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The classical Cram\'er-Rao inequality gives a lower bound for the variance ofa unbiased estimator of an unknown parameter, in some statistical model of arandom process. In this note we rewrite the statment and proof of the boundusing contemporary geometric language.

A geometer's view of the the Cram\'er-Rao bound on estimator variance