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Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis
 
 
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Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis [Paperback]

M. Granger Morgan (Author), Max Henrion (Author), Mitchell Small (Author)
4.5 out of 5 stars  See all reviews (4 customer reviews)

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Book Description

0521427444 978-0521427449 June 26, 1992
The authors explain the ways in which uncertainty is an important factor in the problems of risk and policy analysis. This book outlines the source and nature of uncertainty, discusses techniques for obtaining and using expert judgment, and reviews a variety of simple and advanced methods for analyzing uncertainty. Powerful computer environments and good graphical techniques for displaying uncertainty are just two of the more advanced topics addressed in later chapters.

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Editorial Reviews

Review

"This book is a significant contribution to the exploration of the basic issues and constitutes an important addition to the technical literature addressing uncertainty." Joseph Fragola, IEEE Spectrum

"Uncertainty is a risk analysis textbook that Granger Morgan and Max Henrion have written to serve as a basic text for students as well as a reference work for practitioners and researchers. Uncertainty succeeds both in providing an excellent basis for policy analysis and in drawing upon a variety of case studies that will be of interest to risk researchers." Journal of Economic Literature

"...a significant contribution to the exploration of the basic issues and constitutes an important addition to the technical literature addressing uncertainty." Joseph Fragola, IEEE Spectrum

Book Description

Uncertainty's importance in the problems of risk and policy analysis is explained by outlining its source and nature, discussing techniques for obtaining and using expert judgment and reviewing methods of analyzing uncertainty.

Product Details

  • Paperback: 346 pages
  • Publisher: Cambridge University Press (June 26, 1992)
  • Language: English
  • ISBN-10: 0521427444
  • ISBN-13: 978-0521427449
  • Product Dimensions: 9 x 6 x 1 inches
  • Shipping Weight: 1.1 pounds (View shipping rates and policies)
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #914,033 in Books (See Top 100 in Books)

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4.5 out of 5 stars (4 customer reviews)
 
 
 
 
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6 of 6 people found the following review helpful:
5.0 out of 5 stars clearly written, well informed, extensively referenced, April 17, 2008
By 
John Vann (Fremantle, Western Australia) - See all my reviews
(REAL NAME)   
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This review is from: Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis (Paperback)
I work in the mining industry and most activities which are carried out in the mining industry involve an element of risk. Decisions must be made in a climate of uncertainty and the outcome is dependent on circumstances & events that in many cases are simply beyond the control of the decision-maker. The subjects of uncertainty and risk are thus highly topical in the mining industry today. This book is an excellent starting point for geologists and engineers who wish to get to grips with the conceptual and philosophical basis of uncertainty assessment as well as a sound source of information about the specifics of modeling and other techniques.

The authors use of the word 'policy' should not be a deterrent: this is a fundamentally technical book. They use the word policy to mean '...to evaluate, order and structure incomplete knowledge so as to allow
decisions to be made with as complete an understanding as possible of the current state of knowledge, its limitations and its implications'.

The book is set out logically and comprises:

1. An overview including philosophical frameworks, an extended discussion of the nature, types and sources of uncertainty, and an introduction to the required probability and statistical theory (Ch. 1-4);
2. A good summary of the state of research about 'human judgments of uncertainty' and performance of probability assessments (Ch. 6-7). The psychology of uncertainty assessments, notions of subjectivity,
methods of evaluating subjective risk scores, and discussion of the role of 'experts' are covered well. Readers interested in these topics might also want to obtain James Reasons' book 'Human Error' (1990,Cambridge University Press; ISBN 0 521 31419 4).
3. Two chapters on technical tools and approaches. Ch. 8 covers the propagation and analysis of uncertainty, and the following chapter gives good guidance on the graphical presentation of uncertainty.
4. Ch. 10 & Ch. 11 present discussion of large, complex policy models and some specific guidance on software,& are probably least interesting to a mining audience.
5. The final chapter (Ch. 12) is entitled 'the value of knowing how little you know' and includes presentation of methods for establishing the expected value of including uncertainty (EVIU).

The book is clearly written, well-informed and extensively referenced. It's a bargain.
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1 of 1 people found the following review helpful:
3.0 out of 5 stars A bit dated; but good nonetheless, July 26, 2010
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This review is from: Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis (Paperback)
I've been trying to get more indepth involvement in the topic of risk and risk management at work. I found this from an Amazon partner at a really great price and decided to give it a whirl. It is a bit outdated but has a really good bunch of material that is surprisingly tractable given that in my experience books written in this timeframe tended to be pretty hard to use without a professor holding your hand. This one, in that regard, is somewhat typical but was surprisingly better than I would have expected. This is a definite keeper.
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1 of 1 people found the following review helpful:
5.0 out of 5 stars Excellent source for risk analysis and decision analysis, January 4, 2010
This review is from: Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis (Paperback)
The authors have nailed this one. A very complete treatment of the field. I rarely see a good review of decision theory that includes comprehensive research in calibrated probability assessments. But they cover the spectrum from basic decision theory to Monte Carlo simulations and everything in between.

The decision psychology was particularly comprehensive for a book of this genre.
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Inside This Book (learn more)
First Sentence:
Although a considerable theoretical literature and a number of small scale applications of techniques for dealing with uncertainty in policy analysis and policy focused research have been around for a couple of decades, larger applications to major policy problems are a more recent phenomenon. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
combinatorial scenarios, health effects experts, atmospheric science experts, knowing how little you know, sulfur air pollution example, interquartile index, quantitative policy analysis, nominal scenario, array abstraction, normative expertise, atmospheric experts, good policy analysis, expert subjective judgment, surprise index, probability wheel, ignoring uncertainty, expert elicitation, uncertainty importance, clarity test, linguistic imprecision, probability dimension, communicating uncertainty, uncertain inputs, probability assessors, loop sensitivity
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, New York, United States, Carnegie Mellon University, Management Science, Nuclear Regulatory Commission, Environmental Protection Agency, Cambridge University Press, Stadl von Holstein, Argonne National Laboratory, Journal of Experimental Psychology, National Research Council, Reactor Safety Study, Menlo Park, Research Triangle Park, Journal of Chemical Physics, Los Angeles, Psychological Review, American Journal of Physics, Assessing Uncertainty, Department of Energy, Journal of Applied Meteorology, Palo Alto, Risk Assessment Review Group, Safe Enough
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