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.

中文翻译：

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基于I型混合检查数据的恒应力模型中Kumaraswamy分布的预测

在这项工作中，处理了有关在恒应力部分加速寿命试验下从Kumaraswamy分布进行的未来观测的贝叶斯预测的特定问题。利用观测数据的I型混合检查数据。确定了来自Kumaraswamy分布的未观察到的未来样本的一样本和二样本贝叶斯预测间隔。马尔可夫链蒙特卡罗（MCMC）过程用于获取贝叶斯预测间隔。最后，通过仿真研究和数值算例来说明研究的结果。