Comparative Studies of the Reliability Estimation for a Shared Load System with Weibull Lifetime Distribution

• 발행기관: 한국자료분석학회
• 저자명: Hee Jae Kim
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.11 No.4, 1739~1748쪽, 전체 10쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2009.08.30

영문 초록

The shared load system has been recognized as a useful model for reliability studies and life testing experiments. This paper deals with estimating reliability of shared load system with two Weibull lifetime distributions. The Weibull distribution has been recognized as a useful model for life testing experiments. First, the maximum likelihood estimation (MLE) is used to estimate the reliability of the model when data are Type-I censored. Second, the Bayesian estimation is used to estimate the reliability under gamma prior. Third, the plug-in estimation is used to estimate the reliability. The Bayesian and plug-in estimation 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 Shared Load System

3. The Method of Reliability Estimation

4. Numerical Examples and Conclusion

References

키워드

Weibull distribution Shared load system Maximum likelihood Gamma prior Bayesian estimation Plug-in estimation Asymptotic mean square error Monte Carlo simulation Type-I censoring