| 基于主成分回归模型的经济增长因素分析 |
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| 引用本文： | 程毛林.基于主成分回归模型的经济增长因素分析[J].运筹与管理,2012(1):175-179. |
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| 作者姓名： | 程毛林 |
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| 作者单位： | 苏州科技学院数理学院 |
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| 摘 要： | 在经济增长因素分析中,常用多元回归分析方法,但有时建立的回归模型拟合效果不好或不合理。为此本文给出建立主成分回归分析的方法。本文对经济增长给出两种回归分析方法,即建立主成分线性回归模型,分析经济增长的边际效应,建立主成分非线性回归模型,分析经济增长的弹性效应,实例表明效果很好。
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| 关 键 词： | 经济增长 主成分 回归分析 边际效应 弹性效应 |
The Factor Analysis of Economic Growth Based on Regress Model of Principal Components |
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| CHENG Mao-lin.The Factor Analysis of Economic Growth Based on Regress Model of Principal Components[J].Operations Research and Management Science,2012(1):175-179. |
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| Authors: | CHENG Mao-lin |
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| Institution: | CHENG Mao-lin(School of Mathematics and Physics,University of Science and Technology of Suzhou,Suzhou 215009,China) |
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| Abstract: | We often use multiple regression analysis on factor analysis of economic growth,but sometimes regression model is not good at fitting effect or is of inconsequence.Therefore this paper gives the method of establishing principal components regression analysis.It gives two methods of regression analysis,the model of principal components linear regression,which analyses the magrginal effect of economic growth,and the model of principal components nonlinear regression,which analyses the elasticity effect of economic growth.The example indicates that the effect is very good. |
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| Keywords: | economic growth principal components regress analysis magrginal effect elasticity effect |
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