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Jolliffe I. Principal Component Analysis (2ed., Springer, 2002)(518s)

Jolliffe I. Principal Component Analysis (2ed., Springer, 2002)(518s)

Jolliffe I. Principal Component Analysis (2ed., Springer, 2002)(518s)

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420 ReferencesBesse, P. (1992). PCA stability and choice of dimensionality. Stat. Prob.Lett., 13, 405–410.Besse, P.C. (1994a). Insight of a dreamed PCA. In SEUGI/CLUB SASProceedings, 744–759.Besse, P.C. (1994b). Models for multivariate data analysis. In COMPSTAT94, eds. R. Dutter and W. Grossmann, 271–285. Heidelberg: Physica-Verlag.Besse, P.C., Cardot, H. and Ferraty, F. (1997). Simultaneous nonparametricregressions of unbalanced longitudinal data. Computat.Statist. Data Anal., 24, 255–270.Besse, P.C., Cardot, H. and Stephenson, D.B. (2000). Autoregressive forecastingof some functional climatic variations. Scand. J. Statist., 27,673–687.Besse, P. and de Falguerolles, A. (1993). Application of resampling methodsto the choice of dimension in principal component analysis. In ComputerIntensive Methods in Statistics, eds.W.Härdle and L. Simar, 167–176.Heidelberg: Physica-Verlag.Besse, P.C. and Ferraty, F. (1995). A fixed effect curvilinear model.Computat. Statist., 10, 339–351.Besse, P. and Ferre, L. (1993). Sur l’usage de la validation croisée en analyseen composantes principales. Rev. Statistique Appliquée, 41, 71–76.Besse, P. and Ramsay, J.O. (1986). <strong>Principal</strong> components analysis ofsampled functions. Psychometrika, 51, 285–311.Bhargava, R.P. and Ishizuka, T. (1981). Selection of a subset of variablesfrom the viewpoint of variation—an alternative to principal componentanalysis. In Proc. Indian Statist. Inst. Golden Jubilee Int. Conf. onStatistics: Applications and New Directions, 33–44.Bibby, J. (1980). Some effects of rounding optimal estimates. Sankhya B,42, 165–178.Bishop, C.M. (1995) Neural Networks for Pattern Recognition. Oxford:Clarendon Press.Bishop, C.M. (1999). Bayesian PCA. In Advances in Neural InformationProcessing Systems, 11, eds. S.A. Solla, M.S. Kearns and D.A. Cohn,382–388. Cambridge: MIT Press.Bishop, Y.M.M., Fienberg, S.E. and Holland, P.W. (1975). DiscreteMultivariate <strong>Analysis</strong>: Theory and Practice. Cambridge: MIT Press.Blackith, R.E. and Reyment, R.A. (1971). Multivariate Morphometrics.London: Academic Press.Bloomfield, P. (1974). Linear transformations for multivariate binary data.Biometrics, 30, 609–617.Bloomfield, P. and Davis, J.M. (1994). Orthogonal rotation of complexprincipal components. Int. J. Climatol., 14, 759–775.Böhning, D. (1999). Computer-Assisted <strong>Analysis</strong> of Mixtures and ApplicationsMeta-analysis, Disease Mapping and Others. Boca Raton:Chapman and Hall/CRC.

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