The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Rank Sum Test for Comparing All Pairs of Treatments
Abstract
A multiple comparison rank sum test, for the simultaneous comparison of all pairs of treatments in a one-way classification with equal numbers of observations, is presented. An example is worked and tables of critical values are given. Computation of probabilities for the general case of unequal numbers of observations is considered and means, variances, and covariances are given for this case.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Individual Comparisons by Ranking Methods
Wilcoxon, F. (1945) · Biometrics Bulletin · doi:10.2307/3001968 · Cited by 15,354
Use of Ranks in One-Criterion Variance Analysis
Kruskal, W. H., & Wallis, W. A. (1952) · Journal of the American Statistical Association · doi:10.1080/01621459.1952.10483441 · Cited by 13,912
Cited by
Large-sample multiple comparisons.
Marascuilo, L. A. (1966) · Psychological Bulletin · doi:10.1037/h0023189 · Cited by 332
Site-Specific Gene Editing of Human Hematopoietic Stem Cells for X-Linked Hyper-IgM Syndrome
Kuo, C. Y., Long, J. D., Campo-Fernandez, B., de Oliveira, S., Cooper, A. R., Romero, Z., Hoban, M. D., Joglekar, A. V., Lill, G. R., Kaufman, M. L., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.04.103 · Cited by 139
Metadata
- Authors
- Steel, R. G. D.
- Venue
- Technometrics
- Publisher
- Informa UK Limited
- Published
- 1960-05
- Volume
- 2
- Issue
- 2
- Pages
- 197-207
- ISSN
- 0040-1706 (ISSN-L)
- 1537-2723
- OpenAlex
- W2080838408
- Cited by
- 316
- References
- 2
- FWCI
- 2.81
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Rank Sum Test for Comparing All Pairs of Treatments. https://app.cochat.ai/papers/10.1080/00401706.1960.10489894
- The paper
- Steel, R. G. D. (1960). A Rank Sum Test for Comparing All Pairs of Treatments. Technometrics. https://doi.org/10.1080/00401706.1960.10489894
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
