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.<p>Other key features:<ul><li>Provides an accessible overview of the current most widely used methods for sensitivity analysis.<li>Opens with a detailed worked example to explain the motivation behind the book.<li>Includes a range of examples to help illustrate the concepts discussed.<li>Focuses on implementation of the methods in the software SIMLAB - a freely-available sensitivity analysis software package developed by the authors.<li>Contains a large number of references to sources for further reading.<li><div>Authored by the leading authorities on sensitivity analysis.</div></ul>