Probability & Statistics, Statistics 

Wiley Series in Probability and Statistics 

Sensitivity analysis is used to ascertain how a given model outputdepends upon the input parameters. This is an important method forchecking the quality of a given model, as well as a powerful toolfor checking the robustness and reliability of its analysis. Thetopic is acknowledged as essential for good modelling practice, andis an implicit part of any modelling field.· Offers an accessible introduction to sensitivityanalysis· Covers all the latest research· Illustrates concepts with numerous examples, applicationsand case studies· Includes contributions form the leading researchers activein developing strategies for sensitivity analysisThe principles of sensitivity analysis area carefully described,and suitable methods for approaching many types of problems aregiven. The book introduces the modeller to the entire causalassessment chain, from data to predictions, whilst explaining theimpact of source uncertainties and framing assumptions. A'hitch-hiker's guide' is included to allow the more experiencedreader to readily access specific applications.Modellers from a wide range of disciplines, includingbiostatistics, economics, environmental impact assessment,chemistry and engineering will benefit greatly form the numerousexamples and applications. - from Amzon