An estimate from below of the remainder in the central limit theorem for a sum of independent random variables with finite moments of a high order
Teoriâ veroâtnostej i ee primeneniâ, Tome 47 (2002) no. 1, pp. 169-178

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This paper finds optimal estimates from below for a distance between a distribution function of a sum of independent random variables with finite moments of a high order and the standard normal distribution function.
Keywords: sum of independent random variables, central limit theorem, estimate from below.
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     author = {L. V. Rozovskii},
     title = {An estimate from below of the remainder in the central limit theorem for a sum of independent random variables with finite moments of a high order},
     journal = {Teori\^a vero\^atnostej i ee primeneni\^a},
     pages = {169--178},
     publisher = {mathdoc},
     volume = {47},
     number = {1},
     year = {2002},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/TVP_2002_47_1_a14/}
}
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L. V. Rozovskii. An estimate from below of the remainder in the central limit theorem for a sum of independent random variables with finite moments of a high order. Teoriâ veroâtnostej i ee primeneniâ, Tome 47 (2002) no. 1, pp. 169-178. http://geodesic.mathdoc.fr/item/TVP_2002_47_1_a14/