Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/124491
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dc.contributor.authorGómez Déniz, Emilioen_US
dc.contributor.authorVenegas, Osvaldoen_US
dc.contributor.authorGómez, Héctor W.en_US
dc.date.accessioned2023-09-19T09:12:23Z-
dc.date.available2023-09-19T09:12:23Z-
dc.date.issued2023en_US
dc.identifier.issn0103-0752en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/124491-
dc.description.abstractIn this paper, a new family of continuous random variables with positive support is introduced. Its density function has the capacity to incor-porate features of unimodality and bimodality. Special attention is paid to the lognormal distribution which is included as a particular case. Its density function is given in closed-form, allowing probabilities, moments and other related measures such as skewness and kurtosis coefficients to be computed easily. In addition, a stochastic representation of the family that enables us to generate random variates of this model is also presented. Some properties related with the right tail and actuarial aspects of the distribution are also shown. This new family of distributions is numerically illustrated with data taken from the Medical Expenditure Panel Survey (MEPS), conducted by the US Agency of Health Research and Quality and with a well-known data set which has been studied widely in the actuarial literature.en_US
dc.languageengen_US
dc.relation.ispartofBrazilian Journal of Probability and Statisticsen_US
dc.sourceBrazilian Journal of Probability and Statistics[ISSN 0103-0752],v. 37 (2), p. 263-281, (Junio 2023)en_US
dc.subject530202 Modelos econométricosen_US
dc.subject.otherBimodal Distributionen_US
dc.subject.otherFolded Normal Distributionen_US
dc.subject.otherHyperbolic Functionen_US
dc.subject.otherLognormal Dis-Tributionen_US
dc.titleBeyond the lognormal distribution with properties and applicationsen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1214/22-BJPS546en_US
dc.identifier.scopus85170075158-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.authorscopusid57222422694-
dc.contributor.authorscopusid6506769962-
dc.contributor.authorscopusid10639386400-
dc.description.lastpage281en_US
dc.identifier.issue2-
dc.description.firstpage263en_US
dc.relation.volume37en_US
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.date.coverdateJunio 2023en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-ECOen_US
dc.description.sjr0,404
dc.description.jcr1,0
dc.description.sjrqQ3
dc.description.jcrqQ3
dc.description.scieSCIE
dc.description.miaricds9,0
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-
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