id	sid	tid	token	lemma	pos
ejpam-6295	1	1	european	european	PROPN
ejpam-6295	1	2	journal	journal	PROPN
ejpam-6295	1	3	of	of	ADP
ejpam-6295	1	4	pure	pure	ADJ
ejpam-6295	1	5	and	and	CCONJ
ejpam-6295	1	6	applied	applied	ADJ
ejpam-6295	1	7	mathematics	mathematic	NOUN
ejpam-6295	1	8	2025	2025	NUM
ejpam-6295	1	9	,	,	PUNCT
ejpam-6295	1	10	vol	vol	NOUN
ejpam-6295	1	11	.	.	PROPN
ejpam-6295	1	12	18	18	NUM
ejpam-6295	1	13	,	,	PUNCT
ejpam-6295	1	14	issue	issue	NOUN
ejpam-6295	1	15	3	3	NUM
ejpam-6295	1	16	,	,	PUNCT
ejpam-6295	1	17	article	article	NOUN
ejpam-6295	1	18	number	number	NOUN
ejpam-6295	1	19	6295	6295	NUM
ejpam-6295	1	20	issn	issn	VERB
ejpam-6295	1	21	1307	1307	NUM
ejpam-6295	1	22	-	-	SYM
ejpam-6295	1	23	5543	5543	NUM
ejpam-6295	1	24	–	–	PUNCT
ejpam-6295	1	25	ejpam.com	ejpam.com	X
ejpam-6295	1	26	published	publish	VERB
ejpam-6295	1	27	by	by	ADP
ejpam-6295	1	28	new	new	PROPN
ejpam-6295	1	29	york	york	PROPN
ejpam-6295	1	30	business	business	PROPN
ejpam-6295	1	31	global	global	ADJ
ejpam-6295	1	32	bayesian	bayesian	NOUN
ejpam-6295	1	33	analysis	analysis	NOUN
ejpam-6295	1	34	of	of	ADP
ejpam-6295	1	35	the	the	DET
ejpam-6295	1	36	lomax	lomax	PROPN
ejpam-6295	1	37	-	-	PUNCT
ejpam-6295	1	38	power	power	PROPN
ejpam-6295	1	39	rayleigh	rayleigh	PROPN
ejpam-6295	1	40	(	(	PUNCT
ejpam-6295	1	41	t	t	PROPN
ejpam-6295	1	42	-	-	PUNCT
ejpam-6295	1	43	x	x	NOUN
ejpam-6295	1	44	)	)	PUNCT
ejpam-6295	1	45	distribution	distribution	NOUN
ejpam-6295	1	46	muhammad	muhammad	PROPN
ejpam-6295	1	47	ijaz1	ijaz1	PROPN
ejpam-6295	1	48	,	,	PUNCT
ejpam-6295	1	49	naeem	naeem	PROPN
ejpam-6295	1	50	khan1	khan1	PROPN
ejpam-6295	1	51	,	,	PUNCT
ejpam-6295	1	52	m.	m.	NOUN
ejpam-6295	1	53	i.	i.	PROPN
ejpam-6295	1	54	khan2,∗	khan2,∗	PROPN
ejpam-6295	1	55	,	,	PUNCT
ejpam-6295	1	56	ghulam	ghulam	PROPN
ejpam-6295	1	57	mustafa3	mustafa3	PROPN
ejpam-6295	1	58	,	,	PUNCT
ejpam-6295	1	59	hana	hana	PROPN
ejpam-6295	1	60	n.	n.	PROPN
ejpam-6295	1	61	alqifari4	alqifari4	PROPN
ejpam-6295	2	1	1	1	NUM
ejpam-6295	2	2	department	department	NOUN
ejpam-6295	2	3	of	of	ADP
ejpam-6295	2	4	mathematics	mathematic	NOUN
ejpam-6295	2	5	and	and	CCONJ
ejpam-6295	2	6	statistics	statistic	NOUN
ejpam-6295	2	7	,	,	PUNCT
ejpam-6295	2	8	the	the	DET
ejpam-6295	2	9	university	university	NOUN
ejpam-6295	2	10	of	of	ADP
ejpam-6295	2	11	haripur	haripur	NOUN
ejpam-6295	2	12	,	,	PUNCT
ejpam-6295	2	13	haripur	haripur	NOUN
ejpam-6295	2	14	,	,	PUNCT
ejpam-6295	2	15	pakistan	pakistan	PROPN
ejpam-6295	2	16	2	2	NUM
ejpam-6295	2	17	department	department	NOUN
ejpam-6295	2	18	of	of	ADP
ejpam-6295	2	19	mathematics	mathematic	NOUN
ejpam-6295	2	20	,	,	PUNCT
ejpam-6295	2	21	faculty	faculty	NOUN
ejpam-6295	2	22	of	of	ADP
ejpam-6295	2	23	science	science	NOUN
ejpam-6295	2	24	,	,	PUNCT
ejpam-6295	2	25	islamic	islamic	PROPN
ejpam-6295	2	26	university	university	PROPN
ejpam-6295	2	27	of	of	ADP
ejpam-6295	2	28	madinah	madinah	PROPN
ejpam-6295	2	29	,	,	PUNCT
ejpam-6295	2	30	madinah	madinah	PROPN
ejpam-6295	2	31	,	,	PUNCT
ejpam-6295	2	32	42351	42351	NUM
ejpam-6295	2	33	,	,	PUNCT
ejpam-6295	2	34	saudi	saudi	PROPN
ejpam-6295	2	35	arabia	arabia	PROPN
ejpam-6295	2	36	3	3	NUM
ejpam-6295	2	37	department	department	NOUN
ejpam-6295	2	38	of	of	ADP
ejpam-6295	2	39	statistics	statistic	NOUN
ejpam-6295	2	40	,	,	PUNCT
ejpam-6295	2	41	islamia	islamia	PROPN
ejpam-6295	2	42	college	college	PROPN
ejpam-6295	2	43	peshawar	peshawar	PROPN
ejpam-6295	2	44	,	,	PUNCT
ejpam-6295	2	45	peshawar	peshawar	PROPN
ejpam-6295	2	46	,	,	PUNCT
ejpam-6295	2	47	pakistan	pakistan	PROPN
ejpam-6295	2	48	4	4	NUM
ejpam-6295	2	49	department	department	NOUN
ejpam-6295	2	50	of	of	ADP
ejpam-6295	2	51	statistics	statistic	NOUN
ejpam-6295	2	52	and	and	CCONJ
ejpam-6295	2	53	operations	operation	NOUN
ejpam-6295	2	54	research	research	NOUN
ejpam-6295	2	55	,	,	PUNCT
ejpam-6295	2	56	college	college	NOUN
ejpam-6295	2	57	of	of	ADP
ejpam-6295	2	58	science	science	NOUN
ejpam-6295	2	59	,	,	PUNCT
ejpam-6295	2	60	qassim	qassim	PROPN
ejpam-6295	2	61	university	university	PROPN
ejpam-6295	2	62	,	,	PUNCT
ejpam-6295	2	63	saudi	saudi	PROPN
ejpam-6295	2	64	arabia	arabia	PROPN
ejpam-6295	2	65	abstract	abstract	NOUN
ejpam-6295	2	66	.	.	PUNCT
ejpam-6295	3	1	this	this	DET
ejpam-6295	3	2	study	study	NOUN
ejpam-6295	3	3	presents	present	VERB
ejpam-6295	3	4	a	a	DET
ejpam-6295	3	5	bayesian	bayesian	NOUN
ejpam-6295	3	6	analysis	analysis	NOUN
ejpam-6295	3	7	of	of	ADP
ejpam-6295	3	8	the	the	DET
ejpam-6295	3	9	lomax	lomax	PROPN
ejpam-6295	3	10	-	-	PUNCT
ejpam-6295	3	11	power	power	PROPN
ejpam-6295	3	12	rayleigh	rayleigh	PROPN
ejpam-6295	3	13	(	(	PUNCT
ejpam-6295	3	14	t	t	PROPN
ejpam-6295	3	15	-	-	PUNCT
ejpam-6295	3	16	x	x	NOUN
ejpam-6295	3	17	)	)	PUNCT
ejpam-6295	3	18	distribution	distribution	NOUN
ejpam-6295	3	19	using	use	VERB
ejpam-6295	3	20	both	both	CCONJ
ejpam-6295	3	21	uniform	uniform	NOUN
ejpam-6295	3	22	and	and	CCONJ
ejpam-6295	3	23	jeffery	jeffery	PROPN
ejpam-6295	3	24	priors	priors	PROPN
ejpam-6295	3	25	.	.	PUNCT
ejpam-6295	4	1	bayes	bayes	PROPN
ejpam-6295	4	2	estimators	estimator	NOUN
ejpam-6295	4	3	are	be	AUX
ejpam-6295	4	4	derived	derive	VERB
ejpam-6295	4	5	under	under	ADP
ejpam-6295	4	6	four	four	NUM
ejpam-6295	4	7	different	different	ADJ
ejpam-6295	4	8	loss	loss	NOUN
ejpam-6295	4	9	functions	function	NOUN
ejpam-6295	4	10	:	:	PUNCT
ejpam-6295	4	11	squared	square	VERB
ejpam-6295	4	12	error	error	NOUN
ejpam-6295	4	13	loss	loss	NOUN
ejpam-6295	4	14	,	,	PUNCT
ejpam-6295	4	15	quadratic	quadratic	ADJ
ejpam-6295	4	16	loss	loss	NOUN
ejpam-6295	4	17	,	,	PUNCT
ejpam-6295	4	18	weighted	weight	VERB
ejpam-6295	4	19	loss	loss	NOUN
ejpam-6295	4	20	,	,	PUNCT
ejpam-6295	4	21	and	and	CCONJ
ejpam-6295	4	22	precautionary	precautionary	ADJ
ejpam-6295	4	23	loss	loss	NOUN
ejpam-6295	4	24	.	.	PUNCT
ejpam-6295	5	1	the	the	DET
ejpam-6295	5	2	performance	performance	NOUN
ejpam-6295	5	3	of	of	ADP
ejpam-6295	5	4	the	the	DET
ejpam-6295	5	5	proposed	propose	VERB
ejpam-6295	5	6	estimators	estimator	NOUN
ejpam-6295	5	7	is	be	AUX
ejpam-6295	5	8	demonstrated	demonstrate	VERB
ejpam-6295	5	9	through	through	ADP
ejpam-6295	5	10	simulation	simulation	NOUN
ejpam-6295	5	11	studies	study	NOUN
ejpam-6295	5	12	and	and	CCONJ
ejpam-6295	5	13	a	a	DET
ejpam-6295	5	14	real	real	ADJ
ejpam-6295	5	15	-	-	PUNCT
ejpam-6295	5	16	world	world	NOUN
ejpam-6295	5	17	dataset	dataset	NOUN
ejpam-6295	5	18	.	.	PUNCT
ejpam-6295	6	1	results	result	NOUN
ejpam-6295	6	2	indicate	indicate	VERB
ejpam-6295	6	3	that	that	SCONJ
ejpam-6295	6	4	the	the	DET
ejpam-6295	6	5	quadratic	quadratic	ADJ
ejpam-6295	6	6	loss	loss	NOUN
ejpam-6295	6	7	function	function	NOUN
ejpam-6295	6	8	yields	yield	VERB
ejpam-6295	6	9	the	the	DET
ejpam-6295	6	10	most	most	ADV
ejpam-6295	6	11	reliable	reliable	ADJ
ejpam-6295	6	12	parameter	parameter	NOUN
ejpam-6295	6	13	estimates	estimate	NOUN
ejpam-6295	6	14	.	.	PUNCT
ejpam-6295	7	1	2020	2020	NUM
ejpam-6295	7	2	mathematics	mathematic	NOUN
ejpam-6295	7	3	subject	subject	NOUN
ejpam-6295	7	4	classifications	classification	NOUN
ejpam-6295	7	5	:	:	PUNCT
ejpam-6295	7	6	47n30	47n30	NUM
ejpam-6295	7	7	,	,	PUNCT
ejpam-6295	7	8	62c10	62c10	NUM
ejpam-6295	7	9	,	,	PUNCT
ejpam-6295	7	10	62c12	62c12	NUM
ejpam-6295	7	11	,	,	PUNCT
ejpam-6295	7	12	62xx	62xx	ADJ
ejpam-6295	7	13	key	key	ADJ
ejpam-6295	7	14	words	word	NOUN
ejpam-6295	7	15	and	and	CCONJ
ejpam-6295	7	16	phrases	phrase	NOUN
ejpam-6295	7	17	:	:	PUNCT
ejpam-6295	7	18	uniform	uniform	NOUN
ejpam-6295	7	19	and	and	CCONJ
ejpam-6295	7	20	jeffery	jeffery	PROPN
ejpam-6295	7	21	priors	priors	PROPN
ejpam-6295	7	22	,	,	PUNCT
ejpam-6295	7	23	loss	loss	NOUN
ejpam-6295	7	24	functions	function	NOUN
ejpam-6295	7	25	,	,	PUNCT
ejpam-6295	7	26	application	application	NOUN
ejpam-6295	7	27	,	,	PUNCT
ejpam-6295	7	28	bayes	bayes	PROPN
ejpam-6295	7	29	theorem	theorem	VERB
ejpam-6295	7	30	,	,	PUNCT
ejpam-6295	7	31	simulation	simulation	NOUN
ejpam-6295	7	32	1	1	NUM
ejpam-6295	7	33	.	.	PUNCT
ejpam-6295	8	1	introduction	introduction	NOUN
ejpam-6295	8	2	probability	probability	NOUN
ejpam-6295	8	3	distributions	distribution	NOUN
ejpam-6295	8	4	are	be	AUX
ejpam-6295	8	5	central	central	ADJ
ejpam-6295	8	6	to	to	ADP
ejpam-6295	8	7	modeling	model	VERB
ejpam-6295	8	8	uncertainty	uncertainty	NOUN
ejpam-6295	8	9	in	in	ADP
ejpam-6295	8	10	a	a	DET
ejpam-6295	8	11	variety	variety	NOUN
ejpam-6295	8	12	of	of	ADP
ejpam-6295	8	13	fields	field	NOUN
ejpam-6295	8	14	,	,	PUNCT
ejpam-6295	8	15	including	include	VERB
ejpam-6295	8	16	reliability	reliability	NOUN
ejpam-6295	8	17	analysis	analysis	NOUN
ejpam-6295	8	18	,	,	PUNCT
ejpam-6295	8	19	life	life	NOUN
ejpam-6295	8	20	testing	testing	NOUN
ejpam-6295	8	21	problems	problem	NOUN
ejpam-6295	8	22	,	,	PUNCT
ejpam-6295	8	23	engineering	engineering	NOUN
ejpam-6295	8	24	,	,	PUNCT
ejpam-6295	8	25	agriculture	agriculture	NOUN
ejpam-6295	8	26	sciences	science	NOUN
ejpam-6295	8	27	,	,	PUNCT
ejpam-6295	8	28	and	and	CCONJ
ejpam-6295	8	29	econometrics	econometrics	NOUN
ejpam-6295	8	30	etc	etc	X
ejpam-6295	8	31	.	.	X
ejpam-6295	9	1	recently	recently	ADV
ejpam-6295	9	2	,	,	PUNCT
ejpam-6295	9	3	many	many	ADJ
ejpam-6295	9	4	advance	advance	NOUN
ejpam-6295	9	5	probability	probability	NOUN
ejpam-6295	9	6	distributions	distribution	NOUN
ejpam-6295	9	7	have	have	AUX
ejpam-6295	9	8	been	be	AUX
ejpam-6295	9	9	derived	derive	VERB
ejpam-6295	9	10	by	by	ADP
ejpam-6295	9	11	researchers	researcher	NOUN
ejpam-6295	9	12	to	to	PART
ejpam-6295	9	13	model	model	VERB
ejpam-6295	9	14	some	some	DET
ejpam-6295	9	15	more	more	ADV
ejpam-6295	9	16	complex	complex	ADJ
ejpam-6295	9	17	and	and	CCONJ
ejpam-6295	9	18	large	large	ADJ
ejpam-6295	9	19	data	data	NOUN
ejpam-6295	9	20	structures	structure	NOUN
ejpam-6295	9	21	better	well	ADJ
ejpam-6295	9	22	than	than	ADP
ejpam-6295	9	23	the	the	DET
ejpam-6295	9	24	existing	exist	VERB
ejpam-6295	9	25	probability	probability	NOUN
ejpam-6295	9	26	distributions	distribution	NOUN
ejpam-6295	9	27	.	.	PUNCT
ejpam-6295	10	1	for	for	ADP
ejpam-6295	10	2	example	example	NOUN
ejpam-6295	10	3	,	,	PUNCT
ejpam-6295	10	4	recently	recently	ADV
ejpam-6295	10	5	a	a	DET
ejpam-6295	10	6	lot	lot	NOUN
ejpam-6295	10	7	of	of	ADP
ejpam-6295	10	8	new	new	ADJ
ejpam-6295	10	9	versions	version	NOUN
ejpam-6295	10	10	of	of	ADP
ejpam-6295	10	11	the	the	DET
ejpam-6295	10	12	lomax	lomax	PROPN
ejpam-6295	10	13	distribution	distribution	NOUN
ejpam-6295	10	14	have	have	AUX
ejpam-6295	10	15	been	be	AUX
ejpam-6295	10	16	derived	derive	VERB
ejpam-6295	10	17	,	,	PUNCT
ejpam-6295	10	18	e.g	e.g	X
ejpam-6295	11	1	[	[	X
ejpam-6295	11	2	1	1	NUM
ejpam-6295	11	3	]	]	PUNCT
ejpam-6295	11	4	derived	derive	VERB
ejpam-6295	11	5	x	x	PROPN
ejpam-6295	11	6	-	-	NOUN
ejpam-6295	11	7	gamma	gamma	ADJ
ejpam-6295	11	8	lomax	lomax	PROPN
ejpam-6295	11	9	distribution	distribution	NOUN
ejpam-6295	11	10	,	,	PUNCT
ejpam-6295	11	11	[	[	X
ejpam-6295	11	12	2	2	NUM
ejpam-6295	11	13	]	]	PUNCT
ejpam-6295	11	14	presented	present	VERB
ejpam-6295	11	15	inverse	inverse	NOUN
ejpam-6295	11	16	power	power	NOUN
ejpam-6295	11	17	lomax	lomax	PROPN
ejpam-6295	11	18	distribution	distribution	NOUN
ejpam-6295	11	19	,	,	PUNCT
ejpam-6295	11	20	[	[	X
ejpam-6295	11	21	3	3	X
ejpam-6295	11	22	]	]	PUNCT
ejpam-6295	11	23	discuss	discuss	PROPN
ejpam-6295	11	24	lomax	lomax	PROPN
ejpam-6295	11	25	power	power	PROPN
ejpam-6295	11	26	rayleigh	rayleigh	PROPN
ejpam-6295	11	27	distribution	distribution	NOUN
ejpam-6295	11	28	.	.	PUNCT
ejpam-6295	12	1	for	for	ADP
ejpam-6295	12	2	more	more	ADJ
ejpam-6295	12	3	study	study	NOUN
ejpam-6295	12	4	,	,	PUNCT
ejpam-6295	12	5	we	we	PRON
ejpam-6295	12	6	refer	refer	VERB
ejpam-6295	12	7	to	to	PART
ejpam-6295	12	8	see	see	VERB
ejpam-6295	12	9	[	[	X
ejpam-6295	12	10	4–8	4–8	NOUN
ejpam-6295	12	11	]	]	X
ejpam-6295	12	12	.	.	PUNCT
ejpam-6295	13	1	∗corresponding	∗corresponde	VERB
ejpam-6295	13	2	author	author	NOUN
ejpam-6295	13	3	.	.	PUNCT
ejpam-6295	14	1	doi	doi	NOUN
ejpam-6295	14	2	:	:	PUNCT
ejpam-6295	14	3	https://doi.org/10.29020/nybg.ejpam.v18i3.6295	https://doi.org/10.29020/nybg.ejpam.v18i3.6295	NOUN
ejpam-6295	14	4	email	email	NOUN
ejpam-6295	14	5	addresses	address	VERB
ejpam-6295	14	6	:	:	PUNCT
ejpam-6295	14	7	m.ijaz@uoh.edu.pk	m.ijaz@uoh.edu.pk	PRON
ejpam-6295	14	8	(	(	PUNCT
ejpam-6295	14	9	m.	m.	PROPN
ejpam-6295	14	10	ijaz	ijaz	PROPN
ejpam-6295	14	11	)	)	PUNCT
ejpam-6295	14	12	,	,	PUNCT
ejpam-6295	14	13	prof.naeemkhan1@gmail.com	prof.naeemkhan1@gmail.com	X
ejpam-6295	14	14	(	(	PUNCT
ejpam-6295	14	15	n.	n.	PROPN
ejpam-6295	14	16	khan	khan	PROPN
ejpam-6295	14	17	)	)	PUNCT
ejpam-6295	14	18	,	,	PUNCT
ejpam-6295	14	19	izhar.stats@gmail.com	izhar.stats@gmail.com	X
ejpam-6295	14	20	,	,	PUNCT
ejpam-6295	14	21	khanizhar@iu.edu.sa	khanizhar@iu.edu.sa	PROPN
ejpam-6295	14	22	(	(	PUNCT
ejpam-6295	14	23	m.	m.	PROPN
ejpam-6295	14	24	i.	i.	PROPN
ejpam-6295	14	25	khan	khan	PROPN
ejpam-6295	14	26	)	)	PUNCT
ejpam-6295	14	27	,	,	PUNCT
ejpam-6295	14	28	ghulam29@gmail.com	ghulam29@gmail.com	X
ejpam-6295	14	29	(	(	PUNCT
ejpam-6295	14	30	g.	g.	PROPN
ejpam-6295	14	31	mustafa	mustafa	PROPN
ejpam-6295	14	32	)	)	PUNCT
ejpam-6295	14	33	,	,	PUNCT
ejpam-6295	14	34	hn.alqifari@qu.edu.sa	hn.alqifari@qu.edu.sa	PROPN
ejpam-6295	14	35	(	(	PUNCT
ejpam-6295	14	36	h.	h.	PROPN
ejpam-6295	14	37	n.	n.	PROPN
ejpam-6295	14	38	alqifari	alqifari	PROPN
ejpam-6295	14	39	)	)	PUNCT
ejpam-6295	14	40	https://www.ejpam.com	https://www.ejpam.com	NOUN
ejpam-6295	14	41	1	1	NUM
ejpam-6295	14	42	copyright	copyright	NOUN
ejpam-6295	14	43	:	:	PUNCT
ejpam-6295	15	1	©	©	PROPN
ejpam-6295	15	2	2025	2025	NUM
ejpam-6295	15	3	the	the	DET
ejpam-6295	15	4	author(s	author(s	NOUN
ejpam-6295	15	5	)	)	PUNCT
ejpam-6295	15	6	.	.	PUNCT
ejpam-6295	16	1	(	(	PUNCT
ejpam-6295	16	2	cc	cc	NOUN
ejpam-6295	16	3	by	by	ADP
ejpam-6295	16	4	-	-	PUNCT
ejpam-6295	16	5	nc	nc	PROPN
ejpam-6295	16	6	4.0	4.0	NUM
ejpam-6295	16	7	)	)	PUNCT
ejpam-6295	16	8	muhammad	muhammad	PROPN
ejpam-6295	16	9	ijaz	ijaz	PROPN
ejpam-6295	16	10	et	et	PROPN
ejpam-6295	16	11	al	al	PROPN
ejpam-6295	16	12	.	.	PUNCT
ejpam-6295	16	13	/	/	SYM
ejpam-6295	16	14	eur	eur	PROPN
ejpam-6295	16	15	.	.	PUNCT
ejpam-6295	17	1	j.	j.	PROPN
ejpam-6295	17	2	pure	pure	PROPN
ejpam-6295	17	3	appl	appl	PROPN
ejpam-6295	17	4	.	.	PROPN
ejpam-6295	17	5	math	math	PROPN
ejpam-6295	17	6	,	,	PUNCT
ejpam-6295	17	7	18	18	NUM
ejpam-6295	17	8	(	(	PUNCT
ejpam-6295	17	9	3	3	NUM
ejpam-6295	17	10	)	)	PUNCT
ejpam-6295	17	11	(	(	PUNCT
ejpam-6295	17	12	2025	2025	NUM
ejpam-6295	17	13	)	)	PUNCT
ejpam-6295	17	14	,	,	PUNCT
ejpam-6295	17	15	6295	6295	NUM
ejpam-6295	17	16	2	2	NUM
ejpam-6295	17	17	of	of	ADP
ejpam-6295	17	18	12	12	NUM
ejpam-6295	17	19	bayesian	bayesian	NOUN
ejpam-6295	17	20	analysis	analysis	NOUN
ejpam-6295	17	21	is	be	AUX
ejpam-6295	17	22	always	always	ADV
ejpam-6295	17	23	preferable	preferable	ADJ
ejpam-6295	17	24	when	when	SCONJ
ejpam-6295	17	25	we	we	PRON
ejpam-6295	17	26	are	be	AUX
ejpam-6295	17	27	given	give	VERB
ejpam-6295	17	28	some	some	DET
ejpam-6295	17	29	prior	prior	ADJ
ejpam-6295	17	30	information	information	NOUN
ejpam-6295	17	31	.	.	PUNCT
ejpam-6295	18	1	bayesian	bayesian	NOUN
ejpam-6295	18	2	analyses	analysis	NOUN
ejpam-6295	18	3	are	be	AUX
ejpam-6295	18	4	found	find	VERB
ejpam-6295	18	5	to	to	PART
ejpam-6295	18	6	be	be	AUX
ejpam-6295	18	7	better	well	ADJ
ejpam-6295	18	8	than	than	ADP
ejpam-6295	18	9	classical	classical	ADJ
ejpam-6295	18	10	statistics	statistic	NOUN
ejpam-6295	18	11	when	when	SCONJ
ejpam-6295	18	12	there	there	PRON
ejpam-6295	18	13	are	be	VERB
ejpam-6295	18	14	extreme	extreme	ADJ
ejpam-6295	18	15	values	value	NOUN
ejpam-6295	18	16	in	in	ADP
ejpam-6295	18	17	data	datum	NOUN
ejpam-6295	18	18	.	.	PUNCT
ejpam-6295	19	1	a	a	DET
ejpam-6295	19	2	large	large	ADJ
ejpam-6295	19	3	number	number	NOUN
ejpam-6295	19	4	of	of	ADP
ejpam-6295	19	5	problems	problem	NOUN
ejpam-6295	19	6	have	have	AUX
ejpam-6295	19	7	been	be	AUX
ejpam-6295	19	8	tackle	tackle	ADV
ejpam-6295	19	9	using	use	VERB
ejpam-6295	19	10	bayesian	bayesian	NOUN
ejpam-6295	19	11	analysis	analysis	NOUN
ejpam-6295	19	12	under	under	ADP
ejpam-6295	19	13	different	different	ADJ
ejpam-6295	19	14	probability	probability	NOUN
ejpam-6295	19	15	distributions	distribution	NOUN
ejpam-6295	19	16	,	,	PUNCT
ejpam-6295	19	17	for	for	ADP
ejpam-6295	19	18	example	example	NOUN
ejpam-6295	19	19	,	,	PUNCT
ejpam-6295	19	20	[	[	X
ejpam-6295	19	21	9	9	NUM
ejpam-6295	19	22	]	]	PUNCT
ejpam-6295	19	23	discussed	discuss	VERB
ejpam-6295	19	24	bayesian	bayesian	NOUN
ejpam-6295	19	25	analysis	analysis	NOUN
ejpam-6295	19	26	of	of	ADP
ejpam-6295	19	27	for	for	ADP
ejpam-6295	19	28	skew	skew	ADJ
ejpam-6295	19	29	symmetric	symmetric	ADJ
ejpam-6295	19	30	distribution	distribution	NOUN
ejpam-6295	19	31	,	,	PUNCT
ejpam-6295	19	32	[	[	X
ejpam-6295	19	33	10	10	NUM
ejpam-6295	19	34	]	]	PUNCT
ejpam-6295	19	35	explore	explore	NOUN
ejpam-6295	19	36	bayesian	bayesian	NOUN
ejpam-6295	19	37	and	and	CCONJ
ejpam-6295	19	38	non	non	ADJ
ejpam-6295	19	39	-	-	ADJ
ejpam-6295	19	40	bayesian	bayesian	ADJ
ejpam-6295	19	41	inference	inference	NOUN
ejpam-6295	19	42	for	for	ADP
ejpam-6295	19	43	truncated	truncate	VERB
ejpam-6295	19	44	cauchy	cauchy	PROPN
ejpam-6295	19	45	power	power	NOUN
ejpam-6295	19	46	weibull	weibull	PROPN
ejpam-6295	19	47	-	-	PUNCT
ejpam-6295	19	48	g	g	PROPN
ejpam-6295	19	49	class	class	NOUN
ejpam-6295	19	50	of	of	ADP
ejpam-6295	19	51	distributions	distribution	NOUN
ejpam-6295	19	52	,	,	PUNCT
ejpam-6295	19	53	[	[	X
ejpam-6295	19	54	11	11	NUM
ejpam-6295	19	55	]	]	PUNCT
ejpam-6295	19	56	considered	consider	VERB
ejpam-6295	19	57	lomax	lomax	PROPN
