Linear Model and Extensions
Methodology
2025-06-23 v2 Applications
Abstract
I developed the lecture notes based on my ``Linear Model'' course at the University of California, Berkeley over the past ten years. This book provides an intermediate-level introduction to the linear model. It balances rigorous proofs and heuristic arguments. This book provides R code to replicate all simulation studies and case studies.
Cite
@article{arxiv.2401.00649,
title = {Linear Model and Extensions},
author = {Peng Ding},
journal= {arXiv preprint arXiv:2401.00649},
year = {2025}
}
Comments
More polished version with R code on Harvard Dataverse