id	sid	tid	token	lemma	pos
00000001r2s	1	1	numerous	numerous	ADJ
00000001r2s	1	2	statistical	statistical	ADJ
00000001r2s	1	3	methods	method	NOUN
00000001r2s	1	4	exist	exist	VERB
00000001r2s	1	5	for	for	ADP
00000001r2s	1	6	the	the	DET
00000001r2s	1	7	analysis	analysis	NOUN
00000001r2s	1	8	of	of	ADP
00000001r2s	1	9	irregularly	irregularly	ADV
00000001r2s	1	10	spaced	space	VERB
00000001r2s	1	11	time	time	NOUN
00000001r2s	1	12	series	series	NOUN
00000001r2s	1	13	data	datum	NOUN
00000001r2s	1	14	(	(	PUNCT
00000001r2s	1	15	parzen	parzen	NOUN
00000001r2s	1	16	,	,	PUNCT
00000001r2s	1	17	1984	1984	NUM
00000001r2s	1	18	)	)	PUNCT
00000001r2s	1	19	.	.	PUNCT
00000001r2s	2	1	an	an	DET
00000001r2s	2	2	extension	extension	NOUN
00000001r2s	2	3	of	of	ADP
00000001r2s	2	4	the	the	DET
00000001r2s	2	5	multivariate	multivariate	NOUN
00000001r2s	2	6	latent	latent	NOUN
00000001r2s	2	7	differential	differential	ADJ
00000001r2s	2	8	equation	equation	NOUN
00000001r2s	2	9	(	(	PUNCT
00000001r2s	2	10	mlde	mlde	NOUN
00000001r2s	2	11	)	)	PUNCT
00000001r2s	2	12	model	model	NOUN
00000001r2s	2	13	(	(	PUNCT
00000001r2s	2	14	boker	boker	PROPN
00000001r2s	2	15	,	,	PUNCT
00000001r2s	2	16	neale	neale	PROPN
00000001r2s	2	17	&	&	CCONJ
00000001r2s	2	18	rausch	rausch	NOUN
00000001r2s	2	19	,	,	PUNCT
00000001r2s	2	20	2004	2004	NUM
00000001r2s	2	21	)	)	PUNCT
00000001r2s	2	22	for	for	ADP
00000001r2s	2	23	accommodating	accommodate	VERB
00000001r2s	2	24	irregularly	irregularly	ADV
00000001r2s	2	25	-	-	PUNCT
00000001r2s	2	26	spaced	space	VERB
00000001r2s	2	27	data	datum	NOUN
00000001r2s	2	28	is	be	AUX
00000001r2s	2	29	provided	provide	VERB
00000001r2s	2	30	.	.	PUNCT
00000001r2s	3	1	moreover	moreover	ADV
00000001r2s	3	2	,	,	PUNCT
00000001r2s	3	3	the	the	DET
00000001r2s	3	4	current	current	ADJ
00000001r2s	3	5	dissertation	dissertation	NOUN
00000001r2s	3	6	focuses	focus	VERB
00000001r2s	3	7	on	on	ADP
00000001r2s	3	8	how	how	SCONJ
00000001r2s	3	9	misspecifying	misspecifye	VERB
00000001r2s	3	10	an	an	DET
00000001r2s	3	11	irregular	irregular	ADJ
00000001r2s	3	12	sampling	sampling	NOUN
00000001r2s	3	13	interval	interval	NOUN
00000001r2s	3	14	as	as	ADP
00000001r2s	3	15	an	an	DET
00000001r2s	3	16	equal	equal	ADJ
00000001r2s	3	17	measurement	measurement	NOUN
00000001r2s	3	18	interval	interval	NOUN
00000001r2s	3	19	effects	effect	NOUN
00000001r2s	3	20	the	the	DET
00000001r2s	3	21	estimated	estimate	VERB
00000001r2s	3	22	model	model	NOUN
00000001r2s	3	23	parameters	parameter	NOUN
00000001r2s	3	24	of	of	ADP
00000001r2s	3	25	change	change	NOUN
00000001r2s	3	26	of	of	ADP
00000001r2s	3	27	the	the	DET
00000001r2s	3	28	mlde	mlde	ADJ
00000001r2s	3	29	model	model	NOUN
00000001r2s	3	30	.	.	PUNCT
00000001r2s	4	1	the	the	DET
