查询词典 standardized regression coefficient

The maj or obj ect of this paper is the medium.small size concrete dams that have been used for many years.They have the characteristic that the alteration of water height of reservoirs is unobvious and the dams, displacements are affected mainly by temperature.With a case,the method of stepwise regression is used to analyze the vertical displacement prototyDe observed data.Then regression equation is established,the relation of dam,s displacement with hydraulic pressure、temperature、time effect is analyzed and the displacement change rule is obtained,the dam'S displacement onlv dependent to temperature is received.According to the theory of Finite Elements Method,the quasi-stationary temperature field formula and temperature stress formula are deduced.The QTP program and TFEM3D program are written with FORTRAN.The same case is calculated through QTP program to solve the quasi-stationary temperature and through TFEM3 D program to solve the dam'S displacement and find tlle dam,s deformation rule.This rule is accordant with the regression,S resuIt.

本文主要针对运行期间库水位变化很小、坝体的位移主要受温度变化影响的中小型混凝土坝，结合工程实例，采用逐步回归的方法对垂直位移原型观测资料进行分析，建立回归方程，分析坝体位移与水压、温度、时效之间的关系以及位移变化规律，分析结果坝体位移只与温度有关，而基本上不受库水位变化和时效的影响；根据有限元原理推求了混凝土坝准稳定温度场公式和温度应力公式，利用FORTRAN语言编制出QTP准稳定温度场程序和TFEM3D位移场程序，对大坝的温度场和位移场进行计算，求出坝体结点的变温值和坝体结点位移值以及单元应力分量，分析得到大坝的变形规律与实测资料以及回归统计变形规律一致，说明对坝体准稳定温度场的研究是正确的。

When we analyze the behavior of binary choice, the appropriated econometric methodologies include logistic regression, probit regression and discriminate analysis, and logistic regression is most frequently used.

探讨住宅成交与否二元类别选择之统计方法，一般包括罗吉斯回归(1ogistic regression)、普罗比回归与区别分析，其中以罗吉斯迥归最常被使用。

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。

In chapter 1, regression models with censored data, LSE for censored regression models and LAD estimation for models with fixed censoring point are introduced. Then, we state our main results for LAD estimator of nonlinear regression models with randomly censored data, including consistency, boundedness in probability and asymptotic normality. The proofs of our main theorems are given in detail. In chapter 2, we state the main difficulty of obtaining numerical solution for censored LAD estimation, and recall the history of studies on this problem including some anterior algorithms.

在第一章，首先介绍删失线性回归模型的基本概念和性质，并对已有的估计方法，如最小二乘估计、固定点删失的最小一乘估计等做了简单的回顾；然后，把固定点删失线性回归模型的最小一乘估计方法推广到了随机删失、非线性模型的情形，并得到了估计量的一些渐近性质，如相合性、渐近正态性等；最后，给出主要结果的详细证明过程。

Based on the characteristics that the generalized regression neural network converges to the underlying regression surface and can be used for any regression problem, this dissertation exploits GRNN to investigate large-scale IP traffic matrix estimation problem.

2基于广义回归神经网络(Generalized Regression NeuralNetwork，GRNN)收敛于基本的回归面和能用于处理任何回归问题的特性，本文利用GRNN来研究大尺度IP流量矩阵估计问题。

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。

The extrapolated calculation of the regression function of SVM was used to establish prediction model.The regression function that got from the nonlinear regression method of SVM can fit estimated value to historical data very well.The model can effectively avoid the influence of oil change and sample interval disaccord.This new model can be applied...

支持向量机的非线性回归方法得到的回归函数对光谱历史数据有良好的逼近效果，通过SVM回归函数的外推计算建立的SVM回归预测模型能有效消除换油和采样间隔不一致对模型预测效果的影响，具有更广泛的应用范围。

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。

Results The factors into the multiple regression model of physical fatigue include character and emotion.The factors into the multiple regression model of mental fatigue include obsession.The factors into the multiple regression model of total fatigue include character and emotion.

结果 进入躯体疲劳多元逐步回归模型的因素有性格和情绪，进入脑力疲劳多元逐步回归模型的因素有强迫症，进入疲劳总分多元逐步回归模型的因素有情绪和性格。

It has to be computed by the host for the actual clock rate.

主控制器可以用来计算实际的时钟速率。

Let's see what you got.

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