id	sid	tid	token	lemma	pos
ajase-4235	1	1	pa	pa	PROPN
ajase-4235	1	2	ge	ge	PROPN
ajase-4235	1	3	1	1	NUM
ajase-4235	1	4	pa	pa	PROPN
ajase-4235	1	5	ge	ge	PROPN
ajase-4235	1	6	65	65	NUM
ajase-4235	1	7	american	american	PROPN
ajase-4235	1	8	journal	journal	PROPN
ajase-4235	1	9	of	of	ADP
ajase-4235	1	10	applied	apply	VERB
ajase-4235	1	11	statistics	statistic	NOUN
ajase-4235	1	12	and	and	CCONJ
ajase-4235	1	13	economics	economic	NOUN
ajase-4235	1	14	(	(	PUNCT
ajase-4235	1	15	ajase	ajase	ADV
ajase-4235	1	16	)	)	PUNCT
ajase-4235	1	17	advancing	advance	VERB
ajase-4235	1	18	statistical	statistical	ADJ
ajase-4235	1	19	modelling	modelling	NOUN
ajase-4235	1	20	:	:	PUNCT
ajase-4235	1	21	a	a	DET
ajase-4235	1	22	comparative	comparative	ADJ
ajase-4235	1	23	study	study	NOUN
ajase-4235	1	24	of	of	ADP
ajase-4235	1	25	zero	zero	NUM
ajase-4235	1	26	-	-	PUNCT
ajase-4235	1	27	truncated	truncate	VERB
ajase-4235	1	28	distributions	distribution	NOUN
ajase-4235	1	29	in	in	ADP
ajase-4235	1	30	economic	economic	ADJ
ajase-4235	1	31	analysis	analysis	NOUN
ajase-4235	1	32	b.	b.	PROPN
ajase-4235	1	33	e.	e.	PROPN
ajase-4235	1	34	omokaro1	omokaro1	PROPN
ajase-4235	1	35	,	,	PUNCT
ajase-4235	1	36	c.	c.	PROPN
ajase-4235	1	37	o.	o.	PROPN
ajase-4235	1	38	aronu2	aronu2	PROPN
ajase-4235	2	1	*	*	PUNCT
ajase-4235	2	2	volume	volume	NOUN
ajase-4235	2	3	4	4	NUM
ajase-4235	2	4	issue	issue	NOUN
ajase-4235	2	5	1	1	NUM
ajase-4235	2	6	,	,	PUNCT
ajase-4235	2	7	year	year	NOUN
ajase-4235	2	8	2025	2025	NUM
ajase-4235	2	9	issn	issn	NOUN
ajase-4235	2	10	:	:	PUNCT
ajase-4235	2	11	2992	2992	NUM
ajase-4235	2	12	-	-	PUNCT
ajase-4235	2	13	927x	927x	NOUN
ajase-4235	2	14	(	(	PUNCT
ajase-4235	2	15	online	online	ADJ
ajase-4235	2	16	)	)	PUNCT
ajase-4235	2	17	doi	doi	NOUN
ajase-4235	2	18	:	:	PUNCT
ajase-4235	2	19	https://doi.org/10.54536/ajase.v4i1.4235	https://doi.org/10.54536/ajase.v4i1.4235	PROPN
ajase-4235	2	20	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-4235	2	21	article	article	NOUN
ajase-4235	2	22	information	information	NOUN
ajase-4235	2	23	abstract	abstract	ADV
ajase-4235	2	24	received	receive	VERB
ajase-4235	2	25	:	:	PUNCT
ajase-4235	2	26	december	december	PROPN
ajase-4235	2	27	19	19	NUM
ajase-4235	2	28	,	,	PUNCT
ajase-4235	2	29	2024	2024	NUM
ajase-4235	2	30	accepted	accept	VERB
ajase-4235	2	31	:	:	PUNCT
ajase-4235	2	32	january	january	PROPN
ajase-4235	2	33	21	21	NUM
ajase-4235	2	34	,	,	PUNCT
ajase-4235	2	35	2025	2025	NUM
ajase-4235	2	36	published	publish	VERB
ajase-4235	2	37	:	:	PUNCT
ajase-4235	2	38	july	july	PROPN
ajase-4235	2	39	03	03	NUM
ajase-4235	2	40	,	,	PUNCT
ajase-4235	2	41	2025	2025	NUM
ajase-4235	2	42	this	this	DET
ajase-4235	2	43	study	study	NOUN
ajase-4235	2	44	explores	explore	VERB
ajase-4235	2	45	the	the	DET
ajase-4235	2	46	application	application	NOUN
ajase-4235	2	47	of	of	ADP
ajase-4235	2	48	two	two	NUM
ajase-4235	2	49	zero	zero	NUM
ajase-4235	2	50	-	-	PUNCT
ajase-4235	2	51	truncated	truncate	VERB
ajase-4235	2	52	distributions	distribution	NOUN
ajase-4235	2	53	,	,	PUNCT
ajase-4235	2	54	geometric	geometric	ADJ
ajase-4235	2	55	-	-	PUNCT
ajase-4235	2	56	zero	zero	NUM
ajase-4235	2	57	truncated	truncated	ADJ
ajase-4235	2	58	poisson	poisson	NOUN
ajase-4235	2	59	(	(	PUNCT
ajase-4235	2	60	gztp	gztp	NOUN
ajase-4235	2	61	)	)	PUNCT
ajase-4235	2	62	and	and	CCONJ
ajase-4235	2	63	zero	zero	NUM
ajase-4235	2	64	-	-	PUNCT
ajase-4235	2	65	truncated	truncate	VERB
ajase-4235	2	66	poisson	poisson	NOUN
ajase-4235	2	67	pareto	pareto	NOUN
ajase-4235	2	68	(	(	PUNCT
ajase-4235	2	69	ztpp	ztpp	NOUN
ajase-4235	2	70	)	)	PUNCT
ajase-4235	2	71	,	,	PUNCT
ajase-4235	2	72	in	in	ADP
ajase-4235	2	73	modelling	model	VERB
ajase-4235	2	74	economic	economic	ADJ
ajase-4235	2	75	datasets	dataset	NOUN
ajase-4235	2	76	,	,	PUNCT
ajase-4235	2	77	with	with	ADP
ajase-4235	2	78	a	a	DET
ajase-4235	2	79	particular	particular	ADJ
ajase-4235	2	80	focus	focus	NOUN
ajase-4235	2	81	on	on	ADP
ajase-4235	2	82	nigeria	nigeria	PROPN
ajase-4235	2	83	’s	’s	PART
ajase-4235	2	84	key	key	ADJ
ajase-4235	2	85	economic	economic	ADJ
ajase-4235	2	86	indicators	indicator	NOUN
ajase-4235	2	87	.	.	PUNCT
ajase-4235	3	1	secondary	secondary	ADJ
ajase-4235	3	2	data	datum	NOUN
ajase-4235	3	3	from	from	ADP
ajase-4235	3	4	the	the	DET
ajase-4235	3	5	central	central	ADJ
ajase-4235	3	6	bank	bank	PROPN
ajase-4235	3	7	of	of	ADP
ajase-4235	3	8	nigeria	nigeria	PROPN
ajase-4235	3	9	’s	’s	PART
ajase-4235	3	10	statistical	statistical	ADJ
ajase-4235	3	11	bulletin	bulletin	NOUN
ajase-4235	3	12	(	(	PUNCT
ajase-4235	3	13	2021	2021	NUM
ajase-4235	3	14	)	)	PUNCT
ajase-4235	3	15	,	,	PUNCT
ajase-4235	3	16	spanning	span	VERB
ajase-4235	3	17	from	from	ADP
ajase-4235	3	18	1989	1989	NUM
ajase-4235	3	19	to	to	ADP
ajase-4235	3	20	2020	2020	NUM
ajase-4235	3	21	,	,	PUNCT
ajase-4235	3	22	was	be	AUX
ajase-4235	3	23	used	use	VERB
ajase-4235	3	24	,	,	PUNCT
ajase-4235	3	25	covering	cover	VERB
ajase-4235	3	26	variables	variable	NOUN
ajase-4235	3	27	such	such	ADJ
ajase-4235	3	28	as	as	ADP
ajase-4235	3	29	real	real	ADJ
ajase-4235	3	30	gross	gross	ADJ
ajase-4235	3	31	domestic	domestic	ADJ
ajase-4235	3	32	product	product	NOUN
ajase-4235	3	33	(	(	PUNCT
ajase-4235	3	34	rgdp	rgdp	NOUN
ajase-4235	3	35	)	)	PUNCT
ajase-4235	3	36	,	,	PUNCT
ajase-4235	3	37	export	export	NOUN
ajase-4235	3	38	and	and	CCONJ
ajase-4235	3	39	import	import	NOUN
ajase-4235	3	40	goods	good	NOUN
ajase-4235	3	41	,	,	PUNCT
ajase-4235	3	42	money	money	NOUN
ajase-4235	3	43	supply	supply	NOUN
ajase-4235	3	44	,	,	PUNCT
ajase-4235	3	45	and	and	CCONJ
ajase-4235	3	46	brent	brent	PROPN
ajase-4235	3	47	crude	crude	ADJ
ajase-4235	3	48	oil	oil	NOUN
ajase-4235	3	49	prices	price	NOUN
ajase-4235	3	50	.	.	PUNCT
ajase-4235	4	1	the	the	DET
ajase-4235	4	2	objectives	objective	NOUN
ajase-4235	4	3	were	be	AUX
ajase-4235	4	4	to	to	PART
ajase-4235	4	5	:	:	PUNCT
ajase-4235	4	6	introduce	introduce	VERB
ajase-4235	4	7	and	and	CCONJ
ajase-4235	4	8	describe	describe	VERB
ajase-4235	4	9	the	the	DET
ajase-4235	4	10	mathematical	mathematical	ADJ
ajase-4235	4	11	properties	property	NOUN
ajase-4235	4	12	of	of	ADP
ajase-4235	4	13	the	the	DET
ajase-4235	4	14	gztp	gztp	NOUN
ajase-4235	4	15	and	and	CCONJ
ajase-4235	4	16	ztpp	ztpp	NOUN
ajase-4235	4	17	distributions	distribution	NOUN
ajase-4235	4	18	;	;	PUNCT
ajase-4235	4	19	compare	compare	VERB
ajase-4235	4	20	the	the	DET
ajase-4235	4	21	performance	performance	NOUN
ajase-4235	4	22	of	of	ADP
ajase-4235	4	23	these	these	DET
ajase-4235	4	24	distributions	distribution	NOUN
ajase-4235	4	25	across	across	ADP
ajase-4235	4	26	datasets	dataset	NOUN
ajase-4235	4	27	using	use	VERB
ajase-4235	4	28	metrics	metric	NOUN
ajase-4235	4	29	such	such	ADJ
ajase-4235	4	30	as	as	ADP
ajase-4235	4	31	aic	aic	PROPN
ajase-4235	4	32	,	,	PUNCT
ajase-4235	4	33	bic	bic	PROPN
ajase-4235	4	34	,	,	PUNCT
ajase-4235	4	35	and	and	CCONJ
ajase-4235	4	36	mse	mse	NOUN
ajase-4235	4	37	;	;	PUNCT
ajase-4235	4	38	and	and	CCONJ
ajase-4235	4	39	recommend	recommend	VERB
ajase-4235	4	40	the	the	DET
ajase-4235	4	41	most	most	ADV
ajase-4235	4	42	efficient	efficient	ADJ
ajase-4235	4	43	distribution	distribution	NOUN
ajase-4235	4	44	for	for	ADP
ajase-4235	4	45	modelling	model	VERB
ajase-4235	4	46	economic	economic	ADJ
ajase-4235	4	47	variables	variable	NOUN
ajase-4235	4	48	and	and	CCONJ
ajase-4235	4	49	predicting	predict	VERB
ajase-4235	4	50	trends	trend	NOUN
ajase-4235	4	51	.	.	PUNCT
ajase-4235	5	1	the	the	DET
ajase-4235	5	2	study	study	NOUN
ajase-4235	5	3	employs	employ	VERB
ajase-4235	5	4	the	the	DET
ajase-4235	5	5	maximum	maximum	ADJ
ajase-4235	5	6	likelihood	likelihood	NOUN
ajase-4235	5	7	estimation	estimation	NOUN
ajase-4235	5	8	(	(	PUNCT
ajase-4235	5	9	mle	mle	PROPN
ajase-4235	5	10	)	)	PUNCT
ajase-4235	5	11	method	method	NOUN
ajase-4235	5	12	for	for	ADP
ajase-4235	5	13	parameter	parameter	NOUN
ajase-4235	5	14	estimation	estimation	NOUN
ajase-4235	5	15	,	,	PUNCT
ajase-4235	5	16	implemented	implement	VERB
ajase-4235	5	17	in	in	ADP
ajase-4235	5	18	r	r	NOUN
ajase-4235	5	19	programming	programming	NOUN
ajase-4235	5	20	.	.	PUNCT
ajase-4235	6	1	model	model	NOUN
ajase-4235	6	2	performance	performance	NOUN
ajase-4235	6	3	was	be	AUX
ajase-4235	6	4	evaluated	evaluate	VERB
ajase-4235	6	5	using	use	VERB
ajase-4235	6	6	the	the	DET
ajase-4235	6	7	akaike	akaike	ADJ
ajase-4235	6	8	information	information	NOUN
ajase-4235	6	9	criterion	criterion	NOUN
ajase-4235	6	10	(	(	PUNCT
ajase-4235	6	11	aic	aic	PROPN
ajase-4235	6	12	)	)	PUNCT
ajase-4235	6	13	,	,	PUNCT
ajase-4235	6	14	bayesian	bayesian	NOUN
ajase-4235	6	15	information	information	NOUN
ajase-4235	6	16	criterion	criterion	NOUN
ajase-4235	6	17	(	(	PUNCT
ajase-4235	6	18	bic	bic	NOUN
ajase-4235	6	19	)	)	PUNCT
ajase-4235	6	20	,	,	PUNCT
ajase-4235	6	21	and	and	CCONJ
ajase-4235	6	22	mean	mean	VERB
ajase-4235	6	23	squared	square	VERB
ajase-4235	6	24	error	error	NOUN
ajase-4235	6	25	(	(	PUNCT
ajase-4235	6	26	mse	mse	NOUN
ajase-4235	6	27	)	)	PUNCT
ajase-4235	6	28	.	.	PUNCT
ajase-4235	7	1	the	the	DET
ajase-4235	7	2	results	result	NOUN
ajase-4235	7	3	indicate	indicate	VERB
ajase-4235	7	4	that	that	SCONJ
ajase-4235	7	5	the	the	DET
ajase-4235	7	6	ztpp	ztpp	NOUN
ajase-4235	7	7	distribution	distribution	NOUN
ajase-4235	7	8	outperforms	outperform	VERB
ajase-4235	7	9	the	the	DET
ajase-4235	7	10	gztp	gztp	NOUN
ajase-4235	7	11	distribution	distribution	NOUN
ajase-4235	7	12	across	across	ADP
ajase-4235	7	13	all	all	DET
ajase-4235	7	14	datasets	dataset	NOUN
ajase-4235	7	15	,	,	PUNCT
ajase-4235	7	16	with	with	ADP
ajase-4235	7	17	significantly	significantly	ADV
ajase-4235	7	18	lower	low	ADJ
ajase-4235	7	19	aic	aic	PROPN
ajase-4235	7	20	,	,	PUNCT
ajase-4235	7	21	bic	bic	PROPN
ajase-4235	7	22	,	,	PUNCT
ajase-4235	7	23	and	and	CCONJ
ajase-4235	7	24	mse	mse	NOUN
ajase-4235	7	25	values	value	NOUN
ajase-4235	7	26	.	.	PUNCT
ajase-4235	8	1	specifically	specifically	ADV
ajase-4235	8	2	,	,	PUNCT
ajase-4235	8	3	the	the	DET
ajase-4235	8	4	ztpp	ztpp	NOUN
ajase-4235	8	5	achieved	achieve	VERB
ajase-4235	8	6	an	an	DET
ajase-4235	8	7	average	average	ADJ
ajase-4235	8	8	aic	aic	PROPN
ajase-4235	8	9	of	of	ADP
ajase-4235	8	10	-1422.54	-1422.54	PROPN
ajase-4235	8	11	,	,	PUNCT
ajase-4235	8	12	bic	bic	PROPN
ajase-4235	8	13	of	of	ADP
ajase-4235	8	14	-1422.55	-1422.55	PROPN
ajase-4235	8	15	,	,	PUNCT
ajase-4235	8	16	and	and	CCONJ
ajase-4235	8	17	mse	mse	NOUN
ajase-4235	8	18	of	of	ADP
ajase-4235	8	19	30,161.94	30,161.94	PROPN
ajase-4235	8	20	,	,	PUNCT
ajase-4235	8	21	compared	compare	VERB
ajase-4235	8	22	to	to	ADP
ajase-4235	8	23	the	the	DET
ajase-4235	8	24	gztp	gztp	NOUN
ajase-4235	8	25	’s	’s	PART
ajase-4235	8	26	-766.39	-766.39	PROPN
ajase-4235	8	27	,	,	PUNCT
ajase-4235	8	28	-762.82	-762.82	PROPN
ajase-4235	8	29	,	,	PUNCT
ajase-4235	8	30	and	and	CCONJ
ajase-4235	8	31	31,163.2	31,163.2	NUM
ajase-4235	8	32	,	,	PUNCT
ajase-4235	8	33	respectively	respectively	ADV
ajase-4235	8	34	.	.	PUNCT
ajase-4235	9	1	these	these	DET
ajase-4235	9	2	findings	finding	NOUN
ajase-4235	9	3	highlight	highlight	VERB
ajase-4235	9	4	the	the	DET
ajase-4235	9	5	superior	superior	ADJ
ajase-4235	9	6	model	model	NOUN
ajase-4235	9	7	fit	fit	ADJ
ajase-4235	9	8	and	and	CCONJ
ajase-4235	9	9	predictive	predictive	ADJ
ajase-4235	9	10	accuracy	accuracy	NOUN
ajase-4235	9	11	of	of	ADP
ajase-4235	9	12	the	the	DET
ajase-4235	9	13	ztpp	ztpp	NOUN
ajase-4235	9	14	distribution	distribution	NOUN
ajase-4235	9	15	,	,	PUNCT
ajase-4235	9	16	making	make	VERB
ajase-4235	9	17	it	it	PRON
ajase-4235	9	18	a	a	DET
ajase-4235	9	19	more	more	ADV
ajase-4235	9	20	robust	robust	ADJ
ajase-4235	9	21	tool	tool	NOUN
ajase-4235	9	22	for	for	ADP
ajase-4235	9	23	economic	economic	ADJ
ajase-4235	9	24	analysis	analysis	NOUN
ajase-4235	9	25	,	,	PUNCT
ajase-4235	9	26	particularly	particularly	ADV
ajase-4235	9	27	in	in	ADP
ajase-4235	9	28	cases	case	NOUN
ajase-4235	9	29	where	where	SCONJ
ajase-4235	9	30	zero	zero	NUM
ajase-4235	9	31	occurrences	occurrence	NOUN
ajase-4235	9	32	are	be	AUX
ajase-4235	9	33	impossible	impossible	ADJ
ajase-4235	9	34	.	.	PUNCT
ajase-4235	10	1	this	this	DET
ajase-4235	10	2	comparative	comparative	ADJ
ajase-4235	10	3	study	study	NOUN
ajase-4235	10	4	underscores	underscore	VERB
ajase-4235	10	5	the	the	DET
ajase-4235	10	6	importance	importance	NOUN
ajase-4235	10	7	of	of	ADP
ajase-4235	10	8	choosing	choose	VERB
ajase-4235	10	9	the	the	DET
ajase-4235	10	10	right	right	ADJ
ajase-4235	10	11	distribution	distribution	NOUN
ajase-4235	10	12	for	for	ADP
ajase-4235	10	13	economic	economic	ADJ
ajase-4235	10	14	modelling	modelling	NOUN
ajase-4235	10	15	to	to	PART
ajase-4235	10	16	achieve	achieve	VERB
ajase-4235	10	17	high	high	ADJ
ajase-4235	10	18	accuracy	accuracy	NOUN
ajase-4235	10	19	and	and	CCONJ
ajase-4235	10	20	reliable	reliable	ADJ
ajase-4235	10	21	results	result	NOUN
ajase-4235	10	22	.	.	PUNCT
ajase-4235	11	1	keywords	keyword	VERB
ajase-4235	11	2	aic	aic	PROPN
ajase-4235	11	3	,	,	PUNCT
ajase-4235	11	4	economic	economic	ADJ
ajase-4235	11	5	analysis	analysis	NOUN
ajase-4235	11	6	,	,	PUNCT
ajase-4235	11	7	geometric	geometric	ADJ
ajase-4235	11	8	-	-	PUNCT
ajase-4235	11	9	zero	zero	NUM
ajase-4235	11	10	truncated	truncated	ADJ
ajase-4235	11	11	poisson	poisson	NOUN
ajase-4235	11	12	,	,	PUNCT
ajase-4235	11	13	maximum	maximum	ADJ
ajase-4235	11	14	likelihood	likelihood	NOUN
ajase-4235	11	15	estimation	estimation	NOUN
ajase-4235	11	16	,	,	PUNCT
ajase-4235	11	17	model	model	NOUN
ajase-4235	11	18	fit	fit	PROPN
ajase-4235	11	19	,	,	PUNCT
ajase-4235	11	20	mse	mse	NOUN
ajase-4235	11	21	,	,	PUNCT
ajase-4235	11	22	zero	zero	NUM
ajase-4235	11	23	-	-	PUNCT
ajase-4235	11	24	truncated	truncate	VERB
ajase-4235	11	25	poisson	poisson	NOUN
ajase-4235	11	26	pareto	pareto	VERB
ajase-4235	11	27	1	1	NUM
ajase-4235	11	28	department	department	NOUN
ajase-4235	11	29	of	of	ADP
ajase-4235	11	30	statistics	statistic	NOUN
ajase-4235	11	31	,	,	PUNCT
ajase-4235	11	32	delta	delta	NOUN
ajase-4235	11	33	state	state	NOUN
ajase-4235	11	34	polytechnic	polytechnic	ADJ
ajase-4235	11	35	,	,	PUNCT
ajase-4235	11	36	otefe	otefe	ADJ
ajase-4235	11	37	,	,	PUNCT
ajase-4235	11	38	oghara	oghara	PROPN
ajase-4235	11	39	,	,	PUNCT
ajase-4235	11	40	delta	delta	NOUN
ajase-4235	11	41	state	state	NOUN
ajase-4235	11	42	,	,	PUNCT
ajase-4235	11	43	nigeria	nigeria	PROPN
ajase-4235	11	44	2	2	NUM
ajase-4235	11	45	department	department	NOUN
ajase-4235	11	46	of	of	ADP
ajase-4235	11	47	statistics	statistic	NOUN
ajase-4235	11	48	,	,	PUNCT
ajase-4235	11	49	chukwuemeka	chukwuemeka	PROPN
ajase-4235	11	50	odumegwu	odumegwu	PROPN
ajase-4235	11	51	ojukwu	ojukwu	PROPN
ajase-4235	11	52	university	university	PROPN
ajase-4235	11	53	,	,	PUNCT
ajase-4235	11	54	uli	uli	PROPN
ajase-4235	11	55	,	,	PUNCT
ajase-4235	11	56	anambra	anambra	PROPN
ajase-4235	11	57	state	state	PROPN
ajase-4235	11	58	,	,	PUNCT
ajase-4235	11	59	nigeria	nigeria	PROPN
ajase-4235	11	60	*	*	PUNCT
ajase-4235	11	61	corresponding	correspond	VERB
ajase-4235	11	62	author	author	NOUN
ajase-4235	11	63	’s	’s	PART
ajase-4235	11	64	e	e	NOUN
ajase-4235	11	65	-	-	NOUN
ajase-4235	11	66	mail	mail	NOUN
ajase-4235	11	67	:	:	PUNCT
ajase-4235	11	68	amaro4baya@yahoo.com	amaro4baya@yahoo.com	VERB
ajase-4235	11	69	introduction	introduction	NOUN
ajase-4235	11	70	considering	consider	VERB
ajase-4235	11	71	the	the	DET
ajase-4235	11	72	growing	grow	VERB
ajase-4235	11	73	significance	significance	NOUN
ajase-4235	11	74	of	of	ADP
ajase-4235	11	75	zero	zero	NUM
ajase-4235	11	76	-	-	PUNCT
ajase-4235	11	77	truncated	truncate	VERB
ajase-4235	11	78	distributions	distribution	NOUN
ajase-4235	11	79	in	in	ADP
ajase-4235	11	80	econometrics	econometrics	NOUN
ajase-4235	11	81	and	and	CCONJ
ajase-4235	11	82	economic	economic	ADJ
ajase-4235	11	83	forecasting	forecasting	NOUN
ajase-4235	11	84	.	.	PUNCT
ajase-4235	12	1	the	the	DET
ajase-4235	12	2	zero	zero	NUM
ajase-4235	12	3	-	-	PUNCT
ajase-4235	12	4	truncated	truncate	VERB
ajase-4235	12	5	distributions	distribution	NOUN
ajase-4235	12	6	,	,	PUNCT
ajase-4235	12	7	including	include	VERB
ajase-4235	12	8	the	the	DET
ajase-4235	12	9	zerotruncated	zerotruncated	ADJ
ajase-4235	12	10	poisson	poisson	NOUN
ajase-4235	12	11	(	(	PUNCT
ajase-4235	12	12	ztp	ztp	PROPN
ajase-4235	12	13	)	)	PUNCT
ajase-4235	12	14	,	,	PUNCT
ajase-4235	12	15	gamma	gamma	NOUN
ajase-4235	12	16	zero	zero	NUM
ajase-4235	12	17	-	-	PUNCT
