term linear model refers to any model which assumes linearity in the system. The most common occurrence is in connection with regression models and the...

generalized linear model (GLM) is a flexible generalization of ordinary linear regression. The GLM generalizes linear regression by allowing the linear model to...

general linear model or general multivariate regression model is a compact way of simultaneously writing several multiple linear regression models. In that...

In statistics, linear regression is a statistical model which estimates the linear relationship between a scalar response and one or more explanatory...

Multilevel models (also known as hierarchical linear models, linear mixed-effect model, mixed models, nested data models, random coefficient, random-effects...

discuss mainly linear mixed-effects models rather than generalized linear mixed models or nonlinear mixed-effects models. Linear mixed models (LMMs) are statistical...

In statistics, a linear probability model (LPM) is a special case of a binary regression model. Here the dependent variable for each observation takes...

log-linear model is a mathematical model that takes the form of a function whose logarithm equals a linear combination of the parameters of the model, which...

statistics, a generalized linear mixed model (GLMM) is an extension to the generalized linear model (GLM) in which the linear predictor contains random...

The linear no-threshold model (LNT) is a dose-response model used in radiation protection to estimate stochastic health effects such as radiation-induced...