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Model-based Geostatistics (Springer Series in Statistics) by Peter J. Diggle, Paulo Justiniano Ribeiro, Peter Diggle is a nonfiction available to read on EtoBox.

What is Model-based Geostatistics (Springer Series in Statistics) about?

Geostatistics is concerned with estimation and prediction problems for spatially continuous phenomena, using data obtained at a limited number of spatial locations. The name reflects its origins in mineral exploration, but the methods are now used in a wide range of settings including public health and the physical and environmental sciences. Model-based geostatistics refers to the application of general statistical principles of modeling and inference to geostatistical problems. This volume is the first book-length treatment of model-based geostatistics. The authors have written an expository text, emphasizing statistical methods and applications rather than the underlying mathematical theory. Analyses of datasets from a range of scientific contexts feature prominently, and simulations are used to illustrate theoretical results. Readers can reproduce most of the computational results in the book by using the authors'R-based software package, geoR, whose usage is illustrated in a computation section at the end of each chapter. The book assumes a working knowledge of classical and Bayesian methods of inference, linear models, and generalized linear models, but does not require previ

Who reads Model-based Geostatistics (Springer Series in Statistics)?

Author

Peter J. Diggle, Paulo Justiniano Ribeiro, Peter Diggle

Publisher

Springer US

Published

2007

Language

EN

ISBN

9780387329079

Category

nonfiction

Subjects

Science, Mathematics, Anthropology