Detection of single influential points in OLS regression model building

@inproceedings{Meloun2001DetectionOS,
  title={Detection of single influential points in OLS regression model building},
  author={Milan Meloun and Jiřı́ Militk{\'y}},
  year={2001}
}
Identifying outliers and high-leverage points is a fundamental step in the least-squares regression model building process. Various influence measures based on different motivational arguments, and designed to measure the influence of observations on different aspects of various regression results, are elucidated and critiqued here. On the basis of a statistical analysis of the residuals (classical, normalized, standardized, jackknife, predicted and recursive) and diagonal elements of a… CONTINUE READING

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