The superiorities of Bayes linear unbiased estimation in partitioned linear model
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In this article, the Bayes linear unbiased estimation (BALUE) of parameters is derived for the partitioned linear model. The superiorities of the BALUE over ordinary least square estimator (LSE) are studied in terms of the Bayes mean square error matrix (BMSEM) criterion and Pitman closeness (PC) criterion.
Key wordsBayes linear unbiased estimation Bayes mean square error matrix criterion least square estimation partitioned linear model Pitman closeness criterion
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