ajase-4235	12	18	truncated	truncate	VERB
ajase-4235	12	19	poisson	poisson	NOUN
ajase-4235	12	20	(	(	PUNCT
ajase-4235	12	21	gztp	gztp	NOUN
ajase-4235	12	22	)	)	PUNCT
ajase-4235	12	23	,	,	PUNCT
ajase-4235	12	24	and	and	CCONJ
ajase-4235	12	25	zero	zero	NUM
ajase-4235	12	26	-	-	PUNCT
ajase-4235	12	27	truncated	truncate	VERB
ajase-4235	12	28	poisson	poisson	NOUN
ajase-4235	12	29	pareto	pareto	NOUN
ajase-4235	12	30	(	(	PUNCT
ajase-4235	12	31	ztpp	ztpp	NOUN
ajase-4235	12	32	)	)	PUNCT
ajase-4235	12	33	distributions	distribution	NOUN
ajase-4235	12	34	,	,	PUNCT
ajase-4235	12	35	have	have	AUX
ajase-4235	12	36	garnered	garner	VERB
ajase-4235	12	37	attention	attention	NOUN
ajase-4235	12	38	for	for	ADP
ajase-4235	12	39	their	their	PRON
ajase-4235	12	40	ability	ability	NOUN
ajase-4235	12	41	to	to	PART
ajase-4235	12	42	model	model	VERB
ajase-4235	12	43	count	count	NOUN
ajase-4235	12	44	data	datum	NOUN
ajase-4235	12	45	that	that	PRON
ajase-4235	12	46	exclude	exclude	VERB
ajase-4235	12	47	zero	zero	NUM
ajase-4235	12	48	observations	observation	NOUN
ajase-4235	12	49	,	,	PUNCT
ajase-4235	12	50	a	a	DET
ajase-4235	12	51	common	common	ADJ
ajase-4235	12	52	occurrence	occurrence	NOUN
ajase-4235	12	53	in	in	ADP
ajase-4235	12	54	economic	economic	ADJ
ajase-4235	12	55	datasets	dataset	NOUN
ajase-4235	12	56	.	.	PUNCT
ajase-4235	13	1	recent	recent	ADJ
ajase-4235	13	2	advancements	advancement	NOUN
ajase-4235	13	3	in	in	ADP
ajase-4235	13	4	these	these	DET
ajase-4235	13	5	models	model	NOUN
ajase-4235	13	6	,	,	PUNCT
ajase-4235	13	7	such	such	ADJ
ajase-4235	13	8	as	as	ADP
ajase-4235	13	9	the	the	DET
ajase-4235	13	10	work	work	NOUN
ajase-4235	13	11	by	by	ADP
ajase-4235	13	12	niyomdecha	niyomdecha	NOUN
ajase-4235	13	13	and	and	CCONJ
ajase-4235	13	14	srisuradetchai	srisuradetchai	ADJ
ajase-4235	13	15	(	(	PUNCT
ajase-4235	13	16	2023	2023	NUM
ajase-4235	13	17	)	)	PUNCT
ajase-4235	13	18	,	,	PUNCT
ajase-4235	13	19	who	who	PRON
ajase-4235	13	20	introduced	introduce	VERB
ajase-4235	13	21	the	the	DET
ajase-4235	13	22	complementary	complementary	ADJ
ajase-4235	13	23	gamma	gamma	NOUN
ajase-4235	13	24	zero	zero	NUM
ajase-4235	13	25	-	-	PUNCT
ajase-4235	13	26	truncated	truncate	VERB
ajase-4235	13	27	poisson	poisson	NOUN
ajase-4235	13	28	(	(	PUNCT
ajase-4235	13	29	cgztp	cgztp	NOUN
ajase-4235	13	30	)	)	PUNCT
ajase-4235	13	31	distribution	distribution	NOUN
ajase-4235	13	32	,	,	PUNCT
ajase-4235	13	33	have	have	AUX
ajase-4235	13	34	demonstrated	demonstrate	VERB
ajase-4235	13	35	the	the	DET
ajase-4235	13	36	effectiveness	effectiveness	NOUN
ajase-4235	13	37	of	of	ADP
ajase-4235	13	38	these	these	DET
ajase-4235	13	39	distributions	distribution	NOUN
ajase-4235	13	40	in	in	ADP
ajase-4235	13	41	modelling	model	VERB
ajase-4235	13	42	lifetime	lifetime	NOUN
ajase-4235	13	43	and	and	CCONJ
ajase-4235	13	44	economic	economic	ADJ
ajase-4235	13	45	data	datum	NOUN
ajase-4235	13	46	.	.	PUNCT
ajase-4235	14	1	the	the	DET
ajase-4235	14	2	research	research	NOUN
ajase-4235	14	3	by	by	ADP
ajase-4235	14	4	niyomdecha	niyomdecha	PROPN
ajase-4235	14	5	et	et	PROPN
ajase-4235	14	6	al	al	PROPN
ajase-4235	14	7	.	.	PROPN
ajase-4235	14	8	(	(	PUNCT
ajase-4235	14	9	2023	2023	NUM
ajase-4235	14	10	)	)	PUNCT
ajase-4235	14	11	proposed	propose	VERB
ajase-4235	14	12	the	the	DET
ajase-4235	14	13	gamma	gamma	NOUN
ajase-4235	14	14	zerotruncated	zerotruncate	VERB
ajase-4235	14	15	poisson	poisson	NOUN
ajase-4235	14	16	(	(	PUNCT
ajase-4235	14	17	gztp	gztp	NOUN
ajase-4235	14	18	)	)	PUNCT
ajase-4235	14	19	distribution	distribution	NOUN
ajase-4235	14	20	,	,	PUNCT
ajase-4235	14	21	combining	combine	VERB
ajase-4235	14	22	gamma	gamma	NOUN
ajase-4235	14	23	and	and	CCONJ
ajase-4235	14	24	zero	zero	NUM
ajase-4235	14	25	-	-	PUNCT
ajase-4235	14	26	truncated	truncate	VERB
ajase-4235	14	27	poisson	poisson	NOUN
ajase-4235	14	28	distributions	distribution	NOUN
ajase-4235	14	29	using	use	VERB
ajase-4235	14	30	the	the	DET
ajase-4235	14	31	minimum	minimum	ADJ
ajase-4235	14	32	function	function	NOUN
ajase-4235	14	33	.	.	PUNCT
ajase-4235	15	1	their	their	PRON
ajase-4235	15	2	study	study	NOUN
ajase-4235	15	3	explored	explore	VERB
ajase-4235	15	4	the	the	DET
ajase-4235	15	5	distribution	distribution	NOUN
ajase-4235	15	6	’s	’s	PART
ajase-4235	15	7	characteristics	characteristic	NOUN
ajase-4235	15	8	,	,	PUNCT
ajase-4235	15	9	including	include	VERB
ajase-4235	15	10	hazard	hazard	NOUN
ajase-4235	15	11	function	function	NOUN
ajase-4235	15	12	and	and	CCONJ
ajase-4235	15	13	mle	mle	PROPN
ajase-4235	15	14	estimation	estimation	PROPN
ajase-4235	15	15	,	,	PUNCT
ajase-4235	15	16	with	with	ADP
ajase-4235	15	17	simulation	simulation	NOUN
ajase-4235	15	18	tests	test	NOUN
ajase-4235	15	19	confirming	confirm	VERB
ajase-4235	15	20	its	its	PRON
ajase-4235	15	21	adaptability	adaptability	NOUN
ajase-4235	15	22	in	in	ADP
ajase-4235	15	23	modelling	model	VERB
ajase-4235	15	24	lifetime	lifetime	NOUN
ajase-4235	15	25	data	datum	NOUN
ajase-4235	15	26	.	.	PUNCT
ajase-4235	16	1	ngamkham	ngamkham	PROPN
ajase-4235	16	2	and	and	CCONJ
ajase-4235	16	3	panta	panta	PROPN
ajase-4235	16	4	(	(	PUNCT
ajase-4235	16	5	2023	2023	NUM
ajase-4235	16	6	)	)	PUNCT
ajase-4235	16	7	addressed	address	VERB
ajase-4235	16	8	the	the	DET
ajase-4235	16	9	estimation	estimation	NOUN
ajase-4235	16	10	challenges	challenge	NOUN
ajase-4235	16	11	of	of	ADP
ajase-4235	16	12	the	the	DET
ajase-4235	16	13	zero	zero	NUM
ajase-4235	16	14	-	-	PUNCT
ajase-4235	16	15	truncated	truncate	VERB
ajase-4235	16	16	poisson	poisson	NOUN
ajase-4235	16	17	(	(	PUNCT
ajase-4235	16	18	ztp	ztp	NOUN
ajase-4235	16	19	)	)	PUNCT
ajase-4235	16	20	distribution	distribution	NOUN
ajase-4235	16	21	,	,	PUNCT
ajase-4235	16	22	proposing	propose	VERB
ajase-4235	16	23	a	a	DET
ajase-4235	16	24	delta	delta	NOUN
ajase-4235	16	25	method	method	NOUN
ajase-4235	16	26	for	for	ADP
ajase-4235	16	27	parameter	parameter	NOUN
ajase-4235	16	28	estimation	estimation	NOUN
ajase-4235	16	29	,	,	PUNCT
ajase-4235	16	30	which	which	PRON
ajase-4235	16	31	was	be	AUX
ajase-4235	16	32	applied	apply	VERB
ajase-4235	16	33	to	to	ADP
ajase-4235	16	34	a	a	DET
ajase-4235	16	35	real	real	ADJ
ajase-4235	16	36	dataset	dataset	NOUN
ajase-4235	16	37	on	on	ADP
ajase-4235	16	38	unrest	unrest	NOUN
ajase-4235	16	39	events	event	NOUN
ajase-4235	16	40	in	in	ADP
ajase-4235	16	41	southern	southern	ADJ
ajase-4235	16	42	thailand	thailand	PROPN
ajase-4235	16	43	.	.	PUNCT
ajase-4235	17	1	similarly	similarly	ADV
ajase-4235	17	2	,	,	PUNCT
ajase-4235	17	3	the	the	DET
ajase-4235	17	4	development	development	NOUN
ajase-4235	17	5	of	of	ADP
ajase-4235	17	6	the	the	DET
ajase-4235	17	7	ztpp	ztpp	NOUN
ajase-4235	17	8	distribution	distribution	NOUN
ajase-4235	17	9	by	by	ADP
ajase-4235	17	10	badr	badr	PROPN
ajase-4235	17	11	et	et	PROPN
ajase-4235	17	12	al	al	PROPN
ajase-4235	17	13	.	.	PROPN
ajase-4235	18	1	(	(	PUNCT
ajase-4235	18	2	2023	2023	NUM
ajase-4235	18	3	)	)	PUNCT
ajase-4235	18	4	has	have	AUX
ajase-4235	18	5	provided	provide	VERB
ajase-4235	18	6	superior	superior	ADJ
ajase-4235	18	7	fit	fit	ADJ
ajase-4235	18	8	metrics	metric	NOUN
ajase-4235	18	9	,	,	PUNCT
ajase-4235	18	10	including	include	VERB
ajase-4235	18	11	akaike	akaike	ADP
ajase-4235	18	12	information	information	NOUN
ajase-4235	18	13	criteria	criterion	NOUN
ajase-4235	18	14	(	(	PUNCT
ajase-4235	18	15	aic	aic	PROPN
ajase-4235	18	16	)	)	PUNCT
ajase-4235	18	17	and	and	CCONJ
ajase-4235	18	18	bayesian	bayesian	NOUN
ajase-4235	18	19	information	information	NOUN
ajase-4235	18	20	criterion	criterion	NOUN
ajase-4235	18	21	(	(	PUNCT
ajase-4235	18	22	bic	bic	PROPN
ajase-4235	18	23	)	)	PUNCT
ajase-4235	18	24	,	,	PUNCT
ajase-4235	18	25	when	when	SCONJ
ajase-4235	18	26	applied	apply	VERB
ajase-4235	18	27	to	to	ADP
ajase-4235	18	28	economic	economic	ADJ
ajase-4235	18	29	datasets	dataset	NOUN
ajase-4235	18	30	.	.	PUNCT
ajase-4235	19	1	the	the	DET
ajase-4235	19	2	work	work	NOUN
ajase-4235	19	3	by	by	ADP
ajase-4235	19	4	panichkitkosolkul	panichkitkosolkul	PROPN
ajase-4235	19	5	(	(	PUNCT
ajase-4235	19	6	2023	2023	NUM
ajase-4235	19	7	)	)	PUNCT
ajase-4235	19	8	proposed	propose	VERB
ajase-4235	19	9	the	the	DET
ajase-4235	19	10	zero	zero	NUM
ajase-4235	19	11	-	-	PUNCT
ajase-4235	19	12	truncated	truncate	VERB
ajase-4235	19	13	poisson	poisson	NOUN
ajase-4235	19	14	-	-	PUNCT
ajase-4235	19	15	ishita	ishita	ADJ
ajase-4235	19	16	distribution	distribution	NOUN
ajase-4235	19	17	and	and	CCONJ
ajase-4235	19	18	evaluated	evaluate	VERB
ajase-4235	19	19	various	various	ADJ
ajase-4235	19	20	bootstrap	bootstrap	NOUN
ajase-4235	19	21	methods	method	NOUN
ajase-4235	19	22	for	for	ADP
ajase-4235	19	23	estimating	estimate	VERB
ajase-4235	19	24	confidence	confidence	NOUN
ajase-4235	19	25	intervals	interval	NOUN
ajase-4235	19	26	,	,	PUNCT
ajase-4235	19	27	concluding	conclude	VERB
ajase-4235	19	28	that	that	SCONJ
ajase-4235	19	29	the	the	DET
ajase-4235	19	30	simple	simple	ADJ
ajase-4235	19	31	bootstrap	bootstrap	NOUN
ajase-4235	19	32	approach	approach	NOUN
ajase-4235	19	33	was	be	AUX
ajase-4235	19	34	most	most	ADV
ajase-4235	19	35	efficient	efficient	ADJ
ajase-4235	19	36	for	for	ADP
ajase-4235	19	37	larger	large	ADJ
ajase-4235	19	38	sample	sample	NOUN
ajase-4235	19	39	sizes	size	NOUN
ajase-4235	19	40	.	.	PUNCT
ajase-4235	20	1	irshad	irshad	VERB
ajase-4235	20	2	et	et	PROPN
ajase-4235	20	3	al	al	PROPN
ajase-4235	20	4	.	.	PROPN
ajase-4235	21	1	(	(	PUNCT
ajase-4235	21	2	2023	2023	NUM
ajase-4235	21	3	)	)	PUNCT
ajase-4235	21	4	developed	develop	VERB
ajase-4235	21	5	the	the	DET
ajase-4235	21	6	lagrangian	lagrangian	ADJ
ajase-4235	21	7	intervened	intervene	VERB
ajase-4235	21	8	poisson	poisson	NOUN
ajase-4235	21	9	distribution	distribution	NOUN
ajase-4235	21	10	(	(	PUNCT
ajase-4235	21	11	lipd	lipd	PROPN
ajase-4235	21	12	)	)	PUNCT
ajase-4235	21	13	,	,	PUNCT
ajase-4235	21	14	a	a	DET
ajase-4235	21	15	generalized	generalized	ADJ
ajase-4235	21	16	approach	approach	NOUN
ajase-4235	21	17	for	for	ADP
ajase-4235	21	18	overdispersed	overdispersed	ADJ
ajase-4235	21	19	and	and	CCONJ
ajase-4235	21	20	under	under	ADV
ajase-4235	21	21	-	-	PUNCT
ajase-4235	21	22	dispersed	disperse	VERB
ajase-4235	21	23	datasets	dataset	NOUN
ajase-4235	21	24	,	,	PUNCT
ajase-4235	21	25	and	and	CCONJ
ajase-4235	21	26	showcased	showcase	VERB
ajase-4235	21	27	its	its	PRON
ajase-4235	21	28	application	application	NOUN
ajase-4235	21	29	using	use	VERB
ajase-4235	21	30	mle	mle	NOUN
ajase-4235	21	31	and	and	CCONJ
ajase-4235	21	32	simulations	simulation	NOUN
ajase-4235	21	33	.	.	PUNCT
ajase-4235	22	1	akdogan	akdogan	VERB
ajase-4235	22	2	et	et	PROPN
ajase-4235	22	3	al	al	PROPN
ajase-4235	22	4	.	.	PROPN
ajase-4235	23	1	(	(	PUNCT
ajase-4235	23	2	2019	2019	NUM
ajase-4235	23	3	)	)	PUNCT
ajase-4235	23	4	introduced	introduce	VERB
ajase-4235	23	5	the	the	DET
ajase-4235	23	6	geometric	geometric	ADJ
ajase-4235	23	7	-	-	PUNCT
ajase-4235	23	8	zero	zero	NUM
ajase-4235	23	9	truncated	truncated	ADJ
ajase-4235	23	10	poisson	poisson	NOUN
ajase-4235	23	11	(	(	PUNCT
ajase-4235	23	12	gztp	gztp	NOUN
ajase-4235	23	13	)	)	PUNCT
ajase-4235	23	14	distribution	distribution	NOUN
ajase-4235	23	15	,	,	PUNCT
ajase-4235	23	16	demonstrating	demonstrate	VERB
ajase-4235	23	17	its	its	PRON
ajase-4235	23	18	usefulness	usefulness	NOUN
ajase-4235	23	19	for	for	ADP
ajase-4235	23	20	discrete	discrete	ADJ
ajase-4235	23	21	systems	system	NOUN
ajase-4235	23	22	with	with	ADP
ajase-4235	23	23	increasing	increase	VERB
ajase-4235	23	24	hazard	hazard	NOUN
ajase-4235	23	25	rates	rate	NOUN
ajase-4235	23	26	.	.	PUNCT
ajase-4235	24	1	shukla	shukla	NOUN
ajase-4235	24	2	et	et	PROPN
ajase-4235	24	3	al	al	PROPN
ajase-4235	24	4	.	.	PROPN
ajase-4235	24	5	(	(	PUNCT
ajase-4235	24	6	2020	2020	NUM
ajase-4235	24	7	)	)	PUNCT
ajase-4235	24	8	adapted	adapt	VERB
ajase-4235	24	9	the	the	DET
ajase-4235	24	10	poisson	poisson	NOUN
ajase-4235	24	11	-	-	PUNCT
ajase-4235	24	12	ishita	ishita	ADJ
ajase-4235	24	13	distribution	distribution	NOUN
ajase-4235	24	14	to	to	ADP
ajase-4235	24	15	the	the	DET
ajase-4235	24	16	zerotruncated	zerotruncate	VERB
ajase-4235	24	17	poisson	poisson	NOUN
ajase-4235	24	18	-	-	PUNCT
ajase-4235	24	19	ishita	ishita	ADJ
ajase-4235	24	20	distribution	distribution	NOUN
ajase-4235	24	21	(	(	PUNCT
ajase-4235	24	22	ztpid	ztpid	NOUN
ajase-4235	24	23	)	)	PUNCT
ajase-4235	24	24	,	,	PUNCT
ajase-4235	24	25	showing	show	VERB
ajase-4235	24	26	its	its	PRON
ajase-4235	24	27	superior	superior	ADJ
ajase-4235	24	28	fit	fit	NOUN
ajase-4235	24	29	in	in	ADP
ajase-4235	24	30	count	count	NOUN
ajase-4235	24	31	data	datum	NOUN
ajase-4235	24	32	without	without	ADP
ajase-4235	24	33	zero	zero	NUM
ajase-4235	24	34	values	value	NOUN
ajase-4235	24	35	.	.	PUNCT
ajase-4235	25	1	agarwal	agarwal	PROPN
ajase-4235	25	2	and	and	CCONJ
ajase-4235	25	3	pandey	pandey	PROPN
ajase-4235	25	4	(	(	PUNCT
ajase-4235	25	5	2024	2024	NUM
ajase-4235	25	6	)	)	PUNCT
ajase-4235	25	7	introduced	introduce	VERB
ajase-4235	25	8	the	the	DET
ajase-4235	25	9	inflated	inflated	ADJ
ajase-4235	25	10	zero	zero	NUM
ajase-4235	25	11	-	-	PUNCT
ajase-4235	25	12	truncated	truncate	VERB
ajase-4235	25	13	poisson	poisson	NOUN
ajase-4235	25	14	ailamujia	ailamujia	NOUN
ajase-4235	25	15	distribution	distribution	NOUN
ajase-4235	25	16	(	(	PUNCT
ajase-4235	25	17	imztpad	imztpad	NOUN
ajase-4235	25	18	)	)	PUNCT
ajase-4235	25	19	,	,	PUNCT
ajase-4235	25	20	which	which	PRON
ajase-4235	25	21	demonstrated	demonstrate	VERB
ajase-4235	25	22	a	a	DET
ajase-4235	25	23	better	well	ADJ
ajase-4235	25	24	fit	fit	NOUN
ajase-4235	25	25	in	in	ADP
ajase-4235	25	26	modelling	model	VERB
ajase-4235	25	27	child	child	NOUN
ajase-4235	25	28	mortality	mortality	NOUN
ajase-4235	25	29	and	and	CCONJ
ajase-4235	25	30	genetic	genetic	ADJ
ajase-4235	25	31	count	count	NOUN
ajase-4235	25	32	data	datum	NOUN
ajase-4235	25	33	.	.	PUNCT
ajase-4235	26	1	panichkitkosolkul	panichkitkosolkul	PROPN
ajase-4235	26	2	(	(	PUNCT
ajase-4235	26	3	2024	2024	NUM
ajase-4235	26	4	)	)	PUNCT
ajase-4235	26	5	further	far	ADV
ajase-4235	26	6	investigated	investigate	VERB
ajase-4235	26	7	the	the	DET
ajase-4235	26	8	zero	zero	NUM
ajase-4235	26	9	-	-	PUNCT
ajase-4235	26	10	truncated	truncate	VERB
ajase-4235	26	11	poisson	poisson	NOUN
ajase-4235	26	12	-	-	NOUN
ajase-4235	26	13	lindley	lindley	PROPN
ajase-4235	26	14	(	(	PUNCT
ajase-4235	26	15	ztpl	ztpl	NOUN
ajase-4235	26	16	)	)	PUNCT
ajase-4235	26	17	distribution	distribution	NOUN
ajase-4235	26	18	and	and	CCONJ
ajase-4235	26	19	found	find	VERB
ajase-4235	26	20	that	that	SCONJ
ajase-4235	26	21	non	non	ADJ
ajase-4235	26	22	-	-	ADJ
ajase-4235	26	23	parametric	parametric	ADJ
ajase-4235	26	24	bootstrap	bootstrap	NOUN
ajase-4235	26	25	methods	method	NOUN
ajase-4235	26	26	performed	perform	VERB
ajase-4235	26	27	best	good	ADJ
ajase-4235	26	28	for	for	ADP
ajase-4235	26	29	larger	large	ADJ
ajase-4235	26	30	sample	sample	NOUN
ajase-4235	26	31	sizes	size	NOUN
ajase-4235	26	32	.	.	PUNCT
ajase-4235	27	1	pankaj	pankaj	NOUN
ajase-4235	27	2	et	et	PROPN
ajase-4235	27	3	al	al	PROPN
ajase-4235	27	4	.	.	PROPN
ajase-4235	28	1	(	(	PUNCT
ajase-4235	28	2	2023	2023	NUM
ajase-4235	28	3	)	)	PUNCT
ajase-4235	28	4	examined	examine	VERB
ajase-4235	28	5	system	system	NOUN
ajase-4235	28	6	reliability	reliability	NOUN
ajase-4235	28	7	using	use	VERB
ajase-4235	28	8	a	a	DET
ajase-4235	28	9	dual	dual	ADJ
ajase-4235	28	10	repair	repair	NOUN
ajase-4235	28	11	technique	technique	NOUN
ajase-4235	28	12	and	and	CCONJ
ajase-4235	28	13	regenerative	regenerative	ADJ
ajase-4235	28	14	methodologies	methodology	NOUN
ajase-4235	28	15	,	,	PUNCT
ajase-4235	28	16	providing	provide	VERB
ajase-4235	28	17	insights	insight	NOUN
ajase-4235	28	18	into	into	ADP
ajase-4235	28	19	improving	improve	VERB
ajase-4235	28	20	system	system	NOUN
ajase-4235	28	21	reliability	reliability	NOUN
ajase-4235	28	22	.	.	PUNCT
ajase-4235	29	1	ghosh	ghosh	PROPN
ajase-4235	29	2	et	et	PROPN
ajase-4235	29	3	al	al	PROPN
ajase-4235	29	4	.	.	PROPN
ajase-4235	30	1	(	(	PUNCT
ajase-4235	30	2	2023	2023	NUM
ajase-4235	30	3	)	)	PUNCT
ajase-4235	30	4	introduced	introduce	VERB
ajase-4235	30	5	a	a	DET
ajase-4235	30	6	bivariate	bivariate	ADJ
ajase-4235	30	7	geometric	geometric	ADJ
ajase-4235	30	8	distribution	distribution	NOUN
ajase-4235	30	9	for	for	ADP
ajase-4235	30	10	negatively	negatively	ADV
ajase-4235	30	11	correlated	correlate	VERB
ajase-4235	30	12	count	count	NOUN
