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Expert Judgment: MisConceptions,

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All cause mortality, percent increase per 1 g/m3 increase in PM2.5 (RESS-PM25.pdf) ... Fairness (ab initio, all experts equal) Empirical control (performance meas't) ... – PowerPoint PPT presentation

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Title: Expert Judgment: MisConceptions,


1
UNCERTAINTY
2 Expert Judgmentfor Quantifying Uncertainty
AMBIGUITY
Roger Cooke Resources for the Future Dept. Math,
Delft Univ. of Technology April 15,16 2008
INDECISION
2
Uncertainty from random sampling ...omits
important sources of uncertainty NRC(2003)
  • All cause mortality, percent increase per 1 µg/m3
    increase in PM2.5 (RESS-PM25.pdf)

3
History Structured Expert Judgment in Risk
Analysis
  • WASH 1400 (Rasmussen Report, 1975)
  • IEEE Std 500 (1977)
  • Canvey Island (1978)
  • NUREG 1150 (1989)
  • T-book (Swedish Reliability Data Base 1994)
  • USNRC-EU (1995-1997)
  • Guidance on Uncertainty and Use of Experts.
    NUREG/CR-6372, 1997
  • Procedures Guide for Structured Expert Judgment,
    EUR 18820EN, 2000

4
Goals of an EJ study
  • Census
  • Political consensus
  • Rational consensus
  • EJCoursenotes_review-EJ-literature.doc

5
EJ for RATIONAL CONSENSUSRESS-TUDdatabase.pdf
  • Parties pre-commit to a method which satisfies
    necessary conditions for scientific method
  • Traceability/accountability
  • Neutrality (dont encourage untruthfulness)
  • Fairness (ab initio, all experts equal)
  • Empirical control (performance meast)
  • Withdrawal post hoc incurs burden of proof.
  • Goal comply with principals and combine experts
    judgments to get a Good Probability Assessor
  • Classical Model for EJ

6
What is a GOOD subjective probability assessor?
  • Calibration, statistical likelihood
  • Are the experts probability statements
    statistically accurate? P-value of statistical
    test
  • Informativeness
  • Probability mass concentrated in a small region,
    relative to background measure
  • Nominal values near truth
  • ?

7
Combined Score
  • Calibration ? information ? cutoff
  • Requires that experts assess uncertainty for
    variables for which we (will) know the true
    values
  • Calibration / performance / seed
    variables
  • any expert, or combination of experts, can be
    regarded as a statistical hypothesis

8
Expert elicitation techniques
  • Delphi
  • Nominal group techniques
  • Group nomination
  • Team building, decision conferencing, etc
  • Key question How do we measure performance
  • Credibility via performance, period.
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