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140122 ||| eng |
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|a 9783662035504
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| 100 |
1 |
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|a Wackernagel, Hans
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| 245 |
0 |
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|a Multivariate Geostatistics
|h Elektronische Ressource
|b An Introduction with Applications
|c by Hans Wackernagel
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| 250 |
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|a 2nd ed. 1998
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| 260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 1998, 1998
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| 300 |
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|a XIV, 293 p
|b online resource
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| 505 |
0 |
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|a 1 Introduction -- A From Statistics to Geostatistics -- 2 Mean, Variance, Covariance -- 3 Linear Regression and Simple Kriging -- 4 Kriging the Mean -- B Geostatistics -- 5 Regionalized Variable and Random Function -- 6 Variogram Cloud -- 7 Variogram and Covariance Function -- 8 Examples of Covariance Functions -- 9 Anisotropy -- 10 Extension and Dispersion Variance -- 11 Measures and Plots of Dispersion -- 12 Ordinary Kriging -- 13 Kriging Weights -- 14 Mapping with Kriging -- 15 Linear Model of Regionalization -- 16 Kriging Spatial Components -- 17 The Smoothness of Kriging -- C Multivariate Analysis -- 18 Principal Component Analysis -- 19 Canonical Analysis -- 20 Correspondence Analysis -- D Multivariate Geostatistics -- 21 Direct and Cross Covariances -- 22 Covariance Function Matrices -- 23 Intrinsic Multivariate Correlation -- 24 Heterotopic Cokriging -- 25 Isotopic Cokriging -- 26 Multivariate Nested Variogram -- 27 Coregionalization Analysis -- 28 Kriging a Complex Variable -- 29 Bilinear Coregionalization Model -- E Non-Stationary Geostatistics -- 30 External Drift -- 31 Universal Kriging -- 32 Translation Invariant Drift -- Matrix Algebra -- Linear Regression Theory -- Covariance and Variogram Models -- Additional Exercices -- Solutions to Exercises -- References and Software
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| 653 |
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|a Geology
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| 653 |
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|a Statistics
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| 653 |
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|a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
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| 653 |
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|a Earth sciences
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| 653 |
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|a Earth Sciences
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b SBA
|a Springer Book Archives -2004
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| 028 |
5 |
0 |
|a 10.1007/978-3-662-03550-4
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-662-03550-4?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 551
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| 520 |
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|a This book presents an introduction to geostatistics stressing the multivariate aspects for scientists, engineers or statisticians. Geostatistics offers a variety of models, methods and techniques for the analysis, estimation and display of multivariate data distributed in space or time. This book presents a brief review of statistical concepts, a detailed introduction to linear geostatistics, and an account of 3 basic methods of multivariate analysis. Applications from very different areas of science, as well as exercises with solutions, are provided to help convey the general ideas. In the second edition, the introductory chapter has been divided into two separate chapters for clarity. Furthermore, the chapters regarding normal kriging and cokriging have been restructured and the section on non-stationary geostatistics has been entirely rewritten
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