id	sid	tid	token	lemma	pos
cuesj-577	1	1	tx_1	tx_1	PROPN
cuesj-577	1	2	~	~	X
cuesj-577	1	3	abs	ab	NOUN
cuesj-577	1	4	:	:	PUNCT
cuesj-577	1	5	at	at	ADP
cuesj-577	1	6	/	/	SYM
cuesj-577	1	7	add	add	VERB
cuesj-577	1	8	:	:	PUNCT
cuesj-577	1	9	tx_2	tx_2	PROPN
cuesj-577	1	10	~	~	NOUN
cuesj-577	1	11	abs	ab	NOUN
cuesj-577	1	12	:	:	PUNCT
cuesj-577	1	13	at	at	ADP
cuesj-577	1	14	32	32	NUM
cuesj-577	1	15	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-577	1	16	cuesj	cuesj	ADJ
cuesj-577	1	17	2022	2022	NUM
cuesj-577	1	18	,	,	PUNCT
cuesj-577	1	19	6	6	NUM
cuesj-577	1	20	(	(	PUNCT
cuesj-577	1	21	1	1	NUM
cuesj-577	1	22	):	):	PUNCT
cuesj-577	1	23	32	32	NUM
cuesj-577	1	24	-	-	SYM
cuesj-577	1	25	46	46	NUM
cuesj-577	1	26	research	research	NOUN
cuesj-577	1	27	article	article	NOUN
cuesj-577	1	28	comparison	comparison	NOUN
cuesj-577	1	29	of	of	ADP
cuesj-577	1	30	time	time	NOUN
cuesj-577	1	31	series	series	NOUN
cuesj-577	1	32	models	model	NOUN
cuesj-577	1	33	before	before	ADP
cuesj-577	1	34	and	and	CCONJ
cuesj-577	1	35	after	after	ADP
cuesj-577	1	36	using	use	VERB
cuesj-577	1	37	wavelet	wavelet	NOUN
cuesj-577	1	38	shrinkage	shrinkage	NOUN
cuesj-577	1	39	filtering	filter	VERB
cuesj-577	1	40	to	to	PART
cuesj-577	1	41	forecast	forecast	VERB
cuesj-577	1	42	the	the	DET
cuesj-577	1	43	amount	amount	NOUN
cuesj-577	1	44	of	of	ADP
cuesj-577	1	45	natural	natural	ADJ
cuesj-577	1	46	gas	gas	NOUN
cuesj-577	1	47	in	in	ADP
cuesj-577	1	48	iraq	iraq	PROPN
cuesj-577	1	49	mohammad	mohammad	PROPN
cuesj-577	1	50	m.	m.	PROPN
cuesj-577	1	51	faqe	faqe	PROPN
cuesj-577	1	52	hussein	hussein	PROPN
cuesj-577	1	53	department	department	PROPN
cuesj-577	1	54	of	of	ADP
cuesj-577	1	55	statistics	statistic	NOUN
cuesj-577	1	56	and	and	CCONJ
cuesj-577	1	57	informatics	informatic	NOUN
cuesj-577	1	58	,	,	PUNCT
cuesj-577	1	59	college	college	NOUN
cuesj-577	1	60	of	of	ADP
cuesj-577	1	61	administration	administration	NOUN
cuesj-577	1	62	and	and	CCONJ
cuesj-577	1	63	economics	economic	NOUN
cuesj-577	1	64	,	,	PUNCT
cuesj-577	1	65	university	university	NOUN
cuesj-577	1	66	of	of	ADP
cuesj-577	1	67	sulaimani	sulaimani	PROPN
cuesj-577	1	68	,	,	PUNCT
cuesj-577	1	69	iraq	iraq	PROPN
cuesj-577	1	70	abstract	abstract	VERB
cuesj-577	1	71	the	the	DET
cuesj-577	1	72	procedure	procedure	NOUN
cuesj-577	1	73	of	of	ADP
cuesj-577	1	74	reducing	reduce	VERB
cuesj-577	1	75	noise	noise	NOUN
cuesj-577	1	76	before	before	ADP
cuesj-577	1	77	analyzing	analyze	VERB
cuesj-577	1	78	the	the	DET
cuesj-577	1	79	time	time	NOUN
cuesj-577	1	80	series	series	NOUN
cuesj-577	1	81	is	be	AUX
cuesj-577	1	82	important	important	ADJ
cuesj-577	1	83	to	to	PART
cuesj-577	1	84	get	get	VERB
cuesj-577	1	85	accurate	accurate	ADJ
cuesj-577	1	86	outcomes	outcome	NOUN
cuesj-577	1	87	when	when	SCONJ
cuesj-577	1	88	building	building	NOUN
cuesj-577	1	89	models	model	NOUN
cuesj-577	1	90	.	.	PUNCT
cuesj-577	2	1	wavelet	wavelet	NOUN
cuesj-577	2	2	shrinkage	shrinkage	PROPN
cuesj-577	2	3	,	,	PUNCT
cuesj-577	2	4	consisting	consist	VERB
cuesj-577	2	5	of	of	ADP
cuesj-577	2	6	thresholded	thresholde	VERB
cuesj-577	2	7	wavelets	wavelet	NOUN
cuesj-577	2	8	,	,	PUNCT
cuesj-577	2	9	is	be	AUX
cuesj-577	2	10	a	a	DET
cuesj-577	2	11	powerful	powerful	ADJ
cuesj-577	2	12	mathematical	mathematical	ADJ
cuesj-577	2	13	technique	technique	NOUN
cuesj-577	2	14	for	for	ADP
cuesj-577	2	15	reducing	reduce	VERB
cuesj-577	2	16	the	the	DET
cuesj-577	2	17	amount	amount	NOUN
cuesj-577	2	18	of	of	ADP
cuesj-577	2	19	noise	noise	NOUN
cuesj-577	2	20	that	that	PRON
cuesj-577	2	21	can	can	AUX
cuesj-577	2	22	be	be	AUX
cuesj-577	2	23	exposed	expose	VERB
cuesj-577	2	24	.	.	PUNCT
cuesj-577	3	1	it	it	PRON
cuesj-577	3	2	has	have	VERB
cuesj-577	3	3	time	time	NOUN
cuesj-577	3	4	series	series	NOUN
cuesj-577	3	5	observations	observation	NOUN
cuesj-577	3	6	and	and	CCONJ
cuesj-577	3	7	selects	select	VERB
cuesj-577	3	8	the	the	DET
cuesj-577	3	9	cutoff	cutoff	NOUN
cuesj-577	3	10	threshold	threshold	NOUN
cuesj-577	3	11	appropriate	appropriate	ADJ
cuesj-577	3	12	for	for	ADP
cuesj-577	3	13	removing	remove	VERB
cuesj-577	3	14	most	most	ADJ
cuesj-577	3	15	of	of	ADP
cuesj-577	3	16	the	the	DET
cuesj-577	3	17	noise	noise	NOUN
cuesj-577	3	18	.	.	PUNCT
cuesj-577	4	1	this	this	DET
cuesj-577	4	2	paper	paper	NOUN
cuesj-577	4	3	used	use	VERB
cuesj-577	4	4	data	datum	NOUN
cuesj-577	4	5	on	on	ADP
cuesj-577	4	6	natural	natural	ADJ
cuesj-577	4	7	gas	gas	NOUN
cuesj-577	4	8	production	production	NOUN
cuesj-577	4	9	in	in	ADP
cuesj-577	4	10	iraq	iraq	PROPN
cuesj-577	4	11	during	during	ADP
cuesj-577	4	12	(	(	PUNCT
cuesj-577	4	13	1981–2019	1981–2019	NUM
cuesj-577	4	14	)	)	PUNCT
cuesj-577	4	15	that	that	PRON
cuesj-577	4	16	contained	contain	VERB
cuesj-577	4	17	non	non	ADJ
cuesj-577	4	18	-	-	ADJ
cuesj-577	4	19	stationary	stationary	ADJ
cuesj-577	4	20	data	datum	NOUN
cuesj-577	4	21	,	,	PUNCT
cuesj-577	4	22	so	so	SCONJ
cuesj-577	4	23	the	the	DET
cuesj-577	4	24	researcher	researcher	NOUN
cuesj-577	4	25	must	must	AUX
cuesj-577	4	26	treat	treat	VERB
cuesj-577	4	27	this	this	DET
cuesj-577	4	28	problem	problem	NOUN
cuesj-577	4	29	before	before	ADP
cuesj-577	4	30	starting	start	VERB
cuesj-577	4	31	the	the	DET
cuesj-577	4	32	analysis	analysis	NOUN
cuesj-577	4	33	.	.	PUNCT
cuesj-577	5	1	therefore	therefore	ADV
cuesj-577	5	2	,	,	PUNCT
cuesj-577	5	3	the	the	DET
cuesj-577	5	4	researcher	researcher	NOUN
cuesj-577	5	5	selected	select	VERB
cuesj-577	5	6	the	the	DET
cuesj-577	5	7	model	model	NOUN
cuesj-577	5	8	of	of	ADP
cuesj-577	5	9	time	time	NOUN
cuesj-577	5	10	series	series	NOUN
cuesj-577	5	11	analysis	analysis	NOUN
cuesj-577	5	12	using	use	VERB
cuesj-577	5	13	box	box	NOUN
cuesj-577	5	14	–	–	PUNCT
cuesj-577	5	15	jenkins	jenkins	PROPN
cuesj-577	5	16	models	model	NOUN
cuesj-577	5	17	(	(	PUNCT
cuesj-577	5	18	arima	arima	PROPN
cuesj-577	5	19	(	(	PUNCT
cuesj-577	5	20	p	p	X
cuesj-577	5	21	,	,	PUNCT
cuesj-577	5	22	d	d	NOUN
cuesj-577	5	23	,	,	PUNCT
cuesj-577	5	24	q	q	NOUN
cuesj-577	5	25	)	)	PUNCT
cuesj-577	5	26	models	model	NOUN
cuesj-577	5	27	)	)	PUNCT
cuesj-577	5	28	and	and	CCONJ
cuesj-577	5	29	the	the	DET
cuesj-577	5	30	method	method	NOUN
cuesj-577	5	31	of	of	ADP
cuesj-577	5	32	wavelet	wavelet	NOUN
cuesj-577	5	33	shrinkage	shrinkage	NOUN
cuesj-577	5	34	and	and	CCONJ
cuesj-577	5	35	the	the	DET
cuesj-577	5	36	comparison	comparison	NOUN
cuesj-577	5	37	between	between	ADP
cuesj-577	5	38	them	they	PRON
cuesj-577	5	39	based	base	VERB
cuesj-577	5	40	on	on	ADP
cuesj-577	5	41	some	some	DET
cuesj-577	5	42	statistical	statistical	ADJ
cuesj-577	5	43	criteria	criterion	NOUN
cuesj-577	5	44	including	include	VERB
cuesj-577	5	45	the	the	DET
cuesj-577	5	46	akaike	akaike	ADJ
cuesj-577	5	47	information	information	NOUN
cuesj-577	5	48	criterion	criterion	NOUN
cuesj-577	5	49	,	,	PUNCT
cuesj-577	5	50	schwarz	schwarz	PROPN
cuesj-577	5	51	bayesian	bayesian	NOUN
cuesj-577	5	52	information	information	NOUN
cuesj-577	5	53	criterion	criterion	NOUN
cuesj-577	5	54	,	,	PUNCT
cuesj-577	5	55	bayesian	bayesian	NOUN
cuesj-577	5	56	information	information	NOUN
cuesj-577	5	57	criterion	criterion	NOUN
cuesj-577	5	58	,	,	PUNCT
cuesj-577	5	59	and	and	CCONJ
cuesj-577	5	60	hannan	hannan	PROPN
cuesj-577	5	61	–	–	PUNCT
cuesj-577	5	62	quinn	quinn	NOUN
cuesj-577	5	63	information	information	NOUN
cuesj-577	5	64	criterion	criterion	NOUN
cuesj-577	5	65	.	.	PUNCT
cuesj-577	6	1	statistical	statistical	ADJ
cuesj-577	6	2	programs	program	NOUN
cuesj-577	6	3	such	such	ADJ
cuesj-577	6	4	as	as	ADP
cuesj-577	6	5	statgraphics	statgraphic	NOUN
cuesj-577	6	6	xvii	xvii	PROPN
cuesj-577	6	7	-	-	PUNCT
cuesj-577	6	8	x64	x64	PROPN
cuesj-577	6	9	and	and	CCONJ
cuesj-577	6	10	matlab	matlab	PROPN
cuesj-577	6	11	were	be	AUX
cuesj-577	6	12	used	use	VERB
cuesj-577	6	13	to	to	PART
cuesj-577	6	14	analyze	analyze	VERB
cuesj-577	6	15	the	the	DET
cuesj-577	6	16	data	datum	NOUN
cuesj-577	6	17	.	.	PUNCT
cuesj-577	7	1	the	the	DET
cuesj-577	7	2	paper	paper	NOUN
cuesj-577	7	3	reached	reach	VERB
cuesj-577	7	4	the	the	DET
cuesj-577	7	5	efficiency	efficiency	NOUN
cuesj-577	7	6	of	of	ADP
cuesj-577	7	7	wavelet	wavelet	NOUN
cuesj-577	7	8	shrinkage	shrinkage	NOUN
cuesj-577	7	9	filtering	filter	VERB
cuesj-577	7	10	in	in	ADP
cuesj-577	7	11	treating	treat	VERB
cuesj-577	7	12	the	the	DET
cuesj-577	7	13	noise	noise	NOUN
cuesj-577	7	14	problem	problem	NOUN
cuesj-577	7	15	and	and	CCONJ
cuesj-577	7	16	obtaining	obtain	VERB
cuesj-577	7	17	efficient	efficient	ADJ
cuesj-577	7	18	estimated	estimate	VERB
cuesj-577	7	19	models	model	NOUN
cuesj-577	7	20	,	,	PUNCT
cuesj-577	7	21	in	in	ADP
cuesj-577	7	22	particular	particular	ADJ
cuesj-577	7	23	the	the	DET
cuesj-577	7	24	wavelet	wavelet	NOUN
cuesj-577	7	25	shrinkage	shrinkage	NOUN
cuesj-577	7	26	filter	filter	NOUN
cuesj-577	7	27	(	(	PUNCT
cuesj-577	7	28	daubechies	daubechie	NOUN
cuesj-577	7	29	(	(	PUNCT
cuesj-577	7	30	db8	db8	PROPN
cuesj-577	7	31	)	)	PUNCT
cuesj-577	7	32	)	)	PUNCT
cuesj-577	7	33	with	with	ADP
cuesj-577	7	34	a	a	DET
cuesj-577	7	35	soft	soft	ADJ
cuesj-577	7	36	threshold	threshold	NOUN
cuesj-577	7	37	estimated	estimate	VERB
cuesj-577	7	38	by	by	ADP
cuesj-577	7	39	the	the	DET
cuesj-577	7	40	fixed	fix	VERB
cuesj-577	7	41	-	-	PUNCT
cuesj-577	7	42	form	form	NOUN
cuesj-577	7	43	method	method	NOUN
cuesj-577	7	44	and	and	CCONJ
cuesj-577	7	45	the	the	DET
cuesj-577	7	46	possibility	possibility	NOUN
cuesj-577	7	47	of	of	ADP
cuesj-577	7	48	linear	linear	PROPN
cuesj-577	7	49	models	model	NOUN
cuesj-577	7	50	with	with	ADP
cuesj-577	7	51	lower	low	ADJ
cuesj-577	7	52	one	one	NUM
cuesj-577	7	53	orders	order	NOUN
cuesj-577	7	54	and	and	CCONJ
cuesj-577	7	55	higher	high	ADJ
cuesj-577	7	56	efficiency	efficiency	NOUN
cuesj-577	7	57	for	for	ADP
cuesj-577	7	58	the	the	DET
cuesj-577	7	59	obtained	obtain	VERB
cuesj-577	7	60	filtered	filter	VERB
cuesj-577	7	61	observations	observation	NOUN
cuesj-577	7	62	compared	compare	VERB
cuesj-577	7	63	to	to	ADP
cuesj-577	7	64	the	the	DET
cuesj-577	7	65	corresponding	correspond	VERB
cuesj-577	7	66	models	model	NOUN
cuesj-577	7	67	estimated	estimate	VERB
cuesj-577	7	68	from	from	ADP
cuesj-577	7	69	the	the	DET
cuesj-577	7	70	original	original	ADJ
cuesj-577	7	71	observations	observation	NOUN
cuesj-577	7	72	,	,	PUNCT
cuesj-577	7	73	that	that	ADV
cuesj-577	7	74	is	is	ADV
cuesj-577	7	75	,	,	PUNCT
cuesj-577	7	76	the	the	DET
cuesj-577	7	77	suitable	suitable	ADJ
cuesj-577	7	78	model	model	NOUN
cuesj-577	7	79	for	for	ADP
cuesj-577	7	80	the	the	DET
cuesj-577	7	81	data	data	NOUN
cuesj-577	7	82	is	be	AUX
cuesj-577	7	83	a	a	DET
cuesj-577	7	84	model	model	NOUN
cuesj-577	7	85	arima	arima	NOUN
cuesj-577	7	86	(	(	PUNCT
cuesj-577	7	87	0,1,1	0,1,1	NUM
cuesj-577	7	88	)	)	PUNCT
cuesj-577	7	89	for	for	ADP
cuesj-577	7	90	the	the	DET
cuesj-577	7	91	data	datum	NOUN
cuesj-577	7	92	paved	pave	VERB
cuesj-577	7	93	in	in	ADP
cuesj-577	7	94	a	a	DET
cuesj-577	7	95	daubechies	daubechie	NOUN
cuesj-577	7	96	method	method	VERB
cuesj-577	7	97	,	,	PUNCT
cuesj-577	7	98	it	it	PRON
cuesj-577	7	99	is	be	AUX
cuesj-577	7	100	preferable	preferable	ADJ
cuesj-577	7	101	to	to	PART
cuesj-577	7	102	do	do	VERB
cuesj-577	7	103	the	the	DET
cuesj-577	7	104	waveform	waveform	VERB
cuesj-577	7	105	analysis	analysis	NOUN
cuesj-577	7	106	of	of	ADP
cuesj-577	7	107	the	the	DET
cuesj-577	7	108	data	datum	NOUN
cuesj-577	7	109	before	before	ADP
cuesj-577	7	110	analyzing	analyze	VERB
cuesj-577	7	111	the	the	DET
cuesj-577	7	112	time	time	NOUN
cuesj-577	7	113	series	series	NOUN
cuesj-577	7	114	concerning	concern	VERB
cuesj-577	7	115	the	the	DET
cuesj-577	7	116	observations	observation	NOUN
cuesj-577	7	117	of	of	ADP
cuesj-577	7	118	natural	natural	ADJ
cuesj-577	7	119	gas	gas	NOUN
cuesj-577	7	120	production	production	NOUN
cuesj-577	7	121	in	in	ADP
cuesj-577	7	122	iraq	iraq	PROPN
cuesj-577	7	123	.	.	PUNCT
cuesj-577	8	1	the	the	DET
cuesj-577	8	2	preference	preference	NOUN
cuesj-577	8	3	was	be	AUX
cuesj-577	8	4	given	give	VERB
cuesj-577	8	5	to	to	ADP
cuesj-577	8	6	the	the	DET
cuesj-577	8	7	model	model	NOUN
cuesj-577	8	8	estimated	estimate	VERB
cuesj-577	8	9	by	by	ADP
cuesj-577	8	10	box	box	PROPN
cuesj-577	8	11	and	and	CCONJ
cuesj-577	8	12	jenkins	jenkins	PROPN
cuesj-577	8	13	arima	arima	PROPN
cuesj-577	8	14	(	(	PUNCT
cuesj-577	8	15	0,1,1	0,1,1	NUM
cuesj-577	8	16	)	)	PUNCT
cuesj-577	8	17	model	model	NOUN
cuesj-577	8	18	using	use	VERB
cuesj-577	8	19	wavelet	wavelet	NOUN
cuesj-577	8	20	shrinkage	shrinkage	NOUN
cuesj-577	8	21	daubechies	daubechie	NOUN
cuesj-577	8	22	(	(	PUNCT
cuesj-577	8	23	db8	db8	PROPN
cuesj-577	8	24	)	)	PUNCT
cuesj-577	8	25	wavelet	wavelet	NOUN
cuesj-577	8	26	reduction	reduction	NOUN
cuesj-577	8	27	.	.	PUNCT
cuesj-577	9	1	keywords	keyword	NOUN
cuesj-577	9	2	:	:	PUNCT
cuesj-577	9	3	time	time	NOUN
cuesj-577	9	4	series	series	PROPN
cuesj-577	9	5	,	,	PUNCT
cuesj-577	9	6	arima	arima	PROPN
cuesj-577	9	7	,	,	PUNCT
cuesj-577	9	8	acf	acf	PROPN
cuesj-577	9	9	,	,	PUNCT
cuesj-577	9	10	pacf	pacf	NOUN
cuesj-577	9	11	,	,	PUNCT
cuesj-577	9	12	wavelets	wavelet	NOUN
cuesj-577	9	13	,	,	PUNCT
cuesj-577	9	14	akaike	akaike	ADJ
cuesj-577	9	15	information	information	NOUN
cuesj-577	9	16	criterion	criterion	NOUN
cuesj-577	9	17	,	,	PUNCT
cuesj-577	9	18	schwarz	schwarz	PROPN
cuesj-577	9	19	bayesian	bayesian	NOUN
cuesj-577	9	20	information	information	NOUN
cuesj-577	9	21	criterion	criterion	NOUN
cuesj-577	9	22	,	,	PUNCT
cuesj-577	9	23	hqc	hqc	PROPN
cuesj-577	9	24	methodology	methodology	NOUN
cuesj-577	9	25	time	time	NOUN
cuesj-577	9	26	series	series	PROPN
cuesj-577	9	27	the	the	DET
cuesj-577	9	28	time	time	NOUN
cuesj-577	9	29	series	series	PROPN
cuesj-577	9	30	is	be	AUX
cuesj-577	9	31	a	a	DET
cuesj-577	9	32	random	random	ADJ
cuesj-577	9	33	process	process	NOUN
cuesj-577	9	34	of	of	ADP
cuesj-577	9	35	random	random	ADJ
cuesj-577	9	36	variable	variable	NOUN
cuesj-577	9	37	x	x	PUNCT
cuesj-577	9	38	indexed	index	VERB
cuesj-577	9	39	by	by	ADP
cuesj-577	9	40	time	time	NOUN
cuesj-577	9	41	(	(	PUNCT
cuesj-577	9	42	t	t	NOUN
cuesj-577	9	43	)	)	PUNCT
cuesj-577	9	44	.	.	PUNCT
cuesj-577	10	1	x(t	x(t	PROPN
cuesj-577	10	2	)	)	PUNCT
cuesj-577	10	3	is	be	AUX
cuesj-577	10	4	a	a	DET
cuesj-577	10	5	symbol	symbol	NOUN
cuesj-577	10	6	used	use	VERB
cuesj-577	10	7	for	for	ADP
cuesj-577	10	8	discrete	discrete	ADJ
cuesj-577	10	9	parameter	parameter	NOUN
cuesj-577	10	10	processes	process	NOUN
cuesj-577	10	11	(	(	PUNCT
cuesj-577	10	12	d.p.p	d.p.p	NOUN
cuesj-577	10	13	.	.	PUNCT
cuesj-577	10	14	)	)	PUNCT
cuesj-577	10	15	and	and	CCONJ
cuesj-577	10	16	x(t	x(t	PROPN
cuesj-577	10	17	)	)	PUNCT
cuesj-577	10	18	is	be	AUX
cuesj-577	10	19	a	a	DET
cuesj-577	10	20	symbol	symbol	NOUN
cuesj-577	10	21	for	for	ADP
cuesj-577	10	22	continuous	continuous	ADJ
cuesj-577	10	23	parameter	parameter	NOUN
cuesj-577	10	24	processes	process	NOUN
cuesj-577	10	25	(	(	PUNCT
cuesj-577	10	26	c.p.p	c.p.p	ADJ
cuesj-577	10	27	)	)	PUNCT
cuesj-577	10	28	.	.	PUNCT
cuesj-577	11	1	in	in	ADP
cuesj-577	11	2	this	this	DET
cuesj-577	11	3	paper	paper	NOUN
cuesj-577	11	4	,	,	PUNCT
cuesj-577	11	5	we	we	PRON
cuesj-577	11	6	are	be	AUX
cuesj-577	11	7	discussing	discuss	VERB
cuesj-577	11	8	the	the	DET
cuesj-577	11	9	discrete	discrete	ADJ
cuesj-577	11	10	parameter	parameter	NOUN
cuesj-577	11	11	process	process	NOUN
cuesj-577	11	12	of	of	ADP
cuesj-577	11	13	time	time	NOUN
cuesj-577	11	14	series.[1,2	series.[1,2	PROPN
cuesj-577	11	15	]	]	PUNCT
cuesj-577	11	16	box	box	PROPN
cuesj-577	11	17	–	–	PUNCT
cuesj-577	11	18	jenkins	jenkins	PROPN
cuesj-577	11	19	model	model	VERB
cuesj-577	11	20	the	the	DET
cuesj-577	11	21	arima	arima	PROPN
cuesj-577	11	22	(	(	PUNCT
cuesj-577	11	23	p	p	X
cuesj-577	11	24	,	,	PUNCT
cuesj-577	11	25	d	d	NOUN
cuesj-577	11	26	,	,	PUNCT
cuesj-577	11	27	q	q	NOUN
cuesj-577	11	28	)	)	PUNCT
cuesj-577	11	29	model	model	NOUN
cuesj-577	11	30	is	be	AUX
cuesj-577	11	31	used	use	VERB
cuesj-577	11	32	to	to	PART
cuesj-577	11	33	forecast	forecast	VERB
cuesj-577	11	34	time	time	NOUN
cuesj-577	11	35	series	series	NOUN
cuesj-577	11	36	;	;	PUNCT
cuesj-577	11	37	this	this	DET
cuesj-577	11	38	model	model	NOUN
cuesj-577	11	39	depends	depend	VERB
cuesj-577	11	40	on	on	ADP
cuesj-577	11	41	previous	previous	ADJ
cuesj-577	11	42	data	datum	NOUN
cuesj-577	11	43	to	to	PART
cuesj-577	11	44	supply	supply	VERB
cuesj-577	11	45	predicting	predict	VERB
cuesj-577	11	46	indexes	index	NOUN
cuesj-577	11	47	.	.	PUNCT
cuesj-577	12	1	the	the	DET
cuesj-577	12	2	arima	arima	PROPN
cuesj-577	12	3	(	(	PUNCT
cuesj-577	12	4	p	p	X
cuesj-577	12	5	,	,	PUNCT
cuesj-577	12	6	d	d	NOUN
cuesj-577	12	7	,	,	PUNCT
cuesj-577	12	8	q	q	NOUN
cuesj-577	12	9	)	)	PUNCT
cuesj-577	12	10	model	model	NOUN
cuesj-577	12	11	has	have	AUX
cuesj-577	12	12	autoregressive	autoregressive	ADJ
cuesj-577	12	13	and	and	CCONJ
cuesj-577	12	14	moving	move	VERB
cuesj-577	12	15	average	average	ADJ
cuesj-577	12	16	.	.	PUNCT
cuesj-577	13	1	with	with	ADP
cuesj-577	13	2	p	p	PROPN
cuesj-577	13	3	is	be	AUX
cuesj-577	13	4	the	the	DET
cuesj-577	13	5	#	#	NOUN
cuesj-577	13	6	of	of	ADP
cuesj-577	13	7	ar	ar	NOUN
cuesj-577	13	8	terms	term	NOUN
cuesj-577	13	9	,	,	PUNCT
cuesj-577	13	10	d	d	PRON
cuesj-577	13	11	is	be	AUX
cuesj-577	13	12	the	the	DET
cuesj-577	13	13	#	#	NOUN
cuesj-577	13	14	of	of	ADP
cuesj-577	13	15	differences	difference	NOUN
cuesj-577	13	16	non	non	ADJ
cuesj-577	13	17	-	-	ADJ
cuesj-577	13	18	seasonal	seasonal	ADJ
cuesj-577	13	19	,	,	PUNCT
cuesj-577	13	20	and	and	CCONJ
cuesj-577	13	21	q	q	NOUN
cuesj-577	13	22	is	be	AUX
cuesj-577	13	23	the	the	DET
cuesj-577	13	24	#	#	NOUN
cuesj-577	13	25	of	of	ADP
cuesj-577	13	26	ma	ma	PROPN
cuesj-577	13	27	.	.	PUNCT
cuesj-577	14	1	the	the	DET
cuesj-577	14	2	general	general	ADJ
cuesj-577	14	3	equation	equation	NOUN
cuesj-577	14	4	of	of	ADP
cuesj-577	14	5	the	the	DET
cuesj-577	14	6	model	model	NOUN
cuesj-577	14	7	is	be	AUX
cuesj-577	14	8	:	:	PUNCT
cuesj-577	14	9	[	[	X
cuesj-577	14	10	3	3	NUM
cuesj-577	14	11	-	-	SYM
cuesj-577	14	12	6	6	NUM
cuesj-577	14	13	]	]	PUNCT
cuesj-577	14	14	a=	a=	X
cuesj-577	14	15	α+	α+	X
cuesj-577	14	16	∅1zt−1	∅1zt−1	NOUN
cuesj-577	14	17	+	+	CCONJ
cuesj-577	14	18	∅2zt−2+.	∅2zt−2+.	PROPN
cuesj-577	14	19	…	…	SYM
cuesj-577	14	20	.+	.+	NOUN
cuesj-577	14	21	∅tzt−q	∅tzt−q	NUM
cuesj-577	14	22	:	:	PUNCT
cuesj-577	14	23	b=	b=	NOUN
cuesj-577	14	24	θ1εt−1−	θ1εt−1−	ADP
cuesj-577	14	25	θ2εt−2−.	θ2εt−2−.	PROPN
cuesj-577	14	26	…	…	PROPN
cuesj-577	14	27	.−	.−	PROPN
cuesj-577	15	1	θqεt−q	θqεt−q	NUM
cuesj-577	15	2	zt=	zt=	PROPN
cuesj-577	15	3	a−	a−	PROPN
cuesj-577	15	4	b+	b+	X
cuesj-577	15	5	ε	ε	PROPN
cuesj-577	15	6	(	(	PUNCT
cuesj-577	15	7	1	1	NUM
cuesj-577	15	8	)	)	PUNCT
cuesj-577	15	9	with	with	ADP
cuesj-577	15	10	∅	∅	NOUN
cuesj-577	15	11	is	be	AUX
cuesj-577	15	12	ar	ar	NOUN
cuesj-577	15	13	parameter	parameter	NOUN
cuesj-577	15	14	,	,	PUNCT
cuesj-577	15	15	θ	θ	PROPN
cuesj-577	15	16	is	be	AUX
cuesj-577	15	17	ma	ma	PROPN
cuesj-577	15	18	parameter	parameter	PROPN
cuesj-577	15	19	,	,	PUNCT
cuesj-577	15	20	α=	α=	PROPN
cuesj-577	15	21	µ	µ	X
cuesj-577	15	22	(	(	PUNCT
cuesj-577	15	23	1−	1−	NUM
cuesj-577	15	24	∅1−	∅1−	PROPN
cuesj-577	15	25	∅2−	∅2−	PROPN
cuesj-577	15	26	…	…	SYM
cuesj-577	15	27	.−	.−	PUNCT
cuesj-577	15	28	∅p	∅p	PROPN
cuesj-577	15	29	)	)	PUNCT
cuesj-577	15	30	,	,	PUNCT
cuesj-577	15	31	µ	µ	X
cuesj-577	15	32	is	be	AUX
cuesj-577	15	33	the	the	DET
cuesj-577	15	34	mean	mean	ADJ
cuesj-577	15	35	value	value	NOUN
cuesj-577	15	36	of	of	ADP
cuesj-577	15	37	time	time	NOUN
cuesj-577	15	38	series	series	NOUN
cuesj-577	15	39	,	,	PUNCT
cuesj-577	15	40	et	et	PROPN
cuesj-577	15	41	is	be	AUX
cuesj-577	15	42	error	error	NOUN
cuesj-577	15	43	,	,	PUNCT
cuesj-577	15	44	εt=	εt=	PROPN
cuesj-577	15	45	ytty	ytty	PROPN
cuesj-577	15	46	.	.	PUNCT
cuesj-577	16	1	the	the	DET
cuesj-577	16	2	common	common	ADJ
cuesj-577	16	3	equation	equation	NOUN
cuesj-577	16	4	of	of	ADP
cuesj-577	16	5	ar(p	ar(p	NOUN
cuesj-577	16	6	)	)	PUNCT
cuesj-577	16	7	is	be	AUX
cuesj-577	16	8	:	:	PUNCT
cuesj-577	16	9	zt=	zt=	PROPN
cuesj-577	16	10	∝+	∝+	NUM
cuesj-577	16	11	∅1yt−1	∅1yt−1	PROPN
cuesj-577	16	12	+	+	CCONJ
cuesj-577	16	13	∅2yt−2+.	∅2yt−2+.	NOUN
cuesj-577	16	14	…	…	PUNCT
cuesj-577	16	15	.+	.+	NOUN
cuesj-577	17	1	∅pyt−p+	∅pyt−p+	PROPN
cuesj-577	17	2	εt	εt	PROPN
cuesj-577	17	3	(	(	PUNCT
cuesj-577	17	4	2	2	NUM
cuesj-577	17	5	)	)	PUNCT
cuesj-577	17	6	and	and	CCONJ
cuesj-577	17	7	the	the	DET
cuesj-577	17	8	common	common	ADJ
cuesj-577	17	9	equation	equation	NOUN
cuesj-577	17	10	of	of	ADP
cuesj-577	17	11	ma(q	ma(q	NOUN
cuesj-577	17	12	)	)	PUNCT
cuesj-577	17	13	is	be	AUX
cuesj-577	17	14	:	:	PUNCT
cuesj-577	17	15	zt=	zt=	X
cuesj-577	17	16	α−	α−	ADP
cuesj-577	17	17	θ1εt−1−	θ1εt−1−	PROPN
cuesj-577	17	18	θ2εt−2−.	θ2εt−2−.	NOUN
cuesj-577	17	19	…	…	NUM
cuesj-577	17	20	.−θqet−2	.−θqet−2	PUNCT
cuesj-577	18	1	+	+	SYM
cuesj-577	18	2	εt	εt	PROPN
cuesj-577	18	3	(	(	PUNCT
cuesj-577	18	4	3	3	X
cuesj-577	18	5	)	)	PUNCT
cuesj-577	18	6	the	the	DET
cuesj-577	18	7	procedures	procedure	NOUN
cuesj-577	18	8	of	of	ADP
cuesj-577	18	9	the	the	DET
cuesj-577	18	10	box	box	NOUN
cuesj-577	18	11	–	–	PUNCT
cuesj-577	18	12	jenkins	jenkins	PROPN
cuesj-577	18	13	ways	way	NOUN
cuesj-577	18	14	1the	1the	DET
cuesj-577	18	15	first	first	ADJ
cuesj-577	18	16	thing	thing	NOUN
cuesj-577	18	17	to	to	PART
cuesj-577	18	18	note	note	VERB
cuesj-577	18	19	is	be	AUX
cuesj-577	18	20	that	that	SCONJ
cuesj-577	18	21	most	most	ADJ
cuesj-577	18	22	of	of	ADP
cuesj-577	18	23	the	the	DET
cuesj-577	18	24	time	time	NOUN
cuesj-577	18	25	series	series	PROPN
cuesj-577	18	26	is	be	AUX
cuesj-577	18	27	non	non	ADJ
cuesj-577	18	28	-	-	ADJ
cuesj-577	18	29	stop	stop	VERB
cuesj-577	18	30	,	,	PUNCT
cuesj-577	18	31	and	and	CCONJ
cuesj-577	18	32	ar	ar	PROPN
cuesj-577	18	33	,	,	PUNCT
cuesj-577	18	34	ma	ma	PROPN
cuesj-577	18	35	members	member	NOUN
cuesj-577	18	36	of	of	ADP
cuesj-577	18	37	the	the	DET
cuesj-577	18	38	arima	arima	PROPN
cuesj-577	18	39	model	model	NOUN
cuesj-577	18	40	are	be	AUX
cuesj-577	18	41	corresponding	corresponding	ADJ
cuesj-577	18	42	author	author	NOUN
cuesj-577	18	43	:	:	PUNCT
cuesj-577	18	44	mohammad	mohammad	PROPN
cuesj-577	18	45	m.	m.	PROPN
cuesj-577	18	46	faqe	faqe	PROPN
cuesj-577	18	47	hussein	hussein	PROPN
cuesj-577	18	48	,	,	PUNCT
cuesj-577	18	49	college	college	NOUN
cuesj-577	18	50	of	of	ADP
cuesj-577	18	51	administration	administration	NOUN
cuesj-577	18	52	and	and	CCONJ
cuesj-577	18	53	economics	economic	NOUN
cuesj-577	18	54	,	,	PUNCT
cuesj-577	18	55	statistics	statistic	NOUN
cuesj-577	18	56	and	and	CCONJ
cuesj-577	18	57	informatics	informatics	PROPN
cuesj-577	18	58	department	department	PROPN
cuesj-577	18	59	,	,	PUNCT
cuesj-577	18	60	university	university	PROPN
cuesj-577	18	61	of	of	ADP
cuesj-577	18	62	sulaimani	sulaimani	PROPN
cuesj-577	18	63	,	,	PUNCT
cuesj-577	18	64	iraq	iraq	PROPN
cuesj-577	18	65	e	e	PROPN
cuesj-577	18	66	-	-	NOUN
cuesj-577	18	67	mail	mail	NOUN
cuesj-577	18	68	:	:	PUNCT
cuesj-577	18	69	mohammad.faqe@univsul.edu.iq	mohammad.faqe@univsul.edu.iq	PROPN
cuesj-577	18	70	received	receive	VERB
cuesj-577	18	71	:	:	PUNCT
cuesj-577	18	72	february	february	NOUN
cuesj-577	18	73	4	4	NUM
cuesj-577	18	74	,	,	PUNCT
cuesj-577	18	75	2022	2022	NUM
cuesj-577	18	76	accepted	accept	VERB
cuesj-577	18	77	:	:	PUNCT
cuesj-577	18	78	february	february	PROPN
cuesj-577	18	79	18	18	NUM
cuesj-577	18	80	,	,	PUNCT
cuesj-577	18	81	2022	2022	NUM
cuesj-577	18	82	published	publish	VERB
cuesj-577	18	83	:	:	PUNCT
cuesj-577	18	84	march	march	PROPN
cuesj-577	18	85	30	30	NUM
cuesj-577	18	86	,	,	PUNCT
cuesj-577	18	87	2022	2022	NUM
cuesj-577	18	88	doi	doi	NOUN
cuesj-577	18	89	:	:	PUNCT
cuesj-577	18	90	10.24086	10.24086	NUM
cuesj-577	18	91	/	/	SYM
cuesj-577	18	92	cuesj.v6n1y2022.pp32	cuesj.v6n1y2022.pp32	NOUN
cuesj-577	18	93	-	-	SYM
cuesj-577	18	94	46	46	NUM
cuesj-577	18	95	copyright	copyright	NOUN
cuesj-577	18	96	©	©	ADP
cuesj-577	18	97	2022	2022	NUM
cuesj-577	18	98	mohammad	mohammad	PROPN
cuesj-577	18	99	m.	m.	PROPN
cuesj-577	18	100	faqe	faqe	PROPN
cuesj-577	18	101	hussein	hussein	PROPN
cuesj-577	18	102	.	.	PUNCT
cuesj-577	19	1	this	this	PRON
cuesj-577	19	2	is	be	AUX
cuesj-577	19	3	an	an	DET
cuesj-577	19	4	open	open	ADJ
cuesj-577	19	5	-	-	PUNCT
cuesj-577	19	6	access	access	NOUN
cuesj-577	19	7	article	article	NOUN
cuesj-577	19	8	distributed	distribute	VERB
cuesj-577	19	9	under	under	ADP
cuesj-577	19	10	the	the	DET
cuesj-577	19	11	creative	creative	ADJ
cuesj-577	19	12	commons	common	NOUN
cuesj-577	19	13	attribution	attribution	NOUN
cuesj-577	19	14	license	license	NOUN
cuesj-577	19	15	(	(	PUNCT
cuesj-577	19	16	cc	cc	NOUN
cuesj-577	19	17	by	by	ADP
cuesj-577	19	18	-	-	PUNCT
cuesj-577	19	19	nc	nc	VERB
cuesj-577	19	20	-	-	PROPN
cuesj-577	19	21	nd	nd	PRON
cuesj-577	19	22	4.0	4.0	NUM
cuesj-577	19	23	)	)	PUNCT
cuesj-577	19	24	.	.	PUNCT
cuesj-577	20	1	cihan	cihan	VERB
cuesj-577	20	2	university	university	NOUN
cuesj-577	20	3	-	-	PUNCT
cuesj-577	20	4	erbil	erbil	PROPN
cuesj-577	20	5	scientific	scientific	ADJ
cuesj-577	20	6	journal	journal	NOUN
cuesj-577	20	7	(	(	PUNCT
cuesj-577	20	8	cuesj	cuesj	PROPN
cuesj-577	20	9	)	)	PUNCT
cuesj-577	20	10	https://creativecommons.org/licenses/by-nc-nd/4.0/	https://creativecommons.org/licenses/by-nc-nd/4.0/	PROPN
cuesj-577	20	11	hussein	hussein	PROPN
cuesj-577	20	12	:	:	PUNCT
cuesj-577	20	13	comparison	comparison	NOUN
cuesj-577	20	14	of	of	ADP
cuesj-577	20	15	time	time	NOUN
cuesj-577	20	16	series	series	NOUN
cuesj-577	20	17	models	model	NOUN
cuesj-577	20	18	before	before	ADP
cuesj-577	20	19	and	and	CCONJ
cuesj-577	20	20	after	after	ADP
cuesj-577	20	21	using	use	VERB
cuesj-577	20	22	wavelet	wavelet	NOUN
cuesj-577	20	23	shrinkage	shrinkage	NOUN
cuesj-577	20	24	filtering	filter	VERB
cuesj-577	20	25	33	33	NUM
cuesj-577	20	26	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-577	20	27	cuesj	cuesj	ADJ
cuesj-577	20	28	2022	2022	NUM
cuesj-577	20	29	,	,	PUNCT
cuesj-577	20	30	6	6	NUM
cuesj-577	20	31	(	(	PUNCT
cuesj-577	20	32	1	1	NUM
cuesj-577	20	33	):	):	PUNCT
cuesj-577	20	34	32	32	NUM
cuesj-577	20	35	-	-	SYM
cuesj-577	20	36	46	46	NUM
cuesj-577	20	37	only	only	ADV
cuesj-577	20	38	related	relate	VERB
cuesj-577	20	39	to	to	ADP
cuesj-577	20	40	the	the	DET
cuesj-577	20	41	stop	stop	VERB
cuesj-577	20	42	-	-	PUNCT
cuesj-577	20	43	time	time	NOUN
cuesj-577	20	44	series	series	NOUN
cuesj-577	20	45	.	.	PUNCT
cuesj-577	21	1	the	the	DET
cuesj-577	21	2	random	random	ADJ
cuesj-577	21	3	process	process	NOUN
cuesj-577	21	4	of	of	ADP
cuesj-577	21	5	zt	zt	PROPN
cuesj-577	21	6	is	be	AUX
cuesj-577	21	7	considered	consider	VERB
cuesj-577	21	8	a	a	DET
cuesj-577	21	9	stop	stop	NOUN
cuesj-577	21	10	if	if	SCONJ
cuesj-577	21	11	the	the	DET
cuesj-577	21	12	µ	µ	NOUN
cuesj-577	21	13	and	and	CCONJ
cuesj-577	21	14	the	the	DET
cuesj-577	21	15	σ2	σ2	NOUN
cuesj-577	21	16	of	of	ADP
cuesj-577	21	17	the	the	DET
cuesj-577	21	18	process	process	NOUN
cuesj-577	21	19	do	do	AUX
cuesj-577	21	20	not	not	PART
cuesj-577	21	21	change	change	VERB
cuesj-577	21	22	over	over	ADP
cuesj-577	21	23	time	time	NOUN
cuesj-577	21	24	(	(	PUNCT
cuesj-577	21	25	t	t	NOUN
cuesj-577	21	26	)	)	PUNCT
cuesj-577	21	27	means	mean	VERB
cuesj-577	21	28	zt	zt	PROPN
cuesj-577	21	29	is	be	AUX
cuesj-577	21	30	stationary	stationary	ADJ
cuesj-577	21	31	.	.	PUNCT
cuesj-577	22	1	so	so	ADV
cuesj-577	22	2	to	to	PART
cuesj-577	22	3	identify	identify	VERB
cuesj-577	22	4	the	the	DET
cuesj-577	22	5	arima	arima	PROPN
cuesj-577	22	6	model	model	NOUN
cuesj-577	22	7	,	,	PUNCT
cuesj-577	22	8	we	we	PRON
cuesj-577	22	9	have	have	VERB
cuesj-577	22	10	to	to	PART
cuesj-577	22	11	do	do	VERB
cuesj-577	22	12	two	two	NUM
cuesj-577	22	13	steps	step	NOUN
cuesj-577	22	14	:	:	PUNCT
cuesj-577	22	15	based	base	VERB
cuesj-577	22	16	on	on	ADP
cuesj-577	22	17	the	the	DET
cuesj-577	22	18	chart	chart	NOUN
cuesj-577	22	19	of	of	ADP
cuesj-577	22	20	time	time	NOUN
cuesj-577	22	21	series	series	PROPN
cuesj-577	22	22	,	,	PUNCT
cuesj-577	22	23	a	a	DET
cuesj-577	22	24	chart	chart	NOUN
cuesj-577	22	25	of	of	ADP
cuesj-577	22	26	the	the	DET
cuesj-577	22	27	pacf	pacf	NOUN
cuesj-577	22	28	autocorrelation.[4	autocorrelation.[4	NOUN
cuesj-577	22	29	-	-	PUNCT
cuesj-577	22	30	6	6	NUM
cuesj-577	22	31	]	]	PUNCT
cuesj-577	22	32	2find	2find	NUM
cuesj-577	22	33	the	the	DET
cuesj-577	22	34	suitable	suitable	ADJ
cuesj-577	22	35	values	value	NOUN
cuesj-577	22	36	of	of	ADP
cuesj-577	22	37	p	p	X
cuesj-577	22	38	,	,	PUNCT
cuesj-577	22	39	d	d	PROPN
cuesj-577	22	40	,	,	PUNCT
cuesj-577	22	41	q	q	PUNCT
cuesj-577	22	42	to	to	PART
cuesj-577	22	43	identify	identify	VERB
cuesj-577	22	44	the	the	DET
cuesj-577	22	45	type	type	NOUN
cuesj-577	22	46	of	of	ADP
cuesj-577	22	47	arima	arima	PROPN
cuesj-577	22	48	(	(	PUNCT
cuesj-577	22	49	p	p	X
cuesj-577	22	50	,	,	PUNCT
cuesj-577	22	51	d	d	NOUN
cuesj-577	22	52	,	,	PUNCT
cuesj-577	22	53	q	q	NOUN
cuesj-577	22	54	)	)	PUNCT
cuesj-577	22	55	model	model	NOUN
cuesj-577	22	56	.	.	PUNCT
cuesj-577	23	1	where	where	SCONJ
cuesj-577	23	2	p	p	NOUN
cuesj-577	23	3	is	be	AUX
cuesj-577	23	4	the	the	DET
cuesj-577	23	5	#	#	NOUN
cuesj-577	23	6	of	of	ADP
cuesj-577	23	7	ar	ar	NOUN
cuesj-577	23	8	terms	term	NOUN
cuesj-577	23	9	,	,	PUNCT
cuesj-577	23	10	d	d	PRON
cuesj-577	23	11	is	be	AUX
cuesj-577	23	12	the	the	DET
cuesj-577	23	13	#	#	NOUN
cuesj-577	23	14	of	of	ADP
cuesj-577	23	15	differences	difference	NOUN
cuesj-577	23	16	(	(	PUNCT
cuesj-577	23	17	non	non	ADJ
cuesj-577	23	18	-	-	ADJ
cuesj-577	23	19	seasonal	seasonal	ADJ
cuesj-577	23	20	)	)	PUNCT
cuesj-577	23	21	,	,	PUNCT
cuesj-577	23	22	and	and	CCONJ
cuesj-577	23	23	q	q	NOUN
cuesj-577	23	24	is	be	AUX
cuesj-577	23	25	the	the	DET
cuesj-577	23	26	#	#	NOUN
cuesj-577	23	27	of	of	ADP
cuesj-577	23	28	ma	ma	PROPN
cuesj-577	23	29	.	.	PUNCT
cuesj-577	24	1	the	the	DET
cuesj-577	24	2	pacf	pacf	PROPN
cuesj-577	24	3	and	and	CCONJ
cuesj-577	24	4	acf	acf	PROPN
cuesj-577	24	5	charts	chart	NOUN
cuesj-577	24	6	are	be	AUX
cuesj-577	24	7	used	use	VERB
cuesj-577	24	8	to	to	PART
cuesj-577	24	9	determine	determine	VERB
cuesj-577	24	10	p	p	NOUN
cuesj-577	24	11	and	and	CCONJ
cuesj-577	24	12	q	q	PROPN
cuesj-577	24	13	where	where	SCONJ
cuesj-577	24	14	acf	acf	PROPN
cuesj-577	24	15	is	be	AUX
cuesj-577	24	16	the	the	DET
cuesj-577	24	17	autocorrelation	autocorrelation	NOUN
cuesj-577	24	18	.	.	PUNCT
cuesj-577	25	1	pacf	pacf	NOUN
cuesj-577	25	2	is	be	AUX
cuesj-577	25	3	the	the	DET
cuesj-577	25	4	partial	partial	ADJ
cuesj-577	25	5	autocorrelation	autocorrelation	NOUN
cuesj-577	25	6	.	.	PUNCT
cuesj-577	26	1	select	select	VERB
cuesj-577	26	2	the	the	DET
cuesj-577	26	3	value	value	NOUN
cuesj-577	26	4	of	of	ADP
cuesj-577	26	5	p	p	NOUN
cuesj-577	26	6	if	if	SCONJ
cuesj-577	26	7	the	the	DET
cuesj-577	26	8	pacf	pacf	NOUN
cuesj-577	26	9	chart	chart	NOUN
cuesj-577	26	10	has	have	VERB
cuesj-577	26	11	a	a	DET
cuesj-577	26	12	great	great	ADJ
cuesj-577	26	13	value	value	NOUN
cuesj-577	26	14	at	at	ADP
cuesj-577	26	15	lag	lag	NOUN
cuesj-577	26	16	1,2,	1,2,	NUM
cuesj-577	26	17	…	…	SYM
cuesj-577	26	18	.p	.p	NOUN
cuesj-577	26	19	and	and	CCONJ
cuesj-577	26	20	descending	descend	VERB
cuesj-577	26	21	after	after	ADP
cuesj-577	26	22	p.	p.	NOUN
cuesj-577	26	23	choose	choose	VERB
cuesj-577	26	24	the	the	DET
cuesj-577	26	25	value	value	NOUN
cuesj-577	26	26	of	of	ADP
cuesj-577	26	27	q	q	NOUN
cuesj-577	26	28	if	if	SCONJ
cuesj-577	26	29	the	the	DET
cuesj-577	26	30	acf	acf	NOUN
cuesj-577	26	31	has	have	VERB
cuesj-577	26	32	a	a	DET
cuesj-577	26	33	great	great	ADJ
cuesj-577	26	34	value	value	NOUN
cuesj-577	26	35	at	at	ADP
cuesj-577	26	36	lag	lag	NOUN
cuesj-577	26	37	1,2,	1,2,	NUM
cuesj-577	26	38	…	…	PUNCT
cuesj-577	26	39	,q	,q	PUNCT
cuesj-577	26	40	and	and	CCONJ
cuesj-577	26	41	decreasing	decrease	VERB
cuesj-577	26	42	after	after	ADP
cuesj-577	26	43	q.	q.	PROPN
cuesj-577	26	44	3after	3after	PROPN
cuesj-577	26	45	calculating	calculate	VERB
cuesj-577	26	46	the	the	DET
cuesj-577	26	47	regression	regression	NOUN
cuesj-577	26	48	coefficient	coefficient	NOUN
cuesj-577	26	49	of	of	ADP
cuesj-577	26	50	ar	ar	PROPN
cuesj-577	26	51	and	and	CCONJ
cuesj-577	26	52	the	the	DET
cuesj-577	26	53	ma	ma	PROPN
cuesj-577	26	54	of	of	ADP
cuesj-577	26	55	the	the	DET
cuesj-577	26	56	arima	arima	PROPN
cuesj-577	26	57	model	model	NOUN
cuesj-577	26	58	,	,	PUNCT
cuesj-577	26	59	then	then	ADV
cuesj-577	26	60	we	we	PRON
cuesj-577	26	61	will	will	AUX
cuesj-577	26	62	test	test	VERB
cuesj-577	26	63	the	the	DET
cuesj-577	26	64	model	model	NOUN
cuesj-577	26	65	.	.	PUNCT
cuesj-577	27	1	wavelets	wavelet	VERB
cuesj-577	27	2	the	the	DET
cuesj-577	27	3	term	term	NOUN
cuesj-577	27	4	short	short	ADJ
cuesj-577	27	5	wave	wave	NOUN
cuesj-577	27	6	has	have	VERB
cuesj-577	27	7	flexible	flexible	ADJ
cuesj-577	27	8	mathematical	mathematical	ADJ
cuesj-577	27	9	functions	function	NOUN
cuesj-577	27	10	or	or	CCONJ
cuesj-577	27	11	a	a	DET
cuesj-577	27	12	power	power	NOUN
cuesj-577	27	13	concentrated	concentrate	VERB
cuesj-577	27	14	in	in	ADP
cuesj-577	27	15	time	time	NOUN
cuesj-577	27	16	to	to	PART
cuesj-577	27	17	give	give	VERB
cuesj-577	27	18	a	a	DET
cuesj-577	27	19	tool	tool	NOUN
cuesj-577	27	20	for	for	ADP
cuesj-577	27	21	analyzing	analyze	VERB
cuesj-577	27	22	transient	transient	NOUN
cuesj-577	27	23	,	,	PUNCT
cuesj-577	27	24	time	time	NOUN
cuesj-577	27	25	varying	vary	VERB
cuesj-577	27	26	phenomena	phenomenon	NOUN
cuesj-577	27	27	.	.	PUNCT
cuesj-577	28	1	hence	hence	ADV
cuesj-577	28	2	,	,	PUNCT
cuesj-577	28	3	a	a	DET
cuesj-577	28	4	short	short	ADJ
cuesj-577	28	5	wave	wave	NOUN
cuesj-577	28	6	divides	divide	VERB
cuesj-577	28	7	a	a	DET
cuesj-577	28	8	function	function	NOUN
cuesj-577	28	9	into	into	ADP
cuesj-577	28	10	different	different	ADJ
cuesj-577	28	11	frequency	frequency	NOUN
cuesj-577	28	12	components	component	NOUN
cuesj-577	28	13	;	;	PUNCT
cuesj-577	28	14	each	each	DET
cuesj-577	28	15	component	component	NOUN
cuesj-577	28	16	can	can	AUX
cuesj-577	28	17	then	then	ADV
cuesj-577	28	18	be	be	AUX
cuesj-577	28	19	reviewed	review	VERB
cuesj-577	28	20	with	with	ADP
