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Mean Residual Life (MRL) function plays a very important role in the area of engineering, medical science, survival studies, social sciences, and many other fields. Specially, in the reliability study of technical systems, the MRL estimation of a component is very important because the sudden stop of a system brings a serious problem. So, many simulation studies of MRL estimation have been done considering various situation variables. In this paper, four estimators of MRL are proposed under random censoring and their performances are compared through bias and Mean Square Error (MSE) by Monte Carlo simulation.    , , ,         .           ,      .       .   (random censoring)  4    3   6    .    (bias) MSE  . Key Words : Mean Residual Life(MRL), Reliability Study, Partial Moment Approximation, Random Censoring.The current paper was supported by the fund from the second stage of BK21, Graduate School of Management, Kyungpook National University and revised a lot from the author's thesis. * Corresponding Author : Lee, Mi-Sook(leems@knu.ac.kr)Received February 15, 2010 Revised (1st June 9, 2010, 2nd June 17, 2010) Accepted June 18, 2010

The Study on the Mean Residual Life Estimation of Reliability Data under Random Censoring