dc.creatorIriarte
dc.creatorYuri A.; Vilca
dc.creatorF.; Varela
dc.creatorHector; Gomez
dc.creatorHector W.
dc.date2017
dc.date2017-11-13T13:56:51Z
dc.date2017-11-13T13:56:51Z
dc.date.accessioned2018-03-29T06:10:10Z
dc.date.available2018-03-29T06:10:10Z
dc.identifierCommunications In Statistics-theory And Methods. Taylor & Francis Inc, v. 46, p. 4686 - 4699, 2017.
dc.identifier0361-0926
dc.identifier1532-415X
dc.identifierWOS:000395085400002
dc.identifier10.1080/03610926.2015.1066811
dc.identifierhttp://www.tandfonline.com/doi/abs/10.1080/03610926.2015.1066811
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/329946
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1366971
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionWe introduce a new family of distributions suitable for fitting positive data sets with high kurtosis which is called the Slashed Generalized Rayleigh Distribution. This distribution arises as the quotient of two independent random variables, one being a generalized Rayleigh distribution in the numerator and the other a power of the uniform distribution in the denominator. We present properties and carry out estimation of the model parameters by moment and maximum likelihood (ML) methods. Finally, we conduct a small simulation study to evaluate the performance of ML estimators and analyze real data sets to illustrate the usefulness of the new model.
dc.description46
dc.description10
dc.description4686
dc.description4699
dc.descriptionSEMILLERO (Chile) [UA-2014]
dc.descriptionCNPq (Brazil)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.languageEnglish
dc.publisherTaylor & Francis Inc
dc.publisherPhiladelphia
dc.relationCommunications in Statistics-Theory and Methods
dc.rightsfechado
dc.sourceWOS
dc.subjectGeneralized Rayleigh Distribution
dc.subjectSlashed Rayleigh Distribution
dc.subjectMaximum Likelihood Estimation
dc.subjectKurtosis
dc.titleSlashed Generalized Rayleigh Distribution
dc.typeArtículos de revistas


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