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| Correlazione di Pearson robusta× | Coefficiente di correlazione di Pearson (r)× | |
|---|---|---|
| Campo | Statistica | Statistica |
| Famiglia | Hypothesis test | Hypothesis test |
| Anno di origine≠ | 1970s–1990s | 1895 |
| Ideatore≠ | Rand R. Wilcox and predecessors in robust statistics | Karl Pearson |
| Tipo≠ | Robust bivariate association measure | Parametric correlation |
| Fonte seminale≠ | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 | Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. DOI ↗ |
| Alias | winsorized correlation, percentage bend correlation, robust r, outlier-resistant correlation | pearson r, product-moment correlation, bivariate correlation, Pearson Korelasyon Analizi |
| Correlati≠ | 3 | 4 |
| Sintesi≠ | The robust Pearson correlation is an outlier-resistant measure of linear association between two continuous variables. By applying Winsorizing, trimming, or percentage-bend transformations before computing the classic Pearson r, it retains the interpretability of a correlation coefficient while dramatically reducing the distortion caused by extreme values. | 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. |
| ScholarGateInsieme di dati ↗ |
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