Modelling complexities in reliability, and the role of simulation in Bayesian computation Online publication date: Mon, 14-Dec-2009
by Satyanshu K. Upadhyay, Adrian F.M. Smith
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 4, No. 1/2, 1994
Abstract: Complexities in failure behaviour are increasing day by day with the development of more and more sophisticated components (or systems), and can no longer be represented by simple tractable models. Moreover, traditional approaches to Bayesian analyses of complex models often involve non-trivial numerical integrations, which become even more difficult if the data available are subjected to censoring mechanisms, or if the parameter space is constrained. In this paper, we review how these apparent difficulties can be overcome by the use of simulation techniques.
Online publication date: Mon, 14-Dec-2009
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com