A unified approach to mixed linear models
RA McLean, WL Sanders, WW Stroup - The American Statistician, 1991 - Taylor & Francis
RA McLean, WL Sanders, WW Stroup
The American Statistician, 1991•Taylor & FrancisThe mixed model equations as presented by CR 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.
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.
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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