ajase-4235	30	13	data	datum	NOUN
ajase-4235	30	14	,	,	PUNCT
ajase-4235	30	15	and	and	CCONJ
ajase-4235	30	16	abbas	abbas	PROPN
ajase-4235	30	17	(	(	PUNCT
ajase-4235	30	18	2023	2023	NUM
ajase-4235	30	19	)	)	PUNCT
ajase-4235	30	20	proposed	propose	VERB
ajase-4235	30	21	a	a	DET
ajase-4235	30	22	bivariate	bivariate	ADJ
ajase-4235	30	23	generalized	generalized	ADJ
ajase-4235	30	24	geometric	geometric	ADJ
ajase-4235	30	25	distribution	distribution	NOUN
ajase-4235	30	26	pa	pa	PROPN
ajase-4235	30	27	ge	ge	PROPN
ajase-4235	30	28	66	66	NUM
ajase-4235	30	29	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-4235	30	30	am	be	AUX
ajase-4235	30	31	.	.	PUNCT
ajase-4235	31	1	j.	j.	PROPN
ajase-4235	31	2	appl	appl	PROPN
ajase-4235	31	3	.	.	PROPN
ajase-4235	32	1	stat	stat	PROPN
ajase-4235	32	2	.	.	PUNCT
ajase-4235	33	1	econ	econ	PROPN
ajase-4235	33	2	.	.	PUNCT
ajase-4235	34	1	4(1	4(1	X
ajase-4235	34	2	)	)	PUNCT
ajase-4235	34	3	65	65	NUM
ajase-4235	34	4	-	-	SYM
ajase-4235	34	5	69	69	NUM
ajase-4235	34	6	,	,	PUNCT
ajase-4235	34	7	2025	2025	NUM
ajase-4235	34	8	(	(	PUNCT
ajase-4235	34	9	bggd	bggd	NOUN
ajase-4235	34	10	)	)	PUNCT
ajase-4235	35	1	for	for	ADP
ajase-4235	35	2	correlated	correlate	VERB
ajase-4235	35	3	count	count	NOUN
ajase-4235	35	4	data	datum	NOUN
ajase-4235	35	5	,	,	PUNCT
ajase-4235	35	6	utilizing	utilize	VERB
ajase-4235	35	7	a	a	DET
ajase-4235	35	8	bayesian	bayesian	NOUN
ajase-4235	35	9	approach	approach	NOUN
ajase-4235	35	10	for	for	ADP
ajase-4235	35	11	analysis	analysis	NOUN
ajase-4235	35	12	.	.	PUNCT
ajase-4235	36	1	shang	shang	PROPN
ajase-4235	36	2	et	et	PROPN
ajase-4235	36	3	al	al	PROPN
ajase-4235	36	4	.	.	PROPN
ajase-4235	36	5	(	(	PUNCT
ajase-4235	36	6	2023	2023	NUM
ajase-4235	36	7	)	)	PUNCT
ajase-4235	36	8	presented	present	VERB
ajase-4235	36	9	a	a	DET
ajase-4235	36	10	novel	novel	ADJ
ajase-4235	36	11	method	method	NOUN
ajase-4235	36	12	for	for	ADP
ajase-4235	36	13	predicting	predict	VERB
ajase-4235	36	14	aero	aero	ADJ
ajase-4235	36	15	-	-	PUNCT
ajase-4235	36	16	engine	engine	NOUN
ajase-4235	36	17	coaxiality	coaxiality	NOUN
ajase-4235	36	18	using	use	VERB
ajase-4235	36	19	geometric	geometric	ADJ
ajase-4235	36	20	distribution	distribution	NOUN
ajase-4235	36	21	error	error	NOUN
ajase-4235	36	22	modelling	modelling	NOUN
ajase-4235	36	23	and	and	CCONJ
ajase-4235	36	24	deep	deep	ADJ
ajase-4235	36	25	learning	learning	NOUN
ajase-4235	36	26	,	,	PUNCT
ajase-4235	36	27	achieving	achieve	VERB
ajase-4235	36	28	high	high	ADJ
ajase-4235	36	29	prediction	prediction	NOUN
ajase-4235	36	30	accuracy	accuracy	NOUN
ajase-4235	36	31	.	.	PUNCT
ajase-4235	37	1	these	these	DET
ajase-4235	37	2	advancements	advancement	NOUN
ajase-4235	37	3	underline	underline	VERB
ajase-4235	37	4	the	the	DET
ajase-4235	37	5	potential	potential	NOUN
ajase-4235	37	6	of	of	ADP
ajase-4235	37	7	zerotruncated	zerotruncate	VERB
ajase-4235	37	8	models	model	NOUN
ajase-4235	37	9	to	to	PART
ajase-4235	37	10	enhance	enhance	VERB
ajase-4235	37	11	the	the	DET
ajase-4235	37	12	precision	precision	NOUN
ajase-4235	37	13	and	and	CCONJ
ajase-4235	37	14	efficiency	efficiency	NOUN
ajase-4235	37	15	of	of	ADP
ajase-4235	37	16	economic	economic	ADJ
ajase-4235	37	17	analysis	analysis	NOUN
ajase-4235	37	18	,	,	PUNCT
ajase-4235	37	19	particularly	particularly	ADV
ajase-4235	37	20	when	when	SCONJ
ajase-4235	37	21	dealing	deal	VERB
ajase-4235	37	22	with	with	ADP
ajase-4235	37	23	data	datum	NOUN
ajase-4235	37	24	that	that	PRON
ajase-4235	37	25	exhibits	exhibit	VERB
ajase-4235	37	26	truncation	truncation	NOUN
ajase-4235	37	27	at	at	ADP
ajase-4235	37	28	zero	zero	NUM
ajase-4235	37	29	,	,	PUNCT
ajase-4235	37	30	such	such	ADJ
ajase-4235	37	31	as	as	ADP
ajase-4235	37	32	income	income	NOUN
ajase-4235	37	33	,	,	PUNCT
ajase-4235	37	34	expenditure	expenditure	NOUN
ajase-4235	37	35	,	,	PUNCT
ajase-4235	37	36	or	or	CCONJ
ajase-4235	37	37	event	event	NOUN
ajase-4235	37	38	counts	count	NOUN
ajase-4235	37	39	.	.	PUNCT
ajase-4235	38	1	despite	despite	SCONJ
ajase-4235	38	2	these	these	DET
ajase-4235	38	3	advancements	advancement	NOUN
ajase-4235	38	4	,	,	PUNCT
ajase-4235	38	5	a	a	DET
ajase-4235	38	6	notable	notable	ADJ
ajase-4235	38	7	gap	gap	NOUN
ajase-4235	38	8	remains	remain	VERB
ajase-4235	38	9	in	in	ADP
ajase-4235	38	10	the	the	DET
ajase-4235	38	11	comprehensive	comprehensive	ADJ
ajase-4235	38	12	comparison	comparison	NOUN
ajase-4235	38	13	of	of	ADP
ajase-4235	38	14	these	these	DET
ajase-4235	38	15	zero	zero	NUM
ajase-4235	38	16	-	-	PUNCT
ajase-4235	38	17	truncated	truncate	VERB
ajase-4235	38	18	distributions	distribution	NOUN
ajase-4235	38	19	in	in	ADP
ajase-4235	38	20	the	the	DET
ajase-4235	38	21	context	context	NOUN
ajase-4235	38	22	of	of	ADP
ajase-4235	38	23	economic	economic	ADJ
ajase-4235	38	24	analysis	analysis	NOUN
ajase-4235	38	25	.	.	PUNCT
ajase-4235	39	1	while	while	SCONJ
ajase-4235	39	2	individual	individual	ADJ
ajase-4235	39	3	studies	study	NOUN
ajase-4235	39	4	have	have	AUX
ajase-4235	39	5	demonstrated	demonstrate	VERB
ajase-4235	39	6	the	the	DET
ajase-4235	39	7	utility	utility	NOUN
ajase-4235	39	8	of	of	ADP
ajase-4235	39	9	these	these	DET
ajase-4235	39	10	distributions	distribution	NOUN
ajase-4235	39	11	,	,	PUNCT
ajase-4235	39	12	there	there	PRON
ajase-4235	39	13	is	be	VERB
ajase-4235	39	14	a	a	DET
ajase-4235	39	15	lack	lack	NOUN
ajase-4235	39	16	of	of	ADP
ajase-4235	39	17	systematic	systematic	ADJ
ajase-4235	39	18	evaluation	evaluation	NOUN
ajase-4235	39	19	across	across	ADP
ajase-4235	39	20	various	various	ADJ
ajase-4235	39	21	economic	economic	ADJ
ajase-4235	39	22	datasets	dataset	NOUN
ajase-4235	39	23	,	,	PUNCT
ajase-4235	39	24	with	with	ADP
ajase-4235	39	25	limited	limited	ADJ
ajase-4235	39	26	attention	attention	NOUN
ajase-4235	39	27	to	to	ADP
ajase-4235	39	28	performance	performance	NOUN
ajase-4235	39	29	metrics	metric	NOUN
ajase-4235	39	30	like	like	ADP
ajase-4235	39	31	aic	aic	PROPN
ajase-4235	39	32	,	,	PUNCT
ajase-4235	39	33	bic	bic	PROPN
ajase-4235	39	34	,	,	PUNCT
ajase-4235	39	35	and	and	CCONJ
ajase-4235	39	36	mean	mean	VERB
ajase-4235	39	37	squared	square	VERB
ajase-4235	39	38	error	error	NOUN
ajase-4235	39	39	(	(	PUNCT
ajase-4235	39	40	mse	mse	NOUN
ajase-4235	39	41	)	)	PUNCT
ajase-4235	39	42	in	in	ADP
ajase-4235	39	43	this	this	DET
ajase-4235	39	44	domain	domain	NOUN
ajase-4235	39	45	.	.	PUNCT
ajase-4235	40	1	this	this	DET
ajase-4235	40	2	study	study	NOUN
ajase-4235	40	3	aims	aim	VERB
ajase-4235	40	4	to	to	PART
ajase-4235	40	5	fill	fill	VERB
ajase-4235	40	6	this	this	DET
ajase-4235	40	7	gap	gap	NOUN
ajase-4235	40	8	by	by	ADP
ajase-4235	40	9	introducing	introduce	VERB
ajase-4235	40	10	and	and	CCONJ
ajase-4235	40	11	comparing	compare	VERB
ajase-4235	40	12	the	the	DET
ajase-4235	40	13	mathematical	mathematical	ADJ
ajase-4235	40	14	properties	property	NOUN
ajase-4235	40	15	of	of	ADP
ajase-4235	40	16	the	the	DET
ajase-4235	40	17	gztp	gztp	NOUN
ajase-4235	40	18	and	and	CCONJ
ajase-4235	40	19	ztpp	ztpp	NOUN
ajase-4235	40	20	distributions	distribution	NOUN
ajase-4235	40	21	,	,	PUNCT
ajase-4235	40	22	alongside	alongside	ADP
ajase-4235	40	23	their	their	PRON
ajase-4235	40	24	performance	performance	NOUN
ajase-4235	40	25	in	in	ADP
ajase-4235	40	26	economic	economic	ADJ
ajase-4235	40	27	modelling	modelling	NOUN
ajase-4235	40	28	.	.	PUNCT
ajase-4235	41	1	by	by	ADP
ajase-4235	41	2	applying	apply	VERB
ajase-4235	41	3	these	these	DET
ajase-4235	41	4	distributions	distribution	NOUN
ajase-4235	41	5	to	to	ADP
ajase-4235	41	6	real	real	ADJ
ajase-4235	41	7	-	-	PUNCT
ajase-4235	41	8	world	world	NOUN
ajase-4235	41	9	economic	economic	ADJ
ajase-4235	41	10	datasets	dataset	NOUN
ajase-4235	41	11	,	,	PUNCT
ajase-4235	41	12	the	the	DET
ajase-4235	41	13	study	study	NOUN
ajase-4235	41	14	seeks	seek	VERB
ajase-4235	41	15	to	to	PART
ajase-4235	41	16	identify	identify	VERB
ajase-4235	41	17	the	the	DET
ajase-4235	41	18	most	most	ADV
ajase-4235	41	19	efficient	efficient	ADJ
ajase-4235	41	20	distribution	distribution	NOUN
ajase-4235	41	21	for	for	ADP
ajase-4235	41	22	modelling	model	VERB
ajase-4235	41	23	economic	economic	ADJ
ajase-4235	41	24	variables	variable	NOUN
ajase-4235	41	25	and	and	CCONJ
ajase-4235	41	26	predicting	predict	VERB
ajase-4235	41	27	trends	trend	NOUN
ajase-4235	41	28	.	.	PUNCT
ajase-4235	42	1	through	through	ADP
ajase-4235	42	2	this	this	DET
ajase-4235	42	3	comparison	comparison	NOUN
ajase-4235	42	4	,	,	PUNCT
ajase-4235	42	5	the	the	DET
ajase-4235	42	6	study	study	NOUN
ajase-4235	42	7	will	will	AUX
ajase-4235	42	8	provide	provide	VERB
ajase-4235	42	9	valuable	valuable	ADJ
ajase-4235	42	10	insights	insight	NOUN
ajase-4235	42	11	into	into	ADP
ajase-4235	42	12	the	the	DET
ajase-4235	42	13	suitability	suitability	NOUN
ajase-4235	42	14	of	of	ADP
ajase-4235	42	15	these	these	DET
ajase-4235	42	16	distributions	distribution	NOUN
ajase-4235	42	17	for	for	ADP
ajase-4235	42	18	addressing	address	VERB
ajase-4235	42	19	specific	specific	ADJ
ajase-4235	42	20	economic	economic	ADJ
ajase-4235	42	21	modelling	modelling	NOUN
ajase-4235	42	22	challenges	challenge	NOUN
ajase-4235	42	23	,	,	PUNCT
ajase-4235	42	24	thereby	thereby	ADV
ajase-4235	42	25	contributing	contribute	VERB
ajase-4235	42	26	to	to	ADP
ajase-4235	42	27	the	the	DET
ajase-4235	42	28	advancement	advancement	NOUN
ajase-4235	42	29	of	of	ADP
ajase-4235	42	30	statistical	statistical	ADJ
ajase-4235	42	31	methods	method	NOUN
ajase-4235	42	32	in	in	ADP
ajase-4235	42	33	economic	economic	ADJ
ajase-4235	42	34	analysis	analysis	NOUN
ajase-4235	42	35	.	.	PUNCT
ajase-4235	43	1	hence	hence	ADV
ajase-4235	43	2	,	,	PUNCT
ajase-4235	43	3	the	the	DET
ajase-4235	43	4	aim	aim	NOUN
ajase-4235	43	5	of	of	ADP
ajase-4235	43	6	this	this	DET
ajase-4235	43	7	study	study	NOUN
ajase-4235	43	8	was	be	AUX
ajase-4235	43	9	to	to	PART
ajase-4235	43	10	advance	advance	VERB
ajase-4235	43	11	the	the	DET
ajase-4235	43	12	understanding	understanding	NOUN
ajase-4235	43	13	of	of	ADP
ajase-4235	43	14	zerotruncated	zerotruncated	ADJ
ajase-4235	43	15	statistical	statistical	ADJ
ajase-4235	43	16	distributions	distribution	NOUN
ajase-4235	43	17	and	and	CCONJ
ajase-4235	43	18	their	their	PRON
ajase-4235	43	19	application	application	NOUN
ajase-4235	43	20	in	in	ADP
ajase-4235	43	21	economic	economic	ADJ
ajase-4235	43	22	data	datum	NOUN
ajase-4235	43	23	modelling	modelling	NOUN
ajase-4235	43	24	.	.	PUNCT
ajase-4235	44	1	the	the	DET
ajase-4235	44	2	specific	specific	ADJ
ajase-4235	44	3	objectives	objective	NOUN
ajase-4235	44	4	are	be	AUX
ajase-4235	44	5	to	to	PART
ajase-4235	44	6	:	:	PUNCT
ajase-4235	44	7	introduce	introduce	VERB
ajase-4235	44	8	and	and	CCONJ
ajase-4235	44	9	describe	describe	VERB
ajase-4235	44	10	the	the	DET
ajase-4235	44	11	mathematical	mathematical	ADJ
ajase-4235	44	12	properties	property	NOUN
ajase-4235	44	13	of	of	ADP
ajase-4235	44	14	the	the	DET
ajase-4235	44	15	gztp	gztp	NOUN
ajase-4235	44	16	and	and	CCONJ
ajase-4235	44	17	ztpp	ztpp	NOUN
ajase-4235	44	18	distributions	distribution	NOUN
ajase-4235	44	19	;	;	PUNCT
ajase-4235	44	20	compare	compare	VERB
ajase-4235	44	21	the	the	DET
ajase-4235	44	22	performance	performance	NOUN
ajase-4235	44	23	of	of	ADP
ajase-4235	44	24	these	these	DET
ajase-4235	44	25	distributions	distribution	NOUN
ajase-4235	44	26	across	across	ADP
ajase-4235	44	27	datasets	dataset	NOUN
ajase-4235	44	28	using	use	VERB
ajase-4235	44	29	metrics	metric	NOUN
ajase-4235	44	30	such	such	ADJ
ajase-4235	44	31	as	as	ADP
ajase-4235	44	32	aic	aic	PROPN
ajase-4235	44	33	,	,	PUNCT
ajase-4235	44	34	bic	bic	PROPN
ajase-4235	44	35	,	,	PUNCT
ajase-4235	44	36	and	and	CCONJ
ajase-4235	44	37	mse	mse	NOUN
ajase-4235	44	38	;	;	PUNCT
ajase-4235	44	39	and	and	CCONJ
ajase-4235	44	40	recommend	recommend	VERB
ajase-4235	44	41	the	the	DET
ajase-4235	44	42	most	most	ADV
ajase-4235	44	43	efficient	efficient	ADJ
ajase-4235	44	44	distribution	distribution	NOUN
ajase-4235	44	45	for	for	ADP
ajase-4235	44	46	modelling	model	VERB
ajase-4235	44	47	economic	economic	ADJ
ajase-4235	44	48	variables	variable	NOUN
ajase-4235	44	49	and	and	CCONJ
ajase-4235	44	50	predicting	predict	VERB
ajase-4235	44	51	trends	trend	NOUN
ajase-4235	44	52	.	.	PUNCT
ajase-4235	45	1	materials	material	NOUN
ajase-4235	45	2	and	and	CCONJ
ajase-4235	45	3	methods	method	NOUN
ajase-4235	45	4	source	source	NOUN
ajase-4235	45	5	of	of	ADP
ajase-4235	45	6	data	datum	NOUN
ajase-4235	45	7	collection	collection	NOUN
ajase-4235	45	8	for	for	ADP
ajase-4235	45	9	the	the	DET
ajase-4235	45	10	study	study	NOUN
ajase-4235	45	11	the	the	DET
ajase-4235	45	12	study	study	NOUN
ajase-4235	45	13	utilized	utilize	VERB
ajase-4235	45	14	secondary	secondary	ADJ
ajase-4235	45	15	data	datum	NOUN
ajase-4235	45	16	,	,	PUNCT
ajase-4235	45	17	sourced	source	VERB
ajase-4235	45	18	from	from	ADP
ajase-4235	45	19	reliable	reliable	ADJ
ajase-4235	45	20	publications	publication	NOUN
ajase-4235	45	21	such	such	ADJ
ajase-4235	45	22	as	as	ADP
ajase-4235	45	23	the	the	DET
ajase-4235	45	24	central	central	ADJ
ajase-4235	45	25	bank	bank	PROPN
ajase-4235	45	26	of	of	ADP
ajase-4235	45	27	nigeria	nigeria	PROPN
ajase-4235	45	28	’s	’s	PART
ajase-4235	45	29	statistical	statistical	ADJ
ajase-4235	45	30	bulletin	bulletin	NOUN
ajase-4235	45	31	for	for	ADP
ajase-4235	45	32	2021	2021	NUM
ajase-4235	45	33	,	,	PUNCT
ajase-4235	45	34	included	include	VERB
ajase-4235	45	35	key	key	ADJ
ajase-4235	45	36	economic	economic	ADJ
ajase-4235	45	37	indicators	indicator	NOUN
ajase-4235	45	38	from	from	ADP
ajase-4235	45	39	1989	1989	NUM
ajase-4235	45	40	to	to	ADP
ajase-4235	45	41	2020	2020	NUM
ajase-4235	45	42	.	.	PUNCT
ajase-4235	46	1	these	these	DET
ajase-4235	46	2	indicators	indicator	NOUN
ajase-4235	46	3	were	be	AUX
ajase-4235	46	4	real	real	ADJ
ajase-4235	46	5	gross	gross	ADJ
ajase-4235	46	6	domestic	domestic	ADJ
ajase-4235	46	7	product	product	NOUN
ajase-4235	46	8	(	(	PUNCT
ajase-4235	46	9	rgdp	rgdp	NOUN
ajase-4235	46	10	)	)	PUNCT
ajase-4235	46	11	,	,	PUNCT
ajase-4235	46	12	export	export	NOUN
ajase-4235	46	13	and	and	CCONJ
ajase-4235	46	14	import	import	NOUN
ajase-4235	46	15	goods	good	NOUN
ajase-4235	46	16	,	,	PUNCT
ajase-4235	46	17	money	money	NOUN
ajase-4235	46	18	supply	supply	NOUN
ajase-4235	46	19	,	,	PUNCT
ajase-4235	46	20	and	and	CCONJ
ajase-4235	46	21	brent	brent	PROPN
ajase-4235	46	22	crude	crude	ADJ
ajase-4235	46	23	oil	oil	NOUN
ajase-4235	46	24	prices	price	NOUN
ajase-4235	46	25	.	.	PUNCT
ajase-4235	47	1	this	this	DET
ajase-4235	47	2	data	datum	NOUN
ajase-4235	47	3	set	set	VERB
ajase-4235	47	4	provided	provide	VERB
ajase-4235	47	5	crucial	crucial	ADJ
ajase-4235	47	6	insights	insight	NOUN
ajase-4235	47	7	into	into	ADP
ajase-4235	47	8	nigeria	nigeria	PROPN
ajase-4235	47	9	’s	’s	PART
ajase-4235	47	10	economic	economic	ADJ
ajase-4235	47	11	performance	performance	NOUN
ajase-4235	47	12	,	,	PUNCT
ajase-4235	47	13	trade	trade	NOUN
ajase-4235	47	14	,	,	PUNCT
ajase-4235	47	15	monetary	monetary	ADJ
ajase-4235	47	16	policy	policy	NOUN
ajase-4235	47	17	,	,	PUNCT
ajase-4235	47	18	and	and	CCONJ
ajase-4235	47	19	the	the	DET
ajase-4235	47	20	impact	impact	NOUN
ajase-4235	47	21	of	of	ADP
ajase-4235	47	22	oil	oil	NOUN
ajase-4235	47	23	prices	price	NOUN
ajase-4235	47	24	,	,	PUNCT
ajase-4235	47	25	forming	form	VERB
ajase-4235	47	26	the	the	DET
ajase-4235	47	27	basis	basis	NOUN
ajase-4235	47	28	for	for	ADP
ajase-4235	47	29	detailed	detailed	ADJ
ajase-4235	47	30	econometric	econometric	ADJ
ajase-4235	47	31	analysis	analysis	NOUN
ajase-4235	47	32	.	.	PUNCT
ajase-4235	48	1	materials	material	NOUN
ajase-4235	48	2	and	and	CCONJ
ajase-4235	48	3	methods	method	NOUN
ajase-4235	48	4	table	table	NOUN
ajase-4235	48	5	1	1	NUM
ajase-4235	48	6	presents	present	VERB
ajase-4235	48	7	the	the	DET
ajase-4235	48	8	probability	probability	NOUN
ajase-4235	48	9	mass	mass	NOUN
ajase-4235	48	10	functions	function	NOUN
ajase-4235	48	11	(	(	PUNCT
ajase-4235	48	12	pmfs	pmfs	NOUN
ajase-4235	48	13	)	)	PUNCT
ajase-4235	48	14	of	of	ADP
ajase-4235	48	15	two	two	NUM
ajase-4235	48	16	advanced	advanced	ADJ
ajase-4235	48	17	distributions	distribution	NOUN
ajase-4235	48	18	the	the	DET
ajase-4235	48	19	geometric	geometric	ADJ
ajase-4235	48	20	-	-	PUNCT
ajase-4235	48	21	zero	zero	NUM
ajase-4235	48	22	truncated	truncated	ADJ
ajase-4235	48	23	poisson	poisson	NOUN
ajase-4235	48	24	(	(	PUNCT
ajase-4235	48	25	gztp	gztp	NOUN
