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Selection of Variables in Discriminant Analysis by F-Statistic and Error Rate
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References
1977
Year
Bmd07m ProgramEngineeringMultivariate AnalysisData ScienceHigh-dimensional MethodDiscriminant AnalysisFeature SelectionBiostatisticsStatistical InferenceError RatePublic HealthPrincipal Component AnalysisFunctional Data AnalysisStatisticsProgram Discrim
Five programs for selection of variables in discriminant analysis are compared: the program DISCRIM of McCabe [8]. the BMD07M program, see Dixon [1], the program ALLOC-I of Habhema, Hermana and van den Broek [3], and two more recent programs: SPSS and BMDP7M, see Nie e.a. [10] and Dixon [2]. Emphasis is on the criteria for selection and on the distributional assumptions involved. The programs are compared experimentally using two examples: one with real data, also used by McCabe [8], and one with simulated data.