9780387329079 - Model-based Geostatistics (springer Series in Statistics) by Diggle, Peter; Ribeiro, Paulo Justiniano (21 results)
Language: English
Published by Springer, 2007
- Hardcover
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hardcover. Condition: Very Good.
Language: English
Published by Springer, 2007
- Hardcover
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hardcover. Condition: Good.
Language: English
Published by Springer, 2007
- Hardcover
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Language: English
Published by Springer, 2007
- Hardcover
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Language: English
Published by Springer, 2007
- Hardcover
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Condition: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,550grams, ISBN:9780387329079.
Language: English
Published by Springer, 2007
- Hardcover
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Language: English
Published by Springer, 2007
- Hardcover
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Condition: Used. pp. 248, Maps.
Language: English
Published by Springer, 2007
- Hardcover
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Condition: Used. pp. 248 Illus., Maps.
Language: English
Published by Springer, 2007
- Hardcover
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Condition: Used. pp. 248.
Language: English
Published by Springer, 2007
- Hardcover
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Language: English
Published by Springer, 2007
- Hardcover
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title.
Language: English
Published by Springer, 2007
- Hardcover
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Language: English
Published by Springer, 2007
- Hardcover
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Language: English
Published by Springer, 2007
- Hardcover
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Language: English
Published by Springer, 2007
- Hardcover
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Language: English
Published by Springer, 2007
- Hardcover
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Language: English
Published by Springer-Verlag New York Inc., US, 2007
- Hardcover
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Hardback. Condition: New. 2007 ed. 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 o…f 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.
Language: English
Published by Springer Nature B.V., 2007
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 wi…de 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 previous exposure to spatial statistical models or methods. The authors have used the material in MSc-level statistics courses.
Language: English
Published by Springer-Verlag New York Inc., US, 2007
- Hardcover
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Hardback. Condition: New. 2007 ed.
Language: English
Published by Springer New York, 2007
- Hardcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 numb…er of spatial locations. Model-based .
Language: English
Published by Springer New York Mrz 2007, 2007
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 previous exposure to spatial statistical models or methods. The authors have used the material in MSc-level statistics courses. 232 pp. Englisch.
