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The authors present tools and concepts of multivariate data
analysis by means of exercises and their solutions. The first part
is devoted to graphical techniques. The second part deals with
multivariate random variables and presents the derivation of
estimators and tests for various practical situations. The last
part introduces a wide variety of exercises in applied multivariate
data analysis. The book demonstrates the application of simple
calculus and basic multivariate methods in real life situations. It
contains altogether more than 250 solved exercises which can assist
a university teacher in setting up a modern multivariate analysis
course. All computer-based exercises are available in the R
language. All data sets are included in the library SMSdata that
may be downloaded via the quantlet download center
www.quantlet.org. Data sets are available also via the Springer
webpage. For interactive display of low-dimensional projections of
a multivariate data set, we recommend GGobi.
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