ISBN: 9780471006268 - finite mixture models: 299 (wiley series in probability and statistics) (24 resultados)

Hardback. Condición: Good. 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.…

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Hardcover. Condición: 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.

Condición: acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may be missing bundled media.

Hardback. Condición: Good. 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.…

Hard Cover. Condición: 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.

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Hardcover. Condición: 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. Condición: New. In shrink wrap. Looks like an interesting title.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

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

Condición: As New. Unread book in perfect condition.

Condición: New. pp. xxii + 419 Illus.

Condición: New. This is an excellent book. I enjoyed reading this book. I recommend it highly to both mathematical and applied statisticians. (Technometrics, February 2002) This book will become popular to many researchers.the material covered is so wide that it wil.

Condición: 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. . . . . …

Condición: New. In English.

Condición: New. pp. xxii + 419 Index.

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

Buch. Condición: Neu. Neuware - 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 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 tablesFinite 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.; 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).…

Condición: 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. …