| Description |
xi, 695 pages : illustrations ; 25 cm |
| Series |
Wiley series in probability and statistics. Applied probability and statistics section |
|
Wiley series in probability and statistics. Applied probability and statistics.
|
| Contents |
1. Preliminaries -- 2. Structural Analysis -- 3. Kriging -- 4. Intrinsic Model of Order k -- 5. Multivariate Methods -- 6. Nonlinear Methods -- 7. Conditional Simulations -- 8. Scale Effects and Inverse Problems |
| Summary |
"This book deals with statistical models used to describe natural variables distributed in space or in time and space. It takes a practical, unified approach to geostatistics - integrating statistical data with physical equations and geological concepts while stressing the importance of an objective description based on empirical evidence. This unique approach facilitates realistic modeling that accounts for the complexity of natural phenomena and helps solve economic and development problems - in mining, oil exploration, environmental engineering, and other real-world situations involving spatial uncertainty." "Geostatistics: Modeling Spatial Uncertainty is the only geostatistical book to address a broad audience in both industry and academia. An invaluable resource for geostatisticians, physicists, mining engineers, and earth science professionals such as petroleum geologists, geophysicists, and hydrogeologists, it is also an excellent supplementary text for graduate-level courses in related subjects."--Jacket |
| Notes |
"A Wiley-Interscience publication." |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Earth sciences -- Statistical methods.
|
| Author |
Delfiner, Pierre.
|
| LC no. |
98003599 |
| ISBN |
0471083151 alkaline paper |
|
9780471083153 alkaline paper |
|
