Cramer–Rao inequality.
The Cramer–Rao inequality is a fundamental result in statistics that provides a lower bound on the variance of an unbiased estimator. It states that the variance of any unbiased estimator \(\hat{\theta}\) of a parameter \(\theta\) cannot be smaller than the reciprocal ________ ______ _____ ___ ___ _______ ________.
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