A Bimodal Model Based on Truncation Positive Normal with Application to Height Data

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dc.contributor.authorGomez, Hector J.
dc.contributor.authorCaimanque, Wilson E.
dc.contributor.authorGomez, Yolanda M.
dc.contributor.authorMagalhaes, Tiago M.
dc.contributor.authorConcha, Miguel
dc.contributor.authorGallardo, Diego, I
dc.date2022
dc.date.accessioned2022-06-06T21:30:42Z
dc.date.available2022-06-06T21:30:42Z
dc.description.abstractIn this work, we propose a new bimodal distribution with support in the real line. We obtain some properties of the model, such as moments, quantiles, and mode, among others. The computational implementation of the model is presented in the tpn package of the software R. We perform a simulation study in order to assess the properties of the maximum likelihood estimators in finite samples. Finally, we present an application to a bimodal data set, where our proposal is compared with other models in the literature.
dc.identifier.citationSYMMETRY-BASEL,Vol.14,2022
dc.identifier.doi10.3390/sym14040665
dc.identifier.urihttps://repositoriodigital.uct.cl/handle/10925/4596
dc.language.isoen
dc.publisherMDPI
dc.rights.licenseLicencia Creative Commons CC BY de Acceso Abierto.
dc.sourceSYMMETRY-BASEL
dc.subject.englishbimodal distribution
dc.subject.englishunimodal distribution
dc.subject.englishtpn package
dc.subject.englishmaximum likelihood estimation
dc.subject.englishasymmetric
dc.titleA Bimodal Model Based on Truncation Positive Normal with Application to Height Data
dc.typeArticle
uct.indizacionSCI
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