The exponentiated generalized gumbel distribution

Detalhes bibliográficos
Autor(a) principal: Andrade, Thiago
Data de Publicação: 2015
Outros Autores: Rodrigues, Heloisa, Bourguignon, Marcelo, Cordeiro, Gauss
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/handle/123456789/49656
Resumo: A class of univariate distributions called the exponentiated generalized class was recently proposed in the literature. A four-parameter model within this class named the exponentiated generalized Gumbel distribution is defined. We discuss the shapes of its density function and obtain explicit expressions for the ordinary moments, generating and quantile functions, mean deviations, Bonferroni and Lorenz curves and Rényi entropy. The density function of the order statistic is derived. The method of maximum likelihood is used to estimate model parameters. We determine the observed information matrix. We provide a Monte Carlo simulation study to evaluate the maximum likelihood estimates of model parameters and two applications to real data to illustrate the importance of the new model.
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spelling Andrade, ThiagoRodrigues, HeloisaBourguignon, MarceloCordeiro, Gauss2022-10-31T20:33:20Z2022-10-31T20:33:20Z2015-01ANDRADE, T. et al. The Exponentiated Generalized Gumbel Distribution. Revista Colombiana de Estadistica, v. 38, p. 123-143, 2015. Disponível em: http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-17512015000100007&lng=es&nrm=iso&tlng=en. Acesso em: 07 dez. 2017https://repositorio.ufrn.br/handle/123456789/4965610.15446Revista Colombiana de EstadisticaGumbel distributionMaximum likelihoodMomentRényi entropyThe exponentiated generalized gumbel distributioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleA class of univariate distributions called the exponentiated generalized class was recently proposed in the literature. A four-parameter model within this class named the exponentiated generalized Gumbel distribution is defined. We discuss the shapes of its density function and obtain explicit expressions for the ordinary moments, generating and quantile functions, mean deviations, Bonferroni and Lorenz curves and Rényi entropy. The density function of the order statistic is derived. The method of maximum likelihood is used to estimate model parameters. We determine the observed information matrix. We provide a Monte Carlo simulation study to evaluate the maximum likelihood estimates of model parameters and two applications to real data to illustrate the importance of the new model.info:eu-repo/semantics/openAccessengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALTheExponentiatedGeneralized_2015.pdfTheExponentiatedGeneralized_2015.pdfapplication/pdf1063380https://repositorio.ufrn.br/bitstream/123456789/49656/1/TheExponentiatedGeneralized_2015.pdf48a901a45c0a69ec648e9346d0a48a56MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.ufrn.br/bitstream/123456789/49656/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52123456789/496562022-10-31 17:34:43.613oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2022-10-31T20:34:43Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv The exponentiated generalized gumbel distribution
title The exponentiated generalized gumbel distribution
spellingShingle The exponentiated generalized gumbel distribution
Andrade, Thiago
Gumbel distribution
Maximum likelihood
Moment
Rényi entropy
title_short The exponentiated generalized gumbel distribution
title_full The exponentiated generalized gumbel distribution
title_fullStr The exponentiated generalized gumbel distribution
title_full_unstemmed The exponentiated generalized gumbel distribution
title_sort The exponentiated generalized gumbel distribution
author Andrade, Thiago
author_facet Andrade, Thiago
Rodrigues, Heloisa
Bourguignon, Marcelo
Cordeiro, Gauss
author_role author
author2 Rodrigues, Heloisa
Bourguignon, Marcelo
Cordeiro, Gauss
author2_role author
author
author
dc.contributor.author.fl_str_mv Andrade, Thiago
Rodrigues, Heloisa
Bourguignon, Marcelo
Cordeiro, Gauss
dc.subject.por.fl_str_mv Gumbel distribution
Maximum likelihood
Moment
Rényi entropy
topic Gumbel distribution
Maximum likelihood
Moment
Rényi entropy
description A class of univariate distributions called the exponentiated generalized class was recently proposed in the literature. A four-parameter model within this class named the exponentiated generalized Gumbel distribution is defined. We discuss the shapes of its density function and obtain explicit expressions for the ordinary moments, generating and quantile functions, mean deviations, Bonferroni and Lorenz curves and Rényi entropy. The density function of the order statistic is derived. The method of maximum likelihood is used to estimate model parameters. We determine the observed information matrix. We provide a Monte Carlo simulation study to evaluate the maximum likelihood estimates of model parameters and two applications to real data to illustrate the importance of the new model.
publishDate 2015
dc.date.issued.fl_str_mv 2015-01
dc.date.accessioned.fl_str_mv 2022-10-31T20:33:20Z
dc.date.available.fl_str_mv 2022-10-31T20:33:20Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv ANDRADE, T. et al. The Exponentiated Generalized Gumbel Distribution. Revista Colombiana de Estadistica, v. 38, p. 123-143, 2015. Disponível em: http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-17512015000100007&lng=es&nrm=iso&tlng=en. Acesso em: 07 dez. 2017
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/handle/123456789/49656
dc.identifier.doi.none.fl_str_mv 10.15446
identifier_str_mv ANDRADE, T. et al. The Exponentiated Generalized Gumbel Distribution. Revista Colombiana de Estadistica, v. 38, p. 123-143, 2015. Disponível em: http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-17512015000100007&lng=es&nrm=iso&tlng=en. Acesso em: 07 dez. 2017
10.15446
url https://repositorio.ufrn.br/handle/123456789/49656
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Revista Colombiana de Estadistica
publisher.none.fl_str_mv Revista Colombiana de Estadistica
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRN
instname:Universidade Federal do Rio Grande do Norte (UFRN)
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reponame_str Repositório Institucional da UFRN
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