Resumo

HERNANDEZ BARAJAS, FREDDY  e  CORREA MORALES, JUAN CARLOS. Comparison for three Classification Techniques. Rev.Colomb.Estad. [online]. 2009, vol.32, n.2, pp.247-265. ISSN 0120-1751.

In this paper we show the results of a comparison simulation study for three classification techniques: Multinomial Logistic Regression (MLR), No Metric Discriminant Analysis (NDA) and Linear Discriminant Analysis (LDA). The measure used to compare the performance of the three techniques was the Error Classification Rate (ECR). We found that MLR and LDA techniques have similar performance and that they are better than DNA when the population multivariate distribution is Normal or Logit-Normal. For the case of log-normal and Sinh^-1-normal multivariate distributions we found that MLR had the better performance.

Palavras-chave : Logistic regression; Nonparametric discriminant analysis; Multiple classification.

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