ejpam-6295	19	58	distribution	distribution	NOUN
ejpam-6295	19	59	with	with	ADP
ejpam-6295	19	60	four	four	NUM
ejpam-6295	19	61	loss	loss	NOUN
ejpam-6295	19	62	functions	function	NOUN
ejpam-6295	19	63	,	,	PUNCT
ejpam-6295	19	64	[	[	X
ejpam-6295	19	65	12	12	NUM
ejpam-6295	19	66	]	]	PUNCT
ejpam-6295	19	67	discussed	discuss	VERB
ejpam-6295	19	68	the	the	DET
ejpam-6295	19	69	bayesian	bayesian	NOUN
ejpam-6295	19	70	analysis	analysis	NOUN
ejpam-6295	19	71	of	of	ADP
ejpam-6295	19	72	the	the	DET
ejpam-6295	19	73	extended	extended	ADJ
ejpam-6295	19	74	lomax	lomax	NOUN
ejpam-6295	19	75	distribution	distribution	NOUN
ejpam-6295	19	76	.	.	PUNCT
ejpam-6295	20	1	although	although	SCONJ
ejpam-6295	20	2	the	the	DET
ejpam-6295	20	3	lomax	lomax	PROPN
ejpam-6295	20	4	-	-	PUNCT
ejpam-6295	20	5	power	power	PROPN
ejpam-6295	20	6	rayleigh	rayleigh	PROPN
ejpam-6295	20	7	(	(	PUNCT
ejpam-6295	20	8	lpr	lpr	PROPN
ejpam-6295	20	9	)	)	PUNCT
ejpam-6295	20	10	distribution	distribution	NOUN
ejpam-6295	20	11	is	be	AUX
ejpam-6295	20	12	highly	highly	ADV
ejpam-6295	20	13	flexible	flexible	ADJ
ejpam-6295	20	14	for	for	ADP
ejpam-6295	20	15	modeling	model	VERB
ejpam-6295	20	16	real	real	ADJ
ejpam-6295	20	17	-	-	PUNCT
ejpam-6295	20	18	world	world	NOUN
ejpam-6295	20	19	phenomena	phenomenon	NOUN
ejpam-6295	20	20	,	,	PUNCT
ejpam-6295	20	21	it	it	PRON
ejpam-6295	20	22	has	have	AUX
ejpam-6295	20	23	received	receive	VERB
ejpam-6295	20	24	little	little	ADJ
ejpam-6295	20	25	attention	attention	NOUN
ejpam-6295	20	26	within	within	ADP
ejpam-6295	20	27	a	a	DET
ejpam-6295	20	28	bayesian	bayesian	NOUN
ejpam-6295	20	29	framework	framework	NOUN
ejpam-6295	20	30	.	.	PUNCT
ejpam-6295	21	1	this	this	DET
ejpam-6295	21	2	study	study	NOUN
ejpam-6295	21	3	aims	aim	VERB
ejpam-6295	21	4	to	to	PART
ejpam-6295	21	5	bridge	bridge	VERB
ejpam-6295	21	6	this	this	DET
ejpam-6295	21	7	gap	gap	NOUN
ejpam-6295	21	8	by	by	ADP
ejpam-6295	21	9	providing	provide	VERB
ejpam-6295	21	10	a	a	DET
ejpam-6295	21	11	comprehensive	comprehensive	ADJ
ejpam-6295	21	12	bayesian	bayesian	NOUN
ejpam-6295	21	13	analysis	analysis	NOUN
ejpam-6295	21	14	of	of	ADP
ejpam-6295	21	15	the	the	DET
ejpam-6295	21	16	lpr	lpr	PROPN
ejpam-6295	21	17	distribution	distribution	NOUN
ejpam-6295	21	18	.	.	PUNCT
ejpam-6295	22	1	by	by	ADP
ejpam-6295	22	2	deriving	derive	VERB
ejpam-6295	22	3	bayes	bayes	PROPN
ejpam-6295	22	4	estimators	estimator	NOUN
ejpam-6295	22	5	under	under	ADP
ejpam-6295	22	6	different	different	ADJ
ejpam-6295	22	7	priors	prior	NOUN
ejpam-6295	22	8	and	and	CCONJ
ejpam-6295	22	9	loss	loss	NOUN
ejpam-6295	22	10	functions	function	NOUN
ejpam-6295	22	11	,	,	PUNCT
ejpam-6295	22	12	we	we	PRON
ejpam-6295	22	13	offer	offer	VERB
ejpam-6295	22	14	researchers	researcher	NOUN
ejpam-6295	22	15	and	and	CCONJ
ejpam-6295	22	16	practitioners	practitioner	VERB
ejpam-6295	22	17	a	a	DET
ejpam-6295	22	18	novel	novel	ADJ
ejpam-6295	22	19	and	and	CCONJ
ejpam-6295	22	20	practical	practical	ADJ
ejpam-6295	22	21	approach	approach	NOUN
ejpam-6295	22	22	for	for	ADP
ejpam-6295	22	23	modeling	modeling	NOUN
ejpam-6295	22	24	and	and	CCONJ
ejpam-6295	22	25	analyzing	analyze	VERB
ejpam-6295	22	26	data	datum	NOUN
ejpam-6295	22	27	that	that	PRON
ejpam-6295	22	28	follows	follow	VERB
ejpam-6295	22	29	this	this	DET
ejpam-6295	22	30	distribution	distribution	NOUN
ejpam-6295	22	31	.	.	PUNCT
ejpam-6295	23	1	this	this	DET
ejpam-6295	23	2	research	research	NOUN
ejpam-6295	23	3	is	be	AUX
ejpam-6295	23	4	motivated	motivate	VERB
ejpam-6295	23	5	by	by	ADP
ejpam-6295	23	6	the	the	DET
ejpam-6295	23	7	growing	grow	VERB
ejpam-6295	23	8	need	need	NOUN
ejpam-6295	23	9	for	for	ADP
ejpam-6295	23	10	accurate	accurate	ADJ
ejpam-6295	23	11	and	and	CCONJ
ejpam-6295	23	12	reliable	reliable	ADJ
ejpam-6295	23	13	statistical	statistical	ADJ
ejpam-6295	23	14	methods	method	NOUN
ejpam-6295	23	15	in	in	ADP
ejpam-6295	23	16	fields	field	NOUN
ejpam-6295	23	17	such	such	ADJ
ejpam-6295	23	18	as	as	ADP
ejpam-6295	23	19	reliability	reliability	NOUN
ejpam-6295	23	20	analysis	analysis	NOUN
ejpam-6295	23	21	,	,	PUNCT
ejpam-6295	23	22	survival	survival	NOUN
ejpam-6295	23	23	analysis	analysis	NOUN
ejpam-6295	23	24	,	,	PUNCT
ejpam-6295	23	25	and	and	CCONJ
ejpam-6295	23	26	actuarial	actuarial	ADJ
ejpam-6295	23	27	science	science	NOUN
ejpam-6295	23	28	.	.	PUNCT
ejpam-6295	24	1	1.1	1.1	NUM
ejpam-6295	24	2	.	.	PUNCT
ejpam-6295	25	1	motivation	motivation	NOUN
ejpam-6295	25	2	bayesian	bayesian	NOUN
ejpam-6295	25	3	estimation	estimation	NOUN
ejpam-6295	25	4	combines	combine	VERB
ejpam-6295	25	5	prior	prior	ADJ
ejpam-6295	25	6	information	information	NOUN
ejpam-6295	25	7	with	with	ADP
ejpam-6295	25	8	new	new	ADJ
ejpam-6295	25	9	data	datum	NOUN
ejpam-6295	25	10	to	to	PART
ejpam-6295	25	11	inform	inform	VERB
ejpam-6295	25	12	statistical	statistical	ADJ
ejpam-6295	25	13	inference	inference	NOUN
ejpam-6295	25	14	.	.	PUNCT
ejpam-6295	26	1	[	[	X
ejpam-6295	26	2	3	3	X
ejpam-6295	26	3	]	]	PUNCT
ejpam-6295	26	4	introduced	introduce	VERB
ejpam-6295	26	5	the	the	DET
ejpam-6295	26	6	lomax	lomax	PROPN
ejpam-6295	26	7	-	-	PUNCT
ejpam-6295	26	8	power	power	NOUN
ejpam-6295	26	9	rayleigh	rayleigh	NOUN
ejpam-6295	26	10	distribution	distribution	NOUN
ejpam-6295	26	11	(	(	PUNCT
ejpam-6295	26	12	lprd	lprd	NOUN
ejpam-6295	26	13	)	)	PUNCT
ejpam-6295	26	14	,	,	PUNCT
ejpam-6295	26	15	a	a	DET
ejpam-6295	26	16	four	four	NUM
ejpam-6295	26	17	-	-	PUNCT
ejpam-6295	26	18	parameter	parameter	NOUN
ejpam-6295	26	19	distribution	distribution	NOUN
ejpam-6295	26	20	with	with	ADP
ejpam-6295	26	21	various	various	ADJ
ejpam-6295	26	22	applications	application	NOUN
ejpam-6295	26	23	in	in	ADP
ejpam-6295	26	24	real	real	ADJ
ejpam-6295	26	25	-	-	PUNCT
ejpam-6295	26	26	world	world	NOUN
ejpam-6295	26	27	datasets	dataset	NOUN
ejpam-6295	26	28	.	.	PUNCT
ejpam-6295	27	1	the	the	DET
ejpam-6295	27	2	lprd	lprd	NOUN
ejpam-6295	27	3	performance	performance	NOUN
ejpam-6295	27	4	in	in	ADP
ejpam-6295	27	5	fitting	fitting	ADJ
ejpam-6295	27	6	real	real	ADJ
ejpam-6295	27	7	-	-	PUNCT
ejpam-6295	27	8	life	life	NOUN
ejpam-6295	27	9	data	data	NOUN
ejpam-6295	27	10	sets	set	NOUN
ejpam-6295	27	11	,	,	PUNCT
ejpam-6295	27	12	particularly	particularly	ADV
ejpam-6295	27	13	in	in	ADP
ejpam-6295	27	14	bioscience	bioscience	NOUN
ejpam-6295	27	15	,	,	PUNCT
ejpam-6295	27	16	motivated	motivate	VERB
ejpam-6295	27	17	us	we	PRON
ejpam-6295	27	18	to	to	PART
ejpam-6295	27	19	explore	explore	VERB
ejpam-6295	27	20	its	its	PRON
ejpam-6295	27	21	bayesian	bayesian	NOUN
ejpam-6295	27	22	estimation	estimation	NOUN
ejpam-6295	27	23	.	.	PUNCT
ejpam-6295	28	1	this	this	DET
ejpam-6295	28	2	paper	paper	NOUN
ejpam-6295	28	3	aims	aim	VERB
ejpam-6295	28	4	to	to	PART
ejpam-6295	28	5	estimate	estimate	VERB
ejpam-6295	28	6	the	the	DET
ejpam-6295	28	7	parameters	parameter	NOUN
ejpam-6295	28	8	of	of	ADP
ejpam-6295	28	9	the	the	DET
ejpam-6295	28	10	lprd	lprd	NOUN
ejpam-6295	28	11	using	use	VERB
ejpam-6295	28	12	a	a	DET
ejpam-6295	28	13	bayesian	bayesian	NOUN
ejpam-6295	28	14	approach	approach	NOUN
ejpam-6295	28	15	and	and	CCONJ
ejpam-6295	28	16	compare	compare	VERB
ejpam-6295	28	17	the	the	DET
ejpam-6295	28	18	results	result	NOUN
ejpam-6295	28	19	with	with	ADP
ejpam-6295	28	20	the	the	DET
ejpam-6295	28	21	classical	classical	ADJ
ejpam-6295	28	22	approach	approach	NOUN
ejpam-6295	28	23	proposed	propose	VERB
ejpam-6295	28	24	by	by	ADP
ejpam-6295	28	25	[	[	X
ejpam-6295	28	26	3	3	NUM
ejpam-6295	28	27	]	]	PUNCT
ejpam-6295	28	28	.	.	PUNCT
ejpam-6295	29	1	the	the	DET
ejpam-6295	29	2	lprd	lprd	NOUN
ejpam-6295	29	3	(	(	PUNCT
ejpam-6295	29	4	t	t	PROPN
ejpam-6295	29	5	-	-	PUNCT
ejpam-6295	29	6	x	x	NOUN
ejpam-6295	29	7	)	)	PUNCT
ejpam-6295	29	8	flexibility	flexibility	NOUN
ejpam-6295	29	9	and	and	CCONJ
ejpam-6295	29	10	performance	performance	NOUN
ejpam-6295	29	11	make	make	VERB
ejpam-6295	29	12	it	it	PRON
ejpam-6295	29	13	suitable	suitable	ADJ
ejpam-6295	29	14	for	for	ADP
ejpam-6295	29	15	applications	application	NOUN
ejpam-6295	29	16	in	in	ADP
ejpam-6295	29	17	fields	field	NOUN
ejpam-6295	29	18	like	like	ADP
ejpam-6295	29	19	engineering	engineering	NOUN
ejpam-6295	29	20	,	,	PUNCT
ejpam-6295	29	21	survival	survival	NOUN
ejpam-6295	29	22	analysis	analysis	NOUN
ejpam-6295	29	23	,	,	PUNCT
ejpam-6295	29	24	hydrology	hydrology	NOUN
ejpam-6295	29	25	,	,	PUNCT
ejpam-6295	29	26	economics	economic	NOUN
ejpam-6295	29	27	,	,	PUNCT
ejpam-6295	29	28	and	and	CCONJ
ejpam-6295	29	29	bioscience	bioscience	NOUN
ejpam-6295	29	30	.	.	PUNCT
ejpam-6295	30	1	in	in	ADP
ejpam-6295	30	2	this	this	DET
ejpam-6295	30	3	study	study	NOUN
ejpam-6295	30	4	,	,	PUNCT
ejpam-6295	30	5	we	we	PRON
ejpam-6295	30	6	considered	consider	VERB
ejpam-6295	30	7	uniform	uniform	NOUN
ejpam-6295	30	8	and	and	CCONJ
ejpam-6295	30	9	jeffery	jeffery	PROPN
ejpam-6295	30	10	priors	prior	NOUN
ejpam-6295	30	11	which	which	PRON
ejpam-6295	30	12	are	be	AUX
ejpam-6295	30	13	commonly	commonly	ADV
ejpam-6295	30	14	used	use	VERB
ejpam-6295	30	15	because	because	SCONJ
ejpam-6295	30	16	of	of	ADP
ejpam-6295	30	17	the	the	DET
ejpam-6295	30	18	non	non	ADJ
ejpam-6295	30	19	-	-	ADJ
ejpam-6295	30	20	informative	informative	ADJ
ejpam-6295	30	21	nature	nature	NOUN
ejpam-6295	30	22	.	.	PUNCT
ejpam-6295	31	1	these	these	DET
ejpam-6295	31	2	priors	prior	NOUN
ejpam-6295	31	3	contribute	contribute	VERB
ejpam-6295	31	4	little	little	ADJ
ejpam-6295	31	5	subjective	subjective	ADJ
ejpam-6295	31	6	information	information	NOUN
ejpam-6295	31	7	,	,	PUNCT
ejpam-6295	31	8	making	make	VERB
ejpam-6295	31	9	them	they	PRON
ejpam-6295	31	10	suitable	suitable	ADJ
ejpam-6295	31	11	when	when	SCONJ
ejpam-6295	31	12	there	there	PRON
ejpam-6295	31	13	is	be	VERB
ejpam-6295	31	14	no	no	DET
ejpam-6295	31	15	strong	strong	ADJ
ejpam-6295	31	16	information	information	NOUN
ejpam-6295	31	17	about	about	ADP
ejpam-6295	31	18	the	the	DET
ejpam-6295	31	19	parameter	parameter	NOUN
ejpam-6295	31	20	values	value	NOUN
ejpam-6295	31	21	.	.	PUNCT
ejpam-6295	32	1	secondly	secondly	ADV
ejpam-6295	32	2	,	,	PUNCT
ejpam-6295	32	3	prior	prior	ADJ
ejpam-6295	32	4	information	information	NOUN
ejpam-6295	32	5	is	be	AUX
ejpam-6295	32	6	not	not	PART
ejpam-6295	32	7	available	available	ADJ
ejpam-6295	32	8	and	and	CCONJ
ejpam-6295	32	9	hence	hence	ADV
ejpam-6295	32	10	these	these	DET
ejpam-6295	32	11	priors	prior	NOUN
ejpam-6295	32	12	can	can	AUX
ejpam-6295	32	13	be	be	AUX
ejpam-6295	32	14	used	use	VERB
ejpam-6295	32	15	as	as	ADP
ejpam-6295	32	16	benchmarks	benchmark	NOUN
ejpam-6295	32	17	or	or	CCONJ
ejpam-6295	32	18	as	as	ADP
ejpam-6295	32	19	reference	reference	NOUN
ejpam-6295	32	20	priors	prior	NOUN
ejpam-6295	32	21	.	.	PUNCT
ejpam-6295	33	1	thirdly	thirdly	ADV
ejpam-6295	33	2	,	,	PUNCT
ejpam-6295	33	3	jeffery	jeffery	PROPN
ejpam-6295	33	4	priors	prior	NOUN
ejpam-6295	33	5	are	be	AUX
ejpam-6295	33	6	dominant	dominant	ADJ
ejpam-6295	33	7	over	over	ADP
ejpam-6295	33	8	others	other	NOUN
ejpam-6295	33	9	because	because	SCONJ
ejpam-6295	33	10	of	of	ADP
ejpam-6295	33	11	their	their	PRON
ejpam-6295	33	12	invariance	invariance	NOUN
ejpam-6295	33	13	property	property	NOUN
ejpam-6295	33	14	.	.	PUNCT
ejpam-6295	34	1	the	the	DET
ejpam-6295	34	2	paper	paper	NOUN
ejpam-6295	34	3	is	be	AUX
ejpam-6295	34	4	structured	structure	VERB
ejpam-6295	34	5	as	as	SCONJ
ejpam-6295	34	6	follows	follow	VERB
ejpam-6295	34	7	:	:	PUNCT
ejpam-6295	34	8	section	section	NOUN
ejpam-6295	34	9	2	2	NUM
ejpam-6295	34	10	introduces	introduce	VERB
ejpam-6295	34	11	the	the	DET
ejpam-6295	34	12	lprd	lprd	NOUN
ejpam-6295	34	13	(	(	PUNCT
ejpam-6295	34	14	t	t	PROPN
ejpam-6295	34	15	-	-	PUNCT
ejpam-6295	34	16	x)and	x)and	PROPN
ejpam-6295	34	17	explores	explore	VERB
ejpam-6295	34	18	its	its	PRON
ejpam-6295	34	19	likelihood	likelihood	NOUN
ejpam-6295	34	20	-	-	PUNCT
ejpam-6295	34	21	based	base	VERB
ejpam-6295	34	22	parameter	parameter	NOUN
ejpam-6295	34	23	estimation	estimation	NOUN
ejpam-6295	34	24	.	.	PUNCT
ejpam-6295	35	1	section	section	NOUN
ejpam-6295	35	2	3	3	NUM
ejpam-6295	35	3	derives	derive	VERB
ejpam-6295	35	4	bayesian	bayesian	NOUN
ejpam-6295	35	5	estimation	estimation	NOUN
ejpam-6295	35	6	methods	method	NOUN
ejpam-6295	35	7	for	for	ADP
ejpam-6295	35	8	the	the	DET
ejpam-6295	35	9	lprd	lprd	NOUN
ejpam-6295	35	10	parameters	parameter	NOUN
ejpam-6295	35	11	.	.	PUNCT
ejpam-6295	36	1	section	section	NOUN
ejpam-6295	36	2	4	4	NUM
ejpam-6295	36	3	discusses	discuss	VERB
ejpam-6295	36	4	the	the	DET
ejpam-6295	36	5	simulation	simulation	NOUN
ejpam-6295	36	6	setup	setup	NOUN
ejpam-6295	36	7	used	use	VERB
ejpam-6295	36	8	in	in	ADP
ejpam-6295	36	9	the	the	DET
ejpam-6295	36	10	study	study	NOUN
ejpam-6295	36	11	.	.	PUNCT
ejpam-6295	37	1	section	section	NOUN
ejpam-6295	37	2	5	5	NUM
ejpam-6295	37	3	presents	present	VERB
ejpam-6295	37	4	the	the	DET
ejpam-6295	37	5	analysis	analysis	NOUN
ejpam-6295	37	6	and	and	CCONJ
ejpam-6295	37	7	results	result	NOUN
ejpam-6295	37	8	,	,	PUNCT
ejpam-6295	37	9	while	while	SCONJ
ejpam-6295	37	10	section	section	NOUN
ejpam-6295	37	11	6	6	NUM
ejpam-6295	37	12	concludes	conclude	VERB
ejpam-6295	37	13	the	the	DET
ejpam-6295	37	14	study	study	NOUN
ejpam-6295	37	15	,	,	PUNCT
ejpam-6295	37	16	outlining	outline	VERB
ejpam-6295	37	17	future	future	ADJ
ejpam-6295	37	18	research	research	NOUN
ejpam-6295	37	19	directions	direction	NOUN
ejpam-6295	37	20	and	and	CCONJ
ejpam-6295	37	21	contributions	contribution	NOUN
ejpam-6295	37	22	.	.	PUNCT
ejpam-6295	38	1	muhammad	muhammad	PROPN
ejpam-6295	38	2	ijaz	ijaz	PROPN
ejpam-6295	38	3	et	et	PROPN
ejpam-6295	38	4	al	al	PROPN
ejpam-6295	38	5	.	.	PUNCT
ejpam-6295	38	6	/	/	SYM
ejpam-6295	38	7	eur	eur	PROPN
ejpam-6295	38	8	.	.	PUNCT
ejpam-6295	39	1	j.	j.	PROPN
ejpam-6295	39	2	pure	pure	PROPN
ejpam-6295	39	3	appl	appl	PROPN
ejpam-6295	39	4	.	.	PROPN
ejpam-6295	39	5	math	math	PROPN
ejpam-6295	39	6	,	,	PUNCT
ejpam-6295	39	7	18	18	NUM
ejpam-6295	39	8	(	(	PUNCT
ejpam-6295	39	9	3	3	NUM
ejpam-6295	39	10	)	)	PUNCT
ejpam-6295	39	11	(	(	PUNCT
ejpam-6295	39	12	2025	2025	NUM
ejpam-6295	39	13	)	)	PUNCT
ejpam-6295	39	14	,	,	PUNCT
ejpam-6295	39	15	6295	6295	NUM
ejpam-6295	39	16	3	3	NUM
ejpam-6295	39	17	of	of	ADP
ejpam-6295	39	18	12	12	NUM
ejpam-6295	39	19	2	2	NUM
ejpam-6295	39	20	.	.	PUNCT
ejpam-6295	39	21	methods	method	NOUN
ejpam-6295	39	22	and	and	CCONJ
ejpam-6295	39	23	material	material	NOUN
ejpam-6295	39	24	2.1	2.1	NUM
ejpam-6295	39	25	.	.	PUNCT
ejpam-6295	40	1	lomax	lomax	NOUN
ejpam-6295	40	2	-	-	PUNCT
ejpam-6295	40	3	power	power	PROPN
ejpam-6295	40	4	rayleigh	rayleigh	PROPN
ejpam-6295	40	5	(	(	PUNCT
ejpam-6295	40	6	t	t	PROPN
ejpam-6295	40	7	-	-	PUNCT
ejpam-6295	40	8	x	x	NOUN
ejpam-6295	40	9	)	)	PUNCT
ejpam-6295	40	10	distribution	distribution	NOUN
ejpam-6295	40	11	lomax	lomax	NOUN
ejpam-6295	40	12	-	-	PUNCT
ejpam-6295	40	13	power	power	PROPN
ejpam-6295	40	14	rayleigh	rayleigh	PROPN
ejpam-6295	40	15	(	(	PUNCT
ejpam-6295	40	16	t	t	PROPN
ejpam-6295	40	17	-	-	PUNCT
ejpam-6295	40	18	x	x	NOUN
ejpam-6295	40	19	)	)	PUNCT
ejpam-6295	40	20	distribution	distribution	NOUN
ejpam-6295	40	21	introduced	introduce	VERB
ejpam-6295	40	22	by	by	ADP
ejpam-6295	40	23	[	[	X
ejpam-6295	40	24	3	3	NUM
ejpam-6295	40	25	]	]	PUNCT
ejpam-6295	40	26	is	be	AUX
ejpam-6295	40	27	a	a	DET
ejpam-6295	40	28	statistical	statistical	ADJ
ejpam-6295	40	29	distribution	distribution	NOUN
ejpam-6295	40	30	combining	combine	VERB
ejpam-6295	40	31	lomax	lomax	PROPN
ejpam-6295	40	32	and	and	CCONJ
ejpam-6295	40	33	power	power	PROPN
ejpam-6295	40	34	rayleigh	rayleigh	PROPN
ejpam-6295	40	35	distributions	distribution	NOUN
ejpam-6295	40	36	using	use	VERB
ejpam-6295	40	37	transformed	transform	VERB
ejpam-6295	40	38	-	-	PUNCT
ejpam-6295	40	39	transformer	transformer	NOUN
ejpam-6295	40	40	(	(	PUNCT
ejpam-6295	40	41	t	t	NOUN
ejpam-6295	40	42	-	-	PUNCT
ejpam-6295	40	43	x	x	NOUN
ejpam-6295	40	44	)	)	PUNCT
ejpam-6295	40	45	family	family	NOUN
ejpam-6295	40	46	method	method	NOUN
ejpam-6295	40	47	.	.	PUNCT
ejpam-6295	41	1	it	it	PRON
ejpam-6295	41	2	is	be	AUX
ejpam-6295	41	3	a	a	DET
ejpam-6295	41	4	flexible	flexible	ADJ
ejpam-6295	41	5	distribution	distribution	NOUN
ejpam-6295	41	6	for	for	ADP
ejpam-6295	41	7	modeling	model	VERB
ejpam-6295	41	8	various	various	ADJ
ejpam-6295	41	9	data	datum	NOUN
ejpam-6295	41	10	types	type	NOUN
ejpam-6295	41	11	,	,	PUNCT
ejpam-6295	41	12	particularly	particularly	ADV
ejpam-6295	41	13	those	those	PRON
ejpam-6295	41	14	with	with	ADP
ejpam-6295	41	15	heavy	heavy	ADJ
ejpam-6295	41	16	tails	tail	NOUN
ejpam-6295	41	17	and	and	CCONJ
ejpam-6295	41	18	positive	positive	ADJ
ejpam-6295	41	19	skewness	skewness	NOUN
ejpam-6295	41	20	.	.	PUNCT
ejpam-6295	42	1	let	let	VERB
ejpam-6295	42	2	a	a	DET
ejpam-6295	42	3	random	random	ADJ
ejpam-6295	42	4	variable	variable	NOUN
ejpam-6295	42	5	x	x	PUNCT
ejpam-6295	42	6	follow	follow	VERB
ejpam-6295	42	7	a	a	DET
ejpam-6295	42	8	lomax	lomax	NOUN
ejpam-6295	42	9	-	-	PUNCT
ejpam-6295	42	10	power	power	NOUN
ejpam-6295	42	11	rayleigh	rayleigh	PROPN
ejpam-6295	42	12	(	(	PUNCT
ejpam-6295	42	13	t	t	PROPN
ejpam-6295	42	14	-	-	PUNCT
ejpam-6295	42	15	x	x	NOUN
ejpam-6295	42	16	)	)	PUNCT
ejpam-6295	42	17	distribution	distribution	NOUN
ejpam-6295	42	18	with	with	ADP
ejpam-6295	42	19	the	the	DET
ejpam-6295	42	20	following	follow	VERB
ejpam-6295	42	21	density	density	NOUN
ejpam-6295	42	22	function	function	NOUN
ejpam-6295	42	23	:	:	PUNCT
ejpam-6295	43	1	f	f	PROPN
ejpam-6295	43	2	(	(	PUNCT
ejpam-6295	43	3	x	x	X
ejpam-6295	43	4	)	)	PUNCT
ejpam-6295	43	5	=	=	SYM
ejpam-6295	43	6	αθλ	αθλ	NOUN
ejpam-6295	43	7	β2	β2	PROPN
