Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Гамма-регрессия (Обобщенная линейная модель)× | Регрессия отрицательного биномиального распределения× | |
|---|---|---|
| Область≠ | Статистика | Эконометрика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1989 | 2011 |
| Автор метода≠ | McCullagh & Nelder (GLM framework) | Hilbe (textbook treatment); generalized linear model framework |
| Тип≠ | Generalized linear model | Generalized linear model for count data |
| Основополагающий источник≠ | McCullagh, P. & Nelder, J. A. (1989). Generalized Linear Models (2nd ed.). Chapman and Hall. DOI ↗ | Hilbe, J. M. (2011). Negative Binomial Regression (2nd ed.). Cambridge University Press. DOI ↗ |
| Другие названия | gamma GLM, gamma generalized linear model, Gamma Regresyonu (GLM) | NB regression, NB2 regression, negatif binom regresyonu |
| Связанные | 4 | 4 |
| Сводка≠ | 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. | Negative Binomial Regression is a generalized linear model for count outcomes that extends Poisson regression to handle overdispersion, where the variance of the counts exceeds their mean. Developed in the GLM tradition and treated in depth by Hilbe (2011), it adds a dispersion parameter so that inference stays valid when Poisson would understate the spread of the data. |
| ScholarGateНабор данных ↗ |
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