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Curtailed versions of randomized binomial tests

 

作者: Bennett Eisenberg,   Clarence Lienhard,  

 

期刊: Sequential Analysis  （Taylor Available online 1989）
卷期: Volume 8, issue 3  

页码: 317-329

 

ISSN:0747-4946

 

年代: 1989

 

DOI:10.1080/07474948908836184

 

出版商: Marcel Dekker, Inc.

 

关键词: curtailed test;weakly admissible test;sequential test;randomized test;Bernoulli parameter

 

数据来源: Taylor

 

摘要:

Consider a fixed sample size uniformly most powerful test of Ho: p ≤ poversus H1: p > po, where p is a Bernoulli parameter. If the test is non randomized, an optimally curtailed version stops sampling as soon as the final decision is certain. If the test is andomized, the optimal curtailment procedure is more complex. This paper gives a Simple, complete characterization of weakly admissible curtailments of such randomized tests.

 

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