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Multilevel Statistical Models

H. Goldstein

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John Wiley & Sons img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik

Beschreibung

Throughout the social, medical and other sciences the importance ofunderstanding complex hierarchical data structures is wellunderstood. Multilevel modelling is now the accepted statisticaltechnique for handling such data and is widely available incomputer software packages. A thorough understanding of thesetechniques is therefore important for all those working in theseareas. This new edition of Multilevel Statistical Models bringsthese techniques together, starting from basic ideas andillustrating how more complex models are derived. Bayesianmethodology using MCMC has been extended along with new material onsmoothing models, multivariate responses, missing data, latentnormal transformations for discrete responses, structural equationmodeling and survival models. Key Features: * Provides a clear introduction and a comprehensive account ofmultilevel models. * New methodological developments and applications areexplored. * Written by a leading expert in the field of multilevelmethodology. * Illustrated throughout with real-life examples, explainingtheoretical concepts. This book is suitable as a comprehensive text for postgraduatecourses, as well as a general reference guide. Appliedstatisticians in the social sciences, economics, biological andmedical disciplines will find this book beneficial.

Rezensionen

(Zentralblatt MATH, 1December 2013)
"This book is suitable as a comprehensive text forpostgraduate courses, as well as a general reference guide. Appliedstatisticians in the social sciences, economics, biological andmedical disciplines will find this book beneficial. See the reviewof the third edition."
(Journal ofBiopharmaceutical Statistics (JBS), 2012)
"This book would also serve as an outstanding general referenceon multilevel models, since it offers concise and easy to followdescriptions of the various multilevel models and theirapplications, in addition to the references on which this work isbased. I really enjoyed reading this book, and am sure that otherswill have a similar pleasurable experience."
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Schlagwörter

Angewandte Wahrscheinlichkeitsrechnung u. Statistik, Modell (Math.), Applied Probability & Statistics - Models, Biostatistik, Statistics, Angew. Wahrscheinlichkeitsrechn. u. Statistik / Modelle, Biostatistics, Applied Probability & Statistics, Statistik