id	sid	tid	token	lemma	pos
cuesj-547	1	1	tx_1	tx_1	PROPN
cuesj-547	1	2	~	~	X
cuesj-547	1	3	abs	ab	NOUN
cuesj-547	1	4	:	:	PUNCT
cuesj-547	1	5	at	at	ADP
cuesj-547	1	6	/	/	SYM
cuesj-547	1	7	add	add	VERB
cuesj-547	1	8	:	:	PUNCT
cuesj-547	1	9	tx_2	tx_2	PROPN
cuesj-547	1	10	~	~	NOUN
cuesj-547	1	11	abs	ab	NOUN
cuesj-547	1	12	:	:	PUNCT
cuesj-547	1	13	at	at	ADP
cuesj-547	1	14	12	12	NUM
cuesj-547	1	15	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-547	1	16	cuesj	cuesj	ADJ
cuesj-547	1	17	2022	2022	NUM
cuesj-547	1	18	,	,	PUNCT
cuesj-547	1	19	6	6	NUM
cuesj-547	1	20	(	(	PUNCT
cuesj-547	1	21	1	1	NUM
cuesj-547	1	22	):	):	PUNCT
cuesj-547	1	23	12	12	NUM
cuesj-547	1	24	-	-	SYM
cuesj-547	1	25	19	19	NUM
cuesj-547	1	26	research	research	NOUN
cuesj-547	1	27	article	article	NOUN
cuesj-547	1	28	us	us	PROPN
cuesj-547	1	29	dollar	dollar	PROPN
cuesj-547	1	30	/	/	SYM
cuesj-547	1	31	iq	iq	PROPN
cuesj-547	1	32	dinar	dinar	PROPN
cuesj-547	1	33	currency	currency	NOUN
cuesj-547	1	34	exchange	exchange	NOUN
cuesj-547	1	35	rates	rate	NOUN
cuesj-547	1	36	time	time	NOUN
cuesj-547	1	37	series	series	PROPN
cuesj-547	1	38	forecasting	forecasting	NOUN
cuesj-547	1	39	using	use	VERB
cuesj-547	1	40	arima	arima	PROPN
cuesj-547	1	41	model	model	NOUN
cuesj-547	1	42	parzhin	parzhin	PROPN
cuesj-547	1	43	a.	a.	PROPN
cuesj-547	1	44	mohammed1	mohammed1	PROPN
cuesj-547	1	45	,	,	PUNCT
cuesj-547	1	46	sami	sami	PROPN
cuesj-547	1	47	a.	a.	PROPN
cuesj-547	1	48	obed1	obed1	PROPN
cuesj-547	1	49	,	,	PUNCT
cuesj-547	1	50	israa	israa	ADJ
cuesj-547	1	51	m.	m.	NOUN
cuesj-547	1	52	ali1	ali1	PROPN
cuesj-547	1	53	,	,	PUNCT
cuesj-547	1	54	dler	dler	NOUN
cuesj-547	1	55	h.	h.	PROPN
cuesj-547	1	56	kadir1,2	kadir1,2	PROPN
cuesj-547	1	57	1department	1department	NUM
cuesj-547	1	58	of	of	ADP
cuesj-547	1	59	statistics	statistic	NOUN
cuesj-547	1	60	,	,	PUNCT
cuesj-547	1	61	college	college	NOUN
cuesj-547	1	62	of	of	ADP
cuesj-547	1	63	administration	administration	NOUN
cuesj-547	1	64	and	and	CCONJ
cuesj-547	1	65	economics	economic	NOUN
cuesj-547	1	66	,	,	PUNCT
cuesj-547	1	67	salahaddin	salahaddin	VERB
cuesj-547	1	68	university	university	NOUN
cuesj-547	1	69	-	-	PUNCT
cuesj-547	1	70	erbil	erbil	PROPN
cuesj-547	1	71	,	,	PUNCT
cuesj-547	1	72	kurdistan	kurdistan	PROPN
cuesj-547	1	73	region	region	PROPN
cuesj-547	1	74	f.r	f.r	PROPN
cuesj-547	1	75	.	.	PUNCT
cuesj-547	1	76	iraq	iraq	PROPN
cuesj-547	1	77	.	.	PUNCT
cuesj-547	1	78	,	,	PUNCT
cuesj-547	2	1	2department	2department	NUM
cuesj-547	2	2	of	of	ADP
cuesj-547	2	3	business	business	NOUN
cuesj-547	2	4	administration	administration	NOUN
cuesj-547	2	5	,	,	PUNCT
cuesj-547	2	6	cihan	cihan	VERB
cuesj-547	2	7	university	university	NOUN
cuesj-547	2	8	-	-	PUNCT
cuesj-547	2	9	erbil	erbil	PROPN
cuesj-547	2	10	,	,	PUNCT
cuesj-547	2	11	iraq	iraq	PROPN
cuesj-547	2	12	abstract	abstract	NOUN
cuesj-547	2	13	the	the	DET
cuesj-547	2	14	use	use	NOUN
cuesj-547	2	15	of	of	ADP
cuesj-547	2	16	currency	currency	NOUN
cuesj-547	2	17	exchange	exchange	NOUN
cuesj-547	2	18	estimation	estimation	NOUN
cuesj-547	2	19	as	as	ADP
cuesj-547	2	20	a	a	DET
cuesj-547	2	21	tool	tool	NOUN
cuesj-547	2	22	for	for	ADP
cuesj-547	2	23	economic	economic	ADJ
cuesj-547	2	24	planning	planning	NOUN
cuesj-547	2	25	is	be	AUX
cuesj-547	2	26	being	be	AUX
cuesj-547	2	27	researched	research	VERB
cuesj-547	2	28	as	as	ADP
cuesj-547	2	29	a	a	DET
cuesj-547	2	30	technique	technique	NOUN
cuesj-547	2	31	for	for	ADP
cuesj-547	2	32	gaining	gain	VERB
cuesj-547	2	33	economic	economic	ADJ
cuesj-547	2	34	stability	stability	NOUN
cuesj-547	2	35	.	.	PUNCT
cuesj-547	3	1	the	the	DET
cuesj-547	3	2	main	main	ADJ
cuesj-547	3	3	purpose	purpose	NOUN
cuesj-547	3	4	of	of	ADP
cuesj-547	3	5	this	this	DET
cuesj-547	3	6	study	study	NOUN
cuesj-547	3	7	is	be	AUX
cuesj-547	3	8	to	to	PART
cuesj-547	3	9	use	use	VERB
cuesj-547	3	10	the	the	DET
cuesj-547	3	11	autoregressive	autoregressive	ADJ
cuesj-547	3	12	integrated	integrated	ADJ
cuesj-547	3	13	moving	move	VERB
cuesj-547	3	14	average	average	ADJ
cuesj-547	3	15	(	(	PUNCT
cuesj-547	3	16	arima	arima	PROPN
cuesj-547	3	17	)	)	PUNCT
cuesj-547	3	18	model	model	NOUN
cuesj-547	3	19	to	to	PART
cuesj-547	3	20	forecast	forecast	VERB
cuesj-547	3	21	monthly	monthly	ADJ
cuesj-547	3	22	us	us	PROPN
cuesj-547	3	23	dollar	dollar	NOUN
cuesj-547	3	24	against	against	ADP
cuesj-547	3	25	iq	iq	PROPN
cuesj-547	3	26	dinar	dinar	PROPN
cuesj-547	3	27	exchange	exchange	NOUN
cuesj-547	3	28	rates	rate	NOUN
cuesj-547	3	29	.	.	PUNCT
cuesj-547	4	1	the	the	DET
cuesj-547	4	2	information	information	NOUN
cuesj-547	4	3	was	be	AUX
cuesj-547	4	4	gathered	gather	VERB
cuesj-547	4	5	from	from	ADP
cuesj-547	4	6	january	january	PROPN
cuesj-547	4	7	2010	2010	NUM
cuesj-547	4	8	to	to	ADP
cuesj-547	4	9	december	december	PROPN
cuesj-547	4	10	2020	2020	NUM
cuesj-547	4	11	.	.	PUNCT
cuesj-547	5	1	we	we	PRON
cuesj-547	5	2	got	get	VERB
cuesj-547	5	3	the	the	DET
cuesj-547	5	4	information	information	NOUN
cuesj-547	5	5	from	from	ADP
cuesj-547	5	6	the	the	DET
cuesj-547	5	7	website	website	NOUN
cuesj-547	5	8	(	(	PUNCT
cuesj-547	5	9	sa.investing.com	sa.investing.com	X
cuesj-547	5	10	)	)	PUNCT
cuesj-547	5	11	.	.	PUNCT
cuesj-547	6	1	the	the	DET
cuesj-547	6	2	minimum	minimum	ADJ
cuesj-547	6	3	value	value	NOUN
cuesj-547	6	4	of	of	ADP
cuesj-547	6	5	root	root	NOUN
cuesj-547	6	6	means	mean	VERB
cuesj-547	6	7	square	square	ADJ
cuesj-547	6	8	error	error	NOUN
cuesj-547	6	9	and	and	CCONJ
cuesj-547	6	10	the	the	DET
cuesj-547	6	11	mean	mean	ADJ
cuesj-547	6	12	absolute	absolute	ADJ
cuesj-547	6	13	error	error	NOUN
cuesj-547	6	14	are	be	AUX
cuesj-547	6	15	used	use	VERB
cuesj-547	6	16	to	to	PART
cuesj-547	6	17	select	select	VERB
cuesj-547	6	18	the	the	DET
cuesj-547	6	19	optimal	optimal	ADJ
cuesj-547	6	20	model	model	NOUN
cuesj-547	6	21	.	.	PUNCT
cuesj-547	7	1	arima	arima	PROPN
cuesj-547	7	2	(	(	PUNCT
cuesj-547	7	3	2	2	NUM
cuesj-547	7	4	,	,	PUNCT
cuesj-547	7	5	1	1	NUM
cuesj-547	7	6	,	,	PUNCT
cuesj-547	7	7	0	0	NUM
cuesj-547	7	8	)	)	PUNCT
cuesj-547	7	9	was	be	AUX
cuesj-547	7	10	found	find	VERB
cuesj-547	7	11	to	to	PART
cuesj-547	7	12	be	be	AUX
cuesj-547	7	13	the	the	DET
cuesj-547	7	14	best	good	ADJ
cuesj-547	7	15	model	model	NOUN
cuesj-547	7	16	for	for	ADP
cuesj-547	7	17	the	the	DET
cuesj-547	7	18	us	us	PROPN
cuesj-547	7	19	dollar	dollar	NOUN
cuesj-547	7	20	/	/	SYM
cuesj-547	7	21	iq	iq	PROPN
cuesj-547	7	22	dinar	dinar	PROPN
cuesj-547	7	23	series	series	PROPN
cuesj-547	7	24	.	.	PUNCT
cuesj-547	8	1	this	this	PRON
cuesj-547	8	2	is	be	AUX
cuesj-547	8	3	the	the	DET
cuesj-547	8	4	forecasted	forecast	VERB
cuesj-547	8	5	meaning	meaning	NOUN
cuesj-547	8	6	for	for	ADP
cuesj-547	8	7	the	the	DET
cuesj-547	8	8	future	future	NOUN
cuesj-547	8	9	of	of	ADP
cuesj-547	8	10	this	this	DET
cuesj-547	8	11	exchange	exchange	NOUN
cuesj-547	8	12	rate	rate	NOUN
cuesj-547	8	13	time	time	NOUN
cuesj-547	8	14	series	series	PROPN
cuesj-547	8	15	,	,	PUNCT
cuesj-547	8	16	which	which	PRON
cuesj-547	8	17	indicates	indicate	VERB
cuesj-547	8	18	a	a	DET
cuesj-547	8	19	perpetual	perpetual	ADJ
cuesj-547	8	20	increase	increase	NOUN
cuesj-547	8	21	continuously	continuously	ADV
cuesj-547	8	22	in	in	ADP
cuesj-547	8	23	the	the	DET
cuesj-547	8	24	next	next	ADJ
cuesj-547	8	25	two	two	NUM
cuesj-547	8	26	years	year	NOUN
cuesj-547	8	27	.	.	PUNCT
cuesj-547	9	1	statgraphics	statgraphics	PROPN
cuesj-547	9	2	version	version	PROPN
cuesj-547	9	3	 	 	SPACE
cuesj-547	9	4	15	15	NUM
cuesj-547	9	5	was	be	AUX
cuesj-547	9	6	the	the	DET
cuesj-547	9	7	statistical	statistical	ADJ
cuesj-547	9	8	software	software	NOUN
cuesj-547	9	9	package	package	NOUN
cuesj-547	9	10	utilized	utilize	VERB
cuesj-547	9	11	to	to	PART
cuesj-547	9	12	complete	complete	VERB
cuesj-547	9	13	this	this	DET
cuesj-547	9	14	project	project	NOUN
cuesj-547	9	15	.	.	PUNCT
cuesj-547	10	1	keywords	keyword	NOUN
cuesj-547	10	2	:	:	PUNCT
cuesj-547	10	3	exchange	exchange	NOUN
cuesj-547	10	4	rate	rate	NOUN
cuesj-547	10	5	forecasting	forecasting	NOUN
cuesj-547	10	6	,	,	PUNCT
cuesj-547	10	7	us	us	PROPN
cuesj-547	10	8	dollar	dollar	NOUN
cuesj-547	10	9	/	/	SYM
cuesj-547	10	10	iq	iq	PROPN
cuesj-547	10	11	dinar	dinar	PROPN
cuesj-547	10	12	,	,	PUNCT
cuesj-547	10	13	time	time	NOUN
cuesj-547	10	14	-	-	PUNCT
cuesj-547	10	15	series	series	NOUN
cuesj-547	10	16	analysis	analysis	NOUN
cuesj-547	10	17	,	,	PUNCT
cuesj-547	10	18	autoregressive	autoregressive	ADJ
cuesj-547	10	19	integrated	integrated	ADJ
cuesj-547	10	20	moving	move	VERB
cuesj-547	10	21	average	average	ADJ
cuesj-547	10	22	model	model	NOUN
cuesj-547	10	23	introduction	introduction	NOUN
cuesj-547	10	24	time	time	NOUN
cuesj-547	10	25	series	series	PROPN
cuesj-547	10	26	analysis	analysis	NOUN
cuesj-547	10	27	is	be	AUX
cuesj-547	10	28	used	use	VERB
cuesj-547	10	29	in	in	ADP
cuesj-547	10	30	a	a	DET
cuesj-547	10	31	wide	wide	ADJ
cuesj-547	10	32	variety	variety	NOUN
cuesj-547	10	33	of	of	ADP
cuesj-547	10	34	fields	field	NOUN
cuesj-547	10	35	.	.	PUNCT
cuesj-547	11	1	in	in	ADP
cuesj-547	11	2	economics	economic	NOUN
cuesj-547	11	3	,	,	PUNCT
cuesj-547	11	4	time	time	NOUN
cuesj-547	11	5	series	series	PROPN
cuesj-547	11	6	are	be	AUX
cuesj-547	11	7	used	use	VERB
cuesj-547	11	8	to	to	PART
cuesj-547	11	9	represent	represent	VERB
cuesj-547	11	10	the	the	DET
cuesj-547	11	11	economy	economy	NOUN
cuesj-547	11	12	’s	’s	PART
cuesj-547	11	13	recorded	record	VERB
cuesj-547	11	14	history	history	NOUN
cuesj-547	11	15	.	.	PUNCT
cuesj-547	12	1	the	the	DET
cuesj-547	12	2	consumer	consumer	NOUN
cuesj-547	12	3	price	price	NOUN
cuesj-547	12	4	index	index	NOUN
cuesj-547	12	5	,	,	PUNCT
cuesj-547	12	6	gross	gross	ADJ
cuesj-547	12	7	national	national	ADJ
cuesj-547	12	8	product	product	NOUN
cuesj-547	12	9	,	,	PUNCT
cuesj-547	12	10	and	and	CCONJ
cuesj-547	12	11	unemployment	unemployment	NOUN
cuesj-547	12	12	,	,	PUNCT
cuesj-547	12	13	as	as	ADV
cuesj-547	12	14	well	well	ADV
cuesj-547	12	15	as	as	ADP
cuesj-547	12	16	the	the	DET
cuesj-547	12	17	population	population	NOUN
cuesj-547	12	18	,	,	PUNCT
cuesj-547	12	19	products	product	NOUN
cuesj-547	12	20	,	,	PUNCT
cuesj-547	12	21	and	and	CCONJ
cuesj-547	12	22	output	output	NOUN
cuesj-547	12	23	,	,	PUNCT
cuesj-547	12	24	are	be	AUX
cuesj-547	12	25	all	all	PRON
cuesj-547	12	26	measured	measure	VERB
cuesj-547	12	27	in	in	ADP
cuesj-547	12	28	the	the	DET
cuesj-547	12	29	same	same	ADJ
cuesj-547	12	30	time	time	NOUN
cuesj-547	12	31	series	series	NOUN
cuesj-547	12	32	.	.	PUNCT
cuesj-547	13	1	the	the	DET
cuesj-547	13	2	statistical	statistical	ADJ
cuesj-547	13	3	theory	theory	NOUN
cuesj-547	13	4	of	of	ADP
cuesj-547	13	5	time	time	NOUN
cuesj-547	13	6	series	series	PROPN
cuesj-547	13	7	has	have	AUX
cuesj-547	13	8	sparked	spark	VERB
cuesj-547	13	9	a	a	DET
cuesj-547	13	10	lot	lot	NOUN
cuesj-547	13	11	of	of	ADP
cuesj-547	13	12	interest	interest	NOUN
cuesj-547	13	13	in	in	ADP
cuesj-547	13	14	recent	recent	ADJ
cuesj-547	13	15	years	year	NOUN
cuesj-547	13	16	.	.	PUNCT
cuesj-547	14	1	it	it	PRON
cuesj-547	14	2	is	be	AUX
cuesj-547	14	3	generally	generally	ADV
cuesj-547	14	4	believed	believe	VERB
cuesj-547	14	5	that	that	SCONJ
cuesj-547	14	6	the	the	DET
cuesj-547	14	7	degree	degree	NOUN
cuesj-547	14	8	of	of	ADP
cuesj-547	14	9	financial	financial	ADJ
cuesj-547	14	10	transactions	transaction	NOUN
cuesj-547	14	11	in	in	ADP
cuesj-547	14	12	and	and	CCONJ
cuesj-547	14	13	out	out	ADP
cuesj-547	14	14	of	of	ADP
cuesj-547	14	15	a	a	DET
cuesj-547	14	16	country	country	NOUN
cuesj-547	14	17	depends	depend	VERB
cuesj-547	14	18	on	on	ADP
cuesj-547	14	19	several	several	ADJ
cuesj-547	14	20	factors	factor	NOUN
cuesj-547	14	21	prevailing	prevail	VERB
cuesj-547	14	22	in	in	ADP
cuesj-547	14	23	that	that	DET
cuesj-547	14	24	country	country	NOUN
cuesj-547	14	25	.	.	PUNCT
cuesj-547	15	1	since	since	SCONJ
cuesj-547	15	2	the	the	DET
cuesj-547	15	3	advent	advent	NOUN
cuesj-547	15	4	of	of	ADP
cuesj-547	15	5	money	money	NOUN
cuesj-547	15	6	,	,	PUNCT
cuesj-547	15	7	the	the	DET
cuesj-547	15	8	world	world	NOUN
cuesj-547	15	9	has	have	AUX
cuesj-547	15	10	always	always	ADV
cuesj-547	15	11	experienced	experience	VERB
cuesj-547	15	12	the	the	DET
cuesj-547	15	13	movement	movement	NOUN
cuesj-547	15	14	of	of	ADP
cuesj-547	15	15	money	money	NOUN
cuesj-547	15	16	from	from	ADP
cuesj-547	15	17	one	one	NUM
cuesj-547	15	18	country	country	NOUN
cuesj-547	15	19	to	to	ADP
cuesj-547	15	20	another	another	PRON
cuesj-547	15	21	due	due	ADJ
cuesj-547	15	22	to	to	ADP
cuesj-547	15	23	economic	economic	ADJ
cuesj-547	15	24	,	,	PUNCT
cuesj-547	15	25	cultural	cultural	ADJ
cuesj-547	15	26	,	,	PUNCT
cuesj-547	15	27	social	social	ADJ
cuesj-547	15	28	,	,	PUNCT
cuesj-547	15	29	political	political	ADJ
cuesj-547	15	30	,	,	PUNCT
cuesj-547	15	31	and	and	CCONJ
cuesj-547	15	32	other	other	ADJ
cuesj-547	15	33	reasons	reason	NOUN
cuesj-547	15	34	.	.	PUNCT
cuesj-547	16	1	the	the	DET
cuesj-547	16	2	central	central	ADJ
cuesj-547	16	3	bank	bank	NOUN
cuesj-547	16	4	in	in	ADP
cuesj-547	16	5	every	every	DET
cuesj-547	16	6	country	country	NOUN
cuesj-547	16	7	usually	usually	ADV
cuesj-547	16	8	keeps	keep	VERB
cuesj-547	16	9	a	a	DET
cuesj-547	16	10	record	record	NOUN
cuesj-547	16	11	of	of	ADP
cuesj-547	16	12	such	such	ADJ
cuesj-547	16	13	money	money	NOUN
cuesj-547	16	14	transactions	transaction	NOUN
cuesj-547	16	15	through	through	ADP
cuesj-547	16	16	various	various	ADJ
cuesj-547	16	17	financial	financial	ADJ
cuesj-547	16	18	intermediaries	intermediary	NOUN
cuesj-547	16	19	.	.	PUNCT
cuesj-547	17	1	every	every	DET
cuesj-547	17	2	country	country	NOUN
cuesj-547	17	3	has	have	VERB
cuesj-547	17	4	its	its	PRON
cuesj-547	17	5	own	own	ADJ
cuesj-547	17	6	money	money	NOUN
cuesj-547	17	7	,	,	PUNCT
cuesj-547	17	8	which	which	PRON
cuesj-547	17	9	can	can	AUX
cuesj-547	17	10	only	only	ADV
cuesj-547	17	11	be	be	AUX
cuesj-547	17	12	accepted	accept	VERB
cuesj-547	17	13	for	for	ADP
cuesj-547	17	14	use	use	NOUN
cuesj-547	17	15	within	within	ADP
cuesj-547	17	16	its	its	PRON
cuesj-547	17	17	territory	territory	NOUN
cuesj-547	17	18	.	.	PUNCT
cuesj-547	18	1	hence	hence	ADV
cuesj-547	18	2	,	,	PUNCT
cuesj-547	18	3	the	the	DET
cuesj-547	18	4	establishment	establishment	NOUN
cuesj-547	18	5	of	of	ADP
cuesj-547	18	6	foreign	foreign	ADJ
cuesj-547	18	7	money	money	NOUN
cuesj-547	18	8	became	become	VERB
cuesj-547	18	9	necessary	necessary	ADJ
cuesj-547	18	10	.	.	PUNCT
cuesj-547	19	1	foreign	foreign	ADJ
cuesj-547	19	2	money	money	NOUN
cuesj-547	19	3	is	be	AUX
cuesj-547	19	4	the	the	DET
cuesj-547	19	5	money	money	NOUN
cuesj-547	19	6	of	of	ADP
cuesj-547	19	7	other	other	ADJ
cuesj-547	19	8	countries	country	NOUN
cuesj-547	19	9	of	of	ADP
cuesj-547	19	10	the	the	DET
cuesj-547	19	11	world	world	NOUN
cuesj-547	19	12	which	which	PRON
cuesj-547	19	13	serves	serve	VERB
cuesj-547	19	14	as	as	ADP
cuesj-547	19	15	money	money	NOUN
cuesj-547	19	16	in	in	ADP
cuesj-547	19	17	the	the	DET
cuesj-547	19	18	foreign	foreign	ADJ
cuesj-547	19	19	exchange	exchange	NOUN
cuesj-547	19	20	market	market	NOUN
cuesj-547	19	21	.	.	PUNCT
cuesj-547	20	1	the	the	DET
cuesj-547	20	2	researcher	researcher	NOUN
cuesj-547	20	3	’s	’s	PART
cuesj-547	20	4	study	study	NOUN
cuesj-547	20	5	time	time	NOUN
cuesj-547	20	6	-	-	PUNCT
cuesj-547	20	7	series	series	NOUN
cuesj-547	20	8	data	datum	NOUN
cuesj-547	20	9	to	to	PART
cuesj-547	20	10	attempt	attempt	VERB
cuesj-547	20	11	to	to	PART
cuesj-547	20	12	establish	establish	VERB
cuesj-547	20	13	a	a	DET
cuesj-547	20	14	strong	strong	ADJ
cuesj-547	20	15	statistical	statistical	ADJ
cuesj-547	20	16	way	way	NOUN
cuesj-547	20	17	for	for	ADP
cuesj-547	20	18	forecasting	forecast	VERB
cuesj-547	20	19	a	a	DET
cuesj-547	20	20	future	future	ADJ
cuesj-547	20	21	rate	rate	NOUN
cuesj-547	20	22	of	of	ADP
cuesj-547	20	23	exchange	exchange	NOUN
cuesj-547	20	24	of	of	ADP
cuesj-547	20	25	the	the	DET
cuesj-547	20	26	us	us	PROPN
cuesj-547	20	27	dollar	dollar	NOUN
cuesj-547	20	28	over	over	ADP
cuesj-547	20	29	the	the	DET
cuesj-547	20	30	iraqi	iraqi	ADJ
cuesj-547	20	31	dinar	dinar	PROPN
cuesj-547	20	32	basis	basis	NOUN
cuesj-547	20	33	on	on	ADP
cuesj-547	20	34	previous	previous	ADJ
cuesj-547	20	35	data	datum	NOUN
cuesj-547	20	36	here	here	ADV
cuesj-547	20	37	on	on	ADP
cuesj-547	20	38	the	the	DET
cuesj-547	20	39	exchange	exchange	NOUN
cuesj-547	20	40	rate	rate	NOUN
cuesj-547	20	41	of	of	ADP
cuesj-547	20	42	the	the	DET
cuesj-547	20	43	us	us	PROPN
cuesj-547	20	44	dollar	dollar	NOUN
cuesj-547	20	45	and	and	CCONJ
cuesj-547	20	46	the	the	DET
cuesj-547	20	47	iraq	iraq	PROPN
cuesj-547	20	48	dinar	dinar	PROPN
cuesj-547	20	49	.	.	PUNCT
cuesj-547	21	1	using	use	VERB
cuesj-547	21	2	the	the	DET
cuesj-547	21	3	historic	historic	ADJ
cuesj-547	21	4	date	date	NOUN
cuesj-547	21	5	of	of	ADP
cuesj-547	21	6	the	the	DET
cuesj-547	21	7	exchange	exchange	NOUN
cuesj-547	21	8	rate	rate	NOUN
cuesj-547	21	9	of	of	ADP
cuesj-547	21	10	the	the	DET
cuesj-547	21	11	local	local	ADJ
cuesj-547	21	12	currency	currency	NOUN
cuesj-547	21	13	against	against	ADP
cuesj-547	21	14	the	the	DET
cuesj-547	21	15	foreign	foreign	ADJ
cuesj-547	21	16	currency	currency	NOUN
cuesj-547	21	17	,	,	PUNCT
cuesj-547	21	18	this	this	DET
cuesj-547	21	19	statistical	statistical	ADJ
cuesj-547	21	20	tool	tool	NOUN
cuesj-547	21	21	can	can	AUX
cuesj-547	21	22	be	be	AUX
cuesj-547	21	23	used	use	VERB
cuesj-547	21	24	to	to	PART
cuesj-547	21	25	forecast	forecast	VERB
cuesj-547	21	26	the	the	DET
cuesj-547	21	27	rate	rate	NOUN
cuesj-547	21	28	of	of	ADP
cuesj-547	21	29	exchange	exchange	NOUN
cuesj-547	21	30	of	of	ADP
cuesj-547	21	31	any	any	DET
cuesj-547	21	32	foreign	foreign	ADJ
cuesj-547	21	33	currency	currency	NOUN
cuesj-547	21	34	.	.	PUNCT
cuesj-547	22	1	the	the	DET
cuesj-547	22	2	most	most	ADV
cuesj-547	22	3	common	common	ADJ
cuesj-547	22	4	technique	technique	NOUN
cuesj-547	22	5	in	in	ADP
cuesj-547	22	6	time	time	NOUN
cuesj-547	22	7	series	series	PROPN
cuesj-547	22	8	is	be	AUX
cuesj-547	22	9	box	box	NOUN
cuesj-547	22	10	-	-	PUNCT
cuesj-547	22	11	jenkins	jenkin	NOUN
cuesj-547	22	12	modeling	modeling	NOUN
cuesj-547	22	13	.	.	PUNCT
cuesj-547	23	1	the	the	DET
cuesj-547	23	2	other	other	ADJ
cuesj-547	23	3	name	name	NOUN
cuesj-547	23	4	of	of	ADP
cuesj-547	23	5	it	it	PRON
cuesj-547	23	6	is	be	AUX
cuesj-547	23	7	autoregressive	autoregressive	ADJ
cuesj-547	23	8	integrated	integrated	ADJ
cuesj-547	23	9	moving	move	VERB
cuesj-547	23	10	average	average	ADJ
cuesj-547	23	11	(	(	PUNCT
cuesj-547	23	12	arima	arima	NOUN
cuesj-547	23	13	)	)	PUNCT
cuesj-547	23	14	modeling	modeling	NOUN
cuesj-547	23	15	.	.	PUNCT
cuesj-547	24	1	recent	recent	ADJ
cuesj-547	24	2	work	work	NOUN
cuesj-547	24	3	on	on	ADP
cuesj-547	24	4	arima	arima	NOUN
cuesj-547	24	5	forecasting	forecasting	NOUN
cuesj-547	24	6	has	have	AUX
cuesj-547	24	7	revealed	reveal	VERB
cuesj-547	24	8	an	an	DET
cuesj-547	24	9	apparent	apparent	ADJ
cuesj-547	24	10	accuracy	accuracy	NOUN
cuesj-547	24	11	for	for	ADP
cuesj-547	24	12	forecasting	forecasting	NOUN
cuesj-547	24	13	.	.	PUNCT
cuesj-547	25	1	arima	arima	NOUN
cuesj-547	25	2	models	model	NOUN
cuesj-547	25	3	have	have	AUX
cuesj-547	25	4	been	be	AUX
cuesj-547	25	5	applied	apply	VERB
cuesj-547	25	6	for	for	ADP
cuesj-547	25	7	us	us	PROPN
cuesj-547	25	8	dollar	dollar	NOUN
cuesj-547	25	9	/	/	SYM
cuesj-547	25	10	iq	iq	PROPN
cuesj-547	25	11	dinar	dinar	PROPN
cuesj-547	25	12	currency	currency	NOUN
cuesj-547	25	13	exchange	exchange	NOUN
cuesj-547	25	14	rates	rate	NOUN
cuesj-547	25	15	time	time	NOUN
cuesj-547	25	16	series	series	PROPN
cuesj-547	25	17	forecasting	forecasting	NOUN
cuesj-547	25	18	.	.	PUNCT
cuesj-547	26	1	in	in	ADP
cuesj-547	26	2	this	this	DET
cuesj-547	26	3	work	work	NOUN
cuesj-547	26	4	,	,	PUNCT
cuesj-547	26	5	the	the	DET
cuesj-547	26	6	original	original	ADJ
cuesj-547	26	7	dataset	dataset	NOUN
cuesj-547	26	8	has	have	VERB
cuesj-547	26	9	132	132	NUM
cuesj-547	26	10	observations	observation	NOUN
cuesj-547	26	11	.	.	PUNCT
cuesj-547	27	1	arima	arima	PROPN
cuesj-547	27	2	modeling	modeling	NOUN
cuesj-547	27	3	was	be	AUX
cuesj-547	27	4	used	use	VERB
cuesj-547	27	5	to	to	PART
cuesj-547	27	6	forecast	forecast	VERB
cuesj-547	27	7	two	two	NUM
cuesj-547	27	8	years	year	NOUN
cuesj-547	27	9	ahead	ahead	ADV
cuesj-547	27	10	of	of	ADP
cuesj-547	27	11	data	datum	NOUN
cuesj-547	27	12	.	.	PUNCT
cuesj-547	28	1	the	the	DET
cuesj-547	28	2	rest	rest	NOUN
cuesj-547	28	3	of	of	ADP
cuesj-547	28	4	the	the	DET
cuesj-547	28	5	paper	paper	NOUN
cuesj-547	28	6	is	be	AUX
cuesj-547	28	7	structured	structure	VERB
cuesj-547	28	8	as	as	ADP
cuesj-547	28	9	the	the	DET
cuesj-547	28	10	following	following	NOUN
cuesj-547	28	11	:	:	PUNCT
cuesj-547	28	12	section	section	NOUN
cuesj-547	28	13	2	2	NUM
cuesj-547	28	14	describes	describe	VERB
cuesj-547	28	15	the	the	DET
cuesj-547	28	16	methodology	methodology	NOUN
cuesj-547	28	17	of	of	ADP
cuesj-547	28	18	box	box	PROPN
cuesj-547	28	19	jenkins	jenkins	PROPN
cuesj-547	28	20	and	and	CCONJ
cuesj-547	28	21	provides	provide	VERB
cuesj-547	28	22	a	a	DET
cuesj-547	28	23	brief	brief	ADJ
cuesj-547	28	24	introduction	introduction	NOUN
cuesj-547	28	25	to	to	ADP
cuesj-547	28	26	the	the	DET
cuesj-547	28	27	theory	theory	NOUN
cuesj-547	28	28	of	of	ADP
cuesj-547	28	29	arima	arima	PROPN
cuesj-547	28	30	model	model	NOUN
cuesj-547	28	31	building	building	PROPN
cuesj-547	28	32	.	.	PUNCT
cuesj-547	29	1	section	section	NOUN
cuesj-547	29	2	3	3	NUM
cuesj-547	29	3	introduces	introduce	VERB
cuesj-547	29	4	the	the	DET
cuesj-547	29	5	data	datum	NOUN
cuesj-547	29	6	used	use	VERB
cuesj-547	29	7	in	in	ADP
cuesj-547	29	8	this	this	DET
cuesj-547	29	9	study	study	NOUN
cuesj-547	29	10	and	and	CCONJ
cuesj-547	29	11	follows	follow	VERB
cuesj-547	29	12	the	the	DET
cuesj-547	29	13	arima	arima	NOUN
cuesj-547	29	14	procedure	procedure	NOUN
cuesj-547	29	15	for	for	ADP
cuesj-547	29	16	building	build	VERB
