Average Reviews:
(More customer reviews)This is a chatty discussion of mathematical techniques for analyzing sampled spatially distributed data.
I found it quite accessible. It included advances in classical techniques occurring since I last studied geostatistics. The issue of estimating extremes is openly discussed if not completely laid to rest.
Bottom line: I liked it and found it useful.
Click Here to see more reviews about: Statistical Analysis of Environmental Space-Time Processes (Springer Series in Statistics)
This book provides a broad introduction to the subject of environmental space-time processes, addressing the role of uncertainty. It covers a spectrum of technical matters from measurement to environmental epidemiology to risk assessment. It showcases non-stationary vector-valued processes, while treating stationarity as a special case. In particular, with members of their research group the authors developed within a hierarchical Bayesian framework, the new statistical approaches presented in the book for analyzing, modeling, and monitoring environmental spatio-temporal processes. Furthermore they indicate new directions for development.
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