CENSUS/SRD/RR-88114 OUTLIERS IN TIME SERIES
The detection of outliers in multivariate data is an important task in Statistics ... The data might for instance be rotated, translated or rescaled (for example.
Kapitel 6: Outlier Detection Outlier DetectionWe investigate the performance of robust estimates of multivariate loca tion under nonstandard data contamination models such as componentwise outliers ... Outlier Detection Using Nonconvex Penalized Regression - Art OwenThis paper studies the outlier detection problem from the point of view of penalized regressions. Our regression model adds one mean shift parameter for each of ... Outlier Detection Techniques - DidaWikigenerated by such a statistical distribution (e.g., mean and standard deviation). Outliers are points that have a low probability to be generated by the.
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