Sensitivity Analysis: Gauging the Worth of Scientific Models

Front Cover
Andrea Saltelli, K. Chan, E. M. Scott
Wiley, Oct 3, 2000 - Mathematics - 504 pages
0 Reviews
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.

ˇ Offers an accessible introduction to sensitivityanalysis

ˇ Covers all the latest research

ˇ Illustrates concepts with numerous examples, applicationsand case studies

ˇ Includes contributions form the leading researchers activein developing strategies for sensitivity analysis

The 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.

What people are saying - Write a review

We haven't found any reviews in the usual places.

Other editions - View all

About the author (2000)

Andrea Saltelli, Joint Research Centre of the European Commission, Ispra, Unit of Applied Statistics and Econometrics. Presently leading the Econometric and Applied Statistics Unit of the Joint Research Centre, lead author Professor Saltelli has published many articles in numerous journals over the last 30 years. He is also the main author and main editor of two previous books (both for Wiley).

Bibliographic information