The Exponentiated Power Generalized Weibull: Properties and Applications
Autor(a) principal: | |
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Data de Publicação: | 2018 |
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=S0001-37652018000602553 |
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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Anais da Academia Brasileira de Ciências (Online) |
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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 |
format |
article |
status_str |
publishedVersion |
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) 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 |
_version_ |
1754302866011455488 |