Influence of discordant data on the Tucker3 model
DOI:
https://doi.org/10.15381/pesquimat.v27.i2.28291Keywords:
Tucker3Abstract
The present article addresses the assessment of the Tucker3 Model through the analysis of macroeconomic datasets from the departments of Peru spanning the period 2007-2021. The focus is on quantifying the impact of discordant observations, particularly in relation to Lima and Callao, on the structure of the solution, the determination of dimensions, and the representation of pathways in their respective components. The results underscore the significant role of Lima and Callao in the total variability, although this impact does not entail structural modifications in the model. Nevertheless, an influence is observed in the relative importance of components across different pathways in the Tucker3 Model.
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Copyright (c) 2024 José Luis Vásquez Pérez, Emma Cambillo Moyano
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