回归的

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。

Taking this as the point of departure, the dissertation treats respectively the various stages where Hamlet finds himself in this progress he has to undertake in seeking and finally retrieving his authentic self: first, the concealment of his authentic self in the state of inauthenticity; second, the

以此为论述的基点，本论文分别论述了哈姆雷特在追寻自己的本己本真性以及向这一本己本真性回归的过程中所经历的各个阶段：首先是哈姆雷特本己本真性在非本真状态中的遮蔽；第二是畏这种现身情态对他的本己本真性的唤醒；第三是哈姆雷特在他所追寻的真理中找到了自己的本己本真性；第四是在正确的倾听并真正领会良知的召唤之后准备回归本己本真性的决断；第五是通过自己的死亡真正实现了向本己本真性的回归。本论文在详细探讨这五个阶段的过程中向我们展示：哈姆雷特深刻地感受

Step wise regression was used and equation of multiple linear regression was established.

采用逐步回归的方法，建立多元线性回归方程。

Introduced stepwise regression method, and how to use stepwise regression to establish the best linear regression equation.

详细说明：主要介绍逐步回归的方法，并介绍如何利用逐步回归建立最佳线性回归方程。

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。

Sample data were selected by standard deviation law and factor variables were selected by the method of principal components analysis, stepwise and enter regression analysis. The forecast precision of the model is 87.35%.

样本数据筛选采用标准差法，因子变量筛选采用主成分因子分析法、多元线性回归的逐步回归和强行进入法等方法，建立的多元回归模型预测总体精度达到87.35%。

Stment to developed country and the Chinese direct investment to developing country. On this basis, we get four regression models. Considering there are more variables in the equations, It will product multicollinearity, so we utilized a new method which is ridge regression.

在这个基础上，我们提出了四个回归模型，由于考虑到方程中的变量较多，产生了多重共线性的现象，在回归过程中我们利用的是岭回归的方法。

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。

At last, the research test the logistic regression model with sample dada. The results are as the following:(1)Based on the time series dada, the financial early-warning model contains more crucial information reflecting the dada characters, so it can avoid the obvious logic problem in the other analysis such as single section dada and multi-section dada analysis. The test result indicate that the new model have a more accuracy than others.(2) the research adopt the global principal component analysis to settle the problem of multiple collinearity, so the model would be more normative and precise.(3)the early-warning model uses the backward method to regress, so it gets a terser model of only five variables, but it still has a precise forecasting ability.

通过本文研究说明：（1）建立以时序数据为基础的财务危机预警模型，提高了样本中重要财务趋势特征的信息含量，从而克服了国内外单截面及多重截面分析中普遍存在的明显逻辑问题，检验结果表明，利用时序数据建立的logistic财务危机判别模型较截面数据基础模型的判别准确率要高；（2）采用全局主成份分析方法解决了模型中因子间的多重共线性问题，这一处理使logistic回归方法应用的规范度和严谨度得到明显改善；（3）我们采用向后逐步回归的办法进行回归，使模型大大得到了简化，其中只包含五个自变量，但是它的整体预测准确性却仍然比较高，使模型更具有实用性。

A mathematic model,which deals with the relationship between maximum temperature of thick plate butt multipass welding and weld heat input,interpass temperature,ambient temperature and the distance of measuring points to heat source center,was founded using multivariant nonlinear regression analysis.

采用多元非线性回归的方法，建立了厚板对接多道焊的最高温度与焊接线能量、层间温度、环境温度以及测点到热源中心的距离之间的数学模型。通过相关性检验、线性回归的显著性检验以及回归系数的显著性检验，证明了模型可行；同时分析了回归系数与测点到焊缝中心距离之间的关系。结果表明，它们之间的关系是一种非线性关系，而且呈现出了一定的变化趋势

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。