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[Iterative estimation of variance components for a mixed model with a numerator relationship matrix: apply to compute
1Hebei Agricultural University, Baoding.
Abstract:
An iterative procedure is presented for the estimation of variance components in the mixed model with a numerator relationship matrix from non-balanced data. This method has been shown to be feasible if only designing matrix for fixed effects of the mixed model and Henderson method 3 hypothetic condition of the fixed effect to compute correctly the reduction in sum of squares, we would obtain more precise estimation of variance components, furthermore, the sizes of the initial value K could not affect to last result of the iterative solution. This is because in the iterative process may adjust automatically by designing matrix. Also, the variance components could apply not only to compute variance ratio in BLUP, but also to estimate genetic parameters.
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