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Research Article Open access CC BY 4.0

Burr X Exponential – G Family of Distributions: Properties and Application

A. A. Sanusi, S. I. S. Doguwa, I. Audu, Y. M. Baraya

Asian Journal of Probability and Statistics · pp. 58–75 · Published 20 Jun 2020

10.9734/ajpas/2020/v7i330186

Abstract

In this paper, we developed a new class of continuous distributions called Burr X Exponential-G Family. Also, we obtained sub-models of this family of distributions such as Burr X Exponential-Rayleigh (BXE-R) and Burr X Exponential Lomax (BXE-Lx) distributions; by showing their respective densities functions. Some structural properties of the proposed family of distributions were derived such as moment, moment generating function, probability weighted moment, renyi entropy and order statistics. We estimate the parameters of the model by using Maximum Likelihood methods. Finally, the results obtained are validated using two real data sets. The results show that BXE-Lx distribution provides better fit in the data sets than some other well known distributions. However, this new family of distributions will serve as an additional generator for developing new sub models to modeling positive real data sets.

Burr X E – G family of distributions Burr X exponential – Rayleigh distribution Burr X exponential – Lomax distribution moment generating function Renyi entropy order statistics probability weighted moment maximum likelihood estimation.

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