Journal of Statistics Applications & Probability
Abstract
The Pareto Type-II model is considered in present article as the underlying model from which observables are to be predicted under Bayesian approach. The predictions are to be made on the ordered failure items of the remaining businesses by using conditional probability function. A right item failure - censoring criterion has been used for prediction.
Suggested Reviewers
N/A
Recommended Citation
Prakash, Gyan
(2014)
"Bayes Prediction Bounds for Right Ordered Pareto Type - II Data,"
Journal of Statistics Applications & Probability: Vol. 3:
Iss.
3, Article 4.
Available at:
https://digitalcommons.aaru.edu.jo/jsap/vol3/iss3/4