Bayesian prediction bounds for the burr type XII failure model

In this paper, the problem of predicting the future observations from the Burr type XII distribution, based on the past observations having the same distribution, is considered from a Bayesian approach One sample and a ser ies of M+l samples techniques are used in this article based on a bivariate prior density suggested by AL.-Hussaini and Jaheen (1992). Numerical examples are used to illustrate the procedures.