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About this book
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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Table of contents (6 chapters)
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From a review:
GEODERMA
"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."
Authors and Affiliations
Bibliographic Information
Book Title: Interpolation of Spatial Data
Book Subtitle: Some Theory for Kriging
Authors: Michael L. Stein
Series Title: Springer Series in Statistics
DOI: https://doi.org/10.1007/978-1-4612-1494-6
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1999
Hardcover ISBN: 978-0-387-98629-6Published: 22 June 1999
Softcover ISBN: 978-1-4612-7166-6Published: 17 October 2012
eBook ISBN: 978-1-4612-1494-6Published: 06 December 2012
Series ISSN: 0172-7397
Series E-ISSN: 2197-568X
Edition Number: 1
Number of Pages: XVII, 249
Topics: Probability Theory and Stochastic Processes, Statistical Theory and Methods, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Geology, Geography, general, Earth Sciences, general