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Analysis of Graeco-Latin square designs in the presence of uncertain data.
- Source :
- Journal of Big Data; 8/7/2024, Vol. 11 Issue 1, p1-13, 13p
- Publication Year :
- 2024
-
Abstract
- Objective: This paper addresses the Graeco-Latin square design (GLSD) under neutrosophic statistics. In this work, we propose a novel approach for analyzing Graeco-Latin square designs using uncertain observations. Method: This approach involves the determination of a neutrosophic ANOVA and the determination of the neutrosophic hypotheses and decision rule. Results: The performance of the proposed design is evaluated using the numerical examples and simulation study. Conclusion: Based on the results observed, it can be concluded that the GLSD under neutrosophic statistics performs better than the GLSD under classical statistics in the presence of uncertainty. [ABSTRACT FROM AUTHOR]
- Subjects :
- COMPUTER simulation
STATISTICS
ANALYSIS of variance
HYPOTHESIS
Subjects
Details
- Language :
- English
- ISSN :
- 21961115
- Volume :
- 11
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of Big Data
- Publication Type :
- Academic Journal
- Accession number :
- 178877411
- Full Text :
- https://doi.org/10.1186/s40537-024-00970-1