Power considerations for Kolmogorov–Smirnov and Anderson–Darling two-sample tests

Daniel Baumgartner, John Kolassa

Research output: Contribution to journalArticlepeer-review

Abstract

The two-sample Kolmogorov–Smirnov and Anderson–Darling tests assess the hypothesis that two given samples come from the same population. In this paper, the power of each test was measured using a variety of alternative distributions and varying the sample size. Recommendations for the more powerful test for each common distribution are given, depending on whether the distribution has heavy or light tails.

Original languageEnglish (US)
JournalCommunications in Statistics: Simulation and Computation
DOIs
StateAccepted/In press - 2021

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Modeling and Simulation

Keywords

  • Anderson–Darling test
  • Kolmogorov–Smirnov test
  • Nonparametric

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