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Abstract
In contrast to the analysis of variance of fully fixed or fully random component models, the analysis of variance of mixed models is fraught with potential pitfalls. It is fortunate that there are simple rules for the correct analysis of balanced data; in the case of unbalanced data there are no simple results. The potential pitfalls in the path of a correct analysis are well-known. Despite this, some computer packages still report incorrect results for the balanced model and some textbooks gloss over or ignore some of these pitfalls.
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