Abstract
This paper considers the problem of estimating of the coefficient matrix B( p × m) in a normal multivariate regression model under the risk matrix E( B ̂ −B)′ Q( B ̂ −B) , where Q is a known p.d. matrix, and proposes Gleser type estimators which improve on the usual estimator X.
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