Artículo: AMZ-B005CPJW4I

Multilevel Statistical Models (Wiley Series in Probability and Statistics Book 923)

Format:

eTextbook

Hardcover

eTextbook

Detalles del producto

Disponibilidad
En stock

Peso con empaque
0.20 kg

Devolución
No

Condición
Nuevo

Producto de
Amazon

Viaja desde
USA

Sobre este producto

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.