Statistical Inference of Jointly Type-II Lifetime Samples under Weibull Competing Risks Models

In this paper, we develop statistical inference of competing risks samples which are collected under a joint Type-II censoring scheme products with Weibull lifetime distributions. These inferences drawn from two independent fatal and come different lines production the same facility. The model parameters life (reliability hazard rate functions) estimated using maximum likelihood (ML), bootstrap Bayes methods. Additionally, constructed asymptotic ML confidence intervals, intervals credible intervals. Furthermore, theoretical results assessed compared through Monte Carlo simulations. Finally, one real data set is analyzed proposed for illustrative purpose.