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Multivariate Geostatistics || Variogram and Covariance Function

โœ Scribed by Wackernagel, Hans


Book ID
120381907
Publisher
Springer Berlin Heidelberg
Year
2003
Tongue
English
Weight
714 KB
Edition
3
Category
Article
ISBN
3662052946

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โœฆ Synopsis


This fully revisedย third edition introduces geostatistics by emphasising the multivariate aspects for scientists, engineers and statisticians. Geostatistics offers a variety of models, methods and techniques for the analysis, estimation and display of multivariate data distributed in space or time. The text contains a brief review of statistical concepts, a detailed introduction to linear geostatistics, and an account of 3 basic methods of multivariate analysis. Applications from different areas of science, as well as exercises with solutions, are provided to help convey the general ideas. The introductory chapter has been divided into two separate sections for clarity. The final section deals with non-stationary geostatistics.


๐Ÿ“œ SIMILAR VOLUMES


Multivariate Geostatistics || Variogram
โœ Wackernagel, Hans ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Springer Berlin Heidelberg ๐ŸŒ English โš– 677 KB

This fully revisedย third edition introduces geostatistics by emphasising the multivariate aspects for scientists, engineers and statisticians. Geostatistics offers a variety of models, methods and techniques for the analysis, estimation and display of multivariate data distributed in space or time.

Multivariate Geostatistics || Direct and
โœ Wackernagel, Hans ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Springer Berlin Heidelberg ๐ŸŒ English โš– 776 KB

This fully revisedย third edition introduces geostatistics by emphasising the multivariate aspects for scientists, engineers and statisticians. Geostatistics offers a variety of models, methods and techniques for the analysis, estimation and display of multivariate data distributed in space or time.

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โœ Ana F. Militino; M.Dolores Ugarte ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 131 KB

In geostatistics, one of the crucial problems is the choice of the covariance function. In this paper we show how to improve the cross-validation criterion, traditionally used for evaluating the รฟt of a covariance function, in the case of unequally spaced data.

Multivariate Geostatistics || Regionaliz
โœ Wackernagel, Hans ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Springer Berlin Heidelberg ๐ŸŒ English โš– 750 KB

This fully revisedย third edition introduces geostatistics by emphasising the multivariate aspects for scientists, engineers and statisticians. Geostatistics offers a variety of models, methods and techniques for the analysis, estimation and display of multivariate data distributed in space or time.