ajase-4235	48	26	)	)	PUNCT
ajase-4235	48	27	and	and	CCONJ
ajase-4235	48	28	zero	zero	NUM
ajase-4235	48	29	-	-	PUNCT
ajase-4235	48	30	truncated	truncate	VERB
ajase-4235	48	31	poisson	poisson	NOUN
ajase-4235	48	32	pareto	pareto	NOUN
ajase-4235	48	33	(	(	PUNCT
ajase-4235	48	34	ztpp	ztpp	NOUN
ajase-4235	48	35	)	)	PUNCT
ajase-4235	48	36	table	table	NOUN
ajase-4235	48	37	1	1	NUM
ajase-4235	48	38	:	:	PUNCT
ajase-4235	48	39	the	the	DET
ajase-4235	48	40	pmf	pmf	NOUN
ajase-4235	48	41	of	of	ADP
ajase-4235	48	42	the	the	DET
ajase-4235	48	43	gztp	gztp	NOUN
ajase-4235	48	44	and	and	CCONJ
ajase-4235	48	45	ztpp	ztpp	NOUN
ajase-4235	48	46	distribution	distribution	NOUN
ajase-4235	48	47	s	s	PROPN
ajase-4235	48	48	/	/	SYM
ajase-4235	48	49	no	no	NOUN
ajase-4235	48	50	.	.	PUNCT
ajase-4235	49	1	distribution	distribution	NOUN
ajase-4235	49	2	pmf	pmf	NOUN
ajase-4235	49	3	source	source	NOUN
ajase-4235	49	4	1	1	NUM
ajase-4235	49	5	.	.	PUNCT
ajase-4235	49	6	gztp	gztp	ADJ
ajase-4235	49	7	distribution	distribution	NOUN
ajase-4235	49	8	e	e	PROPN
ajase-4235	49	9	-	-	PUNCT
ajase-4235	49	10	λ((1	λ((1	PROPN
ajase-4235	49	11	-	-	PUNCT
ajase-4235	49	12	p)x-(1	p)x-(1	NOUN
ajase-4235	49	13	-	-	PUNCT
ajase-4235	49	14	p)x-1),/(1	p)x-1),/(1	VERB
ajase-4235	49	15	-	-	PUNCT
ajase-4235	49	16	e	e	NOUN
ajase-4235	49	17	-	-	NOUN
ajase-4235	49	18	λ),λ>0,0≤p≤1,x∈{1,2,3	λ),λ>0,0≤p≤1,x∈{1,2,3	ADJ
ajase-4235	49	19	,	,	PUNCT
ajase-4235	49	20	…	…	PUNCT
ajase-4235	49	21	}	}	PUNCT
ajase-4235	49	22	niyomdecha	niyomdecha	PROPN
ajase-4235	49	23	et	et	PROPN
ajase-4235	49	24	al	al	PROPN
ajase-4235	49	25	.	.	PROPN
ajase-4235	50	1	(	(	PUNCT
ajase-4235	50	2	2023	2023	NUM
ajase-4235	50	3	)	)	PUNCT
ajase-4235	50	4	2	2	NUM
ajase-4235	50	5	ztpp	ztpp	NOUN
ajase-4235	50	6	distribution	distribution	NOUN
ajase-4235	50	7	(	(	PUNCT
ajase-4235	50	8	λne	λne	ADJ
ajase-4235	50	9	-	-	PUNCT
ajase-4235	50	10	λ)/n!(1	λ)/n!(1	ADP
ajase-4235	50	11	-	-	PUNCT
ajase-4235	50	12	e	e	NOUN
ajase-4235	50	13	-	-	NOUN
ajase-4235	50	14	λ	λ	NOUN
ajase-4235	50	15	)	)	PUNCT
ajase-4235	50	16	,	,	PUNCT
ajase-4235	50	17	λ>0,n∈{0,1,2,3	λ>0,n∈{0,1,2,3	ADJ
ajase-4235	50	18	,	,	PUNCT
ajase-4235	50	19	…	…	PUNCT
ajase-4235	50	20	}	}	PUNCT
ajase-4235	50	21	badr	badr	PROPN
ajase-4235	50	22	et	et	PROPN
ajase-4235	50	23	al	al	PROPN
ajase-4235	50	24	.	.	PROPN
ajase-4235	50	25	(	(	PUNCT
ajase-4235	50	26	2023	2023	NUM
ajase-4235	50	27	)	)	PUNCT
ajase-4235	50	28	the	the	DET
ajase-4235	50	29	geometric	geometric	ADJ
ajase-4235	50	30	-	-	PUNCT
ajase-4235	50	31	zero	zero	NUM
ajase-4235	50	32	truncated	truncated	ADJ
ajase-4235	50	33	poisson	poisson	NOUN
ajase-4235	50	34	(	(	PUNCT
ajase-4235	50	35	gztp	gztp	NOUN
ajase-4235	50	36	)	)	PUNCT
ajase-4235	50	37	and	and	CCONJ
ajase-4235	50	38	zero	zero	NUM
ajase-4235	50	39	-	-	PUNCT
ajase-4235	50	40	truncated	truncate	VERB
ajase-4235	50	41	poisson	poisson	NOUN
ajase-4235	50	42	pareto	pareto	NOUN
ajase-4235	50	43	(	(	PUNCT
ajase-4235	50	44	ztpp	ztpp	NOUN
ajase-4235	50	45	)	)	PUNCT
ajase-4235	50	46	distributions	distribution	NOUN
ajase-4235	50	47	in	in	ADP
ajase-4235	50	48	table	table	NOUN
ajase-4235	50	49	1	1	NUM
ajase-4235	50	50	exhibit	exhibit	VERB
ajase-4235	50	51	notable	notable	ADJ
ajase-4235	50	52	flexibility	flexibility	NOUN
ajase-4235	50	53	and	and	CCONJ
ajase-4235	50	54	unique	unique	ADJ
ajase-4235	50	55	properties	property	NOUN
ajase-4235	50	56	,	,	PUNCT
ajase-4235	50	57	making	make	VERB
ajase-4235	50	58	them	they	PRON
ajase-4235	50	59	suitable	suitable	ADJ
ajase-4235	50	60	for	for	ADP
ajase-4235	50	61	modelling	model	VERB
ajase-4235	50	62	diverse	diverse	ADJ
ajase-4235	50	63	real	real	ADJ
ajase-4235	50	64	-	-	PUNCT
ajase-4235	50	65	world	world	NOUN
ajase-4235	50	66	phenomena	phenomenon	NOUN
ajase-4235	50	67	.	.	PUNCT
ajase-4235	51	1	the	the	DET
ajase-4235	51	2	gztp	gztp	NOUN
ajase-4235	51	3	distribution	distribution	NOUN
ajase-4235	51	4	incorporates	incorporate	VERB
ajase-4235	51	5	a	a	DET
ajase-4235	51	6	geometric	geometric	ADJ
ajase-4235	51	7	component	component	NOUN
ajase-4235	51	8	through	through	ADP
ajase-4235	51	9	the	the	DET
ajase-4235	51	10	parameter	parameter	NOUN
ajase-4235	51	11	p	p	NOUN
ajase-4235	51	12	,	,	PUNCT
ajase-4235	51	13	allowing	allow	VERB
ajase-4235	51	14	it	it	PRON
ajase-4235	51	15	to	to	PART
ajase-4235	51	16	capture	capture	VERB
ajase-4235	51	17	overdispersion	overdispersion	NOUN
ajase-4235	51	18	and	and	CCONJ
ajase-4235	51	19	varying	vary	VERB
ajase-4235	51	20	probabilities	probability	NOUN
ajase-4235	51	21	for	for	ADP
ajase-4235	51	22	successive	successive	ADJ
ajase-4235	51	23	events	event	NOUN
ajase-4235	51	24	,	,	PUNCT
ajase-4235	51	25	which	which	PRON
ajase-4235	51	26	is	be	AUX
ajase-4235	51	27	crucial	crucial	ADJ
ajase-4235	51	28	in	in	ADP
ajase-4235	51	29	applications	application	NOUN
ajase-4235	51	30	with	with	ADP
ajase-4235	51	31	decaying	decay	VERB
ajase-4235	51	32	probabilities	probability	NOUN
ajase-4235	51	33	.	.	PUNCT
ajase-4235	52	1	its	its	PRON
ajase-4235	52	2	range	range	NOUN
ajase-4235	52	3	of	of	ADP
ajase-4235	52	4	p	p	NOUN
ajase-4235	52	5	between	between	ADP
ajase-4235	52	6	0	0	NUM
ajase-4235	52	7	and	and	CCONJ
ajase-4235	52	8	1	1	NUM
ajase-4235	52	9	further	far	ADV
ajase-4235	52	10	enhances	enhance	VERB
ajase-4235	52	11	its	its	PRON
ajase-4235	52	12	adaptability	adaptability	NOUN
ajase-4235	52	13	to	to	ADP
ajase-4235	52	14	different	different	ADJ
ajase-4235	52	15	datasets	dataset	NOUN
ajase-4235	52	16	.	.	PUNCT
ajase-4235	53	1	on	on	ADP
ajase-4235	53	2	the	the	DET
ajase-4235	53	3	other	other	ADJ
ajase-4235	53	4	hand	hand	NOUN
ajase-4235	53	5	,	,	PUNCT
ajase-4235	53	6	the	the	DET
ajase-4235	53	7	ztpp	ztpp	NOUN
ajase-4235	53	8	distribution	distribution	NOUN
ajase-4235	53	9	,	,	PUNCT
ajase-4235	53	10	characterized	characterize	VERB
ajase-4235	53	11	by	by	ADP
ajase-4235	53	12	its	its	PRON
ajase-4235	53	13	poisson	poisson	NOUN
ajase-4235	53	14	-	-	PUNCT
ajase-4235	53	15	based	base	VERB
ajase-4235	53	16	structure	structure	NOUN
ajase-4235	53	17	truncated	truncate	VERB
ajase-4235	53	18	at	at	ADP
ajase-4235	53	19	zero	zero	NUM
ajase-4235	53	20	,	,	PUNCT
ajase-4235	53	21	is	be	AUX
ajase-4235	53	22	particularly	particularly	ADV
ajase-4235	53	23	effective	effective	ADJ
ajase-4235	53	24	in	in	ADP
ajase-4235	53	25	handling	handle	VERB
ajase-4235	53	26	count	count	NOUN
ajase-4235	53	27	data	datum	NOUN
ajase-4235	53	28	where	where	SCONJ
ajase-4235	53	29	zero	zero	NUM
ajase-4235	53	30	occurrences	occurrence	NOUN
ajase-4235	53	31	are	be	AUX
ajase-4235	53	32	impossible	impossible	ADJ
ajase-4235	53	33	.	.	PUNCT
ajase-4235	54	1	its	its	PRON
ajase-4235	54	2	dependency	dependency	NOUN
ajase-4235	54	3	solely	solely	ADV
ajase-4235	54	4	on	on	ADP
ajase-4235	54	5	the	the	DET
ajase-4235	54	6	rate	rate	NOUN
ajase-4235	54	7	parameter	parameter	NOUN
ajase-4235	54	8	λ	λ	PROPN
ajase-4235	54	9	simplifies	simplify	VERB
ajase-4235	54	10	its	its	PRON
ajase-4235	54	11	application	application	NOUN
ajase-4235	54	12	while	while	SCONJ
ajase-4235	54	13	maintaining	maintain	VERB
ajase-4235	54	14	robustness	robustness	NOUN
ajase-4235	54	15	in	in	ADP
ajase-4235	54	16	capturing	capture	VERB
ajase-4235	54	17	event	event	NOUN
ajase-4235	54	18	frequencies	frequency	NOUN
ajase-4235	54	19	.	.	PUNCT
ajase-4235	55	1	both	both	DET
ajase-4235	55	2	distributions	distribution	NOUN
ajase-4235	55	3	are	be	AUX
ajase-4235	55	4	zero	zero	NUM
ajase-4235	55	5	-	-	PUNCT
ajase-4235	55	6	truncated	truncated	ADJ
ajase-4235	55	7	,	,	PUNCT
ajase-4235	55	8	addressing	address	VERB
ajase-4235	55	9	scenarios	scenario	NOUN
ajase-4235	55	10	where	where	SCONJ
ajase-4235	55	11	non	non	ADJ
ajase-4235	55	12	-	-	ADJ
ajase-4235	55	13	zero	zero	NUM
ajase-4235	55	14	occurrences	occurrence	NOUN
ajase-4235	55	15	are	be	AUX
ajase-4235	55	16	mandatory	mandatory	ADJ
ajase-4235	55	17	,	,	PUNCT
ajase-4235	55	18	and	and	CCONJ
ajase-4235	55	19	their	their	PRON
ajase-4235	55	20	closed	close	VERB
ajase-4235	55	21	-	-	PUNCT
ajase-4235	55	22	form	form	NOUN
ajase-4235	55	23	pmfs	pmfs	NOUN
ajase-4235	55	24	enable	enable	VERB
ajase-4235	55	25	straightforward	straightforward	ADJ
ajase-4235	55	26	parameter	parameter	NOUN
ajase-4235	55	27	estimation	estimation	NOUN
ajase-4235	55	28	and	and	CCONJ
ajase-4235	55	29	interpretation	interpretation	NOUN
ajase-4235	55	30	.	.	PUNCT
ajase-4235	56	1	these	these	DET
ajase-4235	56	2	properties	property	NOUN
ajase-4235	56	3	underscore	underscore	VERB
ajase-4235	56	4	their	their	PRON
ajase-4235	56	5	utility	utility	NOUN
ajase-4235	56	6	in	in	ADP
ajase-4235	56	7	fields	field	NOUN
ajase-4235	56	8	such	such	ADJ
ajase-4235	56	9	as	as	ADP
ajase-4235	56	10	ecology	ecology	NOUN
ajase-4235	56	11	,	,	PUNCT
ajase-4235	56	12	reliability	reliability	NOUN
ajase-4235	56	13	analysis	analysis	NOUN
ajase-4235	56	14	,	,	PUNCT
ajase-4235	56	15	and	and	CCONJ
ajase-4235	56	16	actuarial	actuarial	ADJ
ajase-4235	56	17	science	science	NOUN
ajase-4235	56	18	.	.	PUNCT
ajase-4235	57	1	parameter	parameter	PROPN
ajase-4235	57	2	estimation	estimation	NOUN
ajase-4235	57	3	parameter	parameter	NOUN
ajase-4235	57	4	estimates	estimate	NOUN
ajase-4235	57	5	for	for	ADP
ajase-4235	57	6	each	each	DET
ajase-4235	57	7	distribution	distribution	NOUN
ajase-4235	57	8	were	be	AUX
ajase-4235	57	9	derived	derive	VERB
ajase-4235	57	10	using	use	VERB
ajase-4235	57	11	the	the	DET
ajase-4235	57	12	maximum	maximum	ADJ
ajase-4235	57	13	likelihood	likelihood	NOUN
ajase-4235	57	14	estimation	estimation	NOUN
ajase-4235	57	15	(	(	PUNCT
ajase-4235	57	16	mle	mle	NOUN
ajase-4235	57	17	)	)	PUNCT
ajase-4235	57	18	method	method	NOUN
ajase-4235	57	19	,	,	PUNCT
ajase-4235	57	20	which	which	PRON
ajase-4235	57	21	maximizes	maximize	VERB
ajase-4235	57	22	the	the	DET
ajase-4235	57	23	likelihood	likelihood	NOUN
ajase-4235	57	24	function	function	VERB
ajase-4235	57	25	l(θ|x	l(θ|x	NUM
ajase-4235	57	26	)	)	PUNCT
ajase-4235	57	27	given	give	VERB
ajase-4235	57	28	by	by	ADP
ajase-4235	57	29	:	:	PUNCT
ajase-4235	57	30	where	where	SCONJ
ajase-4235	57	31	f(xi;θ	f(xi;θ	NOUN
ajase-4235	57	32	)	)	PUNCT
ajase-4235	57	33	represents	represent	VERB
ajase-4235	57	34	the	the	DET
ajase-4235	57	35	probability	probability	NOUN
ajase-4235	57	36	mass	mass	NOUN
ajase-4235	57	37	function	function	NOUN
ajase-4235	57	38	(	(	PUNCT
ajase-4235	57	39	pmf	pmf	NOUN
ajase-4235	57	40	)	)	PUNCT
ajase-4235	57	41	of	of	ADP
ajase-4235	57	42	the	the	DET
ajase-4235	57	43	distribution	distribution	NOUN
ajase-4235	57	44	,	,	PUNCT
ajase-4235	57	45	θ	θ	PROPN
ajase-4235	57	46	is	be	AUX
ajase-4235	57	47	the	the	DET
ajase-4235	57	48	vector	vector	NOUN
ajase-4235	57	49	of	of	ADP
ajase-4235	57	50	parameters	parameter	NOUN
ajase-4235	57	51	,	,	PUNCT
ajase-4235	57	52	and	and	CCONJ
ajase-4235	57	53	xi	xi	X
ajase-4235	57	54	are	be	AUX
ajase-4235	57	55	the	the	DET
ajase-4235	57	56	observed	observe	VERB
ajase-4235	57	57	data	data	NOUN
ajase-4235	57	58	points	point	NOUN
ajase-4235	57	59	(	(	PUNCT
ajase-4235	57	60	casella	casella	NOUN
ajase-4235	57	61	&	&	CCONJ
ajase-4235	57	62	berger	berger	PROPN
ajase-4235	57	63	,	,	PUNCT
ajase-4235	57	64	2002	2002	NUM
ajase-4235	57	65	)	)	PUNCT
ajase-4235	57	66	.	.	PUNCT
ajase-4235	58	1	mle	mle	PROPN
ajase-4235	58	2	implementation	implementation	NOUN
ajase-4235	58	3	was	be	AUX
ajase-4235	58	4	performed	perform	VERB
ajase-4235	58	5	in	in	ADP
ajase-4235	58	6	the	the	DET
ajase-4235	58	7	r	r	NOUN
ajase-4235	58	8	programming	programming	NOUN
ajase-4235	58	9	language	language	NOUN
ajase-4235	58	10	(	(	PUNCT
ajase-4235	58	11	r	r	NOUN
ajase-4235	58	12	core	core	NOUN
ajase-4235	58	13	team	team	NOUN
ajase-4235	58	14	,	,	PUNCT
ajase-4235	58	15	2023	2023	NUM
ajase-4235	58	16	)	)	PUNCT
ajase-4235	58	17	.	.	PUNCT
ajase-4235	59	1	model	model	NOUN
ajase-4235	59	2	performance	performance	NOUN
ajase-4235	59	3	measures	measure	NOUN
ajase-4235	59	4	of	of	ADP
ajase-4235	59	5	the	the	DET
ajase-4235	59	6	distributions	distribution	NOUN
ajase-4235	59	7	the	the	DET
ajase-4235	59	8	model	model	NOUN
ajase-4235	59	9	performance	performance	NOUN
ajase-4235	59	10	was	be	AUX
ajase-4235	59	11	evaluated	evaluate	VERB
ajase-4235	59	12	using	use	VERB
ajase-4235	59	13	the	the	DET
ajase-4235	59	14	following	follow	VERB
ajase-4235	59	15	criteria	criterion	NOUN
ajase-4235	59	16	:	:	PUNCT
ajase-4235	59	17	i.	i.	NOUN
ajase-4235	59	18	akaike	akaike	PROPN
ajase-4235	59	19	information	information	NOUN
ajase-4235	59	20	criterion	criterion	NOUN
ajase-4235	59	21	(	(	PUNCT
ajase-4235	59	22	aic	aic	PROPN
ajase-4235	59	23	):	):	PUNCT
ajase-4235	59	24	aic=-2ln(l)+2k	aic=-2ln(l)+2k	PROPN
ajase-4235	59	25	(	(	PUNCT
ajase-4235	59	26	2	2	NUM
ajase-4235	59	27	)	)	PUNCT
ajase-4235	59	28	where	where	SCONJ
ajase-4235	59	29	l	l	NOUN
ajase-4235	59	30	where	where	SCONJ
ajase-4235	59	31	likelihood	likelihood	NOUN
ajase-4235	59	32	of	of	ADP
ajase-4235	59	33	the	the	DET
ajase-4235	59	34	model	model	NOUN
ajase-4235	59	35	,	,	PUNCT
ajase-4235	59	36	and	and	CCONJ
ajase-4235	59	37	k	k	PROPN
ajase-4235	59	38	is	be	AUX
ajase-4235	59	39	the	the	DET
ajase-4235	59	40	number	number	NOUN
ajase-4235	59	41	of	of	ADP
ajase-4235	59	42	estimated	estimate	VERB
ajase-4235	59	43	parameters	parameter	NOUN
ajase-4235	59	44	(	(	PUNCT
ajase-4235	59	45	akaike	akaike	ADJ
ajase-4235	59	46	,	,	PUNCT
ajase-4235	59	47	1974	1974	NUM
ajase-4235	59	48	)	)	PUNCT
ajase-4235	59	49	.	.	PUNCT
ajase-4235	60	1	ii	ii	PROPN
ajase-4235	60	2	.	.	PUNCT
ajase-4235	61	1	bayesian	bayesian	NOUN
ajase-4235	61	2	information	information	NOUN
ajase-4235	61	3	criterion	criterion	NOUN
ajase-4235	61	4	(	(	PUNCT
ajase-4235	61	5	bic	bic	PROPN
ajase-4235	61	6	):	):	PUNCT
ajase-4235	61	7	bic=-2ln(l)+kln(n	bic=-2ln(l)+kln(n	PROPN
ajase-4235	61	8	)	)	PUNCT
ajase-4235	61	9	(	(	PUNCT
ajase-4235	61	10	3	3	X
ajase-4235	61	11	)	)	PUNCT
ajase-4235	61	12	pa	pa	PROPN
ajase-4235	61	13	ge	ge	PROPN
ajase-4235	61	14	67	67	NUM
ajase-4235	61	15	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-4235	61	16	am	be	AUX
ajase-4235	61	17	.	.	PUNCT
ajase-4235	62	1	j.	j.	PROPN
ajase-4235	62	2	appl	appl	PROPN
ajase-4235	62	3	.	.	PROPN
ajase-4235	63	1	stat	stat	PROPN
ajase-4235	63	2	.	.	PUNCT
ajase-4235	64	1	econ	econ	PROPN
ajase-4235	64	2	.	.	PUNCT
ajase-4235	65	1	4(1	4(1	X
ajase-4235	65	2	)	)	PUNCT
ajase-4235	65	3	65	65	NUM
ajase-4235	65	4	-	-	SYM
ajase-4235	65	5	69	69	NUM
ajase-4235	65	6	,	,	PUNCT
ajase-4235	65	7	2025	2025	NUM
ajase-4235	65	8	where	where	SCONJ
ajase-4235	65	9	n	n	PRON
ajase-4235	65	10	is	be	AUX
ajase-4235	65	11	the	the	DET
ajase-4235	65	12	sample	sample	NOUN
ajase-4235	65	13	size	size	NOUN
ajase-4235	65	14	(	(	PUNCT
ajase-4235	65	15	schwarz	schwarz	NOUN
ajase-4235	65	16	,	,	PUNCT
ajase-4235	65	17	1978	1978	NUM
ajase-4235	65	18	)	)	PUNCT
ajase-4235	65	19	.	.	PUNCT
ajase-4235	66	1	iii	iii	X
ajase-4235	66	2	.	.	PUNCT
ajase-4235	66	3	mean	mean	VERB
ajase-4235	66	4	squared	square	VERB
ajase-4235	66	5	error	error	NOUN
ajase-4235	66	6	(	(	PUNCT
ajase-4235	66	7	mse	mse	NOUN
ajase-4235	66	8	):	):	PUNCT
ajase-4235	66	9	where	where	SCONJ
ajase-4235	66	10	y_i	y_i	PROPN
ajase-4235	66	11	represents	represent	VERB
ajase-4235	66	12	the	the	DET
ajase-4235	66	13	observed	observed	ADJ
ajase-4235	66	14	values	value	NOUN
ajase-4235	66	15	,	,	PUNCT
ajase-4235	66	16	and	and	CCONJ
ajase-4235	66	17	y	y	PROPN
ajase-4235	66	18	̂_i	̂_i	PROPN
ajase-4235	66	19	are	be	AUX
ajase-4235	66	20	the	the	DET
ajase-4235	66	21	predicted	predict	VERB
ajase-4235	66	22	values	value	NOUN
ajase-4235	66	23	.	.	PUNCT
ajase-4235	67	1	these	these	DET
ajase-4235	67	2	metrics	metric	NOUN
ajase-4235	67	3	were	be	AUX
ajase-4235	67	4	computed	compute	VERB
ajase-4235	67	5	for	for	ADP
ajase-4235	67	6	both	both	CCONJ
ajase-4235	67	7	the	the	DET
ajase-4235	67	8	gztp	gztp	NOUN
ajase-4235	67	9	and	and	CCONJ
ajase-4235	67	10	ztpp	ztpp	NOUN
ajase-4235	67	11	distributions	distribution	NOUN
ajase-4235	67	12	across	across	ADP
ajase-4235	67	13	datasets	dataset	NOUN
ajase-4235	67	14	,	,	PUNCT
ajase-4235	67	15	as	as	SCONJ
ajase-4235	67	16	shown	show	VERB
ajase-4235	67	17	in	in	ADP
ajase-4235	67	18	table	table	NOUN
ajase-4235	67	19	3	3	NUM
ajase-4235	67	20	.	.	PUNCT
ajase-4235	67	21	to	to	PART
ajase-4235	67	22	ensure	ensure	VERB
ajase-4235	67	23	a	a	DET
ajase-4235	67	24	comprehensive	comprehensive	ADJ
ajase-4235	67	25	evaluation	evaluation	NOUN
ajase-4235	67	26	,	,	PUNCT
