A Weighted Skew-Logistic Distribution with Applicationsto Environmental Data

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dc.contributor.authorIsaac Cortés
dc.contributor.authorJimmy Reyes
dc.contributor.authorYuri A. Iriarte
dc.date.accessioned2026-03-23T13:38:32Z
dc.date.available2026-03-23T13:38:32Z
dc.date.issued2024
dc.description.abstractSkewness and bimodality properties are frequently observed when analyzing environmental data such as wind speeds, precipitation levels, and ambient temperatures. As an alternative to modeling data exhibiting these properties, we propose a flexible extension of the skew-logistic distribution. The proposal corresponds to a weighted version of the skewed logistic distribution, defined by a parametric weight function that allows shapes with up to three modes for the resulting density.Parameter estimation via the maximum likelihood approach is discussed. Simulation experiments are carried out to evaluate the performance of the estimators. Applications to environmental data illustrating the utility of the proposal are presented.
dc.description.sponsorshipNo existe
dc.identifier.doi10.3390/math12091287
dc.identifier.issn22277390
dc.identifier.urihttps://repositorioabierto.uantof.cl/handle/uantof/670
dc.language.isoen
dc.sourceMathematics
dc.titleA Weighted Skew-Logistic Distribution with Applicationsto Environmental Data
dc.typeArticle
oaire.citation.volume12
organization.identifier.rorUniversidad de Antofagasta
uantof.identificator.departmentDepartamento de Estadística y Ciencia de Datos
uantof.identificator.facultyFacultad de Ciencias Básicas
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