Conditioning of the stationary kriging matrices for some well-known covariance models

Journal Article · Sun Oct 01 00:00:00 EDT 1989 · Mathematical Geology; (USA)

DOI:https://doi.org/10.1007/BF00893320· OSTI ID:6206731

Posa, D ^[1]

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1. IRMA-CNR, Bari (Italy)

In this paper, the condition number of the stationary kriging matrix is studied for some well-known covariance models. Indeed, the robustness of the kriging weights is strongly affected by this measure. Such an analysis can justify the choice of a covariance function among other admissible models which could fit a given experimental covariance equally well.

• OSTI ID: 6206731
• Journal Information: Mathematical Geology; (USA), Vol. 21:7; ISSN 0882-8121
• Country of Publication: United States
• Language: English

Related Subjects

58 GEOSCIENCES
GEOPHYSICAL SURVEYS
KRIGING
COMPUTERIZED SIMULATION
DATA ANALYSIS
DATA COVARIANCES
EIGENVALUES
EXPLORATION
FORECASTING
GAUSS FUNCTION
GEOLOGIC DEPOSITS
GEOLOGIC MODELS
LAGRANGIAN FUNCTION
MATRICES
PROBABILISTIC ESTIMATION
STATISTICAL MODELS
WEIGHTING FUNCTIONS
FUNCTIONS
MATHEMATICAL MODELS
MATHEMATICS
SIMULATION
STATISTICS
SURVEYS
580000* - Geosciences