A New Probability Model Based on a Coherent System with Applications

IF 0.9 Q3 MATHEMATICS, APPLIED
Christophe Chesneau, Hassan S. Bakouch, Bilal A. Para, Mohammad H. Poursaeed
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Abstract

The notion of a coherent system allows us to formalize how the random lifetime of the system is connected to the random lifetimes of its components. These connections are also generators of new pliant distributions, being those of various mixes of minimum and maximum of random variables. In this paper, a new four-parameter lifetime probability distribution is introduced by using the notion of a coherent system. Its structural properties are assessed and evaluated, including the analytical study of its main functions, stochastic dominance results, moments, and moment generating function. The proposed distribution, in particular, is proving to be efficient at fitting data with slight negative skewness and platykurtic as well as leptokurtic nature. This is illustrated by the analysis of three relevant real-life data sets, two in reliability and another in production, exhibiting the significance of the introduced model in comparison to various well-known models in statistical literature.

Abstract Image

一种新的基于相干系统的概率模型及其应用
相干系统的概念使我们能够形式化系统的随机寿命与其组件的随机寿命是如何联系起来的。这些连接也是新的柔性分布的产生器,是各种最小和最大随机变量的混合。本文利用相干系统的概念,引入了一种新的四参数寿命概率分布。对其结构特性进行了评估和评价,包括对其主要函数、随机优势结果、矩和矩生成函数的分析研究。特别是,所提出的分布被证明在拟合具有轻微负偏度和平态以及细态性质的数据时是有效的。这是通过分析三个相关的现实生活数据集来说明的,其中两个是可靠性数据集,另一个是生产数据集,与统计文献中各种知名模型相比,展示了所引入模型的重要性。
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CiteScore
2.20
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0.00%
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