Residual Scaling: An Alternative to Correspondence Analysis for the Graphical Representation of Residuals from Log-Linear Models

1990 ◽  
Vol 25 (3) ◽  
pp. 351-370 ◽  
Author(s):  
Thomas P. Novak ◽  
Donna L. Hoffman
Keyword(s):  
Correspondence Analysis ◽  
Linear Models ◽  
Graphical Representation ◽  
Log Linear

scholarly journals Restricted graphical log-linear models

2015 ◽  
Vol 44 (4) ◽  
pp. 17-33 ◽  
Author(s):  
Ricardo Ramírez-Aldana ◽  
Guillermina Eslava-Gómez
Keyword(s):  
Linear Model ◽  
Linear Models ◽  
Graphical Representation ◽  
Order Interaction ◽  
First Order ◽  
New Type ◽  
Log Linear ◽  
Main Effects

We introduce a new type of graphical log-linear model called restricted graphical log-linear model. This model is obtained by imposing equality restrictions on subsets of main effects and of first-order interactions. These restrictions are obtained through partitions of the variable and first-order interaction sets. The vertices or variables in the same class have the same main effects in all their categories and the first-order interactions in the same class are equal. We study its properties and derive its associated likelihood equations and give some applications. A graphical representation is possible through a coloured graph.

When and why are log-linear models self-normalizing?

2015 ◽  
Author(s):  
Jacob Andreas ◽  
Dan Klein
Keyword(s):  
Linear Models ◽  
Log Linear
Sign in / Sign up

Export Citation Format

Share Document