Page 457 - Jolliffe I. Principal Component Analysis

References
422
Buell, C.E. (1979). On the physical interpretation of empirical orthogonal
functions. Sixth Conference on Probability and Statistics in Atmospheric
Science, 112–117. American Meteorological Society.
Burnham, A.J., MacGregor, J.F. and Viveros, R. (1999). Latent variable
multivariate regression modelling. Chemometrics Intell. Lab. Syst., 48,
167–180.
Butler, N.A. and Denham, M.C. (2000). The peculiar shrinkage properties
of partial least squares regression. J. R. Statist. Soc. B, 62, 585–593.
Cadima, J. (2000). A scale-invariant component analysis: MCCA. Tech-
nical report 4, Departamento de Matem´atica, Instituto Superior de
Agronomia, Universidade T´ecnica de Lisboa.
Cadima, J., Cerdeira, J.O. and Minhoto, M. (2002). A computational study
of algorithms for variable selection in multivariate statistics. Submitted
for publication.
Cadima, J. and Jolliffe, I.T. (1995). Loadings and correlations in the
interpretation of principal components. J. Appl. Statist., 22, 203–214.
Cadima, J.F.C.L. and Jolliffe, I.T. (1996). Size- and shape-related principal
component analysis. Biometrics, 52, 710–716.
Cadima, J. and Jolliffe, I. (1997). Some comments on ten Berge, J.M.F.
and Kiers, H.A.L. (1996). Optimality criteria for principal component
analysis and generalizations. Brit. J. Math. Stat. Psychol., 50, 365–366.
Cadima, J.F.C.L. and Jolliffe, I.T. (2001). Variable selection and the in-
terpretation of principal subspaces. J. Agri. Biol. Environ. Statist., 6,
62–79.
Cahalan, R.F. (1983). EOF spectral estimation in climate analysis. Sec-
ond International Meeting on Statistical Climatology, Preprints volume,
4.5.1–4.5.7.
Cai, W. and Baines, P. (2001). Forcing of the Antarctic Circumpolar Wave
by ENSO teleconnections. J. Geophys. Res.—Oceans, 106, 9019–9038.
Cailliez, F. and Pag`es, J.-P. (1976). Introduction `a l’Analyse des Donn´ees.
Paris: SMASH.
Calder, P. (1986). Influence Functions in Multivariate Analysis. Unpub-
lished Ph.D. thesis, University of Kent at Canterbury.
Campbell, N.A. (1980). Robust procedures in multivariate analysis 1:
Robust covariance estimation. Appl. Statist., 29, 231–237.
Campbell, N.A. and Atchley, W.R. (1981). The geometry of canonical
variate analysis. Syst. Zool., 30, 268–280.
Capra, W.B. and M¨uller, H.-G. (1997). An accelerated-time model for
response curves. J. Amer. Statist. Assoc., 92, 72–83.
Carr, D.B. (1998). Multivariate graphics. In Encyclopedia of Biostatistics,
eds. P. Armitage and T. Colton, 2864–2886. Chichester: Wiley.
Casin, Ph. (2001). A generalization of principal component analysis to K
sets of variables. Computat. Statist. Data Anal., 35, 417–428.