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Robust Methods for Anomaly Detection in Econometrics by Mohieddine Rahmouni at Abbey's Bookshop,
Robust Methods for Anomaly Detection in Econometrics
— —
Mohieddine Rahmouni

Robust Methods for Anomaly Detection in Econometrics

Mohieddine Rahmouni

$634.95   $507.62

Hardback

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English
Igi Global Scientific Publishing
19 February 2026
Economics; Development economics; Data capture & analysis; Data mining
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:  
Imprint:   Igi Global Scientific Publishing
Dimensions:   Height: 254mm,  Width: 178mm,  Spine: 33mm
Weight:   1.247kg
ISBN:   9798337382975
Pages:   425
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Hardback
Publisher's Status:   Active

Dr. Mohieddine Rahmouni is an Associate Professor of Economics and Quantitative Methods at King Faisal University and the University of Tunis (Higher School of Economic and Commercial Sciences of Tunis). He earned his Ph.D. through a joint program between the University of Montesquieu Bordeaux-IV and the University of Tunis. Dr. Rahmouni's research spans the economics and econometrics of innovation, applied econometrics, productivity, technology, and industrial dynamics, with a focus on the intersections of these fields in driving economic development and industrial transformation.

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