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Whose uncertainty assessments (probability distributions) does a risk assessment report: the analysts' or the experts'?

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  • Aven, Terje
  • Guikema, Seth

Abstract

It is often said that the aim of risk assessment is to faithfully represent and report the knowledge of some defined experts in the field studied. The analysts' job is to elicit this knowledge, synthesise it and report the results as integrated uncertainty assessments, for example, expressed through a set of probability distributions. Analysts' judgements beyond these tasks should not be incorporated in the uncertainty assessments (distributions). The purpose of the present paper is to discuss the rationale of this perspective. To conduct a risk assessment in practice the analysts need to make a number of judgements related to, for example, the choice of methods and models that to a large extent influence the results. And often the analysts are the real experts on many of the issues addressed in the assessments, in particular, when it comes to understanding how various phenomena and processes interact. Would it then not be more appropriate to fully acknowledge the role of the analysts as uncertainty assessors and probability assigners, and see the results of the risk assessments as their judgements based on input from the experts? The discussion is illustrated by two examples.

Suggested Citation

  • Aven, Terje & Guikema, Seth, 2011. "Whose uncertainty assessments (probability distributions) does a risk assessment report: the analysts' or the experts'?," Reliability Engineering and System Safety, Elsevier, vol. 96(10), pages 1257-1262.
    • Handle: RePEc:eee:reensy:v:96:y:2011:i:10:p:1257-1262
    DOI: 10.1016/j.ress.2011.05.001
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    1. Dubois, Didier, 2006. "Possibility theory and statistical reasoning," Computational Statistics & Data Analysis, Elsevier, vol. 51(1), pages 47-69, November.
    2. James Berger & Elías Moreno & Luis Pericchi & M. Bayarri & José Bernardo & Juan Cano & Julián Horra & Jacinto Martín & David Ríos-Insúa & Bruno Betrò & A. Dasgupta & Paul Gustafson & Larry Wasserman &, 1994. "An overview of robust Bayesian analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 3(1), pages 5-124, June.
    3. F. Owen Hoffman & Stan Kaplan, 1999. "Beyond the Domain of Direct Observation: How to Specify a Probability Distribution that Represents the “State of Knowledge” About Uncertain Inputs," Risk Analysis, John Wiley & Sons, vol. 19(1), pages 131-134, February.
    4. Aven, Terje & Zio, Enrico, 2011. "Some considerations on the treatment of uncertainties in risk assessment for practical decision making," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 64-74.
    5. M. Elisabeth Paté-Cornell & Robin L. Dillon, 2006. "The Respective Roles of Risk and Decision Analyses in Decision Support," Decision Analysis, INFORMS, vol. 3(4), pages 220-232, December.
    6. Keeney, Ralph L & Kulkarni, Ram B & Nair, Keshavan, 1979. "A risk analysis of an LNG terminal," Omega, Elsevier, vol. 7(3), pages 191-205.
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