A Unified Approach to Mixed Linear Models
Robert A. McLean(University of Tennessee at Knoxville), William L. Sanders(University of Tennessee at Knoxville), Walter W. Stroup(University of Nebraska–Lincoln)
Cited by 524
Abstract
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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