 Linear unbiased estimator

In a linear model $Y=X\beta +\epsilon$, a linear estimator has the form $AY$. It is unbiased for $C\beta$ exactly when $AX=C$. A best linear unbiased estimator minimizes its covariance, or its variance for a scalar target, among all estimators satisfying this constraint.