cuesj-577	28	21	a	a	DET
cuesj-577	28	22	resolution	resolution	NOUN
cuesj-577	28	23	that	that	PRON
cuesj-577	28	24	corresponds	correspond	VERB
cuesj-577	28	25	to	to	ADP
cuesj-577	28	26	its	its	PRON
cuesj-577	28	27	scale	scale	NOUN
cuesj-577	28	28	.	.	PUNCT
cuesj-577	29	1	furthermore	furthermore	ADV
cuesj-577	29	2	,	,	PUNCT
cuesj-577	29	3	a	a	DET
cuesj-577	29	4	short	short	ADJ
cuesj-577	29	5	wave	wave	NOUN
cuesj-577	29	6	is	be	AUX
cuesj-577	29	7	a	a	DET
cuesj-577	29	8	function	function	NOUN
cuesj-577	29	9	defined	define	VERB
cuesj-577	29	10	over	over	ADP
cuesj-577	29	11	a	a	DET
cuesj-577	29	12	finite	finite	ADJ
cuesj-577	29	13	interval	interval	NOUN
cuesj-577	29	14	and	and	CCONJ
cuesj-577	29	15	has	have	VERB
cuesj-577	29	16	a	a	DET
cuesj-577	29	17	mean	mean	NOUN
cuesj-577	29	18	of	of	ADP
cuesj-577	29	19	zero	zero	NUM
cuesj-577	29	20	.	.	PUNCT
cuesj-577	30	1	the	the	DET
cuesj-577	30	2	fourier	fourier	ADJ
cuesj-577	30	3	analysis	analysis	NOUN
cuesj-577	30	4	is	be	AUX
cuesj-577	30	5	the	the	DET
cuesj-577	30	6	original	original	ADJ
cuesj-577	30	7	history	history	NOUN
cuesj-577	30	8	of	of	ADP
cuesj-577	30	9	short	short	ADJ
cuesj-577	30	10	wave	wave	NOUN
cuesj-577	30	11	analysis	analysis	NOUN
cuesj-577	30	12	,	,	PUNCT
cuesj-577	30	13	and	and	CCONJ
cuesj-577	30	14	it	it	PRON
cuesj-577	30	15	includes	include	VERB
cuesj-577	30	16	both	both	CCONJ
cuesj-577	30	17	the	the	DET
cuesj-577	30	18	fourier	fourier	NOUN
cuesj-577	30	19	transform	transform	NOUN
cuesj-577	30	20	and	and	CCONJ
cuesj-577	30	21	the	the	DET
cuesj-577	30	22	fourier	fourier	ADJ
cuesj-577	30	23	series	series	NOUN
cuesj-577	30	24	.	.	PUNCT
cuesj-577	31	1	the	the	DET
cuesj-577	31	2	fourier	fourier	PROPN
cuesj-577	31	3	series	series	NOUN
cuesj-577	31	4	is	be	AUX
cuesj-577	31	5	used	use	VERB
cuesj-577	31	6	to	to	PART
cuesj-577	31	7	study	study	VERB
cuesj-577	31	8	systematic	systematic	ADJ
cuesj-577	31	9	procedures	procedure	NOUN
cuesj-577	31	10	,	,	PUNCT
cuesj-577	31	11	but	but	CCONJ
cuesj-577	31	12	the	the	DET
cuesj-577	31	13	fourier	fourier	NOUN
cuesj-577	31	14	transforms	transform	VERB
cuesj-577	31	15	in	in	ADP
cuesj-577	31	16	the	the	DET
cuesj-577	31	17	frequency	frequency	NOUN
cuesj-577	31	18	domain	domain	NOUN
cuesj-577	31	19	,	,	PUNCT
cuesj-577	31	20	and	and	CCONJ
cuesj-577	31	21	it	it	PRON
cuesj-577	31	22	has	have	VERB
cuesj-577	31	23	no	no	DET
cuesj-577	31	24	information	information	NOUN
cuesj-577	31	25	about	about	ADP
cuesj-577	31	26	the	the	DET
cuesj-577	31	27	time	time	NOUN
cuesj-577	31	28	environment	environment	NOUN
cuesj-577	31	29	.	.	PUNCT
cuesj-577	32	1	hence	hence	ADV
cuesj-577	32	2	,	,	PUNCT
cuesj-577	32	3	the	the	DET
cuesj-577	32	4	fourier	fourier	NOUN
cuesj-577	32	5	transform	transform	VERB
cuesj-577	32	6	indication	indication	NOUN
cuesj-577	32	7	of	of	ADP
cuesj-577	32	8	a	a	DET
cuesj-577	32	9	signal	signal	NOUN
cuesj-577	32	10	or	or	CCONJ
cuesj-577	32	11	a	a	DET
cuesj-577	32	12	function	function	NOUN
cuesj-577	32	13	summarizes	summarize	NOUN
cuesj-577	32	14	information	information	NOUN
cuesj-577	32	15	of	of	ADP
cuesj-577	32	16	the	the	DET
cuesj-577	32	17	data	datum	NOUN
cuesj-577	32	18	as	as	ADP
cuesj-577	32	19	a	a	DET
cuesj-577	32	20	function	function	NOUN
cuesj-577	32	21	of	of	ADP
cuesj-577	32	22	frequency	frequency	NOUN
cuesj-577	32	23	,	,	PUNCT
cuesj-577	32	24	including	include	VERB
cuesj-577	32	25	the	the	DET
cuesj-577	32	26	information	information	NOUN
cuesj-577	32	27	of	of	ADP
cuesj-577	32	28	the	the	DET
cuesj-577	32	29	original	original	ADJ
cuesj-577	32	30	function.[7	function.[7	NOUN
cuesj-577	32	31	-	-	PUNCT
cuesj-577	32	32	9	9	NUM
cuesj-577	32	33	]	]	PUNCT
cuesj-577	32	34	as	as	SCONJ
cuesj-577	32	35	shown	show	VERB
cuesj-577	32	36	in	in	ADP
cuesj-577	32	37	figure	figure	NOUN
cuesj-577	32	38	1	1	NUM
cuesj-577	32	39	.	.	PUNCT
cuesj-577	33	1	wavelet	wavelet	NOUN
cuesj-577	33	2	types	type	NOUN
cuesj-577	33	3	there	there	PRON
cuesj-577	33	4	are	be	VERB
cuesj-577	33	5	two	two	NUM
cuesj-577	33	6	types	type	NOUN
cuesj-577	33	7	of	of	ADP
cuesj-577	33	8	wavelets	wavelet	NOUN
cuesj-577	33	9	that	that	PRON
cuesj-577	33	10	have	have	AUX
cuesj-577	33	11	gained	gain	VERB
cuesj-577	33	12	popularity	popularity	NOUN
cuesj-577	33	13	throughout	throughout	ADP
cuesj-577	33	14	the	the	DET
cuesj-577	33	15	development	development	NOUN
cuesj-577	33	16	of	of	ADP
cuesj-577	33	17	wavelet	wavelet	NOUN
cuesj-577	33	18	analysis	analysis	NOUN
cuesj-577	33	19	(	(	PUNCT
cuesj-577	33	20	discrete	discrete	ADJ
cuesj-577	33	21	wavelet	wavelet	NOUN
cuesj-577	33	22	and	and	CCONJ
cuesj-577	33	23	continuous	continuous	ADJ
cuesj-577	33	24	wavelet	wavelet	NOUN
cuesj-577	33	25	)	)	PUNCT
cuesj-577	33	26	shown	show	VERB
cuesj-577	33	27	in	in	ADP
cuesj-577	33	28	table	table	NOUN
cuesj-577	33	29	1:[10	1:[10	NUM
cuesj-577	33	30	-	-	SYM
cuesj-577	33	31	12	12	NUM
cuesj-577	33	32	]	]	PUNCT
cuesj-577	33	33	haar	haar	PROPN
cuesj-577	33	34	wavelet	wavelet	PROPN
cuesj-577	33	35	the	the	DET
cuesj-577	33	36	haar	haar	PROPN
cuesj-577	33	37	wavelet	wavelet	PROPN
cuesj-577	33	38	was	be	AUX
cuesj-577	33	39	created	create	VERB
cuesj-577	33	40	by	by	ADP
cuesj-577	33	41	alfred	alfred	PROPN
cuesj-577	33	42	haar	haar	PROPN
cuesj-577	33	43	and	and	CCONJ
cuesj-577	33	44	was	be	AUX
cuesj-577	33	45	presented	present	VERB
cuesj-577	33	46	in	in	ADP
cuesj-577	33	47	1909	1909	NUM
cuesj-577	33	48	.	.	PUNCT
cuesj-577	34	1	the	the	DET
cuesj-577	34	2	haar	haar	NOUN
cuesj-577	34	3	function	function	NOUN
cuesj-577	34	4	is	be	AUX
cuesj-577	34	5	the	the	DET
cuesj-577	34	6	basis	basis	NOUN
cuesj-577	34	7	of	of	ADP
cuesj-577	34	8	the	the	DET
cuesj-577	34	9	wavelet	wavelet	NOUN
cuesj-577	34	10	.	.	PUNCT
cuesj-577	35	1	the	the	DET
cuesj-577	35	2	haar	haar	NOUN
cuesj-577	35	3	is	be	AUX
cuesj-577	35	4	an	an	DET
cuesj-577	35	5	extension	extension	NOUN
cuesj-577	35	6	from	from	ADP
cuesj-577	35	7	fourier	fourier	ADJ
cuesj-577	35	8	analysis	analysis	NOUN
cuesj-577	35	9	to	to	ADP
cuesj-577	35	10	wavelet	wavelet	NOUN
cuesj-577	35	11	analysis	analysis	NOUN
cuesj-577	35	12	.	.	PUNCT
cuesj-577	36	1	the	the	DET
cuesj-577	36	2	orthogonal	orthogonal	ADJ
cuesj-577	36	3	basis	basis	NOUN
cuesj-577	36	4	for	for	ADP
cuesj-577	36	5	the	the	DET
cuesj-577	36	6	space	space	NOUN
cuesj-577	36	7	is	be	AUX
cuesj-577	36	8	haar	haar	PROPN
cuesj-577	36	9	wavelet	wavelet	NOUN
cuesj-577	36	10	{	{	PUNCT
cuesj-577	36	11	l2(r	l2(r	NOUN
cuesj-577	36	12	)	)	PUNCT
cuesj-577	36	13	}	}	PUNCT
cuesj-577	36	14	.	.	PUNCT
cuesj-577	37	1	let	let	VERB
cuesj-577	37	2	φ(x	φ(x	NOUN
cuesj-577	37	3	)	)	PUNCT
cuesj-577	37	4	,	,	PUNCT
cuesj-577	37	5	θ(x	θ(x	PROPN
cuesj-577	37	6	)	)	PUNCT
cuesj-577	37	7	be	be	VERB
cuesj-577	37	8	the	the	DET
cuesj-577	37	9	functions	function	NOUN
cuesj-577	37	10	defined	define	VERB
cuesj-577	37	11	on	on	ADP
cuesj-577	37	12	(	(	PUNCT
cuesj-577	37	13	r	r	NOUN
cuesj-577	37	14	)	)	PUNCT
cuesj-577	37	15	;	;	PUNCT
cuesj-577	37	16	consider	consider	VERB
cuesj-577	37	17	the	the	DET
cuesj-577	37	18	constraints	constraint	NOUN
cuesj-577	37	19	of	of	ADP
cuesj-577	37	20	the	the	DET
cuesj-577	37	21	(	(	PUNCT
cuesj-577	37	22	hk	hk	NOUN
cuesj-577	37	23	)	)	PUNCT
cuesj-577	37	24	for	for	ADP
cuesj-577	37	25	(	(	PUNCT
cuesj-577	37	26	n=2):[11	n=2):[11	PROPN
cuesj-577	37	27	]	]	PUNCT
cuesj-577	37	28	θ(x	θ(x	PROPN
cuesj-577	37	29	)	)	PUNCT
cuesj-577	37	30	=	=	PUNCT
cuesj-577	37	31	θ(2x	θ(2x	VERB
cuesj-577	37	32	)	)	PUNCT
cuesj-577	37	33	+	+	CCONJ
cuesj-577	37	34	θ(2x−1	θ(2x−1	ADJ
cuesj-577	37	35	)	)	PUNCT
cuesj-577	37	36	(	(	PUNCT
cuesj-577	37	37	4	4	X
cuesj-577	37	38	)	)	PUNCT
cuesj-577	37	39	now	now	ADV
cuesj-577	37	40	{	{	PUNCT
cuesj-577	37	41	h0	h0	NOUN
cuesj-577	37	42	=	=	PUNCT
cuesj-577	37	43	h1	h1	PROPN
cuesj-577	37	44	=	=	NOUN
cuesj-577	37	45	1	1	NUM
cuesj-577	37	46	}	}	PUNCT
cuesj-577	37	47	,	,	PUNCT
cuesj-577	37	48	and	and	CCONJ
cuesj-577	37	49	the	the	DET
cuesj-577	37	50	stability	stability	NOUN
cuesj-577	37	51	condition	condition	NOUN
cuesj-577	37	52	implies	imply	VERB
cuesj-577	37	53	that	that	SCONJ
cuesj-577	37	54	{	{	PUNCT
cuesj-577	37	55	h0+h1=	h0+h1=	NOUN
cuesj-577	37	56	2	2	NUM
cuesj-577	37	57	}	}	PUNCT
cuesj-577	37	58	.	.	PUNCT
cuesj-577	38	1	scaling	scale	VERB
cuesj-577	38	2	function	function	NOUN
cuesj-577	38	3	(	(	PUNCT
cuesj-577	38	4	θ	θ	NOUN
cuesj-577	38	5	)	)	PUNCT
cuesj-577	38	6	is	be	AUX
cuesj-577	38	7	satisfied	satisfied	ADJ
cuesj-577	38	8	as	as	ADP
cuesj-577	38	9	follow	follow	NOUN
cuesj-577	38	10	:	:	PUNCT
cuesj-577	38	11	1	1	NUM
cuesj-577	38	12	,	,	PUNCT
cuesj-577	38	13	 	 	SPACE
cuesj-577	38	14	0	0	NUM
cuesj-577	38	15	    	    	SPACE
cuesj-577	38	16	1	1	NUM
cuesj-577	38	17	  	  	SPACE
cuesj-577	38	18	(	(	PUNCT
cuesj-577	38	19	)	)	PUNCT
cuesj-577	38	20	 	 	SPACE
cuesj-577	38	21	0	0	NUM
cuesj-577	38	22	    	    	SPACE
cuesj-577	38	23	θ	θ	PROPN
cuesj-577	38	24	≤	≤	X
cuesj-577	39	1	<	<	X
cuesj-577	39	2			NOUN
cuesj-577	39	3	=	=	PUNCT
cuesj-577	39	4			PRON
cuesj-577	39	5			NOUN
cuesj-577	39	6	x	x	PUNCT
cuesj-577	39	7	x	x	X
cuesj-577	39	8	elsewhere	elsewhere	ADV
cuesj-577	39	9	(	(	PUNCT
cuesj-577	39	10	5	5	NUM
cuesj-577	39	11	)	)	PUNCT
cuesj-577	39	12	if	if	SCONJ
cuesj-577	39	13	the	the	DET
cuesj-577	39	14	wavelet	wavelet	NOUN
cuesj-577	39	15	function	function	NOUN
cuesj-577	39	16	is	be	AUX
cuesj-577	39	17	defined	define	VERB
cuesj-577	39	18	as	as	ADP
cuesj-577	39	19	ψ(x	ψ(x	NOUN
cuesj-577	39	20	)	)	PUNCT
cuesj-577	39	21	=	=	SYM
cuesj-577	39	22	ψ(2x	ψ(2x	X
cuesj-577	39	23	)	)	PUNCT
cuesj-577	39	24	+	+	PUNCT
cuesj-577	39	25	ψ(2x−1	ψ(2x−1	VERB
cuesj-577	39	26	)	)	PUNCT
cuesj-577	39	27	,	,	PUNCT
cuesj-577	39	28	then	then	ADV
cuesj-577	39	29	the	the	DET
cuesj-577	39	30	function	function	NOUN
cuesj-577	39	31	is	be	AUX
cuesj-577	39	32	below	below	ADV
cuesj-577	39	33	:	:	PUNCT
cuesj-577	39	34	1	1	NUM
cuesj-577	39	35	 	 	SPACE
cuesj-577	39	36	,	,	PUNCT
cuesj-577	39	37	 	 	SPACE
cuesj-577	39	38	0	0	NUM
cuesj-577	39	39	    	    	SPACE
cuesj-577	39	40	0.5	0.5	NUM
cuesj-577	39	41	  	  	SPACE
cuesj-577	39	42	(	(	PUNCT
cuesj-577	39	43	)	)	PUNCT
cuesj-577	39	44	1	1	NUM
cuesj-577	39	45	,	,	PUNCT
cuesj-577	39	46	 	 	SPACE
cuesj-577	39	47	0.5	0.5	NUM
cuesj-577	39	48	    	    	SPACE
cuesj-577	39	49	1	1	NUM
cuesj-577	39	50	 	 	SPACE
cuesj-577	39	51	0	0	NUM
cuesj-577	39	52	,	,	PUNCT
cuesj-577	39	53	  	  	SPACE
cuesj-577	39	54	ψ	ψ	X
cuesj-577	39	55	≤	≤	NUM
cuesj-577	39	56	<	<	X
cuesj-577	39	57			NOUN
cuesj-577	39	58	=	=	PROPN
cuesj-577	39	59	−	−	PROPN
cuesj-577	39	60	≤	≤	NOUN
cuesj-577	39	61	<	<	X
cuesj-577	39	62			PRON
cuesj-577	39	63			ADJ
cuesj-577	39	64			NOUN
cuesj-577	39	65	x	x	X
cuesj-577	39	66	x	x	PUNCT
cuesj-577	39	67	x	x	X
cuesj-577	39	68	otherwise	otherwise	ADV
cuesj-577	39	69	(	(	PUNCT
cuesj-577	39	70	6	6	NUM
cuesj-577	39	71	)	)	PUNCT
cuesj-577	39	72	the	the	DET
cuesj-577	39	73	function	function	NOUN
cuesj-577	39	74	(	(	PUNCT
cuesj-577	39	75	ψ	ψ	NOUN
cuesj-577	39	76	)	)	PUNCT
cuesj-577	39	77	is	be	AUX
cuesj-577	39	78	the	the	DET
cuesj-577	39	79	haar	haar	NOUN
cuesj-577	39	80	wavelet	wavelet	NOUN
cuesj-577	39	81	,	,	PUNCT
cuesj-577	39	82	and	and	CCONJ
cuesj-577	39	83	the	the	DET
cuesj-577	39	84	function	function	NOUN
cuesj-577	39	85	θ(x	θ(x	PROPN
cuesj-577	39	86	)	)	PUNCT
cuesj-577	39	87	is	be	AUX
cuesj-577	39	88	the	the	DET
cuesj-577	39	89	haar	haar	NOUN
cuesj-577	39	90	scaling	scale	VERB
cuesj-577	39	91	function	function	NOUN
cuesj-577	39	92	.	.	PUNCT
cuesj-577	40	1	the	the	DET
cuesj-577	40	2	following	follow	VERB
cuesj-577	40	3	properties	property	NOUN
cuesj-577	40	4	of	of	ADP
cuesj-577	40	5	haar	haar	PROPN
cuesj-577	40	6	wavelet	wavelet	NOUN
cuesj-577	40	7	:	:	PUNCT
cuesj-577	40	8	•	•	NOUN
cuesj-577	40	9	orthogonal	orthogonal	NOUN
cuesj-577	40	10	.	.	PUNCT
cuesj-577	41	1	•	•	NUM
cuesj-577	41	2	compact	compact	ADJ
cuesj-577	41	3	support	support	NOUN
cuesj-577	41	4	.	.	PUNCT
cuesj-577	42	1	•	•	NUM
cuesj-577	42	2	symmetric	symmetric	ADJ
cuesj-577	42	3	the	the	DET
cuesj-577	42	4	scaling	scale	VERB
cuesj-577	42	5	procedure	procedure	NOUN
cuesj-577	42	6	•	•	ADP
cuesj-577	42	7	the	the	DET
cuesj-577	42	8	anti	anti	ADJ
cuesj-577	42	9	-	-	ADJ
cuesj-577	42	10	symmetric	symmetric	ADJ
cuesj-577	42	11	wavelet	wavelet	NOUN
cuesj-577	42	12	procedure	procedure	NOUN
cuesj-577	42	13	.	.	PUNCT
cuesj-577	43	1	daubechies	daubechie	NOUN
cuesj-577	43	2	wavelet	wavelet	VERB
cuesj-577	43	3	a	a	DET
cuesj-577	43	4	compactly	compactly	ADV
cuesj-577	43	5	supported	support	VERB
cuesj-577	43	6	wavelets	wavelet	NOUN
cuesj-577	43	7	.	.	PUNCT
cuesj-577	44	1	the	the	DET
cuesj-577	44	2	family	family	NOUN
cuesj-577	44	3	of	of	ADP
cuesj-577	44	4	smooth	smooth	ADJ
cuesj-577	44	5	was	be	AUX
cuesj-577	44	6	created	create	VERB
cuesj-577	44	7	by	by	ADP
cuesj-577	44	8	daubechies	daubechie	NOUN
cuesj-577	44	9	(	(	PUNCT
cuesj-577	44	10	1988	1988	NUM
cuesj-577	44	11	)	)	PUNCT
cuesj-577	44	12	,	,	PUNCT
cuesj-577	44	13	having	have	VERB
cuesj-577	44	14	the	the	DET
cuesj-577	44	15	biggest	big	ADJ
cuesj-577	44	16	number	number	NOUN
cuesj-577	44	17	of	of	ADP
cuesj-577	44	18	die	die	VERB
cuesj-577	44	19	out	out	ADP
cuesj-577	44	20	moments	moment	NOUN
cuesj-577	44	21	for	for	ADP
cuesj-577	44	22	their	their	PRON
cuesj-577	44	23	support	support	NOUN
cuesj-577	44	24	.	.	PUNCT
cuesj-577	45	1	therefore	therefore	ADV
cuesj-577	45	2	,	,	PUNCT
cuesj-577	45	3	the	the	DET
cuesj-577	45	4	structure	structure	NOUN
cuesj-577	45	5	of	of	ADP
cuesj-577	45	6	smooth	smooth	ADJ
cuesj-577	45	7	orthonormal	orthonormal	ADJ
cuesj-577	45	8	wavelets	wavelet	NOUN
cuesj-577	45	9	needs	need	VERB
cuesj-577	45	10	the	the	DET
cuesj-577	45	11	wavelets	wavelet	NOUN
cuesj-577	45	12	ψ(x	ψ(x	NOUN
cuesj-577	45	13	)	)	PUNCT
cuesj-577	45	14	with	with	ADP
cuesj-577	45	15	many	many	ADJ
cuesj-577	45	16	vanishing	vanish	VERB
cuesj-577	45	17	moments	moment	NOUN
cuesj-577	45	18	.	.	PUNCT
cuesj-577	46	1	the	the	DET
cuesj-577	46	2	daubechies	daubechie	NOUN
cuesj-577	46	3	(	(	PUNCT
cuesj-577	46	4	db	db	PROPN
cuesj-577	46	5	)	)	PUNCT
cuesj-577	46	6	wavelet	wavelet	NOUN
cuesj-577	46	7	of	of	ADP
cuesj-577	46	8	order	order	NOUN
cuesj-577	46	9	(	(	PUNCT
cuesj-577	46	10	l	l	NOUN
cuesj-577	46	11	)	)	PUNCT
cuesj-577	46	12	has	have	AUX
cuesj-577	46	13	(	(	PUNCT
cuesj-577	46	14	l	l	NOUN
cuesj-577	46	15	)	)	PUNCT
cuesj-577	46	16	disappearing	disappear	VERB
cuesj-577	46	17	moments	moment	NOUN
cuesj-577	46	18	and	and	CCONJ
cuesj-577	46	19	is	be	AUX
cuesj-577	46	20	supported	support	VERB
cuesj-577	46	21	on	on	ADP
cuesj-577	46	22	the	the	DET
cuesj-577	46	23	interval	interval	NOUN
cuesj-577	47	1	[	[	X
cuesj-577	47	2	0,2l	0,2l	NUM
cuesj-577	47	3	−1	−1	NOUN
cuesj-577	47	4	]	]	X
cuesj-577	47	5	.	.	PUNCT
cuesj-577	48	1	the	the	DET
cuesj-577	48	2	daubechies	daubechie	NOUN
cuesj-577	48	3	wavelets	wavelet	NOUN
cuesj-577	48	4	also	also	ADV
cuesj-577	48	5	become	become	VERB
cuesj-577	48	6	smoother	smooth	ADJ
cuesj-577	48	7	with	with	ADP
cuesj-577	48	8	increasing	increase	VERB
cuesj-577	48	9	(	(	PUNCT
cuesj-577	48	10	l	l	NOUN
cuesj-577	48	11	)	)	PUNCT
cuesj-577	48	12	.	.	PUNCT
cuesj-577	49	1	the	the	DET
cuesj-577	49	2	daubechies	daubechie	NOUN
cuesj-577	49	3	compactly	compactly	ADV
cuesj-577	49	4	supported	support	VERB
cuesj-577	49	5	wavelets	wavelet	NOUN
cuesj-577	49	6	are	be	AUX
cuesj-577	49	7	created	create	VERB
cuesj-577	49	8	using	use	VERB
cuesj-577	49	9	the	the	DET
cuesj-577	49	10	usual	usual	ADJ
cuesj-577	49	11	condition	condition	NOUN
cuesj-577	49	12	.	.	PUNCT
cuesj-577	50	1	consider	consider	VERB
cuesj-577	50	2	(	(	PUNCT
cuesj-577	50	3	l=4	l=4	PROPN
cuesj-577	50	4	)	)	PUNCT
cuesj-577	50	5	then	then	ADV
cuesj-577	50	6	the	the	DET
cuesj-577	50	7	equations	equation	NOUN
cuesj-577	50	8	as	as	SCONJ
cuesj-577	50	9	follows	follow	VERB
cuesj-577	50	10	:	:	PUNCT
cuesj-577	51	1	[	[	X
cuesj-577	51	2	13,14	13,14	NUM
cuesj-577	51	3	]	]	X
cuesj-577	51	4	π0+π1+π2+π3	π0+π1+π2+π3	X
cuesj-577	51	5	=	=	SYM
cuesj-577	51	6	2	2	NUM
cuesj-577	51	7	π0−π1+π2	π0−π1+π2	X
cuesj-577	51	8	-	-	SYM
cuesj-577	51	9	π	π	NOUN
cuesj-577	51	10	3	3	NUM
cuesj-577	51	11	=	=	SYM
cuesj-577	51	12	0	0	PUNCT
cuesj-577	51	13	−π1	−π1	NOUN
cuesj-577	51	14	+	+	NOUN
cuesj-577	51	15	2π2−3π3	2π2−3π3	NUM
cuesj-577	51	16	=	=	SYM
cuesj-577	51	17	0	0	NUM
cuesj-577	51	18	π0	π0	NOUN
cuesj-577	51	19	π2	π2	ADJ
cuesj-577	51	20	+	+	CCONJ
cuesj-577	51	21	π1	π1	ADJ
cuesj-577	51	22	π3=0	π3=0	PROPN
cuesj-577	51	23	π0	π0	NOUN
cuesj-577	51	24	π2	π2	ADJ
cuesj-577	51	25	+	+	CCONJ
cuesj-577	51	26	π1	π1	ADJ
cuesj-577	51	27	π3=0	π3=0	PROPN
cuesj-577	51	28	(	(	PUNCT
cuesj-577	51	29	7	7	X
cuesj-577	51	30	)	)	PUNCT
cuesj-577	51	31	π	π	PROPN
cuesj-577	51	32	π	π	X
cuesj-577	51	33	π	π	X
cuesj-577	51	34	π+	π+	PUNCT
cuesj-577	51	35	+	+	PUNCT
cuesj-577	51	36	+	+	CCONJ
cuesj-577	51	37	=	=	SYM
cuesj-577	51	38	2	2	NUM
cuesj-577	51	39	2	2	NUM
cuesj-577	51	40	2	2	NUM
cuesj-577	51	41	2	2	NUM
cuesj-577	51	42	0	0	NUM
cuesj-577	51	43	1	1	NUM
cuesj-577	51	44	2	2	NUM
cuesj-577	51	45	3	3	NUM
cuesj-577	51	46	2	2	NUM
cuesj-577	51	47	then	then	ADV
cuesj-577	51	48	,	,	PUNCT
cuesj-577	51	49	a	a	DET
cuesj-577	51	50	unique	unique	ADJ
cuesj-577	51	51	solution	solution	NOUN
cuesj-577	51	52	for	for	ADP
cuesj-577	51	53	equation	equation	NOUN
cuesj-577	51	54	exists	exist	VERB
cuesj-577	51	55	:	:	PUNCT
cuesj-577	51	56	0.5	0.5	NUM
cuesj-577	51	57	0.5	0.5	NUM
cuesj-577	51	58	0	0	NUM
cuesj-577	51	59	1	1	NUM
cuesj-577	51	60	1	1	NUM
cuesj-577	51	61	(	(	PUNCT
cuesj-577	51	62	3	3	NUM
cuesj-577	51	63	)	)	PUNCT
cuesj-577	51	64	3	3	NUM
cuesj-577	51	65	(	(	PUNCT
cuesj-577	51	66	3	3	NUM
cuesj-577	51	67	)	)	PUNCT
cuesj-577	51	68	4	4	NUM
cuesj-577	51	69	4	4	NUM
cuesj-577	51	70			NOUN
cuesj-577	51	71			NOUN
cuesj-577	52	1	+	+	X
cuesj-577	52	2	+	+	CCONJ
cuesj-577	52	3	=	=	SYM
cuesj-577	52	4	0.5	0.5	NUM
cuesj-577	52	5	0.5	0.5	NUM
cuesj-577	52	6	2	2	NUM
cuesj-577	52	7	3	3	NUM
cuesj-577	52	8	3	3	NUM
cuesj-577	52	9	(	(	PUNCT
cuesj-577	52	10	3	3	NUM
cuesj-577	52	11	)	)	PUNCT
cuesj-577	52	12	1	1	NUM
cuesj-577	52	13	(	(	PUNCT
cuesj-577	52	14	3	3	NUM
cuesj-577	52	15	)	)	PUNCT
cuesj-577	52	16	4	4	NUM
cuesj-577	52	17	4	4	NUM
cuesj-577	52	18			NOUN
cuesj-577	52	19			NOUN
cuesj-577	52	20	+	+	CCONJ
cuesj-577	52	21	−	−	NOUN
cuesj-577	52	22	=	=	SYM
cuesj-577	52	23	the	the	DET
cuesj-577	52	24	corresponding	correspond	VERB
cuesj-577	52	25	daubechies	daubechies	PROPN
cuesj-577	52	26	wavelet	wavelet	NOUN
cuesj-577	52	27	(	(	PUNCT
cuesj-577	52	28	db2	db2	PROPN
cuesj-577	52	29	)	)	PUNCT
cuesj-577	52	30	is	be	AUX
cuesj-577	52	31	supported	support	VERB
cuesj-577	52	32	on	on	ADP
cuesj-577	52	33	interval	interval	NOUN
cuesj-577	52	34	[	[	X
cuesj-577	52	35	0	0	NUM
cuesj-577	52	36	,	,	PUNCT
cuesj-577	52	37	3	3	NUM
cuesj-577	52	38	]	]	PUNCT
cuesj-577	52	39	,	,	PUNCT
cuesj-577	52	40	as	as	SCONJ
cuesj-577	52	41	shown	show	VERB
cuesj-577	52	42	in	in	ADP
cuesj-577	52	43	figure	figure	NOUN
cuesj-577	52	44	2	2	NUM
cuesj-577	52	45	.	.	PUNCT
cuesj-577	53	1	daubechies	daubechie	NOUN
cuesj-577	53	2	wavelet	wavelet	PROPN
cuesj-577	53	3	has	have	VERB
cuesj-577	53	4	the	the	DET
cuesj-577	53	5	following	follow	VERB
cuesj-577	53	6	properties	property	NOUN
cuesj-577	53	7	:	:	PUNCT
cuesj-577	53	8	•	•	NOUN
cuesj-577	53	9	orthogonal	orthogonal	ADJ
cuesj-577	53	10	.	.	PUNCT
cuesj-577	54	1	•	•	NUM
cuesj-577	54	2	compact	compact	ADJ
cuesj-577	54	3	support	support	NOUN
cuesj-577	54	4	.	.	PUNCT
cuesj-577	55	1	•	•	ADV
cuesj-577	55	2	there	there	PRON
cuesj-577	55	3	is	be	VERB
cuesj-577	55	4	no	no	DET
cuesj-577	55	5	symmetry	symmetry	NOUN
cuesj-577	55	6	for	for	ADP
cuesj-577	55	7	n	n	X
cuesj-577	55	8	>	>	X
cuesj-577	55	9	1	1	NUM
cuesj-577	55	10	.	.	NOUN
cuesj-577	55	11	•	•	NUM
cuesj-577	55	12	has	have	AUX
cuesj-577	55	13	n	n	NOUN
cuesj-577	55	14	vanishing	vanish	VERB
cuesj-577	55	15	moment	moment	NOUN
cuesj-577	55	16	.	.	PUNCT
cuesj-577	56	1	•	•	NOUN
cuesj-577	56	2	the	the	DET
cuesj-577	56	3	filter	filter	NOUN
cuesj-577	56	4	length	length	NOUN
cuesj-577	56	5	is	be	AUX
cuesj-577	56	6	2n	2n	NUM
cuesj-577	56	7	.	.	PUNCT
cuesj-577	57	1	coiflets	coiflet	NOUN
cuesj-577	57	2	wavelet	wavelet	NOUN
cuesj-577	57	3	in	in	ADP
cuesj-577	57	4	1989	1989	NUM
cuesj-577	57	5	,	,	PUNCT
cuesj-577	57	6	coifman	coifman	NOUN
cuesj-577	57	7	proposed	propose	VERB
cuesj-577	57	8	that	that	SCONJ
cuesj-577	57	9	orthonormal	orthonormal	ADJ
cuesj-577	57	10	wavelet	wavelet	NOUN
cuesj-577	57	11	bases	basis	NOUN
cuesj-577	57	12	with	with	ADP
cuesj-577	57	13	disappearing	disappear	VERB
cuesj-577	57	14	moments	moment	NOUN
cuesj-577	57	15	be	be	AUX
cuesj-577	57	16	constructed	construct	VERB
cuesj-577	57	17	not	not	PART
cuesj-577	57	18	just	just	ADV
cuesj-577	57	19	for	for	ADP
cuesj-577	57	20	ψ(x	ψ(x	NOUN
cuesj-577	57	21	)	)	PUNCT
cuesj-577	57	22	,	,	PUNCT
cuesj-577	57	23	but	but	CCONJ
cuesj-577	57	24	also	also	ADV
cuesj-577	57	25	for	for	ADP
cuesj-577	57	26	θ(x	θ(x	PROPN
cuesj-577	57	27	)	)	PUNCT
cuesj-577	57	28	.	.	PUNCT
cuesj-577	58	1	daubechies	daubechie	NOUN
cuesj-577	58	2	studied	study	VERB
cuesj-577	58	3	the	the	DET
cuesj-577	58	4	structure	structure	NOUN
cuesj-577	58	5	of	of	ADP
cuesj-577	58	6	such	such	ADJ
cuesj-577	58	7	short	short	ADJ
cuesj-577	58	8	waves	wave	NOUN
cuesj-577	58	9	,	,	PUNCT
cuesj-577	58	10	called	call	VERB
cuesj-577	58	11	“	"	PUNCT
cuesj-577	58	12	coiflet	coiflet	NOUN
cuesj-577	58	13	”	"	PUNCT
cuesj-577	58	14	since	since	SCONJ
cuesj-577	58	15	they	they	PRON
cuesj-577	58	16	were	be	AUX
cuesj-577	58	17	initially	initially	ADV
cuesj-577	58	18	requested	request	VERB
cuesj-577	58	19	by	by	ADP
cuesj-577	58	20	coifman	coifman	NOUN
cuesj-577	58	21	,	,	PUNCT
cuesj-577	58	22	and	and	CCONJ
cuesj-577	58	23	the	the	DET
cuesj-577	58	24	order	order	NOUN
cuesj-577	58	25	became	became	AUX
cuesj-577	58	26	known	know	VERB
cuesj-577	58	27	as	as	ADP
cuesj-577	58	28	the	the	DET
cuesj-577	58	29	order	order	NOUN
cuesj-577	58	30	of	of	ADP
cuesj-577	58	31	coiflet.[15	coiflet.[15	PROPN
cuesj-577	58	32	]	]	X
cuesj-577	58	33	hussein	hussein	PROPN
cuesj-577	58	34	:	:	PUNCT
cuesj-577	58	35	comparison	comparison	NOUN
cuesj-577	58	36	of	of	ADP
cuesj-577	58	37	time	time	NOUN
cuesj-577	58	38	series	series	NOUN
cuesj-577	58	39	models	model	NOUN
cuesj-577	58	40	before	before	ADP
cuesj-577	58	41	and	and	CCONJ
cuesj-577	58	42	after	after	ADP
cuesj-577	58	43	using	use	VERB
cuesj-577	58	44	wavelet	wavelet	NOUN
cuesj-577	58	45	shrinkage	shrinkage	NOUN
cuesj-577	58	46	filtering	filter	VERB
cuesj-577	58	47	34	34	NUM
cuesj-577	58	48	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-577	58	49	cuesj	cuesj	ADJ
cuesj-577	58	50	2022	2022	NUM
cuesj-577	58	51	,	,	PUNCT
cuesj-577	58	52	6	6	NUM
cuesj-577	58	53	(	(	PUNCT
cuesj-577	58	54	1	1	NUM
cuesj-577	58	55	):	):	PUNCT
cuesj-577	58	56	32	32	NUM
cuesj-577	58	57	-	-	SYM
cuesj-577	58	58	46	46	NUM
cuesj-577	58	59	the	the	DET
cuesj-577	58	60	wavelet	wavelet	NOUN
cuesj-577	58	61	ψ(x	ψ(x	PROPN
cuesj-577	58	62	)	)	PUNCT
cuesj-577	58	63	associated	associate	VERB
cuesj-577	58	64	with	with	ADP
cuesj-577	58	65	(	(	PUNCT
cuesj-577	58	66	coifn	coifn	NOUN
cuesj-577	58	67	)	)	PUNCT
cuesj-577	58	68	has	have	VERB
cuesj-577	58	69	(	(	PUNCT
cuesj-577	58	70	2n	2n	X
cuesj-577	58	71	)	)	PUNCT
cuesj-577	58	72	vanishing	vanish	VERB
cuesj-577	58	73	moment	moment	NOUN
cuesj-577	58	74	but	but	CCONJ
cuesj-577	58	75	also	also	ADV
cuesj-577	58	76	the	the	DET
cuesj-577	58	77	scaling	scale	VERB
cuesj-577	58	78	function	function	NOUN
cuesj-577	58	79	(	(	PUNCT
cuesj-577	58	80	has	have	VERB
cuesj-577	58	81	[	[	X
cuesj-577	58	82	2	2	NUM
cuesj-577	58	83	−1	−1	NOUN
cuesj-577	58	84	]	]	PUNCT
cuesj-577	58	85	)	)	PUNCT
cuesj-577	58	86	vanishing	vanish	VERB
cuesj-577	58	87	moment	moment	NOUN
cuesj-577	58	88	.	.	PUNCT
cuesj-577	59	1	the	the	DET
cuesj-577	59	2	two	two	NUM
cuesj-577	59	3	functions	function	NOUN
cuesj-577	59	4	ψ(x	ψ(x	NOUN
cuesj-577	59	5	)	)	PUNCT
cuesj-577	59	6	and	and	CCONJ
cuesj-577	59	7	θ(x	θ(x	PROPN
cuesj-577	59	8	)	)	PUNCT
cuesj-577	59	9	have	have	VERB
cuesj-577	59	10	support	support	NOUN
cuesj-577	59	11	with	with	ADP
cuesj-577	59	12	length	length	NOUN
cuesj-577	59	13	(	(	PUNCT
cuesj-577	59	14	6n	6n	NOUN
cuesj-577	59	15	1	1	NUM
cuesj-577	59	16	)	)	PUNCT
cuesj-577	59	17	.	.	PUNCT
cuesj-577	60	1	the	the	DET
cuesj-577	60	2	coiflets	coiflet	NOUN
cuesj-577	60	3	wavelet	wavelet	NOUN
cuesj-577	60	4	satisfied	satisfy	VERB
cuesj-577	60	5	the	the	DET
cuesj-577	60	6	following	follow	VERB
cuesj-577	60	7	properties	property	NOUN
cuesj-577	60	8	:	:	PUNCT
cuesj-577	60	9	•	•	NOUN
cuesj-577	60	10	orthogonal	orthogonal	ADJ
cuesj-577	60	11	.	.	PUNCT
cuesj-577	61	1	•	•	NUM
cuesj-577	61	2	compact	compact	ADJ
cuesj-577	61	3	support	support	NOUN
cuesj-577	61	4	.	.	PUNCT
cuesj-577	62	1	•	•	NUM
cuesj-577	62	2	almost	almost	ADV
cuesj-577	62	3	symmetric	symmetric	ADJ
cuesj-577	62	4	.	.	PUNCT
cuesj-577	63	1	symlet	symlet	PROPN
cuesj-577	63	2	wavelet	wavelet	PROPN
cuesj-577	63	3	symlet	symlet	PROPN
cuesj-577	63	4	wavelets	wavelet	NOUN
cuesj-577	63	5	are	be	AUX
cuesj-577	63	6	created	create	VERB
cuesj-577	63	7	by	by	ADP
cuesj-577	63	8	altering	alter	VERB
cuesj-577	63	9	the	the	DET
cuesj-577	63	10	symmetry	symmetry	NOUN
cuesj-577	63	11	of	of	ADP
cuesj-577	63	12	daubechies	daubechie	NOUN
cuesj-577	63	13	wavelets	wavelet	VERB
cuesj-577	63	14	,	,	PUNCT
cuesj-577	63	15	and	and	CCONJ
cuesj-577	63	16	their	their	PRON
cuesj-577	63	17	properties	property	NOUN
cuesj-577	63	18	are	be	AUX
cuesj-577	63	19	nearly	nearly	ADV
cuesj-577	63	20	identical	identical	ADJ
cuesj-577	63	21	to	to	ADP
cuesj-577	63	22	those	those	PRON
cuesj-577	63	23	of	of	ADP
cuesj-577	63	24	daubechies	daubechie	NOUN
cuesj-577	63	25	wavelets	wavelet	VERB
cuesj-577	63	26	.	.	PUNCT
cuesj-577	64	1	these	these	PRON
cuesj-577	64	2	are	be	AUX
cuesj-577	64	3	the	the	DET
cuesj-577	64	4	symlet	symlet	ADJ
cuesj-577	64	5	wavelets	wavelet	NOUN
cuesj-577	64	6	,	,	PUNCT
cuesj-577	64	7	which	which	PRON
cuesj-577	64	8	are	be	AUX
cuesj-577	64	9	symmetrical	symmetrical	ADJ
cuesj-577	64	10	wavelets	wavelet	NOUN
cuesj-577	64	11	.	.	PUNCT
cuesj-577	65	1	wavelets	wavelet	NOUN
cuesj-577	65	2	corresponding	correspond	VERB
cuesj-577	65	3	to	to	AUX
cuesj-577	65	4	symlet	symlet	VERB
cuesj-577	65	5	correspond	correspond	PROPN
cuesj-577	65	6	to	to	ADP
cuesj-577	65	7	sym	sym	PROPN
cuesj-577	65	8	n	n	CCONJ
cuesj-577	65	9	,	,	PUNCT
cuesj-577	65	10	where	where	SCONJ
cuesj-577	65	11	n	n	X
cuesj-577	65	12	is	be	AUX
cuesj-577	65	13	the	the	DET
cuesj-577	65	14	order.[15	order.[15	PROPN
cuesj-577	65	15	]	]	PUNCT
cuesj-577	65	16	discrete	discrete	NOUN
cuesj-577	65	17	meyer	meyer	PROPN
cuesj-577	65	18	wavelet	wavelet	PROPN
cuesj-577	65	19	meyer	meyer	PROPN
cuesj-577	65	20	wavelets	wavelet	NOUN
cuesj-577	65	21	feature	feature	VERB
cuesj-577	65	22	a	a	DET
cuesj-577	65	23	symmetric	symmetric	ADJ
cuesj-577	65	24	scaling	scale	VERB
cuesj-577	65	25	wavelet	wavelet	NOUN
cuesj-577	65	26	function	function	NOUN
cuesj-577	65	27	and	and	CCONJ
cuesj-577	65	28	are	be	AUX
cuesj-577	65	29	orthogonal	orthogonal	ADJ
cuesj-577	65	30	.	.	PUNCT
cuesj-577	66	1	it	it	PRON
cuesj-577	66	2	has	have	VERB
cuesj-577	66	3	an	an	DET
cuesj-577	66	4	infinite	infinite	ADJ
cuesj-577	66	5	number	number	NOUN
cuesj-577	66	6	of	of	ADP
cuesj-577	66	7	supports	support	NOUN
cuesj-577	66	8	and	and	CCONJ
cuesj-577	66	9	is	be	AUX
cuesj-577	66	10	band	band	NOUN
cuesj-577	66	11	-	-	PUNCT
cuesj-577	66	12	limited	limited	ADJ
cuesj-577	66	13	,	,	PUNCT
cuesj-577	66	14	but	but	CCONJ
cuesj-577	66	15	it	it	PRON
cuesj-577	66	16	decays	decay	VERB
cuesj-577	66	17	quicker	quick	ADV
cuesj-577	66	18	than	than	ADP
cuesj-577	66	19	sync	sync	NOUN
cuesj-577	66	20	wavelet	wavelet	NOUN
cuesj-577	66	21	and	and	CCONJ
cuesj-577	66	22	is	be	AUX
cuesj-577	66	23	indefinitely	indefinitely	ADV
cuesj-577	66	24	differentiable.[16,17	differentiable.[16,17	ADJ
cuesj-577	66	25	]	]	PUNCT
cuesj-577	66	26	in	in	ADP
cuesj-577	66	27	the	the	DET
cuesj-577	66	28	frequency	frequency	NOUN
cuesj-577	66	29	domain	domain	NOUN
cuesj-577	66	30	,	,	PUNCT
cuesj-577	66	31	the	the	DET
cuesj-577	66	32	meyer	meyer	PROPN
cuesj-577	66	33	wavelet	wavelet	PROPN
cuesj-577	66	34	is	be	AUX
cuesj-577	66	35	defined	define	VERB
cuesj-577	66	36	in	in	ADP
cuesj-577	66	37	terms	term	NOUN
cuesj-577	66	38	of	of	ADP
cuesj-577	66	39	function	function	NOUN
cuesj-577	66	40	z	z	PROPN
cuesj-577	66	41	as	as	ADP
cuesj-577	66	42	an	an	DET
cuesj-577	66	43	infinitely	infinitely	ADV
cuesj-577	66	44	differentiable	differentiable	ADJ
cuesj-577	66	45	wavelet	wavelet	NOUN
cuesj-577	66	46	with	with	ADP
cuesj-577	66	47	infinite	infinite	ADJ
cuesj-577	66	48	support	support	NOUN
cuesj-577	66	49	.	.	PUNCT
cuesj-577	67	1	(	(	PUNCT
cuesj-577	67	2	)	)	PUNCT
cuesj-577	67	3	j	j	NOUN
cuesj-577	67	4	2	2	NUM
cuesj-577	67	5	0.5	0.5	NUM
cuesj-577	67	6	j	j	PROPN
cuesj-577	67	7	2	2	NUM
cuesj-577	67	8	0.5	0.5	NUM
cuesj-577	67	9	31	31	NUM
cuesj-577	67	10	1	1	NUM
cuesj-577	67	11	2	2	NUM
cuesj-577	67	12	4sin	4sin	NUM
cuesj-577	67	13	z	z	NOUN
cuesj-577	67	14	1	1	NUM
cuesj-577	67	15	e	e	NOUN
cuesj-577	67	16	if	if	SCONJ
cuesj-577	67	17	,	,	PUNCT
cuesj-577	67	18	(	(	PUNCT
cuesj-577	67	19	2	2	X
cuesj-577	67	20	)	)	PUNCT
cuesj-577	67	21	2	2	NUM
cuesj-577	67	22	2	2	NUM
cuesj-577	67	23	3	3	NUM
cuesj-577	67	24	3	3	NUM
cuesj-577	67	25	31	31	NUM
cuesj-577	67	26	4	4	NUM
cuesj-577	67	27	48z	48z	NOUN
cuesj-577	67	28	1	1	NUM
cuesj-577	67	29	e	e	NOUN
cuesj-577	67	30	,	,	PUNCT
cuesj-577	67	31	1	1	NUM
cuesj-577	67	32	cos	cos	NOUN
cuesj-577	67	33	2	2	NUM
cuesj-577	67	34	4	4	NUM
cuesj-577	67	35	3	3	NUM
cuesj-577	67	36	3	3	NUM
cuesj-577	67	37	(	(	PUNCT
cuesj-577	67	38	2	2	NUM
cuesj-577	67	39	)	)	PUNCT
cuesj-577	67	40	0	0	PUNCT
cuesj-577	68	1	if	if	SCONJ
cuesj-577	68	2	otherwise	otherwise	ADV
cuesj-577	68	3	ω	ω	PROPN
cuesj-577	68	4	ω	ω	PROPN
cuesj-577	68	5	ω	ω	PROPN
cuesj-577	68	6	π	π	PROPN
cuesj-577	68	7	π	π	PROPN
cuesj-577	68	8	ω	ω	PUNCT
cuesj-577	68	9	π	π	PROPN
cuesj-577	68	10	π	π	X
cuesj-577	68	11	π	π	X
cuesj-577	68	12	ωϕ	ωϕ	INTJ
cuesj-577	68	13	ω	ω	NUM
cuesj-577	68	14	π	π	PROPN
cuesj-577	68	15	π	π	PROPN
cuesj-577	68	16	ω	ω	PUNCT
cuesj-577	68	17	π	π	PROPN
cuesj-577	68	18	π	π	PUNCT
cuesj-577	68	19	π	π	X
cuesj-577	68	20			VERB
cuesj-577	68	21			PROPN
cuesj-577	68	22			NOUN
cuesj-577	68	23			PUNCT
cuesj-577	69	1	−	−	X
cuesj-577	69	2	<	<	X
cuesj-577	69	3	<	<	X
cuesj-577	69	4			PROPN
cuesj-577	69	5			NOUN
cuesj-577	69	6			NOUN
cuesj-577	69	7			X
cuesj-577	70	1			PRON
cuesj-577	70	2			NOUN
cuesj-577	70	3			PROPN
cuesj-577	70	4			PUNCT
cuesj-577	71	1			VERB
cuesj-577	71	2			PROPN
cuesj-577	71	3			PROPN
cuesj-577	71	4			PROPN
cuesj-577	71	5			PUNCT
cuesj-577	71	6			PROPN
cuesj-577	71	7	=	=	PUNCT
cuesj-577	71	8			X
cuesj-577	71	9	−	−	X
cuesj-577	71	10	<	<	X
cuesj-577	71	11	<	<	X
cuesj-577	71	12			X
cuesj-577	71	13			NOUN
cuesj-577	71	14			X
cuesj-577	72	1			PRON
cuesj-577	72	2			NOUN
cuesj-577	72	3			PROPN
cuesj-577	72	4			PUNCT
cuesj-577	73	1			PROPN
cuesj-577	73	2			PROPN
cuesj-577	73	3			PROPN
cuesj-577	73	4			PROPN
cuesj-577	73	5			ADJ
cuesj-577	73	6			PUNCT
cuesj-577	73	7			NOUN
cuesj-577	73	8	(	(	PUNCT
cuesj-577	73	9	8)	8)	NUM
cuesj-577	73	10	where	where	SCONJ
cuesj-577	73	11	z(x)=x4	z(x)=x4	NOUN
cuesj-577	73	12	(	(	PUNCT
cuesj-577	73	13	35−84x+70x2−20x3	35−84x+70x2−20x3	NUM
cuesj-577	73	14	)	)	PUNCT
cuesj-577	73	15	if	if	SCONJ
cuesj-577	73	16	0	0	NUM
cuesj-577	73	17	<	<	X
cuesj-577	73	18	x<1	x<1	PROPN
cuesj-577	73	19	(	(	PUNCT
cuesj-577	73	20	)	)	PUNCT
cuesj-577	73	21	0.5	0.5	NUM
cuesj-577	73	22	0.5	0.5	NUM
cuesj-577	73	23	1	1	NUM
cuesj-577	73	24	2	2	NUM
cuesj-577	73	25	(	(	PUNCT
cuesj-577	73	26	2	2	NUM
cuesj-577	73	27	)	)	PUNCT
cuesj-577	73	28	3	3	NUM
cuesj-577	73	29	31	31	NUM
cuesj-577	73	30	4	4	NUM
cuesj-577	73	31	48z	48z	NOUN
cuesj-577	73	32	1	1	NUM
cuesj-577	73	33	,	,	PUNCT
cuesj-577	73	34	1	1	NUM
cuesj-577	73	35	cos	cos	NOUN
cuesj-577	73	36	2	2	NUM
cuesj-577	73	37	2	2	NUM
cuesj-577	73	38	3	3	NUM
cuesj-577	73	39	3	3	NUM
cuesj-577	73	40	(	(	PUNCT
cuesj-577	73	41	2	2	NUM
cuesj-577	73	42	)	)	PUNCT
cuesj-577	73	43	0	0	PUNCT
cuesj-577	74	1	if	if	SCONJ
cuesj-577	74	2	if	if	SCONJ
cuesj-577	74	3	otherwise	otherwise	ADV
cuesj-577	74	4	ω	ω	X
cuesj-577	74	5	π	π	PROPN
cuesj-577	74	6	π	π	PROPN
cuesj-577	74	7	ω	ω	PUNCT
cuesj-577	74	8	π	π	PROPN
cuesj-577	74	9	π	π	PROPN
cuesj-577	74	10	ω	ω	PROPN
cuesj-577	74	11	π∅	π∅	PROPN
cuesj-577	74	12	ω	ω	PROPN
cuesj-577	74	13	π	π	NOUN
cuesj-577	74	14	π	π	X
cuesj-577	74	15			PRON
cuesj-577	74	16	<	<	PROPN
cuesj-577	74	17			X
cuesj-577	74	18			PROPN
cuesj-577	74	19			PROPN
cuesj-577	74	20			PROPN
cuesj-577	74	21			NOUN
cuesj-577	74	22			NOUN
cuesj-577	74	23			PROPN
cuesj-577	74	24	−	−	PROPN
cuesj-577	74	25	<	<	X
cuesj-577	75	1	<	<	X
cuesj-577	75	2	=	=	NOUN
cuesj-577	75	3			NOUN
cuesj-577	75	4			NOUN
cuesj-577	76	1			PUNCT
cuesj-577	76	2			VERB
cuesj-577	76	3			PUNCT
cuesj-577	76	4			PROPN
cuesj-577	76	5			PROPN
cuesj-577	76	6			PROPN
cuesj-577	76	7			PROPN
cuesj-577	76	8			PROPN
cuesj-577	76	9			PROPN
cuesj-577	76	10			PROPN
cuesj-577	76	11			ADJ
cuesj-577	76	12			PUNCT
cuesj-577	76	13			NOUN
cuesj-577	76	14	(	(	PUNCT
cuesj-577	76	15	9	9	NUM
cuesj-577	76	16	)	)	PUNCT
cuesj-577	76	17	thresholding	thresholde	VERB
cuesj-577	76	18	the	the	DET
cuesj-577	76	19	threshold	threshold	NOUN
cuesj-577	76	20	is	be	AUX
cuesj-577	76	21	the	the	DET
cuesj-577	76	22	estimated	estimate	VERB
cuesj-577	76	23	noise	noise	NOUN
cuesj-577	76	24	class	class	NOUN
cuesj-577	76	25	,	,	PUNCT
cuesj-577	76	26	it	it	PRON
cuesj-577	76	27	separates	separate	VERB
cuesj-577	76	28	the	the	DET
cuesj-577	76	29	wavelet	wavelet	NOUN
cuesj-577	76	30	coefficient	coefficient	NOUN
cuesj-577	76	31	into	into	ADP
cuesj-577	76	32	two	two	NUM
cuesj-577	76	33	parts	part	NOUN
cuesj-577	76	34	,	,	PUNCT
cuesj-577	76	35	the	the	DET
cuesj-577	76	36	values	value	NOUN
cuesj-577	76	37	more	more	ADV
cuesj-577	76	38	significant	significant	ADJ
cuesj-577	76	39	than	than	ADP
cuesj-577	76	40	the	the	DET
