On the problem of estimation with approximative linear restrictions (Q1112512)

A general linear model under approximative linear restrictions is considered. After having explicitly solved the restrictions, the (generalized) minimum mean square error estimator is obtained: the estimator is applicable either when the restriction equation errors have zero expected value or when they are systematic. We give rules which enable one to derive simplified formulae to estimate particular linear combinations of the coefficients.