	5	table	table	NOUN
iajs-1072	160	6	-7	-7	INTJ
iajs-1072	160	7	,	,	PUNCT
iajs-1072	160	8	when	when	SCONJ
iajs-1072	160	9	the	the	DET
iajs-1072	160	10	true	true	ADJ
iajs-1072	160	11	value	value	NOUN
iajs-1072	160	12	of	of	ADP
iajs-1072	160	13	θ	θ	PROPN
iajs-1072	160	14	(	(	PUNCT
iajs-1072	160	15	1.5θ	1.5θ	NOUN
iajs-1072	160	16			NUM
iajs-1072	160	17	)	)	PUNCT
iajs-1072	160	18	and	and	CCONJ
iajs-1072	160	19	the	the	DET
iajs-1072	160	20	prior	prior	ADJ
iajs-1072	160	21	distribution	distribution	NOUN
iajs-1072	160	22	for	for	ADP
iajs-1072	160	23	θ	θ	PROPN
iajs-1072	160	24	is	be	AUX
iajs-1072	160	25			PRON
iajs-1072	160	26	non	non	ADJ
iajs-1072	160	27	-	-	ADJ
iajs-1072	160	28	informative	informative	ADJ
iajs-1072	160	29	distribution	distribution	NOUN
iajs-1072	160	30	with	with	ADP
iajs-1072	160	31	c=1	c=1	NOUN
iajs-1072	160	32	for	for	ADP
iajs-1072	160	33	t=0.5	t=0.5	NOUN
iajs-1072	160	34	,	,	PUNCT
iajs-1072	160	35	1.5	1.5	NUM
iajs-1072	160	36	.	.	PUNCT
iajs-1072	161	1			X
iajs-1072	161	2	inverse	inverse	ADJ
iajs-1072	161	3	chi	chi	ADJ
iajs-1072	161	4	-	-	PUNCT
iajs-1072	161	5	square	square	ADJ
iajs-1072	161	6	distribution	distribution	NOUN
iajs-1072	161	7	with	with	ADP
iajs-1072	161	8	v=4	v=4	NOUN
iajs-1072	161	9	for	for	ADP
iajs-1072	161	10	t=2.5	t=2.5	NOUN
iajs-1072	161	11	.	.	PUNCT
iajs-1072	162	1			X
iajs-1072	162	2	inverted	invert	VERB
iajs-1072	162	3	gamma	gamma	NOUN
iajs-1072	162	4	distribution	distribution	NOUN
iajs-1072	162	5	with	with	ADP
iajs-1072	162	6	2)β	2)β	NUM
iajs-1072	162	7	5,α	5,α	NUM
iajs-1072	162	8	(	(	PUNCT
iajs-1072	162	9			NUM
iajs-1072	162	10	for	for	ADP
iajs-1072	162	11	t=3.5	t=3.5	NUM
iajs-1072	162	12	.	.	PUNCT
iajs-1072	163	1	and	and	CCONJ
iajs-1072	163	2	we	we	PRON
iajs-1072	163	3	see	see	VERB
iajs-1072	163	4	in	in	ADP
iajs-1072	163	5	table	table	NOUN
iajs-1072	163	6	-8	-8	NOUN
iajs-1072	163	7	,	,	PUNCT
iajs-1072	163	8	when	when	SCONJ
iajs-1072	163	9	the	the	DET
iajs-1072	163	10	true	true	ADJ
iajs-1072	163	11	value	value	NOUN
iajs-1072	163	12	of	of	ADP
iajs-1072	163	13	θ	θ	PROPN
iajs-1072	163	14	(	(	PUNCT
iajs-1072	163	15	2.5θ	2.5θ	NOUN
iajs-1072	163	16			NUM
iajs-1072	163	17	)	)	PUNCT
iajs-1072	163	18	and	and	CCONJ
iajs-1072	163	19	the	the	DET
iajs-1072	163	20	prior	prior	ADJ
iajs-1072	163	21	distribution	distribution	NOUN
iajs-1072	163	22	for	for	ADP
iajs-1072	163	23	θ	θ	PROPN
iajs-1072	163	24	is	be	AUX
iajs-1072	163	25			PRON
iajs-1072	163	26	non	non	ADJ
iajs-1072	163	27	-	-	ADJ
iajs-1072	163	28	informative	informative	ADJ
iajs-1072	163	29	distribution	distribution	NOUN
iajs-1072	163	30	with	with	ADP
iajs-1072	163	31	c=1	c=1	NOUN
iajs-1072	163	32	for	for	ADP
iajs-1072	163	33	t=0.5	t=0.5	NOUN
iajs-1072	163	34	,	,	PUNCT
iajs-1072	163	35	1.5	1.5	NUM
iajs-1072	163	36	,	,	PUNCT
iajs-1072	163	37	2.5	2.5	NUM
iajs-1072	163	38	.	.	PUNCT
iajs-1072	164	1			X
iajs-1072	164	2	inverse	inverse	ADJ
iajs-1072	164	3	chi	chi	ADJ
iajs-1072	164	4	-	-	PUNCT
iajs-1072	164	5	square	square	ADJ
iajs-1072	164	6	distribution	distribution	NOUN
iajs-1072	164	7	with	with	ADP
iajs-1072	164	8	v=4	v=4	NOUN
iajs-1072	164	9	for	for	ADP
iajs-1072	164	10	t=3.5	t=3.5	NUM
iajs-1072	164	11	.	.	PUNCT
iajs-1072	165	1	see	see	VERB
iajs-1072	165	2	the	the	DET
iajs-1072	165	3	summary	summary	NOUN
iajs-1072	165	4	of	of	ADP
iajs-1072	165	5	discussion	discussion	NOUN
iajs-1072	165	6	for	for	ADP
iajs-1072	165	7	)	)	PUNCT
iajs-1072	165	8	)	)	PUNCT
iajs-1072	166	1	t	t	PROPN
iajs-1072	166	2	(	(	PUNCT
iajs-1072	166	3	r	r	NOUN
iajs-1072	166	4	mse	mse	PROPN
iajs-1072	166	5	(	(	PUNCT
iajs-1072	166	6	^	^	PUNCT
iajs-1072	166	7	in	in	ADP
iajs-1072	166	8	tables	table	NOUN
iajs-1072	166	9	(	(	PUNCT
iajs-1072	166	10	9	9	NUM
iajs-1072	166	11	)	)	PUNCT
iajs-1072	166	12	and	and	CCONJ
iajs-1072	166	13	(	(	PUNCT
iajs-1072	166	14	10	10	NUM
iajs-1072	166	15	)	)	PUNCT
iajs-1072	166	16	in	in	ADP
iajs-1072	166	17	appendix	appendix	PROPN
iajs-1072	166	18	-	-	PUNCT
iajs-1072	166	19	e.	e.	PROPN
iajs-1072	166	20	conclusion	conclusion	NOUN
iajs-1072	166	21	when	when	SCONJ
iajs-1072	166	22	we	we	PRON
iajs-1072	166	23	compared	compare	VERB
iajs-1072	166	24	the	the	DET
iajs-1072	166	25	estimated	estimate	VERB
iajs-1072	166	26	values	value	NOUN
iajs-1072	166	27	for	for	ADP
iajs-1072	166	28	reliability	reliability	NOUN
iajs-1072	166	29	(	(	PUNCT
iajs-1072	166	30	r(t	r(t	NOUN
iajs-1072	166	31	)	)	PUNCT
iajs-1072	166	32	)	)	PUNCT
iajs-1072	166	33	of	of	ADP
iajs-1072	166	34	the	the	DET
iajs-1072	166	35	exponential	exponential	ADJ
iajs-1072	166	36	distribution	distribution	NOUN
iajs-1072	166	37	by	by	ADP
iajs-1072	166	38	using	use	VERB
iajs-1072	166	39	bayes	baye	NOUN
iajs-1072	166	40	with	with	ADP
iajs-1072	166	41	respect	respect	NOUN
iajs-1072	166	42	to	to	PART
iajs-1072	166	43	mean	mean	VERB
iajs-1072	166	44	square	square	ADJ
iajs-1072	166	45	errors	error	NOUN
iajs-1072	166	46	(	(	PUNCT
iajs-1072	166	47	mse	mse	NOUN
iajs-1072	166	48	)	)	PUNCT
iajs-1072	166	49	of	of	ADP
iajs-1072	166	50	estimated	estimate	VERB
iajs-1072	166	51	exponential	exponential	ADJ
iajs-1072	166	52	reliability	reliability	NOUN
iajs-1072	166	53	function	function	NOUN
iajs-1072	166	54	under	under	ADP
iajs-1072	166	55	the	the	DET
iajs-1072	166	56	two	two	NUM
iajs-1072	166	57	proposed	propose	VERB
iajs-1072	166	58	loss	loss	NOUN
iajs-1072	166	59	function	function	NOUN
iajs-1072	166	60	in	in	ADP
iajs-1072	166	61	this	this	DET
iajs-1072	166	62	study	study	NOUN
iajs-1072	166	63	.we	.we	PUNCT
iajs-1072	166	64	find	find	VERB
iajs-1072	166	65	that	that	SCONJ
iajs-1072	166	66	mse	mse	NOUN
iajs-1072	166	67	is	be	AUX
iajs-1072	166	68	decreasing	decrease	VERB
iajs-1072	166	69	when	when	SCONJ
iajs-1072	166	70	sample	sample	NOUN
iajs-1072	166	71	size	size	NOUN
iajs-1072	166	72	is	be	AUX
iajs-1072	166	73	increasing	increase	VERB
iajs-1072	166	74	in	in	ADP
iajs-1072	166	75	all	all	DET
iajs-1072	166	76	cases	case	NOUN
iajs-1072	166	77	.	.	PUNCT
iajs-1072	167	1	the	the	DET
iajs-1072	167	2	estimated	estimate	VERB
iajs-1072	167	3	values	value	NOUN
iajs-1072	167	4	for	for	ADP
iajs-1072	167	5	reliability	reliability	NOUN
iajs-1072	167	6	(	(	PUNCT
iajs-1072	167	7	)	)	PUNCT
iajs-1072	167	8	t	t	PROPN
iajs-1072	167	9	(	(	PUNCT
iajs-1072	167	10	r	r	NOUN
iajs-1072	167	11	pro.2	pro.2	NOUN
iajs-1072	167	12	^	^	PUNCT
iajs-1072	167	13	)	)	PUNCT
iajs-1072	167	14	under	under	ADP
iajs-1072	167	15	the	the	DET
iajs-1072	167	16	second	second	ADJ
iajs-1072	167	17	proposed	propose	VERB
iajs-1072	167	18	loss	loss	NOUN
iajs-1072	167	19	function	function	NOUN
iajs-1072	167	20	is	be	AUX
iajs-1072	167	21	the	the	DET
iajs-1072	167	22	best	good	ADJ
iajs-1072	167	23	of	of	ADP
iajs-1072	167	24	the	the	DET
iajs-1072	167	25	estimated	estimate	VERB
iajs-1072	167	26	values	value	NOUN
iajs-1072	167	27	for	for	ADP
iajs-1072	167	28	(	(	PUNCT
iajs-1072	167	29	)	)	PUNCT
iajs-1072	167	30	t	t	PROPN
iajs-1072	167	31	(	(	PUNCT
iajs-1072	167	32	r	r	NOUN
iajs-1072	167	33	pro.1	pro.1	NOUN
iajs-1072	167	34	^	^	PUNCT
iajs-1072	167	35	)	)	PUNCT
iajs-1072	167	36	under	under	ADP
iajs-1072	167	37	the	the	DET
iajs-1072	167	38	first	first	ADJ
iajs-1072	167	39	proposed	propose	VERB
iajs-1072	167	40	loss	loss	NOUN
iajs-1072	167	41	function	function	NOUN
iajs-1072	167	42	,	,	PUNCT
iajs-1072	167	43	according	accord	VERB
iajs-1072	167	44	to	to	ADP
iajs-1072	167	45	the	the	DET
iajs-1072	167	46	smallest	small	ADJ
iajs-1072	167	47	values	value	NOUN
iajs-1072	167	48	of	of	ADP
iajs-1072	167	49	mse	mse	NOUN
iajs-1072	167	50	for	for	ADP
iajs-1072	167	51	all	all	DET
iajs-1072	167	52	sample	sample	NOUN
iajs-1072	167	53	sizes	size	NOUN
iajs-1072	167	54	(	(	PUNCT
iajs-1072	167	55	n	n	CCONJ
iajs-1072	167	56	)	)	PUNCT
iajs-1072	167	57	,	,	PUNCT
iajs-1072	167	58	for	for	ADP
iajs-1072	167	59	the	the	DET
iajs-1072	167	60	same	same	ADJ
iajs-1072	167	61	prior	prior	ADJ
iajs-1072	167	62	distribution	distribution	NOUN
iajs-1072	167	63	for	for	ADP
iajs-1072	167	64	θ	θ	PROPN
iajs-1072	167	65	for	for	ADP
iajs-1072	167	66	some	some	DET
iajs-1072	167	67	t	t	NOUN
iajs-1072	167	68	,	,	PUNCT
iajs-1072	167	69	when	when	SCONJ
iajs-1072	167	70	the	the	DET
iajs-1072	167	71	true	true	ADJ
iajs-1072	167	72	value	value	NOUN
iajs-1072	167	73	of	of	ADP
iajs-1072	167	74	θ	θ	PROPN
iajs-1072	167	75	(	(	PUNCT
iajs-1072	167	76	2.5θ&0.5θ	2.5θ&0.5θ	NUM
iajs-1072	167	77			NUM
iajs-1072	167	78	)	)	PUNCT
iajs-1072	167	79	.see	.see	PUNCT
iajs-1072	167	80	tables	table	NOUN
