Journal
AIMS MATHEMATICS
Volume 6, Issue 4, Pages 4173-4196Publisher
AMER INST MATHEMATICAL SCIENCES-AIMS
DOI: 10.3934/math.2021247
Keywords
Burr type-XII; Bayesian estimation; E-Bayesian estimation; E-posterior risk; adaptive type-II progressive hybrid censored data
Categories
Funding
- Deanship Scientific Research (DSR), King Abdulaziz University, Jeddah [G: 537-130-1441]
- DSR
Ask authors/readers for more resources
This paper investigates the E-Bayesian estimation of the parameter and reliability function of the Burr type-XII distribution under adaptive progressive Type-II censoring scheme, using three different prior distributions and discussing properties under squared error and LINEX loss functions. An extensive simulation study compares the E-Bayesian estimation with Bayes and maximum likelihood estimators, and a real data set analysis demonstrates the applicability of different estimators in practice.
In this paper, we obtain the E-Bayesian estimation of the parameter and the reliability function of the Burr type-XII distribution under adaptive progressive Type-II censoring scheme. The E-Bayesian estimation is investigated using three different prior distributions based on squared error and LINEX loss functions. The properties of the E-Bayesian estimation and the E-posterior risk under squared error and LINEX loss functions are also discussed. An extensive simulation study is conducted to compare the behaviour of the E-Bayesian estimation with the corresponding Bayes and maximum likelihood estimators. We analyze one real data set to show the applicability of the different estimators in practice.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available