Journal of the Korean Statistical Society
- Volume 10
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- Pages.91-96
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- 1981
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- 1226-3192(pISSN)
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- 2005-2863(eISSN)
ComputationalAalgorithm for the MINQUE and its Dispersion Matrix
Abstract
The development of Minimum Norm Quadratic Unbiased Estimation (MINQUE) has introduced a unified approach for the estimation of variance components in general linear models. The computational problem has been studied by Liu and Senturia (1977) and Goodnight (1978, setting a-priori values to 0). This paper further simplifies the computation and gives efficient and compact computational algorithm for the MINQUE and dispersion matrix in general linear random model.
Keywords