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Graphing Kendall's

Authors :
Gemai Chen
Matthew K. Davis
Source :
Computational Statistics & Data Analysis. 51:2375-2378
Publication Year :
2007
Publisher :
Elsevier BV, 2007.

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 @t, in such a way that we display how Kendall's @t is calculated and see how Kendall's @t is influenced by data features.

Details

ISSN :
01679473
Volume :
51
Database :
OpenAIRE
Journal :
Computational Statistics & Data Analysis
Accession number :
edsair.doi...........596ccd75ec9ead094f9936a53e11a5d6