Simulated Goodness-of-Fit Tests for Discrete Distributions
Simulated Chi-squared goodness-of-fit test
Simulated Cramer-von Mises goodness-of-fit test
Simulated Freeman-Tukey (Hellinger-distance) goodness-of-fit test
Simulated log-likelihood-ratio (G^2) goodness-of-fit test
Simulated Kolmogorov-Smirnov goodness-of-fit test
Simulated root-mean-square goodness-of-fit test
Implements fast Monte Carlo simulations for goodness-of-fit (GOF) tests for discrete distributions. This includes tests based on the Chi-squared statistic, the log-likelihood-ratio (G^2) statistic, the Freeman-Tukey (Hellinger-distance) statistic, the Kolmogorov-Smirnov statistic, the Cramer-von Mises statistic as described in Choulakian, Lockhart and Stephens (1994) <doi:10.2307/3315828>, and the root-mean-square statistic, see Perkins, Tygert, and Ward (2011) <doi:10.1016/j.amc.2011.03.124>.