Nonparametric reliability estimation of semi-Markov processes
By B. Ouhbi, Nikolaos Limnios. 2003
60 citations recorded by the source corpus.
Subfields: Safety, Risk, Reliability and Quality, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/0b5c51353c9e4d14a170ba866a8c3bbeac94743c
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In Safety, Risk, Reliability and Quality
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Citations in the corpus
- Reliability Measures of Semi-Markov Systems with General State Space (2012, methodology): “Statistical estimation of reliability can be based on the formulae presented here in order to obtain plug in estimators, (see, e.g., Limnios and Ouhbi 2003, Ouhbi and Limnios 2003, Ouhbi and Limnios 2002, Limnios and Ouhbi 2006).”
- Empirical estimation for discrete-time semi-Markov processes with applications in reliability (2006, methodology): “The continuous-time semi-Markov model in reliability can be found in [2, 8, 22].”
- Empirical Estimator of Stationary Distribution for Semi-Markov Processes (2005, background): “…likelihood and empirical estimators of nonlinear functions of semi-Markov kernels including the Markov renewal matrix and reliability functions (Ouhbi and Limnios, 2003), the rate of occurrence of failure function (Ouhbi and Limnios, 2001), and the failure rate of a semi-Markov system (Ouhbi…”