The Marshall-Olkin Half Logistic-G Family of Distributions With Applications

Attempts have been made to define new classes of distributions that provide more flexibility for modeling data is skewed in nature. In this work, we propose a family namely the Marshall-Olkin Half Logistic-G (MO-HL-G) based on generator pioneered by [Marshall and Olkin , 1997]. This allows flexible fit real from several fields, such as engineering, hydrology, survival analysis. The structural properties these are studied its model parameters obtained through maximum likelihood method. We finally demonstrate effectiveness models via simulation experiments.