id	sid	tid	token	lemma	pos
hjic-97	1	1	hungarian	hungarian	ADJ
hjic-97	1	2	journal	journal	NOUN
hjic-97	1	3	of	of	ADP
hjic-97	1	4	industrial	industrial	ADJ
hjic-97	1	5	chemistry	chemistry	NOUN
hjic-97	1	6	vesprém	vesprém	NOUN
hjic-97	1	7	vol	vol	NOUN
hjic-97	1	8	.	.	PUNCT
hjic-97	2	1	33(1	33(1	NUM
hjic-97	2	2	-	-	SYM
hjic-97	2	3	2	2	NUM
hjic-97	2	4	)	)	PUNCT
hjic-97	2	5	.	.	PUNCT
hjic-97	3	1	,	,	PUNCT
hjic-97	3	2	pp	pp	PROPN
hjic-97	3	3	.	.	PUNCT
hjic-97	4	1	69	69	NUM
hjic-97	4	2	-	-	SYM
hjic-97	4	3	73	73	NUM
hjic-97	4	4	.	.	PUNCT
hjic-97	5	1	(	(	PUNCT
hjic-97	5	2	2005	2005	NUM
hjic-97	5	3	)	)	PUNCT
hjic-97	5	4	estimation	estimation	NOUN
hjic-97	5	5	of	of	ADP
hjic-97	5	6	parameters	parameter	NOUN
hjic-97	5	7	in	in	ADP
hjic-97	5	8	3	3	NUM
hjic-97	5	9	-	-	PUNCT
hjic-97	5	10	parameter	parameter	NOUN
hjic-97	5	11	weibull	weibull	PROPN
hjic-97	5	12	probability	probability	NOUN
hjic-97	5	13	distribution	distribution	NOUN
hjic-97	5	14	functions	function	NOUN
hjic-97	5	15	r.	r.	PROPN
hjic-97	5	16	luus	luus	PROPN
hjic-97	5	17	and	and	CCONJ
hjic-97	5	18	m.	m.	PROPN
hjic-97	5	19	jammer	jammer	PROPN
hjic-97	5	20	department	department	PROPN
hjic-97	5	21	of	of	ADP
hjic-97	5	22	chemical	chemical	PROPN
hjic-97	5	23	engineering	engineering	NOUN
hjic-97	5	24	,	,	PUNCT
hjic-97	5	25	university	university	PROPN
hjic-97	5	26	of	of	ADP
hjic-97	5	27	toronto	toronto	PROPN
hjic-97	5	28	,	,	PUNCT
hjic-97	5	29	toronto	toronto	PROPN
hjic-97	5	30	,	,	PUNCT
hjic-97	5	31	on	on	ADP
hjic-97	5	32	m5s	m5s	NOUN
hjic-97	5	33	3e5	3e5	NUM
hjic-97	5	34	,	,	PUNCT
hjic-97	5	35	canada	canada	PROPN
hjic-97	5	36	this	this	DET
hjic-97	5	37	paper	paper	NOUN
hjic-97	5	38	was	be	AUX
hjic-97	5	39	presented	present	VERB
hjic-97	5	40	at	at	ADP
hjic-97	5	41	the	the	DET
hjic-97	5	42	10th	10th	ADJ
hjic-97	5	43	international	international	ADJ
hjic-97	5	44	workshop	workshop	NOUN
hjic-97	5	45	on	on	ADP
hjic-97	5	46	chemical	chemical	ADJ
hjic-97	5	47	engineering	engineering	NOUN
hjic-97	5	48	mathematics	mathematic	NOUN
hjic-97	5	49	,	,	PUNCT
hjic-97	5	50	budapest	budapest	PROPN
hjic-97	5	51	,	,	PUNCT
hjic-97	5	52	hungary	hungary	PROPN
hjic-97	5	53	,	,	PUNCT
hjic-97	5	54	august	august	PROPN
hjic-97	5	55	18	18	NUM
hjic-97	5	56	-	-	SYM
hjic-97	5	57	20	20	NUM
hjic-97	5	58	,	,	PUNCT
hjic-97	5	59	2005	2005	NUM
hjic-97	5	60	three	three	NUM
hjic-97	5	61	-	-	PUNCT
hjic-97	5	62	parameter	parameter	NOUN
hjic-97	5	63	weibull	weibull	PROPN
hjic-97	5	64	probability	probability	NOUN
hjic-97	5	65	distribution	distribution	NOUN
hjic-97	5	66	function	function	NOUN
hjic-97	5	67	is	be	AUX
hjic-97	5	68	used	use	VERB
hjic-97	5	69	to	to	PART
hjic-97	5	70	represent	represent	VERB
hjic-97	5	71	the	the	DET
hjic-97	5	72	time	time	NOUN
hjic-97	5	73	-	-	PUNCT
hjic-97	5	74	to	to	ADP
hjic-97	5	75	-	-	PUNCT
hjic-97	5	76	failure	failure	NOUN
hjic-97	5	77	data	datum	NOUN
hjic-97	5	78	.	.	PUNCT
hjic-97	6	1	for	for	ADP
hjic-97	6	2	parameter	parameter	NOUN
hjic-97	6	3	estimation	estimation	NOUN
hjic-97	6	4	,	,	PUNCT
hjic-97	6	5	the	the	DET
hjic-97	6	6	errors	error	NOUN
hjic-97	6	7	-	-	PUNCT
hjic-97	6	8	in	in	ADP
hjic-97	6	9	-	-	PUNCT
hjic-97	6	10	variables	variable	NOUN
hjic-97	6	11	,	,	PUNCT
hjic-97	6	12	maximum	maximum	ADJ
hjic-97	6	13	likelihood	likelihood	NOUN
hjic-97	6	14	,	,	PUNCT
hjic-97	6	15	and	and	CCONJ
hjic-97	6	16	least	least	ADJ
hjic-97	6	17	squares	square	NOUN
hjic-97	6	18	methods	method	NOUN
hjic-97	6	19	are	be	AUX
hjic-97	6	20	compared	compare	VERB
hjic-97	6	21	.	.	PUNCT
hjic-97	7	1	the	the	DET
hjic-97	7	2	results	result	NOUN
hjic-97	7	3	obtained	obtain	VERB
hjic-97	7	4	from	from	ADP
hjic-97	7	5	five	five	NUM
hjic-97	7	6	data	datum	NOUN
hjic-97	7	7	sets	set	NOUN
hjic-97	7	8	show	show	VERB
hjic-97	7	9	that	that	SCONJ
hjic-97	7	10	maximum	maximum	ADJ
hjic-97	7	11	likelihood	likelihood	NOUN
hjic-97	7	12	method	method	NOUN
hjic-97	7	13	gives	give	VERB
hjic-97	7	14	the	the	DET
hjic-97	7	15	most	most	ADV
hjic-97	7	16	reliable	reliable	ADJ
hjic-97	7	17	parameter	parameter	NOUN
hjic-97	7	18	estimates	estimate	NOUN
hjic-97	7	19	which	which	PRON
hjic-97	7	20	are	be	AUX
hjic-97	7	21	close	close	ADJ
hjic-97	7	22	to	to	ADP
hjic-97	7	23	those	those	PRON
hjic-97	7	24	obtained	obtain	VERB
hjic-97	7	25	by	by	ADP
hjic-97	7	26	errors	error	NOUN
hjic-97	7	27	-	-	PUNCT
hjic-97	7	28	in	in	ADP
hjic-97	7	29	-	-	PUNCT
hjic-97	7	30	variables	variable	NOUN
hjic-97	7	31	approach	approach	NOUN
hjic-97	7	32	.	.	PUNCT
hjic-97	8	1	the	the	DET
hjic-97	8	2	least	least	ADJ
hjic-97	8	3	squares	square	NOUN
hjic-97	8	4	method	method	NOUN
hjic-97	8	5	gave	give	VERB
hjic-97	8	6	the	the	DET
hjic-97	8	7	poorest	poor	ADJ
hjic-97	8	8	results	result	NOUN
hjic-97	8	9	in	in	ADP
hjic-97	8	10	most	most	ADJ
hjic-97	8	11	cases	case	NOUN
hjic-97	8	12	.	.	PUNCT
hjic-97	9	1	for	for	ADP
hjic-97	9	2	parameter	parameter	NOUN
hjic-97	9	3	estimation	estimation	NOUN
hjic-97	9	4	,	,	PUNCT
hjic-97	9	5	the	the	DET
hjic-97	9	6	luus	luus	PROPN
hjic-97	9	7	-	-	PUNCT
hjic-97	9	8	jaakola	jaakola	PROPN
hjic-97	9	9	direct	direct	ADJ
hjic-97	9	10	search	search	NOUN
hjic-97	9	11	optimization	optimization	NOUN
hjic-97	9	12	procedure	procedure	NOUN
hjic-97	9	13	yielded	yield	VERB
hjic-97	9	14	the	the	DET
hjic-97	9	15	optimal	optimal	ADJ
hjic-97	9	16	parameter	parameter	NOUN
hjic-97	9	17	values	value	NOUN
hjic-97	9	18	in	in	ADP
hjic-97	9	19	negligible	negligible	ADJ
hjic-97	9	20	computation	computation	NOUN
hjic-97	9	21	time	time	NOUN
hjic-97	9	22	,	,	PUNCT
hjic-97	9	23	taking	take	VERB
hjic-97	9	24	less	less	ADJ
hjic-97	9	25	than	than	ADP
hjic-97	9	26	a	a	DET
hjic-97	9	27	second	second	NOUN
hjic-97	9	28	of	of	ADP
hjic-97	9	29	computation	computation	NOUN
hjic-97	9	30	time	time	NOUN
hjic-97	9	31	on	on	ADP
hjic-97	9	32	a	a	DET
hjic-97	9	33	pentium4/2.66mhz	pentium4/2.66mhz	ADJ
hjic-97	9	34	personal	personal	ADJ
hjic-97	9	35	computer	computer	NOUN
hjic-97	9	36	for	for	ADP
hjic-97	9	37	50	50	NUM
hjic-97	9	38	data	datum	NOUN
hjic-97	9	39	points	point	NOUN
hjic-97	9	40	.	.	PUNCT
hjic-97	10	1	keywords	keyword	NOUN
hjic-97	10	2	:	:	PUNCT
hjic-97	10	3	parameter	parameter	PROPN
hjic-97	10	4	estimation	estimation	PROPN
hjic-97	10	5	,	,	PUNCT
hjic-97	10	6	weibull	weibull	PROPN
hjic-97	10	7	,	,	PUNCT
hjic-97	10	8	maximum	maximum	ADJ
hjic-97	10	9	likelihood	likelihood	NOUN
hjic-97	10	10	,	,	PUNCT
hjic-97	10	11	least	least	ADJ
hjic-97	10	12	squares	square	NOUN
hjic-97	10	13	,	,	PUNCT
hjic-97	10	14	errors	error	NOUN
hjic-97	10	15	-	-	PUNCT
hjic-97	10	16	in	in	ADP
hjic-97	10	17	-	-	PUNCT
hjic-97	10	18	variables	variable	NOUN
hjic-97	10	19	introduction	introduction	NOUN
hjic-97	10	20	similar	similar	ADJ
hjic-97	10	21	items	item	NOUN
hjic-97	10	22	,	,	PUNCT
hjic-97	10	23	such	such	ADJ
hjic-97	10	24	as	as	ADP
hjic-97	10	25	100	100	NUM
hjic-97	10	26	-	-	PUNCT
hjic-97	10	27	watt	watt	NOUN
hjic-97	10	28	incandescent	incandescent	NOUN
hjic-97	10	29	light	light	ADJ
hjic-97	10	30	bulbs	bulb	NOUN
hjic-97	10	31	produced	produce	VERB
hjic-97	10	32	by	by	ADP
hjic-97	10	33	the	the	DET
hjic-97	10	34	same	same	ADJ
hjic-97	10	35	company	company	NOUN
hjic-97	10	36	,	,	PUNCT
hjic-97	10	37	subjected	subject	VERB
hjic-97	10	38	to	to	ADP
hjic-97	10	39	similar	similar	ADJ
hjic-97	10	40	environmental	environmental	ADJ
hjic-97	10	41	conditions	condition	NOUN
hjic-97	10	42	tend	tend	VERB
hjic-97	10	43	to	to	PART
hjic-97	10	44	fail	fail	VERB
hjic-97	10	45	at	at	ADP
hjic-97	10	46	different	different	ADJ
hjic-97	10	47	times	time	NOUN
hjic-97	10	48	.	.	PUNCT
hjic-97	11	1	to	to	PART
hjic-97	11	2	predict	predict	VERB
hjic-97	11	3	the	the	DET
hjic-97	11	4	life	life	NOUN
hjic-97	11	5	of	of	ADP
hjic-97	11	6	such	such	ADJ
hjic-97	11	7	items	item	NOUN
hjic-97	11	8	,	,	PUNCT
hjic-97	11	9	the	the	DET
hjic-97	11	10	three	three	NUM
hjic-97	11	11	-	-	PUNCT
hjic-97	11	12	parameter	parameter	NOUN
hjic-97	11	13	weibull	weibull	NOUN
hjic-97	11	14	probability	probability	NOUN
hjic-97	11	15	distribution	distribution	NOUN
hjic-97	11	16	function	function	NOUN
hjic-97	11	17	has	have	AUX
hjic-97	11	18	been	be	AUX
hjic-97	11	19	found	find	VERB
hjic-97	11	20	to	to	PART
hjic-97	11	21	represent	represent	VERB
hjic-97	11	22	the	the	DET
hjic-97	11	23	time	time	NOUN
hjic-97	11	24	-	-	PUNCT
hjic-97	11	25	to	to	ADP
hjic-97	11	26	-	-	PUNCT
hjic-97	11	27	failure	failure	NOUN
hjic-97	11	28	data	datum	NOUN
hjic-97	11	29	reasonably	reasonably	ADV
hjic-97	11	30	well	well	ADV
hjic-97	11	31	.	.	PUNCT
hjic-97	12	1	the	the	DET
hjic-97	12	2	weibull	weibull	PROPN
hjic-97	12	3	cumulative	cumulative	ADJ
hjic-97	12	4	distribution	distribution	NOUN
hjic-97	12	5	function	function	NOUN
hjic-97	12	6	is	be	AUX
hjic-97	12	7	tttf	tttf	VERB
hjic-97	12	8	<	<	X
hjic-97	12	9	−	−	PROPN
hjic-97	12	10	−−=	−−=	X
hjic-97	12	11	µ	µ	X
hjic-97	12	12	α	α	X
hjic-97	12	13	µ	µ	X
hjic-97	12	14	β	β	X
hjic-97	12	15	]	]	X
hjic-97	12	16	,	,	PUNCT
hjic-97	12	17	)	)	PUNCT
hjic-97	12	18	(	(	PUNCT
hjic-97	12	19	exp[1	exp[1	NUM
hjic-97	12	20	)	)	PUNCT
hjic-97	12	21	(	(	PUNCT
hjic-97	12	22	(	(	PUNCT
hjic-97	12	23	1	1	X
hjic-97	12	24	)	)	PUNCT
hjic-97	12	25	and	and	CCONJ
hjic-97	12	26	its	its	PRON
hjic-97	12	27	derivative	derivative	NOUN
hjic-97	12	28	is	be	AUX
hjic-97	12	29	the	the	DET
hjic-97	12	30	weibull	weibull	PROPN
hjic-97	12	31	probability	probability	NOUN
hjic-97	12	32	density	density	NOUN
hjic-97	12	33	function	function	VERB
hjic-97	12	34	]	]	PUNCT
hjic-97	12	35	.)(exp	.)(exp	PUNCT
hjic-97	13	1	[	[	X
hjic-97	13	2	)	)	PUNCT
hjic-97	13	3	)	)	PUNCT
hjic-97	13	4	(	(	PUNCT
hjic-97	13	5	(	(	PUNCT
hjic-97	13	6	)	)	PUNCT
hjic-97	13	7	(	(	PUNCT
hjic-97	13	8	1	1	NUM
hjic-97	13	9	ββ	ββ	NOUN
hjic-97	13	10	β	β	NOUN
hjic-97	13	11	α	α	NOUN
hjic-97	13	12	µµ	µµ	ADP
hjic-97	13	13	α	α	X
hjic-97	13	14	β	β	NOUN
hjic-97	13	15	−	−	NOUN
hjic-97	13	16	−−=	−−=	PROPN
hjic-97	14	1	−	−	PROPN
hjic-97	14	2	tttf	tttf	NOUN
hjic-97	14	3	(	(	PUNCT
hjic-97	14	4	2	2	NUM
hjic-97	14	5	)	)	PUNCT
hjic-97	14	6	the	the	DET
hjic-97	14	7	data	datum	NOUN
hjic-97	14	8	are	be	AUX
hjic-97	14	9	in	in	ADP
hjic-97	14	10	the	the	DET
hjic-97	14	11	form	form	NOUN
hjic-97	14	12	of	of	ADP
hjic-97	14	13	time	time	NOUN
hjic-97	14	14	to	to	ADP
hjic-97	14	15	failure	failure	NOUN
hjic-97	14	16	for	for	ADP
hjic-97	14	17	n	n	CCONJ
hjic-97	14	18	similar	similar	ADJ
hjic-97	14	19	items	item	NOUN
hjic-97	14	20	arranged	arrange	VERB
hjic-97	14	21	in	in	ADP
hjic-97	14	22	order	order	NOUN
hjic-97	14	23	so	so	SCONJ
hjic-97	14	24	that	that	SCONJ
hjic-97	14	25	t1	t1	NOUN
hjic-97	14	26	is	be	AUX
hjic-97	14	27	the	the	DET
hjic-97	14	28	time	time	NOUN
hjic-97	14	29	to	to	ADP
hjic-97	14	30	failure	failure	NOUN
hjic-97	14	31	of	of	ADP
hjic-97	14	32	the	the	DET
hjic-97	14	33	first	first	ADJ
hjic-97	14	34	item	item	NOUN
hjic-97	14	35	and	and	CCONJ
hjic-97	14	36	tn	tn	NOUN
hjic-97	14	37	is	be	AUX
hjic-97	14	38	the	the	DET
hjic-97	14	39	time	time	NOUN
hjic-97	14	40	to	to	ADP
hjic-97	14	41	failure	failure	NOUN
hjic-97	14	42	for	for	ADP
hjic-97	14	43	the	the	DET
hjic-97	14	44	nth	nth	NOUN
hjic-97	14	45	item	item	NOUN
hjic-97	14	46	.	.	PUNCT
hjic-97	15	1	statistically	statistically	ADV
hjic-97	15	2	,	,	PUNCT
hjic-97	15	3	a	a	DET
hjic-97	15	4	good	good	ADJ
hjic-97	15	5	estimate	estimate	NOUN
hjic-97	15	6	for	for	ADP
hjic-97	15	7	the	the	DET
hjic-97	15	8	weibull	weibull	PROPN
hjic-97	15	9	cumulative	cumulative	ADJ
hjic-97	15	10	distribution	distribution	NOUN
hjic-97	15	11	function	function	NOUN
hjic-97	15	12	for	for	ADP
hjic-97	15	13	n	n	PRON
hjic-97	15	14	data	datum	NOUN
hjic-97	15	15	points	point	NOUN
hjic-97	15	16	,	,	PUNCT
hjic-97	15	17	as	as	SCONJ
hjic-97	15	18	suggested	suggest	VERB
hjic-97	15	19	by	by	ADP
hjic-97	15	20	o’conner	o’conner	PROPN
hjic-97	15	21	[	[	X
hjic-97	15	22	1	1	X
hjic-97	15	23	]	]	PUNCT
hjic-97	15	24	and	and	CCONJ
hjic-97	15	25	used	use	VERB
hjic-97	15	26	recently	recently	ADV
hjic-97	15	27	by	by	ADP
hjic-97	15	28	hung	hung	PROPN
hjic-97	16	1	[	[	X
hjic-97	16	2	2	2	NUM
hjic-97	16	3	]	]	PUNCT
hjic-97	16	4	,	,	PUNCT
hjic-97	16	5	is	be	AUX
hjic-97	16	6	4.0	4.0	NUM
hjic-97	16	7	3.0	3.0	NUM
hjic-97	16	8	)	)	PUNCT
hjic-97	16	9	(	(	PUNCT
hjic-97	17	1	+	+	CCONJ
hjic-97	17	2	−	−	NOUN
hjic-97	17	3	=	=	SYM
hjic-97	17	4	n	n	NOUN
hjic-97	17	5	iifs	iifs	NOUN
hjic-97	17	6	.	.	PUNCT
hjic-97	18	1	(	(	PUNCT
hjic-97	18	2	3	3	X
hjic-97	18	3	)	)	PUNCT
hjic-97	18	4	the	the	DET
hjic-97	18	5	problem	problem	NOUN
hjic-97	18	6	is	be	AUX
hjic-97	18	7	to	to	PART
hjic-97	18	8	estimate	estimate	VERB
hjic-97	18	9	the	the	DET
hjic-97	18	10	parameters	parameter	NOUN
hjic-97	18	11	µ	µ	NOUN
hjic-97	18	12	,	,	PUNCT
hjic-97	18	13	α	α	NOUN
hjic-97	18	14	,	,	PUNCT
hjic-97	18	15	and	and	CCONJ
hjic-97	18	16	β	β	X
hjic-97	18	17	from	from	ADP
hjic-97	18	18	a	a	DET
hjic-97	18	19	given	give	VERB
hjic-97	18	20	reliability	reliability	NOUN
hjic-97	18	21	data	datum	NOUN
hjic-97	18	22	set	set	VERB
hjic-97	18	23	.	.	PUNCT
hjic-97	19	1	there	there	PRON
hjic-97	19	2	are	be	VERB
hjic-97	19	3	three	three	NUM
hjic-97	19	4	approaches	approach	NOUN
hjic-97	19	5	that	that	PRON
hjic-97	19	6	may	may	AUX
hjic-97	19	7	be	be	AUX
hjic-97	19	8	used	use	VERB
hjic-97	19	9	to	to	PART
hjic-97	19	10	obtain	obtain	VERB
hjic-97	19	11	the	the	DET
hjic-97	19	12	parameters	parameter	NOUN
hjic-97	19	13	,	,	PUNCT
hjic-97	19	14	depending	depend	VERB
hjic-97	19	15	on	on	ADP
hjic-97	19	16	the	the	DET
hjic-97	19	17	criterion	criterion	NOUN
hjic-97	19	18	used	use	VERB