cuesj-577	76	41	threshold	threshold	NOUN
cuesj-577	76	42	being	be	AUX
cuesj-577	76	43	considered	consider	VERB
cuesj-577	76	44	signal	signal	NOUN
cuesj-577	76	45	and	and	CCONJ
cuesj-577	76	46	the	the	DET
cuesj-577	76	47	smaller	small	ADJ
cuesj-577	76	48	being	being	AUX
cuesj-577	76	49	considered	consider	VERB
cuesj-577	76	50	noise	noise	NOUN
cuesj-577	76	51	;	;	PUNCT
cuesj-577	76	52	there	there	PRON
cuesj-577	76	53	are	be	VERB
cuesj-577	76	54	several	several	ADJ
cuesj-577	76	55	rules	rule	NOUN
cuesj-577	76	56	to	to	PART
cuesj-577	76	57	apply	apply	VERB
cuesj-577	76	58	the	the	DET
cuesj-577	76	59	wavelet	wavelet	NOUN
cuesj-577	76	60	coefficient	coefficient	NOUN
cuesj-577	76	61	thresholds	threshold	NOUN
cuesj-577	76	62	and	and	CCONJ
cuesj-577	76	63	several	several	ADJ
cuesj-577	76	64	ways	way	NOUN
cuesj-577	76	65	to	to	PART
cuesj-577	76	66	select	select	VERB
cuesj-577	76	67	a	a	DET
cuesj-577	76	68	threshold	threshold	NOUN
cuesj-577	76	69	as	as	SCONJ
cuesj-577	76	70	follows	follow	VERB
cuesj-577	76	71	:	:	PUNCT
cuesj-577	76	72	[	[	X
cuesj-577	76	73	18	18	NUM
cuesj-577	76	74	]	]	SYM
cuesj-577	76	75	1	1	NUM
cuesj-577	76	76	.	.	PUNCT
cuesj-577	76	77	universal	universal	ADJ
cuesj-577	76	78	threshold	threshold	NOUN
cuesj-577	76	79	.	.	PUNCT
cuesj-577	77	1	2	2	X
cuesj-577	77	2	.	.	X
cuesj-577	77	3	specific	specific	ADJ
cuesj-577	77	4	threshold	threshold	NOUN
cuesj-577	77	5	.	.	PUNCT
cuesj-577	78	1	3	3	X
cuesj-577	78	2	.	.	X
cuesj-577	78	3	minimax	minimax	NOUN
cuesj-577	78	4	threshold	threshold	NOUN
cuesj-577	78	5	.	.	PUNCT
cuesj-577	79	1	4	4	X
cuesj-577	79	2	.	.	X
cuesj-577	79	3	cross	cross	ADJ
cuesj-577	79	4	-	-	ADJ
cuesj-577	79	5	validation	validation	ADJ
cuesj-577	79	6	threshold	threshold	NOUN
cuesj-577	79	7	•	•	NOUN
cuesj-577	79	8	two	two	NUM
cuesj-577	79	9	-	-	PUNCT
cuesj-577	79	10	fold	fold	ADJ
cuesj-577	79	11	cross	cross	ADJ
cuesj-577	79	12	-	-	ADJ
cuesj-577	79	13	validation	validation	ADJ
cuesj-577	79	14	•	•	NOUN
cuesj-577	79	15	leave	leave	VERB
cuesj-577	79	16	-	-	PUNCT
cuesj-577	79	17	one	one	NUM
cuesj-577	79	18	-	-	PUNCT
cuesj-577	79	19	out	out	ADP
cuesj-577	79	20	cross	cross	ADJ
cuesj-577	79	21	-	-	ADJ
cuesj-577	79	22	validation	validation	ADJ
cuesj-577	79	23	thresholding	thresholding	NOUN
cuesj-577	79	24	rules	rule	NOUN
cuesj-577	79	25	hard	hard	ADJ
cuesj-577	79	26	thresholding	thresholde	VERB
cuesj-577	79	27	donoho	donoho	NOUN
cuesj-577	79	28	and	and	CCONJ
cuesj-577	79	29	johnstone	johnstone	PROPN
cuesj-577	79	30	proposed	propose	VERB
cuesj-577	79	31	this	this	DET
cuesj-577	79	32	technique	technique	NOUN
cuesj-577	79	33	.	.	PUNCT
cuesj-577	80	1	it	it	PRON
cuesj-577	80	2	is	be	AUX
cuesj-577	80	3	the	the	DET
cuesj-577	80	4	most	most	ADV
cuesj-577	80	5	straightforward	straightforward	ADJ
cuesj-577	80	6	technique	technique	NOUN
cuesj-577	80	7	for	for	ADP
cuesj-577	80	8	implementing	implement	VERB
cuesj-577	80	9	wavelet	wavelet	NOUN
cuesj-577	80	10	denoising	denoising	NOUN
cuesj-577	80	11	,	,	PUNCT
cuesj-577	80	12	which	which	PRON
cuesj-577	80	13	interprets	interpret	VERB
cuesj-577	80	14	the	the	DET
cuesj-577	80	15	“	"	PUNCT
cuesj-577	80	16	keep	keep	VERB
cuesj-577	80	17	or	or	CCONJ
cuesj-577	80	18	kill	kill	VERB
cuesj-577	80	19	”	"	PUNCT
cuesj-577	80	20	statement	statement	NOUN
cuesj-577	80	21	.	.	PUNCT
cuesj-577	81	1	the	the	DET
cuesj-577	81	2	wavelet	wavelet	NOUN
cuesj-577	81	3	coefficient	coefficient	NOUN
cuesj-577	81	4	is	be	AUX
cuesj-577	81	5	set	set	VERB
cuesj-577	81	6	to	to	ADP
cuesj-577	81	7	the	the	DET
cuesj-577	81	8	vector	vector	NOUN
cuesj-577	81	9	(	(	PUNCT
cuesj-577	81	10	ωn(ht	ωn(ht	NOUN
cuesj-577	81	11	)	)	PUNCT
cuesj-577	81	12	)	)	PUNCT
cuesj-577	81	13	with	with	ADP
cuesj-577	81	14	element.[18,19	element.[18,19	NOUN
cuesj-577	81	15	]	]	PUNCT
cuesj-577	81	16	n(ht	n(ht	NOUN
cuesj-577	81	17	)	)	PUNCT
cuesj-577	81	18	n	n	CCONJ
cuesj-577	81	19	n	n	CCONJ
cuesj-577	81	20	n	n	NOUN
cuesj-577	81	21	0	0	NUM
cuesj-577	81	22	  	  	SPACE
cuesj-577	81	23	if	if	SCONJ
cuesj-577	81	24	      	      	SPACE
cuesj-577	81	25	if	if	SCONJ
cuesj-577	81	26	    	    	SPACE
cuesj-577	81	27			X
cuesj-577	81	28			NUM
cuesj-577	81	29			X
cuesj-577	81	30			X
cuesj-577	81	31			X
cuesj-577	81	32			NUM
cuesj-577	81	33			NOUN
cuesj-577	81	34	≤	≤	NOUN
cuesj-577	81	35	=	=	SYM
cuesj-577	81	36			PUNCT
cuesj-577	81	37	>	>	PROPN
cuesj-577	81	38			PROPN
cuesj-577	81	39	(	(	PUNCT
cuesj-577	81	40	10	10	NUM
cuesj-577	81	41	)	)	PUNCT
cuesj-577	81	42	if	if	SCONJ
cuesj-577	81	43	the	the	DET
cuesj-577	81	44	coefficients	coefficient	NOUN
cuesj-577	81	45	are	be	AUX
cuesj-577	81	46	more	more	ADV
cuesj-577	81	47	significant	significant	ADJ
cuesj-577	81	48	than	than	ADP
cuesj-577	81	49	the	the	DET
cuesj-577	81	50	threshold	threshold	NOUN
cuesj-577	81	51	value	value	NOUN
cuesj-577	81	52	(	(	PUNCT
cuesj-577	81	53	η	η	NOUN
cuesj-577	81	54	)	)	PUNCT
cuesj-577	81	55	,	,	PUNCT
cuesj-577	81	56	they	they	PRON
cuesj-577	81	57	remain	remain	VERB
cuesj-577	81	58	without	without	ADP
cuesj-577	81	59	changing	change	VERB
cuesj-577	81	60	.	.	PUNCT
cuesj-577	82	1	however	however	ADV
cuesj-577	82	2	,	,	PUNCT
cuesj-577	82	3	if	if	SCONJ
cuesj-577	82	4	they	they	PRON
cuesj-577	82	5	are	be	AUX
cuesj-577	82	6	smaller	small	ADJ
cuesj-577	82	7	than	than	ADP
cuesj-577	82	8	or	or	CCONJ
cuesj-577	82	9	equal	equal	ADJ
cuesj-577	82	10	to	to	ADP
cuesj-577	82	11	the	the	DET
cuesj-577	82	12	threshold	threshold	NOUN
cuesj-577	82	13	value	value	NOUN
cuesj-577	82	14	(	(	PUNCT
cuesj-577	82	15	η	η	NOUN
cuesj-577	82	16	)	)	PUNCT
cuesj-577	82	17	,	,	PUNCT
cuesj-577	82	18	they	they	PRON
cuesj-577	82	19	are	be	AUX
cuesj-577	82	20	eliminated	eliminate	VERB
cuesj-577	82	21	or	or	CCONJ
cuesj-577	82	22	set	set	VERB
cuesj-577	82	23	to	to	ADP
cuesj-577	82	24	zero	zero	NUM
cuesj-577	82	25	.	.	PUNCT
cuesj-577	83	1	soft	soft	ADJ
cuesj-577	83	2	thresholding	thresholde	VERB
cuesj-577	83	3	the	the	DET
cuesj-577	83	4	other	other	ADJ
cuesj-577	83	5	standard	standard	ADJ
cuesj-577	83	6	procedure	procedure	NOUN
cuesj-577	83	7	for	for	ADP
cuesj-577	83	8	wavelet	wavelet	NOUN
cuesj-577	83	9	denoising	denoising	NOUN
cuesj-577	83	10	is	be	AUX
cuesj-577	83	11	soft	soft	ADJ
cuesj-577	83	12	thresholding	thresholding	NOUN
cuesj-577	83	13	of	of	ADP
cuesj-577	83	14	the	the	DET
cuesj-577	83	15	wavelet	wavelet	NOUN
cuesj-577	83	16	coefficient	coefficient	NOUN
cuesj-577	83	17	,	,	PUNCT
cuesj-577	83	18	also	also	ADV
cuesj-577	83	19	suggested	suggest	VERB
cuesj-577	83	20	by	by	ADP
cuesj-577	83	21	donoho	donoho	NOUN
cuesj-577	83	22	and	and	CCONJ
cuesj-577	83	23	johnstone	johnstone	PROPN
cuesj-577	83	24	,	,	PUNCT
cuesj-577	83	25	which	which	PRON
cuesj-577	83	26	is	be	AUX
cuesj-577	83	27	defined	define	VERB
cuesj-577	83	28	as	as	SCONJ
cuesj-577	83	29	follows	follow	VERB
cuesj-577	83	30	:	:	PUNCT
cuesj-577	83	31	[	[	X
cuesj-577	83	32	18,19	18,19	X
cuesj-577	83	33	]	]	X
cuesj-577	83	34	ωn	ωn	PROPN
cuesj-577	83	35	(	(	PUNCT
cuesj-577	83	36	st	st	PROPN
cuesj-577	83	37	)	)	PUNCT
cuesj-577	83	38	=	=	PUNCT
cuesj-577	83	39	sign	sign	VERB
cuesj-577	84	1	[	[	X
cuesj-577	84	2	ωn	ωn	X
cuesj-577	84	3	]	]	X
cuesj-577	84	4	(	(	PUNCT
cuesj-577	84	5	abs(ωn)η	abs(ωn)η	PROPN
cuesj-577	84	6	)	)	PUNCT
cuesj-577	84	7	+	+	NOUN
cuesj-577	84	8	…	…	PUNCT
cuesj-577	84	9	(	(	PUNCT
cuesj-577	84	10	1	1	X
cuesj-577	84	11	)	)	PUNCT
cuesj-577	84	12	where	where	SCONJ
cuesj-577	84	13	n	n	CCONJ
cuesj-577	84	14	n	n	CCONJ
cuesj-577	84	15	n	n	CCONJ
cuesj-577	84	16	n	n	ADV
cuesj-577	84	17	1	1	NUM
cuesj-577	84	18	if	if	SCONJ
cuesj-577	84	19	    	    	SPACE
cuesj-577	84	20	0	0	NUM
cuesj-577	84	21	0	0	NUM
cuesj-577	84	22	 	 	SPACE
cuesj-577	84	23	if	if	SCONJ
cuesj-577	84	24	  	  	SPACE
cuesj-577	84	25	0	0	NUM
cuesj-577	84	26	1	1	NUM
cuesj-577	84	27	if	if	SCONJ
cuesj-577	84	28	si	si	PROPN
cuesj-577	84	29	n	n	X
cuesj-577	84	30	[	[	PUNCT
cuesj-577	84	31	]	]	X
cuesj-577	84	32	  	  	SPACE
cuesj-577	84	33	g	g	NOUN
cuesj-577	84	34	  	  	SPACE
cuesj-577	84	35	0	0	PUNCT
cuesj-577	85	1			X
cuesj-577	85	2			X
cuesj-577	86	1			X
cuesj-577	86	2			X
cuesj-577	86	3	+	+	CCONJ
cuesj-577	86	4	>	>	PUNCT
cuesj-577	86	5			PROPN
cuesj-577	86	6			PROPN
cuesj-577	86	7			NUM
cuesj-577	86	8	=	=	NUM
cuesj-577	86	9			PROPN
cuesj-577	86	10	−	−	X
cuesj-577	86	11	=	=	SYM
cuesj-577	86	12	<	<	X
cuesj-577	86	13			PROPN
cuesj-577	86	14	(	(	PUNCT
cuesj-577	86	15	12	12	NUM
cuesj-577	86	16	)	)	PUNCT
cuesj-577	86	17	(	(	PUNCT
cuesj-577	86	18	)	)	PUNCT
cuesj-577	86	19	(	(	PUNCT
cuesj-577	86	20	)	)	PUNCT
cuesj-577	86	21	nn	nn	PROPN
cuesj-577	86	22	n	n	CCONJ
cuesj-577	86	23	n	n	PROPN
cuesj-577	86	24	if	if	SCONJ
cuesj-577	86	25	 	 	SPACE
cuesj-577	86	26	abs	ab	NOUN
cuesj-577	86	27	(	(	PUNCT
cuesj-577	86	28	)	)	PUNCT
cuesj-577	86	29	  	  	SPACE
cuesj-577	86	30	)	)	PUNCT
cuesj-577	86	31	  	  	SPACE
cuesj-577	86	32	0(abs	0(ab	NOUN
cuesj-577	86	33	(	(	PUNCT
cuesj-577	86	34	)	)	PUNCT
cuesj-577	86	35	  	  	SPACE
cuesj-577	86	36	)	)	PUNCT
cuesj-577	86	37	(	(	PUNCT
cuesj-577	86	38	abs	ab	NOUN
cuesj-577	86	39	(	(	PUNCT
cuesj-577	86	40	)	)	PUNCT
cuesj-577	86	41	if	if	SCONJ
cuesj-577	86	42	 	 	SPACE
cuesj-577	86	43	abs	ab	NOUN
cuesj-577	86	44	(	(	PUNCT
cuesj-577	86	45	)	)	PUNCT
cuesj-577	86	46	    	    	SPACE
cuesj-577	86	47	00	00	PUNCT
cuesj-577	87	1			PROPN
cuesj-577	87	2			NOUN
cuesj-577	87	3			NUM
cuesj-577	87	4			PROPN
cuesj-577	87	5			NUM
cuesj-577	87	6			X
cuesj-577	87	7	+	+	PROPN
cuesj-577	87	8			PROPN
cuesj-577	87	9	−	−	PRON
cuesj-577	87	10	≥−	≥−	PROPN
cuesj-577	87	11			PROPN
cuesj-577	87	12	−	−	NOUN
cuesj-577	87	13	=	=	PUNCT
cuesj-577	87	14	<	<	X
cuesj-577	87	15			PROPN
cuesj-577	87	16	(	(	PUNCT
cuesj-577	87	17	13	13	NUM
cuesj-577	87	18	)	)	PUNCT
cuesj-577	87	19	soft	soft	ADJ
cuesj-577	87	20	thresholding	thresholding	NOUN
cuesj-577	87	21	brings	bring	VERB
cuesj-577	87	22	all	all	DET
cuesj-577	87	23	coefficients	coefficient	NOUN
cuesj-577	87	24	to	to	ADP
cuesj-577	87	25	zero	zero	NUM
cuesj-577	87	26	when	when	SCONJ
cuesj-577	87	27	the	the	DET
cuesj-577	87	28	wavelet	wavelet	NOUN
cuesj-577	87	29	coefficient	coefficient	NOUN
cuesj-577	87	30	is	be	AUX
cuesj-577	87	31	less	less	ADJ
cuesj-577	87	32	than	than	ADP
cuesj-577	87	33	the	the	DET
cuesj-577	87	34	threshold	threshold	NOUN
cuesj-577	87	35	and	and	CCONJ
cuesj-577	87	36	when	when	SCONJ
cuesj-577	87	37	the	the	DET
cuesj-577	87	38	figure	figure	NOUN
cuesj-577	87	39	2	2	NUM
cuesj-577	87	40	:	:	PUNCT
cuesj-577	87	41	the	the	DET
cuesj-577	87	42	scaling	scale	VERB
cuesj-577	87	43	function	function	NOUN
cuesj-577	87	44	and	and	CCONJ
cuesj-577	87	45	db2	db2	PROPN
cuesj-577	87	46	wavelet	wavelet	NOUN
cuesj-577	87	47	figure	figure	NOUN
cuesj-577	87	48	1	1	NUM
cuesj-577	87	49	:	:	PUNCT
cuesj-577	87	50	a	a	DET
cuesj-577	87	51	wave	wave	NOUN
cuesj-577	87	52	and	and	CCONJ
cuesj-577	87	53	a	a	DET
cuesj-577	87	54	wavelet	wavelet	NOUN
cuesj-577	87	55	hussein	hussein	NOUN
cuesj-577	87	56	:	:	PUNCT
cuesj-577	87	57	comparison	comparison	NOUN
cuesj-577	87	58	of	of	ADP
cuesj-577	87	59	time	time	NOUN
cuesj-577	87	60	series	series	NOUN
cuesj-577	87	61	models	model	NOUN
cuesj-577	87	62	before	before	ADP
cuesj-577	87	63	and	and	CCONJ
cuesj-577	87	64	after	after	ADP
cuesj-577	87	65	using	use	VERB
cuesj-577	87	66	wavelet	wavelet	NOUN
cuesj-577	87	67	shrinkage	shrinkage	NOUN
cuesj-577	87	68	filtering	filter	VERB
cuesj-577	87	69	35	35	NUM
cuesj-577	87	70	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-577	87	71	cuesj	cuesj	ADJ
cuesj-577	87	72	2022	2022	NUM
cuesj-577	87	73	,	,	PUNCT
cuesj-577	87	74	6	6	NUM
cuesj-577	87	75	(	(	PUNCT
cuesj-577	87	76	1	1	NUM
cuesj-577	87	77	):	):	PUNCT
cuesj-577	87	78	32	32	NUM
cuesj-577	87	79	-	-	SYM
cuesj-577	87	80	46	46	NUM
cuesj-577	87	81	coefficients	coefficient	NOUN
cuesj-577	87	82	are	be	AUX
cuesj-577	87	83	more	more	ADV
cuesj-577	87	84	significant	significant	ADJ
cuesj-577	87	85	than	than	ADP
cuesj-577	87	86	the	the	DET
cuesj-577	87	87	threshold	threshold	NOUN
cuesj-577	87	88	(	(	PUNCT
cuesj-577	87	89	η	η	PROPN
cuesj-577	87	90	)	)	PUNCT
cuesj-577	87	91	,	,	PUNCT
cuesj-577	87	92	they	they	PRON
cuesj-577	87	93	persist	persist	VERB
cuesj-577	87	94	after	after	ADP
cuesj-577	87	95	reducing	reduce	VERB
cuesj-577	87	96	by	by	ADP
cuesj-577	87	97	the	the	DET
cuesj-577	87	98	amount	amount	NOUN
cuesj-577	87	99	of	of	ADP
cuesj-577	87	100	the	the	DET
cuesj-577	87	101	threshold	threshold	NOUN
cuesj-577	87	102	,	,	PUNCT
cuesj-577	87	103	while	while	SCONJ
cuesj-577	87	104	the	the	DET
cuesj-577	87	105	soft	soft	ADJ
cuesj-577	87	106	threshold	threshold	NOUN
cuesj-577	87	107	is	be	AUX
cuesj-577	87	108	a	a	DET
cuesj-577	87	109	continuous	continuous	ADJ
cuesj-577	87	110	function	function	NOUN
cuesj-577	87	111	is	be	AUX
cuesj-577	87	112	what	what	PRON
cuesj-577	87	113	the	the	DET
cuesj-577	87	114	statement	statement	NOUN
cuesj-577	87	115	of	of	ADP
cuesj-577	87	116	“	"	PUNCT
cuesj-577	87	117	shrink	shrink	VERB
cuesj-577	87	118	or	or	CCONJ
cuesj-577	87	119	kill	kill	VERB
cuesj-577	87	120	”	"	PUNCT
cuesj-577	87	121	interprets	interpret	VERB
cuesj-577	87	122	.	.	PUNCT
cuesj-577	88	1	this	this	PRON
cuesj-577	88	2	provides	provide	VERB
cuesj-577	88	3	the	the	DET
cuesj-577	88	4	results	result	NOUN
cuesj-577	88	5	of	of	ADP
cuesj-577	88	6	the	the	DET
cuesj-577	88	7	wavelet	wavelet	NOUN
cuesj-577	88	8	thresholding	thresholding	NOUN
cuesj-577	88	9	estimator	estimator	NOUN
cuesj-577	88	10	.	.	PUNCT
cuesj-577	89	1	for	for	ADP
cuesj-577	89	2	small	small	ADJ
cuesj-577	89	3	samples	sample	NOUN
cuesj-577	89	4	,	,	PUNCT
cuesj-577	89	5	hard	hard	ADJ
cuesj-577	89	6	thresholding	thresholding	NOUN
cuesj-577	89	7	has	have	VERB
cuesj-577	89	8	lower	low	ADJ
cuesj-577	89	9	mean	mean	ADJ
cuesj-577	89	10	square	square	ADJ
cuesj-577	89	11	error	error	NOUN
cuesj-577	89	12	and	and	CCONJ
cuesj-577	89	13	less	less	ADJ
cuesj-577	89	14	sensitivity	sensitivity	NOUN
cuesj-577	89	15	to	to	ADP
cuesj-577	89	16	small	small	ADJ
cuesj-577	89	17	noises	noise	NOUN
cuesj-577	89	18	in	in	ADP
cuesj-577	89	19	the	the	DET
cuesj-577	89	20	data	datum	NOUN
cuesj-577	89	21	.	.	PUNCT
cuesj-577	90	1	soft	soft	ADJ
cuesj-577	90	2	thresholding	thresholding	NOUN
cuesj-577	90	3	has	have	VERB
cuesj-577	90	4	negligible	negligible	ADJ
cuesj-577	90	5	deviation	deviation	NOUN
cuesj-577	90	6	and	and	CCONJ
cuesj-577	90	7	an	an	DET
cuesj-577	90	8	overall	overall	ADJ
cuesj-577	90	9	mean	mean	ADJ
cuesj-577	90	10	square	square	ADJ
cuesj-577	90	11	error	error	NOUN
cuesj-577	90	12	as	as	SCONJ
cuesj-577	90	13	shown	show	VERB
cuesj-577	90	14	in	in	ADP
cuesj-577	90	15	figure	figure	NOUN
cuesj-577	90	16	3	3	NUM
cuesj-577	90	17	.	.	NOUN
cuesj-577	90	18	time	time	NOUN
cuesj-577	90	19	series	series	PROPN
cuesj-577	90	20	models	model	NOUN
cuesj-577	90	21	building	build	VERB
cuesj-577	90	22	procedure	procedure	NOUN
cuesj-577	90	23	in	in	ADP
cuesj-577	90	24	the	the	DET
cuesj-577	90	25	estimation	estimation	NOUN
cuesj-577	90	26	phase	phase	NOUN
cuesj-577	90	27	,	,	PUNCT
cuesj-577	90	28	several	several	ADJ
cuesj-577	90	29	models	model	NOUN
cuesj-577	90	30	are	be	AUX
cuesj-577	90	31	tentatively	tentatively	ADV
cuesj-577	90	32	selected	select	VERB
cuesj-577	90	33	and	and	CCONJ
cuesj-577	90	34	then	then	ADV
cuesj-577	90	35	the	the	DET
cuesj-577	90	36	values	value	NOUN
cuesj-577	90	37	of	of	ADP
cuesj-577	90	38	the	the	DET
cuesj-577	90	39	corrected	correct	VERB
cuesj-577	90	40	akaike	akaike	ADJ
cuesj-577	90	41	information	information	NOUN
cuesj-577	90	42	criterion	criterion	NOUN
cuesj-577	90	43	(	(	PUNCT
cuesj-577	90	44	aic	aic	PROPN
cuesj-577	90	45	)	)	PUNCT
cuesj-577	90	46	(	(	PUNCT
cuesj-577	90	47	hurvich	hurvich	PROPN
cuesj-577	90	48	and	and	CCONJ
cuesj-577	90	49	tsai	tsai	PROPN
cuesj-577	90	50	,	,	PUNCT
cuesj-577	90	51	1989	1989	NUM
cuesj-577	90	52	)	)	PUNCT
cuesj-577	90	53	and	and	CCONJ
cuesj-577	90	54	the	the	DET
cuesj-577	90	55	schwarz	schwarz	PROPN
cuesj-577	90	56	bayesian	bayesian	NOUN
cuesj-577	90	57	information	information	NOUN
cuesj-577	90	58	criterion	criterion	NOUN
cuesj-577	90	59	(	(	PUNCT
cuesj-577	90	60	sbic	sbic	ADJ
cuesj-577	90	61	)	)	PUNCT
cuesj-577	90	62	and	and	CCONJ
cuesj-577	90	63	hannan	hannan	PROPN
cuesj-577	90	64	–	–	PUNCT
cuesj-577	90	65	quinn	quinn	NOUN
cuesj-577	90	66	information	information	NOUN
cuesj-577	90	67	criterion	criterion	NOUN
cuesj-577	90	68	(	(	PUNCT
cuesj-577	90	69	hqic	hqic	NOUN
cuesj-577	90	70	)	)	PUNCT
cuesj-577	90	71	proposed	propose	VERB
cuesj-577	90	72	by	by	ADP
cuesj-577	90	73	schwarz	schwarz	PROPN
cuesj-577	90	74	(	(	PUNCT
cuesj-577	90	75	1978	1978	NUM
cuesj-577	90	76	)	)	PUNCT
cuesj-577	90	77	(	(	PUNCT
cuesj-577	90	78	hannan	hannan	PROPN
cuesj-577	90	79	and	and	CCONJ
cuesj-577	90	80	quinn	quinn	PROPN
cuesj-577	90	81	,	,	PUNCT
cuesj-577	90	82	1979	1979	NUM
cuesj-577	90	83	)	)	PUNCT
cuesj-577	90	84	.	.	PUNCT
cuesj-577	91	1	the	the	DET
cuesj-577	91	2	model	model	NOUN
cuesj-577	91	3	system	system	NOUN
cuesj-577	91	4	that	that	PRON
cuesj-577	91	5	has	have	VERB
cuesj-577	91	6	the	the	DET
cuesj-577	91	7	minimum	minimum	ADJ
cuesj-577	91	8	aic	aic	PROPN
cuesj-577	91	9	,	,	PUNCT
cuesj-577	91	10	sbic	sbic	ADJ
cuesj-577	91	11	,	,	PUNCT
cuesj-577	91	12	and	and	CCONJ
cuesj-577	91	13	hqic	hqic	ADJ
cuesj-577	91	14	values	value	NOUN
cuesj-577	91	15	among	among	ADP
cuesj-577	91	16	other	other	ADJ
cuesj-577	91	17	model	model	NOUN
cuesj-577	91	18	systems	system	NOUN
cuesj-577	91	19	is	be	AUX
cuesj-577	91	20	selected	select	VERB
cuesj-577	91	21	as	as	ADP
cuesj-577	91	22	the	the	DET
cuesj-577	91	23	most	most	ADV
cuesj-577	91	24	suitable	suitable	ADJ
cuesj-577	91	25	model	model	NOUN
cuesj-577	91	26	.	.	PUNCT
cuesj-577	92	1	equation	equation	NOUN
cuesj-577	92	2	(	(	PUNCT
cuesj-577	92	3	14	14	NUM
cuesj-577	92	4	)	)	PUNCT
cuesj-577	92	5	describes	describe	VERB
cuesj-577	92	6	the	the	DET
cuesj-577	92	7	formula	formula	NOUN
cuesj-577	92	8	for	for	ADP
cuesj-577	92	9	calculating	calculate	VERB
cuesj-577	92	10	aic	aic	PROPN
cuesj-577	92	11	,	,	PUNCT
cuesj-577	92	12	while	while	SCONJ
cuesj-577	92	13	equation	equation	NOUN
cuesj-577	92	14	(	(	PUNCT
cuesj-577	92	15	15	15	NUM
cuesj-577	92	16	)	)	PUNCT
cuesj-577	92	17	describes	describe	VERB
cuesj-577	92	18	the	the	DET
cuesj-577	92	19	formula	formula	NOUN
cuesj-577	92	20	for	for	ADP
cuesj-577	92	21	sbic	sbic	ADJ
cuesj-577	92	22	and	and	CCONJ
cuesj-577	92	23	equation	equation	NOUN
cuesj-577	92	24	(	(	PUNCT
cuesj-577	92	25	16	16	NUM
cuesj-577	92	26	)	)	PUNCT
cuesj-577	92	27	hqic.[20	hqic.[20	PROPN
cuesj-577	92	28	]	]	PUNCT
cuesj-577	93	1	max	max	PROPN
cuesj-577	93	2	2n	2n	NUM
cuesj-577	93	3	aic	aic	PROPN
cuesj-577	93	4	    	    	SPACE
cuesj-577	93	5	k	k	PROPN
cuesj-577	93	6	2	2	X
cuesj-577	93	7	ln|l	ln|l	VERB
cuesj-577	93	8	|	|	ADV
cuesj-577	93	9	  	  	SPACE
cuesj-577	93	10	n	n	CCONJ
cuesj-577	93	11	k	k	PROPN
cuesj-577	93	12	1	1	NUM
cuesj-577	93	13			NOUN
cuesj-577	93	14	=	=	ADP
cuesj-577	93	15	×	×	NOUN
cuesj-577	93	16	−	−	NOUN
cuesj-577	93	17	×	×	NOUN
cuesj-577	93	18	−	−	NUM
cuesj-577	93	19	−	−	NOUN
cuesj-577	93	20			PUNCT
cuesj-577	93	21	(	(	PUNCT
cuesj-577	93	22	14	14	NUM
cuesj-577	93	23	)	)	PUNCT
cuesj-577	93	24	]	]	PUNCT
cuesj-577	93	25	sbic	sbic	NOUN
cuesj-577	93	26	=	=	PUNCT
cuesj-577	93	27	ln	ln	NOUN
cuesj-577	94	1	[	[	X
cuesj-577	94	2	n]×k−2×ln	n]×k−2×ln	NOUN
cuesj-577	94	3	|lmax|	|lmax|	NOUN
cuesj-577	94	4	(	(	PUNCT
cuesj-577	94	5	15	15	NUM
cuesj-577	94	6	)	)	PUNCT
cuesj-577	94	7	hqic	hqic	NOUN
cuesj-577	94	8	=	=	NOUN
cuesj-577	94	9	2ln	2ln	NOUN
cuesj-577	95	1	[	[	X
cuesj-577	95	2	ln	ln	NOUN
cuesj-577	96	1	[	[	X
cuesj-577	96	2	n]]×k−2×ln|lmax|	n]]×k−2×ln|lmax|	INTJ
cuesj-577	96	3	(	(	PUNCT
cuesj-577	96	4	16	16	NUM
cuesj-577	96	5	)	)	PUNCT
cuesj-577	96	6	where	where	SCONJ
cuesj-577	96	7	•	•	NOUN
cuesj-577	96	8	n	n	NOUN
cuesj-577	96	9	=	=	NOUN
cuesj-577	96	10	sample	sample	NOUN
cuesj-577	96	11	size	size	NOUN
cuesj-577	96	12	(	(	PUNCT
cuesj-577	96	13	e.g.	e.g.	ADV
cuesj-577	96	14	,	,	PUNCT
cuesj-577	96	15	data	datum	NOUN
cuesj-577	96	16	values	value	NOUN
cuesj-577	96	17	,	,	PUNCT
cuesj-577	96	18	frequencies	frequency	NOUN
cuesj-577	96	19	)	)	PUNCT
cuesj-577	96	20	•	•	NUM
cuesj-577	96	21	k	k	NOUN
cuesj-577	96	22	=	=	PUNCT
cuesj-577	96	23	parameter	parameter	NOUN
cuesj-577	96	24	estimated	estimate	VERB
cuesj-577	96	25	(	(	PUNCT
cuesj-577	96	26	e.g.	e.g.	ADV
cuesj-577	96	27	,	,	PUNCT
cuesj-577	96	28	the	the	DET
cuesj-577	96	29	normal	normal	ADJ
cuesj-577	96	30	distribution	distribution	NOUN
cuesj-577	96	31	has	have	VERB
cuesj-577	96	32	2	2	NUM
cuesj-577	96	33	:	:	PUNCT
cuesj-577	96	34	µ	µ	NUM
cuesj-577	96	35	and	and	CCONJ
cuesj-577	96	36	σ	σ	NUM
cuesj-577	96	37	)	)	PUNCT
cuesj-577	96	38	•	•	NOUN
cuesj-577	96	39	lmax	lmax	NOUN
cuesj-577	96	40	=	=	PRON
cuesj-577	96	41	use	use	VERB
cuesj-577	96	42	maximized	maximize	VERB
cuesj-577	96	43	value	value	NOUN
cuesj-577	96	44	of	of	ADP
cuesj-577	96	45	the	the	DET
cuesj-577	96	46	log	log	NOUN
cuesj-577	96	47	-	-	PUNCT
cuesj-577	96	48	likelihood	likelihood	NOUN
cuesj-577	96	49	to	to	PART
cuesj-577	96	50	calculate	calculate	VERB
cuesj-577	96	51	the	the	DET
cuesj-577	96	52	model	model	NOUN
cuesj-577	96	53	by	by	ADP
cuesj-577	96	54	the	the	PRON
cuesj-577	96	55	(	(	PUNCT
cuesj-577	96	56	i.e.	i.e.	X
cuesj-577	96	57	,	,	PUNCT
cuesj-577	96	58	fitting	fit	VERB
cuesj-577	96	59	the	the	DET
cuesj-577	96	60	parameters	parameter	NOUN
cuesj-577	96	61	by	by	ADP
cuesj-577	96	62	mle	mle	NOUN
cuesj-577	96	63	and	and	CCONJ
cuesj-577	96	64	record	record	VERB
cuesj-577	96	65	the	the	DET
cuesj-577	96	66	natural	natural	ADJ
cuesj-577	96	67	log	log	NOUN
cuesj-577	96	68	of	of	ADP
cuesj-577	96	69	the	the	DET
cuesj-577	96	70	likelihood	likelihood	NOUN
cuesj-577	96	71	)	)	PUNCT
cuesj-577	96	72	results	result	NOUN
cuesj-577	96	73	and	and	CCONJ
cuesj-577	96	74	discussion	discussion	NOUN
cuesj-577	96	75	data	datum	NOUN
cuesj-577	96	76	preparation	preparation	NOUN
cuesj-577	96	77	concerns	concern	NOUN
cuesj-577	96	78	transformation	transformation	NOUN
cuesj-577	96	79	and	and	CCONJ
cuesj-577	96	80	differentiation	differentiation	NOUN
cuesj-577	96	81	.	.	PUNCT
cuesj-577	97	1	transformations	transformation	NOUN
cuesj-577	97	2	of	of	ADP
cuesj-577	97	3	the	the	DET
cuesj-577	97	4	data	datum	NOUN
cuesj-577	97	5	(	(	PUNCT
cuesj-577	97	6	such	such	ADJ
cuesj-577	97	7	as	as	ADP
cuesj-577	97	8	square	square	ADJ
cuesj-577	97	9	roots	root	NOUN
cuesj-577	97	10	,	,	PUNCT
cuesj-577	97	11	logarithms	logarithm	NOUN
cuesj-577	97	12	,	,	PUNCT
cuesj-577	97	13	etc	etc	X
cuesj-577	97	14	.	.	X
cuesj-577	97	15	)	)	PUNCT
cuesj-577	97	16	are	be	AUX
cuesj-577	97	17	useful	useful	ADJ
cuesj-577	97	18	to	to	PART
cuesj-577	97	19	stabilize	stabilize	VERB
cuesj-577	97	20	the	the	DET
cuesj-577	97	21	variance	variance	NOUN
cuesj-577	97	22	in	in	ADP
cuesj-577	97	23	a	a	DET
cuesj-577	97	24	time	time	NOUN
cuesj-577	97	25	series	series	NOUN
cuesj-577	97	26	;	;	PUNCT
cuesj-577	97	27	as	as	SCONJ
cuesj-577	97	28	the	the	DET
cuesj-577	97	29	variation	variation	NOUN
cuesj-577	97	30	changes	change	VERB
cuesj-577	97	31	with	with	ADP
cuesj-577	97	32	class	class	NOUN
cuesj-577	97	33	,	,	PUNCT
cuesj-577	97	34	the	the	DET
cuesj-577	97	35	data	datum	NOUN
cuesj-577	97	36	are	be	AUX
cuesj-577	97	37	differentiated	differentiate	VERB
cuesj-577	97	38	until	until	SCONJ
cuesj-577	97	39	there	there	PRON
cuesj-577	97	40	are	be	VERB
cuesj-577	97	41	no	no	DET
cuesj-577	97	42	obvious	obvious	ADJ
cuesj-577	97	43	patterns	pattern	NOUN
cuesj-577	97	44	,	,	PUNCT
cuesj-577	97	45	such	such	ADJ
cuesj-577	97	46	as	as	ADP
cuesj-577	97	47	trend	trend	NOUN
cuesj-577	97	48	or	or	CCONJ
cuesj-577	97	49	seasonality	seasonality	NOUN
cuesj-577	97	50	,	,	PUNCT
cuesj-577	97	51	in	in	ADP
cuesj-577	97	52	the	the	DET
cuesj-577	97	53	data	datum	NOUN
cuesj-577	97	54	.	.	PUNCT
cuesj-577	98	1	differentiating	differentiate	VERB
cuesj-577	98	2	means	mean	NOUN
cuesj-577	98	3	taking	take	VERB
cuesj-577	98	4	the	the	DET
cuesj-577	98	5	difference	difference	NOUN
cuesj-577	98	6	between	between	ADP
cuesj-577	98	7	consecutive	consecutive	ADJ
cuesj-577	98	8	observations	observation	NOUN
cuesj-577	98	9	or	or	CCONJ
cuesj-577	98	10	between	between	ADP
cuesj-577	98	11	observations	observation	NOUN
cuesj-577	98	12	in	in	ADP
cuesj-577	98	13	one	one	NUM
cuesj-577	98	14	part	part	NOUN
cuesj-577	98	15	of	of	ADP
cuesj-577	98	16	the	the	DET
cuesj-577	98	17	year	year	NOUN
cuesj-577	98	18	.	.	PUNCT
cuesj-577	99	1	the	the	DET
cuesj-577	99	2	differentiated	differentiated	ADJ
cuesj-577	99	3	data	datum	NOUN
cuesj-577	99	4	are	be	AUX
cuesj-577	99	5	often	often	ADV
cuesj-577	99	6	easier	easy	ADJ
cuesj-577	99	7	to	to	PART
cuesj-577	99	8	model	model	VERB
cuesj-577	99	9	than	than	ADP
cuesj-577	99	10	the	the	DET
cuesj-577	99	11	actual	actual	ADJ
cuesj-577	99	12	data	datum	NOUN
cuesj-577	99	13	.	.	PUNCT
cuesj-577	100	1	the	the	DET
cuesj-577	100	2	data	datum	NOUN
cuesj-577	100	3	in	in	ADP
cuesj-577	100	4	table	table	NOUN
cuesj-577	100	5	2	2	NUM
cuesj-577	100	6	were	be	AUX
cuesj-577	100	7	obtained	obtain	VERB
cuesj-577	100	8	from	from	ADP
cuesj-577	100	9	the	the	DET
cuesj-577	100	10	eia	eia	PROPN
cuesj-577	100	11	u.s	u.s	PROPN
cuesj-577	100	12	.	.	PROPN
cuesj-577	100	13	energy	energy	PROPN
cuesj-577	100	14	information	information	PROPN
cuesj-577	100	15	administration	administration	NOUN
cuesj-577	100	16	during	during	ADP
cuesj-577	100	17	(	(	PUNCT
cuesj-577	100	18	1981–2019	1981–2019	NUM
cuesj-577	100	19	)	)	PUNCT
cuesj-577	100	20	obtained	obtain	VERB
cuesj-577	100	21	and	and	CCONJ
cuesj-577	100	22	used	use	VERB
cuesj-577	100	23	statgraphics19	statgraphics19	PROPN
cuesj-577	100	24	and	and	CCONJ
cuesj-577	100	25	matlab	matlab	PROPN
cuesj-577	100	26	for	for	ADP
cuesj-577	100	27	data	datum	NOUN
cuesj-577	100	28	analysis	analysis	NOUN
cuesj-577	100	29	.	.	PUNCT
cuesj-577	101	1	randomness	randomness	NOUN
cuesj-577	101	2	test	test	NOUN
cuesj-577	101	3	first	first	ADV
cuesj-577	101	4	,	,	PUNCT
cuesj-577	101	5	the	the	DET
cuesj-577	101	6	randomness	randomness	NOUN
cuesj-577	101	7	test	test	NOUN
cuesj-577	101	8	of	of	ADP
cuesj-577	101	9	gas	gas	NOUN
cuesj-577	101	10	production	production	NOUN
cuesj-577	101	11	in	in	ADP
cuesj-577	101	12	iraq	iraq	PROPN
cuesj-577	101	13	should	should	AUX
cuesj-577	101	14	be	be	AUX
cuesj-577	101	15	done	do	VERB
cuesj-577	101	16	with	with	ADP
cuesj-577	101	17	the	the	DET
cuesj-577	101	18	box	box	PROPN
cuesj-577	101	19	-	-	PUNCT
cuesj-577	101	20	pierce	pierce	PROPN
cuesj-577	101	21	test	test	NOUN
cuesj-577	101	22	.	.	PUNCT
cuesj-577	102	1	the	the	DET
cuesj-577	102	2	null	null	ADJ
cuesj-577	102	3	hypothesis	hypothesis	NOUN
cuesj-577	102	4	states	state	VERB
cuesj-577	102	5	that	that	SCONJ
cuesj-577	102	6	the	the	DET
cuesj-577	102	7	time	time	NOUN
cuesj-577	102	8	series	series	NOUN
cuesj-577	102	9	is	be	AUX
cuesj-577	102	10	random	random	ADJ
cuesj-577	102	11	,	,	PUNCT
cuesj-577	102	12	as	as	SCONJ
cuesj-577	102	13	opposed	oppose	VERB
cuesj-577	102	14	to	to	ADP
cuesj-577	102	15	the	the	DET
cuesj-577	102	16	alternative	alternative	ADJ
cuesj-577	102	17	hypothesis	hypothesis	NOUN
cuesj-577	102	18	of	of	ADP
cuesj-577	102	19	non	non	NOUN
cuesj-577	102	20	-	-	NOUN
cuesj-577	102	21	randomness	randomness	NOUN
cuesj-577	102	22	to	to	PART
cuesj-577	102	23	learn	learn	VERB
cuesj-577	102	24	that	that	SCONJ
cuesj-577	102	25	the	the	DET
cuesj-577	102	26	data	datum	NOUN
cuesj-577	102	27	have	have	VERB
cuesj-577	102	28	a	a	DET
cuesj-577	102	29	specific	specific	ADJ
cuesj-577	102	30	behavior	behavior	NOUN
cuesj-577	102	31	rather	rather	ADV
cuesj-577	102	32	than	than	ADP
cuesj-577	102	33	a	a	DET
cuesj-577	102	34	random	random	ADJ
cuesj-577	102	35	one	one	NUM
cuesj-577	102	36	.	.	PUNCT
cuesj-577	103	1	as	as	SCONJ
cuesj-577	103	2	described	describe	VERB
cuesj-577	103	3	in	in	ADP
cuesj-577	103	4	table	table	NOUN
cuesj-577	103	5	3	3	NUM
cuesj-577	103	6	for	for	ADP
cuesj-577	103	7	time	time	NOUN
cuesj-577	103	8	series	series	NOUN
cuesj-577	103	9	;	;	PUNCT
cuesj-577	103	10	as	as	ADP
cuesj-577	103	11	p	p	X
cuesj-577	103	12	<	<	X
cuesj-577	103	13	0.05	0.05	NUM
cuesj-577	103	14	for	for	ADP
cuesj-577	103	15	each	each	DET
cuesj-577	103	16	series	series	NOUN
cuesj-577	103	17	,	,	PUNCT
cuesj-577	103	18	therefore	therefore	ADV
cuesj-577	103	19	,	,	PUNCT
cuesj-577	103	20	null	null	ADJ
cuesj-577	103	21	hypotheses	hypothesis	NOUN
cuesj-577	103	22	h0	h0	VERB
cuesj-577	103	23	:	:	PUNCT
cuesj-577	103	24	the	the	DET
cuesj-577	103	25	series	series	NOUN
cuesj-577	103	26	is	be	AUX
cuesj-577	103	27	random	random	ADJ
cuesj-577	103	28	versus	versus	ADP
cuesj-577	103	29	h1	h1	PROPN
cuesj-577	103	30	:	:	PUNCT
cuesj-577	103	31	the	the	DET
cuesj-577	103	32	series	series	NOUN
cuesj-577	103	33	is	be	AUX
cuesj-577	103	34	not	not	PART
cuesj-577	103	35	random	random	ADJ
cuesj-577	103	36	the	the	DET
cuesj-577	103	37	test	test	NOUN
cuesj-577	103	38	depends	depend	VERB
cuesj-577	103	39	on	on	ADP
cuesj-577	103	40	the	the	DET
cuesj-577	103	41	sum	sum	NOUN
cuesj-577	103	42	of	of	ADP
cuesj-577	103	43	squares	square	NOUN
cuesj-577	103	44	(	(	PUNCT
cuesj-577	103	45	s.s	s.s	PROPN
cuesj-577	103	46	)	)	PUNCT
cuesj-577	103	47	of	of	ADP
cuesj-577	103	48	the	the	DET
cuesj-577	103	49	first	first	ADJ
cuesj-577	103	50	24	24	NUM
cuesj-577	103	51	autocorrelation	autocorrelation	NOUN
cuesj-577	103	52	coefficients	coefficient	NOUN
cuesj-577	103	53	.	.	PUNCT
cuesj-577	104	1	because	because	SCONJ
cuesj-577	104	2	p	p	NOUN
cuesj-577	104	3	-	-	PUNCT
cuesj-577	104	4	value	value	NOUN
cuesj-577	104	5	for	for	ADP
cuesj-577	104	6	this	this	DET
cuesj-577	104	7	test	test	NOUN
cuesj-577	104	8	is	be	AUX
cuesj-577	104	9	2.20016e-9	2.20016e-9	NUM
cuesj-577	104	10	,	,	PUNCT
cuesj-577	104	11	which	which	PRON
cuesj-577	104	12	is	be	AUX
cuesj-577	104	13	less	less	ADJ
cuesj-577	104	14	than	than	ADP
cuesj-577	104	15	α	α	NOUN
cuesj-577	104	16	=	=	NOUN
cuesj-577	104	17	0.05	0.05	NUM
cuesj-577	104	18	,	,	PUNCT
cuesj-577	104	19	we	we	PRON
cuesj-577	104	20	can	can	AUX
cuesj-577	104	21	reject	reject	VERB
cuesj-577	104	22	the	the	DET
cuesj-577	104	23	hypothesis	hypothesis	NOUN
cuesj-577	104	24	that	that	PRON
cuesj-577	104	25	the	the	DET
cuesj-577	104	26	series	series	NOUN
cuesj-577	104	27	is	be	AUX
cuesj-577	104	28	random	random	ADJ
cuesj-577	104	29	with	with	ADP
cuesj-577	104	30	a	a	DET
cuesj-577	104	31	95	95	NUM
cuesj-577	104	32	%	%	NOUN
cuesj-577	104	33	confidence	confidence	NOUN
cuesj-577	104	34	level	level	NOUN
cuesj-577	104	35	.	.	PUNCT
cuesj-577	105	1	data	datum	NOUN
cuesj-577	105	2	transformation	transformation	NOUN
cuesj-577	105	3	after	after	ADP
cuesj-577	105	4	proving	prove	VERB
cuesj-577	105	5	the	the	DET
cuesj-577	105	6	non	non	NOUN
cuesj-577	105	7	-	-	NOUN
cuesj-577	105	8	randomness	randomness	NOUN
cuesj-577	105	9	of	of	ADP
cuesj-577	105	10	the	the	DET
cuesj-577	105	11	natural	natural	ADJ
cuesj-577	105	12	gas	gas	NOUN
cuesj-577	105	13	production	production	NOUN
cuesj-577	105	14	time	time	NOUN
cuesj-577	105	15	series	series	NOUN
cuesj-577	105	16	,	,	PUNCT
cuesj-577	105	17	so	so	ADV
cuesj-577	105	18	to	to	PART
cuesj-577	105	19	overcome	overcome	VERB
cuesj-577	105	20	this	this	DET
cuesj-577	105	21	behavior	behavior	NOUN
cuesj-577	105	22	,	,	PUNCT
cuesj-577	105	23	we	we	PRON
cuesj-577	105	24	will	will	AUX
cuesj-577	105	25	try	try	VERB
cuesj-577	105	26	to	to	PART
cuesj-577	105	27	transform	transform	VERB
cuesj-577	105	28	the	the	DET
cuesj-577	105	29	data	datum	NOUN
cuesj-577	105	30	series	series	NOUN
cuesj-577	105	31	.	.	PUNCT
cuesj-577	106	1	the	the	DET
cuesj-577	106	2	data	datum	NOUN
cuesj-577	106	3	were	be	AUX
cuesj-577	106	4	transformed	transform	VERB
cuesj-577	106	5	,	,	PUNCT
cuesj-577	106	6	for	for	ADP
cuesj-577	106	7	instance	instance	NOUN
cuesj-577	106	8	,	,	PUNCT
cuesj-577	106	9	the	the	DET
cuesj-577	106	10	seasonal	seasonal	ADJ
cuesj-577	106	11	difference	difference	NOUN
cuesj-577	106	12	of	of	ADP
cuesj-577	106	13	order	order	NOUN
cuesj-577	106	14	one	one	NUM
cuesj-577	106	15	.	.	PUNCT
cuesj-577	107	1	then	then	ADV
cuesj-577	107	2	,	,	PUNCT
cuesj-577	107	3	the	the	DET
cuesj-577	107	4	series	series	NOUN
cuesj-577	107	5	was	be	AUX
cuesj-577	107	6	tested	test	VERB
cuesj-577	107	7	again	again	ADV
cuesj-577	107	8	for	for	ADP
cuesj-577	107	9	the	the	DET
cuesj-577	107	10	existence	existence	NOUN
cuesj-577	107	11	of	of	ADP
cuesj-577	107	12	randomness	randomness	NOUN
cuesj-577	107	13	.	.	PUNCT
cuesj-577	108	1	the	the	DET
cuesj-577	108	2	hypothesis	hypothesis	NOUN
cuesj-577	108	3	was	be	AUX
cuesj-577	108	4	accepted	accept	VERB
cuesj-577	108	5	when	when	SCONJ
cuesj-577	108	6	p	p	NOUN
cuesj-577	108	7	>	>	X
cuesj-577	108	8	α=0.05	α=0.05	NOUN
cuesj-577	108	9	,	,	PUNCT
cuesj-577	108	10	as	as	SCONJ
cuesj-577	108	11	shown	show	VERB
cuesj-577	108	12	in	in	ADP
cuesj-577	108	13	table	table	NOUN
cuesj-577	108	14	4	4	NUM
cuesj-577	108	15	.	.	PUNCT
cuesj-577	109	1	the	the	DET
cuesj-577	109	2	test	test	NOUN
cuesj-577	109	3	is	be	AUX
cuesj-577	109	4	based	base	VERB
cuesj-577	109	5	on	on	ADP
cuesj-577	109	6	the	the	DET
cuesj-577	109	7	s.s	s.s	PROPN
cuesj-577	109	8	of	of	ADP
cuesj-577	109	9	the	the	DET
cuesj-577	109	10	first	first	ADJ
cuesj-577	109	11	24	24	NUM
cuesj-577	109	12	autocorrelation	autocorrelation	NOUN
cuesj-577	109	13	coefficients	coefficient	NOUN
cuesj-577	109	14	.	.	PUNCT
cuesj-577	110	1	because	because	SCONJ
cuesj-577	110	2	p	p	NOUN
cuesj-577	110	3	-	-	PUNCT
cuesj-577	110	4	value	value	NOUN
cuesj-577	110	5	for	for	ADP
cuesj-577	110	6	this	this	DET
cuesj-577	110	7	test	test	NOUN
cuesj-577	110	8	is	be	AUX
cuesj-577	110	9	0.275392	0.275392	NUM
cuesj-577	110	10	,	,	PUNCT
cuesj-577	110	11	which	which	PRON
cuesj-577	110	12	is	be	AUX
cuesj-577	110	13	greater	great	ADJ
cuesj-577	110	14	than	than	ADP
cuesj-577	110	15	or	or	CCONJ
cuesj-577	110	16	equal	equal	ADJ
cuesj-577	110	17	to	to	ADP
cuesj-577	110	18	α	α	NOUN
cuesj-577	110	19	=	=	NOUN
cuesj-577	110	20	0.05	0.05	NUM
cuesj-577	110	21	,	,	PUNCT
cuesj-577	110	22	we	we	PRON
