id	sid	tid	token	lemma	pos
iajs-3099	1	1	ihjpas	ihjpas	PROPN
iajs-3099	1	2	.	.	PUNCT
iajs-3099	2	1	36	36	NUM
iajs-3099	2	2	(	(	PUNCT
iajs-3099	2	3	3	3	NUM
iajs-3099	2	4	)	)	PUNCT
iajs-3099	2	5	2023	2023	NUM
iajs-3099	2	6	331	331	NUM
iajs-3099	2	7	this	this	DET
iajs-3099	2	8	work	work	NOUN
iajs-3099	2	9	is	be	AUX
iajs-3099	2	10	licensed	license	VERB
iajs-3099	2	11	under	under	ADP
iajs-3099	2	12	a	a	DET
iajs-3099	2	13	creative	creative	ADJ
iajs-3099	2	14	commons	common	NOUN
iajs-3099	2	15	attribution	attribution	NOUN
iajs-3099	2	16	4.0	4.0	NUM
iajs-3099	2	17	international	international	ADJ
iajs-3099	2	18	license	license	NOUN
iajs-3099	2	19	abstract	abstract	NOUN
iajs-3099	2	20	we	we	PRON
iajs-3099	2	21	discussed	discuss	VERB
iajs-3099	2	22	bayes	bayes	NOUN
iajs-3099	2	23	estimators	estimator	NOUN
iajs-3099	2	24	for	for	ADP
iajs-3099	2	25	unknown	unknown	ADJ
iajs-3099	2	26	scale	scale	NOUN
iajs-3099	2	27	parameter	parameter	NOUN
iajs-3099	2	28			PROPN
iajs-3099	2	29	when	when	SCONJ
iajs-3099	2	30	shape	shape	NOUN
iajs-3099	2	31	parameter	parameter	PROPN
iajs-3099	2	32	η	η	PROPN
iajs-3099	2	33	is	be	AUX
iajs-3099	2	34	known	know	VERB
iajs-3099	2	35	of	of	ADP
iajs-3099	2	36	erlang	erlang	NOUN
iajs-3099	2	37	distribution	distribution	NOUN
iajs-3099	2	38	.	.	PUNCT
iajs-3099	3	1	assuming	assume	VERB
iajs-3099	3	2	different	different	ADJ
iajs-3099	3	3	informative	informative	ADJ
iajs-3099	3	4	priors	prior	NOUN
iajs-3099	3	5	for	for	ADP
iajs-3099	3	6	unknown	unknown	ADJ
iajs-3099	3	7	scale	scale	NOUN
iajs-3099	3	8	parameter	parameter	NOUN
iajs-3099	3	9			PROPN
iajs-3099	3	10	.	.	PUNCT
iajs-3099	4	1	we	we	PRON
iajs-3099	4	2	derived	derive	VERB
iajs-3099	4	3	the	the	DET
iajs-3099	4	4	posterior	posterior	ADJ
iajs-3099	4	5	density	density	NOUN
iajs-3099	4	6	with	with	ADP
iajs-3099	4	7	posterior	posterior	ADJ
iajs-3099	4	8	mean	mean	NOUN
iajs-3099	4	9	and	and	CCONJ
iajs-3099	4	10	posterior	posterior	ADJ
iajs-3099	4	11	variance	variance	NOUN
iajs-3099	4	12	using	use	VERB
iajs-3099	4	13	different	different	ADJ
iajs-3099	4	14	informative	informative	ADJ
iajs-3099	4	15	priors	prior	NOUN
iajs-3099	4	16	for	for	ADP
iajs-3099	4	17	unknown	unknown	ADJ
iajs-3099	4	18	scale	scale	NOUN
iajs-3099	4	19	parameter	parameter	NOUN
iajs-3099	4	20			PROPN
iajs-3099	4	21	which	which	PRON
iajs-3099	4	22	are	be	AUX
iajs-3099	4	23	the	the	DET
iajs-3099	4	24	inverse	inverse	ADJ
iajs-3099	4	25	exponential	exponential	ADJ
iajs-3099	4	26	distribution	distribution	NOUN
iajs-3099	4	27	,	,	PUNCT
iajs-3099	4	28	the	the	DET
iajs-3099	4	29	inverse	inverse	ADJ
iajs-3099	4	30	chi	chi	ADJ
iajs-3099	4	31	-	-	PUNCT
iajs-3099	4	32	square	square	ADJ
iajs-3099	4	33	distribution	distribution	NOUN
iajs-3099	4	34	,	,	PUNCT
iajs-3099	4	35	the	the	DET
iajs-3099	4	36	inverse	inverse	NOUN
iajs-3099	4	37	gamma	gamma	NOUN
iajs-3099	4	38	distribution	distribution	NOUN
iajs-3099	4	39	and	and	CCONJ
iajs-3099	4	40	the	the	DET
iajs-3099	4	41	standard	standard	ADJ
iajs-3099	4	42	levy	levy	NOUN
iajs-3099	4	43	distribution	distribution	NOUN
iajs-3099	4	44	as	as	ADP
iajs-3099	4	45	prior	prior	ADV
iajs-3099	4	46	.	.	PUNCT
iajs-3099	5	1	and	and	CCONJ
iajs-3099	5	2	we	we	PRON
iajs-3099	5	3	derived	derive	VERB
iajs-3099	5	4	bayes	bayes	NOUN
iajs-3099	5	5	estimators	estimator	NOUN
iajs-3099	5	6			ADJ
iajs-3099	5	7	based	base	VERB
iajs-3099	5	8	on	on	ADP
iajs-3099	5	9	general	general	ADJ
iajs-3099	5	10	entropy	entropy	NOUN
iajs-3099	5	11	loss	loss	NOUN
iajs-3099	5	12	function	function	NOUN
iajs-3099	5	13	(	(	PUNCT
iajs-3099	5	14	gelf	gelf	NOUN
iajs-3099	5	15	)	)	PUNCT
iajs-3099	5	16	.	.	PUNCT
iajs-3099	6	1	we	we	PRON
iajs-3099	6	2	used	use	VERB
iajs-3099	6	3	simulation	simulation	NOUN
iajs-3099	6	4	method	method	NOUN
iajs-3099	6	5	to	to	PART
iajs-3099	6	6	obtain	obtain	VERB
iajs-3099	6	7	the	the	DET
iajs-3099	6	8	results	result	NOUN
iajs-3099	6	9	.	.	PUNCT
iajs-3099	7	1	we	we	PRON
iajs-3099	7	2	generated	generate	VERB
iajs-3099	7	3	different	different	ADJ
iajs-3099	7	4	cases	case	NOUN
iajs-3099	7	5	for	for	ADP
iajs-3099	7	6	the	the	DET
iajs-3099	7	7	parameters	parameter	NOUN
iajs-3099	7	8	)	)	PUNCT
iajs-3099	7	9	,	,	PUNCT
iajs-3099	7	10	η	η	PROPN
iajs-3099	7	11	(	(	PUNCT
iajs-3099	7	12			PROPN
iajs-3099	7	13	of	of	ADP
iajs-3099	7	14	the	the	DET
iajs-3099	7	15	erlang	erlang	PROPN
iajs-3099	7	16	model	model	NOUN
iajs-3099	7	17	,	,	PUNCT
iajs-3099	7	18	for	for	ADP
iajs-3099	7	19	different	different	ADJ
iajs-3099	7	20	sample	sample	NOUN
iajs-3099	7	21	sizes	size	NOUN
iajs-3099	7	22	.	.	PUNCT
iajs-3099	8	1	the	the	DET
iajs-3099	8	2	estimates	estimate	NOUN
iajs-3099	8	3	have	have	AUX
iajs-3099	8	4	been	be	AUX
iajs-3099	8	5	compared	compare	VERB
iajs-3099	8	6	in	in	ADP
iajs-3099	8	7	terms	term	NOUN
iajs-3099	8	8	of	of	ADP
iajs-3099	8	9	their	their	PRON
iajs-3099	8	10	mean	mean	ADJ
iajs-3099	8	11	-	-	PUNCT
iajs-3099	8	12	squared	square	VERB
iajs-3099	8	13	error	error	NOUN
iajs-3099	8	14	(	(	PUNCT
iajs-3099	8	15	mse	mse	NOUN
iajs-3099	8	16	)	)	PUNCT
iajs-3099	8	17	.	.	PUNCT
iajs-3099	9	1	we	we	PRON
iajs-3099	9	2	concluded	conclude	VERB
iajs-3099	9	3	that	that	SCONJ
iajs-3099	9	4	the	the	DET
iajs-3099	9	5	best	good	ADJ
iajs-3099	9	6	estimators	estimator	NOUN
iajs-3099	9	7	of	of	ADP
iajs-3099	9	8	the	the	DET
iajs-3099	9	9	scale	scale	NOUN
iajs-3099	9	10	parameter	parameter	NOUN
iajs-3099	9	11	)	)	PUNCT
iajs-3099	9	12	(	(	PUNCT
iajs-3099	9	13			PROPN
iajs-3099	9	14	of	of	ADP
iajs-3099	9	15	the	the	DET
iajs-3099	9	16	erlang	erlang	PROPN
iajs-3099	9	17	distribution	distribution	NOUN
iajs-3099	9	18	,	,	PUNCT
iajs-3099	9	19	based	base	VERB
iajs-3099	9	20	on	on	ADP
iajs-3099	9	21	gelf	gelf	NOUN
iajs-3099	9	22	for	for	ADP
iajs-3099	9	23	the	the	DET
iajs-3099	9	24	shape	shape	NOUN
iajs-3099	9	25	parameter	parameter	NOUN
iajs-3099	9	26	(	(	PUNCT
iajs-3099	9	27	c=1,2,3	c=1,2,3	NUM
iajs-3099	9	28	)	)	PUNCT
iajs-3099	9	29	under	under	ADP
iajs-3099	9	30	inverse	inverse	NOUN
iajs-3099	9	31	gamma	gamma	NOUN
iajs-3099	9	32	prior	prior	ADV
iajs-3099	9	33	with	with	ADP
iajs-3099	9	34	2)b3,(a	2)b3,(a	NUM
iajs-3099	9	35			NUM
iajs-3099	9	36	for	for	ADP
iajs-3099	9	37	all	all	DET
iajs-3099	9	38	samples	sample	NOUN
iajs-3099	9	39	sizes(n	sizes(n	NOUN
iajs-3099	9	40	)	)	PUNCT
iajs-3099	9	41	where	where	SCONJ
iajs-3099	9	42	the	the	DET
iajs-3099	9	43	true	true	ADJ
iajs-3099	9	44	cases	case	NOUN
iajs-3099	9	45	of	of	ADP
iajs-3099	9	46	the	the	DET
iajs-3099	9	47	erlang	erlang	PROPN
iajs-3099	9	48	model	model	NOUN
iajs-3099	9	49	are	be	AUX
iajs-3099	9	50	)	)	PUNCT
iajs-3099	9	51	3	3	NUM
iajs-3099	9	52	2	2	NUM
iajs-3099	9	53	,	,	PUNCT
iajs-3099	9	54	η	η	X
iajs-3099	9	55	(	(	PUNCT
iajs-3099	9	56			NUM
iajs-3099	9	57			ADJ
iajs-3099	9	58	and	and	CCONJ
iajs-3099	9	59	)	)	PUNCT
iajs-3099	9	60	3	3	NUM
iajs-3099	9	61	3	3	NUM
iajs-3099	9	62	,	,	PUNCT
iajs-3099	9	63	η	η	X
iajs-3099	9	64	(	(	PUNCT
iajs-3099	9	65			NUM
iajs-3099	9	66			ADJ
iajs-3099	9	67	according	accord	VERB
iajs-3099	9	68	to	to	ADP
iajs-3099	9	69	the	the	DET
iajs-3099	9	70	smallest	small	ADJ
iajs-3099	9	71	values	value	NOUN
iajs-3099	9	72	of	of	ADP
iajs-3099	9	73	mse	mse	NOUN
iajs-3099	9	74	.	.	PUNCT
iajs-3099	10	1	keywords	keyword	NOUN
iajs-3099	10	2	:	:	PUNCT
iajs-3099	10	3	the	the	DET
iajs-3099	10	4	erlang	erlang	PROPN
iajs-3099	10	5	distribution	distribution	NOUN
iajs-3099	10	6	,	,	PUNCT
iajs-3099	10	7	bayes	bayes	PROPN
iajs-3099	10	8	estimation	estimation	NOUN
iajs-3099	10	9	,	,	PUNCT
iajs-3099	10	10	the	the	DET
iajs-3099	10	11	posterior	posterior	ADJ
iajs-3099	10	12	density	density	NOUN
iajs-3099	10	13	,	,	PUNCT
iajs-3099	10	14	posterior	posterior	ADJ
iajs-3099	10	15	mean	mean	ADJ
iajs-3099	10	16	,	,	PUNCT
iajs-3099	10	17	posterior	posterior	ADJ
iajs-3099	10	18	variance	variance	NOUN
iajs-3099	10	19	,	,	PUNCT
iajs-3099	10	20	gelf	gelf	NOUN
iajs-3099	10	21	,	,	PUNCT
iajs-3099	10	22	mse	mse	PROPN
iajs-3099	10	23	.	.	PUNCT
iajs-3099	11	1	1	1	X
iajs-3099	11	2	.	.	X
iajs-3099	12	1	introduction	introduction	NOUN
iajs-3099	12	2	erlang	erlang	NOUN
iajs-3099	12	3	distribution	distribution	NOUN
iajs-3099	12	4	is	be	AUX
iajs-3099	12	5	one	one	NUM
iajs-3099	12	6	of	of	ADP
iajs-3099	12	7	the	the	DET
iajs-3099	12	8	continuous	continuous	ADJ
iajs-3099	12	9	probability	probability	NOUN
iajs-3099	12	10	distributions	distribution	NOUN
iajs-3099	12	11	primarily	primarily	ADV
iajs-3099	12	12	proposed	propose	VERB
iajs-3099	12	13	by	by	ADP
iajs-3099	12	14	erlang(1909),to	erlang(1909),to	NOUN
iajs-3099	12	15	establish	establish	VERB
iajs-3099	12	16	the	the	DET
iajs-3099	12	17	origin	origin	NOUN
iajs-3099	12	18	of	of	ADP
iajs-3099	12	19	queuing	queue	VERB
iajs-3099	12	20	theory	theory	NOUN
iajs-3099	12	21	.	.	PUNCT
iajs-3099	13	1	erlang	erlang	PROPN
iajs-3099	13	2	distribution	distribution	NOUN
iajs-3099	13	3	is	be	AUX
iajs-3099	13	4	used	use	VERB
iajs-3099	13	5	in	in	ADP
iajs-3099	13	6	several	several	ADJ
iajs-3099	13	7	field	field	NOUN
iajs-3099	13	8	such	such	ADJ
iajs-3099	13	9	as	as	ADP
iajs-3099	13	10	stochastic	stochastic	ADJ
iajs-3099	13	11	processes	process	NOUN
iajs-3099	13	12	and	and	CCONJ
iajs-3099	13	13	mathematical	mathematical	ADJ
iajs-3099	13	14	biology	biology	NOUN
iajs-3099	13	15	.	.	PUNCT
iajs-3099	14	1	also	also	ADV
iajs-3099	14	2	,	,	PUNCT
iajs-3099	14	3	erlang	erlang	NOUN
iajs-3099	14	4	distribution	distribution	NOUN
iajs-3099	14	5	can	can	AUX
iajs-3099	14	6	be	be	AUX
iajs-3099	14	7	represented	represent	VERB
iajs-3099	14	8	as	as	ADP
iajs-3099	14	9	waiting	wait	VERB
iajs-3099	14	10	time	time	NOUN
iajs-3099	14	11	and	and	CCONJ
iajs-3099	14	12	message	message	NOUN
iajs-3099	14	13	length	length	NOUN
iajs-3099	14	14	in	in	ADP
iajs-3099	14	15	telephone	telephone	NOUN
iajs-3099	14	16	traffic	traffic	NOUN
iajs-3099	14	17	.	.	PUNCT
iajs-3099	15	1	when	when	SCONJ
iajs-3099	15	2	the	the	DET
iajs-3099	15	3	duration	duration	NOUN
iajs-3099	15	4	of	of	ADP
iajs-3099	15	5	individual	individual	ADJ
iajs-3099	15	6	calls	call	NOUN
iajs-3099	15	7	are	be	AUX
iajs-3099	15	8	exponentially	exponentially	ADV
iajs-3099	15	9	distributed	distribute	VERB
iajs-3099	15	10	then	then	ADV
iajs-3099	15	11	the	the	DET
iajs-3099	15	12	duration	duration	NOUN
iajs-3099	15	13	of	of	ADP
iajs-3099	15	14	the	the	DET
iajs-3099	15	15	succession	succession	NOUN
iajs-3099	15	16	of	of	ADP
iajs-3099	15	17	calls	call	NOUN
iajs-3099	15	18	is	be	AUX
iajs-3099	15	19	the	the	DET
iajs-3099	15	20	erlang	erlang	PROPN
iajs-3099	15	21	distribution	distribution	NOUN
iajs-3099	15	22	.	.	PUNCT
iajs-3099	16	1	the	the	DET
iajs-3099	16	2	erlang	erlang	PROPN
iajs-3099	16	3	variate	variate	NOUN
iajs-3099	16	4	becomes	become	VERB
iajs-3099	16	5	gamma	gamma	NOUN
iajs-3099	16	6	variate	variate	NOUN
iajs-3099	16	7	when	when	SCONJ
iajs-3099	16	8	its	its	PRON
iajs-3099	16	9	shape	shape	NOUN
iajs-3099	16	10	parameter	parameter	NOUN
iajs-3099	16	11	is	be	AUX
iajs-3099	16	12	an	an	DET
iajs-3099	16	13	doi.org/10.30526/36.3.3099	doi.org/10.30526/36.3.3099	ADJ
iajs-3099	16	14	article	article	NOUN
iajs-3099	16	15	history	history	NOUN
iajs-3099	16	16	:	:	PUNCT
iajs-3099	16	17	received	receive	VERB
iajs-3099	16	18	6	6	NUM
iajs-3099	16	19	november	november	PROPN
iajs-3099	16	20	2022	2022	NUM
iajs-3099	16	21	,	,	PUNCT
iajs-3099	16	22	accepted	accept	VERB
iajs-3099	16	23	26	26	NUM
iajs-3099	16	24	december	december	PROPN
iajs-3099	16	25	2022	2022	NUM
iajs-3099	16	26	,	,	PUNCT
iajs-3099	16	27	published	publish	VERB
iajs-3099	16	28	in	in	ADP
iajs-3099	16	29	july	july	PROPN
iajs-3099	16	30	2023	2023	NUM
iajs-3099	16	31	.	.	PUNCT
iajs-3099	17	1	ibn	ibn	PROPN
iajs-3099	17	2	al	al	PROPN
iajs-3099	17	3	-	-	PUNCT
iajs-3099	17	4	haitham	haitham	PROPN
iajs-3099	17	5	journal	journal	PROPN
iajs-3099	17	6	for	for	ADP
iajs-3099	17	7	pure	pure	ADJ
iajs-3099	17	8	and	and	CCONJ
iajs-3099	17	9	applied	applied	ADJ
iajs-3099	17	10	sciences	sciences	PROPN
iajs-3099	17	11	journal	journal	PROPN
iajs-3099	17	12	homepage	homepage	NOUN
iajs-3099	17	13	:	:	PUNCT
iajs-3099	17	14	jih.uobaghdad.edu.iq	jih.uobaghdad.edu.iq	NOUN
iajs-3099	17	15	bayesian	bayesian	NOUN
iajs-3099	17	16	approach	approach	NOUN
iajs-3099	17	17	for	for	ADP
iajs-3099	17	18	estimating	estimate	VERB
iajs-3099	17	19	the	the	DET
iajs-3099	17	20	unknown	unknown	ADJ
iajs-3099	17	21	scale	scale	NOUN
iajs-3099	17	22	parameter	parameter	NOUN
iajs-3099	17	23	of	of	ADP
iajs-3099	17	24	erlang	erlang	PROPN
iajs-3099	17	25	distribution	distribution	NOUN
iajs-3099	17	26	based	base	VERB
iajs-3099	17	27	on	on	ADP
iajs-3099	17	28	general	general	ADJ
iajs-3099	17	29	entropy	entropy	NOUN
iajs-3099	17	30	loss	loss	PROPN
iajs-3099	17	31	function	function	NOUN
iajs-3099	17	32	jinan	jinan	PROPN
iajs-3099	17	33	a.	a.	PROPN
iajs-3099	17	34	naser	naser	PROPN
iajs-3099	17	35	al	al	PROPN
iajs-3099	17	36	-	-	PUNCT
iajs-3099	17	37	obedy	obedy	PROPN
iajs-3099	17	38	technical	technical	PROPN
iajs-3099	17	39	college	college	PROPN
iajs-3099	17	40	of	of	ADP
iajs-3099	17	41	management	management	NOUN
iajs-3099	17	42	-	-	PUNCT
iajs-3099	17	43	baghdad	baghdad	PROPN
iajs-3099	17	44	,	,	PUNCT
iajs-3099	17	45	middle	middle	PROPN
iajs-3099	17	46	technical	technical	PROPN
iajs-3099	17	47	university	university	PROPN
iajs-3099	17	48	,	,	PUNCT
iajs-3099	17	49	baghdad	baghdad	PROPN
iajs-3099	17	50	,	,	PUNCT
iajs-3099	17	51	iraq	iraq	PROPN
iajs-3099	17	52	.	.	PUNCT
iajs-3099	18	1	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
iajs-3099	18	2	mailto:jinan.abbas@mtu.edu.iq	mailto:jinan.abbas@mtu.edu.iq	NOUN
iajs-3099	18	3	ihjpas	ihjpas	PROPN
iajs-3099	18	4	.	.	PUNCT
iajs-3099	19	1	36	36	NUM
iajs-3099	19	2	(	(	PUNCT
iajs-3099	19	3	3	3	NUM
iajs-3099	19	4	)	)	PUNCT
iajs-3099	19	5	2023	2023	NUM
iajs-3099	19	6	332	332	NUM
iajs-3099	19	7	integer	integer	NOUN
iajs-3099	19	8	.	.	PUNCT
iajs-3099	20	1	many	many	ADJ
iajs-3099	20	2	authors	author	NOUN
iajs-3099	20	3	study	study	VERB
iajs-3099	20	4	the	the	DET
iajs-3099	20	5	effects	effect	NOUN
iajs-3099	20	6	on	on	ADP
iajs-3099	20	7	bayes	baye	NOUN
iajs-3099	20	8	’	'	PUNCT
iajs-3099	20	9	estimators	estimator	NOUN
iajs-3099	20	10	of	of	ADP
iajs-3099	20	11	shape	shape	NOUN
iajs-3099	20	12	and	and	CCONJ
iajs-3099	20	13	scale	scale	NOUN
iajs-3099	20	14	parameters	parameter	NOUN
iajs-3099	20	15	of	of	ADP
iajs-3099	20	16	the	the	DET
iajs-3099	20	17	erlang	erlang	PROPN
iajs-3099	20	18	distribution	distribution	NOUN
iajs-3099	20	19	based	base	VERB
iajs-3099	20	20	on	on	ADP
iajs-3099	20	21	different	different	ADJ
iajs-3099	20	22	loss	loss	NOUN
iajs-3099	20	23	functions	function	NOUN
iajs-3099	20	24	,	,	PUNCT
iajs-3099	20	25	and	and	CCONJ
iajs-3099	20	26	the	the	DET
iajs-3099	20	27	prior	prior	ADJ
iajs-3099	20	28	distributions	distribution	NOUN
iajs-3099	20	29	.	.	PUNCT
iajs-3099	21	1	we	we	PRON
iajs-3099	21	2	review	review	VERB
iajs-3099	21	3	some	some	PRON
iajs-3099	21	4	of	of	ADP
iajs-3099	21	5	them	they	PRON
iajs-3099	21	6	as	as	ADP
iajs-3099	21	7	follows:[1	follows:[1	PROPN
iajs-3099	21	8	]	]	PUNCT
iajs-3099	21	9	discussed	discuss	VERB
iajs-3099	21	10	bayesian	bayesian	NOUN
iajs-3099	21	11	estimators	estimator	NOUN
iajs-3099	21	12	of	of	ADP
iajs-3099	21	13	shape	shape	NOUN
iajs-3099	21	14	and	and	CCONJ
iajs-3099	21	15	scale	scale	NOUN
iajs-3099	21	16	parameters	parameter	NOUN
iajs-3099	21	17	of	of	ADP
iajs-3099	21	18	erlang	erlang	PROPN
iajs-3099	21	19	distribution	distribution	NOUN
iajs-3099	21	20	,	,	PUNCT
iajs-3099	21	21	using	use	VERB
iajs-3099	21	22	different	different	ADJ
iajs-3099	21	23	informative	informative	ADJ
iajs-3099	21	24	prior	prior	ADJ
iajs-3099	21	25	distributions	distribution	NOUN
iajs-3099	21	26	under	under	ADP
iajs-3099	21	27	squared	square	VERB
iajs-3099	21	28	error	error	NOUN
iajs-3099	21	29	loss	loss	NOUN
iajs-3099	21	30	function	function	NOUN
iajs-3099	21	31	(	(	PUNCT
iajs-3099	21	32	self	self	NOUN
iajs-3099	21	33	)	)	PUNCT
iajs-3099	21	34	.	.	PUNCT
iajs-3099	22	1	they	they	PRON
iajs-3099	22	2	assumed	assume	VERB
iajs-3099	22	3	two	two	NUM
iajs-3099	22	4	different	different	ADJ
iajs-3099	22	5	informative	informative	ADJ
iajs-3099	22	6	priors	prior	NOUN
iajs-3099	22	7	which	which	PRON
iajs-3099	22	8	are	be	AUX
iajs-3099	22	9	represented	represent	VERB
iajs-3099	22	10	by	by	ADP
iajs-3099	22	11	truncated	truncated	ADJ
iajs-3099	22	12	poisson	poisson	NOUN
iajs-3099	22	13	and	and	CCONJ
iajs-3099	22	14	truncated	truncate	VERB
iajs-3099	22	15	geometric	geometric	ADJ
iajs-3099	22	16	distributions	distribution	NOUN
iajs-3099	22	17	for	for	ADP
iajs-3099	22	18	the	the	DET
iajs-3099	22	19	shape	shape	NOUN
iajs-3099	22	20	parameter	parameter	NOUN
iajs-3099	22	21	.	.	PUNCT
iajs-3099	23	1	and	and	CCONJ
iajs-3099	23	2	they	they	PRON
iajs-3099	23	3	assumed	assume	VERB
iajs-3099	23	4	two	two	NUM
iajs-3099	23	5	different	different	ADJ
iajs-3099	23	6	informative	informative	ADJ
iajs-3099	23	7	priors	prior	NOUN
iajs-3099	23	8	which	which	PRON
iajs-3099	23	9	are	be	AUX
iajs-3099	23	10	represented	represent	VERB
iajs-3099	23	11	by	by	ADP
iajs-3099	23	12	inverted	inverted	ADJ
iajs-3099	23	13	gamma	gamma	NOUN
iajs-3099	23	14	and	and	CCONJ
iajs-3099	23	15	gamma	gamma	NOUN
iajs-3099	23	16	distributions	distribution	NOUN
iajs-3099	23	17	for	for	ADP
iajs-3099	23	18	the	the	DET
iajs-3099	23	19	shape	shape	NOUN
iajs-3099	23	20	parameter	parameter	NOUN
iajs-3099	23	21	.	.	PUNCT
iajs-3099	24	1	they	they	PRON
iajs-3099	24	2	also	also	ADV
iajs-3099	24	3	assumed	assume	VERB
iajs-3099	24	4	two	two	NUM
iajs-3099	24	5	different	different	ADJ
iajs-3099	24	6	informative	informative	ADJ
iajs-3099	24	7	priors	prior	NOUN
iajs-3099	24	8	for	for	ADP
iajs-3099	24	9	both	both	CCONJ
iajs-3099	24	10	shape	shape	NOUN
iajs-3099	24	11	and	and	CCONJ
iajs-3099	24	12	scale	scale	NOUN
iajs-3099	24	13	parameters	parameter	NOUN
iajs-3099	24	14	using	use	VERB
iajs-3099	24	15	(	(	PUNCT
iajs-3099	24	16	truncated	truncated	ADJ
iajs-3099	24	17	poisson	poisson	NOUN
iajs-3099	24	18	inverted	invert	VERB
iajs-3099	24	19	gamma	gamma	NOUN
iajs-3099	24	20	)	)	PUNCT
iajs-3099	24	21	and	and	CCONJ
iajs-3099	24	22	(	(	PUNCT
iajs-3099	24	23	truncated	truncated	ADJ
iajs-3099	24	24	poisson	poisson	NOUN
iajs-3099	24	25	–	–	PUNCT
iajs-3099	24	26	gamma	gamma	NOUN
iajs-3099	24	27	)	)	PUNCT
iajs-3099	24	28	and	and	CCONJ
iajs-3099	24	29	(	(	PUNCT
iajs-3099	24	30	truncated	truncate	VERB
iajs-3099	24	31	geometric	geometric	ADJ
iajs-3099	24	32	inverted	inverted	ADJ
iajs-3099	24	33	gamma	gamma	NOUN
iajs-3099	24	34	)	)	PUNCT
iajs-3099	24	35	and	and	CCONJ
iajs-3099	24	36	(	(	PUNCT
iajs-3099	24	37	truncated	truncated	ADJ
iajs-3099	24	38	geometric	geometric	ADJ
iajs-3099	24	39	–	–	PUNCT
iajs-3099	24	40	gamma	gamma	NOUN
iajs-3099	24	41	)	)	PUNCT
iajs-3099	24	42	.	.	PUNCT
iajs-3099	25	1	they	they	PRON
iajs-3099	25	2	derived	derive	VERB
iajs-3099	25	3	the	the	DET
iajs-3099	25	4	bayes	bayes	NOUN
iajs-3099	25	5	estimators	estimator	NOUN
iajs-3099	25	6	and	and	CCONJ
iajs-3099	25	7	posterior	posterior	ADJ
iajs-3099	25	8	variances	variance	NOUN
iajs-3099	25	9	.	.	PUNCT
iajs-3099	26	1	they	they	PRON
iajs-3099	26	2	obtained	obtain	VERB
iajs-3099	26	3	their	their	PRON
iajs-3099	26	4	results	result	NOUN
iajs-3099	26	5	using	use	VERB
iajs-3099	26	6	the	the	DET
iajs-3099	26	7	simulation	simulation	NOUN
iajs-3099	26	8	to	to	PART
iajs-3099	26	9	compare	compare	VERB
iajs-3099	26	10	the	the	DET
iajs-3099	26	11	behavior	behavior	NOUN
iajs-3099	26	12	of	of	ADP
iajs-3099	26	13	the	the	DET
iajs-3099	26	14	proposed	propose	VERB
iajs-3099	26	15	estimators	estimator	NOUN
iajs-3099	26	16	.	.	PUNCT
iajs-3099	27	1	and	and	CCONJ
iajs-3099	27	2	they	they	PRON
iajs-3099	27	3	applied	apply	VERB
iajs-3099	27	4	bayes	bayes	NOUN
iajs-3099	27	5	estimators	estimator	NOUN
iajs-3099	27	6	for	for	ADP
iajs-3099	27	7	real	real	ADJ
iajs-3099	27	8	data	datum	NOUN
iajs-3099	27	9	sets	set	NOUN
iajs-3099	27	10	.	.	PUNCT
iajs-3099	28	1	[	[	X
iajs-3099	28	2	2	2	NUM
iajs-3099	28	3	]	]	PUNCT
iajs-3099	28	4	obtained	obtain	VERB
iajs-3099	28	5	the	the	DET
iajs-3099	28	6	bayesian	bayesian	NOUN
iajs-3099	28	7	estimators	estimator	NOUN
iajs-3099	28	8	and	and	CCONJ
iajs-3099	28	9	the	the	DET
iajs-3099	28	10	posterior	posterior	ADJ
iajs-3099	28	11	variance	variance	NOUN
iajs-3099	28	12	of	of	ADP
iajs-3099	28	13	shape	shape	NOUN
iajs-3099	28	14	and	and	CCONJ
iajs-3099	28	15	scale	scale	NOUN
iajs-3099	28	16	parameters	parameter	NOUN
iajs-3099	28	17	of	of	ADP
iajs-3099	28	18	erlang	erlang	PROPN
iajs-3099	28	19	distribution	distribution	NOUN
iajs-3099	28	20	,	,	PUNCT
iajs-3099	28	21	using	use	VERB
iajs-3099	28	22	different	different	ADJ
iajs-3099	28	23	informative	informative	ADJ
iajs-3099	28	24	generalized	generalized	ADJ
iajs-3099	28	25	truncated	truncated	ADJ
iajs-3099	28	26	distributions	distribution	NOUN
iajs-3099	28	27	,	,	PUNCT
iajs-3099	28	28	based	base	VERB
iajs-3099	28	29	on	on	ADP
iajs-3099	28	30	the	the	DET
iajs-3099	28	31	squared	square	VERB
iajs-3099	28	32	error	error	NOUN
iajs-3099	28	33	loss	loss	NOUN
iajs-3099	28	34	function	function	NOUN
iajs-3099	28	35	.	.	PUNCT
iajs-3099	29	1	they	they	PRON
iajs-3099	29	2	considered	consider	VERB
iajs-3099	29	3	generalized	generalized	ADJ
iajs-3099	29	4	truncated	truncated	ADJ
iajs-3099	29	5	poisson	poisson	NOUN
iajs-3099	29	6	and	and	CCONJ
iajs-3099	29	7	truncated	truncate	VERB
iajs-3099	29	8	geometric	geometric	ADJ
iajs-3099	29	9	distributions	distribution	NOUN
iajs-3099	29	10	as	as	ADP
iajs-3099	29	11	priors	prior	NOUN
iajs-3099	29	12	for	for	ADP
iajs-3099	29	13	shape	shape	NOUN
iajs-3099	29	14	parameter	parameter	NOUN
iajs-3099	29	15	they	they	PRON
iajs-3099	29	16	also	also	ADV
iajs-3099	29	17	the	the	DET
iajs-3099	29	18	inverted	inverted	ADJ
iajs-3099	29	19	gamma	gamma	NOUN
iajs-3099	29	20	distribution	distribution	NOUN
iajs-3099	29	21	as	as	ADP
iajs-3099	29	22	prior	prior	ADV
iajs-3099	29	23	for	for	ADP
iajs-3099	29	24	the	the	DET
iajs-3099	29	25	scale	scale	NOUN
iajs-3099	29	26	parameter	parameter	NOUN
iajs-3099	29	27	.	.	PUNCT
iajs-3099	30	1	[	[	X
iajs-3099	30	2	3	3	X
iajs-3099	30	3	]	]	PUNCT
iajs-3099	30	4	have	have	AUX
iajs-3099	30	5	introduced	introduce	VERB
iajs-3099	30	6	the	the	DET
iajs-3099	30	7	bayesian	bayesian	NOUN
iajs-3099	30	8	procedure	procedure	NOUN
iajs-3099	30	9	of	of	ADP
iajs-3099	30	10	a	a	DET
iajs-3099	30	11	new	new	ADJ
iajs-3099	30	12	generalization	generalization	NOUN
iajs-3099	30	13	of	of	ADP
iajs-3099	30	14	erlang	erlang	PROPN
iajs-3099	30	15	distribution	distribution	NOUN
iajs-3099	30	16	under	under	ADP
iajs-3099	30	17	the	the	DET
iajs-3099	30	18	squared	square	VERB
iajs-3099	30	19	error	error	NOUN
iajs-3099	30	20	loss	loss	NOUN
iajs-3099	30	21	function	function	NOUN
iajs-3099	30	22	.	.	PUNCT
iajs-3099	31	1	they	they	PRON
iajs-3099	31	2	assumed	assume	VERB
iajs-3099	31	3	the	the	DET
iajs-3099	31	4	truncated	truncated	ADJ
iajs-3099	31	5	poisson	poisson	NOUN
iajs-3099	31	6	distribution	distribution	NOUN
iajs-3099	31	7	as	as	ADP
iajs-3099	31	8	prior	prior	ADV
iajs-3099	31	9	for	for	ADP
iajs-3099	31	10	shape	shape	NOUN
iajs-3099	31	11	parameter	parameter	NOUN
iajs-3099	31	12	,	,	PUNCT
iajs-3099	31	13	and	and	CCONJ
iajs-3099	31	14	it	it	PRON
iajs-3099	31	15	assumed	assume	VERB
iajs-3099	31	16	inverted	inverted	ADJ
iajs-3099	31	17	gamma	gamma	NOUN
iajs-3099	31	18	distribution	distribution	NOUN
iajs-3099	31	19	as	as	ADP
iajs-3099	31	20	prior	prior	ADV
iajs-3099	31	21	for	for	ADP
iajs-3099	31	22	scale	scale	NOUN
iajs-3099	31	23	parameter	parameter	NOUN
iajs-3099	31	24	of	of	ADP
iajs-3099	31	25	erlang	erlang	PROPN
iajs-3099	31	26	distribution	distribution	NOUN
iajs-3099	31	27	.	.	PUNCT
iajs-3099	32	1	they	they	PRON
iajs-3099	32	2	derived	derive	VERB
iajs-3099	32	3	bayes	bayes	PROPN
iajs-3099	32	4	estimator	estimator	NOUN
iajs-3099	32	5	and	and	CCONJ
iajs-3099	32	6	their	their	PRON
iajs-3099	32	7	posterior	posterior	ADJ
iajs-3099	32	8	variance	variance	NOUN
iajs-3099	32	9	.	.	PUNCT
iajs-3099	33	1	they	they	PRON
iajs-3099	33	2	used	use	VERB
iajs-3099	33	3	simulation	simulation	NOUN
iajs-3099	33	4	to	to	PART
iajs-3099	33	5	compare	compare	VERB
iajs-3099	33	6	the	the	DET
iajs-3099	33	7	behavior	behavior	NOUN
iajs-3099	33	8	of	of	ADP
iajs-3099	33	9	the	the	DET
iajs-3099	33	10	proposed	propose	VERB
iajs-3099	33	11	estimators	estimator	NOUN
iajs-3099	33	12	.	.	PUNCT
iajs-3099	34	1	and	and	CCONJ
iajs-3099	34	2	they	they	PRON
iajs-3099	34	3	applied	apply	VERB
iajs-3099	34	4	numerical	numerical	ADJ
iajs-3099	34	5	bayes	bayes	PROPN
iajs-3099	34	6	estimators	estimator	NOUN
iajs-3099	34	7	for	for	ADP
iajs-3099	34	8	real	real	ADJ
iajs-3099	34	9	data	datum	NOUN
iajs-3099	34	10	set	set	VERB
iajs-3099	34	11	.	.	PUNCT
iajs-3099	35	1	[	[	X
iajs-3099	35	2	4	4	X
iajs-3099	35	3	]	]	PUNCT
iajs-3099	35	4	have	have	AUX
iajs-3099	35	5	introduced	introduce	VERB
iajs-3099	35	6	a	a	DET
iajs-3099	35	7	new	new	ADJ
iajs-3099	35	8	class	class	NOUN
iajs-3099	35	9	of	of	ADP
iajs-3099	35	10	weighted	weight	VERB
iajs-3099	35	11	erlang	erlang	PROPN
iajs-3099	35	12	distribution	distribution	NOUN
iajs-3099	35	13	.	.	PUNCT
iajs-3099	36	1	they	they	PRON
iajs-3099	36	2	discussed	discuss	VERB
iajs-3099	36	3	different	different	ADJ
iajs-3099	36	4	cases	case	NOUN
iajs-3099	36	5	of	of	ADP
iajs-3099	36	6	weighted	weight	VERB
iajs-3099	36	7	erlang	erlang	PROPN
iajs-3099	36	8	distribution	distribution	NOUN
iajs-3099	36	9	,	,	PUNCT
iajs-3099	36	10	and	and	CCONJ
iajs-3099	36	11	they	they	PRON
iajs-3099	36	12	derived	derive	VERB
iajs-3099	36	13	the	the	DET
iajs-3099	36	14	reliability	reliability	NOUN
iajs-3099	36	15	function	function	NOUN
iajs-3099	36	16	,	,	PUNCT
iajs-3099	36	17	the	the	DET
iajs-3099	36	18	rth	rth	PROPN
iajs-3099	36	19	non	non	ADJ
iajs-3099	36	20	-	-	ADJ
iajs-3099	36	21	central	central	ADJ
iajs-3099	36	22	moment	moment	NOUN
iajs-3099	36	23	and	and	CCONJ
iajs-3099	36	24	moment	moment	VERB
iajs-3099	36	25	generating	generate	VERB
iajs-3099	36	26	function	function	NOUN
iajs-3099	36	27	of	of	ADP
iajs-3099	36	28	weighted	weight	VERB
iajs-3099	36	29	erlang	erlang	PROPN
iajs-3099	36	30	distribution	distribution	NOUN
iajs-3099	36	31	.	.	PUNCT
iajs-3099	37	1	also	also	ADV
iajs-3099	37	2	,	,	PUNCT
iajs-3099	37	3	they	they	PRON
iajs-3099	37	4	introduced	introduce	VERB
iajs-3099	37	5	the	the	DET
iajs-3099	37	6	coefficient	coefficient	NOUN
iajs-3099	37	7	of	of	ADP
iajs-3099	37	8	variation	variation	NOUN
iajs-3099	37	9	,	,	PUNCT
iajs-3099	37	10	the	the	DET
iajs-3099	37	11	coefficient	coefficient	NOUN
iajs-3099	37	12	of	of	ADP
iajs-3099	37	13	skewness	skewness	NOUN
iajs-3099	37	14	,	,	PUNCT
iajs-3099	37	15	the	the	DET
iajs-3099	37	16	harmonic	harmonic	NOUN
iajs-3099	37	17	mean	mean	VERB
iajs-3099	37	18	,	,	PUNCT
iajs-3099	37	19	and	and	CCONJ
iajs-3099	37	20	the	the	DET
iajs-3099	37	21	entropy	entropy	PROPN
iajs-3099	37	22	estimation	estimation	NOUN
iajs-3099	37	23	of	of	ADP
iajs-3099	37	24	weighted	weight	VERB
iajs-3099	37	25	erlang	erlang	PROPN
iajs-3099	37	26	distribution	distribution	NOUN
iajs-3099	37	27	and	and	CCONJ
iajs-3099	37	28	based	base	VERB
iajs-3099	37	29	on	on	ADP
iajs-3099	37	30	this	this	DET
iajs-3099	37	31	calculate	calculate	NOUN
iajs-3099	37	32	the	the	DET
iajs-3099	37	33	aic	aic	PROPN
iajs-3099	37	34	(	(	PUNCT
iajs-3099	37	35	akaike	akaike	ADJ
iajs-3099	37	36	information	information	NOUN
iajs-3099	37	37	criterion	criterion	NOUN
iajs-3099	37	38	)	)	PUNCT
iajs-3099	37	39	,	,	PUNCT
iajs-3099	37	40	and	and	CCONJ
iajs-3099	37	41	bic	bic	PROPN
iajs-3099	37	42	(	(	PUNCT
iajs-3099	37	43	bayesian	bayesian	NOUN
iajs-3099	37	44	information	information	NOUN
iajs-3099	37	45	criterion	criterion	NOUN
iajs-3099	37	46	)	)	PUNCT
iajs-3099	37	47	using	use	VERB
iajs-3099	37	48	the	the	DET
iajs-3099	37	49	real	real	ADJ
iajs-3099	37	50	data	datum	NOUN
iajs-3099	37	51	set	set	VERB
iajs-3099	37	52	.	.	PUNCT
iajs-3099	38	1	they	they	PRON
iajs-3099	38	2	showed	show	VERB
iajs-3099	38	3	that	that	SCONJ
iajs-3099	38	4	the	the	DET
iajs-3099	38	5	weighted	weight	VERB
iajs-3099	38	6	erlang	erlang	NOUN
iajs-3099	38	7	distribution	distribution	NOUN
iajs-3099	38	8	gives	give	VERB
iajs-3099	38	9	better	well	ADJ
iajs-3099	38	10	results	result	NOUN
iajs-3099	38	11	and	and	CCONJ
iajs-3099	38	12	estimates	estimate	NOUN
iajs-3099	38	13	as	as	ADP
iajs-3099	38	14	compared	compare	VERB
iajs-3099	38	15	to	to	ADP
iajs-3099	38	16	exponential	exponential	NOUN
iajs-3099	38	17	and	and	CCONJ
iajs-3099	38	18	erlang	erlang	NOUN
iajs-3099	38	19	distributions	distribution	NOUN
iajs-3099	38	20	for	for	ADP
iajs-3099	38	21	the	the	DET
iajs-3099	38	22	data	datum	NOUN
iajs-3099	38	23	set	set	VERB
iajs-3099	38	24	.	.	PUNCT
iajs-3099	39	1	[	[	X
iajs-3099	39	2	5	5	NUM
iajs-3099	39	3	]	]	PUNCT
iajs-3099	39	4	discussed	discuss	VERB
iajs-3099	39	5	the	the	DET
iajs-3099	39	6	weighted	weighted	ADJ
iajs-3099	39	7	erlang	erlang	NOUN
iajs-3099	39	8	distribution	distribution	NOUN
iajs-3099	39	9	.	.	PUNCT
iajs-3099	40	1	they	they	PRON
iajs-3099	40	2	used	use	VERB
iajs-3099	40	3	different	different	ADJ
iajs-3099	40	4	estimation	estimation	NOUN
iajs-3099	40	5	methods	method	NOUN
iajs-3099	40	6	for	for	ADP
iajs-3099	40	7	the	the	DET
iajs-3099	40	8	scale	scale	NOUN
iajs-3099	40	9	parameter	parameter	NOUN
iajs-3099	40	10	of	of	ADP
