On the rate of convergence in the global central limit theorem for random sums of independent random variables |
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Authors: | Jonas Kazys Sunklodas |
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Affiliation: | 1.Institute of Mathematics and Informatics,Vilnius University,Vilnius,Lithuania |
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Abstract: | We present upper bounds of the integral ( {int}_{-infty}^{infty }{left|xright|}^lleft|mathbf{P}left{{Z}_N for 0 ≤ l ≤ 1 + δ, where 0 < δ ≤ 1, Φ(x) is a standard normal distribution function, and Z N = ( {S}_N/sqrt{mathbf{V}{S}_N} ) is the normalized random sum with variance V S N > 0 (S N = X 1 + · · · + X N ) of centered independent random variables X 1 ,X 2 , . . . . The number of summands N is a nonnegative integer-valued random variable independent of X 1 ,X 2 , . . . . |
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