Deux méthodes d'estimation pour les paramètres de processus moyenne mobile spatiaux
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Publication:4488793
DOI10.2307/3316132zbMath0962.62090OpenAlexW2087094066MaRDI QIDQ4488793
Publication date: 12 June 2001
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/3316132
Asymptotic properties of parametric estimators (62F12) Inference from spatial processes (62M30) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Non-Markovian processes: estimation (62M09)
Cites Work
- On the central limit theorem for stationary mixing random fields
- On Durbin's formula for the limiting generalized variance of a sample of consecutive observations from a moving-average process
- 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
- Application of Least Squares Regression to Relationships Containing Auto- Correlated Error Terms
- ON STATIONARY PROCESSES IN THE PLANE
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