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Princeton University Library Catalog
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Hierarchical modeling and analysis for spatial data / Sudipto Banerjee, Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, USA, Bradley P. Carlin, Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, USA, Alan E. Gelfand, Department of Statistical Science, Duke University, Durham, North Carolina, USA.
Author
Banerjee, Sudipto
[Browse]
Format
Book
Language
English
Εdition
Second edition.
Published/Created
Boca Raton : CRC Press, Taylor & Francis Group, [2015]
©2015
Description
xxi, 562 pages : illustrations (some color) ; 26 cm
Availability
Copies in the Library
Location
Call Number
Status
Location Service
Notes
Firestone Library - Stacks
QA278.2 .B36 2015
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Details
Subject(s)
Spatial analysis (Statistics)
—
Mathematical models
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Public health
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Multivariate analysis
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Longitudinal method
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Related name
Carlin, Bradley P.
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Gelfand, Alan E., 1945-
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Series
Monographs on statistics and applied probability (Series) ; 135.
[More in this series]
Monographs on statistics and applied probability ; 135
Notes
"A Chapman & Hall book."
Bibliographic references
Includes bibliographical references (pages 529-558) and index.
Contents
Overview of spatial data problems
Basics of point-referenced data models
Some theory for point-referenced data models
Basics for areal data models
Basics for Bayesian inference
Hierarchical modeling for univariate spatial data
Spatial misalignment
Modeling and analysis for point patterns
multivariate spatial modeling for point-referenced data
Models for multivariate areal data
Spatiotemporal modeling
Modeling large spatial and spatiotemporal datasets
Spatial gradients and wombling
Spatial survival models
Special topics in spatial process modeling.
Show 12 more Contents items
ISBN
9781439819173 ((hbk.))
1439819173 ((hbk.))
LCCN
2014451631
OCLC
910621383
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