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Kendall rank correlation coefficient and Kendall's W

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Kendall rank correlation coefficient and Kendall's W

Kendall rank correlation coefficient vs. Kendall's W

In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's tau coefficient (after the Greek letter τ), is a statistic used to measure the ordinal association between two measured quantities. Kendall's W (also known as Kendall's coefficient of concordance) is a non-parametric statistic.

Similarities between Kendall rank correlation coefficient and Kendall's W

Kendall rank correlation coefficient and Kendall's W have 5 things in common (in Unionpedia): Maurice Kendall, Nonparametric statistics, Normal distribution, Spearman's rank correlation coefficient, Statistical hypothesis testing.

Maurice Kendall

Sir Maurice George Kendall, FBA (6 September 1907 – 29 March 1983) was a British statistician, widely known for his contribution to statistics.

Kendall rank correlation coefficient and Maurice Kendall · Kendall's W and Maurice Kendall · See more »

Nonparametric statistics

Nonparametric statistics is the branch of statistics that is not based solely on parameterized families of probability distributions (common examples of parameters are the mean and variance).

Kendall rank correlation coefficient and Nonparametric statistics · Kendall's W and Nonparametric statistics · See more »

Normal distribution

In probability theory, the normal (or Gaussian or Gauss or Laplace–Gauss) distribution is a very common continuous probability distribution.

Kendall rank correlation coefficient and Normal distribution · Kendall's W and Normal distribution · See more »

Spearman's rank correlation coefficient

In statistics, Spearman's rank correlation coefficient or Spearman's rho, named after Charles Spearman and often denoted by the Greek letter \rho (rho) or as r_s, is a nonparametric measure of rank correlation (statistical dependence between the rankings of two variables).

Kendall rank correlation coefficient and Spearman's rank correlation coefficient · Kendall's W and Spearman's rank correlation coefficient · See more »

Statistical hypothesis testing

A statistical hypothesis, sometimes called confirmatory data analysis, is a hypothesis that is testable on the basis of observing a process that is modeled via a set of random variables.

Kendall rank correlation coefficient and Statistical hypothesis testing · Kendall's W and Statistical hypothesis testing · See more »

The list above answers the following questions

Kendall rank correlation coefficient and Kendall's W Comparison

Kendall rank correlation coefficient has 29 relations, while Kendall's W has 12. As they have in common 5, the Jaccard index is 12.20% = 5 / (29 + 12).

References

This article shows the relationship between Kendall rank correlation coefficient and Kendall's W. To access each article from which the information was extracted, please visit:

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