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Applied Multivariate Statistical Analysis - UFPR

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Applied MultivariateStatistical Analysis Wolfgang H ardleL eopold Simar Version: 29th April 2003ContentsIDescriptive Techniques111 Comparison of Boxplots. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Histograms. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Kernel Densities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Scatterplots. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Chernoff-Flury Faces.

on Applied Multivariate Statistical Analysis presents the tools and concepts of multivariate data analysis with a strong focus on applications. The aim of the book is to present multivariate data analysis in a way that is understandable

  Analysis, Statistical, Applied, Multivariate, Applied multivariate statistical analysis

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