1999
DOI: 10.1016/s0378-3758(98)00228-6
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Predicting observables from a general class of distributions

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Cited by 102 publications
(33 citation statements)
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“…Notice that Ghafoori et al (2011) considered Bayesian two-sample prediction bounds as well as Bayes predictive estimations for a future progressively Type-II censored sample in a general form of lifetime models, which proposed by AL-Hussaini (1999) including the Weibull and Pareto models, under the symmetric SEL function. Also, it is important to state that in the mentioned paper, the problem of Bayesian two-sample prediction carried out in AL-Hussaini family models under progressively Type-II censored samples.…”
Section: The Ge Distributionmentioning
confidence: 99%
“…Notice that Ghafoori et al (2011) considered Bayesian two-sample prediction bounds as well as Bayes predictive estimations for a future progressively Type-II censored sample in a general form of lifetime models, which proposed by AL-Hussaini (1999) including the Weibull and Pareto models, under the symmetric SEL function. Also, it is important to state that in the mentioned paper, the problem of Bayesian two-sample prediction carried out in AL-Hussaini family models under progressively Type-II censored samples.…”
Section: The Ge Distributionmentioning
confidence: 99%
“…For example, the experimenters or the manufacturers would like to have the bounds for the life of their products so that their warranty limits could be plausibly set and customers purchasing manufactured products would like to know the bounds for the life of the product to be purchased. For different application areas, the reader can see [36] [37]. The prediction of progressive Type-II censored data from the Gompertz and Rayleigh distributions has considered, respectively, by [38] [39].…”
Section: Introductionmentioning
confidence: 99%
“…[13] used conditional argument to develop prediction intervals for future Weibull order statistics. [5] also considered the Bayesian prediction problem for a large class of lifetime distributions. A numerical approach to Bayesian prediction for the twoparameter WE distribution was considered by [10].…”
Section: Introductionmentioning
confidence: 99%