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Empirical Bayes Estimation in Finite Population Sampling

 

作者: Malay Ghosh,   Glen Meeden,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1986)
卷期: Volume 81, issue 396  

页码: 1058-1062

 

ISSN:0162-1459

 

年代: 1986

 

DOI:10.1080/01621459.1986.10478373

 

出版商: Taylor & Francis Group

 

关键词: Relative savings loss;Asymptotic optimality

 

数据来源: Taylor

 

摘要:

Empirical Bayes methods are becoming increasingly popular in statistics. Robbins (1955) introduced the method in the context of nonparametric estimation of a completely unspecified prior distribution. Subsequently, the method has been explored very successfully in a series of articles by Efron and Morris (1973, 1975, 1977) in a parametric framework. In the Efron—Morris setup, a family of parametric distributions is used as possible priors, but only when one or more of the parameters of the family of prior distributions is estimated from the data. Morris (1983) listed a number of areas where empirical Bayes methods are used.

 

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