Page 486 - Jolliffe I. Principal Component Analysis

451
References
Soofi, E.S. (1988). Principal component regression under exchangeability.
Commun. Statist.—Theor. Meth., 17, 1717–1733.
Sprent, P. (1972). The mathematics of size and shape. Biometrics, 28,
23–37.
Spurrell, D.J. (1963). Some metallurgical applications of principal compo-
nents. Appl. Statist., 12, 180–188.
Srivastava, M.S. and Khatri, C.G. (1979). An Introduction to Multivariate
Statistics. New York: North-Holland.
Stauffer, D.F., Garton, E.O. and Steinhorst, R.K. (1985). A comparison
of principal components from real and random data. Ecology, 66, 1693–
1698.
Stein, C.M. (1960). Multiple regression. In Contributions to Probability and
Statistics. Essays in Honour of Harold Hotelling, ed. I. Olkin, 424–443.
Stanford: Stanford University Press.
Stewart, D. and Love, W. (1968). A general canonical correlation index.
Psychol. Bull., 70, 160–163.
Stoffer, D.S. (1999). Detecting common signals in multiple time series using
the spectral envelope. J. Amer. Statist. Assoc., 94, 1341–1356.
Stone, E.A. (1984). Cluster Analysis of English Counties According
to Socio-economic Factors. Unpublished undergraduate dissertation.
University of Kent at Canterbury.
Stone, J.V. and Porrill, J. (2001). Independent component analysis and
projection pursuit: A tutorial introduction. Unpublished technical report.
Psychology Department, University of Sheffield.
Stone, M. and Brooks, R.J. (1990). Continuum regression: Cross-validated
sequentially constructed prediction embracing ordinary least squares,
partial least squares and principal components regression (with discus-
sion). J. R. Statist. Soc. B, 52, 237–269.
Stone, R. (1947). On the interdependence of blocks of transactions (with
discussion). J. R. Statist. Soc. B, 9, 1–45.
Storvik, G. (1993). Data reduction by separation of signal and noise
components for multivariate spatial images. J. Appl. Statist., 20,
127–136.
Stuart, M. (1982). A geometric approach to principal components analysis.
Amer. Statistician, 36, 365–367.
Sugiyama, T. and Tong, H. (1976). On a statistic useful in dimensionality
reduction in multivariable linear stochastic system. Commun. Statist.,
A5, 711–721.
Sullivan, J.H., Woodall, W.H. and Gardner, M.M. (1995) Discussion of
‘Shewhart-type charts in nonstandard situations,’ by K.C.B. Roes and
R.J.M.M. Does. Technometrics, 37, 31–35.
Sundberg, P. (1989). Shape and size-constrained principal components
analysis. Syst. Zool., 38, 166–168.
Sylvestre, E.A., Lawton, W.H. and Maggio, M.S. (1974). Curve resolution
using a postulated chemical reaction. Technometrics, 16, 353–368.