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dc.contributor.author차지환-
dc.date.accessioned2019-06-04T16:30:05Z-
dc.date.available2019-06-04T16:30:05Z-
dc.date.issued2019-
dc.identifier.issn0167-7152-
dc.identifier.otherOAK-24852-
dc.identifier.urihttp://dspace.ewha.ac.kr/handle/2015.oak/249904-
dc.description.abstractUntil now, the nonhomogeneous Poisson process has been intensively applied in various practical applications due to its merits. However, at the same time, it has also critical limitations in applications. To overcome these limitations, a new counting process model (called Poisson Lindley Process) is developed. It will be shown that this new counting process model does not have such limitations. Some basic stochastic properties are derived. In addition, a new concept for positive dependent increments is defined and the dependence structure is analyzed. Some of the properties obtained in this paper will be stated in general forms. One of the important contributions of this paper is to provide a new counting process model which allows explicit expression of the likelihood function. © 2019 Elsevier B.V.-
dc.languageEnglish-
dc.publisherElsevier B.V.-
dc.subjectCompound Poisson Lindley process-
dc.subjectPoisson Lindley process-
dc.subjectPositive dependence-
dc.subjectStochastic processes-
dc.subjectStochastic properties-
dc.titlePoisson Lindley process and its main properties-
dc.typeArticle-
dc.relation.volume152-
dc.relation.indexSCIE-
dc.relation.indexSCOPUS-
dc.relation.startpage74-
dc.relation.lastpage81-
dc.relation.journaltitleStatistics and Probability Letters-
dc.identifier.doi10.1016/j.spl.2019.04.008-
dc.identifier.scopusid2-s2.0-85065721982-
dc.author.googleCha J.H.-
dc.contributor.scopusid차지환(7202455739)-
dc.date.modifydate20190604110741-
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자연과학대학 > 통계학전공 > Journal papers
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