A Recap on Linear Mixed Models and Their Hat-Matrices
This working paper has a twofold goal. On one hand, it provides a recap of Linear Mixed Models (LMMs): far from trying to be exhaustive, this first part of the working paper focusses on the derivation of theoretical results on estimation of LMMs that are scattered in the literature or whose mathematical derivation is sometimes missing or too quickly sketched. On the other hand, it discusses various definitions that are available in the literature for the hat-matrix of Linear Mixed Models, showing their limitations and proving their equivalence
Year of publication: |
2018
|
---|---|
Authors: | Lovison, Gianfranco |
Other Persons: | Sciandra, Mariangela (contributor) |
Publisher: |
[2018]: [S.l.] : SSRN |
Saved in:
freely available
Saved in favorites
Similar items by person
-
Subject-specific odds ratios in binomial GLMMs with continuous response
Sciandra, Mariangela, (2008)
-
A Model Based Approach to Spotify Data Analysis : A Beta GLMM
Sciandra, Mariangela, (2020)
-
Sciandra, Mariangela, (2018)
- More ...