Linear least squares estimation of regression models for two-dimensional random fields

DOI10.1006/jmva.2001.2025zbMath1078.62526OpenAlexW1991559203MaRDI QIDQ700149

Guy Cohen, Joseph M. Francos

Publication date: 30 September 2002

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1006/jmva.2001.2025

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Random fields; image analysis (62M40) Estimation in multivariate analysis (62H12)

Related Items (2)

On a class of minimum contrast estimators for Gegenbauer random fields ⋮ On LSE in regression model for long-range dependent random fields on spheres

Cites Work

• Strong consistency of least squares estimates in multiple regression II
• Prediction theory and Fourier series in several variables
• Asymptotic theory of nonlinear least squares estimation
• Multivariate regression estimation with errors-in-variables for stationary processes
• Weak and strong consistency of the least squares estimators in regression models
• On a necessary condition for the consistency of the l₁estimates in linear regression models
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