1) fuzzy weighted least squares estimation
模糊加权二乘估计
2) fuzzy least square estimation (FLSE)
模糊最小二乘估计
3) weighted least square state estimation
加权最小二乘状态估计
4) weighted least squares estimation
加权最小二乘估计
1.
The hybrid algorithm combines weighted least squares estimation with Extended-Kalman Filter(EKF).
在采用装备有GPS装置的移动信标-移动机器人、无人机的基础上,将加权最小二乘估计与扩展卡尔曼滤波(EKF)组合,进行未知节点定位。
2.
Using the convex and the memoryless property of exponential distribution,the paper gives the hierarchical Bayesian estimation of the reliability of zero-failure data(t_i,n_i) of exponential distribution,so that the weighted least squares estimation of parameterθis obtained.
本文讨论了指数分布的无失效数据(t_i,n_i),利用指数分布的凸性和其特性一无记忆性,给出了可靠度的多层Bayes估计,进而得到参数θ的加权最小二乘估计。
5) Weighted least squares estimate
加权最小二乘估计
1.
This article suggests a model for weighted least squares estimate for spherical surface measurement with polar radius method.
本文给出了基于极径法球面测量的加权最小二乘估计模型,并依据该模型进行测量采样点布局的优化设计。
2.
This paper introduces the quality of the weighted least squares estimate and the method to choose the common weighted function choose,gives a standard of judging a good least squares estimate,and proposes the iteration algorithm of choosing weighted function.
介绍了加权最小二乘估计的性质及其常见权数选择的方法,并给出评判一个好的二乘估计的标准,由此提出选择权数的迭代算法。
3.
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
给出了线性回归模型中的加权最小二乘估计以及最优权数的选择。
6) weighted least squares estimator
加权最小二乘估计
1.
It also makes use of system s redundant information effectively by weighted least squares estimators.
通过加权最小二乘估计来有效地利用系统的冗余信息。
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