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Statistics in Expert Resolution: A Theory of Weights for Combining Expert Opinion

  • Roger M. Cooke
Chapter
Part of the Boston Studies in the Philosophy of Science book series (BSPS, volume 122)

Abstract

In many fields, including risk analysis, reliability, policy analysis, forecasting etc., expert opinion in the form of quantitative subjective probability assessments is being increasingly used when objective statistical data is lacking. This raises new problems for statistitians and probabilists, as models for extracting and analysing data from this new source must be developed. It is not surprising that most models to date have proceeded from the Bayesian standpoint, and intend to support the analyst in ‘updating’ his prior opinion with the probabilistic assessments from one or more experts. Many examples from this school can be found in (Clarotti and Lindley, 1988). Although there are countless ad hoc applications of expert opinion, applications of models for using expert opinion are harder to find. Good examples can be found in Apostolakis (1988).

Keywords

Average Probability Scoring Rule Sample Entropy Response Entropy Uncertain Quantity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kluwer Academic Publishers 1990

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  • Roger M. Cooke

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