How powerful are data driven score tests for uniformity

Tom 36 / 2009

Tadeusz Inglot, Alicja Janic Applicationes Mathematicae 36 (2009), 375-395 MSC: 62G10, 62B10, 62C10. DOI: 10.4064/am36-4-1

Streszczenie

We construct a new class of data driven tests for uniformity, which have greater average power than existing ones for finite samples. Using a simulation study, we show that these tests as well as some “optimal maximum test” attain an average power close to the optimal Bayes test. Finally, we prove that, in the middle range of the power function, the loss in average power of the “optimal maximum test” with respect to the Neyman–Pearson tests, constructed separately for each alternative, in the Gaussian shift problem can be measured by the Shannon entropy of a prior distribution. This explains similar behaviour of the average power of our data driven tests.

Autorzy

  • Tadeusz InglotTadeusz Inglot
    Institute of Mathematics
    Polish Academy of Sciences
    and
    Institute of Mathematics and Informatics
    Wrocław University of Technology
    Wybrzeże Wyspiańskiego 27
    50-370 Wrocław, Poland
    e-mail
  • Alicja JanicAlicja Janic
    Institute of Mathematics and Informatics
    Wrocław University of Technology
    Wybrzeże Wyspiańskiego 27
    50-370 Wrocław, Poland
    e-mail

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