Most of the observable phenomena in the empirical sciences are of a multivariate nature.
In financial studies, assets in stock markets are observed simultaneously and their joint
development is analyzed to better understand general tendencies and to track indices. In
medicine recorded observations of subjects in different locations are the basis of reliable
diagnoses and medication. In quantitative marketing consumer preferences are collected in
order to construct models of consumer behavior. The underlying theoretical structure of
these and many other quantitative studies of applied sciences is multivariate. This book
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
for non-mathematicians and practitioners who are confronted by statistical data analysis.
This is achieved by focusing on the practical relevance and through the e-book character of
this text. All practical examples may be recalculated and modified by the reader using a
standard web browser and without reference or application of any specific software.