Multiple Comparisons Using Rank Sums

19644,266 citationsJournal Article

Authors

Olive Jean Dunn · University of California, Los Angeles

Abstract

This paper considers the use of rank sums from a combined ranking of k independent samples in order to decide which populations differ. Such a procedure is suggested as a convenient alternative to making separate rankings for each pair of samples, and the two methods are compared. Asymptotic use of the normal tables is given and the treatment of ties is discussed. A numerical example is given.

Topics & Keywords

Bayesian Modeling and Causal Inference Advanced Statistical Methods and Models Data Management and Algorithms

Publication Details

Published in: Technometrics

Volume 6, Issue 3, pp. 241-252

DOI: 10.1080/00401706.1964.10490181

Field-Weighted Citation Impact: 21.87

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Multiple Comparisons Using Rank Sums

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Publication Details