多重共线性

This dissertation gives full consideration to the multicollinearity problems that may appear among proxy variables of ownership structure.

对股权结构各替代变量之间可能出现的多重共线性进行了全面考虑。

Factors affecting the correlation analysis, the existence of multicollinearity.

对影响因素进行相关性分析，存在多重共线性。

When Rj2 is very close to 1, xj is highly correlated with other regressors, this is called multicollinearity.

当Rj2非常接近1时， xj与其它解释变量高度相关，被称为多重共线性。

Therefore,the thesis carries on the test by selecting the data of china stock exchange between 2004 and 2005 and revises the model accordingly to overcome multicollinearity and heteroscedasticity.

为此，选取2004-2005年的国内股票市场数据进行了这一检验，并对模型进行了修正，以克服多重共线性和异方差性。

This paper proposes the logistic default probability measure model which is based on the factor analysis , in the light of the problem of missing original data 、multicollinearity and without time consideration in the general Logistic probability of default model.

本文针对一般Logistic 违约率模型中原始数据信息的丢失、多重共线性以及没有考虑时间因素等问题，提出了基于因子分析的logistic违约概率测算模型。

Stment to developed country and the Chinese direct investment to developing country. On this basis, we get four regression models. Considering there are more variables in the equations, It will product multicollinearity, so we utilized a new method which is ridge regression.

在这个基础上，我们提出了四个回归模型，由于考虑到方程中的变量较多，产生了多重共线性的现象，在回归过程中我们利用的是岭回归的方法。

This paper is to mainly discuss the following problems which are diffieult to be solved in commodity freight volume forecast for a period of time: Variable choice and multiple coorelations; Application of the principles of combining quantitative analysis with qualitative analysis; Selection of the remarkable variables by using Multistep Regression Method; Establishment of reasonable freight volume forecast model.

本文针对总货运量预测中较难解决的问题——变量选择和多重共线性，运用定性和定量相结合原则利用逐步回归方法定量挑选显著性变量，建立理想的货运量预测模型。此外，本文在评介货流研究一般方法基础上，根据多地区货物交流目的，探讨了货流预测的方法，提出用Frator法预测货流。

Based on these and absorption of the foreign company performance results, the thesis combines the theory and the method to analyze the performance of electronic component manufacturing industry enterprises. Based on the analyzing system enterprise performance system in and abroad, the paper raises innovational achievement indexes and evolutional indexes of company performance as to the default of the electronic component manufacturing industry. The paper builds the hierachical clusteing method and bivariate correlations to choose the best evolutional indexes of company performance in order to avoid multicolinearity. The paper proposes the synthetic evaluating method principal component analysis with weighted variable by analytical process. Then, the paper applies the method to analyze the performance of 28 companies of electronic component manufacturing industry.

基于此，在消化吸收国外有关企业绩效评价方面的成果的基础上，针对企业绩效评价的缺陷，本文提出了企业绩效评价的成长性指标和价值性指标；针对改进的AHP与PCA，本文提出了改进的AHP加权主成分分析方法；由于指标之间可能存在着多重共线性，本文运用系统聚类分析与相关分析对企业绩效的成长性指标与价值性指标进行选取；运用改进的AHP加权主成分分析方法与因子分析对电子元器件制造业的28家上市公司进行实证分析，并验证本文提出的综合评价方法的优越性；本文运用灰色模糊评价方法对28家上市公司绩效的非财务指标进行评价；最后，给出相关的结论与建议。

Then based on the analysis of relationship between variances and multi collinear, combined with systematic analysis of literatures and clinical experience, the logisti...

在变量的相关性及多重共线性分析并结合文献的系统分析及临床经验的基础上，应用SAS软件对有显著性意义的危险因素进行回归分析、聚类分析及主成分分析。

Results Collinear variables are excluded according to the above-mentioned result and academic experience.

结果 将去除多重共线性的自变量引入多元回归模型，即可取得比较满意的结果。

This one mode pays close attention to network credence foundation of the businessman very much.

这一模式非常关注商人的网络信用基础。

Cell morphology of bacterial ghost of Pasteurella multocida was observed by scanning electron microscopy and inactivation ratio was estimated by CFU analysi.

扫描电镜观察多杀性巴氏杆菌细菌幽灵和菌落形成单位评价遗传灭活率。