id	sid	tid	token	lemma	pos
cana-2083	1	1	communications	communication	NOUN
cana-2083	1	2	on	on	ADP
cana-2083	1	3	applied	apply	VERB
cana-2083	1	4	nonlinear	nonlinear	ADJ
cana-2083	1	5	analysis	analysis	NOUN
cana-2083	1	6	issn	issn	NOUN
cana-2083	1	7	:	:	PUNCT
cana-2083	1	8	1074	1074	NUM
cana-2083	1	9	-	-	PUNCT
cana-2083	1	10	133x	133x	NUM
cana-2083	1	11	vol	vol	NOUN
cana-2083	1	12	32	32	NUM
cana-2083	1	13	no	no	NOUN
cana-2083	1	14	.	.	PUNCT
cana-2083	2	1	1s	1s	NUM
cana-2083	2	2	(	(	PUNCT
cana-2083	2	3	2025	2025	NUM
cana-2083	2	4	)	)	PUNCT
cana-2083	2	5	1	1	NUM
cana-2083	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2083	2	7	modeling	model	VERB
cana-2083	2	8	ghq	ghq	NOUN
cana-2083	2	9	total	total	NOUN
cana-2083	2	10	and	and	CCONJ
cana-2083	2	11	sdq	sdq	NOUN
cana-2083	2	12	difficulty	difficulty	NOUN
cana-2083	2	13	score	score	VERB
cana-2083	2	14	to	to	PART
cana-2083	2	15	extract	extract	VERB
cana-2083	2	16	incomplete	incomplete	ADJ
cana-2083	2	17	information	information	NOUN
cana-2083	2	18	on	on	ADP
cana-2083	2	19	one	one	NUM
cana-2083	2	20	using	use	VERB
cana-2083	2	21	the	the	DET
cana-2083	2	22	other	other	ADJ
cana-2083	2	23	alka	alka	NOUN
cana-2083	2	24	sabharwal1	sabharwal1	VERB
cana-2083	2	25	,	,	PUNCT
cana-2083	2	26	babita	babita	PROPN
cana-2083	2	27	goyal2	goyal2	PROPN
cana-2083	2	28	*	*	NOUN
cana-2083	2	29	,	,	PUNCT
cana-2083	2	30	lalit	lalit	PROPN
cana-2083	2	31	mohan	mohan	PROPN
cana-2083	2	32	joshi3	joshi3	PROPN
cana-2083	3	1	1professor	1professor	NUM
cana-2083	3	2	,	,	PUNCT
cana-2083	3	3	department	department	NOUN
cana-2083	3	4	of	of	ADP
cana-2083	3	5	statistics	statistic	NOUN
cana-2083	3	6	,	,	PUNCT
cana-2083	3	7	kirori	kirori	PROPN
cana-2083	3	8	mal	mal	PROPN
cana-2083	3	9	college	college	PROPN
cana-2083	3	10	,	,	PUNCT
cana-2083	3	11	university	university	NOUN
cana-2083	3	12	of	of	ADP
cana-2083	3	13	delhi	delhi	PROPN
cana-2083	3	14	,	,	PUNCT
cana-2083	3	15	delhi-110007	delhi-110007	ADJ
cana-2083	3	16	email	email	NOUN
cana-2083	3	17	:	:	PUNCT
cana-2083	3	18	alkasabh@gmail.com	alkasabh@gmail.com	X
cana-2083	3	19	2	2	NUM
cana-2083	3	20	professor	professor	NOUN
cana-2083	3	21	,	,	PUNCT
cana-2083	3	22	department	department	NOUN
cana-2083	3	23	of	of	ADP
cana-2083	3	24	statistics	statistic	NOUN
cana-2083	3	25	,	,	PUNCT
cana-2083	3	26	ramjas	ramjas	PROPN
cana-2083	3	27	college	college	PROPN
cana-2083	3	28	,	,	PUNCT
cana-2083	3	29	university	university	NOUN
cana-2083	3	30	of	of	ADP
cana-2083	3	31	delhi	delhi	PROPN
cana-2083	3	32	,	,	PUNCT
cana-2083	3	33	delhi-110007	delhi-110007	ADJ
cana-2083	3	34	email	email	NOUN
cana-2083	3	35	:	:	PUNCT
cana-2083	3	36	goyalbabita@gmail.com	goyalbabita@gmail.com	X
cana-2083	4	1	3research	3research	NUM
cana-2083	4	2	scholar	scholar	NOUN
cana-2083	4	3	,	,	PUNCT
cana-2083	4	4	department	department	NOUN
cana-2083	4	5	of	of	ADP
cana-2083	4	6	statistics	statistic	NOUN
cana-2083	4	7	,	,	PUNCT
cana-2083	4	8	university	university	NOUN
cana-2083	4	9	of	of	ADP
cana-2083	4	10	delhi	delhi	PROPN
cana-2083	4	11	,	,	PUNCT
cana-2083	4	12	delhi-110007	delhi-110007	ADJ
cana-2083	4	13	email	email	NOUN
cana-2083	4	14	:	:	PUNCT
cana-2083	4	15	lalitjstats12@gmail.com	lalitjstats12@gmail.com	X
cana-2083	4	16	*	*	PUNCT
cana-2083	4	17	corresponding	correspond	VERB
cana-2083	4	18	author	author	NOUN
cana-2083	4	19	article	article	NOUN
cana-2083	4	20	history	history	NOUN
cana-2083	4	21	:	:	PUNCT
cana-2083	4	22	received	receive	VERB
cana-2083	4	23	:	:	PUNCT
cana-2083	4	24	05	05	NUM
cana-2083	4	25	-	-	SYM
cana-2083	4	26	08	08	NUM
cana-2083	4	27	-	-	PUNCT
cana-2083	4	28	2024	2024	NUM
cana-2083	4	29	revised	revise	VERB
cana-2083	4	30	:	:	PUNCT
cana-2083	4	31	25	25	NUM
cana-2083	4	32	-	-	PUNCT
cana-2083	4	33	09	09	NUM
cana-2083	4	34	-	-	PUNCT
cana-2083	4	35	2024	2024	NUM
cana-2083	4	36	accepted	accept	VERB
cana-2083	4	37	:	:	PUNCT
cana-2083	4	38	07	07	NUM
cana-2083	4	39	-	-	SYM
cana-2083	4	40	10	10	NUM
cana-2083	4	41	-	-	PUNCT
cana-2083	4	42	2024	2024	NUM
cana-2083	4	43	abstract	abstract	NOUN
cana-2083	4	44	:	:	PUNCT
cana-2083	4	45	background	background	NOUN
cana-2083	4	46	:	:	PUNCT
cana-2083	4	47	a	a	DET
cana-2083	4	48	natural	natural	ADJ
cana-2083	4	49	approach	approach	NOUN
cana-2083	4	50	to	to	PART
cana-2083	4	51	analyze	analyze	VERB
cana-2083	4	52	multidimensional	multidimensional	ADJ
cana-2083	4	53	data	datum	NOUN
cana-2083	4	54	is	be	AUX
cana-2083	4	55	use	use	NOUN
cana-2083	4	56	of	of	ADP
cana-2083	4	57	multivariate	multivariate	NOUN
cana-2083	4	58	statistical	statistical	ADJ
cana-2083	4	59	analysis	analysis	NOUN
cana-2083	4	60	.	.	PUNCT
cana-2083	5	1	if	if	SCONJ
cana-2083	5	2	the	the	DET
cana-2083	5	3	number	number	NOUN
cana-2083	5	4	of	of	ADP
cana-2083	5	5	dimensions	dimension	NOUN
cana-2083	5	6	/	/	SYM
cana-2083	5	7	variables	variable	NOUN
cana-2083	5	8	is	be	AUX
cana-2083	5	9	small	small	ADJ
cana-2083	5	10	and	and	CCONJ
cana-2083	5	11	variables	variable	NOUN
cana-2083	5	12	are	be	AUX
cana-2083	5	13	correlated	correlate	VERB
cana-2083	5	14	,	,	PUNCT
cana-2083	5	15	multivariate	multivariate	VERB
cana-2083	5	16	normal	normal	ADJ
cana-2083	5	17	distribution	distribution	NOUN
cana-2083	5	18	(	(	PUNCT
cana-2083	5	19	mvn	mvn	NOUN
cana-2083	5	20	)	)	PUNCT
cana-2083	5	21	is	be	AUX
cana-2083	5	22	applied	apply	VERB
cana-2083	5	23	frequently	frequently	ADV
cana-2083	5	24	.	.	PUNCT
cana-2083	6	1	if	if	SCONJ
cana-2083	6	2	the	the	DET
cana-2083	6	3	distribution	distribution	NOUN
cana-2083	6	4	of	of	ADP
cana-2083	6	5	underlying	underlie	VERB
cana-2083	6	6	variables	variable	NOUN
cana-2083	6	7	is	be	AUX
cana-2083	6	8	not	not	PART
cana-2083	6	9	normal	normal	ADJ
cana-2083	6	10	,	,	PUNCT
cana-2083	6	11	transformations	transformation	NOUN
cana-2083	6	12	are	be	AUX
cana-2083	6	13	applied	apply	VERB
cana-2083	6	14	to	to	PART
cana-2083	6	15	convert	convert	VERB
cana-2083	6	16	them	they	PRON
cana-2083	6	17	to	to	ADP
cana-2083	6	18	normal	normal	ADJ
cana-2083	6	19	variables	variable	NOUN
cana-2083	6	20	.	.	PUNCT
cana-2083	7	1	objective	objective	NOUN
cana-2083	7	2	:	:	PUNCT
cana-2083	7	3	many	many	ADJ
cana-2083	7	4	a	a	DET
cana-2083	7	5	times	time	NOUN
cana-2083	7	6	,	,	PUNCT
cana-2083	7	7	information	information	NOUN
cana-2083	7	8	may	may	AUX
cana-2083	7	9	be	be	AUX
cana-2083	7	10	missing	miss	VERB
cana-2083	7	11	on	on	ADP
cana-2083	7	12	one	one	NUM
cana-2083	7	13	or	or	CCONJ
cana-2083	7	14	more	more	ADJ
cana-2083	7	15	dimensions	dimension	NOUN
cana-2083	7	16	of	of	ADP
cana-2083	7	17	the	the	DET
cana-2083	7	18	data	datum	NOUN
cana-2083	7	19	.	.	PUNCT
cana-2083	8	1	the	the	DET
cana-2083	8	2	study	study	NOUN
cana-2083	8	3	intended	intend	VERB
cana-2083	8	4	to	to	PART
cana-2083	8	5	estimate	estimate	VERB
cana-2083	8	6	the	the	DET
cana-2083	8	7	missing	miss	VERB
cana-2083	8	8	information	information	NOUN
cana-2083	8	9	through	through	ADP
cana-2083	8	10	the	the	DET
cana-2083	8	11	available	available	ADJ
cana-2083	8	12	information	information	NOUN
cana-2083	8	13	.	.	PUNCT
cana-2083	9	1	method	method	NOUN
cana-2083	9	2	:	:	PUNCT
cana-2083	9	3	in	in	ADP
cana-2083	9	4	a	a	DET
cana-2083	9	5	series	series	NOUN
cana-2083	9	6	of	of	ADP
cana-2083	9	7	three	three	NUM
cana-2083	9	8	independent	independent	ADJ
cana-2083	9	9	surveys	survey	NOUN
cana-2083	9	10	to	to	PART
cana-2083	9	11	examine	examine	VERB
cana-2083	9	12	the	the	DET
cana-2083	9	13	psychological	psychological	ADJ
cana-2083	9	14	health	health	NOUN
cana-2083	9	15	of	of	ADP
cana-2083	9	16	young	young	ADJ
cana-2083	9	17	adults	adult	NOUN
cana-2083	9	18	during	during	ADP
cana-2083	9	19	covid-19	covid-19	PROPN
cana-2083	9	20	period	period	NOUN
cana-2083	9	21	,	,	PUNCT
cana-2083	9	22	enrolled	enrol	VERB
cana-2083	9	23	in	in	ADP
cana-2083	9	24	higher	high	ADJ
cana-2083	9	25	educational	educational	ADJ
cana-2083	9	26	institutions	institution	NOUN
cana-2083	9	27	in	in	ADP
cana-2083	9	28	india	india	PROPN
cana-2083	9	29	,	,	PUNCT
cana-2083	9	30	strength	strength	NOUN
cana-2083	9	31	and	and	CCONJ
cana-2083	9	32	difficulty	difficulty	NOUN
cana-2083	9	33	questionnaire	questionnaire	NOUN
cana-2083	9	34	(	(	PUNCT
cana-2083	9	35	sdq	sdq	PROPN
cana-2083	9	36	)	)	PUNCT
cana-2083	9	37	17	17	NUM
cana-2083	9	38	+	+	CCONJ
cana-2083	9	39	extended	extended	ADJ
cana-2083	9	40	version	version	NOUN
cana-2083	9	41	was	be	AUX
cana-2083	9	42	used	use	VERB
cana-2083	9	43	.	.	PUNCT
cana-2083	10	1	in	in	ADP
cana-2083	10	2	addition	addition	NOUN
cana-2083	10	3	,	,	PUNCT
cana-2083	10	4	general	general	ADJ
cana-2083	10	5	health	health	NOUN
cana-2083	10	6	questionnaire	questionnaire	NOUN
cana-2083	10	7	(	(	PUNCT
cana-2083	10	8	ghq	ghq	NOUN
cana-2083	10	9	)	)	PUNCT
cana-2083	10	10	was	be	AUX
cana-2083	10	11	used	use	VERB
cana-2083	10	12	in	in	ADP
cana-2083	10	13	third	third	ADJ
cana-2083	10	14	survey	survey	NOUN
cana-2083	10	15	.	.	PUNCT
cana-2083	11	1	the	the	DET
cana-2083	11	2	data	datum	NOUN
cana-2083	11	3	was	be	AUX
cana-2083	11	4	divided	divide	VERB
cana-2083	11	5	into	into	ADP
cana-2083	11	6	two	two	NUM
cana-2083	11	7	datasets	dataset	NOUN
cana-2083	11	8	;	;	PUNCT
cana-2083	11	9	based	base	VERB
cana-2083	11	10	on	on	ADP
cana-2083	11	11	third	third	ADJ
cana-2083	11	12	survey	survey	NOUN
cana-2083	11	13	and	and	CCONJ
cana-2083	11	14	based	base	VERB
cana-2083	11	15	on	on	ADP
cana-2083	11	16	first	first	ADJ
cana-2083	11	17	two	two	NUM
cana-2083	11	18	surveys	survey	NOUN
cana-2083	11	19	.	.	PUNCT
cana-2083	12	1	mvn	mvn	NOUN
cana-2083	12	2	was	be	AUX
cana-2083	12	3	used	use	VERB
cana-2083	12	4	to	to	PART
cana-2083	12	5	estimate	estimate	VERB
cana-2083	12	6	ghq	ghq	VERB
cana-2083	12	7	scores	score	NOUN
cana-2083	12	8	through	through	ADP
cana-2083	12	9	difficulty	difficulty	NOUN
cana-2083	12	10	score	score	NOUN
cana-2083	12	11	dimension	dimension	NOUN
cana-2083	12	12	of	of	ADP
cana-2083	12	13	sdq	sdq	NOUN
cana-2083	12	14	and	and	CCONJ
cana-2083	12	15	vice	vice	NOUN
cana-2083	12	16	versa	versa	ADV
cana-2083	12	17	.	.	PUNCT
cana-2083	13	1	the	the	DET
cana-2083	13	2	model	model	NOUN
cana-2083	13	3	was	be	AUX
cana-2083	13	4	applied	apply	VERB
cana-2083	13	5	to	to	ADP
cana-2083	13	6	data	datum	NOUN
cana-2083	13	7	of	of	ADP
cana-2083	13	8	first	first	ADJ
cana-2083	13	9	two	two	NUM
cana-2083	13	10	surveys	survey	NOUN
cana-2083	13	11	to	to	PART
cana-2083	13	12	estimate	estimate	VERB
cana-2083	13	13	ghq	ghq	VERB
cana-2083	13	14	scores	score	NOUN
cana-2083	13	15	at	at	ADP
cana-2083	13	16	the	the	DET
cana-2083	13	17	time	time	NOUN
cana-2083	13	18	of	of	ADP
cana-2083	13	19	these	these	DET
cana-2083	13	20	surveys	survey	NOUN
cana-2083	13	21	.	.	PUNCT
cana-2083	14	1	the	the	DET
cana-2083	14	2	model	model	NOUN
cana-2083	14	3	was	be	AUX
cana-2083	14	4	applied	apply	VERB
cana-2083	14	5	on	on	ADP
cana-2083	14	6	162	162	NUM
cana-2083	14	7	respondents	respondent	NOUN
cana-2083	14	8	who	who	PRON
cana-2083	14	9	were	be	AUX
cana-2083	14	10	common	common	ADJ
cana-2083	14	11	in	in	ADP
cana-2083	14	12	all	all	DET
cana-2083	14	13	the	the	DET
cana-2083	14	14	three	three	NUM
cana-2083	14	15	surveys	survey	NOUN
cana-2083	14	16	.	.	PUNCT
cana-2083	15	1	result	result	NOUN
cana-2083	15	2	:	:	PUNCT
cana-2083	15	3	the	the	DET
cana-2083	15	4	estimated	estimate	VERB
cana-2083	15	5	values	value	NOUN
cana-2083	15	6	for	for	ADP
cana-2083	15	7	the	the	DET
cana-2083	15	8	third	third	ADJ
cana-2083	15	9	survey	survey	NOUN
cana-2083	15	10	data	datum	NOUN
cana-2083	15	11	were	be	AUX
cana-2083	15	12	consistent	consistent	ADJ
cana-2083	15	13	with	with	ADP
cana-2083	15	14	the	the	DET
cana-2083	15	15	observed	observe	VERB
cana-2083	15	16	and	and	CCONJ
cana-2083	15	17	simulated	simulated	ADJ
cana-2083	15	18	values	value	NOUN
cana-2083	15	19	.	.	PUNCT
cana-2083	16	1	further	far	ADV
cana-2083	16	2	it	it	PRON
cana-2083	16	3	was	be	AUX
cana-2083	16	4	found	find	VERB
cana-2083	16	5	that	that	SCONJ
cana-2083	16	6	out	out	ADP
cana-2083	16	7	of	of	ADP
cana-2083	16	8	64	64	NUM
cana-2083	16	9	respondents	respondent	NOUN
cana-2083	16	10	with	with	ADP
cana-2083	16	11	high	high	ADJ
cana-2083	16	12	ghq	ghq	NOUN
cana-2083	16	13	scores	score	NOUN
cana-2083	16	14	in	in	ADP
cana-2083	16	15	third	third	ADJ
cana-2083	16	16	survey	survey	NOUN
cana-2083	16	17	,	,	PUNCT
cana-2083	16	18	55	55	NUM
cana-2083	16	19	had	have	VERB
cana-2083	16	20	it	it	PRON
cana-2083	16	21	during	during	ADP
cana-2083	16	22	first	first	ADJ
cana-2083	16	23	two	two	NUM
cana-2083	16	24	surveys	survey	NOUN
cana-2083	16	25	also	also	ADV
cana-2083	16	26	.	.	PUNCT
cana-2083	17	1	conclusion	conclusion	NOUN
cana-2083	17	2	:	:	PUNCT
cana-2083	17	3	the	the	DET
cana-2083	17	4	results	result	NOUN
cana-2083	17	5	can	can	AUX
cana-2083	17	6	be	be	AUX
cana-2083	17	7	extended	extend	VERB
cana-2083	17	8	to	to	PART
cana-2083	17	9	estimate	estimate	VERB
cana-2083	17	10	any	any	DET
cana-2083	17	11	missing	missing	ADJ
cana-2083	17	12	information	information	NOUN
cana-2083	17	13	whenever	whenever	SCONJ
cana-2083	17	14	variables	variable	NOUN
cana-2083	17	15	are	be	AUX
cana-2083	17	16	correlated	correlate	VERB
cana-2083	17	17	.	.	PUNCT
cana-2083	18	1	keywords	keyword	NOUN
cana-2083	18	2	:	:	PUNCT
cana-2083	18	3	bivariate	bivariate	ADJ
cana-2083	18	4	normal	normal	ADJ
cana-2083	18	5	distributions	distribution	NOUN
cana-2083	18	6	,	,	PUNCT
cana-2083	18	7	general	general	ADJ
cana-2083	18	8	health	health	NOUN
cana-2083	18	9	questionnaire	questionnaire	NOUN
cana-2083	18	10	,	,	PUNCT
cana-2083	18	11	psychological	psychological	ADJ
cana-2083	18	12	health	health	NOUN
cana-2083	18	13	,	,	PUNCT
cana-2083	18	14	strength	strength	NOUN
cana-2083	18	15	and	and	CCONJ
cana-2083	18	16	difficulty	difficulty	NOUN
cana-2083	18	17	questionnaire	questionnaire	NOUN
cana-2083	18	18	,	,	PUNCT
cana-2083	18	19	weibull	weibull	NOUN
cana-2083	18	20	distribution	distribution	NOUN
cana-2083	18	21	.	.	PUNCT
cana-2083	19	1	1	1	NUM
cana-2083	19	2	introduction	introduction	NOUN
cana-2083	19	3	any	any	DET
cana-2083	19	4	medical	medical	ADJ
cana-2083	19	5	data	datum	NOUN
cana-2083	19	6	,	,	PUNCT
cana-2083	19	7	whether	whether	SCONJ
cana-2083	19	8	on	on	ADP
cana-2083	19	9	an	an	DET
cana-2083	19	10	individual	individual	NOUN
cana-2083	19	11	or	or	CCONJ
cana-2083	19	12	on	on	ADP
cana-2083	19	13	a	a	DET
cana-2083	19	14	cohort	cohort	NOUN
cana-2083	19	15	is	be	AUX
cana-2083	19	16	multidimensional	multidimensional	ADJ
cana-2083	19	17	in	in	ADP
cana-2083	19	18	nature	nature	NOUN
cana-2083	19	19	,	,	PUNCT
cana-2083	19	20	where	where	SCONJ
cana-2083	19	21	the	the	DET
cana-2083	19	22	number	number	NOUN
cana-2083	19	23	of	of	ADP
cana-2083	19	24	dimensions	dimension	NOUN
cana-2083	19	25	can	can	AUX
cana-2083	19	26	be	be	AUX
cana-2083	19	27	large	large	ADJ
cana-2083	19	28	.	.	PUNCT
cana-2083	20	1	to	to	PART
cana-2083	20	2	analyze	analyze	VERB
cana-2083	20	3	such	such	ADJ
cana-2083	20	4	data	datum	NOUN
cana-2083	20	5	,	,	PUNCT
cana-2083	20	6	a	a	DET
cana-2083	20	7	natural	natural	ADJ
cana-2083	20	8	approach	approach	NOUN
cana-2083	20	9	is	be	AUX
cana-2083	20	10	to	to	PART
cana-2083	20	11	make	make	VERB
cana-2083	20	12	use	use	NOUN
cana-2083	20	13	of	of	ADP
cana-2083	20	14	multivariate	multivariate	ADJ
cana-2083	20	15	statistical	statistical	ADJ
cana-2083	20	16	analysis	analysis	NOUN
cana-2083	20	17	.	.	PUNCT
cana-2083	21	1	a	a	DET
cana-2083	21	2	dimension	dimension	NOUN
cana-2083	21	3	refers	refer	VERB
cana-2083	21	4	to	to	ADP
cana-2083	21	5	specific	specific	ADJ
cana-2083	21	6	type	type	NOUN
cana-2083	21	7	information	information	NOUN
cana-2083	21	8	collected	collect	VERB
cana-2083	21	9	on	on	ADP
cana-2083	21	10	a	a	DET
cana-2083	21	11	subject	subject	NOUN
cana-2083	21	12	,	,	PUNCT
cana-2083	21	13	through	through	ADP
cana-2083	21	14	variables	variable	NOUN
cana-2083	21	15	;	;	PUNCT
cana-2083	21	16	such	such	ADJ
cana-2083	21	17	as	as	ADP
cana-2083	21	18	subject	subject	ADJ
cana-2083	21	19	dimension	dimension	NOUN
cana-2083	21	20	includes	include	VERB
cana-2083	21	21	information	information	NOUN
cana-2083	21	22	about	about	ADP
cana-2083	21	23	the	the	DET
cana-2083	21	24	patient	patient	NOUN
cana-2083	21	25	(	(	PUNCT
cana-2083	21	26	name	name	NOUN
cana-2083	21	27	,	,	PUNCT
cana-2083	21	28	age	age	NOUN
cana-2083	21	29	,	,	PUNCT
cana-2083	21	30	gender	gender	NOUN
cana-2083	21	31	etc	etc	X
cana-2083	21	32	.	.	X
cana-2083	21	33	)	)	PUNCT
cana-2083	22	1	similarly	similarly	ADV
cana-2083	22	2	disease	disease	NOUN
cana-2083	22	3	dimension	dimension	NOUN
cana-2083	22	4	included	include	VERB
cana-2083	22	5	duration	duration	NOUN
cana-2083	22	6	of	of	ADP
cana-2083	22	7	the	the	DET
cana-2083	22	8	disease	disease	NOUN
cana-2083	22	9	;	;	PUNCT
cana-2083	22	10	severity	severity	NOUN
cana-2083	22	11	,	,	PUNCT
cana-2083	22	12	comorbidities	comorbiditie	NOUN
cana-2083	22	13	etc	etc	X
cana-2083	22	14	.	.	X
cana-2083	23	1	if	if	SCONJ
cana-2083	23	2	the	the	DET
cana-2083	23	3	number	number	NOUN
cana-2083	23	4	of	of	ADP
cana-2083	23	5	variables	variable	NOUN
cana-2083	23	6	used	use	VERB
cana-2083	23	7	to	to	PART
cana-2083	23	8	collect	collect	VERB
cana-2083	23	9	the	the	DET
cana-2083	23	10	information	information	NOUN
cana-2083	23	11	is	be	AUX
cana-2083	23	12	large	large	ADJ
cana-2083	23	13	,	,	PUNCT
cana-2083	23	14	then	then	ADV
cana-2083	23	15	the	the	DET
cana-2083	23	16	commonly	commonly	ADV
cana-2083	23	17	used	use	VERB
cana-2083	23	18	statistical	statistical	ADJ
cana-2083	23	19	techniques	technique	NOUN
cana-2083	23	20	are	be	AUX
cana-2083	23	21	general	general	ADJ
cana-2083	23	22	linear	linear	ADJ
cana-2083	23	23	models	model	NOUN
cana-2083	23	24	,	,	PUNCT
cana-2083	23	25	discriminant	discriminant	ADJ
cana-2083	23	26	analysis	analysis	NOUN
cana-2083	23	27	,	,	PUNCT
cana-2083	23	28	factor	factor	NOUN
cana-2083	23	29	analysis	analysis	NOUN
cana-2083	23	30	,	,	PUNCT
cana-2083	23	31	both	both	PRON
cana-2083	23	32	for	for	ADP
cana-2083	23	33	dimension	dimension	NOUN
cana-2083	23	34	reduction	reduction	NOUN
cana-2083	23	35	and	and	CCONJ
cana-2083	23	36	analysis	analysis	NOUN
cana-2083	23	37	of	of	ADP
cana-2083	23	38	the	the	DET
cana-2083	23	39	data	datum	NOUN
cana-2083	23	40	(	(	PUNCT
cana-2083	23	41	johnson	johnson	PROPN
cana-2083	23	42	and	and	CCONJ
cana-2083	23	43	kotz	kotz	PROPN
cana-2083	23	44	,	,	PUNCT
cana-2083	23	45	1972	1972	NUM
cana-2083	23	46	;	;	PUNCT
cana-2083	23	47	khattree	khattree	NOUN
cana-2083	23	48	and	and	CCONJ
cana-2083	23	49	naik	naik	PROPN
cana-2083	23	50	2000	2000	NUM
cana-2083	23	51	;	;	PUNCT
cana-2083	23	52	lindsey	lindsey	NOUN
cana-2083	23	53	,	,	PUNCT
cana-2083	23	54	2000	2000	NUM
cana-2083	23	55	;	;	PUNCT
cana-2083	23	56	mailto:alkasabh@gmail.com	mailto:alkasabh@gmail.com	X
cana-2083	23	57	mailto:goyalbabita@gmail.com	mailto:goyalbabita@gmail.com	PROPN
cana-2083	23	58	mailto:lalitjstats12@gmail.com	mailto:lalitjstats12@gmail.com	PROPN
cana-2083	23	59	communications	communication	NOUN
cana-2083	23	60	on	on	ADP
cana-2083	23	61	applied	apply	VERB
cana-2083	23	62	nonlinear	nonlinear	ADJ
cana-2083	23	63	analysis	analysis	NOUN
cana-2083	23	64	issn	issn	NOUN
cana-2083	23	65	:	:	PUNCT
cana-2083	23	66	1074	1074	NUM
cana-2083	23	67	-	-	PUNCT
cana-2083	23	68	133x	133x	NUM
cana-2083	23	69	vol	vol	NOUN
cana-2083	23	70	32	32	NUM
cana-2083	23	71	no	no	NOUN
cana-2083	23	72	.	.	PUNCT
cana-2083	24	1	1s	1s	NUM
cana-2083	24	2	(	(	PUNCT
cana-2083	24	3	2025	2025	NUM
cana-2083	24	4	)	)	PUNCT
cana-2083	24	5	2	2	NUM
cana-2083	24	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2083	24	7	chi	chi	NOUN
cana-2083	24	8	,	,	PUNCT
cana-2083	24	9	2012	2012	NUM
cana-2083	24	10	)	)	PUNCT
cana-2083	24	11	.	.	PUNCT
cana-2083	25	1	if	if	SCONJ
cana-2083	25	2	the	the	DET
cana-2083	25	3	number	number	NOUN
cana-2083	25	4	of	of	ADP
cana-2083	25	5	variables	variable	NOUN
cana-2083	25	6	is	be	AUX
cana-2083	25	7	small	small	ADJ
cana-2083	25	8	(	(	PUNCT
cana-2083	25	9	less	less	ADJ
cana-2083	25	10	than	than	ADP
cana-2083	25	11	four	four	NUM
cana-2083	25	12	)	)	PUNCT
cana-2083	25	13	,	,	PUNCT
cana-2083	25	14	parametric	parametric	ADJ
cana-2083	25	15	multivariate	multivariate	NOUN
cana-2083	25	16	methods	method	NOUN
cana-2083	25	17	are	be	AUX
cana-2083	25	18	frequently	frequently	ADV
cana-2083	25	19	applied	apply	VERB
cana-2083	25	20	.	.	PUNCT
cana-2083	26	1	one	one	NUM
cana-2083	26	2	of	of	ADP
cana-2083	26	3	such	such	ADJ
cana-2083	26	4	methods	method	NOUN
cana-2083	26	5	is	be	AUX
cana-2083	26	6	use	use	NOUN
cana-2083	26	7	of	of	ADP
cana-2083	26	8	multivariate	multivariate	NOUN
cana-2083	26	9	normal	normal	ADJ
cana-2083	26	10	distribution	distribution	NOUN
cana-2083	26	11	(	(	PUNCT
cana-2083	26	12	mvn	mvn	NOUN
cana-2083	26	13	)	)	PUNCT
cana-2083	26	14	.	.	PUNCT
cana-2083	27	1	multivariate	multivariate	VERB
cana-2083	27	2	normal	normal	ADJ
cana-2083	27	3	distribution	distribution	NOUN
cana-2083	27	4	is	be	AUX
cana-2083	27	5	used	use	VERB
cana-2083	27	6	in	in	ADP
cana-2083	27	7	case	case	NOUN
cana-2083	27	8	when	when	SCONJ
cana-2083	27	9	the	the	DET
cana-2083	27	10	different	different	ADJ
cana-2083	27	11	variables	variable	NOUN
cana-2083	27	12	of	of	ADP
cana-2083	27	13	the	the	DET
cana-2083	27	14	data	datum	NOUN
cana-2083	27	15	are	be	AUX
cana-2083	27	16	correlated	correlate	VERB
cana-2083	27	17	.	.	PUNCT
cana-2083	28	1	a	a	DET
cana-2083	28	2	mvn	mvn	NOUN
cana-2083	28	3	involves	involve	VERB
cana-2083	28	4	the	the	DET
cana-2083	28	5	correlation	correlation	NOUN
cana-2083	28	6	matrix	matrix	NOUN
cana-2083	28	7	of	of	ADP
cana-2083	28	8	the	the	DET
cana-2083	28	9	variables	variable	NOUN
cana-2083	28	10	along	along	ADP
cana-2083	28	11	with	with	ADP
cana-2083	28	12	their	their	PRON
cana-2083	28	13	marginal	marginal	ADJ
cana-2083	28	14	distributions	distribution	NOUN
cana-2083	28	15	.	.	PUNCT
cana-2083	29	1	although	although	SCONJ
cana-2083	29	2	the	the	DET
cana-2083	29	3	mvn	mvn	NOUN
cana-2083	29	4	requires	require	VERB
cana-2083	29	5	the	the	DET
cana-2083	29	6	marginal	marginal	ADJ
cana-2083	29	7	distributions	distribution	NOUN
cana-2083	29	8	to	to	PART
cana-2083	29	9	be	be	AUX
cana-2083	29	10	normal	normal	ADJ
cana-2083	29	11	,	,	PUNCT
cana-2083	29	12	this	this	DET
cana-2083	29	13	condition	condition	NOUN
cana-2083	29	14	is	be	AUX
cana-2083	29	15	not	not	PART
cana-2083	29	16	met	meet	VERB
cana-2083	29	17	in	in	ADP
cana-2083	29	18	general	general	ADJ
cana-2083	29	19	.	.	PUNCT
cana-2083	30	1	transformations	transformation	NOUN
cana-2083	30	2	are	be	AUX
cana-2083	30	3	then	then	ADV
cana-2083	30	4	applied	apply	VERB
cana-2083	30	5	to	to	PART
cana-2083	30	6	convert	convert	VERB
cana-2083	30	7	the	the	DET
cana-2083	30	8	nonnormal	nonnormal	ADJ
cana-2083	30	9	variable(s	variable(s	NOUN
cana-2083	30	10	)	)	PUNCT
cana-2083	30	11	to	to	ADP
cana-2083	30	12	normal	normal	ADJ
cana-2083	30	13	variable(s	variable(s	NOUN
cana-2083	30	14	)	)	PUNCT
cana-2083	30	15	.	.	PUNCT
cana-2083	31	1	the	the	DET
cana-2083	31	2	most	most	ADV
cana-2083	31	3	commonly	commonly	ADV
cana-2083	31	4	used	use	VERB
cana-2083	31	5	transformations	transformation	NOUN
cana-2083	31	6	are	be	AUX
cana-2083	31	7	the	the	DET
cana-2083	31	8	box	box	NOUN
cana-2083	31	9	-	-	PUNCT
cana-2083	31	10	cox	cox	PROPN
cana-2083	31	11	transformation	transformation	NOUN
cana-2083	31	12	and	and	CCONJ
cana-2083	31	13	the	the	DET
cana-2083	31	14	power	power	NOUN
cana-2083	31	15	transformations	transformation	NOUN
cana-2083	31	16	.	.	PUNCT
cana-2083	32	1	if	if	SCONJ
cana-2083	32	2	the	the	DET
cana-2083	32	3	number	number	NOUN
cana-2083	32	4	of	of	ADP
cana-2083	32	5	variables	variable	NOUN
cana-2083	32	6	is	be	AUX
cana-2083	32	7	two	two	NUM
cana-2083	32	8	,	,	PUNCT
cana-2083	32	9	the	the	DET
cana-2083	32	10	mvn	mvn	ADJ
cana-2083	32	11	distribution	distribution	NOUN
cana-2083	32	12	reduces	reduce	VERB
cana-2083	32	13	to	to	ADP
cana-2083	32	14	a	a	DET
cana-2083	32	15	bivariate	bivariate	ADJ
cana-2083	32	16	normal	normal	ADJ
cana-2083	32	17	distribution	distribution	NOUN
cana-2083	32	18	(	(	PUNCT
cana-2083	32	19	bvn	bvn	NOUN
cana-2083	32	20	)	)	PUNCT
cana-2083	32	21	.	.	PUNCT
cana-2083	33	1	lipow	lipow	ADJ
cana-2083	33	2	and	and	CCONJ
cana-2083	33	3	eidemiller	eidemiller	NOUN
cana-2083	33	4	applied	apply	VERB
cana-2083	33	5	bvn	bvn	NOUN
cana-2083	33	6	distribution	distribution	NOUN
cana-2083	33	7	to	to	PART
cana-2083	33	8	study	study	VERB
cana-2083	33	9	the	the	DET
cana-2083	33	10	relationship	relationship	NOUN
cana-2083	33	11	between	between	ADP
cana-2083	33	12	stress	stress	NOUN
cana-2083	33	13	and	and	CCONJ
cana-2083	33	14	strength	strength	NOUN
cana-2083	33	15	in	in	ADP
cana-2083	33	16	the	the	DET
cana-2083	33	17	reliability	reliability	NOUN
cana-2083	33	18	study	study	NOUN
cana-2083	33	19	problem	problem	NOUN
cana-2083	33	20	(	(	PUNCT
cana-2083	33	21	lipow	lipow	ADJ
cana-2083	33	22	and	and	CCONJ
cana-2083	33	23	eidemiller	eidemiller	NOUN
cana-2083	33	24	,	,	PUNCT
cana-2083	33	25	1964	1964	NUM
cana-2083	33	26	)	)	PUNCT
cana-2083	33	27	.	.	PUNCT
cana-2083	34	1	yue	yue	PROPN
cana-2083	34	2	applied	apply	VERB
cana-2083	34	3	bvn	bvn	PROPN
cana-2083	34	4	distributions	distribution	NOUN
cana-2083	34	5	to	to	PART
cana-2083	34	6	solve	solve	VERB
cana-2083	34	7	problems	problem	NOUN
cana-2083	34	8	of	of	ADP
cana-2083	34	9	hydrological	hydrological	ADJ
cana-2083	34	10	engineering	engineering	NOUN
cana-2083	34	11	design	design	NOUN
cana-2083	34	12	and	and	CCONJ
cana-2083	34	13	management	management	NOUN
cana-2083	34	14	(	(	PUNCT
cana-2083	34	15	yue	yue	PROPN
cana-2083	34	16	,	,	PUNCT
cana-2083	34	17	1999	1999	NUM
cana-2083	34	18	)	)	PUNCT
cana-2083	34	19	.	.	PUNCT
cana-2083	35	1	grover	grover	PROPN
cana-2083	35	2	et	et	PROPN
cana-2083	35	3	al	al	PROPN
cana-2083	35	4	.	.	PROPN
cana-2083	35	5	applied	apply	VERB
cana-2083	35	6	mvn	mvn	ADJ
cana-2083	35	7	and	and	CCONJ
cana-2083	35	8	bvn	bvn	NOUN
cana-2083	35	9	distributions	distribution	NOUN
cana-2083	35	10	to	to	PART
cana-2083	35	11	estimate	estimate	VERB
cana-2083	35	12	the	the	DET
cana-2083	35	13	duration	duration	NOUN
cana-2083	35	14	of	of	ADP
cana-2083	35	15	diabetes	diabetes	NOUN
cana-2083	35	16	on	on	ADP
cana-2083	35	17	the	the	DET
cana-2083	35	18	basis	basis	NOUN
cana-2083	35	19	of	of	ADP
cana-2083	35	20	low	low	ADJ
cana-2083	35	21	-	-	PUNCT
cana-2083	35	22	density	density	NOUN
cana-2083	35	23	lipoprotein	lipoprotein	ADJ
cana-2083	35	24	(	(	PUNCT
cana-2083	35	25	ldl	ldl	NOUN
cana-2083	35	26	)	)	PUNCT
cana-2083	35	27	,	,	PUNCT
cana-2083	35	28	fasting	fast	VERB
cana-2083	35	29	blood	blood	NOUN
cana-2083	35	30	sugar	sugar	NOUN
cana-2083	35	31	(	(	PUNCT
cana-2083	35	32	fbg	fbg	PROPN
cana-2083	35	33	)	)	PUNCT
cana-2083	35	34	and	and	CCONJ
cana-2083	35	35	systolic	systolic	ADJ
cana-2083	35	36	blood	blood	NOUN
cana-2083	35	37	pressure	pressure	NOUN
cana-2083	35	38	(	(	PUNCT
cana-2083	35	39	sbp	sbp	NOUN
cana-2083	35	40	)	)	PUNCT
cana-2083	35	41	(	(	PUNCT
cana-2083	35	42	grover	grover	NOUN
cana-2083	35	43	et	et	PROPN
cana-2083	35	44	al	al	PROPN
cana-2083	35	45	.	.	PROPN
cana-2083	35	46	,	,	PUNCT
cana-2083	35	47	2014	2014	NUM
cana-2083	35	48	)	)	PUNCT
cana-2083	35	49	.	.	PUNCT
cana-2083	36	1	in	in	ADP
cana-2083	36	2	another	another	DET
cana-2083	36	3	study	study	NOUN
cana-2083	36	4	,	,	PUNCT
cana-2083	36	5	grover	grover	PROPN
cana-2083	36	6	et	et	PROPN
cana-2083	36	7	al	al	PROPN
cana-2083	36	8	.	.	PROPN
cana-2083	36	9	applied	apply	VERB
cana-2083	36	10	mvn	mvn	NOUN
cana-2083	36	11	for	for	ADP
cana-2083	36	12	estimating	estimate	VERB
cana-2083	36	13	the	the	DET
cana-2083	36	14	length	length	NOUN
cana-2083	36	15	of	of	ADP
cana-2083	36	16	stay	stay	NOUN
cana-2083	36	17	(	(	PUNCT
cana-2083	36	18	los	los	PROPN
cana-2083	36	19	)	)	PUNCT
cana-2083	36	20	in	in	ADP
cana-2083	36	21	the	the	DET
cana-2083	36	22	hospital	hospital	NOUN
cana-2083	36	23	,	,	PUNCT
cana-2083	36	24	duration	duration	NOUN
cana-2083	36	25	of	of	ADP
cana-2083	36	26	disease	disease	NOUN
cana-2083	36	27	and	and	CCONJ
cana-2083	36	28	severity	severity	NOUN
cana-2083	36	29	of	of	ADP
cana-2083	36	30	the	the	DET
cana-2083	36	31	disease	disease	NOUN
cana-2083	36	32	on	on	ADP
cana-2083	36	33	a	a	DET
cana-2083	36	34	group	group	NOUN
cana-2083	36	35	of	of	ADP
cana-2083	36	36	146	146	NUM
cana-2083	36	37	inpatients	inpatient	NOUN
cana-2083	36	38	diagnosed	diagnose	VERB
cana-2083	36	39	with	with	ADP
cana-2083	36	40	mental	mental	ADJ
cana-2083	36	41	and	and	CCONJ
cana-2083	36	42	behavioural	behavioural	ADJ
cana-2083	36	43	problems	problem	NOUN
cana-2083	36	44	(	(	PUNCT
cana-2083	36	45	grover	grover	PROPN
cana-2083	36	46	et	et	PROPN
cana-2083	36	47	al	al	PROPN
cana-2083	36	48	.	.	PROPN
cana-2083	36	49	,	,	PUNCT
cana-2083	36	50	2015	2015	NUM
cana-2083	36	51	)	)	PUNCT
cana-2083	36	52	.	.	PUNCT
cana-2083	37	1	psychological	psychological	ADJ
cana-2083	37	2	health	health	NOUN
cana-2083	37	3	of	of	ADP
cana-2083	37	4	an	an	DET
cana-2083	37	5	individual	individual	NOUN
cana-2083	37	6	is	be	AUX
cana-2083	37	7	essentially	essentially	ADV
cana-2083	37	8	assessed	assess	VERB
cana-2083	37	9	with	with	ADP
cana-2083	37	10	the	the	DET
cana-2083	37	11	help	help	NOUN
cana-2083	37	12	of	of	ADP
cana-2083	37	13	questionnaires	questionnaire	NOUN
cana-2083	37	14	which	which	PRON
cana-2083	37	15	are	be	AUX
cana-2083	37	16	multidimensional	multidimensional	ADJ
cana-2083	37	17	in	in	ADP
cana-2083	37	18	nature	nature	NOUN
cana-2083	37	19	.	.	PUNCT
cana-2083	38	1	sometimes	sometimes	ADV
cana-2083	38	2	more	more	ADJ
cana-2083	38	3	than	than	ADP
cana-2083	38	4	one	one	NUM
cana-2083	38	5	questionnaire	questionnaire	NOUN
cana-2083	38	6	is	be	AUX
cana-2083	38	7	needed	need	VERB
cana-2083	38	8	to	to	PART
cana-2083	38	9	have	have	VERB
cana-2083	38	10	a	a	DET
cana-2083	38	11	comprehensive	comprehensive	ADJ
cana-2083	38	12	view	view	NOUN
cana-2083	38	13	of	of	ADP
cana-2083	38	14	the	the	DET