cuesj-577	110	23	can	can	AUX
cuesj-577	110	24	accept	accept	VERB
cuesj-577	110	25	the	the	DET
cuesj-577	110	26	null	null	ADJ
cuesj-577	110	27	hypothesis	hypothesis	NOUN
cuesj-577	110	28	that	that	PRON
cuesj-577	110	29	the	the	DET
cuesj-577	110	30	series	series	NOUN
cuesj-577	110	31	is	be	AUX
cuesj-577	110	32	random	random	ADJ
cuesj-577	110	33	with	with	ADP
cuesj-577	110	34	a	a	DET
cuesj-577	110	35	95	95	NUM
cuesj-577	110	36	%	%	NOUN
cuesj-577	110	37	or	or	CCONJ
cuesj-577	110	38	higher	high	ADJ
cuesj-577	110	39	confidence	confidence	NOUN
cuesj-577	110	40	level	level	NOUN
cuesj-577	110	41	.	.	PUNCT
cuesj-577	111	1	time	time	NOUN
cuesj-577	111	2	series	series	PROPN
cuesj-577	111	3	plots	plot	VERB
cuesj-577	111	4	the	the	DET
cuesj-577	111	5	time	time	NOUN
cuesj-577	111	6	series	series	NOUN
cuesj-577	111	7	plots	plot	NOUN
cuesj-577	111	8	of	of	ADP
cuesj-577	111	9	the	the	DET
cuesj-577	111	10	dataset	dataset	NOUN
cuesj-577	111	11	(	(	PUNCT
cuesj-577	111	12	natural	natural	ADJ
cuesj-577	111	13	gas	gas	NOUN
cuesj-577	111	14	production	production	NOUN
cuesj-577	111	15	)	)	PUNCT
cuesj-577	111	16	is	be	AUX
cuesj-577	111	17	illustrated	illustrate	VERB
cuesj-577	111	18	.	.	PUNCT
cuesj-577	112	1	the	the	DET
cuesj-577	112	2	plot	plot	NOUN
cuesj-577	112	3	shows	show	VERB
cuesj-577	112	4	that	that	SCONJ
cuesj-577	112	5	the	the	DET
cuesj-577	112	6	data	datum	NOUN
cuesj-577	112	7	are	be	AUX
cuesj-577	112	8	clear	clear	ADJ
cuesj-577	112	9	of	of	ADP
cuesj-577	112	10	being	be	AUX
cuesj-577	112	11	nonstationary	nonstationary	ADJ
cuesj-577	112	12	in	in	ADP
cuesj-577	112	13	the	the	DET
cuesj-577	112	14	mean	mean	NOUN
cuesj-577	112	15	and	and	CCONJ
cuesj-577	112	16	in	in	ADP
cuesj-577	112	17	the	the	DET
cuesj-577	112	18	variance	variance	NOUN
cuesj-577	112	19	.	.	PUNCT
cuesj-577	113	1	seasonal	seasonal	ADJ
cuesj-577	113	2	and	and	CCONJ
cuesj-577	113	3	trend	trend	NOUN
cuesj-577	113	4	patterns	pattern	NOUN
cuesj-577	113	5	with	with	ADP
cuesj-577	113	6	increasingly	increasingly	ADV
cuesj-577	113	7	variation	variation	NOUN
cuesj-577	113	8	of	of	ADP
cuesj-577	113	9	variance	variance	NOUN
cuesj-577	113	10	because	because	SCONJ
cuesj-577	113	11	the	the	DET
cuesj-577	113	12	variation	variation	NOUN
cuesj-577	113	13	in	in	ADP
cuesj-577	113	14	the	the	DET
cuesj-577	113	15	magnitude	magnitude	NOUN
cuesj-577	113	16	of	of	ADP
cuesj-577	113	17	the	the	DET
cuesj-577	113	18	fluctuation	fluctuation	NOUN
cuesj-577	113	19	with	with	ADP
cuesj-577	113	20	time	time	NOUN
cuesj-577	113	21	is	be	AUX
cuesj-577	113	22	referred	refer	VERB
cuesj-577	113	23	to	to	ADP
cuesj-577	113	24	as	as	ADP
cuesj-577	113	25	non	non	ADJ
cuesj-577	113	26	-	-	ADJ
cuesj-577	113	27	stationary	stationary	ADJ
cuesj-577	113	28	in	in	ADP
cuesj-577	113	29	the	the	DET
cuesj-577	113	30	variance	variance	NOUN
cuesj-577	113	31	as	as	SCONJ
cuesj-577	113	32	shown	show	VERB
cuesj-577	113	33	in	in	ADP
cuesj-577	113	34	figure	figure	NOUN
cuesj-577	113	35	4	4	NUM
cuesj-577	113	36	.	.	PUNCT
cuesj-577	113	37	stationary	stationary	VERB
cuesj-577	113	38	the	the	DET
cuesj-577	113	39	time	time	NOUN
cuesj-577	113	40	series	series	PROPN
cuesj-577	113	41	plots	plot	NOUN
cuesj-577	113	42	of	of	ADP
cuesj-577	113	43	the	the	DET
cuesj-577	113	44	data	data	NOUN
cuesj-577	113	45	set	set	VERB
cuesj-577	113	46	(	(	PUNCT
cuesj-577	113	47	natural	natural	ADJ
cuesj-577	113	48	gas	gas	NOUN
cuesj-577	113	49	production	production	NOUN
cuesj-577	113	50	)	)	PUNCT
cuesj-577	113	51	are	be	AUX
cuesj-577	113	52	shown	show	VERB
cuesj-577	113	53	.	.	PUNCT
cuesj-577	114	1	the	the	DET
cuesj-577	114	2	plot	plot	NOUN
cuesj-577	114	3	shows	show	VERB
cuesj-577	114	4	that	that	SCONJ
cuesj-577	114	5	the	the	DET
cuesj-577	114	6	data	datum	NOUN
cuesj-577	114	7	are	be	AUX
cuesj-577	114	8	clearly	clearly	ADV
cuesj-577	114	9	nonstationary	nonstationary	ADJ
cuesj-577	114	10	in	in	ADP
cuesj-577	114	11	mean	mean	NOUN
cuesj-577	114	12	and	and	CCONJ
cuesj-577	114	13	variance	variance	NOUN
cuesj-577	114	14	.	.	PUNCT
cuesj-577	115	1	seasonal	seasonal	ADJ
cuesj-577	115	2	and	and	CCONJ
cuesj-577	115	3	trend	trend	NOUN
cuesj-577	115	4	patterns	pattern	NOUN
cuesj-577	115	5	with	with	ADP
cuesj-577	115	6	increasing	increase	VERB
cuesj-577	115	7	variation	variation	NOUN
cuesj-577	115	8	in	in	ADP
cuesj-577	115	9	variance	variance	NOUN
cuesj-577	115	10	as	as	ADP
cuesj-577	115	11	variation	variation	NOUN
cuesj-577	115	12	in	in	ADP
cuesj-577	115	13	magnitude	magnitude	NOUN
cuesj-577	115	14	of	of	ADP
cuesj-577	115	15	variation	variation	NOUN
cuesj-577	115	16	over	over	ADP
cuesj-577	115	17	time	time	NOUN
cuesj-577	115	18	are	be	AUX
cuesj-577	115	19	said	say	VERB
cuesj-577	115	20	to	to	PART
cuesj-577	115	21	be	be	AUX
cuesj-577	115	22	non	non	ADJ
cuesj-577	115	23	-	-	ADJ
cuesj-577	115	24	stationary	stationary	ADJ
cuesj-577	115	25	in	in	ADP
cuesj-577	115	26	variance	variance	NOUN
cuesj-577	115	27	,	,	PUNCT
cuesj-577	115	28	as	as	SCONJ
cuesj-577	115	29	shown	show	VERB
cuesj-577	115	30	in	in	ADP
cuesj-577	115	31	figure	figure	NOUN
cuesj-577	115	32	5	5	NUM
cuesj-577	115	33	.	.	PUNCT
cuesj-577	116	1	we	we	PRON
cuesj-577	116	2	examine	examine	VERB
cuesj-577	116	3	the	the	DET
cuesj-577	116	4	autocorrelation	autocorrelation	NOUN
cuesj-577	116	5	function	function	NOUN
cuesj-577	116	6	(	(	PUNCT
cuesj-577	116	7	acf	acf	PROPN
cuesj-577	116	8	)	)	PUNCT
cuesj-577	116	9	and	and	CCONJ
cuesj-577	116	10	the	the	DET
cuesj-577	116	11	partial	partial	ADJ
cuesj-577	116	12	acf	acf	NOUN
cuesj-577	116	13	(	(	PUNCT
cuesj-577	116	14	pacf	pacf	PROPN
cuesj-577	116	15	)	)	PUNCT
cuesj-577	116	16	for	for	ADP
cuesj-577	116	17	the	the	DET
cuesj-577	116	18	original	original	ADJ
cuesj-577	116	19	data	datum	NOUN
cuesj-577	116	20	to	to	PART
cuesj-577	116	21	determine	determine	VERB
cuesj-577	116	22	the	the	DET
cuesj-577	116	23	original	original	ADJ
cuesj-577	116	24	order	order	NOUN
cuesj-577	116	25	of	of	ADP
cuesj-577	116	26	the	the	DET
cuesj-577	116	27	series	series	NOUN
cuesj-577	116	28	model	model	PROPN
cuesj-577	116	29	.	.	PUNCT
cuesj-577	117	1	the	the	DET
cuesj-577	117	2	graphs	graph	NOUN
cuesj-577	117	3	of	of	ADP
cuesj-577	117	4	acf	acf	NOUN
cuesj-577	117	5	and	and	CCONJ
cuesj-577	117	6	pacf	pacf	NOUN
cuesj-577	117	7	are	be	AUX
cuesj-577	117	8	shown	show	VERB
cuesj-577	117	9	in	in	ADP
cuesj-577	117	10	figures	figure	NOUN
cuesj-577	117	11	6	6	NUM
cuesj-577	117	12	and	and	CCONJ
cuesj-577	117	13	7	7	NUM
cuesj-577	117	14	.	.	PUNCT
cuesj-577	118	1	after	after	ADP
cuesj-577	118	2	taking	take	VERB
cuesj-577	118	3	the	the	DET
cuesj-577	118	4	differentiated	differentiated	ADJ
cuesj-577	118	5	series	series	NOUN
cuesj-577	118	6	for	for	ADP
cuesj-577	118	7	natural	natural	ADJ
cuesj-577	118	8	gas	gas	NOUN
cuesj-577	118	9	production	production	NOUN
cuesj-577	118	10	,	,	PUNCT
cuesj-577	118	11	which	which	PRON
cuesj-577	118	12	transforms	transform	VERB
cuesj-577	118	13	into	into	ADP
cuesj-577	118	14	stationary	stationary	ADJ
cuesj-577	118	15	series	series	NOUN
cuesj-577	118	16	around	around	ADP
cuesj-577	118	17	the	the	DET
cuesj-577	118	18	mean	mean	NOUN
cuesj-577	118	19	,	,	PUNCT
cuesj-577	118	20	and	and	CCONJ
cuesj-577	118	21	the	the	DET
cuesj-577	118	22	acf	acf	PROPN
cuesj-577	118	23	and	and	CCONJ
cuesj-577	118	24	pacf	pacf	NOUN
cuesj-577	118	25	plots	plot	NOUN
cuesj-577	118	26	of	of	ADP
cuesj-577	118	27	the	the	DET
cuesj-577	118	28	differentiated	differentiated	ADJ
cuesj-577	118	29	series	series	NOUN
cuesj-577	118	30	,	,	PUNCT
cuesj-577	118	31	most	most	ADJ
cuesj-577	118	32	of	of	ADP
cuesj-577	118	33	the	the	DET
cuesj-577	118	34	lags	lag	NOUN
cuesj-577	118	35	are	be	AUX
cuesj-577	118	36	within	within	ADP
cuesj-577	118	37	the	the	DET
cuesj-577	118	38	confidence	confidence	NOUN
cuesj-577	118	39	limits	limit	NOUN
cuesj-577	118	40	,	,	PUNCT
cuesj-577	118	41	as	as	ADP
cuesj-577	118	42	in	in	ADP
cuesj-577	118	43	the	the	DET
cuesj-577	118	44	mentioned	mention	VERB
cuesj-577	118	45	figures	figure	NOUN
cuesj-577	118	46	8	8	NUM
cuesj-577	118	47	and	and	CCONJ
cuesj-577	118	48	9	9	NUM
cuesj-577	118	49	are	be	AUX
cuesj-577	118	50	shown	show	VERB
cuesj-577	118	51	.	.	PUNCT
cuesj-577	119	1	this	this	DET
cuesj-577	119	2	table	table	NOUN
cuesj-577	119	3	5	5	NUM
cuesj-577	119	4	shows	show	VERB
cuesj-577	119	5	the	the	DET
cuesj-577	119	6	estimated	estimate	VERB
cuesj-577	119	7	partial	partial	ADJ
cuesj-577	119	8	autocorrelations	autocorrelation	NOUN
cuesj-577	119	9	between	between	ADP
cuesj-577	119	10	values	value	NOUN
cuesj-577	119	11	of	of	ADP
cuesj-577	119	12	adjusted	adjust	VERB
cuesj-577	119	13	natural	natural	ADJ
cuesj-577	119	14	gas	gas	NOUN
cuesj-577	119	15	production	production	NOUN
cuesj-577	119	16	at	at	ADP
cuesj-577	119	17	various	various	ADJ
cuesj-577	119	18	lags	lag	NOUN
cuesj-577	119	19	.	.	PUNCT
cuesj-577	120	1	the	the	DET
cuesj-577	120	2	lag	lag	NOUN
cuesj-577	120	3	k	k	PROPN
cuesj-577	120	4	partial	partial	ADJ
cuesj-577	120	5	autocorrelation	autocorrelation	NOUN
cuesj-577	120	6	coefficient	coefficient	NOUN
cuesj-577	120	7	measures	measure	VERB
cuesj-577	120	8	the	the	DET
cuesj-577	120	9	correlation	correlation	NOUN
cuesj-577	120	10	between	between	ADP
cuesj-577	120	11	values	value	NOUN
cuesj-577	120	12	of	of	ADP
cuesj-577	120	13	adjusted	adjust	VERB
cuesj-577	120	14	natural	natural	ADJ
cuesj-577	120	15	gas	gas	NOUN
cuesj-577	120	16	production	production	NOUN
cuesj-577	120	17	at	at	ADP
cuesj-577	120	18	time	time	NOUN
cuesj-577	120	19	(	(	PUNCT
cuesj-577	120	20	t	t	PROPN
cuesj-577	120	21	,	,	PUNCT
cuesj-577	120	22	t+k	t+k	NUM
cuesj-577	120	23	)	)	PUNCT
cuesj-577	120	24	,	,	PUNCT
cuesj-577	120	25	having	having	AUX
cuesj-577	120	26	accounted	account	VERB
cuesj-577	120	27	for	for	ADP
cuesj-577	120	28	the	the	DET
cuesj-577	120	29	associations	association	NOUN
cuesj-577	120	30	at	at	ADP
cuesj-577	120	31	all	all	ADV
cuesj-577	120	32	lower	low	ADJ
cuesj-577	120	33	lags	lag	NOUN
cuesj-577	120	34	.	.	PUNCT
cuesj-577	121	1	it	it	PRON
cuesj-577	121	2	can	can	AUX
cuesj-577	121	3	be	be	AUX
cuesj-577	121	4	used	use	VERB
cuesj-577	121	5	to	to	PART
cuesj-577	121	6	evaluator	evaluator	VERB
cuesj-577	121	7	the	the	DET
cuesj-577	121	8	order	order	NOUN
cuesj-577	121	9	of	of	ADP
cuesj-577	121	10	the	the	DET
cuesj-577	121	11	autoregressive	autoregressive	ADJ
cuesj-577	121	12	model	model	NOUN
cuesj-577	121	13	needed	need	VERB
cuesj-577	121	14	to	to	PART
cuesj-577	121	15	fit	fit	VERB
cuesj-577	121	16	the	the	DET
cuesj-577	121	17	data	datum	NOUN
cuesj-577	121	18	.	.	PUNCT
cuesj-577	122	1	also	also	ADV
cuesj-577	122	2	shown	show	VERB
cuesj-577	122	3	that	that	SCONJ
cuesj-577	122	4	95	95	NUM
cuesj-577	122	5	%	%	NOUN
cuesj-577	122	6	of	of	ADP
cuesj-577	122	7	the	the	DET
cuesj-577	122	8	probability	probability	NOUN
cuesj-577	122	9	limit	limit	NOUN
cuesj-577	122	10	is	be	AUX
cuesj-577	122	11	around	around	ADV
cuesj-577	122	12	0	0	NUM
cuesj-577	122	13	.	.	PUNCT
cuesj-577	123	1	if	if	SCONJ
cuesj-577	123	2	the	the	DET
cuesj-577	123	3	probability	probability	NOUN
cuesj-577	123	4	limits	limit	VERB
cuesj-577	123	5	at	at	ADP
cuesj-577	123	6	a	a	DET
cuesj-577	123	7	specific	specific	ADJ
cuesj-577	123	8	lag	lag	NOUN
cuesj-577	123	9	do	do	AUX
cuesj-577	123	10	not	not	PART
cuesj-577	123	11	contain	contain	VERB
cuesj-577	123	12	the	the	DET
cuesj-577	123	13	estimated	estimated	ADJ
cuesj-577	123	14	coefficient	coefficient	NOUN
cuesj-577	123	15	,	,	PUNCT
cuesj-577	123	16	there	there	PRON
cuesj-577	123	17	is	be	VERB
cuesj-577	123	18	a	a	DET
cuesj-577	123	19	statistically	statistically	ADV
cuesj-577	123	20	significant	significant	ADJ
cuesj-577	123	21	association	association	NOUN
cuesj-577	123	22	at	at	ADP
cuesj-577	123	23	that	that	DET
cuesj-577	123	24	lag	lag	NOUN
cuesj-577	123	25	at	at	ADP
cuesj-577	123	26	the	the	DET
cuesj-577	123	27	95	95	NUM
cuesj-577	123	28	%	%	NOUN
cuesj-577	123	29	confidence	confidence	NOUN
cuesj-577	123	30	level	level	NOUN
cuesj-577	123	31	.	.	PUNCT
cuesj-577	124	1	in	in	ADP
cuesj-577	124	2	this	this	DET
cuesj-577	124	3	case	case	NOUN
cuesj-577	124	4	,	,	PUNCT
cuesj-577	124	5	one	one	NUM
cuesj-577	124	6	of	of	ADP
cuesj-577	124	7	the	the	DET
cuesj-577	124	8	24	24	NUM
cuesj-577	124	9	partial	partial	ADJ
cuesj-577	124	10	autocorrelation	autocorrelation	NOUN
cuesj-577	124	11	coefficients	coefficient	NOUN
cuesj-577	124	12	is	be	AUX
cuesj-577	124	13	statistically	statistically	ADV
cuesj-577	124	14	significant	significant	ADJ
cuesj-577	124	15	at	at	ADP
cuesj-577	124	16	the	the	DET
cuesj-577	124	17	95	95	NUM
cuesj-577	124	18	%	%	NOUN
cuesj-577	124	19	confidence	confidence	NOUN
cuesj-577	124	20	level	level	NOUN
cuesj-577	124	21	.	.	PUNCT
cuesj-577	125	1	this	this	DET
cuesj-577	125	2	table	table	NOUN
cuesj-577	125	3	6	6	NUM
cuesj-577	125	4	shows	show	VERB
cuesj-577	125	5	the	the	DET
cuesj-577	125	6	estimated	estimate	VERB
cuesj-577	125	7	partial	partial	ADJ
cuesj-577	125	8	autocorrelations	autocorrelation	NOUN
cuesj-577	125	9	between	between	ADP
cuesj-577	125	10	values	value	NOUN
cuesj-577	125	11	of	of	ADP
cuesj-577	125	12	adjusted	adjust	VERB
cuesj-577	125	13	natural	natural	ADJ
cuesj-577	125	14	gas	gas	NOUN
cuesj-577	125	15	production	production	NOUN
cuesj-577	125	16	at	at	ADP
cuesj-577	125	17	different	different	ADJ
cuesj-577	125	18	lags	lag	NOUN
cuesj-577	125	19	.	.	PUNCT
cuesj-577	126	1	the	the	DET
cuesj-577	126	2	partial	partial	ADJ
cuesj-577	126	3	autocorrelation	autocorrelation	NOUN
cuesj-577	126	4	coefficient	coefficient	NOUN
cuesj-577	126	5	lag	lag	VERB
cuesj-577	126	6	k	k	PROPN
cuesj-577	126	7	measures	measure	VERB
cuesj-577	126	8	the	the	DET
cuesj-577	126	9	hussein	hussein	NOUN
cuesj-577	126	10	:	:	PUNCT
cuesj-577	126	11	comparison	comparison	NOUN
cuesj-577	126	12	of	of	ADP
cuesj-577	126	13	time	time	NOUN
cuesj-577	126	14	series	series	NOUN
cuesj-577	126	15	models	model	NOUN
cuesj-577	126	16	before	before	ADP
cuesj-577	126	17	and	and	CCONJ
cuesj-577	126	18	after	after	ADP
cuesj-577	126	19	using	use	VERB
cuesj-577	126	20	wavelet	wavelet	NOUN
cuesj-577	126	21	shrinkage	shrinkage	NOUN
cuesj-577	126	22	filtering	filter	VERB
cuesj-577	126	23	36	36	NUM
cuesj-577	126	24	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-577	126	25	cuesj	cuesj	ADJ
cuesj-577	126	26	2022	2022	NUM
cuesj-577	126	27	,	,	PUNCT
cuesj-577	126	28	6	6	NUM
cuesj-577	126	29	(	(	PUNCT
cuesj-577	126	30	1	1	NUM
cuesj-577	126	31	):	):	PUNCT
cuesj-577	126	32	32	32	NUM
cuesj-577	126	33	-	-	SYM
cuesj-577	126	34	46	46	NUM
cuesj-577	126	35	correlation	correlation	NOUN
cuesj-577	126	36	between	between	ADP
cuesj-577	126	37	values	value	NOUN
cuesj-577	126	38	of	of	ADP
cuesj-577	126	39	adjusted	adjust	VERB
cuesj-577	126	40	natural	natural	ADJ
cuesj-577	126	41	gas	gas	NOUN
cuesj-577	126	42	production	production	NOUN
cuesj-577	126	43	at	at	ADP
cuesj-577	126	44	time	time	NOUN
cuesj-577	126	45	(	(	PUNCT
cuesj-577	126	46	t	t	PROPN
cuesj-577	126	47	,	,	PUNCT
cuesj-577	126	48	t+k	t+k	NUM
cuesj-577	126	49	)	)	PUNCT
cuesj-577	126	50	,	,	PUNCT
cuesj-577	126	51	with	with	ADP
cuesj-577	126	52	the	the	DET
cuesj-577	126	53	associations	association	NOUN
cuesj-577	126	54	at	at	ADP
cuesj-577	126	55	all	all	ADV
cuesj-577	126	56	lower	low	ADJ
cuesj-577	126	57	lags	lag	NOUN
cuesj-577	126	58	taken	take	VERB
cuesj-577	126	59	into	into	ADP
cuesj-577	126	60	account	account	NOUN
cuesj-577	126	61	.	.	PUNCT
cuesj-577	127	1	it	it	PRON
cuesj-577	127	2	can	can	AUX
cuesj-577	127	3	be	be	AUX
cuesj-577	127	4	used	use	VERB
cuesj-577	127	5	to	to	PART
cuesj-577	127	6	evaluate	evaluate	VERB
cuesj-577	127	7	the	the	DET
cuesj-577	127	8	autoregressive	autoregressive	ADJ
cuesj-577	127	9	model	model	NOUN
cuesj-577	127	10	order	order	NOUN
cuesj-577	127	11	required	require	VERB
cuesj-577	127	12	to	to	PART
cuesj-577	127	13	fit	fit	VERB
cuesj-577	127	14	the	the	DET
cuesj-577	127	15	data	datum	NOUN
cuesj-577	127	16	.	.	PUNCT
cuesj-577	128	1	also	also	ADV
cuesj-577	128	2	shown	show	VERB
cuesj-577	128	3	that	that	SCONJ
cuesj-577	128	4	95	95	NUM
cuesj-577	128	5	%	%	NOUN
cuesj-577	128	6	of	of	ADP
cuesj-577	128	7	the	the	DET
cuesj-577	128	8	probability	probability	NOUN
cuesj-577	128	9	limit	limit	NOUN
cuesj-577	128	10	is	be	AUX
cuesj-577	128	11	around	around	ADV
cuesj-577	128	12	0	0	NUM
cuesj-577	128	13	.	.	PUNCT
cuesj-577	129	1	if	if	SCONJ
cuesj-577	129	2	the	the	DET
cuesj-577	129	3	probability	probability	NOUN
cuesj-577	129	4	limit	limit	NOUN
cuesj-577	129	5	at	at	ADP
cuesj-577	129	6	a	a	DET
cuesj-577	129	7	given	give	VERB
cuesj-577	129	8	lag	lag	NOUN
cuesj-577	129	9	does	do	AUX
cuesj-577	129	10	not	not	PART
cuesj-577	129	11	include	include	VERB
cuesj-577	129	12	the	the	DET
cuesj-577	129	13	estimated	estimated	ADJ
cuesj-577	129	14	coefficient	coefficient	NOUN
cuesj-577	129	15	,	,	PUNCT
cuesj-577	129	16	then	then	ADV
cuesj-577	129	17	there	there	PRON
cuesj-577	129	18	is	be	VERB
cuesj-577	129	19	a	a	DET
cuesj-577	129	20	statistically	statistically	ADV
cuesj-577	129	21	significant	significant	ADJ
cuesj-577	129	22	association	association	NOUN
cuesj-577	129	23	at	at	ADP
cuesj-577	129	24	the	the	DET
cuesj-577	129	25	95	95	NUM
cuesj-577	129	26	%	%	NOUN
cuesj-577	129	27	confidence	confidence	NOUN
cuesj-577	129	28	level	level	NOUN
cuesj-577	129	29	for	for	ADP
cuesj-577	129	30	that	that	DET
cuesj-577	129	31	lag	lag	NOUN
cuesj-577	129	32	.	.	PUNCT
cuesj-577	130	1	in	in	ADP
cuesj-577	130	2	this	this	DET
cuesj-577	130	3	case	case	NOUN
cuesj-577	130	4	,	,	PUNCT
cuesj-577	130	5	one	one	NUM
cuesj-577	130	6	of	of	ADP
cuesj-577	130	7	the	the	DET
cuesj-577	130	8	24	24	NUM
cuesj-577	130	9	partial	partial	ADJ
cuesj-577	130	10	autocorrelation	autocorrelation	NOUN
cuesj-577	130	11	coefficients	coefficient	NOUN
cuesj-577	130	12	is	be	AUX
cuesj-577	130	13	statistically	statistically	ADV
cuesj-577	130	14	significant	significant	ADJ
cuesj-577	130	15	at	at	ADP
cuesj-577	130	16	the	the	DET
cuesj-577	130	17	95	95	NUM
cuesj-577	130	18	%	%	NOUN
cuesj-577	130	19	confidence	confidence	NOUN
cuesj-577	130	20	level	level	NOUN
cuesj-577	130	21	.	.	PUNCT
cuesj-577	131	1	choosing	choose	VERB
cuesj-577	131	2	appropriate	appropriate	ADJ
cuesj-577	131	3	model	model	NOUN
cuesj-577	131	4	after	after	ADP
cuesj-577	131	5	studying	study	VERB
cuesj-577	131	6	the	the	DET
cuesj-577	131	7	stationary	stationary	ADJ
cuesj-577	131	8	time	time	NOUN
cuesj-577	131	9	series	series	PROPN
cuesj-577	131	10	through	through	ADP
cuesj-577	131	11	mean	mean	PROPN
cuesj-577	131	12	and	and	CCONJ
cuesj-577	131	13	variance	variance	NOUN
cuesj-577	131	14	,	,	PUNCT
cuesj-577	131	15	the	the	DET
cuesj-577	131	16	model	model	NOUN
cuesj-577	131	17	identification	identification	NOUN
cuesj-577	131	18	procedure	procedure	NOUN
cuesj-577	131	19	determines	determine	VERB
cuesj-577	131	20	the	the	DET
cuesj-577	131	21	sufficient	sufficient	ADJ
cuesj-577	131	22	model	model	NOUN
cuesj-577	131	23	,	,	PUNCT
cuesj-577	131	24	the	the	DET
cuesj-577	131	25	visible	visible	ADJ
cuesj-577	131	26	acf	acf	NOUN
cuesj-577	131	27	,	,	PUNCT
cuesj-577	131	28	and	and	CCONJ
cuesj-577	131	29	the	the	DET
cuesj-577	131	30	pacf	pacf	NOUN
cuesj-577	131	31	.	.	PUNCT
cuesj-577	132	1	the	the	DET
cuesj-577	132	2	appropriate	appropriate	ADJ
cuesj-577	132	3	models	model	NOUN
cuesj-577	132	4	for	for	ADP
cuesj-577	132	5	each	each	DET
cuesj-577	132	6	time	time	NOUN
cuesj-577	132	7	series	series	PROPN
cuesj-577	132	8	are	be	AUX
cuesj-577	132	9	listed	list	VERB
cuesj-577	132	10	in	in	ADP
cuesj-577	132	11	table	table	NOUN
cuesj-577	132	12	7	7	NUM
cuesj-577	132	13	to	to	PART
cuesj-577	132	14	identify	identify	VERB
cuesj-577	132	15	the	the	DET
cuesj-577	132	16	best	good	ADJ
cuesj-577	132	17	models	model	NOUN
cuesj-577	132	18	,	,	PUNCT
cuesj-577	132	19	lowest	low	ADJ
cuesj-577	132	20	aic	aic	PROPN
cuesj-577	132	21	,	,	PUNCT
cuesj-577	132	22	sbic	sbic	ADJ
cuesj-577	132	23	,	,	PUNCT
cuesj-577	132	24	and	and	CCONJ
cuesj-577	132	25	hqc	hqc	INTJ
cuesj-577	132	26	.	.	PUNCT
cuesj-577	133	1	table	table	NOUN
cuesj-577	133	2	7	7	NUM
cuesj-577	133	3	shows	show	VERB
cuesj-577	133	4	the	the	DET
cuesj-577	133	5	comparative	comparative	ADJ
cuesj-577	133	6	results	result	NOUN
cuesj-577	133	7	of	of	ADP
cuesj-577	133	8	fitting	fitting	ADJ
cuesj-577	133	9	different	different	ADJ
cuesj-577	133	10	models	model	NOUN
cuesj-577	133	11	to	to	ADP
cuesj-577	133	12	the	the	DET
cuesj-577	133	13	data	datum	NOUN
cuesj-577	133	14	.	.	PUNCT
cuesj-577	134	1	the	the	DET
cuesj-577	134	2	lowest	low	ADJ
cuesj-577	134	3	value	value	NOUN
cuesj-577	134	4	of	of	ADP
cuesj-577	134	5	aic	aic	PROPN
cuesj-577	134	6	,	,	PUNCT
cuesj-577	134	7	hqc	hqc	INTJ
cuesj-577	134	8	,	,	PUNCT
cuesj-577	134	9	and	and	CCONJ
cuesj-577	134	10	sbic	sbic	NOUN
cuesj-577	134	11	is	be	AUX
cuesj-577	134	12	arima	arima	NOUN
cuesj-577	134	13	(	(	PUNCT
cuesj-577	134	14	0	0	NUM
cuesj-577	134	15	,	,	PUNCT
cuesj-577	134	16	1	1	NUM
cuesj-577	134	17	,	,	PUNCT
cuesj-577	134	18	1	1	NUM
cuesj-577	134	19	)	)	PUNCT
cuesj-577	134	20	,	,	PUNCT
cuesj-577	134	21	the	the	DET
cuesj-577	134	22	selected	select	VERB
cuesj-577	134	23	model	model	NOUN
cuesj-577	134	24	used	use	VERB
cuesj-577	134	25	to	to	PART
cuesj-577	134	26	generate	generate	VERB
cuesj-577	134	27	the	the	DET
cuesj-577	134	28	predicted	predict	VERB
cuesj-577	134	29	value	value	NOUN
cuesj-577	134	30	.	.	PUNCT
cuesj-577	135	1	table	table	NOUN
cuesj-577	135	2	8	8	NUM
cuesj-577	135	3	also	also	ADV
cuesj-577	135	4	summarizes	summarize	VERB
cuesj-577	135	5	the	the	DET
cuesj-577	135	6	results	result	NOUN
cuesj-577	135	7	of	of	ADP
cuesj-577	135	8	five	five	NUM
cuesj-577	135	9	tests	test	NOUN
cuesj-577	135	10	performed	perform	VERB
cuesj-577	135	11	on	on	ADP
cuesj-577	135	12	the	the	DET
cuesj-577	135	13	residuals	residual	NOUN
cuesj-577	135	14	to	to	PART
cuesj-577	135	15	determine	determine	VERB
cuesj-577	135	16	whether	whether	SCONJ
cuesj-577	135	17	each	each	DET
cuesj-577	135	18	model	model	NOUN
cuesj-577	135	19	fits	fit	VERB
cuesj-577	135	20	the	the	DET
cuesj-577	135	21	data	datum	NOUN
cuesj-577	135	22	.	.	PUNCT
cuesj-577	136	1	an	an	DET
cuesj-577	136	2	ok	ok	ADJ
cuesj-577	136	3	means	means	NOUN
cuesj-577	136	4	that	that	SCONJ
cuesj-577	136	5	the	the	DET
cuesj-577	136	6	model	model	NOUN
cuesj-577	136	7	passed	pass	VERB
cuesj-577	136	8	the	the	DET
cuesj-577	136	9	test	test	NOUN
cuesj-577	136	10	.	.	PUNCT
cuesj-577	137	1	the	the	DET
cuesj-577	137	2	currently	currently	ADV
cuesj-577	137	3	selected	select	VERB
cuesj-577	137	4	model	model	NOUN
cuesj-577	137	5	,	,	PUNCT
cuesj-577	137	6	model	model	NOUN
cuesj-577	137	7	arima	arima	PROPN
cuesj-577	137	8	(	(	PUNCT
cuesj-577	137	9	0,1,1	0,1,1	NUM
cuesj-577	137	10	)	)	PUNCT
cuesj-577	137	11	,	,	PUNCT
cuesj-577	137	12	passes	pass	VERB
cuesj-577	137	13	five	five	NUM
cuesj-577	137	14	tests	test	NOUN
cuesj-577	137	15	.	.	PUNCT
cuesj-577	138	1	the	the	DET
cuesj-577	138	2	present	present	ADJ
cuesj-577	138	3	model	model	NOUN
cuesj-577	138	4	is	be	AUX
cuesj-577	138	5	probably	probably	ADV
cuesj-577	138	6	appropriate	appropriate	ADJ
cuesj-577	138	7	for	for	ADP
cuesj-577	138	8	the	the	DET
cuesj-577	138	9	data	datum	NOUN
cuesj-577	138	10	.	.	PUNCT
cuesj-577	139	1	model	model	NOUN
cuesj-577	139	2	identification	identification	NOUN
cuesj-577	139	3	in	in	ADP
cuesj-577	139	4	this	this	DET
cuesj-577	139	5	point	point	NOUN
cuesj-577	139	6	,	,	PUNCT
cuesj-577	139	7	we	we	PRON
cuesj-577	139	8	will	will	AUX
cuesj-577	139	9	examine	examine	VERB
cuesj-577	139	10	the	the	DET
cuesj-577	139	11	data	datum	NOUN
cuesj-577	139	12	acf	acf	PROPN
cuesj-577	139	13	and	and	CCONJ
cuesj-577	139	14	pacf	pacf	NOUN
cuesj-577	139	15	,	,	PUNCT
cuesj-577	139	16	after	after	ADP
cuesj-577	139	17	getting	get	VERB
cuesj-577	139	18	on	on	ADP
cuesj-577	139	19	the	the	DET
cuesj-577	139	20	stationary	stationary	NOUN
cuesj-577	139	21	for	for	ADP
cuesj-577	139	22	time	time	NOUN
cuesj-577	139	23	series	series	PROPN
cuesj-577	139	24	examine	examine	VERB
cuesj-577	139	25	acf	acf	PROPN
cuesj-577	139	26	and	and	CCONJ
cuesj-577	139	27	pacf	pacf	NOUN
cuesj-577	139	28	.	.	PUNCT
cuesj-577	140	1	we	we	PRON
cuesj-577	140	2	get	get	VERB
cuesj-577	140	3	the	the	DET
cuesj-577	140	4	model	model	NOUN
cuesj-577	140	5	for	for	ADP
cuesj-577	140	6	the	the	DET
cuesj-577	140	7	natural	natural	ADJ
cuesj-577	140	8	gas	gas	NOUN
cuesj-577	140	9	production	production	NOUN
cuesj-577	140	10	arima	arima	NOUN
cuesj-577	140	11	(	(	PUNCT
cuesj-577	140	12	0,1,1	0,1,1	NUM
cuesj-577	140	13	)	)	PUNCT
cuesj-577	140	14	.	.	PUNCT
cuesj-577	141	1	estimation	estimation	NOUN
cuesj-577	141	2	it	it	PRON
cuesj-577	141	3	was	be	AUX
cuesj-577	141	4	found	find	VERB
cuesj-577	141	5	that	that	SCONJ
cuesj-577	141	6	the	the	DET
cuesj-577	141	7	most	most	ADV
cuesj-577	141	8	suitable	suitable	ADJ
cuesj-577	141	9	model	model	NOUN
cuesj-577	141	10	representing	represent	VERB
cuesj-577	141	11	the	the	DET
cuesj-577	141	12	natural	natural	ADJ
cuesj-577	141	13	gas	gas	NOUN
cuesj-577	141	14	production	production	NOUN
cuesj-577	141	15	series	series	NOUN
cuesj-577	141	16	mentioned	mention	VERB
cuesj-577	141	17	previous	previous	ADJ
cuesj-577	141	18	,	,	PUNCT
cuesj-577	141	19	the	the	DET
cuesj-577	141	20	parameter	parameter	NOUN
cuesj-577	141	21	was	be	AUX
cuesj-577	141	22	estimated	estimate	VERB
cuesj-577	141	23	,	,	PUNCT
cuesj-577	141	24	as	as	SCONJ
cuesj-577	141	25	shown	show	VERB
cuesj-577	141	26	in	in	ADP
cuesj-577	141	27	table	table	NOUN
cuesj-577	141	28	9	9	NUM
cuesj-577	141	29	.	.	PUNCT
cuesj-577	141	30	table	table	NOUN
cuesj-577	141	31	3	3	NUM
cuesj-577	142	1	:	:	PUNCT
cuesj-577	142	2	natural	natural	ADJ
cuesj-577	142	3	gas	gas	NOUN
cuesj-577	142	4	production	production	NOUN
cuesj-577	142	5	(	(	PUNCT
cuesj-577	142	6	bcf	bcf	NOUN
cuesj-577	142	7	)	)	PUNCT
cuesj-577	142	8	series	series	PROPN
cuesj-577	142	9	box	box	PROPN
cuesj-577	142	10	-	-	PUNCT
cuesj-577	142	11	pierce	pierce	PROPN
cuesj-577	142	12	test	test	NOUN
cuesj-577	142	13	p	p	NOUN
cuesj-577	142	14	-	-	PUNCT
cuesj-577	142	15	value	value	NOUN
cuesj-577	142	16	natural	natural	ADJ
cuesj-577	142	17	gas	gas	NOUN
cuesj-577	142	18	production	production	NOUN
cuesj-577	142	19	67.6142	67.6142	NUM
cuesj-577	142	20	2.20016e-9	2.20016e-9	NUM
cuesj-577	142	21	table	table	NOUN
cuesj-577	142	22	4	4	NUM
cuesj-577	142	23	:	:	PUNCT
cuesj-577	142	24	natural	natural	ADJ
cuesj-577	142	25	gas	gas	NOUN
cuesj-577	142	26	production	production	NOUN
cuesj-577	142	27	(	(	PUNCT
cuesj-577	142	28	bcf	bcf	NOUN
cuesj-577	142	29	)	)	PUNCT
cuesj-577	142	30	series	series	PROPN
cuesj-577	142	31	box	box	PROPN
cuesj-577	142	32	-	-	PUNCT
cuesj-577	142	33	pierce	pierce	PROPN
cuesj-577	142	34	test	test	NOUN
cuesj-577	142	35	p	p	NOUN
cuesj-577	142	36	-	-	PUNCT
cuesj-577	142	37	value	value	NOUN
cuesj-577	142	38	gas	gas	NOUN
cuesj-577	142	39	production	production	NOUN
cuesj-577	142	40	natural	natural	ADJ
cuesj-577	142	41	15.5309	15.5309	NUM
cuesj-577	142	42	0.275392	0.275392	NUM
cuesj-577	142	43	figure	figure	NOUN
cuesj-577	142	44	3	3	NUM
cuesj-577	142	45	:	:	PUNCT
cuesj-577	142	46	hard	hard	ADJ
cuesj-577	142	47	and	and	CCONJ
cuesj-577	142	48	soft	soft	ADJ
cuesj-577	142	49	thresholding	thresholding	NOUN
cuesj-577	142	50	table	table	NOUN
cuesj-577	142	51	1	1	NUM
cuesj-577	142	52	:	:	PUNCT
cuesj-577	142	53	types	type	NOUN
cuesj-577	142	54	of	of	ADP
cuesj-577	142	55	wavelet	wavelet	NOUN
cuesj-577	142	56	(	(	PUNCT
cuesj-577	142	57	discrete	discrete	ADJ
cuesj-577	142	58	and	and	CCONJ
cuesj-577	142	59	continuous	continuous	ADJ
cuesj-577	142	60	)	)	PUNCT
cuesj-577	142	61	discrete	discrete	ADJ
cuesj-577	142	62	wavelets	wavelet	NOUN
cuesj-577	142	63	haar	haar	PROPN
cuesj-577	142	64	daubechies	daubechie	NOUN
cuesj-577	142	65	coiflet	coiflet	VERB
cuesj-577	142	66	symlet	symlet	PROPN
cuesj-577	142	67	biorthogonal	biorthogonal	PROPN
cuesj-577	142	68	reverse	reverse	ADJ
cuesj-577	142	69	biorthogonal	biorthogonal	ADJ
cuesj-577	142	70	discrete	discrete	ADJ
cuesj-577	142	71	meyer	meyer	PROPN
cuesj-577	142	72	fejer	fejer	PROPN
cuesj-577	142	73	-	-	PUNCT
cuesj-577	142	74	korovkin	korovkin	NOUN
cuesj-577	142	75	filter	filter	NOUN
cuesj-577	143	1	continuous	continuous	ADJ
cuesj-577	143	2	wavelet	wavelet	NOUN
cuesj-577	143	3	real	real	PROPN
cuesj-577	143	4	valued	value	VERB
cuesj-577	143	5	beta	beta	PROPN
cuesj-577	143	6	hermitian	hermitian	PROPN
cuesj-577	143	7	hermitian	hermitian	ADJ
cuesj-577	143	8	hat	hat	PROPN
cuesj-577	143	9	mexican	mexican	PROPN
cuesj-577	143	10	hat	hat	NOUN
cuesj-577	143	11	shannon	shannon	PROPN
cuesj-577	143	12	complex	complex	PROPN
cuesj-577	143	13	valued	value	VERB
cuesj-577	143	14	mexican	mexican	ADJ
cuesj-577	143	15	hat	hat	NOUN
cuesj-577	143	16	morley	morley	PROPN
cuesj-577	143	17	shannon	shannon	PROPN
cuesj-577	143	18	modified	modify	VERB
cuesj-577	143	19	morlet	morlet	NOUN
cuesj-577	143	20	table	table	NOUN
cuesj-577	143	21	2	2	NUM
cuesj-577	143	22	:	:	PUNCT
cuesj-577	143	23	natural	natural	ADJ
cuesj-577	143	24	gas	gas	NOUN
cuesj-577	143	25	production	production	NOUN
cuesj-577	143	26	(	(	PUNCT
cuesj-577	143	27	billion	billion	NUM
cuesj-577	143	28	cubic	cubic	ADJ
cuesj-577	143	29	feet	foot	NOUN
cuesj-577	143	30	per	per	ADP
cuesj-577	143	31	year	year	NOUN
cuesj-577	143	32	(	(	PUNCT
cuesj-577	143	33	bcfy	bcfy	NOUN
cuesj-577	143	34	)	)	PUNCT
cuesj-577	143	35	)	)	PUNCT
cuesj-577	143	36	year	year	NOUN
cuesj-577	143	37	gas	gas	NOUN
cuesj-577	143	38	production	production	NOUN
cuesj-577	143	39	year	year	NOUN
cuesj-577	143	40	gas	gas	NOUN
cuesj-577	143	41	production	production	NOUN
cuesj-577	143	42	year	year	NOUN
cuesj-577	143	43	gas	gas	NOUN
cuesj-577	143	44	production	production	NOUN
cuesj-577	143	45	year	year	NOUN
cuesj-577	143	46	gas	gas	NOUN
cuesj-577	143	47	production	production	NOUN
cuesj-577	143	48	1980	1980	NUM
cuesj-577	143	49	40.02	40.02	NUM
cuesj-577	143	50	1990	1990	NUM
cuesj-577	143	51	140.59	140.59	NUM
cuesj-577	143	52	2000	2000	NUM
cuesj-577	143	53	111.24	111.24	NUM
cuesj-577	143	54	.	.	PUNCT
cuesj-577	143	55	.	.	PUNCT
cuesj-577	144	1	1981	1981	NUM
cuesj-577	145	1	23	23	NUM
cuesj-577	145	2	1991	1991	NUM
cuesj-577	145	3	61.16	61.16	NUM
cuesj-577	145	4	2001	2001	NUM
cuesj-577	145	5	.	.	PUNCT
cuesj-577	145	6	.	.	PUNCT
cuesj-577	146	1	.	.	PUNCT
cuesj-577	147	1	1982	1982	NUM
cuesj-577	147	2	24	24	NUM
cuesj-577	147	3	1992	1992	NUM
cuesj-577	147	4	79.78	79.78	NUM
cuesj-577	147	5	2002	2002	NUM
cuesj-577	147	6	.	.	PUNCT
cuesj-577	147	7	.	.	PUNCT
cuesj-577	147	8	.	.	PUNCT
cuesj-577	148	1	1983	1983	NUM
cuesj-577	148	2	18	18	NUM
cuesj-577	148	3	1993	1993	NUM
cuesj-577	148	4	90.05	90.05	NUM
cuesj-577	148	5	2003	2003	NUM
cuesj-577	148	6	.	.	PUNCT
cuesj-577	148	7	.	.	PUNCT
cuesj-577	149	1	.	.	PUNCT
cuesj-577	150	1	1984	1984	NUM
cuesj-577	151	1	20	20	NUM
cuesj-577	151	2	1994	1994	NUM
cuesj-577	151	3	111.94	111.94	NUM
cuesj-577	151	4	2004	2004	NUM
cuesj-577	151	5	.	.	PUNCT
cuesj-577	151	6	.	.	PUNCT
cuesj-577	152	1	.	.	PUNCT
cuesj-577	153	1	1985	1985	NUM
cuesj-577	153	2	29.19	29.19	NUM
cuesj-577	153	3	1995	1995	NUM
cuesj-577	153	4	111.95	111.95	NUM
cuesj-577	153	5	2005	2005	NUM
cuesj-577	153	6	.	.	PUNCT
cuesj-577	153	7	.	.	PUNCT
cuesj-577	154	1	.	.	PUNCT
cuesj-577	155	1	1986	1986	NUM
cuesj-577	155	2	54.63	54.63	NUM
cuesj-577	155	3	1996	1996	NUM
cuesj-577	155	4	114.42	114.42	NUM
cuesj-577	155	5	2006	2006	NUM
cuesj-577	155	6	.	.	PUNCT
cuesj-577	155	7	.	.	PUNCT
cuesj-577	156	1	.	.	PUNCT
cuesj-577	157	1	1987	1987	NUM
cuesj-577	157	2	132	132	NUM
cuesj-577	157	3	1997	1997	NUM
cuesj-577	157	4	107.71	107.71	NUM
cuesj-577	157	5	2007	2007	NUM
cuesj-577	157	6	.	.	PUNCT
cuesj-577	157	7	.	.	PUNCT
cuesj-577	158	1	.	.	PUNCT
cuesj-577	159	1	1988	1988	NUM
cuesj-577	159	2	197	197	NUM
cuesj-577	159	3	1998	1998	NUM
cuesj-577	159	4	104.18	104.18	NUM
cuesj-577	159	5	2008	2008	NUM
cuesj-577	159	6	.	.	PUNCT
cuesj-577	159	7	.	.	PUNCT
cuesj-577	159	8	.	.	PUNCT
cuesj-577	160	1	1989	1989	NUM
cuesj-577	161	1	227.41	227.41	NUM
cuesj-577	161	2	1999	1999	NUM
cuesj-577	161	3	112.30	112.30	NUM
cuesj-577	161	4	2009	2009	NUM
cuesj-577	161	5	.	.	PUNCT
cuesj-577	161	6	.	.	PUNCT
cuesj-577	161	7	.	.	PUNCT
cuesj-577	162	1	reference	reference	NOUN
cuesj-577	162	2	:	:	PUNCT
cuesj-577	162	3	eia	eia	PROPN
cuesj-577	162	4	u.s	u.s	PROPN
cuesj-577	162	5	.	.	PROPN
cuesj-577	162	6	energy	energy	PROPN
cuesj-577	162	7	information	information	PROPN
cuesj-577	162	8	administration	administration	PROPN
cuesj-577	162	9	hussein	hussein	PROPN
cuesj-577	162	10	:	:	PUNCT
cuesj-577	162	11	comparison	comparison	NOUN
cuesj-577	162	12	of	of	ADP
cuesj-577	162	13	time	time	NOUN
cuesj-577	162	14	series	series	NOUN
cuesj-577	162	15	models	model	NOUN
cuesj-577	162	16	before	before	ADP
cuesj-577	162	17	and	and	CCONJ
cuesj-577	162	18	after	after	ADP
cuesj-577	162	19	using	use	VERB
cuesj-577	162	20	wavelet	wavelet	NOUN
cuesj-577	162	21	shrinkage	shrinkage	NOUN
cuesj-577	162	22	filtering	filter	VERB
cuesj-577	162	23	37	37	NUM
cuesj-577	162	24	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-577	162	25	cuesj	cuesj	ADJ
cuesj-577	162	26	2022	2022	NUM
cuesj-577	162	27	,	,	PUNCT
cuesj-577	162	28	6	6	NUM
cuesj-577	162	29	(	(	PUNCT
cuesj-577	162	30	1	1	NUM
cuesj-577	162	31	):	):	PUNCT
cuesj-577	162	32	32	32	NUM
cuesj-577	162	33	-	-	SYM
cuesj-577	162	34	46	46	NUM
cuesj-577	162	35	figure	figure	NOUN
cuesj-577	162	36	4	4	NUM
cuesj-577	162	37	:	:	PUNCT
cuesj-577	162	38	the	the	DET
cuesj-577	162	39	plot	plot	NOUN
cuesj-577	162	40	of	of	ADP
cuesj-577	162	41	nature	nature	NOUN
cuesj-577	162	42	gas	gas	NOUN
cuesj-577	162	43	production	production	NOUN
cuesj-577	162	44	in	in	ADP
cuesj-577	162	45	iraq	iraq	PROPN
cuesj-577	162	46	from	from	ADP
cuesj-577	162	47	1980	1980	NUM
cuesj-577	162	48	to	to	ADP
cuesj-577	162	49	2019	2019	NUM
cuesj-577	162	50	figure	figure	NOUN
cuesj-577	162	51	5	5	NUM
cuesj-577	162	52	:	:	PUNCT
cuesj-577	162	53	natural	natural	ADJ
cuesj-577	162	54	gas	gas	NOUN
cuesj-577	162	55	production	production	NOUN
cuesj-577	162	56	in	in	ADP
