An unbiased estimator is a statistical estimator whose expected value equals the true value of the parameter it estimates. This means that, on average, it produces estimates that are correct, ensuring that systematic errors do not distort the results. In statistics, having an unbiased estimator is crucial for accurate inference and relates closely to concepts like expected value, sampling distributions, and the Rao-Blackwell theorem, which provides ways to improve estimators.
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