Journal of Statistics Applications & Probability
Abstract
In this paper, a general exponential form of the underlying distribution and a general conjugate prior are used to discuss the maximum likelihood and Bayesian estimation based on an unified hybrid censored sample. A general procedure for deriving the point and interval Bayesian prediction of the future order statistics from the same sample as well as that from an unobserved future sample is also developed. The exponential and Pareto distributions are then used as illustrative examples. Finally, two numerical examples are presented for illustrating all the inferential procedures developed here.
Suggested Reviewers
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Digital Object Identifier (DOI)
http://dx.doi.org/10.18576/jsap/060113
Recommended Citation
M. Mohie El-Din, M.; Nagy, M.; and R. Shafay, A.
(2017)
"Statistical Inference under Unified Hybrid Censoring Scheme,"
Journal of Statistics Applications & Probability: Vol. 6:
Iss.
1, Article 13.
DOI: http://dx.doi.org/10.18576/jsap/060113
Available at:
https://digitalcommons.aaru.edu.jo/jsap/vol6/iss1/13