Augmented Latin Square Designs for Imprecise Data

This paper addresses a novel approach for analyzing augmented Latin square design with uncertain observations, the so-called neutrosophic augmented Latin square design (NALSD). The contribution of our work lies in estimating the effects of rows, columns, control and new treatments, as well as formul...

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Bibliographic Details
Main Authors: Abdulrahman Al-Aita, Hooshang Talebi
Format: Article
Language:English
Published: University of New Mexico 2023-09-01
Series:Neutrosophic Sets and Systems
Subjects:
Online Access:https://fs.unm.edu/NSS/AugmentedLatinSquare7.pdf