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- W2523156535 abstract "Two linear functions for discriminating with qualitative variables (Fisher's linear discriminant function and the independence rule) are compared with the general multinomial procedure, a rule based on Lancaster's definition of higher order interactions and the quadratic discriminant function. The evaluation of these functions is carried out within Monte Carlo experiments. Various types of underlying distributions generated by a special algorithm are used." @default.
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- W2523156535 date "1983-01-01" @default.
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- W2523156535 title "On the Performance of Some Classification Rules for Qualitative Data for Simulated Underlying Distributions" @default.
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- W2523156535 doi "https://doi.org/10.1002/bimj.19830250708" @default.
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