id	sid	tid	token	lemma	pos
cet-9886	1	1	microsoft	microsoft	PROPN
cet-9886	1	2	word	word	NOUN
cet-9886	1	3	425simasatitkul.doc	425simasatitkul.doc	NUM
cet-9886	1	4	chemical	chemical	NOUN
cet-9886	1	5	engineering	engineering	NOUN
cet-9886	1	6	transactions	transaction	NOUN
cet-9886	1	7	vol	vol	NOUN
cet-9886	1	8	.	.	PROPN
cet-9886	2	1	74	74	NUM
cet-9886	2	2	,	,	PUNCT
cet-9886	2	3	2019	2019	NUM
cet-9886	2	4	a	a	DET
cet-9886	2	5	publication	publication	NOUN
cet-9886	2	6	of	of	ADP
cet-9886	2	7	the	the	DET
cet-9886	2	8	italian	italian	ADJ
cet-9886	2	9	association	association	NOUN
cet-9886	2	10	of	of	ADP
cet-9886	2	11	chemical	chemical	PROPN
cet-9886	2	12	engineering	engineering	NOUN
cet-9886	2	13	online	online	ADV
cet-9886	2	14	at	at	ADP
cet-9886	2	15	www.cetjournal.it	www.cetjournal.it	PROPN
cet-9886	2	16	guest	guest	NOUN
cet-9886	2	17	editors	editor	NOUN
cet-9886	2	18	:	:	PUNCT
cet-9886	2	19	sauro	sauro	PROPN
cet-9886	2	20	pierucci	pierucci	PROPN
cet-9886	2	21	,	,	PUNCT
cet-9886	2	22	jiří	jiří	NOUN
cet-9886	2	23	jaromír	jaromír	PROPN
cet-9886	2	24	klemeš	klemeš	PROPN
cet-9886	2	25	,	,	PUNCT
cet-9886	2	26	laura	laura	NOUN
cet-9886	2	27	piazza	piazza	VERB
cet-9886	2	28	copyright	copyright	NOUN
cet-9886	2	29	©	©	PROPN
cet-9886	2	30	2019	2019	NUM
cet-9886	2	31	,	,	PUNCT
cet-9886	2	32	aidic	aidic	ADJ
cet-9886	2	33	servizi	servizi	PROPN
cet-9886	2	34	s.r.l	s.r.l	PROPN
cet-9886	2	35	.	.	PUNCT
cet-9886	3	1	isbn	isbn	ADJ
cet-9886	3	2	978	978	NUM
cet-9886	3	3	-	-	SYM
cet-9886	3	4	88	88	NUM
cet-9886	3	5	-	-	PUNCT
cet-9886	3	6	95608	95608	NUM
cet-9886	3	7	-	-	PUNCT
cet-9886	3	8	71	71	NUM
cet-9886	3	9	-	-	SYM
cet-9886	3	10	6	6	NUM
cet-9886	3	11	;	;	PUNCT
cet-9886	3	12	issn	issn	PROPN
cet-9886	3	13	2283	2283	NUM
cet-9886	3	14	-	-	SYM
cet-9886	3	15	9216	9216	NUM
cet-9886	3	16	dynamic	dynamic	ADJ
cet-9886	3	17	system	system	NOUN
cet-9886	3	18	state	state	NOUN
cet-9886	3	19	estimation	estimation	NOUN
cet-9886	3	20	and	and	CCONJ
cet-9886	3	21	outlier	outlier	NOUN
cet-9886	3	22	detection	detection	NOUN
cet-9886	3	23	using	use	VERB
cet-9886	3	24	robust	robust	ADJ
cet-9886	3	25	data	datum	NOUN
cet-9886	3	26	reconciliation	reconciliation	NOUN
cet-9886	3	27	claudia	claudia	PROPN
cet-9886	3	28	e.	e.	PROPN
cet-9886	3	29	llanosa	llanosa	PROPN
cet-9886	3	30	,	,	PUNCT
cet-9886	3	31	mabel	mabel	PROPN
cet-9886	3	32	c.	c.	PROPN
cet-9886	3	33	sanchéza	sanchéza	PROPN
cet-9886	3	34	,	,	PUNCT
cet-9886	3	35	*	*	PROPN
cet-9886	3	36	,	,	PUNCT
cet-9886	3	37	ricardo	ricardo	PROPN
cet-9886	3	38	a.	a.	PROPN
cet-9886	3	39	maronnab	maronnab	PROPN
cet-9886	3	40	aplanta	aplanta	PROPN
cet-9886	3	41	piloto	piloto	PROPN
cet-9886	3	42	de	de	X
cet-9886	3	43	ing	ing	PROPN
cet-9886	3	44	.	.	PUNCT
cet-9886	4	1	química	química	PROPN
cet-9886	4	2	-	-	PUNCT
cet-9886	4	3	plapiqui(uns	plapiqui(uns	NOUN
cet-9886	4	4	-	-	PUNCT
cet-9886	4	5	conicet	conicet	NOUN
cet-9886	4	6	)	)	PUNCT
cet-9886	4	7	,	,	PUNCT
cet-9886	4	8	8000	8000	NUM
cet-9886	4	9	bahía	bahía	PROPN
cet-9886	4	10	blanca	blanca	PROPN
cet-9886	4	11	,	,	PUNCT
cet-9886	4	12	argentina	argentina	PROPN
cet-9886	4	13	bdto	bdto	PROPN
cet-9886	4	14	.	.	PUNCT
cet-9886	5	1	de	de	PROPN
cet-9886	5	2	matemática	matemática	PROPN
cet-9886	5	3	,	,	PUNCT
cet-9886	5	4	univ	univ	PROPN
cet-9886	5	5	.	.	PUNCT
cet-9886	6	1	nac	nac	PROPN
cet-9886	6	2	.	.	PROPN
cet-9886	6	3	de	de	PROPN
cet-9886	6	4	la	la	PROPN
cet-9886	6	5	plata	plata	PROPN
cet-9886	6	6	,	,	PUNCT
cet-9886	6	7	1900	1900	NUM
cet-9886	6	8	la	la	PROPN
cet-9886	6	9	plata	plata	PROPN
cet-9886	6	10	,	,	PUNCT
cet-9886	6	11	argentina	argentina	PROPN
cet-9886	6	12	msanchez@plapiqui.edu.ar	msanchez@plapiqui.edu.ar	PROPN
cet-9886	6	13	state	state	NOUN
cet-9886	6	14	estimation	estimation	NOUN
cet-9886	6	15	and	and	CCONJ
cet-9886	6	16	detection	detection	NOUN
cet-9886	6	17	of	of	ADP
cet-9886	6	18	measurement	measurement	NOUN
cet-9886	6	19	systematic	systematic	ADJ
cet-9886	6	20	errors	error	NOUN
cet-9886	6	21	are	be	AUX
cet-9886	6	22	critical	critical	ADJ
cet-9886	6	23	components	component	NOUN
cet-9886	6	24	of	of	ADP
cet-9886	6	25	plant	plant	NOUN
cet-9886	6	26	monitoring	monitoring	NOUN
cet-9886	6	27	and	and	CCONJ
cet-9886	6	28	control	control	NOUN
cet-9886	6	29	procedures	procedure	NOUN
cet-9886	6	30	.	.	PUNCT
cet-9886	7	1	reliable	reliable	ADJ
cet-9886	7	2	estimations	estimation	NOUN
cet-9886	7	3	of	of	ADP
cet-9886	7	4	the	the	DET
cet-9886	7	5	process	process	NOUN
cet-9886	7	6	variables	variable	NOUN
cet-9886	7	7	are	be	AUX
cet-9886	7	8	attained	attain	VERB
cet-9886	7	9	by	by	ADP
cet-9886	7	10	classic	classic	ADJ
cet-9886	7	11	dynamic	dynamic	ADJ
cet-9886	7	12	data	datum	NOUN
cet-9886	7	13	reconciliation	reconciliation	NOUN
cet-9886	7	14	procedures	procedure	NOUN
cet-9886	7	15	when	when	SCONJ
cet-9886	7	16	measurements	measurement	NOUN
cet-9886	7	17	follow	follow	VERB
cet-9886	7	18	exactly	exactly	ADV
cet-9886	7	19	a	a	DET
cet-9886	7	20	known	know	VERB
cet-9886	7	21	distribution	distribution	NOUN
cet-9886	7	22	.	.	PUNCT
cet-9886	8	1	however	however	ADV
cet-9886	8	2	,	,	PUNCT
cet-9886	8	3	if	if	SCONJ
cet-9886	8	4	this	this	DET
cet-9886	8	5	assumption	assumption	NOUN
cet-9886	8	6	happens	happen	VERB
cet-9886	8	7	approximately	approximately	ADV
cet-9886	8	8	due	due	ADJ
cet-9886	8	9	to	to	ADP
cet-9886	8	10	the	the	DET
cet-9886	8	11	presence	presence	NOUN
cet-9886	8	12	of	of	ADP
cet-9886	8	13	systematic	systematic	ADJ
cet-9886	8	14	errors	error	NOUN
cet-9886	8	15	,	,	PUNCT
cet-9886	8	16	as	as	SCONJ
cet-9886	8	17	outliers	outlier	NOUN
cet-9886	8	18	,	,	PUNCT
cet-9886	8	19	classic	classic	ADJ
cet-9886	8	20	dynamic	dynamic	ADJ
cet-9886	8	21	data	datum	NOUN
cet-9886	8	22	reconciliation	reconciliation	NOUN
cet-9886	8	23	provides	provide	VERB
cet-9886	8	24	biased	biased	ADJ
cet-9886	8	25	results	result	NOUN
cet-9886	8	26	.	.	PUNCT
cet-9886	9	1	in	in	ADP
cet-9886	9	2	this	this	DET
cet-9886	9	3	work	work	NOUN
cet-9886	9	4	,	,	PUNCT
cet-9886	9	5	a	a	DET
cet-9886	9	6	two	two	NUM
cet-9886	9	7	-	-	PUNCT
cet-9886	9	8	step	step	NOUN
cet-9886	9	9	methodology	methodology	NOUN
cet-9886	9	10	of	of	ADP
cet-9886	9	11	robust	robust	ADJ
cet-9886	9	12	dynamic	dynamic	ADJ
cet-9886	9	13	data	datum	NOUN
cet-9886	9	14	reconciliation	reconciliation	NOUN
cet-9886	9	15	and	and	CCONJ
cet-9886	9	16	systematic	systematic	ADJ
cet-9886	9	17	error	error	NOUN
cet-9886	9	18	detection	detection	NOUN
cet-9886	9	19	is	be	AUX
cet-9886	9	20	proposed	propose	VERB
cet-9886	9	21	.	.	PUNCT
cet-9886	10	1	it	it	PRON
cet-9886	10	2	takes	take	VERB
cet-9886	10	3	advantages	advantage	NOUN
cet-9886	10	4	of	of	ADP
cet-9886	10	5	a	a	DET
cet-9886	10	6	moving	move	VERB
cet-9886	10	7	measurement	measurement	NOUN
cet-9886	10	8	window	window	NOUN
cet-9886	10	9	of	of	ADP
cet-9886	10	10	fixed	fix	VERB
cet-9886	10	11	dimension	dimension	NOUN
cet-9886	10	12	and	and	CCONJ
cet-9886	10	13	the	the	DET
cet-9886	10	14	features	feature	NOUN
cet-9886	10	15	of	of	ADP
cet-9886	10	16	the	the	DET
cet-9886	10	17	m	m	NOUN
cet-9886	10	18	-	-	NOUN
cet-9886	10	19	estimators	estimator	NOUN
cet-9886	10	20	.	.	PUNCT
cet-9886	11	1	furthermore	furthermore	ADV
cet-9886	11	2	,	,	PUNCT
cet-9886	11	3	the	the	DET
cet-9886	11	4	presence	presence	NOUN
cet-9886	11	5	of	of	ADP
cet-9886	11	6	outliers	outlier	NOUN
cet-9886	11	7	is	be	AUX
cet-9886	11	8	detected	detect	VERB
cet-9886	11	9	using	use	VERB
cet-9886	11	10	a	a	DET
cet-9886	11	11	robust	robust	ADJ
cet-9886	11	12	measurement	measurement	NOUN
cet-9886	11	13	test	test	NOUN
cet-9886	11	14	.	.	PUNCT
cet-9886	12	1	two	two	NUM
cet-9886	12	2	case	case	NOUN
cet-9886	12	3	studies	study	NOUN
cet-9886	12	4	are	be	AUX
cet-9886	12	5	proposed	propose	VERB
cet-9886	12	6	,	,	PUNCT
cet-9886	12	7	which	which	PRON
cet-9886	12	8	work	work	VERB
cet-9886	12	9	with	with	ADP
cet-9886	12	10	the	the	DET
cet-9886	12	11	huber	huber	PROPN
cet-9886	12	12	and	and	CCONJ
cet-9886	12	13	biweigth	biweigth	NOUN
cet-9886	12	14	m	m	NOUN
cet-9886	12	15	-	-	NOUN
cet-9886	12	16	estimators	estimator	NOUN
cet-9886	12	17	.	.	PUNCT
cet-9886	13	1	a	a	DET
cet-9886	13	2	nonlinear	nonlinear	ADJ
cet-9886	13	3	benchmark	benchmark	NOUN
cet-9886	13	4	extracted	extract	VERB
cet-9886	13	5	from	from	ADP
cet-9886	13	6	the	the	DET
cet-9886	13	7	literature	literature	NOUN
cet-9886	13	8	is	be	AUX
cet-9886	13	9	considered	consider	VERB
cet-9886	13	10	,	,	PUNCT
cet-9886	13	11	and	and	CCONJ
cet-9886	13	12	performance	performance	NOUN
cet-9886	13	13	measures	measure	NOUN
cet-9886	13	14	are	be	AUX
cet-9886	13	15	reported	report	VERB
cet-9886	13	16	.	.	PUNCT
cet-9886	14	1	the	the	DET
cet-9886	14	2	results	result	NOUN
cet-9886	14	3	obtained	obtain	VERB
cet-9886	14	4	demonstrate	demonstrate	VERB
cet-9886	14	5	the	the	DET
cet-9886	14	6	effectiveness	effectiveness	NOUN
cet-9886	14	7	of	of	ADP
cet-9886	14	8	the	the	DET
cet-9886	14	9	proposed	propose	VERB
cet-9886	14	10	methodology	methodology	NOUN
cet-9886	14	11	.	.	PUNCT
cet-9886	15	1	1	1	X
cet-9886	15	2	.	.	X
cet-9886	15	3	introduction	introduction	NOUN
cet-9886	15	4	the	the	DET
cet-9886	15	5	advances	advance	NOUN
cet-9886	15	6	in	in	ADP
cet-9886	15	7	measurement	measurement	NOUN
cet-9886	15	8	technology	technology	NOUN
cet-9886	15	9	and	and	CCONJ
cet-9886	15	10	computer	computer	NOUN
cet-9886	15	11	data	datum	NOUN
cet-9886	15	12	storage	storage	NOUN
cet-9886	15	13	have	have	AUX
cet-9886	15	14	allowed	allow	VERB
cet-9886	15	15	obtaining	obtain	VERB
cet-9886	15	16	relevant	relevant	ADJ
cet-9886	15	17	information	information	NOUN
cet-9886	15	18	about	about	ADP
cet-9886	15	19	the	the	DET
cet-9886	15	20	process	process	NOUN
cet-9886	15	21	state	state	NOUN
cet-9886	15	22	.	.	PUNCT
cet-9886	16	1	with	with	ADP
cet-9886	16	2	this	this	DET
cet-9886	16	3	aim	aim	NOUN
cet-9886	16	4	different	different	ADJ
cet-9886	16	5	methodologies	methodology	NOUN
cet-9886	16	6	have	have	AUX
cet-9886	16	7	been	be	AUX
cet-9886	16	8	proposed	propose	VERB
cet-9886	16	9	,	,	PUNCT
cet-9886	16	10	as	as	ADP
cet-9886	16	11	the	the	DET
cet-9886	16	12	wellknown	wellknown	ADJ
cet-9886	16	13	classic	classic	ADJ
cet-9886	16	14	data	datum	NOUN
cet-9886	16	15	reconciliation	reconciliation	NOUN
cet-9886	16	16	(	(	PUNCT
cet-9886	16	17	cdr	cdr	NOUN
cet-9886	16	18	)	)	PUNCT
cet-9886	16	19	.	.	PUNCT
cet-9886	17	1	this	this	DET
cet-9886	17	2	procedure	procedure	NOUN
cet-9886	17	3	minimizes	minimize	VERB
cet-9886	17	4	the	the	DET
cet-9886	17	5	discrepancy	discrepancy	NOUN
cet-9886	17	6	between	between	ADP
cet-9886	17	7	measurements	measurement	NOUN
cet-9886	17	8	and	and	CCONJ
cet-9886	17	9	the	the	DET
cet-9886	17	10	process	process	NOUN
cet-9886	17	11	model	model	NOUN
cet-9886	17	12	taking	take	VERB
cet-9886	17	13	advantage	advantage	NOUN
cet-9886	17	14	of	of	ADP
cet-9886	17	15	the	the	DET
cet-9886	17	16	spatial	spatial	ADJ
cet-9886	17	17	redundancy	redundancy	NOUN
cet-9886	17	18	provided	provide	VERB
cet-9886	17	19	by	by	ADP
cet-9886	17	20	the	the	DET
cet-9886	17	21	model	model	NOUN
cet-9886	17	22	and	and	CCONJ
cet-9886	17	23	the	the	DET
cet-9886	17	24	set	set	NOUN
cet-9886	17	25	of	of	ADP
cet-9886	17	26	installed	instal	VERB
cet-9886	17	27	instruments	instrument	NOUN
cet-9886	17	28	(	(	PUNCT
cet-9886	17	29	romagnoli	romagnoli	NOUN
cet-9886	17	30	and	and	CCONJ
cet-9886	17	31	sánchez	sánchez	NOUN
cet-9886	17	32	,	,	PUNCT
cet-9886	17	33	2000	2000	NUM
cet-9886	17	34	)	)	PUNCT
cet-9886	17	35	.	.	PUNCT
cet-9886	18	1	different	different	ADJ
cet-9886	18	2	process	process	NOUN
cet-9886	18	3	models	model	NOUN
cet-9886	18	4	have	have	AUX
cet-9886	18	5	been	be	AUX
cet-9886	18	6	treated	treat	VERB
cet-9886	18	7	with	with	ADP
cet-9886	18	8	data	datum	NOUN
cet-9886	18	9	reconciliation	reconciliation	NOUN
cet-9886	18	10	,	,	PUNCT
cet-9886	18	11	this	this	PRON
cet-9886	18	12	demonstrates	demonstrate	VERB
cet-9886	18	13	the	the	DET
cet-9886	18	14	reliability	reliability	NOUN
cet-9886	18	15	of	of	ADP
cet-9886	18	16	the	the	DET
cet-9886	18	17	strategy	strategy	NOUN
cet-9886	18	18	(	(	PUNCT
cet-9886	18	19	eghbal	eghbal	PROPN
cet-9886	18	20	ahmadi	ahmadi	PROPN
cet-9886	18	21	and	and	CCONJ
cet-9886	18	22	rad	rad	PROPN
cet-9886	18	23	,	,	PUNCT
cet-9886	18	24	2017	2017	NUM
cet-9886	18	25	;	;	PUNCT
cet-9886	18	26	yong	yong	PROPN
cet-9886	18	27	et	et	PROPN
cet-9886	18	28	al	al	PROPN
cet-9886	18	29	.	.	PROPN
cet-9886	18	30	,	,	PUNCT
cet-9886	18	31	2018	2018	NUM
cet-9886	18	32	)	)	PUNCT
cet-9886	18	33	.	.	PUNCT
cet-9886	19	1	classic	classic	ADJ
cet-9886	19	2	data	datum	NOUN
cet-9886	19	3	reconciliation	reconciliation	NOUN
cet-9886	19	4	typically	typically	ADV
cet-9886	19	5	assumes	assume	VERB
cet-9886	19	6	that	that	SCONJ
cet-9886	19	7	measurement	measurement	NOUN
cet-9886	19	8	errors	error	NOUN
cet-9886	19	9	follow	follow	VERB
cet-9886	19	10	the	the	DET
cet-9886	19	11	normal	normal	ADJ
cet-9886	19	12	distribution	distribution	NOUN
cet-9886	19	13	.	.	PUNCT
cet-9886	20	1	in	in	ADP
cet-9886	20	2	this	this	DET
cet-9886	20	3	case	case	NOUN
cet-9886	20	4	,	,	PUNCT
cet-9886	20	5	the	the	DET
cet-9886	20	6	objective	objective	ADJ
cet-9886	20	7	function	function	NOUN
cet-9886	20	8	(	(	PUNCT
cet-9886	20	9	of	of	ADP
cet-9886	20	10	)	)	PUNCT
cet-9886	20	11	of	of	ADP
cet-9886	20	12	the	the	DET
cet-9886	20	13	optimization	optimization	NOUN
cet-9886	20	14	problem	problem	NOUN
cet-9886	20	15	is	be	AUX
cet-9886	20	16	the	the	DET
cet-9886	20	17	least	least	ADJ
cet-9886	20	18	square	square	ADJ
cet-9886	20	19	estimator	estimator	NOUN
cet-9886	20	20	(	(	PUNCT
cet-9886	20	21	ls	ls	PROPN
cet-9886	20	22	)	)	PUNCT
cet-9886	20	23	,	,	PUNCT
cet-9886	20	24	which	which	PRON
cet-9886	20	25	provides	provide	VERB
cet-9886	20	26	unbiased	unbiased	ADJ
cet-9886	20	27	estimates	estimate	NOUN
cet-9886	20	28	.	.	PUNCT
cet-9886	21	1	the	the	DET
cet-9886	21	2	aforementioned	aforementioned	ADJ
cet-9886	21	3	assumption	assumption	NOUN
cet-9886	21	4	holds	hold	VERB
cet-9886	21	5	approximately	approximately	ADV
cet-9886	21	6	due	due	ADJ
cet-9886	21	7	to	to	ADP
cet-9886	21	8	the	the	DET
cet-9886	21	9	presence	presence	NOUN
cet-9886	21	10	of	of	ADP
cet-9886	21	11	outliers	outlier	NOUN
cet-9886	21	12	,	,	PUNCT
cet-9886	21	13	which	which	PRON
cet-9886	21	14	are	be	AUX
cet-9886	21	15	atypical	atypical	ADJ
cet-9886	21	16	observations	observation	NOUN
cet-9886	21	17	that	that	PRON
cet-9886	21	18	adversely	adversely	ADV
cet-9886	21	19	influence	influence	NOUN
cet-9886	21	20	on	on	ADP
cet-9886	21	21	the	the	DET
cet-9886	21	22	accuracy	accuracy	NOUN
cet-9886	21	23	of	of	ADP
cet-9886	21	24	the	the	DET
cet-9886	21	25	attained	attain	VERB
cet-9886	21	26	estimates	estimate	NOUN
cet-9886	21	27	.	.	PUNCT
cet-9886	22	1	to	to	PART
cet-9886	22	2	overcome	overcome	VERB
cet-9886	22	3	the	the	DET
cet-9886	22	4	problem	problem	NOUN
cet-9886	22	5	,	,	PUNCT
cet-9886	22	6	tjoa	tjoa	PRON
cet-9886	22	7	and	and	CCONJ
cet-9886	22	8	biegler	biegler	ADJ
cet-9886	22	9	(	(	PUNCT
cet-9886	22	10	1991	1991	NUM
cet-9886	22	11	)	)	PUNCT
cet-9886	22	12	proposed	propose	VERB