cana-2083	38	15	psychological	psychological	ADJ
cana-2083	38	16	health	health	NOUN
cana-2083	38	17	of	of	ADP
cana-2083	38	18	the	the	DET
cana-2083	38	19	individual	individual	NOUN
cana-2083	38	20	.	.	PUNCT
cana-2083	39	1	purpose	purpose	NOUN
cana-2083	39	2	of	of	ADP
cana-2083	39	3	using	use	VERB
cana-2083	39	4	more	more	ADJ
cana-2083	39	5	than	than	ADP
cana-2083	39	6	one	one	NUM
cana-2083	39	7	questionnaire	questionnaire	NOUN
cana-2083	39	8	is	be	AUX
cana-2083	39	9	to	to	PART
cana-2083	39	10	cross	cross	VERB
cana-2083	39	11	-	-	VERB
cana-2083	39	12	validate	validate	VERB
cana-2083	39	13	the	the	DET
cana-2083	39	14	data	datum	NOUN
cana-2083	39	15	collected	collect	VERB
cana-2083	39	16	through	through	ADP
cana-2083	39	17	the	the	DET
cana-2083	39	18	different	different	ADJ
cana-2083	39	19	questionnaires	questionnaire	NOUN
cana-2083	39	20	as	as	ADV
cana-2083	39	21	well	well	ADV
cana-2083	39	22	as	as	ADP
cana-2083	39	23	to	to	PART
cana-2083	39	24	complement	complement	VERB
cana-2083	39	25	the	the	DET
cana-2083	39	26	missing	miss	VERB
cana-2083	39	27	information	information	NOUN
cana-2083	39	28	,	,	PUNCT
cana-2083	39	29	if	if	SCONJ
cana-2083	39	30	any	any	PRON
cana-2083	39	31	.	.	PUNCT
cana-2083	40	1	in	in	ADP
cana-2083	40	2	fact	fact	NOUN
cana-2083	40	3	,	,	PUNCT
cana-2083	40	4	a	a	DET
cana-2083	40	5	judicious	judicious	ADJ
cana-2083	40	6	choice	choice	NOUN
cana-2083	40	7	of	of	ADP
cana-2083	40	8	questionnaires	questionnaire	NOUN
cana-2083	40	9	not	not	PART
cana-2083	40	10	only	only	ADV
cana-2083	40	11	ensures	ensure	VERB
cana-2083	40	12	the	the	DET
cana-2083	40	13	consistency	consistency	NOUN
cana-2083	40	14	in	in	ADP
cana-2083	40	15	the	the	DET
cana-2083	40	16	responses	response	NOUN
cana-2083	40	17	but	but	CCONJ
cana-2083	40	18	also	also	ADV
cana-2083	40	19	can	can	AUX
cana-2083	40	20	be	be	AUX
cana-2083	40	21	used	use	VERB
cana-2083	40	22	to	to	PART
cana-2083	40	23	overcome	overcome	VERB
cana-2083	40	24	the	the	DET
cana-2083	40	25	shortcoming	shortcoming	NOUN
cana-2083	40	26	of	of	ADP
cana-2083	40	27	any	any	DET
cana-2083	40	28	questionnaire	questionnaire	NOUN
cana-2083	40	29	.	.	PUNCT
cana-2083	41	1	questionnaires	questionnaire	NOUN
cana-2083	41	2	are	be	AUX
cana-2083	41	3	designed	design	VERB
cana-2083	41	4	keeping	keep	VERB
cana-2083	41	5	in	in	ADP
cana-2083	41	6	mind	mind	NOUN
cana-2083	41	7	the	the	DET
cana-2083	41	8	target	target	NOUN
cana-2083	41	9	group	group	NOUN
cana-2083	41	10	under	under	ADP
cana-2083	41	11	observation	observation	NOUN
cana-2083	41	12	as	as	ADV
cana-2083	41	13	well	well	ADV
cana-2083	41	14	as	as	ADP
cana-2083	41	15	the	the	DET
cana-2083	41	16	purpose	purpose	NOUN
cana-2083	41	17	of	of	ADP
cana-2083	41	18	study	study	NOUN
cana-2083	41	19	/	/	SYM
cana-2083	41	20	observation	observation	NOUN
cana-2083	41	21	.	.	PUNCT
cana-2083	42	1	in	in	ADP
cana-2083	42	2	this	this	DET
cana-2083	42	3	study	study	NOUN
cana-2083	42	4	,	,	PUNCT
cana-2083	42	5	the	the	DET
cana-2083	42	6	authors	author	NOUN
cana-2083	42	7	used	use	VERB
cana-2083	42	8	the	the	DET
cana-2083	42	9	general	general	ADJ
cana-2083	42	10	health	health	NOUN
cana-2083	42	11	questionnaire	questionnaire	NOUN
cana-2083	42	12	(	(	PUNCT
cana-2083	42	13	ghq	ghq	NOUN
cana-2083	42	14	)	)	PUNCT
cana-2083	42	15	,	,	PUNCT
cana-2083	42	16	and	and	CCONJ
cana-2083	42	17	the	the	DET
cana-2083	42	18	strength	strength	NOUN
cana-2083	42	19	and	and	CCONJ
cana-2083	42	20	difficulties	difficulty	NOUN
cana-2083	42	21	questionnaire	questionnaire	NOUN
cana-2083	42	22	(	(	PUNCT
cana-2083	42	23	sdq	sdq	PROPN
cana-2083	42	24	)	)	PUNCT
cana-2083	42	25	17	17	NUM
cana-2083	42	26	+	+	CCONJ
cana-2083	42	27	extended	extended	ADJ
cana-2083	42	28	version	version	NOUN
cana-2083	42	29	.	.	PUNCT
cana-2083	43	1	the	the	DET
cana-2083	43	2	ghq	ghq	NOUN
cana-2083	43	3	,	,	PUNCT
cana-2083	43	4	developed	develop	VERB
cana-2083	43	5	by	by	ADP
cana-2083	43	6	dr	dr	PROPN
cana-2083	43	7	.	.	PROPN
cana-2083	43	8	david	david	PROPN
cana-2083	43	9	goldberg	goldberg	PROPN
cana-2083	43	10	in	in	ADP
cana-2083	43	11	1970	1970	NUM
cana-2083	43	12	,	,	PUNCT
cana-2083	43	13	is	be	AUX
cana-2083	43	14	a	a	DET
cana-2083	43	15	commonly	commonly	ADV
cana-2083	43	16	used	use	VERB
cana-2083	43	17	,	,	PUNCT
cana-2083	43	18	self	self	NOUN
cana-2083	43	19	-	-	PUNCT
cana-2083	43	20	administered	administer	VERB
cana-2083	43	21	screening	screening	NOUN
cana-2083	43	22	tool	tool	NOUN
cana-2083	43	23	designed	design	VERB
cana-2083	43	24	to	to	PART
cana-2083	43	25	detect	detect	VERB
cana-2083	43	26	current	current	ADJ
cana-2083	43	27	state	state	NOUN
cana-2083	43	28	mental	mental	ADJ
cana-2083	43	29	disturbances	disturbance	NOUN
cana-2083	43	30	and	and	CCONJ
cana-2083	43	31	the	the	DET
cana-2083	43	32	health	health	NOUN
cana-2083	43	33	of	of	ADP
cana-2083	43	34	the	the	DET
cana-2083	43	35	last	last	ADJ
cana-2083	43	36	4	4	NUM
cana-2083	43	37	-	-	SYM
cana-2083	43	38	6	6	NUM
cana-2083	43	39	weeks	week	NOUN
cana-2083	43	40	(	(	PUNCT
cana-2083	43	41	goldberg	goldberg	PROPN
cana-2083	43	42	and	and	CCONJ
cana-2083	43	43	hillier	hilli	ADJ
cana-2083	43	44	,	,	PUNCT
cana-2083	43	45	1979	1979	NUM
cana-2083	43	46	)	)	PUNCT
cana-2083	43	47	.	.	PUNCT
cana-2083	44	1	it	it	PRON
cana-2083	44	2	consists	consist	VERB
cana-2083	44	3	of	of	ADP
cana-2083	44	4	12	12	NUM
cana-2083	44	5	items	item	NOUN
cana-2083	44	6	that	that	PRON
cana-2083	44	7	assess	assess	VERB
cana-2083	44	8	various	various	ADJ
cana-2083	44	9	aspects	aspect	NOUN
cana-2083	44	10	of	of	ADP
cana-2083	44	11	an	an	DET
cana-2083	44	12	individual	individual	NOUN
cana-2083	44	13	's	's	PART
cana-2083	44	14	mental	mental	ADJ
cana-2083	44	15	health	health	NOUN
cana-2083	44	16	,	,	PUNCT
cana-2083	44	17	including	include	VERB
cana-2083	44	18	mood	mood	NOUN
cana-2083	44	19	,	,	PUNCT
cana-2083	44	20	anxiety	anxiety	NOUN
cana-2083	44	21	,	,	PUNCT
cana-2083	44	22	and	and	CCONJ
cana-2083	44	23	social	social	ADJ
cana-2083	44	24	functioning	functioning	NOUN
cana-2083	44	25	.	.	PUNCT
cana-2083	45	1	the	the	DET
cana-2083	45	2	sdq	sdq	PROPN
cana-2083	45	3	,	,	PUNCT
cana-2083	45	4	developed	develop	VERB
cana-2083	45	5	by	by	ADP
cana-2083	45	6	robert	robert	PROPN
cana-2083	45	7	goodman	goodman	PROPN
cana-2083	45	8	in	in	ADP
cana-2083	45	9	1997	1997	NUM
cana-2083	45	10	,	,	PUNCT
cana-2083	45	11	is	be	AUX
cana-2083	45	12	used	use	VERB
cana-2083	45	13	to	to	PART
cana-2083	45	14	assess	assess	VERB
cana-2083	45	15	strength	strength	NOUN
cana-2083	45	16	and	and	CCONJ
cana-2083	45	17	difficulties	difficulty	NOUN
cana-2083	45	18	among	among	ADP
cana-2083	45	19	children	child	NOUN
cana-2083	45	20	and	and	CCONJ
cana-2083	45	21	young	young	ADJ
cana-2083	45	22	adults	adult	NOUN
cana-2083	45	23	(	(	PUNCT
cana-2083	45	24	goodman	goodman	PROPN
cana-2083	45	25	,	,	PUNCT
cana-2083	45	26	1997	1997	NUM
cana-2083	45	27	)	)	PUNCT
cana-2083	45	28	.	.	PUNCT
cana-2083	46	1	it	it	PRON
cana-2083	46	2	has	have	VERB
cana-2083	46	3	two	two	NUM
cana-2083	46	4	versions	version	NOUN
cana-2083	46	5	:	:	PUNCT
cana-2083	46	6	the	the	DET
cana-2083	46	7	basic	basic	ADJ
cana-2083	46	8	version	version	NOUN
cana-2083	46	9	and	and	CCONJ
cana-2083	46	10	the	the	DET
cana-2083	46	11	extended	extended	ADJ
cana-2083	46	12	version	version	NOUN
cana-2083	46	13	.	.	PUNCT
cana-2083	47	1	a	a	DET
cana-2083	47	2	series	series	NOUN
cana-2083	47	3	of	of	ADP
cana-2083	47	4	three	three	NUM
cana-2083	47	5	independent	independent	ADJ
cana-2083	47	6	surveys	survey	NOUN
cana-2083	47	7	was	be	AUX
cana-2083	47	8	conducted	conduct	VERB
cana-2083	47	9	during	during	ADP
cana-2083	47	10	covid-19	covid-19	PROPN
cana-2083	47	11	pandemic	pandemic	NOUN
cana-2083	47	12	,	,	PUNCT
cana-2083	47	13	from	from	ADP
cana-2083	47	14	may	may	PROPN
cana-2083	47	15	–	–	PUNCT
cana-2083	47	16	june	june	PROPN
cana-2083	47	17	2020	2020	NUM
cana-2083	47	18	to	to	ADP
cana-2083	47	19	january	january	PROPN
cana-2083	47	20	–	–	PUNCT
cana-2083	47	21	february	february	PROPN
cana-2083	47	22	2022	2022	NUM
cana-2083	47	23	.	.	PUNCT
cana-2083	48	1	each	each	PRON
cana-2083	48	2	of	of	ADP
cana-2083	48	3	the	the	DET
cana-2083	48	4	survey	survey	NOUN
cana-2083	48	5	was	be	AUX
cana-2083	48	6	conducted	conduct	VERB
cana-2083	48	7	after	after	ADP
cana-2083	48	8	occurrence	occurrence	NOUN
cana-2083	48	9	of	of	ADP
cana-2083	48	10	some	some	DET
cana-2083	48	11	gamechanging	gamechange	VERB
cana-2083	48	12	event	event	NOUN
cana-2083	48	13	.	.	PUNCT
cana-2083	49	1	the	the	DET
cana-2083	49	2	first	first	ADJ
cana-2083	49	3	survey	survey	NOUN
cana-2083	49	4	was	be	AUX
cana-2083	49	5	held	hold	VERB
cana-2083	49	6	during	during	ADP
cana-2083	49	7	may	may	PROPN
cana-2083	49	8	–	–	PUNCT
cana-2083	49	9	june	june	PROPN
cana-2083	49	10	2020	2020	NUM
cana-2083	49	11	,	,	PUNCT
cana-2083	49	12	when	when	SCONJ
cana-2083	49	13	the	the	DET
cana-2083	49	14	lockdown	lockdown	NOUN
cana-2083	49	15	was	be	AUX
cana-2083	49	16	freshly	freshly	ADV
cana-2083	49	17	imposed	impose	VERB
cana-2083	49	18	.	.	PUNCT
cana-2083	50	1	the	the	DET
cana-2083	50	2	second	second	ADJ
cana-2083	50	3	survey	survey	NOUN
cana-2083	50	4	was	be	AUX
cana-2083	50	5	held	hold	VERB
cana-2083	50	6	in	in	ADP
cana-2083	50	7	october	october	PROPN
cana-2083	50	8	2020	2020	NUM
cana-2083	50	9	–	–	PUNCT
cana-2083	50	10	february	february	NOUN
cana-2083	50	11	2021	2021	NUM
cana-2083	50	12	,	,	PUNCT
cana-2083	50	13	when	when	SCONJ
cana-2083	50	14	the	the	DET
cana-2083	50	15	first	first	ADJ
cana-2083	50	16	covid-19	covid-19	PROPN
cana-2083	50	17	wave	wave	NOUN
cana-2083	50	18	had	have	AUX
cana-2083	50	19	almost	almost	ADV
cana-2083	50	20	subsided	subside	VERB
cana-2083	50	21	.	.	PUNCT
cana-2083	51	1	however	however	ADV
cana-2083	51	2	,	,	PUNCT
cana-2083	51	3	soon	soon	ADV
cana-2083	51	4	after	after	SCONJ
cana-2083	51	5	the	the	DET
cana-2083	51	6	deadly	deadly	ADJ
cana-2083	51	7	‘	'	PUNCT
cana-2083	51	8	delta	delta	ADJ
cana-2083	51	9	’	'	PUNCT
cana-2083	51	10	wave	wave	NOUN
cana-2083	51	11	had	have	AUX
cana-2083	51	12	struck	strike	VERB
cana-2083	51	13	,	,	PUNCT
cana-2083	51	14	causing	cause	VERB
cana-2083	51	15	a	a	DET
cana-2083	51	16	huge	huge	ADJ
cana-2083	51	17	havoc	havoc	NOUN
cana-2083	51	18	on	on	ADP
cana-2083	51	19	the	the	DET
cana-2083	51	20	society	society	NOUN
cana-2083	51	21	.	.	PUNCT
cana-2083	52	1	the	the	DET
cana-2083	52	2	large	large	ADJ
cana-2083	52	3	number	number	NOUN
cana-2083	52	4	of	of	ADP
cana-2083	52	5	morbidities	morbidity	NOUN
cana-2083	52	6	and	and	CCONJ
cana-2083	52	7	mortality	mortality	NOUN
cana-2083	52	8	severely	severely	ADV
cana-2083	52	9	affected	affect	VERB
cana-2083	52	10	the	the	DET
cana-2083	52	11	mental	mental	ADJ
cana-2083	52	12	health	health	NOUN
cana-2083	52	13	of	of	ADP
cana-2083	52	14	people	people	NOUN
cana-2083	52	15	at	at	ADP
cana-2083	52	16	large	large	ADJ
cana-2083	52	17	.	.	PUNCT
cana-2083	53	1	in	in	ADP
cana-2083	53	2	this	this	DET
cana-2083	53	3	light	light	NOUN
cana-2083	53	4	,	,	PUNCT
cana-2083	53	5	we	we	PRON
cana-2083	53	6	conducted	conduct	VERB
cana-2083	53	7	the	the	DET
cana-2083	53	8	third	third	ADJ
cana-2083	53	9	survey	survey	NOUN
cana-2083	53	10	,	,	PUNCT
cana-2083	53	11	during	during	ADP
cana-2083	53	12	the	the	DET
cana-2083	53	13	months	month	NOUN
cana-2083	53	14	of	of	ADP
cana-2083	53	15	january	january	PROPN
cana-2083	53	16	–	–	PUNCT
cana-2083	53	17	february	february	PROPN
cana-2083	53	18	2022	2022	NUM
cana-2083	53	19	.	.	PUNCT
cana-2083	54	1	while	while	SCONJ
cana-2083	54	2	all	all	DET
cana-2083	54	3	the	the	DET
cana-2083	54	4	three	three	NUM
cana-2083	54	5	surveys	survey	NOUN
cana-2083	54	6	were	be	AUX
cana-2083	54	7	conducted	conduct	VERB
cana-2083	54	8	using	use	VERB
cana-2083	54	9	the	the	DET
cana-2083	54	10	sdq	sdq	NOUN
cana-2083	54	11	in	in	ADP
cana-2083	54	12	order	order	NOUN
cana-2083	54	13	to	to	PART
cana-2083	54	14	measure	measure	VERB
cana-2083	54	15	the	the	DET
cana-2083	54	16	psychological	psychological	ADJ
cana-2083	54	17	health	health	NOUN
cana-2083	54	18	of	of	ADP
cana-2083	54	19	the	the	DET
cana-2083	54	20	young	young	ADJ
cana-2083	54	21	adults	adult	NOUN
cana-2083	54	22	,	,	PUNCT
cana-2083	54	23	in	in	ADP
cana-2083	54	24	the	the	DET
cana-2083	54	25	third	third	ADJ
cana-2083	54	26	survey	survey	NOUN
cana-2083	54	27	we	we	PRON
cana-2083	54	28	used	use	VERB
cana-2083	54	29	the	the	DET
cana-2083	54	30	ghq-12	ghq-12	NOUN
cana-2083	54	31	additionally	additionally	ADV
cana-2083	54	32	,	,	PUNCT
cana-2083	54	33	a	a	DET
cana-2083	54	34	questionnaire	questionnaire	NOUN
cana-2083	54	35	which	which	PRON
cana-2083	54	36	is	be	AUX
cana-2083	54	37	used	use	VERB
cana-2083	54	38	to	to	PART
cana-2083	54	39	measure	measure	VERB
cana-2083	54	40	the	the	DET
cana-2083	54	41	recent	recent	ADJ
cana-2083	54	42	(	(	PUNCT
cana-2083	54	43	up	up	ADP
cana-2083	54	44	to	to	PART
cana-2083	54	45	4	4	NUM
cana-2083	54	46	weeks	week	NOUN
cana-2083	54	47	)	)	PUNCT
cana-2083	54	48	psychological	psychological	ADJ
cana-2083	54	49	health	health	NOUN
cana-2083	54	50	.	.	PUNCT
cana-2083	55	1	whereas	whereas	SCONJ
cana-2083	55	2	sdq	sdq	NOUN
cana-2083	55	3	is	be	AUX
cana-2083	55	4	students	student	NOUN
cana-2083	55	5	’	'	PUNCT
cana-2083	55	6	based	base	VERB
cana-2083	55	7	questionnaire	questionnaire	NOUN
cana-2083	55	8	,	,	PUNCT
cana-2083	55	9	ghq-12	ghq-12	NOUN
cana-2083	55	10	is	be	AUX
cana-2083	55	11	widely	widely	ADV
cana-2083	55	12	used	use	VERB
cana-2083	55	13	for	for	ADP
cana-2083	55	14	every	every	DET
cana-2083	55	15	age	age	NOUN
cana-2083	55	16	group	group	NOUN
cana-2083	55	17	.	.	PUNCT
cana-2083	56	1	this	this	DET
cana-2083	56	2	study	study	NOUN
cana-2083	56	3	was	be	AUX
cana-2083	56	4	initiated	initiate	VERB
cana-2083	56	5	on	on	ADP
cana-2083	56	6	the	the	DET
cana-2083	56	7	basis	basis	NOUN
cana-2083	56	8	of	of	ADP
cana-2083	56	9	the	the	DET
cana-2083	56	10	data	datum	NOUN
cana-2083	56	11	collected	collect	VERB
cana-2083	56	12	during	during	ADP
cana-2083	56	13	the	the	DET
cana-2083	56	14	third	third	ADJ
cana-2083	56	15	survey	survey	NOUN
cana-2083	56	16	as	as	SCONJ
cana-2083	56	17	this	this	DET
cana-2083	56	18	data	datum	NOUN
cana-2083	56	19	contained	contain	VERB
cana-2083	56	20	information	information	NOUN
cana-2083	56	21	collected	collect	VERB
cana-2083	56	22	through	through	ADP
cana-2083	56	23	sdq	sdq	NOUN
cana-2083	56	24	as	as	ADV
cana-2083	56	25	well	well	ADV
cana-2083	56	26	as	as	ADP
cana-2083	56	27	ghq-12	ghq-12	NOUN
cana-2083	56	28	.	.	PUNCT
cana-2083	57	1	the	the	DET
cana-2083	57	2	objective	objective	NOUN
cana-2083	57	3	of	of	ADP
cana-2083	57	4	this	this	DET
cana-2083	57	5	study	study	NOUN
cana-2083	57	6	was	be	AUX
cana-2083	57	7	to	to	PART
cana-2083	57	8	examine	examine	VERB
cana-2083	57	9	if	if	SCONJ
cana-2083	57	10	it	it	PRON
cana-2083	57	11	is	be	AUX
cana-2083	57	12	possible	possible	ADJ
cana-2083	57	13	to	to	PART
cana-2083	57	14	estimate	estimate	VERB
cana-2083	57	15	one	one	NUM
cana-2083	57	16	score	score	NOUN
cana-2083	57	17	from	from	ADP
cana-2083	57	18	the	the	DET
cana-2083	57	19	other	other	ADJ
cana-2083	57	20	through	through	ADP
cana-2083	57	21	appropriate	appropriate	ADJ
cana-2083	57	22	modeling	modeling	NOUN
cana-2083	57	23	.	.	PUNCT
cana-2083	58	1	for	for	ADP
cana-2083	58	2	this	this	DET
cana-2083	58	3	objective	objective	NOUN
cana-2083	58	4	,	,	PUNCT
cana-2083	58	5	we	we	PRON
cana-2083	58	6	intended	intend	VERB
cana-2083	58	7	to	to	PART
cana-2083	58	8	obtain	obtain	VERB
cana-2083	58	9	a	a	DET
cana-2083	58	10	relationship	relationship	NOUN
cana-2083	58	11	(	(	PUNCT
cana-2083	58	12	if	if	SCONJ
cana-2083	58	13	any	any	PRON
cana-2083	58	14	)	)	PUNCT
cana-2083	58	15	between	between	ADP
cana-2083	58	16	the	the	DET
cana-2083	58	17	information	information	NOUN
cana-2083	58	18	obtained	obtain	VERB
cana-2083	58	19	through	through	ADP
cana-2083	58	20	the	the	DET
cana-2083	58	21	two	two	NUM
cana-2083	58	22	communications	communication	NOUN
cana-2083	58	23	on	on	ADP
cana-2083	58	24	applied	apply	VERB
cana-2083	58	25	nonlinear	nonlinear	ADJ
cana-2083	58	26	analysis	analysis	NOUN
cana-2083	58	27	issn	issn	NOUN
cana-2083	58	28	:	:	PUNCT
cana-2083	58	29	1074	1074	NUM
cana-2083	58	30	-	-	PUNCT
cana-2083	58	31	133x	133x	NUM
cana-2083	58	32	vol	vol	NOUN
cana-2083	58	33	32	32	NUM
cana-2083	58	34	no	no	NOUN
cana-2083	58	35	.	.	PUNCT
cana-2083	59	1	1s	1s	NUM
cana-2083	59	2	(	(	PUNCT
cana-2083	59	3	2025	2025	NUM
cana-2083	59	4	)	)	PUNCT
cana-2083	59	5	3	3	NUM
cana-2083	59	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2083	59	7	questionnaires	questionnaire	NOUN
cana-2083	59	8	(	(	PUNCT
cana-2083	59	9	difficulty	difficulty	NOUN
cana-2083	59	10	score	score	NOUN
cana-2083	59	11	of	of	ADP
cana-2083	59	12	sdq	sdq	NOUN
cana-2083	59	13	and	and	CCONJ
cana-2083	59	14	total	total	ADJ
cana-2083	59	15	score	score	NOUN
cana-2083	59	16	of	of	ADP
cana-2083	59	17	ghq-12	ghq-12	NOUN
cana-2083	59	18	,	,	PUNCT
cana-2083	59	19	based	base	VERB
cana-2083	59	20	on	on	ADP
cana-2083	59	21	likert	likert	ADJ
cana-2083	59	22	scale	scale	NOUN
cana-2083	59	23	0	0	NUM
cana-2083	59	24	-	-	SYM
cana-2083	59	25	1	1	NUM
cana-2083	59	26	-	-	PUNCT
cana-2083	59	27	2	2	NUM
cana-2083	59	28	-	-	PUNCT
cana-2083	59	29	3	3	NUM
cana-2083	59	30	)	)	PUNCT
cana-2083	59	31	.	.	PUNCT
cana-2083	60	1	in	in	ADP
cana-2083	60	2	order	order	NOUN
cana-2083	60	3	to	to	PART
cana-2083	60	4	achieve	achieve	VERB
cana-2083	60	5	this	this	DET
cana-2083	60	6	objective	objective	NOUN
cana-2083	60	7	,	,	PUNCT
cana-2083	60	8	we	we	PRON
cana-2083	60	9	selected	select	VERB
cana-2083	60	10	appropriate	appropriate	ADJ
cana-2083	60	11	distributions	distribution	NOUN
cana-2083	60	12	(	(	PUNCT
cana-2083	60	13	on	on	ADP
cana-2083	60	14	the	the	DET
cana-2083	60	15	basis	basis	NOUN
cana-2083	60	16	of	of	ADP
cana-2083	60	17	aic	aic	PROPN
cana-2083	60	18	and	and	CCONJ
cana-2083	60	19	bic	bic	PROPN
cana-2083	60	20	criteria	criterion	NOUN
cana-2083	60	21	)	)	PUNCT
cana-2083	60	22	to	to	ADP
cana-2083	60	23	the	the	DET
cana-2083	60	24	two	two	NUM
cana-2083	60	25	components	component	NOUN
cana-2083	60	26	of	of	ADP
cana-2083	60	27	the	the	DET
cana-2083	60	28	data	datum	NOUN
cana-2083	60	29	.	.	PUNCT
cana-2083	61	1	the	the	DET
cana-2083	61	2	parameters	parameter	NOUN
cana-2083	61	3	of	of	ADP
cana-2083	61	4	the	the	DET
cana-2083	61	5	selected	select	VERB
cana-2083	61	6	distributions	distribution	NOUN
cana-2083	61	7	were	be	AUX
cana-2083	61	8	estimated	estimate	VERB
cana-2083	61	9	through	through	ADP
cana-2083	61	10	the	the	DET
cana-2083	61	11	method	method	NOUN
cana-2083	61	12	of	of	ADP
cana-2083	61	13	maximum	maximum	ADJ
cana-2083	61	14	likelihood	likelihood	NOUN
cana-2083	61	15	estimation	estimation	NOUN
cana-2083	61	16	(	(	PUNCT
cana-2083	61	17	mle	mle	PROPN
cana-2083	61	18	)	)	PUNCT
cana-2083	61	19	.	.	PUNCT
cana-2083	62	1	through	through	ADP
cana-2083	62	2	power	power	NOUN
cana-2083	62	3	transformations	transformation	NOUN
cana-2083	62	4	,	,	PUNCT
cana-2083	62	5	both	both	CCONJ
cana-2083	62	6	the	the	DET
cana-2083	62	7	components	component	NOUN
cana-2083	62	8	were	be	AUX
cana-2083	62	9	transformed	transform	VERB
cana-2083	62	10	to	to	PART
cana-2083	62	11	follow	follow	VERB
cana-2083	62	12	normal	normal	ADJ
cana-2083	62	13	distributions	distribution	NOUN
cana-2083	62	14	.	.	PUNCT
cana-2083	63	1	mardia	mardia	NOUN
cana-2083	63	2	test	test	NOUN
cana-2083	63	3	was	be	AUX
cana-2083	63	4	applied	apply	VERB
cana-2083	63	5	to	to	PART
cana-2083	63	6	test	test	VERB
cana-2083	63	7	the	the	DET
cana-2083	63	8	multivariate	multivariate	NOUN
cana-2083	63	9	normality	normality	NOUN
cana-2083	63	10	.	.	PUNCT
cana-2083	64	1	on	on	ADP
cana-2083	64	2	the	the	DET
cana-2083	64	3	basis	basis	NOUN
cana-2083	64	4	of	of	ADP
cana-2083	64	5	the	the	DET
cana-2083	64	6	outcome	outcome	NOUN
cana-2083	64	7	of	of	ADP
cana-2083	64	8	the	the	DET
cana-2083	64	9	test	test	NOUN
cana-2083	64	10	,	,	PUNCT
cana-2083	64	11	a	a	DET
cana-2083	64	12	bivariate	bivariate	ADJ
cana-2083	64	13	normal	normal	ADJ
cana-2083	64	14	distribution	distribution	NOUN
cana-2083	64	15	was	be	AUX
cana-2083	64	16	fitted	fit	VERB
cana-2083	64	17	using	use	VERB
cana-2083	64	18	the	the	DET
cana-2083	64	19	two	two	NUM
cana-2083	64	20	correlated	correlate	VERB
cana-2083	64	21	normal	normal	ADJ
cana-2083	64	22	variables	variable	NOUN
cana-2083	64	23	.	.	PUNCT
cana-2083	65	1	using	use	VERB
cana-2083	65	2	the	the	DET
cana-2083	65	3	parameters	parameter	NOUN
cana-2083	65	4	of	of	ADP
cana-2083	65	5	the	the	DET
cana-2083	65	6	transformed	transform	VERB
cana-2083	65	7	distributions	distribution	NOUN
cana-2083	65	8	(	(	PUNCT
cana-2083	65	9	fitted	fit	VERB
cana-2083	65	10	to	to	ADP
cana-2083	65	11	the	the	DET
cana-2083	65	12	difficulty	difficulty	NOUN
cana-2083	65	13	score	score	NOUN
cana-2083	65	14	of	of	ADP
cana-2083	65	15	sdq	sdq	NOUN
cana-2083	65	16	and	and	CCONJ
cana-2083	65	17	total	total	ADJ
cana-2083	65	18	score	score	NOUN
cana-2083	65	19	of	of	ADP
cana-2083	65	20	ghq-12	ghq-12	NOUN
cana-2083	65	21	)	)	PUNCT
cana-2083	65	22	and	and	CCONJ
cana-2083	65	23	the	the	DET
cana-2083	65	24	correlation	correlation	NOUN
cana-2083	65	25	between	between	ADP
cana-2083	65	26	them	they	PRON
cana-2083	65	27	,	,	PUNCT
cana-2083	65	28	we	we	PRON
cana-2083	65	29	simulated	simulate	VERB
cana-2083	65	30	10000	10000	NUM
cana-2083	65	31	values	value	NOUN
cana-2083	65	32	each	each	PRON
cana-2083	65	33	of	of	ADP
cana-2083	65	34	(	(	PUNCT
cana-2083	65	35	i	i	NOUN
cana-2083	65	36	)	)	PUNCT
cana-2083	65	37	marginal	marginal	ADJ
cana-2083	65	38	distribution	distribution	NOUN
cana-2083	65	39	of	of	ADP
cana-2083	65	40	the	the	DET
cana-2083	65	41	difficulty	difficulty	NOUN
cana-2083	65	42	score	score	NOUN
cana-2083	65	43	(	(	PUNCT
cana-2083	65	44	ii	ii	NOUN
cana-2083	65	45	)	)	PUNCT
cana-2083	65	46	marginal	marginal	ADJ
cana-2083	65	47	distribution	distribution	NOUN
cana-2083	65	48	of	of	ADP
cana-2083	65	49	ghq-12	ghq-12	NOUN
cana-2083	65	50	total	total	ADJ
cana-2083	65	51	(	(	PUNCT
cana-2083	65	52	iii	iii	NOUN
cana-2083	65	53	)	)	PUNCT
cana-2083	65	54	bivariate	bivariate	ADJ
cana-2083	65	55	normal	normal	ADJ
cana-2083	65	56	distribution	distribution	NOUN
cana-2083	65	57	we	we	PRON
cana-2083	65	58	used	use	VERB
cana-2083	65	59	the	the	DET
cana-2083	65	60	data	datum	NOUN
cana-2083	65	61	from	from	ADP
cana-2083	65	62	survey	survey	NOUN
cana-2083	65	63	3	3	NUM
cana-2083	65	64	(	(	PUNCT
cana-2083	65	65	dataset_1	dataset_1	PROPN
cana-2083	65	66	)	)	PUNCT
cana-2083	65	67	in	in	ADP
cana-2083	65	68	order	order	NOUN
cana-2083	65	69	to	to	PART
cana-2083	65	70	estimate	estimate	VERB
cana-2083	65	71	difficulty	difficulty	NOUN
cana-2083	65	72	score	score	NOUN
cana-2083	65	73	of	of	ADP
cana-2083	65	74	sdq	sdq	NOUN
cana-2083	65	75	through	through	ADP
cana-2083	65	76	total	total	ADJ
cana-2083	65	77	score	score	NOUN
cana-2083	65	78	of	of	ADP
cana-2083	65	79	ghq	ghq	NOUN
cana-2083	65	80	and	and	CCONJ
cana-2083	65	81	vice	vice	ADV
cana-2083	65	82	versa	versa	ADV
cana-2083	65	83	.	.	PUNCT
cana-2083	66	1	the	the	DET
cana-2083	66	2	results	result	NOUN
cana-2083	66	3	were	be	AUX
cana-2083	66	4	validated	validate	VERB
cana-2083	66	5	through	through	ADP
cana-2083	66	6	simulation	simulation	NOUN
cana-2083	66	7	.	.	PUNCT
cana-2083	67	1	the	the	DET
cana-2083	67	2	model	model	NOUN
cana-2083	67	3	was	be	AUX
cana-2083	67	4	then	then	ADV
cana-2083	67	5	used	use	VERB
cana-2083	67	6	on	on	ADP
cana-2083	67	7	the	the	DET
cana-2083	67	8	data	datum	NOUN
cana-2083	67	9	of	of	ADP
cana-2083	67	10	the	the	DET
cana-2083	67	11	first	first	ADJ
cana-2083	67	12	two	two	NUM
cana-2083	67	13	surveys	survey	NOUN
cana-2083	67	14	(	(	PUNCT
cana-2083	67	15	dataset_2	dataset_2	NOUN
cana-2083	67	16	,	,	PUNCT
cana-2083	67	17	containing	contain	VERB
cana-2083	67	18	information	information	NOUN
cana-2083	67	19	on	on	ADP
cana-2083	67	20	difficulty	difficulty	NOUN
cana-2083	67	21	score	score	VERB
cana-2083	67	22	only	only	ADV
cana-2083	67	23	)	)	PUNCT
cana-2083	67	24	to	to	PART
cana-2083	67	25	estimate	estimate	VERB
cana-2083	67	26	the	the	DET
cana-2083	67	27	ghq-12	ghq-12	NOUN
cana-2083	67	28	scores	score	NOUN
cana-2083	67	29	.	.	PUNCT
cana-2083	68	1	the	the	DET
cana-2083	68	2	model	model	NOUN
cana-2083	68	3	was	be	AUX
cana-2083	68	4	also	also	ADV
cana-2083	68	5	validated	validate	VERB
cana-2083	68	6	by	by	ADP
cana-2083	68	7	applying	apply	VERB
cana-2083	68	8	it	it	PRON
cana-2083	68	9	on	on	ADP
cana-2083	68	10	162	162	NUM
cana-2083	68	11	respondents	respondent	NOUN
cana-2083	68	12	who	who	PRON
cana-2083	68	13	had	have	AUX
cana-2083	68	14	participated	participate	VERB
cana-2083	68	15	in	in	ADP
cana-2083	68	16	all	all	DET
cana-2083	68	17	the	the	DET
cana-2083	68	18	three	three	NUM
cana-2083	68	19	surveys	survey	NOUN
cana-2083	68	20	.	.	PUNCT
cana-2083	69	1	novelty	novelty	NOUN
cana-2083	69	2	of	of	ADP
cana-2083	69	3	the	the	DET
cana-2083	69	4	study	study	NOUN
cana-2083	69	5	is	be	AUX
cana-2083	69	6	establishment	establishment	NOUN
cana-2083	69	7	of	of	ADP
cana-2083	69	8	the	the	DET
cana-2083	69	9	link	link	NOUN
cana-2083	69	10	between	between	ADP
cana-2083	69	11	two	two	NUM
cana-2083	69	12	different	different	ADJ
cana-2083	69	13	questionnaires	questionnaire	NOUN
cana-2083	69	14	,	,	PUNCT
cana-2083	69	15	used	use	VERB
cana-2083	69	16	under	under	ADP
cana-2083	69	17	different	different	ADJ
cana-2083	69	18	circumstances	circumstance	NOUN
cana-2083	69	19	through	through	ADP
cana-2083	69	20	modeling	modeling	NOUN
cana-2083	69	21	.	.	PUNCT
cana-2083	70	1	the	the	DET
cana-2083	70	2	results	result	NOUN
cana-2083	70	3	can	can	AUX
cana-2083	70	4	be	be	AUX
cana-2083	70	5	used	use	VERB
cana-2083	70	6	to	to	PART
cana-2083	70	7	complete	complete	VERB
cana-2083	70	8	any	any	DET
cana-2083	70	9	missing	missing	ADJ
cana-2083	70	10	piece	piece	NOUN
cana-2083	70	11	of	of	ADP
cana-2083	70	12	information	information	NOUN
cana-2083	70	13	.	.	PUNCT
cana-2083	71	1	to	to	ADP
cana-2083	71	2	the	the	DET
cana-2083	71	3	best	good	ADJ
cana-2083	71	4	of	of	ADP
cana-2083	71	5	our	our	PRON
cana-2083	71	6	knowledge	knowledge	NOUN
cana-2083	71	7	,	,	PUNCT
cana-2083	71	8	this	this	PRON
cana-2083	71	9	is	be	AUX
cana-2083	71	10	the	the	DET
cana-2083	71	11	first	first	ADJ
cana-2083	71	12	study	study	NOUN
cana-2083	71	13	to	to	PART
cana-2083	71	14	make	make	VERB
cana-2083	71	15	use	use	NOUN
cana-2083	71	16	of	of	ADP
cana-2083	71	17	real	real	ADJ
cana-2083	71	18	life	life	NOUN
cana-2083	71	19	data	datum	NOUN
cana-2083	71	20	to	to	PART
cana-2083	71	21	link	link	VERB
cana-2083	71	22	two	two	NUM
cana-2083	71	23	different	different	ADJ
cana-2083	71	24	questionnaires	questionnaire	NOUN
cana-2083	71	25	.	.	PUNCT
cana-2083	72	1	the	the	DET
cana-2083	72	2	rest	rest	NOUN
cana-2083	72	3	of	of	ADP
cana-2083	72	4	this	this	DET
cana-2083	72	5	paper	paper	NOUN
cana-2083	72	6	along	along	ADP
cana-2083	72	7	with	with	ADP
cana-2083	72	8	the	the	DET
cana-2083	72	9	introduction	introduction	NOUN
cana-2083	72	10	is	be	AUX
cana-2083	72	11	as	as	SCONJ
cana-2083	72	12	follows	follow	VERB
cana-2083	72	13	.	.	PUNCT
cana-2083	73	1	in	in	ADP
cana-2083	73	2	section	section	NOUN
cana-2083	73	3	2	2	NUM
cana-2083	73	4	,	,	PUNCT
cana-2083	73	5	the	the	DET
cana-2083	73	6	materials	material	NOUN
cana-2083	73	7	and	and	CCONJ
cana-2083	73	8	developed	develop	VERB
cana-2083	73	9	model	model	NOUN
cana-2083	73	10	are	be	AUX
cana-2083	73	11	discussed	discuss	VERB
cana-2083	73	12	.	.	PUNCT
cana-2083	74	1	in	in	ADP
cana-2083	74	2	section	section	NOUN
cana-2083	74	3	3	3	NUM
cana-2083	74	4	,	,	PUNCT
cana-2083	74	5	the	the	DET
cana-2083	74	6	results	result	NOUN
cana-2083	74	7	are	be	AUX
cana-2083	74	8	described	describe	VERB
cana-2083	74	9	.	.	PUNCT
cana-2083	75	1	the	the	DET
cana-2083	75	2	paper	paper	NOUN
cana-2083	75	3	concludes	conclude	VERB
cana-2083	75	4	with	with	ADP
cana-2083	75	5	discussion	discussion	NOUN
cana-2083	75	6	in	in	ADP
cana-2083	75	7	section	section	NOUN
cana-2083	75	8	4	4	NUM
cana-2083	75	9	,	,	PUNCT
cana-2083	75	10	discussion	discussion	NOUN
cana-2083	75	11	and	and	CCONJ
cana-2083	75	12	conclusion	conclusion	NOUN
cana-2083	75	13	in	in	ADP
cana-2083	75	14	section	section	NOUN
cana-2083	75	15	5	5	NUM
cana-2083	75	16	.	.	SYM
cana-2083	75	17	2	2	NUM
cana-2083	75	18	materials	material	NOUN
cana-2083	75	19	and	and	CCONJ
cana-2083	75	20	methods	method	NOUN
cana-2083	75	21	2.1	2.1	NUM
cana-2083	75	22	materials	material	NOUN
cana-2083	75	23	during	during	ADP
cana-2083	75	24	covid-19	covid-19	PROPN
cana-2083	75	25	pandemic	pandemic	ADJ
cana-2083	75	26	times	time	NOUN
cana-2083	75	27	,	,	PUNCT
cana-2083	75	28	in	in	ADP
cana-2083	75	29	a	a	DET
cana-2083	75	30	period	period	NOUN
cana-2083	75	31	of	of	ADP
cana-2083	75	32	almost	almost	ADV
cana-2083	75	33	two	two	NUM
cana-2083	75	34	years	year	NOUN
cana-2083	75	35	(	(	PUNCT
cana-2083	75	36	from	from	ADP
cana-2083	75	37	may	may	PROPN
cana-2083	75	38	-	-	PUNCT
cana-2083	75	39	june	june	PROPN
cana-2083	75	40	2020	2020	NUM
cana-2083	75	41	to	to	ADP
cana-2083	75	42	januaryfebruary	januaryfebruary	NOUN
cana-2083	75	43	2022	2022	NUM
cana-2083	75	44	)	)	PUNCT
cana-2083	75	45	,	,	PUNCT
cana-2083	75	46	three	three	NUM
cana-2083	75	47	independent	independent	ADJ
cana-2083	75	48	surveys	survey	NOUN
cana-2083	75	49	were	be	AUX
cana-2083	75	50	conducted	conduct	VERB
cana-2083	75	51	on	on	ADP
cana-2083	75	52	the	the	DET
cana-2083	75	53	young	young	ADJ
cana-2083	75	54	adults	adult	NOUN
cana-2083	75	55	studying	study	VERB
cana-2083	75	56	in	in	ADP
cana-2083	75	57	higher	high	ADJ
cana-2083	75	58	educational	educational	ADJ
cana-2083	75	59	institutions	institution	NOUN
cana-2083	75	60	across	across	ADP
cana-2083	75	61	india	india	PROPN
cana-2083	75	62	,	,	PUNCT
cana-2083	75	63	using	use	VERB
cana-2083	75	64	sdq	sdq	NOUN
