Neutrosophic Log-Logistic Distribution Model in Complex Alloy Metal Melting Point Applications

Abstract The log-logistic distribution is more comprehensively applied in the area of survival and reliability engineering analysis for modeling lifetime data practices both human electronic designs. goal this paper to develop a generalization classical pattern distribution, known as neutrosophic (NLLD), model various with indeterminacies. developed especially useful indeterminate that roughly positively skewed. This discusses NLLD’s main statistical properties such function, hazard rate, moments, mean time failure. Furthermore, parameters are estimated using well-known maximum likelihood (ML) estimation method environment. A simulation study carried out establish achievement parameters. As final point, proposed NLLD applications real world have been discussed help data. illustrated efficiency compared existing models.