multicollinearity

英式音标：[mʌltɪkəlɪ'nɪərɪtɪ]

美式音标：[mʌltɪkəlɪ'nɪərɪtɪ]

词汇分类：FRM一级必备词汇,金融专业高频词汇,CFA二级必备词汇

词义：

n.

多重共线性；

英英释义

multicollinearity[ ,mʌltikəli'niəriti ]

n.a case of multiple regression in which the predictor variables are themselves highly correlated

用法：

双语例句

用作名词(n.)

Illustrated by the linear regressive model for Chinese output, we have the analysis of Multicollinearity.
摘要以中国出口量线性回归模型为例，对多重共线性问题进行着重分析。

权威例句

Multicollinearity in Regression Analysis: The Problem Revisited

Confronting Multicollinearity in Ecological Multiple Regression

Decreasing Multicollinearity: A Method for Models with Multiplicative Functions.

Multicollinearity and Measurement Error in Structural Equation Models: Implications for Theory Testing

Multicollinearity and Measurement Error in Structural Equation Models: Implications for Theory Testing

Multicollinearity and correlation among local regression coefficients in geographically weighted regression

Interaction, nonlinearity, and multicollinearity: Implications for multiple regression

ESA Online Journals - CONFRONTING MULTICOLLINEARITY IN ECOLOGICAL MULTIPLE REGRESSION

Performance of some variable selection methods when multicollinearity is present

Latent Root Regression: An Alternate Procedure for Estimating Parameters in the Presence of Multicollinearity

造句：

1. The least Square estimates are not reliable when there exists multicollinearity in adjustment model.

当平差模型中存在复共线关系时，未知参数的最小二乘估计很不可靠。

youdao

2. Especially, the advantages of the method are marked, while the variables Xs multicollinearity being serious.

特别，当变量X多重相关性突出时，本文方法效果显著。

youdao

3. For the problem of multicollinearity and the number of explanatory variables rather than practical issues, s.

针对变量多重相关性及解释变量多于样本点等实际问题，伍德S。

youdao

4. In Chapter 5 I inquire into the influence analysis of variable selections in modeling through data , multicollinearity andmodel mis-specification.

第五章探讨了建摸中变量选择的影响分析，刻划了数据、复共线性关系和模型错定对自变量选择的影响。

youdao

5. Based on this, an on-line evaluation model of process stability with statistical method and partial-least-square regression (PLSR) was set up which overcome the multicollinearity of input parameters.

采用统计分析和偏最小二乘回归方法提出了过程稳定性在线评价模型，克服了输入变量严重多重相关性的问题。

youdao

6. Further, on this basis we derived an instrumental variable regression model. After disregarding the effect of multicollinearity among the explanatory variables, we verify the accuracy of the results.

并以此为基础，衍生出工具变量回归模型，在剔除了解释变量多重共线性的影响后，验证了结果的准确性。

youdao

7. Further, on this basis we derived an instrumental variable regression model. After disregarding the effect of multicollinearity among the explanatory variables, we verify the accuracy of the results.

并以此为基础，衍生出工具变量回归模型，在剔除了解释变量多重共线性的影响后，验证了结果的准确性。

youdao