विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| ROC विश्लेषण (रिसीवर ऑपरेटिंग कैरेक्टरिस्टिक)× | केंडल का टाऊ रैंक सहसंबंध× | |
|---|---|---|
| क्षेत्र | सांख्यिकी | सांख्यिकी |
| परिवार | Hypothesis test | Hypothesis test |
| उद्भव वर्ष≠ | 1954 (signal detection); 1982 (AUC formalization) | 1938 |
| प्रवर्तक≠ | Peterson, Birdsall & Fox (signal detection theory); Hanley & McNeil (medical statistics) | Maurice G. Kendall |
| प्रकार≠ | Diagnostic accuracy evaluation | Nonparametric rank correlation |
| मौलिक स्रोत≠ | Hanley, J. A., & McNeil, B. J. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143(1), 29–36. DOI ↗ | Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1/2), 81–93. DOI ↗ |
| उपनाम | ROC curve analysis, AUC analysis, sensitivity-specificity analysis, diagnostic accuracy analysis | Kendall tau, Kendall rank correlation, tau-b, tau-c |
| संबंधित | 4 | 4 |
| सारांश≠ | ROC analysis evaluates how well a continuous or ordinal test variable discriminates between two binary outcome classes. By plotting the true positive rate (sensitivity) against the false positive rate (1 − specificity) across all decision thresholds, it produces a curve whose area under the curve (AUC) quantifies overall discriminative power, ranging from 0.5 (chance) to 1.0 (perfect discrimination). | 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. |
| ScholarGateडेटासेट ↗ |
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