iajs-1072	167	81	(	(	PUNCT
iajs-1072	167	82	9	9	NUM
iajs-1072	167	83	)	)	PUNCT
iajs-1072	167	84	and	and	CCONJ
iajs-1072	167	85	(	(	PUNCT
iajs-1072	167	86	10	10	NUM
iajs-1072	167	87	)	)	PUNCT
iajs-1072	167	88	in	in	ADP
iajs-1072	167	89	appendix	appendix	NOUN
iajs-1072	167	90	-	-	PUNCT
iajs-1072	167	91	e.	e.	PROPN
iajs-1072	167	92	also	also	ADV
iajs-1072	167	93	,	,	PUNCT
iajs-1072	167	94	we	we	PRON
iajs-1072	167	95	obtained	obtain	VERB
iajs-1072	167	96	mathematics	mathematic	NOUN
iajs-1072	167	97	|	|	ADV
iajs-1072	167	98	216	216	NUM
iajs-1072	167	99	7102	7102	NUM
iajs-1072	167	100	(	(	PUNCT
iajs-1072	167	101	عام	عام	ADP
iajs-1072	167	102	1العدد	1العدد	NUM
iajs-1072	167	103	)	)	PUNCT
iajs-1072	167	104	30مجلة	30مجلة	NUM
iajs-1072	167	105	إبن	إبن	VERB
iajs-1072	167	106	الهيثم	الهيثم	ADJ
iajs-1072	167	107	للعلوم	للعلوم	NOUN
iajs-1072	167	108	الصرفة	الصرفة	NOUN
iajs-1072	168	1	و	و	PRON
iajs-1072	168	2	التطبيقية	التطبيقية	ADV
iajs-1072	168	3	المجلد	المجلد	VERB
iajs-1072	168	4	ibn	ibn	PROPN
iajs-1072	168	5	al	al	PROPN
iajs-1072	168	6	-	-	PUNCT
iajs-1072	168	7	haitham	haitham	PROPN
iajs-1072	168	8	j.	j.	PROPN
iajs-1072	168	9	for	for	ADP
iajs-1072	168	10	pure	pure	PROPN
iajs-1072	168	11	&	&	CCONJ
iajs-1072	168	12	appl	appl	PROPN
iajs-1072	168	13	.	.	PUNCT
iajs-1072	169	1	sci	sci	PROPN
iajs-1072	169	2	.	.	PUNCT
iajs-1072	169	3	vol	vol	NOUN
iajs-1072	169	4	.	.	PROPN
iajs-1072	169	5	30	30	NUM
iajs-1072	169	6	(	(	PUNCT
iajs-1072	169	7	1	1	NUM
iajs-1072	169	8	)	)	PUNCT
iajs-1072	169	9	2017	2017	NUM
iajs-1072	169	10	a	a	DET
iajs-1072	169	11	good	good	ADJ
iajs-1072	169	12	estimation	estimation	NOUN
iajs-1072	169	13	according	accord	VERB
iajs-1072	169	14	to	to	ADP
iajs-1072	169	15	the	the	DET
iajs-1072	169	16	smallest	small	ADJ
iajs-1072	169	17	values	value	NOUN
iajs-1072	169	18	of	of	ADP
iajs-1072	169	19	mse	mse	NOUN
iajs-1072	169	20	for	for	ADP
iajs-1072	169	21	all	all	DET
iajs-1072	169	22	samples	sample	NOUN
iajs-1072	169	23	sizes	size	NOUN
iajs-1072	169	24	(	(	PUNCT
iajs-1072	169	25	n	n	CCONJ
iajs-1072	169	26	)	)	PUNCT
iajs-1072	169	27	comparative	comparative	ADJ
iajs-1072	169	28	to	to	ADP
iajs-1072	169	29	the	the	DET
iajs-1072	169	30	other	other	ADJ
iajs-1072	169	31	estimated	estimate	VERB
iajs-1072	169	32	values	value	NOUN
iajs-1072	169	33	for	for	ADP
iajs-1072	169	34	mse	mse	NOUN
iajs-1072	169	35	under	under	ADP
iajs-1072	169	36	the	the	DET
iajs-1072	169	37	second	second	ADJ
iajs-1072	169	38	proposed	propose	VERB
iajs-1072	169	39	loss	loss	NOUN
iajs-1072	169	40	function	function	NOUN
iajs-1072	169	41	,	,	PUNCT
iajs-1072	169	42	when	when	SCONJ
iajs-1072	169	43	the	the	DET
iajs-1072	169	44	prior	prior	ADJ
iajs-1072	169	45	distribution	distribution	NOUN
iajs-1072	169	46	for	for	ADP
iajs-1072	169	47	θ	θ	PROPN
iajs-1072	169	48	is	be	AUX
iajs-1072	169	49			PRON
iajs-1072	169	50	non	non	ADJ
iajs-1072	169	51	-	-	ADJ
iajs-1072	169	52	informative	informative	ADJ
iajs-1072	169	53	distribution	distribution	NOUN
iajs-1072	169	54	with	with	ADP
iajs-1072	169	55	c=1	c=1	NOUN
iajs-1072	169	56	for	for	ADP
iajs-1072	169	57	t=0.5	t=0.5	NOUN
iajs-1072	169	58	,	,	PUNCT
iajs-1072	169	59	and	and	CCONJ
iajs-1072	169	60	inverted	inverted	ADJ
iajs-1072	169	61	gamma	gamma	NOUN
iajs-1072	169	62	distribution	distribution	NOUN
iajs-1072	169	63	with	with	ADP
iajs-1072	169	64	2)β	2)β	NUM
iajs-1072	169	65	5,α	5,α	NUM
iajs-1072	169	66	(	(	PUNCT
iajs-1072	169	67			NUM
iajs-1072	169	68	for	for	ADP
iajs-1072	169	69	t=	t=	NOUN
iajs-1072	169	70	1.5	1.5	NUM
iajs-1072	169	71	,	,	PUNCT
iajs-1072	169	72	2.5	2.5	NUM
iajs-1072	169	73	when	when	SCONJ
iajs-1072	169	74	the	the	DET
iajs-1072	169	75	true	true	ADJ
iajs-1072	169	76	value	value	NOUN
iajs-1072	169	77	of	of	ADP
iajs-1072	169	78	θ	θ	PROPN
iajs-1072	169	79	(	(	PUNCT
iajs-1072	169	80	1θ	1θ	PROPN
iajs-1072	169	81			NOUN
iajs-1072	169	82	)	)	PUNCT
iajs-1072	169	83	.	.	PUNCT
iajs-1072	170	1			X
iajs-1072	170	2	non	non	ADJ
iajs-1072	170	3	-	-	ADJ
iajs-1072	170	4	informative	informative	ADJ
iajs-1072	170	5	distribution	distribution	NOUN
iajs-1072	170	6	with	with	ADP
iajs-1072	170	7	c=1	c=1	NOUN
iajs-1072	170	8	for	for	ADP
iajs-1072	170	9	t=0.5	t=0.5	NOUN
iajs-1072	170	10	and	and	CCONJ
iajs-1072	170	11	inverse	inverse	ADJ
iajs-1072	170	12	chi	chi	ADJ
iajs-1072	170	13	-	-	PUNCT
iajs-1072	170	14	square	square	ADJ
iajs-1072	170	15	distribution	distribution	NOUN
iajs-1072	170	16	with	with	ADP
iajs-1072	170	17	v=4	v=4	NOUN
iajs-1072	170	18	for	for	ADP
iajs-1072	170	19	t=2.5	t=2.5	NOUN
iajs-1072	170	20	,	,	PUNCT
iajs-1072	170	21	and	and	CCONJ
iajs-1072	170	22	inverted	inverted	ADJ
iajs-1072	170	23	gamma	gamma	NOUN
iajs-1072	170	24	distribution	distribution	NOUN
iajs-1072	170	25	with	with	ADP
iajs-1072	170	26	2)β	2)β	NUM
iajs-1072	170	27	5,α	5,α	NUM
iajs-1072	170	28	(	(	PUNCT
iajs-1072	170	29			NUM
iajs-1072	170	30	for	for	ADP
iajs-1072	170	31	t=	t=	NOUN
iajs-1072	170	32	3.5	3.5	NUM
iajs-1072	170	33	,	,	PUNCT
iajs-1072	170	34	when	when	SCONJ
iajs-1072	170	35	the	the	DET
iajs-1072	170	36	true	true	ADJ
iajs-1072	170	37	value	value	NOUN
iajs-1072	170	38	of	of	ADP
iajs-1072	170	39	θ	θ	PROPN
iajs-1072	170	40	(	(	PUNCT
iajs-1072	170	41	1.5θ	1.5θ	NOUN
iajs-1072	170	42			NUM
iajs-1072	170	43	)	)	PUNCT
iajs-1072	170	44	.	.	PUNCT
iajs-1072	171	1	see	see	VERB
iajs-1072	171	2	tables	table	NOUN
iajs-1072	171	3	(	(	PUNCT
iajs-1072	171	4	9	9	NUM
iajs-1072	171	5	)	)	PUNCT
iajs-1072	171	6	and	and	CCONJ
iajs-1072	171	7	(	(	PUNCT
iajs-1072	171	8	10	10	NUM
iajs-1072	171	9	)	)	PUNCT
iajs-1072	171	10	in	in	ADP
iajs-1072	171	11	appendix	appendix	PROPN
iajs-1072	171	12	-	-	PUNCT
iajs-1072	171	13	e.	e.	PROPN
iajs-1072	171	14	references	reference	NOUN
iajs-1072	171	15	1	1	NUM
iajs-1072	171	16	.	.	PUNCT
iajs-1072	171	17	chiou	chiou	NOUN
iajs-1072	171	18	,	,	PUNCT
iajs-1072	171	19	p.	p.	NOUN
iajs-1072	171	20	(	(	PUNCT
iajs-1072	171	21	1993),'empirical	1993),'empirical	NUM
iajs-1072	171	22	bayes	bayes	PROPN
iajs-1072	171	23	shrinkage	shrinkage	NOUN
iajs-1072	171	24	estimation	estimation	NOUN
iajs-1072	171	25	of	of	ADP
iajs-1072	171	26	reliability	reliability	NOUN
iajs-1072	171	27	in	in	ADP
iajs-1072	171	28	the	the	DET
iajs-1072	171	29	exponential	exponential	ADJ
iajs-1072	171	30	distribution'.comm	distribution'.comm	NOUN
iajs-1072	171	31	.	.	PUNCT
iajs-1072	172	1	statistic	statistic	NOUN
iajs-1072	172	2	,	,	PUNCT
iajs-1072	172	3	22(5):1483	22(5):1483	NUM
iajs-1072	172	4	-	-	SYM
iajs-1072	172	5	1494	1494	NUM
iajs-1072	172	6	.	.	PUNCT
iajs-1072	173	1	2	2	X
iajs-1072	173	2	.	.	X
iajs-1072	173	3	baklizi	baklizi	PROPN
iajs-1072	173	4	,	,	PUNCT
iajs-1072	173	5	a.	a.	NOUN
iajs-1072	173	6	,	,	PUNCT
iajs-1072	173	7	(	(	PUNCT
iajs-1072	173	8	2003	2003	NUM
iajs-1072	173	9	)	)	PUNCT
iajs-1072	173	10	,	,	PUNCT
iajs-1072	173	11	'	'	PUNCT
iajs-1072	173	12	shrinkage	shrinkage	NOUN
iajs-1072	173	13	estimation	estimation	NOUN
iajs-1072	173	14	of	of	ADP
iajs-1072	173	15	the	the	DET
iajs-1072	173	16	exponential	exponential	ADJ
iajs-1072	173	17	reliability	reliability	NOUN
iajs-1072	173	18	with	with	ADP
iajs-1072	173	19	censored	censored	ADJ
iajs-1072	173	20	data	datum	NOUN
iajs-1072	173	21	'	'	PUNCT
iajs-1072	173	22	.	.	PUNCT
iajs-1072	174	1	focus	focus	VERB
iajs-1072	174	2	on	on	ADP
iajs-1072	174	3	applied	applied	ADJ
iajs-1072	174	4	statistics	statistic	NOUN
iajs-1072	174	5	,	,	PUNCT
iajs-1072	174	6	nova	nova	PROPN
iajs-1072	174	7	science	science	PROPN
iajs-1072	174	8	publishers	publishers	PROPN
iajs-1072	174	9	inc	inc	PROPN
iajs-1072	174	10	.	.	PROPN
iajs-1072	175	1	ed	ed	PROPN
iajs-1072	175	2	.	.	PUNCT
iajs-1072	175	3	mhd	mhd	PROPN
iajs-1072	175	4	.	.	PUNCT
iajs-1072	176	1	ahsanullah	ahsanullah	NOUN
iajs-1072	176	2	.	.	PUNCT
iajs-1072	177	1	195	195	NUM
iajs-1072	177	2	-	-	SYM
iajs-1072	177	3	204	204	NUM
iajs-1072	177	4	.	.	PUNCT
iajs-1072	178	1	3	3	X
iajs-1072	178	2	.	.	X
iajs-1072	178	3	sarhan	sarhan	PROPN
iajs-1072	178	4	,	,	PUNCT
iajs-1072	178	5	a.	a.	NOUN
iajs-1072	178	6	m.	m.	NOUN
iajs-1072	178	7	,	,	PUNCT
iajs-1072	178	8	(	(	PUNCT
iajs-1072	178	9	2003	2003	NUM
iajs-1072	178	10	)	)	PUNCT
iajs-1072	178	11	,	,	PUNCT
iajs-1072	178	12	'	'	PUNCT
iajs-1072	178	13	empirical	empirical	ADJ
iajs-1072	178	14	bayes	bayes	PROPN
iajs-1072	178	15	estimates	estimate	NOUN
iajs-1072	178	16	in	in	ADP
iajs-1072	178	17	exponential	exponential	ADJ
iajs-1072	178	18	reliability	reliability	NOUN
iajs-1072	178	19	model	model	NOUN
