Goodness of fit tests for logistic distribution based on Phi-divergence

Abstract

Some goodness of fit tests for logistic distribution based on Phi-divergence are developed. The powers of the introduced tests are compared with some traditional goodness of fit tests including Kolmogorov-Smirnov, Anderson- Darling and Cramer-von Mises tests for logistic distribution using Monte Carlo simulation. It is shown the proposed tests have good performance as compared with their competitors in the literature. A real data set is used for illustration. © 2018. University of Salento.