This textbook presents the tools and concepts used in multivariate data
analysis in a style accessible for non-mathematicians and practitioners.
All chapters include practical exercises that highlight applications in
different multivariate data analysis fields, and all the examples
involve high to ultra-high dimensions and represent a number of major
fields in big data analysis.
For this new edition, the book has been updated and extensively revised
and now includes an extended chapter on cluster analysis. All solutions
to the exercises are supplemented by R and MATLAB or SAS computer code
and can be downloaded from the Quantlet platform. Practical exercises
from this book and their solutions can also be found in the accompanying
Springer book by W.K. Härdle and Z. Hlávka: Multivariate Statistics -
Exercises and Solutions.
The Quantlet platform, quantlet.de, quantlet.com, quantlet.org, is an
integrated QuantNet environment consisting of different types of
statistics-related documents and program codes. Its goal is to promote
reproducibility and offer a platform for sharing validated knowledge
native to the social web. QuantNet and the corresponding data-driven
document-based visualization allow readers to reproduce the tables,
pictures and calculations presented in this Springer book.
