Semiparametric and nonparametric evaluation of first-passage distribution of bivariate degradation processes
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DOI: 10.1016/j.ress.2020.107230
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Cited by:
- Song, Kai & Cui, Lirong, 2022. "A common random effect induced bivariate gamma degradation process with application to remaining useful life prediction," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
- Saberzadeh, Zahra & Razmkhah, Mostafa & Amini, Mohammad, 2023. "Bayesian reliability analysis of complex k-out-of-n: â„“ systems under degradation performance," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
- Fang, Guanqi & Pan, Rong & Wang, Yukun, 2022. "Inverse Gaussian processes with correlated random effects for multivariate degradation modeling," European Journal of Operational Research, Elsevier, vol. 300(3), pages 1177-1193.
- Barui, Sandip & Mitra, Debanjan & Balakrishnan, Narayanaswamy, 2024. "Flexible modelling of a bivariate degradation process with a shared frailty and an application to fatigue crack data," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
- Wu, Xin & Huang, Tingting & Liu, Jie, 2023. "Common stochastic effects induced multivariate degradation process with temporal dependency in degradation characteristic and unit dimensions," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
- Zhu, Xiaojun & Balakrishnan, N., 2022. "One-shot device test data analysis using non-parametric and semi-parametric inferential methods and applications," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
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Keywords
Bootstrap; Empirical copula; First-passage time distribution; Gamma process; Inverse Gaussian process; Saddlepoint approximation;All these keywords.
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