This textbook on computational statistics presents tools and concepts of univariate and
multivariate statistical data analysis with a strong focus on applications and implementations
in the statistical software R. It covers mathematical statistical as well as programming
problems in computational statistics and contains a wide variety of practical examples. In
addition to the numerous R sniplets presented in the text all computer programs (quantlets)
and data sets to the book are available on GitHub and referred to in the book. This enables the
reader to fully reproduce as well as modify and adjust all examples to their needs. The book is
intended for advanced undergraduate and first-year graduate students as well as for data
analysts new to the job who would like a tour of the various statistical tools in a data
analysis workshop. The experienced reader with a good knowledge of statistics and programming
might skip some sections on univariate models and enjoy the various mathematical roots of
multivariate techniques. 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
Documents-based visualization allows readers to reproduce the tables pictures and calculations
inside this Springer book.
