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Foundations of Risk Analysis: A Knowledge and Decision-Oriented Perspective (Wiley Series in Probability and Statistics)
 
 
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Foundations of Risk Analysis: A Knowledge and Decision-Oriented Perspective (Wiley Series in Probability and Statistics) [Hardcover]

Terje Aven (Author)

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Book Description

November 17, 2003 0471495484 978-0471495482 1
Everyday we face decisions that carry an element of risk and uncertainty. The ability to analyse, communicate and control the level of risk entailed by these decisions remains one of the most pressing challenges to the analyst, scientist and manager. This book presents the foundational issues in risk analysis - expressing risk, understanding what risk means, building risk models, addressing uncertainty, and applying probability models to real problems. The principal aim of the book is to give the reader the knowledge and basic thinking they require to approach risk and uncertainty to support decision making.
* Presents a statistical framework for dealing with risk and uncertainty.
* Includes detailed coverage of building and applying risk models and methods.
* Offers new perspectives on risk, risk assessment and the use of parametric probability models.
* Highlights a number of applications from business and industry.
* Adopts a conceptual approach based on elementary probability calculus and statistical theory.
Foundations of Risk Analysis provides a framework for understanding, conducting and using risk analysis suitable for advanced undergraduates, graduates, analysts and researchers from statistics, engineering, finance, medicine and the physical sciences, as well as for managers facing decision making problems involving risk and uncertainty.

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Editorial Reviews

Review

"…a clearly written and practical guide to risk analysis for real-world statisticians in industry and business, and the world would be better if many of them read it and practice its precepts." (Journal of the American Statistical Association, June 2005)

"...refreshing, very well written, useful for its intended audience...in line with the way most statisticians would approach the problem..." (Short Book Reviews, 2004)

From the Back Cover

Everyday we face decisions that carry an element of risk and uncertainty. The ability to analyse, communicate and control the level of risk entailed by these decisions remains one of the most pressing challenges to the analyst, scientist and manager. This book presents the foundational issues in risk analysis ? expressing risk, understanding what risk means, building risk models, addressing uncertainty, and applying probability models to real problems. The principal aim of the book is to give the reader the knowledge and basic thinking they require to approach risk and uncertainty to support decision making.
  • Presents a statistical framework for dealing with risk and uncertainty.
  • Includes detailed coverage of building and applying risk models and methods.
  • Offers new perspectives on risk, risk assessment and the use of parametric probability models.
  • Highlights a number of applications from business and industry.
  • Adopts a conceptual approach based on elementary probability calculus and statistical theory.

Foundations of Risk Analysis provides a framework for understanding, conducting and using risk analysis suitable for advanced undergraduates, graduates, analysts and researchers from statistics, engineering, finance, medicine and the physical sciences, as well as for managers facing decision making problems involving risk and uncertainty.


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Inside This Book (learn more)
First Sentence:
The concept of risk and risk assessments has a long history. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
production safety target, formal expert elicitation, formal decision analyses, strong background information, fictional parameters, risk acceptance criteria, system being analysed, uncertainty distribution, ignition probability, formal decision analysis, managerial review, relative frequency interpretation, uncertainty assessments, statistical life, epistemic uncertainty, observable quantities, uncertainty analyses, predictive approach, market deliveries
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, John Wiley
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