Average Information REML: An Efficient Algorithm for Variance Parameter Estimation in Linear Mixed Models

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ID: 300907
1995
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Abstract
A strategy of using an average information matrix is shown to be computationally convenient and efficient for estimating variance components by restricted maximum likelihood (REML) in the mixed linear model. Three applications are described. The motivation for the algorithm was the estimation of variance components in the analysis of wheat variety means from 1,071 experiments representing 10 years and 60 locations in New South Wales. We also apply the algorithm to the analysis of designed experiments by incomplete block analysis and spatial analysis of field experiments.
Reference Key
openalex_W1993849755 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors A. Gilmour, R. Thompson, B. R. Cullis
Journal biometrics
Year 1995
DOI
10.2307/2533274
URL
https://doi.org/10.2307/2533274
Keywords Keywords not found

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