This book is a practical guide to the uncertainty analysis of computer model applications. Used
in many areas such as engineering ecology and economics computer models are subject to
various uncertainties at the level of model formulations parameter values and input data.
Naturally it would be advantageous to know the combined effect of these uncertainties on the
model results as well as whether the state of knowledge should be improved in order to reduce
the uncertainty of the results most effectively. The book supports decision-makers model
developers and users in their argumentation for an uncertainty analysis and assists them in the
interpretation of the analysis results.
