A Bayesian approach to the design of decision rules for failure detection and identification

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/2848

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DC Field	Value	Language
dc.contributor	Chow, Edward Y.	-
dc.contributor	Willsky, Alan S.	-
dc.date	2003-04-29T15:22:18Z	-
dc.date	2003-04-29T15:22:18Z	-
dc.date	1983	-
dc.date.accessioned	2013-06-04T16:15:32Z	-
dc.date.available	2013-06-04T16:15:32Z	-
dc.date.issued	2013-06-05	-
dc.identifier	http://hdl.handle.net/1721.1/2848	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	Edward Y. Chow and Alan S. Willsky.	-
dc.description	"February 14, 1983."	-
dc.description	Bibliography: p. 37-38.	-
dc.description	Office of Naval Research Contract No. N00014-77-C-0224 NASA Ames Research Grant No. NGL-22-009-124	-
dc.format	38 p.	-
dc.format	2093229 bytes	-
dc.format	application/pdf	-
dc.language	eng	-
dc.publisher	Laboratory for Information and Decision Systems, Massachusetts Institute of Technology	-
dc.relation	LIDS-P ; 1281	-
dc.subject	TK7855.M41 E3845 no.1281	-
dc.subject	Bayesian statistical decision theory	-
dc.title	A Bayesian approach to the design of decision rules for failure detection and identification	-
Appears in Collections:	MIT Items

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