Neutrosophic Kumaraswamy Distribution with Engineering Application

Authors

  • Muhammad Ahsan-ul-Haq College of Statistical & Actuarial Sciences, University of the Punjab, Pakistan

Keywords:

Neutrosophic, indeterminacy, Kumaraswamy distribution, MLE, Simulation

Abstract

In this study, Neutrosophic Kumaraswamy (NKw) distribution was proposed to analyze bounded data sets under an indeterminacy environment. Mathematical properties of NKw distribution are derived including, moments, mean, variance, Shannon entropy, reliability measures. We also present the graphical representation of density curves, cumulative distribution function, and hazard rate function. The parameters of NKw distribution are estimated using the maximum likelihood technique. We perform a simulation study to see the performance of maximum likelihood estimates. Eventually, the proposed model is applied to real data set. It has been concluded that NKw distribution provides better results than Neutrosophic beta distribution.

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Published

2022-04-01

Issue

Section

SI#1,2024: Neutrosophical Advancements And Their Impact on Research

How to Cite

Ahsan-ul-Haq, M. . (2022). Neutrosophic Kumaraswamy Distribution with Engineering Application. Neutrosophic Sets and Systems, 49, 269-276. http://fs.unm.edu/nss8/index.php/111/article/view/2484