DocumentCode
393699
Title
Robust interval regression analysis based on Minkowski difference
Author
Inuiguchi, Masahiro ; Fujita, Haruki ; Tanino, Tetsuzo
Author_Institution
Osaka City Univ., Japan
Volume
4
fYear
2002
fDate
5-7 Aug. 2002
Firstpage
2346
Abstract
In this paper, we propose robust interval regression methods based on Minkowski difference. In the previous interval regression methods, the estimated interval function is strongly influenced by some outliers. We introduce M-estimators developed in robust regression to interval regression methods and propose interval regression techniques whose resulting estimated interval functions are not strongly influenced by some outliers.
Keywords
statistical analysis; Minkowski difference; estimated interval function; interval functions; interval regression methods; robust interval regression analysis; Bridges; Least squares methods; Linear programming; Minimization methods; Parameter estimation; Quadratic programming; Regression analysis; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN
0-7803-7631-5
Type
conf
DOI
10.1109/SICE.2002.1195774
Filename
1195774
Link To Document