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Applied Multivariate Statistical Analysis - UFPR

Applied MultivariateStatistical Analysis Wolfgang H ardleL eopold Simar Version: 29th April 2003 ContentsIDescriptive Techniques111 Comparison of Boxplots.. Histograms.. Kernel Densities.. Scatterplots.. Chernoff-Flury Faces.. Andrews Curves.. Parallel Coordinates Plots.. Boston Housing.. Exercises..52II Multivariate Random Variables552 A Short Excursion into Matrix Elementary Operations.. Spectral Decompositions.. Quadratic Forms.. Derivatives.. Partitioned Matrices.. Geometrical Aspects.. Exercises..793 Moving to Higher Covariance.. Correlation.. Summary Statistics.. Linear Model for Two Variables.. Simple Analysis of Variance.. Multiple Linear Model.. Boston Housing.. Exercises..1154 Multivariate Distribution and Density Function.. Moments and Characteristic Functions.

cluster analysis deals with the various cluster techniques and leads naturally to the problem of discrimination analysis. The next chapter deals with the detection of correspondence between factors. The joint structure of data sets is presented in the chapter on canonical

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