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A note on Bayesian estimation of process capability indices

dc.citation.epage224en_US
dc.citation.issue3en_US
dc.citation.spage215en_US
dc.citation.volume45en_US
dc.citation.woscount11
dc.contributor.authorShiau, JJHen_US
dc.contributor.authorHung, HNen_US
dc.contributor.authorChiang, CTen_US
dc.contributor.department統計學研究所zh_TW
dc.contributor.departmentInstitute of Statisticsen_US
dc.date.accessioned2014-12-08T15:46:03Z
dc.date.available2014-12-08T15:46:03Z
dc.date.issued1999-11-15en_US
dc.description.abstractProcess capability indices are useful for assessing the capability of manufacturing processes. Most traditional methods are obtained from the frequentist point of view. We view the problem fi om the Bayes and empirical Bayes approaches by using non-informative and conjugate priors, respectively. (C) 1999 Elsevier Science B.V. All rights reserved.en_US
dc.identifier.issn0167-7152en_US
dc.identifier.journalSTATISTICS & PROBABILITY LETTERSen_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/30966
dc.identifier.wosnumberWOS:000082784700004
dc.language.isoen_USen_US
dc.subjectprocess capability indicesen_US
dc.subjectBayesian approachen_US
dc.subjectBayes estimatorsen_US
dc.subjectnon-informative prioren_US
dc.subjectconjugate prioren_US
dc.titleA note on Bayesian estimation of process capability indicesen_US
dc.typeArticleen_US

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