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The Rate of Convergence for Subexponential Distributions and Densities

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Abstract

A distribution function F on the nonnegative real line is called subexponential if limx↑∞(1-F *n(x)/(1 - F(x)) = n for all n ≥ 2, where F *n denotes the n‐fold Stieltjes convolution of F with itself. In this paper, we consider the rate of convergence in the above definition and in its density analogue. Among others we discuss the asymptotic behavior of the remainder term R n (x) defined by R n (x) = 1 - F*n(x) - n(1 - F(x)) and of its density analogue rn (x) = -(Rn (x))'. Our results complement and complete those obtained by several authors. In an earlier paper, we obtained results of the form n(x) = O(1)f(x)R(x), where f is the density of F and R(x) = ∫ x0 (1-F(y))dy. In this paper, among others we obtain asymptotic expressions of the form R n(x)= n2 R2(x) + O(1)(-f'(x))R2(x) where f' is the derivative of f.

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REFERENCES

  1. A. Baltrūnas and E. Omey, The rate of convergence for subexponential distributions, Lith. Math. J., 38(1), 1–14 (1998).

    Google Scholar 

  2. N. H. Bingham, C. M. Goldie, and J. L. Teugels, Regular Variation, Encyclopedia of Mathematics and its Applications, 27, Cambridge University Press (1987).

  3. V. P. Chistyakov, A theorem on sums of independent positive random variables and its application to branching processes, Theory Probab. Appl., 9, 640–648 (1964).

    Google Scholar 

  4. J. Chover, P. Ney, and S. Wainger, Functions of probability measures, J. Anal. Math., 26, 255–302 (1973).

    Google Scholar 

  5. M. V. Johns, Non-parametrical empirical Bayes procedures, Ann. Math. Stat., 28, 649–669 (1957).

    Google Scholar 

  6. C. Klüppelberg, Subexponential distributions and integrated tails, J. Appl. Probab., 25, 132–141 (1988).

    Google Scholar 

  7. E. Omey and E. Willekens, Second-order behaviour of the tail of a subordinated probability distribution, Stochastic Process. Appl., 21, 339–353 (1986).

    Google Scholar 

  8. E. Omey and E. Willekens, On the behaviour of distributions subordinated to a distribution with finite mean, Comm. Statist. Stochastic Models, 3, 311–342 (1987).

    Google Scholar 

  9. E. Omey, Asymptotic properties of convolution products of functions, Publ. de l'Inst. Math. (N.S.), 43(57), 41–57 (1988).

    Google Scholar 

  10. E. Omey, The difference of the convolution product and the sum of density functions, in: Stability Problems for Stochastic Models, V. M. Zolotarev (Eds.), TVP/VSP, Moscow/Utrecht (1994), pp. 176–178.

    Google Scholar 

  11. E. Omey, On the difference between the product and the convolution product of distribution functions, Publ. Inst. Math. Beograd (N.S.), 55(69), 111–145 (1994).

    Google Scholar 

  12. J. L. Teugels, The class of subexponential distributions, Ann. Probab., 3, 1000–1011 (1975).

    Google Scholar 

  13. E. Willekens, Higher-order theory for subexponential distributions [in Dutch], Doctoral Dissertation, Katholieke Universiteit Leuven (1986).

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Baltrūnas, A., Omey, E. The Rate of Convergence for Subexponential Distributions and Densities. Lithuanian Mathematical Journal 42, 1–14 (2002). https://doi.org/10.1023/A:1015016732660

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