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。
A switching function with integral property and minimum variance algorithm are used to set up the multiple model adaptive controller.
采用了具有积分性质的切换指标函数作为切换法则和最小方差的控制方法构成了多模型自适应控制器。
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。
On the base of the identified model this paper also presents a discrete automatic voltage regulator by minimum variance control principles.
在辩识模型的基础上按最小方差控制原理设计了一离散型自动电压调节器。
WT5BZ]Discusses estimation of minimum value I form composite non-homogeneous Poisson process model, and obtains its structural reliability and minimum variance unbiased estimation.
性质：在系统模型辨识过程中，寻求使实际测量与计算值间的方差达到最小的参数作为参数的估计值的方法。
WT5BZ]Discusses estimation of minimum value I form composite non-homogeneous Poisson process model, and obtains its structural reliability and minimum variance unbiased estimation.
性质：在系统模型辨识过程中，寻求使实际测量与计算值间的方差达到最小的参数作为参数的估计值的方法。
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