The linear weighted regression model is one of the models studied in many articles in recent years.
权回归模型是近年来文献中较多涉及的一种。
For the linear weighted regression model, this paper defines a new relative efficiency, gives its lower bound and also discusses its relation to other three efficiencies.
考虑加权回归模型，定义了一种新的相对效率，并给出了相对效率的下界，同时讨论了新的相对效率与其它三种已有相对效率的关系。
Model parameters are computed using a weighted linear regression technology according to the different impacts of rate point to estimation of model parameters.
利用率点对模型参数估计的影响强弱，使用一种加权的线性回归模型参数估计算法。
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。
The regression of spherical model and its nugget structure of theoretic variogram is discussed and the weighted linear programming method is proposed in this paper.
对理论变异函数球状模型及其套合结构拟合这一问题作了探讨，提出了加权线性规划拟合法。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
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。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
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。
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