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A bayes, sweep-operational construction for raos unified theory of linear estimation

 

作者: M. Stone,   J. L. Wang,  

 

期刊: Statistics  （Taylor Available online 1989）
卷期: Volume 20, issue 1  

页码: 3-11

 

ISSN:0233-1888

 

年代: 1989

 

DOI:10.1080/02331888908802136

 

出版商: Akademie-Verlag

 

关键词: Generalized least-squares;generalized inverse;BAYES estimation;sweep operators

 

数据来源: Taylor

 

摘要:

A generalized inverse, found by C. R. RAO to deliver the necessities for least≂ squares estimation, is obtained by a confluence of limiting BAYES estimation and BEATON-DEMPSTEB sweep operations.

 

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