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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
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Añadir al carritoCondición: New. pp. xxvii + 359 Illus.
Librería: BennettBooksLtd, Los Angeles, CA, Estados Unidos de America
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Añadir al carritoCondición: New. pp. xxvii + 359 2nd Edition.
Idioma: Inglés
Publicado por John Wiley and Sons Ltd, 2008
ISBN 10: 0471201707 ISBN 13: 9780471201700
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Añadir al carritoCondición: New. Since its inception in 1977, the Expectation-Maximization (EM) algorithm has been the subject of intense scrutiny, dozens of applications, numerous extensions, and thousands of publications. The algorithm and its extensions are now standard tools applied to incomplete data problems in virtually every field in which statistical methods are used. Series: Wiley Series in Probability and Statistics. Num Pages: 400 pages, Illustrations. BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 237 x 163 x 28. Weight in Grams: 764. . 2008. 2nd Edition. Hardcover. . . . .
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Añadir al carritoGebunden. Condición: New. Geoffrey J. McLachlan, PhD, DSc, is Professor of Statistics in the Department of Mathematics at The University of Queensland, Australia. A Fellow of the American Statistical Association and the Australian Mathematical Society, he has published extensively o.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 2nd edition. 352 pages. 9.50x6.00x1.00 inches. In Stock.
Idioma: Inglés
Publicado por John Wiley and Sons Ltd, 2008
ISBN 10: 0471201707 ISBN 13: 9780471201700
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Añadir al carritoCondición: New. Since its inception in 1977, the Expectation-Maximization (EM) algorithm has been the subject of intense scrutiny, dozens of applications, numerous extensions, and thousands of publications. The algorithm and its extensions are now standard tools applied to incomplete data problems in virtually every field in which statistical methods are used. Series: Wiley Series in Probability and Statistics. Num Pages: 400 pages, Illustrations. BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 237 x 163 x 28. Weight in Grams: 764. . 2008. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.
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Añadir al carritoBuch. Condición: Neu. Neuware - The only single-source--now completely updated and revised--to offer a unified treatment of the theory, methodology, and applications of the EM algorithmComplete with updates that capture developments from the past decade, The EM Algorithm and Extensions, Second Edition successfully provides a basic understanding of the EM algorithm by describing its inception, implementation, and applicability in numerous statistical contexts. In conjunction with the fundamentals of the topic, the authors discuss convergence issues and computation of standard errors, and, in addition, unveil many parallels and connections between the EM algorithm and Markov chain Monte Carlo algorithms. Thorough discussions on the complexities and drawbacks that arise from the basic EM algorithm, such as slow convergence and lack of an in-built procedure to compute the covariance matrix of parameter estimates, are also presented.While the general philosophy of the First Edition has been maintained, this timely new edition has been updated, revised, and expanded to include:\*New chapters on Monte Carlo versions of the EM algorithm and generalizations of the EM algorithm\*New results on convergence, including convergence of the EM algorithm in constrained parameter spaces\*Expanded discussion of standard error computation methods, such as methods for categorical data and methods based on numerical differentiation\*Coverage of the interval EM, which locates all stationary points in a designated region of the parameter space\*Exploration of the EM algorithm's relationship with the Gibbs sampler and other Markov chain Monte Carlo methods\*Plentiful pedagogical elements-chapter introductions, lists of examples, author and subject indices, computer-drawn graphics, and a related Web siteThe EM Algorithm and Extensions, Second Edition serves as an excellent text for graduate-level statistics students and is also a comprehensive resource for theoreticians, practitioners, and researchers in the social and physical sciences who would like to extend their knowledge of the EM algorithm.
Librería: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Alemania
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Añadir al carritoCondición: gut. The EM Algorithm and Extensions (Wiley Series in Probability and Statistics) In deutscher Sprache. pages.
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Añadir al carritoHardcover. Condición: Like New. Like New. book.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 764.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, Chichester, 2008
ISBN 10: 0471201707 ISBN 13: 9780471201700
Librería: CitiRetail, Stevenage, Reino Unido
EUR 157,69
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Añadir al carritoHardcover. Condición: new. Hardcover. The only single-sourcenow completely updated and revisedto offer a unified treatment of the theory, methodology, and applications of the EM algorithm Complete with updates that capture developments from the past decade, The EM Algorithm and Extensions, Second Edition successfully provides a basic understanding of the EM algorithm by describing its inception, implementation, and applicability in numerous statistical contexts. In conjunction with the fundamentals of the topic, the authors discuss convergence issues and computation of standard errors, and, in addition, unveil many parallels and connections between the EM algorithm and Markov chain Monte Carlo algorithms. Thorough discussions on the complexities and drawbacks that arise from the basic EM algorithm, such as slow convergence and lack of an in-built procedure to compute the covariance matrix of parameter estimates, are also presented. While the general philosophy of the First Edition has been maintained, this timely new edition has been updated, revised, and expanded to include: New chapters on Monte Carlo versions of the EM algorithm and generalizations of the EM algorithm New results on convergence, including convergence of the EM algorithm in constrained parameter spaces Expanded discussion of standard error computation methods, such as methods for categorical data and methods based on numerical differentiation Coverage of the interval EM, which locates all stationary points in a designated region of the parameter space Exploration of the EM algorithm's relationship with the Gibbs sampler and other Markov chain Monte Carlo methods Plentiful pedagogical elementschapter introductions, lists of examples, author and subject indices, computer-drawn graphics, and a related Web site The EM Algorithm and Extensions, Second Edition serves as an excellent text for graduate-level statistics students and is also a comprehensive resource for theoreticians, practitioners, and researchers in the social and physical sciences who would like to extend their knowledge of the EM algorithm. Since its inception in 1977, the Expectation-Maximization (EM) algorithm has been the subject of intense scrutiny, dozens of applications, numerous extensions, and thousands of publications. The algorithm and its extensions are now standard tools applied to incomplete data problems in virtually every field in which statistical methods are used. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 194,95
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Añadir al carritoHardcover. Condición: Brand New. 2nd edition. 352 pages. 9.50x6.00x1.00 inches. In Stock. This item is printed on demand.