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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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McLean et al. (Fri,) studied this question.
www.synapsesocial.com/papers/6a10a600d478ddac0ffd58e0 — DOI: https://doi.org/10.1080/00031305.1991.10475767
Robert A. McLean
William L. Sanders
Walter W. Stroup
The American Statistician
University of Tennessee at Knoxville
University of Nebraska–Lincoln
Institute of Agriculture and Natural Resources
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