===================================
Outlier Detection with Trimmed Mean
===================================
:doc:`/SingleStepClassifiers/NonCausalStep/index`

This step applies the *Trimmed Mean* algorithm to identify outliers in the data.

.. 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/TrimmedMean/index`

.. rubric:: References

- S.\  Walfish, A review of statistical outlier methods. Pharmaceutical Technology, 2006. Retrieved from www.pharmtech.com.