Provides a self-contained comprehensive treatment of both one-sample and K-sample goodness-of-fit methods by linking them to a common theory backbone
Contains many data examples, including R-code and a specific R-package for comparing distributions
Emphesises informative statistical analysis rather than plain statistical hypothesis testing