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.
General
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