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Sensitivity Analysis

ISBN-10: 0470743824

ISBN-13: 9780470743829

Edition: 2009

Authors: A. Saltelli, K. Chan, E. M. Scott

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Book details

Copyright year: 2009
Publisher: John Wiley & Sons, Limited
Publication date: 10/28/2008
Binding: Paperback
Pages: 494
Size: 6.50" wide x 9.50" long x 1.00" tall
Weight: 1.782
Language: English

Andrea Saltelli, Francesca Campolongo, Jessica Cariboni, Debora Gatelli, Fulvia Pennoni, Marco Ratto, Michaela Saisana, Stefano Tarantola - 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). Terry Andres - Department of Computer Science, University of Manitoba. Dr Andres is one of the few people to successfully develop a graduate level sensitivity analysis course. He has delivered numerous courses to both students and practitioners and is an expert in experimental design.

What is Sensitivity Analysis
HitchhikerG+&s Guide to Sensitivity Analysis
Methods
Designs of Experiments
Screening Methods
Local Methods
Sampling-Based Methods
Reliability Algorithms: FORM and SORM Methods
Variance-Based Methods
Managing the Tyranny of Parameters in Mathematical Modelling of Physical Systems
Bayesian Sensitivity Analysis
Graphical Methods
Applications
Practical Experience in Applying Sensitivity and Uncertainty Analysis
Scenario and Parametric Sensitivity and Uncertainty Analysis in Nuclear Waste Disposal Risk Assessment: The Case of GESAMAC
Sensitivity Analysis for Signal Extraction in Economic Time Series
A Dataless Precalibration Analysis in Solid State Physics
Appplication of First-Order (FORM) and Second-Order (SORM) Reliability Methods: Analysis and Interpretation of Sensitivity Measures Related to Groundwater Pressure Decreases and Resulting Ground Subsidence
One-at-a-Time and Mini-Global Analyses for Characterizing Model Sensitivity in the Nonlinear Ozone Predictions from the US EPA Regional Acid Deposition Model (RADM)
Comparing Different Sensitivity Analysis Methods on a Chemical Reactions Model
An Application of Sensitivity Analysis to Fish Population Dynamics
Global Sensitivity Analysis: A Quality Assurance Tool in Environmental Policy Modelling
ConclusionS
Assuring the Quality of Models Designed for Predictive Tasks
Fortune and Future of Sensitivity Analysis
References
Appendix
Index