cet-9886	22	13	the	the	DET
cet-9886	22	14	robust	robust	ADJ
cet-9886	22	15	data	datum	NOUN
cet-9886	22	16	reconciliation	reconciliation	NOUN
cet-9886	22	17	(	(	PUNCT
cet-9886	22	18	rdr	rdr	NOUN
cet-9886	22	19	)	)	PUNCT
cet-9886	22	20	.	.	PUNCT
cet-9886	23	1	in	in	ADP
cet-9886	23	2	this	this	DET
cet-9886	23	3	case	case	NOUN
cet-9886	23	4	,	,	PUNCT
cet-9886	23	5	m	m	NOUN
cet-9886	23	6	-	-	NOUN
cet-9886	23	7	estimators	estimator	NOUN
cet-9886	23	8	are	be	AUX
cet-9886	23	9	used	use	VERB
cet-9886	23	10	as	as	ADP
cet-9886	23	11	of	of	ADP
cet-9886	23	12	of	of	ADP
cet-9886	23	13	the	the	DET
cet-9886	23	14	estimation	estimation	NOUN
cet-9886	23	15	problem	problem	NOUN
cet-9886	23	16	because	because	SCONJ
cet-9886	23	17	they	they	PRON
cet-9886	23	18	down	down	AUX
cet-9886	23	19	weight	weight	NOUN
cet-9886	23	20	the	the	DET
cet-9886	23	21	effect	effect	NOUN
cet-9886	23	22	of	of	ADP
cet-9886	23	23	measurements	measurement	NOUN
cet-9886	23	24	with	with	ADP
cet-9886	23	25	high	high	ADJ
cet-9886	23	26	standard	standard	ADJ
cet-9886	23	27	error	error	NOUN
cet-9886	23	28	(	(	PUNCT
cet-9886	23	29	maronna	maronna	NOUN
cet-9886	23	30	et	et	PROPN
cet-9886	23	31	al	al	PROPN
cet-9886	23	32	.	.	PROPN
cet-9886	23	33	,	,	PUNCT
cet-9886	23	34	2006	2006	NUM
cet-9886	23	35	)	)	PUNCT
cet-9886	23	36	.	.	PUNCT
cet-9886	24	1	many	many	ADJ
cet-9886	24	2	authors	author	NOUN
cet-9886	24	3	have	have	AUX
cet-9886	24	4	demonstrated	demonstrate	VERB
cet-9886	24	5	the	the	DET
cet-9886	24	6	improvement	improvement	NOUN
cet-9886	24	7	achieved	achieve	VERB
cet-9886	24	8	applying	apply	VERB
cet-9886	24	9	rdr	rdr	NOUN
cet-9886	24	10	for	for	ADP
cet-9886	24	11	steady	steady	ADJ
cet-9886	24	12	processes	process	NOUN
cet-9886	24	13	(	(	PUNCT
cet-9886	24	14	arora	arora	PROPN
cet-9886	24	15	and	and	CCONJ
cet-9886	24	16	biegler	biegler	ADJ
cet-9886	24	17	,	,	PUNCT
cet-9886	24	18	2001	2001	NUM
cet-9886	24	19	;	;	PUNCT
cet-9886	24	20	ozyurt	ozyurt	NOUN
cet-9886	24	21	and	and	CCONJ
cet-9886	24	22	pike	pike	NOUN
cet-9886	24	23	,	,	PUNCT
cet-9886	24	24	2004	2004	NUM
cet-9886	24	25	;	;	PUNCT
cet-9886	24	26	llanos	llanos	PROPN
cet-9886	24	27	et	et	PROPN
cet-9886	24	28	al	al	PROPN
cet-9886	24	29	.	.	PROPN
cet-9886	24	30	,	,	PUNCT
cet-9886	24	31	2015	2015	NUM
cet-9886	24	32	)	)	PUNCT
cet-9886	24	33	.	.	PUNCT
cet-9886	25	1	regarding	regard	VERB
cet-9886	25	2	dynamic	dynamic	ADJ
cet-9886	25	3	processes	process	NOUN
cet-9886	25	4	,	,	PUNCT
cet-9886	25	5	the	the	DET
cet-9886	25	6	fair	fair	ADJ
cet-9886	25	7	,	,	PUNCT
cet-9886	25	8	welsch	welsch	PROPN
cet-9886	25	9	,	,	PUNCT
cet-9886	25	10	correntropy	correntropy	NOUN
cet-9886	25	11	and	and	CCONJ
cet-9886	25	12	hampel	hampel	NOUN
cet-9886	25	13	functions	function	NOUN
cet-9886	25	14	have	have	AUX
cet-9886	25	15	been	be	AUX
cet-9886	25	16	used	use	VERB
cet-9886	25	17	as	as	ADP
cet-9886	25	18	mestimators	mestimator	NOUN
cet-9886	25	19	of	of	ADP
cet-9886	25	20	the	the	DET
cet-9886	25	21	robust	robust	ADJ
cet-9886	25	22	dynamic	dynamic	ADJ
cet-9886	25	23	data	datum	NOUN
cet-9886	25	24	reconciliation	reconciliation	NOUN
cet-9886	25	25	(	(	PUNCT
cet-9886	25	26	rddr	rddr	NOUN
cet-9886	25	27	)	)	PUNCT
cet-9886	25	28	problem	problem	NOUN
cet-9886	25	29	.	.	PUNCT
cet-9886	26	1	the	the	DET
cet-9886	26	2	fair	fair	ADJ
cet-9886	26	3	function	function	NOUN
cet-9886	26	4	is	be	AUX
cet-9886	26	5	a	a	DET
cet-9886	26	6	monotone	monotone	ADJ
cet-9886	26	7	mestimator	mestimator	NOUN
cet-9886	26	8	while	while	SCONJ
cet-9886	26	9	the	the	DET
cet-9886	26	10	other	other	ADJ
cet-9886	26	11	three	three	NUM
cet-9886	26	12	are	be	AUX
cet-9886	26	13	redescendent	redescendent	ADJ
cet-9886	26	14	ones	one	NOUN
cet-9886	26	15	.	.	PUNCT
cet-9886	27	1	these	these	DET
cet-9886	27	2	down	down	ADJ
cet-9886	27	3	weight	weight	NOUN
cet-9886	27	4	more	more	ADV
cet-9886	27	5	or	or	CCONJ
cet-9886	27	6	eliminate	eliminate	VERB
cet-9886	27	7	the	the	DET
cet-9886	27	8	effect	effect	NOUN
cet-9886	27	9	of	of	ADP
cet-9886	27	10	outliers	outlier	NOUN
cet-9886	27	11	in	in	ADP
cet-9886	27	12	comparison	comparison	NOUN
cet-9886	27	13	with	with	ADP
cet-9886	27	14	the	the	DET
cet-9886	27	15	fair	fair	ADJ
cet-9886	27	16	function	function	NOUN
cet-9886	27	17	.	.	PUNCT
cet-9886	28	1	however	however	ADV
cet-9886	28	2	,	,	PUNCT
cet-9886	28	3	the	the	DET
cet-9886	28	4	application	application	NOUN
cet-9886	28	5	of	of	ADP
cet-9886	28	6	redescendent	redescendent	NOUN
cet-9886	28	7	estimators	estimator	NOUN
cet-9886	28	8	requires	require	VERB
cet-9886	28	9	a	a	DET
cet-9886	28	10	good	good	ADJ
cet-9886	28	11	starting	starting	NOUN
cet-9886	28	12	point	point	NOUN
cet-9886	28	13	of	of	ADP
cet-9886	28	14	the	the	DET
cet-9886	28	15	optimization	optimization	NOUN
cet-9886	28	16	problem	problem	NOUN
cet-9886	28	17	to	to	PART
cet-9886	28	18	avoid	avoid	VERB
cet-9886	28	19	obtaining	obtain	VERB
cet-9886	28	20	inaccurate	inaccurate	ADJ
cet-9886	28	21	solutions	solution	NOUN
cet-9886	28	22	.	.	PUNCT
cet-9886	29	1	with	with	ADP
cet-9886	29	2	the	the	DET
cet-9886	29	3	aim	aim	NOUN
cet-9886	29	4	of	of	ADP
cet-9886	29	5	detecting	detect	VERB
cet-9886	29	6	the	the	DET
cet-9886	29	7	presence	presence	NOUN
cet-9886	29	8	of	of	ADP
cet-9886	29	9	atypical	atypical	ADJ
cet-9886	29	10	measurements	measurement	NOUN
cet-9886	29	11	in	in	ADP
cet-9886	29	12	rdr	rdr	NOUN
cet-9886	29	13	procedures	procedure	NOUN
cet-9886	29	14	,	,	PUNCT
cet-9886	29	15	albuquerque	albuquerque	NOUN
cet-9886	29	16	and	and	CCONJ
cet-9886	29	17	biegler	biegler	NOUN
cet-9886	29	18	(	(	PUNCT
cet-9886	29	19	1996	1996	NUM
cet-9886	29	20	)	)	PUNCT
cet-9886	29	21	used	use	VERB
cet-9886	29	22	exploratory	exploratory	ADJ
cet-9886	29	23	statistical	statistical	ADJ
cet-9886	29	24	techniques	technique	NOUN
cet-9886	29	25	,	,	PUNCT
cet-9886	29	26	arora	arora	PROPN
cet-9886	29	27	and	and	CCONJ
cet-9886	29	28	biegler	biegler	PROPN
cet-9886	29	29	(	(	PUNCT
cet-9886	29	30	2001	2001	NUM
cet-9886	29	31	)	)	PUNCT
cet-9886	29	32	defined	define	VERB
cet-9886	29	33	explicit	explicit	ADJ
cet-9886	29	34	cutoff	cutoff	NOUN
cet-9886	29	35	points	point	NOUN
cet-9886	29	36	obtained	obtain	VERB
cet-9886	29	37	by	by	ADP
cet-9886	29	38	minimizing	minimize	VERB
cet-9886	29	39	the	the	DET
cet-9886	29	40	akaike	akaike	ADJ
cet-9886	29	41	information	information	NOUN
cet-9886	29	42	criterion	criterion	NOUN
cet-9886	29	43	,	,	PUNCT
cet-9886	29	44	martinez	martinez	PROPN
cet-9886	29	45	pratta	pratta	PROPN
cet-9886	29	46	et	et	PROPN
cet-9886	29	47	al	al	PROPN
cet-9886	29	48	.	.	PROPN
cet-9886	30	1	(	(	PUNCT
cet-9886	30	2	2010	2010	NUM
cet-9886	30	3	)	)	PUNCT
cet-9886	30	4	applied	apply	VERB
cet-9886	30	5	the	the	DET
cet-9886	30	6	inflection	inflection	NOUN
cet-9886	30	7	points	point	NOUN
cet-9886	30	8	of	of	ADP
cet-9886	30	9	the	the	DET
cet-9886	30	10	m	m	NOUN
cet-9886	30	11	-	-	PUNCT
cet-9886	30	12	estimator	estimator	NOUN
cet-9886	30	13	first	first	ADJ
cet-9886	30	14	derivative	derivative	NOUN
cet-9886	30	15	,	,	PUNCT
cet-9886	30	16	while	while	SCONJ
cet-9886	30	17	zhang	zhang	PROPN
cet-9886	30	18	and	and	CCONJ
cet-9886	30	19	chen	chen	PROPN
cet-9886	30	20	(	(	PUNCT
cet-9886	30	21	2015	2015	NUM
cet-9886	30	22	)	)	PUNCT
cet-9886	30	23	used	use	VERB
cet-9886	30	24	the	the	DET
cet-9886	30	25	measurement	measurement	NOUN
cet-9886	30	26	test	test	NOUN
cet-9886	30	27	(	(	PUNCT
cet-9886	30	28	mt	mt	PROPN
cet-9886	30	29	)	)	PUNCT
cet-9886	30	30	.	.	PUNCT
cet-9886	31	1	however	however	ADV
cet-9886	31	2	,	,	PUNCT
cet-9886	31	3	their	their	PRON
cet-9886	31	4	definition	definition	NOUN
cet-9886	31	5	of	of	ADP
cet-9886	31	6	the	the	DET
cet-9886	31	7	mt	mt	PROPN
cet-9886	31	8	is	be	AUX
cet-9886	31	9	different	different	ADJ
cet-9886	31	10	from	from	ADP
cet-9886	31	11	the	the	DET
cet-9886	31	12	one	one	NOUN
cet-9886	31	13	proposed	propose	VERB
cet-9886	31	14	by	by	ADP
cet-9886	31	15	tamhane	tamhane	NOUN
cet-9886	31	16	and	and	CCONJ
cet-9886	31	17	mah	mah	PROPN
cet-9886	31	18	(	(	PUNCT
cet-9886	31	19	1982	1982	NUM
cet-9886	31	20	)	)	PUNCT
cet-9886	31	21	.	.	PUNCT
cet-9886	32	1	recently	recently	ADV
cet-9886	32	2	,	,	PUNCT
cet-9886	32	3	doi	doi	NOUN
cet-9886	32	4	:	:	PUNCT
cet-9886	32	5	10.3303	10.3303	NUM
cet-9886	32	6	/	/	SYM
cet-9886	32	7	cet1974121	cet1974121	NOUN
cet-9886	32	8	paper	paper	NOUN
cet-9886	32	9	received	receive	VERB
cet-9886	32	10	:	:	PUNCT
cet-9886	32	11	29	29	NUM
cet-9886	32	12	april	april	PROPN
cet-9886	32	13	2018	2018	NUM
cet-9886	32	14	;	;	PUNCT
cet-9886	32	15	revised	revise	VERB
cet-9886	32	16	:	:	PUNCT
cet-9886	32	17	16	16	NUM
cet-9886	32	18	october	october	PROPN
cet-9886	32	19	2018	2018	NUM
cet-9886	32	20	;	;	PUNCT
cet-9886	32	21	accepted	accept	VERB
cet-9886	32	22	:	:	PUNCT
cet-9886	32	23	29	29	NUM
cet-9886	32	24	december	december	PROPN
cet-9886	32	25	2018	2018	NUM
cet-9886	32	26	please	please	INTJ
cet-9886	32	27	cite	cite	VERB
cet-9886	32	28	this	this	DET
cet-9886	32	29	article	article	NOUN
cet-9886	32	30	as	as	ADP
cet-9886	32	31	:	:	PUNCT
cet-9886	32	32	llanos	llanos	PROPN
cet-9886	32	33	c.e	c.e	PROPN
cet-9886	32	34	.	.	PROPN
cet-9886	32	35	,	,	PUNCT
cet-9886	32	36	sanchez	sanchez	PROPN
cet-9886	32	37	m.c	m.c	PROPN
cet-9886	32	38	.	.	PROPN
cet-9886	32	39	,	,	PUNCT
cet-9886	32	40	maronna	maronna	PROPN
cet-9886	32	41	r.a	r.a	PROPN
cet-9886	32	42	.	.	PROPN
cet-9886	32	43	,	,	PUNCT
cet-9886	32	44	2019	2019	NUM
cet-9886	32	45	,	,	PUNCT
cet-9886	32	46	dynamic	dynamic	ADJ
cet-9886	32	47	system	system	NOUN
cet-9886	32	48	state	state	NOUN
cet-9886	32	49	estimation	estimation	NOUN
cet-9886	32	50	and	and	CCONJ
cet-9886	32	51	outlier	outlier	NOUN
cet-9886	32	52	detection	detection	NOUN
cet-9886	32	53	using	use	VERB
cet-9886	32	54	robust	robust	ADJ
cet-9886	32	55	data	datum	NOUN
cet-9886	32	56	reconciliation	reconciliation	NOUN
cet-9886	32	57	,	,	PUNCT
cet-9886	32	58	chemical	chemical	NOUN
cet-9886	32	59	engineering	engineering	NOUN
cet-9886	32	60	transactions	transaction	NOUN
cet-9886	32	61	,	,	PUNCT
cet-9886	32	62	74	74	NUM
cet-9886	32	63	,	,	PUNCT
cet-9886	32	64	721	721	NUM
cet-9886	32	65	-	-	SYM
cet-9886	32	66	726	726	NUM
cet-9886	32	67	doi:10.3303	doi:10.3303	NOUN
cet-9886	32	68	/	/	SYM
cet-9886	32	69	cet1974121	cet1974121	NOUN
cet-9886	32	70	721	721	NUM
cet-9886	32	71	a	a	DET
cet-9886	32	72	robust	robust	ADJ
cet-9886	32	73	mt	mt	PROPN
cet-9886	32	74	was	be	AUX
cet-9886	32	75	presented	present	VERB
cet-9886	32	76	that	that	PRON
cet-9886	32	77	is	be	AUX
cet-9886	32	78	able	able	ADJ
cet-9886	32	79	to	to	PART
cet-9886	32	80	detect	detect	VERB
cet-9886	32	81	systematic	systematic	ADJ
cet-9886	32	82	measurement	measurement	NOUN
cet-9886	32	83	errors	error	NOUN
cet-9886	32	84	for	for	ADP
cet-9886	32	85	linear	linear	ADJ
cet-9886	32	86	and	and	CCONJ
cet-9886	32	87	nonlinear	nonlinear	ADJ
cet-9886	32	88	steady	steady	ADJ
cet-9886	32	89	-	-	PUNCT
cet-9886	32	90	state	state	NOUN
cet-9886	32	91	processes	process	NOUN
cet-9886	32	92	(	(	PUNCT
cet-9886	32	93	llanos	llanos	PROPN
cet-9886	32	94	et	et	PROPN
cet-9886	32	95	al	al	PROPN
cet-9886	32	96	.	.	PROPN
cet-9886	32	97	,	,	PUNCT
cet-9886	32	98	2017	2017	NUM
cet-9886	32	99	)	)	PUNCT
cet-9886	32	100	.	.	PUNCT
cet-9886	33	1	for	for	ADP
cet-9886	33	2	implementing	implement	VERB
cet-9886	33	3	rddr	rddr	NOUN
cet-9886	33	4	,	,	PUNCT
cet-9886	33	5	the	the	DET
cet-9886	33	6	measurement	measurement	NOUN
cet-9886	33	7	moving	move	VERB
cet-9886	33	8	window	window	NOUN
cet-9886	33	9	is	be	AUX
cet-9886	33	10	updated	update	VERB
cet-9886	33	11	at	at	ADP
cet-9886	33	12	each	each	DET
cet-9886	33	13	time	time	NOUN
cet-9886	33	14	interval	interval	NOUN
cet-9886	33	15	and	and	CCONJ
cet-9886	33	16	then	then	ADV
cet-9886	33	17	,	,	PUNCT
cet-9886	33	18	the	the	DET
cet-9886	33	19	optimization	optimization	NOUN
cet-9886	33	20	problem	problem	NOUN
cet-9886	33	21	is	be	AUX
cet-9886	33	22	solved	solve	VERB
cet-9886	33	23	using	use	VERB
cet-9886	33	24	deterministic	deterministic	NOUN
cet-9886	33	25	(	(	PUNCT
cet-9886	33	26	arora	arora	PROPN
cet-9886	33	27	and	and	CCONJ
cet-9886	33	28	biegler	biegler	ADJ
cet-9886	33	29	,	,	PUNCT
cet-9886	33	30	2001	2001	NUM
cet-9886	33	31	;	;	PUNCT
cet-9886	33	32	zhang	zhang	PROPN
cet-9886	33	33	and	and	CCONJ
cet-9886	33	34	chen	chen	PROPN
cet-9886	33	35	,	,	PUNCT
cet-9886	33	36	2015	2015	NUM
cet-9886	33	37	)	)	PUNCT
cet-9886	33	38	or	or	CCONJ
cet-9886	33	39	stochastic	stochastic	NOUN
cet-9886	33	40	(	(	PUNCT
cet-9886	33	41	martinez	martinez	PROPN
cet-9886	33	42	pratta	pratta	PROPN
cet-9886	33	43	et	et	PROPN
cet-9886	33	44	al	al	PROPN
cet-9886	33	45	.	.	PROPN
cet-9886	33	46	,	,	PUNCT
cet-9886	33	47	2010	2010	NUM
cet-9886	33	48	)	)	PUNCT
cet-9886	33	49	procedures	procedure	NOUN
cet-9886	33	50	.	.	PUNCT
cet-9886	34	1	in	in	ADP
cet-9886	34	2	this	this	DET
cet-9886	34	3	work	work	NOUN
cet-9886	34	4	,	,	PUNCT
cet-9886	34	5	two	two	NUM
cet-9886	34	6	m	m	NOUN
cet-9886	34	7	-	-	NOUN
cet-9886	34	8	estimators	estimator	NOUN
cet-9886	34	9	are	be	AUX
cet-9886	34	10	selected	select	VERB
cet-9886	34	11	for	for	ADP
cet-9886	34	12	solving	solve	VERB
cet-9886	34	13	the	the	DET
cet-9886	34	14	rddr	rddr	NOUN
cet-9886	34	15	problem	problem	NOUN
cet-9886	34	16	using	use	VERB
cet-9886	34	17	different	different	ADJ
cet-9886	34	18	lengths	length	NOUN
cet-9886	34	19	of	of	ADP
cet-9886	34	20	the	the	DET
cet-9886	34	21	measurement	measurement	NOUN
cet-9886	34	22	moving	move	VERB
cet-9886	34	23	window	window	NOUN
cet-9886	34	24	.	.	PUNCT
cet-9886	35	1	furthermore	furthermore	ADV
cet-9886	35	2	,	,	PUNCT
cet-9886	35	3	the	the	DET
cet-9886	35	4	use	use	NOUN
cet-9886	35	5	of	of	ADP
cet-9886	35	6	rmt	rmt	NOUN
cet-9886	35	7	is	be	AUX
cet-9886	35	8	extended	extend	VERB
cet-9886	35	9	to	to	ADP
cet-9886	35	10	dynamic	dynamic	ADJ
cet-9886	35	11	processes	process	NOUN
cet-9886	35	12	whose	whose	DET
cet-9886	35	13	measurements	measurement	NOUN
cet-9886	35	14	are	be	AUX
cet-9886	35	15	corrupted	corrupt	VERB
cet-9886	35	16	with	with	ADP
cet-9886	35	17	atypical	atypical	ADJ
cet-9886	35	18	observations	observation	NOUN
cet-9886	35	19	.	.	PUNCT
cet-9886	36	1	the	the	DET
cet-9886	36	2	results	result	NOUN
cet-9886	36	3	of	of	ADP
cet-9886	36	4	comparative	comparative	ADJ
cet-9886	36	5	performance	performance	NOUN
cet-9886	36	6	analysis	analysis	NOUN
cet-9886	36	7	are	be	AUX
cet-9886	36	8	presented	present	VERB
cet-9886	36	9	in	in	ADP
cet-9886	36	10	terms	term	NOUN
cet-9886	36	11	of	of	ADP
cet-9886	36	12	mean	mean	ADJ
cet-9886	36	13	square	square	ADJ
cet-9886	36	14	error	error	NOUN
cet-9886	36	15	(	(	PUNCT
cet-9886	36	16	mse	mse	NOUN
cet-9886	36	17	)	)	PUNCT
cet-9886	36	18	,	,	PUNCT
cet-9886	36	19	percentage	percentage	NOUN
cet-9886	36	20	of	of	ADP
cet-9886	36	21	outlier	outlier	NOUN
cet-9886	36	22	detection	detection	NOUN
cet-9886	36	23	(	(	PUNCT
cet-9886	36	24	%	%	INTJ
cet-9886	36	25	dt	dt	X
cet-9886	36	26	)	)	PUNCT
cet-9886	36	27	and	and	CCONJ
cet-9886	36	28	percentage	percentage	NOUN
cet-9886	36	29	of	of	ADP
cet-9886	36	30	false	false	ADJ
