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International Journal of Neutrosophic Science
Volume 21 , Issue 4, PP: 36-42 , 2023 | Cite this article as | XML | Html |PDF

Title

Neutrosophic exponentiated inverse Rayleigh distribution: Properties and Applications

  Mazin M. Alanaz 1 * ,   Zakariya Yahya Algamal 2

1  Department of Operation Research and Intelligence Techniques, University of Mosul, Iraq
    (mazinalanaz@uomosul.edu.iq)

2  Department of Statistics and Informatics, University of Mosul, Mosul, Iraq
    (zakariya.algamal@uomosul.edu.iq)


Doi   :   https://doi.org/10.54216/IJNS.210404

Received: February 03, 2023 Revised: May 07, 2023 Accepted: July 09, 2023

Abstract :

In the field of survival analysis, the exponentiated inverse Rayleigh distribution is used to simulate lifetime data practices of human. In order to describe diverse survival data with indeterminacies, this work aims to create a generalization of the traditional pattern exponentiated inverse Rayleigh distribution, referred to as the neutrosophic exponentiated inverse Rayleigh distribution (NEIRD). In particular, modeling uncertain data that is roughly positively skewed makes use of the established distribution. The key statistical characteristics of the developed NEIRD, such as the neutrosophic survival function, neutrosophic hazard rate and neutrosophic moments, are discussed in this study. Additionally, in a neutrosophic well-known maximum likelihood estimation approach is used to estimate the neutrosophic parameters. A simulation study is conducted to determine whether the estimated neutrosophic parameters were achieved. Last but not least, real data has been used to discuss the potential NEIRD applications in the real world. The effectiveness of the suggested model in comparison to the existing distributions was demonstrated by real data.

Keywords :

Neutrosophic statistics;  exponentiated inverse Rayleigh distribution; survival analysis; Indeterminacy.

References :

[1] F. Smarandache, "A unifying field in Logics: Neutrosophic Logic," in Philosophy, ed: American Research Press, 1999, pp. 1-141.

[2] F. Smarandache, Introduction to neutrosophic statistics: Infinite Study, 2014.

[3] F. Smarandache, "Neutrosophic Statistics is an extension of Interval Statistics, while Plithogenic Statistics is the most general form of statistics (second version)," International Journal of Neutrosophic Science, vol. 19, pp. 148-165, 2022.

[4] H. Guan, Z. Dai, S. Guan, and A. Zhao, "A Neutrosophic Forecasting Model for Time Series Based on First-Order State and Information Entropy of High-Order Fluctuation," Entropy (Basel), vol. 21, May 1 2019.

[5] X. Mao, Z. Guoxi, M. Fallah, and S. A. Edalatpanah, "A Neutrosophic-Based Approach in Data Envelopment Analysis with Undesirable Outputs," Mathematical Problems in Engineering, vol. 2020, pp. 1-8, 2020.

[6] M. Aslam, "A New Failure-Censored Reliability Test Using Neutrosophic Statistical Interval Method," International Journal of Fuzzy Systems, vol. 21, pp. 1214-1220, 2019.

[7] F. Taş, S. Topal, and F. Smarandache, "Clustering Neutrosophic Data Sets and Neutrosophic Valued Metric Spaces," Symmetry, vol. 10, 2018.

[8] A. A. Bibani and Z. Y. Algamal, "Survival Function Estimation for Fuzzy Gompertz Distribution with neutrosophic data," International Journal of Neutrosophic Science, vol. 21, pp. 137-142, 2023.

[9] M. J. N. S. S. Ahsan-ul-Haq, "Neutrosophic Kumaraswamy distribution with engineering application," vol. 49, pp. 269-276, 2022.

[10]     M. Albassam, M. Ahsan-ul-Haq, and M. Aslam, "Weibull distribution under indeterminacy with applications," AIMS Mathematics, vol. 8, pp. 10745-10757, 2023.

[11]     A. Alsoboh, A. Amourah, M. Darus, and R. I. A. Sharefeen, "Applications of Neutrosophic q-Poisson distribution Series for Subclass of Analytic Functions and Bi-Univalent Functions," Mathematics, vol. 11, 2023.

[12]     W.-Q. Duan, Z. Khan, M. Gulistan, A. Khurshid, and Z. Stevic, "Neutrosophic Exponential Distribution: Modeling and Applications for Complex Data Analysis," Complexity, vol. 2021, pp. 1-8, 2021.

[13]     C. J. H. J. o. M. Granados and Statistics, "Some discrete neutrosophic distributions with neutrosophic parameters based on neutrosophic random variables," vol. 51, pp. 1442-1457, 2022.

