论文标题
预测某些未观察到的事件的故障时间，并应用于现实生活数据
Predicting Failure times for some Unobserved Events with Application to Real-Life Data
论文作者
论文摘要
这项研究旨在预测某些生命周期实验中某些单元的故障时间。在某些实际情况下，实验者可能无法在实验过程中注册所有单元的故障时间。最近，可以通过一种称为多杂交审查数据的新型数据来描述这种情况。在本文中，线性故障率分布非常适合某些现实生活数据，因此应用了一些统计推断方法来估计分布参数。应用的两样本预测方法用于推断新样本，模拟了观察到的数据，以预测未观察到的单元的故障时间。
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.