ejpam-6295	43	8	x2α−1	x2α−1	PROPN
ejpam-6295	43	9	(	(	PUNCT
ejpam-6295	43	10	1	1	NUM
ejpam-6295	43	11	+	+	PROPN
ejpam-6295	43	12	λx2α	λx2α	PROPN
ejpam-6295	43	13	2β2	2β2	NUM
ejpam-6295	43	14	)	)	PUNCT
ejpam-6295	43	15	−(θ+1	−(θ+1	PROPN
ejpam-6295	43	16	)	)	PUNCT
ejpam-6295	43	17	,	,	PUNCT
ejpam-6295	43	18	α	α	X
ejpam-6295	43	19	,	,	PUNCT
ejpam-6295	43	20	β	β	X
ejpam-6295	43	21	,	,	PUNCT
ejpam-6295	43	22	λ	λ	PROPN
ejpam-6295	43	23	,	,	PUNCT
ejpam-6295	43	24	θ	θ	PROPN
ejpam-6295	43	25	≥	≥	NOUN
ejpam-6295	43	26	0	0	NUM
ejpam-6295	43	27	,	,	PUNCT
ejpam-6295	43	28	x	x	X
ejpam-6295	43	29	≥	≥	NUM
ejpam-6295	43	30	0	0	NUM
ejpam-6295	43	31	(	(	PUNCT
ejpam-6295	43	32	1	1	NUM
ejpam-6295	43	33	)	)	PUNCT
ejpam-6295	43	34	where	where	SCONJ
ejpam-6295	43	35	,	,	PUNCT
ejpam-6295	43	36	α	α	X
ejpam-6295	43	37	,	,	PUNCT
ejpam-6295	43	38	λ	λ	NOUN
ejpam-6295	43	39	are	be	AUX
ejpam-6295	43	40	shape	shape	NOUN
ejpam-6295	43	41	parameters	parameter	NOUN
ejpam-6295	43	42	and	and	CCONJ
ejpam-6295	43	43	β	β	NOUN
ejpam-6295	43	44	and	and	CCONJ
ejpam-6295	43	45	θ	θ	PROPN
ejpam-6295	43	46	are	be	AUX
ejpam-6295	43	47	scale	scale	NOUN
ejpam-6295	43	48	parameters	parameter	NOUN
ejpam-6295	43	49	.	.	PUNCT
ejpam-6295	44	1	the	the	DET
ejpam-6295	44	2	corresponding	correspond	VERB
ejpam-6295	44	3	cdf	cdf	PROPN
ejpam-6295	44	4	is	be	AUX
ejpam-6295	44	5	given	give	VERB
ejpam-6295	44	6	by	by	ADP
ejpam-6295	44	7	f	f	PROPN
ejpam-6295	44	8	(	(	PUNCT
ejpam-6295	44	9	x	x	NOUN
ejpam-6295	44	10	)	)	PUNCT
ejpam-6295	44	11	=	=	SYM
ejpam-6295	44	12	(	(	PUNCT
ejpam-6295	44	13	2β2	2β2	NUM
ejpam-6295	44	14	2β2	2β2	NUM
ejpam-6295	44	15	+	+	CCONJ
ejpam-6295	44	16	λx2α	λx2α	PROPN
ejpam-6295	44	17	)	)	PUNCT
ejpam-6295	44	18	θ	θ	PROPN
ejpam-6295	44	19	,	,	PUNCT
ejpam-6295	44	20	α	α	X
ejpam-6295	44	21	,	,	PUNCT
ejpam-6295	44	22	β	β	X
ejpam-6295	44	23	,	,	PUNCT
ejpam-6295	44	24	λ	λ	PROPN
ejpam-6295	44	25	,	,	PUNCT
ejpam-6295	44	26	θ	θ	PROPN
ejpam-6295	44	27	≥	≥	NOUN
ejpam-6295	44	28	0	0	NUM
ejpam-6295	44	29	,	,	PUNCT
ejpam-6295	44	30	x	x	X
ejpam-6295	44	31	≥	≥	NUM
ejpam-6295	44	32	0	0	NUM
ejpam-6295	44	33	the	the	DET
ejpam-6295	44	34	hazard	hazard	NOUN
ejpam-6295	44	35	rate	rate	NOUN
ejpam-6295	44	36	function	function	NOUN
ejpam-6295	44	37	of	of	ADP
ejpam-6295	44	38	lprd	lprd	NOUN
ejpam-6295	44	39	(	(	PUNCT
ejpam-6295	44	40	t	t	PROPN
ejpam-6295	44	41	-	-	PUNCT
ejpam-6295	44	42	x	x	NOUN
ejpam-6295	44	43	)	)	PUNCT
ejpam-6295	44	44	is	be	AUX
ejpam-6295	44	45	defined	define	VERB
ejpam-6295	44	46	as	as	ADP
ejpam-6295	44	47	h	h	NOUN
ejpam-6295	44	48	(	(	PUNCT
ejpam-6295	44	49	x	x	NOUN
ejpam-6295	44	50	)	)	PUNCT
ejpam-6295	45	1	=	=	SYM
ejpam-6295	45	2	2αθλ	2αθλ	NUM
ejpam-6295	45	3	(	(	PUNCT
ejpam-6295	45	4	2β2x	2β2x	NUM
ejpam-6295	45	5	2α	2α	X
ejpam-6295	45	6	x2α	x2α	PROPN
ejpam-6295	46	1	+	+	NUM
ejpam-6295	46	2	λ	λ	PROPN
ejpam-6295	46	3	)	)	PUNCT
ejpam-6295	46	4	−1	−1	NOUN
ejpam-6295	46	5	,	,	PUNCT
ejpam-6295	46	6	α	α	X
ejpam-6295	46	7	,	,	PUNCT
ejpam-6295	46	8	β	β	X
ejpam-6295	46	9	,	,	PUNCT
ejpam-6295	46	10	λ	λ	PROPN
ejpam-6295	46	11	,	,	PUNCT
ejpam-6295	46	12	θ	θ	PROPN
ejpam-6295	46	13	≥	≥	NOUN
ejpam-6295	46	14	0	0	NUM
ejpam-6295	46	15	,	,	PUNCT
ejpam-6295	46	16	x	x	X
ejpam-6295	46	17	≥	≥	NOUN
ejpam-6295	46	18	0	0	NUM
ejpam-6295	46	19	1	1	NUM
ejpam-6295	46	20	defines	define	VERB
ejpam-6295	46	21	the	the	DET
ejpam-6295	46	22	plot	plot	NOUN
ejpam-6295	46	23	of	of	ADP
ejpam-6295	46	24	pdf	pdf	NOUN
ejpam-6295	46	25	and	and	CCONJ
ejpam-6295	46	26	cdf	cdf	PROPN
ejpam-6295	46	27	while	while	SCONJ
ejpam-6295	46	28	2	2	NUM
ejpam-6295	46	29	explains	explain	VERB
ejpam-6295	46	30	different	different	ADJ
ejpam-6295	46	31	shapes	shape	NOUN
ejpam-6295	46	32	of	of	ADP
ejpam-6295	46	33	the	the	DET
ejpam-6295	46	34	hazard	hazard	NOUN
ejpam-6295	46	35	rate	rate	NOUN
ejpam-6295	46	36	functions	function	NOUN
ejpam-6295	46	37	.	.	PUNCT
ejpam-6295	47	1	,	,	PUNCT
ejpam-6295	47	2	figure	figure	VERB
ejpam-6295	47	3	1	1	NUM
ejpam-6295	47	4	:	:	PUNCT
ejpam-6295	47	5	pdf	pdf	NOUN
ejpam-6295	47	6	and	and	CCONJ
ejpam-6295	47	7	cdf	cdf	NOUN
ejpam-6295	47	8	plots	plot	NOUN
ejpam-6295	47	9	of	of	ADP
ejpam-6295	47	10	lprd	lprd	NOUN
ejpam-6295	47	11	(	(	PUNCT
ejpam-6295	47	12	t	t	PROPN
ejpam-6295	47	13	-	-	PUNCT
ejpam-6295	47	14	x	x	NOUN
ejpam-6295	47	15	)	)	PUNCT
ejpam-6295	47	16	muhammad	muhammad	PROPN
ejpam-6295	47	17	ijaz	ijaz	PROPN
ejpam-6295	47	18	et	et	PROPN
ejpam-6295	47	19	al	al	PROPN
ejpam-6295	47	20	.	.	PUNCT
ejpam-6295	47	21	/	/	SYM
ejpam-6295	47	22	eur	eur	PROPN
ejpam-6295	47	23	.	.	PUNCT
ejpam-6295	48	1	j.	j.	PROPN
ejpam-6295	48	2	pure	pure	PROPN
ejpam-6295	48	3	appl	appl	PROPN
ejpam-6295	48	4	.	.	PROPN
ejpam-6295	48	5	math	math	PROPN
ejpam-6295	48	6	,	,	PUNCT
ejpam-6295	48	7	18	18	NUM
ejpam-6295	48	8	(	(	PUNCT
ejpam-6295	48	9	3	3	NUM
ejpam-6295	48	10	)	)	PUNCT
ejpam-6295	48	11	(	(	PUNCT
ejpam-6295	48	12	2025	2025	NUM
ejpam-6295	48	13	)	)	PUNCT
ejpam-6295	48	14	,	,	PUNCT
ejpam-6295	48	15	6295	6295	NUM
ejpam-6295	48	16	4	4	NUM
ejpam-6295	48	17	of	of	ADP
ejpam-6295	48	18	12	12	NUM
ejpam-6295	48	19	figure	figure	NOUN
ejpam-6295	48	20	2	2	NUM
ejpam-6295	48	21	:	:	PUNCT
ejpam-6295	48	22	hazard	hazard	NOUN
ejpam-6295	48	23	rate	rate	NOUN
ejpam-6295	48	24	function	function	NOUN
ejpam-6295	48	25	of	of	ADP
ejpam-6295	48	26	lprd	lprd	NOUN
ejpam-6295	48	27	(	(	PUNCT
ejpam-6295	48	28	t	t	PROPN
ejpam-6295	48	29	-	-	PUNCT
ejpam-6295	48	30	x	x	NOUN
ejpam-6295	48	31	)	)	PUNCT
ejpam-6295	48	32	2.2	2.2	NUM
ejpam-6295	48	33	.	.	PUNCT
ejpam-6295	49	1	the	the	DET
ejpam-6295	49	2	classical	classical	ADJ
ejpam-6295	49	3	estimation	estimation	NOUN
ejpam-6295	49	4	the	the	DET
ejpam-6295	49	5	likelihood	likelihood	NOUN
ejpam-6295	49	6	function	function	NOUN
ejpam-6295	49	7	of	of	ADP
ejpam-6295	49	8	(	(	PUNCT
ejpam-6295	49	9	1	1	X
ejpam-6295	49	10	)	)	PUNCT
ejpam-6295	49	11	which	which	PRON
ejpam-6295	49	12	introduced	introduce	VERB
ejpam-6295	49	13	by	by	ADP
ejpam-6295	49	14	[	[	X
ejpam-6295	49	15	3	3	NUM
ejpam-6295	49	16	]	]	PUNCT
ejpam-6295	49	17	becomes	become	VERB
ejpam-6295	49	18	n∏	n∏	PROPN
ejpam-6295	49	19	i=0	i=0	PROPN
ejpam-6295	49	20	f	f	X
ejpam-6295	49	21	(	(	PUNCT
ejpam-6295	49	22	x	x	NOUN
ejpam-6295	49	23	)	)	PUNCT
ejpam-6295	49	24	=	=	SYM
ejpam-6295	49	25	(	(	PUNCT
ejpam-6295	49	26	αθλ	αθλ	NOUN
ejpam-6295	49	27	β2	β2	PROPN
ejpam-6295	49	28	)	)	PUNCT
ejpam-6295	49	29	n	n	PROPN
ejpam-6295	49	30	n∏	n∏	PROPN
ejpam-6295	49	31	i=0	i=0	PROPN
ejpam-6295	49	32	x2α−1e	x2α−1e	PUNCT
ejpam-6295	50	1	∑n	∑n	PROPN
ejpam-6295	50	2	i=0	i=0	PROPN
ejpam-6295	50	3	(	(	PUNCT
ejpam-6295	50	4	1+λx2α	1+λx2α	NUM
ejpam-6295	50	5	2β2	2β2	NUM
ejpam-6295	50	6	)	)	PUNCT
ejpam-6295	50	7	−(θ+1	−(θ+1	PROPN
ejpam-6295	50	8	)	)	PUNCT
ejpam-6295	50	9	(	(	PUNCT
ejpam-6295	50	10	2	2	X
ejpam-6295	50	11	)	)	PUNCT
ejpam-6295	50	12	l	l	NOUN
ejpam-6295	50	13	=	=	PUNCT
ejpam-6295	50	14	n∏	n∏	PROPN
ejpam-6295	50	15	i=1	i=1	PROPN
ejpam-6295	50	16	f(x	f(x	PROPN
ejpam-6295	50	17	)	)	PUNCT
ejpam-6295	51	1	=	=	PRON
ejpam-6295	51	2	(	(	PUNCT
ejpam-6295	51	3	αθλ	αθλ	NOUN
ejpam-6295	51	4	β2	β2	PROPN
ejpam-6295	51	5	)	)	PUNCT
ejpam-6295	51	6	n	n	PROPN
ejpam-6295	51	7	n∏	n∏	PROPN
ejpam-6295	51	8	i=0	i=0	PROPN
ejpam-6295	51	9	x2α−1	x2α−1	PROPN
ejpam-6295	51	10	(	(	PUNCT
ejpam-6295	51	11	1	1	NUM
ejpam-6295	51	12	+	+	PROPN
ejpam-6295	51	13	λx2α	λx2α	PROPN
ejpam-6295	51	14	2β2	2β2	NUM
ejpam-6295	51	15	)	)	PUNCT
ejpam-6295	51	16	−(θ+1	−(θ+1	PROPN
ejpam-6295	51	17	)	)	PUNCT
ejpam-6295	52	1	the	the	DET
ejpam-6295	52	2	loglikelihood	loglikelihood	ADJ
ejpam-6295	52	3	function	function	NOUN
ejpam-6295	52	4	logl	logl	NOUN
ejpam-6295	52	5	=	=	NOUN
ejpam-6295	52	6	nlogα+	nlogα+	X
ejpam-6295	52	7	nlogθ	nlogθ	NOUN
ejpam-6295	52	8	+	+	CCONJ
ejpam-6295	52	9	nlogλ	nlogλ	ADJ
ejpam-6295	52	10	−	−	NUM
ejpam-6295	52	11	2nlogβ	2nlogβ	NUM
ejpam-6295	52	12	+	+	CCONJ
ejpam-6295	52	13	(	(	PUNCT
ejpam-6295	52	14	2α−	2α−	NUM
ejpam-6295	52	15	1	1	NUM
ejpam-6295	52	16	)	)	PUNCT
ejpam-6295	52	17	n∑	n∑	NOUN
ejpam-6295	52	18	i=1	i=1	PROPN
ejpam-6295	52	19	log(xi	log(xi	X
ejpam-6295	52	20	)	)	PUNCT
ejpam-6295	52	21	−	−	PROPN
ejpam-6295	52	22	(	(	PUNCT
ejpam-6295	52	23	θ	θ	NOUN
ejpam-6295	52	24	+	+	NOUN
ejpam-6295	52	25	1	1	X
ejpam-6295	52	26	)	)	PUNCT
ejpam-6295	52	27	n∑	n∑	NOUN
ejpam-6295	53	1	i=1	i=1	PROPN
ejpam-6295	53	2	log	log	NOUN
ejpam-6295	53	3	(	(	PUNCT
ejpam-6295	53	4	2β2	2β2	NUM
ejpam-6295	53	5	+	+	CCONJ
ejpam-6295	53	6	λx2α	λx2α	PROPN
ejpam-6295	53	7	)	)	PUNCT
ejpam-6295	54	1	+	+	CCONJ
ejpam-6295	54	2	(	(	PUNCT
ejpam-6295	54	3	θ	θ	NOUN
ejpam-6295	54	4	+	+	NOUN
ejpam-6295	54	5	1	1	X
ejpam-6295	54	6	)	)	PUNCT
ejpam-6295	54	7	n∑	n∑	NOUN
ejpam-6295	55	1	i=1	i=1	PROPN
ejpam-6295	55	2	log	log	NOUN
ejpam-6295	55	3	(	(	PUNCT
ejpam-6295	55	4	2β2	2β2	NUM
ejpam-6295	55	5	)	)	PUNCT
ejpam-6295	55	6	by	by	ADP
ejpam-6295	55	7	partially	partially	ADV
ejpam-6295	55	8	differentiating	differentiate	VERB
ejpam-6295	55	9	the	the	DET
ejpam-6295	55	10	above	above	ADJ
ejpam-6295	55	11	equation	equation	NOUN
ejpam-6295	55	12	with	with	ADP
ejpam-6295	55	13	respect	respect	NOUN
ejpam-6295	55	14	to	to	ADP
ejpam-6295	55	15	α	α	NUM
ejpam-6295	55	16	,	,	PUNCT
ejpam-6295	55	17	θ	θ	PROPN
ejpam-6295	55	18	and	and	CCONJ
ejpam-6295	55	19	λ	λ	PROPN
ejpam-6295	55	20	respectively	respectively	ADV
ejpam-6295	55	21	and	and	CCONJ
ejpam-6295	55	22	setting	set	VERB
ejpam-6295	55	23	it	it	PRON
ejpam-6295	55	24	equal	equal	ADJ
ejpam-6295	55	25	to	to	ADP
ejpam-6295	55	26	zero	zero	NUM
ejpam-6295	55	27	,	,	PUNCT
ejpam-6295	55	28	we	we	PRON
ejpam-6295	55	29	obtain	obtain	VERB
ejpam-6295	55	30	the	the	DET
ejpam-6295	55	31	following	follow	VERB
ejpam-6295	55	32	estimators	estimator	NOUN
ejpam-6295	55	33	for	for	ADP
ejpam-6295	55	34	the	the	DET
ejpam-6295	55	35	parameters	parameter	NOUN
ejpam-6295	55	36	:	:	PUNCT
ejpam-6295	55	37	α̂	α̂	NUM
ejpam-6295	55	38	=	=	SYM
ejpam-6295	55	39	n	n	PRON
ejpam-6295	55	40	2	2	NUM
ejpam-6295	55	41	∑n	∑n	PROPN
ejpam-6295	55	42	i=1	i=1	X
ejpam-6295	55	43	xi	xi	X
ejpam-6295	56	1	[	[	X
ejpam-6295	56	2	(	(	PUNCT
ejpam-6295	56	3	θ	θ	NOUN
ejpam-6295	56	4	+	+	NOUN
ejpam-6295	56	5	1)λ−	1)λ−	NUM
ejpam-6295	56	6	1	1	NUM
ejpam-6295	56	7	]	]	PUNCT
ejpam-6295	56	8	,	,	PUNCT
ejpam-6295	56	9	θ̂	θ̂	PUNCT
ejpam-6295	56	10	=	=	PUNCT
ejpam-6295	56	11	n	n	NUM
ejpam-6295	56	12	2αλ	2αλ	NOUN
ejpam-6295	57	1	∑n	∑n	PROPN
ejpam-6295	58	1	i=1	i=1	X
ejpam-6295	58	2	xi	xi	X
ejpam-6295	58	3	,	,	PUNCT
ejpam-6295	58	4	λ̂	λ̂	X
ejpam-6295	58	5	=	=	SYM
ejpam-6295	58	6	n	n	PRON
ejpam-6295	58	7	2α	2α	NOUN
ejpam-6295	58	8	(	(	PUNCT
ejpam-6295	58	9	θ	θ	NOUN
ejpam-6295	58	10	+	+	NOUN
ejpam-6295	58	11	1	1	X
ejpam-6295	58	12	)	)	PUNCT
ejpam-6295	58	13	∑n	∑n	PROPN
ejpam-6295	58	14	i=1	i=1	X
ejpam-6295	58	15	xi	xi	X
ejpam-6295	58	16	.	.	PUNCT
ejpam-6295	59	1	these	these	DET
ejpam-6295	59	2	estimators	estimator	NOUN
ejpam-6295	59	3	are	be	AUX
ejpam-6295	59	4	also	also	ADV
ejpam-6295	59	5	presented	present	VERB
ejpam-6295	59	6	by	by	ADP
ejpam-6295	59	7	[	[	X
ejpam-6295	59	8	3	3	NUM
ejpam-6295	59	9	]	]	PUNCT
ejpam-6295	59	10	.	.	PUNCT
ejpam-6295	60	1	muhammad	muhammad	PROPN
ejpam-6295	60	2	ijaz	ijaz	PROPN
ejpam-6295	60	3	et	et	PROPN
ejpam-6295	60	4	al	al	PROPN
ejpam-6295	60	5	.	.	PUNCT
ejpam-6295	60	6	/	/	SYM
ejpam-6295	60	7	eur	eur	PROPN
ejpam-6295	60	8	.	.	PUNCT
ejpam-6295	61	1	j.	j.	PROPN
ejpam-6295	61	2	pure	pure	PROPN
ejpam-6295	61	3	appl	appl	PROPN
ejpam-6295	61	4	.	.	PROPN
ejpam-6295	61	5	math	math	PROPN
ejpam-6295	61	6	,	,	PUNCT
ejpam-6295	61	7	18	18	NUM
ejpam-6295	61	8	(	(	PUNCT
ejpam-6295	61	9	3	3	NUM
ejpam-6295	61	10	)	)	PUNCT
ejpam-6295	61	11	(	(	PUNCT
ejpam-6295	61	12	2025	2025	NUM
ejpam-6295	61	13	)	)	PUNCT
ejpam-6295	61	14	,	,	PUNCT
ejpam-6295	61	15	6295	6295	NUM
ejpam-6295	61	16	5	5	NUM
ejpam-6295	61	17	of	of	ADP
ejpam-6295	61	18	12	12	NUM
ejpam-6295	61	19	3	3	NUM
ejpam-6295	61	20	.	.	PUNCT
ejpam-6295	62	1	bayesian	bayesian	NOUN
ejpam-6295	62	2	estimation	estimation	NOUN
ejpam-6295	62	3	3.1	3.1	NUM
ejpam-6295	62	4	.	.	PUNCT
ejpam-6295	62	5	posterior	posterior	ADJ
ejpam-6295	62	6	distribution	distribution	NOUN
ejpam-6295	62	7	under	under	ADP
ejpam-6295	62	8	uniform	uniform	NOUN
ejpam-6295	62	9	prior	prior	ADP
ejpam-6295	62	10	the	the	DET
ejpam-6295	62	11	posterior	posterior	ADJ
ejpam-6295	62	12	distribution	distribution	NOUN
ejpam-6295	62	13	of	of	ADP
ejpam-6295	62	14	lpr	lpr	PROPN
ejpam-6295	62	15	under	under	ADP
ejpam-6295	62	16	a	a	DET
ejpam-6295	62	17	uniform	uniform	NOUN
ejpam-6295	62	18	prior	prior	ADV
ejpam-6295	62	19	is	be	AUX
ejpam-6295	62	20	defined	define	VERB
ejpam-6295	62	21	by	by	ADP
ejpam-6295	62	22	f(θ	f(θ	PROPN
ejpam-6295	62	23	/xi	/xi	PROPN
ejpam-6295	62	24	)	)	PUNCT
ejpam-6295	63	1	=	=	SYM
ejpam-6295	63	2	∏n	∏n	PROPN
ejpam-6295	63	3	i=0	i=0	ADJ
ejpam-6295	63	4	f(xi	f(xi	PROPN
ejpam-6295	63	5	/θ)g(θ)∫∞	/θ)g(θ)∫∞	SYM
ejpam-6295	63	6	0	0	NUM
ejpam-6295	63	7	∏n	∏n	PROPN
ejpam-6295	63	8	i=0	i=0	ADJ
ejpam-6295	63	9	f(xi	f(xi	PROPN
ejpam-6295	63	10	/θ)g(θ)dθ	/θ)g(θ)dθ	NOUN
ejpam-6295	63	11	(	(	PUNCT
ejpam-6295	63	12	3	3	NUM
ejpam-6295	63	13	)	)	PUNCT
ejpam-6295	63	14	where	where	SCONJ
ejpam-6295	63	15	g	g	PROPN
ejpam-6295	63	16	(	(	PUNCT
ejpam-6295	63	17	θ	θ	NOUN
ejpam-6295	63	18	)	)	PUNCT
ejpam-6295	63	19	∝	∝	NOUN
ejpam-6295	63	20	1	1	NUM
ejpam-6295	63	21	is	be	AUX
ejpam-6295	63	22	the	the	DET
ejpam-6295	63	23	prior	prior	ADJ
ejpam-6295	63	24	probability	probability	NOUN
ejpam-6295	63	25	function	function	NOUN
ejpam-6295	63	26	and	and	CCONJ
ejpam-6295	63	27	∏n	∏n	ADJ
ejpam-6295	63	28	i=0	i=0	PROPN
ejpam-6295	63	29	f	f	X
ejpam-6295	63	30	(	(	PUNCT
ejpam-6295	63	31	xi	xi	PROPN
ejpam-6295	63	32	/	/	SYM
ejpam-6295	63	33	θ	θ	NOUN
ejpam-6295	63	34	)	)	PUNCT
ejpam-6295	63	35	is	be	AUX
ejpam-6295	63	36	the	the	DET
ejpam-6295	63	37	mle	mle	NOUN
ejpam-6295	63	38	of	of	ADP
ejpam-6295	63	39	the	the	DET
ejpam-6295	63	40	lomax	lomax	PROPN
ejpam-6295	63	41	-	-	PUNCT
ejpam-6295	63	42	power	power	PROPN
ejpam-6295	63	43	rayleigh	rayleigh	PROPN
ejpam-6295	63	44	(	(	PUNCT
ejpam-6295	63	45	t	t	PROPN
ejpam-6295	63	46	-	-	PUNCT
ejpam-6295	63	47	x	x	NOUN
ejpam-6295	63	48	)	)	PUNCT
ejpam-6295	63	49	distribution	distribution	NOUN
ejpam-6295	63	50	.	.	PUNCT
ejpam-6295	64	1	using	use	VERB
ejpam-6295	64	2	eq	eq	NOUN
ejpam-6295	64	3	(	(	PUNCT
ejpam-6295	64	4	2	2	NUM
ejpam-6295	64	5	)	)	PUNCT
ejpam-6295	64	6	,	,	PUNCT
ejpam-6295	64	7	we	we	PRON
ejpam-6295	64	8	get	get	VERB
ejpam-6295	64	9	f	f	PROPN
ejpam-6295	64	10	(	(	PUNCT
ejpam-6295	64	11	θ	θ	NOUN
ejpam-6295	64	12	/xi	/xi	PROPN
ejpam-6295	64	13	)	)	PUNCT
ejpam-6295	65	1	=	=	PUNCT
ejpam-6295	65	2	c(n+1	c(n+1	NOUN
ejpam-6295	65	3	)	)	PUNCT
ejpam-6295	65	4	γ	γ	PROPN
ejpam-6295	65	5	(	(	PUNCT
ejpam-6295	65	6	n+	n+	NOUN
ejpam-6295	65	7	1	1	NUM
ejpam-6295	65	8	)	)	PUNCT
ejpam-6295	65	9	θne−θc	θne−θc	NOUN
ejpam-6295	65	10	.	.	PUNCT
ejpam-6295	66	1	this	this	PRON
ejpam-6295	66	2	indicates	indicate	VERB
ejpam-6295	66	3	that	that	SCONJ
ejpam-6295	66	4	f	f	PROPN
ejpam-6295	66	5	(	(	PUNCT
ejpam-6295	66	6	θ	θ	PROPN
ejpam-6295	66	7	/	/	SYM
ejpam-6295	66	8	xi	xi	PROPN
ejpam-6295	66	9	)	)	PUNCT
ejpam-6295	66	10	,	,	PUNCT
ejpam-6295	66	11	γ(n+1	γ(n+1	PROPN
ejpam-6295	66	12	,	,	PUNCT
ejpam-6295	66	13	c	c	NOUN
ejpam-6295	66	14	)	)	PUNCT
ejpam-6295	66	15	and	and	CCONJ
ejpam-6295	66	16	c=	c=	VERB
ejpam-6295	66	17	∑n	∑n	PROPN
ejpam-6295	66	18	i=0	i=0	PROPN
ejpam-6295	66	19	log	log	NOUN
ejpam-6295	66	20	(	(	PUNCT
ejpam-6295	66	21	1+λx2α	1+λx2α	NUM
ejpam-6295	66	22	2β2	2β2	NUM
ejpam-6295	66	23	)	)	PUNCT
ejpam-6295	66	24	.	.	PUNCT
ejpam-6295	67	1	3.2	3.2	NUM
ejpam-6295	67	2	.	.	PUNCT
ejpam-6295	67	3	posterior	posterior	ADJ
ejpam-6295	67	4	distribution	distribution	NOUN
ejpam-6295	67	5	under	under	ADP
ejpam-6295	67	6	jeffery	jeffery	PROPN
ejpam-6295	67	7	prior	prior	ADV
ejpam-6295	67	8	the	the	DET
ejpam-6295	67	9	posterior	posterior	ADJ
ejpam-6295	67	10	distribution	distribution	NOUN
ejpam-6295	67	11	of	of	ADP
ejpam-6295	67	12	lpr	lpr	PROPN
ejpam-6295	67	13	under	under	ADP
ejpam-6295	67	14	jeffery	jeffery	PROPN
ejpam-6295	67	15	prior	prior	ADV
ejpam-6295	67	16	is	be	AUX
ejpam-6295	67	17	defined	define	VERB
ejpam-6295	67	18	by	by	ADP
ejpam-6295	67	19	f(θ	f(θ	PROPN
ejpam-6295	67	20	/xi	/xi	PROPN
ejpam-6295	67	21	)	)	PUNCT
ejpam-6295	68	1	=	=	SYM
ejpam-6295	68	2	∏n	∏n	PROPN
ejpam-6295	68	3	i=0	i=0	ADJ
ejpam-6295	68	4	f(xi	f(xi	PROPN
ejpam-6295	68	5	/θ)g(θ)∫∞	/θ)g(θ)∫∞	SYM
ejpam-6295	68	6	0	0	NUM
ejpam-6295	68	7	∏n	∏n	PROPN
ejpam-6295	68	8	i=0	i=0	ADJ
ejpam-6295	68	9	f(xi	f(xi	PROPN
ejpam-6295	68	10	/θ)g(θ)dθ	/θ)g(θ)dθ	NOUN
ejpam-6295	68	11	(	(	PUNCT
ejpam-6295	68	12	4	4	NUM
ejpam-6295	68	13	)	)	PUNCT
ejpam-6295	68	14	where	where	SCONJ
ejpam-6295	68	15	g	g	PROPN
ejpam-6295	68	16	(	(	PUNCT
ejpam-6295	68	17	θ	θ	NOUN
ejpam-6295	68	18	)	)	PUNCT
ejpam-6295	68	19	=	=	SYM
ejpam-6295	68	20	e	e	X
ejpam-6295	68	21	[	[	PUNCT
ejpam-6295	68	22	∂2logl(xi	∂2logl(xi	X
ejpam-6295	68	23	,	,	PUNCT
ejpam-6295	68	24	θ	θ	PROPN
ejpam-6295	68	25	)	)	PUNCT
ejpam-6295	68	26	∂λ2	∂λ2	PROPN
ejpam-6295	68	27	]	]	PUNCT
ejpam-6295	69	1	=	=	SYM
ejpam-6295	69	2	1	1	NUM
ejpam-6295	69	3	θ	θ	NOUN
ejpam-6295	69	4	is	be	AUX
ejpam-6295	69	5	the	the	DET
ejpam-6295	69	6	jeffery	jeffery	PROPN
ejpam-6295	69	7	prior	prior	ADV
ejpam-6295	69	8	and	and	CCONJ
ejpam-6295	69	9	∏n	∏n	ADJ
ejpam-6295	69	10	i=0	i=0	ADJ
ejpam-6295	69	11	f(xi	f(xi	PROPN
ejpam-6295	69	12	/	/	SYM
ejpam-6295	69	13	θ	θ	NOUN
ejpam-6295	69	14	)	)	PUNCT
ejpam-6295	69	15	is	be	AUX
ejpam-6295	69	16	the	the	DET
ejpam-6295	69	17	mle	mle	NOUN
ejpam-6295	69	18	of	of	ADP
ejpam-6295	69	19	the	the	DET
