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A Comparison of Multivariate Outlier Detection Methods for ..:

Penny, Kay I. ; Jolliffe, Ian T.
Journal of the Royal Statistical Society. Series D (The Statistician). 50 (2001) 3 - p. 295-308 , 2001

Link: https://www.jstor.org/stable/2680933

RT Journal
T1 <Title>A Comparison of Multivariate Outlier Detection Methods for Clinical Laboratory Safety Data</Title>

UL https://suche.suub.uni-bremen.de/peid=jstor-2680933&Exemplar=1&LAN=DE
				
A1 Penny, Kay I.
A1 Jolliffe, Ian T.
PB Blackwell Publishers
YR 2001
SN 0039-0526
SN 1467-9884
K1 Laboratory Safety Data
K1 Multivariate Outlier Detection
K1 Simulation Study
K1 Information science
K1 Data products
K1 Datasets
K1 Mathematics
K1 Applied mathematics
K1 Statistics
K1 Applied statistics
K1 Descriptive statistics
K1 Statistical distributions
K1 Outliers
K1 Applied sciences
K1 Materials science
K1 Materials
K1 Contaminants
K1 Pure mathematics
K1 Linear algebra
K1 Matrix theory
K1 Matrices
K1 Covariance matrices
K1 Vector analysis
K1 Mathematical vectors
K1 Eigenvectors
K1 Eigenvalues
K1 Distribution functions
K1 Probability distributions
K1 Gaussian distributions
K1 Statistical results
K1 Errors in statistics
K1 False positive errors
K1 Health sciences
K1 Medical sciences
K1 Medical research
K1 Clinical research
K1 Clinical trials
K1 Statistical models
K1 Monte Carlo methods
JF Journal of the Royal Statistical Society. Series D (The Statistician)
VO 50
IS 3
SP 295
OP 308
LK http://dx.doi.org/https://www.jstor.org/stable/2680933
DO https://www.jstor.org/stable/2680933
SF ELIB - SuUB Bremen

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