Title :
Research of the Regression Method Based on Quasi-linear Function
Author :
Li, Fa-chao ; Yang, Kuo
Author_Institution :
Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Abstract :
Regression analysis, which is an effective tool of scientific prediction and management, is an important branch of statistics. According to the analysis of the current regression, we establish a quasi-linear regression model (QRM) based on the concept of quasi-linear function. Then, we got the solution of QRM by combining with genetic algorithm (GA). And its characteristic is proved through an example. The results show that QRM not only includes the current methods of regression, but also has a good operability. Different parameters can be set to reflect the different decision-making consciousness. Beyond prediction and management, the application of QRMis becoming more and more widespread.
Keywords :
decision making; genetic algorithms; regression analysis; QRMis; decision making; genetic algorithm; quasilinear function; quasilinear regression model; regression analysis; scientific management; scientific prediction; genetic algorithm (GA); least square method (LSM); prediction; quasilinear function; regression;
Conference_Titel :
Web Information Systems and Mining (WISM), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8438-6
DOI :
10.1109/WISM.2010.36