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)
The American Statistician
February 1, 1991
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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