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Maximum likelihood / Completeness / Bayes estimator / Rao–Blackwell theorem / Loss function / Fisher information / Simple extension / Statistics / Statistical theory / Estimation theory


1 Lecture 16. Lehmann-Scheff´ e Theorem 16.1 Definition Suppose that Y is a sufficient statistic for θ. We say that Y is complete if there are
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Document Date: 2013-08-30 13:01:46

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