विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| प्रभाव निदान (कुक की दूरी, DFFITS, उत्तोलन)× | क्वांटाइल रिग्रेशन× | |
|---|---|---|
| क्षेत्र≠ | सांख्यिकी | अर्थमिति |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1977 | 1978 |
| प्रवर्तक≠ | R. Dennis Cook (Cook's distance); Belsley, Kuh & Welsch (DFFITS, leverage) | Koenker & Bassett |
| प्रकार≠ | Regression diagnostic | Conditional quantile regression |
| मौलिक स्रोत≠ | Cook, R. D. (1977). Detection of Influential Observations in Linear Regression. Technometrics, 19(1), 15-18. DOI ↗ | Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗ |
| उपनाम≠ | Cook's distance, DFFITS, leverage, influential observation detection | conditional quantile regression, regression quantiles, Kantil Regresyon |
| संबंधित | 5 | 5 |
| सारांश≠ | Influence diagnostics are a family of post-fit measures that quantify how much each single observation affects a fitted regression. Cook's distance was introduced by R. Dennis Cook in 1977, with leverage and DFFITS formalised by Belsley, Kuh and Welsch in 1980, to flag the observations that most strongly pull the estimated coefficients. | Quantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails. |
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