Title :
Analysis of Incomplete Data in Competing Risks Model
Author :
Miyakawa, Masami
Author_Institution :
Department of Management Science and Engineering; Faculty of Engineering; Tokyo Institute of Technology; Tokyo 152 JAPAN.
Abstract :
Parametric and nonparametric estimation methods are proposed for reliability characteristics of one failure mode under competing risks with incomplete data; some of the failure times are observed without observing the cause of failure. The efficiencies of these methods are discussed.
Keywords :
Data analysis; Design engineering; Failure analysis; Life estimation; Random variables; Reliability engineering; Reliability theory; Risk analysis; State estimation; Statistics; Competing risks model; EM algorithm; Incomplete data; Kaplan-Meier estimator; Maximum likelihood estimator; Uniformly minimum variance unbiased estimator;
Journal_Title :
Reliability, IEEE Transactions on
DOI :
10.1109/TR.1984.5221828
