Comparative analysis of quinoa yield in Andean countries using classical and Bayesian statistical techniques with F
DOI:
https://doi.org/10.55204/trc.v5i1.e509Keywords:
Quinoa, agricultural yield, FAOSTAT, Bayesian analysis, probabilities, ANOVAAbstract
This study conducts a comparative analysis of quinoa yield in Andean countries, specifically Peru, Ecuador, and Bolivia, using official FAOSTAT data (FAOSTAT, 2025). Classical statistical techniques, such as ANOVA, and Bayesian models were applied to assess differences in agricultural productivity. The results show that Peru has the highest average yield, with approximately 878.93 kg/ha in the frequentist analysis, and a Bayesian estimate of 874.9 kg/ha; followed by Ecuador, with values of approximately 597 kg/ha, and Bolivia, with lower yields. The differences between countries were statistically significant (p-value = 4.23e-10 < 0.05), confirming that country significantly influences quinoa yield. The Bayesian estimation also included credibility intervals that do not cross zero, reinforcing the significance of these effects and showing that Peru has a positive effect on yield. The integration of these probabilistic approaches provides a more complete and reliable view for regional agricultural management.
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