Validation in the classical model

Roger M. Cooke

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientific

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationElicitation
Subtitle of host publicationInternational Series in Operations Research and Management Science
EditorsL. Dias, A. Morton, J. Quigley
Place of PublicationCham
PublisherSpringer
Chapter3
Pages37-59
Number of pages23
ISBN (Electronic)978-3-319-65052-4
ISBN (Print)978-3-319-65051-7
DOIs
Publication statusPublished - 2018

Publication series

NameInternational Series in Operations Research and Management Science
PublisherSpringer
Volume261
ISSN (Print)0884-8289

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  • Cite this

    Cooke, R. M. (2018). Validation in the classical model. In L. Dias, A. Morton, & J. Quigley (Eds.), Elicitation: International Series in Operations Research and Management Science (pp. 37-59). (International Series in Operations Research and Management Science; Vol. 261). Springer. https://doi.org/10.1007/978-3-319-65052-4_3