Best linear unbiased predictors and estimators under a pair of constrained seemingly unrelated regression models

Abstract

We give a group of computational formulas on best linear unbiased predictors and best linear unbiased estimators of all unknown parameters in a pair of seemingly-unrelated regression models with separate linear parameter restrictions using some quadratic matrix optimization methods, and establish many basic properties of the predictors and estimators under some general assumptions.