Outlier Detection with Tietjen-Moore Test

Non-Causal Step

This step is ued to detect multiple outliers in a univariate data set by applying the Tietjen-Moore Test.

Input Parameters

1. Input data including outliers

Output Parameters

1. Original data with outliers marked

Workflow

Algorithm

Tietjen-Moore Test

References

• G.L. Tietjen and R.H. Moore, Some Grubbs-Type Statistics for the Detection of Outliers, Technometrics, vol. 14(3), pp. 583-597, 1972.