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Record Nr. |
UNINA9910877253803321 |
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Autore |
McLachlan Geoffrey J |
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Titolo |
Discriminant Analysis and Statistical Pattern Recognition [[electronic resource]] |
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Pubbl/distr/stampa |
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Hoboken, : John Wiley & Sons, Inc., 2005 |
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ISBN |
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9786610253012 |
0-471-72529-3 |
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Descrizione fisica |
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1 online resource (552 p.) |
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Collana |
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Wiley series in probability and mathematical statistics. Discriminant analysis and statistical pattern recognition |
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Disciplina |
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Soggetti |
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Discriminant analysis |
Pattern perception |
Mathematics |
Mathematical Statistics |
Physical Sciences & Mathematics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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Discriminant Analysis and Statistical Pattern Recognition; Contents; Preface; 1. General Introduction; 2. Likelihood-Based Approaches to Discrimination; 3. Discrimination via Normal Models; 4. Distributional Results for Discrimination via Normal Models; 5. Some Practical Aspects and Variants of Normal Theory-Based Discriminant Rules; 6. Data Analytic Considerations with Normal Theory-Based Discriminant Analysis; 7. Parametric Discrimination via Nonnormal Models; 8. Logistic Discrimination; 9. Nonparametric Discrimination; 10. Estimation of Error Rates |
11. Assessing the Reliability of the Estimated Posterior Probabilities of Group Membership12. Selection of Feature Variables in Discriminant Analysis; 13. Statistical Image Analysis; References; Author Index; Subject Index; |
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Sommario/riassunto |
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Provides a systematic account of the subject area, concentrating on the most 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 |
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