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Validation of Linear Programming Models

Published online by Cambridge University Press:  05 September 2016

Bruce A. McCarl  and
Jeffrey Apland
Bruce A. McCarl
Affiliation:
Department of Agricultural Economics, Texas A&M University
Jeffrey Apland
Affiliation:
Department of Agricultural and Applied Economics, University of Minnesota
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Abstract

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.

Keywords

linear programmingmathematical programmingvalidation

Information

Type
Submitted Articles
Information
Journal of Agricultural and Applied Economics , Volume 18 , Issue 2 , December 1986 , pp. 155 - 164
Copyright
Copyright © Southern Agricultural Economics Association 1986

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