A New Mixture of Exponential-Gamma Distribution

Year 2020, , 548 - 564, 01.06.2020

Nosakhare Ekhosuehı Lawrence Nzeı , Festus Opone

https://doi.org/10.35378/gujs.475102

Cited By: 4

Abstract

A new distribution called New Mixture of Exponential-Gamma Distribution is presented in this paper. This new distribution contains exponential and standardized Lindley distributions as sub models. Some of the structural properties of the proposed distribution which include the survival function, hazard rate function, moments, moment generating function, quantile function, distribution of order statistics and Renyi entropy are obtained. The maximum likelihood method of estimation was used to estimate the parameters of the distribution. A Simulation study was carried out to examine the performance and accuracy of the maximum likelihood estimates of the proposed distribution. An application of the proposed distribution to two real lifetime datasets is presented to illustrate its usefulness and superiority over some existing related models.

Keywords

Gamma Mixture, Structural properties, Standardized Lindley, Maximum Likelihood Estimation

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