def crb(self, params=None, *args, **kwargs):
        """
        Calculate the diagonal elements of the minimum covariance of the model
        with respect to parameters params. ``*args`` and ``**kwargs`` go to
        ``fisherinformation``.
        """
        fish = self.fisherinformation(params=params, *args, **kwargs)
        return np.sqrt(np.diag(np.linalg.inv(fish))) * self.sigma
def crb(self, params=None, *args, **kwargs):
        """
        Calculate the diagonal elements of the minimum covariance of the model
        with respect to parameters params. ``*args`` and ``**kwargs`` go to
        ``fisherinformation``.
        """
        fish = self.fisherinformation(params=params, *args, **kwargs)
        return np.sqrt(np.diag(np.linalg.inv(fish))) * self.sigma
def crb ( self , params = None , * args , * * kwargs ) : fish = self . fisherinformation ( params = params , * args , * * kwargs ) return np . sqrt ( np . diag ( np . linalg . inv ( fish ) ) ) * self . sigma
Calculate the diagonal elements of the minimum covariance of the model
        with respect to parameters params. ``*args`` and ``**kwargs`` go to
        ``fisherinformation``.
Calculate the diagonal elements of the minimum covariance of the model with respect to parameters params . * args and ** kwargs go to fisherinformation .