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  are used in numerical computations to illustrate the proposed procedures.
Digital Object Identifier (DOI)
M. Mohie El-Din, M. and S. Emam, W.
"Prediction of Generalized Order Statistics Based on Some Accelerated Data Using the Tampered Failure Rate Model,"
Journal of Statistics Applications & Probability: Vol. 6
, Article 9.
Available at: https://dc.naturalspublishing.com/jsap/vol6/iss3/9