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Sequential Estimation in the Uniform Density

 

作者: PeterJ. Cooke,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1971)
卷期: Volume 66, issue 335  

页码: 614-617

 

ISSN:0162-1459

 

年代: 1971

 

DOI:10.1080/01621459.1971.10482317

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

The main problem to be solved here may be described as follows: Let X1, X2, ··· be independent random variables, each with density fθ(x) = 1/θ over (0, θ) and zero elsewhere. It is desired to estimate the unknown parameter θ by an interval of length at most d units and with confidence at least 1 −α, for some specified d>0 and α in (0, 1). An exact solution and an asymptotic theory for a sequential procedure are given in Sections 1 and 2, respectively. The procedure proposed in this article satisfies an admissibility criterion which may be stated in terms of the maximum possible number of observations or, alternatively, the expected number of observations.

 

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