Page 461 - Jolliffe I. Principal Component Analysis
P. 461
References
426
Daigle, G. and Rivest, L.-P. (1992). A robust biplot. Canad. J. Statist., 20,
241–255.
Daling, J.R. and Tamura, H. (1970). Use of orthogonal factors for selection
of variables in a regression equation—an illustration. Appl. Statist., 19,
260–268.
Darnell, A.C. (1994). A Dictionary of Econometrics. Aldershot: Edward
Elgar.
Darroch, J.N. and Mosimann, J.E. (1985). Canonical and principal
components of shape. Biometrika, 72, 241–252.
Daudin, J.J., Duby, C. and Tr´ecourt, P. (1988). Stability of principal
component analysis studied by the bootstrap method. Statistics, 19,
241–258.
Daudin, J.J., Duby, C. and Tr´ecourt, P. (1988). PCA stability studied by
the bootstrap and the infinitesimal jackknife method. Statistics, 20, 255–
270.
Daultrey, S. (1976). Principal Components Analysis. Norwich: Geo Ab-
stracts.
Davenport, M. and Studdert-Kennedy, G. (1972). The statistical analysis
of aesthetic judgment: An exploration. Appl. Statist., 21, 324–333.
Davies, P.T. and Tso, M.K.-S. (1982). Procedures for reduced-rank
regression. Appl. Statist., 31, 244–255.
Davison, M.L. (1983). Multidimensional Scaling. New York: Wiley.
Dawkins, B. (1990). Reply to Comment on Dawkins (1989) by W.F.
Kuhfeld. Amer. Statistician, 44, 58–60.
Dear, R.E. (1959). A Principal Components Missing Data Method for Mul-
tiple Regression Models. SP-86. Santa Monica: Systems Development
Corporation.
de Falguerolles, A. (2000). GBMs: GLMs with bilinear terms. In COMP-
STAT 2000, eds. J.G. Bethlehem and P.G.M. van der Heijden, 53–64.
Heidelberg: Physica-Verlag.
de Falguerolles, A. and Jmel, S. (1993). Un crit`ere de choix de variables en
analyses en composantes principales fond´e sur des mod`eles graphiques
gaussiens particuliers. Canad. J. Statist., 21, 239–256.
de Leeuw, J. (1986). Comment on Caussinus. In Multidimensional Data
Analysis, eds. J. de Leeuw, W. Heiser, J. Meulman and F. Critchley,
171–176. Leiden: DSWO Press.
de Leeuw, J. and van Rijckevorsel, J. (1980). Homals and Princals. Some
generalizations of principal components analysis. In Data Analysis and
Informatics, eds. E. Diday, L. Lebart, J.P. Pag`es and R. Tomassone,
231–242. Amsterdam: North-Holland.
de Ligny, C.L., Nieuwdorp, G.H.E., Brederode, W.K., Hammers, W.E. and
van Houwelingen, J.C. (1981). An application of factor analysis with
missing data. Technometrics, 23, 91–95.
Dempster, A.P. (1969). Elements of Continuous Multivariate Analysis.
Reading, Massachusetts: Addison-Wesley.

