Theoretical / proof-based
Linear models · Graduate · Statistics
Topics
Proof-based linear model theory
- Proof of Gauss–Markov theorem
- Distribution theory for normal linear models
- Cochran's theorem and ANOVA decomposition
- Best invariant estimation
- Asymptotics for linear models under misspecification
- Geometric interpretation in Hilbert space
Additional applied practice
- Reviewing assumptions with domain experts
- Documenting analysis choices for reproducibility
- Sensitivity analyses for key modeling decisions
- Connecting results to the original research or business question
Pricing
Graduate-level rates are set on consultation. See the pricing page for K–12 and undergraduate rates.