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基于主成分回归模型在江苏省农民增收研究中的应用 被引量:8

The Application of the Principle Component Regression Model in Increasing Farmers' Income of Jiangsu Province
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摘要 增加农民收入是社会主义新农村建设的必然要求,本文以江苏省为例,收集1990-2007年数据,运用主成分回归分析方法建立统计模型,分析影响农民收入的主要因素,得出它们对农民收入增长的贡献率,并根据定量分析结果提出符合实际情况的政策建议。 Increasing the farmers' income is the requirement of the construction of socialist countryside. Taking Jiangsu Province as an example, the paper collects the 1990-2007 data to establish the statistical model by the principal component regression method, and analyzes the major factors influencing the increase of the farmers' income and gets the rate of contribution. At last, according to the results of quantitative analysis, it proposes the policy recommendation fit for the actual situation.
作者 辜子寅
出处 《统计教育》 2009年第4期21-24,共4页 Statistical education
关键词 农民增收 相关分析 共线性诊断 主成分回归 increase of farmers' income correlation analysis collinearity diagnostics principal component regression
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