The Identification of Outliers in Wrapped Normal Data by using Ga ...
Abstract: Outlier is attached importance in statistics and engineering, because it might result in misleading identification results.
Outlier Detection in Regression Models with ARIMA Errors using ...generated by such a statistical distribution (e.g., mean and standard deviation). ? Outliers are points that have a low probability to be generated by the. CENSUS/SRD/RR-88114 OUTLIERS IN TIME SERIESThe 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 ...
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