Eliciting and Analyzing Expert Judgment, A Practical Guide

By J. Kerkering. Technometrics, 2002

370 citations recorded by the source corpus.

Subfields: Management Information Systems

View Paper: https://www.semanticscholar.org/paper/e89f3ef7c901a18b8304e18d9d6163d36fa75f67

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In Management Information Systems

Citations in the corpus

An exploration of alternative approaches to the representation of uncertainty in model predictions (2003, background): “Although such uncertainty characterizations may be obtained, at least in part, from direct experimentation and observation, most real analyses require some type of expert review and assessment process to convert available information into a mathematical form that is suitable for further analysis [74”
Eliciting Expert Knowledge in Conservation Science (2012, background): “Several authors provide more extensive advice on managing elicitation bias (Meyer & Booker 1991; O’Hagan et al. 2006; Kynn 2008; Low-Choy et al. 2009).”
The role of expert opinion in environmental modelling (2012, background): “Our aim here is to highlight the main concepts and issues, and we refer the reader to 5 standard texts (Cooke, 1991; Ayyub, 2001; Meyer and Booker, 2001; O'Hagan et al., 2006) 6 for in-depth treatments.”
Survey of sampling-based methods for uncertainty and sensitivity analysis (2006, methodology): “[46, 93–100,109–119].”
Nearest Neighbour Classification with Monotonicity Constraints (2008, background): “In addition to requiring less cognitive effort, such relative judgements tend to be more reliable than direct numerical assessments [19].”
Statistical Methods for Eliciting Probability Distributions (2005, background): “An appreciation of the strategies people use to quantify their opinions can give an indication of how (and how well) these tasks might be performed (Meyer and Booker, 2001).”
Calibration, validation, and sensitivity analysis: What's what (2006, background): “The learning goal here is to expand the information beyond the training data set by using domain experts (see [64-66]).”
Measuring Team Knowledge (2000, neutral): “…been directed at mapping methods for individual knowledge elicitation to the type of knowledge that each elicits (Boose & Bradshaw, 1987; Geiwitz, Klatsky, & McCloskey, 1988; Geiwitz, Kornell, & McCloskey, 1990; Kitto & Boose, 1987, 1989; Meyer & Booker, 1990; Wielinga, Schreiber, & Breuker, 1992).”