回归

基本解释 (translations)

regress  ·  regression  ·  regressed  ·  regresses  ·  regressing  ·  Return

与回归相关的网络例句 [注：此内容来源于网络，仅供参考]

Based on the autoregression equation for the standard variation of the residual errors obtained by ordinary regression analysis, the least square estimates and the maximum likelihood estimates for the regression, the autoregression and the moving average coefficients are derived.

提出一种异方差回归－时序模型，通过建立回归分析残差的标准差自回归方程，给出回归系数、自回归系数和滑动平均系数的最小二乘估计和极大似然估计。

The contents from the third chapter to the fifth chapter are the kernels which are a series of applications of generalized regression model and generalized regression estimator. At first, this paper constructs ratio model, linear regression model, post-stratified regression model and nonparametric regression model through different regressive relationship between auxiliary variable and study variable.

首先是依据辅助变量与研究变量之间回归关系的不同，分别建立比率模型、线性回归模型、事后分层回归模型和非参数回归模型，然后再利用第二章中推导出的广义回归估计理论，对各种回归模型辅助下(来源：A4bBC12论文网www.abclunwen.com)的估计方法进行了系统性研究，从而构成了模型辅助估计方法的整个研究体系。

Especially, by an example for analysis of the authoritical boston housing prices data, we emphasize on applying an new regression model and method -- semiparametric functional coefficient quantile regression and two-step estimation method to show the great explaination of the new

介绍了非参数回归和半参数回归的发展历程及其估计方法，还介绍了分位数回归的相关理论及其研究现况。在半参数、变系数回归和分位数回归的基础上，进一步讨论了非参数和半参数的变系数分位数回归模型和局部多项式线性估计法。

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。

Chapter 2: Expatiate on the basic theory of the GRIN micro-sphere-lens, especially on the classical model—MAXWELL fisheye lens, which demonstrates their excellent optical properties.Chapter 3: Simply introduced the concept of retro-reflection, retro-reflection materials, the fabrication of traditional glass sphere and the possibility of the application of GRIN polymer micro-sphere on retro-reflection.

第三章：介绍了回归反射的概念、回归反射材料的现状；研究了用麦克斯韦鱼眼微球制作回归反射材料的可能，并与传统的均匀折射率玻璃微球回归反射材料的性能作了比较，得出将麦克斯韦鱼眼微球用作回归反射材料不仅可以大幅度降低原先对材料折射率的过高要求，还可明显提高回归反射的效率的结论。

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。

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。

On the basis of the theoretic analysis, this paper regards to the swatch of the listed corporate of our country in Shanghai Stock Exchange from 2002 to 2004, and sets up the model by linear regression and non-linear regression to analysis the listed company performance index sign and the financing structure, and carries through supposing examination, draws the conclusions:(1) The creditor's rights takes on the characteristic of a soft control and infirmness in the Chinese listed company governance, without bringing into play an obligatory function, the liability financing exists the best financing zone.

在理论分析的基础上，本文以2002―2004年度我国沪市上市公司为样本展开实证研究，采用线性回归和非线性回归、一元回归和多元回归等多种方法建立模型，进行上市公司绩效指标与融资结构的回归分析，并进行假设检验，得出如下结论：(1)债权在中国上市公司治理中表现出软约束和弱化的特征，没有发挥出应有的作用，债权融资存在最优融资区间。

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。

The article present the conception of regression testing and the step of executing this testing. Introduce how to maintenance the test case library which used in regression testing ,and provide the method of ensure regression testing's validity. Finally, it gives some problem must be careful in the period of regression

本文描述了软件回归测试的概念和进行回归测试的基本步骤，介绍了可用于回归测试的测试用例库的维护方法，给出了几种可以可保证回归测试效率和有效性的回归测试策略，总结了回归测试时应该注意的一些实际问题。

与回归相关的网络解释 [注：此内容来源于网络，仅供参考]

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

multiple regression：多元回归

回归依自变数的多寡可以分简单回归(simple regression)或多元回归(multiple regression),简单回归指用一个自变数去推估应变数,例如用医院的病床数推算所需护士人数;多元回归指用多个自变数去推估一个应变数,例如护士的人数(应变数)与病床数有关外,

multiple regression equation：多重回归方程

multiple regression analysis 复合回归分析,复回归分析,多重回归分析,重回归分析=>重回帰分析 | multiple regression equation 多重回归方程 | multiple request 多重请求,多重中断请求

partial regression：部份回归,复回归

Partial redundancy 局部复联(置) | Partial regression 部份回归,复回归 | Partial regression coefficient 部份(偏)回归系数

regression analysis：回歸分析 回归分析

摘要:回归分析 回归分析(regression analysis)是确定两种或两种以上变数间相互依赖的定量关系的一种统计分析方法. 运用十分广泛,回归分析按照涉及的自变量的多少,可分为一元回归分析和多元回归分析;按照自变量和因

Simple regression analysis：简单回归分析,一元回归分析

simple regression 单回归,简单回归 | simple regression analysis 简单回归分析,一元回归分析 | simple repeatable robot 简单重复机器人

regression equation：回归方程式

描述的期望值(expected value)可表示为,由回归模型可得反应变数与解释变数间的关系之方程式,为下列的回归方程式(regression equation):由於回归方程式中的回归系数与为未知,必须利用搜集到的样本资料进行两者的估计.

resulting trust：回归信托

在在回归信托(resulting trust)中,回归(resulting)一词中的"sulting"与翻筋斗(somersault)拥有相同的拉丁词根"sault",如果严格地按照字面解释,回归(resulting)的意思是"往回跳",这一解释清楚地说明了回归的含义[4].

Simple regression：单回归,简单回归

simple reflex 简单反射 | simple regression 单回归,简单回归 | simple regression analysis 简单回归分析,一元回归分析

multiple regressing：多重回归

multiple registering ==> 复式记录 | multiple regressing ==> 多重回归 | multiple regression ==> 多重回归,多重回归分析,多次回归,复回归