विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| बीटा प्रतिगमन× | क्वांटाइल रिग्रेशन× | |
|---|---|---|
| क्षेत्र≠ | सांख्यिकी | अर्थमिति |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 2004 | 1978 |
| प्रवर्तक≠ | Ferrari & Cribari-Neto | Koenker & Bassett |
| प्रकार≠ | Generalized linear model (beta distribution) | Conditional quantile regression |
| मौलिक स्रोत≠ | Ferrari, S. L. P. & Cribari-Neto, F. (2004). Beta Regression for Modelling Rates and Proportions. Journal of Applied Statistics, 31(7), 799–815. DOI ↗ | Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗ |
| उपनाम | beta regression model, proportion regression, Beta Regresyonu | conditional quantile regression, regression quantiles, Kantil Regresyon |
| संबंधित≠ | 4 | 5 |
| सारांश≠ | Beta regression is a generalized linear model introduced by Ferrari and Cribari-Neto (2004) for outcomes that are rates or proportions confined to the open interval (0,1). It models the mean of a beta-distributed response through a link function, making it the natural choice for fractions, probability scores, and proportion indices. | 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. |
| ScholarGateडेटासेट ↗ |
|
|