On Exponential Negative-Binomial-X Family of Distributions
Zawar Hussain (),
Muhammad Aslam () and
Zahid Asghar ()
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Zawar Hussain: Quaid-i-Azam University
Muhammad Aslam: Quaid-i-Azam University
Annals of Data Science, 2019, vol. 6, issue 4, No 3, 672 pages
Abstract This paper introduces a new family of distributions using exponential negative binomial distribution. The proposed family of distributions generalizes the Marshall–Olkin, Complementary exponential G-geometric, Complementary Beta G-geometric and Complementary Kumaraswamy G-geometric families of distribution. Explicit expressions of statistical and reliability properties of the proposed family of distributions are derived. Some special cases of this family of distributions are presented in detail. Suitability of the suggested family of distributions is established by using real life data sets from different areas of application. The empirical results indicate that the proposed family performs better than already existing families of distributions.
Keywords: Exponential negative binomial; Generalized family; Weibull distribution (search for similar items in EconPapers)
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