Linear minimum variance estimate and optimally weighted LS estimate are often used in many fields such as signal processing, control and communications.
在信号处理、控制和通讯等技术领域，常常使用线性最小方差估计和最优加权最小二乘估计对参数作出估计。
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 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。
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