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Multivariate Geostatistical Models

Inference and Computation

By: Hao Zhang

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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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ISBN: 9781584886990
ISBN-10: 1584886994
Series: Candh/Crc Monographs on Statistics and Applied Probabi
Audience: Professional
Format: Hardcover
Language: English
Available: 15th June 2014
Publisher: CRC PR INC
Dimensions (cm): 23.5 x 15.6