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Article: The analysis of process variation transmission with multivariate measurements

TitleThe analysis of process variation transmission with multivariate measurements
Authors
Fong, DYTLawless, JF
KeywordsE-M Algorithm
Kalman Filter
Measurement Error
Missing Data
Issue Date1998
PublisherAcademia Sinica, Institute of Statistical Science. The Journal's web site is located at http://www.stat.sinica.edu.tw/statistica/
Citation
Statistica Sinica, 1998, v. 8 n. 1, p. 151-164 How to Cite?
AbstractThis article discusses methods of estimating the variation in product quality characteristics measured at several stages in a manufacturing process. By determining which stages contribute most to variation one can focus variation reduction activities more effectively. A multivariate normal Markov process is used to model the variation in characteristics. Methods that deal with measurement error and missing data are introduced through a state space formulation.
Persistent Identifierhttp://hdl.handle.net/10722/178257
ISSN
1017-0405
2023 Impact Factor: 1.5
2023 SCImago Journal Rankings: 1.368
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorFong, DYTen_US
dc.contributor.authorLawless, JFen_US
dc.date.accessioned2012-12-19T09:44:47Z-
dc.date.available2012-12-19T09:44:47Z-
dc.date.issued1998en_US
dc.identifier.citationStatistica Sinica, 1998, v. 8 n. 1, p. 151-164en_US
dc.identifier.issn1017-0405en_US
dc.identifier.urihttp://hdl.handle.net/10722/178257-
dc.description.abstractThis article discusses methods of estimating the variation in product quality characteristics measured at several stages in a manufacturing process. By determining which stages contribute most to variation one can focus variation reduction activities more effectively. A multivariate normal Markov process is used to model the variation in characteristics. Methods that deal with measurement error and missing data are introduced through a state space formulation.en_US
dc.languageengen_US
dc.publisherAcademia Sinica, Institute of Statistical Science. The Journal's web site is located at http://www.stat.sinica.edu.tw/statistica/en_US
dc.relation.ispartofStatistica Sinicaen_US
dc.subjectE-M Algorithmen_US
dc.subjectKalman Filteren_US
dc.subjectMeasurement Erroren_US
dc.subjectMissing Dataen_US
dc.titleThe analysis of process variation transmission with multivariate measurementsen_US
dc.typeArticleen_US
dc.identifier.emailFong, DYT: dytfong@hku.hken_US
dc.identifier.authorityFong, DYT=rp00253en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0032382671en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0032382671&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume8en_US
dc.identifier.issue1en_US
dc.identifier.spage151en_US
dc.identifier.epage164en_US
dc.publisher.placeTaiwan, Republic of Chinaen_US
dc.identifier.scopusauthoridFong, DYT=35261710300en_US
dc.identifier.scopusauthoridLawless, JF=35619190100en_US
dc.identifier.issnl1017-0405-

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