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Abstract

In this paper, based on an adaptive Type-II progressive censoring scheme, estimation of flexible Weibull extension-Burr XII distribution is discussed. Maximum likelihood estimation and asymptotic confidence intervals of the unknown parameters are obtained. The adaptive Metropolis (AM) method is applied to carry out a Bayesian estimation procedure under symmetric and asymmetric loss functions and calculate the credible intervals. A simulation study is carried out to assess the performance of the estimators. Finally, a real life data set is used for illustration purpose.

Keywords

Additive distribution Adaptive Type-II progressive censoring Maximum likelihood estimation Bayesian estimation

Article Details

How to Cite
Kamal, R. M., & Ismail, M. A. (2021). Estimation for Flexible Weibull Extension-Burr XII Distribution under Adaptive Type-II Progressive Censoring Scheme. Pakistan Journal of Statistics and Operation Research, 17(4), 1065-1094. https://doi.org/10.18187/pjsor.v17i4.3650