Validation in the classical model
Book Chapter
(2018)
Author(s)
R. M. Cooke (Resources for the Future, TU Delft - Applied Probability)
Research Group
Applied Probability
DOI related publication
https://doi.org/10.1007/978-3-319-65052-4_3
To reference this document use:
https://resolver.tudelft.nl/uuid:4d86a873-00ed-4975-ba88-7a15a3f0e726
More Info
expand_more
expand_more
Publication Year
2018
Language
English
Research Group
Applied Probability
Pages (from-to)
37-59
ISBN (print)
978-3-319-65051-7
ISBN (electronic)
978-3-319-65052-4
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.
No files available
Metadata only record. There are no files for this record.