id	sid	tid	token	lemma	pos
m-530	1	1	bayesian	bayesian	NOUN
m-530	1	2	estimation	estimation	NOUN
m-530	1	3	of	of	ADP
m-530	1	4	shape	shape	NOUN
m-530	1	5	parameter	parameter	NOUN
m-530	1	6	of	of	ADP
m-530	1	7	topp	topp	PROPN
m-530	1	8	-	-	PUNCT
m-530	1	9	leone	leone	NOUN
m-530	1	10	dagum	dagum	NOUN
m-530	1	11	distribution	distribution	NOUN
m-530	1	12	arun	arun	PROPN
m-530	1	13	kumar	kumar	PROPN
m-530	1	14	rao1	rao1	PROPN
m-530	1	15	,	,	PUNCT
m-530	1	16	himanshu	himanshu	PROPN
m-530	1	17	pandey2	pandey2	PROPN
m-530	1	18	*	*	SYM
m-530	1	19	1department	1department	NUM
m-530	1	20	of	of	ADP
m-530	1	21	statistics	statistic	NOUN
m-530	1	22	,	,	PUNCT
m-530	1	23	mppg	mppg	PROPN
m-530	1	24	college	college	NOUN
m-530	1	25	,	,	PUNCT
m-530	1	26	jungle	jungle	VERB
m-530	1	27	dhusan	dhusan	PROPN
m-530	1	28	,	,	PUNCT
m-530	1	29	gorakhpur	gorakhpur	PROPN
m-530	1	30	,	,	PUNCT
m-530	1	31	india	india	PROPN
m-530	1	32	2*department	2*department	NUM
m-530	1	33	of	of	ADP
m-530	1	34	mathematics	mathematics	PROPN
m-530	1	35	&	&	CCONJ
m-530	1	36	statistics	statistics	PROPN
m-530	1	37	,	,	PUNCT
m-530	1	38	ddu	ddu	PROPN
m-530	1	39	gorakhpur	gorakhpur	PROPN
m-530	1	40	university	university	PROPN
m-530	1	41	,	,	PUNCT
m-530	1	42	gorakhpur	gorakhpur	PROPN
m-530	1	43	,	,	PUNCT
m-530	1	44	india	india	PROPN
m-530	1	45	e	e	PROPN
m-530	1	46	-	-	NOUN
m-530	1	47	mail	mail	NOUN
m-530	1	48	:	:	PUNCT
m-530	1	49	himanshu_pandey62@yahoo.com	himanshu_pandey62@yahoo.com	X
m-530	1	50	abstract	abstract	NOUN
m-530	1	51	in	in	ADP
m-530	1	52	this	this	DET
m-530	1	53	paper	paper	NOUN
m-530	1	54	,	,	PUNCT
m-530	1	55	topp	topp	PROPN
m-530	1	56	-	-	PUNCT
m-530	1	57	leone	leone	NOUN
m-530	1	58	dagum	dagum	NOUN
m-530	1	59	distribution	distribution	NOUN
m-530	1	60	is	be	AUX
m-530	1	61	considered	consider	VERB
m-530	1	62	for	for	ADP
m-530	1	63	bayesian	bayesian	NOUN
m-530	1	64	analysis	analysis	NOUN
m-530	1	65	.	.	PUNCT
m-530	2	1	the	the	DET
m-530	2	2	expressions	expression	NOUN
m-530	2	3	for	for	ADP
m-530	2	4	bayes	bayes	NOUN
m-530	2	5	estimators	estimator	NOUN
m-530	2	6	of	of	ADP
m-530	2	7	the	the	DET
m-530	2	8	parameter	parameter	NOUN
m-530	2	9	have	have	AUX
m-530	2	10	been	be	AUX
m-530	2	11	derived	derive	VERB
m-530	2	12	under	under	ADP
m-530	2	13	squared	square	VERB
m-530	2	14	error	error	NOUN
m-530	2	15	,	,	PUNCT
m-530	2	16	precautionary	precautionary	NOUN
m-530	2	17	,	,	PUNCT
m-530	2	18	entropy	entropy	PROPN
m-530	2	19	,	,	PUNCT
m-530	2	20	k	k	NOUN
m-530	2	21	-	-	NOUN
m-530	2	22	loss	loss	NOUN
m-530	2	23	,	,	PUNCT
m-530	2	24	and	and	CCONJ
m-530	2	25	al	al	PROPN
m-530	2	26	-	-	PUNCT
m-530	2	27	bayyati	bayyati	PROPN
m-530	2	28	’s	’s	PART
m-530	2	29	loss	loss	NOUN
m-530	2	30	functions	function	NOUN
m-530	2	31	by	by	ADP
m-530	2	32	using	use	VERB
m-530	2	33	quasi	quasi	NOUN
m-530	2	34	and	and	CCONJ
m-530	2	35	gamma	gamma	NOUN
m-530	2	36	priors	prior	NOUN
m-530	2	37	.	.	PUNCT
m-530	3	1	keywords	keyword	NOUN
m-530	3	2	bayesian	bayesian	NOUN
m-530	3	3	method	method	NOUN
m-530	3	4	,	,	PUNCT
m-530	3	5	topp	topp	NOUN
m-530	3	6	-	-	PUNCT
m-530	3	7	leone	leone	NOUN
m-530	3	8	dagum	dagum	NOUN
m-530	3	9	distribution	distribution	NOUN
m-530	3	10	,	,	PUNCT
m-530	3	11	quasi	quasi	NOUN
m-530	3	12	and	and	CCONJ
m-530	3	13	gamma	gamma	PROPN
m-530	3	14	priors	prior	NOUN
m-530	3	15	,	,	PUNCT
m-530	3	16	squared	square	VERB
m-530	3	17	error	error	NOUN
m-530	3	18	,	,	PUNCT
m-530	3	19	precautionary	precautionary	NOUN
m-530	3	20	,	,	PUNCT
m-530	3	21	entropy	entropy	PROPN
m-530	3	22	,	,	PUNCT
m-530	3	23	k	k	NOUN
m-530	3	24	-	-	NOUN
m-530	3	25	loss	loss	NOUN
m-530	3	26	,	,	PUNCT
m-530	3	27	and	and	CCONJ
m-530	3	28	al	al	PROPN
m-530	3	29	-	-	PUNCT
m-530	3	30	bayyati	bayyati	PROPN
m-530	3	31	’s	’s	PART
m-530	3	32	loss	loss	NOUN
m-530	3	33	functions	function	NOUN
m-530	3	34	.	.	PUNCT
m-530	4	1	1	1	X
m-530	4	2	.	.	X
m-530	4	3	introduction	introduction	NOUN
m-530	4	4	rasheed	rasheed	NOUN
m-530	4	5	,	,	PUNCT
m-530	4	6	n.	n.	NOUN
m-530	4	7	,	,	PUNCT
m-530	4	8	[	[	X
m-530	4	9	1	1	X
m-530	4	10	]	]	PUNCT
m-530	4	11	introduced	introduce	VERB
m-530	4	12	the	the	DET
m-530	4	13	topp	topp	NOUN
m-530	4	14	-	-	PUNCT
m-530	4	15	leone	leone	NOUN
m-530	4	16	dagum	dagum	NOUN
m-530	4	17	distribution	distribution	NOUN
m-530	4	18	.	.	PUNCT
m-530	5	1	he	he	PRON
m-530	5	2	obtained	obtain	VERB
m-530	5	3	some	some	DET
m-530	5	4	basic	basic	ADJ
m-530	5	5	statistical	statistical	ADJ
m-530	5	6	properties	property	NOUN
m-530	5	7	,	,	PUNCT
m-530	5	8	incomplete	incomplete	ADJ
m-530	5	9	rth	rth	PROPN
m-530	5	10	moments	moment	NOUN
m-530	5	11	,	,	PUNCT
m-530	5	12	mean	mean	VERB
m-530	5	13	deviation	deviation	NOUN
m-530	5	14	from	from	ADP
m-530	5	15	mean	mean	ADJ
m-530	5	16	,	,	PUNCT
m-530	5	17	and	and	CCONJ
m-530	5	18	reliability	reliability	NOUN
m-530	5	19	measures	measure	NOUN
m-530	5	20	of	of	ADP
m-530	5	21	the	the	DET
m-530	5	22	distribution	distribution	NOUN
m-530	5	23	.	.	PUNCT
m-530	6	1	the	the	DET
m-530	6	2	probability	probability	NOUN
m-530	6	3	density	density	NOUN
m-530	6	4	function	function	NOUN
m-530	6	5	of	of	ADP
m-530	6	6	topp	topp	NOUN
m-530	6	7	-	-	PUNCT
m-530	6	8	leone	leone	NOUN
m-530	6	9	dagum	dagum	NOUN
m-530	6	10	distribution	distribution	NOUN
m-530	6	11	is	be	AUX
m-530	6	12	given	give	VERB
m-530	6	13	by	by	ADP
m-530	6	14			NOUN
m-530	6	15			PROPN
m-530	6	16			NOUN
m-530	6	17			SYM
m-530	6	18			NOUN
m-530	6	19			SYM
m-530	6	20			NOUN
m-530	6	21			SYM
m-530	6	22			NOUN
m-530	6	23			SYM
m-530	6	24			NOUN
m-530	6	25			ADJ
m-530	6	26			PROPN
m-530	6	27			PROPN
m-530	6	28			NOUN
m-530	6	29			PROPN
m-530	6	30	1211	1211	NUM
m-530	6	31	2	2	NUM
m-530	6	32	1	1	NUM
m-530	6	33	1	1	NUM
m-530	6	34	1	1	NUM
m-530	6	35	1	1	NUM
m-530	6	36	1	1	NUM
m-530	6	37	1	1	NUM
m-530	6	38	0	0	NUM
m-530	6	39	a	a	DET
m-530	6	40	a	a	DET
m-530	6	41	a	a	DET
m-530	6	42	f	f	NOUN
m-530	6	43	x	x	NOUN
m-530	6	44	;	;	PUNCT
m-530	6	45	a	a	DET
m-530	6	46	x	x	SYM
m-530	6	47	x	x	SYM
m-530	6	48	x	x	SYM
m-530	6	49	x	x	X
m-530	6	50	;	;	PUNCT
m-530	6	51	x	x	X
m-530	6	52	.	.	PUNCT
m-530	7	1			PROPN
m-530	7	2			VERB
m-530	7	3			PROPN
m-530	7	4			NUM
m-530	7	5			NOUN
m-530	7	6			ADV
m-530	7	7			ADJ
m-530	7	8			ADJ
m-530	7	9			ADJ
m-530	7	10			PROPN
m-530	7	11			PROPN
m-530	7	12			CCONJ
m-530	7	13			PROPN
m-530	7	14			NUM
m-530	7	15			PUNCT
m-530	7	16			PROPN
m-530	7	17			PROPN
m-530	7	18			NOUN
m-530	7	19			NOUN
m-530	7	20			PROPN
m-530	7	21			ADJ
m-530	7	22			PROPN
m-530	7	23			VERB
m-530	7	24			PROPN
m-530	7	25			PROPN
m-530	7	26			ADV
m-530	7	27			PROPN
m-530	7	28			PROPN
m-530	7	29			NOUN
m-530	7	30			PROPN
m-530	7	31	(	(	PUNCT
m-530	7	32	1	1	X
m-530	7	33	)	)	PUNCT
m-530	7	34	the	the	DET
m-530	7	35	joint	joint	ADJ
m-530	7	36	density	density	NOUN
m-530	7	37	function	function	NOUN
m-530	7	38	or	or	CCONJ
m-530	7	39	likelihood	likelihood	NOUN
m-530	7	40	function	function	NOUN
m-530	7	41	of	of	ADP
m-530	7	42	(	(	PUNCT
m-530	7	43	1	1	X
m-530	7	44	)	)	PUNCT
m-530	7	45	is	be	AUX
m-530	7	46	given	give	VERB
m-530	7	47	by	by	ADP
m-530	7	48			NOUN
m-530	7	49			PROPN
m-530	7	50			NOUN
m-530	7	51			SYM
m-530	7	52			NOUN
m-530	7	53			SYM
m-530	7	54			NOUN
m-530	7	55			SYM
m-530	7	56			NOUN
m-530	7	57			SYM
m-530	7	58			NOUN
m-530	7	59			SYM
m-530	7	60			NOUN
m-530	7	61			ADV
m-530	7	62	11	11	ADJ
m-530	7	63	1	1	NUM
m-530	7	64	2	2	NUM
m-530	7	65	1	1	NUM
m-530	7	66	1	1	NUM
m-530	7	67	1	1	NUM
m-530	7	68	n	n	ADP
m-530	8	1	a	a	DET
m-530	8	2	an	an	PRON
m-530	8	3	i	i	PRON
m-530	9	1	i	i	PRON
m-530	9	2	i	i	PRON
m-530	10	1	i	i	PRON
m-530	10	2	f	f	PROPN
m-530	11	1	x	x	X
m-530	11	2	;	;	PUNCT
m-530	11	3	a	a	DET
m-530	11	4	x	x	SYM
m-530	11	5	x	x	SYM
m-530	11	6	x	x	X
m-530	11	7			ADJ
m-530	11	8			NUM
m-530	11	9			NOUN
m-530	11	10			ADV
m-530	11	11			ADJ
m-530	11	12			ADJ
m-530	11	13			NOUN
m-530	11	14			X
m-530	11	15			NUM
m-530	11	16			X
m-530	11	17			PROPN
m-530	11	18			PROPN
m-530	11	19			PROPN
m-530	11	20			NOUN
m-530	11	21			NOUN
m-530	11	22			PROPN
m-530	11	23			PUNCT
m-530	11	24			PROPN
m-530	11	25			PROPN
m-530	11	26			CCONJ
m-530	11	27			PROPN
m-530	11	28			NOUN
m-530	11	29			VERB
m-530	11	30			NOUN
m-530	11	31			ADJ
m-530	11	32			PROPN
m-530	11	33			PROPN
m-530	11	34			NOUN
m-530	11	35			PROPN
m-530	11	36	1	1	NUM
m-530	11	37	12	12	NUM
m-530	11	38	2	2	NUM
m-530	11	39	11	11	NUM
m-530	11	40	1	1	NUM
m-530	11	41	1	1	NUM
m-530	11	42	1	1	NUM
m-530	11	43	1	1	NUM
m-530	11	44	1	1	NUM
m-530	11	45	1	1	NUM
m-530	11	46	n	n	ADV
m-530	11	47	na	na	ADP
m-530	11	48	a	a	DET
m-530	11	49	i	i	PRON
m-530	12	1	i	i	PRON
m-530	12	2	ii	ii	NOUN
m-530	12	3	x	x	SYM
m-530	12	4	exp	exp	NOUN
m-530	12	5	log	log	NOUN
m-530	12	6	x	x	PROPN
m-530	12	7			NUM
m-530	12	8			PROPN
m-530	12	9			X
m-530	12	10			PROPN
m-530	12	11			PROPN
m-530	12	12			PROPN
m-530	12	13			PUNCT
m-530	12	14			X
m-530	12	15			NUM
m-530	12	16			NOUN
m-530	12	17			NOUN
m-530	13	1			PROPN
m-530	13	2			ADJ
m-530	13	3			NOUN
m-530	13	4			PUNCT
m-530	14	1			X
m-530	14	2			PROPN
m-530	14	3			ADJ
m-530	14	4			PROPN
m-530	14	5			VERB
m-530	14	6			PROPN
m-530	14	7			PROPN
m-530	14	8			PROPN
m-530	14	9			PROPN
m-530	14	10			PUNCT
m-530	14	11			VERB
m-530	14	12			NOUN
m-530	14	13			PROPN
m-530	14	14			VERB
m-530	14	15			PROPN
m-530	14	16			PROPN
m-530	14	17			PROPN
m-530	14	18			PROPN
m-530	14	19			NOUN
m-530	14	20			VERB
m-530	14	21			PROPN
m-530	14	22			PROPN
m-530	14	23	(	(	PUNCT
m-530	14	24	2	2	NUM
m-530	14	25	)	)	PUNCT
m-530	14	26	the	the	DET
m-530	14	27	log	log	NOUN
m-530	14	28	likelihood	likelihood	NOUN
