线性回归

词组短语

linear regression

与线性回归相关的网络例句 [注：此内容来源于网络，仅供参考]

It uses t-Test and Granger Causality Test to solve the problems of multicollinearity and spurious regression, so the whole model is convictive.

3实证分析部分采用岭回归和Granger因果关系检验的计量方法，有效地克服了时间序列多元线性回归模型中经常出现的多重共线性和伪回归现象，模型整体具有较强的说服力。

Topics covered by this course are:(1) Simple linear regression,(2) Inference based on fitted regression model,(3) prediction based on fitted regression model,(4) Application of simple linear regression,(5) Verification of regression assumption,(6) Multiple regression,(7) Qualitative independent variables,(8) Multicollinearity, and (9) Stepwise regression.

课程内容包含：（1）简单线性回归；（2）回归模式适合性的推论；（3）利用回归模式的预测；（4）线性回归的应用；（5）回归模式假设条件的检定；（6）复回归模式；（7）质量性独立变数的处置；（8）共线性的探测；与（9）逐步回归分析法。

In this paper, we mainly discuss some preliminary studies about statistical diagnostics for one kind of restricted multivariate linear regression model. At first, we give the parameters estimation of this model. After that, the problem of outlier test is considered by giving the equivalence relations of estimators and statistics in multivariate case deletion model and mean shift outlier model under the restricted condition.

本文主要讨论的是一种带线性约束的多元线性回归模型（这里的多元是指多个因变量对多个自变量的情形），重点在与统计诊断方面的一些初步研究，首先给出带有线性约束的多元线性回归模型的参数估计，其次讨论了该模型的异常点检验问题，主要介绍了常见的数据删除模型及均值漂移模型，并证明了此两种模型统计量之间的等价性。

The questionnaire method and the interview menthod were used to gain the tourist data, the quota sampling method was used in sampling survey, the principal component analysis method was used to measure the various variables, the statistical methods such as linear regression analysis, multivariate linear regression analysis, single factor variance analysis and logistic regression analysis were used to analyzes the relationship between various variables.

具体来说，在获取游客数据时采用了问卷调查法和访谈法，在抽样调查时采用了配额抽样方法；对各变量进行测度时使用了主成分分析法；在分析各变量之间相互关系时采用一元线性回归分析、多元线性回归分析、单因素方差分析及Logistic回归分析等统计方法。

For a seemingly unrelated regression system consisting of m equations, we propose a new type of estimator called pre test ridge regression estimator by combining the idea of preliminary test and ridge regression methodology and establish some statistical properties of PTRRE.

对于由 m个相依线性回归方程组成的线性回归系统，本文作者基于岭回归估计和预检验估计，提出了回归参数的一种新型估计，即预检验岭回归估计。并讨论了它的统计性质。

Has only one nonconstant regressor x, it is called a simple linear regression model, or two-variables regression model, or bivariate linear regression model.

等式y = b0 + b1x + u只有一个非常数回归元。我们称之为简单线性回归模型，两变量回归模型或双变量线性回归模型。

By synthetically analysizing the physical and chemical properties of all components and particle size, the content of F2641 in the JOB-iC is determined by gravimetric analysis after F2641 is seperated from HMX,TATB and PNP through ? alkali reflux. Determination conditions is set as follows the sample is boilingly refluxed for six hour in a constant temperature bath after adding lOOm! 8.0 ?? 0.1% NaOH. The solvent DMF saturated by TATB is used for extracting HMX,F21 and PNP from the sample and TATB is seperated by crucible filter G4. The mass precent of TATB is determined by extraction fractionation. The mass percent of PNP is measured by multiwavlength linear regression ultraviolet spectrophotometry. The testing conditions are set as follows:multiwavlength constitution: X=267nxn, 275nm, 283nm, 29mm, 299nm,the application scope of the Lambert-Beer law: the concentration of PNP is O.005?0.O25mgIml, the concentration of HMX is 0.060.3Omg/ml,absorption coefficents of PNP and HMX are solved by the slope of linear regression curve of absorbency- concentration of standard solution of PNP and HMIX for measuring wavelengthes,on the basis of the Lanibert-Beer law and absorbancy additivity principle, the slope of linear regression curve of A/E(1) and E1 of PNP and HMX solution is regarded as the concentration of PNP in the solution.