hjic-97	19	19	for	for	ADP
hjic-97	19	20	optimization	optimization	NOUN
hjic-97	19	21	.	.	PUNCT
hjic-97	20	1	errors	error	NOUN
hjic-97	20	2	-	-	PUNCT
hjic-97	20	3	in	in	ADP
hjic-97	20	4	-	-	PUNCT
hjic-97	20	5	variables	variable	NOUN
hjic-97	20	6	estimation	estimation	NOUN
hjic-97	20	7	(	(	PUNCT
hjic-97	20	8	eiv	eiv	PROPN
hjic-97	20	9	)	)	PUNCT
hjic-97	20	10	recently	recently	ADV
hjic-97	20	11	,	,	PUNCT
hjic-97	20	12	errors	error	NOUN
hjic-97	20	13	-	-	PUNCT
hjic-97	20	14	in	in	ADP
hjic-97	20	15	-	-	PUNCT
hjic-97	20	16	variables	variable	NOUN
hjic-97	20	17	approach	approach	NOUN
hjic-97	20	18	has	have	AUX
hjic-97	20	19	been	be	AUX
hjic-97	20	20	found	find	VERB
hjic-97	20	21	useful	useful	ADJ
hjic-97	20	22	for	for	ADP
hjic-97	20	23	parameter	parameter	NOUN
hjic-97	20	24	estimation	estimation	NOUN
hjic-97	20	25	where	where	SCONJ
hjic-97	20	26	there	there	PRON
hjic-97	20	27	is	be	VERB
hjic-97	20	28	a	a	DET
hjic-97	20	29	significant	significant	ADJ
hjic-97	20	30	error	error	NOUN
hjic-97	20	31	in	in	ADP
hjic-97	20	32	the	the	DET
hjic-97	20	33	independent	independent	ADJ
hjic-97	20	34	variables	variable	NOUN
hjic-97	20	35	[	[	X
hjic-97	20	36	3	3	NUM
hjic-97	20	37	]	]	PUNCT
hjic-97	20	38	.	.	PUNCT
hjic-97	21	1	instead	instead	ADV
hjic-97	21	2	of	of	ADP
hjic-97	21	3	estimating	estimate	VERB
hjic-97	21	4	only	only	ADV
hjic-97	21	5	the	the	DET
hjic-97	21	6	parameters	parameter	NOUN
hjic-97	21	7	,	,	PUNCT
hjic-97	21	8	the	the	DET
hjic-97	21	9	method	method	NOUN
hjic-97	21	10	also	also	ADV
hjic-97	21	11	estimates	estimate	VERB
hjic-97	21	12	the	the	DET
hjic-97	21	13	values	value	NOUN
hjic-97	21	14	of	of	ADP
hjic-97	21	15	the	the	DET
hjic-97	21	16	independent	independent	ADJ
hjic-97	21	17	variables	variable	NOUN
hjic-97	21	18	.	.	PUNCT
hjic-97	22	1	here	here	ADV
hjic-97	22	2	we	we	PRON
hjic-97	22	3	choose	choose	VERB
hjic-97	22	4	the	the	DET
hjic-97	22	5	performance	performance	NOUN
hjic-97	22	6	index	index	NOUN
hjic-97	22	7	to	to	PART
hjic-97	22	8	be	be	AUX
hjic-97	22	9	minimized	minimize	VERB
hjic-97	22	10	as	as	ADP
hjic-97	22	11	∑	∑	PUNCT
hjic-97	22	12	−=	−=	VERB
hjic-97	22	13	=	=	NOUN
hjic-97	22	14	n	n	CCONJ
hjic-97	22	15	i	i	PRON
hjic-97	22	16	sii	sii	NOUN
hjic-97	22	17	tti	tti	PROPN
hjic-97	22	18	1	1	NUM
hjic-97	22	19	2	2	NUM
hjic-97	22	20	)	)	PUNCT
hjic-97	22	21	(	(	PUNCT
hjic-97	22	22	(	(	PUNCT
hjic-97	22	23	4	4	X
hjic-97	22	24	)	)	PUNCT
hjic-97	22	25	where	where	SCONJ
hjic-97	22	26	ti	ti	PRON
hjic-97	22	27	are	be	AUX
hjic-97	22	28	the	the	DET
hjic-97	22	29	actual	actual	ADJ
hjic-97	22	30	measured	measure	VERB
hjic-97	22	31	times	time	NOUN
hjic-97	22	32	to	to	ADP
hjic-97	22	33	failure	failure	NOUN
hjic-97	22	34	and	and	CCONJ
hjic-97	22	35	(	(	PUNCT
hjic-97	22	36	5	5	NUM
hjic-97	22	37	)	)	PUNCT
hjic-97	22	38	βαµ	βαµ	VERB
hjic-97	23	1	/1))](1ln	/1))](1ln	NOUN
hjic-97	23	2	(	(	PUNCT
hjic-97	23	3	[	[	PUNCT
hjic-97	23	4	ift	ift	PROPN
hjic-97	23	5	ssi	ssi	PROPN
hjic-97	23	6	−−+=	−−+=	PRON
hjic-97	23	7	which	which	PRON
hjic-97	23	8	,	,	PUNCT
hjic-97	23	9	with	with	ADP
hjic-97	23	10	the	the	DET
hjic-97	23	11	use	use	NOUN
hjic-97	23	12	of	of	ADP
hjic-97	23	13	eq.(3	eq.(3	NOUN
hjic-97	23	14	)	)	PUNCT
hjic-97	23	15	,	,	PUNCT
hjic-97	23	16	becomes	become	VERB
hjic-97	23	17	70	70	NUM
hjic-97	23	18	βαµ	βαµ	NOUN
hjic-97	23	19	/1	/1	NOUN
hjic-97	23	20	)	)	PUNCT
hjic-97	23	21	]	]	PUNCT
hjic-97	23	22	4.0	4.0	NUM
hjic-97	23	23	3.01ln	3.01ln	NUM
hjic-97	23	24	(	(	PUNCT
hjic-97	23	25	[	[	PUNCT
hjic-97	23	26	+	+	CCONJ
hjic-97	23	27	−	−	NOUN
hjic-97	23	28	−−+=	−−+=	NUM
hjic-97	23	29	n	n	NOUN
hjic-97	23	30	itsi	itsi	NOUN
hjic-97	23	31	.	.	PUNCT
hjic-97	24	1	(	(	PUNCT
hjic-97	24	2	6	6	X
hjic-97	24	3	)	)	PUNCT
hjic-97	24	4	maximum	maximum	ADJ
hjic-97	24	5	likelihood	likelihood	NOUN
hjic-97	24	6	estimation	estimation	NOUN
hjic-97	24	7	(	(	PUNCT
hjic-97	24	8	ml	ml	ADP
hjic-97	24	9	)	)	PUNCT
hjic-97	24	10	the	the	DET
hjic-97	24	11	likelihood	likelihood	NOUN
hjic-97	24	12	function	function	NOUN
hjic-97	24	13	is	be	AUX
hjic-97	24	14	the	the	DET
hjic-97	24	15	product	product	NOUN
hjic-97	24	16	of	of	ADP
hjic-97	24	17	the	the	DET
hjic-97	24	18	individual	individual	ADJ
hjic-97	24	19	probability	probability	NOUN
hjic-97	24	20	density	density	NOUN
hjic-97	24	21	functions	function	NOUN
hjic-97	24	22	.	.	PUNCT
hjic-97	25	1	thus	thus	ADV
hjic-97	25	2	the	the	DET
hjic-97	25	3	aim	aim	NOUN
hjic-97	25	4	is	be	AUX
hjic-97	25	5	to	to	PART
hjic-97	25	6	maximize	maximize	VERB
hjic-97	25	7	the	the	DET
hjic-97	25	8	likelihood	likelihood	NOUN
hjic-97	25	9	function	function	NOUN
hjic-97	25	10	∏=	∏=	NOUN
hjic-97	26	1	=	=	SYM
hjic-97	26	2	n	n	X
hjic-97	26	3	i	i	PRON
hjic-97	26	4	itfl	itfl	VERB
hjic-97	26	5	1	1	NUM
hjic-97	26	6	)	)	PUNCT
hjic-97	26	7	(	(	PUNCT
hjic-97	26	8	(	(	PUNCT
hjic-97	26	9	7	7	X
hjic-97	26	10	)	)	PUNCT
hjic-97	26	11	which	which	PRON
hjic-97	26	12	is	be	AUX
hjic-97	26	13	written	write	VERB
hjic-97	26	14	as	as	ADP
hjic-97	26	15	]	]	PUNCT
hjic-97	26	16	.)(exp	.)(exp	PROPN
hjic-97	26	17	[	[	X
hjic-97	26	18	)	)	PUNCT
hjic-97	26	19	)	)	PUNCT
hjic-97	26	20	(	(	PUNCT
hjic-97	26	21	(	(	PUNCT
hjic-97	26	22	1	1	NUM
hjic-97	26	23	1	1	NUM
hjic-97	26	24	ββ	ββ	NOUN
hjic-97	26	25	β	β	PROPN
hjic-97	26	26	α	α	X
hjic-97	26	27	µ	µ	X
hjic-97	26	28	µ	µ	X
hjic-97	26	29	α	α	NOUN
hjic-97	26	30	β	β	NOUN
hjic-97	26	31	−	−	NOUN
hjic-97	27	1	−−∏=	−−∏=	PRON
hjic-97	28	1	−	−	PROPN
hjic-97	29	1	=	=	SYM
hjic-97	29	2	i	i	PRON
hjic-97	30	1	i	i	PRON
hjic-97	31	1	n	n	VERB
hjic-97	32	1	i	i	PRON
hjic-97	32	2	t	t	X
hjic-97	32	3	tl	tl	PROPN
hjic-97	32	4	(	(	PUNCT
hjic-97	32	5	8)	8)	NUM
hjic-97	32	6	to	to	PART
hjic-97	32	7	prevent	prevent	VERB
hjic-97	32	8	computational	computational	ADJ
hjic-97	32	9	difficulties	difficulty	NOUN
hjic-97	32	10	,	,	PUNCT
hjic-97	32	11	it	it	PRON
hjic-97	32	12	is	be	AUX
hjic-97	32	13	further	far	ADV
hjic-97	32	14	specified	specify	VERB
hjic-97	32	15	that	that	SCONJ
hjic-97	32	16	β	β	PROPN
hjic-97	32	17	≥	≥	NUM
hjic-97	32	18	1	1	NUM
hjic-97	32	19	.	.	PUNCT
hjic-97	33	1	otherwise	otherwise	ADV
hjic-97	33	2	,	,	PUNCT
hjic-97	33	3	if	if	SCONJ
hjic-97	33	4	β	β	X
hjic-97	33	5	<	<	X
hjic-97	33	6	1	1	NUM
hjic-97	33	7	and	and	CCONJ
hjic-97	33	8	if	if	SCONJ
hjic-97	33	9	µ	µ	PRON
hjic-97	33	10	is	be	AUX
hjic-97	33	11	very	very	ADV
hjic-97	33	12	close	close	ADJ
hjic-97	33	13	to	to	PART
hjic-97	33	14	t1	t1	VERB
hjic-97	33	15	,	,	PUNCT
hjic-97	33	16	the	the	DET
hjic-97	33	17	term	term	NOUN
hjic-97	33	18	(	(	PUNCT
hjic-97	33	19	t1	t1	NOUN
hjic-97	33	20	µ	µ	NUM
hjic-97	33	21	)	)	PUNCT
hjic-97	33	22	β-1	β-1	NOUN
hjic-97	33	23	becomes	become	VERB
hjic-97	33	24	very	very	ADV
hjic-97	33	25	large	large	ADJ
hjic-97	33	26	.	.	PUNCT
hjic-97	34	1	least	least	ADJ
hjic-97	34	2	squares	square	NOUN
hjic-97	34	3	estimation	estimation	NOUN
hjic-97	34	4	(	(	PUNCT
hjic-97	34	5	ls	ls	PROPN
hjic-97	34	6	)	)	PUNCT
hjic-97	34	7	an	an	DET
hjic-97	34	8	alternative	alternative	NOUN
hjic-97	34	9	to	to	ADP
hjic-97	34	10	the	the	DET
hjic-97	34	11	above	above	ADJ
hjic-97	34	12	two	two	NUM
hjic-97	34	13	methods	method	NOUN
hjic-97	34	14	is	be	AUX
hjic-97	34	15	to	to	PART
hjic-97	34	16	consider	consider	VERB
hjic-97	34	17	as	as	ADP
hjic-97	34	18	a	a	DET
hjic-97	34	19	performance	performance	NOUN
hjic-97	34	20	index	index	NOUN
hjic-97	34	21	the	the	DET
hjic-97	34	22	sum	sum	NOUN
hjic-97	34	23	of	of	ADP
hjic-97	34	24	squares	square	NOUN
hjic-97	34	25	of	of	ADP
hjic-97	34	26	deviations	deviation	NOUN
hjic-97	34	27	of	of	ADP
hjic-97	34	28	the	the	DET
hjic-97	34	29	cumulative	cumulative	ADJ
hjic-97	34	30	distribution	distribution	NOUN
hjic-97	34	31	functions	function	NOUN
hjic-97	34	32	∑	∑	PUNCT
hjic-97	34	33	−=	−=	VERB
hjic-97	34	34	=	=	SYM
hjic-97	34	35	n	n	CCONJ
hjic-97	34	36	i	i	NOUN
hjic-97	34	37	si	si	PROPN
hjic-97	34	38	iftfs	iftfs	PROPN
hjic-97	34	39	1	1	NUM
hjic-97	34	40	2	2	NUM
hjic-97	34	41	)	)	PUNCT
hjic-97	34	42	]	]	PUNCT
hjic-97	34	43	(	(	PUNCT
hjic-97	34	44	)	)	PUNCT
hjic-97	34	45	(	(	PUNCT
hjic-97	34	46	[	[	PUNCT
hjic-97	34	47	(	(	PUNCT
hjic-97	34	48	9	9	X
hjic-97	34	49	)	)	PUNCT
hjic-97	34	50	substituting	substituting	NOUN
hjic-97	34	51	eq.(1	eq.(1	ADJ
hjic-97	34	52	)	)	PUNCT
hjic-97	34	53	and	and	CCONJ
hjic-97	34	54	eq.(3	eq.(3	NOUN
hjic-97	34	55	)	)	PUNCT
hjic-97	34	56	into	into	ADP
hjic-97	34	57	eq.(9	eq.(9	ADJ
hjic-97	34	58	)	)	PUNCT
hjic-97	34	59	gives	give	VERB
hjic-97	34	60	∑	∑	PROPN
hjic-97	34	61	+	+	NUM
hjic-97	34	62	−	−	PROPN
hjic-97	34	63	−	−	PROPN
hjic-97	34	64	−	−	PROPN
hjic-97	35	1	−−=	−−=	NOUN
hjic-97	35	2	=	=	PUNCT
hjic-97	36	1	n	n	CCONJ
hjic-97	36	2	i	i	PRON
hjic-97	37	1	i	i	PRON
hjic-97	37	2	n	n	VERB
hjic-97	38	1	it	it	PRON
hjic-97	38	2	s	s	VERB
hjic-97	38	3	1	1	NUM
hjic-97	38	4	2	2	NUM
hjic-97	38	5	]	]	SYM
hjic-97	38	6	4.0	4.0	NUM
hjic-97	38	7	3.0])(exp[1	3.0])(exp[1	NUM
hjic-97	38	8	[	[	PUNCT
hjic-97	38	9	β	β	X
hjic-97	38	10	α	α	X
hjic-97	38	11	µ	µ	PROPN
hjic-97	38	12	.	.	PUNCT
hjic-97	39	1	(	(	PUNCT
hjic-97	39	2	10	10	NUM
hjic-97	39	3	)	)	PUNCT
hjic-97	39	4	the	the	DET
hjic-97	39	5	values	value	NOUN
hjic-97	39	6	of	of	ADP
hjic-97	39	7	the	the	DET
hjic-97	39	8	three	three	NUM
hjic-97	39	9	parameters	parameter	NOUN
hjic-97	39	10	α	α	NOUN
hjic-97	39	11	,	,	PUNCT
hjic-97	39	12	β	β	NOUN
hjic-97	39	13	,	,	PUNCT
hjic-97	39	14	and	and	CCONJ
hjic-97	39	15	µ	µ	PRON
hjic-97	39	16	obtained	obtain	VERB
hjic-97	39	17	from	from	ADP
hjic-97	39	18	a	a	DET
hjic-97	39	19	set	set	NOUN
hjic-97	39	20	of	of	ADP
hjic-97	39	21	data	datum	NOUN
hjic-97	39	22	will	will	AUX
hjic-97	39	23	depend	depend	VERB
hjic-97	39	24	on	on	ADP
hjic-97	39	25	the	the	DET
hjic-97	39	26	choice	choice	NOUN
hjic-97	39	27	of	of	ADP
hjic-97	39	28	the	the	DET
hjic-97	39	29	performance	performance	NOUN
hjic-97	39	30	index	index	NOUN
hjic-97	39	31	.	.	PUNCT
hjic-97	40	1	the	the	DET
hjic-97	40	2	goal	goal	NOUN
hjic-97	40	3	here	here	ADV
hjic-97	40	4	is	be	AUX
hjic-97	40	5	to	to	PART
hjic-97	40	6	examine	examine	VERB
hjic-97	40	7	the	the	DET
hjic-97	40	8	parameters	parameter	NOUN
hjic-97	40	9	obtained	obtain	VERB
hjic-97	40	10	by	by	ADP
hjic-97	40	11	these	these	DET
hjic-97	40	12	three	three	NUM
hjic-97	40	13	performance	performance	NOUN
hjic-97	40	14	indices	indice	VERB
hjic-97	40	15	i	i	PRON
hjic-97	40	16	,	,	PUNCT
hjic-97	40	17	l	l	PROPN
hjic-97	40	18	,	,	PUNCT
hjic-97	40	19	and	and	CCONJ
hjic-97	40	20	s.	s.	PROPN
hjic-97	40	21	optimization	optimization	NOUN
hjic-97	40	22	procedure	procedure	NOUN
hjic-97	40	23	to	to	PART
hjic-97	40	24	obtain	obtain	VERB
hjic-97	40	25	the	the	DET
hjic-97	40	26	three	three	NUM
hjic-97	40	27	parameters	parameter	NOUN
hjic-97	40	28	,	,	PUNCT
hjic-97	40	29	we	we	PRON
hjic-97	40	30	decided	decide	VERB
hjic-97	40	31	to	to	PART
hjic-97	40	32	use	use	VERB
hjic-97	40	33	direct	direct	ADJ
hjic-97	40	34	search	search	NOUN
hjic-97	40	35	optimization	optimization	NOUN
hjic-97	40	36	,	,	PUNCT
hjic-97	40	37	so	so	SCONJ
hjic-97	40	38	that	that	SCONJ
hjic-97	40	39	no	no	DET
hjic-97	40	40	transformations	transformation	NOUN
hjic-97	40	41	or	or	CCONJ
hjic-97	40	42	auxiliary	auxiliary	ADJ
hjic-97	40	43	variables	variable	NOUN
hjic-97	40	44	would	would	AUX
hjic-97	40	45	have	have	VERB
hjic-97	40	46	to	to	PART
hjic-97	40	47	be	be	AUX
hjic-97	40	48	calculated	calculate	VERB
hjic-97	40	49	.	.	PUNCT
hjic-97	41	1	there	there	PRON
hjic-97	41	2	are	be	VERB
hjic-97	41	3	numerous	numerous	ADJ
hjic-97	41	4	direct	direct	ADJ
hjic-97	41	5	search	search	NOUN
hjic-97	41	6	optimization	optimization	NOUN
hjic-97	41	7	procedures	procedure	NOUN
hjic-97	41	8	that	that	PRON
hjic-97	41	9	may	may	AUX
hjic-97	41	10	be	be	AUX
hjic-97	41	11	used	use	VERB
hjic-97	41	12	.	.	PUNCT
hjic-97	42	1	recently	recently	ADV
hjic-97	42	2	,	,	PUNCT
hjic-97	42	3	genetic	genetic	ADJ
hjic-97	42	4	algorithm	algorithm	NOUN
hjic-97	42	5	has	have	AUX
hjic-97	42	6	been	be	AUX
hjic-97	42	7	favored	favor	VERB
hjic-97	42	8	by	by	ADP
hjic-97	42	9	some	some	PRON
hjic-97	42	10	,	,	PUNCT
hjic-97	42	11	but	but	CCONJ
hjic-97	42	12	recent	recent	ADJ
hjic-97	42	13	comparison	comparison	NOUN
hjic-97	42	14	of	of	ADP
hjic-97	42	15	the	the	DET
hjic-97	42	16	genetic	genetic	ADJ
hjic-97	42	17	algorithm	algorithm	NOUN
hjic-97	42	18	to	to	ADP
hjic-97	42	19	the	the	DET
hjic-97	42	20	direct	direct	ADJ
hjic-97	42	21	search	search	NOUN
hjic-97	42	22	procedure	procedure	NOUN
hjic-97	42	23	introduced	introduce	VERB
hjic-97	42	24	by	by	ADP
hjic-97	42	25	luus	luus	NOUN
hjic-97	42	26	and	and	CCONJ
hjic-97	42	27	jaakola	jaakola	X
hjic-97	43	1	[	[	X
hjic-97	43	2	4	4	NUM
hjic-97	43	3	]	]	PUNCT
hjic-97	43	4	,	,	PUNCT
hjic-97	43	5	and	and	CCONJ
hjic-97	43	6	refined	refine	VERB
hjic-97	43	7	recently	recently	ADV
hjic-97	43	8	by	by	ADP
hjic-97	43	9	luus	luus	NOUN
hjic-97	43	10	[	[	X
hjic-97	43	11	5	5	NUM
hjic-97	43	12	-	-	SYM
hjic-97	43	13	7	7	NUM
hjic-97	43	14	]	]	PUNCT
hjic-97	43	15	,	,	PUNCT
hjic-97	43	16	showed	show	VERB
hjic-97	43	17	that	that	SCONJ
hjic-97	43	18	the	the	DET
hjic-97	43	19	lj	lj	PROPN
hjic-97	43	20	optimization	optimization	NOUN
hjic-97	43	21	procedure	procedure	NOUN
hjic-97	43	22	tends	tend	VERB
hjic-97	43	23	to	to	PART
hjic-97	43	24	be	be	AUX
hjic-97	43	25	somewhat	somewhat	ADV
hjic-97	43	26	faster	fast	ADJ
hjic-97	43	27	and	and	CCONJ
hjic-97	43	28	more	more	ADV
hjic-97	43	29	reliable	reliable	ADJ
hjic-97	43	30	than	than	ADP
hjic-97	43	31	the	the	DET
hjic-97	43	32	genetic	genetic	ADJ
