| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 417341 | Computational Statistics & Data Analysis | 2007 | 4 Pages |
Abstract
Correlation is an important and widely used concept, and it is usually taught through word explanation or graphic description accompanied with a numeric measure if such a measure exists. In this note, we explore graphing one of the commonly used correlation measures, Kendall's ττ, in such a way that we display how Kendall's ττ is calculated and see how Kendall's ττ is influenced by data features.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Matthew K. Davis, Gemai Chen,