ejpam-6295	69	20	lomax	lomax	PROPN
ejpam-6295	69	21	-	-	PUNCT
ejpam-6295	69	22	power	power	PROPN
ejpam-6295	69	23	rayleigh	rayleigh	PROPN
ejpam-6295	69	24	(	(	PUNCT
ejpam-6295	69	25	t	t	PROPN
ejpam-6295	69	26	-	-	PUNCT
ejpam-6295	69	27	x	x	NOUN
ejpam-6295	69	28	)	)	PUNCT
ejpam-6295	69	29	distribution	distribution	NOUN
ejpam-6295	69	30	.	.	PUNCT
ejpam-6295	70	1	using	use	VERB
ejpam-6295	70	2	eq	eq	NOUN
ejpam-6295	70	3	(	(	PUNCT
ejpam-6295	70	4	2	2	NUM
ejpam-6295	70	5	)	)	PUNCT
ejpam-6295	70	6	in	in	ADP
ejpam-6295	70	7	(	(	PUNCT
ejpam-6295	70	8	4	4	NUM
ejpam-6295	70	9	)	)	PUNCT
ejpam-6295	70	10	,	,	PUNCT
ejpam-6295	70	11	we	we	PRON
ejpam-6295	70	12	get	get	VERB
ejpam-6295	70	13	f	f	PROPN
ejpam-6295	70	14	(	(	PUNCT
ejpam-6295	70	15	xi	xi	PROPN
ejpam-6295	70	16	/	/	SYM
ejpam-6295	70	17	θ	θ	NOUN
ejpam-6295	70	18	)	)	PUNCT
ejpam-6295	70	19	=	=	SYM
ejpam-6295	71	1	c(n	c(n	NOUN
ejpam-6295	71	2	)	)	PUNCT
ejpam-6295	71	3	γn	γn	ADP
ejpam-6295	71	4	θn−1e−θc	θn−1e−θc	NOUN
ejpam-6295	71	5	this	this	PRON
ejpam-6295	71	6	indicates	indicate	VERB
ejpam-6295	71	7	that	that	SCONJ
ejpam-6295	71	8	f	f	PROPN
ejpam-6295	71	9	(	(	PUNCT
ejpam-6295	71	10	θ	θ	PROPN
ejpam-6295	71	11	/	/	SYM
ejpam-6295	71	12	xi	xi	PROPN
ejpam-6295	71	13	)	)	PUNCT
ejpam-6295	71	14	,	,	PUNCT
ejpam-6295	71	15	γ	γ	X
ejpam-6295	71	16	(	(	PUNCT
ejpam-6295	71	17	n+	n+	NUM
ejpam-6295	71	18	1	1	NUM
ejpam-6295	71	19	,	,	PUNCT
ejpam-6295	71	20	c	c	NOUN
ejpam-6295	71	21	)	)	PUNCT
ejpam-6295	71	22	and	and	CCONJ
ejpam-6295	71	23	c	c	X
ejpam-6295	72	1	=	=	SYM
ejpam-6295	72	2	∑n	∑n	PROPN
ejpam-6295	72	3	i=0	i=0	PROPN
ejpam-6295	72	4	log	log	NOUN
ejpam-6295	72	5	(	(	PUNCT
ejpam-6295	72	6	1	1	NUM
ejpam-6295	72	7	+	+	PROPN
ejpam-6295	72	8	λx2α	λx2α	PROPN
ejpam-6295	72	9	2β2	2β2	NUM
ejpam-6295	72	10	)	)	PUNCT
ejpam-6295	72	11	.	.	PUNCT
ejpam-6295	73	1	3.3	3.3	NUM
ejpam-6295	73	2	.	.	PUNCT
ejpam-6295	74	1	bayesian	bayesian	NOUN
ejpam-6295	74	2	estimates	estimate	NOUN
ejpam-6295	74	3	under	under	ADP
ejpam-6295	74	4	uniform	uniform	NOUN
ejpam-6295	74	5	prior	prior	ADV
ejpam-6295	74	6	in	in	ADP
ejpam-6295	74	7	this	this	DET
ejpam-6295	74	8	section	section	NOUN
ejpam-6295	74	9	,	,	PUNCT
ejpam-6295	74	10	bayesian	bayesian	NOUN
ejpam-6295	74	11	estimates	estimate	NOUN
ejpam-6295	74	12	are	be	AUX
ejpam-6295	74	13	derived	derive	VERB
ejpam-6295	74	14	under	under	ADP
ejpam-6295	74	15	four	four	NUM
ejpam-6295	74	16	loss	loss	NOUN
ejpam-6295	74	17	functions	function	NOUN
ejpam-6295	74	18	by	by	ADP
ejpam-6295	74	19	using	use	VERB
ejpam-6295	74	20	a	a	DET
ejpam-6295	74	21	unifor	unifor	PROPN
ejpam-6295	74	22	prior	prior	ADJ
ejpam-6295	74	23	3.3.1	3.3.1	NUM
ejpam-6295	74	24	.	.	PUNCT
ejpam-6295	75	1	bayesian	bayesian	NOUN
ejpam-6295	75	2	estimates	estimate	NOUN
ejpam-6295	75	3	under	under	ADP
ejpam-6295	75	4	squared	square	VERB
ejpam-6295	75	5	error	error	NOUN
ejpam-6295	75	6	loss	loss	NOUN
ejpam-6295	75	7	function	function	NOUN
ejpam-6295	75	8	(	(	PUNCT
ejpam-6295	75	9	self	self	NOUN
ejpam-6295	75	10	)	)	PUNCT
ejpam-6295	75	11	the	the	DET
ejpam-6295	75	12	self	self	NOUN
ejpam-6295	75	13	is	be	AUX
ejpam-6295	75	14	defined	define	VERB
ejpam-6295	75	15	by	by	ADP
ejpam-6295	75	16	θ̂self	θ̂self	X
ejpam-6295	75	17	=	=	SYM
ejpam-6295	75	18	(	(	PUNCT
ejpam-6295	75	19	θ̂−θ	θ̂−θ	NOUN
ejpam-6295	75	20	)	)	PUNCT
ejpam-6295	75	21	2	2	NUM
ejpam-6295	75	22	the	the	DET
ejpam-6295	75	23	above	above	ADJ
ejpam-6295	75	24	expression	expression	NOUN
ejpam-6295	75	25	yields	yield	NOUN
ejpam-6295	75	26	θ̂	θ̂	PUNCT
ejpam-6295	75	27	∫	∫	PROPN
ejpam-6295	75	28	c(n+1	c(n+1	PROPN
ejpam-6295	75	29	)	)	PUNCT
ejpam-6295	75	30	γ	γ	PROPN
ejpam-6295	75	31	(	(	PUNCT
ejpam-6295	75	32	n+	n+	NOUN
ejpam-6295	75	33	1	1	NUM
ejpam-6295	75	34	)	)	PUNCT
ejpam-6295	75	35	θne−θcdθ−	θne−θcdθ−	NOUN
ejpam-6295	75	36	∫	∫	X
ejpam-6295	75	37	θ	θ	X
ejpam-6295	75	38	c(n+1	c(n+1	NOUN
ejpam-6295	75	39	)	)	PUNCT
ejpam-6295	75	40	γ	γ	PROPN
ejpam-6295	75	41	(	(	PUNCT
ejpam-6295	75	42	n+	n+	NOUN
ejpam-6295	75	43	1	1	NUM
ejpam-6295	75	44	)	)	PUNCT
ejpam-6295	75	45	θne−θcdλ=	θne−θcdλ=	ADP
ejpam-6295	75	46	0	0	NUM
ejpam-6295	75	47	.	.	PUNCT
ejpam-6295	76	1	the	the	DET
ejpam-6295	76	2	result	result	NOUN
ejpam-6295	76	3	for	for	ADP
ejpam-6295	76	4	θ	θ	PROPN
ejpam-6295	76	5	is	be	AUX
ejpam-6295	76	6	given	give	VERB
ejpam-6295	76	7	below	below	ADP
ejpam-6295	76	8	θ̂self	θ̂self	PRON
ejpam-6295	76	9	=	=	SYM
ejpam-6295	76	10	(	(	PUNCT
ejpam-6295	76	11	n+	n+	NOUN
ejpam-6295	76	12	1	1	NUM
ejpam-6295	76	13	)	)	PUNCT
ejpam-6295	76	14	c	c	NOUN
ejpam-6295	76	15	(	(	PUNCT
ejpam-6295	76	16	5	5	NUM
ejpam-6295	76	17	)	)	PUNCT
ejpam-6295	76	18	muhammad	muhammad	PROPN
ejpam-6295	76	19	ijaz	ijaz	PROPN
ejpam-6295	76	20	et	et	PROPN
ejpam-6295	76	21	al	al	PROPN
ejpam-6295	76	22	.	.	PUNCT
ejpam-6295	76	23	/	/	SYM
ejpam-6295	76	24	eur	eur	PROPN
ejpam-6295	76	25	.	.	PUNCT
ejpam-6295	77	1	j.	j.	PROPN
ejpam-6295	77	2	pure	pure	PROPN
ejpam-6295	77	3	appl	appl	PROPN
ejpam-6295	77	4	.	.	PROPN
ejpam-6295	77	5	math	math	PROPN
ejpam-6295	77	6	,	,	PUNCT
ejpam-6295	77	7	18	18	NUM
ejpam-6295	77	8	(	(	PUNCT
ejpam-6295	77	9	3	3	NUM
ejpam-6295	77	10	)	)	PUNCT
ejpam-6295	77	11	(	(	PUNCT
ejpam-6295	77	12	2025	2025	NUM
ejpam-6295	77	13	)	)	PUNCT
ejpam-6295	77	14	,	,	PUNCT
ejpam-6295	77	15	6295	6295	NUM
ejpam-6295	77	16	6	6	NUM
ejpam-6295	77	17	of	of	ADP
ejpam-6295	77	18	12	12	NUM
ejpam-6295	77	19	3.3.2	3.3.2	NUM
ejpam-6295	77	20	.	.	PUNCT
ejpam-6295	78	1	bayesian	bayesian	NOUN
ejpam-6295	78	2	estimates	estimate	NOUN
ejpam-6295	78	3	under	under	ADP
ejpam-6295	78	4	quadratic	quadratic	ADJ
ejpam-6295	78	5	error	error	NOUN
ejpam-6295	78	6	loss	loss	NOUN
ejpam-6295	78	7	function	function	NOUN
ejpam-6295	78	8	(	(	PUNCT
ejpam-6295	78	9	qelf	qelf	PRON
ejpam-6295	78	10	)	)	PUNCT
ejpam-6295	78	11	the	the	DET
ejpam-6295	78	12	qelf	qelf	NOUN
ejpam-6295	78	13	is	be	AUX
ejpam-6295	78	14	defined	define	VERB
ejpam-6295	78	15	by	by	ADP
ejpam-6295	78	16	θ̂qelf	θ̂qelf	PRON
ejpam-6295	78	17	=	=	SYM
ejpam-6295	78	18	(	(	PUNCT
ejpam-6295	78	19	θ̂	θ̂	X
ejpam-6295	78	20	−	−	PROPN
ejpam-6295	78	21	θ	θ	PROPN
ejpam-6295	78	22	θ	θ	PROPN
ejpam-6295	78	23	)	)	PUNCT
ejpam-6295	78	24	2	2	NUM
ejpam-6295	78	25	simplifying	simplify	VERB
ejpam-6295	78	26	the	the	DET
ejpam-6295	78	27	above	above	ADJ
ejpam-6295	78	28	equation	equation	NOUN
ejpam-6295	78	29	for	for	ADP
ejpam-6295	78	30	θ	θ	PROPN
ejpam-6295	78	31	,	,	PUNCT
ejpam-6295	78	32	we	we	PRON
ejpam-6295	78	33	get	get	AUX
ejpam-6295	78	34	θ̂	θ̂	PUNCT
ejpam-6295	78	35	∫	∫	PROPN
ejpam-6295	78	36	1	1	NUM
ejpam-6295	78	37	θ2	θ2	ADP
ejpam-6295	78	38	c(n+1	c(n+1	PROPN
ejpam-6295	78	39	)	)	PUNCT
ejpam-6295	78	40	γ	γ	PROPN
ejpam-6295	78	41	(	(	PUNCT
ejpam-6295	78	42	n+	n+	NOUN
ejpam-6295	78	43	1	1	NUM
ejpam-6295	78	44	)	)	PUNCT
ejpam-6295	78	45	θne−θcdθ−	θne−θcdθ−	NOUN
ejpam-6295	78	46	∫	∫	PROPN
ejpam-6295	78	47	1	1	NUM
ejpam-6295	78	48	θ	θ	PROPN
ejpam-6295	78	49	c(n+1	c(n+1	NOUN
ejpam-6295	78	50	)	)	PUNCT
ejpam-6295	78	51	γ	γ	PROPN
ejpam-6295	78	52	(	(	PUNCT
ejpam-6295	78	53	n+	n+	NOUN
ejpam-6295	78	54	1	1	X
ejpam-6295	78	55	)	)	PUNCT
ejpam-6295	78	56	θne−θcdθ=	θne−θcdθ=	X
ejpam-6295	78	57	0	0	NUM
ejpam-6295	78	58	simplifying	simplify	VERB
ejpam-6295	78	59	the	the	DET
ejpam-6295	78	60	above	above	ADJ
ejpam-6295	78	61	expression	expression	NOUN
ejpam-6295	78	62	,	,	PUNCT
ejpam-6295	78	63	we	we	PRON
ejpam-6295	78	64	get	get	VERB
ejpam-6295	78	65	θ̂qelf	θ̂qelf	PRON
ejpam-6295	78	66	=	=	SYM
ejpam-6295	78	67	(	(	PUNCT
ejpam-6295	78	68	n−	n−	NOUN
ejpam-6295	78	69	1	1	NUM
ejpam-6295	78	70	)	)	PUNCT
ejpam-6295	78	71	c	c	NOUN
ejpam-6295	78	72	(	(	PUNCT
ejpam-6295	78	73	6	6	NUM
ejpam-6295	78	74	)	)	PUNCT
ejpam-6295	78	75	3.3.3	3.3.3	NUM
ejpam-6295	78	76	.	.	PUNCT
ejpam-6295	79	1	bayesian	bayesian	NOUN
ejpam-6295	79	2	estimates	estimate	NOUN
ejpam-6295	79	3	under	under	ADP
ejpam-6295	79	4	weighted	weight	VERB
ejpam-6295	79	5	error	error	NOUN
ejpam-6295	79	6	loss	loss	NOUN
ejpam-6295	79	7	function	function	NOUN
ejpam-6295	79	8	(	(	PUNCT
ejpam-6295	79	9	welf	welf	X
ejpam-6295	79	10	)	)	PUNCT
ejpam-6295	79	11	the	the	DET
ejpam-6295	79	12	welf	welf	NOUN
ejpam-6295	79	13	is	be	AUX
ejpam-6295	79	14	given	give	VERB
ejpam-6295	79	15	by	by	ADP
ejpam-6295	79	16	θ̂welf	θ̂welf	PRON
ejpam-6295	79	17	=	=	PUNCT
ejpam-6295	79	18	(	(	PUNCT
ejpam-6295	79	19	θ̂	θ̂	X
ejpam-6295	79	20	−	−	PROPN
ejpam-6295	79	21	θ	θ	NOUN
ejpam-6295	79	22	)	)	PUNCT
ejpam-6295	79	23	2	2	NUM
ejpam-6295	79	24	θ	θ	NOUN
ejpam-6295	79	25	simplifying	simplify	VERB
ejpam-6295	79	26	the	the	DET
ejpam-6295	79	27	above	above	ADJ
ejpam-6295	79	28	equation	equation	NOUN
ejpam-6295	79	29	for	for	ADP
ejpam-6295	79	30	θ	θ	PROPN
ejpam-6295	79	31	,	,	PUNCT
ejpam-6295	79	32	we	we	PRON
ejpam-6295	79	33	get	get	AUX
ejpam-6295	79	34	θ̂	θ̂	PUNCT
ejpam-6295	79	35	∫	∫	PROPN
ejpam-6295	79	36	1	1	NUM
ejpam-6295	79	37	θ	θ	PROPN
ejpam-6295	79	38	c(n+1	c(n+1	NOUN
ejpam-6295	79	39	)	)	PUNCT
ejpam-6295	79	40	γ	γ	PROPN
ejpam-6295	79	41	(	(	PUNCT
ejpam-6295	79	42	n+	n+	NUM
ejpam-6295	79	43	1	1	NUM
ejpam-6295	79	44	)	)	PUNCT
ejpam-6295	79	45	θne−θcdλ−	θne−θcdλ−	NOUN
ejpam-6295	79	46	∫	∫	PROPN
ejpam-6295	79	47	c(n+1	c(n+1	PROPN
ejpam-6295	79	48	)	)	PUNCT
ejpam-6295	79	49	γ	γ	PROPN
ejpam-6295	79	50	(	(	PUNCT
ejpam-6295	79	51	n+	n+	NOUN
ejpam-6295	79	52	1	1	NUM
ejpam-6295	79	53	)	)	PUNCT
ejpam-6295	79	54	θne−θcdλ	θne−θcdλ	X
ejpam-6295	80	1	=	=	SYM
ejpam-6295	80	2	0	0	NUM
ejpam-6295	80	3	simplifying	simplify	VERB
ejpam-6295	80	4	the	the	DET
ejpam-6295	80	5	above	above	ADJ
ejpam-6295	80	6	expression	expression	NOUN
ejpam-6295	80	7	,	,	PUNCT
ejpam-6295	80	8	we	we	PRON
ejpam-6295	80	9	get	get	VERB
ejpam-6295	80	10	θ̂welf	θ̂welf	PRON
ejpam-6295	80	11	=	=	PUNCT
ejpam-6295	80	12	n	n	DET
ejpam-6295	80	13	c	c	NOUN
ejpam-6295	80	14	.	.	PUNCT
ejpam-6295	81	1	(	(	PUNCT
ejpam-6295	81	2	7	7	X
ejpam-6295	81	3	)	)	PUNCT
ejpam-6295	81	4	3.3.4	3.3.4	NUM
ejpam-6295	81	5	.	.	PUNCT
ejpam-6295	82	1	bayesian	bayesian	NOUN
ejpam-6295	82	2	estimates	estimate	NOUN
ejpam-6295	82	3	under	under	ADP
ejpam-6295	82	4	precautionary	precautionary	ADJ
ejpam-6295	82	5	error	error	NOUN
ejpam-6295	82	6	loss	loss	NOUN
ejpam-6295	82	7	function	function	NOUN
ejpam-6295	82	8	(	(	PUNCT
ejpam-6295	82	9	pelf	pelf	X
ejpam-6295	82	10	)	)	PUNCT
ejpam-6295	82	11	the	the	DET
ejpam-6295	82	12	pelf	pelf	PRON
ejpam-6295	83	1	[	[	X
ejpam-6295	83	2	13	13	NUM
ejpam-6295	83	3	]	]	PUNCT
ejpam-6295	83	4	can	can	AUX
ejpam-6295	83	5	be	be	AUX
ejpam-6295	83	6	defined	define	VERB
ejpam-6295	83	7	as	as	ADP
ejpam-6295	83	8	θ̂pelf	θ̂pelf	PRON
ejpam-6295	83	9	=	=	PUNCT
ejpam-6295	83	10	(	(	PUNCT
ejpam-6295	83	11	θ̂	θ̂	X
ejpam-6295	83	12	−	−	PROPN
ejpam-6295	83	13	θ	θ	NOUN
ejpam-6295	83	14	)	)	PUNCT
ejpam-6295	83	15	2	2	NUM
ejpam-6295	83	16	θ̂	θ̂	VERB
ejpam-6295	83	17	simplifying	simplify	VERB
ejpam-6295	83	18	further	far	ADV
ejpam-6295	83	19	the	the	DET
ejpam-6295	83	20	above	above	ADJ
ejpam-6295	83	21	equation	equation	NOUN
ejpam-6295	83	22	for	for	ADP
ejpam-6295	83	23	λ	λ	PROPN
ejpam-6295	83	24	θ̂	θ̂	X
ejpam-6295	83	25	∫	∫	PROPN
ejpam-6295	83	26	c(n+1	c(n+1	PROPN
ejpam-6295	83	27	)	)	PUNCT
ejpam-6295	83	28	γ	γ	PROPN
ejpam-6295	83	29	(	(	PUNCT
ejpam-6295	83	30	n+	n+	NOUN
ejpam-6295	83	31	1	1	NUM
ejpam-6295	83	32	)	)	PUNCT
ejpam-6295	83	33	θne−θcdθ	θne−θcdθ	VERB
ejpam-6295	84	1	−	−	ADP
ejpam-6295	84	2	1	1	NUM
ejpam-6295	84	3	θ̂2	θ̂2	NOUN
ejpam-6295	84	4	∫	∫	PROPN
ejpam-6295	84	5	θ2	θ2	PROPN
ejpam-6295	84	6	c(n+1	c(n+1	PROPN
ejpam-6295	84	7	)	)	PUNCT
ejpam-6295	85	1	γ	γ	PROPN
ejpam-6295	85	2	(	(	PUNCT
ejpam-6295	85	3	n+	n+	NOUN
ejpam-6295	85	4	1	1	NUM
ejpam-6295	85	5	)	)	PUNCT
ejpam-6295	85	6	θne−θcdθ	θne−θcdθ	PUNCT
ejpam-6295	86	1	=	=	SYM
ejpam-6295	86	2	0	0	PUNCT
ejpam-6295	87	1	hence	hence	ADV
ejpam-6295	87	2	,	,	PUNCT
ejpam-6295	87	3	we	we	PRON
ejpam-6295	87	4	obtained	obtain	VERB
ejpam-6295	87	5	the	the	DET
ejpam-6295	87	6	following	following	ADJ
ejpam-6295	87	7	expression	expression	NOUN
ejpam-6295	87	8	θ̂pelf	θ̂pelf	PRON
ejpam-6295	87	9	=	=	SYM
ejpam-6295	87	10	√	√	NUM
ejpam-6295	87	11	{	{	PUNCT
ejpam-6295	87	12	(	(	PUNCT
ejpam-6295	87	13	n+	n+	NOUN
ejpam-6295	87	14	1	1	NUM
ejpam-6295	87	15	)	)	PUNCT
ejpam-6295	87	16	(	(	PUNCT
ejpam-6295	87	17	n+	n+	X
ejpam-6295	87	18	2	2	NUM
ejpam-6295	87	19	)	)	PUNCT
ejpam-6295	87	20	}	}	PUNCT
ejpam-6295	87	21	c	c	NOUN
ejpam-6295	87	22	.	.	PUNCT
ejpam-6295	88	1	(	(	PUNCT
ejpam-6295	88	2	8)	8)	NUM
ejpam-6295	88	3	muhammad	muhammad	PROPN
ejpam-6295	88	4	ijaz	ijaz	PROPN
ejpam-6295	88	5	et	et	PROPN
ejpam-6295	88	6	al	al	PROPN
ejpam-6295	88	7	.	.	PUNCT
ejpam-6295	88	8	/	/	SYM
ejpam-6295	88	9	eur	eur	PROPN
ejpam-6295	88	10	.	.	PUNCT
ejpam-6295	89	1	j.	j.	PROPN
ejpam-6295	89	2	pure	pure	PROPN
ejpam-6295	89	3	appl	appl	PROPN
ejpam-6295	89	4	.	.	PROPN
ejpam-6295	89	5	math	math	PROPN
ejpam-6295	89	6	,	,	PUNCT
ejpam-6295	89	7	18	18	NUM
ejpam-6295	89	8	(	(	PUNCT
ejpam-6295	89	9	3	3	NUM
ejpam-6295	89	10	)	)	PUNCT
ejpam-6295	89	11	(	(	PUNCT
ejpam-6295	89	12	2025	2025	NUM
ejpam-6295	89	13	)	)	PUNCT
ejpam-6295	89	14	,	,	PUNCT
ejpam-6295	89	15	6295	6295	NUM
ejpam-6295	89	16	7	7	NUM
ejpam-6295	89	17	of	of	ADP
ejpam-6295	89	18	12	12	NUM
ejpam-6295	89	19	3.4	3.4	NUM
ejpam-6295	89	20	.	.	PUNCT
ejpam-6295	90	1	bayesian	bayesian	NOUN
ejpam-6295	90	2	estimates	estimate	NOUN
ejpam-6295	90	3	under	under	ADP
ejpam-6295	90	4	jeffery	jeffery	PROPN
ejpam-6295	90	5	prior	prior	ADV
ejpam-6295	90	6	this	this	DET
ejpam-6295	90	7	section	section	NOUN
ejpam-6295	90	8	elloborates	elloborate	VERB
ejpam-6295	90	9	bayesian	bayesian	NOUN
ejpam-6295	90	10	estimates	estimate	NOUN
ejpam-6295	90	11	under	under	ADP
ejpam-6295	90	12	jeffery	jeffery	PROPN
ejpam-6295	90	13	priors	prior	NOUN
ejpam-6295	90	14	by	by	ADP
ejpam-6295	90	15	using	use	VERB
ejpam-6295	90	16	four	four	NUM
ejpam-6295	90	17	loss	loss	NOUN
ejpam-6295	90	18	functions	function	NOUN
ejpam-6295	90	19	.	.	PUNCT
ejpam-6295	91	1	3.4.1	3.4.1	X
ejpam-6295	91	2	.	.	X
ejpam-6295	91	3	bayesian	bayesian	NOUN
ejpam-6295	91	4	estimates	estimate	NOUN
ejpam-6295	91	5	under	under	ADP
ejpam-6295	91	6	squared	square	VERB
ejpam-6295	91	7	error	error	NOUN
ejpam-6295	91	8	loss	loss	NOUN
ejpam-6295	91	9	function	function	NOUN
ejpam-6295	91	10	(	(	PUNCT
ejpam-6295	91	11	self	self	NOUN
ejpam-6295	91	12	)	)	PUNCT
ejpam-6295	91	13	the	the	DET
ejpam-6295	91	14	self	self	NOUN
ejpam-6295	91	15	is	be	AUX
ejpam-6295	91	16	defined	define	VERB
ejpam-6295	91	17	by	by	ADP
ejpam-6295	91	18	θ̂self	θ̂self	X
ejpam-6295	91	19	=	=	PUNCT
ejpam-6295	91	20	(	(	PUNCT
ejpam-6295	91	21	θ̂	θ̂	X
ejpam-6295	91	22	−	−	PROPN
ejpam-6295	91	23	θ	θ	NOUN
ejpam-6295	91	24	)	)	PUNCT
ejpam-6295	91	25	2	2	NUM
ejpam-6295	91	26	the	the	DET
ejpam-6295	91	27	above	above	ADJ
ejpam-6295	91	28	expression	expression	NOUN
ejpam-6295	91	29	produced	produce	VERB
ejpam-6295	91	30	θ̂	θ̂	X
ejpam-6295	91	31	∫	∫	PROPN
ejpam-6295	91	32	c(n	c(n	PROPN
ejpam-6295	91	33	)	)	PUNCT
ejpam-6295	91	34	γ	γ	PROPN
ejpam-6295	91	35	(	(	PUNCT
ejpam-6295	91	36	n	n	CCONJ
ejpam-6295	91	37	)	)	PUNCT
ejpam-6295	91	38	θ(n−1)e−θcdθ	θ(n−1)e−θcdθ	NOUN
ejpam-6295	92	1	−	−	PROPN
ejpam-6295	93	1	∫	∫	PROPN
ejpam-6295	93	2	θ	θ	PROPN
ejpam-6295	93	3	c(n	c(n	PROPN
ejpam-6295	93	4	)	)	PUNCT
ejpam-6295	93	5	γ	γ	PROPN
ejpam-6295	93	6	(	(	PUNCT
ejpam-6295	93	7	n	n	CCONJ
ejpam-6295	93	8	)	)	PUNCT
ejpam-6295	93	9	θ(n−1)e−θcdθ	θ(n−1)e−θcdθ	PUNCT
ejpam-6295	93	10	=	=	SYM
ejpam-6295	93	11	0	0	NUM
ejpam-6295	94	1	we	we	PRON
ejpam-6295	94	2	obtained	obtain	VERB
ejpam-6295	94	3	the	the	DET
ejpam-6295	94	4	following	following	ADJ
ejpam-6295	94	5	result	result	NOUN
ejpam-6295	94	6	θ̂self	θ̂self	PRON
ejpam-6295	94	7	=	=	SYM
ejpam-6295	94	8	n	n	PRON
ejpam-6295	94	9	c	c	NOUN
ejpam-6295	94	10	(	(	PUNCT
ejpam-6295	94	11	9	9	NUM
ejpam-6295	94	12	)	)	PUNCT
ejpam-6295	94	13	3.4.2	3.4.2	NUM
ejpam-6295	94	14	.	.	PUNCT
ejpam-6295	95	1	bayesian	bayesian	NOUN
ejpam-6295	95	2	estimates	estimate	NOUN
ejpam-6295	95	3	under	under	ADP
ejpam-6295	95	4	quadratic	quadratic	ADJ
ejpam-6295	95	5	error	error	NOUN
ejpam-6295	95	6	loss	loss	NOUN
ejpam-6295	95	7	function	function	NOUN
ejpam-6295	95	8	(	(	PUNCT
ejpam-6295	95	9	qelf	qelf	PRON
ejpam-6295	95	10	)	)	PUNCT
ejpam-6295	95	11	the	the	DET
ejpam-6295	95	12	qelf	qelf	NOUN
ejpam-6295	95	13	is	be	AUX
ejpam-6295	95	14	given	give	VERB
ejpam-6295	95	15	by	by	ADP
ejpam-6295	95	16	θ̂qelf	θ̂qelf	PRON
ejpam-6295	95	17	=	=	SYM
ejpam-6295	95	18	(	(	PUNCT
ejpam-6295	95	19	θ̂	θ̂	X
ejpam-6295	95	20	−	−	PROPN
ejpam-6295	95	21	θ	θ	PROPN
ejpam-6295	95	22	θ	θ	PROPN
ejpam-6295	95	23	)	)	PUNCT
ejpam-6295	95	24	2	2	NUM
ejpam-6295	95	25	after	after	ADP
ejpam-6295	95	26	simplification	simplification	NOUN
ejpam-6295	95	27	,	,	PUNCT
ejpam-6295	95	28	the	the	DET
ejpam-6295	95	29	following	follow	VERB
ejpam-6295	95	30	expression	expression	NOUN
ejpam-6295	95	31	is	be	AUX
ejpam-6295	95	32	obtained	obtain	VERB
ejpam-6295	95	33	θ̂	θ̂	VERB
ejpam-6295	95	34	∫	∫	PROPN
ejpam-6295	95	35	1	1	NUM
ejpam-6295	95	36	θ2	θ2	PROPN
ejpam-6295	95	37	c(n	c(n	PROPN
ejpam-6295	95	38	)	)	PUNCT
ejpam-6295	95	39	γ	γ	PROPN
ejpam-6295	95	40	(	(	PUNCT
ejpam-6295	95	41	n	n	CCONJ
ejpam-6295	95	42	)	)	PUNCT
ejpam-6295	95	43	θ(n−1)e−θcdθ	θ(n−1)e−θcdθ	VERB
ejpam-6295	95	44	−	−	PROPN
ejpam-6295	96	1	∫	∫	PROPN
ejpam-6295	96	2	1	1	NUM
ejpam-6295	96	3	θ	θ	PROPN
ejpam-6295	96	4	c(n	c(n	PROPN
ejpam-6295	96	5	)	)	PUNCT
ejpam-6295	96	6	γ	γ	PROPN
ejpam-6295	96	7	(	(	PUNCT
ejpam-6295	96	8	n	n	CCONJ
ejpam-6295	96	9	)	)	PUNCT
ejpam-6295	96	10	θ(n−1)e−θcdθ	θ(n−1)e−θcdθ	PUNCT
ejpam-6295	96	11	=	=	SYM
