id	sid	tid	token	lemma	pos
cana-3300	1	1	communications	communication	NOUN
cana-3300	1	2	on	on	ADP
cana-3300	1	3	applied	apply	VERB
cana-3300	1	4	nonlinear	nonlinear	ADJ
cana-3300	1	5	analysis	analysis	NOUN
cana-3300	1	6	issn	issn	NOUN
cana-3300	1	7	:	:	PUNCT
cana-3300	1	8	1074	1074	NUM
cana-3300	1	9	-	-	PUNCT
cana-3300	1	10	133x	133x	NUM
cana-3300	1	11	vol	vol	NOUN
cana-3300	1	12	32	32	NUM
cana-3300	1	13	no	no	NOUN
cana-3300	1	14	.	.	PUNCT
cana-3300	2	1	6s	6s	NUM
cana-3300	2	2	(	(	PUNCT
cana-3300	2	3	2025	2025	NUM
cana-3300	2	4	)	)	PUNCT
cana-3300	2	5	340	340	NUM
cana-3300	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3300	2	7	spatial	spatial	ADJ
cana-3300	2	8	moving	move	VERB
cana-3300	2	9	average	average	ADJ
cana-3300	2	10	polynomial	polynomial	ADJ
cana-3300	2	11	model	model	NOUN
cana-3300	2	12	on	on	ADP
cana-3300	2	13	irregular	irregular	ADJ
cana-3300	2	14	lattice	lattice	NOUN
cana-3300	2	15	and	and	CCONJ
cana-3300	2	16	its	its	PRON
cana-3300	2	17	full	full	ADJ
cana-3300	2	18	-	-	PUNCT
cana-3300	2	19	likelihood	likelihood	NOUN
cana-3300	2	20	based	base	VERB
cana-3300	2	21	implementation	implementation	NOUN
cana-3300	2	22	lidia	lidia	PROPN
cana-3300	2	23	khonglam1	khonglam1	PROPN
cana-3300	2	24	sanjeeva	sanjeeva	PROPN
cana-3300	2	25	kumar	kumar	PROPN
cana-3300	2	26	jha2	jha2	PROPN
cana-3300	2	27	1department	1department	NUM
cana-3300	2	28	of	of	ADP
cana-3300	2	29	statistics	statistic	NOUN
cana-3300	2	30	,	,	PUNCT
cana-3300	2	31	nehu	nehu	PROPN
cana-3300	2	32	,	,	PUNCT
cana-3300	2	33	shillong793022	shillong793022	PROPN
cana-3300	2	34	,	,	PUNCT
cana-3300	2	35	india	india	PROPN
cana-3300	2	36	.	.	PUNCT
cana-3300	2	37	email	email	NOUN
cana-3300	2	38	:	:	PUNCT
cana-3300	2	39	lidiaklam123@gmail.com	lidiaklam123@gmail.com	PROPN
cana-3300	3	1	2department	2department	NUM
cana-3300	3	2	of	of	ADP
cana-3300	3	3	statistics	statistic	NOUN
cana-3300	3	4	,	,	PUNCT
cana-3300	3	5	nehu	nehu	PROPN
cana-3300	3	6	,	,	PUNCT
cana-3300	3	7	shillong793022	shillong793022	PROPN
cana-3300	3	8	,	,	PUNCT
cana-3300	3	9	india	india	PROPN
cana-3300	3	10	.	.	PUNCT
cana-3300	3	11	email	email	NOUN
cana-3300	3	12	:	:	PUNCT
cana-3300	3	13	skjha@nehu.ac.in	skjha@nehu.ac.in	NOUN
cana-3300	3	14	article	article	NOUN
cana-3300	3	15	history	history	NOUN
cana-3300	3	16	:	:	PUNCT
cana-3300	3	17	received	receive	VERB
cana-3300	3	18	:	:	PUNCT
cana-3300	3	19	20	20	NUM
cana-3300	3	20	-	-	SYM
cana-3300	3	21	10	10	NUM
cana-3300	3	22	-	-	PUNCT
cana-3300	3	23	2024	2024	NUM
cana-3300	3	24	revised	revise	VERB
cana-3300	3	25	:	:	PUNCT
cana-3300	3	26	05	05	NUM
cana-3300	3	27	-	-	SYM
cana-3300	3	28	12	12	NUM
cana-3300	3	29	-	-	PUNCT
cana-3300	3	30	2024	2024	NUM
cana-3300	3	31	accepted	accept	VERB
cana-3300	3	32	:	:	PUNCT
cana-3300	3	33	12	12	NUM
cana-3300	3	34	-	-	SYM
cana-3300	3	35	12	12	NUM
cana-3300	3	36	-	-	PUNCT
cana-3300	3	37	2024	2024	NUM
cana-3300	3	38	abstract	abstract	NOUN
cana-3300	3	39	:	:	PUNCT
cana-3300	3	40	the	the	DET
cana-3300	3	41	simultaneous	simultaneous	ADJ
cana-3300	3	42	incorporation	incorporation	NOUN
cana-3300	3	43	of	of	ADP
cana-3300	3	44	a	a	DET
cana-3300	3	45	contiguity	contiguity	NOUN
cana-3300	3	46	-	-	PUNCT
cana-3300	3	47	based	base	VERB
cana-3300	3	48	neighbourhood	neighbourhood	NOUN
cana-3300	3	49	matrix	matrix	NOUN
cana-3300	3	50	of	of	ADP
cana-3300	3	51	first	first	ADJ
cana-3300	3	52	and	and	CCONJ
cana-3300	3	53	second	second	ADJ
cana-3300	3	54	order	order	NOUN
cana-3300	3	55	neighbors	neighbor	NOUN
cana-3300	3	56	in	in	ADP
cana-3300	3	57	the	the	DET
cana-3300	3	58	spatial	spatial	ADJ
cana-3300	3	59	moving	move	VERB
cana-3300	3	60	average	average	ADJ
cana-3300	3	61	model	model	NOUN
cana-3300	3	62	on	on	ADP
cana-3300	3	63	an	an	DET
cana-3300	3	64	irregular	irregular	ADJ
cana-3300	3	65	lattice	lattice	NOUN
cana-3300	3	66	can	can	AUX
cana-3300	3	67	be	be	AUX
cana-3300	3	68	specified	specify	VERB
cana-3300	3	69	in	in	ADP
cana-3300	3	70	two	two	NUM
cana-3300	3	71	different	different	ADJ
cana-3300	3	72	waysas	waysa	NOUN
cana-3300	3	73	a	a	DET
cana-3300	3	74	quadratic	quadratic	ADJ
cana-3300	3	75	polynomial	polynomial	NOUN
cana-3300	3	76	or	or	CCONJ
cana-3300	3	77	as	as	ADP
cana-3300	3	78	a	a	DET
cana-3300	3	79	product	product	NOUN
cana-3300	3	80	of	of	ADP
cana-3300	3	81	two	two	NUM
cana-3300	3	82	linear	linear	ADJ
cana-3300	3	83	polynomials	polynomial	NOUN
cana-3300	3	84	.	.	PUNCT
cana-3300	4	1	the	the	DET
cana-3300	4	2	present	present	ADJ
cana-3300	4	3	article	article	NOUN
cana-3300	4	4	concerns	concern	VERB
cana-3300	4	5	with	with	ADP
cana-3300	4	6	the	the	DET
cana-3300	4	7	second	second	ADJ
cana-3300	4	8	order	order	NOUN
cana-3300	4	9	spatial	spatial	ADJ
cana-3300	4	10	moving	move	VERB
cana-3300	4	11	average	average	ADJ
cana-3300	4	12	polynomial	polynomial	ADJ
cana-3300	4	13	model	model	NOUN
cana-3300	4	14	of	of	ADP
cana-3300	4	15	the	the	DET
cana-3300	4	16	latter	latter	ADJ
cana-3300	4	17	form	form	NOUN
cana-3300	4	18	.	.	PUNCT
cana-3300	5	1	expression	expression	NOUN
cana-3300	5	2	for	for	ADP
cana-3300	5	3	the	the	DET
cana-3300	5	4	joint	joint	ADJ
cana-3300	5	5	probability	probability	NOUN
cana-3300	5	6	distribution	distribution	NOUN
cana-3300	5	7	of	of	ADP
cana-3300	5	8	the	the	DET
cana-3300	5	9	response	response	NOUN
cana-3300	5	10	is	be	AUX
cana-3300	5	11	derived	derive	VERB
cana-3300	5	12	together	together	ADV
cana-3300	5	13	with	with	ADP
cana-3300	5	14	expressions	expression	NOUN
cana-3300	5	15	for	for	ADP
cana-3300	5	16	the	the	DET
cana-3300	5	17	first	first	ADJ
cana-3300	5	18	and	and	CCONJ
cana-3300	5	19	second	second	ADJ
cana-3300	5	20	order	order	NOUN
cana-3300	5	21	moments	moment	NOUN
cana-3300	5	22	of	of	ADP
cana-3300	5	23	the	the	DET
cana-3300	5	24	model	model	NOUN
cana-3300	5	25	using	use	VERB
cana-3300	5	26	characteristic	characteristic	ADJ
cana-3300	5	27	function	function	NOUN
cana-3300	5	28	.	.	PUNCT
cana-3300	6	1	model	model	NOUN
cana-3300	6	2	parameters	parameter	NOUN
cana-3300	6	3	are	be	AUX
cana-3300	6	4	estimated	estimate	VERB
cana-3300	6	5	using	use	VERB
cana-3300	6	6	method	method	NOUN
cana-3300	6	7	of	of	ADP
cana-3300	6	8	maximum	maximum	ADJ
cana-3300	6	9	likelihood	likelihood	NOUN
cana-3300	6	10	and	and	CCONJ
cana-3300	6	11	expression	expression	NOUN
cana-3300	6	12	for	for	ADP
cana-3300	6	13	their	their	PRON
cana-3300	6	14	standard	standard	ADJ
cana-3300	6	15	errors	error	NOUN
cana-3300	6	16	are	be	AUX
cana-3300	6	17	obtained	obtain	VERB
cana-3300	6	18	.	.	PUNCT
cana-3300	7	1	in	in	ADP
cana-3300	7	2	the	the	DET
cana-3300	7	3	absence	absence	NOUN
cana-3300	7	4	of	of	ADP
cana-3300	7	5	an	an	DET
cana-3300	7	6	analytical	analytical	ADJ
cana-3300	7	7	solution	solution	NOUN
cana-3300	7	8	of	of	ADP
cana-3300	7	9	the	the	DET
cana-3300	7	10	full	full	ADJ
cana-3300	7	11	likelihood	likelihood	NOUN
cana-3300	7	12	function	function	NOUN
cana-3300	7	13	,	,	PUNCT
cana-3300	7	14	optimization	optimization	NOUN
cana-3300	7	15	of	of	ADP
cana-3300	7	16	the	the	DET
cana-3300	7	17	full	full	ADJ
cana-3300	7	18	likelihood	likelihood	NOUN
cana-3300	7	19	function	function	NOUN
cana-3300	7	20	using	use	VERB
cana-3300	7	21	differential	differential	ADJ
cana-3300	7	22	evolution	evolution	NOUN
cana-3300	7	23	technique	technique	NOUN
cana-3300	7	24	has	have	AUX
cana-3300	7	25	been	be	AUX
cana-3300	7	26	performed	perform	VERB
cana-3300	7	27	.	.	PUNCT
cana-3300	8	1	confidence	confidence	NOUN
cana-3300	8	2	interval	interval	NOUN
cana-3300	8	3	for	for	ADP
cana-3300	8	4	drawing	draw	VERB
cana-3300	8	5	inference	inference	NOUN
cana-3300	8	6	has	have	AUX
cana-3300	8	7	been	be	AUX
cana-3300	8	8	constructed	construct	VERB
cana-3300	8	9	based	base	VERB
cana-3300	8	10	on	on	ADP
cana-3300	8	11	the	the	DET
cana-3300	8	12	derived	derive	VERB
cana-3300	8	13	standard	standard	ADJ
cana-3300	8	14	error	error	NOUN
cana-3300	8	15	expression	expression	NOUN
cana-3300	8	16	and	and	CCONJ
cana-3300	8	17	bootstrapping	bootstrapping	NOUN
cana-3300	8	18	method	method	NOUN
cana-3300	8	19	.	.	PUNCT
cana-3300	9	1	using	use	VERB
cana-3300	9	2	likelihood	likelihood	NOUN
cana-3300	9	3	ratio	ratio	NOUN
cana-3300	9	4	test	test	NOUN
cana-3300	9	5	statistic	statistic	NOUN
cana-3300	9	6	and	and	CCONJ
cana-3300	9	7	bootstrap	bootstrap	NOUN
cana-3300	9	8	results	result	NOUN
cana-3300	9	9	,	,	PUNCT
cana-3300	9	10	simultaneous	simultaneous	ADJ
cana-3300	9	11	confidence	confidence	NOUN
cana-3300	9	12	regions	region	NOUN
cana-3300	9	13	for	for	ADP
cana-3300	9	14	the	the	DET
cana-3300	9	15	two	two	NUM
cana-3300	9	16	spatial	spatial	ADJ
cana-3300	9	17	dependence	dependence	NOUN
cana-3300	9	18	parameters	parameter	NOUN
cana-3300	9	19	are	be	AUX
cana-3300	9	20	also	also	ADV
cana-3300	9	21	constructed	construct	VERB
cana-3300	9	22	.	.	PUNCT
cana-3300	10	1	implementation	implementation	NOUN
cana-3300	10	2	of	of	ADP
cana-3300	10	3	the	the	DET
cana-3300	10	4	model	model	NOUN
cana-3300	10	5	has	have	AUX
cana-3300	10	6	been	be	AUX
cana-3300	10	7	executed	execute	VERB
cana-3300	10	8	on	on	ADP
cana-3300	10	9	simulated	simulated	ADJ
cana-3300	10	10	data	datum	NOUN
cana-3300	10	11	,	,	PUNCT
cana-3300	10	12	and	and	CCONJ
cana-3300	10	13	relevant	relevant	ADJ
cana-3300	10	14	comparisons	comparison	NOUN
cana-3300	10	15	made	make	VERB
cana-3300	10	16	with	with	ADP
cana-3300	10	17	linear	linear	ADJ
cana-3300	10	18	models	model	NOUN
cana-3300	10	19	and	and	CCONJ
cana-3300	10	20	first	first	ADJ
cana-3300	10	21	order	order	NOUN
cana-3300	10	22	spatial	spatial	ADJ
cana-3300	10	23	moving	move	VERB
cana-3300	10	24	average	average	ADJ
cana-3300	10	25	model	model	NOUN
cana-3300	10	26	.	.	PUNCT
cana-3300	11	1	the	the	DET
cana-3300	11	2	advantage	advantage	NOUN
cana-3300	11	3	of	of	ADP
cana-3300	11	4	using	use	VERB
cana-3300	11	5	the	the	DET
cana-3300	11	6	proposed	propose	VERB
cana-3300	11	7	model	model	NOUN
cana-3300	11	8	lies	lie	VERB
cana-3300	11	9	in	in	ADP
cana-3300	11	10	its	its	PRON
cana-3300	11	11	ability	ability	NOUN
cana-3300	11	12	to	to	PART
cana-3300	11	13	provide	provide	VERB
cana-3300	11	14	statistically	statistically	ADV
cana-3300	11	15	valid	valid	ADJ
cana-3300	11	16	inference	inference	NOUN
cana-3300	11	17	,	,	PUNCT
cana-3300	11	18	as	as	SCONJ
cana-3300	11	19	it	it	PRON
cana-3300	11	20	affects	affect	VERB
cana-3300	11	21	producing	produce	VERB
cana-3300	11	22	spatial	spatial	ADJ
cana-3300	11	23	dependence	dependence	NOUN
cana-3300	11	24	of	of	ADP
cana-3300	11	25	the	the	DET
cana-3300	11	26	first	first	ADJ
cana-3300	11	27	and	and	CCONJ
cana-3300	11	28	the	the	DET
cana-3300	11	29	second	second	ADJ
cana-3300	11	30	lag	lag	NOUN
cana-3300	11	31	orders	order	NOUN
cana-3300	11	32	in	in	ADP
cana-3300	11	33	the	the	DET
cana-3300	11	34	residuals	residual	NOUN
cana-3300	11	35	,	,	PUNCT
cana-3300	11	36	insignificant	insignificant	ADJ
cana-3300	11	37	.	.	PUNCT
cana-3300	12	1	keywords	keyword	NOUN
cana-3300	12	2	:	:	PUNCT
cana-3300	12	3	spatial	spatial	ADJ
cana-3300	12	4	moving	move	VERB
cana-3300	12	5	average	average	ADJ
cana-3300	12	6	;	;	PUNCT
cana-3300	12	7	spatial	spatial	ADJ
cana-3300	12	8	lattice	lattice	NOUN
cana-3300	12	9	;	;	PUNCT
cana-3300	12	10	contiguity	contiguity	NOUN
cana-3300	12	11	neigbourhood	neigbourhood	NOUN
cana-3300	12	12	;	;	PUNCT
cana-3300	12	13	maximum	maximum	ADJ
cana-3300	12	14	likelihood	likelihood	NOUN
cana-3300	12	15	;	;	PUNCT
cana-3300	12	16	differential	differential	ADJ
cana-3300	12	17	evolution	evolution	NOUN
cana-3300	12	18	;	;	PUNCT
cana-3300	12	19	simultaneous	simultaneous	ADJ
cana-3300	12	20	confidence	confidence	NOUN
cana-3300	12	21	region	region	NOUN
cana-3300	12	22	;	;	PUNCT
cana-3300	12	23	bootstrap	bootstrap	NOUN
cana-3300	12	24	1	1	NUM
cana-3300	12	25	.	.	PUNCT
cana-3300	12	26	introduction	introduction	NOUN
cana-3300	12	27	economic	economic	ADJ
cana-3300	12	28	,	,	PUNCT
cana-3300	12	29	biological	biological	ADJ
cana-3300	12	30	,	,	PUNCT
cana-3300	12	31	health	health	NOUN
cana-3300	12	32	and	and	CCONJ
cana-3300	12	33	ecological	ecological	ADJ
cana-3300	12	34	data	datum	NOUN
cana-3300	12	35	on	on	ADP
cana-3300	12	36	space	space	NOUN
cana-3300	12	37	commonly	commonly	ADV
cana-3300	12	38	occur	occur	VERB
cana-3300	12	39	as	as	SCONJ
cana-3300	12	40	aggregated	aggregate	VERB
cana-3300	12	41	data	datum	NOUN
cana-3300	12	42	over	over	ADP
cana-3300	12	43	geographically	geographically	ADV
cana-3300	12	44	or	or	CCONJ
cana-3300	12	45	administratively	administratively	ADV
cana-3300	12	46	defined	define	VERB
cana-3300	12	47	regions	region	NOUN
cana-3300	12	48	,	,	PUNCT
cana-3300	12	49	forming	form	VERB
cana-3300	12	50	regular	regular	ADJ
cana-3300	12	51	or	or	CCONJ
cana-3300	12	52	irregular	irregular	ADJ
cana-3300	12	53	spatial	spatial	ADJ
cana-3300	12	54	lattices	lattice	NOUN
cana-3300	12	55	.	.	PUNCT
cana-3300	13	1	spatial	spatial	ADJ
cana-3300	13	2	regression	regression	NOUN
cana-3300	13	3	models	model	NOUN
cana-3300	13	4	,	,	PUNCT
cana-3300	13	5	model	model	NOUN
cana-3300	13	6	for	for	ADP
cana-3300	13	7	regression	regression	NOUN
cana-3300	13	8	analysis	analysis	NOUN
cana-3300	13	9	of	of	ADP
cana-3300	13	10	such	such	ADJ
cana-3300	13	11	spatially	spatially	ADV
cana-3300	13	12	dependent	dependent	ADJ
cana-3300	13	13	data	datum	NOUN
cana-3300	13	14	,	,	PUNCT
cana-3300	13	15	incorporate	incorporate	VERB
cana-3300	13	16	spatial	spatial	ADJ
cana-3300	13	17	dependence	dependence	NOUN
cana-3300	13	18	in	in	ADP
cana-3300	13	19	the	the	DET
cana-3300	13	20	concept	concept	NOUN
cana-3300	13	21	of	of	ADP
cana-3300	13	22	a	a	DET
cana-3300	13	23	contiguity	contiguity	NOUN
cana-3300	13	24	neighborhood	neighborhood	NOUN
cana-3300	13	25	matrix	matrix	NOUN
cana-3300	13	26	constructed	construct	VERB
cana-3300	13	27	based	base	VERB
cana-3300	13	28	on	on	ADP
cana-3300	13	29	the	the	DET
cana-3300	13	30	shape	shape	NOUN
cana-3300	13	31	of	of	ADP
cana-3300	13	32	a	a	DET
cana-3300	13	33	spatial	spatial	ADJ
cana-3300	13	34	lattice	lattice	NOUN
cana-3300	13	35	.	.	PUNCT
cana-3300	14	1	the	the	DET
cana-3300	14	2	prominent	prominent	ADJ
cana-3300	14	3	spatial	spatial	ADJ
cana-3300	14	4	regression	regression	NOUN
cana-3300	14	5	models	model	NOUN
cana-3300	14	6	for	for	ADP
cana-3300	14	7	aggregated	aggregated	ADJ
cana-3300	14	8	data	datum	NOUN
cana-3300	14	9	are	be	AUX
cana-3300	14	10	the	the	DET
cana-3300	14	11	conditional	conditional	ADJ
cana-3300	14	12	autoregressive	autoregressive	ADJ
cana-3300	14	13	(	(	PUNCT
cana-3300	14	14	car	car	NOUN
cana-3300	14	15	)	)	PUNCT
cana-3300	14	16	,	,	PUNCT
cana-3300	14	17	simultaneous	simultaneous	ADJ
cana-3300	14	18	autoregressive	autoregressive	ADJ
cana-3300	14	19	(	(	PUNCT
cana-3300	14	20	sar	sar	NOUN
cana-3300	14	21	)	)	PUNCT
cana-3300	14	22	and	and	CCONJ
cana-3300	14	23	the	the	DET
cana-3300	14	24	spatial	spatial	ADJ
cana-3300	14	25	moving	move	VERB
cana-3300	14	26	average	average	ADJ
cana-3300	14	27	(	(	PUNCT
cana-3300	14	28	sma	sma	NOUN
cana-3300	14	29	)	)	PUNCT
cana-3300	14	30	model	model	NOUN
cana-3300	14	31	.	.	PUNCT
cana-3300	15	1	car	car	NOUN
cana-3300	15	2	was	be	AUX
cana-3300	15	3	developed	develop	VERB
cana-3300	15	4	by	by	ADP
cana-3300	15	5	besag	besag	NOUN
cana-3300	15	6	(	(	PUNCT
cana-3300	15	7	1974	1974	NUM
cana-3300	15	8	)	)	PUNCT
cana-3300	15	9	under	under	ADP
cana-3300	15	10	the	the	DET
cana-3300	15	11	specification	specification	NOUN
cana-3300	15	12	of	of	ADP
cana-3300	15	13	a	a	DET
cana-3300	15	14	conditional	conditional	ADJ
cana-3300	15	15	probability	probability	NOUN
cana-3300	15	16	on	on	ADP
cana-3300	15	17	the	the	DET
cana-3300	15	18	response	response	NOUN
cana-3300	15	19	variable	variable	NOUN
cana-3300	15	20	.	.	PUNCT
cana-3300	16	1	the	the	DET
cana-3300	16	2	sar	sar	NOUN
cana-3300	16	3	and	and	CCONJ
cana-3300	16	4	sma	sma	PROPN
cana-3300	16	5	model	model	NOUN
cana-3300	16	6	are	be	AUX
cana-3300	16	7	specified	specify	VERB
cana-3300	16	8	by	by	ADP
cana-3300	16	9	the	the	DET
cana-3300	16	10	distributional	distributional	ADJ
cana-3300	16	11	assumption	assumption	NOUN
cana-3300	16	12	on	on	ADP
cana-3300	16	13	the	the	DET
cana-3300	16	14	error	error	NOUN
cana-3300	16	15	;	;	PUNCT
cana-3300	16	16	hence	hence	ADV
cana-3300	16	17	provide	provide	VERB
cana-3300	16	18	joint	joint	ADJ
cana-3300	16	19	probability	probability	NOUN
cana-3300	16	20	of	of	ADP
cana-3300	16	21	the	the	DET
cana-3300	16	22	response	response	NOUN
cana-3300	16	23	variable	variable	NOUN
cana-3300	16	24	,	,	PUNCT
cana-3300	16	25	cressie	cressie	PROPN
cana-3300	16	26	(	(	PUNCT
cana-3300	16	27	1993	1993	NUM
cana-3300	16	28	)	)	PUNCT
cana-3300	16	29	.	.	PUNCT
cana-3300	17	1	sar	sar	PROPN
cana-3300	17	2	was	be	AUX
cana-3300	17	3	developed	develop	VERB
cana-3300	17	4	by	by	ADP
cana-3300	17	5	whittle	whittle	NOUN
cana-3300	17	6	(	(	PUNCT
cana-3300	17	7	1954	1954	NUM
cana-3300	17	8	)	)	PUNCT
cana-3300	17	9	and	and	CCONJ
cana-3300	17	10	sma	sma	VERB
cana-3300	17	11	by	by	ADP
cana-3300	17	12	hainning	hainne	VERB
cana-3300	17	13	(	(	PUNCT
cana-3300	17	14	1978	1978	NUM
cana-3300	17	15	)	)	PUNCT
cana-3300	17	16	.	.	PUNCT
cana-3300	18	1	sar	sar	PROPN
cana-3300	18	2	and	and	CCONJ
cana-3300	18	3	car	car	NOUN
cana-3300	18	4	consider	consider	VERB
cana-3300	18	5	the	the	DET
cana-3300	18	6	observation	observation	NOUN
cana-3300	18	7	of	of	ADP
cana-3300	18	8	the	the	DET
cana-3300	18	9	response	response	NOUN
cana-3300	18	10	at	at	ADP
cana-3300	18	11	the	the	DET
cana-3300	18	12	neighboring	neighbor	VERB
cana-3300	18	13	units	unit	NOUN
cana-3300	18	14	of	of	ADP
cana-3300	18	15	a	a	DET
cana-3300	18	16	particular	particular	ADJ
cana-3300	18	17	region	region	NOUN
cana-3300	18	18	as	as	ADP
cana-3300	18	19	an	an	DET
cana-3300	18	20	additional	additional	ADJ
cana-3300	18	21	covariate	covariate	NOUN
cana-3300	18	22	and	and	CCONJ
cana-3300	18	23	associated	associate	VERB
cana-3300	18	24	with	with	ADP
cana-3300	18	25	it	it	PRON
cana-3300	18	26	a	a	DET
cana-3300	18	27	spatial	spatial	ADJ
cana-3300	18	28	dependence	dependence	NOUN
cana-3300	18	29	parameter	parameter	NOUN
cana-3300	18	30	.	.	PUNCT
cana-3300	19	1	the	the	DET
cana-3300	19	2	defined	define	VERB
cana-3300	19	3	dependence	dependence	NOUN
cana-3300	19	4	is	be	AUX
cana-3300	19	5	then	then	ADV
cana-3300	19	6	incorporated	incorporate	VERB
cana-3300	19	7	into	into	ADP
cana-3300	19	8	the	the	DET
cana-3300	19	9	mean	mean	ADJ
cana-3300	19	10	structure	structure	NOUN
cana-3300	19	11	of	of	ADP
cana-3300	19	12	the	the	DET
cana-3300	19	13	linear	linear	PROPN
cana-3300	19	14	models	model	NOUN
cana-3300	19	15	,	,	PUNCT
cana-3300	19	16	similar	similar	ADJ
cana-3300	19	17	to	to	ADP
cana-3300	19	18	the	the	DET
cana-3300	19	19	time	time	NOUN
cana-3300	19	20	series	series	PROPN
cana-3300	19	21	mailto:lidiaklam123@gmail.com	mailto:lidiaklam123@gmail.com	PROPN
cana-3300	19	22	communications	communication	NOUN
cana-3300	19	23	on	on	ADP
cana-3300	19	24	applied	apply	VERB
cana-3300	19	25	nonlinear	nonlinear	ADJ
cana-3300	19	26	analysis	analysis	NOUN
cana-3300	19	27	issn	issn	NOUN
cana-3300	19	28	:	:	PUNCT
cana-3300	19	29	1074	1074	NUM
cana-3300	19	30	-	-	PUNCT
cana-3300	19	31	133x	133x	NUM
cana-3300	19	32	vol	vol	NOUN
cana-3300	19	33	32	32	NUM
cana-3300	19	34	no	no	NOUN
cana-3300	19	35	.	.	PUNCT
cana-3300	20	1	6s	6s	NUM
cana-3300	20	2	(	(	PUNCT
cana-3300	20	3	2025	2025	NUM
cana-3300	20	4	)	)	PUNCT
cana-3300	20	5	341	341	NUM
cana-3300	20	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3300	20	7	autoregressive	autoregressive	ADJ
cana-3300	20	8	model	model	NOUN
cana-3300	20	9	.	.	PUNCT
cana-3300	21	1	sar	sar	PROPN
cana-3300	21	2	functional	functional	ADJ
cana-3300	21	3	form	form	NOUN
cana-3300	21	4	and	and	CCONJ
cana-3300	21	5	car	car	NOUN
cana-3300	21	6	model	model	NOUN
cana-3300	21	7	’s	’s	PART
cana-3300	21	8	property	property	NOUN
cana-3300	21	9	,	,	PUNCT
cana-3300	21	10	respectively	respectively	ADV
cana-3300	21	11	analogue	analogue	VERB
cana-3300	21	12	the	the	DET
cana-3300	21	13	autoregressive	autoregressive	ADJ
cana-3300	21	14	and	and	CCONJ
cana-3300	21	15	markov	markov	NOUN
cana-3300	21	16	property	property	NOUN
cana-3300	21	17	of	of	ADP
cana-3300	21	18	time	time	NOUN
cana-3300	21	19	series	series	NOUN
cana-3300	21	20	models	model	NOUN
cana-3300	21	21	(	(	PUNCT
cana-3300	21	22	wall	wall	NOUN
cana-3300	21	23	,	,	PUNCT
cana-3300	21	24	2004	2004	NUM
cana-3300	21	25	;	;	PUNCT
cana-3300	21	26	cressie	cressie	PROPN
cana-3300	21	27	,	,	PUNCT
cana-3300	21	28	1993	1993	NUM
cana-3300	21	29	)	)	PUNCT
cana-3300	21	30	.	.	PUNCT
cana-3300	22	1	sma	sma	PROPN
cana-3300	22	2	model	model	NOUN
cana-3300	22	3	on	on	ADP
cana-3300	22	4	the	the	DET
cana-3300	22	5	other	other	ADJ
cana-3300	22	6	hand	hand	NOUN
cana-3300	22	7	,	,	PUNCT
cana-3300	22	8	resembled	resemble	VERB
cana-3300	22	9	the	the	DET
cana-3300	22	10	time	time	NOUN
cana-3300	22	11	series	series	PROPN
cana-3300	22	12	moving	move	VERB
cana-3300	22	13	average	average	ADJ
cana-3300	22	14	model	model	NOUN
cana-3300	22	15	.	.	PUNCT
cana-3300	23	1	in	in	ADP
cana-3300	23	2	this	this	DET
cana-3300	23	3	model	model	NOUN
cana-3300	23	4	,	,	PUNCT
cana-3300	23	5	the	the	DET
cana-3300	23	6	disturbances	disturbance	NOUN
cana-3300	23	7	at	at	ADP
cana-3300	23	8	the	the	DET
cana-3300	23	9	neighboring	neighbor	VERB
cana-3300	23	10	units	unit	NOUN
cana-3300	23	11	of	of	ADP
cana-3300	23	12	a	a	DET
cana-3300	23	13	particular	particular	ADJ
cana-3300	23	14	region	region	NOUN
cana-3300	23	15	are	be	AUX
cana-3300	23	16	considered	consider	VERB
cana-3300	23	17	as	as	ADP
cana-3300	23	18	an	an	DET
cana-3300	23	19	additional	additional	ADJ
cana-3300	23	20	covariate	covariate	NOUN
cana-3300	23	21	with	with	ADP
cana-3300	23	22	spatial	spatial	ADJ
cana-3300	23	23	dependence	dependence	NOUN
cana-3300	23	24	parameter	parameter	NOUN
cana-3300	23	25	associated	associate	VERB
cana-3300	23	26	with	with	ADP
cana-3300	23	27	it	it	PRON
cana-3300	23	28	.	.	PUNCT
cana-3300	24	1	implementation	implementation	NOUN
cana-3300	24	2	of	of	ADP
cana-3300	24	3	car	car	NOUN
cana-3300	24	4	is	be	AUX
cana-3300	24	5	more	more	ADV
cana-3300	24	6	suitable	suitable	ADJ
cana-3300	24	7	with	with	ADP
cana-3300	24	8	the	the	DET
cana-3300	24	9	bayesian	bayesian	NOUN
cana-3300	24	10	approach	approach	NOUN
cana-3300	24	11	whereas	whereas	SCONJ
cana-3300	24	12	sar	sar	NOUN
cana-3300	24	13	and	and	CCONJ
cana-3300	24	14	sma	sma	VERB
cana-3300	24	15	with	with	ADP
cana-3300	24	16	likelihood	likelihood	NOUN
cana-3300	24	17	based	base	VERB
cana-3300	24	18	approaches	approach	NOUN
cana-3300	24	19	.	.	PUNCT
cana-3300	25	1	all	all	DET
cana-3300	25	2	three	three	NUM
cana-3300	25	3	models	model	NOUN
cana-3300	25	4	have	have	AUX
cana-3300	25	5	established	establish	VERB
cana-3300	25	6	its	its	PRON
cana-3300	25	7	significance	significance	NOUN
cana-3300	25	8	in	in	ADP
cana-3300	25	9	enhancing	enhance	VERB
cana-3300	25	10	the	the	DET
cana-3300	25	11	precision	precision	NOUN
cana-3300	25	12	of	of	ADP
cana-3300	25	13	the	the	DET
cana-3300	25	14	parameter	parameter	NOUN
cana-3300	25	15	estimates	estimate	NOUN
cana-3300	25	16	and	and	CCONJ
cana-3300	25	17	capturing	capture	VERB
cana-3300	25	18	spatial	spatial	ADJ
cana-3300	25	19	dependence	dependence	NOUN
cana-3300	25	20	.	.	PUNCT
cana-3300	26	1	aggregated	aggregate	VERB
cana-3300	26	2	data	datum	NOUN
cana-3300	26	3	on	on	ADP
cana-3300	26	4	spatial	spatial	ADJ
cana-3300	26	5	lattices	lattice	NOUN
cana-3300	26	6	exhibit	exhibit	VERB
cana-3300	26	7	the	the	DET
cana-3300	26	8	existence	existence	NOUN
cana-3300	26	9	of	of	ADP
cana-3300	26	10	various	various	ADJ
cana-3300	26	11	kind	kind	NOUN
cana-3300	26	12	of	of	ADP
cana-3300	26	13	spatial	spatial	ADJ
cana-3300	26	14	interaction	interaction	NOUN
cana-3300	26	15	which	which	PRON
cana-3300	26	16	causes	cause	VERB
cana-3300	26	17	spatial	spatial	ADJ
cana-3300	26	18	dependence	dependence	NOUN
cana-3300	26	19	.	.	PUNCT
cana-3300	27	1	the	the	DET
cana-3300	27	2	geographical	geographical	ADJ
cana-3300	27	3	location	location	NOUN
cana-3300	27	4	at	at	ADP
cana-3300	27	5	which	which	PRON
cana-3300	27	6	an	an	DET
cana-3300	27	7	event	event	NOUN
cana-3300	27	8	occurs	occur	VERB
cana-3300	27	9	is	be	AUX
cana-3300	27	10	the	the	DET
cana-3300	27	11	main	main	ADJ
cana-3300	27	12	factor	factor	NOUN
cana-3300	27	13	of	of	ADP
cana-3300	27	14	data	datum	NOUN
cana-3300	27	15	on	on	ADP
cana-3300	27	16	space	space	NOUN
cana-3300	27	17	;	;	PUNCT
cana-3300	27	18	structuring	structure	VERB
cana-3300	27	19	dependence	dependence	NOUN
cana-3300	27	20	based	base	VERB
cana-3300	27	21	on	on	ADP
cana-3300	27	22	it	it	PRON
cana-3300	27	23	forms	form	VERB
cana-3300	27	24	the	the	DET
cana-3300	27	25	basis	basis	NOUN
cana-3300	27	26	of	of	ADP
cana-3300	27	27	spatial	spatial	ADJ
cana-3300	27	28	regression	regression	NOUN
cana-3300	27	29	models	model	NOUN
cana-3300	27	30	.	.	PUNCT
cana-3300	28	1	it	it	PRON
cana-3300	28	2	assumed	assume	VERB
cana-3300	28	3	that	that	SCONJ
cana-3300	28	4	an	an	DET
cana-3300	28	5	observation	observation	NOUN
cana-3300	28	6	at	at	ADP
cana-3300	28	7	one	one	NUM
cana-3300	28	8	location	location	NOUN
cana-3300	28	9	shows	show	VERB
cana-3300	28	10	an	an	DET
cana-3300	28	11	effects	effect	NOUN
cana-3300	28	12	level	level	NOUN
cana-3300	28	13	that	that	PRON
cana-3300	28	14	are	be	AUX
cana-3300	28	15	similar	similar	ADJ
cana-3300	28	16	to	to	ADP
cana-3300	28	17	those	those	PRON
cana-3300	28	18	of	of	ADP
cana-3300	28	19	its	its	PRON
cana-3300	28	20	neighbouring	neighbouring	ADJ
cana-3300	28	21	units	unit	NOUN
cana-3300	28	22	,	,	PUNCT
cana-3300	28	23	anselin	anselin	PROPN
cana-3300	28	24	et	et	PROPN
cana-3300	28	25	al	al	PROPN
cana-3300	28	26	.	.	PROPN
cana-3300	28	27	,	,	PUNCT
cana-3300	28	28	1998	1998	NUM
cana-3300	28	29	.	.	PUNCT
cana-3300	29	1	the	the	DET
cana-3300	29	2	mentioned	mention	VERB
cana-3300	29	3	spatial	spatial	ADJ
cana-3300	29	4	regression	regression	NOUN
cana-3300	29	5	models	model	NOUN
cana-3300	29	6	usually	usually	ADV
cana-3300	29	7	,	,	PUNCT
cana-3300	29	8	established	establish	VERB
cana-3300	29	9	effects	effect	NOUN
cana-3300	29	10	level	level	NOUN
cana-3300	29	11	based	base	VERB
cana-3300	29	12	on	on	ADP
cana-3300	29	13	the	the	DET
cana-3300	29	14	first	first	ADJ
cana-3300	29	15	order	order	NOUN
cana-3300	29	16	neighbours	neighbour	NOUN
cana-3300	29	17	of	of	ADP
cana-3300	29	18	the	the	DET
cana-3300	29	19	observation	observation	NOUN
cana-3300	29	20	at	at	ADP
cana-3300	29	21	each	each	DET
cana-3300	29	22	region	region	NOUN
cana-3300	29	23	.	.	PUNCT
cana-3300	30	1	in	in	ADP
cana-3300	30	2	essence	essence	NOUN
cana-3300	30	3	,	,	PUNCT
cana-3300	30	4	spatial	spatial	ADJ
cana-3300	30	5	dependence	dependence	NOUN
cana-3300	30	6	is	be	AUX
cana-3300	30	7	not	not	PART
cana-3300	30	8	confined	confine	VERB
cana-3300	30	9	to	to	ADP
cana-3300	30	10	the	the	DET
cana-3300	30	11	first	first	ADJ
cana-3300	30	12	order	order	NOUN
cana-3300	30	13	neighbours	neighbour	NOUN
cana-3300	30	14	only	only	ADV
cana-3300	30	15	.	.	PUNCT
cana-3300	31	1	somewise	somewise	VERB
cana-3300	31	2	the	the	DET
cana-3300	31	3	higher	high	ADJ
cana-3300	31	4	order	order	NOUN
cana-3300	31	5	neighbours	neighbour	NOUN
cana-3300	31	6	may	may	AUX
cana-3300	31	7	or	or	CCONJ
cana-3300	31	8	may	may	AUX
cana-3300	31	9	not	not	PART
cana-3300	31	10	have	have	VERB
cana-3300	31	11	an	an	DET
cana-3300	31	12	effect	effect	NOUN
cana-3300	31	13	on	on	ADP
cana-3300	31	14	the	the	DET
cana-3300	31	15	observation	observation	NOUN
cana-3300	31	16	in	in	ADP
cana-3300	31	17	a	a	DET
cana-3300	31	18	region	region	NOUN
cana-3300	31	19	.	.	PUNCT
cana-3300	32	1	analysis	analysis	NOUN
cana-3300	32	2	using	use	VERB
cana-3300	32	3	the	the	DET
cana-3300	32	4	usual	usual	ADJ
cana-3300	32	5	spatial	spatial	ADJ
cana-3300	32	6	regression	regression	NOUN
cana-3300	32	7	models	model	NOUN
cana-3300	32	8	may	may	AUX
cana-3300	32	9	have	have	VERB
cana-3300	32	10	a	a	DET
cana-3300	32	11	substantial	substantial	ADJ
cana-3300	32	12	impact	impact	NOUN
cana-3300	32	13	on	on	ADP
cana-3300	32	14	the	the	DET
cana-3300	32	15	accuracy	accuracy	NOUN
cana-3300	32	16	of	of	ADP
cana-3300	32	17	the	the	DET
cana-3300	32	18	estimates	estimate	NOUN
cana-3300	32	19	,	,	PUNCT
cana-3300	32	20	if	if	SCONJ
cana-3300	32	21	higher	high	ADJ
cana-3300	32	22	order	order	NOUN
cana-3300	32	23	neighbours	neighbour	NOUN
