pastas.check.uncertainty_parameters
===================================

.. py:function:: pastas.check.uncertainty_parameters(ml: pastas.model.Model, parameters: list[str] | str | None = None, n_std: float = 1.96)

   
   Check if parameter value is larger than n_std times the standard deviation.

   Note that it is the modelers responsibility to check if the estimated uncertainty
   is reliable!

   :param ml: Pastas model instance.
   :type ml: pastas.Model
   :param parameters: List of parameter names to check the uncertainty for. Default is None, which
                      means all parameters are checked. If str, partial matches are allowed.
   :type parameters: list or str, optional
   :param n_std: Number of standard deviations to compare the parameter to. Default is 1.96.
   :type n_std: float, optional















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