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- Title
BAYESIAN INFERENCE FOR THE PARAMETERS OF EXPONENTIATED CHEN DISTRIBUTION BASED ON HYBRID CENSORING.
- Authors
Yousef, Manal M.; Almetwally, Ehab M.
- Abstract
This article presents classical and Bayesian inferences based on Type-II hybrid censored data when the lifetime of the items follows the exponentiated Chen distribution. Based on the hybrid censored data, the maximum likelihood estimates and the asymptotic confidence intervals of the involved parameters are derived. Bayes estimates, under squared error loss and linear-exponential loss functions, and highest posterior density intervals are also derived. Monte Carlo simulations are performed to see the effectiveness of the proposed estimation methods. The Application of real data from Vaccination of COVID-19 data for different countries of the region of the Americas is discussed.
- Subjects
BAYES' estimation; BAYESIAN field theory; MONTE Carlo method; COVID-19 vaccines; CENSORSHIP; MAXIMUM likelihood statistics; CENSORING (Statistics)
- Publication
Pakistan Journal of Statistics, 2022, Vol 38, Issue 2, p145
- ISSN
1012-9367
- Publication type
Article