Bayesian prediction based on finite mixtures of Lomax components model andtype I censoring

This paper is concerned with the problem of obtaining Bayesian prediction b ounds for future observations based on a type I censored sample from a nonh omogeneous population having a distribution which is a mixture of two Lomax components. A numerical example is given to illustrate our results.