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Monotonic function and Spearman's rank correlation coefficient

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

Difference between Monotonic function and Spearman's rank correlation coefficient

Monotonic function vs. Spearman's rank correlation coefficient

In mathematics, a monotonic function (or monotone function) is a function between ordered sets that preserves or reverses the given order. 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).

Similarities between Monotonic function and Spearman's rank correlation coefficient

Monotonic function and Spearman's rank correlation coefficient have 0 things in common (in Unionpedia).

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Monotonic function and Spearman's rank correlation coefficient Comparison

Monotonic function has 66 relations, while Spearman's rank correlation coefficient has 35. As they have in common 0, the Jaccard index is 0.00% = 0 / (66 + 35).

References

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

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