Uncertain Judgements: Eliciting Experts' Probabilities

Uncertain Judgements: Eliciting Experts' Probabilities

Author(s): Anthony O'Hagan, Caitlin E. Buck, Alireza Daneshkhah, J. Richard Eiser, Paul H. Garthwaite, David J. Jenkinson, Jeremy E. Oakley, Tim Rakow

Published Online: 19 OCT 2006

Print ISBN: 9780470029992

Online ISBN: 9780470033319

DOI: 10.1002/0470033312

Series Editor(s): Stephen Senn, Marian Scott, Peter Bloomfield

About this Book

Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities, and formulating that information as a probability distribution. Elicitation is important in situations, such as modelling the safety of nuclear installations or assessing the risk of terrorist attacks, where expert knowledge is essentially the only source of good information. It also plays a major role in other contexts by augmenting scarce observational data, through the use of Bayesian statistical methods. However, elicitation is not a simple task, and practitioners need to be aware of a wide range of research findings in order to elicit expert judgements accurately and reliably. Uncertain Judgements introduces the area, before guiding the reader through the study of appropriate elicitation methods, illustrated by a variety of multi-disciplinary examples.

This is achieved by:

  • Presenting a methodological framework for the elicitation of expert knowledge incorporating findings from both statistical and psychological research.
  • Detailing techniques for the elicitation of a wide range of standard distributions, appropriate to the most common types of quantities.
  • Providing a comprehensive review of the available literature and pointing to the best practice methods and future research needs.
  • Using examples from many disciplines, including statistics, psychology, engineering and health sciences.
  • Including an extensive glossary of statistical and psychological terms.

An ideal source and guide for statisticians and psychologists with interests in expert judgement or practical applications of Bayesian analysis, Uncertain Judgements will also benefit decision-makers, risk analysts, engineers and researchers in the medical and social sciences.

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