iajs-3099	40	11	the	the	DET
iajs-3099	40	12	weighted	weight	VERB
iajs-3099	40	13	erlang	erlang	PROPN
iajs-3099	40	14	distribution	distribution	NOUN
iajs-3099	40	15	represented	represent	VERB
iajs-3099	40	16	by	by	ADP
iajs-3099	40	17	maximum	maximum	ADJ
iajs-3099	40	18	likelihood	likelihood	NOUN
iajs-3099	40	19	method	method	NOUN
iajs-3099	40	20	and	and	CCONJ
iajs-3099	40	21	bayes	bayes	PROPN
iajs-3099	40	22	estimation	estimation	NOUN
iajs-3099	40	23	method	method	NOUN
iajs-3099	40	24	.	.	PUNCT
iajs-3099	41	1	they	they	PRON
iajs-3099	41	2	derived	derive	VERB
iajs-3099	41	3	the	the	DET
iajs-3099	41	4	posterior	posterior	ADJ
iajs-3099	41	5	mean	mean	NOUN
iajs-3099	41	6	and	and	CCONJ
iajs-3099	41	7	posterior	posterior	ADJ
iajs-3099	41	8	variance	variance	NOUN
iajs-3099	41	9	of	of	ADP
iajs-3099	41	10	the	the	DET
iajs-3099	41	11	distribution	distribution	NOUN
iajs-3099	41	12	under	under	ADP
iajs-3099	41	13	squared	square	VERB
iajs-3099	41	14	error	error	NOUN
iajs-3099	41	15	loss	loss	NOUN
iajs-3099	41	16	function	function	NOUN
iajs-3099	41	17	(	(	PUNCT
iajs-3099	41	18	self	self	NOUN
iajs-3099	41	19	)	)	PUNCT
iajs-3099	41	20	,	,	PUNCT
iajs-3099	41	21	quadratic	quadratic	ADJ
iajs-3099	41	22	loss	loss	NOUN
iajs-3099	41	23	function	function	NOUN
iajs-3099	41	24	(	(	PUNCT
iajs-3099	41	25	qlf),and	qlf),and	NOUN
iajs-3099	41	26	entropy	entropy	NOUN
iajs-3099	41	27	loss	loss	NOUN
iajs-3099	41	28	function	function	NOUN
iajs-3099	41	29	(	(	PUNCT
iajs-3099	41	30	elf	elf	NOUN
iajs-3099	41	31	)	)	PUNCT
iajs-3099	41	32	using	use	VERB
iajs-3099	41	33	jeffrey`s	jeffrey`s	NOUN
iajs-3099	41	34	,	,	PUNCT
iajs-3099	41	35	extension	extension	NOUN
iajs-3099	41	36	of	of	ADP
iajs-3099	41	37	jeffrey`s	jeffrey`s	NOUN
iajs-3099	41	38	,	,	PUNCT
iajs-3099	41	39	and	and	CCONJ
iajs-3099	41	40	quasi	quasi	ADJ
iajs-3099	41	41	priors	prior	NOUN
iajs-3099	41	42	.	.	PUNCT
iajs-3099	42	1	the	the	DET
iajs-3099	42	2	results	result	NOUN
iajs-3099	42	3	of	of	ADP
iajs-3099	42	4	this	this	DET
iajs-3099	42	5	study	study	NOUN
iajs-3099	42	6	showed	show	VERB
iajs-3099	42	7	that	that	SCONJ
iajs-3099	42	8	the	the	DET
iajs-3099	42	9	extension	extension	NOUN
iajs-3099	42	10	of	of	ADP
iajs-3099	42	11	jeffrey	jeffrey	PROPN
iajs-3099	42	12	’s	’s	PART
iajs-3099	42	13	prior	prior	ADV
iajs-3099	42	14	is	be	AUX
iajs-3099	42	15	more	more	ADV
iajs-3099	42	16	efficient	efficient	ADJ
iajs-3099	42	17	as	as	ADP
iajs-3099	42	18	compared	compare	VERB
iajs-3099	42	19	to	to	ADP
iajs-3099	42	20	other	other	ADJ
iajs-3099	42	21	priors	prior	NOUN
iajs-3099	42	22	.	.	PUNCT
iajs-3099	43	1	[	[	X
iajs-3099	43	2	6	6	NUM
iajs-3099	43	3	]	]	PUNCT
iajs-3099	43	4	suggested	suggest	VERB
iajs-3099	43	5	a	a	DET
iajs-3099	43	6	new	new	ADJ
iajs-3099	43	7	continuous	continuous	ADJ
iajs-3099	43	8	model	model	NOUN
iajs-3099	43	9	called	call	VERB
iajs-3099	43	10	length	length	NOUN
iajs-3099	43	11	-	-	PUNCT
iajs-3099	43	12	biased	bias	VERB
iajs-3099	43	13	weighted	weight	VERB
iajs-3099	43	14	erlang	erlang	PROPN
iajs-3099	43	15	(	(	PUNCT
iajs-3099	43	16	lbwe	lbwe	NOUN
iajs-3099	43	17	)	)	PUNCT
iajs-3099	43	18	distribution	distribution	NOUN
iajs-3099	43	19	.	.	PUNCT
iajs-3099	44	1	they	they	PRON
iajs-3099	44	2	discussed	discuss	VERB
iajs-3099	44	3	the	the	DET
iajs-3099	44	4	basic	basic	ADJ
iajs-3099	44	5	properties	property	NOUN
iajs-3099	44	6	of	of	ADP
iajs-3099	44	7	this	this	DET
iajs-3099	44	8	distribution	distribution	NOUN
iajs-3099	44	9	such	such	ADJ
iajs-3099	44	10	as	as	ADP
iajs-3099	44	11	the	the	DET
iajs-3099	44	12	mean	mean	ADJ
iajs-3099	44	13	,	,	PUNCT
iajs-3099	44	14	variance	variance	NOUN
iajs-3099	44	15	,	,	PUNCT
iajs-3099	44	16	coefficient	coefficient	NOUN
iajs-3099	44	17	of	of	ADP
iajs-3099	44	18	variation	variation	NOUN
iajs-3099	44	19	,	,	PUNCT
iajs-3099	44	20	harmonic	harmonic	ADJ
iajs-3099	44	21	mean	mean	NOUN
iajs-3099	44	22	,	,	PUNCT
iajs-3099	44	23	moments	moment	NOUN
iajs-3099	44	24	,	,	PUNCT
iajs-3099	44	25	skewness	skewness	NOUN
iajs-3099	44	26	,	,	PUNCT
iajs-3099	44	27	kurtosis	kurtosis	NOUN
iajs-3099	44	28	,	,	PUNCT
iajs-3099	44	29	generating	generating	NOUN
iajs-3099	44	30	functions	function	NOUN
iajs-3099	44	31	,	,	PUNCT
iajs-3099	44	32	reliability	reliability	NOUN
iajs-3099	44	33	analysis	analysis	NOUN
iajs-3099	44	34	,	,	PUNCT
iajs-3099	44	35	rényi	rényi	NOUN
iajs-3099	44	36	of	of	ADP
iajs-3099	44	37	entropy	entropy	PROPN
iajs-3099	44	38	,	,	PUNCT
iajs-3099	44	39	order	order	NOUN
iajs-3099	44	40	statistics	statistic	NOUN
iajs-3099	44	41	,	,	PUNCT
iajs-3099	44	42	and	and	CCONJ
iajs-3099	44	43	record	record	NOUN
iajs-3099	44	44	statistics	statistic	NOUN
iajs-3099	44	45	.	.	PUNCT
iajs-3099	45	1	they	they	PRON
iajs-3099	45	2	also	also	ADV
iajs-3099	45	3	estimated	estimate	VERB
iajs-3099	45	4	the	the	DET
iajs-3099	45	5	parameters	parameter	NOUN
iajs-3099	45	6	of	of	ADP
iajs-3099	45	7	this	this	DET
iajs-3099	45	8	distribution	distribution	NOUN
iajs-3099	45	9	by	by	ADP
iajs-3099	45	10	using	use	VERB
iajs-3099	45	11	the	the	DET
iajs-3099	45	12	moments	moment	NOUN
iajs-3099	45	13	and	and	CCONJ
iajs-3099	45	14	maximum	maximum	ADJ
iajs-3099	45	15	likelihood	likelihood	NOUN
iajs-3099	45	16	techniques	technique	NOUN
iajs-3099	45	17	.	.	PUNCT
iajs-3099	46	1	they	they	PRON
iajs-3099	46	2	used	use	VERB
iajs-3099	46	3	a	a	DET
iajs-3099	46	4	real	real	ADJ
iajs-3099	46	5	application	application	NOUN
iajs-3099	46	6	for	for	ADP
iajs-3099	46	7	the	the	DET
iajs-3099	46	8	data	datum	NOUN
iajs-3099	46	9	set	set	VERB
iajs-3099	46	10	.	.	PUNCT
iajs-3099	47	1	the	the	DET
iajs-3099	47	2	results	result	NOUN
iajs-3099	47	3	showed	show	VERB
iajs-3099	47	4	that	that	SCONJ
iajs-3099	47	5	the	the	DET
iajs-3099	47	6	lbwe	lbwe	ADJ
iajs-3099	47	7	distribution	distribution	NOUN
iajs-3099	47	8	yields	yield	VERB
iajs-3099	47	9	a	a	DET
iajs-3099	47	10	better	well	ADV
iajs-3099	47	11	fit	fit	ADJ
iajs-3099	47	12	as	as	SCONJ
iajs-3099	47	13	compared	compare	VERB
iajs-3099	47	14	with	with	ADP
iajs-3099	47	15	the	the	DET
iajs-3099	47	16	erlang	erlang	PROPN
iajs-3099	47	17	distribution	distribution	NOUN
iajs-3099	47	18	according	accord	VERB
iajs-3099	47	19	to	to	ADP
iajs-3099	47	20	the	the	DET
iajs-3099	47	21	aic	aic	PROPN
iajs-3099	47	22	(	(	PUNCT
iajs-3099	47	23	akaike	akaike	ADJ
iajs-3099	47	24	information	information	NOUN
iajs-3099	47	25	criterion	criterion	NOUN
iajs-3099	47	26	)	)	PUNCT
iajs-3099	47	27	,	,	PUNCT
iajs-3099	47	28	aicc	aicc	NOUN
iajs-3099	47	29	(	(	PUNCT
iajs-3099	47	30	corrected	correct	VERB
iajs-3099	47	31	akaike	akaike	ADJ
iajs-3099	47	32	information	information	NOUN
iajs-3099	47	33	criterion	criterion	NOUN
iajs-3099	47	34	)	)	PUNCT
iajs-3099	47	35	,	,	PUNCT
iajs-3099	47	36	caic	caic	PROPN
iajs-3099	47	37	(	(	PUNCT
iajs-3099	47	38	consistent	consistent	ADJ
iajs-3099	47	39	akaike	akaike	ADJ
iajs-3099	47	40	information	information	NOUN
iajs-3099	47	41	criterion	criterion	NOUN
iajs-3099	47	42	)	)	PUNCT
iajs-3099	47	43	and	and	CCONJ
iajs-3099	47	44	bic	bic	PROPN
iajs-3099	47	45	(	(	PUNCT
iajs-3099	47	46	bayesian	bayesian	NOUN
iajs-3099	47	47	information	information	NOUN
iajs-3099	47	48	criterion	criterion	NOUN
iajs-3099	47	49	)	)	PUNCT
iajs-3099	47	50	.	.	PUNCT
iajs-3099	48	1	[	[	X
iajs-3099	48	2	7	7	X
iajs-3099	48	3	]	]	PUNCT
iajs-3099	48	4	discussed	discuss	VERB
iajs-3099	48	5	bayes	bayes	NOUN
iajs-3099	48	6	estimators	estimator	NOUN
iajs-3099	48	7	for	for	ADP
iajs-3099	48	8	shape	shape	NOUN
iajs-3099	48	9	and	and	CCONJ
iajs-3099	48	10	scale	scale	NOUN
iajs-3099	48	11	parameters	parameter	NOUN
iajs-3099	48	12	of	of	ADP
iajs-3099	48	13	erlang	erlang	NOUN
iajs-3099	48	14	distribution	distribution	NOUN
iajs-3099	48	15	based	base	VERB
iajs-3099	48	16	on	on	ADP
iajs-3099	48	17	the	the	DET
iajs-3099	48	18	squared	square	VERB
iajs-3099	48	19	error	error	NOUN
iajs-3099	48	20	loss	loss	NOUN
iajs-3099	48	21	function	function	NOUN
iajs-3099	48	22	.	.	PUNCT
iajs-3099	49	1	they	they	PRON
iajs-3099	49	2	assumed	assume	VERB
iajs-3099	49	3	ihjpas	ihjpas	PROPN
iajs-3099	49	4	.	.	PUNCT
iajs-3099	50	1	36	36	NUM
iajs-3099	50	2	(	(	PUNCT
iajs-3099	50	3	3	3	NUM
iajs-3099	50	4	)	)	PUNCT
iajs-3099	50	5	2023	2023	NUM
iajs-3099	50	6	333	333	NUM
iajs-3099	50	7	different	different	ADJ
iajs-3099	50	8	informative	informative	ADJ
iajs-3099	50	9	priors	prior	NOUN
iajs-3099	50	10	which	which	PRON
iajs-3099	50	11	are	be	AUX
iajs-3099	50	12	represented	represent	VERB
iajs-3099	50	13	by	by	ADP
iajs-3099	50	14	consul	consul	NOUN
iajs-3099	50	15	and	and	CCONJ
iajs-3099	50	16	geeta	geeta	PROPN
iajs-3099	50	17	and	and	CCONJ
iajs-3099	50	18	size	size	NOUN
iajs-3099	50	19	biased	bias	VERB
iajs-3099	50	20	poisson	poisson	NOUN
iajs-3099	50	21	distributions	distribution	NOUN
iajs-3099	50	22	for	for	ADP
iajs-3099	50	23	shape	shape	NOUN
iajs-3099	50	24	parameter	parameter	NOUN
iajs-3099	50	25	.	.	PUNCT
iajs-3099	51	1	they	they	PRON
iajs-3099	51	2	also	also	ADV
iajs-3099	51	3	assumed	assume	VERB
iajs-3099	51	4	two	two	NUM
iajs-3099	51	5	different	different	ADJ
iajs-3099	51	6	informative	informative	ADJ
iajs-3099	51	7	priors	prior	NOUN
iajs-3099	51	8	for	for	ADP
iajs-3099	51	9	both	both	CCONJ
iajs-3099	51	10	shape	shape	NOUN
iajs-3099	51	11	and	and	CCONJ
iajs-3099	51	12	scale	scale	NOUN
iajs-3099	51	13	parameters	parameter	NOUN
iajs-3099	51	14	which	which	PRON
iajs-3099	51	15	are	be	AUX
iajs-3099	51	16	represented	represent	VERB
iajs-3099	51	17	by	by	ADP
iajs-3099	51	18	(	(	PUNCT
iajs-3099	51	19	consul	consul	NOUN
iajs-3099	51	20	inverted	invert	VERB
iajs-3099	51	21	gamma	gamma	NOUN
iajs-3099	51	22	)	)	PUNCT
iajs-3099	51	23	and	and	CCONJ
iajs-3099	51	24	(	(	PUNCT
iajs-3099	51	25	consul	consul	NOUN
iajs-3099	51	26	and	and	CCONJ
iajs-3099	51	27	gamma	gamma	NOUN
iajs-3099	51	28	)	)	PUNCT
iajs-3099	51	29	and	and	CCONJ
iajs-3099	51	30	(	(	PUNCT
iajs-3099	51	31	geeta	geeta	PROPN
iajs-3099	51	32	and	and	CCONJ
iajs-3099	51	33	inverted	inverted	ADJ
iajs-3099	51	34	gamma	gamma	NOUN
iajs-3099	51	35	)	)	PUNCT
iajs-3099	51	36	and	and	CCONJ
iajs-3099	51	37	(	(	PUNCT
iajs-3099	51	38	geeta	geeta	PROPN
iajs-3099	51	39	and	and	CCONJ
iajs-3099	51	40	gamma	gamma	PROPN
iajs-3099	51	41	)	)	PUNCT
iajs-3099	51	42	and	and	CCONJ
iajs-3099	51	43	(	(	PUNCT
iajs-3099	51	44	size	size	NOUN
iajs-3099	51	45	biased	bias	VERB
iajs-3099	51	46	poisson	poisson	NOUN
iajs-3099	51	47	and	and	CCONJ
iajs-3099	51	48	inverted	inverted	ADJ
iajs-3099	51	49	gamma	gamma	NOUN
iajs-3099	51	50	)	)	PUNCT
iajs-3099	51	51	.	.	PUNCT
iajs-3099	52	1	[	[	X
iajs-3099	52	2	8	8	NUM
iajs-3099	52	3	]	]	PUNCT
iajs-3099	52	4	used	use	VERB
iajs-3099	52	5	bayesian	bayesian	NOUN
iajs-3099	52	6	approach	approach	NOUN
iajs-3099	52	7	for	for	ADP
iajs-3099	52	8	estimating	estimate	VERB
iajs-3099	52	9	the	the	DET
iajs-3099	52	10	scale	scale	NOUN
iajs-3099	52	11	parameter	parameter	NOUN
iajs-3099	52	12	of	of	ADP
iajs-3099	52	13	weighted	weight	VERB
iajs-3099	52	14	erlang	erlang	PROPN
iajs-3099	52	15	distribution	distribution	NOUN
iajs-3099	52	16	.	.	PUNCT
iajs-3099	53	1	they	they	PRON
iajs-3099	53	2	assumed	assume	VERB
iajs-3099	53	3	inverse	inverse	NOUN
iajs-3099	53	4	exponential	exponential	NOUN
iajs-3099	53	5	and	and	CCONJ
iajs-3099	53	6	inverse	inverse	ADJ
iajs-3099	53	7	chi	chi	NOUN
iajs-3099	53	8	-	-	PUNCT
iajs-3099	53	9	square	square	NOUN
iajs-3099	53	10	as	as	ADP
iajs-3099	53	11	prior	prior	ADJ
iajs-3099	53	12	distributions	distribution	NOUN
iajs-3099	53	13	.	.	PUNCT
iajs-3099	54	1	they	they	PRON
iajs-3099	54	2	derived	derive	VERB
iajs-3099	54	3	bayesian	bayesian	NOUN
iajs-3099	54	4	estimators	estimator	NOUN
iajs-3099	54	5	based	base	VERB
iajs-3099	54	6	on	on	ADP
iajs-3099	54	7	squared	square	VERB
iajs-3099	54	8	error	error	NOUN
iajs-3099	54	9	loss	loss	NOUN
iajs-3099	54	10	function	function	NOUN
iajs-3099	54	11	(	(	PUNCT
iajs-3099	54	12	self	self	NOUN
iajs-3099	54	13	)	)	PUNCT
iajs-3099	54	14	,	,	PUNCT
iajs-3099	54	15	and	and	CCONJ
iajs-3099	54	16	precautionary	precautionary	ADJ
iajs-3099	54	17	loss	loss	NOUN
iajs-3099	54	18	function	function	NOUN
iajs-3099	54	19	(	(	PUNCT
iajs-3099	54	20	plf	plf	NOUN
iajs-3099	54	21	)	)	PUNCT
iajs-3099	54	22	.	.	PUNCT
iajs-3099	55	1	they	they	PRON
iajs-3099	55	2	used	use	VERB
iajs-3099	55	3	simulation	simulation	NOUN
iajs-3099	55	4	to	to	PART
iajs-3099	55	5	obtain	obtain	VERB
iajs-3099	55	6	the	the	DET
iajs-3099	55	7	numerical	numerical	ADJ
iajs-3099	55	8	value	value	NOUN
iajs-3099	55	9	of	of	ADP
iajs-3099	55	10	the	the	DET
iajs-3099	55	11	bayesian	bayesian	NOUN
iajs-3099	55	12	estimates	estimate	NOUN
iajs-3099	55	13	and	and	CCONJ
iajs-3099	55	14	posterior	posterior	ADJ
iajs-3099	55	15	risks	risk	NOUN
iajs-3099	55	16	.	.	PUNCT
iajs-3099	56	1	they	they	PRON
iajs-3099	56	2	concluded	conclude	VERB
iajs-3099	56	3	self	self	NOUN
iajs-3099	56	4	yields	yield	NOUN
iajs-3099	56	5	least	least	ADJ
iajs-3099	56	6	estimates	estimate	NOUN
iajs-3099	56	7	than	than	ADP
iajs-3099	56	8	plf	plf	NOUN
iajs-3099	56	9	,	,	PUNCT
iajs-3099	56	10	and	and	CCONJ
iajs-3099	56	11	the	the	DET
iajs-3099	56	12	squared	square	VERB
iajs-3099	56	13	error	error	NOUN
iajs-3099	56	14	loss	loss	NOUN
iajs-3099	56	15	function	function	NOUN
iajs-3099	56	16	of	of	ADP
iajs-3099	56	17	inverse	inverse	NOUN
iajs-3099	56	18	exponential	exponential	NOUN
iajs-3099	56	19	prior	prior	ADV
iajs-3099	56	20	was	be	AUX
iajs-3099	56	21	the	the	DET
iajs-3099	56	22	best	good	ADJ
iajs-3099	56	23	among	among	ADP
iajs-3099	56	24	bayesian	bayesian	NOUN
iajs-3099	56	25	estimators	estimator	NOUN
iajs-3099	56	26	.	.	PUNCT
iajs-3099	57	1	[	[	X
iajs-3099	57	2	9	9	NUM
iajs-3099	57	3	]	]	PUNCT
iajs-3099	57	4	used	use	VERB
iajs-3099	57	5	different	different	ADJ
iajs-3099	57	6	estimation	estimation	NOUN
iajs-3099	57	7	methods	method	NOUN
iajs-3099	57	8	for	for	ADP
iajs-3099	57	9	the	the	DET
iajs-3099	57	10	rate	rate	NOUN
iajs-3099	57	11	parameter	parameter	NOUN
iajs-3099	57	12	,	,	PUNCT
iajs-3099	57	13	including	include	VERB
iajs-3099	57	14	the	the	DET
iajs-3099	57	15	maximum	maximum	ADJ
iajs-3099	57	16	likelihood	likelihood	NOUN
iajs-3099	57	17	method	method	NOUN
iajs-3099	57	18	,	,	PUNCT
iajs-3099	57	19	method	method	NOUN
iajs-3099	57	20	of	of	ADP
iajs-3099	57	21	moments	moment	NOUN
iajs-3099	57	22	and	and	CCONJ
iajs-3099	57	23	bayesian	bayesian	NOUN
iajs-3099	57	24	method	method	NOUN
iajs-3099	57	25	of	of	ADP
iajs-3099	57	26	estimation	estimation	NOUN
iajs-3099	57	27	.	.	PUNCT
iajs-3099	58	1	they	they	PRON
iajs-3099	58	2	derived	derive	VERB
iajs-3099	58	3	bayesian	bayesian	NOUN
iajs-3099	58	4	estimator	estimator	NOUN
iajs-3099	58	5	under	under	ADP
iajs-3099	58	6	two	two	NUM
iajs-3099	58	7	different	different	ADJ
iajs-3099	58	8	priors	prior	NOUN
iajs-3099	58	9	jeffrey	jeffrey	PROPN
iajs-3099	58	10	’s	’s	PART
iajs-3099	58	11	prior	prior	ADV
iajs-3099	58	12	and	and	CCONJ
iajs-3099	58	13	quasi	quasi	PROPN
iajs-3099	58	14	prior	prior	ADV
iajs-3099	58	15	based	base	VERB
iajs-3099	58	16	on	on	ADP
iajs-3099	58	17	three	three	NUM
iajs-3099	58	18	different	different	ADJ
iajs-3099	58	19	loss	loss	NOUN
iajs-3099	58	20	functions	function	NOUN
iajs-3099	58	21	which	which	PRON
iajs-3099	58	22	are	be	AUX
iajs-3099	58	23	precautionary	precautionary	ADJ
iajs-3099	58	24	loss	loss	NOUN
iajs-3099	58	25	function	function	NOUN
iajs-3099	58	26	(	(	PUNCT
iajs-3099	58	27	plf	plf	NOUN
iajs-3099	58	28	)	)	PUNCT
iajs-3099	58	29	,	,	PUNCT
iajs-3099	58	30	al	al	PROPN
iajs-3099	58	31	-	-	PUNCT
iajs-3099	58	32	bayyati	bayyati	PROPN
iajs-3099	58	33	’s	’s	PART
iajs-3099	58	34	loss	loss	NOUN
iajs-3099	58	35	function	function	NOUN
iajs-3099	58	36	(	(	PUNCT
iajs-3099	58	37	alf	alf	NOUN
iajs-3099	58	38	)	)	PUNCT
iajs-3099	58	39	,	,	PUNCT
iajs-3099	58	40	linex	linex	ADV
iajs-3099	58	41	loss	loss	NOUN
iajs-3099	58	42	function	function	NOUN
iajs-3099	58	43	(	(	PUNCT
iajs-3099	58	44	llf	llf	PROPN
iajs-3099	58	45	)	)	PUNCT
iajs-3099	58	46	.	.	PUNCT
iajs-3099	59	1	they	they	PRON
iajs-3099	59	2	fellfield	fellfield	VERB
iajs-3099	59	3	simulation	simulation	NOUN
iajs-3099	59	4	study	study	NOUN
iajs-3099	59	5	in	in	ADP
iajs-3099	59	6	r	r	NOUN
iajs-3099	59	7	-	-	PUNCT
iajs-3099	59	8	software	software	NOUN
iajs-3099	59	9	to	to	PART
iajs-3099	59	10	compare	compare	VERB
iajs-3099	59	11	different	different	ADJ
iajs-3099	59	12	methods	method	NOUN
iajs-3099	59	13	by	by	ADP
iajs-3099	59	14	using	use	VERB
iajs-3099	59	15	mean	mean	ADJ
iajs-3099	59	16	square	square	ADJ
iajs-3099	59	17	error	error	NOUN
iajs-3099	59	18	with	with	ADP
iajs-3099	59	19	different	different	ADJ
iajs-3099	59	20	sample	sample	NOUN
iajs-3099	59	21	sizes	size	NOUN
iajs-3099	59	22	.	.	PUNCT
iajs-3099	60	1	they	they	PRON
iajs-3099	60	2	applied	apply	VERB
iajs-3099	60	3	parametric	parametric	ADJ
iajs-3099	60	4	estimation	estimation	NOUN
iajs-3099	60	5	to	to	ADP
iajs-3099	60	6	the	the	DET
iajs-3099	60	7	data	data	NOUN
iajs-3099	60	8	sets	set	NOUN
iajs-3099	60	9	of	of	ADP
iajs-3099	60	10	real	real	ADJ
iajs-3099	60	11	life	life	NOUN
iajs-3099	60	12	.	.	PUNCT
iajs-3099	61	1	[	[	X
iajs-3099	61	2	10	10	NUM
iajs-3099	61	3	]	]	PUNCT
iajs-3099	61	4	applied	apply	VERB
iajs-3099	61	5	power	power	NOUN
iajs-3099	61	6	transformation	transformation	NOUN
iajs-3099	61	7	method	method	NOUN
iajs-3099	61	8	to	to	PART
iajs-3099	61	9	obtain	obtain	VERB
iajs-3099	61	10	an	an	DET
iajs-3099	61	11	extension	extension	NOUN
iajs-3099	61	12	of	of	ADP
iajs-3099	61	13	erlang	erlang	NOUN
iajs-3099	61	14	distribution	distribution	NOUN
iajs-3099	61	15	.	.	PUNCT
iajs-3099	62	1	they	they	PRON
iajs-3099	62	2	also	also	ADV
iajs-3099	62	3	derived	derive	VERB
iajs-3099	62	4	several	several	ADJ
iajs-3099	62	5	mathematical	mathematical	ADJ
iajs-3099	62	6	quantities	quantity	NOUN
iajs-3099	62	7	for	for	ADP
iajs-3099	62	8	this	this	DET
iajs-3099	62	9	distribution	distribution	NOUN
iajs-3099	62	10	.	.	PUNCT
iajs-3099	63	1	they	they	PRON
iajs-3099	63	2	also	also	ADV
iajs-3099	63	3	discussed	discuss	VERB
iajs-3099	63	4	moments	moment	NOUN
iajs-3099	63	5	,	,	PUNCT
iajs-3099	63	6	moment	moment	NOUN
iajs-3099	63	7	generating	generate	VERB
iajs-3099	63	8	function	function	NOUN
iajs-3099	63	9	,	,	PUNCT
iajs-3099	63	10	skewness	skewness	NOUN
iajs-3099	63	11	,	,	PUNCT
iajs-3099	63	12	kurtosis	kurtosis	NOUN
iajs-3099	63	13	,	,	PUNCT
iajs-3099	63	14	incomplete	incomplete	ADJ
iajs-3099	63	15	moments	moment	NOUN
iajs-3099	63	16	,	,	PUNCT
iajs-3099	63	17	mode	mode	NOUN
iajs-3099	63	18	,	,	PUNCT
iajs-3099	63	19	median	median	ADJ
iajs-3099	63	20	,	,	PUNCT
iajs-3099	63	21	order	order	NOUN
iajs-3099	63	22	statistics	statistic	NOUN
iajs-3099	63	23	,	,	PUNCT
iajs-3099	63	24	different	different	ADJ
iajs-3099	63	25	measure	measure	NOUN
iajs-3099	63	26	of	of	ADP
iajs-3099	63	27	entropies	entropy	NOUN
iajs-3099	63	28	,	,	PUNCT
iajs-3099	63	29	mean	mean	ADJ
iajs-3099	63	30	deviations	deviation	NOUN
iajs-3099	63	31	,	,	PUNCT
iajs-3099	63	32	bonferroni	bonferroni	NOUN
iajs-3099	63	33	and	and	CCONJ
iajs-3099	63	34	lorenz	lorenz	PROPN
iajs-3099	63	35	curves	curve	NOUN
iajs-3099	63	36	.	.	PUNCT
iajs-3099	64	1	an	an	DET
iajs-3099	64	2	account	account	NOUN
iajs-3099	64	3	of	of	ADP
iajs-3099	64	4	reliability	reliability	NOUN
iajs-3099	64	5	analysis	analysis	NOUN
iajs-3099	64	6	.	.	PUNCT
iajs-3099	65	1	the	the	DET
iajs-3099	65	2	applied	apply	VERB
iajs-3099	65	3	maximum	maximum	ADJ
iajs-3099	65	4	likelihood	likelihood	NOUN
iajs-3099	65	5	estimation	estimation	NOUN
iajs-3099	65	6	for	for	ADP
iajs-3099	65	7	estimating	estimate	VERB
iajs-3099	65	8	the	the	DET
iajs-3099	65	9	parameters	parameter	NOUN
iajs-3099	65	10	of	of	ADP
iajs-3099	65	11	the	the	DET
iajs-3099	65	12	distribution	distribution	NOUN
iajs-3099	65	13	.	.	PUNCT
iajs-3099	66	1	a	a	DET
iajs-3099	66	2	bayesian	bayesian	NOUN
iajs-3099	66	3	estimators	estimator	NOUN
iajs-3099	66	4	are	be	AUX
iajs-3099	66	5	discussed	discuss	VERB
iajs-3099	66	6	in	in	ADP
iajs-3099	66	7	this	this	DET
iajs-3099	66	8	study	study	NOUN
iajs-3099	66	9	for	for	ADP
iajs-3099	66	10	unknown	unknown	ADJ
iajs-3099	66	11	scale	scale	NOUN
iajs-3099	66	12	parameter	parameter	NOUN
iajs-3099	66	13			PROPN
iajs-3099	66	14	when	when	SCONJ
iajs-3099	66	15	shape	shape	NOUN
iajs-3099	66	16	parameter	parameter	PROPN
iajs-3099	66	17	η	η	PROPN
iajs-3099	66	18	is	be	AUX
iajs-3099	66	19	known	know	VERB
iajs-3099	66	20	for	for	ADP
iajs-3099	66	21	erlang	erlang	NOUN
iajs-3099	66	22	distribution	distribution	NOUN
iajs-3099	66	23	,	,	PUNCT
iajs-3099	66	24	assuming	assume	VERB
iajs-3099	66	25	different	different	ADJ
iajs-3099	66	26	informative	informative	ADJ
iajs-3099	66	27	priors	prior	NOUN
iajs-3099	66	28	for	for	ADP
iajs-3099	66	29	unknown	unknown	ADJ
iajs-3099	66	30	scale	scale	NOUN
iajs-3099	66	31	parameter	parameter	PROPN
iajs-3099	66	32	.we	.we	PUNCT
iajs-3099	67	1	derived	derive	VERB
iajs-3099	67	2	the	the	DET
iajs-3099	67	3	posterior	posterior	ADJ
iajs-3099	67	4	density	density	NOUN
iajs-3099	67	5	with	with	ADP
iajs-3099	67	6	posterior	posterior	ADJ
iajs-3099	67	7	mean	mean	NOUN
iajs-3099	67	8	and	and	CCONJ
iajs-3099	67	9	posterior	posterior	ADJ
iajs-3099	67	10	variance	variance	NOUN
iajs-3099	67	11	using	use	VERB
iajs-3099	67	12	different	different	ADJ
iajs-3099	67	13	informative	informative	ADJ
iajs-3099	67	14	priors	prior	NOUN
iajs-3099	67	15	for	for	ADP
iajs-3099	67	16	unknown	unknown	ADJ
iajs-3099	67	17	scale	scale	NOUN
iajs-3099	67	18	parameter	parameter	NOUN
iajs-3099	67	19			PROPN
iajs-3099	67	20	which	which	PRON
iajs-3099	67	21	are	be	AUX
iajs-3099	67	22	the	the	DET
iajs-3099	67	23	inverse	inverse	ADJ
iajs-3099	67	24	exponential	exponential	ADJ
iajs-3099	67	25	distribution	distribution	NOUN
iajs-3099	67	26	,	,	PUNCT
iajs-3099	67	27	the	the	DET
iajs-3099	67	28	inverse	inverse	ADJ
iajs-3099	67	29	chi	chi	ADJ
iajs-3099	67	30	-	-	PUNCT
iajs-3099	67	31	square	square	ADJ
iajs-3099	67	32	distribution	distribution	NOUN
iajs-3099	67	33	,	,	PUNCT
iajs-3099	67	34	the	the	DET
iajs-3099	67	35	inverse	inverse	NOUN
iajs-3099	67	36	gamma	gamma	NOUN
iajs-3099	67	37	distribution	distribution	NOUN
iajs-3099	67	38	and	and	CCONJ
iajs-3099	67	39	the	the	DET
iajs-3099	67	40	standard	standard	ADJ
iajs-3099	67	41	levy	levy	NOUN
iajs-3099	67	42	distribution	distribution	NOUN
iajs-3099	67	43	as	as	ADP
iajs-3099	67	44	prior	prior	ADV
iajs-3099	67	45	.we	.we	PUNCT
iajs-3099	68	1	depend	depend	VERB
iajs-3099	68	2	on	on	ADP
iajs-3099	68	3	general	general	ADJ
iajs-3099	68	4	entropy	entropy	NOUN
iajs-3099	68	5	loss	loss	NOUN
iajs-3099	68	6	function	function	NOUN
iajs-3099	68	7	(	(	PUNCT
iajs-3099	68	8	gelf	gelf	NOUN
iajs-3099	68	9	)	)	PUNCT
iajs-3099	68	10	to	to	PART
iajs-3099	68	11	derive	derive	VERB
iajs-3099	68	12	bayes	bayes	NOUN
iajs-3099	68	13	estimators	estimator	NOUN
iajs-3099	68	14	for	for	ADP
iajs-3099	68	15			ADJ
iajs-3099	68	16	.	.	PUNCT
iajs-3099	69	1	2	2	X
iajs-3099	69	2	.	.	X
iajs-3099	69	3	erlang	erlang	NOUN
iajs-3099	69	4	distribution	distribution	NOUN
iajs-3099	69	5	supposed	suppose	VERB
iajs-3099	69	6	)	)	PUNCT
iajs-3099	69	7	t	t	PROPN
iajs-3099	69	8	,	,	PUNCT
iajs-3099	69	9	...	...	PUNCT
iajs-3099	69	10	,	,	PUNCT
iajs-3099	69	11	t,(t	t,(t	PROPN
iajs-3099	69	12	n21	n21	PROPN
iajs-3099	69	13	to	to	PART
iajs-3099	69	14	be	be	AUX
iajs-3099	69	15	a	a	DET
iajs-3099	69	16	random	random	ADJ
iajs-3099	69	17	sample	sample	NOUN
iajs-3099	69	18	of	of	ADP
iajs-3099	69	19	size	size	NOUN
iajs-3099	69	20	(	(	PUNCT
iajs-3099	69	21	n	n	CCONJ
iajs-3099	69	22	)	)	PUNCT
iajs-3099	69	23	with	with	ADP
iajs-3099	69	24	probability	probability	NOUN
iajs-3099	69	25	density	density	NOUN
iajs-3099	69	26	function	function	NOUN
iajs-3099	69	27	(	(	PUNCT
iajs-3099	69	28	pdf	pdf	NOUN
iajs-3099	69	29	)	)	PUNCT
iajs-3099	69	30	of	of	ADP
iajs-3099	69	31	erlang	erlang	NOUN
iajs-3099	69	32	distribution	distribution	NOUN
iajs-3099	69	33	[	[	X
iajs-3099	69	34	3	3	X
iajs-3099	69	35	]	]	PUNCT
iajs-3099	69	36	is	be	AUX
iajs-3099	69	37	given	give	VERB
iajs-3099	69	38	by	by	ADP
iajs-3099	69	39	(	(	PUNCT
iajs-3099	69	40	1	1	NUM
iajs-3099	69	41	)	)	PUNCT
iajs-3099	69	42	1,2,3,η	1,2,3,η	NOUN
iajs-3099	69	43	,	,	PUNCT
iajs-3099	69	44	0	0	NUM
iajs-3099	69	45	,	,	PUNCT
iajs-3099	69	46	0	0	NUM
iajs-3099	69	47	t	t	PROPN
iajs-3099	69	48	,	,	PUNCT
iajs-3099	69	49	)	)	PUNCT
iajs-3099	69	50	t	t	X
iajs-3099	69	51	exp(t	exp(t	PROPN
iajs-3099	69	52	γ(η	γ(η	PROPN
iajs-3099	69	53	)	)	PUNCT
iajs-3099	69	54	1	1	NUM
iajs-3099	69	55	)	)	PUNCT
iajs-3099	69	56	η	η	PROPN
iajs-3099	69	57	,	,	PUNCT
iajs-3099	69	58	g(t	g(t	PROPN
iajs-3099	69	59	,	,	PUNCT
iajs-3099	69	60	1η	1η	PROPN
iajs-3099	69	61	η	η	PROPN
iajs-3099	69	62			PROPN
iajs-3099	69	63			PROPN
iajs-3099	69	64			PROPN
iajs-3099	69	65			PROPN
iajs-3099	69	66			PROPN
iajs-3099	69	67	where	where	SCONJ
iajs-3099	69	68	)	)	PUNCT
iajs-3099	69	69	γ	γ	X
iajs-3099	69	70	(	(	PUNCT
iajs-3099	69	71	.	.	PUNCT
iajs-3099	69	72	is	be	AUX
iajs-3099	69	73	a	a	DET
iajs-3099	69	74	gamma	gamma	NOUN
iajs-3099	69	75	function	function	NOUN
iajs-3099	69	76	and	and	CCONJ
iajs-3099	69	77			PROPN
iajs-3099	69	78	,	,	PUNCT
iajs-3099	69	79	η	η	PROPN
iajs-3099	69	80	are	be	AUX
iajs-3099	69	81	the	the	DET
iajs-3099	69	82	shape	shape	NOUN
iajs-3099	69	83	and	and	CCONJ
iajs-3099	69	84	scale	scale	NOUN
iajs-3099	69	85	parameters	parameter	NOUN
iajs-3099	69	86	respectively	respectively	ADV
iajs-3099	69	87	,	,	PUNCT
iajs-3099	69	88	such	such	ADJ
iajs-3099	69	89	that	that	SCONJ
iajs-3099	69	90	η	η	PROPN
iajs-3099	69	91	is	be	AUX
iajs-3099	69	92	an	an	DET
iajs-3099	69	93	integer	integer	NOUN
iajs-3099	69	94	number	number	NOUN
iajs-3099	69	95	.	.	PUNCT
iajs-3099	70	1	when	when	SCONJ
iajs-3099	70	2	the	the	DET
iajs-3099	70	3	shape	shape	NOUN
iajs-3099	70	4	parameter	parameter	NOUN
iajs-3099	70	5	is	be	AUX
iajs-3099	70	6	)	)	PUNCT
iajs-3099	70	7	0	0	PUNCT
iajs-3099	71	1	(	(	PUNCT
iajs-3099	71	2	η	η	PROPN
iajs-3099	71	3			PROPN
iajs-3099	71	4	then	then	ADV
iajs-3099	71	5	it	it	PRON
iajs-3099	71	6	is	be	AUX
iajs-3099	71	7	known	know	VERB
iajs-3099	71	8	as	as	ADP
iajs-3099	71	9	the	the	DET
iajs-3099	71	10	gamma	gamma	NOUN
iajs-3099	71	11	distribution	distribution	NOUN
iajs-3099	71	12	.	.	PUNCT
iajs-3099	72	1	the	the	DET
iajs-3099	72	2	cumulative	cumulative	ADJ
iajs-3099	72	3	distribution	distribution	NOUN
iajs-3099	72	4	function	function	NOUN
iajs-3099	72	5	(	(	PUNCT
iajs-3099	72	6	cdf	cdf	PROPN
iajs-3099	72	7	)	)	PUNCT
iajs-3099	72	8	has	have	VERB
iajs-3099	72	9	the	the	DET
iajs-3099	72	10	following	follow	VERB
iajs-3099	72	11	form	form	NOUN
iajs-3099	72	12	(	(	PUNCT
iajs-3099	72	13	2	2	NUM
iajs-3099	72	14	)	)	PUNCT
iajs-3099	72	15	γ(η	γ(η	NOUN
iajs-3099	72	16	)	)	PUNCT
iajs-3099	72	17	z)γ(η	z)γ(η	NOUN
iajs-3099	72	18	,	,	PUNCT
iajs-3099	72	19	)	)	PUNCT
iajs-3099	72	20	γ	γ	PROPN
iajs-3099	72	21	,	,	PUNCT
iajs-3099	72	22	g(t	g(t	PROPN
iajs-3099	72	23	,	,	PUNCT
iajs-3099	72	24			X
iajs-3099	72	25	ihjpas	ihjpas	PROPN
iajs-3099	72	26	.	.	PUNCT
iajs-3099	73	1	36	36	NUM
iajs-3099	73	2	(	(	PUNCT
iajs-3099	73	3	3	3	NUM
iajs-3099	73	4	)	)	PUNCT
iajs-3099	73	5	2023	2023	NUM
iajs-3099	73	6	334	334	NUM
iajs-3099	73	7	where	where	SCONJ
iajs-3099	73	8	z)γ(η	z)γ(η	NOUN
iajs-3099	73	9	,	,	PUNCT
iajs-3099	73	10	is	be	AUX
iajs-3099	73	11	the	the	DET
iajs-3099	73	12	lower	low	ADJ
iajs-3099	73	13	incomplete	incomplete	ADJ
iajs-3099	73	14	gamma	gamma	NOUN
iajs-3099	73	15	function	function	NOUN
iajs-3099	73	16	which	which	PRON
iajs-3099	73	17	equals	equal	VERB
iajs-3099	73	18	to	to	ADP
iajs-3099	73	19	(	(	PUNCT
iajs-3099	73	20	3	3	X
iajs-3099	73	21	)	)	PUNCT
iajs-3099	73	22	dz	dz	PROPN
iajs-3099	73	23	z)exp(zz)γ(η	z)exp(zz)γ(η	PROPN
iajs-3099	73	24	,	,	PUNCT
iajs-3099	73	25	1γ	1γ	NUM
iajs-3099	73	26	t	t	PROPN
iajs-3099	73	27	0	0	NUM
iajs-3099	73	28			ADJ
iajs-3099	73	29			NOUN
iajs-3099	74	1			PUNCT
iajs-3099	74	2	also	also	ADV
iajs-3099	74	3	,	,	PUNCT
iajs-3099	74	4	we	we	PRON
iajs-3099	74	5	can	can	AUX
iajs-3099	74	6	verify	verify	VERB
iajs-3099	74	7	the	the	PRON
iajs-3099	74	8	)	)	PUNCT
iajs-3099	74	9	(	(	PUNCT
iajs-3099	74	10	r	r	NOUN
iajs-3099	74	11	th	th	X
iajs-3099	74	12	moments	moment	NOUN
iajs-3099	74	13	for	for	ADP
iajs-3099	74	14	(	(	PUNCT
iajs-3099	74	15	r=1,2	r=1,2	ADJ
iajs-3099	74	16	,	,	PUNCT
iajs-3099	74	17	...	...	PUNCT
iajs-3099	74	18	)	)	PUNCT
iajs-3099	74	19	as	as	SCONJ
iajs-3099	74	20	follows	follow	VERB
iajs-3099	74	21	(	(	PUNCT
iajs-3099	74	22	4	4	NUM
iajs-3099	74	23	)	)	PUNCT
iajs-3099	74	24	dt	dt	NOUN
iajs-3099	74	25	)	)	PUNCT
iajs-3099	75	1	t	t	PROPN
iajs-3099	75	2	exp(t	exp(t	PROPN
iajs-3099	75	3	γ(η	γ(η	NOUN
iajs-3099	75	4	)	)	PUNCT
iajs-3099	75	5	1	1	NUM
iajs-3099	75	6	)	)	PUNCT
iajs-3099	75	7	dt	dt	PROPN
iajs-3099	75	8	η	η	PROPN
iajs-3099	75	9	,	,	PUNCT
iajs-3099	75	10	g(t	g(t	PROPN
iajs-3099	75	11	,	,	PUNCT
iajs-3099	75	12	1rη	1rη	ADJ
iajs-3099	75	13	η	η	PROPN
iajs-3099	75	14	00	00	PROPN
iajs-3099	75	15	r	r	NOUN
iajs-3099	75	16			PROPN
iajs-3099	75	17			NOUN
iajs-3099	75	18			NUM
iajs-3099	75	19			PROPN
iajs-3099	75	20			PROPN
iajs-3099	75	21			PROPN
iajs-3099	75	22	rt	rt	PROPN
iajs-3099	75	23	suppose	suppose	VERB
iajs-3099	75	24	dwdttw	dwdttw	PROPN
iajs-3099	75	25	t	t	PROPN
iajs-3099	76	1	w	w	PROPN
iajs-3099	76	2			PROPN
iajs-3099	77	1			PROPN
iajs-3099	77	2			NUM
iajs-3099	77	3	after	after	ADP
