Predicting Failure times for some Unobserved Events with Application to Real-Life Data

Authors

Mahmoud Mansour, Department of Basic Science, Faculty of Engineering, The British University in Egypt, El Sherook City, Cairo, EgyptFollow
Mohamed Aboshady, Department of Basic Science, Faculty of Engineering, The British University in Egypt, El Sherook City, Cairo, EgyptFollow

Abstract

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.

Recommended Citation

Mansour, Mahmoud and Aboshady, Mohamed (2023) "Predicting Failure times for some Unobserved Events with Application to Real-Life Data," Information Sciences Letters: Vol. 12 : Iss. 4 , PP -.
Available at: https://digitalcommons.aaru.edu.jo/isl/vol12/iss4/52