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Inference for the Mean Residual Life Function via Empirical Likelihood
Authors:Yichuan Zhao  Gengsheng Qin
Institution:1. Department of Mathematics and Statistics , Georgia State University , Atlanta , Georgia , USA yzhao@mathstat.gsu.edu;3. Department of Mathematics and Statistics , Georgia State University , Atlanta , Georgia , USA
Abstract:In addition to the distribution function, the mean residual life (MRL) function is the other important function which can be used to characterize a lifetime in survival analysis and reliability. For inference on the MRL function, some procedures have been proposed in the literature. However, the coverage accuracy of such procedures may be low when the sample size is small. In this article, an empirical likelihood (EL) inference procedure of MRL function is proposed and the limiting distribution of the EL ratio for MRL function is derived. Based on the result, we obtain confidence interval/band for the MRL function. The proposed method is compared with the normal approximation based method through simulation study in terms of coverage probability.
Keywords:Confidence interval  Estimating equation  Wilks's theorem
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