cana-2083	75	65	17	17	NUM
cana-2083	75	66	+	+	CCONJ
cana-2083	75	67	extended	extended	ADJ
cana-2083	75	68	version	version	NOUN
cana-2083	75	69	.	.	PUNCT
cana-2083	76	1	the	the	DET
cana-2083	76	2	number	number	NOUN
cana-2083	76	3	of	of	ADP
cana-2083	76	4	responses	response	NOUN
cana-2083	76	5	obtained	obtain	VERB
cana-2083	76	6	were	be	AUX
cana-2083	76	7	respectively	respectively	ADV
cana-2083	76	8	1020	1020	NUM
cana-2083	76	9	,	,	PUNCT
cana-2083	76	10	743	743	NUM
cana-2083	76	11	and	and	CCONJ
cana-2083	76	12	934	934	NUM
cana-2083	76	13	respectively	respectively	ADV
cana-2083	76	14	.	.	PUNCT
cana-2083	77	1	although	although	SCONJ
cana-2083	77	2	the	the	DET
cana-2083	77	3	surveys	survey	NOUN
cana-2083	77	4	were	be	AUX
cana-2083	77	5	held	hold	VERB
cana-2083	77	6	independent	independent	ADJ
cana-2083	77	7	of	of	ADP
cana-2083	77	8	each	each	DET
cana-2083	77	9	other	other	ADJ
cana-2083	77	10	,	,	PUNCT
cana-2083	77	11	162	162	NUM
cana-2083	77	12	respondents	respondent	NOUN
cana-2083	77	13	were	be	AUX
cana-2083	77	14	found	find	VERB
cana-2083	77	15	to	to	PART
cana-2083	77	16	have	have	AUX
cana-2083	77	17	participated	participate	VERB
cana-2083	77	18	in	in	ADP
cana-2083	77	19	all	all	DET
cana-2083	77	20	the	the	DET
cana-2083	77	21	three	three	NUM
cana-2083	77	22	surveys	survey	NOUN
cana-2083	77	23	.	.	PUNCT
cana-2083	78	1	in	in	ADP
cana-2083	78	2	survey	survey	NOUN
cana-2083	78	3	3	3	NUM
cana-2083	78	4	,	,	PUNCT
cana-2083	78	5	ghq-12	ghq-12	NOUN
cana-2083	78	6	questionnaire	questionnaire	NOUN
cana-2083	78	7	was	be	AUX
cana-2083	78	8	also	also	ADV
cana-2083	78	9	used	use	VERB
cana-2083	78	10	along	along	ADP
cana-2083	78	11	with	with	ADP
cana-2083	78	12	sdq	sdq	NOUN
cana-2083	78	13	17	17	NUM
cana-2083	78	14	+	+	CCONJ
cana-2083	78	15	extended	extended	ADJ
cana-2083	78	16	version	version	NOUN
cana-2083	78	17	.	.	PUNCT
cana-2083	79	1	the	the	DET
cana-2083	79	2	scoring	scoring	NOUN
cana-2083	79	3	methods	method	NOUN
cana-2083	79	4	of	of	ADP
cana-2083	79	5	sdq	sdq	NOUN
cana-2083	79	6	17	17	NUM
cana-2083	79	7	+	+	CCONJ
cana-2083	79	8	extended	extended	ADJ
cana-2083	79	9	version	version	NOUN
cana-2083	79	10	have	have	AUX
cana-2083	79	11	been	be	AUX
cana-2083	79	12	discussed	discuss	VERB
cana-2083	79	13	in	in	ADP
cana-2083	79	14	the	the	DET
cana-2083	79	15	earlier	early	ADJ
cana-2083	79	16	literature	literature	NOUN
cana-2083	79	17	(	(	PUNCT
cana-2083	79	18	goodman	goodman	PROPN
cana-2083	79	19	,	,	PUNCT
cana-2083	79	20	1999	1999	NUM
cana-2083	79	21	;	;	PUNCT
cana-2083	79	22	goyal	goyal	PROPN
cana-2083	79	23	et	et	PROPN
cana-2083	79	24	al	al	PROPN
cana-2083	79	25	.	.	PROPN
cana-2083	79	26	,	,	PUNCT
cana-2083	79	27	2023	2023	NUM
cana-2083	79	28	;	;	PUNCT
cana-2083	79	29	sabharwal	sabharwal	NOUN
cana-2083	79	30	et	et	PROPN
cana-2083	79	31	al	al	PROPN
cana-2083	79	32	.	.	PROPN
cana-2083	79	33	,	,	PUNCT
cana-2083	79	34	2023	2023	NUM
cana-2083	79	35	)	)	PUNCT
cana-2083	79	36	.	.	PUNCT
cana-2083	80	1	the	the	DET
cana-2083	80	2	ghq-12	ghq-12	NOUN
cana-2083	80	3	questionnaire	questionnaire	NOUN
cana-2083	80	4	contains	contain	VERB
cana-2083	80	5	12	12	NUM
cana-2083	80	6	items	item	NOUN
cana-2083	80	7	which	which	PRON
cana-2083	80	8	are	be	AUX
cana-2083	80	9	evaluated	evaluate	VERB
cana-2083	80	10	using	use	VERB
cana-2083	80	11	the	the	DET
cana-2083	80	12	likert	likert	NOUN
cana-2083	80	13	(	(	PUNCT
cana-2083	80	14	0	0	NUM
cana-2083	80	15	-	-	SYM
cana-2083	80	16	1	1	NUM
cana-2083	80	17	-	-	PUNCT
cana-2083	80	18	2	2	NUM
cana-2083	80	19	-	-	SYM
cana-2083	80	20	3/	3/	NUM
cana-2083	80	21	0	0	NUM
cana-2083	80	22	-	-	SYM
cana-2083	80	23	0	0	NUM
cana-2083	80	24	-	-	PUNCT
cana-2083	80	25	1	1	NUM
cana-2083	80	26	-	-	PUNCT
cana-2083	80	27	1	1	NUM
cana-2083	80	28	)	)	PUNCT
cana-2083	80	29	scale	scale	NOUN
cana-2083	80	30	.	.	PUNCT
cana-2083	81	1	the	the	DET
cana-2083	81	2	scores	score	NOUN
cana-2083	81	3	are	be	AUX
cana-2083	81	4	then	then	ADV
cana-2083	81	5	added	add	VERB
cana-2083	81	6	to	to	PART
cana-2083	81	7	obtain	obtain	VERB
cana-2083	81	8	the	the	DET
cana-2083	81	9	total	total	ADJ
cana-2083	81	10	ghq	ghq	NOUN
cana-2083	81	11	scores	score	NOUN
cana-2083	81	12	.	.	PUNCT
cana-2083	82	1	the	the	DET
cana-2083	82	2	scores	score	NOUN
cana-2083	82	3	lie	lie	VERB
cana-2083	82	4	in	in	ADP
cana-2083	82	5	the	the	DET
cana-2083	82	6	range	range	NOUN
cana-2083	82	7	0	0	NUM
cana-2083	82	8	-	-	PUNCT
cana-2083	82	9	36/0	36/0	NUM
cana-2083	82	10	-	-	PUNCT
cana-2083	82	11	12	12	NUM
cana-2083	82	12	.	.	PUNCT
cana-2083	83	1	higher	high	ADJ
cana-2083	83	2	scores	score	NOUN
cana-2083	83	3	indicate	indicate	VERB
cana-2083	83	4	a	a	DET
cana-2083	83	5	higher	high	ADJ
cana-2083	83	6	level	level	NOUN
cana-2083	83	7	of	of	ADP
cana-2083	83	8	psychological	psychological	ADJ
cana-2083	83	9	distress	distress	NOUN
cana-2083	83	10	or	or	CCONJ
cana-2083	83	11	impaired	impair	VERB
cana-2083	83	12	mental	mental	ADJ
cana-2083	83	13	well	well	ADV
cana-2083	83	14	-	-	PUNCT
cana-2083	83	15	being	being	NOUN
cana-2083	83	16	,	,	PUNCT
cana-2083	83	17	although	although	SCONJ
cana-2083	83	18	there	there	PRON
cana-2083	83	19	are	be	VERB
cana-2083	83	20	no	no	DET
cana-2083	83	21	clear	clear	ADV
cana-2083	83	22	-	-	PUNCT
cana-2083	83	23	cut	cut	VERB
cana-2083	83	24	categories	category	NOUN
cana-2083	83	25	describing	describe	VERB
cana-2083	83	26	the	the	DET
cana-2083	83	27	severity	severity	NOUN
cana-2083	83	28	of	of	ADP
cana-2083	83	29	problems	problem	NOUN
cana-2083	83	30	as	as	SCONJ
cana-2083	83	31	is	be	AUX
cana-2083	83	32	in	in	ADP
cana-2083	83	33	case	case	NOUN
cana-2083	83	34	of	of	ADP
cana-2083	83	35	sdq	sdq	NOUN
cana-2083	83	36	scores	score	NOUN
cana-2083	83	37	(	(	PUNCT
cana-2083	83	38	goldberg	goldberg	PROPN
cana-2083	83	39	,	,	PUNCT
cana-2083	83	40	1979	1979	NUM
cana-2083	83	41	;	;	PUNCT
cana-2083	83	42	goldberg	goldberg	PROPN
cana-2083	83	43	et	et	PROPN
cana-2083	83	44	al	al	PROPN
cana-2083	83	45	.	.	PROPN
cana-2083	83	46	,	,	PUNCT
cana-2083	83	47	1997	1997	NUM
cana-2083	83	48	;	;	PUNCT
cana-2083	84	1	anjara	anjara	PROPN
cana-2083	84	2	s.	s.	PROPN
cana-2083	84	3	et	et	PROPN
cana-2083	84	4	al	al	PROPN
cana-2083	84	5	.	.	PROPN
cana-2083	84	6	,	,	PUNCT
cana-2083	84	7	2020	2020	NUM
cana-2083	84	8	)	)	PUNCT
cana-2083	84	9	.	.	PUNCT
cana-2083	85	1	the	the	DET
cana-2083	85	2	inclusion	inclusion	NOUN
cana-2083	85	3	criteria	criterion	NOUN
cana-2083	85	4	for	for	ADP
cana-2083	85	5	the	the	DET
cana-2083	85	6	study	study	NOUN
cana-2083	85	7	were	be	AUX
cana-2083	85	8	the	the	DET
cana-2083	85	9	respondents	respondent	NOUN
cana-2083	85	10	enrolled	enrol	VERB
cana-2083	85	11	in	in	ADP
cana-2083	85	12	higher	high	ADJ
cana-2083	85	13	educational	educational	ADJ
cana-2083	85	14	institutions	institution	NOUN
cana-2083	85	15	and	and	CCONJ
cana-2083	85	16	were	be	AUX
cana-2083	85	17	participating	participate	VERB
cana-2083	85	18	willingly	willingly	ADV
cana-2083	85	19	.	.	PUNCT
cana-2083	86	1	communications	communication	NOUN
cana-2083	86	2	on	on	ADP
cana-2083	86	3	applied	apply	VERB
cana-2083	86	4	nonlinear	nonlinear	ADJ
cana-2083	86	5	analysis	analysis	NOUN
cana-2083	86	6	issn	issn	NOUN
cana-2083	86	7	:	:	PUNCT
cana-2083	86	8	1074	1074	NUM
cana-2083	86	9	-	-	PUNCT
cana-2083	86	10	133x	133x	NUM
cana-2083	86	11	vol	vol	NOUN
cana-2083	86	12	32	32	NUM
cana-2083	86	13	no	no	NOUN
cana-2083	86	14	.	.	PUNCT
cana-2083	87	1	1s	1s	NUM
cana-2083	87	2	(	(	PUNCT
cana-2083	87	3	2025	2025	NUM
cana-2083	87	4	)	)	PUNCT
cana-2083	87	5	4	4	NUM
cana-2083	87	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-2083	87	7	2.2	2.2	NUM
cana-2083	87	8	methods	method	NOUN
cana-2083	87	9	2.2.1	2.2.1	NUM
cana-2083	87	10	bivariate	bivariate	ADJ
cana-2083	87	11	normal	normal	ADJ
cana-2083	87	12	distribution	distribution	NOUN
cana-2083	87	13	(	(	PUNCT
cana-2083	87	14	bvn	bvn	NOUN
cana-2083	87	15	)	)	PUNCT
cana-2083	87	16	if	if	SCONJ
cana-2083	87	17	two	two	NUM
cana-2083	87	18	random	random	ADJ
cana-2083	87	19	variables	variable	NOUN
cana-2083	87	20	x	x	PUNCT
cana-2083	87	21	and	and	CCONJ
cana-2083	87	22	y	y	PROPN
cana-2083	87	23	are	be	AUX
cana-2083	87	24	following	follow	VERB
cana-2083	87	25	normal	normal	ADJ
cana-2083	87	26	distributions	distribution	NOUN
cana-2083	87	27	2~	2~	PROPN
cana-2083	87	28	(	(	PUNCT
cana-2083	87	29	,	,	PUNCT
cana-2083	87	30	)	)	PUNCT
cana-2083	87	31	x	x	SYM
cana-2083	88	1	xx	xx	NUM
cana-2083	88	2	n	n	PRON
cana-2083	88	3			NOUN
cana-2083	88	4			X
cana-2083	88	5	and	and	CCONJ
cana-2083	88	6	2~	2~	PROPN
cana-2083	88	7	(	(	PUNCT
cana-2083	88	8	,	,	PUNCT
cana-2083	88	9	)	)	PUNCT
cana-2083	88	10	y	y	PROPN
cana-2083	88	11	yy	yy	PROPN
cana-2083	88	12	n	n	PRON
cana-2083	88	13			NOUN
cana-2083	88	14			X
cana-2083	88	15	respectively	respectively	ADV
cana-2083	88	16	,	,	PUNCT
cana-2083	88	17	with	with	ADP
cana-2083	88	18	correlation	correlation	NOUN
cana-2083	88	19	coefficient	coefficient	NOUN
cana-2083	88	20			NOUN
cana-2083	88	21	,	,	PUNCT
cana-2083	88	22	the	the	DET
cana-2083	88	23	joint	joint	ADJ
cana-2083	88	24	probability	probability	NOUN
cana-2083	88	25	density	density	NOUN
cana-2083	88	26	function	function	NOUN
cana-2083	88	27	(	(	PUNCT
cana-2083	88	28	pdf	pdf	NOUN
cana-2083	88	29	)	)	PUNCT
cana-2083	88	30	of	of	ADP
cana-2083	88	31	x	x	PUNCT
cana-2083	88	32	and	and	CCONJ
cana-2083	88	33	y	y	PROPN
cana-2083	88	34	is	be	AUX
cana-2083	88	35	given	give	VERB
cana-2083	88	36	by	by	ADP
cana-2083	88	37	(	(	PUNCT
cana-2083	88	38	johnson	johnson	PROPN
cana-2083	88	39	and	and	CCONJ
cana-2083	88	40	kotz	kotz	PROPN
cana-2083	88	41	,	,	PUNCT
cana-2083	88	42	1972	1972	NUM
cana-2083	88	43	)	)	PUNCT
cana-2083	88	44	,	,	PUNCT
cana-2083	88	45	22	22	NUM
cana-2083	88	46	2	2	NUM
cana-2083	88	47	2	2	NUM
cana-2083	88	48	1	1	NUM
cana-2083	88	49	exp	exp	NOUN
cana-2083	88	50	2	2	NUM
cana-2083	88	51	2(1	2(1	NUM
cana-2083	88	52	)	)	PUNCT
cana-2083	88	53	(	(	PUNCT
cana-2083	88	54	,	,	PUNCT
cana-2083	88	55	)	)	PUNCT
cana-2083	88	56	2	2	NUM
cana-2083	88	57	1	1	NUM
cana-2083	88	58	y	y	NOUN
cana-2083	88	59	yx	yx	NOUN
cana-2083	88	60	x	x	PUNCT
cana-2083	88	61	x	x	PUNCT
cana-2083	89	1	y	y	NOUN
cana-2083	89	2	x	x	X
cana-2083	89	3	y	y	NOUN
cana-2083	89	4	x	x	X
cana-2083	89	5	y	y	NOUN
cana-2083	89	6	y	y	PROPN
cana-2083	89	7	yx	yx	X
cana-2083	89	8	x	x	PUNCT
cana-2083	89	9	f	f	X
cana-2083	89	10	x	x	PUNCT
cana-2083	89	11	y	y	PROPN
cana-2083	89	12			NOUN
cana-2083	89	13			ADP
cana-2083	89	14			NOUN
cana-2083	89	15			NOUN
cana-2083	89	16			ADP
cana-2083	89	17			PROPN
cana-2083	89	18			X
cana-2083	89	19			X
cana-2083	89	20			X
cana-2083	89	21			NOUN
cana-2083	89	22			PROPN
cana-2083	89	23			ADP
cana-2083	90	1			PROPN
cana-2083	90	2			INTJ
cana-2083	90	3			NOUN
cana-2083	90	4			PROPN
cana-2083	90	5			NOUN
cana-2083	90	6	−	−	NOUN
cana-2083	90	7	−	−	NOUN
cana-2083	90	8			PROPN
cana-2083	90	9			NOUN
cana-2083	90	10	−	−	PROPN
cana-2083	90	11	−−	−−	NOUN
cana-2083	90	12			NUM
cana-2083	90	13			PROPN
cana-2083	90	14	+	+	PROPN
cana-2083	90	15	−	−	PROPN
cana-2083	90	16			PROPN
cana-2083	91	1			PROPN
cana-2083	91	2			PROPN
cana-2083	91	3			PUNCT
cana-2083	92	1			PROPN
cana-2083	92	2			PROPN
cana-2083	92	3			NOUN
cana-2083	93	1			PROPN
cana-2083	94	1			PROPN
cana-2083	94	2			PROPN
cana-2083	94	3	−	−	PUNCT
cana-2083	95	1			ADJ
cana-2083	95	2			PROPN
cana-2083	95	3			ADJ
cana-2083	95	4			VERB
cana-2083	95	5			NOUN
cana-2083	95	6			NOUN
cana-2083	95	7			PROPN
cana-2083	95	8			PROPN
cana-2083	95	9			NOUN
cana-2083	95	10	=	=	PROPN
cana-2083	95	11	−	−	PROPN
cana-2083	95	12	(	(	PUNCT
cana-2083	95	13	1	1	NUM
cana-2083	95	14	)	)	PUNCT
cana-2083	95	15	(	(	PUNCT
cana-2083	95	16	,	,	PUNCT
cana-2083	95	17	)	)	PUNCT
cana-2083	95	18	x	x	SYM
cana-2083	95	19	y−	y−	NUM
cana-2083	95	20			PROPN
cana-2083	95	21			PROPN
cana-2083	95	22			VERB
cana-2083	95	23	,	,	PUNCT
cana-2083	95	24	1	1	NUM
cana-2083	95	25	1−	1−	NUM
cana-2083	95	26			PROPN
cana-2083	95	27			PROPN
cana-2083	95	28	,	,	PUNCT
cana-2083	95	29	(	(	PUNCT
cana-2083	95	30	,	,	PUNCT
cana-2083	95	31	)	)	PUNCT
cana-2083	95	32	0x	0x	NOUN
cana-2083	95	33	y	y	NOUN
cana-2083	95	34			PROPN
cana-2083	95	35			VERB
cana-2083	95	36	the	the	DET
cana-2083	95	37	conditional	conditional	ADJ
cana-2083	95	38	expectation	expectation	NOUN
cana-2083	95	39	for	for	ADP
cana-2083	95	40	bvn	bvn	NOUN
cana-2083	95	41	distribution	distribution	NOUN
cana-2083	95	42	is	be	AUX
cana-2083	95	43	e	e	NOUN
cana-2083	95	44	(	(	PUNCT
cana-2083	95	45	|	|	ADV
cana-2083	95	46	)	)	PUNCT
cana-2083	95	47	(	(	PUNCT
cana-2083	95	48	)	)	PUNCT
cana-2083	95	49	xy	xy	PUNCT
cana-2083	96	1	x	x	PUNCT
cana-2083	96	2	y	y	NOUN
cana-2083	96	3	x	x	PUNCT
cana-2083	96	4	x	x	VERB
cana-2083	96	5	y	y	PROPN
cana-2083	96	6	y	y	PROPN
cana-2083	96	7			PROPN
cana-2083	96	8			NOUN
cana-2083	96	9			NOUN
cana-2083	96	10			NUM
cana-2083	96	11	=	=	SYM
cana-2083	97	1	−	−	NOUN
cana-2083	97	2	−	−	PROPN
cana-2083	97	3	(	(	PUNCT
cana-2083	97	4	2	2	NUM
cana-2083	97	5	)	)	PUNCT
cana-2083	97	6	where	where	SCONJ
cana-2083	97	7	,	,	PUNCT
cana-2083	97	8	xy	xy	PROPN
cana-2083	97	9	is	be	AUX
cana-2083	97	10	covariance	covariance	NOUN
cana-2083	97	11	between	between	ADP
cana-2083	97	12	x	x	SYM
cana-2083	97	13	;	;	PUNCT
cana-2083	97	14	xy−	xy−	NUM
cana-2083	97	15			PROPN
cana-2083	97	16			PROPN
cana-2083	97	17			VERB
cana-2083	97	18	.	.	PUNCT
cana-2083	98	1	2.2.2	2.2.2	NUM
cana-2083	98	2	distribution	distribution	NOUN
cana-2083	98	3	of	of	ADP
cana-2083	98	4	variables	variable	NOUN
cana-2083	98	5	the	the	DET
cana-2083	98	6	following	follow	VERB
cana-2083	98	7	distributions	distribution	NOUN
cana-2083	98	8	namely	namely	ADV
cana-2083	98	9	,	,	PUNCT
cana-2083	98	10	normal	normal	ADJ
cana-2083	98	11	,	,	PUNCT
cana-2083	98	12	gamma	gamma	NOUN
cana-2083	98	13	,	,	PUNCT
cana-2083	98	14	weibull	weibull	PROPN
cana-2083	98	15	,	,	PUNCT
cana-2083	98	16	log	log	NOUN
cana-2083	98	17	-	-	PUNCT
cana-2083	98	18	normal	normal	ADJ
cana-2083	98	19	,	,	PUNCT
cana-2083	98	20	and	and	CCONJ
cana-2083	98	21	exponential	exponential	NOUN
cana-2083	98	22	,	,	PUNCT
cana-2083	98	23	were	be	AUX
cana-2083	98	24	fitted	fit	VERB
cana-2083	98	25	to	to	ADP
cana-2083	98	26	the	the	DET
cana-2083	98	27	data	datum	NOUN
cana-2083	98	28	and	and	CCONJ
cana-2083	98	29	the	the	DET
cana-2083	98	30	best	good	ADJ
cana-2083	98	31	fitted	fit	VERB
cana-2083	98	32	distribution	distribution	NOUN
cana-2083	98	33	was	be	AUX
cana-2083	98	34	selected	select	VERB
cana-2083	98	35	on	on	ADP
cana-2083	98	36	the	the	DET
cana-2083	98	37	basis	basis	NOUN
cana-2083	98	38	of	of	ADP
cana-2083	98	39	minimum	minimum	NOUN
cana-2083	98	40	aic	aic	PROPN
cana-2083	98	41	and	and	CCONJ
cana-2083	98	42	bic	bic	PROPN
cana-2083	98	43	values	value	NOUN
cana-2083	98	44	.	.	PUNCT
cana-2083	99	1	table	table	NOUN
cana-2083	99	2	1	1	NUM
cana-2083	99	3	presents	present	VERB
cana-2083	99	4	the	the	DET
cana-2083	99	5	pdf	pdf	NOUN
cana-2083	99	6	of	of	ADP
cana-2083	99	7	all	all	DET
cana-2083	99	8	the	the	DET
cana-2083	99	9	fitted	fit	VERB
cana-2083	99	10	distributions	distribution	NOUN
cana-2083	99	11	in	in	ADP
cana-2083	99	12	this	this	DET
cana-2083	99	13	study	study	NOUN
cana-2083	99	14	.	.	PUNCT
cana-2083	100	1	table	table	NOUN
cana-2083	100	2	1	1	NUM
cana-2083	100	3	the	the	DET
cana-2083	100	4	fitted	fit	VERB
cana-2083	100	5	distributions	distribution	NOUN
cana-2083	100	6	for	for	ADP
cana-2083	100	7	present	present	ADJ
cana-2083	100	8	study	study	NOUN
cana-2083	100	9	name	name	NOUN
cana-2083	100	10	of	of	ADP
cana-2083	100	11	distributions	distribution	NOUN
cana-2083	100	12	probability	probability	NOUN
cana-2083	100	13	density	density	NOUN
cana-2083	100	14	function	function	NOUN
cana-2083	100	15	(	(	PUNCT
cana-2083	100	16	pdf	pdf	NOUN
cana-2083	100	17	)	)	PUNCT
cana-2083	100	18	name	name	NOUN
cana-2083	100	19	of	of	ADP
cana-2083	100	20	parameters	parameter	NOUN
cana-2083	100	21	ranges	range	VERB
cana-2083	100	22	normal	normal	ADJ
cana-2083	100	23	2	2	NUM
cana-2083	100	24	1	1	NUM
cana-2083	100	25	1	1	NUM
cana-2083	100	26	(	(	PUNCT
cana-2083	100	27	,	,	PUNCT
cana-2083	100	28	,	,	PUNCT
cana-2083	100	29	)	)	PUNCT
cana-2083	100	30	exp	exp	NOUN
cana-2083	100	31	22	22	NUM
cana-2083	100	32	x	x	SYM
cana-2083	100	33	f	f	NOUN
cana-2083	100	34	x	x	NOUN
cana-2083	100	35			NOUN
cana-2083	100	36			NOUN
cana-2083	100	37			PUNCT
cana-2083	100	38			PROPN
cana-2083	101	1			NOUN
cana-2083	101	2	−	−	PROPN
cana-2083	101	3			PROPN
cana-2083	101	4	=	=	PROPN
cana-2083	101	5	−	−	PROPN
cana-2083	101	6			NOUN
cana-2083	102	1			X
cana-2083	103	1			VERB
cana-2083	103	2			NOUN
cana-2083	103	3			NOUN
cana-2083	103	4			NOUN
cana-2083	103	5	=	=	SYM
cana-2083	103	6	mean	mean	NOUN
cana-2083	103	7	and	and	CCONJ
cana-2083	104	1			PROPN
cana-2083	104	2	=	=	SYM
cana-2083	104	3	standard	standard	ADJ
cana-2083	104	4	deviation	deviation	NOUN
cana-2083	104	5	(	(	PUNCT
cana-2083	104	6	,	,	PUNCT
cana-2083	104	7	)	)	PUNCT
cana-2083	104	8	,	,	PUNCT
cana-2083	104	9	0x	0x	NUM
cana-2083	104	10			NOUN
cana-2083	104	11	−	−	PRON
cana-2083	104	12			PROPN
cana-2083	104	13			PROPN
cana-2083	104	14			VERB
cana-2083	104	15			PROPN
cana-2083	104	16	gamma	gamma	NOUN
cana-2083	104	17	(	(	PUNCT
cana-2083	104	18	/	/	SYM
cana-2083	104	19	)	)	PUNCT
cana-2083	104	20	(	(	PUNCT
cana-2083	104	21	1	1	X
cana-2083	104	22	)	)	PUNCT
cana-2083	104	23	(	(	PUNCT
cana-2083	104	24	,	,	PUNCT
cana-2083	104	25	,	,	PUNCT
cana-2083	104	26	)	)	PUNCT
cana-2083	104	27	xe	xe	PROPN
cana-2083	104	28	x	x	SYM
cana-2083	104	29	f	f	PROPN
cana-2083	104	30	x	x	PROPN
cana-2083	104	31			X
cana-2083	104	32			NUM
cana-2083	104	33			NUM
cana-2083	104	34			ADJ
cana-2083	104	35			NUM
cana-2083	104	36			PROPN
cana-2083	104	37			ADJ
cana-2083	104	38	−	−	NOUN
cana-2083	104	39	−	−	NOUN
cana-2083	104	40	=	=	SYM
cana-2083	104	41			VERB
cana-2083	104	42			NUM
cana-2083	104	43	=	=	SYM
cana-2083	104	44	shape	shape	NOUN
cana-2083	104	45	parameter	parameter	NOUN
cana-2083	104	46	and	and	CCONJ
cana-2083	104	47	=	=	NOUN
cana-2083	104	48	scale	scale	NOUN
cana-2083	104	49	parameter	parameter	NOUN
cana-2083	104	50	(	(	PUNCT
cana-2083	104	51	,	,	PUNCT
cana-2083	104	52	,	,	PUNCT
cana-2083	104	53	)	)	PUNCT
cana-2083	104	54	0x	0x	NOUN
cana-2083	104	55			X
cana-2083	104	56			NUM
cana-2083	104	57			PROPN
cana-2083	104	58	weibull	weibull	PROPN
cana-2083	104	59	1	1	NUM
cana-2083	104	60	(	(	PUNCT
cana-2083	104	61	,	,	PUNCT
cana-2083	104	62	,	,	PUNCT
cana-2083	104	63	)	)	PUNCT
cana-2083	104	64	exp	exp	NOUN
cana-2083	104	65	(	(	PUNCT
cana-2083	104	66	(	(	PUNCT
cana-2083	104	67	/	/	SYM
cana-2083	104	68	)	)	PUNCT
cana-2083	104	69	)	)	PUNCT
cana-2083	105	1	k	k	PROPN
cana-2083	106	1	kk	kk	INTJ
cana-2083	106	2	x	x	PUNCT
cana-2083	106	3	f	f	NOUN
cana-2083	106	4	x	x	X
cana-2083	106	5	k	k	PROPN
cana-2083	106	6	x	x	PROPN
cana-2083	106	7			X
cana-2083	106	8			ADJ
cana-2083	106	9			ADJ
cana-2083	106	10	−	−	PROPN
cana-2083	106	11			NOUN
cana-2083	106	12			NOUN
cana-2083	106	13	=	=	PUNCT
cana-2083	107	1	−	−	PROPN
cana-2083	107	2			PROPN
cana-2083	108	1			PROPN
cana-2083	108	2			PROPN
cana-2083	108	3	k	k	NOUN
cana-2083	108	4	=	=	PUNCT
cana-2083	108	5	scale	scale	NOUN
cana-2083	108	6	parameter	parameter	NOUN
cana-2083	108	7	and	and	CCONJ
cana-2083	108	8	=	=	SYM
cana-2083	108	9	shape	shape	NOUN
cana-2083	108	10	parameter	parameter	NOUN
cana-2083	108	11	0x	0x	NOUN
cana-2083	108	12			PROPN
cana-2083	108	13	log	log	PROPN
cana-2083	108	14	-	-	PUNCT
cana-2083	108	15	normal	normal	ADJ
cana-2083	108	16	2	2	NUM
cana-2083	108	17	2	2	NUM
cana-2083	108	18	1	1	NUM
cana-2083	108	19	(	(	PUNCT
cana-2083	108	20	ln	ln	NOUN
cana-2083	108	21	)	)	PUNCT
cana-2083	108	22	(	(	PUNCT
cana-2083	108	23	,	,	PUNCT
cana-2083	108	24	,	,	PUNCT
cana-2083	108	25	)	)	PUNCT
cana-2083	108	26	exp	exp	NOUN
cana-2083	108	27	22	22	NUM
cana-2083	109	1	x	x	SYM
cana-2083	109	2	f	f	NOUN
cana-2083	109	3	x	x	SYM
cana-2083	109	4	x	x	PUNCT
cana-2083	109	5			NOUN
cana-2083	109	6			NOUN
cana-2083	109	7			PUNCT
cana-2083	109	8			PROPN
cana-2083	109	9			NOUN
cana-2083	109	10	−	−	NOUN
cana-2083	110	1	=	=	PROPN
cana-2083	110	2	−	−	PROPN
cana-2083	110	3			PROPN
cana-2083	110	4			PROPN
cana-2083	110	5			NOUN
cana-2083	110	6			NOUN
cana-2083	110	7	=	=	SYM
cana-2083	110	8	mean	mean	NOUN
cana-2083	110	9	log	log	NOUN
cana-2083	110	10	and	and	CCONJ
cana-2083	110	11	0x	0x	NOUN
cana-2083	110	12			PROPN
cana-2083	110	13	communications	communication	NOUN
cana-2083	110	14	on	on	ADP
cana-2083	110	15	applied	apply	VERB
cana-2083	110	16	nonlinear	nonlinear	ADJ
cana-2083	110	17	analysis	analysis	NOUN
cana-2083	110	18	issn	issn	NOUN
cana-2083	110	19	:	:	PUNCT
cana-2083	110	20	1074	1074	NUM
cana-2083	110	21	-	-	PUNCT
cana-2083	110	22	133x	133x	NUM
cana-2083	110	23	vol	vol	NOUN
cana-2083	110	24	32	32	NUM
cana-2083	110	25	no	no	NOUN
cana-2083	110	26	.	.	PUNCT
cana-2083	111	1	1s	1s	NUM
cana-2083	111	2	(	(	PUNCT
cana-2083	111	3	2025	2025	NUM
cana-2083	111	4	)	)	PUNCT
cana-2083	111	5	5	5	NUM
cana-2083	111	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2083	111	7			X
cana-2083	111	8	=	=	SYM
cana-2083	111	9	standard	standard	ADJ
cana-2083	111	10	deviation	deviation	NOUN
cana-2083	111	11	log	log	NOUN
cana-2083	111	12	exponential	exponential	NOUN
cana-2083	111	13	(	(	PUNCT
cana-2083	111	14	,	,	PUNCT
cana-2083	111	15	)	)	PUNCT
cana-2083	111	16	xf	xf	PROPN
cana-2083	111	17	x	x	PUNCT
cana-2083	111	18	e	e	X
cana-2083	111	19	=	=	PRON
cana-2083	111	20			X
cana-2083	111	21	=	=	SYM
cana-2083	111	22	rate	rate	NOUN
cana-2083	111	23	parameter	parameter	NOUN
cana-2083	111	24	.	.	PUNCT
cana-2083	112	1	0x	0x	NOUN
cana-2083	112	2	2.2.3	2.2.3	NUM
cana-2083	112	3	transformations	transformation	NOUN
cana-2083	112	4	transformations	transformation	NOUN
cana-2083	112	5	are	be	AUX
cana-2083	112	6	a	a	DET
cana-2083	112	7	group	group	NOUN
cana-2083	112	8	of	of	ADP
cana-2083	112	9	statistical	statistical	ADJ
cana-2083	112	10	techniques	technique	NOUN
cana-2083	112	11	,	,	PUNCT
cana-2083	112	12	used	use	VERB
cana-2083	112	13	to	to	PART
cana-2083	112	14	convert	convert	VERB
cana-2083	112	15	the	the	DET
cana-2083	112	16	data	datum	NOUN
cana-2083	112	17	to	to	ADP
cana-2083	112	18	a	a	DET
cana-2083	112	19	form	form	NOUN
cana-2083	112	20	which	which	PRON
cana-2083	112	21	can	can	AUX
cana-2083	112	22	be	be	AUX
cana-2083	112	23	dealt	deal	VERB
cana-2083	112	24	with	with	ADP
cana-2083	112	25	available	available	ADJ
cana-2083	112	26	standard	standard	ADJ
cana-2083	112	27	methods	method	NOUN
cana-2083	112	28	.	.	PUNCT
cana-2083	113	1	the	the	DET
cana-2083	113	2	most	most	ADV
cana-2083	113	3	commonly	commonly	ADV
cana-2083	113	4	used	use	VERB
cana-2083	113	5	transformations	transformation	NOUN
cana-2083	113	6	are	be	AUX
cana-2083	113	7	the	the	DET
cana-2083	113	8	square	square	ADJ
cana-2083	113	9	root	root	NOUN
cana-2083	113	10	,	,	PUNCT
cana-2083	113	11	the	the	DET
cana-2083	113	12	logarithms	logarithm	NOUN
cana-2083	113	13	,	,	PUNCT
cana-2083	113	14	and	and	CCONJ
cana-2083	113	15	the	the	DET
cana-2083	113	16	reciprocal	reciprocal	ADJ
cana-2083	113	17	(	(	PUNCT
cana-2083	113	18	http://wwwusers.york.ac.uk/~mb55/msc/clinbio/week5/transfm_gif.pdf	http://wwwusers.york.ac.uk/~mb55/msc/clinbio/week5/transfm_gif.pdf	PROPN
cana-2083	113	19	)	)	PUNCT
cana-2083	113	20	.	.	PUNCT
cana-2083	114	1	for	for	ADP
cana-2083	114	2	the	the	DET
cana-2083	114	3	bivariate	bivariate	ADJ
cana-2083	114	4	data	datum	NOUN
cana-2083	114	5	used	use	VERB
cana-2083	114	6	in	in	ADP
cana-2083	114	7	this	this	DET
cana-2083	114	8	study	study	NOUN
cana-2083	114	9	,	,	PUNCT
cana-2083	114	10	the	the	DET
cana-2083	114	11	assumed	assume	VERB
cana-2083	114	12	distribution	distribution	NOUN
cana-2083	114	13	is	be	AUX
cana-2083	114	14	a	a	DET
cana-2083	114	15	bivariate	bivariate	ADJ
cana-2083	114	16	normal	normal	ADJ
cana-2083	114	17	distribution	distribution	NOUN
cana-2083	114	18	(	(	PUNCT
cana-2083	114	19	bvn	bvn	NOUN
cana-2083	114	20	)	)	PUNCT
cana-2083	114	21	for	for	ADP
cana-2083	114	22	which	which	PRON
cana-2083	114	23	the	the	DET
cana-2083	114	24	marginal	marginal	ADJ
cana-2083	114	25	distributions	distribution	NOUN
cana-2083	114	26	should	should	AUX
cana-2083	114	27	also	also	ADV
cana-2083	114	28	be	be	AUX
cana-2083	114	29	normal	normal	ADJ
cana-2083	114	30	.	.	PUNCT
cana-2083	115	1	power	power	NOUN
cana-2083	115	2	transformations	transformation	NOUN
cana-2083	115	3	have	have	AUX
cana-2083	115	4	been	be	AUX
cana-2083	115	5	applied	apply	VERB
cana-2083	115	6	to	to	ADP
cana-2083	115	7	the	the	DET
cana-2083	115	8	selected	select	VERB
cana-2083	115	9	distributions	distribution	NOUN
cana-2083	115	10	to	to	PART
cana-2083	115	11	convert	convert	VERB
cana-2083	115	12	them	they	PRON
cana-2083	115	13	to	to	ADP
cana-2083	115	14	a	a	DET
cana-2083	115	15	normal	normal	ADJ
cana-2083	115	16	form	form	NOUN
cana-2083	115	17	.	.	PUNCT
cana-2083	116	1	the	the	DET
cana-2083	116	2	form	form	NOUN
cana-2083	116	3	of	of	ADP
cana-2083	116	4	power	power	NOUN
cana-2083	116	5	transformation	transformation	NOUN
cana-2083	116	6	is	be	AUX
cana-2083	116	7	(	(	PUNCT
cana-2083	116	8	http://www.statsref.com/html/index.html?freeman-tukey.html	http://www.statsref.com/html/index.html?freeman-tukey.html	PROPN
cana-2083	116	9	)	)	PUNCT
cana-2083	116	10	.	.	PUNCT
cana-2083	117	1	(	(	PUNCT
cana-2083	117	2	)	)	PUNCT
cana-2083	117	3	,	,	PUNCT
cana-2083	117	4	0	0	NUM
cana-2083	117	5	,	,	PUNCT
cana-2083	117	6	0	0	NUM
cana-2083	117	7	,	,	PUNCT
cana-2083	117	8	0z	0z	NOUN
cana-2083	117	9	x	x	PUNCT
cana-2083	117	10	a	a	PRON
cana-2083	117	11	a	a	DET
cana-2083	117	12	x	x	PROPN
cana-2083	117	13	=	=	PUNCT
cana-2083	118	1	+	+	CCONJ
cana-2083	119	1			INTJ
cana-2083	119	2			INTJ
cana-2083	119	3			INTJ
cana-2083	119	4	(	(	PUNCT
cana-2083	119	5	3	3	NUM
cana-2083	119	6	)	)	PUNCT
cana-2083	119	7	where	where	SCONJ
cana-2083	119	8	a	a	PRON
cana-2083	119	9	is	be	AUX
cana-2083	119	10	an	an	DET
cana-2083	119	11	optional	optional	ADJ
cana-2083	119	12	constant	constant	ADJ
cana-2083	119	13	.	.	PUNCT
cana-2083	120	1	2.2.4	2.2.4	NUM
cana-2083	120	2	mardia	mardia	NOUN
cana-2083	120	3	test	test	NOUN
cana-2083	120	4	(	(	PUNCT
cana-2083	120	5	mardia	mardia	PROPN
cana-2083	120	6	k.	k.	PROPN
cana-2083	120	7	,	,	PUNCT
cana-2083	120	8	1970	1970	NUM
cana-2083	120	9	;	;	PUNCT
cana-2083	120	10	von	von	PROPN
cana-2083	120	11	eye	eye	PROPN
cana-2083	120	12	and	and	CCONJ
cana-2083	120	13	bogat	bogat	NOUN
cana-2083	120	14	,	,	PUNCT
cana-2083	120	15	2004	2004	NUM
cana-2083	120	16	)	)	PUNCT
cana-2083	120	17	mardia	mardia	NOUN
cana-2083	120	18	test	test	NOUN
cana-2083	120	19	is	be	AUX
cana-2083	120	20	used	use	VERB
cana-2083	120	21	to	to	PART
cana-2083	120	22	examine	examine	VERB
cana-2083	120	23	the	the	DET
cana-2083	120	24	multivariate	multivariate	NOUN
cana-2083	120	25	normality	normality	NOUN
cana-2083	120	26	of	of	ADP
cana-2083	120	27	a	a	DET
cana-2083	120	28	data	data	NOUN
cana-2083	120	29	.	.	PUNCT
cana-2083	121	1	it	it	PRON
cana-2083	121	2	makes	make	VERB
cana-2083	121	3	use	use	NOUN
cana-2083	121	4	of	of	ADP
cana-2083	121	5	skewness	skewness	NOUN
cana-2083	121	6	and	and	CCONJ
cana-2083	121	7	kurtosis	kurtosis	VERB
cana-2083	121	8	measurements	measurement	NOUN
cana-2083	121	9	,	,	PUNCT
cana-2083	121	10	given	give	VERB
cana-2083	121	11	by	by	ADP
cana-2083	121	12	3	3	NUM
cana-2083	121	13	1	1	NUM
cana-2083	121	14	,	,	PUNCT
cana-2083	121	15	2	2	NUM
cana-2083	121	16	1	1	NUM
cana-2083	121	17	1	1	NUM
cana-2083	121	18	1	1	NUM
cana-2083	121	19	ˆ	ˆ	NOUN
cana-2083	121	20	n	n	ADP
cana-2083	121	21	n	n	NOUN
cana-2083	121	22	p	p	NOUN
cana-2083	122	1	ij	ij	INTJ
cana-2083	123	1	i	i	INTJ
cana-2083	123	2	j	j	PROPN
cana-2083	123	3	t	t	PROPN
cana-2083	123	4	n	n	ADV
cana-2083	123	5			NOUN
cana-2083	123	6	=	=	PUNCT
cana-2083	123	7	=	=	PUNCT
cana-2083	123	8	=	=	PUNCT
cana-2083	124	1			NOUN
cana-2083	124	2	and	and	CCONJ
cana-2083	124	3	2	2	NUM
cana-2083	124	4	2	2	NUM
cana-2083	124	5	,	,	PUNCT
cana-2083	124	6	2	2	NUM
cana-2083	124	7	1	1	NUM
cana-2083	124	8	1	1	NUM
cana-2083	124	9	ˆ	ˆ	NOUN
cana-2083	124	10	n	n	PROPN
cana-2083	124	11	p	p	NOUN
cana-2083	124	12	ii	ii	NOUN
cana-2083	125	1	i	i	PRON
cana-2083	125	2	t	t	VERB
cana-2083	125	3	n	n	ADV
cana-2083	125	4			NOUN
cana-2083	125	5	=	=	SYM
cana-2083	125	6	=	=	SYM
cana-2083	125	7			X
cana-2083	125	8	where	where	SCONJ
cana-2083	125	9	,	,	PUNCT
cana-2083	125	10	x1	x1	PROPN
cana-2083	125	11	,	,	PUNCT
cana-2083	125	12	x2	x2	PROPN
cana-2083	125	13	,	,	PUNCT
cana-2083	125	14	…	…	PUNCT
cana-2083	125	15	,	,	PUNCT
cana-2083	125	16	xn	xn	PROPN
cana-2083	125	17	are	be	AUX
cana-2083	125	18	a	a	DET
cana-2083	125	19	vector	vector	NOUN
cana-2083	125	20	of	of	ADP
cana-2083	125	21	size	size	NOUN
cana-2083	125	22	1	1	NUM
cana-2083	125	23	×	×	NOUN
cana-2083	125	24	p	p	X
cana-2083	125	25	,	,	PUNCT
cana-2083	125	26	'	'	PUNCT
cana-2083	125	27	1	1	NUM
cana-2083	125	28	(	(	PUNCT
cana-2083	125	29	)	)	PUNCT
cana-2083	126	1	(	(	PUNCT
cana-2083	126	2	)	)	PUNCT
cana-2083	126	3	ij	ij	INTJ
cana-2083	127	1	i	i	PRON
cana-2083	127	2	jt	jt	PROPN
cana-2083	127	3	x	x	PUNCT
cana-2083	128	1	x	x	X
cana-2083	128	2	s	s	NOUN
cana-2083	128	3	x	x	NOUN
cana-2083	128	4	x−=	x−=	NOUN
cana-2083	128	5	−	−	PROPN
cana-2083	129	1	−	−	NOUN
cana-2083	129	2	'	'	NUM
cana-2083	129	3	1	1	NUM
cana-2083	129	4	1	1	NUM
cana-2083	129	5	(	(	PUNCT
cana-2083	129	6	)	)	PUNCT
cana-2083	129	7	(	(	PUNCT
cana-2083	129	8	)	)	PUNCT
cana-2083	129	9	n	n	CCONJ
cana-2083	130	1	i	i	PRON
cana-2083	130	2	ii	ii	NOUN
cana-2083	130	3	s	s	PART
cana-2083	130	4	x	x	PUNCT
cana-2083	130	5	x	x	PUNCT
cana-2083	130	6	x	x	SYM
cana-2083	130	7	x	x	SYM
cana-2083	130	8	n	n	PROPN
cana-2083	130	9	=	=	SYM
cana-2083	130	10			PROPN
cana-2083	130	11	=	=	NOUN
cana-2083	131	1	−	−	PROPN
cana-2083	131	2	−	−	NOUN
cana-2083	131	3			NOUN
cana-2083	131	4			X
cana-2083	131	5	and	and	CCONJ
