Bivariate Pseudo-Gompertz distribution and concomitants of its order statistics

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dc.contributor.authorYorubulut, Serap
dc.contributor.authorGebizlioğlu, Ömer Lütfi
dc.date.accessioned2019-06-27T08:03:30Z
dc.date.available2019-06-27T08:03:30Z
dc.date.issued2013
dc.departmentFakülteler, İşletme Fakültesi, Uluslararası Ticaret ve Finans Bölümüen_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.identifier.citation11
dc.identifier.doi10.1016/j.cam.2013.01.006en_US
dc.identifier.endpage83
dc.identifier.issn0377-0427en_US
dc.identifier.issn0377-0427
dc.identifier.scopus2-s2.0-84873352499en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage68en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/798
dc.identifier.urihttps://doi.org/10.1016/j.cam.2013.01.006
dc.identifier.volume247en_US
dc.identifier.wosWOS:000316588300005en_US
dc.identifier.wosqualityQ1
dc.institutionauthorGebizlioğlu, Ömer Lütfien_US
dc.language.isoenen_US
dc.publisherElsevier Science Bven_US
dc.relation.journalJournal Of Computational And Applied Mathematicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_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
dspace.entity.typePublication

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