S. R. Paul
Abstract
Abstract A brief review of the procedures for detecting outliers in linear regression models using studentized residuals is provided. Several single and multiple outlier detection procedures and their advantages and disadvantages are discussed.
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Abstract A brief review of the procedures for detecting outliers in linear regression models using studentized residuals is provided. Several single and multiple outlier detection procedures and their advantages and disadvantages are discussed.
Key concepts: Studentized range, Studentized residual, Outlier, Residual, Linear regression, Regression, Anomaly detection, Computer science