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Research and Markets: Risk Modeling, Assessment, and Management, 3rd Edition.

DUBLIN, Ireland -- Research and Markets (http://www.researchandmarkets.com/research/0fe4fc/risk_modeling_ass) has announced the addition of John Wiley John Wiley may refer to:
  • John Wiley & Sons, publishing company
  • John C. Wiley, American ambassador
  • John D. Wiley, Chancellor of the University of Wisconsin-Madison
  • John M. Wiley (1846–1912), U.S.
 and Sons Ltd's new report "Risk Modeling, Assessment, and Management, 3rd Edition" to their offering.

* Integrates the art and science of risk analysis.

* Clearly shows how to quantify risk and construct probability in conjunction with real-world decision-making problems, including a host of institutional, organizational, political, and cultural considerations.

* Presents basic concepts as well as advanced material, avoiding higher mathematics whenever possible.

* Incorporates numerous examples and case studies to illustrate the analytical methods under discussion.

* An accompanying web site will offer 200 example problems and case studies.

Author:

Yacov Y. Haimes is the Lawrence R. Quarles Professor of Systems and Information Engineering and Civil Engineering. He is the Founding Director (1987) of the Center for Risk Management of Engineering Systems at the University of Virginia.

Key Topics Covered:

* Preface.

* Acknowledgments.

* PART I: FUNDAMENTALS OF RISK MODELING, ASSESSMENT, AND MANAGEMENT.

* 1. The Art and Science of Systems and Risk Analysis.

* 2. The Role of Modeling in the Risk Analysis Process.

* 3. Identifying Risk Through Hierarchical Holographic See holographic storage.  Modeling.

* 4. Decision Analysis.

* 5. Multiobjective Trade-Off Analysis.

* 6. Defining Uncertainty and Sensitivity Analysis.

* 7. Risk Filtering, Ranking, and Management.

* PART II: ADVANCES IN RISK MODELING, ASSESSMENT, AND MANAGEMENT.

* 8. Risk of Extreme Events and the Fallacy fallacy, in logic, a term used to characterize an invalid argument. Strictly speaking, it refers only to the transition from a set of premises to a conclusion, and is distinguished from falsity, a value attributed to a single statement.  of Expected Value Expected value

The weighted average of a probability distribution. Also known as the mean value.
.

* 9. Multiobjective Decision-Tree Analysis.

* 10. Multiobjective Risk Impact Analysis Method.

* 11. Statistics of Extremes: Extension of the PMRM PMRM Power Measurement Report Message
PMRM Periodic Maintenance Requirements Manual
.

* 12. Bayesian Analysis Bayesian analysis A decision-making analysis that '…permits the calculation of the probability that one treatment is superior based on the observed data and prior beliefs…subjectivity of beliefs is not a liability, but rather explicitly allows  and the Prediction of Chemical Carcinogenicity carcinogenicity /car·ci·no·ge·nic·i·ty/ (kahr?si-no-je-nis´i-te) the ability or tendency to produce cancer.

carcinogenicity

the ability or tendency to produce cancer.
.

* 13. Fault Trees.

* 14. Multiobjective Statistical Method.

* 15. Principles and Guidelines for Project Risk Management.

* 16. Applying Risk Analysis to Space Missions.

* 17. Risk Modeling, Assessment, and Management of Terrorism.

* 18. Inoperability Input-Output Model This article is about the economic model. For the computer interface, see Input/output.

The Input-output model of economics uses a matrix representation of a nation's (or a region's) economy to predict the effect of changes in one industry on others and by
 and Its Derivatives for Interdependent Infrastructure Sectors.

* 19. Case Studies.

* Appendix: Optimization Techniques.

* Index.

For more information visit http://www.researchandmarkets.com/research/0fe4fc/risk_modeling_ass
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Publication:Business Wire
Date:Mar 23, 2009
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