Improving series and parallel systems through mixtures of duplicated dependent components

DOI10.1002/nav.20456zbMath1218.90063OpenAlexW2046484325MaRDI QIDQ5198684

Franco Pellerey, Antonio Di Crescenzo

Publication date: 9 August 2011

Published in: Naval Research Logistics (NRL) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nav.20456

zbMATH Keywords

new better than usedstochastic ordersparallel systemsseries systemsdependence notionssurvival copulatime-transformed exponential modelparrondo paradox

Mathematics Subject Classification ID

Inequalities; stochastic orderings (60E15) Reliability, availability, maintenance, inspection in operations research (90B25) Applications of renewal theory (reliability, demand theory, etc.) (60K10)

Related Items (4)

Stochastic Comparisons of Symmetric Supermodular Functions of Heterogeneous Random Vectors ⋮ Competing risks driven by Mittag-Leffler distributions, under copula and time transformed exponential model ⋮ Stochastic comparisons of series and parallel systems with randomized independent components ⋮ Analysis of reliability systems via Gini-type index

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• Estimating component characteristics from system failure-time data
• Multivariate distributions for the life lengths of components of a system sharing a common environment
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