Maximum likelihood estimation of models for residual covariance in spatial regression

DOI10.1093/biomet/71.1.135zbMath0542.62079OpenAlexW2060624994WikidataQ56384531 ScholiaQ56384531MaRDI QIDQ3330347

Roger Marshall, Kanti V. Mardia

Publication date: 1984

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/71.1.135

zbMATH Keywords

consistencyasymptotic normalityMonte Carlo simulationmaximum likelihood estimatorslattice processkriging predictorcovariance structure of residualsLarge sample spectral approximationreal valued Gaussian processregression analysis of spatial dataSmall sample behaviour

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Gaussian processes (60G15) Linear regression; mixed models (62J05) Generalized stochastic processes (60G20)

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