The Exponentiated Power Generalized Weibull: Properties and Applications

Detalhes bibliográficos
Autor(a) principal: PEÑA-RAMÍREZ,FERNANDO A.
Data de Publicação: 2018
Outros Autores: GUERRA,RENATA R., CORDEIRO,GAUSS M., MARINHO,PEDRO R.D.
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=S0001-37652018000602553
Resumo: Abstract We propose a new lifetime model called the exponentiated power generalized Weibull (EPGW) distribution, which is obtained from the exponentiated family applied to the power generalized Weibull (PGW) distribution. It can also be derived from a power transform on an exponentiated Nadarajah-Haghighi random variable. Since several structural properties of the PGW distribution have not been studied, they can be obtained from those of the EPGW distribution. The model is very flexible for modeling all common types of hazard rate functions. It is a very competitive model to the well-known Weibull, exponentiated exponential and exponentiated Weibull distributions, among others. We also give a physical motivation for the new distribution if the power parameter is an integer. Some of its mathematical properties are investigated. We discuss estimation of the model parameters by maximum likelihood and provide two applications to real data. A simulation study is performed in order to examine the accuracy of the maximum likelihood estimators of the model parameters.
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spelling The Exponentiated Power Generalized Weibull: Properties and ApplicationsExponential distributionlifetime dataNadarajah-Haghighi distributionpower generalized Weibull distributionsurvival functionAbstract We propose a new lifetime model called the exponentiated power generalized Weibull (EPGW) distribution, which is obtained from the exponentiated family applied to the power generalized Weibull (PGW) distribution. It can also be derived from a power transform on an exponentiated Nadarajah-Haghighi random variable. Since several structural properties of the PGW distribution have not been studied, they can be obtained from those of the EPGW distribution. The model is very flexible for modeling all common types of hazard rate functions. It is a very competitive model to the well-known Weibull, exponentiated exponential and exponentiated Weibull distributions, among others. We also give a physical motivation for the new distribution if the power parameter is an integer. Some of its mathematical properties are investigated. We discuss estimation of the model parameters by maximum likelihood and provide two applications to real data. A simulation study is performed in order to examine the accuracy of the maximum likelihood estimators of the model parameters.Academia Brasileira de Ciências2018-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000602553Anais da Academia Brasileira de Ciências v.90 n.3 2018reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765201820170423info:eu-repo/semantics/openAccessPEÑA-RAMÍREZ,FERNANDO A.GUERRA,RENATA R.CORDEIRO,GAUSS M.MARINHO,PEDRO R.D.eng2019-11-29T00:00:00Zoai:scielo:S0001-37652018000602553Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2019-11-29T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv The Exponentiated Power Generalized Weibull: Properties and Applications
title The Exponentiated Power Generalized Weibull: Properties and Applications
spellingShingle The Exponentiated Power Generalized Weibull: Properties and Applications
PEÑA-RAMÍREZ,FERNANDO A.
Exponential distribution
lifetime data
Nadarajah-Haghighi distribution
power generalized Weibull distribution
survival function
title_short The Exponentiated Power Generalized Weibull: Properties and Applications
title_full The Exponentiated Power Generalized Weibull: Properties and Applications
title_fullStr The Exponentiated Power Generalized Weibull: Properties and Applications
title_full_unstemmed The Exponentiated Power Generalized Weibull: Properties and Applications
title_sort The Exponentiated Power Generalized Weibull: Properties and Applications
author PEÑA-RAMÍREZ,FERNANDO A.
author_facet PEÑA-RAMÍREZ,FERNANDO A.
GUERRA,RENATA R.
CORDEIRO,GAUSS M.
MARINHO,PEDRO R.D.
author_role author
author2 GUERRA,RENATA R.
CORDEIRO,GAUSS M.
MARINHO,PEDRO R.D.
author2_role author
author
author
dc.contributor.author.fl_str_mv PEÑA-RAMÍREZ,FERNANDO A.
GUERRA,RENATA R.
CORDEIRO,GAUSS M.
MARINHO,PEDRO R.D.
dc.subject.por.fl_str_mv Exponential distribution
lifetime data
Nadarajah-Haghighi distribution
power generalized Weibull distribution
survival function
topic Exponential distribution
lifetime data
Nadarajah-Haghighi distribution
power generalized Weibull distribution
survival function
description Abstract We propose a new lifetime model called the exponentiated power generalized Weibull (EPGW) distribution, which is obtained from the exponentiated family applied to the power generalized Weibull (PGW) distribution. It can also be derived from a power transform on an exponentiated Nadarajah-Haghighi random variable. Since several structural properties of the PGW distribution have not been studied, they can be obtained from those of the EPGW distribution. The model is very flexible for modeling all common types of hazard rate functions. It is a very competitive model to the well-known Weibull, exponentiated exponential and exponentiated Weibull distributions, among others. We also give a physical motivation for the new distribution if the power parameter is an integer. Some of its mathematical properties are investigated. We discuss estimation of the model parameters by maximum likelihood and provide two applications to real data. A simulation study is performed in order to examine the accuracy of the maximum likelihood estimators of the model parameters.
publishDate 2018
dc.date.none.fl_str_mv 2018-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000602553
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000602553
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765201820170423
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.90 n.3 2018
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
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instname_str Academia Brasileira de Ciências (ABC)
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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)
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