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AN EXPERIMENTAL COMPARISON OF STATISTICAL AND LINEAR PROGRAMMING APPROACHES TO THE DISCRIMINANT PROBLEM
Steve M. Bajgier, Arthur V Hill
Supply Chain and Operations
Research output
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Article
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peer-review
148
Scopus citations
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Dive into the research topics of 'AN EXPERIMENTAL COMPARISON OF STATISTICAL AND LINEAR PROGRAMMING APPROACHES TO THE DISCRIMINANT PROBLEM'. Together they form a unique fingerprint.
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Keyphrases
Decision Science
33%
Fisher
33%
Holdout Sample
33%
Hotelling's T2
33%
Linear Goal Programming
33%
Linear Programming
33%
Linear Programming Method
100%
Linear Statistical Model
33%
Statistical Computing
100%
Statistical Techniques
33%
Mathematics
Design Experiment
50%
Hotelling's T2
25%
Linear Programming
100%
Statistical Technique
25%
Statistics
25%
Test Problem
50%
Engineering
Design of Experiments
50%
Experimental Result
25%
Linear Programming
100%
Linear Technique
25%
Mathematical Model
25%
Computer Science
Design Experiment
50%
Experimental Result
25%
Goal Programming
25%
Linear Programming
100%
Statistical Technique
25%
Physics
Mathematical Model
100%