cuesj-547	29	17	an	an	DET
cuesj-547	29	18	adequate	adequate	ADJ
cuesj-547	29	19	model	model	NOUN
cuesj-547	29	20	for	for	ADP
cuesj-547	29	21	the	the	DET
cuesj-547	29	22	forecasting	forecasting	NOUN
cuesj-547	29	23	exercise	exercise	NOUN
cuesj-547	29	24	and	and	CCONJ
cuesj-547	29	25	discusses	discuss	VERB
cuesj-547	29	26	the	the	DET
cuesj-547	29	27	results	result	NOUN
cuesj-547	29	28	.	.	PUNCT
cuesj-547	30	1	finally	finally	ADV
cuesj-547	30	2	,	,	PUNCT
cuesj-547	30	3	section	section	NOUN
cuesj-547	30	4	4	4	NUM
cuesj-547	30	5	is	be	AUX
cuesj-547	30	6	devoted	devote	VERB
cuesj-547	30	7	to	to	ADP
cuesj-547	30	8	conclusions.[1	conclusions.[1	NOUN
cuesj-547	30	9	-	-	SYM
cuesj-547	30	10	5	5	NUM
cuesj-547	30	11	]	]	PUNCT
cuesj-547	30	12	corresponding	corresponding	ADJ
cuesj-547	30	13	author	author	NOUN
cuesj-547	30	14	:	:	PUNCT
cuesj-547	30	15	parzhin	parzhin	PROPN
cuesj-547	30	16	a.	a.	PROPN
cuesj-547	30	17	mohammed	mohammed	PROPN
cuesj-547	30	18	,	,	PUNCT
cuesj-547	30	19	department	department	PROPN
cuesj-547	30	20	of	of	ADP
cuesj-547	30	21	statistics	statistic	NOUN
cuesj-547	30	22	,	,	PUNCT
cuesj-547	30	23	college	college	NOUN
cuesj-547	30	24	of	of	ADP
cuesj-547	30	25	administration	administration	NOUN
cuesj-547	30	26	and	and	CCONJ
cuesj-547	30	27	economics	economic	NOUN
cuesj-547	30	28	,	,	PUNCT
cuesj-547	30	29	salahaddin	salahaddin	VERB
cuesj-547	30	30	university	university	NOUN
cuesj-547	30	31	erbil	erbil	PROPN
cuesj-547	30	32	,	,	PUNCT
cuesj-547	30	33	kurdistan	kurdistan	PROPN
cuesj-547	30	34	region	region	PROPN
cuesj-547	30	35	f.r	f.r	PROPN
cuesj-547	30	36	.	.	PROPN
cuesj-547	30	37	iraq	iraq	PROPN
cuesj-547	30	38	,	,	PUNCT
cuesj-547	30	39	.	.	PUNCT
cuesj-547	31	1	e	e	X
cuesj-547	31	2	-	-	NOUN
cuesj-547	31	3	mail	mail	NOUN
cuesj-547	31	4	:	:	PUNCT
cuesj-547	31	5	parzhin.mohammrd@su.edu.krd	parzhin.mohammrd@su.edu.krd	NOUN
cuesj-547	31	6	received	receive	VERB
cuesj-547	31	7	:	:	PUNCT
cuesj-547	31	8	november	november	PROPN
cuesj-547	31	9	29	29	NUM
cuesj-547	31	10	,	,	PUNCT
cuesj-547	31	11	2021	2021	NUM
cuesj-547	31	12	accepted	accept	VERB
cuesj-547	31	13	:	:	PUNCT
cuesj-547	31	14	january	january	PROPN
cuesj-547	31	15	02	02	NUM
cuesj-547	31	16	,	,	PUNCT
cuesj-547	31	17	2022	2022	NUM
cuesj-547	31	18	published	publish	VERB
cuesj-547	31	19	:	:	PUNCT
cuesj-547	31	20	february	february	NOUN
cuesj-547	31	21	10	10	NUM
cuesj-547	31	22	,	,	PUNCT
cuesj-547	31	23	2022	2022	NUM
cuesj-547	31	24	doi	doi	NOUN
cuesj-547	31	25	:	:	PUNCT
cuesj-547	31	26	10.24086	10.24086	NUM
cuesj-547	31	27	/	/	SYM
cuesj-547	31	28	cuesj.v6n1y2022.pp12	cuesj.v6n1y2022.pp12	NOUN
cuesj-547	31	29	-	-	SYM
cuesj-547	31	30	19	19	NUM
cuesj-547	31	31	copyright	copyright	NOUN
cuesj-547	31	32	©	©	ADP
cuesj-547	31	33	2022	2022	NUM
cuesj-547	31	34	parzhin	parzhin	NOUN
cuesj-547	31	35	a.	a.	PROPN
cuesj-547	31	36	mohammed	mohammed	PROPN
cuesj-547	31	37	,	,	PUNCT
cuesj-547	31	38	sami	sami	PROPN
cuesj-547	31	39	a.	a.	PROPN
cuesj-547	31	40	obed	obe	VERB
cuesj-547	31	41	,	,	PUNCT
cuesj-547	31	42	israa	israa	ADJ
cuesj-547	31	43	m.	m.	PROPN
cuesj-547	31	44	ali	ali	PROPN
cuesj-547	31	45	,	,	PUNCT
cuesj-547	31	46	dler	dler	NOUN
cuesj-547	31	47	h.	h.	PROPN
cuesj-547	31	48	kadir	kadir	PROPN
cuesj-547	31	49	.	.	PUNCT
cuesj-547	32	1	this	this	PRON
cuesj-547	32	2	is	be	AUX
cuesj-547	32	3	an	an	DET
cuesj-547	32	4	open	open	ADJ
cuesj-547	32	5	-	-	PUNCT
cuesj-547	32	6	access	access	NOUN
cuesj-547	32	7	article	article	NOUN
cuesj-547	32	8	distributed	distribute	VERB
cuesj-547	32	9	under	under	ADP
cuesj-547	32	10	the	the	DET
cuesj-547	32	11	creative	creative	ADJ
cuesj-547	32	12	commons	common	NOUN
cuesj-547	32	13	attribution	attribution	NOUN
cuesj-547	32	14	license	license	NOUN
cuesj-547	32	15	(	(	PUNCT
cuesj-547	32	16	cc	cc	NOUN
cuesj-547	32	17	by	by	ADP
cuesj-547	32	18	-	-	PUNCT
cuesj-547	32	19	nc	nc	VERB
cuesj-547	32	20	-	-	PROPN
cuesj-547	32	21	nd	nd	PRON
cuesj-547	32	22	4.0	4.0	NUM
cuesj-547	32	23	)	)	PUNCT
cuesj-547	32	24	.	.	PUNCT
cuesj-547	33	1	cihan	cihan	VERB
cuesj-547	33	2	university	university	NOUN
cuesj-547	33	3	-	-	PUNCT
cuesj-547	33	4	erbil	erbil	PROPN
cuesj-547	33	5	scientific	scientific	ADJ
cuesj-547	33	6	journal	journal	NOUN
cuesj-547	33	7	(	(	PUNCT
cuesj-547	33	8	cuesj	cuesj	PROPN
cuesj-547	33	9	)	)	PUNCT
cuesj-547	33	10	mohammed	mohammed	PROPN
cuesj-547	33	11	,	,	PUNCT
cuesj-547	33	12	et	et	PROPN
cuesj-547	33	13	al	al	PROPN
cuesj-547	33	14	.	.	PUNCT
cuesj-547	33	15	:	:	PUNCT
cuesj-547	34	1	time	time	NOUN
cuesj-547	34	2	series	series	PROPN
cuesj-547	34	3	forecasting	forecasting	NOUN
cuesj-547	34	4	using	use	VERB
cuesj-547	34	5	arima	arima	PROPN
cuesj-547	34	6	model	model	NOUN
cuesj-547	34	7	13	13	NUM
cuesj-547	34	8	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-547	34	9	cuesj	cuesj	ADJ
cuesj-547	34	10	2022	2022	NUM
cuesj-547	34	11	,	,	PUNCT
cuesj-547	34	12	6	6	NUM
cuesj-547	34	13	(	(	PUNCT
cuesj-547	34	14	1	1	NUM
cuesj-547	34	15	):	):	PUNCT
cuesj-547	34	16	12	12	NUM
cuesj-547	34	17	-	-	SYM
cuesj-547	34	18	19	19	NUM
cuesj-547	34	19	methodology	methodology	NOUN
cuesj-547	34	20	this	this	DET
cuesj-547	34	21	section	section	NOUN
cuesj-547	34	22	introduces	introduce	VERB
cuesj-547	34	23	some	some	DET
cuesj-547	34	24	basic	basic	ADJ
cuesj-547	34	25	definitions	definition	NOUN
cuesj-547	34	26	and	and	CCONJ
cuesj-547	34	27	concepts	concept	NOUN
cuesj-547	34	28	.	.	PUNCT
cuesj-547	35	1	time	time	PROPN
cuesj-547	35	2	series	series	PROPN
cuesj-547	35	3	a	a	DET
cuesj-547	35	4	time	time	NOUN
cuesj-547	35	5	series	series	NOUN
cuesj-547	35	6	is	be	AUX
cuesj-547	35	7	a	a	DET
cuesj-547	35	8	collection	collection	NOUN
cuesj-547	35	9	of	of	ADP
cuesj-547	35	10	correlated	correlate	VERB
cuesj-547	35	11	observations	observation	NOUN
cuesj-547	35	12	made	make	VERB
cuesj-547	35	13	in	in	ADP
cuesj-547	35	14	a	a	DET
cuesj-547	35	15	specific	specific	ADJ
cuesj-547	35	16	order	order	NOUN
cuesj-547	35	17	across	across	ADP
cuesj-547	35	18	time	time	NOUN
cuesj-547	35	19	.	.	PUNCT
cuesj-547	36	1	a	a	DET
cuesj-547	36	2	discrete	discrete	ADJ
cuesj-547	36	3	-	-	PUNCT
cuesj-547	36	4	time	time	NOUN
cuesj-547	36	5	series	series	NOUN
cuesj-547	36	6	is	be	AUX
cuesj-547	36	7	one	one	NUM
cuesj-547	36	8	in	in	ADP
cuesj-547	36	9	which	which	PRON
cuesj-547	36	10	the	the	DET
cuesj-547	36	11	set	set	NOUN
cuesj-547	36	12	t0	t0	PROPN
cuesj-547	36	13	of	of	ADP
cuesj-547	36	14	times	time	NOUN
cuesj-547	36	15	at	at	ADP
cuesj-547	36	16	which	which	PRON
cuesj-547	36	17	observations	observation	NOUN
cuesj-547	36	18	are	be	AUX
cuesj-547	36	19	taken	take	VERB
cuesj-547	36	20	is	be	AUX
cuesj-547	36	21	discrete	discrete	ADJ
cuesj-547	36	22	,	,	PUNCT
cuesj-547	36	23	such	such	ADJ
cuesj-547	36	24	as	as	ADP
cuesj-547	36	25	when	when	SCONJ
cuesj-547	36	26	they	they	PRON
cuesj-547	36	27	are	be	AUX
cuesj-547	36	28	conducted	conduct	VERB
cuesj-547	36	29	at	at	ADP
cuesj-547	36	30	fixed	fix	VERB
cuesj-547	36	31	intervals	interval	NOUN
cuesj-547	36	32	.	.	PUNCT
cuesj-547	37	1	when	when	SCONJ
cuesj-547	37	2	observations	observation	NOUN
cuesj-547	37	3	are	be	AUX
cuesj-547	37	4	recorded	record	VERB
cuesj-547	37	5	continuously	continuously	ADV
cuesj-547	37	6	across	across	ADP
cuesj-547	37	7	a	a	DET
cuesj-547	37	8	time	time	NOUN
cuesj-547	37	9	interval	interval	NOUN
cuesj-547	37	10	,	,	PUNCT
cuesj-547	37	11	such	such	ADJ
cuesj-547	37	12	as	as	ADP
cuesj-547	37	13	when	when	SCONJ
cuesj-547	37	14	t0	t0	X
cuesj-547	37	15	=	=	PUNCT
cuesj-547	38	1	[	[	X
cuesj-547	38	2	0	0	NUM
cuesj-547	38	3	,	,	PUNCT
cuesj-547	38	4	1	1	NUM
cuesj-547	38	5	]	]	PUNCT
cuesj-547	38	6	,	,	PUNCT
cuesj-547	38	7	a	a	DET
cuesj-547	38	8	continuous	continuous	ADJ
cuesj-547	38	9	-	-	PUNCT
cuesj-547	38	10	time	time	NOUN
cuesj-547	38	11	series	series	NOUN
cuesj-547	38	12	is	be	AUX
cuesj-547	38	13	obtained	obtain	VERB
cuesj-547	38	14	.	.	PUNCT
cuesj-547	39	1	if	if	SCONJ
cuesj-547	39	2	we	we	PRON
cuesj-547	39	3	want	want	VERB
cuesj-547	39	4	to	to	PART
cuesj-547	39	5	emphasize	emphasize	VERB
cuesj-547	39	6	that	that	SCONJ
cuesj-547	39	7	observations	observation	NOUN
cuesj-547	39	8	are	be	AUX
cuesj-547	39	9	recorded	record	VERB
cuesj-547	39	10	continuously	continuously	ADV
cuesj-547	39	11	,	,	PUNCT
cuesj-547	39	12	we	we	PRON
cuesj-547	39	13	’ll	’ll	AUX
cuesj-547	39	14	use	use	VERB
cuesj-547	39	15	the	the	DET
cuesj-547	39	16	notation	notation	NOUN
cuesj-547	39	17	(	(	PUNCT
cuesj-547	39	18	t	t	PROPN
cuesj-547	39	19	)	)	PUNCT
cuesj-547	39	20	rather	rather	ADV
cuesj-547	39	21	than	than	ADP
cuesj-547	39	22	x.[6,7	x.[6,7	PROPN
cuesj-547	39	23	]	]	PUNCT
cuesj-547	39	24	stationary	stationary	ADJ
cuesj-547	39	25	time	time	NOUN
cuesj-547	39	26	series	series	PROPN
cuesj-547	39	27	the	the	DET
cuesj-547	39	28	first	first	ADJ
cuesj-547	39	29	and	and	CCONJ
cuesj-547	39	30	second	second	ADJ
cuesj-547	39	31	moments	moment	NOUN
cuesj-547	39	32	of	of	ADP
cuesj-547	39	33	a	a	DET
cuesj-547	39	34	stochastic	stochastic	ADJ
cuesj-547	39	35	process	process	NOUN
cuesj-547	39	36	xt	xt	PROPN
cuesj-547	39	37	are	be	AUX
cuesj-547	39	38	deemed	deem	VERB
cuesj-547	39	39	stationary	stationary	ADJ
cuesj-547	39	40	although	although	SCONJ
cuesj-547	39	41	they	they	PRON
cuesj-547	39	42	are	be	AUX
cuesj-547	39	43	time	time	NOUN
cuesj-547	39	44	-	-	PUNCT
cuesj-547	39	45	invariant	invariant	ADJ
cuesj-547	39	46	.	.	PUNCT
cuesj-547	40	1	to	to	PART
cuesj-547	40	2	put	put	VERB
cuesj-547	40	3	it	it	PRON
cuesj-547	40	4	another	another	DET
cuesj-547	40	5	way	way	NOUN
cuesj-547	40	6	,	,	PUNCT
cuesj-547	40	7	if	if	SCONJ
cuesj-547	40	8	the	the	DET
cuesj-547	40	9	first	first	ADJ
cuesj-547	40	10	criterion	criterion	NOUN
cuesj-547	40	11	is	be	AUX
cuesj-547	40	12	met	meet	VERB
cuesj-547	40	13	,	,	PUNCT
cuesj-547	40	14	xt	xt	PROPN
cuesj-547	40	15	is	be	AUX
cuesj-547	40	16	stationary	stationary	ADJ
cuesj-547	40	17	,	,	PUNCT
cuesj-547	40	18	meaning	mean	VERB
cuesj-547	40	19	that	that	SCONJ
cuesj-547	40	20	all	all	DET
cuesj-547	40	21	members	member	NOUN
cuesj-547	40	22	of	of	ADP
cuesj-547	40	23	a	a	DET
cuesj-547	40	24	stationary	stationary	ADJ
cuesj-547	40	25	stochastic	stochastic	NOUN
cuesj-547	40	26	process	process	NOUN
cuesj-547	40	27	have	have	VERB
cuesj-547	40	28	the	the	DET
cuesj-547	40	29	same	same	ADJ
cuesj-547	40	30	constant	constant	ADJ
cuesj-547	40	31	mean	mean	NOUN
cuesj-547	40	32	.	.	PUNCT
cuesj-547	41	1	for	for	ADP
cuesj-547	41	2	example	example	NOUN
cuesj-547	41	3	,	,	PUNCT
cuesj-547	41	4	a	a	DET
cuesj-547	41	5	time	time	NOUN
cuesj-547	41	6	series	series	NOUN
cuesj-547	41	7	generated	generate	VERB
cuesj-547	41	8	by	by	ADP
cuesj-547	41	9	a	a	DET
cuesj-547	41	10	stationary	stationary	ADJ
cuesj-547	41	11	stochastic	stochastic	ADJ
cuesj-547	41	12	process	process	NOUN
cuesj-547	41	13	must	must	AUX
cuesj-547	41	14	vary	vary	VERB
cuesj-547	41	15	around	around	ADP
cuesj-547	41	16	a	a	DET
cuesj-547	41	17	constant	constant	ADJ
cuesj-547	41	18	mean	mean	NOUN
cuesj-547	41	19	and	and	CCONJ
cuesj-547	41	20	not	not	PART
cuesj-547	41	21	show	show	VERB
cuesj-547	41	22	a	a	DET
cuesj-547	41	23	trend	trend	NOUN
cuesj-547	41	24	.	.	PUNCT
cuesj-547	42	1	the	the	DET
cuesj-547	42	2	variances	variance	NOUN
cuesj-547	42	3	are	be	AUX
cuesj-547	42	4	often	often	ADV
cuesj-547	42	5	time	time	NOUN
cuesj-547	42	6	-	-	PUNCT
cuesj-547	42	7	invariant	invariant	ADJ
cuesj-547	42	8	due	due	ADP
cuesj-547	42	9	to	to	ADP
cuesj-547	42	10	the	the	DET
cuesj-547	42	11	second	second	ADJ
cuesj-547	42	12	requirement	requirement	NOUN
cuesj-547	42	13	.	.	PUNCT
cuesj-547	43	1	the	the	DET
cuesj-547	43	2	variance	variance	NOUN
cuesj-547	43	3	σ	σ	NOUN
cuesj-547	43	4	µ2	µ2	PROPN
cuesj-547	43	5	2	2	NUM
cuesj-547	43	6	x	x	SYM
cuesj-547	43	7	t	t	PROPN
cuesj-547	43	8	xe	xe	PROPN
cuesj-547	43	9	x=	x=	PUNCT
cuesj-547	44	1	−	−	PROPN
cuesj-547	44	2	[	[	PUNCT
cuesj-547	44	3	(	(	PUNCT
cuesj-547	44	4	)	)	PUNCT
cuesj-547	44	5	]=	]=	NOUN
cuesj-547	44	6	0	0	NOUN
cuesj-547	44	7	is	be	AUX
cuesj-547	44	8	independent	independent	ADJ
cuesj-547	44	9	of	of	ADP
cuesj-547	44	10	t	t	PROPN
cuesj-547	44	11	when	when	SCONJ
cuesj-547	44	12	k	k	PROPN
cuesj-547	44	13	=	=	SYM
cuesj-547	44	14	0	0	X
cuesj-547	44	15	.	.	PUNCT
cuesj-547	45	1	furthermore	furthermore	ADV
cuesj-547	45	2	,	,	PUNCT
cuesj-547	45	3	the	the	DET
cuesj-547	45	4	covariance	covariance	NOUN
cuesj-547	45	5	e	e	X
cuesj-547	45	6	[	[	X
cuesj-547	45	7	(	(	PUNCT
cuesj-547	45	8	xt−μx	xt−μx	NOUN
cuesj-547	45	9	)	)	PUNCT
cuesj-547	45	10	(	(	PUNCT
cuesj-547	45	11	xt−k−μx	xt−k−μx	X
cuesj-547	45	12	)	)	PUNCT
cuesj-547	45	13	]	]	PUNCT
cuesj-547	45	14	=	=	SYM
cuesj-547	45	15	γk	γk	PROPN
cuesj-547	45	16	depends	depend	VERB
cuesj-547	45	17	only	only	ADV
cuesj-547	45	18	on	on	ADP
cuesj-547	45	19	the	the	DET
cuesj-547	45	20	distance	distance	NOUN
cuesj-547	45	21	in	in	ADP
cuesj-547	45	22	time	time	NOUN
cuesj-547	45	23	k	k	X
cuesj-547	45	24	between	between	ADP
cuesj-547	45	25	the	the	DET
cuesj-547	45	26	two	two	NUM
cuesj-547	45	27	members	member	NOUN
cuesj-547	45	28	of	of	ADP
cuesj-547	45	29	the	the	DET
cuesj-547	45	30	process	process	NOUN
cuesj-547	45	31	,	,	PUNCT
cuesj-547	45	32	not	not	PART
cuesj-547	45	33	on	on	ADP
cuesj-547	45	34	t.[8,9	t.[8,9	NOUN
cuesj-547	45	35	]	]	PUNCT
cuesj-547	45	36	time	time	NOUN
cuesj-547	45	37	series	series	PROPN
cuesj-547	45	38	models	model	VERB
cuesj-547	45	39	a	a	DET
cuesj-547	45	40	time	time	NOUN
cuesj-547	45	41	series	series	NOUN
cuesj-547	45	42	model	model	NOUN
cuesj-547	45	43	for	for	ADP
cuesj-547	45	44	observed	observed	ADJ
cuesj-547	45	45	data	datum	NOUN
cuesj-547	45	46	xt	xt	X
cuesj-547	45	47	is	be	AUX
cuesj-547	45	48	a	a	DET
cuesj-547	45	49	description	description	NOUN
cuesj-547	45	50	of	of	ADP
cuesj-547	45	51	the	the	DET
cuesj-547	45	52	joint	joint	ADJ
cuesj-547	45	53	distributions	distribution	NOUN
cuesj-547	45	54	(	(	PUNCT
cuesj-547	45	55	or	or	CCONJ
cuesj-547	45	56	,	,	PUNCT
cuesj-547	45	57	in	in	ADP
cuesj-547	45	58	some	some	DET
cuesj-547	45	59	cases	case	NOUN
cuesj-547	45	60	,	,	PUNCT
cuesj-547	45	61	just	just	ADV
cuesj-547	45	62	the	the	DET
cuesj-547	45	63	means	mean	NOUN
cuesj-547	45	64	,	,	PUNCT
cuesj-547	45	65	and	and	CCONJ
cuesj-547	45	66	covariance	covariance	NOUN
cuesj-547	45	67	)	)	PUNCT
cuesj-547	45	68	of	of	ADP
cuesj-547	45	69	a	a	DET
cuesj-547	45	70	set	set	NOUN
cuesj-547	45	71	of	of	ADP
cuesj-547	45	72	random	random	ADJ
cuesj-547	45	73	variables	variable	NOUN
cuesj-547	45	74	xt	xt	PROPN
cuesj-547	45	75	,	,	PUNCT
cuesj-547	45	76	where	where	SCONJ
cuesj-547	45	77	xt	xt	PROPN
cuesj-547	45	78	is	be	AUX
cuesj-547	45	79	supposed	suppose	VERB
cuesj-547	45	80	to	to	PART
cuesj-547	45	81	represent	represent	VERB
cuesj-547	45	82	a	a	DET
cuesj-547	45	83	realization.[10	realization.[10	NOUN
cuesj-547	45	84	]	]	PUNCT
cuesj-547	45	85	autoregressive	autoregressive	ADJ
cuesj-547	45	86	(	(	PUNCT
cuesj-547	45	87	ar	ar	NOUN
cuesj-547	45	88	)	)	PUNCT
cuesj-547	45	89	model	model	NOUN
cuesj-547	45	90	a	a	DET
cuesj-547	45	91	process	process	NOUN
cuesj-547	45	92	{	{	PUNCT
cuesj-547	45	93	xt	xt	X
cuesj-547	45	94	}	}	PUNCT
cuesj-547	45	95	is	be	AUX
cuesj-547	45	96	said	say	VERB
cuesj-547	45	97	to	to	PART
cuesj-547	45	98	be	be	AUX
cuesj-547	45	99	an	an	DET
cuesj-547	45	100	ar	ar	NOUN
cuesj-547	45	101	model	model	NOUN
cuesj-547	45	102	of	of	ADP
cuesj-547	45	103	an	an	DET
cuesj-547	45	104	order	order	NOUN
cuesj-547	45	105	p	p	NOUN
cuesj-547	45	106	,	,	PUNCT
cuesj-547	45	107	abbreviated	abbreviate	VERB
cuesj-547	45	108	ar	ar	NOUN
cuesj-547	45	109	(	(	PUNCT
cuesj-547	45	110	p	p	NOUN
cuesj-547	45	111	)	)	PUNCT
cuesj-547	45	112	,	,	PUNCT
cuesj-547	45	113	is	be	AUX
cuesj-547	45	114	of	of	ADP
cuesj-547	45	115	the	the	DET
cuesj-547	45	116	form	form	NOUN
cuesj-547	45	117	.	.	PUNCT
cuesj-547	46	1	xt=∅1	xt=∅1	PROPN
cuesj-547	46	2	xt−1	xt−1	PROPN
cuesj-547	46	3	+	+	CCONJ
cuesj-547	46	4	∅2	∅2	VERB
cuesj-547	46	5	xt−2+	xt−2+	NOUN
cuesj-547	46	6	…	…	PUNCT
cuesj-547	46	7	.+	.+	NOUN
cuesj-547	46	8	∅p	∅p	VERB
cuesj-547	46	9	xt−p+ϵt	xt−p+ϵt	X
cuesj-547	46	10	(	(	PUNCT
cuesj-547	46	11	1	1	X
cuesj-547	46	12	)	)	PUNCT
cuesj-547	46	13	where	where	SCONJ
cuesj-547	46	14	it	it	PRON
cuesj-547	46	15	xt	xt	VERB
cuesj-547	46	16	is	be	AUX
cuesj-547	46	17	stationary	stationary	ADJ
cuesj-547	46	18	,	,	PUNCT
cuesj-547	46	19	∅1	∅1	NOUN
cuesj-547	46	20	,	,	PUNCT
cuesj-547	46	21	∅2	∅2	NOUN
cuesj-547	46	22	,	,	PUNCT
cuesj-547	46	23	…	…	PUNCT
cuesj-547	46	24	.	.	PUNCT
cuesj-547	46	25	,	,	PUNCT
cuesj-547	46	26	∅p	∅p	VERB
cuesj-547	46	27	,	,	PUNCT
cuesj-547	46	28	are	be	AUX
cuesj-547	46	29	constants	constant	NOUN
cuesj-547	46	30	(	(	PUNCT
cuesj-547	46	31	∅p≠0).[11	∅p≠0).[11	NOUN
cuesj-547	46	32	]	]	PUNCT
cuesj-547	46	33	moving	move	VERB
cuesj-547	46	34	average	average	ADJ
cuesj-547	46	35	(	(	PUNCT
cuesj-547	46	36	ma	ma	PROPN
cuesj-547	46	37	)	)	PUNCT
cuesj-547	46	38	model	model	NOUN
cuesj-547	46	39	a	a	DET
cuesj-547	46	40	process	process	NOUN
cuesj-547	46	41	{	{	PUNCT
cuesj-547	46	42	xt	xt	X
cuesj-547	46	43	}	}	PUNCT
cuesj-547	46	44	is	be	AUX
cuesj-547	46	45	called	call	VERB
cuesj-547	46	46	to	to	PART
cuesj-547	46	47	be	be	AUX
cuesj-547	46	48	the	the	DET
cuesj-547	46	49	ma	ma	PROPN
cuesj-547	46	50	model	model	NOUN
cuesj-547	46	51	of	of	ADP
cuesj-547	46	52	order	order	NOUN
cuesj-547	46	53	q	q	NOUN
cuesj-547	46	54	,	,	PUNCT
cuesj-547	46	55	or	or	CCONJ
cuesj-547	46	56	ma	ma	PROPN
cuesj-547	46	57	(	(	PUNCT
cuesj-547	46	58	q	q	NOUN
cuesj-547	46	59	)	)	PUNCT
cuesj-547	46	60	model	model	NOUN
cuesj-547	46	61	,	,	PUNCT
cuesj-547	46	62	is	be	AUX
cuesj-547	46	63	identified	identify	VERB
cuesj-547	46	64	to	to	PART
cuesj-547	46	65	be	be	AUX
cuesj-547	46	66	xt	xt	X
cuesj-547	46	67	=	=	PUNCT
cuesj-547	47	1	ϵt−θ1	ϵt−θ1	X
cuesj-547	47	2	ϵt−1−θ2	ϵt−1−θ2	PROPN
cuesj-547	47	3	ϵt−2−	ϵt−2−	PROPN
cuesj-547	47	4	…	…	PUNCT
cuesj-547	47	5	−	−	NOUN
cuesj-547	47	6	θq	θq	ADP
cuesj-547	47	7	ϵt−q	ϵt−q	NOUN
cuesj-547	47	8	(	(	PUNCT
cuesj-547	47	9	2	2	NUM
cuesj-547	47	10	)	)	PUNCT
cuesj-547	47	11	where	where	SCONJ
cuesj-547	47	12	there	there	PRON
cuesj-547	47	13	are	be	VERB
cuesj-547	47	14	q	q	NOUN
cuesj-547	47	15	lags	lag	NOUN
cuesj-547	47	16	in	in	ADP
cuesj-547	47	17	the	the	DET
cuesj-547	47	18	ma	ma	PROPN
cuesj-547	47	19	and	and	CCONJ
cuesj-547	47	20	θ1	θ1	NOUN
cuesj-547	47	21	,	,	PUNCT
cuesj-547	47	22	θ2,	θ2,	ADP
cuesj-547	47	23	…	…	SYM
cuesj-547	47	24	.θp	.θp	X
cuesj-547	47	25	(	(	PUNCT
cuesj-547	47	26	θp≠0	θp≠0	NOUN
cuesj-547	47	27	)	)	PUNCT
cuesj-547	47	28	are	be	AUX
cuesj-547	47	29	parameters.[11	parameters.[11	VERB
cuesj-547	47	30	]	]	PUNCT
cuesj-547	47	31	arma	arma	PROPN
cuesj-547	47	32	model	model	NOUN
cuesj-547	47	33	the	the	DET
cuesj-547	47	34	process	process	NOUN
cuesj-547	47	35	{	{	PUNCT
cuesj-547	47	36	xt	xt	PROPN
cuesj-547	47	37	,	,	PUNCT
cuesj-547	47	38	t	t	NOUN
cuesj-547	47	39	=	=	SYM
cuesj-547	47	40	0	0	NUM
cuesj-547	47	41	,	,	PUNCT
cuesj-547	47	42	±	±	NOUN
cuesj-547	47	43	1	1	NUM
cuesj-547	47	44	,	,	PUNCT
cuesj-547	47	45	±	±	NUM
cuesj-547	47	46	2.,}is	2.,}is	NUM
cuesj-547	47	47	said	say	VERB
cuesj-547	47	48	to	to	PART
cuesj-547	47	49	be	be	AUX
cuesj-547	47	50	an	an	DET
cuesj-547	47	51	arma(p	arma(p	PROPN
cuesj-547	47	52	,	,	PUNCT
cuesj-547	47	53	q	q	ADJ
cuesj-547	47	54	)	)	PUNCT
cuesj-547	47	55	process	process	NOUN
cuesj-547	47	56	if	if	SCONJ
cuesj-547	47	57	{	{	PUNCT
cuesj-547	47	58	xt	xt	VERB
cuesj-547	47	59	}	}	PUNCT
cuesj-547	47	60	is	be	AUX
cuesj-547	47	61	stationary	stationary	ADJ
cuesj-547	47	62	and	and	CCONJ
cuesj-547	47	63	if	if	SCONJ
cuesj-547	47	64	for	for	ADP
cuesj-547	47	65	all	all	DET
cuesj-547	47	66	the	the	DET
cuesj-547	47	67	t	t	NOUN
cuesj-547	47	68	,	,	PUNCT
cuesj-547	47	69	xt−∅1	xt−∅1	PROPN
cuesj-547	48	1	xt−1−	xt−1−	NUM
cuesj-547	48	2	−∅p	−∅p	NUM
cuesj-547	48	3	xt−p=	xt−p=	PROPN
cuesj-547	48	4	εt+	εt+	PROPN
cuesj-547	48	5	θ1	θ1	PROPN
cuesj-547	48	6	εt−1	εt−1	PROPN
cuesj-547	48	7	+	+	PROPN
cuesj-547	48	8	+	+	ADJ
cuesj-547	48	9	θq	θq	PROPN
cuesj-547	48	10	εt−q	εt−q	ADJ
cuesj-547	48	11	(	(	PUNCT
cuesj-547	48	12	3	3	NUM
cuesj-547	48	13	)	)	PUNCT
cuesj-547	48	14	where	where	SCONJ
cuesj-547	48	15	{	{	PUNCT
cuesj-547	48	16	ϵt	ϵt	NOUN
cuesj-547	48	17	}	}	PUNCT
cuesj-547	48	18	~	~	PUNCT
cuesj-547	48	19	n	n	X
cuesj-547	48	20	(	(	PUNCT
cuesj-547	48	21	0,σ2	0,σ2	PROPN
cuesj-547	48	22	)	)	PUNCT
cuesj-547	48	23	.	.	PUNCT
cuesj-547	49	1	we	we	PRON
cuesj-547	49	2	say	say	VERB
cuesj-547	49	3	that	that	SCONJ
cuesj-547	49	4	{	{	PUNCT
cuesj-547	49	5	xt	xt	X
cuesj-547	49	6	}	}	PUNCT
cuesj-547	49	7	is	be	AUX
cuesj-547	49	8	an	an	DET
cuesj-547	49	9	arma	arma	NOUN
cuesj-547	49	10	(	(	PUNCT
cuesj-547	49	11	p	p	X
cuesj-547	49	12	,	,	PUNCT
cuesj-547	49	13	q	q	NOUN
cuesj-547	49	14	)	)	PUNCT
cuesj-547	49	15	process	process	NOUN
cuesj-547	49	16	with	with	ADP
cuesj-547	49	17	mean	mean	PROPN
cuesj-547	49	18	μ	μ	NOUN
cuesj-547	49	19	.	.	PUNCT
cuesj-547	50	1	if	if	SCONJ
cuesj-547	50	2	xt−μ	xt−μ	PROPN
cuesj-547	50	3	}	}	PUNCT
cuesj-547	50	4	is	be	AUX
cuesj-547	50	5	an	an	DET
cuesj-547	50	6	arma	arma	NOUN
cuesj-547	50	7	(	(	PUNCT
cuesj-547	50	8	p	p	X
cuesj-547	50	9	,	,	PUNCT
cuesj-547	50	10	q	q	NOUN
cuesj-547	50	11	)	)	PUNCT
cuesj-547	50	12	process.[7	process.[7	NOUN
cuesj-547	50	13	]	]	PUNCT
cuesj-547	50	14	arima	arima	NOUN
cuesj-547	50	15	model	model	NOUN
cuesj-547	50	16	if	if	SCONJ
cuesj-547	50	17	the	the	DET
cuesj-547	50	18	dth	dth	ADJ
cuesj-547	50	19	difference	difference	NOUN
cuesj-547	50	20	zt	zt	PROPN
cuesj-547	50	21	=	=	SYM
cuesj-547	50	22	∇dxt	∇dxt	PROPN
cuesj-547	50	23	is	be	AUX
cuesj-547	50	24	a	a	DET
cuesj-547	50	25	stationary	stationary	ADJ
cuesj-547	50	26	arma	arma	NOUN
cuesj-547	50	27	process	process	NOUN
cuesj-547	50	28	,	,	PUNCT
cuesj-547	50	29	a	a	DET
cuesj-547	50	30	time	time	NOUN
cuesj-547	50	31	series	series	NOUN
cuesj-547	50	32	{	{	PUNCT
cuesj-547	50	33	xt	xt	ADP
