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。
Based on linear unbiased minimum variance estimation theory, a fusion algorithm which fused the state vector of nonlinear systems with dissimilar sensors with arbitrary correlated noises is developed.
基于线性无偏最小方差估计理论，提出了一种任意相关噪声异类传感器非线性系统状态矢量融合算法。
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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