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Title Details
Hierarchical Modeling and Analysis for Spatial Data
Sudipto Banerjee, University of Minnesota
Bradley P Carlin, University of Minnesota, Minneapolis, Minnesota, USA
Alan E Gelfand, Duke University
Imprint: Chapman & Hall / CRC
Engineering

  • A textbook format ideally suited for use as a graduate text in spatial statistics or as a supplementary text for lower-level course in spatial statistics or Bayesian statistics
  • Summaries of analysis methods for spatial data and Bayesian techniques and computing
  • A team of authors who are leading researchers in the field
  • Applications in epidemiology, public health, geography, and environmental science
This is the first practical treatment of Bayesian methods, modeling, and data analysis focused specifically on spatial and spatio-temporal data. Written by pre-eminent researchers in the field, it covers state-of-the-art methods for hierarchical modeling of spatial data sets, but for the uninitiated, includes gentle overviews of both spatial data analysis methods and Bayesian methodology and computing. Each chapter contains exercises, and a partial solution list is provided in an appendix. Sample WinBUGS code supporting many of the problems is available for download from the Internet.

Table of Contents
Book Hierarchical Modeling and Analysis for Spatial Data

$102.00  
Format Hardcover
Medium Paper
ISBN 158488410X
Copyright Year 2003
Length 464 Pages
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