这是 格拉布斯去异常值法，用于去除数据组中不相关性低，数值异常的数据，去除可能的粗差，保证数据的准确性和稳定性。可用于数据滤波，以及对数据稳定性要求较高的场合-This is the outlier Grubbs went to law, for the removal of the data set in a low correlation, the data of numerical abnormalities, removal of gross errors possible, to ensure data accuracy and stability. Can be used for data filtering, and data stability requirements of the occasion