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 output depends upon the input parameters. This is an important method for checking the quality of a given model, as well as a powerful tool for checking the robustness and reliability of its analysis. The topic is acknowledged as essential for good modelling practice, and is an implicit part of any modelling field.

Offers an accessible introduction to sensitivity analysis

Covers all the latest research

Illustrates concepts with numerous examples, applications and case studies

Includes contributions form the leading researchers active in developing strategies for sensitivity analysis

The principles of sensitivity analysis area carefully described, and suitable methods for approaching many types of problems are given. The book introduces the modeller to the entire causal assessment chain, from data to predictions, whilst explaining the impact of source uncertainties and framing assumptions. A 'hitch-hiker's guide' is included to allow the more experienced reader to readily access specific applications.

Modellers from a wide range of disciplines, including biostatistics, economics, environmental impact assessment, chemistry and engineering will benefit greatly form the numerous examples and applications.

What people are saying - Write a review

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

Other editions - View all

Bibliographic information