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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