Closed form expressions for moments of the beta Weibull distribution
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Anais da Academia Brasileira de Ciências (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652011000200002 |
Resumo: | The beta Weibull distribution was first introduced by Famoye et al. (2005) and studied by these authors and Lee et al. (2007). However, they do not give explicit expressions for the moments. In this article, we derive explicit closed form expressions for the moments of this distribution, which generalize results available in the literature for some sub-models. We also obtain expansions for the cumulative distribution function and Rényi entropy. Further, we discuss maximum likelihood estimation and provide formulae for the elements of the expected information matrix. We also demonstrate the usefulness of this distribution on a real data set. |
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Closed form expressions for moments of the beta Weibull distributionbeta Weibull distributionexpected information matrixmaximum likelihoodmomentWeibull distributionThe beta Weibull distribution was first introduced by Famoye et al. (2005) and studied by these authors and Lee et al. (2007). However, they do not give explicit expressions for the moments. In this article, we derive explicit closed form expressions for the moments of this distribution, which generalize results available in the literature for some sub-models. We also obtain expansions for the cumulative distribution function and Rényi entropy. Further, we discuss maximum likelihood estimation and provide formulae for the elements of the expected information matrix. We also demonstrate the usefulness of this distribution on a real data set.Academia Brasileira de Ciências2011-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652011000200002Anais da Academia Brasileira de Ciências v.83 n.2 2011reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/S0001-37652011000200002info:eu-repo/semantics/openAccessCordeiro,Gauss MSimas,Alexandre BStošic,Borko Deng2011-06-03T00:00:00Zoai:scielo:S0001-37652011000200002Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2011-06-03T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false |
dc.title.none.fl_str_mv |
Closed form expressions for moments of the beta Weibull distribution |
title |
Closed form expressions for moments of the beta Weibull distribution |
spellingShingle |
Closed form expressions for moments of the beta Weibull distribution Cordeiro,Gauss M beta Weibull distribution expected information matrix maximum likelihood moment Weibull distribution |
title_short |
Closed form expressions for moments of the beta Weibull distribution |
title_full |
Closed form expressions for moments of the beta Weibull distribution |
title_fullStr |
Closed form expressions for moments of the beta Weibull distribution |
title_full_unstemmed |
Closed form expressions for moments of the beta Weibull distribution |
title_sort |
Closed form expressions for moments of the beta Weibull distribution |
author |
Cordeiro,Gauss M |
author_facet |
Cordeiro,Gauss M Simas,Alexandre B Stošic,Borko D |
author_role |
author |
author2 |
Simas,Alexandre B Stošic,Borko D |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Cordeiro,Gauss M Simas,Alexandre B Stošic,Borko D |
dc.subject.por.fl_str_mv |
beta Weibull distribution expected information matrix maximum likelihood moment Weibull distribution |
topic |
beta Weibull distribution expected information matrix maximum likelihood moment Weibull distribution |
description |
The beta Weibull distribution was first introduced by Famoye et al. (2005) and studied by these authors and Lee et al. (2007). However, they do not give explicit expressions for the moments. In this article, we derive explicit closed form expressions for the moments of this distribution, which generalize results available in the literature for some sub-models. We also obtain expansions for the cumulative distribution function and Rényi entropy. Further, we discuss maximum likelihood estimation and provide formulae for the elements of the expected information matrix. We also demonstrate the usefulness of this distribution on a real data set. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652011000200002 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652011000200002 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0001-37652011000200002 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
dc.source.none.fl_str_mv |
Anais da Academia Brasileira de Ciências v.83 n.2 2011 reponame:Anais da Academia Brasileira de Ciências (Online) instname:Academia Brasileira de Ciências (ABC) instacron:ABC |
instname_str |
Academia Brasileira de Ciências (ABC) |
instacron_str |
ABC |
institution |
ABC |
reponame_str |
Anais da Academia Brasileira de Ciências (Online) |
collection |
Anais da Academia Brasileira de Ciências (Online) |
repository.name.fl_str_mv |
Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC) |
repository.mail.fl_str_mv |
||aabc@abc.org.br |
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1754302857975169024 |