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Title
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Parameter estimation of competing risks model under type-II generalized hybrid censoring scheme for exponential distribution
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Type
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Presentation
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Keywords
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Partially observed causes of failure, Type-II generalized hybrid censoring, Exponential distribution, Maximum likelihood estimation
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Abstract
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Time-to- failure under different causes of failure is known as a competing risks model. Practice, competing risks data can be appeared in different applications such as engineering fields or biological and medical lifetime studies as well as other related areas. Also, the causes of failure, which are competing may be partially observed. In this paper, we adopted the competing risks model with partially observed causes of failure when the latent failure times follow exponential distribution under type-II generalized hybrid censoring scheme. The maximum likelihood estimators of the model parameters with the associated confidence intervals are discussed. The results are discussed using a simulated data set for illustration purposes. Finally, the simulation experiments are performed to assess the proposed method.
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Researchers
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Nooshin Hakamipour (First Researcher)
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