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

Authors: M. Stone a; J. L. Wang a
Affiliation:   a University College London and East China Normal University, Shanghai
DOI: 10.1080/02331888908802136
Publication Frequency: 6 issues per year
Published in: journal Statistics, Volume 20, Issue 1 1989 , pages 3 - 11
Formats available: PDF (English)
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Abstract

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