In this paper we investigated optimal linear unbiased estimation of the linear estimable function in general multivariate random effect linear model.
本文研究了一般的随机效应多元线性模型中线性可估函数的最优线性无偏估计。
The steady-state optimal estimation of singular systems is studied by applying ARMA innovation model.
基于多项式ARMA新息模型方法提出了随机奇异线性离散时间系统的稳态最优估计。
This paper presents a new hybrid algorithm based on both model reduction and linear model estimation for searching optimal number and locations of sensors for building structural health monitoring.
提出了一种基于模型减缩和线性模型估计理论的、用于建筑结构健康监测中传感器布置的新算法。
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