Artikel

Ranks and Pseudo‐ranks—Surprising Results of Certain Rank Tests in Unbalanced Designs

Rank-based inference methods are applied in various disciplines, typically when procedures relying on standard normal theory are not justifiable. Various specific rank-based methods have been developed for two and more samples and also for general factorial designs (e.g. Kruskal–Wallis test or Akritas–Arnold–Brunner test). It is the aim of the present paper (1) to demonstrate that traditional rank procedures for several samples or general factorial designs may lead to surprising results in case of unequal sample sizes as compared with equal sample sizes, (2) to explain why this is the case and (3) to provide a way to overcome these disadvantages. Theoretical investigations show that the surprising results can be explained by considering the non-centralities of the test statistics, which may be non-zero for the usual rank-based procedures in case of unequal sample sizes, while they may be equal to 0 in case of equal sample sizes. A simple solution is to consider unweighted relative effects instead of weighted relative effects. The former effects are estimated by means of the so-called pseudo-ranks, while the usual ranks naturally lead to the latter effects. A real data example illustrates the practical meaning of the theoretical discussions.

Language
Englisch

Bibliographic citation
Journal: International Statistical Review ; ISSN: 1751-5823 ; Volume: 89 ; Year: 2021 ; Issue: 2 ; Pages: 349-366 ; Hoboken, NJ: Wiley

Subject
Rank statistic
pseudo‐rank statistic
Kruskal–Wallis test
Hettmansperger–Norton test
Akritas–Arnold–Brunner test
unweighted relative effect
weighted relative effect

Event
Geistige Schöpfung
(who)
Brunner, Edgar
Konietschke, Frank
Bathke, Arne C.
Pauly, Markus
Event
Veröffentlichung
(who)
Wiley
(where)
Hoboken, NJ
(when)
2021

DOI
doi:10.1111/insr.12418
Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Brunner, Edgar
  • Konietschke, Frank
  • Bathke, Arne C.
  • Pauly, Markus
  • Wiley

Time of origin

  • 2021

Other Objects (12)