cuesj-547	50	34	}	}	PUNCT
cuesj-547	50	35	is	be	AUX
cuesj-547	50	36	said	say	VERB
cuesj-547	50	37	to	to	PART
cuesj-547	50	38	follow	follow	VERB
cuesj-547	50	39	an	an	DET
cuesj-547	50	40	integrated	integrated	ADJ
cuesj-547	50	41	arma	arma	PROPN
cuesj-547	50	42	model	model	NOUN
cuesj-547	50	43	.	.	PUNCT
cuesj-547	51	1	we	we	PRON
cuesj-547	51	2	state	state	VERB
cuesj-547	51	3	that	that	SCONJ
cuesj-547	51	4	{	{	PUNCT
cuesj-547	51	5	xt	xt	X
cuesj-547	51	6	}	}	PUNCT
cuesj-547	51	7	is	be	AUX
cuesj-547	51	8	an	an	DET
cuesj-547	51	9	arima	arima	NOUN
cuesj-547	51	10	(	(	PUNCT
cuesj-547	51	11	p	p	X
cuesj-547	51	12	,	,	PUNCT
cuesj-547	51	13	d	d	NOUN
cuesj-547	51	14	,	,	PUNCT
cuesj-547	51	15	q	q	ADJ
cuesj-547	51	16	)	)	PUNCT
cuesj-547	51	17	process	process	NOUN
cuesj-547	51	18	if	if	SCONJ
cuesj-547	51	19	{	{	PUNCT
cuesj-547	51	20	zt	zt	PROPN
cuesj-547	51	21	}	}	PUNCT
cuesj-547	51	22	follows	follow	VERB
cuesj-547	51	23	an	an	DET
cuesj-547	51	24	arma	arma	NOUN
cuesj-547	51	25	(	(	PUNCT
cuesj-547	51	26	p	p	X
cuesj-547	51	27	,	,	PUNCT
cuesj-547	51	28	q	q	NOUN
cuesj-547	51	29	)	)	PUNCT
cuesj-547	51	30	model	model	NOUN
cuesj-547	51	31	.	.	PUNCT
cuesj-547	52	1	fortunately	fortunately	ADV
cuesj-547	52	2	,	,	PUNCT
cuesj-547	52	3	we	we	PRON
cuesj-547	52	4	can	can	AUX
cuesj-547	52	5	typically	typically	ADV
cuesj-547	52	6	take	take	VERB
cuesj-547	52	7	d=1	d=1	NOUN
cuesj-547	52	8	or	or	CCONJ
cuesj-547	52	9	0	0	NUM
cuesj-547	52	10	greater	great	ADJ
cuesj-547	52	11	than	than	ADP
cuesj-547	52	12	for	for	ADP
cuesj-547	52	13	practical	practical	ADJ
cuesj-547	52	14	purposes.[9	purposes.[9	NOUN
cuesj-547	52	15	]	]	PUNCT
cuesj-547	52	16	consider	consider	VERB
cuesj-547	52	17	an	an	DET
cuesj-547	52	18	arima	arima	NOUN
cuesj-547	52	19	(	(	PUNCT
cuesj-547	52	20	p	p	X
cuesj-547	52	21	,	,	PUNCT
cuesj-547	52	22	1	1	NUM
cuesj-547	52	23	,	,	PUNCT
cuesj-547	52	24	q	q	ADJ
cuesj-547	52	25	)	)	PUNCT
cuesj-547	52	26	process	process	NOUN
cuesj-547	52	27	.	.	PUNCT
cuesj-547	53	1	with	with	ADP
cuesj-547	53	2	zt	zt	PROPN
cuesj-547	53	3	=	=	SYM
cuesj-547	53	4	xt−xt−1	xt−xt−1	PROPN
cuesj-547	53	5	,	,	PUNCT
cuesj-547	53	6	we	we	PRON
cuesj-547	53	7	have	have	VERB
cuesj-547	53	8	zt=	zt=	PROPN
cuesj-547	53	9	∅1	∅1	NOUN
cuesj-547	53	10	zt−1	zt−1	VERB
cuesj-547	53	11	+	+	CCONJ
cuesj-547	53	12	∅2	∅2	VERB
cuesj-547	53	13	zt−2+	zt−2+	NOUN
cuesj-547	53	14	…	…	PUNCT
cuesj-547	53	15	+	+	NUM
cuesj-547	53	16	∅p	∅p	VERB
cuesj-547	53	17	zt−p+ϵt−θ1	zt−p+ϵt−θ1	PROPN
cuesj-547	53	18	ϵt−1	ϵt−1	PROPN
cuesj-547	53	19	–	–	PUNCT
cuesj-547	53	20	θ2	θ2	PROPN
cuesj-547	53	21	ϵt−2	ϵt−2	PROPN
cuesj-547	53	22	…	…	PUNCT
cuesj-547	53	23	−θq	−θq	NOUN
cuesj-547	53	24	ϵt−q	ϵt−q	NOUN
cuesj-547	53	25	(	(	PUNCT
cuesj-547	53	26	4	4	NUM
cuesj-547	53	27	)	)	PUNCT
cuesj-547	53	28	stages	stage	NOUN
cuesj-547	53	29	of	of	ADP
cuesj-547	53	30	time	time	NOUN
cuesj-547	53	31	-series	-serie	NOUN
cuesj-547	53	32	model	model	NOUN
cuesj-547	53	33	building	build	VERB
cuesj-547	53	34	the	the	DET
cuesj-547	53	35	process	process	NOUN
cuesj-547	53	36	of	of	ADP
cuesj-547	53	37	a	a	DET
cuesj-547	53	38	three	three	NUM
cuesj-547	53	39	-	-	PUNCT
cuesj-547	53	40	step	step	NOUN
cuesj-547	53	41	adaptive	adaptive	ADJ
cuesj-547	53	42	approach	approach	NOUN
cuesj-547	53	43	is	be	AUX
cuesj-547	53	44	used	use	VERB
cuesj-547	53	45	to	to	PART
cuesj-547	53	46	build	build	VERB
cuesj-547	53	47	an	an	DET
cuesj-547	53	48	arima	arima	NOUN
cuesj-547	53	49	model	model	NOUN
cuesj-547	53	50	.	.	PUNCT
cuesj-547	54	1	first	first	ADV
cuesj-547	54	2	,	,	PUNCT
cuesj-547	54	3	previous	previous	ADJ
cuesj-547	54	4	data	datum	NOUN
cuesj-547	54	5	analysis	analysis	NOUN
cuesj-547	54	6	helps	help	VERB
cuesj-547	54	7	to	to	PART
cuesj-547	54	8	identify	identify	VERB
cuesj-547	54	9	a	a	DET
cuesj-547	54	10	probable	probable	ADJ
cuesj-547	54	11	model	model	NOUN
cuesj-547	54	12	of	of	ADP
cuesj-547	54	13	a	a	DET
cuesj-547	54	14	time	time	NOUN
cuesj-547	54	15	series	series	PROPN
cuesj-547	54	16	model	model	PROPN
cuesj-547	54	17	class	class	PROPN
cuesj-547	54	18	.	.	PUNCT
cuesj-547	55	1	second	second	ADJ
cuesj-547	55	2	,	,	PUNCT
cuesj-547	55	3	the	the	DET
cuesj-547	55	4	model	model	NOUN
cuesj-547	55	5	’s	’s	PART
cuesj-547	55	6	unknown	unknown	ADJ
cuesj-547	55	7	parameters	parameter	NOUN
cuesj-547	55	8	are	be	AUX
cuesj-547	55	9	approximated	approximate	VERB
cuesj-547	55	10	.	.	PUNCT
cuesj-547	56	1	finally	finally	ADV
cuesj-547	56	2	,	,	PUNCT
cuesj-547	56	3	diagnostics	diagnostic	NOUN
cuesj-547	56	4	checks	check	NOUN
cuesj-547	56	5	are	be	AUX
cuesj-547	56	6	carried	carry	VERB
cuesj-547	56	7	out	out	ADP
cuesj-547	56	8	through	through	ADP
cuesj-547	56	9	residue	residue	NOUN
cuesj-547	56	10	left	leave	VERB
cuesj-547	56	11	models	model	NOUN
cuesj-547	56	12	to	to	PART
cuesj-547	56	13	analyze	analyze	VERB
cuesj-547	56	14	the	the	DET
cuesj-547	56	15	model	model	NOUN
cuesj-547	56	16	’s	’s	PART
cuesj-547	56	17	appropriateness	appropriateness	NOUN
cuesj-547	56	18	or	or	CCONJ
cuesj-547	56	19	to	to	PART
cuesj-547	56	20	predict	predict	VERB
cuesj-547	56	21	possible	possible	ADJ
cuesj-547	56	22	developments	development	NOUN
cuesj-547	56	23	.	.	PUNCT
cuesj-547	57	1	then	then	ADV
cuesj-547	57	2	,	,	PUNCT
cuesj-547	57	3	we	we	PRON
cuesj-547	57	4	will	will	AUX
cuesj-547	57	5	go	go	VERB
cuesj-547	57	6	through	through	ADP
cuesj-547	57	7	each	each	PRON
cuesj-547	57	8	of	of	ADP
cuesj-547	57	9	these	these	DET
cuesj-547	57	10	processes	process	NOUN
cuesj-547	57	11	in	in	ADP
cuesj-547	57	12	any	any	DET
cuesj-547	57	13	further	further	ADJ
cuesj-547	57	14	context.[12	context.[12	NOUN
cuesj-547	57	15	]	]	PUNCT
cuesj-547	57	16	identification	identification	NOUN
cuesj-547	57	17	to	to	PART
cuesj-547	57	18	make	make	VERB
cuesj-547	57	19	the	the	DET
cuesj-547	57	20	data	datum	NOUN
cuesj-547	57	21	stable	stable	ADJ
cuesj-547	57	22	,	,	PUNCT
cuesj-547	57	23	it	it	PRON
cuesj-547	57	24	may	may	AUX
cuesj-547	57	25	have	have	VERB
cuesj-547	57	26	to	to	PART
cuesj-547	57	27	be	be	AUX
cuesj-547	57	28	pre	pre	VERB
cuesj-547	57	29	-	-	VERB
cuesj-547	57	30	processed	processed	ADJ
cuesj-547	57	31	.	.	PUNCT
cuesj-547	58	1	some	some	PRON
cuesj-547	58	2	of	of	ADP
cuesj-547	58	3	the	the	DET
cuesj-547	58	4	other	other	ADJ
cuesj-547	58	5	four	four	NUM
cuesj-547	58	6	stages	stage	NOUN
cuesj-547	58	7	below	below	ADV
cuesj-547	58	8	must	must	AUX
cuesj-547	58	9	be	be	AUX
cuesj-547	58	10	followed	follow	VERB
cuesj-547	58	11	to	to	PART
cuesj-547	58	12	achieve	achieve	VERB
cuesj-547	58	13	stationarity	stationarity	NOUN
cuesj-547	58	14	:	:	PUNCT
cuesj-547	58	15	1start	1start	NUM
cuesj-547	58	16	by	by	ADP
cuesj-547	58	17	looking	look	VERB
cuesj-547	58	18	at	at	ADP
cuesj-547	58	19	it	it	PRON
cuesj-547	58	20	.	.	PUNCT
cuesj-547	59	1	2rescale	2rescale	NUM
cuesj-547	59	2	it	it	PRON
cuesj-547	59	3	using	use	VERB
cuesj-547	59	4	a	a	DET
cuesj-547	59	5	logarithmic	logarithmic	ADJ
cuesj-547	59	6	or	or	CCONJ
cuesj-547	59	7	exponential	exponential	ADJ
cuesj-547	59	8	transform	transform	NOUN
cuesj-547	59	9	,	,	PUNCT
cuesj-547	59	10	for	for	ADP
cuesj-547	59	11	example	example	NOUN
cuesj-547	59	12	.	.	PUNCT
cuesj-547	60	1	3take	3take	NUM
cuesj-547	60	2	out	out	ADP
cuesj-547	60	3	the	the	DET
cuesj-547	60	4	deterministic	deterministic	ADJ
cuesj-547	60	5	elements	element	NOUN
cuesj-547	60	6	.	.	PUNCT
cuesj-547	61	1	4and	4and	NOUN
cuesj-547	61	2	that	that	PRON
cuesj-547	61	3	is	be	AUX
cuesj-547	61	4	the	the	DET
cuesj-547	61	5	distinction	distinction	NOUN
cuesj-547	61	6	.	.	PUNCT
cuesj-547	62	1	to	to	PART
cuesj-547	62	2	put	put	VERB
cuesj-547	62	3	it	it	PRON
cuesj-547	62	4	another	another	DET
cuesj-547	62	5	way	way	NOUN
cuesj-547	62	6	,	,	PUNCT
cuesj-547	62	7	take	take	VERB
cuesj-547	62	8	∇(b)d	∇(b)d	NOUN
cuesj-547	62	9	x	x	PUNCT
cuesj-547	62	10	until	until	SCONJ
cuesj-547	62	11	you	you	PRON
cuesj-547	62	12	reach	reach	VERB
cuesj-547	62	13	a	a	DET
cuesj-547	62	14	stop	stop	NOUN
cuesj-547	62	15	.	.	PUNCT
cuesj-547	63	1	in	in	ADP
cuesj-547	63	2	most	most	ADJ
cuesj-547	63	3	cases	case	NOUN
cuesj-547	63	4	,	,	PUNCT
cuesj-547	63	5	d	d	NOUN
cuesj-547	63	6	=	=	SYM
cuesj-547	63	7	1,2	1,2	NUM
cuesj-547	63	8	will	will	AUX
cuesj-547	63	9	enough	enough	ADV
cuesj-547	63	10	.	.	PUNCT
cuesj-547	64	1	the	the	DET
cuesj-547	64	2	autocorrelations	autocorrelation	NOUN
cuesj-547	64	3	decline	decline	VERB
cuesj-547	64	4	to	to	ADP
cuesj-547	64	5	zero	zero	NUM
cuesj-547	64	6	exponentially	exponentially	ADV
cuesj-547	64	7	fast	fast	ADV
cuesj-547	64	8	,	,	PUNCT
cuesj-547	64	9	indicating	indicate	VERB
cuesj-547	64	10	that	that	SCONJ
cuesj-547	64	11	the	the	DET
cuesj-547	64	12	system	system	NOUN
cuesj-547	64	13	is	be	AUX
cuesj-547	64	14	stationary	stationary	ADJ
cuesj-547	64	15	.	.	PUNCT
cuesj-547	65	1	we	we	PRON
cuesj-547	65	2	can	can	AUX
cuesj-547	65	3	try	try	VERB
cuesj-547	65	4	to	to	PART
cuesj-547	65	5	fit	fit	VERB
cuesj-547	65	6	an	an	DET
cuesj-547	65	7	arma	arma	NOUN
cuesj-547	65	8	(	(	PUNCT
cuesj-547	65	9	p	p	X
cuesj-547	65	10	,	,	PUNCT
cuesj-547	65	11	q	q	NOUN
cuesj-547	65	12	)	)	PUNCT
cuesj-547	65	13	model	model	NOUN
cuesj-547	65	14	when	when	SCONJ
cuesj-547	65	15	the	the	DET
cuesj-547	65	16	series	series	NOUN
cuesj-547	65	17	is	be	AUX
cuesj-547	65	18	stationary	stationary	ADJ
cuesj-547	65	19	.	.	PUNCT
cuesj-547	66	1	the	the	DET
cuesj-547	66	2	correlogram	correlogram	NOUN
cuesj-547	66	3	�	�	PROPN
cuesj-547	66	4	0	0	NUM
cuesj-547	66	5	  	  	SPACE
cuesj-547	66	6	ˆ	ˆ	NOUN
cuesj-547	66	7	  	  	SPACE
cuesj-547	66	8	/kkr	/kkr	PUNCT
cuesj-547	67	1	γ	γ	X
cuesj-547	67	2	γ=	γ=	ADJ
cuesj-547	67	3	and	and	CCONJ
cuesj-547	67	4	partial	partial	ADJ
cuesj-547	67	5	autocorrelations	autocorrelation	NOUN
cuesj-547	67	6	ˆ	ˆ	PART
cuesj-547	67	7	kk∅	kk∅	NOUN
cuesj-547	67	8	are	be	AUX
cuesj-547	67	9	considered	consider	VERB
cuesj-547	67	10	.	.	PUNCT
cuesj-547	68	1	the	the	DET
cuesj-547	68	2	following	follow	VERB
cuesj-547	68	3	observations	observation	NOUN
cuesj-547	68	4	have	have	AUX
cuesj-547	68	5	previously	previously	ADV
cuesj-547	68	6	been	be	AUX
cuesj-547	68	7	made	make	VERB
cuesj-547	68	8	.	.	PUNCT
cuesj-547	69	1	both	both	CCONJ
cuesj-547	69	2	the	the	DET
cuesj-547	69	3	sample	sample	NOUN
cuesj-547	69	4	acf	acf	NOUN
cuesj-547	69	5	and	and	CCONJ
cuesj-547	69	6	pacf	pacf	NOUN
cuesj-547	69	7	,	,	PUNCT
cuesj-547	69	8	as	as	SCONJ
cuesj-547	69	9	previously	previously	ADV
cuesj-547	69	10	mentioned	mention	VERB
cuesj-547	69	11	,	,	PUNCT
cuesj-547	69	12	have	have	VERB
cuesj-547	69	13	a	a	DET
cuesj-547	69	14	standard	standard	ADJ
cuesj-547	69	15	deviation	deviation	NOUN
cuesj-547	69	16	of	of	ADP
cuesj-547	69	17	around	around	ADV
cuesj-547	69	18	1	1	NUM
cuesj-547	69	19	/	/	SYM
cuesj-547	69	20	n	n	CCONJ
cuesj-547	69	21	,	,	PUNCT
cuesj-547	69	22	where	where	SCONJ
cuesj-547	69	23	n	n	PRON
cuesj-547	69	24	is	be	AUX
cuesj-547	69	25	the	the	DET
cuesj-547	69	26	length	length	NOUN
cuesj-547	69	27	of	of	ADP
cuesj-547	69	28	the	the	DET
cuesj-547	69	29	series	series	NOUN
cuesj-547	69	30	.	.	PUNCT
cuesj-547	70	1	a	a	DET
cuesj-547	70	2	good	good	ADJ
cuesj-547	70	3	rule	rule	NOUN
cuesj-547	70	4	of	of	ADP
cuesj-547	70	5	thumb	thumb	NOUN
cuesj-547	70	6	is	be	AUX
cuesj-547	70	7	that	that	SCONJ
cuesj-547	70	8	acf	acf	PROPN
cuesj-547	70	9	and	and	CCONJ
cuesj-547	70	10	pacf	pacf	NOUN
cuesj-547	70	11	values	value	NOUN
cuesj-547	70	12	between	between	ADP
cuesj-547	70	13	±2/√n	±2/√n	NOUN
cuesj-547	70	14	are	be	AUX
cuesj-547	70	15	inconsequential	inconsequential	ADJ
cuesj-547	70	16	.	.	PUNCT
cuesj-547	71	1	for	for	ADP
cuesj-547	71	2	k	k	PROPN
cuesj-547	71	3	>	>	X
cuesj-547	71	4	max	max	PROPN
cuesj-547	71	5	(	(	PUNCT
cuesj-547	71	6	p	p	X
cuesj-547	71	7	,	,	PUNCT
cuesj-547	71	8	q	q	NOUN
cuesj-547	71	9	)	)	PUNCT
cuesj-547	71	10	,	,	PUNCT
cuesj-547	71	11	the	the	DET
cuesj-547	71	12	kth	kth	PROPN
cuesj-547	71	13	order	order	NOUN
cuesj-547	71	14	sample	sample	PROPN
cuesj-547	71	15	acf	acf	PROPN
cuesj-547	71	16	and	and	CCONJ
cuesj-547	71	17	pacf	pacf	NOUN
cuesj-547	71	18	decay	decay	NOUN
cuesj-547	71	19	geometrically	geometrically	ADV
cuesj-547	71	20	in	in	ADP
cuesj-547	71	21	an	an	DET
cuesj-547	71	22	arma	arma	NOUN
cuesj-547	71	23	(	(	PUNCT
cuesj-547	71	24	p	p	X
cuesj-547	71	25	,	,	PUNCT
cuesj-547	71	26	q	q	ADJ
cuesj-547	71	27	)	)	PUNCT
cuesj-547	71	28	process	process	NOUN
cuesj-547	71	29	,	,	PUNCT
cuesj-547	71	30	as	as	SCONJ
cuesj-547	71	31	shown	show	VERB
cuesj-547	71	32	in	in	ADP
cuesj-547	71	33	table	table	NOUN
cuesj-547	71	34	1.[13,14	1.[13,14	NUM
cuesj-547	71	35	]	]	X
cuesj-547	71	36	estimations	estimation	NOUN
cuesj-547	71	37	of	of	ADP
cuesj-547	71	38	parameters	parameter	NOUN
cuesj-547	71	39	various	various	ADJ
cuesj-547	71	40	methods	method	NOUN
cuesj-547	71	41	,	,	PUNCT
cuesj-547	71	42	such	such	ADJ
cuesj-547	71	43	as	as	ADP
cuesj-547	71	44	the	the	DET
cuesj-547	71	45	moment	moment	NOUN
cuesj-547	71	46	method	method	NOUN
cuesj-547	71	47	,	,	PUNCT
cuesj-547	71	48	least	least	ADJ
cuesj-547	71	49	squares	square	NOUN
cuesj-547	71	50	,	,	PUNCT
cuesj-547	71	51	maximum	maximum	ADJ
cuesj-547	71	52	likelihood	likelihood	NOUN
cuesj-547	71	53	,	,	PUNCT
cuesj-547	71	54	and	and	CCONJ
cuesj-547	71	55	yule	yule	PROPN
cuesj-547	71	56	-	-	PUNCT
cuesj-547	71	57	walker	walker	NOUN
cuesj-547	71	58	estimate	estimate	NOUN
cuesj-547	71	59	,	,	PUNCT
cuesj-547	71	60	can	can	AUX
cuesj-547	71	61	also	also	ADV
cuesj-547	71	62	table	table	VERB
cuesj-547	71	63	1	1	NUM
cuesj-547	71	64	:	:	PUNCT
cuesj-547	71	65	theoretical	theoretical	ADJ
cuesj-547	71	66	acf	acf	PROPN
cuesj-547	71	67	and	and	CCONJ
cuesj-547	71	68	pacf	pacf	NOUN
cuesj-547	71	69	properties	property	NOUN
cuesj-547	71	70	for	for	ADP
cuesj-547	71	71	stationary	stationary	ADJ
cuesj-547	71	72	processes	process	NOUN
cuesj-547	71	73	process	process	NOUN
cuesj-547	71	74	acf	acf	PROPN
cuesj-547	71	75	pacf	pacf	PROPN
cuesj-547	71	76	ar	ar	PROPN
cuesj-547	71	77	(	(	PUNCT
cuesj-547	71	78	p	p	NOUN
cuesj-547	71	79	)	)	PUNCT
cuesj-547	71	80	tails	tail	NOUN
cuesj-547	71	81	off	off	ADP
cuesj-547	71	82	as	as	ADP
cuesj-547	71	83	exponential	exponential	ADJ
cuesj-547	71	84	decay	decay	NOUN
cuesj-547	71	85	or	or	CCONJ
cuesj-547	71	86	damped	damp	VERB
cuesj-547	71	87	sine	sine	ADJ
cuesj-547	71	88	wave	wave	NOUN
cuesj-547	71	89	cuts	cut	VERB
cuesj-547	71	90	off	off	ADP
cuesj-547	71	91	after	after	ADP
cuesj-547	71	92	lag	lag	NOUN
cuesj-547	71	93	p	p	PROPN
cuesj-547	71	94	ma	ma	PROPN
cuesj-547	71	95	(	(	PUNCT
cuesj-547	71	96	q	q	NOUN
cuesj-547	71	97	)	)	PUNCT
cuesj-547	71	98	cuts	cut	VERB
cuesj-547	71	99	off	off	ADP
cuesj-547	71	100	after	after	ADP
cuesj-547	71	101	lag	lag	NOUN
cuesj-547	71	102	q	q	NOUN
cuesj-547	71	103	tails	tail	NOUN
cuesj-547	71	104	off	off	ADP
cuesj-547	71	105	as	as	ADP
cuesj-547	71	106	exponential	exponential	ADJ
cuesj-547	71	107	decay	decay	NOUN
cuesj-547	71	108	or	or	CCONJ
cuesj-547	71	109	damped	damp	VERB
cuesj-547	71	110	sine	sine	ADJ
cuesj-547	71	111	wave	wave	NOUN
cuesj-547	71	112	arma	arma	PROPN
cuesj-547	71	113	(	(	PUNCT
cuesj-547	71	114	p	p	X
cuesj-547	71	115	,	,	PUNCT
cuesj-547	71	116	q	q	NOUN
cuesj-547	71	117	)	)	PUNCT
cuesj-547	71	118	tails	tail	NOUN
cuesj-547	71	119	off	off	ADP
cuesj-547	71	120	after	after	ADP
cuesj-547	71	121	lag	lag	NOUN
cuesj-547	71	122	(	(	PUNCT
cuesj-547	71	123	q	q	NOUN
cuesj-547	71	124	-	-	PUNCT
cuesj-547	71	125	p	p	NOUN
cuesj-547	71	126	)	)	PUNCT
cuesj-547	71	127	tail	tail	NOUN
cuesj-547	71	128	off	off	ADP
cuesj-547	71	129	after	after	ADP
cuesj-547	71	130	lag	lag	NOUN
cuesj-547	71	131	(	(	PUNCT
cuesj-547	71	132	q	q	NOUN
cuesj-547	71	133	-	-	PUNCT
cuesj-547	71	134	p	p	NOUN
cuesj-547	71	135	)	)	PUNCT
cuesj-547	71	136	mohammed	mohammed	PROPN
cuesj-547	71	137	,	,	PUNCT
cuesj-547	71	138	et	et	PROPN
cuesj-547	71	139	al	al	PROPN
cuesj-547	71	140	.	.	PUNCT
cuesj-547	71	141	:	:	PUNCT
cuesj-547	72	1	time	time	NOUN
cuesj-547	72	2	series	series	PROPN
cuesj-547	72	3	forecasting	forecasting	NOUN
cuesj-547	72	4	using	use	VERB
cuesj-547	72	5	arima	arima	PROPN
cuesj-547	72	6	model	model	NOUN
cuesj-547	72	7	14	14	NUM
cuesj-547	72	8	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-547	72	9	cuesj	cuesj	ADJ
cuesj-547	72	10	2022	2022	NUM
cuesj-547	72	11	,	,	PUNCT
cuesj-547	72	12	6	6	NUM
cuesj-547	72	13	(	(	PUNCT
cuesj-547	72	14	1	1	NUM
cuesj-547	72	15	):	):	PUNCT
cuesj-547	72	16	12	12	NUM
cuesj-547	72	17	-	-	SYM
cuesj-547	72	18	19	19	NUM
cuesj-547	72	19	be	be	AUX
cuesj-547	72	20	used	use	VERB
cuesj-547	72	21	to	to	PART
cuesj-547	72	22	predict	predict	VERB
cuesj-547	72	23	the	the	DET
cuesj-547	72	24	values	value	NOUN
cuesj-547	72	25	as	as	ADP
cuesj-547	72	26	in	in	ADP
cuesj-547	72	27	the	the	DET
cuesj-547	72	28	tentatively	tentatively	ADV
cuesj-547	72	29	defined	define	VERB
cuesj-547	72	30	model.[12	model.[12	PROPN
cuesj-547	72	31	]	]	PUNCT
cuesj-547	72	32	verification	verification	NOUN
cuesj-547	72	33	of	of	ADP
cuesj-547	72	34	the	the	DET
cuesj-547	72	35	model	model	NOUN
cuesj-547	72	36	the	the	DET
cuesj-547	72	37	box	box	PROPN
cuesj-547	72	38	-	-	PUNCT
cuesj-547	72	39	jenkins	jenkins	PROPN
cuesj-547	72	40	methodology	methodology	PROPN
cuesj-547	72	41	’s	’s	PART
cuesj-547	72	42	confirmation	confirmation	NOUN
cuesj-547	72	43	procedure	procedure	NOUN
cuesj-547	72	44	is	be	AUX
cuesj-547	72	45	rather	rather	ADV
cuesj-547	72	46	extensive	extensive	ADJ
cuesj-547	72	47	.	.	PUNCT
cuesj-547	73	1	the	the	DET
cuesj-547	73	2	predicted	predict	VERB
cuesj-547	73	3	model	model	NOUN
cuesj-547	73	4	’s	’s	PART
cuesj-547	73	5	compliance	compliance	NOUN
cuesj-547	73	6	with	with	ADP
cuesj-547	73	7	the	the	DET
cuesj-547	73	8	examined	examine	VERB
cuesj-547	73	9	data	datum	NOUN
cuesj-547	73	10	must	must	AUX
cuesj-547	73	11	be	be	AUX
cuesj-547	73	12	confirmed	confirm	VERB
cuesj-547	73	13	using	use	VERB
cuesj-547	73	14	various	various	ADJ
cuesj-547	73	15	diagnostic	diagnostic	ADJ
cuesj-547	73	16	tests.[15	tests.[15	NOUN
cuesj-547	73	17	]	]	X
cuesj-547	73	18	forecasting[12	forecasting[12	NOUN
cuesj-547	73	19	]	]	X
cuesj-547	73	20	once	once	SCONJ
cuesj-547	73	21	a	a	DET
cuesj-547	73	22	suitable	suitable	ADJ
cuesj-547	73	23	time	time	NOUN
cuesj-547	73	24	series	series	PROPN
cuesj-547	73	25	model	model	NOUN
cuesj-547	73	26	has	have	AUX
cuesj-547	73	27	been	be	AUX
cuesj-547	73	28	fitted	fit	VERB
cuesj-547	73	29	,	,	PUNCT
cuesj-547	73	30	it	it	PRON
cuesj-547	73	31	may	may	AUX
cuesj-547	73	32	be	be	AUX
cuesj-547	73	33	used	use	VERB
cuesj-547	73	34	to	to	PART
cuesj-547	73	35	create	create	VERB
cuesj-547	73	36	forecasts	forecast	NOUN
cuesj-547	73	37	of	of	ADP
cuesj-547	73	38	observations	observation	NOUN
cuesj-547	73	39	in	in	ADP
cuesj-547	73	40	the	the	DET
cuesj-547	73	41	future	future	NOUN
cuesj-547	73	42	.	.	PUNCT
cuesj-547	74	1	if	if	SCONJ
cuesj-547	74	2	the	the	DET
cuesj-547	74	3	current	current	ADJ
cuesj-547	74	4	time	time	NOUN
cuesj-547	74	5	will	will	AUX
cuesj-547	74	6	be	be	AUX
cuesj-547	74	7	is	be	AUX
cuesj-547	74	8	denoted	denote	VERB
cuesj-547	74	9	by	by	ADP
cuesj-547	74	10	t	t	PROPN
cuesj-547	74	11	,	,	PUNCT
cuesj-547	74	12	the	the	DET
cuesj-547	74	13	forecast	forecast	NOUN
cuesj-547	74	14	for	for	ADP
cuesj-547	74	15	xt	xt	PROPN
cuesj-547	75	1	+	+	NOUN
cuesj-547	75	2	τ	τ	PROPN
cuesj-547	75	3	is	be	AUX
cuesj-547	75	4	named	name	VERB
cuesj-547	75	5	the	the	DET
cuesj-547	75	6	τ	τ	PROPN
cuesj-547	75	7	-period	-period	PROPN
cuesj-547	75	8	-	-	PUNCT
cuesj-547	75	9	ahead	ahead	NOUN
cuesj-547	75	10	forecast	forecast	NOUN
cuesj-547	75	11	,	,	PUNCT
cuesj-547	75	12	then	then	ADV
cuesj-547	75	13	denoted	denote	VERB
cuesj-547	75	14	by	by	ADP
cuesj-547	75	15	(	(	PUNCT
cuesj-547	75	16	)	)	PUNCT
cuesj-547	75	17	  	  	SPACE
cuesj-547	75	18	ˆ	ˆ	PROPN
cuesj-547	75	19	ttx	ttx	PROPN
cuesj-547	75	20	τ+	τ+	PUNCT
cuesj-547	75	21	.	.	PUNCT
cuesj-547	76	1	the	the	DET
cuesj-547	76	2	mean	mean	ADJ
cuesj-547	76	3	squared	square	VERB
cuesj-547	76	4	error	error	NOUN
cuesj-547	76	5	,	,	PUNCT
cuesj-547	76	6	which	which	PRON
cuesj-547	76	7	is	be	AUX
cuesj-547	76	8	the	the	DET
cuesj-547	76	9	averaged	average	VERB
cuesj-547	76	10	value	value	NOUN
cuesj-547	76	11	of	of	ADP
cuesj-547	76	12	the	the	DET
cuesj-547	76	13	squares	square	NOUN
cuesj-547	76	14	prediction	prediction	NOUN
cuesj-547	76	15	error	error	NOUN
cuesj-547	76	16	,	,	PUNCT
cuesj-547	76	17	is	be	AUX
cuesj-547	76	18	the	the	DET
cuesj-547	76	19	conventional	conventional	ADJ
cuesj-547	76	20	criterion	criterion	NOUN
cuesj-547	76	21	to	to	PART
cuesj-547	76	22	use	use	VERB
cuesj-547	76	23	in	in	ADP
cuesj-547	76	24	getting	get	VERB
cuesj-547	76	25	the	the	DET
cuesj-547	76	26	best	good	ADJ
cuesj-547	76	27	forecast	forecast	NOUN
cuesj-547	76	28	,	,	PUNCT
cuesj-547	76	29	(	(	PUNCT
cuesj-547	76	30	)	)	PUNCT
cuesj-547	76	31	2	2	NUM
cuesj-547	76	32	    	    	SPACE
cuesj-547	76	33	2ˆe	2ˆe	NOUN
cuesj-547	77	1	[	[	X
cuesj-547	77	2	(	(	PUNCT
cuesj-547	77	3	t	t	PROPN
cuesj-547	77	4	)	)	PUNCT
cuesj-547	77	5	]	]	PUNCT
cuesj-547	78	1	e	e	X
cuesj-547	79	1	[	[	X
cuesj-547	79	2	  	  	SPACE
cuesj-547	79	3	(	(	PUNCT
cuesj-547	79	4	)	)	PUNCT
cuesj-547	79	5	]	]	PUNCT
cuesj-547	79	6	t	t	PROPN
cuesj-547	79	7	ttx	ttx	PROPN
cuesj-547	79	8	ex	ex	X
cuesj-547	79	9	τ	τ	PROPN
cuesj-547	79	10	τ	τ	PROPN
cuesj-547	79	11	τ+	τ+	PUNCT
cuesj-547	79	12	+	+	NOUN
cuesj-547	79	13	−	−	NOUN
cuesj-547	79	14	=	=	PRON
cuesj-547	79	15	is	be	AUX
cuesj-547	79	16	minimized	minimize	VERB
cuesj-547	79	17	.	.	PUNCT
cuesj-547	80	1	it	it	PRON
cuesj-547	80	2	can	can	AUX
cuesj-547	80	3	be	be	AUX
cuesj-547	80	4	seen	see	VERB
cuesj-547	80	5	that	that	SCONJ
cuesj-547	80	6	the	the	DET
cuesj-547	80	7	best	good	ADJ
cuesj-547	80	8	forecast	forecast	NOUN
cuesj-547	80	9	in	in	ADP
cuesj-547	80	10	the	the	DET
cuesj-547	80	11	mean	mean	ADJ
cuesj-547	80	12	square	square	ADJ
cuesj-547	80	13	sense	sense	NOUN
cuesj-547	80	14	is	be	AUX
cuesj-547	80	15	the	the	DET