hjic-97	43	33	algorithm	algorithm	NOUN
hjic-97	43	34	[	[	X
hjic-97	43	35	8	8	NUM
hjic-97	43	36	]	]	PUNCT
hjic-97	43	37	.	.	PUNCT
hjic-97	44	1	therefore	therefore	ADV
hjic-97	44	2	,	,	PUNCT
hjic-97	44	3	we	we	PRON
hjic-97	44	4	used	use	VERB
hjic-97	44	5	the	the	DET
hjic-97	44	6	lj	lj	PROPN
hjic-97	44	7	optimization	optimization	NOUN
hjic-97	44	8	procedure	procedure	NOUN
hjic-97	44	9	for	for	ADP
hjic-97	44	10	the	the	DET
hjic-97	44	11	optimization	optimization	NOUN
hjic-97	44	12	.	.	PUNCT
hjic-97	45	1	the	the	DET
hjic-97	45	2	lj	lj	PROPN
hjic-97	45	3	optimization	optimization	NOUN
hjic-97	45	4	procedure	procedure	NOUN
hjic-97	45	5	involves	involve	VERB
hjic-97	45	6	taking	take	VERB
hjic-97	45	7	a	a	DET
hjic-97	45	8	number	number	NOUN
hjic-97	45	9	of	of	ADP
hjic-97	45	10	random	random	ADJ
hjic-97	45	11	sampling	sampling	NOUN
hjic-97	45	12	points	point	NOUN
hjic-97	45	13	over	over	ADP
hjic-97	45	14	a	a	DET
hjic-97	45	15	region	region	NOUN
hjic-97	45	16	,	,	PUNCT
hjic-97	45	17	finding	find	VERB
hjic-97	45	18	the	the	DET
hjic-97	45	19	best	good	ADJ
hjic-97	45	20	point	point	NOUN
hjic-97	45	21	,	,	PUNCT
hjic-97	45	22	and	and	CCONJ
hjic-97	45	23	then	then	ADV
hjic-97	45	24	using	use	VERB
hjic-97	45	25	the	the	DET
hjic-97	45	26	best	good	ADJ
hjic-97	45	27	point	point	NOUN
hjic-97	45	28	as	as	ADP
hjic-97	45	29	the	the	DET
hjic-97	45	30	centre	centre	NOUN
hjic-97	45	31	of	of	ADP
hjic-97	45	32	the	the	DET
hjic-97	45	33	region	region	NOUN
hjic-97	45	34	for	for	ADP
hjic-97	45	35	the	the	DET
hjic-97	45	36	next	next	ADJ
hjic-97	45	37	iteration	iteration	NOUN
hjic-97	45	38	.	.	PUNCT
hjic-97	46	1	however	however	ADV
hjic-97	46	2	,	,	PUNCT
hjic-97	46	3	at	at	ADP
hjic-97	46	4	the	the	DET
hjic-97	46	5	beginning	beginning	NOUN
hjic-97	46	6	of	of	ADP
hjic-97	46	7	this	this	DET
hjic-97	46	8	iteration	iteration	NOUN
hjic-97	46	9	the	the	DET
hjic-97	46	10	region	region	NOUN
hjic-97	46	11	size	size	NOUN
hjic-97	46	12	is	be	AUX
hjic-97	46	13	reduced	reduce	VERB
hjic-97	46	14	by	by	ADP
hjic-97	46	15	a	a	DET
hjic-97	46	16	factor	factor	NOUN
hjic-97	46	17	γ	γ	X
hjic-97	46	18	<	<	X
hjic-97	46	19	1	1	NUM
hjic-97	46	20	to	to	PART
hjic-97	46	21	make	make	VERB
hjic-97	46	22	the	the	DET
hjic-97	46	23	search	search	NOUN
hjic-97	46	24	more	more	ADV
hjic-97	46	25	intensive	intensive	ADJ
hjic-97	46	26	around	around	ADP
hjic-97	46	27	the	the	DET
hjic-97	46	28	best	good	ADJ
hjic-97	46	29	point	point	NOUN
hjic-97	46	30	.	.	PUNCT
hjic-97	47	1	this	this	DET
hjic-97	47	2	procedure	procedure	NOUN
hjic-97	47	3	is	be	AUX
hjic-97	47	4	continued	continue	VERB
hjic-97	47	5	for	for	SCONJ
hjic-97	47	6	a	a	DET
hjic-97	47	7	number	number	NOUN
hjic-97	47	8	of	of	ADP
hjic-97	47	9	iterations	iteration	NOUN
hjic-97	47	10	to	to	PART
hjic-97	47	11	finish	finish	VERB
hjic-97	47	12	a	a	DET
hjic-97	47	13	pass	pass	NOUN
hjic-97	47	14	.	.	PUNCT
hjic-97	48	1	since	since	SCONJ
hjic-97	48	2	it	it	PRON
hjic-97	48	3	is	be	AUX
hjic-97	48	4	desirable	desirable	ADJ
hjic-97	48	5	to	to	PART
hjic-97	48	6	obtain	obtain	VERB
hjic-97	48	7	the	the	DET
hjic-97	48	8	optimum	optimum	ADJ
hjic-97	48	9	value	value	NOUN
hjic-97	48	10	of	of	ADP
hjic-97	48	11	the	the	DET
hjic-97	48	12	performance	performance	NOUN
hjic-97	48	13	index	index	NOUN
hjic-97	48	14	very	very	ADV
hjic-97	48	15	accurately	accurately	ADV
hjic-97	48	16	,	,	PUNCT
hjic-97	48	17	a	a	DET
hjic-97	48	18	number	number	NOUN
hjic-97	48	19	of	of	ADP
hjic-97	48	20	passes	pass	NOUN
hjic-97	48	21	is	be	AUX
hjic-97	48	22	usually	usually	ADV
hjic-97	48	23	necessary	necessary	ADJ
hjic-97	48	24	.	.	PUNCT
hjic-97	49	1	the	the	DET
hjic-97	49	2	algorithm	algorithm	NOUN
hjic-97	49	3	for	for	ADP
hjic-97	49	4	the	the	DET
hjic-97	49	5	lj	lj	PROPN
hjic-97	49	6	optimization	optimization	NOUN
hjic-97	49	7	procedure	procedure	NOUN
hjic-97	49	8	is	be	AUX
hjic-97	49	9	given	give	VERB
hjic-97	49	10	by	by	ADP
hjic-97	49	11	luus	luus	NOUN
hjic-97	49	12	[	[	X
hjic-97	49	13	9	9	NUM
hjic-97	49	14	]	]	PUNCT
hjic-97	49	15	.	.	PUNCT
hjic-97	50	1	we	we	PRON
hjic-97	50	2	used	use	VERB
hjic-97	50	3	a	a	DET
hjic-97	50	4	multi	multi	ADJ
hjic-97	50	5	-	-	ADJ
hjic-97	50	6	pass	pass	ADJ
hjic-97	50	7	procedure	procedure	NOUN
hjic-97	50	8	,	,	PUNCT
hjic-97	50	9	involving	involve	VERB
hjic-97	50	10	25	25	NUM
hjic-97	50	11	passes	pass	NOUN
hjic-97	50	12	,	,	PUNCT
hjic-97	50	13	each	each	PRON
hjic-97	50	14	consisting	consist	VERB
hjic-97	50	15	of	of	ADP
hjic-97	50	16	21	21	NUM
hjic-97	50	17	iterations	iteration	NOUN
hjic-97	50	18	.	.	PUNCT
hjic-97	51	1	the	the	DET
hjic-97	51	2	initial	initial	ADJ
hjic-97	51	3	values	value	NOUN
hjic-97	51	4	for	for	ADP
hjic-97	51	5	the	the	DET
hjic-97	51	6	parameters	parameter	NOUN
hjic-97	51	7	were	be	AUX
hjic-97	51	8	:	:	PUNCT
hjic-97	51	9	µ	µ	X
hjic-97	51	10	=	=	SYM
hjic-97	51	11	0.5	0.5	NUM
hjic-97	51	12	t1	t1	NOUN
hjic-97	51	13	,	,	PUNCT
hjic-97	51	14	α	α	X
hjic-97	51	15	=	=	SYM
hjic-97	51	16	t1	t1	PROPN
hjic-97	51	17	,	,	PUNCT
hjic-97	51	18	β	β	X
hjic-97	51	19	=	=	PUNCT
hjic-97	51	20	2.0	2.0	NUM
hjic-97	51	21	,	,	PUNCT
hjic-97	51	22	and	and	CCONJ
hjic-97	51	23	the	the	DET
hjic-97	51	24	initial	initial	ADJ
hjic-97	51	25	region	region	NOUN
hjic-97	51	26	size	size	NOUN
hjic-97	51	27	for	for	ADP
hjic-97	51	28	the	the	DET
hjic-97	51	29	first	first	ADJ
hjic-97	51	30	pass	pass	NOUN
hjic-97	51	31	was	be	AUX
hjic-97	51	32	taken	take	VERB
hjic-97	51	33	as	as	ADP
hjic-97	51	34	0.5	0.5	NUM
hjic-97	51	35	times	time	NOUN
hjic-97	51	36	the	the	DET
hjic-97	51	37	initial	initial	ADJ
hjic-97	51	38	value	value	NOUN
hjic-97	51	39	.	.	PUNCT
hjic-97	52	1	after	after	ADP
hjic-97	52	2	every	every	DET
hjic-97	52	3	iteration	iteration	NOUN
hjic-97	52	4	the	the	DET
hjic-97	52	5	region	region	NOUN
hjic-97	52	6	sizes	size	NOUN
hjic-97	52	7	were	be	AUX
hjic-97	52	8	reduced	reduce	VERB
hjic-97	52	9	by	by	ADP
hjic-97	52	10	γ	γ	X
hjic-97	52	11	=	=	NOUN
hjic-97	52	12	0.95	0.95	NUM
hjic-97	52	13	.	.	PUNCT
hjic-97	53	1	at	at	ADP
hjic-97	53	2	the	the	DET
hjic-97	53	3	beginning	beginning	NOUN
hjic-97	53	4	of	of	ADP
hjic-97	53	5	the	the	DET
hjic-97	53	6	second	second	ADJ
hjic-97	53	7	pass	pass	NOUN
hjic-97	53	8	,	,	PUNCT
hjic-97	53	9	the	the	DET
hjic-97	53	10	region	region	NOUN
hjic-97	53	11	sizes	size	NOUN
hjic-97	53	12	were	be	AUX
hjic-97	53	13	put	put	VERB
hjic-97	53	14	to	to	ADP
hjic-97	53	15	0.01	0.01	NUM
hjic-97	53	16	times	time	NOUN
hjic-97	53	17	the	the	DET
hjic-97	53	18	parameter	parameter	NOUN
hjic-97	53	19	values	value	NOUN
hjic-97	53	20	.	.	PUNCT
hjic-97	54	1	for	for	ADP
hjic-97	54	2	the	the	DET
hjic-97	54	3	remaining	remain	VERB
hjic-97	54	4	passes	pass	NOUN
hjic-97	54	5	,	,	PUNCT
hjic-97	54	6	the	the	DET
hjic-97	54	7	region	region	NOUN
hjic-97	54	8	size	size	NOUN
hjic-97	54	9	for	for	ADP
hjic-97	54	10	each	each	DET
hjic-97	54	11	parameter	parameter	NOUN
hjic-97	54	12	at	at	ADP
hjic-97	54	13	the	the	DET
hjic-97	54	14	beginning	beginning	NOUN
hjic-97	54	15	of	of	ADP
hjic-97	54	16	the	the	DET
hjic-97	54	17	pass	pass	NOUN
hjic-97	54	18	was	be	AUX
hjic-97	54	19	put	put	VERB
hjic-97	54	20	equal	equal	ADJ
hjic-97	54	21	to	to	ADP
hjic-97	54	22	the	the	DET
hjic-97	54	23	amount	amount	NOUN
hjic-97	54	24	by	by	ADP
hjic-97	54	25	which	which	PRON
hjic-97	54	26	the	the	DET
hjic-97	54	27	parameter	parameter	NOUN
hjic-97	54	28	changed	change	VERB
hjic-97	54	29	during	during	ADP
hjic-97	54	30	the	the	DET
hjic-97	54	31	previous	previous	ADJ
hjic-97	54	32	pass	pass	NOUN
hjic-97	54	33	.	.	PUNCT
hjic-97	55	1	if	if	SCONJ
hjic-97	55	2	this	this	DET
hjic-97	55	3	change	change	NOUN
hjic-97	55	4	,	,	PUNCT
hjic-97	55	5	divided	divide	VERB
hjic-97	55	6	by	by	ADP
hjic-97	55	7	the	the	DET
hjic-97	55	8	parameter	parameter	NOUN
hjic-97	55	9	value	value	NOUN
hjic-97	55	10	,	,	PUNCT
hjic-97	55	11	was	be	AUX
hjic-97	55	12	less	less	ADJ
hjic-97	55	13	than	than	ADP
hjic-97	55	14	10	10	NUM
hjic-97	55	15	-	-	SYM
hjic-97	55	16	6	6	NUM
hjic-97	55	17	,	,	PUNCT
hjic-97	55	18	then	then	ADV
hjic-97	55	19	the	the	DET
hjic-97	55	20	region	region	NOUN
hjic-97	55	21	size	size	NOUN
hjic-97	55	22	was	be	AUX
hjic-97	55	23	put	put	VERB
hjic-97	55	24	to	to	ADP
hjic-97	55	25	10	10	NUM
hjic-97	55	26	-	-	SYM
hjic-97	55	27	6	6	NUM
hjic-97	55	28	times	time	NOUN
hjic-97	55	29	the	the	DET
hjic-97	55	30	parameter	parameter	NOUN
hjic-97	55	31	value	value	NOUN
hjic-97	55	32	.	.	PUNCT
hjic-97	56	1	the	the	DET
hjic-97	56	2	parameter	parameter	NOUN
hjic-97	56	3	estimates	estimate	NOUN
hjic-97	56	4	were	be	AUX
hjic-97	56	5	run	run	VERB
hjic-97	56	6	with	with	ADP
hjic-97	56	7	r	r	NOUN
hjic-97	56	8	=	=	SYM
hjic-97	56	9	25	25	NUM
hjic-97	56	10	and	and	CCONJ
hjic-97	56	11	with	with	ADP
hjic-97	56	12	r	r	NOUN
hjic-97	56	13	=	=	SYM
hjic-97	56	14	100	100	NUM
hjic-97	56	15	random	random	ADJ
hjic-97	56	16	points	point	NOUN
hjic-97	56	17	per	per	ADP
hjic-97	56	18	iteration	iteration	NOUN
hjic-97	56	19	.	.	PUNCT
hjic-97	57	1	numerical	numerical	ADJ
hjic-97	57	2	results	result	NOUN
hjic-97	57	3	all	all	DET
hjic-97	57	4	computations	computation	NOUN
hjic-97	57	5	were	be	AUX
hjic-97	57	6	done	do	VERB
hjic-97	57	7	in	in	ADP
hjic-97	57	8	double	double	ADJ
hjic-97	57	9	precision	precision	NOUN
hjic-97	57	10	using	use	VERB
hjic-97	57	11	watcom	watcom	PROPN
hjic-97	57	12	fortran	fortran	PROPN
hjic-97	57	13	compiler	compiler	NOUN
hjic-97	57	14	version	version	NOUN
hjic-97	57	15	9.5	9.5	NUM
hjic-97	57	16	on	on	ADP
hjic-97	57	17	a	a	DET
hjic-97	57	18	pentium4/2.66ghz	pentium4/2.66ghz	NOUN
hjic-97	57	19	personal	personal	ADJ
hjic-97	57	20	computer	computer	NOUN
hjic-97	57	21	.	.	PUNCT
hjic-97	58	1	example	example	NOUN
hjic-97	59	1	1	1	NUM
hjic-97	59	2	:	:	PUNCT
hjic-97	59	3	lifetime	lifetime	NOUN
hjic-97	59	4	of	of	ADP
hjic-97	59	5	light	light	ADJ
hjic-97	59	6	bulbs	bulb	NOUN
hjic-97	59	7	as	as	ADP
hjic-97	59	8	the	the	DET
hjic-97	59	9	first	first	ADJ
hjic-97	59	10	example	example	NOUN
hjic-97	59	11	we	we	PRON
hjic-97	59	12	chose	choose	VERB
hjic-97	59	13	the	the	DET
hjic-97	59	14	data	datum	NOUN
hjic-97	59	15	of	of	ADP
hjic-97	59	16	walpole	walpole	PROPN
hjic-97	59	17	and	and	CCONJ
hjic-97	59	18	myers	myer	NOUN
hjic-97	59	19	[	[	X
hjic-97	59	20	10	10	NUM
hjic-97	59	21	]	]	PUNCT
hjic-97	59	22	relating	relate	VERB
hjic-97	59	23	to	to	ADP
hjic-97	59	24	the	the	DET
hjic-97	59	25	lifetimes	lifetime	NOUN
hjic-97	59	26	of	of	ADP
hjic-97	59	27	50	50	NUM
hjic-97	59	28	internally	internally	ADV
hjic-97	59	29	frosted	frosted	ADJ
hjic-97	59	30	incandescent	incandescent	NOUN
hjic-97	59	31	40	40	NUM
hjic-97	59	32	-	-	PUNCT
hjic-97	59	33	watt	watt	NOUN
hjic-97	59	34	110	110	NUM
hjic-97	59	35	-	-	PUNCT
hjic-97	59	36	volt	volt	NOUN
hjic-97	59	37	light	light	NOUN
hjic-97	59	38	bulbs	bulbs	PROPN
hjic-97	59	39	.	.	PUNCT
hjic-97	60	1	the	the	DET
hjic-97	60	2	shortest	short	ADJ
hjic-97	60	3	lifetime	lifetime	NOUN
hjic-97	60	4	was	be	AUX
hjic-97	60	5	702	702	NUM
hjic-97	60	6	h	h	NOUN
hjic-97	60	7	,	,	PUNCT
hjic-97	60	8	so	so	SCONJ
hjic-97	60	9	we	we	PRON
hjic-97	60	10	chose	choose	VERB
hjic-97	60	11	the	the	DET
hjic-97	60	12	initial	initial	ADJ
hjic-97	60	13	values	value	NOUN
hjic-97	60	14	:	:	PUNCT
hjic-97	60	15	µ	µ	X
hjic-97	60	16	=	=	SYM
hjic-97	60	17	351	351	NUM
hjic-97	60	18	,	,	PUNCT
hjic-97	60	19	α	α	NOUN
hjic-97	60	20	=	=	SYM
hjic-97	60	21	702	702	NUM
hjic-97	60	22	,	,	PUNCT
hjic-97	60	23	and	and	CCONJ
hjic-97	60	24	β	β	X
hjic-97	60	25	=	=	SYM
hjic-97	60	26	2	2	X
hjic-97	60	27	.	.	PUNCT
hjic-97	60	28	using	use	VERB
hjic-97	60	29	the	the	DET
hjic-97	60	30	eiv	eiv	PROPN
hjic-97	60	31	approach	approach	NOUN
hjic-97	60	32	,	,	PUNCT
hjic-97	60	33	after	after	ADP
hjic-97	60	34	25	25	NUM
hjic-97	60	35	passes	pass	NOUN
hjic-97	60	36	,	,	PUNCT
hjic-97	60	37	we	we	PRON
hjic-97	60	38	obtained	obtain	VERB
hjic-97	60	39	the	the	DET
hjic-97	60	40	minimum	minimum	ADJ
hjic-97	60	41	value	value	NOUN
hjic-97	61	1	i	i	NOUN
hjic-97	61	2	=	=	NOUN
hjic-97	61	3	1.754306594335	1.754306594335	NUM
hjic-97	61	4	×	×	NOUN
hjic-97	61	5	104	104	NUM
hjic-97	61	6	with	with	ADP
hjic-97	61	7	r	r	NOUN
hjic-97	61	8	=	=	NOUN
hjic-97	61	9	100	100	NUM
hjic-97	61	10	in	in	ADP
hjic-97	61	11	a	a	DET
hjic-97	61	12	total	total	ADJ
hjic-97	61	13	computation	computation	NOUN
hjic-97	61	14	time	time	NOUN
hjic-97	61	15	of	of	ADP
hjic-97	61	16	0.83	0.83	NUM
hjic-97	61	17	s	s	NOUN
hjic-97	61	18	,	,	PUNCT
hjic-97	61	19	and	and	CCONJ
hjic-97	61	20	i	i	NOUN
hjic-97	61	21	=	=	PROPN
hjic-97	62	1	1.754306594336	1.754306594336	NUM
hjic-97	62	2	×	×	NOUN
hjic-97	62	3	104	104	NUM
hjic-97	62	4	with	with	ADP
hjic-97	62	5	r	r	NOUN
hjic-97	62	6	=	=	NOUN
hjic-97	62	7	25	25	NUM
hjic-97	62	8	in	in	ADP
hjic-97	62	9	a	a	DET
hjic-97	62	10	computation	computation	NOUN
hjic-97	62	11	time	time	NOUN
hjic-97	62	12	of	of	ADP
hjic-97	62	13	0.22	0.22	NUM
hjic-97	62	14	s.	s.	NOUN
hjic-97	62	15	the	the	DET
hjic-97	62	16	convergence	convergence	NOUN
hjic-97	62	17	profile	profile	NOUN
hjic-97	62	18	given	give	VERB
hjic-97	62	19	in	in	ADP
hjic-97	62	20	fig.1	fig.1	PROPN
hjic-97	62	21	shows	show	NOUN
hjic-97	62	22	that	that	SCONJ
hjic-97	62	23	25	25	NUM
hjic-97	62	24	randomly	randomly	ADV
hjic-97	62	25	chosen	choose	VERB
hjic-97	62	26	test	test	NOUN
hjic-97	62	27	points	point	NOUN
hjic-97	62	28	per	per	ADP
hjic-97	62	29	iteration	iteration	NOUN
hjic-97	62	30	are	be	AUX
hjic-97	62	31	quite	quite	ADV
hjic-97	62	32	sufficient	sufficient	ADJ
hjic-97	62	33	to	to	PART
hjic-97	62	34	get	get	VERB
