A generalized linear model extends the traditional linear model and is, therefore, applicable to a wider range of data analysis problems. A generalized linear model consists of the following ...

Generalized Linear Models Generalized Linear Models Course Topics Many response variables are handled poorly by regression models when the errors are assumed to be normally distributed. For example, ...

A supremum-type statistic, based on partial sums of residuals, is proposed to test the validity of the mean function of the response variable in a generalized linear model. The proposed test does not ...

Solutions for Broken Linear Models Solutions for Broken Linear Models Course Topics Researchers from many fields can benefit from applied knowledge of general linear models. This class of models ...

Tomohiro Ando, Ker-chau Li, A WEIGHT-RELAXED MODEL AVERAGING APPROACH FOR HIGH-DIMENSIONAL GENERALIZED LINEAR MODELS, The Annals of Statistics, Vol. 45, No. 6 (December 2017), pp. 2654-2679 ...

This section provides an overview of a likelihood-based approach to general linear mixed models. This approach simplifies and unifies many common statistical analyses, including those involving ...

Linear Mixed Models and Estimation Techniques Publication Trend The graph below shows the total number of publications each year in Linear Mixed Models and Estimation Techniques.