ajase-4235	67	27	the	the	DET
ajase-4235	67	28	average	average	ADJ
ajase-4235	67	29	values	value	NOUN
ajase-4235	67	30	of	of	ADP
ajase-4235	67	31	aic	aic	PROPN
ajase-4235	67	32	,	,	PUNCT
ajase-4235	67	33	bic	bic	PROPN
ajase-4235	67	34	,	,	PUNCT
ajase-4235	67	35	and	and	CCONJ
ajase-4235	67	36	mse	mse	NOUN
ajase-4235	67	37	for	for	ADP
ajase-4235	67	38	each	each	DET
ajase-4235	67	39	distribution	distribution	NOUN
ajase-4235	67	40	were	be	AUX
ajase-4235	67	41	also	also	ADV
ajase-4235	67	42	computed	compute	VERB
ajase-4235	67	43	and	and	CCONJ
ajase-4235	67	44	summarized	summarize	VERB
ajase-4235	67	45	in	in	ADP
ajase-4235	67	46	table	table	NOUN
ajase-4235	67	47	4	4	NUM
ajase-4235	67	48	.	.	PUNCT
ajase-4235	68	1	comparative	comparative	ADJ
ajase-4235	68	2	analysis	analysis	NOUN
ajase-4235	68	3	the	the	DET
ajase-4235	68	4	comparative	comparative	ADJ
ajase-4235	68	5	analysis	analysis	NOUN
ajase-4235	68	6	focused	focus	VERB
ajase-4235	68	7	on	on	ADP
ajase-4235	68	8	the	the	DET
ajase-4235	68	9	ability	ability	NOUN
ajase-4235	68	10	of	of	ADP
ajase-4235	68	11	the	the	DET
ajase-4235	68	12	gztp	gztp	NOUN
ajase-4235	68	13	and	and	CCONJ
ajase-4235	68	14	ztpp	ztpp	NOUN
ajase-4235	68	15	distributions	distribution	NOUN
ajase-4235	68	16	to	to	PART
ajase-4235	68	17	minimize	minimize	VERB
ajase-4235	68	18	aic	aic	PROPN
ajase-4235	68	19	,	,	PUNCT
ajase-4235	68	20	bic	bic	PROPN
ajase-4235	68	21	,	,	PUNCT
ajase-4235	68	22	and	and	CCONJ
ajase-4235	68	23	mse	mse	NOUN
ajase-4235	68	24	.	.	PUNCT
ajase-4235	69	1	the	the	DET
ajase-4235	69	2	ztpp	ztpp	NOUN
ajase-4235	69	3	distribution	distribution	NOUN
ajase-4235	69	4	demonstrated	demonstrate	VERB
ajase-4235	69	5	superior	superior	ADJ
ajase-4235	69	6	performance	performance	NOUN
ajase-4235	69	7	across	across	ADP
ajase-4235	69	8	the	the	DET
ajase-4235	69	9	datasets	dataset	NOUN
ajase-4235	69	10	,	,	PUNCT
ajase-4235	69	11	as	as	SCONJ
ajase-4235	69	12	evidenced	evidence	VERB
ajase-4235	69	13	by	by	ADP
ajase-4235	69	14	its	its	PRON
ajase-4235	69	15	consistently	consistently	ADV
ajase-4235	69	16	lower	low	ADJ
ajase-4235	69	17	average	average	ADJ
ajase-4235	69	18	aic	aic	PROPN
ajase-4235	69	19	,	,	PUNCT
ajase-4235	69	20	bic	bic	PROPN
ajase-4235	69	21	,	,	PUNCT
ajase-4235	69	22	and	and	CCONJ
ajase-4235	69	23	mse	mse	NOUN
ajase-4235	69	24	values	value	NOUN
ajase-4235	69	25	compared	compare	VERB
ajase-4235	69	26	to	to	ADP
ajase-4235	69	27	the	the	DET
ajase-4235	69	28	gztp	gztp	ADJ
ajase-4235	69	29	distribution	distribution	NOUN
ajase-4235	69	30	.	.	PUNCT
ajase-4235	70	1	this	this	PRON
ajase-4235	70	2	suggests	suggest	VERB
ajase-4235	70	3	that	that	SCONJ
ajase-4235	70	4	the	the	DET
ajase-4235	70	5	ztpp	ztpp	NOUN
ajase-4235	70	6	distribution	distribution	NOUN
ajase-4235	70	7	provides	provide	VERB
ajase-4235	70	8	a	a	DET
ajase-4235	70	9	better	well	ADJ
ajase-4235	70	10	fit	fit	NOUN
ajase-4235	70	11	for	for	ADP
ajase-4235	70	12	the	the	DET
ajase-4235	70	13	economic	economic	ADJ
ajase-4235	70	14	datasets	dataset	NOUN
ajase-4235	70	15	under	under	ADP
ajase-4235	70	16	consideration	consideration	NOUN
ajase-4235	70	17	.	.	PUNCT
ajase-4235	71	1	results	result	NOUN
ajase-4235	71	2	and	and	CCONJ
ajase-4235	71	3	discussions	discussion	NOUN
ajase-4235	71	4	table	table	NOUN
ajase-4235	71	5	2	2	NUM
ajase-4235	71	6	provides	provide	VERB
ajase-4235	71	7	an	an	DET
ajase-4235	71	8	overview	overview	NOUN
ajase-4235	71	9	of	of	ADP
ajase-4235	71	10	the	the	DET
ajase-4235	71	11	descriptive	descriptive	ADJ
ajase-4235	71	12	statistics	statistic	NOUN
ajase-4235	71	13	for	for	ADP
ajase-4235	71	14	key	key	ADJ
ajase-4235	71	15	economic	economic	ADJ
ajase-4235	71	16	variables	variable	NOUN
ajase-4235	71	17	employed	employ	VERB
ajase-4235	71	18	in	in	ADP
ajase-4235	71	19	the	the	DET
ajase-4235	71	20	study	study	NOUN
ajase-4235	71	21	,	,	PUNCT
ajase-4235	71	22	highlighting	highlight	VERB
ajase-4235	71	23	their	their	PRON
ajase-4235	71	24	central	central	ADJ
ajase-4235	71	25	tendencies	tendency	NOUN
ajase-4235	71	26	,	,	PUNCT
ajase-4235	71	27	variability	variability	NOUN
ajase-4235	71	28	,	,	PUNCT
ajase-4235	71	29	and	and	CCONJ
ajase-4235	71	30	table	table	NOUN
ajase-4235	71	31	2	2	NUM
ajase-4235	71	32	:	:	PUNCT
ajase-4235	71	33	descriptive	descriptive	ADJ
ajase-4235	71	34	statistics	statistic	NOUN
ajase-4235	71	35	of	of	ADP
ajase-4235	71	36	dataset	dataset	ADJ
ajase-4235	71	37	variable	variable	ADJ
ajase-4235	71	38	mean	mean	PROPN
ajase-4235	71	39	st	st	PROPN
ajase-4235	71	40	.	.	PROPN
ajase-4235	71	41	dev	dev	PROPN
ajase-4235	71	42	minimum	minimum	PROPN
ajase-4235	71	43	median	median	PROPN
ajase-4235	71	44	maximum	maximum	PROPN
ajase-4235	71	45	skewness	skewness	NOUN
ajase-4235	71	46	kurtosis	kurtosis	VERB
ajase-4235	71	47	rgdp	rgdp	NOUN
ajase-4235	71	48	365	365	NUM
ajase-4235	71	49	99	99	NUM
ajase-4235	71	50	237	237	NUM
ajase-4235	71	51	330	330	NUM
ajase-4235	71	52	569	569	NUM
ajase-4235	71	53	0.72	0.72	NUM
ajase-4235	71	54	-0.72	-0.72	NUM
ajase-4235	71	55	export_goods	export_good	NOUN
ajase-4235	71	56	40	40	NUM
ajase-4235	71	57	30	30	NUM
ajase-4235	71	58	10	10	NUM
ajase-4235	71	59	31	31	NUM
ajase-4235	71	60	99	99	NUM
ajase-4235	71	61	0.76	0.76	NUM
ajase-4235	71	62	-0.78	-0.78	NUM
ajase-4235	71	63	import_goods	import_good	NOUN
ajase-4235	71	64	26	26	NUM
ajase-4235	71	65	19	19	NUM
ajase-4235	71	66	6	6	NUM
ajase-4235	71	67	20	20	NUM
ajase-4235	71	68	66	66	NUM
ajase-4235	71	69	0.77	0.77	NUM
ajase-4235	71	70	-0.78	-0.78	NUM
ajase-4235	71	71	money_supply(m2	money_supply(m2	NOUN
ajase-4235	71	72	)	)	PUNCT
ajase-4235	71	73	59694188	59694188	NUM
ajase-4235	71	74	20216127	20216127	NUM
ajase-4235	71	75	32262332	32262332	NUM
ajase-4235	71	76	56782642	56782642	NUM
ajase-4235	71	77	109951956	109951956	NUM
ajase-4235	71	78	0.57	0.57	NUM
ajase-4235	71	79	-0.36	-0.36	NOUN
ajase-4235	71	80	brent	brent	PROPN
ajase-4235	71	81	crude	crude	PROPN
ajase-4235	71	82	(	(	PUNCT
ajase-4235	71	83	brt	brt	PROPN
ajase-4235	71	84	)	)	PUNCT
ajase-4235	71	85	47	47	NUM
ajase-4235	71	86	32	32	NUM
ajase-4235	71	87	11	11	NUM
ajase-4235	71	88	35	35	NUM
ajase-4235	71	89	133	133	NUM
ajase-4235	71	90	0.89	0.89	NUM
ajase-4235	71	91	-0.32	-0.32	NUM
ajase-4235	71	92	table	table	NOUN
ajase-4235	71	93	3	3	NUM
ajase-4235	71	94	:	:	PUNCT
ajase-4235	71	95	performance	performance	NOUN
ajase-4235	71	96	comparison	comparison	NOUN
ajase-4235	71	97	of	of	ADP
ajase-4235	71	98	gztp	gztp	NOUN
ajase-4235	71	99	and	and	CCONJ
ajase-4235	71	100	ztpp	ztpp	NOUN
ajase-4235	71	101	distributions	distribution	NOUN
ajase-4235	71	102	across	across	ADP
ajase-4235	71	103	economic	economic	ADJ
ajase-4235	71	104	datasets	dataset	NOUN
ajase-4235	71	105	dataset	dataset	NOUN
ajase-4235	71	106	distributions	distribution	NOUN
ajase-4235	71	107	parameter	parameter	NOUN
ajase-4235	71	108	estimates	estimate	VERB
ajase-4235	71	109	aic	aic	PROPN
ajase-4235	71	110	bic	bic	PROPN
ajase-4235	71	111	mse	mse	PROPN
ajase-4235	71	112	rgdp	rgdp	PROPN
ajase-4235	71	113	gztp	gztp	NOUN
ajase-4235	71	114	λ=0.1000,p=1.0000	λ=0.1000,p=1.0000	PROPN
ajase-4235	71	115	-2258.61900	-2258.61900	NOUN
ajase-4235	71	116	-2255.8700	-2255.8700	ADJ
ajase-4235	71	117	148809.8000	148809.8000	NUM
ajase-4235	71	118	ztpp	ztpp	NOUN
ajase-4235	72	1	λ=1.0000	λ=1.0000	NOUN
ajase-4235	73	1	-2150.6200	-2150.6200	X
ajase-4235	73	2	-2154.2200	-2154.2200	NOUN
ajase-4235	73	3	143807.4000	143807.4000	NUM
ajase-4235	73	4	export_goods	export_goods	PROPN
ajase-4235	73	5	gztp	gztp	NOUN
ajase-4235	73	6	λ=1.0000,p=0.1000	λ=1.0000,p=0.1000	PROPN
ajase-4235	74	1	-158.61900	-158.61900	NOUN
ajase-4235	74	2	-155.8170	-155.8170	NUM
ajase-4235	75	1	2488.2640	2488.2640	NUM
ajase-4235	75	2	ztpp	ztpp	NOUN
ajase-4235	75	3	λ=33.5437	λ=33.5437	NOUN
ajase-4235	75	4	-791.1342	-791.1342	PROPN
ajase-4235	75	5	-791.733	-791.733	NUM
ajase-4235	76	1	2487.7510	2487.7510	NUM
ajase-4235	76	2	import_goods	import_goods	PROPN
ajase-4235	76	3	gztp	gztp	NOUN
ajase-4235	76	4	λ=1.0000,p=0.1000	λ=1.0000,p=0.1000	PROPN
ajase-4235	77	1	-158.6300	-158.6300	INTJ
ajase-4235	77	2	-155.8170	-155.8170	NUM
ajase-4235	77	3	1009.2800	1009.2800	NUM
ajase-4235	77	4	ztpp	ztpp	NOUN
ajase-4235	77	5	λ=25.4986	λ=25.4986	X
ajase-4235	77	6	-541.2217	-541.2217	NOUN
ajase-4235	77	7	-543.8205	-543.8205	NUM
ajase-4235	78	1	1009.6800	1009.6800	NUM
ajase-4235	78	2	l	l	NOUN
ajase-4235	78	3	o	o	X
ajase-4235	78	4	g	g	NOUN
ajase-4235	78	5	(	(	PUNCT
ajase-4235	78	6	m	m	VERB
ajase-4235	78	7	o	o	NOUN
ajase-4235	78	8	n	n	X
ajase-4235	78	9	e	e	X
ajase-4235	78	10	y	y	PROPN
ajase-4235	78	11	_	_	NOUN
ajase-4235	78	12	supply	supply	NOUN
ajase-4235	78	13	)	)	PUNCT
ajase-4235	78	14	gztp	gztp	NOUN
ajase-4235	78	15	λ=1.0000,p=0.1000	λ=1.0000,p=0.1000	PROPN
ajase-4235	78	16	-167.8410	-167.8410	NUM
ajase-4235	78	17	-164.273	-164.273	NUM
ajase-4235	79	1	318.6976	318.6976	NUM
ajase-4235	79	2	ztpp	ztpp	NOUN
ajase-4235	79	3	λ=17.8489	λ=17.8489	NOUN
ajase-4235	79	4	-202.3526	-202.3526	NOUN
ajase-4235	80	1	-198.5684	-198.5684	NOUN
ajase-4235	80	2	315.3769	315.3769	NUM
ajase-4235	80	3	brt	brt	NOUN
ajase-4235	80	4	gztp	gztp	NOUN
ajase-4235	80	5	λ=1.0000,p=0.1000	λ=1.0000,p=0.1000	PROPN
ajase-4235	80	6	-1088.2200	-1088.2200	ADP
ajase-4235	80	7	-1082.3400	-1082.3400	NOUN
ajase-4235	81	1	3189.9470	3189.9470	NUM
ajase-4235	81	2	ztpp	ztpp	NOUN
ajase-4235	81	3	λ=38.1595	λ=38.1595	VERB
ajase-4235	81	4	-3427.3550	-3427.3550	PRON
ajase-4235	81	5	-3424.4130	-3424.4130	PUNCT
ajase-4235	81	6	3189.4930	3189.4930	NUM
ajase-4235	81	7	distributional	distributional	ADJ
ajase-4235	81	8	characteristics	characteristic	NOUN
ajase-4235	81	9	.	.	PUNCT
ajase-4235	82	1	the	the	DET
ajase-4235	82	2	real	real	ADJ
ajase-4235	82	3	gross	gross	ADJ
ajase-4235	82	4	domestic	domestic	ADJ
ajase-4235	82	5	product	product	NOUN
ajase-4235	82	6	(	(	PUNCT
ajase-4235	82	7	rgdp	rgdp	NOUN
ajase-4235	82	8	)	)	PUNCT
ajase-4235	82	9	exhibits	exhibit	VERB
ajase-4235	82	10	a	a	DET
ajase-4235	82	11	mean	mean	NOUN
ajase-4235	82	12	of	of	ADP
ajase-4235	82	13	365	365	NUM
ajase-4235	82	14	units	unit	NOUN
ajase-4235	82	15	with	with	ADP
ajase-4235	82	16	a	a	DET
ajase-4235	82	17	standard	standard	ADJ
ajase-4235	82	18	deviation	deviation	NOUN
ajase-4235	82	19	of	of	ADP
ajase-4235	82	20	99	99	NUM
ajase-4235	82	21	,	,	PUNCT
ajase-4235	82	22	indicating	indicate	VERB
ajase-4235	82	23	moderate	moderate	ADJ
ajase-4235	82	24	variability	variability	NOUN
ajase-4235	82	25	around	around	ADP
ajase-4235	82	26	the	the	DET
ajase-4235	82	27	average	average	NOUN
ajase-4235	82	28	,	,	PUNCT
ajase-4235	82	29	and	and	CCONJ
ajase-4235	82	30	ranges	range	VERB
ajase-4235	82	31	from	from	ADP
ajase-4235	82	32	237	237	NUM
ajase-4235	82	33	to	to	ADP
ajase-4235	82	34	569	569	NUM
ajase-4235	82	35	units	unit	NOUN
ajase-4235	82	36	,	,	PUNCT
ajase-4235	82	37	with	with	ADP
ajase-4235	82	38	a	a	DET
ajase-4235	82	39	median	median	NOUN
ajase-4235	82	40	of	of	ADP
ajase-4235	82	41	330	330	NUM
ajase-4235	82	42	.	.	PUNCT
ajase-4235	83	1	the	the	DET
ajase-4235	83	2	skewness	skewness	NOUN
ajase-4235	83	3	of	of	ADP
ajase-4235	83	4	0.72	0.72	NUM
ajase-4235	83	5	suggests	suggest	VERB
ajase-4235	83	6	a	a	DET
ajase-4235	83	7	slight	slight	ADJ
ajase-4235	83	8	rightward	rightward	NOUN
ajase-4235	83	9	skew	skew	NOUN
ajase-4235	83	10	,	,	PUNCT
ajase-4235	83	11	while	while	SCONJ
ajase-4235	83	12	the	the	DET
ajase-4235	83	13	negative	negative	ADJ
ajase-4235	83	14	kurtosis	kurtosis	NOUN
ajase-4235	83	15	(	(	PUNCT
ajase-4235	83	16	-0.72	-0.72	NUM
ajase-4235	83	17	)	)	PUNCT
ajase-4235	83	18	indicates	indicate	VERB
ajase-4235	83	19	a	a	DET
ajase-4235	83	20	relatively	relatively	ADV
ajase-4235	83	21	flat	flat	ADJ
ajase-4235	83	22	distribution	distribution	NOUN
ajase-4235	83	23	compared	compare	VERB
ajase-4235	83	24	to	to	ADP
ajase-4235	83	25	the	the	DET
ajase-4235	83	26	normal	normal	ADJ
ajase-4235	83	27	curve	curve	NOUN
ajase-4235	83	28	.	.	PUNCT
ajase-4235	84	1	exported	export	VERB
ajase-4235	84	2	goods	good	NOUN
ajase-4235	84	3	have	have	VERB
ajase-4235	84	4	a	a	DET
ajase-4235	84	5	mean	mean	ADJ
ajase-4235	84	6	value	value	NOUN
ajase-4235	84	7	of	of	ADP
ajase-4235	84	8	40	40	NUM
ajase-4235	84	9	units	unit	NOUN
ajase-4235	84	10	and	and	CCONJ
ajase-4235	84	11	a	a	DET
ajase-4235	84	12	standard	standard	ADJ
ajase-4235	84	13	deviation	deviation	NOUN
ajase-4235	84	14	of	of	ADP
ajase-4235	84	15	30	30	NUM
ajase-4235	84	16	,	,	PUNCT
ajase-4235	84	17	with	with	ADP
ajase-4235	84	18	values	value	NOUN
ajase-4235	84	19	spanning	span	VERB
ajase-4235	84	20	from	from	ADP
ajase-4235	84	21	10	10	NUM
ajase-4235	84	22	to	to	PART
ajase-4235	84	23	99	99	NUM
ajase-4235	84	24	units	unit	NOUN
ajase-4235	84	25	.	.	PUNCT
ajase-4235	85	1	its	its	PRON
ajase-4235	85	2	skewness	skewness	NOUN
ajase-4235	85	3	(	(	PUNCT
ajase-4235	85	4	0.76	0.76	NUM
ajase-4235	85	5	)	)	PUNCT
ajase-4235	85	6	and	and	CCONJ
ajase-4235	85	7	kurtosis	kurtosis	VERB
ajase-4235	85	8	(	(	PUNCT
ajase-4235	85	9	-0.78	-0.78	NUM
ajase-4235	85	10	)	)	PUNCT
ajase-4235	85	11	reflect	reflect	VERB
ajase-4235	85	12	a	a	DET
ajase-4235	85	13	similar	similar	ADJ
ajase-4235	85	14	pattern	pattern	NOUN
ajase-4235	85	15	to	to	ADP
ajase-4235	85	16	rgdp	rgdp	NOUN
ajase-4235	85	17	,	,	PUNCT
ajase-4235	85	18	indicating	indicate	VERB
ajase-4235	85	19	asymmetry	asymmetry	NOUN
ajase-4235	85	20	and	and	CCONJ
ajase-4235	85	21	platykurtic	platykurtic	ADJ
ajase-4235	85	22	tendencies	tendency	NOUN
ajase-4235	85	23	.	.	PUNCT
ajase-4235	86	1	import	import	NOUN
ajase-4235	86	2	goods	good	NOUN
ajase-4235	86	3	average	average	VERB
ajase-4235	86	4	26	26	NUM
ajase-4235	86	5	units	unit	NOUN
ajase-4235	86	6	with	with	ADP
ajase-4235	86	7	a	a	DET
ajase-4235	86	8	standard	standard	ADJ
ajase-4235	86	9	deviation	deviation	NOUN
ajase-4235	86	10	of	of	ADP
ajase-4235	86	11	19	19	NUM
ajase-4235	86	12	,	,	PUNCT
ajase-4235	86	13	ranging	range	VERB
ajase-4235	86	14	from	from	ADP
ajase-4235	86	15	6	6	NUM
ajase-4235	86	16	to	to	PART
ajase-4235	86	17	66	66	NUM
ajase-4235	86	18	units	unit	NOUN
ajase-4235	86	19	,	,	PUNCT
ajase-4235	86	20	showing	show	VERB
ajase-4235	86	21	a	a	DET
ajase-4235	86	22	slightly	slightly	ADV
ajase-4235	86	23	higher	high	ADJ
ajase-4235	86	24	skewness	skewness	NOUN
ajase-4235	86	25	(	(	PUNCT
ajase-4235	86	26	0.77	0.77	NUM
ajase-4235	86	27	)	)	PUNCT
ajase-4235	86	28	and	and	CCONJ
ajase-4235	86	29	comparable	comparable	ADJ
ajase-4235	86	30	kurtosis	kurtosis	NOUN
ajase-4235	86	31	(	(	PUNCT
ajase-4235	86	32	-0.78	-0.78	NUM
ajase-4235	86	33	)	)	PUNCT
ajase-4235	86	34	.	.	PUNCT
ajase-4235	87	1	the	the	DET
ajase-4235	87	2	money	money	NOUN
ajase-4235	87	3	supply	supply	NOUN
ajase-4235	87	4	(	(	PUNCT
ajase-4235	87	5	m2	m2	PROPN
ajase-4235	87	6	)	)	PUNCT
ajase-4235	87	7	variable	variable	NOUN
ajase-4235	87	8	,	,	PUNCT
ajase-4235	87	9	measured	measure	VERB
ajase-4235	87	10	in	in	ADP
ajase-4235	87	11	millions	million	NOUN
ajase-4235	87	12	,	,	PUNCT
ajase-4235	87	13	has	have	VERB
ajase-4235	87	14	a	a	DET
ajase-4235	87	15	mean	mean	NOUN
ajase-4235	87	16	of	of	ADP
ajase-4235	87	17	59,694,188	59,694,188	NUM
ajase-4235	87	18	and	and	CCONJ
ajase-4235	87	19	exhibits	exhibit	VERB
ajase-4235	87	20	substantial	substantial	ADJ
ajase-4235	87	21	variability	variability	NOUN
ajase-4235	87	22	(	(	PUNCT
ajase-4235	87	23	standard	standard	ADJ
ajase-4235	87	24	deviation	deviation	NOUN
ajase-4235	87	25	of	of	ADP
ajase-4235	87	26	20,216,127	20,216,127	NUM
ajase-4235	87	27	)	)	PUNCT
ajase-4235	87	28	,	,	PUNCT
ajase-4235	87	29	ranging	range	VERB
ajase-4235	87	30	from	from	ADP
ajase-4235	87	31	32,262,332	32,262,332	NUM
ajase-4235	87	32	to	to	ADP
ajase-4235	87	33	109,951,956	109,951,956	NUM
ajase-4235	87	34	.	.	PUNCT
ajase-4235	88	1	its	its	PRON
ajase-4235	88	2	skewness	skewness	NOUN
ajase-4235	88	3	(	(	PUNCT
ajase-4235	88	4	0.57	0.57	NUM
ajase-4235	88	5	)	)	PUNCT
ajase-4235	88	6	and	and	CCONJ
ajase-4235	88	7	kurtosis	kurtosis	NOUN
ajase-4235	88	8	(	(	PUNCT
ajase-4235	88	9	-0.36	-0.36	NUM
ajase-4235	88	10	)	)	PUNCT
ajase-4235	88	11	indicate	indicate	VERB
ajase-4235	88	12	a	a	DET
ajase-4235	88	13	mild	mild	ADJ
ajase-4235	88	14	rightward	rightward	NOUN
ajase-4235	88	15	skew	skew	NOUN
ajase-4235	88	16	and	and	CCONJ
ajase-4235	88	17	a	a	DET
ajase-4235	88	18	distribution	distribution	NOUN
ajase-4235	88	19	closer	close	ADV
ajase-4235	88	20	to	to	ADP
ajase-4235	88	21	normal	normal	ADJ
