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arxiv: 1204.2763 · v1 · pith:56H6RGV6new · submitted 2012-04-12 · 🧮 math.ST · stat.TH

A Cram\'er-Rao inequality for non differentiable models

classification 🧮 math.ST stat.TH
keywords boundcramer-raomodelsalthoughalwayscomputeconstruction
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We compute a variance lower bound for unbiased estimators in specified statistical models. The construction of the bound is related to the original Cram\'er-Rao bound, although it does not require the differentiability of the model. Moreover, we show our efficiency bound to be always greater than the Cram\'er-Rao bound in smooth models, thus providing a sharper result.

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