Summary
The paper addresses the important role of sensitivity and uncertainty analysis in the mathematical modeling process and discusses guidelines to perform these analyses. The main features are presented of the software package UNCSAM, which applies efficient Monte Carlo sampling in combination with regression and correlation analysis to perform sensitivity and uncertainty analyses on a large variety of simulation models. The use of UNCSAM is illustrated by an environmental application study.
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© 1994 Springer Science+Business Media Dordrecht
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Heuberger, P.S.C., Janssen, P.H.M. (1994). UNCSAM: A Software Tool for Sensitivity and Uncertainty Analysis of Mathematical Models. In: Grasman, J., van Straten, G. (eds) Predictability and Nonlinear Modelling in Natural Sciences and Economics. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0962-8_30
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DOI: https://doi.org/10.1007/978-94-011-0962-8_30
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-4416-5
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