Until recently the design of experiments in the behavioral and social sciences that focused
on interaction effects demanded the use of the parametric analysis of variance. Yet …

Nonparametric Statistical Inference Page 1 Non parametric Statistical Inference Page 2
STATISTICS: Textbooks and Monographs DB Owen Founding Editor, 1972-1991 Associate …

A serious objection to many of the classical statistical methods based on linear models or
normality assumptions is their vulnerability to gross errors. For certain testing problems this …

In this paper, we summarize some recent developments in the analysis of nonparametric
models where the classical models of ANOVA are generalized in such a way that not only …

Seit der ersten Auflage im Jahr 1978 ist in der nichtparametrischen Theorie nichts
fundamental Neues zu verzeichnen. Ausnahmen sind vielleicht die nichtparametrischen …

Results of Chernoff-Savage (1958) and Govindarajulu-LeCam-Raghavachari (1966) are
extended from the two-sample case to the general regression case and, simultaneously, the …

The present research compares the ANOVA F-test, the Kruskal-Wallis test, and the normal
scores test in terms of empirical alpha and empirical power with samples from the normal …

We study simultaneous rank procedures for unbalanced designs with independent
observations. The hypotheses are formulated in terms of purely nonparametric treatment …

Distribution-free test procedures are proposed for the k-sample problem, where the
alternatives of interest are of the form F 1 (x)≥···≥ Fℓ (x)≤···≤ Fk (x) for all x, with at least …

Publisher Summary This chapter focuses on pure rank statistics in factorial designs. Pure
rank statistics are invariant under any strict monotone transformation of the data and are …