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Add wikipedia link
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doc/source/user_guide/computation.rst

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@@ -233,8 +233,9 @@ see the :ref:`groupby docs <groupby.transform.window_resample>`.
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When using ``rolling()`` and an associated function the results are calculated with rolling sums. As a consequence
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when having values differing with magnitude :math:`1/np.finfo(np.double).eps` this results in truncation. It must be
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noted, that large values may have an impact on windows, which do not include these values. Kahan summation is used
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to compute the rolling sums to preserve accuracy as much as possible.The same holds true for ``Rolling.var()`` for
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noted, that large values may have an impact on windows, which do not include these values. `Kahan summation
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<https://en.wikipedia.org/wiki/Kahan_summation_algorithm>`__ is used
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to compute the rolling sums to preserve accuracy as much as possible. The same holds true for ``Rolling.var()`` for
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values differing with magnitude :math:`(1/np.finfo(np.double).eps)^{0.5}`.
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We work with ``rolling``, ``expanding`` and ``exponentially weighted`` data through the corresponding

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