Collinearity

The Problem of multi-variate Collinearity with an Example Based on Neural Network

多重共线性问题的神经网络实例分析

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

A collinearity equation based space resection adjustment model is presented under frame imaging pattern .

在框幅式成像模式下提出了基于共线方程的空间后方交会条件平差模型。

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

Ridge regression analysis has been used to eliminate collinearity of independent variables .

为了消除自变量间的多重共线性，使用了岭回归分析法。

Problems Caused by Collinearity and Solution in the Multivariate Second - degree Polynomial Model s

共线性在多元二次多项式回归模型中的危害及其处理方法

This phenomenon is resulted from the collinearity between flow sensors .

出现这种问题，主要是由于流量传感器之间的共线性造成的。

New Computation Method of Collinearity Equation Suiting Digital Photogrammetry

数字摄影测量共线方程的一种新解法

A collinearity equation of the calibration parameters was derived and linearized .

建立了关于校准参数的共线性方程，并对其进行线性化。

Multi-variable Collinearity in Logistic Regression Model : an Application to Study on the Risk Factors of Gastric Carcinoma

胃癌危险因素研究中多因子共线性的logistic回归分析

Decomposing Camera 's Exterior Orientation Elements Using 2D DLT and Collinearity Equation

利用2维DLT和共线方程分解相机外方位元素

On the Near Collinearity Detecting Problems

几乎共线性的度量问题

Principle component analysis ( PCA ) can extract the characteristics of input data and eliminate the collinearity of variables .

主元分析（PCA）能够有效地提取数据的特征信息，消除变量间的共线性；

In solving the regression equations , collinearity in the design matrix can result in inaccurate parameter estimates .

在解回归方程时，设计矩阵中的共线性可能产生不精确的参数估计。

Space resection is a fundamental element in photogrammetry which is based on the collinearity equations and linearization .

空间后方交会是摄影测量学的基本内容，其解算的理论基础是共线条件方程及其线性化。

Appling Multiple Collinearity Diagnosis in Multiple Regression to Analyse the Pathogenic Causes of Infantile Dental Caries

多重线性分析在幼儿龋病危险因素中的运用

Sufficient & Necessary Conditions for the Equivalence of Collinearity or Coplanarity of Vectors and Points

矢量与点的共线或共面充要条件的等价性

Why does perfect collinearity matter ?

为什么完全共线性是个问题？

Since the collinearity between them is not obvious enough to have effect on the regression results , it can be ignored here .

从回归过程的角度看，它们之间的共线性不明显，对回归结果的影响甚微，因此共线性对结果的影响可予以忽略。

Especially , the problems easily to be neglected are also pointed out , such as nonlinear regression , variable selection , multiple collinearity .

着重讨论若干易被忽视的问题，如非线性回归、变量选择和多重共线性等。

The rigorous geometric model based on the collinearity equations is the basic model for object positioning of high resolution remotely sensed imagery .

简要叙述高分辨率卫星遥感影像的严格几何模型，建立影像姿态角常差检校模型。

The use of orthogonal matrix transformations such as the singular value decomposition ( SVD ) can reduce the effect of collinearity .

用奇异值分解的正交矩阵变换可以减少共线性的影响。

Two is there more variables panel data information content of data , more variation variability , the less of linear collinearity , more and more freedom .

二是面板数据中的变量有更多信息含量的数据、更多的变异性（variability）、更少的共线性（collinearity）、更多的自由度和更强的有效性。

The Sufficient and Essential Condition of Collinearity of Diagonal Points of a Complete Six-Point Shape Inscribed in the Curve of Second Order

内接于二阶曲线的完全六点形对边点共线的充要条件

Collinearity Equation Model . Besides , the neural network can eliminate the influence of GCPs with gross error , and hence can better improve the efficiency .

网络模型能够自动抑制含较大误差控制点对模型纠正精度的影响，在实际应用中可以提高几何纠正效率。

Of all the methods for geometric rectification of remote sensing imagery , the Collinearity Equation Modelis usually considered to have the best accuracy .

在遥感影像几何校正方法中，通常认为精度最高的是共线方程模型。

High collinearity as they share , construction of the physical map of one rice subspecies can benefit from the sequence scaffolds of the other rice subspecies .

由于两个水稻亚种具有高度共线性，因此在构建两者的物理图时，彼此借鉴了各自的序列框架。

Then , this chapter carried on the relevant analysis to the explanatory variable , the relevant analysis result had indicated that this article did not have the serious multiple collinearity .

然后，本章对解释变量进行了相关性分析，相关性分析结果表明本文不存在严重的多重共线性。

The vision measurement principle based on structured light and camera imaging model is discussed and analyzed in detail . And the wave height solution method based on collinearity equation model is built .

对结构光视觉测量原理以及摄像机成像模型进行了具体的论述与分析，建立了基于共线方程的浪高解算模型。

In addition , as the most important food crops in China , rice holds the smallest genome and a wide range of collinearity with other cereal crops .

另外，作为我国最重要的粮食作物，水稻具有禾谷类作物中最小的基因组，与其他作物之间存在广泛的共线性。