cana-2083	131	6	1	1	NUM
cana-2083	131	7	1	1	NUM
cana-2083	131	8	n	n	NUM
cana-2083	132	1	i	i	PRON
cana-2083	132	2	i	i	VERB
cana-2083	132	3	x	x	VERB
cana-2083	132	4	x	x	VERB
cana-2083	132	5	n	n	NOUN
cana-2083	132	6	=	=	SYM
cana-2083	132	7	=	=	SYM
cana-2083	132	8			X
cana-2083	132	9	and	and	CCONJ
cana-2083	132	10	,	,	PUNCT
cana-2083	132	11	p	p	NOUN
cana-2083	132	12	is	be	AUX
cana-2083	132	13	the	the	DET
cana-2083	132	14	number	number	NOUN
cana-2083	132	15	of	of	ADP
cana-2083	132	16	variables	variable	NOUN
cana-2083	132	17	.	.	PUNCT
cana-2083	133	1	the	the	DET
cana-2083	133	2	test	test	NOUN
cana-2083	133	3	statistics	statistic	NOUN
cana-2083	133	4	for	for	ADP
cana-2083	133	5	skewness	skewness	NOUN
cana-2083	133	6	and	and	CCONJ
cana-2083	133	7	kurtosis	kurtosis	NOUN
cana-2083	133	8	are	be	AUX
cana-2083	133	9	,	,	PUNCT
cana-2083	133	10	1	1	NUM
cana-2083	133	11	,	,	PUNCT
cana-2083	133	12	2	2	NUM
cana-2083	133	13	1	1	NUM
cana-2083	133	14	(	(	PUNCT
cana-2083	133	15	1	1	NUM
cana-2083	133	16	)	)	PUNCT
cana-2083	133	17	(	(	PUNCT
cana-2083	133	18	2)/6	2)/6	NUM
cana-2083	133	19	ˆ	ˆ	ADJ
cana-2083	133	20	~	~	PUNCT
cana-2083	133	21	6	6	NUM
cana-2083	133	22	p	p	NOUN
cana-2083	133	23	p	p	X
cana-2083	133	24	p	p	X
cana-2083	133	25	p	p	NOUN
cana-2083	133	26	approx	approx	NOUN
cana-2083	133	27	n	n	ADV
cana-2083	133	28			NOUN
cana-2083	133	29			NOUN
cana-2083	133	30	+	+	CCONJ
cana-2083	134	1	+	+	PUNCT
cana-2083	134	2	=	=	SYM
cana-2083	134	3	and	and	CCONJ
cana-2083	134	4	(	(	PUNCT
cana-2083	134	5	)	)	PUNCT
cana-2083	134	6	(	(	PUNCT
cana-2083	134	7	)	)	PUNCT
cana-2083	134	8	(	(	PUNCT
cana-2083	134	9	)	)	PUNCT
cana-2083	134	10	2	2	NUM
cana-2083	134	11	,	,	PUNCT
cana-2083	134	12	2	2	NUM
cana-2083	134	13	ˆ	ˆ	NOUN
cana-2083	134	14	(	(	PUNCT
cana-2083	134	15	2	2	NUM
cana-2083	134	16	)	)	PUNCT
cana-2083	134	17	~	~	PUNCT
cana-2083	134	18	0,1	0,1	NUM
cana-2083	134	19	8	8	NUM
cana-2083	134	20	(	(	PUNCT
cana-2083	134	21	2	2	NUM
cana-2083	134	22	)	)	PUNCT
cana-2083	134	23	p	p	NOUN
cana-2083	134	24	asymp	asymp	NOUN
cana-2083	134	25	p	p	PROPN
cana-2083	134	26	p	p	PROPN
cana-2083	134	27	n	n	PROPN
cana-2083	134	28	p	p	NOUN
cana-2083	134	29	p	p	NOUN
cana-2083	134	30	n	n	CCONJ
cana-2083	134	31			NOUN
cana-2083	134	32			VERB
cana-2083	134	33	−	−	PROPN
cana-2083	134	34	+	+	SYM
cana-2083	134	35	=	=	SYM
cana-2083	135	1	+	+	CCONJ
cana-2083	135	2	respectively	respectively	ADV
cana-2083	135	3	.	.	PUNCT
cana-2083	136	1	2.2.5	2.2.5	NUM
cana-2083	136	2	criteria	criterion	NOUN
cana-2083	136	3	for	for	ADP
cana-2083	136	4	model	model	NOUN
cana-2083	136	5	selection	selection	NOUN
cana-2083	136	6	the	the	DET
cana-2083	136	7	most	most	ADV
cana-2083	136	8	popular	popular	ADJ
cana-2083	136	9	information	information	NOUN
cana-2083	136	10	criteria	criterion	NOUN
cana-2083	136	11	for	for	ADP
cana-2083	136	12	choosing	choose	VERB
cana-2083	136	13	a	a	DET
cana-2083	136	14	model	model	NOUN
cana-2083	136	15	are	be	AUX
cana-2083	136	16	the	the	DET
cana-2083	136	17	akaike	akaike	ADJ
cana-2083	136	18	information	information	NOUN
cana-2083	136	19	criterion	criterion	NOUN
cana-2083	136	20	(	(	PUNCT
cana-2083	136	21	aic	aic	PROPN
cana-2083	136	22	)	)	PUNCT
cana-2083	136	23	and	and	CCONJ
cana-2083	136	24	the	the	DET
cana-2083	136	25	bayesian	bayesian	ADJ
cana-2083	136	26	information	information	NOUN
cana-2083	136	27	criterion	criterion	NOUN
cana-2083	136	28	(	(	PUNCT
cana-2083	136	29	bic	bic	PROPN
cana-2083	136	30	)	)	PUNCT
cana-2083	136	31	,	,	PUNCT
cana-2083	136	32	given	give	VERB
cana-2083	136	33	by	by	ADP
cana-2083	136	34	:	:	PUNCT
cana-2083	136	35	2	2	NUM
cana-2083	136	36	log	log	NOUN
cana-2083	136	37	(	(	PUNCT
cana-2083	136	38	)	)	PUNCT
cana-2083	136	39	2aic	2aic	NUM
cana-2083	136	40	l	l	NOUN
cana-2083	136	41	p=	p=	NOUN
cana-2083	137	1	−	−	NOUN
cana-2083	137	2	+	+	CCONJ
cana-2083	137	3	(	(	PUNCT
cana-2083	137	4	4	4	X
cana-2083	137	5	)	)	PUNCT
cana-2083	137	6	2log	2log	PROPN
cana-2083	137	7	(	(	PUNCT
cana-2083	137	8	)	)	PUNCT
cana-2083	137	9	log	log	NOUN
cana-2083	137	10	(	(	PUNCT
cana-2083	137	11	)	)	PUNCT
cana-2083	137	12	.bic	.bic	PUNCT
cana-2083	138	1	l	l	NOUN
cana-2083	138	2	n	n	X
cana-2083	138	3	p=	p=	NOUN
cana-2083	138	4	−	−	PROPN
cana-2083	138	5	+	+	CCONJ
cana-2083	138	6	(	(	PUNCT
cana-2083	138	7	5	5	X
cana-2083	138	8	)	)	PUNCT
cana-2083	138	9	communications	communication	NOUN
cana-2083	138	10	on	on	ADP
cana-2083	138	11	applied	apply	VERB
cana-2083	138	12	nonlinear	nonlinear	ADJ
cana-2083	138	13	analysis	analysis	NOUN
cana-2083	138	14	issn	issn	NOUN
cana-2083	138	15	:	:	PUNCT
cana-2083	138	16	1074	1074	NUM
cana-2083	138	17	-	-	PUNCT
cana-2083	138	18	133x	133x	NUM
cana-2083	138	19	vol	vol	NOUN
cana-2083	138	20	32	32	NUM
cana-2083	138	21	no	no	NOUN
cana-2083	138	22	.	.	PUNCT
cana-2083	139	1	1s	1s	NUM
cana-2083	139	2	(	(	PUNCT
cana-2083	139	3	2025	2025	NUM
cana-2083	139	4	)	)	PUNCT
cana-2083	139	5	6	6	NUM
cana-2083	139	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2083	139	7	where	where	SCONJ
cana-2083	139	8	,	,	PUNCT
cana-2083	139	9	l	l	NOUN
cana-2083	139	10	is	be	AUX
cana-2083	139	11	the	the	DET
cana-2083	139	12	likelihood	likelihood	NOUN
cana-2083	139	13	under	under	ADP
cana-2083	139	14	the	the	DET
cana-2083	139	15	fitted	fit	VERB
cana-2083	139	16	model	model	NOUN
cana-2083	139	17	,	,	PUNCT
cana-2083	139	18	p	p	PROPN
cana-2083	139	19	is	be	AUX
cana-2083	139	20	the	the	DET
cana-2083	139	21	number	number	NOUN
cana-2083	139	22	of	of	ADP
cana-2083	139	23	parameters	parameter	NOUN
cana-2083	139	24	,	,	PUNCT
cana-2083	139	25	and	and	CCONJ
cana-2083	139	26	n	n	PRON
cana-2083	139	27	is	be	AUX
cana-2083	139	28	number	number	NOUN
cana-2083	139	29	of	of	ADP
cana-2083	139	30	total	total	ADJ
cana-2083	139	31	observations	observation	NOUN
cana-2083	139	32	.	.	PUNCT
cana-2083	140	1	the	the	DET
cana-2083	140	2	smallest	small	ADJ
cana-2083	140	3	value	value	NOUN
cana-2083	140	4	of	of	ADP
cana-2083	140	5	aic	aic	PROPN
cana-2083	140	6	or	or	CCONJ
cana-2083	140	7	bic	bic	PROPN
cana-2083	140	8	give	give	VERB
cana-2083	140	9	best	good	ADJ
cana-2083	140	10	fit	fit	ADJ
cana-2083	140	11	model	model	NOUN
cana-2083	140	12	for	for	ADP
cana-2083	140	13	data	datum	NOUN
cana-2083	140	14	(	(	PUNCT
cana-2083	140	15	kuha	kuha	NOUN
cana-2083	140	16	,	,	PUNCT
cana-2083	140	17	2004	2004	NUM
cana-2083	140	18	;	;	PUNCT
cana-2083	140	19	bradman	bradman	PROPN
cana-2083	140	20	m.	m.	PROPN
cana-2083	140	21	et	et	PROPN
cana-2083	140	22	al	al	PROPN
cana-2083	140	23	.	.	PROPN
cana-2083	140	24	,	,	PUNCT
cana-2083	140	25	2003	2003	NUM
cana-2083	140	26	)	)	PUNCT
cana-2083	140	27	.	.	PUNCT
cana-2083	141	1	2.2.6	2.2.6	NUM
cana-2083	141	2	algorithm	algorithm	NOUN
cana-2083	141	3	used	use	VERB
cana-2083	141	4	in	in	ADP
cana-2083	141	5	the	the	DET
cana-2083	141	6	study	study	NOUN
cana-2083	141	7	the	the	DET
cana-2083	141	8	following	follow	VERB
cana-2083	141	9	flow	flow	NOUN
cana-2083	141	10	chart	chart	NOUN
cana-2083	141	11	describes	describe	VERB
cana-2083	141	12	the	the	DET
cana-2083	141	13	algorithm	algorithm	NOUN
cana-2083	141	14	used	use	VERB
cana-2083	141	15	in	in	ADP
cana-2083	141	16	this	this	DET
cana-2083	141	17	study	study	NOUN
cana-2083	141	18	.	.	PUNCT
cana-2083	142	1	fig	fig	NOUN
cana-2083	142	2	.	.	PUNCT
cana-2083	143	1	1	1	NUM
cana-2083	143	2	algorithm	algorithm	NOUN
cana-2083	143	3	of	of	ADP
cana-2083	143	4	the	the	DET
cana-2083	143	5	modeling	modeling	NOUN
cana-2083	143	6	and	and	CCONJ
cana-2083	143	7	its	its	PRON
cana-2083	143	8	application	application	NOUN
cana-2083	143	9	3	3	NUM
cana-2083	143	10	results	result	VERB
cana-2083	143	11	3.1	3.1	NUM
cana-2083	143	12	data	datum	NOUN
cana-2083	143	13	description	description	NOUN
cana-2083	143	14	table	table	NOUN
cana-2083	143	15	2	2	NUM
cana-2083	143	16	presents	present	VERB
cana-2083	143	17	the	the	DET
cana-2083	143	18	descriptive	descriptive	ADJ
cana-2083	143	19	statistics	statistic	NOUN
cana-2083	143	20	of	of	ADP
cana-2083	143	21	934	934	NUM
cana-2083	143	22	respondents	respondent	NOUN
cana-2083	143	23	for	for	ADP
cana-2083	143	24	dataset_1(survey	dataset_1(survey	PROPN
cana-2083	143	25	3	3	NUM
cana-2083	143	26	data	datum	NOUN
cana-2083	143	27	)	)	PUNCT
cana-2083	143	28	.	.	PUNCT
cana-2083	144	1	the	the	DET
cana-2083	144	2	mean	mean	ADJ
cana-2083	144	3	and	and	CCONJ
cana-2083	144	4	standard	standard	ADJ
cana-2083	144	5	deviation	deviation	NOUN
cana-2083	144	6	value	value	NOUN
cana-2083	144	7	of	of	ADP
cana-2083	144	8	ghq	ghq	ADJ
cana-2083	144	9	total	total	NOUN
cana-2083	144	10	is	be	AUX
cana-2083	144	11	16.82	16.82	NUM
cana-2083	144	12	and	and	CCONJ
cana-2083	144	13	7.98	7.98	NUM
cana-2083	144	14	respectively	respectively	ADV
cana-2083	144	15	.	.	PUNCT
cana-2083	145	1	the	the	DET
cana-2083	145	2	mean	mean	ADJ
cana-2083	145	3	and	and	CCONJ
cana-2083	145	4	standard	standard	ADJ
cana-2083	145	5	deviation	deviation	NOUN
cana-2083	145	6	value	value	NOUN
cana-2083	145	7	difficulty	difficulty	NOUN
cana-2083	145	8	score	score	NOUN
cana-2083	145	9	is	be	AUX
cana-2083	145	10	15.11	15.11	NUM
cana-2083	145	11	and	and	CCONJ
cana-2083	145	12	5.90	5.90	NUM
cana-2083	145	13	respectively	respectively	ADV
cana-2083	145	14	.	.	PUNCT
cana-2083	146	1	the	the	DET
cana-2083	146	2	maximum	maximum	ADJ
cana-2083	146	3	value	value	NOUN
cana-2083	146	4	of	of	ADP
cana-2083	146	5	difficulty	difficulty	NOUN
cana-2083	146	6	score	score	NOUN
cana-2083	146	7	is	be	AUX
cana-2083	146	8	31	31	NUM
cana-2083	146	9	and	and	CCONJ
cana-2083	146	10	that	that	PRON
cana-2083	146	11	of	of	ADP
cana-2083	146	12	ghq	ghq	ADJ
cana-2083	146	13	total	total	NOUN
cana-2083	146	14	is	be	AUX
cana-2083	146	15	36	36	NUM
cana-2083	146	16	.	.	PUNCT
cana-2083	147	1	communications	communication	NOUN
cana-2083	147	2	on	on	ADP
cana-2083	147	3	applied	apply	VERB
cana-2083	147	4	nonlinear	nonlinear	ADJ
cana-2083	147	5	analysis	analysis	NOUN
cana-2083	147	6	issn	issn	NOUN
cana-2083	147	7	:	:	PUNCT
cana-2083	147	8	1074	1074	NUM
cana-2083	147	9	-	-	PUNCT
cana-2083	147	10	133x	133x	NUM
cana-2083	147	11	vol	vol	NOUN
cana-2083	147	12	32	32	NUM
cana-2083	147	13	no	no	NOUN
cana-2083	147	14	.	.	PUNCT
cana-2083	148	1	1s	1s	NUM
cana-2083	148	2	(	(	PUNCT
cana-2083	148	3	2025	2025	NUM
cana-2083	148	4	)	)	PUNCT
cana-2083	149	1	7	7	NUM
cana-2083	149	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-2083	149	3	table	table	NOUN
cana-2083	149	4	2	2	NUM
cana-2083	149	5	descriptive	descriptive	ADJ
cana-2083	149	6	statistics	statistic	NOUN
cana-2083	149	7	of	of	ADP
cana-2083	149	8	variables	variable	NOUN
cana-2083	149	9	:	:	PUNCT
cana-2083	149	10	ghq	ghq	VERB
cana-2083	149	11	total	total	NOUN
cana-2083	149	12	and	and	CCONJ
cana-2083	149	13	difficulty	difficulty	NOUN
cana-2083	149	14	score	score	NOUN
cana-2083	149	15	for	for	ADP
cana-2083	149	16	dataset_1(survey	dataset_1(survey	PROPN
cana-2083	149	17	3	3	NUM
cana-2083	149	18	data	datum	NOUN
cana-2083	149	19	)	)	PUNCT
cana-2083	149	20	statistic	statistic	NOUN
cana-2083	149	21	ghq	ghq	NOUN
cana-2083	149	22	total	total	ADJ
cana-2083	149	23	difficulty	difficulty	NOUN
cana-2083	149	24	score	score	VERB
cana-2083	149	25	total	total	ADJ
cana-2083	149	26	934	934	NUM
cana-2083	149	27	934	934	NUM
cana-2083	149	28	minimum	minimum	NOUN
cana-2083	149	29	0	0	NUM
cana-2083	149	30	1	1	NUM
cana-2083	149	31	maximum	maximum	NOUN
cana-2083	149	32	36	36	NUM
cana-2083	149	33	31	31	NUM
cana-2083	149	34	range	range	NOUN
cana-2083	149	35	36	36	NUM
cana-2083	149	36	30	30	NUM
cana-2083	149	37	mean	mean	VERB
cana-2083	149	38	16.82	16.82	NUM
cana-2083	149	39	15.11	15.11	NUM
cana-2083	149	40	standard	standard	ADJ
cana-2083	149	41	deviation	deviation	NOUN
cana-2083	149	42	7.98	7.98	NUM
cana-2083	149	43	5.90	5.90	NUM
cana-2083	149	44	table	table	NOUN
cana-2083	149	45	3	3	NUM
cana-2083	149	46	presents	present	VERB
cana-2083	149	47	the	the	DET
cana-2083	149	48	descriptive	descriptive	ADJ
cana-2083	149	49	statistics	statistic	NOUN
cana-2083	149	50	of	of	ADP
cana-2083	149	51	1020	1020	NUM
cana-2083	149	52	and	and	CCONJ
cana-2083	149	53	743	743	NUM
cana-2083	149	54	respondents	respondent	NOUN
cana-2083	149	55	giving	give	VERB
cana-2083	149	56	minimum	minimum	NOUN
cana-2083	149	57	;	;	PUNCT
cana-2083	149	58	maximum	maximum	ADJ
cana-2083	149	59	,	,	PUNCT
cana-2083	149	60	range	range	NOUN
cana-2083	149	61	,	,	PUNCT
cana-2083	149	62	mean	mean	VERB
cana-2083	149	63	,	,	PUNCT
cana-2083	149	64	and	and	CCONJ
cana-2083	149	65	standard	standard	ADJ
cana-2083	149	66	deviation	deviation	NOUN
cana-2083	149	67	for	for	ADP
cana-2083	149	68	dataset_2	dataset_2	NOUN
cana-2083	149	69	(	(	PUNCT
cana-2083	149	70	survey	survey	NOUN
cana-2083	149	71	1	1	NUM
cana-2083	149	72	and	and	CCONJ
cana-2083	149	73	survey	survey	VERB
cana-2083	149	74	2	2	NUM
cana-2083	149	75	data	datum	NOUN
cana-2083	149	76	)	)	PUNCT
cana-2083	149	77	.	.	PUNCT
cana-2083	150	1	the	the	DET
cana-2083	150	2	mean	mean	ADJ
cana-2083	150	3	value	value	NOUN
cana-2083	150	4	of	of	ADP
cana-2083	150	5	difficulty	difficulty	NOUN
cana-2083	150	6	score	score	NOUN
cana-2083	150	7	is	be	AUX
cana-2083	150	8	13.64	13.64	NUM
cana-2083	150	9	and	and	CCONJ
cana-2083	150	10	12.73	12.73	NUM
cana-2083	150	11	for	for	ADP
cana-2083	150	12	1st	1st	ADJ
cana-2083	150	13	and	and	CCONJ
cana-2083	150	14	2nd	2nd	ADJ
cana-2083	150	15	survey	survey	NOUN
cana-2083	150	16	respectively	respectively	ADV
cana-2083	150	17	.	.	PUNCT
cana-2083	151	1	the	the	DET
cana-2083	151	2	maximum	maximum	ADJ
cana-2083	151	3	value	value	NOUN
cana-2083	151	4	of	of	ADP
cana-2083	151	5	difficulty	difficulty	NOUN
cana-2083	151	6	score	score	VERB
cana-2083	151	7	for	for	ADP
cana-2083	151	8	1st	1st	ADJ
cana-2083	151	9	and	and	CCONJ
cana-2083	151	10	2nd	2nd	ADJ
cana-2083	151	11	survey	survey	NOUN
cana-2083	151	12	is	be	AUX
cana-2083	151	13	31	31	NUM
cana-2083	151	14	and	and	CCONJ
cana-2083	151	15	29	29	NUM
cana-2083	151	16	respectively	respectively	ADV
cana-2083	151	17	.	.	PUNCT
cana-2083	152	1	table	table	NOUN
cana-2083	152	2	3	3	NUM
cana-2083	152	3	descriptive	descriptive	ADJ
cana-2083	152	4	statistics	statistic	NOUN
cana-2083	152	5	variable	variable	NOUN
cana-2083	152	6	;	;	PUNCT
cana-2083	152	7	difficulty	difficulty	NOUN
cana-2083	152	8	score	score	VERB
cana-2083	152	9	for	for	ADP
cana-2083	152	10	dataset_2	dataset_2	NOUN
cana-2083	152	11	(	(	PUNCT
cana-2083	152	12	survey	survey	NOUN
cana-2083	152	13	1	1	NUM
cana-2083	152	14	and	and	CCONJ
cana-2083	152	15	survey	survey	VERB
cana-2083	152	16	2	2	NUM
cana-2083	152	17	data	datum	NOUN
cana-2083	152	18	)	)	PUNCT
cana-2083	152	19	statistic	statistic	ADJ
cana-2083	152	20	difficulty	difficulty	NOUN
cana-2083	152	21	score	score	NOUN
cana-2083	152	22	for	for	ADP
cana-2083	152	23	1st	1st	ADJ
cana-2083	152	24	survey	survey	NOUN
cana-2083	152	25	difficulty	difficulty	NOUN
cana-2083	152	26	score	score	NOUN
cana-2083	152	27	for	for	ADP
cana-2083	152	28	2nd	2nd	ADJ
cana-2083	152	29	survey	survey	NOUN
cana-2083	152	30	total	total	ADJ
cana-2083	152	31	1020	1020	NUM
cana-2083	152	32	743	743	NUM
cana-2083	152	33	minimum	minimum	NOUN
cana-2083	152	34	2	2	NUM
cana-2083	152	35	2	2	NUM
cana-2083	152	36	maximum	maximum	NOUN
cana-2083	152	37	31	31	NUM
cana-2083	152	38	29	29	NUM
cana-2083	152	39	range	range	NOUN
cana-2083	152	40	29	29	NUM
cana-2083	152	41	27	27	NUM
cana-2083	152	42	mean	mean	NOUN
cana-2083	152	43	13.64	13.64	NUM
cana-2083	152	44	12.73	12.73	NUM
cana-2083	152	45	standard	standard	ADJ
cana-2083	152	46	deviation	deviation	NOUN
cana-2083	152	47	5.35	5.35	NUM
cana-2083	152	48	5.17	5.17	NUM
cana-2083	152	49	3.2	3.2	NUM
cana-2083	152	50	distribution	distribution	NOUN
cana-2083	152	51	selection	selection	NOUN
cana-2083	152	52	for	for	ADP
cana-2083	152	53	ghq	ghq	NOUN
cana-2083	152	54	total	total	NOUN
cana-2083	152	55	and	and	CCONJ
cana-2083	152	56	difficulty	difficulty	NOUN
cana-2083	152	57	scores	score	VERB
cana-2083	152	58	the	the	DET
cana-2083	152	59	table	table	NOUN
cana-2083	152	60	4	4	NUM
cana-2083	152	61	below	below	ADP
cana-2083	152	62	presents	present	VERB
cana-2083	152	63	the	the	DET
cana-2083	152	64	aic	aic	PROPN
cana-2083	152	65	and	and	CCONJ
cana-2083	152	66	bic	bic	PROPN
cana-2083	152	67	values	value	NOUN
cana-2083	152	68	of	of	ADP
cana-2083	152	69	the	the	DET
cana-2083	152	70	fitted	fit	VERB
cana-2083	152	71	distributions	distribution	NOUN
cana-2083	152	72	on	on	ADP
cana-2083	152	73	dataset_1	dataset_1	PROPN
cana-2083	152	74	.	.	PUNCT
cana-2083	153	1	on	on	ADP
cana-2083	153	2	the	the	DET
cana-2083	153	3	basis	basis	NOUN
cana-2083	153	4	of	of	ADP
cana-2083	153	5	the	the	DET
cana-2083	153	6	least	least	ADJ
cana-2083	153	7	aic	aic	PROPN
cana-2083	153	8	and	and	CCONJ
cana-2083	153	9	bic	bic	PROPN
cana-2083	153	10	criteria	criterion	NOUN
cana-2083	153	11	,	,	PUNCT
cana-2083	153	12	weibull	weibull	NOUN
cana-2083	153	13	distribution	distribution	NOUN
cana-2083	153	14	(	(	PUNCT
cana-2083	153	15	with	with	ADP
cana-2083	153	16	computed	compute	VERB
cana-2083	153	17	parameters	parameter	NOUN
cana-2083	153	18	)	)	PUNCT
cana-2083	153	19	has	have	AUX
cana-2083	153	20	been	be	AUX
cana-2083	153	21	found	find	VERB
cana-2083	153	22	to	to	PART
cana-2083	153	23	be	be	AUX
cana-2083	153	24	the	the	DET
cana-2083	153	25	most	most	ADV
cana-2083	153	26	appropriate	appropriate	ADJ
cana-2083	153	27	fir	fir	NOUN
cana-2083	153	28	for	for	ADP
cana-2083	153	29	both	both	PRON
cana-2083	153	30	the	the	DET
cana-2083	153	31	variables	variable	NOUN
cana-2083	153	32	.	.	PUNCT
cana-2083	154	1	for	for	ADP
cana-2083	154	2	ghq	ghq	NOUN
cana-2083	154	3	total	total	NOUN
cana-2083	154	4	,	,	PUNCT
cana-2083	154	5	weibull	weibull	NOUN
cana-2083	154	6	distribution	distribution	NOUN
cana-2083	154	7	is	be	AUX
cana-2083	154	8	obtained	obtain	VERB
cana-2083	154	9	with	with	ADP
cana-2083	154	10	parameters	parameter	NOUN
cana-2083	154	11	,	,	PUNCT
cana-2083	154	12	the	the	DET
cana-2083	154	13	shape	shape	NOUN
cana-2083	154	14	parameter	parameter	NOUN
cana-2083	154	15	(	(	PUNCT
cana-2083	154	16	k̂	k̂	PROPN
cana-2083	154	17	)	)	PUNCT
cana-2083	154	18	is	be	AUX
cana-2083	154	19	2.266015	2.266015	NUM
cana-2083	154	20	and	and	CCONJ
cana-2083	154	21	the	the	DET
cana-2083	154	22	scale	scale	NOUN
cana-2083	154	23	parameter	parameter	NOUN
cana-2083	154	24	(	(	PUNCT
cana-2083	154	25	̂	̂	NOUN
cana-2083	154	26	)	)	PUNCT
cana-2083	154	27	is	be	AUX
cana-2083	154	28	19.06131	19.06131	NUM
cana-2083	154	29	.	.	PUNCT
cana-2083	155	1	for	for	ADP
cana-2083	155	2	the	the	DET
cana-2083	155	3	difficulty	difficulty	NOUN
cana-2083	155	4	score	score	NOUN
cana-2083	155	5	,	,	PUNCT
cana-2083	155	6	the	the	DET
cana-2083	155	7	weibull	weibull	NOUN
cana-2083	155	8	distribution	distribution	NOUN
cana-2083	155	9	has	have	VERB
cana-2083	155	10	the	the	DET
cana-2083	155	11	parameter	parameter	NOUN
cana-2083	155	12	shape	shape	NOUN
cana-2083	155	13	(	(	PUNCT
cana-2083	155	14	k̂	k̂	PROPN
cana-2083	155	15	)	)	PUNCT
cana-2083	155	16	2.790381	2.790381	NUM
cana-2083	155	17	and	and	CCONJ
cana-2083	155	18	the	the	DET
cana-2083	155	19	scale	scale	NOUN
cana-2083	155	20	(	(	PUNCT
cana-2083	155	21	̂	̂	NOUN
cana-2083	155	22	)	)	PUNCT
cana-2083	155	23	16.98565	16.98565	NUM
cana-2083	155	24	.	.	PUNCT
cana-2083	156	1	table	table	NOUN
cana-2083	156	2	4	4	NUM
cana-2083	156	3	aic	aic	PROPN
cana-2083	156	4	and	and	CCONJ
cana-2083	156	5	bic	bic	PROPN
cana-2083	156	6	values	value	NOUN
cana-2083	156	7	of	of	ADP
cana-2083	156	8	different	different	ADJ
cana-2083	156	9	distributions	distribution	NOUN
cana-2083	156	10	for	for	ADP
cana-2083	156	11	ghq	ghq	NOUN
cana-2083	156	12	total	total	NOUN
cana-2083	156	13	and	and	CCONJ
cana-2083	156	14	difficulty	difficulty	NOUN
cana-2083	156	15	score	score	VERB
cana-2083	156	16	variable	variable	ADJ
cana-2083	156	17	distribution	distribution	NOUN
cana-2083	156	18	aic	aic	PROPN
cana-2083	156	19	values	value	VERB
cana-2083	156	20	bic	bic	PROPN
cana-2083	156	21	values	value	NOUN
cana-2083	156	22	selected	select	VERB
cana-2083	156	23	distribution	distribution	NOUN
cana-2083	156	24	mle	mle	NOUN
cana-2083	156	25	of	of	ADP
cana-2083	156	26	the	the	DET
cana-2083	156	27	parameters	parameter	NOUN
cana-2083	156	28	ghq	ghq	VERB
cana-2083	156	29	total	total	ADJ
cana-2083	156	30	normal	normal	ADJ
cana-2083	156	31	6514.19	6514.19	NUM
cana-2083	156	32	6523.87	6523.87	NUM
cana-2083	156	33	weibull	weibull	X
cana-2083	156	34	k̂	k̂	NOUN
cana-2083	156	35	=	=	SYM
cana-2083	156	36	2.266015	2.266015	NUM
cana-2083	156	37	gamma	gamma	NOUN
cana-2083	156	38	6488.11	6488.11	NUM
cana-2083	156	39	6497.79	6497.79	NUM
cana-2083	156	40	weibull	weibull	NOUN
cana-2083	156	41	6447.84	6447.84	NUM
cana-2083	156	42	6457.51	6457.51	NUM
cana-2083	156	43	communications	communication	NOUN
cana-2083	156	44	on	on	ADP
cana-2083	156	45	applied	apply	VERB
cana-2083	156	46	nonlinear	nonlinear	ADJ
cana-2083	156	47	analysis	analysis	NOUN
cana-2083	156	48	issn	issn	NOUN
cana-2083	156	49	:	:	PUNCT
cana-2083	156	50	1074	1074	NUM
cana-2083	156	51	-	-	PUNCT
cana-2083	156	52	133x	133x	NUM
cana-2083	156	53	vol	vol	NOUN
cana-2083	156	54	32	32	NUM
cana-2083	156	55	no	no	NOUN
cana-2083	156	56	.	.	PUNCT
cana-2083	157	1	1s	1s	NUM
cana-2083	157	2	(	(	PUNCT
cana-2083	157	3	2025	2025	NUM
cana-2083	157	4	)	)	PUNCT
cana-2083	157	5	8	8	NUM
cana-2083	157	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2083	157	7	lognormal	lognormal	ADJ
cana-2083	157	8	6592.33	6592.33	NUM
cana-2083	157	9	6602.005	6602.005	NUM
cana-2083	157	10	̂	̂	NOUN
cana-2083	157	11	=	=	SYM
cana-2083	157	12	19.06131	19.06131	NUM
cana-2083	157	13	exponential	exponential	NOUN
cana-2083	157	14	7131.75	7131.75	NUM
cana-2083	157	15	7136.59	7136.59	NUM
cana-2083	157	16	difficulty	difficulty	NOUN
cana-2083	157	17	score	score	VERB
cana-2083	157	18	normal	normal	ADJ
cana-2083	157	19	5970.19	5970.19	NUM
cana-2083	157	20	5979.87	5979.87	NUM
cana-2083	157	21	weibull	weibull	X
cana-2083	157	22	k̂	k̂	X
cana-2083	157	23	=	=	SYM
cana-2083	157	24	2.790381	2.790381	NUM
cana-2083	157	25	̂	̂	NOUN
cana-2083	157	26	=	=	SYM
cana-2083	157	27	16.98565	16.98565	NUM
cana-2083	157	28	gamma	gamma	NOUN
cana-2083	157	29	6006.99	6006.99	NUM
cana-2083	157	30	6016.67	6016.67	NUM
cana-2083	157	31	weibull	weibull	NOUN
cana-2083	157	32	5945.73	5945.73	NUM
cana-2083	157	33	5955.41	5955.41	NUM
cana-2083	157	34	lognormal	lognormal	ADJ
cana-2083	157	35	6117.06	6117.06	NUM
cana-2083	157	36	6126.74	6126.74	NUM
cana-2083	157	37	exponential	exponential	NOUN
cana-2083	157	38	6942.85	6942.85	NUM
cana-2083	157	39	6947.69	6947.69	NUM
cana-2083	157	40	3.3	3.3	NUM
cana-2083	157	41	transformations	transformation	NOUN
cana-2083	157	42	applied	apply	VERB
cana-2083	157	43	on	on	ADP
cana-2083	157	44	ghq	ghq	NOUN
cana-2083	157	45	total	total	NOUN
cana-2083	157	46	and	and	CCONJ
cana-2083	157	47	difficulty	difficulty	NOUN
cana-2083	157	48	score	score	VERB
cana-2083	157	49	the	the	DET
cana-2083	157	50	square	square	ADJ
cana-2083	157	51	root	root	NOUN
cana-2083	157	52	transformation	transformation	NOUN
cana-2083	157	53	has	have	AUX
cana-2083	157	54	been	be	AUX
cana-2083	157	55	applied	apply	VERB
cana-2083	157	56	on	on	ADP
cana-2083	157	57	ghq	ghq	NOUN
cana-2083	157	58	total	total	NOUN
cana-2083	157	59	to	to	PART
cana-2083	157	60	obtain	obtain	VERB
cana-2083	157	61	an	an	DET
cana-2083	157	62	approximately	approximately	ADV
cana-2083	157	63	normal	normal	ADJ
cana-2083	157	64	*	*	PUNCT
cana-2083	157	65	ghq	ghq	NOUN
cana-2083	157	66	total	total	NOUN
cana-2083	157	67	and	and	CCONJ
cana-2083	157	68	the	the	DET
cana-2083	157	69	fourth	fourth	ADJ
cana-2083	157	70	root	root	NOUN
cana-2083	157	71	transformation	transformation	NOUN
cana-2083	157	72	has	have	AUX
cana-2083	157	73	been	be	AUX
cana-2083	157	74	applied	apply	VERB
cana-2083	157	75	on	on	ADP
cana-2083	157	76	difficulty	difficulty	NOUN
cana-2083	157	77	score	score	NOUN
cana-2083	157	78	to	to	PART
cana-2083	157	79	obtain	obtain	VERB
cana-2083	157	80	an	an	DET
cana-2083	157	81	approximately	approximately	ADV
cana-2083	157	82	normal	normal	ADJ
cana-2083	157	83	*	*	PUNCT
cana-2083	157	84	diff	diff	NOUN
cana-2083	157	85	score	score	NOUN
cana-2083	157	86	.	.	PUNCT
cana-2083	158	1	the	the	DET
cana-2083	158	2	normality	normality	NOUN
cana-2083	158	3	of	of	ADP
cana-2083	158	4	the	the	DET
cana-2083	158	5	transformed	transform	VERB
cana-2083	158	6	variables	variable	NOUN
cana-2083	158	7	*	*	PUNCT
cana-2083	158	8	ghq	ghq	ADP
cana-2083	158	9	total	total	NOUN
cana-2083	158	10	and	and	CCONJ
cana-2083	158	11	*	*	PUNCT
cana-2083	158	12	diff	diff	NOUN
cana-2083	158	13	score	score	NOUN
cana-2083	158	14	has	have	AUX
cana-2083	158	15	been	be	AUX
cana-2083	158	16	justified	justify	VERB
cana-2083	158	17	by	by	ADP
cana-2083	158	18	plotting	plot	VERB
cana-2083	158	19	the	the	DET
cana-2083	158	20	pdfs	pdfs	NOUN
cana-2083	158	21	and	and	CCONJ
cana-2083	158	22	the	the	DET
cana-2083	158	23	q	q	ADJ
cana-2083	158	24	-	-	PUNCT
cana-2083	158	25	q	q	NOUN
cana-2083	158	26	plots	plot	NOUN
cana-2083	158	27	of	of	ADP
cana-2083	158	28	the	the	DET
cana-2083	158	29	transformed	transform	VERB
cana-2083	158	30	variables	variable	NOUN
cana-2083	158	31	in	in	ADP
cana-2083	158	32	fig	fig	NOUN
cana-2083	158	33	.	.	PUNCT
cana-2083	159	1	2(a	2(a	NUM
cana-2083	159	2	)	)	PUNCT
cana-2083	159	3	,	,	PUNCT
cana-2083	160	1	2(b	2(b	NUM
cana-2083	160	2	)	)	PUNCT
cana-2083	160	3	,	,	PUNCT
cana-2083	160	4	3(a	3(a	NUM
cana-2083	160	5	)	)	PUNCT
cana-2083	160	6	and	and	CCONJ
cana-2083	160	7	3(b	3(b	NUM
cana-2083	160	8	)	)	PUNCT
cana-2083	160	9	.	.	PUNCT
cana-2083	161	1	fig	fig	NOUN
cana-2083	161	2	.	.	PUNCT
cana-2083	162	1	2(a	2(a	NUM
cana-2083	162	2	)	)	PUNCT
cana-2083	162	3	normal	normal	ADJ
cana-2083	162	4	approximation	approximation	NOUN
cana-2083	162	5	of	of	ADP
cana-2083	162	6	*	*	PUNCT
cana-2083	162	7	ghq	ghq	NOUN
cana-2083	162	8	total	total	ADJ
cana-2083	162	9	fig	fig	NOUN
cana-2083	162	10	.	.	PUNCT
cana-2083	163	1	2(b	2(b	NUM
cana-2083	163	2	)	)	PUNCT
cana-2083	163	3	qq	qq	NOUN
cana-2083	163	4	-	-	NOUN
cana-2083	163	5	plot	plot	NOUN
cana-2083	163	6	for	for	ADP
cana-2083	163	7	*	*	PUNCT
cana-2083	163	8	ghq	ghq	NOUN
cana-2083	163	9	total	total	ADJ
cana-2083	163	10	fig	fig	NOUN
cana-2083	163	11	.	.	PUNCT
cana-2083	164	1	3(a	3(a	NUM
cana-2083	164	2	)	)	PUNCT
cana-2083	164	3	normal	normal	ADJ
cana-2083	164	4	approximation	approximation	NOUN
cana-2083	164	5	of	of	ADP
cana-2083	164	6	*	*	PUNCT
cana-2083	164	7	diff	diff	NOUN
cana-2083	164	8	score	score	NOUN
cana-2083	164	9	fig	fig	NOUN
cana-2083	164	10	.	.	PUNCT
cana-2083	165	1	3(b	3(b	NUM
cana-2083	165	2	)	)	PUNCT
cana-2083	165	3	qq	qq	NOUN
cana-2083	165	4	-	-	NOUN
cana-2083	165	5	plot	plot	NOUN
cana-2083	165	6	for	for	ADP
cana-2083	165	7	*	*	PUNCT
cana-2083	165	8	diff	diff	NOUN
cana-2083	165	9	score	score	NOUN
cana-2083	165	10	communications	communication	NOUN
cana-2083	165	11	on	on	ADP
cana-2083	165	12	applied	apply	VERB
cana-2083	165	13	nonlinear	nonlinear	ADJ
cana-2083	165	14	analysis	analysis	NOUN
cana-2083	165	15	issn	issn	NOUN
cana-2083	165	16	:	:	PUNCT
cana-2083	165	17	1074	1074	NUM
cana-2083	165	18	-	-	PUNCT
cana-2083	165	19	133x	133x	NUM
cana-2083	165	20	vol	vol	NOUN
cana-2083	165	21	32	32	NUM
cana-2083	165	22	no	no	NOUN
cana-2083	165	23	.	.	PUNCT
cana-2083	166	1	1s	1s	NUM
cana-2083	166	2	(	(	PUNCT
cana-2083	166	3	2025	2025	NUM
cana-2083	166	4	)	)	PUNCT
cana-2083	166	5	9	9	NUM
cana-2083	166	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2083	166	7	3.4	3.4	NUM
cana-2083	166	8	checking	check	VERB
cana-2083	166	9	multivariate	multivariate	NOUN
cana-2083	166	10	normality	normality	NOUN
cana-2083	166	11	of	of	ADP
cana-2083	166	12	*	*	PUNCT
cana-2083	166	13	ghq	ghq	NOUN
cana-2083	166	14	total	total	NOUN
cana-2083	166	15	and	and	CCONJ
cana-2083	166	16	*	*	PUNCT
cana-2083	166	17	diff	diff	NOUN
cana-2083	166	18	score	score	NOUN
cana-2083	166	19	mardia	mardia	NOUN
cana-2083	166	20	test	test	NOUN
cana-2083	166	21	has	have	AUX
cana-2083	166	22	been	be	AUX
cana-2083	166	23	applied	apply	VERB
cana-2083	166	24	on	on	ADP
cana-2083	166	25	*	*	PUNCT
cana-2083	166	26	ghq	ghq	NOUN
cana-2083	166	27	total	total	NOUN
cana-2083	166	28	and	and	CCONJ
cana-2083	166	29	*	*	PUNCT
cana-2083	166	30	diff	diff	NOUN
cana-2083	166	31	score	score	NOUN
cana-2083	166	32	to	to	PART
cana-2083	166	33	test	test	VERB
cana-2083	166	34	the	the	DET
cana-2083	166	35	multivariate	multivariate	NOUN
cana-2083	166	36	normality	normality	NOUN
cana-2083	166	37	.	.	PUNCT
cana-2083	167	1	skewness	skewness	NOUN
cana-2083	167	2	and	and	CCONJ
cana-2083	167	3	kurtosis	kurtosis	NOUN
cana-2083	167	4	of	of	ADP
cana-2083	167	5	the	the	DET
cana-2083	167	6	bivariate	bivariate	ADJ
cana-2083	167	7	data	datum	NOUN
cana-2083	167	8	are	be	AUX
cana-2083	167	9	1	1	NUM
cana-2083	168	1	=	=	SYM
cana-2083	168	2	2.4134	2.4134	NUM
cana-2083	168	3	(	(	PUNCT
cana-2083	168	4	at	at	ADP
cana-2083	168	5	4	4	NUM
cana-2083	168	6	degrees	degree	NOUN
cana-2083	168	7	of	of	ADP
cana-2083	168	8	freedom	freedom	NOUN
cana-2083	168	9	with	with	ADP
cana-2083	168	10	p	p	NOUN
cana-2083	168	11	-	-	PUNCT
cana-2083	168	12	value	value	NOUN
cana-2083	168	13	=	=	NOUN
cana-2083	168	14	0.6601	0.6601	NUM
cana-2083	168	15	>	>	X
cana-2083	168	16	0.05	0.05	NUM
cana-2083	168	17	)	)	PUNCT
cana-2083	168	18	,	,	PUNCT
cana-2083	168	19	and	and	CCONJ
cana-2083	168	20	2	2	NUM
cana-2083	168	21	=	=	NOUN
cana-2083	168	22	-0.3640	-0.3640	NOUN
cana-2083	168	23	(	(	PUNCT
cana-2083	168	24	with	with	ADP
cana-2083	168	25	p	p	NOUN
cana-2083	168	26	-	-	PUNCT
cana-2083	168	27	value	value	NOUN
cana-2083	168	28	=	=	NOUN
cana-2083	168	29	0.7158	0.7158	NUM
cana-2083	168	30	>	>	SYM
cana-2083	168	31	0.05	0.05	NUM
cana-2083	168	32	)	)	PUNCT
cana-2083	168	33	respectively	respectively	ADV
cana-2083	168	34	.	.	PUNCT
cana-2083	169	1	hence	hence	ADV
