A geometer's view of the the Cramér-Rao bound on estimator variance

Abstract

The classical Cramér-Rao inequality gives a lower bound for the variance of a unbiased estimator of an unknown parameter, in some statistical model of a random process. In this note we rewrite the statment and proof of the bound using contemporary geometric language.

Added classical bound in terms of Fisher information matrix