Bimodal extension based on the skew-t-normal distribution

dc.contributor.authorAmiri, Mehdi
dc.contributor.authorGómez, Héctor W.
dc.contributor.authorJamalizadeh, Ahad
dc.contributor.authorTowhidi, Mina
dc.date.accessioned2024-04-22T23:09:16Z
dc.date.available2024-04-22T23:09:16Z
dc.date.issued2019
dc.description.abstractIn this paper, a skew and uni-/bi-modal extension of the Student-t distribution is considered. This model is more flexible and has wider ranges of skewness and kurtosis than the other skew distributions in literature. Fisher information matrix for the proposed model and some submodels are derived. With a simulation study and some real data sets, applicability of the proposed models are illustrated.
dc.description.sponsorshipFONDECYT (Chile) 1130495
dc.identifier.doi10.1214/17-BJPS372
dc.identifier.issn0103-0752
dc.identifier.urihttps://repositorioabierto.uantof.cl/handle/uantof/388
dc.language.isoen
dc.publisherBrazilian Statistical Association
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceBrazilian Journal of Probability and Statistics
dc.titleBimodal extension based on the skew-t-normal distribution
dc.typeArticle
oaire.citation.endPage23
oaire.citation.startPage2
oaire.citation.volume33
organization.identifier.rorhttps://ror.org/04eyc6d95
organization.legalNameUniversidad de Antofagasta
uantof.identificator.departmentDepartamento de Matemáticas
uantof.identificator.facultyFacultad de Ciencias Básicas
Archivos
Bloque original
Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
Download.pdf
Tamaño:
351.43 KB
Formato:
Adobe Portable Document Format