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A Data Collection Strategy for Estimation of Cost Coefficients of a Linear Programming Model

Author

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  • A. A. Cunningham

    (University of Toronto)

  • D. M. Frances

    (University of Toronto)

Abstract

The problem considered is one of selecting from a number of alternative sources of information for the refinement of estimates of objective function coefficients of a linear programming model. The approach used is that of Bayesian decision theory. A sequential scheme for the computing of bounds on the value of information is devised. Using these bounds the information of greatest value may be identified.

Suggested Citation

  • A. A. Cunningham & D. M. Frances, 1976. "A Data Collection Strategy for Estimation of Cost Coefficients of a Linear Programming Model," Management Science, INFORMS, vol. 22(10), pages 1074-1080, June.
  • Handle: RePEc:inm:ormnsc:v:22:y:1976:i:10:p:1074-1080
    DOI: 10.1287/mnsc.22.10.1074
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    Cited by:

    1. Scott E. Sampson, 2008. "OR PRACTICE---Optimization of Vacation Timeshare Scheduling," Operations Research, INFORMS, vol. 56(5), pages 1079-1088, October.

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