Re-sampling procedures for reducing bias of error rate estimation in multinomial classification (Q1073508)
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scientific article; zbMATH DE number 3945125
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Re-sampling procedures for reducing bias of error rate estimation in multinomial classification |
scientific article; zbMATH DE number 3945125 |
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Re-sampling procedures for reducing bias of error rate estimation in multinomial classification (English)
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1986
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The bias in estimating the error rate of a multinomial classification problem is addressed. The cross-validation, jackknife and bootstrap procedures are introduced to obtain the bias-reducing estimates of error rate. The performance of these procedures is examined by Monte Carlo simulation under different population structures. It is found that all three procedures are effective in reducing bias under small sample situations.
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discriminant function analysis
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multinomial classification
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cross- validation
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jackknife
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bootstrap procedures
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bias-reducing estimates of error rate
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small sample situations
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