Study of Helmert Variance Component(VC) Estimation in Tunnel Run-through Control Traverse Difference Helmert方差分量(VC)估计在隧道贯通中控制导线平差的研究
With two types of observations, using Helmert variance component estimation, it can improve adjustment precision through multiple iterations. 并对两类观测值,利用赫尔默特方差分量(VC)估计,通过多次迭代计算,提高平差精度。
Variance Component(VC) Estimation of Helmert Type-Based Dynamic Kalman Filtering 基于严密Helmert方差分量(VC)估计的动态Kalman滤波
The score test statistics for variance component testing and outlier are used in this paper. 本论文的方差成分检验问题及异常点的检验问题均采用Score检验统计量。
In this paper, Bayes linear estimates of regression coefficient in a variance component model are studied both under the quadratic loss function and matrix loss function. 本文研究了方差分量(VC)模型中在平方和损失函数和矩阵损失函数下回归系数的线性Bayes估计。