cuesj-547	80	16	conditional	conditional	ADJ
cuesj-547	80	17	expectation	expectation	NOUN
cuesj-547	80	18	of	of	ADP
cuesj-547	80	19	xt	xt	PROPN
cuesj-547	80	20	+	+	ADV
cuesj-547	80	21	τ	τ	X
cuesj-547	80	22	given	give	VERB
cuesj-547	80	23	current	current	ADJ
cuesj-547	80	24	and	and	CCONJ
cuesj-547	80	25	previous	previous	ADJ
cuesj-547	80	26	observations	observation	NOUN
cuesj-547	80	27	,	,	PUNCT
cuesj-547	80	28	that	that	ADV
cuesj-547	80	29	is	is	ADV
cuesj-547	80	30	,	,	PUNCT
cuesj-547	80	31	xt	xt	PROPN
cuesj-547	80	32	,	,	PUNCT
cuesj-547	80	33	xt−1	xt−1	PROPN
cuesj-547	80	34	,	,	PUNCT
cuesj-547	80	35	…	…	PUNCT
cuesj-547	80	36	.	.	PUNCT
cuesj-547	81	1	x	x	PUNCT
cuesj-547	81	2	x	x	PUNCT
cuesj-547	81	3	x	x	X
cuesj-547	81	4	xt	xt	PROPN
cuesj-547	81	5	t	t	PROPN
cuesj-547	81	6	t	t	PROPN
cuesj-547	81	7	t	t	PROPN
cuesj-547	81	8	�	�	PROPN
cuesj-547	81	9	|	|	NOUN
cuesj-547	81	10	)	)	PUNCT
cuesj-547	81	11	(	(	PUNCT
cuesj-547	81	12	,	,	PUNCT
cuesj-547	81	13	,	,	PUNCT
cuesj-547	81	14	...	...	PUNCT
cuesj-547	81	15	)	)	PUNCT
cuesj-547	82	1	�	�	PROPN
cuesj-547	82	2	�	�	PROPN
cuesj-547	82	3			NUM
cuesj-547	82	4	+	+	SYM
cuesj-547	82	5	+	+	CCONJ
cuesj-547	82	6	−=τ	−=τ	ADJ
cuesj-547	82	7	τ(t	τ(t	ADP
cuesj-547	82	8	e	e	PROPN
cuesj-547	82	9	1	1	NUM
cuesj-547	82	10	(	(	PUNCT
cuesj-547	82	11	5	5	NUM
cuesj-547	82	12	)	)	PUNCT
cuesj-547	82	13	consider	consider	VERB
cuesj-547	82	14	,	,	PUNCT
cuesj-547	82	15	for	for	ADP
cuesj-547	82	16	example	example	NOUN
cuesj-547	82	17	,	,	PUNCT
cuesj-547	82	18	an	an	DET
cuesj-547	82	19	arima	arima	NOUN
cuesj-547	82	20	(	(	PUNCT
cuesj-547	82	21	p	p	X
cuesj-547	82	22	,	,	PUNCT
cuesj-547	82	23	d	d	NOUN
cuesj-547	82	24	,	,	PUNCT
cuesj-547	82	25	q	q	NOUN
cuesj-547	82	26	)	)	PUNCT
cuesj-547	82	27	process	process	NOUN
cuesj-547	82	28	at	at	ADP
cuesj-547	82	29	time	time	NOUN
cuesj-547	82	30	t+τ	t+τ	NUM
cuesj-547	82	31	(	(	PUNCT
cuesj-547	82	32	i.e.	i.e.	X
cuesj-547	82	33	,	,	PUNCT
cuesj-547	82	34	τ	τ	X
cuesj-547	82	35	a	a	DET
cuesj-547	82	36	period	period	NOUN
cuesj-547	82	37	in	in	ADP
cuesj-547	82	38	the	the	DET
cuesj-547	82	39	future	future	NOUN
cuesj-547	82	40	):	):	PUNCT
cuesj-547	82	41	x	x	PROPN
cuesj-547	82	42	xt	xt	VERB
cuesj-547	83	1	i	i	PRON
cuesj-547	83	2	p	p	PROPN
cuesj-547	84	1	d	d	X
cuesj-547	85	1	i	i	PRON
cuesj-547	85	2	t	t	X
cuesj-547	86	1	i	i	PRON
cuesj-547	86	2	t	t	X
cuesj-547	87	1	i	i	PRON
cuesj-547	87	2	q	q	NOUN
cuesj-547	87	3	i	i	PRON
cuesj-547	87	4	t+	t+	PUNCT
cuesj-547	87	5	=	=	PUNCT
cuesj-547	88	1	+	+	PUNCT
cuesj-547	89	1	+	+	CCONJ
cuesj-547	89	2	−	−	X
cuesj-547	90	1	+	+	CCONJ
cuesj-547	90	2	=	=	PUNCT
cuesj-547	90	3	+	+	NOUN
cuesj-547	90	4	=	=	SYM
cuesj-547	90	5	+	+	NUM
cuesj-547	90	6	−+	−+	PROPN
cuesj-547	90	7	∅∑	∅∑	NOUN
cuesj-547	91	1	∑τ	∑τ	PROPN
cuesj-547	91	2	τ	τ	PROPN
cuesj-547	91	3	τ	τ	PROPN
cuesj-547	91	4	τδ	τδ	ADP
cuesj-547	91	5	θ	θ	PROPN
cuesj-547	91	6	1	1	NUM
cuesj-547	91	7	1	1	NUM
cuesj-547	91	8			NOUN
cuesj-547	91	9			PUNCT
cuesj-547	91	10	(	(	PUNCT
cuesj-547	91	11	6	6	NUM
cuesj-547	91	12	)	)	PUNCT
cuesj-547	91	13	and	and	CCONJ
cuesj-547	91	14	box	box	PROPN
cuesj-547	91	15	jenkins	jenkins	PROPN
cuesj-547	91	16	described	describe	VERB
cuesj-547	91	17	the	the	DET
cuesj-547	91	18	flow	flow	NOUN
cuesj-547	91	19	chart	chart	NOUN
cuesj-547	91	20	shown	show	VERB
cuesj-547	91	21	in	in	ADP
cuesj-547	91	22	figure	figure	NOUN
cuesj-547	91	23	1.[16	1.[16	NUM
cuesj-547	91	24	]	]	X
cuesj-547	91	25	the	the	DET
cuesj-547	91	26	dependable	dependable	ADJ
cuesj-547	91	27	statistical	statistical	ADJ
cuesj-547	91	28	standards	standard	NOUN
cuesj-547	91	29	to	to	PART
cuesj-547	91	30	test	test	NOUN
cuesj-547	91	31	forecasting	forecasting	NOUN
cuesj-547	91	32	model	model	NOUN
cuesj-547	91	33	mean	mean	VERB
cuesj-547	91	34	absolute	absolute	ADJ
cuesj-547	91	35	error	error	NOUN
cuesj-547	91	36	(	(	PUNCT
cuesj-547	91	37	mae	mae	PROPN
cuesj-547	91	38	)	)	PUNCT
cuesj-547	91	39	(	(	PUNCT
cuesj-547	91	40	)	)	PUNCT
cuesj-547	91	41	(	(	PUNCT
cuesj-547	91	42	)	)	PUNCT
cuesj-547	91	43	n	n	DET
cuesj-547	91	44	1	1	NUM
cuesj-547	91	45	t	t	NOUN
cuesj-547	91	46	1	1	NUM
cuesj-547	91	47	1	1	NUM
cuesj-547	91	48	|	|	ADV
cuesj-547	91	49	|e	|e	VERB
cuesj-547	91	50	1	1	NUM
cuesj-547	91	51	     	     	SPACE
cuesj-547	91	52	n	n	DET
cuesj-547	91	53	ˆ	ˆ	ADJ
cuesj-547	91	54	|	|	NOUN
cuesj-547	91	55	  	  	SPACE
cuesj-547	91	56	|ˆ	|ˆ	NOUN
cuesj-547	92	1	n	n	ADP
cuesj-547	92	2	t	t	PROPN
cuesj-547	92	3	t	t	PROPN
cuesj-547	92	4	n	n	ADP
cuesj-547	92	5	t	t	PROPN
cuesj-547	92	6	t	t	PROPN
cuesj-547	93	1	t	t	PROPN
cuesj-547	93	2	t	t	PROPN
cuesj-547	93	3	t	t	PROPN
cuesj-547	93	4	y	y	PROPN
cuesj-547	93	5	y	y	PROPN
cuesj-547	93	6	nmae	nmae	VERB
cuesj-547	93	7	y	y	PROPN
cuesj-547	93	8	y	y	PROPN
cuesj-547	93	9	n	n	CCONJ
cuesj-547	93	10	n	n	NOUN
cuesj-547	93	11	=	=	NOUN
cuesj-547	93	12	=	=	SYM
cuesj-547	93	13	=	=	PUNCT
cuesj-547	93	14	−	−	PROPN
cuesj-547	94	1	=	=	SYM
cuesj-547	94	2	=	=	PUNCT
cuesj-547	94	3	=	=	PUNCT
cuesj-547	94	4	−	−	PROPN
cuesj-547	94	5	∑∑	∑∑	PROPN
cuesj-547	94	6	∑	∑	PUNCT
cuesj-547	94	7	(	(	PUNCT
cuesj-547	94	8	7	7	NUM
cuesj-547	94	9	)	)	PUNCT
cuesj-547	94	10	where	where	SCONJ
cuesj-547	94	11	t	t	NOUN
cuesj-547	94	12	=	=	PUNCT
cuesj-547	94	13	time	time	NOUN
cuesj-547	94	14	period	period	NOUN
cuesj-547	94	15	,	,	PUNCT
cuesj-547	94	16	n	n	NOUN
cuesj-547	94	17	=	=	NUM
cuesj-547	94	18	total	total	ADJ
cuesj-547	94	19	number	number	NOUN
cuesj-547	94	20	of	of	ADP
cuesj-547	94	21	observations	observation	NOUN
cuesj-547	94	22	,	,	PUNCT
cuesj-547	94	23	and	and	CCONJ
cuesj-547	94	24	et	et	NOUN
cuesj-547	94	25	=	=	PUNCT
cuesj-547	94	26	(	(	PUNCT
cuesj-547	94	27	observed	observe	VERB
cuesj-547	94	28	value	value	NOUN
cuesj-547	94	29	forecasted	forecast	VERB
cuesj-547	94	30	value	value	NOUN
cuesj-547	94	31	)	)	PUNCT
cuesj-547	94	32	at	at	ADP
cuesj-547	94	33	time	time	NOUN
cuesj-547	94	34	t.[17	t.[17	PROPN
cuesj-547	94	35	]	]	PUNCT
cuesj-547	94	36	root	root	NOUN
cuesj-547	94	37	mean	mean	NOUN
cuesj-547	94	38	square	square	ADJ
cuesj-547	94	39	error	error	NOUN
cuesj-547	94	40	(	(	PUNCT
cuesj-547	94	41	rmse)[1	rmse)[1	X
cuesj-547	94	42	]	]	X
cuesj-547	95	1	this	this	PRON
cuesj-547	95	2	is	be	AUX
cuesj-547	95	3	simply	simply	ADV
cuesj-547	95	4	the	the	DET
cuesj-547	95	5	square	square	ADJ
cuesj-547	95	6	root	root	NOUN
cuesj-547	95	7	of	of	ADP
cuesj-547	95	8	mse	mse	NOUN
cuesj-547	95	9	:	:	PUNCT
cuesj-547	95	10	2	2	NUM
cuesj-547	95	11	1	1	NUM
cuesj-547	95	12	)	)	PUNCT
cuesj-547	95	13	    	    	SPACE
cuesj-547	96	1	ˆ	ˆ	PROPN
cuesj-547	96	2	(	(	PUNCT
cuesj-547	96	3	n	n	NUM
cuesj-547	96	4	t	t	NOUN
cuesj-547	96	5	t	t	PROPN
cuesj-547	96	6	t	t	PROPN
cuesj-547	96	7	y	y	PROPN
cuesj-547	96	8	y	y	PROPN
cuesj-547	96	9	rmse	rmse	PROPN
cuesj-547	96	10	mse	mse	PROPN
cuesj-547	97	1	n	n	PROPN
cuesj-547	97	2	=	=	SYM
cuesj-547	97	3	−	−	PROPN
cuesj-547	98	1	=	=	SYM
cuesj-547	98	2	=	=	SYM
cuesj-547	98	3	∑	∑	PUNCT
cuesj-547	98	4	(	(	PUNCT
cuesj-547	98	5	8)	8)	NUM
cuesj-547	98	6	application	application	NOUN
cuesj-547	98	7	on	on	ADP
cuesj-547	98	8	realdata	realdata	ADJ
cuesj-547	98	9	data	datum	NOUN
cuesj-547	98	10	description	description	NOUN
cuesj-547	98	11	the	the	DET
cuesj-547	98	12	dataset	dataset	NOUN
cuesj-547	98	13	used	use	VERB
cuesj-547	98	14	in	in	ADP
cuesj-547	98	15	this	this	DET
cuesj-547	98	16	analysis	analysis	NOUN
cuesj-547	98	17	is	be	AUX
cuesj-547	98	18	monthly	monthly	ADJ
cuesj-547	98	19	us	us	PROPN
cuesj-547	98	20	dollar	dollar	NOUN
cuesj-547	98	21	/	/	SYM
cuesj-547	98	22	iq	iq	PROPN
cuesj-547	98	23	dinar	dinar	PROPN
cuesj-547	98	24	currency	currency	NOUN
cuesj-547	98	25	exchange	exchange	NOUN
cuesj-547	98	26	rates	rate	NOUN
cuesj-547	98	27	time	time	NOUN
cuesj-547	98	28	series	series	PROPN
cuesj-547	98	29	forecasting	forecasting	NOUN
cuesj-547	98	30	using	use	VERB
cuesj-547	98	31	the	the	DET
cuesj-547	98	32	arima	arima	PROPN
cuesj-547	98	33	model	model	NOUN
cuesj-547	98	34	.	.	PUNCT
cuesj-547	99	1	all	all	DET
cuesj-547	99	2	the	the	DET
cuesj-547	99	3	data	datum	NOUN
cuesj-547	99	4	were	be	AUX
cuesj-547	99	5	collected	collect	VERB
cuesj-547	99	6	from	from	ADP
cuesj-547	99	7	the	the	DET
cuesj-547	99	8	website	website	NOUN
cuesj-547	99	9	(	(	PUNCT
cuesj-547	99	10	sa.investing.com).data	sa.investing.com).data	NOUN
cuesj-547	99	11	were	be	AUX
cuesj-547	99	12	collected	collect	VERB
cuesj-547	99	13	for	for	ADP
cuesj-547	99	14	the	the	DET
cuesj-547	99	15	period	period	NOUN
cuesj-547	99	16	january	january	PROPN
cuesj-547	99	17	2010	2010	NUM
cuesj-547	99	18	to	to	ADP
cuesj-547	99	19	december	december	PROPN
cuesj-547	99	20	2020	2020	NUM
cuesj-547	99	21	.	.	PUNCT
cuesj-547	100	1	there	there	PRON
cuesj-547	100	2	were	be	VERB
cuesj-547	100	3	overall	overall	ADJ
cuesj-547	100	4	132	132	NUM
cuesj-547	100	5	observations	observation	NOUN
cuesj-547	100	6	.	.	PUNCT
cuesj-547	101	1	the	the	DET
cuesj-547	101	2	statistical	statistical	ADJ
cuesj-547	101	3	analysis	analysis	NOUN
cuesj-547	101	4	was	be	AUX
cuesj-547	101	5	computationally	computationally	ADV
cuesj-547	101	6	implemented	implement	VERB
cuesj-547	101	7	in	in	ADP
cuesj-547	101	8	the	the	DET
cuesj-547	101	9	stat	stat	PROPN
cuesj-547	101	10	graphics	graphics	PROPN
cuesj-547	101	11	15	15	NUM
cuesj-547	101	12	software	software	NOUN
cuesj-547	101	13	,	,	PUNCT
cuesj-547	101	14	as	as	SCONJ
cuesj-547	101	15	shown	show	VERB
cuesj-547	101	16	in	in	ADP
cuesj-547	101	17	table	table	NOUN
cuesj-547	101	18	2	2	NUM
cuesj-547	101	19	.	.	NOUN
cuesj-547	101	20	time	time	NOUN
cuesj-547	101	21	series	series	PROPN
cuesj-547	101	22	plots	plot	VERB
cuesj-547	101	23	the	the	DET
cuesj-547	101	24	monthly	monthly	ADJ
cuesj-547	101	25	exchange	exchange	NOUN
cuesj-547	101	26	rate	rate	NOUN
cuesj-547	101	27	between	between	ADP
cuesj-547	101	28	the	the	DET
cuesj-547	101	29	us	us	PROPN
cuesj-547	101	30	dollar	dollar	NOUN
cuesj-547	101	31	/	/	SYM
cuesj-547	101	32	iq	iq	PROPN
cuesj-547	101	33	dinar	dinar	PROPN
cuesj-547	101	34	is	be	AUX
cuesj-547	101	35	depicted	depict	VERB
cuesj-547	101	36	in	in	ADP
cuesj-547	101	37	the	the	DET
cuesj-547	101	38	data	data	NOUN
cuesj-547	101	39	set	set	PROPN
cuesj-547	101	40	’s	’s	PART
cuesj-547	101	41	time	time	NOUN
cuesj-547	101	42	series	series	PROPN
cuesj-547	101	43	plot	plot	PROPN
cuesj-547	101	44	.	.	PUNCT
cuesj-547	102	1	because	because	SCONJ
cuesj-547	102	2	the	the	DET
cuesj-547	102	3	variation	variation	NOUN
cuesj-547	102	4	in	in	ADP
cuesj-547	102	5	the	the	DET
cuesj-547	102	6	size	size	NOUN
cuesj-547	102	7	of	of	ADP
cuesj-547	102	8	the	the	DET
cuesj-547	102	9	fluctuations	fluctuation	NOUN
cuesj-547	102	10	with	with	ADP
cuesj-547	102	11	time	time	NOUN
cuesj-547	102	12	is	be	AUX
cuesj-547	102	13	referred	refer	VERB
cuesj-547	102	14	to	to	ADP
cuesj-547	102	15	as	as	ADV
cuesj-547	102	16	nonstationary	nonstationary	ADJ
cuesj-547	102	17	in	in	ADP
cuesj-547	102	18	the	the	DET
cuesj-547	102	19	variance	variance	NOUN
cuesj-547	102	20	,	,	PUNCT
cuesj-547	102	21	the	the	DET
cuesj-547	102	22	plot	plot	NOUN
cuesj-547	102	23	reveals	reveal	VERB
cuesj-547	102	24	that	that	SCONJ
cuesj-547	102	25	the	the	DET
cuesj-547	102	26	data	data	NOUN
cuesj-547	102	27	is	be	AUX
cuesj-547	102	28	clear	clear	ADJ
cuesj-547	102	29	of	of	ADP
cuesj-547	102	30	being	be	AUX
cuesj-547	102	31	non	non	ADJ
cuesj-547	102	32	-	-	ADJ
cuesj-547	102	33	stationary	stationary	ADJ
cuesj-547	102	34	in	in	ADP
cuesj-547	102	35	the	the	DET
cuesj-547	102	36	mean	mean	NOUN
cuesj-547	102	37	and	and	CCONJ
cuesj-547	102	38	variance	variance	NOUN
cuesj-547	102	39	,	,	PUNCT
cuesj-547	102	40	seasonal	seasonal	ADJ
cuesj-547	102	41	,	,	PUNCT
cuesj-547	102	42	and	and	CCONJ
cuesj-547	102	43	trend	trend	NOUN
cuesj-547	102	44	patterns	pattern	NOUN
cuesj-547	102	45	with	with	ADP
cuesj-547	102	46	an	an	DET
cuesj-547	102	47	increasing	increase	VERB
cuesj-547	102	48	variety	variety	NOUN
cuesj-547	102	49	of	of	ADP
cuesj-547	102	50	variance	variance	NOUN
cuesj-547	102	51	,	,	PUNCT
cuesj-547	102	52	as	as	SCONJ
cuesj-547	102	53	shown	show	VERB
cuesj-547	102	54	in	in	ADP
cuesj-547	102	55	figure	figure	NOUN
cuesj-547	102	56	2	2	NUM
cuesj-547	102	57	.	.	X
cuesj-547	102	58	randomness	randomness	NOUN
cuesj-547	102	59	test	test	NOUN
cuesj-547	102	60	first	first	ADV
cuesj-547	102	61	of	of	ADP
cuesj-547	102	62	all	all	PRON
cuesj-547	102	63	,	,	PUNCT
cuesj-547	102	64	the	the	DET
cuesj-547	102	65	randomness	randomness	NOUN
cuesj-547	102	66	test	test	NOUN
cuesj-547	102	67	of	of	ADP
cuesj-547	102	68	the	the	DET
cuesj-547	102	69	one	one	NUM
cuesj-547	102	70	series	series	NOUN
cuesj-547	102	71	should	should	AUX
cuesj-547	102	72	be	be	AUX
cuesj-547	102	73	made	make	VERB
cuesj-547	102	74	using	use	VERB
cuesj-547	102	75	the	the	DET
cuesj-547	102	76	box	box	PROPN
cuesj-547	102	77	-	-	PUNCT
cuesj-547	102	78	pierce	pierce	PROPN
cuesj-547	102	79	test	test	NOUN
cuesj-547	102	80	.	.	PUNCT
cuesj-547	103	1	the	the	DET
cuesj-547	103	2	null	null	ADJ
cuesj-547	103	3	hypotheses	hypothesis	NOUN
cuesj-547	103	4	are	be	AUX
cuesj-547	103	5	the	the	DET
cuesj-547	103	6	time	time	NOUN
cuesj-547	103	7	series	series	NOUN
cuesj-547	103	8	are	be	AUX
cuesj-547	103	9	random	random	ADJ
cuesj-547	103	10	,	,	PUNCT
cuesj-547	103	11	versus	versus	ADP
cuesj-547	103	12	the	the	DET
cuesj-547	103	13	alternative	alternative	ADJ
cuesj-547	103	14	hypotheses	hypothesis	NOUN
cuesj-547	103	15	of	of	ADP
cuesj-547	103	16	non	non	NOUN
cuesj-547	103	17	-	-	NOUN
cuesj-547	103	18	randomness	randomness	NOUN
cuesj-547	103	19	,	,	PUNCT
cuesj-547	103	20	to	to	PART
cuesj-547	103	21	know	know	VERB
cuesj-547	103	22	that	that	SCONJ
cuesj-547	103	23	the	the	DET
cuesj-547	103	24	data	datum	NOUN
cuesj-547	103	25	has	have	VERB
cuesj-547	103	26	a	a	DET
cuesj-547	103	27	certain	certain	ADJ
cuesj-547	103	28	behavior	behavior	NOUN
cuesj-547	103	29	than	than	ADP
cuesj-547	103	30	having	have	VERB
cuesj-547	103	31	a	a	DET
cuesj-547	103	32	random	random	ADJ
cuesj-547	103	33	behavior	behavior	NOUN
cuesj-547	103	34	.	.	PUNCT
cuesj-547	104	1	as	as	SCONJ
cuesj-547	104	2	explained	explain	VERB
cuesj-547	104	3	in	in	ADP
cuesj-547	104	4	table	table	NOUN
cuesj-547	104	5	3	3	NUM
cuesj-547	104	6	for	for	ADP
cuesj-547	104	7	the	the	DET
cuesj-547	104	8	series	series	NOUN
cuesj-547	104	9	;	;	PUNCT
cuesj-547	104	10	as	as	ADP
cuesj-547	104	11	p	p	X
cuesj-547	104	12	<	<	X
cuesj-547	104	13	0.05	0.05	NUM
cuesj-547	104	14	to	to	ADP
cuesj-547	104	15	every	every	DET
cuesj-547	104	16	series	series	NOUN
cuesj-547	104	17	,	,	PUNCT
cuesj-547	104	18	therefore	therefore	ADV
cuesj-547	104	19	null	null	ADJ
cuesj-547	104	20	hypotheses	hypothesis	NOUN
cuesj-547	104	21	were	be	AUX
cuesj-547	104	22	rejected	reject	VERB
cuesj-547	104	23	,	,	PUNCT
cuesj-547	104	24	meaning	mean	VERB
cuesj-547	104	25	that	that	SCONJ
cuesj-547	104	26	the	the	DET
cuesj-547	104	27	one	one	NUM
cuesj-547	104	28	-	-	PUNCT
cuesj-547	104	29	time	time	NOUN
cuesj-547	104	30	series	series	NOUN
cuesj-547	104	31	are	be	AUX
cuesj-547	104	32	not	not	PART
cuesj-547	104	33	random	random	ADJ
cuesj-547	104	34	series	series	NOUN
cuesj-547	104	35	.	.	PUNCT
cuesj-547	105	1	the	the	DET
cuesj-547	105	2	hypothesis	hypothesis	NOUN
cuesj-547	105	3	was	be	AUX
cuesj-547	105	4	as	as	SCONJ
cuesj-547	105	5	follows	follow	VERB
cuesj-547	105	6	for	for	SCONJ
cuesj-547	105	7	the	the	DET
cuesj-547	105	8	exchange	exchange	NOUN
cuesj-547	105	9	rate	rate	NOUN
cuesj-547	105	10	us	we	PRON
cuesj-547	105	11	dollar	dollar	NOUN
cuesj-547	105	12	/	/	SYM
cuesj-547	105	13	iq	iq	PROPN
cuesj-547	105	14	dinar	dinar	PROPN
cuesj-547	105	15	the	the	DET
cuesj-547	105	16	series	series	NOUN
cuesj-547	105	17	.	.	PUNCT
cuesj-547	106	1	figure	figure	VERB
cuesj-547	106	2	1	1	NUM
cuesj-547	106	3	:	:	PUNCT
cuesj-547	106	4	depicts	depict	VERB
cuesj-547	106	5	the	the	DET
cuesj-547	106	6	box	box	NOUN
cuesj-547	106	7	-	-	PUNCT
cuesj-547	106	8	jenkins	jenkins	PROPN
cuesj-547	106	9	model	model	PROPN
cuesj-547	106	10	-	-	PUNCT
cuesj-547	106	11	building	building	NOUN
cuesj-547	106	12	methodology	methodology	NOUN
cuesj-547	106	13	figure	figure	NOUN
cuesj-547	106	14	2	2	NUM
cuesj-547	106	15	:	:	PUNCT
cuesj-547	106	16	time	time	NOUN
cuesj-547	106	17	series	series	PROPN
cuesj-547	106	18	plot	plot	NOUN
cuesj-547	106	19	of	of	ADP
cuesj-547	106	20	the	the	DET
cuesj-547	106	21	original	original	ADJ
cuesj-547	106	22	monthly	monthly	ADJ
cuesj-547	106	23	exchange	exchange	NOUN
cuesj-547	106	24	rate	rate	NOUN
cuesj-547	106	25	usd	usd	PROPN
cuesj-547	106	26	/	/	SYM
cuesj-547	106	27	iqd	iqd	NOUN
cuesj-547	106	28	data	datum	NOUN
cuesj-547	106	29	from	from	ADP
cuesj-547	106	30	1	1	NUM
cuesj-547	106	31	january	january	NOUN
cuesj-547	106	32	2010	2010	NUM
cuesj-547	106	33	to	to	ADP
cuesj-547	106	34	31	31	NUM
cuesj-547	106	35	december	december	PROPN
cuesj-547	106	36	2020	2020	NUM
cuesj-547	107	1	mohammed	mohammed	PROPN
cuesj-547	107	2	,	,	PUNCT
cuesj-547	107	3	et	et	PROPN
cuesj-547	107	4	al	al	PROPN
cuesj-547	107	5	.	.	PUNCT
cuesj-547	107	6	:	:	PUNCT
cuesj-547	108	1	time	time	NOUN
cuesj-547	108	2	series	series	PROPN
cuesj-547	108	3	forecasting	forecasting	NOUN
cuesj-547	108	4	using	use	VERB
cuesj-547	108	5	arima	arima	PROPN
cuesj-547	108	6	model	model	NOUN
cuesj-547	108	7	15	15	NUM
cuesj-547	108	8	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-547	108	9	cuesj	cuesj	ADJ
cuesj-547	108	10	2022	2022	NUM
cuesj-547	108	11	,	,	PUNCT
cuesj-547	108	12	6	6	NUM
cuesj-547	108	13	(	(	PUNCT
cuesj-547	108	14	1	1	NUM
cuesj-547	108	15	):	):	PUNCT
cuesj-547	108	16	12	12	NUM
cuesj-547	108	17	-	-	SYM
cuesj-547	108	18	19	19	NUM
cuesj-547	108	19	table	table	NOUN
cuesj-547	108	20	2	2	NUM
cuesj-547	108	21	:	:	PUNCT
cuesj-547	108	22	monthly	monthly	ADJ
cuesj-547	108	23	average	average	ADJ
cuesj-547	108	24	us	us	PROPN
cuesj-547	108	25	dollar	dollar	NOUN
cuesj-547	108	26	/	/	SYM
cuesj-547	108	27	iq	iq	PROPN
cuesj-547	108	28	dinar	dinar	PROPN
cuesj-547	108	29	currency	currency	NOUN
cuesj-547	108	30	exchange	exchange	NOUN
cuesj-547	108	31	rates	rate	NOUN
cuesj-547	108	32	data	datum	NOUN
cuesj-547	108	33	for	for	ADP
cuesj-547	108	34	the	the	DET
cuesj-547	108	35	period	period	NOUN
cuesj-547	108	36	1	1	NUM
cuesj-547	108	37	january	january	NOUN
cuesj-547	108	38	2010–31	2010–31	NUM
cuesj-547	108	39	december	december	PROPN
cuesj-547	108	40	2020	2020	NUM
cuesj-547	108	41	years	year	NOUN
cuesj-547	108	42	2010	2010	NUM
cuesj-547	108	43	2011	2011	NUM
cuesj-547	108	44	2012	2012	NUM
cuesj-547	108	45	2013	2013	NUM
cuesj-547	108	46	2014	2014	NUM
cuesj-547	108	47	2015	2015	NUM
cuesj-547	108	48	2016	2016	NUM
cuesj-547	108	49	2017	2017	NUM
cuesj-547	108	50	2018	2018	NUM
cuesj-547	108	51	2019	2019	NUM
cuesj-547	108	52	2020	2020	NUM
cuesj-547	108	53	january	january	PROPN
cuesj-547	108	54	1169.00	1169.00	NUM
cuesj-547	108	55	1166	1166	NUM
cuesj-547	108	56	1163.5	1163.5	NUM
cuesj-547	108	57	1163.25	1163.25	NUM
cuesj-547	108	58	1163.8	1163.8	NUM
cuesj-547	108	59	1164	1164	NUM
cuesj-547	108	60	1175.9	1175.9	NUM
cuesj-547	108	61	1181	1181	NUM
cuesj-547	108	62	1184.05	1184.05	NUM
cuesj-547	108	63	1186.43	1186.43	NUM
cuesj-547	108	64	1189.4	1189.4	NUM
cuesj-547	108	65	february	february	PROPN
cuesj-547	108	66	1165.9	1165.9	NUM
cuesj-547	108	67	1175	1175	NUM
cuesj-547	108	68	1163	1163	NUM
cuesj-547	108	69	1163	1163	NUM
cuesj-547	108	70	1163	1163	NUM
cuesj-547	108	71	1165	1165	NUM
cuesj-547	108	72	1196.44	1196.44	NUM
cuesj-547	108	73	1175	1175	NUM
cuesj-547	108	74	1184.05	1184.05	NUM
cuesj-547	108	75	1186.43	1186.43	NUM
cuesj-547	108	76	1189	1189	NUM
cuesj-547	108	77	march	march	PROPN
cuesj-547	108	78	1170	1170	NUM
cuesj-547	108	79	1175	1175	NUM
cuesj-547	108	80	1160.9	1160.9	NUM
cuesj-547	108	81	1160	1160	NUM
cuesj-547	108	82	1163.55	1163.55	NUM
cuesj-547	108	83	1163	1163	NUM
cuesj-547	108	84	1170	1170	NUM
cuesj-547	108	85	1166	1166	NUM
cuesj-547	108	86	1184	1184	NUM
cuesj-547	108	87	1189	1189	NUM
cuesj-547	108	88	1187.62	1187.62	NUM
cuesj-547	108	89	april	april	PROPN
cuesj-547	108	90	1170.1	1170.1	NUM
cuesj-547	108	91	1165	1165	NUM
cuesj-547	108	92	1160.9	1160.9	NUM
cuesj-547	108	93	1157	1157	NUM
cuesj-547	108	94	1162	1162	NUM
cuesj-547	108	95	1164	1164	NUM
cuesj-547	108	96	1165.7	1165.7	NUM
cuesj-547	108	97	1166	1166	NUM
cuesj-547	108	98	1185.24	1185.24	NUM
cuesj-547	108	99	1186.43	1186.43	NUM
cuesj-547	108	100	1187.62	1187.62	NUM
cuesj-547	108	101	may	may	PROPN
cuesj-547	108	102	1168	1168	NUM
cuesj-547	108	103	1166	1166	NUM
cuesj-547	108	104	1162.25	1162.25	NUM
cuesj-547	108	105	1145	1145	NUM
cuesj-547	108	106	1162.5	1162.5	NUM
cuesj-547	108	107	1165	1165	NUM
cuesj-547	108	108	1169.4	1169.4	NUM
cuesj-547	108	109	1167	1167	NUM
cuesj-547	108	110	1186.43	1186.43	NUM
cuesj-547	108	111	1186.43	1186.43	NUM
cuesj-547	108	112	1189	1189	NUM
cuesj-547	108	113	june	june	PROPN
cuesj-547	108	114	1168	1168	NUM
cuesj-547	108	115	1166	1166	NUM
cuesj-547	108	116	1162	1162	NUM
cuesj-547	108	117	1160.5	1160.5	NUM
cuesj-547	108	118	1162.9	1162.9	NUM
cuesj-547	108	119	1162	1162	NUM
cuesj-547	108	120	1167.2	1167.2	NUM
cuesj-547	108	121	1166	1166	NUM
cuesj-547	108	122	1190	1190	NUM
cuesj-547	108	123	1186.4	1186.4	NUM
cuesj-547	108	124	1187.62	1187.62	NUM
cuesj-547	108	125	july	july	PROPN
cuesj-547	108	126	1170.03	1170.03	NUM
cuesj-547	108	127	1166.05	1166.05	NUM
cuesj-547	108	128	1162.05	1162.05	NUM
cuesj-547	108	129	1162.5	1162.5	NUM
cuesj-547	108	130	1164.2	1164.2	NUM
cuesj-547	108	131	1156	1156	NUM
cuesj-547	108	132	1168	1168	NUM
cuesj-547	108	133	1167	1167	NUM
cuesj-547	108	134	1186.43	1186.43	NUM
cuesj-547	108	135	1186.43	1186.43	NUM
cuesj-547	108	136	1187.62	1187.62	NUM
cuesj-547	108	137	august	august	PROPN
cuesj-547	108	138	1171	1171	NUM
cuesj-547	108	139	1166	1166	NUM
cuesj-547	108	140	1162	1162	NUM
cuesj-547	108	141	1164	1164	NUM
cuesj-547	108	142	1161.3	1161.3	NUM