根据传爆药中各组分的物理、化学性质及主体炸药的粒度大小，进行综合分析，确定了采用碱回流重量法测定JOB-1C 中F_(2641)的含量，测定条件：加入100ml浓度为8.0±0.1％的氢氧化钠，在恒温水浴中煮沸回流6h；采用溶剂萃取法测定JOB-1C中TATB的含量，选择TATB饱和的二甲基甲酰胺为萃取溶剂，用G4坩埚式过虑器进行萃取分离；采用多波长线性回归紫外分光光度法测定JOB-1C中PNP的含量，通过实验确定了多波长组合：λ=267nm，275nm，283nm，291nm，299nm；朗波—比耳定律的适用范围为PNP浓度：0.005～0.025mg/ml，HMX浓度：0.06～0.30mg/ml；在测定波长下，对PNP、HMX标准溶液的吸光度—浓度进行线性回归，由回归曲线的斜率得出PNP、HMX的吸收系数；根据朗波—比耳定律和吸光度加和性原理，在测定波长下，对PNP、HMX 两组分混合溶液A_i/E_HMX(i与E_PNP(i/E_HMX(i进行线性回归，回归曲线的斜率即为混合溶液中PNP的浓度。

In Chapter 2, the Balanced LS Estimation is defined for the linear model when its error covariance is positive definite or singular. The new estimation as well as the necessary and sufficient conditions is gained for its unbiasedness, efficiency and admissibility.

第2章提出了一般线性回归模型和奇异线性回归模型平衡LS估计的概念，得到回归系数β的平衡LS估计，进而探讨了这种估计的无偏性、有效性和可容许性。

Then it studies the operational track and development trend of private investment. At the same time,it also applies the exponential function model that is a non - linea...

同时，引入非线性回归模型之一的指数函数模型，综合应用非线性回归模型的线性化方法和线性回归分析方法，使用了计量经济学软件Eviews3.1和统计学软件SPSS11.5，对民间投资与经济发展的&九大关系&进行实证分析。

Unitary linear regression is done between w~e、 w~ρ、 e~ρ、w_L~w_P. For α_v 、 C_ c between w、ρ、 e、 w_P in eastern China, unitary linear regression is done to silty clay as well as multivariant regression with coefficient iteration method and least-squares procedure are done to all kinds of soil, and the two results are compared. Unitary linear regression and multivariant regression are done to c_q、φ、 c_d、φ_d between e and I_P. Unitary linear regression and multivariant linear regression are done to napierian logarithm of q_u between e 、 I_L、 w_P and w_L, then the equations of regression are checked with other parameters.

对物理指标含水量～孔隙比、含水量～湿密度、孔隙比～湿密度、液限～塑限作了一元线性回归；对华东地区粉质粘土的压缩系数、压缩指数和含水量、湿密度、孔隙比及塑性指数作了一元线性回归；对华东地区所有土类的压缩系数、压缩指数和物理性质参数用系数迭代法和最小二乘法作了多元线性和非线性回归，并对两种方法得到的回归结果作了比较；作了快剪强度指标和固结快剪强度指标关于孔隙比和塑性指数的一元线性回归和多元线性及非线性回归；对无侧限抗压强度的自然对数值和孔隙比、液性指数、液限及塑限作了一元和多元线性回归，并用其它工程的参数对回归方程进行了检验。

与线性回归相关的网络解释 [注：此内容来源于网络，仅供参考]

linear regression：线性回归

例如,线性回归(linear regression)等用于预测未来,线性判别分析(linear discriminate analysis)技术用于数据分类,非线性回归技术等用于估值和抽样,从而提高市场的决策能力和成功几率.

Multiple linear regression：多重线性回归

multiple linear correlation 多重线性相关 | multiple linear regression 多重线性回归 | multiple regression 多重回归

Multiple linear regression：多元线性回归分析

多元线性回归模型:multiple linear regression model | 多元线性回归分析:Multiple Linear Regression | 模糊线性回归预测:Blurring linear regression prediction

simple linear regression：一元线性回归

多元线性回归:multi-element linear regression | 一元线性回归:Simple linear regression | 模糊线性回归:Fuzzy Linear Regression

simple linear regression：简单直线回归,简单线性回归

简单整群抽样simple cluster sampling | 简单直线回归,简单线性回归simple linear regression | 简捷法short-cut method

linear regression equation：线性回归方程

多元线性回归:Multivariable Linear Regression | 线性回归方程:linear regression equation | 多元回归分析:Multiple Linear Regression Analysis

linear regression equation：直线回归方程,线性回归方程

linear regression 直线回归,线性回归 | linear regression equation 直线回归方程,线性回归方程 | location 位置,定位

linear regression estimate：线性回归估计值

linear regression equation 直线回归方程 | linear regression estimate 线性回归估计值 | linear regression method 线性回归法

multiple linear regression estimate：多元线性回归估计

线性回归校正方法:Linear regression correction approach | 多元线性回归估计:multiple linear regression estimate | 局部加权线性回归:locally weighted linear regression

multiple linear regressions：多元线性回归

模糊线性规划法:fuzzy linear programming | 多元线性回归:multiple linear regressions | 多元线性回归:Multiple Linear Regression