Neutrosophic log-logistic distribution model in complex alloy metal melting point applications

dc.contributor.authorRao, G. S.
dc.date.accessioned2023-05-24T08:53:10Z
dc.date.available2023-05-24T08:53:10Z
dc.date.issued2023
dc.descriptionFull text Article. Also available at https://link.springer.com/article/10.1007/s44196-023-00218-5en_US
dc.description.abstractThe log-logistic distribution is more comprehensively applied in the area of survival and reliability engineering analysis for modelling the lifetime data practices of both human and electronic designs. The goal of this paper is to develop a generalization of the classical pattern log-logistic distribution, known as the neutrosophic log-logistic distribution (NLLD), to model various survival and reliability engineering data with indeterminacies. The developed distribution is especially useful for modeling indeterminate data that is roughly positively skewed. This paper discusses the developed NLLD’s main statistical properties such as neutrosophic survival function, neutrosophic hazard rate, neutrosophic moments, and neutrosophic mean time failure. Furthermore, the neutrosophic parameters are estimated using the well-known maximum likelihood (ML) estimation method in a neutrosophic environment. A simulation study is carried out to establish the achievement of the estimated neutrosophic parameters. As a final point, the proposed NLLD applications in the real world have been discussed with the help of real data. The real data illustrated that the efficiency of the proposed model as compared with the existing models.en_US
dc.identifier.citationRao, G. S. (2023). Neutrosophic log-logistic distribution model in complex alloy metal melting point applications. International Journal of Computational Intelligence Systems, 16(1), 48.en_US
dc.identifier.otherDOI: https://doi.org/10.1007/s44196-023-00218-5
dc.identifier.urihttp://hdl.handle.net/20.500.12661/3909
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectSimulationen_US
dc.subjectNeutrosophic statisticsen_US
dc.subjectLog-logistic distributionen_US
dc.subjectNeutrosophic Log-Logistic Distributionen_US
dc.subjectNLLDen_US
dc.subjectMaximum likelihooden_US
dc.subjectIndeterminacyen_US
dc.subjectMaterial engineeringen_US
dc.subjectModelingen_US
dc.subjectNeutrosophic environmenten_US
dc.titleNeutrosophic log-logistic distribution model in complex alloy metal melting point applicationsen_US
dc.typeArticleen_US
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