DocumentCode :
948939
Title :
Parametric inference of incomplete data with competing risks among several groups
Author :
Park, Chanseok ; Kulasekera, K.B.
Author_Institution :
Dept. of Math. Sci., Clemson Univ., SC, USA
Volume :
53
Issue :
1
fYear :
2004
fDate :
3/1/2004 12:00:00 AM
Firstpage :
11
Lastpage :
21
Abstract :
We develop parametric inferential methods for the competing risks problem where data arise due to multiple causes of failure in several groups with censoring and possibly missing causes. We provide the general likelihood method and the closed-form maximum-likelihood estimators for the exponential model. Parametric tests are given for comparing different causes and groups. An extensive numerical and graphical investigation is presented to substantiate the proposed methods. A real-data example is illustrated.
Keywords :
exponential distribution; failure analysis; maximum likelihood estimation; reliability theory; risk analysis; cause of failure; closed-form maximum-likelihood estimator; competing risk problem; exponential distribution; exponential model; general likelihood method; graphical investigation; incomplete data; lifetime data analysis; numerical investigation; parametric inferential method; parametric test; Distribution functions; Exponential distribution; Failure analysis; Hazards; Life estimation; Lifetime estimation; Maximum likelihood estimation; Mean square error methods; Probability density function; Testing;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/TR.2003.821946
Filename :
1282157
Link To Document :
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