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

• 발행기관: 한국자료분석학회
• 저자명: 김희재(Hee-Jae Kim)
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.10 No.4, 1849~1859쪽, 전체 11쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2008.08.30

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 Rayleigh lifetime distributions. First, the maximum likelihood estimation is used to estimate the reliability of the model when data are grouped and Type-I censored. Second, the Bayesian estimation is used to estimate the reliability. Third, the generalized maximum likelihood estimation is used to estimate the reliability. Each estimation will be compared with numerically in the terms of various mission times, parameter values in the sense of asymptotic relative efficiency 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

Shared load system Maximum likelihood Bayesian estimation Generalized maximum likelihood Asymptotic mean square error Monte Carlo simulation