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
fDate :
6/22/1905 12:00:00 AM
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;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.860055
