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Testing multiple slippages |
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| Authors: | Ashok K Singh |
| Abstract: | A class of invariant Bayes rules is derived for testing homogeneity of k (≥2) different populations against (kt) slippage alternatives that some (unknown) subset of size t of the given populations has parameter larger than the remaining k-t, where t is a given integer between 1 and k-1. For a similar problem in nonparametric situations, locally best tests based on ranks are derived. |
| Keywords: | Bayes rules invariance locally best test rank test nonparametric slippage test minimal essentially complete class AMS 1970 subject classifications: Primary 62C10 secondary 62G10 |