The Neutrosophic Lognormal Model in Lifetime Data Analysis: Properties and Applications

The lognormal distribution is more extensively used in the domain of reliability analysis for modeling the life-failure patterns of numerous devices. In this paper, a generic form of the lognormal distribution is presented that can be applied to model many engineering problems involving indeterminac...

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Main Authors: Sultan Salem, Zahid Khan, Hamdi Ayed, Ameni Brahmia, Adnan Amin
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Function Spaces
Online Access:http://dx.doi.org/10.1155/2021/6337759
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author Sultan Salem
Zahid Khan
Hamdi Ayed
Ameni Brahmia
Adnan Amin
author_facet Sultan Salem
Zahid Khan
Hamdi Ayed
Ameni Brahmia
Adnan Amin
author_sort Sultan Salem
collection DOAJ
description The lognormal distribution is more extensively used in the domain of reliability analysis for modeling the life-failure patterns of numerous devices. In this paper, a generic form of the lognormal distribution is presented that can be applied to model many engineering problems involving indeterminacies in reliability studies. The suggested distribution is especially effective for modeling data that are roughly symmetric or skewed to the right. In this paper, the key mathematical properties of the proposed neutrosophic lognormal distribution (NLD) have been derived. Throughout the study, detailed examples from life-test data are used to confirm the mathematical development of the proposed neutrosophic model. The core ideas of the reliability terms, including the neutrosophic mean time failure, neutrosophic hazard rate, neutrosophic cumulative failure rate, and neutrosophic reliability function, are addressed with examples. In addition, the estimation of two typical parameters of the NLD by mean of maximum likelihood (ML) approach under the neutrosophic environment is described. A simulation experiment is run to determine the performance of the estimated parameters. Simulated findings suggest that ML estimators effectively estimate the unknown parameters with a large sample size. Finally, a real dataset on ball bearings failure times has been considered an application of the proposed model.
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spelling doaj-art-15cb5f7e58ef4cfb9f089f71b9b6cec02025-08-20T02:02:40ZengWileyJournal of Function Spaces2314-88882021-01-01202110.1155/2021/6337759The Neutrosophic Lognormal Model in Lifetime Data Analysis: Properties and ApplicationsSultan Salem0Zahid Khan1Hamdi Ayed2Ameni Brahmia3Adnan Amin4Department of EconomicsDepartment of Mathematics and StatisticsDepartment of Civil EngineeringDepartment of ChemistryDepartment of StatisticsThe lognormal distribution is more extensively used in the domain of reliability analysis for modeling the life-failure patterns of numerous devices. In this paper, a generic form of the lognormal distribution is presented that can be applied to model many engineering problems involving indeterminacies in reliability studies. The suggested distribution is especially effective for modeling data that are roughly symmetric or skewed to the right. In this paper, the key mathematical properties of the proposed neutrosophic lognormal distribution (NLD) have been derived. Throughout the study, detailed examples from life-test data are used to confirm the mathematical development of the proposed neutrosophic model. The core ideas of the reliability terms, including the neutrosophic mean time failure, neutrosophic hazard rate, neutrosophic cumulative failure rate, and neutrosophic reliability function, are addressed with examples. In addition, the estimation of two typical parameters of the NLD by mean of maximum likelihood (ML) approach under the neutrosophic environment is described. A simulation experiment is run to determine the performance of the estimated parameters. Simulated findings suggest that ML estimators effectively estimate the unknown parameters with a large sample size. Finally, a real dataset on ball bearings failure times has been considered an application of the proposed model.http://dx.doi.org/10.1155/2021/6337759
spellingShingle Sultan Salem
Zahid Khan
Hamdi Ayed
Ameni Brahmia
Adnan Amin
The Neutrosophic Lognormal Model in Lifetime Data Analysis: Properties and Applications
Journal of Function Spaces
title The Neutrosophic Lognormal Model in Lifetime Data Analysis: Properties and Applications
title_full The Neutrosophic Lognormal Model in Lifetime Data Analysis: Properties and Applications
title_fullStr The Neutrosophic Lognormal Model in Lifetime Data Analysis: Properties and Applications
title_full_unstemmed The Neutrosophic Lognormal Model in Lifetime Data Analysis: Properties and Applications
title_short The Neutrosophic Lognormal Model in Lifetime Data Analysis: Properties and Applications
title_sort neutrosophic lognormal model in lifetime data analysis properties and applications
url http://dx.doi.org/10.1155/2021/6337759
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