In this program
- Hierarchical data
- Random effects motivation
- LMM specification
- Interpretation
- Estimation: REML and ML
- BLUPs and shrinkage
- Crossed and nested random effects
Linear mixed models
Crossed and nested random effects
Mixed models · STEM / applied
Topic
Crossed and nested random effects
Graduate Mixed models — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).