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On Sequential Tests Which Minimize the Maximum Expected Sample Size

 

作者: Lionel Weiss,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1962)
卷期: Volume 57, issue 299  

页码: 551-566

 

ISSN:0162-1459

 

年代: 1962

 

DOI:10.1080/01621459.1962.10500543

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

X1,X2, …, are independent and identically distributed, the common distribution known except for the value of a parameter θ. The problem is to find a test ofH–1:θ = θ–1againstH1.θ=θ1, with pre-assigned error probabilities α, β, and which minimizes the maximum expected sample size (the maximum taken with respect to θ). For the cases where α = β and θ is the mean of a normal distribution, and where α = β and θ is a binomial probability and θ–1+ θ1= 1, a computational scheme for finding such a test is described.

 

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