Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Παλινδρόμηση Beta× | Παλινδρόμηση Ποσοστημορίων× | |
|---|---|---|
| Πεδίο≠ | Στατιστική | Οικονομετρία |
| Οικογένεια | Regression model | Regression model |
| Έτος προέλευσης≠ | 2004 | 1978 |
| Δημιουργός≠ | Ferrari & Cribari-Neto | Koenker & Bassett |
| Τύπος≠ | Generalized linear model (beta distribution) | Conditional quantile regression |
| Θεμελιώδης πηγή≠ | 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 ↗ |
| Εναλλακτικές ονομασίες | beta regression model, proportion regression, Beta Regresyonu | conditional quantile regression, regression quantiles, Kantil Regresyon |
| Συναφείς≠ | 4 | 5 |
| Σύνοψη≠ | 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. |
| ScholarGateΣύνολο δεδομένων ↗ |
|
|