Comparing Distributions

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

Publication Year: 2010
Imprint: Springer New York
Format: H
Weight (Gram): 1550