cuesj-577	162	57	iraq	iraq	PROPN
cuesj-577	162	58	after	after	ADP
cuesj-577	162	59	non	non	ADJ
cuesj-577	162	60	-	-	ADJ
cuesj-577	162	61	seasonal	seasonal	ADJ
cuesj-577	162	62	differencing	differencing	NOUN
cuesj-577	162	63	of	of	ADP
cuesj-577	162	64	order	order	NOUN
cuesj-577	162	65	one	one	NUM
cuesj-577	162	66	figure	figure	NOUN
cuesj-577	162	67	6	6	NUM
cuesj-577	162	68	:	:	PUNCT
cuesj-577	162	69	acf	acf	NOUN
cuesj-577	162	70	of	of	ADP
cuesj-577	162	71	natural	natural	ADJ
cuesj-577	162	72	gas	gas	NOUN
cuesj-577	162	73	production	production	NOUN
cuesj-577	162	74	figure	figure	NOUN
cuesj-577	162	75	7	7	NUM
cuesj-577	162	76	:	:	PUNCT
cuesj-577	162	77	pacf	pacf	NOUN
cuesj-577	162	78	of	of	ADP
cuesj-577	162	79	natural	natural	ADJ
cuesj-577	162	80	gas	gas	NOUN
cuesj-577	162	81	production	production	NOUN
cuesj-577	162	82	figure	figure	NOUN
cuesj-577	162	83	9	9	NUM
cuesj-577	162	84	:	:	PUNCT
cuesj-577	162	85	pacf	pacf	NOUN
cuesj-577	162	86	of	of	ADP
cuesj-577	162	87	natural	natural	ADJ
cuesj-577	162	88	gas	gas	NOUN
cuesj-577	162	89	production	production	NOUN
cuesj-577	162	90	figure	figure	NOUN
cuesj-577	162	91	8	8	NUM
cuesj-577	162	92	:	:	PUNCT
cuesj-577	162	93	acf	acf	NOUN
cuesj-577	162	94	of	of	ADP
cuesj-577	162	95	natural	natural	ADJ
cuesj-577	162	96	gas	gas	NOUN
cuesj-577	162	97	production	production	NOUN
cuesj-577	162	98	hussein	hussein	NOUN
cuesj-577	162	99	:	:	PUNCT
cuesj-577	162	100	comparison	comparison	NOUN
cuesj-577	162	101	of	of	ADP
cuesj-577	162	102	time	time	NOUN
cuesj-577	162	103	series	series	NOUN
cuesj-577	162	104	models	model	NOUN
cuesj-577	162	105	before	before	ADP
cuesj-577	162	106	and	and	CCONJ
cuesj-577	162	107	after	after	ADP
cuesj-577	162	108	using	use	VERB
cuesj-577	162	109	wavelet	wavelet	NOUN
cuesj-577	162	110	shrinkage	shrinkage	NOUN
cuesj-577	162	111	filtering	filter	VERB
cuesj-577	162	112	38	38	NUM
cuesj-577	162	113	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-577	162	114	cuesj	cuesj	ADJ
cuesj-577	162	115	2022	2022	NUM
cuesj-577	162	116	,	,	PUNCT
cuesj-577	162	117	6	6	NUM
cuesj-577	162	118	(	(	PUNCT
cuesj-577	162	119	1	1	NUM
cuesj-577	162	120	):	):	PUNCT
cuesj-577	162	121	32	32	NUM
cuesj-577	162	122	-	-	SYM
cuesj-577	162	123	46	46	NUM
cuesj-577	162	124	model	model	NOUN
cuesj-577	162	125	checking	check	VERB
cuesj-577	162	126	for	for	ADP
cuesj-577	162	127	a	a	DET
cuesj-577	162	128	suitable	suitable	ADJ
cuesj-577	162	129	predicting	predicting	NOUN
cuesj-577	162	130	model	model	NOUN
cuesj-577	162	131	,	,	PUNCT
cuesj-577	162	132	the	the	DET
cuesj-577	162	133	residuals	residual	NOUN
cuesj-577	162	134	for	for	ADP
cuesj-577	162	135	the	the	DET
cuesj-577	162	136	fitted	fit	VERB
cuesj-577	162	137	model	model	NOUN
cuesj-577	162	138	should	should	AUX
cuesj-577	162	139	go	go	VERB
cuesj-577	162	140	by	by	ADP
cuesj-577	162	141	simply	simply	ADV
cuesj-577	162	142	white	white	ADJ
cuesj-577	162	143	noise	noise	NOUN
cuesj-577	162	144	;	;	PUNCT
cuesj-577	162	145	in	in	ADP
cuesj-577	162	146	other	other	ADJ
cuesj-577	162	147	words	word	NOUN
cuesj-577	162	148	,	,	PUNCT
cuesj-577	162	149	the	the	DET
cuesj-577	162	150	selected	select	VERB
cuesj-577	162	151	model	model	NOUN
cuesj-577	162	152	has	have	AUX
cuesj-577	162	153	exhausted	exhaust	VERB
cuesj-577	162	154	the	the	DET
cuesj-577	162	155	whole	whole	ADJ
cuesj-577	162	156	behavior	behavior	NOUN
cuesj-577	162	157	of	of	ADP
cuesj-577	162	158	the	the	DET
cuesj-577	162	159	series	series	NOUN
cuesj-577	162	160	.	.	PUNCT
cuesj-577	163	1	therefore	therefore	ADV
cuesj-577	163	2	,	,	PUNCT
cuesj-577	163	3	we	we	PRON
cuesj-577	163	4	estimated	estimate	VERB
cuesj-577	163	5	the	the	DET
cuesj-577	163	6	acf	acf	NOUN
cuesj-577	163	7	and	and	CCONJ
cuesj-577	163	8	pacf	pacf	NOUN
cuesj-577	163	9	of	of	ADP
cuesj-577	163	10	the	the	DET
cuesj-577	163	11	residual	residual	ADJ
cuesj-577	163	12	and	and	CCONJ
cuesj-577	163	13	plotted	plot	VERB
cuesj-577	163	14	it	it	PRON
cuesj-577	163	15	;	;	PUNCT
cuesj-577	163	16	we	we	PRON
cuesj-577	163	17	would	would	AUX
cuesj-577	163	18	hope	hope	VERB
cuesj-577	163	19	to	to	PART
cuesj-577	163	20	find	find	VERB
cuesj-577	163	21	no	no	DET
cuesj-577	163	22	significant	significant	ADJ
cuesj-577	163	23	acf	acf	NOUN
cuesj-577	163	24	and	and	CCONJ
cuesj-577	163	25	pacf	pacf	NOUN
cuesj-577	163	26	.	.	PUNCT
cuesj-577	164	1	furthermore	furthermore	ADV
cuesj-577	164	2	,	,	PUNCT
cuesj-577	164	3	the	the	DET
cuesj-577	164	4	fitted	fit	VERB
cuesj-577	164	5	model	model	NOUN
cuesj-577	164	6	should	should	AUX
cuesj-577	164	7	reflect	reflect	VERB
cuesj-577	164	8	adequate	adequate	ADJ
cuesj-577	164	9	forecasting	forecasting	NOUN
cuesj-577	164	10	.	.	PUNCT
cuesj-577	165	1	autocorrelation	autocorrelation	NOUN
cuesj-577	165	2	and	and	CCONJ
cuesj-577	165	3	partial	partial	ADJ
cuesj-577	165	4	autocorrelation	autocorrelation	NOUN
cuesj-577	165	5	of	of	ADP
cuesj-577	165	6	residual	residual	ADJ
cuesj-577	165	7	test	test	NOUN
cuesj-577	165	8	his	his	PRON
cuesj-577	165	9	autocorrelation	autocorrelation	NOUN
cuesj-577	165	10	figure	figure	NOUN
cuesj-577	165	11	10	10	NUM
cuesj-577	165	12	shows	show	VERB
cuesj-577	165	13	the	the	DET
cuesj-577	165	14	calculated	calculated	ADJ
cuesj-577	165	15	autocorrelations	autocorrelation	NOUN
cuesj-577	165	16	between	between	ADP
cuesj-577	165	17	the	the	DET
cuesj-577	165	18	residuals	residual	NOUN
cuesj-577	165	19	at	at	ADP
cuesj-577	165	20	different	different	ADJ
cuesj-577	165	21	lags	lag	NOUN
cuesj-577	165	22	.	.	PUNCT
cuesj-577	166	1	the	the	DET
cuesj-577	166	2	lag	lag	PROPN
cuesj-577	166	3	-	-	PUNCT
cuesj-577	166	4	k	k	PROPN
cuesj-577	166	5	autocorrelation	autocorrelation	NOUN
cuesj-577	166	6	coefficient	coefficient	NOUN
cuesj-577	166	7	measures	measure	VERB
cuesj-577	166	8	the	the	DET
cuesj-577	166	9	correlation	correlation	NOUN
cuesj-577	166	10	between	between	ADP
cuesj-577	166	11	the	the	DET
cuesj-577	166	12	residuals	residual	NOUN
cuesj-577	166	13	at	at	ADP
cuesj-577	166	14	time	time	NOUN
cuesj-577	166	15	(	(	PUNCT
cuesj-577	166	16	t	t	PROPN
cuesj-577	166	17	,	,	PUNCT
cuesj-577	166	18	t	t	PROPN
cuesj-577	166	19	-	-	PUNCT
cuesj-577	166	20	k	k	NOUN
cuesj-577	166	21	)	)	PUNCT
cuesj-577	166	22	.	.	PUNCT
cuesj-577	167	1	also	also	ADV
cuesj-577	167	2	shown	show	VERB
cuesj-577	167	3	that	that	SCONJ
cuesj-577	167	4	95	95	NUM
cuesj-577	167	5	%	%	NOUN
cuesj-577	167	6	of	of	ADP
cuesj-577	167	7	the	the	DET
cuesj-577	167	8	probability	probability	NOUN
cuesj-577	167	9	limit	limit	NOUN
cuesj-577	167	10	is	be	AUX
cuesj-577	167	11	around	around	ADV
cuesj-577	167	12	0	0	NUM
cuesj-577	167	13	.	.	PUNCT
cuesj-577	168	1	if	if	SCONJ
cuesj-577	168	2	the	the	DET
cuesj-577	168	3	probability	probability	NOUN
cuesj-577	168	4	limit	limit	NOUN
cuesj-577	168	5	at	at	ADP
cuesj-577	168	6	a	a	DET
cuesj-577	168	7	given	give	VERB
cuesj-577	168	8	lag	lag	NOUN
cuesj-577	168	9	does	do	AUX
cuesj-577	168	10	not	not	PART
cuesj-577	168	11	include	include	VERB
cuesj-577	168	12	the	the	DET
cuesj-577	168	13	estimated	estimated	ADJ
cuesj-577	168	14	coefficient	coefficient	NOUN
cuesj-577	168	15	,	,	PUNCT
cuesj-577	168	16	then	then	ADV
cuesj-577	168	17	there	there	PRON
cuesj-577	168	18	is	be	VERB
cuesj-577	168	19	a	a	DET
cuesj-577	168	20	statistically	statistically	ADV
cuesj-577	168	21	significant	significant	ADJ
cuesj-577	168	22	association	association	NOUN
cuesj-577	168	23	at	at	ADP
cuesj-577	168	24	the	the	DET
cuesj-577	168	25	95	95	NUM
cuesj-577	168	26	%	%	NOUN
cuesj-577	168	27	confidence	confidence	NOUN
cuesj-577	168	28	level	level	NOUN
cuesj-577	168	29	for	for	ADP
cuesj-577	168	30	that	that	DET
cuesj-577	168	31	lag	lag	NOUN
cuesj-577	168	32	.	.	PUNCT
cuesj-577	169	1	in	in	ADP
cuesj-577	169	2	this	this	DET
cuesj-577	169	3	case	case	NOUN
cuesj-577	169	4	,	,	PUNCT
cuesj-577	169	5	none	none	NOUN
cuesj-577	169	6	of	of	ADP
cuesj-577	169	7	the	the	DET
cuesj-577	169	8	24	24	NUM
cuesj-577	169	9	autocorrelation	autocorrelation	NOUN
cuesj-577	169	10	coefficients	coefficient	NOUN
cuesj-577	169	11	is	be	AUX
cuesj-577	169	12	statistically	statistically	ADV
cuesj-577	169	13	significant	significant	ADJ
cuesj-577	169	14	,	,	PUNCT
cuesj-577	169	15	which	which	PRON
cuesj-577	169	16	means	mean	VERB
cuesj-577	169	17	that	that	SCONJ
cuesj-577	169	18	the	the	DET
cuesj-577	169	19	time	time	NOUN
cuesj-577	169	20	series	series	NOUN
cuesj-577	169	21	may	may	AUX
cuesj-577	169	22	well	well	ADV
cuesj-577	169	23	be	be	AUX
cuesj-577	169	24	random	random	ADJ
cuesj-577	169	25	(	(	PUNCT
cuesj-577	169	26	white	white	ADJ
cuesj-577	169	27	noise	noise	NOUN
cuesj-577	169	28	)	)	PUNCT
cuesj-577	169	29	.	.	PUNCT
cuesj-577	170	1	this	this	DET
cuesj-577	170	2	pacf	pacf	NOUN
cuesj-577	170	3	figure	figure	NOUN
cuesj-577	170	4	11	11	NUM
cuesj-577	170	5	shows	show	VERB
cuesj-577	170	6	the	the	DET
cuesj-577	170	7	estimated	estimate	VERB
cuesj-577	170	8	pacf	pacf	NOUN
cuesj-577	170	9	between	between	ADP
cuesj-577	170	10	the	the	DET
cuesj-577	170	11	residuals	residual	NOUN
cuesj-577	170	12	at	at	ADP
cuesj-577	170	13	different	different	ADJ
cuesj-577	170	14	lags	lag	NOUN
cuesj-577	170	15	.	.	PUNCT
cuesj-577	171	1	in	in	ADP
cuesj-577	171	2	this	this	DET
cuesj-577	171	3	case	case	NOUN
cuesj-577	171	4	,	,	PUNCT
cuesj-577	171	5	none	none	NOUN
cuesj-577	171	6	of	of	ADP
cuesj-577	171	7	the	the	DET
cuesj-577	171	8	24	24	NUM
cuesj-577	171	9	acf	acf	NOUN
cuesj-577	171	10	is	be	AUX
cuesj-577	171	11	statistically	statistically	ADV
cuesj-577	171	12	significant	significant	ADJ
cuesj-577	171	13	at	at	ADP
cuesj-577	171	14	the	the	DET
cuesj-577	171	15	95	95	NUM
cuesj-577	171	16	%	%	NOUN
cuesj-577	171	17	confidence	confidence	NOUN
cuesj-577	171	18	level	level	NOUN
cuesj-577	171	19	.	.	PUNCT
cuesj-577	172	1	test	test	NOUN
cuesj-577	172	2	of	of	ADP
cuesj-577	172	3	goodness	goodness	NOUN
cuesj-577	172	4	of	of	ADP
cuesj-577	172	5	fit	fit	ADJ
cuesj-577	172	6	it	it	PRON
cuesj-577	172	7	is	be	AUX
cuesj-577	172	8	probable	probable	ADJ
cuesj-577	172	9	to	to	PART
cuesj-577	172	10	identify	identify	VERB
cuesj-577	172	11	the	the	DET
cuesj-577	172	12	suitable	suitable	ADJ
cuesj-577	172	13	model	model	NOUN
cuesj-577	172	14	arima	arima	PROPN
cuesj-577	172	15	(	(	PUNCT
cuesj-577	172	16	0,1,1	0,1,1	NUM
cuesj-577	172	17	)	)	PUNCT
cuesj-577	172	18	for	for	ADP
cuesj-577	172	19	this	this	DET
cuesj-577	172	20	model	model	NOUN
cuesj-577	172	21	repeatedly	repeatedly	ADV
cuesj-577	172	22	used	use	VERB
cuesj-577	172	23	box	box	PROPN
cuesj-577	172	24	-	-	PUNCT
cuesj-577	172	25	pierce	pierce	PROPN
cuesj-577	172	26	test	test	NOUN
cuesj-577	172	27	’s	’s	PART
cuesj-577	172	28	(	(	PUNCT
cuesj-577	172	29	p	p	NOUN
cuesj-577	172	30	≥	≥	PROPN
cuesj-577	172	31	α	α	NOUN
cuesj-577	172	32	=	=	NOUN
cuesj-577	172	33	0.05	0.05	NUM
cuesj-577	172	34	)	)	PUNCT
cuesj-577	172	35	,	,	PUNCT
cuesj-577	172	36	the	the	DET
cuesj-577	172	37	null	null	ADJ
cuesj-577	172	38	(	(	PUNCT
cuesj-577	172	39	ho	ho	ADJ
cuesj-577	172	40	)	)	PUNCT
cuesj-577	172	41	hypothesis	hypothesis	NOUN
cuesj-577	172	42	is	be	AUX
cuesj-577	172	43	not	not	PART
cuesj-577	172	44	rejected	reject	VERB
cuesj-577	172	45	,	,	PUNCT
cuesj-577	172	46	and	and	CCONJ
cuesj-577	172	47	the	the	DET
cuesj-577	172	48	model	model	NOUN
cuesj-577	172	49	above	above	ADV
cuesj-577	172	50	is	be	AUX
cuesj-577	172	51	suitable	suitable	ADJ
cuesj-577	172	52	.	.	PUNCT
cuesj-577	173	1	meaning	mean	VERB
cuesj-577	173	2	that	that	SCONJ
cuesj-577	173	3	the	the	DET
cuesj-577	173	4	residuals	residual	NOUN
cuesj-577	173	5	are	be	AUX
cuesj-577	173	6	also	also	ADV
cuesj-577	173	7	random	random	ADJ
cuesj-577	173	8	,	,	PUNCT
cuesj-577	173	9	and	and	CCONJ
cuesj-577	173	10	the	the	DET
cuesj-577	173	11	predicting	predicting	NOUN
cuesj-577	173	12	will	will	AUX
cuesj-577	173	13	be	be	AUX
cuesj-577	173	14	suitable	suitable	ADJ
cuesj-577	173	15	and	and	CCONJ
cuesj-577	173	16	reliable	reliable	ADJ
cuesj-577	173	17	enough	enough	ADV
cuesj-577	173	18	.	.	PUNCT
cuesj-577	174	1	h0	h0	PROPN
cuesj-577	174	2	:	:	PUNCT
cuesj-577	174	3	adequate	adequate	ADJ
cuesj-577	174	4	model	model	NOUN
cuesj-577	174	5	versus	versus	ADP
cuesj-577	174	6	h1	h1	PROPN
cuesj-577	174	7	:	:	PUNCT
cuesj-577	174	8	not	not	PART
cuesj-577	174	9	adequate	adequate	ADJ
cuesj-577	174	10	model	model	NOUN
cuesj-577	174	11	table	table	NOUN
cuesj-577	174	12	10	10	NUM
cuesj-577	174	13	above	above	ADV
cuesj-577	174	14	indicates	indicate	VERB
cuesj-577	174	15	that	that	SCONJ
cuesj-577	174	16	p	p	NOUN
cuesj-577	174	17	-	-	PUNCT
cuesj-577	174	18	value	value	NOUN
cuesj-577	174	19	for	for	ADP
cuesj-577	174	20	this	this	DET
cuesj-577	174	21	test	test	NOUN
cuesj-577	174	22	is	be	AUX
cuesj-577	174	23	greater	great	ADJ
cuesj-577	174	24	than	than	ADP
cuesj-577	174	25	or	or	CCONJ
cuesj-577	174	26	equal	equal	ADJ
cuesj-577	174	27	to	to	ADP
cuesj-577	174	28	α	α	NOUN
cuesj-577	174	29	=	=	NOUN
cuesj-577	174	30	0.05	0.05	NUM
cuesj-577	174	31	;	;	PUNCT
cuesj-577	174	32	we	we	PRON
cuesj-577	174	33	can	can	AUX
cuesj-577	174	34	not	not	PART
cuesj-577	174	35	reject	reject	VERB
cuesj-577	174	36	the	the	DET
cuesj-577	174	37	hypothesis	hypothesis	NOUN
cuesj-577	174	38	that	that	PRON
cuesj-577	174	39	the	the	DET
cuesj-577	174	40	model	model	NOUN
cuesj-577	174	41	is	be	AUX
cuesj-577	174	42	reasonable	reasonable	ADJ
cuesj-577	174	43	.	.	PUNCT
cuesj-577	175	1	table	table	NOUN
cuesj-577	175	2	7	7	NUM
cuesj-577	175	3	:	:	PUNCT
cuesj-577	175	4	estimation	estimation	NOUN
cuesj-577	175	5	period	period	NOUN
cuesj-577	175	6	model	model	NOUN
cuesj-577	175	7	aic	aic	PROPN
cuesj-577	175	8	hqc	hqc	ADP
cuesj-577	175	9	sbic	sbic	ADJ
cuesj-577	175	10	arima	arima	NOUN
cuesj-577	175	11	(	(	PUNCT
cuesj-577	175	12	0,1,1	0,1,1	NOUN
cuesj-577	175	13	)	)	PUNCT
cuesj-577	175	14	7.04975	7.04975	NUM
cuesj-577	175	15	7.06501	7.06501	NUM
cuesj-577	175	16	7.09197	7.09197	NUM
cuesj-577	175	17	arima	arima	NOUN
cuesj-577	175	18	(	(	PUNCT
cuesj-577	175	19	1,1,0	1,1,0	NUM
cuesj-577	175	20	)	)	PUNCT
cuesj-577	175	21	7.06818	7.06818	NUM
cuesj-577	175	22	7.08344	7.08344	NUM
cuesj-577	175	23	7.1104	7.1104	NUM
cuesj-577	175	24	arima	arima	NOUN
cuesj-577	175	25	(	(	PUNCT
cuesj-577	175	26	1,0,1	1,0,1	NUM
cuesj-577	175	27	)	)	PUNCT
cuesj-577	175	28	7.09645	7.09645	NUM
cuesj-577	175	29	7.12699	7.12699	NUM
cuesj-577	175	30	7.1809	7.1809	NUM
cuesj-577	175	31	arima	arima	NOUN
cuesj-577	175	32	(	(	PUNCT
cuesj-577	175	33	2,1,0	2,1,0	NUM
cuesj-577	175	34	)	)	PUNCT
cuesj-577	175	35	7.10137	7.10137	NUM
cuesj-577	175	36	7.1319	7.1319	NUM
cuesj-577	175	37	7.18581	7.18581	NUM
cuesj-577	175	38	arima	arima	NOUN
cuesj-577	175	39	(	(	PUNCT
cuesj-577	175	40	0,1,2	0,1,2	NUM
cuesj-577	175	41	)	)	PUNCT
cuesj-577	175	42	7.1152	7.1152	NUM
cuesj-577	175	43	7.14573	7.14573	NUM
cuesj-577	175	44	7.19965	7.19965	NUM
cuesj-577	175	45	table	table	NOUN
cuesj-577	175	46	8	8	NUM
cuesj-577	175	47	:	:	PUNCT
cuesj-577	175	48	summarizes	summarize	VERB
cuesj-577	175	49	the	the	DET
cuesj-577	175	50	results	result	NOUN
cuesj-577	175	51	model	model	NOUN
cuesj-577	175	52	rmse	rmse	PROPN
cuesj-577	175	53	runs	run	VERB
cuesj-577	175	54	runm	runm	VERB
cuesj-577	175	55	auto	auto	NOUN
cuesj-577	175	56	mean	mean	NOUN
cuesj-577	175	57	var	var	NOUN
cuesj-577	175	58	arima	arima	PROPN
cuesj-577	175	59	(	(	PUNCT
cuesj-577	175	60	0,1,1	0,1,1	NUM
cuesj-577	175	61	)	)	PUNCT
cuesj-577	175	62	33.1113	33.1113	NUM
cuesj-577	176	1	ok	ok	INTJ
cuesj-577	176	2	ok	ok	INTJ
cuesj-577	176	3	ok	ok	INTJ
cuesj-577	176	4	ok	ok	INTJ
cuesj-577	176	5	ok	ok	ADJ
cuesj-577	176	6	table	table	NOUN
cuesj-577	176	7	5	5	NUM
cuesj-577	176	8	:	:	PUNCT
cuesj-577	176	9	estimated	estimate	VERB
cuesj-577	176	10	autocorrelations	autocorrelation	NOUN
cuesj-577	176	11	for	for	ADP
cuesj-577	176	12	adjusted	adjusted	ADJ
cuesj-577	176	13	gas	gas	NOUN
cuesj-577	176	14	production	production	NOUN
cuesj-577	176	15	lag	lag	NOUN
cuesj-577	176	16	autocorrelation	autocorrelation	NOUN
cuesj-577	176	17	std	std	NOUN
cuesj-577	176	18	.	.	PUNCT
cuesj-577	176	19	error	error	NOUN
cuesj-577	176	20	lower	low	ADJ
cuesj-577	176	21	95	95	NUM
cuesj-577	176	22	%	%	NOUN
cuesj-577	176	23	prob	prob	NOUN
cuesj-577	176	24	.	.	PUNCT
cuesj-577	177	1	limit	limit	VERB
cuesj-577	177	2	upper	upper	ADJ
cuesj-577	177	3	95	95	NUM
cuesj-577	177	4	%	%	NOUN
cuesj-577	177	5	prob	prob	NOUN
cuesj-577	177	6	.	.	PUNCT
cuesj-577	178	1	limit	limit	VERB
cuesj-577	178	2	1	1	NUM
cuesj-577	178	3	0.380673	0.380673	NUM
cuesj-577	178	4	0.160128	0.160128	NUM
cuesj-577	178	5	−0.313846	−0.313846	NOUN
cuesj-577	178	6	0.313846	0.313846	NUM
cuesj-577	178	7	2	2	NUM
cuesj-577	178	8	−0.0531608	−0.0531608	NOUN
cuesj-577	178	9	0.181858	0.181858	NUM
cuesj-577	178	10	−0.356436	−0.356436	NOUN
cuesj-577	178	11	0.356436	0.356436	NUM
cuesj-577	179	1	3	3	NUM
cuesj-577	179	2	−0.280853	−0.280853	NOUN
cuesj-577	179	3	0.182256	0.182256	NUM
cuesj-577	179	4	−0.357216	−0.357216	NUM
cuesj-577	179	5	0.357216	0.357216	NUM
cuesj-577	179	6	4	4	NUM
cuesj-577	179	7	−0.328115	−0.328115	NOUN
cuesj-577	179	8	0.193035	0.193035	NUM
cuesj-577	180	1	−0.378342	−0.378342	NUM
cuesj-577	180	2	0.378342	0.378342	NUM
cuesj-577	180	3	5	5	NUM
cuesj-577	180	4	−0.141684	−0.141684	NUM
cuesj-577	180	5	0.206841	0.206841	NUM
cuesj-577	180	6	−0.405403	−0.405403	NOUN
cuesj-577	180	7	0.405403	0.405403	NUM
cuesj-577	180	8	6	6	NUM
cuesj-577	180	9	0.00220161	0.00220161	NUM
cuesj-577	180	10	0.209315	0.209315	NUM
cuesj-577	180	11	−0.410251	−0.410251	X
cuesj-577	180	12	0.410251	0.410251	NUM
cuesj-577	180	13	7	7	NUM
cuesj-577	180	14	0.0434127	0.0434127	NUM
cuesj-577	180	15	0.209316	0.209316	NUM
cuesj-577	180	16	−0.410252	−0.410252	NOUN
cuesj-577	180	17	0.410252	0.410252	NUM
cuesj-577	180	18	8	8	NUM
cuesj-577	180	19	0.125133	0.125133	NUM
cuesj-577	180	20	0.209547	0.209547	NUM
cuesj-577	180	21	−0.410704	−0.410704	NOUN
cuesj-577	180	22	0.410704	0.410704	NUM
cuesj-577	180	23	9	9	NUM
cuesj-577	180	24	0.14458	0.14458	NUM
cuesj-577	180	25	0.211454	0.211454	NUM
cuesj-577	180	26	−0.414443	−0.414443	NOUN
cuesj-577	180	27	0.414443	0.414443	NUM
cuesj-577	180	28	10	10	NUM
cuesj-577	180	29	0.0274365	0.0274365	NUM
cuesj-577	180	30	0.213974	0.213974	NUM
cuesj-577	180	31	−0.419381	−0.419381	NOUN
cuesj-577	180	32	0.419381	0.419381	NUM
cuesj-577	180	33	11	11	NUM
cuesj-577	180	34	0.0547573	0.0547573	NUM
cuesj-577	180	35	0.214064	0.214064	NUM
cuesj-577	180	36	−0.419558	−0.419558	NUM
cuesj-577	180	37	0.419558	0.419558	NUM
cuesj-577	180	38	12	12	NUM
cuesj-577	180	39	0.0278836	0.0278836	NUM
cuesj-577	180	40	0.214423	0.214423	NUM
cuesj-577	180	41	−0.420262	−0.420262	NUM
cuesj-577	180	42	0.420262	0.420262	NUM
cuesj-577	180	43	13	13	NUM
cuesj-577	180	44	0.0299531	0.0299531	NUM
cuesj-577	180	45	0.214516	0.214516	NUM
cuesj-577	180	46	−0.420444	−0.420444	NOUN
cuesj-577	180	47	0.420444	0.420444	NUM
cuesj-577	180	48	table	table	NOUN
cuesj-577	180	49	6	6	NUM
cuesj-577	180	50	:	:	PUNCT
cuesj-577	180	51	estimated	estimate	VERB
cuesj-577	180	52	partial	partial	ADJ
cuesj-577	180	53	autocorrelations	autocorrelation	NOUN
cuesj-577	180	54	for	for	ADP
cuesj-577	180	55	adjusted	adjusted	ADJ
cuesj-577	180	56	gas	gas	NOUN
cuesj-577	180	57	production	production	NOUN
cuesj-577	180	58	lag	lag	VERB
cuesj-577	180	59	partial	partial	ADJ
cuesj-577	180	60	autocorrelation	autocorrelation	NOUN
cuesj-577	180	61	std	std	NOUN
cuesj-577	180	62	.	.	NOUN
cuesj-577	180	63	error	error	NOUN
cuesj-577	180	64	lower	low	ADJ
cuesj-577	180	65	95	95	NUM
cuesj-577	180	66	%	%	NOUN
cuesj-577	180	67	prob	prob	NOUN
cuesj-577	180	68	.	.	PUNCT
cuesj-577	181	1	limit	limit	VERB
cuesj-577	181	2	upper	upper	ADJ
cuesj-577	181	3	95	95	NUM
cuesj-577	181	4	%	%	NOUN
cuesj-577	181	5	prob	prob	NOUN
cuesj-577	181	6	.	.	PUNCT
cuesj-577	182	1	limit	limit	VERB
cuesj-577	182	2	1	1	NUM
cuesj-577	182	3	0.380673	0.380673	NUM
cuesj-577	182	4	0.160128	0.160128	NUM
cuesj-577	182	5	−0.313846	−0.313846	NOUN
cuesj-577	182	6	0.313846	0.313846	NUM
cuesj-577	182	7	2	2	NUM
cuesj-577	182	8	−0.231641	−0.231641	PROPN
cuesj-577	182	9	0.160128	0.160128	NUM
cuesj-577	182	10	−0.313846	−0.313846	NOUN
cuesj-577	182	11	0.313846	0.313846	NUM
cuesj-577	182	12	3	3	NUM
cuesj-577	182	13	−0.207301	−0.207301	NOUN
cuesj-577	182	14	0.160128	0.160128	NUM
cuesj-577	182	15	−0.313846	−0.313846	NOUN
cuesj-577	182	16	0.313846	0.313846	NUM
cuesj-577	182	17	4	4	NUM
cuesj-577	182	18	−0.178398	−0.178398	NOUN
cuesj-577	182	19	0.160128	0.160128	NUM
cuesj-577	182	20	−0.313846	−0.313846	NOUN
cuesj-577	182	21	0.313846	0.313846	NUM
cuesj-577	182	22	5	5	NUM
cuesj-577	182	23	0.000865901	0.000865901	NUM
cuesj-577	182	24	0.160128	0.160128	NUM
cuesj-577	182	25	−0.313846	−0.313846	NOUN
cuesj-577	182	26	0.313846	0.313846	NUM
cuesj-577	182	27	6	6	NUM
cuesj-577	182	28	−0.0563702	−0.0563702	NUM
cuesj-577	182	29	0.160128	0.160128	NUM
cuesj-577	182	30	−0.313846	−0.313846	NOUN
cuesj-577	182	31	0.313846	0.313846	NUM
cuesj-577	182	32	7	7	NUM
cuesj-577	182	33	−0.0764279	−0.0764279	NOUN
cuesj-577	182	34	0.160128	0.160128	NUM
cuesj-577	182	35	−0.313846	−0.313846	NOUN
cuesj-577	182	36	0.313846	0.313846	NUM
cuesj-577	182	37	8	8	NUM
cuesj-577	182	38	0.0706657	0.0706657	NUM
cuesj-577	182	39	0.160128	0.160128	NUM
cuesj-577	182	40	−0.313846	−0.313846	NOUN
cuesj-577	182	41	0.313846	0.313846	NUM
cuesj-577	182	42	9	9	NUM
cuesj-577	182	43	0.0646901	0.0646901	NUM
cuesj-577	182	44	0.160128	0.160128	NUM
cuesj-577	182	45	−0.313846	−0.313846	NOUN
cuesj-577	182	46	0.313846	0.313846	NUM
cuesj-577	182	47	10	10	NUM
cuesj-577	182	48	−0.0625562	−0.0625562	NUM
cuesj-577	182	49	0.160128	0.160128	NUM
cuesj-577	182	50	−0.313846	−0.313846	NOUN
cuesj-577	182	51	0.313846	0.313846	NUM
cuesj-577	182	52	11	11	NUM
cuesj-577	182	53	0.132611	0.132611	NUM
cuesj-577	182	54	0.160128	0.160128	NUM
cuesj-577	182	55	−0.313846	−0.313846	NOUN
cuesj-577	182	56	0.313846	0.313846	NUM
cuesj-577	182	57	12	12	NUM
cuesj-577	182	58	0.0507118	0.0507118	NUM
cuesj-577	182	59	0.160128	0.160128	NUM
cuesj-577	182	60	−0.313846	−0.313846	NOUN
cuesj-577	182	61	0.313846	0.313846	NUM
cuesj-577	182	62	13	13	NUM
cuesj-577	182	63	0.0820885	0.0820885	NUM
cuesj-577	182	64	0.160128	0.160128	NUM
cuesj-577	182	65	−0.313846	−0.313846	NOUN
cuesj-577	182	66	0.313846	0.313846	NUM
cuesj-577	182	67	hussein	hussein	NOUN
cuesj-577	182	68	:	:	PUNCT
cuesj-577	182	69	comparison	comparison	NOUN
cuesj-577	182	70	of	of	ADP
cuesj-577	182	71	time	time	NOUN
cuesj-577	182	72	series	series	NOUN
cuesj-577	182	73	models	model	NOUN
cuesj-577	182	74	before	before	ADP
cuesj-577	182	75	and	and	CCONJ
cuesj-577	182	76	after	after	ADP
cuesj-577	182	77	using	use	VERB
cuesj-577	182	78	wavelet	wavelet	NOUN
cuesj-577	182	79	shrinkage	shrinkage	NOUN
cuesj-577	182	80	filtering	filter	VERB
cuesj-577	182	81	39	39	NUM
cuesj-577	182	82	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-577	182	83	cuesj	cuesj	ADJ
cuesj-577	182	84	2022	2022	NUM
cuesj-577	182	85	,	,	PUNCT
cuesj-577	182	86	6	6	NUM
cuesj-577	182	87	(	(	PUNCT
cuesj-577	182	88	1	1	NUM
cuesj-577	182	89	):	):	PUNCT
cuesj-577	182	90	32	32	NUM
cuesj-577	182	91	-	-	SYM
cuesj-577	182	92	46	46	NUM
cuesj-577	182	93	forecasting	forecasting	NOUN
cuesj-577	182	94	in	in	ADP
cuesj-577	182	95	the	the	DET
cuesj-577	182	96	next	next	ADJ
cuesj-577	182	97	step	step	NOUN
cuesj-577	182	98	,	,	PUNCT
cuesj-577	182	99	after	after	SCONJ
cuesj-577	182	100	a	a	DET
cuesj-577	182	101	model	model	NOUN
cuesj-577	182	102	has	have	AUX
cuesj-577	182	103	accepted	accept	VERB
cuesj-577	182	104	the	the	DET
cuesj-577	182	105	entire	entire	ADJ
cuesj-577	182	106	analytical	analytical	ADJ
cuesj-577	182	107	test	test	NOUN
cuesj-577	182	108	,	,	PUNCT
cuesj-577	182	109	it	it	PRON
cuesj-577	182	110	is	be	AUX
cuesj-577	182	111	suitable	suitable	ADJ
cuesj-577	182	112	to	to	PART
cuesj-577	182	113	be	be	AUX
cuesj-577	182	114	used	use	VERB
cuesj-577	182	115	for	for	ADP
cuesj-577	182	116	forecasting	forecasting	NOUN
cuesj-577	182	117	.	.	PUNCT
cuesj-577	183	1	to	to	PART
cuesj-577	183	2	select	select	VERB
cuesj-577	183	3	a	a	DET
cuesj-577	183	4	final	final	ADJ
cuesj-577	183	5	model	model	NOUN
cuesj-577	183	6	for	for	ADP
cuesj-577	183	7	forecasting	forecasting	NOUN
cuesj-577	183	8	,	,	PUNCT
cuesj-577	183	9	the	the	DET
cuesj-577	183	10	model	model	NOUN
cuesj-577	183	11	’s	’s	PART
cuesj-577	183	12	precision	precision	NOUN
cuesj-577	183	13	can	can	AUX
cuesj-577	183	14	be	be	AUX
cuesj-577	183	15	checked	check	VERB
cuesj-577	183	16	to	to	PART
cuesj-577	183	17	choose	choose	VERB
cuesj-577	183	18	how	how	SCONJ
cuesj-577	183	19	the	the	DET
cuesj-577	183	20	model	model	NOUN
cuesj-577	183	21	performed	perform	VERB
cuesj-577	183	22	in	in	ADP
cuesj-577	183	23	terms	term	NOUN
cuesj-577	183	24	of	of	ADP
cuesj-577	183	25	forecasting	forecasting	NOUN
cuesj-577	183	26	as	as	SCONJ
cuesj-577	183	27	shown	show	VERB
cuesj-577	183	28	in	in	ADP
cuesj-577	183	29	figure	figure	NOUN
cuesj-577	183	30	12	12	NUM
cuesj-577	183	31	and	and	CCONJ
cuesj-577	183	32	13	13	NUM
cuesj-577	183	33	.	.	PUNCT
cuesj-577	184	1	forecasting	forecasting	NOUN
cuesj-577	184	2	use	use	VERB
cuesj-577	184	3	wavelet	wavelet	NOUN
cuesj-577	184	4	analysis	analysis	NOUN
cuesj-577	184	5	five	five	NUM
cuesj-577	184	6	techniques	technique	NOUN
cuesj-577	184	7	have	have	AUX
cuesj-577	184	8	been	be	AUX
cuesj-577	184	9	used	use	VERB
cuesj-577	184	10	to	to	PART
cuesj-577	184	11	decrease	decrease	VERB
cuesj-577	184	12	noise	noise	NOUN
cuesj-577	184	13	in	in	ADP
cuesj-577	184	14	the	the	DET
cuesj-577	184	15	data	datum	NOUN
cuesj-577	184	16	of	of	ADP
cuesj-577	184	17	the	the	DET
cuesj-577	184	18	production	production	NOUN
cuesj-577	184	19	of	of	ADP
cuesj-577	184	20	natural	natural	ADJ
cuesj-577	184	21	production	production	NOUN
cuesj-577	184	22	gas	gas	NOUN
cuesj-577	184	23	series	series	NOUN
cuesj-577	184	24	in	in	ADP
cuesj-577	184	25	iraq	iraq	PROPN
cuesj-577	184	26	,	,	PUNCT
cuesj-577	184	27	as	as	SCONJ
cuesj-577	184	28	follows	follow	VERB
cuesj-577	184	29	:	:	PUNCT
cuesj-577	184	30	haar	haar	PROPN
cuesj-577	184	31	wavelet	wavelet	NOUN
cuesj-577	184	32	figure	figure	NOUN
cuesj-577	184	33	14	14	NUM
cuesj-577	184	34	displays	display	VERB
cuesj-577	184	35	the	the	DET
cuesj-577	184	36	actual	actual	ADJ
cuesj-577	184	37	data	datum	NOUN
cuesj-577	184	38	time	time	NOUN
cuesj-577	184	39	series	series	NOUN
cuesj-577	184	40	and	and	CCONJ
cuesj-577	184	41	the	the	DET
cuesj-577	184	42	soft	soft	ADJ
cuesj-577	184	43	threshold	threshold	NOUN
cuesj-577	184	44	of	of	ADP
cuesj-577	184	45	the	the	DET
cuesj-577	184	46	haar	haar	NOUN
cuesj-577	184	47	wave	wave	NOUN
cuesj-577	184	48	for	for	ADP
cuesj-577	184	49	the	the	DET
cuesj-577	184	50	production	production	NOUN
cuesj-577	184	51	of	of	ADP
cuesj-577	184	52	natural	natural	ADJ
cuesj-577	184	53	gas	gas	NOUN
cuesj-577	184	54	in	in	ADP
cuesj-577	184	55	iraq	iraq	PROPN
cuesj-577	184	56	.	.	PUNCT
cuesj-577	185	1	the	the	DET
cuesj-577	185	2	red	red	ADJ
cuesj-577	185	3	color	color	NOUN
cuesj-577	185	4	is	be	AUX
cuesj-577	185	5	the	the	DET
cuesj-577	185	6	original	original	ADJ
cuesj-577	185	7	data	datum	NOUN
cuesj-577	185	8	,	,	PUNCT
cuesj-577	185	9	and	and	CCONJ
cuesj-577	185	10	the	the	DET
cuesj-577	185	11	violet	violet	NOUN
cuesj-577	185	12	is	be	AUX
cuesj-577	185	13	a	a	DET
cuesj-577	185	14	drawing	drawing	NOUN
cuesj-577	185	15	of	of	ADP
cuesj-577	185	16	the	the	DET
cuesj-577	185	17	haar	haar	PROPN
cuesj-577	185	18	wave	wave	NOUN
cuesj-577	185	19	.	.	PUNCT
cuesj-577	186	1	it	it	PRON
cuesj-577	186	2	is	be	AUX
cuesj-577	186	3	clear	clear	ADJ
cuesj-577	186	4	from	from	ADP
cuesj-577	186	5	the	the	DET
cuesj-577	186	6	figure	figure	NOUN
cuesj-577	186	7	that	that	SCONJ
cuesj-577	186	8	the	the	DET
cuesj-577	186	9	difference	difference	NOUN
cuesj-577	186	10	is	be	AUX
cuesj-577	186	11	slight	slight	ADJ
cuesj-577	186	12	,	,	PUNCT
cuesj-577	186	13	which	which	PRON
cuesj-577	186	14	indicates	indicate	VERB
cuesj-577	186	15	the	the	DET
cuesj-577	186	16	preservation	preservation	NOUN
cuesj-577	186	17	of	of	ADP
cuesj-577	186	18	the	the	DET
cuesj-577	186	19	data	datum	NOUN
cuesj-577	186	20	form	form	NOUN
cuesj-577	186	21	and	and	CCONJ
cuesj-577	186	22	,	,	PUNCT
cuesj-577	186	23	as	as	SCONJ
cuesj-577	186	24	it	it	PRON
cuesj-577	186	25	is	be	AUX
cuesj-577	186	26	clear	clear	ADJ
cuesj-577	186	27	from	from	ADP
cuesj-577	186	28	the	the	DET
cuesj-577	186	29	figure	figure	NOUN
cuesj-577	186	30	,	,	PUNCT
cuesj-577	186	31	the	the	DET
cuesj-577	186	32	presence	presence	NOUN
cuesj-577	186	33	of	of	ADP
cuesj-577	186	34	blackness	blackness	NOUN
cuesj-577	186	35	more	more	ADV
cuesj-577	186	36	and	and	CCONJ
cuesj-577	186	37	less	less	ADJ
cuesj-577	186	38	noise	noise	NOUN
cuesj-577	186	39	.	.	PUNCT
cuesj-577	187	1	furthermore	furthermore	ADV
cuesj-577	187	2	,	,	PUNCT
cuesj-577	187	3	by	by	ADP
cuesj-577	187	4	applying	apply	VERB
cuesj-577	187	5	a	a	DET
cuesj-577	187	6	model	model	NOUN
cuesj-577	187	7	to	to	ADP
cuesj-577	187	8	the	the	DET
cuesj-577	187	9	data	datum	NOUN
cuesj-577	187	10	smoothed	smooth	VERB
cuesj-577	187	11	by	by	ADP
cuesj-577	187	12	the	the	DET
cuesj-577	187	13	haar	haar	NOUN
cuesj-577	187	14	method	method	NOUN
cuesj-577	187	15	,	,	PUNCT
cuesj-577	187	16	table	table	NOUN
cuesj-577	187	17	11	11	NUM
cuesj-577	187	18	shows	show	VERB
cuesj-577	187	19	the	the	DET
cuesj-577	187	20	outcomes	outcome	NOUN
cuesj-577	187	21	of	of	ADP
cuesj-577	187	22	calculating	calculate	VERB
cuesj-577	187	23	the	the	DET
cuesj-577	187	24	model	model	NOUN
cuesj-577	187	25	’s	’s	PART
cuesj-577	187	26	parameters	parameter	NOUN
cuesj-577	187	27	.	.	PUNCT
cuesj-577	188	1	it	it	PRON
cuesj-577	188	2	is	be	AUX
cuesj-577	188	3	clear	clear	ADJ
cuesj-577	188	4	from	from	ADP
cuesj-577	188	5	the	the	DET
cuesj-577	188	6	table	table	NOUN
cuesj-577	188	7	the	the	DET
cuesj-577	188	8	significance	significance	NOUN
cuesj-577	188	9	of	of	ADP
cuesj-577	188	10	the	the	DET
cuesj-577	188	11	estimated	estimate	VERB
cuesj-577	188	12	parameters	parameter	NOUN
cuesj-577	188	13	and	and	CCONJ
cuesj-577	188	14	the	the	DET
cuesj-577	188	15	implementation	implementation	NOUN
cuesj-577	188	16	of	of	ADP
cuesj-577	188	17	the	the	DET
cuesj-577	188	18	condition	condition	NOUN
cuesj-577	188	19	of	of	ADP
cuesj-577	188	20	stationary	stationary	NOUN
cuesj-577	188	21	,	,	PUNCT
cuesj-577	188	22	as	as	SCONJ
cuesj-577	188	23	the	the	DET
cuesj-577	188	24	absolute	absolute	ADJ
cuesj-577	188	25	values	value	NOUN
cuesj-577	188	26	are	be	AUX
cuesj-577	188	27	less	less	ADJ
cuesj-577	188	28	than	than	ADP
cuesj-577	188	29	1	1	NUM
cuesj-577	188	30	.	.	NUM
cuesj-577	188	31	figures	figure	NOUN
cuesj-577	188	32	15	15	NUM
cuesj-577	188	33	and	and	CCONJ
cuesj-577	188	34	16	16	NUM
cuesj-577	188	35	show	show	VERB
cuesj-577	188	36	the	the	DET
cuesj-577	188	37	acf	acf	NOUN
cuesj-577	188	38	of	of	ADP
cuesj-577	188	39	the	the	DET
cuesj-577	188	40	model	model	NOUN
cuesj-577	188	41	’s	’s	PART
cuesj-577	188	42	residuals	residual	NOUN
cuesj-577	188	43	for	for	ADP
cuesj-577	188	44	the	the	DET
cuesj-577	188	45	data	datum	NOUN
cuesj-577	188	46	smoothed	smooth	VERB
cuesj-577	188	47	by	by	ADP
cuesj-577	188	48	the	the	DET
cuesj-577	188	49	haar	haar	NOUN
cuesj-577	188	50	method	method	NOUN
cuesj-577	188	51	.	.	PUNCT
cuesj-577	189	1	it	it	PRON
cuesj-577	189	2	is	be	AUX
cuesj-577	189	3	clear	clear	ADJ
cuesj-577	189	4	from	from	ADP
cuesj-577	189	5	the	the	DET
cuesj-577	189	6	figure	figure	NOUN
cuesj-577	189	7	that	that	SCONJ
cuesj-577	189	8	the	the	DET
cuesj-577	189	9	coefficients	coefficient	NOUN
cuesj-577	189	10	of	of	ADP
cuesj-577	189	11	autocorrelation	autocorrelation	NOUN
cuesj-577	189	12	are	be	AUX
cuesj-577	189	13	not	not	PART
cuesj-577	189	14	significant	significant	ADJ
cuesj-577	189	15	within	within	ADP
cuesj-577	189	16	the	the	DET
cuesj-577	189	17	confidence	confidence	NOUN
cuesj-577	189	18	,	,	PUNCT
cuesj-577	189	19	meaning	mean	VERB
cuesj-577	189	20	that	that	SCONJ
cuesj-577	189	21	the	the	DET
cuesj-577	189	22	residuals	residual	NOUN
cuesj-577	189	23	show	show	VERB
cuesj-577	189	24	changes	change	NOUN
cuesj-577	189	25	purely	purely	ADV
cuesj-577	189	26	random	random	ADJ
cuesj-577	189	27	.	.	PUNCT
cuesj-577	190	1	daubechies	daubechie	NOUN
cuesj-577	190	2	wavelet	wavelet	NOUN
cuesj-577	190	3	figure	figure	NOUN
cuesj-577	190	4	17	17	NUM
cuesj-577	190	5	explains	explain	VERB
cuesj-577	190	6	the	the	DET
cuesj-577	190	7	time	time	NOUN
cuesj-577	190	8	series	series	NOUN
cuesj-577	190	9	of	of	ADP
cuesj-577	190	10	actual	actual	ADJ
cuesj-577	190	11	data	datum	NOUN
cuesj-577	190	12	and	and	CCONJ
cuesj-577	190	13	soft	soft	ADJ
cuesj-577	190	14	threshold	threshold	NOUN
cuesj-577	190	15	of	of	ADP
cuesj-577	190	16	the	the	DET
cuesj-577	190	17	daubechies	daubechie	NOUN
cuesj-577	190	18	wave	wave	VERB
cuesj-577	190	19	for	for	ADP
cuesj-577	190	20	natural	natural	ADJ
cuesj-577	190	21	gas	gas	NOUN
cuesj-577	190	22	production	production	NOUN
cuesj-577	190	23	in	in	ADP
cuesj-577	190	24	iraq	iraq	PROPN
cuesj-577	190	25	.	.	PUNCT
cuesj-577	191	1	the	the	DET
cuesj-577	191	2	data	datum	NOUN
cuesj-577	191	3	smoothed	smooth	VERB
cuesj-577	191	4	with	with	ADP
cuesj-577	191	5	this	this	DET
cuesj-577	191	6	wave	wave	NOUN
cuesj-577	191	7	revealed	reveal	VERB
cuesj-577	191	8	that	that	SCONJ
cuesj-577	191	9	their	their	PRON
cuesj-577	191	10	results	result	NOUN
cuesj-577	191	11	are	be	AUX
cuesj-577	191	12	the	the	DET
cuesj-577	191	13	same	same	ADJ
cuesj-577	191	14	as	as	ADP
cuesj-577	191	15	the	the	DET
cuesj-577	191	16	results	result	NOUN
cuesj-577	191	17	in	in	ADP
cuesj-577	191	18	the	the	DET
cuesj-577	191	19	haar	haar	X
cuesj-577	191	20	smoothed	smooth	VERB
cuesj-577	191	21	data	datum	NOUN
cuesj-577	191	22	(	(	PUNCT
cuesj-577	191	23	1,2	1,2	NUM
cuesj-577	191	24	)	)	PUNCT
cuesj-577	191	25	and	and	CCONJ
cuesj-577	191	26	different	different	ADJ
cuesj-577	191	27	in	in	ADP
cuesj-577	191	28	(	(	PUNCT
cuesj-577	191	29	3,4,5,6,7,8,9,10	3,4,5,6,7,8,9,10	PROPN
cuesj-577	191	30	)	)	PUNCT
cuesj-577	191	31	.	.	PUNCT
cuesj-577	192	1	it	it	PRON