iajs-3099	77	4	substituting	substitute	VERB
iajs-3099	77	5	in	in	ADP
iajs-3099	77	6	equation	equation	NOUN
iajs-3099	77	7	(	(	PUNCT
iajs-3099	77	8	4	4	NUM
iajs-3099	77	9	)	)	PUNCT
iajs-3099	77	10	,	,	PUNCT
iajs-3099	77	11	we	we	PRON
iajs-3099	77	12	have	have	VERB
iajs-3099	77	13	dw	dw	NOUN
iajs-3099	77	14	w)exp((w	w)exp((w	NOUN
iajs-3099	77	15	)	)	PUNCT
iajs-3099	77	16	γ(η	γ(η	PROPN
iajs-3099	77	17	)	)	PUNCT
iajs-3099	77	18	)	)	PUNCT
iajs-3099	78	1	(	(	PUNCT
iajs-3099	78	2	dw	dw	PROPN
iajs-3099	78	3	w)exp(w	w)exp(w	PROPN
iajs-3099	78	4	)	)	PUNCT
iajs-3099	78	5	(	(	PUNCT
iajs-3099	78	6	γ(η	γ(η	PROPN
iajs-3099	78	7	)	)	PUNCT
iajs-3099	78	8	1	1	NUM
iajs-3099	78	9	μ	μ	NUM
iajs-3099	78	10	1rη	1rη	NOUN
iajs-3099	78	11	0	0	PUNCT
iajs-3099	78	12	η	η	PROPN
iajs-3099	78	13	rη	rη	NOUN
iajs-3099	78	14	1rη	1rη	NOUN
iajs-3099	78	15	0	0	NUM
iajs-3099	78	16	ηr	ηr	PROPN
iajs-3099	78	17			PROPN
iajs-3099	78	18			PROPN
iajs-3099	78	19			PROPN
iajs-3099	78	20			NOUN
iajs-3099	78	21			NOUN
iajs-3099	78	22			ADJ
iajs-3099	78	23			ADJ
iajs-3099	78	24			PROPN
iajs-3099	78	25			PROPN
iajs-3099	78	26			PROPN
iajs-3099	78	27	so	so	ADV
iajs-3099	78	28	,	,	PUNCT
iajs-3099	78	29	the	the	PRON
iajs-3099	78	30	)	)	PUNCT
iajs-3099	78	31	(	(	PUNCT
iajs-3099	78	32	r	r	NOUN
iajs-3099	78	33	th	th	X
iajs-3099	78	34	moments[11	moments[11	NOUN
iajs-3099	78	35	]	]	PUNCT
iajs-3099	78	36	of	of	ADP
iajs-3099	78	37	erlang	erlang	NOUN
iajs-3099	78	38	distribution	distribution	NOUN
iajs-3099	78	39	would	would	AUX
iajs-3099	78	40	be	be	AUX
iajs-3099	78	41	(	(	PUNCT
iajs-3099	78	42	5	5	NUM
iajs-3099	78	43	)	)	PUNCT
iajs-3099	78	44	γ(η	γ(η	NOUN
iajs-3099	78	45	)	)	PUNCT
iajs-3099	79	1	r)γ(η	r)γ(η	PROPN
iajs-3099	79	2	μ	μ	NOUN
iajs-3099	79	3	r	r	NOUN
iajs-3099	79	4	r	r	NOUN
iajs-3099	79	5			NOUN
iajs-3099	79	6			NUM
iajs-3099	79	7			ADJ
iajs-3099	79	8	if	if	SCONJ
iajs-3099	79	9	r=1	r=1	NOUN
iajs-3099	79	10	,	,	PUNCT
iajs-3099	79	11	we	we	PRON
iajs-3099	79	12	obtain	obtain	VERB
iajs-3099	79	13	the	the	DET
iajs-3099	79	14	mean	mean	NOUN
iajs-3099	79	15	of	of	ADP
iajs-3099	79	16	the	the	DET
iajs-3099	79	17	erlang	erlang	PROPN
iajs-3099	79	18	distribution	distribution	NOUN
iajs-3099	79	19	(	(	PUNCT
iajs-3099	79	20	6	6	NUM
iajs-3099	79	21	)	)	PUNCT
iajs-3099	79	22	η	η	NOUN
iajs-3099	79	23	μmean	μmean	NOUN
iajs-3099	79	24	γ(η	γ(η	PROPN
iajs-3099	79	25	)	)	PUNCT
iajs-3099	80	1	1)γ(η	1)γ(η	NUM
iajs-3099	80	2	μ	μ	NUM
iajs-3099	80	3	11	11	NUM
iajs-3099	80	4			ADJ
iajs-3099	80	5			ADJ
iajs-3099	80	6			NOUN
iajs-3099	80	7			NOUN
iajs-3099	80	8			PROPN
iajs-3099	80	9	if	if	SCONJ
iajs-3099	80	10	r=2	r=2	PROPN
iajs-3099	80	11	,	,	PUNCT
iajs-3099	80	12	we	we	PRON
iajs-3099	80	13	have	have	VERB
iajs-3099	80	14	(	(	PUNCT
iajs-3099	80	15	7	7	X
iajs-3099	80	16	)	)	PUNCT
iajs-3099	80	17	η)η(1	η)η(1	NOUN
iajs-3099	80	18	γ(η	γ(η	PROPN
iajs-3099	80	19	)	)	PUNCT
iajs-3099	80	20	2)γ(η	2)γ(η	NUM
iajs-3099	80	21	)	)	PUNCT
iajs-3099	81	1	e(tμ	e(tμ	PROPN
iajs-3099	81	2	2	2	NUM
iajs-3099	81	3	2	2	NUM
iajs-3099	81	4	2	2	NUM
iajs-3099	81	5	2	2	NUM
iajs-3099	81	6			ADJ
iajs-3099	81	7			VERB
iajs-3099	81	8			NUM
iajs-3099	81	9			PROPN
iajs-3099	81	10			PROPN
iajs-3099	81	11	then	then	ADV
iajs-3099	81	12	,	,	PUNCT
iajs-3099	81	13	we	we	PRON
iajs-3099	81	14	can	can	AUX
iajs-3099	81	15	define	define	VERB
iajs-3099	81	16	the	the	DET
iajs-3099	81	17	variance	variance	NOUN
iajs-3099	81	18	of	of	ADP
iajs-3099	81	19	erlang	erlang	NOUN
iajs-3099	81	20	distribution	distribution	NOUN
iajs-3099	81	21	as	as	ADP
iajs-3099	81	22	(	(	PUNCT
iajs-3099	81	23	8)	8)	NUM
iajs-3099	81	24	η	η	NOUN
iajs-3099	81	25	)	)	PUNCT
iajs-3099	81	26	η	η	PROPN
iajs-3099	81	27	η(η	η(η	PROPN
iajs-3099	81	28	η	η	PROPN
iajs-3099	81	29	)	)	PUNCT
iajs-3099	81	30	)	)	PUNCT
iajs-3099	82	1	(	(	PUNCT
iajs-3099	82	2	η)η(1[e(t)])e(t	η)η(1[e(t)])e(t	INTJ
iajs-3099	82	3	222	222	NUM
iajs-3099	82	4	222	222	NUM
iajs-3099	82	5	222	222	NUM
iajs-3099	82	6	222	222	NUM
iajs-3099	82	7			ADJ
iajs-3099	82	8			X
iajs-3099	82	9			NOUN
iajs-3099	82	10			VERB
iajs-3099	82	11	we	we	PRON
iajs-3099	82	12	can	can	AUX
iajs-3099	82	13	obtain	obtain	VERB
iajs-3099	82	14	the	the	DET
iajs-3099	82	15	coefficient	coefficient	NOUN
iajs-3099	82	16	of	of	ADP
iajs-3099	82	17	variation	variation	NOUN
iajs-3099	82	18	(	(	PUNCT
iajs-3099	82	19	c.v	c.v	PROPN
iajs-3099	82	20	)	)	PUNCT
iajs-3099	83	1	[	[	X
iajs-3099	83	2	11	11	NUM
iajs-3099	83	3	]	]	PUNCT
iajs-3099	83	4	of	of	ADP
iajs-3099	83	5	erlang	erlang	NOUN
iajs-3099	83	6	distribution	distribution	NOUN
iajs-3099	83	7	as	as	SCONJ
iajs-3099	83	8	follows	follow	VERB
iajs-3099	83	9	:	:	PUNCT
iajs-3099	83	10	(	(	PUNCT
iajs-3099	83	11	9	9	X
iajs-3099	83	12	)	)	PUNCT
iajs-3099	83	13	η	η	PROPN
iajs-3099	83	14	1	1	NUM
iajs-3099	83	15	η	η	PROPN
iajs-3099	83	16	η	η	PROPN
iajs-3099	83	17	v.c	v.c	PROPN
iajs-3099	83	18	2	2	NUM
iajs-3099	83	19	1	1	NUM
iajs-3099	83	20			NOUN
iajs-3099	83	21			ADJ
iajs-3099	83	22			ADJ
iajs-3099	83	23			NOUN
iajs-3099	83	24			X
iajs-3099	83	25	3	3	NUM
iajs-3099	83	26	.	.	X
iajs-3099	83	27	bayesian	bayesian	NOUN
iajs-3099	83	28	approach	approach	NOUN
iajs-3099	83	29	we	we	PRON
iajs-3099	83	30	used	use	VERB
iajs-3099	83	31	the	the	DET
iajs-3099	83	32	bayesian	bayesian	NOUN
iajs-3099	83	33	approach	approach	NOUN
iajs-3099	83	34	to	to	PART
iajs-3099	83	35	derive	derive	VERB
iajs-3099	83	36	the	the	DET
iajs-3099	83	37	bayes	bayes	NOUN
iajs-3099	83	38	estimators	estimator	NOUN
iajs-3099	83	39	for	for	ADP
iajs-3099	83	40	unknown	unknown	ADJ
iajs-3099	83	41	scale	scale	NOUN
iajs-3099	83	42	parameter	parameter	NOUN
iajs-3099	83	43			PROPN
iajs-3099	83	44	when	when	SCONJ
iajs-3099	83	45	shape	shape	NOUN
iajs-3099	83	46	parameter	parameter	PROPN
iajs-3099	83	47	η	η	PROPN
iajs-3099	83	48	is	be	AUX
iajs-3099	83	49	known	know	VERB
iajs-3099	83	50	for	for	ADP
iajs-3099	83	51	erlang	erlang	NOUN
iajs-3099	83	52	distribution	distribution	NOUN
iajs-3099	83	53	.	.	PUNCT
iajs-3099	84	1	we	we	PRON
iajs-3099	84	2	assumed	assume	VERB
iajs-3099	84	3	four	four	NUM
iajs-3099	84	4	informative	informative	ADJ
iajs-3099	84	5	priors	prior	NOUN
iajs-3099	84	6	for	for	ADP
iajs-3099	84	7	unknown	unknown	ADJ
iajs-3099	84	8	scale	scale	NOUN
iajs-3099	84	9	parameter	parameter	NOUN
iajs-3099	84	10			PROPN
iajs-3099	84	11	which	which	PRON
iajs-3099	84	12	are	be	AUX
iajs-3099	84	13	the	the	DET
iajs-3099	84	14	inverse	inverse	ADJ
iajs-3099	84	15	exponential	exponential	ADJ
iajs-3099	84	16	distribution	distribution	NOUN
iajs-3099	84	17	,	,	PUNCT
iajs-3099	84	18	the	the	DET
iajs-3099	84	19	inverse	inverse	ADJ
iajs-3099	84	20	chi	chi	ADJ
iajs-3099	84	21	-	-	PUNCT
iajs-3099	84	22	square	square	ADJ
iajs-3099	84	23	distribution	distribution	NOUN
iajs-3099	84	24	,	,	PUNCT
iajs-3099	84	25	the	the	DET
iajs-3099	84	26	inverse	inverse	NOUN
iajs-3099	84	27	gamma	gamma	NOUN
iajs-3099	84	28	distribution	distribution	NOUN
iajs-3099	84	29	and	and	CCONJ
iajs-3099	84	30	the	the	DET
iajs-3099	84	31	standard	standard	ADJ
iajs-3099	84	32	levy	levy	NOUN
iajs-3099	84	33	distribution	distribution	NOUN
iajs-3099	84	34	as	as	ADP
iajs-3099	84	35	prior	prior	ADJ
iajs-3099	84	36	distributions	distribution	NOUN
iajs-3099	84	37	.	.	PUNCT
iajs-3099	85	1	so	so	ADV
iajs-3099	85	2	we	we	PRON
iajs-3099	85	3	derived	derive	VERB
iajs-3099	85	4	the	the	DET
iajs-3099	85	5	posterior	posterior	ADJ
iajs-3099	85	6	density	density	NOUN
iajs-3099	85	7	using	use	VERB
iajs-3099	85	8	the	the	DET
iajs-3099	85	9	different	different	ADJ
iajs-3099	85	10	informative	informative	ADJ
iajs-3099	85	11	priors	prior	NOUN
iajs-3099	85	12	as	as	SCONJ
iajs-3099	85	13	follows	follow	VERB
iajs-3099	85	14	.	.	PUNCT
iajs-3099	86	1	3.1	3.1	NUM
iajs-3099	86	2	the	the	DET
iajs-3099	86	3	posterior	posterior	ADJ
iajs-3099	86	4	density	density	NOUN
iajs-3099	86	5	using	use	VERB
iajs-3099	86	6	the	the	DET
iajs-3099	86	7	inverse	inverse	ADJ
iajs-3099	86	8	exponential	exponential	NOUN
iajs-3099	86	9	distribution	distribution	NOUN
iajs-3099	86	10	by	by	ADP
iajs-3099	86	11	assuming	assume	VERB
iajs-3099	86	12	the	the	DET
iajs-3099	86	13	inverse	inverse	ADJ
iajs-3099	86	14	exponential	exponential	ADJ
iajs-3099	86	15	distribution	distribution	NOUN
iajs-3099	86	16	with	with	ADP
iajs-3099	86	17	scale	scale	NOUN
iajs-3099	86	18	parameter	parameter	NOUN
iajs-3099	86	19	(	(	PUNCT
iajs-3099	86	20			PROPN
iajs-3099	86	21	)	)	PUNCT
iajs-3099	87	1	[	[	X
iajs-3099	87	2	12]as	12]as	NUM
iajs-3099	87	3	the	the	DET
iajs-3099	87	4	prior	prior	ADJ
iajs-3099	87	5	distribution	distribution	NOUN
iajs-3099	87	6	for	for	ADP
iajs-3099	87	7	an	an	DET
iajs-3099	87	8	unknown	unknown	ADJ
iajs-3099	87	9	scale	scale	NOUN
iajs-3099	87	10	parameter	parameter	NOUN
iajs-3099	87	11			PROPN
iajs-3099	87	12	when	when	SCONJ
iajs-3099	87	13	shape	shape	NOUN
iajs-3099	87	14	parameter	parameter	PROPN
iajs-3099	87	15	η	η	PROPN
iajs-3099	87	16	is	be	AUX
iajs-3099	87	17	known	know	VERB
iajs-3099	87	18	with	with	ADP
iajs-3099	87	19	the	the	DET
iajs-3099	87	20	probability	probability	NOUN
iajs-3099	87	21	density	density	NOUN
iajs-3099	87	22	function	function	NOUN
iajs-3099	87	23	(	(	PUNCT
iajs-3099	87	24	pdf	pdf	NOUN
iajs-3099	87	25	)	)	PUNCT
iajs-3099	87	26	given	give	VERB
iajs-3099	87	27	by	by	ADP
iajs-3099	87	28	(	(	PUNCT
iajs-3099	87	29	10	10	NUM
iajs-3099	87	30	)	)	PUNCT
iajs-3099	87	31	0	0	NUM
iajs-3099	87	32	,	,	PUNCT
iajs-3099	87	33	0	0	NUM
iajs-3099	87	34	,	,	PUNCT
iajs-3099	87	35	)	)	PUNCT
iajs-3099	87	36	exp	exp	NOUN
iajs-3099	87	37	(	(	PUNCT
iajs-3099	87	38	)	)	PUNCT
iajs-3099	87	39	;	;	PUNCT
iajs-3099	87	40	(	(	PUNCT
iajs-3099	87	41	h	h	NOUN
iajs-3099	87	42	21	21	NUM
iajs-3099	87	43			NOUN
iajs-3099	87	44			ADV
iajs-3099	87	45			ADJ
iajs-3099	87	46			X
iajs-3099	87	47			ADJ
iajs-3099	87	48			X
iajs-3099	87	49			PROPN
iajs-3099	87	50	ihjpas	ihjpa	VERB
iajs-3099	87	51	.	.	PUNCT
iajs-3099	88	1	36	36	NUM
iajs-3099	88	2	(	(	PUNCT
iajs-3099	88	3	3	3	NUM
iajs-3099	88	4	)	)	PUNCT
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iajs-3099	89	5	)	)	PUNCT
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iajs-3099	89	8	)	)	PUNCT
iajs-3099	89	9	η	η	PROPN
iajs-3099	89	10	,	,	PUNCT
iajs-3099	89	11	g(t	g(t	PROPN
iajs-3099	89	12	,	,	PUNCT
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iajs-3099	89	14	t	t	PROPN
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iajs-3099	89	18	i	i	PROPN
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iajs-3099	89	24	1i	1i	NOUN
iajs-3099	89	25	1η	1η	NOUN
iajs-3099	89	26	i	i	PRON
iajs-3099	89	27			PROPN
iajs-3099	89	28			PROPN
iajs-3099	89	29			X
iajs-3099	89	30			NUM
iajs-3099	89	31			NUM
iajs-3099	89	32			PROPN
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iajs-3099	89	38			ADJ
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iajs-3099	89	41	sample	sample	NOUN
iajs-3099	89	42	observations	observation	NOUN
iajs-3099	89	43	)	)	PUNCT
iajs-3099	90	1	t	t	PROPN
iajs-3099	90	2	,	,	PUNCT
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iajs-3099	90	6	n21	n21	PROPN
iajs-3099	91	1	[	[	X
iajs-3099	91	2	11	11	NUM
iajs-3099	91	3	]	]	PUNCT
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iajs-3099	91	8	:	:	PUNCT
iajs-3099	91	9	(	(	PUNCT
iajs-3099	91	10	12	12	NUM
iajs-3099	91	11	)	)	PUNCT
iajs-3099	91	12	)	)	PUNCT
iajs-3099	92	1	d	d	NOUN
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iajs-3099	92	3	(	(	PUNCT
iajs-3099	92	4	ω)h	ω)h	PROPN
iajs-3099	92	5	t	t	PROPN
iajs-3099	92	6	;	;	PUNCT
iajs-3099	92	7	,	,	PUNCT
iajs-3099	92	8	l(η	l(η	PROPN
iajs-3099	92	9	)	)	PUNCT
iajs-3099	92	10	;	;	PUNCT
iajs-3099	92	11	(	(	PUNCT
iajs-3099	92	12	ω)h	ω)h	X
iajs-3099	92	13	t	t	PROPN
iajs-3099	92	14	;	;	PUNCT
iajs-3099	92	15	,	,	PUNCT
iajs-3099	92	16	l(η	l(η	PROPN
iajs-3099	92	17	)	)	PUNCT
iajs-3099	93	1	t\	t\	PROPN
iajs-3099	93	2	(	(	PUNCT
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iajs-3099	93	4	1	1	NUM
iajs-3099	93	5	1	1	NUM
iajs-3099	93	6	1	1	NUM
iajs-3099	93	7			PROPN
iajs-3099	93	8			PROPN
iajs-3099	93	9			ADJ
iajs-3099	93	10			PROPN
iajs-3099	93	11			PUNCT
iajs-3099	93	12			NOUN
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iajs-3099	93	17	10	10	NUM
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iajs-3099	93	26	(	(	PUNCT
iajs-3099	93	27	12	12	NUM
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iajs-3099	93	43	(	(	PUNCT
iajs-3099	93	44	13	13	NUM
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iajs-3099	93	46	)	)	PUNCT
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iajs-3099	94	5	(	(	PUNCT
iajs-3099	94	6	ω	ω	NOUN
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iajs-3099	94	8	[	[	PUNCT
iajs-3099	94	9	)	)	PUNCT
iajs-3099	94	10	t	t	PROPN
iajs-3099	94	11	exp(tπ	exp(tπ	NOUN
iajs-3099	94	12	)	)	PUNCT
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iajs-3099	95	1	[	[	X
iajs-3099	95	2	(	(	PUNCT
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iajs-3099	95	5	ω	ω	NUM
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iajs-3099	95	7	(	(	PUNCT
iajs-3099	95	8	ω	ω	NOUN
iajs-3099	95	9	]	]	X
iajs-3099	95	10	[	[	PUNCT
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iajs-3099	95	13	exp(tπ	exp(tπ	NOUN
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iajs-3099	97	4			NUM
iajs-3099	97	5			NOUN
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iajs-3099	98	52			ADJ
iajs-3099	98	53			ADJ
iajs-3099	98	54			ADJ
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iajs-3099	98	60			PROPN
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iajs-3099	98	64			PROPN
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iajs-3099	98	69			X
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iajs-3099	98	71			X
iajs-3099	99	1			PRON
iajs-3099	99	2			ADJ
iajs-3099	99	3			VERB
iajs-3099	99	4			NUM
iajs-3099	99	5			PROPN
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iajs-3099	99	7			NOUN
iajs-3099	99	8			NOUN
iajs-3099	99	9			PRON
iajs-3099	99	10			ADJ
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iajs-3099	99	12	multiplying	multiply	VERB
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iajs-3099	99	14	integral	integral	ADJ
iajs-3099	99	15	in	in	ADP
iajs-3099	99	16	equation	equation	NOUN
iajs-3099	99	17	(	(	PUNCT
iajs-3099	99	18	14	14	NUM
iajs-3099	99	19	)	)	PUNCT
iajs-3099	99	20	by	by	ADP
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iajs-3099	99	22	following	follow	VERB
iajs-3099	99	23	quantity	quantity	NOUN
iajs-3099	99	24	)	)	PUNCT
iajs-3099	99	25	ω)t	ω)t	NOUN
iajs-3099	99	26	(	(	PUNCT
iajs-3099	99	27	)	)	PUNCT
iajs-3099	99	28	γ	γ	X
iajs-3099	99	29	(	(	PUNCT
iajs-3099	99	30	(	(	PUNCT
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iajs-3099	99	32	γ	γ	X
iajs-3099	99	33	(	(	PUNCT
iajs-3099	99	34	ω)t	ω)t	VERB
iajs-3099	99	35	(	(	PUNCT
iajs-3099	99	36	(	(	PUNCT
iajs-3099	99	37	1)(nη	1)(nη	NUM
iajs-3099	99	38	1)(nη	1)(nη	NUM
iajs-3099	99	39	1)nη	1)nη	NUM
iajs-3099	99	40	1)(nη	1)(nη	NUM
iajs-3099	99	41	i	i	NOUN
iajs-3099	99	42	n	n	VERB
iajs-3099	99	43	1i	1i	NOUN
iajs-3099	100	1	i	i	PRON
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iajs-3099	100	4			ADV
iajs-3099	100	5			PROPN
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iajs-3099	102	9	)	)	PUNCT
iajs-3099	102	10	ω)t	ω)t	NOUN
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iajs-3099	102	16	γ	γ	X
iajs-3099	102	17	(	(	PUNCT
iajs-3099	102	18	ω)t	ω)t	NOUN
iajs-3099	102	19	(	(	PUNCT
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iajs-3099	102	21	t\	t\	PROPN
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iajs-3099	103	7	-	-	PUNCT
iajs-3099	103	8	i	i	PRON
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iajs-3099	103	17			NOUN
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iajs-3099	103	40	1i	1i	NUM
iajs-3099	103	41	1)1)((nη	1)1)((nη	NOUN
iajs-3099	103	42	-	-	PUNCT
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iajs-3099	104	4	,	,	PUNCT
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iajs-3099	104	6			VERB
iajs-3099	104	7			NUM
iajs-3099	104	8			NOUN
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iajs-3099	104	11			PRON
iajs-3099	104	12			ADV
iajs-3099	104	13			ADV
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iajs-3099	104	16			PROPN
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iajs-3099	104	18			PROPN
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iajs-3099	105	16	,	,	PUNCT
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iajs-3099	105	21	,	,	PUNCT
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iajs-3099	105	24	(	(	PUNCT
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iajs-3099	105	27	(	(	PUNCT
iajs-3099	105	28	γ	γ	X
iajs-3099	105	29	(	(	PUNCT
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iajs-3099	105	31	(	(	PUNCT
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iajs-3099	106	9	i	i	PRON
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iajs-3099	106	11	1i	1i	NOUN
iajs-3099	106	12	1	1	NUM
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iajs-3099	106	21			VERB
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iajs-3099	107	12	(	(	PUNCT
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iajs-3099	108	44	1i	1i	NUM
iajs-3099	108	45			NOUN
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iajs-3099	108	47			NUM
iajs-3099	108	48			PROPN
iajs-3099	108	49			NOUN
iajs-3099	108	50			PROPN
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iajs-3099	110	9			PROPN
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iajs-3099	110	12	parameter	parameter	PROPN
iajs-3099	110	13	η	η	PROPN
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iajs-3099	110	15	known	know	VERB
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iajs-3099	110	23	)	)	PUNCT
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iajs-3099	110	37	(	(	PUNCT
iajs-3099	110	38	γ(b	γ(b	PROPN
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iajs-3099	110	41	α	α	NOUN
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iajs-3099	110	43	β	β	PROPN
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iajs-3099	110	45	α	α	X
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iajs-3099	110	54			PROPN
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iajs-3099	110	64	(	(	PUNCT
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iajs-3099	110	71	)	)	PUNCT
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iajs-3099	110	77	density	density	NOUN
iajs-3099	110	78	function	function	NOUN
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iajs-3099	110	80	the	the	DET
iajs-3099	110	81	scale	scale	NOUN
iajs-3099	110	82	parameter	parameter	PROPN
iajs-3099	110	83	,	,	PUNCT
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iajs-3099	110	89	]	]	PUNCT
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iajs-3099	111	7	)	)	PUNCT
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iajs-3099	111	10	[	[	PUNCT
iajs-3099	111	11	)	)	PUNCT
iajs-3099	111	12	t	t	PROPN
iajs-3099	111	13	exp(tπ	exp(tπ	NOUN
iajs-3099	111	14	)	)	PUNCT
iajs-3099	111	15	γ(η	γ(η	NOUN
iajs-3099	111	16	)	)	PUNCT
iajs-3099	111	17	1	1	NUM
iajs-3099	112	1	[	[	X
iajs-3099	112	2	(	(	PUNCT
iajs-3099	112	3	]	]	PUNCT
iajs-3099	112	4	)	)	PUNCT
iajs-3099	112	5	a	a	DET
iajs-3099	112	6	exp	exp	NOUN
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iajs-3099	112	8	γ(b	γ(b	PROPN
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iajs-3099	112	14	t	t	PROPN
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iajs-3099	112	17	γ(η	γ(η	NOUN
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iajs-3099	114	21			ADJ
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iajs-3099	114	25			ADJ
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iajs-3099	115	1			NOUN
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iajs-3099	115	3			PUNCT
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iajs-3099	116	2	a)t	a)t	ADV
iajs-3099	116	3	(	(	PUNCT
iajs-3099	116	4	1	1	NUM
iajs-3099	116	5	exp	exp	NOUN
iajs-3099	116	6	(	(	PUNCT
iajs-3099	116	7	)	)	PUNCT
iajs-3099	116	8	a)t	a)t	ADV
iajs-3099	116	9	(	(	PUNCT
iajs-3099	116	10	1	1	NUM
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iajs-3099	116	12	(	(	PUNCT
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iajs-3099	116	16	(	(	PUNCT
iajs-3099	116	17	1	1	NUM
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iajs-3099	116	21	a)t	a)t	ADV
iajs-3099	116	22	(	(	PUNCT
iajs-3099	116	23	1	1	NUM
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iajs-3099	116	25	(	(	PUNCT
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iajs-3099	117	3	1i	1i	NUM
iajs-3099	117	4	1)b)((nηi	1)b)((nηi	NUM
iajs-3099	117	5	n	n	NUM
iajs-3099	117	6	1i	1i	NOUN
iajs-3099	117	7	1)(b	1)(b	NUM
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iajs-3099	117	10	i	i	PRON
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iajs-3099	117	13	1)(b	1)(b	NUM
iajs-3099	117	14	-	-	PUNCT
iajs-3099	117	15	nη2	nη2	NOUN
iajs-3099	117	16	1)b)((nη	1)b)((nη	NUM
iajs-3099	117	17			ADJ
iajs-3099	117	18			ADJ
iajs-3099	117	19			ADJ
iajs-3099	117	20			ADJ
iajs-3099	117	21			ADJ
iajs-3099	117	22			ADJ
iajs-3099	117	23			ADJ
iajs-3099	117	24			ADJ
iajs-3099	117	25			ADJ
iajs-3099	117	26			PROPN
iajs-3099	117	27			PROPN
iajs-3099	117	28			NOUN
iajs-3099	117	29			PROPN
iajs-3099	117	30			PROPN
iajs-3099	117	31			PROPN
iajs-3099	117	32			PROPN
iajs-3099	117	33			NUM
iajs-3099	117	34			NUM
iajs-3099	117	35			X
iajs-3099	117	36			NUM
iajs-3099	117	37			X
iajs-3099	118	1			NUM
iajs-3099	118	2			VERB
iajs-3099	118	3			NUM
iajs-3099	119	1			PROPN
iajs-3099	119	2			PROPN
iajs-3099	119	3			PROPN
iajs-3099	119	4			ADV
iajs-3099	119	5			VERB
iajs-3099	119	6			PROPN
iajs-3099	119	7			PROPN
iajs-3099	119	8			ADJ
iajs-3099	119	9			NOUN
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iajs-3099	119	11	multiplying	multiply	VERB
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iajs-3099	119	13	integral	integral	ADJ
iajs-3099	119	14	in	in	ADP
iajs-3099	119	15	equation	equation	NOUN
iajs-3099	119	16	(	(	PUNCT
iajs-3099	119	17	19	19	NUM
iajs-3099	119	18	)	)	PUNCT
iajs-3099	119	19	by	by	ADP
iajs-3099	119	20	the	the	DET
iajs-3099	119	21	quantity	quantity	NOUN
iajs-3099	119	22	which	which	PRON
iajs-3099	119	23	equals	equal	VERB
iajs-3099	119	24	to	to	ADP
iajs-3099	119	25	)	)	PUNCT
iajs-3099	119	26	a)t	a)t	ADV
iajs-3099	119	27	(	(	PUNCT
iajs-3099	119	28	)	)	PUNCT
iajs-3099	119	29	γ	γ	X
iajs-3099	119	30	(	(	PUNCT
iajs-3099	119	31	(	(	PUNCT
iajs-3099	119	32	)	)	PUNCT
iajs-3099	119	33	γ	γ	X
iajs-3099	119	34	(	(	PUNCT
iajs-3099	119	35	a)t	a)t	ADV
iajs-3099	119	36	(	(	PUNCT
iajs-3099	119	37	(	(	PUNCT
iajs-3099	119	38	b)(nη	b)(nη	NOUN
iajs-3099	119	39	bnη	bnη	PROPN
iajs-3099	119	40	b)nη	b)nη	PROPN
iajs-3099	119	41	b)(nη	b)(nη	NOUN
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iajs-3099	119	44	1i	1i	NOUN
iajs-3099	120	1	i	i	PRON
iajs-3099	120	2	n	n	VERB
iajs-3099	120	3	1i	1i	NUM
iajs-3099	120	4			ADV
iajs-3099	120	5			PROPN
iajs-3099	120	6			VERB
iajs-3099	120	7			PUNCT
iajs-3099	120	8			NOUN
iajs-3099	120	9			NOUN
iajs-3099	120	10			PRON
iajs-3099	120	11			NOUN
iajs-3099	120	12	,	,	PUNCT
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iajs-3099	120	14	)	)	PUNCT
iajs-3099	120	15	γ	γ	X
iajs-3099	120	16	(	(	PUNCT
iajs-3099	120	17	.	.	PUNCT
iajs-3099	121	1	is	be	AUX
iajs-3099	121	2	a	a	DET
iajs-3099	121	3	gamma	gamma	NOUN
iajs-3099	121	4	function	function	NOUN
iajs-3099	121	5	.after	.after	PUNCT
iajs-3099	122	1	some	some	DET
iajs-3099	122	2	simplification	simplification	NOUN
iajs-3099	122	3	,	,	PUNCT
iajs-3099	122	4	it	it	PRON
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iajs-3099	122	6	(	(	PUNCT
iajs-3099	122	7	20	20	NUM
iajs-3099	122	8	)	)	PUNCT
iajs-3099	122	9	a)t	a)t	ADV
iajs-3099	122	10	(	(	PUNCT
iajs-3099	122	11	1	1	NUM
iajs-3099	122	12	exp	exp	NOUN
iajs-3099	122	13	(	(	PUNCT
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iajs-3099	122	16	(	(	PUNCT
iajs-3099	122	17	a)t	a)t	ADV
iajs-3099	122	18	(	(	PUNCT
iajs-3099	122	19	)	)	PUNCT
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iajs-3099	122	21	\	\	PUNCT
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iajs-3099	123	3	i	i	PRON
iajs-3099	123	4	n	n	PROPN
iajs-3099	123	5	1i	1i	NOUN
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iajs-3099	123	11	2	2	NUM
iajs-3099	123	12	k2(t	k2(t	PROPN
iajs-3099	123	13	,	,	PUNCT
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iajs-3099	123	15	b)(nη	b)(nη	NOUN
iajs-3099	123	16			NOUN
iajs-3099	123	17			NOUN
iajs-3099	123	18			PROPN
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iajs-3099	123	21			ADV
iajs-3099	123	22			VERB
iajs-3099	123	23			ADJ
iajs-3099	123	24			ADJ
iajs-3099	123	25			ADJ
iajs-3099	123	26			PROPN
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iajs-3099	123	28	1a)dt	1a)dt	NUM
iajs-3099	123	29	(	(	PUNCT
iajs-3099	123	30	1	1	NUM
iajs-3099	123	31	exp	exp	NOUN
iajs-3099	123	32	(	(	PUNCT
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iajs-3099	123	34	(	(	PUNCT
iajs-3099	123	35	a)t	a)t	ADV
iajs-3099	123	36	(	(	PUNCT
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iajs-3099	123	39	n	n	VERB
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iajs-3099	123	41	1)b)((nη	1)b)((nη	NUM
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iajs-3099	123	45	1i	1i	NOUN
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iajs-3099	124	6			VERB
iajs-3099	124	7			NUM
iajs-3099	124	8			NOUN
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iajs-3099	124	10			VERB
iajs-3099	124	11			PRON
iajs-3099	124	12			ADV
iajs-3099	124	13			ADV
iajs-3099	124	14			PUNCT
iajs-3099	124	15			PROPN
iajs-3099	124	16			PROPN
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iajs-3099	124	18			PROPN
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iajs-3099	124	20	the	the	DET
iajs-3099	124	21	integral	integral	ADJ
iajs-3099	124	22	of	of	ADP
iajs-3099	124	23	the	the	DET
iajs-3099	124	24	pdf	pdf	NOUN
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iajs-3099	124	27	gamma	gamma	NOUN
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iajs-3099	125	6			PROPN
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iajs-3099	125	9	gamma	gamma	NOUN
iajs-3099	125	10	distribution	distribution	NOUN
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iajs-3099	125	14	)	)	PUNCT
iajs-3099	125	15	0ba	0ba	ADJ
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iajs-3099	125	28	(	(	PUNCT
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iajs-3099	126	21			VERB
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iajs-3099	126	33	)	)	PUNCT
iajs-3099	126	34	t	t	NOUN
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iajs-3099	127	6			PROPN
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iajs-3099	127	9	mean	mean	NOUN
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iajs-3099	128	5	i	i	NOUN
iajs-3099	128	6	n	n	PROPN
iajs-3099	128	7	1i	1i	NUM
iajs-3099	128	8			PUNCT
iajs-3099	128	9			NOUN
iajs-3099	128	10			NUM
iajs-3099	128	11			ADJ
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iajs-3099	128	13	posterior	posterior	ADJ
iajs-3099	128	14	variance	variance	NOUN
iajs-3099	128	15	is	be	AUX
iajs-3099	128	16	2)-bnη(1)-b((nη	2)-bnη(1)-b((nη	NOUN
iajs-3099	128	17	a)t	a)t	X
iajs-3099	128	18	(	(	PUNCT
iajs-3099	128	19	)	)	PUNCT
iajs-3099	128	20	t	t	PROPN
iajs-3099	128	21	\	\	PROPN
iajs-3099	128	22	var	var	NOUN
iajs-3099	128	23	(	(	PUNCT
iajs-3099	128	24	2	2	NUM
iajs-3099	128	25	2	2	NUM
iajs-3099	128	26	i	i	NOUN
iajs-3099	128	27	n	n	VERB
iajs-3099	128	28	1i	1i	NUM
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iajs-3099	128	30			NOUN
iajs-3099	128	31			PROPN
iajs-3099	128	32			PROPN
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iajs-3099	129	1	ihjpas	ihjpas	PROPN
iajs-3099	129	2	.	.	PUNCT
iajs-3099	130	1	36	36	NUM
iajs-3099	130	2	(	(	PUNCT
iajs-3099	130	3	3	3	NUM
iajs-3099	130	4	)	)	PUNCT
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iajs-3099	130	7	3.3	3.3	NUM
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iajs-3099	130	11	using	use	VERB
iajs-3099	130	12	the	the	DET
iajs-3099	130	13	inverse	inverse	ADJ
iajs-3099	130	14	chi	chi	ADJ
iajs-3099	130	15	-	-	PUNCT
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iajs-3099	130	17	distribution	distribution	NOUN
iajs-3099	130	18	by	by	ADP
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iajs-3099	130	20	the	the	DET
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iajs-3099	130	22	chi	chi	ADJ
iajs-3099	130	23	-	-	PUNCT
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iajs-3099	130	25	distribution[14	distribution[14	NOUN
iajs-3099	130	26	]	]	PUNCT
iajs-3099	130	27	as	as	ADP
iajs-3099	130	28	prior	prior	ADJ
iajs-3099	130	29	distribution	distribution	NOUN
iajs-3099	130	30	for	for	ADP
iajs-3099	130	31	unknown	unknown	ADJ
iajs-3099	130	32	scale	scale	NOUN
iajs-3099	130	33	parameter	parameter	PROPN
iajs-3099	130	34	when	when	SCONJ
iajs-3099	130	35	shape	shape	NOUN
iajs-3099	130	36	parameter	parameter	PROPN
iajs-3099	130	37	η	η	PROPN
iajs-3099	130	38	is	be	AUX
iajs-3099	130	39	known	know	VERB
iajs-3099	130	40	with	with	ADP
iajs-3099	130	41	the	the	DET
iajs-3099	130	42	probability	probability	NOUN
