La méthode de vraisemblance pour les processus linéaires spatiaux définis sur un treillis triangulaire

DOI10.2307/3315809zbMath0779.62090OpenAlexW1980866497MaRDI QIDQ4272581

Marc Moore, Luc Adjengue

Publication date: 10 January 1994

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315809

zbMATH Keywords

asymptotic propertiesisotropic modeltriangular latticesimulation experimentsexact likelihoodGaussian random shockslinear combination of real-valued random shocksnon-Gaussian random shockspseudo- Gaussian likelihood estimatesregular concentric hexagonsspatial moving-average processes

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Non-Markovian processes: estimation (62M09) Monte Carlo methods (65C05)

Uses Software

• IMSL Numerical Libraries

Cites Work

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• Maximum likelihood estimation of models for residual covariance in spatial regression
• Spatial linear processes
• Parameter estimation for a stationary process on a d-dimensional lattice
• ON STATIONARY PROCESSES IN THE PLANE

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