Add to ORKGThis issue was undated. The date given is an estimate.41 pages, 1 article*Detection of Multivariate Outliers* (Schwager, Steven J.; Margolin, Barry H.) 41 page
Researchers often lack knowledge about how to deal with outliers when analyzing their data. Even mor...
Multivariate outlier identification requires the choice of reliable cut-off points for the robust di...
A statistical technique and the necessary computer program for editing multivariate data are present...
Finding an unknown number of multivariate outliers Article (Accepted version) (Unrefereed
The Journal of the Royal Statistical Society, Series B (Statistical Methodology) has a long traditio...
Outlier identification often implies inspecting each z-transformed variable and adding a Mahalanobis...
Available through: http://www2.lse.ac.uk/statistics/research/researchreports_2007.asp
This issue was undated. The date given is an estimate.102 pages, 1 article*Analysis of Variance for ...
hereby acknowledged. Opinions expressed and conclusions arrived at, are those of the author and are ...
This issue was undated. The date given is an estimate.38 pages, 1 article*Empirical Bayes Confidence...
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...
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...
ABSTRACT: Occurrences of outliers in multivariate time series are unpredictable events which may sev...
Researchers often lack knowledge about how to deal with outliers when analyzing their data. Even mor...
Multivariate outlier identification requires the choice of reliable cut-off points for the robust di...
A statistical technique and the necessary computer program for editing multivariate data are present...
Finding an unknown number of multivariate outliers Article (Accepted version) (Unrefereed
The Journal of the Royal Statistical Society, Series B (Statistical Methodology) has a long traditio...
Outlier identification often implies inspecting each z-transformed variable and adding a Mahalanobis...
Available through: http://www2.lse.ac.uk/statistics/research/researchreports_2007.asp
This issue was undated. The date given is an estimate.102 pages, 1 article*Analysis of Variance for ...
hereby acknowledged. Opinions expressed and conclusions arrived at, are those of the author and are ...
This issue was undated. The date given is an estimate.38 pages, 1 article*Empirical Bayes Confidence...
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...
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...
ABSTRACT: Occurrences of outliers in multivariate time series are unpredictable events which may sev...
Researchers often lack knowledge about how to deal with outliers when analyzing their data. Even mor...
Multivariate outlier identification requires the choice of reliable cut-off points for the robust di...
A statistical technique and the necessary computer program for editing multivariate data are present...