DocumentCode
552520
Title
The research about independence of random errors in quasi-linearity regression model
Author
Song, Wei ; Jing, Ying ; Tong, Zhi-chen ; Li, Fa-chao
Author_Institution
Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Volume
2
fYear
2011
fDate
10-13 July 2011
Firstpage
887
Lastpage
890
Abstract
How to construct a regression model with good operability is the core of regression analysis. In this paper, by analyzing the efficiencies of the existing regression methods, we establish quasi-linear regression model (denoted by QRM for short) which has good structure and approximation properties; further we put forward the plan to test the independence of random errors based on residual analysis, and MATLAB gives the strategies; finally, we analyze the effectiveness of these discussions by an illustrative example.
Keywords
approximation theory; random processes; regression analysis; MATLAB; approximation property; quasi-linearity regression model; random errors; residual analysis; Cybernetics; Fitting; Gaussian distribution; MATLAB; Machine learning; Mathematical model; Regression analysis; Quasi-linear function; Random errors; Regression analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location
Guilin
ISSN
2160-133X
Print_ISBN
978-1-4577-0305-8
Type
conf
DOI
10.1109/ICMLC.2011.6016809
Filename
6016809
Link To Document