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A Comparison Of The Classification Accuracy Of Linear And Quadratic Statistical Discriminant Models Versus Linear And Quadratic Programming Discriminant Models, Jerry William Ferry
A Comparison Of The Classification Accuracy Of Linear And Quadratic Statistical Discriminant Models Versus Linear And Quadratic Programming Discriminant Models, Jerry William Ferry
Graduate Theses and Dissertations
The purpose of this research was to compare the classification accuracy of two mathematical programming models versus traditional statistical discriminant analysis. Monte Carlo techniques were used to compute population 1, population 2, and average misclassification rates for the linear discriminant function (LDF), the quadratic discriminant function (QDF), a linear programming discriminant model (LPDM), and a quadratic programming discriminant model (QPDM) for specific values of several parameters which affect discriminant analysis. This study was restricted to the two group, two variable discriminant problem.