ON SELECTION PROCEDURES BASED ON RANKS: COUNTER-EXAMPLES CONCERNING LEAST FAVORABLE CONFIGURATIONS.
STANFORD UNIV CALIF DEPT OF STATISTICS
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The paper is concerned with certain multiple-decision procedures based on ranks which have been proposed for analyzing data in a one-way layout X sub ij theta sub i epsilon sub ij, i 1,...,k, j 1,...,n where the errors epsilon sub ij are independent, have the same known cumulative distribution function cdf F and where theta theta sub 1,...,theta sub k is unknown. Two problems are considered 1 Select the indices of the t largest theta-values. 2 Select a subset containing the index of the largest theta-value. Author
- Statistics and Probability