ajase-4235	88	22	.	.	PUNCT
ajase-4235	89	1	lastly	lastly	ADV
ajase-4235	89	2	,	,	PUNCT
ajase-4235	89	3	brent	brent	PROPN
ajase-4235	89	4	crude	crude	PROPN
ajase-4235	89	5	(	(	PUNCT
ajase-4235	89	6	brt	brt	PROPN
ajase-4235	89	7	)	)	PUNCT
ajase-4235	89	8	prices	price	NOUN
ajase-4235	89	9	show	show	VERB
ajase-4235	89	10	the	the	DET
ajase-4235	89	11	highest	high	ADJ
ajase-4235	89	12	variability	variability	NOUN
ajase-4235	89	13	,	,	PUNCT
ajase-4235	89	14	with	with	ADP
ajase-4235	89	15	a	a	DET
ajase-4235	89	16	mean	mean	NOUN
ajase-4235	89	17	of	of	ADP
ajase-4235	89	18	47	47	NUM
ajase-4235	89	19	,	,	PUNCT
ajase-4235	89	20	a	a	DET
ajase-4235	89	21	standard	standard	ADJ
ajase-4235	89	22	deviation	deviation	NOUN
ajase-4235	89	23	of	of	ADP
ajase-4235	89	24	32	32	NUM
ajase-4235	89	25	,	,	PUNCT
ajase-4235	89	26	and	and	CCONJ
ajase-4235	89	27	a	a	DET
ajase-4235	89	28	range	range	NOUN
ajase-4235	89	29	from	from	ADP
ajase-4235	89	30	11	11	NUM
ajase-4235	89	31	to	to	ADP
ajase-4235	89	32	133	133	NUM
ajase-4235	89	33	.	.	PUNCT
ajase-4235	90	1	its	its	PRON
ajase-4235	90	2	skewness	skewness	NOUN
ajase-4235	90	3	(	(	PUNCT
ajase-4235	90	4	0.89	0.89	NUM
ajase-4235	90	5	)	)	PUNCT
ajase-4235	90	6	highlights	highlight	NOUN
ajase-4235	90	7	a	a	DET
ajase-4235	90	8	more	more	ADV
ajase-4235	90	9	pronounced	pronounced	ADJ
ajase-4235	90	10	rightward	rightward	ADJ
ajase-4235	90	11	skew	skew	NOUN
ajase-4235	90	12	,	,	PUNCT
ajase-4235	90	13	while	while	SCONJ
ajase-4235	90	14	the	the	DET
ajase-4235	90	15	kurtosis	kurtosis	NOUN
ajase-4235	90	16	(	(	PUNCT
ajase-4235	90	17	-0.32	-0.32	VERB
ajase-4235	90	18	)	)	PUNCT
ajase-4235	90	19	remains	remain	VERB
ajase-4235	90	20	slightly	slightly	ADV
ajase-4235	90	21	platykurtic	platykurtic	ADJ
ajase-4235	90	22	.	.	PUNCT
ajase-4235	91	1	these	these	DET
ajase-4235	91	2	statistics	statistic	NOUN
ajase-4235	91	3	collectively	collectively	ADV
ajase-4235	91	4	reveal	reveal	VERB
ajase-4235	91	5	distinct	distinct	ADJ
ajase-4235	91	6	patterns	pattern	NOUN
ajase-4235	91	7	and	and	CCONJ
ajase-4235	91	8	variability	variability	NOUN
ajase-4235	91	9	across	across	ADP
ajase-4235	91	10	the	the	DET
ajase-4235	91	11	variables	variable	NOUN
ajase-4235	91	12	,	,	PUNCT
ajase-4235	91	13	providing	provide	VERB
ajase-4235	91	14	insights	insight	NOUN
ajase-4235	91	15	into	into	ADP
ajase-4235	91	16	their	their	PRON
ajase-4235	91	17	economic	economic	ADJ
ajase-4235	91	18	implications	implication	NOUN
ajase-4235	91	19	and	and	CCONJ
ajase-4235	91	20	informing	inform	VERB
ajase-4235	91	21	further	further	ADJ
ajase-4235	91	22	analyses	analysis	NOUN
ajase-4235	91	23	.	.	PUNCT
ajase-4235	92	1	the	the	DET
ajase-4235	92	2	result	result	NOUN
ajase-4235	92	3	presented	present	VERB
ajase-4235	92	4	in	in	ADP
ajase-4235	92	5	table	table	NOUN
ajase-4235	92	6	3	3	NUM
ajase-4235	92	7	summarizes	summarize	NOUN
ajase-4235	92	8	the	the	DET
ajase-4235	92	9	performance	performance	NOUN
ajase-4235	92	10	metrics	metric	NOUN
ajase-4235	92	11	of	of	ADP
ajase-4235	92	12	the	the	DET
ajase-4235	92	13	gztp	gztp	NOUN
ajase-4235	92	14	and	and	CCONJ
ajase-4235	92	15	ztpp	ztpp	NOUN
ajase-4235	92	16	distributions	distribution	NOUN
ajase-4235	92	17	across	across	ADP
ajase-4235	92	18	various	various	ADJ
ajase-4235	92	19	economic	economic	ADJ
ajase-4235	92	20	datasets	dataset	NOUN
ajase-4235	92	21	,	,	PUNCT
ajase-4235	92	22	providing	provide	VERB
ajase-4235	92	23	insights	insight	NOUN
ajase-4235	92	24	into	into	ADP
ajase-4235	92	25	their	their	PRON
ajase-4235	92	26	parameter	parameter	NOUN
ajase-4235	92	27	estimates	estimate	NOUN
ajase-4235	92	28	,	,	PUNCT
ajase-4235	92	29	model	model	NOUN
ajase-4235	92	30	fit	fit	PROPN
ajase-4235	92	31	,	,	PUNCT
ajase-4235	92	32	and	and	CCONJ
ajase-4235	92	33	predictive	predictive	ADJ
ajase-4235	92	34	accuracy	accuracy	NOUN
ajase-4235	92	35	.	.	PUNCT
ajase-4235	93	1	for	for	ADP
ajase-4235	93	2	rgdp	rgdp	NOUN
ajase-4235	93	3	,	,	PUNCT
ajase-4235	93	4	the	the	DET
ajase-4235	93	5	gztp	gztp	NOUN
ajase-4235	93	6	distribution	distribution	NOUN
ajase-4235	93	7	achieved	achieve	VERB
ajase-4235	93	8	a	a	DET
ajase-4235	93	9	lower	low	ADJ
ajase-4235	93	10	aic	aic	PROPN
ajase-4235	93	11	(	(	PUNCT
ajase-4235	93	12	-2258.62	-2258.62	PROPN
ajase-4235	93	13	)	)	PUNCT
ajase-4235	93	14	and	and	CCONJ
ajase-4235	93	15	bic	bic	PROPN
ajase-4235	93	16	(	(	PUNCT
ajase-4235	93	17	-2255.87	-2255.87	PROPN
ajase-4235	93	18	)	)	PUNCT
ajase-4235	93	19	compared	compare	VERB
ajase-4235	93	20	to	to	ADP
ajase-4235	93	21	the	the	DET
ajase-4235	93	22	ztpp	ztpp	NOUN
ajase-4235	93	23	(	(	PUNCT
ajase-4235	93	24	-2150.62	-2150.62	NOUN
ajase-4235	93	25	and	and	CCONJ
ajase-4235	93	26	-2154.22	-2154.22	NOUN
ajase-4235	93	27	,	,	PUNCT
ajase-4235	93	28	respectively	respectively	ADV
ajase-4235	93	29	)	)	PUNCT
ajase-4235	93	30	,	,	PUNCT
ajase-4235	93	31	but	but	CCONJ
ajase-4235	93	32	the	the	DET
ajase-4235	93	33	ztpp	ztpp	NOUN
ajase-4235	93	34	showed	show	VERB
ajase-4235	93	35	a	a	DET
ajase-4235	93	36	marginally	marginally	ADV
ajase-4235	93	37	lower	low	ADJ
ajase-4235	93	38	mean	mean	NOUN
ajase-4235	93	39	squared	square	VERB
ajase-4235	93	40	error	error	NOUN
ajase-4235	93	41	(	(	PUNCT
ajase-4235	93	42	mse	mse	NOUN
ajase-4235	93	43	)	)	PUNCT
ajase-4235	93	44	of	of	ADP
ajase-4235	93	45	143,807.4	143,807.4	NUM
ajase-4235	93	46	versus	versus	ADP
ajase-4235	93	47	148,809.8	148,809.8	NUM
ajase-4235	93	48	for	for	ADP
ajase-4235	93	49	the	the	DET
ajase-4235	93	50	gztp	gztp	NOUN
ajase-4235	93	51	.	.	PUNCT
ajase-4235	94	1	similarly	similarly	ADV
ajase-4235	94	2	,	,	PUNCT
ajase-4235	94	3	pa	pa	PROPN
ajase-4235	94	4	ge	ge	PROPN
ajase-4235	94	5	68	68	NUM
ajase-4235	94	6	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-4235	94	7	am	am	NOUN
ajase-4235	94	8	.	.	PUNCT
ajase-4235	95	1	j.	j.	PROPN
ajase-4235	95	2	appl	appl	PROPN
ajase-4235	95	3	.	.	PROPN
ajase-4235	96	1	stat	stat	PROPN
ajase-4235	96	2	.	.	PUNCT
ajase-4235	97	1	econ	econ	PROPN
ajase-4235	97	2	.	.	PUNCT
ajase-4235	98	1	4(1	4(1	X
ajase-4235	98	2	)	)	PUNCT
ajase-4235	98	3	65	65	NUM
ajase-4235	98	4	-	-	SYM
ajase-4235	98	5	69	69	NUM
ajase-4235	98	6	,	,	PUNCT
ajase-4235	98	7	2025	2025	NUM
ajase-4235	98	8	for	for	ADP
ajase-4235	98	9	export_goods	export_good	NOUN
ajase-4235	98	10	,	,	PUNCT
ajase-4235	98	11	ztpp	ztpp	NOUN
ajase-4235	98	12	demonstrated	demonstrate	VERB
ajase-4235	98	13	superior	superior	ADJ
ajase-4235	98	14	fit	fit	ADJ
ajase-4235	98	15	metrics	metric	NOUN
ajase-4235	98	16	(	(	PUNCT
ajase-4235	98	17	aic	aic	PROPN
ajase-4235	98	18	=	=	SYM
ajase-4235	98	19	-791.13	-791.13	PROPN
ajase-4235	98	20	,	,	PUNCT
ajase-4235	98	21	bic	bic	PROPN
ajase-4235	98	22	=	=	SYM
ajase-4235	98	23	-791.73	-791.73	PROPN
ajase-4235	98	24	)	)	PUNCT
ajase-4235	98	25	and	and	CCONJ
ajase-4235	98	26	a	a	DET
ajase-4235	98	27	slightly	slightly	ADV
ajase-4235	98	28	better	well	ADJ
ajase-4235	98	29	mse	mse	NOUN
ajase-4235	98	30	(	(	PUNCT
ajase-4235	98	31	2487.75	2487.75	NUM
ajase-4235	98	32	)	)	PUNCT
ajase-4235	98	33	than	than	ADP
ajase-4235	98	34	gztp	gztp	NOUN
ajase-4235	98	35	(	(	PUNCT
ajase-4235	98	36	aic	aic	PROPN
ajase-4235	98	37	=	=	SYM
ajase-4235	98	38	-158.62	-158.62	PROPN
ajase-4235	98	39	,	,	PUNCT
ajase-4235	98	40	bic	bic	PROPN
ajase-4235	98	41	=	=	SYM
ajase-4235	98	42	-155.82	-155.82	PROPN
ajase-4235	98	43	,	,	PUNCT
ajase-4235	98	44	mse	mse	NOUN
ajase-4235	98	45	=	=	PUNCT
ajase-4235	98	46	2488.26	2488.26	NUM
ajase-4235	98	47	)	)	PUNCT
ajase-4235	98	48	.	.	PUNCT
ajase-4235	99	1	in	in	ADP
ajase-4235	99	2	the	the	DET
ajase-4235	99	3	import_goods	import_good	NOUN
ajase-4235	99	4	dataset	dataset	VERB
ajase-4235	99	5	,	,	PUNCT
ajase-4235	99	6	gztp	gztp	VERB
ajase-4235	99	7	slightly	slightly	ADV
ajase-4235	99	8	outperformed	outperform	VERB
ajase-4235	99	9	ztpp	ztpp	NOUN
ajase-4235	99	10	in	in	ADP
ajase-4235	99	11	mse	mse	PROPN
ajase-4235	99	12	(	(	PUNCT
ajase-4235	99	13	1009.28	1009.28	NUM
ajase-4235	99	14	vs.	vs.	ADP
ajase-4235	99	15	1009.68	1009.68	NUM
ajase-4235	99	16	)	)	PUNCT
ajase-4235	99	17	,	,	PUNCT
ajase-4235	99	18	but	but	CCONJ
ajase-4235	99	19	ztpp	ztpp	NOUN
ajase-4235	99	20	had	have	VERB
ajase-4235	99	21	better	well	ADJ
ajase-4235	99	22	aic	aic	PROPN
ajase-4235	99	23	and	and	CCONJ
ajase-4235	99	24	bic	bic	PROPN
ajase-4235	99	25	values	value	NOUN
ajase-4235	99	26	(	(	PUNCT
ajase-4235	99	27	-541.22	-541.22	PROPN
ajase-4235	99	28	and	and	CCONJ
ajase-4235	99	29	-543.82	-543.82	PROPN
ajase-4235	99	30	,	,	PUNCT
ajase-4235	99	31	respectively	respectively	ADV
ajase-4235	99	32	)	)	PUNCT
ajase-4235	99	33	.	.	PUNCT
ajase-4235	100	1	for	for	ADP
ajase-4235	100	2	log(money	log(money	NOUN
ajase-4235	100	3	_	_	NOUN
ajase-4235	100	4	supply	supply	NOUN
ajase-4235	100	5	)	)	PUNCT
ajase-4235	100	6	,	,	PUNCT
ajase-4235	100	7	ztpp	ztpp	NOUN
ajase-4235	100	8	consistently	consistently	ADV
ajase-4235	100	9	outperformed	outperform	VERB
ajase-4235	100	10	gztp	gztp	NOUN
ajase-4235	100	11	with	with	ADP
ajase-4235	100	12	a	a	DET
ajase-4235	100	13	lower	low	ADJ
ajase-4235	100	14	mse	mse	NOUN
ajase-4235	100	15	(	(	PUNCT
ajase-4235	100	16	315.38	315.38	NUM
ajase-4235	100	17	vs.	vs.	ADP
ajase-4235	100	18	318.70	318.70	NUM
ajase-4235	100	19	)	)	PUNCT
ajase-4235	100	20	,	,	PUNCT
ajase-4235	100	21	aic	aic	PROPN
ajase-4235	100	22	(	(	PUNCT
ajase-4235	100	23	-202.35	-202.35	PROPN
ajase-4235	100	24	vs.	vs.	X
ajase-4235	100	25	-167.84	-167.84	PROPN
ajase-4235	100	26	)	)	PUNCT
ajase-4235	100	27	,	,	PUNCT
ajase-4235	100	28	and	and	CCONJ
ajase-4235	100	29	bic	bic	PROPN
ajase-4235	100	30	(	(	PUNCT
ajase-4235	100	31	-198.57	-198.57	PROPN
ajase-4235	100	32	vs.	vs.	X
ajase-4235	100	33	-164.27	-164.27	PROPN
ajase-4235	100	34	)	)	PUNCT
ajase-4235	100	35	.	.	PUNCT
ajase-4235	101	1	lastly	lastly	ADV
ajase-4235	101	2	,	,	PUNCT
ajase-4235	101	3	in	in	ADP
ajase-4235	101	4	the	the	DET
ajase-4235	101	5	brent	brent	PROPN
ajase-4235	101	6	crude	crude	PROPN
ajase-4235	101	7	(	(	PUNCT
ajase-4235	101	8	brt	brt	PROPN
ajase-4235	101	9	)	)	PUNCT
ajase-4235	101	10	dataset	dataset	NOUN
ajase-4235	101	11	,	,	PUNCT
ajase-4235	101	12	ztpp	ztpp	NOUN
ajase-4235	101	13	exhibited	exhibit	VERB
ajase-4235	101	14	a	a	DET
ajase-4235	101	15	significant	significant	ADJ
ajase-4235	101	16	advantage	advantage	NOUN
ajase-4235	101	17	in	in	ADP
ajase-4235	101	18	aic	aic	PROPN
ajase-4235	101	19	(	(	PUNCT
ajase-4235	101	20	-3427.36	-3427.36	PROPN
ajase-4235	101	21	)	)	PUNCT
ajase-4235	101	22	and	and	CCONJ
ajase-4235	101	23	bic	bic	PROPN
ajase-4235	101	24	(	(	PUNCT
ajase-4235	101	25	-3424.41	-3424.41	PROPN
ajase-4235	101	26	)	)	PUNCT
ajase-4235	101	27	while	while	SCONJ
ajase-4235	101	28	maintaining	maintain	VERB
ajase-4235	101	29	a	a	DET
ajase-4235	101	30	marginally	marginally	ADV
ajase-4235	101	31	lower	low	ADJ
ajase-4235	101	32	mse	mse	NOUN
ajase-4235	101	33	(	(	PUNCT
ajase-4235	101	34	3189.49	3189.49	NUM
ajase-4235	101	35	vs.	vs.	ADP
ajase-4235	101	36	3189.95	3189.95	NUM
ajase-4235	101	37	)	)	PUNCT
ajase-4235	101	38	.	.	PUNCT
ajase-4235	102	1	these	these	DET
ajase-4235	102	2	results	result	NOUN
ajase-4235	102	3	underscore	underscore	VERB
ajase-4235	102	4	the	the	DET
ajase-4235	102	5	flexibility	flexibility	NOUN
ajase-4235	102	6	and	and	CCONJ
ajase-4235	102	7	robustness	robustness	NOUN
ajase-4235	102	8	of	of	ADP
ajase-4235	102	9	ztpp	ztpp	NOUN
ajase-4235	102	10	across	across	ADP
ajase-4235	102	11	datasets	dataset	NOUN
ajase-4235	102	12	,	,	PUNCT
ajase-4235	102	13	particularly	particularly	ADV
ajase-4235	102	14	in	in	ADP
ajase-4235	102	15	achieving	achieve	VERB
ajase-4235	102	16	better	well	ADJ
ajase-4235	102	17	model	model	NOUN
ajase-4235	102	18	fit	fit	ADJ
ajase-4235	102	19	and	and	CCONJ
ajase-4235	102	20	predictive	predictive	ADJ
ajase-4235	102	21	accuracy	accuracy	NOUN
ajase-4235	102	22	.	.	PUNCT
ajase-4235	103	1	table	table	NOUN
ajase-4235	103	2	4	4	NUM
ajase-4235	103	3	presents	present	VERB
ajase-4235	103	4	the	the	DET
ajase-4235	103	5	average	average	ADJ
ajase-4235	103	6	performance	performance	NOUN
ajase-4235	103	7	metrics	metric	NOUN
ajase-4235	103	8	of	of	ADP
ajase-4235	103	9	table	table	NOUN
ajase-4235	103	10	4	4	NUM
ajase-4235	103	11	:	:	PUNCT
ajase-4235	103	12	comparative	comparative	ADJ
ajase-4235	103	13	analysis	analysis	NOUN
ajase-4235	103	14	of	of	ADP
ajase-4235	103	15	average	average	ADJ
ajase-4235	103	16	performance	performance	NOUN
ajase-4235	103	17	metrics	metric	NOUN
ajase-4235	103	18	for	for	ADP
ajase-4235	103	19	gztp	gztp	NOUN
ajase-4235	103	20	and	and	CCONJ
ajase-4235	103	21	ztpp	ztpp	NOUN
ajase-4235	103	22	distributions	distribution	NOUN
ajase-4235	103	23	distributions	distribution	NOUN
ajase-4235	103	24	average	average	ADJ
ajase-4235	103	25	aic	aic	PROPN
ajase-4235	103	26	average	average	ADJ
ajase-4235	103	27	bic	bic	PROPN
ajase-4235	103	28	average	average	PROPN
ajase-4235	103	29	mse	mse	PROPN
ajase-4235	103	30	gztp	gztp	NOUN
ajase-4235	103	31	-766.386	-766.386	PUNCT
ajase-4235	103	32	-762.823	-762.823	NUM
ajase-4235	103	33	31163.2	31163.2	NUM
ajase-4235	103	34	ztpp	ztpp	NOUN
ajase-4235	103	35	-1422.54	-1422.54	PROPN
ajase-4235	103	36	-1422.55	-1422.55	PROPN
ajase-4235	103	37	30161.94	30161.94	NUM
ajase-4235	103	38	the	the	DET
ajase-4235	103	39	geometric	geometric	ADJ
ajase-4235	103	40	-	-	PUNCT
ajase-4235	103	41	zero	zero	NUM
ajase-4235	103	42	truncated	truncated	ADJ
ajase-4235	103	43	poisson	poisson	NOUN
ajase-4235	103	44	(	(	PUNCT
ajase-4235	103	45	gztp	gztp	NOUN
ajase-4235	103	46	)	)	PUNCT
ajase-4235	103	47	and	and	CCONJ
ajase-4235	103	48	zero	zero	NUM
ajase-4235	103	49	-	-	PUNCT
ajase-4235	103	50	truncated	truncate	VERB
ajase-4235	103	51	poisson	poisson	NOUN
ajase-4235	103	52	pareto	pareto	NOUN
ajase-4235	103	53	(	(	PUNCT
ajase-4235	103	54	ztpp	ztpp	NOUN
ajase-4235	103	55	)	)	PUNCT
ajase-4235	103	56	distributions	distribution	NOUN
ajase-4235	103	57	across	across	ADP
ajase-4235	103	58	multiple	multiple	ADJ
ajase-4235	103	59	datasets	dataset	NOUN
ajase-4235	103	60	,	,	PUNCT
ajase-4235	103	61	highlighting	highlight	VERB
ajase-4235	103	62	their	their	PRON
ajase-4235	103	63	comparative	comparative	ADJ
ajase-4235	103	64	effectiveness	effectiveness	NOUN
ajase-4235	103	65	.	.	PUNCT
ajase-4235	104	1	on	on	ADP
ajase-4235	104	2	average	average	ADJ
ajase-4235	104	3	,	,	PUNCT
ajase-4235	104	4	the	the	DET
ajase-4235	104	5	ztpp	ztpp	NOUN
ajase-4235	104	6	distribution	distribution	NOUN
ajase-4235	104	7	significantly	significantly	ADV
ajase-4235	104	8	outperformed	outperform	VERB
ajase-4235	104	9	the	the	DET
ajase-4235	104	10	gztp	gztp	NOUN
ajase-4235	104	11	in	in	ADP
ajase-4235	104	12	terms	term	NOUN
ajase-4235	104	13	of	of	ADP
ajase-4235	104	14	model	model	NOUN
ajase-4235	104	15	fit	fit	NOUN
ajase-4235	104	16	,	,	PUNCT
ajase-4235	104	17	as	as	SCONJ
ajase-4235	104	18	indicated	indicate	VERB
ajase-4235	104	19	by	by	ADP
ajase-4235	104	20	its	its	PRON
ajase-4235	104	21	lower	low	ADJ
ajase-4235	104	22	average	average	NOUN
ajase-4235	104	23	aic	aic	PROPN
ajase-4235	104	24	(	(	PUNCT
ajase-4235	104	25	-1422.54	-1422.54	PROPN
ajase-4235	104	26	)	)	PUNCT
ajase-4235	104	27	and	and	CCONJ
ajase-4235	104	28	average	average	ADJ
ajase-4235	104	29	bic	bic	PROPN
ajase-4235	104	30	(	(	PUNCT
ajase-4235	104	31	-1422.55	-1422.55	PROPN
ajase-4235	104	32	)	)	PUNCT
ajase-4235	104	33	,	,	PUNCT
ajase-4235	104	34	compared	compare	VERB
ajase-4235	104	35	to	to	ADP
ajase-4235	104	36	the	the	DET
ajase-4235	104	37	gztp	gztp	NOUN
ajase-4235	104	38	’s	’s	PART
ajase-4235	104	39	average	average	ADJ
ajase-4235	104	40	aic	aic	PROPN
ajase-4235	104	41	(	(	PUNCT
ajase-4235	104	42	-766.39	-766.39	PROPN
ajase-4235	104	43	)	)	PUNCT
ajase-4235	104	44	and	and	CCONJ
ajase-4235	104	45	average	average	ADJ
ajase-4235	104	46	bic	bic	PROPN
ajase-4235	104	47	(	(	PUNCT
ajase-4235	104	48	-762.82	-762.82	PROPN
ajase-4235	104	49	)	)	PUNCT
ajase-4235	104	50	.	.	PUNCT
ajase-4235	105	1	furthermore	furthermore	ADV
ajase-4235	105	2	,	,	PUNCT
ajase-4235	105	3	the	the	DET
ajase-4235	105	4	ztpp	ztpp	NOUN
ajase-4235	105	5	demonstrated	demonstrate	VERB
ajase-4235	105	6	superior	superior	ADJ
ajase-4235	105	7	predictive	predictive	ADJ
ajase-4235	105	8	accuracy	accuracy	NOUN
ajase-4235	105	9	,	,	PUNCT
ajase-4235	105	10	with	with	ADP
ajase-4235	105	11	a	a	DET
ajase-4235	105	12	lower	low	ADJ
ajase-4235	105	13	mean	mean	NOUN
ajase-4235	105	14	squared	square	VERB
ajase-4235	105	15	error	error	NOUN
