An In-Depth Perspective on the Classical Model

Book Chapter (2021)
Author(s)

Anca M. Hanea (University of Melbourne)

G.F. Nane (TU Delft - Applied Probability)

Research Group
Applied Probability
Copyright
© 2021 Anca M. Hanea, G.F. Nane
DOI related publication
https://doi.org/10.1007/978-3-030-46474-5_10
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 Anca M. Hanea, G.F. Nane
Research Group
Applied Probability
Pages (from-to)
225-256
ISBN (print)
978-3-030-46473-8
ISBN (electronic)
978-3-030-46474-5
Reuse Rights

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Abstract

The Classical Model (CM) or Cooke’s method for performing Structured Expert Judgement (SEJ) is the best-known method that promotes expert performance evaluation when aggregating experts’ assessments of uncertain quantities. Assessing experts’ performance in quantifying uncertainty involves two scores in CM, the calibration score (or statistical accuracy) and the information score. The two scores combine into overall scores, which, in turn, yield weights for a performance-based aggregation of experts’ opinions. The method is fairly demanding, and therefore carrying out a SEJ elicitation with CM requires careful consideration. This chapter aims to address the methodological and practical aspects of CM into a comprehensive overview of the CM elicitation process. It complements the chapter “Elicitation in the Classical Model” in the book Elicitation (Quigley et al. 2018). Nonetheless, we regard this chapter as a stand-alone material, hence some concepts and definitions will be repeated, for the sake of completeness.

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