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On Error Bounds for Approximations to Aggregate Claims Distributions

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  • Dhaene, Jan
  • Sundt, Bjørn

Abstract

In the present paper we discuss error bounds for approximations to aggregate claims distributions. We consider approximations to convolutions by approximating each of the distributions and taking the convolution of these approximations. For compound distributions we consider two classes of approximations. In the first class we approximate the counting distribution, but keep the severity distribution unchanged, whereas in the second class we approximate the severity distribution, but keep the counting distribution unchanged. We finally look at some examples.

Suggested Citation

  • Dhaene, Jan & Sundt, Bjørn, 1997. "On Error Bounds for Approximations to Aggregate Claims Distributions," ASTIN Bulletin, Cambridge University Press, vol. 27(2), pages 243-262, November.
  • Handle: RePEc:cup:astinb:v:27:y:1997:i:02:p:243-262_01
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    Cited by:

    1. Roos, Bero, 2007. "On variational bounds in the compound Poisson approximation of the individual risk model," Insurance: Mathematics and Economics, Elsevier, vol. 40(3), pages 403-414, May.
    2. Sundt, Bjorn, 2000. "On error bounds for approximations to multivariate distributions," Insurance: Mathematics and Economics, Elsevier, vol. 27(1), pages 137-144, August.
    3. Yang, Jingping & Zhou, Shulin & Zhang, Zhenyong, 2005. "The compound Poisson random variable's approximation to the individual risk model," Insurance: Mathematics and Economics, Elsevier, vol. 36(1), pages 57-77, February.

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