Multilevel Statistical Models

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9780470748657: Multilevel Statistical Models

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.

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From the Publisher:

Goldstein integrates existing statistical methodologies within a consistent terminology and avoids undue statistical complexity. He explains a number of new developments, particularly in the areas of discrete response data, random cross classifications, time series and nonlinear models, measurement errors and missing data. Numerous examples and diagrams illustrate the applications of techniques and methodological derivations are included in the appendices.

About the Author:

Harvey Goldstein, FBA is Director of the International Centre for Research on Assessment, Institute of Education, London, UK.

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Book Description John Wiley and Sons Ltd, United States, 2010. Hardback. Book Condition: New. 4th Revised edition. Language: English . Brand New Book. 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. Bookseller Inventory # AAH9780470748657

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Book Description John Wiley and Sons Ltd, United States, 2010. Hardback. Book Condition: New. 4th Revised edition. Language: English . Brand New Book. 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. Bookseller Inventory # AAH9780470748657

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Book Description John Wiley and Sons Ltd, 2010. Book Condition: New. 2010. 4th Edition. Hardcover. 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. Series: Wiley Series in Probability and Statistics. Num Pages: 384 pages, Illustrations. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 158 x 236 x 25. Weight in Grams: 686. . . . . . . Bookseller Inventory # V9780470748657

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Book Description John Wiley and Sons Ltd. Book Condition: New. 2010. 4th Edition. Hardcover. 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. Series: Wiley Series in Probability and Statistics. Num Pages: 384 pages, Illustrations. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 158 x 236 x 25. Weight in Grams: 686. . . . . . Books ship from the US and Ireland. Bookseller Inventory # V9780470748657

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