השוואת שיטות

	רגרסיית גמא (GLM)	רגרסיית קוונטילים
תחום	סטטיסטיקה	אקונומטריקה
משפחה	Regression model	Regression model
שנת המקור	1989	1978
הוגה השיטה	McCullagh & Nelder (GLM framework)	Koenker & Bassett
סוג	Generalized linear model	Conditional quantile regression
מקור מכונן	McCullagh, P. & Nelder, J. A. (1989). Generalized Linear Models (2nd ed.). Chapman and Hall.	Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50.
כינויים	gamma GLM, gamma generalized linear model, Gamma Regresyonu (GLM)	conditional quantile regression, regression quantiles, Kantil Regresyon
קשורות	4	5
תקציר	Gamma regression is a generalized linear model that uses the gamma distribution to model a positive, right-skewed continuous outcome. Developed within the GLM framework of McCullagh and Nelder (1989), it is an alternative to ordinary linear regression for variables such as health-care costs, durations, and income.	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.