00000001r2s	4	2	accuracy	accuracy	NOUN
00000001r2s	4	3	of	of	ADP
00000001r2s	4	4	the	the	DET
00000001r2s	4	5	estimated	estimate	VERB
00000001r2s	4	6	model	model	NOUN
00000001r2s	4	7	parameters	parameter	NOUN
00000001r2s	4	8	of	of	ADP
00000001r2s	4	9	change	change	NOUN
00000001r2s	4	10	was	be	AUX
00000001r2s	4	11	assessed	assess	VERB
00000001r2s	4	12	through	through	ADP
00000001r2s	4	13	the	the	DET
00000001r2s	4	14	use	use	NOUN
00000001r2s	4	15	of	of	ADP
00000001r2s	4	16	monte	monte	PROPN
00000001r2s	4	17	carlo	carlo	PROPN
00000001r2s	4	18	simulations	simulation	NOUN
00000001r2s	4	19	.	.	PUNCT
00000001r2s	5	1	for	for	ADP
00000001r2s	5	2	exponential	exponential	ADJ
00000001r2s	5	3	processes	process	NOUN
00000001r2s	5	4	,	,	PUNCT
00000001r2s	5	5	relative	relative	ADJ
00000001r2s	5	6	to	to	ADP
00000001r2s	5	7	the	the	DET
00000001r2s	5	8	mlde	mlde	ADJ
00000001r2s	5	9	model	model	NOUN
00000001r2s	5	10	curvature	curvature	NOUN
00000001r2s	5	11	parameter	parameter	NOUN
00000001r2s	5	12	estimates	estimate	VERB
00000001r2s	5	13	from	from	ADP
00000001r2s	5	14	equally	equally	ADV
00000001r2s	5	15	spaced	space	VERB
00000001r2s	5	16	data	datum	NOUN
00000001r2s	5	17	,	,	PUNCT
00000001r2s	5	18	the	the	DET
00000001r2s	5	19	misspecification	misspecification	NOUN
00000001r2s	5	20	of	of	ADP
00000001r2s	5	21	irregularly	irregularly	ADV
00000001r2s	5	22	spaced	space	VERB
00000001r2s	5	23	data	datum	NOUN
00000001r2s	5	24	has	have	VERB
00000001r2s	5	25	little	little	ADJ
00000001r2s	5	26	to	to	ADP
00000001r2s	5	27	no	no	DET
00000001r2s	5	28	effect	effect	NOUN
00000001r2s	5	29	on	on	ADP
00000001r2s	5	30	the	the	DET
00000001r2s	5	31	bias	bias	NOUN
00000001r2s	5	32	but	but	CCONJ
00000001r2s	5	33	does	do	AUX
00000001r2s	5	34	decrease	decrease	VERB
00000001r2s	5	35	the	the	DET
00000001r2s	5	36	precision	precision	NOUN
00000001r2s	5	37	of	of	ADP
00000001r2s	5	38	the	the	DET
00000001r2s	5	39	curvature	curvature	NOUN
00000001r2s	5	40	parameter	parameter	NOUN
00000001r2s	5	41	estimates	estimate	VERB
00000001r2s	5	42	.	.	PUNCT
00000001r2s	6	1	for	for	ADP
00000001r2s	6	2	processes	process	NOUN
00000001r2s	6	3	exhibiting	exhibit	VERB
00000001r2s	6	4	cyclic	cyclic	ADJ
00000001r2s	6	5	change	change	NOUN
00000001r2s	6	6	,	,	PUNCT
00000001r2s	6	7	if	if	SCONJ
00000001r2s	6	8	a	a	DET
00000001r2s	6	9	high	high	ADJ
00000001r2s	6	10	degree	degree	NOUN
00000001r2s	6	11	of	of	ADP
00000001r2s	6	12	misspecification	misspecification	NOUN
00000001r2s	6	13	exists	exist	VERB
00000001r2s	6	14	in	in	ADP
00000001r2s	6	15	the	the	DET
00000001r2s	6	16	sampling	sampling	NOUN
00000001r2s	6	17	interval	interval	NOUN
00000001r2s	6	18	,	,	PUNCT
00000001r2s	6	19	relative	relative	ADJ
00000001r2s	6	20	to	to	ADP
00000001r2s	6	21	the	the	DET
