查询词典 regression hyperplane

The effect of main screw parameters (length/ diameter ratio, helix angle, channel depth and compression ratio)of cold feed rubber extruder on extrusion temperature were investigated by orthogonal regression method on the basis of the statistical analysis of experimental results.

研究了螺杆造型（长径比，螺旋升角，螺槽深度，螺杆几何压缩比），挤出工艺和胶料种类对橡胶冷喂料挤出机挤出温度的影响，并对各实验因素及实验结果做了统计分析，得出了他们之间的定量数学模型。

Methods We evaluated fasting blood glucose、 fasting insulin、 insulin-sensitivity index and lipoproteins in 23 patients with cerebral thrombosis and compared them with 21 collator using step-wise Logistic regression analysis.

对23例脑血栓形成患者和21例对照者的空腹血糖、空腹胰岛素、胰岛素敏感指数、血脂等进行比较，并对其与脑血栓形成的关系进行多因素Logistic逐步回归分析。

To discuss and handle the problem of multi-variables collinearity in Cox regression model.

进一步探讨Cox模型中出现多因子共线性时的处理方法。

Lasso regression is one of the popular methods of dealing with Collinearity.

Lasso回归是目前处理多重共线性的主要方法之一，相对于其他方法，更容易产生稀疏解，在参数估计的同时实现变量选择，因而可以用来解决检验中的多重共线性问题，以提高检验的效率。

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。

In many methods, PLS is a useful method for dealing with the collinearities.This paper discusses and researches the method of PLS, and mainly does following several aspects.First, the harm of the collinearity in the regression model is discussed, and several methods of dealing the collinearity are introduced.

本文对偏最小二乘法进行了探讨和研究，主要做了以下几方面的工作：第一，本文提出了多重共线性问题，讨论了共线性在回归建模中引起的危害，并介绍了处理多重共线性的几种常用方法。

The purpose is to examine whether the non-significant effect of educational indices on economic indices is due to collinearity among independent variables in the regression equation.

主要是要检定教育扩充对经济成长之所以没达显著是否是由於自变项间之多共线性所使然。

The book covers such topics as the problem of collinearity in multiple regression, dealing with outlying and influential data, non-normality of errors, non-constant error variance and the problems and opportunities presented by discrete data.

本书内容涵盖了在多重共线性回归问题等议题，与外围和有影响的数据，非错误，非正常常数误差方差的问题和离散数据处理带来的机遇。

By disposal of partial least-squares regression, the collinearity of roadway surrounding rock displacement influence factors is removed and the principal components having optimum explanation to dependent variables are extracted. It makes node numbers of neural network input layer cut down to three from seven, and has effect of simplifying structure and strengthen stability of neural network.

通过偏最小二乘回归对巷道围岩的位移影响因子的处理，消除了影响因子的线性相关性，并提取了对因变量解释性最强的成分，使BP网络的输入层节点数目由原来的7个减少到3个，起到了简化网络结构，增强网络稳定性的作用。

By the theories of cavitations and free volume, it analyses the factors on lubricant low-temperature property in view of molecule structure, brings up effective ways to improve the low-temperature properties, conducts plenty of testing with even designs, and then investigates and tests the lubricants low-temperature properties with computerized system; it analyses the data by regression method and optimizes the solving, and studies on the base oil of environment friendly lubricants and selects the composition of colza oil, esters and PAO2, and discusses on low-temperature flowability of vegetable-base lubricants.

应用空穴理论及自由体积理论，从分子结构角度分析了影响润滑油低温性能的因素，提出了改善对润滑油低温性能的有效途径，组织了大量试验，通过润滑油的计算机检测系统对润滑油的低温性能进行了分析检测，采用均匀设计来组织实验；用逐步回归对数据进行分析并且进行最优化求解，对环境兼容润滑油的基础油进行了分析研究，选择菜籽油、季戊四醇酯和聚α-烯烃作为基础油，并从理论上对植物基润滑油的低温流动性进行了探讨。

It was just a normal day of school

那只是上学的普通一天

Which is a very good reference in this issue.

这是一个在这个问题上很好的参考。