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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.
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Subjects
Statistical methods, Mathematical models, Geology, Geology, statistical methods, Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences, Statistical Theory and Methods, Math. Applications in Geosciences, Earth sciences, Statistics, Mathematical statistics, GeostatistikEdition | Availability |
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Model-based Geostatistics (Springer Series in Statistics)
March 12, 2007, Springer
in English
0387329072 9780387329079
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- Created April 29, 2008
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June 6, 2025 | Edited by MARC Bot | import existing book |
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