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

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2024年8月7日

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Abdulrahman AlAita,
Muhammad Aslam,
Khaled Al Sultan,
Muhammad Saleem

摘要

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.