IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v29y1983i1p24-32.html
   My bibliography  Save this article

An Axiomatic Approach to Expert Resolution

Author

Listed:
  • Peter A. Morris

    (Applied Decision Analysis, Inc., Menlo Park, California)

Abstract

This paper proposes a set of axioms for combining expert probability assessments. The axioms provide a framework for understanding previous results, and are used to derive a new method for combining event probabilities from different sources into a single estimate.

Suggested Citation

  • Peter A. Morris, 1983. "An Axiomatic Approach to Expert Resolution," Management Science, INFORMS, vol. 29(1), pages 24-32, January.
  • Handle: RePEc:inm:ormnsc:v:29:y:1983:i:1:p:24-32
    DOI: 10.1287/mnsc.29.1.24
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.29.1.24
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.29.1.24?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Irene Valsecchi, 2013. "The expert problem: a survey," Economics of Governance, Springer, vol. 14(4), pages 303-331, November.
    2. Hans Gersbach & Markus Müller, 2010. "Flexible pensions for politicians," Public Choice, Springer, vol. 145(1), pages 103-124, October.
    3. Hans Gersbach & Oriana Ponta, 2017. "Unraveling short- and farsightedness in politics," Public Choice, Springer, vol. 170(3), pages 289-321, March.
    4. Mehrez, A. & Yuan, Y. & Gafni, A., 1995. "The search for information -- A patient perspective on multiple opinions," European Journal of Operational Research, Elsevier, vol. 85(2), pages 244-262, September.
    5. Gersbach, Hans & Müller, Markus, 2006. "Elections, Contracts and Markets," CEPR Discussion Papers 5717, C.E.P.R. Discussion Papers.
    6. Paola Monari & Patrizia Agati, 2001. "Fiducial inference in combining expert judgements," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 10(1), pages 81-97, January.
    7. Wan S. Shin & Jung J. Lee, 1992. "A multi‐run interactive method for bicriterion optimization problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 39(1), pages 115-135, February.
    8. Weyant John, 2014. "Integrated assessment of climate change: state of the literature," Journal of Benefit-Cost Analysis, De Gruyter, vol. 5(3), pages 377-409, December.
    9. Jason R. W. Merrick, 2008. "Getting the Right Mix of Experts," Decision Analysis, INFORMS, vol. 5(1), pages 43-52, March.
    10. Wang, W., 1997. "Subjective estimation of the delay time distribution in maintenance modelling," European Journal of Operational Research, Elsevier, vol. 99(3), pages 516-529, June.
    11. Ali E. Abbas, 2009. "A Kullback-Leibler View of Linear and Log-Linear Pools," Decision Analysis, INFORMS, vol. 6(1), pages 25-37, March.
    12. Alina Beygelzimer & John Langford & David Pennock, 2012. "Learning Performance of Prediction Markets with Kelly Bettors," Papers 1201.6655, arXiv.org.
    13. Jason R. W. Merrick & J. Rene van Dorp & Amita Singh, 2005. "Analysis of Correlated Expert Judgments from Extended Pairwise Comparisons," Decision Analysis, INFORMS, vol. 2(1), pages 17-29, March.
    14. Wallsten, Thomas S. & Diederich, Adele, 2001. "Understanding pooled subjective probability estimates," Mathematical Social Sciences, Elsevier, vol. 41(1), pages 1-18, January.
    15. Bigun, Elizabeth Saers, 1995. "Risk analysis of catastrophes using experts' judgements: An empirical study on risk analysis of major civil aircraft accidents in Europe," European Journal of Operational Research, Elsevier, vol. 87(3), pages 599-612, December.
    16. Robert T. Clemen & Robert L. Winkler, 1999. "Combining Probability Distributions From Experts in Risk Analysis," Risk Analysis, John Wiley & Sons, vol. 19(2), pages 187-203, April.
    17. David V. Budescu & Hsiu-Ting Yu, 2006. "To Bayes or Not to Bayes? A Comparison of Two Classes of Models of Information Aggregation," Decision Analysis, INFORMS, vol. 3(3), pages 145-162, September.
    18. James E. Smith & Detlof von Winterfeldt, 2004. "Anniversary Article: Decision Analysis in Management Science," Management Science, INFORMS, vol. 50(5), pages 561-574, May.
    19. Bolger, Donnacha & Houlding, Brett, 2017. "Deriving the probability of a linear opinion pooling method being superior to a set of alternatives," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 41-49.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormnsc:v:29:y:1983:i:1:p:24-32. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.