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dc.contributor.authorPearn, WLen_US
dc.contributor.authorChang, CSen_US
dc.date.accessioned2014-12-08T15:02:09Z-
dc.date.available2014-12-08T15:02:09Z-
dc.date.issued1997en_US
dc.identifier.issn0361-0918en_US
dc.identifier.urihttp://hdl.handle.net/11536/842-
dc.description.abstractWright (1995) considered a new process capability index C-s, which extends the most useful index to date for processes with two-sided specification limits, C-pmk proposed by Pearn, Kotz and Johnson (1992). The new index C-s not only takes into account the process variation as well as the location of the process mean relative to the specification limits, but also considers the asymmetry of the distribution by incorporating a penalty for skewness. Wright(1995) investigated an estimator of C-s and studied its bias and variance by simulation. The simulation study, however, was restricted to normal distributions where skewness is not present. In this paper, we extend Wright's simulation study to cover some skewed distributions including chi-square, lognormal, and Weibull distributions for some parameter values. The results show that the percentage bias of the estimator increases as the skewness coefficient mu(3)/sigma(3) increases. Extensive simulation results, comparisons, and analysis are provided.en_US
dc.language.isoen_USen_US
dc.subjectprocess capability indicesen_US
dc.subjectspecification limitsen_US
dc.subjectprocess meanen_US
dc.subjectprocess standard deviationen_US
dc.subjectskewed distributionsen_US
dc.titleThe performance of process capability index C-s on skewed distributionsen_US
dc.typeArticleen_US
dc.identifier.journalCOMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATIONen_US
dc.citation.volume26en_US
dc.citation.issue4en_US
dc.citation.spage1361en_US
dc.citation.epage1377en_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:A1997YJ67700008-
dc.citation.woscount3-
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