A non-classical estimate of the rate of convergence in the multidimensional central limit theorem which takes into account large deviations
Teoriâ veroâtnostej i ee primeneniâ, Tome 23 (1978) no. 3, pp. 692-697

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In the paper, an estimate for the rate of convergence of sums of independent random vectors is obtained which is non-uniform and non-classical (i. e. it depends on the closeness of summand's distributions to the normal one). This estimate takes also into account the tail behaviour of summands' distributions.
@article{TVP_1978_23_3_a25,
     author = {S. Ya. \v{S}orgin},
     title = {A non-classical estimate of the rate of convergence in the multidimensional central limit theorem which takes into account large deviations},
     journal = {Teori\^a vero\^atnostej i ee primeneni\^a},
     pages = {692--697},
     publisher = {mathdoc},
     volume = {23},
     number = {3},
     year = {1978},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/TVP_1978_23_3_a25/}
}
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S. Ya. Šorgin. A non-classical estimate of the rate of convergence in the multidimensional central limit theorem which takes into account large deviations. Teoriâ veroâtnostej i ee primeneniâ, Tome 23 (1978) no. 3, pp. 692-697. http://geodesic.mathdoc.fr/item/TVP_1978_23_3_a25/