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Testing Data Stationarity with Runs Test
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:doc:`/SingleStepClassifiers/NonCausalStep/index`

This step applies the *Runs Test* algorithm to test whether a time-series is nonstationary in variance.

.. rubric:: Input Parameters

1. Input time-series data

.. rubric:: Output Parameters

1. Input time-series data

2. Test result: stationary or nonstationary

.. rubric:: Workflow

.. image:: workflow.svg


.. rubric:: Algorithm

:doc:`/Algorithms/RunsTest/index`

.. rubric:: References

- I.\  Klevecka and J. Lelis, Pre-Processing of Input Data of Neural Networks: The Case of Forecasting Telecommunication Network Traffic, Telektronikk, vol. 3/4, pp. 168-178, 2008.