Statistical analysis of competing risks models

被引：39
|
作者：
Sarhan, Ammar M. [1 ,2 ]
Hamilton, David C. [1 ]
Smith, B. [1 ]
机构：
[1] Dalhousie Univ, Fac Sci, Dept Math & Stat, Halifax, NS B3H 3J5, Canada
[2] Mansoura Univ, Fac Sci, Dept Math, Mansoura 35516, Egypt
来源：
RELIABILITY ENGINEERING & SYSTEM SAFETY | 2010年 / 95卷 / 09期
关键词：
Exponential distribution; Weibull distribution; Chen distribution; Maximum likelihood method; Biological data; AIC; BIC; INCOMPLETE DATA;
D O I：
10.1016/j.ress.2010.04.006
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Statistical inference for the parameters in three competing risks models is considered in this paper. It is assumed that there are more than two causes of failure. The maximum likelihood procedure is used to derive point and asymptotic confidence interval estimates of the unknown parameters. The risks due to each cause of failure are investigated. Two sets of data are analyzed in order to (1) illustrate how the model can be applied and (2) test the hypothesis that the causes of failure follow the Chen distribution rather than the exponential distribution, or the Weibull distribution. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码：953 / 962
页数：10
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