Maximal asymptotic power and efficiency of two-sample tests based on generalized U-Statistics

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

Abstract

In this article a systematic study is given of the asymptotic behavior of two-sample tests based on U-Statistics with arbitrary antisymmetric kernels ψ. Besides the investigation under the hypothesis and under fixed alternatives we determine the local power as a function of ψ as well as its maximizing value ψopt. Moreover formulas for the asymptotic relative efficiency ARE(ψ2, ψ1) of the ψ2-test with respect to the ψ1-test are derived. It turns out that ψopt also yields the most efficient test in the sense that ARE(ψopt, ψ) ≤ 1 for all (admissible) kernels ψ.

Details

Original languageEnglish
Pages (from-to)33-57
Number of pages25
JournalMetrika
Volume60
Issue number1
Publication statusPublished - 2004
Peer-reviewedYes

Keywords

Keywords

  • Maximal local power, Optimal asymptotic relative efficiency, Statistical functionals, Two-sample U-Statistics

Library keywords