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

446 ReferencesNaik, D.N. and Khattree, R. (1996). Revisiting Olympic track records:Some practical considerations in the principal component analysis. Amer.Statistician, 50, 140–144.Nash, J.C. and Lefkovitch, L.P. (1976). Principal components and regressionby singular value decomposition on a small computer. Appl. Statist.,25, 210–216.Nel, D.G. and Pienaar, I. (1998). The decomposition of the Behrens-Fisherstatistic in q-dimensional common principal common submodels. Ann.Inst. Stat. Math., 50, 241–252.Nelder, J.A. (1985). An alternative interpretation of the singular-valuedecomposition in regression. Amer. Statistician, 39, 63–64.Neuenschwander, B.E. and Flury, B.D. (2000). Common principal componentsfor dependent random vectors. J. Mult. Anal., 75, 163–183.Nomikos, P. and MacGregor, J.F. (1995). Multivariate SPC charts formonitoring batch processes. Technometrics, 37, 41–59.North, G.R., Bell, T.L., Cahalan, R.F. and Moeng, F.J. (1982). Samplingerrors in the estimation of empirical orthogonal functions. Mon. WeatherRev., 110, 699–706.North, G.R. and Wu, Q. (2001). Detecting climate signals using space-timeEOFs. J. Climate, 14, 1839–1863.Obukhov, A.M. (1947). Statistically homogeneous fields on a sphere. Usp.Mat. Nauk., 2, 196–198.Ocaña, F.A., Aguilera, A.M. and Valderrama, M.J. (1999). Functionalprincipal components analysis by choice of norms. J. Mult. Anal., 71,262–276.Ogasawara, H. (2000). Some relationships between factors and components.Psychometrika, 65, 167–185.O’Hagan, A. (1984). Motivating principal components, and a strongeroptimality result. Statistician, 33, 313–315.O’Hagan, A. (1994). Kendall’s Advanced Theory of Statistics. Volume 2BBayesian Inference. London: Arnold.Okamoto, M. (1969). Optimality of principal components. In MultivariateAnalysis II , ed. P. R. Krishnaiah, 673–685. New York: Academic Press.Oman, S.D. (1978). A Bayesian comparison of some estimators used inlinear regression with multicollinear data. Commun. Statist., A7, 517–534.Oman, S.D. (1991). Random calibration with many measurements: Anapplication of Stein estimation. Technometrics, 33, 187–195.Osmond, C. (1985). Biplot models applied to cancer mortality rates. Appl.Statist., 34, 63–70.Ottestad, P. (1975). Component analysis: An alternative system. Int. Stat.Rev., 43, 83–107.Overland, J.E. and Preisendorfer, R.W. (1982). A significance test for principalcomponents applied to a cyclone climatology. Mon. Weather Rev.,110, 1–4.