HackerPapers

arXiv:2401.00649stat.ME

Linear Model and Extensions

Peng Ding

HN submission. Found in a submission link or body. Submitters do not count as commenters in the main ranking; a submission is not an endorsement.

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.

arXiv comments
More polished version with R code on Harvard Dataverse
Journal reference
DOI
Subjects
stat.MEMethodology (Statistics) stat.APApplications (Statistics)

On Hacker News

No comments linking this paper were found in the collected sources. Found in 1 HN submission from Aug 2024 to Aug 2024. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments0 threads

No comments linking this paper were found in the collected sources. Open submission discussions.

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.