TATTER: TwosAmple TesT EstimatoR
Abstract
TATTER (TwosAmple TesT EstimatoR) performs twosample hypothesis test. The twosample hypothesis test is concerned with whether distributions p(x) and q(x) are different on the basis of finite samples drawn from each of them. This ubiquitous problem appears in a legion of applications, ranging from data mining to data analysis and inference. This implementation can perform the KolmogorovSmirnov test (for onedimensional data only), KullbackLeibler divergence, and Maximum Mean Discrepancy (MMD) test. The module performs a bootstrap algorithm to estimate the null distribution and compute pvalue.
 Publication:

Astrophysics Source Code Library
 Pub Date:
 June 2020
 Bibcode:
 2020ascl.soft06007F
 Keywords:

 Software