1) weighted regression
带权回归
1.
In order to understand the deformation situation and tendency of the landslides at the reservoir area of Qingjiang Geheyan, by using the safety monitoring data obtained in recent years, several numerical forecasting models are developed by means of model screening, weighted regression, parameter optimization, and spline regression etc.
为了掌握隔河岩库区主要滑坡体变形发展的动态和趋势,将近年来取得的安全监测资料,采用模型筛选、带权回归、参数优化及样条回归等方法,建立了有效的预测模型。
2) weighted spline regression
带权样条回归
3) weighted regression
加权回归
1.
With the kernel weight based on similarly between target gene and sample genes,which localize missing value estimation,a new method based on weighted regression is presented.
利用相似性信息的核加权函数来实现缺失值回归估计的局部化,提出了基于加权回归估计的基因表达缺失值估计算法。
2.
The weighted regression and nonlinear fitting model parameter optimization method are adopted to make regression analysis of observed data of landslide in different length of period.
采用加权回归和非线性拟合模型参数优化方法 ,对不等时距的滑坡监测资料进行回归分析 通过实例计算 ,证明了上述方法的有效性 ,提高了建模精
6) regression weights
回归加权
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