cana-3300	32	24	have	have	VERB
cana-3300	32	25	a	a	DET
cana-3300	32	26	significant	significant	ADJ
cana-3300	32	27	effect	effect	NOUN
cana-3300	32	28	on	on	ADP
cana-3300	32	29	the	the	DET
cana-3300	32	30	data	datum	NOUN
cana-3300	32	31	at	at	ADP
cana-3300	32	32	a	a	DET
cana-3300	32	33	region	region	NOUN
cana-3300	32	34	.	.	PUNCT
cana-3300	33	1	therefore	therefore	ADV
cana-3300	33	2	,	,	PUNCT
cana-3300	33	3	it	it	PRON
cana-3300	33	4	is	be	AUX
cana-3300	33	5	important	important	ADJ
cana-3300	33	6	to	to	PART
cana-3300	33	7	take	take	VERB
cana-3300	33	8	into	into	ADP
cana-3300	33	9	account	account	NOUN
cana-3300	33	10	the	the	DET
cana-3300	33	11	effects	effect	NOUN
cana-3300	33	12	level	level	NOUN
cana-3300	33	13	based	base	VERB
cana-3300	33	14	on	on	ADP
cana-3300	33	15	higher	high	ADJ
cana-3300	33	16	order	order	NOUN
cana-3300	33	17	neighbourhood	neighbourhood	NOUN
cana-3300	33	18	structure	structure	NOUN
cana-3300	33	19	.	.	PUNCT
cana-3300	34	1	moreover	moreover	ADV
cana-3300	34	2	,	,	PUNCT
cana-3300	34	3	the	the	DET
cana-3300	34	4	incorporation	incorporation	NOUN
cana-3300	34	5	of	of	ADP
cana-3300	34	6	a	a	DET
cana-3300	34	7	higher	high	ADJ
cana-3300	34	8	order	order	NOUN
cana-3300	34	9	neighbourhood	neighbourhood	NOUN
cana-3300	34	10	structure	structure	NOUN
cana-3300	34	11	in	in	ADP
cana-3300	34	12	the	the	DET
cana-3300	34	13	model	model	NOUN
cana-3300	34	14	allows	allow	VERB
cana-3300	34	15	the	the	DET
cana-3300	34	16	examination	examination	NOUN
cana-3300	34	17	of	of	ADP
cana-3300	34	18	complicated	complicated	ADJ
cana-3300	34	19	interactions	interaction	NOUN
cana-3300	34	20	that	that	PRON
cana-3300	34	21	may	may	AUX
cana-3300	34	22	exist	exist	VERB
cana-3300	34	23	and	and	CCONJ
cana-3300	34	24	,	,	PUNCT
cana-3300	34	25	to	to	PART
cana-3300	34	26	account	account	VERB
cana-3300	34	27	for	for	ADP
cana-3300	34	28	its	its	PRON
cana-3300	34	29	presence	presence	NOUN
cana-3300	34	30	,	,	PUNCT
cana-3300	34	31	which	which	PRON
cana-3300	34	32	may	may	AUX
cana-3300	34	33	not	not	PART
cana-3300	34	34	be	be	AUX
cana-3300	34	35	possible	possible	ADJ
cana-3300	34	36	with	with	ADP
cana-3300	34	37	just	just	ADV
cana-3300	34	38	the	the	DET
cana-3300	34	39	first	first	ADJ
cana-3300	34	40	order	order	NOUN
cana-3300	34	41	neighbourhood	neighbourhood	NOUN
cana-3300	34	42	framework	framework	NOUN
cana-3300	34	43	.	.	PUNCT
cana-3300	35	1	this	this	DET
cana-3300	35	2	manuscript	manuscript	NOUN
cana-3300	35	3	study	study	VERB
cana-3300	35	4	the	the	DET
cana-3300	35	5	specification	specification	NOUN
cana-3300	35	6	of	of	ADP
cana-3300	35	7	spatial	spatial	ADJ
cana-3300	35	8	dependence	dependence	NOUN
cana-3300	35	9	based	base	VERB
cana-3300	35	10	on	on	ADP
cana-3300	35	11	the	the	DET
cana-3300	35	12	first	first	ADJ
cana-3300	35	13	and	and	CCONJ
cana-3300	35	14	second	second	ADJ
cana-3300	35	15	order	order	NOUN
cana-3300	35	16	neighbours	neighbour	NOUN
cana-3300	35	17	in	in	ADP
cana-3300	35	18	the	the	DET
cana-3300	35	19	sma	sma	NOUN
cana-3300	35	20	model	model	NOUN
cana-3300	35	21	and	and	CCONJ
cana-3300	35	22	provides	provide	VERB
cana-3300	35	23	its	its	PRON
cana-3300	35	24	implementation	implementation	NOUN
cana-3300	35	25	.	.	PUNCT
cana-3300	36	1	the	the	DET
cana-3300	36	2	incorporation	incorporation	NOUN
cana-3300	36	3	of	of	ADP
cana-3300	36	4	a	a	DET
cana-3300	36	5	contiguity	contiguity	NOUN
cana-3300	36	6	matrix	matrix	NOUN
cana-3300	36	7	of	of	ADP
cana-3300	36	8	second	second	ADJ
cana-3300	36	9	order	order	NOUN
cana-3300	36	10	neighbors	neighbor	NOUN
cana-3300	36	11	(	(	PUNCT
cana-3300	36	12	)	)	PUNCT
cana-3300	36	13	2w	2w	NOUN
cana-3300	36	14	into	into	ADP
cana-3300	36	15	the	the	DET
cana-3300	36	16	sma	sma	NOUN
cana-3300	36	17	model	model	NOUN
cana-3300	36	18	with	with	ADP
cana-3300	36	19	first	first	ADJ
cana-3300	36	20	order	order	NOUN
cana-3300	36	21	contiguity	contiguity	NOUN
cana-3300	36	22	neighbors	neighbor	NOUN
cana-3300	36	23	(	(	PUNCT
cana-3300	36	24	)	)	PUNCT
cana-3300	36	25	1w	1w	NUM
cana-3300	36	26	can	can	AUX
cana-3300	36	27	be	be	AUX
cana-3300	36	28	specified	specify	VERB
cana-3300	36	29	analogous	analogous	ADJ
cana-3300	36	30	to	to	ADP
cana-3300	36	31	the	the	DET
cana-3300	36	32	moving	move	VERB
cana-3300	36	33	average	average	ADJ
cana-3300	36	34	time	time	NOUN
cana-3300	36	35	series	series	NOUN
cana-3300	36	36	models	model	NOUN
cana-3300	36	37	.	.	PUNCT
cana-3300	37	1	it	it	PRON
cana-3300	37	2	follows	follow	VERB
cana-3300	37	3	extending	extend	VERB
cana-3300	37	4	the	the	DET
cana-3300	37	5	linear	linear	ADJ
cana-3300	37	6	polynomial	polynomial	NOUN
cana-3300	37	7	(	(	PUNCT
cana-3300	37	8	)	)	PUNCT
cana-3300	37	9	11wi	11wi	NOUN
cana-3300	37	10	+	+	NOUN
cana-3300	37	11	associated	associate	VERB
cana-3300	37	12	with	with	ADP
cana-3300	37	13	the	the	DET
cana-3300	37	14	error	error	NOUN
cana-3300	37	15	structure	structure	NOUN
cana-3300	37	16	of	of	ADP
cana-3300	37	17	sma	sma	NOUN
cana-3300	37	18	to	to	ADP
cana-3300	37	19	the	the	DET
cana-3300	37	20	form	form	NOUN
cana-3300	37	21	(	(	PUNCT
cana-3300	37	22	)	)	PUNCT
cana-3300	37	23	2211	2211	NUM
cana-3300	37	24	wwi	wwi	NOUN
cana-3300	37	25			PUNCT
cana-3300	38	1	+	+	PROPN
cana-3300	38	2	+	+	PROPN
cana-3300	38	3	,	,	PUNCT
cana-3300	38	4	a	a	DET
cana-3300	38	5	quadratic	quadratic	ADJ
cana-3300	38	6	polynomial	polynomial	NOUN
cana-3300	38	7	as	as	SCONJ
cana-3300	38	8	named	name	VERB
cana-3300	38	9	by	by	ADP
cana-3300	38	10	lesage	lesage	NOUN
cana-3300	38	11	&	&	CCONJ
cana-3300	38	12	pace	pace	NOUN
cana-3300	38	13	,	,	PUNCT
cana-3300	38	14	2009	2009	NUM
cana-3300	38	15	.	.	PUNCT
cana-3300	39	1	likelihood	likelihood	NOUN
cana-3300	39	2	based	base	VERB
cana-3300	39	3	implementation	implementation	NOUN
cana-3300	39	4	of	of	ADP
cana-3300	39	5	the	the	DET
cana-3300	39	6	second	second	ADJ
cana-3300	39	7	order	order	NOUN
cana-3300	39	8	sma	sma	NOUN
cana-3300	39	9	specified	specify	VERB
cana-3300	39	10	hereby	hereby	ADV
cana-3300	39	11	involves	involve	VERB
cana-3300	39	12	the	the	DET
cana-3300	39	13	evaluation	evaluation	NOUN
cana-3300	39	14	of	of	ADP
cana-3300	39	15	2211	2211	NUM
cana-3300	39	16	wwi	wwi	NOUN
cana-3300	39	17			PUNCT
cana-3300	40	1	+	+	PUNCT
cana-3300	40	2	+	+	X
cana-3300	40	3	which	which	PRON
cana-3300	40	4	consist	consist	VERB
cana-3300	40	5	of	of	ADP
cana-3300	40	6	both	both	CCONJ
cana-3300	40	7	the	the	DET
cana-3300	40	8	first	first	ADJ
cana-3300	40	9	and	and	CCONJ
cana-3300	40	10	second	second	ADJ
cana-3300	40	11	order	order	NOUN
cana-3300	40	12	spatial	spatial	ADJ
cana-3300	40	13	dependence	dependence	NOUN
cana-3300	40	14	parameters	parameter	NOUN
cana-3300	40	15	.	.	PUNCT
cana-3300	41	1	the	the	DET
cana-3300	41	2	computation	computation	NOUN
cana-3300	41	3	of	of	ADP
cana-3300	41	4	2211	2211	NUM
cana-3300	41	5	wwi	wwi	NOUN
cana-3300	41	6			PUNCT
cana-3300	42	1	+	+	PUNCT
cana-3300	42	2	+	+	CCONJ
cana-3300	42	3	becomes	become	VERB
cana-3300	42	4	complicated	complicated	ADJ
cana-3300	42	5	with	with	ADP
cana-3300	42	6	higher	high	ADJ
cana-3300	42	7	order	order	NOUN
cana-3300	42	8	neighbourhood	neighbourhood	NOUN
cana-3300	42	9	structure	structure	NOUN
cana-3300	42	10	,	,	PUNCT
cana-3300	42	11	as	as	SCONJ
cana-3300	42	12	the	the	DET
cana-3300	42	13	contiguity	contiguity	NOUN
cana-3300	42	14	matrix	matrix	NOUN
cana-3300	42	15	becomes	become	VERB
cana-3300	42	16	less	less	ADV
cana-3300	42	17	sparse	sparse	ADJ
cana-3300	42	18	with	with	ADP
cana-3300	42	19	increasing	increase	VERB
cana-3300	42	20	order	order	NOUN
cana-3300	42	21	of	of	ADP
cana-3300	42	22	the	the	DET
cana-3300	42	23	neigbourhood	neigbourhood	PROPN
cana-3300	42	24	structure	structure	NOUN
cana-3300	42	25	,	,	PUNCT
cana-3300	42	26	lesage	lesage	NOUN
cana-3300	42	27	and	and	CCONJ
cana-3300	42	28	pace	pace	NOUN
cana-3300	42	29	,	,	PUNCT
cana-3300	42	30	2009	2009	NUM
cana-3300	42	31	.	.	PUNCT
cana-3300	43	1	the	the	DET
cana-3300	43	2	author	author	NOUN
cana-3300	43	3	suggested	suggest	VERB
cana-3300	43	4	factorizing	factorize	VERB
cana-3300	43	5	(	(	PUNCT
cana-3300	43	6	)	)	PUNCT
cana-3300	43	7	2211	2211	NUM
cana-3300	43	8	wwi	wwi	NOUN
cana-3300	43	9			PUNCT
cana-3300	44	1	+	+	X
cana-3300	44	2	+	+	X
cana-3300	44	3	into	into	ADP
cana-3300	44	4	a	a	DET
cana-3300	44	5	product	product	NOUN
cana-3300	44	6	of	of	ADP
cana-3300	44	7	two	two	NUM
cana-3300	44	8	linear	linear	ADJ
cana-3300	44	9	polynomials	polynomial	NOUN
cana-3300	44	10	i.e.	i.e.	X
cana-3300	44	11	,	,	PUNCT
cana-3300	44	12	(	(	PUNCT
cana-3300	44	13	)	)	PUNCT
cana-3300	44	14	(	(	PUNCT
cana-3300	44	15	)	)	PUNCT
cana-3300	44	16	2211	2211	NUM
cana-3300	44	17	wiwi	wiwi	NOUN
cana-3300	44	18			PUNCT
cana-3300	45	1	+	+	PROPN
cana-3300	45	2	+	+	X
cana-3300	45	3	so	so	SCONJ
cana-3300	45	4	as	as	SCONJ
cana-3300	45	5	to	to	PART
cana-3300	45	6	ease	ease	VERB
cana-3300	45	7	the	the	DET
cana-3300	45	8	computational	computational	ADJ
cana-3300	45	9	complexity	complexity	NOUN
cana-3300	45	10	.	.	PUNCT
cana-3300	46	1	thus	thus	ADV
cana-3300	46	2	,	,	PUNCT
cana-3300	46	3	the	the	DET
cana-3300	46	4	second	second	ADJ
cana-3300	46	5	order	order	NOUN
cana-3300	46	6	sma	sma	VERB
cana-3300	46	7	polynomial	polynomial	ADJ
cana-3300	46	8	model	model	NOUN
cana-3300	46	9	studied	study	VERB
cana-3300	46	10	in	in	ADP
cana-3300	46	11	this	this	DET
cana-3300	46	12	article	article	NOUN
cana-3300	46	13	is	be	AUX
cana-3300	46	14	of	of	ADP
cana-3300	46	15	the	the	DET
cana-3300	46	16	form	form	NOUN
cana-3300	46	17	where	where	SCONJ
cana-3300	46	18	(	(	PUNCT
cana-3300	46	19	)	)	PUNCT
cana-3300	46	20	(	(	PUNCT
cana-3300	46	21	)	)	PUNCT
cana-3300	46	22	2211	2211	NUM
cana-3300	46	23	wiwi	wiwi	NOUN
cana-3300	46	24			PUNCT
cana-3300	47	1	+	+	PUNCT
cana-3300	47	2	+	+	X
cana-3300	47	3	is	be	AUX
cana-3300	47	4	associated	associate	VERB
cana-3300	47	5	with	with	ADP
cana-3300	47	6	the	the	DET
cana-3300	47	7	error	error	NOUN
cana-3300	47	8	structure	structure	NOUN
cana-3300	47	9	,	,	PUNCT
cana-3300	47	10	as	as	SCONJ
cana-3300	47	11	given	give	VERB
cana-3300	47	12	in	in	ADP
cana-3300	47	13	section	section	NOUN
cana-3300	47	14	2	2	NUM
cana-3300	47	15	.	.	PUNCT
cana-3300	48	1	theoretically	theoretically	ADV
cana-3300	48	2	,	,	PUNCT
cana-3300	48	3	the	the	DET
cana-3300	48	4	specification	specification	NOUN
cana-3300	48	5	provides	provide	VERB
cana-3300	48	6	plausible	plausible	ADJ
cana-3300	48	7	ranges	range	NOUN
cana-3300	48	8	of	of	ADP
cana-3300	48	9	the	the	DET
cana-3300	48	10	two	two	NUM
cana-3300	48	11	spatial	spatial	ADJ
cana-3300	48	12	dependence	dependence	NOUN
cana-3300	48	13	parameters	parameter	NOUN
cana-3300	48	14	.	.	PUNCT
cana-3300	49	1	the	the	DET
cana-3300	49	2	second	second	ADJ
cana-3300	49	3	order	order	NOUN
cana-3300	49	4	sma	sma	VERB
cana-3300	49	5	polynomial	polynomial	ADJ
cana-3300	49	6	model	model	NOUN
cana-3300	49	7	proposed	propose	VERB
cana-3300	49	8	is	be	AUX
cana-3300	49	9	implemented	implement	VERB
cana-3300	49	10	under	under	ADP
cana-3300	49	11	the	the	DET
cana-3300	49	12	likelihood	likelihood	NOUN
cana-3300	49	13	paradigm	paradigm	NOUN
cana-3300	49	14	.	.	PUNCT
cana-3300	50	1	the	the	DET
cana-3300	50	2	maximum	maximum	ADJ
cana-3300	50	3	likelihood	likelihood	NOUN
cana-3300	50	4	(	(	PUNCT
cana-3300	50	5	ml	ml	NOUN
cana-3300	50	6	)	)	PUNCT
cana-3300	50	7	estimate	estimate	NOUN
cana-3300	50	8	of	of	ADP
cana-3300	50	9	the	the	DET
cana-3300	50	10	parameters	parameter	NOUN
cana-3300	50	11	is	be	AUX
cana-3300	50	12	derived	derive	VERB
cana-3300	50	13	as	as	SCONJ
cana-3300	50	14	shown	show	VERB
cana-3300	50	15	in	in	ADP
cana-3300	50	16	section	section	NOUN
cana-3300	50	17	3	3	NUM
cana-3300	50	18	.	.	PUNCT
cana-3300	51	1	it	it	PRON
cana-3300	51	2	may	may	AUX
cana-3300	51	3	communications	communication	NOUN
cana-3300	51	4	on	on	ADP
cana-3300	51	5	applied	apply	VERB
cana-3300	51	6	nonlinear	nonlinear	ADJ
cana-3300	51	7	analysis	analysis	NOUN
cana-3300	51	8	issn	issn	NOUN
cana-3300	51	9	:	:	PUNCT
cana-3300	51	10	1074	1074	NUM
cana-3300	51	11	-	-	PUNCT
cana-3300	51	12	133x	133x	NUM
cana-3300	51	13	vol	vol	NOUN
cana-3300	51	14	32	32	NUM
cana-3300	51	15	no	no	NOUN
cana-3300	51	16	.	.	PUNCT
cana-3300	52	1	6s	6s	NUM
cana-3300	52	2	(	(	PUNCT
cana-3300	52	3	2025	2025	NUM
cana-3300	52	4	)	)	PUNCT
cana-3300	52	5	342	342	NUM
cana-3300	52	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3300	52	7	be	be	AUX
cana-3300	52	8	noticed	notice	VERB
cana-3300	52	9	that	that	SCONJ
cana-3300	52	10	the	the	DET
cana-3300	52	11	analytical	analytical	ADJ
cana-3300	52	12	expression	expression	NOUN
cana-3300	52	13	of	of	ADP
cana-3300	52	14	the	the	DET
cana-3300	52	15	parameters	parameter	NOUN
cana-3300	52	16	ml	ml	NOUN
cana-3300	52	17	estimates	estimate	NOUN
cana-3300	52	18	are	be	AUX
cana-3300	52	19	functions	function	NOUN
cana-3300	52	20	of	of	ADP
cana-3300	52	21	the	the	DET
cana-3300	52	22	other	other	ADJ
cana-3300	52	23	estimates	estimate	NOUN
cana-3300	52	24	.	.	PUNCT
cana-3300	53	1	in	in	ADP
cana-3300	53	2	the	the	DET
cana-3300	53	3	case	case	NOUN
cana-3300	53	4	of	of	ADP
cana-3300	53	5	2	2	NUM
cana-3300	53	6	,	,	PUNCT
cana-3300	53	7	it	it	PRON
cana-3300	53	8	is	be	AUX
cana-3300	53	9	a	a	DET
cana-3300	53	10	function	function	NOUN
cana-3300	53	11	of	of	ADP
cana-3300	53	12			PROPN
cana-3300	53	13	ˆ,ˆ,ˆ	ˆ,ˆ,ˆ	PROPN
cana-3300	53	14	21	21	NUM
cana-3300	53	15	and	and	CCONJ
cana-3300	53	16	,	,	PUNCT
cana-3300	53	17	and	and	CCONJ
cana-3300	53	18	for	for	ADP
cana-3300	53	19			PROPN
cana-3300	53	20	,	,	PUNCT
cana-3300	53	21	it	it	PRON
cana-3300	53	22	is	be	AUX
cana-3300	53	23	a	a	DET
cana-3300	53	24	function	function	NOUN
cana-3300	53	25	of	of	ADP
cana-3300	53	26	21	21	NUM
cana-3300	53	27	ˆˆ	ˆˆ	PROPN
cana-3300	53	28			PROPN
cana-3300	53	29	and	and	CCONJ
cana-3300	53	30	.	.	PUNCT
cana-3300	54	1	expressing	express	VERB
cana-3300	54	2	the	the	DET
cana-3300	54	3	estimates	estimate	NOUN
cana-3300	54	4	of	of	ADP
cana-3300	54	5	2	2	NUM
cana-3300	54	6	and	and	CCONJ
cana-3300	54	7			NOUN
cana-3300	54	8	accordingly	accordingly	ADV
cana-3300	54	9	as	as	ADP
cana-3300	54	10	a	a	DET
cana-3300	54	11	function	function	NOUN
cana-3300	54	12	of	of	ADP
cana-3300	54	13	21	21	NUM
cana-3300	54	14			NOUN
cana-3300	54	15	and	and	CCONJ
cana-3300	54	16	in	in	ADP
cana-3300	54	17	the	the	DET
cana-3300	54	18	likelihood	likelihood	NOUN
cana-3300	54	19	function	function	NOUN
cana-3300	54	20	,	,	PUNCT
cana-3300	54	21	ml	ml	ADP
cana-3300	54	22	estimates	estimate	NOUN
cana-3300	54	23	of	of	ADP
cana-3300	54	24	21	21	NUM
cana-3300	54	25			NOUN
cana-3300	54	26	and	and	CCONJ
cana-3300	54	27	may	may	AUX
cana-3300	54	28	be	be	AUX
cana-3300	54	29	initially	initially	ADV
cana-3300	54	30	obtained	obtain	VERB
cana-3300	54	31	.	.	PUNCT
cana-3300	55	1	ml	ml	PROPN
cana-3300	55	2	estimates	estimate	NOUN
cana-3300	55	3	of	of	ADP
cana-3300	55	4			PROPN
cana-3300	55	5	and	and	CCONJ
cana-3300	55	6	2	2	NUM
cana-3300	55	7	may	may	AUX
cana-3300	55	8	be	be	AUX
cana-3300	55	9	correspondingly	correspondingly	ADV
cana-3300	55	10	attained	attain	VERB
cana-3300	55	11	.	.	PUNCT
cana-3300	56	1	thus	thus	ADV
cana-3300	56	2	,	,	PUNCT
cana-3300	56	3	estimation	estimation	NOUN
cana-3300	56	4	is	be	AUX
cana-3300	56	5	based	base	VERB
cana-3300	56	6	on	on	ADP
cana-3300	56	7	modified	modify	VERB
cana-3300	56	8	likelihoods	likelihood	NOUN
cana-3300	56	9	.	.	PUNCT
cana-3300	57	1	in	in	ADP
cana-3300	57	2	this	this	DET
cana-3300	57	3	paper	paper	NOUN
cana-3300	57	4	estimation	estimation	NOUN
cana-3300	57	5	is	be	AUX
cana-3300	57	6	not	not	PART
cana-3300	57	7	based	base	VERB
cana-3300	57	8	on	on	ADP
cana-3300	57	9	modified	modify	VERB
cana-3300	57	10	likelihoods	likelihood	NOUN
cana-3300	57	11	.	.	PUNCT
cana-3300	58	1	differential	differential	ADJ
cana-3300	58	2	evolution	evolution	NOUN
cana-3300	58	3	(	(	PUNCT
cana-3300	58	4	de	de	NOUN
cana-3300	58	5	)	)	PUNCT
cana-3300	58	6	algorithm	algorithm	NOUN
cana-3300	58	7	,	,	PUNCT
cana-3300	58	8	proposed	propose	VERB
cana-3300	58	9	by	by	ADP
cana-3300	58	10	price	price	NOUN
cana-3300	58	11	&	&	CCONJ
cana-3300	58	12	storn	storn	ADJ
cana-3300	58	13	(	(	PUNCT
cana-3300	58	14	1997	1997	NUM
cana-3300	58	15	)	)	PUNCT
cana-3300	58	16	available	available	ADJ
cana-3300	58	17	in	in	ADP
cana-3300	58	18	r	r	NOUN
cana-3300	58	19	package	package	NOUN
cana-3300	58	20	;	;	PUNCT
cana-3300	58	21	an	an	DET
cana-3300	58	22	optimization	optimization	NOUN
cana-3300	58	23	method	method	NOUN
cana-3300	58	24	for	for	ADP
cana-3300	58	25	any	any	DET
cana-3300	58	26	non	non	ADJ
cana-3300	58	27	-	-	ADJ
cana-3300	58	28	differentiable	differentiable	ADJ
cana-3300	58	29	or	or	CCONJ
cana-3300	58	30	non	non	ADJ
cana-3300	58	31	-	-	ADJ
cana-3300	58	32	linear	linear	ADJ
cana-3300	58	33	function	function	NOUN
cana-3300	58	34	is	be	AUX
cana-3300	58	35	used	use	VERB
cana-3300	58	36	as	as	ADP
cana-3300	58	37	the	the	DET
cana-3300	58	38	method	method	NOUN
cana-3300	58	39	of	of	ADP
cana-3300	58	40	optimization	optimization	NOUN
cana-3300	58	41	of	of	ADP
cana-3300	58	42	the	the	DET
cana-3300	58	43	full	full	ADJ
cana-3300	58	44	likelihood	likelihood	NOUN
cana-3300	58	45	function	function	NOUN
cana-3300	58	46	of	of	ADP
cana-3300	58	47	the	the	DET
cana-3300	58	48	study	study	NOUN
cana-3300	58	49	model	model	NOUN
cana-3300	58	50	.	.	PUNCT
cana-3300	59	1	the	the	DET
cana-3300	59	2	de	de	PROPN
cana-3300	59	3	optimization	optimization	NOUN
cana-3300	59	4	method	method	NOUN
cana-3300	59	5	consists	consist	VERB
cana-3300	59	6	of	of	ADP
cana-3300	59	7	the	the	DET
cana-3300	59	8	initialization	initialization	NOUN
cana-3300	59	9	,	,	PUNCT
cana-3300	59	10	mutation	mutation	NOUN
cana-3300	59	11	,	,	PUNCT
cana-3300	59	12	recombination	recombination	NOUN
cana-3300	59	13	and	and	CCONJ
cana-3300	59	14	selection	selection	NOUN
cana-3300	59	15	steps	step	NOUN
cana-3300	59	16	.	.	PUNCT
cana-3300	60	1	the	the	DET
cana-3300	60	2	optimization	optimization	NOUN
cana-3300	60	3	of	of	ADP
cana-3300	60	4	the	the	DET
cana-3300	60	5	full	full	ADJ
cana-3300	60	6	likelihood	likelihood	NOUN
cana-3300	60	7	function	function	NOUN
cana-3300	60	8	provides	provide	VERB
cana-3300	60	9	desirable	desirable	ADJ
cana-3300	60	10	properties	property	NOUN
cana-3300	60	11	of	of	ADP
cana-3300	60	12	its	its	PRON
cana-3300	60	13	estimates	estimate	NOUN
cana-3300	60	14	relative	relative	ADJ
cana-3300	60	15	to	to	ADP
cana-3300	60	16	consistency	consistency	NOUN
cana-3300	60	17	,	,	PUNCT
cana-3300	60	18	asymptotic	asymptotic	ADJ
cana-3300	60	19	efficiency	efficiency	NOUN
cana-3300	60	20	and	and	CCONJ
cana-3300	60	21	asymptotic	asymptotic	ADJ
cana-3300	60	22	normality	normality	NOUN
cana-3300	60	23	,	,	PUNCT
cana-3300	60	24	as	as	SCONJ
cana-3300	60	25	compared	compare	VERB
cana-3300	60	26	to	to	ADP
cana-3300	60	27	the	the	DET
cana-3300	60	28	other	other	ADJ
cana-3300	60	29	likelihood	likelihood	NOUN
cana-3300	60	30	based	base	VERB
cana-3300	60	31	estimation	estimation	NOUN
cana-3300	60	32	.	.	PUNCT
cana-3300	61	1	it	it	PRON
cana-3300	61	2	also	also	ADV
cana-3300	61	3	made	make	VERB
cana-3300	61	4	the	the	DET
cana-3300	61	5	construction	construction	NOUN
cana-3300	61	6	of	of	ADP
cana-3300	61	7	the	the	DET
cana-3300	61	8	simultaneous	simultaneous	ADJ
cana-3300	61	9	confidence	confidence	NOUN
cana-3300	61	10	regions	region	NOUN
cana-3300	61	11	for	for	ADP
cana-3300	61	12	the	the	DET
cana-3300	61	13	two	two	NUM
cana-3300	61	14	spatial	spatial	ADJ
cana-3300	61	15	dependence	dependence	NOUN
cana-3300	61	16	parameters	parameter	NOUN
cana-3300	61	17	possible	possible	ADJ
cana-3300	61	18	.	.	PUNCT
cana-3300	62	1	the	the	DET
cana-3300	62	2	optimization	optimization	NOUN
cana-3300	62	3	method	method	NOUN
cana-3300	62	4	has	have	AUX
cana-3300	62	5	been	be	AUX
cana-3300	62	6	successfully	successfully	ADV
cana-3300	62	7	used	use	VERB
cana-3300	62	8	for	for	ADP
cana-3300	62	9	the	the	DET
cana-3300	62	10	implementation	implementation	NOUN
cana-3300	62	11	of	of	ADP
cana-3300	62	12	skew	skew	ADJ
cana-3300	62	13	normal	normal	ADJ
cana-3300	62	14	sar	sar	PROPN
cana-3300	62	15	model	model	PROPN
cana-3300	62	16	,	,	PUNCT
cana-3300	62	17	jha	jha	PROPN
cana-3300	62	18	s.k	s.k	PROPN
cana-3300	62	19	.	.	PROPN
cana-3300	62	20	et	et	PROPN
cana-3300	62	21	al	al	PROPN
cana-3300	62	22	.	.	PROPN
cana-3300	63	1	(	(	PUNCT
cana-3300	63	2	2021	2021	NUM
cana-3300	63	3	)	)	PUNCT
cana-3300	63	4	and	and	CCONJ
cana-3300	63	5	sma	sma	VERB
cana-3300	63	6	model	model	NOUN
cana-3300	63	7	of	of	ADP
cana-3300	63	8	first	first	ADJ
cana-3300	63	9	order	order	NOUN
cana-3300	63	10	,	,	PUNCT
cana-3300	63	11	jha	jha	PROPN
cana-3300	63	12	s.k	s.k	PROPN
cana-3300	63	13	.	.	PROPN
cana-3300	63	14	et	et	PROPN
cana-3300	63	15	al	al	PROPN
cana-3300	63	16	.	.	PROPN
cana-3300	64	1	(	(	PUNCT
cana-3300	64	2	2023	2023	NUM
cana-3300	64	3	)	)	PUNCT
cana-3300	64	4	.	.	PUNCT
cana-3300	65	1	the	the	DET
cana-3300	65	2	main	main	ADJ
cana-3300	65	3	purpose	purpose	NOUN
cana-3300	65	4	of	of	ADP
cana-3300	65	5	the	the	DET
cana-3300	65	6	paper	paper	NOUN
cana-3300	65	7	is	be	AUX
cana-3300	65	8	to	to	PART
cana-3300	65	9	study	study	VERB
cana-3300	65	10	the	the	DET
cana-3300	65	11	implementation	implementation	NOUN
cana-3300	65	12	of	of	ADP
cana-3300	65	13	the	the	DET
cana-3300	65	14	second	second	ADJ
cana-3300	65	15	order	order	NOUN
cana-3300	65	16	sma	sma	NOUN
cana-3300	65	17	polynomial	polynomial	ADJ
cana-3300	65	18	model	model	NOUN
cana-3300	65	19	and	and	CCONJ
cana-3300	65	20	to	to	PART
cana-3300	65	21	acknowledge	acknowledge	VERB
cana-3300	65	22	its	its	PRON
cana-3300	65	23	importance	importance	NOUN
cana-3300	65	24	in	in	ADP
cana-3300	65	25	modeling	model	VERB
cana-3300	65	26	relationships	relationship	NOUN
cana-3300	65	27	in	in	ADP
cana-3300	65	28	spatially	spatially	ADV
cana-3300	65	29	dependent	dependent	ADJ
cana-3300	65	30	data	datum	NOUN
cana-3300	65	31	.	.	PUNCT
cana-3300	66	1	the	the	DET
cana-3300	66	2	remaining	remain	VERB
cana-3300	66	3	of	of	ADP
cana-3300	66	4	the	the	DET
cana-3300	66	5	paper	paper	NOUN
cana-3300	66	6	is	be	AUX
cana-3300	66	7	organized	organize	VERB
cana-3300	66	8	as	as	SCONJ
cana-3300	66	9	follows	follow	VERB
cana-3300	66	10	:	:	PUNCT
cana-3300	66	11	section	section	NOUN
cana-3300	66	12	2	2	NUM
cana-3300	66	13	define	define	VERB
cana-3300	66	14	the	the	DET
cana-3300	66	15	form	form	NOUN
cana-3300	66	16	of	of	ADP
cana-3300	66	17	the	the	DET
cana-3300	66	18	second	second	ADJ
cana-3300	66	19	order	order	NOUN
cana-3300	66	20	sma	sma	NOUN
cana-3300	66	21	polynomial	polynomial	ADJ
cana-3300	66	22	,	,	PUNCT
cana-3300	66	23	section	section	NOUN
cana-3300	66	24	3	3	NUM
cana-3300	66	25	gives	give	VERB
cana-3300	66	26	the	the	DET
cana-3300	66	27	ml	ml	NOUN
cana-3300	66	28	derivation	derivation	NOUN
cana-3300	66	29	of	of	ADP
cana-3300	66	30	the	the	DET
cana-3300	66	31	model	model	NOUN
cana-3300	66	32	,	,	PUNCT
cana-3300	66	33	section	section	NOUN
cana-3300	66	34	4	4	NUM
cana-3300	66	35	provides	provide	VERB
cana-3300	66	36	the	the	DET
cana-3300	66	37	implementation	implementation	NOUN
cana-3300	66	38	of	of	ADP
cana-3300	66	39	the	the	DET
cana-3300	66	40	model	model	NOUN
cana-3300	66	41	on	on	ADP
cana-3300	66	42	simulated	simulated	ADJ
cana-3300	66	43	data	datum	NOUN
cana-3300	66	44	and	and	CCONJ
cana-3300	66	45	section	section	NOUN
cana-3300	66	46	5	5	NUM
cana-3300	66	47	presented	present	VERB
cana-3300	66	48	the	the	DET
cana-3300	66	49	conclusion	conclusion	NOUN
cana-3300	66	50	.	.	PUNCT
cana-3300	67	1	2	2	X
cana-3300	67	2	.	.	NUM
cana-3300	67	3	models	model	NOUN
cana-3300	67	4	let	let	VERB
cana-3300	67	5	nsss	nsss	NOUN
cana-3300	67	6	.....	.....	PUNCT
cana-3300	67	7	,	,	PUNCT
cana-3300	67	8	,	,	PUNCT
cana-3300	67	9	,	,	PUNCT
cana-3300	67	10	21	21	NUM
cana-3300	67	11	be	be	AUX
cana-3300	67	12	the	the	DET
cana-3300	67	13	n	n	NOUN
cana-3300	67	14	-	-	PUNCT
cana-3300	67	15	sites	site	NOUN
cana-3300	67	16	in	in	ADP
cana-3300	67	17	the	the	DET
cana-3300	67	18	study	study	NOUN
cana-3300	67	19	region	region	NOUN
cana-3300	67	20	s	s	VERB
cana-3300	67	21	which	which	PRON
cana-3300	67	22	forms	form	VERB
cana-3300	67	23	a	a	DET
cana-3300	67	24	regular	regular	ADJ
cana-3300	67	25	or	or	CCONJ
cana-3300	67	26	irregular	irregular	ADJ
cana-3300	67	27	spatial	spatial	ADJ
cana-3300	67	28	lattice	lattice	NOUN
cana-3300	67	29	.	.	PUNCT
cana-3300	68	1	let	let	VERB
cana-3300	68	2	iz	iz	INTJ
cana-3300	68	3	and	and	CCONJ
cana-3300	68	4	(	(	PUNCT
cana-3300	68	5	)	)	PUNCT
cana-3300	68	6	tikiii	tikiii	NOUN
cana-3300	68	7	xxxx	xxxx	NOUN
cana-3300	68	8	.....	.....	PUNCT
cana-3300	68	9	,	,	PUNCT
cana-3300	68	10	,	,	PUNCT
cana-3300	68	11	,	,	PUNCT
cana-3300	68	12	10=	10=	NUM
cana-3300	68	13	be	be	AUX
cana-3300	68	14	respectively	respectively	ADV
cana-3300	68	15	the	the	DET
cana-3300	68	16	response	response	NOUN
cana-3300	68	17	and	and	CCONJ
cana-3300	68	18	explanatory	explanatory	ADJ
cana-3300	68	19	variables	variable	NOUN
cana-3300	68	20	observed	observe	VERB
cana-3300	68	21	at	at	ADP
cana-3300	68	22	each	each	PRON
cana-3300	68	23	of	of	ADP
cana-3300	68	24	the	the	DET
cana-3300	68	25	site	site	NOUN
cana-3300	68	26	nissi	nissi	NOUN
cana-3300	68	27	,	,	PUNCT
cana-3300	68	28	.....	.....	PROPN
cana-3300	68	29	3,2,1	3,2,1	NUM
cana-3300	68	30	;	;	PUNCT
cana-3300	68	31	=	=	SYM
cana-3300	68	32			NOUN
cana-3300	68	33	.	.	PUNCT
cana-3300	69	1	haining	haining	PROPN
cana-3300	69	2	(	(	PUNCT
cana-3300	69	3	1978	1978	NUM
cana-3300	69	4	)	)	PUNCT
cana-3300	69	5	defined	define	VERB
cana-3300	69	6	spatial	spatial	ADJ
cana-3300	69	7	moving	move	VERB
cana-3300	69	8	average	average	ADJ
cana-3300	69	9	(	(	PUNCT
cana-3300	69	10	sma	sma	NOUN
cana-3300	69	11	)	)	PUNCT
cana-3300	69	12	model	model	NOUN
cana-3300	69	13	as	as	ADP
cana-3300	69	14	:	:	PUNCT
cana-3300	69	15	(	(	PUNCT
cana-3300	69	16	)	)	PUNCT
cana-3300	69	17	εβz	εβz	PROPN
cana-3300	69	18	11wix	11wix	PROPN
cana-3300	69	19	++=	++=	PROPN
cana-3300	69	20	(	(	PUNCT
cana-3300	69	21	2.1	2.1	NUM
cana-3300	69	22	)	)	PUNCT
cana-3300	69	23	where	where	SCONJ
cana-3300	69	24	(	(	PUNCT
cana-3300	69	25	)	)	PUNCT
cana-3300	69	26	in	in	ADP
cana-3300	69	27	2,0~	2,0~	NUM
cana-3300	69	28			PROPN
cana-3300	69	29	;	;	PUNCT
cana-3300	69	30	(	(	PUNCT
cana-3300	69	31	)	)	PUNCT
cana-3300	69	32	k	k	INTJ
cana-3300	69	33	,	,	PUNCT
cana-3300	69	34	....	....	PUNCT
cana-3300	69	35	,	,	PUNCT
cana-3300	69	36	,	,	PUNCT
cana-3300	69	37	10=	10=	NUM
cana-3300	69	38	is	be	AUX
cana-3300	69	39	a	a	DET
cana-3300	69	40	vector	vector	NOUN
cana-3300	69	41	of	of	ADP
cana-3300	69	42	regression	regression	NOUN
cana-3300	69	43	parameters	parameter	NOUN
cana-3300	69	44	,	,	PUNCT
cana-3300	69	45	1	1	PROPN
cana-3300	69	46	is	be	AUX
cana-3300	69	47	the	the	DET
cana-3300	69	48	unknown	unknown	ADJ
cana-3300	69	49	scalar	scalar	ADJ
cana-3300	69	50	spatial	spatial	ADJ
cana-3300	69	51	dependence	dependence	NOUN
cana-3300	69	52	parameter	parameter	NOUN
cana-3300	69	53	associated	associate	VERB
cana-3300	69	54	with	with	ADP
cana-3300	69	55	the	the	DET
cana-3300	69	56	first	first	ADJ
cana-3300	69	57	order	order	NOUN
cana-3300	69	58	neighbors	neighbor	NOUN
cana-3300	69	59	and	and	CCONJ
cana-3300	69	60	1w	1w	NUM
cana-3300	69	61	is	be	AUX
cana-3300	69	62	a	a	DET
cana-3300	69	63	symmetric	symmetric	ADJ
cana-3300	69	64	contiguity	contiguity	NOUN
cana-3300	69	65	matrix	matrix	NOUN
cana-3300	69	66	of	of	ADP
cana-3300	69	67	first	first	ADJ
cana-3300	69	68	order	order	NOUN
cana-3300	69	69	neighbors	neighbor	NOUN
cana-3300	69	70	with	with	ADP
cana-3300	69	71	elements	element	NOUN
cana-3300	69	72	1	1	NUM
cana-3300	69	73	ijw	ijw	NOUN
cana-3300	69	74	defined	define	VERB
cana-3300	69	75	as	as	ADP
cana-3300	69	76	:	:	PUNCT
cana-3300	69	77			NUM
cana-3300	69	78			NUM
cana-3300	69	79			PROPN
cana-3300	69	80			PROPN
cana-3300	69	81			NOUN
cana-3300	69	82			NUM
cana-3300	69	83			NUM
cana-3300	69	84			ADP
cana-3300	70	1	=	=	PUNCT
cana-3300	71	1	=	=	PUNCT
cana-3300	71	2	ji	ji	X
cana-3300	71	3	ji	ji	PROPN
cana-3300	72	1	ij	ij	INTJ
cana-3300	72	2	ssifandotherwise	ssifandotherwise	ADJ
cana-3300	72	3	neighborsorderfirstaresandsif	neighborsorderfirstaresandsif	NOUN
cana-3300	72	4	w	w	PROPN
cana-3300	72	5	,	,	PUNCT
cana-3300	72	6	0	0	NUM
cana-3300	72	7	1	1	NUM
cana-3300	72	8	1	1	NUM
cana-3300	72	9	(	(	PUNCT
cana-3300	72	10	2.2	2.2	NUM
cana-3300	72	11	)	)	PUNCT
