Analysis of Graeco-Latin square designs in the presence of uncertain data.

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]