Abstract
In this article, we present the parameter inference in step-stress accelerated life tests under the tampered failure rate model with geometric distribution. We deal with Type-II censoring scheme involved in experimental data, and provide the maximum likelihood estimate and confidence interval of the parameters of interest. With the help of the Monte-Carlo simulation technique, a comparison of precision of the confidence limits is demonstrated for our method, the Bootstrap method, and the large-sample based procedure. The application of two industrial real datasets shows the proposed method efficiency and feasibility.
Original language | English (US) |
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Pages (from-to) | 1796-1812 |
Number of pages | 17 |
Journal | Communications in Statistics - Theory and Methods |
Volume | 41 |
Issue number | 10 |
DOIs | |
State | Published - Jul 2 2012 |
Keywords
- Bootstrap
- Geometric distribution
- Interval estimation
- Maximum likelihood estimate
- Monte-Carlo simulation
- Step-stress accelerated life test
- Tampered failure rate model
- Type-II censoring
ASJC Scopus subject areas
- Statistics and Probability