Tsallis Entropy for the Past Lifetime Distribution with Application

A fundamental factor in relevant applications is the predictability of the life cycle of a coherent system consisting of more than one component. In this context, we examine how entropy can be applied to evaluate the degree of predictability. In particular, in order to calculate the Tsallis entropy...

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Main Authors: Mohamed Kayid, Mashael A. Alshehri
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Axioms
Subjects:
Online Access:https://www.mdpi.com/2075-1680/12/8/731
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author Mohamed Kayid
Mashael A. Alshehri
author_facet Mohamed Kayid
Mashael A. Alshehri
author_sort Mohamed Kayid
collection DOAJ
description A fundamental factor in relevant applications is the predictability of the life cycle of a coherent system consisting of more than one component. In this context, we examine how entropy can be applied to evaluate the degree of predictability. In particular, in order to calculate the Tsallis entropy of the past life, we consider a scenario in which all components of the system fail at a given time <i>t</i> and use the system signature to calculate the Tsallis entropy of the past life. We examine a number of analytical results, e.g., expressions, thresholds and orders for the measure at issue in our study. The results may provide insights into the predictability of a coherent system’s life cycle.
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spelling doaj.art-66ca64c0c9a24024b1eb2839ec892f252023-11-19T00:14:22ZengMDPI AGAxioms2075-16802023-07-0112873110.3390/axioms12080731Tsallis Entropy for the Past Lifetime Distribution with ApplicationMohamed Kayid0Mashael A. Alshehri1Department of Statistics and Operations Research, College of Science, King Saud University, Riyadh 11451, Saudi ArabiaDepartment of Quantitative Analysis, College of Business Administration, King Saud University, Riyadh 11362, Saudi ArabiaA fundamental factor in relevant applications is the predictability of the life cycle of a coherent system consisting of more than one component. In this context, we examine how entropy can be applied to evaluate the degree of predictability. In particular, in order to calculate the Tsallis entropy of the past life, we consider a scenario in which all components of the system fail at a given time <i>t</i> and use the system signature to calculate the Tsallis entropy of the past life. We examine a number of analytical results, e.g., expressions, thresholds and orders for the measure at issue in our study. The results may provide insights into the predictability of a coherent system’s life cycle.https://www.mdpi.com/2075-1680/12/8/731coherent systempast Tsallis entropyShannon differential entropysystem signature
spellingShingle Mohamed Kayid
Mashael A. Alshehri
Tsallis Entropy for the Past Lifetime Distribution with Application
Axioms
coherent system
past Tsallis entropy
Shannon differential entropy
system signature
title Tsallis Entropy for the Past Lifetime Distribution with Application
title_full Tsallis Entropy for the Past Lifetime Distribution with Application
title_fullStr Tsallis Entropy for the Past Lifetime Distribution with Application
title_full_unstemmed Tsallis Entropy for the Past Lifetime Distribution with Application
title_short Tsallis Entropy for the Past Lifetime Distribution with Application
title_sort tsallis entropy for the past lifetime distribution with application
topic coherent system
past Tsallis entropy
Shannon differential entropy
system signature
url https://www.mdpi.com/2075-1680/12/8/731
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AT mashaelaalshehri tsallisentropyforthepastlifetimedistributionwithapplication