iajs-3099	130	43	density	density	NOUN
iajs-3099	130	44	function	function	NOUN
iajs-3099	130	45	(	(	PUNCT
iajs-3099	130	46	pdf	pdf	NOUN
iajs-3099	130	47	)	)	PUNCT
iajs-3099	130	48	given	give	VERB
iajs-3099	130	49	by	by	ADP
iajs-3099	130	50	(	(	PUNCT
iajs-3099	130	51	22	22	NUM
iajs-3099	130	52	)	)	PUNCT
iajs-3099	130	53	0	0	NUM
iajs-3099	131	1	υ	υ	NOUN
iajs-3099	131	2	,	,	PUNCT
iajs-3099	131	3	0	0	NUM
iajs-3099	131	4	,	,	PUNCT
iajs-3099	131	5	)	)	PUNCT
iajs-3099	131	6	2	2	NUM
iajs-3099	131	7	υ	υ	PRON
iajs-3099	131	8	exp	exp	NOUN
iajs-3099	131	9	(	(	PUNCT
iajs-3099	131	10	2)γ(υ/	2)γ(υ/	NUM
iajs-3099	131	11	/2)(υ	/2)(υ	SYM
iajs-3099	131	12	α	α	NOUN
iajs-3099	131	13	)	)	PUNCT
iajs-3099	131	14	;	;	PUNCT
iajs-3099	131	15	(	(	PUNCT
iajs-3099	131	16	υh	υh	X
iajs-3099	131	17	)	)	PUNCT
iajs-3099	131	18	2	2	NUM
iajs-3099	131	19	υ	υ	NOUN
iajs-3099	131	20	(	(	PUNCT
iajs-3099	131	21	12	12	NUM
iajs-3099	131	22	υ	υ	NOUN
iajs-3099	131	23	3	3	NUM
iajs-3099	131	24			NUM
iajs-3099	131	25			NOUN
iajs-3099	131	26			ADJ
iajs-3099	131	27			PROPN
iajs-3099	131	28			PROPN
iajs-3099	131	29	after	after	ADP
iajs-3099	131	30	substituting	substitute	VERB
iajs-3099	131	31	equation	equation	NOUN
iajs-3099	131	32	(	(	PUNCT
iajs-3099	131	33	22	22	NUM
iajs-3099	131	34	)	)	PUNCT
iajs-3099	131	35	and	and	CCONJ
iajs-3099	131	36	equation	equation	NOUN
iajs-3099	131	37	(	(	PUNCT
iajs-3099	131	38	11	11	NUM
iajs-3099	131	39	)	)	PUNCT
iajs-3099	131	40	in	in	ADP
iajs-3099	131	41	equation	equation	NOUN
iajs-3099	131	42	(	(	PUNCT
iajs-3099	131	43	12	12	NUM
iajs-3099	131	44	)	)	PUNCT
iajs-3099	131	45	,	,	PUNCT
iajs-3099	131	46	yields	yield	VERB
iajs-3099	131	47	the	the	DET
iajs-3099	131	48	posterior	posterior	ADJ
iajs-3099	131	49	probability	probability	NOUN
iajs-3099	131	50	density	density	NOUN
iajs-3099	131	51	function	function	NOUN
iajs-3099	131	52	of	of	ADP
iajs-3099	131	53	the	the	DET
iajs-3099	131	54	scale	scale	NOUN
iajs-3099	131	55	parameter	parameter	PROPN
iajs-3099	131	56	,	,	PUNCT
iajs-3099	131	57	we	we	PRON
iajs-3099	131	58	have	have	VERB
iajs-3099	131	59	(	(	PUNCT
iajs-3099	131	60	23	23	NUM
iajs-3099	131	61	)	)	PUNCT
iajs-3099	131	62	]	]	PUNCT
iajs-3099	132	1	d	d	X
iajs-3099	132	2	)	)	PUNCT
iajs-3099	132	3	2	2	NUM
iajs-3099	132	4	υ	υ	NOUN
iajs-3099	132	5	exp	exp	NOUN
iajs-3099	132	6	(	(	PUNCT
iajs-3099	132	7	2)γ(υ/	2)γ(υ/	NUM
iajs-3099	132	8	/2)(υ	/2)(υ	SYM
iajs-3099	132	9	]	]	X
iajs-3099	132	10	[	[	PUNCT
iajs-3099	132	11	)	)	PUNCT
iajs-3099	132	12	t	t	PROPN
iajs-3099	132	13	exp(tπ	exp(tπ	NOUN
iajs-3099	132	14	)	)	PUNCT
iajs-3099	132	15	γ(η	γ(η	NOUN
iajs-3099	132	16	)	)	PUNCT
iajs-3099	132	17	1	1	NUM
iajs-3099	133	1	[	[	X
iajs-3099	133	2	(	(	PUNCT
iajs-3099	133	3	]	]	SYM
iajs-3099	133	4	)	)	PUNCT
iajs-3099	133	5	2	2	NUM
iajs-3099	133	6	υ	υ	PRON
iajs-3099	133	7	exp	exp	NOUN
iajs-3099	133	8	(	(	PUNCT
iajs-3099	133	9	2)γ(υ/	2)γ(υ/	NUM
iajs-3099	133	10	/2)(υ	/2)(υ	SYM
iajs-3099	133	11	]	]	X
iajs-3099	133	12	[	[	PUNCT
iajs-3099	133	13	)	)	PUNCT
iajs-3099	133	14	t	t	PROPN
iajs-3099	133	15	exp(tπ	exp(tπ	NOUN
iajs-3099	133	16	)	)	PUNCT
iajs-3099	133	17	γ(η	γ(η	NOUN
iajs-3099	133	18	)	)	PUNCT
iajs-3099	133	19	1	1	NUM
iajs-3099	134	1	[	[	X
iajs-3099	134	2	(	(	PUNCT
iajs-3099	134	3	)	)	PUNCT
iajs-3099	134	4	t\	t\	PROPN
iajs-3099	134	5	(	(	PUNCT
iajs-3099	134	6	p	p	NOUN
iajs-3099	134	7	)	)	PUNCT
iajs-3099	134	8	2	2	NUM
iajs-3099	134	9	υ	υ	NOUN
iajs-3099	134	10	(	(	PUNCT
iajs-3099	134	11	12	12	NUM
iajs-3099	134	12	υ	υ	NOUN
iajs-3099	134	13	i	i	PRON
iajs-3099	134	14	n	n	VERB
iajs-3099	134	15	1i	1i	NUM
iajs-3099	134	16	n	n	CCONJ
iajs-3099	134	17	1i	1i	NUM
iajs-3099	134	18	nη	nη	NOUN
iajs-3099	134	19	-	-	PUNCT
iajs-3099	134	20	n	n	NOUN
iajs-3099	134	21	0	0	NUM
iajs-3099	134	22	)	)	PUNCT
iajs-3099	134	23	2	2	NUM
iajs-3099	134	24	υ	υ	NOUN
iajs-3099	134	25	(	(	PUNCT
iajs-3099	134	26	12	12	NUM
iajs-3099	134	27	υ	υ	NOUN
iajs-3099	134	28	i	i	PRON
iajs-3099	134	29	n	n	VERB
iajs-3099	134	30	1i	1i	NUM
iajs-3099	134	31	n	n	CCONJ
iajs-3099	134	32	1i	1i	NUM
iajs-3099	134	33	nη	nη	NOUN
iajs-3099	134	34	-	-	PUNCT
iajs-3099	134	35	n	n	CCONJ
iajs-3099	134	36	3	3	NUM
iajs-3099	134	37	1η	1η	NOUN
iajs-3099	134	38	i	i	PRON
iajs-3099	134	39	1η	1η	VERB
iajs-3099	134	40	i	i	PRON
iajs-3099	134	41			ADJ
iajs-3099	134	42			ADJ
iajs-3099	134	43			ADJ
iajs-3099	134	44			ADJ
iajs-3099	134	45			ADJ
iajs-3099	134	46			ADJ
iajs-3099	134	47			ADJ
iajs-3099	134	48			ADJ
iajs-3099	134	49			ADJ
iajs-3099	134	50			ADJ
iajs-3099	134	51			ADJ
iajs-3099	134	52			ADP
iajs-3099	134	53			SYM
iajs-3099	134	54			NUM
iajs-3099	134	55			NUM
iajs-3099	134	56			NUM
iajs-3099	134	57			NOUN
iajs-3099	134	58			VERB
iajs-3099	134	59			NUM
iajs-3099	134	60			NOUN
iajs-3099	135	1			NUM
iajs-3099	135	2			NOUN
iajs-3099	135	3			X
iajs-3099	136	1			PUNCT
iajs-3099	136	2			X
iajs-3099	136	3			PROPN
iajs-3099	136	4			PROPN
iajs-3099	136	5	(	(	PUNCT
iajs-3099	136	6	24	24	NUM
iajs-3099	136	7	)	)	PUNCT
iajs-3099	136	8	)	)	PUNCT
iajs-3099	137	1	d	d	X
iajs-3099	137	2	)	)	PUNCT
iajs-3099	137	3	2	2	NUM
iajs-3099	137	4	υ	υ	NOUN
iajs-3099	137	5	t	t	PROPN
iajs-3099	137	6	(	(	PUNCT
iajs-3099	137	7	1	1	NUM
iajs-3099	137	8	exp	exp	NOUN
iajs-3099	137	9	(	(	PUNCT
iajs-3099	137	10	)	)	PUNCT
iajs-3099	137	11	)	)	PUNCT
iajs-3099	137	12	2	2	NUM
iajs-3099	137	13	υ	υ	PRON
iajs-3099	137	14	t	t	PROPN
iajs-3099	137	15	(	(	PUNCT
iajs-3099	137	16	1	1	NUM
iajs-3099	137	17	exp	exp	NOUN
iajs-3099	137	18	(	(	PUNCT
iajs-3099	137	19	)	)	PUNCT
iajs-3099	137	20	t\	t\	PROPN
iajs-3099	137	21	(	(	PUNCT
iajs-3099	137	22	p	p	X
iajs-3099	137	23	i	i	PRON
iajs-3099	137	24	n	n	PROPN
iajs-3099	137	25	1i	1i	NUM
iajs-3099	137	26	1	1	NUM
iajs-3099	137	27	)	)	PUNCT
iajs-3099	137	28	)	)	PUNCT
iajs-3099	137	29	2	2	NUM
iajs-3099	137	30	υ	υ	NOUN
iajs-3099	137	31	(	(	PUNCT
iajs-3099	137	32	(	(	PUNCT
iajs-3099	137	33	nη0	nη0	INTJ
iajs-3099	137	34	i	i	PRON
iajs-3099	137	35	n	n	VERB
iajs-3099	137	36	1i	1i	NUM
iajs-3099	137	37	1	1	NUM
iajs-3099	137	38	)	)	PUNCT
iajs-3099	137	39	)	)	PUNCT
iajs-3099	137	40	2	2	NUM
iajs-3099	137	41	υ	υ	NOUN
iajs-3099	137	42	(	(	PUNCT
iajs-3099	137	43	(	(	PUNCT
iajs-3099	137	44	nη3	nη3	NOUN
iajs-3099	137	45			ADJ
iajs-3099	137	46			ADJ
iajs-3099	137	47			ADJ
iajs-3099	137	48			ADJ
iajs-3099	137	49			ADJ
iajs-3099	137	50			PROPN
iajs-3099	137	51			PROPN
iajs-3099	137	52			PROPN
iajs-3099	137	53			PROPN
iajs-3099	137	54			NUM
iajs-3099	137	55			NUM
iajs-3099	137	56			X
iajs-3099	137	57			NUM
iajs-3099	137	58			ADJ
iajs-3099	137	59			NUM
iajs-3099	137	60			PROPN
iajs-3099	137	61			PROPN
iajs-3099	137	62	by	by	ADP
iajs-3099	137	63	multiplying	multiply	VERB
iajs-3099	137	64	the	the	DET
iajs-3099	137	65	integral	integral	ADJ
iajs-3099	137	66	in	in	ADP
iajs-3099	137	67	equation	equation	NOUN
iajs-3099	137	68	(	(	PUNCT
iajs-3099	137	69	24	24	NUM
iajs-3099	137	70	)	)	PUNCT
iajs-3099	137	71	by	by	ADP
iajs-3099	137	72	the	the	DET
iajs-3099	137	73	quantity	quantity	NOUN
iajs-3099	137	74	which	which	PRON
iajs-3099	137	75	equals	equal	VERB
iajs-3099	137	76	to	to	ADP
iajs-3099	137	77	)	)	PUNCT
iajs-3099	137	78	)	)	PUNCT
iajs-3099	137	79	2	2	NUM
iajs-3099	137	80	t	t	PROPN
iajs-3099	137	81	(	(	PUNCT
iajs-3099	137	82	)	)	PUNCT
iajs-3099	137	83	γ	γ	X
iajs-3099	137	84	(	(	PUNCT
iajs-3099	137	85	(	(	PUNCT
iajs-3099	137	86	)	)	PUNCT
iajs-3099	137	87	γ	γ	X
iajs-3099	137	88	(	(	PUNCT
iajs-3099	137	89	)	)	PUNCT
iajs-3099	137	90	2	2	NUM
iajs-3099	137	91	t	t	PROPN
iajs-3099	137	92	(	(	PUNCT
iajs-3099	137	93	(	(	PUNCT
iajs-3099	137	94	)	)	PUNCT
iajs-3099	137	95	2	2	NUM
iajs-3099	137	96	(	(	PUNCT
iajs-3099	137	97	nη	nη	NOUN
iajs-3099	137	98	i	i	PRON
iajs-3099	137	99	n	n	VERB
iajs-3099	137	100	1i	1i	NOUN
iajs-3099	137	101	i	i	PRON
iajs-3099	137	102	n	n	VERB
iajs-3099	137	103	1i	1i	NUM
iajs-3099	137	104	2	2	NUM
iajs-3099	137	105	nη	nη	CCONJ
iajs-3099	137	106	)	)	PUNCT
iajs-3099	137	107	2	2	NUM
iajs-3099	137	108	nη	nη	CCONJ
iajs-3099	137	109	)	)	PUNCT
iajs-3099	137	110	2	2	NUM
iajs-3099	137	111	(	(	PUNCT
iajs-3099	137	112	nη	nη	ADP
iajs-3099	137	113			PRON
iajs-3099	137	114			NOUN
iajs-3099	137	115			NOUN
iajs-3099	137	116			NOUN
iajs-3099	137	117			NOUN
iajs-3099	137	118			NOUN
iajs-3099	137	119			VERB
iajs-3099	137	120			PROPN
iajs-3099	137	121			PROPN
iajs-3099	137	122			NOUN
iajs-3099	137	123			NOUN
iajs-3099	137	124			ADV
iajs-3099	137	125			PUNCT
iajs-3099	137	126			ADV
iajs-3099	137	127	,	,	PUNCT
iajs-3099	137	128	where	where	SCONJ
iajs-3099	137	129	)	)	PUNCT
iajs-3099	137	130	γ	γ	X
iajs-3099	137	131	(	(	PUNCT
iajs-3099	137	132	.	.	PUNCT
iajs-3099	137	133	is	be	AUX
iajs-3099	137	134	a	a	DET
iajs-3099	137	135	gamma	gamma	NOUN
iajs-3099	137	136	function	function	NOUN
iajs-3099	137	137	.after	.after	PUNCT
iajs-3099	138	1	some	some	DET
iajs-3099	138	2	simplification	simplification	NOUN
iajs-3099	138	3	,	,	PUNCT
iajs-3099	138	4	it	it	PRON
iajs-3099	138	5	yields	yield	VERB
iajs-3099	138	6	(	(	PUNCT
iajs-3099	138	7	25	25	NUM
iajs-3099	138	8	)	)	PUNCT
iajs-3099	138	9	)	)	PUNCT
iajs-3099	138	10	2	2	NUM
iajs-3099	138	11	υ	υ	PRON
iajs-3099	138	12	t	t	PROPN
iajs-3099	138	13	(	(	PUNCT
iajs-3099	138	14	1	1	NUM
iajs-3099	138	15	exp	exp	NOUN
iajs-3099	138	16	(	(	PUNCT
iajs-3099	138	17	)	)	PUNCT
iajs-3099	138	18	γ	γ	X
iajs-3099	138	19	(	(	PUNCT
iajs-3099	138	20	)	)	PUNCT
iajs-3099	138	21	2	2	NUM
iajs-3099	138	22	υ	υ	PROPN
iajs-3099	138	23	t	t	PROPN
iajs-3099	138	24	(	(	PUNCT
iajs-3099	138	25	)	)	PUNCT
iajs-3099	138	26	t\	t\	PROPN
iajs-3099	139	1	(	(	PUNCT
iajs-3099	139	2	p	p	X
iajs-3099	139	3	i	i	PRON
iajs-3099	139	4	n	n	PROPN
iajs-3099	139	5	1i	1i	NUM
iajs-3099	139	6	1	1	NUM
iajs-3099	139	7	)	)	PUNCT
iajs-3099	139	8	)	)	PUNCT
iajs-3099	139	9	2	2	NUM
iajs-3099	139	10	υ	υ	NOUN
iajs-3099	139	11	(	(	PUNCT
iajs-3099	139	12	(	(	PUNCT
iajs-3099	139	13	nη	nη	NOUN
iajs-3099	139	14	-	-	PUNCT
iajs-3099	139	15	i	i	PRON
iajs-3099	139	16	n	n	NOUN
iajs-3099	139	17	1i	1i	NOUN
iajs-3099	139	18	3	3	NUM
iajs-3099	139	19	k3(t	k3(t	VERB
iajs-3099	139	20	,	,	PUNCT
iajs-3099	139	21	)	)	PUNCT
iajs-3099	139	22	2	2	NUM
iajs-3099	139	23	υ	υ	NOUN
iajs-3099	139	24	nη	nη	PROPN
iajs-3099	139	25	)	)	PUNCT
iajs-3099	139	26	2	2	NUM
iajs-3099	139	27	υ	υ	NOUN
iajs-3099	139	28	(	(	PUNCT
iajs-3099	139	29	nη	nη	ADP
iajs-3099	139	30			NOUN
iajs-3099	139	31			VERB
iajs-3099	139	32			PROPN
iajs-3099	139	33			NOUN
iajs-3099	139	34			PUNCT
iajs-3099	139	35			ADV
iajs-3099	139	36			VERB
iajs-3099	139	37			ADJ
iajs-3099	139	38			ADJ
iajs-3099	139	39			ADJ
iajs-3099	139	40			PROPN
iajs-3099	139	41	where	where	SCONJ
iajs-3099	139	42	1d	1d	NUM
iajs-3099	139	43	)	)	PUNCT
iajs-3099	139	44	2	2	NUM
iajs-3099	139	45	υ	υ	NOUN
iajs-3099	139	46	t	t	PROPN
iajs-3099	139	47	(	(	PUNCT
iajs-3099	139	48	1	1	NUM
iajs-3099	139	49	exp	exp	NOUN
iajs-3099	139	50	(	(	PUNCT
iajs-3099	139	51	γ	γ	X
iajs-3099	139	52	(	(	PUNCT
iajs-3099	139	53	)	)	PUNCT
iajs-3099	139	54	2	2	NUM
iajs-3099	139	55	υ	υ	PROPN
iajs-3099	139	56	t	t	PROPN
iajs-3099	139	57	(	(	PUNCT
iajs-3099	139	58	)	)	PUNCT
iajs-3099	139	59	i	i	PRON
iajs-3099	139	60	n	n	VERB
iajs-3099	139	61	1i	1i	NUM
iajs-3099	139	62	1	1	NUM
iajs-3099	139	63	)	)	PUNCT
iajs-3099	139	64	)	)	PUNCT
iajs-3099	139	65	2	2	NUM
iajs-3099	139	66	υ	υ	NOUN
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iajs-3099	139	76	2	2	NUM
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iajs-3099	139	85	,	,	PUNCT
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iajs-3099	139	87			VERB
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iajs-3099	139	89			NOUN
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iajs-3099	139	91			PROPN
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iajs-3099	139	93			ADV
iajs-3099	139	94			PUNCT
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iajs-3099	140	22	,	,	PUNCT
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iajs-3099	140	30	(	(	PUNCT
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iajs-3099	140	32	(	(	PUNCT
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iajs-3099	141	7	1	1	NUM
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iajs-3099	145	36			NUM
iajs-3099	145	37			PROPN
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iajs-3099	147	10	)	)	PUNCT
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iajs-3099	147	18	(	(	PUNCT
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iajs-3099	147	21	2	2	NUM
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iajs-3099	147	24	2	2	NUM
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iajs-3099	147	28			NOUN
iajs-3099	147	29			ADJ
iajs-3099	147	30			PROPN
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iajs-3099	148	1	d	d	X
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iajs-3099	148	3	2	2	NUM
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iajs-3099	148	14	t	t	PROPN
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iajs-3099	148	16	)	)	PUNCT
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iajs-3099	149	5	2	2	NUM
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iajs-3099	149	10	2	2	NUM
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iajs-3099	150	43			PROPN
iajs-3099	150	44			PROPN
iajs-3099	150	45			ADJ
iajs-3099	150	46			ADJ
iajs-3099	150	47			PROPN
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iajs-3099	150	50			ADJ
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iajs-3099	150	54			NUM
iajs-3099	150	55			NOUN
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iajs-3099	150	57			PROPN
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iajs-3099	150	59			NUM
iajs-3099	150	60			NOUN
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iajs-3099	150	63			X
iajs-3099	150	64			PUNCT
iajs-3099	150	65			X
iajs-3099	150	66			PROPN
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iajs-3099	150	69	29	29	NUM
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iajs-3099	150	71	)	)	PUNCT
iajs-3099	151	1	d	d	X
iajs-3099	151	2	)	)	PUNCT
iajs-3099	151	3	2	2	NUM
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iajs-3099	151	5	t	t	PROPN
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iajs-3099	151	7	1	1	NUM
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iajs-3099	151	9	(	(	PUNCT
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iajs-3099	151	12	2	2	NUM
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iajs-3099	151	18	(	(	PUNCT
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iajs-3099	151	20	t\	t\	PROPN
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iajs-3099	151	25	1i	1i	NUM
iajs-3099	151	26	1	1	NUM
iajs-3099	151	27	)	)	PUNCT
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iajs-3099	151	29	2	2	NUM
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iajs-3099	151	31	(	(	PUNCT
iajs-3099	151	32	(	(	PUNCT
iajs-3099	151	33	nη0	nη0	INTJ
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iajs-3099	151	36	1i	1i	NUM
iajs-3099	151	37	1	1	NUM
iajs-3099	151	38	)	)	PUNCT
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iajs-3099	151	41	1	1	NUM
iajs-3099	151	42	(	(	PUNCT
iajs-3099	151	43	(	(	PUNCT
iajs-3099	151	44	nη4	nη4	NOUN
iajs-3099	151	45			ADJ
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iajs-3099	151	50			PROPN
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iajs-3099	151	54			NUM
iajs-3099	151	55			NUM
iajs-3099	151	56			X
iajs-3099	152	1			NUM
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iajs-3099	152	3			NUM
iajs-3099	152	4			PROPN
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iajs-3099	152	12	(	(	PUNCT
iajs-3099	152	13	2	2	NUM
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iajs-3099	152	22	)	)	PUNCT
iajs-3099	152	23	2	2	NUM
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iajs-3099	152	25	t	t	PROPN
iajs-3099	152	26	(	(	PUNCT
iajs-3099	152	27	)	)	PUNCT
iajs-3099	152	28	γ	γ	X
iajs-3099	152	29	(	(	PUNCT
iajs-3099	152	30	(	(	PUNCT
iajs-3099	152	31	)	)	PUNCT
iajs-3099	152	32	γ	γ	X
iajs-3099	152	33	(	(	PUNCT
iajs-3099	152	34	)	)	PUNCT
iajs-3099	152	35	2	2	NUM
iajs-3099	152	36	κ	κ	PRON
iajs-3099	152	37	t	t	PROPN
iajs-3099	152	38	(	(	PUNCT
iajs-3099	152	39	(	(	PUNCT
iajs-3099	152	40	)	)	PUNCT
iajs-3099	152	41	2	2	NUM
iajs-3099	152	42	1	1	NUM
iajs-3099	152	43	(	(	PUNCT
iajs-3099	152	44	nη	nη	NOUN
iajs-3099	152	45	i	i	PRON
iajs-3099	152	46	n	n	VERB
iajs-3099	152	47	1i	1i	NOUN
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iajs-3099	152	49	n	n	VERB
iajs-3099	152	50	1i	1i	NUM
iajs-3099	152	51	2	2	NUM
iajs-3099	152	52	1	1	NUM
iajs-3099	152	53	nη	nη	CCONJ
iajs-3099	152	54	)	)	PUNCT
iajs-3099	152	55	2	2	NUM
iajs-3099	152	56	1	1	NUM
iajs-3099	152	57	nη	nη	CCONJ
iajs-3099	152	58	)	)	PUNCT
iajs-3099	152	59	2	2	NUM
iajs-3099	152	60	1	1	NUM
iajs-3099	152	61	(	(	PUNCT
iajs-3099	152	62	nη	nη	ADP
iajs-3099	152	63			PROPN
iajs-3099	152	64			PROPN
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iajs-3099	152	66			NOUN
iajs-3099	152	67			NOUN
iajs-3099	152	68			ADV
iajs-3099	152	69			PUNCT
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iajs-3099	152	74	γ	γ	X
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iajs-3099	152	76	.	.	PUNCT
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iajs-3099	152	86	(	(	PUNCT
iajs-3099	152	87	30	30	NUM
iajs-3099	152	88	)	)	PUNCT
iajs-3099	152	89	)	)	PUNCT
iajs-3099	152	90	2	2	NUM
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iajs-3099	152	94	1	1	NUM
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iajs-3099	152	96	(	(	PUNCT
iajs-3099	152	97	)	)	PUNCT
iajs-3099	152	98	γ	γ	X
iajs-3099	152	99	(	(	PUNCT
iajs-3099	152	100	)	)	PUNCT
iajs-3099	152	101	2	2	NUM
iajs-3099	152	102	κ	κ	PRON
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iajs-3099	152	104	(	(	PUNCT
iajs-3099	152	105	)	)	PUNCT
iajs-3099	152	106	t\	t\	PROPN
iajs-3099	153	1	(	(	PUNCT
iajs-3099	153	2	p	p	X
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iajs-3099	153	5	1i	1i	NUM
iajs-3099	153	6	1	1	NUM
iajs-3099	153	7	)	)	PUNCT
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iajs-3099	153	9	2	2	NUM
iajs-3099	153	10	1	1	NUM
iajs-3099	153	11	(	(	PUNCT
iajs-3099	153	12	(	(	PUNCT
iajs-3099	153	13	nη	nη	X
iajs-3099	153	14	-	-	PUNCT
iajs-3099	153	15	i	i	PRON
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iajs-3099	153	20	,	,	PUNCT
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iajs-3099	153	22	2	2	NUM
iajs-3099	153	23	1	1	NUM
iajs-3099	153	24	nη	nη	CCONJ
iajs-3099	153	25	)	)	PUNCT
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iajs-3099	153	28	(	(	PUNCT
iajs-3099	153	29	nη	nη	ADP
iajs-3099	153	30			NOUN
iajs-3099	153	31			VERB
iajs-3099	153	32			PROPN
iajs-3099	153	33			NOUN
iajs-3099	153	34			PUNCT
iajs-3099	153	35			ADV
iajs-3099	153	36			VERB
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iajs-3099	153	44	2	2	NUM
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iajs-3099	153	47	(	(	PUNCT
iajs-3099	153	48	1	1	NUM
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iajs-3099	153	50	(	(	PUNCT
iajs-3099	153	51	γ	γ	X
iajs-3099	153	52	(	(	PUNCT
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iajs-3099	153	57	(	(	PUNCT
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iajs-3099	153	62	1	1	NUM
iajs-3099	153	63	)	)	PUNCT
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iajs-3099	153	65	2	2	NUM
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iajs-3099	153	67	(	(	PUNCT
iajs-3099	153	68	(	(	PUNCT
iajs-3099	153	69	nη	nη	X
iajs-3099	153	70	-	-	PUNCT
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iajs-3099	153	74	0	0	NUM
iajs-3099	153	75	)	)	PUNCT
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iajs-3099	153	77	1	1	NUM
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iajs-3099	153	82	(	(	PUNCT
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iajs-3099	153	84	k4(t	k4(t	PROPN
iajs-3099	153	85	,	,	PUNCT
iajs-3099	153	86			PROPN
iajs-3099	153	87			NOUN
iajs-3099	153	88			PROPN
iajs-3099	153	89			NOUN
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iajs-3099	153	91			PROPN
iajs-3099	153	92			ADJ
iajs-3099	153	93			ADV
iajs-3099	153	94			PUNCT
iajs-3099	153	95			PROPN
iajs-3099	153	96			PROPN
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iajs-3099	153	98			PROPN
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iajs-3099	153	103	the	the	DET
iajs-3099	153	104	pdf	pdf	NOUN
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iajs-3099	153	109	[	[	X
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iajs-3099	154	6			PROPN
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iajs-3099	154	13	.	.	PUNCT
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iajs-3099	155	3	3	3	NUM
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iajs-3099	155	5	2023	2023	NUM
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iajs-3099	155	7	(	(	PUNCT
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iajs-3099	155	18	,	,	PUNCT
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iajs-3099	155	26	(	(	PUNCT
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iajs-3099	155	30	2	2	NUM
iajs-3099	155	31	κ	κ	PRON
iajs-3099	155	32	t	t	PROPN
iajs-3099	155	33	(	(	PUNCT
iajs-3099	155	34	)	)	PUNCT
iajs-3099	156	1	t\	t\	PROPN
iajs-3099	156	2	(	(	PUNCT
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iajs-3099	156	7	1	1	NUM
iajs-3099	156	8	)	)	PUNCT
iajs-3099	156	9	)	)	PUNCT
iajs-3099	156	10	2	2	NUM
iajs-3099	156	11	1	1	NUM
iajs-3099	156	12	(	(	PUNCT
iajs-3099	156	13	(	(	PUNCT
iajs-3099	156	14	nη	nη	X
iajs-3099	156	15	-	-	PUNCT
iajs-3099	156	16	i	i	PRON
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iajs-3099	156	18	1i	1i	NUM
iajs-3099	156	19	3	3	NUM
iajs-3099	156	20	)	)	PUNCT
iajs-3099	156	21	2	2	NUM
iajs-3099	156	22	1	1	NUM
iajs-3099	156	23	nη	nη	CCONJ
iajs-3099	156	24	)	)	PUNCT
iajs-3099	156	25	2	2	NUM
iajs-3099	156	26	1	1	NUM
iajs-3099	156	27	(	(	PUNCT
iajs-3099	156	28	nη	nη	NOUN
iajs-3099	156	29			PRON
iajs-3099	156	30			VERB
iajs-3099	156	31			PROPN
iajs-3099	156	32			NOUN
iajs-3099	156	33			PUNCT
iajs-3099	156	34			ADV
iajs-3099	156	35			VERB
iajs-3099	156	36			ADJ
iajs-3099	156	37			PROPN
iajs-3099	156	38			PROPN
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iajs-3099	156	44	2	2	NUM
iajs-3099	156	45	1	1	NUM
iajs-3099	156	46	(	(	PUNCT
iajs-3099	156	47	nη	nη	NOUN
iajs-3099	156	48	)	)	PUNCT
iajs-3099	156	49	,	,	PUNCT
iajs-3099	156	50	2	2	NUM
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iajs-3099	156	54	(	(	PUNCT
iajs-3099	156	55	(	(	PUNCT
iajs-3099	156	56	inverse	inverse	NOUN
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iajs-3099	156	58	t	t	NOUN
iajs-3099	156	59	\	\	PUNCT
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iajs-3099	157	6			PROPN
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iajs-3099	157	12	2	2	NUM
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iajs-3099	157	14	(	(	PUNCT
iajs-3099	157	15	nη	nη	NOUN
iajs-3099	157	16	)	)	PUNCT
iajs-3099	157	17	2	2	NUM
iajs-3099	157	18	κ	κ	PRON
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iajs-3099	157	20	(	(	PUNCT
iajs-3099	157	21	1)2	1)2	NUM
iajs-3099	157	22	1	1	NUM
iajs-3099	157	23	(	(	PUNCT
iajs-3099	157	24	nη	nη	NOUN
iajs-3099	157	25	)	)	PUNCT
iajs-3099	157	26	2	2	NUM
iajs-3099	157	27	κ	κ	PRON
iajs-3099	157	28	t	t	PROPN
iajs-3099	157	29	(	(	PUNCT
iajs-3099	157	30	)	)	PUNCT
iajs-3099	157	31	t	t	PROPN
iajs-3099	157	32	\	\	NOUN
iajs-3099	158	1	e	e	X
iajs-3099	158	2	(	(	PUNCT
iajs-3099	158	3	i	i	NOUN
iajs-3099	158	4	n	n	CCONJ
iajs-3099	158	5	1ii	1ii	ADJ
iajs-3099	158	6	n	n	CCONJ
iajs-3099	158	7	1i	1i	NOUN
iajs-3099	158	8			PROPN
iajs-3099	158	9			PROPN
iajs-3099	158	10			NUM
iajs-3099	158	11			ADJ
iajs-3099	158	12			NOUN
iajs-3099	158	13			NUM
iajs-3099	158	14			NUM
iajs-3099	158	15			ADJ
iajs-3099	158	16	and	and	CCONJ
iajs-3099	158	17	posterior	posterior	ADJ
iajs-3099	158	18	variance	variance	NOUN
iajs-3099	158	19	is	be	AUX
iajs-3099	158	20	)	)	PUNCT
iajs-3099	158	21	2	2	NUM
iajs-3099	158	22	3	3	NUM
iajs-3099	158	23	nη	nη	NOUN
iajs-3099	158	24	(	(	PUNCT
iajs-3099	158	25	)	)	PUNCT
iajs-3099	158	26	2	2	NUM
iajs-3099	158	27	1	1	NUM
iajs-3099	158	28	(	(	PUNCT
iajs-3099	158	29	nη	nη	NOUN
iajs-3099	158	30	)	)	PUNCT
iajs-3099	158	31	2	2	NUM
iajs-3099	158	32	κ	κ	PRON
iajs-3099	158	33	t	t	PROPN
iajs-3099	158	34	(	(	PUNCT
iajs-3099	158	35	2)2	2)2	NUM
iajs-3099	158	36	1	1	NUM
iajs-3099	158	37	nη(1)2	nη(1)2	NUM
iajs-3099	158	38	1	1	NUM
iajs-3099	158	39	(	(	PUNCT
iajs-3099	158	40	nη	nη	NOUN
iajs-3099	158	41	)	)	PUNCT
iajs-3099	158	42	2	2	NUM
iajs-3099	158	43	κ	κ	PRON
iajs-3099	158	44	t	t	PROPN
iajs-3099	158	45	(	(	PUNCT
iajs-3099	158	46	)	)	PUNCT
iajs-3099	158	47	t	t	PROPN
iajs-3099	158	48	\	\	PROPN
iajs-3099	158	49	var	var	NOUN
iajs-3099	158	50	(	(	PUNCT
iajs-3099	158	51	2	2	NUM
iajs-3099	158	52	2	2	NUM
iajs-3099	158	53	i	i	NOUN
iajs-3099	158	54	n	n	NOUN
iajs-3099	158	55	1i	1i	NOUN
iajs-3099	158	56	2	2	NUM
iajs-3099	158	57	2	2	NUM
iajs-3099	158	58	i	i	PRON
iajs-3099	158	59	n	n	VERB
iajs-3099	158	60	1i	1i	NUM
iajs-3099	158	61			NOUN
iajs-3099	158	62			NOUN
iajs-3099	158	63			PROPN
iajs-3099	158	64			PROPN
iajs-3099	158	65			NOUN
iajs-3099	158	66			ADP
iajs-3099	158	67			NUM
iajs-3099	158	68			NOUN
iajs-3099	158	69	.	.	PUNCT
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iajs-3099	159	2	estimation	estimation	NOUN
iajs-3099	159	3	under	under	ADP
iajs-3099	159	4	general	general	ADJ
iajs-3099	159	5	entropy	entropy	NOUN
iajs-3099	159	6	loss	loss	PROPN
iajs-3099	159	7	function	function	NOUN
iajs-3099	159	8	calabria	calabria	NOUN
iajs-3099	159	9	and	and	CCONJ
iajs-3099	159	10	pulcini	pulcini	PROPN
iajs-3099	159	11	[	[	X
iajs-3099	159	12	16	16	NUM
iajs-3099	159	13	]	]	PUNCT
iajs-3099	159	14	(	(	PUNCT
iajs-3099	159	15	1994	1994	NUM
iajs-3099	159	16	)	)	PUNCT
iajs-3099	159	17	introduced	introduce	VERB
iajs-3099	159	18	general	general	ADJ
iajs-3099	159	19	entropy	entropy	NOUN
iajs-3099	159	20	loss	loss	NOUN
iajs-3099	159	21	function	function	NOUN
iajs-3099	159	22	(	(	PUNCT
iajs-3099	159	23	gelf	gelf	NOUN
iajs-3099	159	24	)	)	PUNCT
iajs-3099	159	25	,	,	PUNCT
iajs-3099	159	26	with	with	ADP
iajs-3099	159	27	the	the	DET
iajs-3099	159	28	following	follow	VERB
iajs-3099	159	29	form	form	NOUN
iajs-3099	159	30	(	(	PUNCT
iajs-3099	159	31	32	32	NUM
iajs-3099	159	32	)	)	PUNCT
iajs-3099	159	33	0c	0c	NOUN
iajs-3099	159	34	,	,	PUNCT
iajs-3099	159	35	1)(clog	1)(clog	NUM
iajs-3099	159	36	)	)	PUNCT
iajs-3099	159	37	(	(	PUNCT
iajs-3099	159	38	)	)	PUNCT
iajs-3099	159	39	,	,	PUNCT
iajs-3099	159	40	(	(	PUNCT
iajs-3099	159	41	^^	^^	PUNCT
iajs-3099	159	42	^	^	PUNCT
iajs-3099	159	43	e	e	X
iajs-3099	159	44	c	c	X
iajs-3099	159	45			PUNCT
iajs-3099	159	46			ADJ
iajs-3099	159	47			ADJ
iajs-3099	159	48			ADJ
iajs-3099	159	49			ADJ
iajs-3099	159	50			NOUN
iajs-3099	159	51	where	where	SCONJ
iajs-3099	159	52	c	c	PROPN
iajs-3099	159	53	represents	represent	VERB
iajs-3099	159	54	the	the	DET
iajs-3099	159	55	shape	shape	NOUN
iajs-3099	159	56	parameter	parameter	NOUN
iajs-3099	159	57	of	of	ADP
iajs-3099	159	58	general	general	ADJ
iajs-3099	159	59	entropy	entropy	PROPN
iajs-3099	159	60	loss	loss	NOUN
iajs-3099	159	61	function	function	NOUN
iajs-3099	159	62	.	.	PUNCT
iajs-3099	160	1	and	and	CCONJ
iajs-3099	160	2	we	we	PRON
iajs-3099	160	3	can	can	AUX
iajs-3099	160	4	define	define	VERB
iajs-3099	160	5	the	the	DET
iajs-3099	160	6	risk	risk	NOUN
iajs-3099	160	7	function	function	NOUN
iajs-3099	160	8	as	as	SCONJ
iajs-3099	160	9	follows	follow	VERB
iajs-3099	160	10	1))(clog)e	1))(clog)e	NUM
iajs-3099	160	11	(	(	PUNCT
iajs-3099	160	12	(	(	PUNCT
iajs-3099	160	13	)	)	PUNCT
iajs-3099	160	14	,	,	PUNCT
iajs-3099	160	15	k	k	X
iajs-3099	160	16	(	(	PUNCT
iajs-3099	160	17	,	,	PUNCT
iajs-3099	160	18	)	)	PUNCT
iajs-3099	160	19	]	]	PUNCT
iajs-3099	160	20	,	,	PUNCT
iajs-3099	160	21	(	(	PUNCT
iajs-3099	160	22	e	e	X
iajs-3099	160	23	[	[	NOUN
iajs-3099	160	24	)	)	PUNCT
iajs-3099	160	25	,	,	PUNCT
iajs-3099	160	26	k	k	X
iajs-3099	160	27	(	(	PUNCT
iajs-3099	160	28	^^	^^	PUNCT
iajs-3099	160	29	^^^	^^^	X
iajs-3099	160	30	e	e	X
iajs-3099	160	31	c	c	NOUN
iajs-3099	160	32			NOUN
iajs-3099	160	33			ADJ
iajs-3099	160	34			ADJ
iajs-3099	160	35			PROPN
iajs-3099	160	36			PROPN
iajs-3099	160	37			PROPN
iajs-3099	160	38			ADJ
iajs-3099	160	39			ADJ
iajs-3099	160	40			ADJ
iajs-3099	160	41			ADJ
iajs-3099	160	42			ADJ
iajs-3099	160	43			ADJ
iajs-3099	160	44			PROPN
iajs-3099	160	45			PROPN
iajs-3099	160	46	t)d\	t)d\	PROPN
iajs-3099	160	47	p	p	PROPN
iajs-3099	160	48	(	(	PUNCT
iajs-3099	160	49	1))(clog	1))(clog	NUM
iajs-3099	160	50	)	)	PUNCT
iajs-3099	160	51	(	(	PUNCT
iajs-3099	160	52	(	(	PUNCT
iajs-3099	160	53	)	)	PUNCT
iajs-3099	160	54	,	,	PUNCT
iajs-3099	160	55	k	k	X
iajs-3099	160	56	(	(	PUNCT
iajs-3099	160	57	^^	^^	PUNCT
iajs-3099	160	58	^	^	PUNCT
iajs-3099	161	1	e	e	X
iajs-3099	161	2	c	c	X
iajs-3099	161	3			PROPN
iajs-3099	161	4			PROPN
iajs-3099	161	5			PROPN
iajs-3099	161	6			PROPN
iajs-3099	161	7			ADJ
iajs-3099	161	8			ADJ
iajs-3099	161	9			PROPN
iajs-3099	161	10			PROPN
iajs-3099	161	11			ADJ
iajs-3099	161	12			ADJ
iajs-3099	161	13			PROPN
iajs-3099	161	14			PROPN
iajs-3099	161	15	d	d	NOUN
iajs-3099	161	16	)	)	PUNCT
iajs-3099	161	17	t)d\	t)d\	PROPN