cuesj-577	192	2	is	be	AUX
cuesj-577	192	3	clear	clear	ADJ
cuesj-577	192	4	from	from	ADP
cuesj-577	192	5	table	table	NOUN
cuesj-577	192	6	12	12	NUM
cuesj-577	192	7	the	the	DET
cuesj-577	192	8	significance	significance	NOUN
cuesj-577	192	9	of	of	ADP
cuesj-577	192	10	the	the	DET
cuesj-577	192	11	calculated	calculated	ADJ
cuesj-577	192	12	parameters	parameter	NOUN
cuesj-577	192	13	and	and	CCONJ
cuesj-577	192	14	the	the	DET
cuesj-577	192	15	implementation	implementation	NOUN
cuesj-577	192	16	of	of	ADP
cuesj-577	192	17	the	the	DET
cuesj-577	192	18	condition	condition	NOUN
cuesj-577	192	19	of	of	ADP
cuesj-577	192	20	stationary	stationary	NOUN
cuesj-577	192	21	,	,	PUNCT
cuesj-577	192	22	as	as	SCONJ
cuesj-577	192	23	the	the	DET
cuesj-577	192	24	absolute	absolute	ADJ
cuesj-577	192	25	values	value	NOUN
cuesj-577	192	26	are	be	AUX
cuesj-577	192	27	less	less	ADJ
cuesj-577	192	28	than	than	ADP
cuesj-577	192	29	1	1	NUM
cuesj-577	192	30	.	.	NUM
cuesj-577	192	31	figures	figure	NOUN
cuesj-577	192	32	18	18	NUM
cuesj-577	192	33	and	and	CCONJ
cuesj-577	192	34	19	19	NUM
cuesj-577	192	35	show	show	VERB
cuesj-577	192	36	the	the	DET
cuesj-577	192	37	acf	acf	NOUN
cuesj-577	192	38	of	of	ADP
cuesj-577	192	39	the	the	DET
cuesj-577	192	40	model	model	NOUN
cuesj-577	192	41	’s	’s	PART
cuesj-577	192	42	residuals	residual	NOUN
cuesj-577	192	43	for	for	ADP
cuesj-577	192	44	the	the	DET
cuesj-577	192	45	data	datum	NOUN
cuesj-577	192	46	smoothed	smooth	VERB
cuesj-577	192	47	by	by	ADP
cuesj-577	192	48	the	the	DET
cuesj-577	192	49	daubechies	daubechie	NOUN
cuesj-577	192	50	method	method	VERB
cuesj-577	192	51	.	.	PUNCT
cuesj-577	193	1	it	it	PRON
cuesj-577	193	2	is	be	AUX
cuesj-577	193	3	clear	clear	ADJ
cuesj-577	193	4	from	from	ADP
cuesj-577	193	5	the	the	DET
cuesj-577	193	6	figure	figure	NOUN
cuesj-577	193	7	that	that	SCONJ
cuesj-577	193	8	the	the	DET
cuesj-577	193	9	coefficients	coefficient	NOUN
cuesj-577	193	10	of	of	ADP
cuesj-577	193	11	autocorrelation	autocorrelation	NOUN
cuesj-577	193	12	are	be	AUX
cuesj-577	193	13	not	not	PART
cuesj-577	193	14	table	table	NOUN
cuesj-577	193	15	9	9	NUM
cuesj-577	193	16	:	:	PUNCT
cuesj-577	193	17	arima	arima	PROPN
cuesj-577	193	18	model	model	PROPN
cuesj-577	193	19	summary	summary	PROPN
cuesj-577	193	20	model	model	NOUN
cuesj-577	193	21	model	model	NOUN
cuesj-577	193	22	formula	formula	NOUN
cuesj-577	193	23	parameter	parameter	NOUN
cuesj-577	193	24	estimate	estimate	VERB
cuesj-577	193	25	std	std	PROPN
cuesj-577	193	26	.	.	NOUN
cuesj-577	193	27	error	error	NOUN
cuesj-577	193	28	t	t	NOUN
cuesj-577	193	29	p	p	ADJ
cuesj-577	193	30	-	-	PUNCT
cuesj-577	193	31	value	value	NOUN
cuesj-577	193	32	arima	arima	NOUN
cuesj-577	193	33	(	(	PUNCT
cuesj-577	193	34	0,1,1	0,1,1	NUM
cuesj-577	193	35	)	)	PUNCT
cuesj-577	193	36	y	y	PROPN
cuesj-577	193	37	¼	¼	NOUN
cuesj-577	193	38	y	y	PROPN
cuesj-577	193	39	¸	¸	X
cuesj-577	194	1	e	e	PROPN
cuesj-577	194	2	t	t	PROPN
cuesj-577	194	3	t	t	PROPN
cuesj-577	194	4	t	t	PROPN
cuesj-577	194	5			VERB
cuesj-577	194	6	�	�	PROPN
cuesj-577	194	7	�	�	PROPN
cuesj-577	194	8	�	�	PROPN
cuesj-577	194	9	�	�	PROPN
cuesj-577	194	10	�	�	PROPN
cuesj-577	194	11	1	1	NUM
cuesj-577	194	12	1	1	NUM
cuesj-577	194	13	1	1	NUM
cuesj-577	194	14	θ	θ	PROPN
cuesj-577	194	15	−0.4491	−0.4491	PROPN
cuesj-577	194	16	0.148274	0.148274	NUM
cuesj-577	194	17	−3.02885	−3.02885	NOUN
cuesj-577	194	18	0.004397	0.004397	NUM
cuesj-577	194	19	table	table	NOUN
cuesj-577	194	20	10	10	NUM
cuesj-577	194	21	:	:	PUNCT
cuesj-577	194	22	hypotheses	hypothesis	NOUN
cuesj-577	194	23	and	and	CCONJ
cuesj-577	194	24	probability	probability	NOUN
cuesj-577	194	25	value	value	NOUN
cuesj-577	194	26	for	for	ADP
cuesj-577	194	27	residual	residual	ADJ
cuesj-577	194	28	series	series	PROPN
cuesj-577	194	29	model	model	PROPN
cuesj-577	194	30	series	series	PROPN
cuesj-577	194	31	model	model	PROPN
cuesj-577	194	32	box	box	PROPN
cuesj-577	194	33	-	-	PUNCT
cuesj-577	194	34	pierce	pierce	PROPN
cuesj-577	194	35	test	test	NOUN
cuesj-577	194	36	probability	probability	NOUN
cuesj-577	194	37	value	value	NOUN
cuesj-577	194	38	(	(	PUNCT
cuesj-577	194	39	p	p	NOUN
cuesj-577	194	40	-	-	PUNCT
cuesj-577	194	41	value	value	NOUN
cuesj-577	194	42	)	)	PUNCT
cuesj-577	194	43	natural	natural	ADJ
cuesj-577	194	44	gas	gas	NOUN
cuesj-577	194	45	production	production	NOUN
cuesj-577	194	46	arima	arima	NOUN
cuesj-577	194	47	(	(	PUNCT
cuesj-577	194	48	0,1,1	0,1,1	NOUN
cuesj-577	194	49	)	)	PUNCT
cuesj-577	194	50	5.39691	5.39691	NUM
cuesj-577	194	51	0.943393	0.943393	NUM
cuesj-577	194	52	figure	figure	NOUN
cuesj-577	194	53	10	10	NUM
cuesj-577	194	54	:	:	PUNCT
cuesj-577	194	55	acf	acf	NOUN
cuesj-577	194	56	of	of	ADP
cuesj-577	194	57	the	the	DET
cuesj-577	194	58	residual	residual	ADJ
cuesj-577	194	59	natural	natural	ADJ
cuesj-577	194	60	gas	gas	NOUN
cuesj-577	194	61	production	production	NOUN
cuesj-577	194	62	figure	figure	NOUN
cuesj-577	194	63	11	11	NUM
cuesj-577	194	64	:	:	PUNCT
cuesj-577	194	65	pacf	pacf	NOUN
cuesj-577	194	66	of	of	ADP
cuesj-577	194	67	the	the	DET
cuesj-577	194	68	residual	residual	ADJ
cuesj-577	194	69	natural	natural	ADJ
cuesj-577	194	70	gas	gas	NOUN
cuesj-577	194	71	production	production	NOUN
cuesj-577	194	72	significant	significant	ADJ
cuesj-577	194	73	within	within	ADP
cuesj-577	194	74	the	the	DET
cuesj-577	194	75	confidence	confidence	NOUN
cuesj-577	194	76	,	,	PUNCT
cuesj-577	194	77	meaning	mean	VERB
cuesj-577	194	78	that	that	SCONJ
cuesj-577	194	79	the	the	DET
cuesj-577	194	80	residuals	residual	NOUN
cuesj-577	194	81	show	show	VERB
cuesj-577	194	82	changes	change	NOUN
cuesj-577	194	83	purely	purely	ADV
cuesj-577	194	84	random	random	ADJ
cuesj-577	194	85	.	.	PUNCT
cuesj-577	195	1	symlet	symlet	PROPN
cuesj-577	195	2	wavelet	wavelet	PROPN
cuesj-577	195	3	figure	figure	NOUN
cuesj-577	195	4	20	20	NUM
cuesj-577	195	5	shows	show	VERB
cuesj-577	195	6	the	the	DET
cuesj-577	195	7	time	time	NOUN
cuesj-577	195	8	series	series	NOUN
cuesj-577	195	9	number	number	NOUN
cuesj-577	195	10	of	of	ADP
cuesj-577	195	11	the	the	DET
cuesj-577	195	12	actual	actual	ADJ
cuesj-577	195	13	data	datum	NOUN
cuesj-577	195	14	and	and	CCONJ
cuesj-577	195	15	the	the	DET
cuesj-577	195	16	smooth	smooth	ADJ
cuesj-577	195	17	threshold	threshold	NOUN
cuesj-577	195	18	of	of	ADP
cuesj-577	195	19	the	the	DET
cuesj-577	195	20	symlet	symlet	NOUN
cuesj-577	195	21	wave	wave	NOUN
cuesj-577	195	22	for	for	ADP
cuesj-577	195	23	natural	natural	ADJ
cuesj-577	195	24	gas	gas	NOUN
cuesj-577	195	25	production	production	NOUN
cuesj-577	195	26	in	in	ADP
cuesj-577	195	27	iraq	iraq	PROPN
cuesj-577	195	28	.	.	PUNCT
cuesj-577	196	1	from	from	ADP
cuesj-577	196	2	the	the	DET
cuesj-577	196	3	figure	figure	NOUN
cuesj-577	196	4	,	,	PUNCT
cuesj-577	196	5	it	it	PRON
cuesj-577	196	6	can	can	AUX
cuesj-577	196	7	be	be	AUX
cuesj-577	196	8	seen	see	VERB
cuesj-577	196	9	that	that	SCONJ
cuesj-577	196	10	the	the	DET
cuesj-577	196	11	difference	difference	NOUN
cuesj-577	196	12	between	between	ADP
cuesj-577	196	13	the	the	DET
cuesj-577	196	14	actual	actual	ADJ
cuesj-577	196	15	data	datum	NOUN
cuesj-577	196	16	and	and	CCONJ
cuesj-577	196	17	the	the	DET
cuesj-577	196	18	smoothed	smooth	VERB
cuesj-577	196	19	data	datum	NOUN
cuesj-577	196	20	are	be	AUX
cuesj-577	196	21	small	small	ADJ
cuesj-577	196	22	in	in	ADP
cuesj-577	196	23	a	a	DET
cuesj-577	196	24	symlet	symlet	ADJ
cuesj-577	196	25	way	way	NOUN
cuesj-577	196	26	and	and	CCONJ
cuesj-577	196	27	this	this	PRON
cuesj-577	196	28	indicates	indicate	VERB
cuesj-577	196	29	that	that	SCONJ
cuesj-577	196	30	the	the	DET
cuesj-577	196	31	data	data	NOUN
cuesj-577	196	32	shape	shape	NOUN
cuesj-577	196	33	is	be	AUX
cuesj-577	196	34	preserved	preserve	VERB
cuesj-577	196	35	as	as	SCONJ
cuesj-577	196	36	it	it	PRON
cuesj-577	196	37	can	can	AUX
cuesj-577	196	38	be	be	AUX
cuesj-577	196	39	seen	see	VERB
cuesj-577	196	40	from	from	ADP
cuesj-577	196	41	the	the	DET
cuesj-577	196	42	figure	figure	NOUN
cuesj-577	196	43	that	that	SCONJ
cuesj-577	196	44	there	there	PRON
cuesj-577	196	45	are	be	VERB
cuesj-577	196	46	more	more	ADJ
cuesj-577	196	47	blackness	blackness	NOUN
cuesj-577	196	48	and	and	CCONJ
cuesj-577	196	49	less	less	ADJ
cuesj-577	196	50	noise	noise	NOUN
cuesj-577	196	51	.	.	PUNCT
cuesj-577	197	1	hussein	hussein	PROPN
cuesj-577	197	2	:	:	PUNCT
cuesj-577	198	1	comparison	comparison	NOUN
cuesj-577	198	2	of	of	ADP
cuesj-577	198	3	time	time	NOUN
cuesj-577	198	4	series	series	NOUN
cuesj-577	198	5	models	model	NOUN
cuesj-577	198	6	before	before	ADP
cuesj-577	198	7	and	and	CCONJ
cuesj-577	198	8	after	after	ADP
cuesj-577	198	9	using	use	VERB
cuesj-577	198	10	wavelet	wavelet	NOUN
cuesj-577	198	11	shrinkage	shrinkage	NOUN
cuesj-577	198	12	filtering	filter	VERB
cuesj-577	198	13	40	40	NUM
cuesj-577	198	14	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-577	198	15	cuesj	cuesj	ADJ
cuesj-577	198	16	2022	2022	NUM
cuesj-577	198	17	,	,	PUNCT
cuesj-577	198	18	6	6	NUM
cuesj-577	198	19	(	(	PUNCT
cuesj-577	198	20	1	1	NUM
cuesj-577	198	21	):	):	PUNCT
cuesj-577	198	22	32	32	NUM
cuesj-577	198	23	-	-	SYM
cuesj-577	198	24	46	46	NUM
cuesj-577	198	25	figure	figure	NOUN
cuesj-577	198	26	12	12	NUM
cuesj-577	198	27	:	:	PUNCT
cuesj-577	198	28	the	the	DET
cuesj-577	198	29	sequence	sequence	NOUN
cuesj-577	198	30	plot	plot	NOUN
cuesj-577	198	31	for	for	ADP
cuesj-577	198	32	the	the	DET
cuesj-577	198	33	gas	gas	NOUN
cuesj-577	198	34	production	production	NOUN
cuesj-577	198	35	of	of	ADP
cuesj-577	198	36	armia(0,1,1	armia(0,1,1	PROPN
cuesj-577	198	37	)	)	PUNCT
cuesj-577	198	38	it	it	PRON
cuesj-577	198	39	is	be	AUX
cuesj-577	198	40	clear	clear	ADJ
cuesj-577	198	41	from	from	ADP
cuesj-577	198	42	table	table	NOUN
cuesj-577	198	43	13	13	NUM
cuesj-577	198	44	the	the	DET
cuesj-577	198	45	significance	significance	NOUN
cuesj-577	198	46	of	of	ADP
cuesj-577	198	47	the	the	DET
cuesj-577	198	48	calculated	calculated	ADJ
cuesj-577	198	49	parameters	parameter	NOUN
cuesj-577	198	50	and	and	CCONJ
cuesj-577	198	51	the	the	DET
cuesj-577	198	52	implementation	implementation	NOUN
cuesj-577	198	53	of	of	ADP
cuesj-577	198	54	the	the	DET
cuesj-577	198	55	condition	condition	NOUN
cuesj-577	198	56	of	of	ADP
cuesj-577	198	57	stationary	stationary	NOUN
cuesj-577	198	58	,	,	PUNCT
cuesj-577	198	59	as	as	SCONJ
cuesj-577	198	60	the	the	DET
cuesj-577	198	61	absolute	absolute	ADJ
cuesj-577	198	62	values	value	NOUN
cuesj-577	198	63	are	be	AUX
cuesj-577	198	64	<	<	X
cuesj-577	198	65	1	1	NUM
cuesj-577	198	66	.	.	PUNCT
cuesj-577	198	67	figures	figure	NOUN
cuesj-577	198	68	21	21	NUM
cuesj-577	198	69	and	and	CCONJ
cuesj-577	198	70	22	22	NUM
cuesj-577	198	71	show	show	VERB
cuesj-577	198	72	the	the	DET
cuesj-577	198	73	acf	acf	NOUN
cuesj-577	198	74	of	of	ADP
cuesj-577	198	75	the	the	DET
cuesj-577	198	76	model	model	NOUN
cuesj-577	198	77	’s	’s	PART
cuesj-577	198	78	residuals	residual	NOUN
cuesj-577	198	79	for	for	ADP
cuesj-577	198	80	the	the	DET
cuesj-577	198	81	data	datum	NOUN
cuesj-577	198	82	smoothed	smooth	VERB
cuesj-577	198	83	by	by	ADP
cuesj-577	198	84	the	the	DET
cuesj-577	198	85	symlet	symlet	NOUN
cuesj-577	198	86	method	method	NOUN
cuesj-577	198	87	.	.	PUNCT
cuesj-577	199	1	it	it	PRON
cuesj-577	199	2	is	be	AUX
cuesj-577	199	3	clear	clear	ADJ
cuesj-577	199	4	from	from	ADP
cuesj-577	199	5	the	the	DET
cuesj-577	199	6	figure	figure	NOUN
cuesj-577	199	7	that	that	SCONJ
cuesj-577	199	8	the	the	DET
cuesj-577	199	9	coefficients	coefficient	NOUN
cuesj-577	199	10	of	of	ADP
cuesj-577	199	11	autocorrelation	autocorrelation	NOUN
cuesj-577	199	12	are	be	AUX
cuesj-577	199	13	not	not	PART
cuesj-577	199	14	significant	significant	ADJ
cuesj-577	199	15	within	within	ADP
cuesj-577	199	16	the	the	DET
cuesj-577	199	17	confidence	confidence	NOUN
cuesj-577	199	18	,	,	PUNCT
cuesj-577	199	19	indicating	indicate	VERB
cuesj-577	199	20	that	that	SCONJ
cuesj-577	199	21	the	the	DET
cuesj-577	199	22	residuals	residual	NOUN
cuesj-577	199	23	show	show	VERB
cuesj-577	199	24	changes	change	NOUN
cuesj-577	199	25	purely	purely	ADV
cuesj-577	199	26	random	random	ADJ
cuesj-577	199	27	.	.	PUNCT
cuesj-577	200	1	coiflets	coiflet	NOUN
cuesj-577	200	2	wavelet	wavelet	NOUN
cuesj-577	200	3	figure	figure	NOUN
cuesj-577	200	4	23	23	NUM
cuesj-577	200	5	shows	show	VERB
cuesj-577	200	6	the	the	DET
cuesj-577	200	7	time	time	NOUN
cuesj-577	200	8	series	series	NOUN
cuesj-577	200	9	number	number	NOUN
cuesj-577	200	10	of	of	ADP
cuesj-577	200	11	the	the	DET
cuesj-577	200	12	original	original	ADJ
cuesj-577	200	13	data	datum	NOUN
cuesj-577	200	14	and	and	CCONJ
cuesj-577	200	15	the	the	DET
cuesj-577	200	16	smooth	smooth	ADJ
cuesj-577	200	17	threshold	threshold	NOUN
cuesj-577	200	18	of	of	ADP
cuesj-577	200	19	the	the	DET
cuesj-577	200	20	coiflets	coiflet	NOUN
cuesj-577	200	21	wave	wave	VERB
cuesj-577	200	22	for	for	ADP
cuesj-577	200	23	natural	natural	ADJ
cuesj-577	200	24	gas	gas	NOUN
cuesj-577	200	25	production	production	NOUN
cuesj-577	200	26	in	in	ADP
cuesj-577	200	27	iraq	iraq	PROPN
cuesj-577	200	28	.	.	PUNCT
cuesj-577	201	1	it	it	PRON
cuesj-577	201	2	is	be	AUX
cuesj-577	201	3	clear	clear	ADJ
cuesj-577	201	4	from	from	ADP
cuesj-577	201	5	the	the	DET
cuesj-577	201	6	figure	figure	NOUN
cuesj-577	201	7	that	that	SCONJ
cuesj-577	201	8	the	the	DET
cuesj-577	201	9	difference	difference	NOUN
cuesj-577	201	10	between	between	ADP
cuesj-577	201	11	the	the	DET
cuesj-577	201	12	original	original	ADJ
cuesj-577	201	13	data	datum	NOUN
cuesj-577	201	14	and	and	CCONJ
cuesj-577	201	15	the	the	DET
cuesj-577	201	16	smoothed	smoothed	ADJ
cuesj-577	201	17	data	datum	NOUN
cuesj-577	201	18	is	be	AUX
cuesj-577	201	19	small	small	ADJ
cuesj-577	201	20	in	in	ADP
cuesj-577	201	21	a	a	DET
cuesj-577	201	22	coiflet	coiflet	NOUN
cuesj-577	201	23	fashion	fashion	NOUN
cuesj-577	201	24	,	,	PUNCT
cuesj-577	201	25	and	and	CCONJ
cuesj-577	201	26	this	this	PRON
cuesj-577	201	27	indicates	indicate	VERB
cuesj-577	201	28	that	that	SCONJ
cuesj-577	201	29	the	the	DET
cuesj-577	201	30	data	data	NOUN
cuesj-577	201	31	shape	shape	NOUN
cuesj-577	201	32	is	be	AUX
cuesj-577	201	33	preserved	preserve	VERB
cuesj-577	201	34	,	,	PUNCT
cuesj-577	201	35	as	as	SCONJ
cuesj-577	201	36	it	it	PRON
cuesj-577	201	37	is	be	AUX
cuesj-577	201	38	clear	clear	ADJ
cuesj-577	201	39	from	from	ADP
cuesj-577	201	40	the	the	DET
cuesj-577	201	41	figure	figure	NOUN
cuesj-577	201	42	that	that	SCONJ
cuesj-577	201	43	there	there	PRON
cuesj-577	201	44	are	be	VERB
cuesj-577	201	45	more	more	ADJ
cuesj-577	201	46	blackness	blackness	NOUN
cuesj-577	201	47	and	and	CCONJ
cuesj-577	201	48	less	less	ADJ
cuesj-577	201	49	noise	noise	NOUN
cuesj-577	201	50	.	.	PUNCT
cuesj-577	202	1	from	from	ADP
cuesj-577	202	2	table	table	NOUN
cuesj-577	202	3	14	14	NUM
cuesj-577	202	4	,	,	PUNCT
cuesj-577	202	5	the	the	DET
cuesj-577	202	6	meaning	meaning	NOUN
cuesj-577	202	7	of	of	ADP
cuesj-577	202	8	the	the	DET
cuesj-577	202	9	calculated	calculated	ADJ
cuesj-577	202	10	parameters	parameter	NOUN
cuesj-577	202	11	and	and	CCONJ
cuesj-577	202	12	the	the	DET
cuesj-577	202	13	implementation	implementation	NOUN
cuesj-577	202	14	of	of	ADP
cuesj-577	202	15	the	the	DET
cuesj-577	202	16	stationary	stationary	ADJ
cuesj-577	202	17	condition	condition	NOUN
cuesj-577	202	18	becomes	become	VERB
cuesj-577	202	19	table	table	NOUN
cuesj-577	202	20	11	11	NUM
cuesj-577	202	21	:	:	PUNCT
cuesj-577	202	22	model	model	NOUN
cuesj-577	202	23	estimation	estimation	NOUN
cuesj-577	202	24	arima	arima	PROPN
cuesj-577	202	25	(	(	PUNCT
cuesj-577	202	26	0,1,1	0,1,1	NUM
cuesj-577	202	27	)	)	PUNCT
cuesj-577	202	28	for	for	ADP
cuesj-577	202	29	natural	natural	ADJ
cuesj-577	202	30	gas	gas	NOUN
cuesj-577	202	31	production	production	NOUN
cuesj-577	202	32	data	datum	NOUN
cuesj-577	202	33	using	use	VERB
cuesj-577	202	34	haar	haar	PROPN
cuesj-577	202	35	method	method	PROPN
cuesj-577	202	36	model	model	NOUN
cuesj-577	202	37	parameter	parameter	NOUN
cuesj-577	202	38	estimate	estimate	NOUN
cuesj-577	202	39	std	std	PROPN
cuesj-577	202	40	.	.	NOUN
cuesj-577	202	41	error	error	NOUN
cuesj-577	202	42	t	t	NOUN
cuesj-577	202	43	p	p	NOUN
cuesj-577	202	44	-	-	PUNCT
cuesj-577	202	45	value	value	NOUN
cuesj-577	202	46	aic	aic	PROPN
cuesj-577	202	47	hqc	hqc	ADP
cuesj-577	202	48	sbic	sbic	PROPN
cuesj-577	202	49	haar	haar	PROPN
cuesj-577	202	50	arima	arima	PROPN
cuesj-577	202	51	(	(	PUNCT
cuesj-577	202	52	0,1,1	0,1,1	NUM
cuesj-577	202	53	)	)	PUNCT
cuesj-577	202	54	θ	θ	PROPN
cuesj-577	202	55	−0.437605	−0.437605	NOUN
cuesj-577	202	56	0.149145	0.149145	NUM
cuesj-577	202	57	−2.9341	−2.9341	NUM
cuesj-577	202	58	0.00565	0.00565	NUM
cuesj-577	202	59	7.00141	7.00141	NUM
cuesj-577	202	60	7.01667	7.01667	NUM
cuesj-577	202	61	7.04363	7.04363	NUM
cuesj-577	202	62	figure	figure	NOUN
cuesj-577	202	63	13	13	NUM
cuesj-577	202	64	:	:	PUNCT
cuesj-577	202	65	forecasting	forecast	VERB
cuesj-577	202	66	plot	plot	NOUN
cuesj-577	202	67	for	for	ADP
cuesj-577	202	68	the	the	DET
cuesj-577	202	69	gas	gas	NOUN
cuesj-577	202	70	production	production	NOUN
cuesj-577	202	71	of	of	ADP
cuesj-577	202	72	armia	armia	NOUN
cuesj-577	202	73	(	(	PUNCT
cuesj-577	202	74	0,1,1	0,1,1	NOUN
cuesj-577	202	75	)	)	PUNCT
cuesj-577	202	76	figure	figure	NOUN
cuesj-577	202	77	14	14	NUM
cuesj-577	202	78	:	:	PUNCT
cuesj-577	202	79	time	time	NOUN
cuesj-577	202	80	series	series	NOUN
cuesj-577	202	81	of	of	ADP
cuesj-577	202	82	original	original	ADJ
cuesj-577	202	83	data	datum	NOUN
cuesj-577	202	84	and	and	CCONJ
cuesj-577	202	85	haar	haar	PROPN
cuesj-577	202	86	wavelet	wavelet	NOUN
cuesj-577	202	87	soft	soft	ADJ
cuesj-577	202	88	threshold	threshold	NOUN
cuesj-577	202	89	for	for	ADP
cuesj-577	202	90	natural	natural	ADJ
cuesj-577	202	91	gas	gas	NOUN
cuesj-577	202	92	production	production	NOUN
cuesj-577	202	93	figure	figure	NOUN
cuesj-577	202	94	15	15	NUM
cuesj-577	202	95	:	:	PUNCT
cuesj-577	202	96	acf	acf	NOUN
cuesj-577	202	97	for	for	ADP
cuesj-577	202	98	arima	arima	PROPN
cuesj-577	202	99	(	(	PUNCT
cuesj-577	202	100	0,1,1	0,1,1	NUM
cuesj-577	202	101	)	)	PUNCT
cuesj-577	202	102	use	use	VERB
cuesj-577	202	103	haar	haar	NOUN
cuesj-577	202	104	method	method	PROPN
cuesj-577	202	105	figure	figure	NOUN
cuesj-577	202	106	16	16	NUM
cuesj-577	202	107	:	:	PUNCT
cuesj-577	202	108	pacf	pacf	NOUN
cuesj-577	202	109	for	for	ADP
cuesj-577	202	110	arima	arima	PROPN
cuesj-577	202	111	(	(	PUNCT
cuesj-577	202	112	0,1,1	0,1,1	NUM
cuesj-577	202	113	)	)	PUNCT
cuesj-577	202	114	use	use	VERB
cuesj-577	202	115	haar	haar	NOUN
cuesj-577	202	116	method	method	PROPN
cuesj-577	202	117	hussein	hussein	NOUN
cuesj-577	202	118	:	:	PUNCT
cuesj-577	202	119	comparison	comparison	NOUN
cuesj-577	202	120	of	of	ADP
cuesj-577	202	121	time	time	NOUN
cuesj-577	202	122	series	series	NOUN
cuesj-577	202	123	models	model	NOUN
cuesj-577	202	124	before	before	ADP
cuesj-577	202	125	and	and	CCONJ
cuesj-577	202	126	after	after	ADP
cuesj-577	202	127	using	use	VERB
cuesj-577	202	128	wavelet	wavelet	NOUN
cuesj-577	202	129	shrinkage	shrinkage	NOUN
cuesj-577	202	130	filtering	filter	VERB
cuesj-577	202	131	41	41	NUM
cuesj-577	202	132	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-577	202	133	cuesj	cuesj	ADJ
cuesj-577	202	134	2022	2022	NUM
cuesj-577	202	135	,	,	PUNCT
cuesj-577	202	136	6	6	NUM
cuesj-577	202	137	(	(	PUNCT
cuesj-577	202	138	1	1	NUM
cuesj-577	202	139	):	):	PUNCT
cuesj-577	202	140	32	32	NUM
cuesj-577	202	141	-	-	SYM
cuesj-577	202	142	46	46	NUM
cuesj-577	202	143	clear	clear	ADJ
cuesj-577	202	144	,	,	PUNCT
cuesj-577	202	145	since	since	SCONJ
cuesj-577	202	146	the	the	DET
cuesj-577	202	147	absolute	absolute	ADJ
cuesj-577	202	148	values	value	NOUN
cuesj-577	202	149	are	be	AUX
cuesj-577	202	150	<	<	X
cuesj-577	202	151	1	1	NUM
cuesj-577	202	152	.	.	PUNCT
cuesj-577	202	153	figures	figure	NOUN
cuesj-577	202	154	24	24	NUM
cuesj-577	202	155	and	and	CCONJ
cuesj-577	202	156	25	25	NUM
cuesj-577	202	157	show	show	VERB
cuesj-577	202	158	the	the	DET
cuesj-577	202	159	acf	acf	NOUN
cuesj-577	202	160	of	of	ADP
cuesj-577	202	161	the	the	DET
cuesj-577	202	162	model	model	NOUN
cuesj-577	202	163	residuals	residual	NOUN
cuesj-577	202	164	for	for	ADP
cuesj-577	202	165	the	the	DET
cuesj-577	202	166	data	datum	NOUN
cuesj-577	202	167	smoothed	smooth	VERB
cuesj-577	202	168	with	with	ADP
cuesj-577	202	169	the	the	DET
cuesj-577	202	170	coiflets	coiflet	NOUN
cuesj-577	202	171	method	method	NOUN
cuesj-577	202	172	.	.	PUNCT
cuesj-577	203	1	it	it	PRON
cuesj-577	203	2	is	be	AUX
cuesj-577	203	3	clear	clear	ADJ
cuesj-577	203	4	from	from	ADP
cuesj-577	203	5	the	the	DET
cuesj-577	203	6	figure	figure	NOUN
cuesj-577	203	7	that	that	SCONJ
cuesj-577	203	8	the	the	DET
cuesj-577	203	9	autocorrelation	autocorrelation	NOUN
cuesj-577	203	10	coefficients	coefficient	VERB
cuesj-577	203	11	within	within	ADP
cuesj-577	203	12	the	the	DET
cuesj-577	203	13	confidence	confidence	NOUN
cuesj-577	203	14	are	be	AUX
cuesj-577	203	15	not	not	PART
cuesj-577	203	16	significant	significant	ADJ
cuesj-577	203	17	,	,	PUNCT
cuesj-577	203	18	indicating	indicate	VERB
cuesj-577	203	19	that	that	SCONJ
cuesj-577	203	20	the	the	DET
cuesj-577	203	21	residuals	residual	NOUN
cuesj-577	203	22	show	show	VERB
cuesj-577	203	23	purely	purely	ADV
cuesj-577	203	24	random	random	ADJ
cuesj-577	203	25	changes	change	NOUN
cuesj-577	203	26	.	.	PUNCT
cuesj-577	204	1	meyer	meyer	PROPN
cuesj-577	204	2	d	d	PROPN
cuesj-577	204	3	wavelet	wavelet	PROPN
cuesj-577	204	4	figure	figure	NOUN
cuesj-577	204	5	26	26	NUM
cuesj-577	204	6	shows	show	VERB
cuesj-577	204	7	the	the	DET
cuesj-577	204	8	time	time	NOUN
cuesj-577	204	9	series	series	NOUN
cuesj-577	204	10	number	number	NOUN
cuesj-577	204	11	of	of	ADP
cuesj-577	204	12	the	the	DET
cuesj-577	204	13	original	original	ADJ
cuesj-577	204	14	data	datum	NOUN
cuesj-577	204	15	and	and	CCONJ
cuesj-577	204	16	the	the	DET
cuesj-577	204	17	smooth	smooth	ADJ
cuesj-577	204	18	threshold	threshold	NOUN
cuesj-577	204	19	of	of	ADP
cuesj-577	204	20	the	the	DET
cuesj-577	204	21	meyer	meyer	PROPN
cuesj-577	204	22	d	d	PROPN
cuesj-577	204	23	wave	wave	NOUN
cuesj-577	204	24	for	for	ADP
cuesj-577	204	25	natural	natural	ADJ
cuesj-577	204	26	gas	gas	NOUN
cuesj-577	204	27	production	production	NOUN
cuesj-577	204	28	in	in	ADP
cuesj-577	204	29	iraq	iraq	PROPN
cuesj-577	204	30	.	.	PUNCT
cuesj-577	205	1	it	it	PRON
cuesj-577	205	2	is	be	AUX
cuesj-577	205	3	clear	clear	ADJ
cuesj-577	205	4	from	from	ADP
cuesj-577	205	5	the	the	DET
cuesj-577	205	6	figure	figure	NOUN
cuesj-577	205	7	that	that	SCONJ
cuesj-577	205	8	the	the	DET
cuesj-577	205	9	difference	difference	NOUN
cuesj-577	205	10	between	between	ADP
cuesj-577	205	11	the	the	DET
cuesj-577	205	12	raw	raw	ADJ
cuesj-577	205	13	data	datum	NOUN
cuesj-577	205	14	and	and	CCONJ
cuesj-577	205	15	the	the	DET
cuesj-577	205	16	smoothed	smoothed	ADJ
cuesj-577	205	17	data	datum	NOUN
cuesj-577	205	18	in	in	ADP
cuesj-577	205	19	the	the	DET
cuesj-577	205	20	meyer	meyer	PROPN
cuesj-577	205	21	-	-	PUNCT
cuesj-577	205	22	d	d	PROPN
cuesj-577	205	23	method	method	NOUN
cuesj-577	205	24	is	be	AUX
cuesj-577	205	25	small	small	ADJ
cuesj-577	205	26	,	,	PUNCT
cuesj-577	205	27	and	and	CCONJ
cuesj-577	205	28	this	this	PRON
cuesj-577	205	29	indicates	indicate	VERB
cuesj-577	205	30	that	that	SCONJ
cuesj-577	205	31	the	the	DET
cuesj-577	205	32	data	data	NOUN
cuesj-577	205	33	shape	shape	NOUN
cuesj-577	205	34	is	be	AUX
cuesj-577	205	35	preserved	preserve	VERB
cuesj-577	205	36	,	,	PUNCT
cuesj-577	205	37	since	since	SCONJ
cuesj-577	205	38	it	it	PRON
cuesj-577	205	39	is	be	AUX
cuesj-577	205	40	clear	clear	ADJ
cuesj-577	205	41	from	from	ADP
cuesj-577	205	42	the	the	DET
cuesj-577	205	43	figure	figure	NOUN
cuesj-577	205	44	that	that	SCONJ
cuesj-577	205	45	there	there	PRON
cuesj-577	205	46	are	be	VERB
cuesj-577	205	47	more	more	ADJ
cuesj-577	205	48	blackness	blackness	NOUN
cuesj-577	205	49	and	and	CCONJ
cuesj-577	205	50	less	less	ADJ
cuesj-577	205	51	noise	noise	NOUN
cuesj-577	205	52	there	there	ADV
cuesj-577	205	53	.	.	PUNCT
cuesj-577	206	1	from	from	ADP
cuesj-577	206	2	table	table	NOUN
cuesj-577	206	3	15	15	NUM
cuesj-577	206	4	,	,	PUNCT
cuesj-577	206	5	the	the	DET
cuesj-577	206	6	meaning	meaning	NOUN
cuesj-577	206	7	of	of	ADP
cuesj-577	206	8	the	the	DET
cuesj-577	206	9	estimated	estimate	VERB
cuesj-577	206	10	parameters	parameter	NOUN
cuesj-577	206	11	and	and	CCONJ
cuesj-577	206	12	the	the	DET
cuesj-577	206	13	implementation	implementation	NOUN
cuesj-577	206	14	of	of	ADP
cuesj-577	206	15	the	the	DET
cuesj-577	206	16	steady	steady	ADJ
cuesj-577	206	17	-	-	PUNCT
cuesj-577	206	18	state	state	NOUN
cuesj-577	206	19	condition	condition	NOUN
cuesj-577	206	20	becomes	become	VERB
cuesj-577	206	21	clear	clear	ADJ
cuesj-577	206	22	,	,	PUNCT
cuesj-577	206	23	since	since	SCONJ
cuesj-577	206	24	the	the	DET
cuesj-577	206	25	absolute	absolute	ADJ
cuesj-577	206	26	values	value	NOUN
cuesj-577	206	27	are	be	AUX
cuesj-577	206	28	<	<	X
cuesj-577	206	29	1	1	NUM
cuesj-577	206	30	figures	figure	NOUN
cuesj-577	206	31	27	27	NUM
cuesj-577	206	32	and	and	CCONJ
cuesj-577	206	33	28	28	NUM
cuesj-577	206	34	show	show	VERB
cuesj-577	206	35	the	the	DET
cuesj-577	206	36	acf	acf	NOUN
cuesj-577	206	37	of	of	ADP
cuesj-577	206	38	the	the	DET
cuesj-577	206	39	model	model	NOUN
cuesj-577	206	40	residuals	residual	NOUN
cuesj-577	206	41	for	for	ADP
cuesj-577	206	42	the	the	DET
cuesj-577	206	43	data	datum	NOUN
cuesj-577	206	44	smoothed	smooth	VERB
cuesj-577	206	45	with	with	ADP
cuesj-577	206	46	the	the	DET
cuesj-577	206	47	meyer	meyer	PROPN
cuesj-577	206	48	-	-	PUNCT
cuesj-577	206	49	d	d	PROPN
cuesj-577	206	50	method	method	NOUN
cuesj-577	206	51	.	.	PUNCT
cuesj-577	207	1	from	from	ADP
cuesj-577	207	2	the	the	DET
cuesj-577	207	3	figure	figure	NOUN
cuesj-577	207	4	,	,	PUNCT
cuesj-577	207	5	it	it	PRON
cuesj-577	207	6	is	be	AUX
cuesj-577	207	7	clear	clear	ADJ
cuesj-577	207	8	that	that	SCONJ
cuesj-577	207	9	the	the	PRON
cuesj-577	207	10	within	within	ADP
cuesj-577	207	11	confidence	confidence	NOUN
cuesj-577	207	12	autocorrelation	autocorrelation	NOUN
cuesj-577	207	13	coefficients	coefficient	NOUN
cuesj-577	207	14	are	be	AUX
cuesj-577	207	15	not	not	PART
cuesj-577	207	16	significant	significant	ADJ
cuesj-577	207	17	,	,	PUNCT
cuesj-577	207	18	this	this	PRON
cuesj-577	207	19	means	mean	VERB
cuesj-577	207	20	that	that	SCONJ
cuesj-577	207	21	the	the	DET
cuesj-577	207	22	residuals	residual	NOUN
cuesj-577	207	23	show	show	VERB
cuesj-577	207	24	purely	purely	ADV
cuesj-577	207	25	random	random	ADJ
cuesj-577	207	26	changes	change	NOUN
cuesj-577	207	27	.	.	PUNCT
cuesj-577	208	1	comparison	comparison	NOUN
cuesj-577	208	2	between	between	ADP
cuesj-577	208	3	model	model	NOUN
cuesj-577	208	4	estimation	estimation	NOUN
cuesj-577	208	5	in	in	ADP
cuesj-577	208	6	this	this	DET
cuesj-577	208	7	part	part	NOUN
cuesj-577	208	8	,	,	PUNCT
cuesj-577	208	9	a	a	DET
cuesj-577	208	10	comparison	comparison	NOUN
cuesj-577	208	11	is	be	AUX
cuesj-577	208	12	made	make	VERB
cuesj-577	208	13	between	between	ADP
cuesj-577	208	14	a	a	DET
cuesj-577	208	15	model	model	NOUN
cuesj-577	208	16	arima	arima	NOUN
cuesj-577	208	17	(	(	PUNCT
cuesj-577	208	18	0,1,1	0,1,1	NOUN
cuesj-577	208	19	)	)	PUNCT
cuesj-577	208	20	of	of	ADP
cuesj-577	208	21	the	the	DET
cuesj-577	208	22	original	original	ADJ
cuesj-577	208	23	data	datum	NOUN
cuesj-577	208	24	for	for	ADP
cuesj-577	208	25	the	the	DET
cuesj-577	208	26	production	production	NOUN
cuesj-577	208	27	of	of	ADP
cuesj-577	208	28	natural	natural	ADJ
cuesj-577	208	29	gas	gas	NOUN
cuesj-577	208	30	in	in	ADP
cuesj-577	208	31	iraq	iraq	PROPN
cuesj-577	208	32	and	and	CCONJ
cuesj-577	208	33	a	a	DET
cuesj-577	208	34	model	model	NOUN
cuesj-577	208	35	arima	arima	NOUN
cuesj-577	208	36	(	(	PUNCT
cuesj-577	208	37	0,1,1	0,1,1	NOUN
cuesj-577	208	38	)	)	PUNCT
cuesj-577	208	39	of	of	ADP
cuesj-577	208	40	the	the	DET
cuesj-577	208	41	paved	paved	ADJ
cuesj-577	208	42	data	datum	NOUN
cuesj-577	208	43	in	in	ADP
cuesj-577	208	44	a	a	DET
cuesj-577	208	45	methods	method	NOUN
cuesj-577	208	46	(	(	PUNCT
cuesj-577	208	47	haar	haar	PROPN
cuesj-577	208	48	,	,	PUNCT
cuesj-577	208	49	daubechies	daubechie	NOUN
cuesj-577	208	50	,	,	PUNCT
cuesj-577	208	51	symlet	symlet	PROPN
cuesj-577	208	52	,	,	PUNCT
cuesj-577	208	53	coiflets	coiflet	NOUN
cuesj-577	208	54	,	,	PUNCT
cuesj-577	208	55	and	and	CCONJ
cuesj-577	208	56	meyer	meyer	PROPN
cuesj-577	208	57	d	d	PROPN
cuesj-577	208	58	)	)	PUNCT
cuesj-577	208	59	from	from	ADP
cuesj-577	208	60	table	table	NOUN
cuesj-577	208	61	16	16	NUM
cuesj-577	208	62	that	that	SCONJ
cuesj-577	208	63	the	the	DET
cuesj-577	208	64	values	value	NOUN
cuesj-577	208	65	of	of	ADP
cuesj-577	208	66	aic	aic	PROPN
cuesj-577	208	67	,	,	PUNCT
cuesj-577	208	68	hqc	hqc	INTJ
cuesj-577	208	69	,	,	PUNCT
cuesj-577	208	70	and	and	CCONJ
cuesj-577	208	71	sbic	sbic	ADJ
cuesj-577	208	72	decrease	decrease	NOUN
cuesj-577	208	73	between	between	ADP
cuesj-577	208	74	the	the	DET
cuesj-577	208	75	models	model	NOUN
cuesj-577	208	76	,	,	PUNCT
cuesj-577	208	77	since	since	SCONJ
cuesj-577	208	78	the	the	DET
cuesj-577	208	79	values	value	NOUN
cuesj-577	208	80	of	of	ADP
cuesj-577	208	81	aic	aic	PROPN
cuesj-577	208	82	=	=	PROPN
cuesj-577	208	83	7.04975	7.04975	NUM
cuesj-577	208	84	,	,	PUNCT
cuesj-577	208	85	hqc	hqc	ADV
cuesj-577	208	86	=	=	SYM
cuesj-577	208	87	7.06501	7.06501	NUM
cuesj-577	208	88	,	,	PUNCT
cuesj-577	208	89	and	and	CCONJ
cuesj-577	208	90	sbic	sbic	NOUN
cuesj-577	208	91	=	=	NOUN
cuesj-577	208	92	7.09197	7.09197	NUM
cuesj-577	208	93	before	before	ADP
cuesj-577	208	94	using	use	VERB
cuesj-577	208	95	the	the	DET
cuesj-577	208	96	wavelet	wavelet	NOUN
cuesj-577	208	97	,	,	PUNCT
cuesj-577	208	98	while	while	SCONJ
cuesj-577	208	99	the	the	DET
cuesj-577	208	100	values	value	NOUN
cuesj-577	208	101	of	of	ADP
cuesj-577	208	102	aic	aic	PROPN
cuesj-577	208	103	,	,	PUNCT
cuesj-577	208	104	hqc	hqc	INTJ
cuesj-577	208	105	,	,	PUNCT
cuesj-577	208	106	and	and	CCONJ
cuesj-577	208	107	sbic	sbic	ADJ
cuesj-577	208	108	figure	figure	NOUN
cuesj-577	208	109	17	17	NUM
cuesj-577	208	110	:	:	PUNCT
cuesj-577	208	111	the	the	DET
cuesj-577	208	112	original	original	ADJ
cuesj-577	208	113	data	datum	NOUN
cuesj-577	208	114	time	time	NOUN
cuesj-577	208	115	series	series	NOUN
cuesj-577	208	116	and	and	CCONJ
cuesj-577	208	117	the	the	DET
cuesj-577	208	118	soft	soft	ADJ
cuesj-577	208	119	threshold	threshold	NOUN
cuesj-577	208	120	of	of	ADP
cuesj-577	208	121	daubechies	daubechie	NOUN
cuesj-577	208	122	wavelet	wavelet	NOUN
cuesj-577	208	123	for	for	ADP
cuesj-577	208	124	natural	natural	ADJ
cuesj-577	208	125	gas	gas	NOUN
cuesj-577	208	126	production	production	NOUN
cuesj-577	208	127	hussein	hussein	NOUN
cuesj-577	208	128	:	:	PUNCT
cuesj-577	208	129	comparison	comparison	NOUN
cuesj-577	208	130	of	of	ADP
cuesj-577	208	131	time	time	NOUN
cuesj-577	208	132	series	series	NOUN
cuesj-577	208	133	models	model	NOUN
cuesj-577	208	134	before	before	ADP
cuesj-577	208	135	and	and	CCONJ
cuesj-577	208	136	after	after	ADP
cuesj-577	208	137	using	use	VERB
cuesj-577	208	138	wavelet	wavelet	NOUN
cuesj-577	208	139	shrinkage	shrinkage	NOUN
cuesj-577	208	140	filtering	filter	VERB
cuesj-577	208	141	42	42	NUM
cuesj-577	208	142	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-577	208	143	cuesj	cuesj	ADJ
cuesj-577	208	144	2022	2022	NUM
cuesj-577	208	145	,	,	PUNCT
cuesj-577	208	146	6	6	NUM
cuesj-577	208	147	(	(	PUNCT
cuesj-577	208	148	1	1	NUM
cuesj-577	208	149	):	):	PUNCT
cuesj-577	208	150	32	32	NUM
cuesj-577	208	151	-	-	SYM
cuesj-577	208	152	46	46	NUM
cuesj-577	208	153	table	table	NOUN
cuesj-577	208	154	13	13	NUM
cuesj-577	208	155	:	:	PUNCT
cuesj-577	208	156	model	model	NOUN
cuesj-577	208	157	estimation	estimation	NOUN
cuesj-577	208	158	arima	arima	PROPN
cuesj-577	208	159	(	(	PUNCT
cuesj-577	208	160	0,1,1	0,1,1	NUM
cuesj-577	208	161	)	)	PUNCT
cuesj-577	208	162	for	for	ADP
cuesj-577	208	163	natural	natural	ADJ
cuesj-577	208	164	gas	gas	NOUN
cuesj-577	208	165	production	production	NOUN
cuesj-577	208	166	data	datum	NOUN
cuesj-577	208	167	using	use	VERB
cuesj-577	208	168	symlet	symlet	PROPN
cuesj-577	208	169	method	method	NOUN
cuesj-577	208	170	model	model	NOUN
cuesj-577	208	171	parameter	parameter	NOUN
cuesj-577	208	172	estimate	estimate	NOUN
cuesj-577	208	173	std	std	PROPN
cuesj-577	208	174	.	.	NOUN
cuesj-577	208	175	error	error	NOUN
cuesj-577	208	176	t	t	NOUN
cuesj-577	208	177	p	p	NOUN
cuesj-577	208	178	-	-	PUNCT
cuesj-577	208	179	value	value	NOUN
cuesj-577	208	180	aic	aic	PROPN
cuesj-577	208	181	hqc	hqc	ADP
cuesj-577	208	182	sbic	sbic	ADJ
cuesj-577	208	183	symlet	symlet	NOUN
cuesj-577	208	184	2	2	NUM
cuesj-577	208	185	arima	arima	NOUN
cuesj-577	208	186	(	(	PUNCT
cuesj-577	208	187	0,1,1	0,1,1	NUM
cuesj-577	208	188	)	)	PUNCT
cuesj-577	208	189	θ	θ	PROPN
cuesj-577	209	1	−0.486617	−0.486617	NUM
cuesj-577	209	2	0.146764	0.146764	NUM
cuesj-577	209	3	−3.3157	−3.3157	NOUN
cuesj-577	209	4	0.00202	0.00202	NUM
cuesj-577	209	5	6.91261	6.91261	NUM
cuesj-577	209	6	6.92788	6.92788	NUM
cuesj-577	209	7	6.95484	6.95484	NUM
cuesj-577	209	8	3	3	NUM
cuesj-577	209	9	arima	arima	NOUN
cuesj-577	209	10	(	(	PUNCT
cuesj-577	209	11	0,1,1	0,1,1	NUM
cuesj-577	209	12	)	)	PUNCT
cuesj-577	209	13	θ	θ	PROPN
cuesj-577	209	14	−0.495006	−0.495006	SYM
cuesj-577	209	15	0.146536	0.146536	NUM
cuesj-577	209	16	−3.378	−3.378	NUM
cuesj-577	209	17	0.0017	0.0017	NUM
cuesj-577	209	18	6.9028	6.9028	NUM
cuesj-577	209	19	6.91807	6.91807	NUM
cuesj-577	209	20	6.94502	6.94502	NUM
cuesj-577	209	21	4	4	NUM
cuesj-577	209	22	arima	arima	NOUN
cuesj-577	209	23	(	(	PUNCT
cuesj-577	209	24	0,1,1	0,1,1	NUM
cuesj-577	209	25	)	)	PUNCT
cuesj-577	209	26	θ	θ	NOUN
cuesj-577	209	27	−0.4896	−0.4896	ADP
cuesj-577	209	28	0.146117	0.146117	NUM
cuesj-577	209	29	−3.3507	−3.3507	NOUN
cuesj-577	209	30	0.00183	0.00183	NUM
cuesj-577	210	1	6.89975	6.89975	NUM
cuesj-577	210	2	6.91502	6.91502	NUM
cuesj-577	210	3	6.94198	6.94198	NUM
