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- Title
Distance Testing for Selecting the Best Population.
- Authors
Futschik, Andreas; Pflug, Georg Ch.
- Abstract
Summary Consider testing the null hypothesis that a given population has location parameter greater than or equal to the largest location parameter of k competing populations. This paper generalizes tests proposed by Gupta and Bartholomew by considering tests based on p-distances from the parameter estimate to the null parameter space. It is shown that all tests are equivalent when k arrow right Infinity for a class of distributions that includes the normal and the uniform. The paper proposes the use of adaptive quantiles. Under suitable assumptions the resulting tests are asymptotically equivalent to the uniformly most powerful test for the case that the location parameters of all but one of the populations are known. The increase in power obtained by using adaptive tests is confirmed by a simulation study.
- Subjects
HYPOTHESIS; DISTANCES; DISTRIBUTION (Probability theory)
- Publication
Australian & New Zealand Journal of Statistics, 1998, Vol 40, Issue 4, p443
- ISSN
1369-1473
- Publication type
Article
- DOI
10.1111/1467-842x.00049