Abstract
The present paper reports on a novel technique, based on linear goal programming, as an alternative to classical discriminant analysis. Using real data from a sales force motivation study, the authors show that the linear programming formulation can be a simple and accurate method in classifying entities to respective groups. The technique is compared to Fisher’s discriminant function analysis.
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Joachimsthaler, E.A. (2015). Linear Programming as an Alternative to Standard Discriminant Function Analysis. In: Lindquist, J.D. (eds) Proceedings of the 1984 Academy of Marketing Science (AMS) Annual Conference. Developments in Marketing Science: Proceedings of the Academy of Marketing Science. Springer, Cham. https://doi.org/10.1007/978-3-319-16973-6_99
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DOI: https://doi.org/10.1007/978-3-319-16973-6_99
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16972-9
Online ISBN: 978-3-319-16973-6
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