cet-9886	36	31	alarms	alarm	NOUN
cet-9886	36	32	(	(	PUNCT
cet-9886	36	33	%	%	INTJ
cet-9886	36	34	fa	fa	NOUN
cet-9886	36	35	)	)	PUNCT
cet-9886	36	36	.	.	PUNCT
cet-9886	37	1	the	the	DET
cet-9886	37	2	paper	paper	NOUN
cet-9886	37	3	is	be	AUX
cet-9886	37	4	structured	structure	VERB
cet-9886	37	5	as	as	SCONJ
cet-9886	37	6	follows	follow	VERB
cet-9886	37	7	.	.	PUNCT
cet-9886	38	1	the	the	DET
cet-9886	38	2	rddr	rddr	NOUN
cet-9886	38	3	and	and	CCONJ
cet-9886	38	4	rmt	rmt	NOUN
cet-9886	38	5	methodologies	methodology	NOUN
cet-9886	38	6	,	,	PUNCT
cet-9886	38	7	and	and	CCONJ
cet-9886	38	8	the	the	DET
cet-9886	38	9	algorithm	algorithm	NOUN
cet-9886	38	10	proposed	propose	VERB
cet-9886	38	11	to	to	PART
cet-9886	38	12	reconcile	reconcile	VERB
cet-9886	38	13	observations	observation	NOUN
cet-9886	38	14	and	and	CCONJ
cet-9886	38	15	detect	detect	VERB
cet-9886	38	16	atypical	atypical	ADJ
cet-9886	38	17	measurements	measurement	NOUN
cet-9886	38	18	are	be	AUX
cet-9886	38	19	presented	present	VERB
cet-9886	38	20	in	in	ADP
cet-9886	38	21	section	section	NOUN
cet-9886	38	22	2	2	NUM
cet-9886	38	23	.	.	PUNCT
cet-9886	39	1	the	the	DET
cet-9886	39	2	case	case	NOUN
cet-9886	39	3	studies	study	NOUN
cet-9886	39	4	and	and	CCONJ
cet-9886	39	5	the	the	DET
cet-9886	39	6	performance	performance	NOUN
cet-9886	39	7	measures	measure	NOUN
cet-9886	39	8	are	be	AUX
cet-9886	39	9	described	describe	VERB
cet-9886	39	10	in	in	ADP
cet-9886	39	11	section	section	NOUN
cet-9886	39	12	3	3	NUM
cet-9886	39	13	.	.	PUNCT
cet-9886	40	1	the	the	DET
cet-9886	40	2	benchmark	benchmark	NOUN
cet-9886	40	3	and	and	CCONJ
cet-9886	40	4	results	result	NOUN
cet-9886	40	5	are	be	AUX
cet-9886	40	6	included	include	VERB
cet-9886	40	7	in	in	ADP
cet-9886	40	8	section	section	NOUN
cet-9886	40	9	4	4	NUM
cet-9886	40	10	.	.	PUNCT
cet-9886	41	1	finally	finally	ADV
cet-9886	41	2	,	,	PUNCT
cet-9886	41	3	a	a	DET
cet-9886	41	4	conclusions	conclusion	NOUN
cet-9886	41	5	section	section	NOUN
cet-9886	41	6	closes	close	VERB
cet-9886	41	7	this	this	DET
cet-9886	41	8	work	work	NOUN
cet-9886	41	9	.	.	PUNCT
cet-9886	42	1	2	2	X
cet-9886	42	2	.	.	X
cet-9886	42	3	methodology	methodology	NOUN
cet-9886	42	4	2.1	2.1	NUM
cet-9886	42	5	general	general	ADJ
cet-9886	42	6	formulation	formulation	NOUN
cet-9886	42	7	of	of	ADP
cet-9886	42	8	dynamic	dynamic	ADJ
cet-9886	42	9	data	datum	NOUN
cet-9886	42	10	reconciliation	reconciliation	NOUN
cet-9886	42	11	let	let	VERB
cet-9886	42	12	us	we	PRON
cet-9886	42	13	formulate	formulate	VERB
cet-9886	42	14	the	the	DET
cet-9886	42	15	dynamic	dynamic	ADJ
cet-9886	42	16	data	datum	NOUN
cet-9886	42	17	reconciliation	reconciliation	NOUN
cet-9886	42	18	problem	problem	NOUN
cet-9886	42	19	as	as	SCONJ
cet-9886	42	20	follows	follow	VERB
cet-9886	42	21	:	:	PUNCT
cet-9886	42	22	(	(	PUNCT
cet-9886	42	23	)	)	PUNCT
cet-9886	42	24	(	(	PUNCT
cet-9886	42	25	)	)	PUNCT
cet-9886	42	26	,	,	PUNCT
cet-9886	42	27	1	1	NUM
cet-9886	42	28	1	1	NUM
cet-9886	42	29	,	,	PUNCT
cet-9886	42	30	ˆ	ˆ	DET
cet-9886	42	31	ˆ	ˆ	ADJ
cet-9886	42	32	[	[	PUNCT
cet-9886	42	33	,	,	PUNCT
cet-9886	42	34	]	]	PUNCT
cet-9886	42	35	.	.	PUNCT
cet-9886	43	1	,	,	PUNCT
cet-9886	43	2	,	,	PUNCT
cet-9886	43	3	=	=	PRON
cet-9886	43	4	,	,	PUNCT
cet-9886	43	5	=	=	PUNCT
cet-9886	44	1	j	j	PROPN
cet-9886	45	1	j	j	PROPN
cet-9886	45	2	j	j	PROPN
cet-9886	46	1	i	i	PRON
cet-9886	46	2	ip	ip	VERB
cet-9886	46	3	ij	ij	INTJ
cet-9886	47	1	j	j	PROPN
cet-9886	47	2	j	j	PROPN
cet-9886	47	3	x	x	SYM
cet-9886	47	4	u	u	PROPN
cet-9886	47	5	p	p	PROPN
cet-9886	47	6	j	j	PROPN
cet-9886	47	7	n	n	CCONJ
cet-9886	48	1	i	i	PRON
cet-9886	48	2	y	y	VERB
cet-9886	49	1	i	i	PRON
cet-9886	49	2	y	y	VERB
cet-9886	49	3	x	x	VERB
cet-9886	49	4	min	min	PROPN
cet-9886	49	5	dst	dst	PROPN
cet-9886	49	6	t	t	PROPN
cet-9886	50	1	dt	dt	X
cet-9886	50	2	t	t	PROPN
cet-9886	50	3	ϕ	ϕ	PROPN
cet-9886	50	4	σ=	σ=	NOUN
cet-9886	50	5	−	−	PROPN
cet-9886	51	1	+	+	CCONJ
cet-9886	51	2	=	=	NOUN
cet-9886	51	3			NOUN
cet-9886	51	4	−	−	NOUN
cet-9886	51	5	=	=	SYM
cet-9886	51	6			PROPN
cet-9886	51	7			NOUN
cet-9886	52	1			PROPN
cet-9886	52	2			PROPN
cet-9886	52	3			NOUN
cet-9886	52	4			NUM
cet-9886	52	5			NOUN
cet-9886	52	6			NOUN
cet-9886	52	7			PROPN
cet-9886	52	8			PROPN
cet-9886	52	9	≥	≥	PRON
cet-9886	52	10			X
cet-9886	52	11	x	x	PROPN
cet-9886	52	12	u	u	NOUN
cet-9886	53	1	z	z	PROPN
cet-9886	53	2	f	f	PROPN
cet-9886	53	3	z	z	NOUN
cet-9886	53	4	0	0	NUM
cet-9886	54	1	h	h	NOUN
cet-9886	54	2	z	z	NOUN
cet-9886	54	3	0	0	NUM
cet-9886	55	1	g	g	PROPN
cet-9886	55	2	z	z	NOUN
cet-9886	55	3	0	0	NUM
cet-9886	56	1	(	(	PUNCT
cet-9886	56	2	1	1	NUM
cet-9886	56	3	)	)	PUNCT
cet-9886	56	4	where	where	SCONJ
cet-9886	56	5	[	[	PUNCT
cet-9886	56	6	ˆ	ˆ	NOUN
cet-9886	56	7	ˆ,r	ˆ,r	VERB
cet-9886	56	8	r	r	NOUN
cet-9886	56	9	j	j	PROPN
cet-9886	56	10	jx	jx	PROPN
cet-9886	56	11	u	u	PROPN
cet-9886	56	12	]	]	PUNCT
cet-9886	56	13	are	be	AUX
cet-9886	56	14	the	the	DET
cet-9886	56	15	estimated	estimate	VERB
cet-9886	56	16	values	value	NOUN
cet-9886	56	17	of	of	ADP
cet-9886	56	18	the	the	DET
cet-9886	56	19	measured	measure	VERB
cet-9886	56	20	(	(	PUNCT
cet-9886	56	21	x	x	NOUN
cet-9886	56	22	)	)	PUNCT
cet-9886	56	23	and	and	CCONJ
cet-9886	56	24	unmeasured	unmeasured	ADJ
cet-9886	56	25	(	(	PUNCT
cet-9886	56	26	u	u	NOUN
cet-9886	56	27	)	)	PUNCT
cet-9886	56	28	variables	variable	NOUN
cet-9886	56	29	at	at	ADP
cet-9886	56	30	the	the	DET
cet-9886	56	31	j	j	PROPN
cet-9886	56	32	-	-	PUNCT
cet-9886	56	33	th	th	PROPN
cet-9886	56	34	time	time	NOUN
cet-9886	56	35	interval	interval	NOUN
cet-9886	56	36	.	.	PUNCT
cet-9886	57	1	furthermore	furthermore	ADV
cet-9886	57	2	ϕ	ϕ	NOUN
cet-9886	57	3	represents	represent	VERB
cet-9886	57	4	the	the	DET
cet-9886	57	5	estimator	estimator	NOUN
cet-9886	57	6	function	function	NOUN
cet-9886	57	7	,	,	PUNCT
cet-9886	57	8	i	i	PRON
cet-9886	57	9	is	be	AUX
cet-9886	57	10	the	the	DET
cet-9886	57	11	number	number	NOUN
cet-9886	57	12	of	of	ADP
cet-9886	57	13	observations	observation	NOUN
cet-9886	57	14	,	,	PUNCT
cet-9886	57	15	n	n	PRON
cet-9886	57	16	is	be	AUX
cet-9886	57	17	the	the	DET
cet-9886	57	18	length	length	NOUN
cet-9886	57	19	of	of	ADP
cet-9886	57	20	the	the	DET
cet-9886	57	21	measurement	measurement	NOUN
cet-9886	57	22	moving	move	VERB
cet-9886	57	23	window	window	NOUN
cet-9886	57	24	,	,	PUNCT
cet-9886	57	25	σy	σy	PROPN
cet-9886	57	26	,	,	PUNCT
cet-9886	57	27	i	i	PRON
cet-9886	57	28	is	be	AUX
cet-9886	57	29	the	the	DET
cet-9886	57	30	standard	standard	ADJ
cet-9886	57	31	deviation	deviation	NOUN
cet-9886	57	32	of	of	ADP
cet-9886	57	33	the	the	DET
cet-9886	57	34	i	i	PROPN
cet-9886	57	35	-	-	PUNCT
cet-9886	57	36	th	th	X
cet-9886	57	37	measured	measure	VERB
cet-9886	57	38	variable	variable	NOUN
cet-9886	57	39	and	and	CCONJ
cet-9886	57	40	yip	yip	PROPN
cet-9886	57	41	is	be	AUX
cet-9886	57	42	its	its	PRON
cet-9886	57	43	observed	observed	ADJ
cet-9886	57	44	value	value	NOUN
cet-9886	57	45	at	at	ADP
cet-9886	57	46	the	the	DET
cet-9886	57	47	p	p	NOUN
cet-9886	57	48	-	-	PUNCT
cet-9886	57	49	th	th	NOUN
cet-9886	57	50	time	time	NOUN
cet-9886	57	51	interval	interval	NOUN
cet-9886	57	52	.	.	PUNCT
cet-9886	58	1	regards	regard	VERB
cet-9886	58	2	the	the	DET
cet-9886	58	3	model	model	NOUN
cet-9886	58	4	,	,	PUNCT
cet-9886	58	5	z=[x	z=[x	PROPN
cet-9886	58	6	u	u	NOUN
cet-9886	58	7	]	]	PROPN
cet-9886	58	8	,	,	PUNCT
cet-9886	58	9	f	f	PROPN
cet-9886	58	10	and	and	CCONJ
cet-9886	58	11	h	h	PROPN
cet-9886	58	12	represent	represent	VERB
cet-9886	58	13	the	the	DET
cet-9886	58	14	set	set	NOUN
cet-9886	58	15	of	of	ADP
cet-9886	58	16	differentialalgebraic	differentialalgebraic	ADJ
cet-9886	58	17	process	process	NOUN
cet-9886	58	18	restrictions	restriction	NOUN
cet-9886	58	19	,	,	PUNCT
cet-9886	58	20	while	while	SCONJ
cet-9886	58	21	g	g	PROPN
cet-9886	58	22	stands	stand	VERB
cet-9886	58	23	for	for	ADP
cet-9886	58	24	inequalities	inequality	NOUN
cet-9886	58	25	constraints	constraint	NOUN
cet-9886	58	26	.	.	PUNCT
cet-9886	59	1	this	this	DET
cet-9886	59	2	optimization	optimization	NOUN
cet-9886	59	3	problem	problem	NOUN
cet-9886	59	4	can	can	AUX
cet-9886	59	5	be	be	AUX
cet-9886	59	6	solved	solve	VERB
cet-9886	59	7	using	use	VERB
cet-9886	59	8	nonlinear	nonlinear	ADJ
cet-9886	59	9	programming	programming	NOUN
cet-9886	59	10	techniques	technique	NOUN
cet-9886	59	11	based	base	VERB
cet-9886	59	12	on	on	ADP
cet-9886	59	13	simultaneous	simultaneous	ADJ
cet-9886	59	14	or	or	CCONJ
cet-9886	59	15	sequential	sequential	ADJ
cet-9886	59	16	approaches	approach	NOUN
cet-9886	59	17	.	.	PUNCT
cet-9886	60	1	the	the	DET
cet-9886	60	2	last	last	ADJ
cet-9886	60	3	one	one	NOUN
cet-9886	60	4	iteratively	iteratively	ADV
cet-9886	60	5	applies	apply	VERB
cet-9886	60	6	two	two	NUM
cet-9886	60	7	steps	step	NOUN
cet-9886	60	8	:	:	PUNCT
cet-9886	60	9	at	at	ADP
cet-9886	60	10	first	first	ADV
cet-9886	60	11	the	the	DET
cet-9886	60	12	time	time	NOUN
cet-9886	60	13	evolution	evolution	NOUN
cet-9886	60	14	of	of	ADP
cet-9886	60	15	the	the	DET
cet-9886	60	16	process	process	NOUN
cet-9886	60	17	model	model	NOUN
cet-9886	60	18	is	be	AUX
cet-9886	60	19	obtained	obtain	VERB
cet-9886	60	20	using	use	VERB
cet-9886	60	21	an	an	DET
cet-9886	60	22	ode	ode	ADJ
cet-9886	60	23	solver	solver	NOUN
cet-9886	60	24	for	for	ADP
cet-9886	60	25	a	a	DET
cet-9886	60	26	particular	particular	ADJ
cet-9886	60	27	set	set	NOUN
cet-9886	60	28	of	of	ADP
cet-9886	60	29	initial	initial	ADJ
cet-9886	60	30	conditions	condition	NOUN
cet-9886	60	31	,	,	PUNCT
cet-9886	60	32	and	and	CCONJ
cet-9886	60	33	then	then	ADV
cet-9886	60	34	an	an	DET
cet-9886	60	35	optimization	optimization	NOUN
cet-9886	60	36	algorithm	algorithm	NOUN
cet-9886	60	37	provides	provide	VERB
cet-9886	60	38	new	new	ADJ
cet-9886	60	39	estimations	estimation	NOUN
cet-9886	60	40	of	of	ADP
cet-9886	60	41	these	these	DET
cet-9886	60	42	conditions	condition	NOUN
cet-9886	60	43	.	.	PUNCT
cet-9886	61	1	both	both	DET
cet-9886	61	2	steps	step	NOUN
cet-9886	61	3	run	run	VERB
cet-9886	61	4	until	until	ADP
cet-9886	61	5	convergence	convergence	NOUN
cet-9886	61	6	for	for	ADP
cet-9886	61	7	each	each	DET
cet-9886	61	8	time	time	NOUN
cet-9886	61	9	interval	interval	NOUN
cet-9886	61	10	.	.	PUNCT
cet-9886	62	1	the	the	DET
cet-9886	62	2	sequential	sequential	ADJ
cet-9886	62	3	approach	approach	NOUN
cet-9886	62	4	has	have	AUX
cet-9886	62	5	been	be	AUX
cet-9886	62	6	selected	select	VERB
cet-9886	62	7	for	for	ADP
cet-9886	62	8	this	this	DET
cet-9886	62	9	work	work	NOUN
cet-9886	62	10	because	because	SCONJ
cet-9886	62	11	it	it	PRON
cet-9886	62	12	is	be	AUX
cet-9886	62	13	easy	easy	ADJ
cet-9886	62	14	to	to	PART
cet-9886	62	15	implement	implement	VERB
cet-9886	62	16	and	and	CCONJ
cet-9886	62	17	a	a	DET
cet-9886	62	18	feasible	feasible	ADJ
cet-9886	62	19	solution	solution	NOUN
cet-9886	62	20	is	be	AUX
cet-9886	62	21	always	always	ADV
cet-9886	62	22	obtained	obtain	VERB
cet-9886	62	23	.	.	PUNCT
cet-9886	63	1	2.2	2.2	NUM
cet-9886	63	2	measurement	measurement	NOUN
cet-9886	63	3	models	model	NOUN
cet-9886	63	4	measurements	measurement	NOUN
cet-9886	63	5	always	always	ADV
cet-9886	63	6	contain	contain	VERB
cet-9886	63	7	random	random	ADJ
cet-9886	63	8	errors	error	NOUN
cet-9886	63	9	caused	cause	VERB
cet-9886	63	10	by	by	ADP
cet-9886	63	11	unknown	unknown	ADJ
cet-9886	63	12	and	and	CCONJ
cet-9886	63	13	unpredictable	unpredictable	ADJ
cet-9886	63	14	sources	source	NOUN
cet-9886	63	15	.	.	PUNCT
cet-9886	64	1	the	the	DET
cet-9886	64	2	measurement	measurement	NOUN
cet-9886	64	3	model	model	NOUN
cet-9886	64	4	of	of	ADP
cet-9886	64	5	yij	yij	NOUN
cet-9886	64	6	can	can	AUX
cet-9886	64	7	be	be	AUX
cet-9886	64	8	represented	represent	VERB
cet-9886	64	9	as	as	SCONJ
cet-9886	64	10	follows	follow	VERB
cet-9886	64	11	:	:	PUNCT
cet-9886	64	12	ij	ij	INTJ
cet-9886	64	13	i	i	PRON
cet-9886	64	14	ijy	ijy	VERB
cet-9886	64	15	x	x	X
cet-9886	64	16	e=	e=	PROPN
cet-9886	65	1	+	+	CCONJ
cet-9886	66	1	(	(	PUNCT
cet-9886	66	2	2	2	NUM
cet-9886	66	3	)	)	PUNCT
cet-9886	66	4	where	where	SCONJ
cet-9886	66	5	xi	xi	PROPN
cet-9886	66	6	is	be	AUX
cet-9886	66	7	the	the	DET
cet-9886	66	8	true	true	ADJ
cet-9886	66	9	value	value	NOUN
cet-9886	66	10	of	of	ADP
cet-9886	66	11	the	the	DET
cet-9886	66	12	i	i	PROPN
cet-9886	66	13	-	-	PUNCT
cet-9886	66	14	th	th	X
cet-9886	66	15	variable	variable	NOUN
cet-9886	66	16	and	and	CCONJ
cet-9886	66	17	eij	eij	PROPN
cet-9886	66	18	stands	stand	VERB
cet-9886	66	19	for	for	ADP
cet-9886	66	20	the	the	DET
cet-9886	66	21	random	random	ADJ
cet-9886	66	22	error	error	NOUN
cet-9886	66	23	.	.	PUNCT
cet-9886	67	1	it	it	PRON
cet-9886	67	2	is	be	AUX
cet-9886	67	3	commonly	commonly	ADV
cet-9886	67	4	assumed	assume	VERB
cet-9886	67	5	that	that	SCONJ
cet-9886	67	6	2	2	NUM
cet-9886	67	7	,	,	PUNCT
cet-9886	67	8	(	(	PUNCT
cet-9886	67	9	0	0	NUM
cet-9886	67	10	,	,	PUNCT
cet-9886	67	11	)	)	PUNCT
cet-9886	67	12	ij	ij	NOUN
cet-9886	67	13	y	y	PROPN
cet-9886	67	14	ie	ie	X
cet-9886	67	15	σn	σn	ADJ
cet-9886	67	16	.	.	PUNCT
cet-9886	68	1	in	in	ADP
cet-9886	68	2	contrast	contrast	NOUN
cet-9886	68	3	,	,	PUNCT
cet-9886	68	4	outliers	outlier	NOUN
cet-9886	68	5	are	be	AUX
cet-9886	68	6	isolated	isolate	VERB
cet-9886	68	7	measurements	measurement	NOUN
cet-9886	68	8	that	that	PRON
cet-9886	68	9	do	do	AUX
cet-9886	68	10	not	not	PART
cet-9886	68	11	follow	follow	VERB
cet-9886	68	12	the	the	DET
cet-9886	68	13	general	general	ADJ
cet-9886	68	14	pattern	pattern	NOUN
cet-9886	68	15	of	of	ADP
cet-9886	68	16	data	datum	NOUN
cet-9886	68	17	causing	cause	VERB
cet-9886	68	18	heavytailed	heavytailed	ADJ
cet-9886	68	19	distributions	distribution	NOUN
cet-9886	68	20	.	.	PUNCT
cet-9886	69	1	this	this	DET
cet-9886	69	2	observation	observation	NOUN
cet-9886	69	3	is	be	AUX
cet-9886	69	4	defined	define	VERB
cet-9886	69	5	as	as	SCONJ
cet-9886	69	6	follows	follow	VERB
cet-9886	69	7	:	:	PUNCT
cet-9886	69	8	ij	ij	INTJ
cet-9886	70	1	i	i	PRON
cet-9886	70	2	ij	ij	INTJ
cet-9886	70	3	ijy	ijy	NOUN
cet-9886	70	4	x	x	SYM
cet-9886	70	5	e	e	NOUN
cet-9886	70	6	kσ=	kσ=	NOUN
cet-9886	70	7	+	+	X
cet-9886	70	8	+	+	CCONJ
cet-9886	70	9	(	(	PUNCT
cet-9886	70	10	3	3	NUM
cet-9886	70	11	)	)	PUNCT
cet-9886	70	12	where	where	SCONJ
cet-9886	70	13	k	k	PROPN
cet-9886	70	14	is	be	AUX
cet-9886	70	15	a	a	DET
cet-9886	70	16	scalar	scalar	NOUN
cet-9886	70	17	that	that	PRON
cet-9886	70	18	stands	stand	VERB
cet-9886	70	19	for	for	ADP
cet-9886	70	20	the	the	DET
cet-9886	70	21	magnitude	magnitude	NOUN
cet-9886	70	22	of	of	ADP
cet-9886	70	23	the	the	DET
cet-9886	70	24	error	error	NOUN
cet-9886	70	25	.	.	PUNCT
cet-9886	71	1	2.3	2.3	NUM
cet-9886	71	2	proposed	propose	VERB
cet-9886	71	3	strategy	strategy	NOUN
cet-9886	71	4	llanos	llanos	PROPN
cet-9886	71	5	et	et	PROPN
cet-9886	71	6	al	al	PROPN
cet-9886	71	7	.	.	PROPN
cet-9886	71	8	(	(	PUNCT
cet-9886	71	9	2017	2017	NUM
cet-9886	71	10	)	)	PUNCT
cet-9886	71	11	developed	develop	VERB
cet-9886	71	12	an	an	DET
cet-9886	71	13	algorithm	algorithm	NOUN
cet-9886	71	14	that	that	PRON
cet-9886	71	15	combines	combine	VERB
