Interpolation of Spatial Data: Some Theory for Kriging (Springer Series in Statistics) - Hardcover
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Synopsis
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.
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About the Author
Michael L. Stein is Professor of Statistics at the University of Chicago.
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INTERPOLATION OF SPATIAL DATA (EN INGLÉS)(TAPA DURA)
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Rústica. Condition: Muy Bien. Dust Jacket Condition: Muy Bien. 1. 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. LIBRO. Seller Inventory # 144927
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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: Some Theory for Kriging (Springer Series in Statistics)
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Interpolation of Spatial Data: Some Theory for Kriging (Springer Series in Statistics)
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Interpolation of Spatial Data: Some Theory for Kriging (Springer Series in Statistics)
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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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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