Math 483 (Mathematical Statistics)

My schedule
Homework list
382 book
R stuff   A longer R intro
Book website

Week M W F
1 1.1 - 1.6 Probability review   Hw1 Probability review: conditional Probability review   Hw2
2 2: Random Variables   RV continued: transformations, CDF, joint distributions RV continued  
3 Labor Day   3: Expected values Expected values   Hw3
4 Expected values: MGFs   Chebyshev inequality and Ch.5 5: Convergence of RVs   Hw4
5 Ch.5: Theorem 5.5; Proof of CLT   Ch.5: S^2, proof of LLN   Ch.5: Delta method   Hw5
6 Estimates, T-distribution handout   Properties of estimates: Ch.6 Ch.7: empirical CDF
7 Ch 7: plug-in estimates   Review   key Midterm Exam   key
8 Ch 8: bootstrap (See R demo 8 under R stuff)   Ch.9: MOM   Hw6 49ers holiday
9 Ch 9: Max. Likelihood   Ch.9: MLE properties Ch.9: Fisher information   Hw7

Maintained by Oleg Makhnin (olegm att nmt edu)