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Common Principal Components
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(14)
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Common Principal Components and Related Multivariate Models
Common Principal Components and Related Multivariate Models,B. Flury
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Common Principal Components and Related Multivariate Models
(
Citations: 199
)
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B. Flury
Published in 1988.
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Citation Context
(70)
...We use three different starting points: (i) the modified PCA [
9
] (denoted by pca); (ii) the rank1 starting point proposed in [5] (denoted by rank1); and (iii) the nearest correlation matrix obtained by the method in [21] (denoted by ncm)...
...The first is the modified PCA (Principal Component Analysis) point, which is very popular in financial research [
9
, 15, 20]...
Qingna Li
,
et al.
Block relaxation and majorization methods for the nearest correlation ...
...This is most conveniently done by common principal component analysis (CPCA;
Flury 1988
), which allows testing whether the assumption of a common first principal component (CPC1) is met...
...Inspection of a few simulation iterations showed that this pooled withinpopulation PC1 was always nearly identical to the common PC1 (CPC1) estimated by CPCA [
Flury 1988;
implemented by Phillips and Arnold 1999; (co)variance matrices were generally equal or proportional]...
...PCSC started with common principal component analysis (CPCA;
Flury 1988;
Phillips and Arnold 1999) on grand meanscaled morphology to test whether the two stickleback populations shared their first principal component...
Daniel Berner
.
Size correction in biology: how reliable are approaches based on (comm...
...) can be used to examine how immune indices are correlated within a single group, and common principal components analysis (CPCA;
...
Deborah M. Buehler
,
et al.
One Problem, Many Solutions: Simple Statistical Approaches Help Unrave...
...Following the suggestions of
Flury (1988)
, these different “ways” can be described by usingthe eigenvaluesand eigenvectorsrepresentation of thecovariances, according to the principal component analysis...
...From Flury and Riedwyl (1983), and based on (
Flury 1988, pp. 51
–56), the following p = 2 variables, measured (in millimeters) on former Swiss 1000franc bank notes, will be considered:...
Francesca Greselin
,
et al.
Assessing the pattern of covariance matrices via an augmentation multi...
...For details of the idea of Common Principal Components, see [
12
]...
Shahzad Cheema
,
et al.
Applicability of feature selection on multivariate time series data fo...
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Citations
(199)
Novel influenza A(H1N1) outbreak among French armed forces in 2009: Results of Military Influenza Surveillance System
(
Citations: 1
)
A. Mayet
,
S. Duron
,
P. Nivoix
,
R. HausCheymol
,
C. Ligier
,
K. Gache
,
A. Dia
,
G. Manet
,
C. Verret
,
V. Pommier de Santi
,
C. Bigaillon
,
C. Martinaud
http://academic.research.microsoft.com/io.ashx?type=5&id=49129264&selfId1=0&selfId2=0&maxNumber=12&query=
Journal:
Public Health
, vol. 125, no. 8, pp. 494500, 2011
Block relaxation and majorization methods for the nearest correlation matrix with factor structure
(
Citations: 1
)
Qingna Li
,
Houduo Qi
,
Naihua Xiu
Journal:
Computational Optimization and Applications  COMPUT OPTIM APPL
, pp. 123, 2011
Size correction in biology: how reliable are approaches based on (common) principal component analysis?
(
Citations: 1
)
Daniel Berner
Journal:
Oecologia
, vol. 166, no. 4, pp. 961971, 2011
One Problem, Many Solutions: Simple Statistical Approaches Help Unravel the Complexity of the Immune System in an Ecological Context
Deborah M. Buehler
,
Maaike A. Versteegh
,
Kevin D. Matson
,
B. Irene Tieleman
,
Frederick R. Adler
Journal:
PLOS One
, vol. 6, no. 4, 2011
Assessing the pattern of covariance matrices via an augmentation multiple testing procedure
Francesca Greselin
,
Salvatore Ingrassia
,
Antonio Punzo
Journal:
Statistical Methods and Applications  SMA
, vol. 20, no. 2, pp. 141170, 2011