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

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datacite.alternateIdentifier.citationSYMMETRY-BASEL,Vol.14,2022
datacite.alternateIdentifier.doi10.3390/sym14040665
datacite.creatorGomez, Hector J.
datacite.creatorCaimanque, Wilson E.
datacite.creatorGomez, Yolanda M.
datacite.creatorMagalhaes, Tiago M.
datacite.creatorConcha, Miguel
datacite.creatorGallardo, Diego, I
datacite.date2022
datacite.subject.englishbimodal distribution
datacite.subject.englishunimodal distribution
datacite.subject.englishtpn package
datacite.subject.englishmaximum likelihood estimation
datacite.subject.englishasymmetric
datacite.titleA Bimodal Model Based on Truncation Positive Normal with Application to Height Data
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.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
oaire.resourceTypeArticle
uct.indizacionSCI
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