Confluent hypergeometric slashed-Rayleigh distribution: Properties, estimation and applications

Simple item page
datacite.alternateIdentifier.citationJOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS,Vol.368,,2020
datacite.alternateIdentifier.doi10.1016/j.cam.2019.112548
datacite.creatorOlmos, Neveka M.
datacite.creatorVenegas, Osvaldo
datacite.creatorGomez, Yolanda M.
datacite.creatorIriarte, Yuri A.
datacite.date2020
datacite.subject.englishConfluent hypergeometric
datacite.subject.englishSlashed-Rayleigh distribution
datacite.subject.englishRayleigh distribution
datacite.subject.englishKurtosis
datacite.subject.englishEM algorithm
datacite.titleConfluent hypergeometric slashed-Rayleigh distribution: Properties, estimation and applications
dc.date.accessioned2021-04-30T16:47:47Z
dc.date.available2021-04-30T16:47:47Z
dc.description.abstractThis article proposes a new distribution, the Confluent hypergeometric slashed-Rayleigh distribution. The new distribution can be seen as an alternative to the slashed-Rayleigh distribution. It arises as quotient of two independent random variables, one being a Rayleigh distribution in the numerator the other a square root of the beta distribution in the denominator. Several structural properties (such as the density function, hazard rate function and moments) are derived. Parameters estimation is performed based on the moment and maximum likelihood methods. Finally, two applications are presented in which the utility of the new model in the analysis of real data is illustrated. (C) 2019 Elsevier B.V. All rights reserved.
dc.identifier.urihttp://repositoriodigital.uct.cl/handle/10925/3525
dc.language.isoen
dc.publisherELSEVIER
dc.sourceJOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
oaire.resourceTypeArticle
uct.catalogadorWOS
uct.indizacionSCI
Files
Collections
MigraciĆ³n Web of Science