农业投入产出变量的主成分回归分析模型  

The Regression Models of Principle Component Analysis on In-output Variables in Agriculture

作　　者：孔朝莉[1] 杨启昌[1] 

机构地区：[1]鞍山师范学院数学系,辽宁鞍山114005

出　　处：《鞍山师范学院学报》2006年第4期11-14,共4页Journal of Anshan Normal University

摘　　要：运用主成分回归分析方法,建立了关于我国农业投入产出诸变量的回归模型,同时消除了多重共线性,并且模型都达到了很高的拟合优度,体现了主成分回归分析在消除回归模型中的多重共线性的优越性.研究具有一定的实际意义,可用于对农业产出进行预测及控制.The article established the regression models of the in-output variables in agriculture by method of principle component analysis. And at the same time the models eliminated the multi-collinearity as well as reached to a high level of goodness of fit,which embodies the advantage of the statistical method of principle component analysis on regression modeling. The study of the article is of great significance concerning practical usage ,and the models can be used in forecasting and control.

关 键 词：主成分回归分析 投入产出变量 多重共线性 拟合优度检验 

分 类 号：O212[理学—概率论与数理统计]