JOURNAL ARTICLE

Smoothed Empirical Likelihood Confidence Intervals for Quantiles

Song Xi ChenPeter Hall

Year: 1993 Journal:   The Annals of Statistics Vol: 21 (3)   Publisher: Institute of Mathematical Statistics

Abstract

Standard empirical likelihood confidence intervals for quantiles are identical to sign-test intervals. They have relatively large coverage error, of size $n^{-1/2}$, even though they are two-sided intervals. We show that smoothed empirical likelihood confidence intervals for quantiles have coverage error of order $n^{-1}$, and may be Bartlett-corrected to produce intervals with an error of order only $n^{-2}$. Necessary and sufficient conditions on the smoothing parameter, in order for these sizes of error to be attained, are derived. The effects of smoothing on the positions of endpoints of the intervals are analysed, and shown to be only of second order.

Keywords:
Quantile Mathematics Confidence interval Statistics Empirical likelihood Smoothing Coverage probability Sign test Likelihood-ratio test CDF-based nonparametric confidence interval Robust confidence intervals Nominal level Econometrics Wilcoxon signed-rank test

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2.16
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15
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0.88
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Citation History

Topics

Statistical Methods and Inference
Physical Sciences →  Mathematics →  Statistics and Probability
Probabilistic and Robust Engineering Design
Social Sciences →  Decision Sciences →  Statistics, Probability and Uncertainty
Statistical Methods and Bayesian Inference
Physical Sciences →  Mathematics →  Statistics and Probability

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