An upadate on the goodness of fit statistical toolkit

The present project in progress develops an object-oriented software toolkit for statistical data analysis. The Goodness-of-Fit (GoF) Statistical Comparison component of the toolkit provides algorithms for the comparison of data distributions in a variety of use cases typical of physics experiments. The system contains a variety of two-sample GoF tests, from chi-squared to tests based on the maximum distance between the two empirical distribution functions (Kolmogorov-Smirnov, Kuiper, Goodman), to tests based on the weighted quadratic distance between the two empirical distribution functions (Cramer-von Mises, Anderson-Darling). Thanks to its flexible design the GoF Statistical Toolkit has been recently extended, implementing other less known GoF tests (weighted formulations of Kolmogorov-Smirnov and Cramer-von Mises tests, Watson and Tiku tests)