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dc.contributor.author차지환*
dc.date.accessioned2024-02-06T16:31:03Z-
dc.date.available2024-02-06T16:31:03Z-
dc.date.issued2024*
dc.identifier.issn0026-1335*
dc.identifier.otherOAK-34602*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/266987-
dc.description.abstractIn spite of the practical usefulness of the nonhomogeneous Poisson process, it still has some restrictions. To overcome these restrictions, the Poisson Lindley process has been recently developed and introduced in Cha (Stat Probab Lett 152: 74–81, 2019). In this paper, we further generalize the Poisson Lindley process, so that the developed counting process model should have the restarting property and it should include the generalized Polya process as a special case. Some basic stochastic properties of the developed counting process model are derived. Dependence properties and stochastic comparisons are also discussed under a more general framework. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.*
dc.languageEnglish*
dc.publisherSpringer Science and Business Media Deutschland GmbH*
dc.subjectGeneralized polya process*
dc.subjectPoisson generalized lindley process*
dc.subjectPositive dependence*
dc.subjectRestarting property*
dc.subjectStochastic properties*
dc.titlePoisson generalized Lindley process and its properties*
dc.typeArticle*
dc.relation.issue1*
dc.relation.volume87*
dc.relation.indexSCIE*
dc.relation.indexSCOPUS*
dc.relation.startpage61*
dc.relation.lastpage74*
dc.relation.journaltitleMetrika*
dc.identifier.doi10.1007/s00184-023-00906-4*
dc.identifier.scopusid2-s2.0-85159576015*
dc.author.googleCha*
dc.author.googleJi Hwan*
dc.author.googleBadía*
dc.author.googleF.G.*
dc.contributor.scopusid차지환(7202455739)*
dc.date.modifydate20240502145036*
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