cana-3300	72	12	2.1.second	2.1.second	NUM
cana-3300	72	13	order	order	NOUN
cana-3300	72	14	sma	sma	NOUN
cana-3300	72	15	polynomial	polynomial	ADJ
cana-3300	72	16	under	under	ADP
cana-3300	72	17	the	the	DET
cana-3300	72	18	same	same	ADJ
cana-3300	72	19	notations	notation	NOUN
cana-3300	72	20	as	as	SCONJ
cana-3300	72	21	mentioned	mention	VERB
cana-3300	72	22	above	above	ADV
cana-3300	72	23	,	,	PUNCT
cana-3300	72	24	the	the	DET
cana-3300	72	25	second	second	ADJ
cana-3300	72	26	order	order	NOUN
cana-3300	72	27	sma	sma	NOUN
cana-3300	72	28	polynomial	polynomial	ADJ
cana-3300	72	29	may	may	AUX
cana-3300	72	30	be	be	AUX
cana-3300	72	31	defined	define	VERB
cana-3300	72	32	as	as	ADP
cana-3300	72	33	:	:	PUNCT
cana-3300	72	34	communications	communication	NOUN
cana-3300	72	35	on	on	ADP
cana-3300	72	36	applied	apply	VERB
cana-3300	72	37	nonlinear	nonlinear	ADJ
cana-3300	72	38	analysis	analysis	NOUN
cana-3300	72	39	issn	issn	NOUN
cana-3300	72	40	:	:	PUNCT
cana-3300	72	41	1074	1074	NUM
cana-3300	72	42	-	-	PUNCT
cana-3300	72	43	133x	133x	NUM
cana-3300	72	44	vol	vol	NOUN
cana-3300	72	45	32	32	NUM
cana-3300	72	46	no	no	NOUN
cana-3300	72	47	.	.	PUNCT
cana-3300	73	1	6s	6s	NUM
cana-3300	73	2	(	(	PUNCT
cana-3300	73	3	2025	2025	NUM
cana-3300	73	4	)	)	PUNCT
cana-3300	73	5	343	343	NUM
cana-3300	73	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3300	73	7	(	(	PUNCT
cana-3300	73	8	)	)	PUNCT
cana-3300	73	9	(	(	PUNCT
cana-3300	73	10	)	)	PUNCT
cana-3300	73	11	εβz	εβz	PROPN
cana-3300	73	12	2211	2211	NUM
cana-3300	73	13	wiwix	wiwix	NOUN
cana-3300	73	14			PUNCT
cana-3300	74	1	+	+	PROPN
cana-3300	74	2	+	+	ADJ
cana-3300	74	3	+	+	NOUN
cana-3300	74	4	=	=	X
cana-3300	74	5	(	(	PUNCT
cana-3300	74	6	2.3	2.3	NUM
cana-3300	74	7	)	)	PUNCT
cana-3300	74	8	where	where	SCONJ
cana-3300	74	9	(	(	PUNCT
cana-3300	74	10	)	)	PUNCT
cana-3300	74	11	in	in	ADP
cana-3300	74	12	2,0~	2,0~	NUM
cana-3300	74	13			PROPN
cana-3300	74	14	;	;	PUNCT
cana-3300	74	15	2	2	NOUN
cana-3300	74	16	is	be	AUX
cana-3300	74	17	the	the	DET
cana-3300	74	18	unknown	unknown	ADJ
cana-3300	74	19	scalar	scalar	ADJ
cana-3300	74	20	spatial	spatial	ADJ
cana-3300	74	21	dependence	dependence	NOUN
cana-3300	74	22	parameter	parameter	NOUN
cana-3300	74	23	associated	associate	VERB
cana-3300	74	24	with	with	ADP
cana-3300	74	25	the	the	DET
cana-3300	74	26	second	second	ADJ
cana-3300	74	27	order	order	NOUN
cana-3300	74	28	neighbors	neighbor	NOUN
cana-3300	74	29	and	and	CCONJ
cana-3300	74	30	2w	2w	NUM
cana-3300	74	31	is	be	AUX
cana-3300	74	32	a	a	DET
cana-3300	74	33	symmetric	symmetric	ADJ
cana-3300	74	34	contiguity	contiguity	NOUN
cana-3300	74	35	neighborhood	neighborhood	NOUN
cana-3300	74	36	matrix	matrix	NOUN
cana-3300	74	37	of	of	ADP
cana-3300	74	38	second	second	ADJ
cana-3300	74	39	order	order	NOUN
cana-3300	74	40	neighbors	neighbor	NOUN
cana-3300	74	41	with	with	ADP
cana-3300	74	42	elements	element	NOUN
cana-3300	74	43	2	2	NUM
cana-3300	74	44	ijw	ijw	NOUN
cana-3300	74	45	defined	define	VERB
cana-3300	74	46	as	as	ADP
cana-3300	74	47	:	:	PUNCT
cana-3300	74	48			NUM
cana-3300	74	49			NUM
cana-3300	74	50			PROPN
cana-3300	74	51			PROPN
cana-3300	74	52			NOUN
cana-3300	74	53			NUM
cana-3300	74	54			NUM
cana-3300	74	55			ADP
cana-3300	74	56	=	=	PUNCT
cana-3300	75	1	=	=	PUNCT
cana-3300	75	2	ji	ji	X
cana-3300	75	3	ji	ji	PROPN
cana-3300	75	4	ij	ij	VERB
cana-3300	75	5	ssifandotherwise	ssifandotherwise	PROPN
cana-3300	75	6	neighborsorderondaresandsif	neighborsorderondaresandsif	PROPN
cana-3300	75	7	w	w	PROPN
cana-3300	75	8	,	,	PUNCT
cana-3300	75	9	0	0	NUM
cana-3300	75	10	sec1	sec1	PROPN
cana-3300	75	11	2	2	NUM
cana-3300	75	12	(	(	PUNCT
cana-3300	75	13	2.4	2.4	NUM
cana-3300	75	14	)	)	PUNCT
cana-3300	75	15	the	the	DET
cana-3300	75	16	probability	probability	NOUN
cana-3300	75	17	density	density	NOUN
cana-3300	75	18	function	function	NOUN
cana-3300	75	19	of	of	ADP
cana-3300	75	20	ε	ε	PROPN
cana-3300	75	21	,	,	PUNCT
cana-3300	75	22	takes	take	VERB
cana-3300	75	23	the	the	DET
cana-3300	75	24	form	form	NOUN
cana-3300	75	25	,	,	PUNCT
cana-3300	75	26	𝑓(휀/0	𝑓(휀/0	NOUN
cana-3300	75	27	,	,	PUNCT
cana-3300	75	28	𝜎2𝐼	𝜎2𝐼	NUM
cana-3300	75	29	)	)	PUNCT
cana-3300	75	30	=	=	PUNCT
cana-3300	76	1	𝑒	𝑒	PROPN
cana-3300	76	2	−	−	PROPN
cana-3300	76	3	𝑇	𝑇	PROPN
cana-3300	76	4	2𝜎2	2𝜎2	NUM
cana-3300	77	1	𝜎(2𝜋)𝑛/2	𝜎(2𝜋)𝑛/2	NOUN
cana-3300	77	2	=	=	PUNCT
cana-3300	77	3	𝑒	𝑒	PROPN
cana-3300	77	4	−	−	PROPN
cana-3300	78	1	[	[	X
cana-3300	78	2	(	(	PUNCT
cana-3300	78	3	𝐼+𝜃2𝑊2	𝐼+𝜃2𝑊2	PROPN
cana-3300	78	4	)	)	PUNCT
cana-3300	78	5	−1	−1	NOUN
cana-3300	78	6	(	(	PUNCT
cana-3300	78	7	𝐼+𝜃1𝑊1	𝐼+𝜃1𝑊1	PROPN
cana-3300	78	8	)	)	PUNCT
cana-3300	78	9	−1	−1	NOUN
cana-3300	78	10	(	(	PUNCT
cana-3300	78	11	𝑍−𝑋𝛽	𝑍−𝑋𝛽	NOUN
cana-3300	78	12	)	)	PUNCT
cana-3300	78	13	]	]	PUNCT
cana-3300	78	14	𝑇	𝑇	PROPN
cana-3300	79	1	[	[	X
cana-3300	79	2	(	(	PUNCT
cana-3300	79	3	𝐼+𝜃2𝑊2	𝐼+𝜃2𝑊2	PROPN
cana-3300	79	4	)	)	PUNCT
cana-3300	79	5	−1	−1	NOUN
cana-3300	79	6	(	(	PUNCT
cana-3300	79	7	𝐼+𝜃1𝑊1	𝐼+𝜃1𝑊1	PROPN
cana-3300	79	8	)	)	PUNCT
cana-3300	79	9	−1	−1	NOUN
cana-3300	79	10	(	(	PUNCT
cana-3300	79	11	𝑍−𝑋𝛽	𝑍−𝑋𝛽	NOUN
cana-3300	79	12	)	)	PUNCT
cana-3300	79	13	]	]	PUNCT
cana-3300	79	14	2𝜎2	2𝜎2	NUM
cana-3300	80	1	𝜎(2𝜋)𝑛/2	𝜎(2𝜋)𝑛/2	NUM
cana-3300	80	2	the	the	DET
cana-3300	80	3	corresponding	corresponding	ADJ
cana-3300	80	4	kernel	kernel	NOUN
cana-3300	80	5	is	be	AUX
cana-3300	80	6	,	,	PUNCT
cana-3300	80	7	𝐾(𝑍	𝐾(𝑍	NOUN
cana-3300	80	8	)	)	PUNCT
cana-3300	80	9	=	=	PUNCT
cana-3300	81	1	𝑒	𝑒	PROPN
cana-3300	81	2	−	−	PROPN
cana-3300	82	1	[	[	X
cana-3300	82	2	(	(	PUNCT
cana-3300	82	3	𝐼+𝜃2𝑊2)−1(𝐼+𝜃1𝑊1)−1(𝑍−𝑋𝛽	𝐼+𝜃2𝑊2)−1(𝐼+𝜃1𝑊1)−1(𝑍−𝑋𝛽	NOUN
cana-3300	82	4	)	)	PUNCT
cana-3300	82	5	]	]	PUNCT
cana-3300	83	1	𝑇	𝑇	PROPN
cana-3300	83	2	[	[	X
cana-3300	83	3	(	(	PUNCT
cana-3300	83	4	𝐼+𝜃2𝑊2)−1(𝐼+𝜃1𝑊1)−1(𝑍−𝑋𝛽	𝐼+𝜃2𝑊2)−1(𝐼+𝜃1𝑊1)−1(𝑍−𝑋𝛽	NOUN
cana-3300	83	5	)	)	PUNCT
cana-3300	83	6	]	]	PUNCT
cana-3300	83	7	2𝜎2	2𝜎2	NUM
cana-3300	83	8	normalizing	normalizing	ADJ
cana-3300	83	9	constant	constant	ADJ
cana-3300	83	10	can	can	AUX
cana-3300	83	11	be	be	AUX
cana-3300	83	12	obtained	obtain	VERB
cana-3300	83	13	as	as	ADP
cana-3300	83	14	;	;	PUNCT
cana-3300	83	15	∫	∫	PROPN
cana-3300	83	16	𝐾(𝑍)𝑑𝑍	𝐾(𝑍)𝑑𝑍	PROPN
cana-3300	84	1	=	=	NOUN
cana-3300	84	2	∫	∫	PROPN
cana-3300	84	3	𝑒	𝑒	PROPN
cana-3300	85	1	−	−	PROPN
cana-3300	85	2	[	[	X
cana-3300	85	3	(	(	PUNCT
cana-3300	85	4	𝐼+𝜃2𝑊2)−1(𝐼+𝜃1𝑊1)−1(𝑍−𝑋𝛽	𝐼+𝜃2𝑊2)−1(𝐼+𝜃1𝑊1)−1(𝑍−𝑋𝛽	NOUN
cana-3300	85	5	)	)	PUNCT
cana-3300	85	6	]	]	PUNCT
cana-3300	86	1	𝑇	𝑇	PROPN
cana-3300	86	2	[	[	X
cana-3300	86	3	(	(	PUNCT
cana-3300	86	4	𝐼+𝜃2𝑊2)−1(𝐼+𝜃1𝑊1)−1(𝑍−𝑋𝛽	𝐼+𝜃2𝑊2)−1(𝐼+𝜃1𝑊1)−1(𝑍−𝑋𝛽	NOUN
cana-3300	86	5	)	)	PUNCT
cana-3300	86	6	]	]	PUNCT
cana-3300	86	7	2𝜎2	2𝜎2	NUM
cana-3300	86	8	let	let	VERB
cana-3300	86	9	,	,	PUNCT
cana-3300	86	10	(	(	PUNCT
cana-3300	86	11	𝐼	𝐼	PROPN
cana-3300	86	12	+	+	X
cana-3300	86	13	𝜃2𝑊2)−1(𝐼	𝜃2𝑊2)−1(𝐼	ADJ
cana-3300	86	14	+	+	CCONJ
cana-3300	86	15	𝜃1𝑊1)−1(𝑍	𝜃1𝑊1)−1(𝑍	NOUN
cana-3300	86	16	−	−	NOUN
cana-3300	86	17	𝑋𝛽)𝜎−1	𝑋𝛽)𝜎−1	NOUN
cana-3300	86	18	=	=	SYM
cana-3300	86	19	𝑈	𝑈	NOUN
cana-3300	86	20	∴	∴	NOUN
cana-3300	86	21	𝑍	𝑍	PROPN
cana-3300	86	22	=	=	SYM
cana-3300	86	23	(	(	PUNCT
cana-3300	86	24	𝐼	𝐼	ADP
cana-3300	86	25	+	+	ADJ
cana-3300	86	26	𝜃1𝑊1)(𝐼	𝜃1𝑊1)(𝐼	NOUN
cana-3300	86	27	+	+	CCONJ
cana-3300	86	28	𝜃2𝑊2)𝜎𝑈	𝜃2𝑊2)𝜎𝑈	NOUN
cana-3300	87	1	+	+	CCONJ
cana-3300	87	2	𝑋𝛽	𝑋𝛽	ADP
cana-3300	87	3	the	the	DET
cana-3300	87	4	differential	differential	NOUN
cana-3300	87	5	of	of	ADP
cana-3300	87	6	z	z	NOUN
cana-3300	87	7	with	with	ADP
cana-3300	87	8	respect	respect	NOUN
cana-3300	87	9	to	to	ADP
cana-3300	87	10	u	u	PRON
cana-3300	87	11	is	be	AUX
cana-3300	87	12	𝜎|(𝐼	𝜎|(𝐼	INTJ
cana-3300	87	13	+	+	NOUN
cana-3300	87	14	𝜃1𝑊1)(𝐼	𝜃1𝑊1)(𝐼	NOUN
cana-3300	87	15	+	+	CCONJ
cana-3300	87	16	𝜃2𝑊2)|	𝜃2𝑊2)|	PROPN
cana-3300	87	17	∴	∴	PROPN
cana-3300	87	18	∫	∫	PROPN
cana-3300	88	1	𝐾(𝑍)𝑑𝑍	𝐾(𝑍)𝑑𝑍	PROPN
cana-3300	89	1	=	=	NOUN
cana-3300	89	2	∫	∫	PROPN
cana-3300	89	3	𝑒	𝑒	PROPN
cana-3300	89	4	−	−	PROPN
cana-3300	89	5	𝑈𝑇𝑈	𝑈𝑇𝑈	PROPN
cana-3300	89	6	2	2	NUM
cana-3300	89	7	(	(	PUNCT
cana-3300	89	8	2𝜋)𝑛/2	2𝜋)𝑛/2	NUM
cana-3300	89	9	×	×	VERB
cana-3300	89	10	𝜎|(𝐼	𝜎|(𝐼	INTJ
cana-3300	89	11	+	+	NOUN
cana-3300	89	12	𝜃1𝑊1)(𝐼	𝜃1𝑊1)(𝐼	NOUN
cana-3300	89	13	+	+	CCONJ
cana-3300	89	14	𝜃2𝑊2)|(2𝜋)𝑛/2𝑑𝑈	𝜃2𝑊2)|(2𝜋)𝑛/2𝑑𝑈	NOUN
cana-3300	89	15	=	=	SYM
cana-3300	89	16	𝜎(2𝜋)𝑛/2|(𝐼	𝜎(2𝜋)𝑛/2|(𝐼	NOUN
cana-3300	89	17	+	+	NUM
cana-3300	89	18	𝜃1𝑊1)(𝐼	𝜃1𝑊1)(𝐼	NOUN
cana-3300	89	19	+	+	CCONJ
cana-3300	89	20	𝜃2𝑊2)|	𝜃2𝑊2)|	PROPN
cana-3300	89	21	(	(	PUNCT
cana-3300	89	22	2.5	2.5	NUM
cana-3300	89	23	)	)	PUNCT
cana-3300	89	24	equation	equation	NOUN
cana-3300	89	25	(	(	PUNCT
cana-3300	89	26	2.5	2.5	NUM
cana-3300	89	27	)	)	PUNCT
cana-3300	89	28	gives	give	VERB
cana-3300	89	29	the	the	DET
cana-3300	89	30	normalizing	normalize	VERB
cana-3300	89	31	constant	constant	NOUN
cana-3300	89	32	for	for	ADP
cana-3300	89	33	the	the	DET
cana-3300	89	34	joint	joint	ADJ
cana-3300	89	35	distribution	distribution	NOUN
cana-3300	89	36	of	of	ADP
cana-3300	89	37	z	z	NOUN
cana-3300	89	38	as	as	ADP
cana-3300	89	39	,	,	PUNCT
cana-3300	89	40	𝜎(2𝜋)𝑛/2|(𝐼	𝜎(2𝜋)𝑛/2|(𝐼	PROPN
cana-3300	89	41	+	+	CCONJ
cana-3300	89	42	𝜃1𝑊1	𝜃1𝑊1	NUM
cana-3300	89	43	)	)	PUNCT
cana-3300	89	44	(	(	PUNCT
cana-3300	89	45	𝐼	𝐼	PROPN
cana-3300	89	46	+	+	PROPN
cana-3300	89	47	𝜃2𝑊2)|	𝜃2𝑊2)|	PROPN
cana-3300	89	48	.	.	PUNCT
cana-3300	90	1	if	if	SCONJ
cana-3300	90	2	(	(	PUNCT
cana-3300	90	3	)	)	PUNCT
cana-3300	90	4	11wi	11wi	NOUN
cana-3300	90	5	+	+	NOUN
cana-3300	90	6	and	and	CCONJ
cana-3300	90	7	(	(	PUNCT
cana-3300	90	8	)	)	PUNCT
cana-3300	90	9	22wi	22wi	NOUN
cana-3300	90	10	+	+	NOUN
cana-3300	90	11	is	be	AUX
cana-3300	90	12	a	a	DET
cana-3300	90	13	full	full	ADJ
cana-3300	90	14	rank	rank	NOUN
cana-3300	90	15	matrix	matrix	NOUN
cana-3300	90	16	then	then	ADV
cana-3300	90	17	the	the	DET
cana-3300	90	18	induced	induced	ADJ
cana-3300	90	19	joint	joint	ADJ
cana-3300	90	20	density	density	NOUN
cana-3300	90	21	function	function	NOUN
cana-3300	90	22	of	of	ADP
cana-3300	90	23	z	z	NOUN
cana-3300	90	24	takes	take	VERB
cana-3300	90	25	the	the	DET
cana-3300	90	26	form	form	NOUN
cana-3300	90	27	;	;	PUNCT
cana-3300	90	28	𝑓(𝑍	𝑓(𝑍	PROPN
cana-3300	90	29	)	)	PUNCT
cana-3300	90	30	=	=	PUNCT
cana-3300	91	1	1	1	NUM
cana-3300	91	2	𝜎(2𝜋)𝑛/2|(𝐼	𝜎(2𝜋)𝑛/2|(𝐼	NUM
cana-3300	91	3	+	+	NUM
cana-3300	91	4	𝜃1𝑊1)(𝐼	𝜃1𝑊1)(𝐼	NOUN
cana-3300	91	5	+	+	CCONJ
cana-3300	91	6	𝜃2𝑊2)|	𝜃2𝑊2)|	PROPN
cana-3300	91	7	×	×	NOUN
cana-3300	91	8	exp	exp	NOUN
cana-3300	91	9	{	{	PUNCT
cana-3300	91	10	−	−	PROPN
cana-3300	92	1	[	[	X
cana-3300	92	2	(	(	PUNCT
cana-3300	92	3	𝐼+𝜃2𝑊2)−1(𝐼+𝜃1𝑊1)−1(𝑍−𝑋𝛽	𝐼+𝜃2𝑊2)−1(𝐼+𝜃1𝑊1)−1(𝑍−𝑋𝛽	NOUN
cana-3300	92	4	)	)	PUNCT
cana-3300	92	5	]	]	PUNCT
cana-3300	93	1	𝑇	𝑇	PROPN
cana-3300	93	2	[	[	X
cana-3300	93	3	(	(	PUNCT
cana-3300	93	4	𝐼+𝜃2𝑊2)−1(𝐼+𝜃1𝑊1)−1(𝑍−𝑋𝛽	𝐼+𝜃2𝑊2)−1(𝐼+𝜃1𝑊1)−1(𝑍−𝑋𝛽	NOUN
cana-3300	93	5	)	)	PUNCT
cana-3300	93	6	]	]	PUNCT
cana-3300	93	7	2𝜎2	2𝜎2	NUM
cana-3300	93	8	}	}	PUNCT
cana-3300	93	9	(	(	PUNCT
cana-3300	93	10	2.6	2.6	NUM
cana-3300	93	11	)	)	PUNCT
cana-3300	93	12	communications	communication	NOUN
cana-3300	93	13	on	on	ADP
cana-3300	93	14	applied	apply	VERB
cana-3300	93	15	nonlinear	nonlinear	ADJ
cana-3300	93	16	analysis	analysis	NOUN
cana-3300	93	17	issn	issn	NOUN
cana-3300	93	18	:	:	PUNCT
cana-3300	93	19	1074	1074	NUM
cana-3300	93	20	-	-	PUNCT
cana-3300	93	21	133x	133x	NUM
cana-3300	93	22	vol	vol	NOUN
cana-3300	93	23	32	32	NUM
cana-3300	93	24	no	no	NOUN
cana-3300	93	25	.	.	PUNCT
cana-3300	94	1	6s	6s	NUM
cana-3300	94	2	(	(	PUNCT
cana-3300	94	3	2025	2025	NUM
cana-3300	94	4	)	)	PUNCT
cana-3300	95	1	344	344	NUM
cana-3300	95	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-3300	95	3	equation	equation	NOUN
cana-3300	95	4	(	(	PUNCT
cana-3300	95	5	2.6	2.6	NUM
cana-3300	95	6	)	)	PUNCT
cana-3300	95	7	gives	give	VERB
cana-3300	95	8	the	the	DET
cana-3300	95	9	required	require	VERB
cana-3300	95	10	joint	joint	ADJ
cana-3300	95	11	probability	probability	NOUN
cana-3300	95	12	density	density	NOUN
cana-3300	95	13	function	function	NOUN
cana-3300	95	14	under	under	ADP
cana-3300	95	15	the	the	DET
cana-3300	95	16	proposed	propose	VERB
cana-3300	95	17	second	second	ADJ
cana-3300	95	18	order	order	NOUN
cana-3300	95	19	sma	sma	NOUN
cana-3300	95	20	polynomial	polynomial	ADJ
cana-3300	95	21	.	.	PUNCT
cana-3300	96	1	let	let	VERB
cana-3300	96	2	the	the	DET
cana-3300	96	3	distribution	distribution	NOUN
cana-3300	96	4	be	be	AUX
cana-3300	96	5	denoted	denote	VERB
cana-3300	96	6	henceforth	henceforth	ADV
cana-3300	96	7	as	as	ADP
cana-3300	96	8	;	;	PUNCT
cana-3300	96	9	𝑍~2	𝑍~2	NOUN
cana-3300	96	10	𝑛𝑑	𝑛𝑑	ADP
cana-3300	96	11	−	−	PROPN
cana-3300	96	12	𝑜𝑟𝑑𝑒𝑟	𝑜𝑟𝑑𝑒𝑟	NOUN
cana-3300	96	13	−	−	NOUN
cana-3300	97	1	𝑆𝑀𝐴	𝑆𝑀𝐴	NOUN
cana-3300	97	2	−	−	PROPN
cana-3300	97	3	𝑝𝑜𝑙𝑦𝑛𝑜𝑚𝑖𝑎𝑙	𝑝𝑜𝑙𝑦𝑛𝑜𝑚𝑖𝑎𝑙	ADJ
cana-3300	97	4	(	(	PUNCT
cana-3300	97	5	𝛽	𝛽	NOUN
cana-3300	97	6	,	,	PUNCT
cana-3300	97	7	𝜎2	𝜎2	NOUN
cana-3300	97	8	,	,	PUNCT
cana-3300	97	9	𝜃1	𝜃1	NOUN
cana-3300	97	10	,	,	PUNCT
cana-3300	97	11	𝜃2	𝜃2	PROPN
cana-3300	97	12	)	)	PUNCT
cana-3300	97	13	2.2.characteristic	2.2.characteristic	NUM
cana-3300	97	14	function	function	NOUN
cana-3300	97	15	and	and	CCONJ
cana-3300	97	16	moments	moment	NOUN
cana-3300	97	17	:	:	PUNCT
cana-3300	97	18	the	the	DET
cana-3300	97	19	derivation	derivation	NOUN
cana-3300	97	20	of	of	ADP
cana-3300	97	21	the	the	DET
cana-3300	97	22	characteristic	characteristic	ADJ
cana-3300	97	23	function	function	NOUN
cana-3300	97	24	and	and	CCONJ
cana-3300	97	25	the	the	DET
cana-3300	97	26	corresponding	correspond	VERB
cana-3300	97	27	moments	moment	NOUN
cana-3300	97	28	of	of	ADP
cana-3300	97	29	the	the	DET
cana-3300	97	30	response	response	NOUN
cana-3300	97	31	vector	vector	NOUN
cana-3300	97	32	‘	'	PUNCT
cana-3300	97	33	z	z	NOUN
cana-3300	97	34	’	'	PUNCT
cana-3300	97	35	is	be	AUX
cana-3300	97	36	given	give	VERB
cana-3300	97	37	in	in	ADP
cana-3300	97	38	appendix	appendix	ADJ
cana-3300	97	39	a.	a.	NOUN
cana-3300	97	40	the	the	DET
cana-3300	97	41	obtained	obtain	VERB
cana-3300	97	42	characteristic	characteristic	ADJ
cana-3300	97	43	function	function	NOUN
cana-3300	97	44	is	be	AUX
cana-3300	97	45	:	:	PUNCT
cana-3300	97	46	ψ𝑍(𝑡	ψ𝑍(𝑡	NUM
cana-3300	97	47	)	)	PUNCT
cana-3300	98	1	=	=	SYM
cana-3300	98	2	𝑒𝑖𝑡𝑇𝑋𝛽−	𝑒𝑖𝑡𝑇𝑋𝛽−	PROPN
cana-3300	98	3	𝑡𝑇𝜔𝑡	𝑡𝑇𝜔𝑡	PROPN
cana-3300	98	4	2	2	NUM
cana-3300	98	5	(	(	PUNCT
cana-3300	98	6	2.7	2.7	NUM
cana-3300	98	7	)	)	PUNCT
cana-3300	98	8	where	where	SCONJ
cana-3300	98	9	𝜔	𝜔	ADP
cana-3300	98	10	=	=	NOUN
cana-3300	98	11	𝜎2(𝐼	𝜎2(𝐼	NOUN
cana-3300	98	12	+	+	NOUN
cana-3300	98	13	𝜃1𝑊1)(𝐼	𝜃1𝑊1)(𝐼	NOUN
cana-3300	98	14	+	+	SYM
cana-3300	98	15	𝜃2𝑊2)(𝐼	𝜃2𝑊2)(𝐼	NOUN
cana-3300	98	16	+	+	CCONJ
cana-3300	98	17	𝜃2𝑊2)𝑇(𝐼	𝜃2𝑊2)𝑇(𝐼	PUNCT
cana-3300	98	18	+	+	CCONJ
cana-3300	98	19	𝜃1𝑊1)𝑇	𝜃1𝑊1)𝑇	PUNCT
cana-3300	98	20	and	and	CCONJ
cana-3300	98	21	the	the	DET
cana-3300	98	22	derived	derived	ADJ
cana-3300	98	23	mean	mean	NOUN
cana-3300	98	24	vector	vector	NOUN
cana-3300	98	25	and	and	CCONJ
cana-3300	98	26	variance	variance	NOUN
cana-3300	98	27	-	-	PUNCT
cana-3300	98	28	covariance	covariance	NOUN
cana-3300	98	29	matrix	matrix	NOUN
cana-3300	98	30	of	of	ADP
cana-3300	98	31	‘	'	PUNCT
cana-3300	98	32	z	z	NOUN
cana-3300	98	33	’	'	PUNCT
cana-3300	98	34	is	be	AUX
cana-3300	98	35	:	:	PUNCT
cana-3300	98	36	𝐸(𝑍	𝐸(𝑍	VERB
cana-3300	98	37	)	)	PUNCT
cana-3300	98	38	=	=	SYM
cana-3300	99	1	𝑋𝛽	𝑋𝛽	PROPN
cana-3300	99	2	and	and	CCONJ
cana-3300	99	3	,	,	PUNCT
cana-3300	99	4	𝐶𝑜𝑣	𝐶𝑜𝑣	PROPN
cana-3300	99	5	(	(	PUNCT
cana-3300	99	6	𝑍	𝑍	PROPN
cana-3300	99	7	)	)	PUNCT
cana-3300	99	8	=	=	SYM
cana-3300	99	9	𝜎2(𝐼	𝜎2(𝐼	NOUN
cana-3300	99	10	+	+	CCONJ
cana-3300	99	11	𝜃1𝑊1)(𝐼	𝜃1𝑊1)(𝐼	NOUN
cana-3300	99	12	+	+	SYM
cana-3300	99	13	𝜃2𝑊2)(𝐼	𝜃2𝑊2)(𝐼	NOUN
cana-3300	99	14	+	+	CCONJ
cana-3300	99	15	𝜃2𝑊2)𝑇(𝐼	𝜃2𝑊2)𝑇(𝐼	PUNCT
cana-3300	99	16	+	+	CCONJ
cana-3300	99	17	𝜃1𝑊1)𝑇	𝜃1𝑊1)𝑇	SYM
cana-3300	99	18	3	3	X
cana-3300	99	19	.	.	PUNCT
cana-3300	99	20	likelihood	likelihood	NOUN
cana-3300	99	21	function	function	NOUN
cana-3300	99	22	and	and	CCONJ
cana-3300	99	23	maximum	maximum	ADJ
cana-3300	99	24	likelihood	likelihood	NOUN
cana-3300	99	25	(	(	PUNCT
cana-3300	99	26	ml	ml	AUX
cana-3300	99	27	)	)	PUNCT
cana-3300	99	28	estimate	estimate	VERB
cana-3300	99	29	the	the	DET
cana-3300	99	30	loglikelihood	loglikelihood	ADJ
cana-3300	99	31	function	function	NOUN
cana-3300	99	32	of	of	ADP
cana-3300	99	33	second	second	ADJ
cana-3300	99	34	order	order	NOUN
cana-3300	99	35	sma	sma	NOUN
cana-3300	99	36	polynomial	polynomial	ADJ
cana-3300	99	37	is	be	AUX
cana-3300	99	38	:	:	PUNCT
cana-3300	99	39	(	(	PUNCT
cana-3300	99	40	)	)	PUNCT
cana-3300	99	41	(	(	PUNCT
cana-3300	99	42	)	)	PUNCT
cana-3300	99	43	(	(	PUNCT
cana-3300	99	44	)	)	PUNCT
cana-3300	99	45	(	(	PUNCT
cana-3300	99	46	)	)	PUNCT
cana-3300	99	47	(	(	PUNCT
cana-3300	99	48	)	)	PUNCT
cana-3300	99	49	(	(	PUNCT
cana-3300	99	50	)	)	PUNCT
cana-3300	99	51	(	(	PUNCT
cana-3300	99	52	)	)	PUNCT
cana-3300	99	53	(	(	PUNCT
cana-3300	99	54	)	)	PUNCT
cana-3300	99	55	(	(	PUNCT
cana-3300	99	56	)	)	PUNCT
cana-3300	99	57			PROPN
cana-3300	99	58			PROPN
cana-3300	99	59	(	(	PUNCT
cana-3300	99	60	)	)	PUNCT
cana-3300	99	61	(	(	PUNCT
cana-3300	99	62	)	)	PUNCT
cana-3300	99	63	(	(	PUNCT
cana-3300	99	64	)	)	PUNCT
cana-3300	99	65			PROPN
cana-3300	99	66			PROPN
cana-3300	99	67	)	)	PUNCT
cana-3300	99	68	1.3	1.3	NUM
cana-3300	99	69	(	(	PUNCT
cana-3300	99	70	2	2	NUM
cana-3300	99	71	1	1	NUM
cana-3300	99	72	loglog	loglog	NOUN
cana-3300	99	73	2	2	NUM
cana-3300	99	74	2log	2log	PROPN
cana-3300	99	75	2	2	NUM
cana-3300	99	76	/,,,log	/,,,log	SYM
cana-3300	99	77	1	1	NUM
cana-3300	99	78	11	11	NUM
cana-3300	99	79	1	1	NUM
cana-3300	99	80	22	22	NUM
cana-3300	99	81	1	1	NUM
cana-3300	99	82	11	11	NUM
cana-3300	99	83	1	1	NUM
cana-3300	99	84	222	222	NUM
cana-3300	99	85	2211	2211	NUM
cana-3300	99	86	2	2	NUM
cana-3300	99	87	21	21	NUM
cana-3300	99	88	2	2	NUM
cana-3300	99	89			NOUN
cana-3300	99	90			PROPN
cana-3300	99	91			PROPN
cana-3300	99	92	xzwiwixzwiwi	xzwiwixzwiwi	PROPN
cana-3300	99	93	wiwi	wiwi	PROPN
cana-3300	99	94	nn	nn	PROPN
cana-3300	99	95	zl	zl	PROPN
cana-3300	99	96	t	t	PROPN
cana-3300	99	97	−++−++−	−++−++−	PROPN
cana-3300	100	1	+	+	PROPN
cana-3300	100	2	+	+	ADJ
cana-3300	100	3	−−−=	−−−=	PROPN
cana-3300	100	4	−−−−	−−−−	NOUN
cana-3300	100	5	let	let	VERB
cana-3300	100	6	(	(	PUNCT
cana-3300	100	7	)	)	PUNCT
cana-3300	100	8	(	(	PUNCT
cana-3300	100	9	)	)	PUNCT
cana-3300	100	10	212211	212211	NUM
cana-3300	100	11	ggwiwig	ggwiwig	NOUN
cana-3300	100	12	=	=	PUNCT
cana-3300	100	13	+	+	PROPN
cana-3300	100	14	+	+	NOUN
cana-3300	100	15	=	=	X
cana-3300	100	16			ADJ
cana-3300	100	17	where	where	SCONJ
cana-3300	100	18	(	(	PUNCT
cana-3300	100	19	)	)	PUNCT
cana-3300	100	20	222111	222111	NUM
cana-3300	100	21	wigandwig	wigandwig	NOUN
cana-3300	100	22			PUNCT
cana-3300	101	1	+	+	PUNCT
cana-3300	101	2	=	=	ADJ
cana-3300	101	3	+	+	NOUN
cana-3300	101	4	=	=	X
cana-3300	101	5	then	then	ADV
cana-3300	101	6	,	,	PUNCT
cana-3300	101	7	the	the	DET
cana-3300	101	8	first	first	ADJ
cana-3300	101	9	partial	partial	ADJ
cana-3300	101	10	derivative	derivative	NOUN
cana-3300	101	11	of	of	ADP
cana-3300	101	12	(	(	PUNCT
cana-3300	101	13	3.1	3.1	NUM
cana-3300	101	14	)	)	PUNCT
cana-3300	101	15	w.r.t	w.r.t	VERB
cana-3300	101	16	the	the	DET
cana-3300	101	17	unknown	unknown	ADJ
cana-3300	101	18	parameters	parameter	NOUN
cana-3300	101	19	21	21	NUM
cana-3300	101	20	2	2	NUM
cana-3300	101	21	,	,	PUNCT
cana-3300	101	22	,	,	PUNCT
cana-3300	101	23	,	,	PUNCT
cana-3300	101	24			ADJ
cana-3300	101	25	respectively	respectively	ADV
cana-3300	101	26	is	be	AUX
cana-3300	101	27	,	,	PUNCT
cana-3300	101	28	(	(	PUNCT
cana-3300	101	29	)	)	PUNCT
cana-3300	101	30	(	(	PUNCT
cana-3300	101	31	)	)	PUNCT
cana-3300	102	1	(	(	PUNCT
cana-3300	102	2	)	)	PUNCT
cana-3300	102	3			PROPN
cana-3300	102	4			PROPN
cana-3300	102	5	xzggx	xzggx	PROPN
cana-3300	102	6	l	l	PROPN
cana-3300	102	7	tt	tt	PROPN
cana-3300	102	8	−=	−=	VERB
cana-3300	102	9			PROPN
cana-3300	102	10			PROPN
cana-3300	102	11	−−	−−	NOUN
cana-3300	102	12	11	11	NUM
cana-3300	102	13	2	2	NUM
cana-3300	102	14	1log	1log	NUM
cana-3300	102	15	(	(	PUNCT
cana-3300	102	16	3.2	3.2	NUM
cana-3300	102	17	)	)	PUNCT
cana-3300	102	18	(	(	PUNCT
cana-3300	102	19	)	)	PUNCT
cana-3300	102	20	(	(	PUNCT
cana-3300	102	21	)	)	PUNCT
cana-3300	102	22			ADJ
cana-3300	102	23			PROPN
cana-3300	102	24	(	(	PUNCT
cana-3300	102	25	)	)	PUNCT
cana-3300	102	26			PROPN
cana-3300	102	27			NOUN
cana-3300	102	28			PROPN
cana-3300	102	29	xzgxzg	xzgxzg	PROPN
cana-3300	103	1	nl	nl	PROPN
cana-3300	103	2	t	t	PROPN
cana-3300	103	3	−−+−=	−−+−=	PROPN
cana-3300	103	4			PROPN
cana-3300	103	5			PROPN
cana-3300	103	6	−−	−−	NOUN
cana-3300	103	7	11	11	NUM
cana-3300	103	8	422	422	NUM
cana-3300	103	9	2	2	NUM
cana-3300	103	10	1	1	NUM
cana-3300	103	11	2	2	NUM
cana-3300	103	12	log	log	NOUN
cana-3300	103	13	(	(	PUNCT
cana-3300	103	14	3.3	3.3	NUM
cana-3300	103	15	)	)	PUNCT
cana-3300	103	16	(	(	PUNCT
cana-3300	103	17	)	)	PUNCT
cana-3300	103	18	(	(	PUNCT
cana-3300	103	19	)	)	PUNCT
cana-3300	104	1	(	(	PUNCT
cana-3300	104	2	)	)	PUNCT
cana-3300	104	3	(	(	PUNCT
cana-3300	104	4	)	)	PUNCT
cana-3300	104	5	(	(	PUNCT
cana-3300	104	6	)	)	PUNCT
cana-3300	104	7	(	(	PUNCT
cana-3300	104	8	)	)	PUNCT
cana-3300	104	9			PROPN
cana-3300	104	10			PROPN
cana-3300	104	11	(	(	PUNCT
cana-3300	104	12	)	)	PUNCT
cana-3300	104	13	)	)	PUNCT
cana-3300	104	14	4.3	4.3	NUM
cana-3300	104	15	(	(	PUNCT
cana-3300	104	16	2	2	NUM
cana-3300	104	17	1log	1log	NUM
cana-3300	104	18	1	1	NUM
cana-3300	104	19	21	21	NUM
cana-3300	104	20	111	111	NUM
cana-3300	104	21	21	21	NUM
cana-3300	104	22	11	11	NUM
cana-3300	104	23	221	221	NUM
cana-3300	104	24	1	1	NUM
cana-3300	104	25	1	1	NUM
cana-3300	104	26			NOUN
cana-3300	104	27			PROPN
cana-3300	104	28	xzggwggggwggxzgwgtr	xzggwggggwggxzgwgtr	PROPN
cana-3300	104	29	l	l	PROPN
cana-3300	104	30	tttt	tttt	PROPN
cana-3300	104	31	−+−+−=	−+−+−=	PROPN
cana-3300	104	32			ADJ
cana-3300	104	33			PROPN
cana-3300	104	34	−−−−−−−	−−−−−−−	X
cana-3300	104	35	and	and	CCONJ
cana-3300	104	36	,	,	PUNCT
cana-3300	104	37	(	(	PUNCT
cana-3300	104	38	)	)	PUNCT
cana-3300	104	39	(	(	PUNCT
cana-3300	104	40	)	)	PUNCT
cana-3300	104	41	(	(	PUNCT
cana-3300	104	42	)	)	PUNCT
cana-3300	104	43	(	(	PUNCT
cana-3300	104	44	)	)	PUNCT
cana-3300	104	45	(	(	PUNCT
cana-3300	104	46	)	)	PUNCT
cana-3300	104	47	(	(	PUNCT
cana-3300	104	48	)	)	PUNCT
cana-3300	104	49			PROPN
cana-3300	104	50			PROPN
cana-3300	104	51	(	(	PUNCT
cana-3300	104	52	)	)	PUNCT
cana-3300	104	53	)	)	PUNCT
cana-3300	104	54	5.3	5.3	NUM
cana-3300	104	55	(	(	PUNCT
cana-3300	104	56	2	2	NUM
cana-3300	104	57	1log	1log	NUM
cana-3300	104	58	1	1	NUM
cana-3300	104	59	12	12	NUM
cana-3300	104	60	111	111	NUM
cana-3300	104	61	12	12	NUM
cana-3300	104	62	11	11	NUM
cana-3300	104	63	212	212	NUM
cana-3300	104	64	1	1	NUM
cana-3300	104	65	2	2	NUM
cana-3300	104	66			NOUN
cana-3300	104	67			PROPN
cana-3300	104	68	xzggwggggwggxzgwgtr	xzggwggggwggxzgwgtr	PROPN
cana-3300	104	69	l	l	PROPN
cana-3300	104	70	tttt	tttt	PROPN
cana-3300	104	71	−+−+−=	−+−+−=	PROPN
cana-3300	104	72			PROPN
cana-3300	104	73			PROPN
cana-3300	104	74	−−−−−−−	−−−−−−−	X
cana-3300	104	75	at	at	ADP
cana-3300	104	76	the	the	DET
cana-3300	104	77	maximum	maximum	NOUN
cana-3300	104	78	of	of	ADP
cana-3300	104	79	21	21	NUM
cana-3300	104	80	2	2	NUM
cana-3300	104	81	,	,	PUNCT
cana-3300	104	82	,	,	PUNCT
cana-3300	104	83	,	,	PUNCT
cana-3300	104	84			ADJ
cana-3300	104	85	respectively	respectively	ADV
cana-3300	104	86	,	,	PUNCT
cana-3300	104	87	the	the	DET
cana-3300	104	88	expected	expect	VERB
cana-3300	104	89	values	value	NOUN
cana-3300	104	90	of	of	ADP
cana-3300	104	91	partial	partial	ADJ
cana-3300	104	92	derivatives	derivative	NOUN
cana-3300	104	93	(	(	PUNCT
cana-3300	104	94	3.2	3.2	NUM
cana-3300	104	95	)	)	PUNCT
cana-3300	104	96	to	to	ADP
cana-3300	104	97	(	(	PUNCT
cana-3300	104	98	3.4	3.4	NUM
cana-3300	104	99	)	)	PUNCT
cana-3300	104	100	must	must	AUX
cana-3300	104	101	be	be	AUX
cana-3300	104	102	zero	zero	NUM
cana-3300	104	103	.	.	PUNCT
cana-3300	105	1	the	the	DET
cana-3300	105	2	proofs	proof	NOUN
cana-3300	105	3	for	for	ADP
cana-3300	105	4	the	the	DET
cana-3300	105	5	first	first	ADJ
cana-3300	105	6	two	two	NUM
cana-3300	105	7	are	be	AUX
cana-3300	105	8	familiar	familiar	ADJ
cana-3300	105	9	;	;	PUNCT
cana-3300	105	10	therefore	therefore	ADV
cana-3300	105	11	we	we	PRON
cana-3300	105	12	will	will	AUX
cana-3300	105	13	show	show	VERB
cana-3300	105	14	here	here	ADV
cana-3300	105	15	only	only	ADV
cana-3300	105	16	for	for	ADP
cana-3300	105	17	the	the	DET
cana-3300	105	18	two	two	NUM
cana-3300	105	19	spatial	spatial	ADJ
cana-3300	105	20	dependence	dependence	NOUN
cana-3300	105	21	parameters	parameter	NOUN
cana-3300	105	22	.	.	PUNCT
cana-3300	106	1	communications	communication	NOUN
cana-3300	106	2	on	on	ADP
cana-3300	106	3	applied	apply	VERB
cana-3300	106	4	nonlinear	nonlinear	ADJ
cana-3300	106	5	analysis	analysis	NOUN
cana-3300	106	6	issn	issn	NOUN
cana-3300	106	7	:	:	PUNCT
cana-3300	106	8	1074	1074	NUM
cana-3300	106	9	-	-	PUNCT
cana-3300	106	10	133x	133x	NUM
cana-3300	106	11	vol	vol	NOUN
cana-3300	106	12	32	32	NUM
cana-3300	106	13	no	no	NOUN
cana-3300	106	14	.	.	PUNCT
cana-3300	107	1	6s	6s	NUM
cana-3300	107	2	(	(	PUNCT
cana-3300	107	3	2025	2025	NUM
cana-3300	107	4	)	)	PUNCT
cana-3300	107	5	345	345	NUM
cana-3300	107	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3300	107	7	(	(	PUNCT
cana-3300	107	8	)	)	PUNCT
cana-3300	107	9	(	(	PUNCT
cana-3300	107	10	)	)	PUNCT
cana-3300	107	11	(	(	PUNCT
cana-3300	107	12	)	)	PUNCT
cana-3300	107	13			NOUN
cana-3300	107	14			PROPN
cana-3300	107	15	(	(	PUNCT
cana-3300	107	16	)	)	PUNCT
cana-3300	107	17	(	(	PUNCT
cana-3300	107	18	)	)	PUNCT
cana-3300	107	19	(	(	PUNCT
cana-3300	107	20	)	)	PUNCT
cana-3300	107	21	(	(	PUNCT
cana-3300	107	22	)	)	PUNCT
cana-3300	107	23	(	(	PUNCT
cana-3300	107	24	)	)	PUNCT
cana-3300	107	25	(	(	PUNCT
cana-3300	107	26	)	)	PUNCT
cana-3300	107	27	(	(	PUNCT
cana-3300	107	28	)	)	PUNCT
cana-3300	107	29	0	0	NUM
cana-3300	107	30	2	2	NUM
cana-3300	107	31	2	2	NUM
cana-3300	107	32	1log	1log	NUM
cana-3300	107	33	21	21	NUM
cana-3300	107	34	1	1	NUM
cana-3300	107	35	21	21	NUM
cana-3300	107	36	1	1	NUM
cana-3300	107	37	2	2	NUM
cana-3300	107	38	21	21	NUM
cana-3300	107	39	12	12	NUM
cana-3300	107	40	21	21	NUM
cana-3300	107	41	12	12	NUM
cana-3300	107	42	21	21	NUM
cana-3300	107	43	1	1	NUM
cana-3300	107	44	21	21	NUM
cana-3300	107	45	1	1	NUM
cana-3300	107	46	21	21	NUM
cana-3300	107	47	1	1	NUM
cana-3300	107	48	221	221	NUM
cana-3300	107	49	1	1	NUM
cana-3300	107	50	1	1	NUM
cana-3300	107	51	=	=	SYM
cana-3300	107	52	+	+	NOUN
cana-3300	107	53	−=	−=	NOUN
cana-3300	107	54	+	+	X
cana-3300	107	55	+	+	ADJ
cana-3300	107	56	−=	−=	ADJ
cana-3300	107	57	+	+	ADJ
cana-3300	107	58	+	+	ADJ
cana-3300	107	59	−=	−=	NOUN
cana-3300	107	60			PROPN
cana-3300	107	61			X
cana-3300	107	62			NOUN
cana-3300	107	63			VERB
cana-3300	107	64			PROPN
cana-3300	107	65			ADJ
cana-3300	107	66			PROPN
cana-3300	107	67	−−	−−	PROPN
cana-3300	107	68	−−	−−	PROPN
cana-3300	107	69	−	−	PROPN
cana-3300	107	70	−−−	−−−	PUNCT
cana-3300	108	1	gwgtrgwgtr	gwgtrgwgtr	PROPN
cana-3300	108	2	gwgtrgwgtr	gwgtrgwgtr	PROPN
cana-3300	108	3	gwgtr	gwgtr	PROPN
cana-3300	108	4	gwggwgegwgtr	gwggwgegwgtr	PROPN
cana-3300	108	5	l	l	PROPN
cana-3300	108	6	e	e	PROPN
cana-3300	108	7	t	t	PROPN
cana-3300	108	8	ttt	ttt	X
cana-3300	108	9			PROPN
cana-3300	108	10			X
cana-3300	108	11			ADV
cana-3300	108	12			PROPN
cana-3300	108	13	similarly	similarly	ADV
cana-3300	108	14	,	,	PUNCT
cana-3300	108	15	(	(	PUNCT
cana-3300	108	16	)	)	PUNCT
cana-3300	108	17	(	(	PUNCT
cana-3300	108	18	)	)	PUNCT
cana-3300	108	19	(	(	PUNCT
cana-3300	108	20	)	)	PUNCT
cana-3300	108	21			NOUN
cana-3300	108	22			PROPN
cana-3300	108	23	(	(	PUNCT
cana-3300	108	24	)	)	PUNCT
cana-3300	108	25	(	(	PUNCT
cana-3300	108	26	)	)	PUNCT
cana-3300	108	27	0	0	NUM
cana-3300	108	28	2	2	NUM
cana-3300	108	29	1log	1log	NUM
cana-3300	108	30	12	12	NUM
cana-3300	108	31	1	1	NUM
cana-3300	108	32	12	12	NUM
cana-3300	108	33	1	1	NUM
cana-3300	108	34	12	12	NUM
cana-3300	108	35	1	1	NUM
cana-3300	108	36	12	12	NUM
cana-3300	108	37	1	1	NUM
cana-3300	108	38	212	212	NUM
cana-3300	108	39	1	1	NUM
cana-3300	108	40	2	2	NUM
cana-3300	108	41	=	=	SYM
cana-3300	108	42	+	+	NOUN
cana-3300	108	43	−=	−=	ADJ
