重庆理工大学学报：自然科学2012，Vol.26Issue(8)：113-116,4.
灰色多元线性回归方法的改进及应用
Improvement of Grey Multiple Linear Regression Analysis and Application
摘要
Abstract
Classical multiple linear regression analysis cannot track the response variables dynamic change in time and the fitting results would be impacted for a small amount of sick data. This paper applies grey combination forecast method to reject noise pollution in the observation data of independ- ent variable, improves the traditional method of multiple linear regressions, and sets up a grey combination multiple linear regressions model. Finally, the more predictable precision examples show this improvement model has关键词
灰色模型/组合预测/多元线性回归Key words
grey predication model/combination forecast/multiple linear regressions分类
数理科学引用本文复制引用
王丰效,周伟萍..灰色多元线性回归方法的改进及应用[J].重庆理工大学学报：自然科学,2012,26(8):113-116,4.基金项目
国家社会科学基金西部项目 （）
