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Can I read Graphing Kendall's on EtoBox?
Graphing Kendall's by Matthew K. Davis; Gemai Chen is a Mathematics article available to read on EtoBox.
What is Graphing Kendall's about?
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 , in such a way that we display how Kendall's is calculated and see how Kendall's is influenced by data features.
Who reads Graphing Kendall's?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- Matthew K. Davis; Gemai Chen
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0167-9473)
- Published
- 2007
- Language
- EN
- Field
- Mathematics (Physical Sciences)