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