Prediction of Generalized Order Statistics Based on Some Accelerated Data Using the Tampered Failure Rate Model

Authors

M. M. Mohie El-Din, Department of Mathematics, Faculty of Science, Al-Azhar University, Nasr City, Cairo, Egypt.
W. S. Emam

Author Country (or Countries)

Egypt.

Abstract

Prediction of generalized order sample can be done with normal bounds having suitable confidence. However, given independent samples from the same absolutely continuous distribution, the prediction based on some accelerated bounds can be achieved. In this regard, this paper deals some various exact non-parametric prediction intervals for the future generalized order statistics under normal operating conditions based on stressed generalized order variables were observed in step stress accelerated life test: The tampered failure rate model. The progressive Type-II right-censoring order sample of failure time data that presented by Xiong [1] are used in numerical computations to illustrate the proposed procedures.

Suggested Reviewers

N/A

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/jsap/060309

Recommended Citation

M. Mohie El-Din, M. and S. Emam, W. (2017) "Prediction of Generalized Order Statistics Based on Some Accelerated Data Using the Tampered Failure Rate Model," Journal of Statistics Applications & Probability: Vol. 6: Iss. 3, Article 9.
DOI: http://dx.doi.org/10.18576/jsap/060309
Available at: https://digitalcommons.aaru.edu.jo/jsap/vol6/iss3/9