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Outlier Detection with Tietjen-Moore Test
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:doc:`/SingleStepClassifiers/NonCausalStep/index`

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

.. rubric:: Input Parameters

1. Input data including outliers

.. rubric:: Output Parameters

1. Original data with outliers marked

.. rubric:: Workflow

.. image:: workflow.svg


.. rubric:: Algorithm

:doc:`/Algorithms/TietjenMooreTest/index`

.. rubric:: 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.