An asymmetric bimodal distribution with application to quantile regression

Vista sencilla de ítem
dc.contributor.authorGómez, Yolanda M
dc.contributor.authorGómez-Déniz, Emilio
dc.contributor.authorVenegas, Osvaldo
dc.contributor.authorGallardo, Diego I.
dc.contributor.authorGómez, Héctor W.
dc.date.accessioned2024-04-22T23:09:00Z
dc.date.available2024-04-22T23:09:00Z
dc.date.issued2019
dc.description.abstractIn this article, we study an extension of the sinh Cauchy model in order to obtain asymmetric bimodality. The behavior of the distribution may be either unimodal or bimodal. We calculate its cumulative distribution function and use it to carry out quantile regression. We calculate the maximum likelihood estimators and carry out a simulation study. Two applications are analyzed based on real data to illustrate the flexibility of the distribution for modeling unimodal and bimodal data
dc.description.sponsorshipDIUDA programa de inserción No. 22367 of the Universidad de Atacama; SEMILLERO UA-2019
dc.identifier.doi10.3390/sym11070899
dc.identifier.issn2073-8994
dc.identifier.urihttps://repositorioabierto.uantof.cl/handle/uantof/374
dc.language.isoen
dc.publisherMDPI
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceSymmetry
dc.subjectasymmetric bimodal distribution
dc.subjectbimodal
dc.subjectmaximum likelihood
dc.titleAn asymmetric bimodal distribution with application to quantile regression
dc.typeArticle
oaire.citation.issue899
oaire.citation.volume11
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
Miniatura
Nombre:
symmetry-11-00899.pdf
Tamaño:
2.89 MB
Formato:
Adobe Portable Document Format
Descargar
Colecciones
Departamento de Matemáticas