ejpam-6295	96	12	0	0	PUNCT
ejpam-6295	97	1	finally	finally	ADV
ejpam-6295	97	2	,	,	PUNCT
ejpam-6295	97	3	we	we	PRON
ejpam-6295	97	4	obtainedthe	obtainedthe	VERB
ejpam-6295	97	5	result	result	VERB
ejpam-6295	97	6	θ̂qelf	θ̂qelf	PRON
ejpam-6295	97	7	=	=	SYM
ejpam-6295	97	8	(	(	PUNCT
ejpam-6295	97	9	n−	n−	NOUN
ejpam-6295	97	10	2	2	NUM
ejpam-6295	97	11	)	)	PUNCT
ejpam-6295	97	12	c	c	NOUN
ejpam-6295	97	13	.	.	PUNCT
ejpam-6295	98	1	(	(	PUNCT
ejpam-6295	98	2	10	10	NUM
ejpam-6295	98	3	)	)	PUNCT
ejpam-6295	98	4	3.4.3	3.4.3	X
ejpam-6295	98	5	.	.	PUNCT
ejpam-6295	99	1	bayesian	bayesian	NOUN
ejpam-6295	99	2	estimates	estimate	NOUN
ejpam-6295	99	3	under	under	ADP
ejpam-6295	99	4	weighted	weight	VERB
ejpam-6295	99	5	error	error	NOUN
ejpam-6295	99	6	loss	loss	NOUN
ejpam-6295	99	7	function	function	NOUN
ejpam-6295	99	8	(	(	PUNCT
ejpam-6295	99	9	welf	welf	X
ejpam-6295	99	10	)	)	PUNCT
ejpam-6295	99	11	the	the	DET
ejpam-6295	99	12	welf	welf	NOUN
ejpam-6295	99	13	can	can	AUX
ejpam-6295	99	14	be	be	AUX
ejpam-6295	99	15	explained	explain	VERB
ejpam-6295	99	16	by	by	ADP
ejpam-6295	99	17	θ̂welf	θ̂welf	PRON
ejpam-6295	99	18	=	=	PUNCT
ejpam-6295	99	19	(	(	PUNCT
ejpam-6295	99	20	θ̂	θ̂	X
ejpam-6295	99	21	−	−	PROPN
ejpam-6295	99	22	θ	θ	NOUN
ejpam-6295	99	23	)	)	PUNCT
ejpam-6295	99	24	2	2	NUM
ejpam-6295	99	25	θ	θ	NOUN
ejpam-6295	99	26	simplifying	simplify	VERB
ejpam-6295	99	27	the	the	DET
ejpam-6295	99	28	above	above	ADJ
ejpam-6295	99	29	equation	equation	NOUN
ejpam-6295	99	30	,	,	PUNCT
ejpam-6295	99	31	we	we	PRON
ejpam-6295	99	32	get	get	AUX
ejpam-6295	99	33	θ̂	θ̂	PUNCT
ejpam-6295	99	34	∫	∫	PROPN
ejpam-6295	99	35	1	1	NUM
ejpam-6295	99	36	θ	θ	PROPN
ejpam-6295	99	37	c(n	c(n	PROPN
ejpam-6295	99	38	)	)	PUNCT
ejpam-6295	99	39	γ	γ	PROPN
ejpam-6295	99	40	(	(	PUNCT
ejpam-6295	99	41	n	n	CCONJ
ejpam-6295	99	42	)	)	PUNCT
ejpam-6295	99	43	θ(n−1)e−θcdθ	θ(n−1)e−θcdθ	VERB
ejpam-6295	100	1	−	−	PROPN
ejpam-6295	100	2	∫	∫	PROPN
ejpam-6295	100	3	c(n	c(n	PROPN
ejpam-6295	100	4	)	)	PUNCT
ejpam-6295	100	5	γ	γ	PROPN
ejpam-6295	100	6	(	(	PUNCT
ejpam-6295	100	7	n	n	CCONJ
ejpam-6295	100	8	)	)	PUNCT
ejpam-6295	100	9	θ(n−1)e−θcdλ	θ(n−1)e−θcdλ	NOUN
ejpam-6295	100	10	=	=	PUNCT
ejpam-6295	100	11	0	0	PUNCT
ejpam-6295	101	1	lastly	lastly	ADV
ejpam-6295	101	2	,	,	PUNCT
ejpam-6295	101	3	we	we	PRON
ejpam-6295	101	4	obtained	obtain	VERB
ejpam-6295	101	5	the	the	DET
ejpam-6295	101	6	following	follow	VERB
ejpam-6295	101	7	result	result	VERB
ejpam-6295	101	8	θ̂welf	θ̂welf	PRON
ejpam-6295	101	9	=	=	SYM
ejpam-6295	101	10	n	n	DET
ejpam-6295	101	11	c	c	NOUN
ejpam-6295	101	12	.	.	PUNCT
ejpam-6295	102	1	(	(	PUNCT
ejpam-6295	102	2	11	11	NUM
ejpam-6295	102	3	)	)	PUNCT
ejpam-6295	102	4	muhammad	muhammad	PROPN
ejpam-6295	102	5	ijaz	ijaz	PROPN
ejpam-6295	102	6	et	et	PROPN
ejpam-6295	102	7	al	al	PROPN
ejpam-6295	102	8	.	.	PUNCT
ejpam-6295	102	9	/	/	SYM
ejpam-6295	102	10	eur	eur	PROPN
ejpam-6295	102	11	.	.	PUNCT
ejpam-6295	103	1	j.	j.	PROPN
ejpam-6295	103	2	pure	pure	PROPN
ejpam-6295	103	3	appl	appl	PROPN
ejpam-6295	103	4	.	.	PROPN
ejpam-6295	103	5	math	math	PROPN
ejpam-6295	103	6	,	,	PUNCT
ejpam-6295	103	7	18	18	NUM
ejpam-6295	103	8	(	(	PUNCT
ejpam-6295	103	9	3	3	NUM
ejpam-6295	103	10	)	)	PUNCT
ejpam-6295	103	11	(	(	PUNCT
ejpam-6295	103	12	2025	2025	NUM
ejpam-6295	103	13	)	)	PUNCT
ejpam-6295	103	14	,	,	PUNCT
ejpam-6295	103	15	6295	6295	NUM
ejpam-6295	103	16	8	8	NUM
ejpam-6295	103	17	of	of	ADP
ejpam-6295	103	18	12	12	NUM
ejpam-6295	103	19	3.4.4	3.4.4	NUM
ejpam-6295	103	20	.	.	PUNCT
ejpam-6295	104	1	bayesian	bayesian	NOUN
ejpam-6295	104	2	estimates	estimate	NOUN
ejpam-6295	104	3	under	under	ADP
ejpam-6295	104	4	precautionary	precautionary	ADJ
ejpam-6295	104	5	error	error	NOUN
ejpam-6295	104	6	loss	loss	NOUN
ejpam-6295	104	7	function	function	NOUN
ejpam-6295	104	8	(	(	PUNCT
ejpam-6295	104	9	pelf	pelf	X
ejpam-6295	104	10	)	)	PUNCT
ejpam-6295	104	11	the	the	DET
ejpam-6295	104	12	pelf	pelf	PRON
ejpam-6295	105	1	[	[	X
ejpam-6295	105	2	13	13	NUM
ejpam-6295	105	3	]	]	PUNCT
ejpam-6295	105	4	is	be	AUX
ejpam-6295	105	5	defined	define	VERB
ejpam-6295	105	6	by	by	ADP
ejpam-6295	105	7	θ̂pelf	θ̂pelf	NOUN
ejpam-6295	105	8	=	=	PUNCT
ejpam-6295	105	9	(	(	PUNCT
ejpam-6295	105	10	θ̂	θ̂	X
ejpam-6295	105	11	−	−	PROPN
ejpam-6295	105	12	θ	θ	NOUN
ejpam-6295	105	13	)	)	PUNCT
ejpam-6295	105	14	2	2	NUM
ejpam-6295	105	15	θ̂	θ̂	X
ejpam-6295	105	16	the	the	DET
ejpam-6295	105	17	bayes	bayes	PROPN
ejpam-6295	105	18	estimator	estimator	NOUN
ejpam-6295	105	19	θ̂	θ̂	NUM
ejpam-6295	105	20	can	can	AUX
ejpam-6295	105	21	be	be	AUX
ejpam-6295	105	22	defined	define	VERB
ejpam-6295	105	23	as	as	ADP
ejpam-6295	105	24	θ̂	θ̂	X
ejpam-6295	105	25	∫	∫	PROPN
ejpam-6295	105	26	c(n	c(n	PROPN
ejpam-6295	105	27	)	)	PUNCT
ejpam-6295	105	28	γ	γ	PROPN
ejpam-6295	105	29	(	(	PUNCT
ejpam-6295	105	30	n	n	CCONJ
ejpam-6295	105	31	)	)	PUNCT
ejpam-6295	105	32	θ(n−1)e−θcdλ−	θ(n−1)e−θcdλ−	NOUN
ejpam-6295	105	33	1	1	NUM
ejpam-6295	105	34	θ̂2	θ̂2	NOUN
ejpam-6295	105	35	∫	∫	PROPN
ejpam-6295	105	36	θ2	θ2	PROPN
ejpam-6295	105	37	c(n	c(n	PROPN
ejpam-6295	105	38	)	)	PUNCT
ejpam-6295	105	39	γ	γ	PROPN
ejpam-6295	105	40	(	(	PUNCT
ejpam-6295	105	41	n	n	CCONJ
ejpam-6295	105	42	)	)	PUNCT
ejpam-6295	105	43	θ(n−1)e−θcdθ	θ(n−1)e−θcdθ	PUNCT
ejpam-6295	105	44	=	=	SYM
ejpam-6295	105	45	0	0	PUNCT
ejpam-6295	106	1	hence	hence	ADV
ejpam-6295	106	2	,	,	PUNCT
ejpam-6295	106	3	we	we	PRON
ejpam-6295	106	4	determined	determine	VERB
ejpam-6295	106	5	the	the	DET
ejpam-6295	106	6	result	result	NOUN
ejpam-6295	106	7	θ̂pelf	θ̂pelf	PRON
ejpam-6295	106	8	=	=	SYM
ejpam-6295	106	9	√	√	NUM
ejpam-6295	106	10	{	{	PUNCT
ejpam-6295	106	11	n	n	PROPN
ejpam-6295	106	12	(	(	PUNCT
ejpam-6295	106	13	n+	n+	NOUN
ejpam-6295	106	14	2	2	NUM
ejpam-6295	106	15	)	)	PUNCT
ejpam-6295	106	16	}	}	PUNCT
ejpam-6295	106	17	c	c	NOUN
ejpam-6295	106	18	(	(	PUNCT
ejpam-6295	106	19	12	12	NUM
ejpam-6295	106	20	)	)	PUNCT
ejpam-6295	106	21	4	4	NUM
ejpam-6295	106	22	.	.	PUNCT
ejpam-6295	107	1	practical	practical	ADJ
ejpam-6295	107	2	applications	application	NOUN
ejpam-6295	107	3	bayesian	bayesian	NOUN
ejpam-6295	107	4	analysis	analysis	NOUN
ejpam-6295	107	5	application	application	NOUN
ejpam-6295	107	6	this	this	DET
ejpam-6295	107	7	section	section	NOUN
ejpam-6295	107	8	illustrates	illustrate	VERB
ejpam-6295	107	9	the	the	DET
ejpam-6295	107	10	practical	practical	ADJ
ejpam-6295	107	11	application	application	NOUN
ejpam-6295	107	12	of	of	ADP
ejpam-6295	107	13	the	the	DET
ejpam-6295	107	14	bayesian	bayesian	NOUN
ejpam-6295	107	15	analysis	analysis	NOUN
ejpam-6295	107	16	of	of	ADP
ejpam-6295	107	17	the	the	DET
ejpam-6295	107	18	lomaxpower	lomaxpower	PROPN
ejpam-6295	107	19	rayleigh	rayleigh	PROPN
ejpam-6295	107	20	(	(	PUNCT
ejpam-6295	107	21	t	t	PROPN
ejpam-6295	107	22	-	-	PUNCT
ejpam-6295	107	23	x	x	NOUN
ejpam-6295	107	24	)	)	PUNCT
ejpam-6295	107	25	distribution	distribution	NOUN
ejpam-6295	107	26	developed	develop	VERB
ejpam-6295	107	27	in	in	ADP
ejpam-6295	107	28	this	this	DET
ejpam-6295	107	29	study	study	NOUN
ejpam-6295	107	30	.	.	PUNCT
ejpam-6295	108	1	by	by	ADP
ejpam-6295	108	2	employing	employ	VERB
ejpam-6295	108	3	both	both	CCONJ
ejpam-6295	108	4	uniform	uniform	NOUN
ejpam-6295	108	5	and	and	CCONJ
ejpam-6295	108	6	jeffery	jeffery	PROPN
ejpam-6295	108	7	priors	priors	PROPN
ejpam-6295	108	8	,	,	PUNCT
ejpam-6295	108	9	we	we	PRON
ejpam-6295	108	10	evaluate	evaluate	VERB
ejpam-6295	108	11	the	the	DET
ejpam-6295	108	12	performance	performance	NOUN
ejpam-6295	108	13	of	of	ADP
ejpam-6295	108	14	the	the	DET
ejpam-6295	108	15	bayesian	bayesian	NOUN
ejpam-6295	108	16	estimators	estimator	NOUN
ejpam-6295	108	17	using	use	VERB
ejpam-6295	108	18	real	real	ADJ
ejpam-6295	108	19	and	and	CCONJ
ejpam-6295	108	20	simulated	simulated	ADJ
ejpam-6295	108	21	datasets	dataset	NOUN
ejpam-6295	108	22	.	.	PUNCT
ejpam-6295	109	1	a	a	DET
ejpam-6295	109	2	real	real	ADJ
ejpam-6295	109	3	dataset	dataset	NOUN
ejpam-6295	109	4	,	,	PUNCT
ejpam-6295	109	5	sourced	source	VERB
ejpam-6295	109	6	from	from	ADP
ejpam-6295	109	7	existing	exist	VERB
ejpam-6295	109	8	literature	literature	NOUN
ejpam-6295	109	9	[	[	X
ejpam-6295	109	10	14	14	NUM
ejpam-6295	109	11	]	]	PUNCT
ejpam-6295	109	12	,	,	PUNCT
ejpam-6295	109	13	is	be	AUX
ejpam-6295	109	14	analyzed	analyze	VERB
ejpam-6295	109	15	to	to	PART
ejpam-6295	109	16	demonstrate	demonstrate	VERB
ejpam-6295	109	17	the	the	DET
ejpam-6295	109	18	effectiveness	effectiveness	NOUN
ejpam-6295	109	19	of	of	ADP
ejpam-6295	109	20	the	the	DET
ejpam-6295	109	21	proposed	propose	VERB
ejpam-6295	109	22	approach	approach	NOUN
ejpam-6295	109	23	.	.	PUNCT
ejpam-6295	110	1	4.1	4.1	NUM
ejpam-6295	110	2	.	.	PUNCT
ejpam-6295	111	1	real	real	ADJ
ejpam-6295	111	2	data	datum	NOUN
ejpam-6295	111	3	analysis	analysis	NOUN
ejpam-6295	111	4	the	the	DET
ejpam-6295	111	5	real	real	ADJ
ejpam-6295	111	6	data	datum	NOUN
ejpam-6295	111	7	set	set	NOUN
ejpam-6295	111	8	defines	define	VERB
ejpam-6295	111	9	the	the	DET
ejpam-6295	111	10	failure	failure	NOUN
ejpam-6295	111	11	time	time	NOUN
ejpam-6295	111	12	of	of	ADP
ejpam-6295	111	13	84	84	NUM
ejpam-6295	111	14	windshields	windshield	NOUN
ejpam-6295	111	15	for	for	ADP
ejpam-6295	111	16	a	a	DET
ejpam-6295	111	17	particular	particular	ADJ
ejpam-6295	111	18	model	model	NOUN
ejpam-6295	111	19	of	of	ADP
ejpam-6295	111	20	aircraft	aircraft	NOUN
ejpam-6295	111	21	(	(	PUNCT
ejpam-6295	111	22	the	the	DET
ejpam-6295	111	23	unit	unit	NOUN
ejpam-6295	111	24	for	for	ADP
ejpam-6295	111	25	measurement	measurement	NOUN
ejpam-6295	111	26	is	be	AUX
ejpam-6295	111	27	1000	1000	NUM
ejpam-6295	111	28	hours	hour	NOUN
ejpam-6295	111	29	)	)	PUNCT
ejpam-6295	111	30	with	with	ADP
ejpam-6295	111	31	the	the	DET
ejpam-6295	111	32	following	follow	VERB
ejpam-6295	111	33	values	value	NOUN
ejpam-6295	111	34	:	:	PUNCT
ejpam-6295	111	35	0.040	0.040	NUM
ejpam-6295	111	36	,	,	PUNCT
ejpam-6295	111	37	1.866	1.866	NUM
ejpam-6295	111	38	,	,	PUNCT
ejpam-6295	111	39	2.385	2.385	NUM
ejpam-6295	111	40	,	,	PUNCT
ejpam-6295	111	41	3.443	3.443	NUM
ejpam-6295	111	42	,	,	PUNCT
ejpam-6295	111	43	0.301	0.301	NUM
ejpam-6295	111	44	,	,	PUNCT
ejpam-6295	111	45	1.876	1.876	NUM
ejpam-6295	111	46	,	,	PUNCT
ejpam-6295	111	47	2.481	2.481	NUM
ejpam-6295	111	48	,	,	PUNCT
ejpam-6295	111	49	3.467	3.467	NUM
ejpam-6295	111	50	,	,	PUNCT
ejpam-6295	111	51	0.309	0.309	NUM
ejpam-6295	111	52	,	,	PUNCT
ejpam-6295	111	53	1.899	1.899	NUM
ejpam-6295	111	54	,	,	PUNCT
ejpam-6295	111	55	2.610	2.610	NUM
ejpam-6295	111	56	,	,	PUNCT
ejpam-6295	111	57	3.478	3.478	NUM
ejpam-6295	111	58	,	,	PUNCT
ejpam-6295	111	59	0.557,1.911	0.557,1.911	PROPN
ejpam-6295	111	60	,	,	PUNCT
ejpam-6295	111	61	2.625	2.625	NUM
ejpam-6295	111	62	,	,	PUNCT
ejpam-6295	111	63	3.578	3.578	NUM
ejpam-6295	111	64	,	,	PUNCT
ejpam-6295	111	65	0.943	0.943	NUM
ejpam-6295	111	66	,	,	PUNCT
ejpam-6295	111	67	1.912	1.912	NUM
ejpam-6295	111	68	,	,	PUNCT
ejpam-6295	111	69	2.632	2.632	NUM
ejpam-6295	111	70	,	,	PUNCT
ejpam-6295	111	71	3.595	3.595	NUM
ejpam-6295	111	72	,	,	PUNCT
ejpam-6295	111	73	1.070	1.070	NUM
ejpam-6295	111	74	,	,	PUNCT
ejpam-6295	111	75	1.914	1.914	NUM
ejpam-6295	111	76	,	,	PUNCT
ejpam-6295	111	77	2.646	2.646	NUM
ejpam-6295	111	78	,	,	PUNCT
ejpam-6295	111	79	3.699	3.699	NUM
ejpam-6295	111	80	,	,	PUNCT
ejpam-6295	111	81	1.124	1.124	NUM
ejpam-6295	111	82	,	,	PUNCT
ejpam-6295	111	83	1.981,2.661	1.981,2.661	NUM
ejpam-6295	111	84	,	,	PUNCT
ejpam-6295	111	85	3.779	3.779	NUM
ejpam-6295	111	86	,	,	PUNCT
ejpam-6295	111	87	1.248	1.248	NUM
ejpam-6295	111	88	,	,	PUNCT
ejpam-6295	111	89	2.010	2.010	NUM
ejpam-6295	111	90	,	,	PUNCT
ejpam-6295	111	91	2.688	2.688	NUM
ejpam-6295	111	92	,	,	PUNCT
ejpam-6295	111	93	3.924	3.924	NUM
ejpam-6295	111	94	,	,	PUNCT
ejpam-6295	111	95	1.281	1.281	NUM
ejpam-6295	111	96	,	,	PUNCT
ejpam-6295	111	97	2.038	2.038	NUM
ejpam-6295	111	98	,	,	PUNCT
ejpam-6295	111	99	2.82,3	2.82,3	NUM
ejpam-6295	111	100	,	,	PUNCT
ejpam-6295	111	101	4.035	4.035	NUM
ejpam-6295	111	102	,	,	PUNCT
ejpam-6295	111	103	1.281	1.281	NUM
ejpam-6295	111	104	,	,	PUNCT
ejpam-6295	111	105	2.085	2.085	NUM
ejpam-6295	111	106	,	,	PUNCT
ejpam-6295	111	107	2.890,4.121	2.890,4.121	NUM
ejpam-6295	111	108	,	,	PUNCT
ejpam-6295	111	109	1.303	1.303	NUM
ejpam-6295	111	110	,	,	PUNCT
ejpam-6295	111	111	2.089	2.089	NUM
ejpam-6295	111	112	,	,	PUNCT
ejpam-6295	111	113	2.902	2.902	NUM
ejpam-6295	111	114	,	,	PUNCT
ejpam-6295	111	115	4.167	4.167	NUM
ejpam-6295	111	116	,	,	PUNCT
ejpam-6295	111	117	1.432	1.432	NUM
ejpam-6295	111	118	,	,	PUNCT
ejpam-6295	111	119	2.097	2.097	NUM
ejpam-6295	111	120	,	,	PUNCT
ejpam-6295	111	121	2.934	2.934	NUM
ejpam-6295	111	122	,	,	PUNCT
ejpam-6295	111	123	4.240	4.240	NUM
ejpam-6295	111	124	,	,	PUNCT
ejpam-6295	111	125	1.480	1.480	NUM
ejpam-6295	111	126	,	,	PUNCT
ejpam-6295	111	127	2.135	2.135	NUM
ejpam-6295	111	128	,	,	PUNCT
ejpam-6295	111	129	2.962	2.962	NUM
ejpam-6295	111	130	,	,	PUNCT
ejpam-6295	111	131	4.255,1.505	4.255,1.505	NUM
ejpam-6295	111	132	,	,	PUNCT
ejpam-6295	111	133	2.154	2.154	NUM
ejpam-6295	111	134	,	,	PUNCT
ejpam-6295	111	135	2.964	2.964	NUM
ejpam-6295	111	136	,	,	PUNCT
ejpam-6295	111	137	4.278	4.278	NUM
ejpam-6295	111	138	,	,	PUNCT
ejpam-6295	111	139	1.506	1.506	NUM
ejpam-6295	111	140	,	,	PUNCT
ejpam-6295	111	141	2.190	2.190	NUM
ejpam-6295	111	142	,	,	PUNCT
ejpam-6295	111	143	3.000	3.000	NUM
ejpam-6295	111	144	,	,	PUNCT
ejpam-6295	111	145	4.305	4.305	NUM
ejpam-6295	111	146	,	,	PUNCT
ejpam-6295	111	147	1.568	1.568	NUM
ejpam-6295	111	148	,	,	PUNCT
ejpam-6295	111	149	2.194	2.194	NUM
ejpam-6295	111	150	,	,	PUNCT
ejpam-6295	111	151	3.103	3.103	NUM
ejpam-6295	111	152	,	,	PUNCT
ejpam-6295	111	153	4.376	4.376	NUM
ejpam-6295	111	154	,	,	PUNCT
ejpam-6295	111	155	1.615,2.223	1.615,2.223	NUM
ejpam-6295	111	156	,	,	PUNCT
ejpam-6295	111	157	3.114	3.114	NUM
ejpam-6295	111	158	,	,	PUNCT
ejpam-6295	111	159	4.449	4.449	NUM
ejpam-6295	111	160	,	,	PUNCT
ejpam-6295	111	161	1.619	1.619	NUM
ejpam-6295	111	162	,	,	PUNCT
ejpam-6295	111	163	2.224	2.224	NUM
ejpam-6295	111	164	,	,	PUNCT
ejpam-6295	111	165	3.117	3.117	NUM
ejpam-6295	111	166	,	,	PUNCT
ejpam-6295	111	167	4.485	4.485	NUM
ejpam-6295	111	168	,	,	PUNCT
ejpam-6295	111	169	1.652	1.652	NUM
ejpam-6295	111	170	,	,	PUNCT
ejpam-6295	111	171	2.229	2.229	NUM
ejpam-6295	111	172	,	,	PUNCT
ejpam-6295	111	173	3.166	3.166	NUM
ejpam-6295	111	174	,	,	PUNCT
ejpam-6295	111	175	4.570	4.570	NUM
ejpam-6295	111	176	,	,	PUNCT
ejpam-6295	111	177	1.652	1.652	NUM
ejpam-6295	111	178	,	,	PUNCT
ejpam-6295	111	179	2.300,3.344	2.300,3.344	NUM
ejpam-6295	111	180	,	,	PUNCT
ejpam-6295	111	181	4.602	4.602	NUM
ejpam-6295	111	182	,	,	PUNCT
ejpam-6295	111	183	1.757	1.757	NUM
ejpam-6295	111	184	,	,	PUNCT
ejpam-6295	111	185	2.324	2.324	NUM
ejpam-6295	111	186	,	,	PUNCT
ejpam-6295	111	187	3.376	3.376	NUM
ejpam-6295	111	188	,	,	PUNCT
ejpam-6295	111	189	4.663	4.663	NUM
ejpam-6295	111	190	.	.	PUNCT
ejpam-6295	112	1	table	table	NOUN
ejpam-6295	112	2	1	1	NUM
ejpam-6295	112	3	demonstrates	demonstrate	VERB
ejpam-6295	112	4	that	that	SCONJ
ejpam-6295	112	5	with	with	ADP
ejpam-6295	112	6	the	the	DET
ejpam-6295	112	7	fixed	fix	VERB
ejpam-6295	112	8	values	value	NOUN
ejpam-6295	112	9	of	of	ADP
ejpam-6295	112	10	all	all	DET
ejpam-6295	112	11	other	other	ADJ
ejpam-6295	112	12	parameters	parameter	NOUN
ejpam-6295	112	13	rather	rather	ADV
ejpam-6295	112	14	than	than	ADP
ejpam-6295	112	15	θ	θ	PROPN
ejpam-6295	112	16	,	,	PUNCT
ejpam-6295	112	17	the	the	DET
ejpam-6295	112	18	result	result	NOUN
ejpam-6295	112	19	of	of	ADP
ejpam-6295	112	20	qelf	qelf	PRON
ejpam-6295	112	21	perform	perform	VERB
ejpam-6295	112	22	better	well	ADV
ejpam-6295	112	23	than	than	ADP
ejpam-6295	112	24	others	other	NOUN
ejpam-6295	112	25	when	when	SCONJ
ejpam-6295	112	26	the	the	DET
ejpam-6295	112	27	uniform	uniform	NOUN
ejpam-6295	112	28	and	and	CCONJ
ejpam-6295	112	29	jeffery	jeffery	PROPN
ejpam-6295	112	30	priors	prior	NOUN
ejpam-6295	112	31	are	be	AUX
ejpam-6295	112	32	considered	consider	VERB
ejpam-6295	112	33	.	.	PUNCT
ejpam-6295	113	1	similarly	similarly	ADV
ejpam-6295	113	2	,	,	PUNCT
ejpam-6295	113	3	table	table	NOUN
ejpam-6295	113	4	2	2	NUM
ejpam-6295	113	5	declared	declare	VERB
ejpam-6295	113	6	that	that	SCONJ
ejpam-6295	113	7	as	as	SCONJ
ejpam-6295	113	8	the	the	DET
ejpam-6295	113	9	sample	sample	NOUN
ejpam-6295	113	10	size	size	NOUN
ejpam-6295	113	11	grows	grow	VERB
ejpam-6295	113	12	,	,	PUNCT
ejpam-6295	113	13	the	the	DET
ejpam-6295	113	14	mse	mse	NOUN
ejpam-6295	113	15	decreases	decrease	VERB
ejpam-6295	113	16	.	.	PUNCT
ejpam-6295	114	1	figure	figure	NOUN
ejpam-6295	114	2	3	3	NUM
ejpam-6295	114	3	clearly	clearly	ADV
ejpam-6295	114	4	demonstrates	demonstrate	VERB
ejpam-6295	114	5	that	that	SCONJ
ejpam-6295	114	6	with	with	ADP
ejpam-6295	114	7	the	the	DET
ejpam-6295	114	8	increase	increase	NOUN
ejpam-6295	114	9	in	in	ADP
ejpam-6295	114	10	sample	sample	NOUN
ejpam-6295	114	11	size	size	NOUN
ejpam-6295	114	12	,	,	PUNCT
ejpam-6295	114	13	the	the	DET
ejpam-6295	114	14	mse	mse	NOUN
ejpam-6295	114	15	of	of	ADP
ejpam-6295	114	16	bayesian	bayesian	NOUN
ejpam-6295	114	17	estimates	estimate	NOUN
ejpam-6295	114	18	are	be	AUX
ejpam-6295	114	19	decreased	decrease	VERB
ejpam-6295	114	20	in	in	ADP
ejpam-6295	114	21	both	both	CCONJ
ejpam-6295	114	22	uniform	uniform	NOUN
ejpam-6295	114	23	and	and	CCONJ
ejpam-6295	114	24	jeffery	jeffery	PROPN
ejpam-6295	114	25	priors	priors	PROPN
ejpam-6295	114	26	.	.	PUNCT
ejpam-6295	115	1	muhammad	muhammad	PROPN
ejpam-6295	115	2	ijaz	ijaz	PROPN
ejpam-6295	115	3	et	et	PROPN
ejpam-6295	115	4	al	al	PROPN
