DocumentCode
2649719
Title
A new approach for regression with unknown but bounded errors
Author
Wang, Shuning ; Dai, Jianshe ; Hu, Ping
Author_Institution
Inst. of Syst. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
2
fYear
1994
fDate
29 June-1 July 1994
Firstpage
1543
Abstract
The problem of regression within an application region is studied in this paper. The model errors are regarded as unknown but bounded. A concept of optimal forecasting parameter is introduced. The criterion and algorithm for determining this parameter are proposed. It is shown by a practical application that the forecasting accuracy can be improved by the new approach as compared with an ordinary parameter estimation method.
Keywords
forecasting theory; identification; optimisation; statistical analysis; bounded errors; identification; model errors; nonlinear regression; optimal forecasting parameter; Educational institutions; H infinity control; Nonlinear equations; Parameter estimation; Systems engineering and theory; Uncertainty; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1994
Print_ISBN
0-7803-1783-1
Type
conf
DOI
10.1109/ACC.1994.752328
Filename
752328
Link To Document