multicollinearity

multicollinearity

1. PLS2 regression successfully solve the multicollinearity problems among the indices, which indicates that the customer satisfaction indices computed are better and more reasonable.

PLS2回归较好地克服了各指标间的多重共线性问题，通过此方法求得的顾客满意度指数更准确、合理。

2. no perfect multicollinearity

不完全多重共线性

3. Keywords uncertainty;dam safety monitoring;fiducial monitoring state correction;uncertainty inverse analysis;multicollinearity;risk analysis;

不确定性;大坝安全监控;基准值状态修正;不确定性反分析;多重相关性;风险分析;

4. To avoid multicollinearity"s disturbance, partial least-squares regression which can identify system information and noise is introduced to model, and a novel seepage monitoring model is introduced.

为了克服多重相关性对模型的干扰，本文引入了能辨别系统信息与噪声的偏最小二乘回归，并提出了一种基于偏最小二乘回归原理的土石坝渗流监控模型。

5. Keywords BF%;Stepwise regression;Multicollinearity;Principle component regression;

体脂率;逐步回归;多重共线性;主成分回归;

6. Exception: if the new regressor is perfectly multicollinear with the original regressors, then OLS cannot be implemented.

例外：如果这个新解释变量与原有的解释变量完全共线，那么OLS不能使用。

7. Keywords Partial least squares;Regression;Outlier;Multicollinearity;

偏最小二乘;回归;离群点;多重共线性;

8. Employing Principal Component Analysis method, we can extract a few generated variables from many governance factors, avoiding the problem of multicollinearity.

再以主成份分析法将众多公司治理因素萃取成数个主成份，以达到变数缩减的效果，避免共线性问题的产生。

9. On the other hand, they all cannot give which variables exist multicollinearity.

另一方面，它们都不能具体给出哪些变量是多重共线性的。

10. Advantage of ridge regression ouer LS in solving multicollinearity

在解决多重共线性问题上岭回归法比LS法的优越性

11. BIASED ESTIMATOR BASED ON DIAGNOSIS AND MEASURE OF MULTICOLLINEARITY

基于复共线性诊断和度量的有偏估计

12. Research on improvement of generalized ridge estimation in multicollinearity condition

复共线性条件下广义岭估计的改进

13. Implementation of Mining Algorithm for the Regression Model Based on Spatial Multicollinearity Data

复共线性空间数据回归模型挖掘算法及其实现

14. Keywords Multicollinearity Multiple linear regression Variance inflation factors Eigenvalues;

多元共线性;多元回归分析;方差膨胀因子;特征根;

15. Multicollinearity is very harmful to multiple linear regression. Some preliminary studyings in estimating, diagnosing and handling are given here.

多元分析;;回归分析;;臌胀;;不确定;;诊断

16. multicollinearity test

多重共线性检验

17. MULTICOLLINEARITY DIAGNOSIS AND ITS APPLICATION TO THE DETERMINATON AND PARAMETER ESTIMATON OF NONLINEAR AERODYNAMIC MODEL

多重共线性诊断及其在飞行器非线性气动模型结构确定和参数估计中的应用

18. perfect multicollinearity

完全多元共线性

19. Our research also proposes some methods that utilize multivariate factor analysis to overcome the multicollinearity of the regression model.

对于正的预测修改呈现高度反应，而对负的预测修改呈现低度反应。

20. It is powerful for multicollinearity,particularly when the number of predictor variables is large and the sample size is small,and provides a novel and efficient algorithm for pattern recognition.

将该算法应用于土地质量的分类识别,结果表明,该文所建立的算法是有效的、可靠的。

21. Keywords Ridge Regression multicollinearity wellbore stability;

岭回归;复重共线性;井壁塌坍;

22. The conclusion is: although four kinds of measures are carried on the description from the different aspect to the multicollinearity questions, the obtained conclusion is consistent.

所得的结论是，尽管四种度量是从不同的方面对多重共线性问题进行描述，所得的结论是一致的。

23. 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。

24. As the multicollinearity exists in the interpretive variable of regression model, it often brings inconvenience to settling many problems.

摘要由于回归模型中解释变量之间多重共线性的存在，常常给许多问题的解决带来不便之处。

25. It is also found that the potential multicollinearity problem of using the proxy work experience variable is non-negligible.

本文亦发现设算工作经验变数可能产生的线性重合问题所造成的影响是不容忽视的。

26. The results indicate that adjusted R square is 80% without the problem of multicollinearity.

本研究分析结果发现，在无严重共线性下，R平方为84%，有相当高之解释能力。

27. The essay has mainly studied about two aspect content: The recognitions and revision of multicollinearity in linear model;

本论文主要研究了以下两个方面的内容：线性模型中多重共线性的识别与修正；

28. exact multicollinearity

精确多重共线性

29. Result indicates that Fuzzy Principal Component Method can improve multicollinearity of Least Squares Estimate.

结果表明,这种方法改善了最小二乘回归中的多重共线性问题,具有实用价值。

30. Results:The uncertainty of parameter estimation and the difficulty in explaining the outcome due to the multicollinearity in mult-regression analysis are removed.

结果：消除了多元回归分析中由于共线性产生的参数估值不稳定性及结果中不好解释的现象。

31. Conclusion:This method has the practically applied value in resolving the multicollinearity.

结论：在解决共线性的问题中有实际应用价值。

32. Research on the Multicollinearity Existing in Observation Data Simulation and Analysis

观测数据拟合分析中的多重共线性问题

33. Multicollinearity Problems and Their Treatment in Statistical Studies of Land use Change

论土地利用变化统计分析中的多重共线性问题

34. On the Harm of Multicollinearity to Linear Regression Model in Sports Scientific Research and Its Diagnosis and Remedy

试论多重共线性对体育科研中线性回归模型的危害及其诊断和补救方法

35. near-extreme multicollinearity

近似极端多重共线性

36. partial multicollinearity

部分多重共线性

37. Contraposing the problems of multicollinearity among indexes of evaluation sample,projection pursuit principal components analysis has been presented in this paper. 3.

针对评价样本指标间存在多重相关性问题,本文建立了投影寻踪主成分分析。

38. absence of multicollinearity

非多重共线性

39. Which kind of models is the most adaptive one when a set of datums from actual sircumstances in which multicollinearity exists are suitable to be dealed with by the linear regression model ?

面对由实际情况测量所得的一组数据，当适合使用线性回归，而自变量之间又存在严重的共线现象时，哪一种模型又是最适合的呢?