ejpam-6295	115	5	.	.	PUNCT
ejpam-6295	115	6	/	/	SYM
ejpam-6295	115	7	eur	eur	PROPN
ejpam-6295	115	8	.	.	PUNCT
ejpam-6295	116	1	j.	j.	PROPN
ejpam-6295	116	2	pure	pure	PROPN
ejpam-6295	116	3	appl	appl	PROPN
ejpam-6295	116	4	.	.	PROPN
ejpam-6295	116	5	math	math	PROPN
ejpam-6295	116	6	,	,	PUNCT
ejpam-6295	116	7	18	18	NUM
ejpam-6295	116	8	(	(	PUNCT
ejpam-6295	116	9	3	3	NUM
ejpam-6295	116	10	)	)	PUNCT
ejpam-6295	116	11	(	(	PUNCT
ejpam-6295	116	12	2025	2025	NUM
ejpam-6295	116	13	)	)	PUNCT
ejpam-6295	116	14	,	,	PUNCT
ejpam-6295	116	15	6295	6295	NUM
ejpam-6295	116	16	9	9	NUM
ejpam-6295	116	17	of	of	ADP
ejpam-6295	116	18	12	12	NUM
ejpam-6295	116	19	table	table	NOUN
ejpam-6295	116	20	1	1	NUM
ejpam-6295	116	21	:	:	PUNCT
ejpam-6295	116	22	estimated	estimate	VERB
ejpam-6295	116	23	value	value	NOUN
ejpam-6295	116	24	and	and	CCONJ
ejpam-6295	116	25	mse	mse	NOUN
ejpam-6295	116	26	under	under	ADP
ejpam-6295	116	27	uniform	uniform	NOUN
ejpam-6295	116	28	and	and	CCONJ
ejpam-6295	116	29	jeffery	jeffery	PROPN
ejpam-6295	116	30	priors	priors	PROPN
ejpam-6295	116	31	uniform	uniform	PROPN
ejpam-6295	116	32	prior	prior	ADV
ejpam-6295	116	33	,	,	PUNCT
ejpam-6295	116	34	when	when	SCONJ
ejpam-6295	116	35	jeffery	jeffery	PROPN
ejpam-6295	116	36	’s	’s	PART
ejpam-6295	116	37	prior	prior	ADV
ejpam-6295	116	38	,	,	PUNCT
ejpam-6295	116	39	when	when	SCONJ
ejpam-6295	116	40	n	n	PROPN
ejpam-6295	116	41	=	=	SYM
ejpam-6295	116	42	50	50	NUM
ejpam-6295	116	43	,	,	PUNCT
ejpam-6295	116	44	α	α	NOUN
ejpam-6295	116	45	=	=	SYM
ejpam-6295	116	46	3.5	3.5	NUM
ejpam-6295	116	47	,	,	PUNCT
ejpam-6295	116	48	β	β	X
ejpam-6295	116	49	=	=	NOUN
ejpam-6295	116	50	0.05	0.05	NUM
ejpam-6295	116	51	,	,	PUNCT
ejpam-6295	116	52	λ	λ	X
ejpam-6295	116	53	=	=	NOUN
ejpam-6295	116	54	1.5	1.5	NUM
ejpam-6295	116	55	n	n	NOUN
ejpam-6295	116	56	=	=	SYM
ejpam-6295	116	57	50	50	NUM
ejpam-6295	116	58	,	,	PUNCT
ejpam-6295	116	59	α	α	NOUN
ejpam-6295	116	60	=	=	SYM
ejpam-6295	116	61	1.5	1.5	NUM
ejpam-6295	116	62	,	,	PUNCT
ejpam-6295	116	63	β	β	X
ejpam-6295	116	64	=	=	SYM
ejpam-6295	116	65	1.0	1.0	NUM
ejpam-6295	116	66	,	,	PUNCT
ejpam-6295	116	67	λ	λ	X
ejpam-6295	116	68	=	=	SYM
ejpam-6295	116	69	0.5	0.5	NUM
ejpam-6295	116	70	θ	θ	PROPN
ejpam-6295	116	71	self	self	NOUN
ejpam-6295	116	72	qelf	qelf	NOUN
ejpam-6295	116	73	welf	welf	NOUN
ejpam-6295	116	74	pelf	pelf	NOUN
ejpam-6295	116	75	θ	θ	PROPN
ejpam-6295	116	76	self	self	NOUN
ejpam-6295	116	77	qelf	qelf	NOUN
ejpam-6295	116	78	welf	welf	NOUN
ejpam-6295	116	79	pelf	pelf	PRON
ejpam-6295	116	80	1.5	1.5	NUM
ejpam-6295	116	81	0.0681	0.0681	NUM
ejpam-6295	117	1	1.4998	1.4998	NUM
ejpam-6295	117	2	1.5145	1.5145	NUM
ejpam-6295	117	3	1.5385	1.5385	NUM
ejpam-6295	117	4	1.5	1.5	NUM
ejpam-6295	117	5	0.0001	0.0001	NUM
ejpam-6295	117	6	0.5969	0.5969	NUM
ejpam-6295	117	7	0.6096	0.6096	NUM
ejpam-6295	117	8	0.6284	0.6284	NUM
ejpam-6295	117	9	2.0503	2.0503	NUM
ejpam-6295	117	10	0.0227	0.0227	NUM
ejpam-6295	118	1	0.0238	0.0238	NUM
ejpam-6295	118	2	0.0258	0.0258	NUM
ejpam-6295	118	3	0.2500	0.2500	NUM
ejpam-6295	118	4	0.0104	0.0104	NUM
ejpam-6295	118	5	0.0130	0.0130	NUM
ejpam-6295	118	6	0.0176	0.0176	NUM
ejpam-6295	118	7	1	1	NUM
ejpam-6295	118	8	2.0377	2.0377	NUM
ejpam-6295	118	9	1.9935	1.9935	NUM
ejpam-6295	118	10	2.0186	2.0186	NUM
ejpam-6295	118	11	2.0434	2.0434	NUM
ejpam-6295	118	12	2.5	2.5	NUM
ejpam-6295	118	13	0.6216	0.6216	NUM
ejpam-6295	118	14	0.5975	0.5975	NUM
ejpam-6295	118	15	0.6091	0.6091	NUM
ejpam-6295	118	16	0.6281	0.6281	NUM
ejpam-6295	118	17	0.3305	0.3305	NUM
ejpam-6295	118	18	0.2830	0.2830	NUM
ejpam-6295	118	19	0.3109	0.3109	NUM
ejpam-6295	118	20	0.3378	0.3378	NUM
ejpam-6295	118	21	0.0159	0.0159	NUM
ejpam-6295	118	22	0.0105	0.0105	NUM
ejpam-6295	118	23	0.0129	0.0129	NUM
ejpam-6295	118	24	0.0175	0.0175	NUM
ejpam-6295	118	25	2.5	2.5	NUM
ejpam-6295	118	26	2.5481	2.5481	NUM
ejpam-6295	118	27	2.5007	2.5007	NUM
ejpam-6295	118	28	2.5263	2.5263	NUM
ejpam-6295	118	29	2.5604	2.5604	NUM
ejpam-6295	118	30	3.5	3.5	NUM
ejpam-6295	118	31	0.6213	0.6213	NUM
ejpam-6295	118	32	0.5968	0.5968	NUM
ejpam-6295	118	33	0.6095	0.6095	NUM
ejpam-6295	118	34	0.6282	0.6282	NUM
ejpam-6295	118	35	1.1682	1.1682	NUM
ejpam-6295	118	36	1.0641	1.0641	NUM
ejpam-6295	118	37	1.1191	1.1191	NUM
ejpam-6295	118	38	1.1907	1.1907	NUM
ejpam-6295	118	39	0.0158	0.0158	NUM
ejpam-6295	118	40	0.0103	0.0103	NUM
ejpam-6295	118	41	0.0130	0.0130	NUM
ejpam-6295	118	42	0.0175	0.0175	NUM
ejpam-6295	118	43	3	3	NUM
ejpam-6295	118	44	3.0657	3.0657	NUM
ejpam-6295	118	45	3.0060	3.0060	NUM
ejpam-6295	118	46	3.0342	3.0342	NUM
ejpam-6295	118	47	3.0753	3.0753	NUM
ejpam-6295	118	48	4.5	4.5	NUM
ejpam-6295	118	49	0.6224	0.6224	NUM
ejpam-6295	118	50	0.5977	0.5977	NUM
ejpam-6295	118	51	0.6092	0.6092	NUM
ejpam-6295	118	52	0.6279	0.6279	NUM
ejpam-6295	118	53	2.5454	2.5454	NUM
ejpam-6295	118	54	2.3598	2.3598	NUM
ejpam-6295	118	55	2.4488	2.4488	NUM
ejpam-6295	118	56	2.5758	2.5758	NUM
ejpam-6295	118	57	0.0161	0.0161	NUM
ejpam-6295	118	58	0.0106	0.0106	NUM
ejpam-6295	118	59	0.0129	0.0129	NUM
ejpam-6295	118	60	0.0175	0.0175	NUM
ejpam-6295	118	61	3.5	3.5	NUM
ejpam-6295	118	62	3.5619	3.5619	NUM
ejpam-6295	118	63	3.5101	3.5101	NUM
ejpam-6295	118	64	0.0685	0.0685	NUM
ejpam-6295	118	65	3.5855	3.5855	NUM
ejpam-6295	118	66	5.5	5.5	NUM
ejpam-6295	118	67	0.6227	0.6227	NUM
ejpam-6295	118	68	0.5970	0.5970	NUM
ejpam-6295	118	69	0.6103	0.6103	NUM
ejpam-6295	119	1	0.6282	0.6282	NUM
ejpam-6295	119	2	4.4103	4.4103	NUM
ejpam-6295	119	3	4.1661	4.1661	NUM
ejpam-6295	119	4	2.0494	2.0494	NUM
ejpam-6295	119	5	4.4808	4.4808	NUM
ejpam-6295	119	6	0.0161	0.0161	NUM
ejpam-6295	119	7	0.0104	0.0104	NUM
ejpam-6295	119	8	0.0132	0.0132	NUM
ejpam-6295	119	9	0.0175	0.0175	NUM
ejpam-6295	119	10	figure	figure	NOUN
ejpam-6295	119	11	3	3	NUM
ejpam-6295	119	12	:	:	PUNCT
ejpam-6295	119	13	(	(	PUNCT
ejpam-6295	119	14	a	a	X
ejpam-6295	119	15	)	)	PUNCT
ejpam-6295	119	16	mse	mse	NOUN
ejpam-6295	119	17	under	under	ADP
ejpam-6295	119	18	a	a	DET
ejpam-6295	119	19	uniform	uniform	NOUN
ejpam-6295	119	20	prior	prior	ADV
ejpam-6295	119	21	;	;	PUNCT
ejpam-6295	119	22	(	(	PUNCT
ejpam-6295	119	23	b	b	X
ejpam-6295	119	24	)	)	PUNCT
ejpam-6295	119	25	mse	mse	NOUN
ejpam-6295	119	26	under	under	ADP
ejpam-6295	119	27	jeffery	jeffery	PROPN
ejpam-6295	119	28	prior	prior	ADV
ejpam-6295	119	29	5	5	NUM
ejpam-6295	119	30	.	.	PUNCT
ejpam-6295	119	31	simulation	simulation	NOUN
ejpam-6295	119	32	analysis	analysis	NOUN
ejpam-6295	119	33	in	in	ADP
ejpam-6295	119	34	this	this	DET
ejpam-6295	119	35	section	section	NOUN
ejpam-6295	119	36	,	,	PUNCT
ejpam-6295	119	37	a	a	DET
ejpam-6295	119	38	simulation	simulation	NOUN
ejpam-6295	119	39	study	study	NOUN
ejpam-6295	119	40	has	have	AUX
ejpam-6295	119	41	been	be	AUX
ejpam-6295	119	42	carried	carry	VERB
ejpam-6295	119	43	by	by	ADP
ejpam-6295	119	44	choosing	choose	VERB
ejpam-6295	119	45	different	different	ADJ
ejpam-6295	119	46	parameter	parameter	NOUN
ejpam-6295	119	47	values	value	NOUN
ejpam-6295	119	48	with	with	ADP
ejpam-6295	119	49	replication	replication	NOUN
ejpam-6295	119	50	of	of	ADP
ejpam-6295	119	51	5000	5000	NUM
ejpam-6295	119	52	times	time	NOUN
ejpam-6295	119	53	.	.	PUNCT
ejpam-6295	120	1	the	the	DET
ejpam-6295	120	2	following	follow	VERB
ejpam-6295	120	3	quantile	quantile	ADJ
ejpam-6295	120	4	function	function	NOUN
ejpam-6295	120	5	was	be	AUX
ejpam-6295	120	6	used	use	VERB
ejpam-6295	120	7	to	to	PART
ejpam-6295	120	8	simulate	simulate	VERB
ejpam-6295	120	9	data	datum	NOUN
ejpam-6295	120	10	x	x	PUNCT
ejpam-6295	120	11	=	=	PUNCT
ejpam-6295	120	12	[	[	PUNCT
ejpam-6295	120	13	2β2	2β2	NUM
ejpam-6295	120	14	λ	λ	NOUN
ejpam-6295	120	15	{	{	PUNCT
ejpam-6295	120	16	(	(	PUNCT
ejpam-6295	120	17	1−	1−	NUM
ejpam-6295	120	18	u	u	NOUN
ejpam-6295	120	19	)	)	PUNCT
ejpam-6295	120	20	−1	−1	NOUN
ejpam-6295	120	21	θ	θ	NOUN
ejpam-6295	120	22	−	−	PROPN
ejpam-6295	120	23	1	1	NUM
ejpam-6295	120	24	}	}	PUNCT
ejpam-6295	120	25	]	]	PUNCT
ejpam-6295	120	26	1	1	NUM
ejpam-6295	120	27	2α	2α	NOUN
ejpam-6295	120	28	table	table	NOUN
ejpam-6295	120	29	3	3	NUM
ejpam-6295	120	30	,	,	PUNCT
ejpam-6295	120	31	and	and	CCONJ
ejpam-6295	120	32	table	table	NOUN
ejpam-6295	120	33	4	4	NUM
ejpam-6295	120	34	conclude	conclude	VERB
ejpam-6295	120	35	that	that	SCONJ
ejpam-6295	120	36	with	with	ADP
ejpam-6295	120	37	different	different	ADJ
ejpam-6295	120	38	parameter	parameter	NOUN
ejpam-6295	120	39	values	value	NOUN
ejpam-6295	120	40	of	of	ADP
ejpam-6295	120	41	θ	θ	PROPN
ejpam-6295	120	42	and	and	CCONJ
ejpam-6295	120	43	n	n	CCONJ
ejpam-6295	120	44	,	,	PUNCT
ejpam-6295	120	45	the	the	DET
ejpam-6295	120	46	mse	mse	NOUN
ejpam-6295	120	47	of	of	ADP
ejpam-6295	120	48	qelf	qelf	NOUN
ejpam-6295	120	49	is	be	AUX
ejpam-6295	120	50	lower	low	ADJ
ejpam-6295	120	51	than	than	ADP
ejpam-6295	120	52	the	the	DET
ejpam-6295	120	53	mse	mse	NOUN
ejpam-6295	120	54	of	of	ADP
ejpam-6295	120	55	all	all	DET
ejpam-6295	120	56	other	other	ADJ
ejpam-6295	120	57	error	error	NOUN
ejpam-6295	120	58	loss	loss	NOUN
ejpam-6295	120	59	functions	function	NOUN
ejpam-6295	120	60	.	.	PUNCT
ejpam-6295	121	1	figure	figure	NOUN
ejpam-6295	121	2	4	4	NUM
ejpam-6295	121	3	declares	declare	VERB
ejpam-6295	121	4	that	that	SCONJ
ejpam-6295	121	5	the	the	DET
ejpam-6295	121	6	smaller	small	ADJ
ejpam-6295	121	7	mse	mse	NOUN
ejpam-6295	121	8	are	be	AUX
ejpam-6295	121	9	attained	attain	VERB
ejpam-6295	121	10	in	in	ADP
ejpam-6295	121	11	both	both	CCONJ
ejpam-6295	121	12	under	under	ADP
ejpam-6295	121	13	a	a	DET
ejpam-6295	121	14	uniform	uniform	NOUN
ejpam-6295	121	15	and	and	CCONJ
ejpam-6295	121	16	jeffery	jeffery	PROPN
ejpam-6295	121	17	priors	prior	NOUN
ejpam-6295	121	18	when	when	SCONJ
ejpam-6295	121	19	the	the	DET
ejpam-6295	121	20	qelf	qelf	NOUN
ejpam-6295	121	21	is	be	AUX
ejpam-6295	121	22	considered	consider	VERB
ejpam-6295	121	23	.	.	PUNCT
ejpam-6295	122	1	as	as	SCONJ
ejpam-6295	122	2	we	we	PRON
ejpam-6295	122	3	increase	increase	VERB
ejpam-6295	122	4	the	the	DET
ejpam-6295	122	5	sample	sample	NOUN
ejpam-6295	122	6	of	of	ADP
ejpam-6295	122	7	size	size	NOUN
ejpam-6295	122	8	n	n	CCONJ
ejpam-6295	122	9	,	,	PUNCT
ejpam-6295	122	10	the	the	DET
ejpam-6295	122	11	results	result	NOUN
ejpam-6295	122	12	of	of	ADP
ejpam-6295	122	13	welf	welf	NOUN
ejpam-6295	122	14	becomes	become	VERB
ejpam-6295	122	15	closure	closure	NOUN
ejpam-6295	122	16	to	to	ADP
ejpam-6295	122	17	qelf	qelf	PRON
ejpam-6295	122	18	.	.	PUNCT
ejpam-6295	123	1	muhammad	muhammad	PROPN
ejpam-6295	123	2	ijaz	ijaz	PROPN
ejpam-6295	123	3	et	et	PROPN
ejpam-6295	123	4	al	al	PROPN
ejpam-6295	123	5	.	.	PUNCT
ejpam-6295	123	6	/	/	SYM
ejpam-6295	123	7	eur	eur	PROPN
ejpam-6295	123	8	.	.	PUNCT
ejpam-6295	124	1	j.	j.	PROPN
ejpam-6295	124	2	pure	pure	PROPN
ejpam-6295	124	3	appl	appl	PROPN
ejpam-6295	124	4	.	.	PROPN
ejpam-6295	124	5	math	math	PROPN
ejpam-6295	124	6	,	,	PUNCT
ejpam-6295	124	7	18	18	NUM
ejpam-6295	124	8	(	(	PUNCT
ejpam-6295	124	9	3	3	NUM
ejpam-6295	124	10	)	)	PUNCT
ejpam-6295	124	11	(	(	PUNCT
ejpam-6295	124	12	2025	2025	NUM
ejpam-6295	124	13	)	)	PUNCT
ejpam-6295	124	14	,	,	PUNCT
ejpam-6295	124	15	6295	6295	NUM
ejpam-6295	124	16	10	10	NUM
ejpam-6295	124	17	of	of	ADP
ejpam-6295	124	18	12	12	NUM
ejpam-6295	124	19	table	table	NOUN
ejpam-6295	124	20	2	2	NUM
ejpam-6295	124	21	:	:	PUNCT
ejpam-6295	124	22	estimated	estimate	VERB
ejpam-6295	124	23	value	value	NOUN
ejpam-6295	124	24	and	and	CCONJ
ejpam-6295	124	25	mse	mse	NOUN
ejpam-6295	124	26	under	under	ADP
ejpam-6295	124	27	uniform	uniform	NOUN
ejpam-6295	124	28	and	and	CCONJ
ejpam-6295	124	29	jeffery	jeffery	PROPN
ejpam-6295	124	30	priors	priors	PROPN
ejpam-6295	124	31	uniform	uniform	PROPN
ejpam-6295	124	32	prior	prior	ADV
ejpam-6295	124	33	,	,	PUNCT
ejpam-6295	124	34	when	when	SCONJ
ejpam-6295	124	35	jeffery	jeffery	PROPN
ejpam-6295	124	36	’s	’s	PART
ejpam-6295	124	37	prior	prior	ADV
ejpam-6295	124	38	,	,	PUNCT
ejpam-6295	124	39	when	when	SCONJ
ejpam-6295	124	40	α	α	NOUN
ejpam-6295	124	41	=	=	SYM
ejpam-6295	124	42	1.5	1.5	NUM
ejpam-6295	124	43	,	,	PUNCT
ejpam-6295	124	44	β	β	X
ejpam-6295	124	45	=	=	SYM
ejpam-6295	124	46	1.0	1.0	NUM
ejpam-6295	124	47	,	,	PUNCT
ejpam-6295	124	48	λ	λ	X
ejpam-6295	124	49	=	=	NOUN
ejpam-6295	124	50	0.5	0.5	NUM
ejpam-6295	124	51	,	,	PUNCT
ejpam-6295	124	52	θ	θ	X
ejpam-6295	124	53	=	=	PUNCT
ejpam-6295	124	54	0.8	0.8	NUM
ejpam-6295	124	55	α	α	NOUN
ejpam-6295	124	56	=	=	SYM
ejpam-6295	124	57	1.5	1.5	NUM
ejpam-6295	124	58	,	,	PUNCT
ejpam-6295	124	59	β	β	X
ejpam-6295	124	60	=	=	SYM
ejpam-6295	124	61	1.0	1.0	NUM
ejpam-6295	124	62	,	,	PUNCT
ejpam-6295	124	63	λ	λ	X
ejpam-6295	124	64	=	=	NOUN
ejpam-6295	124	65	0.5	0.5	NUM
ejpam-6295	124	66	,	,	PUNCT
ejpam-6295	124	67	θ	θ	NOUN
ejpam-6295	124	68	=	=	SYM
ejpam-6295	124	69	0.5	0.5	NUM
ejpam-6295	124	70	n	n	PRON
ejpam-6295	124	71	self	self	NOUN
ejpam-6295	124	72	qelf	qelf	NOUN
ejpam-6295	124	73	welf	welf	NOUN
ejpam-6295	124	74	pelf	pelf	NOUN
ejpam-6295	124	75	n	n	PRON
ejpam-6295	124	76	self	self	NOUN
ejpam-6295	124	77	qelf	qelf	NOUN
ejpam-6295	124	78	welf	welf	NOUN
ejpam-6295	124	79	pelf	pelf	NOUN
ejpam-6295	124	80	10	10	NUM
ejpam-6295	124	81	0.7028	0.7028	NUM
ejpam-6295	124	82	0.5753	0.5753	NUM
ejpam-6295	124	83	0.6379	0.6379	NUM
ejpam-6295	124	84	0.7336	0.7336	NUM
ejpam-6295	124	85	10	10	NUM
ejpam-6295	124	86	0.6402	0.6402	NUM
ejpam-6295	124	87	0.5124	0.5124	NUM
ejpam-6295	124	88	0.5755	0.5755	NUM
ejpam-6295	124	89	0.6714	0.6714	NUM
ejpam-6295	124	90	0.0588	0.0588	NUM
ejpam-6295	124	91	0.0176	0.0176	NUM
ejpam-6295	124	92	0.0331	0.0331	NUM
ejpam-6295	124	93	0.0733	0.0733	NUM
ejpam-6295	124	94	0.0341	0.0341	NUM
ejpam-6295	124	95	0.0095	0.0095	NUM
ejpam-6295	124	96	0.0173	0.0173	NUM
ejpam-6295	124	97	0.0451	0.0451	NUM
ejpam-6295	124	98	20	20	NUM
ejpam-6295	124	99	0.6576	0.6576	NUM
ejpam-6295	124	100	0.5982	0.5982	NUM
ejpam-6295	124	101	0.6290	0.6290	NUM
ejpam-6295	124	102	0.6744	0.6744	NUM
ejpam-6295	124	103	20	20	NUM
ejpam-6295	124	104	0.6288	0.6288	NUM
ejpam-6295	124	105	0.5653	0.5653	NUM
ejpam-6295	124	106	0.5966	0.5966	NUM
ejpam-6295	124	107	0.6447	0.6447	NUM
ejpam-6295	124	108	0.0306	0.0306	NUM
ejpam-6295	124	109	0.0147	0.0147	NUM
ejpam-6295	124	110	0.0222	0.0222	NUM
ejpam-6295	124	111	0.0365	0.0365	NUM
ejpam-6295	124	112	0.0220	0.0220	NUM
ejpam-6295	124	113	0.0086	0.0086	NUM
ejpam-6295	124	114	0.0142	0.0142	NUM
ejpam-6295	124	115	0.0266	0.0266	NUM
ejpam-6295	124	116	30	30	NUM
ejpam-6295	124	117	0.6455	0.6455	NUM
ejpam-6295	124	118	0.6040	0.6040	NUM
ejpam-6295	124	119	0.6252	0.6252	NUM
ejpam-6295	124	120	0.6558	0.6558	NUM
ejpam-6295	124	121	30	30	NUM
ejpam-6295	124	122	0.6239	0.6239	NUM
ejpam-6295	124	123	0.5836	0.5836	NUM
ejpam-6295	124	124	0.6049	0.6049	NUM
ejpam-6295	124	125	0.6355	0.6355	NUM
ejpam-6295	124	126	0.0243	0.0243	NUM
ejpam-6295	124	127	0.0136	0.0136	NUM
ejpam-6295	124	128	0.0187	0.0187	NUM
ejpam-6295	124	129	0.0276	0.0276	NUM
ejpam-6295	124	130	0.0182	0.0182	NUM
ejpam-6295	124	131	0.0096	0.0096	NUM
ejpam-6295	124	132	0.0137	0.0137	NUM
ejpam-6295	124	133	0.0214	0.0214	NUM
ejpam-6295	124	134	40	40	NUM
ejpam-6295	124	135	0.6390	0.6390	NUM
ejpam-6295	124	136	0.6074	0.6074	NUM
ejpam-6295	124	137	0.6237	0.6237	NUM
ejpam-6295	125	1	0.6457	0.6457	NUM
ejpam-6295	125	2	40	40	NUM
ejpam-6295	125	3	0.6225	0.6225	NUM
ejpam-6295	125	4	0.5911	0.5911	NUM
ejpam-6295	125	5	0.6066	0.6066	NUM
ejpam-6295	125	6	0.6298	0.6298	NUM
ejpam-6295	126	1	0.0212	0.0212	NUM
ejpam-6295	126	2	0.0132	0.0132	NUM
ejpam-6295	126	3	0.0171	0.0171	NUM
ejpam-6295	126	4	0.0231	0.0231	NUM
ejpam-6295	126	5	0.0167	0.0167	NUM
ejpam-6295	126	6	0.0099	0.0099	NUM
ejpam-6295	126	7	0.0131	0.0131	NUM
ejpam-6295	126	8	0.0186	0.0186	NUM
ejpam-6295	126	9	50	50	NUM
ejpam-6295	126	10	0.6343	0.6343	NUM
ejpam-6295	126	11	0.6095	0.6095	NUM
ejpam-6295	126	12	0.6220	0.6220	NUM
ejpam-6295	126	13	0.6406	0.6406	NUM
ejpam-6295	126	14	50	50	NUM
ejpam-6295	126	15	0.6221	0.6221	NUM
ejpam-6295	126	16	0.5965	0.5965	NUM
ejpam-6295	126	17	0.6097	0.6097	NUM
ejpam-6295	126	18	0.6280	0.6280	NUM
ejpam-6295	126	19	0.0191	0.0191	NUM
ejpam-6295	126	20	0.0130	0.0130	NUM
ejpam-6295	126	21	0.0160	0.0160	NUM
ejpam-6295	126	22	0.0209	0.0209	NUM
ejpam-6295	126	23	0.0160	0.0160	NUM
ejpam-6295	126	24	0.0103	0.0103	NUM
ejpam-6295	126	25	0.0131	0.0131	NUM
ejpam-6295	126	26	0.0175	0.0175	NUM
ejpam-6295	126	27	table	table	NOUN
ejpam-6295	126	28	3	3	NUM
ejpam-6295	126	29	:	:	PUNCT
ejpam-6295	126	30	estimated	estimate	VERB
ejpam-6295	126	31	value	value	NOUN
ejpam-6295	126	32	and	and	CCONJ
ejpam-6295	126	33	mse	mse	NOUN
ejpam-6295	126	34	under	under	ADP
ejpam-6295	126	35	uniform	uniform	NOUN
ejpam-6295	126	36	and	and	CCONJ
ejpam-6295	126	37	jeffery	jeffery	PROPN
ejpam-6295	126	38	priors	priors	PROPN
ejpam-6295	126	39	uniform	uniform	PROPN
ejpam-6295	126	40	prior	prior	ADV
ejpam-6295	126	41	,	,	PUNCT
ejpam-6295	126	42	when	when	SCONJ
ejpam-6295	126	43	jeffery	jeffery	PROPN
ejpam-6295	126	44	’s	’s	PART
ejpam-6295	126	45	prior	prior	ADV
ejpam-6295	126	46	,	,	PUNCT
ejpam-6295	126	47	when	when	SCONJ
ejpam-6295	126	48	n	n	PROPN
ejpam-6295	126	49	=	=	SYM
ejpam-6295	126	50	50	50	NUM
ejpam-6295	126	51	,	,	PUNCT
ejpam-6295	126	52	α	α	NOUN
ejpam-6295	126	53	=	=	SYM
ejpam-6295	126	54	1.5	1.5	NUM
ejpam-6295	126	55	,	,	PUNCT
ejpam-6295	126	56	β	β	X
ejpam-6295	126	57	=	=	SYM
ejpam-6295	126	58	1.0	1.0	NUM
ejpam-6295	126	59	,	,	PUNCT
ejpam-6295	126	60	λ	λ	X
ejpam-6295	126	61	=	=	SYM
ejpam-6295	126	62	0.5	0.5	NUM
ejpam-6295	126	63	n	n	NOUN
ejpam-6295	126	64	=	=	SYM
ejpam-6295	126	65	50	50	NUM
ejpam-6295	126	66	,	,	PUNCT
ejpam-6295	126	67	α	α	NOUN
