Profile Monitoring via Linear Mixed Models

dc.contributor.authorJensen, Willis A.en
dc.contributor.authorBirch, Jeffrey B.en
dc.contributor.authorWoodall, William H.en
dc.contributor.departmentStatisticsen
dc.date.accessioned2019-05-08T19:46:13Zen
dc.date.available2019-05-08T19:46:13Zen
dc.date.issued2006en
dc.description.abstractProfile monitoring is a relatively new technique in quality control used when the product or process quality is best represented by a profile (or a curve) at each time period. The essential idea is often to model the profile via some parametric method and then monitor the estimated parameters over time to determine if there have been changes in the profiles. Previous modeling methods have not incorporated the correlation structure within the profiles. We propose the use of linear mixed models to monitor the linear profiles in order to account for the correlation structure within a profile. We consider various data scenarios and show using simulation when the linear mixed model approach is preferable to an approach that ignores the correlation structure. Our focus is on Phase I control chart applications.en
dc.format.extent46 pagesen
dc.format.mimetypeapplication/pdfen
dc.identifier.sourceurlhttps://www.stat.vt.edu/content/dam/stat_vt_edu/graphics-and-pdfs/research-papers/Technical_Reports/TechReport06-2.pdfen
dc.identifier.urihttp://hdl.handle.net/10919/89393en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.ispartofseriesTechnical Report No. 06-02en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjecteblupsen
dc.subjectlinear mixed modelsen
dc.subjectmultivariate statistical process controlen
dc.subjectphase Ien
dc.subjectT² statisticen
dc.titleProfile Monitoring via Linear Mixed Modelsen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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