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