Interpolation of Spatial Data: Some Theory for Kriging

Front Cover
Springer Science & Business Media, Jun 22, 1999 - Mathematics - 247 pages
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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Contents

II
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III
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IX
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LXXXIX
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XCV
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XCVII
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XXX
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XXXIX
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XLI
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L
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LIII
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LIX
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LXV
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LXXX
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LXXXVII
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LXXXVIII
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XCVIII
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XCIX
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C
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CI
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CII
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CV
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CVI
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CVIII
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CIX
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CX
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CXXX
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CXXXI
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CXXXIV
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CXXXV
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CXXXVI
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CXXXVII
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CXL
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CXLI
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CXLIX
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CL
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CLI
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CLII
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CLIII
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CLIV
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CLVI
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CLVII
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CLIX
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CLX
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CLXII
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About the author (1999)

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

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