Binding tight, pages crisp and clean, no markings found. Covers bright and shiny with very light scuffs and dents. Extremities lightly bumped with minimal tip wear.

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Bibliographic Details

Title: Interpolation of Spatial Data: Some Theory for Kriging (Springer Series in Statistics)
Publisher: Springer
Publication Date: 1999
Language: English
ISBN 10: 0387986294
ISBN 13: 9780387986296
Binding: HARDCOVER
Condition: VG

About this title

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.

About the Author

Michael L. Stein is Professor of Statistics at the University of Chicago.

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