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The Chebyshev-Hermite moments and their applications to asymptotic expansions (Q1600648)

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scientific article; zbMATH DE number 1756332
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English
The Chebyshev-Hermite moments and their applications to asymptotic expansions
scientific article; zbMATH DE number 1756332

    Statements

    The Chebyshev-Hermite moments and their applications to asymptotic expansions (English)
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    16 June 2002
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    Define the Chebyshev-Hermite moments of distribution \(P\) by \[ \theta_k= \theta_k(P)= \int^\infty_{-\infty} H_k(x) P(dx),\qquad k= 0,1,2,\dots, \] where \(H_k\) is the Chebyshev-Hermite polynomial of order \(k\). In this paper asymptotic expansions based on the Chebyshev-Hermite moments in the central limit theorem are derived. Explicit estimates of approximation errors are given.
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    central limit theorem
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    asymptotic expansions
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    Chebyshev-Hermite polynomials
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