pastas.solver.least_squares.LeastSquaresBase.get_parameter_sample
=================================================================

.. py:method:: pastas.solver.least_squares.LeastSquaresBase.get_parameter_sample(name: str | None = None, n: int | None = None, max_iter: int = 10) -> pastas.typing.ArrayLike

   
   Obtain a parameter sets for monte carlo analyses.

   :param name: Name of the stressmodel or model component to obtain the parameters for.
   :type name: str, optional
   :param n: Number of random samples drawn from the bivariate normal distribution. If
             None, the number of samples is determined by the number of parameters that
             are varied, using 10^k where k is the number of parameters that are varied.
   :type n: int, optional
   :param max_iter: maximum number of iterations for truncated multivariate sampling, default
                    is 10. Increase this value if number of accepted parameter samples is lower
                    than n.
   :type max_iter: int, optional

   :returns: array with N parameter samples.
   :rtype: array_like

   .. rubric:: Notes

   The parameter samples are drawn from a multivariate normal distribution, and
   thus assume that the a normal distribution applies for the parameter
   uncertainty.















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