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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/151960
A distance based approach to discriminant analysis and its properties
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A general distance based method for allocating an observation
to one of several known populations, on the ha.sis of both continuous
and discrete explanatory variables, is proposed and studied.
This method depends on a given statistical distance between
observations, and leads to sorne classic discriminant rules
by taking suitable distances. The error rates can be easily computed
and, unlike other distance classification rules, the prior
probabilities can be taken into account.
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Preprint enviat per a la seva publicació en una revista científica.
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CUADRAS, C. M. (Carlos María). A distance based approach to discriminant analysis and its properties. [consulted: 9 of October of 2026]. Available at: https://hdl.handle.net/2445/151960