Exact inference for a simple step-stress model with competing risks for failure from exponential distribution under type-II censoring
DOI10.1016/j.jspi.2008.03.036zbMath1146.62076OpenAlexW2000093045MaRDI QIDQ951084
Donghoon Han, Narayanaswamy Balakrishnan
Publication date: 29 October 2008
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2008.03.036
tablesorder statisticstail probabilitymaximum likelihood estimationconfidence intervalaccelerated life-testingcumulative exposure modelparametric bootstrap methodconditional moment generating function
Parametric tolerance and confidence regions (62F25) Censored data models (62N01) Exact distribution theory in statistics (62E15) Bootstrap, jackknife and other resampling methods (62F40) Monte Carlo methods (65C05) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)
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- Optimal step-stress testing for progressively type-I censored data from exponential distribu\-tion
- Theoretical comparison of bootstrap confidence intervals
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- Exact likelihood inference based on type-I and type-II hybrid censored samples from the exponential distribution
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- Accelerated Life Testing - Step-Stress Models and Data Analyses
- Weibull accelerated life tests when there are competing causes of failure
- Accelerated life tests under competing weibull causes of failure
- Accelerated Testing
- Theory for Optimum Accelerated Censored Life Tests for Weibull and Extreme Value Distributions
- Hybrid censoring schemes with exponential failure distribution
- Exact confidence bounds for an exponential parameter under hybrid censoring
- Advances in reliability
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