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Discriminant Analysis and Statistical Pattern Recognition [[electronic resource]]



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Autore: McLachlan Geoffrey J Visualizza persona
Titolo: Discriminant Analysis and Statistical Pattern Recognition [[electronic resource]] Visualizza cluster
Pubblicazione: Hoboken, : John Wiley & Sons, Inc., 2005
Descrizione fisica: 1 online resource (552 p.)
Disciplina: 519.5/35
Soggetto topico: Discriminant analysis
Pattern perception
Mathematics
Mathematical Statistics
Physical Sciences & Mathematics
Note generali: Description based upon print version of record.
Nota di contenuto: 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;
Sommario/riassunto: 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 bootstrap-based assessment of the performance of a sample-based discriminant rule and extensions of discriminant analysis motivated by problems in statistical image analysis.
Titolo abbreviato (Periodici): DISCRIMINANT ANALYSIS AND STATISTICAL PATTERN RECOGNITION
DISCRIMINANT ANALYSIS & STATISTICAL PATTERN RECOGNITION
Titolo autorizzato: Discriminant analysis and statistical pattern recognition  Visualizza cluster
ISBN: 9786610253012
0-471-72529-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910877253803321
Lo trovi qui: Univ. Federico II
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