Premium
Improving series and parallel systems through mixtures of duplicated dependent components
Author(s) -
Di Crescenzo Antonio,
Pellerey Franco
Publication year - 2011
Publication title -
naval research logistics (nrl)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.665
H-Index - 68
eISSN - 1520-6750
pISSN - 0894-069X
DOI - 10.1002/nav.20456
Subject(s) - bivariate analysis , series (stratigraphy) , computer science , statistical physics , component (thermodynamics) , econometrics , mathematics , physics , thermodynamics , geology , machine learning , paleontology
We discuss suitable conditions such that the lifetime of a series or of a parallel system formed by two components having nonindependent lifetimes may be stochastically improved by replacing the lifetimes of each of the components by an independent mixture of the individual components' lifetimes. We also characterize the classes of bivariate distributions where this phenomenon arises through a new weak dependence notion. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011