A gm estimation of the location parameters in a spatial linear model

DOI10.1080/03610929708832008zbMath0954.62565OpenAlexW2132949392MaRDI QIDQ4269924

Ana F. Militino, Maria Dolores Ugarte

Publication date: 10 November 1999

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929708832008

zbMATH Keywords

krigingrobustnesscross-validationDirichlet tesselations

Mathematics Subject Classification ID

Inference from spatial processes (62M30)

Related Items (2)

Robust trend parameters in a multivariate spatial linear model ⋮ Outliers detection in multivariate spatial linear models

Uses Software

• R
• ROBETH
• S-PLUS
• spatial

Cites Work

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• Minimum-variance unbiased quadratic estimation of covariances of regionalized variables
• A Bounded Influence, High Breakdown, Efficient Regression Estimator
• Maximum likelihood estimation of models for residual covariance in spatial regression
• Least Median of Squares Regression
• Problems with likelihood estimation of covariance functions of spatial Gaussian processes
• On multimodality of the likelihood in the spatial linear model
• Mallows-Type Bounded-Influence-Regression Trimmed Means
• Estimation in Linear Regression Models with Disparate Data Points
• Efficient Bounded-Influence Regression Estimation
• Prediction diagnostics for spatial linear models
• On One-Step GM Estimates and Stability of Inferences in Linear Regression
• The Influence Curve and Its Role in Robust Estimation
• The intrinsic random functions and their applications
• Modern trends in the theory of robustness²
• Robust Statistics
• Statistical Inference for Spatial Processes

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