hjic-97	62	35	accurate	accurate	ADJ
hjic-97	62	36	values	value	NOUN
hjic-97	62	37	for	for	ADP
hjic-97	62	38	the	the	DET
hjic-97	62	39	parameters	parameter	NOUN
hjic-97	62	40	within	within	ADP
hjic-97	62	41	25	25	NUM
hjic-97	62	42	passes	pass	NOUN
hjic-97	62	43	.	.	PUNCT
hjic-97	63	1	however	however	ADV
hjic-97	63	2	,	,	PUNCT
hjic-97	63	3	when	when	SCONJ
hjic-97	63	4	100	100	NUM
hjic-97	63	5	points	point	NOUN
hjic-97	63	6	are	be	AUX
hjic-97	63	7	used	use	VERB
hjic-97	63	8	,	,	PUNCT
hjic-97	63	9	convergence	convergence	NOUN
hjic-97	63	10	to	to	ADP
hjic-97	63	11	12	12	NUM
hjic-97	63	12	figures	figure	NOUN
hjic-97	63	13	is	be	AUX
hjic-97	63	14	obtained	obtain	VERB
hjic-97	63	15	already	already	ADV
hjic-97	63	16	in	in	ADP
hjic-97	63	17	11	11	NUM
hjic-97	63	18	passes	pass	NOUN
hjic-97	63	19	.	.	PUNCT
hjic-97	64	1	maximization	maximization	NOUN
hjic-97	64	2	of	of	ADP
hjic-97	64	3	the	the	DET
hjic-97	64	4	likelihood	likelihood	NOUN
hjic-97	64	5	function	function	NOUN
hjic-97	64	6	given	give	VERB
hjic-97	64	7	in	in	ADP
hjic-97	64	8	eq.(8	eq.(8	ADV
hjic-97	64	9	)	)	PUNCT
hjic-97	64	10	yielded	yield	VERB
hjic-97	64	11	with	with	ADP
hjic-97	64	12	r	r	NOUN
hjic-97	64	13	=	=	SYM
hjic-97	64	14	100	100	NUM
hjic-97	64	15	in	in	ADP
hjic-97	64	16	a	a	DET
hjic-97	64	17	computation	computation	NOUN
hjic-97	64	18	time	time	NOUN
hjic-97	64	19	of	of	ADP
hjic-97	64	20	1.49	1.49	NUM
hjic-97	64	21	s	s	NOUN
hjic-97	64	22	the	the	DET
hjic-97	64	23	maximum	maximum	ADJ
hjic-97	64	24	value	value	NOUN
hjic-97	64	25	l	l	NOUN
hjic-97	65	1	=	=	SYM
hjic-97	66	1	1.0285396	1.0285396	NUM
hjic-97	66	2	×	×	NOUN
hjic-97	66	3	10	10	NUM
hjic-97	66	4	-	-	SYM
hjic-97	66	5	139	139	NUM
hjic-97	66	6	with	with	ADP
hjic-97	66	7	parameter	parameter	NOUN
hjic-97	66	8	values	value	NOUN
hjic-97	66	9	which	which	PRON
hjic-97	66	10	are	be	AUX
hjic-97	66	11	very	very	ADV
hjic-97	66	12	close	close	ADJ
hjic-97	66	13	to	to	ADP
hjic-97	66	14	those	those	PRON
hjic-97	66	15	obtained	obtain	VERB
hjic-97	66	16	by	by	ADP
hjic-97	66	17	eiv	eiv	PROPN
hjic-97	66	18	,	,	PUNCT
hjic-97	66	19	as	as	SCONJ
hjic-97	66	20	is	be	AUX
hjic-97	66	21	shown	show	VERB
hjic-97	66	22	in	in	ADP
hjic-97	66	23	table	table	NOUN
hjic-97	66	24	1	1	NUM
hjic-97	66	25	.	.	PUNCT
hjic-97	66	26	to	to	PART
hjic-97	66	27	calculate	calculate	VERB
hjic-97	66	28	such	such	DET
hjic-97	66	29	a	a	DET
hjic-97	66	30	small	small	ADJ
hjic-97	66	31	number	number	NOUN
hjic-97	66	32	,	,	PUNCT
hjic-97	66	33	each	each	DET
hjic-97	66	34	probability	probability	NOUN
hjic-97	66	35	density	density	NOUN
hjic-97	66	36	function	function	NOUN
hjic-97	66	37	was	be	AUX
hjic-97	66	38	multiplied	multiply	VERB
hjic-97	66	39	by	by	ADP
hjic-97	66	40	103	103	NUM
hjic-97	66	41	and	and	CCONJ
hjic-97	66	42	then	then	ADV
hjic-97	66	43	the	the	DET
hjic-97	66	44	resulting	result	VERB
hjic-97	66	45	likelihood	likelihood	NOUN
hjic-97	66	46	function	function	NOUN
hjic-97	66	47	at	at	ADP
hjic-97	66	48	the	the	DET
hjic-97	66	49	end	end	NOUN
hjic-97	66	50	was	be	AUX
hjic-97	66	51	multiplied	multiply	VERB
hjic-97	66	52	by	by	ADP
hjic-97	66	53	10	10	NUM
hjic-97	66	54	-	-	SYM
hjic-97	66	55	150	150	NUM
hjic-97	66	56	.	.	PUNCT
hjic-97	67	1	this	this	PRON
hjic-97	67	2	avoided	avoid	VERB
hjic-97	67	3	any	any	DET
hjic-97	67	4	possibility	possibility	NOUN
hjic-97	67	5	of	of	ADP
hjic-97	67	6	underflow	underflow	NOUN
hjic-97	67	7	problems	problem	NOUN
hjic-97	67	8	.	.	PUNCT
hjic-97	68	1	minimization	minimization	NOUN
hjic-97	68	2	of	of	ADP
hjic-97	68	3	the	the	DET
hjic-97	68	4	sum	sum	NOUN
hjic-97	68	5	of	of	ADP
hjic-97	68	6	squares	square	NOUN
hjic-97	68	7	of	of	ADP
hjic-97	68	8	deviations	deviation	NOUN
hjic-97	68	9	given	give	VERB
hjic-97	68	10	in	in	ADP
hjic-97	68	11	eq.(9	eq.(9	PRON
hjic-97	68	12	)	)	PUNCT
hjic-97	68	13	yielded	yield	VERB
hjic-97	68	14	with	with	ADP
hjic-97	68	15	r	r	NOUN
hjic-97	68	16	=	=	SYM
hjic-97	68	17	100	100	NUM
hjic-97	68	18	in	in	ADP
hjic-97	68	19	a	a	DET
hjic-97	68	20	computation	computation	NOUN
hjic-97	68	21	time	time	NOUN
hjic-97	68	22	of	of	ADP
hjic-97	68	23	0.50	0.50	NUM
hjic-97	68	24	s	s	VERB
hjic-97	68	25	the	the	DET
hjic-97	68	26	minimum	minimum	NOUN
hjic-97	68	27	s	s	PART
hjic-97	68	28	=	=	SYM
hjic-97	68	29	5.6267167	5.6267167	NUM
hjic-97	68	30	×	×	NOUN
hjic-97	68	31	10	10	NUM
hjic-97	68	32	-	-	SYM
hjic-97	68	33	2	2	NUM
hjic-97	68	34	with	with	ADP
hjic-97	68	35	parameter	parameter	NOUN
hjic-97	68	36	values	value	NOUN
hjic-97	68	37	given	give	VERB
hjic-97	68	38	in	in	ADP
hjic-97	68	39	table	table	NOUN
hjic-97	68	40	1	1	NUM
hjic-97	68	41	.	.	PUNCT
hjic-97	69	1	these	these	DET
hjic-97	69	2	values	value	NOUN
hjic-97	69	3	are	be	AUX
hjic-97	69	4	quite	quite	ADV
hjic-97	69	5	71	71	NUM
hjic-97	69	6	different	different	ADJ
hjic-97	69	7	from	from	ADP
hjic-97	69	8	those	those	PRON
hjic-97	69	9	obtained	obtain	VERB
hjic-97	69	10	from	from	ADP
hjic-97	69	11	the	the	DET
hjic-97	69	12	other	other	ADJ
hjic-97	69	13	two	two	NUM
hjic-97	69	14	methods	method	NOUN
hjic-97	69	15	.	.	PUNCT
hjic-97	70	1	also	also	ADV
hjic-97	70	2	,	,	PUNCT
hjic-97	70	3	the	the	DET
hjic-97	70	4	deviations	deviation	NOUN
hjic-97	70	5	of	of	ADP
hjic-97	70	6	the	the	DET
hjic-97	70	7	estimated	estimate	VERB
hjic-97	70	8	times	time	NOUN
hjic-97	70	9	to	to	ADP
hjic-97	70	10	failure	failure	NOUN
hjic-97	70	11	and	and	CCONJ
hjic-97	70	12	the	the	DET
hjic-97	70	13	measured	measured	ADJ
hjic-97	70	14	times	time	NOUN
hjic-97	70	15	to	to	ADP
hjic-97	70	16	failure	failure	NOUN
hjic-97	70	17	are	be	AUX
hjic-97	70	18	substantially	substantially	ADV
hjic-97	70	19	higher	high	ADJ
hjic-97	70	20	,	,	PUNCT
hjic-97	70	21	as	as	SCONJ
hjic-97	70	22	is	be	AUX
hjic-97	70	23	shown	show	VERB
hjic-97	70	24	in	in	ADP
hjic-97	70	25	the	the	DET
hjic-97	70	26	last	last	ADJ
hjic-97	70	27	column	column	NOUN
hjic-97	70	28	of	of	ADP
hjic-97	70	29	table	table	NOUN
hjic-97	70	30	1	1	NUM
hjic-97	70	31	.	.	PUNCT
hjic-97	71	1	it	it	PRON
hjic-97	71	2	is	be	AUX
hjic-97	71	3	natural	natural	ADJ
hjic-97	71	4	for	for	SCONJ
hjic-97	71	5	eiv	eiv	PROPN
hjic-97	71	6	to	to	PART
hjic-97	71	7	outperform	outperform	VERB
hjic-97	71	8	the	the	DET
hjic-97	71	9	other	other	ADJ
hjic-97	71	10	two	two	NUM
hjic-97	71	11	methods	method	NOUN
hjic-97	71	12	if	if	SCONJ
hjic-97	71	13	the	the	DET
hjic-97	71	14	deviations	deviation	NOUN
hjic-97	71	15	of	of	ADP
hjic-97	71	16	the	the	DET
hjic-97	71	17	same	same	ADJ
hjic-97	71	18	data	data	NOUN
hjic-97	71	19	points	point	NOUN
hjic-97	71	20	are	be	AUX
hjic-97	71	21	used	use	VERB
hjic-97	71	22	for	for	ADP
hjic-97	71	23	estimating	estimate	VERB
hjic-97	71	24	the	the	DET
hjic-97	71	25	parameters	parameter	NOUN
hjic-97	71	26	and	and	CCONJ
hjic-97	71	27	then	then	ADV
hjic-97	71	28	used	use	VERB
hjic-97	71	29	for	for	ADP
hjic-97	71	30	the	the	DET
hjic-97	71	31	evaluation	evaluation	NOUN
hjic-97	71	32	,	,	PUNCT
hjic-97	71	33	since	since	SCONJ
hjic-97	71	34	in	in	ADP
hjic-97	71	35	eiv	eiv	PROPN
hjic-97	71	36	the	the	DET
hjic-97	71	37	evaluation	evaluation	NOUN
hjic-97	71	38	function	function	NOUN
hjic-97	71	39	is	be	AUX
hjic-97	71	40	used	use	VERB
hjic-97	71	41	for	for	ADP
hjic-97	71	42	estimating	estimate	VERB
hjic-97	71	43	the	the	DET
hjic-97	71	44	parameters	parameter	NOUN
hjic-97	71	45	.	.	PUNCT
hjic-97	72	1	we	we	PRON
hjic-97	72	2	therefore	therefore	ADV
hjic-97	72	3	used	use	VERB
hjic-97	72	4	only	only	ADV
hjic-97	72	5	half	half	NOUN
hjic-97	72	6	of	of	ADP
hjic-97	72	7	the	the	DET
hjic-97	72	8	data	datum	NOUN
hjic-97	72	9	to	to	PART
hjic-97	72	10	obtain	obtain	VERB
hjic-97	72	11	the	the	DET
hjic-97	72	12	parameters	parameter	NOUN
hjic-97	72	13	.	.	PUNCT
hjic-97	73	1	starting	start	VERB
hjic-97	73	2	with	with	ADP
hjic-97	73	3	the	the	DET
hjic-97	73	4	first	first	ADJ
hjic-97	73	5	data	data	NOUN
hjic-97	73	6	point	point	NOUN
hjic-97	73	7	,	,	PUNCT
hjic-97	73	8	every	every	DET
hjic-97	73	9	second	second	ADJ
hjic-97	73	10	data	data	NOUN
hjic-97	73	11	point	point	NOUN
hjic-97	73	12	was	be	AUX
hjic-97	73	13	used	use	VERB
hjic-97	73	14	,	,	PUNCT
hjic-97	73	15	plus	plus	CCONJ
hjic-97	73	16	the	the	DET
hjic-97	73	17	last	last	ADJ
hjic-97	73	18	data	data	NOUN
hjic-97	73	19	point	point	NOUN
hjic-97	73	20	,	,	PUNCT
hjic-97	73	21	giving	give	VERB
hjic-97	73	22	26	26	NUM
hjic-97	73	23	data	datum	NOUN
hjic-97	73	24	points	point	NOUN
hjic-97	73	25	.	.	PUNCT
hjic-97	74	1	fig.1	fig.1	ADJ
hjic-97	74	2	convergence	convergence	NOUN
hjic-97	74	3	profile	profile	NOUN
hjic-97	74	4	for	for	ADP
hjic-97	74	5	example	example	NOUN
hjic-97	74	6	1	1	NUM
hjic-97	74	7	,	,	PUNCT
hjic-97	74	8	showing	show	VERB
hjic-97	74	9	the	the	DET
hjic-97	74	10	effect	effect	NOUN
hjic-97	74	11	of	of	ADP
hjic-97	74	12	the	the	DET
hjic-97	74	13	number	number	NOUN
hjic-97	74	14	of	of	ADP
hjic-97	74	15	random	random	ADJ
hjic-97	74	16	points	point	NOUN
hjic-97	74	17	used	use	VERB
hjic-97	74	18	per	per	ADP
hjic-97	74	19	iteration	iteration	NOUN
hjic-97	74	20	for	for	ADP
hjic-97	74	21	evaluation	evaluation	NOUN
hjic-97	74	22	of	of	ADP
hjic-97	74	23	the	the	DET
hjic-97	74	24	results	result	NOUN
hjic-97	74	25	,	,	PUNCT
hjic-97	74	26	the	the	DET
hjic-97	74	27	entire	entire	ADJ
hjic-97	74	28	data	datum	NOUN
hjic-97	74	29	length	length	NOUN
hjic-97	74	30	was	be	AUX
hjic-97	74	31	used	use	VERB
hjic-97	74	32	.	.	PUNCT
hjic-97	75	1	as	as	SCONJ
hjic-97	75	2	is	be	AUX
hjic-97	75	3	shown	show	VERB
hjic-97	75	4	in	in	ADP
hjic-97	75	5	table	table	NOUN
hjic-97	75	6	2	2	NUM
hjic-97	75	7	,	,	PUNCT
hjic-97	75	8	the	the	DET
hjic-97	75	9	maximum	maximum	ADJ
hjic-97	75	10	likelihood	likelihood	NOUN
hjic-97	75	11	method	method	NOUN
hjic-97	75	12	yielded	yield	VERB
hjic-97	75	13	the	the	DET
hjic-97	75	14	best	good	ADJ
hjic-97	75	15	results	result	NOUN
hjic-97	75	16	.	.	PUNCT
hjic-97	76	1	such	such	ADJ
hjic-97	76	2	evaluation	evaluation	NOUN
hjic-97	76	3	was	be	AUX
hjic-97	76	4	carried	carry	VERB
hjic-97	76	5	out	out	ADP
hjic-97	76	6	with	with	ADP
hjic-97	76	7	several	several	ADJ
hjic-97	76	8	additional	additional	ADJ
hjic-97	76	9	data	datum	NOUN
hjic-97	76	10	sets	set	NOUN
hjic-97	76	11	available	available	ADJ
hjic-97	76	12	in	in	ADP
hjic-97	76	13	the	the	DET
hjic-97	76	14	literature	literature	NOUN
hjic-97	76	15	.	.	PUNCT
hjic-97	77	1	example	example	NOUN
hjic-97	78	1	2	2	NUM
hjic-97	78	2	:	:	PUNCT
hjic-97	78	3	lifetime	lifetime	NOUN
hjic-97	78	4	of	of	ADP
hjic-97	78	5	batteries	battery	NOUN
hjic-97	78	6	we	we	PRON
hjic-97	78	7	now	now	ADV
hjic-97	78	8	consider	consider	VERB
hjic-97	78	9	the	the	DET
hjic-97	78	10	lives	life	NOUN
hjic-97	78	11	of	of	ADP
hjic-97	78	12	40	40	NUM
hjic-97	78	13	similar	similar	ADJ
hjic-97	78	14	batteries	battery	NOUN
hjic-97	78	15	recorded	record	VERB
hjic-97	78	16	to	to	ADP
hjic-97	78	17	the	the	DET
hjic-97	78	18	nearest	near	ADJ
hjic-97	78	19	tenth	tenth	NOUN
hjic-97	78	20	of	of	ADP
hjic-97	78	21	a	a	DET
hjic-97	78	22	year	year	NOUN
hjic-97	78	23	,	,	PUNCT
hjic-97	78	24	as	as	SCONJ
hjic-97	78	25	reported	report	VERB
hjic-97	78	26	by	by	ADP
hjic-97	78	27	walpole	walpole	PROPN
hjic-97	78	28	and	and	CCONJ
hjic-97	78	29	myers	myer	NOUN
hjic-97	79	1	[	[	X
hjic-97	79	2	9	9	NUM
hjic-97	79	3	]	]	PUNCT
hjic-97	79	4	.	.	PUNCT
hjic-97	80	1	convergence	convergence	NOUN
hjic-97	80	2	was	be	AUX
hjic-97	80	3	easily	easily	ADV
hjic-97	80	4	obtained	obtain	VERB
hjic-97	80	5	,	,	PUNCT
hjic-97	80	6	yielding	yield	VERB
hjic-97	80	7	i	i	PRON
hjic-97	80	8	=	=	SYM
hjic-97	80	9	0.36569261	0.36569261	NUM
hjic-97	80	10	,	,	PUNCT
hjic-97	80	11	l	l	NOUN
hjic-97	81	1	=	=	SYM
hjic-97	82	1	7.5001463	7.5001463	NUM
hjic-97	82	2	×	×	NOUN
hjic-97	82	3	10	10	NUM
hjic-97	82	4	-	-	SYM
hjic-97	82	5	19	19	NUM
hjic-97	82	6	,	,	PUNCT
hjic-97	82	7	and	and	CCONJ
hjic-97	82	8	s	s	X
hjic-97	82	9	=	=	SYM
hjic-97	82	10	3.724944	3.724944	NUM
hjic-97	82	11	×	×	NOUN
hjic-97	82	12	10	10	NUM
hjic-97	82	13	-	-	SYM
hjic-97	82	14	2	2	NUM
hjic-97	82	15	with	with	ADP
hjic-97	82	16	the	the	DET
hjic-97	82	17	parameter	parameter	NOUN
hjic-97	82	18	values	value	NOUN
hjic-97	82	19	given	give	VERB
hjic-97	82	20	in	in	ADP
hjic-97	82	21	table	table	NOUN
hjic-97	82	22	3	3	NUM
hjic-97	82	23	for	for	ADP
hjic-97	82	24	all	all	DET
hjic-97	82	25	the	the	DET
hjic-97	82	26	data	datum	NOUN
hjic-97	82	27	.	.	PUNCT
hjic-97	83	1	table	table	NOUN
hjic-97	83	2	1	1	NUM
hjic-97	83	3	parameters	parameter	NOUN
hjic-97	83	4	obtained	obtain	VERB
hjic-97	83	5	for	for	ADP
hjic-97	83	6	example	example	NOUN
hjic-97	83	7	1	1	NUM
hjic-97	83	8	with	with	ADP
hjic-97	83	9	the	the	DET
hjic-97	83	10	use	use	NOUN
hjic-97	83	11	of	of	ADP
hjic-97	83	12	50	50	NUM
hjic-97	83	13	time	time	NOUN
hjic-97	83	14	-	-	PUNCT
hjic-97	83	15	to	to	ADP
hjic-97	83	16	-	-	PUNCT
hjic-97	83	17	failure	failure	NOUN
hjic-97	83	18	data	datum	NOUN
hjic-97	83	19	points	point	NOUN
hjic-97	83	20	:	:	PUNCT
hjic-97	83	21	702	702	NUM
hjic-97	83	22	,	,	PUNCT
hjic-97	83	23	765	765	NUM
hjic-97	83	24	,	,	PUNCT
hjic-97	83	25	785	785	NUM
hjic-97	83	26	,	,	PUNCT
hjic-97	83	27	811	811	NUM
hjic-97	83	28	,	,	PUNCT
hjic-97	83	29	832	832	NUM
hjic-97	83	30	,	,	PUNCT
hjic-97	83	31	855	855	NUM
hjic-97	83	32	,	,	PUNCT
hjic-97	83	33	896	896	NUM
hjic-97	83	34	,	,	PUNCT
hjic-97	83	35	902	902	NUM
hjic-97	83	36	,	,	PUNCT
hjic-97	83	37	905	905	NUM
hjic-97	83	38	,	,	PUNCT
hjic-97	83	39	918	918	NUM
hjic-97	83	40	,	,	PUNCT
hjic-97	83	41	919	919	NUM
hjic-97	83	42	,	,	PUNCT
hjic-97	83	43	920	920	NUM
hjic-97	83	44	,	,	PUNCT