cet-9886	71	16	rdr	rdr	NOUN
cet-9886	71	17	and	and	CCONJ
cet-9886	71	18	the	the	DET
cet-9886	71	19	rmt	rmt	NOUN
cet-9886	71	20	for	for	ADP
cet-9886	71	21	process	process	NOUN
cet-9886	71	22	operating	operate	VERB
cet-9886	71	23	at	at	ADP
cet-9886	71	24	steady	steady	ADJ
cet-9886	71	25	state	state	NOUN
cet-9886	71	26	.	.	PUNCT
cet-9886	72	1	the	the	DET
cet-9886	72	2	strategy	strategy	NOUN
cet-9886	72	3	is	be	AUX
cet-9886	72	4	able	able	ADJ
cet-9886	72	5	to	to	PART
cet-9886	72	6	obtain	obtain	VERB
cet-9886	72	7	reconciled	reconcile	VERB
cet-9886	72	8	measurements	measurement	NOUN
cet-9886	72	9	,	,	PUNCT
cet-9886	72	10	detect	detect	VERB
cet-9886	72	11	and	and	CCONJ
cet-9886	72	12	identify	identify	VERB
cet-9886	72	13	suspicious	suspicious	ADJ
cet-9886	72	14	observations	observation	NOUN
cet-9886	72	15	and	and	CCONJ
cet-9886	72	16	classified	classify	VERB
cet-9886	72	17	them	they	PRON
cet-9886	72	18	.	.	PUNCT
cet-9886	73	1	in	in	ADP
cet-9886	73	2	this	this	DET
cet-9886	73	3	work	work	NOUN
cet-9886	73	4	that	that	PRON
cet-9886	73	5	algorithm	algorithm	NOUN
cet-9886	73	6	is	be	AUX
cet-9886	73	7	adapted	adapt	VERB
cet-9886	73	8	to	to	PART
cet-9886	73	9	deal	deal	VERB
cet-9886	73	10	with	with	ADP
cet-9886	73	11	dynamic	dynamic	ADJ
cet-9886	73	12	processes	process	NOUN
cet-9886	73	13	.	.	PUNCT
cet-9886	74	1	next	next	ADV
cet-9886	74	2	,	,	PUNCT
cet-9886	74	3	the	the	DET
cet-9886	74	4	steps	step	NOUN
cet-9886	74	5	that	that	PRON
cet-9886	74	6	are	be	AUX
cet-9886	74	7	part	part	NOUN
cet-9886	74	8	of	of	ADP
cet-9886	74	9	the	the	DET
cet-9886	74	10	proposed	propose	VERB
cet-9886	74	11	strategy	strategy	NOUN
cet-9886	74	12	are	be	AUX
cet-9886	74	13	described	describe	VERB
cet-9886	74	14	,	,	PUNCT
cet-9886	74	15	and	and	CCONJ
cet-9886	74	16	the	the	DET
cet-9886	74	17	algorithm	algorithm	NOUN
cet-9886	74	18	which	which	PRON
cet-9886	74	19	solves	solve	VERB
cet-9886	74	20	dynamic	dynamic	ADJ
cet-9886	74	21	problems	problem	NOUN
cet-9886	74	22	is	be	AUX
cet-9886	74	23	presented	present	VERB
cet-9886	74	24	.	.	PUNCT
cet-9886	75	1	722	722	NUM
cet-9886	75	2	2.3.1	2.3.1	NUM
cet-9886	75	3	step	step	NOUN
cet-9886	75	4	1	1	NUM
cet-9886	75	5	:	:	PUNCT
cet-9886	75	6	robust	robust	ADJ
cet-9886	75	7	dynamic	dynamic	ADJ
cet-9886	75	8	data	datum	NOUN
cet-9886	75	9	reconciliation	reconciliation	NOUN
cet-9886	75	10	in	in	ADP
cet-9886	75	11	this	this	DET
cet-9886	75	12	work	work	NOUN
cet-9886	75	13	,	,	PUNCT
cet-9886	75	14	the	the	DET
cet-9886	75	15	huber	huber	PROPN
cet-9886	75	16	(	(	PUNCT
cet-9886	75	17	hu	hu	PROPN
cet-9886	75	18	)	)	PUNCT
cet-9886	75	19	and	and	CCONJ
cet-9886	75	20	biweigth	biweigth	NOUN
cet-9886	75	21	(	(	PUNCT
cet-9886	75	22	bw	bw	NOUN
cet-9886	75	23	)	)	PUNCT
cet-9886	75	24	m	m	NOUN
cet-9886	75	25	-	-	NOUN
cet-9886	75	26	estimators	estimator	NOUN
cet-9886	75	27	are	be	AUX
cet-9886	75	28	used	use	VERB
cet-9886	75	29	as	as	ADP
cet-9886	75	30	of	of	ADP
cet-9886	75	31	of	of	ADP
cet-9886	75	32	the	the	DET
cet-9886	75	33	rddr	rddr	NOUN
cet-9886	75	34	.	.	PUNCT
cet-9886	76	1	this	this	DET
cet-9886	76	2	problem	problem	NOUN
cet-9886	76	3	formulation	formulation	NOUN
cet-9886	76	4	for	for	ADP
cet-9886	76	5	the	the	DET
cet-9886	76	6	hu	hu	PROPN
cet-9886	76	7	estimator	estimator	NOUN
cet-9886	76	8	is	be	AUX
cet-9886	76	9	the	the	DET
cet-9886	76	10	following	following	NOUN
cet-9886	76	11	:	:	PUNCT
cet-9886	76	12	(	(	PUNCT
cet-9886	76	13	)	)	PUNCT
cet-9886	76	14	(	(	PUNCT
cet-9886	76	15	)	)	PUNCT
cet-9886	76	16	,	,	PUNCT
cet-9886	76	17	1	1	NUM
cet-9886	76	18	1	1	NUM
cet-9886	76	19	,	,	PUNCT
cet-9886	76	20	ˆ	ˆ	PRON
cet-9886	76	21	ˆ	ˆ	ADJ
cet-9886	76	22	[	[	PUNCT
cet-9886	76	23	,	,	PUNCT
cet-9886	76	24	]	]	PUNCT
cet-9886	76	25	.	.	PUNCT
cet-9886	77	1	,	,	PUNCT
cet-9886	77	2	,	,	PUNCT
cet-9886	77	3	=	=	PRON
cet-9886	77	4	,	,	PUNCT
cet-9886	77	5	=	=	PUNCT
cet-9886	78	1	j	j	PROPN
cet-9886	79	1	j	j	PROPN
cet-9886	79	2	j	j	PROPN
cet-9886	80	1	i	i	PRON
cet-9886	80	2	ip	ip	VERB
cet-9886	80	3	ijr	ijr	VERB
cet-9886	80	4	r	r	NOUN
cet-9886	80	5	jj	jj	PROPN
cet-9886	80	6	jj	jj	PROPN
cet-9886	80	7	hux	hux	PROPN
cet-9886	80	8	u	u	PROPN
cet-9886	80	9	p	p	PROPN
cet-9886	80	10	j	j	PROPN
cet-9886	81	1	n	n	CCONJ
cet-9886	81	2	i	i	PRON
cet-9886	82	1	y	y	VERB
cet-9886	83	1	i	i	PRON
cet-9886	83	2	y	y	VERB
cet-9886	83	3	x	x	VERB
cet-9886	83	4	min	min	PROPN
cet-9886	83	5	dst	dst	PROPN
cet-9886	83	6	t	t	PROPN
cet-9886	84	1	dt	dt	X
cet-9886	84	2	t	t	PROPN
cet-9886	84	3	ρ	ρ	NUM
cet-9886	84	4	σ=	σ=	NOUN
cet-9886	84	5	−	−	PROPN
cet-9886	85	1	+	+	CCONJ
cet-9886	85	2	=	=	NOUN
cet-9886	85	3			NOUN
cet-9886	85	4	−	−	NOUN
cet-9886	85	5	=	=	SYM
cet-9886	85	6			PROPN
cet-9886	85	7			NOUN
cet-9886	86	1			PROPN
cet-9886	86	2			PROPN
cet-9886	86	3			NOUN
cet-9886	86	4			NUM
cet-9886	86	5			NOUN
cet-9886	86	6			NOUN
cet-9886	86	7			PROPN
cet-9886	86	8			PROPN
cet-9886	86	9	≥	≥	PRON
cet-9886	86	10			X
cet-9886	86	11	x	x	PROPN
cet-9886	86	12	u	u	NOUN
cet-9886	87	1	z	z	PROPN
cet-9886	87	2	f	f	PROPN
cet-9886	87	3	z	z	NOUN
cet-9886	87	4	0	0	NUM
cet-9886	88	1	h	h	NOUN
cet-9886	88	2	z	z	NOUN
cet-9886	88	3	0	0	NUM
cet-9886	89	1	g	g	PROPN
cet-9886	89	2	z	z	NOUN
cet-9886	89	3	0	0	NUM
cet-9886	89	4	(	(	PUNCT
cet-9886	89	5	4	4	NUM
cet-9886	89	6	)	)	PUNCT
cet-9886	89	7	where	where	SCONJ
cet-9886	89	8	ρhu	ρhu	PROPN
cet-9886	89	9	stands	stand	VERB
cet-9886	89	10	for	for	ADP
cet-9886	89	11	the	the	DET
cet-9886	89	12	huber	huber	PROPN
cet-9886	89	13	m	m	PROPN
cet-9886	89	14	-	-	PUNCT
cet-9886	89	15	estimator	estimator	NOUN
cet-9886	89	16	defined	define	VERB
cet-9886	89	17	as	as	ADP
cet-9886	89	18	2	2	NUM
cet-9886	89	19	22	22	NUM
cet-9886	89	20	hu	hu	PROPN
cet-9886	89	21	hu	hu	PROPN
cet-9886	89	22	huhu	huhu	PROPN
cet-9886	89	23	hu	hu	PROPN
cet-9886	90	1	a	a	DET
cet-9886	90	2	a	a	DET
cet-9886	90	3	c	c	NOUN
cet-9886	90	4	a	a	DET
cet-9886	90	5	cc	cc	ADP
cet-9886	90	6	a	a	DET
cet-9886	90	7	c	c	NOUN
cet-9886	90	8	ρ	ρ	PRON
cet-9886	90	9			ADP
cet-9886	90	10	≤=	≤=	NOUN
cet-9886	90	11			NUM
cet-9886	90	12	>	>	PUNCT
cet-9886	90	13	−	−	PROPN
cet-9886	90	14	(	(	PUNCT
cet-9886	90	15	5	5	NUM
cet-9886	90	16	)	)	PUNCT
cet-9886	90	17	and	and	CCONJ
cet-9886	90	18	chu	chu	PROPN
cet-9886	90	19	is	be	AUX
cet-9886	90	20	a	a	DET
cet-9886	90	21	scalar	scalar	NOUN
cet-9886	90	22	.	.	PUNCT
cet-9886	91	1	the	the	DET
cet-9886	91	2	hu	hu	PROPN
cet-9886	91	3	function	function	PROPN
cet-9886	91	4	is	be	AUX
cet-9886	91	5	a	a	DET
cet-9886	91	6	monotone	monotone	ADJ
cet-9886	91	7	m	m	NOUN
cet-9886	91	8	-	-	NOUN
cet-9886	91	9	estimator	estimator	NOUN
cet-9886	91	10	that	that	PRON
cet-9886	91	11	only	only	ADV
cet-9886	91	12	reduces	reduce	VERB
cet-9886	91	13	the	the	DET
cet-9886	91	14	effect	effect	NOUN
cet-9886	91	15	of	of	ADP
cet-9886	91	16	atypical	atypical	ADJ
cet-9886	91	17	observations	observation	NOUN
cet-9886	91	18	.	.	PUNCT
cet-9886	92	1	in	in	ADP
cet-9886	92	2	contrast	contrast	NOUN
cet-9886	92	3	the	the	DET
cet-9886	92	4	bw	bw	PROPN
cet-9886	92	5	function	function	NOUN
cet-9886	92	6	is	be	AUX
cet-9886	92	7	a	a	DET
cet-9886	92	8	redescendent	redescendent	ADJ
cet-9886	92	9	m	m	NOUN
cet-9886	92	10	-	-	NOUN
cet-9886	92	11	estimator	estimator	NOUN
cet-9886	92	12	that	that	PRON
cet-9886	92	13	eliminates	eliminate	VERB
cet-9886	92	14	the	the	DET
cet-9886	92	15	effect	effect	NOUN
cet-9886	92	16	of	of	ADP
cet-9886	92	17	atypical	atypical	ADJ
cet-9886	92	18	observations	observation	NOUN
cet-9886	92	19	.	.	PUNCT
cet-9886	93	1	when	when	SCONJ
cet-9886	93	2	the	the	DET
cet-9886	93	3	rddr	rddr	NOUN
cet-9886	93	4	problem	problem	NOUN
cet-9886	93	5	is	be	AUX
cet-9886	93	6	solved	solve	VERB
cet-9886	93	7	using	use	VERB
cet-9886	93	8	the	the	DET
cet-9886	93	9	bw	bw	PROPN
cet-9886	93	10	m	m	NOUN
cet-9886	93	11	-	-	NOUN
cet-9886	93	12	estimators	estimator	NOUN
cet-9886	93	13	,	,	PUNCT
cet-9886	93	14	the	the	PRON
cet-9886	93	15	of	of	ADP
cet-9886	93	16	of	of	ADP
cet-9886	93	17	equation	equation	NOUN
cet-9886	93	18	(	(	PUNCT
cet-9886	93	19	4	4	X
cet-9886	93	20	)	)	PUNCT
cet-9886	93	21	is	be	AUX
cet-9886	93	22	replaced	replace	VERB
cet-9886	93	23	by	by	ADP
cet-9886	93	24	the	the	DET
cet-9886	93	25	following	following	NOUN
cet-9886	93	26	:	:	PUNCT
cet-9886	93	27	321	321	NUM
cet-9886	93	28	1	1	NUM
cet-9886	93	29	(	(	PUNCT
cet-9886	93	30	/	/	SYM
cet-9886	93	31	)	)	PUNCT
cet-9886	93	32	1	1	NUM
cet-9886	93	33	bwbw	bwbw	NOUN
cet-9886	93	34	bw	bw	NOUN
cet-9886	93	35	bw	bw	NOUN
cet-9886	93	36	if	if	SCONJ
cet-9886	93	37	a	a	DET
cet-9886	93	38	ca	ca	NOUN
cet-9886	93	39	c	c	NOUN
cet-9886	93	40	if	if	SCONJ
cet-9886	93	41	a	a	DET
cet-9886	93	42	c	c	NOUN
cet-9886	93	43	ρ	ρ	NOUN
cet-9886	93	44			ADP
cet-9886	93	45			PROPN
cet-9886	93	46			NOUN
cet-9886	93	47	≤−	≤−	PROPN
cet-9886	93	48	−	−	PROPN
cet-9886	93	49			NOUN
cet-9886	93	50	=	=	ADJ
cet-9886	93	51			NOUN
cet-9886	93	52	>	>	X
cet-9886	93	53			PROPN
cet-9886	93	54	(	(	PUNCT
cet-9886	93	55	6	6	NUM
cet-9886	93	56	)	)	PUNCT
cet-9886	93	57	where	where	SCONJ
cet-9886	93	58	ρbw	ρbw	NOUN
cet-9886	93	59	stands	stand	VERB
cet-9886	93	60	for	for	ADP
cet-9886	93	61	the	the	DET
cet-9886	93	62	bw	bw	PROPN
cet-9886	93	63	function	function	NOUN
cet-9886	93	64	and	and	CCONJ
cet-9886	93	65	cbw	cbw	PROPN
cet-9886	93	66	is	be	AUX
cet-9886	93	67	a	a	DET
cet-9886	93	68	scalar	scalar	NOUN
cet-9886	93	69	.	.	PUNCT
cet-9886	94	1	due	due	ADP
cet-9886	94	2	to	to	ADP
cet-9886	94	3	the	the	DET
cet-9886	94	4	features	feature	NOUN
cet-9886	94	5	of	of	ADP
cet-9886	94	6	this	this	DET
cet-9886	94	7	function	function	NOUN
cet-9886	94	8	,	,	PUNCT
cet-9886	94	9	a	a	DET
cet-9886	94	10	local	local	ADJ
cet-9886	94	11	optimal	optimal	ADJ
cet-9886	94	12	solution	solution	NOUN
cet-9886	94	13	may	may	AUX
cet-9886	94	14	be	be	AUX
cet-9886	94	15	obtained	obtain	VERB
cet-9886	94	16	.	.	PUNCT
cet-9886	95	1	to	to	PART
cet-9886	95	2	avoid	avoid	VERB
cet-9886	95	3	this	this	DET
cet-9886	95	4	inconvenient	inconvenient	NOUN
cet-9886	95	5	a	a	DET
cet-9886	95	6	good	good	ADJ
cet-9886	95	7	starting	starting	NOUN
cet-9886	95	8	point	point	NOUN
cet-9886	95	9	is	be	AUX
cet-9886	95	10	provided	provide	VERB
cet-9886	95	11	to	to	ADP
cet-9886	95	12	the	the	DET
cet-9886	95	13	second	second	ADJ
cet-9886	95	14	optimization	optimization	NOUN
cet-9886	95	15	problem	problem	NOUN
cet-9886	95	16	.	.	PUNCT
cet-9886	96	1	this	this	DET
cet-9886	96	2	point	point	NOUN
cet-9886	96	3	is	be	AUX
cet-9886	96	4	the	the	DET
cet-9886	96	5	solution	solution	NOUN
cet-9886	96	6	of	of	ADP
cet-9886	96	7	the	the	DET
cet-9886	96	8	one	one	NUM
cet-9886	96	9	defined	define	VERB
cet-9886	96	10	by	by	ADP
cet-9886	96	11	eq	eq	PROPN
cet-9886	96	12	.	.	PUNCT
cet-9886	97	1	(	(	PUNCT
cet-9886	97	2	4	4	NUM
cet-9886	97	3	)	)	PUNCT
cet-9886	97	4	.	.	PUNCT
cet-9886	98	1	both	both	DET
cet-9886	98	2	optimization	optimization	NOUN
cet-9886	98	3	problems	problem	NOUN
cet-9886	98	4	are	be	AUX
cet-9886	98	5	solved	solve	VERB
cet-9886	98	6	using	use	VERB
cet-9886	98	7	a	a	DET
cet-9886	98	8	nonlinear	nonlinear	ADJ
cet-9886	98	9	programming	programming	ADJ
cet-9886	98	10	sequential	sequential	ADJ
cet-9886	98	11	approach	approach	NOUN
cet-9886	98	12	.	.	PUNCT
cet-9886	99	1	2.3.2	2.3.2	NUM
cet-9886	99	2	step	step	NOUN
cet-9886	99	3	2	2	NUM
cet-9886	99	4	:	:	PUNCT
cet-9886	99	5	robust	robust	ADJ
cet-9886	99	6	measurement	measurement	NOUN
cet-9886	99	7	test	test	NOUN
cet-9886	99	8	outliers	outlier	NOUN
cet-9886	99	9	are	be	AUX
cet-9886	99	10	detected	detect	VERB
cet-9886	99	11	by	by	ADP
cet-9886	99	12	a	a	DET
cet-9886	99	13	robust	robust	ADJ
cet-9886	99	14	statistical	statistical	ADJ
cet-9886	99	15	hypothesis	hypothesis	NOUN
cet-9886	99	16	test	test	NOUN
cet-9886	99	17	based	base	VERB
cet-9886	99	18	on	on	ADP
cet-9886	99	19	the	the	DET
cet-9886	99	20	measurement	measurement	NOUN
cet-9886	99	21	test	test	NOUN
cet-9886	99	22	(	(	PUNCT
cet-9886	99	23	tamhane	tamhane	NOUN
cet-9886	99	24	and	and	CCONJ
cet-9886	99	25	mah	mah	NOUN
cet-9886	99	26	,	,	PUNCT
cet-9886	99	27	1982	1982	NUM
cet-9886	99	28	)	)	PUNCT
cet-9886	99	29	.	.	PUNCT
cet-9886	100	1	for	for	ADP
cet-9886	100	2	the	the	DET
cet-9886	100	3	j	j	PROPN
cet-9886	100	4	-	-	PUNCT
cet-9886	100	5	th	th	PROPN
cet-9886	100	6	time	time	NOUN
cet-9886	100	7	interval	interval	NOUN
cet-9886	100	8	,	,	PUNCT
cet-9886	100	9	the	the	DET
cet-9886	100	10	rmt	rmt	NOUN
cet-9886	100	11	associates	associate	VERB
cet-9886	100	12	the	the	DET
cet-9886	100	13	vector	vector	NOUN
cet-9886	100	14	of	of	ADP
cet-9886	100	15	robust	robust	ADJ
cet-9886	100	16	measurement	measurement	NOUN
cet-9886	100	17	adjustments	adjustment	NOUN
cet-9886	100	18	,	,	PUNCT
cet-9886	100	19	r	r	NOUN
cet-9886	100	20	ja	ja	PROPN
cet-9886	100	21	,	,	PUNCT
cet-9886	100	22	with	with	ADP
cet-9886	100	23	the	the	DET
cet-9886	100	24	robust	robust	ADJ
cet-9886	100	25	estimate	estimate	NOUN
cet-9886	100	26	of	of	ADP
cet-9886	100	27	the	the	DET
cet-9886	100	28	adjustment	adjustment	NOUN
cet-9886	100	29	covariance	covariance	NOUN
cet-9886	100	30	matrix	matrix	NOUN
cet-9886	100	31	,	,	PUNCT
cet-9886	100	32			PROPN
cet-9886	100	33	r	r	NOUN
cet-9886	100	34	jq	jq	PROPN
cet-9886	100	35	:	:	PUNCT
cet-9886	101	1	*	*	PUNCT
cet-9886	101	2	ˆr	ˆr	INTJ
cet-9886	101	3	j	j	PROPN
cet-9886	101	4	j	j	PROPN
cet-9886	101	5	j=	j=	PROPN
cet-9886	101	6	−a	−a	NOUN
cet-9886	101	7	y	y	PROPN
cet-9886	101	8	x	x	INTJ
cet-9886	101	9	(	(	PUNCT
cet-9886	101	10	7	7	NUM
cet-9886	101	11	)	)	PUNCT
cet-9886	101	12	(	(	PUNCT
cet-9886	101	13	)	)	PUNCT
cet-9886	101	14	2	2	NUM
cet-9886	101	15	a2	a2	PROPN
cet-9886	101	16	a	a	DET
cet-9886	101	17	2	2	NUM
cet-9886	101	18	a	a	DET
cet-9886	101	19	ˆ	ˆ	NOUN
cet-9886	101	20	(	(	PUNCT
cet-9886	101	21	)	)	PUNCT
cet-9886	101	22	/ˆ	/ˆ	PUNCT
cet-9886	101	23	ˆ	ˆ	NUM
cet-9886	101	24	ˆ	ˆ	NOUN
cet-9886	101	25	'	'	PUNCT
cet-9886	101	26	(	(	PUNCT
cet-9886	101	27	/	/	SYM
cet-9886	101	28	)	)	PUNCT
cet-9886	101	29	t	t	NOUN
cet-9886	101	30	r	r	NOUN
cet-9886	101	31	bw	bw	X
cet-9886	101	32	jr	jr	PROPN
cet-9886	101	33	j	j	PROPN
cet-9886	101	34	r	r	NOUN
cet-9886	101	35	bw	bw	PROPN
cet-9886	102	1	j	j	PROPN
cet-9886	102	2	ave	ave	PROPN
cet-9886	102	3	ave	ave	PROPN
cet-9886	102	4	ψ	ψ	PROPN
cet-9886	102	5	σ	σ	PROPN
cet-9886	102	6	σ	σ	PROPN
cet-9886	102	7	ψ	ψ	PROPN
cet-9886	102	8	σ	σ	X
cet-9886	102	9			NOUN
cet-9886	102	10			VERB
cet-9886	102	11			NOUN
cet-9886	102	12			NOUN
cet-9886	102	13	=	=	ADJ
cet-9886	103	1			NUM
cet-9886	103	2			NOUN
cet-9886	103	3			PROPN
cet-9886	103	4			PROPN
cet-9886	103	5			NOUN
cet-9886	103	6			NOUN
cet-9886	103	7			PROPN
cet-9886	103	8	a	a	DET
cet-9886	103	9	q	q	X
cet-9886	103	10	a	a	DET
cet-9886	103	11	(	(	PUNCT
cet-9886	103	12	8)	8)	NUM
cet-9886	103	13	where	where	SCONJ
cet-9886	103	14	r	r	NOUN
cet-9886	103	15	ja	ja	PROPN
cet-9886	103	16	is	be	AUX
cet-9886	103	17	a	a	DET
cet-9886	103	18	matrix	matrix	NOUN
cet-9886	103	19	of	of	ADP
cet-9886	103	20	dimension	dimension	NOUN
cet-9886	103	21	[	[	X
cet-9886	103	22	i	i	NOUN
cet-9886	103	23	x	x	X
cet-9886	103	24	m	m	VERB
