Variograms of order \(\omega\): a tool to validate a bivariate distribution model

DOI10.1007/s11004-005-1307-4zbMath1093.86001OpenAlexW2081203149MaRDI QIDQ812950

Xavier Emery

Publication date: 30 January 2006

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

Full work available at URL: https://doi.org/10.1007/s11004-005-1307-4

zbMATH Keywords

madogramBigaussian distributiondiffusion-type random functionsisofactorial models

Mathematics Subject Classification ID

Geostatistics (86A32)

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Cites Work

• Unnamed Item
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• Disjunctive kriging with hard and imprecise data
• A characterization of symmetric isofactorial models
• Conditional simulation of non-Gaussian random functions
• Disjunctive kriging revisited. I, II.

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