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- W2032063670 abstract "Abstract 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. 요 약 평균잔여수명은 공학, 의학, 생존분석, 사회과학 등 많은 분야에서 중요한 역할을 하고 있다 . 특히 시스템의 신뢰성연구에서 시스템의 갑작스런 중지는 심각한 문제를 초래하기 때문에 , 부품에 대한 평균잔여수명 추정은 매우 중요하다. 그래서 많은 상황변수를 고려한 시뮬레이션 연구가 되어왔다. 본 연구에서는 임의절단(random censoring) 하에서 4가지 평균잔여수명 추정기법을 소개하고 3가지 와이블 수명분포와 6가지 절단분포의 조합에서 시뮬레이션 하였다. 또한 이들의 성과를 편의(bias)와 MSE측면에서 비교 분석하였다. 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" @default.
- W2032063670 created "2016-06-24" @default.
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- W2032063670 date "2010-06-30" @default.
- W2032063670 modified "2023-09-24" @default.
- W2032063670 title "The Study on the Mean Residual Life Estimation of Reliability Data under Random Censoring" @default.
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- W2032063670 doi "https://doi.org/10.5762/kais.2010.11.6.1997" @default.
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