ajase-4235	105	16	(	(	PUNCT
ajase-4235	105	17	mse	mse	NOUN
ajase-4235	105	18	)	)	PUNCT
ajase-4235	105	19	of	of	ADP
ajase-4235	105	20	30,161.94	30,161.94	PROPN
ajase-4235	105	21	,	,	PUNCT
ajase-4235	105	22	as	as	SCONJ
ajase-4235	105	23	opposed	oppose	VERB
ajase-4235	105	24	to	to	ADP
ajase-4235	105	25	31,163.2	31,163.2	NUM
ajase-4235	105	26	for	for	ADP
ajase-4235	105	27	the	the	DET
ajase-4235	105	28	gztp	gztp	NOUN
ajase-4235	105	29	.	.	PUNCT
ajase-4235	106	1	these	these	DET
ajase-4235	106	2	results	result	NOUN
ajase-4235	106	3	suggest	suggest	VERB
ajase-4235	106	4	that	that	SCONJ
ajase-4235	106	5	the	the	DET
ajase-4235	106	6	ztpp	ztpp	NOUN
ajase-4235	106	7	distribution	distribution	NOUN
ajase-4235	106	8	offers	offer	VERB
ajase-4235	106	9	a	a	DET
ajase-4235	106	10	more	more	ADV
ajase-4235	106	11	robust	robust	ADJ
ajase-4235	106	12	modelling	modelling	NOUN
ajase-4235	106	13	framework	framework	NOUN
ajase-4235	106	14	,	,	PUNCT
ajase-4235	106	15	with	with	ADP
ajase-4235	106	16	consistently	consistently	ADV
ajase-4235	106	17	better	well	ADJ
ajase-4235	106	18	performance	performance	NOUN
ajase-4235	106	19	metrics	metric	NOUN
ajase-4235	106	20	across	across	ADP
ajase-4235	106	21	datasets	dataset	NOUN
ajase-4235	106	22	,	,	PUNCT
ajase-4235	106	23	making	make	VERB
ajase-4235	106	24	it	it	PRON
ajase-4235	106	25	a	a	DET
ajase-4235	106	26	preferable	preferable	ADJ
ajase-4235	106	27	choice	choice	NOUN
ajase-4235	106	28	for	for	ADP
ajase-4235	106	29	applications	application	NOUN
ajase-4235	106	30	requiring	require	VERB
ajase-4235	106	31	high	high	ADJ
ajase-4235	106	32	accuracy	accuracy	NOUN
ajase-4235	106	33	and	and	CCONJ
ajase-4235	106	34	reliable	reliable	ADJ
ajase-4235	106	35	fit	fit	NOUN
ajase-4235	106	36	.	.	PUNCT
ajase-4235	107	1	conclusion	conclusion	NOUN
ajase-4235	107	2	this	this	DET
ajase-4235	107	3	study	study	NOUN
ajase-4235	107	4	highlights	highlight	VERB
ajase-4235	107	5	the	the	DET
ajase-4235	107	6	flexibility	flexibility	NOUN
ajase-4235	107	7	and	and	CCONJ
ajase-4235	107	8	robustness	robustness	NOUN
ajase-4235	107	9	of	of	ADP
ajase-4235	107	10	the	the	DET
ajase-4235	107	11	gztp	gztp	NOUN
ajase-4235	107	12	and	and	CCONJ
ajase-4235	107	13	ztpp	ztpp	NOUN
ajase-4235	107	14	distributions	distribution	NOUN
ajase-4235	107	15	in	in	ADP
ajase-4235	107	16	modelling	model	VERB
ajase-4235	107	17	real	real	ADJ
ajase-4235	107	18	-	-	PUNCT
ajase-4235	107	19	world	world	NOUN
ajase-4235	107	20	phenomena	phenomenon	NOUN
ajase-4235	107	21	,	,	PUNCT
ajase-4235	107	22	particularly	particularly	ADV
ajase-4235	107	23	in	in	ADP
ajase-4235	107	24	economic	economic	ADJ
ajase-4235	107	25	datasets	dataset	NOUN
ajase-4235	107	26	.	.	PUNCT
ajase-4235	108	1	the	the	DET
ajase-4235	108	2	gztp	gztp	NOUN
ajase-4235	108	3	distribution	distribution	NOUN
ajase-4235	108	4	,	,	PUNCT
ajase-4235	108	5	with	with	ADP
ajase-4235	108	6	its	its	PRON
ajase-4235	108	7	geometric	geometric	ADJ
ajase-4235	108	8	component	component	NOUN
ajase-4235	108	9	,	,	PUNCT
ajase-4235	108	10	is	be	AUX
ajase-4235	108	11	well	well	ADV
ajase-4235	108	12	-	-	PUNCT
ajase-4235	108	13	suited	suit	VERB
ajase-4235	108	14	for	for	ADP
ajase-4235	108	15	capturing	capture	VERB
ajase-4235	108	16	overdispersion	overdispersion	NOUN
ajase-4235	108	17	and	and	CCONJ
ajase-4235	108	18	varying	vary	VERB
ajase-4235	108	19	probabilities	probability	NOUN
ajase-4235	108	20	,	,	PUNCT
ajase-4235	108	21	making	make	VERB
ajase-4235	108	22	it	it	PRON
ajase-4235	108	23	adaptable	adaptable	ADJ
ajase-4235	108	24	to	to	ADP
ajase-4235	108	25	datasets	dataset	NOUN
ajase-4235	108	26	with	with	ADP
ajase-4235	108	27	decaying	decay	VERB
ajase-4235	108	28	probabilities	probability	NOUN
ajase-4235	108	29	.	.	PUNCT
ajase-4235	109	1	conversely	conversely	ADV
ajase-4235	109	2	,	,	PUNCT
ajase-4235	109	3	the	the	DET
ajase-4235	109	4	ztpp	ztpp	NOUN
ajase-4235	109	5	distribution	distribution	NOUN
ajase-4235	109	6	,	,	PUNCT
ajase-4235	109	7	relying	rely	VERB
ajase-4235	109	8	solely	solely	ADV
ajase-4235	109	9	on	on	ADP
ajase-4235	109	10	the	the	DET
ajase-4235	109	11	rate	rate	NOUN
ajase-4235	109	12	parameter	parameter	PROPN
ajase-4235	109	13	λ	λ	PROPN
ajase-4235	109	14	,	,	PUNCT
ajase-4235	109	15	excels	excel	VERB
ajase-4235	109	16	in	in	ADP
ajase-4235	109	17	handling	handle	VERB
ajase-4235	109	18	count	count	NOUN
ajase-4235	109	19	data	datum	NOUN
ajase-4235	109	20	where	where	SCONJ
ajase-4235	109	21	zero	zero	NUM
ajase-4235	109	22	occurrences	occurrence	NOUN
ajase-4235	109	23	are	be	AUX
ajase-4235	109	24	impossible	impossible	ADJ
ajase-4235	109	25	,	,	PUNCT
ajase-4235	109	26	providing	provide	VERB
ajase-4235	109	27	a	a	DET
ajase-4235	109	28	simpler	simple	ADJ
ajase-4235	109	29	yet	yet	CCONJ
ajase-4235	109	30	effective	effective	ADJ
ajase-4235	109	31	approach	approach	NOUN
ajase-4235	109	32	.	.	PUNCT
ajase-4235	110	1	the	the	DET
ajase-4235	110	2	descriptive	descriptive	ADJ
ajase-4235	110	3	statistics	statistic	NOUN
ajase-4235	110	4	of	of	ADP
ajase-4235	110	5	key	key	ADJ
ajase-4235	110	6	economic	economic	ADJ
ajase-4235	110	7	variables	variable	NOUN
ajase-4235	110	8	,	,	PUNCT
ajase-4235	110	9	such	such	ADJ
ajase-4235	110	10	as	as	ADP
ajase-4235	110	11	real	real	ADJ
ajase-4235	110	12	gdp	gdp	NOUN
ajase-4235	110	13	(	(	PUNCT
ajase-4235	110	14	rgdp	rgdp	PROPN
ajase-4235	110	15	)	)	PUNCT
ajase-4235	110	16	,	,	PUNCT
ajase-4235	110	17	exported	export	VERB
ajase-4235	110	18	goods	good	NOUN
ajase-4235	110	19	,	,	PUNCT
ajase-4235	110	20	import	import	NOUN
ajase-4235	110	21	goods	good	NOUN
ajase-4235	110	22	,	,	PUNCT
ajase-4235	110	23	money	money	NOUN
ajase-4235	110	24	supply	supply	NOUN
ajase-4235	110	25	(	(	PUNCT
ajase-4235	110	26	m2	m2	PROPN
ajase-4235	110	27	)	)	PUNCT
ajase-4235	110	28	,	,	PUNCT
ajase-4235	110	29	and	and	CCONJ
ajase-4235	110	30	brent	brent	PROPN
ajase-4235	110	31	crude	crude	PROPN
ajase-4235	110	32	(	(	PUNCT
ajase-4235	110	33	brt	brt	PROPN
ajase-4235	110	34	)	)	PUNCT
ajase-4235	110	35	,	,	PUNCT
ajase-4235	110	36	reveal	reveal	VERB
ajase-4235	110	37	distinct	distinct	ADJ
ajase-4235	110	38	patterns	pattern	NOUN
ajase-4235	110	39	and	and	CCONJ
ajase-4235	110	40	variability	variability	NOUN
ajase-4235	110	41	,	,	PUNCT
ajase-4235	110	42	which	which	PRON
ajase-4235	110	43	inform	inform	VERB
ajase-4235	110	44	further	further	ADJ
ajase-4235	110	45	analyses	analysis	NOUN
ajase-4235	110	46	.	.	PUNCT
ajase-4235	111	1	the	the	DET
ajase-4235	111	2	comparative	comparative	ADJ
ajase-4235	111	3	performance	performance	NOUN
ajase-4235	111	4	of	of	ADP
ajase-4235	111	5	the	the	DET
ajase-4235	111	6	two	two	NUM
ajase-4235	111	7	distributions	distribution	NOUN
ajase-4235	111	8	indicates	indicate	VERB
ajase-4235	111	9	that	that	SCONJ
ajase-4235	111	10	,	,	PUNCT
ajase-4235	111	11	on	on	ADP
ajase-4235	111	12	average	average	ADJ
ajase-4235	111	13	,	,	PUNCT
ajase-4235	111	14	the	the	DET
ajase-4235	111	15	ztpp	ztpp	NOUN
ajase-4235	111	16	outperforms	outperform	VERB
ajase-4235	111	17	the	the	DET
ajase-4235	111	18	gztp	gztp	NOUN
ajase-4235	111	19	in	in	ADP
ajase-4235	111	20	terms	term	NOUN
ajase-4235	111	21	of	of	ADP
ajase-4235	111	22	model	model	NOUN
ajase-4235	111	23	fit	fit	PROPN
ajase-4235	111	24	,	,	PUNCT
ajase-4235	111	25	with	with	ADP
ajase-4235	111	26	significantly	significantly	ADV
ajase-4235	111	27	lower	low	ADJ
ajase-4235	111	28	aic	aic	PROPN
ajase-4235	111	29	,	,	PUNCT
ajase-4235	111	30	bic	bic	PROPN
ajase-4235	111	31	,	,	PUNCT
ajase-4235	111	32	and	and	CCONJ
ajase-4235	111	33	mean	mean	VERB
ajase-4235	111	34	squared	square	VERB
ajase-4235	111	35	error	error	NOUN
ajase-4235	111	36	(	(	PUNCT
ajase-4235	111	37	mse	mse	NOUN
ajase-4235	111	38	)	)	PUNCT
ajase-4235	111	39	values	value	NOUN
ajase-4235	111	40	across	across	ADP
ajase-4235	111	41	multiple	multiple	ADJ
ajase-4235	111	42	datasets	dataset	NOUN
ajase-4235	111	43	.	.	PUNCT
ajase-4235	112	1	specifically	specifically	ADV
ajase-4235	112	2	,	,	PUNCT
ajase-4235	112	3	the	the	DET
ajase-4235	112	4	ztpp	ztpp	NOUN
ajase-4235	112	5	achieved	achieve	VERB
ajase-4235	112	6	lower	low	ADJ
ajase-4235	112	7	aic	aic	PROPN
ajase-4235	112	8	and	and	CCONJ
ajase-4235	112	9	bic	bic	PROPN
ajase-4235	112	10	values	value	NOUN
ajase-4235	112	11	,	,	PUNCT
ajase-4235	112	12	such	such	ADJ
ajase-4235	112	13	as	as	ADP
ajase-4235	112	14	-1422.54	-1422.54	PROPN
ajase-4235	112	15	and	and	CCONJ
ajase-4235	112	16	-1422.55	-1422.55	PROPN
ajase-4235	112	17	,	,	PUNCT
ajase-4235	112	18	respectively	respectively	ADV
ajase-4235	112	19	,	,	PUNCT
ajase-4235	112	20	compared	compare	VERB
ajase-4235	112	21	to	to	ADP
ajase-4235	112	22	the	the	DET
ajase-4235	112	23	gztp	gztp	NOUN
ajase-4235	112	24	’s	’s	PART
ajase-4235	112	25	-766.39	-766.39	PROPN
ajase-4235	112	26	and	and	CCONJ
ajase-4235	112	27	-762.82	-762.82	PROPN
ajase-4235	112	28	,	,	PUNCT
ajase-4235	112	29	and	and	CCONJ
ajase-4235	112	30	demonstrated	demonstrate	VERB
ajase-4235	112	31	superior	superior	ADJ
ajase-4235	112	32	predictive	predictive	ADJ
ajase-4235	112	33	accuracy	accuracy	NOUN
ajase-4235	112	34	with	with	ADP
ajase-4235	112	35	an	an	DET
ajase-4235	112	36	average	average	ADJ
ajase-4235	112	37	mse	mse	NOUN
ajase-4235	112	38	of	of	ADP
ajase-4235	112	39	30,161.94	30,161.94	PROPN
ajase-4235	112	40	versus	versus	ADP
ajase-4235	112	41	31,163.2	31,163.2	NUM
ajase-4235	112	42	for	for	ADP
ajase-4235	112	43	the	the	DET
ajase-4235	112	44	gztp	gztp	NOUN
ajase-4235	112	45	.	.	PUNCT
ajase-4235	113	1	these	these	DET
ajase-4235	113	2	findings	finding	NOUN
ajase-4235	113	3	underscore	underscore	VERB
ajase-4235	113	4	the	the	DET
ajase-4235	113	5	ztpp	ztpp	NOUN
ajase-4235	113	6	distribution	distribution	NOUN
ajase-4235	113	7	’s	’s	PART
ajase-4235	113	8	superior	superior	ADJ
ajase-4235	113	9	capability	capability	NOUN
ajase-4235	113	10	in	in	ADP
ajase-4235	113	11	providing	provide	VERB
ajase-4235	113	12	reliable	reliable	ADJ
ajase-4235	113	13	model	model	NOUN
ajase-4235	113	14	fit	fit	ADJ
ajase-4235	113	15	and	and	CCONJ
ajase-4235	113	16	predictive	predictive	ADJ
ajase-4235	113	17	performance	performance	NOUN
ajase-4235	113	18	,	,	PUNCT
ajase-4235	113	19	making	make	VERB
ajase-4235	113	20	it	it	PRON
ajase-4235	113	21	a	a	DET
ajase-4235	113	22	more	more	ADV
ajase-4235	113	23	suitable	suitable	ADJ
ajase-4235	113	24	choice	choice	NOUN
ajase-4235	113	25	for	for	ADP
ajase-4235	113	26	applications	application	NOUN
ajase-4235	113	27	that	that	PRON
ajase-4235	113	28	demand	demand	VERB
ajase-4235	113	29	high	high	ADJ
ajase-4235	113	30	accuracy	accuracy	NOUN
ajase-4235	113	31	in	in	ADP
ajase-4235	113	32	economic	economic	ADJ
ajase-4235	113	33	modelling	modelling	NOUN
ajase-4235	113	34	.	.	PUNCT
ajase-4235	114	1	references	reference	NOUN
ajase-4235	114	2	abbas	abbas	PROPN
ajase-4235	114	3	,	,	PUNCT
ajase-4235	114	4	n.	n.	NOUN
ajase-4235	114	5	(	(	PUNCT
ajase-4235	114	6	2023	2023	NUM
ajase-4235	114	7	)	)	PUNCT
ajase-4235	114	8	.	.	PUNCT
ajase-4235	115	1	on	on	ADP
ajase-4235	115	2	classical	classical	ADJ
ajase-4235	115	3	and	and	CCONJ
ajase-4235	115	4	bayesian	bayesian	ADJ
ajase-4235	115	5	reliability	reliability	NOUN
ajase-4235	115	6	of	of	ADP
ajase-4235	115	7	systems	system	NOUN
ajase-4235	115	8	using	use	VERB
ajase-4235	115	9	bivariate	bivariate	ADJ
ajase-4235	115	10	generalized	generalized	ADJ
ajase-4235	115	11	geometric	geometric	ADJ
ajase-4235	115	12	distribution	distribution	NOUN
ajase-4235	115	13	.	.	PUNCT
ajase-4235	116	1	journal	journal	NOUN
ajase-4235	116	2	of	of	ADP
ajase-4235	116	3	statistical	statistical	ADJ
ajase-4235	116	4	theory	theory	NOUN
ajase-4235	116	5	and	and	CCONJ
ajase-4235	116	6	applications	application	NOUN
ajase-4235	116	7	,	,	PUNCT
ajase-4235	116	8	22(3	22(3	NUM
ajase-4235	116	9	)	)	PUNCT
ajase-4235	116	10	,	,	PUNCT
ajase-4235	116	11	151–169	151–169	NUM
ajase-4235	116	12	.	.	PUNCT
ajase-4235	117	1	agarwal	agarwal	PROPN
ajase-4235	117	2	,	,	PUNCT
ajase-4235	117	3	a.	a.	PROPN
ajase-4235	117	4	,	,	PUNCT
ajase-4235	117	5	&	&	CCONJ
ajase-4235	117	6	pandey	pandey	PROPN
ajase-4235	117	7	,	,	PUNCT
ajase-4235	117	8	h.	h.	PROPN
ajase-4235	117	9	(	(	PUNCT
ajase-4235	117	10	2024	2024	NUM
ajase-4235	117	11	)	)	PUNCT
ajase-4235	117	12	.	.	PUNCT
ajase-4235	118	1	an	an	DET
ajase-4235	118	2	inflated	inflated	ADJ
ajase-4235	118	3	modelling	modelling	NOUN
ajase-4235	118	4	of	of	ADP
ajase-4235	118	5	zero	zero	NUM
ajase-4235	118	6	truncated	truncate	VERB
ajase-4235	118	7	poisson	poisson	NOUN
ajase-4235	118	8	ailamujia	ailamujia	NOUN
ajase-4235	118	9	distribution	distribution	NOUN
ajase-4235	118	10	and	and	CCONJ
ajase-4235	118	11	its	its	PRON
ajase-4235	118	12	application	application	NOUN
ajase-4235	118	13	to	to	ADP
ajase-4235	118	14	child	child	NOUN
ajase-4235	118	15	mortality	mortality	NOUN
ajase-4235	118	16	and	and	CCONJ
ajase-4235	118	17	genetics	genetics	NOUN
ajase-4235	118	18	count	count	NOUN
ajase-4235	118	19	data	datum	NOUN
ajase-4235	118	20	.	.	PUNCT
ajase-4235	119	1	journal	journal	PROPN
ajase-4235	119	2	of	of	ADP
ajase-4235	119	3	scientific	scientific	ADJ
ajase-4235	119	4	research	research	NOUN
ajase-4235	119	5	,	,	PUNCT
ajase-4235	119	6	16(1	16(1	NUM
ajase-4235	119	7	)	)	PUNCT
ajase-4235	119	8	,	,	PUNCT
ajase-4235	119	9	89–96	89–96	NUM
ajase-4235	119	10	.	.	PUNCT
ajase-4235	120	1	akaike	akaike	ADJ
ajase-4235	120	2	,	,	PUNCT
ajase-4235	120	3	h.	h.	PROPN
ajase-4235	120	4	(	(	PUNCT
ajase-4235	120	5	1974	1974	NUM
ajase-4235	120	6	)	)	PUNCT
ajase-4235	120	7	.	.	PUNCT
ajase-4235	121	1	a	a	DET
ajase-4235	121	2	new	new	ADJ
ajase-4235	121	3	look	look	NOUN
ajase-4235	121	4	at	at	ADP
ajase-4235	121	5	the	the	DET
ajase-4235	121	6	statistical	statistical	ADJ
ajase-4235	121	7	model	model	NOUN
ajase-4235	121	8	identification	identification	NOUN
ajase-4235	121	9	.	.	PUNCT
ajase-4235	122	1	ieee	ieee	NOUN
ajase-4235	122	2	transactions	transaction	NOUN
ajase-4235	122	3	on	on	ADP
ajase-4235	122	4	automatic	automatic	ADJ
ajase-4235	122	5	control	control	NOUN
ajase-4235	122	6	,	,	PUNCT
ajase-4235	122	7	19(6	19(6	NUM
ajase-4235	122	8	)	)	PUNCT
ajase-4235	122	9	,	,	PUNCT
ajase-4235	122	10	716–723	716–723	NUM
ajase-4235	122	11	.	.	PUNCT
ajase-4235	123	1	https://doi.org/10.1109/	https://doi.org/10.1109/	PROPN
ajase-4235	123	2	tac.1974.1100705	tac.1974.1100705	NOUN
ajase-4235	123	3	akdogan	akdogan	NOUN
ajase-4235	123	4	,	,	PUNCT
ajase-4235	123	5	y.	y.	PROPN
ajase-4235	123	6	,	,	PUNCT
ajase-4235	123	7	kus	kus	PROPN
ajase-4235	123	8	,	,	PUNCT
ajase-4235	123	9	c.	c.	PROPN
ajase-4235	123	10	,	,	PUNCT
ajase-4235	123	11	bidram	bidram	PROPN
ajase-4235	123	12	,	,	PUNCT
ajase-4235	123	13	h.	h.	PROPN
ajase-4235	123	14	,	,	PUNCT
ajase-4235	123	15	&	&	CCONJ
ajase-4235	123	16	kinaci	kinaci	PROPN
ajase-4235	123	17	,	,	PUNCT
ajase-4235	123	18	i.	i.	NOUN
ajase-4235	123	19	(	(	PUNCT
ajase-4235	123	20	2019	2019	NUM
ajase-4235	123	21	)	)	PUNCT
ajase-4235	123	22	.	.	PUNCT
ajase-4235	124	1	geometric	geometric	ADJ
ajase-4235	124	2	-	-	PUNCT
ajase-4235	124	3	zero	zero	NUM
ajase-4235	124	4	truncated	truncate	VERB
ajase-4235	124	5	poisson	poisson	NOUN
ajase-4235	124	6	distribution	distribution	NOUN
ajase-4235	124	7	:	:	PUNCT
ajase-4235	124	8	properties	property	NOUN
ajase-4235	124	9	and	and	CCONJ
ajase-4235	124	10	applications	application	NOUN
ajase-4235	124	11	.	.	PUNCT
ajase-4235	125	1	gazi	gazi	PROPN
ajase-4235	125	2	university	university	PROPN
ajase-4235	125	3	journal	journal	PROPN
ajase-4235	125	4	of	of	ADP
ajase-4235	125	5	science	science	NOUN
ajase-4235	125	6	,	,	PUNCT
ajase-4235	125	7	32(4	32(4	NUM
ajase-4235	125	8	)	)	PUNCT
ajase-4235	125	9	,	,	PUNCT
ajase-4235	125	10	1339–1354	1339–1354	NUM
ajase-4235	125	11	.	.	PUNCT
ajase-4235	126	1	badr	badr	PROPN
ajase-4235	126	2	,	,	PUNCT
ajase-4235	126	3	a.	a.	NOUN
ajase-4235	126	4	m.	m.	PROPN
ajase-4235	126	5	m.	m.	PROPN
ajase-4235	126	6	,	,	PUNCT
ajase-4235	126	7	hassan	hassan	PROPN
ajase-4235	126	8	,	,	PUNCT
ajase-4235	126	9	t.	t.	PROPN
ajase-4235	126	10	,	,	PUNCT
ajase-4235	126	11	el	el	PROPN
ajase-4235	126	12	din	din	PROPN
ajase-4235	126	13	,	,	PUNCT
ajase-4235	126	14	t.	t.	PROPN
ajase-4235	126	15	s.	s.	PROPN
ajase-4235	126	16	,	,	PUNCT
ajase-4235	126	17	&	&	CCONJ
ajase-4235	126	18	ali	ali	PROPN
ajase-4235	126	19	,	,	PUNCT
ajase-4235	126	20	f.	f.	PROPN
ajase-4235	126	21	a.	a.	PROPN
ajase-4235	126	22	m.	m.	PROPN
ajase-4235	126	23	(	(	PUNCT
ajase-4235	126	24	2023	2023	NUM
