DocumentCode
3583045
Title
Review and improvement on several typical regression diagnostics
Author
Feng, Hu ; Guoji, Sun
Author_Institution
Key Lab. of CIMS, Xi´´an Jiaotong Univ., China
Volume
1
fYear
2000
fDate
6/22/1905 12:00:00 AM
Firstpage
661
Abstract
Review is given on two kinds of regression diagnostics approaches including eight series of algorithms. Based on theoretical analysis and simulation, some shortcomings are pointed out. Three improvements are depicted, and a new detection algorithm is built, which is based on fault-tolerant identification and jackknife algorithms. Simulation shows that this new method is very efficient
Keywords
identification; statistical analysis; fault-tolerant identification; jackknife algorithms; regression diagnostics; theoretical analysis; Analytical models; Computer integrated manufacturing; Detection algorithms; Fault detection; Fault diagnosis; Fault tolerance; Laboratories; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.860055
Filename
860055
Link To Document