cana-3300	108	44	+	+	ADJ
cana-3300	108	45	+	+	ADJ
cana-3300	108	46	−=	−=	NOUN
cana-3300	108	47			NOUN
cana-3300	108	48			PROPN
cana-3300	108	49			NOUN
cana-3300	108	50			PROPN
cana-3300	108	51			NOUN
cana-3300	108	52			PROPN
cana-3300	108	53			PROPN
cana-3300	108	54	−−	−−	PROPN
cana-3300	108	55	−−−	−−−	X
cana-3300	109	1	gwgtrgwgtr	gwgtrgwgtr	PROPN
cana-3300	109	2	gwggwgegwgtr	gwggwgegwgtr	PROPN
cana-3300	109	3	l	l	PROPN
cana-3300	109	4	e	e	X
cana-3300	109	5	ttt	ttt	PROPN
cana-3300	109	6			ADV
cana-3300	109	7			VERB
cana-3300	109	8	the	the	DET
cana-3300	109	9	elements	element	NOUN
cana-3300	109	10	of	of	ADP
cana-3300	109	11	the	the	DET
cana-3300	109	12	information	information	NOUN
cana-3300	109	13	matrix	matrix	NOUN
cana-3300	109	14	are	be	AUX
cana-3300	109	15	:	:	PUNCT
cana-3300	109	16			ADJ
cana-3300	109	17			ADP
cana-3300	109	18			NOUN
cana-3300	109	19	xgxg	xgxg	X
cana-3300	109	20	l	l	PROPN
cana-3300	109	21	e	e	PROPN
cana-3300	109	22	t	t	PROPN
cana-3300	109	23	t	t	PROPN
cana-3300	109	24	11	11	NUM
cana-3300	109	25	2	2	NUM
cana-3300	109	26	2	2	NUM
cana-3300	109	27	1log	1log	NUM
cana-3300	109	28	−−=	−−=	PROPN
cana-3300	109	29			PROPN
cana-3300	109	30			X
cana-3300	109	31			NOUN
cana-3300	109	32			VERB
cana-3300	109	33			PROPN
cana-3300	109	34			PROPN
cana-3300	109	35			PROPN
cana-3300	109	36	−	−	PROPN
cana-3300	110	1			X
cana-3300	110	2	(	(	PUNCT
cana-3300	110	3	3.6	3.6	NUM
cana-3300	110	4	)	)	PUNCT
cana-3300	110	5	0	0	NUM
cana-3300	110	6	log	log	NOUN
cana-3300	110	7	2	2	NUM
cana-3300	110	8	2	2	NUM
cana-3300	110	9	=	=	NOUN
cana-3300	110	10			PROPN
cana-3300	110	11			PROPN
cana-3300	110	12			X
cana-3300	110	13			NOUN
cana-3300	110	14			VERB
cana-3300	110	15			PROPN
cana-3300	110	16			PROPN
cana-3300	110	17			PROPN
cana-3300	110	18	−	−	PROPN
cana-3300	111	1			PROPN
cana-3300	111	2	l	l	PROPN
cana-3300	111	3	e	e	X
cana-3300	111	4	(	(	PUNCT
cana-3300	111	5	3.7	3.7	NUM
cana-3300	111	6	)	)	PUNCT
cana-3300	111	7	0	0	NUM
cana-3300	111	8	log	log	VERB
cana-3300	111	9	1	1	NUM
cana-3300	111	10	2	2	NUM
cana-3300	111	11	=	=	NOUN
cana-3300	111	12			PROPN
cana-3300	111	13			PROPN
cana-3300	111	14			X
cana-3300	111	15			NOUN
cana-3300	111	16			VERB
cana-3300	111	17			PROPN
cana-3300	111	18			PROPN
cana-3300	111	19			PROPN
cana-3300	111	20	−	−	PROPN
cana-3300	111	21			PROPN
cana-3300	111	22	l	l	PROPN
cana-3300	111	23	e	e	X
cana-3300	111	24	(	(	PUNCT
cana-3300	111	25	3.8	3.8	NUM
cana-3300	111	26	)	)	PUNCT
cana-3300	111	27	0	0	NUM
cana-3300	112	1	log	log	NOUN
cana-3300	112	2	2	2	NUM
cana-3300	112	3	2	2	NUM
cana-3300	112	4	=	=	NOUN
cana-3300	112	5			PROPN
cana-3300	112	6			PROPN
cana-3300	112	7			X
cana-3300	112	8			NOUN
cana-3300	112	9			VERB
cana-3300	112	10			PROPN
cana-3300	112	11			PROPN
cana-3300	112	12			PROPN
cana-3300	112	13	−	−	PROPN
cana-3300	112	14			PROPN
cana-3300	112	15	l	l	PROPN
cana-3300	112	16	e	e	X
cana-3300	112	17	(	(	PUNCT
cana-3300	112	18	3.9	3.9	NUM
cana-3300	112	19	)	)	PUNCT
cana-3300	112	20	422	422	NUM
cana-3300	112	21	2	2	NUM
cana-3300	112	22	2	2	NUM
cana-3300	112	23	log	log	NOUN
cana-3300	112	24			PROPN
cana-3300	112	25	nl	nl	NOUN
cana-3300	112	26	e	e	PROPN
cana-3300	112	27	=	=	PROPN
cana-3300	112	28			PROPN
cana-3300	112	29			PROPN
cana-3300	112	30			X
cana-3300	112	31			NOUN
cana-3300	112	32			VERB
cana-3300	112	33			PROPN
cana-3300	112	34			PROPN
cana-3300	112	35			PROPN
cana-3300	112	36	−	−	PROPN
cana-3300	113	1	(	(	PUNCT
cana-3300	113	2	3.10	3.10	NUM
cana-3300	113	3	)	)	PUNCT
cana-3300	113	4	(	(	PUNCT
cana-3300	113	5	)	)	PUNCT
cana-3300	113	6	2	2	NUM
cana-3300	113	7	1	1	NUM
cana-3300	113	8	21	21	NUM
cana-3300	113	9	1	1	NUM
cana-3300	113	10	2	2	NUM
cana-3300	113	11	2	2	NUM
cana-3300	113	12	log	log	NOUN
cana-3300	113	13			NOUN
cana-3300	114	1	−	−	PROPN
cana-3300	115	1	=	=	SYM
cana-3300	115	2			PROPN
cana-3300	115	3			PROPN
cana-3300	115	4			X
cana-3300	115	5			NOUN
cana-3300	115	6			VERB
cana-3300	115	7			PROPN
cana-3300	115	8			PROPN
cana-3300	115	9			PROPN
cana-3300	115	10	−	−	PROPN
cana-3300	115	11	ggwtrl	ggwtrl	PROPN
cana-3300	115	12	e	e	X
cana-3300	115	13	(	(	PUNCT
cana-3300	115	14	3.11	3.11	NUM
cana-3300	115	15	)	)	PUNCT
cana-3300	115	16	(	(	PUNCT
cana-3300	115	17	)	)	PUNCT
cana-3300	115	18	2	2	NUM
cana-3300	115	19	1	1	NUM
cana-3300	115	20	22	22	NUM
cana-3300	115	21	2	2	NUM
cana-3300	115	22	2	2	NUM
cana-3300	115	23	2	2	NUM
cana-3300	115	24	log	log	NOUN
cana-3300	115	25			NOUN
cana-3300	116	1	−	−	PROPN
cana-3300	117	1	=	=	SYM
cana-3300	117	2			PROPN
cana-3300	117	3			PROPN
cana-3300	117	4			X
cana-3300	117	5			NOUN
cana-3300	117	6			VERB
cana-3300	117	7			PROPN
cana-3300	117	8			PROPN
cana-3300	117	9			PROPN
cana-3300	117	10	−	−	PROPN
cana-3300	117	11	ggwtrl	ggwtrl	PROPN
cana-3300	117	12	e	e	X
cana-3300	117	13	(	(	PUNCT
cana-3300	117	14	3.12	3.12	NUM
cana-3300	117	15	)	)	PUNCT
cana-3300	117	16	(	(	PUNCT
cana-3300	117	17	)	)	PUNCT
cana-3300	117	18	(	(	PUNCT
cana-3300	117	19	)	)	PUNCT
cana-3300	117	20	(	(	PUNCT
cana-3300	117	21	)	)	PUNCT
cana-3300	117	22	(	(	PUNCT
cana-3300	117	23	)	)	PUNCT
cana-3300	117	24	(	(	PUNCT
cana-3300	117	25	)	)	PUNCT
cana-3300	117	26			ADJ
cana-3300	117	27	1	1	NOUN
cana-3300	117	28	21	21	NUM
cana-3300	117	29	1	1	NUM
cana-3300	117	30	21	21	NUM
cana-3300	117	31	21	21	NUM
cana-3300	117	32	212	212	NUM
cana-3300	117	33	1	1	NUM
cana-3300	117	34	2	2	NUM
cana-3300	117	35	log	log	NOUN
cana-3300	117	36	−−−	−−−	PUNCT
cana-3300	118	1	+	+	PUNCT
cana-3300	118	2	=	=	ADJ
cana-3300	118	3			ADJ
cana-3300	118	4			PROPN
cana-3300	118	5			X
cana-3300	118	6			NOUN
cana-3300	118	7			VERB
cana-3300	118	8			PROPN
cana-3300	118	9			ADJ
cana-3300	118	10			PROPN
cana-3300	118	11	−	−	PROPN
cana-3300	118	12	ggwggwtrggwtr	ggwggwtrggwtr	PROPN
cana-3300	118	13	l	l	PROPN
cana-3300	118	14	e	e	X
cana-3300	118	15	t	t	X
cana-3300	118	16			PROPN
cana-3300	118	17	(	(	PUNCT
cana-3300	118	18	3.13	3.13	NUM
cana-3300	118	19	)	)	PUNCT
cana-3300	118	20	communications	communication	NOUN
cana-3300	118	21	on	on	ADP
cana-3300	118	22	applied	apply	VERB
cana-3300	118	23	nonlinear	nonlinear	ADJ
cana-3300	118	24	analysis	analysis	NOUN
cana-3300	118	25	issn	issn	NOUN
cana-3300	118	26	:	:	PUNCT
cana-3300	118	27	1074	1074	NUM
cana-3300	118	28	-	-	PUNCT
cana-3300	118	29	133x	133x	NUM
cana-3300	118	30	vol	vol	NOUN
cana-3300	118	31	32	32	NUM
cana-3300	118	32	no	no	NOUN
cana-3300	118	33	.	.	PUNCT
cana-3300	119	1	6s	6s	NUM
cana-3300	119	2	(	(	PUNCT
cana-3300	119	3	2025	2025	NUM
cana-3300	119	4	)	)	PUNCT
cana-3300	119	5	346	346	NUM
cana-3300	119	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3300	119	7	(	(	PUNCT
cana-3300	119	8	)	)	PUNCT
cana-3300	119	9	(	(	PUNCT
cana-3300	119	10	)	)	PUNCT
cana-3300	119	11	(	(	PUNCT
cana-3300	119	12	)	)	PUNCT
cana-3300	119	13	(	(	PUNCT
cana-3300	119	14	)	)	PUNCT
cana-3300	119	15	(	(	PUNCT
cana-3300	119	16	)	)	PUNCT
cana-3300	119	17			ADJ
cana-3300	119	18	1	1	NOUN
cana-3300	119	19	12	12	NUM
cana-3300	119	20	1	1	NUM
cana-3300	119	21	12	12	NUM
cana-3300	119	22	21	21	NUM
cana-3300	119	23	122	122	NUM
cana-3300	119	24	2	2	NUM
cana-3300	119	25	2	2	NUM
cana-3300	119	26	log	log	NOUN
cana-3300	119	27	−−−	−−−	PUNCT
cana-3300	120	1	+	+	PUNCT
cana-3300	120	2	=	=	ADJ
cana-3300	120	3			ADJ
cana-3300	120	4			PROPN
cana-3300	120	5			X
cana-3300	120	6			NOUN
cana-3300	120	7			VERB
cana-3300	120	8			PROPN
cana-3300	120	9			ADJ
cana-3300	120	10			PROPN
cana-3300	120	11	−	−	PROPN
cana-3300	120	12	ggwggwtrggwtr	ggwggwtrggwtr	PROPN
cana-3300	120	13	l	l	PROPN
cana-3300	120	14	e	e	X
cana-3300	120	15	t	t	X
cana-3300	120	16			PROPN
cana-3300	120	17	(	(	PUNCT
cana-3300	120	18	3.14	3.14	NUM
cana-3300	120	19	)	)	PUNCT
cana-3300	120	20	(	(	PUNCT
cana-3300	120	21	)	)	PUNCT
cana-3300	120	22	21	21	NUM
cana-3300	120	23	21	21	NUM
cana-3300	120	24	2	2	NUM
cana-3300	120	25	2	2	NUM
cana-3300	120	26	log	log	NOUN
cana-3300	120	27	wwtr	wwtr	NOUN
cana-3300	120	28	l	l	NOUN
cana-3300	120	29	e	e	PROPN
cana-3300	121	1	=	=	PROPN
cana-3300	121	2			PROPN
cana-3300	121	3			PROPN
cana-3300	121	4			X
cana-3300	121	5			NOUN
cana-3300	121	6			VERB
cana-3300	121	7			PROPN
cana-3300	121	8			PROPN
cana-3300	121	9			PROPN
cana-3300	121	10	−	−	PROPN
cana-3300	122	1			PROPN
cana-3300	122	2	(	(	PUNCT
cana-3300	122	3	3.15	3.15	NUM
cana-3300	122	4	)	)	PUNCT
cana-3300	122	5	the	the	DET
cana-3300	122	6	information	information	NOUN
cana-3300	122	7	matrix	matrix	NOUN
cana-3300	122	8	(	(	PUNCT
cana-3300	122	9	)	)	PUNCT
cana-3300	122	10	21	21	NUM
cana-3300	122	11	2	2	NUM
cana-3300	122	12	,	,	PUNCT
cana-3300	122	13	,	,	PUNCT
cana-3300	122	14	,	,	PUNCT
cana-3300	122	15	i	i	PROPN
cana-3300	122	16	may	may	AUX
cana-3300	122	17	then	then	ADV
cana-3300	122	18	be	be	AUX
cana-3300	122	19	expressed	express	VERB
cana-3300	122	20	as	as	ADP
cana-3300	122	21	:	:	PUNCT
cana-3300	122	22			ADJ
cana-3300	122	23			ADP
cana-3300	122	24			PROPN
cana-3300	122	25			PROPN
cana-3300	122	26	(	(	PUNCT
cana-3300	122	27	)	)	PUNCT
cana-3300	122	28	(	(	PUNCT
cana-3300	122	29	)	)	PUNCT
cana-3300	122	30	(	(	PUNCT
cana-3300	122	31	)	)	PUNCT
cana-3300	122	32	(	(	PUNCT
cana-3300	122	33	)	)	PUNCT
cana-3300	122	34	(	(	PUNCT
cana-3300	122	35	)	)	PUNCT
cana-3300	122	36	(	(	PUNCT
cana-3300	122	37	)	)	PUNCT
cana-3300	122	38	(	(	PUNCT
cana-3300	122	39	)	)	PUNCT
cana-3300	122	40	(	(	PUNCT
cana-3300	122	41	)	)	PUNCT
cana-3300	122	42			NOUN
cana-3300	122	43			PROPN
cana-3300	122	44	(	(	PUNCT
cana-3300	122	45	)	)	PUNCT
cana-3300	122	46	(	(	PUNCT
cana-3300	122	47	)	)	PUNCT
cana-3300	122	48	(	(	PUNCT
cana-3300	122	49	)	)	PUNCT
cana-3300	122	50	(	(	PUNCT
cana-3300	122	51	)	)	PUNCT
cana-3300	122	52	(	(	PUNCT
cana-3300	122	53	)	)	PUNCT
cana-3300	122	54	(	(	PUNCT
cana-3300	122	55	)	)	PUNCT
cana-3300	122	56	(	(	PUNCT
cana-3300	122	57	)	)	PUNCT
cana-3300	122	58	(	(	PUNCT
cana-3300	122	59	)	)	PUNCT
cana-3300	122	60			PROPN
cana-3300	122	61			NOUN
cana-3300	122	62	)	)	PUNCT
cana-3300	122	63	16.3	16.3	NUM
cana-3300	122	64	(	(	PUNCT
cana-3300	122	65	20	20	NUM
cana-3300	122	66	20	20	NUM
cana-3300	122	67	2	2	NUM
cana-3300	122	68	0	0	NUM
cana-3300	122	69	000	000	NUM
cana-3300	122	70	1	1	NUM
cana-3300	122	71	1	1	NUM
cana-3300	122	72	12	12	NUM
cana-3300	122	73	1	1	NUM
cana-3300	122	74	12	12	NUM
cana-3300	122	75	21	21	NUM
cana-3300	122	76	12212	12212	NUM
cana-3300	122	77	1	1	NUM
cana-3300	122	78	12	12	NUM
cana-3300	122	79	21	21	NUM
cana-3300	122	80	1	1	NUM
cana-3300	122	81	21	21	NUM
cana-3300	122	82	1	1	NUM
cana-3300	122	83	21	21	NUM
cana-3300	122	84	21	21	NUM
cana-3300	122	85	212	212	NUM
cana-3300	122	86	1	1	NUM
cana-3300	122	87	21	21	NUM
cana-3300	122	88	2	2	NUM
cana-3300	122	89	1	1	NUM
cana-3300	122	90	12	12	NUM
cana-3300	122	91	2	2	NUM
cana-3300	122	92	1	1	NUM
cana-3300	122	93	21	21	NUM
cana-3300	122	94	4	4	NUM
cana-3300	122	95	11	11	NUM
cana-3300	122	96	2	2	NUM
cana-3300	122	97			NOUN
cana-3300	122	98			PROPN
cana-3300	123	1			PUNCT
cana-3300	123	2			PUNCT
cana-3300	124	1			PUNCT
cana-3300	124	2			NOUN
cana-3300	125	1			PUNCT
cana-3300	125	2			NOUN
cana-3300	125	3			PROPN
cana-3300	125	4			PROPN
cana-3300	125	5			X
cana-3300	125	6			NOUN
cana-3300	125	7			NOUN
cana-3300	125	8			NOUN
cana-3300	125	9			NOUN
cana-3300	125	10			NOUN
cana-3300	125	11			NOUN
cana-3300	125	12			NOUN
cana-3300	125	13			NOUN
cana-3300	125	14			NOUN
cana-3300	125	15			VERB
cana-3300	125	16			PROPN
cana-3300	126	1	+	+	CCONJ
cana-3300	126	2	+	+	NUM
cana-3300	126	3	−−−	−−−	NOUN
cana-3300	126	4	−	−	PROPN
cana-3300	126	5	−−−	−−−	NOUN
cana-3300	126	6	−	−	PROPN
cana-3300	127	1	−−	−−	PROPN
cana-3300	127	2	−−	−−	NOUN
cana-3300	127	3	ggwggwtrggwtrwwtr	ggwggwtrggwtrwwtr	NOUN
cana-3300	127	4	sgwtr	sgwtr	VERB
cana-3300	127	5	wwtrggwggwtrggwtr	wwtrggwggwtrggwtr	NOUN
cana-3300	127	6	ggwtr	ggwtr	NOUN
cana-3300	127	7	ggwtrggwtrn	ggwtrggwtrn	VERB
cana-3300	127	8	xgxg	xgxg	PROPN
cana-3300	127	9	t	t	PROPN
cana-3300	127	10	t	t	PROPN
cana-3300	127	11	t	t	PROPN
cana-3300	127	12			PROPN
cana-3300	127	13			PROPN
cana-3300	127	14			PROPN
cana-3300	127	15			PROPN
cana-3300	127	16	the	the	DET
cana-3300	127	17	information	information	NOUN
cana-3300	127	18	matrix	matrix	NOUN
cana-3300	127	19	(	(	PUNCT
cana-3300	127	20	3.16	3.16	NUM
cana-3300	127	21	)	)	PUNCT
cana-3300	127	22	has	have	VERB
cana-3300	127	23	block	block	NOUN
cana-3300	127	24	-	-	PUNCT
cana-3300	127	25	diagonality	diagonality	NOUN
cana-3300	127	26	between	between	ADP
cana-3300	127	27	group	group	NOUN
cana-3300	127	28	of	of	ADP
cana-3300	127	29	parameters	parameter	NOUN
cana-3300	127	30	,	,	PUNCT
cana-3300	127	31	similar	similar	ADJ
cana-3300	127	32	to	to	ADP
cana-3300	127	33	the	the	DET
cana-3300	127	34	first	first	ADJ
cana-3300	127	35	order	order	NOUN
cana-3300	127	36	sma	sma	NOUN
cana-3300	127	37	model	model	NOUN
cana-3300	127	38	as	as	SCONJ
cana-3300	127	39	shown	show	VERB
cana-3300	127	40	in	in	ADP
cana-3300	127	41	hepple	hepple	PROPN
cana-3300	127	42	(	(	PUNCT
cana-3300	127	43	2003	2003	NUM
cana-3300	127	44	)	)	PUNCT
cana-3300	127	45	;	;	PUNCT
cana-3300	127	46	therefore	therefore	ADV
cana-3300	127	47	,	,	PUNCT
cana-3300	127	48	the	the	DET
cana-3300	127	49	variance	variance	NOUN
cana-3300	127	50	for	for	ADP
cana-3300	127	51	̂	̂	NOUN
cana-3300	127	52	may	may	AUX
cana-3300	127	53	be	be	AUX
cana-3300	127	54	calculated	calculate	VERB
cana-3300	127	55	using	use	VERB
cana-3300	127	56	,	,	PUNCT
cana-3300	127	57	𝑉𝑎𝑟	𝑉𝑎𝑟	PROPN
cana-3300	127	58	(	(	PUNCT
cana-3300	127	59	�	�	NOUN
cana-3300	127	60	̂	̂	NOUN
cana-3300	127	61	�	�	NOUN
cana-3300	127	62	)	)	PUNCT
cana-3300	127	63	=	=	SYM
cana-3300	127	64	𝜎2[((𝐼	𝜎2[((𝐼	NOUN
cana-3300	127	65	+	+	X
cana-3300	127	66	𝜃2𝑊2)−1(𝐼	𝜃2𝑊2)−1(𝐼	ADJ
cana-3300	127	67	+	+	CCONJ
cana-3300	127	68	𝜃1𝑊1)−1𝑋)𝑇((𝐼	𝜃1𝑊1)−1𝑋)𝑇((𝐼	NOUN
cana-3300	127	69	+	+	CCONJ
cana-3300	127	70	𝜃2𝑊2)−1(𝐼	𝜃2𝑊2)−1(𝐼	ADJ
cana-3300	127	71	+	+	CCONJ
cana-3300	127	72	𝜃1𝑊1)−1𝑋)]−1	𝜃1𝑊1)−1𝑋)]−1	ADJ
cana-3300	127	73	(	(	PUNCT
cana-3300	127	74	3.17	3.17	NUM
cana-3300	127	75	)	)	PUNCT
cana-3300	127	76	with	with	ADP
cana-3300	127	77	the	the	DET
cana-3300	127	78	ml	ml	ADJ
cana-3300	127	79	estimate	estimate	NOUN
cana-3300	127	80	of	of	ADP
cana-3300	127	81	1	1	NUM
cana-3300	127	82	and	and	CCONJ
cana-3300	127	83	2	2	NOUN
cana-3300	127	84	.	.	PUNCT
cana-3300	128	1	further	far	ADV
cana-3300	128	2	,	,	PUNCT
cana-3300	128	3	the	the	DET
cana-3300	128	4	sub	sub	NOUN
cana-3300	128	5	-	-	NOUN
cana-3300	128	6	matrix	matrix	NOUN
cana-3300	128	7	involving	involve	VERB
cana-3300	128	8	only	only	ADV
cana-3300	128	9	21	21	NUM
cana-3300	128	10	2	2	NUM
cana-3300	128	11	,	,	PUNCT
cana-3300	128	12	,	,	PUNCT
cana-3300	128	13			PROPN
cana-3300	128	14	can	can	AUX
cana-3300	128	15	be	be	AUX
cana-3300	128	16	used	use	VERB
cana-3300	128	17	to	to	PART
cana-3300	128	18	obtain	obtain	VERB
cana-3300	128	19	the	the	DET
cana-3300	128	20	variance	variance	NOUN
cana-3300	128	21	of	of	ADP
cana-3300	128	22	21	21	NUM
cana-3300	128	23			NOUN
cana-3300	128	24	and	and	CCONJ
cana-3300	128	25	.	.	PUNCT
cana-3300	129	1	at	at	ADP
cana-3300	129	2	the	the	DET
cana-3300	129	3	maximum	maximum	NOUN
cana-3300	129	4	,	,	PUNCT
cana-3300	129	5	the	the	DET
cana-3300	129	6	partial	partial	ADJ
cana-3300	129	7	derivatives	derivative	NOUN
cana-3300	129	8	of	of	ADP
cana-3300	129	9	equation	equation	NOUN
cana-3300	129	10	(	(	PUNCT
cana-3300	129	11	3.2	3.2	NUM
cana-3300	129	12	)	)	PUNCT
cana-3300	129	13	and	and	CCONJ
cana-3300	129	14	(	(	PUNCT
cana-3300	129	15	3.3	3.3	NUM
cana-3300	129	16	)	)	PUNCT
cana-3300	129	17	equals	equal	VERB
cana-3300	129	18	zero	zero	NUM
cana-3300	129	19	.	.	PUNCT
cana-3300	130	1	therefore	therefore	ADV
cana-3300	130	2	,	,	PUNCT
cana-3300	130	3	�	�	PROPN
cana-3300	130	4	̂	̂	NOUN
cana-3300	130	5	�	�	NOUN
cana-3300	130	6	=	=	PUNCT
cana-3300	131	1	[	[	X
cana-3300	131	2	𝑋𝑇𝐺−1𝑇	𝑋𝑇𝐺−1𝑇	NOUN
cana-3300	131	3	𝐺−1𝑋	𝐺−1𝑋	NOUN
cana-3300	131	4	]	]	X
cana-3300	131	5	−1	−1	NOUN
cana-3300	131	6	𝑋𝑇𝐺−1𝑇	𝑋𝑇𝐺−1𝑇	ADP
cana-3300	131	7	𝐺−1𝑍	𝐺−1𝑍	PROPN
cana-3300	131	8	(	(	PUNCT
cana-3300	131	9	3.18	3.18	NUM
cana-3300	131	10	)	)	PUNCT
cana-3300	131	11	and	and	CCONJ
cana-3300	131	12	,	,	PUNCT
cana-3300	131	13	�	�	PROPN
cana-3300	131	14	̂	̂	NOUN
cana-3300	131	15	�	�	NOUN
cana-3300	131	16	2	2	NUM
cana-3300	131	17	=	=	NOUN
cana-3300	131	18	𝑛−1𝐷∗𝑇	𝑛−1𝐷∗𝑇	ADP
cana-3300	131	19	𝐺−1𝑇	𝐺−1𝑇	NOUN
cana-3300	131	20	𝐺−1𝐷∗	𝐺−1𝐷∗	PUNCT
cana-3300	131	21	where	where	SCONJ
cana-3300	131	22	,	,	PUNCT
cana-3300	131	23	𝐷∗	𝐷∗	PROPN
cana-3300	131	24	=	=	SYM
cana-3300	131	25	𝑍	𝑍	PROPN
cana-3300	131	26	−	−	PROPN
cana-3300	131	27	𝑋	𝑋	PROPN
cana-3300	131	28	�	�	PROPN
cana-3300	131	29	̂	̂	SYM
cana-3300	131	30	�	�	PROPN
cana-3300	131	31	(	(	PUNCT
cana-3300	131	32	3.19	3.19	NUM
cana-3300	131	33	)	)	PUNCT
cana-3300	131	34	under	under	ADP
cana-3300	131	35	the	the	DET
cana-3300	131	36	specified	specified	ADJ
cana-3300	131	37	values	value	NOUN
cana-3300	131	38	of	of	ADP
cana-3300	131	39	21	21	NUM
cana-3300	131	40			NOUN
cana-3300	131	41	and	and	CCONJ
cana-3300	131	42	,	,	PUNCT
cana-3300	131	43	the	the	DET
cana-3300	131	44	estimates	estimate	NOUN
cana-3300	131	45	of	of	ADP
cana-3300	131	46			PROPN
cana-3300	131	47	can	can	AUX
cana-3300	131	48	be	be	AUX
cana-3300	131	49	obtained	obtain	VERB
cana-3300	131	50	as	as	ADP
cana-3300	131	51	a	a	DET
cana-3300	131	52	linear	linear	ADJ
cana-3300	131	53	model	model	NOUN
cana-3300	131	54	,	,	PUNCT
cana-3300	131	55	using	use	VERB
cana-3300	131	56	the	the	DET
cana-3300	131	57	generalised	generalise	VERB
cana-3300	131	58	least	least	ADJ
cana-3300	131	59	squares	square	NOUN
cana-3300	131	60	(	(	PUNCT
cana-3300	131	61	gls	gls	NOUN
cana-3300	131	62	)	)	PUNCT
cana-3300	131	63	equation	equation	NOUN
cana-3300	131	64	.	.	PUNCT
cana-3300	132	1	the	the	DET
cana-3300	132	2	log	log	NOUN
cana-3300	132	3	likelihood	likelihood	NOUN
cana-3300	132	4	function	function	NOUN
cana-3300	132	5	in	in	ADP
cana-3300	132	6	equation	equation	NOUN
cana-3300	132	7	(	(	PUNCT
cana-3300	132	8	3.1	3.1	NUM
cana-3300	132	9	)	)	PUNCT
cana-3300	132	10	after	after	ADP
cana-3300	132	11	replacing	replace	VERB
cana-3300	132	12	𝛽	𝛽	PRON
cana-3300	132	13	by	by	ADP
cana-3300	132	14	�	�	PROPN
cana-3300	132	15	̂	̂	SYM
cana-3300	132	16	�	�	PROPN
cana-3300	132	17	of	of	ADP
cana-3300	132	18	(	(	PUNCT
cana-3300	132	19	3.18	3.18	NUM
cana-3300	132	20	)	)	PUNCT
cana-3300	132	21	and	and	CCONJ
cana-3300	132	22	2	2	NUM
cana-3300	132	23	by	by	ADP
cana-3300	132	24	2̂	2̂	NUM
cana-3300	132	25	of	of	ADP
cana-3300	132	26	(	(	PUNCT
cana-3300	132	27	3.19	3.19	NUM
cana-3300	132	28	)	)	PUNCT
cana-3300	132	29	becomes	become	VERB
cana-3300	132	30	,	,	PUNCT
cana-3300	132	31	log(𝐿(𝛽	log(𝐿(𝛽	NOUN
cana-3300	132	32	,	,	PUNCT
cana-3300	132	33	𝜃1	𝜃1	NOUN
cana-3300	132	34	,	,	PUNCT
cana-3300	132	35	𝜃2/𝑍	𝜃2/𝑍	NOUN
cana-3300	132	36	)	)	PUNCT
cana-3300	132	37	)	)	PUNCT
cana-3300	133	1	=	=	PUNCT
cana-3300	133	2	−	−	NOUN
cana-3300	133	3	𝑛	𝑛	PROPN
cana-3300	133	4	2	2	NUM
cana-3300	133	5	log(2𝜋	log(2𝜋	NOUN
cana-3300	133	6	)	)	PUNCT
cana-3300	134	1	−	−	NOUN
cana-3300	134	2	𝑛	𝑛	DET
cana-3300	134	3	2	2	NUM
cana-3300	134	4	log	log	NOUN
cana-3300	134	5	(	(	PUNCT
cana-3300	134	6	𝑛−1𝐷∗𝑇	𝑛−1𝐷∗𝑇	ADP
cana-3300	134	7	𝐺−1𝑇	𝐺−1𝑇	NOUN
cana-3300	134	8	𝐺−1𝐷∗	𝐺−1𝐷∗	NOUN
cana-3300	134	9	)	)	PUNCT
cana-3300	134	10	−	−	ADP
cana-3300	134	11	log|𝐺|	log|𝐺|	NOUN
cana-3300	134	12	−	−	NOUN
cana-3300	134	13	1	1	NUM
cana-3300	134	14	2	2	NUM
cana-3300	134	15	=	=	SYM
cana-3300	134	16	−	−	NOUN
cana-3300	134	17	𝑛	𝑛	DET
cana-3300	134	18	2	2	NUM
cana-3300	135	1	[	[	X
cana-3300	135	2	log	log	X
cana-3300	135	3	(	(	PUNCT
cana-3300	135	4	(	(	PUNCT
cana-3300	135	5	2𝜋)𝑛−1	2𝜋)𝑛−1	NUM
cana-3300	135	6	)	)	PUNCT
cana-3300	135	7	+	+	X
cana-3300	135	8	𝑛−1	𝑛−1	NUM
cana-3300	135	9	]	]	PUNCT
cana-3300	135	10	−	−	NOUN
cana-3300	135	11	𝑛	𝑛	PRON
cana-3300	135	12	2	2	NUM
cana-3300	135	13	log	log	NOUN
cana-3300	135	14	[	[	X
cana-3300	135	15	|𝐺|2/𝑛𝐷∗𝑇	|𝐺|2/𝑛𝐷∗𝑇	X
cana-3300	135	16	𝐺−1𝑇	𝐺−1𝑇	NOUN
cana-3300	135	17	𝐺−1𝐷∗	𝐺−1𝐷∗	NOUN
cana-3300	135	18	]	]	PUNCT
cana-3300	135	19	(	(	PUNCT
cana-3300	135	20	3.20	3.20	NUM
cana-3300	135	21	)	)	PUNCT
cana-3300	135	22	thus	thus	ADV
cana-3300	135	23	,	,	PUNCT
cana-3300	135	24	numerical	numerical	ADJ
cana-3300	135	25	optimization	optimization	NOUN
cana-3300	135	26	of	of	ADP
cana-3300	135	27	(	(	PUNCT
cana-3300	135	28	3.20	3.20	NUM
cana-3300	135	29	)	)	PUNCT
cana-3300	135	30	gives	give	VERB
cana-3300	135	31	estimates	estimate	NOUN
cana-3300	135	32	of	of	ADP
cana-3300	135	33	21	21	NUM
cana-3300	135	34			NOUN
cana-3300	135	35	and	and	CCONJ
cana-3300	135	36	,	,	PUNCT
cana-3300	135	37	after	after	ADP
cana-3300	135	38	which	which	PRON
cana-3300	135	39	2ˆˆ	2ˆˆ	NOUN
cana-3300	135	40			PROPN
cana-3300	135	41	and	and	CCONJ
cana-3300	135	42	could	could	AUX
cana-3300	135	43	be	be	AUX
cana-3300	135	44	obtained	obtain	VERB
cana-3300	135	45	using	use	VERB
cana-3300	135	46	(	(	PUNCT
cana-3300	135	47	3.18	3.18	NUM
cana-3300	135	48	)	)	PUNCT
cana-3300	135	49	and	and	CCONJ
cana-3300	135	50	(	(	PUNCT
cana-3300	135	51	3.19	3.19	NUM
cana-3300	135	52	)	)	PUNCT
cana-3300	135	53	respectively	respectively	ADV
cana-3300	135	54	.	.	PUNCT
cana-3300	136	1	the	the	DET
cana-3300	136	2	present	present	ADJ
cana-3300	136	3	paper	paper	NOUN
cana-3300	136	4	however	however	ADV
cana-3300	136	5	,	,	PUNCT
cana-3300	136	6	uses	use	VERB
cana-3300	136	7	the	the	DET
cana-3300	136	8	technique	technique	NOUN
cana-3300	136	9	of	of	ADP
cana-3300	136	10	de	de	X
cana-3300	136	11	algorithm	algorithm	NOUN
cana-3300	136	12	for	for	ADP
cana-3300	136	13	optimization	optimization	NOUN
cana-3300	136	14	of	of	ADP
cana-3300	136	15	the	the	DET
cana-3300	136	16	full	full	ADJ
cana-3300	136	17	likelihood	likelihood	NOUN
cana-3300	136	18	in	in	ADP
cana-3300	136	19	(	(	PUNCT
cana-3300	136	20	3.1	3.1	NUM
cana-3300	136	21	)	)	PUNCT
cana-3300	136	22	.	.	PUNCT
cana-3300	137	1	the	the	DET
cana-3300	137	2	method	method	NOUN
cana-3300	137	3	does	do	AUX
cana-3300	137	4	not	not	PART
cana-3300	137	5	necessarily	necessarily	ADV
cana-3300	137	6	require	require	VERB
cana-3300	137	7	the	the	DET
cana-3300	137	8	step	step	NOUN
cana-3300	137	9	wise	wise	ADJ
cana-3300	137	10	derivation	derivation	NOUN
cana-3300	137	11	shown	show	VERB
cana-3300	137	12	for	for	ADP
cana-3300	137	13	obtaining	obtain	VERB
cana-3300	137	14	the	the	DET
cana-3300	137	15	ml	ml	ADJ
cana-3300	137	16	estimates	estimate	NOUN
cana-3300	137	17	of	of	ADP
cana-3300	137	18	the	the	DET
cana-3300	137	19	parameters	parameter	NOUN
cana-3300	137	20	.	.	PUNCT
cana-3300	138	1	it	it	PRON
cana-3300	138	2	simultaneously	simultaneously	ADV
cana-3300	138	3	estimates	estimate	VERB
cana-3300	138	4	all	all	DET
cana-3300	138	5	the	the	DET
cana-3300	138	6	parameters	parameter	NOUN
cana-3300	138	7	;	;	PUNCT
cana-3300	138	8	hence	hence	ADV
cana-3300	138	9	allows	allow	VERB
cana-3300	138	10	one	one	NUM
cana-3300	138	11	to	to	PART
cana-3300	138	12	construct	construct	VERB
cana-3300	138	13	confidence	confidence	NOUN
cana-3300	138	14	intervals	interval	NOUN
cana-3300	138	15	based	base	VERB
cana-3300	138	16	on	on	ADP
cana-3300	138	17	bootstrap	bootstrap	NOUN
cana-3300	138	18	method	method	NOUN
cana-3300	138	19	and	and	CCONJ
cana-3300	138	20	for	for	ADP
cana-3300	138	21	construction	construction	NOUN
cana-3300	138	22	of	of	ADP
cana-3300	138	23	simultaneous	simultaneous	ADJ
cana-3300	138	24	confidence	confidence	NOUN
cana-3300	138	25	region	region	NOUN
cana-3300	138	26	for	for	ADP
cana-3300	138	27	the	the	DET
cana-3300	138	28	two	two	NUM
cana-3300	138	29	or	or	CCONJ
cana-3300	138	30	more	more	ADJ
cana-3300	138	31	spatial	spatial	ADJ
cana-3300	138	32	dependence	dependence	NOUN
cana-3300	138	33	parameters	parameter	NOUN
cana-3300	138	34	.	.	PUNCT
cana-3300	139	1	communications	communication	NOUN
cana-3300	139	2	on	on	ADP
cana-3300	139	3	applied	apply	VERB
cana-3300	139	4	nonlinear	nonlinear	ADJ
cana-3300	139	5	analysis	analysis	NOUN
cana-3300	139	6	issn	issn	NOUN
cana-3300	139	7	:	:	PUNCT
cana-3300	139	8	1074	1074	NUM
cana-3300	139	9	-	-	PUNCT
cana-3300	139	10	133x	133x	NUM
cana-3300	139	11	vol	vol	NOUN
cana-3300	139	12	32	32	NUM
cana-3300	139	13	no	no	NOUN
cana-3300	139	14	.	.	PUNCT
cana-3300	140	1	6s	6s	NUM
cana-3300	140	2	(	(	PUNCT
cana-3300	140	3	2025	2025	NUM
cana-3300	140	4	)	)	PUNCT
cana-3300	140	5	347	347	NUM
cana-3300	140	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3300	140	7	3.1	3.1	NUM
cana-3300	140	8	.	.	PUNCT
cana-3300	141	1	parameter	parameter	NOUN
cana-3300	141	2	spaces	space	NOUN
cana-3300	141	3	for	for	ADP
cana-3300	141	4	𝜽𝟏	𝜽𝟏	NOUN
cana-3300	141	5	and	and	CCONJ
cana-3300	141	6	𝜽𝟐	𝜽𝟐	ADJ
cana-3300	141	7	:	:	PUNCT
cana-3300	141	8	hepple	hepple	PROPN
cana-3300	141	9	,	,	PUNCT
cana-3300	141	10	2003	2003	NUM
cana-3300	141	11	mentioned	mention	VERB
cana-3300	141	12	that	that	SCONJ
cana-3300	141	13	the	the	DET
cana-3300	141	14	structure	structure	NOUN
cana-3300	141	15	of	of	ADP
cana-3300	141	16	1w	1w	NUM
cana-3300	141	17	and	and	CCONJ
cana-3300	141	18	its	its	PRON
cana-3300	141	19	eigen	eigen	PROPN
cana-3300	141	20	values	value	NOUN
cana-3300	141	21	determine	determine	VERB
cana-3300	141	22	the	the	DET
cana-3300	141	23	range	range	NOUN
cana-3300	141	24	of	of	ADP
cana-3300	141	25	1	1	NOUN
cana-3300	141	26	in	in	ADP
cana-3300	141	27	the	the	DET
cana-3300	141	28	first	first	ADJ
cana-3300	141	29	order	order	NOUN
cana-3300	141	30	sma	sma	NOUN
cana-3300	141	31	.	.	PUNCT
cana-3300	142	1	the	the	DET
cana-3300	142	2	condition	condition	NOUN
cana-3300	142	3	arises	arise	VERB
cana-3300	142	4	from	from	ADP
cana-3300	142	5	11wi	11wi	NOUN
cana-3300	142	6	+	+	NOUN
cana-3300	142	7	that	that	PRON
cana-3300	142	8	appears	appear	VERB
cana-3300	142	9	in	in	ADP
cana-3300	142	10	the	the	DET
cana-3300	142	11	likelihood	likelihood	NOUN
cana-3300	142	12	function	function	NOUN
cana-3300	142	13	of	of	ADP
cana-3300	142	14	the	the	DET
cana-3300	142	15	model	model	NOUN
cana-3300	142	16	,	,	PUNCT
cana-3300	142	17	as	as	SCONJ
cana-3300	142	18	it	it	PRON
cana-3300	142	19	should	should	AUX
cana-3300	142	20	be	be	AUX
cana-3300	142	21	positive	positive	ADJ
cana-3300	142	22	(	(	PUNCT
cana-3300	142	23	anselin	anselin	NOUN
cana-3300	142	24	,	,	PUNCT
cana-3300	142	25	1988	1988	NUM
cana-3300	142	26	;	;	PUNCT
cana-3300	142	27	mur	mur	PROPN
cana-3300	142	28	et	et	PROPN
cana-3300	142	29	al	al	PROPN
cana-3300	142	30	,	,	PUNCT
cana-3300	142	31	2006	2006	NUM
cana-3300	142	32	)	)	PUNCT
cana-3300	142	33	.	.	PUNCT
cana-3300	143	1	its	its	PRON
cana-3300	143	2	range	range	NOUN
cana-3300	143	3	should	should	AUX
cana-3300	143	4	be	be	AUX
cana-3300	143	5	between	between	ADP
cana-3300	143	6	the	the	DET
cana-3300	143	7	negative	negative	NOUN
cana-3300	143	8	of	of	ADP
cana-3300	143	9	the	the	DET
cana-3300	143	10	reciprocal	reciprocal	NOUN
cana-3300	143	11	of	of	ADP
cana-3300	143	12	the	the	DET
cana-3300	143	13	largest	large	ADJ
cana-3300	143	14	and	and	CCONJ
cana-3300	143	15	the	the	DET
cana-3300	143	16	smallest	small	ADJ
cana-3300	143	17	eigen	eigen	PROPN
cana-3300	143	18	values	value	NOUN
cana-3300	143	19	of	of	ADP
cana-3300	143	20	1w	1w	NUM
cana-3300	143	21	.	.	PUNCT
cana-3300	144	1	proceeded	proceed	VERB
cana-3300	144	2	in	in	ADP
cana-3300	144	3	a	a	DET
cana-3300	144	4	similar	similar	ADJ
cana-3300	144	5	manner	manner	NOUN
cana-3300	144	6	,	,	PUNCT
cana-3300	144	7	the	the	DET
cana-3300	144	8	feasible	feasible	ADJ
cana-3300	144	9	parameter	parameter	NOUN
cana-3300	144	10	spaces	space	NOUN
cana-3300	144	11	for	for	ADP
cana-3300	144	12	the	the	DET
cana-3300	144	13	two	two	NUM
cana-3300	144	14	spatial	spatial	ADJ
cana-3300	144	15	dependence	dependence	NOUN
cana-3300	144	16	parameters	parameter	NOUN
cana-3300	144	17	of	of	ADP
cana-3300	144	18	the	the	DET
cana-3300	144	19	second	second	ADJ
cana-3300	144	20	order	order	NOUN
cana-3300	144	21	sma	sma	NOUN
cana-3300	144	22	polynomial	polynomial	ADJ
cana-3300	144	23	may	may	AUX
cana-3300	144	24	be	be	AUX
cana-3300	144	25	obtained	obtain	VERB
cana-3300	144	26	theoretically	theoretically	ADV
cana-3300	144	27	.	.	PUNCT
cana-3300	145	1	the	the	DET
cana-3300	145	2	jacobian	jacobian	NOUN
cana-3300	145	3	of	of	ADP
cana-3300	145	4	the	the	DET
cana-3300	145	5	model	model	NOUN
cana-3300	145	6	under	under	ADP
cana-3300	145	7	study	study	NOUN
cana-3300	145	8	is	be	AUX
cana-3300	145	9	:	:	PUNCT
cana-3300	145	10	|𝐺|	|𝐺|	PROPN
