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Article . 2011
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Archivio della ricerca- Università di Roma La Sapienza
Article . 2011
Data sources: Archivio della ricerca- Università di Roma La Sapienza
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Duration Dependent Semi-Markov Models

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2011 Italy English Publisher:Bulgaria, EU: HIKARI LTD,
Authors: G. D'Amico; J. Janssen; MANCA, Raimondo;

handle: 11564/181060 , 11573/376065

Duration Dependent Semi-Markov Models

Abstract

In this paper it is shown how to construct duration dependent semi- Markov models. The in uence of backward and forward recurrence time processes on the transition probabilities of a non-homogeneous continuous time semi-Markov process (NHCTSMP) is considered. The results are applied to define and evaluate general duration dependent reliability indicators useful in the performability analysis of the systems.

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Italy
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Keywords

random recovery rate; reliability.; backward recurrence times processes

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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!
0
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