Abstract
We repair numerical difficulties in applying saddlepoint tail probability approximations when the ordinate at which the approximation is evaluated is near the mean of the distribution approximated. These modifications apply to double saddlepoint approximations to conditional distributions as well.
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References
Huzurbazar, S., and Huzurbazar, A. V. (1999). Survival and hazard functions for progressive diseases using saddlepoint approximations, Biometrics, 55, 198–203.
Kolassa, J. E. (1997). Series Approximation Methods in Statistics, 2nd ed., Springer, New York.
McCullagh, P. (1987). Tensor Methods in Statistics, Chapman and Hall, London.
Reid, N. (1988). Saddlepoint methods and statistical inference, Statist. Sci., 3, 213–238.
Skovgaard, I. M. (1987). Saddlepoint expansions for conditional distributions, J. Appl. Probab., 24, 875–887.
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Yang, B., Kolassa, J.E. Saddlepoint Approximation for the Distribution Function Near the Mean. Annals of the Institute of Statistical Mathematics 54, 743–747 (2002). https://doi.org/10.1023/A:1022455116811
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DOI: https://doi.org/10.1023/A:1022455116811