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dc.contributor.author차지환*
dc.date.accessioned2017-12-27T16:31:16Z-
dc.date.available2017-12-27T16:31:16Z-
dc.date.issued2017*
dc.identifier.issn0307-904X*
dc.identifier.otherOAK-21359*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/239452-
dc.description.abstractIn this paper, we stochastically model positively dependent multivariate reliability distributions based on stochastically dependent dynamic shock models. In the first part, we consider a shock model with delayed failures. This shock model will be used to construct a class of absolutely continuous multivariate reliability distributions. Explicit parametric forms for the multivariate reliability functions are suggested. Multivariate ageing properties and dependence structures of the class are discussed as well. In the second part, we obtain two types of absolutely continuous multivariate exponential distributions based on further generalized shock models. © 2017 Elsevier Inc.*
dc.languageEnglish*
dc.publisherElsevier Inc.*
dc.subjectCommon shock*
dc.subjectMultivariate IFR*
dc.subjectNonhomogeneous Poisson process*
dc.subjectPositive upper orthant dependent*
dc.subjectShock models*
dc.titleMultivariate reliability modelling based on dependent dynamic shock models*
dc.typeArticle*
dc.relation.volume51*
dc.relation.indexSCIE*
dc.relation.indexSCOPUS*
dc.relation.startpage199*
dc.relation.lastpage216*
dc.relation.journaltitleApplied Mathematical Modelling*
dc.identifier.doi10.1016/j.apm.2017.06.032*
dc.identifier.wosidWOS:000412253100011*
dc.identifier.scopusid2-s2.0-85028967488*
dc.author.googleCha J.H.*
dc.author.googleBadía F.G.*
dc.contributor.scopusid차지환(7202455739)*
dc.date.modifydate20231123095848*
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자연과학대학 > 통계학전공 > Journal papers
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