Bivariate Extended Exponential-Geometric Distributions

dc.contributor.authorDimitrakopoulou, T.en
dc.contributor.authorAdamidis, K.en
dc.contributor.authorLoukas, S.en
dc.date.accessioned2015-11-24T17:22:16Z
dc.date.available2015-11-24T17:22:16Z
dc.identifier.issn0361-0926-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/12589
dc.rightsDefault Licence-
dc.subjectbivariate geometric distributionsen
dc.subjectextended exponential-geometric distributionen
dc.subjecthazard functionen
dc.subjectmodified extreme value distributionen
dc.subjectpearson correlation coefficienten
dc.subjectsurvival functionen
dc.subjectreliabilityen
dc.subjectextensionen
dc.titleBivariate Extended Exponential-Geometric Distributionsen
heal.abstractIn this article four derivations are presented, for an absolutely continuous bivariate extension of the Extended Exponential-Geometric distribution (EEG) introduced by Adamidis et al. (2005). Three of these derivations are based on "shock models" and one is based on the assumption of a two component system working in a varying environment. Marginal and conditional distributions are obtained and their corresponding survival and hazard functions are calculated. The dependence in the proposed bivariate distributions is evaluated by means of the Pearson correlation coefficient.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.primaryDoi 10.1080/03610926.2010.535628-
heal.identifier.secondary<Go to ISI>://000304525100001-
heal.identifier.secondaryhttp://www.tandfonline.com/doi/pdf/10.1080/03610926.2010.535628-
heal.journalNameCommunications in Statistics-Theory and Methodsen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate2012-
heal.publisherTaylor & Francisen
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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