Maximal asymptotic power and efficiency of two-sample tests based on generalized U-Statistics
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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 language | English |
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Pages (from-to) | 33-57 |
Number of pages | 25 |
Journal | Metrika |
Volume | 60 |
Issue number | 1 |
Publication status | Published - 2004 |
Peer-reviewed | Yes |
Keywords
ASJC Scopus subject areas
Keywords
- Maximal local power, Optimal asymptotic relative efficiency, Statistical functionals, Two-sample U-Statistics