Discriminant analysis and statistical pattern recognition
著者
書誌事項
Discriminant analysis and statistical pattern recognition
（Wiley series in probability and mathematical statistics, . Applied probability and statistics）
Wiley, c1992
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注記
"A Wiley-Interscience publication."
Includes bibliographical references (p. 447-506) and indexes
内容説明・目次
内容説明
This study is a systematic account of the subject area, concentrating on recent advances in the field. While the focus is on practical considerations, both theoretical and practical issues are explored. Among the advances covered are regularized discriminant analysis and bootstrap-based assessment of the performance of a sample-based discriminant rule, and extensions of discriminant analysis motivated by problems in statistical image analysis. The accompanying bibliography contains over 1200 references.
目次
- Likelihood-based approaches to discrimination
- discrimination via normal models
- distributional results for discrimination via normal models
- some practical aspects and variants of normal theory-based discriminant rules
- data analytic considerations with normal theory-based discriminant analysis
- parametric discrimination via non-normal models
- logistic discrimination
- nonparametric discrimination
- estimation of error rates
- assessing the reliability of the estimated posterior probabilities of group membership
- selection of feature variables in discriminant analysis
- statistical image analysis.
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