iajs-3099	161	18	1p(t)d\	1p(t)d\	NUM
iajs-3099	161	19	)	)	PUNCT
iajs-3099	161	20	p((logct)d\	p((logct)d\	NOUN
iajs-3099	161	21	p	p	NOUN
iajs-3099	161	22	(	(	PUNCT
iajs-3099	161	23	)	)	PUNCT
iajs-3099	161	24	(	(	PUNCT
iajs-3099	161	25	)	)	PUNCT
iajs-3099	161	26	,	,	PUNCT
iajs-3099	161	27	k	k	X
iajs-3099	161	28	(	(	PUNCT
iajs-3099	161	29	^^	^^	PUNCT
iajs-3099	161	30	^	^	PUNCT
iajs-3099	161	31	e	e	X
iajs-3099	161	32	c	c	X
iajs-3099	161	33			NOUN
iajs-3099	161	34	by	by	ADP
iajs-3099	161	35	taking	take	VERB
iajs-3099	161	36	partial	partial	ADJ
iajs-3099	161	37	derivative	derivative	NOUN
iajs-3099	161	38	for	for	ADP
iajs-3099	161	39	^	^	PUNCT
iajs-3099	161	40			ADJ
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iajs-3099	161	42	make	make	VERB
iajs-3099	161	43	it	it	PRON
iajs-3099	161	44	equal	equal	ADJ
iajs-3099	161	45	to	to	ADP
iajs-3099	161	46	zero	zero	NUM
iajs-3099	161	47	to	to	PART
iajs-3099	161	48	obtain	obtain	VERB
iajs-3099	161	49	^	^	PUNCT
iajs-3099	161	50			PROPN
iajs-3099	161	51	based	base	VERB
iajs-3099	161	52	on	on	ADP
iajs-3099	161	53	gelf	gelf	PROPN
iajs-3099	161	54	c	c	X
iajs-3099	161	55	t)\e(1	t)\e(1	NOUN
iajs-3099	161	56	-	-	PROPN
iajs-3099	161	57	c	c	NOUN
iajs-3099	161	58	)	)	PUNCT
iajs-3099	161	59	(	(	PUNCT
iajs-3099	161	60	c	c	NOUN
iajs-3099	161	61	)	)	PUNCT
iajs-3099	161	62	,	,	PUNCT
iajs-3099	161	63	k	k	X
iajs-3099	161	64	(	(	PUNCT
iajs-3099	161	65	^	^	PUNCT
iajs-3099	161	66	^	^	PUNCT
iajs-3099	161	67	^	^	PUNCT
iajs-3099	161	68	^	^	PUNCT
iajs-3099	161	69			ADJ
iajs-3099	161	70			PROPN
iajs-3099	161	71			PROPN
iajs-3099	161	72			ADJ
iajs-3099	161	73			ADJ
iajs-3099	161	74			ADJ
iajs-3099	161	75			PROPN
iajs-3099	161	76	,	,	PUNCT
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iajs-3099	161	78	satisfies	satisfy	VERB
iajs-3099	161	79	the	the	DET
iajs-3099	161	80	following	follow	VERB
iajs-3099	161	81	condition	condition	NOUN
iajs-3099	161	82			VERB
iajs-3099	161	83			ADJ
iajs-3099	161	84			PROPN
iajs-3099	161	85	0	0	NUM
iajs-3099	161	86	)	)	PUNCT
iajs-3099	161	87	,	,	PUNCT
iajs-3099	162	1	k	k	X
iajs-3099	162	2	(	(	PUNCT
iajs-3099	162	3	^	^	PUNCT
iajs-3099	162	4	^	^	PUNCT
iajs-3099	162	5			PROPN
iajs-3099	162	6			PROPN
iajs-3099	162	7	1-	1-	X
iajs-3099	162	8	)	)	PUNCT
iajs-3099	162	9	(	(	PUNCT
iajs-3099	162	10	ct)\e(1	ct)\e(1	X
iajs-3099	162	11	-	-	PUNCT
iajs-3099	162	12	c	c	NOUN
iajs-3099	162	13	)	)	PUNCT
iajs-3099	162	14	(	(	PUNCT
iajs-3099	162	15	c	c	NOUN
iajs-3099	162	16	^^	^^	PUNCT
iajs-3099	162	17			PROPN
iajs-3099	162	18			NOUN
iajs-3099	162	19	,	,	PUNCT
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iajs-3099	162	21	obtain	obtain	VERB
iajs-3099	162	22	bayes	bayes	PROPN
iajs-3099	162	23	estimator	estimator	NOUN
iajs-3099	162	24	based	base	VERB
iajs-3099	162	25	on	on	ADP
iajs-3099	162	26	general	general	ADJ
iajs-3099	162	27	entropy	entropy	NOUN
iajs-3099	162	28	loss	loss	NOUN
iajs-3099	162	29	function	function	NOUN
iajs-3099	162	30	(	(	PUNCT
iajs-3099	162	31	gelf	gelf	NOUN
iajs-3099	162	32	)	)	PUNCT
iajs-3099	162	33	of	of	ADP
iajs-3099	162	34			ADJ
iajs-3099	162	35	denoted	denote	VERB
iajs-3099	162	36	by	by	ADP
iajs-3099	162	37	^	^	PUNCT
iajs-3099	162	38			ADJ
iajs-3099	162	39	under	under	ADP
iajs-3099	162	40	different	different	ADJ
iajs-3099	162	41	priors	prior	NOUN
iajs-3099	162	42	as	as	SCONJ
iajs-3099	162	43	follows	follow	VERB
iajs-3099	162	44	(	(	PUNCT
iajs-3099	162	45	33	33	NUM
iajs-3099	162	46	)	)	PUNCT
iajs-3099	162	47	]	]	X
iajs-3099	162	48	t)d\p(c	t)d\p(c	PROPN
iajs-3099	162	49	[	[	PUNCT
iajs-3099	162	50	t)]\c	t)]\c	PROPN
iajs-3099	162	51	[	[	X
iajs-3099	162	52	(	(	PUNCT
iajs-3099	162	53	c	c	PROPN
iajs-3099	162	54	1	1	NUM
iajs-3099	162	55	gelf	gelf	NOUN
iajs-3099	162	56	c	c	PROPN
iajs-3099	162	57	1	1	NUM
iajs-3099	162	58	gelf	gelf	NOUN
iajs-3099	162	59	^^	^^	PUNCT
iajs-3099	162	60			X
iajs-3099	162	61			VERB
iajs-3099	162	62			PUNCT
iajs-3099	162	63			PROPN
iajs-3099	162	64			PROPN
iajs-3099	162	65			PROPN
iajs-3099	162	66	ihjpas	ihjpas	PROPN
iajs-3099	162	67	.	.	PUNCT
iajs-3099	163	1	36	36	NUM
iajs-3099	163	2	(	(	PUNCT
iajs-3099	163	3	3	3	NUM
iajs-3099	163	4	)	)	PUNCT
iajs-3099	163	5	2023	2023	NUM
iajs-3099	163	6	340	340	NUM
iajs-3099	163	7	we	we	PRON
iajs-3099	163	8	can	can	AUX
iajs-3099	163	9	verify	verify	VERB
iajs-3099	163	10	that	that	SCONJ
iajs-3099	163	11	if	if	SCONJ
iajs-3099	163	12	1c	1c	NOUN
iajs-3099	163	13			NUM
iajs-3099	163	14	,	,	PUNCT
iajs-3099	163	15	it	it	PRON
iajs-3099	163	16	yields	yield	VERB
iajs-3099	163	17	bayes	bayes	PROPN
iajs-3099	163	18	estimator	estimator	NOUN
iajs-3099	163	19	of	of	ADP
iajs-3099	163	20			PROPN
iajs-3099	163	21	based	base	VERB
iajs-3099	163	22	on	on	ADP
iajs-3099	163	23	entropy	entropy	NOUN
iajs-3099	163	24	loss	loss	NOUN
iajs-3099	163	25	function	function	NOUN
iajs-3099	163	26	.	.	PUNCT
iajs-3099	164	1	and	and	CCONJ
iajs-3099	164	2	if	if	SCONJ
iajs-3099	164	3	1c	1c	NOUN
iajs-3099	164	4			NUM
iajs-3099	164	5	,	,	PUNCT
iajs-3099	164	6	it	it	PRON
iajs-3099	164	7	yields	yield	VERB
iajs-3099	164	8	bayes	bayes	PROPN
iajs-3099	164	9	estimator	estimator	NOUN
iajs-3099	164	10	of	of	ADP
iajs-3099	164	11			PROPN
iajs-3099	164	12	based	base	VERB
iajs-3099	164	13	on	on	ADP
iajs-3099	164	14	weighted	weight	VERB
iajs-3099	164	15	square	square	ADJ
iajs-3099	164	16	error	error	NOUN
iajs-3099	164	17	loss	loss	NOUN
iajs-3099	164	18	function	function	NOUN
iajs-3099	164	19	.also	.also	VERB
iajs-3099	164	20	if	if	SCONJ
iajs-3099	164	21	1c	1c	NOUN
iajs-3099	164	22			ADV
iajs-3099	164	23	,	,	PUNCT
iajs-3099	164	24	it	it	PRON
iajs-3099	164	25	yields	yield	VERB
iajs-3099	164	26	bayes	bayes	PROPN
iajs-3099	164	27	estimator	estimator	NOUN
iajs-3099	164	28	of	of	ADP
iajs-3099	164	29			PROPN
iajs-3099	164	30	based	base	VERB
iajs-3099	164	31	on	on	ADP
iajs-3099	164	32	square	square	ADJ
iajs-3099	164	33	error	error	NOUN
iajs-3099	164	34	loss	loss	NOUN
iajs-3099	164	35	function	function	NOUN
iajs-3099	164	36	.	.	PUNCT
iajs-3099	165	1	so	so	ADV
iajs-3099	165	2	we	we	PRON
iajs-3099	165	3	can	can	AUX
iajs-3099	165	4	derive	derive	VERB
iajs-3099	165	5	bayes	bayes	PROPN
iajs-3099	165	6	estimator	estimator	NOUN
iajs-3099	165	7	for	for	ADP
iajs-3099	165	8	unknown	unknown	ADJ
iajs-3099	165	9	scale	scale	NOUN
iajs-3099	165	10	parameter	parameter	NOUN
iajs-3099	165	11			PROPN
iajs-3099	165	12	when	when	SCONJ
iajs-3099	165	13	shape	shape	NOUN
iajs-3099	165	14	parameter	parameter	PROPN
iajs-3099	165	15	η	η	PROPN
iajs-3099	165	16	is	be	AUX
iajs-3099	165	17	known	know	VERB
iajs-3099	165	18	based	base	VERB
iajs-3099	165	19	on	on	ADP
iajs-3099	165	20	general	general	ADJ
iajs-3099	165	21	entropy	entropy	NOUN
iajs-3099	165	22	loss	loss	NOUN
iajs-3099	165	23	function	function	NOUN
iajs-3099	165	24	(	(	PUNCT
iajs-3099	165	25	gelf	gelf	NOUN
iajs-3099	165	26	)	)	PUNCT
iajs-3099	165	27	as	as	SCONJ
iajs-3099	165	28	follows	follow	VERB
iajs-3099	165	29	.	.	PUNCT
iajs-3099	166	1	4.1	4.1	NUM
iajs-3099	166	2	bayes	bayes	PROPN
iajs-3099	166	3	estimator	estimator	NOUN
iajs-3099	166	4	of	of	ADP
iajs-3099	166	5	scale	scale	NOUN
iajs-3099	166	6	parameter	parameter	NOUN
iajs-3099	166	7	using	use	VERB
iajs-3099	166	8	the	the	DET
iajs-3099	166	9	inverse	inverse	NOUN
iajs-3099	166	10	exponential	exponential	NOUN
iajs-3099	166	11	as	as	ADP
iajs-3099	166	12	prior	prior	ADJ
iajs-3099	166	13	distribution	distribution	NOUN
iajs-3099	166	14	by	by	ADP
iajs-3099	166	15	using	use	VERB
iajs-3099	166	16	the	the	DET
iajs-3099	166	17	posterior	posterior	ADJ
iajs-3099	166	18	density	density	NOUN
iajs-3099	166	19	using	use	VERB
iajs-3099	166	20	the	the	DET
iajs-3099	166	21	inverse	inverse	ADJ
iajs-3099	166	22	exponential	exponential	ADJ
iajs-3099	166	23	distribution	distribution	NOUN
iajs-3099	166	24	,	,	PUNCT
iajs-3099	166	25	we	we	PRON
iajs-3099	166	26	can	can	AUX
iajs-3099	166	27	derive	derive	VERB
iajs-3099	166	28	bayes	bayes	PROPN
iajs-3099	166	29	estimator	estimator	NOUN
iajs-3099	166	30	for	for	ADP
iajs-3099	166	31			PROPN
iajs-3099	166	32	based	base	VERB
iajs-3099	166	33	on	on	ADP
iajs-3099	166	34	general	general	ADJ
iajs-3099	166	35	entropy	entropy	NOUN
iajs-3099	166	36	loss	loss	NOUN
iajs-3099	166	37	function	function	NOUN
iajs-3099	166	38	(	(	PUNCT
iajs-3099	166	39	gelf	gelf	NOUN
iajs-3099	166	40	)	)	PUNCT
iajs-3099	166	41	,	,	PUNCT
iajs-3099	166	42	by	by	ADP
iajs-3099	166	43	substituting	substitute	VERB
iajs-3099	166	44	equation	equation	NOUN
iajs-3099	166	45	(	(	PUNCT
iajs-3099	166	46	16	16	NUM
iajs-3099	166	47	)	)	PUNCT
iajs-3099	166	48	in	in	ADP
iajs-3099	166	49	equation	equation	NOUN
iajs-3099	166	50	(	(	PUNCT
iajs-3099	166	51	33	33	NUM
iajs-3099	166	52	)	)	PUNCT
iajs-3099	166	53	,	,	PUNCT
iajs-3099	166	54	yields	yield	NOUN
iajs-3099	166	55	(	(	PUNCT
iajs-3099	166	56	33	33	NUM
iajs-3099	166	57	)	)	PUNCT
iajs-3099	166	58	]	]	PUNCT
iajs-3099	166	59	)	)	PUNCT
iajs-3099	167	1	d	d	X
iajs-3099	167	2	t\	t\	PROPN
iajs-3099	167	3	(	(	PUNCT
iajs-3099	167	4	pc	pc	NOUN
iajs-3099	167	5	[	[	PUNCT
iajs-3099	167	6	c	c	NOUN
iajs-3099	167	7	1	1	NUM
iajs-3099	167	8	1gelf(1	1gelf(1	NUM
iajs-3099	167	9	)	)	PUNCT
iajs-3099	167	10	^	^	PUNCT
iajs-3099	167	11			NUM
iajs-3099	167	12			VERB
iajs-3099	167	13			PROPN
iajs-3099	167	14			PROPN
iajs-3099	167	15			PROPN
iajs-3099	167	16	c	c	PROPN
iajs-3099	167	17	1	1	NUM
iajs-3099	167	18	i	i	NOUN
iajs-3099	167	19	n	n	VERB
iajs-3099	167	20	1i	1i	NOUN
iajs-3099	167	21	1)1)((nη	1)1)((nη	NOUN
iajs-3099	167	22	-	-	PUNCT
iajs-3099	167	23	i	i	PRON
iajs-3099	167	24	n	n	NOUN
iajs-3099	167	25	1i	1i	NOUN
iajs-3099	167	26	0	0	NUM
iajs-3099	167	27	gelf(1	gelf(1	NOUN
iajs-3099	167	28	)	)	PUNCT
iajs-3099	168	1	]	]	PUNCT
iajs-3099	168	2	d	d	X
iajs-3099	168	3	ω))t	ω))t	NOUN
iajs-3099	168	4	(	(	PUNCT
iajs-3099	168	5	1	1	NUM
iajs-3099	168	6	exp	exp	NOUN
iajs-3099	168	7	(	(	PUNCT
iajs-3099	168	8	γ	γ	X
iajs-3099	168	9	(	(	PUNCT
iajs-3099	168	10	ω)t	ω)t	NOUN
iajs-3099	168	11	(	(	PUNCT
iajs-3099	168	12	c	c	X
iajs-3099	168	13	[	[	PUNCT
iajs-3099	168	14	1)nη	1)nη	NUM
iajs-3099	168	15	1)(nη^	1)(nη^	NUM
iajs-3099	168	16			NOUN
iajs-3099	168	17			NUM
iajs-3099	168	18			PART
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iajs-3099	169	2			PROPN
iajs-3099	169	3			NOUN
iajs-3099	169	4			PROPN
iajs-3099	169	5			VERB
iajs-3099	169	6			VERB
iajs-3099	169	7			PUNCT
iajs-3099	169	8			PROPN
iajs-3099	169	9			PROPN
iajs-3099	169	10			PROPN
iajs-3099	169	11			PROPN
iajs-3099	169	12	(	(	PUNCT
iajs-3099	169	13	34	34	NUM
iajs-3099	169	14	)	)	PUNCT
iajs-3099	169	15	]	]	PUNCT
iajs-3099	170	1	d	d	X
iajs-3099	170	2	ω))t	ω))t	NOUN
iajs-3099	170	3	(	(	PUNCT
iajs-3099	170	4	1	1	NUM
iajs-3099	170	5	exp	exp	NOUN
iajs-3099	170	6	(	(	PUNCT
iajs-3099	170	7	γ	γ	X
iajs-3099	170	8	(	(	PUNCT
iajs-3099	170	9	ω)t	ω)t	VERB
iajs-3099	170	10	(	(	PUNCT
iajs-3099	170	11	[	[	PUNCT
iajs-3099	170	12	c	c	NOUN
iajs-3099	170	13	1	1	NUM
iajs-3099	170	14	i	i	NOUN
iajs-3099	170	15	n	n	VERB
iajs-3099	170	16	1i	1i	NUM
iajs-3099	170	17	1)1)c((nη	1)1)c((nη	NUM
iajs-3099	170	18	-	-	PUNCT
iajs-3099	170	19	i	i	PRON
iajs-3099	170	20	n	n	NOUN
iajs-3099	170	21	1i	1i	NOUN
iajs-3099	170	22	0	0	NUM
iajs-3099	170	23	gelf(1	gelf(1	NOUN
iajs-3099	170	24	)	)	PUNCT
iajs-3099	170	25	1)nη	1)nη	NUM
iajs-3099	170	26	c-1)c(nη^	c-1)c(nη^	PROPN
iajs-3099	170	27			PROPN
iajs-3099	170	28			PROPN
iajs-3099	170	29			NOUN
iajs-3099	170	30			VERB
iajs-3099	170	31			PROPN
iajs-3099	170	32			NOUN
iajs-3099	170	33			NOUN
iajs-3099	170	34			PROPN
iajs-3099	170	35			ADJ
iajs-3099	170	36			ADJ
iajs-3099	170	37			PUNCT
iajs-3099	170	38			ADJ
iajs-3099	170	39			PROPN
iajs-3099	170	40			PROPN
iajs-3099	170	41			PROPN
iajs-3099	170	42	by	by	ADP
iajs-3099	170	43	multiplying	multiply	VERB
iajs-3099	170	44	the	the	DET
iajs-3099	170	45	integral	integral	ADJ
iajs-3099	170	46	in	in	ADP
iajs-3099	170	47	equation	equation	NOUN
iajs-3099	170	48	(	(	PUNCT
iajs-3099	170	49	34	34	NUM
iajs-3099	170	50	)	)	PUNCT
iajs-3099	170	51	by	by	ADP
iajs-3099	170	52	the	the	DET
iajs-3099	170	53	quantity	quantity	NOUN
iajs-3099	170	54	which	which	PRON
iajs-3099	170	55	equals	equal	VERB
iajs-3099	170	56	to	to	ADP
iajs-3099	170	57	)	)	PUNCT
iajs-3099	170	58	)	)	PUNCT
iajs-3099	171	1	γ	γ	X
iajs-3099	171	2	(	(	PUNCT
iajs-3099	171	3	)	)	PUNCT
iajs-3099	171	4	γ	γ	X
iajs-3099	171	5	(	(	PUNCT
iajs-3099	171	6	(	(	PUNCT
iajs-3099	171	7	1cnη	1cnη	NUM
iajs-3099	171	8	1cnη	1cnη	NUM
iajs-3099	171	9			PROPN
iajs-3099	171	10			PROPN
iajs-3099	171	11	,	,	PUNCT
iajs-3099	171	12	where	where	SCONJ
iajs-3099	171	13	)	)	PUNCT
iajs-3099	171	14	γ	γ	X
iajs-3099	171	15	(	(	PUNCT
iajs-3099	171	16	.	.	PUNCT
iajs-3099	171	17	is	be	AUX
iajs-3099	171	18	a	a	DET
iajs-3099	171	19	gamma	gamma	NOUN
iajs-3099	171	20	function	function	NOUN
iajs-3099	171	21	.	.	PUNCT
iajs-3099	172	1	after	after	ADP
iajs-3099	172	2	some	some	DET
iajs-3099	172	3	simplification	simplification	NOUN
iajs-3099	172	4	,	,	PUNCT
iajs-3099	172	5	it	it	PRON
iajs-3099	172	6	yields	yield	VERB
iajs-3099	172	7	(	(	PUNCT
iajs-3099	172	8	35	35	NUM
iajs-3099	172	9	)	)	PUNCT
iajs-3099	172	10	)	)	PUNCT
iajs-3099	173	1	]	]	PUNCT
iajs-3099	173	2	b1(t	b1(t	X
iajs-3099	173	3	,	,	PUNCT
iajs-3099	173	4	cω)t(γ	cω)t(γ	NOUN
iajs-3099	173	5	(	(	PUNCT
iajs-3099	173	6	γ	γ	X
iajs-3099	173	7	(	(	PUNCT
iajs-3099	173	8	[	[	PUNCT
iajs-3099	173	9	c	c	NOUN
iajs-3099	173	10	1	1	NUM
iajs-3099	173	11	i	i	NOUN
iajs-3099	173	12	n	n	NOUN
iajs-3099	173	13	1i	1i	NUM
iajs-3099	173	14	gelf(1	gelf(1	NOUN
iajs-3099	173	15	)	)	PUNCT
iajs-3099	173	16	1)nη	1)nη	NUM
iajs-3099	173	17	1)cnη	1)cnη	NUM
iajs-3099	173	18	^	^	PUNCT
iajs-3099	173	19			PROPN
iajs-3099	173	20			PROPN
iajs-3099	173	21			PROPN
iajs-3099	173	22			NUM
iajs-3099	173	23			ADJ
iajs-3099	173	24			PROPN
iajs-3099	173	25			PROPN
iajs-3099	173	26	where	where	SCONJ
iajs-3099	173	27	1	1	NUM
iajs-3099	173	28	d	d	NOUN
iajs-3099	173	29	ω))t	ω))t	NOUN
iajs-3099	173	30	(	(	PUNCT
iajs-3099	173	31	1	1	NUM
iajs-3099	173	32	exp	exp	NOUN
iajs-3099	173	33	(	(	PUNCT
iajs-3099	173	34	γ	γ	X
iajs-3099	173	35	(	(	PUNCT
iajs-3099	173	36	ω)t	ω)t	NOUN
iajs-3099	173	37	(	(	PUNCT
iajs-3099	173	38	)	)	PUNCT
iajs-3099	173	39	b1(t	b1(t	PROPN
iajs-3099	173	40	,	,	PUNCT
iajs-3099	173	41	i	i	PRON
iajs-3099	173	42	n	n	VERB
iajs-3099	173	43	1i	1i	NUM
iajs-3099	173	44	1)1)c((nη	1)1)c((nη	NUM
iajs-3099	173	45	-	-	PUNCT
iajs-3099	173	46	i	i	PRON
iajs-3099	173	47	n	n	NOUN
iajs-3099	173	48	1i	1i	NOUN
iajs-3099	173	49	0	0	NUM
iajs-3099	173	50	1)cnη	1)cnη	NUM
iajs-3099	173	51	1)c(nη	1)c(nη	NUM
iajs-3099	173	52			PROPN
iajs-3099	173	53			NOUN
iajs-3099	173	54			PROPN
iajs-3099	173	55			PROPN
iajs-3099	173	56			NOUN
iajs-3099	173	57			VERB
iajs-3099	173	58			PRON
iajs-3099	173	59			PROPN
iajs-3099	173	60			PROPN
iajs-3099	173	61			PUNCT
iajs-3099	173	62			ADJ
iajs-3099	173	63			PROPN
iajs-3099	173	64			PROPN
iajs-3099	173	65			PROPN
iajs-3099	173	66	is	be	AUX
iajs-3099	173	67	the	the	DET
iajs-3099	173	68	integral	integral	ADJ
iajs-3099	173	69	of	of	ADP
iajs-3099	173	70	the	the	DET
iajs-3099	173	71	pdf	pdf	NOUN
iajs-3099	173	72	of	of	ADP
iajs-3099	173	73	inverse	inverse	NOUN
iajs-3099	173	74	gamma	gamma	NOUN
iajs-3099	173	75	distribution	distribution	NOUN
iajs-3099	173	76	[	[	X
iajs-3099	173	77	13	13	NUM
iajs-3099	173	78	]	]	PUNCT
iajs-3099	173	79	.so	.so	PUNCT
iajs-3099	173	80	the	the	DET
iajs-3099	173	81	bayes	bayes	PROPN
iajs-3099	173	82	estimator	estimator	NOUN
iajs-3099	173	83	for	for	ADP
iajs-3099	173	84			PROPN
iajs-3099	173	85	will	will	AUX
iajs-3099	173	86	be	be	AUX
iajs-3099	173	87	(	(	PUNCT
iajs-3099	173	88	36	36	NUM
iajs-3099	173	89	)	)	PUNCT
iajs-3099	173	90	]	]	PUNCT
iajs-3099	174	1	cω)t(γ	cω)t(γ	NOUN
iajs-3099	174	2	(	(	PUNCT
iajs-3099	174	3	γ	γ	X
iajs-3099	174	4	(	(	PUNCT
iajs-3099	174	5	[	[	PUNCT
iajs-3099	174	6	c	c	NOUN
iajs-3099	174	7	1	1	NUM
iajs-3099	174	8	i	i	NOUN
iajs-3099	174	9	n	n	NOUN
iajs-3099	174	10	1i	1i	NUM
iajs-3099	174	11	gelf(1	gelf(1	NOUN
iajs-3099	174	12	)	)	PUNCT
iajs-3099	174	13	1)nη	1)nη	NUM
iajs-3099	174	14	1)cnη	1)cnη	NUM
iajs-3099	174	15	^	^	PUNCT
iajs-3099	174	16			PROPN
iajs-3099	174	17			PROPN
iajs-3099	174	18			PROPN
iajs-3099	174	19			NUM
iajs-3099	174	20			ADJ
iajs-3099	174	21			PROPN
iajs-3099	174	22			PROPN
iajs-3099	174	23	4.2	4.2	NUM
iajs-3099	174	24	bayes	bayes	NOUN
iajs-3099	174	25	estimator	estimator	NOUN
iajs-3099	174	26	of	of	ADP
iajs-3099	174	27	scale	scale	NOUN
iajs-3099	174	28	parameter	parameter	NOUN
iajs-3099	174	29	using	use	VERB
iajs-3099	174	30	the	the	DET
iajs-3099	174	31	inverse	inverse	NOUN
iajs-3099	174	32	gamma	gamma	NOUN
iajs-3099	174	33	as	as	ADP
iajs-3099	174	34	prior	prior	ADJ
iajs-3099	174	35	distribution	distribution	NOUN
iajs-3099	174	36	by	by	ADP
iajs-3099	174	37	using	use	VERB
iajs-3099	174	38	the	the	DET
iajs-3099	174	39	posterior	posterior	ADJ
iajs-3099	174	40	density	density	NOUN
iajs-3099	174	41	using	use	VERB
iajs-3099	174	42	the	the	DET
iajs-3099	174	43	inverse	inverse	NOUN
iajs-3099	174	44	gamma	gamma	NOUN
iajs-3099	174	45	distribution	distribution	NOUN
iajs-3099	174	46	,	,	PUNCT
iajs-3099	174	47	we	we	PRON
iajs-3099	174	48	can	can	AUX
iajs-3099	174	49	derive	derive	VERB
iajs-3099	174	50	bayes	bayes	PROPN
iajs-3099	174	51	estimator	estimator	NOUN
iajs-3099	174	52	for	for	ADP
iajs-3099	174	53			PROPN
iajs-3099	174	54	based	base	VERB
iajs-3099	174	55	on	on	ADP
iajs-3099	174	56	general	general	ADJ
iajs-3099	174	57	entropy	entropy	NOUN
iajs-3099	174	58	loss	loss	NOUN
iajs-3099	174	59	function	function	NOUN
iajs-3099	174	60	(	(	PUNCT
iajs-3099	174	61	gelf	gelf	NOUN
iajs-3099	174	62	)	)	PUNCT
iajs-3099	174	63	,	,	PUNCT
iajs-3099	174	64	by	by	ADP
iajs-3099	174	65	substituting	substitute	VERB
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iajs-3099	176	9			PROPN
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iajs-3099	176	11			NOUN
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iajs-3099	181	40			VERB
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iajs-3099	181	47			PROPN
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iajs-3099	181	53	the	the	DET
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iajs-3099	184	4			NOUN
iajs-3099	184	5			PROPN
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iajs-3099	184	7			NUM
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iajs-3099	184	45			PROPN
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iajs-3099	184	50	loss	loss	NOUN
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iajs-3099	184	60	26	26	NUM
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iajs-3099	185	10	)	)	PUNCT
iajs-3099	185	11	^	^	PUNCT
iajs-3099	185	12			NUM
iajs-3099	185	13			VERB
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iajs-3099	185	15			PROPN
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iajs-3099	185	67			PROPN
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iajs-3099	186	98			PROPN
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iajs-3099	190	43	c	c	X
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iajs-3099	190	55			VERB
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iajs-3099	190	57			PROPN
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iajs-3099	191	4	for	for	ADP
iajs-3099	191	5			PROPN
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iajs-3099	191	15	t(γ	t(γ	PROPN
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iajs-3099	191	19	[	[	PUNCT
iajs-3099	191	20	c	c	NOUN
iajs-3099	191	21	1	1	NUM
iajs-3099	191	22	i	i	NOUN
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iajs-3099	191	32	c	c	NOUN
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iajs-3099	191	34	2	2	NUM
iajs-3099	191	35	υ	υ	PRON
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iajs-3099	191	37			PROPN
iajs-3099	191	38			PROPN
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iajs-3099	191	40			NUM
iajs-3099	191	41			ADJ
iajs-3099	191	42			PROPN
iajs-3099	191	43			PROPN
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iajs-3099	191	45	bayes	bayes	PROPN
iajs-3099	191	46	estimator	estimator	NOUN
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iajs-3099	191	48	scale	scale	NOUN
iajs-3099	191	49	parameter	parameter	NOUN
iajs-3099	191	50	using	use	VERB
iajs-3099	191	51	the	the	DET
iajs-3099	191	52	standard	standard	ADJ
iajs-3099	191	53	levy	levy	NOUN
iajs-3099	191	54	as	as	ADP
iajs-3099	191	55	prior	prior	ADJ
iajs-3099	191	56	distribution	distribution	NOUN
iajs-3099	191	57	by	by	ADP
iajs-3099	191	58	using	use	VERB
iajs-3099	191	59	the	the	DET
iajs-3099	191	60	posterior	posterior	ADJ
iajs-3099	191	61	density	density	NOUN
iajs-3099	191	62	using	use	VERB
iajs-3099	191	63	the	the	DET
iajs-3099	191	64	standard	standard	ADJ
iajs-3099	191	65	levy	levy	NOUN
iajs-3099	191	66	distribution	distribution	NOUN
iajs-3099	191	67	,	,	PUNCT
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iajs-3099	191	69	can	can	AUX
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iajs-3099	191	71	bayes	bayes	PROPN
iajs-3099	191	72	estimator	estimator	NOUN
iajs-3099	191	73	for	for	ADP
iajs-3099	191	74			PROPN
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iajs-3099	191	76	on	on	ADP
iajs-3099	191	77	general	general	ADJ
iajs-3099	191	78	entropy	entropy	NOUN
iajs-3099	191	79	loss	loss	NOUN
iajs-3099	191	80	function	function	NOUN
iajs-3099	191	81	(	(	PUNCT
iajs-3099	191	82	gelf	gelf	NOUN
iajs-3099	191	83	)	)	PUNCT
iajs-3099	191	84	,	,	PUNCT
iajs-3099	191	85	by	by	ADP
iajs-3099	191	86	substituting	substitute	VERB
iajs-3099	191	87	equation	equation	NOUN
iajs-3099	191	88	(	(	PUNCT
iajs-3099	191	89	31	31	NUM
iajs-3099	191	90	)	)	PUNCT
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iajs-3099	191	92	equation	equation	NOUN
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iajs-3099	192	9	)	)	PUNCT
iajs-3099	192	10	^	^	PUNCT
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iajs-3099	192	14			PROPN
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iajs-3099	192	20	1i	1i	NUM
iajs-3099	192	21	1	1	NUM
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iajs-3099	192	27	(	(	PUNCT
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iajs-3099	194	4	)	)	PUNCT
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iajs-3099	194	7	t	t	PROPN
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iajs-3099	194	35			NUM
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iajs-3099	196	4	)	)	PUNCT
iajs-3099	196	5	2	2	NUM
iajs-3099	196	6	κ	κ	PRON
iajs-3099	196	7	t	t	PROPN
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iajs-3099	196	9	1	1	NUM
iajs-3099	196	10	exp	exp	NOUN
iajs-3099	196	11	(	(	PUNCT
iajs-3099	196	12	γ	γ	X
iajs-3099	196	13	(	(	PUNCT
iajs-3099	196	14	)	)	PUNCT
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iajs-3099	196	22	1	1	NUM
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iajs-3099	196	30			PROPN
iajs-3099	196	31			PROPN
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iajs-3099	196	35			NOUN
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iajs-3099	196	37			ADV
iajs-3099	196	38			ADV
iajs-3099	196	39			PUNCT
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iajs-3099	196	48	d	d	X
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iajs-3099	196	50	)	)	PUNCT
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iajs-3099	196	52	κ	κ	PRON
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iajs-3099	196	68	i	i	NOUN
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iajs-3099	196	70	1i	1i	NOUN
iajs-3099	196	71	1)c	1)c	NUM
iajs-3099	196	72	)	)	PUNCT
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iajs-3099	196	74	1	1	NUM
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iajs-3099	196	84	)	)	PUNCT
iajs-3099	196	85	)	)	PUNCT
iajs-3099	196	86	2	2	NUM
iajs-3099	196	87	1	1	NUM
iajs-3099	196	88	nη	nη	ADP
iajs-3099	196	89	c	c	NOUN
iajs-3099	196	90	-	-	PUNCT
iajs-3099	196	91	c	c	NOUN
iajs-3099	196	92	)	)	PUNCT
iajs-3099	196	93	2	2	NUM
iajs-3099	196	94	1	1	NUM
iajs-3099	196	95	(	(	PUNCT
iajs-3099	196	96	nη	nη	PROPN
iajs-3099	196	97	^	^	PUNCT
iajs-3099	196	98			PROPN
iajs-3099	196	99			PROPN
iajs-3099	196	100			PROPN
iajs-3099	196	101			PROPN
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iajs-3099	196	103			NOUN
iajs-3099	196	104			PROPN
iajs-3099	196	105			ADJ
iajs-3099	196	106			ADJ
iajs-3099	196	107			PUNCT
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iajs-3099	196	109			PROPN
iajs-3099	196	110			PROPN
iajs-3099	196	111			PROPN
iajs-3099	196	112	by	by	ADP
iajs-3099	196	113	multiplying	multiply	VERB
iajs-3099	196	114	the	the	DET
iajs-3099	196	115	integral	integral	ADJ
iajs-3099	196	116	in	in	ADP
iajs-3099	196	117	equation	equation	NOUN
iajs-3099	196	118	(	(	PUNCT
iajs-3099	196	119	43	43	NUM
iajs-3099	196	120	)	)	PUNCT
iajs-3099	196	121	by	by	ADP
iajs-3099	196	122	the	the	DET
iajs-3099	196	123	quantity	quantity	NOUN
iajs-3099	196	124	which	which	PRON
iajs-3099	196	125	equals	equal	VERB
iajs-3099	196	126	to	to	ADP
iajs-3099	196	127	)	)	PUNCT
iajs-3099	196	128	)	)	PUNCT
iajs-3099	197	1	γ	γ	X
iajs-3099	197	2	(	(	PUNCT
iajs-3099	197	3	)	)	PUNCT
iajs-3099	197	4	γ	γ	X
iajs-3099	197	5	(	(	PUNCT
iajs-3099	197	6	(	(	PUNCT
iajs-3099	197	7	c	c	NOUN
iajs-3099	197	8	2	2	NUM
iajs-3099	197	9	1	1	NUM
iajs-3099	197	10	nη	nη	ADP
iajs-3099	197	11	c	c	NOUN
iajs-3099	197	12	2	2	NUM
iajs-3099	197	13	1	1	NUM
iajs-3099	197	14	nη	nη	ADP
iajs-3099	197	15			PROPN
iajs-3099	197	16			PROPN
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iajs-3099	197	18	where	where	SCONJ
iajs-3099	197	19	)	)	PUNCT
iajs-3099	197	20	γ	γ	X
iajs-3099	197	21	(	(	PUNCT
iajs-3099	197	22	.	.	PUNCT
iajs-3099	197	23	is	be	AUX
iajs-3099	197	24	a	a	DET
iajs-3099	197	25	gamma	gamma	NOUN
iajs-3099	197	26	function	function	NOUN
iajs-3099	197	27	.after	.after	PUNCT
iajs-3099	198	1	some	some	DET
iajs-3099	198	2	simplification	simplification	NOUN
iajs-3099	198	3	,	,	PUNCT
iajs-3099	198	4	it	it	PRON
iajs-3099	198	5	yields	yield	VERB
iajs-3099	198	6	(	(	PUNCT
iajs-3099	198	7	44	44	NUM
iajs-3099	198	8	)	)	PUNCT
iajs-3099	198	9	)	)	PUNCT
iajs-3099	199	1	]	]	X
iajs-3099	199	2	b4(t	b4(t	NUM
iajs-3099	199	3	,	,	PUNCT
iajs-3099	199	4	)	)	PUNCT
iajs-3099	199	5	2	2	NUM
iajs-3099	199	6	κ	κ	ADP
iajs-3099	199	7	t(γ	t(γ	PROPN
iajs-3099	199	8	(	(	PUNCT
iajs-3099	199	9	γ	γ	X
iajs-3099	199	10	(	(	PUNCT
iajs-3099	199	11	[	[	PUNCT
iajs-3099	199	12	c	c	NOUN
iajs-3099	199	13	1	1	NUM
iajs-3099	199	14	i	i	NOUN
iajs-3099	199	15	n	n	VERB
iajs-3099	199	16	1i	1i	NUM
iajs-3099	199	17	gelf(4	gelf(4	PROPN
iajs-3099	199	18	)	)	PUNCT
iajs-3099	199	19	c	c	NOUN
iajs-3099	199	20	)	)	PUNCT
iajs-3099	199	21	2	2	NUM
iajs-3099	199	22	1	1	NUM
iajs-3099	199	23	nη	nη	ADP
iajs-3099	199	24	c	c	NOUN
iajs-3099	199	25	)	)	PUNCT
iajs-3099	199	26	2	2	NUM
iajs-3099	199	27	1	1	NUM
iajs-3099	199	28	nη^	nη^	ADJ
iajs-3099	199	29			NOUN
iajs-3099	199	30			PROPN
iajs-3099	199	31			PROPN
iajs-3099	199	32			NUM
iajs-3099	199	33			ADJ
iajs-3099	199	34			PROPN
iajs-3099	199	35			PROPN
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iajs-3099	199	37	1d	1d	NUM
iajs-3099	199	38	)	)	PUNCT
iajs-3099	199	39	)	)	PUNCT
iajs-3099	199	40	2	2	NUM
iajs-3099	199	41	κ	κ	PRON
iajs-3099	199	42	t	t	PROPN
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iajs-3099	199	44	1	1	NUM
iajs-3099	199	45	exp	exp	NOUN
iajs-3099	199	46	(	(	PUNCT
iajs-3099	199	47	γ	γ	X
iajs-3099	199	48	(	(	PUNCT
iajs-3099	199	49	)	)	PUNCT
iajs-3099	199	50	2	2	NUM
iajs-3099	199	51	κ	κ	PRON
iajs-3099	199	52	t	t	PROPN
iajs-3099	199	53	(	(	PUNCT
iajs-3099	199	54	)	)	PUNCT
iajs-3099	199	55	b4(t	b4(t	NUM
iajs-3099	199	56	,	,	PUNCT
iajs-3099	199	57	i	i	PRON
iajs-3099	199	58	n	n	PROPN
iajs-3099	199	59	1i	1i	NUM
iajs-3099	199	60	1)c	1)c	NUM
iajs-3099	199	61	)	)	PUNCT
iajs-3099	199	62	2	2	NUM
iajs-3099	199	63	1	1	NUM
iajs-3099	199	64	(	(	PUNCT
iajs-3099	199	65	(	(	PUNCT
iajs-3099	199	66	nη	nη	X
iajs-3099	199	67	-	-	PUNCT
iajs-3099	199	68	i	i	PRON
iajs-3099	199	69	n	n	NOUN
iajs-3099	199	70	1i	1i	NOUN
iajs-3099	199	71	0	0	PUNCT
iajs-3099	199	72	c	c	X
iajs-3099	199	73	)	)	PUNCT
iajs-3099	199	74	2	2	NUM
iajs-3099	199	75	1	1	NUM
iajs-3099	199	76	nη	nη	ADP
iajs-3099	199	77	c	c	NOUN
iajs-3099	199	78	)	)	PUNCT
iajs-3099	199	79	2	2	NUM
iajs-3099	199	80	1	1	NUM
iajs-3099	199	81	(	(	PUNCT
iajs-3099	199	82	nη	nη	NUM
iajs-3099	199	83			PROPN
iajs-3099	199	84			VERB
iajs-3099	199	85			PROPN
iajs-3099	199	86			PROPN
iajs-3099	199	87			PROPN
iajs-3099	199	88			PROPN
iajs-3099	199	89			PROPN
iajs-3099	199	90			PROPN
iajs-3099	199	91			PUNCT
iajs-3099	199	92			ADJ
iajs-3099	199	93			PROPN
iajs-3099	199	94			PROPN
iajs-3099	199	95			PROPN
iajs-3099	199	96	is	be	AUX
iajs-3099	199	97	the	the	DET
iajs-3099	199	98	integral	integral	ADJ
iajs-3099	199	99	of	of	ADP
iajs-3099	199	100	the	the	DET
iajs-3099	199	101	pdf	pdf	NOUN
iajs-3099	199	102	of	of	ADP
iajs-3099	199	103	inverse	inverse	NOUN
iajs-3099	199	104	gamma	gamma	NOUN
iajs-3099	199	105	distribution	distribution	NOUN
iajs-3099	199	106	[	[	X
iajs-3099	199	107	13	13	NUM
iajs-3099	199	108	]	]	PUNCT
iajs-3099	199	109	.so	.so	PUNCT
iajs-3099	199	110	the	the	DET
iajs-3099	199	111	bayes	bayes	PROPN
iajs-3099	199	112	estimator	estimator	NOUN
iajs-3099	199	113	for	for	ADP
iajs-3099	199	114			PROPN
