Model-based Geostatistics / Edition 1

Model-based Geostatistics / Edition 1

ISBN-10:
1441921931
ISBN-13:
9781441921932
Pub. Date:
12/01/2010
Publisher:
Springer New York
ISBN-10:
1441921931
ISBN-13:
9781441921932
Pub. Date:
12/01/2010
Publisher:
Springer New York
Model-based Geostatistics / Edition 1

Model-based Geostatistics / Edition 1

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Overview

This volume is the first book-length treatment of model-based geostatistics. The text is expository, 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' 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.


Product Details

ISBN-13: 9781441921932
Publisher: Springer New York
Publication date: 12/01/2010
Series: Springer Series in Statistics
Edition description: Softcover reprint of hardcover 1st ed. 2007
Pages: 232
Product dimensions: 6.10(w) x 9.10(h) x 0.70(d)

Table of Contents

An overview of model-based geostatistics.- Gaussian models for geostatistical data.- Generalized linear models for geostatistical data.- Classical parameter estimation.- Spatial prediction.- Bayesian inference.- Geostatistical design.
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