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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/41589
DC FieldValueLanguage
dc.contributor.authorGómez-Déniz, E.en_US
dc.contributor.authorSarabia, J. M.en_US
dc.contributor.authorCalderín-Ojeda, Enriqueen_US
dc.date.accessioned2018-07-17T16:04:09Z-
dc.date.available2018-07-17T16:04:09Z-
dc.date.issued2018en_US
dc.identifier.issn0361-0918en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/41589-
dc.description.abstractIn this paper, a new discrete two–parameter distribution α ∈ ℜ − {0} and 0 < θ < 1, the Geometric ArcTan (GAT) distribution is introduced. The geometric distribution is a limiting case of this model when α tends to zero. Similarly to the the latter distribution, this probabilistic family is unimodal but the mode can be located at zero or in other point of the support. Then, after deriving some of its more relevant properties, the issue of parameter investigation is investigated. Next, the GAT distribution is used to explain the demand for health services by means of a regression model. Numerical results show that this new model outperforms the negative binomial distribution.en_US
dc.languageengen_US
dc.relationNuevos Desarrollos en Métodos Cuantitativos Bayesianos. Aplicaciónes en Evaluación Económica de Tratamientos Mediante Meta-Análisis y Medición de Riesgos Con Datos Actuarialesen_US
dc.relationECO2013-48326-C2-2-Pen_US
dc.relation.ispartofCommunications in Statistics Part B: Simulation and Computationen_US
dc.sourceCommunications in Statistics: Simulation and Computation[ISSN 0361-0918], v. 48(4), p. 1101-1120en_US
dc.subject12 Matemáticasen_US
dc.subject1209 Estadísticaen_US
dc.subject32 Ciencias médicasen_US
dc.subject.otherEstimationen_US
dc.subject.otherGeometric Distributionen_US
dc.subject.otherMedical Careen_US
dc.subject.otherNegative Binomialen_US
dc.subject.otherDistributionen_US
dc.subject.otherOverdispersionen_US
dc.subject.otherRegressionen_US
dc.titleThe Geometric ArcTan distribution with applications to model demand for health servicesen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/03610918.2017.1406509en_US
dc.identifier.scopus85041098866-
dc.identifier.isi000469998200010-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85041098866-
dc.contributor.authorscopusid15724912000-
dc.contributor.authorscopusid6701455820-
dc.contributor.authorscopusid23479414700-
dc.identifier.eissn1532-4141-
dc.description.lastpage20en_US
dc.identifier.issue4-
dc.description.firstpage1en_US
dc.relation.volume48en_US
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.contributor.daisngid610603-
dc.contributor.daisngid311897-
dc.contributor.daisngid1844848-
dc.description.numberofpages20en_US
dc.utils.revisionSíen_US
dc.contributor.wosstandardWOS:Gomez-Deniz, E-
dc.contributor.wosstandardWOS:Sarabia, JM-
dc.contributor.wosstandardWOS:Calderin-Ojeda, E-
dc.date.coverdateAbril 2019en_US
dc.identifier.ulpgcSíen_US
dc.contributor.buulpgcBU-ECOen_US
dc.description.sjr0,398
dc.description.jcr0,49
dc.description.sjrqQ3
dc.description.jcrqQ4
dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
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-
crisitem.project.principalinvestigatorVázquez Polo, Francisco José-
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