Titlebook: Comparing Distributions; Olivier Thas Book 2010 Springer-Verlag New York 2010 data analysis.goodness-of-fit tests.graphical methods.nonpar

Statins

Introduction still often applied. It also often serves as a cornerstone in the construction of other goodness-offit tests. We give an overview of the most important issues in applying the Pearson test in Section 1.3. Moreover, many of the more recent methods still rely on the intuition of this test.

簡略

Regurgitation

Graphical Toolsility plots (PP and QQ) and comparison distributions are the topics of Sections 3.2 and 3.3, respectively. Both types of plots are related to very important goodness-of-fit tests, and we therefore spend quite some space on these methods

infinite

耕種

Neutropenia

Social Policy and the Politics of DevolutionSection 9.3, in which we again consider the Wilcoxon test as an example. The same reasoning is applied in Section 9.5, where we discuss some of the nonparametric tests for detecting differences in scale. Section 9.6 focusses on the Kruskal–Wallis test for the .-sample problem, and we conclude this chapter with an introduction to adaptive tests.

conquer

Some Important Two-Sample TestsSection 9.3, in which we again consider the Wilcoxon test as an example. The same reasoning is applied in Section 9.5, where we discuss some of the nonparametric tests for detecting differences in scale. Section 9.6 focusses on the Kruskal–Wallis test for the .-sample problem, and we conclude this chapter with an introduction to adaptive tests.

飛行員

Conscientious

Introductionped for the former can be easily adapted to the latter. We indeed show that many names of tests come back (e.g., the Kolmogorov–Smirnov and the Anderson–Darling tests). It also further implies that many of the building blocks of Chapter 2 are useful again.

安定

0172-7397 er includes only formal statistical hypothesis tests for the one-sample and the .K.-sample problems, this book presents a more .general. and .informative. treatment by also considering graphical and estimation methods. A procedure is said to be informative when it provides information on the reason