Cramér–Rao Lower Bound

A lower bound on the variance (or covariance matrix) of any unbiased estimator of a parameter, expressed in terms of the Fisher information: for a scalar parameter, Var(theta_hat) >= 1 / I(theta); in multivariate form the covariance matrix is bounded below by the inverse Fisher information matrix under regularity conditions.