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This unique book presents a learn-by-doing introduction togeostatistics.

Geostatistics provides the essential numerical tools foraddressing research problems that are encountered in fields ofstudy such as geology, engineering, and the earth sciences.Illustrating key methods through both theoretical and practicalexercises, Solved Problems in Geostatistics is a valuableand well-organized collection of worked-out problems that allow thereader to master the statistical techniques for modeling data inthe geological sciences.

The book's scope of coverage begins with the elements fromstatistics and probability that form the foundation of mostgeostatistical methodologies, such as declustering, debiasingmethods, and Monte Carlo simulation. Next, the authors delve intothree fundamental areas in conventional geostatistics: covarianceand variogram functions; kriging; and Gaussian simulation. Finally,special topics are introduced through problems involving utilitytheory, loss functions, and multiple-point geostatistics.

Each topic is treated in the same clearly organized format.First, an objective presents the main concepts that will beestablished in the section. Next, the background and assumptionsare outlined, supplying the comprehensive foundation that isnecessary to begin work on the problem. A solution plandemonstrates the steps and considerations that have to be takenwhen working with the exercise, and the solution allows the readerto check their work. Finally, a remarks section highlights theoverarching principles and noteworthy aspects of the problem.

Additional exercises are available via a related Web site, whichalso includes data related to the book problems and softwareprograms that facilitate their resolution. Enforcing a trulyhands-on approach to the topic, Solved Problems inGeostatistics is an indispensable supplement for courses ongeostatistics and spatial statistics a the upper-undergraduate andgraduate levels.It also serves as an applied reference forpracticing professionals in the geosciences.

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