The W transformation greatly reduces the computational bruden in obtaining maximum likelihood estimates for the mixed A.O.V. model. However, effective optimization methods for maximizing the likelihood must comptlte the matrix W at each iteration. This paper develops an efficient Cholesky type algorithm for forming W.
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Hemmerle et al. (1976) studied this question.
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