Rates of convergence in the asymptotic normality for some local maximum estimators (Q1366379)

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scientific article; zbMATH DE number 1059800
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Rates of convergence in the asymptotic normality for some local maximum estimators
scientific article; zbMATH DE number 1059800

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    Rates of convergence in the asymptotic normality for some local maximum estimators (English)
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    29 October 1997
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    Asymptotic normality of estimators defined by maximizing a random criterion function is considered. Assuming smooth stochastic differentiability (stronger than the Hoffmann-Jørgensen stochastic differentiability) of the criterion function the author derives the rate of convergence in a general result on asymptotic normality of local maximum estimators. Examples and applications of the results, including Huber's \(M\)-estimate, are given.
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    central limit theorem
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    empirical process
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    \(M\)-estimate
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    smooth stochastic differentiability
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