The statistical information contained in additional observations (Q1096265)

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scientific article; zbMATH DE number 4030689
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The statistical information contained in additional observations
scientific article; zbMATH DE number 4030689

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    The statistical information contained in additional observations (English)
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    1986
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    Within the setting of \textit{L. LeCam's} theory of comparison of experiments [Asymptotic methods in statistical decision theory. (1986; Zbl 0605.62002)] the pseudo-distance \(\Delta\) (\({\mathcal E}^ n,{\mathcal E}^{n+r_ n})\) between the powers of an experiment \({\mathcal E}\) defined by the measures \(P_{\theta}(\theta \in \Theta)\) are studied asymptotically as \(n\to \infty\). If \({\mathcal E}\) admits \(\sqrt{n}\)- constistent estimates, then \(\Delta\) (\({\mathcal E}^ n,{\mathcal E}^{n+r})\leq Cr/n\) for some constant \(C>0\). If \(\Theta \subset {\mathbb{R}}^ k\) and \({\mathcal E}\) can be locally approximated by a homoscedastic Gaussian experiment, then for \(r_ n=o(n)\) \textit{J. Helgeland}'s lower bound [Z. Wahrscheinlichkeitstheor. Verw. Geb. 59, 77-100 (1982; Zbl 0479.62006)] can be improved. Helgeland's upper bound turns out to be sharp. Tools for the proofs of the results are LeCam's randomization criterion for the deficiency \(\delta\) (\({\mathcal E},{\mathcal F})\) between experiments \({\mathcal E}\) and \({\mathcal F}\) and its representation in terms of the Bayes risks corresponding to \({\mathcal E}\) and \({\mathcal F}\), respectively.
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    insufficiency
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    gain of information
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    additional observations
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    asymptotically Gaussian experiments
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    binomial family
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    pseudo-distance
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    powers of an experiment
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    constistent estimates
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    homoscedastic Gaussian experiment
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    LeCam's randomization criterion
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    deficiency
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    Bayes risks
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