cana-2083	169	2	,	,	PUNCT
cana-2083	169	3	the	the	DET
cana-2083	169	4	*	*	PUNCT
cana-2083	169	5	ghq	ghq	NOUN
cana-2083	169	6	total	total	NOUN
cana-2083	169	7	and	and	CCONJ
cana-2083	169	8	*	*	PUNCT
cana-2083	169	9	diff	diff	NOUN
cana-2083	169	10	score	score	NOUN
cana-2083	169	11	jointly	jointly	ADV
cana-2083	169	12	follow	follow	VERB
cana-2083	169	13	bvn	bvn	PROPN
cana-2083	169	14	(	(	PUNCT
cana-2083	169	15	3.971	3.971	NUM
cana-2083	169	16	,	,	PUNCT
cana-2083	169	17	1.939	1.939	NUM
cana-2083	169	18	,	,	PUNCT
cana-2083	169	19	1.05598	1.05598	NUM
cana-2083	169	20	,	,	PUNCT
cana-2083	169	21	0.04516	0.04516	NUM
cana-2083	169	22	,	,	PUNCT
cana-2083	169	23	0.49997	0.49997	NUM
cana-2083	169	24	)	)	PUNCT
cana-2083	169	25	.	.	PUNCT
cana-2083	170	1	3.5	3.5	NUM
cana-2083	170	2	estimating	estimate	VERB
cana-2083	170	3	*	*	PUNCT
cana-2083	170	4	ghq	ghq	VERB
cana-2083	170	5	total	total	NOUN
cana-2083	170	6	through	through	ADP
cana-2083	170	7	*	*	PUNCT
cana-2083	170	8	diff	diff	NOUN
cana-2083	170	9	score	score	NOUN
cana-2083	170	10	and	and	CCONJ
cana-2083	170	11	vice	vice	NOUN
cana-2083	170	12	versa	versa	ADV
cana-2083	170	13	using	use	VERB
cana-2083	170	14	dataset_1	dataset_1	ADV
cana-2083	170	15	through	through	ADP
cana-2083	170	16	bvn	bvn	NOUN
cana-2083	170	17	the	the	DET
cana-2083	170	18	joint	joint	ADJ
cana-2083	170	19	distribution	distribution	NOUN
cana-2083	170	20	of	of	ADP
cana-2083	170	21	variables	variable	NOUN
cana-2083	170	22	*	*	PUNCT
cana-2083	170	23	ghq	ghq	ADP
cana-2083	170	24	total	total	NOUN
cana-2083	170	25	and	and	CCONJ
cana-2083	170	26	*	*	PUNCT
cana-2083	170	27	diff	diff	NOUN
cana-2083	170	28	score	score	NOUN
cana-2083	170	29	is	be	AUX
cana-2083	170	30	bvn	bvn	ADJ
cana-2083	170	31	,	,	PUNCT
cana-2083	170	32	given	give	VERB
cana-2083	170	33	by	by	ADP
cana-2083	170	34	*	*	PUNCT
cana-2083	170	35	total	total	NOUN
cana-2083	170	36	*	*	PUNCT
cana-2083	170	37	total	total	NOUN
cana-2083	170	38	*	*	PUNCT
cana-2083	170	39	total	total	NOUN
cana-2083	170	40	,	,	PUNCT
cana-2083	170	41	*	*	PUNCT
cana-2083	170	42	*	*	PUNCT
cana-2083	170	43	*	*	PUNCT
cana-2083	170	44	total	total	ADJ
cana-2083	170	45	,	,	PUNCT
cana-2083	170	46	*	*	PUNCT
cana-2083	170	47	*	*	PUNCT
cana-2083	170	48	*	*	PUNCT
cana-2083	170	49	total	total	NOUN
cana-2083	170	50	~	~	PUNCT
cana-2083	170	51	,	,	PUNCT
cana-2083	170	52	*	*	PUNCT
cana-2083	170	53	ghq	ghq	VERB
cana-2083	170	54	ghq	ghq	INTJ
cana-2083	170	55	ghq	ghq	NOUN
cana-2083	170	56	diff	diff	NOUN
cana-2083	170	57	score	score	NOUN
cana-2083	170	58	diff	diff	PROPN
cana-2083	170	59	score	score	NOUN
cana-2083	170	60	ghq	ghq	PROPN
cana-2083	170	61	diff	diff	NOUN
cana-2083	170	62	score	score	NOUN
cana-2083	170	63	diff	diff	PROPN
cana-2083	170	64	score	score	NOUN
cana-2083	170	65	ghq	ghq	PROPN
cana-2083	170	66	bvn	bvn	PROPN
cana-2083	170	67	diff	diff	NOUN
cana-2083	170	68	score	score	NOUN
cana-2083	170	69			NOUN
cana-2083	170	70			NOUN
cana-2083	170	71			NOUN
cana-2083	170	72			NOUN
cana-2083	170	73			NOUN
cana-2083	170	74			NOUN
cana-2083	170	75			X
cana-2083	170	76			NOUN
cana-2083	170	77			PROPN
cana-2083	170	78			PROPN
cana-2083	170	79			PROPN
cana-2083	170	80			PROPN
cana-2083	170	81			NOUN
cana-2083	170	82	=	=	PUNCT
cana-2083	170	83			PROPN
cana-2083	170	84	=	=	SYM
cana-2083	170	85			PROPN
cana-2083	170	86			NOUN
cana-2083	170	87			PROPN
cana-2083	170	88			NOUN
cana-2083	170	89			NOUN
cana-2083	170	90			PROPN
cana-2083	170	91			PROPN
cana-2083	170	92			VERB
cana-2083	170	93			PROPN
cana-2083	170	94			NOUN
cana-2083	170	95			NOUN
cana-2083	170	96			PROPN
cana-2083	170	97			NOUN
cana-2083	170	98			NOUN
cana-2083	170	99			NOUN
cana-2083	170	100			NOUN
cana-2083	170	101	(	(	PUNCT
cana-2083	170	102	6	6	NUM
cana-2083	170	103	)	)	PUNCT
cana-2083	170	104	3.5.1	3.5.1	NUM
cana-2083	170	105	generating	generate	VERB
cana-2083	170	106	the	the	DET
cana-2083	170	107	bvn	bvn	PROPN
cana-2083	170	108	population	population	NOUN
cana-2083	170	109	corresponding	correspond	VERB
cana-2083	170	110	to	to	PART
cana-2083	170	111	transformed	transform	VERB
cana-2083	170	112	variables	variable	NOUN
cana-2083	170	113	*	*	PUNCT
cana-2083	170	114	ghq	ghq	ADP
cana-2083	170	115	total	total	NOUN
cana-2083	170	116	and	and	CCONJ
cana-2083	170	117	*	*	PUNCT
cana-2083	170	118	diff	diff	NOUN
cana-2083	170	119	score	score	NOUN
cana-2083	170	120	through	through	ADP
cana-2083	170	121	simulation	simulation	NOUN
cana-2083	170	122	equation	equation	NOUN
cana-2083	170	123	(	(	PUNCT
cana-2083	170	124	6	6	NUM
cana-2083	170	125	)	)	PUNCT
cana-2083	170	126	is	be	AUX
cana-2083	170	127	valid	valid	ADJ
cana-2083	170	128	for	for	ADP
cana-2083	170	129	population	population	NOUN
cana-2083	170	130	parameters	parameter	NOUN
cana-2083	170	131	.	.	PUNCT
cana-2083	171	1	in	in	ADP
cana-2083	171	2	order	order	NOUN
cana-2083	171	3	to	to	PART
cana-2083	171	4	generate	generate	VERB
cana-2083	171	5	the	the	DET
cana-2083	171	6	bvn	bvn	PROPN
cana-2083	171	7	population	population	NOUN
cana-2083	171	8	parameters	parameter	NOUN
cana-2083	171	9	,	,	PUNCT
cana-2083	171	10	we	we	PRON
cana-2083	171	11	conducted	conduct	VERB
cana-2083	171	12	a	a	DET
cana-2083	171	13	simulation	simulation	NOUN
cana-2083	171	14	study	study	NOUN
cana-2083	171	15	as	as	SCONJ
cana-2083	171	16	follows	follow	VERB
cana-2083	171	17	:	:	PUNCT
cana-2083	171	18	1	1	X
cana-2083	171	19	.	.	X
cana-2083	171	20	distributions	distribution	NOUN
cana-2083	171	21	of	of	ADP
cana-2083	171	22	ghq	ghq	NOUN
cana-2083	171	23	total	total	NOUN
cana-2083	171	24	and	and	CCONJ
cana-2083	171	25	difficulty	difficulty	NOUN
cana-2083	171	26	score	score	NOUN
cana-2083	171	27	were	be	AUX
cana-2083	171	28	selected	select	VERB
cana-2083	171	29	on	on	ADP
cana-2083	171	30	the	the	DET
cana-2083	171	31	basis	basis	NOUN
cana-2083	171	32	of	of	ADP
cana-2083	171	33	minimum	minimum	NOUN
cana-2083	171	34	aic	aic	PROPN
cana-2083	171	35	and	and	CCONJ
cana-2083	171	36	bic	bic	PROPN
cana-2083	171	37	value	value	NOUN
cana-2083	171	38	.	.	PUNCT
cana-2083	172	1	2	2	NUM
cana-2083	172	2	.	.	SYM
cana-2083	172	3	10000	10000	NUM
cana-2083	172	4	values	value	NOUN
cana-2083	172	5	of	of	ADP
cana-2083	172	6	ghq	ghq	ADJ
cana-2083	172	7	total	total	NOUN
cana-2083	172	8	were	be	AUX
cana-2083	172	9	generated	generate	VERB
cana-2083	172	10	using	use	VERB
cana-2083	172	11	the	the	DET
cana-2083	172	12	selected	select	VERB
cana-2083	172	13	weibull	weibull	NOUN
cana-2083	172	14	(	(	PUNCT
cana-2083	172	15	2.2660,19.0613	2.2660,19.0613	NUM
cana-2083	172	16	)	)	PUNCT
cana-2083	172	17	distribution	distribution	NOUN
cana-2083	172	18	.	.	PUNCT
cana-2083	173	1	3	3	X
cana-2083	173	2	.	.	X
cana-2083	173	3	10000	10000	NUM
cana-2083	173	4	values	value	NOUN
cana-2083	173	5	of	of	ADP
cana-2083	173	6	difficulty	difficulty	NOUN
cana-2083	173	7	score	score	NOUN
cana-2083	173	8	were	be	AUX
cana-2083	173	9	generated	generate	VERB
cana-2083	173	10	using	use	VERB
cana-2083	173	11	the	the	DET
cana-2083	173	12	selected	select	VERB
cana-2083	173	13	weibull	weibull	NOUN
cana-2083	173	14	(	(	PUNCT
cana-2083	173	15	2.7903	2.7903	NUM
cana-2083	173	16	,	,	PUNCT
cana-2083	173	17	16.9856	16.9856	NUM
cana-2083	173	18	)	)	PUNCT
cana-2083	173	19	distribution	distribution	NOUN
cana-2083	173	20	.	.	PUNCT
cana-2083	174	1	4	4	X
cana-2083	174	2	.	.	X
cana-2083	174	3	we	we	PRON
cana-2083	174	4	applied	apply	VERB
cana-2083	174	5	the	the	DET
cana-2083	174	6	same	same	ADJ
cana-2083	174	7	power	power	NOUN
cana-2083	174	8	transformation	transformation	NOUN
cana-2083	174	9	as	as	SCONJ
cana-2083	174	10	were	be	AUX
cana-2083	174	11	applied	apply	VERB
cana-2083	174	12	on	on	ADP
cana-2083	174	13	the	the	DET
cana-2083	174	14	real	real	ADJ
cana-2083	174	15	data	datum	NOUN
cana-2083	174	16	to	to	PART
cana-2083	174	17	obtain	obtain	VERB
cana-2083	174	18	the	the	DET
cana-2083	174	19	simulated	simulate	VERB
cana-2083	174	20	transformed	transform	VERB
cana-2083	174	21	normal	normal	ADJ
cana-2083	174	22	variables	variable	NOUN
cana-2083	174	23	(	(	PUNCT
cana-2083	174	24	sim	sim	ADJ
cana-2083	174	25	ghq	ghq	VERB
cana-2083	174	26	total	total	ADJ
cana-2083	174	27	and	and	CCONJ
cana-2083	174	28	sim	sim	ADJ
cana-2083	174	29	diff	diff	NOUN
cana-2083	174	30	score	score	NOUN
cana-2083	174	31	)	)	PUNCT
cana-2083	174	32	.	.	PUNCT
cana-2083	175	1	5	5	X
cana-2083	175	2	.	.	X
cana-2083	175	3	the	the	DET
cana-2083	175	4	parameters	parameter	NOUN
cana-2083	175	5	of	of	ADP
cana-2083	175	6	the	the	DET
cana-2083	175	7	transformed	transform	VERB
cana-2083	175	8	variables	variable	NOUN
cana-2083	175	9	along	along	ADP
cana-2083	175	10	with	with	ADP
cana-2083	175	11	their	their	PRON
cana-2083	175	12	correlation	correlation	NOUN
cana-2083	175	13	coefficient	coefficient	NOUN
cana-2083	175	14	were	be	AUX
cana-2083	175	15	used	use	VERB
cana-2083	175	16	to	to	PART
cana-2083	175	17	generate	generate	VERB
cana-2083	175	18	the	the	DET
cana-2083	175	19	bivariate	bivariate	ADJ
cana-2083	175	20	normal	normal	ADJ
cana-2083	175	21	population	population	NOUN
cana-2083	175	22	of	of	ADP
cana-2083	175	23	size	size	NOUN
cana-2083	175	24	10,000	10,000	NUM
cana-2083	175	25	.	.	PUNCT
cana-2083	176	1	6	6	NUM
cana-2083	176	2	.	.	PUNCT
cana-2083	177	1	the	the	DET
cana-2083	177	2	values	value	NOUN
cana-2083	177	3	were	be	AUX
cana-2083	177	4	put	put	VERB
cana-2083	177	5	in	in	ADP
cana-2083	177	6	equation	equation	NOUN
cana-2083	177	7	(	(	PUNCT
cana-2083	177	8	6	6	NUM
cana-2083	177	9	)	)	PUNCT
cana-2083	177	10	.	.	PUNCT
cana-2083	178	1	3.5.2	3.5.2	NUM
cana-2083	178	2	comparison	comparison	NOUN
cana-2083	178	3	of	of	ADP
cana-2083	178	4	data	datum	NOUN
cana-2083	178	5	based	base	VERB
cana-2083	178	6	mean	mean	PROPN
cana-2083	178	7	difficulty	difficulty	NOUN
cana-2083	178	8	score	score	VERB
cana-2083	178	9	with	with	ADP
cana-2083	178	10	estimated	estimate	VERB
cana-2083	178	11	difficulty	difficulty	NOUN
cana-2083	178	12	score	score	NOUN
cana-2083	178	13	as	as	SCONJ
cana-2083	178	14	obtained	obtain	VERB
cana-2083	178	15	through	through	ADP
cana-2083	178	16	the	the	DET
cana-2083	178	17	bvn	bvn	PROPN
cana-2083	178	18	model	model	NOUN
cana-2083	178	19	the	the	DET
cana-2083	178	20	following	follow	VERB
cana-2083	178	21	procedure	procedure	NOUN
cana-2083	178	22	is	be	AUX
cana-2083	178	23	adopted	adopt	VERB
cana-2083	178	24	to	to	PART
cana-2083	178	25	obtain	obtain	VERB
cana-2083	178	26	the	the	DET
cana-2083	178	27	mean	mean	ADJ
cana-2083	178	28	difficulty	difficulty	NOUN
cana-2083	178	29	score	score	NOUN
cana-2083	178	30	for	for	ADP
cana-2083	178	31	various	various	ADJ
cana-2083	178	32	categories	category	NOUN
cana-2083	178	33	of	of	ADP
cana-2083	178	34	ghq	ghq	ADJ
cana-2083	178	35	total	total	NOUN
cana-2083	178	36	:	:	PUNCT
cana-2083	179	1	1	1	X
cana-2083	179	2	.	.	PUNCT
cana-2083	179	3	the	the	DET
cana-2083	179	4	intervals	interval	NOUN
cana-2083	179	5	of	of	ADP
cana-2083	179	6	*	*	PUNCT
cana-2083	179	7	ghq	ghq	NOUN
cana-2083	179	8	total	total	NOUN
cana-2083	179	9	(	(	PUNCT
cana-2083	179	10	after	after	ADP
cana-2083	179	11	transformation	transformation	NOUN
cana-2083	179	12	)	)	PUNCT
cana-2083	179	13	range	range	NOUN
cana-2083	179	14	is	be	AUX
cana-2083	179	15	defined	define	VERB
cana-2083	179	16	as	as	ADP
cana-2083	179	17	1	1	NUM
cana-2083	179	18	<	<	X
cana-2083	179	19	ghq	ghq	NOUN
cana-2083	179	20	≥	≥	NOUN
cana-2083	179	21	2	2	NUM
cana-2083	179	22	,	,	PUNCT
cana-2083	179	23	2	2	NUM
cana-2083	179	24	<	<	X
cana-2083	179	25	ghq	ghq	NOUN
cana-2083	179	26	≥	≥	NOUN
cana-2083	179	27	3	3	NUM
cana-2083	179	28	,	,	PUNCT
cana-2083	179	29	3	3	NUM
cana-2083	179	30	<	<	X
cana-2083	179	31	ghq	ghq	NOUN
cana-2083	179	32	≥	≥	NOUN
cana-2083	179	33	4	4	NUM
cana-2083	179	34	,	,	PUNCT
cana-2083	179	35	4	4	NUM
cana-2083	179	36	<	<	X
cana-2083	179	37	ghq	ghq	NOUN
cana-2083	179	38	≥	≥	NOUN
cana-2083	179	39	5	5	NUM
cana-2083	179	40	,	,	PUNCT
cana-2083	179	41	and	and	CCONJ
cana-2083	179	42	5	5	NUM
cana-2083	179	43	<	<	X
cana-2083	179	44	ghq	ghq	NOUN
cana-2083	179	45	≥	≥	NOUN
cana-2083	179	46	6	6	NUM
cana-2083	179	47	;	;	PUNCT
cana-2083	179	48	identified	identify	VERB
cana-2083	179	49	as	as	ADP
cana-2083	179	50	ghqi	ghqi	ADJ
cana-2083	179	51	;	;	PUNCT
cana-2083	179	52	i	i	PROPN
cana-2083	179	53	=	=	NOUN
cana-2083	179	54	1,2,3,4,5	1,2,3,4,5	NUM
cana-2083	179	55	respectively	respectively	ADV
cana-2083	179	56	.	.	PUNCT
cana-2083	180	1	2	2	X
cana-2083	180	2	.	.	X
cana-2083	180	3	take	take	VERB
cana-2083	180	4	the	the	DET
cana-2083	180	5	first	first	ADJ
cana-2083	180	6	range	range	NOUN
cana-2083	180	7	of	of	ADP
cana-2083	180	8	ghq	ghq	NOUN
cana-2083	180	9	.	.	PUNCT
cana-2083	181	1	corresponding	correspond	VERB
cana-2083	181	2	to	to	ADP
cana-2083	181	3	this	this	DET
cana-2083	181	4	range	range	NOUN
cana-2083	181	5	,	,	PUNCT
cana-2083	181	6	compute	compute	VERB
cana-2083	181	7	the	the	DET
cana-2083	181	8	mean	mean	NOUN
cana-2083	181	9	ghq	ghq	NOUN
cana-2083	181	10	from	from	ADP
cana-2083	181	11	dataset_1	dataset_1	PROPN
cana-2083	181	12	.	.	PUNCT
cana-2083	182	1	fixing	fix	VERB
cana-2083	182	2	this	this	DET
cana-2083	182	3	range	range	NOUN
cana-2083	182	4	of	of	ADP
cana-2083	182	5	ghq	ghq	NOUN
cana-2083	182	6	,	,	PUNCT
cana-2083	182	7	compute	compute	VERB
cana-2083	182	8	the	the	DET
cana-2083	182	9	mean	mean	ADJ
cana-2083	182	10	difficulty	difficulty	NOUN
cana-2083	182	11	score	score	NOUN
cana-2083	182	12	i.e.	i.e.	ADV
cana-2083	182	13	,	,	PUNCT
cana-2083	182	14	by	by	ADP
cana-2083	182	15	taking	take	VERB
cana-2083	182	16	only	only	ADV
cana-2083	182	17	those	those	DET
cana-2083	182	18	difficulty	difficulty	NOUN
cana-2083	182	19	scores	score	NOUN
cana-2083	182	20	,	,	PUNCT
cana-2083	182	21	corresponding	correspond	VERB
cana-2083	182	22	to	to	ADP
cana-2083	182	23	which	which	PRON
cana-2083	182	24	ghq	ghq	VERB
cana-2083	182	25	lies	lie	VERB
cana-2083	182	26	in	in	ADP
cana-2083	182	27	this	this	DET
cana-2083	182	28	range	range	NOUN
cana-2083	182	29	.	.	PUNCT
cana-2083	183	1	3	3	X
cana-2083	183	2	.	.	X
cana-2083	183	3	repeat	repeat	NOUN
cana-2083	183	4	(	(	PUNCT
cana-2083	183	5	2	2	NUM
cana-2083	183	6	.	.	PUNCT
cana-2083	183	7	)	)	PUNCT
cana-2083	183	8	for	for	ADP
cana-2083	183	9	all	all	DET
cana-2083	183	10	the	the	DET
cana-2083	183	11	ranges	range	NOUN
cana-2083	183	12	of	of	ADP
cana-2083	183	13	ghq	ghq	NOUN
cana-2083	183	14	,	,	PUNCT
cana-2083	183	15	thus	thus	ADV
cana-2083	183	16	yielding	yield	VERB
cana-2083	183	17	all	all	DET
cana-2083	183	18	the	the	DET
cana-2083	183	19	mean	mean	ADJ
cana-2083	183	20	ghq	ghq	NOUN
cana-2083	183	21	totals	total	NOUN
cana-2083	183	22	and	and	CCONJ
cana-2083	183	23	the	the	DET
cana-2083	183	24	corresponding	corresponding	ADJ
cana-2083	183	25	mean	mean	ADJ
cana-2083	183	26	difficulty	difficulty	NOUN
cana-2083	183	27	scores	score	NOUN
cana-2083	183	28	.	.	PUNCT
cana-2083	184	1	4	4	X
cana-2083	184	2	.	.	X
cana-2083	184	3	the	the	DET
cana-2083	184	4	same	same	ADJ
cana-2083	184	5	procedure	procedure	NOUN
cana-2083	184	6	(	(	PUNCT
cana-2083	184	7	for	for	ADP
cana-2083	184	8	the	the	DET
cana-2083	184	9	same	same	ADJ
cana-2083	184	10	ghq	ghq	NOUN
cana-2083	184	11	total	total	ADJ
cana-2083	184	12	ranges	range	NOUN
cana-2083	184	13	)	)	PUNCT
cana-2083	184	14	is	be	AUX
cana-2083	184	15	applied	apply	VERB
cana-2083	184	16	for	for	ADP
cana-2083	184	17	the	the	DET
cana-2083	184	18	simulated	simulate	VERB
cana-2083	184	19	data	datum	NOUN
cana-2083	184	20	.	.	PUNCT
cana-2083	185	1	communications	communication	NOUN
cana-2083	185	2	on	on	ADP
cana-2083	185	3	applied	apply	VERB
cana-2083	185	4	nonlinear	nonlinear	ADJ
cana-2083	185	5	analysis	analysis	NOUN
cana-2083	185	6	issn	issn	NOUN
cana-2083	185	7	:	:	PUNCT
cana-2083	185	8	1074	1074	NUM
cana-2083	185	9	-	-	PUNCT
cana-2083	185	10	133x	133x	NUM
cana-2083	185	11	vol	vol	NOUN
cana-2083	185	12	32	32	NUM
cana-2083	185	13	no	no	NOUN
cana-2083	185	14	.	.	PUNCT
cana-2083	186	1	1s	1s	NUM
cana-2083	186	2	(	(	PUNCT
cana-2083	186	3	2025	2025	NUM
cana-2083	186	4	)	)	PUNCT
cana-2083	186	5	10	10	NUM
cana-2083	186	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2083	186	7	5	5	NUM
cana-2083	186	8	.	.	PUNCT
cana-2083	187	1	next	next	ADV
cana-2083	187	2	,	,	PUNCT
cana-2083	187	3	taking	take	VERB
cana-2083	187	4	ghq	ghq	NOUN
cana-2083	187	5	total	total	NOUN
cana-2083	187	6	from	from	ADP
cana-2083	187	7	the	the	DET
cana-2083	187	8	sample	sample	NOUN
cana-2083	187	9	data	datum	NOUN
cana-2083	187	10	,	,	PUNCT
cana-2083	187	11	the	the	DET
cana-2083	187	12	conditional	conditional	ADJ
cana-2083	187	13	expectation	expectation	NOUN
cana-2083	187	14	of	of	ADP
cana-2083	187	15	difficulty	difficulty	NOUN
cana-2083	187	16	score	score	VERB
cana-2083	187	17	for	for	ADP
cana-2083	187	18	each	each	DET
cana-2083	187	19	ghq	ghq	NOUN
cana-2083	187	20	category	category	NOUN
cana-2083	187	21	(	(	PUNCT
cana-2083	187	22	ghqi	ghqi	NOUN
cana-2083	187	23	,	,	PUNCT
cana-2083	187	24	i	i	PRON
cana-2083	187	25	=	=	NOUN
cana-2083	187	26	1,2,3,4,5	1,2,3,4,5	NUM
cana-2083	187	27	)	)	PUNCT
cana-2083	187	28	has	have	AUX
cana-2083	187	29	been	be	AUX
cana-2083	187	30	computed	compute	VERB
cana-2083	187	31	using	use	VERB
cana-2083	187	32	equation	equation	NOUN
cana-2083	187	33	(	(	PUNCT
cana-2083	187	34	7	7	NUM
cana-2083	187	35	)	)	PUNCT
cana-2083	187	36	where	where	SCONJ
cana-2083	187	37	all	all	DET
cana-2083	187	38	the	the	DET
cana-2083	187	39	other	other	ADJ
cana-2083	187	40	parameters	parameter	NOUN
cana-2083	187	41	are	be	AUX
cana-2083	187	42	population	population	NOUN
cana-2083	187	43	based	base	VERB
cana-2083	187	44	(	(	PUNCT
cana-2083	187	45	simulated	simulate	VERB
cana-2083	187	46	data	datum	NOUN
cana-2083	187	47	)	)	PUNCT
cana-2083	187	48	(	(	PUNCT
cana-2083	187	49	)	)	PUNCT
cana-2083	187	50	,	,	PUNCT
cana-2083	187	51	,	,	PUNCT
cana-2083	187	52	.	.	PUNCT
cana-2083	187	53	.	.	PUNCT
cana-2083	188	1	,	,	PUNCT
cana-2083	188	2	.	.	PUNCT
cana-2083	189	1	,	,	PUNCT
cana-2083	189	2	.	.	PUNCT
cana-2083	190	1	1	1	NUM
cana-2083	190	2	(	(	PUNCT
cana-2083	190	3	.	.	PUNCT
cana-2083	191	1	|	|	ADV
cana-2083	191	2	)	)	PUNCT
cana-2083	191	3	ii	ii	PROPN
cana-2083	192	1	i	i	PRON
cana-2083	192	2	diff	diff	VERB
cana-2083	192	3	i	i	PRON
cana-2083	192	4	ghq	ghq	VERB
cana-2083	192	5	diff	diff	NOUN
cana-2083	193	1	i	i	PRON
cana-2083	193	2	ghq	ghq	VERB
cana-2083	193	3	i	i	PRON
cana-2083	193	4	diff	diff	AUX
cana-2083	193	5	diff	diff	PROPN
cana-2083	193	6	ghq	ghq	VERB
cana-2083	193	7	ghq	ghq	NOUN
cana-2083	193	8			PROPN
cana-2083	193	9			NOUN
cana-2083	193	10			NOUN
cana-2083	193	11			ADJ
cana-2083	193	12	=	=	PUNCT
cana-2083	194	1	−	−	PROPN
cana-2083	195	1	−	−	PROPN
cana-2083	196	1	(	(	PUNCT
cana-2083	196	2	7	7	NUM
cana-2083	196	3	)	)	PUNCT
cana-2083	196	4	6	6	NUM
cana-2083	196	5	.	.	PUNCT
cana-2083	197	1	the	the	DET
cana-2083	197	2	observed	observed	ADJ
cana-2083	197	3	mean	mean	ADJ
cana-2083	197	4	values	value	NOUN
cana-2083	197	5	of	of	ADP
cana-2083	197	6	diff	diff	NOUN
cana-2083	197	7	score	score	NOUN
cana-2083	197	8	corresponding	correspond	VERB
cana-2083	197	9	to	to	ADP
cana-2083	197	10	each	each	DET
cana-2083	197	11	range	range	NOUN
cana-2083	197	12	of	of	ADP
cana-2083	197	13	ghq	ghq	NOUN
cana-2083	197	14	total	total	NOUN
cana-2083	197	15	,	,	PUNCT
cana-2083	197	16	is	be	AUX
cana-2083	197	17	compared	compare	VERB
cana-2083	197	18	with	with	ADP
cana-2083	197	19	the	the	DET
cana-2083	197	20	estimated	estimate	VERB
cana-2083	197	21	values	value	NOUN
cana-2083	197	22	obtained	obtain	VERB
cana-2083	197	23	through	through	ADP
cana-2083	197	24	equation	equation	NOUN
cana-2083	197	25	(	(	PUNCT
cana-2083	197	26	7	7	NUM
cana-2083	197	27	)	)	PUNCT
cana-2083	197	28	.	.	PUNCT
cana-2083	198	1	7	7	X
cana-2083	198	2	.	.	X
cana-2083	198	3	step	step	NOUN
cana-2083	198	4	(	(	PUNCT
cana-2083	198	5	6	6	NUM
cana-2083	198	6	)	)	PUNCT
cana-2083	198	7	is	be	AUX
cana-2083	198	8	used	use	VERB
cana-2083	198	9	again	again	ADV
cana-2083	198	10	after	after	ADP
cana-2083	198	11	retransforming	retransforme	VERB
cana-2083	198	12	the	the	DET
cana-2083	198	13	transformed	transform	VERB
cana-2083	198	14	variables	variable	NOUN
cana-2083	198	15	to	to	ADP
cana-2083	198	16	the	the	DET
cana-2083	198	17	original	original	ADJ
cana-2083	198	18	variables	variable	NOUN
cana-2083	198	19	.	.	PUNCT
cana-2083	199	1	the	the	DET
cana-2083	199	2	results	result	NOUN
cana-2083	199	3	are	be	AUX
cana-2083	199	4	presented	present	VERB
cana-2083	199	5	in	in	ADP
cana-2083	199	6	table	table	NOUN
cana-2083	199	7	5	5	NUM
cana-2083	199	8	below	below	ADV
cana-2083	199	9	:	:	PUNCT
cana-2083	199	10	table	table	NOUN
cana-2083	199	11	5	5	NUM
cana-2083	199	12	estimated	estimate	VERB
cana-2083	199	13	mean	mean	NOUN
cana-2083	199	14	*	*	PUNCT
cana-2083	199	15	diff	diff	NOUN
cana-2083	199	16	score	score	NOUN
cana-2083	199	17	given	give	VERB
cana-2083	199	18	*	*	PUNCT
cana-2083	199	19	ghq	ghq	NOUN
cana-2083	199	20	total	total	NOUN
cana-2083	199	21	for	for	ADP
cana-2083	199	22	934	934	NUM
cana-2083	199	23	respondents	respondent	NOUN
cana-2083	199	24	for	for	ADP
cana-2083	199	25	different	different	ADJ
cana-2083	199	26	interval	interval	NOUN
cana-2083	199	27	of	of	ADP
cana-2083	199	28	*	*	PUNCT
cana-2083	199	29	ghq	ghq	NOUN
cana-2083	199	30	total	total	NOUN
cana-2083	199	31	using	use	VERB
cana-2083	199	32	a	a	DET
cana-2083	199	33	generated	generate	VERB
cana-2083	199	34	random	random	ADJ
cana-2083	199	35	sample	sample	NOUN
cana-2083	199	36	of	of	ADP
cana-2083	199	37	size	size	NOUN
cana-2083	199	38	10000	10000	NUM
cana-2083	199	39	for	for	ADP
cana-2083	199	40	bvn	bvn	NOUN
cana-2083	199	41	distribution	distribution	NOUN
cana-2083	199	42	interval	interval	NOUN
cana-2083	199	43	real	real	ADJ
cana-2083	199	44	data	datum	NOUN
cana-2083	199	45	simulated	simulate	VERB
cana-2083	199	46	data	datum	NOUN
cana-2083	199	47	e[*diff	e[*diff	PROPN
cana-2083	199	48	.	.	PUNCT
cana-2083	200	1	|	|	ADV
cana-2083	200	2	*	*	PUNCT
cana-2083	200	3	ghq	ghq	NOUN
cana-2083	200	4	]	]	X
cana-2083	200	5	observed	observed	ADJ
cana-2083	200	6	difficulty	difficulty	NOUN
cana-2083	200	7	score	score	VERB
cana-2083	200	8	estimated	estimate	VERB
cana-2083	200	9	difficulty	difficulty	NOUN
cana-2083	200	10	score	score	NOUN
cana-2083	200	11	mean	mean	VERB
cana-2083	200	12	*	*	PUNCT
cana-2083	200	13	ghq	ghq	NOUN
cana-2083	200	14	mean	mean	NOUN
cana-2083	200	15	*	*	NOUN
cana-2083	200	16	diff	diff	NOUN
cana-2083	200	17	.	.	PUNCT
cana-2083	201	1	mean	mean	VERB
cana-2083	201	2	*	*	PUNCT
cana-2083	201	3	ghq	ghq	NOUN
cana-2083	201	4	mean	mean	NOUN
cana-2083	201	5	*	*	PUNCT
cana-2083	201	6	diff	diff	NOUN
cana-2083	201	7	1	1	NUM
cana-2083	201	8	<	<	NOUN
cana-2083	201	9	ghq≥2	ghq≥2	NOUN
cana-2083	201	10	1.8279	1.8279	NUM
cana-2083	201	11	1.3930	1.3930	NUM
cana-2083	201	12	1.6794	1.6794	NUM
cana-2083	201	13	1.4580	1.4580	NUM
cana-2083	201	14	1.3313	1.3313	NUM
cana-2083	201	15	3.7653	3.7653	NUM
cana-2083	201	16	3.1413	3.1413	NUM
cana-2083	201	17	2	2	NUM
cana-2083	201	18	<	<	X
cana-2083	201	19	ghq≥3	ghq≥3	NOUN
cana-2083	201	20	2.6513	2.6513	NUM
cana-2083	201	21	1.6924	1.6924	NUM
cana-2083	201	22	2.6159	2.6159	NUM
cana-2083	201	23	1.6552	1.6552	NUM
cana-2083	201	24	1.6329	1.6329	NUM
cana-2083	201	25	8.2037	8.2037	NUM
cana-2083	201	26	7.1095	7.1095	NUM
cana-2083	201	27	3	3	NUM
cana-2083	201	28	<	<	NOUN
cana-2083	201	29	ghq≥4	ghq≥4	NOUN
cana-2083	201	30	3.6000	3.6000	NUM
cana-2083	201	31	1.8959	1.8959	NUM
cana-2083	201	32	3.5307	3.5307	NUM
cana-2083	201	33	1.8467	1.8467	NUM
cana-2083	201	34	1.8506	1.8506	NUM
cana-2083	201	35	13.0208	13.0208	NUM
cana-2083	201	36	11.2787	11.2787	NUM
cana-2083	201	37	4	4	NUM
cana-2083	201	38	<	<	X
cana-2083	201	39	ghq≥5	ghq≥5	PROPN
cana-2083	201	40	4.5768	4.5768	NUM
cana-2083	201	41	2.0663	2.0663	NUM
cana-2083	201	42	4.4482	4.4482	NUM
cana-2083	201	43	2.0363	2.0363	NUM
cana-2083	201	44	2.0076	2.0076	NUM
cana-2083	201	45	18.2308	18.2308	NUM
cana-2083	201	46	16.2446	16.2446	NUM
cana-2083	201	47	5	5	NUM
cana-2083	201	48	<	<	X
cana-2083	201	49	ghq≥6	ghq≥6	ADP
cana-2083	201	50	5.4316	5.4316	NUM
cana-2083	201	51	2.2708	2.2708	NUM
cana-2083	201	52	5.3821	5.3821	NUM
cana-2083	201	53	2.3097	2.3097	NUM
cana-2083	201	54	2.2431	2.2431	NUM
cana-2083	201	55	26.5898	26.5898	NUM
cana-2083	201	56	25.3159	25.3159	NUM
cana-2083	201	57	the	the	DET
cana-2083	201	58	observed	observed	ADJ
cana-2083	201	59	and	and	CCONJ
cana-2083	201	60	estimated	estimated	ADJ
cana-2083	201	61	difficulty	difficulty	NOUN
cana-2083	201	62	scores	score	NOUN
cana-2083	201	63	are	be	AUX
cana-2083	201	64	compared	compare	VERB
cana-2083	201	65	in	in	ADP
cana-2083	201	66	fig	fig	NOUN
cana-2083	201	67	.	.	PUNCT
cana-2083	202	1	4	4	NUM
cana-2083	202	2	below	below	ADV
cana-2083	202	3	:	:	PUNCT
cana-2083	202	4	fig	fig	NOUN
cana-2083	202	5	.	.	PUNCT
cana-2083	203	1	4	4	NUM
cana-2083	203	2	comparison	comparison	NOUN
cana-2083	203	3	of	of	ADP
cana-2083	203	4	observed	observed	ADJ
cana-2083	203	5	and	and	CCONJ
cana-2083	203	6	estimated	estimated	ADJ
cana-2083	203	7	difficulty	difficulty	NOUN
cana-2083	203	8	score	score	VERB
cana-2083	203	9	for	for	ADP
cana-2083	203	10	dataset_1	dataset_1	ADV
cana-2083	203	11	3.5.3	3.5.3	NUM
cana-2083	203	12	comparison	comparison	NOUN
cana-2083	203	13	of	of	ADP
cana-2083	203	14	data	datum	NOUN
cana-2083	203	15	based	base	VERB
cana-2083	203	16	mean	mean	NOUN
cana-2083	203	17	ghq	ghq	VERB
cana-2083	203	18	total	total	NOUN
cana-2083	203	19	with	with	ADP
cana-2083	203	20	estimated	estimate	VERB
cana-2083	203	21	mean	mean	NOUN
cana-2083	203	22	ghq	ghq	NOUN
cana-2083	203	23	total	total	NOUN
cana-2083	203	24	as	as	SCONJ
cana-2083	203	25	obtained	obtain	VERB
cana-2083	203	26	through	through	ADP
cana-2083	203	27	the	the	DET
cana-2083	203	28	bvn	bvn	PROPN
cana-2083	203	29	model	model	NOUN
cana-2083	203	30	categorizing	categorize	VERB
cana-2083	203	31	the	the	DET
cana-2083	203	32	*	*	PUNCT
cana-2083	203	33	diff	diff	NOUN
cana-2083	203	34	score	score	NOUN
cana-2083	203	35	(	(	PUNCT
cana-2083	203	36	after	after	ADP
cana-2083	203	37	transformation	transformation	NOUN
cana-2083	203	38	)	)	PUNCT
cana-2083	203	39	range	range	NOUN
cana-2083	203	40	as	as	ADP
cana-2083	203	41	1	1	NUM
cana-2083	203	42	<	<	X
cana-2083	203	43	diff	diff	NOUN
cana-2083	203	44	≥	≥	NUM
cana-2083	203	45	1.25	1.25	NUM
cana-2083	203	46	,	,	PUNCT
cana-2083	203	47	1.25	1.25	NUM
cana-2083	203	48	<	<	X
cana-2083	203	49	diff	diff	PROPN
cana-2083	203	50	≥	≥	NUM
cana-2083	203	51	1.5	1.5	NUM
cana-2083	203	52	,	,	PUNCT
cana-2083	203	53	1.5	1.5	NUM
cana-2083	203	54	<	<	X
cana-2083	203	55	diff	diff	PROPN
cana-2083	203	56	≥	≥	NUM
cana-2083	203	57	1.75	1.75	NUM
cana-2083	203	58	,	,	PUNCT
cana-2083	203	59	1.75	1.75	NUM
cana-2083	203	60	<	<	X
cana-2083	203	61	diff	diff	PROPN
cana-2083	203	62	≥2	≥2	PROPN
cana-2083	203	63	,	,	PUNCT
cana-2083	203	64	2	2	NUM
cana-2083	203	65	<	<	X
cana-2083	203	66	diff	diff	NOUN
cana-2083	203	67	≥	≥	NUM
cana-2083	203	68	2.25	2.25	NUM
cana-2083	203	69	,	,	PUNCT
cana-2083	203	70	and	and	CCONJ
cana-2083	203	71	2.25	2.25	NUM
cana-2083	203	72	<	<	X
cana-2083	203	73	diff	diff	PROPN
cana-2083	203	74	≥	≥	NUM
cana-2083	203	75	2.5	2.5	NUM
cana-2083	203	76	,	,	PUNCT
cana-2083	203	77	identified	identify	VERB
cana-2083	203	78	as	as	ADP
cana-2083	203	79	diffi	diffi	NOUN
cana-2083	203	80	:	:	PUNCT
cana-2083	203	81	i	i	NOUN
cana-2083	203	82	=	=	NOUN
cana-2083	203	83	1,2,3,4,5,6	1,2,3,4,5,6	NUM
cana-2083	203	84	,	,	PUNCT
cana-2083	203	85	the	the	DET
cana-2083	203	86	steps	step	NOUN
cana-2083	203	87	(	(	PUNCT
cana-2083	203	88	2)-(6	2)-(6	NUM
cana-2083	203	89	)	)	PUNCT
cana-2083	203	90	in	in	ADP
cana-2083	203	91	3.5.2	3.5.2	NUM
cana-2083	203	92	are	be	AUX
cana-2083	203	93	repeated	repeat	VERB
cana-2083	203	94	to	to	PART
cana-2083	203	95	obtain	obtain	VERB
cana-2083	203	96	the	the	DET
cana-2083	203	97	corresponding	correspond	VERB
cana-2083	203	98	ghq	ghq	NOUN
cana-2083	203	99	scores	score	NOUN
cana-2083	203	100	for	for	ADP
cana-2083	203	101	the	the	DET
cana-2083	203	102	real	real	ADJ
cana-2083	203	103	and	and	CCONJ
cana-2083	203	104	simulated	simulated	ADJ
cana-2083	203	105	communications	communication	NOUN
cana-2083	203	106	on	on	ADP
cana-2083	203	107	applied	apply	VERB
cana-2083	203	108	nonlinear	nonlinear	ADJ
cana-2083	203	109	analysis	analysis	NOUN
cana-2083	203	110	issn	issn	NOUN
cana-2083	203	111	:	:	PUNCT
cana-2083	203	112	1074	1074	NUM
cana-2083	203	113	-	-	PUNCT
cana-2083	203	114	133x	133x	NUM
cana-2083	203	115	vol	vol	NOUN
cana-2083	203	116	32	32	NUM
cana-2083	203	117	no	no	NOUN
cana-2083	203	118	.	.	PUNCT
cana-2083	204	1	1s	1s	NUM
cana-2083	204	2	(	(	PUNCT
cana-2083	204	3	2025	2025	NUM
cana-2083	204	4	)	)	PUNCT
cana-2083	204	5	11	11	NUM
cana-2083	204	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2083	204	7	data	datum	NOUN
cana-2083	204	8	.	.	PUNCT
cana-2083	205	1	for	for	ADP
cana-2083	205	2	estimated	estimate	VERB
cana-2083	205	3	values	value	NOUN
cana-2083	205	4	for	for	ADP
cana-2083	205	5	the	the	DET
cana-2083	205	6	respective	respective	ADJ
cana-2083	205	7	ranges	range	NOUN
cana-2083	205	8	,	,	PUNCT
cana-2083	205	9	equation	equation	NOUN
cana-2083	205	10	(	(	PUNCT
cana-2083	205	11	8)	8)	NUM
cana-2083	205	12	has	have	AUX
cana-2083	205	13	been	be	AUX
cana-2083	205	14	used	use	VERB
cana-2083	205	15	where	where	SCONJ
cana-2083	205	16	except	except	SCONJ
cana-2083	205	17	for	for	ADP
cana-2083	205	18	diffi	diffi	NOUN
cana-2083	205	19	,	,	PUNCT
cana-2083	205	20	which	which	PRON
cana-2083	205	21	is	be	AUX
cana-2083	205	22	based	base	VERB
cana-2083	205	23	on	on	ADP
cana-2083	205	24	the	the	DET
cana-2083	205	25	real	real	ADJ
cana-2083	205	26	data	datum	NOUN
cana-2083	205	27	,	,	PUNCT
cana-2083	205	28	rest	rest	NOUN
cana-2083	205	29	all	all	PRON
cana-2083	205	30	have	have	AUX
cana-2083	205	31	been	be	AUX
