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| Correlazione di rango Tau di Kendall× | Coefficiente di correlazione di Pearson (r)× | |
|---|---|---|
| Campo | Statistica | Statistica |
| Famiglia | Hypothesis test | Hypothesis test |
| Anno di origine≠ | 1938 | 1895 |
| Ideatore≠ | Maurice G. Kendall | Karl Pearson |
| Tipo≠ | Nonparametric rank correlation | Parametric correlation |
| Fonte seminale≠ | Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1/2), 81–93. DOI ↗ | Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. DOI ↗ |
| Alias | Kendall tau, Kendall rank correlation, tau-b, tau-c | pearson r, product-moment correlation, bivariate correlation, Pearson Korelasyon Analizi |
| Correlati | 4 | 4 |
| Sintesi≠ | Kendall's tau is a nonparametric measure of the ordinal association between two variables. It quantifies how consistently the relative ordering of one variable matches the ordering of another across all observation pairs, making it robust to outliers and suitable for ordinal or non-normally distributed data. | The Pearson product-moment correlation coefficient (r) is a parametric measure of the direction and strength of the linear association between two continuous variables. Introduced by Karl Pearson in 1895, it remains the most widely used bivariate correlation statistic in the social, health, and natural sciences. The coefficient ranges from −1 (perfect negative linear relationship) to +1 (perfect positive), with 0 indicating no linear association. |
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