Proceedings of the symposium of Japanese Society of Computational Statistics
Online ISSN : 2189-583X
Print ISSN : 2189-5813
ISSN-L : 2189-5813
26
Conference information
Statistical Inference of a Series System with Correlated Log-normal Lifetime Distributions under Type-I Censoring(Session 2B(IASC-ARS))
Tsung-Ming HsuTsai-Hung Fan
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Pages 153-156

Details
Abstract
In a series system, the system fails if any of the components fails. When the system functions, there may exist correlation among components because they are connected within the same system. In this paper, we consider the reliability analysis of Type-I censored life tests of series systems composed of two components with bivariate log-normal lifetime distribution. The major interest is the inference on the mean lifetimes, and the reliability functions of the system as well as components. It is interesting to discover that conventional statistical inference based on the model parameters may yield unreliable results, especially through the maximum likelihood method. Alternatively, we apply the Bayesian approach focused on the likelihood function of the the mean lifetimes after reparametrization. The results are shown to be more promising via simulation study.
Content from these authors
© 2012 Japanese Society of Computational Statistics
Previous article Next article
feedback
Top