cuesj-547	108	143	1145	1145	NUM
cuesj-547	108	144	1162.7	1162.7	NUM
cuesj-547	108	145	1177.73	1177.73	NUM
cuesj-547	108	146	1186.43	1186.43	NUM
cuesj-547	108	147	1186.2	1186.2	NUM
cuesj-547	108	148	1187.62	1187.62	NUM
cuesj-547	108	149	september	september	PROPN
cuesj-547	108	150	1169.2	1169.2	NUM
cuesj-547	108	151	1166	1166	NUM
cuesj-547	108	152	1162	1162	NUM
cuesj-547	108	153	1163.8	1163.8	NUM
cuesj-547	108	154	1163.05	1163.05	NUM
cuesj-547	108	155	1131	1131	NUM
cuesj-547	108	156	1162.7	1162.7	NUM
cuesj-547	108	157	1166.1	1166.1	NUM
cuesj-547	108	158	1186.43	1186.43	NUM
cuesj-547	108	159	1186.43	1186.43	NUM
cuesj-547	108	160	1187.62	1187.62	NUM
cuesj-547	108	161	october	october	PROPN
cuesj-547	108	162	1169.05	1169.05	NUM
cuesj-547	108	163	1167	1167	NUM
cuesj-547	108	164	1162	1162	NUM
cuesj-547	108	165	1164	1164	NUM
cuesj-547	108	166	1162	1162	NUM
cuesj-547	108	167	1122	1122	NUM
cuesj-547	108	168	1164	1164	NUM
cuesj-547	108	169	1166	1166	NUM
cuesj-547	108	170	1186.43	1186.43	NUM
cuesj-547	108	171	1189	1189	NUM
cuesj-547	108	172	1189	1189	NUM
cuesj-547	108	173	november	november	PROPN
cuesj-547	108	174	1169.47	1169.47	NUM
cuesj-547	108	175	1167	1167	NUM
cuesj-547	108	176	1162	1162	NUM
cuesj-547	108	177	1160.8	1160.8	NUM
cuesj-547	108	178	1160	1160	NUM
cuesj-547	108	179	1108	1108	NUM
cuesj-547	108	180	1160.3	1160.3	NUM
cuesj-547	108	181	1182.8	1182.8	NUM
cuesj-547	108	182	1186.43	1186.43	NUM
cuesj-547	108	183	1187.62	1187.62	NUM
cuesj-547	108	184	1187.62	1187.62	NUM
cuesj-547	108	185	december	december	PROPN
cuesj-547	108	186	1166.5	1166.5	NUM
cuesj-547	108	187	1166.3	1166.3	NUM
cuesj-547	108	188	1163	1163	NUM
cuesj-547	108	189	1163.8	1163.8	NUM
cuesj-547	108	190	1142	1142	NUM
cuesj-547	108	191	1095	1095	NUM
cuesj-547	108	192	1181	1181	NUM
cuesj-547	108	193	1184	1184	NUM
cuesj-547	108	194	1186.43	1186.43	NUM
cuesj-547	108	195	1187.62	1187.62	NUM
cuesj-547	108	196	1459	1459	NUM
cuesj-547	108	197	figure	figure	NOUN
cuesj-547	108	198	3	3	NUM
cuesj-547	108	199	:	:	PUNCT
cuesj-547	108	200	exchange	exchange	NOUN
cuesj-547	108	201	rate	rate	NOUN
cuesj-547	108	202	usd	usd	PROPN
cuesj-547	108	203	/	/	SYM
cuesj-547	108	204	iqd	iqd	PROPN
cuesj-547	108	205	series	series	PROPN
cuesj-547	108	206	plot	plot	PROPN
cuesj-547	108	207	after	after	ADP
cuesj-547	108	208	non	non	ADJ
cuesj-547	108	209	-	-	ADJ
cuesj-547	108	210	seasonal	seasonal	ADJ
cuesj-547	108	211	differencing	differencing	NOUN
cuesj-547	108	212	of	of	ADP
cuesj-547	108	213	orders	order	NOUN
cuesj-547	108	214	one	one	NUM
cuesj-547	108	215	h0	h0	NOUN
cuesj-547	108	216	:	:	PUNCT
cuesj-547	108	217	the	the	DET
cuesj-547	108	218	series	series	NOUN
cuesj-547	108	219	is	be	AUX
cuesj-547	108	220	random	random	ADJ
cuesj-547	108	221	h1	h1	NOUN
cuesj-547	108	222	:	:	PUNCT
cuesj-547	108	223	the	the	DET
cuesj-547	108	224	series	series	NOUN
cuesj-547	108	225	is	be	AUX
cuesj-547	108	226	not	not	PART
cuesj-547	108	227	random	random	ADJ
cuesj-547	108	228	data	datum	NOUN
cuesj-547	108	229	transformation	transformation	NOUN
cuesj-547	108	230	after	after	ADP
cuesj-547	108	231	proving	prove	VERB
cuesj-547	108	232	the	the	DET
cuesj-547	108	233	non	non	NOUN
cuesj-547	108	234	-	-	NOUN
cuesj-547	108	235	randomness	randomness	NOUN
cuesj-547	108	236	of	of	ADP
cuesj-547	108	237	the	the	DET
cuesj-547	108	238	exchange	exchange	NOUN
cuesj-547	108	239	rate	rate	NOUN
cuesj-547	108	240	us	we	PRON
cuesj-547	108	241	dollar	dollar	NOUN
cuesj-547	108	242	/	/	SYM
cuesj-547	108	243	iq	iq	PROPN
cuesj-547	108	244	dinar	dinar	PROPN
cuesj-547	108	245	time	time	NOUN
cuesj-547	108	246	series	series	PROPN
cuesj-547	108	247	,	,	PUNCT
cuesj-547	108	248	it	it	PRON
cuesj-547	108	249	can	can	AUX
cuesj-547	108	250	be	be	AUX
cuesj-547	108	251	concluded	conclude	VERB
cuesj-547	108	252	that	that	SCONJ
cuesj-547	108	253	all	all	DET
cuesj-547	108	254	the	the	DET
cuesj-547	108	255	data	data	NOUN
cuesj-547	108	256	series	series	NOUN
cuesj-547	108	257	have	have	VERB
cuesj-547	108	258	a	a	DET
cuesj-547	108	259	certain	certain	ADJ
cuesj-547	108	260	behavior	behavior	NOUN
cuesj-547	108	261	,	,	PUNCT
cuesj-547	108	262	so	so	ADV
cuesj-547	108	263	to	to	PART
cuesj-547	108	264	overcome	overcome	VERB
cuesj-547	108	265	this	this	DET
cuesj-547	108	266	behavior	behavior	NOUN
cuesj-547	108	267	we	we	PRON
cuesj-547	108	268	will	will	AUX
cuesj-547	108	269	try	try	VERB
cuesj-547	108	270	to	to	PART
cuesj-547	108	271	transform	transform	VERB
cuesj-547	108	272	the	the	DET
cuesj-547	108	273	data	datum	NOUN
cuesj-547	108	274	series	series	NOUN
cuesj-547	108	275	,	,	PUNCT
cuesj-547	108	276	each	each	PRON
cuesj-547	108	277	according	accord	VERB
cuesj-547	108	278	to	to	ADP
cuesj-547	108	279	its	its	PRON
cuesj-547	108	280	behavior	behavior	NOUN
cuesj-547	108	281	.	.	PUNCT
cuesj-547	109	1	then	then	ADV
cuesj-547	109	2	,	,	PUNCT
cuesj-547	109	3	the	the	DET
cuesj-547	109	4	data	datum	NOUN
cuesj-547	109	5	were	be	AUX
cuesj-547	109	6	transformed	transform	VERB
cuesj-547	109	7	,	,	PUNCT
cuesj-547	109	8	for	for	ADP
cuesj-547	109	9	instance	instance	NOUN
cuesj-547	109	10	,	,	PUNCT
cuesj-547	109	11	a	a	DET
cuesj-547	109	12	non	non	ADJ
cuesj-547	109	13	-	-	ADJ
cuesj-547	109	14	seasonal	seasonal	ADJ
cuesj-547	109	15	difference	difference	NOUN
cuesj-547	109	16	of	of	ADP
cuesj-547	109	17	order	order	NOUN
cuesj-547	109	18	one	one	NUM
cuesj-547	109	19	for	for	ADP
cuesj-547	109	20	the	the	DET
cuesj-547	109	21	variable	variable	NOUN
cuesj-547	109	22	.	.	PUNCT
cuesj-547	110	1	then	then	ADV
cuesj-547	110	2	,	,	PUNCT
cuesj-547	110	3	the	the	DET
cuesj-547	110	4	series	series	NOUN
cuesj-547	110	5	was	be	AUX
cuesj-547	110	6	tested	test	VERB
cuesj-547	110	7	again	again	ADV
cuesj-547	110	8	to	to	PART
cuesj-547	110	9	test	test	VERB
cuesj-547	110	10	the	the	DET
cuesj-547	110	11	existence	existence	NOUN
cuesj-547	110	12	of	of	ADP
cuesj-547	110	13	randomness	randomness	NOUN
cuesj-547	110	14	.	.	PUNCT
cuesj-547	111	1	the	the	DET
cuesj-547	111	2	hypotheses	hypothesis	NOUN
cuesj-547	111	3	were	be	AUX
cuesj-547	111	4	accepted	accept	VERB
cuesj-547	111	5	when	when	SCONJ
cuesj-547	111	6	p	p	PROPN
cuesj-547	111	7	>	>	X
cuesj-547	111	8	0.05	0.05	NUM
cuesj-547	111	9	as	as	SCONJ
cuesj-547	111	10	shown	show	VERB
cuesj-547	111	11	in	in	ADP
cuesj-547	111	12	table	table	NOUN
cuesj-547	111	13	4	4	NUM
cuesj-547	111	14	.	.	PUNCT
cuesj-547	112	1	the	the	DET
cuesj-547	112	2	hypothesis	hypothesis	NOUN
cuesj-547	112	3	for	for	ADP
cuesj-547	112	4	the	the	DET
cuesj-547	112	5	exchange	exchange	NOUN
cuesj-547	112	6	rate	rate	NOUN
cuesj-547	112	7	usd	usd	PROPN
cuesj-547	112	8	/	/	SYM
cuesj-547	112	9	iqd	iqd	PROPN
cuesj-547	112	10	series	series	NOUN
cuesj-547	112	11	was	be	AUX
cuesj-547	112	12	as	as	SCONJ
cuesj-547	112	13	follows	follow	VERB
cuesj-547	112	14	.	.	PUNCT
cuesj-547	113	1	h0	h0	PROPN
cuesj-547	113	2	:	:	PUNCT
cuesj-547	113	3	the	the	DET
cuesj-547	113	4	series	series	NOUN
cuesj-547	113	5	is	be	AUX
cuesj-547	113	6	random	random	ADJ
cuesj-547	113	7	h1	h1	NOUN
cuesj-547	113	8	:	:	PUNCT
cuesj-547	113	9	the	the	DET
cuesj-547	113	10	series	series	NOUN
cuesj-547	113	11	is	be	AUX
cuesj-547	113	12	not	not	PART
cuesj-547	113	13	random	random	ADJ
cuesj-547	113	14	.	.	PUNCT
cuesj-547	114	1	it	it	PRON
cuesj-547	114	2	can	can	AUX
cuesj-547	114	3	be	be	AUX
cuesj-547	114	4	noticed	notice	VERB
cuesj-547	114	5	that	that	SCONJ
cuesj-547	114	6	all	all	DET
cuesj-547	114	7	the	the	DET
cuesj-547	114	8	data	data	NOUN
cuesj-547	114	9	series	series	NOUN
cuesj-547	114	10	were	be	AUX
cuesj-547	114	11	accepted	accept	VERB
cuesj-547	114	12	to	to	PART
cuesj-547	114	13	be	be	AUX
cuesj-547	114	14	random	random	ADJ
cuesj-547	114	15	after	after	ADP
cuesj-547	114	16	the	the	DET
cuesj-547	114	17	transformations	transformation	NOUN
cuesj-547	114	18	made	make	VERB
cuesj-547	114	19	on	on	ADP
cuesj-547	114	20	the	the	DET
cuesj-547	114	21	series	series	NOUN
cuesj-547	114	22	.	.	PUNCT
cuesj-547	115	1	stationary	stationary	VERB
cuesj-547	115	2	the	the	DET
cuesj-547	115	3	series	series	NOUN
cuesj-547	115	4	under	under	ADP
cuesj-547	115	5	consideration	consideration	NOUN
cuesj-547	115	6	must	must	AUX
cuesj-547	115	7	satisfy	satisfy	VERB
cuesj-547	115	8	the	the	DET
cuesj-547	115	9	condition	condition	NOUN
cuesj-547	115	10	of	of	ADP
cuesj-547	115	11	being	be	AUX
cuesj-547	115	12	stationary	stationary	ADJ
cuesj-547	115	13	;	;	PUNCT
cuesj-547	115	14	that	that	ADV
cuesj-547	115	15	is	is	ADV
cuesj-547	115	16	,	,	PUNCT
cuesj-547	115	17	the	the	DET
cuesj-547	115	18	mean	mean	NOUN
cuesj-547	115	19	and	and	CCONJ
cuesj-547	115	20	variance	variance	NOUN
cuesj-547	115	21	are	be	AUX
cuesj-547	115	22	independent	independent	ADJ
cuesj-547	115	23	of	of	ADP
cuesj-547	115	24	time	time	NOUN
cuesj-547	115	25	throughout	throughout	ADP
cuesj-547	115	26	the	the	DET
cuesj-547	115	27	series	series	NOUN
cuesj-547	115	28	.	.	PUNCT
cuesj-547	116	1	the	the	DET
cuesj-547	116	2	original	original	ADJ
cuesj-547	116	3	series	series	NOUN
cuesj-547	116	4	needs	need	VERB
cuesj-547	116	5	to	to	PART
cuesj-547	116	6	be	be	AUX
cuesj-547	116	7	differentiated	differentiate	VERB
cuesj-547	116	8	to	to	PART
cuesj-547	116	9	make	make	VERB
cuesj-547	116	10	the	the	DET
cuesj-547	116	11	series	series	NOUN
cuesj-547	116	12	stationary	stationary	ADJ
cuesj-547	116	13	around	around	ADP
cuesj-547	116	14	meaning	meaning	NOUN
cuesj-547	116	15	and	and	CCONJ
cuesj-547	116	16	to	to	PART
cuesj-547	116	17	get	get	VERB
cuesj-547	116	18	stationary	stationary	ADJ
cuesj-547	116	19	around	around	ADP
cuesj-547	116	20	variance	variance	NOUN
cuesj-547	116	21	for	for	ADP
cuesj-547	116	22	the	the	DET
cuesj-547	116	23	series	series	NOUN
cuesj-547	116	24	,	,	PUNCT
cuesj-547	116	25	we	we	PRON
cuesj-547	116	26	make	make	VERB
cuesj-547	116	27	transformations	transformation	NOUN
cuesj-547	116	28	the	the	DET
cuesj-547	116	29	rest	rest	NOUN
cuesj-547	116	30	original	original	ADJ
cuesj-547	116	31	series	series	NOUN
cuesj-547	116	32	exchange	exchange	NOUN
cuesj-547	116	33	rate	rate	VERB
cuesj-547	116	34	us	us	PROPN
cuesj-547	116	35	dollar	dollar	NOUN
cuesj-547	116	36	/	/	SYM
cuesj-547	116	37	iq	iq	PROPN
cuesj-547	116	38	dinar	dinar	PROPN
cuesj-547	116	39	is	be	AUX
cuesj-547	116	40	needed	need	VERB
cuesj-547	116	41	non	non	ADJ
cuesj-547	116	42	-	-	ADJ
cuesj-547	116	43	seasonal	seasonal	ADJ
cuesj-547	116	44	differencing	differencing	NOUN
cuesj-547	116	45	of	of	ADP
cuesj-547	116	46	order	order	NOUN
cuesj-547	116	47	one	one	NUM
cuesj-547	116	48	transform	transform	NOUN
cuesj-547	116	49	to	to	PART
cuesj-547	116	50	achieve	achieve	VERB
cuesj-547	116	51	stationary	stationary	ADJ
cuesj-547	116	52	,	,	PUNCT
cuesj-547	116	53	figure	figure	NOUN
cuesj-547	116	54	3	3	NUM
cuesj-547	116	55	show	show	VERB
cuesj-547	116	56	the	the	DET
cuesj-547	116	57	differenced	differenced	ADJ
cuesj-547	116	58	series	series	NOUN
cuesj-547	116	59	.	.	PUNCT
cuesj-547	117	1	to	to	PART
cuesj-547	117	2	identify	identify	VERB
cuesj-547	117	3	the	the	DET
cuesj-547	117	4	entire	entire	ADJ
cuesj-547	117	5	order	order	NOUN
cuesj-547	117	6	of	of	ADP
cuesj-547	117	7	the	the	DET
cuesj-547	117	8	models	model	NOUN
cuesj-547	117	9	for	for	ADP
cuesj-547	117	10	the	the	DET
cuesj-547	117	11	series	series	NOUN
cuesj-547	117	12	,	,	PUNCT
cuesj-547	117	13	we	we	PRON
cuesj-547	117	14	investigate	investigate	VERB
cuesj-547	117	15	the	the	DET
cuesj-547	117	16	autocorrelation	autocorrelation	NOUN
cuesj-547	117	17	function	function	NOUN
cuesj-547	117	18	(	(	PUNCT
cuesj-547	117	19	acf	acf	PROPN
cuesj-547	117	20	)	)	PUNCT
cuesj-547	117	21	and	and	CCONJ
cuesj-547	117	22	partial	partial	ADJ
cuesj-547	117	23	acf	acf	NOUN
cuesj-547	117	24	(	(	PUNCT
cuesj-547	117	25	pacf	pacf	PROPN
cuesj-547	117	26	)	)	PUNCT
cuesj-547	117	27	for	for	ADP
cuesj-547	117	28	the	the	DET
cuesj-547	117	29	original	original	ADJ
cuesj-547	117	30	data	datum	NOUN
cuesj-547	117	31	.	.	PUNCT
cuesj-547	118	1	the	the	DET
cuesj-547	118	2	acf	acf	PROPN
cuesj-547	118	3	and	and	CCONJ
cuesj-547	118	4	pacf	pacf	NOUN
cuesj-547	118	5	plots	plot	NOUN
cuesj-547	118	6	are	be	AUX
cuesj-547	118	7	displayed	display	VERB
cuesj-547	118	8	in	in	ADP
cuesj-547	118	9	the	the	DET
cuesj-547	118	10	figure	figure	NOUN
cuesj-547	118	11	4	4	NUM
cuesj-547	118	12	series	series	NOUN
cuesj-547	118	13	.	.	PUNCT
cuesj-547	119	1	the	the	DET
cuesj-547	119	2	estimated	estimate	VERB
cuesj-547	119	3	autocorrelations	autocorrelation	NOUN
cuesj-547	119	4	and	and	CCONJ
cuesj-547	119	5	pacf	pacf	NOUN
cuesj-547	119	6	between	between	ADP
cuesj-547	119	7	corrected	correct	VERB
cuesj-547	119	8	data	data	NOUN
cuesj-547	119	9	values	value	NOUN
cuesj-547	119	10	at	at	ADP
cuesj-547	119	11	various	various	ADJ
cuesj-547	119	12	lags	lag	NOUN
cuesj-547	119	13	are	be	AUX
cuesj-547	119	14	shown	show	VERB
cuesj-547	119	15	in	in	ADP
cuesj-547	119	16	this	this	DET
cuesj-547	119	17	table	table	NOUN
cuesj-547	119	18	.	.	PUNCT
cuesj-547	120	1	the	the	DET
cuesj-547	120	2	auto	auto	NOUN
cuesj-547	120	3	-	-	PUNCT
cuesj-547	120	4	correlation	correlation	NOUN
cuesj-547	120	5	coefficient	coefficient	NOUN
cuesj-547	120	6	lag	lag	NOUN
cuesj-547	120	7	k	k	PROPN
cuesj-547	120	8	determines	determine	NOUN
cuesj-547	120	9	between	between	ADP
cuesj-547	120	10	table	table	NOUN
cuesj-547	120	11	3	3	NUM
cuesj-547	120	12	:	:	PUNCT
cuesj-547	120	13	hypothesis	hypothesis	NOUN
cuesj-547	120	14	of	of	ADP
cuesj-547	120	15	randomness	randomness	NOUN
cuesj-547	120	16	test	test	NOUN
cuesj-547	120	17	and	and	CCONJ
cuesj-547	120	18	p	p	NOUN
cuesj-547	120	19	-	-	PUNCT
cuesj-547	120	20	value	value	NOUN
cuesj-547	120	21	for	for	ADP
cuesj-547	120	22	data	data	PROPN
cuesj-547	120	23	series	series	PROPN
cuesj-547	120	24	box	box	PROPN
cuesj-547	120	25	-	-	PUNCT
cuesj-547	120	26	pierce	pierce	PROPN
cuesj-547	120	27	test	test	NOUN
cuesj-547	120	28	p	p	ADJ
cuesj-547	120	29	-	-	PUNCT
cuesj-547	120	30	value	value	NOUN
cuesj-547	120	31	decision	decision	NOUN
cuesj-547	120	32	exchange	exchange	NOUN
cuesj-547	120	33	rate	rate	NOUN
cuesj-547	120	34	usd	usd	PROPN
cuesj-547	120	35	/	/	SYM
cuesj-547	120	36	iqd	iqd	NOUN
cuesj-547	120	37	0.000	0.000	NUM
cuesj-547	120	38	(	(	PUNCT
cuesj-547	120	39	snr	snr	NOUN
cuesj-547	120	40	)	)	PUNCT
cuesj-547	120	41	table	table	NOUN
cuesj-547	120	42	4	4	NUM
cuesj-547	120	43	:	:	PUNCT
cuesj-547	120	44	hypothesis	hypothesis	NOUN
cuesj-547	120	45	of	of	ADP
cuesj-547	120	46	randomness	randomness	NOUN
cuesj-547	120	47	test	test	NOUN
cuesj-547	120	48	and	and	CCONJ
cuesj-547	120	49	p	p	NOUN
cuesj-547	120	50	-	-	PUNCT
cuesj-547	120	51	value	value	NOUN
cuesj-547	120	52	for	for	ADP
cuesj-547	120	53	transformed	transform	VERB
cuesj-547	120	54	data	data	PROPN
cuesj-547	120	55	series	series	PROPN
cuesj-547	120	56	box	box	PROPN
cuesj-547	120	57	-	-	PUNCT
cuesj-547	120	58	pierce	pierce	PROPN
cuesj-547	120	59	test	test	NOUN
cuesj-547	120	60	p	p	ADJ
cuesj-547	120	61	-	-	PUNCT
cuesj-547	120	62	value	value	NOUN
cuesj-547	120	63	decision	decision	NOUN
cuesj-547	120	64	exchange	exchange	NOUN
cuesj-547	120	65	rate	rate	NOUN
cuesj-547	120	66	usd	usd	PROPN
cuesj-547	120	67	/	/	SYM
cuesj-547	120	68	iqd	iqd	NOUN
cuesj-547	120	69	1	1	NUM
cuesj-547	120	70	(	(	PUNCT
cuesj-547	120	71	sr	sr	PROPN
cuesj-547	120	72	)	)	PUNCT
cuesj-547	120	73	the	the	DET
cuesj-547	120	74	residuals	residual	NOUN
cuesj-547	120	75	at	at	ADP
cuesj-547	120	76	time	time	NOUN
cuesj-547	120	77	t	t	PROPN
cuesj-547	120	78	-	-	PUNCT
cuesj-547	120	79	k	k	PROPN
cuesj-547	120	80	and	and	CCONJ
cuesj-547	120	81	time	time	NOUN
cuesj-547	120	82	t	t	PROPN
cuesj-547	120	83	is	be	AUX
cuesj-547	120	84	related	relate	VERB
cuesj-547	120	85	and	and	CCONJ
cuesj-547	120	86	the	the	DET
cuesj-547	120	87	partial	partial	ADJ
cuesj-547	120	88	autocorrelation	autocorrelation	NOUN
cuesj-547	120	89	coefficient	coefficient	NOUN
cuesj-547	120	90	measures	measure	VERB
cuesj-547	120	91	the	the	DET
cuesj-547	120	92	correlation	correlation	NOUN
cuesj-547	120	93	between	between	ADP
cuesj-547	120	94	the	the	DET
cuesj-547	120	95	residuals	residual	NOUN
cuesj-547	120	96	at	at	ADP
cuesj-547	120	97	time	time	NOUN
cuesj-547	120	98	t	t	NOUN
cuesj-547	120	99	and	and	CCONJ
cuesj-547	120	100	time	time	NOUN
cuesj-547	120	101	t+k	t+k	NUM
cuesj-547	120	102	having	having	AUX
cuesj-547	120	103	accounted	account	VERB
cuesj-547	120	104	for	for	ADP
cuesj-547	120	105	the	the	DET
cuesj-547	120	106	correlations	correlation	NOUN
cuesj-547	120	107	at	at	ADP
cuesj-547	120	108	all	all	ADV
cuesj-547	120	109	lower	low	ADJ
cuesj-547	120	110	lags	lag	NOUN
cuesj-547	120	111	95.0	95.0	NUM
cuesj-547	120	112	%	%	NOUN
cuesj-547	120	113	probability	probability	NOUN
cuesj-547	120	114	bounds	bound	VERB
cuesj-547	120	115	around	around	ADV
cuesj-547	120	116	0	0	NUM
cuesj-547	120	117	are	be	AUX
cuesj-547	120	118	also	also	ADV
cuesj-547	120	119	indicated	indicate	VERB
cuesj-547	120	120	.	.	PUNCT
cuesj-547	121	1	there	there	PRON
cuesj-547	121	2	is	be	VERB
cuesj-547	121	3	a	a	DET
cuesj-547	121	4	statistically	statistically	ADV
cuesj-547	121	5	significant	significant	ADJ
cuesj-547	121	6	association	association	NOUN
cuesj-547	121	7	at	at	ADP
cuesj-547	121	8	the	the	DET
cuesj-547	121	9	95.0	95.0	NUM
cuesj-547	121	10	%	%	NOUN
cuesj-547	121	11	confidence	confidence	NOUN
cuesj-547	121	12	level	level	NOUN
cuesj-547	121	13	if	if	SCONJ
cuesj-547	121	14	the	the	DET
cuesj-547	121	15	probability	probability	NOUN
cuesj-547	121	16	bounds	bound	VERB
cuesj-547	121	17	for	for	ADP
cuesj-547	121	18	a	a	DET
cuesj-547	121	19	certain	certain	ADJ
cuesj-547	121	20	lag	lag	NOUN
cuesj-547	121	21	do	do	AUX
cuesj-547	121	22	not	not	PART
cuesj-547	121	23	contain	contain	VERB
cuesj-547	121	24	the	the	DET
cuesj-547	121	25	calculated	calculated	ADJ
cuesj-547	121	26	coefficient	coefficient	NOUN
cuesj-547	121	27	.	.	PUNCT
cuesj-547	122	1	the	the	DET
cuesj-547	122	2	95.0	95.0	NUM
cuesj-547	122	3	%	%	NOUN
cuesj-547	122	4	probability	probability	NOUN
cuesj-547	122	5	bounds	bound	VERB
cuesj-547	122	6	around	around	ADV
cuesj-547	122	7	0	0	NUM
cuesj-547	122	8	are	be	AUX
cuesj-547	122	9	also	also	ADV
cuesj-547	122	10	indicated	indicate	VERB
cuesj-547	122	11	.	.	PUNCT
cuesj-547	123	1	there	there	PRON
cuesj-547	123	2	is	be	VERB
cuesj-547	123	3	a	a	DET
cuesj-547	123	4	statistically	statistically	ADV
cuesj-547	123	5	significant	significant	ADJ
cuesj-547	123	6	association	association	NOUN
cuesj-547	123	7	at	at	ADP
cuesj-547	123	8	the	the	DET
cuesj-547	123	9	95.0	95.0	NUM
cuesj-547	123	10	%	%	NOUN
cuesj-547	123	11	confidence	confidence	NOUN
cuesj-547	123	12	level	level	NOUN
cuesj-547	123	13	if	if	SCONJ
cuesj-547	123	14	the	the	DET
cuesj-547	123	15	probability	probability	NOUN
cuesj-547	123	16	bounds	bound	VERB
cuesj-547	123	17	for	for	ADP
cuesj-547	123	18	a	a	DET
cuesj-547	123	19	certain	certain	ADJ
cuesj-547	123	20	lag	lag	NOUN
cuesj-547	123	21	do	do	AUX
cuesj-547	123	22	not	not	PART
cuesj-547	123	23	contain	contain	VERB
cuesj-547	123	24	the	the	DET
cuesj-547	123	25	calculated	calculated	ADJ
cuesj-547	123	26	coefficient	coefficient	NOUN
cuesj-547	123	27	.	.	PUNCT
cuesj-547	124	1	at	at	ADP
cuesj-547	124	2	the	the	DET
cuesj-547	124	3	95.0	95.0	NUM
cuesj-547	124	4	%	%	NOUN
cuesj-547	124	5	confidence	confidence	NOUN
cuesj-547	124	6	level	level	NOUN
cuesj-547	124	7	,	,	PUNCT
cuesj-547	124	8	none	none	NOUN
cuesj-547	124	9	of	of	ADP
cuesj-547	124	10	the	the	DET
cuesj-547	124	11	24	24	NUM
cuesj-547	124	12	partial	partial	ADJ
cuesj-547	124	13	autocorrelation	autocorrelation	NOUN
cuesj-547	124	14	coefficients	coefficient	NOUN
cuesj-547	124	15	are	be	AUX
cuesj-547	124	16	statistically	statistically	ADV
cuesj-547	124	17	significant	significant	ADJ
cuesj-547	124	18	.	.	PUNCT
cuesj-547	125	1	the	the	DET
cuesj-547	125	2	same	same	ADJ
cuesj-547	125	3	procedure	procedure	NOUN
cuesj-547	125	4	was	be	AUX
cuesj-547	125	5	conducted	conduct	VERB
cuesj-547	125	6	for	for	ADP
cuesj-547	125	7	the	the	DET
cuesj-547	125	8	series	series	NOUN
cuesj-547	125	9	;	;	PUNCT
cuesj-547	125	10	table	table	NOUN
cuesj-547	125	11	5	5	NUM
cuesj-547	125	12	through	through	ADP
cuesj-547	125	13	table	table	NOUN
cuesj-547	126	1	6	6	NUM
cuesj-547	126	2	contain	contain	VERB
cuesj-547	126	3	that	that	PRON
cuesj-547	126	4	.	.	PUNCT
cuesj-547	127	1	mohammed	mohammed	PROPN
cuesj-547	127	2	,	,	PUNCT
cuesj-547	127	3	et	et	PROPN
cuesj-547	127	4	al	al	PROPN
cuesj-547	127	5	.	.	PUNCT
cuesj-547	127	6	:	:	PUNCT
cuesj-547	128	1	time	time	NOUN
cuesj-547	128	2	series	series	PROPN
cuesj-547	128	3	forecasting	forecasting	NOUN
cuesj-547	128	4	using	use	VERB
cuesj-547	128	5	arima	arima	PROPN
cuesj-547	128	6	model	model	NOUN
cuesj-547	128	7	16	16	NUM
cuesj-547	128	8	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-547	128	9	cuesj	cuesj	ADJ
cuesj-547	128	10	2022	2022	NUM
cuesj-547	128	11	,	,	PUNCT
cuesj-547	128	12	6	6	NUM
cuesj-547	128	13	(	(	PUNCT
cuesj-547	128	14	1	1	NUM
cuesj-547	128	15	):	):	PUNCT
cuesj-547	128	16	12	12	NUM
cuesj-547	128	17	-	-	SYM
cuesj-547	128	18	19	19	NUM
cuesj-547	128	19	table	table	NOUN
cuesj-547	128	20	5	5	NUM
cuesj-547	128	21	:	:	PUNCT
cuesj-547	128	22	estimated	estimate	VERB
cuesj-547	128	23	autocorrelations	autocorrelation	NOUN
cuesj-547	128	24	for	for	ADP
cuesj-547	128	25	adjusted	adjusted	ADJ
cuesj-547	128	26	exchange	exchange	NOUN
cuesj-547	128	27	rate	rate	NOUN
cuesj-547	128	28	usd	usd	PROPN
cuesj-547	128	29	/	/	SYM
cuesj-547	128	30	iqd	iqd	NOUN
cuesj-547	128	31	lag	lag	NOUN
cuesj-547	128	32	autocorrelation	autocorrelation	NOUN
cuesj-547	128	33	standard	standard	ADJ
cuesj-547	128	34	error	error	NOUN
cuesj-547	128	35	.	.	PUNCT
cuesj-547	129	1	lower	low	ADJ
cuesj-547	129	2	95.0%probability	95.0%probability	NOUN
cuesj-547	129	3	.	.	PUNCT
cuesj-547	130	1	limit	limit	VERB
cuesj-547	130	2	upper	upper	ADJ
