Validation of Linear Programming Models
Bruce McCarl and
Jeffrey Apland ()
Journal of Agricultural and Applied Economics, 1986, vol. 18, issue 2, 155-164
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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Journal Article: VALIDATION OF LINEAR PROGRAMMING MODELS (1986)
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Persistent link: https://EconPapers.repec.org/RePEc:cup:jagaec:v:18:y:1986:i:02:p:155-164_00
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