Existing classifications of inflationary regimes often rely on subjective judgments, hindering objectivity and accuracy. This study proposes a novel, data-driven approach to address this limitation.We combine unsupervised clustering and classification tree methods to analyze Argentine inflation...

Purpose: This paper aims to present how the project-based learning (PBL) methodology was implemented in the Faculty of Engineering of Mondragon Unibertsitatea in the second year of the Engineering in Industrial Organisation degree to help integrate statistical knowledge related to the design of...