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Cited by 601

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

A Unified Approach to Mixed Linear Models

McLean, Robert A., Sanders, William L., Stroup, Walter W.·1991·The American Statistician

Abstract

The mixed model equations as presented by C. R. Henderson offers the base for a methodology that provides flexibility of fitting models with various fixed and random elements with the possible assumption of correlation among random effects. The advantage of teaching analysis of variance applications from this methodology is presented. Particular emphasis is placed upon the relationship between choice of estimable function and inference space.

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Crossref · 10.1080/00031305.1991.10475767

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Metadata

Authors
McLean, R. A., Sanders, W. L., & Stroup, W. W.
Venue
The American Statistician
Published
1991-02
Volume
45
Issue
1
Pages
54-64
ISSN
  • 0003-1305 (ISSN-L)
  • 1537-2731
OpenAlex
W2064867029
Cited by
601
References
30
FWCI
10.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Unified Approach to Mixed Linear Models. https://app.cochat.ai/papers/10.1080/00031305.1991.10475767
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McLean, R. A., Sanders, W. L., & Stroup, W. W. (1991). A Unified Approach to Mixed Linear Models. The American Statistician. https://doi.org/10.1080/00031305.1991.10475767

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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.