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dc.contributor.author차지환*
dc.date.accessioned2020-03-16T16:30:20Z-
dc.date.available2020-03-16T16:30:20Z-
dc.date.issued2020*
dc.identifier.issn1133-0686*
dc.identifier.otherOAK-26518*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/253518-
dc.description.abstractMost often, perfect repair is conventionally understood as a replacement of the failed item by the new one. However, contrary to the common perception, new does not mean automatically that the distribution to the next failure is identical to that on the previous cycle. First, it can be different due to dynamic environment and, secondly, due to heterogeneity of items for replacement. Both of these causes that affect the failure mechanism of items are studied. Environment is modeled by the non-homogeneous Poisson shock process. Two models for the failure mechanism defined by the extreme shock model and the cumulative shock model are considered. Examples illustrating our findings are presented. © 2019, Sociedad de Estadística e Investigación Operativa.*
dc.languageEnglish*
dc.publisherSpringer*
dc.subjectInformation-based perfect repair*
dc.subjectShock environment*
dc.subjectStatistical perfect repair*
dc.subjectStochastic intensity*
dc.titleIs perfect repair always perfect?*
dc.typeArticle*
dc.relation.issue1*
dc.relation.volume29*
dc.relation.indexSCIE*
dc.relation.indexSCOPUS*
dc.relation.startpage90*
dc.relation.lastpage104*
dc.relation.journaltitleTest*
dc.identifier.doi10.1007/s11749-019-00645-7*
dc.identifier.wosidWOS:000512996600006*
dc.identifier.scopusid2-s2.0-85061734137*
dc.author.googleCha J.H.*
dc.author.googleFinkelstein M.*
dc.contributor.scopusid차지환(7202455739)*
dc.date.modifydate20231123095848*
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자연과학대학 > 통계학전공 > Journal papers
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