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A summary of past work and a description of new approaches to thinking about kriging, commonly used in the prediction of a random field based on observations at some set of locations in mining, hydrology, atmospheric sciences, and geography.
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Michael L. Stein is Professor of Statistics at the University of Chicago.
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"the book is written with great care and dedication. Soil geostatisticians that are not easily scared off by mathematics will find this book to be a rich source of inspiration for many years to come."
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- PublisherSpringer
- Publication date1999
- ISBN 10 0387986294
- ISBN 13 9780387986296
- BindingHardcover
- Number of pages266
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Interpolation of Spatial Data : Some Theory for Kriging
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Interpolation of Spatial Data: Some Theory for Kriging (Springer Series in Statistics)
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Interpolation of Spatial Data
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Book Description Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Prediction of a random field based on observations of the random field at some set of locations arises in mining, hydrology, atmospheric sciences, and geography. Kriging, a prediction scheme defined as any prediction scheme that minimizes mean squared prediction error among some class of predictors under a particular model for the field, is commonly used in all these areas of prediction. This book summarizes past work and describes new approaches to thinking about kriging. 276 pp. Englisch. Seller Inventory # 9780387986296
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Interpolation of Spatial Data: Some Theory for Kriging
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Interpolation of Spatial Data
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Book Description Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A summary of past work and a description of new approaches to thinking about kriging, commonly used in the prediction of a random field based on observations at some set of locations in mining, hydrology, atmospheric sciences, and geography.|Prediction of a. Seller Inventory # 5913415
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Interpolation of Spatial Data: Some Theory for Kriging (Springer Series in Statistics)
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