Inferences of Type-II Generalized Hybrid Censored Competing Risks Data from New Extended Weibull Populations
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Abstract
Common in reliability analysis or medical studies, multiple causes of failure can be recorded with an (item/individual) life, which is known as the competing risks model. Due to the new extended Weibull (NEW) population with increasing and upside-down bathtub-shaped hazard rate functions, it occupies an important position in modelling the complex lifetime of a system. In this paper, we consider the competing risks model of the NEW populations with respect to the machinery of the type-II generalized hybrid censored scheme. Regarding independent causes of failure, the maximum likelihood and Bayes estimators are formulated. Also, the approximate confidence intervals, two bootstrap confidence intervals, and Bayesian credible intervals are formulated. The simulation study is constructed to assess and compare different estimation methods. The mechanism of the type-II generalized hybrid censored scheme is applied on a real competing data set and analyzed to illustrate our objectives.
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References
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