Mathematics - Outliers detection

Outliers detection in mathematics involves identifying data points that significantly deviate from the overall pattern of a dataset. Techniques such as Z-scores, IQR (Interquartile Range), and statistical tests help to detect these anomalies. Removing or analyzing outliers is essential for accurate modeling and inference, as they can skew results and lead to incorrect conclusions. Proper outlier detection ensures data integrity and improves the robustness of statistical analyses.