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
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4577-0305-8
DOI :
10.1109/ICMLC.2011.6016809