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Semi-Markov Modelling for Multi-state Systems

Semi-Markov modelling for multi-state systems
descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Sep 2014 Cyprus, France Publisher:IEEEJournal:2014 Ninth International Conference on Availability, Reliability and Security
Authors: Barbu, Vlad Stefan; Karagrigoriou, Alex; Makrides, Andreas; Barbu, Vlad Stefan; Karagrigoriou, Alex; Makrides, Andreas;

doi: 10.1109/ares.2014.60 , 10.1007/s11009-016-9510-y

Semi-Markov Modelling for Multi-state Systems

Abstract

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Cyprus, France
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Keywords

Reliability theory, Reliability engineering, survival analysis, reliability indicators, Reliability, availability, maintenance, inspection in operations research, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], multi-state system, Reliability distribution, Parameter estimation, [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST], Asymptotic properties of parametric estimators, General class, Sojourn time, Markov processes, Multi-state system, Estimation in survival analysis and censored data, Survival analysis, Reliability, reliability theory, Markov renewal processes, semi-Markov processes, Semi markov process, Semi-Markov, Reliability indicators, Weibull distribution, Weibull, Semi-Markov processes, semi-Markov processes, parameter estimation

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Average
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