Robust econometrics addresses the fragility of classical estimation and inference in anomaly-prone economic data. This chapter integrates robust estimation, robust inference, and anomaly diagnostics into a unified framework, highlighting the influence of outliers, structural breaks, and...

Econometric analysis is often based on clean and well-behaved data assumptions but financial and economic data in the real world is often contaminated by outliers, measurement error, missing cases and misspecification of the model. The parameter estimates when classical econometric methods are...

Reliability analysis is critical in measuring the effectiveness and detecting the weakness or mode of failure of other systems in various sectors such as engineering, healthcare, and social science. Stress-strength reliability is the measure of the reliability of a component; that is, the...

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...