NUMERICAL UNCERTAINTY EVALUATION FOR COMPLEX-VALUED QUANTITIES: A CASE EXAMPLE

The forthcoming Supplement 1 to the GUM: Numerical methods for the propagation of distributions proposes the use of Monte Carlo simulation for uncertainty evaluation. Here we apply a modified implementation of the proposed Monte Carlo Simulation to construct intervals of confidence for a complex-valued measurand. In particular, we analyze the so-called three-voltage method for impedance calibration, which relates complex-valued impedances to voltage moduli measurements. We compare and discuss the results obtained with those given by application of Bootstrap Resampling on the same model.