查询词典 regression estimate

The model is applied to predict the total amount of Chinese population,and the results show that nonparametric regression model is better than linear regression model,at the same time,the situation orthogonal sequence estimate is superior to k-near neighbour estimate for the dynamic relation between the total amount of Chinese population and nation...

并应用此模型对我国1952—2003年的人口总量和GDP总量进行了预测分析。结果表明：非参数回归模型优于线性回归模型，同时正交序列估计效果也优于k-近邻估计。

As to nonparametric and semiparametric regression models, the most widely used regression methods include: local smoothness, including Nadaraya-Watson kernel estimate, Gasser-Muller estimate, local polynomial method; spline method(such as smoothing spline, spline penalies and so on); other is orthogonal series estimates, such as Fourier series and so on.

本文主要介绍Nadaraya-Watson核估计方法对非参数模型估计的思路和估计方法，变系数模型中函数系数的局部多项式估计，包括估计思路，估计计算。

As to nonparametric and semiparametric regression models, the most widely used regression methods include, spline method(such as smoothing spline, penalized spline and so on); local smoothness, such as Nadaraya-Watson kernel estimate, Gasser-Muller estimate, local polynomial method; the third is orthogonal series, including Fourier series and so on.

所以三次光滑样条应用比较广泛。本文应用三次光滑样条方法来估计单指标部分线性模型中单指标参数和变系数部分线性模型中的函数系数。

Robust estimate and biased estimate of regression coefficients are two kinds of regression model fitting methods for non-optimal data.

回归系数的稳健估计和有偏估计是两种根据非典型数据建立线性回归模型的方法。

The second chapter mainly compares the superiority between ridge estimate and James-Stein estimate under the generalized mean squared errors criterion, and gives a improvement method about ridge estimate under growth curve model, and gives a comparison with ridge estimate.

论文第二章，在广义均方误差准则下比较了James -Stein估计和岭估计的优良性，又提出了生长曲线模型中参数岭估计的一种改进方法，并将提出的新估计与已有的岭估计作了比较。

Based on maximum likelihood estimate, the estimate method of sieving rate of connectivity sieve was presented. Three key issues in the estimate were analyzed:calculation of sample size,generation of random sample, and recognition of connectivity of induced subgraph. By preassigned credibility and precision, effective estimate of sieving rate of connectivity sieve is achieved.

目前，产品拆卸过程规划基本上是建立在图的基础上，即首先根据产品拆卸回收或拆卸维修信息，选用一种适合的图模型进行描述，然后在图模型的基础上，以拆卸回收或拆卸维修的经济性、环境协调性和技术性等综合指标最优为目标，进行拆卸过程规划，最终得到产品的最优拆卸序列【1一。1连通性筛子拆卸与或图是拆卸模型中的一种，文献[7]给出了拆卸与或图的定义及建模过程。

Quantile regression models are important statistical models, which are more powerful than least square regression and least absolute deviation regression in statistical analysis, and can supply much more attractive inference results for the datasets.

分位点回归模型是一种重要的统计模型，它比最小二乘回归和LAD回归具有更强的统计分析能力，能给数据集提供更加丰富的统计推断结果。

Five main stalk crops planted in northern China including wheat, corn, broomcorn, soybean, and millet, were chosen to be the samples of the experiments. About seven morphological traits (such as plant height, ear length, ear weight, moisture content and so on) were measured in the crop mature period. The maximum shear force during shearing process, through static test equipment, at the second internode of the basal stalk, was recorded. And shear strength of each crop was calculated to find the differences of shear strength among different crops. The optimal regression models of shear force and morphological traits were obtained by multiple linear regression method with Statistics Analysis System. The equation based on the regression models was constructed.

本文以北方主要茎秆作物（小麦、玉米、高粱、大豆、谷子）为研究对象，试验测定了成熟期茎秆基部第二节间的最大剪切力及株高、穗长、穗重、含水率等七种形态特性指标，获得了静载情况下相关样本的剪切强度；分析比较了不同茎秆作物剪切强度的差异性，并利用SAS软件对茎秆作物剪切力与形态特性指标进行了多元线性回归，得到了剪切强度对形态特性指标的最优回归方程。

The two-parameter negative exponential form could bump regression analysis degree of fitting up Least square curvilinear regression method was considered as the most conformable regression-type analysis.

回归分析的方法使用最小二乘法曲线回归方法。

The main content of the study includes: the policy variables are classified into two types, which are continuous policy variable and discrete policy variable, and the two variable is analyzed respectively; as to the continuous policy variable, use reasonable weighting to synthesize comprehensive policy indicator to reflect the comprehensiveness of each main policy indicator; undertake regression analysis for the comprehensive policy indicator, economic and stock market variable and get the effect of all kinds of comprehensive policy indictor variables on the economy and stock market; undertake regression analysis for data on the economic indicator and the data on the stock market and get the relationship between the economy and the stock market; use event research method to analyze its effect on the stock market and get some corresponding conclusions; structure the differential or difference equation groups on the interactive relationship among the variable economy, stock market and policy and do the difference operation and constitute simultaneous equation with the original main variables one after another; use quantitative regression method and solve the coefficient of the simultaneous equation to predict the operating tendency.

本研究主要内容包括：将政策变量划分为连续性政策变量和离散政策变量两个类型，并分别进行分析；对于连续性政策变量，采取合理的权重来合成政策综合指标，反映各主要政策指标的综合力度大小；将各政策综合指标与经济、股市变量进行回归分析，获得各类政策综合指标变量对经济、股市影响程度的大小；将经济指标数据与股市数据进行回归分析，获得经济与股市之间关系的大小；采取事件研究方法来分析其对股市的影响程度；构建关于经济、股市与政策各主要变量之间互动关系的微分或差分方程组，进行差分运算，并以此与原来各主要变量组成联立方程；运用计量回归方法，求出联立方程系数用于预测。

Summary In copyright infringement cases,if the alleged infringer uses or even plagiarizes the copyrighted works or parts thereof,which causes no substantially adverse effect on the normal exploitation of the work,nor does it inflict any substantial damages to the right owner,the de minis doctrine should be applied to exempt the liabilities of the defendant and seek the balance of interests between the right owner and the general public embodied by the copyright law.

在侵犯著作权案件中，如果被控侵权行为人虽未经著作权人的同意，使用甚至抄袭了受著作权保护的作品或作品的片段，但若情节轻微，未对该作品的正常使用产生任何实质不利的影响，亦未对权利人的权利造成实质性的损害，则应适用&不计琐细原则&，免除行为人的责任，以寻求在权利人利益与著作权法所体现的社会公共利益之间的平衡。

This new product will become our best seller.

这个新产品会成为我们最畅销的产品。