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Improved Bounds and Simulation Procedures on the Value of the Multivariate Normal Probability Distribution Function

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Abstract

Improved bounds and simulation procedures on the value of the multivariate normal probability distribution function value are given in the paper. The author's variance reduction technique was based on the Bonferroni bounds involving the first two binomial moments only. The new variance reduction technique is adapted to the most refined new bounds developed in the last decade for the estimation the probability of union respectively intersection of events. Numerical test results prove the efficiency of the simulation procedures described in the paper.

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References

  1. M. Beckers and A. Haegamans, Comparison of numerical integration techniques for multivariate normal integrals, Preprint, Computer Science Department, Catholic University of Leuven, Belgium (1992).

    Google Scholar 

  2. J. Berntsen, T.O. Espelid and A. Genz, Algorithm 698: DCUHRE—An adaptive multidimensional integration routine for a vector of integrals, ACM Transactions on Mathematical Software 17 (1991) 452–456.

    Google Scholar 

  3. J. Bukszár and A. Prékopa, Probability bounds with cherry-trees, Rutcor Research Report, RRR 04–99, revised version RRR 44–2000.

  4. J. Bukszár and T. Szántai, Probability bounds given by hyper-cherry-trees, Alkalmazott Matematikai Lapok 19 (1999) 69–85 (in Hungarian).

    Google Scholar 

  5. I. Deák, Three digit accurate multiple normal probabilities, Numerische Mathematik 35 (1980) 369–380.

    Google Scholar 

  6. A. Genz, Numerical computation of the multivariate normal probabilities, Journal of Computational and Graphical Statistics 1 (1992) 141–150.

    Google Scholar 

  7. D. Hunter, Bounds for the probability of a union, Journal of Applied Probability 13 (1976) 597–603.

    Google Scholar 

  8. A. Prékopa, Stochastic Programming(Kluwer Academic, Budapest, 1995).

    Google Scholar 

  9. A. Prékopa, B. Vizvári and G. Regõs, Lower and upper bounds on probabilities of boolean functions of events, Rutcor Research Report, RRR 36–95.

  10. M. Schervish, Multivariate normal probabilities with error bound, Applied Statistics 33 (1984) 81–87.

    Google Scholar 

  11. T. Szántai, An algorithm for calculating multiple normal distribution function values and gradient vector of that, Alkalmazott Matematikai Lapok 2 (1976) 27–39 (in Hungarian).

    Google Scholar 

  12. T. Szántai, Evaluation of a special multivariate gamma distribution function, Mathematical Programming Study 27 (1986) 1–16.

    Google Scholar 

  13. I. Tomescu, Hypertrees and bonferroni inequalities, Journal of Combinatorial Theory, Series B 41 (1986) 209–217.

  14. K.J. Worsley, An improved Bonferroni inequality and applications, Biometrika 69 (1982) 297–302.

    Google Scholar 

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Szántai, T. Improved Bounds and Simulation Procedures on the Value of the Multivariate Normal Probability Distribution Function. Annals of Operations Research 100, 85–101 (2000). https://doi.org/10.1023/A:1019211000153

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  • DOI: https://doi.org/10.1023/A:1019211000153

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