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。
It proposes an adaptive process scheduling approach based on linear regression.
提出一种基于线性回归的自适应调度方法。
A reconstructing method for random weighting approximations is proposed in approach to the distributions of the parameter estimates in general linear regression model.
对一般线性回归模型中有关参数估计分布的模拟问题，给出一种随机加权逼近的再构造方法。
It proposes an adaptive process scheduling approach based on the curvilinear regression that can be transformed to a linear regression.
提出一种基于可化为线性回归的自适应调度方法。
For non-linear problem, the forecasting technique of pre-classification and later regression was proposed, based on the classification approach of Support Vector Machine (SVM).
针对非线性问题，提出了基于支持向量机分类基础的先分类、再回归的预测方法。
For non-linear problem, the forecasting technique of pre-classification and later regression was proposed, based on the classification approach of Support Vector Machine (SVM).
针对非线性问题，提出了基于支持向量机分类基础的先分类、再回归的预测方法。
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