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More Powerful Tests from Confidence IntervalpValues

 

作者: RogerL. Berger,  

 

期刊: The American Statistician  （Taylor Available online 1996）
卷期: Volume 50, issue 4  

页码: 314-318

 

ISSN:0003-1305

 

年代: 1996

 

DOI:10.1080/00031305.1996.10473559

 

出版商: Taylor & Francis Group

 

关键词: Binomial;Confidence interval;Contingency table;Homogeneity test;Independence;pvalue, 2×2 table.

 

数据来源: Taylor

 

摘要:

In this article the problem of comparing two independent binomial populations is considered. It is shown that the test based on the confidence intervalpvalue of Berger and Boos often is uniformly more powerful than the standard unconditional test. This test also requires less computational time.

 

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