ejpam-6295	126	68	=	=	SYM
ejpam-6295	126	69	1.5	1.5	NUM
ejpam-6295	126	70	,	,	PUNCT
ejpam-6295	126	71	β	β	X
ejpam-6295	126	72	=	=	SYM
ejpam-6295	126	73	1.0	1.0	NUM
ejpam-6295	126	74	,	,	PUNCT
ejpam-6295	126	75	λ	λ	X
ejpam-6295	126	76	=	=	SYM
ejpam-6295	126	77	0.5	0.5	NUM
ejpam-6295	126	78	θ	θ	PROPN
ejpam-6295	126	79	self	self	NOUN
ejpam-6295	126	80	qelf	qelf	NOUN
ejpam-6295	126	81	welf	welf	NOUN
ejpam-6295	126	82	pelf	pelf	NOUN
ejpam-6295	126	83	θ	θ	PROPN
ejpam-6295	126	84	self	self	NOUN
ejpam-6295	126	85	qelf	qelf	NOUN
ejpam-6295	126	86	welf	welf	NOUN
ejpam-6295	126	87	pelf	pelf	NOUN
ejpam-6295	126	88	0.5	0.5	NUM
ejpam-6295	126	89	0.5092	0.5092	NUM
ejpam-6295	126	90	0.5006	0.5006	NUM
ejpam-6295	126	91	0.5060	0.5060	NUM
ejpam-6295	126	92	0.5124	0.5124	NUM
ejpam-6295	126	93	1.5	1.5	NUM
ejpam-6295	126	94	1.5143	1.5143	NUM
ejpam-6295	126	95	1.4853	1.4853	NUM
ejpam-6295	126	96	1.4985	1.4985	NUM
ejpam-6295	126	97	1.5247	1.5247	NUM
ejpam-6295	126	98	0.0027	0.0027	NUM
ejpam-6295	126	99	0.0025	0.0025	NUM
ejpam-6295	126	100	0.0026	0.0026	NUM
ejpam-6295	126	101	0.0029	0.0029	NUM
ejpam-6295	126	102	1.0515	1.0515	NUM
ejpam-6295	126	103	0.9929	0.9929	NUM
ejpam-6295	126	104	1.0196	1.0196	NUM
ejpam-6295	126	105	1.0732	1.0732	NUM
ejpam-6295	126	106	1.5	1.5	NUM
ejpam-6295	126	107	1.5303	1.5303	NUM
ejpam-6295	126	108	1.4993	1.4993	NUM
ejpam-6295	126	109	1.5149	1.5149	NUM
ejpam-6295	126	110	1.5360	1.5360	NUM
ejpam-6295	126	111	2.5	2.5	NUM
ejpam-6295	126	112	2.5214	2.5214	NUM
ejpam-6295	126	113	2.4706	2.4706	NUM
ejpam-6295	127	1	2.5057	2.5057	NUM
ejpam-6295	127	2	2.5343	2.5343	NUM
ejpam-6295	127	3	1.0852	1.0852	NUM
ejpam-6295	127	4	1.0212	1.0212	NUM
ejpam-6295	127	5	1.0541	1.0541	NUM
ejpam-6295	127	6	1.0968	1.0968	NUM
ejpam-6295	127	7	4.1497	4.1497	NUM
ejpam-6295	127	8	3.9441	3.9441	NUM
ejpam-6295	127	9	4.0864	4.0864	NUM
ejpam-6295	127	10	4.2042	4.2042	NUM
ejpam-6295	127	11	2.5	2.5	NUM
ejpam-6295	127	12	2.5473	2.5473	NUM
ejpam-6295	127	13	2.5050	2.5050	NUM
ejpam-6295	127	14	2.5202	2.5202	NUM
ejpam-6295	127	15	2.5605	2.5605	NUM
ejpam-6295	127	16	3.5	3.5	NUM
ejpam-6295	127	17	3.5350	3.5350	NUM
ejpam-6295	127	18	3.4562	3.4562	NUM
ejpam-6295	127	19	3.5074	3.5074	NUM
ejpam-6295	127	20	3.5508	3.5508	NUM
ejpam-6295	127	21	4.2569	4.2569	NUM
ejpam-6295	127	22	4.0851	4.0851	NUM
ejpam-6295	127	23	4.1461	4.1461	NUM
ejpam-6295	127	24	4.3124	4.3124	NUM
ejpam-6295	127	25	9.3372	9.3372	NUM
ejpam-6295	127	26	8.8572	8.8572	NUM
ejpam-6295	127	27	9.1747	9.1747	NUM
ejpam-6295	127	28	9.4351	9.4351	NUM
ejpam-6295	127	29	3.5	3.5	NUM
ejpam-6295	127	30	3.5702	3.5702	NUM
ejpam-6295	127	31	3.4924	3.4924	NUM
ejpam-6295	127	32	3.5343	3.5343	NUM
ejpam-6295	127	33	3.5895	3.5895	NUM
ejpam-6295	127	34	4.5	4.5	NUM
ejpam-6295	127	35	4.5520	4.5520	NUM
ejpam-6295	127	36	4.4474	4.4474	NUM
ejpam-6295	127	37	4.5057	4.5057	NUM
ejpam-6295	127	38	4.5817	4.5817	NUM
ejpam-6295	127	39	9.5584	9.5584	NUM
ejpam-6295	127	40	9.0796	9.0796	NUM
ejpam-6295	127	41	9.3410	9.3410	NUM
ejpam-6295	127	42	9.6821	9.6821	NUM
ejpam-6295	127	43	16.6341	16.6341	NUM
ejpam-6295	127	44	15.7817	15.7817	NUM
ejpam-6295	127	45	16.2528	16.2528	NUM
ejpam-6295	127	46	16.8798	16.8798	NUM
ejpam-6295	127	47	4.5	4.5	NUM
ejpam-6295	127	48	4.5915	4.5915	NUM
ejpam-6295	127	49	4.5126	4.5126	NUM
ejpam-6295	127	50	0.5050	0.5050	NUM
ejpam-6295	127	51	4.6059	4.6059	NUM
ejpam-6295	127	52	5.5	5.5	NUM
ejpam-6295	127	53	5.5583	5.5583	NUM
ejpam-6295	127	54	5.4544	5.4544	NUM
ejpam-6295	127	55	5.5171	5.5171	NUM
ejpam-6295	127	56	5.5846	5.5846	NUM
ejpam-6295	127	57	16.9504	16.9504	NUM
ejpam-6295	127	58	16.3146	16.3146	NUM
ejpam-6295	127	59	0.0026	0.0026	NUM
ejpam-6295	127	60	17.0719	17.0719	NUM
ejpam-6295	127	61	25.8990	25.8990	NUM
ejpam-6295	127	62	24.8465	24.8465	NUM
ejpam-6295	127	63	25.4738	25.4738	NUM
ejpam-6295	127	64	26.1739	26.1739	NUM
ejpam-6295	127	65	6	6	NUM
ejpam-6295	127	66	.	.	PUNCT
ejpam-6295	127	67	conclusion	conclusion	NOUN
ejpam-6295	127	68	in	in	ADP
ejpam-6295	127	69	this	this	DET
ejpam-6295	127	70	paper	paper	NOUN
ejpam-6295	127	71	,	,	PUNCT
ejpam-6295	127	72	we	we	PRON
ejpam-6295	127	73	developed	develop	VERB
ejpam-6295	127	74	a	a	DET
ejpam-6295	127	75	bayesian	bayesian	NOUN
ejpam-6295	127	76	framework	framework	NOUN
ejpam-6295	127	77	for	for	ADP
ejpam-6295	127	78	estimating	estimate	VERB
ejpam-6295	127	79	lprd(t	lprd(t	ADJ
ejpam-6295	127	80	-	-	PUNCT
ejpam-6295	127	81	x	x	NOUN
ejpam-6295	127	82	)	)	PUNCT
ejpam-6295	127	83	distribution	distribution	NOUN
ejpam-6295	127	84	parameters	parameter	NOUN
ejpam-6295	127	85	under	under	ADP
ejpam-6295	127	86	various	various	ADJ
ejpam-6295	127	87	loss	loss	NOUN
ejpam-6295	127	88	functions	function	NOUN
ejpam-6295	127	89	.	.	PUNCT
ejpam-6295	128	1	simulation	simulation	NOUN
ejpam-6295	128	2	and	and	CCONJ
ejpam-6295	128	3	real	real	ADJ
ejpam-6295	128	4	data	datum	NOUN
ejpam-6295	128	5	set	set	VERB
ejpam-6295	128	6	results	result	NOUN
ejpam-6295	128	7	confirm	confirm	VERB
ejpam-6295	128	8	dominancy	dominancy	NOUN
ejpam-6295	128	9	of	of	ADP
ejpam-6295	128	10	the	the	DET
ejpam-6295	128	11	quadratic	quadratic	ADJ
ejpam-6295	128	12	loss	loss	NOUN
ejpam-6295	128	13	function	function	NOUN
ejpam-6295	128	14	over	over	ADP
ejpam-6295	128	15	others	other	NOUN
ejpam-6295	128	16	.	.	PUNCT
ejpam-6295	129	1	moreover	moreover	ADV
ejpam-6295	129	2	,	,	PUNCT
ejpam-6295	129	3	when	when	SCONJ
ejpam-6295	129	4	the	the	DET
ejpam-6295	129	5	sample	sample	NOUN
ejpam-6295	129	6	size	size	NOUN
ejpam-6295	129	7	increases	increase	NOUN
ejpam-6295	129	8	,	,	PUNCT
ejpam-6295	129	9	the	the	DET
ejpam-6295	129	10	mse	mse	NOUN
ejpam-6295	129	11	of	of	ADP
ejpam-6295	129	12	the	the	DET
ejpam-6295	129	13	welf	welf	NOUN
ejpam-6295	129	14	tends	tend	VERB
ejpam-6295	129	15	to	to	ADP
ejpam-6295	129	16	the	the	DET
ejpam-6295	129	17	mse	mse	NOUN
ejpam-6295	129	18	of	of	ADP
ejpam-6295	129	19	qelf	qelf	PRON
ejpam-6295	129	20	.	.	PUNCT
ejpam-6295	130	1	hence	hence	ADV
ejpam-6295	130	2	,	,	PUNCT
ejpam-6295	130	3	it	it	PRON
ejpam-6295	130	4	can	can	AUX
ejpam-6295	130	5	be	be	AUX
ejpam-6295	130	6	claimed	claim	VERB
ejpam-6295	130	7	that	that	SCONJ
ejpam-6295	130	8	when	when	SCONJ
ejpam-6295	130	9	we	we	PRON
ejpam-6295	130	10	choose	choose	VERB
ejpam-6295	130	11	such	such	ADJ
ejpam-6295	130	12	priors	prior	NOUN
ejpam-6295	130	13	for	for	ADP
ejpam-6295	130	14	the	the	DET
ejpam-6295	130	15	lprd(t	lprd(t	ADJ
ejpam-6295	130	16	-	-	PUNCT
ejpam-6295	130	17	x	x	NOUN
ejpam-6295	130	18	)	)	PUNCT
ejpam-6295	130	19	distribution	distribution	NOUN
ejpam-6295	130	20	,	,	PUNCT
ejpam-6295	130	21	the	the	DET
ejpam-6295	130	22	estimates	estimate	NOUN
ejpam-6295	130	23	of	of	ADP
ejpam-6295	130	24	qelf	qelf	PRON
ejpam-6295	130	25	are	be	AUX
ejpam-6295	130	26	preferable	preferable	ADJ
ejpam-6295	130	27	as	as	SCONJ
ejpam-6295	130	28	compared	compare	VERB
ejpam-6295	130	29	to	to	ADP
ejpam-6295	130	30	others	other	NOUN
ejpam-6295	130	31	.	.	PUNCT
ejpam-6295	131	1	future	future	ADJ
ejpam-6295	131	2	research	research	NOUN
ejpam-6295	131	3	could	could	AUX
ejpam-6295	131	4	explore	explore	VERB
ejpam-6295	131	5	bayesian	bayesian	NOUN
ejpam-6295	131	6	predictive	predictive	ADJ
ejpam-6295	131	7	modeling	modeling	NOUN
ejpam-6295	131	8	and	and	CCONJ
ejpam-6295	131	9	real	real	ADJ
ejpam-6295	131	10	-	-	PUNCT
ejpam-6295	131	11	time	time	NOUN
ejpam-6295	131	12	inference	inference	NOUN
ejpam-6295	131	13	using	use	VERB
ejpam-6295	131	14	this	this	DET
ejpam-6295	131	15	distribution	distribution	NOUN
ejpam-6295	131	16	in	in	ADP
ejpam-6295	131	17	engineering	engineering	NOUN
ejpam-6295	131	18	and	and	CCONJ
ejpam-6295	131	19	medical	medical	ADJ
ejpam-6295	131	20	survival	survival	NOUN
ejpam-6295	131	21	datasets	dataset	NOUN
ejpam-6295	131	22	.	.	PUNCT
ejpam-6295	132	1	muhammad	muhammad	PROPN
ejpam-6295	132	2	ijaz	ijaz	PROPN
ejpam-6295	132	3	et	et	PROPN
ejpam-6295	132	4	al	al	PROPN
ejpam-6295	132	5	.	.	PUNCT
ejpam-6295	132	6	/	/	SYM
ejpam-6295	132	7	eur	eur	PROPN
ejpam-6295	132	8	.	.	PUNCT
ejpam-6295	133	1	j.	j.	PROPN
ejpam-6295	133	2	pure	pure	PROPN
ejpam-6295	133	3	appl	appl	PROPN
ejpam-6295	133	4	.	.	PROPN
ejpam-6295	133	5	math	math	PROPN
ejpam-6295	133	6	,	,	PUNCT
ejpam-6295	133	7	18	18	NUM
ejpam-6295	133	8	(	(	PUNCT
ejpam-6295	133	9	3	3	NUM
ejpam-6295	133	10	)	)	PUNCT
ejpam-6295	133	11	(	(	PUNCT
ejpam-6295	133	12	2025	2025	NUM
ejpam-6295	133	13	)	)	PUNCT
ejpam-6295	133	14	,	,	PUNCT
ejpam-6295	133	15	6295	6295	NUM
ejpam-6295	133	16	11	11	NUM
ejpam-6295	133	17	of	of	ADP
ejpam-6295	133	18	12	12	NUM
ejpam-6295	133	19	table	table	NOUN
ejpam-6295	133	20	4	4	NUM
ejpam-6295	133	21	:	:	PUNCT
ejpam-6295	133	22	estimated	estimate	VERB
ejpam-6295	133	23	value	value	NOUN
ejpam-6295	133	24	and	and	CCONJ
ejpam-6295	133	25	mse	mse	NOUN
ejpam-6295	133	26	under	under	ADP
ejpam-6295	133	27	uniform	uniform	NOUN
ejpam-6295	133	28	and	and	CCONJ
ejpam-6295	133	29	jeffery	jeffery	PROPN
ejpam-6295	133	30	priors	priors	PROPN
ejpam-6295	133	31	uniform	uniform	PROPN
ejpam-6295	133	32	prior	prior	ADV
ejpam-6295	133	33	,	,	PUNCT
ejpam-6295	133	34	when	when	SCONJ
ejpam-6295	133	35	jeffery	jeffery	PROPN
ejpam-6295	133	36	’s	’s	PART
ejpam-6295	133	37	prior	prior	ADV
ejpam-6295	133	38	,	,	PUNCT
ejpam-6295	133	39	when	when	SCONJ
ejpam-6295	133	40	α	α	NOUN
ejpam-6295	133	41	=	=	SYM
ejpam-6295	133	42	1.5	1.5	NUM
ejpam-6295	133	43	,	,	PUNCT
ejpam-6295	133	44	β	β	X
ejpam-6295	133	45	=	=	SYM
ejpam-6295	133	46	1.0	1.0	NUM
ejpam-6295	133	47	,	,	PUNCT
ejpam-6295	133	48	λ	λ	X
ejpam-6295	133	49	=	=	NOUN
ejpam-6295	133	50	0.5	0.5	NUM
ejpam-6295	133	51	,	,	PUNCT
ejpam-6295	133	52	θ	θ	X
ejpam-6295	133	53	=	=	PUNCT
ejpam-6295	133	54	0.8	0.8	NUM
ejpam-6295	133	55	α	α	NOUN
ejpam-6295	133	56	=	=	SYM
ejpam-6295	133	57	1.5	1.5	NUM
ejpam-6295	133	58	,	,	PUNCT
ejpam-6295	133	59	β	β	X
ejpam-6295	133	60	=	=	SYM
ejpam-6295	133	61	1.0	1.0	NUM
ejpam-6295	133	62	,	,	PUNCT
ejpam-6295	133	63	λ	λ	X
ejpam-6295	133	64	=	=	NOUN
ejpam-6295	133	65	0.5	0.5	NUM
ejpam-6295	133	66	,	,	PUNCT
ejpam-6295	133	67	θ	θ	NOUN
ejpam-6295	133	68	=	=	SYM
ejpam-6295	133	69	0.5	0.5	NUM
ejpam-6295	133	70	n	n	PRON
ejpam-6295	133	71	self	self	NOUN
ejpam-6295	133	72	qelf	qelf	NOUN
ejpam-6295	133	73	welf	welf	NOUN
ejpam-6295	133	74	pelf	pelf	NOUN
ejpam-6295	133	75	n	n	PRON
ejpam-6295	133	76	self	self	NOUN
ejpam-6295	133	77	qelf	qelf	NOUN
ejpam-6295	133	78	welf	welf	NOUN
ejpam-6295	133	79	pelf	pelf	NOUN
ejpam-6295	133	80	10	10	NUM
ejpam-6295	133	81	0.9814	0.9814	NUM
ejpam-6295	133	82	0.7967	0.7967	NUM
ejpam-6295	133	83	0.8827	0.8827	NUM
ejpam-6295	133	84	1.0219	1.0219	NUM
ejpam-6295	133	85	10	10	NUM
ejpam-6295	133	86	0.5553	0.5553	NUM
ejpam-6295	134	1	0.4460	0.4460	NUM
ejpam-6295	134	2	0.4979	0.4979	NUM
ejpam-6295	134	3	0.5888	0.5888	NUM
ejpam-6295	134	4	0.3482	0.3482	NUM
ejpam-6295	134	5	0.1689	0.1689	NUM
ejpam-6295	134	6	0.2427	0.2427	NUM
ejpam-6295	134	7	0.4050	0.4050	NUM
ejpam-6295	134	8	0.0400	0.0400	NUM
ejpam-6295	135	1	0.0277	0.0277	NUM
ejpam-6295	135	2	0.0320	0.0320	NUM
ejpam-6295	135	3	0.0529	0.0529	NUM
ejpam-6295	135	4	20	20	NUM
ejpam-6295	135	5	0.8835	0.8835	NUM
ejpam-6295	135	6	0.8008	0.8008	NUM
ejpam-6295	135	7	0.8417	0.8417	NUM
ejpam-6295	135	8	0.9091	0.9091	NUM
ejpam-6295	135	9	20	20	NUM
ejpam-6295	135	10	0.5257	0.5257	NUM
ejpam-6295	135	11	0.4748	0.4748	NUM
ejpam-6295	135	12	0.5012	0.5012	NUM
ejpam-6295	135	13	0.5385	0.5385	NUM
ejpam-6295	135	14	0.1911	0.1911	NUM
ejpam-6295	135	15	0.1244	0.1244	NUM
ejpam-6295	135	16	0.1568	0.1568	NUM
ejpam-6295	135	17	0.2144	0.2144	NUM
ejpam-6295	135	18	0.0160	0.0160	NUM
ejpam-6295	135	19	0.0131	0.0131	NUM
ejpam-6295	135	20	0.0137	0.0137	NUM
ejpam-6295	135	21	0.0174	0.0174	NUM
ejpam-6295	135	22	30	30	NUM
ejpam-6295	135	23	0.8540	0.8540	NUM
ejpam-6295	135	24	0.7981	0.7981	NUM
ejpam-6295	135	25	0.8297	0.8297	NUM
ejpam-6295	135	26	0.8644	0.8644	NUM
ejpam-6295	135	27	30	30	NUM
ejpam-6295	135	28	0.5184	0.5184	NUM
ejpam-6295	135	29	0.4827	0.4827	NUM
ejpam-6295	135	30	0.4990	0.4990	NUM
ejpam-6295	135	31	0.5270	0.5270	NUM
ejpam-6295	135	32	0.1516	0.1516	NUM
ejpam-6295	135	33	0.1122	0.1122	NUM
ejpam-6295	135	34	0.1338	0.1338	NUM
ejpam-6295	135	35	0.1587	0.1587	PROPN
ejpam-6295	135	36	0.0101	0.0101	NUM
ejpam-6295	135	37	0.0086	0.0086	NUM
ejpam-6295	135	38	0.0088	0.0088	NUM
ejpam-6295	135	39	0.0106	0.0106	NUM
ejpam-6295	135	40	40	40	NUM
ejpam-6295	135	41	0.8406	0.8406	NUM
ejpam-6295	135	42	0.8034	0.8034	NUM
ejpam-6295	135	43	0.8221	0.8221	NUM
ejpam-6295	135	44	0.8550	0.8550	NUM
ejpam-6295	135	45	40	40	NUM
ejpam-6295	135	46	0.5129	0.5129	NUM
ejpam-6295	135	47	0.4859	0.4859	NUM
ejpam-6295	136	1	0.4988	0.4988	NUM
ejpam-6295	136	2	0.5184	0.5184	NUM
ejpam-6295	136	3	0.1342	0.1342	NUM
ejpam-6295	136	4	0.1098	0.1098	NUM
ejpam-6295	136	5	0.1214	0.1214	NUM
ejpam-6295	136	6	0.1465	0.1465	NUM
ejpam-6295	136	7	0.0071	0.0071	NUM
ejpam-6295	136	8	0.0064	0.0064	NUM
ejpam-6295	136	9	0.0064	0.0064	NUM
ejpam-6295	136	10	0.0074	0.0074	NUM
ejpam-6295	136	11	50	50	NUM
ejpam-6295	136	12	0.8320	0.8320	NUM
ejpam-6295	136	13	0.7993	0.7993	NUM
ejpam-6295	136	14	0.8156	0.8156	NUM
ejpam-6295	136	15	0.8394	0.8394	NUM
ejpam-6295	136	16	50	50	NUM
ejpam-6295	136	17	0.5111	0.5111	NUM
ejpam-6295	136	18	0.4904	0.4904	NUM
ejpam-6295	136	19	0.5008	0.5008	NUM
ejpam-6295	136	20	0.5146	0.5146	NUM
ejpam-6295	136	21	0.1244	0.1244	NUM
ejpam-6295	136	22	0.1025	0.1025	NUM
ejpam-6295	136	23	0.1133	0.1133	NUM
ejpam-6295	136	24	0.1297	0.1297	NUM
ejpam-6295	136	25	0.0057	0.0057	NUM
ejpam-6295	136	26	0.0052	0.0052	NUM
ejpam-6295	136	27	0.0053	0.0053	NUM
ejpam-6295	136	28	0.0058	0.0058	NUM
ejpam-6295	136	29	figure	figure	NOUN
ejpam-6295	136	30	4	4	NUM
ejpam-6295	136	31	:	:	PUNCT
ejpam-6295	136	32	(	(	PUNCT
ejpam-6295	136	33	a	a	X
ejpam-6295	136	34	)	)	PUNCT
ejpam-6295	136	35	mse	mse	NOUN
ejpam-6295	136	36	under	under	ADP
ejpam-6295	136	37	a	a	DET
ejpam-6295	136	38	uniform	uniform	NOUN
ejpam-6295	136	39	prior	prior	ADV
ejpam-6295	136	40	;	;	PUNCT
ejpam-6295	136	41	(	(	PUNCT
ejpam-6295	136	42	b	b	X
ejpam-6295	136	43	)	)	PUNCT
ejpam-6295	136	44	mse	mse	NOUN
ejpam-6295	136	45	under	under	ADP
ejpam-6295	136	46	jeffery	jeffery	PROPN
ejpam-6295	136	47	prior	prior	ADJ
ejpam-6295	136	48	author	author	NOUN
ejpam-6295	136	49	contributions	contribution	NOUN
ejpam-6295	136	50	conceptualization	conceptualization	NOUN
ejpam-6295	136	51	,	,	PUNCT
ejpam-6295	136	52	methodology	methodology	NOUN
ejpam-6295	136	53	,	,	PUNCT
ejpam-6295	136	54	software	software	NOUN
ejpam-6295	136	55	,	,	PUNCT
ejpam-6295	136	56	validation	validation	NOUN
ejpam-6295	136	57	,	,	PUNCT
ejpam-6295	136	58	formal	formal	ADJ
ejpam-6295	136	59	analysis	analysis	NOUN
ejpam-6295	136	60	,	,	PUNCT
ejpam-6295	136	61	investigation	investigation	NOUN
ejpam-6295	136	62	,	,	PUNCT
ejpam-6295	136	63	resources	resource	NOUN
ejpam-6295	136	64	,	,	PUNCT
ejpam-6295	136	65	data	datum	NOUN
ejpam-6295	136	66	curation	curation	NOUN
ejpam-6295	136	67	,	,	PUNCT
ejpam-6295	136	68	writing	writing	NOUN
ejpam-6295	136	69	-	-	PUNCT
ejpam-6295	136	70	original	original	ADJ
ejpam-6295	136	71	draft	draft	NOUN
ejpam-6295	136	72	preparation	preparation	NOUN
ejpam-6295	136	73	,	,	PUNCT
ejpam-6295	136	74	writing	writing	NOUN
ejpam-6295	136	75	-	-	PUNCT
ejpam-6295	136	76	review	review	NOUN
ejpam-6295	136	77	and	and	CCONJ
ejpam-6295	136	78	editing	editing	NOUN
ejpam-6295	136	79	,	,	PUNCT
ejpam-6295	136	80	visualization	visualization	NOUN
ejpam-6295	136	81	,	,	PUNCT
ejpam-6295	136	82	supervision	supervision	NOUN
ejpam-6295	136	83	,	,	PUNCT
ejpam-6295	136	84	project	project	NOUN
ejpam-6295	136	85	administration	administration	NOUN
ejpam-6295	136	86	,	,	PUNCT
ejpam-6295	136	87	funding	funding	NOUN
ejpam-6295	136	88	acquisition	acquisition	NOUN
ejpam-6295	136	89	,	,	PUNCT
ejpam-6295	136	90	have	have	AUX
ejpam-6295	136	91	done	do	VERB
ejpam-6295	136	92	by	by	ADP
ejpam-6295	136	93	m.i	m.i	PROPN
ejpam-6295	136	94	.	.	PROPN
ejpam-6295	136	95	and	and	CCONJ
ejpam-6295	136	96	n.k	n.k	PROPN
ejpam-6295	136	97	.	.	PROPN
ejpam-6295	136	98	,	,	PUNCT
ejpam-6295	136	99	m.i.k	m.i.k	PROPN
ejpam-6295	136	100	.	.	PROPN
ejpam-6295	136	101	,	,	PUNCT
ejpam-6295	136	102	g.m	g.m	PROPN
ejpam-6295	136	103	.	.	PROPN
ejpam-6295	136	104	,	,	PUNCT
ejpam-6295	136	105	and	and	CCONJ
ejpam-6295	136	106	h.n.a	h.n.a	NOUN
ejpam-6295	136	107	.	.	PUNCT
ejpam-6295	137	1	all	all	DET
ejpam-6295	137	2	authors	author	NOUN
ejpam-6295	137	3	have	have	AUX
ejpam-6295	137	4	read	read	VERB
ejpam-6295	137	5	and	and	CCONJ
ejpam-6295	137	6	agreed	agree	VERB
ejpam-6295	137	7	to	to	ADP
ejpam-6295	137	8	the	the	DET
ejpam-6295	137	9	published	publish	VERB
ejpam-6295	137	10	version	version	NOUN
ejpam-6295	137	11	of	of	ADP
ejpam-6295	137	12	the	the	DET
ejpam-6295	137	13	manuscript	manuscript	NOUN
ejpam-6295	137	14	.	.	PUNCT
ejpam-6295	138	1	acknowledgements	acknowledgement	NOUN
ejpam-6295	138	2	the	the	DET
ejpam-6295	138	3	authors	author	NOUN
ejpam-6295	138	4	are	be	AUX
ejpam-6295	138	5	grateful	grateful	ADJ
ejpam-6295	138	6	to	to	ADP
ejpam-6295	138	7	anonymous	anonymous	ADJ
ejpam-6295	138	8	reviewers	reviewer	NOUN
ejpam-6295	138	9	whose	whose	DET
ejpam-6295	138	10	constructive	constructive	ADJ
ejpam-6295	138	11	comments	comment	NOUN
ejpam-6295	138	12	led	lead	VERB
ejpam-6295	138	13	to	to	ADP
ejpam-6295	138	14	improved	improved	ADJ
ejpam-6295	138	15	presentation	presentation	NOUN
ejpam-6295	138	16	of	of	ADP
ejpam-6295	138	17	the	the	DET
ejpam-6295	138	18	article	article	NOUN
ejpam-6295	138	19	.	.	PUNCT
ejpam-6295	139	1	muhammad	muhammad	PROPN
ejpam-6295	139	2	ijaz	ijaz	PROPN
