So sánh phương pháp

	Hồi quy Gamma (Mô hình Tuyến tính Tổng quát)	Hồi quy Poisson và Âm nhị thức
Lĩnh vực	Thống kê	Kinh tế lượng
Họ	Regression model	Regression model
Năm ra đời	1989	1998
Người khởi xướng	McCullagh & Nelder (GLM framework)	Cameron & Trivedi (textbook treatment); Hilbe (negative binomial)
Loại	Generalized linear model	Generalized linear model for count data
Công trình gốc	McCullagh, P. & Nelder, J. A. (1989). Generalized Linear Models (2nd ed.). Chapman and Hall.	Cameron, A. C. & Trivedi, P. K. (1998). Regression Analysis of Count Data. Cambridge University Press.
Tên gọi khác	gamma GLM, gamma generalized linear model, Gamma Regresyonu (GLM)	count regression, log-linear count model, negative binomial regression, Poisson / Negatif Binom Regresyon
Liên quan	4	4
Tóm tắt	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.	Poisson regression is a generalized linear model for count outcomes — events tallied as non-negative integers such as hospital admissions, accidents, or article counts. It models the log of the expected count as a linear function of the predictors, and is developed in the standard count-data treatment of Cameron and Trivedi (1998); when the counts are over-dispersed, the closely related negative binomial model (Hilbe, 2011) is preferred.