Validation in the classical model
Book Chapter
(2018)
Author(s)
Roger M. Cooke (TU Delft - Applied Probability, Resources for the Future)
DOI related publication
https://doi.org/10.1007/978-3-319-65052-4_3
Final published version
To reference this document use
https://resolver.tudelft.nl/uuid:4d86a873-00ed-4975-ba88-7a15a3f0e726
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Publication Year
2018
Language
English
Pages (from-to)
37-59
Publisher
Springer
ISBN (print)
978-3-319-65051-7
ISBN (electronic)
978-3-319-65052-4
Downloads counter
108
Abstract
Validation is the hallmark of science. For expert judgment to contribute to science-based uncertainty quantification, it must become amenable to empirical validation. Using data in which experts quantify uncertainty on variables from their fields whose true values are known post hoc, this chapter explains how validation is performed in the Classical Model for structured expert judgment and reviews results for different combination methods.