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dc.contributor.author차지환*
dc.date.accessioned2018-12-03T16:30:14Z-
dc.date.available2018-12-03T16:30:14Z-
dc.date.issued2018*
dc.identifier.issn1614-7839*
dc.identifier.otherOAK-23870*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/247198-
dc.description.abstractIn this chapter, we introduce the ‘multivariate generalized Polya process (MVGPP)’ recently developed in the literature and discuss its properties. Initially, we define and study bivariate generalized Polya process and briefly discuss the corresponding reliability application. The bivariate generalized Polya process is extended to the multivariate case. We define a new dependence concept for multivariate point processes and, based on it, we analyze the dependence structure of the multivariate generalized Polya process. © 2018, Springer International Publishing AG.*
dc.languageEnglish*
dc.publisherSpringer London*
dc.titleMultivariate generalized Polya process*
dc.typeBook Chapter*
dc.relation.indexSCOPUS*
dc.relation.startpage329*
dc.relation.lastpage350*
dc.relation.journaltitleSpringer Series in Reliability Engineering*
dc.identifier.doi10.1007/978-3-319-73540-5_10*
dc.identifier.scopusid2-s2.0-85041022500*
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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