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The Cramer-Rao inequality is a fundamental result in the field of statistical estimation, particularly within quantitative methods. It provides a lower bound for the variance of any unbiased estimator of a parameter, establishing a benchmark for the efficiency of estimators. This inequality is derived from the concepts of likelihood functions and Fisher information. Fisher information measures the amount of information that an observable random ____ ______ __________ _________ ______ ____ ___ ______ ________ ______ ___.
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