On concomitants of upper record statistics and survival analysis for a pseudo-Gompertz distribution

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dc.contributor.authorYorubulut, Serap
dc.contributor.authorGebizlioglu, Omer L.
dc.date.accessioned2020-06-25T18:12:21Z
dc.date.available2020-06-25T18:12:21Z
dc.date.issued2014
dc.departmentKırıkkale Üniversitesi
dc.descriptionGebizlioglu, Omer/0000-0002-3824-281X
dc.description.abstractThis paper presents upper record statistics and their concomitants for a bivariate pseudo-Gompertz distribution about paired lifetime variables. Survival and hazard functions are derived for the distribution. The survival and hazard functions are displayed for some selected values of the parameters of concern. Interpretations are given for the potential reliability and actuarial applications of the obtained results. (C) 2013 Elsevier B.V. All rights reserved.en_US
dc.identifier.citationYörübulut, S., Gebizlioglu, Ö. L. (2014).On concomitants of upper record statistics and survival analysis for a pseudo-Gompertz distribution. J. Comput. Appl. Math. 256: 211-218.en_US
dc.identifier.doi10.1016/j.cam.2013.07.017
dc.identifier.endpage218en_US
dc.identifier.issn0377-0427
dc.identifier.issn1879-1778
dc.identifier.scopus2-s2.0-84883337894
dc.identifier.scopusqualityQ1
dc.identifier.startpage211en_US
dc.identifier.urihttps://doi.org/10.1016/j.cam.2013.07.017
dc.identifier.urihttps://hdl.handle.net/20.500.12587/5877
dc.identifier.volume256en_US
dc.identifier.wosWOS:000325665900017
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevieren_US
dc.relation.ispartofJournal Of Computational And Applied Mathematics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectRecord valuesen_US
dc.subjectConcomitantsen_US
dc.subjectPseudo-distributionen_US
dc.subjectSurvival functionen_US
dc.subjectHazard functionen_US
dc.titleOn concomitants of upper record statistics and survival analysis for a pseudo-Gompertz distributionen_US
dc.typeArticle

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