Hierarchical Modeling and Analysis for Spatial Data Export

@book{Banerjee04, abstract = {Among the many uses of hierarchical modeling, their application to thestatistical analysis of spatial and spatio-temporal data from areas such asepidemiology And environmental science has proven particularly fruitful. Yetto date, the few books that address the subject have been either too narrowlyfocused on specific aspects of spatial analysis, or written at a level ofteninaccessible to those lacking a strong background in mathematicalstatistics.Hierarchical Modeling and Analysis for Spatial Data is the firstaccessible, self-contained treatment of hierarchical methods, modeling, anddata analysis for spatial and spatio-temporal data. Starting with overviews ofthe types of spatial data, the data analysis tools appropriate for each, and abrief review of the Bayesian approach to statistics, the authors discusshierarchical modeling for univariate spatial response data, including Bayesiankriging and lattice (areal data) modeling. They then consider the problem ofspatially misaligned data, methods for handling multivariate spatialresponses, spatio-temporal models, and spatial survival models. The finalchapter explores a variety of special topics, including spatially varyingcoefficient models.This book provides clear explanations, plentifulillustrations --some in full color--a variety of homework problems, andtutorials and worked examples using some of the field's most popular softwarepackages.. Written by a team of leaders in the field, it will undoubtedlyremain the primary textbook and reference on the subject for years to come.}, author = {Banerjee, Sudipto and Carlin, Bradley P. and Gelfand, Alan E.}, citeulike-article-id = {510734}, citeulike-linkout-0 = {http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&path=ASIN/158488410X}, citeulike-linkout-1 = {http://www.amazon.de/exec/obidos/redirect?tag=citeulike01-21&path=ASIN/158488410X}, citeulike-linkout-2 = {http://www.amazon.fr/exec/obidos/redirect?tag=citeulike06-21&path=ASIN/158488410X}, citeulike-linkout-3 = {http://www.amazon.jp/exec/obidos/ASIN/158488410X}, citeulike-linkout-4 = {http://www.amazon.co.uk/exec/obidos/ASIN/158488410X/citeulike00-21}, citeulike-linkout-5 = {http://www.amazon.com/exec/obidos/redirect?tag=citeulike07-20&path=ASIN/158488410X}, citeulike-linkout-6 = {http://www.worldcat.org/isbn/158488410X}, citeulike-linkout-7 = {http://books.google.com/books?vid=ISBN158488410X}, citeulike-linkout-8 = {http://www.amazon.com/gp/search?keywords=158488410X&index=books&linkCode=qs}, citeulike-linkout-9 = {http://www.librarything.com/isbn/158488410X}, day = {17}, edition = {1}, howpublished = {Hardcover}, isbn = {158488410X}, keywords = {2004, bayesian, models, space-time, spatial\_dependence, spatiotemporal, statistics, tesis}, posted-at = {2009-08-06 11:03:36}, priority = {3}, publisher = {Chapman \& Hall/CRC}, series = {Monographs on Statistics and Applied Probability}, title = {Hierarchical Modeling and Analysis for Spatial Data}, url = {http://www.amazon.com/exec/obidos/redirect?tag=citeulike07-20&path=ASIN/158488410X}, year = {2004} }

TY - BOOK ID - Banerjee04 L3 - citeulike-article-id:510734 N2 - Among the many uses of hierarchical modeling, their application to thestatistical analysis of spatial and spatio-temporal data from areas such asepidemiology And environmental science has proven particularly fruitful. Yetto date, the few books that address the subject have been either too narrowlyfocused on specific aspects of spatial analysis, or written at a level ofteninaccessible to those lacking a strong background in mathematicalstatistics.Hierarchical Modeling and Analysis for Spatial Data is the firstaccessible, self-contained treatment of hierarchical methods, modeling, anddata analysis for spatial and spatio-temporal data. Starting with overviews ofthe types of spatial data, the data analysis tools appropriate for each, and abrief review of the Bayesian approach to statistics, the authors discusshierarchical modeling for univariate spatial response data, including Bayesiankriging and lattice (areal data) modeling. They then consider the problem ofspatially misaligned data, methods for handling multivariate spatialresponses, spatio-temporal models, and spatial survival models. The finalchapter explores a variety of special topics, including spatially varyingcoefficient models.This book provides clear explanations, plentifulillustrations --some in full color--a variety of homework problems, andtutorials and worked examples using some of the field's most popular softwarepackages.. Written by a team of leaders in the field, it will undoubtedlyremain the primary textbook and reference on the subject for years to come. SE - Monographs on Statistics and Applied Probability SN - 158488410X TI - Hierarchical Modeling and Analysis for Spatial Data PB - Chapman & Hall/CRC KW - 2004 KW - bayesian KW - models KW - space-time KW - spatial_dependence KW - spatiotemporal KW - statistics KW - tesis AU - Banerjee, Sudipto AU - Carlin, Bradley AU - Gelfand, Alan PY - 2004//17/ UR - http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&path=ASIN/158488410X ER -