On Bayesian prediction of future median generalized order statistics using doubly censored data from type-I generalized logistic model

This paper is concerned with the problem of deriving expressions for the Bayesian predictive survival functions for the median of future sample of generalized order statistics having odd and even sizes. Both of the informative and future samples are drawn from a population whose distribution is truncated type-I generalized logistic distribution TTIGL(Beta, Alph, Tau). Doubly type II censored data and two sample technique have been used here. Bayesian prediction intervals using two independent samples, based on informative prior is obtained. Bayesian prediction intervals for: upper order statistics and upper records are considered as special cases. Numerical computations based on simulation study are given to illustrate the performance of the procedures.