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dc.contributor.authorYorubulut, Serap
dc.contributor.authorGebizlioglu, Omer L.
dc.date.accessioned2020-06-25T18:07:08Z
dc.date.available2020-06-25T18:07:08Z
dc.date.issued2013
dc.identifier.citationYörübulut, Serap & Gebizlioglu, Omer. (2013). Bivariate Pseudo–Gompertz distribution and concomitants of its order statistics. Journal of Computational and Applied Mathematics. 247. 68–83.en_US
dc.identifier.issn0377-0427
dc.identifier.urihttps://doi.org/10.1016/j.cam.2013.01.006
dc.identifier.urihttps://hdl.handle.net/20.500.12587/5491
dc.descriptionGebizlioglu, Omer/0000-0002-3824-281Xen_US
dc.descriptionWOS: 000316588300005en_US
dc.description.abstractThis paper presents a new bivariate Pseudo-Gompertz distribution that sprouts from the classical Gompertz distribution and possesses the features of pseudo-distribution functions. In addition to some standard properties of the proposed distribution, distributions of order statistics and their concomitants for samples drawn from the new distribution are obtained. The survival and hazard functions of the concomitants are shown and their values are tabled. Interpretations of the results are given in connection with risk events and risk management. (C) 2013 Elsevier B.V. All rights reserved.en_US
dc.language.isoengen_US
dc.publisherElsevier Science Bven_US
dc.relation.isversionof10.1016/j.cam.2013.01.006en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBivariate Gompertz distributionen_US
dc.subjectPseudo-distributionen_US
dc.subjectOrder statisticsen_US
dc.subjectConcomitantsen_US
dc.subjectSurvival functionen_US
dc.subjectInsurance and reliabilityen_US
dc.titleBivariate Pseudo-Gompertz distribution and concomitants of its order statisticsen_US
dc.typearticleen_US
dc.contributor.departmentKırıkkale Üniversitesien_US
dc.identifier.volume247en_US
dc.identifier.startpage68en_US
dc.identifier.endpage83en_US
dc.relation.journalJournal Of Computational And Applied Mathematicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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