iajs-1072	178	20	'	'	PART
iajs-1072	178	21	.	.	PUNCT
iajs-1072	179	1	appl	appl	PROPN
iajs-1072	179	2	.	.	PROPN
iajs-1072	179	3	math	math	PROPN
iajs-1072	179	4	.	.	PUNCT
iajs-1072	180	1	comput	comput	NOUN
iajs-1072	180	2	.	.	PUNCT
iajs-1072	181	1	135	135	NUM
iajs-1072	181	2	,	,	PUNCT
iajs-1072	181	3	2–3	2–3	NUM
iajs-1072	181	4	,	,	PUNCT
iajs-1072	181	5	319–332	319–332	NUM
iajs-1072	181	6	.	.	NOUN
iajs-1072	182	1	4	4	NUM
iajs-1072	182	2	.	.	X
iajs-1072	183	1	balakrishnan	balakrishnan	PROPN
iajs-1072	183	2	,	,	PUNCT
iajs-1072	183	3	n.	n.	PROPN
iajs-1072	183	4	,	,	PUNCT
iajs-1072	183	5	lin	lin	PROPN
iajs-1072	183	6	,	,	PUNCT
iajs-1072	183	7	c.t	c.t	PROPN
iajs-1072	183	8	.	.	PROPN
iajs-1072	183	9	and	and	CCONJ
iajs-1072	183	10	.	.	PUNCT
iajs-1072	184	1	chan	chan	PROPN
iajs-1072	184	2	,	,	PUNCT
iajs-1072	184	3	p.s	p.s	PROPN
iajs-1072	184	4	,	,	PUNCT
iajs-1072	184	5	(	(	PUNCT
iajs-1072	184	6	2005	2005	NUM
iajs-1072	184	7	)	)	PUNCT
iajs-1072	184	8	,	,	PUNCT
iajs-1072	184	9	'	'	PUNCT
iajs-1072	184	10	a	a	DET
iajs-1072	184	11	comparison	comparison	NOUN
iajs-1072	184	12	of	of	ADP
iajs-1072	184	13	two	two	NUM
iajs-1072	184	14	simple	simple	ADJ
iajs-1072	184	15	prediction	prediction	NOUN
iajs-1072	184	16	intervals	interval	NOUN
iajs-1072	184	17	for	for	ADP
iajs-1072	184	18	exponential	exponential	ADJ
iajs-1072	184	19	distribution	distribution	NOUN
iajs-1072	184	20	'	'	PUNCT
iajs-1072	184	21	.	.	PUNCT
iajs-1072	185	1	ieee	ieee	PROPN
iajs-1072	185	2	trans	trans	PROPN
iajs-1072	185	3	.	.	PROPN
iajs-1072	185	4	reliab	reliab	PROPN
iajs-1072	185	5	.	.	PUNCT
iajs-1072	186	1	,	,	PUNCT
iajs-1072	186	2	54(01	54(01	NUM
iajs-1072	186	3	):	):	PUNCT
iajs-1072	186	4	27	27	NUM
iajs-1072	186	5	-	-	SYM
iajs-1072	186	6	33	33	NUM
iajs-1072	186	7	.	.	NOUN
iajs-1072	187	1	5	5	NUM
iajs-1072	187	2	.	.	X
iajs-1072	187	3	friesl	friesl	PROPN
iajs-1072	187	4	,	,	PUNCT
iajs-1072	187	5	m.	m.	NOUN
iajs-1072	187	6	,	,	PUNCT
iajs-1072	187	7	and	and	CCONJ
iajs-1072	187	8	hurt	hurt	VERB
iajs-1072	187	9	,	,	PUNCT
iajs-1072	187	10	j.(2007	j.(2007	PROPN
iajs-1072	187	11	)	)	PUNCT
iajs-1072	187	12	,	,	PUNCT
iajs-1072	187	13	'	'	PUNCT
iajs-1072	187	14	on	on	ADP
iajs-1072	187	15	bayesian	bayesian	NOUN
iajs-1072	187	16	estimation	estimation	NOUN
iajs-1072	187	17	in	in	ADP
iajs-1072	187	18	exponential	exponential	ADJ
iajs-1072	187	19	distribution	distribution	NOUN
iajs-1072	187	20	under	under	ADP
iajs-1072	187	21	random	random	ADJ
iajs-1072	187	22	censorship	censorship	NOUN
iajs-1072	187	23	'	'	NOUN
iajs-1072	187	24	,	,	PUNCT
iajs-1072	187	25	kybernetika	kybernetika	X
iajs-1072	187	26	(	(	PUNCT
iajs-1072	187	27	4	4	NUM
iajs-1072	187	28	3	3	NUM
iajs-1072	187	29	)	)	PUNCT
iajs-1072	187	30	,	,	PUNCT
iajs-1072	187	31	(	(	PUNCT
iajs-1072	187	32	1	1	NUM
iajs-1072	187	33	)	)	PUNCT
iajs-1072	187	34	,	,	PUNCT
iajs-1072	187	35	(	(	PUNCT
iajs-1072	187	36	4	4	NUM
iajs-1072	187	37	5	5	NUM
iajs-1072	187	38	–	–	PUNCT
iajs-1072	187	39	6	6	NUM
iajs-1072	187	40	0	0	NUM
iajs-1072	187	41	)	)	PUNCT
iajs-1072	187	42	6	6	NUM
iajs-1072	187	43	.	.	PUNCT
iajs-1072	188	1	liu	liu	PROPN
iajs-1072	188	2	,	,	PUNCT
iajs-1072	188	3	m	m	PROPN
iajs-1072	188	4	and	and	CCONJ
iajs-1072	188	5	ren	ren	PROPN
iajs-1072	188	6	,	,	PUNCT
iajs-1072	188	7	h.	h.	PROPN
iajs-1072	188	8	,	,	PUNCT
iajs-1072	188	9	(	(	PUNCT
iajs-1072	188	10	2013),'empirical	2013),'empirical	ADJ
iajs-1072	188	11	bayes	bayes	PROPN
iajs-1072	188	12	estimation	estimation	NOUN
iajs-1072	188	13	for	for	ADP
iajs-1072	188	14	exponential	exponential	ADJ
iajs-1072	188	15	model	model	NOUN
iajs-1072	188	16	using	use	VERB
iajs-1072	188	17	non	non	ADJ
iajs-1072	188	18	-	-	ADJ
iajs-1072	188	19	parameter	parameter	ADJ
iajs-1072	188	20	polynomial	polynomial	ADJ
iajs-1072	188	21	density	density	NOUN
iajs-1072	188	22	estimator	estimator	NOUN
iajs-1072	188	23	'	'	PART
iajs-1072	188	24	,	,	PUNCT
iajs-1072	188	25	research	research	NOUN
iajs-1072	188	26	journal	journal	NOUN
iajs-1072	188	27	of	of	ADP
iajs-1072	188	28	applied	apply	VERB
iajs-1072	188	29	sciences	science	NOUN
iajs-1072	188	30	,	,	PUNCT
iajs-1072	188	31	engineering	engineering	NOUN
iajs-1072	188	32	and	and	CCONJ
iajs-1072	188	33	technology	technology	NOUN
iajs-1072	188	34	5(2	5(2	NUM
iajs-1072	188	35	):	):	PUNCT
iajs-1072	188	36	392-397.issn	392-397.issn	NUM
iajs-1072	188	37	:	:	PUNCT
iajs-1072	188	38	2040	2040	NUM
iajs-1072	188	39	-	-	SYM
iajs-1072	188	40	7459	7459	NUM
iajs-1072	188	41	;	;	PUNCT
iajs-1072	188	42	e	e	X
iajs-1072	188	43	-	-	PUNCT
iajs-1072	188	44	issn	issn	NOUN
iajs-1072	188	45	:	:	PUNCT
iajs-1072	188	46	2040	2040	NUM
iajs-1072	188	47	-	-	SYM
iajs-1072	188	48	7467	7467	NUM
iajs-1072	188	49	.	.	PUNCT
iajs-1072	189	1	©	©	PROPN
iajs-1072	189	2	maxwell	maxwell	PROPN
iajs-1072	189	3	scientific	scientific	ADJ
iajs-1072	189	4	organization	organization	NOUN
iajs-1072	189	5	,	,	PUNCT
iajs-1072	189	6	2013	2013	NUM
iajs-1072	189	7	.	.	PUNCT
iajs-1072	190	1	7	7	X
iajs-1072	190	2	.	.	X
iajs-1072	190	3	bickel	bickel	PROPN
iajs-1072	190	4	.	.	PUNCT
iajs-1072	191	1	p.j	p.j	PROPN
iajs-1072	191	2	.	.	PROPN
iajs-1072	191	3	&	&	CCONJ
iajs-1072	191	4	doksum	doksum	PROPN
iajs-1072	191	5	,	,	PUNCT
iajs-1072	191	6	k.	k.	PROPN
iajs-1072	191	7	a.	a.	PROPN
iajs-1072	191	8	,	,	PUNCT
iajs-1072	191	9	(	(	PUNCT
iajs-1072	191	10	1977	1977	NUM
iajs-1072	191	11	)	)	PUNCT
iajs-1072	191	12	.	.	PUNCT
iajs-1072	192	1	mathematical	mathematical	ADJ
iajs-1072	192	2	statistics	statistic	NOUN
iajs-1072	192	3	:	:	PUNCT
iajs-1072	192	4	basic	basic	ADJ
iajs-1072	192	5	ideas	idea	NOUN
iajs-1072	192	6	and	and	CCONJ
iajs-1072	192	7	selected	select	VERB
iajs-1072	192	8	topics	topic	NOUN
iajs-1072	192	9	"	"	PUNCT
iajs-1072	192	10	,	,	PUNCT
iajs-1072	192	11	holdenday	holdenday	PROPN
iajs-1072	192	12	,	,	PUNCT
iajs-1072	192	13	inc	inc	PROPN
iajs-1072	192	14	.	.	PROPN
iajs-1072	192	15	,	,	PUNCT
iajs-1072	192	16	san	san	PROPN
iajs-1072	192	17	francisco	francisco	PROPN
iajs-1072	192	18	.	.	PUNCT
iajs-1072	192	19	8	8	NUM
iajs-1072	192	20	.	.	PUNCT
iajs-1072	193	1	the	the	DET
iajs-1072	193	2	inverse	inverse	NOUN
iajs-1072	193	3	-	-	PUNCT
iajs-1072	193	4	chi	chi	NOUN
iajs-1072	193	5	-	-	PUNCT
iajs-1072	193	6	squared	square	VERB
iajs-1072	193	7	distribution	distribution	NOUN
iajs-1072	193	8	.	.	PUNCT
iajs-1072	194	1	(	(	PUNCT
iajs-1072	194	2	2013	2013	NUM
iajs-1072	194	3	)	)	PUNCT
iajs-1072	194	4	.	.	PUNCT
iajs-1072	195	1	available	available	ADJ
iajs-1072	195	2	at	at	ADP
iajs-1072	195	3	:	:	PUNCT
iajs-1072	195	4	from	from	ADP
iajs-1072	195	5	wikipedia	wikipedia	PROPN
iajs-1072	195	6	,	,	PUNCT
iajs-1072	195	7	the	the	DET
iajs-1072	195	8	free	free	ADJ
iajs-1072	195	9	encyclopedia	encyclopedia	NOUN
iajs-1072	195	10	.	.	PUNCT
iajs-1072	196	1	this	this	DET
iajs-1072	196	2	page	page	NOUN
iajs-1072	196	3	was	be	AUX
iajs-1072	196	4	last	last	ADV
iajs-1072	196	5	modified	modify	VERB
iajs-1072	196	6	on	on	ADP
iajs-1072	196	7	19	19	NUM
iajs-1072	196	8	april	april	PROPN
iajs-1072	196	9	2014	2014	NUM
iajs-1072	196	10	,	,	PUNCT
iajs-1072	196	11	http://en.wikipedia.org/wiki	http://en.wikipedia.org/wiki	PROPN
iajs-1072	196	12	.	.	NOUN
iajs-1072	196	13	9	9	NUM
iajs-1072	196	14	.	.	X
iajs-1072	197	1	the	the	DET
iajs-1072	197	2	inverse	inverse	ADJ
iajs-1072	197	3	gamma	gamma	NOUN
iajs-1072	197	4	distribution	distribution	NOUN
iajs-1072	197	5	.	.	PUNCT
iajs-1072	198	1	(	(	PUNCT
iajs-1072	198	2	2015	2015	NUM
iajs-1072	198	3	)	)	PUNCT
iajs-1072	198	4	.	.	PUNCT
iajs-1072	199	1	available	available	ADJ
iajs-1072	199	2	at	at	ADP
iajs-1072	199	3	:	:	PUNCT
iajs-1072	199	4	from	from	ADP
iajs-1072	199	5	wikipedia	wikipedia	PROPN
iajs-1072	199	6	,	,	PUNCT
iajs-1072	199	7	the	the	DET
iajs-1072	199	8	free	free	ADJ
iajs-1072	199	9	encyclopedia	encyclopedia	NOUN
iajs-1072	199	10	.	.	PUNCT
iajs-1072	200	1	this	this	DET
iajs-1072	200	2	page	page	NOUN
iajs-1072	200	3	was	be	AUX
iajs-1072	200	4	last	last	ADV
iajs-1072	200	5	modified	modify	VERB
iajs-1072	200	6	on	on	ADP
iajs-1072	200	7	30	30	NUM
iajs-1072	200	8	october	october	NOUN
iajs-1072	200	9	2015	2015	NUM
iajs-1072	200	10	,	,	PUNCT
iajs-1072	200	11	http://en.wikipedia.org/wiki	http://en.wikipedia.org/wiki	PROPN
iajs-1072	200	12	.	.	PUNCT
iajs-1072	201	1	http://en.wikipedia.org/wiki	http://en.wikipedia.org/wiki	ADJ
iajs-1072	201	2	http://en.wikipedia.org/wiki	http://en.wikipedia.org/wiki	ADJ
iajs-1072	201	3	mathematics	mathematic	NOUN
iajs-1072	201	4	|	|	ADV
