linear weighted model的意思|示意

The linear unbiased minimum variance estimate and the optimally weighted least squares estimate are two of the most popular estimation methods for a linear model.

线性无偏最小方差估计与最优加权最小二乘估计是线性模型下两种最常用的估计方法。

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。

We simplify the problems by using the linear weighted method, separate technique of partial control variables, and enumerating in certain range, then give out the solving plan of the model.

通过采用线性加权法、分离部分控制变量法，以及在一定范围内穷举，将问题简化，进而给出模型的求解方法。

The discussion on the property comparison between optimally weighted LS estimate and linear unbiased minimum variance estimate for a linear model is presented.

在给定的线性模型下，讨论了最优加权最小二乘估计与线性无偏最小方差估计性能比较。

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。

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。