Illustration of how a GUM Supplement 2 (GS2) Monte Carlo uncertainty analysis would be implemented in practice for constructing the marginal distribution and copula distribution parameters. In (a) an extract of the actual M = 10000 data points is shown from the GS2 which were determined with a suitable χ² optimization. In (b) the computer code implementation of how to process the GS2 data to fit the marginal distributions in terms of an extended lambda distribution is shown. In (c) the computer code implementation of how to determine the copula parameters using open source easily accessible standard statistical software is shown.