cet-9886	103	25	]	]	X
cet-9886	103	26	that	that	PRON
cet-9886	103	27	contains	contain	VERB
cet-9886	103	28	the	the	DET
cet-9886	103	29	last	last	ADJ
cet-9886	103	30	m	m	NOUN
cet-9886	103	31	ra	ra	NOUN
cet-9886	103	32	vectors	vector	NOUN
cet-9886	103	33	,	,	PUNCT
cet-9886	103	34			VERB
cet-9886	103	35	aσ	aσ	NOUN
cet-9886	103	36	is	be	AUX
cet-9886	103	37	a	a	DET
cet-9886	103	38	scale	scale	NOUN
cet-9886	103	39	estimate	estimate	NOUN
cet-9886	103	40	vector	vector	NOUN
cet-9886	103	41	and	and	CCONJ
cet-9886	103	42	*	*	NOUN
cet-9886	103	43	ˆ	ˆ	X
cet-9886	103	44	jx	jx	PROPN
cet-9886	103	45	is	be	AUX
cet-9886	103	46	an	an	DET
cet-9886	103	47	estimation	estimation	NOUN
cet-9886	103	48	of	of	ADP
cet-9886	103	49	ˆ	ˆ	NOUN
cet-9886	103	50	r	r	NOUN
cet-9886	103	51	jx	jx	PROPN
cet-9886	103	52	.	.	PUNCT
cet-9886	104	1	the	the	DET
cet-9886	104	2	relation	relation	NOUN
cet-9886	104	3	between	between	ADP
cet-9886	104	4	r	r	NOUN
cet-9886	104	5	ija	ija	PROPN
cet-9886	104	6	and	and	CCONJ
cet-9886	104	7	the	the	DET
cet-9886	104	8	i	i	PROPN
cet-9886	104	9	-	-	PUNCT
cet-9886	104	10	th	th	X
cet-9886	104	11	diagonal	diagonal	ADJ
cet-9886	104	12	element	element	NOUN
cet-9886	104	13	of	of	ADP
cet-9886	104	14			PROPN
cet-9886	104	15	r	r	PROPN
cet-9886	104	16	jq	jq	PROPN
cet-9886	104	17	,	,	PUNCT
cet-9886	104	18	ˆ	ˆ	PROPN
cet-9886	104	19	r	r	NOUN
cet-9886	104	20	j	j	PROPN
cet-9886	104	21	ii	ii	PROPN
cet-9886	104	22	q	q	PROPN
cet-9886	104	23	,	,	PUNCT
cet-9886	104	24	gives	give	VERB
cet-9886	104	25	the	the	DET
cet-9886	104	26	following	follow	VERB
cet-9886	104	27	statistic	statistic	NOUN
cet-9886	104	28	:	:	PUNCT
cet-9886	104	29	,	,	PUNCT
cet-9886	104	30	ˆ	ˆ	PRON
cet-9886	104	31	ˆ	ˆ	NOUN
cet-9886	104	32	r	r	NOUN
cet-9886	104	33	ijr	ijr	NOUN
cet-9886	105	1	i	i	PRON
cet-9886	105	2	j	j	PROPN
cet-9886	106	1	d	d	X
cet-9886	106	2	f	f	PROPN
cet-9886	106	3	r	r	NOUN
cet-9886	106	4	j	j	PROPN
cet-9886	106	5	ii	ii	PROPN
cet-9886	106	6	a	a	DET
cet-9886	106	7	t	t	PROPN
cet-9886	106	8	q	q	X
cet-9886	106	9	τ	τ	PROPN
cet-9886	106	10	=	=	SYM
cet-9886	106	11			PROPN
cet-9886	106	12	(	(	PUNCT
cet-9886	106	13	9	9	NUM
cet-9886	106	14	)	)	PUNCT
cet-9886	106	15	which	which	PRON
cet-9886	106	16	follows	follow	VERB
cet-9886	106	17	the	the	DET
cet-9886	106	18	student	student	NOUN
cet-9886	106	19	distribution	distribution	NOUN
cet-9886	106	20	with	with	ADP
cet-9886	106	21	a	a	DET
cet-9886	106	22	number	number	NOUN
cet-9886	106	23	of	of	ADP
cet-9886	106	24	degrees	degree	NOUN
cet-9886	106	25	of	of	ADP
cet-9886	106	26	freedom	freedom	NOUN
cet-9886	106	27	,	,	PUNCT
cet-9886	106	28	df	df	PROPN
cet-9886	106	29	=	=	NOUN
cet-9886	106	30	m-1	m-1	NOUN
cet-9886	106	31	.	.	PUNCT
cet-9886	107	1	to	to	PART
cet-9886	107	2	provide	provide	VERB
cet-9886	107	3	good	good	ADJ
cet-9886	107	4	results	result	NOUN
cet-9886	107	5	the	the	DET
cet-9886	107	6	parameter	parameter	NOUN
cet-9886	107	7	m	m	VERB
cet-9886	107	8	is	be	AUX
cet-9886	107	9	set	set	VERB
cet-9886	107	10	at	at	ADP
cet-9886	107	11	values	value	NOUN
cet-9886	107	12	next	next	ADV
cet-9886	107	13	to	to	ADP
cet-9886	107	14	30	30	NUM
cet-9886	107	15	(	(	PUNCT
cet-9886	107	16	llanos	llanos	PROPN
cet-9886	107	17	,	,	PUNCT
cet-9886	107	18	thesis	thesis	NOUN
cet-9886	107	19	2018	2018	NUM
cet-9886	107	20	)	)	PUNCT
cet-9886	107	21	.	.	PUNCT
cet-9886	108	1	the	the	DET
cet-9886	108	2	level	level	NOUN
cet-9886	108	3	of	of	ADP
cet-9886	108	4	significance	significance	NOUN
cet-9886	108	5	of	of	ADP
cet-9886	108	6	the	the	DET
cet-9886	108	7	test	test	NOUN
cet-9886	108	8	is	be	AUX
cet-9886	108	9	set	set	VERB
cet-9886	108	10	at	at	ADP
cet-9886	108	11	α=0.05	α=0.05	NOUN
cet-9886	108	12	,	,	PUNCT
cet-9886	108	13	and	and	CCONJ
cet-9886	108	14	it	it	PRON
cet-9886	108	15	fixes	fix	VERB
cet-9886	108	16	the	the	DET
cet-9886	108	17	critical	critical	ADJ
cet-9886	108	18	statistic	statistic	NOUN
cet-9886	108	19	value	value	NOUN
cet-9886	108	20	tc	tc	NOUN
cet-9886	108	21	.	.	NOUN
cet-9886	108	22	723	723	NUM
cet-9886	108	23	2.3.3	2.3.3	NUM
cet-9886	108	24	algorithm	algorithm	NOUN
cet-9886	108	25	description	description	NOUN
cet-9886	108	26	set	set	NOUN
cet-9886	108	27	:	:	PUNCT
cet-9886	108	28	maximum	maximum	ADJ
cet-9886	108	29	number	number	NOUN
cet-9886	108	30	of	of	ADP
cet-9886	108	31	iteration	iteration	NOUN
cet-9886	108	32	smax=300	smax=300	PROPN
cet-9886	108	33	,	,	PUNCT
cet-9886	108	34	tolerance	tolerance	NOUN
cet-9886	108	35	ɛ=1x10	ɛ=1x10	PROPN
cet-9886	108	36	-	-	PUNCT
cet-9886	108	37	8	8	NUM
cet-9886	108	38	.	.	PUNCT
cet-9886	109	1	do	do	VERB
cet-9886	109	2	the	the	DET
cet-9886	109	3	following	follow	VERB
cet-9886	109	4	procedure	procedure	NOUN
cet-9886	109	5	to	to	PART
cet-9886	109	6	obtain	obtain	VERB
cet-9886	109	7	reliable	reliable	ADJ
cet-9886	109	8	estimates	estimate	NOUN
cet-9886	109	9	and	and	CCONJ
cet-9886	109	10	detect	detect	VERB
cet-9886	109	11	the	the	DET
cet-9886	109	12	presence	presence	NOUN
cet-9886	109	13	of	of	ADP
cet-9886	109	14	outliers	outlier	NOUN
cet-9886	109	15	for	for	ADP
cet-9886	109	16	the	the	DET
cet-9886	109	17	time	time	NOUN
cet-9886	109	18	interval	interval	NOUN
cet-9886	109	19	[	[	X
cet-9886	109	20	1	1	NUM
cet-9886	109	21	,	,	PUNCT
cet-9886	109	22	j	j	PROPN
cet-9886	109	23	-	-	PUNCT
cet-9886	109	24	n	n	PRON
cet-9886	109	25	]	]	X
cet-9886	109	26	,	,	PUNCT
cet-9886	109	27	where	where	SCONJ
cet-9886	109	28	j	j	PROPN
cet-9886	109	29	is	be	AUX
cet-9886	109	30	the	the	DET
cet-9886	109	31	number	number	NOUN
cet-9886	109	32	of	of	ADP
cet-9886	109	33	available	available	ADJ
cet-9886	109	34	measurement	measurement	NOUN
cet-9886	109	35	vectors	vector	NOUN
cet-9886	109	36	:	:	PUNCT
cet-9886	109	37	for	for	ADP
cet-9886	109	38	j=(n+1	j=(n+1	PROPN
cet-9886	109	39	)	)	PUNCT
cet-9886	109	40	:	:	PUNCT
cet-9886	110	1	j	j	PROPN
cet-9886	110	2	a	a	X
cet-9886	110	3	)	)	PUNCT
cet-9886	110	4	read	read	NOUN
cet-9886	110	5	x0j	x0j	PROPN
cet-9886	111	1	1ixr∈	1ixr∈	NUM
cet-9886	111	2	b	b	X
cet-9886	111	3	)	)	PUNCT
cet-9886	111	4	update	update	NOUN
cet-9886	111	5	the	the	DET
cet-9886	111	6	mw	mw	PROPN
cet-9886	111	7	.	.	PROPN
cet-9886	111	8	define	define	VERB
cet-9886	111	9	yob	yob	PROPN
cet-9886	111	10	ixnr∈	ixnr∈	PROPN
cet-9886	111	11	as	as	ADP
cet-9886	111	12	the	the	DET
cet-9886	111	13	matrix	matrix	NOUN
cet-9886	111	14	which	which	PRON
cet-9886	111	15	includes	include	VERB
cet-9886	111	16	the	the	DET
cet-9886	111	17	last	last	ADJ
cet-9886	111	18	n	n	NOUN
cet-9886	111	19	measurements	measurement	VERB
cet-9886	111	20	vectors	vector	NOUN
cet-9886	111	21	c	c	NOUN
cet-9886	111	22	)	)	PUNCT
cet-9886	111	23	define	define	VERB
cet-9886	111	24	yob0	yob0	NOUN
cet-9886	111	25	(	(	PUNCT
cet-9886	111	26	1)ix	1)ix	PROPN
cet-9886	111	27	nr	nr	PROPN
cet-9886	111	28	+	+	NOUN
cet-9886	111	29	∈	∈	PROPN
cet-9886	111	30	as	as	ADP
cet-9886	111	31	yob0=	yob0=	PROPN
cet-9886	112	1	[	[	X
cet-9886	112	2	x0	x0	PROPN
cet-9886	112	3	yob	yob	X
cet-9886	112	4	]	]	X
cet-9886	112	5	d	d	X
cet-9886	112	6	)	)	PUNCT
cet-9886	112	7	solve	solve	VERB
cet-9886	112	8	the	the	DET
cet-9886	112	9	robust	robust	ADJ
cet-9886	112	10	estimation	estimation	NOUN
cet-9886	112	11	using	use	VERB
cet-9886	112	12	the	the	DET
cet-9886	112	13	following	follow	VERB
cet-9886	112	14	iterative	iterative	NOUN
cet-9886	112	15	scheme	scheme	NOUN
cet-9886	112	16	i	i	NOUN
cet-9886	112	17	)	)	PUNCT
cet-9886	112	18	initialize	initialize	VERB
cet-9886	112	19	s=0	s=0	PROPN
cet-9886	112	20	and	and	CCONJ
cet-9886	112	21	the	the	DET
cet-9886	112	22	elements	element	NOUN
cet-9886	112	23	of	of	ADP
cet-9886	112	24	the	the	DET
cet-9886	112	25	residue	residue	NOUN
cet-9886	112	26	matrix	matrix	NOUN
cet-9886	112	27	r0	r0	NOUN
cet-9886	112	28	(	(	PUNCT
cet-9886	112	29	1)ix	1)ix	PROPN
cet-9886	112	30	nr	nr	PROPN
cet-9886	112	31	+	+	NOUN
cet-9886	112	32	∈	∈	PROPN
cet-9886	112	33	at	at	ADP
cet-9886	112	34	100	100	NUM
cet-9886	112	35	ii	ii	NOUN
cet-9886	112	36	)	)	PUNCT
cet-9886	112	37	while	while	SCONJ
cet-9886	112	38	s	s	PART
cet-9886	112	39	<	<	X
cet-9886	112	40	smax	smax	PROPN
cet-9886	112	41	or	or	CCONJ
cet-9886	112	42	max(rs)>ɛ	max(rs)>ɛ	PRON
cet-9886	112	43	(	(	PUNCT
cet-9886	112	44	a	a	X
cet-9886	112	45	)	)	PUNCT
cet-9886	112	46	s	s	NOUN
cet-9886	112	47	=	=	X
cet-9886	112	48	s+1	s+1	PROPN
cet-9886	112	49	(	(	PUNCT
cet-9886	112	50	b	b	NOUN
cet-9886	112	51	)	)	PUNCT
cet-9886	112	52	solve	solve	VERB
cet-9886	112	53	the	the	DET
cet-9886	112	54	unrestricted	unrestricted	ADJ
cet-9886	112	55	optimization	optimization	NOUN
cet-9886	112	56	problem	problem	NOUN
cet-9886	112	57	using	use	VERB
cet-9886	112	58	as	as	ADP
cet-9886	112	59	initial	initial	ADJ
cet-9886	112	60	value	value	NOUN
cet-9886	112	61	yob0	yob0	PROPN
cet-9886	112	62	.	.	PUNCT
cet-9886	113	1	this	this	DET
cet-9886	113	2	problem	problem	NOUN
cet-9886	113	3	solution	solution	NOUN
cet-9886	113	4	is	be	AUX
cet-9886	113	5	called	call	VERB
cet-9886	113	6	,	,	PUNCT
cet-9886	113	7	sρx	sρx	ADJ
cet-9886	113	8	(	(	PUNCT
cet-9886	113	9	1)ix	1)ix	PROPN
cet-9886	113	10	nr	nr	PROPN
cet-9886	113	11	+	+	PROPN
cet-9886	113	12	∈	∈	PROPN
cet-9886	113	13	(	(	PUNCT
cet-9886	113	14	c	c	NOUN
cet-9886	113	15	)	)	PUNCT
cet-9886	113	16	solve	solve	VERB
cet-9886	113	17	the	the	DET
cet-9886	113	18	model	model	NOUN
cet-9886	113	19	with	with	ADP
cet-9886	113	20	ode	ode	PROPN
cet-9886	113	21	45	45	NUM
cet-9886	113	22	in	in	ADP
cet-9886	113	23	the	the	DET
cet-9886	113	24	interval	interval	NOUN
cet-9886	114	1	[	[	X
cet-9886	114	2	j	j	PROPN
cet-9886	114	3	-	-	PUNCT
cet-9886	114	4	n	n	CCONJ
cet-9886	114	5	,	,	PUNCT
cet-9886	114	6	j	j	NOUN
cet-9886	114	7	]	]	PUNCT
cet-9886	114	8	using	use	VERB
cet-9886	114	9	as	as	ADP
cet-9886	114	10	starting	start	VERB
cet-9886	114	11	point	point	NOUN
cet-9886	114	12	(	(	PUNCT
cet-9886	114	13	)	)	PUNCT
cet-9886	114	14	,	,	PUNCT
cet-9886	114	15	,	,	PUNCT
cet-9886	114	16	1s	1s	NUM
cet-9886	114	17	i	i	PRON
cet-9886	114	18	iρ	iρ	VERB
cet-9886	114	19	∀x	∀x	ADV
cet-9886	114	20	.	.	PUNCT
cet-9886	115	1	this	this	DET
cet-9886	115	2	problem	problem	NOUN
cet-9886	115	3	solution	solution	NOUN
cet-9886	115	4	is	be	AUX
cet-9886	115	5	called	call	VERB
cet-9886	115	6	xmod	xmod	PROPN
cet-9886	115	7	,	,	PUNCT
cet-9886	115	8	s	s	PART
cet-9886	115	9	(	(	PUNCT
cet-9886	115	10	1)ix	1)ix	PROPN
cet-9886	115	11	nr	nr	PROPN
cet-9886	115	12	+	+	PROPN
cet-9886	115	13	∈	∈	PROPN
cet-9886	115	14	(	(	PUNCT
cet-9886	115	15	d	d	NOUN
cet-9886	115	16	)	)	PUNCT
cet-9886	115	17	calculate	calculate	VERB
cet-9886	115	18	the	the	DET
cet-9886	115	19	difference	difference	NOUN
cet-9886	115	20	,	,	PUNCT
cet-9886	115	21	mod	mod	PROPN
cet-9886	115	22	,	,	PUNCT
cet-9886	115	23	ss	ss	PROPN
cet-9886	115	24	sρ=	sρ=	PROPN
cet-9886	115	25	−xr	−xr	PROPN
cet-9886	115	26	x	x	PROPN
cet-9886	115	27	;	;	PUNCT
cet-9886	115	28	end	end	NOUN
cet-9886	115	29	iii	iii	NOUN
cet-9886	115	30	)	)	PUNCT
cet-9886	115	31	save	save	VERB
cet-9886	115	32	the	the	DET
cet-9886	115	33	reconciled	reconcile	VERB
cet-9886	115	34	value	value	NOUN
cet-9886	115	35	:	:	PUNCT
cet-9886	115	36	(	(	PUNCT
cet-9886	115	37	)	)	PUNCT
cet-9886	115	38	modˆ	modˆ	NOUN
cet-9886	115	39	,	,	PUNCT
cet-9886	115	40	(	(	PUNCT
cet-9886	115	41	,	,	PUNCT
cet-9886	115	42	1)r	1)r	NUM
cet-9886	115	43	i	i	PRON
cet-9886	115	44	j	j	PROPN
cet-9886	115	45	n	n	CCONJ
cet-9886	115	46	i−	i−	PROPN
cet-9886	115	47	=	=	NOUN
cet-9886	115	48	x	x	SYM
cet-9886	115	49	x	x	SYM
cet-9886	115	50	i∀	i∀	PROPN
cet-9886	115	51	iv	iv	NUM
cet-9886	115	52	)	)	PUNCT
cet-9886	115	53	save	save	VERB
cet-9886	115	54	the	the	DET
cet-9886	115	55	new	new	ADJ
cet-9886	115	56	starting	starting	NOUN
cet-9886	115	57	point	point	NOUN
cet-9886	115	58	(	(	PUNCT
cet-9886	115	59	)	)	PUNCT
cet-9886	115	60	0	0	NUM
cet-9886	115	61	mod	mod	PROPN
cet-9886	115	62	,	,	PUNCT
cet-9886	115	63	1	1	NUM
cet-9886	115	64	(	(	PUNCT
cet-9886	115	65	,	,	PUNCT
cet-9886	115	66	2)i	2)i	NUM
cet-9886	115	67	j	j	NOUN
cet-9886	115	68	i+	i+	PUNCT
cet-9886	116	1	=	=	NOUN
cet-9886	116	2	x	x	SYM
cet-9886	116	3	x	x	X
cet-9886	116	4	i∀	i∀	PROPN
cet-9886	116	5	v	v	NOUN
cet-9886	116	6	)	)	PUNCT
cet-9886	116	7	save	save	VERB
cet-9886	116	8	the	the	DET
cet-9886	116	9	approximation	approximation	NOUN
cet-9886	116	10	of	of	ADP
cet-9886	116	11	the	the	DET
cet-9886	116	12	estimated	estimate	VERB
cet-9886	116	13	value	value	NOUN
cet-9886	116	14	(	(	PUNCT
cet-9886	117	1	)	)	PUNCT
cet-9886	117	2	*	*	PUNCT
cet-9886	117	3	mod	mod	PROPN
cet-9886	117	4	,	,	PUNCT
cet-9886	117	5	(	(	PUNCT
cet-9886	117	6	,	,	PUNCT
cet-9886	117	7	1)i	1)i	NUM
cet-9886	117	8	j	j	PROPN
cet-9886	118	1	i	i	PRON
cet-9886	118	2	n=	n=	VERB
cet-9886	119	1	+	+	ADP
cet-9886	119	2	x	x	SYM
cet-9886	119	3	x	x	X
cet-9886	119	4	i∀	i∀	PROPN
cet-9886	119	5	vi	vi	PROPN
cet-9886	119	6	)	)	PUNCT
cet-9886	119	7	apply	apply	VERB
cet-9886	119	8	the	the	DET
cet-9886	119	9	rmt	rmt	NOUN
cet-9886	119	10	i∀	i∀	PROPN
cet-9886	119	11	and	and	CCONJ
cet-9886	119	12	compare	compare	VERB
cet-9886	119	13	each	each	PRON
cet-9886	119	14	,	,	PUNCT
cet-9886	119	15	ˆr	ˆr	INTJ
cet-9886	119	16	i	i	PRON
cet-9886	119	17	jτ	jτ	VERB
cet-9886	119	18	with	with	ADP
cet-9886	119	19	tc	tc	NOUN
cet-9886	119	20	.	.	PUNCT
cet-9886	120	1	if	if	SCONJ
cet-9886	120	2	,	,	PUNCT
cet-9886	120	3	ˆr	ˆr	INTJ
cet-9886	120	4	i	i	PRON
cet-9886	120	5	jτ	jτ	INTJ
cet-9886	120	6	>	>	X
cet-9886	120	7	tc	tc	PROPN
cet-9886	120	8	,	,	PUNCT
cet-9886	120	9	an	an	DET
cet-9886	120	10	outlier	outlier	NOUN
cet-9886	120	11	is	be	AUX
cet-9886	120	12	detected	detect	VERB
cet-9886	120	13	for	for	ADP
cet-9886	120	14	the	the	DET
cet-9886	120	15	i	i	PROPN
cet-9886	120	16	-	-	PUNCT
cet-9886	120	17	th	th	X
cet-9886	120	18	variable	variable	NOUN
cet-9886	120	19	at	at	ADP
cet-9886	120	20	the	the	DET
cet-9886	120	21	j	j	PROPN
cet-9886	120	22	-	-	PUNCT
cet-9886	120	23	th	th	VERB
cet-9886	120	24	time	time	NOUN
cet-9886	120	25	interval	interval	NOUN
cet-9886	120	26	end	end	VERB
cet-9886	121	1	3	3	NUM
cet-9886	121	2	.	.	PUNCT
cet-9886	121	3	performance	performance	NOUN
cet-9886	121	4	analysis	analysis	NOUN
cet-9886	121	5	two	two	NUM
cet-9886	121	6	cases	case	NOUN
cet-9886	121	7	studies	study	NOUN
cet-9886	121	8	are	be	AUX
cet-9886	121	9	proposed	propose	VERB
cet-9886	121	10	.	.	PUNCT
cet-9886	122	1	for	for	ADP
cet-9886	122	2	case	case	NOUN
cet-9886	122	3	1	1	NUM
cet-9886	122	4	,	,	PUNCT
cet-9886	122	5	the	the	DET
cet-9886	122	6	rddr	rddr	NOUN
cet-9886	122	7	uses	use	VERB
cet-9886	122	8	the	the	DET
cet-9886	122	9	hu	hu	PROPN
cet-9886	122	10	estimator	estimator	NOUN
cet-9886	122	11	.	.	PUNCT
cet-9886	123	1	regarding	regard	VERB
cet-9886	123	2	case	case	NOUN
cet-9886	123	3	2	2	NUM
cet-9886	123	4	,	,	PUNCT
cet-9886	123	5	the	the	DET
cet-9886	123	6	bw	bw	PROPN
cet-9886	123	7	function	function	NOUN
cet-9886	123	8	is	be	AUX
cet-9886	123	9	applied	apply	VERB
cet-9886	123	10	employing	employ	VERB
cet-9886	123	11	as	as	ADP
cet-9886	123	12	starting	start	VERB
cet-9886	123	13	point	point	NOUN
cet-9886	123	14	the	the	DET
cet-9886	123	15	solution	solution	NOUN
