VALIDATION OF LINEAR PROGRAMMING MODELS

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.


Issue Date:
1986-12
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/29773
Published in:
Southern Journal of Agricultural Economics, Volume 18, Number 2
Page range:
155-164
Total Pages:
10




 Record created 2017-04-01, last modified 2017-04-04

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