UMass Stats 525
Course-adjacent notes for UMass Stats 525 — probability, inference, and the statistical spine behind predictive work.
Graduate stats is not a different language from actuarial science; it is the same grammar with fewer industry acronyms and more measure theory.
What’s here
Course repository
University of Massachusetts Amherst, 2017, Stats 525 industrial engineering project.
Overlap map
Linear algebra, CLT demos, and clustering cover neighboring ground — use those when a 525 topic wants a visual.
Exam crossover
Many SOA / CAS ideas (likelihood, sufficiency, asymptotic normality) show up here with different homework packaging.
How to study from this shelf
- Definitions before tricks. Write the measure / probability space once; then the homework tricks stop feeling like magic.
- CLT as a modeling prior. Connect the theorem page to when Normal approximations are honest vs. when you need bootstrap or exact methods.
- Linear algebra is infrastructure. Projections, eigenvalues, and least squares are the same objects in Stats 525 and in GLMs.
- Drop files safely. Add notes under the folder index; keep this companion as the stable Articles link.
The course files are in Umass2017-S525-IE-Project. This page stays the stable link from Articles.