A sequential order statistics approach to step-stress testing

dc.contributor.authorKateri, M.en
dc.contributor.authorBalakrishnan, N.en
dc.contributor.authorKamps, U.en
dc.date.accessioned2015-11-24T17:26:03Z
dc.date.available2015-11-24T17:26:03Z
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/13139
dc.rightsDefault Licence-
dc.subjectAccelerated life-testing · Step-stress experiment · Generalized orderen
dc.subjectstatistics · k-out-of-n system · Location-scale family of distributions · Maximumen
dc.subjectlikelihood estimation · Order restricted inferenceen
dc.titleA sequential order statistics approach to step-stress testingen
heal.abstractFor general step-stress experiments with arbitrary baseline distributions, wherein the stress levels change immediately after having observed pre-specified numbers of observations under each stress level, a sequential order statistics model is proposed and associated inferential issues are discussed. Maximum likelihood estimators (MLEs) of the mean lifetimes at different stress levels are derived, and some useful properties of the MLEs are established. Joint MLEs are also derived when an additional location parameter is introduced into the model, and estimation under order restriction of the parameters at different stress levels is finally discussed.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.primary10.1007/s10463-010-0309-2-
heal.journalNameAnnals of the Institute of Statistical Mathematicsen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate2012-
heal.publisherThe Institute of Statistical Mathematics,en
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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