Algebraic Approach to Literal Neutrosophic Kumaraswamy Probability Distribution

Authors

  • Mohamed Bisher Zeina Department of Mathematical Statistics, Faculty of Science, University of Aleppo, Aleppo, Syria;
  • Mohammad Abobala Department of Mathematics, Faculty of Science, Tishreen University, Latakia, Syria;
  • Ahmad Hatip 3 Department of Mathematics, Gaziantep University, Gaziantep, Turkey;
  • Said Broumi Laboratory of Information Processing, Faculty of Science Ben M’Sik, University Hassan II, B.P 7955, Sidi Othman, Casablanca, Morocco
  • Sarah Jalal Mosa College of Engineering Techniques, Al-Farahidi University, Baghdad, Iraq;

Keywords:

Literal Neutrosophic Numbers; Probability Distributions Theory; Maximum Likelihood Estimation; Kumaraswamy Distribution; Simulation.

Abstract

In this paper we have successfully constructed the literal neutrosophic
Kumaraswamy probability distribution. We mean by literal neutrosophic probability
distribution that parameters of the distribution and the values that the random variable
describing the distribution all take literal neutrosophic numbers of the form ðœƒð‘ = ð‘Ž +
ð‘ð¼ ;ð¼
2 = ð¼ which differs from interval-valued neutrosophic probability distributions in
which parameters of theses distributions take the form ðœƒð‘ ∈ [ð¿,ð‘ˆ]. We have derived the
neutrosophic form of the probability density function, cumulative distribution function,
statistical properties and maximum likelihood estimations of the parameters. Finally, a
simulation study is performed to show the efficiency of the estimators provided by the
neutrosophic MLE method.

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Published

2023-03-01

Issue

Section

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

How to Cite

Mohamed Bisher Zeina, Mohammad Abobala, Ahmad Hatip, Said Broumi, & Sarah Jalal Mosa. (2023). Algebraic Approach to Literal Neutrosophic Kumaraswamy Probability Distribution. Neutrosophic Sets and Systems, 54, 124-138. http://fs.unm.edu/nss8/index.php/111/article/view/3260

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