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Expert Resolution

Author

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  • Robert L. Winkler

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

Abstract

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
    DOI: 10.1287/mnsc.32.3.298
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. ,, 2014. "On the relationship between individual and group decisions," Theoretical Economics, Econometric Society, vol. 9(1), January.
    5. 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.
    6. Wallsten, Thomas S. & Diederich, Adele, 2001. "Understanding pooled subjective probability estimates," Mathematical Social Sciences, Elsevier, vol. 41(1), pages 1-18, January.

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