iajs-3099	199	115	will	will	AUX
iajs-3099	199	116	be	be	AUX
iajs-3099	199	117	ihjpas	ihjpa	VERB
iajs-3099	199	118	.	.	PUNCT
iajs-3099	200	1	36	36	NUM
iajs-3099	200	2	(	(	PUNCT
iajs-3099	200	3	3	3	NUM
iajs-3099	200	4	)	)	PUNCT
iajs-3099	200	5	2023	2023	NUM
iajs-3099	200	6	343	343	NUM
iajs-3099	200	7	(	(	PUNCT
iajs-3099	200	8	45	45	NUM
iajs-3099	200	9	)	)	PUNCT
iajs-3099	200	10	]	]	PUNCT
iajs-3099	200	11	)	)	PUNCT
iajs-3099	200	12	2	2	NUM
iajs-3099	200	13	κ	κ	ADP
iajs-3099	200	14	t(γ	t(γ	PROPN
iajs-3099	200	15	(	(	PUNCT
iajs-3099	200	16	γ	γ	X
iajs-3099	200	17	(	(	PUNCT
iajs-3099	200	18	[	[	PUNCT
iajs-3099	200	19	c	c	NOUN
iajs-3099	200	20	1	1	NUM
iajs-3099	200	21	i	i	NOUN
iajs-3099	200	22	n	n	VERB
iajs-3099	200	23	1i	1i	NUM
iajs-3099	200	24	gelf(4	gelf(4	PROPN
iajs-3099	200	25	)	)	PUNCT
iajs-3099	200	26	c	c	NOUN
iajs-3099	200	27	)	)	PUNCT
iajs-3099	200	28	2	2	NUM
iajs-3099	200	29	1	1	NUM
iajs-3099	200	30	nη	nη	ADP
iajs-3099	200	31	c	c	NOUN
iajs-3099	200	32	)	)	PUNCT
iajs-3099	200	33	2	2	NUM
iajs-3099	200	34	1	1	NUM
iajs-3099	200	35	nη^	nη^	ADJ
iajs-3099	200	36			NOUN
iajs-3099	200	37			PROPN
iajs-3099	200	38			PROPN
iajs-3099	200	39			NUM
iajs-3099	200	40			ADJ
iajs-3099	200	41			ADJ
iajs-3099	200	42			PROPN
iajs-3099	200	43	5	5	NUM
iajs-3099	200	44	.	.	PUNCT
iajs-3099	200	45	simulation	simulation	NOUN
iajs-3099	200	46	and	and	CCONJ
iajs-3099	200	47	discussion	discussion	NOUN
iajs-3099	200	48	the	the	DET
iajs-3099	200	49	simulation	simulation	NOUN
iajs-3099	200	50	method	method	NOUN
iajs-3099	200	51	was	be	AUX
iajs-3099	200	52	conducted	conduct	VERB
iajs-3099	200	53	by	by	ADP
iajs-3099	200	54	using	use	VERB
iajs-3099	200	55	matlab	matlab	PROPN
iajs-3099	200	56	-	-	PUNCT
iajs-3099	200	57	r2018a	r2018a	NOUN
iajs-3099	200	58	program	program	NOUN
iajs-3099	200	59	,	,	PUNCT
iajs-3099	200	60	under	under	ADP
iajs-3099	200	61	5000	5000	NUM
iajs-3099	200	62	replications	replication	NOUN
iajs-3099	200	63	is	be	AUX
iajs-3099	200	64	assumed	assume	VERB
iajs-3099	200	65	,	,	PUNCT
iajs-3099	200	66	we	we	PRON
iajs-3099	200	67	generated	generate	VERB
iajs-3099	200	68	different	different	ADJ
iajs-3099	200	69	random	random	ADJ
iajs-3099	200	70	samples	sample	NOUN
iajs-3099	200	71	of	of	ADP
iajs-3099	200	72	sizes	size	NOUN
iajs-3099	200	73	n	n	NOUN
iajs-3099	200	74	=	=	SYM
iajs-3099	200	75	(	(	PUNCT
iajs-3099	200	76	15	15	NUM
iajs-3099	200	77	,	,	PUNCT
iajs-3099	200	78	25	25	NUM
iajs-3099	200	79	,	,	PUNCT
iajs-3099	200	80	50	50	NUM
iajs-3099	200	81	)	)	PUNCT
iajs-3099	200	82	from	from	ADP
iajs-3099	200	83	erlang	erlang	NOUN
iajs-3099	200	84	distribution	distribution	NOUN
iajs-3099	200	85	with	with	ADP
iajs-3099	200	86	parameters	parameter	NOUN
iajs-3099	200	87	)	)	PUNCT
iajs-3099	200	88	,	,	PUNCT
iajs-3099	200	89	η	η	PROPN
iajs-3099	200	90	(	(	PUNCT
iajs-3099	200	91			ADJ
iajs-3099	200	92	using	use	VERB
iajs-3099	200	93	the	the	DET
iajs-3099	200	94	sum	sum	NOUN
iajs-3099	200	95	of	of	ADP
iajs-3099	200	96	identical	identical	ADJ
iajs-3099	200	97	independent	independent	ADJ
iajs-3099	200	98	distribution	distribution	NOUN
iajs-3099	200	99	from	from	ADP
iajs-3099	200	100	exponential	exponential	NOUN
iajs-3099	200	101	with	with	ADP
iajs-3099	200	102	parameter	parameter	NOUN
iajs-3099	200	103	)	)	PUNCT
iajs-3099	200	104	(	(	PUNCT
iajs-3099	200	105			PROPN
iajs-3099	200	106	.	.	PUNCT
iajs-3099	201	1	i.e.	i.e.	X
iajs-3099	201	2	we	we	PRON
iajs-3099	201	3	generated	generate	VERB
iajs-3099	201	4	η	η	PROPN
iajs-3099	201	5	numbers	number	NOUN
iajs-3099	201	6	ηi2i1i	ηi2i1i	ADP
iajs-3099	201	7	u,	u,	NOUN
iajs-3099	201	8	...	...	PUNCT
iajs-3099	201	9	,u	,u	PUNCT
iajs-3099	201	10	,	,	PUNCT
iajs-3099	201	11	u	u	NOUN
iajs-3099	201	12	random	random	ADJ
iajs-3099	201	13	samples	sample	NOUN
iajs-3099	201	14	of	of	ADP
iajs-3099	201	15	sizes	size	NOUN
iajs-3099	201	16	(	(	PUNCT
iajs-3099	201	17	n	n	CCONJ
iajs-3099	201	18	)	)	PUNCT
iajs-3099	201	19	from	from	ADP
iajs-3099	201	20	exponential	exponential	ADJ
iajs-3099	201	21	distribution	distribution	NOUN
iajs-3099	201	22	with	with	ADP
iajs-3099	201	23	parameter	parameter	NOUN
iajs-3099	201	24	)	)	PUNCT
iajs-3099	201	25	(	(	PUNCT
iajs-3099	201	26			PROPN
iajs-3099	201	27	,	,	PUNCT
iajs-3099	201	28	then	then	ADV
iajs-3099	201	29	add	add	VERB
iajs-3099	201	30	them	they	PRON
iajs-3099	201	31	)	)	PUNCT
iajs-3099	202	1	u	u	NOUN
iajs-3099	202	2	...	...	PUNCT
iajs-3099	202	3	uu	uu	PROPN
iajs-3099	203	1	t	t	PROPN
iajs-3099	203	2	(	(	PUNCT
iajs-3099	203	3	ηi2i1ii	ηi2i1ii	PRON
iajs-3099	203	4			NOUN
iajs-3099	203	5	to	to	PART
iajs-3099	203	6	obtain	obtain	VERB
iajs-3099	203	7	random	random	ADJ
iajs-3099	203	8	sample	sample	NOUN
iajs-3099	203	9	of	of	ADP
iajs-3099	203	10	size	size	NOUN
iajs-3099	203	11	(	(	PUNCT
iajs-3099	203	12	n	n	CCONJ
iajs-3099	203	13	)	)	PUNCT
iajs-3099	203	14	from	from	ADP
iajs-3099	203	15	erlang	erlang	NOUN
iajs-3099	203	16	distribution	distribution	NOUN
iajs-3099	203	17	with	with	ADP
iajs-3099	203	18	parameters	parameter	NOUN
iajs-3099	203	19	)	)	PUNCT
iajs-3099	203	20	,	,	PUNCT
iajs-3099	203	21	η	η	PROPN
iajs-3099	203	22	(	(	PUNCT
iajs-3099	203	23			PROPN
iajs-3099	203	24	.in	.in	PUNCT
iajs-3099	203	25	the	the	DET
iajs-3099	203	26	same	same	ADJ
iajs-3099	203	27	way	way	NOUN
iajs-3099	203	28	,	,	PUNCT
iajs-3099	203	29	we	we	PRON
iajs-3099	203	30	generated	generate	VERB
iajs-3099	203	31	different	different	ADJ
iajs-3099	203	32	cases	case	NOUN
iajs-3099	203	33	for	for	ADP
iajs-3099	203	34	the	the	DET
iajs-3099	203	35	parameters	parameter	NOUN
iajs-3099	203	36	)	)	PUNCT
iajs-3099	203	37	,	,	PUNCT
iajs-3099	203	38	η	η	PROPN
iajs-3099	203	39	(	(	PUNCT
iajs-3099	203	40			PROPN
iajs-3099	203	41	of	of	ADP
iajs-3099	203	42	the	the	DET
iajs-3099	203	43	erlang	erlang	PROPN
iajs-3099	203	44	model	model	NOUN
iajs-3099	203	45	have	have	AUX
iajs-3099	203	46	been	be	AUX
iajs-3099	203	47	represented	represent	VERB
iajs-3099	203	48	by	by	ADP
iajs-3099	203	49	)	)	PUNCT
iajs-3099	203	50	7,5(),3,5(),3,3(),3,2	7,5(),3,5(),3,3(),3,2	NUM
iajs-3099	203	51	(	(	PUNCT
iajs-3099	203	52	)	)	PUNCT
iajs-3099	203	53	,	,	PUNCT
iajs-3099	203	54	η	η	PROPN
iajs-3099	203	55	(	(	PUNCT
iajs-3099	203	56			X
iajs-3099	203	57	with	with	ADP
iajs-3099	203	58	selected	select	VERB
iajs-3099	203	59	different	different	ADJ
iajs-3099	203	60	values	value	NOUN
iajs-3099	203	61	for	for	ADP
iajs-3099	203	62	the	the	DET
iajs-3099	203	63	hyper	hyper	ADJ
iajs-3099	203	64	parameters	parameter	NOUN
iajs-3099	203	65	υb),(a	υb),(a	VERB
iajs-3099	203	66	,	,	PUNCT
iajs-3099	203	67	,	,	PUNCT
iajs-3099	203	68	ω	ω	PROPN
iajs-3099	203	69	and	and	CCONJ
iajs-3099	203	70	κ	κ	PROPN
iajs-3099	203	71	are	be	AUX
iajs-3099	203	72	known	know	VERB
iajs-3099	203	73	of	of	ADP
iajs-3099	203	74	the	the	DET
iajs-3099	203	75	prior	prior	ADJ
iajs-3099	203	76	distributions	distribution	NOUN
iajs-3099	203	77	as	as	ADP
iajs-3099	203	78			NOUN
iajs-3099	203	79	for	for	ADP
iajs-3099	203	80	inverse	inverse	ADJ
iajs-3099	203	81	exponential	exponential	NOUN
iajs-3099	203	82	prior	prior	ADV
iajs-3099	203	83	with	with	ADP
iajs-3099	203	84	)	)	PUNCT
iajs-3099	203	85	5.0(ω	5.0(ω	NUM
iajs-3099	203	86			NOUN
iajs-3099	203	87	.	.	PUNCT
iajs-3099	204	1			NOUN
iajs-3099	204	2	for	for	ADP
iajs-3099	204	3	the	the	DET
iajs-3099	204	4	inverse	inverse	NOUN
iajs-3099	204	5	gamma	gamma	NOUN
iajs-3099	204	6	prior	prior	ADV
iajs-3099	204	7	with	with	ADP
iajs-3099	204	8	)	)	PUNCT
iajs-3099	204	9	2b,3a	2b,3a	NUM
iajs-3099	204	10	(	(	PUNCT
iajs-3099	204	11			NUM
iajs-3099	204	12	.	.	PUNCT
iajs-3099	205	1			NOUN
iajs-3099	205	2	for	for	ADP
iajs-3099	205	3	the	the	DET
iajs-3099	205	4	inverse	inverse	ADJ
iajs-3099	205	5	chi	chi	NOUN
iajs-3099	205	6	-	-	PUNCT
iajs-3099	205	7	square	square	NOUN
iajs-3099	205	8	prior	prior	ADV
iajs-3099	205	9	with	with	ADP
iajs-3099	205	10	)	)	PUNCT
iajs-3099	205	11	5	5	NUM
iajs-3099	205	12	υ	υ	NOUN
iajs-3099	205	13	(	(	PUNCT
iajs-3099	205	14			NOUN
iajs-3099	205	15	.	.	PUNCT
iajs-3099	206	1			X
iajs-3099	206	2	for	for	ADP
iajs-3099	206	3	the	the	DET
iajs-3099	206	4	standard	standard	ADJ
iajs-3099	206	5	levy	levy	NOUN
iajs-3099	206	6	prior	prior	ADV
iajs-3099	206	7	with	with	ADP
iajs-3099	206	8	)	)	PUNCT
iajs-3099	206	9	5.1	5.1	NUM
iajs-3099	206	10	(	(	PUNCT
iajs-3099	206	11			PROPN
iajs-3099	206	12	.	.	PUNCT
iajs-3099	207	1	we	we	PRON
iajs-3099	207	2	compared	compare	VERB
iajs-3099	207	3	the	the	DET
iajs-3099	207	4	behavior	behavior	NOUN
iajs-3099	207	5	of	of	ADP
iajs-3099	207	6	the	the	DET
iajs-3099	207	7	bayes	bayes	PROPN
iajs-3099	207	8	estimates	estimate	NOUN
iajs-3099	207	9	of	of	ADP
iajs-3099	207	10	scale	scale	NOUN
iajs-3099	207	11	parameter	parameter	NOUN
iajs-3099	207	12			PROPN
iajs-3099	207	13	for	for	ADP
iajs-3099	207	14	the	the	DET
iajs-3099	207	15	erlang	erlang	PROPN
iajs-3099	207	16	distribution	distribution	NOUN
iajs-3099	207	17	according	accord	VERB
iajs-3099	207	18	to	to	ADP
iajs-3099	207	19	their	their	PRON
iajs-3099	207	20	mean	mean	ADJ
iajs-3099	207	21	square	square	ADJ
iajs-3099	207	22	error	error	NOUN
iajs-3099	207	23	(	(	PUNCT
iajs-3099	207	24	mse	mse	NOUN
iajs-3099	207	25	)	)	PUNCT
iajs-3099	207	26	which	which	PRON
iajs-3099	207	27	has	have	AUX
iajs-3099	207	28	been	be	AUX
iajs-3099	207	29	computed	compute	VERB
iajs-3099	207	30	as	as	ADP
iajs-3099	207	31	)	)	PUNCT
iajs-3099	207	32	(	(	PUNCT
iajs-3099	207	33	46	46	NUM
iajs-3099	207	34	)	)	PUNCT
iajs-3099	207	35	)	)	PUNCT
iajs-3099	208	1	r	r	NOUN
iajs-3099	208	2	(	(	PUNCT
iajs-3099	208	3	(	(	PUNCT
iajs-3099	208	4	5000	5000	NUM
iajs-3099	208	5	1	1	NUM
iajs-3099	208	6	mse	mse	NOUN
iajs-3099	208	7	2	2	NUM
iajs-3099	208	8	^5000	^5000	NUM
iajs-3099	208	9	1r	1r	NUM
iajs-3099	208	10			NOUN
iajs-3099	208	11			NOUN
iajs-3099	208	12			ADJ
iajs-3099	208	13	under	under	ADP
iajs-3099	208	14	different	different	ADJ
iajs-3099	208	15	informative	informative	ADJ
iajs-3099	208	16	priors	prior	NOUN
iajs-3099	208	17	for	for	ADP
iajs-3099	208	18	unknown	unknown	ADJ
iajs-3099	208	19	scale	scale	NOUN
iajs-3099	208	20	parameter	parameter	PROPN
iajs-3099	208	21	based	base	VERB
iajs-3099	208	22	on	on	ADP
iajs-3099	208	23	general	general	ADJ
iajs-3099	208	24	entropy	entropy	NOUN
iajs-3099	208	25	loss	loss	NOUN
iajs-3099	208	26	function	function	NOUN
iajs-3099	208	27	.	.	PUNCT
iajs-3099	209	1	the	the	DET
iajs-3099	209	2	results	result	NOUN
iajs-3099	209	3	of	of	ADP
iajs-3099	209	4	simulation	simulation	NOUN
iajs-3099	209	5	summarized	summarize	VERB
iajs-3099	209	6	in	in	ADP
iajs-3099	209	7	tables	table	NOUN
iajs-3099	209	8	(	(	PUNCT
iajs-3099	209	9	1	1	NUM
iajs-3099	209	10	to	to	PART
iajs-3099	209	11	4	4	NUM
iajs-3099	209	12	)	)	PUNCT
iajs-3099	209	13	,	,	PUNCT
iajs-3099	209	14	including	include	VERB
iajs-3099	209	15	the	the	DET
iajs-3099	209	16	estimated	estimate	VERB
iajs-3099	209	17	values	value	NOUN
iajs-3099	209	18	)	)	PUNCT
iajs-3099	209	19	(	(	PUNCT
iajs-3099	209	20	^	^	PUNCT
iajs-3099	209	21			PROPN
iajs-3099	209	22	and	and	CCONJ
iajs-3099	209	23	their	their	PRON
iajs-3099	209	24	mean	mean	ADJ
iajs-3099	209	25	square	square	ADJ
iajs-3099	209	26	error	error	NOUN
iajs-3099	209	27	(	(	PUNCT
iajs-3099	209	28	mse	mse	NOUN
iajs-3099	209	29	)	)	PUNCT
iajs-3099	209	30	for	for	ADP
iajs-3099	209	31	parameter	parameter	NOUN
iajs-3099	209	32	)	)	PUNCT
iajs-3099	209	33	(	(	PUNCT
iajs-3099	209	34			PROPN
iajs-3099	209	35	of	of	ADP
iajs-3099	209	36	the	the	DET
iajs-3099	209	37	erlang	erlang	PROPN
iajs-3099	209	38	distribution	distribution	NOUN
iajs-3099	209	39	for	for	ADP
iajs-3099	209	40	different	different	ADJ
iajs-3099	209	41	values	value	NOUN
iajs-3099	209	42	of	of	ADP
iajs-3099	209	43	sample	sample	NOUN
iajs-3099	209	44	size(n	size(n	PROPN
iajs-3099	209	45	)	)	PUNCT
iajs-3099	209	46	and	and	CCONJ
iajs-3099	209	47			PROPN
iajs-3099	209	48	.	.	PUNCT
iajs-3099	210	1	the	the	DET
iajs-3099	210	2	best	good	ADJ
iajs-3099	210	3	bayes	bayes	NOUN
iajs-3099	210	4	estimates	estimate	NOUN
iajs-3099	210	5	)	)	PUNCT
iajs-3099	210	6	(	(	PUNCT
iajs-3099	210	7	^	^	PUNCT
iajs-3099	210	8			ADJ
iajs-3099	210	9	of	of	ADP
iajs-3099	210	10	scale	scale	NOUN
iajs-3099	210	11	parameter	parameter	NOUN
iajs-3099	210	12	)	)	PUNCT
iajs-3099	210	13	(	(	PUNCT
iajs-3099	210	14			PROPN
iajs-3099	210	15	would	would	AUX
iajs-3099	210	16	be	be	AUX
iajs-3099	210	17	under	under	ADP
iajs-3099	210	18	different	different	ADJ
iajs-3099	210	19	priors	prior	NOUN
iajs-3099	210	20	.	.	PUNCT
iajs-3099	211	1	ihjpas	ihjpas	PROPN
iajs-3099	211	2	.	.	PUNCT
iajs-3099	212	1	36	36	NUM
iajs-3099	212	2	(	(	PUNCT
iajs-3099	212	3	3	3	NUM
iajs-3099	212	4	)	)	PUNCT
iajs-3099	212	5	2023	2023	NUM
iajs-3099	212	6	344	344	NUM
iajs-3099	212	7	table	table	NOUN
iajs-3099	212	8	1	1	NUM
iajs-3099	212	9	:	:	PUNCT
iajs-3099	212	10	bayes	bayes	PROPN
iajs-3099	212	11	estimates	estimate	VERB
iajs-3099	212	12	)	)	PUNCT
iajs-3099	212	13	(	(	PUNCT
iajs-3099	212	14	^	^	PUNCT
iajs-3099	212	15			ADJ
iajs-3099	212	16	of	of	ADP
iajs-3099	212	17	scale	scale	NOUN
iajs-3099	212	18	parameter	parameter	NOUN
iajs-3099	212	19	)	)	PUNCT
iajs-3099	212	20	(	(	PUNCT
iajs-3099	212	21			PROPN
iajs-3099	212	22	and	and	CCONJ
iajs-3099	212	23	their	their	PRON
iajs-3099	212	24	mean	mean	ADJ
iajs-3099	212	25	square	square	ADJ
iajs-3099	212	26	error	error	NOUN
iajs-3099	212	27	(	(	PUNCT
iajs-3099	212	28	mse	mse	NOUN
iajs-3099	212	29	)	)	PUNCT
iajs-3099	212	30	of	of	ADP
iajs-3099	212	31	the	the	DET
iajs-3099	212	32	erlang	erlang	PROPN
iajs-3099	212	33	distribution	distribution	NOUN
iajs-3099	212	34	under	under	ADP
iajs-3099	212	35	invers	inver	NOUN
iajs-3099	212	36	exponential	exponential	NOUN
iajs-3099	212	37	prior	prior	ADV
iajs-3099	212	38	with	with	ADP
iajs-3099	212	39	)	)	PUNCT
iajs-3099	213	1	5.0(ω	5.0(ω	NUM
iajs-3099	213	2			NOUN
iajs-3099	213	3	based	base	VERB
iajs-3099	213	4	on	on	ADP
iajs-3099	213	5	general	general	ADJ
iajs-3099	213	6	entropy	entropy	NOUN
iajs-3099	213	7	loss	loss	NOUN
iajs-3099	213	8	function	function	NOUN
iajs-3099	213	9	.	.	PUNCT
iajs-3099	214	1	n	n	PRON
iajs-3099	214	2	c	c	NOUN
iajs-3099	214	3	)	)	PUNCT
iajs-3099	214	4	3	3	NUM
iajs-3099	214	5	2	2	NUM
iajs-3099	214	6	,	,	PUNCT
iajs-3099	214	7	η	η	X
iajs-3099	214	8	(	(	PUNCT
iajs-3099	214	9			NUM
iajs-3099	214	10			ADJ
iajs-3099	214	11	)	)	PUNCT
iajs-3099	214	12	3	3	NUM
iajs-3099	214	13	3	3	NUM
iajs-3099	214	14	,	,	PUNCT
iajs-3099	214	15	η	η	X
iajs-3099	214	16	(	(	PUNCT
iajs-3099	214	17			NUM
iajs-3099	214	18			PROPN
iajs-3099	214	19	)	)	PUNCT
iajs-3099	214	20	3	3	NUM
iajs-3099	214	21	5	5	NUM
iajs-3099	214	22	,	,	PUNCT
iajs-3099	214	23	η	η	X
iajs-3099	214	24	(	(	PUNCT
iajs-3099	214	25			NUM
iajs-3099	214	26			PROPN
iajs-3099	214	27	)	)	PUNCT
iajs-3099	214	28	7	7	NUM
iajs-3099	214	29	5	5	NUM
iajs-3099	214	30	,	,	PUNCT
iajs-3099	214	31	η	η	X
iajs-3099	214	32	(	(	PUNCT
iajs-3099	214	33			NUM
iajs-3099	214	34			ADJ
iajs-3099	214	35	^	^	SYM
iajs-3099	214	36			ADJ
iajs-3099	214	37	mse	mse	NOUN
iajs-3099	214	38	^	^	PUNCT
iajs-3099	214	39			PROPN
iajs-3099	214	40	mse	mse	NOUN
iajs-3099	214	41	^	^	PUNCT
iajs-3099	214	42			PROPN
iajs-3099	214	43	mse	mse	NOUN
iajs-3099	214	44	^	^	PUNCT
iajs-3099	214	45			PROPN
iajs-3099	214	46	mse	mse	PROPN
iajs-3099	214	47	15	15	NUM
iajs-3099	214	48	-1	-1	SYM
iajs-3099	214	49	1	1	NUM
iajs-3099	214	50	2	2	NUM
iajs-3099	214	51	3	3	NUM
iajs-3099	214	52	3.0190	3.0190	NUM
iajs-3099	214	53	2.9216	2.9216	NUM
iajs-3099	214	54	2.8756	2.8756	NUM
iajs-3099	214	55	2.8312	2.8312	NUM
iajs-3099	214	56	0.2987	0.2987	NUM
iajs-3099	214	57	0.2856	0.2856	NUM
iajs-3099	214	58	0.2862	0.2862	NUM
iajs-3099	214	59	0.2909	0.2909	NUM
iajs-3099	214	60	3.0080	3.0080	NUM
iajs-3099	214	61	2.9426	2.9426	NUM
iajs-3099	214	62	2.9111	2.9111	NUM
iajs-3099	214	63	2.8804	2.8804	NUM
iajs-3099	214	64	0.1987	0.1987	NUM
iajs-3099	214	65	0.1934	0.1934	NUM
iajs-3099	214	66	0.194	0.194	NUM
iajs-3099	214	67	0.1965	0.1965	NUM
iajs-3099	214	68	2.9992	2.9992	NUM
iajs-3099	214	69	2.9597	2.9597	NUM
iajs-3099	214	70	2.9405	2.9405	NUM
iajs-3099	214	71	2.9215	2.9215	NUM
iajs-3099	214	72	0.1223	0.1223	NUM
iajs-3099	214	73	0.1207	0.1207	NUM
iajs-3099	215	1	0.1211	0.1211	NUM
iajs-3099	215	2	0.1222	0.1222	NUM
iajs-3099	215	3	7.0126	7.0126	NUM
iajs-3099	215	4	6.9203	6.9203	NUM
iajs-3099	215	5	6.8752	6.8752	NUM
iajs-3099	215	6	6.8308	6.8308	NUM
iajs-3099	215	7	0.6494	0.6494	NUM
iajs-3099	215	8	0.6386	0.6386	NUM
iajs-3099	215	9	0.6397	0.6397	NUM
iajs-3099	215	10	0.6447	0.6447	NUM
iajs-3099	215	11	25	25	NUM
iajs-3099	215	12	-1	-1	SYM
iajs-3099	215	13	1	1	NUM
iajs-3099	215	14	2	2	NUM
iajs-3099	215	15	3	3	NUM
iajs-3099	215	16	3.0077	3.0077	NUM
iajs-3099	215	17	2.9487	2.9487	NUM
iajs-3099	215	18	2.9202	2.9202	NUM
iajs-3099	215	19	2.8923	2.8923	NUM
iajs-3099	215	20	0.1823	0.1823	NUM
iajs-3099	215	21	0.1778	0.1778	NUM
iajs-3099	215	22	0.1782	0.1782	NUM
iajs-3099	215	23	0.1801	0.1801	NUM
iajs-3099	215	24	3.0009	3.0009	NUM
iajs-3099	215	25	2.9614	2.9614	NUM
iajs-3099	215	26	2.9421	2.9421	NUM
iajs-3099	215	27	2.9231	2.9231	NUM
iajs-3099	215	28	0.1259	0.1259	NUM
iajs-3099	215	29	0.1241	0.1241	NUM
iajs-3099	215	30	0.1244	0.1244	NUM
iajs-3099	215	31	0.1254	0.1254	NUM
iajs-3099	215	32	3.0063	3.0063	NUM
iajs-3099	215	33	2.9824	2.9824	NUM
iajs-3099	215	34	2.9706	2.9706	NUM
iajs-3099	215	35	2.9590	2.9590	NUM
iajs-3099	215	36	0.0694	0.0694	NUM
iajs-3099	215	37	0.0686	0.0686	NUM
iajs-3099	215	38	0.0686	0.0686	NUM
iajs-3099	215	39	0.0689	0.0689	NUM
iajs-3099	215	40	7.0072	7.0072	NUM
iajs-3099	215	41	6.9516	6.9516	NUM
iajs-3099	215	42	6.9242	6.9242	NUM
iajs-3099	215	43	6.8970	6.8970	NUM
iajs-3099	215	44	0.3921	0.3921	NUM
iajs-3099	215	45	0.3882	0.3882	NUM
iajs-3099	215	46	0.3886	0.3886	NUM
iajs-3099	215	47	0.3904	0.3904	NUM
iajs-3099	215	48	50	50	NUM
iajs-3099	215	49	-1	-1	SYM
iajs-3099	215	50	1	1	NUM
iajs-3099	215	51	2	2	NUM
iajs-3099	215	52	3	3	NUM
iajs-3099	215	53	2.9963	2.9963	NUM
iajs-3099	215	54	2.9666	2.9666	NUM
iajs-3099	215	55	2.9520	2.9520	NUM
iajs-3099	215	56	2.9376	2.9376	NUM
iajs-3099	215	57	0.0872	0.0872	NUM
iajs-3099	215	58	0.0866	0.0866	NUM
iajs-3099	215	59	0.0870	0.0870	NUM
iajs-3099	215	60	0.0877	0.0877	NUM
iajs-3099	215	61	2.9999	2.9999	NUM
iajs-3099	215	62	2.9800	2.9800	NUM
iajs-3099	215	63	2.9702	2.9702	NUM
iajs-3099	215	64	2.9604	2.9604	NUM
iajs-3099	215	65	0.0607	0.0607	NUM
iajs-3099	215	66	0.0603	0.0603	NUM
iajs-3099	215	67	0.0604	0.0604	NUM
iajs-3099	215	68	0.0607	0.0607	NUM
iajs-3099	215	69			NOUN
iajs-3099	215	70			VERB
iajs-3099	215	71			NOUN
iajs-3099	215	72			NOUN
iajs-3099	215	73			NOUN
iajs-3099	215	74			NOUN
iajs-3099	215	75			NOUN
iajs-3099	215	76			NOUN
iajs-3099	215	77			NOUN
iajs-3099	215	78			NOUN
iajs-3099	215	79			NOUN
iajs-3099	215	80			NOUN
iajs-3099	215	81			NOUN
iajs-3099	215	82			NOUN
iajs-3099	215	83			NOUN
iajs-3099	215	84			NOUN
iajs-3099	215	85	note.1	note.1	NOUN
iajs-3099	215	86	:	:	PUNCT
iajs-3099	215	87	the	the	DET
iajs-3099	215	88	shadow	shadow	NOUN
iajs-3099	215	89	cells	cell	NOUN
iajs-3099	215	90	represent	represent	VERB
iajs-3099	215	91	the	the	DET
iajs-3099	215	92	smallest	small	ADJ
iajs-3099	215	93	value	value	NOUN
iajs-3099	215	94	of	of	ADP
iajs-3099	215	95	mse	mse	PROPN
iajs-3099	215	96	.	.	PUNCT
iajs-3099	215	97	table	table	NOUN
iajs-3099	215	98	2	2	NUM
iajs-3099	215	99	:	:	PUNCT
iajs-3099	215	100	bayes	bayes	PROPN
iajs-3099	215	101	estimates	estimate	VERB
iajs-3099	215	102	)	)	PUNCT
iajs-3099	215	103	(	(	PUNCT
iajs-3099	215	104	^	^	PUNCT
iajs-3099	215	105			ADJ
iajs-3099	215	106	of	of	ADP
iajs-3099	215	107	scale	scale	NOUN
iajs-3099	215	108	parameter	parameter	NOUN
iajs-3099	215	109	)	)	PUNCT
iajs-3099	215	110	(	(	PUNCT
iajs-3099	215	111			PROPN
iajs-3099	215	112	and	and	CCONJ
iajs-3099	215	113	their	their	PRON
iajs-3099	215	114	mean	mean	ADJ
iajs-3099	215	115	square	square	ADJ
iajs-3099	215	116	error	error	NOUN
iajs-3099	215	117	(	(	PUNCT
iajs-3099	215	118	mse	mse	NOUN
iajs-3099	215	119	)	)	PUNCT
iajs-3099	215	120	of	of	ADP
iajs-3099	215	121	the	the	DET
iajs-3099	215	122	erlang	erlang	PROPN
iajs-3099	215	123	distribution	distribution	NOUN
iajs-3099	215	124	under	under	ADP
iajs-3099	215	125	invers	inver	NOUN
iajs-3099	215	126	gamma	gamma	PROPN
iajs-3099	215	127	prior	prior	ADV
iajs-3099	215	128	with	with	ADP
iajs-3099	215	129	2)b3,(a	2)b3,(a	NUM
iajs-3099	215	130			NUM
iajs-3099	215	131	based	base	VERB
iajs-3099	215	132	on	on	ADP
iajs-3099	215	133	general	general	ADJ
iajs-3099	215	134	entropy	entropy	NOUN
iajs-3099	215	135	loss	loss	NOUN
iajs-3099	215	136	function	function	NOUN
iajs-3099	215	137	.	.	PUNCT
iajs-3099	216	1	n	n	PRON
iajs-3099	216	2	c	c	NOUN
iajs-3099	216	3	)	)	PUNCT
iajs-3099	216	4	3	3	NUM
iajs-3099	216	5	2	2	NUM
iajs-3099	216	6	,	,	PUNCT
iajs-3099	216	7	η	η	X
iajs-3099	216	8	(	(	PUNCT
iajs-3099	216	9			NUM
iajs-3099	216	10			ADJ
iajs-3099	216	11	)	)	PUNCT
iajs-3099	216	12	3	3	NUM
iajs-3099	216	13	3	3	NUM
iajs-3099	216	14	,	,	PUNCT
iajs-3099	216	15	η	η	X
iajs-3099	216	16	(	(	PUNCT
iajs-3099	216	17			NUM
iajs-3099	216	18			PROPN
iajs-3099	216	19	)	)	PUNCT
iajs-3099	216	20	3	3	NUM
iajs-3099	216	21	5	5	NUM
iajs-3099	216	22	,	,	PUNCT
iajs-3099	216	23	η	η	X
iajs-3099	216	24	(	(	PUNCT
iajs-3099	216	25			NUM
iajs-3099	216	26			PROPN
iajs-3099	216	27	)	)	PUNCT
iajs-3099	216	28	7	7	NUM
iajs-3099	216	29	5	5	NUM
iajs-3099	216	30	,	,	PUNCT
iajs-3099	216	31	η	η	X
iajs-3099	216	32	(	(	PUNCT
iajs-3099	216	33			NUM
iajs-3099	216	34			ADJ
iajs-3099	216	35	^	^	SYM
iajs-3099	216	36			ADJ
iajs-3099	216	37	mse	mse	NOUN
iajs-3099	216	38	^	^	PUNCT
iajs-3099	216	39			PROPN
iajs-3099	216	40	mse	mse	NOUN
iajs-3099	216	41	^	^	PUNCT
iajs-3099	216	42			PROPN
iajs-3099	216	43	mse	mse	NOUN
iajs-3099	216	44	^	^	PUNCT
iajs-3099	216	45			PROPN
iajs-3099	216	46	mse	mse	PROPN
iajs-3099	216	47	15	15	NUM
iajs-3099	216	48	-1	-1	SYM
iajs-3099	216	49	1	1	NUM
iajs-3099	216	50	2	2	NUM
iajs-3099	216	51	3	3	NUM
iajs-3099	216	52	3.0022	3.0022	NUM
iajs-3099	216	53	2.9084	2.9084	NUM
iajs-3099	216	54	2.8640	2.8640	NUM
iajs-3099	216	55	2.8212	2.8212	NUM
iajs-3099	216	56	0.2794	0.2794	NUM
iajs-3099	217	1	0.2706	0.2706	NUM
iajs-3099	217	2	0.2728	0.2728	NUM
iajs-3099	217	3	0.2787	0.2787	NUM
iajs-3099	217	4	2.9970	2.9970	NUM
iajs-3099	217	5	2.9332	2.9332	NUM
iajs-3099	217	6	2.9025	2.9025	NUM
iajs-3099	217	7	2.8725	2.8725	NUM
iajs-3099	217	8	0.1901	0.1901	NUM
iajs-3099	217	9	0.1866	0.1866	NUM
iajs-3099	217	10	0.1878	0.1878	NUM
iajs-3099	217	11	0.1909	0.1909	NUM
iajs-3099	217	12	2.9926	2.9926	NUM
iajs-3099	217	13	2.9538	2.9538	NUM
iajs-3099	217	14	2.9348	2.9348	NUM
iajs-3099	217	15	2.9161	2.9161	NUM
iajs-3099	217	16	0.1191	0.1191	NUM
iajs-3099	217	17	0.1181	0.1181	NUM
iajs-3099	217	18	0.1188	0.1188	NUM
iajs-3099	217	19	0.1201	0.1201	NUM
iajs-3099	217	20	6.9532	6.9532	NUM
iajs-3099	217	21	6.8629	6.8629	NUM
iajs-3099	217	22	6.8187	6.8187	NUM
iajs-3099	217	23	6.7753	6.7753	NUM
iajs-3099	217	24	0.6345	0.6345	NUM
iajs-3099	217	25	0.6348	0.6348	NUM
iajs-3099	217	26	0.6409	0.6409	NUM
iajs-3099	217	27	0.6509	0.6509	NUM
iajs-3099	217	28	25	25	NUM
iajs-3099	217	29	-1	-1	SYM
iajs-3099	217	30	1	1	NUM
iajs-3099	217	31	2	2	NUM
iajs-3099	217	32	3	3	NUM
iajs-3099	217	33	2.9977	2.9977	NUM
iajs-3099	217	34	2.9400	2.9400	NUM
iajs-3099	217	35	2.9122	2.9122	NUM
iajs-3099	217	36	2.8849	2.8849	NUM
iajs-3099	217	37	0.1752	0.1752	NUM
iajs-3099	217	38	0.1721	0.1721	NUM
iajs-3099	217	39	0.1730	0.1730	NUM
iajs-3099	217	40	0.1755	0.1755	NUM
iajs-3099	217	41	2.9943	2.9943	NUM
iajs-3099	217	42	2.9554	2.9554	NUM
iajs-3099	217	43	2.9364	2.9364	NUM
iajs-3099	217	44	2.9177	2.9177	NUM
iajs-3099	217	45	0.1227	0.1227	NUM
iajs-3099	218	1	0.1215	0.1215	NUM
iajs-3099	218	2	0.122	0.122	NUM
iajs-3099	219	1	0.1232	0.1232	NUM
iajs-3099	219	2	3.0022	3.0022	NUM
iajs-3099	219	3	2.9786	2.9786	NUM
iajs-3099	219	4	2.9669	2.9669	NUM
iajs-3099	219	5	2.9554	2.9554	NUM
iajs-3099	219	6	0.0683	0.0683	NUM
iajs-3099	219	7	0.0677	0.0677	NUM
iajs-3099	219	8	0.0678	0.0678	NUM
iajs-3099	219	9	0.0682	0.0682	NUM
iajs-3099	219	10	6.9714	6.9714	NUM
iajs-3099	219	11	6.9166	6.9166	NUM
iajs-3099	219	12	6.8895	6.8895	NUM
iajs-3099	219	13	6.8627	6.8627	NUM
iajs-3099	219	14	0.3867	0.3867	NUM
iajs-3099	219	15	0.3868	0.3868	NUM
iajs-3099	219	16	0.3891	0.3891	NUM
iajs-3099	219	17	0.3928	0.3928	NUM
iajs-3099	219	18	50	50	NUM
iajs-3099	219	19	-1	-1	SYM
iajs-3099	219	20	1	1	NUM
iajs-3099	219	21	2	2	NUM
iajs-3099	219	22	3	3	NUM
iajs-3099	219	23	2.9914	2.9914	NUM
iajs-3099	219	24	2.9620	2.9620	NUM
iajs-3099	219	25	2.9476	2.9476	NUM
iajs-3099	219	26	2.9334	2.9334	NUM
iajs-3099	219	27	0.0856	0.0856	NUM
iajs-3099	219	28	0.0853	0.0853	NUM
iajs-3099	219	29	0.0858	0.0858	NUM
iajs-3099	219	30	0.0867	0.0867	NUM
iajs-3099	219	31	2.9966	2.9966	NUM
iajs-3099	219	32	2.9768	2.9768	NUM
iajs-3099	219	33	2.9671	2.9671	NUM
iajs-3099	219	34	2.9574	2.9574	NUM
iajs-3099	219	35	0.0599	0.0599	NUM
iajs-3099	220	1	0.0597	0.0597	NUM
iajs-3099	220	2	0.0598	0.0598	NUM
iajs-3099	220	3	0.0602	0.0602	NUM
iajs-3099	220	4			NOUN
iajs-3099	220	5			VERB
iajs-3099	220	6			NOUN
iajs-3099	220	7			NOUN
iajs-3099	220	8			NOUN
iajs-3099	220	9			NOUN
iajs-3099	220	10			NOUN
iajs-3099	220	11			NOUN
iajs-3099	220	12			NOUN
iajs-3099	220	13			NOUN
iajs-3099	220	14			NOUN
iajs-3099	220	15			NOUN
iajs-3099	220	16			NOUN
iajs-3099	220	17			NOUN
iajs-3099	220	18			NOUN
iajs-3099	220	19			NOUN
iajs-3099	220	20	note.1	note.1	NOUN
iajs-3099	220	21	:	:	PUNCT
iajs-3099	220	22	the	the	DET
iajs-3099	220	23	shadow	shadow	NOUN
iajs-3099	220	24	cells	cell	NOUN
iajs-3099	220	25	represent	represent	VERB
iajs-3099	220	26	the	the	DET
iajs-3099	220	27	smallest	small	ADJ
iajs-3099	220	28	value	value	NOUN
iajs-3099	220	29	of	of	ADP
iajs-3099	220	30	mse	mse	PROPN
iajs-3099	220	31	.	.	PUNCT
iajs-3099	220	32	table	table	NOUN
iajs-3099	220	33	3	3	NUM
iajs-3099	220	34	:	:	PUNCT
iajs-3099	220	35	bayes	bayes	PROPN
iajs-3099	220	36	estimates	estimate	VERB
iajs-3099	220	37	)	)	PUNCT
iajs-3099	220	38	(	(	PUNCT
iajs-3099	220	39	^	^	PUNCT
iajs-3099	220	40			ADJ
iajs-3099	220	41	of	of	ADP
iajs-3099	220	42	scale	scale	NOUN
iajs-3099	220	43	parameter	parameter	NOUN
iajs-3099	220	44	)	)	PUNCT
iajs-3099	220	45	(	(	PUNCT
iajs-3099	220	46			PROPN
iajs-3099	220	47	and	and	CCONJ
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iajs-3099	220	49	mean	mean	ADJ
iajs-3099	220	50	square	square	ADJ
iajs-3099	220	51	error	error	NOUN
iajs-3099	220	52	(	(	PUNCT
iajs-3099	220	53	mse	mse	NOUN
iajs-3099	220	54	)	)	PUNCT
iajs-3099	220	55	of	of	ADP
iajs-3099	220	56	the	the	DET
iajs-3099	220	57	erlang	erlang	PROPN
iajs-3099	220	58	distribution	distribution	NOUN
iajs-3099	220	59	under	under	ADP
iajs-3099	220	60	invers	inver	NOUN
iajs-3099	220	61	chi	chi	PROPN
iajs-3099	220	62	-	-	PUNCT
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iajs-3099	220	65	with	with	ADP
iajs-3099	220	66	)	)	PUNCT
iajs-3099	220	67	5	5	NUM
iajs-3099	220	68	υ	υ	NOUN
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iajs-3099	220	70			PROPN
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iajs-3099	220	72	on	on	ADP
iajs-3099	220	73	general	general	ADJ
iajs-3099	220	74	entropy	entropy	NOUN
iajs-3099	220	75	loss	loss	NOUN
iajs-3099	220	76	function	function	NOUN
iajs-3099	220	77	.	.	PUNCT
iajs-3099	221	1	n	n	PRON
iajs-3099	221	2	c	c	NOUN
iajs-3099	221	3	)	)	PUNCT
iajs-3099	221	4	3	3	NUM
iajs-3099	221	5	2	2	NUM
iajs-3099	221	6	,	,	PUNCT
iajs-3099	221	7	η	η	X
iajs-3099	221	8	(	(	PUNCT
iajs-3099	221	9			NUM
iajs-3099	221	10			ADJ
iajs-3099	221	11	)	)	PUNCT
iajs-3099	221	12	3	3	NUM
iajs-3099	221	13	3	3	NUM
iajs-3099	221	14	,	,	PUNCT
iajs-3099	221	15	η	η	X
iajs-3099	221	16	(	(	PUNCT
iajs-3099	221	17			NUM
iajs-3099	221	18			PROPN
iajs-3099	221	19	)	)	PUNCT
iajs-3099	221	20	3	3	NUM
iajs-3099	221	21	5	5	NUM
iajs-3099	221	22	,	,	PUNCT
iajs-3099	221	23	η	η	X
iajs-3099	221	24	(	(	PUNCT
iajs-3099	221	25			NUM
iajs-3099	221	26			PROPN
iajs-3099	221	27	)	)	PUNCT
iajs-3099	221	28	7	7	NUM
iajs-3099	221	29	5	5	NUM
iajs-3099	221	30	,	,	PUNCT
iajs-3099	221	31	η	η	X
iajs-3099	221	32	(	(	PUNCT
iajs-3099	221	33			NUM
iajs-3099	221	34			ADJ
iajs-3099	221	35	^	^	SYM
iajs-3099	221	36			ADJ
iajs-3099	221	37	mse	mse	NOUN
iajs-3099	221	38	^	^	PUNCT
iajs-3099	221	39			PROPN
iajs-3099	221	40	mse	mse	NOUN
iajs-3099	221	41	^	^	PUNCT
iajs-3099	221	42			PROPN
iajs-3099	221	43	mse	mse	NOUN
iajs-3099	221	44	^	^	PUNCT
iajs-3099	221	45			PROPN
iajs-3099	221	46	mse	mse	PROPN
iajs-3099	221	47	15	15	NUM
iajs-3099	221	48	-1	-1	SYM
iajs-3099	221	49	1	1	NUM
iajs-3099	221	50	2	2	NUM
iajs-3099	221	51	3	3	NUM
iajs-3099	221	52	2.9387	2.9387	NUM
iajs-3099	221	53	2.8483	2.8483	NUM
iajs-3099	221	54	2.8055	2.8055	NUM
iajs-3099	221	55	2.7641	2.7641	NUM
iajs-3099	221	56	0.2744	0.2744	NUM
iajs-3099	221	57	0.2773	0.2773	NUM
iajs-3099	221	58	0.2845	0.2845	NUM
iajs-3099	221	59	0.2951	0.2951	NUM
iajs-3099	221	60	2.954	2.954	NUM
iajs-3099	221	61	2.8918	2.8918	NUM
iajs-3099	221	62	2.8618	2.8618	NUM
iajs-3099	221	63	2.8326	2.8326	NUM
iajs-3099	221	64	0.1882	0.1882	NUM
iajs-3099	221	65	0.1900	0.1900	NUM
iajs-3099	221	66	0.1937	0.1937	NUM
iajs-3099	222	1	0.1991	0.1991	NUM
iajs-3099	222	2	2.9665	2.9665	NUM
iajs-3099	222	3	2.9283	2.9283	NUM
iajs-3099	222	4	2.9096	2.9096	NUM
iajs-3099	222	5	2.8911	2.8911	NUM
