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An improvement on paulson's procedure for selecting the poprlation with the largest mean from k normal populations with a common unknown variance

 

作者: Mark Hartmann,  

 

期刊: Sequential Analysis  (Taylor Available online 1991)
卷期: Volume 10, issue 1-2  

页码: 1-16

 

ISSN:0747-4946

 

年代: 1991

 

DOI:10.1080/07474949108836222

 

出版商: Marcel Dekker, Inc.

 

关键词: normal means selection;indifference-zone approach;elimination procedures

 

数据来源: Taylor

 

摘要:

We obtain a tighter bound on the probability of making a correct selec tion in Paulson's procedure for selecting the normal population which has the largest population mean when the populations have a common unknown Tali ance. As a consequence, we are able to use a sharper value for the coristallt a*in Paulson's procedure. Simulation studies indicate that this leads to ari inlprovement in the expected number of stages to termination and expettetl total number of observations which is uniform in k, P*s and σ/δ*.

 

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