iajs-1072	201	5	217	217	NUM
iajs-1072	201	6	7102	7102	NUM
iajs-1072	201	7	(	(	PUNCT
iajs-1072	201	8	عام	عام	ADP
iajs-1072	201	9	1العدد	1العدد	NUM
iajs-1072	201	10	)	)	PUNCT
iajs-1072	201	11	30مجلة	30مجلة	NUM
iajs-1072	201	12	إبن	إبن	VERB
iajs-1072	201	13	الهيثم	الهيثم	ADJ
iajs-1072	201	14	للعلوم	للعلوم	NOUN
iajs-1072	201	15	الصرفة	الصرفة	NOUN
iajs-1072	202	1	و	و	PRON
iajs-1072	202	2	التطبيقية	التطبيقية	ADV
iajs-1072	202	3	المجلد	المجلد	VERB
iajs-1072	202	4	ibn	ibn	PROPN
iajs-1072	202	5	al	al	PROPN
iajs-1072	202	6	-	-	PUNCT
iajs-1072	202	7	haitham	haitham	PROPN
iajs-1072	202	8	j.	j.	PROPN
iajs-1072	202	9	for	for	ADP
iajs-1072	202	10	pure	pure	PROPN
iajs-1072	202	11	&	&	CCONJ
iajs-1072	202	12	appl	appl	PROPN
iajs-1072	202	13	.	.	PUNCT
iajs-1072	203	1	sci	sci	PROPN
iajs-1072	203	2	.	.	PUNCT
iajs-1072	203	3	vol	vol	NOUN
iajs-1072	203	4	.	.	PROPN
iajs-1072	203	5	30	30	NUM
iajs-1072	203	6	(	(	PUNCT
iajs-1072	203	7	1	1	NUM
iajs-1072	203	8	)	)	PUNCT
iajs-1072	203	9	2017	2017	NUM
iajs-1072	203	10	appendix	appendix	NOUN
iajs-1072	203	11	-	-	PUNCT
iajs-1072	203	12	a	a	NOUN
iajs-1072	203	13	:	:	PUNCT
iajs-1072	203	14	the	the	DET
iajs-1072	203	15	posterior	posterior	ADJ
iajs-1072	203	16	distribution	distribution	NOUN
iajs-1072	203	17	using	use	VERB
iajs-1072	203	18	different	different	ADJ
iajs-1072	203	19	priors	prior	NOUN
iajs-1072	203	20	.	.	PUNCT
iajs-1072	204	1	mathematics	mathematic	NOUN
iajs-1072	204	2	|	|	ADV
iajs-1072	204	3	218	218	NUM
iajs-1072	204	4	7102	7102	NUM
iajs-1072	204	5	(	(	PUNCT
iajs-1072	204	6	عام	عام	ADP
iajs-1072	204	7	1العدد	1العدد	NUM
iajs-1072	204	8	)	)	PUNCT
iajs-1072	204	9	30مجلة	30مجلة	NUM
iajs-1072	204	10	إبن	إبن	VERB
iajs-1072	204	11	الهيثم	الهيثم	ADJ
iajs-1072	204	12	للعلوم	للعلوم	NOUN
iajs-1072	204	13	الصرفة	الصرفة	NOUN
iajs-1072	205	1	و	و	PRON
iajs-1072	205	2	التطبيقية	التطبيقية	ADV
iajs-1072	205	3	المجلد	المجلد	VERB
iajs-1072	205	4	ibn	ibn	PROPN
iajs-1072	205	5	al	al	PROPN
iajs-1072	205	6	-	-	PUNCT
iajs-1072	205	7	haitham	haitham	PROPN
iajs-1072	205	8	j.	j.	PROPN
iajs-1072	205	9	for	for	ADP
iajs-1072	205	10	pure	pure	PROPN
iajs-1072	205	11	&	&	CCONJ
iajs-1072	205	12	appl	appl	PROPN
iajs-1072	205	13	.	.	PUNCT
iajs-1072	206	1	sci	sci	PROPN
iajs-1072	206	2	.	.	PUNCT
iajs-1072	206	3	vol	vol	NOUN
iajs-1072	206	4	.	.	PROPN
iajs-1072	206	5	30	30	NUM
iajs-1072	206	6	(	(	PUNCT
iajs-1072	206	7	1	1	NUM
iajs-1072	206	8	)	)	PUNCT
iajs-1072	206	9	2017	2017	NUM
iajs-1072	206	10	mathematics	mathematic	NOUN
iajs-1072	206	11	|	|	ADV
iajs-1072	206	12	219	219	NUM
iajs-1072	206	13	7102	7102	NUM
iajs-1072	206	14	(	(	PUNCT
iajs-1072	206	15	عام	عام	ADP
iajs-1072	206	16	1العدد	1العدد	NUM
iajs-1072	206	17	)	)	PUNCT
iajs-1072	206	18	30مجلة	30مجلة	NUM
iajs-1072	206	19	إبن	إبن	VERB
iajs-1072	206	20	الهيثم	الهيثم	ADJ
iajs-1072	206	21	للعلوم	للعلوم	NOUN
iajs-1072	206	22	الصرفة	الصرفة	NOUN
iajs-1072	207	1	و	و	PRON
iajs-1072	207	2	التطبيقية	التطبيقية	ADV
iajs-1072	207	3	المجلد	المجلد	VERB
iajs-1072	207	4	ibn	ibn	PROPN
iajs-1072	207	5	al	al	PROPN
iajs-1072	207	6	-	-	PUNCT
iajs-1072	207	7	haitham	haitham	PROPN
iajs-1072	207	8	j.	j.	PROPN
iajs-1072	207	9	for	for	ADP
iajs-1072	207	10	pure	pure	PROPN
iajs-1072	207	11	&	&	CCONJ
iajs-1072	207	12	appl	appl	PROPN
iajs-1072	207	13	.	.	PUNCT
iajs-1072	208	1	sci	sci	PROPN
iajs-1072	208	2	.	.	PUNCT
iajs-1072	208	3	vol	vol	NOUN
iajs-1072	208	4	.	.	PROPN
iajs-1072	208	5	30	30	NUM
iajs-1072	208	6	(	(	PUNCT
iajs-1072	208	7	1	1	NUM
iajs-1072	208	8	)	)	PUNCT
iajs-1072	208	9	2017	2017	NUM
iajs-1072	208	10	mathematics	mathematic	NOUN
iajs-1072	208	11	|	|	ADV
iajs-1072	208	12	220	220	NUM
iajs-1072	208	13	7102	7102	NUM
iajs-1072	208	14	(	(	PUNCT
iajs-1072	208	15	عام	عام	ADP
iajs-1072	208	16	1العدد	1العدد	NUM
iajs-1072	208	17	)	)	PUNCT
iajs-1072	208	18	30مجلة	30مجلة	NUM
iajs-1072	208	19	إبن	إبن	VERB
iajs-1072	208	20	الهيثم	الهيثم	ADJ
iajs-1072	208	21	للعلوم	للعلوم	NOUN
iajs-1072	208	22	الصرفة	الصرفة	NOUN
iajs-1072	209	1	و	و	PRON
iajs-1072	209	2	التطبيقية	التطبيقية	ADV
iajs-1072	209	3	المجلد	المجلد	VERB
iajs-1072	209	4	ibn	ibn	PROPN
iajs-1072	209	5	al	al	PROPN
iajs-1072	209	6	-	-	PUNCT
iajs-1072	209	7	haitham	haitham	PROPN
iajs-1072	209	8	j.	j.	PROPN
iajs-1072	209	9	for	for	ADP
iajs-1072	209	10	pure	pure	PROPN
iajs-1072	209	11	&	&	CCONJ
iajs-1072	209	12	appl	appl	PROPN
iajs-1072	209	13	.	.	PUNCT
iajs-1072	210	1	sci	sci	PROPN
iajs-1072	210	2	.	.	PUNCT
iajs-1072	210	3	vol	vol	NOUN
iajs-1072	210	4	.	.	PROPN
iajs-1072	210	5	30	30	NUM
iajs-1072	210	6	(	(	PUNCT
iajs-1072	210	7	1	1	NUM
iajs-1072	210	8	)	)	PUNCT
iajs-1072	210	9	2017	2017	NUM
iajs-1072	210	10	mathematics	mathematic	NOUN
iajs-1072	210	11	|	|	ADV
iajs-1072	210	12	221	221	NUM
iajs-1072	210	13	7102	7102	NUM
iajs-1072	210	14	(	(	PUNCT
iajs-1072	210	15	عام	عام	ADP
iajs-1072	210	16	1العدد	1العدد	NUM
iajs-1072	210	17	)	)	PUNCT
iajs-1072	210	18	30مجلة	30مجلة	NUM
iajs-1072	210	19	إبن	إبن	VERB
iajs-1072	210	20	الهيثم	الهيثم	ADJ
iajs-1072	210	21	للعلوم	للعلوم	NOUN
iajs-1072	210	22	الصرفة	الصرفة	NOUN
iajs-1072	211	1	و	و	PRON
iajs-1072	211	2	التطبيقية	التطبيقية	ADV
iajs-1072	211	3	المجلد	المجلد	VERB
iajs-1072	211	4	ibn	ibn	PROPN
iajs-1072	211	5	al	al	PROPN
iajs-1072	211	6	-	-	PUNCT
iajs-1072	211	7	haitham	haitham	PROPN
iajs-1072	211	8	j.	j.	PROPN
iajs-1072	211	9	for	for	ADP
iajs-1072	211	10	pure	pure	PROPN
iajs-1072	211	11	&	&	CCONJ
iajs-1072	211	12	appl	appl	PROPN
iajs-1072	211	13	.	.	PUNCT
iajs-1072	212	1	sci	sci	PROPN
iajs-1072	212	2	.	.	PUNCT
iajs-1072	212	3	vol	vol	NOUN
iajs-1072	212	4	.	.	PROPN
iajs-1072	212	5	30	30	NUM
iajs-1072	212	6	(	(	PUNCT
iajs-1072	212	7	1	1	NUM
iajs-1072	212	8	)	)	PUNCT
iajs-1072	212	9	2017	2017	NUM
iajs-1072	212	10	appendix	appendix	NOUN
iajs-1072	212	11	-	-	PUNCT
iajs-1072	212	12	b	b	NOUN
iajs-1072	212	13	:	:	PUNCT
iajs-1072	212	14	the	the	DET
iajs-1072	212	15	following	follow	VERB
iajs-1072	212	16	is	be	AUX
iajs-1072	212	17	the	the	DET
iajs-1072	212	18	derivation	derivation	NOUN
iajs-1072	212	19	of	of	ADP
iajs-1072	212	20	these	these	DET
iajs-1072	212	21	estimators	estimator	NOUN
iajs-1072	212	22	under	under	ADP
iajs-1072	212	23	the	the	DET
iajs-1072	212	24	first	first	ADJ
iajs-1072	212	25	proposed	propose	VERB
iajs-1072	212	26	loss	loss	NOUN
iajs-1072	212	27	function	function	NOUN
iajs-1072	212	28	.	.	PUNCT
iajs-1072	213	1	mathematics	mathematic	NOUN
iajs-1072	213	2	|	|	ADV
iajs-1072	213	3	222	222	NUM
iajs-1072	213	4	7102	7102	NUM
iajs-1072	213	5	(	(	PUNCT
iajs-1072	213	6	عام	عام	ADP
iajs-1072	213	7	1العدد	1العدد	NUM
iajs-1072	213	8	)	)	PUNCT
iajs-1072	213	9	30مجلة	30مجلة	NUM
iajs-1072	213	10	إبن	إبن	VERB
iajs-1072	213	11	الهيثم	الهيثم	ADJ
iajs-1072	213	12	للعلوم	للعلوم	NOUN
iajs-1072	213	13	الصرفة	الصرفة	NOUN
iajs-1072	214	1	و	و	PRON
iajs-1072	214	2	التطبيقية	التطبيقية	ADV
iajs-1072	214	3	المجلد	المجلد	VERB
iajs-1072	214	4	ibn	ibn	PROPN
iajs-1072	214	5	al	al	PROPN
iajs-1072	214	6	-	-	PUNCT
iajs-1072	214	7	haitham	haitham	PROPN
iajs-1072	214	8	j.	j.	PROPN
iajs-1072	214	9	for	for	ADP
iajs-1072	214	10	pure	pure	PROPN
iajs-1072	214	11	&	&	CCONJ
iajs-1072	214	12	appl	appl	PROPN
iajs-1072	214	13	.	.	PUNCT
iajs-1072	215	1	sci	sci	PROPN
iajs-1072	215	2	.	.	PUNCT
iajs-1072	215	3	vol	vol	NOUN
iajs-1072	215	4	.	.	PROPN
iajs-1072	215	5	30	30	NUM
iajs-1072	215	6	(	(	PUNCT
iajs-1072	215	7	1	1	NUM
iajs-1072	215	8	)	)	PUNCT
iajs-1072	215	9	2017	2017	NUM
iajs-1072	215	10	mathematics	mathematic	NOUN
iajs-1072	215	11	|	|	ADV
iajs-1072	215	12	223	223	NUM
iajs-1072	215	13	7102	7102	NUM
iajs-1072	215	14	(	(	PUNCT
iajs-1072	215	15	عام	عام	ADP
iajs-1072	215	16	1العدد	1العدد	NUM
iajs-1072	215	17	)	)	PUNCT
iajs-1072	215	18	30مجلة	30مجلة	NUM
iajs-1072	215	19	إبن	إبن	VERB
iajs-1072	215	20	الهيثم	الهيثم	ADJ
iajs-1072	215	21	للعلوم	للعلوم	NOUN
iajs-1072	215	22	الصرفة	الصرفة	NOUN
iajs-1072	216	1	و	و	PRON
iajs-1072	216	2	التطبيقية	التطبيقية	ADV
iajs-1072	216	3	المجلد	المجلد	VERB
iajs-1072	216	4	ibn	ibn	PROPN
iajs-1072	216	5	al	al	PROPN
iajs-1072	216	6	-	-	PUNCT
iajs-1072	216	7	haitham	haitham	PROPN
iajs-1072	216	8	j.	j.	PROPN
iajs-1072	216	9	for	for	ADP
iajs-1072	216	10	pure	pure	PROPN
iajs-1072	216	11	&	&	CCONJ
iajs-1072	216	12	appl	appl	PROPN
iajs-1072	216	13	.	.	PUNCT
iajs-1072	217	1	sci	sci	PROPN
iajs-1072	217	2	.	.	PUNCT
iajs-1072	217	3	vol	vol	NOUN
iajs-1072	217	4	.	.	PROPN
iajs-1072	217	5	30	30	NUM
iajs-1072	217	6	(	(	PUNCT
iajs-1072	217	7	1	1	NUM
iajs-1072	217	8	)	)	PUNCT
