Linear unbiased estimator
= Linear unbiased estimator
In a linear model $Y=X\beta+\varepsilon$, 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.