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Analysis of joint multiple failure mode and linear degradation data with renewals. by V. Bagdonaviçius, A. Bikelis, V. Kazakeviçius and M.Nikulin.

dc.contributor.authorBAGDONAVIÇIUS, Vilijandas
hal.structure.identifierDepartment of Statistics [Vilnius]
dc.contributor.authorBIKELIS, Algirdas
dc.contributor.authorKAZAKEVIÇIUS, Vytautas
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorNIKULIN, Mikhail
dc.date.created2007
dc.date.issued2007
dc.identifier.issn0378-3758
dc.description.abstractEnNon-parametric estimators of various competing modes intensities and failure probabilities from linear degradation-failure time data with partial renewals are given. Decompositions of counting processes associated with degradation and failure moments are obtained. Some of these decompositions imply estimation procedures. Other are used to obtain asymptotic properties of estimators. Conditions for the uniform consistence of the estimators are given. The limit law of the estimators is obtained.
dc.language.isoen
dc.publisherElsevier
dc.title.enAnalysis of joint multiple failure mode and linear degradation data with renewals. by V. Bagdonaviçius, A. Bikelis, V. Kazakeviçius and M.Nikulin.
dc.typeArticle de revue
dc.subject.halMathématiques [math]/Statistiques [math.ST]
dc.subject.halStatistiques [stat]/Applications [stat.AP]
bordeaux.journalJournal of Statistical Planning and Inference
bordeaux.page2191-2207
bordeaux.volume137
bordeaux.issue7
bordeaux.peerReviewedoui
hal.identifierhal-00208044
hal.version1
hal.popularnon
hal.audienceInternationale
dc.subject.itCompeting risks
dc.subject.itDegradation
dc.subject.itJoint model
dc.subject.itNon-parametric estimation
dc.subject.itRenewals
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00208044v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20Statistical%20Planning%20and%20Inference&rft.date=2007&rft.volume=137&rft.issue=7&rft.spage=2191-2207&rft.epage=2191-2207&rft.eissn=0378-3758&rft.issn=0378-3758&rft.au=BAGDONAVI%C3%87IUS,%20Vilijandas&BIKELIS,%20Algirdas&KAZAKEVI%C3%87IUS,%20Vytautas&NIKULIN,%20Mikhail&rft.genre=article


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