The gamma extended Weibull family of distributions

We introduce a new family of distributions called the gamma extended Weibull family. The proposed family includes several well-known models as special cases and defines at least seventeen new special models. Structural properties of this family are studied. Additionally, the maximum likelihood metho...

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Main Authors: Abraao D.C. Nascimento, Marcelo Bourguignon, Luz M. Zea, Manoel Santos-Neto, Rodrigo B. Silva, Gauss M. Cordeiro
Format: Article
Language:English
Published: Springer 2014-03-01
Series:Journal of Statistical Theory and Applications (JSTA)
Subjects:
Online Access:https://www.atlantis-press.com/article/11607.pdf
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author Abraao D.C. Nascimento
Marcelo Bourguignon
Luz M. Zea
Manoel Santos-Neto
Rodrigo B. Silva
Gauss M. Cordeiro
author_facet Abraao D.C. Nascimento
Marcelo Bourguignon
Luz M. Zea
Manoel Santos-Neto
Rodrigo B. Silva
Gauss M. Cordeiro
author_sort Abraao D.C. Nascimento
collection DOAJ
description We introduce a new family of distributions called the gamma extended Weibull family. The proposed family includes several well-known models as special cases and defines at least seventeen new special models. Structural properties of this family are studied. Additionally, the maximum likelihood method for estimating the model parameters is discussed. An application to real data illustrates the usefulness of the new family. The results provide evidence that the proposed family outperforms other classes of lifetime models.
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spelling doaj.art-b84e00dfc96245b4ab560353df7485472022-12-22T02:56:22ZengSpringerJournal of Statistical Theory and Applications (JSTA)1538-78872014-03-0113110.2991/jsta.2014.13.1.1The gamma extended Weibull family of distributionsAbraao D.C. NascimentoMarcelo BourguignonLuz M. ZeaManoel Santos-NetoRodrigo B. SilvaGauss M. CordeiroWe introduce a new family of distributions called the gamma extended Weibull family. The proposed family includes several well-known models as special cases and defines at least seventeen new special models. Structural properties of this family are studied. Additionally, the maximum likelihood method for estimating the model parameters is discussed. An application to real data illustrates the usefulness of the new family. The results provide evidence that the proposed family outperforms other classes of lifetime models.https://www.atlantis-press.com/article/11607.pdfExtended Weibull distributions; Hazard rate function; Maximum likelihood estimation; Moments; Stacy’s generalized gamma distribution
spellingShingle Abraao D.C. Nascimento
Marcelo Bourguignon
Luz M. Zea
Manoel Santos-Neto
Rodrigo B. Silva
Gauss M. Cordeiro
The gamma extended Weibull family of distributions
Journal of Statistical Theory and Applications (JSTA)
Extended Weibull distributions; Hazard rate function; Maximum likelihood estimation; Moments; Stacy’s generalized gamma distribution
title The gamma extended Weibull family of distributions
title_full The gamma extended Weibull family of distributions
title_fullStr The gamma extended Weibull family of distributions
title_full_unstemmed The gamma extended Weibull family of distributions
title_short The gamma extended Weibull family of distributions
title_sort gamma extended weibull family of distributions
topic Extended Weibull distributions; Hazard rate function; Maximum likelihood estimation; Moments; Stacy’s generalized gamma distribution
url https://www.atlantis-press.com/article/11607.pdf
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