m-530	14	29	function	function	NOUN
m-530	14	30	is	be	AUX
m-530	14	31	given	give	VERB
m-530	14	32	by	by	ADP
m-530	14	33			NOUN
m-530	15	1			PROPN
m-530	15	2			NOUN
m-530	15	3			SYM
m-530	15	4			NOUN
m-530	15	5			SYM
m-530	15	6			NOUN
m-530	15	7			SYM
m-530	15	8			NOUN
m-530	15	9			SYM
m-530	15	10			NOUN
m-530	15	11			SYM
m-530	15	12			NOUN
m-530	15	13			ADV
m-530	15	14	11	11	ADJ
m-530	15	15	1	1	NUM
m-530	15	16	2	2	NUM
m-530	15	17	1	1	NUM
m-530	15	18	1	1	NUM
m-530	15	19	1	1	NUM
m-530	15	20	n	n	ADP
m-530	15	21	a	a	DET
m-530	15	22	a	a	PRON
m-530	16	1	i	i	PRON
m-530	17	1	i	i	PRON
m-530	18	1	i	i	PRON
m-530	19	1	i	i	PRON
m-530	19	2	log	log	VERB
m-530	19	3	f	f	PROPN
m-530	19	4	x	x	NOUN
m-530	19	5	;	;	PUNCT
m-530	19	6	nlog	nlog	X
m-530	19	7	a	a	DET
m-530	19	8	log	log	NOUN
m-530	19	9	x	x	NOUN
m-530	19	10	x	x	SYM
m-530	19	11	x	x	X
m-530	19	12			ADJ
m-530	19	13			NUM
m-530	19	14			NOUN
m-530	19	15			ADV
m-530	19	16			ADJ
m-530	19	17			ADJ
m-530	19	18			NOUN
m-530	19	19			X
m-530	19	20			NUM
m-530	19	21			X
m-530	20	1			PROPN
m-530	20	2			PROPN
m-530	20	3			PROPN
m-530	20	4			NOUN
m-530	20	5			PROPN
m-530	20	6			PROPN
m-530	20	7			ADV
m-530	20	8			PUNCT
m-530	20	9			PROPN
m-530	20	10			PROPN
m-530	20	11			CCONJ
m-530	20	12			PROPN
m-530	20	13			NOUN
m-530	20	14			VERB
m-530	20	15			NOUN
m-530	20	16			ADJ
m-530	20	17			PROPN
m-530	20	18			PROPN
m-530	20	19			NOUN
m-530	20	20			PROPN
m-530	20	21	1	1	NUM
m-530	20	22	12	12	NUM
m-530	20	23	2	2	NUM
m-530	20	24	11	11	NUM
m-530	20	25	1	1	NUM
m-530	20	26	1	1	NUM
m-530	20	27	1	1	NUM
m-530	20	28	1	1	NUM
m-530	20	29	1	1	NUM
m-530	20	30	1	1	NUM
m-530	20	31	n	n	ADV
m-530	20	32	na	na	ADP
m-530	20	33	a	a	PRON
m-530	21	1	i	i	PRON
m-530	22	1	i	i	PRON
m-530	22	2	ii	ii	VERB
m-530	22	3	log	log	VERB
m-530	22	4	x	x	PUNCT
m-530	22	5	log	log	VERB
m-530	22	6	x	x	PROPN
m-530	22	7			NUM
m-530	22	8			PROPN
m-530	22	9			X
m-530	22	10			PROPN
m-530	22	11			PROPN
m-530	22	12			PROPN
m-530	22	13			PUNCT
m-530	22	14			X
m-530	22	15			NUM
m-530	22	16			NOUN
m-530	22	17			ADV
m-530	22	18			VERB
m-530	22	19			PUNCT
m-530	23	1			PUNCT
m-530	23	2			INTJ
m-530	23	3			PUNCT
m-530	24	1			PROPN
m-530	24	2			PROPN
m-530	24	3			PUNCT
m-530	24	4			PROPN
m-530	24	5			PROPN
m-530	24	6			PROPN
m-530	24	7			NOUN
m-530	24	8			VERB
m-530	24	9			ADP
m-530	24	10			PROPN
m-530	24	11			PROPN
m-530	24	12			PROPN
m-530	24	13			PROPN
m-530	24	14			NOUN
m-530	24	15			NOUN
m-530	24	16	(	(	PUNCT
m-530	24	17	3	3	X
m-530	24	18	)	)	PUNCT
m-530	24	19	differentiating	differentiate	VERB
m-530	24	20	(	(	PUNCT
m-530	24	21	3	3	NUM
m-530	24	22	)	)	PUNCT
m-530	24	23	with	with	ADP
m-530	24	24	respect	respect	NOUN
m-530	24	25	to	to	ADP
m-530	24	26	θ	θ	PROPN
m-530	24	27	and	and	CCONJ
m-530	24	28	equating	equate	VERB
m-530	24	29	to	to	ADP
m-530	24	30	zero	zero	NUM
m-530	24	31	,	,	PUNCT
m-530	24	32	we	we	PRON
m-530	24	33	get	get	VERB
m-530	24	34	the	the	DET
m-530	24	35	maximum	maximum	ADJ
m-530	24	36	likelihood	likelihood	NOUN
m-530	24	37	estimator	estimator	NOUN
m-530	24	38	of	of	ADP
m-530	24	39	θ	θ	PROPN
m-530	24	40	which	which	PRON
m-530	24	41	is	be	AUX
m-530	24	42	given	give	VERB
m-530	24	43	as	as	ADP
m-530	24	44			NOUN
m-530	24	45			NOUN
m-530	24	46			PROPN
m-530	24	47	12	12	NUM
m-530	24	48	1	1	NUM
m-530	24	49	1	1	NUM
m-530	24	50	1	1	NUM
m-530	24	51	1	1	NUM
m-530	24	52	n	n	ADP
m-530	24	53	a	a	PRON
m-530	25	1	i	i	PRON
m-530	26	1	i	i	PRON
m-530	26	2	n	n	VERB
m-530	26	3	log	log	VERB
m-530	26	4	x	x	PUNCT
m-530	26	5			NOUN
m-530	26	6			ADJ
m-530	26	7			NOUN
m-530	26	8			PROPN
m-530	26	9			NUM
m-530	26	10			NUM
m-530	26	11			ADP
m-530	27	1			PROPN
m-530	27	2			NUM
m-530	27	3			PROPN
m-530	27	4			PROPN
m-530	27	5			PUNCT
m-530	27	6			ADJ
m-530	27	7			PROPN
m-530	27	8			PROPN
m-530	27	9			X
m-530	27	10	.	.	PUNCT
m-530	28	1	(	(	PUNCT
m-530	28	2	4	4	X
m-530	28	3	)	)	PUNCT
m-530	28	4	ijo	ijo	PROPN
m-530	28	5	international	international	PROPN
m-530	28	6	journal	journal	PROPN
m-530	28	7	of	of	ADP
m-530	28	8	mathematics	mathematics	PROPN
m-530	28	9	volume	volume	NOUN
m-530	28	10	4	4	NUM
m-530	28	11	|	|	NOUN
m-530	28	12	issue	issue	VERB
m-530	28	13	12	12	NUM
m-530	29	1	|	|	CCONJ
m-530	29	2	december	december	PROPN
m-530	29	3	2021	2021	NUM
m-530	29	4	|	|	ADV
m-530	29	5	http://www.ijojournals.com/index.php/m/index	http://www.ijojournals.com/index.php/m/index	NOUN
m-530	29	6	1	1	NUM
m-530	29	7	2	2	NUM
m-530	29	8	.	.	PUNCT
m-530	29	9	bayesian	bayesian	NOUN
m-530	29	10	method	method	NOUN
m-530	29	11	of	of	ADP
m-530	29	12	estimation	estimation	NOUN
m-530	29	13	the	the	DET
m-530	29	14	bayesian	bayesian	NOUN
m-530	29	15	inference	inference	NOUN
m-530	29	16	procedures	procedure	NOUN
m-530	29	17	have	have	AUX
m-530	29	18	been	be	AUX
m-530	29	19	developed	develop	VERB
m-530	29	20	generally	generally	ADV
m-530	29	21	under	under	ADP
m-530	29	22	squared	square	VERB
m-530	29	23	error	error	NOUN
m-530	29	24	loss	loss	NOUN
m-530	29	25	function	function	NOUN
m-530	29	26	2	2	NUM
m-530	29	27	l	l	NOUN
m-530	29	28	,	,	PUNCT
m-530	29	29			PROPN
m-530	30	1			X
m-530	30	2			PROPN
m-530	30	3			X
m-530	31	1			PROPN
m-530	31	2			NUM
m-530	32	1			ADJ
m-530	32	2			NOUN
m-530	32	3			NOUN
m-530	32	4			PROPN
m-530	33	1			PROPN
m-530	33	2			PROPN
m-530	34	1			PROPN
m-530	34	2			PROPN
m-530	35	1			ADJ
m-530	35	2			PROPN
m-530	35	3			PROPN
m-530	35	4			NOUN
m-530	35	5	.	.	PUNCT
m-530	36	1	(	(	PUNCT
m-530	36	2	5	5	X
m-530	36	3	)	)	PUNCT
m-530	36	4	the	the	DET
m-530	36	5	bayes	bayes	PROPN
m-530	36	6	estimator	estimator	NOUN
m-530	36	7	under	under	ADP
m-530	36	8	the	the	DET
m-530	36	9	above	above	ADJ
m-530	36	10	loss	loss	NOUN
m-530	36	11	function	function	NOUN
m-530	36	12	,	,	PUNCT
m-530	36	13	say	say	INTJ
m-530	36	14	,	,	PUNCT
m-530	36	15	s	s	PROPN
m-530	36	16			PROPN
m-530	36	17	is	be	AUX
m-530	36	18	the	the	DET
m-530	36	19	posterior	posterior	ADJ
m-530	36	20	mean	mean	NOUN
m-530	36	21	,	,	PUNCT
m-530	36	22	i.e	i.e	X
m-530	36	23	,	,	PUNCT
m-530	36	24			PROPN
m-530	36	25	s	s	PROPN
m-530	36	26	e	e	PROPN
m-530	36	27			X
m-530	36	28			PROPN
m-530	36	29			PROPN
m-530	36	30	.	.	PUNCT
m-530	37	1	(	(	PUNCT
m-530	37	2	6	6	NUM
m-530	37	3	)	)	PUNCT
m-530	37	4	zellner	zellner	NOUN
m-530	38	1	[	[	X
m-530	38	2	2	2	NUM
m-530	38	3	]	]	PUNCT
m-530	38	4	,	,	PUNCT
m-530	38	5	basu	basu	PROPN
m-530	38	6	and	and	CCONJ
m-530	38	7	ebrahimi	ebrahimi	PROPN
m-530	38	8	[	[	X
m-530	38	9	3	3	X
m-530	38	10	]	]	PUNCT
m-530	38	11	have	have	AUX
m-530	38	12	recognized	recognize	VERB
m-530	38	13	that	that	SCONJ
m-530	38	14	the	the	DET
m-530	38	15	inappropriateness	inappropriateness	NOUN
m-530	38	16	of	of	ADP
m-530	38	17	using	use	VERB
m-530	38	18	symmetric	symmetric	ADJ
m-530	38	19	loss	loss	NOUN
m-530	38	20	function	function	NOUN
m-530	38	21	.	.	PUNCT
m-530	39	1	norstrom	norstrom	ADP
m-530	39	2	[	[	X
m-530	39	3	4	4	X
m-530	39	4	]	]	PUNCT
m-530	39	5	introduced	introduce	VERB
m-530	39	6	precautionary	precautionary	ADJ
m-530	39	7	loss	loss	NOUN
m-530	39	8	function	function	NOUN
m-530	39	9	is	be	AUX
m-530	39	10	given	give	VERB
m-530	39	11	as	as	ADP
m-530	39	12	2	2	NUM
m-530	39	13	l	l	NOUN
m-530	39	14	,	,	PUNCT
m-530	39	15			PROPN
m-530	39	16			X
m-530	39	17			PROPN
m-530	40	1			PROPN
m-530	40	2			PROPN
m-530	41	1			PROPN
m-530	41	2			PROPN
m-530	41	3			PROPN
m-530	41	4			NOUN
m-530	41	5			NOUN
m-530	41	6			PROPN
m-530	41	7			PROPN
m-530	41	8			NOUN
m-530	41	9			PROPN
m-530	41	10			PROPN
m-530	41	11			PROPN
m-530	41	12			PROPN
m-530	41	13			PROPN
m-530	41	14			NOUN
m-530	41	15	.	.	PUNCT
m-530	42	1	(	(	PUNCT
m-530	42	2	7	7	X
m-530	42	3	)	)	PUNCT
m-530	42	4	the	the	DET
m-530	42	5	bayes	bayes	PROPN
m-530	42	6	estimator	estimator	NOUN
m-530	42	7	under	under	ADP
m-530	42	8	this	this	DET
m-530	42	9	loss	loss	NOUN
m-530	42	10	function	function	NOUN
m-530	42	11	is	be	AUX
m-530	42	12	denoted	denote	VERB
m-530	42	13	by	by	ADP
m-530	42	14	p	p	PROPN
m-530	42	15			PROPN
m-530	42	16	and	and	CCONJ
m-530	42	17	is	be	AUX
m-530	42	18	obtained	obtain	VERB
m-530	42	19	as	as	ADP
m-530	42	20			NOUN
m-530	42	21			PROPN
m-530	42	22	1	1	NUM
m-530	42	23	22	22	NUM
m-530	42	24	p	p	NOUN
m-530	43	1	e	e	PROPN
m-530	43	2			PROPN
m-530	43	3			PROPN
m-530	43	4			PROPN
m-530	43	5			NOUN
m-530	43	6			VERB
m-530	43	7			PROPN
m-530	43	8	.	.	PUNCT
m-530	44	1	(	(	PUNCT
m-530	44	2	8)	8)	NUM
m-530	44	3	calabria	calabria	NOUN
m-530	44	4	and	and	CCONJ
m-530	44	5	pulcini	pulcini	NOUN
m-530	44	6	[	[	X
m-530	44	7	5	5	NUM
m-530	44	8	]	]	PUNCT
m-530	44	9	points	point	VERB
m-530	44	10	out	out	ADP
m-530	44	11	that	that	SCONJ
m-530	44	12	a	a	DET
m-530	44	13	useful	useful	ADJ
m-530	44	14	asymmetric	asymmetric	ADJ
m-530	44	15	loss	loss	NOUN
m-530	44	16	function	function	NOUN
m-530	44	17	is	be	AUX
m-530	44	18	the	the	DET
m-530	44	19	entropy	entropy	NOUN
m-530	44	20	loss	loss	NOUN
m-530	44	21			NOUN
m-530	44	22			PUNCT
m-530	44	23			NOUN
m-530	44	24			PROPN
m-530	45	1	1p	1p	NUM
m-530	45	2	el	el	PROPN
m-530	45	3	p	p	PROPN
m-530	45	4	log	log	PROPN
m-530	45	5			PROPN
m-530	45	6			NOUN
m-530	45	7			PUNCT
m-530	45	8			NOUN
m-530	45	9			NOUN
m-530	45	10			NOUN
m-530	45	11			PROPN
m-530	45	12	where	where	SCONJ
m-530	45	13	,	,	PUNCT
m-530	45	14			PROPN
m-530	45	15			PROPN
m-530	45	16			PROPN
m-530	45	17			PUNCT
m-530	45	18			NUM
m-530	45	19	and	and	CCONJ
m-530	45	20	whose	whose	DET
m-530	45	21	minimum	minimum	NOUN
m-530	45	22	occurs	occur	VERB
m-530	45	23	at	at	ADP
m-530	45	24	.	.	PUNCT
m-530	46	1			X
m-530	47	1			PROPN
m-530	47	2			PROPN
m-530	47	3	also	also	ADV
