Page 464 - Jolliffe I. Principal Component Analysis
P. 464
Feeney, G.J. and Hester, D.D. (1967). Stock market indices: A principal
components analysis. In Risk Aversion and Portfolio Choice, eds. D.D.
Hester and J. Tobin, 110–138. New York: Wiley. References 429
Fellegi, I.P. (1975). Automatic editing and imputation of quantitative data.
Bull. Int. Statist. Inst., 46, (3), 249–253.
Ferr´e, L. (1990). A mean square error criterion to determine the number of
components in a principal component analysis with known error struc-
ture. Preprint. Laboratoire de Statistique et Probabilit´es, University Paul
Sabatier, Toulouse.
Ferr´e, L. (1995a). Improvement of some multidimensional estimates by
reduction of dimensionality. J. Mult. Anal., 54, 147–162.
Ferr´e, L. (1995b). Selection of components in principal component anal-
ysis: A comparison of methods. Computat. Statist. Data Anal., 19,
669–682.
Filzmoser, P. (2000). Orthogonal principal planes. Psychometrika, 65, 363–
376.
Fisher, R.A. and Mackenzie, W.A. (1923). Studies in crop variation II. The
manurial response of different potato varieties. J. Agri. Sci., 13, 311–320.
Flury, B. (1988). Common Principal Components and Related Models.New
York: Wiley.
Flury, B.D. (1993). Estimation of principal points. Appl. Statist., 42, 139–
151.
Flury B.D. (1995). Developments in principal component analysis. In
Recent Advances in Descriptive Multivariate Analysis, ed. W.J. Krza-
nowski, 14–33. Oxford: Clarendon Press.
Flury, B.D. (1997). A First Course in Multivariate Statistics. New York:
Springer.
Flury, B.D., Nel, D.G. and Pienaar, I. (1995). Simultaneous detection of
shift in means and variances. J. Amer. Statist. Assoc., 90, 1474–1481.
Flury, B.D. and Neuenschwander, B.E. (1995). Principal component mod-
els for patterned covariance matrices with applications to canonical
correlation analysis of several sets of variables. In Recent Advances in
Descriptive Multivariate Analysis, ed. W.J. Krzanowski, 90–112. Oxford:
Clarendon Press.
Flury, B. and Riedwyl, H. (1981). Graphical representation of multivariate
data by means of asymmetrical faces. J. Amer. Statist. Assoc., 76, 757–
765.
Flury, B. and Riedwyl, H. (1988). Multivariate Statistics. A Practical
Approach. London: Chapman and Hall.
Folland, C. (1988). The weighting of data in an EOF analysis. Met 0 13
Discussion Note 113. UK Meteorological Office.
Folland, C.K., Parker, D.E. and Newman, M. (1985). Worldwide marine
temperature variations on the season to century time scale. Proceedings
of the Ninth Annual Climate Diagnostics Workshop, 70–85.

