Model-based Geostatistics (Springer Series in Statistics)
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Publication
2007-03-12 - Springer
Language
English
Word Count
60,250 words, Guess
Page Count
241 pages
Identifiers
- Internet Archivemodelbasedgeosta00digg_948
- Internet Archivemodelbasedgeosta00digg
- Internet Archivemodelbasedgeosta00digg_148
- Internet Archivemodelbasedgeosta00digg_048
- Internet Archivemodelbasedgeosta0000digg
and 9 more
- Internet Archivebayesiancomputat00jima
- ISBN-100387329072
- ISBN-139780387329079
- LibraryThing3364866
- Goodreads1873943
- Library of Congress Control Number2006927417
- OCLC Control Number71284654
- Better World Books9780387329079
- Open LibraryOL7445442M
Classifications
- LCCQE33.2.S82 D54 2007
- LCCG1-922
Description
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.
Subjects
Other Editions
- Model-based Geostatistics (Springer Series in Statistics)
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