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

dc.creatorGomez, Hector J.
dc.creatorCaimanque, Wilson E.
dc.creatorGomez, Yolanda M.
dc.creatorMagalhaes, Tiago M.
dc.creatorConcha, Miguel
dc.creatorGallardo, Diego, I
dc.date2022
dc.date2022-06-06T21:30:42Z
dc.date2022-06-06T21:30:42Z
dc.date.accessioned2022-10-18T14:52:02Z
dc.date.available2022-10-18T14:52:02Z
dc.identifierSYMMETRY-BASEL,Vol.14,2022
dc.identifierhttps://repositoriodigital.uct.cl/handle/10925/4596
dc.identifier10.3390/sym14040665
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4443947
dc.descriptionIn 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.languageen
dc.publisherMDPI
dc.sourceSYMMETRY-BASEL
dc.subjectbimodal distribution
dc.subjectunimodal distribution
dc.subjecttpn package
dc.subjectmaximum likelihood estimation
dc.subjectasymmetric
dc.titleA Bimodal Model Based on Truncation Positive Normal with Application to Height Data
dc.typeArticle


Este ítem pertenece a la siguiente institución