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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/41309
DC FieldValueLanguage
dc.contributor.authorGómez–Déniz, E.en_US
dc.contributor.authorGhitany, M. E.en_US
dc.contributor.authorGhitany, Ramesh C.en_US
dc.date.accessioned2018-06-18T12:19:40Z-
dc.date.available2018-06-18T12:19:40Z-
dc.date.issued2017en_US
dc.identifier.issn0361-0926en_US
dc.identifier.urihttp://hdl.handle.net/10553/41309-
dc.description.abstractThis paper proposes a bivariate version of the univariate discrete generalized geometric distribution considered by Gomez-Deniz (2010). The proposed bivariate distribution can have a positive or negative correlation coefficient which can be used for modeling bivariate-dependent count data. After discussing some of its properties, maximum likelihood estimation is discussed. Two illustrative examples are given for fitting and demonstrating the usefulness of the new bivariate distribution proposed here.en_US
dc.languageengen_US
dc.relation.ispartofCommunications in Statistics - Theory and Methodsen_US
dc.sourceCommunications in Statistics - Theory and Methods[ISSN 0361-0926],v. 46, p. 5453-5465en_US
dc.subject530204 Estadística económicaen_US
dc.subject.otherGeometric distributionen_US
dc.subject.otherJoint distributionsen_US
dc.subject.otherMarginal distributionsen_US
dc.subject.otherMarshall and Olkin family of distributionsen_US
dc.subject.otherOverdispersionen_US
dc.subject.otherUnderdispersionen_US
dc.titleA bivariate generalized geometric distribution with applicationsen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticlees
dc.identifier.doi10.1080/03610926.2015.1102285
dc.identifier.scopus85013072482
dc.identifier.isi000395183400019-
dc.contributor.authorscopusid15724912000
dc.contributor.authorscopusid6602733980
dc.contributor.authorscopusid55705318800
dc.identifier.eissn1532-415X-
dc.description.lastpage5465-
dc.identifier.issue11-
dc.description.firstpage5453-
dc.relation.volume46-
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.contributor.daisngid610603
dc.contributor.daisngid977733
dc.contributor.daisngid218753
dc.contributor.wosstandardWOS:Gomez-Deniz, E
dc.contributor.wosstandardWOS:Ghitany, ME
dc.contributor.wosstandardWOS:Gupta, RC
dc.date.coverdateJunio 2017
dc.identifier.ulpgcSíes
dc.description.sjr0,352
dc.description.jcr0,353
dc.description.sjrqQ3
dc.description.jcrqQ4
dc.description.scieSCIE
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR TIDES- Técnicas estadísticas bayesianas y de decisión en la economía y empresa-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0002-5072-7908-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNameGómez Déniz, Emilio-
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