cet-9886	123	16	obtained	obtain	VERB
cet-9886	123	17	with	with	ADP
cet-9886	123	18	the	the	DET
cet-9886	123	19	hu	hu	PROPN
cet-9886	123	20	function	function	PROPN
cet-9886	123	21	.	.	PUNCT
cet-9886	124	1	one	one	NUM
cet-9886	124	2	thousand	thousand	NUM
cet-9886	124	3	simulation	simulation	NOUN
cet-9886	124	4	trials	trial	NOUN
cet-9886	124	5	are	be	AUX
cet-9886	124	6	run	run	VERB
cet-9886	124	7	for	for	ADP
cet-9886	124	8	each	each	DET
cet-9886	124	9	case	case	NOUN
cet-9886	124	10	study	study	NOUN
cet-9886	124	11	.	.	PUNCT
cet-9886	125	1	furthermore	furthermore	ADV
cet-9886	125	2	,	,	PUNCT
cet-9886	125	3	90	90	NUM
cet-9886	125	4	%	%	NOUN
cet-9886	125	5	of	of	ADP
cet-9886	125	6	the	the	DET
cet-9886	125	7	measurements	measurement	NOUN
cet-9886	125	8	are	be	AUX
cet-9886	125	9	simulated	simulate	VERB
cet-9886	125	10	with	with	ADP
cet-9886	125	11	a	a	DET
cet-9886	125	12	standard	standard	ADJ
cet-9886	125	13	deviation	deviation	NOUN
cet-9886	125	14	of	of	ADP
cet-9886	125	15	5	5	NUM
cet-9886	125	16	%	%	NOUN
cet-9886	125	17	with	with	ADP
cet-9886	125	18	respect	respect	NOUN
cet-9886	125	19	to	to	ADP
cet-9886	125	20	the	the	DET
cet-9886	125	21	scaled	scale	VERB
cet-9886	125	22	variable	variable	ADJ
cet-9886	125	23	values	value	NOUN
cet-9886	125	24	,	,	PUNCT
cet-9886	125	25	while	while	SCONJ
cet-9886	125	26	10	10	NUM
cet-9886	125	27	%	%	NOUN
cet-9886	125	28	are	be	AUX
cet-9886	125	29	outliers	outlier	NOUN
cet-9886	125	30	of	of	ADP
cet-9886	125	31	magnitude	magnitude	NOUN
cet-9886	125	32	k=10	k=10	PROPN
cet-9886	125	33	randomly	randomly	ADV
cet-9886	125	34	located	locate	VERB
cet-9886	125	35	.	.	PUNCT
cet-9886	126	1	the	the	DET
cet-9886	126	2	selected	select	VERB
cet-9886	126	3	performance	performance	NOUN
cet-9886	126	4	measures	measure	NOUN
cet-9886	126	5	are	be	AUX
cet-9886	126	6	the	the	DET
cet-9886	126	7	mean	mean	ADJ
cet-9886	126	8	square	square	NOUN
cet-9886	126	9	error	error	NOUN
cet-9886	126	10	(	(	PUNCT
cet-9886	126	11	mse	mse	NOUN
cet-9886	126	12	)	)	PUNCT
cet-9886	126	13	,	,	PUNCT
cet-9886	126	14	the	the	DET
cet-9886	126	15	percentages	percentage	NOUN
cet-9886	126	16	of	of	ADP
cet-9886	126	17	detection	detection	NOUN
cet-9886	126	18	and	and	CCONJ
cet-9886	126	19	false	false	ADJ
cet-9886	126	20	alarms	alarm	NOUN
cet-9886	126	21	(	(	PUNCT
cet-9886	126	22	%	%	INTJ
cet-9886	126	23	dt	dt	X
cet-9886	126	24	-%fa	-%fa	NOUN
cet-9886	126	25	)	)	PUNCT
cet-9886	126	26	which	which	PRON
cet-9886	126	27	are	be	AUX
cet-9886	126	28	defined	define	VERB
cet-9886	126	29	as	as	ADP
cet-9886	126	30	follows	follow	VERB
cet-9886	126	31	(	(	PUNCT
cet-9886	126	32	)	)	PUNCT
cet-9886	126	33	2	2	NUM
cet-9886	126	34	1	1	NUM
cet-9886	126	35	1	1	NUM
cet-9886	126	36	,	,	PUNCT
cet-9886	126	37	ˆ1	ˆ1	NOUN
cet-9886	126	38	=	=	SYM
cet-9886	126	39	,	,	PUNCT
cet-9886	126	40	rj	rj	PROPN
cet-9886	127	1	i	i	INTJ
cet-9886	127	2	ij	ij	INTJ
cet-9886	128	1	i	i	PRON
cet-9886	128	2	j	j	VERB
cet-9886	129	1	i	i	PRON
cet-9886	129	2	y	y	VERB
cet-9886	130	1	i	i	VERB
cet-9886	130	2	x	x	PUNCT
cet-9886	130	3	x	x	X
cet-9886	130	4	mse	mse	PROPN
cet-9886	131	1	i	i	NOUN
cet-9886	131	2	j	j	PROPN
cet-9886	131	3	n	n	CCONJ
cet-9886	131	4	sim	sim	VERB
cet-9886	131	5	σ=	σ=	NOUN
cet-9886	131	6	=	=	SYM
cet-9886	131	7			NOUN
cet-9886	131	8	−	−	NOUN
cet-9886	132	1			PROPN
cet-9886	132	2			X
cet-9886	132	3	−	−	PUNCT
cet-9886	133	1			PROPN
cet-9886	133	2			PROPN
cet-9886	133	3			X
cet-9886	133	4	(	(	PUNCT
cet-9886	133	5	10	10	NUM
cet-9886	133	6	)	)	PUNCT
cet-9886	133	7	where	where	SCONJ
cet-9886	133	8	sim	sim	NOUN
cet-9886	133	9	stands	stand	VERB
cet-9886	133	10	for	for	ADP
cet-9886	133	11	the	the	DET
cet-9886	133	12	simulation	simulation	NOUN
cet-9886	133	13	trials	trial	NOUN
cet-9886	133	14	.	.	PUNCT
cet-9886	134	1	%	%	INTJ
cet-9886	134	2	100outliers	100outlier	NOUN
cet-9886	134	3	correctly	correctly	ADV
cet-9886	134	4	detecteddt	detecteddt	PROPN
cet-9886	134	5	simulated	simulate	VERB
cet-9886	134	6	out	out	ADP
cet-9886	134	7	=	=	PUNCT
cet-9886	134	8	(	(	PUNCT
cet-9886	134	9	11	11	NUM
cet-9886	134	10	)	)	PUNCT
cet-9886	134	11	(	(	PUNCT
cet-9886	134	12	)	)	PUNCT
cet-9886	134	13	%	%	INTJ
cet-9886	134	14	100false	100false	NUM
cet-9886	134	15	outliers	outlier	NOUN
cet-9886	134	16	alarmsfa	alarmsfa	NOUN
cet-9886	135	1	i	i	PRON
cet-9886	135	2	j	j	PROPN
cet-9886	135	3	n	n	CCONJ
cet-9886	135	4	sim	sim	VERB
cet-9886	135	5	=	=	PUNCT
cet-9886	135	6	−	−	PROPN
cet-9886	135	7	(	(	PUNCT
cet-9886	135	8	12	12	NUM
cet-9886	135	9	)	)	PUNCT
cet-9886	135	10	based	base	VERB
cet-9886	135	11	on	on	ADP
cet-9886	135	12	previous	previous	ADJ
cet-9886	135	13	research	research	NOUN
cet-9886	135	14	,	,	PUNCT
cet-9886	135	15	horizon	horizon	NOUN
cet-9886	135	16	lengths	length	NOUN
cet-9886	135	17	of	of	ADP
cet-9886	135	18	magnitude	magnitude	NOUN
cet-9886	135	19	5	5	NUM
cet-9886	135	20	and	and	CCONJ
cet-9886	135	21	10	10	NUM
cet-9886	135	22	are	be	AUX
cet-9886	135	23	considered	consider	VERB
cet-9886	135	24	and	and	CCONJ
cet-9886	135	25	m	m	VERB
cet-9886	135	26	is	be	AUX
cet-9886	135	27	selected	select	VERB
cet-9886	135	28	at	at	ADP
cet-9886	135	29	30	30	NUM
cet-9886	135	30	.	.	PUNCT
cet-9886	136	1	4	4	NUM
cet-9886	136	2	.	.	NOUN
cet-9886	136	3	results	result	VERB
cet-9886	136	4	the	the	DET
cet-9886	136	5	methodology	methodology	NOUN
cet-9886	136	6	is	be	AUX
cet-9886	136	7	applied	apply	VERB
cet-9886	136	8	to	to	ADP
cet-9886	136	9	an	an	DET
cet-9886	136	10	adiabatic	adiabatic	ADJ
cet-9886	136	11	cstr	cstr	NOUN
cet-9886	136	12	with	with	ADP
cet-9886	136	13	a	a	DET
cet-9886	136	14	first	first	ADJ
cet-9886	136	15	order	order	NOUN
cet-9886	136	16	exothermic	exothermic	ADJ
cet-9886	136	17	reactor	reactor	NOUN
cet-9886	136	18	.	.	PUNCT
cet-9886	137	1	this	this	DET
cet-9886	137	2	nonlinear	nonlinear	ADJ
cet-9886	137	3	model	model	NOUN
cet-9886	137	4	comprises	comprise	VERB
cet-9886	137	5	4	4	NUM
cet-9886	137	6	states	state	NOUN
cet-9886	137	7	variables	variable	NOUN
cet-9886	137	8	,	,	PUNCT
cet-9886	137	9	two	two	NUM
cet-9886	137	10	differential	differential	ADJ
cet-9886	137	11	equations	equation	NOUN
cet-9886	137	12	and	and	CCONJ
cet-9886	137	13	10	10	NUM
cet-9886	137	14	parameters	parameter	NOUN
cet-9886	137	15	,	,	PUNCT
cet-9886	137	16	whose	whose	DET
cet-9886	137	17	values	value	NOUN
cet-9886	137	18	are	be	AUX
cet-9886	137	19	extracted	extract	VERB
cet-9886	137	20	from	from	ADP
cet-9886	137	21	liebman	liebman	PROPN
cet-9886	137	22	et	et	PROPN
cet-9886	137	23	al	al	PROPN
cet-9886	137	24	.	.	PROPN
cet-9886	138	1	(	(	PUNCT
cet-9886	138	2	1992	1992	NUM
cet-9886	138	3	):	):	PUNCT
cet-9886	138	4	724	724	NUM
cet-9886	138	5	a	a	DET
cet-9886	138	6	t	t	NOUN
cet-9886	138	7	t	t	NOUN
cet-9886	138	8	a	a	DET
cet-9886	138	9	0	0	NUM
cet-9886	138	10	0	0	NUM
cet-9886	138	11	0	0	NUM
cet-9886	138	12	(	(	PUNCT
cet-9886	138	13	)	)	PUNCT
cet-9886	138	14	(	(	PUNCT
cet-9886	138	15	)	)	PUNCT
cet-9886	139	1	(	(	PUNCT
cet-9886	139	2	)	)	PUNCT
cet-9886	139	3	ex	ex	X
cet-9886	139	4	p	p	NOUN
cet-9886	140	1	d	d	NOUN
cet-9886	140	2	r	r	NOUN
cet-9886	140	3	r	r	NOUN
cet-9886	140	4	r	r	NOUN
cet-9886	140	5	d	d	NOUN
cet-9886	140	6	c	c	NOUN
cet-9886	140	7	p	p	NOUN
cet-9886	140	8	r	r	NOUN
cet-9886	140	9	p	p	NOUN
cet-9886	140	10	a	a	DET
cet-9886	140	11	r	r	NOUN
cet-9886	140	12	da	da	NOUN
cet-9886	140	13	q	q	NOUN
cet-9886	140	14	a	a	PRON
cet-9886	140	15	a	a	DET
cet-9886	140	16	ka	ka	NOUN
cet-9886	140	17	dt	dt	X
cet-9886	140	18	v	v	PROPN
cet-9886	140	19	dt	dt	X
cet-9886	140	20	q	q	PROPN
cet-9886	140	21	h	h	PROPN
cet-9886	140	22	a	a	DET
cet-9886	140	23	u	u	NOUN
cet-9886	140	24	at	at	ADP
cet-9886	140	25	t	t	PROPN
cet-9886	140	26	t	t	PROPN
cet-9886	140	27	t	t	PROPN
cet-9886	140	28	dt	dt	X
cet-9886	140	29	v	v	NOUN
cet-9886	140	30	c	c	NOUN
cet-9886	140	31	t	t	NOUN
cet-9886	140	32	c	c	NOUN
cet-9886	140	33	v	v	ADP
cet-9886	140	34	ek	ek	PROPN
cet-9886	141	1	k	k	PROPN
cet-9886	141	2	t	t	PROPN
cet-9886	141	3	t	t	PROPN
cet-9886	141	4	α	α	PROPN
cet-9886	141	5	α	α	PROPN
cet-9886	141	6	ϑ	ϑ	X
cet-9886	141	7	ϑ	ϑ	X
cet-9886	141	8	=	=	X
cet-9886	141	9	−	−	PROPN
cet-9886	141	10	−	−	PROPN
cet-9886	141	11	−	−	NOUN
cet-9886	141	12	δ=	δ=	VERB
cet-9886	141	13	−	−	PROPN
cet-9886	142	1	+	+	CCONJ
cet-9886	143	1	−	−	PROPN
cet-9886	143	2	−	−	PROPN
cet-9886	143	3			NOUN
cet-9886	143	4	−=	−=	PROPN
cet-9886	143	5			PROPN
cet-9886	143	6			PROPN
cet-9886	144	1			PROPN
cet-9886	144	2			NOUN
cet-9886	144	3	(	(	PUNCT
cet-9886	144	4	13	13	NUM
cet-9886	144	5	)	)	PUNCT
cet-9886	144	6	where	where	SCONJ
cet-9886	144	7	k	k	PROPN
cet-9886	144	8	is	be	AUX
cet-9886	144	9	the	the	DET
cet-9886	144	10	arrhenious	arrhenious	ADJ
cet-9886	144	11	constant	constant	ADJ
cet-9886	144	12	,	,	PUNCT
cet-9886	144	13	a0	a0	PROPN
cet-9886	144	14	and	and	CCONJ
cet-9886	144	15	t0	t0	PROPN
cet-9886	144	16	are	be	AUX
cet-9886	144	17	the	the	DET
cet-9886	144	18	scaled	scale	VERB
cet-9886	144	19	feed	feed	NOUN
cet-9886	144	20	concentration	concentration	NOUN
cet-9886	144	21	and	and	CCONJ
cet-9886	144	22	temperature	temperature	NOUN
cet-9886	144	23	,	,	PUNCT
cet-9886	144	24	a	a	PRON
cet-9886	144	25	and	and	CCONJ
cet-9886	144	26	t	t	PROPN
cet-9886	144	27	stand	stand	VERB
cet-9886	144	28	for	for	ADP
cet-9886	144	29	the	the	DET
cet-9886	144	30	scale	scale	NOUN
cet-9886	144	31	tank	tank	NOUN
cet-9886	144	32	concentration	concentration	NOUN
cet-9886	144	33	and	and	CCONJ
cet-9886	144	34	temperature	temperature	NOUN
cet-9886	144	35	,	,	PUNCT
cet-9886	144	36	respectively	respectively	ADV
cet-9886	144	37	,	,	PUNCT
cet-9886	144	38	and	and	CCONJ
cet-9886	144	39	ar	ar	PROPN
cet-9886	144	40	and	and	CCONJ
cet-9886	144	41	tr	tr	NOUN
cet-9886	144	42	are	be	AUX
cet-9886	144	43	nominal	nominal	ADJ
cet-9886	144	44	reference	reference	NOUN
cet-9886	144	45	values	value	NOUN
cet-9886	144	46	.	.	PUNCT
cet-9886	145	1	the	the	DET
cet-9886	145	2	cstr	cstr	NOUN
cet-9886	145	3	simulations	simulation	NOUN
cet-9886	145	4	are	be	AUX
cet-9886	145	5	started	start	VERB
cet-9886	145	6	at	at	ADP
cet-9886	145	7	a0=6.5	a0=6.5	PROPN
cet-9886	145	8	and	and	CCONJ
cet-9886	145	9	t0=3.5	t0=3.5	PROPN
cet-9886	145	10	.	.	PUNCT
cet-9886	146	1	after	after	ADP
cet-9886	146	2	30	30	NUM
cet-9886	146	3	times	time	NOUN
cet-9886	146	4	,	,	PUNCT
cet-9886	146	5	a	a	DET
cet-9886	146	6	step	step	NOUN
cet-9886	146	7	change	change	NOUN
cet-9886	146	8	of	of	ADP
cet-9886	146	9	magnitude	magnitude	NOUN
cet-9886	146	10	1	1	NUM
cet-9886	146	11	is	be	AUX
cet-9886	146	12	introduced	introduce	VERB
cet-9886	146	13	to	to	ADP
cet-9886	146	14	a0	a0	PROPN
cet-9886	146	15	.	.	PROPN
cet-9886	147	1	figure	figure	NOUN
cet-9886	147	2	1	1	NUM
cet-9886	147	3	and	and	CCONJ
cet-9886	147	4	2	2	NUM
cet-9886	147	5	show	show	VERB
cet-9886	147	6	the	the	DET
cet-9886	147	7	set	set	NOUN
cet-9886	147	8	of	of	ADP
cet-9886	147	9	measurements	measurement	NOUN
cet-9886	147	10	of	of	ADP
cet-9886	147	11	one	one	NUM
cet-9886	147	12	simulation	simulation	NOUN
cet-9886	147	13	.	.	PUNCT
cet-9886	148	1	also	also	ADV
cet-9886	148	2	,	,	PUNCT
cet-9886	148	3	they	they	PRON
cet-9886	148	4	display	display	VERB
cet-9886	148	5	the	the	DET
cet-9886	148	6	estimated	estimated	ADJ
cet-9886	148	7	a	a	PRON
cet-9886	148	8	and	and	CCONJ
cet-9886	148	9	t	t	PROPN
cet-9886	148	10	values	value	NOUN
cet-9886	148	11	obtained	obtain	VERB
cet-9886	148	12	using	use	VERB
cet-9886	148	13	the	the	DET
cet-9886	148	14	ls	ls	PROPN
cet-9886	148	15	,	,	PUNCT
cet-9886	148	16	hu	hu	PROPN
cet-9886	148	17	function	function	PROPN
cet-9886	148	18	(	(	PUNCT
cet-9886	148	19	case	case	NOUN
cet-9886	148	20	1	1	NUM
cet-9886	148	21	)	)	PUNCT
cet-9886	148	22	and	and	CCONJ
cet-9886	148	23	the	the	DET
cet-9886	148	24	bw	bw	NOUN
cet-9886	148	25	initialized	initialize	VERB
cet-9886	148	26	with	with	ADP
cet-9886	148	27	the	the	DET
cet-9886	148	28	solution	solution	NOUN
cet-9886	148	29	attained	attain	VERB
cet-9886	148	30	using	use	VERB
cet-9886	148	31	hu	hu	PROPN
cet-9886	148	32	(	(	PUNCT
cet-9886	148	33	case	case	NOUN
cet-9886	148	34	2	2	NUM
cet-9886	148	35	)	)	PUNCT
cet-9886	148	36	.	.	PUNCT
cet-9886	149	1	it	it	PRON
cet-9886	149	2	is	be	AUX
cet-9886	149	3	observed	observe	VERB
cet-9886	149	4	a	a	DET
cet-9886	149	5	reduction	reduction	NOUN
cet-9886	149	6	of	of	ADP
cet-9886	149	7	variance	variance	NOUN
cet-9886	149	8	since	since	SCONJ
cet-9886	149	9	the	the	DET
cet-9886	149	10	measurements	measurement	NOUN
cet-9886	149	11	present	present	VERB
cet-9886	149	12	more	more	ADJ
cet-9886	149	13	dispersion	dispersion	NOUN
cet-9886	149	14	than	than	ADP
cet-9886	149	15	the	the	DET
cet-9886	149	16	reconciled	reconcile	VERB
cet-9886	149	17	variables	variable	NOUN
cet-9886	149	18	represented	represent	VERB
cet-9886	149	19	by	by	ADP
cet-9886	149	20	curves	curve	NOUN
cet-9886	149	21	.	.	PUNCT
cet-9886	150	1	it	it	PRON
cet-9886	150	2	can	can	AUX
cet-9886	150	3	be	be	AUX
cet-9886	150	4	seen	see	VERB
cet-9886	150	5	that	that	SCONJ
cet-9886	150	6	better	well	ADJ
cet-9886	150	7	results	result	NOUN
cet-9886	150	8	are	be	AUX
cet-9886	150	9	achieved	achieve	VERB
cet-9886	150	10	for	for	ADP
cet-9886	150	11	case	case	NOUN
cet-9886	150	12	2	2	NUM
cet-9886	150	13	and	and	CCONJ
cet-9886	150	14	both	both	DET
cet-9886	150	15	n	n	PRON
cet-9886	150	16	values	value	NOUN
cet-9886	150	17	.	.	PUNCT
cet-9886	151	1	figure	figure	NOUN
cet-9886	151	2	1a	1a	NOUN
cet-9886	151	3	:	:	PUNCT
cet-9886	151	4	estimation	estimation	NOUN
cet-9886	151	5	of	of	ADP
cet-9886	151	6	concentration	concentration	NOUN
cet-9886	151	7	for	for	ADP
cet-9886	151	8	n=5	n=5	ADJ
cet-9886	151	9	figure	figure	NOUN
cet-9886	151	10	1b	1b	NUM
cet-9886	151	11	:	:	PUNCT
cet-9886	151	12	estimation	estimation	NOUN
cet-9886	151	13	of	of	ADP
cet-9886	151	14	temperature	temperature	NOUN
cet-9886	151	15	for	for	ADP
cet-9886	151	16	n=5	n=5	ADJ
cet-9886	151	17	figure	figure	NOUN
cet-9886	151	18	2a	2a	NUM
cet-9886	151	19	:	:	PUNCT
cet-9886	151	20	estimation	estimation	NOUN
cet-9886	151	21	of	of	ADP
cet-9886	151	22	concentration	concentration	NOUN
cet-9886	151	23	for	for	ADP
cet-9886	151	24	n=10	n=10	NOUN
cet-9886	151	25	figure	figure	NOUN
cet-9886	151	26	2b	2b	NOUN
cet-9886	151	27	:	:	PUNCT
cet-9886	151	28	estimation	estimation	NOUN
cet-9886	151	29	of	of	ADP
cet-9886	151	30	temperature	temperature	NOUN
cet-9886	151	31	for	for	ADP
cet-9886	151	32	n=10	n=10	PRON
cet-9886	151	33	the	the	DET
cet-9886	151	34	overall	overall	ADJ
cet-9886	151	35	results	result	NOUN
cet-9886	151	36	of	of	ADP
cet-9886	151	37	the	the	DET
cet-9886	151	38	simulation	simulation	NOUN
cet-9886	151	39	trials	trial	NOUN
cet-9886	151	40	are	be	AUX
cet-9886	151	41	presented	present	VERB
cet-9886	151	42	in	in	ADP
cet-9886	151	43	tables	table	NOUN
cet-9886	151	44	1	1	NUM
cet-9886	151	45	and	and	CCONJ
cet-9886	151	46	2	2	NUM
cet-9886	151	47	.	.	NOUN
cet-9886	151	48	table	table	NOUN
cet-9886	151	49	1	1	NUM
cet-9886	151	50	shows	show	VERB
cet-9886	151	51	the	the	DET
cet-9886	151	52	accuracy	accuracy	NOUN
cet-9886	151	53	of	of	ADP
cet-9886	151	54	the	the	DET