m-530	47	4	,	,	PUNCT
m-530	47	5	the	the	DET
m-530	47	6	loss	loss	NOUN
m-530	47	7	function	function	NOUN
m-530	47	8			NOUN
m-530	47	9	l	l	PROPN
m-530	47	10			VERB
m-530	47	11	has	have	AUX
m-530	47	12	been	be	AUX
m-530	47	13	used	use	VERB
m-530	47	14	in	in	ADP
m-530	47	15	dey	dey	PROPN
m-530	47	16	et	et	PROPN
m-530	47	17	al	al	PROPN
m-530	47	18	.	.	PUNCT
m-530	48	1	[	[	X
m-530	48	2	6	6	NUM
m-530	48	3	]	]	PUNCT
m-530	48	4	and	and	CCONJ
m-530	48	5	dey	dey	PROPN
m-530	48	6	and	and	CCONJ
m-530	48	7	liu	liu	PROPN
m-530	49	1	[	[	X
m-530	49	2	7	7	NUM
m-530	49	3	]	]	PUNCT
m-530	49	4	,	,	PUNCT
m-530	49	5	in	in	ADP
m-530	49	6	the	the	DET
m-530	49	7	original	original	ADJ
m-530	49	8	form	form	NOUN
m-530	49	9	having	have	VERB
m-530	49	10	1p	1p	NUM
m-530	49	11	.	.	NOUN
m-530	49	12	thus	thus	ADV
m-530	49	13			NOUN
m-530	49	14	l	l	PROPN
m-530	49	15			NOUN
m-530	49	16	can	can	AUX
m-530	49	17	written	write	VERB
m-530	49	18	be	be	AUX
m-530	49	19	as	as	ADP
m-530	49	20			NOUN
m-530	50	1			SYM
m-530	50	2			NOUN
m-530	50	3			PUNCT
m-530	50	4	1el	1el	NOUN
m-530	50	5	b	b	PROPN
m-530	50	6	log	log	NOUN
m-530	50	7	;	;	PUNCT
m-530	50	8	b>0.	b>0.	NUM
m-530	50	9			NUM
m-530	50	10			PUNCT
m-530	50	11			NOUN
m-530	50	12			NOUN
m-530	50	13			VERB
m-530	50	14			PROPN
m-530	50	15			PROPN
m-530	50	16	(	(	PUNCT
m-530	50	17	9	9	NUM
m-530	50	18	)	)	PUNCT
m-530	50	19	the	the	DET
m-530	50	20	bayes	bayes	PROPN
m-530	50	21	estimator	estimator	NOUN
m-530	50	22	under	under	ADP
m-530	50	23	entropy	entropy	PROPN
m-530	50	24	loss	loss	NOUN
m-530	50	25	function	function	NOUN
m-530	50	26	is	be	AUX
m-530	50	27	denoted	denote	VERB
m-530	50	28	by	by	ADP
m-530	50	29	e	e	PROPN
m-530	50	30			PROPN
m-530	50	31	and	and	CCONJ
m-530	50	32	is	be	AUX
m-530	50	33	obtained	obtain	VERB
m-530	50	34	by	by	ADP
m-530	50	35	solving	solve	VERB
m-530	50	36	the	the	DET
m-530	50	37	following	follow	VERB
m-530	50	38	equation	equation	NOUN
m-530	50	39	1	1	NUM
m-530	50	40	1	1	NUM
m-530	50	41	e	e	NOUN
m-530	50	42	e	e	X
m-530	50	43	.	.	PUNCT
m-530	50	44			X
m-530	50	45			PROPN
m-530	50	46			PROPN
m-530	50	47			PROPN
m-530	51	1			PROPN
m-530	51	2			PROPN
m-530	51	3			PROPN
m-530	51	4			PROPN
m-530	51	5			ADJ
m-530	51	6			PROPN
m-530	52	1			PROPN
m-530	52	2			PROPN
m-530	52	3			PROPN
m-530	52	4	(	(	PUNCT
m-530	52	5	10	10	NUM
m-530	52	6	)	)	PUNCT
m-530	52	7	wasan	wasan	NOUN
m-530	53	1	[	[	X
m-530	53	2	8	8	NUM
m-530	53	3	]	]	PUNCT
m-530	53	4	proposed	propose	VERB
m-530	53	5	the	the	DET
m-530	53	6	k	k	ADJ
m-530	53	7	-	-	PUNCT
m-530	53	8	loss	loss	NOUN
m-530	53	9	function	function	NOUN
m-530	53	10	which	which	PRON
m-530	53	11	is	be	AUX
m-530	53	12	given	give	VERB
m-530	53	13	as	as	ADP
m-530	53	14	2	2	NUM
m-530	53	15	l	l	NOUN
m-530	53	16	,	,	PUNCT
m-530	53	17			PROPN
m-530	53	18			X
m-530	53	19			PROPN
m-530	53	20			PROPN
m-530	54	1			PROPN
m-530	54	2			PROPN
m-530	55	1			PROPN
m-530	55	2			PROPN
m-530	55	3			PROPN
m-530	55	4			NOUN
m-530	55	5			NOUN
m-530	55	6			PROPN
m-530	55	7			PROPN
m-530	55	8			NOUN
m-530	55	9			PROPN
m-530	55	10			PROPN
m-530	55	11			PROPN
m-530	55	12			PROPN
m-530	55	13			PROPN
m-530	55	14			NOUN
m-530	55	15	.	.	PUNCT
m-530	56	1	(	(	PUNCT
m-530	56	2	11	11	NUM
m-530	56	3	)	)	PUNCT
m-530	56	4	under	under	ADP
m-530	56	5	k	k	ADJ
m-530	56	6	-	-	PUNCT
m-530	56	7	loss	loss	NOUN
m-530	56	8	function	function	NOUN
m-530	56	9	the	the	DET
m-530	56	10	bayes	bayes	PROPN
m-530	56	11	estimator	estimator	NOUN
m-530	56	12	of	of	ADP
m-530	56	13	θ	θ	PROPN
m-530	56	14	is	be	AUX
m-530	56	15	denoted	denote	VERB
m-530	56	16	by	by	ADP
m-530	56	17	k	k	PROPN
m-530	56	18			PROPN
m-530	56	19	and	and	CCONJ
m-530	56	20	is	be	AUX
m-530	56	21	obtained	obtain	VERB
m-530	56	22	as	as	ADP
m-530	56	23			NOUN
m-530	57	1			PROPN
m-530	57	2			NOUN
m-530	57	3			NOUN
m-530	57	4	1	1	NUM
m-530	57	5	2	2	NUM
m-530	57	6	1	1	NUM
m-530	57	7	k	k	NOUN
m-530	57	8	e	e	X
m-530	57	9	e	e	X
m-530	57	10			X
m-530	57	11			PROPN
m-530	57	12			PROPN
m-530	57	13			PROPN
m-530	57	14			PROPN
m-530	57	15			NOUN
m-530	57	16			PROPN
m-530	57	17			NOUN
m-530	57	18			NOUN
m-530	57	19			NOUN
m-530	57	20			PROPN
m-530	57	21	.	.	PUNCT
m-530	58	1	(	(	PUNCT
m-530	58	2	12	12	NUM
m-530	58	3	)	)	PUNCT
m-530	58	4	al	al	PROPN
m-530	58	5	-	-	PUNCT
m-530	58	6	bayyati	bayyati	PROPN
m-530	58	7	[	[	X
m-530	58	8	9	9	NUM
m-530	58	9	]	]	PUNCT
m-530	58	10	introduced	introduce	VERB
m-530	58	11	a	a	DET
m-530	58	12	new	new	ADJ
m-530	58	13	loss	loss	NOUN
m-530	58	14	function	function	NOUN
m-530	58	15	which	which	PRON
m-530	58	16	is	be	AUX
m-530	58	17	given	give	VERB
m-530	58	18	as	as	ADP
m-530	58	19	ijo	ijo	PROPN
m-530	58	20	international	international	PROPN
m-530	58	21	journal	journal	PROPN
m-530	58	22	of	of	ADP
m-530	58	23	mathematics	mathematics	PROPN
m-530	58	24	volume	volume	NOUN
m-530	58	25	4	4	NUM
m-530	58	26	|	|	NOUN
m-530	58	27	issue	issue	VERB
m-530	58	28	12	12	NUM
m-530	59	1	|	|	CCONJ
m-530	59	2	december	december	PROPN
m-530	59	3	2021	2021	NUM
m-530	59	4	|	|	ADV
m-530	59	5	http://www.ijojournals.com/index.php/m/index	http://www.ijojournals.com/index.php/m/index	NOUN
m-530	59	6	2	2	NUM
m-530	59	7	2	2	NUM
m-530	59	8	cl	cl	NOUN
m-530	59	9	,	,	PUNCT
m-530	59	10			PROPN
m-530	59	11			X
m-530	59	12			PROPN
m-530	59	13			PROPN
m-530	59	14			X
m-530	60	1			PROPN
m-530	60	2			NUM
m-530	61	1			ADJ
m-530	61	2			NOUN
m-530	61	3			NOUN
m-530	61	4			PROPN
m-530	62	1			PROPN
m-530	62	2			PROPN
m-530	63	1			PROPN
m-530	63	2			PROPN
m-530	64	1			ADJ
m-530	64	2			PROPN
m-530	64	3			PROPN
m-530	64	4			NOUN
m-530	64	5	.	.	PUNCT
m-530	65	1	(	(	PUNCT
m-530	65	2	13	13	NUM
m-530	65	3	)	)	PUNCT
m-530	65	4	under	under	ADP
m-530	65	5	al	al	PROPN
m-530	65	6	-	-	PUNCT
m-530	65	7	bayyati	bayyati	PROPN
m-530	65	8	’s	’s	PART
m-530	65	9	loss	loss	NOUN
m-530	65	10	function	function	VERB
m-530	65	11	the	the	DET
m-530	65	12	bayes	bayes	PROPN
m-530	65	13	estimator	estimator	NOUN
m-530	65	14	of	of	ADP
m-530	65	15	θ	θ	PROPN
m-530	65	16	is	be	AUX
m-530	65	17	denoted	denote	VERB
m-530	65	18	by	by	ADP
m-530	65	19	al	al	NOUN
m-530	65	20			PROPN
m-530	65	21	and	and	CCONJ
m-530	65	22	is	be	AUX
m-530	65	23	obtained	obtain	VERB
m-530	65	24	as	as	ADP
m-530	65	25			NOUN
m-530	66	1			PROPN
m-530	66	2			NOUN
m-530	66	3			NUM
m-530	66	4	1c	1c	NUM
m-530	66	5	al	al	PROPN
m-530	66	6	c	c	NOUN
m-530	66	7	e	e	X
m-530	66	8	e	e	X
m-530	66	9			X
m-530	66	10			PROPN
m-530	66	11			PROPN
m-530	66	12			PROPN
m-530	66	13			PROPN
m-530	67	1			PROPN
m-530	67	2	.	.	PUNCT
m-530	68	1	(	(	PUNCT
m-530	68	2	14	14	NUM
m-530	68	3	)	)	PUNCT
m-530	68	4	let	let	VERB
m-530	68	5	us	we	PRON
m-530	68	6	consider	consider	VERB
m-530	68	7	two	two	NUM
m-530	68	8	prior	prior	ADJ
m-530	68	9	distributions	distribution	NOUN
m-530	68	10	of	of	ADP
m-530	68	11	θ	θ	PROPN
m-530	68	12	to	to	PART
m-530	68	13	obtain	obtain	VERB
m-530	68	14	the	the	DET
m-530	68	15	bayes	bayes	NOUN
m-530	68	16	estimators	estimator	NOUN
m-530	68	17	.	.	PUNCT
m-530	69	1	(	(	PUNCT
m-530	69	2	i	i	NOUN
m-530	69	3	)	)	PUNCT
m-530	69	4	quasi	quasi	ADJ
m-530	69	5	-	-	VERB
m-530	69	6	prior	prior	ADV
m-530	69	7	:	:	PUNCT
m-530	69	8	for	for	ADP
m-530	69	9	the	the	DET
m-530	69	10	situation	situation	NOUN
m-530	69	11	where	where	SCONJ
m-530	69	12	we	we	PRON
m-530	69	13	have	have	VERB
m-530	69	14	no	no	DET
m-530	69	15	prior	prior	ADJ
m-530	69	16	information	information	NOUN
m-530	69	17	about	about	ADP
m-530	69	18	the	the	DET
m-530	69	19	parameter	parameter	NOUN
m-530	69	20	θ	θ	PROPN
m-530	69	21	,	,	PUNCT
m-530	69	22	we	we	PRON
m-530	69	23	may	may	AUX
m-530	69	24	use	use	VERB
m-530	69	25	the	the	DET
m-530	69	26	quasi	quasi	ADJ
m-530	69	27	density	density	NOUN
m-530	69	28	as	as	SCONJ
m-530	69	29	given	give	VERB
m-530	69	30	by	by	ADP
m-530	69	31			NOUN
m-530	69	32	1	1	ADJ
m-530	69	33	1	1	NUM
m-530	69	34	0	0	NUM
m-530	69	35	0	0	NUM
m-530	70	1	d	d	NOUN
m-530	70	2	g	g	NOUN
m-530	70	3	;	;	PUNCT
m-530	70	4	,	,	PUNCT
m-530	70	5	d	d	X
m-530	70	6	,	,	PUNCT
m-530	70	7			PROPN
m-530	70	8			PROPN
m-530	70	9			X
m-530	70	10			PROPN
m-530	71	1			PROPN
m-530	71	2			NUM
m-530	71	3	(	(	PUNCT
m-530	71	4	15	15	NUM
m-530	71	5	)	)	PUNCT
m-530	71	6	where	where	SCONJ
m-530	71	7	d	d	NOUN
m-530	71	8	=	=	SYM
m-530	71	9	0	0	NUM
m-530	71	10	leads	lead	VERB
m-530	71	11	to	to	ADP
m-530	71	12	a	a	DET
m-530	71	13	diffuse	diffuse	NOUN
m-530	71	14	prior	prior	ADV
m-530	71	15	and	and	CCONJ
m-530	71	16	d	d	NOUN
m-530	71	17	=	=	SYM
m-530	71	18	1	1	NUM
m-530	71	19	,	,	PUNCT
m-530	71	20	a	a	DET
m-530	71	21	non	non	ADJ
m-530	71	22	-	-	ADJ
m-530	71	23	informative	informative	ADJ
m-530	71	24	prior	prior	ADV
m-530	71	25	.	.	PUNCT
m-530	72	1	(	(	PUNCT
m-530	72	2	ii	ii	X
m-530	72	3	)	)	PUNCT
m-530	72	4	gamma	gamma	PROPN
m-530	72	5	prior	prior	ADV
m-530	72	6	:	:	PUNCT
m-530	72	7	generally	generally	ADV
m-530	72	8	,	,	PUNCT
m-530	72	9	the	the	DET
m-530	72	10	gamma	gamma	NOUN
m-530	72	11	density	density	NOUN
m-530	72	12	is	be	AUX
m-530	72	13	used	use	VERB
m-530	72	14	as	as	ADP
m-530	72	15	prior	prior	ADJ
m-530	72	16	distribution	distribution	NOUN
m-530	72	17	of	of	ADP
m-530	72	18	the	the	DET
m-530	72	19	parameter	parameter	NOUN
m-530	72	20	θ	θ	PROPN
m-530	72	21	given	give	VERB
m-530	72	22	by	by	ADP
m-530	72	23			NOUN
m-530	72	24			PROPN
m-530	72	25			NOUN
m-530	72	26			NOUN
m-530	72	27	1	1	NUM
m-530	72	28	2	2	NUM
m-530	72	29	0	0	NUM
m-530	72	30	g	g	NOUN
m-530	72	31	e	e	NOUN
m-530	72	32	;	;	PUNCT
m-530	72	33	.	.	PUNCT
m-530	73	1			X
m-530	73	2			X
m-530	73	3			X
m-530	73	4			PROPN
