Robust Methods for Anomaly Detection in Econometrics

Name: Robust Methods for Anomaly Detection in Econometrics
Price: 430.99 AUD
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ISBN: 9798337382982

Mohieddine Rahmouni

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Paperback

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English

Business Science Reference
19 February 2026

Economics; Data capture & analysis

Anomaly detection plays a critical role in econometrics by identifying unusual patterns and data irregularities that can distort inference and lead to misleading conclusions. Economic data is often noisy and affected by reporting errors and rare but impactful events, making traditional detection methods insufficient. Robust methods for anomaly detection seek to address these challenges by remaining reliable while preserving interpretability and statistical validity. Developing and applying such methods is essential for improving the accuracy of econometric analysis and supporting sound economic policy and decision-making. Robust Methods for Anomaly Detection in Econometrics explores innovations surrounding anomalous observations in modern quantitative research. It examines influential observations in complex, high-volume, and high-velocity data settings. Covering topics such as econometrics, robust methods, and research, this book is an excellent resource for academicians, researchers, policy makers, software engineering, and graduate students.

Edited by: Mohieddine Rahmouni
Imprint: Business Science Reference
Country of Publication: United States
Dimensions: Height: 254mm, Width: 178mm,
ISBN: 9798337382982
Pages: 600
Publication Date: 19 February 2026
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

Dr. Mohieddine Rahmouni , Ph.D., is an Associate Professor of Economics at the Applied College, King Faisal University (Al-Ahsa, Saudi Arabia), and at the High School of Economic and Commercial Sciences of Tunis (ESSECT), University of Tunis, Tunisia. He earned his Ph.D. in Economics through a joint doctoral program between the University of Montesquieu Bordeaux IV (now the University of Bordeaux), France, and the University of Tunis. His research lies at the intersection of innovation economics, applied econometrics, productivity analysis, and industrial dynamics, with a particular focus on economic development and structural transformation in emerging economies. Dr. Rahmouni’s scholarly work has been published in reputable international journals such as Structural Change and Economic Dynamics, the Journal of Industrial and Business Economics, and the International Journal of Innovation and Technology Management. His research explores the role of external knowledge sources, the determinants of innovation performance, and the policy mechanisms that influence firm-level productivity and competitiveness. Through rigorous empirical analysis, he contributes to advancing the understanding of how innovation systems and policy frameworks shape economic growth and industrial development in transitioning and emerging markets.