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PubMed · 10304050

A comparison of dummy variable versus traditional multiple discriminant function analysis.

K F McCrohan·J W Harvey
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Abstract

The authors compare the use of dummy variable and traditional multiple discriminant function analysis when dealing with research questions where ratio or nominal scale independent variables can be used. A healthcare-related example of using dv MDF is given and the authors conclude that it is superior to traditional MDF for determining variable importance and developing market segment profiles.

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Analysis of VarianceDiscriminant AnalysisMarketing of Health ServicesModels, StatisticalResearch DesignUnited StatesComparative StudyJournal ArticleReview

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K F McCrohan, J W Harvey. 1989. A comparison of dummy variable versus traditional multiple discriminant function analysis.. https://doi.org/10.1300/j026v06n04_11

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