1) weighted total least absolute deviations
多元加权全最小一乘法
1.
Optimal solution on weighted total least absolute deviations
关于多元加权全最小一乘法的最优解
2) Weighted least square method
加权最小二乘法
1.
It fuses the weighted least square method in the process of expanding the local map systems to improve location precision.
针对该问题,提出一种改进的基于无线传感器网络坐标系统拓展定位算法,在拓展局部坐标过程中融合加权最小二乘法来抑制累积误差,从而提高节点定位精度。
2.
By constructing the conditional mean of the interval censored covariate,the estimators of parameters are obtained by the weighted least square method.
研究了当协变量为区间数据时的变系数一维线性结构关系模型,通过构造区间数据变量的条件均值,它与区间数据变量具有相同的均值,然后利用加权最小二乘法得到了变系数一维线性结构关系模型中的参数估计,当协变量的分布已知时,证明了估计的弱相合性和强相合性。
3.
This paper uses iterative weighted least square method based on MATLAB soft for makingrobust estimation by the example of the Runyang Bridge engineering.
经典的LS估计法(least squares estimation,LS estimation)是对每个观测数据都给予相同的权重,由此带来了对于异常值的处理不当,从而影响了回归模型的有效性,本文采用迭代加权最小二乘法来进行稳健估计(RobustEstimation),并基于MATLAB软件结合润扬大桥工程实例说明了此法的有效性。
3) weighted least square
加权最小二乘法
1.
Parameter estimation with equality constraints based on weighted least square;
带等式约束的加权最小二乘法参数估计
2.
Methods Marginal proportion functions were calculated by using weighted least square (WLS) method through SAS system.
方法采用加权最小二乘法建立边际函数模型,给出治疗中风临床试验实例,调用SAS统计软件包中CATMOD过程对重复测量分类数据资料进行统计分析。
3.
The initial data is preprocessed at first,then the universal M-estimation is transferred to WLS(weighted least square) and the weight coefficients are related with the errors.
该方法首先对生数据进行预处理,然后基于抗差原理,利用权因子把一般性的M估计转换为加权最小二乘法,并将权系数和余差联系起来,有效地解决了常规加权最小二乘法中,由于常数权系数所导致的,对粗差处理能力不足的问题。
4) weighted least squares method
加权最小二乘法
1.
The antecedent parameters of Takagi-Sugeno fuzzy model are off-line identified by fuzzy C-means algorithm,its consequent part is determined by weighted least squares method.
模型的前件参数由模糊C均值聚类算法确定,后件参数由加权最小二乘法离线辨识,并用现场实测数据对模型后件参数进行在线调整。
2.
And the weighted least squares method is presented for gaining more accurate results of correlation dimensions.
在数据后处理方面,本文提出了加权最小二乘法,使维数计算更精确,更适合实际。
5) WLS
加权最小二乘法
1.
In this paper,the effects of OLS method and WLS method in analysis of one-way nested design with unequal subclass numbers are examined.
对普通最小二乘法和加权最小二乘法在不等重复单因素系统分组试验中的分析效果进行了比较研究。
6) Least Weighted Square
最小加权二乘法
补充资料：多元
1.多种多样。
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