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A Non-Uniform Bound of the Remainder Term in the Central Limit Theorem for Bernoulli Random Variables

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A bound for the remainder in the Esseen expansion is obtained in the case of Bernoulli random variables. The bound consists of two parts, uniform and non-uniform. The uniform part depends only on n and p, and the non-uniform part depends also on x. This bound is compared with other known bounds. It is shown how this result can be applied to the problem of the absolute constant in the Berry–Esseen inequality.

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References

  1. S. V. Nagaev and V. I. Chebotarev, “On the bound of proximity of the binomial distribution to the normal one,” Theory Probab. Appl., 56, No. 2, 213–239 (2012).

    Article  MathSciNet  MATH  Google Scholar 

  2. C.-G. Esseen, “A moment inequality with an application to the central limit theorem,” Scand. Actuar. J., 3–4, 160–170 (1956).

    Article  MathSciNet  Google Scholar 

  3. V. M. Zolotarev, “An absolute estimate of the remainder in the central limit theorem,” Teor. Veroyatn. Primen., 11, No. 1, 108–119 (1966).

    MathSciNet  Google Scholar 

  4. V. M. Zolotarev, “A sharpening of the inequality of Berry–Esseen,” Z. Wahrscheinlichkeitstheor. verw. Geb., 8, 332–342 (1967).

    Article  MathSciNet  MATH  Google Scholar 

  5. I.G. Shevtsova, “On the smoothing inequality,” Dokl. Akad. Nauk, 430, No. 5, 600–602 (2010).

    Google Scholar 

  6. H. Prawitz, “Limits for a Distributions, if the Characteristic Function is given in a Finite Domain,” Skand. Aktuar. J., 55, 138–154 (1972).

    MathSciNet  Google Scholar 

  7. C.-G. Esseen, “Fourier analysis of distribution function. A muthematical study of the Laplace–Gaussian law,” Acta Math., 77, 1–125 (1945).

    Article  MathSciNet  MATH  Google Scholar 

  8. B. V. Gnedenko and A.N. Kolmogorov, Limit Distributions for Sums of Independent Random Variables, Gos. Izd. Tekhn.-Teor. Lit., Moscow, Leningrad (1949).

    Google Scholar 

  9. H. Bergstr¨om, “On asymptotic expansions of probability functions,” Skand. Aktuar. J., 1–2, 1–34 (1951).

  10. A.M. Zubkov and A.A. Serov, “A complete proof of universal inequalities for distribution function of binomial law,” Theory Probab. Appl., 57, No. 3, 539–544 (2013).

    Article  MathSciNet  MATH  Google Scholar 

  11. D. Alfers and H. Dinges, “A normal approximation for Beta and Gamma tail probabilities,” Z. Wahrscheinlichkeitstheor. Verw. Geb., 65, 399–420 (1984).

    Article  MathSciNet  MATH  Google Scholar 

  12. J. V. Uspensky, Introduction to Mathematical Probability, McGraw Hill, New York (1937).

    MATH  Google Scholar 

  13. I. G. Shevtsova, Optimization of the structure of the moment bounds for accuracy of normal approximation for the distributions of sums of independent random variables, Dissertation for the degree of Doctor of Physico–Mathematical Sciences, Moscow State University, Moscow (2013).

    Google Scholar 

  14. W. Feller. “Generalization of a probability limit theorem of Cram´er,” Trans. Am. Math. Soc., 54, No. 3, 361–372 (1943).

    MathSciNet  MATH  Google Scholar 

  15. C. L´enart, “On certain theorems of Berry and a limit theorem of Feller,” Mat. ˇ Casopis, 18, No. 1, 59–75 (1968).

  16. V.V. Senatov, “About non-uniform bounds of approximation accuracy,” Theory Probab. Appl., 59, No. 2, 276–312 (2013).

    Google Scholar 

  17. A.C. Berry, “The accuracy of the Gaussian approximation to the sum of independent variates”, Trans. Am. Math. Soc., 49, 122–136 (1941).

    Article  Google Scholar 

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Correspondence to S. V. Nagaev.

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Proceedings of the XXXII International Seminar on Stability Problems for Stochastic Models, Trondheim, Norway, June 16–21, 2014.

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Nagaev, S.V., Chebotarev, V.I. & Zolotukhin, A.Y. A Non-Uniform Bound of the Remainder Term in the Central Limit Theorem for Bernoulli Random Variables. J Math Sci 214, 83–100 (2016). https://doi.org/10.1007/s10958-016-2759-4

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