Abstract
The technical validity of the saddlepoint technique for approximating the resampling distribution of the sample mean of i.i.d. and non-i.i.d. random variables is examined. The relative errors are shown to occur at the same rate as in parametric analysis. Disereteness in resampling problems is accounted for. The uniformity of the errors is also explored.
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This work was completed while the author was at the University of Texas at Austin.
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Wang, S. Saddlepoint approximations in resampling analysis. Ann Inst Stat Math 42, 115–131 (1990). https://doi.org/10.1007/BF00050783
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DOI: https://doi.org/10.1007/BF00050783