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Precise lim sup behavior of probabilities of large deviations for sums of i.i.d. random variables

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  • Deli Li
  • Andrew Rosalsky

Abstract

Let { X , X n ; n ≥ 1 } be a sequence of real-valued i.i.d. random variables and let S n = ∑ i = 1 n X i , n ≥ 1 . In this paper, we study the probabilities of large deviations of the form P ( S n > t n 1 / p ) , P ( S n < − t n 1 / p ) , and P ( | S n | > t n 1 / p ) , where t > 0 and 0 < p < 2 . We obtain precise asymptotic estimates for these probabilities under mild and easily verifiable conditions. For example, we show that if S n / n 1 / p → P 0 and if there exists a nonincreasing positive function ϕ ( x ) on [ 0 , ∞ ) which is regularly varying with index α ≤ − 1 such that lim sup x → ∞ P ( | X | > x 1 / p ) / ϕ ( x ) = 1 , then for every t > 0 , lim sup n → ∞ P ( | S n | > t n 1 / p ) / ( n ϕ ( n ) ) = t p α .

Suggested Citation

  • Deli Li & Andrew Rosalsky, 2004. "Precise lim sup behavior of probabilities of large deviations for sums of i.i.d. random variables," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2004, pages 1-12, January.
  • Handle: RePEc:hin:jijmms:894893
    DOI: 10.1155/S0161171204406516
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    Cited by:

    1. Hanna Döring & Peter Eichelsbacher, 2013. "Moderate Deviations via Cumulants," Journal of Theoretical Probability, Springer, vol. 26(2), pages 360-385, June.

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