Analysis of interval-censored data with random unknown end points: an application to soft error rate estimation
Version of Record online: 22 JAN 2013
Published 2013. This article is a US Government work and is in the public domain in the USA.
Journal of the Royal Statistical Society: Series C (Applied Statistics)
Volume 62, Issue 3, pages 473–486, May 2013
How to Cite
Michalak, S. E., Hamada, M. S. and Hengartner, N. W. (2013), Analysis of interval-censored data with random unknown end points: an application to soft error rate estimation. Journal of the Royal Statistical Society: Series C (Applied Statistics), 62: 473–486. doi: 10.1111/rssc.12005
- Issue online: 9 APR 2013
- Version of Record online: 22 JAN 2013
- [Received July 2011. Final revision September 2012]
- Failure time data;
- Hardware reliability;
- Measurement error;
- Measurement process
Summary. The paper presents a Bayesian approach to analysing interval-censored data with random unknown end points. Such data occur when the event of interest is interval censored but, because of the measurement process, the interval end points are not known exactly. Modelling the measurement process permits inference that accounts for this source of variability. Our results are motivated by an experimental study that was designed to characterize the cosmic-ray–neutron-induced soft error rate of a semiconductor device.