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Bayesian inference based on a jointly type-II censored sample from two exponential populations.
- Source :
- Journal of Statistical Computation & Simulation; Nov2014, Vol. 84 Issue 11, p2427-2440, 14p
- Publication Year :
- 2014
-
Abstract
- In this paper, based on a jointly type-II censored sample from two exponential populations, the Bayesian inference for the two unknown parameters are developed with the use of squared-error, linear-exponential and general entropy loss functions. The problem of predicting the future failure times, both point and interval prediction, based on the observed joint type-II censored data, is also addressed from a Bayesian viewpoint. A Monte Carlo simulation study is conducted to compare the Bayesian estimators with the maximum likelihood estimator developed by Balakrishnan and Rasouli [Exact likelihood inference for two exponential populations under joint type-II censoring. Comput Stat Data Anal. 2008;52:2725–2738]. Finally, a numerical example is utilized for the purpose of illustration. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00949655
- Volume :
- 84
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- Journal of Statistical Computation & Simulation
- Publication Type :
- Academic Journal
- Accession number :
- 96981561
- Full Text :
- https://doi.org/10.1080/00949655.2013.813025