The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Restricted maximum likelihood to estimate variance components for animal models with several random effects using a derivative-free algorithm
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Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
Harville, D. A. (1977) · Journal of the American Statistical Association · doi:10.1080/01621459.1977.10480998 · Cited by 2,667
Gill, P. E., Murray, W., & Wright, M. H. (2019) · doi:10.1137/1.9781611975604 · Cited by 1,737
Estimating variance components in a class of mixed models by restricted maximum likelihood
Smith, S. P., & Graser, H.-U. (1986) · Journal of Dairy Science · doi:10.3168/jds.s0022-0302(86)80516-1 · Cited by 247
Cited by
Data and Theory Point to Mainly Additive Genetic Variance for Complex Traits
Hill, W. G., Goddard, M. E., & Visscher, P. M. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000008 · Cited by 1,039
Gilmour, A. R., Thompson, R., & Cullis, B. R. (1995) · Biometrics · doi:10.2307/2533274 · Cited by 915
Metadata
- Authors
- Meyer, K.
- Venue
- Genetics Selection Evolution
- Published
- 1989
- Volume
- 21
- Issue
- 3
- Pages
- 317-340
- ISSN
- 0754-0264 (ISSN-L)
- OpenAlex
- W2031997011
- Cited by
- 419
- References
- 4
- FWCI
- 9.63
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Meyer, K. (1989). Restricted maximum likelihood to estimate variance components for animal models with several random effects using a derivative-free algorithm. Genetics Selection Evolution. https://doi.org/10.1051/gse%3A19890308
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
