因变量

我们希望摆脱x，因为x是一个因变量。

We would like to get rid of x because it is this dependent variable .

我们的微分方程将包含一个自变量x，一个因变量y。

Our differential equation will involve some sort of relation between an independent variable x and dependent variable y.

序次Logistic回归模型中因变量分类数的确定

Determining Number of Categories of Dependent Variables of Ordinal Logistic Regression Model

在论述顾客满意度模型是具有二分类因变量的非线性模型的基础上，提出了一种含潜在变量的Logistic联立方程模型。

This paper presents a logistic simultaneous equations model with latent variables .

在进行Logistic回归分析之前，先对用于测量理论假设的各自变量与因变量之间的关键程度进行分析。

Before the Logistic regression analysis , analysis the critical level between each variable and dependent variables .

首先，以GDP为因变量建立分析模型进行能源消费结构的经济效益分析。

First , it takes GDP as dependent variable to make a model which giving economic analysis on energy consumption structure .

这样x为自变量，z为因变量，这条曲线的斜率就是关于x的导数。

And when I change x , z changes , and the slope of that is going to be the derivative with respect to x.

研究中以骨折与否作为因变量，年龄和BMI作为协变量进行logistic回归分析。

Logistic regressions were performed by treating the fracture status as the dependent variable , age and BMI as covariates .

最近，Qi等人给出了一种四维动力系统，该系统的每一个方程都含有因变量交叉乘积而引起的非线性项。

Recently , Qi et al . have developed a 4D dynamical system , in which each equation contains a 3-term cross product .

在GIS平台上建立自变量、因变量图层组，应用相应的数学模型，来实现综合信息矿产预测。

To complete the synthetic information mineral resources prediction , it needs to establish independent and dependent map level groups on GIS platform and use related mathematic model .

这要求我们来改变，因此当我们写出a时，实际上这意味着b是一个因变量。

B That requires us to change b.So , when we write partial a over partial theta with a constant , it means that , actually , b will be the dependent variable .

利用特征有限元法分别建立了以负压h为因变量的一维匀质土壤水分运动方程和一维分层土壤水分运动方程的特征有限元数值模型，并且分别进行了数值模拟。

For the 1-D water infiltration through homogeneous soils and layered soils , the numerical model is established by characteristic finite element method . And the numerical simulation is performed .

以光谱反射率（反射率倒数，反射率对数，反射率一阶微分等）作为自变量，有机质和游离态氧化铁作为因变量，运用多元线性回归、BP神经网络方法建立数学模型。

Mathematical models were built among spectral reflectance as independent variables and organic matter and ferric oxide as the dependent variable by multivariate linear regression and BP neural network .

以ST压低值为因变量，24h，清醒期、睡眠期的全部HRV频域、时域参数为自变量进行多元相关回归分析。

With ST depression as dependent variables , all HRV parameters as independent variables , multiple regression analysis was carried out .

以人口统计学特征和学校生活满意度为自变量，分别以抑郁、焦虑症状、危害健康行为为因变量，进行Logistic回归分析。

Logistic regression analysis was conducted , with independent variables of demographic characters and school life satisfaction and dependent variables of anxiety and depression symptoms and health-risk behaviors .

因变量为MFA的可行性和有效性指标。

Dependent variables were feasibility and effectiveness of MFA .

以西医症状和体征为自变量，以中医证型为因变量，进行Binarylogistic多元逐步回归分析，提出西医症状和体征的中西医结合的辨证方法。

By means of medical doctor sings and symptoms as dependent variable and chinese medical science type of syndrome as independent variable , the binary logistic stepwise regression was preformed .

以进入模式选择的影响因素为自变量，以不同的进入模式为因变量，采用二元Logistic回归进行实证分析。

In order to enter the influence factors of mode selection for the independent variables and different entry modes for the dependent variable , and using binary Logistic regression empirical analysis .

第四部分是实证分析部分，通过样本数据的选择和变量指标的选取，对自变量和因变量做了描述性统计，构建多元线性回归模型，运用SPSS软件对关键影响因素进行了相关性研究。

The fourth part builds the logistic regression model by the sample data selection and variable index and SPSS software to analysis key factors related research .

第二，本文讨论了单因变量PLS和多因变量PLS的算法，明确了单因变量PLS和多因变量PLS的不同。

Second , the algorithm for univariate PLS and multivariate PLS is discussed , and the differences between univariate and multivariate PLS is clarified .

以MQ为因变量进行多元回归分析，TAS-26因子与受教育年限依次进入回归方程。

The factor of TAS-26 and educational years enter the regression equation for MQ in turn .

当因变量为每股收益时，董事会资本深度对于CEO继任者来源与企业绩效间的关系的调节作用不显著。

When dependent variable is measured by EPS , the moderating effect of board capital depth on the relations between the origin of CEO successor and firm performance is not significant .

选用固相COD的释放率作为因变量，以不同臭氧投加量、臭氧浓度对应的固相COD的释放率数据作为样本，建立并验证了污泥臭氧破解反应模型。

Ozonation reaction model is established and validated . In it ozone dose and ozone concentration are desired to be independent variables , and particulate COD release rate to be variable .

将其应用于长江宜昌-螺山段实际洪水演进计算，并且其计算结果与用神经网络模型和基于Q、Z为因变量的水动力学方法计算的结果进行了比较，取得了满意的结果。

Compared with the results simulated separately by the neural network method and river dynamics method based on the variable of Q and Z. the calculation results of new model are found agreeable .

本文以ρV为因变量将可压缩等熵无粘流非线性方程的解表示成完全边界积分形式，从而将问题的计算维数降低一维。

A pure boundary integral formulation for the nonlinear equation of steady compressible nonviscous flow is given by using p Vas the dependent variable and thus the computational dimension of the problem is reduced by one .

从模型精度上看，得出了对于有序变量作为因变量的Logit模型，采用排序Logit模型更合适。

Judging from the model accuracy , the Ordered Logit model is more appropriate for the ordered dependent variable than the MNL model .

probit回归是与logistic回归十分类似的广义线性模型，用于解决因变量的二分类问题。

Similar to the logistic regression , the probit regression is a kind of generalized linear models , which can be used to solve Binary classification problem .

用LOGISTIC分析方法，将是否购买分时度假产品作为因变量，得到了我国分时度假市场定位的目标人群；

In addition , by adopting LOGISTIC as the analytical tool and making the purchase of a timeshare property as a variable , the author targets the market groups for the timeshare industry in China .

建立的等式中，用民营企业专利申请量表示的民营企业自主创新研发产出是因变量，民营企业科技人员投入、科技经费投入和FDI作为自变量。

In the established equation , patent is dependent variable , it stands for innovation of private enterprise . Science and technology personnel input and capital input of private enterprise and FDI are independent variables .

多元回归分析显示，在心脑血管病变组以CD62P为因变量，ET-1、BMI、C反应蛋白、糖化血红蛋白A1c等指标进入回归方程。

In the group of diabetic patients with macrovascular disease , CD62P were found related to ET-1 , CRP , BMI and HBA1c independently by multivariate regression analysis .