The Reliability Estimation for a Shared Load Linear Consecutive-r-out-of-k: F System with Exponential Lifetime Under Type-1 Censorship

• 발행기관: 한국자료분석학회
• 저자명: Hee Jae Kim
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.11 No.6, 2931~2942쪽, 전체 12쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2009.12.30

영문 초록

The shared load linear consecutive- r-out-of- k: F system has been recognized as a useful model for reliability studies and life testing experiments. This paper deals with estimating reliability of shared load consecutive- r-out-of- k: F system with exponential lifetime. First, the maximum likelihood estimation(MLE) is used to estimate the reliability of the model when data are type-1 censored. Second, the Bayesian estimation is used to estimate the reliability under uniform, gamma, inverted gamma and truncated gamma prior. Third, the generalized maximum likelihood estimation(GMLE) is used to estimate the reliability. The Bayesian and GMLE for MLE will be compared with numerically in the terms of various mission times, parameter values in the sense of asymptotic mean square error through Monte Carlo simulation.

목차

1. Introduction

2. Reliability for a linear consecutive- r-out-of- k: F System

3. The Method of Reliability Estimation

4. Numerical Examples and Conclusion

References

키워드

Shared load Linear consecutive- r-out-of- k: F system Maximum likelihood Bayesian estimation Generalized maximum likelihood Asymptotic mean square error Type-1 censoring Monte Carlo simulation