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Abstract:
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Quantile estimation is important for a wide range of applications. Constructing confidence intervals around these estimates, however, is a more difficult problem because of the discrete nature of order statistics. Existing distribution-free techniques can be divided roughly into four categories: pivotal quantities, resampling, interpolation, and empirical likelihood methods. A new method based on pivotal quantities is introduced and a simulation study is used to compare performance across methods.
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