cuesj-547	130	3	95.0%probability	95.0%probability	NOUN
cuesj-547	130	4	.	.	PUNCT
cuesj-547	131	1	limit	limit	VERB
cuesj-547	131	2	1	1	NUM
cuesj-547	131	3	0.260945	0.260945	NUM
cuesj-547	131	4	0.087038	0.087038	NUM
cuesj-547	131	5	-0.170593	-0.170593	NOUN
cuesj-547	131	6	0.170593	0.170593	NUM
cuesj-547	131	7	2	2	NUM
cuesj-547	131	8	0.211871	0.211871	NUM
cuesj-547	131	9	0.092776	0.092776	NUM
cuesj-547	131	10	-0.181839	-0.181839	NOUN
cuesj-547	132	1	0.181839	0.181839	NUM
cuesj-547	132	2	3	3	NUM
cuesj-547	132	3	0.189218	0.189218	NUM
cuesj-547	132	4	0.096372	0.096372	NUM
cuesj-547	132	5	-0.188886	-0.188886	NOUN
cuesj-547	132	6	0.188886	0.188886	NUM
cuesj-547	132	7	4	4	NUM
cuesj-547	132	8	0.174333	0.174333	NUM
cuesj-547	132	9	0.099146	0.099146	NUM
cuesj-547	132	10	-0.194324	-0.194324	NOUN
cuesj-547	132	11	0.194324	0.194324	NUM
cuesj-547	132	12	5	5	NUM
cuesj-547	132	13	0.16255	0.16255	NUM
cuesj-547	132	14	0.101442	0.101442	NUM
cuesj-547	132	15	-0.198824	-0.198824	NOUN
cuesj-547	132	16	0.198824	0.198824	NUM
cuesj-547	132	17	6	6	NUM
cuesj-547	132	18	0.160989	0.160989	NUM
cuesj-547	132	19	0.103397	0.103397	NUM
cuesj-547	132	20	-0.202654	-0.202654	NOUN
cuesj-547	132	21	0.202654	0.202654	NUM
cuesj-547	132	22	7	7	NUM
cuesj-547	132	23	0.16544	0.16544	NUM
cuesj-547	132	24	0.105279	0.105279	NUM
cuesj-547	132	25	-0.206343	-0.206343	NOUN
cuesj-547	132	26	0.206343	0.206343	NUM
cuesj-547	132	27	8	8	NUM
cuesj-547	132	28	0.16592	0.16592	NUM
cuesj-547	132	29	0.10723	0.10723	NUM
cuesj-547	132	30	-0.210168	-0.210168	NOUN
cuesj-547	132	31	0.210168	0.210168	NOUN
cuesj-547	132	32	9	9	NUM
cuesj-547	132	33	0.167997	0.167997	NUM
cuesj-547	132	34	0.109158	0.109158	NUM
cuesj-547	132	35	-0.213946	-0.213946	NOUN
cuesj-547	132	36	0.213946	0.213946	NUM
cuesj-547	132	37	10	10	NUM
cuesj-547	132	38	0.178883	0.178883	NUM
cuesj-547	132	39	0.111099	0.111099	NUM
cuesj-547	132	40	-0.217751	-0.217751	NOUN
cuesj-547	132	41	0.217751	0.217751	NUM
cuesj-547	132	42	11	11	NUM
cuesj-547	132	43	0.187412	0.187412	NUM
cuesj-547	132	44	0.11326	0.11326	NUM
cuesj-547	132	45	-0.221986	-0.221986	NOUN
cuesj-547	132	46	0.221986	0.221986	NUM
cuesj-547	132	47	12	12	NUM
cuesj-547	132	48	0.170011	0.170011	NUM
cuesj-547	132	49	0.115586	0.115586	NUM
cuesj-547	132	50	-0.226544	-0.226544	NOUN
cuesj-547	132	51	0.226544	0.226544	NUM
cuesj-547	132	52	13	13	NUM
cuesj-547	132	53	0.140489	0.140489	NUM
cuesj-547	132	54	0.117465	0.117465	NUM
cuesj-547	132	55	-0.230227	-0.230227	NOUN
cuesj-547	133	1	0.230227	0.230227	NUM
cuesj-547	133	2	14	14	NUM
cuesj-547	133	3	0.1297	0.1297	NUM
cuesj-547	133	4	0.118731	0.118731	NUM
cuesj-547	133	5	-0.232709	-0.232709	NOUN
cuesj-547	134	1	0.232709	0.232709	NUM
cuesj-547	134	2	15	15	NUM
cuesj-547	134	3	0.127231	0.127231	NUM
cuesj-547	134	4	0.119799	0.119799	NUM
cuesj-547	134	5	-0.234803	-0.234803	VERB
cuesj-547	134	6	0.234803	0.234803	NUM
cuesj-547	134	7	16	16	NUM
cuesj-547	134	8	0.128438	0.128438	NUM
cuesj-547	134	9	0.120819	0.120819	NUM
cuesj-547	134	10	-0.236801	-0.236801	VERB
cuesj-547	135	1	0.236801	0.236801	NUM
cuesj-547	135	2	17	17	NUM
cuesj-547	135	3	0.127931	0.127931	NUM
cuesj-547	135	4	0.121849	0.121849	NUM
cuesj-547	135	5	-0.23882	-0.23882	NOUN
cuesj-547	135	6	0.23882	0.23882	NUM
cuesj-547	135	7	18	18	NUM
cuesj-547	135	8	0.132377	0.132377	NUM
cuesj-547	135	9	0.122862	0.122862	NUM
cuesj-547	135	10	-0.240806	-0.240806	PUNCT
cuesj-547	135	11	0.240806	0.240806	NUM
cuesj-547	135	12	19	19	NUM
cuesj-547	135	13	0.131391	0.131391	NUM
cuesj-547	135	14	0.123938	0.123938	NUM
cuesj-547	135	15	-0.242914	-0.242914	NOUN
cuesj-547	135	16	0.242914	0.242914	NUM
cuesj-547	135	17	20	20	NUM
cuesj-547	135	18	0.119234	0.119234	NUM
cuesj-547	135	19	0.124989	0.124989	NUM
cuesj-547	135	20	-0.244974	-0.244974	PUNCT
cuesj-547	136	1	0.244974	0.244974	NUM
cuesj-547	136	2	21	21	NUM
cuesj-547	136	3	0.126591	0.126591	NUM
cuesj-547	136	4	0.125847	0.125847	NUM
cuesj-547	136	5	-0.246657	-0.246657	NOUN
cuesj-547	136	6	0.246657	0.246657	NUM
cuesj-547	136	7	22	22	NUM
cuesj-547	136	8	0.120522	0.120522	NUM
cuesj-547	136	9	0.126808	0.126808	NUM
cuesj-547	136	10	-0.24854	-0.24854	NOUN
cuesj-547	136	11	0.24854	0.24854	NUM
cuesj-547	136	12	23	23	NUM
cuesj-547	136	13	0.10901	0.10901	NUM
cuesj-547	136	14	0.127673	0.127673	NUM
cuesj-547	136	15	-0.250235	-0.250235	NOUN
cuesj-547	136	16	0.250235	0.250235	NUM
cuesj-547	136	17	24	24	NUM
cuesj-547	136	18	0.0940275	0.0940275	NUM
cuesj-547	136	19	0.128376	0.128376	NUM
cuesj-547	136	20	-0.251614	-0.251614	NOUN
cuesj-547	136	21	0.251614	0.251614	NUM
cuesj-547	136	22	figure	figure	NOUN
cuesj-547	136	23	4	4	NUM
cuesj-547	136	24	:	:	PUNCT
cuesj-547	136	25	the	the	DET
cuesj-547	136	26	original	original	ADJ
cuesj-547	136	27	monthly	monthly	ADJ
cuesj-547	136	28	acf	acf	NOUN
cuesj-547	136	29	and	and	CCONJ
cuesj-547	136	30	pacf	pacf	NOUN
cuesj-547	136	31	for	for	ADP
cuesj-547	136	32	the	the	DET
cuesj-547	136	33	us	us	PROPN
cuesj-547	136	34	dollar	dollar	NOUN
cuesj-547	136	35	/	/	SYM
cuesj-547	136	36	iq	iq	PROPN
cuesj-547	136	37	dinar	dinar	PROPN
cuesj-547	136	38	exchange	exchange	PROPN
cuesj-547	136	39	rate	rate	NOUN
cuesj-547	136	40	data	datum	NOUN
cuesj-547	136	41	after	after	SCONJ
cuesj-547	136	42	we	we	PRON
cuesj-547	136	43	take	take	VERB
cuesj-547	136	44	the	the	DET
cuesj-547	136	45	differenced	differenced	ADJ
cuesj-547	136	46	series	series	NOUN
cuesj-547	136	47	for	for	ADP
cuesj-547	136	48	the	the	DET
cuesj-547	136	49	exchange	exchange	NOUN
cuesj-547	136	50	rate	rate	NOUN
cuesj-547	136	51	,	,	PUNCT
cuesj-547	136	52	which	which	PRON
cuesj-547	136	53	is	be	AUX
cuesj-547	136	54	transformed	transform	VERB
cuesj-547	136	55	into	into	ADP
cuesj-547	136	56	a	a	DET
cuesj-547	136	57	stationary	stationary	ADJ
cuesj-547	136	58	series	series	NOUN
cuesj-547	136	59	of	of	ADP
cuesj-547	136	60	the	the	DET
cuesj-547	136	61	mean	mean	NOUN
cuesj-547	136	62	and	and	CCONJ
cuesj-547	136	63	the	the	DET
cuesj-547	136	64	variance	variance	NOUN
cuesj-547	136	65	,	,	PUNCT
cuesj-547	136	66	the	the	DET
cuesj-547	136	67	acf	acf	PROPN
cuesj-547	136	68	and	and	CCONJ
cuesj-547	136	69	pacf	pacf	NOUN
cuesj-547	136	70	plots	plot	NOUN
cuesj-547	136	71	of	of	ADP
cuesj-547	136	72	the	the	DET
cuesj-547	136	73	differenced	difference	VERB
cuesj-547	136	74	series	series	NOUN
cuesj-547	136	75	show	show	VERB
cuesj-547	136	76	that	that	SCONJ
cuesj-547	136	77	all	all	DET
cuesj-547	136	78	the	the	DET
cuesj-547	136	79	lags	lag	NOUN
cuesj-547	136	80	are	be	AUX
cuesj-547	136	81	within	within	ADP
cuesj-547	136	82	the	the	DET
cuesj-547	136	83	confidence	confidence	NOUN
cuesj-547	136	84	limits	limit	NOUN
cuesj-547	136	85	as	as	SCONJ
cuesj-547	136	86	shown	show	VERB
cuesj-547	136	87	in	in	ADP
cuesj-547	136	88	the	the	DET
cuesj-547	136	89	mentioned	mention	VERB
cuesj-547	136	90	figure	figure	NOUN
cuesj-547	136	91	5	5	NUM
cuesj-547	136	92	.	.	PUNCT
cuesj-547	136	93	choosing	choose	VERB
cuesj-547	136	94	appropriate	appropriate	ADJ
cuesj-547	136	95	model	model	NOUN
cuesj-547	136	96	after	after	ADP
cuesj-547	136	97	checking	check	VERB
cuesj-547	136	98	for	for	ADP
cuesj-547	136	99	stationary	stationary	NOUN
cuesj-547	136	100	of	of	ADP
cuesj-547	136	101	the	the	DET
cuesj-547	136	102	time	time	NOUN
cuesj-547	136	103	series	series	PROPN
cuesj-547	136	104	’	'	PUNCT
cuesj-547	136	105	mean	mean	PROPN
cuesj-547	136	106	and	and	CCONJ
cuesj-547	136	107	variance	variance	NOUN
cuesj-547	136	108	,	,	PUNCT
cuesj-547	136	109	the	the	DET
cuesj-547	136	110	model	model	NOUN
cuesj-547	136	111	identification	identification	NOUN
cuesj-547	136	112	process	process	NOUN
cuesj-547	136	113	is	be	AUX
cuesj-547	136	114	used	use	VERB
cuesj-547	136	115	to	to	PART
cuesj-547	136	116	determine	determine	VERB
cuesj-547	136	117	the	the	DET
cuesj-547	136	118	adequate	adequate	ADJ
cuesj-547	136	119	model	model	NOUN
cuesj-547	136	120	given	give	VERB
cuesj-547	136	121	the	the	DET
cuesj-547	136	122	acf	acf	NOUN
cuesj-547	136	123	and	and	CCONJ
cuesj-547	136	124	pacf	pacf	NOUN
cuesj-547	136	125	.	.	PUNCT
cuesj-547	137	1	the	the	DET
cuesj-547	137	2	appropriate	appropriate	ADJ
cuesj-547	137	3	model	model	NOUN
cuesj-547	137	4	for	for	ADP
cuesj-547	137	5	the	the	DET
cuesj-547	137	6	series	series	NOUN
cuesj-547	137	7	is	be	AUX
cuesj-547	137	8	shown	show	VERB
cuesj-547	137	9	in	in	ADP
cuesj-547	137	10	table	table	NOUN
cuesj-547	137	11	7	7	NUM
cuesj-547	137	12	.	.	PUNCT
cuesj-547	138	1	at	at	ADP
cuesj-547	138	2	least	least	ADJ
cuesj-547	138	3	the	the	DET
cuesj-547	138	4	rmse	rmse	NOUN
cuesj-547	138	5	and	and	CCONJ
cuesj-547	138	6	mae	mae	PROPN
cuesj-547	138	7	are	be	AUX
cuesj-547	138	8	used	use	VERB
cuesj-547	138	9	to	to	PART
cuesj-547	138	10	determine	determine	VERB
cuesj-547	138	11	the	the	DET
cuesj-547	138	12	best	good	ADJ
cuesj-547	138	13	models	model	NOUN
cuesj-547	138	14	.	.	PUNCT
cuesj-547	139	1	model	model	NOUN
cuesj-547	139	2	identification	identification	NOUN
cuesj-547	139	3	after	after	ADP
cuesj-547	139	4	getting	get	VERB
cuesj-547	139	5	on	on	ADP
cuesj-547	139	6	the	the	DET
cuesj-547	139	7	stationary	stationary	NOUN
cuesj-547	139	8	for	for	ADP
cuesj-547	139	9	the	the	DET
cuesj-547	139	10	time	time	NOUN
cuesj-547	139	11	series	series	PROPN
cuesj-547	139	12	study	study	PROPN
cuesj-547	139	13	,	,	PUNCT
cuesj-547	139	14	the	the	DET
cuesj-547	139	15	acf	acf	NOUN
cuesj-547	139	16	and	and	CCONJ
cuesj-547	139	17	pacf	pacf	NOUN
cuesj-547	139	18	are	be	AUX
cuesj-547	139	19	shown	show	VERB
cuesj-547	139	20	in	in	ADP
cuesj-547	139	21	the	the	DET
cuesj-547	139	22	table	table	NOUN
cuesj-547	139	23	accordingly	accordingly	ADV
cuesj-547	139	24	for	for	ADP
cuesj-547	139	25	stationary	stationary	ADJ
cuesj-547	139	26	data	datum	NOUN
cuesj-547	139	27	.	.	PUNCT
cuesj-547	140	1	we	we	PRON
cuesj-547	140	2	will	will	AUX
cuesj-547	140	3	examine	examine	VERB
cuesj-547	140	4	the	the	DET
cuesj-547	140	5	data	datum	NOUN
cuesj-547	140	6	in	in	ADP
cuesj-547	140	7	acf	acf	PROPN
cuesj-547	140	8	and	and	CCONJ
cuesj-547	140	9	pacf	pacf	NOUN
cuesj-547	140	10	.	.	PUNCT
cuesj-547	141	1	the	the	DET
cuesj-547	141	2	arima	arima	PROPN
cuesj-547	141	3	model	model	NOUN
cuesj-547	141	4	for	for	ADP
cuesj-547	141	5	the	the	DET
cuesj-547	141	6	exchange	exchange	NOUN
cuesj-547	141	7	rate	rate	NOUN
cuesj-547	141	8	variable	variable	NOUN
cuesj-547	141	9	is	be	AUX
cuesj-547	141	10	obtained	obtain	VERB
cuesj-547	141	11	(	(	PUNCT
cuesj-547	141	12	2,1,0)12	2,1,0)12	X
cuesj-547	141	13	.	.	PUNCT
cuesj-547	142	1	estimation	estimation	NOUN
cuesj-547	142	2	it	it	PRON
cuesj-547	142	3	was	be	AUX
cuesj-547	142	4	found	find	VERB
cuesj-547	142	5	that	that	SCONJ
cuesj-547	142	6	the	the	DET
cuesj-547	142	7	best	good	ADJ
cuesj-547	142	8	model	model	NOUN
cuesj-547	142	9	describing	describe	VERB
cuesj-547	142	10	the	the	DET
cuesj-547	142	11	exchange	exchange	NOUN
cuesj-547	142	12	rate	rate	NOUN
cuesj-547	142	13	us	we	PRON
cuesj-547	142	14	dollar	dollar	NOUN
cuesj-547	142	15	/	/	SYM
cuesj-547	142	16	iq	iq	PROPN
cuesj-547	142	17	dinar	dinar	PROPN
cuesj-547	142	18	series	series	PROPN
cuesj-547	142	19	mentioned	mention	VERB
cuesj-547	142	20	above	above	ADV
cuesj-547	142	21	,	,	PUNCT
cuesj-547	142	22	the	the	DET
cuesj-547	142	23	parameters	parameter	NOUN
cuesj-547	142	24	were	be	AUX
cuesj-547	142	25	estimated	estimate	VERB
cuesj-547	142	26	,	,	PUNCT
cuesj-547	142	27	as	as	SCONJ
cuesj-547	142	28	shown	show	VERB
cuesj-547	142	29	in	in	ADP
cuesj-547	142	30	table	table	NOUN
cuesj-547	142	31	8	8	NUM
cuesj-547	142	32	.	.	PUNCT
cuesj-547	143	1	mohammed	mohammed	PROPN
cuesj-547	143	2	,	,	PUNCT
cuesj-547	143	3	et	et	PROPN
cuesj-547	143	4	al	al	PROPN
cuesj-547	143	5	.	.	PUNCT
cuesj-547	143	6	:	:	PUNCT
cuesj-547	143	7	time	time	NOUN
cuesj-547	143	8	series	series	PROPN
cuesj-547	143	9	forecasting	forecasting	NOUN
cuesj-547	143	10	using	use	VERB
cuesj-547	143	11	arima	arima	PROPN
cuesj-547	143	12	model	model	NOUN
cuesj-547	143	13	17	17	NUM
cuesj-547	143	14	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-547	143	15	cuesj	cuesj	ADJ
cuesj-547	143	16	2022	2022	NUM
cuesj-547	143	17	,	,	PUNCT
cuesj-547	143	18	6	6	NUM
cuesj-547	143	19	(	(	PUNCT
cuesj-547	143	20	1	1	NUM
cuesj-547	143	21	):	):	PUNCT
cuesj-547	143	22	12	12	NUM
cuesj-547	143	23	-	-	SYM
cuesj-547	143	24	19	19	NUM
cuesj-547	143	25	model	model	NOUN
cuesj-547	143	26	diagnostic	diagnostic	ADJ
cuesj-547	143	27	checking	check	VERB
cuesj-547	143	28	the	the	DET
cuesj-547	143	29	residuals	residual	NOUN
cuesj-547	143	30	for	for	ADP
cuesj-547	143	31	the	the	DET
cuesj-547	143	32	fitted	fit	VERB
cuesj-547	143	33	model	model	NOUN
cuesj-547	143	34	should	should	AUX
cuesj-547	143	35	be	be	AUX
cuesj-547	143	36	just	just	ADV
cuesj-547	143	37	white	white	ADJ
cuesj-547	143	38	noise	noise	NOUN
cuesj-547	143	39	for	for	ADP
cuesj-547	143	40	forecasting	forecast	VERB
cuesj-547	143	41	a	a	DET
cuesj-547	143	42	good	good	ADJ
cuesj-547	143	43	model	model	NOUN
cuesj-547	143	44	;	;	PUNCT
cuesj-547	143	45	in	in	ADP
cuesj-547	143	46	other	other	ADJ
cuesj-547	143	47	words	word	NOUN
cuesj-547	143	48	,	,	PUNCT
cuesj-547	143	49	the	the	DET
cuesj-547	143	50	chosen	choose	VERB
cuesj-547	143	51	model	model	NOUN
cuesj-547	143	52	has	have	AUX
cuesj-547	143	53	exhausted	exhaust	VERB
cuesj-547	143	54	the	the	DET
cuesj-547	143	55	whole	whole	ADJ
cuesj-547	143	56	behavior	behavior	NOUN
cuesj-547	143	57	of	of	ADP
cuesj-547	143	58	the	the	DET
cuesj-547	143	59	series	series	NOUN
cuesj-547	143	60	.	.	PUNCT
cuesj-547	144	1	as	as	ADP
cuesj-547	144	2	a	a	DET
cuesj-547	144	3	result	result	NOUN
cuesj-547	144	4	,	,	PUNCT
cuesj-547	144	5	we	we	PRON
cuesj-547	144	6	compute	compute	VERB
cuesj-547	144	7	and	and	CCONJ
cuesj-547	144	8	plot	plot	VERB
cuesj-547	144	9	the	the	DET
cuesj-547	144	10	acf	acf	NOUN
cuesj-547	144	11	and	and	CCONJ
cuesj-547	144	12	pacf	pacf	NOUN
cuesj-547	144	13	of	of	ADP
cuesj-547	144	14	the	the	DET
cuesj-547	144	15	residuals	residual	NOUN
cuesj-547	144	16	;	;	PUNCT
cuesj-547	144	17	we	we	PRON
cuesj-547	144	18	want	want	VERB
cuesj-547	144	19	to	to	PART
cuesj-547	144	20	find	find	VERB
cuesj-547	144	21	no	no	DET
cuesj-547	144	22	significant	significant	ADJ
cuesj-547	144	23	acf	acf	NOUN
cuesj-547	144	24	or	or	CCONJ
cuesj-547	144	25	pacf	pacf	NOUN
cuesj-547	144	26	.	.	PUNCT
cuesj-547	145	1	furthermore	furthermore	ADV
cuesj-547	145	2	,	,	PUNCT
cuesj-547	145	3	the	the	DET
cuesj-547	145	4	fitted	fit	VERB
cuesj-547	145	5	model	model	NOUN
cuesj-547	145	6	should	should	AUX
cuesj-547	145	7	accurately	accurately	ADV
cuesj-547	145	8	predict	predict	VERB
cuesj-547	145	9	the	the	DET
cuesj-547	145	10	future	future	NOUN
cuesj-547	145	11	.	.	PUNCT
cuesj-547	146	1	autocorrelation	autocorrelation	NOUN
cuesj-547	146	2	and	and	CCONJ
cuesj-547	146	3	partial	partial	ADJ
cuesj-547	146	4	autocorrelation	autocorrelation	NOUN
cuesj-547	146	5	of	of	ADP
cuesj-547	146	6	residual	residual	ADJ
cuesj-547	146	7	test	test	NOUN
cuesj-547	146	8	the	the	DET
cuesj-547	146	9	residual	residual	ADJ
cuesj-547	146	10	acf	acf	NOUN
cuesj-547	146	11	and	and	CCONJ
cuesj-547	146	12	pacf	pacf	NOUN
cuesj-547	146	13	of	of	ADP
cuesj-547	146	14	the	the	DET
cuesj-547	146	15	models	model	NOUN
cuesj-547	146	16	that	that	PRON
cuesj-547	146	17	we	we	PRON
cuesj-547	146	18	develop	develop	VERB
cuesj-547	146	19	will	will	AUX
cuesj-547	146	20	be	be	AUX
cuesj-547	146	21	checked	check	VERB
cuesj-547	146	22	.	.	PUNCT
cuesj-547	147	1	also	also	ADV
cuesj-547	147	2	,	,	PUNCT
cuesj-547	147	3	the	the	DET
cuesj-547	147	4	model	model	NOUN
cuesj-547	147	5	needs	need	VERB
cuesj-547	147	6	to	to	PART
cuesj-547	147	7	pass	pass	VERB
cuesj-547	147	8	the	the	DET
cuesj-547	147	9	test	test	NOUN
cuesj-547	147	10	for	for	ADP
cuesj-547	147	11	randomness	randomness	NOUN
cuesj-547	147	12	of	of	ADP
cuesj-547	147	13	the	the	DET
cuesj-547	147	14	residuals	residual	NOUN
cuesj-547	147	15	to	to	PART
cuesj-547	147	16	prove	prove	VERB
cuesj-547	147	17	that	that	SCONJ
cuesj-547	147	18	the	the	DET
cuesj-547	147	19	model	model	NOUN
cuesj-547	147	20	chosen	choose	VERB
cuesj-547	147	21	has	have	AUX
cuesj-547	147	22	exhausted	exhaust	VERB
cuesj-547	147	23	the	the	DET
cuesj-547	147	24	data	datum	NOUN
cuesj-547	147	25	and	and	CCONJ
cuesj-547	147	26	that	that	SCONJ
cuesj-547	147	27	there	there	PRON
cuesj-547	147	28	are	be	VERB
cuesj-547	147	29	no	no	DET
cuesj-547	147	30	significant	significant	ADJ
cuesj-547	147	31	remaining	remain	VERB
cuesj-547	147	32	to	to	PART
cuesj-547	147	33	be	be	AUX
cuesj-547	147	34	explained	explain	VERB
cuesj-547	147	35	in	in	ADP
cuesj-547	147	36	the	the	DET
cuesj-547	147	37	data	datum	NOUN
cuesj-547	147	38	.	.	PUNCT
cuesj-547	148	1	after	after	SCONJ
cuesj-547	148	2	the	the	DET
cuesj-547	148	3	model	model	NOUN
cuesj-547	148	4	diagnostics	diagnostic	NOUN
cuesj-547	148	5	figure	figure	VERB
cuesj-547	148	6	5	5	NUM
cuesj-547	148	7	:	:	PUNCT
cuesj-547	148	8	acf	acf	NOUN
cuesj-547	148	9	and	and	CCONJ
cuesj-547	148	10	pacf	pacf	NOUN
cuesj-547	148	11	of	of	ADP
cuesj-547	148	12	exchange	exchange	NOUN
cuesj-547	148	13	rate	rate	NOUN
cuesj-547	148	14	time	time	NOUN
cuesj-547	148	15	series	series	PROPN
cuesj-547	148	16	after	after	ADP
cuesj-547	148	17	non	non	ADJ
cuesj-547	148	18	-	-	ADJ
cuesj-547	148	19	seasonal	seasonal	ADJ
cuesj-547	148	20	differencing	differencing	NOUN
cuesj-547	148	21	of	of	ADP
cuesj-547	148	22	order	order	NOUN
cuesj-547	148	23	one	one	NUM
cuesj-547	148	24	table	table	NOUN
cuesj-547	148	25	6	6	NUM
cuesj-547	148	26	:	:	PUNCT
cuesj-547	148	27	estimated	estimate	VERB
cuesj-547	148	28	partial	partial	ADJ
cuesj-547	148	29	autocorrelations	autocorrelation	NOUN
cuesj-547	148	30	for	for	ADP
cuesj-547	148	31	adjusted	adjusted	ADJ
cuesj-547	148	32	exchange	exchange	NOUN
cuesj-547	148	33	rate	rate	NOUN
cuesj-547	148	34	usd	usd	PROPN
cuesj-547	148	35	/	/	SYM
cuesj-547	148	36	iqd	iqd	NOUN
cuesj-547	148	37	lag	lag	NOUN
cuesj-547	148	38	partial	partial	ADJ
cuesj-547	148	39	autocorrelation	autocorrelation	NOUN
cuesj-547	148	40	standard	standard	NOUN
cuesj-547	148	41	.	.	PUNCT
cuesj-547	149	1	error	error	NOUN
cuesj-547	149	2	lower	low	ADJ
cuesj-547	149	3	95.0%probability	95.0%probability	NOUN
cuesj-547	149	4	.	.	PUNCT
cuesj-547	150	1	limit	limit	VERB
cuesj-547	150	2	upper	upper	ADJ
cuesj-547	150	3	95.0%probability	95.0%probability	NOUN
cuesj-547	150	4	.	.	PUNCT
cuesj-547	151	1	limit	limit	VERB
cuesj-547	151	2	1	1	NUM
cuesj-547	151	3	0.260945	0.260945	NUM
cuesj-547	151	4	0.0870388	0.0870388	NUM
cuesj-547	151	5	-0.170593	-0.170593	NOUN
cuesj-547	151	6	0.170593	0.170593	NUM
cuesj-547	151	7	2	2	NUM
cuesj-547	151	8	0.154285	0.154285	NUM
cuesj-547	151	9	0.0870388	0.0870388	NUM
cuesj-547	151	10	-0.170593	-0.170593	NOUN
cuesj-547	152	1	0.170593	0.170593	NUM
cuesj-547	152	2	3	3	NUM
cuesj-547	152	3	0.112343	0.112343	NUM
cuesj-547	152	4	0.0870388	0.0870388	NUM
cuesj-547	152	5	-0.170593	-0.170593	NOUN
cuesj-547	152	6	0.170593	0.170593	NUM
cuesj-547	152	7	4	4	NUM
cuesj-547	152	8	0.0880657	0.0880657	NUM
cuesj-547	152	9	0.0870388	0.0870388	NUM
cuesj-547	152	10	-0.170593	-0.170593	NOUN
cuesj-547	152	11	0.170593	0.170593	NUM
cuesj-547	152	12	5	5	NUM
cuesj-547	152	13	0.0712356	0.0712356	NUM
cuesj-547	152	14	0.0870388	0.0870388	NUM
cuesj-547	152	15	-0.170593	-0.170593	NOUN
cuesj-547	152	16	0.170593	0.170593	NUM
cuesj-547	152	17	6	6	NUM
cuesj-547	152	18	0.0682761	0.0682761	NUM
cuesj-547	152	19	0.0870388	0.0870388	NUM
cuesj-547	152	20	-0.170593	-0.170593	NOUN
cuesj-547	152	21	0.170593	0.170593	NUM
cuesj-547	152	22	7	7	NUM
cuesj-547	152	23	0.0702673	0.0702673	NUM
cuesj-547	152	24	0.0870388	0.0870388	NUM
cuesj-547	152	25	-0.170593	-0.170593	NOUN
cuesj-547	152	26	0.170593	0.170593	NUM
cuesj-547	152	27	8	8	NUM
cuesj-547	152	28	0.0654201	0.0654201	NUM
cuesj-547	152	29	0.0870388	0.0870388	NUM
cuesj-547	152	30	-0.170593	-0.170593	NOUN
cuesj-547	152	31	0.170593	0.170593	NUM
cuesj-547	152	32	9	9	NUM
cuesj-547	152	33	0.0633015	0.0633015	NUM
cuesj-547	152	34	0.0870388	0.0870388	NUM
cuesj-547	152	35	-0.170593	-0.170593	X
cuesj-547	153	1	0.170593	0.170593	NUM
cuesj-547	153	2	10	10	NUM
cuesj-547	153	3	0.0712627	0.0712627	NUM
cuesj-547	153	4	0.0870388	0.0870388	NUM
cuesj-547	153	5	-0.170593	-0.170593	NOUN
cuesj-547	153	6	0.170593	0.170593	NUM
cuesj-547	153	7	11	11	NUM
cuesj-547	153	8	0.073625	0.073625	NUM
cuesj-547	153	9	0.0870388	0.0870388	NUM
cuesj-547	153	10	-0.170593	-0.170593	NOUN
cuesj-547	153	11	0.170593	0.170593	NUM
cuesj-547	153	12	12	12	NUM
cuesj-547	153	13	0.0458525	0.0458525	NUM
cuesj-547	153	14	0.0870388	0.0870388	NUM
cuesj-547	153	15	-0.170593	-0.170593	NOUN
cuesj-547	153	16	0.170593	0.170593	NUM
cuesj-547	153	17	13	13	NUM
cuesj-547	153	18	0.0129112	0.0129112	NUM
cuesj-547	153	19	0.0870388	0.0870388	NUM
cuesj-547	153	20	-0.170593	-0.170593	NOUN
cuesj-547	153	21	0.170593	0.170593	NUM
cuesj-547	153	22	14	14	NUM
cuesj-547	153	23	0.00989309	0.00989309	NUM
cuesj-547	153	24	0.0870388	0.0870388	NUM
cuesj-547	153	25	-0.170593	-0.170593	NOUN
cuesj-547	153	26	0.170593	0.170593	NUM
cuesj-547	153	27	15	15	NUM
cuesj-547	153	28	0.0141497	0.0141497	NUM
cuesj-547	153	29	0.0870388	0.0870388	NUM
cuesj-547	153	30	-0.170593	-0.170593	NOUN
cuesj-547	153	31	0.170593	0.170593	NUM
cuesj-547	153	32	16	16	NUM
cuesj-547	153	33	0.0192469	0.0192469	NUM
cuesj-547	153	34	0.0870388	0.0870388	NUM
cuesj-547	153	35	-0.170593	-0.170593	NOUN
cuesj-547	153	36	0.170593	0.170593	NUM
cuesj-547	153	37	17	17	NUM
cuesj-547	153	38	0.0192278	0.0192278	NUM
cuesj-547	153	39	0.0870388	0.0870388	NUM
cuesj-547	153	40	-0.170593	-0.170593	NOUN
cuesj-547	153	41	0.170593	0.170593	NUM
cuesj-547	153	42	18	18	NUM
cuesj-547	153	43	0.0242387	0.0242387	NUM
cuesj-547	153	44	0.0870388	0.0870388	NUM
cuesj-547	153	45	-0.170593	-0.170593	NOUN
cuesj-547	153	46	0.170593	0.170593	NUM
