Abstract
The recent development of mixed model software has expanded the use of mixed models analysis, but mixed models have been analyzed using non-mixed models software for many years. The purpose of this paper is to discuss the differences, similarities, advantages and disadvantages of the two approaches. Section 1 introduces the mixed model with two examples. The analysis of the mixed model using mixed models software is presented in Section 2 and the analysis of the mixed model using non-mixed models software is described in Section 3. Finally, an 'example' is used to compare the two methodologies.
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Recommended Citation
Milliken, George A.
(1992).
"ANALYSIS OF MIXED MODELS WITHOUT MIXED MODELS SOFTWARE,"
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1404
ANALYSIS OF MIXED MODELS WITHOUT MIXED MODELS SOFTWARE
The recent development of mixed model software has expanded the use of mixed models analysis, but mixed models have been analyzed using non-mixed models software for many years. The purpose of this paper is to discuss the differences, similarities, advantages and disadvantages of the two approaches. Section 1 introduces the mixed model with two examples. The analysis of the mixed model using mixed models software is presented in Section 2 and the analysis of the mixed model using non-mixed models software is described in Section 3. Finally, an 'example' is used to compare the two methodologies.
