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Symbolic Covariance Principal Component Analysis and Visual..:

Le-Rademacher, Jennifer ; Billard, Lynne
Journal of Computational and Graphical Statistics. 21 (2012) 2 - p. 413-432 , 2012

Link: https://www.jstor.org/stable/41739797

RT Journal
T1 <Title>Symbolic Covariance Principal Component Analysis and Visualization for Interval-Valued Data</Title>

UL https://suche.suub.uni-bremen.de/peid=jstor-41739797&Exemplar=1&LAN=DE
				
A1 Le-Rademacher, Jennifer
A1 Billard, Lynne
PB American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America
YR 2012
SN 1061-8600
K1 Mathematics
K1 Pure mathematics
K1 Geometry
K1 Euclidean geometry
K1 Plane geometry
K1 Vertices
K1 Mathematical analysis
K1 Principal components analysis
K1 Applied mathematics
K1 Statistics
K1 Applied statistics
K1 Descriptive statistics
K1 Measures of variability
K1 Multivariate statistical analysis
K1 Covariance
K1 Geometric shapes
K1 Polytopes
K1 Linear algebra
K1 Matrix theory
K1 Matrices
K1 Covariance matrices
K1 Social sciences
K1 Communications
K1 Semiotics
K1 Symbolism
K1 Statistical variance
K1 Information science
K1 Information management
K1 Data management
K1 Data visualization
K1 Linear transformations
K1 Negotiation
K1 Negotiation strategies
K1 Mixed strategy
JF Journal of Computational and Graphical Statistics
VO 21
IS 2
SP 413
OP 432
LK http://dx.doi.org/https://www.jstor.org/stable/41739797
DO https://www.jstor.org/stable/41739797
SF ELIB - SuUB Bremen

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