m-530	73	5			PROPN
m-530	73	6			PROPN
m-530	73	7			X
m-530	73	8			VERB
m-530	73	9			ADJ
m-530	73	10			PROPN
m-530	73	11			PUNCT
m-530	73	12	(	(	PUNCT
m-530	73	13	16	16	NUM
m-530	73	14	)	)	PUNCT
m-530	73	15	3	3	NUM
m-530	73	16	.	.	X
m-530	73	17	posterior	posterior	ADJ
m-530	73	18	density	density	NOUN
m-530	73	19	under	under	ADP
m-530	73	20			NOUN
m-530	73	21	1	1	NOUN
m-530	73	22	g	g	PROPN
m-530	73	23			PROPN
m-530	73	24	the	the	DET
m-530	73	25	posterior	posterior	ADJ
m-530	73	26	density	density	NOUN
m-530	73	27	of	of	ADP
m-530	73	28	θ	θ	PROPN
m-530	73	29	under	under	ADP
m-530	73	30			NOUN
m-530	73	31	1	1	NOUN
m-530	73	32	g	g	PROPN
m-530	73	33			PROPN
m-530	73	34	,	,	PUNCT
m-530	73	35	on	on	ADP
m-530	73	36	using	use	VERB
m-530	73	37	(	(	PUNCT
m-530	73	38	2	2	NUM
m-530	73	39	)	)	PUNCT
m-530	73	40	,	,	PUNCT
m-530	73	41	is	be	AUX
m-530	73	42	given	give	VERB
m-530	73	43	by	by	ADP
m-530	73	44			NOUN
m-530	73	45			PROPN
m-530	73	46			NOUN
m-530	73	47			SYM
m-530	73	48			NOUN
m-530	73	49			SYM
m-530	73	50			NOUN
m-530	73	51			SYM
m-530	73	52			NOUN
m-530	73	53			SYM
m-530	73	54			NOUN
m-530	73	55			SYM
m-530	73	56			NOUN
m-530	73	57			ADJ
m-530	73	58			PROPN
m-530	73	59			PROPN
m-530	73	60			NOUN
m-530	73	61			PROPN
m-530	73	62			PROPN
m-530	73	63			NOUN
m-530	73	64			PROPN
m-530	73	65			PROPN
m-530	74	1			SYM
m-530	74	2			NOUN
m-530	74	3			SYM
m-530	74	4			NOUN
m-530	74	5			SYM
m-530	74	6			NOUN
m-530	74	7			SYM
m-530	74	8			NOUN
m-530	74	9			SYM
m-530	74	10			NOUN
m-530	74	11			NOUN
m-530	74	12			PROPN
m-530	74	13	11	11	NUM
m-530	74	14	1	1	NUM
m-530	74	15	1	1	NUM
m-530	74	16	12	12	NUM
m-530	74	17	2	2	NUM
m-530	74	18	11	11	NUM
m-530	74	19	11	11	NUM
m-530	74	20	1	1	NUM
m-530	74	21	2	2	NUM
m-530	74	22	1	1	NUM
m-530	74	23	1	1	NUM
m-530	74	24	1	1	NUM
m-530	74	25	1	1	NUM
m-530	74	26	1	1	NUM
m-530	74	27	1	1	NUM
m-530	74	28	1	1	NUM
m-530	74	29	1	1	NUM
m-530	74	30	1	1	NUM
m-530	74	31	2	2	NUM
m-530	74	32	1	1	NUM
m-530	74	33	1	1	NUM
m-530	74	34	1	1	NUM
m-530	74	35	1	1	NUM
m-530	74	36	1	1	NUM
m-530	74	37	1	1	NUM
m-530	74	38	n	n	NOUN
m-530	74	39	a	a	PRON
m-530	74	40	an	an	PRON
m-530	75	1	i	i	PRON
m-530	75	2	i	i	PRON
m-530	76	1	i	i	PRON
m-530	76	2	i	i	PRON
m-530	76	3	n	n	VERB
m-530	76	4	na	na	VERB
m-530	76	5	a	a	PROPN
m-530	77	1	d	d	X
m-530	77	2	i	i	PRON
m-530	78	1	i	i	PROPN
m-530	78	2	ii	ii	VERB
m-530	78	3	n	n	ADV
m-530	78	4	a	a	PRON
m-530	79	1	an	an	DET
m-530	79	2	i	i	PRON
m-530	79	3	i	i	PRON
m-530	80	1	i	i	PRON
m-530	80	2	i	i	PRON
m-530	80	3	i	i	PRON
m-530	80	4	a	a	VERB
m-530	80	5	x	x	X
m-530	80	6	x	x	SYM
m-530	80	7	x	x	SYM
m-530	80	8	x	x	NOUN
m-530	80	9	exp	exp	NOUN
m-530	80	10	log	log	NOUN
m-530	80	11	x	x	X
m-530	81	1	f	f	NOUN
m-530	81	2	x	x	X
m-530	81	3	a	a	X
m-530	81	4	x	x	X
m-530	81	5	x	x	SYM
m-530	81	6	x	x	SYM
m-530	81	7	x	x	X
m-530	81	8			ADJ
m-530	81	9			NUM
m-530	81	10			NUM
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m-530	93	8	1	1	NUM
m-530	93	9	1	1	NUM
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m-530	102	7			ADP
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m-530	111	13			CCONJ
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m-530	112	7	(	(	PUNCT
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m-530	112	9	)	)	PUNCT
m-530	112	10	ijo	ijo	PROPN
m-530	112	11	international	international	PROPN
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m-530	112	16	4	4	NUM
m-530	112	17	|	|	NOUN
m-530	112	18	issue	issue	VERB
m-530	112	19	12	12	NUM
m-530	113	1	|	|	CCONJ
m-530	113	2	december	december	PROPN
m-530	113	3	2021	2021	NUM
m-530	113	4	|	|	ADV
m-530	113	5	http://www.ijojournals.com/index.php/m/index	http://www.ijojournals.com/index.php/m/index	NOUN
m-530	113	6	3	3	NUM
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m-530	113	8	1	1	NUM
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m-530	114	3	(	(	PUNCT
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m-530	114	5	)	)	PUNCT
m-530	114	6	,	,	PUNCT
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m-530	117	10			ADV
m-530	117	11			PROPN
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m-530	117	15	.	.	PUNCT
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m-530	118	3	)	)	PUNCT
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m-530	118	5	.	.	PUNCT
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m-530	119	4			PROPN
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m-530	119	10	x	x	X
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m-530	119	16			NOUN
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m-530	119	20			SYM
m-530	119	21			NOUN
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m-530	119	31	1	1	NUM
m-530	119	32	0	0	NUM
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m-530	119	36	1	1	NUM
m-530	119	37	n	n	ADP
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m-530	121	1	i	i	PRON
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m-530	122	12			NUM
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m-530	122	21			NOUN
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m-530	123	1			PROPN
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m-530	123	3			PUNCT
m-530	123	4			NUM
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m-530	123	13			VERB
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m-530	123	15			CCONJ
m-530	123	16			NUM
m-530	124	1			PUNCT
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m-530	125	1			SYM
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m-530	125	8	1	1	NUM
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m-530	125	10	1	1	NUM
m-530	125	11	1	1	NUM
m-530	125	12	1	1	NUM
m-530	125	13	1	1	NUM
m-530	125	14	1	1	NUM
m-530	125	15	1	1	NUM
m-530	125	16	1	1	NUM
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m-530	125	18	1	1	NUM
m-530	125	19	n	n	NOUN
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m-530	129	1			SYM
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m-530	129	11	1	1	NUM
m-530	129	12	1	1	NUM
m-530	129	13	1	1	NUM
m-530	129	14	c	c	NOUN
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m-530	130	7	x	x	PUNCT
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m-530	132	14			X
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m-530	133	6	,	,	PUNCT
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m-530	133	9			NUM
m-530	133	10	,	,	PUNCT
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m-530	133	13			NOUN
m-530	133	14			PUNCT
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m-530	134	2			PROPN
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m-530	134	8	1	1	NUM
m-530	134	9	n	n	ADP
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m-530	136	9			NUM
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m-530	136	11			NUM
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m-530	136	18			PUNCT
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m-530	136	22			NOUN
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m-530	136	26			X
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m-530	137	1	(	(	PUNCT
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m-530	137	9	,	,	PUNCT
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m-530	138	13	1	1	NUM
m-530	138	14	1	1	NUM
m-530	138	15	1	1	NUM
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m-530	138	17	n	n	ADP
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m-530	140	8	x	x	PUNCT
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m-530	140	11			NUM
m-530	140	12			SYM
m-530	140	13			NUM
m-530	140	14			PROPN
m-530	141	1			INTJ
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m-530	141	3			PROPN
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m-530	141	5			ADV
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m-530	141	7			VERB
m-530	141	8			NOUN
m-530	141	9			PROPN
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m-530	141	13			ADP
m-530	141	14			NOUN
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m-530	142	9	,	,	PUNCT
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m-530	146	2			ADP
m-530	146	3			NOUN
m-530	146	4			ADJ
m-530	147	1			PROPN
m-530	147	2			PROPN
m-530	147	3			PROPN
m-530	147	4			VERB
m-530	147	5			NOUN
m-530	147	6			PROPN
m-530	147	7			NOUN
m-530	147	8			VERB
m-530	147	9			PROPN
m-530	147	10			PROPN
m-530	147	11			X
m-530	147	12	.	.	PUNCT
m-530	148	1	(	(	PUNCT
m-530	148	2	21	21	NUM
m-530	148	3	)	)	PUNCT
m-530	148	4	from	from	ADP
m-530	148	5	equation	equation	NOUN
m-530	148	6	(	(	PUNCT
m-530	148	7	18	18	NUM
m-530	148	8	)	)	PUNCT
m-530	148	9	,	,	PUNCT
m-530	148	10	for	for	ADP
m-530	148	11	1c	1c	NUM
m-530	148	12	c	c	PROPN
m-530	148	13			ADV
m-530	148	14	,	,	PUNCT
m-530	148	15	we	we	PRON
m-530	148	16	have	have	VERB
m-530	148	17			NOUN
m-530	149	1			PUNCT
m-530	149	2			NOUN
m-530	149	3			SYM
m-530	149	4			NOUN
m-530	149	5			SYM
m-530	149	6			NOUN
m-530	149	7			ADJ
m-530	149	8			PROPN
m-530	149	9			NOUN
m-530	149	10	112	112	NOUN
m-530	149	11	1	1	NUM
m-530	149	12	1	1	NUM
m-530	149	13	2	2	NUM
m-530	149	14	1	1	NUM
m-530	149	15	1	1	NUM
m-530	149	16	1	1	NUM
m-530	149	17	1	1	NUM
m-530	149	18	c	c	NOUN
m-530	149	19	n	n	SYM
m-530	149	20	ac	ac	ADV
m-530	150	1	i	i	PRON
m-530	150	2	i	i	PRON
m-530	150	3	n	n	VERB
m-530	150	4	d	d	X
m-530	150	5	c	c	NOUN
m-530	150	6	e	e	X
m-530	150	7	log	log	VERB
m-530	150	8	x	x	PUNCT
m-530	150	9	n	n	CCONJ
m-530	150	10	d	d	NOUN
m-530	150	11			NOUN
m-530	150	12			VERB
m-530	150	13			NOUN
m-530	150	14			PROPN
m-530	150	15			PROPN
m-530	150	16			PROPN
