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

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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Bibliographic Details
Published in:Acta Mathematicae Applicatae Sinica 2009, Vol.25 (1), p.105-116
Main Authors: Qin, Yong-song, Qian, Yong-jiang
Format: Article
Language:English
Subjects:
Applications of Mathematics
Math Applications in Computer Science
Mathematical and Computational Physics
Mathematics
Mathematics and Statistics
Theoretical
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Description
Summary: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.
ISSN:0168-9673
1618-3932
DOI:10.1007/s10255-006-6116-0