cuesj-577	210	4	5	5	NUM
cuesj-577	210	5	arima	arima	NOUN
cuesj-577	210	6	(	(	PUNCT
cuesj-577	210	7	0,1,1	0,1,1	NUM
cuesj-577	210	8	)	)	PUNCT
cuesj-577	210	9	θ	θ	NOUN
cuesj-577	211	1	−0.499416	−0.499416	X
cuesj-577	211	2	0.146321	0.146321	NUM
cuesj-577	211	3	−3.4132	−3.4132	PRON
cuesj-577	211	4	0.00154	0.00154	NUM
cuesj-577	211	5	6.88965	6.88965	NUM
cuesj-577	211	6	6.90492	6.90492	NUM
cuesj-577	211	7	6.93187	6.93187	NUM
cuesj-577	211	8	6	6	NUM
cuesj-577	211	9	arima	arima	NOUN
cuesj-577	211	10	(	(	PUNCT
cuesj-577	211	11	0,1,1	0,1,1	NUM
cuesj-577	211	12	)	)	PUNCT
cuesj-577	211	13	θ	θ	NOUN
cuesj-577	212	1	−0.485861	−0.485861	DET
cuesj-577	212	2	0.14574	0.14574	NUM
cuesj-577	212	3	−3.3338	−3.3338	NUM
cuesj-577	212	4	0.00192	0.00192	NUM
cuesj-577	212	5	6.89689	6.89689	NUM
cuesj-577	212	6	6.91215	6.91215	NUM
cuesj-577	212	7	6.93911	6.93911	NUM
cuesj-577	212	8	7	7	NUM
cuesj-577	212	9	arima	arima	NOUN
cuesj-577	212	10	(	(	PUNCT
cuesj-577	212	11	0,1,1	0,1,1	NUM
cuesj-577	212	12	)	)	PUNCT
cuesj-577	212	13	θ	θ	NOUN
cuesj-577	212	14	−0.487812	−0.487812	X
cuesj-577	212	15	0.146686	0.146686	NUM
cuesj-577	212	16	−3.3255	−3.3255	X
cuesj-577	212	17	0.00196	0.00196	NUM
cuesj-577	212	18	6.8857	6.8857	NUM
cuesj-577	212	19	6.90097	6.90097	NUM
cuesj-577	212	20	6.92792	6.92792	NUM
cuesj-577	212	21	8	8	NUM
cuesj-577	212	22	arima	arima	NOUN
cuesj-577	212	23	(	(	PUNCT
cuesj-577	212	24	0,1,1	0,1,1	NUM
cuesj-577	212	25	)	)	PUNCT
cuesj-577	212	26	θ	θ	NOUN
cuesj-577	212	27	−0.488614	−0.488614	NUM
cuesj-577	212	28	0.145876	0.145876	NUM
cuesj-577	212	29	−3.3495	−3.3495	PROPN
cuesj-577	212	30	0.00184	0.00184	NUM
cuesj-577	212	31	6.89811	6.89811	NUM
cuesj-577	212	32	6.91338	6.91338	NUM
cuesj-577	212	33	6.94033	6.94033	NUM
cuesj-577	212	34	table	table	NOUN
cuesj-577	212	35	12	12	NUM
cuesj-577	212	36	:	:	PUNCT
cuesj-577	212	37	model	model	NOUN
cuesj-577	212	38	estimation	estimation	NOUN
cuesj-577	212	39	arima	arima	PROPN
cuesj-577	212	40	(	(	PUNCT
cuesj-577	212	41	0,1,1	0,1,1	NUM
cuesj-577	212	42	)	)	PUNCT
cuesj-577	212	43	for	for	ADP
cuesj-577	212	44	natural	natural	ADJ
cuesj-577	212	45	gas	gas	NOUN
cuesj-577	212	46	production	production	NOUN
cuesj-577	212	47	data	datum	NOUN
cuesj-577	212	48	using	use	VERB
cuesj-577	212	49	daubechies	daubechie	NOUN
cuesj-577	212	50	method	method	NOUN
cuesj-577	212	51	models	model	NOUN
cuesj-577	212	52	parameters	parameter	NOUN
cuesj-577	212	53	estimate	estimate	VERB
cuesj-577	212	54	value	value	NOUN
cuesj-577	212	55	std	std	NOUN
cuesj-577	212	56	.	.	NOUN
cuesj-577	212	57	error	error	NOUN
cuesj-577	212	58	t	t	NOUN
cuesj-577	212	59	-	-	PUNCT
cuesj-577	212	60	test	test	NOUN
cuesj-577	212	61	p	p	NOUN
cuesj-577	212	62	-	-	PUNCT
cuesj-577	212	63	value	value	NOUN
cuesj-577	212	64	aic	aic	PROPN
cuesj-577	212	65	hqc	hqc	ADP
cuesj-577	212	66	sbic	sbic	ADJ
cuesj-577	212	67	daubechies	daubechie	NOUN
cuesj-577	212	68	1	1	NUM
cuesj-577	212	69	arima	arima	PROPN
cuesj-577	212	70	(	(	PUNCT
cuesj-577	212	71	0,1,1	0,1,1	NUM
cuesj-577	212	72	)	)	PUNCT
cuesj-577	212	73	θ	θ	PROPN
cuesj-577	212	74	−0.437605	−0.437605	NOUN
cuesj-577	212	75	0.149145	0.149145	NUM
cuesj-577	212	76	−2.9341	−2.9341	NUM
cuesj-577	212	77	0.00565	0.00565	NUM
cuesj-577	212	78	7.00141	7.00141	NUM
cuesj-577	212	79	7.01667	7.01667	NUM
cuesj-577	212	80	7.04363	7.04363	NUM
cuesj-577	212	81	2	2	NUM
cuesj-577	212	82	arima	arima	NOUN
cuesj-577	212	83	(	(	PUNCT
cuesj-577	212	84	0,1,1	0,1,1	NUM
cuesj-577	212	85	)	)	PUNCT
cuesj-577	212	86	θ	θ	PROPN
cuesj-577	212	87	−0.437605	−0.437605	NOUN
cuesj-577	212	88	0.149145	0.149145	NUM
cuesj-577	212	89	−2.9341	−2.9341	NUM
cuesj-577	212	90	0.00565	0.00565	NUM
cuesj-577	212	91	7.00141	7.00141	NUM
cuesj-577	212	92	7.01667	7.01667	NUM
cuesj-577	212	93	7.04363	7.04363	NUM
cuesj-577	212	94	3	3	NUM
cuesj-577	212	95	arima	arima	NOUN
cuesj-577	212	96	(	(	PUNCT
cuesj-577	212	97	0,1,1	0,1,1	NUM
cuesj-577	212	98	)	)	PUNCT
cuesj-577	212	99	θ	θ	PROPN
cuesj-577	212	100	−0.495006	−0.495006	SYM
cuesj-577	212	101	0.146536	0.146536	NUM
cuesj-577	212	102	−3.378	−3.378	NUM
cuesj-577	212	103	0.0017	0.0017	NUM
cuesj-577	212	104	6.9028	6.9028	NUM
cuesj-577	212	105	6.91807	6.91807	NUM
cuesj-577	212	106	6.94502	6.94502	NUM
cuesj-577	212	107	4	4	NUM
cuesj-577	212	108	arima	arima	NOUN
cuesj-577	212	109	(	(	PUNCT
cuesj-577	212	110	0,1,1	0,1,1	NUM
cuesj-577	212	111	)	)	PUNCT
cuesj-577	212	112	θ	θ	NOUN
cuesj-577	212	113	−0.495876	−0.495876	NOUN
cuesj-577	212	114	0.147017	0.147017	NUM
cuesj-577	212	115	−3.3729	−3.3729	NOUN
cuesj-577	212	116	0.00172	0.00172	NUM
cuesj-577	212	117	6.91675	6.91675	NUM
cuesj-577	212	118	6.93202	6.93202	NUM
cuesj-577	212	119	6.95897	6.95897	NUM
cuesj-577	212	120	5	5	NUM
cuesj-577	212	121	arima	arima	NOUN
cuesj-577	212	122	(	(	PUNCT
cuesj-577	212	123	0,1,1	0,1,1	NUM
cuesj-577	212	124	)	)	PUNCT
cuesj-577	212	125	θ	θ	PROPN
cuesj-577	212	126	−0.465073	−0.465073	NOUN
cuesj-577	212	127	0.147599	0.147599	NUM
cuesj-577	212	128	−3.1509	−3.1509	NOUN
cuesj-577	212	129	0.00317	0.00317	NUM
cuesj-577	212	130	6.92173	6.92173	NUM
cuesj-577	212	131	6.937	6.937	NUM
cuesj-577	212	132	6.96395	6.96395	NUM
cuesj-577	212	133	6	6	NUM
cuesj-577	212	134	arima	arima	NOUN
cuesj-577	212	135	(	(	PUNCT
cuesj-577	212	136	0,1,1	0,1,1	NUM
cuesj-577	212	137	)	)	PUNCT
cuesj-577	212	138	θ	θ	NOUN
cuesj-577	212	139	−0.461273	−0.461273	PROPN
cuesj-577	212	140	0.147652	0.147652	NUM
cuesj-577	212	141	−3.1241	−3.1241	VERB
cuesj-577	212	142	0.00341	0.00341	NUM
cuesj-577	212	143	6.91783	6.91783	NUM
cuesj-577	212	144	6.9331	6.9331	NUM
cuesj-577	212	145	6.96005	6.96005	NUM
cuesj-577	212	146	7	7	NUM
cuesj-577	212	147	arima	arima	NOUN
cuesj-577	212	148	(	(	PUNCT
cuesj-577	212	149	0,1,1	0,1,1	NUM
cuesj-577	212	150	)	)	PUNCT
cuesj-577	212	151	θ	θ	NOUN
cuesj-577	212	152	−0.473796	−0.473796	NOUN
cuesj-577	212	153	0.146474	0.146474	NUM
cuesj-577	212	154	−3.2347	−3.2347	PRON
cuesj-577	212	155	0.00252	0.00252	NUM
cuesj-577	212	156	6.90718	6.90718	NUM
cuesj-577	212	157	6.92244	6.92244	NUM
cuesj-577	212	158	6.9494	6.9494	NUM
cuesj-577	212	159	8	8	NUM
cuesj-577	212	160	arima	arima	NOUN
cuesj-577	212	161	(	(	PUNCT
cuesj-577	212	162	0,1,1	0,1,1	NUM
cuesj-577	212	163	)	)	PUNCT
cuesj-577	212	164	θ	θ	NOUN
cuesj-577	212	165	−0.498346	−0.498346	VERB
cuesj-577	212	166	0.144843	0.144843	NUM
cuesj-577	212	167	−3.4406	−3.4406	NOUN
cuesj-577	212	168	0.00143	0.00143	NUM
cuesj-577	212	169	6.86407	6.86407	NUM
cuesj-577	212	170	6.87933	6.87933	NUM
cuesj-577	212	171	6.90629	6.90629	NUM
cuesj-577	212	172	9	9	NUM
cuesj-577	212	173	arima	arima	NOUN
cuesj-577	212	174	(	(	PUNCT
cuesj-577	212	175	1,2,1	1,2,1	NUM
cuesj-577	212	176	)	)	PUNCT
cuesj-577	212	177	θ	θ	NOUN
cuesj-577	212	178	0.501546	0.501546	NUM
cuesj-577	213	1	0.143699	0.143699	NUM
cuesj-577	213	2	3.49024	3.49024	NUM
cuesj-577	213	3	0.00129	0.00129	NUM
cuesj-577	213	4	6.86551	6.86551	NUM
cuesj-577	213	5	6.88078	6.88078	NUM
cuesj-577	213	6	6.90773	6.90773	NUM
cuesj-577	213	7	θ	θ	NOUN
cuesj-577	213	8	1.1013	1.1013	NUM
cuesj-577	213	9	0.00074181	0.00074181	NUM
cuesj-577	213	10	1484.62	1484.62	NUM
cuesj-577	213	11	0.00000	0.00000	NUM
cuesj-577	213	12	10	10	NUM
cuesj-577	213	13	arima	arima	NOUN
cuesj-577	213	14	(	(	PUNCT
cuesj-577	213	15	0,1,1	0,1,1	NUM
cuesj-577	213	16	)	)	PUNCT
cuesj-577	213	17	θ	θ	PROPN
cuesj-577	213	18	−0.494748	−0.494748	VERB
cuesj-577	213	19	0.145456	0.145456	NUM
cuesj-577	213	20	−3.4014	−3.4014	NOUN
cuesj-577	213	21	0.00159	0.00159	NUM
cuesj-577	213	22	6.87393	6.87393	NUM
cuesj-577	213	23	6.8892	6.8892	NUM
cuesj-577	213	24	6.91616	6.91616	NUM
cuesj-577	213	25	drop	drop	NOUN
cuesj-577	213	26	after	after	ADP
cuesj-577	213	27	using	use	VERB
cuesj-577	213	28	the	the	DET
cuesj-577	213	29	daubechies	daubechie	NOUN
cuesj-577	213	30	(	(	PUNCT
cuesj-577	213	31	db8	db8	ADJ
cuesj-577	213	32	)	)	PUNCT
cuesj-577	213	33	method	method	NOUN
cuesj-577	213	34	are	be	AUX
cuesj-577	213	35	the	the	DET
cuesj-577	213	36	same	same	ADJ
cuesj-577	213	37	(	(	PUNCT
cuesj-577	213	38	6.86407	6.86407	NUM
cuesj-577	213	39	,	,	PUNCT
cuesj-577	213	40	6.87933	6.87933	NUM
cuesj-577	213	41	,	,	PUNCT
cuesj-577	213	42	and	and	CCONJ
cuesj-577	213	43	90629	90629	NUM
cuesj-577	213	44	)	)	PUNCT
cuesj-577	213	45	,	,	PUNCT
cuesj-577	213	46	respectively	respectively	ADV
cuesj-577	213	47	.	.	PUNCT
cuesj-577	214	1	it	it	PRON
cuesj-577	214	2	is	be	AUX
cuesj-577	214	3	preferable	preferable	ADJ
cuesj-577	214	4	to	to	PART
cuesj-577	214	5	use	use	VERB
cuesj-577	214	6	wavelet	wavelet	NOUN
cuesj-577	214	7	analysis	analysis	NOUN
cuesj-577	214	8	before	before	ADP
cuesj-577	214	9	time	time	PROPN
cuesj-577	214	10	series	series	PROPN
cuesj-577	214	11	analysis	analysis	NOUN
cuesj-577	214	12	.	.	PUNCT
cuesj-577	215	1	conclusions	conclusion	NOUN
cuesj-577	215	2	according	accord	VERB
cuesj-577	215	3	to	to	ADP
cuesj-577	215	4	the	the	DET
cuesj-577	215	5	results	result	NOUN
cuesj-577	215	6	of	of	ADP
cuesj-577	215	7	the	the	DET
cuesj-577	215	8	previous	previous	ADJ
cuesj-577	215	9	chapter	chapter	NOUN
cuesj-577	215	10	,	,	PUNCT
cuesj-577	215	11	the	the	DET
cuesj-577	215	12	following	follow	VERB
cuesj-577	215	13	conclusions	conclusion	NOUN
cuesj-577	215	14	are	be	AUX
cuesj-577	215	15	obtained	obtain	VERB
cuesj-577	215	16	.	.	PUNCT
cuesj-577	216	1	1	1	X
cuesj-577	216	2	.	.	X
cuesj-577	216	3	gas	gas	NOUN
cuesj-577	216	4	is	be	AUX
cuesj-577	216	5	the	the	DET
cuesj-577	216	6	second	second	ADV
cuesj-577	216	7	-	-	PUNCT
cuesj-577	216	8	largest	large	ADJ
cuesj-577	216	9	source	source	NOUN
cuesj-577	216	10	of	of	ADP
cuesj-577	216	11	energy	energy	NOUN
cuesj-577	216	12	in	in	ADP
cuesj-577	216	13	iraq	iraq	PROPN
cuesj-577	216	14	,	,	PUNCT
cuesj-577	216	15	and	and	CCONJ
cuesj-577	216	16	at	at	ADP
cuesj-577	216	17	the	the	DET
cuesj-577	216	18	same	same	ADJ
cuesj-577	216	19	time	time	NOUN
cuesj-577	216	20	,	,	PUNCT
cuesj-577	216	21	iraq	iraq	PROPN
cuesj-577	216	22	has	have	AUX
cuesj-577	216	23	considered	consider	VERB
cuesj-577	216	24	the	the	DET
cuesj-577	216	25	fourth	fourth	ADJ
cuesj-577	216	26	country	country	NOUN
cuesj-577	216	27	in	in	ADP
cuesj-577	216	28	the	the	DET
cuesj-577	216	29	world	world	NOUN
cuesj-577	216	30	in	in	ADP
cuesj-577	216	31	the	the	DET
cuesj-577	216	32	expulsion	expulsion	NOUN
cuesj-577	216	33	of	of	ADP
cuesj-577	216	34	natural	natural	ADJ
cuesj-577	216	35	gas	gas	NOUN
cuesj-577	216	36	without	without	ADP
cuesj-577	216	37	investment	investment	NOUN
cuesj-577	216	38	.	.	PUNCT
cuesj-577	217	1	2	2	X
cuesj-577	217	2	.	.	X
cuesj-577	217	3	as	as	ADP
cuesj-577	217	4	a	a	DET
cuesj-577	217	5	result	result	NOUN
cuesj-577	217	6	of	of	ADP
cuesj-577	217	7	the	the	DET
cuesj-577	217	8	use	use	NOUN
cuesj-577	217	9	of	of	ADP
cuesj-577	217	10	gas	gas	NOUN
cuesj-577	217	11	and	and	CCONJ
cuesj-577	217	12	its	its	PRON
cuesj-577	217	13	advantages	advantage	NOUN
cuesj-577	217	14	,	,	PUNCT
cuesj-577	217	15	it	it	PRON
cuesj-577	217	16	has	have	AUX
cuesj-577	217	17	made	make	VERB
cuesj-577	217	18	it	it	PRON
cuesj-577	217	19	the	the	DET
cuesj-577	217	20	most	most	ADV
cuesj-577	217	21	widely	widely	ADV
cuesj-577	217	22	used	use	VERB
cuesj-577	217	23	among	among	ADP
cuesj-577	217	24	the	the	DET
cuesj-577	217	25	sources	source	NOUN
cuesj-577	217	26	of	of	ADP
cuesj-577	217	27	nonrenewable	nonrenewable	ADJ
cuesj-577	217	28	fossil	fossil	NOUN
cuesj-577	217	29	energy	energy	NOUN
cuesj-577	217	30	.	.	PUNCT
cuesj-577	218	1	3	3	X
cuesj-577	218	2	.	.	X
cuesj-577	218	3	the	the	DET
cuesj-577	218	4	wavelet	wavelet	NOUN
cuesj-577	218	5	shrinkage	shrinkage	NOUN
cuesj-577	218	6	method	method	NOUN
cuesj-577	218	7	with	with	ADP
cuesj-577	218	8	the	the	DET
cuesj-577	218	9	residual	residual	ADJ
cuesj-577	218	10	model	model	NOUN
cuesj-577	218	11	and	and	CCONJ
cuesj-577	218	12	the	the	DET
cuesj-577	218	13	estimated	estimate	VERB
cuesj-577	218	14	values	value	NOUN
cuesj-577	218	15	proved	prove	VERB
cuesj-577	218	16	preferable	preferable	ADJ
cuesj-577	218	17	to	to	ADP
cuesj-577	218	18	the	the	DET
cuesj-577	218	19	natural	natural	ADJ
cuesj-577	218	20	gas	gas	NOUN
cuesj-577	218	21	data	datum	NOUN
cuesj-577	218	22	in	in	ADP
cuesj-577	218	23	iraq	iraq	PROPN
cuesj-577	218	24	after	after	ADP
cuesj-577	218	25	the	the	DET
cuesj-577	218	26	wavelet	wavelet	NOUN
cuesj-577	218	27	shrinkage	shrinkage	NOUN
cuesj-577	218	28	process	process	NOUN
cuesj-577	218	29	.	.	PUNCT
cuesj-577	219	1	the	the	DET
cuesj-577	219	2	model	model	NOUN
cuesj-577	219	3	for	for	ADP
cuesj-577	219	4	the	the	DET
cuesj-577	219	5	smoothed	smooth	VERB
cuesj-577	219	6	data	datum	NOUN
cuesj-577	219	7	by	by	ADP
cuesj-577	219	8	daubechies	daubechie	NOUN
cuesj-577	219	9	(	(	PUNCT
cuesj-577	219	10	db8	db8	PROPN
cuesj-577	219	11	)	)	PUNCT
cuesj-577	219	12	figure	figure	NOUN
cuesj-577	219	13	18	18	NUM
cuesj-577	219	14	:	:	PUNCT
cuesj-577	219	15	acf	acf	NOUN
cuesj-577	219	16	for	for	ADP
cuesj-577	219	17	arima	arima	PROPN
cuesj-577	219	18	(	(	PUNCT
cuesj-577	219	19	0,1,1	0,1,1	NUM
cuesj-577	219	20	)	)	PUNCT
cuesj-577	219	21	use	use	VERB
cuesj-577	219	22	daubechies	daubechie	NOUN
cuesj-577	219	23	method	method	PROPN
cuesj-577	219	24	figure	figure	NOUN
cuesj-577	219	25	19	19	NUM
cuesj-577	219	26	:	:	PUNCT
cuesj-577	219	27	pacf	pacf	NOUN
cuesj-577	219	28	for	for	ADP
cuesj-577	219	29	arima	arima	PROPN
cuesj-577	219	30	(	(	PUNCT
cuesj-577	219	31	0,1,1	0,1,1	NUM
cuesj-577	219	32	)	)	PUNCT
cuesj-577	219	33	use	use	VERB
cuesj-577	219	34	daubechies	daubechie	NOUN
cuesj-577	219	35	method	method	VERB
cuesj-577	219	36	hussein	hussein	PROPN
cuesj-577	219	37	:	:	PUNCT
cuesj-577	219	38	comparison	comparison	NOUN
cuesj-577	219	39	of	of	ADP
cuesj-577	219	40	time	time	NOUN
cuesj-577	219	41	series	series	NOUN
cuesj-577	219	42	models	model	NOUN
cuesj-577	219	43	before	before	ADP
cuesj-577	219	44	and	and	CCONJ
cuesj-577	219	45	after	after	ADP
cuesj-577	219	46	using	use	VERB
cuesj-577	219	47	wavelet	wavelet	NOUN
cuesj-577	219	48	shrinkage	shrinkage	NOUN
cuesj-577	219	49	filtering	filter	VERB
cuesj-577	219	50	43	43	NUM
cuesj-577	219	51	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-577	219	52	cuesj	cuesj	ADJ
cuesj-577	219	53	2022	2022	NUM
cuesj-577	219	54	,	,	PUNCT
cuesj-577	219	55	6	6	NUM
cuesj-577	219	56	(	(	PUNCT
cuesj-577	219	57	1	1	NUM
cuesj-577	219	58	):	):	PUNCT
cuesj-577	219	59	32	32	NUM
cuesj-577	219	60	-	-	SYM
cuesj-577	219	61	46	46	NUM
cuesj-577	219	62	table	table	NOUN
cuesj-577	219	63	14	14	NUM
cuesj-577	219	64	:	:	PUNCT
cuesj-577	219	65	model	model	NOUN
cuesj-577	219	66	estimation	estimation	NOUN
cuesj-577	219	67	arima	arima	PROPN
cuesj-577	219	68	(	(	PUNCT
cuesj-577	219	69	0,1,1	0,1,1	NUM
cuesj-577	219	70	)	)	PUNCT
cuesj-577	219	71	for	for	ADP
cuesj-577	219	72	natural	natural	ADJ
cuesj-577	219	73	gas	gas	NOUN
cuesj-577	219	74	production	production	NOUN
cuesj-577	219	75	data	datum	NOUN
cuesj-577	219	76	using	use	VERB
cuesj-577	219	77	coiflets	coiflet	NOUN
cuesj-577	219	78	method	method	PROPN
cuesj-577	219	79	model	model	NOUN
cuesj-577	219	80	parameter	parameter	NOUN
cuesj-577	219	81	estimate	estimate	NOUN
cuesj-577	219	82	std	std	PROPN
cuesj-577	219	83	.	.	NOUN
cuesj-577	219	84	error	error	NOUN
cuesj-577	219	85	t	t	NOUN
cuesj-577	219	86	p	p	NOUN
cuesj-577	219	87	-	-	PUNCT
cuesj-577	219	88	value	value	NOUN
cuesj-577	219	89	aic	aic	PROPN
cuesj-577	219	90	hqc	hqc	ADP
cuesj-577	219	91	sbic	sbic	ADJ
cuesj-577	219	92	coiflets	coiflet	NOUN
cuesj-577	219	93	1	1	NUM
cuesj-577	219	94	arima	arima	NOUN
cuesj-577	219	95	(	(	PUNCT
cuesj-577	219	96	0,1,1	0,1,1	NUM
cuesj-577	219	97	)	)	PUNCT
cuesj-577	219	98	θ	θ	PROPN
cuesj-577	219	99	−0.438559	−0.438559	PUNCT
cuesj-577	219	100	0.149165	0.149165	NUM
cuesj-577	219	101	−2.9401	−2.9401	NUM
cuesj-577	219	102	0.00556	0.00556	NUM
cuesj-577	219	103	6.97715	6.97715	NUM
cuesj-577	219	104	6.99242	6.99242	NUM
cuesj-577	219	105	7.01937	7.01937	NUM
cuesj-577	219	106	2	2	NUM
cuesj-577	219	107	arima	arima	NOUN
cuesj-577	219	108	(	(	PUNCT
cuesj-577	219	109	0,1,1	0,1,1	NUM
cuesj-577	219	110	)	)	PUNCT
cuesj-577	219	111	θ	θ	PROPN
cuesj-577	220	1	−0.477477	−0.477477	NUM
cuesj-577	220	2	0.146572	0.146572	NUM
cuesj-577	220	3	−3.2576	−3.2576	NOUN
cuesj-577	220	4	0.00237	0.00237	NUM
cuesj-577	221	1	6.91079	6.91079	NUM
cuesj-577	221	2	6.92605	6.92605	NUM
cuesj-577	221	3	6.95301	6.95301	NUM
cuesj-577	221	4	3	3	NUM
cuesj-577	221	5	arima	arima	NOUN
cuesj-577	221	6	(	(	PUNCT
cuesj-577	221	7	0,1,1	0,1,1	NUM
cuesj-577	221	8	)	)	PUNCT
cuesj-577	221	9	θ	θ	X
cuesj-577	221	10	−0.481209	−0.481209	NOUN
cuesj-577	221	11	0.146402	0.146402	NUM
cuesj-577	221	12	−3.2869	−3.2869	NOUN
cuesj-577	221	13	0.00219	0.00219	NUM
cuesj-577	221	14	6.90506	6.90506	NUM
cuesj-577	222	1	6.92032	6.92032	NUM
cuesj-577	222	2	6.94728	6.94728	NUM
cuesj-577	222	3	4	4	NUM
cuesj-577	222	4	arima	arima	NOUN
cuesj-577	222	5	(	(	PUNCT
cuesj-577	222	6	0,1,1	0,1,1	NUM
cuesj-577	222	7	)	)	PUNCT
cuesj-577	222	8	θ	θ	NOUN
cuesj-577	222	9	−0.482222	−0.482222	NOUN
cuesj-577	222	10	0.14615	0.14615	NUM
cuesj-577	222	11	−3.2995	−3.2995	PROPN
cuesj-577	222	12	0.00211	0.00211	NUM
cuesj-577	222	13	6.8993	6.8993	NUM
cuesj-577	222	14	6.91456	6.91456	NUM
cuesj-577	222	15	6.94152	6.94152	NUM
cuesj-577	222	16	5	5	NUM
cuesj-577	222	17	arima	arima	NOUN
cuesj-577	222	18	(	(	PUNCT
cuesj-577	222	19	0,1,1	0,1,1	NUM
cuesj-577	222	20	)	)	PUNCT
cuesj-577	222	21	θ	θ	NOUN
cuesj-577	222	22	−0.481759	−0.481759	X
cuesj-577	222	23	0.146099	0.146099	NUM
cuesj-577	222	24	−3.2975	−3.2975	X
cuesj-577	222	25	0.00212	0.00212	NUM
cuesj-577	222	26	6.89982	6.89982	NUM
cuesj-577	222	27	6.91508	6.91508	NUM
cuesj-577	222	28	6.94204	6.94204	NUM
cuesj-577	222	29	figure	figure	NOUN
cuesj-577	222	30	20	20	NUM
cuesj-577	222	31	:	:	PUNCT
cuesj-577	222	32	time	time	NOUN
cuesj-577	222	33	series	series	NOUN
cuesj-577	222	34	of	of	ADP
cuesj-577	222	35	the	the	DET
cuesj-577	222	36	original	original	ADJ
cuesj-577	222	37	data	datum	NOUN
cuesj-577	222	38	and	and	CCONJ
cuesj-577	222	39	the	the	DET
cuesj-577	222	40	soft	soft	ADJ
cuesj-577	222	41	threshold	threshold	NOUN
cuesj-577	222	42	of	of	ADP
cuesj-577	222	43	the	the	DET
cuesj-577	222	44	symlet	symlet	NOUN
cuesj-577	222	45	wavelet	wavelet	NOUN
cuesj-577	222	46	for	for	ADP
cuesj-577	222	47	natural	natural	ADJ
cuesj-577	222	48	gas	gas	NOUN
cuesj-577	222	49	production	production	NOUN
cuesj-577	222	50	figure	figure	NOUN
cuesj-577	222	51	22	22	NUM
cuesj-577	222	52	:	:	PUNCT
cuesj-577	222	53	pacf	pacf	NOUN
cuesj-577	222	54	for	for	ADP
cuesj-577	222	55	arima	arima	PROPN
cuesj-577	222	56	(	(	PUNCT
cuesj-577	222	57	0,1,1	0,1,1	NUM
cuesj-577	222	58	)	)	PUNCT
cuesj-577	222	59	use	use	VERB
cuesj-577	222	60	symlet	symlet	NOUN
cuesj-577	222	61	methodfigure	methodfigure	NOUN
cuesj-577	222	62	21	21	NUM
cuesj-577	222	63	:	:	PUNCT
cuesj-577	222	64	acf	acf	NOUN
cuesj-577	222	65	for	for	ADP
cuesj-577	222	66	arima	arima	PROPN
cuesj-577	222	67	(	(	PUNCT
cuesj-577	222	68	0,1,1	0,1,1	NUM
cuesj-577	222	69	)	)	PUNCT
cuesj-577	222	70	use	use	VERB
cuesj-577	222	71	symlet	symlet	PROPN
cuesj-577	222	72	method	method	PROPN
cuesj-577	222	73	hussein	hussein	PROPN
cuesj-577	222	74	:	:	PUNCT
cuesj-577	222	75	comparison	comparison	NOUN
cuesj-577	222	76	of	of	ADP
cuesj-577	222	77	time	time	NOUN
cuesj-577	222	78	series	series	NOUN
cuesj-577	222	79	models	model	NOUN
cuesj-577	222	80	before	before	ADP
cuesj-577	222	81	and	and	CCONJ
cuesj-577	222	82	after	after	ADP
cuesj-577	222	83	using	use	VERB
cuesj-577	222	84	wavelet	wavelet	NOUN
cuesj-577	222	85	shrinkage	shrinkage	NOUN
cuesj-577	222	86	filtering	filter	VERB
cuesj-577	222	87	44	44	NUM
cuesj-577	222	88	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-577	222	89	cuesj	cuesj	ADJ
cuesj-577	222	90	2022	2022	NUM
cuesj-577	222	91	,	,	PUNCT
cuesj-577	222	92	6	6	NUM
cuesj-577	222	93	(	(	PUNCT
cuesj-577	222	94	1	1	NUM
cuesj-577	222	95	):	):	PUNCT
cuesj-577	222	96	32	32	NUM
cuesj-577	222	97	-	-	SYM
cuesj-577	222	98	46	46	NUM
cuesj-577	222	99	method	method	NOUN
cuesj-577	222	100	with	with	ADP
cuesj-577	222	101	the	the	DET
cuesj-577	222	102	soft	soft	ADJ
cuesj-577	222	103	threshold	threshold	NOUN
cuesj-577	222	104	cut	cut	NOUN
cuesj-577	222	105	is	be	AUX
cuesj-577	222	106	the	the	DET
cuesj-577	222	107	model	model	NOUN
cuesj-577	222	108	arima	arima	PROPN
cuesj-577	222	109	(	(	PUNCT
cuesj-577	222	110	0,1,1	0,1,1	NUM
cuesj-577	222	111	)	)	PUNCT
cuesj-577	222	112	is	be	AUX
cuesj-577	222	113	better	well	ADV
cuesj-577	222	114	using	use	VERB
cuesj-577	222	115	some	some	DET
cuesj-577	222	116	statistical	statistical	ADJ
cuesj-577	222	117	criteria	criterion	NOUN
cuesj-577	222	118	than	than	ADP
cuesj-577	222	119	the	the	DET
cuesj-577	222	120	original	original	ADJ
cuesj-577	222	121	data	datum	NOUN
cuesj-577	222	122	for	for	ADP
cuesj-577	222	123	the	the	DET
cuesj-577	222	124	production	production	NOUN
cuesj-577	222	125	of	of	ADP
cuesj-577	222	126	natural	natural	ADJ
cuesj-577	222	127	gas	gas	NOUN
cuesj-577	222	128	in	in	ADP
cuesj-577	222	129	iraq	iraq	PROPN
cuesj-577	222	130	.	.	PUNCT
cuesj-577	223	1	4	4	X
cuesj-577	223	2	.	.	X
cuesj-577	223	3	the	the	DET
cuesj-577	223	4	wavelet	wavelet	NOUN
cuesj-577	223	5	daubechies	daubechie	NOUN
cuesj-577	223	6	(	(	PUNCT
cuesj-577	223	7	db8	db8	PROPN
cuesj-577	223	8	)	)	PUNCT
cuesj-577	223	9	is	be	AUX
cuesj-577	223	10	better	well	ADJ
cuesj-577	223	11	and	and	CCONJ
cuesj-577	223	12	more	more	ADV
cuesj-577	223	13	efficient	efficient	ADJ
cuesj-577	223	14	than	than	ADP
cuesj-577	223	15	all	all	DET
cuesj-577	223	16	other	other	ADJ
cuesj-577	223	17	methods	method	NOUN
cuesj-577	223	18	indicated	indicate	VERB
cuesj-577	223	19	in	in	ADP
cuesj-577	223	20	the	the	DET
cuesj-577	223	21	analysis	analysis	NOUN
cuesj-577	223	22	summary	summary	NOUN
cuesj-577	223	23	,	,	PUNCT
cuesj-577	223	24	from	from	ADP
cuesj-577	223	25	getting	get	VERB
cuesj-577	223	26	the	the	DET
cuesj-577	223	27	best	good	ADJ
cuesj-577	223	28	criteria	criterion	NOUN
cuesj-577	223	29	comparison	comparison	NOUN
cuesj-577	223	30	aic	aic	PROPN
cuesj-577	223	31	,	,	PUNCT
cuesj-577	223	32	hqc	hqc	INTJ
cuesj-577	223	33	,	,	PUNCT
cuesj-577	223	34	and	and	CCONJ
cuesj-577	223	35	sbic	sbic	ADJ
cuesj-577	223	36	.	.	PUNCT
cuesj-577	224	1	we	we	PRON
cuesj-577	224	2	note	note	VERB
cuesj-577	224	3	that	that	SCONJ
cuesj-577	224	4	natural	natural	ADJ
cuesj-577	224	5	gas	gas	NOUN
cuesj-577	224	6	production	production	NOUN
cuesj-577	224	7	has	have	AUX
cuesj-577	224	8	increased	increase	VERB
cuesj-577	224	9	over	over	ADP
cuesj-577	224	10	the	the	DET
cuesj-577	224	11	years	year	NOUN
cuesj-577	224	12	by	by	ADP
cuesj-577	224	13	forecasting	forecast	VERB
cuesj-577	224	14	the	the	DET
cuesj-577	224	15	selected	select	VERB
cuesj-577	224	16	model	model	NOUN
cuesj-577	224	17	–	–	PUNCT
cuesj-577	224	18	the	the	DET
cuesj-577	224	19	forecasted	forecast	VERB
cuesj-577	224	20	values	value	NOUN
cuesj-577	224	21	(	(	PUNCT
cuesj-577	224	22	2020=370.617	2020=370.617	NUM
cuesj-577	224	23	bcfy	bcfy	NOUN
cuesj-577	224	24	,	,	PUNCT
cuesj-577	224	25	…	…	PUNCT
cuesj-577	224	26	.	.	PUNCT
cuesj-577	224	27	)	)	PUNCT
cuesj-577	224	28	for	for	ADP
cuesj-577	224	29	natural	natural	ADJ
cuesj-577	224	30	gas	gas	NOUN
cuesj-577	224	31	production	production	NOUN
cuesj-577	224	32	.	.	PUNCT
cuesj-577	225	1	5	5	X
cuesj-577	225	2	.	.	X
cuesj-577	225	3	if	if	SCONJ
cuesj-577	225	4	original	original	ADJ
cuesj-577	225	5	data	datum	NOUN
cuesj-577	225	6	are	be	AUX
cuesj-577	225	7	available	available	ADJ
cuesj-577	225	8	,	,	PUNCT
cuesj-577	225	9	the	the	DET
cuesj-577	225	10	forecast	forecast	NOUN
cuesj-577	225	11	values	value	NOUN
cuesj-577	225	12	from	from	ADP
cuesj-577	225	13	the	the	DET
cuesj-577	225	14	fitted	fit	VERB
cuesj-577	225	15	model	model	NOUN
cuesj-577	225	16	and	and	CCONJ
cuesj-577	225	17	the	the	DET
cuesj-577	225	18	residuals	residual	NOUN
cuesj-577	225	19	are	be	AUX
cuesj-577	225	20	also	also	ADV
cuesj-577	225	21	displayed	display	VERB
cuesj-577	225	22	.	.	PUNCT
cuesj-577	226	1	for	for	ADP
cuesj-577	226	2	the	the	DET
cuesj-577	226	3	time	time	NOUN
cuesj-577	226	4	after	after	ADP
cuesj-577	226	5	the	the	DET
cuesj-577	226	6	end	end	NOUN
cuesj-577	226	7	of	of	ADP
cuesj-577	226	8	the	the	DET
cuesj-577	226	9	series	series	NOUN
cuesj-577	226	10	,	,	PUNCT
cuesj-577	226	11	prediction	prediction	NOUN
cuesj-577	226	12	limits	limit	NOUN
cuesj-577	226	13	of	of	ADP
cuesj-577	226	14	95	95	NUM
cuesj-577	226	15	%	%	NOUN
cuesj-577	226	16	are	be	AUX
cuesj-577	226	17	shown	show	VERB
cuesj-577	226	18	for	for	ADP
cuesj-577	226	19	the	the	DET
cuesj-577	226	20	predictions	prediction	NOUN
cuesj-577	226	21	.	.	PUNCT
cuesj-577	227	1	these	these	DET
cuesj-577	227	2	limit	limit	NOUN
cuesj-577	227	3	show	show	VERB
cuesj-577	227	4	where	where	SCONJ
cuesj-577	227	5	the	the	DET
cuesj-577	227	6	original	original	ADJ
cuesj-577	227	7	data	data	NOUN
cuesj-577	227	8	value	value	NOUN
cuesj-577	227	9	is	be	AUX
cuesj-577	227	10	likely	likely	ADJ
cuesj-577	227	11	to	to	PART
cuesj-577	227	12	be	be	AUX
cuesj-577	227	13	at	at	ADP
cuesj-577	227	14	a	a	DET
cuesj-577	227	15	selected	select	VERB
cuesj-577	227	16	future	future	ADJ
cuesj-577	227	17	point	point	NOUN
cuesj-577	227	18	in	in	ADP
cuesj-577	227	19	time	time	NOUN
cuesj-577	227	20	with	with	ADP
cuesj-577	227	21	95	95	NUM
cuesj-577	227	22	%	%	NOUN
cuesj-577	227	23	confidence	confidence	NOUN
cuesj-577	227	24	,	,	PUNCT
cuesj-577	227	25	provided	provide	VERB
cuesj-577	227	26	that	that	SCONJ
cuesj-577	227	27	the	the	DET
cuesj-577	227	28	fitted	fit	VERB
cuesj-577	227	29	model	model	NOUN
cuesj-577	227	30	is	be	AUX
cuesj-577	227	31	appropriate	appropriate	ADJ
cuesj-577	227	32	for	for	ADP
cuesj-577	227	33	the	the	DET
cuesj-577	227	34	data	datum	NOUN
cuesj-577	227	35	.	.	PUNCT
cuesj-577	228	1	6	6	X
cuesj-577	228	2	.	.	X
cuesj-577	228	3	wavelet	wavelet	NOUN
cuesj-577	228	4	shrinkage	shrinkage	NOUN
cuesj-577	228	5	be	be	AUX
cuesj-577	228	6	used	use	VERB
cuesj-577	228	7	to	to	PART
cuesj-577	228	8	treat	treat	VERB
cuesj-577	228	9	the	the	DET
cuesj-577	228	10	problem	problem	NOUN
cuesj-577	228	11	of	of	ADP
cuesj-577	228	12	pollution	pollution	NOUN
cuesj-577	228	13	and	and	CCONJ
cuesj-577	228	14	heterogeneity	heterogeneity	NOUN
cuesj-577	228	15	in	in	ADP
cuesj-577	228	16	time	time	NOUN
cuesj-577	228	17	series	series	PROPN
cuesj-577	228	18	observations	observation	NOUN
cuesj-577	228	19	figure	figure	VERB
cuesj-577	228	20	23	23	NUM
cuesj-577	228	21	:	:	PUNCT
cuesj-577	228	22	time	time	NOUN
cuesj-577	228	23	series	series	NOUN
cuesj-577	228	24	of	of	ADP
cuesj-577	228	25	the	the	DET
cuesj-577	228	26	original	original	ADJ
cuesj-577	228	27	data	datum	NOUN
cuesj-577	228	28	and	and	CCONJ
cuesj-577	228	29	the	the	DET
cuesj-577	228	30	soft	soft	ADJ
cuesj-577	228	31	threshold	threshold	NOUN
cuesj-577	228	32	of	of	ADP
cuesj-577	228	33	the	the	DET
cuesj-577	228	34	coiflets	coiflet	NOUN
cuesj-577	228	35	wavelet	wavelet	NOUN
cuesj-577	228	36	for	for	ADP
cuesj-577	228	37	natural	natural	ADJ
cuesj-577	228	38	gas	gas	NOUN
cuesj-577	228	39	production	production	NOUN
cuesj-577	228	40	figure	figure	NOUN
cuesj-577	228	41	24	24	NUM
cuesj-577	228	42	:	:	PUNCT
cuesj-577	228	43	acf	acf	NOUN
cuesj-577	228	44	for	for	ADP
cuesj-577	228	45	arima	arima	PROPN
cuesj-577	228	46	(	(	PUNCT
cuesj-577	228	47	0,1,1	0,1,1	NUM
cuesj-577	228	48	)	)	PUNCT
cuesj-577	228	49	use	use	VERB
cuesj-577	228	50	coiflets	coiflet	NOUN
cuesj-577	228	51	method	method	NOUN
cuesj-577	228	52	figure	figure	NOUN
cuesj-577	228	53	25	25	NUM
cuesj-577	228	54	:	:	PUNCT
cuesj-577	228	55	pacf	pacf	NOUN
cuesj-577	228	56	for	for	ADP
cuesj-577	228	57	arima	arima	PROPN
cuesj-577	228	58	(	(	PUNCT
cuesj-577	228	59	0,1,1	0,1,1	NUM
cuesj-577	228	60	)	)	PUNCT
cuesj-577	228	61	use	use	VERB
cuesj-577	228	62	coiflets	coiflet	NOUN
cuesj-577	228	63	method	method	NOUN
cuesj-577	228	64	figure	figure	NOUN
cuesj-577	228	65	26	26	NUM
cuesj-577	228	66	:	:	PUNCT
cuesj-577	228	67	time	time	NOUN
cuesj-577	228	68	series	series	NOUN
cuesj-577	228	69	of	of	ADP
cuesj-577	228	70	the	the	DET
cuesj-577	228	71	original	original	ADJ
cuesj-577	228	72	data	datum	NOUN
cuesj-577	228	73	and	and	CCONJ
cuesj-577	228	74	the	the	DET
cuesj-577	228	75	soft	soft	ADJ
cuesj-577	228	76	threshold	threshold	NOUN
cuesj-577	228	77	of	of	ADP
cuesj-577	228	78	the	the	DET
cuesj-577	228	79	meyer	meyer	PROPN
cuesj-577	228	80	d	d	PROPN
cuesj-577	228	81	wavelet	wavelet	PROPN
cuesj-577	228	82	for	for	ADP
cuesj-577	228	83	natural	natural	ADJ
cuesj-577	228	84	gas	gas	NOUN
cuesj-577	228	85	production	production	NOUN
cuesj-577	228	86	figure	figure	NOUN
cuesj-577	228	87	27	27	NUM
cuesj-577	228	88	:	:	PUNCT
cuesj-577	228	89	acf	acf	NOUN
cuesj-577	228	90	for	for	ADP
cuesj-577	228	91	arima	arima	PROPN
cuesj-577	228	92	(	(	PUNCT
cuesj-577	228	93	0,1,1	0,1,1	NUM
cuesj-577	228	94	)	)	PUNCT
cuesj-577	228	95	use	use	VERB
cuesj-577	228	96	meyer	meyer	PROPN
cuesj-577	228	97	d	d	PROPN
cuesj-577	228	98	method	method	PROPN
cuesj-577	228	99	hussein	hussein	PROPN
cuesj-577	228	100	:	:	PUNCT
cuesj-577	228	101	comparison	comparison	NOUN
cuesj-577	228	102	of	of	ADP
cuesj-577	228	103	time	time	NOUN
cuesj-577	228	104	series	series	NOUN
cuesj-577	228	105	models	model	NOUN
cuesj-577	228	106	before	before	ADP
cuesj-577	228	107	and	and	CCONJ
cuesj-577	228	108	after	after	ADP
cuesj-577	228	109	using	use	VERB
cuesj-577	228	110	wavelet	wavelet	NOUN
cuesj-577	228	111	shrinkage	shrinkage	NOUN
cuesj-577	228	112	filtering	filter	VERB
cuesj-577	228	113	45	45	NUM
cuesj-577	228	114	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-577	228	115	cuesj	cuesj	ADJ
cuesj-577	228	116	2022	2022	NUM
cuesj-577	228	117	,	,	PUNCT
cuesj-577	228	118	6	6	NUM
cuesj-577	228	119	(	(	PUNCT
cuesj-577	228	120	1	1	NUM
cuesj-577	228	121	):	):	PUNCT
cuesj-577	228	122	32	32	NUM
cuesj-577	228	123	-	-	SYM
cuesj-577	228	124	46	46	NUM
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cuesj-577	228	126	16	16	NUM
cuesj-577	228	127	:	:	PUNCT
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cuesj-577	228	130	model	model	NOUN
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cuesj-577	228	133	parameter	parameter	PROPN
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cuesj-577	228	135	std	std	PROPN
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cuesj-577	228	137	error	error	NOUN
cuesj-577	228	138	t	t	NOUN
cuesj-577	228	139	p	p	NOUN
cuesj-577	228	140	-	-	PUNCT
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cuesj-577	228	144	sbic	sbic	NOUN
cuesj-577	228	145	before	before	ADP
cuesj-577	228	146	using	use	VERB
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cuesj-577	228	151	)	)	PUNCT
cuesj-577	228	152	θ	θ	NOUN
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cuesj-577	228	156	0.0044	0.0044	NUM
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cuesj-577	228	158	7.06501	7.06501	NUM
cuesj-577	228	159	7.09197	7.09197	NUM
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cuesj-577	228	161	arima	arima	X
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cuesj-577	228	163	0,1,1	0,1,1	NUM
cuesj-577	228	164	)	)	PUNCT
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cuesj-577	228	177	0,1,1	0,1,1	NUM
cuesj-577	228	178	)	)	PUNCT
cuesj-577	228	179	θ	θ	PROPN
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cuesj-577	228	187	2	2	NUM
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cuesj-577	228	189	(	(	PUNCT
cuesj-577	228	190	0,1,1	0,1,1	NUM
cuesj-577	228	191	)	)	PUNCT
cuesj-577	228	192	θ	θ	PROPN
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cuesj-577	228	195	−2.9341	−2.9341	NUM
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cuesj-577	228	197	7.00141	7.00141	NUM
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cuesj-577	228	200	3	3	NUM
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cuesj-577	228	202	(	(	PUNCT
cuesj-577	228	203	0,1,1	0,1,1	NUM
cuesj-577	228	204	)	)	PUNCT
cuesj-577	228	205	θ	θ	PROPN
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cuesj-577	228	209	0.0017	0.0017	NUM
cuesj-577	228	210	6.9028	6.9028	NUM
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cuesj-577	228	213	4	4	NUM
cuesj-577	228	214	arima	arima	NOUN
cuesj-577	228	215	(	(	PUNCT
cuesj-577	228	216	0,1,1	0,1,1	NUM
cuesj-577	228	217	)	)	PUNCT
cuesj-577	228	218	θ	θ	NOUN
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cuesj-577	228	221	−3.3729	−3.3729	NOUN
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cuesj-577	228	226	5	5	NUM
cuesj-577	228	227	arima	arima	NOUN
cuesj-577	228	228	(	(	PUNCT
cuesj-577	228	229	0,1,1	0,1,1	NUM
cuesj-577	228	230	)	)	PUNCT
cuesj-577	229	1	θ	θ	PROPN
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cuesj-577	229	8	6.96395	6.96395	NUM
cuesj-577	229	9	6	6	NUM
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cuesj-577	229	12	0,1,1	0,1,1	NUM
cuesj-577	229	13	)	)	PUNCT
cuesj-577	229	14	θ	θ	NOUN
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cuesj-577	229	17	−3.1241	−3.1241	VERB
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cuesj-577	229	21	6.96005	6.96005	NUM
cuesj-577	229	22	7	7	NUM
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cuesj-577	229	24	(	(	PUNCT
cuesj-577	229	25	0,1,1	0,1,1	NUM
cuesj-577	229	26	)	)	PUNCT
cuesj-577	229	27	θ	θ	NOUN
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cuesj-577	229	30	−3.2347	−3.2347	PRON
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cuesj-577	229	35	8	8	NUM
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cuesj-577	229	37	(	(	PUNCT
cuesj-577	229	38	0,1,1	0,1,1	NUM
cuesj-577	229	39	)	)	PUNCT
cuesj-577	229	40	θ	θ	NOUN
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cuesj-577	229	43	−3.4406	−3.4406	NOUN
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cuesj-577	229	48	9	9	NUM
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cuesj-577	229	50	(	(	PUNCT
cuesj-577	229	51	1,2,1	1,2,1	NUM
cuesj-577	229	52	)	)	PUNCT
cuesj-577	229	53	θ	θ	NOUN
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cuesj-577	230	7	θ	θ	NOUN
