Literature DB >> 30304207

The Exponentiated Power Generalized Weibull: Properties and Applications.

Fernando A Peña-Ramírez1, Renata R Guerra1, Gauss M Cordeiro2, Pedro R D Marinho3.   

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.

Year:  2018        PMID: 30304207     DOI: 10.1590/0001-3765201820170423

Source DB:  PubMed          Journal:  An Acad Bras Cienc        ISSN: 0001-3765            Impact factor:   1.753


  1 in total

1.  Exponentiated power generalized Weibull power series family of distributions: Properties, estimation and applications.

Authors:  Maha A Aldahlan; Farrukh Jamal; Christophe Chesneau; Ibrahim Elbatal; Mohammed Elgarhy
Journal:  PLoS One       Date:  2020-03-20       Impact factor: 3.240

  1 in total

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