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A New Probability Model Based on a Coherent System with Applications
Author(s) -
Christophe Chesneau,
Hassan S. Bakouch,
Bilal Ahmad Para,
Mohammad Hossein Poursaeed
Publication year - 2022
Publication title -
computational and mathematical methods
Language(s) - English
Resource type - Journals
ISSN - 2577-7408
DOI - 10.1155/2022/8564465
Subject(s) - kurtosis , moment generating function , skewness , cumulative distribution function , moment (physics) , computer science , probability distribution , statistical physics , random variable , reliability (semiconductor) , probability density function , function (biology) , random number generation , algorithm , stochastic dominance , mathematics , statistics , physics , power (physics) , classical mechanics , quantum mechanics , evolutionary biology , biology
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.

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