cana-2083	205	32	taken	take	VERB
cana-2083	205	33	from	from	ADP
cana-2083	205	34	the	the	DET
cana-2083	205	35	population	population	NOUN
cana-2083	205	36	(	(	PUNCT
cana-2083	205	37	simulated	simulate	VERB
cana-2083	205	38	data	datum	NOUN
cana-2083	205	39	)	)	PUNCT
cana-2083	205	40	:	:	PUNCT
cana-2083	205	41	(	(	PUNCT
cana-2083	205	42	)	)	PUNCT
cana-2083	205	43	,	,	PUNCT
cana-2083	205	44	,	,	PUNCT
cana-2083	205	45	.,ghq	.,ghq	NOUN
cana-2083	205	46	,	,	PUNCT
cana-2083	205	47	.	.	PUNCT
cana-2083	206	1	,	,	PUNCT
cana-2083	206	2	1	1	X
cana-2083	206	3	(	(	PUNCT
cana-2083	206	4	|	|	INTJ
cana-2083	206	5	.)i	.)i	PUNCT
cana-2083	207	1	i	i	PRON
cana-2083	207	2	ghq	ghq	VERB
cana-2083	207	3	i	i	PRON
cana-2083	207	4	diff	diff	VERB
cana-2083	208	1	i	i	PRON
cana-2083	209	1	i	i	PRON
cana-2083	209	2	diff	diff	VERB
cana-2083	210	1	i	i	PRON
cana-2083	210	2	ghq	ghq	VERB
cana-2083	210	3	ghq	ghq	VERB
cana-2083	210	4	diff	diff	NOUN
cana-2083	210	5	diff	diff	PART
cana-2083	210	6			NOUN
cana-2083	210	7			NOUN
cana-2083	210	8			NOUN
cana-2083	210	9			ADJ
cana-2083	210	10	=	=	PUNCT
cana-2083	210	11	−	−	PROPN
cana-2083	211	1	−	−	PROPN
cana-2083	212	1	(	(	PUNCT
cana-2083	212	2	8)	8)	NUM
cana-2083	212	3	the	the	DET
cana-2083	212	4	results	result	NOUN
cana-2083	212	5	are	be	AUX
cana-2083	212	6	presented	present	VERB
cana-2083	212	7	in	in	ADP
cana-2083	212	8	table	table	NOUN
cana-2083	212	9	6	6	NUM
cana-2083	212	10	below	below	ADV
cana-2083	212	11	:	:	PUNCT
cana-2083	212	12	table	table	NOUN
cana-2083	212	13	6	6	NUM
cana-2083	212	14	estimated	estimate	VERB
cana-2083	212	15	mean	mean	NOUN
cana-2083	212	16	*	*	PUNCT
cana-2083	212	17	ghq	ghq	NOUN
cana-2083	212	18	total	total	NOUN
cana-2083	212	19	given	give	VERB
cana-2083	212	20	*	*	PUNCT
cana-2083	212	21	diff	diff	NOUN
cana-2083	212	22	score	score	NOUN
cana-2083	212	23	for	for	ADP
cana-2083	212	24	934	934	NUM
cana-2083	212	25	respondents	respondent	NOUN
cana-2083	212	26	for	for	ADP
cana-2083	212	27	different	different	ADJ
cana-2083	212	28	intervals	interval	NOUN
cana-2083	212	29	of	of	ADP
cana-2083	212	30	*	*	PUNCT
cana-2083	212	31	diff	diff	NOUN
cana-2083	212	32	score	score	NOUN
cana-2083	212	33	using	use	VERB
cana-2083	212	34	a	a	DET
cana-2083	212	35	generated	generate	VERB
cana-2083	212	36	random	random	ADJ
cana-2083	212	37	sample	sample	NOUN
cana-2083	212	38	of	of	ADP
cana-2083	212	39	size	size	NOUN
cana-2083	212	40	10000	10000	NUM
cana-2083	212	41	for	for	ADP
cana-2083	212	42	bvn	bvn	NOUN
cana-2083	212	43	distribution	distribution	NOUN
cana-2083	212	44	interval	interval	NOUN
cana-2083	212	45	real	real	ADJ
cana-2083	212	46	data	datum	NOUN
cana-2083	212	47	simulated	simulate	VERB
cana-2083	212	48	data	datum	NOUN
cana-2083	212	49	e[*ghq	e[*ghq	NUM
cana-2083	212	50	total	total	ADJ
cana-2083	212	51	|*diff	|*diff	ADJ
cana-2083	212	52	score	score	NOUN
cana-2083	212	53	]	]	PUNCT
cana-2083	212	54	observed	observe	VERB
cana-2083	212	55	mean	mean	NOUN
cana-2083	212	56	ghq	ghq	VERB
cana-2083	212	57	total	total	NOUN
cana-2083	212	58	estimated	estimate	VERB
cana-2083	212	59	mean	mean	NOUN
cana-2083	212	60	ghq	ghq	INTJ
cana-2083	213	1	total	total	ADJ
cana-2083	213	2	mean	mean	NOUN
cana-2083	213	3	*	*	PUNCT
cana-2083	213	4	ghq	ghq	NOUN
cana-2083	213	5	mean	mean	NOUN
cana-2083	213	6	*	*	NOUN
cana-2083	213	7	diff	diff	NOUN
cana-2083	213	8	.	.	PUNCT
cana-2083	214	1	mean	mean	PROPN
cana-2083	214	2	*	*	PUNCT
cana-2083	214	3	diff	diff	PROPN
cana-2083	214	4	.	.	PUNCT
cana-2083	215	1	mean	mean	VERB
cana-2083	215	2	*	*	PUNCT
cana-2083	215	3	ghq	ghq	NOUN
cana-2083	215	4	1	1	NUM
cana-2083	215	5	<	<	X
cana-2083	215	6	diff≥1.25	diff≥1.25	PRON
cana-2083	215	7	2.1019	2.1019	NUM
cana-2083	215	8	1.1261	1.1261	NUM
cana-2083	215	9	1.2885	1.2885	NUM
cana-2083	215	10	1.8800	1.8800	NUM
cana-2083	215	11	2.1034	2.1034	NUM
cana-2083	215	12	4.4180	4.4180	NUM
cana-2083	215	13	4.4243	4.4243	NUM
cana-2083	215	14	1.25	1.25	NUM
cana-2083	215	15	<	<	X
cana-2083	215	16	diff	diff	PROPN
cana-2083	215	17	≥150	≥150	NOUN
cana-2083	215	18	2.6678	2.6678	NUM
cana-2083	215	19	1.4284	1.4284	NUM
cana-2083	215	20	1.4276	1.4276	NUM
cana-2083	215	21	2.5538	2.5538	NUM
cana-2083	215	22	2.5538	2.5538	NUM
cana-2083	215	23	7.1171	7.1171	NUM
cana-2083	215	24	6.5219	6.5219	NUM
cana-2083	215	25	1.50	1.50	NUM
cana-2083	215	26	<	<	X
cana-2083	215	27	diff	diff	NOUN
cana-2083	215	28	≥1.75	≥1.75	VERB
cana-2083	215	29	3.2810	3.2810	NUM
cana-2083	215	30	1.6667	1.6667	NUM
cana-2083	215	31	1.6588	1.6588	NUM
cana-2083	215	32	2.6579	2.6579	NUM
cana-2083	215	33	2.9532	2.9532	NUM
cana-2083	215	34	10.7649	10.7649	NUM
cana-2083	215	35	8.7214	8.7214	NUM
cana-2083	215	36	1.75	1.75	NUM
cana-2083	215	37	<	<	X
cana-2083	215	38	diff	diff	NOUN
cana-2083	216	1	≥2	≥2	PROPN
cana-2083	216	2	3.8577	3.8577	NUM
cana-2083	216	3	1.8947	1.8947	NUM
cana-2083	216	4	1.8826	1.8826	NUM
cana-2083	216	5	3.7115	3.7115	NUM
cana-2083	216	6	3.7055	3.7055	NUM
cana-2083	216	7	14.8818	14.8818	NUM
cana-2083	216	8	13.7307	13.7307	NUM
cana-2083	216	9	2	2	NUM
cana-2083	216	10	<	<	X
cana-2083	216	11	diff	diff	NOUN
cana-2083	216	12	≥2.25	≥2.25	PROPN
cana-2083	217	1	4.4266	4.4266	NUM
cana-2083	217	2	2.1122	2.1122	NUM
cana-2083	217	3	2.1038	2.1038	NUM
cana-2083	217	4	4.7563	4.7563	NUM
cana-2083	217	5	4.4027	4.4027	NUM
cana-2083	217	6	19.5947	19.5947	NUM
cana-2083	217	7	19.3838	19.3838	NUM
cana-2083	217	8	2.25	2.25	NUM
cana-2083	217	9	<	<	X
cana-2083	217	10	diff	diff	NOUN
cana-2083	217	11	≥2.50	≥2.50	PROPN
cana-2083	217	12	5.8756	5.8756	NUM
cana-2083	217	13	2.2923	2.2923	NUM
cana-2083	217	14	2.3317	2.3317	NUM
cana-2083	217	15	5.8411	5.8411	NUM
cana-2083	217	16	5.8568	5.8568	NUM
cana-2083	217	17	34.5227	34.5227	NUM
cana-2083	217	18	34.3021	34.3021	NUM
cana-2083	217	19	the	the	DET
cana-2083	217	20	observed	observe	VERB
cana-2083	217	21	and	and	CCONJ
cana-2083	217	22	estimated	estimate	VERB
cana-2083	217	23	ghq	ghq	PROPN
cana-2083	217	24	total	total	ADJ
cana-2083	217	25	scores	score	NOUN
cana-2083	217	26	are	be	AUX
cana-2083	217	27	compared	compare	VERB
cana-2083	217	28	in	in	ADP
cana-2083	217	29	fig	fig	NOUN
cana-2083	217	30	.	.	PUNCT
cana-2083	218	1	5	5	NUM
cana-2083	218	2	below	below	ADP
cana-2083	218	3	:	:	PUNCT
cana-2083	218	4	fig	fig	NOUN
cana-2083	218	5	.	.	PUNCT
cana-2083	218	6	5	5	NUM
cana-2083	218	7	comparison	comparison	NOUN
cana-2083	218	8	of	of	ADP
cana-2083	218	9	observed	observed	ADJ
cana-2083	218	10	and	and	CCONJ
cana-2083	218	11	estimated	estimate	VERB
cana-2083	218	12	ghq	ghq	NOUN
cana-2083	218	13	total	total	NOUN
cana-2083	218	14	for	for	ADP
cana-2083	218	15	dataset_1	dataset_1	PROPN
cana-2083	218	16	3.5.4	3.5.4	NUM
cana-2083	218	17	estimation	estimation	NOUN
cana-2083	218	18	of	of	ADP
cana-2083	218	19	mean	mean	NOUN
cana-2083	218	20	ghq	ghq	NOUN
cana-2083	218	21	total	total	NOUN
cana-2083	218	22	for	for	ADP
cana-2083	218	23	dataset_2	dataset_2	NOUN
cana-2083	218	24	the	the	DET
cana-2083	218	25	results	result	NOUN
cana-2083	218	26	obtained	obtain	VERB
cana-2083	218	27	through	through	ADP
cana-2083	218	28	the	the	DET
cana-2083	218	29	simulation	simulation	NOUN
cana-2083	218	30	and	and	CCONJ
cana-2083	218	31	dataset_1	dataset_1	ADV
cana-2083	218	32	are	be	AUX
cana-2083	218	33	applied	apply	VERB
cana-2083	218	34	to	to	ADP
cana-2083	218	35	the	the	DET
cana-2083	218	36	dataset_2	dataset_2	NOUN
cana-2083	218	37	(	(	PUNCT
cana-2083	218	38	survey	survey	NOUN
cana-2083	218	39	1	1	NUM
cana-2083	218	40	and	and	CCONJ
cana-2083	218	41	survey	survey	VERB
cana-2083	218	42	2	2	NUM
cana-2083	218	43	data	datum	NOUN
cana-2083	218	44	)	)	PUNCT
cana-2083	218	45	where	where	SCONJ
cana-2083	218	46	we	we	PRON
cana-2083	218	47	just	just	ADV
cana-2083	218	48	had	have	VERB
cana-2083	218	49	the	the	DET
cana-2083	218	50	difficulty	difficulty	NOUN
cana-2083	218	51	scores	score	NOUN
cana-2083	218	52	and	and	CCONJ
cana-2083	218	53	not	not	PART
cana-2083	218	54	the	the	DET
cana-2083	218	55	ghq	ghq	NOUN
cana-2083	218	56	scores	score	NOUN
cana-2083	218	57	.	.	PUNCT
cana-2083	219	1	similar	similar	ADJ
cana-2083	219	2	to	to	ADP
cana-2083	219	3	what	what	PRON
cana-2083	219	4	we	we	PRON
cana-2083	219	5	did	do	AUX
cana-2083	219	6	for	for	ADP
cana-2083	219	7	dataset_1	dataset_1	ADV
cana-2083	219	8	,	,	PUNCT
cana-2083	219	9	appropriate	appropriate	ADJ
cana-2083	219	10	distributions	distribution	NOUN
cana-2083	219	11	for	for	ADP
cana-2083	219	12	difficulty	difficulty	NOUN
cana-2083	219	13	scores	score	NOUN
cana-2083	219	14	of	of	ADP
cana-2083	219	15	survey	survey	NOUN
cana-2083	219	16	1	1	NUM
cana-2083	219	17	and	and	CCONJ
cana-2083	219	18	survey	survey	NOUN
cana-2083	219	19	2	2	NUM
cana-2083	219	20	data	datum	NOUN
cana-2083	219	21	were	be	AUX
cana-2083	219	22	obtained	obtain	VERB
cana-2083	219	23	.	.	PUNCT
cana-2083	220	1	the	the	DET
cana-2083	220	2	distributions	distribution	NOUN
cana-2083	220	3	were	be	AUX
cana-2083	220	4	weibull	weibull	NOUN
cana-2083	220	5	(	(	PUNCT
cana-2083	220	6	2.74574	2.74574	NUM
cana-2083	220	7	,	,	PUNCT
cana-2083	220	8	15.2954	15.2954	NUM
cana-2083	220	9	)	)	PUNCT
cana-2083	220	10	for	for	ADP
cana-2083	220	11	survey	survey	NOUN
cana-2083	220	12	1	1	NUM
cana-2083	220	13	;	;	PUNCT
cana-2083	220	14	and	and	CCONJ
cana-2083	220	15	weibull	weibull	PROPN
cana-2083	220	16	(	(	PUNCT
cana-2083	220	17	2.64852	2.64852	NUM
cana-2083	220	18	,	,	PUNCT
cana-2083	220	19	14.3518	14.3518	NUM
cana-2083	220	20	)	)	PUNCT
cana-2083	220	21	for	for	ADP
cana-2083	220	22	survey	survey	NOUN
cana-2083	220	23	2	2	NUM
cana-2083	220	24	difficulty	difficulty	NOUN
cana-2083	220	25	scores	score	NOUN
cana-2083	220	26	(	(	PUNCT
cana-2083	220	27	table	table	NOUN
cana-2083	220	28	7	7	NUM
cana-2083	220	29	)	)	PUNCT
cana-2083	220	30	.	.	PUNCT
cana-2083	221	1	communications	communication	NOUN
cana-2083	221	2	on	on	ADP
cana-2083	221	3	applied	apply	VERB
cana-2083	221	4	nonlinear	nonlinear	ADJ
cana-2083	221	5	analysis	analysis	NOUN
cana-2083	221	6	issn	issn	NOUN
cana-2083	221	7	:	:	PUNCT
cana-2083	221	8	1074	1074	NUM
cana-2083	221	9	-	-	PUNCT
cana-2083	221	10	133x	133x	NUM
cana-2083	221	11	vol	vol	NOUN
cana-2083	221	12	32	32	NUM
cana-2083	221	13	no	no	NOUN
cana-2083	221	14	.	.	PUNCT
cana-2083	222	1	1s	1s	NUM
cana-2083	222	2	(	(	PUNCT
cana-2083	222	3	2025	2025	NUM
cana-2083	222	4	)	)	PUNCT
cana-2083	222	5	12	12	NUM
cana-2083	222	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2083	222	7	table	table	NOUN
cana-2083	222	8	7	7	NUM
cana-2083	222	9	aic	aic	PROPN
cana-2083	222	10	and	and	CCONJ
cana-2083	222	11	bic	bic	PROPN
cana-2083	222	12	values	value	NOUN
cana-2083	222	13	of	of	ADP
cana-2083	222	14	different	different	ADJ
cana-2083	222	15	distributions	distribution	NOUN
cana-2083	222	16	for	for	ADP
cana-2083	222	17	difficulty	difficulty	NOUN
cana-2083	222	18	score	score	NOUN
cana-2083	222	19	,	,	PUNCT
cana-2083	222	20	for	for	ADP
cana-2083	222	21	survey	survey	NOUN
cana-2083	222	22	1	1	NUM
cana-2083	222	23	and	and	CCONJ
cana-2083	222	24	survey2	survey2	NOUN
cana-2083	222	25	variable	variable	ADJ
cana-2083	222	26	distribution	distribution	NOUN
cana-2083	222	27	aic	aic	PROPN
cana-2083	222	28	values	value	VERB
cana-2083	222	29	bic	bic	PROPN
cana-2083	222	30	values	value	NOUN
cana-2083	222	31	selected	select	VERB
cana-2083	222	32	distribution	distribution	NOUN
cana-2083	222	33	mle	mle	NOUN
cana-2083	222	34	of	of	ADP
cana-2083	222	35	the	the	DET
cana-2083	222	36	parameters	parameter	NOUN
cana-2083	222	37	difficulty	difficulty	NOUN
cana-2083	222	38	score	score	NOUN
cana-2083	222	39	(	(	PUNCT
cana-2083	222	40	survey	survey	NOUN
cana-2083	222	41	1	1	NUM
cana-2083	222	42	)	)	PUNCT
cana-2083	222	43	normal	normal	ADJ
cana-2083	222	44	6319.12	6319.12	NUM
cana-2083	222	45	6328.98	6328.98	NUM
cana-2083	222	46	weibull	weibull	X
cana-2083	222	47	k̂	k̂	X
cana-2083	223	1	=	=	SYM
cana-2083	223	2	2.74574	2.74574	NUM
cana-2083	223	3	̂	̂	NOUN
cana-2083	223	4	=	=	SYM
cana-2083	223	5	15.2954	15.2954	NUM
cana-2083	223	6	gamma	gamma	NOUN
cana-2083	223	7	6258.82	6258.82	NUM
cana-2083	223	8	6268.68	6268.68	NUM
cana-2083	223	9	weibull	weibull	X
cana-2083	223	10	6254.20	6254.20	NUM
cana-2083	223	11	6264.06	6264.06	NUM
cana-2083	223	12	lognormal	lognormal	ADJ
cana-2083	223	13	6314.92	6314.92	NUM
cana-2083	223	14	6324.78	6324.78	NUM
cana-2083	223	15	exponential	exponential	NOUN
cana-2083	223	16	7365.21	7365.21	NUM
cana-2083	223	17	7370.14	7370.14	NUM
cana-2083	223	18	difficulty	difficulty	NOUN
cana-2083	223	19	score	score	NOUN
cana-2083	223	20	(	(	PUNCT
cana-2083	223	21	survey	survey	NOUN
cana-2083	223	22	2	2	NUM
cana-2083	223	23	)	)	PUNCT
cana-2083	223	24	normal	normal	ADJ
cana-2083	223	25	4554.51	4554.51	NUM
cana-2083	223	26	4563.73	4563.73	NUM
cana-2083	223	27	weibull	weibull	X
cana-2083	223	28	k̂	k̂	X
cana-2083	223	29	=	=	SYM
cana-2083	223	30	2.64852	2.64852	NUM
cana-2083	223	31	̂	̂	NOUN
cana-2083	223	32	=	=	SYM
cana-2083	223	33	14.3518	14.3518	NUM
cana-2083	223	34	gamma	gamma	NOUN
cana-2083	223	35	4521.42	4521.42	NUM
cana-2083	223	36	4530.65	4530.65	NUM
cana-2083	223	37	weibull	weibull	X
cana-2083	223	38	4518.56	4518.56	NUM
cana-2083	223	39	4527.78	4527.78	NUM
cana-2083	223	40	lognormal	lognormal	ADJ
cana-2083	223	41	4571.42	4571.42	NUM
cana-2083	223	42	4580.64	4580.64	NUM
cana-2083	223	43	exponential	exponential	ADJ
cana-2083	223	44	5269.36	5269.36	NUM
cana-2083	223	45	5273.97	5273.97	NUM
cana-2083	223	46	we	we	PRON
cana-2083	223	47	generated	generate	VERB
cana-2083	223	48	10000	10000	NUM
cana-2083	223	49	values	value	NOUN
cana-2083	223	50	from	from	ADP
cana-2083	223	51	each	each	PRON
cana-2083	223	52	of	of	ADP
cana-2083	223	53	the	the	DET
cana-2083	223	54	two	two	NUM
cana-2083	223	55	weibull	weibull	NOUN
cana-2083	223	56	distributions	distribution	NOUN
cana-2083	223	57	and	and	CCONJ
cana-2083	223	58	applied	apply	VERB
cana-2083	223	59	the	the	DET
cana-2083	223	60	(	(	PUNCT
cana-2083	223	61	fourth	fourth	ADJ
cana-2083	223	62	root	root	NOUN
cana-2083	223	63	)	)	PUNCT
cana-2083	223	64	power	power	NOUN
cana-2083	223	65	transformation	transformation	NOUN
cana-2083	223	66	to	to	ADP
cana-2083	223	67	the	the	DET
cana-2083	223	68	generated	generate	VERB
cana-2083	223	69	and	and	CCONJ
cana-2083	223	70	the	the	DET
cana-2083	223	71	real	real	ADJ
cana-2083	223	72	data	datum	NOUN
cana-2083	223	73	.	.	PUNCT
cana-2083	224	1	assuming	assume	VERB
cana-2083	224	2	the	the	DET
cana-2083	224	3	same	same	ADJ
cana-2083	224	4	covariance	covariance	NOUN
cana-2083	224	5	structure	structure	NOUN
cana-2083	224	6	of	of	ADP
cana-2083	224	7	the	the	DET
cana-2083	224	8	transformed	transform	VERB
cana-2083	224	9	variables	variable	NOUN
cana-2083	224	10	as	as	SCONJ
cana-2083	224	11	was	be	AUX
cana-2083	224	12	in	in	ADP
cana-2083	224	13	case	case	NOUN
cana-2083	224	14	of	of	ADP
cana-2083	224	15	survey	survey	NOUN
cana-2083	224	16	3	3	NUM
cana-2083	224	17	data	datum	NOUN
cana-2083	224	18	(	(	PUNCT
cana-2083	224	19	the	the	DET
cana-2083	224	20	reason	reason	NOUN
cana-2083	224	21	being	be	AUX
cana-2083	224	22	the	the	DET
cana-2083	224	23	scale	scale	NOUN
cana-2083	224	24	and	and	CCONJ
cana-2083	224	25	shape	shape	NOUN
cana-2083	224	26	parameters	parameter	NOUN
cana-2083	224	27	of	of	ADP
cana-2083	224	28	the	the	DET
cana-2083	224	29	two	two	NUM
cana-2083	224	30	weibull	weibull	NOUN
cana-2083	224	31	distributions	distribution	NOUN
cana-2083	224	32	were	be	AUX
cana-2083	224	33	close	close	ADJ
cana-2083	224	34	to	to	ADP
cana-2083	224	35	that	that	PRON
cana-2083	224	36	in	in	ADP
cana-2083	224	37	case	case	NOUN
cana-2083	224	38	of	of	ADP
cana-2083	224	39	survey	survey	NOUN
cana-2083	224	40	3	3	NUM
cana-2083	224	41	data	datum	NOUN
cana-2083	224	42	)	)	PUNCT
cana-2083	224	43	,	,	PUNCT
cana-2083	224	44	equation	equation	NOUN
cana-2083	224	45	(	(	PUNCT
cana-2083	224	46	8)	8)	NUM
cana-2083	224	47	,	,	PUNCT
cana-2083	224	48	i.e.	i.e.	X
cana-2083	224	49	(	(	PUNCT
cana-2083	224	50	)	)	PUNCT
cana-2083	224	51	,	,	PUNCT
cana-2083	224	52	,	,	PUNCT
cana-2083	224	53	,	,	PUNCT
cana-2083	224	54	.,ghq	.,ghq	NOUN
cana-2083	224	55	,	,	PUNCT
cana-2083	224	56	,	,	PUNCT
cana-2083	224	57	.	.	PUNCT
cana-2083	225	1	,	,	PUNCT
cana-2083	225	2	1	1	NUM
cana-2083	225	3	(	(	PUNCT
cana-2083	225	4	|	|	ADV
cana-2083	225	5	.	.	PUNCT
cana-2083	225	6	)	)	PUNCT
cana-2083	225	7	;	;	PUNCT
cana-2083	226	1	1,2	1,2	NUM
cana-2083	226	2	ji	ji	NOUN
cana-2083	226	3	j	j	NOUN
cana-2083	227	1	i	i	PRON
cana-2083	227	2	ghq	ghq	VERB
cana-2083	227	3	i	i	PRON
cana-2083	227	4	diff	diff	VERB
cana-2083	228	1	i	i	PRON
cana-2083	228	2	j	j	PROPN
cana-2083	229	1	i	i	PRON
cana-2083	229	2	diff	diff	VERB
cana-2083	229	3	i	i	PRON
cana-2083	229	4	ghq	ghq	VERB
cana-2083	230	1	ghq	ghq	INTJ
cana-2083	230	2	diff	diff	PROPN
cana-2083	230	3	diff	diff	PROPN
cana-2083	230	4	j	j	PART
cana-2083	230	5			NOUN
cana-2083	230	6			NOUN
cana-2083	230	7			NOUN
cana-2083	230	8			NOUN
cana-2083	230	9	=	=	PUNCT
cana-2083	230	10	−	−	NOUN
cana-2083	231	1	−	−	PROPN
cana-2083	231	2	=	=	SYM
cana-2083	231	3	;	;	PUNCT
cana-2083	231	4	j	j	PROPN
cana-2083	231	5	denotes	denote	VERB
cana-2083	231	6	the	the	DET
cana-2083	231	7	values	value	NOUN
cana-2083	231	8	of	of	ADP
cana-2083	231	9	survey	survey	NOUN
cana-2083	231	10	1	1	NUM
cana-2083	231	11	and	and	CCONJ
cana-2083	231	12	survey	survey	NOUN
cana-2083	231	13	2	2	NUM
cana-2083	231	14	.	.	PUNCT
cana-2083	231	15	was	be	AUX
cana-2083	231	16	used	use	VERB
cana-2083	231	17	to	to	PART
cana-2083	231	18	calculate	calculate	VERB
cana-2083	231	19	conditional	conditional	ADJ
cana-2083	231	20	expectation	expectation	NOUN
cana-2083	231	21	of	of	ADP
cana-2083	231	22	ghq	ghq	NOUN
cana-2083	231	23	total	total	NOUN
cana-2083	231	24	given	give	VERB
cana-2083	231	25	difficulty	difficulty	NOUN
cana-2083	231	26	scores	score	NOUN
cana-2083	231	27	.	.	PUNCT
cana-2083	232	1	the	the	DET
cana-2083	232	2	results	result	NOUN
cana-2083	232	3	are	be	AUX
cana-2083	232	4	presented	present	VERB
cana-2083	232	5	in	in	ADP
cana-2083	232	6	table	table	NOUN
cana-2083	232	7	8	8	NUM
cana-2083	232	8	below	below	ADV
cana-2083	232	9	.	.	PUNCT
cana-2083	233	1	columns	column	NOUN
cana-2083	233	2	6	6	NUM
cana-2083	233	3	and	and	CCONJ
cana-2083	233	4	7	7	NUM
cana-2083	233	5	of	of	ADP
cana-2083	233	6	the	the	DET
cana-2083	233	7	table	table	NOUN
cana-2083	233	8	8	8	NUM
cana-2083	233	9	present	present	NOUN
cana-2083	233	10	the	the	DET
cana-2083	233	11	estimated	estimate	VERB
cana-2083	233	12	ghq	ghq	NOUN
cana-2083	233	13	scores	score	NOUN
cana-2083	233	14	for	for	ADP
cana-2083	233	15	survey	survey	NOUN
cana-2083	233	16	1	1	NUM
cana-2083	233	17	and	and	CCONJ
cana-2083	233	18	survey	survey	NOUN
cana-2083	233	19	2	2	NUM
cana-2083	233	20	respectively	respectively	ADV
cana-2083	233	21	as	as	SCONJ
cana-2083	233	22	obtained	obtain	VERB
cana-2083	233	23	through	through	ADP
cana-2083	233	24	the	the	DET
cana-2083	233	25	bvn	bvn	PROPN
cana-2083	233	26	model	model	NOUN
cana-2083	233	27	.	.	PUNCT
cana-2083	234	1	table	table	NOUN
cana-2083	234	2	8	8	NUM
cana-2083	234	3	estimated	estimate	VERB
cana-2083	234	4	unknown	unknown	ADJ
cana-2083	234	5	mean	mean	NOUN
cana-2083	234	6	*	*	PUNCT
cana-2083	234	7	ghq	ghq	NOUN
cana-2083	234	8	total	total	NOUN
cana-2083	234	9	given	give	VERB
cana-2083	234	10	*	*	PUNCT
cana-2083	234	11	diff	diff	NOUN
cana-2083	234	12	score	score	NOUN
cana-2083	234	13	for	for	ADP
cana-2083	234	14	dataset	dataset	NOUN
cana-2083	234	15	2	2	NUM
cana-2083	234	16	using	use	VERB
cana-2083	234	17	a	a	DET
cana-2083	234	18	generated	generate	VERB
cana-2083	234	19	random	random	ADJ
cana-2083	234	20	sample	sample	NOUN
cana-2083	234	21	of	of	ADP
cana-2083	234	22	size	size	NOUN
cana-2083	234	23	10000	10000	NUM
cana-2083	234	24	for	for	ADP
cana-2083	234	25	bvn	bvn	NOUN
cana-2083	234	26	distribution	distribution	NOUN
cana-2083	234	27	1	1	NUM
cana-2083	234	28	2	2	NUM
cana-2083	234	29	3	3	NUM
cana-2083	234	30	4	4	NUM
cana-2083	234	31	5	5	NUM
cana-2083	234	32	6	6	NUM
cana-2083	234	33	7	7	NUM
cana-2083	234	34	interval	interval	NOUN
cana-2083	234	35	real	real	ADJ
cana-2083	234	36	data	datum	NOUN
cana-2083	234	37	simulated	simulate	VERB
cana-2083	234	38	data	datum	NOUN
cana-2083	235	1	e[*g	e[*g	PROPN
cana-2083	235	2	hq|	hq|	PROPN
cana-2083	235	3	*	*	PUNCT
cana-2083	235	4	diff	diff	PROPN
cana-2083	235	5	.	.	PUNCT
cana-2083	235	6	]	]	PUNCT
cana-2083	236	1	for	for	ADP
cana-2083	236	2	survey	survey	NOUN
cana-2083	236	3	1	1	NUM
cana-2083	236	4	e[*g	e[*g	PROPN
cana-2083	236	5	hq|	hq|	PROPN
cana-2083	236	6	*	*	PUNCT
cana-2083	236	7	diff	diff	PROPN
cana-2083	236	8	.	.	PUNCT
cana-2083	236	9	]	]	PUNCT
cana-2083	237	1	for	for	ADP
cana-2083	237	2	survey	survey	NOUN
cana-2083	237	3	2	2	NUM
cana-2083	237	4	estima	estima	PROPN
cana-2083	237	5	ted	te	VERB
cana-2083	237	6	ghq	ghq	PROPN
cana-2083	237	7	survey	survey	NOUN
cana-2083	237	8	1	1	NUM
cana-2083	237	9	estima	estima	PROPN
cana-2083	237	10	ted	te	VERB
cana-2083	237	11	ghq	ghq	PROPN
cana-2083	237	12	survey	survey	NOUN
cana-2083	237	13	2	2	NUM
cana-2083	237	14	mean	mean	NOUN
cana-2083	237	15	diff_sur	diff_sur	PROPN
cana-2083	237	16	vey	vey	VERB
cana-2083	237	17	1	1	NUM
cana-2083	237	18	mean	mean	NOUN
cana-2083	238	1	diff_surv	diff_surv	NUM
cana-2083	239	1	ey2	ey2	NOUN
cana-2083	239	2	mean	mean	VERB
cana-2083	239	3	diff_surv	diff_surv	NOUN
cana-2083	239	4	ey1	ey1	ADV
cana-2083	239	5	mean	mean	VERB
cana-2083	239	6	diff_surv	diff_surv	NUM
cana-2083	239	7	ey2	ey2	NOUN
cana-2083	239	8	1	1	NUM
cana-2083	239	9	<	<	NOUN
cana-2083	239	10	diff≥1	diff≥1	NUM
cana-2083	239	11	.25	.25	NUM
cana-2083	239	12	1.1892	1.1892	NUM
cana-2083	239	13	1.1892	1.1892	NUM
cana-2083	239	14	1.2336	1.2336	NUM
cana-2083	239	15	1.1796	1.1796	NUM
cana-2083	239	16	1.9411	1.9411	NUM
cana-2083	239	17	2.2819	2.2819	NUM
cana-2083	239	18	3.7677	3.7677	NUM
cana-2083	239	19	5.2071	5.2071	NUM
cana-2083	239	20	communications	communication	NOUN
cana-2083	239	21	on	on	ADP
cana-2083	239	22	applied	apply	VERB
cana-2083	239	23	nonlinear	nonlinear	ADJ
cana-2083	239	24	analysis	analysis	NOUN
cana-2083	239	25	issn	issn	NOUN
cana-2083	239	26	:	:	PUNCT
cana-2083	239	27	1074	1074	NUM
cana-2083	239	28	-	-	PUNCT
cana-2083	239	29	133x	133x	NUM
cana-2083	239	30	vol	vol	NOUN
cana-2083	239	31	32	32	NUM
cana-2083	239	32	no	no	NOUN
cana-2083	239	33	.	.	PUNCT
cana-2083	240	1	1s	1s	NUM
cana-2083	240	2	(	(	PUNCT
cana-2083	240	3	2025	2025	NUM
cana-2083	240	4	)	)	PUNCT
cana-2083	240	5	13	13	NUM
cana-2083	240	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2083	240	7	1.25	1.25	NUM
cana-2083	240	8	<	<	X
cana-2083	240	9	dif	dif	X
cana-2083	240	10	f	f	PROPN
cana-2083	240	11	≥1.5	≥1.5	PROPN
cana-2083	240	12	1.4493	1.4493	NUM
cana-2083	240	13	1.4346	1.4346	NUM
cana-2083	240	14	1.4308	1.4308	NUM
cana-2083	240	15	1.4304	1.4304	NUM
cana-2083	240	16	2.5374	2.5374	NUM
cana-2083	240	17	2.5501	2.5501	NUM
cana-2083	240	18	6.4384	6.4384	NUM
cana-2083	240	19	6.5030	6.5030	NUM
cana-2083	240	20	1.5	1.5	NUM
cana-2083	240	21	<	<	X
cana-2083	240	22	diff	diff	NOUN
cana-2083	240	23	≥1.75	≥1.75	VERB
cana-2083	240	24	1.6704	1.6704	NUM
cana-2083	240	25	1.6631	1.6631	NUM
cana-2083	240	26	1.6575	1.6575	NUM
cana-2083	240	27	1.6531	1.6531	NUM
cana-2083	240	28	2.9500	2.9500	NUM
cana-2083	240	29	2.9473	2.9473	NUM
cana-2083	240	30	8.7025	8.7025	NUM
cana-2083	240	31	8.6866	8.6866	NUM
cana-2083	240	32	1.75	1.75	NUM
cana-2083	240	33	<	<	X
cana-2083	240	34	dif	dif	X
cana-2083	240	35	f	f	PROPN
cana-2083	241	1	≥2	≥2	PROPN
cana-2083	241	2	1.8857	1.8857	NUM
cana-2083	241	3	1.8870	1.8870	NUM
cana-2083	241	4	1.8554	1.8554	NUM
cana-2083	241	5	1.8720	1.8720	NUM
cana-2083	241	6	3.6963	3.6963	NUM
cana-2083	241	7	3.7039	3.7039	NUM
cana-2083	241	8	13.6626	13.6626	NUM
cana-2083	241	9	13.7188	13.7188	NUM
cana-2083	241	10	2	2	NUM
cana-2083	241	11	<	<	X
cana-2083	241	12	diff	diff	NOUN
cana-2083	241	13	≥2.25	≥2.25	NOUN
cana-2083	241	14	2.1044	2.1044	NUM
cana-2083	241	15	2.0982	2.0982	NUM
cana-2083	241	16	2.0936	2.0936	NUM
cana-2083	241	17	2.0909	2.0909	NUM
cana-2083	241	18	4.7516	4.7516	NUM
cana-2083	241	19	4.7531	4.7531	NUM
cana-2083	241	20	22.5777	22.5777	NUM
cana-2083	241	21	22.5919	22.5919	NUM
cana-2083	241	22	2.25	2.25	NUM
cana-2083	241	23	<	<	X
cana-2083	241	24	dif	dif	X
cana-2083	241	25	f	f	PROPN
cana-2083	241	26	≥2.5	≥2.5	NOUN
cana-2083	241	27	2.2868	2.2868	NUM
cana-2083	241	28	2.2775	2.2775	NUM
cana-2083	241	29	2.3182	2.3182	NUM
cana-2083	241	30	2.3238	2.3238	NUM
cana-2083	241	31	5.8536	5.8536	NUM
cana-2083	241	32	5.8595	5.8595	NUM
cana-2083	241	33	34.2646	34.2646	NUM
cana-2083	241	34	34.3337	34.3337	NUM
cana-2083	241	35	3.5.5	3.5.5	NUM
cana-2083	241	36	validation	validation	NOUN
cana-2083	241	37	of	of	ADP
cana-2083	241	38	the	the	DET
cana-2083	241	39	model	model	NOUN
cana-2083	241	40	using	use	VERB
cana-2083	241	41	information	information	NOUN
cana-2083	241	42	on	on	ADP
cana-2083	241	43	respondents	respondent	NOUN
cana-2083	241	44	who	who	PRON
cana-2083	241	45	participated	participate	VERB
cana-2083	241	46	in	in	ADP
cana-2083	241	47	all	all	DET
cana-2083	241	48	the	the	DET
cana-2083	241	49	three	three	NUM
cana-2083	241	50	surveys	survey	NOUN
cana-2083	241	51	.	.	PUNCT
cana-2083	242	1	although	although	SCONJ
cana-2083	242	2	the	the	DET
cana-2083	242	3	three	three	NUM
cana-2083	242	4	surveys	survey	NOUN
cana-2083	242	5	were	be	AUX
cana-2083	242	6	conducted	conduct	VERB
cana-2083	242	7	independently	independently	ADV
cana-2083	242	8	on	on	ADP
cana-2083	242	9	dynamic	dynamic	ADJ
cana-2083	242	10	population	population	NOUN
cana-2083	242	11	of	of	ADP
cana-2083	242	12	young	young	ADJ
cana-2083	242	13	adults	adult	NOUN
cana-2083	242	14	,	,	PUNCT
cana-2083	242	15	162	162	NUM
cana-2083	242	16	respondents	respondent	NOUN
cana-2083	242	17	were	be	AUX
cana-2083	242	18	found	find	VERB
cana-2083	242	19	to	to	PART
cana-2083	242	20	have	have	AUX
cana-2083	242	21	participated	participate	VERB
cana-2083	242	22	in	in	ADP
cana-2083	242	23	all	all	DET
cana-2083	242	24	the	the	DET
cana-2083	242	25	three	three	NUM
cana-2083	242	26	surveys	survey	NOUN
cana-2083	242	27	.	.	PUNCT
cana-2083	243	1	the	the	DET
cana-2083	243	2	observations	observation	NOUN
cana-2083	243	3	on	on	ADP
cana-2083	243	4	these	these	DET
cana-2083	243	5	respondents	respondent	NOUN
cana-2083	243	6	were	be	AUX
cana-2083	243	7	not	not	PART
cana-2083	243	8	independent	independent	ADJ
cana-2083	243	9	.	.	PUNCT
cana-2083	244	1	the	the	DET
cana-2083	244	2	model	model	NOUN
cana-2083	244	3	was	be	AUX
cana-2083	244	4	applied	apply	VERB
cana-2083	244	5	on	on	ADP
cana-2083	244	6	survey	survey	NOUN
cana-2083	244	7	3	3	NUM
cana-2083	244	8	data	datum	NOUN
cana-2083	244	9	of	of	ADP
cana-2083	244	10	these	these	DET
cana-2083	244	11	162	162	NUM
cana-2083	244	12	respondents	respondent	NOUN
cana-2083	244	13	to	to	PART
cana-2083	244	14	estimate	estimate	VERB
cana-2083	244	15	ghq	ghq	VERB
cana-2083	244	16	total	total	NOUN
cana-2083	244	17	for	for	ADP
cana-2083	244	18	known	know	VERB
cana-2083	244	19	difficulty	difficulty	NOUN
cana-2083	244	20	scores	score	NOUN
cana-2083	244	21	.	.	PUNCT
cana-2083	245	1	the	the	DET
cana-2083	245	2	results	result	NOUN
cana-2083	245	3	are	be	AUX
cana-2083	245	4	presented	present	VERB
cana-2083	245	5	in	in	ADP
cana-2083	245	6	table	table	NOUN
cana-2083	245	7	9	9	NUM
cana-2083	245	8	below	below	ADV
cana-2083	245	9	:	:	PUNCT
cana-2083	245	10	table	table	NOUN
cana-2083	245	11	9	9	NUM
cana-2083	245	12	estimated	estimate	VERB
cana-2083	245	13	mean	mean	NOUN
cana-2083	245	14	*	*	PUNCT
cana-2083	245	15	ghq	ghq	NOUN
cana-2083	245	16	total	total	NOUN
cana-2083	245	17	given	give	VERB
cana-2083	245	18	*	*	PUNCT
cana-2083	245	19	diff	diff	NOUN
cana-2083	245	20	score	score	NOUN
cana-2083	245	21	for	for	ADP
cana-2083	245	22	survey	survey	NOUN
cana-2083	245	23	3	3	NUM
cana-2083	245	24	,	,	PUNCT
cana-2083	245	25	of	of	ADP
cana-2083	245	26	162	162	NUM
cana-2083	245	27	respondents	respondent	NOUN
cana-2083	245	28	(	(	PUNCT
cana-2083	245	29	who	who	PRON
cana-2083	245	30	participated	participate	VERB
cana-2083	245	31	in	in	ADP
cana-2083	245	32	all	all	DET
cana-2083	245	33	the	the	DET
cana-2083	245	34	three	three	NUM
cana-2083	245	35	surveys	survey	NOUN
cana-2083	245	36	)	)	PUNCT
cana-2083	245	37	for	for	ADP
cana-2083	245	38	different	different	ADJ
cana-2083	245	39	intervals	interval	NOUN
cana-2083	245	40	of	of	ADP
cana-2083	245	41	*	*	PUNCT
cana-2083	245	42	diff	diff	NOUN
cana-2083	245	43	score	score	NOUN
cana-2083	245	44	interval	interval	NOUN
cana-2083	245	45	(	(	PUNCT
cana-2083	245	46	1	1	X
cana-2083	245	47	)	)	PUNCT
cana-2083	245	48	real	real	ADJ
cana-2083	245	49	data	datum	NOUN
cana-2083	245	50	(	(	PUNCT
cana-2083	245	51	2	2	NUM
cana-2083	245	52	)	)	PUNCT
cana-2083	245	53	e[*ghq	e[*ghq	NUM
cana-2083	245	54	|*diff	|*diff	PROPN
cana-2083	245	55	.	.	PUNCT
cana-2083	245	56	]	]	X
cana-2083	246	1	(	(	PUNCT
cana-2083	246	2	3	3	X
cana-2083	246	3	)	)	PUNCT
cana-2083	246	4	observed	observed	ADJ
cana-2083	246	5	mean	mean	ADJ
cana-2083	246	6	scores	score	NOUN
cana-2083	246	7	of	of	ADP
cana-2083	246	8	ghq	ghq	NOUN
cana-2083	246	9	(	(	PUNCT
cana-2083	246	10	4	4	NUM
cana-2083	246	11	)	)	PUNCT
cana-2083	246	12	estimated	estimate	VERB
cana-2083	246	13	ghq	ghq	INTJ
cana-2083	246	14	(	(	PUNCT
cana-2083	246	15	after	after	ADP
cana-2083	246	16	reverse	reverse	ADJ
cana-2083	246	17	transformation	transformation	NOUN
cana-2083	246	18	)	)	PUNCT
cana-2083	246	19	(	(	PUNCT
cana-2083	246	20	5	5	X
cana-2083	246	21	)	)	PUNCT
cana-2083	246	22	mean	mean	NOUN
cana-2083	246	23	*	*	PUNCT
cana-2083	246	24	ghq	ghq	NOUN
cana-2083	246	25	mean	mean	NOUN
cana-2083	246	26	*	*	NOUN
cana-2083	246	27	diff	diff	NOUN
cana-2083	246	28	.	.	PUNCT
cana-2083	247	1	1	1	NUM
cana-2083	247	2	<	<	X
cana-2083	247	3	diff≥1.25	diff≥1.25	NUM
cana-2083	247	4	2.0819	2.0819	NUM
