It concluded that the regression error is very little, and it satisfies the demand of the common engineering analysis.
从结论中可以看出其回归误差很小，满足一般工程的使用要求。
The next step in the simple linear regression procedure is to determine if the remaining squared error of prediction is acceptable or not.
这个简单线性回归过程中的下一步是确定其余的预测方差是否可以接受。
When a solid regression suite is present for testing the application, incorporating a runtime error detection tool such as Purify in it is a smart thing to do.
在测试应用程序时存在稳定的回归测试时，引入类似Purify的运行时错误检查工具就是比较明智的事情。
However, two-stage estimates of regression coefficients corresponding to these two estimates have approximate equal mean square error.
对应于方差参数这两种估计的回归系数的两种两步估计，它们的均方误差大致相当。
Robust regression analysis and minimax residual error analysis are two aspects in data processing of dynamic measurement.
在动态测试数据处理中，常常要进行稳健回归分析和最小最大值回归分析。
Error rate (er) was used to assess the work of interviewers and coders. The outcomes were evaluated by means of linear regression.
以差错率为指标，对调查员和编码员每月的工作进行考核，并采用线性回归评价总体质量变化趋势。
Due to the error of data and calculation, there are certain errors to the results in regression computation.
回归计算中，由于资料和计算上的误差，使结果也产生一定的误差。
The model consists of a finite number of regression classes, for each of them the model error may normal or arbitrary under certain conditions.
该模型由有限个回归类构成，每个类的模型误差可以是正态的，也可以是满足一定条件的任意分布。
In this paper, a new process of estimating autocorrelation parameter is given when remedying autocorrelation of error term in regression model.
在消除回归模型误差项的自相关现象的处理中，提出了一种确定自相关参数估计值的新方法。
The RBF network function approximation theory and method are introduced, and the method of nonlinear error correction of sensor is presented based on generalized regression neural network(GRNN).
介绍了径向基函数网络的函数逼近原理和方法，提出了一种基于广义回归神经网络（GRNN）的传感器非线性误差校正方法。
The prediction formula and its error estimation are also established. Its regression and time-varying autoregression model is presented.
在此基础上建立时变序列预测公式及误差估计公式，给出其回归与时变自回归模型。
On the data including the discrete points, least square estimation can not control the strong error affecting the regression curve.
在含有离群值的情况下，分析了最小二乘估计不能克服粗大误差对回归曲线的影响。
The standard error of estimate, on the other hand, measures the variability, or scatter, of the observed values around the regression line.
而估计值的平均误差，却是度量观察值围绕着回归直线的变化程度或分散程度。
Regression is concerned with modelling the relationship between variables that is iteratively refined using a measure of error in the predictions made by the model.
回归是这样一种建模方式，它先确定一个衡量模型预测误差的量，然后通过这个量来反复优化变量之间的关系。
Based on the fact that total error is needed by the system, this thesis emphasizes particularly on analyzing the static regression line error model and its engineering feasibility.
侧重分析静态回归直线误差模型及工程应用的可行性，通过例证比较说明统计估算法的优势。
An error correction method for three axial fluxgate sensor based on support vector regression (SVR) is proposed.
提出了一种基于支持向量回归机(SVR)的三轴磁通门传感器误差修正方法。
The influencing factors for errors in regression equation are discussed and the relations between mean square error of regression equation and its influence factors are deduced.
对回归方程误差的影响因素进行了分析，导出了回归方程的均方误差与其影响因素之间的关系式。
The error of regression equation should be analyzed when using regression analysis method.
回归分析时，应对回归方程的误差进行分析。
The regression coefficient between corneal power and the refractive error increased from apex to peripheral area.
角膜中央到周边曲率与等效球镜度的回归系数逐渐增加。
The residual error amendment model is derived from fuzzy linear regression model, it can find the most suitable linear function to make the line difference sum in ideal linear regression minimum.
该模型是在模糊线性回归模型的基础上推导出来的，它可以寻找最合适的线性函数使理想线性回归中的线差和达到最小。
The investigation object of this paper is the standard canonical form. In order to the mean square error, I analyze the existence and choiceness of ridge regression K in some spectrum.
本文以多元线性回归模型的典则形式为研究对象，从减小均方误差的角度出发，在一定的范围内分析了岭参数K 的存在性和岭估计的优良性。
Simulation results showed that the ANN model gave better predictions than the regressive model. The average relative error of ANN was 14.9% and that of linear regression was 25.8%.
模拟的结果显示ANN模型比线性回归模型有更好的预测能力，预测的平均相对误差：ANN模型为14.9%，线性回归模型为25.8%。
We combine unitary nonlinear regression with multivariate linear regression, it can reduce the error sum of squares of the model and improve the precision of forecast.
即把一元非线性回归和多元线性回归结合起来，构造一个混合回归模型，这样就减小了模型的残差平方和，从而提高预报的准确性。
Several linear regression equations of the specific heat at constant volume for ideal gas based on MATLAB were proposed and proved by mathematical statistics, with maximum relative error less than 5%.
利用MATLAB的数值回归分析功能，得到了几种常见理想气体定容比热容与温度的线性回归公式，数理统计分析的结果证明了这些回归公式的合理性，回归公式的最大相对误差低于5%。
A new unitary linearity regression algorithm constringed by specified error is proposed in the paper.
提出了一种改进的一元线性回归算法。
In the second chapter, I propose semi-parametric estimate to get median regression models with the measured error margin and use it to estimate the mediant of survival data.
因此在第二章，本人用半参数方法提出了协变量测量有误差时的中值回归模型，用它来估计寿命变量的中值。
Generally, comparing with actual data of load the middle-term load forecasted by regression analysis method often contains notable error.
一般对于电力系统中期负荷预测采用回归分析模型，但其预测结果往往有很大误差。
Linear regression equation is analyzed by using indirect error-smoothing, and nonlinear regression equation is optimally selected by using the method of comparison of mid-point of curve.
用间接观测平差法分析线性回归方程，用曲线中点比较法选择最优非线性回归方程。
In first the linear regression model resulted from least square method is presented and its disadvantage is analyse, great forecasting error exists when extreme abnormal case exists.
本文先介绍了用最小二乘法进行线性回归预测的方法，并分析了其不足，即当存在着极端的异常情况时，往往存在着较大的预测误差。
In first the linear regression model resulted from least square method is presented and its disadvantage is analyse, great forecasting error exists when extreme abnormal case exists.
本文先介绍了用最小二乘法进行线性回归预测的方法，并分析了其不足，即当存在着极端的异常情况时，往往存在着较大的预测误差。
应用推荐