Optimal classification of random observations that differ by the regression equations (Q1090037)
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scientific article; zbMATH DE number 4007500
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Optimal classification of random observations that differ by the regression equations |
scientific article; zbMATH DE number 4007500 |
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Optimal classification of random observations that differ by the regression equations (English)
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1986
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The classification of multidimensional observations that differ by regression equations not known a priori, are estimated on the basis of a random sample (classified or unclassified). Estimates are obtained for the error probability of decision rules with regard to learning and self- organization, depending on the sample size and the design of experiments. The results are illustrated by a numerical example.
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classification of multidimensional observations
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regression equations
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error probability of decision rules
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learning
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self-organization
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sample size
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design of experiments
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numerical example
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0.7433602809906006
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0.7382572293281555
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