Nonparametric estimation of some important indicators in reliability for semi-Markov processes

DOI10.1016/j.stamet.2005.10.003zbMath1248.62190OpenAlexW2011103037MaRDI QIDQ713719

Brahim Ouhbi, Nikolaos Limnios

Publication date: 19 October 2012

Published in: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.stamet.2005.10.003

zbMATH Keywords

weak convergencestrong consistencymean time to failuremean down timemean up time

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Markov processes: estimation; hidden Markov models (62M05) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

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Confidence interval for the mean time to failure in semi-Markov models: an application to wind energy production ⋮ Conditional failure occurrence rates for semi-Markov chains ⋮ Reliability and survival analysis for drifting Markov models: modeling and estimation ⋮ Reliability measures of semi-Markov systems with general state space ⋮ Semi-Markov modelling for multi-state systems ⋮ Modelling of marginally regular bivariate counting process and its application to shock model ⋮ A continuous-time semi-markov bayesian belief network model for availability measure estimation of fault tolerant systems ⋮ Large Deviations for Empirical Estimators of the Stationary Distribution of a Semi-Markov Process with Finite State Space

Cites Work

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