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Sensitivity analysis in practice. A guide to assessing scientific models. (English) Zbl 1049.62112
Chichester: John Wiley & Sons (ISBN 0-470-87093-1/hbk; 978-0-470-87095-2/ebook). xi, 219 p. (2004).
This book provides an accessible overview of the most widely used sensitivity analysis methods. It covers a range of methodologies including variance-based methods, Bayesian uncertainty estimation, selected screening methods and Monte Carlo filtering. A range of worked examples is given to illustrate the practical applications of sensitivity analysis methods. In addition, the implementation of the methods using the SIMLAB software is discussed.
This book is primarily intended for researchers and practitioners working with statistical models in mathematics, medicine, environmental science, economics, biology, chemistry and engineering. It is also suitable for graduate students of statistical modelling.

MSC:
62Pxx Applications of statistics
62-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics
62-04 Software, source code, etc. for problems pertaining to statistics
Software:
SimLab
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