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cuesj-577	230	15	0,1,1	0,1,1	NUM
cuesj-577	230	16	)	)	PUNCT
cuesj-577	230	17	θ	θ	PROPN
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cuesj-577	230	20	−3.4014	−3.4014	NOUN
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cuesj-577	230	26	2	2	NUM
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cuesj-577	230	28	(	(	PUNCT
cuesj-577	230	29	0,1,1	0,1,1	NUM
cuesj-577	230	30	)	)	PUNCT
cuesj-577	230	31	θ	θ	PROPN
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cuesj-577	231	8	3	3	NUM
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cuesj-577	231	13	θ	θ	PROPN
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cuesj-577	231	21	4	4	NUM
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cuesj-577	231	24	0,1,1	0,1,1	NUM
cuesj-577	231	25	)	)	PUNCT
cuesj-577	231	26	θ	θ	NOUN
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cuesj-577	232	7	0,1,1	0,1,1	NUM
cuesj-577	232	8	)	)	PUNCT
cuesj-577	232	9	θ	θ	NOUN
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cuesj-577	233	3	−3.4132	−3.4132	PRON
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cuesj-577	233	8	6	6	NUM
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cuesj-577	233	12	)	)	PUNCT
cuesj-577	233	13	θ	θ	NOUN
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cuesj-577	234	8	7	7	NUM
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cuesj-577	234	12	)	)	PUNCT
cuesj-577	234	13	θ	θ	NOUN
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cuesj-577	234	21	8	8	NUM
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cuesj-577	234	24	0,1,1	0,1,1	NUM
cuesj-577	234	25	)	)	PUNCT
cuesj-577	234	26	θ	θ	NOUN
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cuesj-577	234	39	)	)	PUNCT
cuesj-577	234	40	θ	θ	PROPN
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cuesj-577	234	51	0,1,1	0,1,1	NUM
cuesj-577	234	52	)	)	PUNCT
cuesj-577	234	53	θ	θ	PROPN
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cuesj-577	236	9	θ	θ	X
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cuesj-577	237	5	(	(	PUNCT
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cuesj-577	237	8	θ	θ	NOUN
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cuesj-577	237	20	)	)	PUNCT
cuesj-577	237	21	θ	θ	NOUN
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cuesj-577	237	29	meyer	meyer	PROPN
cuesj-577	237	30	d	d	PROPN
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cuesj-577	237	34	)	)	PUNCT
cuesj-577	237	35	θ	θ	PROPN
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cuesj-577	238	9	:	:	PUNCT
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cuesj-577	238	15	)	)	PUNCT
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cuesj-577	238	17	natural	natural	ADJ
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cuesj-577	238	19	production	production	NOUN
cuesj-577	238	20	data	datum	NOUN
cuesj-577	238	21	using	use	VERB
cuesj-577	238	22	meyer	meyer	PROPN
cuesj-577	238	23	d	d	PROPN
cuesj-577	238	24	method	method	PROPN
cuesj-577	238	25	model	model	NOUN
cuesj-577	238	26	parameter	parameter	NOUN
cuesj-577	238	27	estimate	estimate	NOUN
cuesj-577	238	28	std	std	PROPN
cuesj-577	238	29	.	.	NOUN
cuesj-577	238	30	error	error	NOUN
cuesj-577	238	31	t	t	NOUN
cuesj-577	238	32	p	p	NOUN
cuesj-577	238	33	-	-	PUNCT
cuesj-577	238	34	value	value	NOUN
cuesj-577	238	35	aic	aic	PROPN
cuesj-577	238	36	hqc	hqc	ADP
cuesj-577	238	37	sbic	sbic	PROPN
cuesj-577	238	38	meyer	meyer	PROPN
cuesj-577	238	39	d	d	PROPN
cuesj-577	238	40	arima	arima	PROPN
cuesj-577	238	41	(	(	PUNCT
cuesj-577	238	42	0,1,1	0,1,1	NUM
cuesj-577	238	43	)	)	PUNCT
cuesj-577	238	44	θ	θ	PROPN
cuesj-577	238	45	−0.491145	−0.491145	NUM
cuesj-577	239	1	0.145599	0.145599	NUM
cuesj-577	239	2	−3.3733	−3.3733	NUM
cuesj-577	239	3	0.00172	0.00172	NUM
cuesj-577	239	4	6.87297	6.87297	NUM
cuesj-577	239	5	6.88824	6.88824	NUM
cuesj-577	239	6	6.9152	6.9152	NUM
cuesj-577	239	7	recommendations	recommendation	NOUN
cuesj-577	239	8	the	the	DET
cuesj-577	239	9	researcher	researcher	NOUN
cuesj-577	239	10	recommends	recommend	VERB
cuesj-577	239	11	the	the	DET
cuesj-577	239	12	following	following	ADJ
cuesj-577	239	13	points	point	NOUN
cuesj-577	239	14	:	:	PUNCT
cuesj-577	239	15	1	1	X
cuesj-577	239	16	.	.	PUNCT
cuesj-577	239	17	due	due	ADP
cuesj-577	239	18	to	to	ADP
cuesj-577	239	19	the	the	DET
cuesj-577	239	20	good	good	ADJ
cuesj-577	239	21	results	result	NOUN
cuesj-577	239	22	yielded	yield	VERB
cuesj-577	239	23	from	from	ADP
cuesj-577	239	24	the	the	DET
cuesj-577	239	25	shrinkage	shrinkage	NOUN
cuesj-577	239	26	thresholding	thresholde	VERB
cuesj-577	239	27	estimator	estimator	NOUN
cuesj-577	239	28	in	in	ADP
cuesj-577	239	29	reducing	reduce	VERB
cuesj-577	239	30	noise	noise	NOUN
cuesj-577	239	31	,	,	PUNCT
cuesj-577	239	32	it	it	PRON
cuesj-577	239	33	is	be	AUX
cuesj-577	239	34	recommended	recommend	VERB
cuesj-577	239	35	for	for	SCONJ
cuesj-577	239	36	future	future	ADJ
cuesj-577	239	37	studies	study	NOUN
cuesj-577	239	38	to	to	PART
cuesj-577	239	39	apply	apply	VERB
cuesj-577	239	40	other	other	ADJ
cuesj-577	239	41	wavelet	wavelet	NOUN
cuesj-577	239	42	filters	filter	NOUN
cuesj-577	239	43	and	and	CCONJ
cuesj-577	239	44	apply	apply	VERB
cuesj-577	239	45	other	other	ADJ
cuesj-577	239	46	threshold	threshold	NOUN
cuesj-577	239	47	rules	rule	NOUN
cuesj-577	239	48	of	of	ADP
cuesj-577	239	49	the	the	DET
cuesj-577	239	50	wavelet	wavelet	NOUN
cuesj-577	239	51	coefficients	coefficient	NOUN
cuesj-577	239	52	.	.	PUNCT
cuesj-577	240	1	2	2	X
cuesj-577	240	2	.	.	PUNCT
cuesj-577	240	3	to	to	PART
cuesj-577	240	4	confirm	confirm	VERB
cuesj-577	240	5	the	the	DET
cuesj-577	240	6	increase	increase	NOUN
cuesj-577	240	7	in	in	ADP
cuesj-577	240	8	the	the	DET
cuesj-577	240	9	activities	activity	NOUN
cuesj-577	240	10	of	of	ADP
cuesj-577	240	11	exploration	exploration	NOUN
cuesj-577	240	12	and	and	CCONJ
cuesj-577	240	13	exploration	exploration	NOUN
cuesj-577	240	14	for	for	ADP
cuesj-577	240	15	natural	natural	ADJ
cuesj-577	240	16	gas	gas	NOUN
cuesj-577	240	17	in	in	ADP
cuesj-577	240	18	iraq	iraq	PROPN
cuesj-577	240	19	,	,	PUNCT
cuesj-577	240	20	and	and	CCONJ
cuesj-577	240	21	using	use	VERB
cuesj-577	240	22	modern	modern	ADJ
cuesj-577	240	23	techniques	technique	NOUN
cuesj-577	240	24	to	to	PART
cuesj-577	240	25	increase	increase	VERB
cuesj-577	240	26	iraq	iraq	PROPN
cuesj-577	240	27	’s	’s	PART
cuesj-577	240	28	proven	prove	VERB
cuesj-577	240	29	and	and	CCONJ
cuesj-577	240	30	potential	potential	ADJ
cuesj-577	240	31	reserves	reserve	NOUN
cuesj-577	240	32	of	of	ADP
cuesj-577	240	33	natural	natural	ADJ
cuesj-577	240	34	gas	gas	NOUN
cuesj-577	240	35	.	.	PUNCT
cuesj-577	241	1	3	3	X
cuesj-577	241	2	.	.	X
cuesj-577	241	3	reconstruction	reconstruction	NOUN
cuesj-577	241	4	,	,	PUNCT
cuesj-577	241	5	rehabilitation	rehabilitation	NOUN
cuesj-577	241	6	,	,	PUNCT
cuesj-577	241	7	and	and	CCONJ
cuesj-577	241	8	development	development	NOUN
cuesj-577	241	9	of	of	ADP
cuesj-577	241	10	the	the	DET
cuesj-577	241	11	infrastructure	infrastructure	NOUN
cuesj-577	241	12	of	of	ADP
cuesj-577	241	13	the	the	DET
cuesj-577	241	14	oil	oil	NOUN
cuesj-577	241	15	and	and	CCONJ
cuesj-577	241	16	gas	gas	NOUN
cuesj-577	241	17	industry	industry	NOUN
cuesj-577	241	18	,	,	PUNCT
cuesj-577	241	19	which	which	PRON
cuesj-577	241	20	was	be	AUX
cuesj-577	241	21	subjected	subject	VERB
cuesj-577	241	22	to	to	ADP
cuesj-577	241	23	significant	significant	ADJ
cuesj-577	241	24	damage	damage	NOUN
cuesj-577	241	25	due	due	ADP
cuesj-577	241	26	to	to	ADP
cuesj-577	241	27	wars	war	NOUN
cuesj-577	241	28	,	,	PUNCT
cuesj-577	241	29	economic	economic	ADJ
cuesj-577	241	30	blockade	blockade	NOUN
cuesj-577	241	31	,	,	PUNCT
cuesj-577	241	32	and	and	CCONJ
cuesj-577	241	33	neglect	neglect	NOUN
cuesj-577	241	34	,	,	PUNCT
cuesj-577	241	35	which	which	PRON
cuesj-577	241	36	led	lead	VERB
cuesj-577	241	37	to	to	ADP
cuesj-577	241	38	the	the	DET
cuesj-577	241	39	obsolescence	obsolescence	NOUN
cuesj-577	241	40	of	of	ADP
cuesj-577	241	41	the	the	DET
cuesj-577	241	42	existing	exist	VERB
cuesj-577	241	43	ones	one	NOUN
cuesj-577	241	44	,	,	PUNCT
cuesj-577	241	45	and	and	CCONJ
cuesj-577	241	46	which	which	PRON
cuesj-577	241	47	weakened	weaken	VERB
cuesj-577	241	48	its	its	PRON
cuesj-577	241	49	production	production	NOUN
cuesj-577	241	50	and	and	CCONJ
cuesj-577	241	51	marketing	marketing	NOUN
cuesj-577	241	52	capabilities.figure	capabilities.figure	NOUN
cuesj-577	241	53	28	28	NUM
cuesj-577	241	54	:	:	PUNCT
cuesj-577	241	55	pacf	pacf	NOUN
cuesj-577	241	56	for	for	ADP
cuesj-577	241	57	arima	arima	PROPN
cuesj-577	241	58	(	(	PUNCT
cuesj-577	241	59	0,1,1	0,1,1	NUM
cuesj-577	241	60	)	)	PUNCT
cuesj-577	241	61	use	use	VERB
cuesj-577	241	62	meyer	meyer	PROPN
cuesj-577	241	63	d	d	PROPN
cuesj-577	241	64	method	method	PROPN
cuesj-577	241	65	hussein	hussein	PROPN
cuesj-577	241	66	:	:	PUNCT
cuesj-577	241	67	comparison	comparison	NOUN
cuesj-577	241	68	of	of	ADP
cuesj-577	241	69	time	time	NOUN
cuesj-577	241	70	series	series	NOUN
cuesj-577	241	71	models	model	NOUN
cuesj-577	241	72	before	before	ADP
cuesj-577	241	73	and	and	CCONJ
cuesj-577	241	74	after	after	ADP
cuesj-577	241	75	using	use	VERB
cuesj-577	241	76	wavelet	wavelet	NOUN
cuesj-577	241	77	shrinkage	shrinkage	NOUN
cuesj-577	241	78	filtering	filter	VERB
cuesj-577	241	79	46	46	NUM
cuesj-577	241	80	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-577	241	81	cuesj	cuesj	ADJ
cuesj-577	241	82	2022	2022	NUM
cuesj-577	241	83	,	,	PUNCT
cuesj-577	241	84	6	6	NUM
cuesj-577	241	85	(	(	PUNCT
cuesj-577	241	86	1	1	NUM
cuesj-577	241	87	):	):	PUNCT
cuesj-577	241	88	32	32	NUM
cuesj-577	241	89	-	-	SYM
cuesj-577	241	90	46	46	NUM
cuesj-577	241	91	references	reference	NOUN
cuesj-577	241	92	1	1	NUM
cuesj-577	241	93	.	.	PUNCT
cuesj-577	241	94	m.	m.	NOUN
cuesj-577	241	95	m.	m.	PROPN
cuesj-577	241	96	ali	ali	PROPN
cuesj-577	241	97	,	,	PUNCT
cuesj-577	241	98	m.	m.	PROPN
cuesj-577	241	99	z.	z.	PROPN
cuesj-577	241	100	babai	babai	PROPN
cuesj-577	241	101	,	,	PUNCT
cuesj-577	241	102	j.	j.	PROPN
cuesj-577	241	103	boylan	boylan	PROPN
cuesj-577	241	104	and	and	CCONJ
cuesj-577	241	105	a.	a.	NOUN
cuesj-577	241	106	a.	a.	NOUN
cuesj-577	241	107	syntetos	syntetos	PROPN
cuesj-577	241	108	.	.	PUNCT
cuesj-577	242	1	supply	supply	NOUN
cuesj-577	242	2	chain	chain	NOUN
cuesj-577	242	3	forecasting	forecasting	NOUN
cuesj-577	242	4	when	when	SCONJ
cuesj-577	242	5	information	information	NOUN
cuesj-577	242	6	is	be	AUX
cuesj-577	242	7	not	not	PART
cuesj-577	242	8	shared	share	VERB
cuesj-577	242	9	.	.	PUNCT
cuesj-577	243	1	european	european	PROPN
cuesj-577	243	2	journal	journal	PROPN
cuesj-577	243	3	of	of	ADP
cuesj-577	243	4	operational	operational	ADJ
cuesj-577	243	5	research	research	NOUN
cuesj-577	243	6	,	,	PUNCT
cuesj-577	243	7	vol	vol	NOUN
cuesj-577	243	8	.	.	PROPN
cuesj-577	243	9	260	260	NUM
cuesj-577	243	10	,	,	PUNCT
cuesj-577	243	11	no	no	INTJ
cuesj-577	243	12	.	.	NOUN
cuesj-577	243	13	3	3	NUM
cuesj-577	243	14	,	,	PUNCT
cuesj-577	243	15	pp	pp	ADJ
cuesj-577	243	16	.	.	PUNCT
cuesj-577	244	1	984	984	NUM
cuesj-577	244	2	-	-	SYM
cuesj-577	244	3	994	994	NUM
cuesj-577	244	4	,	,	PUNCT
cuesj-577	244	5	2017	2017	NUM
cuesj-577	244	6	.	.	PUNCT
cuesj-577	245	1	2	2	X
cuesj-577	245	2	.	.	X
cuesj-577	245	3	s.	s.	PROPN
cuesj-577	245	4	e.	e.	PROPN
cuesj-577	245	5	hikichi	hikichi	PROPN
cuesj-577	245	6	,	,	PUNCT
cuesj-577	245	7	e.	e.	PROPN
cuesj-577	245	8	g.	g.	PROPN
cuesj-577	245	9	salgado	salgado	PROPN
cuesj-577	245	10	and	and	CCONJ
cuesj-577	245	11	l.	l.	PROPN
cuesj-577	245	12	a.	a.	PROPN
cuesj-577	245	13	beijo	beijo	PROPN
cuesj-577	245	14	.	.	PUNCT
cuesj-577	246	1	forecasting	forecasting	NOUN
cuesj-577	246	2	number	number	NOUN
cuesj-577	246	3	of	of	ADP
cuesj-577	246	4	iso	iso	NOUN
cuesj-577	246	5	14001	14001	NUM
cuesj-577	246	6	certifications	certification	NOUN
cuesj-577	246	7	in	in	ADP
cuesj-577	246	8	the	the	DET
cuesj-577	246	9	americas	america	NOUN
cuesj-577	246	10	using	use	VERB
cuesj-577	246	11	arima	arima	NOUN
cuesj-577	246	12	models	model	NOUN
cuesj-577	246	13	.	.	PUNCT
cuesj-577	247	1	journal	journal	NOUN
cuesj-577	247	2	of	of	ADP
cuesj-577	247	3	cleaner	clean	ADJ
cuesj-577	247	4	production	production	NOUN
cuesj-577	247	5	,	,	PUNCT
cuesj-577	247	6	vol	vol	NOUN
cuesj-577	247	7	.	.	PROPN
cuesj-577	247	8	147	147	NUM
cuesj-577	247	9	,	,	PUNCT
cuesj-577	247	10	pp	pp	ADJ
cuesj-577	247	11	.	.	PUNCT
cuesj-577	248	1	242	242	NUM
cuesj-577	248	2	-	-	SYM
cuesj-577	248	3	253	253	NUM
cuesj-577	248	4	,	,	PUNCT
cuesj-577	248	5	2017	2017	NUM
cuesj-577	248	6	.	.	PUNCT
cuesj-577	249	1	3	3	X
cuesj-577	249	2	.	.	PUNCT
cuesj-577	249	3	a.	a.	PROPN
cuesj-577	249	4	w.	w.	PROPN
cuesj-577	249	5	omer	omer	PROPN
cuesj-577	249	6	,	,	PUNCT
cuesj-577	249	7	h.	h.	PROPN
cuesj-577	249	8	t.	t.	PROPN
cuesj-577	249	9	a.	a.	PROPN
cuesj-577	249	10	blbas	blbas	PROPN
cuesj-577	249	11	and	and	CCONJ
cuesj-577	249	12	d.	d.	PROPN
cuesj-577	249	13	h.	h.	PROPN
cuesj-577	249	14	kadir	kadir	PROPN
cuesj-577	249	15	.	.	PUNCT
cuesj-577	250	1	a	a	DET
cuesj-577	250	2	comparison	comparison	NOUN
cuesj-577	250	3	between	between	ADP
cuesj-577	250	4	brown	brown	PROPN
cuesj-577	250	5	’s	’s	PART
cuesj-577	250	6	and	and	CCONJ
cuesj-577	250	7	holt	holt	PROPN
cuesj-577	250	8	’s	’s	PART
cuesj-577	250	9	double	double	ADJ
cuesj-577	250	10	exponential	exponential	NOUN
cuesj-577	250	11	smoothing	smoothing	NOUN
cuesj-577	250	12	for	for	ADP
cuesj-577	250	13	forecasting	forecast	VERB
cuesj-577	250	14	applied	apply	VERB
cuesj-577	250	15	generation	generation	NOUN
cuesj-577	250	16	electrical	electrical	ADJ
cuesj-577	250	17	energies	energy	NOUN
cuesj-577	250	18	in	in	ADP
cuesj-577	250	19	kurdistan	kurdistan	PROPN
cuesj-577	250	20	region	region	NOUN
cuesj-577	250	21	.	.	PUNCT
cuesj-577	251	1	cihan	cihan	VERB
cuesj-577	251	2	university	university	NOUN
cuesj-577	251	3	-	-	PUNCT
cuesj-577	251	4	erbil	erbil	PROPN
cuesj-577	251	5	scientific	scientific	ADJ
cuesj-577	251	6	journal	journal	NOUN
cuesj-577	251	7	(	(	PUNCT
cuesj-577	251	8	cuesj	cuesj	PROPN
cuesj-577	251	9	)	)	PUNCT
cuesj-577	251	10	,	,	PUNCT
cuesj-577	251	11	vol	vol	NOUN
cuesj-577	251	12	.	.	PROPN
cuesj-577	251	13	5	5	NUM
cuesj-577	251	14	,	,	PUNCT
cuesj-577	251	15	no	no	INTJ
cuesj-577	251	16	.	.	NOUN
cuesj-577	251	17	2	2	NUM
cuesj-577	251	18	,	,	PUNCT
cuesj-577	251	19	pp	pp	ADJ
cuesj-577	251	20	.	.	PUNCT
cuesj-577	252	1	56	56	NUM
cuesj-577	252	2	-	-	SYM
cuesj-577	252	3	63	63	NUM
cuesj-577	252	4	,	,	PUNCT
cuesj-577	252	5	2021	2021	NUM
cuesj-577	252	6	.	.	PUNCT
cuesj-577	253	1	4	4	X
cuesj-577	253	2	.	.	X
cuesj-577	253	3	d.	d.	PROPN
cuesj-577	253	4	h.	h.	PROPN
cuesj-577	253	5	kadir	kadir	PROPN
cuesj-577	253	6	.	.	PUNCT
cuesj-577	254	1	time	time	PROPN
cuesj-577	254	2	series	series	PROPN
cuesj-577	254	3	modeling	modeling	NOUN
cuesj-577	254	4	to	to	PART
cuesj-577	254	5	forecast	forecast	VERB
cuesj-577	254	6	on	on	ADP
cuesj-577	254	7	consuming	consume	VERB
cuesj-577	254	8	electricity	electricity	NOUN
cuesj-577	254	9	.	.	PUNCT
cuesj-577	255	1	journal	journal	NOUN
cuesj-577	255	2	of	of	ADP
cuesj-577	255	3	al	al	PROPN
cuesj-577	255	4	rafidain	rafidain	PROPN
cuesj-577	255	5	university	university	PROPN
cuesj-577	255	6	college	college	NOUN
cuesj-577	255	7	,	,	PUNCT
cuesj-577	255	8	vol	vol	NOUN
cuesj-577	255	9	.	.	PUNCT
cuesj-577	255	10	2020	2020	NUM
cuesj-577	255	11	,	,	PUNCT
cuesj-577	255	12	no	no	INTJ
cuesj-577	255	13	.	.	NOUN
cuesj-577	255	14	46	46	NUM
cuesj-577	255	15	,	,	PUNCT
cuesj-577	255	16	pp	pp	ADJ
cuesj-577	255	17	.	.	PUNCT
cuesj-577	256	1	473	473	NUM
cuesj-577	256	2	-	-	NUM
cuesj-577	256	3	485	485	NUM
cuesj-577	256	4	,	,	PUNCT
cuesj-577	256	5	2020	2020	NUM
cuesj-577	256	6	.	.	PUNCT
cuesj-577	257	1	5	5	NUM
cuesj-577	257	2	.	.	PUNCT
cuesj-577	257	3	h.	h.	PROPN
cuesj-577	257	4	r.	r.	PROPN
cuesj-577	257	5	wang	wang	PROPN
cuesj-577	257	6	,	,	PUNCT
cuesj-577	257	7	c.	c.	PROPN
cuesj-577	257	8	wang	wang	PROPN
cuesj-577	257	9	,	,	PUNCT
cuesj-577	257	10	x.	x.	PROPN
cuesj-577	257	11	lin	lin	PROPN
cuesj-577	257	12	and	and	CCONJ
cuesj-577	257	13	j.	j.	PROPN
cuesj-577	257	14	kang	kang	PROPN
cuesj-577	257	15	.	.	PUNCT
cuesj-577	258	1	an	an	DET
cuesj-577	258	2	improved	improve	VERB
cuesj-577	258	3	arima	arima	NOUN
cuesj-577	258	4	model	model	NOUN
cuesj-577	258	5	for	for	ADP
cuesj-577	258	6	hydrological	hydrological	ADJ
cuesj-577	258	7	simulations	simulation	NOUN
cuesj-577	258	8	.	.	PUNCT
cuesj-577	259	1	nonlinear	nonlinear	ADJ
cuesj-577	259	2	processes	process	NOUN
cuesj-577	259	3	in	in	ADP
cuesj-577	259	4	geophysics	geophysic	NOUN
cuesj-577	259	5	discussions	discussion	NOUN
cuesj-577	259	6	.	.	PUNCT
cuesj-577	260	1	nonlinear	nonlinear	ADJ
cuesj-577	260	2	processes	process	NOUN
cuesj-577	260	3	in	in	ADP
cuesj-577	260	4	geophysics	geophysic	NOUN
cuesj-577	260	5	discussions	discussion	NOUN
cuesj-577	260	6	,	,	PUNCT
cuesj-577	260	7	vol	vol	NOUN
cuesj-577	260	8	.	.	PROPN
cuesj-577	260	9	1	1	NUM
cuesj-577	260	10	,	,	PUNCT
cuesj-577	260	11	no	no	INTJ
cuesj-577	260	12	.	.	NOUN
cuesj-577	260	13	1	1	NUM
cuesj-577	260	14	,	,	PUNCT
cuesj-577	260	15	pp	pp	ADJ
cuesj-577	260	16	.	.	PUNCT
cuesj-577	260	17	841	841	NUM
cuesj-577	260	18	-	-	SYM
cuesj-577	260	19	876	876	NUM
cuesj-577	260	20	,	,	PUNCT
cuesj-577	260	21	2014	2014	NUM
cuesj-577	260	22	.	.	PUNCT
cuesj-577	261	1	6	6	NUM
cuesj-577	261	2	.	.	PUNCT
cuesj-577	261	3	k.	k.	PROPN
cuesj-577	261	4	w.	w.	PROPN
cuesj-577	261	5	wang	wang	PROPN
cuesj-577	261	6	,	,	PUNCT
cuesj-577	261	7	c.	c.	PROPN
cuesj-577	261	8	deng	deng	PROPN
cuesj-577	261	9	,	,	PUNCT
cuesj-577	261	10	j.	j.	PROPN
cuesj-577	261	11	p.	p.	PROPN
cuesj-577	261	12	li	li	PROPN
cuesj-577	261	13	,	,	PUNCT
cuesj-577	261	14	y.	y.	PROPN
cuesj-577	261	15	y.	y.	PROPN
cuesj-577	261	16	zhang	zhang	PROPN
cuesj-577	261	17	,	,	PUNCT
cuesj-577	261	18	x.	x.	PROPN
cuesj-577	261	19	y.	y.	PROPN
cuesj-577	261	20	li	li	PROPN
cuesj-577	261	21	and	and	CCONJ
cuesj-577	261	22	m.	m.	PROPN
cuesj-577	261	23	c.	c.	PROPN
cuesj-577	261	24	wu	wu	PROPN
cuesj-577	261	25	.	.	PUNCT
cuesj-577	262	1	hybrid	hybrid	ADJ
cuesj-577	262	2	methodology	methodology	NOUN
cuesj-577	262	3	for	for	ADP
cuesj-577	262	4	tuberculosis	tuberculosis	NOUN
cuesj-577	262	5	incidence	incidence	NOUN
cuesj-577	262	6	time	time	NOUN
cuesj-577	262	7	-	-	PUNCT
cuesj-577	262	8	series	series	NOUN
cuesj-577	262	9	forecasting	forecasting	NOUN
cuesj-577	262	10	based	base	VERB
cuesj-577	262	11	on	on	ADP
cuesj-577	262	12	arima	arima	PROPN
cuesj-577	262	13	and	and	CCONJ
cuesj-577	262	14	a	a	DET
cuesj-577	262	15	nar	nar	NOUN
cuesj-577	262	16	neural	neural	ADJ
cuesj-577	262	17	network	network	NOUN
cuesj-577	262	18	.	.	PUNCT
cuesj-577	263	1	epidemiol	epidemiol	PROPN
cuesj-577	263	2	infect	infect	PROPN
cuesj-577	263	3	,	,	PUNCT
cuesj-577	263	4	vol	vol	NOUN
cuesj-577	263	5	.	.	PROPN
cuesj-577	263	6	145	145	NUM
cuesj-577	263	7	,	,	PUNCT
cuesj-577	263	8	p.	p.	NOUN
cuesj-577	263	9	1118	1118	NUM
cuesj-577	263	10	-	-	SYM
cuesj-577	263	11	1129	1129	NUM
cuesj-577	263	12	,	,	PUNCT
cuesj-577	263	13	2017	2017	NUM
cuesj-577	263	14	.	.	PUNCT
cuesj-577	264	1	7	7	X
cuesj-577	264	2	.	.	X
cuesj-577	264	3	d.	d.	PROPN
cuesj-577	264	4	l.	l.	PROPN
cuesj-577	264	5	fugal	fugal	PROPN
cuesj-577	264	6	.	.	PUNCT
cuesj-577	265	1	conceptual	conceptual	ADJ
cuesj-577	265	2	wavelets	wavelet	NOUN
cuesj-577	265	3	in	in	ADP
cuesj-577	265	4	digital	digital	ADJ
cuesj-577	265	5	signal	signal	NOUN
cuesj-577	265	6	processing	processing	NOUN
cuesj-577	265	7	.	.	PUNCT
cuesj-577	266	1	san	san	PROPN
cuesj-577	266	2	diego	diego	PROPN
cuesj-577	266	3	,	,	PUNCT
cuesj-577	266	4	california	california	PROPN
cuesj-577	266	5	:	:	PUNCT
cuesj-577	266	6	space	space	NOUN
cuesj-577	266	7	and	and	CCONJ
cuesj-577	266	8	signals	signal	VERB
cuesj-577	266	9	technical	technical	ADJ
cuesj-577	266	10	publishing	publishing	NOUN
cuesj-577	266	11	,	,	PUNCT
cuesj-577	266	12	2009	2009	NUM
cuesj-577	266	13	.	.	PUNCT
cuesj-577	267	1	8	8	NUM
cuesj-577	267	2	.	.	PUNCT
cuesj-577	267	3	a.	a.	PROPN
cuesj-577	267	4	s.	s.	PROPN
cuesj-577	267	5	hamad	hamad	PROPN
cuesj-577	267	6	.	.	PUNCT
cuesj-577	268	1	using	use	VERB
cuesj-577	268	2	some	some	DET
cuesj-577	268	3	thresholding	thresholde	VERB
cuesj-577	268	4	rules	rule	NOUN
cuesj-577	268	5	in	in	ADP
cuesj-577	268	6	waveletshrinkage	waveletshrinkage	NOUN
cuesj-577	268	7	to	to	PART
cuesj-577	268	8	denoise	denoise	VERB
cuesj-577	268	9	signals	signal	NOUN
cuesj-577	268	10	for	for	ADP
cuesj-577	268	11	simple	simple	ADJ
cuesj-577	268	12	regression	regression	NOUN
cuesj-577	268	13	withapplic	withapplic	PROPN
cuesj-577	268	14	ation	ation	NOUN
cuesj-577	268	15	in	in	ADP
cuesj-577	268	16	rezgary	rezgary	ADJ
cuesj-577	268	17	hospital	hospital	NOUN
cuesj-577	268	18	.	.	PUNCT
cuesj-577	269	1	sulaimaniyah	sulaimaniyah	NOUN
cuesj-577	269	2	,	,	PUNCT
cuesj-577	269	3	iraq	iraq	PROPN
cuesj-577	269	4	:	:	PUNCT
cuesj-577	269	5	university	university	NOUN
cuesj-577	269	6	of	of	ADP
cuesj-577	269	7	sulaimanicollege	sulaimanicollege	NOUN
cuesj-577	269	8	of	of	ADP
cuesj-577	269	9	administration	administration	NOUN
cuesj-577	269	10	and	and	CCONJ
cuesj-577	269	11	economics	economic	NOUN
cuesj-577	269	12	,	,	PUNCT
cuesj-577	269	13	2010	2010	NUM
cuesj-577	269	14	.	.	PUNCT
cuesj-577	270	1	9	9	NUM
cuesj-577	270	2	.	.	X
cuesj-577	270	3	l.	l.	PROPN
cuesj-577	270	4	xu	xu	PROPN
cuesj-577	270	5	,	,	PUNCT
cuesj-577	270	6	d.	d.	PROPN
cuesj-577	270	7	zhang	zhang	PROPN
cuesj-577	270	8	and	and	CCONJ
cuesj-577	270	9	k.	k.	PROPN
cuesj-577	270	10	wang	wang	PROPN
cuesj-577	270	11	.	.	PUNCT
cuesj-577	271	1	wavelet	wavelet	NOUN
cuesj-577	271	2	-	-	PUNCT
cuesj-577	271	3	based	base	VERB
cuesj-577	271	4	cascaded	cascade	VERB
cuesj-577	271	5	adaptive	adaptive	ADJ
cuesj-577	271	6	filter	filter	NOUN
cuesj-577	271	7	for	for	ADP
cuesj-577	271	8	removing	remove	VERB
cuesj-577	271	9	baseline	baseline	ADJ
cuesj-577	271	10	drift	drift	NOUN
cuesj-577	271	11	in	in	ADP
cuesj-577	271	12	pulse	pulse	NOUN
cuesj-577	271	13	waveforms	waveform	NOUN
cuesj-577	271	14	.	.	PUNCT
cuesj-577	272	1	ieee	ieee	NOUN
cuesj-577	272	2	transactions	transaction	NOUN
cuesj-577	272	3	on	on	ADP
cuesj-577	272	4	biomedical	biomedical	ADJ
cuesj-577	272	5	engineering	engineering	NOUN
cuesj-577	272	6	,	,	PUNCT
cuesj-577	272	7	vol	vol	NOUN
cuesj-577	272	8	.	.	PROPN
cuesj-577	272	9	52	52	NUM
cuesj-577	272	10	,	,	PUNCT
cuesj-577	272	11	no	no	INTJ
cuesj-577	272	12	.	.	NOUN
cuesj-577	272	13	11	11	NUM
cuesj-577	272	14	,	,	PUNCT
cuesj-577	272	15	pp	pp	ADJ
cuesj-577	272	16	.	.	PUNCT
cuesj-577	273	1	1973	1973	NUM
cuesj-577	273	2	-	-	SYM
cuesj-577	273	3	1975	1975	NUM
cuesj-577	273	4	,	,	PUNCT
cuesj-577	273	5	2005	2005	NUM
cuesj-577	273	6	.	.	PUNCT
cuesj-577	274	1	10	10	NUM
cuesj-577	274	2	.	.	PUNCT
cuesj-577	274	3	s.	s.	PROPN
cuesj-577	274	4	a.	a.	PROPN
cuesj-577	274	5	broughton	broughton	PROPN
cuesj-577	274	6	and	and	CCONJ
cuesj-577	274	7	k.	k.	PROPN
cuesj-577	274	8	bryan	bryan	PROPN
cuesj-577	274	9	.	.	PROPN
cuesj-577	275	1	discrete	discrete	ADJ
cuesj-577	275	2	fourier	fourier	NOUN
cuesj-577	275	3	analysis	analysis	NOUN
cuesj-577	275	4	and	and	CCONJ
cuesj-577	275	5	wavelets	wavelet	NOUN
cuesj-577	275	6	.	.	PUNCT
cuesj-577	276	1	united	united	PROPN
cuesj-577	276	2	states	states	PROPN
cuesj-577	276	3	:	:	PUNCT
cuesj-577	276	4	john	john	PROPN
cuesj-577	276	5	wiley	wiley	PROPN
cuesj-577	276	6	&	&	CCONJ
cuesj-577	276	7	sons	son	NOUN
cuesj-577	276	8	,	,	PUNCT
cuesj-577	276	9	2009	2009	NUM
cuesj-577	276	10	.	.	PUNCT
cuesj-577	277	1	11	11	NUM
cuesj-577	277	2	.	.	PUNCT
cuesj-577	277	3	c.	c.	PROPN
cuesj-577	277	4	s.	s.	PROPN
cuesj-577	277	5	burrus	burrus	PROPN
cuesj-577	277	6	,	,	PUNCT
cuesj-577	277	7	r.	r.	PROPN
cuesj-577	277	8	a.	a.	PROPN
cuesj-577	277	9	gopinath	gopinath	PROPN
cuesj-577	277	10	and	and	CCONJ
cuesj-577	277	11	h.	h.	PROPN
cuesj-577	277	12	t.	t.	PROPN
cuesj-577	277	13	guo	guo	PROPN
cuesj-577	277	14	.	.	PUNCT
cuesj-577	278	1	introduction	introduction	NOUN
cuesj-577	278	2	to	to	ADP
cuesj-577	278	3	wavelets	wavelet	NOUN
cuesj-577	278	4	and	and	CCONJ
cuesj-577	278	5	wavelet	wavelet	NOUN
cuesj-577	278	6	transforms	transform	VERB
cuesj-577	278	7	.	.	PUNCT
cuesj-577	279	1	united	united	PROPN
cuesj-577	279	2	states	states	PROPN
cuesj-577	279	3	:	:	PUNCT
cuesj-577	279	4	prentice	prentice	PROPN
cuesj-577	279	5	hall	hall	PROPN
cuesj-577	279	6	,	,	PUNCT
cuesj-577	279	7	1998	1998	NUM
cuesj-577	279	8	.	.	PUNCT
cuesj-577	280	1	12	12	NUM
cuesj-577	280	2	.	.	PUNCT
cuesj-577	281	1	p.	p.	NOUN
cuesj-577	281	2	bloomfield	bloomfield	PROPN
cuesj-577	281	3	.	.	PUNCT
cuesj-577	282	1	fourier	fouri	ADJ
cuesj-577	282	2	analysis	analysis	NOUN
cuesj-577	282	3	of	of	ADP
cuesj-577	282	4	time	time	NOUN
cuesj-577	282	5	series	series	NOUN
cuesj-577	282	6	:	:	PUNCT
cuesj-577	282	7	an	an	DET
cuesj-577	282	8	introduction	introduction	NOUN
cuesj-577	282	9	.	.	PUNCT
cuesj-577	283	1	2nd	2nd	ADJ
cuesj-577	283	2	ed	ed	PROPN
cuesj-577	283	3	.	.	PUNCT
cuesj-577	284	1	united	united	PROPN
cuesj-577	284	2	states	states	PROPN
cuesj-577	284	3	:	:	PUNCT
cuesj-577	284	4	john	john	PROPN
cuesj-577	284	5	wiley	wiley	PROPN
cuesj-577	284	6	&	&	CCONJ
cuesj-577	284	7	sons	son	NOUN
cuesj-577	284	8	,	,	PUNCT
cuesj-577	284	9	2013	2013	NUM
cuesj-577	284	10	.	.	PUNCT
cuesj-577	285	1	13	13	NUM
cuesj-577	285	2	.	.	PUNCT
cuesj-577	285	3	i.	i.	PROPN
cuesj-577	285	4	l.	l.	PROPN
cuesj-577	285	5	cascio	cascio	PROPN
cuesj-577	285	6	.	.	PUNCT
cuesj-577	286	1	wavelet	wavelet	NOUN
cuesj-577	286	2	analysis	analysis	NOUN
cuesj-577	286	3	and	and	CCONJ
cuesj-577	286	4	denoising	denoising	NOUN
cuesj-577	286	5	:	:	PUNCT
cuesj-577	286	6	new	new	ADJ
cuesj-577	286	7	tools	tool	NOUN
cuesj-577	286	8	for	for	ADP
cuesj-577	286	9	economists	economist	NOUN
cuesj-577	286	10	.	.	PUNCT
cuesj-577	287	1	london	london	PROPN
cuesj-577	287	2	,	,	PUNCT
cuesj-577	287	3	uk	uk	PROPN
cuesj-577	287	4	:	:	PUNCT
cuesj-577	287	5	queen	queen	PROPN
cuesj-577	287	6	mary	mary	PROPN
cuesj-577	287	7	college	college	PROPN
cuesj-577	287	8	,	,	PUNCT
cuesj-577	287	9	2007	2007	NUM
cuesj-577	287	10	.	.	PUNCT
cuesj-577	288	1	14	14	NUM
cuesj-577	288	2	.	.	PUNCT
cuesj-577	289	1	c.	c.	PROPN
cuesj-577	289	2	k.	k.	PROPN
cuesj-577	289	3	chui	chui	PROPN
cuesj-577	289	4	.	.	PUNCT
cuesj-577	290	1	wavelets	wavelet	NOUN
cuesj-577	290	2	:	:	PUNCT
cuesj-577	290	3	a	a	DET
cuesj-577	290	4	tutorial	tutorial	NOUN
cuesj-577	290	5	in	in	ADP
cuesj-577	290	6	theory	theory	NOUN
cuesj-577	290	7	and	and	CCONJ
cuesj-577	290	8	applications	application	NOUN
cuesj-577	290	9	.	.	PUNCT
cuesj-577	291	1	san	san	PROPN
cuesj-577	291	2	diego	diego	PROPN
cuesj-577	291	3	,	,	PUNCT
cuesj-577	291	4	united	united	PROPN
cuesj-577	291	5	state	state	PROPN
cuesj-577	291	6	:	:	PUNCT
cuesj-577	291	7	academic	academic	ADJ
cuesj-577	291	8	press	press	NOUN
cuesj-577	291	9	professional	professional	NOUN
cuesj-577	291	10	,	,	PUNCT
cuesj-577	291	11	1992	1992	NUM
cuesj-577	291	12	.	.	PUNCT
cuesj-577	292	1	15	15	NUM
cuesj-577	292	2	.	.	PUNCT
cuesj-577	292	3	i.	i.	PROPN
cuesj-577	292	4	daubechies	daubechies	PROPN
cuesj-577	292	5	.	.	PUNCT
cuesj-577	293	1	ten	ten	NUM
cuesj-577	293	2	lectures	lecture	NOUN
cuesj-577	293	3	on	on	ADP
cuesj-577	293	4	wavelets	wavelet	NOUN
cuesj-577	293	5	.	.	PUNCT
cuesj-577	294	1	united	united	PROPN
cuesj-577	294	2	states	states	PROPN
cuesj-577	294	3	:	:	PUNCT
cuesj-577	294	4	society	society	NOUN
cuesj-577	294	5	for	for	ADP
cuesj-577	294	6	industrial	industrial	ADJ
cuesj-577	294	7	and	and	CCONJ
cuesj-577	294	8	applied	applied	ADJ
cuesj-577	294	9	mathematics	mathematic	NOUN
cuesj-577	294	10	,	,	PUNCT
cuesj-577	294	11	1992	1992	NUM
cuesj-577	294	12	.	.	PUNCT
cuesj-577	295	1	16	16	NUM
cuesj-577	295	2	.	.	PUNCT
cuesj-577	296	1	f.	f.	PROPN
cuesj-577	296	2	w.	w.	PROPN
cuesj-577	296	3	elliott	elliott	PROPN
cuesj-577	296	4	,	,	PUNCT
cuesj-577	296	5	d.	d.	PROPN
cuesj-577	296	6	j.	j.	PROPN
cuesj-577	296	7	horntrop	horntrop	PROPN
cuesj-577	296	8	and	and	CCONJ
cuesj-577	296	9	a.	a.	NOUN
cuesj-577	296	10	j.	j.	PROPN
cuesj-577	296	11	majda	majda	PROPN
cuesj-577	296	12	.	.	PUNCT
cuesj-577	297	1	a	a	DET
cuesj-577	297	2	fourier	fourier	ADJ
cuesj-577	297	3	-	-	PUNCT
cuesj-577	297	4	wavelet	wavelet	NOUN
cuesj-577	297	5	monte	monte	PROPN
cuesj-577	297	6	carlo	carlo	PROPN
cuesj-577	297	7	method	method	NOUN
cuesj-577	297	8	for	for	ADP
cuesj-577	297	9	fractal	fractal	ADJ
cuesj-577	297	10	random	random	ADJ
cuesj-577	297	11	fields	field	NOUN
cuesj-577	297	12	.	.	PUNCT
cuesj-577	298	1	journal	journal	NOUN
cuesj-577	298	2	of	of	ADP
cuesj-577	298	3	computational	computational	ADJ
cuesj-577	298	4	physics	physics	NOUN
cuesj-577	298	5	,	,	PUNCT
cuesj-577	298	6	vol	vol	NOUN
cuesj-577	298	7	.	.	PROPN
cuesj-577	298	8	132	132	NUM
cuesj-577	298	9	,	,	PUNCT
cuesj-577	298	10	no	no	INTJ
cuesj-577	298	11	.	.	NOUN
cuesj-577	298	12	2	2	NUM
cuesj-577	298	13	,	,	PUNCT
cuesj-577	298	14	pp	pp	ADJ
cuesj-577	298	15	.	.	PUNCT
cuesj-577	299	1	384	384	NUM
cuesj-577	299	2	-	-	SYM
cuesj-577	299	3	408	408	NUM
cuesj-577	299	4	,	,	PUNCT
cuesj-577	299	5	1997	1997	NUM
cuesj-577	299	6	.	.	PUNCT
cuesj-577	300	1	17	17	NUM
cuesj-577	300	2	.	.	PUNCT
cuesj-577	301	1	s.	s.	PROPN
cuesj-577	301	2	abbasion	abbasion	PROPN
cuesj-577	301	3	,	,	PUNCT
cuesj-577	301	4	a.	a.	NOUN
cuesj-577	301	5	rafsanjani	rafsanjani	PROPN
cuesj-577	301	6	,	,	PUNCT
cuesj-577	301	7	a.	a.	NOUN
cuesj-577	301	8	farshidianfar	farshidianfar	ADV
cuesj-577	301	9	and	and	CCONJ
cuesj-577	301	10	n.	n.	PROPN
cuesj-577	301	11	irani	irani	PROPN
cuesj-577	301	12	.	.	PUNCT
cuesj-577	302	1	rolling	rolling	ADJ
cuesj-577	302	2	element	element	NOUN
cuesj-577	302	3	bearings	bearing	NOUN
cuesj-577	302	4	multi	multi	ADJ
cuesj-577	302	5	-	-	ADJ
cuesj-577	302	6	fault	fault	VERB
cuesj-577	302	7	classification	classification	NOUN
cuesj-577	302	8	based	base	VERB
cuesj-577	302	9	on	on	ADP
cuesj-577	302	10	the	the	DET
cuesj-577	302	11	wavelet	wavelet	NOUN
cuesj-577	302	12	denoising	denoising	NOUN
cuesj-577	302	13	and	and	CCONJ
cuesj-577	302	14	support	support	VERB
cuesj-577	302	15	vector	vector	NOUN
cuesj-577	302	16	machine	machine	NOUN
cuesj-577	302	17	.	.	PUNCT
cuesj-577	303	1	mechanical	mechanical	ADJ
cuesj-577	303	2	systems	system	NOUN
cuesj-577	303	3	and	and	CCONJ
cuesj-577	303	4	signal	signal	NOUN
cuesj-577	303	5	processing	processing	NOUN
cuesj-577	303	6	,	,	PUNCT
cuesj-577	303	7	vol	vol	NOUN
cuesj-577	303	8	.	.	PROPN
cuesj-577	303	9	21	21	NUM
cuesj-577	303	10	,	,	PUNCT
cuesj-577	303	11	no	no	INTJ
cuesj-577	303	12	.	.	NOUN
cuesj-577	303	13	7	7	NUM
cuesj-577	303	14	,	,	PUNCT
cuesj-577	303	15	pp	pp	ADJ
cuesj-577	303	16	.	.	PUNCT
cuesj-577	304	1	2933	2933	NUM
cuesj-577	304	2	-	-	SYM
cuesj-577	304	3	2945	2945	NUM
cuesj-577	304	4	,	,	PUNCT
cuesj-577	304	5	2007	2007	NUM
cuesj-577	304	6	.	.	PUNCT
cuesj-577	305	1	18	18	NUM
cuesj-577	305	2	.	.	PUNCT
cuesj-577	306	1	h.	h.	PROPN
cuesj-577	306	2	y.	y.	PROPN
cuesj-577	306	3	gao	gao	PROPN
cuesj-577	306	4	and	and	CCONJ
cuesj-577	306	5	a.	a.	PROPN
cuesj-577	306	6	g.	g.	PROPN
cuesj-577	306	7	bruce	bruce	PROPN
cuesj-577	306	8	.	.	PUNCT
cuesj-577	307	1	waveshrink	waveshrink	VERB
cuesj-577	307	2	with	with	ADP
cuesj-577	307	3	firm	firm	ADJ
cuesj-577	307	4	shrinkage	shrinkage	NOUN
cuesj-577	307	5	.	.	PUNCT
cuesj-577	308	1	statistica	statistica	PROPN
cuesj-577	308	2	sinica	sinica	PROPN
cuesj-577	308	3	,	,	PUNCT
cuesj-577	308	4	vol	vol	NOUN
cuesj-577	308	5	.	.	PROPN
cuesj-577	309	1	7	7	NUM
cuesj-577	309	2	,	,	PUNCT
cuesj-577	309	3	pp	pp	ADJ
cuesj-577	309	4	.	.	PUNCT
cuesj-577	310	1	855	855	NUM
cuesj-577	310	2	-	-	SYM
cuesj-577	310	3	874	874	NUM
cuesj-577	310	4	,	,	PUNCT
cuesj-577	310	5	1997	1997	NUM
cuesj-577	310	6	.	.	PUNCT
cuesj-577	311	1	19	19	NUM
cuesj-577	311	2	.	.	PUNCT
cuesj-577	311	3	j.	j.	PROPN
cuesj-577	311	4	kovacevic	kovacevic	PROPN
cuesj-577	311	5	and	and	CCONJ
cuesj-577	311	6	w.	w.	PROPN
cuesj-577	311	7	sweldens	sweldens	PROPN
cuesj-577	311	8	.	.	PUNCT
cuesj-577	312	1	wavelet	wavelet	NOUN
cuesj-577	312	2	families	family	NOUN
cuesj-577	312	3	of	of	ADP
cuesj-577	312	4	increasing	increase	VERB
cuesj-577	312	5	order	order	NOUN
cuesj-577	312	6	in	in	ADP
cuesj-577	312	7	arbitrary	arbitrary	ADJ
cuesj-577	312	8	dimensions	dimension	NOUN
cuesj-577	312	9	.	.	PUNCT
cuesj-577	313	1	ieee	ieee	NOUN
cuesj-577	313	2	transactions	transaction	NOUN
cuesj-577	313	3	on	on	ADP
cuesj-577	313	4	image	image	NOUN
cuesj-577	313	5	processing	processing	NOUN
cuesj-577	313	6	,	,	PUNCT
cuesj-577	313	7	vol	vol	NOUN
cuesj-577	313	8	.	.	NOUN
cuesj-577	313	9	9	9	NUM
cuesj-577	313	10	,	,	PUNCT
cuesj-577	313	11	no	no	INTJ
cuesj-577	313	12	.	.	NOUN
cuesj-577	313	13	3	3	NUM
cuesj-577	313	14	,	,	PUNCT
cuesj-577	313	15	pp	pp	ADJ
cuesj-577	313	16	.	.	PUNCT
cuesj-577	314	1	480	480	NUM
cuesj-577	314	2	-	-	SYM
cuesj-577	314	3	496	496	NUM
cuesj-577	314	4	,	,	PUNCT
cuesj-577	314	5	2000	2000	NUM
cuesj-577	314	6	.	.	PUNCT
cuesj-577	315	1	20	20	NUM
cuesj-577	315	2	.	.	X
cuesj-577	315	3	comparing	compare	VERB
cuesj-577	315	4	fitted	fit	VERB
cuesj-577	315	5	models	model	NOUN
cuesj-577	315	6	using	use	VERB
cuesj-577	315	7	the	the	DET
cuesj-577	315	8	sic	sic	ADJ
cuesj-577	315	9	,	,	PUNCT
cuesj-577	315	10	hqic	hqic	ADJ
cuesj-577	315	11	or	or	CCONJ
cuesj-577	315	12	aic	aic	PROPN
cuesj-577	315	13	information	information	NOUN
cuesj-577	315	14	criteria	criterion	NOUN
cuesj-577	315	15	.	.	PUNCT
cuesj-577	316	1	vose	vose	PROPN
cuesj-577	316	2	.	.	PROPN
cuesj-577	316	3	available	available	ADJ
cuesj-577	316	4	from	from	ADP
cuesj-577	316	5	:	:	PUNCT
cuesj-577	316	6	https://www.vosesoftware.com/	https://www.vosesoftware.com/	ADJ
cuesj-577	316	7	riskwiki	riskwiki	PROPN
cuesj-577	316	8	[	[	X
cuesj-577	316	9	last	last	ADV
cuesj-577	316	10	accessed	access	VERB
cuesj-577	316	11	on	on	ADP
cuesj-577	316	12	2022	2022	NUM
cuesj-577	316	13	jan	jan	PROPN
cuesj-577	316	14	01	01	NUM
cuesj-577	316	15	]	]	PUNCT
cuesj-577	316	16	.	.	PUNCT