m-530	150	17			PROPN
m-530	150	18			NOUN
m-530	150	19			NUM
m-530	150	20			PROPN
m-530	150	21			ADV
m-530	150	22			VERB
m-530	150	23			ADP
m-530	151	1			PROPN
m-530	151	2			PROPN
m-530	151	3			VERB
m-530	151	4			PROPN
m-530	151	5			PROPN
m-530	151	6			VERB
m-530	151	7			NOUN
m-530	151	8			PROPN
m-530	151	9			PROPN
m-530	151	10			ADV
m-530	151	11			PROPN
m-530	151	12			PROPN
m-530	151	13			NOUN
m-530	151	14			X
m-530	151	15	.	.	PUNCT
m-530	152	1	(	(	PUNCT
m-530	152	2	22	22	NUM
m-530	152	3	)	)	PUNCT
m-530	152	4	4	4	NUM
m-530	152	5	.	.	PUNCT
m-530	152	6	bayes	bayes	PROPN
m-530	152	7	estimators	estimator	NOUN
m-530	152	8	under	under	ADP
m-530	152	9			NOUN
m-530	152	10	1	1	NOUN
m-530	152	11	g	g	PROPN
m-530	152	12			PROPN
m-530	152	13	from	from	ADP
m-530	152	14	equation	equation	NOUN
m-530	152	15	(	(	PUNCT
m-530	152	16	6	6	NUM
m-530	152	17	)	)	PUNCT
m-530	152	18	,	,	PUNCT
m-530	152	19	on	on	ADP
m-530	152	20	using	use	VERB
m-530	152	21	(	(	PUNCT
m-530	152	22	19	19	NUM
m-530	152	23	)	)	PUNCT
m-530	152	24	,	,	PUNCT
m-530	152	25	the	the	DET
m-530	152	26	bayes	bayes	PROPN
m-530	152	27	estimator	estimator	NOUN
m-530	152	28	of	of	ADP
m-530	152	29	θ	θ	PROPN
m-530	152	30	under	under	ADP
m-530	152	31	squared	square	VERB
m-530	152	32	error	error	NOUN
m-530	152	33	loss	loss	NOUN
m-530	152	34	function	function	NOUN
m-530	152	35	is	be	AUX
m-530	152	36	given	give	VERB
m-530	152	37	by	by	ADP
m-530	152	38			NOUN
m-530	152	39			SYM
m-530	152	40			NOUN
m-530	152	41			NOUN
m-530	152	42			PROPN
m-530	153	1	112	112	NUM
m-530	153	2	1	1	NUM
m-530	153	3	1	1	NUM
m-530	153	4	1	1	NUM
m-530	153	5	1	1	NUM
m-530	153	6	1	1	NUM
m-530	153	7	n	n	PRON
m-530	153	8	a	a	PRON
m-530	153	9	s	s	X
m-530	154	1	i	i	PRON
m-530	154	2	i	i	PRON
m-530	154	3	n	n	VERB
m-530	154	4	d	d	NOUN
m-530	154	5	log	log	NOUN
m-530	154	6	x	x	SYM
m-530	154	7			NOUN
m-530	154	8			X
m-530	154	9			PUNCT
m-530	154	10			PROPN
m-530	154	11			NUM
m-530	154	12			NUM
m-530	154	13			NOUN
m-530	154	14			PROPN
m-530	154	15			PROPN
m-530	154	16			PROPN
m-530	154	17			VERB
m-530	154	18			PROPN
m-530	154	19			PUNCT
m-530	154	20			PROPN
m-530	154	21			PROPN
m-530	154	22			VERB
m-530	154	23			NOUN
m-530	154	24			NOUN
m-530	155	1			PROPN
m-530	155	2			NOUN
m-530	155	3			X
m-530	155	4	.	.	PUNCT
m-530	156	1	(	(	PUNCT
m-530	156	2	23	23	NUM
m-530	156	3	)	)	PUNCT
m-530	156	4	ijo	ijo	PROPN
m-530	156	5	international	international	PROPN
m-530	156	6	journal	journal	PROPN
m-530	156	7	of	of	ADP
m-530	156	8	mathematics	mathematics	PROPN
m-530	156	9	volume	volume	NOUN
m-530	156	10	4	4	NUM
m-530	156	11	|	|	NOUN
m-530	156	12	issue	issue	VERB
m-530	156	13	12	12	NUM
m-530	157	1	|	|	CCONJ
m-530	157	2	december	december	PROPN
m-530	157	3	2021	2021	NUM
m-530	157	4	|	|	ADV
m-530	157	5	http://www.ijojournals.com/index.php/m/index	http://www.ijojournals.com/index.php/m/index	NOUN
m-530	157	6	4	4	NUM
m-530	157	7	from	from	ADP
m-530	157	8	equation	equation	NOUN
m-530	157	9	(	(	PUNCT
m-530	157	10	8)	8)	NUM
m-530	157	11	,	,	PUNCT
m-530	157	12	on	on	ADP
m-530	157	13	using	use	VERB
m-530	157	14	(	(	PUNCT
m-530	157	15	20	20	NUM
m-530	157	16	)	)	PUNCT
m-530	157	17	,	,	PUNCT
m-530	157	18	the	the	DET
m-530	157	19	bayes	bayes	PROPN
m-530	157	20	estimator	estimator	NOUN
m-530	157	21	of	of	ADP
m-530	157	22	θ	θ	PROPN
m-530	157	23	under	under	ADP
m-530	157	24	precautionary	precautionary	ADJ
m-530	157	25	loss	loss	NOUN
m-530	157	26	function	function	NOUN
m-530	157	27	is	be	AUX
m-530	157	28	obtained	obtain	VERB
m-530	157	29	as	as	ADP
m-530	157	30			NOUN
m-530	157	31			PROPN
m-530	157	32			NOUN
m-530	157	33			SYM
m-530	157	34			NOUN
m-530	158	1			NOUN
m-530	158	2			PROPN
m-530	158	3	111	111	NUM
m-530	158	4	2	2	NUM
m-530	158	5	2	2	NUM
m-530	158	6	1	1	NUM
m-530	158	7	2	2	NUM
m-530	158	8	1	1	NUM
m-530	158	9	1	1	NUM
m-530	158	10	1	1	NUM
m-530	158	11	1	1	NUM
m-530	158	12	n	n	NOUN
m-530	158	13	a	a	DET
m-530	158	14	p	p	X
m-530	159	1	i	i	PRON
m-530	159	2	i	i	PRON
m-530	159	3	n	n	VERB
m-530	159	4	d	d	PROPN
m-530	159	5	n	n	PROPN
m-530	159	6	d	d	NOUN
m-530	159	7	log	log	NOUN
m-530	159	8	x	x	SYM
m-530	159	9			NOUN
m-530	159	10			X
m-530	159	11			PUNCT
m-530	159	12			PROPN
m-530	159	13			NUM
m-530	159	14			NUM
m-530	159	15			NOUN
m-530	159	16			PROPN
m-530	159	17			PROPN
m-530	159	18			PROPN
m-530	159	19			VERB
m-530	159	20			PROPN
m-530	159	21			PUNCT
m-530	159	22			PROPN
m-530	159	23			VERB
m-530	159	24			PROPN
m-530	159	25			PROPN
m-530	159	26			PRON
m-530	159	27			NOUN
m-530	159	28			NOUN
m-530	159	29			NOUN
m-530	160	1			PROPN
m-530	160	2			PROPN
m-530	160	3			X
m-530	161	1			NUM
m-530	161	2			NOUN
m-530	161	3			X
m-530	161	4	.	.	PUNCT
m-530	162	1	(	(	PUNCT
m-530	162	2	24	24	NUM
m-530	162	3	)	)	PUNCT
m-530	162	4	from	from	ADP
m-530	162	5	equation	equation	NOUN
m-530	162	6	(	(	PUNCT
m-530	162	7	10	10	NUM
m-530	162	8	)	)	PUNCT
m-530	162	9	,	,	PUNCT
m-530	162	10	on	on	ADP
m-530	162	11	using	use	VERB
m-530	162	12	(	(	PUNCT
m-530	162	13	21	21	NUM
m-530	162	14	)	)	PUNCT
m-530	162	15	,	,	PUNCT
m-530	162	16	the	the	DET
m-530	162	17	bayes	bayes	PROPN
m-530	162	18	estimator	estimator	NOUN
m-530	162	19	of	of	ADP
m-530	162	20	θ	θ	PROPN
m-530	162	21	under	under	ADP
m-530	162	22	entropy	entropy	NOUN
m-530	162	23	loss	loss	NOUN
m-530	162	24	function	function	NOUN
m-530	162	25	is	be	AUX
m-530	162	26	given	give	VERB
m-530	162	27	by	by	ADP
m-530	162	28			NOUN
m-530	162	29			SYM
m-530	162	30			NOUN
m-530	162	31			NOUN
m-530	162	32			PROPN
m-530	162	33	112	112	NUM
m-530	162	34	1	1	NUM
m-530	162	35	1	1	NUM
m-530	162	36	1	1	NUM
m-530	162	37	1	1	NUM
m-530	162	38	n	n	NOUN
m-530	162	39	a	a	PRON
m-530	163	1	e	e	NOUN
m-530	164	1	i	i	PRON
m-530	165	1	i	i	PRON
m-530	166	1	n	n	VERB
m-530	167	1	d	d	X
m-530	167	2	log	log	NOUN
m-530	167	3	x	x	SYM
m-530	167	4			NOUN
m-530	167	5			X
m-530	167	6			PUNCT
m-530	167	7			PROPN
m-530	167	8			NUM
m-530	167	9			NUM
m-530	167	10			NOUN
m-530	167	11			PROPN
m-530	167	12			PROPN
m-530	167	13			PROPN
m-530	167	14			VERB
m-530	167	15			PROPN
m-530	167	16			PROPN
m-530	167	17			PROPN
m-530	167	18			VERB
m-530	167	19			NOUN
m-530	167	20			NOUN
m-530	167	21			PROPN
m-530	167	22			NOUN
m-530	167	23			X
m-530	167	24	.	.	PUNCT
m-530	168	1	(	(	PUNCT
m-530	168	2	25	25	NUM
m-530	168	3	)	)	PUNCT
m-530	168	4	from	from	ADP
m-530	168	5	equation	equation	NOUN
m-530	168	6	(	(	PUNCT
m-530	168	7	12	12	NUM
m-530	168	8	)	)	PUNCT
m-530	168	9	,	,	PUNCT
m-530	168	10	on	on	ADP
m-530	168	11	using	use	VERB
m-530	168	12	(	(	PUNCT
m-530	168	13	19	19	NUM
m-530	168	14	)	)	PUNCT
m-530	168	15	and	and	CCONJ
m-530	168	16	(	(	PUNCT
m-530	168	17	21	21	NUM
m-530	168	18	)	)	PUNCT
m-530	168	19	,	,	PUNCT
m-530	168	20	the	the	DET
m-530	168	21	bayes	bayes	PROPN
m-530	168	22	estimator	estimator	NOUN
m-530	168	23	of	of	ADP
m-530	168	24	θ	θ	PROPN
m-530	168	25	under	under	ADP
m-530	168	26	k	k	ADJ
m-530	168	27	-	-	PUNCT
m-530	168	28	loss	loss	NOUN
m-530	168	29	function	function	NOUN
m-530	168	30	is	be	AUX
m-530	168	31	given	give	VERB
m-530	168	32	by	by	ADP
m-530	168	33			NOUN
m-530	168	34			PROPN
m-530	168	35			PROPN
m-530	168	36			NOUN
m-530	168	37			NOUN
m-530	168	38			PROPN
m-530	169	1	1	1	NUM
m-530	169	2	2	2	NUM
m-530	169	3	112	112	NUM
m-530	169	4	1	1	NUM
m-530	169	5	1	1	NUM
m-530	169	6	1	1	NUM
m-530	169	7	1	1	NUM
m-530	169	8	1	1	NUM
m-530	169	9	n	n	NOUN
m-530	169	10	a	a	DET
m-530	170	1	k	k	X
m-530	171	1	i	i	PRON
m-530	171	2	i	i	PRON
m-530	171	3	n	n	VERB
m-530	171	4	d	d	PROPN
m-530	171	5	n	n	PROPN
m-530	171	6	d	d	NOUN
m-530	171	7	log	log	NOUN
m-530	171	8	x	x	SYM
m-530	171	9			NOUN
m-530	171	10			X
m-530	171	11			PUNCT
m-530	171	12			PROPN
m-530	171	13			NUM
m-530	171	14			NUM
m-530	171	15			NOUN
m-530	171	16			PROPN
m-530	171	17			PROPN
m-530	171	18			PROPN
m-530	171	19			VERB
m-530	171	20			PROPN
m-530	171	21			PUNCT
m-530	171	22			PROPN
m-530	171	23			PROPN
m-530	171	24			NOUN
m-530	171	25			PRON
m-530	171	26			NOUN
m-530	171	27			NOUN
m-530	171	28			NOUN
m-530	171	29			PROPN
m-530	171	30			PROPN
m-530	172	1			X
m-530	173	1			NUM
m-530	173	2			NOUN
m-530	173	3			X
m-530	173	4	.	.	PUNCT
m-530	174	1	(	(	PUNCT
m-530	174	2	26	26	NUM
m-530	174	3	)	)	PUNCT
m-530	174	4	from	from	ADP
m-530	174	5	equation	equation	NOUN
m-530	174	6	(	(	PUNCT
m-530	174	7	14	14	NUM
m-530	174	8	)	)	PUNCT
m-530	174	9	,	,	PUNCT
m-530	174	10	on	on	ADP
m-530	174	11	using	use	VERB
m-530	174	12	(	(	PUNCT
m-530	174	13	18	18	NUM
m-530	174	14	)	)	PUNCT
m-530	174	15	and	and	CCONJ
m-530	174	16	(	(	PUNCT
m-530	174	17	22	22	NUM
m-530	174	18	)	)	PUNCT
m-530	174	19	,	,	PUNCT
m-530	174	20	the	the	DET
m-530	174	21	bayes	bayes	PROPN
m-530	174	22	estimator	estimator	NOUN
m-530	174	23	of	of	ADP
m-530	174	24	θ	θ	PROPN
m-530	174	25	under	under	ADP
m-530	174	26	al	al	PROPN
m-530	174	27	-	-	PUNCT
m-530	174	28	bayyati	bayyati	PROPN
m-530	174	29	’s	’s	PART
m-530	174	30	loss	loss	NOUN
m-530	174	31	function	function	NOUN
m-530	174	32	comes	come	VERB
m-530	174	33	out	out	ADP
m-530	174	34	to	to	PART
m-530	174	35	be	be	AUX
m-530	174	36			NOUN
m-530	174	37			SYM
m-530	174	38			NOUN
m-530	174	39			NOUN
m-530	174	40			PROPN
m-530	174	41	112	112	NUM
m-530	174	42	1	1	NUM
m-530	174	43	1	1	NUM
m-530	174	44	1	1	NUM
m-530	174	45	1	1	NUM
m-530	174	46	1	1	NUM
m-530	174	47	n	n	PROPN
m-530	174	48	a	a	PROPN
m-530	175	1	al	al	PROPN
m-530	176	1	i	i	PRON
m-530	177	1	i	i	PRON
m-530	178	1	n	n	VERB
m-530	178	2	d	d	NOUN
m-530	178	3	c	c	NOUN
m-530	178	4	log	log	NOUN
m-530	178	5	x	x	X
m-530	178	6			NOUN
m-530	178	7			X
m-530	178	8			PUNCT
