Bayesian Inference Under Ramp Stress Accelerated Life Testing Using Stan
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s13571-022-00300-6.pdf
Reference45 articles.
1. Abd El-Raheem, A.M., Abu-Moussa, M.H., Mohie El-Din, M.M. and Hafez, E.H. (2020). Accelerated life tests under Pareto-IV lifetime distribution: real data application and simulation study. Mathematics 8. https://doi.org/10.3390/math8101786.
2. Abdel-Ghaly, A., Aly, H. and Abdel-Rahman, E. (2020). Inference of extended Weibull distribution using ramp stress accelerated life testing under censoring. J. Stat. Manag. Syst. https://doi.org/10.1080/09720510.2020.1818453.
3. Abdel-Hamid, A.H. and Abushal, T.A. (2015). Inference on progressive-stress model for the exponentiated exponential distribution under Type-II progressive hybrid censoring. J. Stat. Comput. Simul. 85, 1165–1186.
4. Abdel-Hamid, A.H. and AL-Hussaini, E.K. (2014). Bayesian prediction for Type-II progressive-censored data from the rayleigh distribution under progressive stress model. J. Stat. Comput. Simul. 84, 1297–1312.
5. AbuJarad, M.H., AbuJarad, E.S.A. and Khan, A.A. (2019). Bayesian survival analysis of Type I general exponential distributions. Ann. Data Sci.. https://doi.org/10.1007/s40745-019-00228-1.
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