hjic-97	83	45	923	923	NUM
hjic-97	83	46	,	,	PUNCT
hjic-97	83	47	929	929	NUM
hjic-97	83	48	,	,	PUNCT
hjic-97	83	49	936	936	NUM
hjic-97	83	50	,	,	PUNCT
hjic-97	83	51	938	938	NUM
hjic-97	83	52	,	,	PUNCT
hjic-97	83	53	948	948	NUM
hjic-97	83	54	,	,	PUNCT
hjic-97	83	55	950	950	NUM
hjic-97	83	56	,	,	PUNCT
hjic-97	83	57	956	956	NUM
hjic-97	83	58	,	,	PUNCT
hjic-97	83	59	958	958	NUM
hjic-97	83	60	,	,	PUNCT
hjic-97	83	61	958	958	NUM
hjic-97	83	62	,	,	PUNCT
hjic-97	83	63	970	970	NUM
hjic-97	83	64	,	,	PUNCT
hjic-97	83	65	972	972	NUM
hjic-97	83	66	,	,	PUNCT
hjic-97	83	67	978	978	NUM
hjic-97	83	68	,	,	PUNCT
hjic-97	83	69	1009	1009	NUM
hjic-97	83	70	,	,	PUNCT
hjic-97	83	71	1009	1009	NUM
hjic-97	83	72	,	,	PUNCT
hjic-97	83	73	1022	1022	NUM
hjic-97	83	74	,	,	PUNCT
hjic-97	83	75	1035	1035	NUM
hjic-97	83	76	,	,	PUNCT
hjic-97	83	77	1037	1037	NUM
hjic-97	83	78	,	,	PUNCT
hjic-97	83	79	1045	1045	NUM
hjic-97	83	80	,	,	PUNCT
hjic-97	83	81	1067	1067	NUM
hjic-97	83	82	,	,	PUNCT
hjic-97	83	83	1085	1085	NUM
hjic-97	83	84	,	,	PUNCT
hjic-97	83	85	1092	1092	NUM
hjic-97	83	86	,	,	PUNCT
hjic-97	83	87	1102	1102	NUM
hjic-97	83	88	,	,	PUNCT
hjic-97	83	89	1122	1122	NUM
hjic-97	83	90	,	,	PUNCT
hjic-97	83	91	1126	1126	NUM
hjic-97	83	92	,	,	PUNCT
hjic-97	83	93	1151	1151	NUM
hjic-97	83	94	,	,	PUNCT
hjic-97	83	95	1156	1156	NUM
hjic-97	83	96	,	,	PUNCT
hjic-97	83	97	1157	1157	NUM
hjic-97	83	98	,	,	PUNCT
hjic-97	83	99	1157	1157	NUM
hjic-97	83	100	,	,	PUNCT
hjic-97	83	101	1162	1162	NUM
hjic-97	83	102	,	,	PUNCT
hjic-97	83	103	1170	1170	NUM
hjic-97	83	104	,	,	PUNCT
hjic-97	83	105	1195	1195	NUM
hjic-97	83	106	,	,	PUNCT
hjic-97	83	107	1195	1195	NUM
hjic-97	83	108	,	,	PUNCT
hjic-97	83	109	1196	1196	NUM
hjic-97	83	110	,	,	PUNCT
hjic-97	83	111	1217	1217	NUM
hjic-97	83	112	,	,	PUNCT
hjic-97	83	113	1237	1237	NUM
hjic-97	83	114	,	,	PUNCT
hjic-97	83	115	1311	1311	NUM
hjic-97	83	116	,	,	PUNCT
hjic-97	83	117	1333	1333	NUM
hjic-97	83	118	,	,	PUNCT
hjic-97	83	119	1340	1340	NUM
hjic-97	83	120	µ	µ	X
hjic-97	83	121	α	α	X
hjic-97	83	122	β	β	NOUN
hjic-97	83	123	∑	∑	PUNCT
hjic-97	83	124	=	=	SYM
hjic-97	83	125	−	−	PROPN
hjic-97	83	126	50	50	NUM
hjic-97	83	127	1	1	NUM
hjic-97	83	128	2	2	NUM
hjic-97	83	129	)	)	PUNCT
hjic-97	84	1	(	(	PUNCT
hjic-97	84	2	i	i	PROPN
hjic-97	84	3	sii	sii	INTJ
hjic-97	84	4	tt	tt	PROPN
hjic-97	84	5	eiv	eiv	PROPN
hjic-97	84	6	ml	ml	PROPN
hjic-97	84	7	ls	ls	PROPN
hjic-97	84	8	626.155	626.155	NUM
hjic-97	84	9	623.527	623.527	NUM
hjic-97	84	10	702.000	702.000	NUM
hjic-97	84	11	450.129	450.129	NUM
hjic-97	84	12	452.020	452.020	NUM
hjic-97	84	13	371.347	371.347	NUM
hjic-97	84	14	2.90623	2.90623	NUM
hjic-97	84	15	3.00294	3.00294	NUM
hjic-97	84	16	2.25438	2.25438	NUM
hjic-97	84	17	1.7543×104	1.7543×104	NUM
hjic-97	84	18	1.8188×104	1.8188×104	NUM
hjic-97	84	19	2.3295×104	2.3295×104	NOUN
hjic-97	84	20	table	table	NOUN
hjic-97	84	21	2	2	NUM
hjic-97	84	22	parameters	parameter	NOUN
hjic-97	84	23	obtained	obtain	VERB
hjic-97	84	24	for	for	ADP
hjic-97	84	25	example	example	NOUN
hjic-97	84	26	1	1	NUM
hjic-97	84	27	with	with	ADP
hjic-97	84	28	the	the	DET
hjic-97	84	29	use	use	NOUN
hjic-97	84	30	of	of	ADP
hjic-97	84	31	every	every	DET
hjic-97	84	32	second	second	ADJ
hjic-97	84	33	data	data	NOUN
hjic-97	84	34	point	point	NOUN
hjic-97	84	35	and	and	CCONJ
hjic-97	84	36	the	the	DET
hjic-97	84	37	last	last	ADJ
hjic-97	84	38	one	one	NUM
hjic-97	84	39	(	(	PUNCT
hjic-97	84	40	26	26	NUM
hjic-97	84	41	data	datum	NOUN
hjic-97	84	42	points	point	NOUN
hjic-97	84	43	)	)	PUNCT
hjic-97	84	44	but	but	CCONJ
hjic-97	84	45	evaluated	evaluate	VERB
hjic-97	84	46	with	with	ADP
hjic-97	84	47	all	all	DET
hjic-97	84	48	data	datum	NOUN
hjic-97	84	49	points	point	NOUN
hjic-97	84	50	µ	µ	PROPN
hjic-97	84	51	α	α	NOUN
hjic-97	84	52	β	β	NOUN
hjic-97	84	53	∑	∑	PUNCT
hjic-97	84	54	=	=	SYM
hjic-97	84	55	−	−	PROPN
hjic-97	84	56	50	50	NUM
hjic-97	84	57	1	1	NUM
hjic-97	84	58	2	2	NUM
hjic-97	84	59	)	)	PUNCT
hjic-97	84	60	(	(	PUNCT
hjic-97	84	61	i	i	PROPN
hjic-97	84	62	sii	sii	INTJ
hjic-97	84	63	tt	tt	PROPN
hjic-97	84	64	eiv	eiv	PROPN
hjic-97	84	65	ml	ml	PROPN
hjic-97	84	66	ls	ls	PROPN
hjic-97	84	67	577.18	577.18	NUM
hjic-97	84	68	590.06	590.06	NUM
hjic-97	84	69	702.00	702.00	NUM
hjic-97	84	70	510.72	510.72	NUM
hjic-97	84	71	495.22	495.22	NUM
hjic-97	84	72	380.64	380.64	NUM
hjic-97	84	73	3.0347	3.0347	NUM
hjic-97	84	74	3.0953	3.0953	NUM
hjic-97	84	75	2.1505	2.1505	NUM
hjic-97	84	76	2.8713×104	2.8713×104	NOUN
hjic-97	84	77	2.1177×104	2.1177×104	PROPN
hjic-97	84	78	4.0526×104	4.0526×104	PROPN
hjic-97	84	79	table	table	NOUN
hjic-97	84	80	3	3	NUM
hjic-97	84	81	parameters	parameter	NOUN
hjic-97	84	82	obtained	obtain	VERB
hjic-97	84	83	for	for	ADP
hjic-97	84	84	example	example	NOUN
hjic-97	84	85	2	2	NUM
hjic-97	84	86	,	,	PUNCT
hjic-97	84	87	given	give	VERB
hjic-97	84	88	the	the	DET
hjic-97	84	89	time	time	NOUN
hjic-97	84	90	-	-	PUNCT
hjic-97	84	91	tofailure	tofailure	ADJ
hjic-97	84	92	data	datum	NOUN
hjic-97	84	93	:	:	PUNCT
hjic-97	84	94	1.6	1.6	NUM
hjic-97	84	95	,	,	PUNCT
hjic-97	84	96	1.9	1.9	NUM
hjic-97	84	97	,	,	PUNCT
hjic-97	84	98	2.2	2.2	NUM
hjic-97	84	99	,	,	PUNCT
hjic-97	84	100	2.5	2.5	NUM
hjic-97	84	101	,	,	PUNCT
hjic-97	84	102	2.6	2.6	NUM
hjic-97	84	103	,	,	PUNCT
hjic-97	84	104	2.6	2.6	NUM
hjic-97	84	105	,	,	PUNCT
hjic-97	84	106	2.9	2.9	NUM
hjic-97	84	107	,	,	PUNCT
hjic-97	84	108	3.0	3.0	NUM
hjic-97	84	109	,	,	PUNCT
hjic-97	84	110	3.0	3.0	NUM
hjic-97	84	111	,	,	PUNCT
hjic-97	84	112	3.1	3.1	NUM
hjic-97	84	113	,	,	PUNCT
hjic-97	84	114	3.1	3.1	NUM
hjic-97	84	115	,	,	PUNCT
hjic-97	84	116	3.1	3.1	NUM
hjic-97	84	117	,	,	PUNCT
hjic-97	84	118	3.1	3.1	NUM
hjic-97	84	119	,	,	PUNCT
hjic-97	84	120	3.2	3.2	NUM
hjic-97	84	121	,	,	PUNCT
hjic-97	84	122	3.2	3.2	NUM
hjic-97	84	123	,	,	PUNCT
hjic-97	84	124	3.2	3.2	NUM
hjic-97	84	125	,	,	PUNCT
hjic-97	84	126	3.3	3.3	NUM
hjic-97	84	127	,	,	PUNCT
hjic-97	84	128	3.3	3.3	NUM
hjic-97	84	129	,	,	PUNCT
hjic-97	84	130	3.3	3.3	NUM
hjic-97	84	131	,	,	PUNCT
hjic-97	84	132	3.4	3.4	NUM
hjic-97	84	133	,	,	PUNCT
hjic-97	84	134	3.4	3.4	NUM
hjic-97	84	135	,	,	PUNCT
hjic-97	84	136	3.4	3.4	NUM
hjic-97	84	137	,	,	PUNCT
hjic-97	84	138	3.5	3.5	NUM
hjic-97	84	139	,	,	PUNCT
hjic-97	84	140	3.5	3.5	NUM
hjic-97	84	141	,	,	PUNCT
hjic-97	84	142	3.6	3.6	NUM
hjic-97	84	143	,	,	PUNCT
hjic-97	84	144	3.7	3.7	NUM
hjic-97	84	145	,	,	PUNCT
hjic-97	84	146	3.7	3.7	NUM
hjic-97	84	147	,	,	PUNCT
hjic-97	84	148	3.7	3.7	NUM
hjic-97	84	149	,	,	PUNCT
hjic-97	84	150	3.8	3.8	NUM
hjic-97	84	151	,	,	PUNCT
hjic-97	84	152	3.8	3.8	NUM
hjic-97	84	153	,	,	PUNCT
hjic-97	84	154	3.9	3.9	NUM
hjic-97	84	155	,	,	PUNCT
hjic-97	84	156	3.9	3.9	NUM
hjic-97	84	157	,	,	PUNCT
hjic-97	84	158	4.1	4.1	NUM
hjic-97	84	159	,	,	PUNCT
hjic-97	84	160	4.1	4.1	NUM
hjic-97	84	161	,	,	PUNCT
hjic-97	84	162	4.2	4.2	NUM
hjic-97	84	163	,	,	PUNCT
hjic-97	84	164	4.3	4.3	NUM
hjic-97	84	165	,	,	PUNCT
hjic-97	84	166	4.4	4.4	NUM
hjic-97	84	167	,	,	PUNCT
hjic-97	84	168	4.5	4.5	NUM
hjic-97	84	169	,	,	PUNCT
hjic-97	84	170	4.7	4.7	NUM
hjic-97	84	171	,	,	PUNCT
hjic-97	84	172	4.7	4.7	NUM
hjic-97	84	173	µ	µ	NOUN
hjic-97	84	174	α	α	DET
hjic-97	84	175	β	β	X
hjic-97	84	176	∑	∑	PUNCT
hjic-97	84	177	=	=	SYM
hjic-97	84	178	−	−	PROPN
hjic-97	85	1	40	40	NUM
hjic-97	85	2	1	1	NUM
hjic-97	85	3	2	2	NUM
hjic-97	85	4	)	)	PUNCT
hjic-97	85	5	(	(	PUNCT
hjic-97	86	1	i	i	PROPN
hjic-97	86	2	sii	sii	INTJ
hjic-97	86	3	tt	tt	PROPN
hjic-97	86	4	eiv	eiv	PROPN
hjic-97	86	5	ml	ml	PROPN
hjic-97	86	6	ls	ls	PROPN
hjic-97	86	7	0.00000	0.00000	NUM
hjic-97	86	8	0.10346	0.10346	NUM
hjic-97	86	9	1.60000	1.60000	NUM
hjic-97	86	10	3.69330	3.69330	NUM
hjic-97	86	11	3.58331	3.58331	NUM
hjic-97	86	12	2.05230	2.05230	NUM
hjic-97	86	13	5.51662	5.51662	NUM
hjic-97	86	14	5.49813	5.49813	NUM
hjic-97	86	15	3.18526	3.18526	NUM
hjic-97	86	16	0.36569	0.36569	NUM
hjic-97	86	17	0.38317	0.38317	NUM
hjic-97	86	18	0.82921	0.82921	NUM
hjic-97	86	19	in	in	ADP
hjic-97	86	20	table	table	NOUN
hjic-97	86	21	4	4	NUM
hjic-97	86	22	are	be	AUX
hjic-97	86	23	the	the	DET
hjic-97	86	24	parameter	parameter	NOUN
hjic-97	86	25	values	value	NOUN
hjic-97	86	26	for	for	ADP
hjic-97	86	27	half	half	NOUN
hjic-97	86	28	of	of	ADP
hjic-97	86	29	the	the	DET
hjic-97	86	30	data	datum	NOUN
hjic-97	86	31	.	.	PUNCT
hjic-97	87	1	by	by	ADP
hjic-97	87	2	comparing	compare	VERB
hjic-97	87	3	the	the	DET
hjic-97	87	4	estimates	estimate	NOUN
hjic-97	87	5	in	in	ADP
hjic-97	87	6	these	these	DET
hjic-97	87	7	two	two	NUM
hjic-97	87	8	tables	table	NOUN
hjic-97	87	9	,	,	PUNCT
hjic-97	87	10	again	again	ADV
hjic-97	87	11	the	the	DET
hjic-97	87	12	maximum	maximum	ADJ
hjic-97	87	13	likelihood	likelihood	NOUN
hjic-97	87	14	method	method	NOUN
hjic-97	87	15	is	be	AUX
hjic-97	87	16	seen	see	VERB
hjic-97	87	17	to	to	PART
hjic-97	87	18	give	give	VERB
hjic-97	87	19	the	the	DET
hjic-97	87	20	best	good	ADJ
hjic-97	87	21	results	result	NOUN
hjic-97	87	22	if	if	SCONJ
hjic-97	87	23	half	half	NOUN
hjic-97	87	24	of	of	ADP
hjic-97	87	25	the	the	DET
hjic-97	87	26	data	datum	NOUN
hjic-97	87	27	are	be	AUX
hjic-97	87	28	used	use	VERB
hjic-97	87	29	to	to	PART
hjic-97	87	30	obtain	obtain	VERB
hjic-97	87	31	the	the	DET
hjic-97	87	32	parameters	parameter	NOUN
hjic-97	87	33	,	,	PUNCT
hjic-97	87	34	and	and	CCONJ
hjic-97	87	35	the	the	DET
hjic-97	87	36	parameter	parameter	NOUN
hjic-97	87	37	values	value	NOUN
hjic-97	87	38	are	be	AUX
hjic-97	87	39	evaluated	evaluate	VERB
hjic-97	87	40	with	with	ADP
hjic-97	87	41	the	the	DET
hjic-97	87	42	entire	entire	ADJ
hjic-97	87	43	data	datum	NOUN
hjic-97	87	44	length	length	NOUN
hjic-97	87	45	.	.	PUNCT
hjic-97	88	1	again	again	ADV
hjic-97	88	2	,	,	PUNCT
hjic-97	88	3	the	the	DET
hjic-97	88	4	least	least	ADJ
hjic-97	88	5	squares	square	NOUN
hjic-97	88	6	method	method	NOUN
hjic-97	88	7	yielded	yield	VERB
hjic-97	88	8	the	the	DET
hjic-97	88	9	worst	bad	ADJ
hjic-97	88	10	results	result	NOUN
hjic-97	88	11	.	.	PUNCT
hjic-97	89	1	table	table	NOUN
hjic-97	89	2	4	4	NUM
hjic-97	89	3	parameters	parameter	NOUN
hjic-97	89	4	obtained	obtain	VERB
hjic-97	89	5	for	for	ADP
hjic-97	89	6	example	example	NOUN
hjic-97	89	7	2	2	NUM
hjic-97	89	8	with	with	ADP
hjic-97	89	9	the	the	DET
hjic-97	89	10	use	use	NOUN
hjic-97	89	11	of	of	ADP
hjic-97	89	12	every	every	DET
hjic-97	89	13	second	second	ADJ
hjic-97	89	14	data	data	NOUN
hjic-97	89	15	point	point	NOUN
hjic-97	89	16	and	and	CCONJ
hjic-97	89	17	the	the	DET
hjic-97	89	18	last	last	ADJ
hjic-97	89	19	one	one	NUM
hjic-97	89	20	(	(	PUNCT
hjic-97	89	21	21	21	NUM
hjic-97	89	22	data	datum	NOUN
hjic-97	89	23	points	point	NOUN
hjic-97	89	24	)	)	PUNCT
hjic-97	89	25	but	but	CCONJ
hjic-97	89	26	evaluated	evaluate	VERB
hjic-97	89	27	with	with	ADP
hjic-97	89	28	all	all	DET
hjic-97	89	29	data	datum	NOUN
hjic-97	89	30	µ	µ	PROPN
hjic-97	89	31	α	α	NOUN
hjic-97	89	32	β	β	NOUN
hjic-97	89	33	∑	∑	PUNCT
hjic-97	89	34	=	=	SYM
hjic-97	89	35	−	−	PROPN
hjic-97	90	1	40	40	NUM
hjic-97	90	2	1	1	NUM
hjic-97	90	3	2	2	NUM
hjic-97	90	4	)	)	PUNCT
hjic-97	90	5	(	(	PUNCT
hjic-97	91	1	i	i	PROPN
hjic-97	91	2	sii	sii	INTJ
hjic-97	91	3	tt	tt	PROPN
hjic-97	91	4	eiv	eiv	PROPN
hjic-97	91	5	ml	ml	PROPN
hjic-97	91	6	ls	ls	PROPN
hjic-97	91	7	0.00000	0.00000	NUM
hjic-97	91	8	0.00000	0.00000	NUM
hjic-97	91	9	1.60000	1.60000	NUM
hjic-97	91	10	3.7487	3.7487	NUM
hjic-97	91	11	3.7382	3.7382	NUM
hjic-97	91	12	2.1089	2.1089	NUM
hjic-97	91	13	4.9521	4.9521	NUM
hjic-97	91	14	5.2934	5.2934	NUM
hjic-97	91	15	2.8953	2.8953	NUM
hjic-97	91	16	0.65398	0.65398	NUM
hjic-97	91	17	0.45611	0.45611	NUM
hjic-97	91	18	0.85610	0.85610	NUM
hjic-97	91	19	72	72	NUM
hjic-97	91	20	example	example	NOUN
hjic-97	91	21	3	3	NUM
hjic-97	91	22	:	:	PUNCT
hjic-97	91	23	data	datum	NOUN
hjic-97	91	24	used	use	VERB
hjic-97	91	25	by	by	ADP
hjic-97	91	26	lockhart	lockhart	PROPN
hjic-97	91	27	and	and	CCONJ
hjic-97	91	28	stephens	stephen	VERB
hjic-97	91	29	the	the	DET
hjic-97	91	30	data	datum	NOUN
hjic-97	91	31	given	give	VERB
hjic-97	91	32	by	by	ADP
hjic-97	91	33	cox	cox	PROPN
hjic-97	91	34	and	and	CCONJ
hjic-97	91	35	oakes	oakes	PROPN
hjic-97	91	36	[	[	X
hjic-97	91	37	11	11	NUM
hjic-97	91	38	]	]	PUNCT
hjic-97	91	39	,	,	PUNCT
hjic-97	91	40	and	and	CCONJ
hjic-97	91	41	used	use	VERB
hjic-97	91	42	by	by	ADP
hjic-97	91	43	lockhart	lockhart	PROPN
hjic-97	91	44	and	and	CCONJ
hjic-97	91	45	stephens	stephen	NOUN
hjic-97	91	46	[	[	X
hjic-97	91	47	12	12	NUM
hjic-97	91	48	]	]	PUNCT
hjic-97	91	49	gave	give	VERB
hjic-97	91	50	i	i	PRON
hjic-97	91	51	=	=	NOUN
hjic-97	91	52	261.79902	261.79902	NUM
hjic-97	91	53	,	,	PUNCT
hjic-97	91	54	l	l	NOUN
hjic-97	91	55	=	=	PUNCT
hjic-97	92	1	9.0746400	9.0746400	NUM
hjic-97	92	2	×	×	NOUN
hjic-97	92	3	10	10	NUM
hjic-97	92	4	-	-	SYM
hjic-97	92	5	22	22	NUM
hjic-97	92	6	,	,	PUNCT
hjic-97	92	7	and	and	CCONJ
hjic-97	92	8	s	s	VERB
hjic-97	92	9	=	=	SYM
hjic-97	92	10	2.0017367	2.0017367	NUM
hjic-97	92	11	×	×	NOUN
hjic-97	92	12	10	10	NUM
hjic-97	92	13	-	-	SYM
hjic-97	92	14	2	2	NUM
hjic-97	92	15	with	with	ADP
hjic-97	92	16	a	a	DET
hjic-97	92	17	wide	wide	ADJ
hjic-97	92	18	range	range	NOUN
hjic-97	92	19	of	of	ADP
hjic-97	92	20	values	value	NOUN
hjic-97	92	21	for	for	ADP
hjic-97	92	22	the	the	DET
hjic-97	92	23	parameters	parameter	NOUN
hjic-97	92	24	,	,	PUNCT
hjic-97	92	25	as	as	SCONJ
hjic-97	92	26	is	be	AUX
hjic-97	92	27	seen	see	VERB
hjic-97	92	28	in	in	ADP
hjic-97	92	29	table	table	NOUN
hjic-97	92	30	5	5	NUM
hjic-97	92	31	.	.	PUNCT
hjic-97	93	1	the	the	DET
