Sensitivity analysis should be considered a pre-requisite for
statistical model building in any scientific discipline where
modelling takes place. For a non-expert, choosing the method of
analysis for their model is complex, and depends on a number of
factors. This book guides the non-expert through their problem in
order to enable them to choose and apply the most appropriate
method. It offers a review of the state-of-the-art in sensitivity
analysis, and is suitable for a wide range of practitioners. It is
focussed on the use of SIMLAB - a widely distributed
freely-available sensitivity analysis software package developed by
the authors - for solving problems in sensitivity analysis of
statistical models.
Other key features: Provides an accessible overview of the
current most widely used methods for sensitivity analysis.Opens
with a detailed worked example to explain the motivation behind the
book.Includes a range of examples to help illustrate the concepts
discussed.Focuses on implementation of the methods in the software
SIMLAB - a freely-available sensitivity analysis software package
developed by the authors.Contains a large number of references to
sources for further reading.Authored by the leading authorities on
sensitivity analysis.
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