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Exponential Families and Variance Component Models

 

作者: DennisL. Clason,   LeighW. Murray,  

 

期刊: The American Statistician  （Taylor Available online 1992）
卷期: Volume 46, issue 1  

页码: 29-31

 

ISSN:0003-1305

 

年代: 1992

 

DOI:10.1080/00031305.1992.10475843

 

出版商: Taylor & Francis Group

 

关键词: Completeness;Lehmann-Scheffé theorem;Random components;Sufficiency

 

数据来源: Taylor

 

摘要:

This article shows that two slightly differential exponential families are needed for commonly used linear models. The first family is the usual textbook definition. The second family, due to a lemma by Gautschi, is needed for some cross-classified variance component models.

 

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