00000001r2s	6	22	mlde	mlde	ADJ
00000001r2s	6	23	model	model	NOUN
00000001r2s	6	24	estimates	estimate	NOUN
00000001r2s	6	25	of	of	ADP
00000001r2s	6	26	equally	equally	ADV
00000001r2s	6	27	spaced	space	VERB
00000001r2s	6	28	data	datum	NOUN
00000001r2s	6	29	,	,	PUNCT
00000001r2s	6	30	the	the	DET
00000001r2s	6	31	frequency	frequency	NOUN
00000001r2s	6	32	parameter	parameter	NOUN
00000001r2s	6	33	will	will	AUX
00000001r2s	6	34	be	be	AUX
00000001r2s	6	35	underestimated	underestimate	VERB
00000001r2s	6	36	and	and	CCONJ
00000001r2s	6	37	the	the	DET
00000001r2s	6	38	damping	damp	VERB
00000001r2s	6	39	parameter	parameter	NOUN
00000001r2s	6	40	will	will	AUX
00000001r2s	6	41	be	be	AUX
00000001r2s	6	42	overestimated	overestimate	VERB
00000001r2s	6	43	.	.	PUNCT
00000001r2s	7	1	utilizing	utilize	VERB
00000001r2s	7	2	fiml	fiml	NOUN
00000001r2s	7	3	estimation	estimation	NOUN
00000001r2s	7	4	to	to	PART
00000001r2s	7	5	correctly	correctly	ADV
00000001r2s	7	6	define	define	VERB
00000001r2s	7	7	the	the	DET
00000001r2s	7	8	sampling	sampling	NOUN
00000001r2s	7	9	interval	interval	NOUN
00000001r2s	7	10	,	,	PUNCT
00000001r2s	7	11	however	however	ADV
00000001r2s	7	12	,	,	PUNCT
00000001r2s	7	13	may	may	AUX
00000001r2s	7	14	tend	tend	VERB
00000001r2s	7	15	to	to	PART
00000001r2s	7	16	overestimate	overestimate	VERB
00000001r2s	7	17	the	the	DET
00000001r2s	7	18	frequency	frequency	NOUN
00000001r2s	7	19	of	of	ADP
00000001r2s	7	20	the	the	DET
00000001r2s	7	21	process	process	NOUN
00000001r2s	7	22	and	and	CCONJ
00000001r2s	7	23	overestimation	overestimation	NOUN
00000001r2s	7	24	of	of	ADP
00000001r2s	7	25	the	the	DET
00000001r2s	7	26	damping	damp	VERB
00000001r2s	7	27	will	will	AUX
00000001r2s	7	28	still	still	ADV
00000001r2s	7	29	exist	exist	VERB
00000001r2s	7	30	.	.	PUNCT
00000001r2s	8	1	the	the	DET
00000001r2s	8	2	amount	amount	NOUN
00000001r2s	8	3	of	of	ADP
00000001r2s	8	4	bias	bias	NOUN
00000001r2s	8	5	incurred	incur	VERB
00000001r2s	8	6	in	in	ADP
00000001r2s	8	7	both	both	CCONJ
00000001r2s	8	8	the	the	DET
00000001r2s	8	9	frequency	frequency	NOUN
00000001r2s	8	10	and	and	CCONJ
00000001r2s	8	11	damping	damp	VERB
00000001r2s	8	12	parameter	parameter	NOUN
00000001r2s	8	13	due	due	ADP
00000001r2s	8	14	to	to	ADP
00000001r2s	8	15	the	the	DET
00000001r2s	8	16	incorrect	incorrect	ADJ
00000001r2s	8	17	parameterization	parameterization	NOUN
00000001r2s	8	18	of	of	ADP
00000001r2s	8	19	time	time	NOUN
00000001r2s	8	20	,	,	PUNCT
00000001r2s	8	21	however	however	ADV
00000001r2s	8	22	,	,	PUNCT
00000001r2s	8	23	does	do	AUX
00000001r2s	8	24	not	not	PART
00000001r2s	8	25	appear	appear	VERB
00000001r2s	8	26	to	to	PART
00000001r2s	8	27	be	be	AUX
00000001r2s	8	28	substantial	substantial	ADJ
00000001r2s	8	29	.	.	PUNCT