# name
A distance based approach to discriminant analysis and its properties

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Preprint enviat per a la seva publicació en una revista científica.

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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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Reproducció digital del document original en paper [CRAI Biblioteca de Matemàtiques i Informàtica - Dipòsit Departament CAIXA 32.30]

# metadata.dc.source[].value
Preprints de Matemàtiques - Mathematics Preprint Series

# metadata.dc.subject.other[].value
Universitat de Barcelona. Institut de Matemàtica

# metadata.dc.title[].value
A distance based approach to discriminant analysis and its properties