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The EM algorithm is a frequently advocated algorithm for the estimation of variance components. A faster converging algorithm is developed using alternative parameter-izations based on the analysis of variance. The procedure is exemplified using designs with two and three variance components and with multivariate designs using parameter values relevant to animal breeding data.
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Thompson et al. (1986) studied this question.
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