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A Unified Approach to Mixed Linear Models
Robert A. McLean, William L. Sanders and Walter W. Stroup
The American Statistician
Vol. 45, No. 1 (Feb., 1991), pp. 54-64
Stable URL: http://www.jstor.org/stable/2685241
Page Count: 11
You can always find the topics here!Topics: Statistical variance, Standard error, Inference, Linear models, Mathematical vectors, Matrices, Statistics, Mathematical procedures, Statistical estimation, Covariance
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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.
The American Statistician © 1991 American Statistical Association