ITM Web Conf.
Volume 22, 2018The Third International Conference on Computational Mathematics and Engineering Sciences (CMES2018)
|Number of page(s)||4|
|Published online||17 October 2018|
- Kontoleon, J. M. (1980). Reliability determination of a r-successive-out-of-n:F system. IEEE Trans. Reliab., 29, 437. [CrossRef] [Google Scholar]
- Chandra, S., & Owen, D. B. (1975). On estimating the reliability of a component subject to several different stresses (strengths). Naval Res. Log. Quart., 22, 31-40. [CrossRef] [Google Scholar]
- Kotz, S., Lumelskii, Y., & Pensky, M. (2003). The Stress-Strength Model and its Generalizations. Theory and Applications. Singapore: World Scientific. [Google Scholar]
- Nadarajah, S., & Kotz, S. (2006). Reliability for some bivariate exponential distributions. Mathematical Problems in Engineering, 2006, 1-14. [Google Scholar]
- Eryılmaz, S., & İşçioǧlu, F. (2011). Reliability evaluation for a multi-state system under stress-strength setup. Commun. Statist. Theor. Meth., 40, 547-558. [CrossRef] [Google Scholar]
- Basu, A. P., & Ebrahimi, N. (1983). On the reliability of stochastic systems. Statist. Probab. Lett., 1, 265-267. [CrossRef] [Google Scholar]
- El-Neweihi, E., Proschan, F. & Sethuraman, J. (1978). Multi-state coherent system. Journal of Applied Probability, 15, 675-688. [CrossRef] [Google Scholar]
- Hudson, J. C., & Kapur, K. C. (1983). Reliability analysis for multistate systems with multistate components. IIE Transactions, 15, 127-135. [CrossRef] [Google Scholar]
- Ebrahimi N. (1984). Multistate reliability models. Naval Research Logistics Quarterly, 31, 671-680. [CrossRef] [Google Scholar]
- Brunelle R. D., & Kapur, K. C. (1999). Review and classification of reliability measures for multistate and continuum models. IIE Transactions, 31, 1171-1180. [Google Scholar]
- Kuo, W., & Zuo, M. J. (2003). Optimal Reliability Modeling: Principles and Applications. New York: John Wiley & Sons. [Google Scholar]
- Finkelstein, M., & Cha, J. H. (2013). Stochastic modelling for reliability. shocks, burn-in and heterogeneous populations. London: Springer [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.