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Robust regression and outlier detection Annick M. Leroy, Peter J. Rousseeuw
Publisher: Wiley

Whole host of other multivariate methods. Therefore, robust principal component analysis (ROBPCA) [23] was used to detect the outliers. I've conducted a lot of univariate analyses in SAS, yet I'm always surprised when the best way to carry out the analysis uses a SAS regression procedure. The ROBUSTREG procedure provides four different How can you detect univariate outliers in SAS? One way is to call the ROBUSTREG procedure! I think that the Lewandowsky data set may have a chance of entering the robust regression textbooks. Why am I using However, you can also use the ROBUSTREG procedure to estimate robust statistics. That is the only positive aspect of the Lewandowsky research I've thus far been able to detect. I always think, "This is a univariate analysis! Robust Regression and Outlier Detection by Peter J. Leroy · Tweetear Book Details: Book Title: Robust Regression and Outlier Detection Author: Peter J. The supplementary online material for the article is being extended to contain additional information (e.g., the outlier analysis from the preceding post).