Zeitschriftenartikel

On asymptotic failure rates in bivariate frailty competing risks models

Finkelstein, M. S., Esaulova, V.
Statistics and Probability Letters, 78:10, 1174–1180 (2008)

Abstract

A bivariate competing risks problem is considered for a rather general class of survival models. The lifetime distribution of each component is indexed by a frailty parameter. Under the assumption of conditional independence of components the correlated frailty model is considered. The explicit asymptotic formula for the mixture failure rate of a system is derived. It is proved that asymptotically, as t tends to infinity, the remaining lifetimes of components tend to be independent in the defined sense. Some simple examples are discussed.
Das Max-Planck-Institut für demografische Forschung (MPIDR) in Rostock ist eines der international führenden Zentren für Bevölkerungswissenschaft. Es gehört zur Max-Planck-Gesellschaft, einer der weltweit renommiertesten Forschungsgemeinschaften.