What people are saying - Write a review
We haven't found any reviews in the usual places.
Mathematical and Statistical Properties of Population Principal
13 other sections not shown
Other editions - View all
approximation assumption biplot Chapter cluster analysis coefficients columns Contrasts correlation matrix correspondence analysis covariance matrix covariance or correlation criterion cut-off data set defined deleted derived described dimensionality discriminant analysis discussed in Section eigenvalues eigenvectors equal equation equivalent estimates Euclidean distance example factor analysis factor model fcth Figure four PCs give given interpretation ith observation Jolliffe Krzanowski last few PCs linear functions Mahalanobis distance maximized measurements methods minimized multicollinearities multivariate normal distribution multivariate normality n x p original variables orthogonal outliers p-dimensional PC regression PCs account plot population possible predictor variables principal co-ordinate analysis Principal Component Analysis procedure q PCs relationships respectively retained rotation sample covariance sample PCs scree graph second PC similar singular value decomposition statistical structure sum of squared Table techniques three PCs tion total variation two-dimensional uncorrelated values variable selection variances vector zero