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Asymptotic Theory of Sequential Fixed-Width Confidence Interval Procedures

 

作者: R.J. Serfling,   D.D. Wackerly,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1976)
卷期: Volume 71, issue 356  

页码: 949-955

 

ISSN:0162-1459

 

年代: 1976

 

DOI:10.1080/01621459.1976.10480975

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

Consider a sequence of confidence intervals {In}. Sequential procedures are based on stopping rules which, for specified constantswandp, terminate sampling at a valuenfor whichInhas width approximatelywand noncoverage probability approximatelyp. Asymptotic analyses of such procedures have previously concerned onlyw→0withpfixed. This article presents a novel and general approach for the casep→ 0 withwfixed. Application is made to procedures based on the sample mean and median, and the corresponding asymptotic relative efficiencies are evaluated for selected values ofwfor the normal, Laplace, logistic, and uniform distributions.

 

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