  Virtual experiments (VEs), a modern tool in metrology, can be used to help
perform an uncertainty evaluation for the measurand. Current guidelines in
metrology do not cover the many possibilities to incorporate VEs into an
uncertainty evaluation, and it is often difficult to assess if the intended use
of a VE complies with said guidelines. In recent work, it was shown that a VE
can be used in conjunction with real measurement data and a Monte Carlo
procedure to produce equal results to a supplement of the Guide to the
Expression of Uncertainty in Measurement. However, this was shown only for
linear measurement models. In this work, we extend this Monte Carlo approach to
a common class of non-linear measurement models and more complex VEs, providing
a reference approach for suitable uncertainty evaluations involving VEs.
Numerical examples are given to show that the theoretical derivations hold in a
practical scenario.
