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 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 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。
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。
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 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。
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。
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。
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。
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。
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。
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。
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。
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。
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%。
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。
Regression analysis are hereby given with Lissajou's figure of spindle rotational error under different test conditions.
在不同条件下获得了若干主轴回转误差曲线的照片，并据此进行了主轴回转误差的评定、分析和比较。
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。
It is the first time that a converting furnace endpoint prediction model based on an improved BP neural network and error compensation of linear regression.
提出了基于改进的BP神经网络学习算法和自适应残差补偿算法的炼铜转炉吹炼终点组合预报模型。
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%。
The general structural error-in-variable regression models is discussed. A consistent estimator of the regression parameter is presented.
讨论一般结构关系度量误差模型的大样本理论，给出了未知参数的一个强相合估计。
Trial-and-error method of the linear regression is introduced to determine the reasonable range of geological parameters. And the nonlinear least square method to calculate OGIP.
采用直线回归的试算法确定气藏合理地质参数的范围，介绍了非线性最优化天然气储量的计算方法。
The new stepwise regression method with minimum of forecast error is proposed in this paper. It is more simple, convenient, and easier used in microcomputer than the traditional stepwise regression.
本文提出用预报残差最小的逐步回归方法作预报，较之传统的逐步回归具有计算简便、适应于小型计算机计算等优点。
The precision of mixed model considering plot random effects, time series error autocorrelation and different plantation density at one time is better than that of ordinary regression analysis method.
同时考虑样地的随机效应、观测数据的时间序列相关性及不同初植密度的混合模型模拟精度比传统的非线性回归方法模拟精度高。
The precision of mixed model considering plot random effects, time series error autocorrelation and different plantation density at one time is better than that of ordinary regression analysis method.
同时考虑样地的随机效应、观测数据的时间序列相关性及不同初植密度的混合模型模拟精度比传统的非线性回归方法模拟精度高。
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