The gamma-weibull-g family of distributions with applications

  • Broderick O. Oluyede
  • , Shusen Pu
  • , Boikanyo Makubate
  • , Yuqi Qiu

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

Weibull distribution and its extended families has been widely studied in lifetime applications. Based on the Weibull-G family of distributions and the exponentiated Weibull distribution, we study in detail this new class of distributions, namely, Gamma-Weibull-G (GWG) family of distributions. Some special models in the new class are discussed. Statistical properties of the family of distributions, such as expansion of density function, hazard and reverse hazard functions, quantile function, moments, incomplete moments, generating functions, mean deviations, Bonferroni and Lorenz curves and order statistics are presented. We also present Rényi entropy, estimation of parameters by using method of maximum likelihood, asymptotic confidence intervals and applications using real data sets.

Original languageEnglish
Pages (from-to)45-76
Number of pages32
JournalAustrian Journal of Statistics
Volume47
Issue number1
DOIs
StatePublished - 2018
Externally publishedYes

Keywords

  • Gamma distribution
  • Maximum likelihood estimation
  • Weibull-G distribution

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