Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Robustā korelācija (Spīrmena, Kendala un bivida)× | Pīrsona momentu korelācijas koeficients× | |
|---|---|---|
| Nozare | Statistika | Statistika |
| Saime≠ | Regression model | Hypothesis test |
| Izcelsmes gads≠ | 2012 | 1895 |
| Autors≠ | Spearman rank, Kendall tau; biweight from Wilcox / Shevlyakov & Oja robust statistics tradition | Karl Pearson |
| Tips≠ | Robust correlation measures | Parametric correlation |
| Pirmavots≠ | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing. Academic Press. ISBN: 978-0123869838 | Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. DOI ↗ |
| Citi nosaukumi≠ | Spearman correlation, Kendall tau, biweight midcorrelation, rank correlation | pearson r, product-moment correlation, bivariate correlation, Pearson Korelasyon Analizi |
| Saistītās≠ | 5 | 4 |
| Kopsavilkums≠ | Robust Correlation is a family of association measures that resist outliers, covering Spearman's rank correlation, Kendall's tau, and the biweight midcorrelation. Drawing on the robust-statistics tradition described by Wilcox (2012) and Shevlyakov & Oja (2016), it measures how strongly two variables move together without being distorted by a few extreme points. | 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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