Description
Book Synopsis- Offers an accessible introduction to sensitivity analysis. - Covers all the latest research. - Illustrates concepts with numerous examples, applications and case studies.
Table of ContentsWhat is Sensitivity Analysis.
Hitchhiker'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.
