Abstract
In this work, a particular problem of Bayesian prediction concerning future observation from Kumaraswamy distribution under constant-stress partially accelerated life test is treated. Type-I hybrid censored data of the observed data are utilized. One- and two-sample Bayesian prediction intervals for an unobserved future sample from Kumaraswamy distribution are settled. Markov chain Monte Carlo (MCMC) procedure is used to get Bayesian predictive intervals. Lastly, simulation study and a numerical example are given to illustrate the consequences of the research.