A New Lifetime Model: The Gamma Extended Fréchet Distribution

For the first time, a four-parameter lifetime model, called the gamma extended Fr´echet distribution, is defined and studied. We obtain some of its mathematical properties. Explicit expressions for the ordinary and incomplete moments, quantile function, mean deviations, R´enyi entropy and reliabilit...

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Main Authors: Ronaldo V. da Silva, Thiago A.N. de Andrade, Diego B.M. Maciel, Renilma P. S. Campos, Gauss M. Cordeiro
Format: Article
Language:English
Published: Springer 2013-05-01
Series:Journal of Statistical Theory and Applications (JSTA)
Subjects:
Online Access:https://www.atlantis-press.com/article/6642.pdf
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author Ronaldo V. da Silva
Thiago A.N. de Andrade
Diego B.M. Maciel
Renilma P. S. Campos
Gauss M. Cordeiro
author_facet Ronaldo V. da Silva
Thiago A.N. de Andrade
Diego B.M. Maciel
Renilma P. S. Campos
Gauss M. Cordeiro
author_sort Ronaldo V. da Silva
collection DOAJ
description For the first time, a four-parameter lifetime model, called the gamma extended Fr´echet distribution, is defined and studied. We obtain some of its mathematical properties. Explicit expressions for the ordinary and incomplete moments, quantile function, mean deviations, R´enyi entropy and reliability are provided. The order statistics and their moments are derived. The method of maximum likelihood is used for estimating the model parameters.We determine the observed information matrix. An application to a real data set shows that the new distribution can provide a better fit than other classical lifetime models. We hope that this generalization may attract wider applications in reliability, biology and survival analysis.
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spelling doaj.art-2b07de8a16bf495da05be949395eef1a2022-12-22T01:56:42ZengSpringerJournal of Statistical Theory and Applications (JSTA)1538-78872013-05-0112110.2991/jsta.2013.12.1.4A New Lifetime Model: The Gamma Extended Fréchet DistributionRonaldo V. da SilvaThiago A.N. de AndradeDiego B.M. MacielRenilma P. S. CamposGauss M. CordeiroFor the first time, a four-parameter lifetime model, called the gamma extended Fr´echet distribution, is defined and studied. We obtain some of its mathematical properties. Explicit expressions for the ordinary and incomplete moments, quantile function, mean deviations, R´enyi entropy and reliability are provided. The order statistics and their moments are derived. The method of maximum likelihood is used for estimating the model parameters.We determine the observed information matrix. An application to a real data set shows that the new distribution can provide a better fit than other classical lifetime models. We hope that this generalization may attract wider applications in reliability, biology and survival analysis.https://www.atlantis-press.com/article/6642.pdfFréchet distribution; gamma extended Fr´echet distribution; maximum likelihood; observed information matrix; Weibull distribution.Keywords: Extreme values theory; Asymptotic distribution; Functional Gaussian and nongaussian laws; Uniform entropy numbers; Asymptotic tightnessStochastic process of
spellingShingle Ronaldo V. da Silva
Thiago A.N. de Andrade
Diego B.M. Maciel
Renilma P. S. Campos
Gauss M. Cordeiro
A New Lifetime Model: The Gamma Extended Fréchet Distribution
Journal of Statistical Theory and Applications (JSTA)
Fréchet distribution; gamma extended Fr´echet distribution; maximum likelihood; observed information matrix; Weibull distribution.Keywords: Extreme values theory; Asymptotic distribution; Functional Gaussian and nongaussian laws; Uniform entropy numbers; Asymptotic tightness
Stochastic process of
title A New Lifetime Model: The Gamma Extended Fréchet Distribution
title_full A New Lifetime Model: The Gamma Extended Fréchet Distribution
title_fullStr A New Lifetime Model: The Gamma Extended Fréchet Distribution
title_full_unstemmed A New Lifetime Model: The Gamma Extended Fréchet Distribution
title_short A New Lifetime Model: The Gamma Extended Fréchet Distribution
title_sort new lifetime model the gamma extended frechet distribution
topic Fréchet distribution; gamma extended Fr´echet distribution; maximum likelihood; observed information matrix; Weibull distribution.Keywords: Extreme values theory; Asymptotic distribution; Functional Gaussian and nongaussian laws; Uniform entropy numbers; Asymptotic tightness
Stochastic process of
url https://www.atlantis-press.com/article/6642.pdf
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