Bootstrapped models for intrinsic random functions

Conference · Mon Aug 01 00:00:00 EDT 1988 · J. Int. Assoc. Math. Geol.; (United States)

OSTI ID:6288095

Campbell, K

Use of intrinsic random function stochastic models as a basis for estimation in geostatistical work requires the identification of the generalized covariance function of the underlying process. The fact that this function has to be estimated from data introduces an additional source of error into predictions based on the model. This paper develops the sample reuse procedure called the bootstrap in the context of intrinsic random functions to obtain realistic estimates of these errors. Simulation results support the conclusion that bootstrap distributions of functionals of the process, as well as their kriging variance, provide a reasonable picture of variability introduced by imperfect estimation of the generalized covariance function.

• Research Organization: Los Alamos National Lab., NM (USA)
• OSTI ID: 6288095
• Report Number(s): CONF-8704137-
• Journal Information: J. Int. Assoc. Math. Geol.; (United States), Vol. 20:6; Conference: MGUS '87, Redwood City, CA, USA, 13 Apr 1987
• Country of Publication: United States
• Language: English

Related Subjects

58 GEOSCIENCES
GEOLOGIC DEPOSITS
STATISTICAL MODELS
GEOPHYSICAL SURVEYS
DATA COVARIANCES
ACCURACY
ALGORITHMS
COMPUTERIZED SIMULATION
DATA ANALYSIS
DATA PROCESSING
FUNCTIONS
INTERPOLATION
KRIGING
METRICS
PROBABILISTIC ESTIMATION
RANDOMNESS
SAMPLING
MATHEMATICAL LOGIC
MATHEMATICAL MODELS
MATHEMATICS
NUMERICAL SOLUTION
PROCESSING
SIMULATION
STATISTICS
SURVEYS
580203* - Geophysics- Geophysical Survey Methods- (1980-1989)