Uncertain judgements : eliciting experts' probabilities /

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Bibliographic Details
Imprint:London ; Hoboken, NJ : John Wiley & Sons, c2006.
Description:xiii, 321 p. : ill. ; 24 cm.
Language:English
Series:Statistics in practice
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/6207255
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Other authors / contributors:O'Hagan, Anthony.
ISBN:0470029994 (hbk.)
Notes:Includes bibliographical references (p. 267-306) and indexes.
Standard no.:9780470029992
Table of Contents:
  • Preface
  • 1. Fundamentals of Probability and Judgement
  • 1.1. Introduction
  • 1.2. Probability and elicitation
  • 1.3. Uncertainty and the interpretation of probability
  • 1.4. Elicitation and the psychology of judgement
  • 1.5. What use are such judgements?
  • 1.6. Conclusions
  • 2. The Elicitation Context
  • 2.1. How and who?
  • 2.2. What is an expert?
  • 2.3. The elicitation process
  • 2.4. Conventions in ChaptersA 3 toA
  • 9. A
  • 2.5. Conclusions
  • 3. The Psychology of Judgement Under Uncertainty
  • 3.1. Introduction
  • 3.2. Understanding the task and the expert
  • 3.3. Understanding research on human judgement
  • 3.4. The heuristic and biases research programme
  • 3.4.6. The affect heuristic
  • 3.5. Experts and expertise
  • 3.6. Three meta theories of judgement
  • 3.7. Conclusions
  • 4. The Elicitation of Probabilities
  • 4.1. Introduction
  • 4.2. The Calibration of Subjective Probabilities
  • 4.3. The calibration in subjective probabilities: theories and explanations
  • 4.4. Representations and methods
  • 4.5. Debiasing
  • 4.6. Conclusions
  • 5. Eliciting Distributions - General
  • 5.1. From probabilities to distributions
  • 5.2. Eliciting univariate distributions
  • 5.3. Eliciting multivariate distributions
  • 5.4. Uncertainty and imprecision
  • 5.5. Conclusions
  • 6. Eliciting and Fitting a Parametric Distribution
  • 6.1. Introduction
  • 6.2. Outline of this chapter
  • 6.3. Eliciting opinion about a proportion
  • 6.4. Eliciting opinion about a general scalar quantity
  • 6.5. Eliciting opinion about a set of proportions
  • 6.6. Eliciting opinion aboutA the parameters of a multivariate normal distribution
  • 6.7. Eliciting opinion aboutA the parameters of a linear regression model
  • 6.8. Eliciting opinion about the parameters of a generalized linear model
  • 6.9. Elicitation methods for other problems
  • 6.10. Deficiencies in existing research
  • 6.11. Conclusions
  • 7. Eliciting Distributions - Uncertainty and Imprecision
  • 7.1. Introduction
  • 7.2. Imprecise probabilities
  • 7.3. Incomplete information
  • 7.4. Summary
  • 7.5. Conclusions
  • 8. Evaluating Elicitation
  • 8.1. Introduction
  • 8.2. Scoring rules
  • 8.3. Coherence, feedback and overfitting
  • 8.4. Conclusions
  • 9. Multiple Experts
  • 9.1. Introduction
  • 9.2. MathematicalA aggregation
  • 9.3. BehaviouralA aggregation
  • 9.4. Discussion
  • 9.5. Elicitation practice
  • 9.6. A Research questions
  • 10. Published Examples of the Formal Elicitation of Expert Opinion
  • 10.1. Some applications
  • 10.2. An example of an elicitation interview - eliciting engine sales
  • 10.3. Medicine
  • 10.4. The nuclear industry
  • 10.5. Veterinary science
  • 10.6. Agriculture
  • 10.7. Meteorology
  • 10.8. Business studies, economics and finance
  • 10.9. Other professions
  • 10.10. Other examples of the elicitation of subjective probabilities
  • 11. Guidance on Best Practice
  • 12. Areas for Research
  • Glossary
  • Bibliography
  • Author Index
  • Index