Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/75499
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dc.contributor.authorMartínez-Flórez, Guillermoen_US
dc.contributor.authorLeiva, Víctoren_US
dc.contributor.authorGómez-Déniz, Emilioen_US
dc.contributor.authorMarchant, Carolinaen_US
dc.date.accessioned2020-11-12T20:41:01Z-
dc.date.available2020-11-12T20:41:01Z-
dc.date.issued2020en_US
dc.identifier.issn2073-8994en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/75499-
dc.description.abstractIn this paper, we consider skew-normal distributions for constructing new a distribution which allows us to model proportions and rates with zero/one inflation as an alternative to the inflated beta distributions. The new distribution is a mixture between a Bernoulli distribution for explaining the zero/one excess and a censored skew-normal distribution for the continuous variable. The maximum likelihood method is used for parameter estimation. Observed and expected Fisher information matrices are derived to conduct likelihood-based inference in this new type skew-normal distribution. Given the flexibility of the new distributions, we are able to show, in real data scenarios, the good performance of our proposal.en_US
dc.languageengen_US
dc.relation.ispartofSymmetryen_US
dc.sourceSymmetry [EISSN 2073-8994], v. 12 (9), 1439, (Septiembre 2020)en_US
dc.subject5302 Econometríaen_US
dc.subject.otherBeta Distributionen_US
dc.subject.otherCentered Skew-Normal Distributionen_US
dc.subject.otherMaximum-Likelihood Methodsen_US
dc.subject.otherMonte Carlo Simulationsen_US
dc.subject.otherProportionsen_US
dc.subject.otherR Softwareen_US
dc.subject.otherRatesen_US
dc.subject.otherZero/One Inflated Dataen_US
dc.titleA family of skew-normal distributions for modeling proportions and rates with zeros/ones excessen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/sym12091439en_US
dc.identifier.scopus85091013315-
dc.contributor.authorscopusid55536045100-
dc.contributor.authorscopusid22953630400-
dc.contributor.authorscopusid15724912000-
dc.contributor.authorscopusid55094211400-
dc.identifier.eissn2073-8994-
dc.identifier.issue9-
dc.relation.volume12en_US
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.description.notasThis article belongs to the Special Issue Symmetric and Asymmetric Distributions: Theoretical Developments and Applications IIen_US
dc.utils.revisionen_US
dc.date.coverdateSeptiembre 2020en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-ECOen_US
dc.description.sjr0,385
dc.description.jcr2,713
dc.description.sjrqQ2
dc.description.jcrqQ2
dc.description.scieSCIE
item.fulltextCon texto completo-
item.grantfulltextopen-
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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