Empirical likelihood confidence intervals for the differences of quantiles with missing data
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Abstract
Suppose there are two nonparametric populations X and Y with missing data on both of them. Random imputation is used to fill in missing data, so the “completeâ€samples of X and Y can be constructed. Then the empirical likelihood confidence intervals for the differences of quantile are constructed.
Key words：Empirical likelihood; Confidence interval; Quantile; Missing data; Imputation.
2000 MR subject classification: 62G05, 62E20
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