iajs-1072	217	9	2017	2017	NUM
iajs-1072	217	10	mathematics	mathematic	NOUN
iajs-1072	217	11	|	|	ADV
iajs-1072	217	12	224	224	NUM
iajs-1072	217	13	7102	7102	NUM
iajs-1072	217	14	(	(	PUNCT
iajs-1072	217	15	عام	عام	ADP
iajs-1072	217	16	1العدد	1العدد	NUM
iajs-1072	217	17	)	)	PUNCT
iajs-1072	217	18	30مجلة	30مجلة	NUM
iajs-1072	217	19	إبن	إبن	VERB
iajs-1072	217	20	الهيثم	الهيثم	ADJ
iajs-1072	217	21	للعلوم	للعلوم	NOUN
iajs-1072	217	22	الصرفة	الصرفة	NOUN
iajs-1072	218	1	و	و	PRON
iajs-1072	218	2	التطبيقية	التطبيقية	ADV
iajs-1072	218	3	المجلد	المجلد	VERB
iajs-1072	218	4	ibn	ibn	PROPN
iajs-1072	218	5	al	al	PROPN
iajs-1072	218	6	-	-	PUNCT
iajs-1072	218	7	haitham	haitham	PROPN
iajs-1072	218	8	j.	j.	PROPN
iajs-1072	218	9	for	for	ADP
iajs-1072	218	10	pure	pure	PROPN
iajs-1072	218	11	&	&	CCONJ
iajs-1072	218	12	appl	appl	PROPN
iajs-1072	218	13	.	.	PUNCT
iajs-1072	219	1	sci	sci	PROPN
iajs-1072	219	2	.	.	PUNCT
iajs-1072	219	3	vol	vol	NOUN
iajs-1072	219	4	.	.	PROPN
iajs-1072	219	5	30	30	NUM
iajs-1072	219	6	(	(	PUNCT
iajs-1072	219	7	1	1	NUM
iajs-1072	219	8	)	)	PUNCT
iajs-1072	219	9	2017	2017	NUM
iajs-1072	219	10	mathematics	mathematic	NOUN
iajs-1072	219	11	|	|	ADV
iajs-1072	219	12	225	225	NUM
iajs-1072	219	13	7102	7102	NUM
iajs-1072	219	14	(	(	PUNCT
iajs-1072	219	15	عام	عام	ADP
iajs-1072	219	16	1العدد	1العدد	NUM
iajs-1072	219	17	)	)	PUNCT
iajs-1072	219	18	30مجلة	30مجلة	NUM
iajs-1072	219	19	إبن	إبن	VERB
iajs-1072	219	20	الهيثم	الهيثم	ADJ
iajs-1072	219	21	للعلوم	للعلوم	NOUN
iajs-1072	219	22	الصرفة	الصرفة	NOUN
iajs-1072	220	1	و	و	PRON
iajs-1072	220	2	التطبيقية	التطبيقية	ADV
iajs-1072	220	3	المجلد	المجلد	VERB
iajs-1072	220	4	ibn	ibn	PROPN
iajs-1072	220	5	al	al	PROPN
iajs-1072	220	6	-	-	PUNCT
iajs-1072	220	7	haitham	haitham	PROPN
iajs-1072	220	8	j.	j.	PROPN
iajs-1072	220	9	for	for	ADP
iajs-1072	220	10	pure	pure	PROPN
iajs-1072	220	11	&	&	CCONJ
iajs-1072	220	12	appl	appl	PROPN
iajs-1072	220	13	.	.	PUNCT
iajs-1072	221	1	sci	sci	PROPN
iajs-1072	221	2	.	.	PUNCT
iajs-1072	221	3	vol	vol	NOUN
iajs-1072	221	4	.	.	PROPN
iajs-1072	221	5	30	30	NUM
iajs-1072	221	6	(	(	PUNCT
iajs-1072	221	7	1	1	NUM
iajs-1072	221	8	)	)	PUNCT
iajs-1072	221	9	2017	2017	NUM
iajs-1072	221	10	appendix	appendix	NOUN
iajs-1072	221	11	-	-	PUNCT
iajs-1072	221	12	c	c	NOUN
iajs-1072	221	13	:	:	PUNCT
iajs-1072	221	14	the	the	DET
iajs-1072	221	15	following	follow	VERB
iajs-1072	221	16	is	be	AUX
iajs-1072	221	17	the	the	DET
iajs-1072	221	18	derivation	derivation	NOUN
iajs-1072	221	19	of	of	ADP
iajs-1072	221	20	these	these	DET
iajs-1072	221	21	estimators	estimator	NOUN
iajs-1072	221	22	under	under	ADP
iajs-1072	221	23	the	the	DET
iajs-1072	221	24	second	second	ADJ
iajs-1072	221	25	loss	loss	NOUN
iajs-1072	221	26	function	function	NOUN
iajs-1072	221	27	.	.	PUNCT
iajs-1072	222	1	mathematics	mathematic	NOUN
iajs-1072	222	2	|	|	ADV
iajs-1072	222	3	226	226	NUM
iajs-1072	222	4	7102	7102	NUM
iajs-1072	222	5	(	(	PUNCT
iajs-1072	222	6	عام	عام	ADP
iajs-1072	222	7	1العدد	1العدد	NUM
iajs-1072	222	8	)	)	PUNCT
iajs-1072	222	9	30مجلة	30مجلة	NUM
iajs-1072	222	10	إبن	إبن	VERB
iajs-1072	222	11	الهيثم	الهيثم	ADJ
iajs-1072	222	12	للعلوم	للعلوم	NOUN
iajs-1072	222	13	الصرفة	الصرفة	NOUN
iajs-1072	223	1	و	و	PRON
iajs-1072	223	2	التطبيقية	التطبيقية	ADV
iajs-1072	223	3	المجلد	المجلد	VERB
iajs-1072	223	4	ibn	ibn	PROPN
iajs-1072	223	5	al	al	PROPN
iajs-1072	223	6	-	-	PUNCT
iajs-1072	223	7	haitham	haitham	PROPN
iajs-1072	223	8	j.	j.	PROPN
iajs-1072	223	9	for	for	ADP
iajs-1072	223	10	pure	pure	PROPN
iajs-1072	223	11	&	&	CCONJ
iajs-1072	223	12	appl	appl	PROPN
iajs-1072	223	13	.	.	PUNCT
iajs-1072	224	1	sci	sci	PROPN
iajs-1072	224	2	.	.	PUNCT
iajs-1072	224	3	vol	vol	NOUN
iajs-1072	224	4	.	.	PROPN
iajs-1072	224	5	30	30	NUM
iajs-1072	224	6	(	(	PUNCT
iajs-1072	224	7	1	1	NUM
iajs-1072	224	8	)	)	PUNCT
iajs-1072	224	9	2017	2017	NUM
iajs-1072	224	10	mathematics	mathematic	NOUN
iajs-1072	224	11	|	|	ADV
iajs-1072	224	12	227	227	NUM
iajs-1072	224	13	7102	7102	NUM
iajs-1072	224	14	(	(	PUNCT
iajs-1072	224	15	عام	عام	ADP
iajs-1072	224	16	1العدد	1العدد	NUM
iajs-1072	224	17	)	)	PUNCT
iajs-1072	224	18	30مجلة	30مجلة	NUM
iajs-1072	224	19	إبن	إبن	VERB
iajs-1072	224	20	الهيثم	الهيثم	ADJ
iajs-1072	224	21	للعلوم	للعلوم	NOUN
iajs-1072	224	22	الصرفة	الصرفة	NOUN
iajs-1072	225	1	و	و	PRON
iajs-1072	225	2	التطبيقية	التطبيقية	ADV
iajs-1072	225	3	المجلد	المجلد	VERB
iajs-1072	225	4	ibn	ibn	PROPN
iajs-1072	225	5	al	al	PROPN
iajs-1072	225	6	-	-	PUNCT
iajs-1072	225	7	haitham	haitham	PROPN
iajs-1072	225	8	j.	j.	PROPN
iajs-1072	225	9	for	for	ADP
iajs-1072	225	10	pure	pure	PROPN
iajs-1072	225	11	&	&	CCONJ
iajs-1072	225	12	appl	appl	PROPN
iajs-1072	225	13	.	.	PUNCT
iajs-1072	226	1	sci	sci	PROPN
iajs-1072	226	2	.	.	PUNCT
iajs-1072	226	3	vol	vol	NOUN
iajs-1072	226	4	.	.	PROPN
iajs-1072	226	5	30	30	NUM
iajs-1072	226	6	(	(	PUNCT
iajs-1072	226	7	1	1	NUM
iajs-1072	226	8	)	)	PUNCT
iajs-1072	226	9	2017	2017	NUM
iajs-1072	226	10	mathematics	mathematic	NOUN
iajs-1072	226	11	|	|	ADV
iajs-1072	226	12	228	228	NUM
iajs-1072	226	13	7102	7102	NUM
iajs-1072	226	14	(	(	PUNCT
iajs-1072	226	15	عام	عام	ADP
iajs-1072	226	16	1العدد	1العدد	NUM
iajs-1072	226	17	)	)	PUNCT
iajs-1072	226	18	30مجلة	30مجلة	NUM
iajs-1072	226	19	إبن	إبن	VERB
iajs-1072	226	20	الهيثم	الهيثم	ADJ
iajs-1072	226	21	للعلوم	للعلوم	NOUN
iajs-1072	226	22	الصرفة	الصرفة	NOUN
iajs-1072	227	1	و	و	PRON
iajs-1072	227	2	التطبيقية	التطبيقية	ADV
iajs-1072	227	3	المجلد	المجلد	VERB
iajs-1072	227	4	ibn	ibn	PROPN
iajs-1072	227	5	al	al	PROPN
iajs-1072	227	6	-	-	PUNCT
iajs-1072	227	7	haitham	haitham	PROPN
iajs-1072	227	8	j.	j.	PROPN
iajs-1072	227	9	for	for	ADP
iajs-1072	227	10	pure	pure	PROPN
iajs-1072	227	11	&	&	CCONJ
iajs-1072	227	12	appl	appl	PROPN
iajs-1072	227	13	.	.	PUNCT
iajs-1072	228	1	sci	sci	PROPN
iajs-1072	228	2	.	.	PUNCT
iajs-1072	228	3	vol	vol	NOUN
iajs-1072	228	4	.	.	PROPN
iajs-1072	228	5	30	30	NUM
iajs-1072	228	6	(	(	PUNCT
iajs-1072	228	7	1	1	NUM
iajs-1072	228	8	)	)	PUNCT
iajs-1072	228	9	2017	2017	NUM
iajs-1072	228	10	mathematics	mathematic	NOUN
iajs-1072	228	11	|	|	ADV
iajs-1072	228	12	229	229	NUM
iajs-1072	228	13	7102	7102	NUM
iajs-1072	228	14	(	(	PUNCT
iajs-1072	228	15	عام	عام	ADP
iajs-1072	228	16	1العدد	1العدد	NUM
iajs-1072	228	17	)	)	PUNCT
iajs-1072	228	18	30مجلة	30مجلة	NUM
iajs-1072	228	19	إبن	إبن	VERB
iajs-1072	228	20	الهيثم	الهيثم	ADJ
iajs-1072	228	21	للعلوم	للعلوم	NOUN
iajs-1072	228	22	الصرفة	الصرفة	NOUN
iajs-1072	229	1	و	و	PRON
iajs-1072	229	2	التطبيقية	التطبيقية	ADV
iajs-1072	229	3	المجلد	المجلد	VERB
iajs-1072	229	4	ibn	ibn	PROPN
iajs-1072	229	5	al	al	PROPN
iajs-1072	229	6	-	-	PUNCT
iajs-1072	229	7	haitham	haitham	PROPN
iajs-1072	229	8	j.	j.	PROPN
iajs-1072	229	9	for	for	ADP
iajs-1072	229	10	pure	pure	PROPN
iajs-1072	229	11	&	&	CCONJ
iajs-1072	229	12	appl	appl	PROPN
iajs-1072	229	13	.	.	PUNCT
iajs-1072	230	1	sci	sci	PROPN
iajs-1072	230	2	.	.	PUNCT
iajs-1072	230	3	vol	vol	NOUN
iajs-1072	230	4	.	.	PROPN
iajs-1072	230	5	30	30	NUM
iajs-1072	230	6	(	(	PUNCT
iajs-1072	230	7	1	1	NUM
iajs-1072	230	8	)	)	PUNCT
iajs-1072	230	9	2017	2017	NUM
iajs-1072	230	10	the	the	DET
iajs-1072	230	11	following	follow	VERB
iajs-1072	230	12	is	be	AUX
iajs-1072	230	13	the	the	DET
iajs-1072	230	14	programs	program	NOUN
iajs-1072	230	15	algorithm	algorithm	NOUN
iajs-1072	230	16	.	.	PUNCT
iajs-1072	231	1	d	d	X
iajs-1072	231	2	-	-	PUNCT
iajs-1072	231	3	appendix	appendix	ADJ
iajs-1072	231	4	algorithm	algorithm	NOUN
iajs-1072	231	5	(	(	PUNCT
iajs-1072	231	6	1	1	NUM
iajs-1072	231	7	):	):	PUNCT
iajs-1072	231	8	to	to	PART
iajs-1072	231	9	compute	compute	VERB
iajs-1072	231	10	bayes	bayes	NOUN
iajs-1072	231	11	estimators	estimator	NOUN
iajs-1072	231	12	(	(	PUNCT
iajs-1072	231	13	)	)	PUNCT
iajs-1072	231	14	t	t	NOUN
iajs-1072	231	15	(	(	PUNCT
iajs-1072	231	16	r	r	NOUN
iajs-1072	231	17	pro.1(1	pro.1(1	NOUN
iajs-1072	231	18	)	)	PUNCT
iajs-1072	231	19	^	^	PUNCT
iajs-1072	231	20	)	)	PUNCT
iajs-1072	231	21	using	use	VERB
iajs-1072	231	22	inverse	inverse	NOUN
iajs-1072	231	23	chi	chi	NOUN
iajs-1072	231	24	-	-	PUNCT
iajs-1072	231	25	square	square	NOUN
iajs-1072	231	26	as	as	ADP
iajs-1072	231	27	prior	prior	ADJ
iajs-1072	231	28	distribution	distribution	NOUN
iajs-1072	231	29	for	for	ADP
iajs-1072	231	30	θ	θ	PROPN
iajs-1072	231	31	with	with	ADP
iajs-1072	231	32	mse	mse	NOUN
iajs-1072	231	33	for	for	ADP
iajs-1072	231	34	)	)	PUNCT
iajs-1072	231	35	t	t	PROPN
iajs-1072	231	36	(	(	PUNCT
