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The crux of this paper is to obtain predictors of the future observation under multiply type II censored sample from exponential distribution. Bayes point predictors are obtained under asymmetric loss function (linear) as well as under symmetric loss function (squared error) using nature conjugate prior. Predictive risks are calculated under each loss. Predictors are compared for the smallest ordered future observation on the basis of predictive risk efficiencies for 1000 randomly generated sample using Monte Carlo simulation technique as well as for real informative data representing failure times for electric insulation.

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