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dc.contributor.authorPearn, WLen_US
dc.contributor.authorLin, GHen_US
dc.date.accessioned2014-12-08T15:43:40Z-
dc.date.available2014-12-08T15:43:40Z-
dc.date.issued2001-07-01en_US
dc.identifier.issn0748-8017en_US
dc.identifier.urihttp://dx.doi.org/10.1002/qre.378en_US
dc.identifier.urihttp://hdl.handle.net/11536/29536-
dc.description.abstractGreenwich and Jahr-Schaffrath (1995) introduced the process incapability index C-pp = C-ip + C-ia, which provides an uncontaminated separation between information concerning the process precision (C-ip) and process accuracy (C-ia)- In this paper, we consider the three indices, and investigate the statistical properties of their natural estimators. For the three indices, we obtain their UMVUEs and MLEs, and compare the reliability of the two estimators based on the relative mean square errors. In addition, we construct 90%, 95%, and 99% upper confidence limits, and the maximum values of C-pp for which the process is capable 90%, 95%, and 99% of the time. The results obtained in this paper are useful to the practitioners in choosing good estimators and making reliable decisions on judging process capability. Copyright (C) 2001 John Wiley & Sons, Ltd.en_US
dc.language.isoen_USen_US
dc.subjectimprecision indexen_US
dc.subjectinaccuracy indexen_US
dc.subjectUMVUEen_US
dc.subjectMLEen_US
dc.subjectrelative mean square erroren_US
dc.titleOn the reliability of the estimated incapability indexen_US
dc.typeArticleen_US
dc.identifier.doi10.1002/qre.378en_US
dc.identifier.journalQUALITY AND RELIABILITY ENGINEERING INTERNATIONALen_US
dc.citation.volume17en_US
dc.citation.issue4en_US
dc.citation.spage279en_US
dc.citation.epage290en_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:000170697500007-
dc.citation.woscount12-
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