The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Estimation in generalized linear models with random effects
Abstract
A conceptually very simple but general algorithm for the estimation of the fixed effects, random effects, and components of dispersion in generalized linear models with random effects is proposed. Conditions are described under which the algorithm yields approximate maximum likelihood or quasi-maximum likelihood estimates of the fixed effects and dispersion components, and approximate empirical Bayes estimates of the random effects. The algorithm is applied to two data sets to illustrate the estimation of components of dispersion and the modelling of overdispersion.
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Cites
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
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Metadata
- Authors
- SCHALL, R.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 1991
- Volume
- 78
- Issue
- 4
- Pages
- 719-727
- ISSN
- 0006-3444 (ISSN-L)
- 1464-3510
- OpenAlex
- W1968578768
- Cited by
- 1,243
- References
- 1
- FWCI
- 9.80
- Type
- journal article
- Language
- en
- Open access
- closed
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- SCHALL, R. (1991). Estimation in generalized linear models with random effects. Biometrika. https://doi.org/10.1093/biomet/78.4.719
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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.