cuesj-547	153	47	19	19	NUM
cuesj-547	153	48	0.0214791	0.0214791	NUM
cuesj-547	153	49	0.0870388	0.0870388	NUM
cuesj-547	153	50	-0.170593	-0.170593	NOUN
cuesj-547	153	51	0.170593	0.170593	NUM
cuesj-547	153	52	20	20	NUM
cuesj-547	153	53	0.00718463	0.00718463	NUM
cuesj-547	153	54	0.0870388	0.0870388	NUM
cuesj-547	153	55	-0.170593	-0.170593	NOUN
cuesj-547	153	56	0.170593	0.170593	NUM
cuesj-547	153	57	21	21	NUM
cuesj-547	153	58	0.0199373	0.0199373	NUM
cuesj-547	153	59	0.0870388	0.0870388	NUM
cuesj-547	153	60	-0.170593	-0.170593	NOUN
cuesj-547	153	61	0.170593	0.170593	NUM
cuesj-547	153	62	22	22	NUM
cuesj-547	153	63	0.0126535	0.0126535	NUM
cuesj-547	153	64	0.0870388	0.0870388	NUM
cuesj-547	153	65	-0.170593	-0.170593	NOUN
cuesj-547	153	66	0.170593	0.170593	NUM
cuesj-547	153	67	23	23	NUM
cuesj-547	153	68	0.00311673	0.00311673	NUM
cuesj-547	153	69	0.0870388	0.0870388	NUM
cuesj-547	153	70	-0.170593	-0.170593	NOUN
cuesj-547	153	71	0.170593	0.170593	NUM
cuesj-547	153	72	24	24	NUM
cuesj-547	153	73	-0.00737107	-0.00737107	NOUN
cuesj-547	153	74	0.0870388	0.0870388	NUM
cuesj-547	153	75	-0.170593	-0.170593	NOUN
cuesj-547	153	76	0.170593	0.170593	NUM
cuesj-547	153	77	table	table	NOUN
cuesj-547	153	78	7	7	NUM
cuesj-547	153	79	:	:	PUNCT
cuesj-547	153	80	evaluation	evaluation	NOUN
cuesj-547	153	81	of	of	ADP
cuesj-547	153	82	arima	arima	PROPN
cuesj-547	153	83	models	model	NOUN
cuesj-547	153	84	no	no	INTJ
cuesj-547	153	85	.	.	PUNCT
cuesj-547	153	86	model	model	PROPN
cuesj-547	153	87	rmse	rmse	PROPN
cuesj-547	153	88	mae	mae	PROPN
cuesj-547	153	89	1	1	PROPN
cuesj-547	153	90	arima	arima	NOUN
cuesj-547	153	91	(	(	PUNCT
cuesj-547	153	92	1,1,0	1,1,0	NUM
cuesj-547	153	93	)	)	PUNCT
cuesj-547	153	94	(	(	PUNCT
cuesj-547	153	95	2,1,2)12	2,1,2)12	NUM
cuesj-547	153	96	27.219	27.219	NUM
cuesj-547	153	97	7.557	7.557	NUM
cuesj-547	153	98	2	2	NUM
cuesj-547	153	99	arima	arima	NOUN
cuesj-547	153	100	(	(	PUNCT
cuesj-547	153	101	1,1,1	1,1,1	NUM
cuesj-547	153	102	)	)	PUNCT
cuesj-547	153	103	(	(	PUNCT
cuesj-547	153	104	1,0,1)12	1,0,1)12	PROPN
cuesj-547	153	105	25.798	25.798	NUM
cuesj-547	153	106	5.959	5.959	NUM
cuesj-547	153	107	3	3	NUM
cuesj-547	153	108	arima	arima	NOUN
cuesj-547	153	109	(	(	PUNCT
cuesj-547	153	110	1,1,2	1,1,2	NUM
cuesj-547	153	111	)	)	PUNCT
cuesj-547	153	112	(	(	PUNCT
cuesj-547	153	113	2,0,1)12	2,0,1)12	NUM
cuesj-547	153	114	25.717	25.717	NUM
cuesj-547	153	115	6.122	6.122	NUM
cuesj-547	153	116	4	4	NUM
cuesj-547	153	117	arima	arima	NOUN
cuesj-547	153	118	(	(	PUNCT
cuesj-547	153	119	1,1,2	1,1,2	NUM
cuesj-547	153	120	)	)	PUNCT
cuesj-547	153	121	(	(	PUNCT
cuesj-547	153	122	1,0,1)12	1,0,1)12	PROPN
cuesj-547	153	123	25.615	25.615	NUM
cuesj-547	153	124	6.121	6.121	NUM
cuesj-547	153	125	5	5	NUM
cuesj-547	153	126	arima	arima	NOUN
cuesj-547	153	127	(	(	PUNCT
cuesj-547	153	128	2,1,2	2,1,2	NUM
cuesj-547	153	129	)	)	PUNCT
cuesj-547	153	130	(	(	PUNCT
cuesj-547	153	131	2,0,1)12	2,0,1)12	NUM
cuesj-547	153	132	25.845	25.845	NUM
cuesj-547	153	133	6.020	6.020	NUM
cuesj-547	153	134	6	6	NUM
cuesj-547	153	135	arima	arima	NOUN
cuesj-547	153	136	(	(	PUNCT
cuesj-547	153	137	0,1,1	0,1,1	NUM
cuesj-547	153	138	)	)	PUNCT
cuesj-547	153	139	(	(	PUNCT
cuesj-547	153	140	1,0,1)12	1,0,1)12	PROPN
cuesj-547	153	141	25.698	25.698	NUM
cuesj-547	153	142	5.965	5.965	NUM
cuesj-547	153	143	7	7	NUM
cuesj-547	153	144	arima	arima	NOUN
cuesj-547	153	145	(	(	PUNCT
cuesj-547	153	146	0,1,1)12	0,1,1)12	NOUN
cuesj-547	153	147	25.549	25.549	NUM
cuesj-547	153	148	5.733	5.733	NUM
cuesj-547	153	149	8	8	NUM
cuesj-547	153	150	arima	arima	NOUN
cuesj-547	153	151	(	(	PUNCT
cuesj-547	153	152	1,1,1)12	1,1,1)12	PROPN
cuesj-547	153	153	25.648	25.648	NUM
cuesj-547	153	154	5.736	5.736	NUM
cuesj-547	153	155	9	9	NUM
cuesj-547	153	156	arima	arima	NOUN
cuesj-547	153	157	(	(	PUNCT
cuesj-547	153	158	2,1,0)12	2,1,0)12	NUM
cuesj-547	153	159	25.494	25.494	NUM
cuesj-547	153	160	5.664	5.664	NUM
cuesj-547	153	161	10	10	NUM
cuesj-547	153	162	arima	arima	NOUN
cuesj-547	153	163	(	(	PUNCT
cuesj-547	153	164	1,1,0)12	1,1,0)12	PROPN
cuesj-547	153	165	25.549	25.549	NUM
cuesj-547	153	166	5.729	5.729	NUM
cuesj-547	153	167	mohammed	mohammed	PROPN
cuesj-547	153	168	,	,	PUNCT
cuesj-547	153	169	et	et	PROPN
cuesj-547	153	170	al	al	PROPN
cuesj-547	153	171	.	.	PUNCT
cuesj-547	153	172	:	:	PUNCT
cuesj-547	154	1	time	time	NOUN
cuesj-547	154	2	series	series	PROPN
cuesj-547	154	3	forecasting	forecasting	NOUN
cuesj-547	154	4	using	use	VERB
cuesj-547	154	5	arima	arima	PROPN
cuesj-547	154	6	model	model	NOUN
cuesj-547	154	7	18	18	NUM
cuesj-547	154	8	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-547	154	9	cuesj	cuesj	ADJ
cuesj-547	154	10	2022	2022	NUM
cuesj-547	154	11	,	,	PUNCT
cuesj-547	154	12	6	6	NUM
cuesj-547	154	13	(	(	PUNCT
cuesj-547	154	14	1	1	NUM
cuesj-547	154	15	):	):	PUNCT
cuesj-547	154	16	12	12	NUM
cuesj-547	154	17	-	-	SYM
cuesj-547	154	18	19	19	NUM
cuesj-547	154	19	process	process	NOUN
cuesj-547	154	20	,	,	PUNCT
cuesj-547	154	21	we	we	PRON
cuesj-547	154	22	can	can	AUX
cuesj-547	154	23	do	do	VERB
cuesj-547	154	24	further	further	ADJ
cuesj-547	154	25	forecasts	forecast	NOUN
cuesj-547	154	26	.	.	PUNCT
cuesj-547	155	1	plots	plot	NOUN
cuesj-547	155	2	are	be	AUX
cuesj-547	155	3	displayed	display	VERB
cuesj-547	155	4	in	in	ADP
cuesj-547	155	5	the	the	DET
cuesj-547	155	6	figure	figure	NOUN
cuesj-547	155	7	6	6	NUM
cuesj-547	155	8	series	series	NOUN
cuesj-547	155	9	.	.	PUNCT
cuesj-547	156	1	goodness	goodness	NOUN
cuesj-547	156	2	of	of	ADP
cuesj-547	156	3	fit	fit	ADJ
cuesj-547	156	4	test	test	NOUN
cuesj-547	156	5	it	it	PRON
cuesj-547	156	6	is	be	AUX
cuesj-547	156	7	possible	possible	ADJ
cuesj-547	156	8	to	to	PART
cuesj-547	156	9	know	know	VERB
cuesj-547	156	10	the	the	DET
cuesj-547	156	11	adequate	adequate	ADJ
cuesj-547	156	12	model	model	NOUN
cuesj-547	156	13	arima	arima	PROPN
cuesj-547	156	14	(	(	PUNCT
cuesj-547	156	15	2,1,0	2,1,0	NUM
cuesj-547	156	16	)	)	PUNCT
cuesj-547	156	17	for	for	ADP
cuesj-547	156	18	the	the	DET
cuesj-547	156	19	exchange	exchange	NOUN
cuesj-547	156	20	rate	rate	NOUN
cuesj-547	156	21	usd	usd	PROPN
cuesj-547	156	22	/	/	SYM
cuesj-547	156	23	iqd	iqd	NOUN
cuesj-547	156	24	time	time	NOUN
cuesj-547	156	25	series	series	PROPN
cuesj-547	156	26	repeatedly	repeatedly	ADV
cuesj-547	156	27	using	use	VERB
cuesj-547	156	28	the	the	DET
cuesj-547	156	29	box	box	PROPN
cuesj-547	156	30	and	and	CCONJ
cuesj-547	156	31	pierce	pierce	PROPN
cuesj-547	156	32	test	test	NOUN
cuesj-547	156	33	.	.	PUNCT
cuesj-547	157	1	the	the	DET
cuesj-547	157	2	null	null	ADJ
cuesj-547	157	3	hypothesis	hypothesis	NOUN
cuesj-547	157	4	is	be	AUX
cuesj-547	157	5	not	not	PART
cuesj-547	157	6	rejected	reject	VERB
cuesj-547	157	7	because	because	SCONJ
cuesj-547	157	8	the	the	DET
cuesj-547	157	9	p	p	NOUN
cuesj-547	157	10	-	-	PUNCT
cuesj-547	157	11	value	value	NOUN
cuesj-547	157	12	is	be	AUX
cuesj-547	157	13	more	more	ADJ
cuesj-547	157	14	than	than	ADP
cuesj-547	157	15	0.05	0.05	NUM
cuesj-547	157	16	and	and	CCONJ
cuesj-547	157	17	the	the	DET
cuesj-547	157	18	model	model	NOUN
cuesj-547	157	19	above	above	ADV
cuesj-547	157	20	is	be	AUX
cuesj-547	157	21	acceptable	acceptable	ADJ
cuesj-547	157	22	,	,	PUNCT
cuesj-547	157	23	implying	imply	VERB
cuesj-547	157	24	that	that	SCONJ
cuesj-547	157	25	the	the	DET
cuesj-547	157	26	residuals	residual	NOUN
cuesj-547	157	27	are	be	AUX
cuesj-547	157	28	also	also	ADV
cuesj-547	157	29	random	random	ADJ
cuesj-547	157	30	and	and	CCONJ
cuesj-547	157	31	that	that	SCONJ
cuesj-547	157	32	the	the	DET
cuesj-547	157	33	forecast	forecast	NOUN
cuesj-547	157	34	will	will	AUX
cuesj-547	157	35	be	be	AUX
cuesj-547	157	36	adequate	adequate	ADJ
cuesj-547	157	37	and	and	CCONJ
cuesj-547	157	38	dependable	dependable	ADJ
cuesj-547	157	39	,	,	PUNCT
cuesj-547	157	40	as	as	SCONJ
cuesj-547	157	41	shown	show	VERB
cuesj-547	157	42	in	in	ADP
cuesj-547	157	43	table	table	NOUN
cuesj-547	157	44	9	9	NUM
cuesj-547	157	45	.	.	PUNCT
cuesj-547	158	1	forecasting	forecasting	NOUN
cuesj-547	158	2	after	after	ADP
cuesj-547	158	3	diagnosing	diagnose	VERB
cuesj-547	158	4	the	the	DET
cuesj-547	158	5	fitted	fit	VERB
cuesj-547	158	6	model	model	NOUN
cuesj-547	158	7	and	and	CCONJ
cuesj-547	158	8	selected	select	VERB
cuesj-547	158	9	as	as	ADP
cuesj-547	158	10	the	the	DET
cuesj-547	158	11	best	good	ADJ
cuesj-547	158	12	one	one	NUM
cuesj-547	158	13	,	,	PUNCT
cuesj-547	158	14	the	the	DET
cuesj-547	158	15	final	final	ADJ
cuesj-547	158	16	step	step	NOUN
cuesj-547	158	17	comes	come	VERB
cuesj-547	158	18	forward	forward	ADV
cuesj-547	158	19	forecasting	forecasting	NOUN
cuesj-547	158	20	.	.	PUNCT
cuesj-547	159	1	it	it	PRON
cuesj-547	159	2	is	be	AUX
cuesj-547	159	3	time	time	NOUN
cuesj-547	159	4	to	to	PART
cuesj-547	159	5	use	use	VERB
cuesj-547	159	6	the	the	DET
cuesj-547	159	7	specified	specified	ADJ
cuesj-547	159	8	model	model	NOUN
cuesj-547	159	9	for	for	ADP
cuesj-547	159	10	forecasting	forecast	VERB
cuesj-547	159	11	future	future	ADJ
cuesj-547	159	12	values	value	NOUN
cuesj-547	159	13	starting	start	VERB
cuesj-547	159	14	from	from	ADP
cuesj-547	159	15	january	january	PROPN
cuesj-547	159	16	2021	2021	NUM
cuesj-547	159	17	until	until	ADP
cuesj-547	159	18	december	december	PROPN
cuesj-547	159	19	2022	2022	NUM
cuesj-547	159	20	,	,	PUNCT
cuesj-547	159	21	as	as	SCONJ
cuesj-547	159	22	shown	show	VERB
cuesj-547	159	23	in	in	ADP
cuesj-547	159	24	table	table	NOUN
cuesj-547	159	25	10	10	NUM
cuesj-547	159	26	and	and	CCONJ
cuesj-547	159	27	figure	figure	VERB
cuesj-547	159	28	7	7	NUM
cuesj-547	159	29	.	.	PUNCT
cuesj-547	159	30	table	table	NOUN
cuesj-547	159	31	8	8	NUM
cuesj-547	159	32	:	:	PUNCT
cuesj-547	159	33	function	function	NOUN
cuesj-547	159	34	model	model	NOUN
cuesj-547	159	35	,	,	PUNCT
cuesj-547	159	36	parameter	parameter	NOUN
cuesj-547	159	37	estimate	estimate	NOUN
cuesj-547	159	38	for	for	ADP
cuesj-547	159	39	series	series	PROPN
cuesj-547	159	40	model	model	PROPN
cuesj-547	159	41	series	series	PROPN
cuesj-547	159	42	model	model	PROPN
cuesj-547	159	43	function	function	PROPN
cuesj-547	159	44	model	model	PROPN
cuesj-547	159	45	parameter	parameter	PROPN
cuesj-547	159	46	estimate	estimate	NOUN
cuesj-547	159	47	θ1	θ1	PROPN
cuesj-547	159	48	�	�	PROPN
cuesj-547	159	49	θ2	θ2	PROPN
cuesj-547	159	50	�	�	PROPN
cuesj-547	159	51	∅1	∅1	VERB
cuesj-547	159	52	�	�	PROPN
cuesj-547	159	53	∅2	∅2	PROPN
cuesj-547	159	54	�	�	PROPN
cuesj-547	159	55	θ1	θ1	PROPN
cuesj-547	159	56	�	�	PROPN
cuesj-547	159	57	θ2	θ2	PROPN
cuesj-547	159	58	�	�	PROPN
cuesj-547	159	59	φ1	φ1	PROPN
cuesj-547	159	60	�	�	PROPN
cuesj-547	159	61	φ2	φ2	PROPN
cuesj-547	159	62	�	�	PROPN
cuesj-547	159	63	exchange	exchange	PROPN
cuesj-547	159	64	rate	rate	NOUN
cuesj-547	159	65	arima	arima	PROPN
cuesj-547	159	66	(	(	PUNCT
cuesj-547	159	67	2,1,0)12	2,1,0)12	NUM
cuesj-547	159	68	−	−	NOUN
cuesj-547	159	69	−∆	−∆	NOUN
cuesj-547	159	70	=	=	SYM
cuesj-547	159	71	∅	∅	NOUN
cuesj-547	159	72	∆	∆	X
cuesj-547	159	73	+	+	CCONJ
cuesj-547	159	74	∅	∅	NOUN
cuesj-547	159	75	∆	∆	X
cuesj-547	160	1	+1	+1	NOUN
cuesj-547	161	1	1	1	NUM
cuesj-547	161	2	2	2	NUM
cuesj-547	161	3	1	1	NUM
cuesj-547	161	4	t	t	NOUN
cuesj-547	161	5	t	t	NOUN
cuesj-547	161	6	t	t	PROPN
cuesj-547	161	7	tz	tz	PROPN
cuesj-547	161	8	z	z	PROPN
cuesj-547	161	9	z	z	NOUN
cuesj-547	161	10	e	e	NOUN
cuesj-547	161	11	-0.28	-0.28	NUM
cuesj-547	161	12	-0.01	-0.01	NUM
cuesj-547	161	13	table	table	NOUN
cuesj-547	161	14	9	9	NUM
cuesj-547	161	15	:	:	PUNCT
cuesj-547	161	16	hypothesis	hypothesis	NOUN
cuesj-547	161	17	and	and	CCONJ
cuesj-547	161	18	p	p	NOUN
cuesj-547	161	19	-	-	PUNCT
cuesj-547	161	20	value	value	NOUN
cuesj-547	161	21	for	for	ADP
cuesj-547	161	22	the	the	DET
cuesj-547	161	23	residual	residual	ADJ
cuesj-547	161	24	series	series	PROPN
cuesj-547	161	25	model	model	PROPN
cuesj-547	161	26	series	series	PROPN
cuesj-547	161	27	model	model	PROPN
cuesj-547	161	28	hypothesis	hypothesis	NOUN
cuesj-547	161	29	p	p	NOUN
cuesj-547	161	30	-	-	PUNCT
cuesj-547	161	31	value	value	NOUN
cuesj-547	161	32	exchange	exchange	NOUN
cuesj-547	161	33	rate	rate	NOUN
cuesj-547	161	34	arima	arima	PROPN
cuesj-547	161	35	(	(	PUNCT
cuesj-547	161	36	2,1,0)12	2,1,0)12	NUM
cuesj-547	161	37	null	null	ADJ
cuesj-547	161	38	hypothesis	hypothesis	NOUN
cuesj-547	161	39	(	(	PUNCT
cuesj-547	161	40	h0	h0	PROPN
cuesj-547	161	41	):	):	PUNCT
cuesj-547	161	42	adequate	adequate	ADJ
cuesj-547	161	43	model	model	NOUN
cuesj-547	161	44	alternative	alternative	ADJ
cuesj-547	161	45	hypothesis	hypothesis	NOUN
cuesj-547	161	46	(	(	PUNCT
cuesj-547	161	47	h1	h1	PROPN
cuesj-547	161	48	):	):	PUNCT
cuesj-547	161	49	not	not	PART
cuesj-547	161	50	adequate	adequate	ADJ
cuesj-547	161	51	model	model	NOUN
cuesj-547	161	52	0.241	0.241	NUM
cuesj-547	161	53	table	table	NOUN
cuesj-547	161	54	10	10	NUM
cuesj-547	161	55	:	:	PUNCT
cuesj-547	161	56	forecasting	forecast	VERB
cuesj-547	161	57	monthly	monthly	ADJ
cuesj-547	161	58	average	average	ADJ
cuesj-547	161	59	exchange	exchange	NOUN
cuesj-547	161	60	rate	rate	NOUN
cuesj-547	161	61	usd	usd	PROPN
cuesj-547	161	62	/	/	SYM
cuesj-547	161	63	iqd	iqd	PROPN
cuesj-547	161	64	series	series	NOUN
cuesj-547	161	65	for	for	ADP
cuesj-547	161	66	the	the	DET
cuesj-547	161	67	24	24	NUM
cuesj-547	161	68	months	month	NOUN
cuesj-547	161	69	using	use	VERB
cuesj-547	161	70	arima	arima	PROPN
cuesj-547	161	71	(	(	PUNCT
cuesj-547	161	72	2,1,0	2,1,0	NUM
cuesj-547	161	73	)	)	PUNCT
cuesj-547	161	74	12	12	NUM
cuesj-547	161	75	model	model	NOUN
cuesj-547	161	76	years	year	NOUN
cuesj-547	161	77	months	month	NOUN
cuesj-547	161	78	forecast	forecast	PROPN
cuesj-547	161	79	lcl	lcl	PROPN
cuesj-547	161	80	ucl	ucl	PROPN
cuesj-547	161	81	2021	2021	NUM
cuesj-547	161	82	january	january	PROPN
cuesj-547	161	83	1456.25	1456.25	NUM
cuesj-547	161	84	1405.81	1405.81	NUM
cuesj-547	161	85	1506.69	1506.69	NUM
cuesj-547	161	86	february	february	PROPN
cuesj-547	161	87	1379.31	1379.31	NUM
cuesj-547	161	88	1308.39	1308.39	NUM
cuesj-547	161	89	1450.24	1450.24	NUM
cuesj-547	161	90	march	march	PROPN
cuesj-547	161	91	1380.98	1380.98	NUM
cuesj-547	161	92	1301.65	1301.65	NUM
cuesj-547	161	93	1460.32	1460.32	NUM
cuesj-547	161	94	april	april	PROPN
cuesj-547	161	95	1402.79	1402.79	NUM
cuesj-547	161	96	1315.71	1315.71	NUM
cuesj-547	161	97	1489.86	1489.86	NUM
cuesj-547	161	98	may	may	PROPN
cuesj-547	161	99	1402.06	1402.06	NUM
cuesj-547	161	100	1306.26	1306.26	NUM
cuesj-547	161	101	1497.86	1497.86	NUM
cuesj-547	161	102	june	june	PROPN
cuesj-547	161	103	1395.88	1395.88	NUM
cuesj-547	161	104	1292.15	1292.15	NUM
cuesj-547	161	105	1499.62	1499.62	NUM
cuesj-547	161	106	july	july	NOUN
cuesj-547	161	107	1396.16	1396.16	NUM
cuesj-547	161	108	1285.46	1285.46	NUM
cuesj-547	161	109	1506.87	1506.87	NUM
cuesj-547	161	110	august	august	PROPN
cuesj-547	161	111	1397.91	1397.91	NUM
cuesj-547	161	112	1280.63	1280.63	NUM
cuesj-547	161	113	1515.19	1515.19	NUM
cuesj-547	161	114	september	september	PROPN
cuesj-547	161	115	1397.81	1397.81	NUM
cuesj-547	161	116	1274.21	1274.21	NUM
cuesj-547	161	117	1521.41	1521.41	NUM
cuesj-547	161	118	october	october	PROPN
cuesj-547	161	119	1397.32	1397.32	NUM
cuesj-547	161	120	1267.71	1267.71	NUM
cuesj-547	161	121	1526.93	1526.93	NUM
cuesj-547	161	122	november	november	PROPN
cuesj-547	161	123	1397.35	1397.35	NUM
cuesj-547	161	124	1262.02	1262.02	NUM
cuesj-547	161	125	1532.68	1532.68	NUM
cuesj-547	161	126	december	december	PROPN
cuesj-547	161	127	1397.49	1397.49	NUM
cuesj-547	161	128	1256.67	1256.67	NUM
cuesj-547	161	129	1538.31	1538.31	NUM
cuesj-547	161	130	2022	2022	NUM
cuesj-547	161	131	january	january	PROPN
cuesj-547	161	132	1397.48	1397.48	NUM
cuesj-547	161	133	1251.38	1251.38	NUM
cuesj-547	161	134	1543.58	1543.58	NUM
cuesj-547	161	135	february	february	PROPN
cuesj-547	161	136	1397.44	1397.44	NUM
cuesj-547	161	137	1246.23	1246.23	NUM
cuesj-547	161	138	1548.65	1548.65	NUM
cuesj-547	161	139	march	march	PROPN
cuesj-547	161	140	1397.44	1397.44	NUM
cuesj-547	161	141	1241.3	1241.3	NUM
cuesj-547	161	142	1553.58	1553.58	NUM
cuesj-547	161	143	april	april	PROPN
cuesj-547	161	144	1397.45	1397.45	NUM
cuesj-547	161	145	1236.53	1236.53	NUM
cuesj-547	161	146	1558.38	1558.38	NUM
cuesj-547	161	147	may	may	PROPN
cuesj-547	161	148	1397.45	1397.45	NUM
cuesj-547	161	149	1231.88	1231.88	NUM
cuesj-547	161	150	1563.02	1563.02	NUM
cuesj-547	161	151	june	june	PROPN
cuesj-547	161	152	1397.45	1397.45	NUM
cuesj-547	161	153	1227.36	1227.36	NUM
cuesj-547	161	154	1567.54	1567.54	NUM
cuesj-547	161	155	july	july	PROPN
cuesj-547	161	156	1397.45	1397.45	NUM
cuesj-547	161	157	1222.96	1222.96	NUM
cuesj-547	161	158	1571.94	1571.94	NUM
cuesj-547	161	159	august	august	PROPN
cuesj-547	161	160	1397.45	1397.45	NUM
cuesj-547	161	161	1218.67	1218.67	NUM
cuesj-547	161	162	1576.24	1576.24	NUM
cuesj-547	161	163	september	september	PROPN
cuesj-547	161	164	1397.45	1397.45	NUM
cuesj-547	161	165	1214.48	1214.48	NUM
cuesj-547	161	166	1580.43	1580.43	NUM
cuesj-547	161	167	october	october	PROPN
cuesj-547	161	168	1397.45	1397.45	NUM
cuesj-547	161	169	1210.38	1210.38	NUM
cuesj-547	161	170	1584.53	1584.53	NUM
cuesj-547	161	171	november	november	PROPN
cuesj-547	161	172	1397.45	1397.45	NUM
cuesj-547	161	173	1206.37	1206.37	NUM
cuesj-547	161	174	1588.54	1588.54	NUM
cuesj-547	161	175	december	december	PROPN
cuesj-547	161	176	1397.45	1397.45	NUM
cuesj-547	161	177	1202.44	1202.44	NUM
cuesj-547	161	178	1592.46	1592.46	NUM
cuesj-547	161	179	mohammed	mohammed	PROPN
cuesj-547	161	180	,	,	PUNCT
cuesj-547	161	181	et	et	PROPN
cuesj-547	161	182	al	al	PROPN
cuesj-547	161	183	.	.	PUNCT
cuesj-547	161	184	:	:	PUNCT
cuesj-547	162	1	time	time	NOUN
cuesj-547	162	2	series	series	PROPN
cuesj-547	162	3	forecasting	forecasting	NOUN
cuesj-547	162	4	using	use	VERB
cuesj-547	162	5	arima	arima	PROPN
cuesj-547	162	6	model	model	NOUN
cuesj-547	162	7	19	19	NUM
cuesj-547	162	8	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-547	162	9	cuesj	cuesj	ADJ
cuesj-547	162	10	2022	2022	NUM
cuesj-547	162	11	,	,	PUNCT
cuesj-547	162	12	6	6	NUM
cuesj-547	162	13	(	(	PUNCT
cuesj-547	162	14	1	1	NUM
cuesj-547	162	15	):	):	PUNCT
cuesj-547	162	16	12	12	NUM
cuesj-547	162	17	-	-	SYM
cuesj-547	162	18	19	19	NUM
cuesj-547	162	19	conclusion	conclusion	NOUN
cuesj-547	162	20	the	the	DET
cuesj-547	162	21	results	result	NOUN
cuesj-547	162	22	of	of	ADP
cuesj-547	162	23	the	the	DET
cuesj-547	162	24	analysis	analysis	NOUN
cuesj-547	162	25	show	show	VERB
cuesj-547	162	26	that	that	SCONJ
cuesj-547	162	27	the	the	DET
cuesj-547	162	28	time	time	NOUN
cuesj-547	162	29	series	series	PROPN
cuesj-547	162	30	data	data	PROPN
cuesj-547	162	31	was	be	AUX
cuesj-547	162	32	not	not	PART
cuesj-547	162	33	stationary	stationary	ADJ
cuesj-547	162	34	around	around	ADP
cuesj-547	162	35	the	the	DET
cuesj-547	162	36	mean	mean	NOUN
cuesj-547	162	37	and	and	CCONJ
cuesj-547	162	38	the	the	DET
cuesj-547	162	39	variance	variance	NOUN
cuesj-547	162	40	.	.	PUNCT
cuesj-547	163	1	this	this	PRON
cuesj-547	163	2	means	mean	VERB
cuesj-547	163	3	that	that	SCONJ
cuesj-547	163	4	almost	almost	ADV
cuesj-547	163	5	all	all	DET
cuesj-547	163	6	data	datum	NOUN
cuesj-547	163	7	of	of	ADP
cuesj-547	163	8	this	this	DET
cuesj-547	163	9	kind	kind	NOUN
cuesj-547	163	10	should	should	AUX
cuesj-547	163	11	be	be	AUX
cuesj-547	163	12	different	different	ADJ
cuesj-547	163	13	to	to	PART
cuesj-547	163	14	remove	remove	VERB
cuesj-547	163	15	any	any	DET
cuesj-547	163	16	sort	sort	NOUN
cuesj-547	163	17	of	of	ADP
cuesj-547	163	18	trend	trend	NOUN
cuesj-547	163	19	influence	influence	NOUN
cuesj-547	163	20	on	on	ADP
cuesj-547	163	21	the	the	DET
cuesj-547	163	22	data	datum	NOUN
cuesj-547	163	23	.	.	PUNCT
cuesj-547	164	1	because	because	SCONJ
cuesj-547	164	2	such	such	ADJ
cuesj-547	164	3	series	series	NOUN
cuesj-547	164	4	deal	deal	VERB
cuesj-547	164	5	with	with	ADP
cuesj-547	164	6	metrology	metrology	NOUN
cuesj-547	164	7	,	,	PUNCT
cuesj-547	164	8	fluctuations	fluctuation	NOUN
cuesj-547	164	9	in	in	ADP
cuesj-547	164	10	the	the	DET
cuesj-547	164	11	data	datum	NOUN
cuesj-547	164	12	for	for	ADP
cuesj-547	164	13	monthly	monthly	ADJ
cuesj-547	164	14	us	us	PROPN
cuesj-547	164	15	dollar	dollar	NOUN
cuesj-547	164	16	/	/	SYM
cuesj-547	164	17	iq	iq	PROPN
cuesj-547	164	18	dinar	dinar	PROPN
cuesj-547	164	19	currency	currency	NOUN
cuesj-547	164	20	exchange	exchange	NOUN
cuesj-547	164	21	rates	rate	NOUN
cuesj-547	164	22	are	be	AUX
cuesj-547	164	23	to	to	PART
cuesj-547	164	24	be	be	AUX
cuesj-547	164	25	expected	expect	VERB
cuesj-547	164	26	.	.	PUNCT
cuesj-547	165	1	the	the	DET
cuesj-547	165	2	rmse	rmse	NOUN
cuesj-547	165	3	and	and	CCONJ
cuesj-547	165	4	mae	mae	PROPN
cuesj-547	165	5	are	be	AUX
cuesj-547	165	6	being	be	AUX
cuesj-547	165	7	used	use	VERB
cuesj-547	165	8	to	to	PART
cuesj-547	165	9	select	select	VERB
cuesj-547	165	10	the	the	DET
cuesj-547	165	11	best	good	ADJ
cuesj-547	165	12	model	model	NOUN
cuesj-547	165	13	.	.	PUNCT
cuesj-547	166	1	the	the	DET
cuesj-547	166	2	arima	arima	PROPN
cuesj-547	166	3	model	model	NOUN
cuesj-547	166	4	was	be	AUX
cuesj-547	166	5	found	find	VERB
cuesj-547	166	6	to	to	PART
cuesj-547	166	7	be	be	AUX
cuesj-547	166	8	the	the	DET
cuesj-547	166	9	better	well	ADJ
cuesj-547	166	10	model	model	NOUN
cuesj-547	166	11	for	for	ADP
cuesj-547	166	12	the	the	DET
cuesj-547	166	13	series	series	PROPN
cuesj-547	166	14	data	data	PROPN
cuesj-547	166	15	arima	arima	PROPN
cuesj-547	166	16	(	(	PUNCT
cuesj-547	166	17	2,1,0)12	2,1,0)12	NOUN
cuesj-547	166	18	.	.	PUNCT
cuesj-547	167	1	this	this	PRON
cuesj-547	167	2	is	be	AUX
cuesj-547	167	3	the	the	DET
cuesj-547	167	4	forecasted	forecast	VERB
cuesj-547	167	5	means	mean	NOUN
cuesj-547	167	6	for	for	ADP
cuesj-547	167	7	the	the	DET
cuesj-547	167	8	future	future	NOUN
cuesj-547	167	9	of	of	ADP
cuesj-547	167	10	this	this	DET
cuesj-547	167	11	us	us	PROPN
