Estimation of covariance functions by a fully data-driven model selection procedure and its application to Kriging spatial interpolation of real rainfall data

DOI10.1007/s10260-013-0250-7zbMath1359.62096OpenAlexW1976637439MaRDI QIDQ520392

Dunia Giniebra Camejo, Jean-Michel Loubes, Rolando Biscay Lirio, Lilian Muñiz Alvarez

Publication date: 3 April 2017

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-013-0250-7

zbMATH Keywords

model selectioncovariance estimationKriging method

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to environmental and related topics (62P12) Nonparametric estimation (62G05) Geostatistics (86A32) Statistical ranking and selection procedures (62F07)

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A critical assessment of Kriging model variants for high-fidelity uncertainty quantification in dynamics of composite shells

Uses Software

• spatial

Cites Work

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