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One- and two-sample Bayesian prediction intervals based on progressively Type-II censored data

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Abstract

In this article, one- and two-sample Bayesian prediction intervals based on progressively Type-II censored data are derived. For the illustration of the developed results, the exponential, Pareto, Weibull and Burr Type-XII models are used as examples. Some of the previous results in the literature such as Dunsmore (Technometrics 16:455–460, 1974), Nigm and Hamdy (Commun Stat Theory Methods 16:1761–1772, 1987), Nigm (Commun Stat Theory Methods 18:897–911, 1989), Al-Hussaini and Jaheen (Commun Stat Theory Methods 24:1829–1842, 1995), Al-Hussaini (J Stat Plan Inference 79:79–91, 1999), Ali Mousa (J Stat Comput Simul 71: 163–181, 2001) and Ali Mousa and Jaheen (Stat Pap 43:587–593, 2002) can be achieved as special cases of our results. Finally, some numerical computations are presented for illustrating all the proposed inferential procedures.

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Correspondence to A. R. Shafay.

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El-Din, M.M.M., Shafay, A.R. One- and two-sample Bayesian prediction intervals based on progressively Type-II censored data. Stat Papers 54, 287–307 (2013). https://doi.org/10.1007/s00362-011-0426-x

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  • DOI: https://doi.org/10.1007/s00362-011-0426-x

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