hjic-97	93	2	ml	ml	PROPN
hjic-97	93	3	values	value	NOUN
hjic-97	93	4	obtained	obtain	VERB
hjic-97	93	5	here	here	ADV
hjic-97	93	6	correspond	correspond	VERB
hjic-97	93	7	very	very	ADV
hjic-97	93	8	closely	closely	ADV
hjic-97	93	9	to	to	ADP
hjic-97	93	10	the	the	DET
hjic-97	93	11	ml	ml	PROPN
hjic-97	93	12	values	value	NOUN
hjic-97	93	13	obtained	obtain	VERB
hjic-97	93	14	by	by	ADP
hjic-97	93	15	lockhart	lockhart	PROPN
hjic-97	93	16	and	and	CCONJ
hjic-97	93	17	stephens	stephen	NOUN
hjic-97	93	18	,	,	PUNCT
hjic-97	93	19	namely	namely	ADV
hjic-97	93	20	,	,	PUNCT
hjic-97	93	21	99.02	99.02	NUM
hjic-97	93	22	,	,	PUNCT
hjic-97	93	23	78.23	78.23	NUM
hjic-97	93	24	and	and	CCONJ
hjic-97	93	25	2.38	2.38	NUM
hjic-97	93	26	.	.	PUNCT
hjic-97	94	1	table	table	NOUN
hjic-97	94	2	5	5	NUM
hjic-97	94	3	parameters	parameter	NOUN
hjic-97	94	4	obtained	obtain	VERB
hjic-97	94	5	for	for	ADP
hjic-97	94	6	example	example	NOUN
hjic-97	94	7	3	3	NUM
hjic-97	94	8	,	,	PUNCT
hjic-97	94	9	given	give	VERB
hjic-97	94	10	the	the	DET
hjic-97	94	11	time	time	NOUN
hjic-97	94	12	-	-	PUNCT
hjic-97	94	13	tofailure	tofailure	ADJ
hjic-97	94	14	data	datum	NOUN
hjic-97	94	15	:	:	PUNCT
hjic-97	94	16	117	117	NUM
hjic-97	94	17	,	,	PUNCT
hjic-97	94	18	135	135	NUM
hjic-97	94	19	,	,	PUNCT
hjic-97	94	20	135	135	NUM
hjic-97	94	21	,	,	PUNCT
hjic-97	94	22	162	162	NUM
hjic-97	94	23	,	,	PUNCT
hjic-97	94	24	162	162	NUM
hjic-97	94	25	,	,	PUNCT
hjic-97	94	26	171	171	NUM
hjic-97	94	27	,	,	PUNCT
hjic-97	94	28	189	189	NUM
hjic-97	94	29	,	,	PUNCT
hjic-97	94	30	189	189	NUM
hjic-97	94	31	,	,	PUNCT
hjic-97	94	32	198	198	NUM
hjic-97	94	33	,	,	PUNCT
hjic-97	94	34	225	225	NUM
hjic-97	94	35	µ	µ	NOUN
hjic-97	94	36	α	α	DET
hjic-97	94	37	β	β	NOUN
hjic-97	94	38	∑	∑	PUNCT
hjic-97	94	39	=	=	SYM
hjic-97	94	40	−	−	PROPN
hjic-97	94	41	10	10	NUM
hjic-97	94	42	1	1	NUM
hjic-97	94	43	2	2	NUM
hjic-97	94	44	)	)	PUNCT
hjic-97	94	45	(	(	PUNCT
hjic-97	95	1	i	i	PROPN
hjic-97	95	2	sii	sii	INTJ
hjic-97	95	3	tt	tt	PROPN
hjic-97	95	4	eiv	eiv	PROPN
hjic-97	95	5	ml	ml	PROPN
hjic-97	95	6	ls	ls	PROPN
hjic-97	95	7	71.5445	71.5445	NUM
hjic-97	95	8	99.0109	99.0109	NUM
hjic-97	95	9	13.9179	13.9179	NUM
hjic-97	95	10	108.641	108.641	NUM
hjic-97	95	11	78.240	78.240	NUM
hjic-97	95	12	167.491	167.491	NUM
hjic-97	95	13	3.0214	3.0214	NUM
hjic-97	95	14	2.3755	2.3755	NUM
hjic-97	95	15	4.7922	4.7922	NUM
hjic-97	95	16	261.799	261.799	NUM
hjic-97	95	17	412.692	412.692	NUM
hjic-97	95	18	321.376	321.376	NUM
hjic-97	95	19	when	when	SCONJ
hjic-97	95	20	only	only	ADV
hjic-97	95	21	half	half	NOUN
hjic-97	95	22	of	of	ADP
hjic-97	95	23	the	the	DET
hjic-97	95	24	data	datum	NOUN
hjic-97	95	25	were	be	AUX
hjic-97	95	26	used	use	VERB
hjic-97	95	27	,	,	PUNCT
hjic-97	95	28	we	we	PRON
hjic-97	95	29	see	see	VERB
hjic-97	95	30	in	in	ADP
hjic-97	95	31	table	table	NOUN
hjic-97	95	32	6	6	NUM
hjic-97	95	33	that	that	SCONJ
hjic-97	95	34	the	the	DET
hjic-97	95	35	maximum	maximum	ADJ
hjic-97	95	36	likelihood	likelihood	NOUN
hjic-97	95	37	method	method	NOUN
hjic-97	95	38	yielded	yield	VERB
hjic-97	95	39	the	the	DET
hjic-97	95	40	most	most	ADV
hjic-97	95	41	consistent	consistent	ADJ
hjic-97	95	42	values	value	NOUN
hjic-97	95	43	for	for	ADP
hjic-97	95	44	the	the	DET
hjic-97	95	45	parameters	parameter	NOUN
hjic-97	95	46	.	.	PUNCT
hjic-97	96	1	table	table	NOUN
hjic-97	96	2	6	6	NUM
hjic-97	96	3	parameters	parameter	NOUN
hjic-97	96	4	obtained	obtain	VERB
hjic-97	96	5	for	for	ADP
hjic-97	96	6	example	example	NOUN
hjic-97	96	7	3	3	NUM
hjic-97	96	8	with	with	ADP
hjic-97	96	9	the	the	DET
hjic-97	96	10	use	use	NOUN
hjic-97	96	11	of	of	ADP
hjic-97	96	12	every	every	DET
hjic-97	96	13	second	second	ADJ
hjic-97	96	14	data	data	NOUN
hjic-97	96	15	point	point	NOUN
hjic-97	96	16	and	and	CCONJ
hjic-97	96	17	the	the	DET
hjic-97	96	18	last	last	ADJ
hjic-97	96	19	one	one	NUM
hjic-97	96	20	(	(	PUNCT
hjic-97	96	21	6	6	NUM
hjic-97	96	22	data	datum	NOUN
hjic-97	96	23	points	point	NOUN
hjic-97	96	24	)	)	PUNCT
hjic-97	96	25	but	but	CCONJ
hjic-97	96	26	evaluated	evaluate	VERB
hjic-97	96	27	with	with	ADP
hjic-97	96	28	entire	entire	ADJ
hjic-97	96	29	data	datum	NOUN
hjic-97	96	30	length	length	NOUN
hjic-97	96	31	µ	µ	PROPN
hjic-97	96	32	α	α	NOUN
hjic-97	96	33	β	β	NOUN
hjic-97	96	34	∑	∑	PUNCT
hjic-97	96	35	=	=	SYM
hjic-97	96	36	−	−	PROPN
hjic-97	96	37	10	10	NUM
hjic-97	96	38	1	1	NUM
hjic-97	96	39	2	2	NUM
hjic-97	96	40	)	)	PUNCT
hjic-97	96	41	(	(	PUNCT
hjic-97	96	42	i	i	PROPN
hjic-97	96	43	sii	sii	INTJ
hjic-97	96	44	tt	tt	PROPN
hjic-97	96	45	eiv	eiv	PROPN
hjic-97	96	46	ml	ml	PROPN
hjic-97	96	47	ls	ls	PROPN
hjic-97	96	48	17.323	17.323	NUM
hjic-97	96	49	102.506	102.506	NUM
hjic-97	96	50	0.000	0.000	NUM
hjic-97	96	51	169.824	169.824	NUM
hjic-97	96	52	77.016	77.016	NUM
hjic-97	96	53	188.474	188.474	NUM
hjic-97	96	54	3.8339	3.8339	NUM
hjic-97	96	55	1.8877	1.8877	NUM
hjic-97	96	56	4.0675	4.0675	NUM
hjic-97	96	57	1068.61	1068.61	NUM
hjic-97	96	58	423.78	423.78	NUM
hjic-97	96	59	1499.66	1499.66	NUM
hjic-97	96	60	example	example	NOUN
hjic-97	96	61	4	4	NUM
hjic-97	96	62	:	:	PUNCT
hjic-97	96	63	lifetime	lifetime	NOUN
hjic-97	96	64	of	of	ADP
hjic-97	96	65	fruit	fruit	NOUN
hjic-97	96	66	flies	fly	VERB
hjic-97	96	67	for	for	ADP
hjic-97	96	68	the	the	DET
hjic-97	96	69	data	datum	NOUN
hjic-97	96	70	on	on	ADP
hjic-97	96	71	the	the	DET
hjic-97	96	72	lives	life	NOUN
hjic-97	96	73	of	of	ADP
hjic-97	96	74	50	50	NUM
hjic-97	96	75	fruit	fruit	NOUN
hjic-97	96	76	flies	fly	NOUN
hjic-97	96	77	in	in	ADP
hjic-97	96	78	seconds	second	NOUN
hjic-97	96	79	when	when	SCONJ
hjic-97	96	80	exposed	expose	VERB
hjic-97	96	81	to	to	ADP
hjic-97	96	82	a	a	DET
hjic-97	96	83	spray	spray	NOUN
hjic-97	96	84	in	in	ADP
hjic-97	96	85	a	a	DET
hjic-97	96	86	controlled	control	VERB
hjic-97	96	87	laboratory	laboratory	NOUN
hjic-97	96	88	experiment	experiment	NOUN
hjic-97	96	89	as	as	SCONJ
hjic-97	96	90	given	give	VERB
hjic-97	96	91	by	by	ADP
hjic-97	96	92	walpole	walpole	PROPN
hjic-97	96	93	and	and	CCONJ
hjic-97	96	94	myers	myer	NOUN
hjic-97	96	95	[	[	X
hjic-97	96	96	10	10	NUM
hjic-97	96	97	]	]	PUNCT
hjic-97	96	98	,	,	PUNCT
hjic-97	96	99	we	we	PRON
hjic-97	96	100	obtained	obtain	VERB
hjic-97	96	101	the	the	DET
hjic-97	96	102	parameter	parameter	NOUN
hjic-97	96	103	values	value	NOUN
hjic-97	96	104	shown	show	VERB
hjic-97	96	105	in	in	ADP
hjic-97	96	106	table	table	NOUN
hjic-97	96	107	7	7	NUM
hjic-97	96	108	with	with	ADP
hjic-97	96	109	i	i	PRON
hjic-97	96	110	=	=	PUNCT
hjic-97	96	111	18.879469	18.879469	NUM
hjic-97	96	112	,	,	PUNCT
hjic-97	96	113	l	l	X
hjic-97	96	114	=	=	PUNCT
hjic-97	96	115	4.8751765	4.8751765	NUM
hjic-97	96	116	×	×	NOUN
hjic-97	96	117	10	10	NUM
hjic-97	96	118	-	-	SYM
hjic-97	96	119	18	18	NUM
hjic-97	96	120	,	,	PUNCT
hjic-97	96	121	and	and	CCONJ
hjic-97	96	122	s	s	X
hjic-97	96	123	=	=	SYM
hjic-97	96	124	3.8023533	3.8023533	NUM
hjic-97	96	125	×	×	NOUN
hjic-97	96	126	10	10	NUM
hjic-97	96	127	-	-	SYM
hjic-97	96	128	2	2	NUM
hjic-97	96	129	.	.	PUNCT
hjic-97	96	130	table	table	NOUN
hjic-97	96	131	7	7	NUM
hjic-97	96	132	parameters	parameter	NOUN
hjic-97	96	133	obtained	obtain	VERB
hjic-97	96	134	for	for	ADP
hjic-97	96	135	example	example	NOUN
hjic-97	96	136	4	4	NUM
hjic-97	96	137	,	,	PUNCT
hjic-97	96	138	given	give	VERB
hjic-97	96	139	the	the	DET
hjic-97	96	140	time	time	NOUN
hjic-97	96	141	-	-	PUNCT
hjic-97	96	142	tofailure	tofailure	ADJ
hjic-97	96	143	data	datum	NOUN
hjic-97	96	144	:	:	PUNCT
hjic-97	96	145	3	3	NUM
hjic-97	96	146	,	,	PUNCT
hjic-97	96	147	4	4	NUM
hjic-97	96	148	,	,	PUNCT
hjic-97	96	149	5	5	NUM
hjic-97	96	150	,	,	PUNCT
hjic-97	96	151	6	6	NUM
hjic-97	96	152	,	,	PUNCT
hjic-97	96	153	6	6	NUM
hjic-97	96	154	,	,	PUNCT
hjic-97	96	155	6	6	NUM
hjic-97	96	156	,	,	PUNCT
hjic-97	96	157	7	7	NUM
hjic-97	96	158	,	,	PUNCT
hjic-97	96	159	7	7	NUM
hjic-97	96	160	,	,	PUNCT
hjic-97	96	161	7	7	NUM
hjic-97	96	162	,	,	PUNCT
hjic-97	96	163	7	7	NUM
hjic-97	96	164	,	,	PUNCT
hjic-97	96	165	7	7	NUM
hjic-97	96	166	,	,	PUNCT
hjic-97	96	167	7	7	NUM
hjic-97	96	168	,	,	PUNCT
hjic-97	96	169	7	7	NUM
hjic-97	96	170	,	,	PUNCT
hjic-97	96	171	8	8	NUM
hjic-97	96	172	,	,	PUNCT
hjic-97	96	173	8	8	NUM
hjic-97	96	174	,	,	PUNCT
hjic-97	96	175	9	9	NUM
hjic-97	96	176	,	,	PUNCT
hjic-97	96	177	9	9	NUM
hjic-97	96	178	,	,	PUNCT
hjic-97	96	179	9	9	NUM
hjic-97	96	180	,	,	PUNCT
hjic-97	96	181	9	9	NUM
hjic-97	96	182	,	,	PUNCT
hjic-97	96	183	10	10	NUM
hjic-97	96	184	,	,	PUNCT
hjic-97	96	185	10	10	NUM
hjic-97	96	186	,	,	PUNCT
hjic-97	96	187	10	10	NUM
hjic-97	96	188	,	,	PUNCT
hjic-97	96	189	10	10	NUM
hjic-97	96	190	,	,	PUNCT
hjic-97	96	191	10	10	NUM
hjic-97	96	192	,	,	PUNCT
hjic-97	96	193	10	10	NUM
hjic-97	96	194	,	,	PUNCT
hjic-97	96	195	11	11	NUM
hjic-97	96	196	,	,	PUNCT
hjic-97	96	197	12	12	NUM
hjic-97	96	198	,	,	PUNCT
hjic-97	96	199	12	12	NUM
hjic-97	96	200	,	,	PUNCT
hjic-97	96	201	13	13	NUM
hjic-97	96	202	,	,	PUNCT
hjic-97	96	203	13	13	NUM
hjic-97	96	204	,	,	PUNCT
hjic-97	96	205	13	13	NUM
hjic-97	96	206	,	,	PUNCT
hjic-97	96	207	13	13	NUM
hjic-97	96	208	,	,	PUNCT
hjic-97	96	209	13	13	NUM
hjic-97	96	210	,	,	PUNCT
hjic-97	96	211	14	14	NUM
hjic-97	96	212	,	,	PUNCT
hjic-97	96	213	14	14	NUM
hjic-97	96	214	,	,	PUNCT
hjic-97	96	215	15	15	NUM
hjic-97	96	216	,	,	PUNCT
hjic-97	96	217	15	15	NUM
hjic-97	96	218	,	,	PUNCT
hjic-97	96	219	16	16	NUM
hjic-97	96	220	,	,	PUNCT
hjic-97	96	221	16	16	NUM
hjic-97	96	222	,	,	PUNCT
hjic-97	96	223	17	17	NUM
hjic-97	96	224	,	,	PUNCT
hjic-97	96	225	18	18	NUM
hjic-97	96	226	,	,	PUNCT
hjic-97	96	227	18	18	NUM
hjic-97	96	228	,	,	PUNCT
hjic-97	96	229	18	18	NUM
hjic-97	96	230	,	,	PUNCT
hjic-97	96	231	19	19	NUM
hjic-97	96	232	,	,	PUNCT
hjic-97	96	233	19	19	NUM
hjic-97	96	234	,	,	PUNCT
hjic-97	96	235	20	20	NUM
hjic-97	96	236	,	,	PUNCT
hjic-97	96	237	23	23	NUM
hjic-97	96	238	,	,	PUNCT
hjic-97	96	239	24	24	NUM
hjic-97	96	240	,	,	PUNCT
hjic-97	96	241	27	27	NUM
hjic-97	96	242	,	,	PUNCT
hjic-97	96	243	32	32	NUM
hjic-97	96	244	µ	µ	NOUN
hjic-97	96	245	α	α	X
hjic-97	96	246	β	β	X
hjic-97	96	247	∑	∑	PUNCT
hjic-97	96	248	=	=	SYM
hjic-97	96	249	−	−	PROPN
hjic-97	96	250	50	50	NUM
hjic-97	96	251	1	1	NUM
hjic-97	96	252	2	2	NUM
hjic-97	96	253	)	)	PUNCT
hjic-97	96	254	(	(	PUNCT
hjic-97	96	255	i	i	PROPN
hjic-97	96	256	sii	sii	INTJ
hjic-97	96	257	tt	tt	PROPN
hjic-97	96	258	eiv	eiv	PROPN
hjic-97	96	259	ml	ml	PROPN
hjic-97	96	260	ls	ls	PROPN
hjic-97	96	261	3.0000	3.0000	NUM
hjic-97	96	262	2.6548	2.6548	NUM
hjic-97	96	263	3.0000	3.0000	NUM
hjic-97	96	264	10.3405	10.3405	NUM
hjic-97	96	265	10.8189	10.8189	NUM
hjic-97	96	266	10.3032	10.3032	NUM
hjic-97	96	267	1.4947	1.4947	NUM
hjic-97	96	268	1.6606	1.6606	NUM
hjic-97	96	269	1.5949	1.5949	NUM
hjic-97	96	270	18.879	18.879	NUM
hjic-97	96	271	28.646	28.646	NUM
hjic-97	96	272	27.829	27.829	NUM
hjic-97	96	273	when	when	SCONJ
hjic-97	96	274	only	only	ADV
hjic-97	96	275	half	half	NOUN
hjic-97	96	276	of	of	ADP
hjic-97	96	277	the	the	DET
hjic-97	96	278	data	datum	NOUN
hjic-97	96	279	were	be	AUX
hjic-97	96	280	used	use	VERB
hjic-97	96	281	,	,	PUNCT
hjic-97	96	282	as	as	SCONJ
hjic-97	96	283	is	be	AUX
hjic-97	96	284	seen	see	VERB
hjic-97	96	285	in	in	ADP
hjic-97	96	286	table	table	NOUN
hjic-97	96	287	8	8	NUM
hjic-97	96	288	,	,	PUNCT
hjic-97	96	289	the	the	DET
hjic-97	96	290	best	good	ADJ
hjic-97	96	291	results	result	NOUN
hjic-97	96	292	were	be	AUX
hjic-97	96	293	obtained	obtain	VERB
hjic-97	96	294	with	with	ADP
hjic-97	96	295	the	the	DET
hjic-97	96	296	least	least	ADJ
hjic-97	96	297	squares	square	NOUN
hjic-97	96	298	method	method	NOUN
hjic-97	96	299	.	.	PUNCT
hjic-97	97	1	table	table	NOUN
hjic-97	97	2	8	8	NUM
hjic-97	97	3	parameters	parameter	NOUN
hjic-97	97	4	obtained	obtain	VERB
hjic-97	97	5	for	for	ADP
hjic-97	97	6	example	example	NOUN
hjic-97	97	7	4	4	NUM
hjic-97	97	8	with	with	ADP
hjic-97	97	9	the	the	DET
hjic-97	97	10	use	use	NOUN
hjic-97	97	11	of	of	ADP
hjic-97	97	12	every	every	DET
hjic-97	97	13	second	second	ADJ
hjic-97	97	14	data	data	NOUN
hjic-97	97	15	point	point	NOUN
hjic-97	97	16	and	and	CCONJ
hjic-97	97	17	the	the	DET
hjic-97	97	18	last	last	ADJ
hjic-97	97	19	one	one	NUM
hjic-97	97	20	(	(	PUNCT
hjic-97	97	21	26	26	NUM
hjic-97	97	22	data	datum	NOUN
hjic-97	97	23	points	point	NOUN
hjic-97	97	24	)	)	PUNCT
hjic-97	97	25	but	but	CCONJ
hjic-97	97	26	evaluated	evaluate	VERB
hjic-97	97	27	with	with	ADP
hjic-97	97	28	entire	entire	ADJ
hjic-97	97	29	data	datum	NOUN
hjic-97	97	30	length	length	NOUN
hjic-97	97	31	µ	µ	PROPN
hjic-97	97	32	α	α	NOUN
hjic-97	97	33	β	β	NOUN
hjic-97	97	34	∑	∑	PUNCT
hjic-97	97	35	=	=	SYM
hjic-97	97	36	−	−	PROPN
hjic-97	97	37	50	50	NUM
hjic-97	97	38	1	1	NUM
hjic-97	97	39	2	2	NUM
hjic-97	97	40	)	)	PUNCT
hjic-97	97	41	(	(	PUNCT
hjic-97	97	42	i	i	PROPN
hjic-97	97	43	sii	sii	INTJ
hjic-97	97	44	tt	tt	PROPN
hjic-97	97	45	eiv	eiv	PROPN
hjic-97	97	46	ml	ml	PROPN
hjic-97	97	47	ls	ls	PROPN
hjic-97	97	48	3.0000	3.0000	NUM
hjic-97	97	49	2.5974	2.5974	NUM
hjic-97	97	50	3.0000	3.0000	NUM
hjic-97	97	51	10.6904	10.6904	NUM
hjic-97	97	52	11.2482	11.2482	NUM
hjic-97	97	53	10.6047	10.6047	NUM
hjic-97	97	54	1.3285	1.3285	NUM
hjic-97	97	55	1.5300	1.5300	NUM
hjic-97	97	56	1.4892	1.4892	NUM
hjic-97	97	57	84.548	84.548	NUM
hjic-97	97	58	36.322	36.322	NUM
hjic-97	97	59	23.355	23.355	NUM
hjic-97	97	60	example	example	NOUN
hjic-97	97	61	5	5	NUM
hjic-97	97	62	:	:	PUNCT
hjic-97	97	63	lifetime	lifetime	NOUN
hjic-97	97	64	of	of	ADP
hjic-97	97	65	fuel	fuel	NOUN
hjic-97	97	66	pumps	pump	NOUN
