Unit-Power Half-Normal Distribution Including QuantileRegression with Applications to Medical Data

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dc.contributor.authorKarol I. Santoro
dc.contributor.authorYolanda M. Gómez
dc.contributor.authorDarlin Soto
dc.contributor.authorInmaculada Barranco Chamorro
dc.date.accessioned2026-04-06T18:54:44Z
dc.date.available2026-04-06T18:54:44Z
dc.date.issued2024
dc.description.abstractIn this paper, we present the unit-power half-normal distribution, derived from the power half-normal distribution, for data analysis in the open unit interval. The statistical properties of the unit-power half-normal model are described in detail. Simulation studies are carried out to evaluate the performance of the parameter estimators. Additionally, we implement the quantile regression for this model, which is applied to two real healthcare data sets. Our findings suggest that the unitpower half-normal distribution provides a robust and flexible alternative for existing models for proportion data
dc.description.sponsorshipIOAP of the University of Seville, Spain
dc.identifier.doi10.3390/axioms13090599
dc.identifier.issn2075-1680
dc.identifier.urihttps://repositorioabierto.uantof.cl/handle/uantof/682
dc.language.isoen
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceAxioms
dc.titleUnit-Power Half-Normal Distribution Including QuantileRegression with Applications to Medical Data
dc.typeArticle
oaire.citation.volume13
organization.identifier.rorUniversidad de Antofagasta
uantof.identificator.departmentDepartamento de Estadística y Ciencia de Datos
uantof.identificator.facultyFacultad de Ciencias Básicas
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