Hierarchical modeling and analysis for spatial data

Hierarchical modeling and analysis for spatial data

Among the many uses of hierarchical modeling, their application to the statistical analysis of spatial and spatio-temporal data from areas such as epidemiology And environmental science has proven particularly fruitful. Yet to date, the few books that address the subject have been either too narrowl...

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Détails bibliographiques
Auteurs principaux : Banerjee Sudipto (Auteur), Carlin Bradley P. (Auteur), Gelfand Alan E. (Auteur)
Format : Livre
Langue : anglais
Titre complet : Hierarchical modeling and analysis for spatial data / Sudipto Banerjee, Bradley P. Carlin, Alan E. Gelfand
Publié : Boca Raton (Fla.), London, New York [etc] : Chapman & Hall/CRC , cop. 2004
Description matérielle : 1 vol. (XVII-452 p.)
Collection : Monographs on statistics and applied probability ; 101
Sujets :
Analyse spatiale (statistique) > Modèles mathématiques
Statistique bayésienne
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330 |a Among the many uses of hierarchical modeling, their application to the statistical analysis of spatial and spatio-temporal data from areas such as epidemiology And environmental science has proven particularly fruitful. Yet to date, the few books that address the subject have been either too narrowly focused on specific aspects of spatial analysis, or written at a level often inaccessible to those lacking a strong background in mathematical statistics. Hierarchical Modeling and Analysis for Spatial Data is the first accessible, self-contained treatment of hierarchical methods, modeling, and data analysis for spatial and spatio-temporal data. Starting with overviews of the types of spatial data, the data analysis tools appropriate for each, and a brief review of the Bayesian approach to statistics, the authors discuss hierarchical modeling for univariate spatial response data, including Bayesian kriging and lattice (areal data) modeling. They then consider the problem of spatially misaligned data, methods for handling multivariate spatial responses, spatio-temporal models, and spatial survival models. The final chapter explores a variety of special topics, including spatially varying coefficient models. This book provides clear explanations, plentiful illustrations, some in full color, a variety of homework problems, and tutorials and worked examples using some of the field's most popular software packages. Written by a team of leaders in the field, it will undoubtedly remain the primary textbook and reference on the subject for years to come 
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