Abstract
This paper presents the inferences of parameters on the simple step-stress model in accelerated life testing with type-II censoring. An exponential life distribution with a mean that is a log-linear function of stress, and a cumulative exposure model are assumed. Maximum likelihood methods are used to estimate the parameters of these models. Hypothesis tests about model parameters are discussed. Confidence intervals for parameter-estimates are constructed using a pivotal quantity. The advantage of these results is that they apply to any sample size. A numerical example illustrates the inferential procedure.
Original language | English |
---|---|
Pages (from-to) | 142-146 |
Number of pages | 5 |
Journal | IEEE Transactions on Reliability |
Volume | 47 |
Issue number | 2 |
DOIs | |
State | Published - 1998 |
Keywords
- Accelerated life testing
- Confidence interval
- Exponential distribution
- Maximum likelihood
- Pivotal quantity
- Step-stress
- Type-II censoring