Springer-Science+Business Media, LLC, 1999. — 309 p. — ISBN 978-1-4615-5001-3.This textbook is an outgrowth of notes that I prepared for engineering students attending my graduate-level course taught at The University of Kansas in the United States. Geostatistics builds upon other disciplines, a command of which is basic for a ready understanding of its concepts. Prerequisite to enrollment in my class is the successful completion of the equivalent of (American) college-level courses in matrix algebra, probability, and statistics. Rather than including a lengthy introductory review of such subjects here, I have decided to require from the readers the same level of understanding expected from my students. Tutorial deficits or memory lapses should be remedied by referring to the abundant literature on these topics.List of Mathematical Definitions List of Theorems List of Corollaries List of Lemmas Preface Introduction Simple Kriging Normalization Ordinary Kriging The Semivariogram Universal Kriging Crossvalidatlon Drift and Residuals Stochastic Simulation Reliability Cumulative Distribution Estimators Block Kriging Ordinary Cokriging Regionalized Classification References Appendix A: West Lyons Field Sampling Appendix B: High Plains Aquifer Sampling Appendix C: UNCF Sampling Appendix D: Dakota Aquifer Sampling Author Index Subject Index
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