Mathematics
8 years ago

New regression method tackles outliers and correlated variables for accurate predictions.

1 view
A Combined Biased-Robust Estimator for Dealing with Influence and Collinearity in Regression
James R. Simpson

Paper Summary

Regression analysis is a common statistical tool used to fit models to data. The most popular method, least squares, relies on certain assumptions that can be unrealistic. This study aims to create a new estimator that can handle outliers and correlated variables better. The researchers found that this new method performs well even when the data violates the usual assumptions of least squares.

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