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Asymptotic approximations for multivariate integrals with an application to multinormal probabilities

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  • Breitung, K.
  • Hohenbichler, M.

Abstract

The efficient computation of multinormal integrals is an important problem of multivariate statistics. In this paper it is shown, that using methods of asymptotic analysis, asymptotic expansions for multinormal integrals can be obtained. These results are an extension of a result obtained by Ruben (1964, J. Res. Nat. Bur. Standards B68, No. 1 3-11). While the approximations of Ruben are valid only for domains bounded by hyperplanes, the results given here also apply to domains with nonlinear boundaries.

Suggested Citation

  • Breitung, K. & Hohenbichler, M., 1989. "Asymptotic approximations for multivariate integrals with an application to multinormal probabilities," Journal of Multivariate Analysis, Elsevier, vol. 30(1), pages 80-97, July.
  • Handle: RePEc:eee:jmvana:v:30:y:1989:i:1:p:80-97
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    Cited by:

    1. Papaioannou, Iason & Straub, Daniel, 2021. "Variance-based reliability sensitivity analysis and the FORM α-factors," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    2. Hanak, D.P. & Kolios, A.J. & Biliyok, C. & Manovic, V., 2015. "Probabilistic performance assessment of a coal-fired power plant," Applied Energy, Elsevier, vol. 139(C), pages 350-364.

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