多重线性的

the combination of principal component analysis and factor analysis can cotribute successfully to the discovery and handling of collinearity.

在大型多元回归分析中用上述方法进行多重共线性的诊断和处理是可行的。

Objective It is very difficult to discover and handle the collinearity in multiple regression.We try to find a way to deal with it in the case-control study of risk factors in lung cancer.

目的 结合肺癌危险因素研究中变量的筛选过程，探讨在涉及较多自变量的大型多元回归分析中，变量间多重共线性的诊断和处理方法。

A complete novel assumption is presented. Then, we prove the existence of two nontrivial solutions for a class of second order superlinear difference systems with the help of Minimax principle and Linking theorem in critical point theory,.6. Two applications in physics are given. Firstly, a coupled differential system coming from second harmonic waves is discussed.

利用Ricceri建立的三临界点定理，证明了一类含参数二阶差分方程在某些新的条件下至少存在三个解；随后，利用临界点理论中的极小极大原理和环绕定理，讨论了一类二阶超线性差分方程组多重解的存在性。

One hand, in the application of multilinear regression , the harm of multicollinearity is very serious, but the existence of multicollinearity is widespread.

一方面，在多元线性回归的应用中，变量之间多重相关性的危害十分严重，但其存在却又十分普遍。

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。

Some important applications of structure matrix in the tensor product multilinear mapping are given. Compared with the method of matrix algebra knowledge, the proposed method enjoys obvious advantages.

给出了结构矩阵在解决张量积多重线性映射问题时的一些重要应用，经过与用矩阵代数知识解决此问题相比较对照，更显示出用结构矩阵解决问题的优越性。

A piecewise linearization data fitting method based on least square principle is used to set the relation function between measuring value and real value,which is then applied to calibrate the channel error in a new multi-calibration method,namely,amplitude calibration,phase calibration and amplitude-phase relation calibration method.

分析了电力线路工频参数测量装置中相差测量对阻抗测量精度的影响，在此基础上提出将基于最小二乘原理的分段线性数据拟合方法应用到装置通道的校准中，实现包括通道幅值、相差及幅值-相差关系的多重校准的新方法。

The model was developed using the single factor analytic approach and correlation coefficient analytic approach considering phosphate removal as dependent variable and plasma phosphate concentrations,dialysis time,ultrafiltrate volumes,blood flows as predictor variables.

先用相关系数矩阵和单因素分析法进行数据的初步分析，然后用多重线性回归分析的方法推出总磷清除量与透前血磷浓度、超滤量、血流速、时间的公式。

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。

The aim of this study was to examine whether multiple regression analysis technique could be used to measure fecal endogenous outputs and true digestibility of phosphorus in rapeseed meal and soybean meal for growing pigs. 5 Yorkshire × Landrace harrows, with average initial body weight of (21.6±1.43)kg, were allocated to the five experimental diets according to a 5×5 Latin square design. The 5 experimental diets were formulated to contain 5 P level (1.8, 2.7, 3.6, 4.5 and 4.7g/kg), with the rape- seed meal and soybean meal as the mere P source.

为了确定多重线性回归法是否能应用于测定生长猪内源磷排泄量及菜粕和豆粕磷的真消化率，试验选用5头平均质量为(21.6±1.43)kg的健康大白×长白阉公猪为试验动物，采用5×5拉丁方设计，设5个磷水平（1.8， 2.7， 3.6， 4.5和4.79/kg）；日粮以豆粕、葡萄糖、玉米淀粉等为基础，以菜粕为待测植物性饲料，配制半纯合试验日粮，菜粕和豆粕为磷惟一来源。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。