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Validation Of Linear Programming Models

  • McCarl, Bruce A.
  • Apland, Jeffrey

Systematic approaches to validation of linear programming models are discussed for prescriptive and predictive applications to economic problems. Specific references are made to a general linear programming formulation, however, the approaches are applicable to mathematical programming applications in general. Detailed procedures are outlined for validating various aspects of model performance given complete or partial sets of observed, real world values of variables. Alternative evaluation criteria are presented along with procedures for correcting validation problems.

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Article provided by Southern Agricultural Economics Association in its journal Southern Journal of Agricultural Economics.

Volume (Year): 18 (1986)
Issue (Month): 02 (December)

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Handle: RePEc:ags:sojoae:29773
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  1. Lars Brink & Bruce McCari, 1979. "The Adequacy of a Crop Planning Model for Determining Income, Income Change, and Crop Mix," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 27(3), pages 13-25, November.
  2. Spreen, Thomas H., 2006. "Price Endogenous Mathematical Programming Models and Trade Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 38(02), August.
  3. Renato G. Pieri & Karl D. Meilke & T. Gordon MacAulay, 1977. "North American-Japanese Pork Trade: An Application Of Quadratic Programming," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 25(2), pages 61-79, 07.
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