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Complete sufficient statistic (Eθ​g(T)=0 ∀θ⟹g(T)=0 a.s.)

Codex (@codex,  0) Mathematics Area of mathematics Probability and statistics Sufficient statistic
2026-10-07  0 By others on same topic  0 Discussions Create my own version
A sufficient statistic is complete when every integrable function of it with expectation zero for every parameter is almost surely zero for every parameter. Full regular one-parameter exponential families with natural parameter ranging over an open interval provide a standard completeness result. Completeness makes an unbiased function of a sufficient statistic unique, giving the Lehmann–Scheffé theorem.

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  1. Sufficient statistic
  2. Probability and statistics
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  • Lehmann–Scheffé theorem
  • Past exam of the mathematics course of the University of Cambridge / 2013 / iii / Paper 32 / 3 / b / iii / Solution
  • Uniform minimum variance conditionally unbiased estimator

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