Keywords and phrases: neutrosophic data, row-column design, neutrosophic statistics, neutrosophic analysis of variance.
Received: January 1, 2024; Accepted: March 28, 2024; Published: April 12, 2024
How to cite this article: Abdulrahman AlAita, Muhammad Aslam and Florentin Smarandache, Row-column designs: a novel approach for analyzing imprecise and uncertain observations, Advances and Applications in Statistics 91(5) (2024), 657-671. http://dx.doi.org/10.17654/0972361724035
This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License
References:
[1] A. AlAita and M. Aslam, Analysis of covariance under neutrosophic statistics, J. Statist. Comput. Simul. 93 (2022), 1-19. [2] N. Alpaslan, Neutrosophic set based local binary pattern for texture classification, Expert Systems with Applications 209 (2022), 118350. [3] A. A. Alvaracín Jarrín, D. S. Proaño Tamayo, S. A. Montecé Giler, J. C. Arandia Zambrano and D. M. Macazana, Neutrosophic statistics applied in social science, Neutrosophic Sets and Systems 44(1) (2021), 1. [4] M. Aslam, Introducing Kolmogorov-Smirnov tests under uncertainty: an application to radioactive data, ACS Omega 5(1) (2019a), 914-917. [5] M. Aslam, Neutrosophic analysis of variance: application to university students, Complex and Intelligent Systems 5(4) (2019b), 403-407. [6] M. Aslam, A new attribute sampling plan using neutrosophic statistical interval method, Complex and Intelligent Systems 5(4) (2019c), 365-370. [7] M. Aslam and A. H. Al-Marshadi, A new test for ridge wind directional data under neutrosophic statistics, Frontiers in Energy Research 10 (2022). https://doi.org/10.3389/fenrg.2022.890250. [8] M. Aslam and M. Albassam, Presenting post hoc multiple comparison tests under neutrosophic statistics, Journal of King Saud University Science 32(6) (2020), 2728-2732. [9] M. Aslam, O. H. Arif and R. A. K. Sherwani, New diagnosis test under the neutrosophic statistics: An application to diabetic patients, BioMed Research International Volume 2020, Article ID 2086185. https://doi.org/10.1155/2020/2086185. [10] J. Y. Chang and W. I. Notz, Some optimal nested row-column designs, Statist. Sinica 4 (1994), 249-263. [11] A. Dean and D. Voss, Design and Analysis of Experiments, Springer, 1999. [12] R. A. Fisher, The design of experiments, The Design of Experiments, 2nd ed., 1937. [13] J. A. John and J. A. Eccleston, Row-column -designs, Biometrika 73(2) (1986), 301-306. [14] D. Majumdar and A. C. Tamhane, Row-column designs for comparing treatments with a control, J. Statist. Plann. Inference 49(3) (1996), 387-400. [15] J. Morgan and V. Parvu, Optimal row-column design for three treatments, J. Statist. Plann. Inference 137(4) (2007), 1474-1487. [16] J. Morgan and N. Uddin, Optimal row-column design for two treatments, J. Statist. Plann. Inference 115(2) (2003), 603-622. [17] D. Nagarajan, S. Broumi, F. Smarandache and J. Kavikumar, Analysis of neutrosophic multiple regression, Neutrosophic Sets and Systems 43 (2021), 44 53. [18] S. Parthiban and P. Gajivaradhan, A comparative study of Latin square design under fuzzy environments using trapezoidal fuzzy numbers, Mathematical Theory and Modeling 6(1) (2016). www.iiste.org. [19] A. Salama, O. Khaled and K. Mahfouz, Neutrosophic correlation and simple linear regression, Neutrosophic Sets and Systems 5 (2014), 3-8. [20] K. Shah and B. K. Sinha, 24 row-column designs, Handbook of Statist. 13 (1996), 903-937. [21] F. Smarandache, Introduction to Neutrosophic Statistics: Infinite Study, Romania-Educational Publisher, Columbus, OH, USA, 2014. [22] F. Smarandache, Plithogenic probability and statistics are generalizations of multivariate probability and statistics, Neutrosophic Sets and Systems 43 (2021), 280-289. [23] E. Williams and J. John, Row‐column factorial designs for use in agricultural field trials, J. Roy. Statist. Soc. Ser. C 45(1) (1996), 39-46. [24] M. Yazdani, A. E. Torkayesh, Ž. Stević, P. Chatterjee, S. A. Ahari and V. D. Hernandez, An interval valued neutrosophic decision-making structure for sustainable supplier selection, Expert Systems with Applications 183 (2021), 115354. [25] S. H. Zolfani, Ö. F. Görçün, M. Çanakçıoğlu and E. B. Tirkolaee, Efficiency analysis technique with input and output satisficing approach based on Type-2 neutrosophic fuzzy sets: a case study of container shipping companies, Expert Systems with Applications 218 (2023), 119596.
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