A Composite Half-Normal-Pareto Distribution with Applications to Income and Expenditure Data

dc.contributor.authorNeveka M. Olmos
dc.contributor.authorEmilio Gómez-Déniz
dc.contributor.authorOsvaldo Venegas
dc.contributor.authorHéctor W. Gómez
dc.date.accessioned2026-04-02T14:44:34Z
dc.date.available2026-04-02T14:44:34Z
dc.date.issued2024
dc.description.abstractThe half-normal distribution is composited with the Pareto model to obtain a uni-parametric distribution with a heavy right tail, called the composite half-normal-Pareto distribution. This new distribution is useful for modeling positive data with atypical observations. We study the properties and the behavior of the right tail of this new distribution. We estimate the parameter using a method based on percentiles and the maximum likelihood method and assess the performance of the maximum likelihood estimator using Monte Carlo. We report three applications, one with simulated data and the others with income and expenditure data, in which the new distribution presents better performance than the Pareto distribution.
dc.description.sponsorshipSemillero UA-2024
dc.identifier.doi10.3390/math12111631
dc.identifier.issn22277390
dc.identifier.urihttps://repositorioabierto.uantof.cl/handle/uantof/678
dc.language.isoen
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceMathematics
dc.titleA Composite Half-Normal-Pareto Distribution with Applications to Income and Expenditure 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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