Flexible Birnbaum-Saunders distribution

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dc.contributor.authorMartínez-Flórez, Guillermo
dc.contributor.authorBarranco-Chamorro, Inmaculada
dc.contributor.authorBolfarine, Heleno
dc.contributor.authorGómez, HectorW.
dc.date.accessioned2024-04-22T23:08:54Z
dc.date.available2024-04-22T23:08:54Z
dc.date.issued2019
dc.description.abstractIn this paper, we propose a bimodal extension of the Birnbaum–Saunders model by including an extra parameter. This new model is termed flexible Birnbaum–Saunders (FBS) and includes the ordinary Birnbaum–Saunders (BS) and the skew Birnbaum–Saunders (SBS) model as special cases. Its properties are studied. Parameter estimation is considered via an iterative maximum likelihood approach. Two real applications, of interest in environmental sciences, are included, which reveal that our proposal can perform better than other competing models.
dc.description.sponsorshipCTM2015-68276-R (Spain); SEMILLERO UA-2019 (Chile)
dc.identifier.doi10.3390/sym11101305
dc.identifier.issn2073-8994
dc.identifier.urihttps://repositorioabierto.uantof.cl/handle/uantof/369
dc.language.isoen
dc.publisherMDPI
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceSymmetry
dc.subjectflexible skew-normal distribution
dc.subjectskew Birnbaum-Saunders distribution
dc.subjectbimodality
dc.subjectmaximum likelihood estimation
dc.subjectFisher information matrix
dc.titleFlexible Birnbaum-Saunders distribution
dc.typeArticle
oaire.citation.issue1305
oaire.citation.volume11
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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