de la Fuente-Mella, H.; Campos-Espinoza, R.; Lay-Raby, N.; Lamelés-Corvalán, O.; Pino-Moya, M.; RamÃrez-Molina, R.
Multinomial Cross-Sectional Regression Models to Estimate and Predict the Determinants of Academic Performance: The Case of Auditor Accountant of the Pontifical Catholic University of Valparaíso. Sustainability 2022, 14, 9232.
https://doi.org/10.3390/su14159232
AMA Style
de la Fuente-Mella H, Campos-Espinoza R, Lay-Raby N, Lamelés-Corvalán O, Pino-Moya M, RamÃrez-Molina R.
Multinomial Cross-Sectional Regression Models to Estimate and Predict the Determinants of Academic Performance: The Case of Auditor Accountant of the Pontifical Catholic University of Valparaíso. Sustainability. 2022; 14(15):9232.
https://doi.org/10.3390/su14159232
Chicago/Turabian Style
de la Fuente-Mella, Hanns, Ricardo Campos-Espinoza, Nelson Lay-Raby, Omar Lamelés-Corvalán, Mario Pino-Moya, and Reynier RamÃrez-Molina.
2022. "Multinomial Cross-Sectional Regression Models to Estimate and Predict the Determinants of Academic Performance: The Case of Auditor Accountant of the Pontifical Catholic University of Valparaíso" Sustainability 14, no. 15: 9232.
https://doi.org/10.3390/su14159232
APA Style
de la Fuente-Mella, H., Campos-Espinoza, R., Lay-Raby, N., Lamelés-Corvalán, O., Pino-Moya, M., & RamÃrez-Molina, R.
(2022). Multinomial Cross-Sectional Regression Models to Estimate and Predict the Determinants of Academic Performance: The Case of Auditor Accountant of the Pontifical Catholic University of Valparaíso. Sustainability, 14(15), 9232.
https://doi.org/10.3390/su14159232