cana-2083	247	5	1.1621	1.1621	NUM
cana-2083	247	6	1.9671	1.9671	NUM
cana-2083	247	7	4.3343	4.3343	NUM
cana-2083	247	8	3.8695	3.8695	NUM
cana-2083	247	9	1.25	1.25	NUM
cana-2083	247	10	<	<	X
cana-2083	247	11	diff	diff	PROPN
cana-2083	247	12	≥150	≥150	NOUN
cana-2083	247	13	2.9142	2.9142	NUM
cana-2083	247	14	1.4953	1.4953	NUM
cana-2083	247	15	2.4935	2.4935	NUM
cana-2083	247	16	8.4925	8.4925	NUM
cana-2083	247	17	6.2175	6.2175	NUM
cana-2083	247	18	1.50	1.50	NUM
cana-2083	247	19	<	<	X
cana-2083	247	20	diff	diff	NOUN
cana-2083	247	21	≥1.75	≥1.75	VERB
cana-2083	247	22	3.2533	3.2533	NUM
cana-2083	247	23	1.6764	1.6764	NUM
cana-2083	247	24	2.8471	2.8471	NUM
cana-2083	247	25	10.5840	10.5840	NUM
cana-2083	247	26	8.1059	8.1059	NUM
cana-2083	247	27	1.75	1.75	NUM
cana-2083	247	28	<	<	X
cana-2083	247	29	diff	diff	NOUN
cana-2083	247	30	≥2	≥2	PROPN
cana-2083	247	31	3.8880	3.8880	NUM
cana-2083	247	32	1.8999	1.8999	NUM
cana-2083	247	33	3.7028	3.7028	NUM
cana-2083	247	34	15.1165	15.1165	NUM
cana-2083	247	35	13.7107	13.7107	NUM
cana-2083	247	36	2	2	NUM
cana-2083	247	37	<	<	X
cana-2083	247	38	diff	diff	NOUN
cana-2083	247	39	≥2.25	≥2.25	PROPN
cana-2083	248	1	4.5194	4.5194	NUM
cana-2083	248	2	2.1286	2.1286	NUM
cana-2083	248	3	4.7454	4.7454	NUM
cana-2083	248	4	20.4250	20.4250	NUM
cana-2083	248	5	22.5188	22.5188	NUM
cana-2083	248	6	2.25	2.25	NUM
cana-2083	248	7	<	<	X
cana-2083	248	8	diff	diff	NOUN
cana-2083	248	9	≥2.50	≥2.50	NUM
cana-2083	248	10	5.6587	5.6587	NUM
cana-2083	248	11	2.3131	2.3131	NUM
cana-2083	248	12	5.8468	5.8468	NUM
cana-2083	248	13	32.0209	32.0209	NUM
cana-2083	248	14	34.1851	34.1851	NUM
cana-2083	248	15	the	the	DET
cana-2083	248	16	columns	column	NOUN
cana-2083	248	17	(	(	PUNCT
cana-2083	248	18	4	4	NUM
cana-2083	248	19	)	)	PUNCT
cana-2083	248	20	and	and	CCONJ
cana-2083	248	21	(	(	PUNCT
cana-2083	248	22	5	5	NUM
cana-2083	248	23	)	)	PUNCT
cana-2083	248	24	of	of	ADP
cana-2083	248	25	table	table	NOUN
cana-2083	248	26	9	9	NUM
cana-2083	248	27	are	be	AUX
cana-2083	248	28	compared	compare	VERB
cana-2083	248	29	graphically	graphically	ADV
cana-2083	248	30	in	in	ADP
cana-2083	248	31	fig	fig	NOUN
cana-2083	248	32	.	.	PUNCT
cana-2083	249	1	6	6	NUM
cana-2083	249	2	below	below	ADV
cana-2083	249	3	:	:	PUNCT
cana-2083	249	4	communications	communication	NOUN
cana-2083	249	5	on	on	ADP
cana-2083	249	6	applied	apply	VERB
cana-2083	249	7	nonlinear	nonlinear	ADJ
cana-2083	249	8	analysis	analysis	NOUN
cana-2083	249	9	issn	issn	NOUN
cana-2083	249	10	:	:	PUNCT
cana-2083	249	11	1074	1074	NUM
cana-2083	249	12	-	-	PUNCT
cana-2083	249	13	133x	133x	NUM
cana-2083	249	14	vol	vol	NOUN
cana-2083	249	15	32	32	NUM
cana-2083	249	16	no	no	NOUN
cana-2083	249	17	.	.	PUNCT
cana-2083	250	1	1s	1s	NUM
cana-2083	250	2	(	(	PUNCT
cana-2083	250	3	2025	2025	NUM
cana-2083	250	4	)	)	PUNCT
cana-2083	250	5	14	14	NUM
cana-2083	250	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2083	250	7	fig	fig	NOUN
cana-2083	250	8	.	.	PUNCT
cana-2083	251	1	6	6	NUM
cana-2083	251	2	estimated	estimate	VERB
cana-2083	251	3	mean	mean	NOUN
cana-2083	251	4	*	*	PUNCT
cana-2083	251	5	ghq	ghq	NOUN
cana-2083	251	6	total	total	NOUN
cana-2083	251	7	given	give	VERB
cana-2083	251	8	*	*	PUNCT
cana-2083	251	9	diff	diff	NOUN
cana-2083	251	10	scores	score	NOUN
cana-2083	251	11	in	in	ADP
cana-2083	251	12	survey	survey	NOUN
cana-2083	251	13	3	3	NUM
cana-2083	251	14	,	,	PUNCT
cana-2083	251	15	of	of	ADP
cana-2083	251	16	162	162	NUM
cana-2083	251	17	respondents	respondent	NOUN
cana-2083	251	18	common	common	ADJ
cana-2083	251	19	to	to	ADP
cana-2083	251	20	all	all	DET
cana-2083	251	21	the	the	DET
cana-2083	251	22	three	three	NUM
cana-2083	251	23	surveys	survey	NOUN
cana-2083	251	24	it	it	PRON
cana-2083	251	25	is	be	AUX
cana-2083	251	26	evident	evident	ADJ
cana-2083	251	27	from	from	ADP
cana-2083	251	28	fig	fig	NOUN
cana-2083	251	29	.	.	PUNCT
cana-2083	252	1	6	6	NUM
cana-2083	252	2	that	that	PRON
cana-2083	252	3	for	for	ADP
cana-2083	252	4	this	this	DET
cana-2083	252	5	data	datum	NOUN
cana-2083	252	6	set	set	VERB
cana-2083	252	7	also	also	ADV
cana-2083	252	8	,	,	PUNCT
cana-2083	252	9	the	the	DET
cana-2083	252	10	values	value	NOUN
cana-2083	252	11	estimated	estimate	VERB
cana-2083	252	12	through	through	ADP
cana-2083	252	13	the	the	DET
cana-2083	252	14	model	model	NOUN
cana-2083	252	15	are	be	AUX
cana-2083	252	16	in	in	ADP
cana-2083	252	17	close	close	ADJ
cana-2083	252	18	proximity	proximity	NOUN
cana-2083	252	19	to	to	ADP
cana-2083	252	20	the	the	DET
cana-2083	252	21	observed	observe	VERB
cana-2083	252	22	mean	mean	NOUN
cana-2083	252	23	scores	score	NOUN
cana-2083	252	24	.	.	PUNCT
cana-2083	253	1	next	next	ADV
cana-2083	253	2	,	,	PUNCT
cana-2083	253	3	we	we	PRON
cana-2083	253	4	applied	apply	VERB
cana-2083	253	5	the	the	DET
cana-2083	253	6	model	model	NOUN
cana-2083	253	7	on	on	ADP
cana-2083	253	8	survey	survey	NOUN
cana-2083	253	9	1&2	1&2	NUM
cana-2083	253	10	data	datum	NOUN
cana-2083	253	11	of	of	ADP
cana-2083	253	12	these	these	DET
cana-2083	253	13	162	162	NUM
cana-2083	253	14	respondents	respondent	NOUN
cana-2083	253	15	to	to	PART
cana-2083	253	16	complete	complete	VERB
cana-2083	253	17	the	the	DET
cana-2083	253	18	information	information	NOUN
cana-2083	253	19	about	about	ADP
cana-2083	253	20	ghq	ghq	VERB
cana-2083	253	21	scores	score	NOUN
cana-2083	253	22	(	(	PUNCT
cana-2083	253	23	the	the	DET
cana-2083	253	24	then	then	ADV
cana-2083	253	25	recent	recent	ADJ
cana-2083	253	26	health	health	NOUN
cana-2083	253	27	at	at	ADP
cana-2083	253	28	the	the	DET
cana-2083	253	29	time	time	NOUN
cana-2083	253	30	of	of	ADP
cana-2083	253	31	these	these	DET
cana-2083	253	32	surveys	survey	NOUN
cana-2083	253	33	)	)	PUNCT
cana-2083	253	34	.	.	PUNCT
cana-2083	254	1	the	the	DET
cana-2083	254	2	results	result	NOUN
cana-2083	254	3	are	be	AUX
cana-2083	254	4	presented	present	VERB
cana-2083	254	5	in	in	ADP
cana-2083	254	6	table	table	NOUN
cana-2083	254	7	10	10	NUM
cana-2083	254	8	below	below	ADV
cana-2083	254	9	:	:	PUNCT
cana-2083	254	10	table	table	NOUN
cana-2083	254	11	10	10	NUM
cana-2083	254	12	estimated	estimate	VERB
cana-2083	254	13	unknown	unknown	ADJ
cana-2083	254	14	mean	mean	NOUN
cana-2083	254	15	*	*	PUNCT
cana-2083	254	16	ghq	ghq	NOUN
cana-2083	254	17	total	total	NOUN
cana-2083	254	18	given	give	VERB
cana-2083	254	19	*	*	PUNCT
cana-2083	254	20	diff	diff	NOUN
cana-2083	254	21	score	score	NOUN
cana-2083	254	22	for	for	ADP
cana-2083	254	23	survey	survey	NOUN
cana-2083	254	24	1	1	NUM
cana-2083	254	25	and	and	CCONJ
cana-2083	254	26	survey	survey	NOUN
cana-2083	254	27	2	2	NUM
cana-2083	254	28	,	,	PUNCT
cana-2083	254	29	of	of	ADP
cana-2083	254	30	162	162	NUM
cana-2083	254	31	respondents	respondent	NOUN
cana-2083	254	32	(	(	PUNCT
cana-2083	254	33	who	who	PRON
cana-2083	254	34	participated	participate	VERB
cana-2083	254	35	in	in	ADP
cana-2083	254	36	all	all	DET
cana-2083	254	37	the	the	DET
cana-2083	254	38	three	three	NUM
cana-2083	254	39	surveys	survey	NOUN
cana-2083	254	40	)	)	PUNCT
cana-2083	254	41	for	for	ADP
cana-2083	254	42	different	different	ADJ
cana-2083	254	43	intervals	interval	NOUN
cana-2083	254	44	of	of	ADP
cana-2083	254	45	*	*	PUNCT
cana-2083	254	46	diff	diff	NOUN
cana-2083	254	47	score	score	NOUN
cana-2083	254	48	interval	interval	NOUN
cana-2083	254	49	known	know	VERB
cana-2083	254	50	*	*	VERB
cana-2083	254	51	diff	diff	NOUN
cana-2083	254	52	score	score	NOUN
cana-2083	254	53	mean	mean	VERB
cana-2083	254	54	estimated	estimate	VERB
cana-2083	254	55	*	*	PUNCT
cana-2083	254	56	ghq	ghq	NOUN
cana-2083	254	57	total	total	ADJ
cana-2083	254	58	estimated	estimate	VERB
cana-2083	254	59	ghq	ghq	NOUN
cana-2083	254	60	(	(	PUNCT
cana-2083	254	61	after	after	ADP
cana-2083	254	62	reverse	reverse	ADJ
cana-2083	254	63	transformation	transformation	NOUN
cana-2083	254	64	)	)	PUNCT
cana-2083	254	65	1	1	NUM
cana-2083	254	66	<	<	X
cana-2083	254	67	diff≥1.25	diff≥1.25	NUM
cana-2083	254	68	1.1892	1.1892	NUM
cana-2083	254	69	1.9412	1.9412	NUM
cana-2083	254	70	3.7682	3.7682	NUM
cana-2083	254	71	1.25	1.25	NUM
cana-2083	254	72	<	<	NOUN
cana-2083	254	73	diff	diff	NOUN
cana-2083	254	74	≥1.5	≥1.5	PROPN
cana-2083	254	75	1.4547	1.4547	NUM
cana-2083	254	76	2.5326	2.5326	NUM
cana-2083	254	77	6.4140	6.4140	NUM
cana-2083	254	78	1.5	1.5	NUM
cana-2083	254	79	<	<	X
cana-2083	254	80	diff	diff	NOUN
cana-2083	254	81	≥1.75	≥1.75	VERB
cana-2083	255	1	1.6875	1.6875	NUM
cana-2083	255	2	2.6397	2.6397	NUM
cana-2083	255	3	6.9680	6.9680	NUM
cana-2083	255	4	1.75	1.75	NUM
cana-2083	255	5	<	<	X
cana-2083	255	6	diff	diff	NOUN
cana-2083	255	7	≥2	≥2	PROPN
cana-2083	255	8	1.8959	1.8959	NUM
cana-2083	255	9	3.6913	3.6913	NUM
cana-2083	255	10	13.6257	13.6257	NUM
cana-2083	255	11	2	2	NUM
cana-2083	255	12	<	<	X
cana-2083	255	13	diff	diff	NOUN
cana-2083	255	14	≥2.25	≥2.25	PROPN
cana-2083	255	15	2.1464	2.1464	NUM
cana-2083	255	16	4.7507	4.7507	NUM
cana-2083	255	17	22.5692	22.5692	NUM
cana-2083	255	18	2.25	2.25	NUM
cana-2083	255	19	<	<	X
cana-2083	255	20	diff	diff	NOUN
cana-2083	255	21	≥2.5	≥2.5	NOUN
cana-2083	255	22	2.2833	2.2833	NUM
cana-2083	255	23	5.8550	5.8550	NUM
cana-2083	255	24	34.2810	34.2810	NUM
cana-2083	255	25	all	all	DET
cana-2083	255	26	the	the	DET
cana-2083	255	27	calculations	calculation	NOUN
cana-2083	255	28	have	have	AUX
cana-2083	255	29	been	be	AUX
cana-2083	255	30	done	do	VERB
cana-2083	255	31	using	use	VERB
cana-2083	255	32	r	r	NOUN
cana-2083	255	33	software	software	NOUN
cana-2083	255	34	,	,	PUNCT
cana-2083	255	35	version	version	NOUN
cana-2083	255	36	4.2.1	4.2.1	NOUN
cana-2083	255	37	.	.	PUNCT
cana-2083	255	38	4	4	NUM
cana-2083	255	39	discussion	discussion	NOUN
cana-2083	255	40	psychiatric	psychiatric	ADJ
cana-2083	255	41	experts	expert	NOUN
cana-2083	255	42	suggest	suggest	VERB
cana-2083	255	43	to	to	PART
cana-2083	255	44	either	either	CCONJ
cana-2083	255	45	use	use	VERB
cana-2083	255	46	a	a	DET
cana-2083	255	47	single	single	ADJ
cana-2083	255	48	questionnaire	questionnaire	NOUN
cana-2083	255	49	multiple	multiple	ADJ
cana-2083	255	50	times	time	NOUN
cana-2083	255	51	or	or	CCONJ
cana-2083	255	52	to	to	PART
cana-2083	255	53	use	use	VERB
cana-2083	255	54	a	a	DET
cana-2083	255	55	number	number	NOUN
cana-2083	255	56	of	of	ADP
cana-2083	255	57	questionnaires	questionnaire	NOUN
cana-2083	255	58	at	at	ADP
cana-2083	255	59	a	a	DET
cana-2083	255	60	single	single	ADJ
cana-2083	255	61	point	point	NOUN
cana-2083	255	62	of	of	ADP
cana-2083	255	63	time	time	NOUN
cana-2083	255	64	in	in	ADP
cana-2083	255	65	order	order	NOUN
cana-2083	255	66	to	to	PART
cana-2083	255	67	confirm	confirm	VERB
cana-2083	255	68	consistency	consistency	NOUN
cana-2083	255	69	in	in	ADP
cana-2083	255	70	the	the	DET
cana-2083	255	71	observations	observation	NOUN
cana-2083	255	72	.	.	PUNCT
cana-2083	256	1	during	during	ADP
cana-2083	256	2	three	three	NUM
cana-2083	256	3	(	(	PUNCT
cana-2083	256	4	independent	independent	ADJ
cana-2083	256	5	)	)	PUNCT
cana-2083	256	6	surveys	survey	NOUN
cana-2083	256	7	conducted	conduct	VERB
cana-2083	256	8	by	by	ADP
cana-2083	256	9	the	the	DET
cana-2083	256	10	authors	author	NOUN
cana-2083	256	11	during	during	ADP
cana-2083	256	12	covid-19	covid-19	PROPN
cana-2083	256	13	pandemic	pandemic	ADJ
cana-2083	256	14	times	time	NOUN
cana-2083	256	15	,	,	PUNCT
cana-2083	256	16	using	use	VERB
cana-2083	256	17	sdq	sdq	PROPN
cana-2083	256	18	,	,	PUNCT
cana-2083	256	19	the	the	DET
cana-2083	256	20	observations	observation	NOUN
cana-2083	256	21	were	be	AUX
cana-2083	256	22	found	find	VERB
cana-2083	256	23	to	to	PART
cana-2083	256	24	be	be	AUX
cana-2083	256	25	consistent	consistent	ADJ
cana-2083	256	26	(	(	PUNCT
cana-2083	256	27	using	use	VERB
cana-2083	256	28	chronbach	chronbach	NOUN
cana-2083	256	29	alpha	alpha	NOUN
cana-2083	256	30	and	and	CCONJ
cana-2083	256	31	guttman	guttman	ADJ
cana-2083	256	32	lambda	lambda	PROPN
cana-2083	256	33	statistics	statistic	NOUN
cana-2083	256	34	)	)	PUNCT
cana-2083	256	35	(	(	PUNCT
cana-2083	256	36	goyal	goyal	NOUN
cana-2083	256	37	et	et	PROPN
cana-2083	256	38	al	al	PROPN
cana-2083	256	39	.	.	PROPN
cana-2083	256	40	,	,	PUNCT
cana-2083	256	41	2023	2023	NUM
cana-2083	256	42	;	;	PUNCT
cana-2083	256	43	sabharwal	sabharwal	NOUN
cana-2083	256	44	et	et	PROPN
cana-2083	256	45	al	al	PROPN
cana-2083	256	46	.	.	PROPN
cana-2083	256	47	,	,	PUNCT
cana-2083	256	48	2023	2023	NUM
cana-2083	256	49	;	;	PUNCT
cana-2083	256	50	sabharwal	sabharwal	NOUN
cana-2083	256	51	et	et	PROPN
cana-2083	256	52	al	al	PROPN
cana-2083	256	53	.	.	PROPN
cana-2083	256	54	,	,	PUNCT
cana-2083	256	55	2024	2024	NUM
cana-2083	256	56	)	)	PUNCT
cana-2083	256	57	.	.	PUNCT
cana-2083	257	1	the	the	DET
cana-2083	257	2	psychological	psychological	ADJ
cana-2083	257	3	health	health	NOUN
cana-2083	257	4	of	of	ADP
cana-2083	257	5	young	young	ADJ
cana-2083	257	6	adults	adult	NOUN
cana-2083	257	7	was	be	AUX
cana-2083	257	8	assessed	assess	VERB
cana-2083	257	9	through	through	ADP
cana-2083	257	10	sdq	sdq	NOUN
cana-2083	257	11	in	in	ADP
cana-2083	257	12	the	the	DET
cana-2083	257	13	first	first	ADJ
cana-2083	257	14	two	two	NUM
cana-2083	257	15	surveys	survey	NOUN
cana-2083	257	16	.	.	PUNCT
cana-2083	258	1	in	in	ADP
cana-2083	258	2	third	third	ADJ
cana-2083	258	3	survey	survey	NOUN
cana-2083	258	4	,	,	PUNCT
cana-2083	258	5	due	due	ADP
cana-2083	258	6	to	to	ADP
cana-2083	258	7	deadly	deadly	ADJ
cana-2083	258	8	‘	'	PUNCT
cana-2083	258	9	delta	delta	ADJ
cana-2083	258	10	’	'	PUNCT
cana-2083	258	11	wave	wave	NOUN
cana-2083	258	12	,	,	PUNCT
cana-2083	258	13	the	the	DET
cana-2083	258	14	authors	author	NOUN
cana-2083	258	15	felt	feel	VERB
cana-2083	258	16	the	the	DET
cana-2083	258	17	need	need	NOUN
cana-2083	258	18	to	to	PART
cana-2083	258	19	assess	assess	VERB
cana-2083	258	20	the	the	DET
cana-2083	258	21	recent	recent	ADJ
cana-2083	258	22	general	general	ADJ
cana-2083	258	23	health	health	NOUN
cana-2083	258	24	of	of	ADP
cana-2083	258	25	the	the	DET
cana-2083	258	26	respondents	respondent	NOUN
cana-2083	258	27	using	use	VERB
cana-2083	258	28	ghq-12	ghq-12	NOUN
cana-2083	258	29	,	,	PUNCT
cana-2083	258	30	along	along	ADP
cana-2083	258	31	with	with	ADP
cana-2083	258	32	sdq	sdq	PROPN
cana-2083	258	33	.	.	PUNCT
cana-2083	259	1	communications	communication	NOUN
cana-2083	259	2	on	on	ADP
cana-2083	259	3	applied	apply	VERB
cana-2083	259	4	nonlinear	nonlinear	ADJ
cana-2083	259	5	analysis	analysis	NOUN
cana-2083	259	6	issn	issn	NOUN
cana-2083	259	7	:	:	PUNCT
cana-2083	259	8	1074	1074	NUM
cana-2083	259	9	-	-	PUNCT
cana-2083	259	10	133x	133x	NUM
cana-2083	259	11	vol	vol	NOUN
cana-2083	259	12	32	32	NUM
cana-2083	259	13	no	no	NOUN
cana-2083	259	14	.	.	PUNCT
cana-2083	260	1	1s	1s	NUM
cana-2083	260	2	(	(	PUNCT
cana-2083	260	3	2025	2025	NUM
cana-2083	260	4	)	)	PUNCT
cana-2083	260	5	15	15	NUM
cana-2083	260	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2083	260	7	the	the	DET
cana-2083	260	8	ghq-12	ghq-12	NOUN
cana-2083	260	9	is	be	AUX
cana-2083	260	10	a	a	DET
cana-2083	260	11	questionnaire	questionnaire	NOUN
cana-2083	260	12	which	which	PRON
cana-2083	260	13	is	be	AUX
cana-2083	260	14	used	use	VERB
cana-2083	260	15	to	to	PART
cana-2083	260	16	assess	assess	VERB
cana-2083	260	17	the	the	DET
cana-2083	260	18	recent	recent	ADJ
cana-2083	260	19	general	general	ADJ
cana-2083	260	20	health	health	NOUN
cana-2083	260	21	of	of	ADP
cana-2083	260	22	the	the	DET
cana-2083	260	23	respondents	respondent	NOUN
cana-2083	260	24	(	(	PUNCT
cana-2083	260	25	46	46	NUM
cana-2083	260	26	weeks	week	NOUN
cana-2083	260	27	)	)	PUNCT
cana-2083	260	28	.	.	PUNCT
cana-2083	261	1	the	the	DET
cana-2083	261	2	main	main	ADJ
cana-2083	261	3	components	component	NOUN
cana-2083	261	4	of	of	ADP
cana-2083	261	5	the	the	DET
cana-2083	261	6	questionnaire	questionnaire	NOUN
cana-2083	261	7	are	be	AUX
cana-2083	261	8	social	social	ADJ
cana-2083	261	9	dysfunction	dysfunction	NOUN
cana-2083	261	10	,	,	PUNCT
cana-2083	261	11	depression	depression	NOUN
cana-2083	261	12	and	and	CCONJ
cana-2083	261	13	lack	lack	NOUN
cana-2083	261	14	of	of	ADP
cana-2083	261	15	confidence	confidence	NOUN
cana-2083	261	16	.	.	PUNCT
cana-2083	262	1	on	on	ADP
cana-2083	262	2	the	the	DET
cana-2083	262	3	other	other	ADJ
cana-2083	262	4	hand	hand	NOUN
cana-2083	262	5	,	,	PUNCT
cana-2083	262	6	sdq	sdq	NOUN
cana-2083	262	7	extended	extend	VERB
cana-2083	262	8	version	version	NOUN
cana-2083	262	9	assesses	assesse	NOUN
cana-2083	262	10	strength	strength	NOUN
cana-2083	262	11	(	(	PUNCT
cana-2083	262	12	prosocial	prosocial	ADJ
cana-2083	262	13	behaviour	behaviour	NOUN
cana-2083	262	14	)	)	PUNCT
cana-2083	262	15	,	,	PUNCT
cana-2083	262	16	difficulties	difficulty	NOUN
cana-2083	262	17	(	(	PUNCT
cana-2083	262	18	emotional	emotional	ADJ
cana-2083	262	19	symptoms	symptom	NOUN
cana-2083	262	20	,	,	PUNCT
cana-2083	262	21	conduct	conduct	VERB
cana-2083	262	22	problems	problem	NOUN
cana-2083	262	23	,	,	PUNCT
cana-2083	262	24	hyperactivityinattention	hyperactivityinattention	NOUN
cana-2083	262	25	symptoms	symptom	NOUN
cana-2083	262	26	and	and	CCONJ
cana-2083	262	27	peer	peer	NOUN
cana-2083	262	28	problems	problem	NOUN
cana-2083	262	29	)	)	PUNCT
cana-2083	262	30	and	and	CCONJ
cana-2083	262	31	social	social	ADJ
cana-2083	262	32	dysfunction	dysfunction	NOUN
cana-2083	262	33	(	(	PUNCT
cana-2083	262	34	impact	impact	NOUN
cana-2083	262	35	score	score	NOUN
cana-2083	262	36	)	)	PUNCT
cana-2083	262	37	.	.	PUNCT
cana-2083	263	1	the	the	DET
cana-2083	263	2	correlation	correlation	NOUN
cana-2083	263	3	coefficient	coefficient	NOUN
cana-2083	263	4	between	between	ADP
cana-2083	263	5	the	the	DET
cana-2083	263	6	ghq-12	ghq-12	NOUN
cana-2083	263	7	score	score	NOUN
cana-2083	263	8	and	and	CCONJ
cana-2083	263	9	the	the	DET
cana-2083	263	10	sdq	sdq	NOUN
cana-2083	263	11	difficulty	difficulty	NOUN
cana-2083	263	12	score	score	NOUN
cana-2083	263	13	was	be	AUX
cana-2083	263	14	0.49997	0.49997	NUM
cana-2083	263	15	,	,	PUNCT
cana-2083	263	16	which	which	PRON
cana-2083	263	17	was	be	AUX
cana-2083	263	18	found	find	VERB
cana-2083	263	19	to	to	PART
cana-2083	263	20	be	be	AUX
cana-2083	263	21	significant	significant	ADJ
cana-2083	263	22	with	with	ADP
cana-2083	263	23	p	p	NOUN
cana-2083	263	24	-	-	PUNCT
cana-2083	263	25	value	value	NOUN
cana-2083	263	26	<	<	X
cana-2083	263	27	0.001	0.001	NUM
cana-2083	263	28	.	.	PUNCT
cana-2083	264	1	as	as	SCONJ
cana-2083	264	2	the	the	DET
cana-2083	264	3	responses	response	NOUN
cana-2083	264	4	were	be	AUX
cana-2083	264	5	found	find	VERB
cana-2083	264	6	to	to	PART
cana-2083	264	7	be	be	AUX
cana-2083	264	8	consistent	consistent	ADJ
cana-2083	264	9	,	,	PUNCT
cana-2083	264	10	we	we	PRON
cana-2083	264	11	applied	apply	VERB
cana-2083	264	12	a	a	DET
cana-2083	264	13	parametric	parametric	ADJ
cana-2083	264	14	model	model	NOUN
cana-2083	264	15	to	to	PART
cana-2083	264	16	extract	extract	VERB
cana-2083	264	17	information	information	NOUN
cana-2083	264	18	on	on	ADP
cana-2083	264	19	one	one	NUM
cana-2083	264	20	questionnaire	questionnaire	NOUN
cana-2083	264	21	using	use	VERB
cana-2083	264	22	information	information	NOUN
cana-2083	264	23	from	from	ADP
cana-2083	264	24	the	the	DET
cana-2083	264	25	other	other	ADJ
cana-2083	264	26	.	.	PUNCT
cana-2083	265	1	the	the	DET
cana-2083	265	2	distributions	distribution	NOUN
cana-2083	265	3	of	of	ADP
cana-2083	265	4	the	the	DET
cana-2083	265	5	original	original	ADJ
cana-2083	265	6	(	(	PUNCT
cana-2083	265	7	survey	survey	NOUN
cana-2083	265	8	3	3	NUM
cana-2083	265	9	data	datum	NOUN
cana-2083	265	10	based	base	VERB
cana-2083	265	11	)	)	PUNCT
cana-2083	265	12	ghq	ghq	NOUN
cana-2083	265	13	total	total	NOUN
cana-2083	265	14	and	and	CCONJ
cana-2083	265	15	difficulty	difficulty	NOUN
cana-2083	265	16	score	score	NOUN
cana-2083	265	17	were	be	AUX
cana-2083	265	18	found	find	VERB
cana-2083	265	19	to	to	PART
cana-2083	265	20	be	be	AUX
cana-2083	265	21	weibull	weibull	PROPN
cana-2083	265	22	.	.	PUNCT
cana-2083	266	1	after	after	ADP
cana-2083	266	2	applying	apply	VERB
cana-2083	266	3	power	power	NOUN
cana-2083	266	4	transformations	transformation	NOUN
cana-2083	266	5	to	to	ADP
cana-2083	266	6	these	these	DET
cana-2083	266	7	variables	variable	NOUN
cana-2083	266	8	,	,	PUNCT
cana-2083	266	9	the	the	DET
cana-2083	266	10	transformed	transform	VERB
cana-2083	266	11	variables	variable	NOUN
cana-2083	266	12	were	be	AUX
cana-2083	266	13	normal	normal	ADJ
cana-2083	266	14	,	,	PUNCT
cana-2083	266	15	which	which	PRON
cana-2083	266	16	were	be	AUX
cana-2083	266	17	correlated	correlate	VERB
cana-2083	266	18	as	as	ADV
cana-2083	266	19	well	well	ADV
cana-2083	266	20	.	.	PUNCT
cana-2083	267	1	mardia	mardia	NOUN
cana-2083	267	2	test	test	NOUN
cana-2083	267	3	was	be	AUX
cana-2083	267	4	applied	apply	VERB
cana-2083	267	5	to	to	PART
cana-2083	267	6	test	test	VERB
cana-2083	267	7	the	the	DET
cana-2083	267	8	multivariate	multivariate	NOUN
cana-2083	267	9	normality	normality	NOUN
cana-2083	267	10	of	of	ADP
cana-2083	267	11	the	the	DET
cana-2083	267	12	transformed	transform	VERB
cana-2083	267	13	variables	variable	NOUN
cana-2083	267	14	,	,	PUNCT
cana-2083	267	15	yielding	yield	VERB
cana-2083	267	16	a	a	DET
cana-2083	267	17	p	p	ADJ
cana-2083	267	18	-	-	PUNCT
cana-2083	267	19	value	value	NOUN
cana-2083	267	20	=	=	NOUN
cana-2083	267	21	0.7158	0.7158	NUM
cana-2083	267	22	.	.	PUNCT
cana-2083	268	1	subsequently	subsequently	ADV
cana-2083	268	2	,	,	PUNCT
cana-2083	268	3	a	a	DET
cana-2083	268	4	bivariate	bivariate	ADJ
cana-2083	268	5	normal	normal	ADJ
cana-2083	268	6	distribution	distribution	NOUN
cana-2083	268	7	was	be	AUX
cana-2083	268	8	fitted	fit	VERB
cana-2083	268	9	on	on	ADP
cana-2083	268	10	the	the	DET
cana-2083	268	11	observed	observe	VERB
cana-2083	268	12	data	datum	NOUN
cana-2083	268	13	.	.	PUNCT
cana-2083	269	1	using	use	VERB
cana-2083	269	2	the	the	DET
cana-2083	269	3	fitted	fit	VERB
cana-2083	269	4	model	model	NOUN
cana-2083	269	5	,	,	PUNCT
cana-2083	269	6	we	we	PRON
cana-2083	269	7	estimated	estimate	VERB
cana-2083	269	8	ghq	ghq	NOUN
cana-2083	269	9	scores	score	NOUN
cana-2083	269	10	given	give	VERB
cana-2083	269	11	difficulty	difficulty	NOUN
cana-2083	269	12	scores	score	NOUN
cana-2083	269	13	and	and	CCONJ
cana-2083	269	14	vice	vice	NOUN
cana-2083	269	15	versa	versa	ADV
cana-2083	269	16	.	.	PUNCT
cana-2083	270	1	the	the	DET
cana-2083	270	2	estimated	estimate	VERB
cana-2083	270	3	values	value	NOUN
cana-2083	270	4	were	be	AUX
cana-2083	270	5	compared	compare	VERB
cana-2083	270	6	with	with	ADP
cana-2083	270	7	the	the	DET
cana-2083	270	8	observed	observe	VERB
cana-2083	270	9	values	value	NOUN
cana-2083	270	10	.	.	PUNCT
cana-2083	271	1	the	the	DET
cana-2083	271	2	results	result	NOUN
cana-2083	271	3	obtained	obtain	VERB
cana-2083	271	4	through	through	ADP
cana-2083	271	5	the	the	DET
cana-2083	271	6	model	model	NOUN
cana-2083	271	7	were	be	AUX
cana-2083	271	8	consistent	consistent	ADJ
cana-2083	271	9	with	with	ADP
cana-2083	271	10	the	the	DET
cana-2083	271	11	observed	observed	ADJ
cana-2083	271	12	values	value	NOUN
cana-2083	271	13	.	.	PUNCT
cana-2083	272	1	then	then	ADV
cana-2083	272	2	the	the	DET
cana-2083	272	3	model	model	NOUN
cana-2083	272	4	was	be	AUX
cana-2083	272	5	used	use	VERB
cana-2083	272	6	to	to	PART
cana-2083	272	7	extract	extract	VERB
cana-2083	272	8	the	the	DET
cana-2083	272	9	unknown	unknown	ADJ
cana-2083	272	10	ghq	ghq	NOUN
cana-2083	272	11	total	total	ADJ
cana-2083	272	12	scores	score	NOUN
cana-2083	272	13	of	of	ADP
cana-2083	272	14	the	the	DET
cana-2083	272	15	respondents	respondent	NOUN
cana-2083	272	16	in	in	ADP
cana-2083	272	17	survey	survey	NOUN
cana-2083	272	18	1	1	NUM
cana-2083	272	19	and	and	CCONJ
cana-2083	272	20	survey	survey	NOUN
cana-2083	272	21	2	2	NUM
cana-2083	272	22	(	(	PUNCT
cana-2083	272	23	dataset_2	dataset_2	NOUN
cana-2083	272	24	)	)	PUNCT
cana-2083	272	25	from	from	ADP
cana-2083	272	26	the	the	DET
cana-2083	272	27	observed	observe	VERB
cana-2083	272	28	difficulty	difficulty	NOUN
cana-2083	272	29	scores	score	NOUN
cana-2083	272	30	.	.	PUNCT
cana-2083	273	1	when	when	SCONJ
cana-2083	273	2	the	the	DET
cana-2083	273	3	results	result	NOUN
cana-2083	273	4	of	of	ADP
cana-2083	273	5	the	the	DET
cana-2083	273	6	model	model	NOUN
cana-2083	273	7	were	be	AUX
cana-2083	273	8	applied	apply	VERB
cana-2083	273	9	on	on	ADP
cana-2083	273	10	162	162	NUM
cana-2083	273	11	respondents	respondent	NOUN
cana-2083	273	12	who	who	PRON
cana-2083	273	13	had	have	AUX
cana-2083	273	14	participated	participate	VERB
cana-2083	273	15	in	in	ADP
cana-2083	273	16	all	all	DET
cana-2083	273	17	the	the	DET
cana-2083	273	18	three	three	NUM
cana-2083	273	19	surveys	survey	NOUN
cana-2083	273	20	,	,	PUNCT
cana-2083	273	21	it	it	PRON
cana-2083	273	22	was	be	AUX
cana-2083	273	23	found	find	VERB
cana-2083	273	24	that	that	SCONJ
cana-2083	273	25	64	64	NUM
cana-2083	273	26	respondents	respondent	NOUN
cana-2083	273	27	were	be	AUX
cana-2083	273	28	at	at	ADP
cana-2083	273	29	advance	advance	NOUN
cana-2083	273	30	level	level	NOUN
cana-2083	273	31	of	of	ADP
cana-2083	273	32	both	both	CCONJ
cana-2083	273	33	the	the	DET
cana-2083	273	34	difficulty	difficulty	NOUN
cana-2083	273	35	score	score	NOUN
cana-2083	273	36	and	and	CCONJ
cana-2083	273	37	ghq	ghq	VERB
cana-2083	273	38	total	total	NOUN
cana-2083	273	39	at	at	ADP
cana-2083	273	40	the	the	DET
cana-2083	273	41	time	time	NOUN
cana-2083	273	42	of	of	ADP
cana-2083	273	43	survey	survey	NOUN
cana-2083	273	44	3	3	NUM
cana-2083	273	45	.	.	PUNCT
cana-2083	274	1	the	the	DET
cana-2083	274	2	model	model	NOUN
cana-2083	274	3	was	be	AUX
cana-2083	274	4	then	then	ADV
cana-2083	274	5	applied	apply	VERB
cana-2083	274	6	on	on	ADP
cana-2083	274	7	surveys	survey	NOUN
cana-2083	274	8	1&2	1&2	NUM
cana-2083	274	9	data	datum	NOUN
cana-2083	274	10	for	for	ADP
cana-2083	274	11	these	these	DET
cana-2083	274	12	respondents	respondent	NOUN
cana-2083	274	13	to	to	PART
cana-2083	274	14	estimate	estimate	VERB
cana-2083	274	15	their	their	PRON
cana-2083	274	16	then	then	ADV
cana-2083	274	17	recent	recent	ADJ
cana-2083	274	18	health	health	NOUN
cana-2083	274	19	(	(	PUNCT
cana-2083	274	20	based	base	VERB
cana-2083	274	21	on	on	ADP
cana-2083	274	22	estimated	estimate	VERB
cana-2083	274	23	ghq	ghq	NOUN
cana-2083	274	24	total	total	NOUN
cana-2083	274	25	)	)	PUNCT
cana-2083	274	26	.	.	PUNCT
cana-2083	275	1	out	out	ADP
cana-2083	275	2	of	of	ADP
cana-2083	275	3	these	these	DET
cana-2083	275	4	64	64	NUM
cana-2083	275	5	respondents	respondent	NOUN
cana-2083	275	6	(	(	PUNCT
cana-2083	275	7	having	have	VERB
cana-2083	275	8	higher	high	ADJ
cana-2083	275	9	ghq	ghq	VERB
cana-2083	275	10	total	total	NOUN
cana-2083	275	11	in	in	ADP
cana-2083	275	12	survey	survey	NOUN
cana-2083	275	13	3	3	NUM
cana-2083	275	14	)	)	PUNCT
cana-2083	275	15	,	,	PUNCT
cana-2083	275	16	the	the	DET
cana-2083	275	17	model	model	NOUN
cana-2083	275	18	estimated	estimate	VERB
cana-2083	275	19	that	that	SCONJ
cana-2083	275	20	55	55	NUM
cana-2083	275	21	had	have	VERB
cana-2083	275	22	higher	high	ADJ
cana-2083	275	23	ghq	ghq	NOUN
cana-2083	275	24	total	total	NOUN
cana-2083	275	25	at	at	ADP
cana-2083	275	26	the	the	DET
cana-2083	275	27	times	time	NOUN
cana-2083	275	28	of	of	ADP
cana-2083	275	29	surveys	survey	NOUN
cana-2083	275	30	1&2	1&2	X
cana-2083	275	31	also	also	ADV
cana-2083	275	32	.	.	PUNCT
cana-2083	276	1	5	5	X
cana-2083	276	2	.	.	X
cana-2083	276	3	conclusion	conclusion	NOUN
cana-2083	276	4	the	the	DET
cana-2083	276	5	results	result	NOUN
cana-2083	276	6	suggest	suggest	VERB
cana-2083	276	7	that	that	SCONJ
cana-2083	276	8	whenever	whenever	SCONJ
cana-2083	276	9	the	the	DET
cana-2083	276	10	assumptions	assumption	NOUN
cana-2083	276	11	of	of	ADP
cana-2083	276	12	the	the	DET
cana-2083	276	13	multivariate	multivariate	NOUN
cana-2083	276	14	normal	normal	ADJ
cana-2083	276	15	model	model	NOUN
cana-2083	276	16	are	be	AUX
cana-2083	276	17	met	meet	VERB
cana-2083	276	18	(	(	PUNCT
cana-2083	276	19	irrespective	irrespective	ADV
cana-2083	276	20	of	of	ADP
cana-2083	276	21	the	the	DET
cana-2083	276	22	distribution(s	distribution(s	NOUN
cana-2083	276	23	)	)	PUNCT
cana-2083	276	24	of	of	ADP
cana-2083	276	25	original	original	ADJ
cana-2083	276	26	variables	variable	NOUN
cana-2083	276	27	)	)	PUNCT
cana-2083	276	28	,	,	PUNCT
cana-2083	276	29	the	the	DET
cana-2083	276	30	model	model	NOUN
cana-2083	276	31	can	can	AUX
cana-2083	276	32	be	be	AUX
cana-2083	276	33	used	use	VERB
cana-2083	276	34	to	to	PART
cana-2083	276	35	extract	extract	VERB
cana-2083	276	36	information	information	NOUN
cana-2083	276	37	on	on	ADP
cana-2083	276	38	one	one	NUM
cana-2083	276	39	variable	variable	NOUN
cana-2083	276	40	from	from	ADP
cana-2083	276	41	the	the	DET
cana-2083	276	42	other	other	ADJ
cana-2083	276	43	(	(	PUNCT
cana-2083	276	44	grover	grover	PROPN
cana-2083	276	45	et	et	PROPN
cana-2083	276	46	al	al	PROPN
cana-2083	276	47	.	.	PROPN
cana-2083	276	48	,	,	PUNCT
cana-2083	276	49	2014	2014	NUM
cana-2083	276	50	;	;	PUNCT
cana-2083	276	51	grover	grover	PROPN
cana-2083	276	52	et	et	PROPN
cana-2083	276	53	al	al	PROPN
cana-2083	276	54	.	.	PROPN
cana-2083	276	55	,	,	PUNCT
cana-2083	276	56	2015	2015	NUM
cana-2083	276	57	)	)	PUNCT
cana-2083	276	58	.	.	PUNCT
cana-2083	277	1	in	in	ADP
cana-2083	277	2	medical	medical	ADJ
cana-2083	277	3	field	field	NOUN
cana-2083	277	4	,	,	PUNCT
cana-2083	277	5	the	the	DET
cana-2083	277	6	missing	missing	ADJ
cana-2083	277	7	or	or	CCONJ
cana-2083	277	8	incomplete	incomplete	ADJ
cana-2083	277	9	observations	observation	NOUN
cana-2083	277	10	are	be	AUX
cana-2083	277	11	very	very	ADV
cana-2083	277	12	frequent	frequent	ADJ
cana-2083	277	13	.	.	PUNCT
cana-2083	278	1	the	the	DET
cana-2083	278	2	above	above	ADJ
cana-2083	278	3	model	model	NOUN
cana-2083	278	4	can	can	AUX
cana-2083	278	5	be	be	AUX
cana-2083	278	6	applied	apply	VERB
cana-2083	278	7	in	in	ADP
