| 苏州外资制造业增长因素分析模型 |
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| 引用本文： | 程毛林. 苏州外资制造业增长因素分析模型[J]. 吉首大学学报(自然科学版), 2014, 35(1): 25-28. DOI: 10.3969/j.issn.1007-2985.2014.01.007 |
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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，江苏 苏州 215009） |
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| 基金项目： | 江苏省自然科学基金资助项目（BK2012165） |
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| 摘 要： | 苏州外资制造业经济增长受众多因素影响,各因素之间存在变量的多重相关现象,一般的多元回归分析自变量之间存在较严重的多重共线性.采用偏最小二乘回归对经济增长影响因素建模分析，这样最大限度地概括了原自变量系统中的数据信息，克服了多重共线性，同时自变量对因变量具有最大的解释能力，可靠性高.
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| 关 键 词： | 苏州外资制造业 偏最小二乘回归 建模 因素分析 |
Factor Analysis Model of Suzhou Foreign Capital Manufacturing Growth |
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| CHENG Mao-Lin. Factor Analysis Model of Suzhou Foreign Capital Manufacturing Growth[J]. Journal of Jishou University(Natural Science Edition), 2014, 35(1): 25-28. DOI: 10.3969/j.issn.1007-2985.2014.01.007 |
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| Authors: | CHENG Mao-Lin |
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| Affiliation: | (School of Mathematics and Physics,Suzhou University of Science and Technology,Suzhou 215009，China) |
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| Abstract: | The economic growth of Suzhou foreign capital manufacturing industry is subjected to numerous influential factors,and among these factors there is a multi-related relaxionship between variables,generally independent variable of multivariate regression analysis is more serious in multicollinearity.This paper uses partial least square regression to set up a model,and analyics the economic growth impact factor.so on the one hand,it generalizes the data information with maximum limit in the original independent variable system,overcome multicollinearity;on the other hand independent variable has the greatest interprefaction ability for dependent variable,and reliability is high. |
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| Keywords: | Suzhou foreign capital manufacturing partial least square regression modeling factor analysis |
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