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Original Articles

Estimating Percentiles of Time-to-Failure Distribution Obtained from a Linear Degradation Model Using Kernel Density Method

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Pages 1811-1822 | Received 02 Sep 2008, Accepted 25 Jun 2009, Published online: 09 Dec 2009

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Read on this site (4)

M. Kumar, P. N Bajeel, O. P. Yadav & K. C. Siju. (2022) Application of degradation growth model in the estimation of Bayesian system reliability. Communications in Statistics - Simulation and Computation 51:12, pages 7246-7265.
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Mosab Ababneh & Mohammed Al-Haj Ebrahem. (2018) Designing degradation experiments using a Weibull distribution. Journal of Statistics and Management Systems 21:6, pages 971-983.
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K. C. Siju & M. Kumar. (2018) Bayesian estimation of reliability using time-to-failure distribution of parametric degradation models. Journal of Statistical Computation and Simulation 88:9, pages 1717-1748.
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Julio C. Ferreira, Marta A. Freitas & Enrico A. Colosimo. (2012) Degradation data analysis for samples under unequal operating conditions: a case study on train wheels. Journal of Applied Statistics 39:12, pages 2721-2739.
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Articles from other publishers (4)

Yuhuang Zheng. (2019) Predicting Remaining Useful Life Based on Hilbert–Huang Entropy with Degradation Model. Journal of Electrical and Computer Engineering 2019, pages 1-11.
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Aymen Rawashdeh, Mohammed Hassan Al-Haj Ebrahem & Ayat Momani. (2018) A Bayesian approach to estimate the failure time distribution of a log-logistic degradation model. METRON 76:2, pages 155-176.
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Laila Naji Bz Dakhn, Mohammed Al-Haj Ebrahem & Omar Eidous. (2017) Semi-Parametric Method to Estimate the Time-to-Failure Distribution and its Percentiles for Simple Linear Degradation Model. Journal of Modern Applied Statistical Methods 16:2, pages 322-346.
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Cheng Hua, Qing Zhang, Guanghua Xu, Yizhuo Zhang & Tao Xu. (2013) Performance reliability estimation method based on adaptive failure threshold. Mechanical Systems and Signal Processing 36:2, pages 505-519.
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