The Exponentiated Power Generalized Weibull: Properties and Applications

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-Ha...

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Main Authors: FERNANDO A. PEÑA-RAMÍREZ, RENATA R. GUERRA, GAUSS M. CORDEIRO, PEDRO R.D. MARINHO
Format: Article
Language:English
Published: Academia Brasileira de Ciências
Series:Anais da Academia Brasileira de Ciências
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000602553&lng=en&tlng=en
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spelling doaj-269edf4dcfd1493d805ce561ca4d4a0f2020-11-24T21:07:57ZengAcademia Brasileira de CiênciasAnais da Academia Brasileira de Ciências1678-26909032553257710.1590/0001-3765201820170423S0001-37652018000602553The Exponentiated Power Generalized Weibull: Properties and ApplicationsFERNANDO A. PEÑA-RAMÍREZRENATA R. GUERRAGAUSS M. CORDEIROPEDRO R.D. MARINHOAbstract 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000602553&lng=en&tlng=enExponential distributionlifetime dataNadarajah-Haghighi distributionpower generalized Weibull distributionsurvival function
collection DOAJ
language English
format Article
sources DOAJ
author FERNANDO A. PEÑA-RAMÍREZ
RENATA R. GUERRA
GAUSS M. CORDEIRO
PEDRO R.D. MARINHO
spellingShingle FERNANDO A. PEÑA-RAMÍREZ
RENATA R. GUERRA
GAUSS M. CORDEIRO
PEDRO R.D. MARINHO
The Exponentiated Power Generalized Weibull: Properties and Applications
Anais da Academia Brasileira de Ciências
Exponential distribution
lifetime data
Nadarajah-Haghighi distribution
power generalized Weibull distribution
survival function
author_facet FERNANDO A. PEÑA-RAMÍREZ
RENATA R. GUERRA
GAUSS M. CORDEIRO
PEDRO R.D. MARINHO
author_sort FERNANDO A. PEÑA-RAMÍREZ
title The Exponentiated Power Generalized Weibull: Properties and Applications
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 exponentiated power generalized weibull: properties and applications
publisher Academia Brasileira de Ciências
series Anais da Academia Brasileira de Ciências
issn 1678-2690
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.
topic Exponential distribution
lifetime data
Nadarajah-Haghighi distribution
power generalized Weibull distribution
survival function
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000602553&lng=en&tlng=en
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