DocumentCode
2993314
Title
The use of linear regression and related procedures for the identification of dynamic processes
Author
Young, P.C.
Author_Institution
Naval Weapons Center, China Lake, California
fYear
1968
fDate
16-18 Dec. 1968
Firstpage
53
Lastpage
53
Abstract
There has been renewed interest recently in the application of multivariate linear regression analysis to the problem of identifying a dynamic process fram normal operating data. The present paper mentions some of the inherent limitations of the linear regression approach and discusses alternative, but related recursive parameter estimation procedures which overcome some of these limitations.
Keywords
Additive noise; Difference equations; Differential equations; Estimation theory; Gaussian processes; Least squares approximation; Linear regression; Noise level; Regression analysis; Tellurium;
fLanguage
English
Publisher
ieee
Conference_Titel
Adaptive Processes, 1968. Seventh Symposium on
Conference_Location
Los Angeles, CA, USA
Type
conf
DOI
10.1109/SAP.1968.267088
Filename
4044540
Link To Document