Krahasoni metodat
Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.
| Regresioni kuantil× | Regresioni me Mënyrën më të Vogël të Katrorëve (OLS)× | |
|---|---|---|
| Fusha | Ekonometri | Ekonometri |
| Familja | Regression model | Regression model |
| Viti i origjinës≠ | 1978 | 2019 |
| Krijuesi≠ | Koenker & Bassett | Wooldridge (textbook treatment); classical least squares |
| Lloji≠ | Conditional quantile regression | Linear regression |
| Burimi themelues≠ | Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗ | Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860 |
| Emërtime të tjera≠ | conditional quantile regression, regression quantiles, Kantil Regresyon | ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu |
| Të lidhura | 5 | 5 |
| Përmbledhja≠ | 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. | Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE). |
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