1. accedaCRIS
  2. Publicaciones
  3. Artículos
Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/130754
DC FieldValueLanguage
dc.contributor.authorOlmos, Neveka M.en_US
dc.contributor.authorGómez Déniz, Emilioen_US
dc.contributor.authorVenegas, Osvaldoen_US
dc.date.accessioned2024-06-03T11:22:50Z-
dc.date.available2024-06-03T11:22:50Z-
dc.date.issued2024en_US
dc.identifier.issn2227-7390en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/130754-
dc.description.abstractIn this paper, the scale mixture of the Gleser (SMG) distribution is introduced. This new distribution is the product of a scale mixture between the Gleser (G) distribution and the Beta(a,1) distribution. The SMG distribution is an alternative to distributions with two parameters and a heavy right tail. We study its representation and some basic properties, maximum likelihood inference, and Fisher's information matrix. We present an application to a real dataset in which the SMG distribution shows a better fit than two other known distributions.en_US
dc.languageengen_US
dc.relation.ispartofMathematicsen_US
dc.sourceMathematics,v. 12 (9), (Mayo 2024)en_US
dc.subject530202 Modelos econométricosen_US
dc.subject.otherGleser Distributionen_US
dc.subject.otherHeavy-Tailed Distributionen_US
dc.subject.otherMaximum Likelihooden_US
dc.subject.otherScale Mixtureen_US
dc.titleScale mixture of gleser distribution with an application to insurance dataen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/math12091397en_US
dc.identifier.isi001220046900001-
dc.identifier.eissn2227-7390-
dc.identifier.issue9-
dc.relation.volume12en_US
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.contributor.daisngidNo ID-
dc.contributor.daisngidNo ID-
dc.contributor.daisngidNo ID-
dc.description.numberofpages12en_US
dc.utils.revisionSíen_US
dc.contributor.wosstandardWOS:Olmos, NM-
dc.contributor.wosstandardWOS:Gómez-Déniz, E-
dc.contributor.wosstandardWOS:Venegas, O-
dc.date.coverdateMayo 2024en_US
dc.identifier.ulpgcSíen_US
dc.contributor.buulpgcBU-ECOen_US
dc.description.sjr0,475
dc.description.jcr2,4
dc.description.sjrqQ2
dc.description.jcrqQ1
dc.description.scieSCIE
dc.description.miaricds10,4
item.grantfulltextopen-
item.fulltextCon 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-
Appears in Collections:Artículos
Adobe PDF (2,62 MB)
Show simple item record

Page view(s)

74
checked on Nov 9, 2024

Download(s)

142
checked on Nov 9, 2024

Google ScholarTM

Check

Altmetric


Share


Export metadata


Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.