Abstract
We consider the inference for the simple step-stress model with a threshold parameter in accelerated life testing. An exponential life distribution with a mean that is a log-linear function of stress, and a cumulative exposure model are assumed. Maximum likelihood estimators for the model parameters are found. Confidence intervals of parameters are constructed using pivotal quantities. A numerical example is given to illustrate the inferential procedure.
| Original language | English |
|---|---|
| Pages (from-to) | 349-360 |
| Number of pages | 12 |
| Journal | Journal of Statistical Computation and Simulation |
| Volume | 63 |
| Issue number | 4 |
| DOIs | |
| State | Published - 1999 |
Keywords
- Accelerated life testing
- Confidence interval
- Cumulative exposure
- Exponential distribution
- Maximum likelihood
- Pivotal quantity
- Threshold