Multivariate Geostatistical Models: Inference and Computation (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Multivariate Geostatistical Models: Inference and Computation (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by Hao Zhang

ISBN10: 1584886994
ISBN13: 978-1584886990
Author: Hao Zhang
Title: Multivariate Geostatistical Models: Inference and Computation (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
Publisher: Chapman and Hall/CRC; 1 edition (June 15, 2014)
Language: English
Size ePub: 1733 kb
Size PDF: 1329 kb
Rating: 4.0/5
Votes: 285
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Subcategory: Mathematics

Multivariate Geostatistical Models: Inference and Computation (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by Hao Zhang



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.

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