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The Marshall-Olkin Transmuted-G Family of Distributions

  • Ahmed Z. Afify
  • , Haitham M. Yousof
  • , Morad Alizadeh
  • , Indranil Ghosh
  • , Samik Ray
  • , Gamze Ozel

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

We introduce a new family of univariate continuous distributions called the Marshall-Olkin transmuted-G family which extends the transmuted-G family pioneered by Shaw and Buckley (2007). Special models for the new family are provided. Some of its mathematical properties including quantile measure, explicit expressions for the ordinary and incomplete moments, generating function, Rényi and Shannon entropies, order statistics and probability weighted moments are derived. The estimation of the model parameters is performed by maximum likelihood. The flexibility of the proposed family is illustrated by means of two applications to real data sets.

Original languageEnglish
Pages (from-to)79-96
Number of pages18
JournalStochastics and Quality Control
Volume35
Issue number2
DOIs
Publication statusPublished - 1 Dec 2020

Keywords

  • Entropy
  • Generating Function
  • Maximum Likelihood
  • Order Statistic
  • Transmuted-G Family

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