ejpam-6295	139	3	et	et	PROPN
ejpam-6295	139	4	al	al	PROPN
ejpam-6295	139	5	.	.	PUNCT
ejpam-6295	139	6	/	/	SYM
ejpam-6295	139	7	eur	eur	PROPN
ejpam-6295	139	8	.	.	PUNCT
ejpam-6295	140	1	j.	j.	PROPN
ejpam-6295	140	2	pure	pure	PROPN
ejpam-6295	140	3	appl	appl	PROPN
ejpam-6295	140	4	.	.	PROPN
ejpam-6295	140	5	math	math	PROPN
ejpam-6295	140	6	,	,	PUNCT
ejpam-6295	140	7	18	18	NUM
ejpam-6295	140	8	(	(	PUNCT
ejpam-6295	140	9	3	3	NUM
ejpam-6295	140	10	)	)	PUNCT
ejpam-6295	140	11	(	(	PUNCT
ejpam-6295	140	12	2025	2025	NUM
ejpam-6295	140	13	)	)	PUNCT
ejpam-6295	140	14	,	,	PUNCT
ejpam-6295	140	15	6295	6295	NUM
ejpam-6295	140	16	12	12	NUM
ejpam-6295	140	17	of	of	ADP
ejpam-6295	140	18	12	12	NUM
ejpam-6295	140	19	references	reference	NOUN
ejpam-6295	140	20	[	[	X
ejpam-6295	140	21	1	1	NUM
ejpam-6295	140	22	]	]	PUNCT
ejpam-6295	140	23	e.	e.	PROPN
ejpam-6295	140	24	m.	m.	PROPN
ejpam-6295	141	1	almetwally	almetwally	ADV
ejpam-6295	141	2	,	,	PUNCT
ejpam-6295	141	3	m.	m.	NOUN
ejpam-6295	141	4	kilai	kilai	PROPN
ejpam-6295	141	5	,	,	PUNCT
ejpam-6295	141	6	and	and	CCONJ
ejpam-6295	141	7	r.	r.	PROPN
ejpam-6295	141	8	aldallal	aldallal	PROPN
ejpam-6295	141	9	.	.	PUNCT
ejpam-6295	142	1	the	the	DET
ejpam-6295	142	2	evolution	evolution	NOUN
ejpam-6295	142	3	of	of	ADP
ejpam-6295	142	4	fuzzy	fuzzy	ADJ
ejpam-6295	142	5	rules	rule	NOUN
ejpam-6295	142	6	in	in	ADP
ejpam-6295	142	7	two	two	NUM
ejpam-6295	142	8	-	-	PUNCT
ejpam-6295	142	9	player	player	NOUN
ejpam-6295	142	10	games	game	NOUN
ejpam-6295	142	11	.	.	PUNCT
ejpam-6295	143	1	southern	southern	ADJ
ejpam-6295	143	2	economic	economic	ADJ
ejpam-6295	143	3	journal	journal	NOUN
ejpam-6295	143	4	,	,	PUNCT
ejpam-6295	143	5	1(1):129–140	1(1):129–140	NUM
ejpam-6295	143	6	,	,	PUNCT
ejpam-6295	143	7	2022	2022	NUM
ejpam-6295	143	8	.	.	PUNCT
ejpam-6295	144	1	[	[	X
ejpam-6295	144	2	2	2	NUM
ejpam-6295	144	3	]	]	PUNCT
ejpam-6295	144	4	a.	a.	NOUN
ejpam-6295	144	5	s.	s.	PROPN
ejpam-6295	144	6	hassan	hassan	PROPN
ejpam-6295	144	7	and	and	CCONJ
ejpam-6295	144	8	m.	m.	PROPN
ejpam-6295	144	9	abd	abd	PROPN
ejpam-6295	144	10	-	-	PUNCT
ejpam-6295	144	11	allah	allah	PROPN
ejpam-6295	144	12	.	.	PUNCT
ejpam-6295	145	1	on	on	ADP
ejpam-6295	145	2	the	the	DET
ejpam-6295	145	3	inverse	inverse	NOUN
ejpam-6295	145	4	power	power	NOUN
ejpam-6295	145	5	lomax	lomax	PROPN
ejpam-6295	145	6	distribution	distribution	NOUN
ejpam-6295	145	7	.	.	PUNCT
ejpam-6295	146	1	annals	annal	NOUN
ejpam-6295	146	2	of	of	ADP
ejpam-6295	146	3	data	data	NOUN
ejpam-6295	146	4	science	science	NOUN
ejpam-6295	146	5	,	,	PUNCT
ejpam-6295	146	6	6:259–278	6:259–278	PROPN
ejpam-6295	146	7	,	,	PUNCT
ejpam-6295	146	8	2019	2019	NUM
ejpam-6295	146	9	.	.	PUNCT
ejpam-6295	147	1	[	[	X
ejpam-6295	147	2	3	3	X
ejpam-6295	147	3	]	]	PUNCT
ejpam-6295	147	4	s.	s.	PROPN
ejpam-6295	147	5	q.	q.	PROPN
ejpam-6295	147	6	u.	u.	PROPN
ejpam-6295	147	7	ain	ain	PROPN
ejpam-6295	147	8	,	,	PUNCT
ejpam-6295	147	9	k.	k.	PROPN
ejpam-6295	147	10	u.	u.	PROPN
ejpam-6295	147	11	i.	i.	PROPN
ejpam-6295	147	12	rather	rather	ADV
ejpam-6295	147	13	,	,	PUNCT
ejpam-6295	147	14	and	and	CCONJ
ejpam-6295	147	15	r.	r.	PROPN
ejpam-6295	147	16	tripathi	tripathi	PROPN
ejpam-6295	147	17	.	.	PUNCT
ejpam-6295	148	1	lomax	lomax	PROPN
ejpam-6295	148	2	-	-	PUNCT
ejpam-6295	148	3	power	power	PROPN
ejpam-6295	148	4	rayleigh	rayleigh	PROPN
ejpam-6295	148	5	(	(	PUNCT
ejpam-6295	148	6	tx	tx	PROPN
ejpam-6295	148	7	)	)	PUNCT
ejpam-6295	148	8	distribution	distribution	NOUN
ejpam-6295	148	9	,	,	PUNCT
ejpam-6295	148	10	structural	structural	ADJ
ejpam-6295	148	11	properties	property	NOUN
ejpam-6295	148	12	and	and	CCONJ
ejpam-6295	148	13	applications	application	NOUN
ejpam-6295	148	14	in	in	ADP
ejpam-6295	148	15	biological	biological	ADJ
ejpam-6295	148	16	sciences	science	NOUN
ejpam-6295	148	17	.	.	PUNCT
ejpam-6295	149	1	pakistan	pakistan	PROPN
ejpam-6295	149	2	journal	journal	PROPN
ejpam-6295	149	3	of	of	ADP
ejpam-6295	149	4	statistics	statistic	NOUN
ejpam-6295	149	5	,	,	PUNCT
ejpam-6295	149	6	39(1):29–44	39(1):29–44	NUM
ejpam-6295	149	7	,	,	PUNCT
ejpam-6295	149	8	2023	2023	NUM
ejpam-6295	149	9	.	.	PUNCT
ejpam-6295	150	1	[	[	X
ejpam-6295	150	2	4	4	NUM
ejpam-6295	150	3	]	]	X
ejpam-6295	150	4	g.p	g.p	PROPN
ejpam-6295	150	5	.	.	PROPN
ejpam-6295	150	6	dhungana	dhungana	PROPN
ejpam-6295	150	7	and	and	CCONJ
ejpam-6295	150	8	v.	v.	ADP
ejpam-6295	150	9	kumar	kumar	PROPN
ejpam-6295	150	10	.	.	PUNCT
ejpam-6295	150	11	exponentiated	exponentiate	VERB
ejpam-6295	150	12	odd	odd	ADJ
ejpam-6295	150	13	lomax	lomax	PROPN
ejpam-6295	150	14	exponential	exponential	ADJ
ejpam-6295	150	15	distribution	distribution	NOUN
ejpam-6295	150	16	with	with	ADP
ejpam-6295	150	17	application	application	NOUN
ejpam-6295	150	18	to	to	ADP
ejpam-6295	150	19	covid-19	covid-19	PROPN
ejpam-6295	150	20	death	death	NOUN
ejpam-6295	150	21	cases	case	NOUN
ejpam-6295	150	22	of	of	ADP
ejpam-6295	150	23	nepal	nepal	NOUN
ejpam-6295	150	24	.	.	PUNCT
ejpam-6295	151	1	plos	plos	PROPN
ejpam-6295	151	2	one	one	NUM
ejpam-6295	151	3	,	,	PUNCT
ejpam-6295	151	4	17(6):e0269450	17(6):e0269450	NOUN
ejpam-6295	151	5	,	,	PUNCT
ejpam-6295	151	6	2022	2022	NUM
ejpam-6295	151	7	.	.	PUNCT
ejpam-6295	152	1	[	[	X
ejpam-6295	152	2	5	5	NUM
ejpam-6295	152	3	]	]	X
ejpam-6295	152	4	m.s	m.s	PROPN
ejpam-6295	152	5	.	.	PROPN
ejpam-6295	152	6	hamed	hamed	PROPN
ejpam-6295	152	7	,	,	PUNCT
ejpam-6295	152	8	g.m	g.m	PROPN
ejpam-6295	152	9	.	.	PUNCT
ejpam-6295	152	10	cordeiro	cordeiro	PROPN
ejpam-6295	152	11	,	,	PUNCT
ejpam-6295	152	12	and	and	CCONJ
ejpam-6295	152	13	h.m	h.m	PROPN
ejpam-6295	152	14	.	.	PROPN
ejpam-6295	152	15	yousof	yousof	PROPN
ejpam-6295	152	16	.	.	PUNCT
ejpam-6295	153	1	a	a	DET
ejpam-6295	153	2	new	new	ADJ
ejpam-6295	153	3	compound	compound	NOUN
ejpam-6295	153	4	lomax	lomax	PROPN
ejpam-6295	153	5	model	model	PROPN
ejpam-6295	153	6	:	:	PUNCT
ejpam-6295	153	7	properties	property	NOUN
ejpam-6295	153	8	,	,	PUNCT
ejpam-6295	153	9	copulas	copula	NOUN
ejpam-6295	153	10	,	,	PUNCT
ejpam-6295	153	11	modeling	modeling	NOUN
ejpam-6295	153	12	and	and	CCONJ
ejpam-6295	153	13	risk	risk	NOUN
ejpam-6295	153	14	analysis	analysis	NOUN
ejpam-6295	153	15	utilizing	utilize	VERB
ejpam-6295	153	16	the	the	DET
ejpam-6295	153	17	negatively	negatively	ADV
ejpam-6295	153	18	skewed	skewed	ADJ
ejpam-6295	153	19	insurance	insurance	NOUN
ejpam-6295	153	20	claims	claim	NOUN
ejpam-6295	153	21	data	datum	NOUN
ejpam-6295	153	22	.	.	PUNCT
ejpam-6295	154	1	pakistan	pakistan	PROPN
ejpam-6295	154	2	journal	journal	PROPN
ejpam-6295	154	3	of	of	ADP
ejpam-6295	154	4	statistics	statistic	NOUN
ejpam-6295	154	5	and	and	CCONJ
ejpam-6295	154	6	operation	operation	NOUN
ejpam-6295	154	7	research	research	NOUN
ejpam-6295	154	8	,	,	PUNCT
ejpam-6295	154	9	18(3):601–631	18(3):601–631	PROPN
ejpam-6295	154	10	,	,	PUNCT
ejpam-6295	154	11	2022	2022	NUM
ejpam-6295	154	12	.	.	PUNCT
ejpam-6295	155	1	[	[	X
ejpam-6295	155	2	6	6	NUM
ejpam-6295	155	3	]	]	X
ejpam-6295	155	4	e.h.a	e.h.a	ADJ
ejpam-6295	155	5	.	.	PUNCT
ejpam-6295	155	6	rady	rady	PROPN
ejpam-6295	155	7	,	,	PUNCT
ejpam-6295	155	8	w.a	w.a	PROPN
ejpam-6295	155	9	.	.	PROPN
ejpam-6295	155	10	hassanein	hassanein	PROPN
ejpam-6295	155	11	,	,	PUNCT
ejpam-6295	155	12	and	and	CCONJ
ejpam-6295	155	13	t.a	t.a	PROPN
ejpam-6295	155	14	.	.	PROPN
ejpam-6295	155	15	elhaddad	elhaddad	PROPN
ejpam-6295	155	16	.	.	PUNCT
ejpam-6295	156	1	the	the	DET
ejpam-6295	156	2	power	power	NOUN
ejpam-6295	156	3	lomax	lomax	PROPN
ejpam-6295	156	4	distribution	distribution	NOUN
ejpam-6295	156	5	with	with	ADP
ejpam-6295	156	6	an	an	DET
ejpam-6295	156	7	application	application	NOUN
ejpam-6295	156	8	to	to	ADP
ejpam-6295	156	9	bladder	bladder	NOUN
ejpam-6295	156	10	cancer	cancer	NOUN
ejpam-6295	156	11	data	data	PROPN
ejpam-6295	156	12	.	.	PUNCT
ejpam-6295	157	1	springerplus	springerplus	PROPN
ejpam-6295	157	2	,	,	PUNCT
ejpam-6295	157	3	5:1–22	5:1–22	NUM
ejpam-6295	157	4	,	,	PUNCT
ejpam-6295	157	5	2016	2016	NUM
ejpam-6295	157	6	.	.	PUNCT
ejpam-6295	158	1	[	[	X
ejpam-6295	158	2	7	7	X
ejpam-6295	158	3	]	]	X
ejpam-6295	158	4	m.a	m.a	PROPN
ejpam-6295	158	5	.	.	PROPN
ejpam-6295	158	6	ul	ul	PROPN
ejpam-6295	158	7	haq	haq	PROPN
ejpam-6295	158	8	,	,	PUNCT
ejpam-6295	158	9	g.s	g.s	PROPN
ejpam-6295	158	10	.	.	PROPN
ejpam-6295	158	11	rao	rao	PROPN
ejpam-6295	158	12	,	,	PUNCT
ejpam-6295	158	13	m.	m.	NOUN
ejpam-6295	158	14	albassam	albassam	PROPN
ejpam-6295	158	15	,	,	PUNCT
ejpam-6295	158	16	and	and	CCONJ
ejpam-6295	158	17	m.	m.	PROPN
ejpam-6295	158	18	aslam	aslam	PROPN
ejpam-6295	158	19	.	.	PUNCT
ejpam-6295	158	20	marshall	marshall	PROPN
ejpam-6295	158	21	–	–	PUNCT
ejpam-6295	158	22	olkin	olkin	NOUN
ejpam-6295	158	23	power	power	NOUN
ejpam-6295	158	24	lomax	lomax	NOUN
ejpam-6295	158	25	distribution	distribution	NOUN
ejpam-6295	158	26	for	for	ADP
ejpam-6295	158	27	modeling	modeling	NOUN
ejpam-6295	158	28	of	of	ADP
ejpam-6295	158	29	wind	wind	NOUN
ejpam-6295	158	30	speed	speed	NOUN
ejpam-6295	158	31	data	datum	NOUN
ejpam-6295	158	32	.	.	PUNCT
ejpam-6295	159	1	energy	energy	NOUN
ejpam-6295	159	2	reports	report	NOUN
ejpam-6295	159	3	,	,	PUNCT
ejpam-6295	159	4	6:1118–1123	6:1118–1123	NOUN
ejpam-6295	159	5	,	,	PUNCT
ejpam-6295	159	6	2020	2020	NUM
ejpam-6295	159	7	.	.	PUNCT
ejpam-6295	160	1	[	[	X
ejpam-6295	160	2	8	8	NUM
ejpam-6295	160	3	]	]	PUNCT
ejpam-6295	160	4	s.	s.	PROPN
ejpam-6295	160	5	al	al	PROPN
ejpam-6295	160	6	-	-	PUNCT
ejpam-6295	160	7	marzouki	marzouki	PROPN
ejpam-6295	160	8	,	,	PUNCT
ejpam-6295	160	9	f.	f.	PROPN
ejpam-6295	160	10	jamal	jamal	PROPN
ejpam-6295	160	11	,	,	PUNCT
ejpam-6295	160	12	c.	c.	PROPN
ejpam-6295	160	13	chesneau	chesneau	PROPN
ejpam-6295	160	14	,	,	PUNCT
ejpam-6295	160	15	and	and	CCONJ
ejpam-6295	160	16	m.	m.	NOUN
ejpam-6295	160	17	elgarhy	elgarhy	ADJ
ejpam-6295	160	18	.	.	PUNCT
ejpam-6295	161	1	type	type	NOUN
ejpam-6295	161	2	ii	ii	PROPN
ejpam-6295	161	3	topp	topp	PROPN
ejpam-6295	161	4	leone	leone	PROPN
ejpam-6295	161	5	power	power	NOUN
ejpam-6295	161	6	lomax	lomax	PROPN
ejpam-6295	161	7	distribution	distribution	NOUN
ejpam-6295	161	8	with	with	ADP
ejpam-6295	161	9	applications	application	NOUN
ejpam-6295	161	10	.	.	PUNCT
ejpam-6295	162	1	mathematics	mathematic	NOUN
ejpam-6295	162	2	,	,	PUNCT
ejpam-6295	162	3	8(1):4	8(1):4	NOUN
ejpam-6295	162	4	,	,	PUNCT
ejpam-6295	162	5	2010	2010	NUM
ejpam-6295	162	6	.	.	PUNCT
ejpam-6295	163	1	[	[	X
ejpam-6295	163	2	9	9	NUM
ejpam-6295	163	3	]	]	PUNCT
ejpam-6295	163	4	f.	f.	NOUN
ejpam-6295	163	5	ghaderinezhad	ghaderinezhad	PROPN
ejpam-6295	163	6	,	,	PUNCT
ejpam-6295	163	7	c.	c.	PROPN
ejpam-6295	163	8	ley	ley	PROPN
ejpam-6295	163	9	,	,	PUNCT
ejpam-6295	163	10	and	and	CCONJ
ejpam-6295	163	11	n.	n.	PROPN
ejpam-6295	163	12	loperfido	loperfido	PROPN
ejpam-6295	163	13	.	.	PUNCT
ejpam-6295	164	1	bayesian	bayesian	NOUN
ejpam-6295	164	2	inference	inference	NOUN
ejpam-6295	164	3	for	for	ADP
ejpam-6295	164	4	skew	skew	ADJ
ejpam-6295	164	5	-	-	PUNCT
ejpam-6295	164	6	symmetric	symmetric	ADJ
ejpam-6295	164	7	distributions	distribution	NOUN
ejpam-6295	164	8	.	.	PUNCT
ejpam-6295	165	1	symmetry	symmetry	NOUN
ejpam-6295	165	2	,	,	PUNCT
ejpam-6295	165	3	12(4):491	12(4):491	NUM
ejpam-6295	165	4	,	,	PUNCT
ejpam-6295	165	5	2020	2020	NUM
ejpam-6295	165	6	.	.	PUNCT
ejpam-6295	166	1	[	[	X
ejpam-6295	166	2	10	10	NUM
ejpam-6295	166	3	]	]	X
ejpam-6295	166	4	n.	n.	NOUN
ejpam-6295	166	5	alotaibi	alotaibi	PROPN
ejpam-6295	166	6	,	,	PUNCT
ejpam-6295	166	7	i.	i.	PROPN
ejpam-6295	166	8	elbatal	elbatal	PROPN
ejpam-6295	166	9	,	,	PUNCT
ejpam-6295	166	10	e.m	e.m	PROPN
ejpam-6295	166	11	.	.	PROPN
ejpam-6295	166	12	almetwally	almetwally	ADV
ejpam-6295	166	13	,	,	PUNCT
ejpam-6295	166	14	s.a	s.a	PROPN
ejpam-6295	166	15	.	.	PROPN
ejpam-6295	166	16	alyami	alyami	PROPN
ejpam-6295	166	17	,	,	PUNCT
ejpam-6295	166	18	a.s	a.s	PROPN
ejpam-6295	166	19	.	.	PROPN
ejpam-6295	166	20	al	al	PROPN
ejpam-6295	166	21	-	-	PUNCT
ejpam-6295	166	22	moisheer	moisheer	NOUN
ejpam-6295	166	23	,	,	PUNCT
ejpam-6295	166	24	and	and	CCONJ
ejpam-6295	166	25	m.	m.	NOUN
ejpam-6295	166	26	elgarhy	elgarhy	PROPN
ejpam-6295	166	27	.	.	PUNCT
ejpam-6295	167	1	truncated	truncate	VERB
ejpam-6295	167	2	cauchy	cauchy	PROPN
ejpam-6295	167	3	power	power	NOUN
ejpam-6295	167	4	weibull	weibull	PROPN
ejpam-6295	167	5	-	-	PUNCT
ejpam-6295	167	6	g	g	PROPN
ejpam-6295	167	7	class	class	NOUN
ejpam-6295	167	8	of	of	ADP
ejpam-6295	167	9	distributions	distribution	NOUN
ejpam-6295	167	10	:	:	PUNCT
ejpam-6295	167	11	bayesian	bayesian	NOUN
ejpam-6295	167	12	and	and	CCONJ
ejpam-6295	167	13	nonbayesian	nonbayesian	ADJ
ejpam-6295	167	14	inference	inference	NOUN
ejpam-6295	167	15	modelling	modelling	NOUN
ejpam-6295	167	16	for	for	ADP
ejpam-6295	167	17	covid-19	covid-19	PROPN
ejpam-6295	167	18	and	and	CCONJ
ejpam-6295	167	19	carbon	carbon	NOUN
ejpam-6295	167	20	fiber	fiber	NOUN
ejpam-6295	167	21	data	datum	NOUN
ejpam-6295	167	22	.	.	PUNCT
ejpam-6295	168	1	mathematics	mathematic	NOUN
ejpam-6295	168	2	,	,	PUNCT
ejpam-6295	168	3	10(9):1565	10(9):1565	NUM
ejpam-6295	168	4	,	,	PUNCT
ejpam-6295	168	5	2022	2022	NUM
ejpam-6295	168	6	.	.	PUNCT
ejpam-6295	169	1	[	[	X
ejpam-6295	169	2	11	11	NUM
ejpam-6295	169	3	]	]	X
ejpam-6295	169	4	a.j	a.j	PROPN
ejpam-6295	169	5	.	.	PROPN
ejpam-6295	169	6	lemonte	lemonte	PROPN
ejpam-6295	169	7	and	and	CCONJ
ejpam-6295	169	8	g.m	g.m	PROPN
ejpam-6295	169	9	.	.	PUNCT
ejpam-6295	169	10	cordeiro	cordeiro	PROPN
ejpam-6295	169	11	.	.	PUNCT
ejpam-6295	170	1	an	an	DET
ejpam-6295	170	2	extended	extended	ADJ
ejpam-6295	170	3	lomax	lomax	NOUN
ejpam-6295	170	4	distribution	distribution	NOUN
ejpam-6295	170	5	.	.	PUNCT
ejpam-6295	171	1	statistics	statistic	NOUN
ejpam-6295	171	2	,	,	PUNCT
ejpam-6295	171	3	47(4):800–816	47(4):800–816	PROPN
ejpam-6295	171	4	,	,	PUNCT
ejpam-6295	171	5	2013	2013	NUM
ejpam-6295	171	6	.	.	PUNCT
ejpam-6295	172	1	[	[	X
ejpam-6295	172	2	12	12	NUM
ejpam-6295	172	3	]	]	X
ejpam-6295	172	4	i.	i.	PROPN
ejpam-6295	172	5	muhammad	muhammad	PROPN
ejpam-6295	172	6	.	.	PUNCT
ejpam-6295	173	1	bayesian	bayesian	NOUN
ejpam-6295	173	2	estimation	estimation	NOUN
ejpam-6295	173	3	of	of	ADP
ejpam-6295	173	4	the	the	DET
ejpam-6295	173	5	shape	shape	NOUN
ejpam-6295	173	6	parameter	parameter	NOUN
ejpam-6295	173	7	of	of	ADP
ejpam-6295	173	8	lomax	lomax	PROPN
ejpam-6295	173	9	distribution	distribution	NOUN
ejpam-6295	173	10	under	under	ADP
ejpam-6295	173	11	uniform	uniform	NOUN
ejpam-6295	173	12	and	and	CCONJ
ejpam-6295	173	13	jeffery	jeffery	PROPN
ejpam-6295	173	14	prior	prior	ADV
ejpam-6295	173	15	with	with	ADP
ejpam-6295	173	16	engineering	engineering	NOUN
ejpam-6295	173	17	applications	application	NOUN
ejpam-6295	173	18	.	.	PUNCT
ejpam-6295	174	1	gazi	gazi	PROPN
ejpam-6295	174	2	university	university	PROPN
ejpam-6295	174	3	journal	journal	PROPN
ejpam-6295	174	4	of	of	ADP
ejpam-6295	174	5	science	science	NOUN
ejpam-6295	174	6	,	,	PUNCT
ejpam-6295	174	7	34(2):562–577	34(2):562–577	NUM
ejpam-6295	174	8	,	,	PUNCT
ejpam-6295	174	9	2021	2021	NUM
ejpam-6295	174	10	.	.	PUNCT
ejpam-6295	175	1	[	[	X
ejpam-6295	175	2	13	13	NUM
ejpam-6295	175	3	]	]	PUNCT
ejpam-6295	175	4	a.	a.	NOUN
ejpam-6295	175	5	zellner	zellner	NOUN
ejpam-6295	175	6	.	.	PUNCT
ejpam-6295	176	1	bayesian	bayesian	NOUN
ejpam-6295	176	2	estimation	estimation	NOUN
ejpam-6295	176	3	and	and	CCONJ
ejpam-6295	176	4	prediction	prediction	NOUN
ejpam-6295	176	5	using	use	VERB
ejpam-6295	176	6	asymmetric	asymmetric	ADJ
ejpam-6295	176	7	loss	loss	NOUN
ejpam-6295	176	8	functions	function	NOUN
ejpam-6295	176	9	.	.	PUNCT
ejpam-6295	177	1	journal	journal	NOUN
ejpam-6295	177	2	of	of	ADP
ejpam-6295	177	3	the	the	DET
ejpam-6295	177	4	american	american	PROPN
ejpam-6295	177	5	statistical	statistical	PROPN
ejpam-6295	177	6	association	association	NOUN
ejpam-6295	177	7	,	,	PUNCT
ejpam-6295	177	8	81(394):446–451	81(394):446–451	PROPN
ejpam-6295	177	9	,	,	PUNCT
ejpam-6295	177	10	1986	1986	NUM
ejpam-6295	177	11	.	.	PUNCT
ejpam-6295	178	1	[	[	X
ejpam-6295	178	2	14	14	NUM
ejpam-6295	178	3	]	]	X
ejpam-6295	178	4	o.s	o.s	PROPN
ejpam-6295	178	5	.	.	PROPN
ejpam-6295	178	6	balogun	balogun	PROPN
ejpam-6295	178	7	,	,	PUNCT
ejpam-6295	178	8	m.z	m.z	PROPN
ejpam-6295	178	9	.	.	PROPN
ejpam-6295	178	10	arshad	arshad	PROPN
ejpam-6295	178	11	,	,	PUNCT
ejpam-6295	178	12	m.z	m.z	PROPN
ejpam-6295	178	13	.	.	PROPN
ejpam-6295	178	14	iqbal	iqbal	PROPN
ejpam-6295	178	15	,	,	PUNCT
ejpam-6295	178	16	and	and	CCONJ
ejpam-6295	178	17	m.	m.	NOUN
ejpam-6295	178	18	ghamkhar	ghamkhar	PROPN
ejpam-6295	178	19	.	.	PUNCT
ejpam-6295	179	1	a	a	DET
ejpam-6295	179	2	new	new	ADJ
ejpam-6295	179	3	modified	modify	VERB
ejpam-6295	179	4	lehmann	lehmann	NOUN
ejpam-6295	179	5	type	type	NOUN
ejpam-6295	179	6	–	–	PUNCT
ejpam-6295	179	7	ii	ii	PROPN
ejpam-6295	179	8	g	g	NOUN
ejpam-6295	179	9	class	class	NOUN
ejpam-6295	179	10	of	of	ADP
ejpam-6295	179	11	distributions	distribution	NOUN
ejpam-6295	179	12	:	:	PUNCT
ejpam-6295	179	13	exponential	exponential	ADJ
ejpam-6295	179	14	distribution	distribution	NOUN
ejpam-6295	179	15	with	with	ADP
ejpam-6295	179	16	theory	theory	NOUN
ejpam-6295	179	17	,	,	PUNCT
ejpam-6295	179	18	simulation	simulation	NOUN
ejpam-6295	179	19	,	,	PUNCT
ejpam-6295	179	20	and	and	CCONJ
ejpam-6295	179	21	applications	application	NOUN
ejpam-6295	179	22	to	to	ADP
ejpam-6295	179	23	engineering	engineering	NOUN
ejpam-6295	179	24	sector	sector	NOUN
ejpam-6295	179	25	.	.	PUNCT
ejpam-6295	180	1	f1000research	f1000research	PROPN
ejpam-6295	180	2	,	,	PUNCT
ejpam-6295	180	3	10:483	10:483	NUM
ejpam-6295	180	4	,	,	PUNCT
ejpam-6295	180	5	2021	2021	NUM
ejpam-6295	180	6	.	.	PUNCT