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

M. El-Din and A. Shafay ()

Statistical Papers, 2013, vol. 54, issue 2, 287-307

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. Copyright Springer-Verlag 2013

Keywords: Order statistics; Progressively Type-II right censored sample; Bayesian prediction; Exponential (θ) model; Pareto (α; β) model; Weibull (α; β) model; Burr Type-XII (α; β) model (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s00362-011-0426-x

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