m-530	178	9			PROPN
m-530	178	10			NUM
m-530	178	11			NUM
m-530	178	12			NOUN
m-530	178	13			PROPN
m-530	178	14			PROPN
m-530	178	15			PROPN
m-530	178	16			VERB
m-530	178	17			PROPN
m-530	178	18			PUNCT
m-530	178	19			PUNCT
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m-530	178	21			PROPN
m-530	178	22			VERB
m-530	178	23			NOUN
m-530	178	24			NOUN
m-530	178	25			PROPN
m-530	178	26			NOUN
m-530	178	27			X
m-530	178	28	.	.	PUNCT
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m-530	179	2	27	27	NUM
m-530	179	3	)	)	PUNCT
m-530	179	4	5	5	NUM
m-530	179	5	.	.	PUNCT
m-530	179	6	posterior	posterior	ADJ
m-530	179	7	density	density	NOUN
m-530	179	8	under	under	ADP
m-530	179	9			NOUN
m-530	179	10	2	2	NOUN
m-530	179	11	g	g	NOUN
m-530	179	12			PROPN
m-530	179	13	under	under	ADP
m-530	179	14			NOUN
m-530	179	15	2	2	NOUN
m-530	179	16	g	g	PROPN
m-530	179	17			PROPN
m-530	179	18	,	,	PUNCT
m-530	179	19	the	the	DET
m-530	179	20	posterior	posterior	ADJ
m-530	179	21	density	density	NOUN
m-530	179	22	of	of	ADP
m-530	179	23	θ	θ	PROPN
m-530	179	24	,	,	PUNCT
m-530	179	25	using	use	VERB
m-530	179	26	equation	equation	NOUN
m-530	179	27	(	(	PUNCT
m-530	179	28	2	2	NUM
m-530	179	29	)	)	PUNCT
m-530	179	30	,	,	PUNCT
m-530	179	31	is	be	AUX
m-530	179	32	obtained	obtain	VERB
m-530	179	33	as	as	ADP
m-530	179	34			NOUN
m-530	179	35			PROPN
m-530	179	36			NOUN
m-530	180	1			SYM
m-530	180	2			NOUN
m-530	180	3			SYM
m-530	180	4			NOUN
m-530	180	5			SYM
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m-530	180	7			SYM
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m-530	180	9			SYM
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m-530	180	11			ADJ
m-530	180	12			PROPN
m-530	180	13			PROPN
m-530	180	14			NOUN
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m-530	180	20			SYM
m-530	180	21			NOUN
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m-530	180	24			SYM
m-530	180	25			NOUN
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m-530	180	27			NOUN
m-530	180	28			SYM
m-530	180	29			NOUN
m-530	180	30			PROPN
m-530	180	31	1211	1211	NUM
m-530	180	32	1	1	NUM
m-530	180	33	12	12	NUM
m-530	180	34	1	1	NUM
m-530	180	35	1	1	NUM
m-530	180	36	11	11	NUM
m-530	180	37	2	2	NUM
m-530	180	38	1	1	NUM
m-530	180	39	1	1	NUM
m-530	180	40	1	1	NUM
m-530	180	41	1	1	NUM
m-530	180	42	1	1	NUM
m-530	180	43	1	1	NUM
m-530	180	44	1	1	NUM
m-530	180	45	1	1	NUM
m-530	180	46	1	1	NUM
m-530	180	47	2	2	NUM
m-530	180	48	1	1	NUM
m-530	180	49	1	1	NUM
m-530	180	50	n	n	ADP
m-530	180	51	a	a	PRON
m-530	180	52	a	a	PRON
m-530	180	53	an	an	PRON
m-530	180	54	i	i	PRON
m-530	181	1	i	i	PRON
m-530	181	2	i	i	PRON
m-530	182	1	i	i	VERB
m-530	182	2	i	i	VERB
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m-530	183	1	a	a	PRON
m-530	183	2	i	i	PRON
m-530	184	1	i	i	PRON
m-530	184	2	an	an	INTJ
m-530	185	1	i	i	PRON
m-530	185	2	i	i	PRON
m-530	185	3	a	a	DET
m-530	185	4	x	x	X
m-530	185	5	x	x	SYM
m-530	185	6	x	x	SYM
m-530	185	7	x	x	NOUN
m-530	185	8	exp	exp	NOUN
m-530	185	9	log	log	NOUN
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m-530	185	11	e	e	NOUN
m-530	185	12	f	f	X
m-530	185	13	x	x	X
m-530	185	14	a	a	X
m-530	185	15	x	x	X
m-530	185	16	x	x	X
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m-530	185	18			NUM
m-530	185	19			NUM
m-530	185	20			NUM
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m-530	185	23			X
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m-530	185	26			NUM
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m-530	185	38			VERB
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m-530	185	41			CCONJ
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m-530	185	62			X
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m-530	186	2			VERB
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m-530	186	6			VERB
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m-530	186	8			ADJ
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m-530	186	11			VERB
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m-530	187	7			ADV
m-530	187	8			NOUN
m-530	187	9			X
m-530	187	10			PUNCT
m-530	188	1			PROPN
m-530	188	2			NOUN
m-530	188	3			PUNCT
m-530	188	4			X
m-530	188	5			PUNCT
m-530	189	1			PROPN
m-530	189	2			ADV
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m-530	189	4			NUM
m-530	189	5			NOUN
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m-530	189	29	a	a	PRON
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m-530	190	1	i	i	PRON
m-530	191	1	i	i	PRON
m-530	192	1	i	i	VERB
m-530	193	1	n	n	VERB
m-530	194	1	a	a	PRON
m-530	194	2	i	i	PRON
m-530	195	1	i	i	INTJ
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m-530	195	3	x	x	SYM
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m-530	195	5	exp	exp	NOUN
m-530	195	6	log	log	NOUN
m-530	195	7	x	x	PUNCT
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m-530	196	43			VERB
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m-530	239	8			ADV
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m-530	241	1			SYM
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m-530	267	13			VERB
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m-530	270	10	(	(	PUNCT
m-530	270	11	6	6	NUM
m-530	270	12	)	)	PUNCT
m-530	270	13	,	,	PUNCT
m-530	270	14	on	on	ADP
m-530	270	15	using	use	VERB
m-530	270	16	(	(	PUNCT
m-530	270	17	30	30	NUM
m-530	270	18	)	)	PUNCT
m-530	270	19	,	,	PUNCT
m-530	270	20	the	the	DET
m-530	270	21	bayes	bayes	PROPN
m-530	270	22	estimator	estimator	NOUN
m-530	270	23	of	of	ADP
m-530	270	24	θ	θ	PROPN
m-530	270	25	under	under	ADP
m-530	270	26	squared	square	VERB
m-530	270	27	error	error	NOUN
m-530	270	28	loss	loss	NOUN
m-530	270	29	function	function	NOUN
m-530	270	30	is	be	AUX
m-530	270	31	given	give	VERB
m-530	270	32	by	by	ADP
m-530	270	33			NOUN
m-530	270	34			SYM
m-530	270	35			NOUN
m-530	270	36			NOUN
m-530	270	37			PROPN
m-530	271	1	112	112	NUM
m-530	271	2	1	1	NUM
m-530	271	3	1	1	NUM
m-530	271	4	1	1	NUM
m-530	271	5	1	1	NUM
m-530	271	6	n	n	PRON
m-530	271	7	a	a	PRON
m-530	271	8	s	s	X
m-530	272	1	i	i	PRON
m-530	272	2	i	i	PRON
m-530	272	3	n	n	VERB
m-530	272	4	log	log	VERB
m-530	272	5	x	x	PUNCT
m-530	272	6			NOUN
m-530	272	7			X
m-530	272	8			PROPN
m-530	272	9			ADJ
m-530	272	10			PROPN
m-530	272	11			PROPN
m-530	272	12			NUM
m-530	272	13			NUM
m-530	272	14			NOUN
m-530	272	15			PROPN
m-530	272	16			PROPN
m-530	272	17			PROPN
m-530	272	18			PROPN
m-530	272	19			ADV
m-530	272	20			PUNCT
m-530	272	21			PROPN
m-530	272	22			PROPN
m-530	272	23			VERB
m-530	272	24			NOUN
m-530	272	25			NOUN
m-530	272	26			PROPN
m-530	272	27			NOUN
m-530	272	28			X
m-530	272	29	.	.	PUNCT
m-530	273	1	(	(	PUNCT
m-530	273	2	34	34	NUM
m-530	273	3	)	)	PUNCT
m-530	273	4	from	from	ADP
m-530	273	5	equation	equation	NOUN
m-530	273	6	(	(	PUNCT
m-530	273	7	8)	8)	NUM
m-530	273	8	,	,	PUNCT
m-530	273	9	on	on	ADP
m-530	273	10	using	use	VERB
m-530	273	11	(	(	PUNCT
m-530	273	12	31	31	NUM
m-530	273	13	)	)	PUNCT
m-530	273	14	,	,	PUNCT
m-530	273	15	the	the	DET
m-530	273	16	bayes	bayes	PROPN
m-530	273	17	estimator	estimator	NOUN
m-530	273	18	of	of	ADP
m-530	273	19	θ	θ	PROPN
m-530	273	20	under	under	ADP
m-530	273	21	precautionary	precautionary	ADJ
m-530	273	22	loss	loss	NOUN
m-530	273	23	function	function	NOUN
m-530	273	24	is	be	AUX
m-530	273	25	obtained	obtain	VERB
m-530	273	26	as	as	ADP
m-530	273	27			NOUN
m-530	273	28			PROPN
m-530	273	29			NOUN
m-530	273	30			SYM
m-530	273	31			NOUN
m-530	273	32			NOUN
m-530	273	33			PROPN
m-530	273	34	1	1	NUM
m-530	273	35	2	2	NUM
m-530	273	36	112	112	NUM
m-530	273	37	1	1	NUM
m-530	273	38	1	1	NUM
m-530	273	39	1	1	NUM
m-530	273	40	1	1	NUM
m-530	273	41	1	1	NUM
m-530	273	42	n	n	NOUN
m-530	273	43	a	a	DET
m-530	273	44	p	p	X
m-530	274	1	i	i	PRON
m-530	275	1	i	i	PRON
m-530	275	2	n	n	VERB
m-530	275	3	n	n	CCONJ
m-530	275	4	log	log	VERB
m-530	275	5	x	x	PUNCT
m-530	275	6			NOUN
m-530	275	7			NOUN
m-530	275	8			X
m-530	275	9			PROPN
m-530	275	10			ADJ
m-530	275	11			PROPN
m-530	275	12			PROPN
m-530	275	13			NUM
m-530	275	14			NUM
m-530	275	15			NOUN
m-530	275	16			PROPN
m-530	275	17			PROPN
m-530	275	18			PROPN
m-530	275	19			PROPN
m-530	275	20			PROPN
m-530	275	21			PROPN
m-530	275	22			PUNCT
m-530	275	23			PUNCT
m-530	275	24			PROPN
m-530	275	25			PROPN
m-530	275	26			PRON
m-530	275	27			NOUN
m-530	275	28			NOUN
m-530	275	29			NOUN
m-530	275	30			PROPN
m-530	275	31			PROPN
m-530	276	1			X
m-530	277	1			NUM
m-530	277	2			NOUN
m-530	277	3			X
m-530	277	4	.	.	PUNCT
m-530	278	1	(	(	PUNCT
m-530	278	2	35	35	NUM
m-530	278	3	)	)	PUNCT
m-530	278	4	from	from	ADP
m-530	278	5	equation	equation	NOUN
m-530	278	6	(	(	PUNCT
m-530	278	7	10	10	NUM
m-530	278	8	)	)	PUNCT
m-530	278	9	,	,	PUNCT
m-530	278	10	on	on	ADP
m-530	278	11	using	use	VERB
m-530	278	12	(	(	PUNCT
m-530	278	13	32	32	NUM
m-530	278	14	)	)	PUNCT
m-530	278	15	,	,	PUNCT
m-530	278	16	the	the	DET
m-530	278	17	bayes	bayes	PROPN
m-530	278	18	estimator	estimator	NOUN
m-530	278	19	of	of	ADP
m-530	278	20	θ	θ	PROPN
m-530	278	21	under	under	ADP
m-530	278	22	entropy	entropy	NOUN
m-530	278	23	loss	loss	NOUN
m-530	278	24	function	function	NOUN
m-530	278	25	is	be	AUX
m-530	278	26	given	give	VERB
m-530	278	27	by	by	ADP
m-530	278	28			NOUN
m-530	278	29			SYM
m-530	278	30			NOUN
m-530	278	31			NOUN
m-530	278	32			PROPN
m-530	278	33	112	112	NUM
m-530	278	34	1	1	NUM
m-530	278	35	1	1	NUM
m-530	278	36	1	1	NUM
m-530	278	37	1	1	NUM
m-530	278	38	1	1	NUM
m-530	278	39	n	n	NOUN
m-530	278	40	a	a	PRON
m-530	279	1	e	e	NOUN
m-530	280	1	i	i	PRON
