Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 차지환 | * |
dc.date.accessioned | 2018-12-03T16:30:14Z | - |
dc.date.available | 2018-12-03T16:30:14Z | - |
dc.date.issued | 2018 | * |
dc.identifier.issn | 1614-7839 | * |
dc.identifier.other | OAK-23870 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/247198 | - |
dc.description.abstract | In 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.language | English | * |
dc.publisher | Springer London | * |
dc.title | Multivariate generalized Polya process | * |
dc.type | Book Chapter | * |
dc.relation.index | SCOPUS | * |
dc.relation.startpage | 329 | * |
dc.relation.lastpage | 350 | * |
dc.relation.journaltitle | Springer Series in Reliability Engineering | * |
dc.identifier.doi | 10.1007/978-3-319-73540-5_10 | * |
dc.identifier.scopusid | 2-s2.0-85041022500 | * |
dc.author.google | Cha J.H. | * |
dc.author.google | Finkelstein M. | * |
dc.contributor.scopusid | 차지환(7202455739) | * |
dc.date.modifydate | 20231123095848 | * |