January 14th, 2007, 8:13 am
The Kolmogorov-Smirnov test (KS-test) compares two sample distributions without regard to their underlying, possibly unknown, population distributions. The KullbackLeibler test compares a sample distribution with a known population distribution and is not useful for all distributions. The same is true of the Anderson-Darling test.Links:KSADKLMike