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

dc.creatorCortes, Isaac E.
dc.creatorVenegas, Osvaldo
dc.creatorGomez, Hector W.
dc.date2022
dc.date2022-08-01T18:52:49Z
dc.date2022-08-01T18:52:49Z
dc.date.accessioned2022-10-18T14:53:26Z
dc.date.available2022-10-18T14:53:26Z
dc.identifierMATHEMATICS,Vol.10,2022
dc.identifierhttps://repositoriodigital.uct.cl/handle/10925/4637
dc.identifier10.3390/math10121968
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4444438
dc.descriptionIn 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.languageen
dc.publisherMDPI
dc.sourceMATHEMATICS
dc.subjectbimodal distribution
dc.subjectlogistic distribution
dc.subjectmaximum likelihood
dc.subjectsymmetry
dc.subjectasymmetric
dc.titleA Symmetric/Asymmetric Bimodal Extension Based on the Logistic Distribution: Properties, Simulation and Applications
dc.typeArticle


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