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Modeling dependence in the inter-failure times. An analysis in Reliability models by Markovian Arrival Processes

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Modeling dependence in the inter-failure times. An analysis in Reliability models by Markovian Arrival Processes

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García Mora, MB.; Santamaria Navarro, C.; Rubio Navarro, G. (2018). Modeling dependence in the inter-failure times. An analysis in Reliability models by Markovian Arrival Processes. Journal of Computational and Applied Mathematics. 343:762-770. https://doi.org/10.1016/j.cam.2017.12.022

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/121418

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Title: Modeling dependence in the inter-failure times. An analysis in Reliability models by Markovian Arrival Processes
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Abstract:
[EN] The most common assumptions in reliability studies are that failures occur independently and with the same distribution. However, these two assumptions are unrealistic in practice since inter-failure times are usually ...[+]
Subjects: Non-stationary Markovian Arrival Process , Erlang distribution , Phase-Type distribution , Reliability , Inter-arrival times
Copyrigths: Embargado
Source:
Journal of Computational and Applied Mathematics. (issn: 0377-0427 )
DOI: 10.1016/j.cam.2017.12.022
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.cam.2017.12.022
Type: Artículo

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