iajs-3099	222	6	0.1186	0.1186	NUM
iajs-3099	222	7	0.1197	0.1197	NUM
iajs-3099	222	8	0.1212	0.1212	NUM
iajs-3099	222	9	0.1235	0.1235	NUM
iajs-3099	222	10	6.9012	6.9012	NUM
iajs-3099	222	11	6.8121	6.8121	NUM
iajs-3099	222	12	6.7686	6.7686	NUM
iajs-3099	222	13	6.7257	6.7257	NUM
iajs-3099	222	14	0.6338	0.6338	NUM
iajs-3099	222	15	0.6433	0.6433	NUM
iajs-3099	222	16	0.6538	0.6538	NUM
iajs-3099	222	17	0.6679	0.6679	NUM
iajs-3099	222	18	25	25	NUM
iajs-3099	222	19	-1	-1	SYM
iajs-3099	222	20	1	1	NUM
iajs-3099	222	21	2	2	NUM
iajs-3099	222	22	3	3	NUM
iajs-3099	222	23	2.9589	2.9589	NUM
iajs-3099	222	24	2.9025	2.9025	NUM
iajs-3099	222	25	2.8753	2.8753	NUM
iajs-3099	222	26	2.8486	2.8486	NUM
iajs-3099	222	27	0.1735	0.1735	NUM
iajs-3099	222	28	0.1748	0.1748	NUM
iajs-3099	222	29	0.1778	0.1778	NUM
iajs-3099	222	30	0.1821	0.1821	NUM
iajs-3099	222	31	2.9682	2.9682	NUM
iajs-3099	222	32	2.9299	2.9299	NUM
iajs-3099	222	33	2.9112	2.9112	NUM
iajs-3099	222	34	2.8927	2.8927	NUM
iajs-3099	222	35	0.1220	0.1220	NUM
iajs-3099	222	36	0.1228	0.1228	NUM
iajs-3099	222	37	0.1243	0.1243	NUM
iajs-3099	222	38	0.1265	0.1265	NUM
iajs-3099	222	39	2.9864	2.9864	NUM
iajs-3099	222	40	2.9630	2.9630	NUM
iajs-3099	222	41	2.9514	2.9514	NUM
iajs-3099	222	42	2.9400	2.9400	NUM
iajs-3099	222	43	0.0679	0.0679	NUM
iajs-3099	222	44	0.0681	0.0681	NUM
iajs-3099	222	45	0.0685	0.0685	NUM
iajs-3099	222	46	0.0693	0.0693	NUM
iajs-3099	222	47	6.9399	6.9399	NUM
iajs-3099	222	48	6.8855	6.8855	NUM
iajs-3099	222	49	6.8587	6.8587	NUM
iajs-3099	222	50	6.8321	6.8321	NUM
iajs-3099	222	51	0.3864	0.3864	NUM
iajs-3099	222	52	0.3900	0.3900	NUM
iajs-3099	222	53	0.3939	0.3939	NUM
iajs-3099	222	54	0.3992	0.3992	NUM
iajs-3099	222	55	50	50	NUM
iajs-3099	222	56	-1	-1	SYM
iajs-3099	222	57	1	1	NUM
iajs-3099	222	58	2	2	NUM
iajs-3099	222	59	3	3	NUM
iajs-3099	222	60	2.9717	2.9717	NUM
iajs-3099	222	61	2.9427	2.9427	NUM
iajs-3099	222	62	2.9285	2.9285	NUM
iajs-3099	222	63	2.9144	2.9144	NUM
iajs-3099	222	64	0.0855	0.0855	NUM
iajs-3099	222	65	0.0863	0.0863	NUM
iajs-3099	222	66	0.0873	0.0873	NUM
iajs-3099	222	67	0.0888	0.0888	NUM
iajs-3099	222	68	2.9834	2.9834	NUM
iajs-3099	222	69	2.9638	2.9638	NUM
iajs-3099	222	70	2.9541	2.9541	NUM
iajs-3099	222	71	2.9445	2.9445	NUM
iajs-3099	222	72	0.0598	0.0598	NUM
iajs-3099	222	73	0.0600	0.0600	NUM
iajs-3099	222	74	0.0605	0.0605	NUM
iajs-3099	222	75	0.0610	0.0610	NUM
iajs-3099	222	76			NOUN
iajs-3099	222	77			VERB
iajs-3099	222	78			NOUN
iajs-3099	222	79			NOUN
iajs-3099	222	80			NOUN
iajs-3099	222	81			NOUN
iajs-3099	222	82			NOUN
iajs-3099	222	83			NOUN
iajs-3099	222	84			NOUN
iajs-3099	222	85			NOUN
iajs-3099	222	86			NOUN
iajs-3099	222	87			NOUN
iajs-3099	222	88			NOUN
iajs-3099	222	89			NOUN
iajs-3099	222	90			NOUN
iajs-3099	222	91			NOUN
iajs-3099	222	92	note.1	note.1	NOUN
iajs-3099	222	93	:	:	PUNCT
iajs-3099	222	94	the	the	DET
iajs-3099	222	95	shadow	shadow	NOUN
iajs-3099	222	96	cells	cell	NOUN
iajs-3099	222	97	represent	represent	VERB
iajs-3099	222	98	the	the	DET
iajs-3099	222	99	smallest	small	ADJ
iajs-3099	222	100	value	value	NOUN
iajs-3099	222	101	of	of	ADP
iajs-3099	222	102	mse	mse	PROPN
iajs-3099	222	103	.	.	PUNCT
iajs-3099	223	1	ihjpas	ihjpas	PROPN
iajs-3099	223	2	.	.	PUNCT
iajs-3099	224	1	36	36	NUM
iajs-3099	224	2	(	(	PUNCT
iajs-3099	224	3	3	3	NUM
iajs-3099	224	4	)	)	PUNCT
iajs-3099	224	5	2023	2023	NUM
iajs-3099	224	6	345	345	NUM
iajs-3099	224	7	table	table	NOUN
iajs-3099	224	8	4	4	NUM
iajs-3099	224	9	:	:	PUNCT
iajs-3099	224	10	bayes	bayes	PROPN
iajs-3099	224	11	estimates	estimate	VERB
iajs-3099	224	12	)	)	PUNCT
iajs-3099	224	13	(	(	PUNCT
iajs-3099	224	14	^	^	PUNCT
iajs-3099	224	15			ADJ
iajs-3099	224	16	of	of	ADP
iajs-3099	224	17	scale	scale	NOUN
iajs-3099	224	18	parameter	parameter	NOUN
iajs-3099	224	19	)	)	PUNCT
iajs-3099	224	20	(	(	PUNCT
iajs-3099	224	21			PROPN
iajs-3099	224	22	and	and	CCONJ
iajs-3099	224	23	their	their	PRON
iajs-3099	224	24	mean	mean	ADJ
iajs-3099	224	25	square	square	ADJ
iajs-3099	224	26	error	error	NOUN
iajs-3099	224	27	(	(	PUNCT
iajs-3099	224	28	mse	mse	NOUN
iajs-3099	224	29	)	)	PUNCT
iajs-3099	224	30	of	of	ADP
iajs-3099	224	31	the	the	DET
iajs-3099	224	32	erlang	erlang	PROPN
iajs-3099	224	33	distribution	distribution	NOUN
iajs-3099	224	34	under	under	ADP
iajs-3099	224	35	standard	standard	ADJ
iajs-3099	224	36	levy	levy	NOUN
iajs-3099	224	37	prior	prior	ADV
iajs-3099	224	38	with	with	ADP
iajs-3099	224	39	)	)	PUNCT
iajs-3099	224	40	5.1	5.1	NUM
iajs-3099	224	41	(	(	PUNCT
iajs-3099	224	42			PROPN
iajs-3099	224	43	based	base	VERB
iajs-3099	224	44	on	on	ADP
iajs-3099	224	45	general	general	ADJ
iajs-3099	224	46	entropy	entropy	NOUN
iajs-3099	224	47	loss	loss	NOUN
iajs-3099	224	48	function	function	NOUN
iajs-3099	224	49	.	.	PUNCT
iajs-3099	225	1	n	n	PRON
iajs-3099	225	2	c	c	NOUN
iajs-3099	225	3	)	)	PUNCT
iajs-3099	225	4	3	3	NUM
iajs-3099	225	5	2	2	NUM
iajs-3099	225	6	,	,	PUNCT
iajs-3099	225	7	η	η	X
iajs-3099	225	8	(	(	PUNCT
iajs-3099	225	9			NUM
iajs-3099	225	10			ADJ
iajs-3099	225	11	)	)	PUNCT
iajs-3099	225	12	3	3	NUM
iajs-3099	225	13	3	3	NUM
iajs-3099	225	14	,	,	PUNCT
iajs-3099	225	15	η	η	X
iajs-3099	225	16	(	(	PUNCT
iajs-3099	225	17			NUM
iajs-3099	225	18			PROPN
iajs-3099	225	19	)	)	PUNCT
iajs-3099	225	20	3	3	NUM
iajs-3099	225	21	5	5	NUM
iajs-3099	225	22	,	,	PUNCT
iajs-3099	225	23	η	η	X
iajs-3099	225	24	(	(	PUNCT
iajs-3099	225	25			NUM
iajs-3099	225	26			PROPN
iajs-3099	225	27	)	)	PUNCT
iajs-3099	225	28	7	7	NUM
iajs-3099	225	29	5	5	NUM
iajs-3099	225	30	,	,	PUNCT
iajs-3099	225	31	η	η	X
iajs-3099	225	32	(	(	PUNCT
iajs-3099	225	33			NUM
iajs-3099	225	34			ADJ
iajs-3099	225	35	^	^	SYM
iajs-3099	225	36			ADJ
iajs-3099	225	37	mse	mse	NOUN
iajs-3099	225	38	^	^	PUNCT
iajs-3099	225	39			PROPN
iajs-3099	225	40	mse	mse	NOUN
iajs-3099	225	41	^	^	PUNCT
iajs-3099	225	42			PROPN
iajs-3099	225	43	mse	mse	NOUN
iajs-3099	225	44	^	^	PUNCT
iajs-3099	225	45			PROPN
iajs-3099	225	46	mse	mse	PROPN
iajs-3099	225	47	15	15	NUM
iajs-3099	225	48	-1	-1	SYM
iajs-3099	225	49	1	1	NUM
iajs-3099	225	50	2	2	NUM
iajs-3099	225	51	3	3	NUM
iajs-3099	225	52	3.0786	3.0786	NUM
iajs-3099	225	53	2.9777	2.9777	NUM
iajs-3099	225	54	2.9300	2.9300	NUM
iajs-3099	225	55	2.8841	2.8841	NUM
iajs-3099	225	56	0.3148	0.3148	NUM
iajs-3099	225	57	0.2892	0.2892	NUM
iajs-3099	225	58	0.2844	0.2844	NUM
iajs-3099	225	59	0.2842	0.2842	NUM
iajs-3099	225	60	3.0474	3.0474	NUM
iajs-3099	225	61	2.9804	2.9804	NUM
iajs-3099	225	62	2.9482	2.9482	NUM
iajs-3099	225	63	2.9168	2.9168	NUM
iajs-3099	225	64	0.2054	0.2054	NUM
iajs-3099	226	1	0.1947	0.1947	NUM
iajs-3099	226	2	0.1928	0.1928	NUM
iajs-3099	226	3	0.1930	0.1930	NUM
iajs-3099	226	4	3.0227	3.0227	NUM
iajs-3099	226	5	2.9827	2.9827	NUM
iajs-3099	227	1	2.9631	2.9631	NUM
iajs-3099	227	2	2.9438	2.9438	NUM
iajs-3099	227	3	0.1244	0.1244	NUM
iajs-3099	227	4	0.1210	0.1210	NUM
iajs-3099	227	5	0.1204	0.1204	NUM
iajs-3099	227	6	0.1207	0.1207	NUM
iajs-3099	227	7	7.0630	7.0630	NUM
iajs-3099	227	8	6.9694	6.9694	NUM
iajs-3099	227	9	6.9237	6.9237	NUM
iajs-3099	227	10	6.8787	6.8787	NUM
iajs-3099	227	11	0.662	0.662	NUM
iajs-3099	227	12	0.6416	0.6416	NUM
iajs-3099	227	13	0.6381	0.6381	NUM
iajs-3099	227	14	0.6388	0.6388	NUM
iajs-3099	227	15	25	25	NUM
iajs-3099	227	16	-1	-1	SYM
iajs-3099	227	17	1	1	NUM
iajs-3099	227	18	2	2	NUM
iajs-3099	227	19	3	3	NUM
iajs-3099	227	20	3.0431	3.0431	NUM
iajs-3099	227	21	2.9828	2.9828	NUM
iajs-3099	227	22	2.9537	2.9537	NUM
iajs-3099	227	23	2.9253	2.9253	NUM
iajs-3099	227	24	0.1878	0.1878	NUM
iajs-3099	227	25	0.1789	0.1789	NUM
iajs-3099	227	26	0.1773	0.1773	NUM
iajs-3099	227	27	0.1774	0.1774	NUM
iajs-3099	227	28	3.0244	3.0244	NUM
iajs-3099	227	29	2.9843	2.9843	NUM
iajs-3099	227	30	2.9648	2.9648	NUM
iajs-3099	227	31	2.9455	2.9455	NUM
iajs-3099	227	32	0.1282	0.1282	NUM
iajs-3099	227	33	0.1245	0.1245	NUM
iajs-3099	227	34	0.1239	0.1239	NUM
iajs-3099	227	35	0.124	0.124	NUM
iajs-3099	227	36	3.0203	3.0203	NUM
iajs-3099	227	37	2.9963	2.9963	NUM
iajs-3099	227	38	2.9844	2.9844	NUM
iajs-3099	227	39	2.9726	2.9726	NUM
iajs-3099	227	40	0.0704	0.0704	NUM
iajs-3099	227	41	0.0688	0.0688	NUM
iajs-3099	227	42	0.0685	0.0685	NUM
iajs-3099	227	43	0.0685	0.0685	NUM
iajs-3099	227	44	7.0374	7.0374	NUM
iajs-3099	227	45	6.9813	6.9813	NUM
iajs-3099	227	46	6.9536	6.9536	NUM
iajs-3099	227	47	6.9262	6.9262	NUM
iajs-3099	227	48	0.3966	0.3966	NUM
iajs-3099	227	49	0.3893	0.3893	NUM
iajs-3099	227	50	0.3880	0.3880	NUM
iajs-3099	227	51	0.3883	0.3883	NUM
iajs-3099	227	52	50	50	NUM
iajs-3099	227	53	-1	-1	SYM
iajs-3099	227	54	1	1	NUM
iajs-3099	227	55	2	2	NUM
iajs-3099	227	56	3	3	NUM
iajs-3099	227	57	3.0139	3.0139	NUM
iajs-3099	227	58	2.9839	2.9839	NUM
iajs-3099	227	59	2.9691	2.9691	NUM
iajs-3099	227	60	2.9546	2.9546	NUM
iajs-3099	227	61	0.0883	0.0883	NUM
iajs-3099	227	62	0.0866	0.0866	NUM
iajs-3099	227	63	0.0865	0.0865	NUM
iajs-3099	227	64	0.0867	0.0867	NUM
iajs-3099	227	65	3.0116	3.0116	NUM
iajs-3099	227	66	2.9916	2.9916	NUM
iajs-3099	227	67	2.9817	2.9817	NUM
iajs-3099	227	68	2.9719	2.9719	NUM
iajs-3099	227	69	0.0612	0.0612	NUM
iajs-3099	227	70	0.0604	0.0604	NUM
iajs-3099	227	71	0.0602	0.0602	NUM
iajs-3099	227	72	0.0603	0.0603	NUM
iajs-3099	227	73			NOUN
iajs-3099	227	74			NOUN
iajs-3099	227	75			NOUN
iajs-3099	227	76			NOUN
iajs-3099	227	77			NOUN
iajs-3099	227	78			NOUN
iajs-3099	227	79			NOUN
iajs-3099	227	80			NOUN
iajs-3099	227	81			NOUN
iajs-3099	227	82			NOUN
iajs-3099	227	83			NOUN
iajs-3099	227	84			NOUN
iajs-3099	227	85			NOUN
iajs-3099	227	86			NOUN
iajs-3099	227	87			NOUN
iajs-3099	227	88			NOUN
iajs-3099	227	89	from	from	ADP
iajs-3099	227	90	the	the	DET
iajs-3099	227	91	results	result	NOUN
iajs-3099	227	92	of	of	ADP
iajs-3099	227	93	simulation	simulation	NOUN
iajs-3099	227	94	which	which	PRON
iajs-3099	227	95	are	be	AUX
iajs-3099	227	96	listed	list	VERB
iajs-3099	227	97	in	in	ADP
iajs-3099	227	98	table	table	NOUN
iajs-3099	227	99	1	1	NUM
iajs-3099	227	100	to	to	ADP
iajs-3099	227	101	table	table	VERB
iajs-3099	227	102	4	4	NUM
iajs-3099	227	103	,	,	PUNCT
iajs-3099	227	104	we	we	PRON
iajs-3099	227	105	can	can	AUX
iajs-3099	227	106	see	see	VERB
iajs-3099	227	107	that	that	SCONJ
iajs-3099	227	108	the	the	DET
iajs-3099	227	109	best	good	ADJ
iajs-3099	227	110	bayes	bayes	NOUN
iajs-3099	227	111	estimates	estimate	NOUN
iajs-3099	227	112	under	under	ADP
iajs-3099	227	113	different	different	ADJ
iajs-3099	227	114	priors	prior	NOUN
iajs-3099	227	115	based	base	VERB
iajs-3099	227	116	on	on	ADP
iajs-3099	227	117	general	general	ADJ
iajs-3099	227	118	entropy	entropy	NOUN
iajs-3099	227	119	loss	loss	NOUN
iajs-3099	227	120	function	function	NOUN
iajs-3099	227	121	(	(	PUNCT
iajs-3099	227	122	gelf	gelf	NOUN
iajs-3099	227	123	)	)	PUNCT
iajs-3099	227	124	with	with	ADP
iajs-3099	227	125	the	the	DET
iajs-3099	227	126	shape	shape	NOUN
iajs-3099	227	127	parameter	parameter	NOUN
iajs-3099	227	128	(	(	PUNCT
iajs-3099	227	129	c	c	NOUN
iajs-3099	227	130	)	)	PUNCT
iajs-3099	227	131	according	accord	VERB
iajs-3099	227	132	to	to	ADP
iajs-3099	227	133	the	the	DET
iajs-3099	227	134	smallest	small	ADJ
iajs-3099	227	135	value	value	NOUN
iajs-3099	227	136	of	of	ADP
iajs-3099	227	137	mse	mse	NOUN
iajs-3099	227	138	as	as	SCONJ
iajs-3099	227	139	follows	follow	VERB
iajs-3099	227	140	:	:	PUNCT
iajs-3099	227	141	for	for	ADP
iajs-3099	227	142	the	the	DET
iajs-3099	227	143	results	result	NOUN
iajs-3099	227	144	listed	list	VERB
iajs-3099	227	145	in	in	ADP
iajs-3099	227	146	table	table	NOUN
iajs-3099	227	147	1	1	NUM
iajs-3099	227	148	,	,	PUNCT
iajs-3099	227	149	we	we	PRON
iajs-3099	227	150	see	see	VERB
iajs-3099	227	151	that	that	SCONJ
iajs-3099	227	152	the	the	DET
iajs-3099	227	153	best	good	ADJ
iajs-3099	227	154	bayes	bayes	NOUN
iajs-3099	227	155	estimates	estimate	VERB
iajs-3099	227	156	)	)	PUNCT
iajs-3099	227	157	(	(	PUNCT
iajs-3099	227	158	^	^	PUNCT
iajs-3099	227	159			ADJ
iajs-3099	227	160	of	of	ADP
iajs-3099	227	161	scale	scale	NOUN
iajs-3099	227	162	parameter	parameter	NOUN
iajs-3099	227	163	)	)	PUNCT
iajs-3099	227	164	(	(	PUNCT
iajs-3099	228	1			ADJ
iajs-3099	228	2	under	under	ADP
iajs-3099	228	3	invers	inver	NOUN
iajs-3099	228	4	exponential	exponential	NOUN
iajs-3099	228	5	prior	prior	ADV
iajs-3099	228	6	with	with	ADP
iajs-3099	228	7	)	)	PUNCT
iajs-3099	228	8	5.0(ω	5.0(ω	NUM
iajs-3099	228	9			NOUN
iajs-3099	228	10			NOUN
iajs-3099	228	11	when	when	SCONJ
iajs-3099	228	12	the	the	DET
iajs-3099	228	13	shape	shape	NOUN
iajs-3099	228	14	parameter	parameter	NOUN
iajs-3099	228	15	(	(	PUNCT
iajs-3099	228	16	c	c	NOUN
iajs-3099	228	17	)	)	PUNCT
iajs-3099	228	18	of	of	ADP
iajs-3099	228	19	gelf	gelf	NOUN
iajs-3099	228	20	is	be	AUX
iajs-3099	228	21	equal	equal	ADJ
iajs-3099	228	22	to	to	ADP
iajs-3099	228	23	one	one	NUM
iajs-3099	228	24	for	for	ADP
iajs-3099	228	25	all	all	DET
iajs-3099	228	26	sample	sample	NOUN
iajs-3099	228	27	sizes	size	NOUN
iajs-3099	228	28	(	(	PUNCT
iajs-3099	228	29	n=15,25	n=15,25	PROPN
iajs-3099	228	30	,	,	PUNCT
iajs-3099	228	31	50),where	50),where	NUM
iajs-3099	228	32	the	the	DET
iajs-3099	228	33	true	true	ADJ
iajs-3099	228	34	cases	case	NOUN
iajs-3099	228	35	of	of	ADP
iajs-3099	228	36	the	the	DET
iajs-3099	228	37	erlang	erlang	PROPN
iajs-3099	228	38	model	model	NOUN
iajs-3099	228	39	are	be	AUX
iajs-3099	228	40	)	)	PUNCT
iajs-3099	228	41	3	3	NUM
iajs-3099	228	42	2	2	NUM
iajs-3099	228	43	,	,	PUNCT
iajs-3099	228	44	η	η	X
iajs-3099	228	45	(	(	PUNCT
iajs-3099	228	46			NUM
iajs-3099	228	47			ADJ
iajs-3099	228	48	,	,	PUNCT
iajs-3099	228	49	)	)	PUNCT
iajs-3099	228	50	3	3	NUM
iajs-3099	228	51	3	3	NUM
iajs-3099	228	52	,	,	PUNCT
iajs-3099	228	53	η	η	X
iajs-3099	228	54	(	(	PUNCT
iajs-3099	228	55			NUM
iajs-3099	228	56			PROPN
iajs-3099	228	57	.	.	PUNCT
iajs-3099	229	1			NOUN
iajs-3099	229	2	when	when	SCONJ
iajs-3099	229	3	the	the	DET
iajs-3099	229	4	shape	shape	NOUN
iajs-3099	229	5	parameter	parameter	NOUN
iajs-3099	229	6	(	(	PUNCT
iajs-3099	229	7	c	c	NOUN
iajs-3099	229	8	)	)	PUNCT
iajs-3099	229	9	of	of	ADP
iajs-3099	229	10	gelf	gelf	NOUN
iajs-3099	229	11	is	be	AUX
iajs-3099	229	12	equal	equal	ADJ
iajs-3099	229	13	to	to	ADP
iajs-3099	229	14	one	one	NUM
iajs-3099	229	15	for	for	ADP
iajs-3099	229	16	samples	sample	NOUN
iajs-3099	229	17	sizes	size	NOUN
iajs-3099	229	18	(	(	PUNCT
iajs-3099	229	19	n=15,25	n=15,25	PROPN
iajs-3099	229	20	)	)	PUNCT
iajs-3099	229	21	,	,	PUNCT
iajs-3099	229	22	and	and	CCONJ
iajs-3099	229	23	the	the	DET
iajs-3099	229	24	estimation	estimation	NOUN
iajs-3099	229	25	does	do	AUX
iajs-3099	229	26	not	not	PART
iajs-3099	229	27	exist	exist	VERB
iajs-3099	229	28	for	for	ADP
iajs-3099	229	29	n=50	n=50	ADJ
iajs-3099	229	30	,	,	PUNCT
iajs-3099	229	31	where	where	SCONJ
iajs-3099	229	32	the	the	DET
iajs-3099	229	33	true	true	ADJ
iajs-3099	229	34	cases	case	NOUN
iajs-3099	229	35	of	of	ADP
iajs-3099	229	36	the	the	DET
iajs-3099	229	37	erlang	erlang	PROPN
iajs-3099	229	38	model	model	NOUN
iajs-3099	229	39	are	be	AUX
iajs-3099	229	40	)	)	PUNCT
iajs-3099	229	41	3	3	NUM
iajs-3099	229	42	5	5	NUM
iajs-3099	229	43	,	,	PUNCT
iajs-3099	229	44	η	η	X
iajs-3099	229	45	(	(	PUNCT
iajs-3099	229	46			NUM
iajs-3099	229	47			ADJ
iajs-3099	229	48	,	,	PUNCT
iajs-3099	229	49	)	)	PUNCT
iajs-3099	229	50	7	7	NUM
iajs-3099	229	51	5	5	NUM
iajs-3099	229	52	,	,	PUNCT
iajs-3099	229	53	η	η	X
iajs-3099	229	54	(	(	PUNCT
iajs-3099	229	55			NUM
iajs-3099	229	56			PROPN
iajs-3099	229	57	.	.	PUNCT
iajs-3099	230	1	for	for	ADP
iajs-3099	230	2	the	the	DET
iajs-3099	230	3	results	result	NOUN
iajs-3099	230	4	listed	list	VERB
iajs-3099	230	5	in	in	ADP
iajs-3099	230	6	table	table	NOUN
iajs-3099	230	7	2	2	NUM
iajs-3099	230	8	,	,	PUNCT
iajs-3099	230	9	we	we	PRON
iajs-3099	230	10	see	see	VERB
iajs-3099	230	11	that	that	SCONJ
iajs-3099	230	12	the	the	DET
iajs-3099	230	13	best	good	ADJ
iajs-3099	230	14	bayes	bayes	NOUN
iajs-3099	230	15	estimates	estimate	VERB
iajs-3099	230	16	)	)	PUNCT
iajs-3099	230	17	(	(	PUNCT
iajs-3099	230	18	^	^	PUNCT
iajs-3099	230	19			ADJ
iajs-3099	230	20	of	of	ADP
iajs-3099	230	21	scale	scale	NOUN
iajs-3099	230	22	parameter	parameter	NOUN
iajs-3099	230	23	)	)	PUNCT
iajs-3099	230	24	(	(	PUNCT
iajs-3099	230	25			ADJ
iajs-3099	230	26	under	under	ADP
iajs-3099	230	27	inverse	inverse	NOUN
iajs-3099	230	28	gamma	gamma	NOUN
iajs-3099	230	29	prior	prior	ADV
iajs-3099	230	30	with	with	ADP
iajs-3099	230	31	2)b3,(a	2)b3,(a	NUM
iajs-3099	230	32			NOUN
iajs-3099	230	33			NOUN
iajs-3099	230	34	when	when	SCONJ
iajs-3099	230	35	the	the	DET
iajs-3099	230	36	shape	shape	NOUN
iajs-3099	230	37	parameter	parameter	NOUN
iajs-3099	230	38	(	(	PUNCT
iajs-3099	230	39	c	c	NOUN
iajs-3099	230	40	)	)	PUNCT
iajs-3099	230	41	of	of	ADP
iajs-3099	230	42	gelf	gelf	NOUN
iajs-3099	230	43	is	be	AUX
iajs-3099	230	44	equal	equal	ADJ
iajs-3099	230	45	to	to	ADP
iajs-3099	230	46	one	one	NUM
iajs-3099	230	47	for	for	ADP
iajs-3099	230	48	all	all	DET
iajs-3099	230	49	sample	sample	NOUN
iajs-3099	230	50	sizes	size	NOUN
iajs-3099	230	51	(	(	PUNCT
iajs-3099	230	52	n=15,25	n=15,25	PROPN
iajs-3099	230	53	,	,	PUNCT
iajs-3099	230	54	50	50	NUM
iajs-3099	230	55	)	)	PUNCT
iajs-3099	230	56	,	,	PUNCT
iajs-3099	230	57	where	where	SCONJ
iajs-3099	230	58	the	the	DET
iajs-3099	230	59	true	true	ADJ
iajs-3099	230	60	cases	case	NOUN
iajs-3099	230	61	of	of	ADP
iajs-3099	230	62	the	the	DET
iajs-3099	230	63	erlang	erlang	PROPN
iajs-3099	230	64	model	model	NOUN
iajs-3099	230	65	are	be	AUX
iajs-3099	230	66	)	)	PUNCT
iajs-3099	230	67	3	3	NUM
iajs-3099	230	68	2	2	NUM
iajs-3099	230	69	,	,	PUNCT
iajs-3099	230	70	η	η	X
iajs-3099	230	71	(	(	PUNCT
iajs-3099	230	72			NUM
iajs-3099	230	73			ADJ
iajs-3099	230	74	,	,	PUNCT
iajs-3099	230	75	)	)	PUNCT
iajs-3099	230	76	3	3	NUM
iajs-3099	230	77	3	3	NUM
iajs-3099	230	78	,	,	PUNCT
iajs-3099	230	79	η	η	X
iajs-3099	230	80	(	(	PUNCT
iajs-3099	230	81			NUM
iajs-3099	230	82			PROPN
iajs-3099	230	83	.	.	PUNCT
iajs-3099	231	1			NOUN
iajs-3099	231	2	when	when	SCONJ
iajs-3099	231	3	the	the	DET
iajs-3099	231	4	shape	shape	NOUN
iajs-3099	231	5	parameter	parameter	NOUN
iajs-3099	231	6	(	(	PUNCT
iajs-3099	231	7	c	c	NOUN
iajs-3099	231	8	)	)	PUNCT
iajs-3099	231	9	of	of	ADP
iajs-3099	231	10	gelf	gelf	NOUN
iajs-3099	231	11	is	be	AUX
iajs-3099	231	12	equal	equal	ADJ
iajs-3099	231	13	to	to	ADP
iajs-3099	231	14	one	one	NUM
iajs-3099	231	15	for	for	ADP
iajs-3099	231	16	sample	sample	NOUN
iajs-3099	231	17	sizes	size	NOUN
iajs-3099	231	18	(	(	PUNCT
iajs-3099	231	19	n=15,25	n=15,25	PROPN
iajs-3099	231	20	)	)	PUNCT
iajs-3099	231	21	,	,	PUNCT
iajs-3099	231	22	and	and	CCONJ
iajs-3099	231	23	the	the	DET
iajs-3099	231	24	estimation	estimation	NOUN
iajs-3099	231	25	does	do	AUX
iajs-3099	231	26	not	not	PART
iajs-3099	231	27	exist	exist	VERB
iajs-3099	231	28	for	for	ADP
iajs-3099	231	29	n=50	n=50	ADJ
iajs-3099	231	30	,	,	PUNCT
iajs-3099	231	31	,	,	PUNCT
iajs-3099	231	32	where	where	SCONJ
iajs-3099	231	33	the	the	DET
iajs-3099	231	34	true	true	ADJ
iajs-3099	231	35	case	case	NOUN
iajs-3099	231	36	of	of	ADP
iajs-3099	231	37	the	the	DET
iajs-3099	231	38	erlang	erlang	PROPN
iajs-3099	231	39	model	model	NOUN
iajs-3099	231	40	is	be	AUX
iajs-3099	231	41	)	)	PUNCT
iajs-3099	231	42	3	3	NUM
iajs-3099	231	43	5	5	NUM
iajs-3099	231	44	,	,	PUNCT
iajs-3099	231	45	η	η	X
iajs-3099	231	46	(	(	PUNCT
iajs-3099	231	47			NUM
iajs-3099	231	48			PROPN
iajs-3099	231	49	.	.	PUNCT
iajs-3099	232	1			NOUN
iajs-3099	232	2	when	when	SCONJ
iajs-3099	232	3	the	the	DET
iajs-3099	232	4	shape	shape	NOUN
iajs-3099	232	5	parameter	parameter	NOUN
iajs-3099	232	6	(	(	PUNCT
iajs-3099	232	7	c	c	NOUN
iajs-3099	232	8	)	)	PUNCT
iajs-3099	232	9	of	of	ADP
iajs-3099	232	10	gelf	gelf	NOUN
iajs-3099	232	11	is	be	AUX
iajs-3099	232	12	equal	equal	ADJ
iajs-3099	232	13	to	to	ADP
iajs-3099	232	14	(	(	PUNCT
iajs-3099	232	15	-1	-1	INTJ
iajs-3099	232	16	)	)	PUNCT
iajs-3099	232	17	,	,	PUNCT
iajs-3099	232	18	for	for	ADP
iajs-3099	232	19	sample	sample	NOUN
iajs-3099	232	20	sizes	size	NOUN
iajs-3099	232	21	(	(	PUNCT
iajs-3099	232	22	n=15,25	n=15,25	PROPN
iajs-3099	232	23	)	)	PUNCT
iajs-3099	232	24	,	,	PUNCT
iajs-3099	232	25	and	and	CCONJ
iajs-3099	232	26	the	the	DET
iajs-3099	232	27	estimation	estimation	NOUN
iajs-3099	232	28	does	do	AUX
iajs-3099	232	29	not	not	PART
iajs-3099	232	30	exist	exist	VERB
iajs-3099	232	31	for	for	ADP
iajs-3099	232	32	n=50,where	n=50,where	ADP
iajs-3099	232	33	the	the	DET
iajs-3099	232	34	true	true	ADJ
iajs-3099	232	35	case	case	NOUN
iajs-3099	232	36	of	of	ADP
iajs-3099	232	37	the	the	DET
iajs-3099	232	38	erlang	erlang	PROPN
iajs-3099	232	39	model	model	NOUN
iajs-3099	232	40	is	be	AUX
iajs-3099	232	41	)	)	PUNCT
iajs-3099	232	42	7	7	NUM
iajs-3099	232	43	5	5	NUM
iajs-3099	232	44	,	,	PUNCT
iajs-3099	232	45	η	η	X
iajs-3099	232	46	(	(	PUNCT
iajs-3099	232	47			NUM
iajs-3099	232	48			PROPN
iajs-3099	232	49	.	.	PUNCT
iajs-3099	233	1	for	for	ADP
iajs-3099	233	2	the	the	DET
iajs-3099	233	3	results	result	NOUN
iajs-3099	233	4	listed	list	VERB
iajs-3099	233	5	in	in	ADP
iajs-3099	233	6	table	table	NOUN
iajs-3099	233	7	3	3	NUM
iajs-3099	233	8	,	,	PUNCT
iajs-3099	233	9	we	we	PRON
iajs-3099	233	10	see	see	VERB
iajs-3099	233	11	that	that	SCONJ
iajs-3099	233	12	the	the	DET
iajs-3099	233	13	best	good	ADJ
iajs-3099	233	14	bayes	bayes	NOUN
iajs-3099	233	15	estimates	estimate	VERB
iajs-3099	233	16	)	)	PUNCT
iajs-3099	233	17	(	(	PUNCT
iajs-3099	233	18	^	^	PUNCT
iajs-3099	233	19			ADJ
iajs-3099	233	20	of	of	ADP
iajs-3099	233	21	scale	scale	NOUN
iajs-3099	233	22	parameter	parameter	NOUN
iajs-3099	233	23	)	)	PUNCT
iajs-3099	233	24	(	(	PUNCT
iajs-3099	233	25			PROPN
iajs-3099	233	26	under	under	ADP
iajs-3099	233	27	invers	inver	NOUN
iajs-3099	233	28	chi	chi	PROPN
iajs-3099	233	29	-	-	PUNCT
iajs-3099	233	30	square	square	NOUN
iajs-3099	233	31	prior	prior	ADV
iajs-3099	233	32	with	with	ADP
iajs-3099	233	33	)	)	PUNCT
iajs-3099	233	34	5	5	NUM
iajs-3099	233	35	υ	υ	NOUN
iajs-3099	233	36	(	(	PUNCT
iajs-3099	233	37			NOUN
iajs-3099	233	38			NOUN
iajs-3099	233	39	when	when	SCONJ
iajs-3099	233	40	the	the	DET
iajs-3099	233	41	shape	shape	NOUN
iajs-3099	233	42	parameter	parameter	NOUN
iajs-3099	233	43	(	(	PUNCT
iajs-3099	233	44	c	c	NOUN
iajs-3099	233	45	)	)	PUNCT
iajs-3099	233	46	of	of	ADP
iajs-3099	233	47	gelf	gelf	NOUN
iajs-3099	233	48	is	be	AUX
iajs-3099	233	49	equal	equal	ADJ
iajs-3099	233	50	to	to	ADP
iajs-3099	233	51	(	(	PUNCT
iajs-3099	233	52	-1	-1	INTJ
iajs-3099	233	53	)	)	PUNCT
iajs-3099	233	54	for	for	ADP
iajs-3099	233	55	all	all	DET
iajs-3099	233	56	sample	sample	NOUN
iajs-3099	233	57	sizes	size	NOUN
iajs-3099	233	58	(	(	PUNCT
iajs-3099	233	59	n=15,25	n=15,25	PROPN
iajs-3099	233	60	,	,	PUNCT
iajs-3099	233	61	50	50	NUM
iajs-3099	233	62	)	)	PUNCT
iajs-3099	233	63	,	,	PUNCT
iajs-3099	233	64	where	where	SCONJ
iajs-3099	233	65	the	the	DET
iajs-3099	233	66	true	true	ADJ
iajs-3099	233	67	cases	case	NOUN
iajs-3099	233	68	of	of	ADP
iajs-3099	233	69	the	the	DET
iajs-3099	233	70	erlang	erlang	PROPN
iajs-3099	233	71	model	model	NOUN
iajs-3099	233	72	are	be	AUX
iajs-3099	233	73	)	)	PUNCT
iajs-3099	233	74	3	3	NUM
iajs-3099	233	75	2	2	NUM
iajs-3099	233	76	,	,	PUNCT
iajs-3099	233	77	η	η	X
iajs-3099	233	78	(	(	PUNCT
iajs-3099	233	79			NUM
iajs-3099	233	80			ADJ
iajs-3099	233	81	,	,	PUNCT
iajs-3099	233	82	)	)	PUNCT
iajs-3099	233	83	3	3	NUM
iajs-3099	233	84	3	3	NUM
iajs-3099	233	85	,	,	PUNCT
iajs-3099	233	86	η	η	X
iajs-3099	233	87	(	(	PUNCT
iajs-3099	233	88			NUM
iajs-3099	233	89			PROPN
iajs-3099	233	90	.	.	PUNCT
iajs-3099	234	1	ihjpas	ihjpas	PROPN
iajs-3099	234	2	.	.	PUNCT
iajs-3099	235	1	36	36	NUM
iajs-3099	235	2	(	(	PUNCT
iajs-3099	235	3	3	3	NUM
iajs-3099	235	4	)	)	PUNCT
iajs-3099	235	5	2023	2023	NUM
iajs-3099	235	6	346	346	NUM
iajs-3099	235	7			NOUN
iajs-3099	235	8	when	when	SCONJ
iajs-3099	235	9	the	the	DET
iajs-3099	235	10	shape	shape	NOUN
iajs-3099	235	11	parameter	parameter	NOUN
iajs-3099	235	12	(	(	PUNCT
iajs-3099	235	13	c	c	NOUN
iajs-3099	235	14	)	)	PUNCT
iajs-3099	235	15	of	of	ADP
iajs-3099	235	16	gelf	gelf	NOUN
iajs-3099	235	17	is	be	AUX
iajs-3099	235	18	equal	equal	ADJ
iajs-3099	235	19	to	to	ADP
iajs-3099	235	20	(	(	PUNCT
iajs-3099	235	21	-1	-1	INTJ
iajs-3099	235	22	)	)	PUNCT
iajs-3099	235	23	for	for	ADP
iajs-3099	235	24	sample	sample	NOUN
iajs-3099	235	25	sizes	size	NOUN
iajs-3099	235	26	(	(	PUNCT
iajs-3099	235	27	n=15,25	n=15,25	PROPN
iajs-3099	235	28	)	)	PUNCT
iajs-3099	235	29	,	,	PUNCT
iajs-3099	235	30	and	and	CCONJ
iajs-3099	235	31	the	the	DET
iajs-3099	235	32	estimation	estimation	NOUN
iajs-3099	235	33	does	do	AUX
iajs-3099	235	34	not	not	PART
iajs-3099	235	35	exist	exist	VERB
iajs-3099	235	36	for	for	ADP
iajs-3099	235	37	n=50	n=50	ADJ
iajs-3099	235	38	,	,	PUNCT
iajs-3099	235	39	,	,	PUNCT
iajs-3099	235	40	where	where	SCONJ
iajs-3099	235	41	the	the	DET
iajs-3099	235	42	true	true	ADJ
iajs-3099	235	43	cases	case	NOUN
iajs-3099	235	44	of	of	ADP
iajs-3099	235	45	the	the	DET
iajs-3099	235	46	erlang	erlang	PROPN
iajs-3099	235	47	model	model	NOUN
iajs-3099	235	48	are	be	AUX
iajs-3099	235	49	)	)	PUNCT
iajs-3099	235	50	3	3	NUM
iajs-3099	235	51	5	5	NUM
iajs-3099	235	52	,	,	PUNCT
iajs-3099	235	53	η	η	X
iajs-3099	235	54	(	(	PUNCT
iajs-3099	235	55			NUM
iajs-3099	235	56			ADJ
iajs-3099	235	57	,	,	PUNCT
iajs-3099	235	58	)	)	PUNCT
iajs-3099	235	59	7	7	NUM
iajs-3099	235	60	5	5	NUM
iajs-3099	235	61	,	,	PUNCT
iajs-3099	235	62	η	η	X
iajs-3099	235	63	(	(	PUNCT
iajs-3099	235	64			NUM
iajs-3099	235	65			PROPN
iajs-3099	235	66	.	.	PUNCT
iajs-3099	236	1	for	for	ADP
iajs-3099	236	2	the	the	DET
iajs-3099	236	3	results	result	NOUN
iajs-3099	236	4	listed	list	VERB
iajs-3099	236	5	in	in	ADP
iajs-3099	236	6	table	table	NOUN
iajs-3099	236	7	4	4	NUM
iajs-3099	236	8	,	,	PUNCT
iajs-3099	236	9	we	we	PRON
iajs-3099	236	10	see	see	VERB
iajs-3099	236	11	that	that	SCONJ
iajs-3099	236	12	the	the	DET
iajs-3099	236	13	best	good	ADJ
iajs-3099	236	14	bayes	bayes	NOUN
iajs-3099	236	15	estimates	estimate	VERB
iajs-3099	236	16	)	)	PUNCT
iajs-3099	236	17	(	(	PUNCT
iajs-3099	236	18	^	^	PUNCT
iajs-3099	236	19			ADJ
iajs-3099	236	20	of	of	ADP
iajs-3099	236	21	scale	scale	NOUN
iajs-3099	236	22	parameter	parameter	NOUN
iajs-3099	236	23	)	)	PUNCT
iajs-3099	236	24	(	(	PUNCT
iajs-3099	236	25			PROPN
iajs-3099	236	26	under	under	ADP
iajs-3099	236	27	standard	standard	ADJ
iajs-3099	236	28	levy	levy	NOUN
iajs-3099	236	29	prior	prior	ADV
iajs-3099	236	30	with	with	ADP
iajs-3099	236	31	)	)	PUNCT
iajs-3099	236	32	5.1	5.1	NUM
iajs-3099	236	33	(	(	PUNCT
iajs-3099	236	34			PROPN
iajs-3099	236	35			NOUN
iajs-3099	236	36	when	when	SCONJ
iajs-3099	236	37	the	the	DET
iajs-3099	236	38	shape	shape	NOUN
iajs-3099	236	39	parameter	parameter	NOUN
iajs-3099	236	40	(	(	PUNCT
iajs-3099	236	41	c	c	NOUN
iajs-3099	236	42	)	)	PUNCT
iajs-3099	236	43	of	of	ADP
iajs-3099	236	44	gelf	gelf	NOUN
iajs-3099	236	45	is	be	AUX
iajs-3099	236	46	equal	equal	ADJ
iajs-3099	236	47	to	to	ADP
iajs-3099	236	48	(	(	PUNCT
iajs-3099	236	49	3	3	X
iajs-3099	236	50	)	)	PUNCT
iajs-3099	236	51	all	all	DET
iajs-3099	236	52	sample	sample	NOUN
iajs-3099	236	53	sizes	size	NOUN
iajs-3099	236	54	(	(	PUNCT
iajs-3099	236	55	n=15,25	n=15,25	PROPN
iajs-3099	236	56	,	,	PUNCT
iajs-3099	236	57	50),where	50),where	NUM
iajs-3099	236	58	the	the	DET
iajs-3099	236	59	true	true	ADJ
iajs-3099	236	60	case	case	NOUN
iajs-3099	236	61	of	of	ADP
iajs-3099	236	62	the	the	DET
iajs-3099	236	63	erlang	erlang	PROPN
iajs-3099	236	64	model	model	NOUN
iajs-3099	236	65	is	be	AUX
iajs-3099	236	66	)	)	PUNCT
iajs-3099	236	67	3	3	NUM
iajs-3099	236	68	2	2	NUM
iajs-3099	236	69	,	,	PUNCT
iajs-3099	236	70	η	η	X
iajs-3099	236	71	(	(	PUNCT
iajs-3099	236	72			NUM
iajs-3099	236	73			PROPN
iajs-3099	236	74	.	.	PUNCT
iajs-3099	237	1			NOUN
iajs-3099	237	2	when	when	SCONJ
iajs-3099	237	3	the	the	DET
iajs-3099	237	4	shape	shape	NOUN
iajs-3099	237	5	parameter	parameter	NOUN
iajs-3099	237	6	(	(	PUNCT
iajs-3099	237	7	c	c	NOUN
iajs-3099	237	8	)	)	PUNCT
iajs-3099	237	9	of	of	ADP
iajs-3099	237	10	gelf	gelf	NOUN
iajs-3099	237	11	is	be	AUX
iajs-3099	237	12	equal	equal	ADJ
iajs-3099	237	13	to	to	ADP
iajs-3099	237	14	(	(	PUNCT
iajs-3099	237	15	2	2	X
iajs-3099	237	16	)	)	PUNCT
iajs-3099	237	17	all	all	DET
iajs-3099	237	18	sample	sample	NOUN
iajs-3099	237	19	sizes	size	NOUN
iajs-3099	237	20	(	(	PUNCT
iajs-3099	237	21	n=15,25	n=15,25	PROPN
iajs-3099	237	22	,	,	PUNCT
iajs-3099	237	23	50),where	50),where	NUM
iajs-3099	237	24	the	the	DET
iajs-3099	237	25	true	true	ADJ
iajs-3099	237	26	cases	case	NOUN
iajs-3099	237	27	of	of	ADP
iajs-3099	237	28	the	the	DET
iajs-3099	237	29	erlang	erlang	PROPN
iajs-3099	237	30	model	model	NOUN
iajs-3099	237	31	are	be	AUX
iajs-3099	237	32	)	)	PUNCT
iajs-3099	237	33	3	3	NUM
iajs-3099	237	34	3	3	NUM
iajs-3099	237	35	,	,	PUNCT
iajs-3099	237	36	η	η	X
iajs-3099	237	37	(	(	PUNCT
iajs-3099	237	38			NUM
iajs-3099	237	39			PROPN
iajs-3099	237	40	.	.	PUNCT
iajs-3099	238	1			NOUN
iajs-3099	238	2	when	when	SCONJ
iajs-3099	238	3	the	the	DET
iajs-3099	238	4	shape	shape	NOUN
iajs-3099	238	5	parameter	parameter	NOUN
iajs-3099	238	6	(	(	PUNCT
iajs-3099	238	7	c	c	NOUN
iajs-3099	238	8	)	)	PUNCT
iajs-3099	238	9	of	of	ADP
iajs-3099	238	10	gelf	gelf	NOUN
iajs-3099	238	11	is	be	AUX
iajs-3099	238	12	equal	equal	ADJ
iajs-3099	238	13	to	to	ADP
iajs-3099	238	14	(	(	PUNCT
