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
Subjects:
Mathematical Statistics;
Statistical Theory & Methods;
Statistics;
Statistics for the Biological Sciences;
Stochastic Models & Processes;
Formats available:
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(English)
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Abstract
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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| Keywords: Generalized least-squares; generalized inverse; BAYES estimation; sweep operators |
| view references (6) |

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squares estimation, is obtained by a confluence of limiting BAYES estimation and BEATON-DEMPSTEB sweep operations.
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