A Symmetric/Asymmetric Bimodal Extension Based on the Logistic Distribution: Properties, Simulation and Applications

Simple item page
datacite.alternateIdentifier.citationMATHEMATICS,Vol.10,2022
datacite.alternateIdentifier.doi10.3390/math10121968
datacite.creatorCortes, Isaac E.
datacite.creatorVenegas, Osvaldo
datacite.creatorGomez, Hector W.
datacite.date2022
datacite.subject.englishbimodal distribution
datacite.subject.englishlogistic distribution
datacite.subject.englishmaximum likelihood
datacite.subject.englishsymmetry
datacite.subject.englishasymmetric
datacite.titleA Symmetric/Asymmetric Bimodal Extension Based on the Logistic Distribution: Properties, Simulation and Applications
dc.date.accessioned2022-08-01T18:52:49Z
dc.date.available2022-08-01T18:52:49Z
dc.description.abstractIn this paper, we introduce bimodal extensions, one symmetric and one asymmetric, of the logistic distribution. We define this new density and study some basic properties. We draw inferences from the moment estimator and maximum likelihood approaches. We present a simulation study to assess the behaviour of the moment and maximum likelihood estimators. We also study the singularity of the Fisher information matrix for particular cases. We offer applications in real data and compare them with a mixture of logistics distributions.
dc.identifier.urihttps://repositoriodigital.uct.cl/handle/10925/4637
dc.language.isoen
dc.publisherMDPI
dc.sourceMATHEMATICS
oaire.resourceTypeArticle
uct.indizacionSCI
Files
Collections
MigraciĆ³n Web of Science