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dc.contributor.authorPearn, W. L.en_US
dc.contributor.authorWang, F. K.en_US
dc.contributor.authorYen, C. H.en_US
dc.date.accessioned2014-12-08T15:15:01Z-
dc.date.available2014-12-08T15:15:01Z-
dc.date.issued2007en_US
dc.identifier.issn0266-4763en_US
dc.identifier.urihttp://hdl.handle.net/11536/11293-
dc.identifier.urihttp://dx.doi.org/10.1080/02664760701590475en_US
dc.description.abstractProcess capability indices have been widely used in the manufacturing industry for measuring process reproduction capability according to manufacturing specifications. Properties of the univariate processes have been investigated extensively, but are comparatively neglected for multivariate processes where multiple dependent characteristics are involved in quality measurement. In this paper, we consider two commonly used multivariate capability indices MCp and MCpm, to evaluate multivariate process capability. We investigate the statistical properties of the estimated MCp and obtain the lower confidence bound for MCp. We also consider testing MCp, and provide critical values for testing if a multivariate process meets the preset capability requirement. In addition, an approximate confidence interval for MCpm is derived. A simulation study is conducted to ascertain the accuracy of the approximation. Three examples are presented to illustrate the applicability of the obtained results.en_US
dc.language.isoen_USen_US
dc.subjectmultivariate capability indexen_US
dc.subjectlower confidence bounden_US
dc.subjecthypothesis testingen_US
dc.subjectcritical valueen_US
dc.titleMultivariate capability indices: Distributional and inferential propertiesen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/02664760701590475en_US
dc.identifier.journalJOURNAL OF APPLIED STATISTICSen_US
dc.citation.volume34en_US
dc.citation.issue8en_US
dc.citation.spage941en_US
dc.citation.epage962en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:000251082600005-
dc.citation.woscount12-
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