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Confidence intervals on p(y < x) for small sample sizes

 

作者: John Stedl,   Ken Fox,  

 

期刊: Communications in Statistics - Simulation and Computation  （Taylor Available online 1978）
卷期: Volume 7, issue 2  

页码: 151-161

 

ISSN:0361-0918

 

年代: 1978

 

DOI:10.1080/03610917808812067

 

出版商: Marcel Dekker, Inc.

 

关键词: Lehmann alternatives;simulation;Mann-Whitney;location shift

 

数据来源: Taylor

 

摘要:

When F = Ga, confidence intervals are derived and presented in graphs for p = P(Y < X), when X and Y are independent and the sample sizes are at most 25. Also, it is demonstrated via a monte carlo simulation that this is a robust procedure, when the distributions of X and Y differ by a location parameter.

 

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