A Two-Stage Minimax Procedure with Screening for Selecting the Largest Normal Mean (II). An Improved PCS Lower Bound and Associated Tables.

Abstract

This paper is a follow-up to an earlier article by the authors in which they proposed a two-stage procedure with screening to select the normal population with the largest population mean when the populations have a common known variance. The two-stage procedure has the highly desirable property that the expected total number of observations required by the procedure is always less than the total number of observations required by the corresponding single-stage procedure of Bechhofer (1954), regardless of the configuration of the population means. The present paper contains new results which make possible the more efficient implementation of the two-stage procedure. Tables for this purpose are given, and the improvements achieved (which are substantial) are assessed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1978
Accession Number
ADA061337

Entities

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  • Ajit C. Tamhane
  • Robert E. Bechhofer

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  • Cornell University College of Engineering

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  • Mathematics

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  • Regression Analysis.