
Accession Number : AD0766547
Title : A Restricted Subset Selection Approach to Ranking and Selection Problems.
Descriptive Note : Technical rept.,
Corporate Author : PURDUE UNIV LAFAYETTE IND DEPT OF STATISTICS
Personal Author(s) : Santner,Thomas J.
Report Date : JUN 1973
Pagination or Media Count : 32
Abstract : The goal in the paper is to study single sample procedures which give more flexibility to the experimenter than does either the fixed subset size rule or the subset selection procedure by allowing him to specify an upper bound, m, on the number of populations included in the selected subset. Should the data clearly indicate that a particular population is best, this type of rule retains the advantage of the subset selection procedure over the fixed size subset rule in allowing selection of fewer than m populations. On the other hand if the data make the choice of the best population less obvious, this rule selects a larger subset for further study but guarantees that no more than m populations are selected. Such procedures will be called restricted subset selection procedures.
Descriptors : (*STATISTICAL ANALYSIS, THEOREMS), SELECTION, SET THEORY, RANDOM VARIABLES, STOCHASTIC PROCESSES, SAMPLING, MEASURE THEORY
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE