Estimating parameters of the power law process with two measures of failure time

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dc.contributor.authorAhn, Chang-Wonko
dc.contributor.authorChae, Kyung-Chulko
dc.contributor.authorClark, Gordon M.ko
dc.date.accessioned2013-02-27T21:58:04Z-
dc.date.available2013-02-27T21:58:04Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1998-04-
dc.identifier.citationJOURNAL OF QUALITY TECHNOLOGY, v.30, no.2, pp.127 - 132-
dc.identifier.issn0022-4065-
dc.identifier.urihttp://hdl.handle.net/10203/71077-
dc.description.abstractWe introduce a method of combining two time indices, such as mileage and age, into a single index that resembles the Cobb-Douglas production function. Then we present the power law process with this synthesized time index as a model for the reliability of a repairable system, such as an automobile. For the purpose of estimating parameters, we propose two procedures: one is a modified maximum likelihood procedure and the other a least-squares fitting of the mean value function. The performances of the two estimation procedures are compared and analyzed.-
dc.languageEnglish-
dc.publisherAMER SOC QUALITY CONTROL-ASQC-
dc.subjectMODELS-
dc.titleEstimating parameters of the power law process with two measures of failure time-
dc.typeArticle-
dc.identifier.wosid000073245300003-
dc.identifier.scopusid2-s2.0-0032050273-
dc.type.rimsART-
dc.citation.volume30-
dc.citation.issue2-
dc.citation.beginningpage127-
dc.citation.endingpage132-
dc.citation.publicationnameJOURNAL OF QUALITY TECHNOLOGY-
dc.contributor.localauthorChae, Kyung-Chul-
dc.contributor.nonIdAuthorAhn, Chang-Won-
dc.contributor.nonIdAuthorClark, Gordon M.-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorleast-squares estimation-
dc.subject.keywordAuthormaximum likelihood estimation-
dc.subject.keywordAuthormean value function-
dc.subject.keywordAuthorWeibull process-
dc.subject.keywordPlusMODELS-
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