The Type II Quasi Lambert Family

Probability distributions and their families play an effective role in statistical modeling analysis. Recently, researchers have been increasingly interested generating new with high flexibility low number of milestones. We propose study a family continuous distributions. Relevant properties are presented. Many bivariate versions the derived under Farlie-Gumbel-Morgenstern copula, modified Clayton entropy copula Ali-Mikhail-Haq copula. present two characterizations family. Different estimation methods such as maximum likelihood estimation, product spacing least squares weighted Anderson-Darling Cramer-von Mises considered. Simulation studies for comparing performed based on baseline Lindley model. Two real data sets analyzed competitive models.