# Kendall Tau Correlation

## #Statistics #Correlation

## Definition

- two series of data: $X$ and $Y$
- cooccurance of them: $(x_i, x_j)$, and we assume that $i<j$
- concordant: $x_i < x_j$ and $y_i < y_j$; $x_i > x_j$ and $y_i > y_j$; denoted as $C$
- discordant: $x_i < x_j$ and $y_i > y_j$; $x_i > x_j$ and $y_i < y_j$; denoted as $D$
- neither concordant nor discordant: whenever equal sign happens

Kendall’s tau is defined as

$$ \begin{equation} \tau = \frac{C- D}{\text{all possible pairs of comparison}} = \frac{C- D}{n^2/2 - n/2} \end{equation} $$

Published:
by Lei Ma;

Lei Ma (2019). 'Kendall Tau Correlation', Datumorphism, 07 April. Available at: https://datumorphism.leima.is/cards/statistics/kendall-correlation-coefficient/.

## Table of Contents

**Current Ref:**

- cards/statistics/kendall-correlation-coefficient.md