Accession Number : ADA118501
Title : A Two-Stage Elimination Type Procedure for Selecting the Largest of Several Normal Means with a Common Unknown Variance.
Descriptive Note : Technical rept.,
Corporate Author : PURDUE UNIV LAFAYETTE IN DEPT OF STATISTICS
Personal Author(s) : Gupta,Shanti S ; Kim,Woo-Chul
PDF Url : ADA118501
Report Date : Aug 1982
Pagination or Media Count : 34
Abstract : The problem of selecting the normal population with the largest mean from several populations with common unknown variance is considered. A new simple two-stage elimination type procedure is proposed which guarantees the same probability requirement using the indifference-zone approach as does the two-stage non-elimination type procedure of Bechhofer, Dunnett and Sobel (1954). The observations in the first stage are used not only to estimate the common unknown variance but also to screen out non-contending populations.
Descriptors : *Population(Mathematics), Analysis of variance, Probability, Monte Carlo method, Guarantees
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE