The Odd Log-Logistic Poisson-G Family of Distributions

We propose a new class of continuous distributions with two extra shape parameters named the odd log-logistic poisson-g family. some of its mathematical properties including moments, quantile, generating functions and order statistics are obtained. we estimate the model parameters by the maximum likelihood method and present a monte carlo simulation study. the importance of the proposed family is demonstrated by means of three real data applications. empirical results indicate that proposed family provides better fits than other well-known classes of distributions in real applications.