cet-9886	151	55	estimations	estimation	NOUN
cet-9886	151	56	in	in	ADP
cet-9886	151	57	terms	term	NOUN
cet-9886	151	58	of	of	ADP
cet-9886	151	59	the	the	DET
cet-9886	151	60	mse	mse	PROPN
cet-9886	151	61	.	.	PUNCT
cet-9886	152	1	better	well	ADJ
cet-9886	152	2	results	result	NOUN
cet-9886	152	3	are	be	AUX
cet-9886	152	4	achieved	achieve	VERB
cet-9886	152	5	with	with	ADP
cet-9886	152	6	rddr	rddr	NOUN
cet-9886	152	7	for	for	ADP
cet-9886	152	8	both	both	DET
cet-9886	152	9	values	value	NOUN
cet-9886	152	10	of	of	ADP
cet-9886	152	11	n	n	PRON
cet-9886	152	12	analyzed	analyze	VERB
cet-9886	152	13	.	.	PUNCT
cet-9886	153	1	the	the	DET
cet-9886	153	2	best	good	ADJ
cet-9886	153	3	mse	mse	NOUN
cet-9886	153	4	is	be	AUX
cet-9886	153	5	attained	attain	VERB
cet-9886	153	6	for	for	ADP
cet-9886	153	7	case	case	NOUN
cet-9886	153	8	2	2	NUM
cet-9886	153	9	and	and	CCONJ
cet-9886	153	10	the	the	DET
cet-9886	153	11	longest	long	ADJ
cet-9886	153	12	n	n	CCONJ
cet-9886	153	13	;	;	PUNCT
cet-9886	153	14	this	this	DET
cet-9886	153	15	result	result	NOUN
cet-9886	153	16	is	be	AUX
cet-9886	153	17	according	accord	VERB
cet-9886	153	18	to	to	ADP
cet-9886	153	19	the	the	DET
cet-9886	153	20	theory	theory	NOUN
cet-9886	153	21	of	of	ADP
cet-9886	153	22	robust	robust	ADJ
cet-9886	153	23	estimators	estimator	NOUN
cet-9886	153	24	.	.	PUNCT
cet-9886	154	1	table	table	NOUN
cet-9886	154	2	1	1	NUM
cet-9886	154	3	:	:	PUNCT
cet-9886	154	4	mse	mse	PROPN
cet-9886	154	5	n	n	CCONJ
cet-9886	154	6	ls	ls	ADJ
cet-9886	154	7	case	case	NOUN
cet-9886	154	8	1	1	NUM
cet-9886	154	9	case	case	NOUN
cet-9886	154	10	2	2	NUM
cet-9886	154	11	5	5	NUM
cet-9886	154	12	4.15693	4.15693	NUM
cet-9886	154	13	0.70392	0.70392	NUM
cet-9886	154	14	0.59471	0.59471	NUM
cet-9886	154	15	10	10	NUM
cet-9886	154	16	3.74236	3.74236	NUM
cet-9886	154	17	0.51425	0.51425	NUM
cet-9886	154	18	0.34811	0.34811	NUM
cet-9886	154	19	table	table	NOUN
cet-9886	154	20	2	2	NUM
cet-9886	154	21	shows	show	VERB
cet-9886	154	22	that	that	SCONJ
cet-9886	154	23	similar	similar	ADJ
cet-9886	154	24	%	%	NOUN
cet-9886	154	25	dt	dt	NOUN
cet-9886	155	1	and	and	CCONJ
cet-9886	155	2	%	%	INTJ
cet-9886	155	3	fa	fa	INTJ
cet-9886	155	4	are	be	AUX
cet-9886	155	5	achieved	achieve	VERB
cet-9886	155	6	with	with	ADP
cet-9886	155	7	both	both	DET
cet-9886	155	8	case	case	NOUN
cet-9886	155	9	studies	study	NOUN
cet-9886	155	10	.	.	PUNCT
cet-9886	156	1	these	these	DET
cet-9886	156	2	measures	measure	NOUN
cet-9886	156	3	decrease	decrease	VERB
cet-9886	156	4	as	as	ADP
cet-9886	156	5	n	n	DET
cet-9886	156	6	increases	increase	NOUN
cet-9886	156	7	,	,	PUNCT
cet-9886	156	8	which	which	PRON
cet-9886	156	9	indicates	indicate	VERB
cet-9886	156	10	that	that	SCONJ
cet-9886	156	11	a	a	DET
cet-9886	156	12	bigger	big	ADJ
cet-9886	156	13	fraction	fraction	NOUN
cet-9886	156	14	of	of	ADP
cet-9886	156	15	outliers	outlier	NOUN
cet-9886	156	16	is	be	AUX
cet-9886	156	17	detected	detect	VERB
cet-9886	156	18	with	with	ADP
cet-9886	156	19	n=5	n=5	PROPN
cet-9886	156	20	although	although	SCONJ
cet-9886	156	21	the	the	DET
cet-9886	156	22	reconciled	reconcile	VERB
cet-9886	156	23	value	value	NOUN
cet-9886	156	24	is	be	AUX
cet-9886	156	25	more	more	ADV
cet-9886	156	26	accurate	accurate	ADJ
cet-9886	156	27	when	when	SCONJ
cet-9886	156	28	n=10	n=10	PRON
cet-9886	156	29	.	.	PUNCT
cet-9886	157	1	this	this	PRON
cet-9886	157	2	occurs	occur	VERB
cet-9886	157	3	because	because	SCONJ
cet-9886	157	4	the	the	DET
cet-9886	157	5	rmt	rmt	NOUN
cet-9886	157	6	uses	use	VERB
cet-9886	157	7	an	an	DET
cet-9886	157	8	approximation	approximation	NOUN
cet-9886	157	9	of	of	ADP
cet-9886	157	10	the	the	DET
cet-9886	157	11	reconciled	reconcile	VERB
cet-9886	157	12	value	value	NOUN
cet-9886	157	13	,	,	PUNCT
cet-9886	157	14	which	which	PRON
cet-9886	157	15	is	be	AUX
cet-9886	157	16	not	not	PART
cet-9886	157	17	accurate	accurate	ADJ
cet-9886	157	18	,	,	PUNCT
cet-9886	157	19	for	for	ADP
cet-9886	157	20	its	its	PRON
cet-9886	157	21	statistic	statistic	ADJ
cet-9886	157	22	computation	computation	NOUN
cet-9886	157	23	.	.	PUNCT
cet-9886	158	1	better	well	ADJ
cet-9886	158	2	results	result	NOUN
cet-9886	158	3	are	be	AUX
cet-9886	158	4	obtained	obtain	VERB
cet-9886	158	5	if	if	SCONJ
cet-9886	158	6	the	the	DET
cet-9886	158	7	rmt	rmt	NOUN
cet-9886	158	8	is	be	AUX
cet-9886	158	9	applied	apply	VERB
cet-9886	158	10	to	to	ADP
cet-9886	158	11	the	the	DET
cet-9886	158	12	measurements	measurement	NOUN
cet-9886	158	13	that	that	PRON
cet-9886	158	14	correspond	correspond	VERB
cet-9886	158	15	to	to	ADP
cet-9886	158	16	the	the	DET
cet-9886	158	17	reconciled	reconcile	VERB
cet-9886	158	18	value	value	NOUN
cet-9886	158	19	,	,	PUNCT
cet-9886	158	20	however	however	SCONJ
cet-9886	158	21	errors	error	NOUN
cet-9886	158	22	are	be	AUX
cet-9886	158	23	detected	detect	VERB
cet-9886	158	24	n	n	PRON
cet-9886	158	25	times	time	NOUN
cet-9886	158	26	latter	latter	ADJ
cet-9886	158	27	they	they	PRON
cet-9886	158	28	happen	happen	VERB
cet-9886	158	29	.	.	PUNCT
cet-9886	159	1	a	a	DET
cet-9886	159	2	compromise	compromise	NOUN
cet-9886	159	3	between	between	ADP
cet-9886	159	4	the	the	DET
cet-9886	159	5	number	number	NOUN
cet-9886	159	6	of	of	ADP
cet-9886	159	7	detected	detect	VERB
cet-9886	159	8	outliers	outlier	NOUN
cet-9886	159	9	and	and	CCONJ
cet-9886	159	10	the	the	DET
cet-9886	159	11	detection	detection	NOUN
cet-9886	159	12	time	time	NOUN
cet-9886	159	13	is	be	AUX
cet-9886	159	14	observed	observe	VERB
cet-9886	159	15	.	.	PUNCT
cet-9886	160	1	725	725	NUM
cet-9886	160	2	table	table	NOUN
cet-9886	160	3	2	2	NUM
cet-9886	160	4	:	:	PUNCT
cet-9886	160	5	percentage	percentage	NOUN
cet-9886	160	6	of	of	ADP
cet-9886	160	7	detection	detection	NOUN
cet-9886	160	8	and	and	CCONJ
cet-9886	160	9	false	false	ADJ
cet-9886	160	10	alarms	alarm	NOUN
cet-9886	160	11	m=30	m=30	PROPN
cet-9886	160	12	hu	hu	PROPN
cet-9886	160	13	bw	bw	PROPN
cet-9886	160	14	+	+	PROPN
cet-9886	160	15	hu	hu	PROPN
cet-9886	160	16	n	n	PRON
cet-9886	160	17	%	%	NOUN
cet-9886	161	1	dt	dt	INTJ
cet-9886	161	2	%	%	INTJ
cet-9886	161	3	fa	fa	INTJ
cet-9886	162	1	%	%	INTJ
cet-9886	162	2	dt	dt	INTJ
cet-9886	163	1	%	%	INTJ
cet-9886	163	2	fa	fa	INTJ
cet-9886	163	3	5	5	NUM
cet-9886	163	4	94.581	94.581	NUM
cet-9886	163	5	2.651	2.651	NUM
cet-9886	163	6	94.556	94.556	NUM
cet-9886	163	7	2.557	2.557	NUM
cet-9886	163	8	10	10	NUM
cet-9886	163	9	89.655	89.655	NUM
cet-9886	163	10	2.410	2.410	NUM
cet-9886	163	11	89.609	89.609	NUM
cet-9886	163	12	2.398	2.398	NUM
cet-9886	163	13	5	5	NUM
cet-9886	163	14	.	.	PUNCT
cet-9886	164	1	conclusions	conclusion	NOUN
cet-9886	164	2	the	the	DET
cet-9886	164	3	comparison	comparison	NOUN
cet-9886	164	4	between	between	ADP
cet-9886	164	5	rddr	rddr	PROPN
cet-9886	164	6	and	and	CCONJ
cet-9886	164	7	cdd	cdd	PROPN
cet-9886	164	8	shows	show	VERB
cet-9886	164	9	the	the	DET
cet-9886	164	10	improvement	improvement	NOUN
cet-9886	164	11	of	of	ADP
cet-9886	164	12	accuracy	accuracy	NOUN
cet-9886	164	13	obtained	obtain	VERB
cet-9886	164	14	with	with	ADP
cet-9886	164	15	the	the	DET
cet-9886	164	16	robust	robust	ADJ
cet-9886	164	17	methodology	methodology	NOUN
cet-9886	164	18	.	.	PUNCT
cet-9886	165	1	the	the	DET
cet-9886	165	2	mse	mse	NOUN
cet-9886	165	3	diminishes	diminish	VERB
cet-9886	165	4	when	when	SCONJ
cet-9886	165	5	n	n	PRON
cet-9886	165	6	increases	increase	VERB
cet-9886	165	7	because	because	SCONJ
cet-9886	165	8	more	more	ADV
cet-9886	165	9	accurate	accurate	ADJ
cet-9886	165	10	results	result	NOUN
cet-9886	165	11	are	be	AUX
cet-9886	165	12	achieved	achieve	VERB
cet-9886	165	13	.	.	PUNCT
cet-9886	166	1	the	the	DET
cet-9886	166	2	best	good	ADJ
cet-9886	166	3	results	result	NOUN
cet-9886	166	4	are	be	AUX
cet-9886	166	5	attained	attain	VERB
cet-9886	166	6	using	use	VERB
cet-9886	166	7	the	the	DET
cet-9886	166	8	biweigth	biweigth	NOUN
cet-9886	166	9	estimator	estimator	NOUN
cet-9886	166	10	and	and	CCONJ
cet-9886	166	11	n=10	n=10	PROPN
cet-9886	166	12	.	.	PUNCT
cet-9886	167	1	regards	regard	VERB
cet-9886	167	2	the	the	DET
cet-9886	167	3	rmt	rmt	NOUN
cet-9886	167	4	,	,	PUNCT
cet-9886	167	5	similar	similar	ADJ
cet-9886	167	6	%	%	NOUN
cet-9886	167	7	dt	dt	NOUN
cet-9886	168	1	and	and	CCONJ
cet-9886	168	2	%	%	INTJ
cet-9886	168	3	fa	fa	INTJ
cet-9886	168	4	are	be	AUX
cet-9886	168	5	achieved	achieve	VERB
cet-9886	168	6	for	for	ADP
cet-9886	168	7	a	a	DET
cet-9886	168	8	given	give	VERB
cet-9886	168	9	n.	n.	NOUN
cet-9886	168	10	in	in	ADP
cet-9886	168	11	both	both	DET
cet-9886	168	12	case	case	NOUN
cet-9886	168	13	studies	study	NOUN
cet-9886	168	14	,	,	PUNCT
cet-9886	168	15	more	more	ADJ
cet-9886	168	16	than	than	ADP
cet-9886	168	17	89	89	NUM
cet-9886	168	18	%	%	NOUN
cet-9886	168	19	of	of	ADP
cet-9886	168	20	outliers	outlier	NOUN
cet-9886	168	21	simulated	simulate	VERB
cet-9886	168	22	are	be	AUX
cet-9886	168	23	correctly	correctly	ADV
cet-9886	168	24	detected	detect	VERB
cet-9886	168	25	,	,	PUNCT
cet-9886	168	26	while	while	SCONJ
cet-9886	168	27	false	false	ADJ
cet-9886	168	28	alarms	alarm	NOUN
cet-9886	168	29	are	be	AUX
cet-9886	168	30	lower	low	ADJ
cet-9886	168	31	than	than	ADP
cet-9886	168	32	2.7	2.7	NUM
cet-9886	168	33	%	%	NOUN
cet-9886	168	34	.	.	PUNCT
cet-9886	169	1	furthermore	furthermore	ADV
cet-9886	169	2	,	,	PUNCT
cet-9886	169	3	better	well	ADJ
cet-9886	169	4	results	result	NOUN
cet-9886	169	5	are	be	AUX
cet-9886	169	6	achieved	achieve	VERB
cet-9886	169	7	when	when	SCONJ
cet-9886	169	8	n=5	n=5	PROPN
cet-9886	169	9	because	because	SCONJ
cet-9886	169	10	the	the	DET
cet-9886	169	11	rmt	rmt	NOUN
cet-9886	169	12	uses	use	VERB
cet-9886	169	13	an	an	DET
cet-9886	169	14	approximation	approximation	NOUN
cet-9886	169	15	of	of	ADP
cet-9886	169	16	the	the	DET
cet-9886	169	17	reconciled	reconcile	VERB
cet-9886	169	18	value	value	NOUN
cet-9886	169	19	that	that	PRON
cet-9886	169	20	is	be	AUX
cet-9886	169	21	more	more	ADV
cet-9886	169	22	accurate	accurate	ADJ
cet-9886	169	23	for	for	ADP
cet-9886	169	24	this	this	DET
cet-9886	169	25	window	window	NOUN
cet-9886	169	26	length	length	NOUN
cet-9886	169	27	.	.	PUNCT
cet-9886	170	1	the	the	DET
cet-9886	170	2	performance	performance	NOUN
cet-9886	170	3	measures	measure	NOUN
cet-9886	170	4	indicate	indicate	VERB
cet-9886	170	5	that	that	SCONJ
cet-9886	170	6	the	the	DET
cet-9886	170	7	rddr	rddr	NOUN
cet-9886	170	8	and	and	CCONJ
cet-9886	170	9	the	the	DET
cet-9886	170	10	rmt	rmt	NOUN
cet-9886	170	11	are	be	AUX
cet-9886	170	12	methodologies	methodology	NOUN
cet-9886	170	13	that	that	PRON
cet-9886	170	14	can	can	AUX
cet-9886	170	15	be	be	AUX
cet-9886	170	16	applied	apply	VERB
cet-9886	170	17	for	for	ADP
cet-9886	170	18	detecting	detect	VERB
cet-9886	170	19	outliers	outlier	NOUN
cet-9886	170	20	in	in	ADP
cet-9886	170	21	dynamic	dynamic	ADJ
cet-9886	170	22	systems	system	NOUN
cet-9886	170	23	.	.	PUNCT
cet-9886	171	1	it	it	PRON
cet-9886	171	2	is	be	AUX
cet-9886	171	3	observed	observe	VERB
cet-9886	171	4	a	a	DET
cet-9886	171	5	trade	trade	NOUN
cet-9886	171	6	-	-	PUNCT
cet-9886	171	7	off	off	NOUN
cet-9886	171	8	between	between	ADP
cet-9886	171	9	the	the	DET
cet-9886	171	10	accuracy	accuracy	NOUN
cet-9886	171	11	achieved	achieve	VERB
cet-9886	171	12	using	use	VERB
cet-9886	171	13	the	the	DET
cet-9886	171	14	rddr	rddr	NOUN
cet-9886	171	15	and	and	CCONJ
cet-9886	171	16	the	the	DET
cet-9886	171	17	detection	detection	NOUN
cet-9886	171	18	capability	capability	NOUN
cet-9886	171	19	.	.	PUNCT
cet-9886	172	1	for	for	ADP
cet-9886	172	2	the	the	DET
cet-9886	172	3	simulated	simulate	VERB
cet-9886	172	4	case	case	NOUN
cet-9886	172	5	study	study	NOUN
cet-9886	172	6	best	good	ADJ
cet-9886	172	7	results	result	NOUN
cet-9886	172	8	are	be	AUX
cet-9886	172	9	obtained	obtain	VERB
cet-9886	172	10	using	use	VERB
cet-9886	172	11	bw	bw	NOUN
cet-9886	172	12	as	as	ADP
cet-9886	172	13	of	of	ADP
cet-9886	172	14	.	.	PUNCT
cet-9886	173	1	acknowledgments	acknowledgment	NOUN
cet-9886	173	2	the	the	DET
cet-9886	173	3	authors	author	NOUN
cet-9886	173	4	acknowledge	acknowledge	VERB
cet-9886	173	5	the	the	DET
cet-9886	173	6	financial	financial	ADJ
cet-9886	173	7	support	support	NOUN
cet-9886	173	8	of	of	ADP
cet-9886	173	9	conicet	conicet	PROPN
cet-9886	173	10	(	(	PUNCT
cet-9886	173	11	consejo	consejo	PROPN
cet-9886	173	12	nacional	nacional	PROPN
cet-9886	173	13	de	de	PROPN
cet-9886	173	14	investigaciones	investigaciones	PROPN
cet-9886	173	15	científicas	científicas	VERB
cet-9886	173	16	y	y	PROPN
cet-9886	173	17	técnicas	técnicas	PROPN
cet-9886	173	18	)	)	PUNCT
cet-9886	173	19	and	and	CCONJ
cet-9886	173	20	uns	un	NOUN
cet-9886	173	21	(	(	PUNCT
cet-9886	173	22	universidad	universidad	PROPN
cet-9886	173	23	nacional	nacional	PROPN
cet-9886	173	24	del	del	PROPN
cet-9886	173	25	sur	sur	PROPN
cet-9886	173	26	,	,	PUNCT
cet-9886	173	27	bahía	bahía	PROPN
cet-9886	173	28	blanca	blanca	PROPN
cet-9886	173	29	,	,	PUNCT
cet-9886	173	30	argentina	argentina	PROPN
cet-9886	173	31	)	)	PUNCT
cet-9886	173	32	.	.	PUNCT
cet-9886	174	1	references	reference	NOUN
cet-9886	174	2	albuquerque	albuquerque	PROPN
cet-9886	174	3	,	,	PUNCT
cet-9886	174	4	j.s	j.s	PROPN
cet-9886	174	5	.	.	PROPN
cet-9886	174	6	,	,	PUNCT
cet-9886	174	7	biegler	biegler	NOUN
cet-9886	174	8	,	,	PUNCT
cet-9886	174	9	l.t	l.t	PROPN
cet-9886	174	10	.	.	PROPN
cet-9886	174	11	,	,	PUNCT
cet-9886	174	12	1996	1996	NUM
cet-9886	174	13	.	.	PUNCT
cet-9886	175	1	data	datum	NOUN
cet-9886	175	2	reconciliation	reconciliation	NOUN
cet-9886	175	3	and	and	CCONJ
cet-9886	175	4	gross‐error	gross‐error	NOUN
cet-9886	175	5	detection	detection	NOUN
cet-9886	175	6	for	for	ADP
cet-9886	175	7	dynamic	dynamic	ADJ
cet-9886	175	8	systems	system	NOUN
cet-9886	175	9	.	.	PUNCT
cet-9886	176	1	aiche	aiche	PROPN
cet-9886	176	2	journal	journal	PROPN
cet-9886	176	3	,	,	PUNCT
cet-9886	176	4	42(10	42(10	PROPN
cet-9886	176	5	)	)	PUNCT
cet-9886	176	6	,	,	PUNCT
cet-9886	176	7	2841	2841	NUM
cet-9886	176	8	-	-	SYM
cet-9886	176	9	2856	2856	NUM
cet-9886	176	10	.	.	PUNCT
cet-9886	177	1	arora	arora	PROPN
cet-9886	177	2	,	,	PUNCT
cet-9886	177	3	n.	n.	NOUN
cet-9886	177	4	and	and	CCONJ
cet-9886	177	5	biegler	biegler	ADJ
cet-9886	177	6	,	,	PUNCT
cet-9886	177	7	l.t	l.t	PROPN
cet-9886	177	8	.	.	PROPN
cet-9886	177	9	,	,	PUNCT
cet-9886	177	10	2001	2001	NUM
cet-9886	177	11	.	.	PUNCT
cet-9886	178	1	redescending	redescende	VERB
cet-9886	178	2	estimators	estimator	NOUN
cet-9886	178	3	for	for	ADP
cet-9886	178	4	data	datum	NOUN
cet-9886	178	5	reconciliation	reconciliation	NOUN
cet-9886	178	6	and	and	CCONJ
cet-9886	178	7	parameter	parameter	NOUN
cet-9886	178	8	estimation	estimation	NOUN
cet-9886	178	9	.	.	PUNCT
cet-9886	179	1	computers	computer	NOUN
cet-9886	179	2	&	&	CCONJ
cet-9886	179	3	chemical	chemical	PROPN
cet-9886	179	4	engineering	engineering	PROPN
cet-9886	179	5	,	,	PUNCT
cet-9886	179	6	25(11	25(11	NUM
cet-9886	179	7	-	-	SYM
cet-9886	179	8	12	12	NUM
cet-9886	179	9	)	)	PUNCT
cet-9886	179	10	,	,	PUNCT
cet-9886	179	11	1585	1585	NUM
cet-9886	179	12	-	-	SYM
cet-9886	179	13	1599	1599	NUM
