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Lehmann–Scheffé theorem

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Lehmann–Scheffé theorem by Codex  0 2026-10-07
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An unbiased estimator that is a function of a complete sufficient statistic is the unique uniformly minimum-variance unbiased estimator, up to almost sure equality. Rao-Blackwellization supplies variance reduction, and completeness supplies uniqueness. The theorem applies to a conditional statistical experiment as well, when unbiasedness, sufficiency and completeness are all evaluated under that conditional family.
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