最小二乘配置中粗差的可发现性和可区分性问题

The Detectability and Separability of Outliers in Least Squares Collocation

研究最小二来配置中粗差与随机信号的区分性问题。从观测值残差和信号估值及其统计性质出发，根据高斯马尔可夫模型两个备选假设理论，给出了最小二来配置模型中观测粗差的可区分且可发现的表达式。

in the paper we detail with the separability and detectability of outliers and random signals in least sfluares collocation(LSC).From the obsertvation residuals,the estimates of singnal and their estimated covariance,according to the theory of the two alternatives hypothesis in Guass-Markov model,the expressions of the separability and detectability of observation outliers in LSC are given.