iajs-3099	238	15	2	2	NUM
iajs-3099	238	16	)	)	PUNCT
iajs-3099	238	17	sample	sample	NOUN
iajs-3099	238	18	sizes	size	NOUN
iajs-3099	238	19	(	(	PUNCT
iajs-3099	238	20	n=15,25	n=15,25	PROPN
iajs-3099	238	21	)	)	PUNCT
iajs-3099	238	22	and	and	CCONJ
iajs-3099	238	23	the	the	DET
iajs-3099	238	24	estimation	estimation	NOUN
iajs-3099	238	25	does	do	AUX
iajs-3099	238	26	not	not	PART
iajs-3099	238	27	exist	exist	VERB
iajs-3099	238	28	for	for	ADP
iajs-3099	238	29	n=50	n=50	ADJ
iajs-3099	238	30	,	,	PUNCT
iajs-3099	238	31	where	where	SCONJ
iajs-3099	238	32	the	the	DET
iajs-3099	238	33	true	true	ADJ
iajs-3099	238	34	cases	case	NOUN
iajs-3099	238	35	of	of	ADP
iajs-3099	238	36	the	the	DET
iajs-3099	238	37	erlang	erlang	PROPN
iajs-3099	238	38	model	model	NOUN
iajs-3099	238	39	are	be	AUX
iajs-3099	238	40	)	)	PUNCT
iajs-3099	238	41	3	3	NUM
iajs-3099	238	42	5	5	NUM
iajs-3099	238	43	,	,	PUNCT
iajs-3099	238	44	η	η	X
iajs-3099	238	45	(	(	PUNCT
iajs-3099	238	46			NUM
iajs-3099	238	47			ADJ
iajs-3099	238	48	,	,	PUNCT
iajs-3099	238	49	)	)	PUNCT
iajs-3099	238	50	7	7	NUM
iajs-3099	238	51	5	5	NUM
iajs-3099	238	52	,	,	PUNCT
iajs-3099	238	53	η	η	X
iajs-3099	238	54	(	(	PUNCT
iajs-3099	238	55			NUM
iajs-3099	238	56			PROPN
iajs-3099	238	57	.	.	PUNCT
iajs-3099	239	1	in	in	ADP
iajs-3099	239	2	general	general	ADJ
iajs-3099	239	3	,	,	PUNCT
iajs-3099	239	4	the	the	DET
iajs-3099	239	5	bayes	bayes	PROPN
iajs-3099	239	6	estimation	estimation	NOUN
iajs-3099	239	7	for	for	ADP
iajs-3099	239	8	the	the	DET
iajs-3099	239	9	scale	scale	NOUN
iajs-3099	239	10	parameter	parameter	NOUN
iajs-3099	239	11	)	)	PUNCT
iajs-3099	240	1	(	(	PUNCT
iajs-3099	240	2			PROPN
iajs-3099	240	3	does	do	AUX
iajs-3099	240	4	not	not	PART
iajs-3099	240	5	exist	exist	VERB
iajs-3099	240	6	,	,	PUNCT
iajs-3099	240	7	where	where	SCONJ
iajs-3099	240	8	the	the	DET
iajs-3099	240	9	true	true	ADJ
iajs-3099	240	10	cases	case	NOUN
iajs-3099	240	11	)	)	PUNCT
iajs-3099	240	12	,	,	PUNCT
iajs-3099	240	13	η	η	PROPN
iajs-3099	240	14	(	(	PUNCT
iajs-3099	240	15			PROPN
iajs-3099	240	16	of	of	ADP
iajs-3099	240	17	the	the	DET
iajs-3099	240	18	erlang	erlang	PROPN
iajs-3099	240	19	model	model	NOUN
iajs-3099	240	20	are	be	AUX
iajs-3099	240	21	large	large	ADJ
iajs-3099	240	22	values	value	NOUN
iajs-3099	240	23	,	,	PUNCT
iajs-3099	240	24	also	also	ADV
iajs-3099	240	25	for	for	ADP
iajs-3099	240	26	large	large	ADJ
iajs-3099	240	27	sample	sample	NOUN
iajs-3099	240	28	size	size	NOUN
iajs-3099	240	29	i.e.	i.e.	X
iajs-3099	240	30	)	)	PUNCT
iajs-3099	240	31	50n	50n	NOUN
iajs-3099	240	32	(	(	PUNCT
iajs-3099	240	33			NUM
iajs-3099	240	34	and	and	CCONJ
iajs-3099	240	35	under	under	ADP
iajs-3099	240	36	all	all	DET
iajs-3099	240	37	informative	informative	ADJ
iajs-3099	240	38	priors	prior	NOUN
iajs-3099	240	39	.	.	PUNCT
iajs-3099	241	1	6	6	NUM
iajs-3099	241	2	.	.	X
iajs-3099	241	3	conclusion	conclusion	NOUN
iajs-3099	241	4	in	in	ADP
iajs-3099	241	5	this	this	DET
iajs-3099	241	6	study	study	NOUN
iajs-3099	241	7	,	,	PUNCT
iajs-3099	241	8	we	we	PRON
iajs-3099	241	9	review	review	VERB
iajs-3099	241	10	the	the	DET
iajs-3099	241	11	properties	property	NOUN
iajs-3099	241	12	of	of	ADP
iajs-3099	241	13	erlang	erlang	NOUN
iajs-3099	241	14	distribution	distribution	NOUN
iajs-3099	241	15	.	.	PUNCT
iajs-3099	242	1	we	we	PRON
iajs-3099	242	2	derived	derive	VERB
iajs-3099	242	3	cumulative	cumulative	ADJ
iajs-3099	242	4	distribution	distribution	NOUN
iajs-3099	242	5	function	function	NOUN
iajs-3099	242	6	(	(	PUNCT
iajs-3099	242	7	cdf	cdf	PROPN
iajs-3099	242	8	)	)	PUNCT
iajs-3099	242	9	,	,	PUNCT
iajs-3099	242	10	mean	mean	VERB
iajs-3099	242	11	and	and	CCONJ
iajs-3099	242	12	variance	variance	NOUN
iajs-3099	242	13	and	and	CCONJ
iajs-3099	242	14	the	the	DET
iajs-3099	242	15	coefficient	coefficient	NOUN
iajs-3099	242	16	of	of	ADP
iajs-3099	242	17	variation	variation	NOUN
iajs-3099	242	18	(	(	PUNCT
iajs-3099	242	19	c.v	c.v	PROPN
iajs-3099	242	20	)	)	PUNCT
iajs-3099	242	21	of	of	ADP
iajs-3099	242	22	erlang	erlang	PROPN
iajs-3099	242	23	distribution	distribution	NOUN
iajs-3099	242	24	.	.	PUNCT
iajs-3099	243	1	also	also	ADV
iajs-3099	243	2	,	,	PUNCT
iajs-3099	243	3	we	we	PRON
iajs-3099	243	4	derived	derive	VERB
iajs-3099	243	5	the	the	DET
iajs-3099	243	6	posterior	posterior	ADJ
iajs-3099	243	7	density	density	NOUN
iajs-3099	243	8	with	with	ADP
iajs-3099	243	9	posterior	posterior	ADJ
iajs-3099	243	10	mean	mean	NOUN
iajs-3099	243	11	and	and	CCONJ
iajs-3099	243	12	posterior	posterior	ADJ
iajs-3099	243	13	variance	variance	NOUN
iajs-3099	243	14	using	use	VERB
iajs-3099	243	15	different	different	ADJ
iajs-3099	243	16	informative	informative	ADJ
iajs-3099	243	17	priors	prior	NOUN
iajs-3099	243	18	for	for	ADP
iajs-3099	243	19	unknown	unknown	ADJ
iajs-3099	243	20	scale	scale	NOUN
iajs-3099	243	21	parameter	parameter	NOUN
iajs-3099	243	22			PROPN
iajs-3099	243	23	which	which	PRON
iajs-3099	243	24	are	be	AUX
iajs-3099	243	25	the	the	DET
iajs-3099	243	26	inverse	inverse	ADJ
iajs-3099	243	27	exponential	exponential	ADJ
iajs-3099	243	28	distribution	distribution	NOUN
iajs-3099	243	29	,	,	PUNCT
iajs-3099	243	30	the	the	DET
iajs-3099	243	31	inverse	inverse	ADJ
iajs-3099	243	32	chi	chi	ADJ
iajs-3099	243	33	-	-	PUNCT
iajs-3099	243	34	square	square	ADJ
iajs-3099	243	35	distribution	distribution	NOUN
iajs-3099	243	36	,	,	PUNCT
iajs-3099	243	37	the	the	DET
iajs-3099	243	38	inverse	inverse	NOUN
iajs-3099	243	39	gamma	gamma	NOUN
iajs-3099	243	40	distribution	distribution	NOUN
iajs-3099	243	41	and	and	CCONJ
iajs-3099	243	42	the	the	DET
iajs-3099	243	43	standard	standard	ADJ
iajs-3099	243	44	levy	levy	NOUN
iajs-3099	243	45	distribution	distribution	NOUN
iajs-3099	243	46	as	as	ADP
iajs-3099	243	47	priors	prior	NOUN
iajs-3099	243	48	based	base	VERB
iajs-3099	243	49	on	on	ADP
iajs-3099	243	50	general	general	ADJ
iajs-3099	243	51	entropy	entropy	NOUN
iajs-3099	243	52	loss	loss	NOUN
iajs-3099	243	53	function	function	NOUN
iajs-3099	243	54	(	(	PUNCT
iajs-3099	243	55	gelf	gelf	NOUN
iajs-3099	243	56	)	)	PUNCT
iajs-3099	243	57	for	for	ADP
iajs-3099	243	58	different	different	ADJ
iajs-3099	243	59	values	value	NOUN
iajs-3099	243	60	of	of	ADP
iajs-3099	243	61	the	the	DET
iajs-3099	243	62	shape	shape	NOUN
iajs-3099	243	63	parameter	parameter	NOUN
iajs-3099	243	64	(	(	PUNCT
iajs-3099	243	65	c	c	NOUN
iajs-3099	243	66	)	)	PUNCT
iajs-3099	243	67	.	.	PUNCT
iajs-3099	244	1	we	we	PRON
iajs-3099	244	2	can	can	AUX
iajs-3099	244	3	draw	draw	VERB
iajs-3099	244	4	our	our	PRON
iajs-3099	244	5	conclusions	conclusion	NOUN
iajs-3099	244	6	about	about	ADP
iajs-3099	244	7	the	the	DET
iajs-3099	244	8	results	result	NOUN
iajs-3099	244	9	in	in	ADP
iajs-3099	244	10	the	the	DET
iajs-3099	244	11	following	following	ADJ
iajs-3099	244	12	points	point	NOUN
iajs-3099	244	13	:	:	PUNCT
iajs-3099	244	14			PRON
iajs-3099	244	15	the	the	DET
iajs-3099	244	16	bayes	bayes	PROPN
iajs-3099	244	17	estimators	estimator	NOUN
iajs-3099	244	18	for	for	ADP
iajs-3099	244	19	the	the	DET
iajs-3099	244	20	scale	scale	NOUN
iajs-3099	244	21	parameter	parameter	NOUN
iajs-3099	244	22	)	)	PUNCT
iajs-3099	244	23	(	(	PUNCT
iajs-3099	244	24			PROPN
iajs-3099	244	25	of	of	ADP
iajs-3099	244	26	the	the	DET
iajs-3099	244	27	erlang	erlang	PROPN
iajs-3099	244	28	distribution	distribution	NOUN
iajs-3099	244	29	based	base	VERB
iajs-3099	244	30	on	on	ADP
iajs-3099	244	31	gelf	gelf	NOUN
iajs-3099	244	32	for	for	ADP
iajs-3099	244	33	the	the	DET
iajs-3099	244	34	shape	shape	NOUN
iajs-3099	244	35	parameter	parameter	NOUN
iajs-3099	244	36	(	(	PUNCT
iajs-3099	244	37	c=1,2,3	c=1,2,3	NUM
iajs-3099	244	38	)	)	PUNCT
iajs-3099	244	39	under	under	ADP
iajs-3099	244	40	invers	invers	PROPN
iajs-3099	244	41	gamma	gamma	PROPN
iajs-3099	244	42	prior	prior	ADV
iajs-3099	244	43	with	with	ADP
iajs-3099	244	44	2)b3,(a	2)b3,(a	NUM
iajs-3099	244	45			NOUN
iajs-3099	244	46	for	for	ADP
iajs-3099	244	47	all	all	DET
iajs-3099	244	48	sample	sample	NOUN
iajs-3099	244	49	sizes(n	sizes(n	PROPN
iajs-3099	244	50	)	)	PUNCT
iajs-3099	244	51	where	where	SCONJ
iajs-3099	244	52	the	the	DET
iajs-3099	244	53	true	true	ADJ
iajs-3099	244	54	cases	case	NOUN
iajs-3099	244	55	of	of	ADP
iajs-3099	244	56	the	the	DET
iajs-3099	244	57	erlang	erlang	PROPN
iajs-3099	244	58	model	model	NOUN
iajs-3099	244	59	are	be	AUX
iajs-3099	244	60	)	)	PUNCT
iajs-3099	244	61	3	3	NUM
iajs-3099	244	62	2	2	NUM
iajs-3099	244	63	,	,	PUNCT
iajs-3099	244	64	η	η	X
iajs-3099	244	65	(	(	PUNCT
iajs-3099	244	66			NUM
iajs-3099	244	67			ADJ
iajs-3099	244	68	and	and	CCONJ
iajs-3099	244	69	)	)	PUNCT
iajs-3099	244	70	3	3	NUM
iajs-3099	244	71	3	3	NUM
iajs-3099	244	72	,	,	PUNCT
iajs-3099	244	73	η	η	X
iajs-3099	244	74	(	(	PUNCT
iajs-3099	244	75			NUM
iajs-3099	244	76			PROPN
iajs-3099	244	77	.	.	PUNCT
iajs-3099	245	1	for	for	ADP
iajs-3099	245	2	samples	sample	NOUN
iajs-3099	245	3	(	(	PUNCT
iajs-3099	245	4	n=15,25	n=15,25	PROPN
iajs-3099	245	5	)	)	PUNCT
iajs-3099	245	6	where	where	SCONJ
iajs-3099	245	7	the	the	DET
iajs-3099	245	8	true	true	ADJ
iajs-3099	245	9	case	case	NOUN
iajs-3099	245	10	of	of	ADP
iajs-3099	245	11	the	the	DET
iajs-3099	245	12	erlang	erlang	PROPN
iajs-3099	245	13	model	model	NOUN
iajs-3099	245	14	are	be	AUX
iajs-3099	245	15	)	)	PUNCT
iajs-3099	245	16	3	3	NUM
iajs-3099	245	17	5	5	NUM
iajs-3099	245	18	,	,	PUNCT
iajs-3099	245	19	η	η	X
iajs-3099	245	20	(	(	PUNCT
iajs-3099	245	21			NUM
iajs-3099	245	22			ADJ
iajs-3099	245	23	and	and	CCONJ
iajs-3099	245	24	)	)	PUNCT
iajs-3099	245	25	7	7	NUM
iajs-3099	245	26	5	5	NUM
iajs-3099	245	27	,	,	PUNCT
iajs-3099	245	28	η	η	X
iajs-3099	245	29	(	(	PUNCT
iajs-3099	245	30			NUM
iajs-3099	245	31			PROPN
iajs-3099	245	32	.	.	PUNCT
iajs-3099	246	1	have	have	VERB
iajs-3099	246	2	less	less	ADJ
iajs-3099	246	3	than	than	ADP
iajs-3099	246	4	mean	mean	VERB
iajs-3099	246	5	square	square	ADJ
iajs-3099	246	6	error	error	NOUN
iajs-3099	246	7	compared	compare	VERB
iajs-3099	246	8	with	with	ADP
iajs-3099	246	9	the	the	DET
iajs-3099	246	10	other	other	ADJ
iajs-3099	246	11	bayes	bayes	NOUN
iajs-3099	246	12	estimators	estimator	NOUN
iajs-3099	246	13	.	.	PUNCT
iajs-3099	247	1			X
iajs-3099	247	2	the	the	DET
iajs-3099	247	3	bayes	bayes	PROPN
iajs-3099	247	4	estimation	estimation	NOUN
iajs-3099	247	5	for	for	ADP
iajs-3099	247	6	the	the	DET
iajs-3099	247	7	scale	scale	NOUN
iajs-3099	247	8	parameter	parameter	NOUN
iajs-3099	247	9	)	)	PUNCT
iajs-3099	247	10	(	(	PUNCT
iajs-3099	247	11			PROPN
iajs-3099	247	12	of	of	ADP
iajs-3099	247	13	the	the	DET
iajs-3099	247	14	erlang	erlang	PROPN
iajs-3099	247	15	distribution	distribution	NOUN
iajs-3099	247	16	based	base	VERB
iajs-3099	247	17	on	on	ADP
iajs-3099	247	18	gelf	gelf	NOUN
iajs-3099	247	19	does	do	AUX
iajs-3099	247	20	not	not	PART
iajs-3099	247	21	exist	exist	VERB
iajs-3099	247	22	for	for	ADP
iajs-3099	247	23	large	large	ADJ
iajs-3099	247	24	sample	sample	NOUN
iajs-3099	247	25	size	size	NOUN
iajs-3099	247	26	)	)	PUNCT
iajs-3099	247	27	50n	50n	NOUN
iajs-3099	247	28	(	(	PUNCT
iajs-3099	247	29			NUM
iajs-3099	247	30	under	under	ADP
iajs-3099	247	31	all	all	DET
iajs-3099	247	32	informative	informative	ADJ
iajs-3099	247	33	priors	prior	NOUN
iajs-3099	247	34	,	,	PUNCT
iajs-3099	247	35	where	where	SCONJ
iajs-3099	247	36	the	the	DET
iajs-3099	247	37	true	true	ADJ
iajs-3099	247	38	cases	case	NOUN
iajs-3099	247	39	of	of	ADP
iajs-3099	247	40	the	the	DET
iajs-3099	247	41	erlang	erlang	PROPN
iajs-3099	247	42	model	model	NOUN
iajs-3099	247	43	are	be	AUX
iajs-3099	247	44	)	)	PUNCT
iajs-3099	247	45	3	3	NUM
iajs-3099	247	46	5	5	NUM
iajs-3099	247	47	,	,	PUNCT
iajs-3099	247	48	η	η	X
iajs-3099	247	49	(	(	PUNCT
iajs-3099	247	50			NUM
iajs-3099	247	51			ADJ
iajs-3099	247	52	and	and	CCONJ
iajs-3099	247	53	)	)	PUNCT
iajs-3099	247	54	7	7	NUM
iajs-3099	247	55	5	5	NUM
iajs-3099	247	56	,	,	PUNCT
iajs-3099	247	57	η	η	X
iajs-3099	247	58	(	(	PUNCT
iajs-3099	247	59			NUM
iajs-3099	247	60			PROPN
iajs-3099	247	61	.	.	PUNCT
iajs-3099	248	1			PROPN
iajs-3099	248	2	in	in	ADP
iajs-3099	248	3	general	general	ADJ
iajs-3099	248	4	,	,	PUNCT
iajs-3099	248	5	the	the	DET
iajs-3099	248	6	bayes	bayes	PROPN
iajs-3099	248	7	estimation	estimation	NOUN
iajs-3099	248	8	for	for	ADP
iajs-3099	248	9	the	the	DET
iajs-3099	248	10	scale	scale	NOUN
iajs-3099	248	11	parameter	parameter	NOUN
iajs-3099	248	12	)	)	PUNCT
iajs-3099	249	1	(	(	PUNCT
iajs-3099	249	2			PROPN
iajs-3099	249	3	does	do	AUX
iajs-3099	249	4	not	not	PART
iajs-3099	249	5	exist	exist	VERB
iajs-3099	249	6	,	,	PUNCT
iajs-3099	249	7	where	where	SCONJ
iajs-3099	249	8	the	the	DET
iajs-3099	249	9	true	true	ADJ
iajs-3099	249	10	cases	case	NOUN
iajs-3099	249	11	)	)	PUNCT
iajs-3099	249	12	,	,	PUNCT
iajs-3099	249	13	η	η	PROPN
iajs-3099	249	14	(	(	PUNCT
iajs-3099	249	15			PROPN
iajs-3099	249	16	of	of	ADP
iajs-3099	249	17	the	the	DET
iajs-3099	249	18	erlang	erlang	PROPN
iajs-3099	249	19	model	model	NOUN
iajs-3099	249	20	are	be	AUX
iajs-3099	249	21	large	large	ADJ
iajs-3099	249	22	values	value	NOUN
iajs-3099	249	23	,	,	PUNCT
iajs-3099	249	24	also	also	ADV
iajs-3099	249	25	for	for	ADP
iajs-3099	249	26	large	large	ADJ
iajs-3099	249	27	sample	sample	NOUN
iajs-3099	249	28	size	size	NOUN
iajs-3099	249	29	i.e.	i.e.	X
iajs-3099	249	30	)	)	PUNCT
iajs-3099	249	31	50n	50n	NOUN
iajs-3099	249	32	(	(	PUNCT
iajs-3099	249	33			NOUN
iajs-3099	249	34	and	and	CCONJ
iajs-3099	249	35	under	under	ADP
iajs-3099	249	36	all	all	DET
iajs-3099	249	37	informative	informative	ADJ
iajs-3099	249	38	priors	prior	NOUN
iajs-3099	249	39	.	.	PUNCT
iajs-3099	250	1	ihjpas	ihjpas	PROPN
iajs-3099	250	2	.	.	PUNCT
iajs-3099	251	1	36	36	NUM
iajs-3099	251	2	(	(	PUNCT
iajs-3099	251	3	3	3	NUM
iajs-3099	251	4	)	)	PUNCT
iajs-3099	251	5	2023	2023	NUM
iajs-3099	251	6	347	347	NUM
iajs-3099	251	7	references	reference	NOUN
iajs-3099	251	8	1	1	NUM
iajs-3099	251	9	.	.	PUNCT
iajs-3099	252	1	haq	haq	PROPN
iajs-3099	252	2	a.	a.	PROPN
iajs-3099	252	3	;	;	PUNCT
iajs-3099	252	4	dey	dey	PROPN
iajs-3099	252	5	s.	s.	PROPN
iajs-3099	252	6	;	;	PUNCT
iajs-3099	252	7	bayesian	bayesian	NOUN
iajs-3099	252	8	estimation	estimation	NOUN
iajs-3099	252	9	of	of	ADP
iajs-3099	252	10	erlang	erlang	PROPN
iajs-3099	252	11	distribution	distribution	NOUN
iajs-3099	252	12	under	under	ADP
iajs-3099	252	13	different	different	ADJ
iajs-3099	252	14	prior	prior	ADJ
iajs-3099	252	15	distributions	distribution	NOUN
iajs-3099	252	16	.	.	PUNCT
iajs-3099	253	1	journal	journal	NOUN
iajs-3099	253	2	of	of	ADP
iajs-3099	253	3	reliability	reliability	NOUN
iajs-3099	253	4	and	and	CCONJ
iajs-3099	253	5	statistical	statistical	ADJ
iajs-3099	253	6	studies	study	NOUN
iajs-3099	253	7	,	,	PUNCT
iajs-3099	253	8	2011,4(1),1	2011,4(1),1	NUM
iajs-3099	253	9	-	-	SYM
iajs-3099	253	10	30	30	NUM
iajs-3099	253	11	.	.	PUNCT
iajs-3099	254	1	2	2	NUM
iajs-3099	254	2	.	.	X
iajs-3099	254	3	khan	khan	PROPN
iajs-3099	254	4	a.	a.	PROPN
iajs-3099	254	5	h.	h.	PROPN
iajs-3099	254	6	;	;	PUNCT
iajs-3099	254	7	jan	jan	PROPN
iajs-3099	254	8	t.	t.	PROPN
iajs-3099	254	9	r.	r.	PROPN
iajs-3099	254	10	;	;	PUNCT
iajs-3099	254	11	bayesian	bayesian	NOUN
iajs-3099	254	12	estimation	estimation	NOUN
iajs-3099	254	13	of	of	ADP
iajs-3099	254	14	erlang	erlang	PROPN
iajs-3099	254	15	distribution	distribution	NOUN
iajs-3099	254	16	under	under	ADP
iajs-3099	254	17	different	different	ADJ
iajs-3099	254	18	generalized	generalized	ADJ
iajs-3099	254	19	truncated	truncate	VERB
iajs-3099	254	20	distributions	distribution	NOUN
iajs-3099	254	21	as	as	ADP
iajs-3099	254	22	priors	prior	NOUN
iajs-3099	254	23	.	.	PUNCT
iajs-3099	255	1	journal	journal	PROPN
iajs-3099	255	2	of	of	ADP
iajs-3099	255	3	modern	modern	ADJ
iajs-3099	255	4	applied	apply	VERB
iajs-3099	255	5	statistical	statistical	ADJ
iajs-3099	255	6	methods	method	NOUN
iajs-3099	255	7	.	.	PUNCT
iajs-3099	256	1	2012	2012	NUM
iajs-3099	256	2	,	,	PUNCT
iajs-3099	256	3	11)2	11)2	NUM
iajs-3099	256	4	(	(	PUNCT
iajs-3099	256	5	,	,	PUNCT
iajs-3099	256	6	416	416	NUM
iajs-3099	256	7	-	-	SYM
iajs-3099	256	8	442	442	NUM
iajs-3099	256	9	.	.	PUNCT
iajs-3099	257	1	3	3	X
iajs-3099	257	2	.	.	X
iajs-3099	257	3	bhat	bhat	PROPN
iajs-3099	257	4	b.	b.	PROPN
iajs-3099	257	5	a.	a.	PROPN
iajs-3099	257	6	;	;	PUNCT
iajs-3099	257	7	kumar	kumar	PROPN
iajs-3099	257	8	p.	p.	PROPN
iajs-3099	257	9	;	;	PUNCT
iajs-3099	257	10	wani	wani	PROPN
iajs-3099	257	11	m.	m.	PROPN
iajs-3099	257	12	a.	a.	PROPN
iajs-3099	257	13	;	;	PUNCT
iajs-3099	257	14	new	new	ADJ
iajs-3099	257	15	generalization	generalization	NOUN
iajs-3099	257	16	of	of	ADP
iajs-3099	257	17	erlang	erlang	PROPN
iajs-3099	257	18	distribution	distribution	NOUN
iajs-3099	257	19	with	with	ADP
iajs-3099	257	20	bayes	bayes	PROPN
iajs-3099	257	21	estimation	estimation	PROPN
iajs-3099	257	22	.	.	PUNCT
iajs-3099	258	1	international	international	ADJ
iajs-3099	258	2	journal	journal	NOUN
iajs-3099	258	3	of	of	ADP
iajs-3099	258	4	innovative	innovative	ADJ
iajs-3099	258	5	research	research	NOUN
iajs-3099	258	6	and	and	CCONJ
iajs-3099	258	7	review	review	NOUN
iajs-3099	258	8	issn	issn	NOUN
iajs-3099	258	9	:	:	PUNCT
iajs-3099	258	10	2347	2347	NUM
iajs-3099	258	11	–	–	PUNCT
iajs-3099	258	12	4424	4424	NUM
iajs-3099	258	13	(	(	PUNCT
iajs-3099	258	14	online	online	NOUN
iajs-3099	258	15	)	)	PUNCT
iajs-3099	258	16	.	.	PUNCT
iajs-3099	259	1	an	an	DET
iajs-3099	259	2	online	online	ADJ
iajs-3099	259	3	international	international	ADJ
iajs-3099	259	4	journal	journal	NOUN
iajs-3099	259	5	available	available	ADJ
iajs-3099	259	6	at	at	ADP
iajs-3099	259	7	http://www.cibtech.org/jirr.htm	http://www.cibtech.org/jirr.htm	PROPN
iajs-3099	259	8	2016	2016	NUM
iajs-3099	259	9	,	,	PUNCT
iajs-3099	259	10	4	4	NUM
iajs-3099	259	11	(	(	PUNCT
iajs-3099	259	12	2),14	2),14	NUM
iajs-3099	259	13	-	-	PUNCT
iajs-3099	259	14	19	19	NUM
iajs-3099	259	15	/	/	SYM
iajs-3099	259	16	bhat	bhat	PROPN
iajs-3099	259	17	et	et	PROPN
iajs-3099	259	18	al	al	PROPN
iajs-3099	259	19	.	.	PROPN
iajs-3099	259	20	4	4	NUM
iajs-3099	259	21	.	.	X
iajs-3099	259	22	mudasir	mudasir	PROPN
iajs-3099	259	23	,	,	PUNCT
iajs-3099	259	24	s.	s.	PROPN
iajs-3099	259	25	;	;	PUNCT
iajs-3099	259	26	ahmad	ahmad	PROPN
iajs-3099	259	27	s.	s.	PROPN
iajs-3099	259	28	p.	p.	PROPN
iajs-3099	259	29	;	;	PUNCT
iajs-3099	259	30	characterization	characterization	NOUN
iajs-3099	259	31	and	and	CCONJ
iajs-3099	259	32	information	information	NOUN
iajs-3099	259	33	measures	measure	NOUN
iajs-3099	259	34	of	of	ADP
iajs-3099	259	35	weighted	weight	VERB
iajs-3099	259	36	erlang	erlang	PROPN
iajs-3099	259	37	distribution	distribution	NOUN
iajs-3099	259	38	.	.	PUNCT
iajs-3099	260	1	journal	journal	PROPN
iajs-3099	260	2	of	of	ADP
iajs-3099	260	3	statistics	statistics	PROPN
iajs-3099	260	4	applications	application	NOUN
iajs-3099	260	5	&	&	CCONJ
iajs-3099	260	6	probability	probability	NOUN
iajs-3099	260	7	letters	letter	NOUN
iajs-3099	260	8	,	,	PUNCT
iajs-3099	260	9	2017,4)3	2017,4)3	NUM
iajs-3099	260	10	(	(	PUNCT
iajs-3099	260	11	,	,	PUNCT
iajs-3099	260	12	109	109	NUM
iajs-3099	260	13	-	-	SYM
iajs-3099	260	14	122	122	NUM
iajs-3099	260	15	.	.	PUNCT
iajs-3099	260	16	5	5	NUM
iajs-3099	260	17	.	.	X
iajs-3099	261	1	mudasir	mudasir	PROPN
iajs-3099	261	2	,	,	PUNCT
iajs-3099	261	3	s.	s.	PROPN
iajs-3099	261	4	;	;	PUNCT
iajs-3099	261	5	ahmad	ahmad	PROPN
iajs-3099	261	6	s.	s.	PROPN
iajs-3099	261	7	p.	p.	PROPN
iajs-3099	261	8	;	;	PUNCT
iajs-3099	261	9	parameter	parameter	NOUN
iajs-3099	261	10	estimation	estimation	NOUN
iajs-3099	261	11	of	of	ADP
iajs-3099	261	12	weighted	weight	VERB
iajs-3099	261	13	erlang	erlang	PROPN
iajs-3099	261	14	distribution	distribution	NOUN
iajs-3099	261	15	using	use	VERB
iajs-3099	261	16	r	r	NOUN
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iajs-3099	261	18	.	.	PUNCT
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iajs-3099	262	5	.	.	PUNCT
iajs-3099	263	1	issn	issn	PROPN
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iajs-3099	263	3	-	-	SYM
iajs-3099	263	4	5804	5804	NUM
iajs-3099	263	5	(	(	PUNCT
iajs-3099	263	6	paper	paper	NOUN
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iajs-3099	263	8	issn	issn	VERB
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iajs-3099	263	10	-	-	SYM
iajs-3099	263	11	0522	0522	NUM
iajs-3099	263	12	(	(	PUNCT
iajs-3099	263	13	online	online	NOUN
iajs-3099	263	14	)	)	PUNCT
iajs-3099	263	15	,	,	PUNCT
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iajs-3099	263	17	,	,	PUNCT
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iajs-3099	263	19	(	(	PUNCT
iajs-3099	263	20	,	,	PUNCT
iajs-3099	263	21	1	1	NUM
iajs-3099	263	22	-	-	SYM
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iajs-3099	263	24	.	.	PUNCT
iajs-3099	264	1	6	6	NUM
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iajs-3099	265	2	a.	a.	PROPN
iajs-3099	265	3	a.	a.	PROPN
iajs-3099	265	4	;	;	PUNCT
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iajs-3099	265	6	s.	s.	PROPN
iajs-3099	265	7	a.	a.	PROPN
iajs-3099	265	8	;	;	PUNCT
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iajs-3099	265	15	-	-	PUNCT
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iajs-3099	265	19	distribution	distribution	NOUN
iajs-3099	265	20	.	.	PUNCT
iajs-3099	266	1	asian	asian	ADJ
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iajs-3099	266	6	.	.	PUNCT
iajs-3099	267	1	2017	2017	NUM
iajs-3099	267	2	,	,	PUNCT
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iajs-3099	267	4	-	-	SYM
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iajs-3099	267	6	,	,	PUNCT
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iajs-3099	267	8	no	no	NOUN
iajs-3099	267	9	.	.	PUNCT
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iajs-3099	268	2	,	,	PUNCT
iajs-3099	268	3	issn	issn	PROPN
iajs-3099	268	4	:	:	PUNCT
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iajs-3099	268	6	-	-	PUNCT
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iajs-3099	268	8	.	.	PUNCT
iajs-3099	269	1	7	7	X
iajs-3099	269	2	.	.	X
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iajs-3099	269	4	adil	adil	PROPN
iajs-3099	269	5	h.	h.	PROPN
iajs-3099	269	6	;	;	PUNCT
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iajs-3099	269	10	;	;	PUNCT
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iajs-3099	269	12	estimation	estimation	NOUN
iajs-3099	269	13	of	of	ADP
iajs-3099	269	14	shape	shape	NOUN
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iajs-3099	269	16	scale	scale	NOUN
iajs-3099	269	17	parameters	parameter	NOUN
iajs-3099	269	18	of	of	ADP
iajs-3099	269	19	erlang	erlang	PROPN
iajs-3099	269	20	distribution	distribution	NOUN
iajs-3099	269	21	.	.	PUNCT
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iajs-3099	270	4	on	on	ADP
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iajs-3099	270	8	science	science	NOUN
iajs-3099	270	9	,	,	PUNCT
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iajs-3099	270	11	and	and	CCONJ
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iajs-3099	270	13	mahratta	mahratta	PROPN
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iajs-3099	270	19	and	and	CCONJ
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iajs-3099	270	21	,	,	PUNCT
iajs-3099	270	22	pune	pune	NOUN
iajs-3099	270	23	(	(	PUNCT
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iajs-3099	270	26	.	.	PUNCT
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iajs-3099	271	4	.	.	PUNCT
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iajs-3099	272	2	.	.	PUNCT
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iajs-3099	273	2	-	-	SYM
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iajs-3099	273	4	-	-	PUNCT
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iajs-3099	273	6	-	-	SYM
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iajs-3099	273	8	-	-	SYM
iajs-3099	273	9	4	4	NUM
iajs-3099	273	10	.	.	PUNCT
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iajs-3099	274	2	-	-	PUNCT
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iajs-3099	274	4	.	.	PUNCT
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iajs-3099	274	6	.	.	X
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iajs-3099	275	2	e.	e.	PROPN
iajs-3099	275	3	;	;	PUNCT
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iajs-3099	275	6	;	;	PUNCT
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iajs-3099	275	10	weighted	weight	VERB
iajs-3099	275	11	erlang	erlang	PROPN
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iajs-3099	275	13	.	.	PUNCT
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iajs-3099	276	5	,	,	PUNCT
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iajs-3099	276	8	;	;	PUNCT
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iajs-3099	276	10	.	.	PUNCT
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iajs-3099	277	2	.	.	X
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iajs-3099	277	9	;	;	PUNCT
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iajs-3099	277	23	and	and	CCONJ
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iajs-3099	278	10	.	.	PUNCT
iajs-3099	279	1	2019	2019	NUM
iajs-3099	279	2	,	,	PUNCT
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iajs-3099	279	9	.	.	PUNCT
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iajs-3099	280	14	;	;	PUNCT
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iajs-3099	280	18	erlang	erlang	NOUN
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iajs-3099	280	28	.	.	PUNCT
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iajs-3099	283	10	-	-	SYM
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iajs-3099	285	12	:	:	PUNCT
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iajs-3099	289	5	.	.	PUNCT
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iajs-3099	290	7	.	.	PUNCT
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iajs-3099	291	2	.	.	X
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iajs-3099	291	7	;	;	PUNCT
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iajs-3099	292	2	,	,	PUNCT
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iajs-3099	292	4	,	,	PUNCT
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iajs-3099	292	6	,	,	PUNCT
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iajs-3099	292	8	.	.	PUNCT
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iajs-3099	296	24	.	.	NOUN
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iajs-3099	297	4	ja	ja	PROPN
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iajs-3099	297	6	;	;	PUNCT
iajs-3099	297	7	coelho	coelho	PROPN
iajs-3099	297	8	-	-	PUNCT
iajs-3099	297	9	barros	barros	PROPN
iajs-3099	297	10	ea	ea	PROPN
iajs-3099	297	11	.	.	PROPN
iajs-3099	297	12	;	;	PUNCT
iajs-3099	298	1	cuevas	cuevas	PROPN
iajs-3099	298	2	jrt	jrt	PROPN
iajs-3099	298	3	;	;	PUNCT
iajs-3099	298	4	mazucheli	mazucheli	PROPN
iajs-3099	298	5	j.	j.	PROPN
iajs-3099	298	6	;	;	PUNCT
iajs-3099	298	7	use	use	NOUN
iajs-3099	298	8	of	of	ADP
iajs-3099	298	9	lèvy	lèvy	ADJ
iajs-3099	298	10	distribution	distribution	NOUN
iajs-3099	298	11	to	to	PART
iajs-3099	298	12	analyze	analyze	VERB
iajs-3099	298	13	longitudinal	longitudinal	ADJ
iajs-3099	298	14	data	datum	NOUN
iajs-3099	298	15	with	with	ADP
iajs-3099	298	16	asymmetric	asymmetric	ADJ
iajs-3099	298	17	distribution	distribution	NOUN
iajs-3099	298	18	and	and	CCONJ
iajs-3099	298	19	presence	presence	NOUN
iajs-3099	298	20	of	of	ADP
iajs-3099	298	21	left	left	ADJ
iajs-3099	298	22	censored	censored	ADJ
iajs-3099	298	23	data	datum	NOUN
iajs-3099	298	24	.	.	PUNCT
iajs-3099	299	1	communications	communication	NOUN
iajs-3099	299	2	for	for	ADP
iajs-3099	299	3	statistical	statistical	ADJ
iajs-3099	299	4	applications	application	NOUN
iajs-3099	299	5	and	and	CCONJ
iajs-3099	299	6	methods	method	NOUN
iajs-3099	299	7	,	,	PUNCT
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iajs-3099	299	9	,	,	PUNCT
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iajs-3099	299	12	1	1	NUM
iajs-3099	299	13	(	(	PUNCT
iajs-3099	299	14	,	,	PUNCT
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iajs-3099	299	16	.	.	PUNCT
iajs-3099	300	1	https://doi.org/10.1063/1.5136185	https://doi.org/10.1063/1.5136185	PROPN
iajs-3099	300	2	ihjpas	ihjpas	PROPN
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iajs-3099	301	1	36	36	NUM
iajs-3099	301	2	(	(	PUNCT
iajs-3099	301	3	3	3	NUM
iajs-3099	301	4	)	)	PUNCT
iajs-3099	301	5	2023	2023	NUM
iajs-3099	301	6	348	348	NUM
iajs-3099	301	7	16	16	NUM
iajs-3099	301	8	.	.	PUNCT
iajs-3099	302	1	calabria	calabria	PROPN
iajs-3099	302	2	r.	r.	PROPN
iajs-3099	302	3	;	;	PUNCT
iajs-3099	302	4	pulcini	pulcini	PROPN
iajs-3099	302	5	g.	g.	PROPN
iajs-3099	302	6	;	;	PUNCT
iajs-3099	302	7	an	an	DET
iajs-3099	302	8	engineering	engineering	NOUN
iajs-3099	302	9	approach	approach	NOUN
iajs-3099	302	10	to	to	ADP
iajs-3099	302	11	bayes	bayes	PROPN
iajs-3099	302	12	estimation	estimation	NOUN
iajs-3099	302	13	for	for	ADP
iajs-3099	302	14	the	the	DET
iajs-3099	302	15	weibull	weibull	PROPN
iajs-3099	302	16	distribution	distribution	NOUN
iajs-3099	302	17	.	.	PUNCT
iajs-3099	303	1	microelectronics	microelectronic	NOUN
iajs-3099	303	2	reliability.1994	reliability.1994	PROPN
iajs-3099	303	3	,	,	PUNCT
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iajs-3099	303	6	,	,	PUNCT
iajs-3099	303	7	789–802	789–802	NUM
iajs-3099	303	8	.	.	PUNCT