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Multivariate outlier detection is usually based on Mahalanobis distances, by plugging in robust est...
A look at the psychology literature reveals that researchers still seem to encounter difficulties in...
Multivariate outlier identification requires the choice of reliable cut-off points for the robust di...
The Journal of the Royal Statistical Society, Series B (Statistical Methodology) has a long traditio...
Finding an unknown number of multivariate outliers Article (Accepted version) (Unrefereed
Multivariate outliers are usually identified by means of robust distances. A statistically principl...
SIGLEAvailable from British Library Document Supply Centre- DSC:DX92317 / BLDSC - British Library Do...
We provide thresholds for the test statistic for multiple outliers in multivariate normal samples. ...
Outlier identification is important in many applications of multivariate analysis. Either because th...
This issue was undated. The date given is an estimate.41 pages, 1 article*Detection of Multivariate ...
Researchers often lack knowledge about how to deal with outliers when analyzing their data. Even mor...
Outlier identification often implies inspecting each z-transformed variable and adding a Mahalanobis...
The classical estimators of multivariate location and scatter for the normal model are the sample m...
Outlier identification is important in many applications of multivariate analysis. Either because th...
As a part of the EUREDIT project new methods to detect multivariate outliers in incomplete survey da...
Multivariate outlier detection is usually based on Mahalanobis distances, by plugging in robust est...
A look at the psychology literature reveals that researchers still seem to encounter difficulties in...
Multivariate outlier identification requires the choice of reliable cut-off points for the robust di...
The Journal of the Royal Statistical Society, Series B (Statistical Methodology) has a long traditio...
Finding an unknown number of multivariate outliers Article (Accepted version) (Unrefereed
Multivariate outliers are usually identified by means of robust distances. A statistically principl...
SIGLEAvailable from British Library Document Supply Centre- DSC:DX92317 / BLDSC - British Library Do...
We provide thresholds for the test statistic for multiple outliers in multivariate normal samples. ...
Outlier identification is important in many applications of multivariate analysis. Either because th...
This issue was undated. The date given is an estimate.41 pages, 1 article*Detection of Multivariate ...
Researchers often lack knowledge about how to deal with outliers when analyzing their data. Even mor...
Outlier identification often implies inspecting each z-transformed variable and adding a Mahalanobis...
The classical estimators of multivariate location and scatter for the normal model are the sample m...
Outlier identification is important in many applications of multivariate analysis. Either because th...
As a part of the EUREDIT project new methods to detect multivariate outliers in incomplete survey da...
Multivariate outlier detection is usually based on Mahalanobis distances, by plugging in robust est...
A look at the psychology literature reveals that researchers still seem to encounter difficulties in...
Multivariate outlier identification requires the choice of reliable cut-off points for the robust di...