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Testing multiple slippages
Author(s) -
Singh Ashok K.
Publication year - 1978
Publication title -
canadian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.804
H-Index - 51
eISSN - 1708-945X
pISSN - 0319-5724
DOI - 10.2307/3315048
Subject(s) - mathematics , nonparametric statistics , homogeneity (statistics) , bayes' theorem , multiple comparisons problem , invariant (physics) , integer (computer science) , combinatorics , slippage , discrete mathematics , statistical hypothesis testing , statistics , computer science , bayesian probability , structural engineering , engineering , mathematical physics , programming language
A class of invariant Bayes rules is derived for testing homogeneity of k (≥2) different populations against ( k t ) 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.