格拉布斯准则

在使用格拉布斯准则剔除交通检测数据中的疏失误差数据基础上，建立了一种基于Bayes参数估计的数据融合算法，运用该方法进行交通量检测，并得到数据的最优估计值。

The outlying observation data are eliminated by Grubbs 's criterion , then a weighted data fusion algorithm based on Bayes parameter estimation is used and the best estimation results of traffic volume detection are obtained .

改进的格拉布斯准则在信号检测门限估值中的应用

Application of Improved Grubbs ' Criterion to Estimation of Signal Detection Threshold

改进的格拉布斯准则在氡浓度计数中的应用

The Application of Improved Grubbs ' Criterion for Inspecting the Count of Radon Concentration

对于粗大误差采用的是格拉布斯准则与狄克逊准则，在给定测量精度范围对超过精度要求的数据进行排除。

The research succeeds in getting rid of the big error in limited precision by Grubbs ' criterion and Dixon ' criterion .

其中在数据筛选步骤中主要运用了格拉布斯和狄克逊准则，在计算成果阶段主要运用了二次平均值法和灰色模糊理论进行数据的整理分析。

One major step in the data selection used the Grubbs and Dixon criteria used in calculating the results of the second stage of mainly the average method and the gray fuzzy theory and analyzed the data .