Page 452 - Jolliffe I. Principal Component Analysis

Apley, D.W. and Shi, J. (2001). A factor-analysis method for diagnosing
variability in multivariate manufacturing processes. Technometrics, 43,
84–95. References 417
Arbuckle, J. and Friendly, M.L. (1977). On rotating to smooth functions.
Psychometrika, 42, 127–140.
Asselin de Beauville, J.-P. (1995). Non parametric discrimination by the
nearest principal axis method (NPA)—preliminary study. In Data Sci-
ence and Its Application, eds. Y. Escoufier, B. Fichet, E. Diday, L. Lebart,
C. Hayashi, N. Ohsumi and Y. Baba, 145–154. Tokyo: Academic Press.
Atiqullah, M. and Uddin, M. (1993). Sweep-out components analysis. J.
Appl. Statist. Sci., 1, 67–79.
Baba, Y. (1995). Scaling methods for ranked data. In Data Science and Its
Application, eds. Y. Escoufier, B. Fichet, E. Diday, L. Lebart, C. Hayashi,
N. Ohsumi and Y. Baba, 133–144. Tokyo: Academic Press.
Baccini, A., Besse, P. and de Falguerolles, A. (1996). A L 1 -norm PCA and
a heuristic approach. In Ordinal and Symbolic Data Analysis, eds. E.
Diday, Y. Lechevalier and O. Opitz, 359–368. Berlin: Springer-Verlag.
Bacon-Shone, J. (1992). Ranking methods for compositional data. Appl.
Statist., 41, 533–537.
Bargmann, R.E. and Baker, F.D. (1977). A minimax approach to compo-
nent analysis. In Applications of Statistics, ed. P.R. Krishnaiah, 55–69.
Amsterdam: North-Holland.
Barnett, T.P. and Hasselmann, K. (1979). Techniques of linear prediction,
with application to oceanic and atmospheric fields in the tropical Pacific.
Rev. Geophys. Space Phys., 17, 949–968.
Barnett, V. (1981). Interpreting Multivariate Data. Chichester: Wiley.
Barnett, V. and Lewis, T. (1994). Outliers in Statistical Data, 3rd edition.
Chichester: Wiley.
B¨arring, L. (1987). Spatial patterns of daily rainfall in central Kenya: Ap-
plication of principal component analysis, common factor analysis and
spatial correlation. J. Climatol., 7, 267–289.
Bartels, C.P.A. (1977). Economic Aspects of Regional Welfare, Income
Distribution and Unemployment. Leiden: Martinus Nijhoff.
Bartholomew, D.J. and Knott, M. (1999). Latent Variable Models and
Factor Analysis, 2nd edition. London: Arnold.
Bartkowiak, A. (1982). The choice of representative variables by stepwise
regression. Zastosowania Matematyki, 17, 527–538.
Bartkowiak, A. (1991). How to reveal dimensionality of the data? In Ap-
plied Stochastic Models and Data Analysis,eds.R.Guti´errez and M.J.
Valderrama, 55–64. Singapore: World Scientific.
Bartkowiak, A., Lukasik, S., Chwistecki, K., Mrukowicz, M. and Mor-
genstern, W. (1988). Transformation of data and identification of
outliers—as experienced in an epidemiological study. EDV in Medizin
und Biologie, 19, 64–69.