The Marshall-Olkin Topp-Leone Half-Logistic-G Family of Distributions with Applications

Abstract

A new family of distributions called the Marshall-Olkin Topp-Leone Half-Logistic-G (MO-TLHL-G) family of distributions is proposed and studied. Structural properties of the new family of distributions including moments, incomplete moments, distribution of the order statistics, and Renyi entropy are derived. The maximum likelihood estimation technique is used to estimate the model parameters. A simulation study to examine the bias and mean square error of the maximum likelihood estimators and applications to real data sets to illustrates the usefulness of the generalized distribution are given.