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

References 443Mann, M.E. and Park, J. (1999). Oscillatory spatiotemporal signal detectionin climate studies: A multi-taper spectral domain approach. Adv.Geophys., 41, 1–131.Mansfield, E.R., Webster, J.T. and Gunst, R.F. (1977). An analytic variableselection technique for principal component regression. Appl. Statist., 26,34–40.Mardia, K.V., Coombes, A., Kirkbride, J., Linney, A. and Bowie, J.L.(1996). On statistical problems with face identification from photographs.J. Appl. Statist., 23, 655–675.Mardia, K.V., Kent, J.T. and Bibby, J.M. (1979). Multivariate Analysis.London: Academic Press.Maronna, R.A. (1976). Robust M-estimators of multivariate location andscatter. Ann. Statist., 4, 51–67.Maronna, R.A. and Yohai, V.J. (1998). Robust estimation of multivariatelocation and scatter. In Encyclopedia of Statistical Sciences, Update 2,eds. S. Kotz, C.B. Read and D.L. Banks, 589–596. New York: Wiley.Marquardt, D.W. (1970). Generalized inverses, ridge regression, biasedlinear estimation, and nonlinear estimation. Technometrics, 12, 591–612.Martens, H. and Naes, T. (1989). Multivariate Calibration. New York:Wiley.Martin, E.B. and Morris, A.J. (1996). Non-parametric confidence boundsfor process performance monitoring charts. J. Proc. Cont., 6, 349–358.Martin, E.B., Morris, A.J. and Kiparissides, C. (1999). Manufacturing performanceenhancement through multivariate statistical process control.Ann. Rev. Cont., 23, 35-44.Martin, J.-F. (1988). On probability coding. In Component and CorrespondenceAnalysis. Dimension Reduction by Functional Approximation, eds.J.L.A. van Rijckevorsel and J. de Leeuw, 103–114. Chichester: Wiley.Marx, B.D. and Smith, E.P. (1990). Principal component estimation forgeneralized linear regression. Biometrika, 77, 23–31.Maryon, R.H. (1979). Eigenanalysis of the Northern Hemispherical 15-daymean surface pressure field and its application to long-range forecasting.Met O 13 Branch Memorandum No. 82 (unpublished). UKMeteorological Office, Bracknell.Mason, R.L. and Gunst, R.F. (1985). Selecting principal components inregression. Stat. Prob. Lett., 3, 299–301.Massy, W.F. (1965). Principal components regression in exploratorystatistical research. J. Amer. Statist. Assoc., 60, 234–256.Matthews, J.N.S. (1984). Robust methods in the assessment of multivariatenormality. Appl. Statist., 33, 272–277.Maurin, M. (1987). A propos des changements de métriques en ACP. FifthInternational Symposium: Data Analysis and Informatics, Posters, 15–18.Maxwell, A.E. (1977). Multivariate Analysis in Behavioural Research.London: Chapman and Hall.