Figure 12: Illustration of regression-based technique for estimation.
图12：基于回归的评估技术。
By using LINGO software, coefficients can be estimated for linear least absolute deviations regression quickly and accurately, making it an effective approach to coefficient estimation.
利用LINGO软件能够快速、准确地估计出最小一乘线性回归的参数，从而使其成为一种有效的参数估计方法。
Simulation results and real measuring data calculations show that the precision estimation efficiency can be obtained by our method for a large class of linear and nonlinear regression models.
仿真和实算结果表明，对于一大类线性和非线性回归模型，该方法给出的回归模型的参数估计效率的估计更接近模型参数估计效率的真值。
A robust parameters estimation algorithm is proposed in this paper, which is based on uniform design for a linear regression model in the case of its coefficient matrix with random disturbance.
针对一个线性回归模型的系统矩阵存在的随机扰动情况，提出一种基于均匀设计的稳健参数估计算法。
A motion based segmentation scheme for image motion estimation is proposed using variable order parameterized models of image motion and robust regression.
借助于图像运动的变阶参数模型和鲁棒回归分析，提出一种基于运动分割的图像运动估计方法。
Linear regression analysis is one technique for estimation a line of best fit.
线形回归分析是一向估算最优拟和线的技术。
Linear regression analysis (the least squares method) is one technique for estimation a line of best fit.
线形回归分析(最小二乘法)是一向估算最优拟和线的技术。
Linear regression analysis (the least squares method) is one technique for estimation a line of best fit.
线形回归分析(最小二乘法)是一向估算最优拟和线的技术。
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