Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 809

The DOI matches its Crossref record.

THE TREATMENT OF TIES IN RANKING PROBLEMS

KENDALL, M. G.·1945·Biometrika

Abstract

1. When a number of objects are presented for ranking by an observer there sometimes arise cases in which he is unable to express a preference in regard to certain of them and ' ranks them equal ' or regards them as ' tying'. The effect may arise either because the objects really are indistinguishable, so far as the quality under consideration is concerned, or because the observer is unable to discern such differences as exist. Ties of this character are by no means uncommon—and indeed may be more the rule than the exception in some classes of work—and it is desirable to have a systematic method of dealing with them. In this paper I consider the effect of ties on coefficients of rank correlation, the estimation of rankings and the measurement of concordance in judges. RANK CORRELATIONS 2. The method of allocating ranking numbers to tied individuals in general use is to average the ranks which they cover. For instance, if the observer ties the third and fourth members each is allotted the number 3£, and if he ties the second to the seventh inclusive, each is allotted the number £(2 + 3 + 4+5 + 6+7) = 4$. This is known as the mid-rank method and is the only one I shall consider. In fact I have seen only two other courses

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/biomet/33.3.239

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

Metadata

Authors
KENDALL, M. G.
Venue
Biometrika
Published
1945
Volume
33
Issue
3
Pages
239-251
ISSN
  • 0006-3444 (ISSN-L)
  • 1464-3510
OpenAlex
W1979354511
Cited by
809
References
0
FWCI
11.06
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

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.