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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.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primary10.1007/s10463-010-0309-2-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.publicationDate2012-
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.publisherThe Institute of Statistical Mathematics,en
heal.journalNameAnnals of the Institute of Statistical Mathematicsen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΜΑΘ

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