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dc.contributor.authorGERVILLE-RÉACHE, Léo
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorNIKULIN, Mikhail
dc.date.created2007
dc.date.issued2007
dc.identifier.issn1684-3703
dc.description.abstractEnFailure of highly reliable units are rare and it may be not possible to gather the failure time data needed for reliability estimation. One way of obtaining failures during the time given for experiments is to apply methods of accelerated life testing (ALT). In ALT units are tested at higher than usual stress conditions. As a result, failures which in normal conditions would occur only after a long testing, can be observed and the size of data can be enlarged. Using failure time data from accelerated experiments, statistical inference about item reliability under normal stress must be done. To solve this statistical problem the so-called accelerated life models are used to model the relationship between failure time data and covariate data like internal degradation and external environmental processes. A number of such models was proposed by engineers who considered physics of failure formation process of certain products or by statisticians.
dc.language.isoen
dc.publisherICAQM
dc.subject.enAccelerated degradation model
dc.subject.enAccelerated life testing
dc.subject.enAccelerated Failure Time model
dc.subject.encollapsible model
dc.subject.enCox model
dc.subject.endegradation process
dc.subject.enfailure
dc.subject.enGeneralized Proportional Hazard model
dc.subject.enSedyakin model
dc.subject.enstress
dc.subject.enstep-stress
dc.subject.entime-varying stress
dc.subject.entraumatic failure
dc.subject.enWeibull family
dc.subject.enGeneralized Weibull.
dc.title.enSome recent results on accelerated failure time models with time-varying stresses, by L.Gerville-Reache and M.Nikulin
dc.typeArticle de revue
dc.subject.halMathématiques [math]/Statistiques [math.ST]
dc.subject.halStatistiques [stat]/Théorie [stat.TH]
dc.subject.halStatistiques [stat]/Applications [stat.AP]
dc.subject.halSciences du Vivant [q-bio]/Cancer
bordeaux.journalQuality technology & quantitative management
bordeaux.page143-155
bordeaux.volume4
bordeaux.issue1
bordeaux.peerReviewedoui
hal.identifierhal-00208045
hal.version1
hal.popularnon
hal.audienceInternationale
dc.subject.itGeneralized Weibull
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00208045v1
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