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1st edition. 419 pages. 9.25x6.25x1.00 inches. In Stock. Codice articolo 0471006262
An up-to-date, comprehensive account of major issues in finite mixture modeling
This 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 describes the formulations of the finite mixture approach, details its methodology, discusses aspects of its implementation, and illustrates its application in many common statistical contexts.
Major issues discussed in this book include identifiability problems, actual fitting of finite mixtures through use of the EM algorithm, properties of the maximum likelihood estimators so obtained, assessment of the number of components to be used in the mixture, and the applicability of asymptotic theory in providing a basis for the solutions to some of these problems. The author also considers how the EM algorithm can be scaled to handle the fitting of mixture models to very large databases, as in data mining applications. This comprehensive, practical guide:
* Provides more than 800 references-40% published since 1995
* Includes an appendix listing available mixture software
* Links statistical literature with machine learning and pattern recognition literature
* Contains more than 100 helpful graphs, charts, and tables
Finite Mixture Models is an important resource for both applied and theoretical statisticians as well as for researchers in the many areas in which finite mixture models can be used to analyze data.
Informazioni sull?autore:
GEOFFREY McLACHLAN, PhD, DSc, is Professor in the Department of Mathematics at the University of Queensland, Australia.
DAVID PEEL, PhD, is a research fellow in the Department of Mathematics at the University of Queensland, Australia.
Titolo: Finite Mixture Models (Wiley Series in ...
Casa editrice: Wiley-Interscience
Data di pubblicazione: 2000
Legatura: Hardcover
Condizione: Brand New
Da: Studibuch, Stuttgart, Germania
hardcover. Condizione: Gut. 419 Seiten; 9780471006268.3 Gewicht in Gramm: 1. Codice articolo 834866
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Da: HPB-Red, Dallas, TX, U.S.A.
Hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Codice articolo S_380619012
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Da: My Dead Aunt's Books, Hyattsville, MD, U.S.A.
hardcover. Condizione: Very Good. Unmarked hardcover. Stock picture may differ. Owner's name inside front cover. Crease on corner of back cover. Codice articolo 108411
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Da: SecondSale, Montgomery, IL, U.S.A.
Condizione: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Codice articolo 00030322519
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Da: Zoom Books East, Glendale Heights, IL, U.S.A.
Condizione: good. Book is in good condition and may include underlining highlighting and minimal wear. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service. Codice articolo ZEV.0471006262.G
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Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Hardcover. Condizione: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.7. Codice articolo G0471006262I4N10
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Da: Leopolis, Kraków, Polonia
Hardcover. Condizione: Very Good. 8vo (24 cm), XXII, 419, [9] pp. Publisher's cloth (corners slightly scuffed, a label and canceled stamp of an institutional library on the verso of the title page). "An up-to-date, comprehensive account of major issues in finite mixture modeling. This volume provides a current and detailed overview of the theory and applications of modeling via finite mixture distributions. Emphasizing the use of mixture models in both mainstream analysis and specialized fields such as unsupervised pattern recognition, speech recognition, and medical imaging, the book describes the formulations of the finite mixture approach, details its methodology, discusses aspects of its implementation, and illustrates its application in many common statistical contexts. Major topics discussed include identifiability problems, the fitting of finite mixtures using the EM algorithm, properties of the maximum likelihood estimators obtained through this method, assessment of the number of components in the mixture, and the applicability of asymptotic theory in solving related challenges. The author also explores how the EM algorithm can be scaled to accommodate the fitting of mixture models to very large datasets, such as those encountered in data mining applications." (from the publisher's description). Codice articolo 009089
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Da: BookOrders, Russell, IA, U.S.A.
Hard Cover. Condizione: Good. No Jacket. Ex-library with the usual features. The pages are clean and tight. Binding and cover are good. 419 numbered pages. Ex-Library. Codice articolo 122439x
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Da: Modernes Antiquariat an der Kyll, Lissendorf, Germania
hardcover. Condizione: Wie neu. minimale Lagerspuren am Buch, Inhalt einwandfrei und ungelesen 236031 Sprache: Englisch Gewicht in Gramm: 775. Codice articolo 219055
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Da: Magus Books Seattle, Seattle, WA, U.S.A.
Hardcover. Condizione: VG. used hardcover copy in illustrated boards, no jacket, as issued. light shelfwear, corners perhaps slightly bumped. pages and binding are clean, straight and tight. there are no marks to the text or other serious flaws. Codice articolo 1274585
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