cuesj-547	167	12	dollar	dollar	NOUN
cuesj-547	167	13	against	against	ADP
cuesj-547	167	14	iq	iq	PROPN
cuesj-547	167	15	dinar	dinar	PROPN
cuesj-547	167	16	time	time	PROPN
cuesj-547	167	17	series	series	PROPN
cuesj-547	167	18	which	which	PRON
cuesj-547	167	19	indicates	indicate	VERB
cuesj-547	167	20	a	a	DET
cuesj-547	167	21	perpetual	perpetual	ADJ
cuesj-547	167	22	increase	increase	NOUN
cuesj-547	167	23	in	in	ADP
cuesj-547	167	24	the	the	DET
cuesj-547	167	25	exchange	exchange	NOUN
cuesj-547	167	26	rate	rate	NOUN
cuesj-547	167	27	.	.	PUNCT
cuesj-547	168	1	references	reference	NOUN
cuesj-547	168	2	1	1	NUM
cuesj-547	168	3	.	.	PUNCT
cuesj-547	168	4	j.	j.	PROPN
cuesj-547	168	5	e.	e.	PROPN
cuesj-547	168	6	buet	buet	PROPN
cuesj-547	168	7	,	,	PUNCT
cuesj-547	168	8	g.	g.	PROPN
cuesj-547	168	9	m.	m.	PROPN
cuesj-547	168	10	barber	barber	PROPN
cuesj-547	168	11	and	and	CCONJ
cuesj-547	168	12	d.	d.	PROPN
cuesj-547	168	13	l.	l.	PROPN
cuesj-547	168	14	rigby	rigby	PROPN
cuesj-547	168	15	.	.	PUNCT
cuesj-547	169	1	elementary	elementary	PROPN
cuesj-547	169	2	statistics	statistic	NOUN
cuesj-547	169	3	for	for	ADP
cuesj-547	169	4	geographers	geographer	NOUN
cuesj-547	169	5	.	.	PUNCT
cuesj-547	170	1	3rd	3rd	ADJ
cuesj-547	170	2	ed	ed	NOUN
cuesj-547	170	3	.	.	PUNCT
cuesj-547	171	1	new	new	PROPN
cuesj-547	171	2	york	york	PROPN
cuesj-547	171	3	:	:	PUNCT
cuesj-547	171	4	the	the	DET
cuesj-547	171	5	guilford	guilford	PROPN
cuesj-547	171	6	press	press	PROPN
cuesj-547	171	7	,	,	PUNCT
cuesj-547	171	8	2009	2009	NUM
cuesj-547	171	9	.	.	PUNCT
cuesj-547	172	1	2	2	NUM
cuesj-547	172	2	.	.	X
cuesj-547	172	3	w.	w.	PROPN
cuesj-547	172	4	a.	a.	PROPN
cuesj-547	172	5	fuller	fuller	PROPN
cuesj-547	172	6	.	.	PUNCT
cuesj-547	173	1	introduction	introduction	NOUN
cuesj-547	173	2	to	to	ADP
cuesj-547	173	3	statistical	statistical	ADJ
cuesj-547	173	4	time	time	NOUN
cuesj-547	173	5	series	series	NOUN
cuesj-547	173	6	.	.	PUNCT
cuesj-547	174	1	2nd	2nd	ADJ
cuesj-547	174	2	ed	ed	NOUN
cuesj-547	174	3	.	.	PUNCT
cuesj-547	175	1	canada	canada	PROPN
cuesj-547	175	2	:	:	PUNCT
cuesj-547	175	3	john	john	PROPN
cuesj-547	175	4	wiley	wiley	PROPN
cuesj-547	175	5	and	and	CCONJ
cuesj-547	175	6	sons	son	NOUN
cuesj-547	175	7	,	,	PUNCT
cuesj-547	175	8	inc	inc	PROPN
cuesj-547	175	9	.	.	PROPN
cuesj-547	175	10	,	,	PUNCT
cuesj-547	175	11	1996	1996	NUM
cuesj-547	175	12	.	.	PUNCT
cuesj-547	176	1	3	3	X
cuesj-547	176	2	.	.	X
cuesj-547	176	3	a.	a.	PROPN
cuesj-547	176	4	k.	k.	PROPN
cuesj-547	176	5	farhan	farhan	PROPN
cuesj-547	176	6	and	and	CCONJ
cuesj-547	176	7	m.	m.	PROPN
cuesj-547	176	8	r.	r.	PROPN
cuesj-547	176	9	fakhir	fakhir	PROPN
cuesj-547	176	10	.	.	PUNCT
cuesj-547	177	1	forecasting	forecast	VERB
cuesj-547	177	2	the	the	DET
cuesj-547	177	3	exchange	exchange	NOUN
cuesj-547	177	4	rates	rate	NOUN
cuesj-547	177	5	of	of	ADP
cuesj-547	177	6	the	the	DET
cuesj-547	177	7	iraqi	iraqi	ADJ
cuesj-547	177	8	dinar	dinar	PROPN
cuesj-547	177	9	against	against	ADP
cuesj-547	177	10	the	the	DET
cuesj-547	177	11	us	us	PROPN
cuesj-547	177	12	dollar	dollar	NOUN
cuesj-547	177	13	using	use	VERB
cuesj-547	177	14	the	the	DET
cuesj-547	177	15	time	time	NOUN
cuesj-547	177	16	series	series	PROPN
cuesj-547	177	17	model	model	PROPN
cuesj-547	177	18	(	(	PUNCT
cuesj-547	177	19	arima	arima	PROPN
cuesj-547	177	20	)	)	PUNCT
cuesj-547	177	21	.	.	PUNCT
cuesj-547	178	1	international	international	ADJ
cuesj-547	178	2	journal	journal	PROPN
cuesj-547	178	3	of	of	ADP
cuesj-547	178	4	engineering	engineering	NOUN
cuesj-547	178	5	and	and	CCONJ
cuesj-547	178	6	management	management	NOUN
cuesj-547	178	7	research	research	NOUN
cuesj-547	178	8	,	,	PUNCT
cuesj-547	178	9	vol	vol	NOUN
cuesj-547	178	10	.	.	PROPN
cuesj-547	178	11	9	9	NUM
cuesj-547	178	12	,	,	PUNCT
cuesj-547	178	13	pp	pp	ADJ
cuesj-547	178	14	.	.	PUNCT
cuesj-547	178	15	2394	2394	NUM
cuesj-547	178	16	-	-	SYM
cuesj-547	178	17	6962	6962	NUM
cuesj-547	178	18	,	,	PUNCT
cuesj-547	178	19	2019	2019	NUM
cuesj-547	178	20	.	.	PUNCT
cuesj-547	179	1	4	4	X
cuesj-547	179	2	.	.	X
cuesj-547	179	3	e.	e.	PROPN
cuesj-547	179	4	p.	p.	PROPN
cuesj-547	179	5	clement	clement	PROPN
cuesj-547	179	6	.	.	PUNCT
cuesj-547	180	1	time	time	PROPN
cuesj-547	180	2	series	series	PROPN
cuesj-547	180	3	approach	approach	NOUN
cuesj-547	180	4	to	to	ADP
cuesj-547	180	5	forecasting	forecasting	NOUN
cuesj-547	180	6	rate	rate	NOUN
cuesj-547	180	7	analysis	analysis	NOUN
cuesj-547	180	8	between	between	ADP
cuesj-547	180	9	nigeria	nigeria	PROPN
cuesj-547	180	10	naira	naira	PROPN
cuesj-547	180	11	and	and	CCONJ
cuesj-547	180	12	the	the	DET
cuesj-547	180	13	u.s	u.s	PROPN
cuesj-547	180	14	dollar	dollar	NOUN
cuesj-547	180	15	.	.	PUNCT
cuesj-547	181	1	international	international	ADJ
cuesj-547	181	2	journal	journal	PROPN
cuesj-547	181	3	of	of	ADP
cuesj-547	181	4	statistics	statistic	NOUN
cuesj-547	181	5	and	and	CCONJ
cuesj-547	181	6	applications	application	NOUN
cuesj-547	181	7	statistics	statistic	NOUN
cuesj-547	181	8	,	,	PUNCT
cuesj-547	181	9	vol	vol	NOUN
cuesj-547	181	10	.	.	PROPN
cuesj-547	181	11	4	4	NUM
cuesj-547	181	12	,	,	PUNCT
cuesj-547	181	13	no	no	INTJ
cuesj-547	181	14	.	.	NOUN
cuesj-547	181	15	1	1	NUM
cuesj-547	181	16	,	,	PUNCT
cuesj-547	181	17	pp	pp	ADJ
cuesj-547	181	18	.	.	PUNCT
cuesj-547	182	1	76	76	NUM
cuesj-547	182	2	-	-	SYM
cuesj-547	182	3	84	84	NUM
cuesj-547	182	4	,	,	PUNCT
cuesj-547	182	5	2014	2014	NUM
cuesj-547	182	6	.	.	PUNCT
cuesj-547	183	1	5	5	NUM
cuesj-547	183	2	.	.	X
cuesj-547	183	3	d.	d.	PROPN
cuesj-547	183	4	h.	h.	PROPN
cuesj-547	183	5	kadir	kadir	PROPN
cuesj-547	183	6	.	.	PUNCT
cuesj-547	184	1	time	time	PROPN
cuesj-547	184	2	series	series	PROPN
cuesj-547	184	3	modeling	modeling	NOUN
cuesj-547	184	4	to	to	PART
cuesj-547	184	5	forecast	forecast	VERB
cuesj-547	184	6	on	on	ADP
cuesj-547	184	7	consuming	consume	VERB
cuesj-547	184	8	electricity	electricity	NOUN
cuesj-547	184	9	:	:	PUNCT
cuesj-547	184	10	a	a	DET
cuesj-547	184	11	case	case	NOUN
cuesj-547	184	12	study	study	NOUN
cuesj-547	184	13	analysis	analysis	NOUN
cuesj-547	184	14	of	of	ADP
cuesj-547	184	15	electrical	electrical	ADJ
cuesj-547	184	16	consumption	consumption	NOUN
cuesj-547	184	17	in	in	ADP
cuesj-547	184	18	erbil	erbil	PROPN
cuesj-547	184	19	city	city	PROPN
cuesj-547	184	20	from	from	ADP
cuesj-547	184	21	2014	2014	NUM
cuesj-547	184	22	to	to	ADP
cuesj-547	184	23	2018	2018	NUM
cuesj-547	184	24	.	.	PUNCT
cuesj-547	185	1	journal	journal	PROPN
cuesj-547	185	2	of	of	ADP
cuesj-547	185	3	al	al	PROPN
cuesj-547	185	4	rafidain	rafidain	PROPN
cuesj-547	185	5	university	university	PROPN
cuesj-547	185	6	college	college	NOUN
cuesj-547	185	7	,	,	PUNCT
cuesj-547	185	8	vol	vol	NOUN
cuesj-547	185	9	.	.	PROPN
cuesj-547	185	10	46	46	NUM
cuesj-547	185	11	,	,	PUNCT
cuesj-547	185	12	pp	pp	ADJ
cuesj-547	185	13	.	.	PUNCT
cuesj-547	186	1	473	473	NUM
cuesj-547	186	2	-	-	NUM
cuesj-547	186	3	485	485	NUM
cuesj-547	186	4	,	,	PUNCT
cuesj-547	186	5	2020	2020	NUM
cuesj-547	186	6	.	.	PUNCT
cuesj-547	187	1	6	6	NUM
cuesj-547	187	2	.	.	PUNCT
cuesj-547	187	3	g.	g.	PROPN
cuesj-547	187	4	e.	e.	PROPN
cuesj-547	187	5	p.	p.	PROPN
cuesj-547	187	6	box	box	PROPN
cuesj-547	187	7	and	and	CCONJ
cuesj-547	187	8	g.	g.	PROPN
cuesj-547	187	9	m.	m.	PROPN
cuesj-547	187	10	jenkins	jenkins	PROPN
cuesj-547	187	11	.	.	PUNCT
cuesj-547	188	1	time	time	PROPN
cuesj-547	188	2	series	series	PROPN
cuesj-547	188	3	analysis	analysis	NOUN
cuesj-547	188	4	forecasting	forecasting	NOUN
cuesj-547	188	5	and	and	CCONJ
cuesj-547	188	6	control	control	NOUN
cuesj-547	188	7	.	.	PUNCT
cuesj-547	189	1	4th	4th	ADJ
cuesj-547	189	2	ed	ed	NOUN
cuesj-547	189	3	.	.	PUNCT
cuesj-547	190	1	usa	usa	PROPN
cuesj-547	190	2	:	:	PUNCT
cuesj-547	190	3	library	library	NOUN
cuesj-547	190	4	of	of	ADP
cuesj-547	190	5	congress	congress	PROPN
cuesj-547	190	6	catalog	catalog	NOUN
cuesj-547	190	7	card	card	NOUN
cuesj-547	190	8	number	number	NOUN
cuesj-547	190	9	.	.	PUNCT
cuesj-547	191	1	76	76	NUM
cuesj-547	191	2	-	-	SYM
cuesj-547	191	3	8713	8713	NUM
cuesj-547	191	4	,	,	PUNCT
cuesj-547	191	5	1976	1976	NUM
cuesj-547	191	6	.	.	PUNCT
cuesj-547	192	1	7	7	X
cuesj-547	192	2	.	.	PUNCT
cuesj-547	193	1	p.	p.	NOUN
cuesj-547	193	2	j.	j.	PROPN
cuesj-547	193	3	brockwell	brockwell	PROPN
cuesj-547	193	4	and	and	CCONJ
cuesj-547	193	5	r.	r.	PROPN
cuesj-547	193	6	a.	a.	PROPN
cuesj-547	193	7	davis	davis	PROPN
cuesj-547	193	8	.	.	PUNCT
cuesj-547	194	1	time	time	PROPN
cuesj-547	194	2	series	series	PROPN
cuesj-547	194	3	:	:	PUNCT
cuesj-547	194	4	theory	theory	NOUN
cuesj-547	194	5	and	and	CCONJ
cuesj-547	194	6	methods	method	NOUN
cuesj-547	194	7	.	.	PUNCT
cuesj-547	195	1	2nd	2nd	ADJ
cuesj-547	195	2	ed	ed	PROPN
cuesj-547	195	3	.	.	PUNCT
cuesj-547	196	1	usa	usa	PROPN
cuesj-547	196	2	,	,	PUNCT
cuesj-547	196	3	new	new	PROPN
cuesj-547	196	4	york	york	PROPN
cuesj-547	196	5	:	:	PUNCT
cuesj-547	196	6	springer	springer	NOUN
cuesj-547	196	7	science	science	NOUN
cuesj-547	196	8	and	and	CCONJ
cuesj-547	196	9	business	business	NOUN
cuesj-547	196	10	media	medium	NOUN
cuesj-547	196	11	,	,	PUNCT
cuesj-547	196	12	llc	llc	PROPN
cuesj-547	196	13	,	,	PUNCT
cuesj-547	196	14	233	233	NUM
cuesj-547	196	15	spring	spring	NOUN
cuesj-547	196	16	street	street	NOUN
cuesj-547	196	17	,	,	PUNCT
cuesj-547	196	18	2006	2006	NUM
cuesj-547	196	19	.	.	PUNCT
cuesj-547	197	1	8	8	NUM
cuesj-547	197	2	.	.	PUNCT
cuesj-547	197	3	h.	h.	PROPN
cuesj-547	197	4	lutkepohul	lutkepohul	PROPN
cuesj-547	197	5	and	and	CCONJ
cuesj-547	197	6	m.	m.	PROPN
cuesj-547	197	7	kratzig	kratzig	PROPN
cuesj-547	197	8	.	.	PUNCT
cuesj-547	198	1	applied	apply	VERB
cuesj-547	198	2	time	time	NOUN
cuesj-547	198	3	series	series	PROPN
cuesj-547	198	4	econometrics	econometrics	PROPN
cuesj-547	198	5	.	.	PUNCT
cuesj-547	199	1	new	new	PROPN
cuesj-547	199	2	york	york	PROPN
cuesj-547	199	3	:	:	PUNCT
cuesj-547	199	4	the	the	DET
cuesj-547	199	5	united	united	PROPN
cuesj-547	199	6	states	states	PROPN
cuesj-547	199	7	of	of	ADP
cuesj-547	199	8	america	america	PROPN
cuesj-547	199	9	by	by	ADP
cuesj-547	199	10	cambridge	cambridge	PROPN
cuesj-547	199	11	university	university	PROPN
cuesj-547	199	12	press	press	NOUN
cuesj-547	199	13	;	;	PUNCT
cuesj-547	199	14	2004	2004	NUM
cuesj-547	199	15	.	.	PUNCT
cuesj-547	200	1	9	9	X
cuesj-547	200	2	.	.	PUNCT
cuesj-547	200	3	j.	j.	PROPN
cuesj-547	200	4	cryer	cryer	PROPN
cuesj-547	200	5	and	and	CCONJ
cuesj-547	200	6	k.	k.	PROPN
cuesj-547	200	7	chan	chan	PROPN
cuesj-547	200	8	.	.	PUNCT
cuesj-547	201	1	time	time	PROPN
cuesj-547	201	2	series	series	PROPN
cuesj-547	201	3	analysis	analysis	NOUN
cuesj-547	201	4	with	with	ADP
cuesj-547	201	5	applications	application	NOUN
cuesj-547	201	6	.	.	PUNCT
cuesj-547	202	1	2nd	2nd	ADJ
cuesj-547	202	2	ed	ed	PROPN
cuesj-547	202	3	.	.	PUNCT
cuesj-547	203	1	usa	usa	PROPN
cuesj-547	203	2	,	,	PUNCT
cuesj-547	203	3	new	new	PROPN
cuesj-547	203	4	york	york	PROPN
cuesj-547	203	5	:	:	PUNCT
cuesj-547	203	6	springer	springer	NOUN
cuesj-547	203	7	science	science	NOUN
cuesj-547	203	8	and	and	CCONJ
cuesj-547	203	9	business	business	NOUN
cuesj-547	203	10	media	medium	NOUN
cuesj-547	203	11	,	,	PUNCT
cuesj-547	203	12	llc	llc	PROPN
cuesj-547	203	13	,	,	PUNCT
cuesj-547	203	14	233	233	NUM
cuesj-547	203	15	spring	spring	NOUN
cuesj-547	203	16	street	street	NOUN
cuesj-547	203	17	,	,	PUNCT
cuesj-547	203	18	10013	10013	NUM
cuesj-547	203	19	,	,	PUNCT
cuesj-547	203	20	2008	2008	NUM
cuesj-547	203	21	.	.	PUNCT
cuesj-547	204	1	10	10	NUM
cuesj-547	204	2	.	.	PUNCT
cuesj-547	205	1	p.	p.	NOUN
cuesj-547	205	2	j.	j.	PROPN
cuesj-547	205	3	brockwell	brockwell	PROPN
cuesj-547	205	4	and	and	CCONJ
cuesj-547	205	5	r.	r.	PROPN
cuesj-547	205	6	a.	a.	PROPN
cuesj-547	205	7	davis	davis	PROPN
cuesj-547	205	8	.	.	PUNCT
cuesj-547	206	1	introduction	introduction	NOUN
cuesj-547	206	2	to	to	ADP
cuesj-547	206	3	time	time	NOUN
cuesj-547	206	4	series	series	NOUN
cuesj-547	206	5	and	and	CCONJ
cuesj-547	206	6	forecasting	forecasting	NOUN
cuesj-547	206	7	.	.	PUNCT
cuesj-547	207	1	2nd	2nd	ADJ
cuesj-547	207	2	ed	ed	NOUN
cuesj-547	207	3	.	.	PUNCT
cuesj-547	208	1	new	new	PROPN
cuesj-547	208	2	york	york	PROPN
cuesj-547	208	3	:	:	PUNCT
cuesj-547	208	4	springer	springer	NOUN
cuesj-547	208	5	-	-	PUNCT
cuesj-547	208	6	verlag	verlag	PROPN
cuesj-547	208	7	,	,	PUNCT
cuesj-547	208	8	inc	inc	PROPN
cuesj-547	208	9	.	.	PROPN
cuesj-547	208	10	;	;	PUNCT
cuesj-547	208	11	2002	2002	NUM
cuesj-547	208	12	.	.	PUNCT
cuesj-547	209	1	11	11	NUM
cuesj-547	209	2	.	.	PUNCT
cuesj-547	209	3	r.	r.	PROPN
cuesj-547	209	4	s.	s.	PROPN
cuesj-547	209	5	shumway	shumway	PROPN
cuesj-547	209	6	and	and	CCONJ
cuesj-547	209	7	d.	d.	PROPN
cuesj-547	209	8	s.	s.	PROPN
cuesj-547	209	9	stoffer	stoffer	PROPN
cuesj-547	209	10	.	.	PROPN
cuesj-547	210	1	time	time	PROPN
cuesj-547	210	2	series	series	PROPN
cuesj-547	210	3	analysis	analysis	NOUN
cuesj-547	210	4	and	and	CCONJ
cuesj-547	210	5	its	its	PRON
cuesj-547	210	6	applications	application	NOUN
cuesj-547	210	7	with	with	ADP
cuesj-547	210	8	r	r	NOUN
cuesj-547	210	9	example	example	NOUN
cuesj-547	210	10	.	.	PUNCT
cuesj-547	211	1	3rd	3rd	ADJ
cuesj-547	211	2	ed	ed	NOUN
cuesj-547	211	3	.	.	PUNCT
cuesj-547	212	1	usa	usa	PROPN
cuesj-547	212	2	,	,	PUNCT
cuesj-547	212	3	new	new	PROPN
cuesj-547	212	4	york	york	PROPN
cuesj-547	212	5	:	:	PUNCT
cuesj-547	212	6	springer	springer	NOUN
cuesj-547	212	7	science	science	NOUN
cuesj-547	212	8	and	and	CCONJ
cuesj-547	212	9	business	business	NOUN
cuesj-547	212	10	media	medium	NOUN
cuesj-547	212	11	,	,	PUNCT
cuesj-547	212	12	llc	llc	PROPN
cuesj-547	212	13	,	,	PUNCT
cuesj-547	212	14	233	233	NUM
cuesj-547	212	15	spring	spring	NOUN
cuesj-547	212	16	street	street	NOUN
cuesj-547	212	17	,	,	PUNCT
cuesj-547	212	18	2011	2011	NUM
cuesj-547	212	19	.	.	PUNCT
cuesj-547	213	1	12	12	NUM
cuesj-547	213	2	.	.	PUNCT
cuesj-547	213	3	d.	d.	PROPN
cuesj-547	213	4	c.	c.	PROPN
cuesj-547	213	5	montgomery	montgomery	PROPN
cuesj-547	213	6	,	,	PUNCT
cuesj-547	213	7	c.	c.	PROPN
cuesj-547	213	8	l.	l.	PROPN
cuesj-547	213	9	jennings	jennings	PROPN
cuesj-547	213	10	and	and	CCONJ
cuesj-547	213	11	m.	m.	PROPN
cuesj-547	213	12	kulahci	kulahci	PROPN
cuesj-547	213	13	.	.	PUNCT
cuesj-547	214	1	introduction	introduction	NOUN
cuesj-547	214	2	to	to	ADP
cuesj-547	214	3	time	time	NOUN
cuesj-547	214	4	series	series	NOUN
cuesj-547	214	5	analysis	analysis	NOUN
cuesj-547	214	6	and	and	CCONJ
cuesj-547	214	7	forecasting	forecasting	NOUN
cuesj-547	214	8	.	.	PUNCT
cuesj-547	215	1	2nd	2nd	ADJ
cuesj-547	215	2	ed	ed	NOUN
cuesj-547	215	3	.	.	PUNCT
cuesj-547	216	1	canada	canada	PROPN
cuesj-547	216	2	,	,	PUNCT
cuesj-547	216	3	hoboken	hoboken	PROPN
cuesj-547	216	4	,	,	PUNCT
cuesj-547	216	5	new	new	PROPN
cuesj-547	216	6	jersey	jersey	PROPN
cuesj-547	216	7	:	:	PUNCT
cuesj-547	216	8	john	john	PROPN
cuesj-547	216	9	wiley	wiley	PROPN
cuesj-547	216	10	and	and	CCONJ
cuesj-547	216	11	sons	son	NOUN
cuesj-547	216	12	.	.	PUNCT
cuesj-547	216	13	inc	inc	PROPN
cuesj-547	216	14	.	.	PROPN
cuesj-547	216	15	,	,	PUNCT
cuesj-547	216	16	2016	2016	NUM
cuesj-547	216	17	.	.	PUNCT
cuesj-547	217	1	13	13	NUM
cuesj-547	217	2	.	.	PUNCT
cuesj-547	217	3	w.	w.	PROPN
cuesj-547	217	4	wei	wei	PROPN
cuesj-547	217	5	.	.	PROPN
cuesj-547	217	6	time	time	PROPN
cuesj-547	217	7	series	series	PROPN
cuesj-547	217	8	analysis	analysis	NOUN
cuesj-547	217	9	:	:	PUNCT
cuesj-547	217	10	univariate	univariate	ADJ
cuesj-547	217	11	and	and	CCONJ
cuesj-547	217	12	multivariate	multivariate	NOUN
cuesj-547	217	13	methods	method	NOUN
cuesj-547	217	14	.	.	PUNCT
cuesj-547	218	1	2nd	2nd	ADJ
cuesj-547	218	2	ed	ed	NOUN
cuesj-547	218	3	.	.	PUNCT
cuesj-547	219	1	usa	usa	PROPN
cuesj-547	219	2	:	:	PUNCT
cuesj-547	219	3	greg	greg	PROPN
cuesj-547	219	4	tobin	tobin	PROPN
cuesj-547	219	5	,	,	PUNCT
cuesj-547	219	6	2006	2006	NUM
cuesj-547	219	7	.	.	PUNCT
cuesj-547	220	1	14	14	NUM
cuesj-547	220	2	.	.	PUNCT
cuesj-547	220	3	a.	a.	PROPN
cuesj-547	220	4	omer	omer	PROPN
cuesj-547	220	5	,	,	PUNCT
cuesj-547	220	6	h.	h.	PROPN
cuesj-547	220	7	blbas	blbas	PROPN
cuesj-547	220	8	and	and	CCONJ
cuesj-547	220	9	d.	d.	PROPN
cuesj-547	220	10	kadir	kadir	PROPN
cuesj-547	220	11	d.	d.	PROPN
cuesj-547	221	1	a	a	DET
cuesj-547	221	2	comparison	comparison	NOUN
cuesj-547	221	3	between	between	ADP
cuesj-547	221	4	brown	brown	PROPN
cuesj-547	221	5	’s	’s	PART
cuesj-547	221	6	and	and	CCONJ
cuesj-547	221	7	holt	holt	PROPN
cuesj-547	221	8	’s	’s	PART
cuesj-547	221	9	double	double	ADJ
cuesj-547	221	10	exponential	exponential	NOUN
cuesj-547	221	11	smoothing	smoothing	NOUN
cuesj-547	221	12	for	for	ADP
cuesj-547	221	13	forecasting	forecast	VERB
cuesj-547	221	14	applied	apply	VERB
cuesj-547	221	15	generation	generation	NOUN
cuesj-547	221	16	electrical	electrical	ADJ
cuesj-547	221	17	energies	energy	NOUN
cuesj-547	221	18	in	in	ADP
cuesj-547	221	19	kurdistan	kurdistan	PROPN
cuesj-547	221	20	region	region	NOUN
cuesj-547	221	21	.	.	PUNCT
cuesj-547	222	1	cihan	cihan	PROPN
cuesj-547	222	2	university	university	NOUN
cuesj-547	222	3	erbil	erbil	PROPN
cuesj-547	222	4	scientific	scientific	PROPN
cuesj-547	222	5	journal	journal	NOUN
cuesj-547	222	6	,	,	PUNCT
cuesj-547	222	7	vol	vol	NOUN
cuesj-547	222	8	.	.	PROPN
cuesj-547	222	9	5	5	NUM
cuesj-547	222	10	,	,	PUNCT
cuesj-547	222	11	no	no	INTJ
cuesj-547	222	12	.	.	NOUN
cuesj-547	222	13	2	2	NUM
cuesj-547	222	14	,	,	PUNCT
cuesj-547	222	15	pp	pp	ADJ
cuesj-547	222	16	.	.	PUNCT
cuesj-547	223	1	56	56	NUM
cuesj-547	223	2	-	-	SYM
cuesj-547	223	3	63	63	NUM
cuesj-547	223	4	,	,	PUNCT
cuesj-547	223	5	2021	2021	NUM
cuesj-547	223	6	.	.	PUNCT
cuesj-547	224	1	15	15	NUM
cuesj-547	224	2	.	.	PUNCT
cuesj-547	225	1	t.	t.	PROPN
cuesj-547	225	2	cipra	cipra	PROPN
cuesj-547	225	3	.	.	PUNCT
cuesj-547	226	1	time	time	PROPN
cuesj-547	226	2	series	series	PROPN
cuesj-547	226	3	in	in	ADP
cuesj-547	226	4	economics	economic	NOUN
cuesj-547	226	5	and	and	CCONJ
cuesj-547	226	6	finance	finance	NOUN
cuesj-547	226	7	.	.	PUNCT
cuesj-547	227	1	nature	nature	PROPN
cuesj-547	227	2	,	,	PUNCT
cuesj-547	227	3	switzerland	switzerland	PROPN
cuesj-547	227	4	,	,	PUNCT
cuesj-547	227	5	ag	ag	PROPN
cuesj-547	227	6	,	,	PUNCT
cuesj-547	227	7	2020	2020	NUM
cuesj-547	227	8	.	.	PUNCT
cuesj-547	228	1	16	16	NUM
cuesj-547	228	2	.	.	PUNCT
cuesj-547	229	1	g.	g.	PROPN
cuesj-547	229	2	e.	e.	PROPN
cuesj-547	229	3	p.	p.	PROPN
cuesj-547	229	4	box	box	PROPN
cuesj-547	229	5	,	,	PUNCT
cuesj-547	229	6	g.	g.	PROPN
cuesj-547	229	7	m.	m.	PROPN
cuesj-547	229	8	jenkins	jenkins	PROPN
cuesj-547	229	9	and	and	CCONJ
cuesj-547	229	10	g.	g.	PROPN
cuesj-547	229	11	c.	c.	PROPN
cuesj-547	229	12	reincel	reincel	PROPN
cuesj-547	229	13	.	.	PUNCT
cuesj-547	230	1	time	time	PROPN
cuesj-547	230	2	series	series	PROPN
cuesj-547	230	3	analysis	analysis	NOUN
cuesj-547	230	4	forecasting	forecasting	NOUN
cuesj-547	230	5	and	and	CCONJ
cuesj-547	230	6	control	control	NOUN
cuesj-547	230	7	.	.	PUNCT
cuesj-547	231	1	3rd	3rd	ADJ
cuesj-547	231	2	ed	ed	NOUN
cuesj-547	231	3	.	.	PUNCT
cuesj-547	232	1	hoboken	hoboken	PROPN
cuesj-547	232	2	,	,	PUNCT
cuesj-547	232	3	new	new	PROPN
cuesj-547	232	4	jersey	jersey	PROPN
cuesj-547	232	5	:	:	PUNCT
cuesj-547	232	6	prenticehall	prenticehall	PROPN
cuesj-547	232	7	,	,	PUNCT
cuesj-547	232	8	inc	inc	PROPN
cuesj-547	232	9	.	.	PROPN
cuesj-547	232	10	,	,	PUNCT
cuesj-547	232	11	1994	1994	NUM
cuesj-547	232	12	.	.	PUNCT
cuesj-547	233	1	17	17	NUM
cuesj-547	233	2	.	.	PUNCT
cuesj-547	233	3	r.	r.	PROPN
cuesj-547	233	4	a.	a.	PROPN
cuesj-547	233	5	yaffee	yaffee	PROPN
cuesj-547	233	6	and	and	CCONJ
cuesj-547	233	7	m.	m.	PROPN
cuesj-547	233	8	mcgee	mcgee	PROPN
cuesj-547	233	9	.	.	PUNCT
cuesj-547	234	1	introduction	introduction	NOUN
cuesj-547	234	2	to	to	ADP
cuesj-547	234	3	time	time	NOUN
cuesj-547	234	4	series	series	NOUN
cuesj-547	234	5	analysis	analysis	NOUN
cuesj-547	234	6	and	and	CCONJ
cuesj-547	234	7	forecasting	forecasting	NOUN
cuesj-547	234	8	with	with	ADP
cuesj-547	234	9	applications	application	NOUN
cuesj-547	234	10	of	of	ADP
cuesj-547	234	11	sas	sa	NOUN
cuesj-547	234	12	and	and	CCONJ
cuesj-547	234	13	spss	spss	PROPN
cuesj-547	234	14	.	.	PUNCT
cuesj-547	235	1	tokyo	tokyo	PROPN
cuesj-547	235	2	,	,	PUNCT
cuesj-547	235	3	toronto	toronto	PROPN
cuesj-547	235	4	:	:	PUNCT
cuesj-547	235	5	academic	academic	ADJ
cuesj-547	235	6	press	press	PROPN
cuesj-547	235	7	,	,	PUNCT
cuesj-547	235	8	inc	inc	PROPN
cuesj-547	235	9	.	.	PROPN
cuesj-547	235	10	;	;	PUNCT
cuesj-547	235	11	1996	1996	NUM
cuesj-547	235	12	.	.	PUNCT
cuesj-547	236	1	figure	figure	VERB
cuesj-547	236	2	6	6	NUM
cuesj-547	236	3	:	:	PUNCT
cuesj-547	236	4	acf	acf	NOUN
cuesj-547	236	5	and	and	CCONJ
cuesj-547	236	6	pacf	pacf	NOUN
cuesj-547	236	7	of	of	ADP
cuesj-547	236	8	residuals	residual	NOUN
cuesj-547	236	9	model	model	NOUN
cuesj-547	236	10	figure	figure	NOUN
cuesj-547	236	11	7	7	NUM
cuesj-547	236	12	:	:	PUNCT
cuesj-547	236	13	original	original	ADJ
cuesj-547	236	14	usd	usd	PROPN
cuesj-547	236	15	/	/	SYM
cuesj-547	236	16	iqd	iqd	NOUN
cuesj-547	236	17	series	series	NOUN
cuesj-547	236	18	,	,	PUNCT
cuesj-547	236	19	forecasted	forecast	VERB
cuesj-547	236	20	values	value	NOUN
cuesj-547	236	21	,	,	PUNCT
cuesj-547	236	22	and	and	CCONJ
cuesj-547	236	23	confidence	confidence	NOUN
cuesj-547	236	24	limits	limit	NOUN
cuesj-547	236	25	using	use	VERB
cuesj-547	236	26	arima	arima	PROPN
cuesj-547	236	27	(	(	PUNCT
cuesj-547	236	28	2,1,0)12	2,1,0)12	NUM
cuesj-547	236	29	model	model	NOUN
cuesj-547	236	30	for	for	ADP
cuesj-547	236	31	the	the	DET
cuesj-547	236	32	period	period	NOUN
cuesj-547	236	33	january	january	PROPN
cuesj-547	236	34	2021	2021	NUM
cuesj-547	236	35	–	–	PUNCT
cuesj-547	236	36	december	december	PROPN
cuesj-547	236	37	2022	2022	NUM
cuesj-547	236	38	,	,	PUNCT
cuesj-547	236	39	forecast	forecast	NOUN
cuesj-547	236	40	(	(	PUNCT
cuesj-547	236	41	24	24	NUM
cuesj-547	236	42	months	month	NOUN
cuesj-547	236	43	)	)	PUNCT