cet-9886	179	14	.	.	PUNCT
cet-9886	180	1	eghbal	eghbal	PROPN
cet-9886	180	2	ahmadi	ahmadi	PROPN
cet-9886	180	3	m.h	m.h	PROPN
cet-9886	180	4	.	.	PROPN
cet-9886	180	5	,	,	PUNCT
cet-9886	180	6	rad	rad	PROPN
cet-9886	180	7	a.	a.	PROPN
cet-9886	180	8	,	,	PUNCT
cet-9886	180	9	2017	2017	NUM
cet-9886	180	10	,	,	PUNCT
cet-9886	180	11	plant	plant	NOUN
cet-9886	180	12	-	-	PUNCT
cet-9886	180	13	wide	wide	ADJ
cet-9886	180	14	simulation	simulation	NOUN
cet-9886	180	15	model	model	NOUN
cet-9886	180	16	for	for	ADP
cet-9886	180	17	modified	modify	VERB
cet-9886	180	18	claus	claus	NOUN
cet-9886	180	19	process	process	NOUN
cet-9886	180	20	based	base	VERB
cet-9886	180	21	on	on	ADP
cet-9886	180	22	simultaneous	simultaneous	ADJ
cet-9886	180	23	data	datum	NOUN
cet-9886	180	24	reconciliation	reconciliation	NOUN
cet-9886	180	25	and	and	CCONJ
cet-9886	180	26	parameter	parameter	NOUN
cet-9886	180	27	estimation	estimation	NOUN
cet-9886	180	28	,	,	PUNCT
cet-9886	180	29	chemical	chemical	NOUN
cet-9886	180	30	engineering	engineering	NOUN
cet-9886	180	31	transactions	transaction	NOUN
cet-9886	180	32	,	,	PUNCT
cet-9886	180	33	57	57	NUM
cet-9886	180	34	,	,	PUNCT
cet-9886	180	35	9971002	9971002	NUM
cet-9886	180	36	leibman	leibman	NOUN
cet-9886	180	37	,	,	PUNCT
cet-9886	180	38	m.	m.	NOUN
cet-9886	180	39	j.	j.	PROPN
cet-9886	180	40	,	,	PUNCT
cet-9886	180	41	edgar	edgar	PROPN
cet-9886	180	42	,	,	PUNCT
cet-9886	180	43	t.	t.	PROPN
cet-9886	180	44	lasdon	lasdon	PROPN
cet-9886	180	45	,	,	PUNCT
cet-9886	180	46	l.s	l.s	PROPN
cet-9886	180	47	.	.	PROPN
cet-9886	180	48	,	,	PUNCT
cet-9886	180	49	1992	1992	NUM
cet-9886	180	50	.	.	PUNCT
cet-9886	181	1	efficient	efficient	ADJ
cet-9886	181	2	data	datum	NOUN
cet-9886	181	3	reconciliation	reconciliation	NOUN
cet-9886	181	4	and	and	CCONJ
cet-9886	181	5	estimation	estimation	NOUN
cet-9886	181	6	for	for	ADP
cet-9886	181	7	dynamic	dynamic	ADJ
cet-9886	181	8	processes	process	NOUN
cet-9886	181	9	using	use	VERB
cet-9886	181	10	nonlinear	nonlinear	ADJ
cet-9886	181	11	programming	programming	NOUN
cet-9886	181	12	techniques	technique	NOUN
cet-9886	181	13	.	.	PUNCT
cet-9886	182	1	computers	computer	NOUN
cet-9886	182	2	&	&	CCONJ
cet-9886	182	3	chemical	chemical	PROPN
cet-9886	182	4	engineering	engineering	PROPN
cet-9886	182	5	,	,	PUNCT
cet-9886	182	6	16(10	16(10	NOUN
cet-9886	182	7	-	-	SYM
cet-9886	182	8	11	11	NUM
cet-9886	182	9	)	)	PUNCT
cet-9886	182	10	,	,	PUNCT
cet-9886	182	11	963986	963986	NUM
cet-9886	182	12	.	.	PUNCT
cet-9886	183	1	llanos	llanos	PROPN
cet-9886	183	2	,	,	PUNCT
cet-9886	183	3	c.	c.	PROPN
cet-9886	183	4	,	,	PUNCT
cet-9886	183	5	sánchez	sánchez	PROPN
cet-9886	183	6	,	,	PUNCT
cet-9886	183	7	m.	m.	NOUN
cet-9886	183	8	,	,	PUNCT
cet-9886	183	9	r.	r.	PROPN
cet-9886	183	10	maronna	maronna	PROPN
cet-9886	183	11	,	,	PUNCT
cet-9886	183	12	2015	2015	NUM
cet-9886	183	13	,	,	PUNCT
cet-9886	183	14	robust	robust	ADJ
cet-9886	183	15	estimators	estimator	NOUN
cet-9886	183	16	for	for	ADP
cet-9886	183	17	data	datum	NOUN
cet-9886	183	18	reconciliation	reconciliation	NOUN
cet-9886	183	19	,	,	PUNCT
cet-9886	183	20	industrial	industrial	ADJ
cet-9886	183	21	.	.	PUNCT
cet-9886	183	22	&	&	CCONJ
cet-9886	183	23	engineering	engineering	PROPN
cet-9886	183	24	.	.	PUNCT
cet-9886	184	1	chemistry	chemistry	NOUN
cet-9886	184	2	research	research	NOUN
cet-9886	184	3	,	,	PUNCT
cet-9886	184	4	54	54	NUM
cet-9886	184	5	,	,	PUNCT
cet-9886	184	6	5096	5096	NUM
cet-9886	184	7	-	-	SYM
cet-9886	184	8	5105	5105	NUM
cet-9886	184	9	.	.	PUNCT
cet-9886	185	1	llanos	llanos	PROPN
cet-9886	185	2	,	,	PUNCT
cet-9886	185	3	c.	c.	PROPN
cet-9886	185	4	,	,	PUNCT
cet-9886	185	5	sánchez	sánchez	PROPN
cet-9886	185	6	,	,	PUNCT
cet-9886	185	7	m.	m.	NOUN
cet-9886	185	8	,	,	PUNCT
cet-9886	185	9	r.	r.	PROPN
cet-9886	185	10	maronna	maronna	PROPN
cet-9886	185	11	,	,	PUNCT
cet-9886	185	12	2017	2017	NUM
cet-9886	185	13	,	,	PUNCT
cet-9886	185	14	classification	classification	NOUN
cet-9886	185	15	of	of	ADP
cet-9886	185	16	systematic	systematic	ADJ
cet-9886	185	17	measurement	measurement	NOUN
cet-9886	185	18	errors	error	NOUN
cet-9886	185	19	within	within	ADP
cet-9886	185	20	the	the	DET
cet-9886	185	21	framework	framework	NOUN
cet-9886	185	22	of	of	ADP
cet-9886	185	23	robust	robust	ADJ
cet-9886	185	24	data	datum	NOUN
cet-9886	185	25	reconciliation	reconciliation	NOUN
cet-9886	185	26	,	,	PUNCT
cet-9886	185	27	industrial	industrial	PROPN
cet-9886	185	28	&	&	CCONJ
cet-9886	185	29	engineering	engineer	VERB
cet-9886	185	30	chemistry	chemistry	NOUN
cet-9886	185	31	research	research	NOUN
cet-9886	185	32	,	,	PUNCT
cet-9886	185	33	56	56	NUM
cet-9886	185	34	,	,	PUNCT
cet-9886	185	35	9617	9617	NUM
cet-9886	185	36	-	-	SYM
cet-9886	185	37	9628	9628	NUM
cet-9886	185	38	.	.	PUNCT
cet-9886	186	1	llanos	llanos	PROPN
cet-9886	186	2	,	,	PUNCT
cet-9886	186	3	c.	c.	NOUN
cet-9886	186	4	,	,	PUNCT
cet-9886	186	5	2018	2018	NUM
cet-9886	186	6	,	,	PUNCT
cet-9886	186	7	metodologías	metodologías	PROPN
cet-9886	186	8	robustas	robustas	PROPN
cet-9886	186	9	de	de	X
cet-9886	186	10	reconciliación	reconciliación	PROPN
cet-9886	186	11	de	de	PROPN
cet-9886	186	12	datos	datos	X
cet-9886	186	13	y	y	PROPN
cet-9886	186	14	tratamiento	tratamiento	PROPN
cet-9886	186	15	de	de	PROPN
cet-9886	186	16	errores	errores	PROPN
cet-9886	186	17	sistemáticos	sistemáticos	PROPN
cet-9886	186	18	,	,	PUNCT
cet-9886	186	19	phd	phd	NOUN
cet-9886	186	20	thesis	thesis	NOUN
cet-9886	186	21	,	,	PUNCT
cet-9886	186	22	universidad	universidad	PROPN
cet-9886	186	23	nacional	nacional	PROPN
cet-9886	186	24	del	del	PROPN
cet-9886	186	25	sur	sur	PROPN
cet-9886	186	26	.	.	PUNCT
cet-9886	187	1	dpto	dpto	PROPN
cet-9886	187	2	de	de	PROPN
cet-9886	187	3	ingeniería	ingeniería	PROPN
cet-9886	187	4	química	química	PROPN
cet-9886	187	5	,	,	PUNCT
cet-9886	187	6	argentina	argentina	PROPN
cet-9886	187	7	mah	mah	PROPN
cet-9886	187	8	,	,	PUNCT
cet-9886	187	9	r.	r.	PROPN
cet-9886	187	10	s.	s.	PROPN
cet-9886	187	11	h.	h.	PROPN
cet-9886	187	12	;	;	PUNCT
cet-9886	187	13	tamhane	tamhane	ADV
cet-9886	187	14	,	,	PUNCT
cet-9886	187	15	a.	a.	PROPN
cet-9886	187	16	c.	c.	PROPN
cet-9886	187	17	,	,	PUNCT
cet-9886	187	18	1982	1982	NUM
cet-9886	187	19	,	,	PUNCT
cet-9886	187	20	detection	detection	NOUN
cet-9886	187	21	of	of	ADP
cet-9886	187	22	gross	gross	ADJ
cet-9886	187	23	errors	error	NOUN
cet-9886	187	24	in	in	ADP
cet-9886	187	25	process	process	NOUN
cet-9886	187	26	data	datum	NOUN
cet-9886	187	27	.	.	PUNCT
cet-9886	188	1	aiche	aiche	PROPN
cet-9886	188	2	journal	journal	PROPN
cet-9886	188	3	,	,	PUNCT
cet-9886	188	4	28	28	NUM
cet-9886	188	5	,	,	PUNCT
cet-9886	188	6	828	828	NUM
cet-9886	188	7	-	-	SYM
cet-9886	188	8	830	830	NUM
cet-9886	188	9	.	.	PUNCT
cet-9886	189	1	maronna	maronna	PROPN
cet-9886	189	2	,	,	PUNCT
cet-9886	189	3	r.	r.	PROPN
cet-9886	189	4	a.	a.	PROPN
cet-9886	189	5	;	;	PUNCT
cet-9886	189	6	martin	martin	PROPN
cet-9886	189	7	,	,	PUNCT
cet-9886	189	8	r.	r.	PROPN
cet-9886	189	9	d.	d.	PROPN
cet-9886	189	10	and	and	CCONJ
cet-9886	189	11	v.	v.	ADP
cet-9886	189	12	yohai	yohai	PROPN
cet-9886	189	13	(	(	PUNCT
cet-9886	189	14	ed.1	ed.1	PROPN
cet-9886	189	15	)	)	PUNCT
cet-9886	189	16	,	,	PUNCT
cet-9886	189	17	2006	2006	NUM
cet-9886	189	18	,	,	PUNCT
cet-9886	189	19	robust	robust	ADJ
cet-9886	189	20	statistics	statistic	NOUN
cet-9886	189	21	:	:	PUNCT
cet-9886	189	22	theory	theory	NOUN
cet-9886	189	23	and	and	CCONJ
cet-9886	189	24	methods	method	NOUN
cet-9886	189	25	,	,	PUNCT
cet-9886	189	26	john	john	PROPN
cet-9886	189	27	wiley	wiley	PROPN
cet-9886	189	28	and	and	CCONJ
cet-9886	189	29	sons	sons	PROPN
cet-9886	189	30	ltd	ltd	PROPN
cet-9886	189	31	.	.	PROPN
cet-9886	189	32	:	:	PUNCT
cet-9886	190	1	chichester	chichester	PROPN
cet-9886	190	2	,	,	PUNCT
cet-9886	190	3	uk	uk	PROPN
cet-9886	190	4	.	.	PROPN
cet-9886	190	5	ozyurt	ozyurt	PROPN
cet-9886	190	6	,	,	PUNCT
cet-9886	190	7	d.	d.	PROPN
cet-9886	190	8	b.	b.	PROPN
cet-9886	190	9	,	,	PUNCT
cet-9886	190	10	r.	r.	PROPN
cet-9886	190	11	w.	w.	PROPN
cet-9886	190	12	pike	pike	PROPN
cet-9886	190	13	,	,	PUNCT
cet-9886	190	14	2004	2004	NUM
cet-9886	190	15	,	,	PUNCT
cet-9886	190	16	theory	theory	NOUN
cet-9886	190	17	and	and	CCONJ
cet-9886	190	18	practice	practice	NOUN
cet-9886	190	19	of	of	ADP
cet-9886	190	20	simultaneous	simultaneous	ADJ
cet-9886	190	21	data	datum	NOUN
cet-9886	190	22	reconciliation	reconciliation	NOUN
cet-9886	190	23	and	and	CCONJ
cet-9886	190	24	gross	gross	ADJ
cet-9886	190	25	error	error	NOUN
cet-9886	190	26	detection	detection	NOUN
cet-9886	190	27	for	for	ADP
cet-9886	190	28	chemical	chemical	NOUN
cet-9886	190	29	processes	process	NOUN
cet-9886	190	30	,	,	PUNCT
cet-9886	190	31	computers	computer	NOUN
cet-9886	190	32	&	&	CCONJ
cet-9886	190	33	chemical	chemical	PROPN
cet-9886	190	34	engineering	engineering	PROPN
cet-9886	190	35	,	,	PUNCT
cet-9886	190	36	28	28	NUM
cet-9886	190	37	,	,	PUNCT
cet-9886	190	38	381	381	NUM
cet-9886	190	39	-	-	SYM
cet-9886	190	40	402	402	NUM
cet-9886	190	41	.	.	PUNCT
cet-9886	191	1	prata	prata	PROPN
cet-9886	191	2	,	,	PUNCT
cet-9886	191	3	d.	d.	PROPN
cet-9886	191	4	m.	m.	PROPN
cet-9886	191	5	,	,	PUNCT
cet-9886	191	6	schwaab	schwaab	PROPN
cet-9886	191	7	,	,	PUNCT
cet-9886	191	8	m.	m.	NOUN
cet-9886	191	9	,	,	PUNCT
cet-9886	191	10	lima	lima	PROPN
cet-9886	191	11	,	,	PUNCT
cet-9886	191	12	e.	e.	PROPN
cet-9886	191	13	l.	l.	PROPN
cet-9886	191	14	,	,	PUNCT
cet-9886	191	15	pinto	pinto	PROPN
cet-9886	191	16	,	,	PUNCT
cet-9886	191	17	j.	j.	PROPN
cet-9886	191	18	c.	c.	PROPN
cet-9886	191	19	,	,	PUNCT
cet-9886	191	20	2010	2010	NUM
cet-9886	191	21	,	,	PUNCT
cet-9886	191	22	simultaneous	simultaneous	ADJ
cet-9886	191	23	robust	robust	ADJ
cet-9886	191	24	data	datum	NOUN
cet-9886	191	25	reconciliation	reconciliation	NOUN
cet-9886	191	26	and	and	CCONJ
cet-9886	191	27	gross	gross	ADJ
cet-9886	191	28	error	error	NOUN
cet-9886	191	29	detection	detection	NOUN
cet-9886	191	30	through	through	ADP
cet-9886	191	31	particle	particle	NOUN
cet-9886	191	32	swarm	swarm	NOUN
cet-9886	191	33	optimization	optimization	NOUN
cet-9886	191	34	for	for	ADP
cet-9886	191	35	an	an	DET
cet-9886	191	36	industrial	industrial	ADJ
cet-9886	191	37	polypropylene	polypropylene	NOUN
cet-9886	191	38	reactor	reactor	NOUN
cet-9886	191	39	.	.	PUNCT
cet-9886	192	1	chemical	chemical	NOUN
cet-9886	192	2	engineering	engineering	NOUN
cet-9886	192	3	science	science	NOUN
cet-9886	192	4	,	,	PUNCT
cet-9886	192	5	65(17	65(17	NUM
cet-9886	192	6	)	)	PUNCT
cet-9886	192	7	,	,	PUNCT
cet-9886	192	8	4943	4943	NUM
cet-9886	192	9	-	-	SYM
cet-9886	192	10	4954	4954	NUM
cet-9886	192	11	.	.	PUNCT
cet-9886	193	1	romagnoli	romagnoli	PROPN
cet-9886	193	2	,	,	PUNCT
cet-9886	193	3	j.	j.	PROPN
cet-9886	193	4	,	,	PUNCT
cet-9886	193	5	and	and	CCONJ
cet-9886	193	6	sánchez	sánchez	NOUN
cet-9886	193	7	,	,	PUNCT
cet-9886	193	8	m.	m.	NOUN
cet-9886	193	9	(	(	PUNCT
cet-9886	193	10	ed	ed	NOUN
cet-9886	193	11	)	)	PUNCT
cet-9886	193	12	,	,	PUNCT
cet-9886	193	13	2000	2000	NUM
cet-9886	193	14	,	,	PUNCT
cet-9886	193	15	data	datum	NOUN
cet-9886	193	16	processing	processing	NOUN
cet-9886	193	17	and	and	CCONJ
cet-9886	193	18	reconciliation	reconciliation	NOUN
cet-9886	193	19	for	for	ADP
cet-9886	193	20	chemical	chemical	NOUN
cet-9886	193	21	process	process	NOUN
cet-9886	193	22	operations	operation	NOUN
cet-9886	193	23	;	;	PUNCT
cet-9886	193	24	academic	academic	ADJ
cet-9886	193	25	press	press	NOUN
cet-9886	193	26	:	:	PUNCT
cet-9886	193	27	san	san	PROPN
cet-9886	193	28	diego	diego	PROPN
cet-9886	193	29	,	,	PUNCT
cet-9886	193	30	usa	usa	PROPN
cet-9886	193	31	.	.	PROPN
cet-9886	193	32	tjoa	tjoa	PROPN
cet-9886	193	33	,	,	PUNCT
cet-9886	193	34	i.	i.	PROPN
cet-9886	193	35	b.	b.	PROPN
cet-9886	193	36	,	,	PUNCT
cet-9886	193	37	biegler	biegler	NOUN
cet-9886	193	38	,	,	PUNCT
cet-9886	193	39	l.	l.	PROPN
cet-9886	193	40	t.	t.	PROPN
cet-9886	193	41	,	,	PUNCT
cet-9886	193	42	1991	1991	NUM
cet-9886	193	43	,	,	PUNCT
cet-9886	193	44	simultaneous	simultaneous	ADJ
cet-9886	193	45	strategies	strategy	NOUN
cet-9886	193	46	for	for	ADP
cet-9886	193	47	data	datum	NOUN
cet-9886	193	48	reconciliation	reconciliation	NOUN
cet-9886	193	49	and	and	CCONJ
cet-9886	193	50	gross	gross	ADJ
cet-9886	193	51	error	error	NOUN
cet-9886	193	52	detection	detection	NOUN
cet-9886	193	53	of	of	ADP
cet-9886	193	54	nonlinear	nonlinear	ADJ
cet-9886	193	55	systems	system	NOUN
cet-9886	193	56	.	.	PUNCT
cet-9886	194	1	computers	computer	NOUN
cet-9886	194	2	&	&	CCONJ
cet-9886	194	3	chemical	chemical	PROPN
cet-9886	194	4	engineering	engineering	PROPN
cet-9886	194	5	,	,	PUNCT
cet-9886	194	6	15	15	NUM
cet-9886	194	7	,	,	PUNCT
cet-9886	194	8	679−690	679−690	NOUN
cet-9886	194	9	.	.	PUNCT
cet-9886	194	10	zhang	zhang	PROPN
cet-9886	194	11	,	,	PUNCT
cet-9886	194	12	z.	z.	PROPN
cet-9886	194	13	and	and	CCONJ
cet-9886	194	14	j.	j.	PROPN
cet-9886	194	15	chen	chen	PROPN
cet-9886	194	16	,	,	PUNCT
cet-9886	194	17	2015	2015	NUM
cet-9886	194	18	,	,	PUNCT
cet-9886	194	19	correntropy	correntropy	NOUN
cet-9886	194	20	based	base	VERB
cet-9886	194	21	data	datum	NOUN
cet-9886	194	22	reconciliation	reconciliation	NOUN
cet-9886	194	23	and	and	CCONJ
cet-9886	194	24	gross	gross	ADJ
cet-9886	194	25	error	error	NOUN
cet-9886	194	26	detection	detection	NOUN
cet-9886	194	27	and	and	CCONJ
cet-9886	194	28	identification	identification	NOUN
cet-9886	194	29	for	for	ADP
cet-9886	194	30	nonlinear	nonlinear	ADJ
cet-9886	194	31	dynamic	dynamic	ADJ
cet-9886	194	32	processes	process	NOUN
cet-9886	194	33	,	,	PUNCT
cet-9886	194	34	computers	computer	NOUN
cet-9886	194	35	&	&	CCONJ
cet-9886	194	36	chemical	chemical	PROPN
cet-9886	194	37	engineering	engineering	PROPN
cet-9886	194	38	,	,	PUNCT
cet-9886	194	39	75	75	NUM
cet-9886	194	40	,	,	PUNCT
cet-9886	194	41	120	120	NUM
cet-9886	194	42	-	-	SYM
cet-9886	194	43	134	134	NUM
cet-9886	194	44	.	.	PUNCT
cet-9886	195	1	yong	yong	PROPN
cet-9886	195	2	j.y	j.y	PROPN
cet-9886	195	3	.	.	PROPN
cet-9886	195	4	,	,	PUNCT
cet-9886	195	5	varbanov	varbanov	PROPN
cet-9886	195	6	p.s	p.s	INTJ
cet-9886	195	7	.	.	PROPN
cet-9886	195	8	,	,	PUNCT
cet-9886	195	9	klemes	klemes	PROPN
cet-9886	195	10	j.j	j.j	PROPN
cet-9886	195	11	.	.	PROPN
cet-9886	195	12	,	,	PUNCT
cet-9886	195	13	2018	2018	NUM
cet-9886	195	14	,	,	PUNCT
cet-9886	195	15	data	datum	NOUN
cet-9886	195	16	reconciliation	reconciliation	NOUN
cet-9886	195	17	focusing	focus	VERB
cet-9886	195	18	on	on	ADP
cet-9886	195	19	the	the	DET
cet-9886	195	20	utility	utility	NOUN
cet-9886	195	21	system	system	NOUN
cet-9886	195	22	of	of	ADP
cet-9886	195	23	a	a	DET
cet-9886	195	24	total	total	ADJ
cet-9886	195	25	site	site	NOUN
cet-9886	195	26	,	,	PUNCT
cet-9886	195	27	chemical	chemical	NOUN
cet-9886	195	28	engineering	engineering	NOUN
cet-9886	195	29	transactions	transaction	NOUN
cet-9886	195	30	,	,	PUNCT
cet-9886	195	31	70	70	NUM
cet-9886	195	32	,	,	PUNCT
cet-9886	195	33	1987	1987	NUM
cet-9886	195	34	-	-	SYM
cet-9886	195	35	1992	1992	NUM
cet-9886	195	36	.	.	PUNCT
cet-9886	196	1	726	726	NUM