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Abstract
The estimation of the parameter of a mixed model analysis of variance by maximum likelihood methods is discussed. The functional iteration method is studied and found to have good comptuational properties. The estimates are studied via Monte Carlo techniques and their small sample properties are observed; it is found that the MLE's may be biased but that they have good Mean Square Error properties.