قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| انحدار بيتا× | انحدار الكوانتيل× | |
|---|---|---|
| المجال≠ | الإحصاء | الاقتصاد القياسي |
| العائلة | Regression model | Regression model |
| سنة النشأة≠ | 2004 | 1978 |
| صاحب الطريقة≠ | Ferrari & Cribari-Neto | Koenker & Bassett |
| النوع≠ | Generalized linear model (beta distribution) | Conditional quantile regression |
| المصدر التأسيسي≠ | 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 ↗ |
| الأسماء البديلة | beta regression model, proportion regression, Beta Regresyonu | conditional quantile regression, regression quantiles, Kantil Regresyon |
| ذات صلة≠ | 4 | 5 |
| الملخص≠ | 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. |
| ScholarGateمجموعة البيانات ↗ |
|
|