Mathematics
8 years ago

High leverage points in data sets can change regression outcomes drastically.

Robust Estimation Methods and Robust Multicollinearity Diagnostics for Multiple Regression Model in the Presence of High Leverage Collinearity-Influential Observations
Arezoo Bagheri

Paper Summary

Outliers and multicollinearity can mess up multiple linear regression models. High leverage points can make multicollinearity worse. New robust methods like GM-DRGP-L1 and MGM3 are better than the usual OLS method. The RVIF(MM) and RVIF(MGM3) are new ways to spot multicollinearity.

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