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

References 457regularities in multivariate data. In Food Research and Data Analysis,eds. H. Martens and H. Russwurm, 147–188. London: Applied SciencePublishers.Worton, B.J. (1984). Statistical Aspects of Data Collected in Year 1974–1975 of the Irish Wetlands Enquiry. Unpublished M.Sc. dissertation.University of Kent at Canterbury.Wu, D.-H., Anderson, D.L.T. and Davey, M.K. (1994). ENSO predictionexperiments using a simple ocean-atmosphere model. Tellus,A.Dynam.Meteorol. Oceanog., 46, 465–480.Xie, Y.-L., Wang, J.-H., Liang, Y.-Z., Sun, L.-X., Song, X-H. and Yu, R-Q.(1993). Robust principal component analysis by projection pursuit. J.Chemometrics, 7, 527–541.Xu, L. and Yuille, A. (1995). Robust principal component analysis byself-organizing rules based on statistical physics approach. IEEE Trans.Neural Networks, 6, 131–143.Yanai, H. (1980). A proposition of generalized method for forward selectionof variables. Behaviormetrika, 7, 95–107.Yendle, P.W. and MacFie, H.J.H. (1989). Discriminant principal componentsanalysis. J. Chemometrics, 3, 589–600.Young, G. (1941). Maximum likelihood estimation and factor analysis.Psychometrika, 6, 49–53.Yuan, K.-H. and Bentler, P.M. (1994). Test of linear trend in eigenvaluesof K covariance matrices with applications in common principalcomponents analysis. Commun. Stat.—Theor. Meth., 23, 3141–3156.Yule, W., Berger, M., Butler, S., Newham, V. and Tizard, J. (1969). TheWPPSL. An empirical evaluation with a British sample. Brit. J. Educ.Psychol., 39, 1–13.Zheng, X., Frederiksen, C.S. and Basher, R.E. (2002). EOFs of the potentiallypredictable and weather noise components of seasonal mean fields.Part 1 Methodology. Submitted for publication.Zwick, W.R. and Velicer, W.F. (1986). Comparison of five rules for determiningthe number of components to retain. Psychol. Bull., 99,432–446.Zwiers, F.W. (1999). The detection of climate change. In AnthropogenicClimate Change, eds. H. von Storch and G. Flöser, 161–206. Berlin:Springer.