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Fractional Survival Functional Entropy of Engineering Systems
An alternate measure of uncertainty, termed the fractional generalized cumulative residual entropy, has been introduced in the literature. In this paper, we first investigate some variability properties this measure has and then establish its connection to other dispersion measures. Moreover, we pro...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497973/ https://www.ncbi.nlm.nih.gov/pubmed/36141161 http://dx.doi.org/10.3390/e24091275 |
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author | Alomani, Ghadah Kayid, Mohamed |
author_facet | Alomani, Ghadah Kayid, Mohamed |
author_sort | Alomani, Ghadah |
collection | PubMed |
description | An alternate measure of uncertainty, termed the fractional generalized cumulative residual entropy, has been introduced in the literature. In this paper, we first investigate some variability properties this measure has and then establish its connection to other dispersion measures. Moreover, we prove under sufficient conditions that this measure preserves the location-independent riskier order. We then elaborate on the fractional survival functional entropy of coherent and mixed systems’ lifetime in the case that the component lifetimes are dependent and they have identical distributions. Finally, we give some bounds and illustrate the usefulness of the given bounds. |
format | Online Article Text |
id | pubmed-9497973 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94979732022-09-23 Fractional Survival Functional Entropy of Engineering Systems Alomani, Ghadah Kayid, Mohamed Entropy (Basel) Article An alternate measure of uncertainty, termed the fractional generalized cumulative residual entropy, has been introduced in the literature. In this paper, we first investigate some variability properties this measure has and then establish its connection to other dispersion measures. Moreover, we prove under sufficient conditions that this measure preserves the location-independent riskier order. We then elaborate on the fractional survival functional entropy of coherent and mixed systems’ lifetime in the case that the component lifetimes are dependent and they have identical distributions. Finally, we give some bounds and illustrate the usefulness of the given bounds. MDPI 2022-09-10 /pmc/articles/PMC9497973/ /pubmed/36141161 http://dx.doi.org/10.3390/e24091275 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Alomani, Ghadah Kayid, Mohamed Fractional Survival Functional Entropy of Engineering Systems |
title | Fractional Survival Functional Entropy of Engineering Systems |
title_full | Fractional Survival Functional Entropy of Engineering Systems |
title_fullStr | Fractional Survival Functional Entropy of Engineering Systems |
title_full_unstemmed | Fractional Survival Functional Entropy of Engineering Systems |
title_short | Fractional Survival Functional Entropy of Engineering Systems |
title_sort | fractional survival functional entropy of engineering systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497973/ https://www.ncbi.nlm.nih.gov/pubmed/36141161 http://dx.doi.org/10.3390/e24091275 |
work_keys_str_mv | AT alomanighadah fractionalsurvivalfunctionalentropyofengineeringsystems AT kayidmohamed fractionalsurvivalfunctionalentropyofengineeringsystems |