iajs-1072	231	37	r	r	NOUN
iajs-1072	231	38	pro.1(1	pro.1(1	NOUN
iajs-1072	231	39	)	)	PUNCT
iajs-1072	231	40	^	^	PUNCT
iajs-1072	231	41	.	.	PUNCT
iajs-1072	232	1	note	note	NOUN
iajs-1072	232	2	(	(	PUNCT
iajs-1072	232	3	1	1	NUM
iajs-1072	232	4	):	):	PUNCT
iajs-1072	232	5	we	we	PRON
iajs-1072	232	6	can	can	AUX
iajs-1072	232	7	reformulate	reformulate	VERB
iajs-1072	232	8	the	the	DET
iajs-1072	232	9	algorithm	algorithm	NOUN
iajs-1072	232	10	(	(	PUNCT
iajs-1072	232	11	1	1	NUM
iajs-1072	232	12	)	)	PUNCT
iajs-1072	232	13	to	to	PART
iajs-1072	232	14	compute	compute	VERB
iajs-1072	232	15	bayes	bayes	NOUN
iajs-1072	232	16	estimators	estimator	NOUN
iajs-1072	232	17	for	for	ADP
iajs-1072	232	18	2,3,4i	2,3,4i	NUM
iajs-1072	232	19	)	)	PUNCT
iajs-1072	232	20	,	,	PUNCT
iajs-1072	232	21	t	t	PROPN
iajs-1072	232	22	(	(	PUNCT
iajs-1072	232	23	r	r	NOUN
iajs-1072	232	24	pro.1(i	pro.1(i	NOUN
iajs-1072	232	25	)	)	PUNCT
iajs-1072	232	26	^	^	PUNCT
iajs-1072	233	1			PROPN
iajs-1072	233	2	under	under	ADP
iajs-1072	233	3	using	use	VERB
iajs-1072	233	4	other	other	ADJ
iajs-1072	233	5	distributions	distribution	NOUN
iajs-1072	233	6	as	as	ADP
iajs-1072	233	7	prior	prior	ADJ
iajs-1072	233	8	distribution	distribution	NOUN
iajs-1072	233	9	for	for	ADP
iajs-1072	233	10	θ	θ	PROPN
iajs-1072	233	11	with	with	ADP
iajs-1072	233	12	mse	mse	NOUN
iajs-1072	233	13	for	for	ADP
iajs-1072	233	14	2,3,4i	2,3,4i	NUM
iajs-1072	233	15	)	)	PUNCT
iajs-1072	233	16	,	,	PUNCT
iajs-1072	233	17	t	t	PROPN
iajs-1072	233	18	(	(	PUNCT
iajs-1072	233	19	r	r	NOUN
iajs-1072	233	20	pro.1(i	pro.1(i	NOUN
iajs-1072	233	21	)	)	PUNCT
iajs-1072	233	22	^	^	PUNCT
iajs-1072	234	1			X
iajs-1072	234	2	.	.	PUNCT
iajs-1072	235	1	mathematics	mathematic	NOUN
iajs-1072	235	2	|	|	ADV
iajs-1072	235	3	230	230	NUM
iajs-1072	235	4	7102	7102	NUM
iajs-1072	235	5	(	(	PUNCT
iajs-1072	235	6	عام	عام	ADP
iajs-1072	235	7	1العدد	1العدد	NUM
iajs-1072	235	8	)	)	PUNCT
iajs-1072	235	9	30مجلة	30مجلة	NUM
iajs-1072	235	10	إبن	إبن	VERB
iajs-1072	235	11	الهيثم	الهيثم	ADJ
iajs-1072	235	12	للعلوم	للعلوم	NOUN
iajs-1072	235	13	الصرفة	الصرفة	NOUN
iajs-1072	236	1	و	و	PRON
iajs-1072	236	2	التطبيقية	التطبيقية	ADV
iajs-1072	236	3	المجلد	المجلد	VERB
iajs-1072	236	4	ibn	ibn	PROPN
iajs-1072	236	5	al	al	PROPN
iajs-1072	236	6	-	-	PUNCT
iajs-1072	236	7	haitham	haitham	PROPN
iajs-1072	236	8	j.	j.	PROPN
iajs-1072	236	9	for	for	ADP
iajs-1072	236	10	pure	pure	PROPN
iajs-1072	236	11	&	&	CCONJ
iajs-1072	236	12	appl	appl	PROPN
iajs-1072	236	13	.	.	PUNCT
iajs-1072	237	1	sci	sci	PROPN
iajs-1072	237	2	.	.	PUNCT
iajs-1072	237	3	vol	vol	NOUN
iajs-1072	237	4	.	.	PROPN
iajs-1072	237	5	30	30	NUM
iajs-1072	237	6	(	(	PUNCT
iajs-1072	237	7	1	1	NUM
iajs-1072	237	8	)	)	PUNCT
iajs-1072	237	9	2017	2017	NUM
iajs-1072	237	10	algorithm	algorithm	NOUN
iajs-1072	237	11	(	(	PUNCT
iajs-1072	237	12	2	2	NUM
iajs-1072	237	13	):	):	PUNCT
iajs-1072	237	14	to	to	PART
iajs-1072	237	15	compute	compute	VERB
iajs-1072	237	16	bayes	bayes	NOUN
iajs-1072	237	17	estimators	estimator	NOUN
iajs-1072	237	18	(	(	PUNCT
iajs-1072	237	19	)	)	PUNCT
iajs-1072	237	20	t	t	NOUN
iajs-1072	237	21	(	(	PUNCT
iajs-1072	237	22	r	r	NOUN
iajs-1072	237	23	pro.2(1	pro.2(1	NOUN
iajs-1072	237	24	)	)	PUNCT
iajs-1072	237	25	^	^	PUNCT
iajs-1072	237	26	)	)	PUNCT
iajs-1072	237	27	using	use	VERB
iajs-1072	237	28	inverse	inverse	NOUN
iajs-1072	237	29	chi	chi	NOUN
iajs-1072	237	30	-	-	PUNCT
iajs-1072	237	31	square	square	NOUN
iajs-1072	237	32	as	as	ADP
iajs-1072	237	33	prior	prior	ADJ
iajs-1072	237	34	distribution	distribution	NOUN
iajs-1072	237	35	for	for	ADP
iajs-1072	237	36	θ	θ	PROPN
iajs-1072	237	37	with	with	ADP
iajs-1072	237	38	mse	mse	NOUN
iajs-1072	237	39	for	for	ADP
iajs-1072	237	40	)	)	PUNCT
iajs-1072	237	41	t	t	PROPN
iajs-1072	237	42	(	(	PUNCT
iajs-1072	237	43	r	r	NOUN
iajs-1072	237	44	pro.2(1	pro.2(1	NOUN
iajs-1072	237	45	)	)	PUNCT
iajs-1072	237	46	^	^	PUNCT
iajs-1072	237	47	.	.	PUNCT
iajs-1072	238	1	note	note	NOUN
iajs-1072	238	2	(	(	PUNCT
iajs-1072	238	3	2	2	NUM
iajs-1072	238	4	):	):	PUNCT
iajs-1072	238	5	we	we	PRON
iajs-1072	238	6	can	can	AUX
iajs-1072	238	7	reformulate	reformulate	VERB
iajs-1072	238	8	the	the	DET
iajs-1072	238	9	algorithm	algorithm	NOUN
iajs-1072	238	10	(	(	PUNCT
iajs-1072	238	11	2	2	NUM
iajs-1072	238	12	)	)	PUNCT
iajs-1072	238	13	to	to	PART
iajs-1072	238	14	compute	compute	VERB
iajs-1072	238	15	bayes	bayes	NOUN
iajs-1072	238	16	estimators	estimator	NOUN
iajs-1072	238	17	for	for	ADP
iajs-1072	238	18	2,3,4i	2,3,4i	NUM
iajs-1072	238	19	)	)	PUNCT
iajs-1072	238	20	,	,	PUNCT
iajs-1072	238	21	t	t	PROPN
iajs-1072	238	22	(	(	PUNCT
iajs-1072	238	23	r	r	NOUN
iajs-1072	238	24	pro.2(i	pro.2(i	NOUN
iajs-1072	238	25	)	)	PUNCT
iajs-1072	238	26	^	^	PUNCT
iajs-1072	239	1			PROPN
iajs-1072	239	2	under	under	ADP
iajs-1072	239	3	using	use	VERB
iajs-1072	239	4	other	other	ADJ
iajs-1072	239	5	distributions	distribution	NOUN
iajs-1072	239	6	as	as	ADP
iajs-1072	239	7	prior	prior	ADJ
iajs-1072	239	8	distribution	distribution	NOUN
iajs-1072	239	9	for	for	ADP
iajs-1072	239	10	θ	θ	PROPN
iajs-1072	239	11	with	with	ADP
iajs-1072	239	12	mse	mse	NOUN
iajs-1072	239	13	for	for	ADP
iajs-1072	239	14	2,3,4i	2,3,4i	NUM
iajs-1072	239	15	)	)	PUNCT
iajs-1072	239	16	,	,	PUNCT
iajs-1072	239	17	t	t	PROPN
iajs-1072	239	18	(	(	PUNCT
iajs-1072	239	19	r	r	NOUN
iajs-1072	239	20	pro.2(i	pro.2(i	NOUN
iajs-1072	239	21	)	)	PUNCT
iajs-1072	239	22	^	^	PUNCT
iajs-1072	240	1			X
iajs-1072	240	2	.	.	PUNCT
iajs-1072	241	1	mathematics	mathematic	NOUN
iajs-1072	241	2	|	|	ADV
iajs-1072	241	3	231	231	NUM
iajs-1072	241	4	7102	7102	NUM
iajs-1072	241	5	(	(	PUNCT
iajs-1072	241	6	عام	عام	ADP
iajs-1072	241	7	1العدد	1العدد	NUM
iajs-1072	241	8	)	)	PUNCT
iajs-1072	241	9	30مجلة	30مجلة	NUM
iajs-1072	241	10	إبن	إبن	VERB
iajs-1072	241	11	الهيثم	الهيثم	ADJ
iajs-1072	241	12	للعلوم	للعلوم	NOUN
iajs-1072	241	13	الصرفة	الصرفة	NOUN
iajs-1072	242	1	و	و	PRON
iajs-1072	242	2	التطبيقية	التطبيقية	ADV
iajs-1072	242	3	المجلد	المجلد	VERB
iajs-1072	242	4	ibn	ibn	PROPN
iajs-1072	242	5	al	al	PROPN
iajs-1072	242	6	-	-	PUNCT
iajs-1072	242	7	haitham	haitham	PROPN
iajs-1072	242	8	j.	j.	PROPN
iajs-1072	242	9	for	for	ADP
iajs-1072	242	10	pure	pure	PROPN
iajs-1072	242	11	&	&	CCONJ
iajs-1072	242	12	appl	appl	PROPN
iajs-1072	242	13	.	.	PUNCT
iajs-1072	243	1	sci	sci	PROPN
iajs-1072	243	2	.	.	PUNCT
iajs-1072	243	3	vol	vol	NOUN
iajs-1072	243	4	.	.	PROPN
iajs-1072	243	5	30	30	NUM
iajs-1072	243	6	(	(	PUNCT
iajs-1072	243	7	1	1	NUM
iajs-1072	243	8	)	)	PUNCT
iajs-1072	243	9	2017	2017	NUM
iajs-1072	243	10	table(1	table(1	PROPN
iajs-1072	243	11	):	):	PUNCT
iajs-1072	243	12	mse	mse	NOUN
iajs-1072	243	13	of	of	ADP
iajs-1072	243	14	estimated	estimate	VERB
iajs-1072	243	15	exponential	exponential	ADJ
iajs-1072	243	16	reliability	reliability	NOUN
iajs-1072	243	17	function	function	NOUN
iajs-1072	243	18	under	under	ADP
iajs-1072	243	19	the	the	DET
iajs-1072	243	20	first	first	ADJ
iajs-1072	243	21	proposed	propose	VERB
iajs-1072	243	22	loss	loss	NOUN
iajs-1072	243	23	function	function	NOUN
iajs-1072	243	24	.	.	PUNCT
iajs-1072	244	1	table(2	table(2	NOUN
iajs-1072	244	2	):	):	PUNCT
iajs-1072	244	3	mse	mse	NOUN
iajs-1072	244	4	of	of	ADP
iajs-1072	244	5	estimated	estimate	VERB
iajs-1072	244	6	exponential	exponential	ADJ
iajs-1072	244	7	reliability	reliability	NOUN
iajs-1072	244	8	function	function	NOUN
iajs-1072	244	9	under	under	ADP
iajs-1072	244	10	the	the	DET
iajs-1072	244	11	first	first	ADJ
iajs-1072	244	12	proposed	propose	VERB
iajs-1072	244	13	loss	loss	NOUN
iajs-1072	244	14	function	function	NOUN
iajs-1072	244	15	.	.	PUNCT
iajs-1072	245	1	mathematics	mathematic	NOUN
iajs-1072	245	2	|	|	ADV
iajs-1072	245	3	232	232	NUM
iajs-1072	245	4	7102	7102	NUM
iajs-1072	245	5	(	(	PUNCT
iajs-1072	245	6	عام	عام	ADP
iajs-1072	245	7	1العدد	1العدد	NUM
iajs-1072	245	8	)	)	PUNCT
iajs-1072	245	9	30مجلة	30مجلة	NUM
iajs-1072	245	10	إبن	إبن	VERB
iajs-1072	245	11	الهيثم	الهيثم	ADJ
iajs-1072	245	12	للعلوم	للعلوم	NOUN
iajs-1072	245	13	الصرفة	الصرفة	NOUN
iajs-1072	246	1	و	و	PRON
iajs-1072	246	2	التطبيقية	التطبيقية	ADV
iajs-1072	246	3	المجلد	المجلد	VERB
iajs-1072	246	4	ibn	ibn	PROPN
iajs-1072	246	5	al	al	PROPN
iajs-1072	246	6	-	-	PUNCT
iajs-1072	246	7	haitham	haitham	PROPN
iajs-1072	246	8	j.	j.	PROPN
iajs-1072	246	9	for	for	ADP
iajs-1072	246	10	pure	pure	PROPN
iajs-1072	246	11	&	&	CCONJ
iajs-1072	246	12	appl	appl	PROPN
iajs-1072	246	13	.	.	PUNCT
iajs-1072	247	1	sci	sci	PROPN
