View : 664 Download: 0

Full metadata record

DC Field Value Language
dc.contributor.author차지환*
dc.date.accessioned2016-08-27T04:08:08Z-
dc.date.available2016-08-27T04:08:08Z-
dc.date.issued2014*
dc.identifier.issn0001-8678*
dc.identifier.issn1475-6064*
dc.identifier.otherOAK-12399*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/216995-
dc.description.abstractIn this paper some important properties of the generalized Polya process are derived and their applications are discussed. The generalized Polya process is defined based on the stochastic intensity. By interpreting the defined stochastic intensity of the generalized Polya process, the restarting property of the process is discussed. Based on the restarting property of the process, the joint distribution of the number of events is derived and the conditional joint distribution of the arrival times is also obtained. In addition, some properties of the compound process defined for the generalized Polya process are derived. Furthermore, a new type of repair is defined based on the process and its application to the area of reliability is discussed. Several examples illustrating the applications of the obtained properties to various areas are suggested.*
dc.languageEnglish*
dc.publisherAPPLIED PROBABILITY TRUST*
dc.subjectGeneralized Polya process*
dc.subjectrestarting property*
dc.subjectdistribution of the number of events*
dc.subjectconditional arrival time distribution*
dc.subjectrepair type*
dc.subjectreliability application*
dc.titleCHARACTERIZATION OF THE GENERALIZED POLYA PROCESS AND ITS APPLICATIONS*
dc.typeArticle*
dc.relation.issue4*
dc.relation.volume46*
dc.relation.indexSCI*
dc.relation.indexSCIE*
dc.relation.indexSCOPUS*
dc.relation.startpage1148*
dc.relation.lastpage1171*
dc.relation.journaltitleADVANCES IN APPLIED PROBABILITY*
dc.identifier.wosidWOS:000348557300012*
dc.identifier.scopusid2-s2.0-84919340982*
dc.author.googleCha, Ji Hwan*
dc.contributor.scopusid차지환(7202455739)*
dc.date.modifydate20231123095848*
Appears in Collections:
자연과학대학 > 통계학전공 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

BROWSE