A new weighted exponential distribution as an alternative to the Weibull distribution and its fit to reliability data
by Hassan S. Bakouch; Christophe Chesneau; Mai G. Enany
International Journal of Data Science (IJDS), Vol. 6, No. 3, 2021

Abstract: In this paper, we introduce and study an unexplored two-parameter weighted exponential distribution, having deep connections with the so-called exponentiated exponential and exponential-logarithmic distributions. Among its advantages, the corresponding probability density and hazard rate functions display quite attractive shapes for various modelling aims. Our theoretical contributions on the new distribution include some results on first-order stochastic dominance, the expression of the quantile function, expansion series for the moments, with discussions on the incomplete moment and moment generating function. Entropy and extropy are also investigated. Inferential work is performed on the related model; the estimation of parameters is justified by the method of maximum likelihood. The potential and elasticity of the model is illustrated by fitting it to two reliability datasets.

Online publication date: Thu, 24-Feb-2022

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