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Record Nr. |
UNINA9910830949803321 |
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Autore |
McLachlan Geoffrey J. <1946-> |
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Titolo |
Finite mixture models [[electronic resource] /] / Geoffrey McLachlan, David Peel |
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Pubbl/distr/stampa |
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ISBN |
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1-280-26492-6 |
9786610264926 |
0-470-34190-4 |
0-471-65406-X |
0-471-72118-2 |
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Descrizione fisica |
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1 online resource (450 p.) |
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Collana |
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Wiley series in probability and statistics. Applied probability and statistics section |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Mixture distributions (Probability theory) |
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 bibliografia |
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Includes bibliographical references (p. 349-393) and indexes. |
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Nota di contenuto |
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Contents; Preface; 1 General Introduction; 2 ML Fitting of Mixture Models; 3 Multivariate Normal Mixtures; 4 Bayesian Approach to Mixture Analysis; 5 Mixtures with Nonnormal Components; 6 Assessing the Number of Components in Mixture Models; 7 Multivariate t Mixtures; 8 Mixtures of Factor Analyzers; 9 Fitting Mixture Models to Binned Data; 10 Mixture Models for Failure-Time Data; 11 Mixture Analysis of Directional Data; 12 Variants of the EM Algorithm for Large Databases; 13 Hidden Markov Models; Appendix: Mixture Software; References; Author Index; Subject Index |
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Sommario/riassunto |
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An up-to-date, comprehensive account of major issues in finite mixture modelingThis volume provides an up-to-date account of the theory and applications of modeling via finite mixture distributions. With an emphasis on the applications of mixture models in both mainstream analysis and other areas such as unsupervised pattern recognition, speech recognition, and medical imaging, the book |
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