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Outlier Detection with Grubbs' Test
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:doc:`/SingleStepClassifiers/NonCausalStep/index`

This step is used to detect a single outlier in a univariate data set by applying the *Grubbs' Test*.

.. rubric:: Workflow

.. image:: workflow.svg


.. rubric:: Algorithm

:doc:`/Algorithms/GrubbsTest/index`

.. rubric:: References

- F.\  Grubbs, Procedures for Detecting Outlying Observations in Samples, Technometrics, vol. 11(1), pp. 1-21, 1969.