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dc.contributor.author차지환-
dc.date.accessioned2018-12-03T16:30:13Z-
dc.date.available2018-12-03T16:30:13Z-
dc.date.issued2018-
dc.identifier.issn1614-7839-
dc.identifier.otherOAK-23878-
dc.identifier.urihttp://dspace.ewha.ac.kr/handle/2015.oak/247190-
dc.description.abstractIn Chap. 8, a new point process, the Generalized Polya Process (GPP), has been characterized and its simple reliability application has been discussed. The crucial distinction of the GPP from the nonhomogeneous Poisson process (NHPP) is that the former does not possess the property of independent increments, which is really appealing as many real world problems can be described via the dependent events. For instance, in various shock models, a system’s susceptibility to shocks increases with the number of shocks experienced previously and the GPP models this phenomenon. As another example, the future reliability performance of a system deteriorates faster as the number of system failures in the past increases. © 2018, Springer International Publishing AG.-
dc.languageEnglish-
dc.publisherSpringer London-
dc.titleApplications of the generalized Polya process-
dc.typeBook Chapter-
dc.relation.indexSCOPUS-
dc.relation.startpage279-
dc.relation.lastpage327-
dc.relation.journaltitleSpringer Series in Reliability Engineering-
dc.identifier.doi10.1007/978-3-319-73540-5_9-
dc.identifier.scopusid2-s2.0-85041055666-
dc.author.googleCha J.H.-
dc.author.googleFinkelstein M.-
dc.contributor.scopusid차지환(7202455739)-
dc.date.modifydate20181203143616-
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자연과학대학 > 통계학전공 > Journal papers
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