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

Hanns De La Fuente-Mella, Ricardo Campos-Espinoza, Nelson Lay-Raby, Omar Lameles-Corvalan, Mario Pino-Moya, Reynier Ramirez-Molina

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Fingerprint

Dive into the research topics of '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'. Together they form a unique fingerprint.

Earth & Environmental Sciences

Social Sciences

Engineering & Materials Science