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Empirical likelihood confidence intervals for the differences of quantiles with missing data

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Abstract

Suppose that there are two nonparametric populations x and y with missing data on both of them. We are interested in constructing confidence intervals on the quantile differences of x and y. Random imputation is used. Empirical likelihood confidence intervals on the differences are constructed.

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Authors and Affiliations

  1. School of Mathematical Sciences, Guangxi Normal University, Guilin, Guangxi, 541004, China

    Yong-song Qin & Yong-jiang Qian

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  1. Yong-song Qin
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  2. Yong-jiang Qian
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Correspondence to Yong-song Qin.

Additional information

Supported by the National Natural Science Foundation of China (No. 10661003) and Natural Science Foundation of Guangxi (No. 0728092).

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Qin, Ys., Qian, Yj. Empirical likelihood confidence intervals for the differences of quantiles with missing data. Acta Math. Appl. Sin. Engl. Ser. 25, 105–116 (2009). https://doi.org/10.1007/s10255-006-6116-0

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  • DOI: https://doi.org/10.1007/s10255-006-6116-0

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