iajs-1072	247	2	.	.	PUNCT
iajs-1072	247	3	vol	vol	NOUN
iajs-1072	247	4	.	.	PROPN
iajs-1072	247	5	30	30	NUM
iajs-1072	247	6	(	(	PUNCT
iajs-1072	247	7	1	1	NUM
iajs-1072	247	8	)	)	PUNCT
iajs-1072	248	1	2017	2017	NUM
iajs-1072	248	2	table(3	table(3	NOUN
iajs-1072	248	3	):	):	PUNCT
iajs-1072	248	4	mse	mse	PROPN
iajs-1072	248	5	of	of	ADP
iajs-1072	248	6	estimated	estimate	VERB
iajs-1072	248	7	exponential	exponential	ADJ
iajs-1072	248	8	reliability	reliability	NOUN
iajs-1072	248	9	function	function	NOUN
iajs-1072	248	10	under	under	ADP
iajs-1072	248	11	the	the	DET
iajs-1072	248	12	first	first	ADJ
iajs-1072	248	13	proposed	propose	VERB
iajs-1072	248	14	loss	loss	NOUN
iajs-1072	248	15	function	function	NOUN
iajs-1072	248	16	.	.	PUNCT
iajs-1072	249	1	table(4	table(4	PROPN
iajs-1072	249	2	):	):	PUNCT
iajs-1072	249	3	mse	mse	NOUN
iajs-1072	249	4	of	of	ADP
iajs-1072	249	5	estimated	estimate	VERB
iajs-1072	249	6	exponential	exponential	ADJ
iajs-1072	249	7	reliability	reliability	NOUN
iajs-1072	249	8	function	function	NOUN
iajs-1072	249	9	under	under	ADP
iajs-1072	249	10	the	the	DET
iajs-1072	249	11	first	first	ADJ
iajs-1072	249	12	proposed	propose	VERB
iajs-1072	249	13	loss	loss	NOUN
iajs-1072	249	14	function	function	NOUN
iajs-1072	249	15	.	.	PUNCT
iajs-1072	250	1	mathematics	mathematic	NOUN
iajs-1072	250	2	|	|	ADV
iajs-1072	250	3	233	233	NUM
iajs-1072	250	4	7102	7102	NUM
iajs-1072	250	5	(	(	PUNCT
iajs-1072	250	6	عام	عام	ADP
iajs-1072	250	7	1العدد	1العدد	NUM
iajs-1072	250	8	)	)	PUNCT
iajs-1072	250	9	30مجلة	30مجلة	NUM
iajs-1072	250	10	إبن	إبن	VERB
iajs-1072	250	11	الهيثم	الهيثم	ADJ
iajs-1072	250	12	للعلوم	للعلوم	NOUN
iajs-1072	250	13	الصرفة	الصرفة	NOUN
iajs-1072	251	1	و	و	PRON
iajs-1072	251	2	التطبيقية	التطبيقية	ADV
iajs-1072	251	3	المجلد	المجلد	VERB
iajs-1072	251	4	ibn	ibn	PROPN
iajs-1072	251	5	al	al	PROPN
iajs-1072	251	6	-	-	PUNCT
iajs-1072	251	7	haitham	haitham	PROPN
iajs-1072	251	8	j.	j.	PROPN
iajs-1072	251	9	for	for	ADP
iajs-1072	251	10	pure	pure	PROPN
iajs-1072	251	11	&	&	CCONJ
iajs-1072	251	12	appl	appl	PROPN
iajs-1072	251	13	.	.	PUNCT
iajs-1072	252	1	sci	sci	PROPN
iajs-1072	252	2	.	.	PUNCT
iajs-1072	252	3	vol	vol	NOUN
iajs-1072	252	4	.	.	PROPN
iajs-1072	252	5	30	30	NUM
iajs-1072	252	6	(	(	PUNCT
iajs-1072	252	7	1	1	NUM
iajs-1072	252	8	)	)	PUNCT
iajs-1072	252	9	2017	2017	NUM
iajs-1072	252	10	table(5	table(5	PROPN
iajs-1072	252	11	):	):	PUNCT
iajs-1072	252	12	mse	mse	NOUN
iajs-1072	252	13	of	of	ADP
iajs-1072	252	14	estimated	estimate	VERB
iajs-1072	252	15	exponential	exponential	ADJ
iajs-1072	252	16	reliability	reliability	NOUN
iajs-1072	252	17	function	function	NOUN
iajs-1072	252	18	under	under	ADP
iajs-1072	252	19	the	the	DET
iajs-1072	252	20	second	second	ADJ
iajs-1072	252	21	proposed	propose	VERB
iajs-1072	252	22	loss	loss	NOUN
iajs-1072	252	23	function	function	NOUN
iajs-1072	252	24	.	.	PUNCT
iajs-1072	253	1	table(6	table(6	PROPN
iajs-1072	253	2	):	):	PUNCT
iajs-1072	253	3	mse	mse	NOUN
iajs-1072	253	4	of	of	ADP
iajs-1072	253	5	estimated	estimate	VERB
iajs-1072	253	6	exponential	exponential	ADJ
iajs-1072	253	7	reliability	reliability	NOUN
iajs-1072	253	8	function	function	NOUN
iajs-1072	253	9	under	under	ADP
iajs-1072	253	10	the	the	DET
iajs-1072	253	11	second	second	ADJ
iajs-1072	253	12	proposed	propose	VERB
iajs-1072	253	13	loss	loss	NOUN
iajs-1072	253	14	function	function	NOUN
iajs-1072	253	15	.	.	PUNCT
iajs-1072	254	1	mathematics	mathematic	NOUN
iajs-1072	254	2	|	|	ADV
iajs-1072	254	3	234	234	NUM
iajs-1072	254	4	7102	7102	NUM
iajs-1072	254	5	(	(	PUNCT
iajs-1072	254	6	عام	عام	ADP
iajs-1072	254	7	1العدد	1العدد	NUM
iajs-1072	254	8	)	)	PUNCT
iajs-1072	254	9	30مجلة	30مجلة	NUM
iajs-1072	254	10	إبن	إبن	VERB
iajs-1072	254	11	الهيثم	الهيثم	ADJ
iajs-1072	254	12	للعلوم	للعلوم	NOUN
iajs-1072	254	13	الصرفة	الصرفة	NOUN
iajs-1072	255	1	و	و	PRON
iajs-1072	255	2	التطبيقية	التطبيقية	ADV
iajs-1072	255	3	المجلد	المجلد	VERB
iajs-1072	255	4	ibn	ibn	PROPN
iajs-1072	255	5	al	al	PROPN
iajs-1072	255	6	-	-	PUNCT
iajs-1072	255	7	haitham	haitham	PROPN
iajs-1072	255	8	j.	j.	PROPN
iajs-1072	255	9	for	for	ADP
iajs-1072	255	10	pure	pure	PROPN
iajs-1072	255	11	&	&	CCONJ
iajs-1072	255	12	appl	appl	PROPN
iajs-1072	255	13	.	.	PUNCT
iajs-1072	256	1	sci	sci	PROPN
iajs-1072	256	2	.	.	PUNCT
iajs-1072	256	3	vol	vol	NOUN
iajs-1072	256	4	.	.	PROPN
iajs-1072	256	5	30	30	NUM
iajs-1072	256	6	(	(	PUNCT
iajs-1072	256	7	1	1	NUM
iajs-1072	256	8	)	)	PUNCT
iajs-1072	256	9	2017	2017	NUM
iajs-1072	256	10	table(7	table(7	NOUN
iajs-1072	256	11	):	):	PUNCT
iajs-1072	256	12	mse	mse	NOUN
iajs-1072	256	13	of	of	ADP
iajs-1072	256	14	estimated	estimate	VERB
iajs-1072	256	15	exponential	exponential	ADJ
iajs-1072	256	16	reliability	reliability	NOUN
iajs-1072	256	17	function	function	NOUN
iajs-1072	256	18	under	under	ADP
iajs-1072	256	19	the	the	DET
iajs-1072	256	20	second	second	ADJ
iajs-1072	256	21	proposed	propose	VERB
iajs-1072	256	22	loss	loss	NOUN
iajs-1072	256	23	function	function	NOUN
iajs-1072	256	24	.	.	PUNCT
iajs-1072	257	1	table(8	table(8	NOUN
iajs-1072	257	2	):	):	PUNCT
iajs-1072	257	3	mse	mse	NOUN
iajs-1072	257	4	of	of	ADP
iajs-1072	257	5	estimated	estimate	VERB
iajs-1072	257	6	exponential	exponential	ADJ
iajs-1072	257	7	reliability	reliability	NOUN
iajs-1072	257	8	function	function	NOUN
iajs-1072	257	9	under	under	ADP
iajs-1072	257	10	the	the	DET
iajs-1072	257	11	second	second	ADJ
iajs-1072	257	12	proposed	propose	VERB
iajs-1072	257	13	loss	loss	NOUN
iajs-1072	257	14	function	function	NOUN
iajs-1072	257	15	.	.	PUNCT
iajs-1072	258	1	mathematics	mathematic	NOUN
iajs-1072	258	2	|	|	ADV
iajs-1072	258	3	235	235	NUM
iajs-1072	258	4	7102	7102	NUM
iajs-1072	258	5	(	(	PUNCT
iajs-1072	258	6	عام	عام	ADP
iajs-1072	258	7	1العدد	1العدد	NUM
iajs-1072	258	8	)	)	PUNCT
iajs-1072	258	9	30مجلة	30مجلة	NUM
iajs-1072	258	10	إبن	إبن	VERB
iajs-1072	258	11	الهيثم	الهيثم	ADJ
iajs-1072	258	12	للعلوم	للعلوم	NOUN
iajs-1072	258	13	الصرفة	الصرفة	NOUN
iajs-1072	259	1	و	و	PRON
iajs-1072	259	2	التطبيقية	التطبيقية	ADV
iajs-1072	259	3	المجلد	المجلد	VERB
iajs-1072	259	4	ibn	ibn	PROPN
iajs-1072	259	5	al	al	PROPN
iajs-1072	259	6	-	-	PUNCT
iajs-1072	259	7	haitham	haitham	PROPN
iajs-1072	259	8	j.	j.	PROPN
iajs-1072	259	9	for	for	ADP
iajs-1072	259	10	pure	pure	PROPN
iajs-1072	259	11	&	&	CCONJ
iajs-1072	259	12	appl	appl	PROPN
iajs-1072	259	13	.	.	PUNCT
iajs-1072	260	1	sci	sci	PROPN
iajs-1072	260	2	.	.	PUNCT
iajs-1072	260	3	vol	vol	NOUN
iajs-1072	260	4	.	.	PROPN
iajs-1072	260	5	30	30	NUM
iajs-1072	260	6	(	(	PUNCT
iajs-1072	260	7	1	1	NUM
iajs-1072	260	8	)	)	PUNCT
iajs-1072	260	9	2017	2017	NUM
iajs-1072	260	10	table(9	table(9	NOUN
iajs-1072	260	11	):	):	PUNCT
iajs-1072	260	12	best	good	ADJ
iajs-1072	260	13	estimation	estimation	NOUN
iajs-1072	260	14	according	accord	VERB
iajs-1072	260	15	to	to	ADP
iajs-1072	260	16	the	the	DET
iajs-1072	260	17	smallest	small	ADJ
iajs-1072	260	18	value	value	NOUN
iajs-1072	260	19	for	for	ADP
iajs-1072	260	20	)	)	PUNCT
iajs-1072	260	21	)	)	PUNCT
iajs-1072	261	1	t	t	NOUN
iajs-1072	261	2	(	(	PUNCT
iajs-1072	261	3	r	r	NOUN
iajs-1072	261	4	mse	mse	PROPN
iajs-1072	261	5	(	(	PUNCT
iajs-1072	261	6	^	^	PUNCT
iajs-1072	261	7	under	under	ADP
iajs-1072	261	8	the	the	DET
iajs-1072	261	9	first	first	ADJ
iajs-1072	261	10	proposed	propose	VERB
iajs-1072	261	11	loss	loss	NOUN
iajs-1072	261	12	function	function	NOUN
iajs-1072	261	13	.	.	PUNCT
iajs-1072	262	1	table(10	table(10	ADJ
iajs-1072	262	2	):	):	PUNCT
iajs-1072	262	3	best	good	ADJ
iajs-1072	262	4	estimation	estimation	NOUN
iajs-1072	262	5	according	accord	VERB
iajs-1072	262	6	to	to	ADP
iajs-1072	262	7	the	the	DET
iajs-1072	262	8	smallest	small	ADJ
iajs-1072	262	9	value	value	NOUN
iajs-1072	262	10	for	for	ADP
iajs-1072	262	11	)	)	PUNCT
iajs-1072	262	12	)	)	PUNCT
iajs-1072	263	1	t	t	NOUN
iajs-1072	263	2	(	(	PUNCT
iajs-1072	263	3	r	r	NOUN
iajs-1072	263	4	mse	mse	PROPN
iajs-1072	263	5	(	(	PUNCT
iajs-1072	263	6	^	^	PUNCT
iajs-1072	263	7	under	under	ADP
iajs-1072	263	8	the	the	DET
iajs-1072	263	9	second	second	ADJ
iajs-1072	263	10	proposed	propose	VERB
iajs-1072	263	11	loss	loss	NOUN
iajs-1072	263	12	function	function	NOUN
iajs-1072	263	13	.	.	PUNCT
iajs-1072	264	1	mathematics	mathematic	NOUN
iajs-1072	264	2	|	|	ADV
iajs-1072	264	3	236	236	NUM
iajs-1072	264	4	7102	7102	NUM
iajs-1072	264	5	(	(	PUNCT
iajs-1072	264	6	عام	عام	ADP
iajs-1072	264	7	1العدد	1العدد	NUM
iajs-1072	264	8	)	)	PUNCT
