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This article is cited in 9 scientific papers (total in 9 papers)
Lower Bounds on Large Deviation Probabilities for Sums of Independent Random Variables
S. V. Nagaev Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences
Abstract:
This paper derives the lower estimates for large deviation probabilities for sums of independent random variables. The area of application of these estimates is described in terms of a Lyapunov ratio. The obtained estimates are compared with lower estimates obtained by Kolmogorov, Feller, Lenart, and Arkhangelskii.
Keywords:
large deviations, method of conjugate distributions, independent random variables, Kolmogorov inequality, ratio, Berry–Esseen estimators, convolution of distribution functions, Bernstein condition, characteristic function.
Received: 02.07.1998
Citation:
S. V. Nagaev, “Lower Bounds on Large Deviation Probabilities for Sums of Independent Random Variables”, Teor. Veroyatnost. i Primenen., 46:1 (2001), 50–73; Theory Probab. Appl., 46:1 (2002), 79–102
Linking options:
https://www.mathnet.ru/eng/tvp3951https://doi.org/10.4213/tvp3951 https://www.mathnet.ru/eng/tvp/v46/i1/p50
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Abstract page: | 342 | Full-text PDF : | 203 |
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