Comparing Distributions
Format: Print Book
ISBN: 9780387927091
Tax included.
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
