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

References 441Krzanowski, W.J. (2000). Principles of Multivariate Analysis: A User’sPerspective, 2nd edition. Oxford: Oxford University Press.Krzanowski, W.J., Jonathan, P., McCarthy, W.V. and Thomas, M.R.(1995). Discriminant analysis with singular covariance matrices: Methodsand applications to spectroscopic data. Appl. Statist., 44, 101–115.Krzanowski, W.J. and Kline, P. (1995). Cross-validation for choosing thenumber of important components in principal component analysis. Mult.Behav. Res., 30, 149–166.Krzanowski, W.J. and Marriott, F.H.C. (1994). Multivariate Analysis, Part1. Distributions, Ordination and Inference. London: Arnold.Kshirsagar, A.M., Kocherlakota, S. and Kocherlakota, K. (1990). Classificationprocedures using principal component analysis and stepwisediscriminant function. Commun. Statist.—Theor. Meth., 19, 92–109.Kuhfeld, W.F. (1990). Comment on Dawkins (1989). Amer. Statistician,44, 58–59.Kung, E.C. and Sharif, T.A. (1980). Multi-regression forecasting of theIndian summer monsoon with antecedent patterns of the large-scale circulation.WMO Symposium on Probabilistic and Statistical Methods inWeather Forecasting, 295–302.Lafosse, R. and Hanafi, M. (1997). Concordance d’un tableau aveck tableaux: Définition de k + 1 uples synthétiques. Rev. StatistiqueAppliquée, 45, 111-136.Lane, S., Martin, E.B., Kooijmans, R. and Morris, A.J. (2001). Performancemonitoring of a multi-product semi-batch process. J. Proc. Cont., 11,1–11.Lang, P.M., Brenchley, J.M., Nieves, R.G. and Halivas, J.H. (1998). Cyclicsubspace regression. J. Mult. Anal., 65, 58–70.Lanterman, A.D. (2000). Bayesian inference of thermodynamic state incorporatingSchwarz-Rissanen complexity for infrared target recognition.Optical Engng., 39, 1282–1292.Läuter, J. (1996). Exact t and F tests for analyzing studies with multipleendpoints. Biometrics, 52, 964–970.Lawley, D.N. (1963). On testing a set of correlation coefficients for equality.Ann. Math. Statist., 34, 149–151.Lawley, D.N. and Maxwell, A.E. (1971). Factor Analysis as a StatisticalMethod, 2nd edition. London: Butterworth.Lawson, C.L. and Hanson, R.J. (1974). Solving Least Squares Problems.Englewood Cliffs, NJ: Prentice-Hall.Leamer, E.E. and Chamberlain, G. (1976). A Bayesian interpretation ofpretesting. J. R. Statist. Soc. B, 38, 85–94.Lebart, L., Morineau, A. and Fénelon, J.-P. (1982). Traitement des DonnéesStatistique. Paris: Dunod.Lee, T.-W. (1998). Independent Component Analysis. Theory and Applications.Boston: Kluwer.