Model-based Geostatistics

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181,89 

Springer Series in Statistics

ISBN: 0387329072
ISBN 13: 9780387329079
Autor: Diggle, Peter/Ribeiro, Paulo Justiniano
Verlag: Springer Verlag GmbH
Umfang: xiv, 232 S.
Erscheinungsdatum: 12.03.2007
Auflage: 1/2007
Format: 1.5 x 24.2 x 16
Gewicht: 472 g
Produktform: Gebunden/Hardback
Einband: Gebunden
Artikelnummer: 1055774 Kategorie:

Beschreibung

This volume is the first book-length treatment of model-based geostatistics. Geostatistics is concerned with estimation and prediction problems for spatially continuous phenomena, using data obtained at a limited number of spatial locations. Model-based geostatistics refers to the application of general statistical principles of modeling and inference to geostatistical problems. 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.

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E-Mail: juergen.hartmann@springer.com

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