Nonparametric Analysis on System Availability: Confidence Bound and Power Function
Abstract
In this study we consider the steady-state availability, denoted A, of a system with distribution-free failure and repair time. In particular, we are interested in constructing a lower confidence bound and a testing framework for A. We first show that the natural estimator  of A, defined as the ratio of the failure time sample mean to the sum of the failure time sample mean and the repair time sample mean, is strongly consistent and asymptotically normal. Then using the asymptotic distribution of Â, we develop a lower confidence bound and a hypothesis test for A. Finally, a numerical simulation study is conducted in order to illustrate the performance of  in applied inference about A.
DOI: https://doi.org/10.3844/jmssp.2007.181.187
Copyright: © 2007 Jau-Chuan Ke and Yunn-Kuang Chu. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- 3,269 Views
- 2,118 Downloads
- 6 Citations
Download
Keywords
- Availability
- hypothesis test
- lower confidence bound
- power function
- repairable system
- simulation
- Slutsky’s theorem