Multilevel Statistical Models by Harvey Goldstein
(Wiley Series in Probability and Statistics)

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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.


About Harvey Goldstein

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References Index Harvey Goldstein is the Professor of Statistical Methods at the Institute of Education, University of London. He was previously Head of the Statistics Section at the National Children's Bureau. He has published widely on survey methodology and the design and analysis of longitudinal studies. Professor Goldstein is a Fellow of the Royal Statistical Society, a Chartered Statistician and an elected Member of the International Statistical Institute. Toby Lewis is the Director of the Centre for Statistics, University of East Anglia and Emeritus Professor of Statistics at the Open University, where he was Professor of Statistics from 1980 to 1986. He was previously Professor of Mathematical Statistics at the University of Hull. Professor Lewis is a Fellow of the Royal Statistical Society, a Chartered Statistician, and an elected Member of the International Statistical Institute.
Published July 8, 2011 by Wiley. 384 pages
Genres: Nature & Wildlife, Science & Math, Professional & Technical, Political & Social Sciences, Education & Reference, Computers & Technology. Non-fiction

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