Falck-Zepeda, J. B., Zambrano, P., Sanders, A., & Trabanino, C. R. (2025). Parametric and machine learning approaches to examine yield differences between control and treatment considering outliers and statistical biases: The case of insect resistant/herbicide tolerant (IR/HT) maize in Honduras. International Food Policy Research Institute.
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Cita Chicago Style (17a ed.)
Falck-Zepeda, José B., Patricia Zambrano, Arie Sanders, y Carlos Rogelio Trabanino. Parametric and Machine Learning Approaches to Examine Yield Differences Between Control and Treatment Considering Outliers and Statistical Biases: The Case of Insect Resistant/herbicide Tolerant (IR/HT) Maize in Honduras. International Food Policy Research Institute, 2025.
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Cita MLA (9a ed.)
Falck-Zepeda, José B., et al. Parametric and Machine Learning Approaches to Examine Yield Differences Between Control and Treatment Considering Outliers and Statistical Biases: The Case of Insect Resistant/herbicide Tolerant (IR/HT) Maize in Honduras. International Food Policy Research Institute, 2025.
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