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

References 439Kazi-Aoual, F., Sabatier, R. and Lebreton, J.-D. (1995). Approximationof permutation tests for multivariate inference—application to speciesenvironment relationships. In Data Science and Its Application, eds. Y.Escoufier, B. Fichet, E. Diday, L. Lebart, C. Hayashi, N. Ohsumi and Y.Baba, 51–62. Tokyo: Academic Press.Kazmierczak, J.B. (1985). Analyse logarithmique deux exemples d’application.Rev. Statistique Appliquée, 33, 13–24.Kendall, D.G. (1984). Shape-manifolds, procrustean matrices and complexprojective spaces. Bull. Lond. Math. Soc., 16, 81–121.Kendall, M.G. (1957). A Course in Multivariate Analysis. London: Griffin.Kendall, M.G. (1966). Discrimination and classification. In MultivariateAnalysis, ed. P. R. Krishnaiah, 165–185. New York: Academic Press.Kendall, M.G. and Stuart, A. (1979). The Advanced Theory of Statistics,Vol. 2, 4th edition. London: Griffin.Kent, J.T. (1994). The complex Bingham distribution and shape analysis.J. R. Statist. Soc. B, 56, 285–299.Keramidas, E.M., Devlin, S.J. and Gnanadesikan, R. (1987). A graphicalprocedure for comparing the principal components of several covariancematrices. Commun. Statist.-Simul., 16, 161–191.Kiers, H.A.L. (1993). A comparison of techniques for finding componentswith simple structure. In Multivariate Analysis: Future Directions 2, eds.C.M. Cuadras and C.R. Rao, 67–86. Amsterdam: North-Holland.Kim, K.-Y. and Wu, Q. (1999). A comparison study of EOF techniques:analysis of nonstationary data with periodic statistics. J. Climate, 12,185–199.King, J.R. and Jackson, D.A. (1999). Variable selection in large environmentaldata sets using principal components analysis. Environmetrics,10, 67–77.Klink K. and Willmott, C.J. (1989). Principal components of the surfacewind field in the United States: A comparison of analyses based uponwind velocity, direction, and speed. Int. J. Climatol., 9, 293–308.Kloek, T. and Mennes, L.B.M. (1960). Simultaneous equations estimationbased on principal components of predetermined variables.Econometrica, 28, 45–61.Kneip, A. (1994). Nonparametric estimation of common regressors forsimilar curve data. Ann. Statist., 22, 1386–1427.Kneip, A. and Utikal, K.J. (2001). Inference for density families usingfunctional principal component analysis. J. Amer. Statist. Assoc., 96,519–542 (including discussion).Konishi, S. and Rao, C.R. (1992). Principal component analysis formultivariate familial data. Biometrika, 79, 631–641.Kooperberg, C. and O’Sullivan, F. (1994). The use of a statistical forecastcriterion to evaluate alternative empirical spatial oscillation patterndecomposition methods in climatological fields. Technical report 276,Department of Statistics, University of Washington, Seattle.