Statistical Insights: Analyzing Shock Models, Reliability Operations and Testing Exponentiality for NBRUmgf Class of Life Distributions

Mahmoud M.E. Bakr, E. S. E. S. El-Atfy, Oluwafemi Samson Oluwafemi Samson Balogun, alaa Gadallah A. M. Gadallah
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Abstract

This study deals with a novel category of life distributions called the new better than renewal used in moment generating function (NBRUmgf) class. It delves into the connections between this form of aging and established aging categories, along with its relevance in a shock model. Additionally, it explores how this aging concept remains consistent through certain reliability operations which is consider a very important tool in reliability engineering. The research computes Pitman's asymptotic efficiencies for this testing procedure, comparing them with alternative methods. Furthermore, the study furnishes a comprehensive table of percentiles for the test statistic associated with this proposed method. Furthermore, in order to showcase the relevance of the study's conclusions, we utilize distinct real-world datasets, which illustrate the effectiveness of our test across various types of real data.
统计见解:分析冲击模型、可靠性操作以及测试 NBRUmgf 类寿命分布的不可预测性
本研究涉及一种新的生命分布类别,称为矩生成函数中使用的新优于更新(NBRUmgf)类。研究深入探讨了这种老化形式与既有老化类别之间的联系,以及其在冲击模型中的相关性。此外,它还探讨了这种老化概念如何在某些可靠性操作中保持一致,这在可靠性工程中被认为是一个非常重要的工具。研究计算了该测试程序的皮特曼渐近效率,并将其与其他方法进行了比较。此外,研究还提供了与该建议方法相关的测试统计百分位数综合表。此外,为了展示研究结论的相关性,我们使用了不同的真实数据集,这些数据集说明了我们的测试在各种类型的真实数据中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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