pastas.noisemodels.ArNoiseModel.weights
=======================================

.. py:method:: pastas.noisemodels.ArNoiseModel.weights(res: pandas.Series, p: pastas.typing.ArrayLike) -> pandas.Series

   
   Method to calculate the weights for the noise.

   :param res: Pandas Series with the residuals to compute the weights for. The Series
               index must be a DatetimeIndex.
   :type res: pandas.Series
   :param p: NumPy array with the parameters used in the noise model.
   :type p: array_like

   :returns: **w** -- Series of the weights.
   :rtype: pandas.Series

   .. rubric:: Notes

   Weights are

   .. math::

       w = 1 / sqrt((1 - exp(-2 \Delta t / \alpha)))

   which are then normalized so that sum(w) = len(res).















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