Neutrosophic ZLindley distribution with applications

Document Type : Original Article

Author

Lazhar Benkhelifa

Department of Mathematics, Mohamed Khider University, Biskra, Algeria

10.22067/smps.2025.95633.1053

Abstract

This paper introduces the neutrosophic ZLindley distribution, extending the classical Lindley distribution within a neutrosophic framework to more effectively handle datasets characterized by uncertainty, imprecision, and incompleteness. We derive several properties of the proposed model and estimate its neutrosophic parameter using the method of maximum likelihood. A simulation study is performed to evaluate the estimator’s performance. Finally, the advantages of the proposed model are demonstrated through applications to real datasets.‎

Keywords

‎Data analysis

‎Imprecise data

‎Maximum likelihood method

Neutrosophic random variable‎

‎ ‎ZLindley distribution‎‎

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