A FORTRAN Computer Program to Perform Goodness of Fit Testing on Empirical Data.

摘要

This document describes a FORTRAN computer program which performs statistical goodness of fit tests on empirical data. Four goodness of fit methods are available: chi-square, Kolmogorov-Smirnov, Cramer-Von Mises, and the moments test for normality. Data may be tested against any one of ten theoretical probability distributions: Poisson, exponential, normal, log-normal, gamma, Erlang-k, chi-square, triangular, uniform, or Weibull.