Asymptotics for REML estimation of spatial covariance parameters
type: Item
instance of: scholarly article
title: Asymptotics for REML estimation of spatial covariance parameters
zbMATH Open document ID: 0847.62044
DOI: 10.1016/0378-3758(95)00061-5
author: Noel Cressie
author: Soumendra N. Lahiri
published in: Journal of Statistical Planning and Inference
publication date: 1996-09-05T00:00:00Z
Mathematics Subject Classification ID: 62H11
Mathematics Subject Classification ID: 62F12
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 62E20
zbMATH DE Number: 906633
zbMATH Keywords: general linear model
zbMATH Keywords: regular lattice data
zbMATH Keywords: agricultural field trials
zbMATH Keywords: restricted maximum likelihood estimation
zbMATH Keywords: spatial regression
MaRDI profile type: Publication
full work available at URL: 0378-3758(95)00061-5
OpenAlex ID: W1981682765
cites work: The asymptotic distribution of REML estimators
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cites work: Asymptotic distributions of minimum norm quadratic estimators of the covariance function of a Gaussian random field
cites work: Monte Carlo Comparison of ANOVA, MIVQUE, REML, and ML Estimators of Variance Components
cites work: Uniform asymptotic normality of the maximum likelihood estimator
cites work: Corrections to: Uniform asymptotic normality of the maximum likelihood estimator
description: scientific article; zbMATH DE number 906633