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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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444 ReferencesMcCabe, G.P. (1982). <strong>Principal</strong> variables. Technical Report No. 82–3,Department of Statistics, Purdue University.McCabe, G.P. (1984). <strong>Principal</strong> variables. Technometrics, 26, 137–144.McCabe, G.P. (1986). Prediction of principal components by variable subsets.Unpublished Technical Report, 86-19, Department of Statistics,Purdue University.McGinnis, D.L. (2000). Synoptic controls on upper Colorado River Basinsnowfall. Int. J. Climatol., 20, 131–149.McLachlan, G.J. (1992). Discriminant <strong>Analysis</strong> and Statistical PatternRecognition. New York: Wiley.McLachlan, G.J. and Bashford, K.E. (1988) Mixture Models. Inference andApplications to Clustering. New York: Marcel Dekker.McReynolds, W.O. (1970). Characterization of some liquid phases. J.Chromatogr. Sci., 8, 685–691.Mehrotra, D.V. (1995). Robust elementwise estimation of a dispersionmatrix. Biometrics, 51, 1344–1351.Meredith, W. and Millsap, R.E. (1985). On component analysis. Psychometrika,50, 495–507.Mertens, B.J.A. (1998). Exact principal component influence measures appliedto the analysis of spectroscopic data on rice. Appl. Statist., 47,527–542.Mertens, B., Fearn, T. and Thompson, M. (1995). The efficient crossvalidationof principal components applied to principal componentregression. Statist. Comput., 5, 227–235.Mertens, B., Thompson, M. and Fearn, T. (1994). <strong>Principal</strong> componentoutlier detection and SIMCA: A synthesis. Analyst, 119, 2777–2784.Mestas-Nuñez, A.M. (2000). Orthogonality properties of rotated empiricalmodes. Int. J. Climatol., 20, 1509–1516.Meulman, J. (1986). A Distance Approach to Nonlinear Multivariate<strong>Analysis</strong>. Leiden: DSWO Press.Michailidis, G. and de Leeuw, J. (1998). The Gifi system of descriptivemultivariate analysis. Statist. Sci., 13, 307–336.Milan, L. and Whittaker, J. (1995). Application of the parametric bootstrapto models that incorporate a singular value decomposition. Appl. Statist.,44, 31–49.Miller, A.J. (1984). Selection of subsets of regression variables (withdiscussion). J. R. Statist. Soc. A, 147, 389–425.Miller, A.J. (1990). Subset Selection in Regression. London: Chapman andHall.Milliken, G.A. and Johnson, D.E. (1989). <strong>Analysis</strong> of Messy Data Vol. 2:Nonreplicated Experiments. New York: Van Nostrand-Reinhold.Monahan, A.H. (2001). Nonlinear principal component analysis: TropicalIndo-Pacific sea surface temperature and sea level pressure. J. Climate,14, 219–233.

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