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Speed of convergence in the central limit theorem for m-dependent random fields

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Literature Cited

  1. S. N. Bernshtein, “Extension of the limit theorem of probability theory to sums of independent variables,” in: Collected Works [in Russian], Nauka, Moscow (1964), pp. 121–176.

    Google Scholar 

  2. A. V. Bulinskii, “On the central limit theorem for random fields,” in: Second Vilnius Conference on Probability Theory and Mathematical Statistics [in Russian], Vol. 1, Vilnius (1977), pp. 69–70.

  3. A. V. Bulinskii, “On the speed of convergence in the central limit theorem for additive random functions,” Dokl. Akad. Nauk SSSR,235, No. 4, 741–744 (1977).

    Google Scholar 

  4. V. A. Egorov, “Some limit theorems for m-dependent random variables,” Liet. Mat. Sb.,10, No. 1, 51–59 (1970).

    Google Scholar 

  5. W. Hoeffding and H. Robbins, “The central limit theorem for dependent random variables,” Duke Math. J.,15, 773–780 (1948).

    Google Scholar 

  6. I. A. Ibragimov, “Some limit theorems for stationary processes,” Teor. Veroyatn. Primen.,7, No. 4, 361–392 (1962).

    Google Scholar 

  7. V. A. Malyshev, “Central limit theorem for Gibbsian random fields,” Dokl. Akad. Nauk SSSR,224, No. 1, 35–38 (1975).

    Google Scholar 

  8. B. S. Nakhapetyan, “Central limit theorem for random fields satisfying a strong mixing condition,” Dokl. Akad. Nauk Arm. SSR, No. 4, 210–214 (1975).

    Google Scholar 

  9. V. V. Petrov, “On the central limit theorem for m-dependent random variables,” in: Memoirs of the All-Union Conference on Probability Theory and Mathematical Statistics, Erevan (1960), pp. 38–44.

  10. W. Phillip, “The central limit theorem for mixing sequences of random variables,” Z. Wahr. Verw. Geb.,12, 155–171 (1969).

    Google Scholar 

  11. W. Phillip, “The Remainder in the central limit theorem for mixing stochastic processes,” Ann. Math. Statist.,40, 601–609 (1969).

    Google Scholar 

  12. B. A. Ryauba, “Estimate of the speed of convergence in the central limit theorem for random fields,” in: Second Vilnius Conference on Probability Theory and Mathematical Statistics [in Russian], Vol. 2, Vilnius (1977), pp. 144–145.

  13. V. Statulevičius, “Limit theorems for dependent random variables under various regularity conditions,” in: Proceedings of the International Congress of Mathematicians, Vancouver (1975), pp. 173–181.

  14. V. Statulevičius, “Application of semi-invariants to asymptotic analysis of distributions of random processes,” Multivariate Anal.,4, 325–337.

  15. Ch. Stein, “A bound for the error in the Normal approximation to the distribution of a sum of dependent random variables,” in: Proc. Sixth Berkeley Symposium on Math. Statist. and Probability, Univ. of California Press, Berkeley (1973), pp. 583–602.

    Google Scholar 

  16. V. V. Shergin, “Estimate of the remainder term in the central limit theorem for m-dependent random variables,” Liet. Mat. Sb.,16, No. 4, 245–250 (1976).

    Google Scholar 

  17. A. N. Tikhomirov, “On the speed of convergence in the central limit theorem for weakly dependent variables,” Vestn. Leningr. Gos. Univ.,2, No. 7, 158–159 (1976).

    Google Scholar 

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Institute of Mathematics and Cybernetics, Academy of Sciences of the Lithuanian SSR. Translated from Litovskii Matematicheskii Sbornik (Lietuvos Matematikos Rinkinys), Vol. 20, No. 1, pp. 157–164, January–March, 1980.

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Riauba, B. Speed of convergence in the central limit theorem for m-dependent random fields. Lith Math J 20, 71–75 (1980). https://doi.org/10.1007/BF00970858

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