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140122 ||| eng |
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|a 9783662030981
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| 100 |
1 |
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|a Wackernagel, Hans
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| 245 |
0 |
0 |
|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 1st ed. 1995
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| 260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 1995, 1995
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| 300 |
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|a XIV, 257 p. 47 illus
|b online resource
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| 505 |
0 |
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|a 1 Introduction -- A Preliminaries -- 2 From Statistics to Geostatistics -- B Geostatistics -- 3 Regionalized Variable and Random Function -- 4 Variogram Cloud -- 5 Variogram and Covariance Function -- 6 Examples of Covariance Functions -- 7 Anisotropy -- 8 Extension and Dispersion Variance -- 9 Measures and Plots of Dispersion -- 10 Kriging the Mean -- 11 Ordinary Kriging -- 12 Kriging Weights -- 13 Mapping with Kriging -- 14 Linear Model of Regionalization -- 15 Kriging Spatial Components -- 16 The Smoothness of Kriging -- C Multivariate Analysis -- 17 Principal Component Analysis -- 18 Canonical Analysis -- 19 Correspondence Analysis -- D Multivariate Geostatistics -- 20 Direct and Cross Covariances -- 21 Covariance Function Matrices -- 22 Intrinsic Multivariate Correlation -- 23 Cokriging -- 24 Multivariate Nested Variogram -- 25 Coregionalization Analysis -- 26 Kriging a Complex Variable -- 27 Bilinear Coregionalization Model -- E Non-Stationary Geostatistics -- 28 Universal Kriging -- 29 Translation Invariant Drift -- 30 External 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 10.1007/978-3-662-03098-1
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-662-03098-1?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 The book provides the applied scientist, engineer or statistician with an introduction to geostatistics stressing the multivariate aspects. Geostatistics offers a variety of models, methods and techniques for the analysis, estimation and display of multivariate data distributed in space or time. The book presents a brief review of statistical concepts, a detailed introduction to linear geostatistics, and an account of three basic methods of multivariate analysis. Moreover, it presents an advanced presentation of linear models for multivariate spatial or temporal data, including the recent bilinear model of coregionalization, and an introduction to non stationary geostatistics with a special focus on the external drift method
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