hjic-97	97	67	for	for	ADP
hjic-97	97	68	the	the	DET
hjic-97	97	69	data	datum	NOUN
hjic-97	97	70	on	on	ADP
hjic-97	97	71	the	the	DET
hjic-97	97	72	lives	life	NOUN
hjic-97	97	73	in	in	ADP
hjic-97	97	74	years	year	NOUN
hjic-97	97	75	of	of	ADP
hjic-97	97	76	30	30	NUM
hjic-97	97	77	similar	similar	ADJ
hjic-97	97	78	fuel	fuel	NOUN
hjic-97	97	79	pumps	pump	NOUN
hjic-97	97	80	as	as	SCONJ
hjic-97	97	81	presented	present	VERB
hjic-97	97	82	by	by	ADP
hjic-97	97	83	walpole	walpole	PROPN
hjic-97	97	84	and	and	CCONJ
hjic-97	97	85	myers	myer	NOUN
hjic-97	97	86	[	[	X
hjic-97	97	87	10	10	NUM
hjic-97	97	88	]	]	PUNCT
hjic-97	97	89	,	,	PUNCT
hjic-97	97	90	convergence	convergence	NOUN
hjic-97	97	91	to	to	ADP
hjic-97	97	92	i	i	PROPN
hjic-97	97	93	=	=	SYM
hjic-97	97	94	14.135236	14.135236	NUM
hjic-97	97	95	,	,	PUNCT
hjic-97	97	96	l	l	NOUN
hjic-97	98	1	=	=	PUNCT
hjic-97	99	1	3.456841	3.456841	NUM
hjic-97	99	2	×	×	NOUN
hjic-97	99	3	10	10	NUM
hjic-97	99	4	-	-	SYM
hjic-97	99	5	26	26	NUM
hjic-97	99	6	,	,	PUNCT
hjic-97	99	7	and	and	CCONJ
hjic-97	99	8	s	s	X
hjic-97	99	9	=	=	SYM
hjic-97	99	10	6.2525950	6.2525950	NUM
hjic-97	99	11	×	×	NOUN
hjic-97	99	12	10	10	NUM
hjic-97	99	13	-	-	SYM
hjic-97	99	14	2	2	NUM
hjic-97	99	15	was	be	AUX
hjic-97	99	16	easily	easily	ADV
hjic-97	99	17	obtained	obtain	VERB
hjic-97	99	18	,	,	PUNCT
hjic-97	99	19	yielding	yield	VERB
hjic-97	99	20	the	the	DET
hjic-97	99	21	parameter	parameter	NOUN
hjic-97	99	22	values	value	NOUN
hjic-97	99	23	in	in	ADP
hjic-97	99	24	table	table	NOUN
hjic-97	99	25	9	9	NUM
hjic-97	99	26	.	.	PUNCT
hjic-97	100	1	when	when	SCONJ
hjic-97	100	2	only	only	ADV
hjic-97	100	3	half	half	NOUN
hjic-97	100	4	of	of	ADP
hjic-97	100	5	the	the	DET
hjic-97	100	6	data	datum	NOUN
hjic-97	100	7	were	be	AUX
hjic-97	100	8	used	use	VERB
hjic-97	100	9	,	,	PUNCT
hjic-97	100	10	table	table	NOUN
hjic-97	100	11	10	10	NUM
hjic-97	100	12	shows	show	VERB
hjic-97	100	13	that	that	SCONJ
hjic-97	100	14	eiv	eiv	PROPN
hjic-97	100	15	yielded	yield	VERB
hjic-97	100	16	the	the	DET
hjic-97	100	17	best	good	ADJ
hjic-97	100	18	results	result	NOUN
hjic-97	100	19	.	.	PUNCT
hjic-97	101	1	here	here	ADV
hjic-97	101	2	it	it	PRON
hjic-97	101	3	is	be	AUX
hjic-97	101	4	noted	note	VERB
hjic-97	101	5	that	that	SCONJ
hjic-97	101	6	for	for	ADP
hjic-97	101	7	the	the	DET
hjic-97	101	8	maximum	maximum	ADJ
hjic-97	101	9	likelihood	likelihood	NOUN
hjic-97	101	10	method	method	NOUN
hjic-97	101	11	µ	µ	NOUN
hjic-97	101	12	is	be	AUX
hjic-97	101	13	very	very	ADV
hjic-97	101	14	close	close	ADJ
hjic-97	101	15	to	to	PART
hjic-97	101	16	t1	t1	VERB
hjic-97	101	17	and	and	CCONJ
hjic-97	101	18	β	β	X
hjic-97	101	19	is	be	AUX
hjic-97	101	20	very	very	ADV
hjic-97	101	21	close	close	ADJ
hjic-97	101	22	to	to	ADP
hjic-97	101	23	1	1	NUM
hjic-97	101	24	,	,	PUNCT
hjic-97	101	25	so	so	ADV
hjic-97	101	26	the	the	DET
hjic-97	101	27	maximum	maximum	ADJ
hjic-97	101	28	likelihood	likelihood	NOUN
hjic-97	101	29	estimation	estimation	NOUN
hjic-97	101	30	procedure	procedure	NOUN
hjic-97	101	31	is	be	AUX
hjic-97	101	32	not	not	PART
hjic-97	101	33	very	very	ADV
hjic-97	101	34	reliable	reliable	ADJ
hjic-97	101	35	.	.	PUNCT
hjic-97	102	1	for	for	ADP
hjic-97	102	2	this	this	DET
hjic-97	102	3	example	example	NOUN
hjic-97	102	4	,	,	PUNCT
hjic-97	102	5	therefore	therefore	ADV
hjic-97	102	6	,	,	PUNCT
hjic-97	102	7	the	the	DET
hjic-97	102	8	errors	error	NOUN
hjic-97	102	9	-	-	PUNCT
hjic-97	102	10	in	in	ADP
hjic-97	102	11	-	-	PUNCT
hjic-97	102	12	variables	variable	NOUN
hjic-97	102	13	approach	approach	NOUN
hjic-97	102	14	gives	give	VERB
hjic-97	102	15	the	the	DET
hjic-97	102	16	most	most	ADV
hjic-97	102	17	reliable	reliable	ADJ
hjic-97	102	18	parameter	parameter	NOUN
hjic-97	102	19	estimates	estimate	NOUN
hjic-97	102	20	.	.	PUNCT
hjic-97	103	1	table	table	NOUN
hjic-97	103	2	9	9	NUM
hjic-97	103	3	parameters	parameter	NOUN
hjic-97	103	4	obtained	obtain	VERB
hjic-97	103	5	for	for	ADP
hjic-97	103	6	example	example	NOUN
hjic-97	103	7	5	5	NUM
hjic-97	103	8	,	,	PUNCT
hjic-97	103	9	given	give	VERB
hjic-97	103	10	the	the	DET
hjic-97	103	11	time	time	NOUN
hjic-97	103	12	-	-	PUNCT
hjic-97	103	13	tofailure	tofailure	ADJ
hjic-97	103	14	data	datum	NOUN
hjic-97	103	15	:	:	PUNCT
hjic-97	103	16	0.2	0.2	NUM
hjic-97	103	17	,	,	PUNCT
hjic-97	103	18	0.2	0.2	NUM
hjic-97	103	19	,	,	PUNCT
hjic-97	103	20	0.2	0.2	NUM
hjic-97	103	21	,	,	PUNCT
hjic-97	103	22	0.3	0.3	NUM
hjic-97	103	23	,	,	PUNCT
hjic-97	103	24	0.3	0.3	NUM
hjic-97	103	25	,	,	PUNCT
hjic-97	103	26	0.4	0.4	NUM
hjic-97	103	27	,	,	PUNCT
hjic-97	103	28	0.5	0.5	NUM
hjic-97	103	29	,	,	PUNCT
hjic-97	103	30	0.7	0.7	NUM
hjic-97	103	31	,	,	PUNCT
hjic-97	103	32	1.0	1.0	NUM
hjic-97	103	33	,	,	PUNCT
hjic-97	103	34	1.2	1.2	NUM
hjic-97	103	35	,	,	PUNCT
hjic-97	103	36	1.3	1.3	NUM
hjic-97	103	37	,	,	PUNCT
hjic-97	103	38	1.5	1.5	NUM
hjic-97	103	39	,	,	PUNCT
hjic-97	103	40	1.5	1.5	NUM
hjic-97	103	41	,	,	PUNCT
hjic-97	103	42	1.8	1.8	NUM
hjic-97	103	43	,	,	PUNCT
hjic-97	103	44	2.0	2.0	NUM
hjic-97	103	45	,	,	PUNCT
hjic-97	103	46	2.3	2.3	NUM
hjic-97	103	47	,	,	PUNCT
hjic-97	103	48	2.5	2.5	NUM
hjic-97	103	49	,	,	PUNCT
hjic-97	103	50	3.0	3.0	NUM
hjic-97	103	51	,	,	PUNCT
hjic-97	103	52	3.3	3.3	NUM
hjic-97	103	53	,	,	PUNCT
hjic-97	103	54	4.0	4.0	NUM
hjic-97	103	55	,	,	PUNCT
hjic-97	103	56	4.5	4.5	NUM
hjic-97	103	57	,	,	PUNCT
hjic-97	103	58	4.7	4.7	NUM
hjic-97	103	59	,	,	PUNCT
hjic-97	103	60	5.0	5.0	NUM
hjic-97	103	61	,	,	PUNCT
hjic-97	103	62	5.5	5.5	NUM
hjic-97	103	63	,	,	PUNCT
hjic-97	103	64	5.6	5.6	NUM
hjic-97	103	65	,	,	PUNCT
hjic-97	103	66	5.9	5.9	NUM
hjic-97	103	67	,	,	PUNCT
hjic-97	103	68	6.0	6.0	NUM
hjic-97	103	69	,	,	PUNCT
hjic-97	103	70	6.0	6.0	NUM
hjic-97	103	71	,	,	PUNCT
hjic-97	103	72	6.0	6.0	NUM
hjic-97	103	73	,	,	PUNCT
hjic-97	103	74	6.5	6.5	NUM
hjic-97	103	75	µ	µ	NOUN
hjic-97	103	76	α	α	PRON
hjic-97	103	77	β	β	NOUN
hjic-97	103	78	∑	∑	PUNCT
hjic-97	103	79	=	=	SYM
hjic-97	103	80	−	−	PROPN
hjic-97	103	81	30	30	NUM
hjic-97	103	82	1	1	NUM
hjic-97	103	83	2	2	NUM
hjic-97	103	84	)	)	PUNCT
hjic-97	103	85	(	(	PUNCT
hjic-97	103	86	i	i	PROPN
hjic-97	103	87	sii	sii	INTJ
hjic-97	103	88	tt	tt	PROPN
hjic-97	103	89	eiv	eiv	PROPN
hjic-97	103	90	ml	ml	PROPN
hjic-97	103	91	ls	ls	PROPN
hjic-97	103	92	0.00000	0.00000	NUM
hjic-97	103	93	0.20000	0.20000	NUM
hjic-97	103	94	0.00000	0.00000	NUM
hjic-97	103	95	3.2353	3.2353	NUM
hjic-97	103	96	2.5965	2.5965	NUM
hjic-97	103	97	3.1446	3.1446	NUM
hjic-97	103	98	1.4346	1.4346	NUM
hjic-97	103	99	1.0000	1.0000	NUM
hjic-97	103	100	0.9248	0.9248	NUM
hjic-97	103	101	14.135	14.135	NUM
hjic-97	103	102	26.517	26.517	NUM
hjic-97	103	103	68.778	68.778	NUM
hjic-97	103	104	table	table	NOUN
hjic-97	103	105	10	10	NUM
hjic-97	103	106	parameters	parameter	NOUN
hjic-97	103	107	obtained	obtain	VERB
hjic-97	103	108	for	for	ADP
hjic-97	103	109	example	example	NOUN
hjic-97	103	110	5	5	NUM
hjic-97	103	111	with	with	ADP
hjic-97	103	112	the	the	DET
hjic-97	103	113	use	use	NOUN
hjic-97	103	114	of	of	ADP
hjic-97	103	115	every	every	DET
hjic-97	103	116	second	second	ADJ
hjic-97	103	117	data	data	NOUN
hjic-97	103	118	point	point	NOUN
hjic-97	103	119	and	and	CCONJ
hjic-97	103	120	the	the	DET
hjic-97	103	121	last	last	ADJ
hjic-97	103	122	one	one	NUM
hjic-97	103	123	(	(	PUNCT
hjic-97	103	124	16	16	NUM
hjic-97	103	125	data	datum	NOUN
hjic-97	103	126	points	point	NOUN
hjic-97	103	127	)	)	PUNCT
hjic-97	103	128	but	but	CCONJ
hjic-97	103	129	evaluated	evaluate	VERB
hjic-97	103	130	with	with	ADP
hjic-97	103	131	entire	entire	ADJ
hjic-97	103	132	data	datum	NOUN
hjic-97	103	133	length	length	NOUN
hjic-97	103	134	µ	µ	PROPN
hjic-97	103	135	α	α	NOUN
hjic-97	103	136	β	β	NOUN
hjic-97	103	137	∑	∑	PUNCT
hjic-97	103	138	=	=	SYM
hjic-97	103	139	−	−	PROPN
hjic-97	103	140	50	50	NUM
hjic-97	103	141	1	1	NUM
hjic-97	103	142	2	2	NUM
hjic-97	103	143	)	)	PUNCT
hjic-97	103	144	(	(	PUNCT
hjic-97	103	145	i	i	PROPN
hjic-97	103	146	sii	sii	INTJ
hjic-97	103	147	tt	tt	PROPN
hjic-97	103	148	eiv	eiv	PROPN
hjic-97	103	149	ml	ml	PROPN
hjic-97	103	150	ls	ls	PROPN
hjic-97	103	151	0.00000	0.00000	NUM
hjic-97	103	152	0.20000	0.20000	NUM
hjic-97	103	153	0.00000	0.00000	NUM
hjic-97	103	154	3.3732	3.3732	NUM
hjic-97	103	155	2.6999	2.6999	NUM
hjic-97	103	156	3.2830	3.2830	NUM
hjic-97	103	157	1.3757	1.3757	NUM
hjic-97	103	158	1.0000	1.0000	NUM
hjic-97	103	159	0.8826	0.8826	NUM
hjic-97	103	160	15.642	15.642	NUM
hjic-97	103	161	28.337	28.337	NUM
hjic-97	103	162	105.122	105.122	NUM
hjic-97	103	163	73	73	NUM
hjic-97	103	164	conclusions	conclusion	NOUN
hjic-97	103	165	the	the	DET
hjic-97	103	166	luus	luus	PROPN
hjic-97	103	167	-	-	PUNCT
hjic-97	103	168	jaakola	jaakola	PROPN
hjic-97	103	169	optimization	optimization	NOUN
hjic-97	103	170	procedure	procedure	NOUN
hjic-97	103	171	is	be	AUX
hjic-97	103	172	easy	easy	ADJ
hjic-97	103	173	to	to	PART
hjic-97	103	174	use	use	VERB
hjic-97	103	175	for	for	ADP
hjic-97	103	176	parameter	parameter	NOUN
hjic-97	103	177	estimation	estimation	NOUN
hjic-97	103	178	for	for	ADP
hjic-97	103	179	the	the	DET
hjic-97	103	180	weibull	weibull	PROPN
hjic-97	103	181	distribution	distribution	NOUN
hjic-97	103	182	,	,	PUNCT
hjic-97	103	183	since	since	SCONJ
hjic-97	103	184	no	no	DET
hjic-97	103	185	transformations	transformation	NOUN
hjic-97	103	186	are	be	AUX
hjic-97	103	187	required	require	VERB
hjic-97	103	188	.	.	PUNCT
hjic-97	104	1	the	the	DET
hjic-97	104	2	optimal	optimal	ADJ
hjic-97	104	3	parameter	parameter	NOUN
hjic-97	104	4	values	value	NOUN
hjic-97	104	5	are	be	AUX
hjic-97	104	6	readily	readily	ADV
hjic-97	104	7	obtained	obtain	VERB
hjic-97	104	8	in	in	ADP
hjic-97	104	9	negligible	negligible	ADJ
hjic-97	104	10	computation	computation	NOUN
hjic-97	104	11	time	time	NOUN
hjic-97	104	12	on	on	ADP
hjic-97	104	13	a	a	DET
hjic-97	104	14	personal	personal	ADJ
hjic-97	104	15	computer	computer	NOUN
hjic-97	104	16	.	.	PUNCT
hjic-97	105	1	errors	error	NOUN
hjic-97	105	2	-	-	PUNCT
hjic-97	105	3	in	in	ADP
hjic-97	105	4	-	-	PUNCT
hjic-97	105	5	variables	variable	NOUN
hjic-97	105	6	approach	approach	NOUN
hjic-97	105	7	is	be	AUX
hjic-97	105	8	easy	easy	ADJ
hjic-97	105	9	to	to	PART
hjic-97	105	10	use	use	VERB
hjic-97	105	11	with	with	ADP
hjic-97	105	12	direct	direct	ADJ
hjic-97	105	13	search	search	NOUN
hjic-97	105	14	optimization	optimization	NOUN
hjic-97	105	15	,	,	PUNCT
hjic-97	105	16	and	and	CCONJ
hjic-97	105	17	no	no	DET
hjic-97	105	18	computational	computational	ADJ
hjic-97	105	19	difficulties	difficulty	NOUN
hjic-97	105	20	were	be	AUX
hjic-97	105	21	encountered	encounter	VERB
hjic-97	105	22	with	with	ADP
hjic-97	105	23	the	the	DET
hjic-97	105	24	use	use	NOUN
hjic-97	105	25	of	of	ADP
hjic-97	105	26	the	the	DET
hjic-97	105	27	lj	lj	PROPN
hjic-97	105	28	optimization	optimization	NOUN
hjic-97	105	29	procedure	procedure	NOUN
hjic-97	105	30	.	.	PUNCT
hjic-97	106	1	however	however	ADV
hjic-97	106	2	,	,	PUNCT
hjic-97	106	3	with	with	ADP
hjic-97	106	4	the	the	DET
hjic-97	106	5	maximum	maximum	ADJ
hjic-97	106	6	likelihood	likelihood	NOUN
hjic-97	106	7	function	function	NOUN
hjic-97	106	8	,	,	PUNCT
hjic-97	106	9	great	great	ADJ
hjic-97	106	10	care	care	NOUN
hjic-97	106	11	is	be	AUX
hjic-97	106	12	required	require	VERB
hjic-97	106	13	if	if	SCONJ
hjic-97	106	14	β	β	X
hjic-97	106	15	<	<	X
hjic-97	106	16	1	1	NUM
hjic-97	106	17	,	,	PUNCT
hjic-97	106	18	and	and	CCONJ
hjic-97	106	19	µ	µ	NOUN
hjic-97	106	20	is	be	AUX
hjic-97	106	21	very	very	ADV
hjic-97	106	22	close	close	ADJ
hjic-97	106	23	to	to	PART
hjic-97	106	24	t1	t1	VERB
hjic-97	106	25	.	.	PUNCT
hjic-97	107	1	the	the	DET
hjic-97	107	2	parameter	parameter	NOUN
hjic-97	107	3	estimates	estimate	NOUN
hjic-97	107	4	obtained	obtain	VERB
hjic-97	107	5	by	by	ADP
hjic-97	107	6	eiv	eiv	PROPN
hjic-97	107	7	are	be	AUX
hjic-97	107	8	closer	close	ADJ
hjic-97	107	9	to	to	ADP
hjic-97	107	10	those	those	PRON
hjic-97	107	11	obtained	obtain	VERB
hjic-97	107	12	by	by	ADP
hjic-97	107	13	maximum	maximum	ADJ
hjic-97	107	14	likelihood	likelihood	NOUN
hjic-97	107	15	than	than	ADP
hjic-97	107	16	by	by	ADP
hjic-97	107	17	least	least	ADJ
hjic-97	107	18	squares	square	NOUN
hjic-97	107	19	.	.	PUNCT
hjic-97	108	1	the	the	DET
hjic-97	108	2	least	least	ADJ
hjic-97	108	3	squares	square	NOUN
hjic-97	108	4	approach	approach	NOUN
hjic-97	108	5	tends	tend	VERB
hjic-97	108	6	to	to	PART
hjic-97	108	7	give	give	VERB
hjic-97	108	8	the	the	DET
hjic-97	108	9	least	least	ADJ
hjic-97	108	10	reliable	reliable	ADJ
hjic-97	108	11	parameter	parameter	NOUN
hjic-97	108	12	estimates	estimate	NOUN
hjic-97	108	13	.	.	PUNCT
hjic-97	109	1	for	for	ADP
hjic-97	109	2	most	most	ADJ
hjic-97	109	3	of	of	ADP
hjic-97	109	4	the	the	DET
hjic-97	109	5	data	data	NOUN
hjic-97	109	6	sets	set	NOUN
hjic-97	109	7	,	,	PUNCT
hjic-97	109	8	the	the	DET
hjic-97	109	9	maximum	maximum	ADJ
hjic-97	109	10	likelihood	likelihood	NOUN
hjic-97	109	11	method	method	NOUN
hjic-97	109	12	gave	give	VERB
hjic-97	109	13	the	the	DET
hjic-97	109	14	most	most	ADV
hjic-97	109	15	consistent	consistent	ADJ
hjic-97	109	16	estimates	estimate	NOUN
hjic-97	109	17	for	for	ADP
hjic-97	109	18	the	the	DET
hjic-97	109	19	parameters	parameter	NOUN
hjic-97	109	20	when	when	SCONJ
hjic-97	109	21	a	a	DET
hjic-97	109	22	shorter	short	ADJ
hjic-97	109	23	data	datum	NOUN
hjic-97	109	24	length	length	NOUN
hjic-97	109	25	was	be	AUX
hjic-97	109	26	used	use	VERB
hjic-97	109	27	.	.	PUNCT
hjic-97	110	1	it	it	PRON
hjic-97	110	2	is	be	AUX
