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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.

By: Banerjee, Sudipto.
Contributor(s): Carlin, Bradley P | Gelfand, Alan E, 1945-.
Material type: materialTypeLabelBookSeries: Monographs on statistics and applied probability (Series): 135.Publisher: Boca Raton : CRC Press, Taylor & Francis Group, [2015]Edition: Second edition.Description: xxi, 562 pages : illustrations (some color) ; 26 cm.ISBN: 9781439819173; 1439819173.Subject(s): SPATIAL ANALYSIS | STATISTICS | MATHEMATICAL MODELSHoldings: GRETA POINT: 519.2 BAN
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.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
BOOK BOOK WELLINGTON BOOKS 519.2 BAN 1 Available B018367

"A Chapman & Hall book."

Includes bibliographical references (pages 529-558) and index.

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.

GRETA POINT: 519.2 BAN

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