cana-3300	145	11	=	=	SYM
cana-3300	145	12	|(𝐼	|(𝐼	NOUN
cana-3300	145	13	+	+	PUNCT
cana-3300	145	14	𝜃1𝑊1)(𝐼	𝜃1𝑊1)(𝐼	NOUN
cana-3300	145	15	+	+	CCONJ
cana-3300	145	16	𝜃2𝑊2)|	𝜃2𝑊2)|	PROPN
cana-3300	145	17	=	=	SYM
cana-3300	145	18	|𝐼	|𝐼	X
cana-3300	145	19	+	+	CCONJ
cana-3300	145	20	𝜃1𝑊1||𝐼	𝜃1𝑊1||𝐼	PUNCT
cana-3300	145	21	+	+	ADJ
cana-3300	145	22	𝜃2𝑊2|	𝜃2𝑊2|	NOUN
cana-3300	145	23	=	=	SYM
cana-3300	145	24	∏	∏	X
cana-3300	145	25	(	(	PUNCT
cana-3300	145	26	1	1	NUM
cana-3300	145	27	+	+	CCONJ
cana-3300	145	28	𝜃1𝜆𝑖	𝜃1𝜆𝑖	ADJ
cana-3300	145	29	)	)	PUNCT
cana-3300	145	30	𝑅	𝑅	PROPN
cana-3300	145	31	𝑖=1	𝑖=1	PROPN
cana-3300	145	32	∏	∏	PROPN
cana-3300	145	33	(	(	PUNCT
cana-3300	145	34	1	1	NUM
cana-3300	145	35	+	+	NUM
cana-3300	145	36	𝜃2𝛿𝑖	𝜃2𝛿𝑖	PUNCT
cana-3300	145	37	)	)	PUNCT
cana-3300	146	1	𝑅	𝑅	PROPN
cana-3300	146	2	𝑖=1	𝑖=1	PROPN
cana-3300	146	3	>	>	X
cana-3300	146	4	0	0	PUNCT
cana-3300	147	1	thus	thus	ADV
cana-3300	147	2	,	,	PUNCT
cana-3300	147	3	∏	∏	X
cana-3300	147	4	(	(	PUNCT
cana-3300	147	5	1	1	NUM
cana-3300	147	6	+	+	CCONJ
cana-3300	147	7	𝜃1𝜆𝑖)𝑅	𝜃1𝜆𝑖)𝑅	PUNCT
cana-3300	147	8	𝑖=1	𝑖=1	PUNCT
cana-3300	147	9	>	>	X
cana-3300	147	10	0	0	PUNCT
cana-3300	148	1	and	and	CCONJ
cana-3300	148	2	,	,	PUNCT
cana-3300	148	3	∏	∏	PROPN
cana-3300	148	4	(	(	PUNCT
cana-3300	148	5	1	1	NUM
cana-3300	148	6	+	+	NUM
cana-3300	148	7	𝜃2𝛿𝑗)𝑅	𝜃2𝛿𝑗)𝑅	PUNCT
cana-3300	148	8	𝑗=1	𝑗=1	PROPN
cana-3300	148	9	>	>	SYM
cana-3300	148	10	0	0	PUNCT
cana-3300	148	11	⇒	⇒	NOUN
cana-3300	148	12	1	1	NUM
cana-3300	148	13	𝜆𝑚𝑎𝑥	𝜆𝑚𝑎𝑥	VERB
cana-3300	148	14	<	<	X
cana-3300	148	15	𝜃1	𝜃1	NOUN
cana-3300	148	16	<	<	X
cana-3300	148	17	1	1	NUM
cana-3300	148	18	𝜆𝑚𝑖𝑛	𝜆𝑚𝑖𝑛	NOUN
cana-3300	148	19	and	and	CCONJ
cana-3300	148	20	,	,	PUNCT
cana-3300	148	21	1	1	NUM
cana-3300	148	22	𝛿𝑚𝑎𝑥	𝛿𝑚𝑎𝑥	NOUN
cana-3300	148	23	<	<	X
cana-3300	148	24	𝜃2	𝜃2	PROPN
cana-3300	148	25	<	<	X
cana-3300	148	26	1	1	NUM
cana-3300	148	27	𝛿𝑚𝑖𝑛	𝛿𝑚𝑖𝑛	NOUN
cana-3300	148	28	where	where	SCONJ
cana-3300	148	29	max	max	PROPN
cana-3300	148	30	and	and	CCONJ
cana-3300	148	31	min	min	ADV
cana-3300	148	32	correspondingly	correspondingly	ADV
cana-3300	148	33	represents	represent	VERB
cana-3300	148	34	the	the	DET
cana-3300	148	35	maximum	maximum	ADJ
cana-3300	148	36	and	and	CCONJ
cana-3300	148	37	minimum	minimum	ADJ
cana-3300	148	38	eigen	eigen	PROPN
cana-3300	148	39	values	value	NOUN
cana-3300	148	40	associated	associate	VERB
cana-3300	148	41	with	with	ADP
cana-3300	148	42	the	the	DET
cana-3300	148	43	weighted	weight	VERB
cana-3300	148	44	contiguity	contiguity	NOUN
cana-3300	148	45	neighbors	neighbor	NOUN
cana-3300	148	46	of	of	ADP
cana-3300	148	47	first	first	ADJ
cana-3300	148	48	orders	order	NOUN
cana-3300	148	49	;	;	PUNCT
cana-3300	148	50	max	max	NOUN
cana-3300	148	51	and	and	CCONJ
cana-3300	148	52	min	min	NOUN
cana-3300	148	53	respectively	respectively	ADV
cana-3300	148	54	are	be	AUX
cana-3300	148	55	the	the	DET
cana-3300	148	56	maximum	maximum	ADJ
cana-3300	148	57	and	and	CCONJ
cana-3300	148	58	minimum	minimum	ADJ
cana-3300	148	59	eigen	eigen	PROPN
cana-3300	148	60	values	value	NOUN
cana-3300	148	61	of	of	ADP
cana-3300	148	62	the	the	DET
cana-3300	148	63	contiguity	contiguity	NOUN
cana-3300	148	64	neighbors	neighbor	NOUN
cana-3300	148	65	of	of	ADP
cana-3300	148	66	second	second	ADJ
cana-3300	148	67	orders	order	NOUN
cana-3300	148	68	.	.	PUNCT
cana-3300	149	1	in	in	ADP
cana-3300	149	2	the	the	DET
cana-3300	149	3	present	present	ADJ
cana-3300	149	4	analysis	analysis	NOUN
cana-3300	149	5	,	,	PUNCT
cana-3300	149	6	the	the	DET
cana-3300	149	7	range	range	NOUN
cana-3300	149	8	of	of	ADP
cana-3300	149	9	1	1	PROPN
cana-3300	149	10	is	be	AUX
cana-3300	149	11	(	(	PUNCT
cana-3300	149	12	-1	-1	ADJ
cana-3300	149	13	,	,	PUNCT
cana-3300	149	14	1.6108	1.6108	NUM
cana-3300	149	15	)	)	PUNCT
cana-3300	149	16	and	and	CCONJ
cana-3300	149	17	for	for	ADP
cana-3300	149	18	2	2	PROPN
cana-3300	149	19	is	be	AUX
cana-3300	149	20	(	(	PUNCT
cana-3300	149	21	-1	-1	ADJ
cana-3300	149	22	,	,	PUNCT
cana-3300	149	23	1.9195	1.9195	NUM
cana-3300	149	24	)	)	PUNCT
cana-3300	149	25	.	.	PUNCT
cana-3300	150	1	4	4	X
cana-3300	150	2	.	.	X
cana-3300	150	3	implementation	implementation	NOUN
cana-3300	150	4	simulated	simulate	VERB
cana-3300	150	5	data	datum	NOUN
cana-3300	150	6	is	be	AUX
cana-3300	150	7	used	use	VERB
cana-3300	150	8	for	for	ADP
cana-3300	150	9	implementation	implementation	NOUN
cana-3300	150	10	of	of	ADP
cana-3300	150	11	the	the	DET
cana-3300	150	12	study	study	NOUN
cana-3300	150	13	second	second	ADJ
cana-3300	150	14	order	order	NOUN
cana-3300	150	15	sma	sma	NOUN
cana-3300	150	16	polynomial	polynomial	ADJ
cana-3300	150	17	.	.	PUNCT
cana-3300	151	1	the	the	DET
cana-3300	151	2	new	new	PROPN
cana-3300	151	3	york	york	PROPN
cana-3300	151	4	shape	shape	NOUN
cana-3300	151	5	file	file	NOUN
cana-3300	151	6	,	,	PUNCT
cana-3300	151	7	which	which	PRON
cana-3300	151	8	has	have	VERB
cana-3300	151	9	281	281	NUM
cana-3300	151	10	sub	sub	NOUN
cana-3300	151	11	-	-	NOUN
cana-3300	151	12	regions	region	NOUN
cana-3300	151	13	available	available	ADJ
cana-3300	151	14	in	in	ADP
cana-3300	151	15	‘	'	PUNCT
cana-3300	151	16	spdata	spdata	NOUN
cana-3300	151	17	’	'	PUNCT
cana-3300	151	18	r	r	NOUN
cana-3300	151	19	-	-	PUNCT
cana-3300	151	20	package	package	NOUN
cana-3300	151	21	,	,	PUNCT
cana-3300	151	22	is	be	AUX
cana-3300	151	23	used	use	VERB
cana-3300	151	24	for	for	ADP
cana-3300	151	25	constructing	construct	VERB
cana-3300	151	26	the	the	DET
cana-3300	151	27	spatial	spatial	ADJ
cana-3300	151	28	contiguity	contiguity	NOUN
cana-3300	151	29	matrix	matrix	NOUN
cana-3300	151	30	of	of	ADP
cana-3300	151	31	first	first	ADJ
cana-3300	151	32	and	and	CCONJ
cana-3300	151	33	second	second	ADJ
cana-3300	151	34	order	order	NOUN
cana-3300	151	35	neighborhoods	neighborhood	NOUN
cana-3300	151	36	required	require	VERB
cana-3300	151	37	for	for	ADP
cana-3300	151	38	implementation	implementation	NOUN
cana-3300	151	39	.	.	PUNCT
cana-3300	152	1	a	a	DET
cana-3300	152	2	vector	vector	NOUN
cana-3300	152	3	of	of	ADP
cana-3300	152	4	random	random	ADJ
cana-3300	152	5	error	error	NOUN
cana-3300	152	6	(	(	PUNCT
cana-3300	152	7	)	)	PUNCT
cana-3300	152	8	25,0~	25,0~	NUM
cana-3300	152	9	n	n	PROPN
cana-3300	152	10	and	and	CCONJ
cana-3300	152	11	a	a	DET
cana-3300	152	12	vector	vector	NOUN
cana-3300	152	13	of	of	ADP
cana-3300	152	14	explanatory	explanatory	ADJ
cana-3300	152	15	variable	variable	NOUN
cana-3300	152	16	,	,	PUNCT
cana-3300	152	17	(	(	PUNCT
cana-3300	152	18	)	)	PUNCT
cana-3300	152	19	)	)	PUNCT
cana-3300	152	20	30,20(~2	30,20(~2	NOUN
cana-3300	152	21	uniformx	uniformx	INTJ
cana-3300	152	22	each	each	PRON
cana-3300	152	23	having	have	VERB
cana-3300	152	24	dimensions	dimension	NOUN
cana-3300	152	25	281	281	NUM
cana-3300	152	26	are	be	AUX
cana-3300	152	27	generated	generate	VERB
cana-3300	152	28	.	.	PUNCT
cana-3300	153	1	1x	1x	PROPN
cana-3300	153	2	is	be	AUX
cana-3300	153	3	a	a	DET
cana-3300	153	4	unitary	unitary	ADJ
cana-3300	153	5	vector	vector	NOUN
cana-3300	153	6	with	with	ADP
cana-3300	153	7	281	281	NUM
cana-3300	153	8	dimension	dimension	NOUN
cana-3300	153	9	,	,	PUNCT
cana-3300	153	10	such	such	ADJ
cana-3300	153	11	that	that	DET
cana-3300	153	12			ADJ
cana-3300	153	13	21	21	X
cana-3300	153	14	xxx	xxx	NOUN
cana-3300	154	1	=	=	PUNCT
cana-3300	154	2	.	.	PUNCT
cana-3300	155	1	21	21	NUM
cana-3300	155	2	wandw	wandw	NOUN
cana-3300	155	3	are	be	AUX
cana-3300	155	4	281281	281281	NUM
cana-3300	155	5	spatial	spatial	ADJ
cana-3300	155	6	contiguity	contiguity	NOUN
cana-3300	155	7	matrix	matrix	NOUN
cana-3300	155	8	of	of	ADP
cana-3300	155	9	first	first	ADJ
cana-3300	155	10	and	and	CCONJ
cana-3300	155	11	second	second	ADJ
cana-3300	155	12	order	order	NOUN
cana-3300	155	13	neighborhoods	neighborhood	NOUN
cana-3300	155	14	respectively	respectively	ADV
cana-3300	155	15	.	.	PUNCT
cana-3300	156	1	then	then	ADV
cana-3300	156	2	,	,	PUNCT
cana-3300	156	3	with	with	ADP
cana-3300	156	4	10,20	10,20	NUM
cana-3300	156	5	21	21	NUM
cana-3300	156	6	=	=	NOUN
cana-3300	156	7	=	=	SYM
cana-3300	156	8			ADJ
cana-3300	156	9	,	,	PUNCT
cana-3300	156	10	1.0,3.0	1.0,3.0	NUM
cana-3300	156	11	21	21	NUM
cana-3300	156	12	=	=	NOUN
cana-3300	156	13	=	=	NOUN
cana-3300	156	14			ADV
cana-3300	156	15	a	a	DET
cana-3300	156	16	response	response	NOUN
cana-3300	156	17	variable	variable	ADJ
cana-3300	156	18	z	z	NOUN
cana-3300	156	19	with	with	SCONJ
cana-3300	156	20	281	281	NUM
cana-3300	156	21	dimensions	dimension	NOUN
cana-3300	156	22	is	be	AUX
cana-3300	156	23	obtained	obtain	VERB
cana-3300	156	24	using	use	VERB
cana-3300	156	25	(	(	PUNCT
cana-3300	156	26	2.3	2.3	NUM
cana-3300	156	27	)	)	PUNCT
cana-3300	156	28	.	.	PUNCT
cana-3300	157	1	with	with	ADP
cana-3300	157	2	the	the	DET
cana-3300	157	3	response	response	NOUN
cana-3300	157	4	variable	variable	NOUN
cana-3300	157	5	,	,	PUNCT
cana-3300	157	6	z	z	PROPN
cana-3300	157	7	and	and	CCONJ
cana-3300	157	8	the	the	DET
cana-3300	157	9	explanatory	explanatory	ADJ
cana-3300	157	10	variable	variable	NOUN
cana-3300	157	11	2x	2x	PRON
cana-3300	157	12	simulated	simulate	VERB
cana-3300	157	13	as	as	ADP
cana-3300	157	14	above	above	ADV
cana-3300	157	15	,	,	PUNCT
cana-3300	157	16	analysis	analysis	NOUN
cana-3300	157	17	under	under	ADP
cana-3300	157	18	the	the	DET
cana-3300	157	19	linear	linear	ADJ
cana-3300	157	20	model	model	NOUN
cana-3300	157	21	assumption	assumption	NOUN
cana-3300	157	22	signifies	signify	VERB
cana-3300	157	23	the	the	DET
cana-3300	157	24	presence	presence	NOUN
cana-3300	157	25	of	of	ADP
cana-3300	157	26	a	a	DET
cana-3300	157	27	significant	significant	ADJ
cana-3300	157	28	spatial	spatial	ADJ
cana-3300	157	29	dependence	dependence	NOUN
cana-3300	157	30	of	of	ADP
cana-3300	157	31	the	the	DET
cana-3300	157	32	first	first	ADJ
cana-3300	157	33	two	two	NUM
cana-3300	157	34	lag	lag	NOUN
cana-3300	157	35	orders	order	NOUN
cana-3300	157	36	in	in	ADP
cana-3300	157	37	the	the	DET
cana-3300	157	38	residuals	residual	NOUN
cana-3300	157	39	.	.	PUNCT
cana-3300	158	1	the	the	DET
cana-3300	158	2	moran	moran	PROPN
cana-3300	158	3	’s	’s	PROPN
cana-3300	158	4	i	i	PRON
cana-3300	158	5	value	value	VERB
cana-3300	158	6	for	for	ADP
cana-3300	158	7	the	the	DET
cana-3300	158	8	first	first	ADJ
cana-3300	158	9	lag	lag	NOUN
cana-3300	158	10	order	order	NOUN
cana-3300	158	11	is	be	AUX
cana-3300	158	12	0.55045	0.55045	NUM
cana-3300	158	13	and	and	CCONJ
cana-3300	158	14	that	that	PRON
cana-3300	158	15	of	of	ADP
cana-3300	158	16	second	second	ADJ
cana-3300	158	17	lag	lag	NOUN
cana-3300	158	18	order	order	NOUN
cana-3300	158	19	is	be	AUX
cana-3300	158	20	0.17189	0.17189	NUM
cana-3300	158	21	with	with	ADP
cana-3300	158	22	both	both	CCONJ
cana-3300	158	23	p	p	NOUN
cana-3300	158	24	-	-	PUNCT
cana-3300	158	25	value	value	NOUN
cana-3300	158	26	less	less	ADJ
cana-3300	158	27	than	than	ADP
cana-3300	158	28	0.05	0.05	NUM
cana-3300	158	29	.	.	PUNCT
cana-3300	159	1	therefore	therefore	ADV
cana-3300	159	2	,	,	PUNCT
cana-3300	159	3	this	this	DET
cana-3300	159	4	simulated	simulate	VERB
cana-3300	159	5	data	datum	NOUN
cana-3300	159	6	is	be	AUX
cana-3300	159	7	considered	consider	VERB
cana-3300	159	8	fit	fit	ADJ
cana-3300	159	9	for	for	ADP
cana-3300	159	10	implementation	implementation	NOUN
cana-3300	159	11	of	of	ADP
cana-3300	159	12	second	second	ADJ
cana-3300	159	13	order	order	NOUN
cana-3300	159	14	sma	sma	NOUN
cana-3300	159	15	polynomial	polynomial	ADJ
cana-3300	159	16	.	.	PUNCT
cana-3300	160	1	optimization	optimization	NOUN
cana-3300	160	2	of	of	ADP
cana-3300	160	3	the	the	DET
cana-3300	160	4	full	full	ADJ
cana-3300	160	5	-	-	PUNCT
cana-3300	160	6	likelihood	likelihood	NOUN
cana-3300	160	7	function	function	NOUN
cana-3300	160	8	is	be	AUX
cana-3300	160	9	carried	carry	VERB
cana-3300	160	10	out	out	ADP
cana-3300	160	11	using	use	VERB
cana-3300	160	12	the	the	DET
cana-3300	160	13	‘	'	PUNCT
cana-3300	160	14	deoptim	deoptim	ADJ
cana-3300	160	15	’	'	PUNCT
cana-3300	160	16	technique	technique	NOUN
cana-3300	160	17	for	for	ADP
cana-3300	160	18	obtaining	obtain	VERB
cana-3300	160	19	the	the	DET
cana-3300	160	20	required	require	VERB
cana-3300	160	21	parameter	parameter	NOUN
cana-3300	160	22	ml	ml	NOUN
cana-3300	160	23	estimates	estimate	NOUN
cana-3300	160	24	.	.	PUNCT
cana-3300	161	1	in	in	ADP
cana-3300	161	2	running	run	VERB
cana-3300	161	3	the	the	DET
cana-3300	161	4	program	program	NOUN
cana-3300	161	5	,	,	PUNCT
cana-3300	161	6	convergence	convergence	NOUN
cana-3300	161	7	of	of	ADP
cana-3300	161	8	the	the	DET
cana-3300	161	9	optimized	optimize	VERB
cana-3300	161	10	log	log	NOUN
cana-3300	161	11	likelihood	likelihood	NOUN
cana-3300	161	12	function	function	NOUN
cana-3300	161	13	and	and	CCONJ
cana-3300	161	14	its	its	PRON
cana-3300	161	15	corresponding	corresponding	ADJ
cana-3300	161	16	parameters	parameter	NOUN
cana-3300	161	17	with	with	ADP
cana-3300	161	18	respect	respect	NOUN
cana-3300	161	19	to	to	ADP
cana-3300	161	20	the	the	DET
cana-3300	161	21	number	number	NOUN
cana-3300	161	22	of	of	ADP
cana-3300	161	23	iterations	iteration	NOUN
cana-3300	161	24	is	be	AUX
cana-3300	161	25	firstly	firstly	ADV
cana-3300	161	26	assessed	assess	VERB
cana-3300	161	27	,	,	PUNCT
cana-3300	161	28	and	and	CCONJ
cana-3300	161	29	the	the	DET
cana-3300	161	30	results	result	NOUN
cana-3300	161	31	are	be	AUX
cana-3300	161	32	presented	present	VERB
cana-3300	161	33	in	in	ADP
cana-3300	161	34	fig	fig	NOUN
cana-3300	161	35	.	.	PUNCT
cana-3300	162	1	1	1	NUM
cana-3300	162	2	and	and	CCONJ
cana-3300	162	3	fig	fig	NOUN
cana-3300	162	4	.	.	PUNCT
cana-3300	163	1	2	2	NUM
cana-3300	163	2	accordingly	accordingly	ADV
cana-3300	163	3	.	.	PUNCT
cana-3300	164	1	both	both	DET
cana-3300	164	2	communications	communication	NOUN
cana-3300	164	3	on	on	ADP
cana-3300	164	4	applied	apply	VERB
cana-3300	164	5	nonlinear	nonlinear	ADJ
cana-3300	164	6	analysis	analysis	NOUN
cana-3300	164	7	issn	issn	NOUN
cana-3300	164	8	:	:	PUNCT
cana-3300	164	9	1074	1074	NUM
cana-3300	164	10	-	-	PUNCT
cana-3300	164	11	133x	133x	NUM
cana-3300	164	12	vol	vol	NOUN
cana-3300	164	13	32	32	NUM
cana-3300	164	14	no	no	NOUN
cana-3300	164	15	.	.	PUNCT
cana-3300	165	1	6s	6s	NUM
cana-3300	165	2	(	(	PUNCT
cana-3300	165	3	2025	2025	NUM
cana-3300	165	4	)	)	PUNCT
cana-3300	165	5	348	348	NUM
cana-3300	165	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3300	165	7	figures	figure	NOUN
cana-3300	165	8	show	show	VERB
cana-3300	165	9	that	that	SCONJ
cana-3300	165	10	the	the	DET
cana-3300	165	11	overall	overall	ADJ
cana-3300	165	12	convergence	convergence	NOUN
cana-3300	165	13	is	be	AUX
cana-3300	165	14	at	at	ADP
cana-3300	165	15	about	about	ADV
cana-3300	165	16	70	70	NUM
cana-3300	165	17	iterations	iteration	NOUN
cana-3300	165	18	.	.	PUNCT
cana-3300	166	1	the	the	DET
cana-3300	166	2	current	current	ADJ
cana-3300	166	3	analysis	analysis	NOUN
cana-3300	166	4	reports	report	NOUN
cana-3300	166	5	result	result	VERB
cana-3300	166	6	of	of	ADP
cana-3300	166	7	the	the	DET
cana-3300	166	8	parameter	parameter	NOUN
cana-3300	166	9	estimated	estimate	VERB
cana-3300	166	10	in	in	ADP
cana-3300	166	11	running	run	VERB
cana-3300	166	12	the	the	DET
cana-3300	166	13	program	program	NOUN
cana-3300	166	14	for	for	ADP
cana-3300	166	15	200	200	NUM
cana-3300	166	16	iterations	iteration	NOUN
cana-3300	166	17	.	.	PUNCT
cana-3300	167	1	results	result	NOUN
cana-3300	167	2	from	from	ADP
cana-3300	167	3	second	second	ADJ
cana-3300	167	4	order	order	NOUN
cana-3300	167	5	sma	sma	NOUN
cana-3300	167	6	polynomial	polynomial	ADJ
cana-3300	167	7	:	:	PUNCT
cana-3300	167	8	the	the	DET
cana-3300	167	9	obtained	obtain	VERB
cana-3300	167	10	ml	ml	NOUN
cana-3300	167	11	estimate	estimate	NOUN
cana-3300	167	12	of	of	ADP
cana-3300	167	13	the	the	DET
cana-3300	167	14	parameters	parameter	NOUN
cana-3300	167	15	,	,	PUNCT
cana-3300	167	16	its	its	PRON
cana-3300	167	17	standard	standard	ADJ
cana-3300	167	18	error	error	NOUN
cana-3300	167	19	and	and	CCONJ
cana-3300	167	20	95	95	NUM
cana-3300	167	21	per	per	ADP
cana-3300	167	22	cent	cent	NOUN
cana-3300	167	23	exact	exact	ADJ
cana-3300	167	24	confidence	confidence	NOUN
cana-3300	167	25	interval	interval	NOUN
cana-3300	167	26	is	be	AUX
cana-3300	167	27	presented	present	VERB
cana-3300	167	28	in	in	ADP
cana-3300	167	29	table	table	NOUN
cana-3300	167	30	1	1	NUM
cana-3300	167	31	.	.	PUNCT
cana-3300	168	1	the	the	DET
cana-3300	168	2	variance	variance	NOUN
cana-3300	168	3	for	for	ADP
cana-3300	168	4	constructing	construct	VERB
cana-3300	168	5	the	the	DET
cana-3300	168	6	95	95	NUM
cana-3300	168	7	per	per	ADP
cana-3300	168	8	cent	cent	NOUN
cana-3300	168	9	exact	exact	ADJ
cana-3300	168	10	confidence	confidence	NOUN
cana-3300	168	11	interval	interval	NOUN
cana-3300	168	12	for	for	ADP
cana-3300	168	13	the	the	DET
cana-3300	168	14	covariates	covariate	NOUN
cana-3300	168	15	is	be	AUX
cana-3300	168	16	obtained	obtain	VERB
cana-3300	168	17	using	use	VERB
cana-3300	168	18	(	(	PUNCT
cana-3300	168	19	3.16	3.16	NUM
cana-3300	168	20	)	)	PUNCT
cana-3300	168	21	and	and	CCONJ
cana-3300	168	22	,	,	PUNCT
cana-3300	168	23	for	for	SCONJ
cana-3300	168	24	the	the	DET
cana-3300	168	25	two	two	NUM
cana-3300	168	26	spatial	spatial	ADJ
cana-3300	168	27	dependence	dependence	NOUN
cana-3300	168	28	parameters	parameter	NOUN
cana-3300	168	29	using	use	VERB
cana-3300	168	30	the	the	DET
cana-3300	168	31	inverse	inverse	NOUN
cana-3300	168	32	of	of	ADP
cana-3300	168	33	the	the	DET
cana-3300	168	34	information	information	NOUN
cana-3300	168	35	sub	sub	NOUN
cana-3300	168	36	-	-	NOUN
cana-3300	168	37	matrix	matrix	NOUN
cana-3300	168	38	involving	involve	VERB
cana-3300	168	39	21	21	NUM
cana-3300	168	40	2	2	NUM
cana-3300	168	41	,	,	PUNCT
cana-3300	168	42			PROPN
cana-3300	168	43	and	and	CCONJ
cana-3300	168	44	.	.	PUNCT
cana-3300	169	1	the	the	DET
cana-3300	169	2	table	table	NOUN
cana-3300	169	3	also	also	ADV
cana-3300	169	4	,	,	PUNCT
cana-3300	169	5	presents	present	VERB
cana-3300	169	6	bootstrap	bootstrap	NOUN
cana-3300	169	7	results	result	NOUN
cana-3300	169	8	based	base	VERB
cana-3300	169	9	on	on	ADP
cana-3300	169	10	1000	1000	NUM
cana-3300	169	11	resampled	resample	VERB
cana-3300	169	12	values	value	NOUN
cana-3300	169	13	,	,	PUNCT
cana-3300	169	14	and	and	CCONJ
cana-3300	169	15	its	its	PRON
cana-3300	169	16	respective	respective	ADJ
cana-3300	169	17	density	density	NOUN
cana-3300	169	18	plots	plot	NOUN
cana-3300	169	19	are	be	AUX
cana-3300	169	20	presented	present	VERB
cana-3300	169	21	in	in	ADP
cana-3300	169	22	fig	fig	NOUN
cana-3300	169	23	3	3	NUM
cana-3300	169	24	.	.	PUNCT
cana-3300	169	25	from	from	ADP
cana-3300	169	26	table	table	NOUN
cana-3300	169	27	1	1	NUM
cana-3300	169	28	,	,	PUNCT
cana-3300	169	29	it	it	PRON
cana-3300	169	30	is	be	AUX
cana-3300	169	31	observed	observe	VERB
cana-3300	169	32	that	that	SCONJ
cana-3300	169	33	both	both	CCONJ
cana-3300	169	34	the	the	DET
cana-3300	169	35	regression	regression	NOUN
cana-3300	169	36	parameters	parameter	NOUN
cana-3300	169	37	10	10	NUM
cana-3300	169	38			ADJ
cana-3300	169	39	and	and	CCONJ
cana-3300	169	40	are	be	AUX
cana-3300	169	41	significant	significant	ADJ
cana-3300	169	42	at	at	ADP
cana-3300	169	43	0.05	0.05	NUM
cana-3300	169	44	levels	level	NOUN
cana-3300	169	45	of	of	ADP
cana-3300	169	46	significance	significance	NOUN
cana-3300	169	47	.	.	PUNCT
cana-3300	170	1	the	the	DET
cana-3300	170	2	estimated	estimate	VERB
cana-3300	170	3	spatial	spatial	ADJ
cana-3300	170	4	dependence	dependence	NOUN
cana-3300	170	5	is	be	AUX
cana-3300	170	6	1.07464	1.07464	NUM
cana-3300	170	7	and	and	CCONJ
cana-3300	170	8	0.76755	0.76755	NUM
cana-3300	170	9	for	for	ADP
cana-3300	170	10	the	the	DET
cana-3300	170	11	first	first	ADJ
cana-3300	170	12	and	and	CCONJ
cana-3300	170	13	second	second	ADJ
cana-3300	170	14	lag	lag	NOUN
cana-3300	170	15	orders	order	NOUN
cana-3300	170	16	respectively	respectively	ADV
cana-3300	170	17	;	;	PUNCT
cana-3300	170	18	both	both	PRON
cana-3300	170	19	being	be	AUX
cana-3300	170	20	significant	significant	ADJ
cana-3300	170	21	at	at	ADP
cana-3300	170	22	5	5	NUM
cana-3300	170	23	per	per	NOUN
cana-3300	170	24	cent	cent	NOUN
cana-3300	170	25	significance	significance	NOUN
cana-3300	170	26	level	level	NOUN
cana-3300	170	27	.	.	PUNCT
cana-3300	171	1	bootstrap	bootstrap	NOUN
cana-3300	171	2	confidence	confidence	NOUN
cana-3300	171	3	interval	interval	NOUN
cana-3300	171	4	also	also	ADV
cana-3300	171	5	gives	give	VERB
cana-3300	171	6	similar	similar	ADJ
cana-3300	171	7	results	result	NOUN
cana-3300	171	8	for	for	ADP
cana-3300	171	9	the	the	DET
cana-3300	171	10	regression	regression	NOUN
cana-3300	171	11	parameters	parameter	NOUN
cana-3300	171	12	and	and	CCONJ
cana-3300	171	13	the	the	DET
cana-3300	171	14	two	two	NUM
cana-3300	171	15	spatial	spatial	ADJ
cana-3300	171	16	dependences	dependence	NOUN
cana-3300	171	17	.	.	PUNCT
cana-3300	172	1	the	the	DET
cana-3300	172	2	estimated	estimate	VERB
cana-3300	172	3	global	global	ADJ
cana-3300	172	4	variance	variance	NOUN
cana-3300	172	5	under	under	ADP
cana-3300	172	6	bootstrapping	bootstrappe	VERB
cana-3300	172	7	is	be	AUX
cana-3300	172	8	21.88125	21.88125	NUM
cana-3300	172	9	and	and	CCONJ
cana-3300	172	10	under	under	ADP
cana-3300	172	11	the	the	DET
cana-3300	172	12	ml	ml	ADJ
cana-3300	172	13	estimate	estimate	NOUN
cana-3300	172	14	is	be	AUX
cana-3300	172	15	25.05253	25.05253	NUM
cana-3300	172	16	.	.	PUNCT
cana-3300	173	1	the	the	DET
cana-3300	173	2	observed	observed	ADJ
cana-3300	173	3	response	response	NOUN
cana-3300	173	4	and	and	CCONJ
cana-3300	173	5	the	the	DET
cana-3300	173	6	estimated	estimate	VERB
cana-3300	173	7	response	response	NOUN
cana-3300	173	8	values	value	NOUN
cana-3300	173	9	under	under	ADP
cana-3300	173	10	the	the	DET
cana-3300	173	11	sma	sma	NOUN
cana-3300	173	12	polynomial	polynomial	ADJ
cana-3300	173	13	of	of	ADP
cana-3300	173	14	second	second	ADJ
cana-3300	173	15	order	order	NOUN
cana-3300	173	16	are	be	AUX
cana-3300	173	17	further	far	ADV
cana-3300	173	18	presented	present	VERB
cana-3300	173	19	in	in	ADP
cana-3300	173	20	a	a	DET
cana-3300	173	21	choropleth	choropleth	NOUN
cana-3300	173	22	map	map	NOUN
cana-3300	173	23	as	as	SCONJ
cana-3300	173	24	shown	show	VERB
cana-3300	173	25	in	in	ADP
cana-3300	173	26	fig	fig	NOUN
cana-3300	173	27	4	4	NUM
cana-3300	173	28	.	.	PUNCT
cana-3300	174	1	it	it	PRON
cana-3300	174	2	may	may	AUX
cana-3300	174	3	be	be	AUX
cana-3300	174	4	noticed	notice	VERB
cana-3300	174	5	from	from	ADP
cana-3300	174	6	the	the	DET
cana-3300	174	7	figure	figure	NOUN
cana-3300	174	8	that	that	SCONJ
cana-3300	174	9	second	second	ADJ
cana-3300	174	10	order	order	NOUN
cana-3300	174	11	sma	sma	VERB
cana-3300	174	12	polynomial	polynomial	ADJ
cana-3300	174	13	properly	properly	ADV
cana-3300	174	14	capture	capture	VERB
cana-3300	174	15	the	the	DET
cana-3300	174	16	variability	variability	NOUN
cana-3300	174	17	in	in	ADP
cana-3300	174	18	the	the	DET
cana-3300	174	19	dataset	dataset	NOUN
cana-3300	174	20	as	as	ADP
cana-3300	174	21	ranges	range	NOUN
cana-3300	174	22	of	of	ADP
cana-3300	174	23	the	the	DET
cana-3300	174	24	response	response	NOUN
cana-3300	174	25	values	value	NOUN
cana-3300	174	26	is	be	AUX
cana-3300	174	27	reduced	reduce	VERB
cana-3300	174	28	by	by	ADP
cana-3300	174	29	15	15	NUM
cana-3300	174	30	per	per	ADP
cana-3300	174	31	cent	cent	NOUN
cana-3300	174	32	from	from	ADP
cana-3300	174	33	the	the	DET
cana-3300	174	34	observed	observed	ADJ
cana-3300	174	35	values	value	NOUN
cana-3300	174	36	.	.	PUNCT
cana-3300	175	1	the	the	DET
cana-3300	175	2	observed	observed	ADJ
cana-3300	175	3	response	response	NOUN
cana-3300	175	4	ranges	range	VERB
cana-3300	175	5	from	from	ADP
cana-3300	175	6	212	212	NUM
cana-3300	175	7	to	to	ADP
cana-3300	175	8	329	329	NUM
cana-3300	175	9	whereas	whereas	SCONJ
cana-3300	175	10	the	the	DET
cana-3300	175	11	estimated	estimate	VERB
cana-3300	175	12	response	response	NOUN
cana-3300	175	13	ranges	range	VERB
cana-3300	175	14	between	between	ADP
cana-3300	175	15	219	219	NUM
cana-3300	175	16	and	and	CCONJ
cana-3300	175	17	320	320	NUM
cana-3300	175	18	.	.	PUNCT
cana-3300	175	19	fig	fig	NOUN
cana-3300	175	20	1	1	NUM
cana-3300	175	21	:	:	PUNCT
cana-3300	175	22	convergence	convergence	NOUN
cana-3300	175	23	plot	plot	NOUN
cana-3300	175	24	of	of	ADP
cana-3300	175	25	the	the	DET
cana-3300	175	26	optimized	optimize	VERB
cana-3300	175	27	log	log	NOUN
cana-3300	175	28	-	-	PUNCT
cana-3300	175	29	likelihood	likelihood	NOUN
cana-3300	175	30	function	function	NOUN
cana-3300	175	31	table	table	NOUN
cana-3300	175	32	1	1	NUM
cana-3300	175	33	:	:	PUNCT
cana-3300	175	34	parameter	parameter	NOUN
cana-3300	175	35	estimates	estimate	NOUN
cana-3300	175	36	,	,	PUNCT
cana-3300	175	37	its	its	PRON
cana-3300	175	38	standard	standard	ADJ
cana-3300	175	39	error	error	NOUN
cana-3300	175	40	and	and	CCONJ
cana-3300	175	41	95	95	NUM
cana-3300	175	42	per	per	ADP
cana-3300	175	43	cent	cent	NOUN
cana-3300	175	44	confidence	confidence	NOUN
cana-3300	175	45	interval	interval	NOUN
cana-3300	175	46	estimates	estimate	NOUN
cana-3300	175	47	(	(	PUNCT
cana-3300	175	48	se	se	X
cana-3300	175	49	)	)	PUNCT
cana-3300	175	50	exact	exact	ADJ
cana-3300	175	51	95	95	NUM
cana-3300	175	52	per	per	ADP
cana-3300	175	53	cent	cent	NOUN
cana-3300	175	54	ci	ci	NOUN
cana-3300	175	55	bootstrap	bootstrap	NOUN
cana-3300	175	56	mean	mean	NOUN
cana-3300	175	57	se	se	PROPN
cana-3300	175	58	95	95	NUM
cana-3300	175	59	per	per	ADP
cana-3300	175	60	cent	cent	NOUN
cana-3300	175	61	ci	ci	NOUN
cana-3300	175	62	0	0	NOUN
cana-3300	175	63	18.708	18.708	NUM
cana-3300	175	64	(	(	PUNCT
cana-3300	175	65	2.174	2.174	NUM
cana-3300	175	66	)	)	PUNCT
cana-3300	175	67	(	(	PUNCT
cana-3300	175	68	14.447	14.447	NUM
cana-3300	175	69	,	,	PUNCT
cana-3300	175	70	22.969	22.969	NUM
cana-3300	175	71	)	)	PUNCT
cana-3300	175	72	18.348	18.348	NUM
cana-3300	175	73	3.695	3.695	NUM
cana-3300	175	74	(	(	PUNCT
cana-3300	175	75	11.203	11.203	NUM
cana-3300	175	76	,	,	PUNCT
cana-3300	175	77	25.689	25.689	NUM
cana-3300	175	78	)	)	PUNCT
cana-3300	175	79	1	1	NUM
cana-3300	175	80	10.022	10.022	NUM
cana-3300	175	81	(	(	PUNCT
cana-3300	175	82	0.008	0.008	NUM
cana-3300	175	83	)	)	PUNCT
cana-3300	175	84	(	(	PUNCT
cana-3300	175	85	10.007	10.007	NUM
cana-3300	175	86	,	,	PUNCT
cana-3300	175	87	10.037	10.037	NUM
cana-3300	175	88	)	)	PUNCT
cana-3300	175	89	10.039	10.039	NUM
cana-3300	175	90	0.126	0.126	NUM
cana-3300	175	91	(	(	PUNCT
cana-3300	175	92	9.795	9.795	NUM
cana-3300	175	93	,	,	PUNCT
cana-3300	175	94	10.290	10.290	NUM
cana-3300	175	95	)	)	PUNCT
cana-3300	175	96	1	1	NOUN
cana-3300	175	97	1.075	1.075	NUM
cana-3300	175	98	(	(	PUNCT
cana-3300	175	99	0.009	0.009	NUM
cana-3300	175	100	)	)	PUNCT
cana-3300	175	101	(	(	PUNCT
cana-3300	175	102	1.057	1.057	NUM
cana-3300	175	103	,	,	PUNCT
cana-3300	175	104	1.093	1.093	NUM
cana-3300	175	105	)	)	PUNCT
cana-3300	175	106	1.143	1.143	NUM
cana-3300	175	107	0.111	0.111	NUM
cana-3300	175	108	(	(	PUNCT
cana-3300	175	109	0.913	0.913	NUM
cana-3300	175	110	,	,	PUNCT
cana-3300	175	111	1.352	1.352	NUM
cana-3300	175	112	)	)	PUNCT
cana-3300	175	113	2	2	NOUN
cana-3300	175	114	0.768	0.768	NUM
cana-3300	175	115	(	(	PUNCT
cana-3300	175	116	0.116	0.116	NUM
cana-3300	175	117	)	)	PUNCT
cana-3300	175	118	(	(	PUNCT
cana-3300	175	119	0.539	0.539	NUM
cana-3300	175	120	,	,	PUNCT
cana-3300	175	121	0.996	0.996	NUM
cana-3300	175	122	)	)	PUNCT
cana-3300	175	123	0.869	0.869	NUM
cana-3300	175	124	0.222	0.222	NUM
cana-3300	175	125	(	(	PUNCT
cana-3300	175	126	0.401	0.401	NUM
cana-3300	175	127	,	,	PUNCT
cana-3300	175	128	1.268	1.268	NUM
cana-3300	175	129	)	)	PUNCT
cana-3300	175	130			PROPN
cana-3300	175	131	5.005	5.005	NUM
cana-3300	175	132	4.678	4.678	NUM
cana-3300	175	133	aic	aic	PROPN
cana-3300	175	134	1646.873	1646.873	NUM
cana-3300	175	135	0	0	NUM
cana-3300	175	136	50	50	NUM
cana-3300	175	137	100	100	NUM
cana-3300	175	138	150	150	NUM
cana-3300	175	139	200	200	NUM
cana-3300	175	140	-8	-8	NUM
cana-3300	175	141	23	23	NUM
cana-3300	175	142	-8	-8	NUM
cana-3300	175	143	22	22	NUM
cana-3300	175	144	-8	-8	NUM
cana-3300	175	145	21	21	NUM
cana-3300	175	146	-8	-8	NUM
cana-3300	175	147	20	20	NUM
cana-3300	175	148	-8	-8	NUM
cana-3300	175	149	19	19	NUM
cana-3300	175	150	-8	-8	NUM
cana-3300	175	151	18	18	NUM
cana-3300	175	152	iteration	iteration	NOUN
cana-3300	176	1	lo	lo	NOUN
