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dc.contributor.author차지환*
dc.date.accessioned2016-08-29T12:08:43Z-
dc.date.available2016-08-29T12:08:43Z-
dc.date.issued2016*
dc.identifier.issn0021-9002*
dc.identifier.otherOAK-18481*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/231496-
dc.description.abstractA cascading failure is a failure in a system of interconnected parts in which the failure of a part can trigger the failure of successive parts. Although an initial and introductory approach for probabilistic modeling and analysis of the cascading failures was suggested in the literature, any general framework and fundamental results have yet to be reported. In this paper, applying the point process approach, we suggest a general framework for modeling and analysis of the cascading failures. Furthermore, a new concept of 'information-based residual lifetime' will be defined and discussed. © Applied Probability Trust 2016.*
dc.languageEnglish*
dc.publisherApplied Probability Trust*
dc.subjectCascading failure*
dc.subjectInformation-based residual lifetime*
dc.subjectRisk measure*
dc.subjectStochastic intensity*
dc.subjectκ-out-of-n system*
dc.titlePoint process approach to modeling and analysis of general cascading failure models*
dc.typeArticle*
dc.relation.issue1*
dc.relation.volume53*
dc.relation.indexSCI*
dc.relation.indexSCIE*
dc.relation.indexSCOPUS*
dc.relation.startpage174*
dc.relation.lastpage186*
dc.relation.journaltitleJournal of Applied Probability*
dc.identifier.doi10.1017/jpr.2015.17*
dc.identifier.wosidWOS:000374172100014*
dc.identifier.scopusid2-s2.0-84963588892*
dc.author.googleLee H.*
dc.author.googleCha J.H.*
dc.contributor.scopusid차지환(7202455739)*
dc.date.modifydate20231123095848*
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자연과학대학 > 통계학전공 > Journal papers
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