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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Interpolation of Spatial Data: Some Theory for Kriging (Springer Series in Statistics)

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