cana-3300	177	1	g	g	PROPN
cana-3300	178	1	lik	lik	PROPN
cana-3300	179	1	el	el	PROPN
cana-3300	180	1	ih	ih	PROPN
cana-3300	181	1	oo	oo	INTJ
cana-3300	181	2	d	d	X
cana-3300	181	3	end	end	NOUN
cana-3300	181	4	value=	value=	PUNCT
cana-3300	182	1	-818.4365	-818.4365	PROPN
cana-3300	182	2	communications	communication	NOUN
cana-3300	182	3	on	on	ADP
cana-3300	182	4	applied	apply	VERB
cana-3300	182	5	nonlinear	nonlinear	ADJ
cana-3300	182	6	analysis	analysis	NOUN
cana-3300	182	7	issn	issn	NOUN
cana-3300	182	8	:	:	PUNCT
cana-3300	182	9	1074	1074	NUM
cana-3300	182	10	-	-	PUNCT
cana-3300	182	11	133x	133x	NUM
cana-3300	182	12	vol	vol	NOUN
cana-3300	182	13	32	32	NUM
cana-3300	182	14	no	no	NOUN
cana-3300	182	15	.	.	PUNCT
cana-3300	183	1	6s	6s	NUM
cana-3300	183	2	(	(	PUNCT
cana-3300	183	3	2025	2025	NUM
cana-3300	183	4	)	)	PUNCT
cana-3300	183	5	349	349	NUM
cana-3300	183	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3300	183	7	*	*	PUNCT
cana-3300	183	8	se	se	PROPN
cana-3300	183	9	stands	stand	VERB
cana-3300	183	10	for	for	ADP
cana-3300	183	11	standard	standard	ADJ
cana-3300	183	12	error	error	NOUN
cana-3300	183	13	and	and	CCONJ
cana-3300	183	14	ci	ci	NOUN
cana-3300	183	15	for	for	ADP
cana-3300	183	16	confidence	confidence	NOUN
cana-3300	183	17	interval	interval	NOUN
cana-3300	183	18	simultaneous	simultaneous	ADJ
cana-3300	183	19	confidence	confidence	NOUN
cana-3300	183	20	region	region	NOUN
cana-3300	183	21	between	between	ADP
cana-3300	183	22	21	21	NUM
cana-3300	183	23			ADV
cana-3300	183	24	and	and	CCONJ
cana-3300	183	25	:	:	PUNCT
cana-3300	183	26	the	the	DET
cana-3300	183	27	simultaneous	simultaneous	ADJ
cana-3300	183	28	confidence	confidence	NOUN
cana-3300	183	29	region	region	NOUN
cana-3300	183	30	for	for	ADP
cana-3300	183	31	the	the	DET
cana-3300	183	32	two	two	NUM
cana-3300	183	33	spatial	spatial	ADJ
cana-3300	183	34	dependence	dependence	NOUN
cana-3300	183	35	parameters	parameter	NOUN
cana-3300	183	36	based	base	VERB
cana-3300	183	37	on	on	ADP
cana-3300	183	38	likelihood	likelihood	NOUN
cana-3300	183	39	ratio	ratio	NOUN
cana-3300	183	40	(	(	PUNCT
cana-3300	183	41	lr	lr	NOUN
cana-3300	183	42	)	)	PUNCT
cana-3300	183	43	test	test	NOUN
cana-3300	183	44	statistic	statistic	NOUN
cana-3300	183	45	and	and	CCONJ
cana-3300	183	46	bootstrap	bootstrap	NOUN
cana-3300	183	47	results	result	NOUN
cana-3300	183	48	is	be	AUX
cana-3300	183	49	constructed	construct	VERB
cana-3300	183	50	.	.	PUNCT
cana-3300	184	1	the	the	DET
cana-3300	184	2	simultaneous	simultaneous	ADJ
cana-3300	184	3	confidence	confidence	NOUN
cana-3300	184	4	region	region	NOUN
cana-3300	184	5	based	base	VERB
cana-3300	184	6	on	on	ADP
cana-3300	184	7	lr	lr	PROPN
cana-3300	184	8	test	test	NOUN
cana-3300	184	9	is	be	AUX
cana-3300	184	10	obtained	obtain	VERB
cana-3300	184	11	by	by	ADP
cana-3300	184	12	firstly	firstly	ADV
cana-3300	184	13	generating	generate	VERB
cana-3300	184	14	21	21	NUM
cana-3300	184	15			NOUN
cana-3300	184	16	and	and	CCONJ
cana-3300	184	17	within	within	ADP
cana-3300	184	18	(	(	PUNCT
cana-3300	184	19	-1	-1	ADJ
cana-3300	184	20	,	,	PUNCT
cana-3300	184	21	1.611	1.611	NUM
cana-3300	184	22	)	)	PUNCT
cana-3300	184	23	and	and	CCONJ
cana-3300	184	24	(	(	PUNCT
cana-3300	184	25	-1	-1	INTJ
cana-3300	184	26	,	,	PUNCT
cana-3300	184	27	1.919	1.919	NUM
cana-3300	184	28	)	)	PUNCT
cana-3300	184	29	respectively	respectively	ADV
cana-3300	184	30	.	.	PUNCT
cana-3300	185	1	the	the	DET
cana-3300	185	2	likelihood	likelihood	NOUN
cana-3300	185	3	values	value	NOUN
cana-3300	185	4	with	with	ADP
cana-3300	185	5	the	the	DET
cana-3300	185	6	different	different	ADJ
cana-3300	185	7	combinations	combination	NOUN
cana-3300	185	8	of	of	ADP
cana-3300	185	9	21	21	NUM
cana-3300	185	10			NOUN
cana-3300	185	11	and	and	CCONJ
cana-3300	185	12	is	be	AUX
cana-3300	185	13	calculated	calculate	VERB
cana-3300	185	14	;	;	PUNCT
cana-3300	185	15	then	then	ADV
cana-3300	185	16	only	only	ADV
cana-3300	185	17	those	those	DET
cana-3300	185	18	combinations	combination	NOUN
cana-3300	185	19	of	of	ADP
cana-3300	185	20	21	21	NUM
cana-3300	185	21			NOUN
cana-3300	185	22	and	and	CCONJ
cana-3300	185	23	which	which	PRON
cana-3300	185	24	gives	give	VERB
cana-3300	185	25	the	the	DET
cana-3300	185	26	likelihood	likelihood	NOUN
cana-3300	185	27	value	value	NOUN
cana-3300	185	28	greater	great	ADJ
cana-3300	185	29	than	than	ADP
cana-3300	185	30	or	or	CCONJ
cana-3300	185	31	equal	equal	ADJ
cana-3300	185	32	to	to	ADP
cana-3300	185	33	the	the	DET
cana-3300	185	34	maximized	maximize	VERB
cana-3300	185	35	log	log	NOUN
cana-3300	185	36	likelihood	likelihood	NOUN
cana-3300	185	37	values	value	NOUN
cana-3300	185	38	at	at	ADP
cana-3300	185	39	95	95	NUM
cana-3300	185	40	per	per	ADP
cana-3300	185	41	cent	cent	NOUN
cana-3300	185	42	confidence	confidence	NOUN
cana-3300	185	43	level	level	NOUN
cana-3300	185	44	is	be	AUX
cana-3300	185	45	taken	take	VERB
cana-3300	185	46	.	.	PUNCT
cana-3300	186	1	hence	hence	ADV
cana-3300	186	2	,	,	PUNCT
cana-3300	186	3	the	the	DET
cana-3300	186	4	lr	lr	NOUN
cana-3300	186	5	based	base	VERB
cana-3300	186	6	simultaneous	simultaneous	ADJ
cana-3300	186	7	confidence	confidence	NOUN
cana-3300	186	8	region	region	NOUN
cana-3300	186	9	is	be	AUX
cana-3300	186	10	as	as	ADP
cana-3300	186	11	presented	present	VERB
cana-3300	186	12	in	in	ADP
cana-3300	186	13	fig	fig	NOUN
cana-3300	186	14	5	5	NUM
cana-3300	186	15	(	(	PUNCT
cana-3300	186	16	a	a	NOUN
cana-3300	186	17	)	)	PUNCT
cana-3300	186	18	.	.	PUNCT
cana-3300	187	1	bootstrap	bootstrap	NOUN
cana-3300	187	2	based	base	VERB
cana-3300	187	3	confidence	confidence	NOUN
cana-3300	187	4	region	region	NOUN
cana-3300	187	5	is	be	AUX
cana-3300	187	6	constructed	construct	VERB
cana-3300	187	7	by	by	ADP
cana-3300	187	8	taking	take	VERB
cana-3300	187	9	the	the	DET
cana-3300	187	10	lower	low	ADJ
cana-3300	187	11	95	95	NUM
cana-3300	187	12	per	per	NOUN
cana-3300	187	13	cent	cent	NOUN
cana-3300	187	14	values	value	NOUN
cana-3300	187	15	of	of	ADP
cana-3300	187	16	the	the	DET
cana-3300	187	17	mahalanobis	mahalanobis	ADJ
cana-3300	187	18	distance	distance	NOUN
cana-3300	187	19	between	between	ADP
cana-3300	187	20	the	the	DET
cana-3300	187	21	bootstrap	bootstrap	NOUN
cana-3300	187	22	vector	vector	NOUN
cana-3300	187	23	values	value	NOUN
cana-3300	187	24	of	of	ADP
cana-3300	187	25	21	21	NUM
cana-3300	187	26			NOUN
cana-3300	187	27	and	and	CCONJ
cana-3300	187	28	and	and	CCONJ
cana-3300	187	29	the	the	DET
cana-3300	187	30	region	region	NOUN
cana-3300	187	31	is	be	AUX
cana-3300	187	32	as	as	ADP
cana-3300	187	33	presented	present	VERB
cana-3300	187	34	in	in	ADP
cana-3300	187	35	fig	fig	NOUN
cana-3300	187	36	5(b	5(b	NUM
cana-3300	187	37	)	)	PUNCT
cana-3300	187	38	.	.	PUNCT
cana-3300	188	1	fig	fig	NOUN
cana-3300	188	2	2	2	NUM
cana-3300	188	3	:	:	PUNCT
cana-3300	188	4	convergence	convergence	NOUN
cana-3300	188	5	plot	plot	NOUN
cana-3300	188	6	of	of	ADP
cana-3300	188	7	the	the	DET
cana-3300	188	8	parameter	parameter	NOUN
cana-3300	188	9	estimate	estimate	NOUN
cana-3300	188	10	from	from	ADP
cana-3300	188	11	both	both	DET
cana-3300	188	12	figures	figure	NOUN
cana-3300	188	13	in	in	ADP
cana-3300	188	14	fig	fig	NOUN
cana-3300	188	15	5	5	NUM
cana-3300	188	16	,	,	PUNCT
cana-3300	188	17	it	it	PRON
cana-3300	188	18	may	may	AUX
cana-3300	188	19	be	be	AUX
cana-3300	188	20	noticed	notice	VERB
cana-3300	188	21	that	that	SCONJ
cana-3300	188	22	there	there	PRON
cana-3300	188	23	is	be	VERB
cana-3300	188	24	a	a	DET
cana-3300	188	25	positive	positive	ADJ
cana-3300	188	26	correlation	correlation	NOUN
cana-3300	188	27	between	between	ADP
cana-3300	188	28	21	21	NUM
cana-3300	188	29			NOUN
cana-3300	188	30	and	and	CCONJ
cana-3300	188	31	.	.	PUNCT
cana-3300	189	1	the	the	DET
cana-3300	189	2	calculated	calculate	VERB
cana-3300	189	3	correlation	correlation	NOUN
cana-3300	189	4	coefficient	coefficient	NOUN
cana-3300	189	5	between	between	ADP
cana-3300	189	6	them	they	PRON
cana-3300	189	7	is	be	AUX
cana-3300	189	8	0.249	0.249	NUM
cana-3300	189	9	for	for	ADP
cana-3300	189	10	lr	lr	NOUN
cana-3300	189	11	test	test	NOUN
cana-3300	189	12	and	and	CCONJ
cana-3300	189	13	0.376	0.376	NOUN
cana-3300	189	14	for	for	ADP
cana-3300	189	15	bootstrap	bootstrap	NOUN
cana-3300	189	16	values	value	NOUN
cana-3300	189	17	with	with	ADP
cana-3300	189	18	both	both	CCONJ
cana-3300	189	19	p	p	NOUN
cana-3300	189	20	-	-	PUNCT
cana-3300	189	21	values	value	NOUN
cana-3300	189	22	being	be	AUX
cana-3300	189	23	less	less	ADJ
cana-3300	189	24	than	than	ADP
cana-3300	189	25	the	the	DET
cana-3300	189	26	0.05	0.05	NUM
cana-3300	189	27	significance	significance	NOUN
cana-3300	189	28	level	level	NOUN
cana-3300	189	29	.	.	PUNCT
cana-3300	190	1	the	the	DET
cana-3300	190	2	95	95	NUM
cana-3300	190	3	per	per	NOUN
cana-3300	190	4	cent	cent	NOUN
cana-3300	190	5	confidence	confidence	NOUN
cana-3300	190	6	interval	interval	NOUN
cana-3300	190	7	based	base	VERB
cana-3300	190	8	on	on	ADP
cana-3300	190	9	lr	lr	PROPN
cana-3300	190	10	statistic	statistic	NOUN
cana-3300	190	11	is	be	AUX
cana-3300	190	12	(	(	PUNCT
cana-3300	190	13	0.929	0.929	NUM
cana-3300	190	14	,	,	PUNCT
cana-3300	190	15	1.184	1.184	NUM
cana-3300	190	16	)	)	PUNCT
cana-3300	190	17	for	for	ADP
cana-3300	190	18	1	1	NOUN
cana-3300	190	19	and	and	CCONJ
cana-3300	190	20	for	for	ADP
cana-3300	190	21	2	2	PROPN
cana-3300	190	22	is	be	AUX
cana-3300	190	23	(	(	PUNCT
cana-3300	190	24	0.426	0.426	NUM
cana-3300	190	25	,	,	PUNCT
cana-3300	190	26	1.049	1.049	NUM
cana-3300	190	27	)	)	PUNCT
cana-3300	190	28	.	.	PUNCT
cana-3300	191	1	based	base	VERB
cana-3300	191	2	on	on	ADP
cana-3300	191	3	bootstrap	bootstrap	NOUN
cana-3300	191	4	values	value	NOUN
cana-3300	191	5	,	,	PUNCT
cana-3300	191	6	the	the	DET
cana-3300	191	7	95	95	NUM
cana-3300	191	8	per	per	ADP
cana-3300	191	9	cent	cent	NOUN
cana-3300	191	10	confidence	confidence	NOUN
cana-3300	191	11	interval	interval	NOUN
cana-3300	191	12	is	be	AUX
cana-3300	191	13	(	(	PUNCT
cana-3300	191	14	0.913	0.913	NUM
cana-3300	191	15	,	,	PUNCT
cana-3300	191	16	1.352	1.352	NUM
cana-3300	191	17	)	)	PUNCT
cana-3300	191	18	and	and	CCONJ
cana-3300	191	19	(	(	PUNCT
cana-3300	191	20	0.401	0.401	NUM
cana-3300	191	21	,	,	PUNCT
cana-3300	191	22	1.268	1.268	NUM
cana-3300	191	23	)	)	PUNCT
cana-3300	191	24	for	for	ADP
cana-3300	191	25	21	21	NUM
cana-3300	191	26			NOUN
cana-3300	191	27	and	and	CCONJ
cana-3300	191	28	respectively	respectively	ADV
cana-3300	191	29	.	.	PUNCT
cana-3300	192	1	0	0	NUM
cana-3300	193	1	50	50	NUM
cana-3300	193	2	100	100	NUM
cana-3300	193	3	150	150	NUM
cana-3300	193	4	200	200	NUM
cana-3300	193	5	15	15	NUM
cana-3300	193	6	17	17	NUM
cana-3300	193	7	19	19	NUM
cana-3300	193	8	iteration	iteration	NOUN
cana-3300	193	9	0	0	NUM
cana-3300	193	10	0	0	NUM
cana-3300	194	1	50	50	NUM
cana-3300	194	2	100	100	NUM
cana-3300	194	3	150	150	NUM
cana-3300	194	4	200	200	NUM
cana-3300	194	5	10	10	NUM
cana-3300	194	6	.0	.0	NUM
cana-3300	194	7	2	2	NUM
cana-3300	194	8	10	10	NUM
cana-3300	194	9	.0	.0	NUM
cana-3300	194	10	8	8	NUM
cana-3300	194	11	iteration	iteration	NOUN
cana-3300	194	12	1	1	NUM
cana-3300	194	13	0	0	NUM
cana-3300	194	14	50	50	NUM
cana-3300	194	15	100	100	NUM
cana-3300	194	16	150	150	NUM
cana-3300	194	17	200	200	NUM
cana-3300	194	18	-2	-2	NOUN
cana-3300	194	19	00	00	NUM
cana-3300	195	1	40	40	NUM
cana-3300	195	2	0	0	NUM
cana-3300	195	3	iteration	iteration	NOUN
cana-3300	195	4	0	0	NUM
cana-3300	195	5	50	50	NUM
cana-3300	195	6	100	100	NUM
cana-3300	195	7	150	150	NUM
cana-3300	195	8	200	200	NUM
cana-3300	195	9	1	1	NUM
cana-3300	195	10	.	.	PUNCT
cana-3300	195	11	05	05	NUM
cana-3300	196	1	1	1	NUM
cana-3300	196	2	.	.	SYM
cana-3300	196	3	15	15	NUM
cana-3300	196	4	iteration	iteration	NOUN
cana-3300	196	5	1	1	NUM
cana-3300	196	6	0	0	NUM
cana-3300	196	7	50	50	NUM
cana-3300	196	8	100	100	NUM
cana-3300	196	9	150	150	NUM
cana-3300	196	10	200	200	NUM
cana-3300	196	11	0	0	NUM
cana-3300	196	12	.	.	NOUN
cana-3300	196	13	6	6	NUM
cana-3300	196	14	0	0	NUM
cana-3300	196	15	.	.	NOUN
cana-3300	196	16	8	8	NUM
cana-3300	196	17	iteration	iteration	NOUN
cana-3300	196	18	2	2	NUM
cana-3300	196	19	communications	communication	NOUN
cana-3300	196	20	on	on	ADP
cana-3300	196	21	applied	apply	VERB
cana-3300	196	22	nonlinear	nonlinear	ADJ
cana-3300	196	23	analysis	analysis	NOUN
cana-3300	196	24	issn	issn	NOUN
cana-3300	196	25	:	:	PUNCT
cana-3300	196	26	1074	1074	NUM
cana-3300	196	27	-	-	PUNCT
cana-3300	196	28	133x	133x	NUM
cana-3300	196	29	vol	vol	NOUN
cana-3300	196	30	32	32	NUM
cana-3300	196	31	no	no	NOUN
cana-3300	196	32	.	.	PUNCT
cana-3300	197	1	6s	6s	NUM
cana-3300	197	2	(	(	PUNCT
cana-3300	197	3	2025	2025	NUM
cana-3300	197	4	)	)	PUNCT
cana-3300	197	5	350	350	NUM
cana-3300	197	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3300	197	7	fig	fig	NOUN
cana-3300	197	8	3	3	NUM
cana-3300	197	9	:	:	PUNCT
cana-3300	197	10	bootstrap	bootstrap	NOUN
cana-3300	197	11	result	result	NOUN
cana-3300	197	12	density	density	NOUN
cana-3300	197	13	plots	plot	NOUN
cana-3300	197	14	(	(	PUNCT
cana-3300	197	15	a	a	X
cana-3300	197	16	)	)	PUNCT
cana-3300	197	17	(	(	PUNCT
cana-3300	197	18	b	b	X
cana-3300	197	19	)	)	PUNCT
cana-3300	197	20	fig	fig	NOUN
cana-3300	197	21	4	4	NUM
cana-3300	197	22	:	:	PUNCT
cana-3300	197	23	(	(	PUNCT
cana-3300	197	24	a	a	X
cana-3300	197	25	)	)	PUNCT
cana-3300	197	26	observed	observed	ADJ
cana-3300	197	27	response	response	NOUN
cana-3300	197	28	,	,	PUNCT
cana-3300	197	29	and	and	CCONJ
cana-3300	197	30	(	(	PUNCT
cana-3300	197	31	b	b	NOUN
cana-3300	197	32	)	)	PUNCT
cana-3300	197	33	estimated	estimate	VERB
cana-3300	197	34	response	response	NOUN
cana-3300	197	35	under	under	ADP
cana-3300	197	36	second	second	ADJ
cana-3300	197	37	order	order	NOUN
cana-3300	197	38	sma	sma	NOUN
cana-3300	197	39	polynomial	polynomial	ADJ
cana-3300	197	40	5	5	NUM
cana-3300	197	41	15	15	NUM
cana-3300	197	42	25	25	NUM
cana-3300	197	43	0.0	0.0	NUM
cana-3300	197	44	0	0	NUM
cana-3300	197	45	0.0	0.0	NUM
cana-3300	197	46	4	4	NUM
cana-3300	197	47	0.0	0.0	NUM
cana-3300	197	48	8	8	NUM
cana-3300	197	49	(	(	PUNCT
cana-3300	197	50	a	a	NOUN
cana-3300	197	51	)	)	PUNCT
cana-3300	197	52	de	de	PROPN
cana-3300	197	53	ns	ns	NUM
cana-3300	197	54	ity	ity	PROPN
cana-3300	197	55	0	0	NUM
cana-3300	197	56	9.6	9.6	NUM
cana-3300	197	57	10.0	10.0	NUM
cana-3300	197	58	10.4	10.4	NUM
cana-3300	197	59	0.0	0.0	NUM
cana-3300	197	60	1.0	1.0	NUM
cana-3300	197	61	2.0	2.0	NUM
cana-3300	197	62	3.0	3.0	NUM
cana-3300	197	63	(	(	PUNCT
cana-3300	197	64	b	b	NOUN
cana-3300	197	65	)	)	PUNCT
cana-3300	197	66	de	de	NOUN
cana-3300	197	67	ns	ns	NUM
cana-3300	197	68	ity	ity	PROPN
cana-3300	197	69	1	1	NUM
cana-3300	197	70	0.8	0.8	NUM
cana-3300	197	71	1.2	1.2	NUM
cana-3300	197	72	1.6	1.6	NUM
cana-3300	197	73	0.0	0.0	NUM
cana-3300	197	74	1.0	1.0	NUM
cana-3300	197	75	2.0	2.0	NUM
cana-3300	197	76	3.0	3.0	NUM
cana-3300	197	77	(	(	PUNCT
cana-3300	197	78	c	c	NOUN
cana-3300	197	79	)	)	PUNCT
cana-3300	197	80	de	de	NOUN
cana-3300	197	81	ns	ns	NUM
cana-3300	197	82	ity	ity	PROPN
cana-3300	197	83	1	1	NUM
cana-3300	197	84	0.0	0.0	NUM
cana-3300	197	85	0.5	0.5	NUM
cana-3300	197	86	1.0	1.0	NUM
cana-3300	197	87	1.5	1.5	NUM
cana-3300	197	88	0.0	0.0	NUM
cana-3300	197	89	0.5	0.5	NUM
cana-3300	197	90	1.0	1.0	NUM
cana-3300	197	91	1.5	1.5	NUM
cana-3300	197	92	(	(	PUNCT
cana-3300	197	93	d	d	NOUN
cana-3300	197	94	)	)	PUNCT
cana-3300	197	95	de	de	NOUN
cana-3300	197	96	ns	ns	NUM
cana-3300	197	97	ity	ity	PROPN
cana-3300	197	98	2	2	NUM
cana-3300	197	99	3.0	3.0	NUM
cana-3300	197	100	4.0	4.0	NUM
cana-3300	197	101	5.0	5.0	NUM
cana-3300	197	102	6.0	6.0	NUM
cana-3300	197	103	0.0	0.0	NUM
cana-3300	197	104	0.2	0.2	NUM
cana-3300	197	105	0.4	0.4	NUM
cana-3300	197	106	0.6	0.6	NUM
cana-3300	197	107	0.8	0.8	NUM
cana-3300	197	108	1.0	1.0	NUM
cana-3300	197	109	(	(	PUNCT
cana-3300	197	110	e	e	NOUN
cana-3300	197	111	)	)	PUNCT
cana-3300	198	1	de	de	X
cana-3300	198	2	ns	ns	NUM
cana-3300	198	3	ity	ity	PROPN
cana-3300	198	4	observed	observe	VERB
cana-3300	198	5	(	(	PUNCT
cana-3300	198	6	212,241	212,241	NUM
cana-3300	198	7	]	]	PUNCT
cana-3300	198	8	(	(	PUNCT
cana-3300	198	9	241,261	241,261	NUM
cana-3300	198	10	]	]	PUNCT
cana-3300	198	11	(	(	PUNCT
cana-3300	198	12	261,282	261,282	NUM
cana-3300	198	13	]	]	PUNCT
cana-3300	198	14	(	(	PUNCT
cana-3300	198	15	282,303	282,303	NUM
cana-3300	198	16	]	]	PUNCT
cana-3300	198	17	(	(	PUNCT
cana-3300	198	18	303,329	303,329	NUM
cana-3300	198	19	]	]	PUNCT
cana-3300	198	20	estimated	estimate	VERB
cana-3300	198	21	(	(	PUNCT
cana-3300	198	22	220,242	220,242	NUM
cana-3300	198	23	]	]	PUNCT
cana-3300	198	24	(	(	PUNCT
cana-3300	198	25	242,260	242,260	NUM
cana-3300	198	26	]	]	PUNCT
cana-3300	198	27	(	(	PUNCT
cana-3300	198	28	260,280	260,280	NUM
cana-3300	198	29	]	]	PUNCT
cana-3300	198	30	(	(	PUNCT
cana-3300	198	31	280,302	280,302	NUM
cana-3300	198	32	]	]	X
cana-3300	198	33	(	(	PUNCT
cana-3300	198	34	302,319	302,319	NUM
cana-3300	198	35	]	]	PUNCT
cana-3300	198	36	communications	communication	NOUN
cana-3300	198	37	on	on	ADP
cana-3300	198	38	applied	apply	VERB
cana-3300	198	39	nonlinear	nonlinear	ADJ
cana-3300	198	40	analysis	analysis	NOUN
cana-3300	198	41	issn	issn	NOUN
cana-3300	198	42	:	:	PUNCT
cana-3300	198	43	1074	1074	NUM
cana-3300	198	44	-	-	PUNCT
cana-3300	198	45	133x	133x	NUM
cana-3300	198	46	vol	vol	NOUN
cana-3300	198	47	32	32	NUM
cana-3300	198	48	no	no	NOUN
cana-3300	198	49	.	.	PUNCT
cana-3300	199	1	6s	6s	NUM
cana-3300	199	2	(	(	PUNCT
cana-3300	199	3	2025	2025	NUM
cana-3300	199	4	)	)	PUNCT
cana-3300	199	5	351	351	NUM
cana-3300	199	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3300	199	7	(	(	PUNCT
cana-3300	199	8	a	a	NOUN
cana-3300	199	9	)	)	PUNCT
cana-3300	199	10	(	(	PUNCT
cana-3300	199	11	b	b	X
cana-3300	199	12	)	)	PUNCT
cana-3300	199	13	fig	fig	NOUN
cana-3300	199	14	5	5	NUM
cana-3300	199	15	:	:	PUNCT
cana-3300	199	16	simultaneous	simultaneous	ADJ
cana-3300	199	17	confidence	confidence	NOUN
cana-3300	199	18	region	region	NOUN
cana-3300	199	19	between	between	ADP
cana-3300	199	20	21	21	NUM
cana-3300	199	21			ADV
cana-3300	199	22	and	and	CCONJ
cana-3300	199	23	based	base	VERB
cana-3300	199	24	on	on	ADP
cana-3300	199	25	lr	lr	NOUN
cana-3300	199	26	test	test	NOUN
cana-3300	199	27	and	and	CCONJ
cana-3300	199	28	bootstrap	bootstrap	NOUN
cana-3300	199	29	table	table	NOUN
cana-3300	199	30	2	2	NUM
cana-3300	199	31	:	:	PUNCT
cana-3300	199	32	parameter	parameter	NOUN
cana-3300	199	33	estimates	estimate	NOUN
cana-3300	199	34	with	with	ADP
cana-3300	199	35	its	its	PRON
cana-3300	199	36	95	95	NUM
cana-3300	199	37	per	per	NOUN
cana-3300	199	38	cent	cent	NOUN
cana-3300	199	39	confidence	confidence	NOUN
cana-3300	199	40	interval	interval	NOUN
cana-3300	199	41	under	under	ADP
cana-3300	199	42	the	the	DET
cana-3300	199	43	linear	linear	PROPN
cana-3300	199	44	model	model	NOUN
cana-3300	199	45	,	,	PUNCT
cana-3300	199	46	first	first	ADJ
cana-3300	199	47	order	order	NOUN
cana-3300	199	48	sma	sma	NOUN
cana-3300	199	49	and	and	CCONJ
cana-3300	199	50	second	second	ADJ
cana-3300	199	51	order	order	NOUN
cana-3300	199	52	sma	sma	VERB
cana-3300	199	53	polynomial	polynomial	ADJ
cana-3300	199	54	linear	linear	PROPN
cana-3300	199	55	models	model	NOUN
cana-3300	199	56	first	first	ADV
cana-3300	199	57	order	order	NOUN
cana-3300	199	58	sma	sma	VERB
cana-3300	199	59	second	second	ADJ
cana-3300	199	60	order	order	NOUN
cana-3300	199	61	sma	sma	VERB
cana-3300	199	62	polynomial	polynomial	ADJ
cana-3300	199	63	0	0	NOUN
cana-3300	199	64	17.579	17.579	NUM
cana-3300	199	65	(	(	PUNCT
cana-3300	199	66	11.139	11.139	NUM
cana-3300	199	67	,	,	PUNCT
cana-3300	199	68	24.019	24.019	NUM
cana-3300	199	69	)	)	PUNCT
cana-3300	199	70	19.205	19.205	NUM
cana-3300	199	71	(	(	PUNCT
cana-3300	199	72	14.891	14.891	NUM
cana-3300	199	73	,	,	PUNCT
cana-3300	199	74	23.518	23.518	NUM
cana-3300	199	75	)	)	PUNCT
cana-3300	199	76	18.7083	18.7083	NUM
cana-3300	199	77	(	(	PUNCT
cana-3300	199	78	14.447	14.447	NUM
cana-3300	199	79	,	,	PUNCT
cana-3300	199	80	22.969	22.969	NUM
cana-3300	199	81	)	)	PUNCT
cana-3300	200	1	1	1	PROPN
cana-3300	200	2	10.074	10.074	NUM
cana-3300	200	3	(	(	PUNCT
cana-3300	200	4	9.819	9.819	NUM
cana-3300	200	5	,	,	PUNCT
cana-3300	200	6	10.328	10.328	NUM
cana-3300	200	7	)	)	PUNCT
cana-3300	200	8	10.00709	10.00709	NUM
cana-3300	200	9	(	(	PUNCT
cana-3300	200	10	9.992	9.992	NUM
cana-3300	200	11	,	,	PUNCT
cana-3300	200	12	10.023	10.023	NUM
cana-3300	200	13	)	)	PUNCT
cana-3300	200	14	10.02187	10.02187	NUM
cana-3300	200	15	(	(	PUNCT
cana-3300	200	16	10.007	10.007	NUM
cana-3300	200	17	,	,	PUNCT
cana-3300	200	18	10.037	10.037	NUM
cana-3300	200	19	)	)	PUNCT
cana-3300	200	20	1	1	NOUN
cana-3300	201	1	_	_	PUNCT
cana-3300	202	1	_	_	PUNCT
cana-3300	203	1	_	_	PUNCT
cana-3300	204	1	_	_	PUNCT
cana-3300	205	1	1.007568	1.007568	NUM
cana-3300	205	2	(	(	PUNCT
cana-3300	205	3	0.959	0.959	NUM
cana-3300	205	4	,	,	PUNCT
cana-3300	205	5	1.056	1.056	NUM
cana-3300	205	6	)	)	PUNCT
cana-3300	205	7	1.075	1.075	NUM
cana-3300	205	8	(	(	PUNCT
cana-3300	205	9	1.057	1.057	NUM
cana-3300	205	10	,	,	PUNCT
cana-3300	205	11	1.092	1.092	NUM
cana-3300	205	12	)	)	PUNCT
cana-3300	205	13	2	2	NUM
cana-3300	206	1	_	_	PUNCT
cana-3300	207	1	_	_	PUNCT
cana-3300	208	1	_	_	PUNCT
cana-3300	209	1	_	_	PUNCT
cana-3300	210	1	_	_	PUNCT
cana-3300	211	1	_	_	PUNCT
cana-3300	212	1	_	_	PUNCT
cana-3300	213	1	_	_	PUNCT
cana-3300	214	1	_	_	PUNCT
cana-3300	215	1	_	_	PUNCT
cana-3300	216	1	0.76755	0.76755	NUM
cana-3300	216	2	(	(	PUNCT
cana-3300	216	3	0.539	0.539	NUM
cana-3300	216	4	,	,	PUNCT
cana-3300	216	5	0.996	0.996	NUM
cana-3300	216	6	)	)	PUNCT
cana-3300	216	7	2	2	NUM
cana-3300	216	8	39.163	39.163	NUM
cana-3300	216	9	25.417	25.417	NUM
cana-3300	216	10	25.053	25.053	NUM
cana-3300	216	11	aic	aic	PROPN
cana-3300	216	12	1832.099	1832.099	NUM
cana-3300	216	13	1667.936	1667.936	NUM
cana-3300	216	14	1646.873	1646.873	NUM
cana-3300	216	15	table	table	NOUN
cana-3300	216	16	3	3	NUM
cana-3300	216	17	:	:	PUNCT
cana-3300	216	18	moran	moran	PROPN
cana-3300	216	19	’s	’s	PROPN
cana-3300	217	1	i	i	PRON
cana-3300	217	2	statistic	statistic	NOUN
cana-3300	217	3	of	of	ADP
cana-3300	217	4	the	the	DET
cana-3300	217	5	residual	residual	ADJ
cana-3300	217	6	with	with	ADP
cana-3300	217	7	its	its	PRON
cana-3300	217	8	p	p	NOUN
cana-3300	217	9	-	-	PUNCT
cana-3300	217	10	values	value	NOUN
cana-3300	217	11	under	under	ADP
cana-3300	217	12	the	the	DET
cana-3300	217	13	linear	linear	PROPN
cana-3300	217	14	model	model	NOUN
cana-3300	217	15	,	,	PUNCT
cana-3300	217	16	first	first	ADJ
cana-3300	217	17	order	order	NOUN
cana-3300	217	18	sma	sma	NOUN
cana-3300	217	19	and	and	CCONJ
cana-3300	217	20	second	second	ADJ
cana-3300	217	21	order	order	NOUN
cana-3300	217	22	sma	sma	VERB
cana-3300	218	1	polynomial	polynomial	PROPN
cana-3300	218	2	moran	moran	PROPN
cana-3300	218	3	’s	’s	PROPN
cana-3300	219	1	i	i	PRON
cana-3300	219	2	statistic	statistic	NOUN
cana-3300	219	3	of	of	ADP
cana-3300	219	4	the	the	DET
cana-3300	219	5	residuals	residual	NOUN
cana-3300	219	6	linear	linear	PROPN
cana-3300	219	7	model	model	NOUN
cana-3300	219	8	first	first	ADJ
cana-3300	219	9	order	order	NOUN
cana-3300	219	10	sma	sma	VERB
cana-3300	219	11	second	second	ADJ
cana-3300	219	12	order	order	NOUN
cana-3300	219	13	sma	sma	VERB
cana-3300	219	14	polynomial	polynomial	ADJ
cana-3300	219	15	first	first	ADJ
cana-3300	219	16	lag	lag	NOUN
cana-3300	219	17	order	order	NOUN
cana-3300	219	18	(	(	PUNCT
cana-3300	219	19	p	p	NOUN
cana-3300	219	20	-	-	PUNCT
cana-3300	219	21	value	value	NOUN
cana-3300	219	22	)	)	PUNCT
cana-3300	219	23	0.550	0.550	NUM
cana-3300	219	24	(	(	PUNCT
cana-3300	219	25	<	<	NOUN
cana-3300	219	26	0.05	0.05	NUM
cana-3300	219	27	)	)	PUNCT
cana-3300	219	28	0.103	0.103	NUM
cana-3300	219	29	(	(	PUNCT
cana-3300	219	30	0.004	0.004	NUM
cana-3300	219	31	)	)	PUNCT
cana-3300	219	32	0.067	0.067	NUM
cana-3300	219	33	(	(	PUNCT
cana-3300	219	34	0.102	0.102	NUM
cana-3300	219	35	)	)	PUNCT
cana-3300	219	36	second	second	ADJ
cana-3300	219	37	lag	lag	NOUN
cana-3300	219	38	order	order	NOUN
cana-3300	219	39	(	(	PUNCT
cana-3300	219	40	p	p	NOUN
cana-3300	219	41	-	-	PUNCT
cana-3300	219	42	value	value	NOUN
cana-3300	219	43	)	)	PUNCT
cana-3300	219	44	0.172	0.172	NUM
cana-3300	219	45	(	(	PUNCT
cana-3300	219	46	<	<	NOUN
cana-3300	219	47	0.05	0.05	NUM
cana-3300	219	48	)	)	PUNCT
cana-3300	219	49	0.107	0.107	NUM
cana-3300	219	50	(	(	PUNCT
cana-3300	219	51	<	<	NOUN
cana-3300	219	52	0.05	0.05	NUM
cana-3300	219	53	)	)	PUNCT
cana-3300	219	54	-0.002	-0.002	PUNCT
cana-3300	219	55	(	(	PUNCT
cana-3300	219	56	0.956	0.956	NUM
cana-3300	219	57	)	)	PUNCT
cana-3300	219	58	0.0	0.0	NUM
cana-3300	219	59	0.5	0.5	NUM
cana-3300	219	60	1.0	1.0	NUM
cana-3300	219	61	1.5	1.5	NUM
cana-3300	219	62	0	0	NUM
cana-3300	219	63	.	.	NOUN
cana-3300	219	64	0	0	NUM
cana-3300	220	1	0	0	NUM
cana-3300	220	2	.	.	NOUN
cana-3300	220	3	5	5	NUM
cana-3300	220	4	1	1	NUM
cana-3300	220	5	.	.	NOUN
cana-3300	220	6	0	0	NUM
cana-3300	221	1	1	1	NUM
cana-3300	221	2	.	.	SYM
cana-3300	221	3	5	5	NUM
cana-3300	221	4	lr	lr	NOUN
cana-3300	221	5	based	base	VERB
cana-3300	221	6	confidence	confidence	NOUN
cana-3300	221	7	region	region	NOUN
cana-3300	221	8	1	1	NUM
cana-3300	221	9	2	2	NUM
cana-3300	221	10	0.0	0.0	NUM
cana-3300	221	11	0.5	0.5	NUM
cana-3300	221	12	1.0	1.0	NUM
cana-3300	221	13	1.5	1.5	NUM
cana-3300	221	14	0	0	NUM
cana-3300	221	15	.	.	NOUN
cana-3300	221	16	0	0	NUM
cana-3300	221	17	0	0	NUM
cana-3300	221	18	.	.	NOUN
cana-3300	221	19	5	5	NUM
cana-3300	221	20	1	1	NUM
cana-3300	221	21	.	.	NOUN
cana-3300	221	22	0	0	NUM
cana-3300	222	1	1	1	NUM
cana-3300	222	2	.	.	SYM
cana-3300	222	3	5	5	NUM
cana-3300	222	4	bootstrap	bootstrap	NOUN
cana-3300	222	5	based	base	VERB
cana-3300	222	6	confidence	confidence	NOUN
cana-3300	222	7	region	region	NOUN
cana-3300	222	8	1	1	NUM
cana-3300	222	9	2	2	NUM
cana-3300	222	10	communications	communication	NOUN
cana-3300	222	11	on	on	ADP
cana-3300	222	12	applied	apply	VERB
cana-3300	222	13	nonlinear	nonlinear	ADJ
cana-3300	222	14	analysis	analysis	NOUN
cana-3300	222	15	issn	issn	NOUN
cana-3300	222	16	:	:	PUNCT
cana-3300	222	17	1074	1074	NUM
cana-3300	222	18	-	-	PUNCT
cana-3300	222	19	133x	133x	NUM
cana-3300	222	20	vol	vol	NOUN
cana-3300	222	21	32	32	NUM
cana-3300	222	22	no	no	NOUN
cana-3300	222	23	.	.	PUNCT
cana-3300	223	1	6s	6s	NUM
cana-3300	223	2	(	(	PUNCT
cana-3300	223	3	2025	2025	NUM
cana-3300	223	4	)	)	PUNCT
cana-3300	223	5	352	352	NUM
cana-3300	223	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3300	223	7	fig	fig	NOUN
cana-3300	223	8	6	6	NUM
cana-3300	223	9	:	:	PUNCT
cana-3300	223	10	residuals	residual	NOUN
cana-3300	223	11	plot	plot	NOUN
cana-3300	223	12	under	under	ADP
cana-3300	223	13	linear	linear	PROPN
cana-3300	223	14	models	model	NOUN
cana-3300	223	15	,	,	PUNCT
cana-3300	223	16	first	first	ADJ
cana-3300	223	17	order	order	NOUN
cana-3300	223	18	sma	sma	NOUN
cana-3300	223	19	,	,	PUNCT
cana-3300	223	20	and	and	CCONJ
cana-3300	223	21	sma	sma	VERB
cana-3300	223	22	polynomial	polynomial	ADJ
cana-3300	223	23	of	of	ADP
cana-3300	223	24	second	second	ADJ
cana-3300	223	25	order	order	NOUN
cana-3300	223	26	comparison	comparison	NOUN
cana-3300	223	27	of	of	ADP
cana-3300	223	28	results	result	NOUN
cana-3300	223	29	:	:	PUNCT
cana-3300	223	30	the	the	DET
cana-3300	223	31	simulated	simulate	VERB
cana-3300	223	32	data	datum	NOUN
cana-3300	223	33	generated	generate	VERB
cana-3300	223	34	is	be	AUX
cana-3300	223	35	further	far	ADV
cana-3300	223	36	analyzed	analyze	VERB
cana-3300	223	37	under	under	ADP
cana-3300	223	38	the	the	DET
cana-3300	223	39	linear	linear	NOUN
cana-3300	223	40	models	model	NOUN
cana-3300	223	41	and	and	CCONJ
cana-3300	223	42	first	first	ADJ
cana-3300	223	43	order	order	NOUN
cana-3300	223	44	sma	sma	NOUN
cana-3300	223	45	,	,	PUNCT
cana-3300	223	46	and	and	CCONJ
cana-3300	223	47	its	its	PRON
cana-3300	223	48	results	result	NOUN
cana-3300	223	49	are	be	AUX
cana-3300	223	50	presented	present	VERB
cana-3300	223	51	in	in	ADP
cana-3300	223	52	table	table	NOUN
cana-3300	223	53	2	2	NUM
cana-3300	223	54	.	.	PUNCT
cana-3300	224	1	it	it	PRON
cana-3300	224	2	is	be	AUX
cana-3300	224	3	observed	observe	VERB
cana-3300	224	4	that	that	SCONJ
cana-3300	224	5	all	all	DET
cana-3300	224	6	three	three	NUM
cana-3300	224	7	models	model	NOUN
