An Asymmetric Bimodal Distribution with Application to Quantile Regression

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dc.contributor.authorGomez, Yolanda M.
dc.contributor.authorGomez Deniz, Emilio
dc.contributor.authorVenegas, Osvaldo
dc.contributor.authorGallardo, Diego, I
dc.contributor.authorGomez, Hector W.
dc.date2019
dc.date.accessioned2021-04-30T16:59:13Z
dc.date.available2021-04-30T16:59:13Z
dc.description.abstractIn this article, we study an extension of the sinh Cauchy model in order to obtain asymmetric bimodality. The behavior of the distribution may be either unimodal or bimodal. We calculate its cumulative distribution function and use it to carry out quantile regression. We calculate the maximum likelihood estimators and carry out a simulation study. Two applications are analyzed based on real data to illustrate the flexibility of the distribution for modeling unimodal and bimodal data.
dc.identifier.citationSYMMETRY-BASEL,Vol.11,,2019
dc.identifier.doi10.3390/sym11070899
dc.identifier.urihttp://repositoriodigital.uct.cl/handle/10925/3737
dc.language.isoen
dc.publisherMDPI
dc.sourceSYMMETRY-BASEL
dc.subject.englishasymmetric bimodal distribution
dc.subject.englishbimodal
dc.subject.englishmaximum likelihood
dc.titleAn Asymmetric Bimodal Distribution with Application to Quantile Regression
dc.typeArticle
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