विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| मजबूत सहसंबंध (स्पीयरमैन, केंडल, और बाईवेट)× | स्पीयरमैन रैंक सहसंबंध गुणांक (ρ)× | |
|---|---|---|
| क्षेत्र | सांख्यिकी | सांख्यिकी |
| परिवार≠ | Regression model | Hypothesis test |
| उद्भव वर्ष≠ | 2012 | 1904 |
| प्रवर्तक≠ | Spearman rank, Kendall tau; biweight from Wilcox / Shevlyakov & Oja robust statistics tradition | Charles Spearman |
| प्रकार≠ | Robust correlation measures | Nonparametric rank-based correlation |
| मौलिक स्रोत≠ | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing. Academic Press. ISBN: 978-0123869838 | Spearman, C. (1904). The proof and measurement of association between two things. The American Journal of Psychology, 15, 72–101. DOI ↗ |
| उपनाम≠ | Spearman correlation, Kendall tau, biweight midcorrelation, rank correlation | Spearman's rho, Spearman rank-order correlation, Spearman Sıra Korelasyonu |
| संबंधित≠ | 5 | 4 |
| सारांश≠ | 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 Spearman rank correlation coefficient (ρ) is a nonparametric measure of the monotonic association between two variables. Introduced by Charles Spearman in 1904, it converts raw observations to ranks and measures how consistently one variable increases as the other increases, without assuming a normal distribution or a linear relationship. |
| ScholarGateडेटासेट ↗ |
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