[14]     M. K. H. Hassan and M. Aslam, "DUS-neutrosophic multivariate inverse Weibull distribution: properties and applications," Complex & Intelligent Systems, 2023.

[15]     Z. Khan, M. M. A. Almazah, O. Hamood Odhah, H. M. Alshanbari, and T. Mehmood, "Generalized Pareto Model: Properties and Applications in Neutrosophic Data Modeling," Mathematical Problems in Engineering, vol. 2022, pp. 1-11, 2022.

[16]     Z. Khan, A. Amin, S. A. Khan, M. J. N. S. Gulistan, and Systems, "Statistical development of the neutrosophic Lognormal model with application to environmental data," vol. 47, p. 1, 2021.

[17]     G. S. Rao, "Neutrosophic Log-Logistic Distribution Model in Complex Alloy Metal Melting Point Applications," International Journal of Computational Intelligence Systems, vol. 16, 2023.

[18]     F. Shah, M. Aslam, Z. Khan, M. M. A. Almazah, F. S. Alduais, and M. Gulzar, "On Neutrosophic Extension of the Maxwell Model: Properties and Applications," Journal of Function Spaces, vol. 2022, pp. 1-9, 2022.

[19]     Z. Khan, M. Gulistan, N. Kausar, and C. Park, "Neutrosophic Rayleigh Model With Some Basic Characteristics and Engineering Applications," IEEE Access, vol. 9, pp. 71277-71283, 2021.

[20]     M. A. Aslam, "Neutrosophic Rayleigh distribution with some basic properties and application," in Neutrosophic Sets in Decision Analysis and Operations Research, ed: IGI Global, 2020, pp. 119-128.

[21]     S. Nadarajah and S. J. A. A. M. Kotz, "The exponentiated type distributions," vol. 92, pp. 97-111, 2006.

[22]     G. S. Rao and S. Mbwambo, "Exponentiated Inverse Rayleigh Distribution and an Application to Coating Weights of Iron Sheets Data," Journal of Probability and Statistics, vol. 2019, pp. 1-13, 2019.

[23]     M. Aslam and M. S. J. J. o. K. S. U.-S. Aldosari, "Analyzing alloy melting points data using a new Mann-Whitney test under indeterminacy," vol. 32, pp. 2831-2834, 2020.

[24]     J. Kacprzyk, E. Szmidt, S. Zadrożny, K. T. Atanassov, and M. Krawczak, Advances in Fuzzy Logic and Technology 2017: Proceedings of: EUSFLAT-2017–The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN’2017–The Sixteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, September 13-15, 2017, Warsaw, Poland, Volume 2 vol. 642: Springer, 2017.

 


Cite this Article as :
Style #
MLA Mazin M. Alanaz, Zakariya Yahya Algamal. "Neutrosophic exponentiated inverse Rayleigh distribution: Properties and Applications." International Journal of Neutrosophic Science, Vol. 21, No. 4, 2023 ,PP. 36-42 (Doi   :  https://doi.org/10.54216/IJNS.210404)
APA Mazin M. Alanaz, Zakariya Yahya Algamal. (2023). Neutrosophic exponentiated inverse Rayleigh distribution: Properties and Applications. Journal of International Journal of Neutrosophic Science, 21 ( 4 ), 36-42 (Doi   :  https://doi.org/10.54216/IJNS.210404)
Chicago Mazin M. Alanaz, Zakariya Yahya Algamal. "Neutrosophic exponentiated inverse Rayleigh distribution: Properties and Applications." Journal of International Journal of Neutrosophic Science, 21 no. 4 (2023): 36-42 (Doi   :  https://doi.org/10.54216/IJNS.210404)
Harvard Mazin M. Alanaz, Zakariya Yahya Algamal. (2023). Neutrosophic exponentiated inverse Rayleigh distribution: Properties and Applications. Journal of International Journal of Neutrosophic Science, 21 ( 4 ), 36-42 (Doi   :  https://doi.org/10.54216/IJNS.210404)
Vancouver Mazin M. Alanaz, Zakariya Yahya Algamal. Neutrosophic exponentiated inverse Rayleigh distribution: Properties and Applications. Journal of International Journal of Neutrosophic Science, (2023); 21 ( 4 ): 36-42 (Doi   :  https://doi.org/10.54216/IJNS.210404)
IEEE Mazin M. Alanaz, Zakariya Yahya Algamal, Neutrosophic exponentiated inverse Rayleigh distribution: Properties and Applications, Journal of International Journal of Neutrosophic Science, Vol. 21 , No. 4 , (2023) : 36-42 (Doi   :  https://doi.org/10.54216/IJNS.210404)