The Conceptual Proof of the Cramer-Rao Lower Bound for Estimator Variance
A common pitfall is applying the CRLB to distributions where the support depends on the parameter (e.g., Uniform). In such cases, the 'regularity conditions' fail because we cannot differentiate under the integral sign, often leading to estimators that 'beat' the bound.
Institutional Reference: Applied Statistics
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