Multivariate Geostatistical Models

Multivariate Geostatistical Models : Inference and Computation

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Description

Multivariate geostatistical data involves the observation of two or more spatial processes at spatial and/or temporal points. The objective of such analysis is to estimate the correlation or dependence structure between the multiple variable or to predict the multiple variable at unsampled locations. Multivariate Geostatistical Models provides complete coverage of all key topics in this area, including modeling and estimating the multivariate covariogram, multivariate spatial generalized linear mixed models, and multivariate non-Gaussian models. Illustrated with detailed worked examples from a range of disciplines, the book implements methods using Markov chain Monte Carlo (MCMC) simulation for Bayesian inference.show more

Product details

  • Hardback | 320 pages
  • 167.6 x 242.9 x 19mm | 788g
  • Taylor & Francis Inc
  • Chapman & Hall/CRC
  • United States
  • English
  • New ed.
  • 20 black & white illustrations
  • 1584886994
  • 9781584886990

About Hao Zhang

Purdue University, West Lafayette, Indiana, USAshow more

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