A Bayesian approach to the design of decision rules for failure detection and identification
Citable URI:
http://hdl.handle.net/1721.1/2848
| Title: | A Bayesian approach to the design of decision rules for failure detection and identification |
| Author: | Chow, Edward Y.; Willsky, Alan S. |
| Publisher: | Laboratory for Information and Decision Systems, Massachusetts Institute of Technology |
| Issue Date: | 1983 |
| Description: |
"February 14, 1983." Bibliography: p. 37-38. |
| URI: | http://hdl.handle.net/1721.1/2848 |
| Series/Report no.: | LIDS-P ; 1281 |
| Keywords: | TK7855.M41 E3845 no.1281, Bayesian statistical decision theory |
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| Files | Size | Format | View | |
|---|---|---|---|---|
| P-1281-15680929.pdf | 2.093Mb |
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LIDS Technical Reports
The Laboratory for Information and Decision Systems Technical Report Series
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