hjic-97	110	3	recommended	recommend	VERB
hjic-97	110	4	to	to	PART
hjic-97	110	5	use	use	VERB
hjic-97	110	6	both	both	PRON
hjic-97	110	7	the	the	DET
hjic-97	110	8	errors	error	NOUN
hjic-97	110	9	-	-	PUNCT
hjic-97	110	10	in	in	ADP
hjic-97	110	11	-	-	PUNCT
hjic-97	110	12	variables	variable	NOUN
hjic-97	110	13	and	and	CCONJ
hjic-97	110	14	the	the	DET
hjic-97	110	15	maximum	maximum	ADJ
hjic-97	110	16	likelihood	likelihood	NOUN
hjic-97	110	17	methods	method	NOUN
hjic-97	110	18	to	to	PART
hjic-97	110	19	obtain	obtain	VERB
hjic-97	110	20	the	the	DET
hjic-97	110	21	parameters	parameter	NOUN
hjic-97	110	22	in	in	ADP
hjic-97	110	23	the	the	DET
hjic-97	110	24	weibull	weibull	NOUN
hjic-97	110	25	distribution	distribution	NOUN
hjic-97	110	26	and	and	CCONJ
hjic-97	110	27	then	then	ADV
hjic-97	110	28	to	to	PART
hjic-97	110	29	examine	examine	VERB
hjic-97	110	30	and	and	CCONJ
hjic-97	110	31	evaluate	evaluate	VERB
hjic-97	110	32	the	the	DET
hjic-97	110	33	results	result	NOUN
hjic-97	110	34	.	.	PUNCT
hjic-97	111	1	acknowledgement	acknowledgement	NOUN
hjic-97	111	2	financial	financial	ADJ
hjic-97	111	3	support	support	NOUN
hjic-97	111	4	from	from	ADP
hjic-97	111	5	the	the	DET
hjic-97	111	6	natural	natural	ADJ
hjic-97	111	7	sciences	science	NOUN
hjic-97	111	8	and	and	CCONJ
hjic-97	111	9	engineering	engineering	NOUN
hjic-97	111	10	research	research	NOUN
hjic-97	111	11	council	council	PROPN
hjic-97	111	12	of	of	ADP
hjic-97	111	13	canada	canada	PROPN
hjic-97	111	14	is	be	AUX
hjic-97	111	15	gratefully	gratefully	ADV
hjic-97	111	16	appreciated	appreciate	VERB
hjic-97	111	17	.	.	PUNCT
hjic-97	112	1	symbols	symbol	NOUN
hjic-97	112	2	f	f	PROPN
hjic-97	112	3	weibull	weibull	PROPN
hjic-97	112	4	probability	probability	PROPN
hjic-97	112	5	density	density	NOUN
hjic-97	112	6	function	function	NOUN
hjic-97	112	7	f	f	PROPN
hjic-97	112	8	weibull	weibull	PROPN
hjic-97	112	9	cumulative	cumulative	ADJ
hjic-97	112	10	distribution	distribution	NOUN
hjic-97	112	11	function	function	NOUN
hjic-97	112	12	fs	fs	ADP
hjic-97	112	13	statistically	statistically	ADV
hjic-97	112	14	determined	determine	VERB
hjic-97	112	15	weibull	weibull	PROPN
hjic-97	112	16	cumulative	cumulative	ADJ
hjic-97	112	17	distribution	distribution	NOUN
hjic-97	112	18	function	function	NOUN
hjic-97	112	19	i	i	PRON
hjic-97	112	20	performance	performance	NOUN
hjic-97	112	21	index	index	NOUN
hjic-97	112	22	for	for	ADP
hjic-97	112	23	errors	error	NOUN
hjic-97	112	24	-	-	PUNCT
hjic-97	112	25	in	in	ADP
hjic-97	112	26	-	-	PUNCT
hjic-97	112	27	variables	variable	NOUN
hjic-97	112	28	l	l	NOUN
hjic-97	112	29	likelihood	likelihood	NOUN
hjic-97	112	30	function	function	NOUN
hjic-97	112	31	n	n	DET
hjic-97	112	32	number	number	NOUN
hjic-97	112	33	of	of	ADP
hjic-97	112	34	items	item	NOUN
hjic-97	112	35	tested	test	VERB
hjic-97	112	36	r	r	NOUN
hjic-97	112	37	number	number	NOUN
hjic-97	112	38	of	of	ADP
hjic-97	112	39	random	random	ADJ
hjic-97	112	40	points	point	NOUN
hjic-97	112	41	used	use	VERB
hjic-97	112	42	in	in	ADP
hjic-97	112	43	each	each	DET
hjic-97	112	44	iteration	iteration	NOUN
hjic-97	112	45	s	s	PART
hjic-97	112	46	sum	sum	NOUN
hjic-97	112	47	of	of	ADP
hjic-97	112	48	squares	square	NOUN
hjic-97	112	49	of	of	ADP
hjic-97	112	50	deviations	deviation	NOUN
hjic-97	112	51	of	of	ADP
hjic-97	112	52	cumulative	cumulative	ADJ
hjic-97	112	53	distribution	distribution	NOUN
hjic-97	112	54	functions	function	NOUN
hjic-97	112	55	ti	ti	NOUN
hjic-97	112	56	time	time	NOUN
hjic-97	112	57	for	for	SCONJ
hjic-97	112	58	the	the	DET
hjic-97	112	59	ith	ith	PROPN
hjic-97	112	60	item	item	NOUN
hjic-97	112	61	to	to	PART
hjic-97	112	62	fail	fail	VERB
hjic-97	112	63	α	α	DET
hjic-97	112	64	parameter	parameter	NOUN
hjic-97	112	65	to	to	PART
hjic-97	112	66	be	be	AUX
hjic-97	112	67	determined	determine	VERB
hjic-97	112	68	β	β	NOUN
hjic-97	112	69	parameter	parameter	NOUN
hjic-97	112	70	to	to	PART
hjic-97	112	71	be	be	AUX
hjic-97	112	72	determined	determine	VERB
hjic-97	112	73	γ	γ	PROPN
hjic-97	112	74	region	region	NOUN
hjic-97	112	75	size	size	NOUN
hjic-97	112	76	reduction	reduction	NOUN
hjic-97	112	77	after	after	ADP
hjic-97	112	78	every	every	DET
hjic-97	112	79	iteration	iteration	NOUN
hjic-97	112	80	in	in	ADP
hjic-97	112	81	the	the	DET
hjic-97	112	82	lj	lj	PROPN
hjic-97	112	83	optimization	optimization	NOUN
hjic-97	112	84	procedure	procedure	NOUN
hjic-97	112	85	µ	µ	PRON
hjic-97	112	86	parameter	parameter	NOUN
hjic-97	112	87	to	to	PART
hjic-97	112	88	be	be	AUX
hjic-97	112	89	determined	determine	VERB
hjic-97	112	90	acronyms	acronyms	PROPN
hjic-97	112	91	eiv	eiv	PROPN
hjic-97	112	92	errors	error	NOUN
hjic-97	112	93	-	-	PUNCT
hjic-97	112	94	in	in	ADP
hjic-97	112	95	-	-	PUNCT
hjic-97	112	96	variables	variable	NOUN
hjic-97	112	97	estimation	estimation	NOUN
hjic-97	112	98	lj	lj	PROPN
hjic-97	112	99	luus	luus	PROPN
hjic-97	112	100	-	-	PUNCT
hjic-97	112	101	jaakola	jaakola	PROPN
hjic-97	112	102	optimization	optimization	NOUN
hjic-97	112	103	procedure	procedure	NOUN
hjic-97	112	104	ls	ls	ADJ
hjic-97	112	105	least	least	ADJ
hjic-97	112	106	squares	square	NOUN
hjic-97	112	107	estimation	estimation	NOUN
hjic-97	112	108	ml	ml	ADP
hjic-97	112	109	maximum	maximum	ADJ
hjic-97	112	110	likelihood	likelihood	NOUN
hjic-97	112	111	estimation	estimation	NOUN
hjic-97	112	112	references	reference	NOUN
hjic-97	112	113	1	1	NUM
hjic-97	112	114	.	.	PUNCT
hjic-97	113	1	o’conner	o’conner	X
hjic-97	113	2	p.d.t	p.d.t	NOUN
hjic-97	113	3	.	.	PUNCT
hjic-97	113	4	:	:	PUNCT
hjic-97	114	1	practical	practical	ADJ
hjic-97	114	2	reliability	reliability	NOUN
hjic-97	114	3	engineering	engineering	NOUN
hjic-97	114	4	,	,	PUNCT
hjic-97	114	5	wiley	wiley	PROPN
hjic-97	114	6	,	,	PUNCT
hjic-97	114	7	new	new	PROPN
hjic-97	114	8	york	york	PROPN
hjic-97	114	9	,	,	PUNCT
hjic-97	114	10	1985	1985	NUM
hjic-97	114	11	2	2	NUM
hjic-97	114	12	.	.	PUNCT
hjic-97	115	1	hung	hung	PROPN
hjic-97	115	2	w.l	w.l	PROPN
hjic-97	115	3	.	.	PROPN
hjic-97	115	4	:	:	PUNCT
hjic-97	116	1	quality	quality	NOUN
hjic-97	116	2	and	and	CCONJ
hjic-97	116	3	reliability	reliability	NOUN
hjic-97	116	4	engineering	engineering	NOUN
hjic-97	116	5	international	international	ADJ
hjic-97	116	6	,	,	PUNCT
hjic-97	116	7	2001,17(6),467	2001,17(6),467	PROPN
hjic-97	116	8	-	-	SYM
hjic-97	116	9	469	469	NUM
hjic-97	116	10	3	3	NUM
hjic-97	116	11	.	.	PUNCT
hjic-97	117	1	luus	luus	PROPN
hjic-97	117	2	r.	r.	PROPN
hjic-97	117	3	and	and	CCONJ
hjic-97	117	4	hernaez	hernaez	PROPN
hjic-97	117	5	h.	h.	PROPN
hjic-97	117	6	:	:	PUNCT
hjic-97	117	7	hungarian	hungarian	PROPN
hjic-97	117	8	j.	j.	PROPN
hjic-97	117	9	industrial	industrial	PROPN
hjic-97	117	10	chemistry	chemistry	PROPN
hjic-97	117	11	,	,	PUNCT
hjic-97	117	12	2000	2000	NUM
hjic-97	117	13	,	,	PUNCT
hjic-97	117	14	28(3	28(3	NUM
hjic-97	117	15	)	)	PUNCT
hjic-97	117	16	,	,	PUNCT
hjic-97	117	17	201	201	NUM
hjic-97	117	18	-	-	SYM
hjic-97	117	19	206	206	NUM
hjic-97	117	20	4	4	NUM
hjic-97	117	21	.	.	PUNCT
hjic-97	118	1	luus	luus	PROPN
hjic-97	118	2	r.	r.	PROPN
hjic-97	118	3	and	and	CCONJ
hjic-97	118	4	jaakola	jaakola	PROPN
hjic-97	118	5	t.h.i	t.h.i	PROPN
hjic-97	118	6	.	.	PUNCT
hjic-97	118	7	:	:	PUNCT
hjic-97	118	8	aiche	aiche	PROPN
hjic-97	118	9	j.	j.	PROPN
hjic-97	118	10	,	,	PUNCT
hjic-97	118	11	1973	1973	NUM
hjic-97	118	12	,	,	PUNCT
hjic-97	118	13	19(4	19(4	NUM
hjic-97	118	14	)	)	PUNCT
hjic-97	118	15	,	,	PUNCT
hjic-97	118	16	760	760	NUM
hjic-97	118	17	-	-	SYM
hjic-97	118	18	766	766	NUM
hjic-97	118	19	.	.	NOUN
hjic-97	118	20	5	5	NUM
hjic-97	118	21	.	.	X
hjic-97	118	22	luus	luus	PROPN
hjic-97	118	23	r.	r.	PROPN
hjic-97	118	24	:	:	PUNCT
hjic-97	118	25	recent	recent	ADJ
hjic-97	118	26	research	research	NOUN
hjic-97	118	27	developments	development	NOUN
hjic-97	118	28	in	in	ADP
hjic-97	118	29	chemical	chemical	ADJ
hjic-97	118	30	engineering	engineering	NOUN
hjic-97	118	31	,	,	PUNCT
hjic-97	118	32	2000	2000	NUM
hjic-97	118	33	,	,	PUNCT
hjic-97	118	34	4	4	NUM
hjic-97	118	35	,	,	PUNCT
hjic-97	118	36	45	45	NUM
hjic-97	118	37	-	-	SYM
hjic-97	118	38	64	64	NUM
hjic-97	118	39	.	.	PUNCT
hjic-97	119	1	6	6	NUM
hjic-97	119	2	.	.	X
hjic-97	119	3	luus	luus	PROPN
hjic-97	119	4	r.	r.	PROPN
hjic-97	119	5	:	:	PUNCT
hjic-97	119	6	iterative	iterative	ADJ
hjic-97	119	7	dynamic	dynamic	ADJ
hjic-97	119	8	programming	programming	NOUN
hjic-97	119	9	,	,	PUNCT
hjic-97	119	10	chapman	chapman	PROPN
hjic-97	119	11	&	&	CCONJ
hjic-97	119	12	hall	hall	PROPN
hjic-97	119	13	/	/	SYM
hjic-97	119	14	crc	crc	PROPN
hjic-97	119	15	,	,	PUNCT
hjic-97	119	16	london	london	PROPN
hjic-97	119	17	,	,	PUNCT
hjic-97	119	18	uk	uk	PROPN
hjic-97	119	19	,	,	PUNCT
hjic-97	119	20	2000	2000	NUM
hjic-97	119	21	7	7	NUM
hjic-97	119	22	.	.	PUNCT
hjic-97	119	23	luus	luus	PROPN
hjic-97	119	24	r.	r.	PROPN
hjic-97	119	25	:	:	PUNCT
hjic-97	119	26	direct	direct	ADJ
hjic-97	119	27	search	search	NOUN
hjic-97	119	28	luus	luus	PROPN
hjic-97	119	29	-	-	PUNCT
hjic-97	119	30	jaakola	jaakola	PROPN
hjic-97	119	31	optimization	optimization	NOUN
hjic-97	119	32	procedure	procedure	NOUN
hjic-97	119	33	,	,	PUNCT
hjic-97	119	34	lj	lj	PROPN
hjic-97	119	35	optimization	optimization	NOUN
hjic-97	119	36	procedure	procedure	NOUN
hjic-97	119	37	,	,	PUNCT
hjic-97	119	38	in	in	ADP
hjic-97	119	39	floudas	floudas	PROPN
hjic-97	119	40	c.a	c.a	PROPN
hjic-97	119	41	.	.	PROPN
hjic-97	119	42	and	and	CCONJ
hjic-97	119	43	pardalos	pardalo	NOUN
hjic-97	119	44	p.m.	p.m.	PROPN
hjic-97	119	45	(	(	PUNCT
hjic-97	119	46	eds	ed	NOUN
hjic-97	119	47	.	.	PUNCT
hjic-97	119	48	)	)	PUNCT
hjic-97	119	49	,	,	PUNCT
hjic-97	119	50	encyclopedia	encyclopedia	NOUN
hjic-97	119	51	of	of	ADP
hjic-97	119	52	optimization	optimization	NOUN
hjic-97	119	53	,	,	PUNCT
hjic-97	119	54	kluwer	kluwer	PROPN
hjic-97	119	55	,	,	PUNCT
hjic-97	119	56	dordrecht	dordrecht	PROPN
hjic-97	119	57	,	,	PUNCT
hjic-97	119	58	the	the	DET
hjic-97	119	59	netherlands	netherlands	PROPN
hjic-97	119	60	,	,	PUNCT
hjic-97	119	61	2001	2001	NUM
hjic-97	119	62	,	,	PUNCT
hjic-97	119	63	vol	vol	NOUN
hjic-97	119	64	.	.	PROPN
hjic-97	119	65	1	1	NUM
hjic-97	119	66	,	,	PUNCT
hjic-97	119	67	440	440	NUM
hjic-97	119	68	-	-	SYM
hjic-97	119	69	444	444	NUM
hjic-97	119	70	8	8	NUM
hjic-97	119	71	.	.	PUNCT
hjic-97	119	72	liao	liao	PROPN
hjic-97	119	73	b.	b.	PROPN
hjic-97	119	74	and	and	CCONJ
hjic-97	119	75	luus	luus	PROPN
hjic-97	119	76	r.	r.	PROPN
hjic-97	119	77	:	:	PUNCT
hjic-97	119	78	engineering	engineer	VERB
hjic-97	119	79	optimization	optimization	NOUN
hjic-97	119	80	,	,	PUNCT
hjic-97	119	81	2005	2005	NUM
hjic-97	119	82	,	,	PUNCT
hjic-97	119	83	37(4	37(4	PROPN
hjic-97	119	84	)	)	PUNCT
hjic-97	119	85	,	,	PUNCT
hjic-97	119	86	381	381	NUM
hjic-97	119	87	-	-	SYM
hjic-97	119	88	398	398	NUM
hjic-97	119	89	9	9	NUM
hjic-97	119	90	.	.	PUNCT
hjic-97	120	1	luus	luus	PROPN
hjic-97	120	2	r.	r.	PROPN
hjic-97	120	3	:	:	PUNCT
hjic-97	120	4	hungarian	hungarian	PROPN
hjic-97	120	5	j.	j.	PROPN
hjic-97	120	6	industrial	industrial	PROPN
hjic-97	120	7	chemistry	chemistry	PROPN
hjic-97	120	8	,	,	PUNCT
hjic-97	120	9	2000	2000	NUM
hjic-97	120	10	,	,	PUNCT
hjic-97	120	11	28(3	28(3	NUM
hjic-97	120	12	)	)	PUNCT
hjic-97	120	13	,	,	PUNCT
hjic-97	120	14	217	217	NUM
hjic-97	120	15	-	-	SYM
hjic-97	120	16	223	223	NUM
hjic-97	120	17	10	10	NUM
hjic-97	120	18	.	.	PUNCT
hjic-97	121	1	walpole	walpole	PROPN
hjic-97	121	2	r.e	r.e	PROPN
hjic-97	121	3	.	.	PROPN
hjic-97	121	4	and	and	CCONJ
hjic-97	121	5	myers	myers	PROPN
hjic-97	121	6	r.h	r.h	PROPN
hjic-97	121	7	.	.	PROPN
hjic-97	121	8	:	:	PUNCT
hjic-97	121	9	probability	probability	NOUN
hjic-97	121	10	and	and	CCONJ
hjic-97	121	11	statistics	statistic	NOUN
hjic-97	121	12	for	for	ADP
hjic-97	121	13	engineers	engineer	NOUN
hjic-97	121	14	and	and	CCONJ
hjic-97	121	15	scientists	scientist	NOUN
hjic-97	121	16	,	,	PUNCT
hjic-97	121	17	macmillan	macmillan	PROPN
hjic-97	121	18	,	,	PUNCT
hjic-97	121	19	new	new	PROPN
hjic-97	121	20	york	york	PROPN
hjic-97	121	21	,	,	PUNCT
hjic-97	121	22	1993	1993	NUM
hjic-97	121	23	11	11	NUM
hjic-97	121	24	.	.	PUNCT
hjic-97	122	1	cox	cox	PROPN
hjic-97	122	2	d.r	d.r	PROPN
hjic-97	122	3	.	.	PROPN
hjic-97	122	4	and	and	CCONJ
hjic-97	122	5	oakes	oakes	PROPN
hjic-97	122	6	d.	d.	PROPN
hjic-97	122	7	:	:	PUNCT
hjic-97	122	8	analysis	analysis	NOUN
hjic-97	122	9	of	of	ADP
hjic-97	122	10	survival	survival	NOUN
hjic-97	122	11	data	data	PROPN
hjic-97	122	12	,	,	PUNCT
hjic-97	122	13	chapman	chapman	NOUN
hjic-97	122	14	and	and	CCONJ
hjic-97	122	15	hall	hall	PROPN
hjic-97	122	16	,	,	PUNCT
hjic-97	122	17	london	london	PROPN
hjic-97	122	18	,	,	PUNCT
hjic-97	122	19	uk	uk	PROPN
hjic-97	122	20	,	,	PUNCT
hjic-97	122	21	1984	1984	NUM
hjic-97	122	22	12	12	NUM
hjic-97	122	23	.	.	PUNCT
hjic-97	123	1	lockhart	lockhart	PROPN
hjic-97	123	2	r.a	r.a	PROPN
hjic-97	123	3	.	.	PROPN
hjic-97	124	1	and	and	CCONJ
hjic-97	124	2	stephens	stephens	PROPN
hjic-97	124	3	m.a	m.a	PROPN
hjic-97	124	4	.	.	PROPN
hjic-97	124	5	:	:	PUNCT
hjic-97	125	1	j.	j.	PROPN
hjic-97	125	2	royal	royal	PROPN
hjic-97	125	3	statistical	statistical	ADJ
hjic-97	125	4	society	society	NOUN
hjic-97	125	5	,	,	PUNCT
hjic-97	125	6	series	series	NOUN
hjic-97	125	7	b	b	PROPN
hjic-97	125	8	,	,	PUNCT
hjic-97	125	9	1994	1994	NUM
hjic-97	125	10	,	,	PUNCT
hjic-97	125	11	56(3	56(3	NUM
hjic-97	125	12	)	)	PUNCT
hjic-97	125	13	,	,	PUNCT
hjic-97	125	14	491	491	NUM
hjic-97	125	15	-	-	SYM
hjic-97	125	16	500	500	NUM
hjic-97	125	17	.	.	PUNCT