Detection of multivariate outliers in business survey data with incomplete information
- Valentin Todorov
- Matthias Templ
- Peter Filzmoser
DOIAbstract
Multivariate outlier detection, Robust statistics, Missing values, 62G35, 62D05, 62H99,
Multivariate outlier detection, Robust statistics, Missing values, 62G35, 62D05, 62H99,
The classical estimators of multivariate location and scatter for the normal model are the sample m...
Many different methods for macro editing can be found in the literature but only few of them are bas...
The classical estimators of multivariate location and scatter for the normal model are the sample m...
We present a semi-automatic method of outlier detection for continuous, multivariate survey data. In...
As a part of the EUREDIT project new methods to detect multivariate outliers in incomplete survey da...
for multivariate outlier detection in incomplete survey data by Cédric Béguin and Beat Hullige
This issue was undated. The date given is an estimate.41 pages, 1 article*Detection of Multivariate ...
Available through: http://www2.lse.ac.uk/statistics/research/researchreports_2007.asp
Finding an unknown number of multivariate outliers Article (Accepted version) (Unrefereed
Outlier identification is important in many applications of multivariate analysis. Either because th...
The Journal of the Royal Statistical Society, Series B (Statistical Methodology) has a long traditio...
Summary. We use the forward search to provide robust Mahalanobis distances to detect the presence of...
Outlier identification often implies inspecting each z-transformed variable and adding a Mahalanobis...
Outlier identification is important in many applications of multivariate analysis. Either because th...
SIGLEAvailable from British Library Document Supply Centre- DSC:DX92317 / BLDSC - British Library Do...
The classical estimators of multivariate location and scatter for the normal model are the sample m...
Many different methods for macro editing can be found in the literature but only few of them are bas...
The classical estimators of multivariate location and scatter for the normal model are the sample m...
We present a semi-automatic method of outlier detection for continuous, multivariate survey data. In...
As a part of the EUREDIT project new methods to detect multivariate outliers in incomplete survey da...
for multivariate outlier detection in incomplete survey data by Cédric Béguin and Beat Hullige
This issue was undated. The date given is an estimate.41 pages, 1 article*Detection of Multivariate ...
Available through: http://www2.lse.ac.uk/statistics/research/researchreports_2007.asp
Finding an unknown number of multivariate outliers Article (Accepted version) (Unrefereed
Outlier identification is important in many applications of multivariate analysis. Either because th...
The Journal of the Royal Statistical Society, Series B (Statistical Methodology) has a long traditio...
Summary. We use the forward search to provide robust Mahalanobis distances to detect the presence of...
Outlier identification often implies inspecting each z-transformed variable and adding a Mahalanobis...
Outlier identification is important in many applications of multivariate analysis. Either because th...
SIGLEAvailable from British Library Document Supply Centre- DSC:DX92317 / BLDSC - British Library Do...
The classical estimators of multivariate location and scatter for the normal model are the sample m...
Many different methods for macro editing can be found in the literature but only few of them are bas...
The classical estimators of multivariate location and scatter for the normal model are the sample m...
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