Unit-bimodal Birnbaum-Saunders distribution with applications

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datacite.alternateIdentifier.citationCOMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION,Vol.,2022
datacite.alternateIdentifier.doi10.1080/03610918.2022.2069260
datacite.creatorMartinez Florez, Guillermo
datacite.creatorOlmos, Neveka M.
datacite.creatorVenegas, Osvaldo
datacite.date2022
datacite.subject.englishCensoring
datacite.subject.englishMaximum likelihood estimation
datacite.subject.englishBirnbaum-Saunders distribution
datacite.subject.englishRegression model
datacite.titleUnit-bimodal Birnbaum-Saunders distribution with applications
dc.date.accessioned2022-06-06T21:30:41Z
dc.date.available2022-06-06T21:30:41Z
dc.description.abstractIn this paper, we consider a transformation in a random variable which follows a bimodal Birnbaum-Saunders distribution. We propose the unit-bimodal Birnbaum-Saunders (UBBS) distribution and investigate some of its important properties, like cumulative distribution function, moments, survival function and risk function. We apply the UBBS distribution to censored data inflated at zero and one. We used the maximum likelihood approach for parameter estimation and to compare the models. Given the flexibility in UBBS distribution modes, our proposal performs best in beta regression models with zero and/or one excess.
dc.identifier.urihttps://repositoriodigital.uct.cl/handle/10925/4581
dc.language.isoen
dc.publisherTAYLOR & FRANCIS INC
dc.sourceCOMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
uct.indizacionSCI
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