Imprecise probability inference on masked multicomponent system

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10244172" target="_blank" >RIV/61989100:27240/18:10244172 - isvavai.cz</a>
Result on the web
<a href="https://smpsbelief2018.hds.utc.fr/" target="_blank" >https://smpsbelief2018.hds.utc.fr/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-97547-4_18" target="_blank" >10.1007/978-3-319-97547-4_18</a>

Result language
angličtina
Original language name
Imprecise probability inference on masked multicomponent system
Original language description
Outside of controlled experiment scope, we have only limited information available to carry out desired inferences. One such scenario is when we wish to infer the topology of a system given only data representing system lifetimes without information about states of components in time of system failure, and only limited information about lifetimes of the components of which the system is composed. This scenario, masked system inference, has been studied before for systems with only one component type, with interest of inferring both system topology and lifetime distribution of component composing it. In this paper we study similar scenario in which we consider systems consisting of multiple types of components. We assume that distribution of component lifetimes is known to belong to a prior-specified set of distributions and our intention is to reflect this information via a set of likelihood functions which will be used to obtain an imprecise posterior on the set of considered system topologies. (C) Springer Nature Switzerland AG 2019.
Czech name
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Czech description
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Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Advances in Intelligent Systems and Computing. Volume 830
ISBN
978-3-319-97546-7
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
8
Pages from-to
133-140
Publisher name
Springer
Place of publication
Cham
Event location
Compiègne
Event date
Sep 17, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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