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共线性

n.colinearity; collineation
网络collinearity; multicollinearity; synteny

共线性

共线性

英-汉网络释义

共线性

collinearity

love_you_forever -- 编程爱好者博客 ... coefficient of correlation 相关系数 collinearity 共线性 column 列 ...

colinearity

石油英语词汇(C4) ... colinear 同线的 colinearity 共线；共线性 Colisporites 喙刺大孢属 ...

multicollinearity

共线性 (multicollinearity) 指多元回归模型中各自变量之中至少有两个完全或高度相关。自变量之间完全相关的情况很少见，一 …

synteny

...（colinearity），近来文献中越来越多地用共线性（synteny）来描述同线性（colinearity）和同源性（homeology）。

multi-colinearity

1. 何谓共线性 (multi-colinearity) 问题？如何侦测与克服（15分）2. R2 (R square) 与 Adjusted R2 二者的意义有何差别？

VIF

1. 共线性(VIF)432. Cronbach’s α443.

3

Main components analysis method could eliminate the colinear among all the variate and reduce variate quantity .

该方法可消除各变量之间的共线性，减少变量的个数，结果直观；

4

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。

6

Conclusion : Cluster regression analysis is more effective to deal with non-normal distribution data and multi-collinearity.

结论：聚类回归能较好地处理非正态性资料和多重共线性。

8

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。

9

Objective To research the NIPALS algorithm of PLS regression in the function of eliminating collinearities .

目的探讨 PLS 回归理论在消除多元共线性中的作用。

11

Firstly, reduced the dimensions of correlated inputs and denoised for sample by PLS, then construct the SVM model .

该方法通过 PLS 对样本数据进行降维、去噪以及消除共线性处理后，再进行 SVM 回归建模。

12

I have intentionally kept the discussion of multicollinearity to a minimum .

我特意保留了多重共线性的讨论到最低限度。

13

Why does perfect collinearity matter ?

为什么完全共线性是个问题？

14

Improvement of multi-variable's redundant attributes in classification algorithm of support vector machines

支持向量机分类算法中多元变量共线性问题的改进

17

Cause of multi-collinearity and its diagnosis and treatment

多重共线性的产生原因及其诊断处理

18

Further Study on Methods in Handling Multi-variable Collinearity in Cox Regression Model

Cox 模型多因子共线性处理方法的进一步研究

19

Instance Analysis of Multi-Collinearity by Stepwise Regression

多重共线性的逐步回归检验分析

20

Discovery and Handling of Collinearity in the Screening Of Cancer Risk Factors

肿瘤危险因素的筛选与多重共线性的诊断和处理

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