m-530	281	1	i	i	PRON
m-530	281	2	n	n	VERB
m-530	281	3	log	log	VERB
m-530	281	4	x	x	PUNCT
m-530	281	5			NOUN
m-530	281	6			X
m-530	281	7			PROPN
m-530	281	8			ADJ
m-530	281	9			PROPN
m-530	281	10			PROPN
m-530	281	11			NUM
m-530	281	12			NUM
m-530	281	13			NOUN
m-530	281	14			PROPN
m-530	281	15			PROPN
m-530	281	16			PROPN
m-530	281	17			PROPN
m-530	281	18			PROPN
m-530	281	19			VERB
m-530	281	20			PUNCT
m-530	281	21			PROPN
m-530	281	22			PROPN
m-530	281	23			VERB
m-530	281	24			NOUN
m-530	281	25			NOUN
m-530	281	26			PROPN
m-530	281	27			NOUN
m-530	281	28			X
m-530	281	29	.	.	PUNCT
m-530	282	1	(	(	PUNCT
m-530	282	2	36	36	NUM
m-530	282	3	)	)	PUNCT
m-530	282	4	from	from	ADP
m-530	282	5	equation	equation	NOUN
m-530	282	6	(	(	PUNCT
m-530	282	7	12	12	NUM
m-530	282	8	)	)	PUNCT
m-530	282	9	,	,	PUNCT
m-530	282	10	on	on	ADP
m-530	282	11	using	use	VERB
m-530	282	12	(	(	PUNCT
m-530	282	13	30	30	NUM
m-530	282	14	)	)	PUNCT
m-530	282	15	and	and	CCONJ
m-530	282	16	(	(	PUNCT
m-530	282	17	32	32	NUM
m-530	282	18	)	)	PUNCT
m-530	282	19	,	,	PUNCT
m-530	282	20	the	the	DET
m-530	282	21	bayes	bayes	PROPN
m-530	282	22	estimator	estimator	NOUN
m-530	282	23	of	of	ADP
m-530	282	24	θ	θ	PROPN
m-530	282	25	under	under	ADP
m-530	282	26	k	k	ADJ
m-530	282	27	-	-	PUNCT
m-530	282	28	loss	loss	NOUN
m-530	282	29	function	function	NOUN
m-530	282	30	is	be	AUX
m-530	282	31	given	give	VERB
m-530	282	32	by	by	ADP
m-530	282	33			NOUN
m-530	282	34			PROPN
m-530	282	35			PROPN
m-530	282	36			NOUN
m-530	282	37			NOUN
m-530	282	38			PROPN
m-530	283	1	1	1	NUM
m-530	283	2	2	2	NUM
m-530	283	3	112	112	NUM
m-530	283	4	1	1	NUM
m-530	283	5	1	1	NUM
m-530	283	6	1	1	NUM
m-530	283	7	1	1	NUM
m-530	283	8	1	1	NUM
m-530	283	9	n	n	NOUN
m-530	283	10	a	a	DET
m-530	284	1	k	k	X
m-530	285	1	i	i	PRON
m-530	285	2	i	i	PRON
m-530	285	3	n	n	VERB
m-530	285	4	n	n	CCONJ
m-530	285	5	log	log	VERB
m-530	285	6	x	x	PUNCT
m-530	285	7			NOUN
m-530	285	8			NOUN
m-530	285	9			X
m-530	285	10			PROPN
m-530	285	11			ADJ
m-530	285	12			PROPN
m-530	285	13			PROPN
m-530	285	14			NUM
m-530	285	15			NUM
m-530	285	16			NOUN
m-530	285	17			PROPN
m-530	285	18			PROPN
m-530	285	19			PROPN
m-530	285	20			PROPN
m-530	285	21			ADV
m-530	285	22			PUNCT
m-530	285	23			PROPN
m-530	285	24			VERB
m-530	285	25			PROPN
m-530	285	26			PROPN
m-530	285	27			PRON
m-530	285	28			NOUN
m-530	285	29			NOUN
m-530	285	30			NOUN
m-530	286	1			PROPN
m-530	286	2			PROPN
m-530	286	3			X
m-530	287	1			NUM
m-530	287	2			NOUN
m-530	287	3			X
m-530	287	4	.	.	PUNCT
m-530	288	1	(	(	PUNCT
m-530	288	2	37	37	NUM
m-530	288	3	)	)	PUNCT
m-530	288	4	from	from	ADP
m-530	288	5	equation	equation	NOUN
m-530	288	6	(	(	PUNCT
m-530	288	7	14	14	NUM
m-530	288	8	)	)	PUNCT
m-530	288	9	,	,	PUNCT
m-530	288	10	on	on	ADP
m-530	288	11	using	use	VERB
m-530	288	12	(	(	PUNCT
m-530	288	13	29	29	NUM
m-530	288	14	)	)	PUNCT
m-530	288	15	and	and	CCONJ
m-530	288	16	(	(	PUNCT
m-530	288	17	33	33	NUM
m-530	288	18	)	)	PUNCT
m-530	288	19	,	,	PUNCT
m-530	288	20	the	the	DET
m-530	288	21	bayes	bayes	PROPN
m-530	288	22	estimator	estimator	NOUN
m-530	288	23	of	of	ADP
m-530	288	24	θ	θ	PROPN
m-530	288	25	under	under	ADP
m-530	288	26	al	al	PROPN
m-530	288	27	-	-	PUNCT
m-530	288	28	bayyati	bayyati	PROPN
m-530	288	29	’s	’s	PART
m-530	288	30	loss	loss	NOUN
m-530	288	31	function	function	NOUN
m-530	288	32	comes	come	VERB
m-530	288	33	out	out	ADP
m-530	288	34	to	to	PART
m-530	288	35	be	be	AUX
m-530	288	36			NOUN
m-530	288	37			SYM
m-530	288	38			NOUN
m-530	288	39			NOUN
m-530	288	40			PROPN
m-530	288	41	112	112	NUM
m-530	288	42	1	1	NUM
m-530	288	43	1	1	NUM
m-530	288	44	1	1	NUM
m-530	288	45	1	1	NUM
m-530	288	46	n	n	PROPN
m-530	288	47	a	a	PROPN
m-530	289	1	al	al	PROPN
m-530	290	1	i	i	PRON
m-530	291	1	i	i	PRON
m-530	292	1	n	n	VERB
m-530	292	2	c	c	NOUN
m-530	292	3	log	log	NOUN
m-530	292	4	x	x	PUNCT
m-530	292	5			NOUN
m-530	292	6			X
m-530	292	7			PROPN
m-530	292	8			ADJ
m-530	292	9			PROPN
m-530	292	10			PROPN
m-530	292	11			NUM
m-530	292	12			NUM
m-530	292	13			NOUN
m-530	292	14			PROPN
m-530	292	15			PROPN
m-530	292	16			PROPN
m-530	292	17			PROPN
m-530	292	18			PROPN
m-530	292	19			VERB
m-530	292	20			PUNCT
m-530	292	21			PROPN
m-530	292	22			PROPN
m-530	292	23			VERB
m-530	292	24			NOUN
m-530	292	25			NOUN
m-530	292	26			PROPN
m-530	292	27			NOUN
m-530	292	28			X
m-530	292	29	.	.	PUNCT
m-530	293	1	(	(	PUNCT
m-530	293	2	38	38	NUM
m-530	293	3	)	)	PUNCT
m-530	293	4	conclusion	conclusion	NOUN
m-530	293	5	in	in	ADP
m-530	293	6	this	this	DET
m-530	293	7	paper	paper	NOUN
m-530	293	8	,	,	PUNCT
m-530	293	9	we	we	PRON
m-530	293	10	have	have	AUX
m-530	293	11	obtained	obtain	VERB
m-530	293	12	a	a	DET
m-530	293	13	number	number	NOUN
m-530	293	14	of	of	ADP
m-530	293	15	estimators	estimator	NOUN
m-530	293	16	of	of	ADP
m-530	293	17	parameter	parameter	NOUN
m-530	293	18	of	of	ADP
m-530	293	19	gompertz	gompertz	NOUN
m-530	293	20	fréchet	fréchet	NOUN
m-530	293	21	distribution	distribution	NOUN
m-530	293	22	.	.	PUNCT
m-530	294	1	in	in	ADP
m-530	294	2	equation	equation	NOUN
m-530	294	3	(	(	PUNCT
m-530	294	4	4	4	X
m-530	294	5	)	)	PUNCT
m-530	294	6	we	we	PRON
m-530	294	7	have	have	AUX
m-530	294	8	obtained	obtain	VERB
m-530	294	9	the	the	DET
m-530	294	10	maximum	maximum	ADJ
m-530	294	11	likelihood	likelihood	NOUN
m-530	294	12	estimator	estimator	NOUN
m-530	294	13	of	of	ADP
m-530	294	14	the	the	DET
m-530	294	15	parameter	parameter	NOUN
m-530	294	16	.	.	PUNCT
m-530	295	1	in	in	ADP
m-530	295	2	equation	equation	NOUN
m-530	295	3	(	(	PUNCT
m-530	295	4	23	23	NUM
m-530	295	5	)	)	PUNCT
m-530	295	6	,	,	PUNCT
m-530	295	7	(	(	PUNCT
m-530	295	8	24	24	NUM
m-530	295	9	)	)	PUNCT
m-530	295	10	,	,	PUNCT
m-530	295	11	(	(	PUNCT
m-530	295	12	25	25	NUM
m-530	295	13	)	)	PUNCT
m-530	295	14	,	,	PUNCT
m-530	295	15	(	(	PUNCT
m-530	295	16	26	26	NUM
m-530	295	17	)	)	PUNCT
m-530	295	18	and	and	CCONJ
m-530	295	19	(	(	PUNCT
m-530	295	20	27	27	NUM
m-530	295	21	)	)	PUNCT
m-530	295	22	we	we	PRON
m-530	295	23	have	have	AUX
m-530	295	24	obtained	obtain	VERB
m-530	295	25	the	the	DET
m-530	295	26	bayes	bayes	NOUN
m-530	295	27	estimators	estimator	NOUN
m-530	295	28	under	under	ADP
m-530	295	29	different	different	ADJ
m-530	295	30	loss	loss	NOUN
m-530	295	31	functions	function	NOUN
m-530	295	32	using	use	VERB
m-530	295	33	quasi	quasi	NOUN
m-530	295	34	prior	prior	ADV
m-530	295	35	.	.	PUNCT
m-530	296	1	in	in	ADP
m-530	296	2	equation	equation	NOUN
m-530	296	3	(	(	PUNCT
m-530	296	4	34	34	NUM
m-530	296	5	)	)	PUNCT
m-530	296	6	,	,	PUNCT
m-530	296	7	(	(	PUNCT
m-530	296	8	35	35	NUM
m-530	296	9	)	)	PUNCT
m-530	296	10	,	,	PUNCT
m-530	296	11	(	(	PUNCT
m-530	296	12	36	36	NUM
m-530	296	13	)	)	PUNCT
m-530	296	14	,	,	PUNCT
m-530	296	15	(	(	PUNCT
m-530	296	16	37	37	NUM
m-530	296	17	)	)	PUNCT
m-530	296	18	and	and	CCONJ
m-530	296	19	(	(	PUNCT
m-530	296	20	38	38	NUM
m-530	296	21	)	)	PUNCT
m-530	296	22	we	we	PRON
m-530	296	23	have	have	AUX
m-530	296	24	obtained	obtain	VERB
m-530	296	25	the	the	DET
m-530	296	26	bayes	bayes	NOUN
m-530	296	27	estimators	estimator	NOUN
m-530	296	28	under	under	ADP
m-530	296	29	different	different	ADJ
m-530	296	30	loss	loss	NOUN
m-530	296	31	functions	function	NOUN
m-530	296	32	using	use	VERB
m-530	296	33	gamma	gamma	NOUN
m-530	296	34	prior	prior	ADV
m-530	296	35	.	.	PUNCT
m-530	297	1	in	in	ADP
m-530	297	2	the	the	DET
m-530	297	3	above	above	ADJ
m-530	297	4	equations	equation	NOUN
m-530	297	5	,	,	PUNCT
m-530	297	6	it	it	PRON
m-530	297	7	is	be	AUX
m-530	297	8	clear	clear	ADJ
m-530	297	9	that	that	SCONJ
m-530	297	10	the	the	DET
m-530	297	11	bayes	bayes	NOUN
m-530	297	12	estimators	estimator	NOUN
m-530	297	13	depend	depend	VERB
m-530	297	14	upon	upon	SCONJ
m-530	297	15	the	the	DET
m-530	297	16	parameters	parameter	NOUN
m-530	297	17	of	of	ADP
m-530	297	18	the	the	DET
m-530	297	19	prior	prior	ADJ
m-530	297	20	distribution	distribution	NOUN
m-530	297	21	.	.	PUNCT
m-530	298	1	we	we	PRON
m-530	298	2	therefore	therefore	ADV
m-530	298	3	recommend	recommend	VERB
m-530	298	4	that	that	SCONJ
m-530	298	5	the	the	DET
m-530	298	6	estimator	estimator	NOUN
m-530	298	7	’s	’s	PART
m-530	298	8	choice	choice	NOUN
m-530	298	9	lies	lie	VERB
m-530	298	10	according	accord	VERB
m-530	298	11	to	to	ADP
m-530	298	12	the	the	DET
m-530	298	13	value	value	NOUN
m-530	298	14	of	of	ADP
m-530	298	15	the	the	DET
m-530	298	16	prior	prior	ADJ
m-530	298	17	distribution	distribution	NOUN
m-530	298	18	which	which	PRON
m-530	298	19	in	in	ADP
m-530	298	20	turn	turn	NOUN
m-530	298	21	depends	depend	VERB
m-530	298	22	on	on	ADP
m-530	298	23	the	the	DET
m-530	298	24	situation	situation	NOUN
m-530	298	25	at	at	ADP
m-530	298	26	hand	hand	NOUN
m-530	298	27	.	.	PUNCT
m-530	299	1	references	reference	NOUN
m-530	299	2	[	[	X
m-530	299	3	1	1	NUM
m-530	299	4	]	]	PUNCT
m-530	299	5	rasheed	rasheed	NOUN
m-530	299	6	,	,	PUNCT
m-530	299	7	n	n	CCONJ
m-530	299	8	,	,	PUNCT
m-530	299	9	(	(	PUNCT
m-530	299	10	2020	2020	NUM
m-530	299	11	):	):	PUNCT
m-530	299	12	“	"	PUNCT
m-530	299	13	topp	topp	NOUN
m-530	299	14	-	-	PUNCT
m-530	299	15	leone	leone	NOUN
m-530	299	16	dagum	dagum	NOUN
m-530	299	17	distribution	distribution	NOUN
m-530	299	18	:	:	PUNCT
m-530	299	19	properties	property	NOUN
m-530	299	20	and	and	CCONJ
m-530	299	21	its	its	PRON
m-530	299	22	applications	application	NOUN
m-530	299	23	”	"	PUNCT
m-530	299	24	.	.	PUNCT
m-530	300	1	research	research	NOUN
m-530	300	2	journal	journal	PROPN
m-530	300	3	of	of	ADP
m-530	300	4	mathematical	mathematical	ADJ
