Tests of significance for structural correlations in the linear model of coregionalization

DOI10.1007/S11004-011-9354-5zbMath1242.86016OpenAlexW1965668403MaRDI QIDQ434208

Pierre Dutilleul, Bernard Pelletier

Publication date: 10 July 2012

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

Full work available at URL: https://doi.org/10.1007/s11004-011-9354-5

zbMATH Keywords

coregionalization analysiseffective sample sizessill matricesuncertainty of estimationvalidity and power of statistical tests

Mathematics Subject Classification ID

Geostatistics (86A32)

Cites Work

• Unnamed Item
• Unnamed Item
• Characterization and quantification of uncertainty in coregionalization analysis
• Fitting the linear model of coregionalization by generalized least squares
• Modified \(F\) tests for assessing the multiple correlation between one spatial process and several others
• Testing the covariance structure of multivariate random fields
• A Note on Sufficient Conditions for Valid UnmodifiedtTesting in Correlation Analysis with Autocorrelated and Heteroscedastic Sample Data

This page was built for publication: Tests of significance for structural correlations in the linear model of coregionalization