Abstract
We present the upper and lower bounds of the L p norms Δnp of order n -1 for all p, 1 ≤ p ≤∞, in the central limit theorem for independent identically distributed random variables with the finite fourth and zero first and third moments of summands. The proof of the upper estimates of the norms Δnp is based on a linear differential equation formed from the characteristic function of the sum of independent random variables.
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REFERENCES
R. P. Agnew, Estimates for global central limit theorems, Ann. Math. Statist., 28(1), 26–42 (1957).
R. N. Bhattacharya and R. Ranga Rao, Normal Approximation and Asymptotic Expansions, Wiley, New York (1976).
R. V. Erickson, On an L p version of the Berry-Esséen theorem for independent and m-dependent random variables, Ann. Probab., 1(3), 497–503 (1973).
R. V. Erickson, L 1 bounds for asymptotic normality of m-dependent sums using Stein's technique, Ann. Probab., 2(3), 522–529 (1974).
P. Hall, Rates of Convergence in the Central Limit Theorem, Pitman, London (1982).
P. Hall and A. D. Barbour, Reversing the Berry-Esséen inequality, Proc. Amer. Math. Soc., 90(1), 107–110 (1984).
C. C. Heyde and T. Nakata, On the asymptotic equivalence of L p metrics for convergence to normality, Z. Wahrsch. verw. Geb., 68(1), 97–106 (1984).
I. A. Ibragimov and Yu. V. Linnik, Independent and Stationary Connected Variables [in Russian], Nauka, Moscow (1965).
M. Loeve, Probability Theory [in Russian], Izd. Inostr. Liter., Moscow (1962).
A. V. Prokhorov, V. G. Ushakov, N. G. Ushakov, Problems of Probability Theory [in Russian], Nauka, Moscow (1986).
V. V. Petrov, Limit Theorems for Sums of Independent Random Variables [in Russian], Nauka, Moscow (1987).
Y. Maesono, Lower bounds for the normal approximation of a sum of independent random variables, Austral. J. Statist., 31(3), 475–485 (1989).
Ch. Stein, A bound for the error in the normal approximation to the distribution of a sum of dependent random variables, in: Proc. Math. Statist. and Probab., Vol. 2, Univ. Calif. Press, Berkeley, CA (1972), pp. 583–602.
J. Sunklodas, On lower bounds for L p norms in the central limit theorem for independent and m-dependent random variables, Lith. Math. J., 41(3), 292–305 (2001).
A. N. Tikhomirov, On the rate of convergence in the central limit theorem for weakly dependent variables, Theory Probab. Appl., 25(4), 790–809 (1980).
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Sunklodas, J. On the Rate of Convergence of Lp Norms in the Central Limit Theorem for Independent Random Variables. Lithuanian Mathematical Journal 42, 296–307 (2002). https://doi.org/10.1023/A:1020278010643
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DOI: https://doi.org/10.1023/A:1020278010643