Imprecise probability inference on masked multicomponent system
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Imprecise probability inference on masked multicomponent system
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Imprecise probability inference on masked multicomponent system
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10100 - Mathematics
Návaznosti výsledku
Projekt
—
Návaznosti
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Advances in Intelligent Systems and Computing. Volume 830
ISBN
978-3-319-97546-7
ISSN
2194-5357
e-ISSN
2194-5365
Počet stran výsledku
8
Strana od-do
133-140
Název nakladatele
Springer
Místo vydání
Cham
Místo konání akce
Compiègne
Datum konání akce
17. 9. 2018
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—