Mathematics
2 years ago

New Method Beats Multicollinearity and Outliers for More Accurate Predictions

BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN
RIDGE LEAST ABSOLUTE DEVIATION PERFORMANCE IN ADDRESSING MULTICOLLINEARITY AND DIFFERENT LEVELS OF OUTLIER SIMULTANEOUSLY
Netti Herawati, Subian Saidi, Dorrah Azis

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The researchers tested a method called ridge least absolute deviation to handle multicollinearity and outliers in data. They used simulation data with different sample sizes and outlier levels to compare this method with the least squares method. The results showed that ridge least absolute deviation performed better, giving more accurate estimates of regression coefficients in various scenarios.