mixture models di mclachlan geoffrey (29 risultati)

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.

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).

hardcover. Condizione: Very Good. Unmarked hardcover. Stock picture may differ. Owner's name inside front cover. Crease on corner of back cover.

hardcover. Condizione: Gut. 419 Seiten; 9780471006268.3 Gewicht in Gramm: 1.

Hardcover. Condizione: ex library-good. Statistics: textbooks and monographs. vol. 84. xi, 253 p. 24 cm. Numerous figures. Green hardcover. Spine faded to blue. Ex library with labels on spine and rear pastedown, ink stamps on top edge and title.

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.

hardcover. Condizione: Wie neu. minimale Lagerspuren am Buch, Inhalt einwandfrei und ungelesen 236031 Sprache: Englisch Gewicht in Gramm: 775.

hardcover. Condizione: As New. Unmarked hardcover.

Condizione: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:0824776917.

Condizione: Near fine. First Edition. Hardcover : pp. [vii] xxii, 419 [428] : dark blue covers, lettering in white. A very tight copy that has barely been opened, would be fine but for faint scratch to upper board.

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!

hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!

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.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In.

Hardcover. Condizione: new. Hardcover. 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. In a finite mixture model, the distribution of random quantity of interest is modeled as a mixture of a finite number of component distributions in varying proportions. The proportions are non--negative and sum to one. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: New. pp. xxii + 419 Illus.

Buch. Condizione: Neu. Neuware - Im hier beschriebenen Modell wird die Verteilung einer Zufallsgröße als Mischung einer endlichen Zahl von Komponentenverteilungen in verschiedenen Verhältnissen behandelt. Die Verhältnisse sind dabei nichtnegativ und summieren sich zu eins. Typische Einsatzgebiete dieses Ansatzes bestehen in Populationen heterogener Zusammensetzung, beispielsweise bei klinischen Versuchen oder Zuverlässigkeitsprüfungen in der Technik. Die Autoren legen Wert auf die praktischen Aspekte des Verfahrens; einschlägige Software läßt sich aus den Anhängen entnehmen. (12/00).

Condizione: New. pp. xxii + 419 Index.

Hardcover. Condizione: Brand New. 1st edition. 419 pages. 9.25x6.25x1.00 inches. In Stock.

Hardcover. Condizione: new. Hardcover. 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. In a finite mixture model, the distribution of random quantity of interest is modeled as a mixture of a finite number of component distributions in varying proportions. The proportions are non--negative and sum to one. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. Finite mixture models are typically used where the population being studied is heterogeneous in composition. This work aims to offer an up-to-date account of the major issues involved with finite modelling. There is a practical emphasis on the applications of mixture models. Series: Wiley Series in Probability and Statistics. Num Pages: 456 pages, references, indexes. BIC Classification: PBT; PDE; TBJ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 242 x 163 x 28. Weight in Grams: 762. . 2000. 1st Edition. Hardcover. . . . .

Hardcover. Condizione: new. Hardcover. 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. In a finite mixture model, the distribution of random quantity of interest is modeled as a mixture of a finite number of component distributions in varying proportions. The proportions are non--negative and sum to one. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condizione: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.

Condizione: New. Finite mixture models are typically used where the population being studied is heterogeneous in composition. This work aims to offer an up-to-date account of the major issues involved with finite modelling. There is a practical emphasis on the applications of mixture models. Series: Wiley Series in Probability and Statistics. Num Pages: 456 pages, references, indexes. BIC Classification: PBT; PDE; TBJ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 242 x 163 x 28. Weight in Grams: 762. . 2000. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Condizione: Fine. The book is in fine condition.