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Predicting Failure times for some Unobserved Events with Application to Real-Life Data
arXiv - MATH - Statistics Theory Pub Date : 2022-07-31 , DOI: arxiv-2208.00411
Mahmoud Mansour, Mohamed Aboshady

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.

中文翻译:

应用真实数据预测一些未观察到的事件的故障时间

本研究旨在预测某些寿命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记录所有单元的故障次数。最近,这种情况可以用一种称为多重混合删失数据的新型删失数据来描述。在本文中,线性失效率分布很好地拟合了一些实际数据,因此应用了一些统计推断方法来估计分布参数。用于推断新样本的双样本预测方法模拟观察到的数据,以预测未观察到的单元的故障时间。
更新日期:2022-08-02
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