ajase-4235	126	25	)	)	PUNCT
ajase-4235	126	26	.	.	PUNCT
ajase-4235	127	1	zero	zero	NUM
ajase-4235	127	2	truncated	truncate	VERB
ajase-4235	127	3	poisson	poisson	NOUN
ajase-4235	127	4	-	-	ADJ
ajase-4235	127	5	pareto	pareto	ADJ
ajase-4235	127	6	distribution	distribution	NOUN
ajase-4235	127	7	:	:	PUNCT
ajase-4235	127	8	application	application	NOUN
ajase-4235	127	9	and	and	CCONJ
ajase-4235	127	10	estimation	estimation	NOUN
ajase-4235	127	11	methods	method	NOUN
ajase-4235	127	12	.	.	PUNCT
ajase-4235	128	1	wseas	wseas	NOUN
ajase-4235	128	2	transactions	transaction	NOUN
ajase-4235	128	3	on	on	ADP
ajase-4235	128	4	mathematics	mathematic	NOUN
ajase-4235	128	5	,	,	PUNCT
ajase-4235	128	6	22	22	NUM
ajase-4235	128	7	,	,	PUNCT
ajase-4235	128	8	132–138	132–138	NUM
ajase-4235	128	9	.	.	PUNCT
ajase-4235	129	1	casella	casella	PROPN
ajase-4235	129	2	,	,	PUNCT
ajase-4235	129	3	g.	g.	PROPN
ajase-4235	129	4	,	,	PUNCT
ajase-4235	129	5	&	&	CCONJ
ajase-4235	129	6	berger	berger	PROPN
ajase-4235	129	7	,	,	PUNCT
ajase-4235	129	8	r.	r.	PROPN
ajase-4235	129	9	l.	l.	PROPN
ajase-4235	129	10	(	(	PUNCT
ajase-4235	129	11	2002	2002	NUM
ajase-4235	129	12	)	)	PUNCT
ajase-4235	129	13	.	.	PUNCT
ajase-4235	130	1	statistical	statistical	ADJ
ajase-4235	130	2	inference	inference	NOUN
ajase-4235	130	3	(	(	PUNCT
ajase-4235	130	4	2nd	2nd	ADJ
ajase-4235	130	5	ed	ed	NOUN
ajase-4235	130	6	.	.	PUNCT
ajase-4235	130	7	)	)	PUNCT
ajase-4235	130	8	.	.	PUNCT
ajase-4235	131	1	duxbury	duxbury	PROPN
ajase-4235	131	2	press	press	PROPN
ajase-4235	131	3	.	.	PUNCT
ajase-4235	132	1	ghosh	ghosh	PROPN
ajase-4235	132	2	,	,	PUNCT
ajase-4235	132	3	i.	i.	PROPN
ajase-4235	132	4	,	,	PUNCT
ajase-4235	132	5	marques	marques	PROPN
ajase-4235	132	6	,	,	PUNCT
ajase-4235	132	7	f.	f.	PROPN
ajase-4235	132	8	,	,	PUNCT
ajase-4235	132	9	&	&	CCONJ
ajase-4235	132	10	chakraborty	chakraborty	PROPN
ajase-4235	132	11	,	,	PUNCT
ajase-4235	132	12	s.	s.	PROPN
ajase-4235	132	13	(	(	PUNCT
ajase-4235	132	14	2023	2023	NUM
ajase-4235	132	15	)	)	PUNCT
ajase-4235	132	16	.	.	PUNCT
ajase-4235	133	1	a	a	DET
ajase-4235	133	2	bivariate	bivariate	ADJ
ajase-4235	133	3	geometric	geometric	ADJ
ajase-4235	133	4	distribution	distribution	NOUN
ajase-4235	133	5	via	via	ADP
ajase-4235	133	6	conditional	conditional	ADJ
ajase-4235	133	7	specification	specification	NOUN
ajase-4235	133	8	:	:	PUNCT
ajase-4235	133	9	properties	property	NOUN
ajase-4235	133	10	and	and	CCONJ
ajase-4235	133	11	applications	application	NOUN
ajase-4235	133	12	.	.	PUNCT
ajase-4235	134	1	communications	communication	NOUN
ajase-4235	134	2	in	in	ADP
ajase-4235	134	3	statistics	statistic	NOUN
ajase-4235	134	4	:	:	PUNCT
ajase-4235	134	5	simulation	simulation	NOUN
ajase-4235	134	6	and	and	CCONJ
ajase-4235	134	7	computation	computation	NOUN
ajase-4235	134	8	,	,	PUNCT
ajase-4235	134	9	52(12	52(12	NUM
ajase-4235	134	10	)	)	PUNCT
ajase-4235	134	11	,	,	PUNCT
ajase-4235	134	12	5925–5945	5925–5945	NUM
ajase-4235	134	13	.	.	PUNCT
ajase-4235	135	1	irshad	irshad	VERB
ajase-4235	135	2	,	,	PUNCT
ajase-4235	135	3	m.	m.	PROPN
ajase-4235	135	4	r.	r.	PROPN
ajase-4235	135	5	,	,	PUNCT
ajase-4235	135	6	monisha	monisha	PROPN
ajase-4235	135	7	,	,	PUNCT
ajase-4235	135	8	m.	m.	NOUN
ajase-4235	135	9	,	,	PUNCT
ajase-4235	135	10	chesneau	chesneau	PROPN
ajase-4235	135	11	,	,	PUNCT
ajase-4235	135	12	c.	c.	PROPN
ajase-4235	135	13	,	,	PUNCT
ajase-4235	135	14	maya	maya	PROPN
ajase-4235	135	15	,	,	PUNCT
ajase-4235	135	16	r.	r.	PROPN
ajase-4235	135	17	,	,	PUNCT
ajase-4235	135	18	&	&	CCONJ
ajase-4235	135	19	shibu	shibu	PROPN
ajase-4235	135	20	,	,	PUNCT
ajase-4235	135	21	d.	d.	PROPN
ajase-4235	135	22	s.	s.	PROPN
ajase-4235	135	23	(	(	PUNCT
ajase-4235	135	24	2023	2023	NUM
ajase-4235	135	25	)	)	PUNCT
ajase-4235	135	26	.	.	PUNCT
ajase-4235	136	1	a	a	DET
ajase-4235	136	2	novel	novel	ADJ
ajase-4235	136	3	flexible	flexible	ADJ
ajase-4235	136	4	class	class	NOUN
ajase-4235	136	5	of	of	ADP
ajase-4235	136	6	intervened	intervene	VERB
ajase-4235	136	7	poisson	poisson	NOUN
ajase-4235	136	8	distribution	distribution	NOUN
ajase-4235	136	9	by	by	ADP
ajase-4235	136	10	lagrangian	lagrangian	ADJ
ajase-4235	136	11	approach	approach	NOUN
ajase-4235	136	12	.	.	PUNCT
ajase-4235	137	1	stats	stat	NOUN
ajase-4235	137	2	,	,	PUNCT
ajase-4235	137	3	6(1	6(1	NUM
ajase-4235	137	4	)	)	PUNCT
ajase-4235	137	5	,	,	PUNCT
ajase-4235	137	6	150–168	150–168	NUM
ajase-4235	137	7	.	.	PUNCT
ajase-4235	138	1	ngamkham	ngamkham	PROPN
ajase-4235	138	2	,	,	PUNCT
ajase-4235	138	3	t.	t.	PROPN
ajase-4235	138	4	,	,	PUNCT
ajase-4235	138	5	&	&	CCONJ
ajase-4235	138	6	panta	panta	PROPN
ajase-4235	138	7	,	,	PUNCT
ajase-4235	138	8	c.	c.	PROPN
ajase-4235	138	9	(	(	PUNCT
ajase-4235	138	10	2023	2023	NUM
ajase-4235	138	11	)	)	PUNCT
ajase-4235	138	12	.	.	PUNCT
ajase-4235	139	1	on	on	ADP
ajase-4235	139	2	the	the	DET
ajase-4235	139	3	normal	normal	ADJ
ajase-4235	139	4	approximations	approximation	NOUN
ajase-4235	139	5	to	to	ADP
ajase-4235	139	6	the	the	DET
ajase-4235	139	7	method	method	NOUN
ajase-4235	139	8	of	of	ADP
ajase-4235	139	9	moments	moment	NOUN
ajase-4235	139	10	point	point	NOUN
ajase-4235	139	11	estimators	estimator	NOUN
ajase-4235	139	12	of	of	ADP
ajase-4235	139	13	the	the	DET
ajase-4235	139	14	parameter	parameter	NOUN
ajase-4235	139	15	and	and	CCONJ
ajase-4235	139	16	mean	mean	NOUN
ajase-4235	139	17	of	of	ADP
ajase-4235	139	18	the	the	DET
ajase-4235	139	19	zerotruncated	zerotruncated	ADJ
ajase-4235	139	20	poisson	poisson	NOUN
ajase-4235	139	21	distribution	distribution	NOUN
ajase-4235	139	22	.	.	PUNCT
ajase-4235	140	1	lobachevskii	lobachevskii	PROPN
ajase-4235	140	2	journal	journal	PROPN
ajase-4235	140	3	of	of	ADP
ajase-4235	140	4	mathematics	mathematic	NOUN
ajase-4235	140	5	,	,	PUNCT
ajase-4235	140	6	44(11	44(11	NUM
ajase-4235	140	7	)	)	PUNCT
ajase-4235	140	8	,	,	PUNCT
ajase-4235	140	9	4790–4797	4790–4797	NOUN
ajase-4235	140	10	.	.	PUNCT
ajase-4235	141	1	niyomdecha	niyomdecha	PROPN
ajase-4235	141	2	,	,	PUNCT
ajase-4235	141	3	a.	a.	PROPN
ajase-4235	141	4	,	,	PUNCT
ajase-4235	141	5	&	&	CCONJ
ajase-4235	141	6	srisuradetchai	srisuradetchai	NOUN
ajase-4235	141	7	,	,	PUNCT
ajase-4235	141	8	p.	p.	NOUN
ajase-4235	141	9	(	(	PUNCT
ajase-4235	141	10	2023	2023	NUM
ajase-4235	141	11	)	)	PUNCT
ajase-4235	141	12	.	.	PUNCT
ajase-4235	142	1	complementary	complementary	ADJ
ajase-4235	142	2	gamma	gamma	NOUN
ajase-4235	142	3	zero	zero	NUM
ajase-4235	142	4	-	-	PUNCT
ajase-4235	142	5	truncated	truncate	VERB
ajase-4235	142	6	poisson	poisson	NOUN
ajase-4235	142	7	distribution	distribution	NOUN
ajase-4235	142	8	and	and	CCONJ
ajase-4235	142	9	its	its	PRON
ajase-4235	142	10	application	application	NOUN
ajase-4235	142	11	.	.	PUNCT
ajase-4235	143	1	mathematics	mathematic	NOUN
ajase-4235	143	2	,	,	PUNCT
ajase-4235	143	3	11(11	11(11	NUM
ajase-4235	143	4	)	)	PUNCT
ajase-4235	143	5	,	,	PUNCT
ajase-4235	143	6	2584	2584	NUM
ajase-4235	143	7	.	.	PUNCT
ajase-4235	144	1	niyomdecha	niyomdecha	PROPN
ajase-4235	144	2	,	,	PUNCT
ajase-4235	144	3	a.	a.	NOUN
ajase-4235	144	4	,	,	PUNCT
ajase-4235	144	5	srisuradetchai	srisuradetchai	ADJ
ajase-4235	144	6	,	,	PUNCT
ajase-4235	144	7	p.	p.	NOUN
ajase-4235	144	8	,	,	PUNCT
ajase-4235	144	9	&	&	CCONJ
ajase-4235	144	10	tulyanitikul	tulyanitikul	PROPN
ajase-4235	144	11	,	,	PUNCT
ajase-4235	144	12	b.	b.	PROPN
ajase-4235	144	13	(	(	PUNCT
ajase-4235	144	14	2023	2023	NUM
ajase-4235	144	15	)	)	PUNCT
ajase-4235	144	16	.	.	PUNCT
ajase-4235	145	1	gamma	gamma	PROPN
ajase-4235	145	2	zero	zero	NUM
ajase-4235	145	3	-	-	PUNCT
ajase-4235	145	4	truncated	truncate	VERB
ajase-4235	145	5	poisson	poisson	NOUN
ajase-4235	145	6	distribution	distribution	NOUN
ajase-4235	145	7	with	with	ADP
ajase-4235	145	8	the	the	DET
ajase-4235	145	9	minimum	minimum	ADJ
ajase-4235	145	10	compounded	compound	VERB
ajase-4235	145	11	function	function	NOUN
ajase-4235	145	12	.	.	PUNCT
ajase-4235	146	1	thailand	thailand	PROPN
ajase-4235	146	2	statistician	statistician	PROPN
ajase-4235	146	3	,	,	PUNCT
ajase-4235	146	4	21(4	21(4	NUM
ajase-4235	146	5	)	)	PUNCT
ajase-4235	146	6	,	,	PUNCT
ajase-4235	146	7	863–886	863–886	NUM
ajase-4235	146	8	.	.	PUNCT
ajase-4235	147	1	panichkitkosolkul	panichkitkosolkul	PROPN
ajase-4235	147	2	,	,	PUNCT
ajase-4235	147	3	w.	w.	NOUN
ajase-4235	147	4	(	(	PUNCT
ajase-4235	147	5	2023	2023	NUM
ajase-4235	147	6	)	)	PUNCT
ajase-4235	147	7	.	.	PUNCT
ajase-4235	148	1	bootstrap	bootstrap	NOUN
ajase-4235	148	2	confidence	confidence	NOUN
ajase-4235	148	3	pa	pa	PROPN
ajase-4235	148	4	ge	ge	PROPN
ajase-4235	148	5	69	69	NUM
ajase-4235	149	1	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-4235	149	2	am	be	AUX
ajase-4235	149	3	.	.	PUNCT
ajase-4235	150	1	j.	j.	PROPN
ajase-4235	150	2	appl	appl	PROPN
ajase-4235	150	3	.	.	PROPN
ajase-4235	151	1	stat	stat	PROPN
ajase-4235	151	2	.	.	PUNCT
ajase-4235	152	1	econ	econ	PROPN
ajase-4235	152	2	.	.	PUNCT
ajase-4235	153	1	4(1	4(1	X
ajase-4235	153	2	)	)	PUNCT
ajase-4235	154	1	65	65	NUM
ajase-4235	154	2	-	-	SYM
ajase-4235	154	3	69	69	NUM
ajase-4235	154	4	,	,	PUNCT
ajase-4235	154	5	2025	2025	NUM
ajase-4235	154	6	intervals	interval	NOUN
ajase-4235	154	7	for	for	ADP
ajase-4235	154	8	the	the	DET
ajase-4235	154	9	index	index	NOUN
ajase-4235	154	10	of	of	ADP
ajase-4235	154	11	dispersion	dispersion	NOUN
ajase-4235	154	12	of	of	ADP
ajase-4235	154	13	zero	zero	NUM
ajase-4235	154	14	-	-	PUNCT
ajase-4235	154	15	truncated	truncate	VERB
ajase-4235	154	16	poisson	poisson	NOUN
ajase-4235	154	17	-	-	PUNCT
ajase-4235	154	18	ishita	ishita	ADJ
ajase-4235	154	19	distribution	distribution	NOUN
ajase-4235	154	20	.	.	PUNCT
ajase-4235	155	1	science	science	NOUN
ajase-4235	155	2	and	and	CCONJ
ajase-4235	155	3	technology	technology	PROPN
ajase-4235	155	4	asia	asia	PROPN
ajase-4235	155	5	,	,	PUNCT
ajase-4235	155	6	28(2	28(2	NUM
ajase-4235	155	7	)	)	PUNCT
ajase-4235	155	8	,	,	PUNCT
ajase-4235	155	9	9–17	9–17	PROPN
ajase-4235	155	10	.	.	PUNCT
ajase-4235	156	1	panichkitkosolkul	panichkitkosolkul	PROPN
ajase-4235	156	2	,	,	PUNCT
ajase-4235	156	3	w.	w.	PROPN
ajase-4235	156	4	(	(	PUNCT
ajase-4235	156	5	2024	2024	NUM
ajase-4235	156	6	)	)	PUNCT
ajase-4235	156	7	.	.	PUNCT
ajase-4235	157	1	non	non	ADJ
ajase-4235	157	2	-	-	ADJ
ajase-4235	157	3	parametric	parametric	ADJ
ajase-4235	157	4	bootstrap	bootstrap	NOUN
ajase-4235	157	5	confidence	confidence	NOUN
ajase-4235	157	6	intervals	interval	NOUN
ajase-4235	157	7	for	for	ADP
ajase-4235	157	8	index	index	NOUN
ajase-4235	157	9	of	of	ADP
ajase-4235	157	10	dispersion	dispersion	NOUN
ajase-4235	157	11	of	of	ADP
ajase-4235	157	12	zero	zero	NUM
ajase-4235	157	13	-	-	PUNCT
ajase-4235	157	14	truncated	truncate	VERB
ajase-4235	157	15	poisson	poisson	NOUN
ajase-4235	157	16	-	-	PUNCT
ajase-4235	157	17	lindley	lindley	NOUN
ajase-4235	157	18	distribution	distribution	NOUN
ajase-4235	157	19	.	.	PUNCT
ajase-4235	158	1	maejo	maejo	PROPN
ajase-4235	158	2	international	international	PROPN
ajase-4235	158	3	journal	journal	PROPN
ajase-4235	158	4	of	of	ADP
ajase-4235	158	5	science	science	NOUN
ajase-4235	158	6	and	and	CCONJ
ajase-4235	158	7	technology	technology	NOUN
ajase-4235	158	8	,	,	PUNCT
ajase-4235	158	9	18(1	18(1	NUM
ajase-4235	158	10	)	)	PUNCT
ajase-4235	158	11	,	,	PUNCT
ajase-4235	158	12	1–12	1–12	NOUN
ajase-4235	158	13	.	.	PUNCT
ajase-4235	159	1	r	r	NOUN
ajase-4235	159	2	core	core	NOUN
ajase-4235	159	3	team	team	NOUN
ajase-4235	159	4	.	.	PUNCT
ajase-4235	160	1	(	(	PUNCT
ajase-4235	160	2	2023	2023	NUM
ajase-4235	160	3	)	)	PUNCT
ajase-4235	160	4	.	.	PUNCT
ajase-4235	161	1	r	r	X
ajase-4235	161	2	:	:	PUNCT
ajase-4235	161	3	a	a	DET
ajase-4235	161	4	language	language	NOUN
ajase-4235	161	5	and	and	CCONJ
ajase-4235	161	6	environment	environment	NOUN
ajase-4235	161	7	for	for	ADP
ajase-4235	161	8	statistical	statistical	ADJ
ajase-4235	161	9	computing	computing	NOUN
ajase-4235	161	10	.	.	PUNCT
ajase-4235	162	1	r	r	NOUN
ajase-4235	162	2	foundation	foundation	NOUN
ajase-4235	162	3	for	for	ADP
ajase-4235	162	4	statistical	statistical	ADJ
ajase-4235	162	5	computing	computing	NOUN
ajase-4235	162	6	.	.	PUNCT
ajase-4235	163	1	https://www.r-project.org/	https://www.r-project.org/	ADJ
ajase-4235	163	2	schwarz	schwarz	PROPN
ajase-4235	163	3	,	,	PUNCT
ajase-4235	163	4	g.	g.	PROPN
ajase-4235	163	5	(	(	PUNCT
ajase-4235	163	6	1978	1978	NUM
ajase-4235	163	7	)	)	PUNCT
ajase-4235	163	8	.	.	PUNCT
ajase-4235	164	1	estimating	estimate	VERB
ajase-4235	164	2	the	the	DET
ajase-4235	164	3	dimension	dimension	NOUN
ajase-4235	164	4	of	of	ADP
ajase-4235	164	5	a	a	DET
ajase-4235	164	6	model	model	NOUN
ajase-4235	164	7	.	.	PUNCT
ajase-4235	165	1	annals	annal	NOUN
ajase-4235	165	2	of	of	ADP
ajase-4235	165	3	statistics	statistic	NOUN
ajase-4235	165	4	,	,	PUNCT
ajase-4235	165	5	6(2	6(2	NUM
ajase-4235	165	6	)	)	PUNCT
ajase-4235	165	7	,	,	PUNCT
ajase-4235	165	8	461–464	461–464	NUM
ajase-4235	165	9	.	.	PUNCT
ajase-4235	166	1	shang	shang	PROPN
ajase-4235	166	2	,	,	PUNCT
ajase-4235	166	3	k.	k.	PROPN
ajase-4235	166	4	,	,	PUNCT
ajase-4235	166	5	wu	wu	PROPN
ajase-4235	166	6	,	,	PUNCT
ajase-4235	166	7	t.	t.	PROPN
ajase-4235	166	8	,	,	PUNCT
ajase-4235	166	9	jin	jin	PROPN
ajase-4235	166	10	,	,	PUNCT
ajase-4235	166	11	x.	x.	PROPN
ajase-4235	166	12	,	,	PUNCT
ajase-4235	166	13	zhang	zhang	PROPN
ajase-4235	166	14	,	,	PUNCT
ajase-4235	166	15	z.	z.	PROPN
ajase-4235	166	16	,	,	PUNCT
ajase-4235	166	17	li	li	PROPN
ajase-4235	166	18	,	,	PUNCT
ajase-4235	166	19	c.	c.	PROPN
ajase-4235	166	20	,	,	PUNCT
ajase-4235	166	21	liu	liu	PROPN
ajase-4235	166	22	,	,	PUNCT
ajase-4235	166	23	r.	r.	PROPN
ajase-4235	166	24	,	,	PUNCT
ajase-4235	166	25	wang	wang	PROPN
ajase-4235	166	26	,	,	PUNCT
ajase-4235	166	27	m.	m.	NOUN
ajase-4235	166	28	,	,	PUNCT
ajase-4235	166	29	dai	dai	PROPN
ajase-4235	166	30	,	,	PUNCT
ajase-4235	166	31	w.	w.	PROPN
ajase-4235	166	32	,	,	PUNCT
ajase-4235	166	33	&	&	CCONJ
ajase-4235	166	34	liu	liu	PROPN
ajase-4235	166	35	,	,	PUNCT
ajase-4235	166	36	j.	j.	PROPN
ajase-4235	166	37	(	(	PUNCT
ajase-4235	166	38	2023	2023	NUM
ajase-4235	166	39	)	)	PUNCT
ajase-4235	166	40	.	.	PUNCT
ajase-4235	167	1	coaxiality	coaxiality	NOUN
ajase-4235	167	2	prediction	prediction	NOUN
ajase-4235	167	3	for	for	ADP
ajase-4235	167	4	aeroengines	aeroengine	NOUN
ajase-4235	167	5	precision	precision	NOUN
ajase-4235	167	6	assembly	assembly	NOUN
ajase-4235	167	7	based	base	VERB
ajase-4235	167	8	on	on	ADP
ajase-4235	167	9	geometric	geometric	ADJ
ajase-4235	167	10	distribution	distribution	NOUN
ajase-4235	167	11	error	error	NOUN
ajase-4235	167	12	model	model	NOUN
ajase-4235	167	13	and	and	CCONJ
ajase-4235	167	14	point	point	NOUN
ajase-4235	167	15	cloud	cloud	ADJ
ajase-4235	167	16	deep	deep	ADJ
ajase-4235	167	17	learning	learning	NOUN
ajase-4235	167	18	.	.	PUNCT
ajase-4235	168	1	journal	journal	NOUN
ajase-4235	168	2	of	of	ADP
ajase-4235	168	3	manufacturing	manufacturing	NOUN
ajase-4235	168	4	systems	system	NOUN
ajase-4235	168	5	,	,	PUNCT
ajase-4235	168	6	71	71	NUM
ajase-4235	168	7	,	,	PUNCT
ajase-4235	168	8	681–694	681–694	NUM
ajase-4235	168	9	.	.	PUNCT
ajase-4235	169	1	shukla	shukla	NOUN
ajase-4235	169	2	,	,	PUNCT
ajase-4235	169	3	k.	k.	PROPN
ajase-4235	169	4	k.	k.	PROPN
ajase-4235	169	5	,	,	PUNCT
ajase-4235	169	6	shanker	shanker	PROPN
ajase-4235	169	7	,	,	PUNCT
ajase-4235	169	8	r.	r.	PROPN
ajase-4235	169	9	,	,	PUNCT
ajase-4235	169	10	&	&	CCONJ
ajase-4235	169	11	tiwari	tiwari	PROPN
ajase-4235	169	12	,	,	PUNCT
ajase-4235	169	13	m.	m.	PROPN
ajase-4235	169	14	k.	k.	PROPN
ajase-4235	169	15	(	(	PUNCT
ajase-4235	169	16	2020	2020	NUM
ajase-4235	169	17	)	)	PUNCT
ajase-4235	169	18	.	.	PUNCT
ajase-4235	170	1	zero	zero	NUM
ajase-4235	170	2	-	-	PUNCT
ajase-4235	170	3	truncated	truncate	VERB
ajase-4235	170	4	poisson	poisson	NOUN
ajase-4235	170	5	-	-	PUNCT
ajase-4235	170	6	ishita	ishita	ADJ
ajase-4235	170	7	distribution	distribution	NOUN
ajase-4235	170	8	and	and	CCONJ
ajase-4235	170	9	its	its	PRON
ajase-4235	170	10	applications	application	NOUN
ajase-4235	170	11	.	.	PUNCT
ajase-4235	171	1	journal	journal	NOUN
ajase-4235	171	2	of	of	ADP
ajase-4235	171	3	scientific	scientific	ADJ
ajase-4235	171	4	research	research	NOUN
ajase-4235	171	5	,	,	PUNCT
ajase-4235	171	6	64(2	64(2	NUM
ajase-4235	171	7	)	)	PUNCT
ajase-4235	171	8	,	,	PUNCT
ajase-4235	171	9	287	287	NUM
ajase-4235	171	10	–	–	PUNCT
ajase-4235	171	11	294	294	NUM
ajase-4235	171	12	.	.	PUNCT