Abstract
In this paper, we use a smoothed empirical likelihood method to investigate the difference of quantiles under censorship. An empirical log-likelihood ratio is derived and its asymptotic distribution is shown to be chi-squared. Approximate confidence regions based on this method are constructed. Simulation studies are used to compare the empirical likelihood and the normal approximation method in terms of its coverage accuracy. It is found that the empirical likelihood method provides a much better performance.
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The research is supported by NSFC (10231030) and RFDP.
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Shen, J., He, S. Empirical likelihood for the difference of quantiles under censorship. Statistical Papers 48, 437–457 (2007). https://doi.org/10.1007/s00362-006-0346-3
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DOI: https://doi.org/10.1007/s00362-006-0346-3