Comparison of empirical and theoretical distribution functions of a random variable on the basis of a nonparametric classifier

Abstract

A possibility of using nonparametric algorithms of pattern recognition in the problem of comparing empirical and theoretical distribution functions of random variables is considered. Results of computational experiments are analyzed.