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摘要翻译：
本文从辅助中心回归（有截距）和非中心回归（无截距）两个方面分析了多元线性回归中近多重共线性的诊断。从这些辅助回归中，分别计算了中心和非中心方差膨胀因子。文中还给出了一个将两者联系起来的表达式。
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英文标题：
《Centered and non-centered variance inflation factor》
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作者：
Rom\'an Salmer\'on G\'omez, Catalina Garc\'ia Garc\'ia y Jos\'e
Garc\'ia P\'erez
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最新提交年份：
2019
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分类信息：
一级分类：Economics 经济学
二级分类：Econometrics 计量经济学
分类描述：Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论，微观计量经济学，宏观计量经济学，通过新方法发现的经济关系的实证内容，统计推论应用于经济数据的方法论方面。
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一级分类：Statistics 统计学
二级分类：Methodology 方法论
分类描述：Design, Surveys, Model Selection, Multiple Testing, Multivariate Methods, Signal and Image Processing, Time Series, Smoothing, Spatial Statistics, Survival Analysis, Nonparametric and Semiparametric Methods
设计，调查，模型选择，多重检验，多元方法，信号和图像处理，时间序列，平滑，空间统计，生存分析，非参数和半参数方法
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英文摘要：
This paper analyzes the diagnostic of near multicollinearity in a multiple linear regression from auxiliary centered regressions (with intercept) and non-centered (without intercept). From these auxiliary regression, the centered and non-centered Variance Inflation Factors are calculated, respectively. It is also presented an expression that relate both of them.
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PDF链接：
https://arxiv.org/pdf/1905.12293
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