This study aims to predict failure times for some units in some lifetime experiments. In some practical situations, the experimenter may not be able to register the failure times of all units during the experiment. Recently, this situation can be described by a new type of censored data called multiply-hybrid censored data. In this paper, the linear failure rate distribution is well-fitted to some real-life data and hence some statistical inference approaches are applied to estimate the distribution parameters. A two-sample prediction approach applied to extrapolate a new sample simulates the observed data for predicting the failure times for the unobserved units.

翻译：这项研究旨在预测某些单位在某种终身实验中的失败时间,在某些实际情况下,实验者可能无法登记试验期间所有单位的失败时间。最近,这种情况可以用一种新型的被审查数据来描述,称为倍混合检查数据。在本文中,线性失败率分布与某些实际数据完全吻合,因此在估计分布参数时采用了一些统计推论方法。在推断新的样本时,采用了两个样本的预测方法模拟观察到的数据,以预测未观测单位的失败时间。