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。
Based on the analysing of the data, selected relevant factors, made a series of tests and amendments with models, then created forest volume estimation optimal multivariate linear regression model.
在分析数据的基础上，选择了相关遥感因子和定性因子，并通过一系列模型的检验与修正，建立了公顷蓄积量估测的最优多元线性回归模型。
The Predictive Filter is an estimation method based on nonlinear system model, which determines the optimal model error using a one-step ahead control approach to provide accurate state estimations.
预测滤波器是一种基于非线性系统模型的滤波方法，它通过使输出一步前向预测误差最小来估计模型误差，具有较高的估计精度。
The Predictive Filter is an estimation method based on nonlinear system model, which determines the optimal model error using a one-step ahead control approach to provide accurate state estimations.
预测滤波器是一种基于非线性系统模型的滤波方法，它通过使输出一步前向预测误差最小来估计模型误差，具有较高的估计精度。
应用推荐