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This topic has appeared in the English Wikipedia rankings 1 time. It first appeared on 2026-07-23 and was most recently seen on 2026-07-23.
In statistics, the Lehmann–Scheffé theorem provides sufficient conditions for the existence of a best unbiased estimator in a statistical model. The theorem states that any unbiased estimator for a quantity that depends on the data only through a complete, sufficient statistic is the unique uniformly minimum-variance unbiased estimator (UMVUE) of that quantity. The Lehmann–Scheffé theorem is named after Erich Leo Lehmann and Henry Scheffé, given their two early papers.
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