This textbook provides a self-contained presentation of the main
concepts and methods of nonparametric statistical testing, with a
particular focus on the theoretical foundations of goodness-of-fit
tests, rank tests, resampling tests, and projection tests. The
substitution principle is employed as a unified approach to the
nonparametric test problems discussed. In addition to mathematical
theory, it also includes numerous examples and computer implementations.
The book is intended for advanced undergraduate, graduate, and postdoc
students as well as young researchers. Readers should be familiar with
the basic concepts of mathematical statistics typically covered in
introductory statistics courses.