pastas.stressmodels.WellModel.variance_gain#

WellModel.variance_gain(model, istress=None, r=None)[source]#

Calculate variance of the gain for WellModel.

Variance of the gain is calculated based on propagation of uncertainty using optimal parameter values and the estimated variances of A and b and the covariance between A and b.

Parameters:

model (pastas.Model) – optimized model
istress (int or list of int, optional) – index of stress(es) for which to calculate variance of gain
r (array_like, optional) – radial distance(s) at which to calculate variance of the gain, only considered if istress is None

Returns:

var_gain – variance of the gain calculated from model results for parameters A and b.

Return type:

float