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Computational Statistics: Volume 1: Proceedings of the 10th Symposium on ...
Yadolah Dodge,Joe Whittaker
No preview available - 2013
algorithm applications approach approximation assertion object associated assumed Bayesian binary Boolean classification clustering coefficients column COMPSTAT computation configurations considered correlation corresponding covariance matrix criterion cross-validated data analysis data set decision tree defined denote density depends dimension reduction dimensional discriminant analysis distance eigenvalues EISPACK entropy equations error estimate example Figure forecasts Fortran gaussian generalised Procrustes given GLIM graph graphical regression groups HSELM influence function isotropic scaling iteration LAPACK least squares linear discriminant analysis LINPACK machine learning Mahalanobis distance mean measure methods misclassification multivariate mutant node observations obtained optimal ordinal principal component outliers partition plot points possible pre-scaling prediction predictor principal component analysis probability problem Procrustes analysis random variable rank RDAC RDAF RECPAM residuals robust score selected simulation statistical step structure subset symbolic objects Table techniques tree variance vector