The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Average Information REML: An Efficient Algorithm for Variance Parameter Estimation in Linear Mixed Models
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.
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Cites
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Random-Effects Models for Longitudinal Data
Laird, N. M., & Ware, J. H. (1982) · Biometrics · doi:10.2307/2529876 · Cited by 8,923
Direct Methods for Sparse Matrices
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10.2 Maximum Likelihood from Incomplete Data
(2024) · Hierarchical Quantile Modeling · doi:10.1051/978-2-7598-3719-9.c026 · Cited by 780
An Approach to the Analysis of Repeated Measurements
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GCTA: a tool for genome-wide complex trait analysis
Yang, J., Lee, S. H., Goddard, M. E., & Visscher, P. M. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.11.011 · Cited by 8,279
Mixed-effects modeling with crossed random effects for subjects and items
Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008) · Journal of Memory and Language · doi:10.1016/j.jml.2007.12.005 · Cited by 8,540
Small sample inference for fixed effects from restricted maximum likelihood
Kenward, M. G., & Roger, J. H. (1997) · Biometrics · doi:10.2307/2533558 · Cited by 4,552
Zhou, W., Nielsen, J. B., Fritsche, L. G., Dey, R., Gabrielsen, M. E., Wolford, B. N., LeFaive, J., VandeHaar, P., Gagliano, S. A., Gifford, A., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0184-y · Cited by 1,544
Halekoh, U., & Højsgaard, S. (2014) · Journal of Statistical Software · doi:10.18637/jss.v059.i09 · Cited by 1,324
Metadata
- Authors
- Gilmour, A. R., Thompson, R., & Cullis, B. R.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1995-12
- Volume
- 51
- Issue
- 4
- Pages
- 1440
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W1993849755
- Cited by
- 915
- References
- 25
- FWCI
- 13.02
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
