Robust classification procedures based on dichotomous and continuous variables (Q1262657)
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scientific article; zbMATH DE number 4124817
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Robust classification procedures based on dichotomous and continuous variables |
scientific article; zbMATH DE number 4124817 |
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Robust classification procedures based on dichotomous and continuous variables (English)
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1988
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Previously introduced [see the authors, Biom. J. 27, 123-138 (1985; Zbl 0609.62100), and Commun. Stat., Theory Methods 13, 967-986 (1984; Zbl 0572.62049)] robust classification procedures are extended to the case of observations consisting of a couple of variables: a dichotomous random variable and a univariate or multivariate continuous random variable. Three examples illustrate the theoretic results of the paper.
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modified maximum likelihood estimators
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outliers
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robust classification procedures
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dichotomous random variable
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multivariate continuous random variable
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0.91705036
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0.8813549
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0.87507313
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0.86715305
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0.8661754
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