## Table of contents for Solved problems in geostatistics / Oy Leuangthong, Daniel Khan, Clayton V. Deutsch.

Bibliographic record and links to related information available from the Library of Congress catalog.

Note: Contents data are machine generated based on pre-publication provided by the publisher. Contents may have variations from the printed book or be incomplete or contain other coding.

```CONTENTS
1. Introduction ..........................................................................................1
1.1 Plan of the Book, 2
1.2 The Premise of Geostatistics, 4
1.3 Nomenclature, 6
2. Getting Comfortable with Probabilities ............................................7
2.1 Parametric Probability Distributions, 7
2.2 Variance of Linear Combinations, 13
2.3 Standardization and Probability Intervals, 16
3. Obtaining Representative Distributions ..........................................21
3.1 Basic Declustering, 22
3.2 Debiasing with Bivariate Gaussian Distribution , 28
3.3 Comparison of Declustering Methods, 35
4. Monte Carlo Simulation ....................................................................41
4.1 Impact of the Central Limit Theorem, 43
4.2 Bootstrap and Spatial Bootstrap, 47
4.3 Transfer of Uncertainty, 54
5. Variograms and Volume Variance ...................................................59
5.1 Geometric Anisotropy, 60
5.2 Variogram Calculation, 69
5.3 Variogram Modeling and Volume Variance, 78
6. Kriging ................................................................................................85
6.1 Stationary Kriging, 86
6.2 Non-Stationary Kriging, 92
6.3 Screening Effect of Kriging, 97
7. Gaussian Simulation ........................................................................103
7.1 Bivariate Gaussian Distribution, 104
7.2 Conditioning by Kriging, 110
7.3 Gaussian Simulation, 117
8. Indicators ..........................................................................................125
8.1 Variogram of Objects, 127
8.2 Indicator Variograms and the Gaussian Distribution, 132
8.3 Indicator Simulation for Categorical Data, 137
9. Multiple Variables ...........................................................................143
9.1 Linear Model of Coregionalization, 144
9.2 Gaussian Cosimulation, 149
9.3 Multiscale Cokriging, 159
10. Special Topics in Geostatistics ........................................................167
10.1 Decision Making in Presence of Uncertainty, 168
10.2 Trend Model Construction, 175
10.3 Multiple Point Statistics, 182
11. Closing Remarks ..............................................................................193
Bibliography ...........................................................................................197
Index ........................................................................................................207
```

Library of Congress Subject Headings for this publication:

Geology -- Statistical methods -- Problems, exercises, etc.
Geology -- Data processing -- Problems, exercises, etc.