Reliability Bounds for Fault-Tolerant Systems with Deferred Repair using Bounding Split Regenerative Randomization
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Publication:5417912
DOI10.1080/03610918.2012.700360zbMath1311.90040OpenAlexW2033110170MaRDI QIDQ5417912
Jamal Temsamani, Juan Antonio Carrasco
Publication date: 23 May 2014
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/2117/21510
Computational methods in Markov chains (60J22) Continuous-time Markov processes on general state spaces (60J25) Reliability, availability, maintenance, inspection in operations research (90B25)
Cites Work
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- Numerical transient analysis of Markov models
- Computation of bounds for transient measures of large rewarded Markov models using regenerative randomization.
- Efficient implementations of the randomization method with control of the relative error
- A computationally efficient technique for transient analysis of repairable Markovian systems
- The Randomization Technique as a Modeling Tool and Solution Procedure for Transient Markov Processes
- Adaptive uniformization
- Transient analysis of Markov models of fault‐tolerant systems with deferred repair using split regenerative randomization
- A Generalized Method for the Transient Analysis of Markov Models of Fault-Tolerant Systems with Deferred Repair
- Transient Analysis of Large Markov Models with Absorbing States Using Regenerative Randomization
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