Bayesian Analysis of Nakagami Distribution under Generalized Type-II Progressive Hybrid Censoring Scheme

Abstract

The paper presents the two parameter Nakagami distribution as an efficient alternative lifetime model for generalized type-II progressive hybrid censored data. Such a censoring mechanism is most appropriate for recording failure times of robust items which have long lifetimes. Maximum likelihood and Bayes estimates are developed for the unknown parameters including the case of both parameters unknown. Posterior analysis is conducted under squared error and Linear exponential loss functions. A simulation study and two real data based empirical assessment of the theoretic findings of the paper are undertaken as illustrations.