Time to failure in the lifetime experiments, common that units or individuals are failure with more than one caused of failure defined by competing risks problem. In this paper, we consider the problem of competing risks model when the failure time of units or individuals have Nadarajaha and Haghighi lifetime distribution [1] based on type-II censoring schemes. The point and interval estimates of model parameters are discussed with maximum likelihood and Bayes methods. In Bayesian approach, the MCMC method is employed. The theoretical results are discussed through real life data analysis and simulation study. Finally, we discussed the numerical results in some brief comments.
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