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Blankmeyer, Eric – 1996
A high-breakdown estimator is a robust statistic that can withstand a large amount of contaminated data. In linear regression, high-breakdown estimators can detect outliers and distinguish between good and bad leverage points. This paper summarizes the case for high-breakdown regression and emphasizes the least quartile difference estimator (LQD)…
Descriptors: Computer Software, Estimation (Mathematics), Least Squares Statistics, Regression (Statistics)