On Bayesian predictive distributions of generalized order statistics

摘要

Bayesian predictive densities and survival functions of generalized order statistics are obtained when the underlying population is assumed to have a general class which includes several important distributions. The prior belief of the experimenter is measured by a general class of distributions, suggested by AL-Hussaini (1999)b, which covers most prior distributions used in literature.