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The present article discusses some Bayes prediction bound lengths in one-parameter Rayleigh distribution. For this, Type-I Progressive Hybrid censoring criterion (T-IPH Censoring) have been combined with Step-Stress Partially Accelerated Life Test (SS- PALT). No literature was found tackling the Bayes prediction bound lengths under T-IPH Censoring with SS-PALT. One-Sample & Two-Sample Bayes prediction bound lengths have been obtained in the above scenario. The analysis is done under simulated and real data set, by using Metropolis-Hastings (M-H) algorithm that has been discussed. The optimal stress change time also have been measured by the method of minimization of the asymptotic variance of ML Estimation. Approximate confidence lengths (ACL) also have been discussed along with Bayes prediction bound lengths.

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