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Expert Resolution


  • Robert L. Winkler

    (Fuqua School of Business, Duke University, Durham, North Carolina 27706)


This paper discusses some current issues in the combination of probabilities and serves as an introduction to a series of four papers and a rejoinder relating to a paper by Morris (Morris, P. A. 1983. An axiomatic approach to expert resolution. Management Sci. 29 24--32.) on an axiomatic approach to expert resolution. The axiomatic approach and the modeling approach to expert resolution are discussed, and some comments on practical issues are given.

Suggested Citation

  • Robert L. Winkler, 1986. "Expert Resolution," Management Science, INFORMS, vol. 32(3), pages 298-303, March.
  • Handle: RePEc:inm:ormnsc:v:32:y:1986:i:3:p:298-303

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    Cited by:

    1. Sobel, Joel, 2014. "On the relationship between individual and group decisions," Theoretical Economics, Econometric Society, vol. 9(1), January.
    2. 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.
    3. Grant, Andrew & Johnstone, David, 2010. "Finding profitable forecast combinations using probability scoring rules," International Journal of Forecasting, Elsevier, vol. 26(3), pages 498-510, July.
    4. 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.
    5. Wallsten, Thomas S. & Diederich, Adele, 2001. "Understanding pooled subjective probability estimates," Mathematical Social Sciences, Elsevier, vol. 41(1), pages 1-18, January.
    6. Ladha, Krishna K., 1995. "Information pooling through majority-rule voting: Condorcet's jury theorem with correlated votes," Journal of Economic Behavior & Organization, Elsevier, vol. 26(3), pages 353-372, May.


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