Bivariate power-skew-elliptical distribution

dc.contributor.authorMartínez-Flórez, G.
dc.contributor.authorTovar-Falón, R.
dc.contributor.authorGómez, H.W.
dc.date.accessioned2024-04-22T23:09:16Z
dc.date.available2024-04-22T23:09:16Z
dc.date.issued2020
dc.description.abstractIn this article, we introduce a power-skew-elliptical (PSE) distribution in the bivariate setting. The new bivariate model arises in the context of conditionally specified distributions. The proposed bivariate model is an absolutely continuous distribution whose marginals are univariate PSEdistributions. The special case of the bivariate power-skew-normal (BPSN) distribution is studied in details. General properties of the BPSN distribution are derived and the estimation of the unknown parameters by maximum pseudo-likelihood is discussed. Further, a sandwich type matrix, which is a consistent estimator for the asymptotic covariance matrix of the maximum likelihood (ML) estimator is determined. Two applications for real data of the proposed bivariate distribution is provided for illustrative purposes.
dc.description.sponsorshipSEMILLERO UA-2020; Universidade Federal de Ceará, Fortaleza, Brazil.
dc.identifier.doi10.3390/sym12081327
dc.identifier.issn2073-8994
dc.identifier.urihttps://repositorioabierto.uantof.cl/handle/uantof/389
dc.language.isoen
dc.publisherMDPI
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceSymmetry
dc.subjectskew-elliptical distribution
dc.subjectexponentiated distribution
dc.subjectmaximum pseudo-likelihood
dc.subjectasymmetric data
dc.subjectbivariate distribution
dc.titleBivariate power-skew-elliptical distribution
dc.typeArticle
oaire.citation.endPage20
oaire.citation.issue1327
oaire.citation.startPage1
oaire.citation.volume12
organization.identifier.rorhttps://ror.org/04eyc6d95
organization.legalNameUniversidad de Antofagasta
uantof.identificator.departmentDepartamento de Matemáticas
uantof.identificator.facultyFacultad de Ciencias Básicas
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