Multilevel Statistical Models 4e: 847 (Wiley Series in Probability and Statistics) - Hardcover

Goldstein

Hardcover

ISBN 10: 0470748656 ISBN 13: 9780470748657

Verlag: John Wiley & Sons, 2010

Inhaltsangabe

Páginas:384Géneros:12:PBT:Probability&statisticsSinopsis:

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Críticas

This book is suitable as a comprehensive text for postgraduate courses, as well as a general reference guide. Applied statisticians in the social sciences, economics, biological and medical disciplines will find this book beneficial. See the review of the third edition. (Zentralblatt MATH, 1 December 2013) "This book would also serve as an outstanding general reference on multilevel models, since it offers concise and easy to follow descriptions of the various multilevel models and their applications, in addition to the references on which this work is based. I really enjoyed reading this book, and am sure that others will have a similar pleasurable experience." (Journal of Biopharmaceutical Statistics (JBS), 2012)

Reseña del editor

Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. A thorough understanding of these techniques is therefore important for all those working in these areas. This new edition of Multilevel Statistical Models brings these techniques together, starting from basic ideas and illustrating how more complex models are derived. Bayesian methodology using MCMC has been extended along with new material on smoothing models, multivariate responses, missing data, latent normal transformations for discrete responses, structural equation modeling and survival models. Key Features: * Provides a clear introduction and a comprehensive account of multilevel models. * New methodological developments and applications are explored. * Written by a leading expert in the field of multilevel methodology. * Illustrated throughout with real-life examples, explaining theoretical concepts. This book is suitable as a comprehensive text for postgraduate courses, as well as a general reference guide. Applied statisticians in the social sciences, economics, biological and medical disciplines will find this book beneficial.

Details zur Ausgabe

• Verlag: John Wiley & Sons
• Erscheinungsdatum: 2010
• ISBN 10: 0470748656
• ISBN 13: 9780470748657
• Einband: Tapa dura
• Sprache: Englisch
• Auflage: 4
• Anzahl der Seiten: 384