Independent or dependent competing risks: does it make a difference
作者:
John P. Klein,
M.L Moeschberger,
期刊:
Communications in Statistics - Simulation and Computation
(Taylor Available online 1987)
卷期:
Volume 16,
issue 2
页码: 507-533
ISSN:0361-0918
年代: 1987
DOI:10.1080/03610918708812602
出版商: Marcel Dekker, Inc.
关键词: competing risks;component life;modeling series systems;robutness studies;system reliability;GumbeL bivariate exponential;Downton bivariate exponential;oakes bivariate exponential
数据来源: Taylor
摘要:
This article investigates the consequences of departures from independence when the component lifetimes in a series system are exponentially distributed. Such departures are studied when the joint distribution is assumed to follow either one of the three Gumbel bivariate exponential models, the Downton bivariate exponential model, or the Oakes bivariate exponential model. Two distinct situations are considered. First, in theoretical modeling of series systems, when the distribution of the component lifetimes is assumed, one wishes to compute system reliability and mean system life. Second, errors in parametric and nonparametric estimation of component reliability and component mean life are studied based on life-test data collected on series systems when the assumption of independence is made
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