cana-2083	278	8	these	these	DET
cana-2083	278	9	circumstances	circumstance	NOUN
cana-2083	278	10	to	to	PART
cana-2083	278	11	explore	explore	VERB
cana-2083	278	12	and	and	CCONJ
cana-2083	278	13	extract	extract	VERB
cana-2083	278	14	the	the	DET
cana-2083	278	15	missing	miss	VERB
cana-2083	278	16	observations	observation	NOUN
cana-2083	278	17	.	.	PUNCT
cana-2083	279	1	reference	reference	NOUN
cana-2083	279	2	[	[	X
cana-2083	279	3	1	1	NUM
cana-2083	279	4	]	]	X
cana-2083	279	5	johnson	johnson	PROPN
cana-2083	279	6	,	,	PUNCT
cana-2083	279	7	n.	n.	PROPN
cana-2083	279	8	l.	l.	PROPN
cana-2083	279	9	,	,	PUNCT
cana-2083	279	10	and	and	CCONJ
cana-2083	279	11	kotz	kotz	PROPN
cana-2083	279	12	,	,	PUNCT
cana-2083	279	13	s.	s.	PROPN
cana-2083	279	14	,	,	PUNCT
cana-2083	279	15	distributions	distribution	NOUN
cana-2083	279	16	in	in	ADP
cana-2083	279	17	statistics	statistic	NOUN
cana-2083	279	18	:	:	PUNCT
cana-2083	279	19	continuous	continuous	ADJ
cana-2083	279	20	multivariate	multivariate	NOUN
cana-2083	279	21	distributions	distribution	NOUN
cana-2083	279	22	,	,	PUNCT
cana-2083	279	23	john	john	PROPN
cana-2083	279	24	wiley	wiley	PROPN
cana-2083	279	25	&	&	CCONJ
cana-2083	279	26	sons	son	NOUN
cana-2083	279	27	,	,	PUNCT
cana-2083	279	28	new	new	PROPN
cana-2083	279	29	york	york	PROPN
cana-2083	279	30	,	,	PUNCT
cana-2083	279	31	1972	1972	NUM
cana-2083	279	32	.	.	PUNCT
cana-2083	280	1	[	[	X
cana-2083	280	2	2	2	NUM
cana-2083	280	3	]	]	X
cana-2083	280	4	khattree	khattree	PROPN
cana-2083	280	5	,	,	PUNCT
cana-2083	280	6	r.	r.	PROPN
cana-2083	280	7	,	,	PUNCT
cana-2083	280	8	&	&	CCONJ
cana-2083	280	9	naik	naik	PROPN
cana-2083	280	10	,	,	PUNCT
cana-2083	280	11	d.	d.	PROPN
cana-2083	280	12	n.	n.	PROPN
cana-2083	280	13	(	(	PUNCT
cana-2083	280	14	2000	2000	NUM
cana-2083	280	15	)	)	PUNCT
cana-2083	280	16	.	.	PUNCT
cana-2083	281	1	multivariate	multivariate	NOUN
cana-2083	281	2	data	datum	NOUN
cana-2083	281	3	reduction	reduction	NOUN
cana-2083	281	4	and	and	CCONJ
cana-2083	281	5	discrimination	discrimination	NOUN
cana-2083	281	6	with	with	ADP
cana-2083	281	7	sas	sas	PROPN
cana-2083	281	8	software	software	PROPN
cana-2083	281	9	.	.	PUNCT
cana-2083	282	1	wiley	wiley	PROPN
cana-2083	282	2	-	-	PUNCT
cana-2083	282	3	sas	sas	PROPN
cana-2083	282	4	.	.	PUNCT
cana-2083	283	1	[	[	X
cana-2083	283	2	3	3	NUM
cana-2083	283	3	]	]	X
cana-2083	283	4	lindsey	lindsey	NOUN
cana-2083	283	5	,	,	PUNCT
cana-2083	283	6	j.	j.	PROPN
cana-2083	283	7	k.	k.	PROPN
cana-2083	283	8	(	(	PUNCT
cana-2083	283	9	2000	2000	NUM
cana-2083	283	10	)	)	PUNCT
cana-2083	283	11	.	.	PUNCT
cana-2083	284	1	applying	apply	VERB
cana-2083	284	2	generalized	generalized	ADJ
cana-2083	284	3	linear	linear	ADJ
cana-2083	284	4	models	model	NOUN
cana-2083	284	5	.	.	PUNCT
cana-2083	285	1	springer	springer	NOUN
cana-2083	285	2	science	science	PROPN
cana-2083	285	3	&	&	CCONJ
cana-2083	285	4	business	business	NOUN
cana-2083	285	5	media	medium	NOUN
cana-2083	285	6	.	.	PUNCT
cana-2083	286	1	[	[	X
cana-2083	286	2	4	4	NUM
cana-2083	286	3	]	]	X
cana-2083	286	4	chi	chi	X
cana-2083	286	5	,	,	PUNCT
cana-2083	286	6	y.	y.	PROPN
cana-2083	286	7	y.	y.	PROPN
cana-2083	286	8	(	(	PUNCT
cana-2083	286	9	2012	2012	NUM
cana-2083	286	10	)	)	PUNCT
cana-2083	286	11	.	.	PUNCT
cana-2083	287	1	multivariate	multivariate	NOUN
cana-2083	287	2	methods	method	NOUN
cana-2083	287	3	.	.	PUNCT
cana-2083	288	1	wiley	wiley	PROPN
cana-2083	288	2	interdisciplinary	interdisciplinary	ADJ
cana-2083	288	3	reviews	review	NOUN
cana-2083	288	4	:	:	PUNCT
cana-2083	288	5	computational	computational	ADJ
cana-2083	288	6	statistics	statistic	NOUN
cana-2083	288	7	,	,	PUNCT
cana-2083	288	8	4(1	4(1	NOUN
cana-2083	288	9	)	)	PUNCT
cana-2083	288	10	,	,	PUNCT
cana-2083	288	11	35	35	NUM
cana-2083	288	12	-	-	SYM
cana-2083	288	13	47	47	NUM
cana-2083	288	14	.	.	PUNCT
cana-2083	289	1	[	[	X
cana-2083	289	2	5	5	NUM
cana-2083	289	3	]	]	X
cana-2083	289	4	lipow	lipow	NOUN
cana-2083	289	5	,	,	PUNCT
cana-2083	289	6	m.	m.	NOUN
cana-2083	289	7	,	,	PUNCT
cana-2083	289	8	and	and	CCONJ
cana-2083	289	9	eidemiller	eidemiller	PROPN
cana-2083	289	10	,	,	PUNCT
cana-2083	289	11	r.l	r.l	PROPN
cana-2083	289	12	.	.	PROPN
cana-2083	289	13	,	,	PUNCT
cana-2083	289	14	1964	1964	NUM
cana-2083	289	15	.	.	PUNCT
cana-2083	290	1	application	application	NOUN
cana-2083	290	2	of	of	ADP
cana-2083	290	3	the	the	DET
cana-2083	290	4	bivariate	bivariate	ADJ
cana-2083	290	5	normal	normal	ADJ
cana-2083	290	6	distribution	distribution	NOUN
cana-2083	290	7	to	to	ADP
cana-2083	290	8	a	a	DET
cana-2083	290	9	stress	stress	NOUN
cana-2083	290	10	vs	vs	ADP
cana-2083	290	11	strength	strength	NOUN
cana-2083	290	12	problem	problem	NOUN
cana-2083	290	13	in	in	ADP
cana-2083	290	14	reliability	reliability	NOUN
cana-2083	290	15	analysis	analysis	NOUN
cana-2083	290	16	.	.	PUNCT
cana-2083	291	1	technometrics	technometric	NOUN
cana-2083	291	2	,	,	PUNCT
cana-2083	291	3	6(3	6(3	NUM
cana-2083	291	4	)	)	PUNCT
cana-2083	291	5	,	,	PUNCT
cana-2083	291	6	325	325	NUM
cana-2083	291	7	-	-	SYM
cana-2083	291	8	328	328	NUM
cana-2083	291	9	.	.	PUNCT
cana-2083	292	1	http://www.jstor.org/stable/1266043	http://www.jstor.org/stable/1266043	NOUN
cana-2083	292	2	.	.	PUNCT
cana-2083	293	1	[	[	X
cana-2083	293	2	6	6	NUM
cana-2083	293	3	]	]	X
cana-2083	293	4	yue	yue	PROPN
cana-2083	293	5	,	,	PUNCT
cana-2083	293	6	s.	s.	PROPN
cana-2083	293	7	,	,	PUNCT
cana-2083	293	8	1999	1999	NUM
cana-2083	293	9	.	.	PUNCT
cana-2083	294	1	applying	apply	VERB
cana-2083	294	2	bivariate	bivariate	ADJ
cana-2083	294	3	normal	normal	ADJ
cana-2083	294	4	distribution	distribution	NOUN
cana-2083	294	5	to	to	ADP
cana-2083	294	6	flood	flood	NOUN
cana-2083	294	7	frequency	frequency	NOUN
cana-2083	294	8	analysis	analysis	NOUN
cana-2083	294	9	.	.	PUNCT
cana-2083	295	1	water	water	NOUN
cana-2083	295	2	international	international	PROPN
cana-2083	295	3	,	,	PUNCT
cana-2083	295	4	24(3	24(3	NUM
cana-2083	295	5	,	,	PUNCT
cana-2083	295	6	248254	248254	NUM
cana-2083	295	7	.	.	PUNCT
cana-2083	296	1	http://dx.doi.org/10.1080/02508069908692168	http://dx.doi.org/10.1080/02508069908692168	NOUN
cana-2083	296	2	.	.	PUNCT
cana-2083	297	1	[	[	X
cana-2083	297	2	7	7	NUM
cana-2083	297	3	]	]	X
cana-2083	297	4	grover	grover	NOUN
cana-2083	297	5	,	,	PUNCT
cana-2083	297	6	g.	g.	PROPN
cana-2083	297	7	,	,	PUNCT
cana-2083	297	8	sabharwal	sabharwal	PROPN
cana-2083	297	9	,	,	PUNCT
cana-2083	297	10	a.	a.	NOUN
cana-2083	297	11	,	,	PUNCT
cana-2083	297	12	&	&	CCONJ
cana-2083	297	13	mittal	mittal	PROPN
cana-2083	297	14	,	,	PUNCT
cana-2083	297	15	j.	j.	PROPN
cana-2083	297	16	(	(	PUNCT
cana-2083	297	17	2014	2014	NUM
cana-2083	297	18	)	)	PUNCT
cana-2083	297	19	.	.	PUNCT
cana-2083	298	1	application	application	NOUN
cana-2083	298	2	of	of	ADP
cana-2083	298	3	multivariate	multivariate	NOUN
cana-2083	298	4	and	and	CCONJ
cana-2083	298	5	bivariate	bivariate	ADJ
cana-2083	298	6	normal	normal	ADJ
cana-2083	298	7	distributions	distribution	NOUN
cana-2083	298	8	to	to	PART
cana-2083	298	9	estimate	estimate	VERB
cana-2083	298	10	duration	duration	NOUN
cana-2083	298	11	of	of	ADP
cana-2083	298	12	diabetes	diabetes	NOUN
cana-2083	298	13	.	.	PUNCT
cana-2083	299	1	international	international	ADJ
cana-2083	299	2	journal	journal	PROPN
cana-2083	299	3	of	of	ADP
cana-2083	299	4	statistics	statistic	NOUN
cana-2083	299	5	and	and	CCONJ
cana-2083	299	6	applications	application	NOUN
cana-2083	299	7	,	,	PUNCT
cana-2083	299	8	4(1	4(1	NOUN
cana-2083	299	9	)	)	PUNCT
cana-2083	299	10	,	,	PUNCT
cana-2083	299	11	46–57	46–57	NUM
cana-2083	299	12	.	.	PUNCT
cana-2083	300	1	http://www.sapub.org/global/showpaperpdf.aspx?doi=10.5923/j.statistics.20140401.05	http://www.sapub.org/global/showpaperpdf.aspx?doi=10.5923/j.statistics.20140401.05	NOUN
cana-2083	300	2	.	.	PUNCT
cana-2083	301	1	[	[	X
cana-2083	301	2	8	8	NUM
cana-2083	301	3	]	]	X
cana-2083	301	4	grover	grover	NOUN
cana-2083	301	5	,	,	PUNCT
cana-2083	301	6	g.	g.	PROPN
cana-2083	301	7	,	,	PUNCT
cana-2083	301	8	sabharwal	sabharwal	PROPN
cana-2083	301	9	,	,	PUNCT
cana-2083	301	10	a.	a.	NOUN
cana-2083	301	11	,	,	PUNCT
cana-2083	301	12	&	&	CCONJ
cana-2083	301	13	kaushik	kaushik	PROPN
cana-2083	301	14	,	,	PUNCT
cana-2083	301	15	s.	s.	PROPN
cana-2083	301	16	(	(	PUNCT
cana-2083	301	17	2015	2015	NUM
cana-2083	301	18	)	)	PUNCT
cana-2083	301	19	.	.	PUNCT
cana-2083	302	1	estimating	estimate	VERB
cana-2083	302	2	length	length	NOUN
cana-2083	302	3	of	of	ADP
cana-2083	302	4	stay	stay	NOUN
cana-2083	302	5	and	and	CCONJ
cana-2083	302	6	duration	duration	NOUN
cana-2083	302	7	of	of	ADP
cana-2083	302	8	illness	illness	NOUN
cana-2083	302	9	for	for	ADP
cana-2083	302	10	psychiatric	psychiatric	ADJ
cana-2083	302	11	inpatients	inpatient	NOUN
cana-2083	302	12	using	use	VERB
cana-2083	302	13	multivariate	multivariate	NOUN
cana-2083	302	14	modelling	modelling	NOUN
cana-2083	302	15	.	.	PUNCT
cana-2083	303	1	american	american	ADJ
cana-2083	303	2	journal	journal	PROPN
cana-2083	303	3	of	of	ADP
cana-2083	303	4	mathematics	mathematics	PROPN
cana-2083	303	5	and	and	CCONJ
cana-2083	303	6	statistics	statistic	NOUN
cana-2083	303	7	,	,	PUNCT
cana-2083	303	8	5(6	5(6	NUM
cana-2083	303	9	)	)	PUNCT
cana-2083	303	10	,	,	PUNCT
cana-2083	303	11	329–353	329–353	PROPN
cana-2083	303	12	.	.	PUNCT
cana-2083	303	13	doi=10.5923	doi=10.5923	PROPN
cana-2083	303	14	/	/	SYM
cana-2083	303	15	j.ajms.20150506.02	j.ajms.20150506.02	PROPN
cana-2083	304	1	[	[	X
cana-2083	304	2	9	9	NUM
cana-2083	304	3	]	]	SYM
cana-2083	304	4	goldberg	goldberg	PROPN
cana-2083	304	5	,	,	PUNCT
cana-2083	304	6	d.p	d.p	PROPN
cana-2083	304	7	.	.	PROPN
cana-2083	304	8	&	&	CCONJ
cana-2083	304	9	hillier	hilli	ADJ
cana-2083	304	10	,	,	PUNCT
cana-2083	304	11	v.f	v.f	PROPN
cana-2083	304	12	.	.	PROPN
cana-2083	304	13	(	(	PUNCT
cana-2083	304	14	1979	1979	NUM
cana-2083	304	15	)	)	PUNCT
cana-2083	304	16	.	.	PUNCT
cana-2083	305	1	a	a	DET
cana-2083	305	2	scaled	scale	VERB
cana-2083	305	3	version	version	NOUN
cana-2083	305	4	of	of	ADP
cana-2083	305	5	the	the	DET
cana-2083	305	6	general	general	ADJ
cana-2083	305	7	health	health	NOUN
cana-2083	305	8	questionnaire	questionnaire	NOUN
cana-2083	305	9	.	.	PUNCT
cana-2083	306	1	psychological	psychological	ADJ
cana-2083	306	2	medicine	medicine	NOUN
cana-2083	306	3	,	,	PUNCT
cana-2083	306	4	9	9	NUM
cana-2083	306	5	,	,	PUNCT
cana-2083	306	6	139	139	NUM
cana-2083	306	7	-	-	SYM
cana-2083	306	8	45	45	NUM
cana-2083	306	9	.	.	PUNCT
cana-2083	307	1	[	[	X
cana-2083	307	2	10	10	NUM
cana-2083	307	3	]	]	X
cana-2083	307	4	goodman	goodman	PROPN
cana-2083	307	5	,	,	PUNCT
cana-2083	307	6	r.	r.	PROPN
cana-2083	307	7	(	(	PUNCT
cana-2083	307	8	1997	1997	NUM
cana-2083	307	9	)	)	PUNCT
cana-2083	307	10	.	.	PUNCT
cana-2083	308	1	the	the	DET
cana-2083	308	2	strengths	strength	NOUN
cana-2083	308	3	and	and	CCONJ
cana-2083	308	4	difficulties	difficulty	NOUN
cana-2083	308	5	questionnaire	questionnaire	NOUN
cana-2083	308	6	:	:	PUNCT
cana-2083	308	7	a	a	DET
cana-2083	308	8	research	research	NOUN
cana-2083	308	9	note	note	NOUN
cana-2083	308	10	.	.	PUNCT
cana-2083	309	1	journal	journal	PROPN
cana-2083	309	2	of	of	ADP
cana-2083	309	3	child	child	NOUN
cana-2083	309	4	psychology	psychology	NOUN
cana-2083	309	5	and	and	CCONJ
cana-2083	309	6	psychiatry	psychiatry	NOUN
cana-2083	309	7	,	,	PUNCT
cana-2083	309	8	38(5	38(5	NUM
cana-2083	309	9	)	)	PUNCT
cana-2083	309	10	,	,	PUNCT
cana-2083	309	11	581–586	581–586	NUM
cana-2083	309	12	.	.	PUNCT
cana-2083	310	1	https://doi.org/10.1111/j.1469-7610.1997.tb01545.x	https://doi.org/10.1111/j.1469-7610.1997.tb01545.x	PROPN
cana-2083	310	2	http://www.jstor.org/stable/1266043	http://www.jstor.org/stable/1266043	NOUN
cana-2083	310	3	http://dx.doi.org/10.1080/02508069908692168	http://dx.doi.org/10.1080/02508069908692168	NOUN
cana-2083	310	4	http://www.sapub.org/global/showpaperpdf.aspx?doi=10.5923/j.statistics.20140401.05	http://www.sapub.org/global/showpaperpdf.aspx?doi=10.5923/j.statistics.20140401.05	NOUN
cana-2083	310	5	communications	communication	NOUN
cana-2083	310	6	on	on	ADP
cana-2083	310	7	applied	apply	VERB
cana-2083	310	8	nonlinear	nonlinear	ADJ
cana-2083	310	9	analysis	analysis	NOUN
cana-2083	310	10	issn	issn	NOUN
cana-2083	310	11	:	:	PUNCT
cana-2083	310	12	1074	1074	NUM
cana-2083	310	13	-	-	PUNCT
cana-2083	310	14	133x	133x	NUM
cana-2083	310	15	vol	vol	NOUN
cana-2083	310	16	32	32	NUM
cana-2083	310	17	no	no	NOUN
cana-2083	310	18	.	.	PUNCT
cana-2083	311	1	1s	1s	NUM
cana-2083	311	2	(	(	PUNCT
cana-2083	311	3	2025	2025	NUM
cana-2083	311	4	)	)	PUNCT
cana-2083	311	5	16	16	NUM
cana-2083	311	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2083	312	1	[	[	X
cana-2083	312	2	11	11	NUM
cana-2083	312	3	]	]	X
cana-2083	312	4	goodman	goodman	PROPN
cana-2083	312	5	,	,	PUNCT
cana-2083	312	6	r.	r.	PROPN
cana-2083	312	7	(	(	PUNCT
cana-2083	312	8	1999	1999	NUM
cana-2083	312	9	)	)	PUNCT
cana-2083	312	10	.	.	PUNCT
cana-2083	313	1	the	the	DET
cana-2083	313	2	extended	extended	ADJ
cana-2083	313	3	version	version	NOUN
cana-2083	313	4	of	of	ADP
cana-2083	313	5	the	the	DET
cana-2083	313	6	strengths	strength	NOUN
cana-2083	313	7	and	and	CCONJ
cana-2083	313	8	difficulties	difficulty	NOUN
cana-2083	313	9	questionnaire	questionnaire	NOUN
cana-2083	313	10	as	as	ADP
cana-2083	313	11	a	a	DET
cana-2083	313	12	guide	guide	NOUN
cana-2083	313	13	to	to	ADP
cana-2083	313	14	child	child	NOUN
cana-2083	313	15	psychiatric	psychiatric	ADJ
cana-2083	313	16	caseness	caseness	NOUN
cana-2083	313	17	and	and	CCONJ
cana-2083	313	18	consequent	consequent	ADJ
cana-2083	313	19	burden	burden	NOUN
cana-2083	313	20	.	.	PUNCT
cana-2083	314	1	journal	journal	NOUN
cana-2083	314	2	of	of	ADP
cana-2083	314	3	child	child	NOUN
cana-2083	314	4	psychology	psychology	NOUN
cana-2083	314	5	and	and	CCONJ
cana-2083	314	6	psychiatry	psychiatry	NOUN
cana-2083	314	7	,	,	PUNCT
cana-2083	314	8	40(5	40(5	NOUN
cana-2083	314	9	)	)	PUNCT
cana-2083	314	10	,	,	PUNCT
cana-2083	314	11	791–799	791–799	NUM
cana-2083	314	12	.	.	PUNCT
cana-2083	315	1	https://doi.org/10.1111/1469-7610.00494	https://doi.org/10.1111/1469-7610.00494	NOUN
cana-2083	316	1	[	[	X
cana-2083	316	2	12	12	NUM
cana-2083	316	3	]	]	X
cana-2083	316	4	goyal	goyal	PROPN
cana-2083	316	5	b	b	PROPN
cana-2083	316	6	,	,	PUNCT
cana-2083	316	7	sabharwal	sabharwal	PROPN
cana-2083	316	8	a	a	NOUN
cana-2083	316	9	,	,	PUNCT
cana-2083	316	10	chauhan	chauhan	PROPN
cana-2083	316	11	v	v	PROPN
cana-2083	316	12	,	,	PUNCT
cana-2083	316	13	&	&	CCONJ
cana-2083	316	14	joshi	joshi	PROPN
cana-2083	316	15	,	,	PUNCT
cana-2083	316	16	lm	lm	INTJ
cana-2083	316	17	(	(	PUNCT
cana-2083	316	18	2023	2023	NUM
cana-2083	316	19	)	)	PUNCT
cana-2083	316	20	.	.	PUNCT
cana-2083	317	1	psychological	psychological	ADJ
cana-2083	317	2	health	health	NOUN
cana-2083	317	3	of	of	ADP
cana-2083	317	4	indian	indian	ADJ
cana-2083	317	5	youth	youth	NOUN
cana-2083	317	6	during	during	ADP
cana-2083	317	7	covid-19	covid-19	PROPN
cana-2083	317	8	:	:	PUNCT
cana-2083	317	9	a	a	DET
cana-2083	317	10	study	study	NOUN
cana-2083	317	11	through	through	ADP
cana-2083	317	12	three	three	NUM
cana-2083	317	13	chronological	chronological	ADJ
cana-2083	317	14	surveys	survey	NOUN
cana-2083	317	15	.	.	PUNCT
cana-2083	318	1	international	international	ADJ
cana-2083	318	2	journal	journal	NOUN
cana-2083	318	3	of	of	ADP
cana-2083	318	4	public	public	ADJ
cana-2083	318	5	health	health	NOUN
cana-2083	318	6	,	,	PUNCT
cana-2083	318	7	12(2	12(2	NUM
cana-2083	318	8	)	)	PUNCT
cana-2083	318	9	,	,	PUNCT
cana-2083	318	10	752	752	NUM
cana-2083	318	11	-	-	SYM
cana-2083	318	12	763	763	NUM
cana-2083	318	13	.	.	PUNCT
cana-2083	319	1	[	[	X
cana-2083	319	2	13	13	NUM
cana-2083	319	3	]	]	SYM
cana-2083	319	4	sabharwal	sabharwal	NOUN
cana-2083	319	5	,	,	PUNCT
cana-2083	319	6	a.	a.	NOUN
cana-2083	319	7	,	,	PUNCT
cana-2083	319	8	goyal	goyal	PROPN
cana-2083	319	9	,	,	PUNCT
cana-2083	319	10	b.	b.	PROPN
cana-2083	319	11	,	,	PUNCT
cana-2083	319	12	chauhan	chauhan	PROPN
cana-2083	319	13	,	,	PUNCT
cana-2083	319	14	v.	v.	PROPN
cana-2083	319	15	s.	s.	PROPN
cana-2083	319	16	,	,	PUNCT
cana-2083	319	17	joshi	joshi	PROPN
cana-2083	319	18	,	,	PUNCT
cana-2083	319	19	l.	l.	PROPN
cana-2083	319	20	m.	m.	PROPN
cana-2083	319	21	,	,	PUNCT
cana-2083	319	22	&	&	CCONJ
cana-2083	319	23	goyal	goyal	PROPN
cana-2083	319	24	,	,	PUNCT
cana-2083	319	25	v.	v.	PROPN
cana-2083	319	26	(	(	PUNCT
cana-2083	319	27	2023	2023	NUM
cana-2083	319	28	)	)	PUNCT
cana-2083	319	29	.	.	PUNCT
cana-2083	320	1	evaluating	evaluate	VERB
cana-2083	320	2	the	the	DET
cana-2083	320	3	effect	effect	NOUN
cana-2083	320	4	of	of	ADP
cana-2083	320	5	covid-19	covid-19	PROPN
cana-2083	320	6	pandemic	pandemic	ADJ
cana-2083	320	7	on	on	ADP
cana-2083	320	8	the	the	DET
cana-2083	320	9	psychological	psychological	ADJ
cana-2083	320	10	health	health	NOUN
cana-2083	320	11	of	of	ADP
cana-2083	320	12	young	young	ADJ
cana-2083	320	13	adults	adult	NOUN
cana-2083	320	14	in	in	ADP
cana-2083	320	15	india	india	PROPN
cana-2083	320	16	.	.	PUNCT
cana-2083	321	1	international	international	ADJ
cana-2083	321	2	journal	journal	PROPN
cana-2083	321	3	of	of	ADP
cana-2083	321	4	public	public	ADJ
cana-2083	321	5	health	health	NOUN
cana-2083	321	6	science	science	NOUN
cana-2083	321	7	(	(	PUNCT
cana-2083	321	8	ijphs	ijphs	PROPN
cana-2083	321	9	)	)	PUNCT
cana-2083	321	10	,	,	PUNCT
cana-2083	321	11	12(1	12(1	NUM
cana-2083	321	12	)	)	PUNCT
cana-2083	321	13	,	,	PUNCT
cana-2083	321	14	311	311	NUM
cana-2083	321	15	.	.	PUNCT
cana-2083	321	16	https://doi.org/10.11591/ijphs.v12i1.21527	https://doi.org/10.11591/ijphs.v12i1.21527	PUNCT
cana-2083	322	1	[	[	X
cana-2083	322	2	14	14	NUM
cana-2083	322	3	]	]	X
cana-2083	322	4	goldberg	goldberg	PROPN
cana-2083	322	5	,	,	PUNCT
cana-2083	322	6	d.	d.	PROPN
cana-2083	322	7	(	(	PUNCT
cana-2083	322	8	1979	1979	NUM
cana-2083	322	9	)	)	PUNCT
cana-2083	322	10	.	.	PUNCT
cana-2083	323	1	ghq	ghq	VERB
cana-2083	323	2	and	and	CCONJ
cana-2083	323	3	psychiatric	psychiatric	ADJ
cana-2083	323	4	case	case	NOUN
cana-2083	323	5	.	.	PUNCT
cana-2083	324	1	the	the	DET
cana-2083	324	2	british	british	PROPN
cana-2083	324	3	journal	journal	PROPN
cana-2083	324	4	of	of	ADP
cana-2083	324	5	psychiatry	psychiatry	NOUN
cana-2083	324	6	,	,	PUNCT
cana-2083	324	7	134(4	134(4	NUM
cana-2083	324	8	)	)	PUNCT
cana-2083	324	9	,	,	PUNCT
cana-2083	324	10	446–447	446–447	NUM
cana-2083	324	11	.	.	PUNCT
cana-2083	324	12	https://doi.org/10.1192/bjp.134.4.446b	https://doi.org/10.1192/bjp.134.4.446b	PROPN
cana-2083	325	1	[	[	X
cana-2083	325	2	15	15	NUM
cana-2083	325	3	]	]	X
cana-2083	325	4	goldberg	goldberg	PROPN
cana-2083	325	5	,	,	PUNCT
cana-2083	325	6	d.	d.	PROPN
cana-2083	325	7	p.	p.	PROPN
cana-2083	325	8	,	,	PUNCT
cana-2083	325	9	gater	gater	PROPN
cana-2083	325	10	,	,	PUNCT
cana-2083	325	11	r.	r.	PROPN
cana-2083	325	12	,	,	PUNCT
cana-2083	325	13	sartorius	sartorius	NOUN
cana-2083	325	14	,	,	PUNCT
cana-2083	325	15	n.	n.	NOUN
cana-2083	325	16	,	,	PUNCT
cana-2083	325	17	ustun	ustun	NOUN
cana-2083	325	18	,	,	PUNCT
cana-2083	325	19	t.	t.	PROPN
cana-2083	325	20	b.	b.	PROPN
cana-2083	325	21	,	,	PUNCT
cana-2083	325	22	piccinelli	piccinelli	PROPN
cana-2083	325	23	,	,	PUNCT
cana-2083	325	24	m.	m.	NOUN
cana-2083	325	25	,	,	PUNCT
cana-2083	325	26	gureje	gureje	NOUN
cana-2083	325	27	,	,	PUNCT
cana-2083	325	28	o.	o.	PROPN
cana-2083	325	29	,	,	PUNCT
cana-2083	325	30	&	&	CCONJ
cana-2083	325	31	rutter	rutter	PROPN
cana-2083	325	32	,	,	PUNCT
cana-2083	325	33	c.	c.	PROPN
cana-2083	325	34	(	(	PUNCT
cana-2083	325	35	1997	1997	NUM
cana-2083	325	36	)	)	PUNCT
cana-2083	325	37	.	.	PUNCT
cana-2083	326	1	the	the	DET
cana-2083	326	2	validity	validity	NOUN
cana-2083	326	3	of	of	ADP
cana-2083	326	4	two	two	NUM
cana-2083	326	5	versions	version	NOUN
cana-2083	326	6	of	of	ADP
cana-2083	326	7	the	the	DET
cana-2083	326	8	ghq	ghq	NOUN
cana-2083	326	9	in	in	ADP
cana-2083	326	10	the	the	PRON
cana-2083	326	11	who	who	PRON
cana-2083	326	12	study	study	NOUN
cana-2083	326	13	of	of	ADP
cana-2083	326	14	mental	mental	ADJ
cana-2083	326	15	illness	illness	NOUN
cana-2083	326	16	in	in	ADP
cana-2083	326	17	general	general	ADJ
cana-2083	326	18	health	health	NOUN
cana-2083	326	19	care	care	NOUN
cana-2083	326	20	.	.	PUNCT
cana-2083	327	1	psychological	psychological	ADJ
cana-2083	327	2	medicine	medicine	NOUN
cana-2083	327	3	,	,	PUNCT
cana-2083	327	4	27(1	27(1	NUM
cana-2083	327	5	)	)	PUNCT
cana-2083	327	6	,	,	PUNCT
cana-2083	327	7	191–197	191–197	NUM
cana-2083	327	8	.	.	PUNCT
cana-2083	328	1	https://doi.org/10.1017/s0033291796004242	https://doi.org/10.1017/s0033291796004242	NUM
cana-2083	328	2	[	[	X
cana-2083	328	3	16	16	NUM
cana-2083	328	4	]	]	X
cana-2083	328	5	anjara	anjara	PROPN
cana-2083	328	6	,	,	PUNCT
cana-2083	328	7	s.	s.	PROPN
cana-2083	328	8	,	,	PUNCT
cana-2083	328	9	bonetto	bonetto	NOUN
cana-2083	328	10	,	,	PUNCT
cana-2083	328	11	c.	c.	PROPN
cana-2083	328	12	,	,	PUNCT
cana-2083	328	13	van	van	PROPN
cana-2083	328	14	bortel	bortel	NOUN
cana-2083	328	15	,	,	PUNCT
cana-2083	328	16	t.	t.	PROPN
cana-2083	328	17	,	,	PUNCT
cana-2083	328	18	&	&	CCONJ
cana-2083	328	19	brayne	brayne	PROPN
cana-2083	328	20	,	,	PUNCT
cana-2083	328	21	c.	c.	PROPN
cana-2083	328	22	(	(	PUNCT
cana-2083	328	23	2020	2020	NUM
cana-2083	328	24	)	)	PUNCT
cana-2083	328	25	.	.	PUNCT
cana-2083	329	1	using	use	VERB
cana-2083	329	2	the	the	DET
cana-2083	329	3	ghq-12	ghq-12	NOUN
cana-2083	329	4	to	to	PART
cana-2083	329	5	screen	screen	VERB
cana-2083	329	6	for	for	ADP
cana-2083	329	7	mental	mental	ADJ
cana-2083	329	8	health	health	NOUN
cana-2083	329	9	problems	problem	NOUN
cana-2083	329	10	among	among	ADP
cana-2083	329	11	primary	primary	ADJ
cana-2083	329	12	care	care	NOUN
cana-2083	329	13	patients	patient	NOUN
cana-2083	329	14	:	:	PUNCT
cana-2083	329	15	psychometrics	psychometric	NOUN
cana-2083	329	16	and	and	CCONJ
cana-2083	329	17	practical	practical	ADJ
cana-2083	329	18	considerations	consideration	NOUN
cana-2083	329	19	.	.	PUNCT
cana-2083	330	1	international	international	ADJ
cana-2083	330	2	journal	journal	PROPN
cana-2083	330	3	of	of	ADP
cana-2083	330	4	mental	mental	ADJ
cana-2083	330	5	health	health	NOUN
cana-2083	330	6	systems	system	NOUN
cana-2083	330	7	,	,	PUNCT
cana-2083	330	8	14(1	14(1	NUM
cana-2083	330	9	)	)	PUNCT
cana-2083	330	10	.	.	PUNCT
cana-2083	331	1	https://doi.org/10.1186/s13033-020-00397-0	https://doi.org/10.1186/s13033-020-00397-0	PROPN
cana-2083	331	2	.	.	PUNCT
cana-2083	332	1	[	[	X
cana-2083	332	2	17	17	NUM
cana-2083	332	3	]	]	PUNCT
cana-2083	332	4	transformations	transformation	NOUN
cana-2083	332	5	,	,	PUNCT
cana-2083	332	6	http://www-users.york.ac.uk/~mb55/msc/clinbio/week5/transfm_gif.pdf	http://www-users.york.ac.uk/~mb55/msc/clinbio/week5/transfm_gif.pdf	PROPN
cana-2083	332	7	.	.	PUNCT
cana-2083	333	1	[	[	X
cana-2083	333	2	18	18	NUM
cana-2083	333	3	]	]	X
cana-2083	333	4	box	box	NOUN
cana-2083	333	5	-	-	PUNCT
cana-2083	333	6	cox	cox	PROPN
cana-2083	333	7	and	and	CCONJ
cana-2083	333	8	power	power	NOUN
cana-2083	333	9	transforms	transform	VERB
cana-2083	333	10	,	,	PUNCT
cana-2083	333	11	http://www.statsref.com	http://www.statsref.com	X
cana-2083	333	12	/	/	SYM
cana-2083	333	13	html	html	NOUN
cana-2083	333	14	/	/	SYM
cana-2083	333	15	index.html?freeman	index.html?freeman	PROPN
cana-2083	333	16	-	-	PUNCT
cana-2083	333	17	tukey.html	tukey.html	NOUN
cana-2083	333	18	.	.	PUNCT
cana-2083	334	1	[	[	X
cana-2083	334	2	19	19	NUM
cana-2083	334	3	]	]	X
cana-2083	334	4	mardia	mardia	PROPN
cana-2083	334	5	,	,	PUNCT
cana-2083	334	6	k.v	k.v	PROPN
cana-2083	334	7	.	.	NOUN
cana-2083	334	8	measures	measure	NOUN
cana-2083	334	9	of	of	ADP
cana-2083	334	10	multivariate	multivariate	NOUN
cana-2083	334	11	skewness	skewness	NOUN
cana-2083	334	12	and	and	CCONJ
cana-2083	334	13	kurtosis	kurtosis	NOUN
cana-2083	334	14	with	with	ADP
cana-2083	334	15	applications	application	NOUN
cana-2083	334	16	.	.	PUNCT
cana-2083	335	1	biometrika	biometrika	NOUN
cana-2083	335	2	,	,	PUNCT
cana-2083	335	3	57(3):519–530	57(3):519–530	NUM
cana-2083	335	4	,	,	PUNCT
cana-2083	335	5	1970	1970	NUM
cana-2083	335	6	.	.	PUNCT
cana-2083	336	1	[	[	X
cana-2083	336	2	20	20	NUM
cana-2083	336	3	]	]	X
cana-2083	336	4	von	von	PROPN
cana-2083	336	5	eye	eye	PROPN
cana-2083	336	6	,	,	PUNCT
cana-2083	336	7	a.	a.	NOUN
cana-2083	336	8	,	,	PUNCT
cana-2083	336	9	&	&	CCONJ
cana-2083	336	10	bogat	bogat	NOUN
cana-2083	336	11	,	,	PUNCT
cana-2083	336	12	g.	g.	PROPN
cana-2083	336	13	a.	a.	PROPN
cana-2083	336	14	(	(	PUNCT
cana-2083	336	15	2004	2004	NUM
cana-2083	336	16	)	)	PUNCT
cana-2083	336	17	.	.	PUNCT
cana-2083	337	1	testing	test	VERB
cana-2083	337	2	the	the	DET
cana-2083	337	3	assumption	assumption	NOUN
cana-2083	337	4	of	of	ADP
cana-2083	337	5	multivariate	multivariate	NOUN
cana-2083	337	6	normality	normality	NOUN
cana-2083	337	7	.	.	PUNCT
cana-2083	338	1	psychology	psychology	NOUN
cana-2083	338	2	science	science	NOUN
cana-2083	338	3	.	.	PUNCT
cana-2083	339	1	http://pabst-publishers.de/psychology-science/2-2004/ps_2_2004_243-258.pdf	http://pabst-publishers.de/psychology-science/2-2004/ps_2_2004_243-258.pdf	PRON
cana-2083	340	1	[	[	X
cana-2083	340	2	21	21	NUM
cana-2083	340	3	]	]	X
cana-2083	340	4	kuha	kuha	NOUN
cana-2083	340	5	,	,	PUNCT
cana-2083	340	6	j.	j.	PROPN
cana-2083	340	7	(	(	PUNCT
cana-2083	340	8	2004	2004	NUM
cana-2083	340	9	)	)	PUNCT
cana-2083	340	10	.	.	PUNCT
cana-2083	341	1	aic	aic	PROPN
cana-2083	341	2	and	and	CCONJ
cana-2083	341	3	bic	bic	PROPN
cana-2083	341	4	.	.	PUNCT
cana-2083	342	1	sociological	sociological	ADJ
cana-2083	342	2	methods	method	NOUN
cana-2083	342	3	&	&	CCONJ
cana-2083	342	4	research	research	PROPN
cana-2083	342	5	,	,	PUNCT
cana-2083	342	6	33(2	33(2	NUM
cana-2083	342	7	)	)	PUNCT
cana-2083	342	8	,	,	PUNCT
cana-2083	342	9	188–229	188–229	NUM
cana-2083	342	10	.	.	PUNCT
cana-2083	343	1	https://doi.org/10.1177/0049124103262065	https://doi.org/10.1177/0049124103262065	X
cana-2083	344	1	[	[	X
cana-2083	344	2	22	22	NUM
cana-2083	344	3	]	]	PUNCT
cana-2083	344	4	bradman	bradman	PROPN
cana-2083	344	5	,	,	PUNCT
cana-2083	344	6	m.j	m.j	PROPN
cana-2083	344	7	.	.	PROPN
cana-2083	344	8	,	,	PUNCT
cana-2083	344	9	clark	clark	PROPN
cana-2083	344	10	,	,	PUNCT
cana-2083	344	11	t.g	t.g	PROPN
cana-2083	344	12	.	.	PROPN
cana-2083	344	13	,	,	PUNCT
cana-2083	344	14	love	love	NOUN
cana-2083	344	15	,	,	PUNCT
cana-2083	344	16	s.b	s.b	PROPN
cana-2083	344	17	.	.	PROPN
cana-2083	344	18	,	,	PUNCT
cana-2083	344	19	altman	altman	PROPN
cana-2083	344	20	,	,	PUNCT
cana-2083	344	21	d.g	d.g	PROPN
cana-2083	344	22	.	.	PROPN
cana-2083	344	23	,	,	PUNCT
cana-2083	344	24	2003	2003	NUM
cana-2083	344	25	,	,	PUNCT
cana-2083	344	26	survival	survival	NOUN
cana-2083	344	27	analysis	analysis	NOUN
cana-2083	344	28	part	part	NOUN
cana-2083	344	29	iii	iii	NOUN
cana-2083	344	30	:	:	PUNCT
cana-2083	344	31	multivariate	multivariate	NOUN
cana-2083	344	32	data	datum	NOUN
cana-2083	344	33	analysischoosing	analysischoose	VERB
cana-2083	344	34	a	a	DET
cana-2083	344	35	model	model	NOUN
cana-2083	344	36	and	and	CCONJ
cana-2083	344	37	assessing	assess	VERB
cana-2083	344	38	its	its	PRON
cana-2083	344	39	adequacy	adequacy	NOUN
cana-2083	344	40	and	and	CCONJ
cana-2083	344	41	fit	fit	ADJ
cana-2083	344	42	,	,	PUNCT
cana-2083	344	43	british	british	ADJ
cana-2083	344	44	journal	journal	PROPN
cana-2083	344	45	of	of	ADP
cana-2083	344	46	cancer	cancer	NOUN
cana-2083	344	47	,	,	PUNCT
cana-2083	344	48	89	89	NUM
cana-2083	344	49	,	,	PUNCT
cana-2083	344	50	605	605	NUM
cana-2083	344	51	-	-	SYM
cana-2083	344	52	11	11	NUM
cana-2083	344	53	,	,	PUNCT
cana-2083	344	54	doi	doi	NOUN
cana-2083	344	55	:	:	PUNCT
cana-2083	344	56	10.1038	10.1038	NUM
cana-2083	344	57	/	/	SYM
cana-2083	344	58	sj.bjc.6601120	sj.bjc.6601120	ADJ
cana-2083	344	59	.	.	PUNCT
cana-2083	345	1	[	[	X
cana-2083	345	2	23	23	NUM
cana-2083	345	3	]	]	X
cana-2083	345	4	sabharwal	sabharwal	NOUN
cana-2083	345	5	,	,	PUNCT
cana-2083	345	6	a.	a.	NOUN
cana-2083	345	7	,	,	PUNCT
cana-2083	345	8	goyal	goyal	PROPN
cana-2083	345	9	,	,	PUNCT
cana-2083	345	10	b.	b.	PROPN
cana-2083	345	11	,	,	PUNCT
cana-2083	345	12	&	&	CCONJ
cana-2083	345	13	joshi	joshi	PROPN
cana-2083	345	14	,	,	PUNCT
cana-2083	345	15	l.	l.	PROPN
cana-2083	345	16	m.	m.	PROPN
cana-2083	345	17	(	(	PUNCT
cana-2083	345	18	2024	2024	NUM
cana-2083	345	19	)	)	PUNCT
cana-2083	345	20	.	.	PUNCT
cana-2083	346	1	psychological	psychological	ADJ
cana-2083	346	2	health	health	NOUN
cana-2083	346	3	of	of	ADP
cana-2083	346	4	young	young	ADJ
cana-2083	346	5	adults	adult	NOUN
cana-2083	346	6	as	as	SCONJ
cana-2083	346	7	measured	measure	VERB
cana-2083	346	8	through	through	ADP
cana-2083	346	9	internalising	internalise	VERB
cana-2083	346	10	and	and	CCONJ
cana-2083	346	11	externalising	externalise	VERB
cana-2083	346	12	scores	score	NOUN
cana-2083	346	13	of	of	ADP
cana-2083	346	14	strength	strength	NOUN
cana-2083	346	15	and	and	CCONJ
cana-2083	346	16	difficulty	difficulty	NOUN
cana-2083	346	17	questionnaire	questionnaire	NOUN
cana-2083	346	18	.	.	PUNCT
cana-2083	347	1	migration	migration	NOUN
cana-2083	347	2	letters	letter	NOUN
cana-2083	347	3	,	,	PUNCT
cana-2083	347	4	21(s4	21(s4	NUM
cana-2083	347	5	)	)	PUNCT
cana-2083	347	6	,	,	PUNCT
cana-2083	347	7	15111520	15111520	NUM
cana-2083	347	8	.	.	PUNCT
cana-2083	348	1	https://doi.org/10.1111/1469-7610.00494	https://doi.org/10.1111/1469-7610.00494	NOUN
cana-2083	348	2	https://doi.org/10.11591/ijphs.v12i1.21527	https://doi.org/10.11591/ijphs.v12i1.21527	NUM
cana-2083	348	3	https://doi.org/10.1192/bjp.134.4.446b	https://doi.org/10.1192/bjp.134.4.446b	NOUN
cana-2083	348	4	https://doi.org/10.1186/s13033-020-00397-0	https://doi.org/10.1186/s13033-020-00397-0	NUM
cana-2083	348	5	https://doi.org/10.1177/0049124103262065	https://doi.org/10.1177/0049124103262065	NOUN