cana-3300	224	8	give	give	VERB
cana-3300	224	9	similar	similar	ADJ
cana-3300	224	10	results	result	NOUN
cana-3300	224	11	in	in	ADP
cana-3300	224	12	term	term	NOUN
cana-3300	224	13	of	of	ADP
cana-3300	224	14	the	the	DET
cana-3300	224	15	regression	regression	NOUN
cana-3300	224	16	parameters	parameter	NOUN
cana-3300	224	17	,	,	PUNCT
cana-3300	224	18	both	both	PRON
cana-3300	224	19	being	be	AUX
cana-3300	224	20	significant	significant	ADJ
cana-3300	224	21	at	at	ADP
cana-3300	224	22	95	95	NUM
cana-3300	224	23	per	per	NOUN
cana-3300	224	24	cent	cent	NOUN
cana-3300	224	25	confidence	confidence	NOUN
cana-3300	224	26	interval	interval	NOUN
cana-3300	224	27	.	.	PUNCT
cana-3300	225	1	the	the	DET
cana-3300	225	2	overall	overall	ADJ
cana-3300	225	3	gain	gain	NOUN
cana-3300	225	4	in	in	ADP
cana-3300	225	5	using	use	VERB
cana-3300	225	6	the	the	DET
cana-3300	225	7	second	second	ADJ
cana-3300	225	8	order	order	NOUN
cana-3300	225	9	sma	sma	NOUN
cana-3300	225	10	polynomial	polynomial	ADJ
cana-3300	225	11	rather	rather	ADV
cana-3300	225	12	than	than	ADP
cana-3300	225	13	the	the	DET
cana-3300	225	14	first	first	ADJ
cana-3300	225	15	order	order	NOUN
cana-3300	225	16	sma	sma	NOUN
cana-3300	225	17	model	model	NOUN
cana-3300	225	18	and	and	CCONJ
cana-3300	225	19	linear	linear	PROPN
cana-3300	225	20	model	model	NOUN
cana-3300	225	21	is	be	AUX
cana-3300	225	22	reflected	reflect	VERB
cana-3300	225	23	in	in	ADP
cana-3300	225	24	the	the	DET
cana-3300	225	25	aic	aic	PROPN
cana-3300	225	26	value	value	NOUN
cana-3300	225	27	.	.	PUNCT
cana-3300	226	1	the	the	DET
cana-3300	226	2	aic	aic	PROPN
cana-3300	226	3	value	value	NOUN
cana-3300	226	4	for	for	ADP
cana-3300	226	5	the	the	DET
cana-3300	226	6	proposed	propose	VERB
cana-3300	226	7	model	model	NOUN
cana-3300	226	8	is	be	AUX
cana-3300	226	9	1646.873	1646.873	NUM
cana-3300	226	10	whereas	whereas	SCONJ
cana-3300	226	11	for	for	ADP
cana-3300	226	12	the	the	DET
cana-3300	226	13	linear	linear	ADJ
cana-3300	226	14	model	model	NOUN
cana-3300	226	15	is	be	AUX
cana-3300	226	16	1832.099	1832.099	NUM
cana-3300	226	17	,	,	PUNCT
cana-3300	226	18	and	and	CCONJ
cana-3300	226	19	1667.936	1667.936	NUM
cana-3300	226	20	for	for	ADP
cana-3300	226	21	sma	sma	NOUN
cana-3300	226	22	model	model	NOUN
cana-3300	226	23	of	of	ADP
cana-3300	226	24	first	first	ADJ
cana-3300	226	25	order	order	NOUN
cana-3300	226	26	.	.	PUNCT
cana-3300	227	1	the	the	DET
cana-3300	227	2	estimated	estimate	VERB
cana-3300	227	3	variance	variance	NOUN
cana-3300	227	4	is	be	AUX
cana-3300	227	5	reduced	reduce	VERB
cana-3300	227	6	by	by	ADP
cana-3300	227	7	only	only	ADV
cana-3300	227	8	1	1	NUM
cana-3300	227	9	per	per	ADP
cana-3300	227	10	cent	cent	NOUN
cana-3300	227	11	when	when	SCONJ
cana-3300	227	12	using	use	VERB
cana-3300	227	13	the	the	DET
cana-3300	227	14	second	second	ADJ
cana-3300	227	15	order	order	NOUN
cana-3300	227	16	sma	sma	NOUN
cana-3300	227	17	polynomial	polynomial	ADJ
cana-3300	227	18	.	.	PUNCT
cana-3300	228	1	(	(	PUNCT
cana-3300	228	2	a	a	X
cana-3300	228	3	)	)	PUNCT
cana-3300	228	4	(	(	PUNCT
cana-3300	228	5	b	b	X
cana-3300	228	6	)	)	PUNCT
cana-3300	228	7	(	(	PUNCT
cana-3300	228	8	c	c	X
cana-3300	228	9	)	)	PUNCT
cana-3300	228	10	fig	fig	NOUN
cana-3300	228	11	7	7	NUM
cana-3300	228	12	:	:	PUNCT
cana-3300	228	13	moran	moran	PROPN
cana-3300	228	14	’s	’s	PROPN
cana-3300	229	1	i	i	PRON
cana-3300	229	2	statistic	statistic	VERB
cana-3300	229	3	with	with	ADP
cana-3300	229	4	its	its	PRON
cana-3300	229	5	95	95	NUM
cana-3300	229	6	per	per	NOUN
cana-3300	229	7	cent	cent	NOUN
cana-3300	229	8	confidence	confidence	NOUN
cana-3300	229	9	interval	interval	NOUN
cana-3300	229	10	of	of	ADP
cana-3300	229	11	the	the	DET
cana-3300	229	12	residuals	residual	NOUN
cana-3300	229	13	under	under	ADP
cana-3300	229	14	the	the	DET
cana-3300	229	15	(	(	PUNCT
cana-3300	229	16	a	a	NOUN
cana-3300	229	17	)	)	PUNCT
cana-3300	229	18	linear	linear	ADJ
cana-3300	229	19	model	model	NOUN
cana-3300	229	20	,	,	PUNCT
cana-3300	229	21	(	(	PUNCT
cana-3300	229	22	b	b	X
cana-3300	229	23	)	)	PUNCT
cana-3300	229	24	first	first	ADJ
cana-3300	229	25	order	order	NOUN
cana-3300	229	26	sma	sma	NOUN
cana-3300	229	27	,	,	PUNCT
cana-3300	229	28	(	(	PUNCT
cana-3300	229	29	c	c	X
cana-3300	229	30	)	)	PUNCT
cana-3300	229	31	second	second	ADJ
cana-3300	229	32	order	order	NOUN
cana-3300	229	33	sma	sma	VERB
cana-3300	229	34	polynomial	polynomial	ADJ
cana-3300	229	35	-20	-20	NUM
cana-3300	229	36	-10	-10	SYM
cana-3300	229	37	0	0	NUM
cana-3300	229	38	10	10	NUM
cana-3300	229	39	20	20	NUM
cana-3300	229	40	0	0	NUM
cana-3300	229	41	.	.	PUNCT
cana-3300	229	42	00	00	NUM
cana-3300	230	1	0	0	NUM
cana-3300	230	2	.	.	PUNCT
cana-3300	231	1	02	02	NUM
cana-3300	231	2	0	0	NUM
cana-3300	231	3	.	.	NOUN
cana-3300	231	4	04	04	NUM
cana-3300	231	5	0	0	NUM
cana-3300	231	6	.	.	NUM
cana-3300	231	7	06	06	NUM
cana-3300	231	8	0	0	NUM
cana-3300	231	9	.	.	PROPN
cana-3300	231	10	08	08	NUM
cana-3300	232	1	,	,	PUNCT
cana-3300	233	1	d	d	X
cana-3300	233	2	en	en	X
cana-3300	233	3	si	si	PROPN
cana-3300	233	4	ty	ty	NUM
cana-3300	233	5	2nd	2nd	ADJ
cana-3300	233	6	order	order	NOUN
cana-3300	233	7	polynomial	polynomial	ADJ
cana-3300	233	8	sma	sma	NOUN
cana-3300	233	9	1st	1st	ADJ
cana-3300	233	10	order	order	NOUN
cana-3300	233	11	sma	sma	VERB
cana-3300	233	12	linear	linear	ADJ
cana-3300	233	13	model	model	NOUN
cana-3300	233	14	0	0	NUM
cana-3300	233	15	.	.	NOUN
cana-3300	233	16	2	2	NUM
cana-3300	233	17	0	0	NUM
cana-3300	233	18	.	.	NOUN
cana-3300	233	19	3	3	NUM
cana-3300	233	20	0	0	NUM
cana-3300	233	21	.	.	NOUN
cana-3300	233	22	4	4	NUM
cana-3300	233	23	0	0	NUM
cana-3300	233	24	.	.	NOUN
cana-3300	233	25	5	5	NUM
cana-3300	233	26	0	0	NUM
cana-3300	233	27	.	.	NOUN
cana-3300	233	28	6	6	NUM
cana-3300	233	29	linear	linear	NOUN
cana-3300	233	30	model	model	NOUN
cana-3300	233	31	lags	lag	VERB
cana-3300	233	32	m	m	PRON
cana-3300	233	33	or	or	CCONJ
cana-3300	233	34	an	an	DET
cana-3300	233	35	's	be	AUX
cana-3300	233	36	i	i	NOUN
cana-3300	233	37	1	1	NUM
cana-3300	233	38	2	2	NUM
cana-3300	233	39	-0	-0	SYM
cana-3300	233	40	.0	.0	NUM
cana-3300	233	41	5	5	NUM
cana-3300	233	42	0	0	NUM
cana-3300	233	43	.	.	PUNCT
cana-3300	233	44	00	00	NUM
cana-3300	234	1	0	0	NUM
cana-3300	234	2	.	.	PUNCT
cana-3300	235	1	05	05	NUM
cana-3300	235	2	0	0	NUM
cana-3300	235	3	.	.	PUNCT
cana-3300	236	1	10	10	NUM
cana-3300	236	2	0	0	NUM
cana-3300	236	3	.	.	PUNCT
cana-3300	236	4	15	15	NUM
cana-3300	236	5	0	0	NUM
cana-3300	236	6	.	.	NOUN
cana-3300	236	7	20	20	NUM
cana-3300	236	8	first	first	ADJ
cana-3300	236	9	order	order	NOUN
cana-3300	236	10	sma	sma	NOUN
cana-3300	236	11	lags	lag	VERB
cana-3300	236	12	m	m	VERB
cana-3300	236	13	or	or	CCONJ
cana-3300	236	14	an	an	DET
cana-3300	236	15	's	be	AUX
cana-3300	236	16	i	i	NOUN
cana-3300	236	17	1	1	NUM
cana-3300	236	18	2	2	NUM
cana-3300	236	19	-0	-0	SYM
cana-3300	236	20	.0	.0	NUM
cana-3300	236	21	5	5	NUM
cana-3300	236	22	0	0	NUM
cana-3300	236	23	.	.	PUNCT
cana-3300	236	24	00	00	NUM
cana-3300	237	1	0	0	NUM
cana-3300	237	2	.	.	PUNCT
cana-3300	238	1	05	05	NUM
cana-3300	238	2	0	0	NUM
cana-3300	238	3	.	.	PUNCT
cana-3300	239	1	10	10	NUM
cana-3300	239	2	0	0	NUM
cana-3300	239	3	.	.	PUNCT
cana-3300	240	1	15	15	NUM
cana-3300	240	2	0	0	NUM
cana-3300	240	3	.	.	NOUN
cana-3300	240	4	20	20	NUM
cana-3300	240	5	second	second	ADJ
cana-3300	240	6	order	order	NOUN
cana-3300	240	7	polynomial	polynomial	ADJ
cana-3300	240	8	sma	sma	NOUN
cana-3300	240	9	lags	lag	VERB
cana-3300	240	10	m	m	VERB
cana-3300	240	11	or	or	CCONJ
cana-3300	240	12	an	an	DET
cana-3300	240	13	's	be	AUX
cana-3300	240	14	i	i	NOUN
cana-3300	240	15	1	1	NUM
cana-3300	240	16	2	2	NUM
cana-3300	240	17	communications	communication	NOUN
cana-3300	240	18	on	on	ADP
cana-3300	240	19	applied	apply	VERB
cana-3300	240	20	nonlinear	nonlinear	ADJ
cana-3300	240	21	analysis	analysis	NOUN
cana-3300	240	22	issn	issn	NOUN
cana-3300	240	23	:	:	PUNCT
cana-3300	240	24	1074	1074	NUM
cana-3300	240	25	-	-	PUNCT
cana-3300	240	26	133x	133x	NUM
cana-3300	240	27	vol	vol	NOUN
cana-3300	240	28	32	32	NUM
cana-3300	240	29	no	no	NOUN
cana-3300	240	30	.	.	PUNCT
cana-3300	241	1	6s	6s	NUM
cana-3300	241	2	(	(	PUNCT
cana-3300	241	3	2025	2025	NUM
cana-3300	241	4	)	)	PUNCT
cana-3300	241	5	353	353	NUM
cana-3300	242	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3300	242	2	residual	residual	ADJ
cana-3300	242	3	density	density	NOUN
cana-3300	242	4	plot	plot	NOUN
cana-3300	242	5	under	under	ADP
cana-3300	242	6	the	the	DET
cana-3300	242	7	second	second	ADJ
cana-3300	242	8	order	order	NOUN
cana-3300	242	9	sma	sma	NOUN
cana-3300	242	10	polynomial	polynomial	ADJ
cana-3300	242	11	overlaid	overlay	VERB
cana-3300	242	12	with	with	ADP
cana-3300	242	13	those	those	PRON
cana-3300	242	14	of	of	ADP
cana-3300	242	15	the	the	DET
cana-3300	242	16	linear	linear	ADJ
cana-3300	242	17	model	model	NOUN
cana-3300	242	18	and	and	CCONJ
cana-3300	242	19	first	first	ADJ
cana-3300	242	20	order	order	NOUN
cana-3300	242	21	sma	sma	NOUN
cana-3300	242	22	is	be	AUX
cana-3300	242	23	given	give	VERB
cana-3300	242	24	in	in	ADP
cana-3300	242	25	fig	fig	NOUN
cana-3300	242	26	6	6	NUM
cana-3300	242	27	.	.	PUNCT
cana-3300	243	1	the	the	DET
cana-3300	243	2	first	first	ADJ
cana-3300	243	3	order	order	NOUN
cana-3300	243	4	sma	sma	NOUN
cana-3300	243	5	and	and	CCONJ
cana-3300	243	6	second	second	ADJ
cana-3300	243	7	order	order	NOUN
cana-3300	243	8	sma	sma	NOUN
cana-3300	243	9	polynomial	polynomial	ADJ
cana-3300	243	10	shows	show	NOUN
cana-3300	243	11	nearly	nearly	ADV
cana-3300	243	12	same	same	ADJ
cana-3300	243	13	pattern	pattern	NOUN
cana-3300	243	14	in	in	ADP
cana-3300	243	15	achieving	achieve	VERB
cana-3300	243	16	smoothness	smoothness	ADJ
cana-3300	243	17	as	as	SCONJ
cana-3300	243	18	compared	compare	VERB
cana-3300	243	19	to	to	ADP
cana-3300	243	20	linear	linear	PROPN
cana-3300	243	21	model	model	NOUN
cana-3300	243	22	.	.	PUNCT
cana-3300	244	1	the	the	DET
cana-3300	244	2	shapiro	shapiro	PROPN
cana-3300	244	3	-	-	PUNCT
cana-3300	244	4	wilks	wilks	PROPN
cana-3300	244	5	normality	normality	NOUN
cana-3300	244	6	test	test	NOUN
cana-3300	244	7	statistic	statistic	NOUN
cana-3300	244	8	provides	provide	VERB
cana-3300	244	9	a	a	DET
cana-3300	244	10	p	p	NOUN
cana-3300	244	11	-	-	PUNCT
cana-3300	244	12	value	value	NOUN
cana-3300	244	13	of	of	ADP
cana-3300	244	14	0.073	0.073	NUM
cana-3300	244	15	,	,	PUNCT
cana-3300	244	16	0.489	0.489	NUM
cana-3300	244	17	and	and	CCONJ
cana-3300	244	18	0.805	0.805	NUM
cana-3300	244	19	for	for	ADP
cana-3300	244	20	the	the	DET
cana-3300	244	21	residuals	residual	NOUN
cana-3300	244	22	under	under	ADP
cana-3300	244	23	the	the	DET
cana-3300	244	24	linear	linear	ADJ
cana-3300	244	25	model	model	NOUN
cana-3300	244	26	,	,	PUNCT
cana-3300	244	27	first	first	ADJ
cana-3300	244	28	order	order	NOUN
cana-3300	244	29	sma	sma	NOUN
cana-3300	244	30	and	and	CCONJ
cana-3300	244	31	second	second	ADJ
cana-3300	244	32	order	order	NOUN
cana-3300	244	33	sma	sma	VERB
cana-3300	244	34	polynomial	polynomial	ADJ
cana-3300	244	35	model	model	NOUN
cana-3300	244	36	respectively	respectively	ADV
cana-3300	244	37	.	.	PUNCT
cana-3300	245	1	table	table	NOUN
cana-3300	245	2	3	3	NUM
cana-3300	245	3	provides	provide	VERB
cana-3300	245	4	results	result	NOUN
cana-3300	245	5	of	of	ADP
cana-3300	245	6	the	the	DET
cana-3300	245	7	analytical	analytical	ADJ
cana-3300	245	8	test	test	NOUN
cana-3300	245	9	of	of	ADP
cana-3300	245	10	the	the	DET
cana-3300	245	11	presence	presence	NOUN
cana-3300	245	12	of	of	ADP
cana-3300	245	13	a	a	DET
cana-3300	245	14	significant	significant	ADJ
cana-3300	245	15	spatial	spatial	ADJ
cana-3300	245	16	dependence	dependence	NOUN
cana-3300	245	17	of	of	ADP
cana-3300	245	18	the	the	DET
cana-3300	245	19	first	first	ADJ
cana-3300	245	20	and	and	CCONJ
cana-3300	245	21	second	second	ADJ
cana-3300	245	22	lag	lag	NOUN
cana-3300	245	23	orders	order	NOUN
cana-3300	245	24	in	in	ADP
cana-3300	245	25	the	the	DET
cana-3300	245	26	residuals	residual	NOUN
cana-3300	245	27	.	.	PUNCT
cana-3300	246	1	correspondingly	correspondingly	ADV
cana-3300	246	2	,	,	PUNCT
cana-3300	246	3	fig	fig	NOUN
cana-3300	246	4	7	7	NUM
cana-3300	246	5	provides	provide	VERB
cana-3300	246	6	a	a	DET
cana-3300	246	7	diagrammatical	diagrammatical	ADJ
cana-3300	246	8	representation	representation	NOUN
cana-3300	246	9	of	of	ADP
cana-3300	246	10	the	the	DET
cana-3300	246	11	result	result	NOUN
cana-3300	246	12	with	with	ADP
cana-3300	246	13	its	its	PRON
cana-3300	246	14	95	95	NUM
cana-3300	246	15	per	per	NOUN
cana-3300	246	16	cent	cent	NOUN
cana-3300	246	17	confidence	confidence	NOUN
cana-3300	246	18	interval	interval	NOUN
cana-3300	246	19	.	.	PUNCT
cana-3300	247	1	from	from	ADP
cana-3300	247	2	both	both	PRON
cana-3300	247	3	,	,	PUNCT
cana-3300	247	4	the	the	DET
cana-3300	247	5	table	table	NOUN
cana-3300	247	6	and	and	CCONJ
cana-3300	247	7	figure	figure	NOUN
cana-3300	247	8	we	we	PRON
cana-3300	247	9	may	may	AUX
cana-3300	247	10	be	be	AUX
cana-3300	247	11	clearly	clearly	ADV
cana-3300	247	12	observed	observe	VERB
cana-3300	247	13	that	that	SCONJ
cana-3300	247	14	the	the	DET
cana-3300	247	15	residuals	residual	NOUN
cana-3300	247	16	from	from	ADP
cana-3300	247	17	the	the	DET
cana-3300	247	18	linear	linear	ADJ
cana-3300	247	19	model	model	NOUN
cana-3300	247	20	and	and	CCONJ
cana-3300	247	21	first	first	ADJ
cana-3300	247	22	order	order	NOUN
cana-3300	247	23	sma	sma	NOUN
cana-3300	247	24	exhibit	exhibit	VERB
cana-3300	247	25	a	a	DET
cana-3300	247	26	significant	significant	ADJ
cana-3300	247	27	spatial	spatial	ADJ
cana-3300	247	28	dependence	dependence	NOUN
cana-3300	247	29	of	of	ADP
cana-3300	247	30	both	both	DET
cana-3300	247	31	lag	lag	NOUN
cana-3300	247	32	orders	order	NOUN
cana-3300	247	33	,	,	PUNCT
cana-3300	247	34	whereas	whereas	SCONJ
cana-3300	247	35	those	those	PRON
cana-3300	247	36	from	from	ADP
cana-3300	247	37	the	the	DET
cana-3300	247	38	second	second	ADJ
cana-3300	247	39	order	order	NOUN
cana-3300	247	40	sma	sma	NOUN
cana-3300	247	41	polynomial	polynomial	ADJ
cana-3300	247	42	do	do	VERB
cana-3300	247	43	not	not	PART
cana-3300	247	44	.	.	PUNCT
cana-3300	248	1	5	5	X
cana-3300	248	2	.	.	X
cana-3300	248	3	conclusion	conclusion	VERB
cana-3300	248	4	the	the	DET
cana-3300	248	5	paper	paper	NOUN
cana-3300	248	6	studies	study	NOUN
cana-3300	248	7	the	the	DET
cana-3300	248	8	aspect	aspect	NOUN
cana-3300	248	9	of	of	ADP
cana-3300	248	10	modeling	model	VERB
cana-3300	248	11	relationships	relationship	NOUN
cana-3300	248	12	between	between	ADP
cana-3300	248	13	spatially	spatially	ADV
cana-3300	248	14	dependent	dependent	ADJ
cana-3300	248	15	data	datum	NOUN
cana-3300	248	16	through	through	ADP
cana-3300	248	17	the	the	DET
cana-3300	248	18	simultaneous	simultaneous	ADJ
cana-3300	248	19	incorporation	incorporation	NOUN
cana-3300	248	20	of	of	ADP
cana-3300	248	21	the	the	DET
cana-3300	248	22	first	first	ADJ
cana-3300	248	23	and	and	CCONJ
cana-3300	248	24	second	second	ADJ
cana-3300	248	25	order	order	NOUN
cana-3300	248	26	contiguity	contiguity	NOUN
cana-3300	248	27	neighbourhood	neighbourhood	NOUN
cana-3300	248	28	matrix	matrix	NOUN
cana-3300	248	29	in	in	ADP
cana-3300	248	30	sma	sma	PROPN
cana-3300	248	31	,	,	PUNCT
cana-3300	248	32	with	with	ADP
cana-3300	248	33	the	the	DET
cana-3300	248	34	model	model	NOUN
cana-3300	248	35	named	name	VERB
cana-3300	248	36	as	as	ADP
cana-3300	248	37	second	second	ADJ
cana-3300	248	38	order	order	NOUN
cana-3300	248	39	sma	sma	NOUN
cana-3300	248	40	polynomial	polynomial	ADJ
cana-3300	248	41	.	.	PUNCT
cana-3300	249	1	the	the	DET
cana-3300	249	2	model	model	NOUN
cana-3300	249	3	provides	provide	VERB
cana-3300	249	4	a	a	DET
cana-3300	249	5	way	way	NOUN
cana-3300	249	6	of	of	ADP
cana-3300	249	7	modeling	modeling	NOUN
cana-3300	249	8	,	,	PUNCT
cana-3300	249	9	in	in	ADP
cana-3300	249	10	cases	case	NOUN
cana-3300	249	11	where	where	SCONJ
cana-3300	249	12	spatial	spatial	ADJ
cana-3300	249	13	dependence	dependence	NOUN
cana-3300	249	14	could	could	AUX
cana-3300	249	15	not	not	PART
cana-3300	249	16	be	be	AUX
cana-3300	249	17	properly	properly	ADV
cana-3300	249	18	explained	explain	VERB
cana-3300	249	19	in	in	ADP
cana-3300	249	20	a	a	DET
cana-3300	249	21	single	single	ADJ
cana-3300	249	22	neighbourhood	neighbourhood	NOUN
cana-3300	249	23	structure	structure	NOUN
cana-3300	249	24	framework	framework	NOUN
cana-3300	249	25	.	.	PUNCT
cana-3300	250	1	the	the	DET
cana-3300	250	2	main	main	ADJ
cana-3300	250	3	achievement	achievement	NOUN
cana-3300	250	4	of	of	ADP
cana-3300	250	5	the	the	DET
cana-3300	250	6	paper	paper	NOUN
cana-3300	250	7	involves	involve	VERB
cana-3300	250	8	the	the	DET
cana-3300	250	9	successful	successful	ADJ
cana-3300	250	10	implementation	implementation	NOUN
cana-3300	250	11	of	of	ADP
cana-3300	250	12	the	the	DET
cana-3300	250	13	second	second	ADJ
cana-3300	250	14	order	order	NOUN
cana-3300	250	15	sma	sma	NOUN
cana-3300	250	16	polynomial	polynomial	ADJ
cana-3300	250	17	through	through	ADP
cana-3300	250	18	the	the	DET
cana-3300	250	19	full	full	ADJ
cana-3300	250	20	likelihood	likelihood	NOUN
cana-3300	250	21	optimization	optimization	NOUN
cana-3300	250	22	using	use	VERB
cana-3300	250	23	the	the	DET
cana-3300	250	24	de	de	X
cana-3300	250	25	method	method	NOUN
cana-3300	250	26	;	;	PUNCT
cana-3300	250	27	construction	construction	NOUN
cana-3300	250	28	of	of	ADP
cana-3300	250	29	confidence	confidence	NOUN
cana-3300	250	30	intervals	interval	NOUN
cana-3300	250	31	for	for	ADP
cana-3300	250	32	statistical	statistical	ADJ
cana-3300	250	33	inferences	inference	NOUN
cana-3300	250	34	based	base	VERB
cana-3300	250	35	on	on	ADP
cana-3300	250	36	the	the	DET
cana-3300	250	37	derived	derive	VERB
cana-3300	250	38	standard	standard	ADJ
cana-3300	250	39	error	error	NOUN
cana-3300	250	40	expression	expression	NOUN
cana-3300	250	41	and	and	CCONJ
cana-3300	250	42	bootstrapping	bootstrapping	NOUN
cana-3300	250	43	;	;	PUNCT
cana-3300	250	44	and	and	CCONJ
cana-3300	250	45	,	,	PUNCT
cana-3300	250	46	the	the	DET
cana-3300	250	47	construction	construction	NOUN
cana-3300	250	48	of	of	ADP
cana-3300	250	49	the	the	DET
cana-3300	250	50	simultaneous	simultaneous	ADJ
cana-3300	250	51	confidence	confidence	NOUN
cana-3300	250	52	regions	region	NOUN
cana-3300	250	53	for	for	ADP
cana-3300	250	54	the	the	DET
cana-3300	250	55	two	two	NUM
cana-3300	250	56	spatial	spatial	ADJ
cana-3300	250	57	dependence	dependence	NOUN
cana-3300	250	58	parameters	parameter	NOUN
cana-3300	250	59	based	base	VERB
cana-3300	250	60	on	on	ADP
cana-3300	250	61	lr	lr	NOUN
cana-3300	250	62	test	test	NOUN
cana-3300	250	63	and	and	CCONJ
cana-3300	250	64	bootstrapping	bootstrappe	VERB
cana-3300	250	65	.	.	PUNCT
cana-3300	251	1	the	the	DET
cana-3300	251	2	95	95	NUM
cana-3300	251	3	percent	percent	NOUN
cana-3300	251	4	bootstrap	bootstrap	NOUN
cana-3300	251	5	based	base	VERB
cana-3300	251	6	confidence	confidence	NOUN
cana-3300	251	7	intervals	interval	NOUN
cana-3300	251	8	are	be	AUX
cana-3300	251	9	wider	wide	ADJ
cana-3300	251	10	as	as	SCONJ
cana-3300	251	11	compared	compare	VERB
cana-3300	251	12	to	to	ADP
cana-3300	251	13	the	the	DET
cana-3300	251	14	exact	exact	ADJ
cana-3300	251	15	95	95	NUM
cana-3300	251	16	percent	percent	NOUN
cana-3300	251	17	confidence	confidence	NOUN
cana-3300	251	18	intervals	interval	NOUN
cana-3300	251	19	.	.	PUNCT
cana-3300	252	1	in	in	ADP
cana-3300	252	2	the	the	DET
cana-3300	252	3	present	present	ADJ
cana-3300	252	4	analysis	analysis	NOUN
cana-3300	252	5	,	,	PUNCT
cana-3300	252	6	the	the	DET
cana-3300	252	7	incorporation	incorporation	NOUN
cana-3300	252	8	of	of	ADP
cana-3300	252	9	the	the	DET
cana-3300	252	10	second	second	ADJ
cana-3300	252	11	order	order	NOUN
cana-3300	252	12	spatial	spatial	ADJ
cana-3300	252	13	dependence	dependence	NOUN
cana-3300	252	14	parameters	parameter	NOUN
cana-3300	252	15	reduces	reduce	VERB
cana-3300	252	16	the	the	DET
cana-3300	252	17	error	error	NOUN
cana-3300	252	18	variance	variance	NOUN
cana-3300	252	19	by	by	ADP
cana-3300	252	20	a	a	DET
cana-3300	252	21	small	small	ADJ
cana-3300	252	22	amount	amount	NOUN
cana-3300	252	23	only	only	ADV
cana-3300	252	24	,	,	PUNCT
cana-3300	252	25	as	as	SCONJ
cana-3300	252	26	compared	compare	VERB
cana-3300	252	27	to	to	ADP
cana-3300	252	28	the	the	DET
cana-3300	252	29	first	first	ADJ
cana-3300	252	30	order	order	NOUN
cana-3300	252	31	sma	sma	NOUN
cana-3300	252	32	model	model	NOUN
cana-3300	252	33	.	.	PUNCT
cana-3300	253	1	hence	hence	ADV
cana-3300	253	2	,	,	PUNCT
cana-3300	253	3	not	not	PART
cana-3300	253	4	so	so	ADV
cana-3300	253	5	much	much	ADJ
cana-3300	253	6	change	change	NOUN
cana-3300	253	7	could	could	AUX
cana-3300	253	8	be	be	AUX
cana-3300	253	9	observed	observe	VERB
cana-3300	253	10	in	in	ADP
cana-3300	253	11	the	the	DET
cana-3300	253	12	parameters	parameter	NOUN
cana-3300	253	13	confidence	confidence	NOUN
cana-3300	253	14	intervals	interval	NOUN
cana-3300	253	15	of	of	ADP
cana-3300	253	16	both	both	DET
cana-3300	253	17	models	model	NOUN
cana-3300	253	18	.	.	PUNCT
cana-3300	254	1	nevertheless	nevertheless	ADV
cana-3300	254	2	,	,	PUNCT
cana-3300	254	3	the	the	DET
cana-3300	254	4	efficiency	efficiency	NOUN
cana-3300	254	5	of	of	ADP
cana-3300	254	6	the	the	DET
cana-3300	254	7	model	model	NOUN
cana-3300	254	8	is	be	AUX
cana-3300	254	9	reflected	reflect	VERB
cana-3300	254	10	in	in	ADP
cana-3300	254	11	its	its	PRON
cana-3300	254	12	aic	aic	PROPN
cana-3300	254	13	values	value	NOUN
cana-3300	254	14	.	.	PUNCT
cana-3300	255	1	the	the	DET
cana-3300	255	2	potential	potential	NOUN
cana-3300	255	3	of	of	ADP
cana-3300	255	4	the	the	DET
cana-3300	255	5	second	second	ADJ
cana-3300	255	6	order	order	NOUN
cana-3300	255	7	sma	sma	VERB
cana-3300	255	8	polynomial	polynomial	ADJ
cana-3300	255	9	to	to	PART
cana-3300	255	10	apprehend	apprehend	VERB
cana-3300	255	11	spatial	spatial	ADJ
cana-3300	255	12	dependence	dependence	NOUN
cana-3300	255	13	of	of	ADP
cana-3300	255	14	both	both	CCONJ
cana-3300	255	15	first	first	ADJ
cana-3300	255	16	and	and	CCONJ
cana-3300	255	17	second	second	ADJ
cana-3300	255	18	lag	lag	NOUN
cana-3300	255	19	orders	order	NOUN
cana-3300	255	20	,	,	PUNCT
cana-3300	255	21	validates	validate	VERB
cana-3300	255	22	the	the	DET
cana-3300	255	23	precision	precision	NOUN
cana-3300	255	24	of	of	ADP
cana-3300	255	25	the	the	DET
cana-3300	255	26	inferences	inference	NOUN
cana-3300	255	27	drawn	draw	VERB
cana-3300	255	28	about	about	ADP
cana-3300	255	29	the	the	DET
cana-3300	255	30	data	datum	NOUN
cana-3300	255	31	using	use	VERB
cana-3300	255	32	the	the	DET
cana-3300	255	33	second	second	ADJ
cana-3300	255	34	order	order	NOUN
cana-3300	255	35	sma	sma	NOUN
cana-3300	255	36	polynomial	polynomial	ADJ
cana-3300	255	37	.	.	PUNCT
cana-3300	256	1	acknowledgement	acknowledgement	NOUN
cana-3300	256	2	:	:	PUNCT
cana-3300	256	3	we	we	PRON
cana-3300	256	4	would	would	AUX
cana-3300	256	5	like	like	VERB
cana-3300	256	6	to	to	PART
cana-3300	256	7	thank	thank	VERB
cana-3300	256	8	the	the	DET
cana-3300	256	9	r	r	NOUN
cana-3300	256	10	core	core	NOUN
cana-3300	256	11	team	team	NOUN
cana-3300	256	12	(	(	PUNCT
cana-3300	256	13	2022	2022	NUM
cana-3300	256	14	)	)	PUNCT
cana-3300	256	15	.	.	PUNCT
cana-3300	257	1	r	r	X
cana-3300	257	2	:	:	PUNCT
cana-3300	257	3	a	a	DET
cana-3300	257	4	language	language	NOUN
cana-3300	257	5	and	and	CCONJ
cana-3300	257	6	environment	environment	NOUN
cana-3300	257	7	for	for	ADP
cana-3300	257	8	statistical	statistical	ADJ
cana-3300	257	9	computing	computing	NOUN
cana-3300	257	10	.	.	PUNCT
cana-3300	258	1	r	r	NOUN
cana-3300	258	2	foundation	foundation	NOUN
cana-3300	258	3	for	for	ADP
cana-3300	258	4	statistical	statistical	ADJ
cana-3300	258	5	computing	computing	NOUN
cana-3300	258	6	,	,	PUNCT
cana-3300	258	7	vienna	vienna	PROPN
cana-3300	258	8	,	,	PUNCT
cana-3300	258	9	austria	austria	PROPN
cana-3300	258	10	.	.	PUNCT
cana-3300	259	1	the	the	DET
cana-3300	259	2	url	url	PROPN
cana-3300	259	3	address	address	NOUN
cana-3300	259	4	is	be	AUX
cana-3300	259	5	https://www.r-project.org	https://www.r-project.org	ADJ
cana-3300	259	6	.	.	PUNCT
cana-3300	260	1	we	we	PRON
cana-3300	260	2	extend	extend	VERB
cana-3300	260	3	our	our	PRON
cana-3300	260	4	sincere	sincere	ADJ
cana-3300	260	5	gratitude	gratitude	NOUN
cana-3300	260	6	to	to	PART
cana-3300	260	7	bivand	bivand	VERB
cana-3300	260	8	et	et	PROPN
cana-3300	260	9	al	al	PROPN
cana-3300	260	10	.	.	PROPN
cana-3300	261	1	(	(	PUNCT
cana-3300	261	2	2018	2018	NUM
cana-3300	261	3	)	)	PUNCT
cana-3300	261	4	,	,	PUNCT
cana-3300	261	5	bivand	bivand	NOUN
cana-3300	261	6	et	et	PROPN
cana-3300	261	7	al	al	PROPN
cana-3300	261	8	.	.	PROPN
cana-3300	261	9	(	(	PUNCT
cana-3300	261	10	2021	2021	NUM
cana-3300	261	11	)	)	PUNCT
cana-3300	261	12	,	,	PUNCT
cana-3300	261	13	and	and	CCONJ
cana-3300	261	14	mullen	mullen	PROPN
cana-3300	261	15	et	et	PROPN
cana-3300	261	16	al	al	PROPN
cana-3300	261	17	.	.	PROPN
cana-3300	262	1	(	(	PUNCT
cana-3300	262	2	2011	2011	NUM
cana-3300	262	3	)	)	PUNCT
cana-3300	262	4	for	for	ADP
cana-3300	262	5	developing	develop	VERB
cana-3300	262	6	the	the	DET
cana-3300	262	7	useful	useful	ADJ
cana-3300	262	8	r	r	NOUN
cana-3300	262	9	packages	package	NOUN
cana-3300	262	10	‘	'	PUNCT
cana-3300	262	11	spdep	spdep	ADJ
cana-3300	262	12	’	'	PUNCT
cana-3300	262	13	,	,	PUNCT
cana-3300	262	14	‘	'	PUNCT
cana-3300	262	15	spdata	spdata	NOUN
cana-3300	262	16	’	'	PUNCT
cana-3300	262	17	,	,	PUNCT
cana-3300	262	18	and	and	CCONJ
cana-3300	262	19	‘	'	PUNCT
cana-3300	262	20	deoptim	deoptim	ADJ
cana-3300	262	21	’	'	PUNCT
cana-3300	262	22	,	,	PUNCT
cana-3300	262	23	respectively	respectively	ADV
cana-3300	262	24	.	.	PUNCT
cana-3300	263	1	conflict	conflict	NOUN
cana-3300	263	2	of	of	ADP
cana-3300	263	3	interest	interest	NOUN
cana-3300	263	4	:	:	PUNCT
cana-3300	263	5	there	there	PRON
cana-3300	263	6	is	be	VERB
cana-3300	263	7	no	no	DET
cana-3300	263	8	conflict	conflict	NOUN
cana-3300	263	9	of	of	ADP
cana-3300	263	10	interest	interest	NOUN
cana-3300	263	11	among	among	ADP
cana-3300	263	12	the	the	DET
cana-3300	263	13	authors	author	NOUN
cana-3300	263	14	.	.	PUNCT
cana-3300	264	1	appendix	appendix	VERB
cana-3300	264	2	a	a	PRON
cana-3300	264	3	if	if	SCONJ
cana-3300	264	4	𝑍~2	𝑍~2	NOUN
cana-3300	264	5	𝑛𝑑	𝑛𝑑	ADP
cana-3300	264	6	−	−	PROPN
cana-3300	264	7	𝑜𝑟𝑑𝑒𝑟	𝑜𝑟𝑑𝑒𝑟	NOUN
cana-3300	264	8	−	−	NOUN
cana-3300	264	9	𝑆𝑀𝐴	𝑆𝑀𝐴	NOUN
cana-3300	264	10	−	−	PROPN
cana-3300	264	11	𝑝𝑜𝑙𝑦𝑛𝑜𝑚𝑖𝑎𝑙	𝑝𝑜𝑙𝑦𝑛𝑜𝑚𝑖𝑎𝑙	ADJ
cana-3300	264	12	(	(	PUNCT
cana-3300	264	13	𝛽	𝛽	NOUN
cana-3300	264	14	,	,	PUNCT
cana-3300	264	15	𝜎2	𝜎2	NOUN
cana-3300	264	16	,	,	PUNCT
cana-3300	264	17	𝜃1	𝜃1	NOUN
cana-3300	264	18	,	,	PUNCT
cana-3300	264	19	𝜃2	𝜃2	PROPN
cana-3300	264	20	)	)	PUNCT
cana-3300	264	21	,	,	PUNCT
cana-3300	264	22	then	then	ADV
cana-3300	264	23	its	its	PRON
cana-3300	264	24	characteristic	characteristic	ADJ
cana-3300	264	25	function	function	NOUN
cana-3300	264	26	is	be	AUX
cana-3300	264	27	,	,	PUNCT
cana-3300	264	28	𝜓𝑍(𝑡	𝜓𝑍(𝑡	NOUN
cana-3300	264	29	)	)	PUNCT
cana-3300	264	30	=	=	SYM
cana-3300	264	31	𝐸(𝑒𝑖𝑡𝑇𝑍	𝐸(𝑒𝑖𝑡𝑇𝑍	NOUN
cana-3300	264	32	)	)	PUNCT
cana-3300	265	1	https://www.r-project.org/	https://www.r-project.org/	ADJ
cana-3300	265	2	communications	communication	NOUN
cana-3300	265	3	on	on	ADP
cana-3300	265	4	applied	apply	VERB
cana-3300	265	5	nonlinear	nonlinear	ADJ
cana-3300	265	6	analysis	analysis	NOUN
cana-3300	265	7	issn	issn	NOUN
cana-3300	265	8	:	:	PUNCT
cana-3300	265	9	1074	1074	NUM
cana-3300	265	10	-	-	PUNCT
cana-3300	265	11	133x	133x	NUM
cana-3300	265	12	vol	vol	NOUN
cana-3300	265	13	32	32	NUM
cana-3300	265	14	no	no	NOUN
cana-3300	265	15	.	.	PUNCT
cana-3300	266	1	6s	6s	NUM
cana-3300	266	2	(	(	PUNCT
cana-3300	266	3	2025	2025	NUM
cana-3300	266	4	)	)	PUNCT
cana-3300	266	5	354	354	NUM
cana-3300	266	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3300	266	7	=	=	PUNCT
cana-3300	266	8	𝑒𝑖𝑡𝑇𝑍𝑒	𝑒𝑖𝑡𝑇𝑍𝑒	PUNCT
cana-3300	266	9	−	−	PROPN
cana-3300	267	1	[	[	X
cana-3300	267	2	(	(	PUNCT
cana-3300	267	3	𝐼+𝜃2𝑊2)−1(𝐼+𝜃1𝑊1)−1(𝑍−𝑋𝛽	𝐼+𝜃2𝑊2)−1(𝐼+𝜃1𝑊1)−1(𝑍−𝑋𝛽	NOUN
cana-3300	267	4	)	)	PUNCT
cana-3300	267	5	]	]	PUNCT
cana-3300	267	6	𝑇	𝑇	PROPN
cana-3300	267	7	[	[	X
cana-3300	267	8	(	(	PUNCT
cana-3300	267	9	𝐼+𝜃2𝑊2)−1(𝐼+𝜃1𝑊1)−1(𝑍−𝑋𝛽	𝐼+𝜃2𝑊2)−1(𝐼+𝜃1𝑊1)−1(𝑍−𝑋𝛽	NOUN
cana-3300	267	10	)	)	PUNCT
cana-3300	267	11	]	]	PUNCT
cana-3300	267	12	2𝜎2	2𝜎2	NUM
