Monographs on Statistics and Applied Probability: Hierarchical Modeling and Analysis for Spatial Data (Volume 101)

Banerjee, S. et al

ISBN 10: 158488410X / ISBN 13: 9781584884101

Edité par Chapman And Hall, 2004

A propos de cet article

Volume 101. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:9781584884101. N° de réf. du vendeur 9899629

Détails bibliographiques

Titre : Monographs on Statistics and Applied ...

Éditeur : Chapman And Hall

Date d'édition : 2004

Reliure : Couverture rigide

Etat : Good

A propos de ce titre

Synopsis :

Book by Banerjee Sudipto Gelfand Alan E Carlin Bradley P

Présentation de l'éditeur:

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.