The important role of sensitivity and uncertainty analysis in the math
ematical modelling process is indicated, and guidelines are given for
these analyses. The main features are presented of the software packag
e UNCSAM, which applies efficient Monte Carlo sampling in combination
with regression and correlation analysis to perform sensitivity and un
certainty analyses on a large variety of simulation models. The use of
UNCSAM is illustrated by an environmental application study.