cana-3300	267	13	𝜎(2𝜋)𝑛/2|(𝐼	𝜎(2𝜋)𝑛/2|(𝐼	NOUN
cana-3300	268	1	+	+	CCONJ
cana-3300	268	2	𝜃1𝑊1)(𝐼	𝜃1𝑊1)(𝐼	NOUN
cana-3300	268	3	+	+	CCONJ
cana-3300	268	4	𝜃2𝑊2)|	𝜃2𝑊2)|	PROPN
cana-3300	268	5	𝑑𝑍	𝑑𝑍	PROPN
cana-3300	268	6	letting	let	VERB
cana-3300	268	7	,	,	PUNCT
cana-3300	268	8	𝑢	𝑢	X
cana-3300	268	9	=	=	PUNCT
cana-3300	268	10	(	(	PUNCT
cana-3300	268	11	𝐼	𝐼	PROPN
cana-3300	268	12	+	+	X
cana-3300	268	13	𝜃2𝑊2)−1(𝐼	𝜃2𝑊2)−1(𝐼	ADJ
cana-3300	268	14	+	+	CCONJ
cana-3300	268	15	𝜃1𝑊1)−1(𝑍	𝜃1𝑊1)−1(𝑍	NOUN
cana-3300	268	16	−	−	NOUN
cana-3300	268	17	𝑋𝛽)𝜎−1	𝑋𝛽)𝜎−1	NOUN
cana-3300	268	18	⇒	⇒	NOUN
cana-3300	268	19	𝑍	𝑍	PROPN
cana-3300	268	20	=	=	SYM
cana-3300	268	21	𝜎(𝐼	𝜎(𝐼	NOUN
cana-3300	268	22	+	+	CCONJ
cana-3300	268	23	𝜃1𝑊1)(𝐼	𝜃1𝑊1)(𝐼	NOUN
cana-3300	268	24	+	+	CCONJ
cana-3300	268	25	𝜃1𝑊1	𝜃1𝑊1	NUM
cana-3300	268	26	)	)	PUNCT
cana-3300	269	1	+	+	CCONJ
cana-3300	270	1	𝑋𝛽	𝑋𝛽	PROPN
cana-3300	270	2	and	and	CCONJ
cana-3300	270	3	,	,	PUNCT
cana-3300	270	4	𝐽	𝐽	PROPN
cana-3300	270	5	=	=	PUNCT
cana-3300	270	6	𝑑𝑍	𝑑𝑍	PROPN
cana-3300	270	7	𝑑𝑢	𝑑𝑢	X
cana-3300	271	1	=	=	PUNCT
cana-3300	271	2	𝜎|(𝐼	𝜎|(𝐼	X
cana-3300	271	3	+	+	NUM
cana-3300	271	4	𝜃1𝑊1)(𝐼	𝜃1𝑊1)(𝐼	NOUN
cana-3300	271	5	+	+	CCONJ
cana-3300	271	6	𝜃2𝑊2)|	𝜃2𝑊2)|	PROPN
cana-3300	271	7	∴	∴	PROPN
cana-3300	271	8	𝜓𝑍(𝑡	𝜓𝑍(𝑡	PROPN
cana-3300	271	9	)	)	PUNCT
cana-3300	272	1	=	=	SYM
cana-3300	272	2	∫	∫	PROPN
cana-3300	273	1	𝑒𝑖𝑡𝑇𝑋𝛽	𝑒𝑖𝑡𝑇𝑋𝛽	PROPN
cana-3300	273	2	(	(	PUNCT
cana-3300	273	3	2𝜋)𝑛/2	2𝜋)𝑛/2	NUM
cana-3300	273	4	×	×	VERB
cana-3300	274	1	𝑒𝑖𝑡𝑇𝜎(𝐼+𝜃1𝑊1)(𝐼+𝜃1𝑊1)𝑢−	𝑒𝑖𝑡𝑇𝜎(𝐼+𝜃1𝑊1)(𝐼+𝜃1𝑊1)𝑢−	PROPN
cana-3300	274	2	𝑢𝑇𝑢	𝑢𝑇𝑢	NOUN
cana-3300	274	3	2	2	NUM
cana-3300	274	4	𝑑𝑢	𝑑𝑢	NOUN
cana-3300	274	5	=	=	PUNCT
cana-3300	274	6	𝑒𝑖𝑡𝑇𝑋𝛽	𝑒𝑖𝑡𝑇𝑋𝛽	PROPN
cana-3300	274	7	(	(	PUNCT
cana-3300	274	8	2𝜋)𝑛/2	2𝜋)𝑛/2	NUM
cana-3300	274	9	∫	∫	PROPN
cana-3300	274	10	𝑒	𝑒	PROPN
cana-3300	275	1	[	[	X
cana-3300	275	2	𝑢𝑇−2𝑖𝑡𝑇𝜎(𝐼+𝜃1𝑊1)(𝐼+𝜃2𝑊2)]𝑢	𝑢𝑇−2𝑖𝑡𝑇𝜎(𝐼+𝜃1𝑊1)(𝐼+𝜃2𝑊2)]𝑢	ADJ
cana-3300	275	3	2	2	NUM
cana-3300	275	4	𝑑𝑢	𝑑𝑢	VERB
cana-3300	275	5	again	again	ADV
cana-3300	275	6	letting	let	VERB
cana-3300	275	7	,	,	PUNCT
cana-3300	275	8	𝑦𝑇	𝑦𝑇	PROPN
cana-3300	275	9	=	=	SYM
cana-3300	275	10	𝑢𝑇	𝑢𝑇	NOUN
cana-3300	275	11	−	−	NOUN
cana-3300	275	12	𝑖𝑡𝑇𝜎(𝐼	𝑖𝑡𝑇𝜎(𝐼	NOUN
cana-3300	276	1	+	+	NUM
cana-3300	276	2	𝜃1𝑊1)(𝐼	𝜃1𝑊1)(𝐼	NOUN
cana-3300	276	3	+	+	CCONJ
cana-3300	276	4	𝜃2𝑊2	𝜃2𝑊2	NOUN
cana-3300	276	5	)	)	PUNCT
cana-3300	276	6	∴	∴	PROPN
cana-3300	276	7	𝑢𝑇	𝑢𝑇	NOUN
cana-3300	276	8	=	=	SYM
cana-3300	276	9	𝑦𝑇	𝑦𝑇	PROPN
cana-3300	276	10	+	+	NOUN
cana-3300	276	11	𝑖𝑡𝑇𝜎(𝐼	𝑖𝑡𝑇𝜎(𝐼	NOUN
cana-3300	277	1	+	+	X
cana-3300	277	2	𝜃1𝑊1)(𝐼	𝜃1𝑊1)(𝐼	NOUN
cana-3300	277	3	+	+	CCONJ
cana-3300	277	4	𝜃2𝑊2	𝜃2𝑊2	NOUN
cana-3300	277	5	)	)	PUNCT
cana-3300	277	6	and	and	CCONJ
cana-3300	277	7	,	,	PUNCT
cana-3300	277	8	𝑢	𝑢	X
cana-3300	277	9	=	=	SYM
cana-3300	277	10	𝑦	𝑦	PROPN
cana-3300	277	11	+	+	X
cana-3300	277	12	𝑖𝜎(𝐼	𝑖𝜎(𝐼	PRON
cana-3300	278	1	+	+	CCONJ
cana-3300	278	2	𝜃2𝑊2)𝑇(𝐼	𝜃2𝑊2)𝑇(𝐼	NUM
cana-3300	278	3	+	+	CCONJ
cana-3300	278	4	𝜃1𝑊1)𝑇𝑡	𝜃1𝑊1)𝑇𝑡	NOUN
cana-3300	278	5	the	the	DET
cana-3300	278	6	differential	differential	NOUN
cana-3300	278	7	of	of	ADP
cana-3300	278	8	‘	'	PUNCT
cana-3300	278	9	u	u	NOUN
cana-3300	278	10	’	'	PUNCT
cana-3300	278	11	with	with	ADP
cana-3300	278	12	respect	respect	NOUN
cana-3300	278	13	to	to	ADP
cana-3300	278	14	‘	'	PUNCT
cana-3300	278	15	y	y	X
cana-3300	278	16	’	'	PUNCT
cana-3300	278	17	is	be	AUX
cana-3300	278	18	1	1	NUM
cana-3300	278	19	.	.	PUNCT
cana-3300	278	20	𝜓𝑍(𝑡	𝜓𝑍(𝑡	NOUN
cana-3300	278	21	)	)	PUNCT
cana-3300	279	1	=	=	VERB
cana-3300	279	2	𝑒𝑖𝑡𝑇𝑋𝛽	𝑒𝑖𝑡𝑇𝑋𝛽	PROPN
cana-3300	279	3	(	(	PUNCT
cana-3300	279	4	2𝜋)𝑛/2	2𝜋)𝑛/2	NUM
cana-3300	279	5	∫	∫	PROPN
cana-3300	279	6	𝑒−	𝑒−	NOUN
cana-3300	279	7	1	1	NUM
cana-3300	279	8	2	2	NUM
cana-3300	279	9	[	[	X
cana-3300	279	10	𝑦𝑇−𝑖𝑡𝑇𝜎(𝐼+𝜃1𝑊1)(𝐼+𝜃2𝑊2)][𝑦−𝑖𝜎(𝐼+𝜃1𝑊1)(𝐼+𝜃2𝑊2)𝑡	𝑦𝑇−𝑖𝑡𝑇𝜎(𝐼+𝜃1𝑊1)(𝐼+𝜃2𝑊2)][𝑦−𝑖𝜎(𝐼+𝜃1𝑊1)(𝐼+𝜃2𝑊2)𝑡	X
cana-3300	279	11	]	]	X
cana-3300	279	12	𝑑𝑦	𝑑𝑦	NOUN
cana-3300	279	13	=	=	SYM
cana-3300	279	14	𝑒𝑖𝑡𝑇𝑋𝛽	𝑒𝑖𝑡𝑇𝑋𝛽	PROPN
cana-3300	279	15	(	(	PUNCT
cana-3300	279	16	2𝜋)𝑛/2	2𝜋)𝑛/2	NUM
cana-3300	279	17	∫	∫	PROPN
cana-3300	279	18	𝑒−	𝑒−	PROPN
cana-3300	280	1	𝑦𝑇𝑦	𝑦𝑇𝑦	NUM
cana-3300	280	2	2	2	NUM
cana-3300	280	3	𝑒	𝑒	X
cana-3300	280	4	𝑖2𝜎2𝑡𝑇(𝐼+𝜃1𝑊1)(𝐼+𝜃2𝑊2)(𝐼+𝜃2𝑊2	𝑖2𝜎2𝑡𝑇(𝐼+𝜃1𝑊1)(𝐼+𝜃2𝑊2)(𝐼+𝜃2𝑊2	NOUN
cana-3300	280	5	)	)	PUNCT
cana-3300	280	6	𝑇	𝑇	PROPN
cana-3300	280	7	(	(	PUNCT
cana-3300	280	8	𝐼+𝜃1𝑊1	𝐼+𝜃1𝑊1	PROPN
cana-3300	280	9	)	)	PUNCT
cana-3300	280	10	𝑇	𝑇	PROPN
cana-3300	280	11	𝑡	𝑡	SYM
cana-3300	280	12	2	2	NUM
cana-3300	280	13	𝑑𝑦	𝑑𝑦	NOUN
cana-3300	280	14	=	=	NOUN
cana-3300	280	15	𝑒𝑖𝑡𝑇𝑋𝛽+	𝑒𝑖𝑡𝑇𝑋𝛽+	NOUN
cana-3300	280	16	𝑖2𝜎2𝑡𝑇(𝐼+𝜃1𝑊1)(𝐼+𝜃2𝑊2)(𝐼+𝜃2𝑊2	𝑖2𝜎2𝑡𝑇(𝐼+𝜃1𝑊1)(𝐼+𝜃2𝑊2)(𝐼+𝜃2𝑊2	ADJ
cana-3300	280	17	)	)	PUNCT
cana-3300	280	18	𝑇	𝑇	PROPN
cana-3300	280	19	(	(	PUNCT
cana-3300	280	20	𝐼+𝜃1𝑊1	𝐼+𝜃1𝑊1	PROPN
cana-3300	280	21	)	)	PUNCT
cana-3300	280	22	𝑇	𝑇	PROPN
cana-3300	280	23	𝑡	𝑡	SYM
cana-3300	280	24	2	2	NUM
cana-3300	280	25	∫	∫	NOUN
cana-3300	280	26	𝑒	𝑒	NOUN
cana-3300	280	27	−	−	PROPN
cana-3300	280	28	𝑦𝑇𝑦	𝑦𝑇𝑦	NUM
cana-3300	280	29	2	2	NUM
cana-3300	280	30	(	(	PUNCT
cana-3300	280	31	2𝜋)𝑛/2	2𝜋)𝑛/2	NUM
cana-3300	280	32	𝑑𝑦	𝑑𝑦	VERB
cana-3300	280	33	=	=	NOUN
cana-3300	280	34	𝑒𝑖𝑡𝑇𝑋𝛽+	𝑒𝑖𝑡𝑇𝑋𝛽+	NOUN
cana-3300	280	35	𝑖2𝜎2𝑡𝑇(𝐼+𝜃1𝑊1)(𝐼+𝜃2𝑊2)(𝐼+𝜃2𝑊2	𝑖2𝜎2𝑡𝑇(𝐼+𝜃1𝑊1)(𝐼+𝜃2𝑊2)(𝐼+𝜃2𝑊2	ADJ
cana-3300	280	36	)	)	PUNCT
cana-3300	280	37	𝑇	𝑇	PROPN
cana-3300	280	38	(	(	PUNCT
cana-3300	280	39	𝐼+𝜃1𝑊1	𝐼+𝜃1𝑊1	PROPN
cana-3300	280	40	)	)	PUNCT
cana-3300	280	41	𝑇	𝑇	PROPN
cana-3300	280	42	𝑡	𝑡	SYM
cana-3300	280	43	2	2	NUM
cana-3300	280	44	×	×	NOUN
cana-3300	280	45	1	1	NUM
cana-3300	280	46	=	=	NOUN
cana-3300	280	47	𝑒𝑖𝑡𝑇𝑋𝛽+	𝑒𝑖𝑡𝑇𝑋𝛽+	NOUN
cana-3300	280	48	𝑖2𝜎2𝑡𝑇(𝐼+𝜃1𝑊1)(𝐼+𝜃2𝑊2)(𝐼+𝜃2𝑊2	𝑖2𝜎2𝑡𝑇(𝐼+𝜃1𝑊1)(𝐼+𝜃2𝑊2)(𝐼+𝜃2𝑊2	ADJ
cana-3300	280	49	)	)	PUNCT
cana-3300	280	50	𝑇	𝑇	PROPN
cana-3300	280	51	(	(	PUNCT
cana-3300	280	52	𝐼+𝜃1𝑊1	𝐼+𝜃1𝑊1	PROPN
cana-3300	280	53	)	)	PUNCT
cana-3300	280	54	𝑇	𝑇	PROPN
cana-3300	280	55	𝑡	𝑡	SYM
cana-3300	280	56	2	2	NUM
cana-3300	280	57	let	let	VERB
cana-3300	280	58	,	,	PUNCT
cana-3300	280	59	𝜔	𝜔	VERB
cana-3300	280	60	=	=	SYM
cana-3300	280	61	𝑡𝑇(𝐼	𝑡𝑇(𝐼	ADP
cana-3300	280	62	+	+	PUNCT
cana-3300	280	63	𝜃1𝑊1)(𝐼	𝜃1𝑊1)(𝐼	NOUN
cana-3300	280	64	+	+	SYM
cana-3300	280	65	𝜃2𝑊2)(𝐼	𝜃2𝑊2)(𝐼	NOUN
cana-3300	280	66	+	+	CCONJ
cana-3300	280	67	𝜃2𝑊2)𝑇(𝐼	𝜃2𝑊2)𝑇(𝐼	NUM
cana-3300	280	68	+	+	CCONJ
cana-3300	280	69	𝜃1𝑊1)𝑇𝑡	𝜃1𝑊1)𝑇𝑡	PROPN
cana-3300	280	70	∴	∴	PROPN
cana-3300	280	71	𝜓𝑍(𝑡	𝜓𝑍(𝑡	PROPN
cana-3300	280	72	)	)	PUNCT
cana-3300	280	73	=	=	SYM
cana-3300	281	1	𝑒𝑖𝑡𝑇𝑋𝛽−	𝑒𝑖𝑡𝑇𝑋𝛽−	PROPN
cana-3300	281	2	𝑡𝑇𝜔𝑡	𝑡𝑇𝜔𝑡	PROPN
cana-3300	281	3	2	2	NUM
cana-3300	281	4	now	now	ADV
cana-3300	281	5	,	,	PUNCT
cana-3300	281	6	𝜓𝑍	𝜓𝑍	PROPN
cana-3300	281	7	′	′	NUM
cana-3300	281	8	(	(	PUNCT
cana-3300	281	9	𝑡	𝑡	NOUN
cana-3300	281	10	)	)	PUNCT
cana-3300	281	11	=	=	SYM
cana-3300	281	12	𝑒𝑖𝑡𝑇𝑋𝛽−	𝑒𝑖𝑡𝑇𝑋𝛽−	PROPN
cana-3300	281	13	𝑡𝑇𝜔𝑡	𝑡𝑇𝜔𝑡	PROPN
cana-3300	281	14	2	2	NUM
cana-3300	281	15	𝑖𝑋𝛽	𝑖𝑋𝛽	VERB
cana-3300	281	16	−	−	PROPN
cana-3300	281	17	𝑒𝑖𝑡𝑇𝑋𝛽−	𝑒𝑖𝑡𝑇𝑋𝛽−	PROPN
cana-3300	281	18	𝑡𝑇𝜔𝑡	𝑡𝑇𝜔𝑡	PROPN
cana-3300	281	19	2	2	NUM
cana-3300	281	20	𝜔𝑡	𝜔𝑡	ADP
cana-3300	281	21	𝜓𝑍	𝜓𝑍	NOUN
cana-3300	281	22	′′	′′	PROPN
cana-3300	281	23	(	(	PUNCT
cana-3300	281	24	𝑡	𝑡	PROPN
cana-3300	281	25	)	)	PUNCT
cana-3300	281	26	=	=	SYM
cana-3300	282	1	𝑒𝑖𝑡𝑇𝑋𝛽−	𝑒𝑖𝑡𝑇𝑋𝛽−	PROPN
cana-3300	282	2	𝑡𝑇𝜔𝑡	𝑡𝑇𝜔𝑡	PROPN
cana-3300	282	3	2	2	NUM
cana-3300	282	4	𝑖𝑋𝛽(𝑖𝑋𝛽	𝑖𝑋𝛽(𝑖𝑋𝛽	ADJ
cana-3300	282	5	−	−	PROPN
cana-3300	282	6	𝜔𝑡	𝜔𝑡	PROPN
cana-3300	282	7	)	)	PUNCT
cana-3300	282	8	−	−	PROPN
cana-3300	282	9	𝜔𝑒𝑖𝑡𝑇𝑋𝛽−	𝜔𝑒𝑖𝑡𝑇𝑋𝛽−	PROPN
cana-3300	282	10	𝑡𝑇𝜔𝑡	𝑡𝑇𝜔𝑡	PROPN
cana-3300	282	11	2	2	NUM
cana-3300	282	12	−	−	NOUN
cana-3300	283	1	𝜔𝑡(𝑖𝑋𝛽	𝜔𝑡(𝑖𝑋𝛽	PROPN
cana-3300	283	2	−	−	PROPN
cana-3300	283	3	𝜔𝑡)𝑒𝑖𝑡𝑇𝑋𝛽−	𝜔𝑡)𝑒𝑖𝑡𝑇𝑋𝛽−	PUNCT
cana-3300	284	1	𝑡𝑇𝜔𝑡	𝑡𝑇𝜔𝑡	NOUN
cana-3300	284	2	2	2	NUM
cana-3300	284	3	therefore	therefore	ADV
cana-3300	284	4	,	,	PUNCT
cana-3300	284	5	𝐸(𝑍	𝐸(𝑍	NOUN
cana-3300	284	6	)	)	PUNCT
cana-3300	284	7	=	=	SYM
cana-3300	284	8	(	(	PUNCT
cana-3300	284	9	−𝑖)𝜓𝑍	−𝑖)𝜓𝑍	NOUN
cana-3300	284	10	′	′	NUM
cana-3300	284	11	(	(	PUNCT
cana-3300	284	12	𝑡)|	𝑡)|	NOUN
cana-3300	284	13	𝑡=0	𝑡=0	ADJ
cana-3300	284	14	communications	communication	NOUN
cana-3300	284	15	on	on	ADP
cana-3300	284	16	applied	apply	VERB
cana-3300	284	17	nonlinear	nonlinear	ADJ
cana-3300	284	18	analysis	analysis	NOUN
cana-3300	284	19	issn	issn	NOUN
cana-3300	284	20	:	:	PUNCT
cana-3300	284	21	1074	1074	NUM
cana-3300	284	22	-	-	PUNCT
cana-3300	284	23	133x	133x	NUM
cana-3300	284	24	vol	vol	NOUN
cana-3300	284	25	32	32	NUM
cana-3300	284	26	no	no	NOUN
cana-3300	284	27	.	.	PUNCT
cana-3300	285	1	6s	6s	NUM
cana-3300	285	2	(	(	PUNCT
cana-3300	285	3	2025	2025	NUM
cana-3300	285	4	)	)	PUNCT
cana-3300	285	5	355	355	NUM
cana-3300	285	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3300	285	7	=	=	SYM
cana-3300	285	8	(	(	PUNCT
cana-3300	285	9	−𝑖)𝑖𝑋𝛽	−𝑖)𝑖𝑋𝛽	PROPN
cana-3300	285	10	=	=	SYM
cana-3300	285	11	−(−1)𝑋𝛽	−(−1)𝑋𝛽	PROPN
cana-3300	286	1	=	=	SYM
cana-3300	286	2	𝑋𝛽	𝑋𝛽	PROPN
cana-3300	286	3	𝐸(𝑍2	𝐸(𝑍2	NOUN
cana-3300	286	4	)	)	PUNCT
cana-3300	286	5	=	=	SYM
cana-3300	287	1	(	(	PUNCT
cana-3300	287	2	−𝑖)2𝜓𝑍	−𝑖)2𝜓𝑍	PROPN
cana-3300	287	3	′′	′′	PROPN
cana-3300	287	4	(	(	PUNCT
cana-3300	287	5	𝑡)|	𝑡)|	NOUN
cana-3300	287	6	𝑡=0	𝑡=0	X
cana-3300	287	7	=	=	SYM
cana-3300	287	8	(	(	PUNCT
cana-3300	287	9	−1)(𝑖2𝑋𝛽𝛽𝑇𝑋𝑇	−1)(𝑖2𝑋𝛽𝛽𝑇𝑋𝑇	NOUN
cana-3300	287	10	−	−	NOUN
cana-3300	287	11	𝜔	𝜔	NUM
cana-3300	287	12	)	)	PUNCT
cana-3300	287	13	=	=	SYM
cana-3300	287	14	𝑋𝛽𝛽𝑇𝑋𝑇	𝑋𝛽𝛽𝑇𝑋𝑇	PROPN
cana-3300	287	15	+	+	CCONJ
cana-3300	287	16	𝜔	𝜔	VERB
cana-3300	287	17	thus	thus	ADV
cana-3300	287	18	,	,	PUNCT
cana-3300	287	19	𝐶𝑜𝑣	𝐶𝑜𝑣	PROPN
cana-3300	287	20	(	(	PUNCT
cana-3300	287	21	𝑍	𝑍	PROPN
cana-3300	287	22	)	)	PUNCT
cana-3300	287	23	=	=	SYM
cana-3300	287	24	𝐸(𝑍2	𝐸(𝑍2	NOUN
cana-3300	287	25	)	)	PUNCT
cana-3300	287	26	−	−	PUNCT
cana-3300	288	1	[	[	X
cana-3300	288	2	𝐸(𝑍)]2	𝐸(𝑍)]2	PROPN
cana-3300	288	3	=	=	PROPN
cana-3300	288	4	𝑋𝛽𝛽𝑇𝑋𝑇	𝑋𝛽𝛽𝑇𝑋𝑇	PROPN
cana-3300	288	5	+	+	CCONJ
cana-3300	288	6	𝜔	𝜔	PRON
cana-3300	288	7	−	−	PROPN
cana-3300	288	8	𝑋𝛽𝛽𝑇𝑋𝑇	𝑋𝛽𝛽𝑇𝑋𝑇	PROPN
cana-3300	288	9	=	=	PUNCT
cana-3300	288	10	𝜔	𝜔	NOUN
cana-3300	288	11	=	=	NOUN
cana-3300	288	12	𝜎2(𝐼	𝜎2(𝐼	NOUN
cana-3300	288	13	+	+	NOUN
cana-3300	288	14	𝜃1𝑊1)(𝐼	𝜃1𝑊1)(𝐼	NOUN
cana-3300	288	15	+	+	SYM
cana-3300	288	16	𝜃2𝑊2)(𝐼	𝜃2𝑊2)(𝐼	NOUN
cana-3300	288	17	+	+	CCONJ
cana-3300	288	18	𝜃2𝑊2)𝑇(𝐼	𝜃2𝑊2)𝑇(𝐼	PUNCT
cana-3300	288	19	+	+	CCONJ
cana-3300	288	20	𝜃1𝑊1)𝑇	𝜃1𝑊1)𝑇	AUX
cana-3300	288	21	refrences	refrence	VERB
cana-3300	288	22	[	[	X
cana-3300	288	23	1	1	NUM
cana-3300	288	24	]	]	X
cana-3300	288	25	anselin	anselin	NOUN
cana-3300	288	26	,	,	PUNCT
cana-3300	288	27	l.	l.	PROPN
cana-3300	288	28	bera	bera	PROPN
cana-3300	288	29	,	,	PUNCT
cana-3300	288	30	a.k	a.k	PROPN
cana-3300	288	31	.	.	PUNCT
cana-3300	289	1	(	(	PUNCT
cana-3300	289	2	1998).spatial	1998).spatial	ADJ
cana-3300	289	3	dependence	dependence	NOUN
cana-3300	289	4	in	in	ADP
cana-3300	289	5	linear	linear	PROPN
cana-3300	289	6	regression	regression	NOUN
cana-3300	289	7	models	model	NOUN
cana-3300	289	8	with	with	ADP
cana-3300	289	9	an	an	DET
cana-3300	289	10	introduction	introduction	NOUN
cana-3300	289	11	to	to	ADP
cana-3300	289	12	spatial	spatial	ADJ
cana-3300	289	13	econometrics	econometric	NOUN
cana-3300	289	14	.	.	PUNCT
cana-3300	290	1	statistics	statistic	NOUN
cana-3300	290	2	:	:	PUNCT
cana-3300	290	3	textbooks	textbook	NOUN
cana-3300	290	4	and	and	CCONJ
cana-3300	290	5	monographs	monograph	NOUN
cana-3300	290	6	.	.	PUNCT
cana-3300	291	1	155	155	NUM
cana-3300	291	2	,	,	PUNCT
cana-3300	291	3	237	237	NUM
cana-3300	291	4	-	-	SYM
cana-3300	291	5	289	289	NUM
cana-3300	291	6	.	.	PUNCT
cana-3300	292	1	[	[	X
cana-3300	292	2	2	2	NUM
cana-3300	292	3	]	]	PUNCT
cana-3300	292	4	anselin	anselin	NOUN
cana-3300	292	5	,	,	PUNCT
cana-3300	292	6	l.	l.	PROPN
cana-3300	292	7	(	(	PUNCT
cana-3300	292	8	1988	1988	NUM
cana-3300	292	9	)	)	PUNCT
cana-3300	292	10	.	.	PUNCT
cana-3300	293	1	spatial	spatial	ADJ
cana-3300	293	2	econometrics	econometric	NOUN
cana-3300	293	3	:	:	PUNCT
cana-3300	293	4	methods	method	NOUN
cana-3300	293	5	and	and	CCONJ
cana-3300	293	6	models	model	NOUN
cana-3300	293	7	.	.	PUNCT
cana-3300	294	1	springer	springer	NOUN
cana-3300	294	2	science	science	PROPN
cana-3300	294	3	&	&	CCONJ
cana-3300	294	4	business	business	NOUN
cana-3300	294	5	media	medium	NOUN
cana-3300	294	6	.	.	PUNCT
cana-3300	295	1	[	[	X
cana-3300	295	2	3	3	NUM
cana-3300	295	3	]	]	X
cana-3300	295	4	besag	besag	NOUN
cana-3300	295	5	,	,	PUNCT
cana-3300	295	6	j.(1974	j.(1974	PROPN
cana-3300	295	7	)	)	PUNCT
cana-3300	295	8	.	.	PUNCT
cana-3300	296	1	spatial	spatial	ADJ
cana-3300	296	2	interaction	interaction	NOUN
cana-3300	296	3	and	and	CCONJ
cana-3300	296	4	the	the	DET
cana-3300	296	5	statistical	statistical	ADJ
cana-3300	296	6	analysis	analysis	NOUN
cana-3300	296	7	of	of	ADP
cana-3300	296	8	lattice	lattice	NOUN
cana-3300	296	9	systems	system	NOUN
cana-3300	296	10	.	.	PUNCT
cana-3300	297	1	journal	journal	NOUN
cana-3300	297	2	of	of	ADP
cana-3300	297	3	the	the	DET
cana-3300	297	4	royal	royal	ADJ
cana-3300	297	5	statistical	statistical	ADJ
cana-3300	297	6	society	society	NOUN
cana-3300	297	7	.	.	PUNCT
cana-3300	298	1	series	series	NOUN
cana-3300	298	2	(	(	PUNCT
cana-3300	298	3	methodological	methodological	ADJ
cana-3300	298	4	)	)	PUNCT
cana-3300	298	5	.	.	PUNCT
cana-3300	299	1	36	36	NUM
cana-3300	299	2	,	,	PUNCT
cana-3300	299	3	192	192	NUM
cana-3300	299	4	-	-	SYM
cana-3300	299	5	236	236	NUM
cana-3300	299	6	.	.	PUNCT
cana-3300	300	1	[	[	X
cana-3300	300	2	4	4	NUM
cana-3300	300	3	]	]	PUNCT
cana-3300	300	4	bivand	bivand	ADV
cana-3300	300	5	,	,	PUNCT
cana-3300	300	6	r.	r.	PROPN
cana-3300	300	7	s.	s.	PROPN
cana-3300	300	8	wong	wong	PROPN
cana-3300	300	9	,	,	PUNCT
cana-3300	300	10	d.	d.	PROPN
cana-3300	300	11	w.s	w.s	PROPN
cana-3300	300	12	.	.	PUNCT
cana-3300	300	13	(	(	PUNCT
cana-3300	300	14	2018	2018	NUM
cana-3300	300	15	)	)	PUNCT
cana-3300	300	16	.	.	PUNCT
cana-3300	301	1	comparing	compare	VERB
cana-3300	301	2	implementations	implementation	NOUN
cana-3300	301	3	of	of	ADP
cana-3300	301	4	global	global	ADJ
cana-3300	301	5	and	and	CCONJ
cana-3300	301	6	local	local	ADJ
cana-3300	301	7	indicators	indicator	NOUN
cana-3300	301	8	of	of	ADP
cana-3300	301	9	spatial	spatial	ADJ
cana-3300	301	10	association	association	NOUN
cana-3300	301	11	test	test	NOUN
cana-3300	301	12	.	.	PUNCT
cana-3300	302	1	test	test	NOUN
cana-3300	302	2	.	.	PUNCT
cana-3300	303	1	27	27	NUM
cana-3300	303	2	(	(	PUNCT
cana-3300	303	3	3	3	NUM
cana-3300	303	4	)	)	PUNCT
cana-3300	303	5	,	,	PUNCT
cana-3300	303	6	716	716	NUM
cana-3300	303	7	-	-	SYM
cana-3300	303	8	748	748	NUM
cana-3300	303	9	.	.	PUNCT
cana-3300	304	1	https://doi.org/10.1007/s11749-018-0599-x	https://doi.org/10.1007/s11749-018-0599-x	NOUN
cana-3300	304	2	.	.	PUNCT
cana-3300	305	1	[	[	X
cana-3300	305	2	5	5	NUM
cana-3300	305	3	]	]	PUNCT
cana-3300	305	4	bivand	bivand	NOUN
cana-3300	305	5	r	r	PROPN
cana-3300	305	6	,	,	PUNCT
cana-3300	305	7	nowosad	nowosad	PROPN
cana-3300	305	8	j	j	PROPN
cana-3300	305	9	,	,	PUNCT
cana-3300	305	10	lovelace	lovelace	PROPN
cana-3300	305	11	r.	r.	PROPN
cana-3300	305	12	(	(	PUNCT
cana-3300	305	13	2021	2021	NUM
cana-3300	305	14	)	)	PUNCT
cana-3300	305	15	spdata	spdata	NOUN
cana-3300	305	16	:	:	PUNCT
cana-3300	305	17	datasets	dataset	NOUN
cana-3300	305	18	for	for	ADP
cana-3300	305	19	spatial	spatial	ADJ
cana-3300	305	20	analysis	analysis	NOUN
cana-3300	305	21	.	.	PUNCT
cana-3300	306	1	r	r	NOUN
cana-3300	306	2	package	package	NOUN
cana-3300	306	3	version	version	NOUN
cana-3300	306	4	0.3.10	0.3.10	NUM
cana-3300	306	5	.	.	PUNCT
cana-3300	306	6	2021	2021	NUM
cana-3300	306	7	.	.	PUNCT
cana-3300	307	1	https://cran.r-project.org/package=spdata	https://cran.r-project.org/package=spdata	PROPN
cana-3300	307	2	.	.	PUNCT
cana-3300	308	1	[	[	X
cana-3300	308	2	6	6	NUM
cana-3300	308	3	]	]	X
cana-3300	308	4	cressie	cressie	PROPN
cana-3300	308	5	,	,	PUNCT
cana-3300	308	6	n.	n.	NOUN
cana-3300	308	7	(	(	PUNCT
cana-3300	308	8	1993	1993	NUM
cana-3300	308	9	)	)	PUNCT
cana-3300	308	10	.	.	PUNCT
cana-3300	309	1	statistics	statistic	NOUN
cana-3300	309	2	for	for	ADP
cana-3300	309	3	spatial	spatial	ADJ
cana-3300	309	4	data	datum	NOUN
cana-3300	309	5	.	.	PUNCT
cana-3300	310	1	new	new	PROPN
cana-3300	310	2	york	york	PROPN
cana-3300	310	3	:	:	PUNCT
cana-3300	310	4	john	john	PROPN
cana-3300	310	5	wiley	wiley	PROPN
cana-3300	310	6	and	and	CCONJ
cana-3300	310	7	sons	son	NOUN
cana-3300	310	8	.	.	PUNCT
cana-3300	311	1	[	[	X
cana-3300	311	2	7	7	NUM
cana-3300	311	3	]	]	X
cana-3300	311	4	hainning	hainning	NOUN
cana-3300	311	5	,	,	PUNCT
cana-3300	311	6	r.p	r.p	PROPN
cana-3300	311	7	.	.	PROPN
cana-3300	311	8	(	(	PUNCT
cana-3300	311	9	1978	1978	NUM
cana-3300	311	10	)	)	PUNCT
cana-3300	311	11	.	.	PUNCT
cana-3300	312	1	the	the	DET
cana-3300	312	2	moving	move	VERB
cana-3300	312	3	average	average	ADJ
cana-3300	312	4	model	model	NOUN
cana-3300	312	5	for	for	ADP
cana-3300	312	6	spatial	spatial	ADJ
cana-3300	312	7	interaction	interaction	NOUN
cana-3300	312	8	.	.	PUNCT
cana-3300	313	1	transactions	transaction	NOUN
cana-3300	313	2	of	of	ADP
cana-3300	313	3	the	the	DET
cana-3300	313	4	institute	institute	NOUN
cana-3300	313	5	of	of	ADP
cana-3300	313	6	british	british	PROPN
cana-3300	313	7	geographers	geographer	NOUN
cana-3300	313	8	.	.	PUNCT
cana-3300	314	1	3	3	NUM
cana-3300	314	2	(	(	PUNCT
cana-3300	314	3	2	2	NUM
cana-3300	314	4	)	)	PUNCT
cana-3300	314	5	,	,	PUNCT
cana-3300	314	6	202	202	NUM
cana-3300	314	7	-	-	SYM
cana-3300	314	8	225	225	NUM
cana-3300	314	9	.	.	PUNCT
cana-3300	315	1	[	[	X
cana-3300	315	2	8	8	NUM
cana-3300	315	3	]	]	X
cana-3300	315	4	hepple	hepple	PROPN
cana-3300	315	5	,	,	PUNCT
cana-3300	315	6	l.w	l.w	PROPN
cana-3300	315	7	.	.	PUNCT
cana-3300	315	8	(	(	PUNCT
cana-3300	315	9	2003	2003	NUM
cana-3300	315	10	)	)	PUNCT
cana-3300	315	11	.	.	PUNCT
cana-3300	316	1	bayesian	bayesian	NOUN
cana-3300	316	2	and	and	CCONJ
cana-3300	316	3	maximum	maximum	ADJ
cana-3300	316	4	likelihood	likelihood	NOUN
cana-3300	316	5	of	of	ADP
cana-3300	316	6	the	the	DET
cana-3300	316	7	linear	linear	ADJ
cana-3300	316	8	model	model	NOUN
cana-3300	316	9	with	with	ADP
cana-3300	316	10	spatial	spatial	ADJ
cana-3300	316	11	moving	move	VERB
cana-3300	316	12	average	average	ADJ
cana-3300	316	13	disturbances	disturbance	NOUN
cana-3300	316	14	.	.	PUNCT
cana-3300	317	1	http://www.ggy.bris.ac.uk/personal/leshepple/bayesian.pdf	http://www.ggy.bris.ac.uk/personal/leshepple/bayesian.pdf	PROPN
cana-3300	317	2	.	.	PUNCT
cana-3300	318	1	[	[	X
cana-3300	318	2	9	9	NUM
cana-3300	318	3	]	]	SYM
cana-3300	318	4	jha	jha	PROPN
cana-3300	318	5	,	,	PUNCT
cana-3300	318	6	s.k	s.k	PROPN
cana-3300	318	7	.	.	PROPN
cana-3300	318	8	begum	begum	PROPN
cana-3300	318	9	,	,	PUNCT
cana-3300	318	10	r.	r.	PROPN
cana-3300	318	11	(	(	PUNCT
cana-3300	318	12	2023	2023	NUM
cana-3300	318	13	)	)	PUNCT
cana-3300	318	14	.	.	PUNCT
cana-3300	319	1	a	a	DET
cana-3300	319	2	proposed	propose	VERB
cana-3300	319	3	weighting	weighting	NOUN
cana-3300	319	4	scheme	scheme	NOUN
cana-3300	319	5	for	for	ADP
cana-3300	319	6	spatial	spatial	ADJ
cana-3300	319	7	moving	move	VERB
cana-3300	319	8	average	average	ADJ
cana-3300	319	9	model	model	NOUN
cana-3300	319	10	in	in	ADP
cana-3300	319	11	irregular	irregular	ADJ
cana-3300	319	12	lattice	lattice	NOUN
cana-3300	319	13	.	.	PUNCT
cana-3300	320	1	journal	journal	PROPN
cana-3300	320	2	of	of	ADP
cana-3300	320	3	the	the	DET
cana-3300	320	4	indian	indian	ADJ
cana-3300	320	5	society	society	NOUN
cana-3300	320	6	for	for	ADP
cana-3300	320	7	probability	probability	NOUN
cana-3300	320	8	and	and	CCONJ
cana-3300	320	9	statistics	statistic	NOUN
cana-3300	320	10	.	.	PUNCT
cana-3300	321	1	24	24	NUM
cana-3300	321	2	,	,	PUNCT
cana-3300	321	3	357	357	NUM
cana-3300	321	4	-	-	SYM
cana-3300	321	5	375	375	NUM
cana-3300	321	6	.	.	PUNCT
cana-3300	322	1	[	[	X
cana-3300	322	2	10	10	NUM
cana-3300	322	3	]	]	X
cana-3300	322	4	jha	jha	PROPN
cana-3300	322	5	,	,	PUNCT
cana-3300	322	6	s.k	s.k	PROPN
cana-3300	322	7	.	.	PROPN
cana-3300	322	8	singh	singh	PROPN
cana-3300	322	9	,	,	PUNCT
cana-3300	322	10	n.v	n.v	PROPN
cana-3300	322	11	.	.	PROPN
cana-3300	322	12	(	(	PUNCT
cana-3300	322	13	2021	2021	NUM
cana-3300	322	14	)	)	PUNCT
cana-3300	322	15	.	.	PUNCT
cana-3300	323	1	a	a	DET
cana-3300	323	2	skew	skew	ADJ
cana-3300	323	3	-	-	ADJ
cana-3300	323	4	normal	normal	ADJ
cana-3300	323	5	spatial	spatial	ADJ
cana-3300	323	6	simultaneous	simultaneous	ADJ
cana-3300	323	7	autoregressive	autoregressive	ADJ
cana-3300	323	8	model	model	NOUN
cana-3300	323	9	and	and	CCONJ
cana-3300	323	10	its	its	PRON
cana-3300	323	11	implementation	implementation	NOUN
cana-3300	323	12	.	.	PUNCT
cana-3300	324	1	sankhya	sankhya	VERB
cana-3300	324	2	a.	a.	NOUN
cana-3300	324	3	85(1	85(1	NOUN
cana-3300	324	4	)	)	PUNCT
cana-3300	324	5	,	,	PUNCT
cana-3300	324	6	306	306	NUM
cana-3300	324	7	-	-	SYM
cana-3300	324	8	323	323	NUM
cana-3300	324	9	.	.	PUNCT
cana-3300	325	1	https://doi.org/10.1007/s13171-021-00246-3	https://doi.org/10.1007/s13171-021-00246-3	NUM
cana-3300	325	2	.	.	PUNCT
cana-3300	326	1	[	[	X
cana-3300	326	2	11	11	NUM
cana-3300	326	3	]	]	X
cana-3300	326	4	lesage	lesage	NOUN
cana-3300	326	5	and	and	CCONJ
cana-3300	326	6	pace	pace	NOUN
cana-3300	326	7	.	.	PUNCT
cana-3300	327	1	(	(	PUNCT
cana-3300	327	2	2009	2009	NUM
cana-3300	327	3	)	)	PUNCT
cana-3300	327	4	.	.	PUNCT
cana-3300	328	1	introduction	introduction	NOUN
cana-3300	328	2	to	to	ADP
cana-3300	328	3	spatial	spatial	ADJ
cana-3300	328	4	econometrics	econometric	NOUN
cana-3300	328	5	.	.	PUNCT
cana-3300	329	1	statistics	statistic	NOUN
cana-3300	329	2	:	:	PUNCT
cana-3300	329	3	textbooks	textbook	NOUN
cana-3300	329	4	and	and	CCONJ
cana-3300	329	5	monographs	monograph	NOUN
cana-3300	329	6	.	.	PUNCT
cana-3300	330	1	https://www.researchgate.net/publication/339938974	https://www.researchgate.net/publication/339938974	ADJ
cana-3300	330	2	.	.	PUNCT
cana-3300	331	1	[	[	X
cana-3300	331	2	12	12	NUM
cana-3300	331	3	]	]	X
cana-3300	331	4	mur	mur	PROPN
cana-3300	331	5	,	,	PUNCT
cana-3300	331	6	j.	j.	PROPN
cana-3300	331	7	angulo	angulo	PROPN
cana-3300	331	8	,	,	PUNCT
cana-3300	331	9	a.m.	a.m.	PROPN
cana-3300	331	10	(	(	PUNCT
cana-3300	331	11	2006	2006	NUM
cana-3300	331	12	)	)	PUNCT
cana-3300	331	13	.	.	PUNCT
cana-3300	332	1	clues	clue	NOUN
cana-3300	332	2	for	for	ADP
cana-3300	332	3	discriminating	discriminate	VERB
cana-3300	332	4	between	between	ADP
cana-3300	332	5	moving	move	VERB
cana-3300	332	6	average	average	ADJ
cana-3300	332	7	and	and	CCONJ
cana-3300	332	8	autoregressive	autoregressive	ADJ
cana-3300	332	9	process	process	NOUN
cana-3300	332	10	in	in	ADP
cana-3300	332	11	spatial	spatial	ADJ
cana-3300	332	12	processes	process	NOUN
cana-3300	332	13	.	.	PUNCT
cana-3300	333	1	verlag	verlag	PROPN
cana-3300	333	2	springer	springer	NOUN
cana-3300	333	3	.	.	PUNCT
cana-3300	334	1	9	9	NUM
cana-3300	334	2	,	,	PUNCT
cana-3300	334	3	273	273	NUM
cana-3300	334	4	-	-	SYM
cana-3300	334	5	298	298	NUM
cana-3300	334	6	.	.	PUNCT
cana-3300	335	1	[	[	X
cana-3300	335	2	13	13	NUM
cana-3300	335	3	]	]	X
cana-3300	335	4	mullen	mullen	PROPN
cana-3300	335	5	,	,	PUNCT
cana-3300	335	6	k.	k.	PROPN
cana-3300	335	7	ardia	ardia	PROPN
cana-3300	335	8	,	,	PUNCT
cana-3300	335	9	d.	d.	PROPN
cana-3300	335	10	gil	gil	PROPN
cana-3300	335	11	,	,	PUNCT
cana-3300	335	12	d.	d.	PROPN
cana-3300	335	13	windover	windover	PROPN
cana-3300	335	14	,	,	PUNCT
cana-3300	335	15	d	d	PROPN
cana-3300	335	16	and	and	CCONJ
cana-3300	335	17	cline	cline	PROPN
cana-3300	335	18	,	,	PUNCT
cana-3300	335	19	j.	j.	PROPN
cana-3300	335	20	(	(	PUNCT
cana-3300	335	21	2011	2011	NUM
cana-3300	335	22	)	)	PUNCT
cana-3300	335	23	.	.	PUNCT
cana-3300	336	1	'	'	PUNCT
cana-3300	336	2	deoptim	deoptim	ADJ
cana-3300	336	3	'	'	PUNCT
cana-3300	336	4	:	:	PUNCT
cana-3300	336	5	an	an	DET
cana-3300	336	6	r	r	NOUN
cana-3300	336	7	package	package	NOUN
cana-3300	336	8	for	for	ADP
cana-3300	336	9	global	global	ADJ
cana-3300	336	10	optimization	optimization	NOUN
cana-3300	336	11	by	by	ADP
cana-3300	336	12	differential	differential	ADJ
cana-3300	336	13	evolution	evolution	NOUN
cana-3300	336	14	.	.	PUNCT
cana-3300	337	1	journal	journal	NOUN
cana-3300	337	2	of	of	ADP
cana-3300	337	3	statistical	statistical	ADJ
cana-3300	337	4	software	software	NOUN
cana-3300	337	5	.	.	PUNCT
cana-3300	338	1	40(6	40(6	NOUN
cana-3300	338	2	)	)	PUNCT
cana-3300	338	3	,	,	PUNCT
cana-3300	338	4	1	1	NUM
cana-3300	338	5	-	-	SYM
cana-3300	338	6	26	26	NUM
cana-3300	338	7	.	.	PUNCT
cana-3300	339	1	https://doi.org/10.18637/jss.v040.i06	https://doi.org/10.18637/jss.v040.i06	X
cana-3300	339	2	.	.	PUNCT
cana-3300	340	1	[	[	X
cana-3300	340	2	14	14	NUM
cana-3300	340	3	]	]	X
cana-3300	340	4	storn	storn	ADJ
cana-3300	340	5	,	,	PUNCT
cana-3300	340	6	r.	r.	PROPN
cana-3300	340	7	price	price	PROPN
cana-3300	340	8	,	,	PUNCT
cana-3300	340	9	k.	k.	PROPN
cana-3300	340	10	(	(	PUNCT
cana-3300	340	11	1997	1997	NUM
cana-3300	340	12	)	)	PUNCT
cana-3300	340	13	.	.	PUNCT
cana-3300	341	1	differential	differential	PROPN
cana-3300	341	2	evolutiona	evolutiona	PROPN
cana-3300	341	3	simple	simple	ADJ
cana-3300	341	4	and	and	CCONJ
cana-3300	341	5	efficient	efficient	ADJ
cana-3300	341	6	heuristic	heuristic	NOUN
cana-3300	341	7	for	for	ADP
cana-3300	341	8	global	global	ADJ
cana-3300	341	9	optimization	optimization	NOUN
cana-3300	341	10	over	over	ADP
cana-3300	341	11	continuous	continuous	ADJ
cana-3300	341	12	spaces	space	NOUN
cana-3300	341	13	.	.	PUNCT
cana-3300	342	1	journal	journal	NOUN
cana-3300	342	2	of	of	ADP
cana-3300	342	3	global	global	ADJ
cana-3300	342	4	optimization	optimization	NOUN
cana-3300	342	5	.	.	PUNCT
cana-3300	343	1	11	11	NUM
cana-3300	343	2	,	,	PUNCT
cana-3300	343	3	341	341	NUM
cana-3300	343	4	-	-	SYM
cana-3300	343	5	359	359	NUM
cana-3300	343	6	.	.	PUNCT
cana-3300	344	1	[	[	X
cana-3300	344	2	15	15	NUM
cana-3300	344	3	]	]	X
cana-3300	344	4	whittle	whittle	NOUN
cana-3300	344	5	p.	p.	NOUN
cana-3300	344	6	(	(	PUNCT
cana-3300	344	7	1954	1954	NUM
cana-3300	344	8	)	)	PUNCT
cana-3300	344	9	.	.	PUNCT
cana-3300	345	1	on	on	ADP
cana-3300	345	2	stationary	stationary	ADJ
cana-3300	345	3	process	process	NOUN
cana-3300	345	4	in	in	ADP
cana-3300	345	5	the	the	DET
cana-3300	345	6	plane	plane	NOUN
cana-3300	345	7	.	.	PUNCT
cana-3300	345	8	biometrika	biometrika	NOUN
cana-3300	345	9	.	.	PUNCT
cana-3300	345	10	41	41	NUM
cana-3300	345	11	,	,	PUNCT
cana-3300	345	12	434	434	NUM
cana-3300	345	13	-	-	SYM
cana-3300	345	14	449	449	NUM
cana-3300	345	15	.	.	PUNCT
cana-3300	346	1	[	[	X
cana-3300	346	2	16	16	NUM
cana-3300	346	3	]	]	X
cana-3300	346	4	wall	wall	PROPN
cana-3300	346	5	,	,	PUNCT
cana-3300	346	6	m.m	m.m	PROPN
cana-3300	346	7	.	.	PROPN
cana-3300	346	8	(	(	PUNCT
cana-3300	346	9	2004	2004	NUM
cana-3300	346	10	)	)	PUNCT
cana-3300	346	11	.	.	PUNCT
cana-3300	347	1	a	a	DET
cana-3300	347	2	close	close	ADJ
cana-3300	347	3	look	look	NOUN
cana-3300	347	4	at	at	ADP
cana-3300	347	5	the	the	DET
cana-3300	347	6	spatial	spatial	ADJ
cana-3300	347	7	structure	structure	NOUN
cana-3300	347	8	implied	imply	VERB
cana-3300	347	9	by	by	ADP
cana-3300	347	10	the	the	DET
cana-3300	347	11	car	car	NOUN
cana-3300	347	12	and	and	CCONJ
cana-3300	347	13	sar	sar	PROPN
cana-3300	347	14	models	model	NOUN
cana-3300	347	15	.	.	PUNCT
cana-3300	348	1	journal	journal	NOUN
cana-3300	348	2	of	of	ADP
cana-3300	348	3	statistical	statistical	ADJ
cana-3300	348	4	planning	planning	NOUN
cana-3300	348	5	and	and	CCONJ
cana-3300	348	6	inference	inference	NOUN
cana-3300	348	7	.	.	PUNCT
cana-3300	349	1	121	121	NUM
cana-3300	349	2	,	,	PUNCT
cana-3300	349	3	311	311	NUM
cana-3300	349	4	-	-	SYM
cana-3300	349	5	324	324	NUM
cana-3300	349	6	.	.	PUNCT
cana-3300	350	1	https://doi.org/10.1007/s11749-018-0599-x	https://doi.org/10.1007/s11749-018-0599-x	NOUN
cana-3300	350	2	https://cran.r-project.org/package=spdata	https://cran.r-project.org/package=spdata	NOUN
cana-3300	350	3	http://www.ggy.bris.ac.uk/personal/leshepple/bayesian.pdf	http://www.ggy.bris.ac.uk/personal/leshepple/bayesian.pdf	X
cana-3300	350	4	https://doi.org/10.1007/s13171-021-00246-3	https://doi.org/10.1007/s13171-021-00246-3	NUM
cana-3300	350	5	https://www.researchgate.net/publication/339938974	https://www.researchgate.net/publication/339938974	NUM
cana-3300	350	6	https://doi.org/10.18637/jss.v040.i06	https://doi.org/10.18637/jss.v040.i06	NOUN