m-530	300	5	and	and	CCONJ
m-530	300	6	statistical	statistical	ADJ
m-530	300	7	sciences	science	NOUN
m-530	300	8	,	,	PUNCT
m-530	300	9	vol	vol	NOUN
m-530	300	10	.	.	PUNCT
m-530	301	1	8(1	8(1	NOUN
m-530	301	2	)	)	PUNCT
m-530	301	3	,	,	PUNCT
m-530	301	4	16	16	NUM
m-530	301	5	-	-	SYM
m-530	301	6	30	30	NUM
m-530	301	7	.	.	PUNCT
m-530	302	1	ijo	ijo	PROPN
m-530	302	2	international	international	PROPN
m-530	302	3	journal	journal	PROPN
m-530	302	4	of	of	ADP
m-530	302	5	mathematics	mathematics	PROPN
m-530	302	6	volume	volume	NOUN
m-530	302	7	4	4	NUM
m-530	302	8	|	|	NOUN
m-530	302	9	issue	issue	VERB
m-530	302	10	12	12	NUM
m-530	303	1	|	|	CCONJ
m-530	303	2	december	december	PROPN
m-530	303	3	2021	2021	NUM
m-530	303	4	|	|	ADV
m-530	303	5	http://www.ijojournals.com/index.php/m/index	http://www.ijojournals.com/index.php/m/index	NOUN
m-530	303	6	7	7	NUM
m-530	303	7	[	[	X
m-530	303	8	2	2	NUM
m-530	303	9	]	]	X
m-530	303	10	zellner	zellner	NOUN
m-530	303	11	,	,	PUNCT
m-530	303	12	a.	a.	NOUN
m-530	303	13	,	,	PUNCT
m-530	303	14	(	(	PUNCT
m-530	303	15	1986	1986	NUM
m-530	303	16	):	):	PUNCT
m-530	303	17	“	"	PUNCT
m-530	303	18	bayesian	bayesian	NOUN
m-530	303	19	estimation	estimation	NOUN
m-530	303	20	and	and	CCONJ
m-530	303	21	prediction	prediction	NOUN
m-530	303	22	using	use	VERB
m-530	303	23	asymmetric	asymmetric	ADJ
m-530	303	24	loss	loss	NOUN
m-530	303	25	functions	function	NOUN
m-530	303	26	”	"	PUNCT
m-530	303	27	.	.	PUNCT
m-530	304	1	jour	jour	X
m-530	304	2	.	.	PUNCT
m-530	304	3	amer	amer	PROPN
m-530	304	4	.	.	PUNCT
m-530	304	5	stat	stat	PROPN
m-530	304	6	.	.	PUNCT
m-530	305	1	assoc	assoc	PROPN
m-530	305	2	.	.	PROPN
m-530	305	3	,	,	PUNCT
m-530	305	4	91	91	NUM
m-530	305	5	,	,	PUNCT
m-530	305	6	446	446	NUM
m-530	305	7	-	-	SYM
m-530	305	8	451	451	NUM
m-530	305	9	.	.	PUNCT
m-530	306	1	[	[	X
m-530	306	2	3	3	NUM
m-530	306	3	]	]	X
m-530	306	4	basu	basu	PROPN
m-530	306	5	,	,	PUNCT
m-530	306	6	a.	a.	NOUN
m-530	306	7	p.	p.	PROPN
m-530	306	8	and	and	CCONJ
m-530	306	9	ebrahimi	ebrahimi	PROPN
m-530	306	10	,	,	PUNCT
m-530	306	11	n.	n.	PROPN
m-530	306	12	,	,	PUNCT
m-530	306	13	(	(	PUNCT
m-530	306	14	1991	1991	NUM
m-530	306	15	):	):	PUNCT
m-530	306	16	“	"	PUNCT
m-530	306	17	bayesian	bayesian	NOUN
m-530	306	18	approach	approach	NOUN
m-530	306	19	to	to	ADP
m-530	306	20	life	life	NOUN
m-530	306	21	testing	testing	NOUN
m-530	306	22	and	and	CCONJ
m-530	306	23	reliability	reliability	NOUN
m-530	306	24	estimation	estimation	NOUN
m-530	306	25	using	use	VERB
m-530	306	26	asymmetric	asymmetric	ADJ
m-530	306	27	loss	loss	NOUN
m-530	306	28	function	function	NOUN
m-530	306	29	”	"	PUNCT
m-530	306	30	.	.	PUNCT
m-530	307	1	jour	jour	X
m-530	307	2	.	.	PUNCT
m-530	307	3	stat	stat	PROPN
m-530	307	4	.	.	PUNCT
m-530	308	1	plann	plann	PROPN
m-530	308	2	.	.	PUNCT
m-530	309	1	infer	infer	VERB
m-530	309	2	.	.	PUNCT
m-530	310	1	,	,	PUNCT
m-530	310	2	29	29	NUM
m-530	310	3	,	,	PUNCT
m-530	310	4	21	21	NUM
m-530	310	5	-	-	SYM
m-530	310	6	31	31	NUM
m-530	310	7	.	.	PUNCT
m-530	311	1	[	[	X
m-530	311	2	4	4	X
m-530	311	3	]	]	SYM
m-530	311	4	norstrom	norstrom	PROPN
m-530	311	5	,	,	PUNCT
m-530	311	6	j.	j.	PROPN
m-530	311	7	g.	g.	PROPN
m-530	311	8	,	,	PUNCT
m-530	311	9	(	(	PUNCT
m-530	311	10	1996	1996	NUM
m-530	311	11	):	):	PUNCT
m-530	311	12	“	"	PUNCT
m-530	311	13	the	the	DET
m-530	311	14	use	use	NOUN
m-530	311	15	of	of	ADP
m-530	311	16	precautionary	precautionary	ADJ
m-530	311	17	loss	loss	NOUN
m-530	311	18	functions	function	NOUN
m-530	311	19	in	in	ADP
m-530	311	20	risk	risk	NOUN
m-530	311	21	analysis	analysis	NOUN
m-530	311	22	”	"	PUNCT
m-530	311	23	.	.	PUNCT
m-530	312	1	ieee	ieee	PROPN
m-530	312	2	trans	trans	PROPN
m-530	312	3	.	.	PROPN
m-530	312	4	reliab	reliab	PROPN
m-530	312	5	.	.	PUNCT
m-530	312	6	,	,	PUNCT
m-530	312	7	45(3	45(3	NUM
m-530	312	8	)	)	PUNCT
m-530	312	9	,	,	PUNCT
m-530	312	10	400	400	NUM
m-530	312	11	-	-	SYM
m-530	312	12	403	403	NUM
m-530	312	13	.	.	PUNCT
m-530	313	1	[	[	X
m-530	313	2	5	5	NUM
m-530	313	3	]	]	SYM
m-530	313	4	calabria	calabria	PROPN
m-530	313	5	,	,	PUNCT
m-530	313	6	r.	r.	PROPN
m-530	313	7	,	,	PUNCT
m-530	313	8	and	and	CCONJ
m-530	313	9	pulcini	pulcini	PROPN
m-530	313	10	,	,	PUNCT
m-530	313	11	g.	g.	PROPN
m-530	313	12	(	(	PUNCT
m-530	313	13	1994	1994	NUM
m-530	313	14	):	):	PUNCT
m-530	313	15	“	"	PUNCT
m-530	313	16	point	point	NOUN
m-530	313	17	estimation	estimation	NOUN
m-530	313	18	under	under	ADP
m-530	313	19	asymmetric	asymmetric	ADJ
m-530	313	20	loss	loss	NOUN
m-530	313	21	functions	function	NOUN
m-530	313	22	for	for	ADP
m-530	313	23	left	left	ADJ
m-530	313	24	truncated	truncate	VERB
m-530	313	25	exponential	exponential	ADJ
m-530	313	26	samples	sample	NOUN
m-530	313	27	”	"	PUNCT
m-530	313	28	.	.	PUNCT
m-530	314	1	comm	comm	NOUN
m-530	314	2	.	.	PUNCT
m-530	314	3	statist	statist	PROPN
m-530	314	4	.	.	PUNCT
m-530	315	1	theory	theory	NOUN
m-530	315	2	&	&	CCONJ
m-530	315	3	methods	method	NOUN
m-530	315	4	,	,	PUNCT
m-530	315	5	25	25	NUM
m-530	315	6	(	(	PUNCT
m-530	315	7	3	3	NUM
m-530	315	8	)	)	PUNCT
m-530	315	9	,	,	PUNCT
m-530	315	10	585	585	NUM
m-530	315	11	-	-	SYM
m-530	315	12	600	600	NUM
m-530	315	13	.	.	PUNCT
m-530	316	1	[	[	X
m-530	316	2	6	6	NUM
m-530	316	3	]	]	X
m-530	316	4	d.k	d.k	PROPN
m-530	316	5	.	.	PROPN
m-530	316	6	dey	dey	PROPN
m-530	316	7	,	,	PUNCT
m-530	316	8	m.	m.	PROPN
m-530	316	9	ghosh	ghosh	PROPN
m-530	316	10	and	and	CCONJ
m-530	316	11	c.	c.	PROPN
m-530	316	12	srinivasan	srinivasan	PROPN
m-530	316	13	(	(	PUNCT
m-530	316	14	1987	1987	NUM
m-530	316	15	):	):	PUNCT
m-530	316	16	“	"	PUNCT
m-530	316	17	simultaneous	simultaneous	ADJ
m-530	316	18	estimation	estimation	NOUN
m-530	316	19	of	of	ADP
m-530	316	20	parameters	parameter	NOUN
m-530	316	21	under	under	ADP
m-530	316	22	entropy	entropy	NOUN
m-530	316	23	loss	loss	NOUN
m-530	316	24	”	"	PUNCT
m-530	316	25	.	.	PUNCT
m-530	316	26	jour	jour	X
m-530	316	27	.	.	PUNCT
m-530	316	28	statist	statist	PROPN
m-530	316	29	.	.	PUNCT
m-530	317	1	plan	plan	NOUN
m-530	317	2	.	.	PUNCT
m-530	318	1	and	and	CCONJ
m-530	318	2	infer	infer	VERB
m-530	318	3	.	.	PUNCT
m-530	319	1	,	,	PUNCT
m-530	319	2	347	347	NUM
m-530	319	3	-	-	SYM
m-530	319	4	363	363	NUM
m-530	319	5	.	.	PUNCT
m-530	320	1	[	[	X
m-530	320	2	7	7	X
m-530	320	3	]	]	X
m-530	320	4	d.k	d.k	PROPN
m-530	320	5	.	.	PROPN
m-530	320	6	dey	dey	PROPN
m-530	320	7	,	,	PUNCT
m-530	320	8	and	and	CCONJ
m-530	320	9	pei	pei	PROPN
m-530	320	10	-	-	PUNCT
m-530	320	11	san	san	PROPN
m-530	320	12	liao	liao	PROPN
m-530	320	13	liu	liu	PROPN
m-530	320	14	(	(	PUNCT
m-530	320	15	1992	1992	NUM
m-530	320	16	):	):	PUNCT
m-530	320	17	“	"	PUNCT
m-530	320	18	on	on	ADP
m-530	320	19	comparison	comparison	NOUN
m-530	320	20	of	of	ADP
m-530	320	21	estimators	estimator	NOUN
m-530	320	22	in	in	ADP
m-530	320	23	a	a	DET
m-530	320	24	generalized	generalized	ADJ
m-530	320	25	life	life	NOUN
m-530	320	26	model	model	NOUN
m-530	320	27	”	"	PUNCT
m-530	320	28	.	.	PUNCT
m-530	321	1	microelectron	microelectron	PROPN
m-530	321	2	.	.	PUNCT
m-530	322	1	reliab	reliab	PROPN
m-530	322	2	.	.	PUNCT
m-530	323	1	32	32	NUM
m-530	323	2	(	(	PUNCT
m-530	323	3	1/2	1/2	NUM
m-530	323	4	)	)	PUNCT
m-530	323	5	,	,	PUNCT
m-530	323	6	207	207	NUM
m-530	323	7	-	-	SYM
m-530	323	8	221	221	NUM
m-530	323	9	.	.	PUNCT
m-530	324	1	[	[	X
m-530	324	2	8	8	NUM
m-530	324	3	]	]	X
m-530	324	4	wasan	wasan	NOUN
m-530	324	5	,	,	PUNCT
m-530	324	6	m.t	m.t	PROPN
m-530	324	7	.	.	PROPN
m-530	324	8	,	,	PUNCT
m-530	324	9	(	(	PUNCT
m-530	324	10	1970	1970	NUM
m-530	324	11	):	):	PUNCT
m-530	324	12	“	"	PUNCT
m-530	324	13	parametric	parametric	ADJ
m-530	324	14	estimation	estimation	NOUN
m-530	324	15	”	"	PUNCT
m-530	324	16	.	.	PUNCT
m-530	325	1	new	new	PROPN
m-530	325	2	york	york	PROPN
m-530	325	3	:	:	PUNCT
m-530	325	4	mcgraw	mcgraw	PROPN
m-530	325	5	-	-	PUNCT
m-530	325	6	hill	hill	NOUN
m-530	325	7	.	.	PUNCT
m-530	326	1	[	[	X
m-530	326	2	9	9	NUM
m-530	326	3	]	]	X
m-530	326	4	al	al	PROPN
m-530	326	5	-	-	PUNCT
m-530	326	6	bayyati	bayyati	PROPN
m-530	326	7	,	,	PUNCT
m-530	326	8	h.n	h.n	PROPN
m-530	326	9	.	.	PROPN
m-530	326	10	,	,	PUNCT
m-530	326	11	(	(	PUNCT
m-530	326	12	2002	2002	NUM
m-530	326	13	):	):	PUNCT
m-530	326	14	“	"	PUNCT
m-530	326	15	comparing	compare	VERB
m-530	326	16	methods	method	NOUN
m-530	326	17	of	of	ADP
m-530	326	18	estimating	estimate	VERB
m-530	326	19	weibull	weibull	NOUN
m-530	326	20	failure	failure	NOUN
m-530	326	21	models	model	NOUN
m-530	326	22	using	use	VERB
m-530	326	23	simulation	simulation	NOUN
m-530	326	24	”	"	PUNCT
m-530	326	25	.	.	PUNCT
m-530	327	1	ph.d	ph.d	PROPN
m-530	327	2	.	.	PUNCT
m-530	328	1	thesis	thesis	NOUN
m-530	328	2	,	,	PUNCT
m-530	328	3	college	college	NOUN
m-530	328	4	of	of	ADP
m-530	328	5	administration	administration	NOUN
m-530	328	6	and	and	CCONJ
m-530	328	7	economics	economic	NOUN
m-530	328	8	,	,	PUNCT
m-530	328	9	baghdad	baghdad	PROPN
m-530	328	10	university	university	PROPN
m-530	328	11	,	,	PUNCT
m-530	328	12	iraq	iraq	PROPN
m-530	328	13	.	.	PUNCT
m-530	329	1	ijo	ijo	PROPN
m-530	329	2	international	international	PROPN
m-530	329	3	journal	journal	PROPN
m-530	329	4	of	of	ADP
m-530	329	5	mathematics	mathematics	PROPN
m-530	329	6	volume	volume	NOUN
m-530	329	7	4	4	NUM
m-530	329	8	|	|	NOUN
m-530	329	9	issue	issue	VERB
m-530	329	10	12	12	NUM
m-530	330	1	|	|	CCONJ
m-530	330	2	december	december	PROPN
m-530	330	3	2021	2021	NUM
m-530	330	4	|	|	ADV
m-530	330	5	http://www.ijojournals.com/index.php/m/index	http://www.ijojournals.com/index.php/m/index	NOUN
m-530	330	6	8	8	NUM