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

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

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...

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...

In statistics, linear regression is a statistical model which estimates the linear relationship between a scalar response (dependent variable) and one...

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

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

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

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

Google books Dawes, Robyn M. (1979). "The robust beauty of improper linear models in decision making". American Psychologist, volume 34, pages 571-582...