| 基于SPSS主成分分析法在公路客运量预测中的应用 |
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| 引用本文： | 高王翠,单飞,杨宇翔.基于SPSS主成分分析法在公路客运量预测中的应用[J].山东交通科技,2011(2). |
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| 作者姓名： | 高王翠 单飞 杨宇翔 |
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| 作者单位： | 河南省交通科学技术研究院有限公司; |
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| 摘 要： | 分析选取影响公路客运量的主要因素,基于SPSS统计软件对各因素进行主成分分析,将众多相关因素简化为少数不相关因素,消除由于变量过多导致的多重共线性影响,构建了河南省公路客运量预测模型。实例证明,该模型具有较高的精度,能够满足河南省公路客运量预测的需要。
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| 关 键 词： | SPSS 主成分 公路客运量 预测 多重共线性 |
Application of the principal component analysis method on highway passenger transport volume forecast based on SPSS |
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| GAO Wang-cui,SHAN Fei,YANG Yu-xiang.Application of the principal component analysis method on highway passenger transport volume forecast based on SPSS[J].SHANDONG JIAOTONG KEJI,2011(2). |
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| Authors: | GAO Wang-cui SHAN Fei YANG Yu-xiang |
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| Institution: | GAO Wang-cui,SHAN Fei,YANG Yu-xiang(Henan Transportation Research Institute Co.,Ltd.,Henan Zhengzhou 450006 China) |
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| Abstract: | The paper analyzes and selects mostly factors which affect highway passenger transport volume,uses the method of principle component analysis based on SPSS to analysis the factors,simplify the numerous correlation factors to the minority non-correlated factors,in order to eliminate multicollinearity because of excessively many variables,and establishes the forecast model of highway passenger transport volume in Henan province.The instance indicates that the highway passenger transport volume forecast model ... |
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| Keywords: | SPSS principle component highway passenger transportation volume forecast multicollinearity |
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