What is included with this book?
Preface to the Second Edition | p. ix |
Preface to the First Edition | p. xiii |
Abbreviations | p. xv |
Introduction | p. 1 |
Types of Problems Considered | p. 2 |
Description or Interpretation? | p. 8 |
Preliminaries | p. 11 |
Random Functions | p. 11 |
On the Objectivity of Probabilistic Statements | p. 22 |
Transitive Theory | p. 24 |
Structural Analysis | p. 28 |
General Principles | p. 28 |
Variogram Cloud and Sample Variogram | p. 33 |
Mathematical Properties of the Variogram | p. 59 |
Regularization and Nugget Effect | p. 78 |
Variogram Models | p. 84 |
Fitting a Variogram Model | p. 109 |
Variography in the Presence of a Drift | p. 122 |
Simple Applications of the Variogram | p. 130 |
Complements: Theory of Variogram Estimation and Fluctuation | p. 138 |
Kriging | p. 147 |
Introduction | p. 147 |
Notations and Assumptions | p. 149 |
Kriging with a Known Mean | p. 150 |
Kriging with an Unknown Mean | p. 161 |
Estimation of a Spatial Average | p. 196 |
Selection of a Kriging Neighborhood | p. 204 |
Measurement Errors and Outliers | p. 216 |
Case Study: The Channel Tunnel | p. 225 |
Kriging Under Inequality Constraints | p. 232 |
Intrinsic Model of Order k | p. 238 |
Introduction | p. 238 |
A Second Look at the Model of Universal Kriging | p. 240 |
Allowable Linear Combinations of Order k | p. 245 |
Intrinsic Random Functions of Order k | p. 252 |
Generalized Covariance Functions | p. 257 |
Estimation in the IRF Model | p. 269 |
Generalized Variogram | p. 281 |
Automatic Structure Identification | p. 286 |
Stochastic Differential Equations | p. 294 |
Multivariate Methods | p. 299 |
Introduction | p. 299 |
Notations and Assumptions | p. 300 |
Simple Cokriging | p. 302 |
Universal Cokriging | p. 305 |
Derivative Information | p. 320 |
Multivariate Random Functions | p. 330 |
Shortcuts | p. 360 |
Space-Time Models | p. 370 |
Nonlinear Methods | p. 386 |
Introduction | p. 386 |
Global Point Distribution | p. 387 |
Local Point Distribution: Simple Methods | p. 392 |
Local Estimation by Disjunctive Kriging | p. 401 |
Selectivity and Support Effect | p. 433 |
Multi-Gaussian Change-of-Support Model | p. 445 |
Affine Correction | p. 448 |
Discrete Gaussian Model | p. 449 |
Non-Gaussian Isofactorial Change-of-Support Models | p. 466 |
Applications and Discussion | p. 469 |
Change of Support by the Maximum (C. Lantuéjoul) | p. 470 |
Conditional Simulations | p. 478 |
Introduction and Definitions | p. 478 |
Direct Conditional Simulation of a Continuous Variable | p. 489 |
Conditioning by Kriging | p. 495 |
Turning Bands | p. 502 |
Nonconditional Simulation of a Continuous Variable | p. 508 |
Simulation of a Categorical Variable | p. 546 |
Object-Based Simulations: Boolean Models | p. 574 |
Beyond Standard Conditioning | p. 590 |
Additional Topics | p. 606 |
Case Studies | p. 615 |
Appendix | p. 629 |
References | p. 642 |
Index | p. 689 |
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