Estimation for the mixture of flexible Weibull extension and Burr XII distributions under adaptive Type-II progressive censoring scheme
by Rania M. Kamal; Moshira A. Ismail
International Journal of Reliability and Safety (IJRS), Vol. 15, No. 4, 2021

Abstract: In this paper, based on an adaptive Type-II progressive censoring scheme, estimation of the mixture of Burr XII and flexible Weibull extension distribution is discussed. Maximum likelihood estimation and asymptotic confidence intervals of the unknown parameters of the distribution are established. Using the Adaptive Metropolis (AM) method, we also carry out Bayesian estimation of the unknown parameters of the distribution under symmetric and asymmetric loss functions. To evaluate the performance of the estimates, a simulation study is carried out. Finally, a numerical example using a real-data set is analysed to illustrate the proposed estimation methods.

Online publication date: Tue, 27-Sep-2022

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