dc.creatorNascimento, Fernando
dc.creatorBourguignon, Marcelo
dc.creatorLeão, Jeremias
dc.date2022-10-31T21:14:05Z
dc.date2022-10-31T21:14:05Z
dc.date2015
dc.date.accessioned2023-09-04T14:01:52Z
dc.date.available2023-09-04T14:01:52Z
dc.identifierNASCIMENTO, F. F.; BOURGUIGNON, Marcelo; LEÃO, Jeremias. Extended generalized extreme value distribution with applications in environmental data. Hacettepe Journal of Mathematics and Statistics , v. 46, p. 1-1, 2015. Disponível em: http://www.hjms.hacettepe.edu.tr/uploads/dd48204c-d9d6-4745-ad32-38e546c0c384.pdf. Acesso em: 07 dez. 2017
dc.identifier1549-3644
dc.identifierhttps://repositorio.ufrn.br/handle/123456789/49657
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8603699
dc.descriptionIn probability theory and statistics, the generalized extreme value (GEV) distribution is a family of continuous probability distributions developed within extreme value theory, which has wide applicability in several areas including hydrology, engineering, science, ecology and finance. In this paper, we propose three extensions of the GEV distribution that incorporate an additional parameter. These extensions are more flexible than the GEV distribution, i.e., the additional parameter introduces skewness and to vary tail weight. In these three cases, the GEV distribution is a particular case. The parameter estimation of these new distributions is done under the Bayesian paradigm, considering vague priors for the parameters. Simulation studies show the efficiency of the proposed models. Applications to river quotas and rainfall show that the generalizations can produce more efficient results than is the standard case with GEV distribution.
dc.formatapplication/pdf
dc.languageen
dc.publisherJournal of Mathematics and Statistics
dc.rightsAcesso Aberto
dc.subjectExtreme value theory
dc.subjectGeneralized extreme value distribution
dc.subjectGeneralized classes of distributions
dc.subjectEnvironmental
dc.subjectEconomic data
dc.titleExtended generalized extreme value distribution with applications in environmental data
dc.typearticle


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