Characterization and quantification of uncertainty in coregionalization analysis

DOI10.1007/s11004-007-9086-8zbMath1158.62040OpenAlexW2092107474MaRDI QIDQ1001141

James W. Fyles, Pierre Dutilleul, Bernard Pelletier, Guillaume Larocque

Publication date: 12 February 2009

Published in: Mathematical Geology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-007-9086-8

zbMATH Keywords

multi-scale analysispositive semidefinitenesscoefficients of determinationdirect and cross variogramsergodic estimation and fluctuation variancesleast-squares estimators of sillsstructural correlations

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Estimation in multivariate analysis (62H12) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Geostatistics (86A32)

Related Items (4)

Tests of significance for structural correlations in the linear model of coregionalization ⋮ An overview of approaches to the analysis and modelling of multivariate geostatistical data ⋮ Modified \(F\) tests for assessing the multiple correlation between one spatial process and several others ⋮ Estimation of sill matrices in the linear model of coregionalization

Cites Work

• The Bingham distribution of quaternions and its spherical Radon transform in texture analysis
• Coregionalization by linear combination of nonorthogonal components
• Variance-covariance matrix of the experimental variogram: Assessing variogram uncertainty
• Calculation of uncertainty in the variogram
• Fitting the linear model of coregionalization by generalized least squares
• Sampling Designs for Estimating Spatial Variance Components
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