Some asymptotic results for the residual maximum likelihood estimation of the parameters of a spatial process

DOI10.1080/03610929408831344zbMath0825.62183OpenAlexW2034085491MaRDI QIDQ4843825

Biao Zhang

Publication date: 17 August 1995

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

Full work available at URL: https://doi.org/10.1080/03610929408831344

zbMATH Keywords

Fisher informationwhite noiseuniversal krigingresidual maximum likelihoodintrinsic random function

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• A comparison of generalized cross validation and modified maximum likelihood for estimating the parameters of a stochastic process
• Kernel approximations for universal kriging predictors
• Correlation theory of stationary and related random functions. Volume II: Supplementary notes and references
• The asymptotic distribution of REML estimators
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• Recovery of inter-block information when block sizes are unequal
• Computationally efficient restricted maximum likelihood estimation of generalized covariance functions

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