iajs-1072	264	9	30مجلة	30مجلة	NUM
iajs-1072	264	10	إبن	إبن	VERB
iajs-1072	264	11	الهيثم	الهيثم	ADJ
iajs-1072	264	12	للعلوم	للعلوم	NOUN
iajs-1072	264	13	الصرفة	الصرفة	NOUN
iajs-1072	265	1	و	و	PRON
iajs-1072	265	2	التطبيقية	التطبيقية	ADV
iajs-1072	265	3	المجلد	المجلد	VERB
iajs-1072	265	4	ibn	ibn	PROPN
iajs-1072	265	5	al	al	PROPN
iajs-1072	265	6	-	-	PUNCT
iajs-1072	265	7	haitham	haitham	PROPN
iajs-1072	265	8	j.	j.	PROPN
iajs-1072	265	9	for	for	ADP
iajs-1072	265	10	pure	pure	PROPN
iajs-1072	265	11	&	&	CCONJ
iajs-1072	265	12	appl	appl	PROPN
iajs-1072	265	13	.	.	PUNCT
iajs-1072	266	1	sci	sci	PROPN
iajs-1072	266	2	.	.	PUNCT
iajs-1072	266	3	vol	vol	NOUN
iajs-1072	266	4	.	.	PROPN
iajs-1072	266	5	30	30	NUM
iajs-1072	266	6	(	(	PUNCT
iajs-1072	266	7	1	1	NUM
iajs-1072	266	8	)	)	PUNCT
iajs-1072	266	9	2017	2017	NUM
iajs-1072	266	10	مقارنة	مقارنة	NOUN
iajs-1072	266	11	مقدرات	مقدرات	NOUN
iajs-1072	266	12	بيز	بيز	NOUN
iajs-1072	266	13	لدالة	لدالة	NOUN
iajs-1072	266	14	المعولية	المعولية	PROPN
iajs-1072	266	15	االسية	االسية	PROPN
iajs-1072	266	16	باستعمال	باستعمال	PROPN
iajs-1072	266	17	دوال	دوال	PROPN
iajs-1072	266	18	اولية	اولية	PROPN
iajs-1072	266	19	مختلفة	مختلفة	PROPN
iajs-1072	266	20	جنان	جنان	PROPN
iajs-1072	266	21	عباس	عباس	VERB
iajs-1072	266	22	ناصر	ناصر	NOUN
iajs-1072	266	23	العبيدي	العبيدي	ADJ
iajs-1072	266	24	الكلية	الكلية	PROPN
iajs-1072	266	25	التقنية	التقنية	PROPN
iajs-1072	266	26	االدارية	االدارية	PROPN
iajs-1072	266	27	/جامعة	/جامعة	PART
iajs-1072	266	28	بغداد	بغداد	PROPN
iajs-1072	266	29	7102تشرين	7102تشرين	NUM
iajs-1072	266	30	الثاني	الثاني	PROPN
iajs-1072	266	31	2قبل	2قبل	PROPN
iajs-1072	266	32	في	في	X
iajs-1072	266	33	:	:	PUNCT
iajs-1072	266	34	7102	7102	NUM
iajs-1072	266	35	/	/	SYM
iajs-1072	266	36	تشرين	تشرين	PROPN
iajs-1072	266	37	األول/	األول/	NUM
iajs-1072	266	38	4استلم	4استلم	NUM
iajs-1072	266	39	في	في	PRON
iajs-1072	266	40	:	:	PUNCT
iajs-1072	266	41	الخالصة	الخالصة	NOUN
iajs-1072	266	42	في	في	ADP
iajs-1072	266	43	هذا	هذا	NOUN
iajs-1072	266	44	البحث	البحث	PROPN
iajs-1072	266	45	نشتق	نشتق	PROPN
iajs-1072	266	46	تقدير	تقدير	PROPN
iajs-1072	266	47	معولية	معولية	PROPN
iajs-1072	266	48	التوزيع	التوزيع	PROPN
iajs-1072	266	49	االسي	االسي	PROPN
iajs-1072	266	50	االعتماد	االعتماد	PROPN
iajs-1072	266	51	على	على	PROPN
iajs-1072	266	52	اسلوب	اسلوب	PROPN
iajs-1072	266	53	بيز	بيز	PROPN
iajs-1072	266	54	.تفترض	.تفترض	PUNCT
iajs-1072	266	55	معلمة	معلمة	NOUN
iajs-1072	266	56	التوزيع	التوزيع	PROPN
iajs-1072	266	57	االسي	االسي	PROPN
iajs-1072	266	58	لتكون	لتكون	PROPN
iajs-1072	266	59	متغيرا	متغيرا	PROPN
iajs-1072	266	60	عشوائيا	عشوائيا	PROPN
iajs-1072	266	61	في	في	SCONJ
iajs-1072	266	62	اسلوب	اسلوب	PROPN
iajs-1072	266	63	بيز.نشق	بيز.نشق	NUM
iajs-1072	266	64	التوزيع	التوزيع	PROPN
iajs-1072	266	65	الالحق	الالحق	PROPN
iajs-1072	266	66	لمعلمة	لمعلمة	NOUN
iajs-1072	266	67	التوزيع	التوزيع	PROPN
iajs-1072	266	68	االسي	االسي	PROPN
iajs-1072	266	69	باستعمال	باستعمال	PROPN
iajs-1072	267	1	اربعة	اربعة	PROPN
iajs-1072	267	2	توزيعات	توزيعات	PROPN
iajs-1072	267	3	اولية	اولية	PROPN
iajs-1072	267	4	لمعلمة	لمعلمة	NOUN
iajs-1072	267	5	القياس	القياس	VERB
iajs-1072	267	6	-nonوتوزيع	-nonوتوزيع	PROPN
iajs-1072	267	7	(	(	PUNCT
iajs-1072	267	8	improper)بع	improper)بع	PROPN
iajs-1072	267	9	كاي	كاي	NOUN
iajs-1072	267	10	وتوزيع	وتوزيع	NOUN
iajs-1072	267	11	معكوس	معكوس	NOUN
iajs-1072	267	12	كاما	كاما	NOUN
iajs-1072	267	13	وتوزيع	وتوزيع	PROPN
iajs-1072	267	14	غير	غير	VERB
iajs-1072	267	15	المالئم	المالئم	PROPN
iajs-1072	267	16	للتوزيع	للتوزيع	PROPN
iajs-1072	267	17	االسي	االسي	PROPN
iajs-1072	268	1	هي	هي	PROPN
iajs-1072	268	2	:	:	PUNCT
iajs-1072	268	3	توزيع	توزيع	NOUN
iajs-1072	268	4	معكوس	معكوس	NOUN
iajs-1072	268	5	مر	مر	PROPN
iajs-1072	268	6	informative	informative	ADJ
iajs-1072	268	7	وتستحصل	وتستحصل	NOUN
iajs-1072	268	8	مقدرات	مقدرات	PROPN
iajs-1072	268	9	المعولية	المعولية	PROPN
iajs-1072	268	10	باستعمال	باستعمال	PROPN
iajs-1072	268	11	دالتين	دالتين	PROPN
iajs-1072	268	12	خسارة	خسارة	NOUN
iajs-1072	268	13	مقترحه	مقترحه	X
iajs-1072	268	14	في	في	ADP
iajs-1072	268	15	هذا	هذا	NOUN
iajs-1072	268	16	البحث	البحث	PROPN
iajs-1072	268	17	التي	التي	PROPN
iajs-1072	268	18	تعتمد	تعتمد	PROPN
iajs-1072	268	19	على	على	PROPN
iajs-1072	268	20	اللوغاريتم	اللوغاريتم	NOUN
iajs-1072	268	21	.	.	PUNCT
iajs-1072	269	1	ط	ط	PROPN
iajs-1072	269	2	مربعات	مربعات	PROPN
iajs-1072	269	3	االخطاءها	االخطاءها	NOUN
iajs-1072	269	4	.افترضت	.افترضت	VERB
iajs-1072	269	5	استعملنا	استعملنا	PROPN
iajs-1072	269	6	اسلوب	اسلوب	PROPN
iajs-1072	269	7	المحاكاة	المحاكاة	PROPN
iajs-1072	269	8	لمقارنة	لمقارنة	PROPN
iajs-1072	269	9	المقدرات	المقدرات	PROPN
iajs-1072	269	10	الناتجه	الناتجه	PROPN
iajs-1072	269	11	بداللة	بداللة	NOUN
iajs-1072	269	12	متوس	متوس	VERB
iajs-1072	269	13	الطبيعي	الطبيعي	NOUN
iajs-1072	269	14	لدالة	لدالة	NOUN
iajs-1072	269	15	المعولية	المعولية	INTJ
iajs-1072	269	16	.	.	PUNCT
iajs-1072	270	1	عدة	عدة	INTJ
iajs-1072	270	2	حاالت	حاالت	PROPN
iajs-1072	270	3	لمعلمة	لمعلمة	NOUN
iajs-1072	270	4	التوزيع	التوزيع	PROPN
iajs-1072	270	5	االسي	االسي	PROPN
iajs-1072	270	6	لتوليد	لتوليد	PROPN
iajs-1072	270	7	البيانات	البيانات	PROPN
iajs-1072	270	8	والحجام	والحجام	PROPN
iajs-1072	270	9	عينات	عينات	VERB
iajs-1072	270	10	مختلفة	مختلفة	PROPN
iajs-1072	270	11	)	)	PUNCT
iajs-1072	270	12	الصغيرة	الصغيرة	PROPN
iajs-1072	270	13	,	,	PUNCT
iajs-1072	270	14	المتوسطة	المتوسطة	PROPN
iajs-1072	270	15	,	,	PUNCT
iajs-1072	270	16	و	و	PRON
iajs-1072	270	17	الكبيرة(.الستحصلت	الكبيرة(.الستحصلت	PROPN
iajs-1072	270	18	.	.	PUNCT
iajs-1072	271	1	عموما	عموما	PROPN
iajs-1072	271	2	,	,	PUNCT
iajs-1072	271	3	حصلنا	حصلنا	NOUN
iajs-1072	271	4	على	على	NOUN
iajs-1072	271	5	تقديرات	تقديرات	NOUN
iajs-1072	271	6	جيدة	جيدة	ADJ
iajs-1072	271	7	matlab	matlab	PROPN
iajs-1072	271	8	-	-	PUNCT
iajs-1072	271	9	r2008aالنتائج	r2008aالنتائج	NOUN
iajs-1072	271	10	باستعمال	باستعمال	ADJ
iajs-1072	271	11	أسلوب	أسلوب	NOUN
iajs-1072	271	12	المحاكاة	المحاكاة	PROPN
iajs-1072	271	13	,	,	PUNCT
iajs-1072	271	14	بكتابة	بكتابة	NOUN
iajs-1072	271	15	برامج	برامج	NOUN
iajs-1072	271	16	باستخدام	باستخدام	NOUN
iajs-1072	271	17	(	(	PUNCT
iajs-1072	271	18	mse)سي	mse)سي	NOUN
iajs-1072	271	19	باستعمال	باستعمال	PROPN
iajs-1072	271	20	دالة	دالة	PROPN
iajs-1072	271	21	الخسارة	الخسارة	PROPN
iajs-1072	271	22	المقترحة	المقترحة	PROPN
iajs-1072	271	23	الثانية	الثانية	PROPN
iajs-1072	271	24	,	,	PUNCT
iajs-1072	271	25	وفقا	وفقا	ADJ
iajs-1072	271	26	الغغر	الغغر	PROPN
iajs-1072	271	27	قيمة	قيمة	PROPN
iajs-1072	271	28	لمتوسط	لمتوسط	PROPN
iajs-1072	271	29	مربعات	مربعات	PROPN
iajs-1072	271	30	االخطاء	االخطاء	PROPN
iajs-1072	271	31	لمعولية	لمعولية	PROPN
iajs-1072	271	32	التوزيع	التوزيع	PROPN
iajs-1072	271	33	اال	اال	PROPN
iajs-1072	271	34	ولكل	ولكل	NOUN
iajs-1072	271	35	احجام	احجام	PROPN
iajs-1072	272	1	العينات	العينات	VERB
iajs-1072	272	2	مقارنة	مقارنة	PROPN
iajs-1072	272	3	بالمقيم	بالمقيم	ADJ
iajs-1072	272	4	المقدرة	المقدرة	NOUN
iajs-1072	272	5	لمتوسط	لمتوسط	NOUN
iajs-1072	272	6	مربعات	مربعات	PROPN
iajs-1072	272	7	االخطاء	االخطاء	PROPN
iajs-1072	272	8	باستعمال	باستعمال	PROPN
iajs-1072	272	9	دالة	دالة	PROPN
iajs-1072	272	10	الخسارة	الخسارة	PROPN
iajs-1072	272	11	المقترحة	المقترحة	PROPN
iajs-1072	272	12	االولى	االولى	PROPN
iajs-1072	272	13	.	.	PUNCT
iajs-1072	273	1	توزيع	توزيع	PROPN
iajs-1072	274	1	معكوس	معكوس	VERB
iajs-1072	274	2	مربع	مربع	PROPN
iajs-1072	274	3	كاي	كاي	NOUN
iajs-1072	274	4	,	,	PUNCT
iajs-1072	274	5	توزيع	توزيع	PROPN
iajs-1072	274	6	معكوس	معكوس	PRON
iajs-1072	274	7	كاما	كاما	NOUN
iajs-1072	274	8	,	,	PUNCT
iajs-1072	274	9	األولية	األولية	NOUN
iajs-1072	274	10	:	:	PUNCT
iajs-1072	274	11	اتتوزيعال	اتتوزيعال	ADJ
iajs-1072	274	12	,	,	PUNCT
iajs-1072	274	13	طريقة	طريقة	NOUN
iajs-1072	274	14	بيزاالسي	بيزاالسي	PROPN
iajs-1072	274	15	,	,	PUNCT
iajs-1072	274	16	وزيع	وزيع	PROPN
iajs-1072	274	17	الت	الت	ADV
iajs-1072	274	18	:	:	PUNCT
iajs-1072	274	19	المفتاحية	المفتاحية	NOUN
iajs-1072	274	20	الكلمات	الكلمات	VERB
iajs-1072	274	21	.(mse	.(mse	PROPN
iajs-1072	274	22	)	)	PUNCT
iajs-1072	274	23	,	,	PUNCT
iajs-1072	274	24	متوسط	متوسط	PROPN
iajs-1072	274	25	مربعات	مربعات	PROPN
iajs-1072	274	26	الخطاء	الخطاء	VERB
iajs-1072	274	27	non	non	ADJ
iajs-1072	274	28	-	-	ADJ
iajs-1072	274	29	informative	informative	ADJ
iajs-1072	274	30	,	,	PUNCT
iajs-1072	274	31	توزيع	توزيع	X
iajs-1072	274	32	(	(	PUNCT
iajs-1072	274	33	improper)توزيع	improper)توزيع	PROPN
iajs-1072	274	34	غير	غير	PROPN
iajs-1072	274	35	المالئم	المالئم	PROPN