Comparing Distributions, 2010 Springer Series in Statistics Series

One-Sample Problems.- Preliminaries (Building Blocks).- Graphical Tools.- Smooth Tests.- Methods Based on the Empirical Distribution Function.- Two-Sample and K-Sample Problems.- Preliminaries (Building Blocks).- Graphical Tools.- Some Important Two-Sample Tests.- Smooth Tests.- Methods Based on the Empirical Distribution Function.- Two Final Methods and Some Final Thoughts.

From the reviews:'Comparing distributions means mainly goodness-of-fit testing. ... lot of details are cited from the huge reference list, which I like very much. ... At the end of the sections some practical guidelines are given which are very helpful. The monograph is of interest for applied statisticians as well as for research mathematicians. It contains good overview of tests and methods. It can be recommended for advanced seminars on testing. ... I can warmly recommend it.' (Arnold Janssen, Mathematical Reviews, Issue 2010 k)'This outstanding book is about goodness of fit (GOF) testing ... . In addition the book presents some graphical tools for comparing distributions with its focus on graphs that are closely related to statistical tests. ... The book contains some theory with numerous examples that are useful for both applied statisticians and nonstatistician practitioners. ... In conclusion this book provides considerable information for wide range of Technometrics readers and it is valuable contribution to our profession.' (Subir Ghosh, Technometrics, Vol. 53 (1), February, 2011)